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TypePoster NumberOral Presentation Room / Poster LocationAdvisorFirst NameLast NameProject TitleAbstract
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Poster12nd FloorAmadiAmishaReddyDeveloping a Protein-miRNA Complex as a Non-invasive Liver Cancer BiosensorMicroRNA 122 (miR-122) is a highly expressed liver-specific small RNA that regulates cellular differentiation of hepatocytes and tumor suppression with the RNA Induced Silencing Complex (RISC) in Hepatocellular Carcinoma (HCC). The RISC complex is composed of RNAse III endonuclease DICER1, Transactivation Response RNA-binding protein (TARBP2), and Argonaute 2 (AGO2), which bind to the miR-122, enabling the microRNA target to act as a pro-apoptotic factor. However, non-invasive and affordable detection of miR-122 in the early stages of HCC is arguably non-existent. Here we show a potential non-invasive design consisting of a modified RISC complex that binds to miR-122, which can be used to measure and analyze the amount of miR-122 in a patient to determine the presence of HCC. Using synthetic biology and special chemistries, we designed biological components of the RISC complex and modified oligonucleotides representing tumor genes, their promoters, and premature and mature miRNAs. Protein identity was evaluated using gel electrophoresis methods and liquid chromatography-mass spectrometry. This affordable biosensor could be the first design to utilize a non-invasive method to early detect the presence of miR-122 in HCC. Future developments and success of this research would be a theoretical breakthrough in the field of oncology and preclinical drug discovery efforts.
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Poster12nd FloorAmadiMehaSekaranDeveloping a Protein-miRNA Complex as a Non-invasive Liver Cancer BiosensorMicroRNA 122 (miR-122) is a highly expressed liver-specific small RNA that regulates cellular differentiation of hepatocytes and tumor suppression with the RNA Induced Silencing Complex (RISC) in Hepatocellular Carcinoma (HCC). The RISC complex is composed of RNAse III endonuclease DICER1, Transactivation Response RNA-binding protein (TARBP2), and Argonaute 2 (AGO2), which bind to the miR-122, enabling the microRNA target to act as a pro-apoptotic factor. However, non-invasive and affordable detection of miR-122 in the early stages of HCC is arguably non-existent. Here we show a potential non-invasive design consisting of a modified RISC complex that binds to miR-122, which can be used to measure and analyze the amount of miR-122 in a patient to determine the presence of HCC. Using synthetic biology and special chemistries, we designed biological components of the RISC complex and modified oligonucleotides representing tumor genes, their promoters, and premature and mature miRNAs. Protein identity was evaluated using gel electrophoresis methods and liquid chromatography-mass spectrometry. This affordable biosensor could be the first design to utilize a non-invasive method to early detect the presence of miR-122 in HCC. Future developments and success of this research would be a theoretical breakthrough in the field of oncology and preclinical drug discovery efforts.
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Poster12nd FloorAmadiDivyaRaghuramanDeveloping a Protein-miRNA Complex as a Non-invasive Liver Cancer BiosensorMicroRNA 122 (miR-122) is a highly expressed liver-specific small RNA that regulates cellular differentiation of hepatocytes and tumor suppression with the RNA Induced Silencing Complex (RISC) in Hepatocellular Carcinoma (HCC). The RISC complex is composed of RNAse III endonuclease DICER1, Transactivation Response RNA-binding protein (TARBP2), and Argonaute 2 (AGO2), which bind to the miR-122, enabling the microRNA target to act as a pro-apoptotic factor. However, non-invasive and affordable detection of miR-122 in the early stages of HCC is arguably non-existent. Here we show a potential non-invasive design consisting of a modified RISC complex that binds to miR-122, which can be used to measure and analyze the amount of miR-122 in a patient to determine the presence of HCC. Using synthetic biology and special chemistries, we designed biological components of the RISC complex and modified oligonucleotides representing tumor genes, their promoters, and premature and mature miRNAs. Protein identity was evaluated using gel electrophoresis methods and liquid chromatography-mass spectrometry. This affordable biosensor could be the first design to utilize a non-invasive method to early detect the presence of miR-122 in HCC. Future developments and success of this research would be a theoretical breakthrough in the field of oncology and preclinical drug discovery efforts.
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Poster12nd FloorAmadiAyaanAhmedDeveloping a Protein-miRNA Complex as a Non-invasive Liver Cancer BiosensorMicroRNA 122 (miR-122) is a highly expressed liver-specific small RNA that regulates cellular differentiation of hepatocytes and tumor suppression with the RNA Induced Silencing Complex (RISC) in Hepatocellular Carcinoma (HCC). The RISC complex is composed of RNAse III endonuclease DICER1, Transactivation Response RNA-binding protein (TARBP2), and Argonaute 2 (AGO2), which bind to the miR-122, enabling the microRNA target to act as a pro-apoptotic factor. However, non-invasive and affordable detection of miR-122 in the early stages of HCC is arguably non-existent. Here we show a potential non-invasive design consisting of a modified RISC complex that binds to miR-122, which can be used to measure and analyze the amount of miR-122 in a patient to determine the presence of HCC. Using synthetic biology and special chemistries, we designed biological components of the RISC complex and modified oligonucleotides representing tumor genes, their promoters, and premature and mature miRNAs. Protein identity was evaluated using gel electrophoresis methods and liquid chromatography-mass spectrometry. This affordable biosensor could be the first design to utilize a non-invasive method to early detect the presence of miR-122 in HCC. Future developments and success of this research would be a theoretical breakthrough in the field of oncology and preclinical drug discovery efforts.
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Poster12nd FloorAmadiAayushiAgarwalDeveloping a Protein-miRNA Complex as a Non-invasive Liver Cancer BiosensorMicroRNA 122 (miR-122) is a highly expressed liver-specific small RNA that regulates cellular differentiation of hepatocytes and tumor suppression with the RNA Induced Silencing Complex (RISC) in Hepatocellular Carcinoma (HCC). The RISC complex is composed of RNAse III endonuclease DICER1, Transactivation Response RNA-binding protein (TARBP2), and Argonaute 2 (AGO2), which bind to the miR-122, enabling the microRNA target to act as a pro-apoptotic factor. However, non-invasive and affordable detection of miR-122 in the early stages of HCC is arguably non-existent. Here we show a potential non-invasive design consisting of a modified RISC complex that binds to miR-122, which can be used to measure and analyze the amount of miR-122 in a patient to determine the presence of HCC. Using synthetic biology and special chemistries, we designed biological components of the RISC complex and modified oligonucleotides representing tumor genes, their promoters, and premature and mature miRNAs. Protein identity was evaluated using gel electrophoresis methods and liquid chromatography-mass spectrometry. This affordable biosensor could be the first design to utilize a non-invasive method to early detect the presence of miR-122 in HCC. Future developments and success of this research would be a theoretical breakthrough in the field of oncology and preclinical drug discovery efforts.
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Poster12nd FloorAmadiNandiniVermaDeveloping a Protein-miRNA Complex as a Non-invasive Liver Cancer BiosensorMicroRNA 122 (miR-122) is a highly expressed liver-specific small RNA that regulates cellular differentiation of hepatocytes and tumor suppression with the RNA Induced Silencing Complex (RISC) in Hepatocellular Carcinoma (HCC). The RISC complex is composed of RNAse III endonuclease DICER1, Transactivation Response RNA-binding protein (TARBP2), and Argonaute 2 (AGO2), which bind to the miR-122, enabling the microRNA target to act as a pro-apoptotic factor. However, non-invasive and affordable detection of miR-122 in the early stages of HCC is arguably non-existent. Here we show a potential non-invasive design consisting of a modified RISC complex that binds to miR-122, which can be used to measure and analyze the amount of miR-122 in a patient to determine the presence of HCC. Using synthetic biology and special chemistries, we designed biological components of the RISC complex and modified oligonucleotides representing tumor genes, their promoters, and premature and mature miRNAs. Protein identity was evaluated using gel electrophoresis methods and liquid chromatography-mass spectrometry. This affordable biosensor could be the first design to utilize a non-invasive method to early detect the presence of miR-122 in HCC. Future developments and success of this research would be a theoretical breakthrough in the field of oncology and preclinical drug discovery efforts.
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Poster12nd FloorAmadiAnanyaMiriyalaDeveloping a Protein-miRNA Complex as a Non-invasive Liver Cancer BiosensorMicroRNA 122 (miR-122) is a highly expressed liver-specific small RNA that regulates cellular differentiation of hepatocytes and tumor suppression with the RNA Induced Silencing Complex (RISC) in Hepatocellular Carcinoma (HCC). The RISC complex is composed of RNAse III endonuclease DICER1, Transactivation Response RNA-binding protein (TARBP2), and Argonaute 2 (AGO2), which bind to the miR-122, enabling the microRNA target to act as a pro-apoptotic factor. However, non-invasive and affordable detection of miR-122 in the early stages of HCC is arguably non-existent. Here we show a potential non-invasive design consisting of a modified RISC complex that binds to miR-122, which can be used to measure and analyze the amount of miR-122 in a patient to determine the presence of HCC. Using synthetic biology and special chemistries, we designed biological components of the RISC complex and modified oligonucleotides representing tumor genes, their promoters, and premature and mature miRNAs. Protein identity was evaluated using gel electrophoresis methods and liquid chromatography-mass spectrometry. This affordable biosensor could be the first design to utilize a non-invasive method to early detect the presence of miR-122 in HCC. Future developments and success of this research would be a theoretical breakthrough in the field of oncology and preclinical drug discovery efforts.
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Poster12nd FloorAmadiVaniaPalaDeveloping a Protein-miRNA Complex as a Non-invasive Liver Cancer BiosensorMicroRNA 122 (miR-122) is a highly expressed liver-specific small RNA that regulates cellular differentiation of hepatocytes and tumor suppression with the RNA Induced Silencing Complex (RISC) in Hepatocellular Carcinoma (HCC). The RISC complex is composed of RNAse III endonuclease DICER1, Transactivation Response RNA-binding protein (TARBP2), and Argonaute 2 (AGO2), which bind to the miR-122, enabling the microRNA target to act as a pro-apoptotic factor. However, non-invasive and affordable detection of miR-122 in the early stages of HCC is arguably non-existent. Here we show a potential non-invasive design consisting of a modified RISC complex that binds to miR-122, which can be used to measure and analyze the amount of miR-122 in a patient to determine the presence of HCC. Using synthetic biology and special chemistries, we designed biological components of the RISC complex and modified oligonucleotides representing tumor genes, their promoters, and premature and mature miRNAs. Protein identity was evaluated using gel electrophoresis methods and liquid chromatography-mass spectrometry. This affordable biosensor could be the first design to utilize a non-invasive method to early detect the presence of miR-122 in HCC. Future developments and success of this research would be a theoretical breakthrough in the field of oncology and preclinical drug discovery efforts.
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Poster12nd FloorAmadiKaitlynSamDeveloping a Protein-miRNA Complex as a Non-invasive Liver Cancer BiosensorMicroRNA 122 (miR-122) is a highly expressed liver-specific small RNA that regulates cellular differentiation of hepatocytes and tumor suppression with the RNA Induced Silencing Complex (RISC) in Hepatocellular Carcinoma (HCC). The RISC complex is composed of RNAse III endonuclease DICER1, Transactivation Response RNA-binding protein (TARBP2), and Argonaute 2 (AGO2), which bind to the miR-122, enabling the microRNA target to act as a pro-apoptotic factor. However, non-invasive and affordable detection of miR-122 in the early stages of HCC is arguably non-existent. Here we show a potential non-invasive design consisting of a modified RISC complex that binds to miR-122, which can be used to measure and analyze the amount of miR-122 in a patient to determine the presence of HCC. Using synthetic biology and special chemistries, we designed biological components of the RISC complex and modified oligonucleotides representing tumor genes, their promoters, and premature and mature miRNAs. Protein identity was evaluated using gel electrophoresis methods and liquid chromatography-mass spectrometry. This affordable biosensor could be the first design to utilize a non-invasive method to early detect the presence of miR-122 in HCC. Future developments and success of this research would be a theoretical breakthrough in the field of oncology and preclinical drug discovery efforts.
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Poster52nd FloorAmerMaxPoloskyA Review of Cement Replacements and Innovations to Reduce CO2 Impacts of ConcreteIn this presentation, a preliminary but fairly comprehensive overview of SCMs is provided; various SCMs will be introduced and compared based on compiled metrics of cement replacement potential, availability, ease of use, and current usage.
With Portland Cement Concrete (PCC) use as a construction material becoming more prevalent, the accompanying carbon dioxide releases from cement production (4-8% of all man-made carbon emissions) are also a growing issue. Numerous industrial and agricultural waste products, called Supplementary Cementitious Materials (SCMs), have been introduced to concrete to replace cement and enhance its properties, thus reducing cement consumption. Current standard SCMs may not be enough to supply the developing world’s ever-increasing concrete demand. Therefore, other potential SCMs, such as biochar and glass waste, must be characterized to determine potential new SCMs.
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Poster52nd FloorAmerAvishZindalA Review of Cement Replacements and Innovations to Reduce CO2 Impacts of ConcreteIn this presentation, a preliminary but fairly comprehensive overview of SCMs is provided; various SCMs will be introduced and compared based on compiled metrics of cement replacement potential, availability, ease of use, and current usage.
With Portland Cement Concrete (PCC) use as a construction material becoming more prevalent, the accompanying carbon dioxide releases from cement production (4-8% of all man-made carbon emissions) are also a growing issue. Numerous industrial and agricultural waste products, called Supplementary Cementitious Materials (SCMs), have been introduced to concrete to replace cement and enhance its properties, thus reducing cement consumption. Current standard SCMs may not be enough to supply the developing world’s ever-increasing concrete demand. Therefore, other potential SCMs, such as biochar and glass waste, must be characterized to determine potential new SCMs.
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Poster202nd FloorBrahAdarshIyengarDocking Ligands using SwissDock and Autodock to learn about the most mutable ligands in PI3KThe purpose of this experiment is to find out which ligands are the most easily mutable which we can tell by checking the ligand binding affinities using Swissdock and Autodock. Of which Maestro was used as a modelling software to analyze physical characteristics to look at for future ligands to test.
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Poster202nd FloorBrahJaanviGanapathyDocking Ligands using SwissDock and Autodock to learn about the most mutable ligands in PI3KThe purpose of this experiment is to find out which ligands are the most easily mutable which we can tell by checking the ligand binding affinities using Swissdock and Autodock. Of which Maestro was used as a modelling software to analyze physical characteristics to look at for future ligands to test.
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Poster202nd FloorBrahNihaalPodeDocking Ligands using SwissDock and Autodock to learn about the most mutable ligands in PI3KThe purpose of this experiment is to find out which ligands are the most easily mutable which we can tell by checking the ligand binding affinities using Swissdock and Autodock. Of which Maestro was used as a modelling software to analyze physical characteristics to look at for future ligands to test.
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Poster413rd FloorCunhaAanyaBhasinThe in-silico and in-vitro characterization of epigenetic drugs (BET Pathway Targets) on a colorectal cancer cell lineMembers of the bromodomain and extra-terminal domain (BET) family can lead to the overexpression of oncogenes (Shorstova et al., 2021). These include BRD2, BRD3, BRD4, and BRDT, with BRD4 being the most prominent protein (Shorstova et al., 2021). BET inhibitors (BETi) moderately reduce colorectal cancer cell (CRC) proliferation and MYC expression when used in monotherapy (Ma et al., 2016). This study aims to determine the potential BETi in colorectal cancer (in silico) and identify the effects of siRNA inhibition on CRC (in vitro). While prior studies have studied BETi in other cancer types, few studies focus on colorectal cancer, the third-most common cause of cancer deaths in the United States (The American Cancer Society medical and editorial content team, 2022). Therefore, using BETi as a therapeutic option for colorectal cancer could reduce mortality rates. SiRNA is a non-coding RNA molecule that interferes with RNA pathways leading to mRNA degradation. Due to this, siRNA is used to silence genes of interest and has become a new way to target genes. Due to its double-stranded structure, it can form a complementary base pair with mRNA allowing it to be more successful than drugs (Lamberti, G., & Barba, A. A. (2020). Our group works with the plasmid called “pIRESneo-EGFP-alpha Tubulin,” as our focus gene is Actin, and the plasmid we selected is compatible with our cell line and codes for Actin. Actin is the most plentiful protein in most eukaryotic cells, and due to its unique properties, it is a critical component in cellular functions such as maintaining cell shape (Dominguez, R., & Holmes, K. C. (2011). In the future, we hope to target both the BRD4 protein complexes to determine how this therapeutic option can impact colorectal cancer cells. Using siRNA that inhibits the functions of the BET protein complex, this study will measure their effects through procedures including MTT (Freimoser et al., 1999) and qPCR (Mullis, 1985) to measure cell viability and gene expression levels.
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Poster413rd FloorCunhaYeshaSacataniThe in-silico and in-vitro characterization of epigenetic drugs (BET Pathway Targets) on a colorectal cancer cell lineMembers of the bromodomain and extra-terminal domain (BET) family can lead to the overexpression of oncogenes (Shorstova et al., 2021). These include BRD2, BRD3, BRD4, and BRDT, with BRD4 being the most prominent protein (Shorstova et al., 2021). BET inhibitors (BETi) moderately reduce colorectal cancer cell (CRC) proliferation and MYC expression when used in monotherapy (Ma et al., 2016). This study aims to determine the potential BETi in colorectal cancer (in silico) and identify the effects of siRNA inhibition on CRC (in vitro). While prior studies have studied BETi in other cancer types, few studies focus on colorectal cancer, the third-most common cause of cancer deaths in the United States (The American Cancer Society medical and editorial content team, 2022). Therefore, using BETi as a therapeutic option for colorectal cancer could reduce mortality rates. SiRNA is a non-coding RNA molecule that interferes with RNA pathways leading to mRNA degradation. Due to this, siRNA is used to silence genes of interest and has become a new way to target genes. Due to its double-stranded structure, it can form a complementary base pair with mRNA allowing it to be more successful than drugs (Lamberti, G., & Barba, A. A. (2020). Our group works with the plasmid called “pIRESneo-EGFP-alpha Tubulin,” as our focus gene is Actin, and the plasmid we selected is compatible with our cell line and codes for Actin. Actin is the most plentiful protein in most eukaryotic cells, and due to its unique properties, it is a critical component in cellular functions such as maintaining cell shape (Dominguez, R., & Holmes, K. C. (2011). In the future, we hope to target both the BRD4 protein complexes to determine how this therapeutic option can impact colorectal cancer cells. Using siRNA that inhibits the functions of the BET protein complex, this study will measure their effects through procedures including MTT (Freimoser et al., 1999) and qPCR (Mullis, 1985) to measure cell viability and gene expression levels.
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Poster413rd FloorCunhaSonyaSarThe in-silico and in-vitro characterization of epigenetic drugs (BET Pathway Targets) on a colorectal cancer cell lineMembers of the bromodomain and extra-terminal domain (BET) family can lead to the overexpression of oncogenes (Shorstova et al., 2021). These include BRD2, BRD3, BRD4, and BRDT, with BRD4 being the most prominent protein (Shorstova et al., 2021). BET inhibitors (BETi) moderately reduce colorectal cancer cell (CRC) proliferation and MYC expression when used in monotherapy (Ma et al., 2016). This study aims to determine the potential BETi in colorectal cancer (in silico) and identify the effects of siRNA inhibition on CRC (in vitro). While prior studies have studied BETi in other cancer types, few studies focus on colorectal cancer, the third-most common cause of cancer deaths in the United States (The American Cancer Society medical and editorial content team, 2022). Therefore, using BETi as a therapeutic option for colorectal cancer could reduce mortality rates. SiRNA is a non-coding RNA molecule that interferes with RNA pathways leading to mRNA degradation. Due to this, siRNA is used to silence genes of interest and has become a new way to target genes. Due to its double-stranded structure, it can form a complementary base pair with mRNA allowing it to be more successful than drugs (Lamberti, G., & Barba, A. A. (2020). Our group works with the plasmid called “pIRESneo-EGFP-alpha Tubulin,” as our focus gene is Actin, and the plasmid we selected is compatible with our cell line and codes for Actin. Actin is the most plentiful protein in most eukaryotic cells, and due to its unique properties, it is a critical component in cellular functions such as maintaining cell shape (Dominguez, R., & Holmes, K. C. (2011). In the future, we hope to target both the BRD4 protein complexes to determine how this therapeutic option can impact colorectal cancer cells. Using siRNA that inhibits the functions of the BET protein complex, this study will measure their effects through procedures including MTT (Freimoser et al., 1999) and qPCR (Mullis, 1985) to measure cell viability and gene expression levels.
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Poster413rd FloorCunhaMichelleGeorgeThe in-silico and in-vitro characterization of epigenetic drugs (BET Pathway Targets) on a colorectal cancer cell lineMembers of the bromodomain and extra-terminal domain (BET) family can lead to the overexpression of oncogenes (Shorstova et al., 2021). These include BRD2, BRD3, BRD4, and BRDT, with BRD4 being the most prominent protein (Shorstova et al., 2021). BET inhibitors (BETi) moderately reduce colorectal cancer cell (CRC) proliferation and MYC expression when used in monotherapy (Ma et al., 2016). This study aims to determine the potential BETi in colorectal cancer (in silico) and identify the effects of siRNA inhibition on CRC (in vitro). While prior studies have studied BETi in other cancer types, few studies focus on colorectal cancer, the third-most common cause of cancer deaths in the United States (The American Cancer Society medical and editorial content team, 2022). Therefore, using BETi as a therapeutic option for colorectal cancer could reduce mortality rates. SiRNA is a non-coding RNA molecule that interferes with RNA pathways leading to mRNA degradation. Due to this, siRNA is used to silence genes of interest and has become a new way to target genes. Due to its double-stranded structure, it can form a complementary base pair with mRNA allowing it to be more successful than drugs (Lamberti, G., & Barba, A. A. (2020). Our group works with the plasmid called “pIRESneo-EGFP-alpha Tubulin,” as our focus gene is Actin, and the plasmid we selected is compatible with our cell line and codes for Actin. Actin is the most plentiful protein in most eukaryotic cells, and due to its unique properties, it is a critical component in cellular functions such as maintaining cell shape (Dominguez, R., & Holmes, K. C. (2011). In the future, we hope to target both the BRD4 protein complexes to determine how this therapeutic option can impact colorectal cancer cells. Using siRNA that inhibits the functions of the BET protein complex, this study will measure their effects through procedures including MTT (Freimoser et al., 1999) and qPCR (Mullis, 1985) to measure cell viability and gene expression levels.
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Poster413rd FloorCunhaAarushKatakamThe in-silico and in-vitro characterization of epigenetic drugs (BET Pathway Targets) on a colorectal cancer cell lineMembers of the bromodomain and extra-terminal domain (BET) family can lead to the overexpression of oncogenes (Shorstova et al., 2021). These include BRD2, BRD3, BRD4, and BRDT, with BRD4 being the most prominent protein (Shorstova et al., 2021). BET inhibitors (BETi) moderately reduce colorectal cancer cell (CRC) proliferation and MYC expression when used in monotherapy (Ma et al., 2016). This study aims to determine the potential BETi in colorectal cancer (in silico) and identify the effects of siRNA inhibition on CRC (in vitro). While prior studies have studied BETi in other cancer types, few studies focus on colorectal cancer, the third-most common cause of cancer deaths in the United States (The American Cancer Society medical and editorial content team, 2022). Therefore, using BETi as a therapeutic option for colorectal cancer could reduce mortality rates. SiRNA is a non-coding RNA molecule that interferes with RNA pathways leading to mRNA degradation. Due to this, siRNA is used to silence genes of interest and has become a new way to target genes. Due to its double-stranded structure, it can form a complementary base pair with mRNA allowing it to be more successful than drugs (Lamberti, G., & Barba, A. A. (2020). Our group works with the plasmid called “pIRESneo-EGFP-alpha Tubulin,” as our focus gene is Actin, and the plasmid we selected is compatible with our cell line and codes for Actin. Actin is the most plentiful protein in most eukaryotic cells, and due to its unique properties, it is a critical component in cellular functions such as maintaining cell shape (Dominguez, R., & Holmes, K. C. (2011). In the future, we hope to target both the BRD4 protein complexes to determine how this therapeutic option can impact colorectal cancer cells. Using siRNA that inhibits the functions of the BET protein complex, this study will measure their effects through procedures including MTT (Freimoser et al., 1999) and qPCR (Mullis, 1985) to measure cell viability and gene expression levels.
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Poster413rd FloorCunhaAgastyaBhardwajThe in-silico and in-vitro characterization of epigenetic drugs (BET Pathway Targets) on a colorectal cancer cell lineMembers of the bromodomain and extra-terminal domain (BET) family can lead to the overexpression of oncogenes (Shorstova et al., 2021). These include BRD2, BRD3, BRD4, and BRDT, with BRD4 being the most prominent protein (Shorstova et al., 2021). BET inhibitors (BETi) moderately reduce colorectal cancer cell (CRC) proliferation and MYC expression when used in monotherapy (Ma et al., 2016). This study aims to determine the potential BETi in colorectal cancer (in silico) and identify the effects of siRNA inhibition on CRC (in vitro). While prior studies have studied BETi in other cancer types, few studies focus on colorectal cancer, the third-most common cause of cancer deaths in the United States (The American Cancer Society medical and editorial content team, 2022). Therefore, using BETi as a therapeutic option for colorectal cancer could reduce mortality rates. SiRNA is a non-coding RNA molecule that interferes with RNA pathways leading to mRNA degradation. Due to this, siRNA is used to silence genes of interest and has become a new way to target genes. Due to its double-stranded structure, it can form a complementary base pair with mRNA allowing it to be more successful than drugs (Lamberti, G., & Barba, A. A. (2020). Our group works with the plasmid called “pIRESneo-EGFP-alpha Tubulin,” as our focus gene is Actin, and the plasmid we selected is compatible with our cell line and codes for Actin. Actin is the most plentiful protein in most eukaryotic cells, and due to its unique properties, it is a critical component in cellular functions such as maintaining cell shape (Dominguez, R., & Holmes, K. C. (2011). In the future, we hope to target both the BRD4 protein complexes to determine how this therapeutic option can impact colorectal cancer cells. Using siRNA that inhibits the functions of the BET protein complex, this study will measure their effects through procedures including MTT (Freimoser et al., 1999) and qPCR (Mullis, 1985) to measure cell viability and gene expression levels.
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Poster413rd FloorCunhaAishwaryaGogiThe in-silico and in-vitro characterization of epigenetic drugs (BET Pathway Targets) on a colorectal cancer cell lineMembers of the bromodomain and extra-terminal domain (BET) family can lead to the overexpression of oncogenes (Shorstova et al., 2021). These include BRD2, BRD3, BRD4, and BRDT, with BRD4 being the most prominent protein (Shorstova et al., 2021). BET inhibitors (BETi) moderately reduce colorectal cancer cell (CRC) proliferation and MYC expression when used in monotherapy (Ma et al., 2016). This study aims to determine the potential BETi in colorectal cancer (in silico) and identify the effects of siRNA inhibition on CRC (in vitro). While prior studies have studied BETi in other cancer types, few studies focus on colorectal cancer, the third-most common cause of cancer deaths in the United States (The American Cancer Society medical and editorial content team, 2022). Therefore, using BETi as a therapeutic option for colorectal cancer could reduce mortality rates. SiRNA is a non-coding RNA molecule that interferes with RNA pathways leading to mRNA degradation. Due to this, siRNA is used to silence genes of interest and has become a new way to target genes. Due to its double-stranded structure, it can form a complementary base pair with mRNA allowing it to be more successful than drugs (Lamberti, G., & Barba, A. A. (2020). Our group works with the plasmid called “pIRESneo-EGFP-alpha Tubulin,” as our focus gene is Actin, and the plasmid we selected is compatible with our cell line and codes for Actin. Actin is the most plentiful protein in most eukaryotic cells, and due to its unique properties, it is a critical component in cellular functions such as maintaining cell shape (Dominguez, R., & Holmes, K. C. (2011). In the future, we hope to target both the BRD4 protein complexes to determine how this therapeutic option can impact colorectal cancer cells. Using siRNA that inhibits the functions of the BET protein complex, this study will measure their effects through procedures including MTT (Freimoser et al., 1999) and qPCR (Mullis, 1985) to measure cell viability and gene expression levels.
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Poster413rd FloorCunhaSiyaNavalgundkarThe in-silico and in-vitro characterization of epigenetic drugs (BET Pathway Targets) on a colorectal cancer cell lineMembers of the bromodomain and extra-terminal domain (BET) family can lead to the overexpression of oncogenes (Shorstova et al., 2021). These include BRD2, BRD3, BRD4, and BRDT, with BRD4 being the most prominent protein (Shorstova et al., 2021). BET inhibitors (BETi) moderately reduce colorectal cancer cell (CRC) proliferation and MYC expression when used in monotherapy (Ma et al., 2016). This study aims to determine the potential BETi in colorectal cancer (in silico) and identify the effects of siRNA inhibition on CRC (in vitro). While prior studies have studied BETi in other cancer types, few studies focus on colorectal cancer, the third-most common cause of cancer deaths in the United States (The American Cancer Society medical and editorial content team, 2022). Therefore, using BETi as a therapeutic option for colorectal cancer could reduce mortality rates. SiRNA is a non-coding RNA molecule that interferes with RNA pathways leading to mRNA degradation. Due to this, siRNA is used to silence genes of interest and has become a new way to target genes. Due to its double-stranded structure, it can form a complementary base pair with mRNA allowing it to be more successful than drugs (Lamberti, G., & Barba, A. A. (2020). Our group works with the plasmid called “pIRESneo-EGFP-alpha Tubulin,” as our focus gene is Actin, and the plasmid we selected is compatible with our cell line and codes for Actin. Actin is the most plentiful protein in most eukaryotic cells, and due to its unique properties, it is a critical component in cellular functions such as maintaining cell shape (Dominguez, R., & Holmes, K. C. (2011). In the future, we hope to target both the BRD4 protein complexes to determine how this therapeutic option can impact colorectal cancer cells. Using siRNA that inhibits the functions of the BET protein complex, this study will measure their effects through procedures including MTT (Freimoser et al., 1999) and qPCR (Mullis, 1985) to measure cell viability and gene expression levels.
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Poster142nd FloorCunhaCherylCheungComparative Genomic Analysis of Colorectal Cancer Microbiome Bacteria to Discover Novel RelationshipsColorectal cancer (CRC) is uncontrolled tumor growth that starts in the rectum or colon (Park E. et al., 2022). Many factors affect the development of cancer, including daily habits, environments, and genetics. Our research focuses on analyzing the differences in pathways/enzymes between cancerous and non-cancerous associated bacteria in the gut microbiome outlined by a recent cancer microbiome review (Park E. et al., 2022). By utilizing the Bacterial and Viral Bioinformatics Resource Center (BV-BRC), we compiled our bacteria’s genetic information into genome groups and used the comparative systems service to identify target pathways and construct phylogenetic trees. After focusing on genomes, we delved deeper into the enzymes. The programming language R was used to narrow down four specific enzymes from the set of genomes: two from the pathways only in non-cancerous bacteria and two in cancerous-associated bacteria. A Multiple Sequence Alignment (MSA) run at the genome level identified the range of lowest entropy among the genes in the four enzymes - one of which had the lowest range of 30-40. We are using NCBI Blast and other bioinformatics methods to characterize/validate the four enzymes in our respective target bacteria. Our end goal is to target/screen the unique pathways and enzymes (like the enzyme with EC number 5.4.3.2) of the cancer-associated bacteria and non-cancerous associated bacteria to decrease the metastasis of CRC tumors (Park E. et al., 2022). These genes, that help create the enzymes, can be manipulated in the wet lab as shown by the cited paper.
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Poster142nd FloorCunhaAnishJupudyComparative Genomic Analysis of Colorectal Cancer Microbiome Bacteria to Discover Novel RelationshipsColorectal cancer (CRC) is uncontrolled tumor growth that starts in the rectum or colon (Park E. et al., 2022). Many factors affect the development of cancer, including daily habits, environments, and genetics. Our research focuses on analyzing the differences in pathways/enzymes between cancerous and non-cancerous associated bacteria in the gut microbiome outlined by a recent cancer microbiome review (Park E. et al., 2022). By utilizing the Bacterial and Viral Bioinformatics Resource Center (BV-BRC), we compiled our bacteria’s genetic information into genome groups and used the comparative systems service to identify target pathways and construct phylogenetic trees. After focusing on genomes, we delved deeper into the enzymes. The programming language R was used to narrow down four specific enzymes from the set of genomes: two from the pathways only in non-cancerous bacteria and two in cancerous-associated bacteria. A Multiple Sequence Alignment (MSA) run at the genome level identified the range of lowest entropy among the genes in the four enzymes - one of which had the lowest range of 30-40. We are using NCBI Blast and other bioinformatics methods to characterize/validate the four enzymes in our respective target bacteria. Our end goal is to target/screen the unique pathways and enzymes (like the enzyme with EC number 5.4.3.2) of the cancer-associated bacteria and non-cancerous associated bacteria to decrease the metastasis of CRC tumors (Park E. et al., 2022). These genes, that help create the enzymes, can be manipulated in the wet lab as shown by the cited paper.
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Poster142nd FloorCunhaShriyaViswanathanComparative Genomic Analysis of Colorectal Cancer Microbiome Bacteria to Discover Novel RelationshipsColorectal cancer (CRC) is uncontrolled tumor growth that starts in the rectum or colon (Park E. et al., 2022). Many factors affect the development of cancer, including daily habits, environments, and genetics. Our research focuses on analyzing the differences in pathways/enzymes between cancerous and non-cancerous associated bacteria in the gut microbiome outlined by a recent cancer microbiome review (Park E. et al., 2022). By utilizing the Bacterial and Viral Bioinformatics Resource Center (BV-BRC), we compiled our bacteria’s genetic information into genome groups and used the comparative systems service to identify target pathways and construct phylogenetic trees. After focusing on genomes, we delved deeper into the enzymes. The programming language R was used to narrow down four specific enzymes from the set of genomes: two from the pathways only in non-cancerous bacteria and two in cancerous-associated bacteria. A Multiple Sequence Alignment (MSA) run at the genome level identified the range of lowest entropy among the genes in the four enzymes - one of which had the lowest range of 30-40. We are using NCBI Blast and other bioinformatics methods to characterize/validate the four enzymes in our respective target bacteria. Our end goal is to target/screen the unique pathways and enzymes (like the enzyme with EC number 5.4.3.2) of the cancer-associated bacteria and non-cancerous associated bacteria to decrease the metastasis of CRC tumors (Park E. et al., 2022). These genes, that help create the enzymes, can be manipulated in the wet lab as shown by the cited paper.
27
Poster/Oral Presentation29
GC 308 / 3rd Floor
CunhaShreeRaoIn vitro characterization of siRNAs for DNA methyltransferases (DNMT1) and Serum Response Factor (SRF) on HCT-116 Colorectal cancer cellsColorectal cancer (CRC) starts in the colon or the rectum, and is the third most common cancer, the second most common cancer leading to death (American Cancer Society, 2019). We used the cell line known as epithelial human colorectal carcinoma 116 (HCT-116) cell line, which was derived from an adult male (Imanis Life Sciences, n.d.). The project’s main goal is to compare various DNMT inhibitors that reactivate tumor suppressor genes by demethylating them (Brueckner et al., 2005). We chose decitabine as the control variable due to its potency as a nucleoside inhibitor (Rondelet et al., 2017). Through this use of decitabine, we plan on comparing its efficacy to various DNMT and later HDAC inhibitors (Xu et al. 2007). We will also be using MTT assays, qPCR, and Western Blots for further research.
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Poster/Oral Presentation29
GC 308 / 3rd Floor
CunhaVismayaNairIn vitro characterization of siRNAs for DNA methyltransferases (DNMT1) and Serum Response Factor (SRF) on HCT-116 Colorectal cancer cellsColorectal cancer (CRC) starts in the colon or the rectum, and is the third most common cancer, the second most common cancer leading to death (American Cancer Society, 2019). We used the cell line known as epithelial human colorectal carcinoma 116 (HCT-116) cell line, which was derived from an adult male (Imanis Life Sciences, n.d.). The project’s main goal is to compare various DNMT inhibitors that reactivate tumor suppressor genes by demethylating them (Brueckner et al., 2005). We chose decitabine as the control variable due to its potency as a nucleoside inhibitor (Rondelet et al., 2017). Through this use of decitabine, we plan on comparing its efficacy to various DNMT and later HDAC inhibitors (Xu et al. 2007). We will also be using MTT assays, qPCR, and Western Blots for further research.
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Poster/Oral Presentation29
GC 308 / 3rd Floor
CunhaArushiMohapatraIn vitro characterization of siRNAs for DNA methyltransferases (DNMT1) and Serum Response Factor (SRF) on HCT-116 Colorectal cancer cellsColorectal cancer (CRC) starts in the colon or the rectum, and is the third most common cancer, the second most common cancer leading to death (American Cancer Society, 2019). We used the cell line known as epithelial human colorectal carcinoma 116 (HCT-116) cell line, which was derived from an adult male (Imanis Life Sciences, n.d.). The project’s main goal is to compare various DNMT inhibitors that reactivate tumor suppressor genes by demethylating them (Brueckner et al., 2005). We chose decitabine as the control variable due to its potency as a nucleoside inhibitor (Rondelet et al., 2017). Through this use of decitabine, we plan on comparing its efficacy to various DNMT and later HDAC inhibitors (Xu et al. 2007). We will also be using MTT assays, qPCR, and Western Blots for further research.
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Poster/Oral Presentation29
GC 308 / 3rd Floor
CunhaNainikaSrinivasanIn vitro characterization of siRNAs for DNA methyltransferases (DNMT1) and Serum Response Factor (SRF) on HCT-116 Colorectal cancer cellsColorectal cancer (CRC) starts in the colon or the rectum, and is the third most common cancer, the second most common cancer leading to death (American Cancer Society, 2019). We used the cell line known as epithelial human colorectal carcinoma 116 (HCT-116) cell line, which was derived from an adult male (Imanis Life Sciences, n.d.). The project’s main goal is to compare various DNMT inhibitors that reactivate tumor suppressor genes by demethylating them (Brueckner et al., 2005). We chose decitabine as the control variable due to its potency as a nucleoside inhibitor (Rondelet et al., 2017). Through this use of decitabine, we plan on comparing its efficacy to various DNMT and later HDAC inhibitors (Xu et al. 2007). We will also be using MTT assays, qPCR, and Western Blots for further research.
31
Poster/Oral Presentation29
GC 308 / 3rd Floor
CunhaVarsitaaSrinivasanIn vitro characterization of siRNAs for DNA methyltransferases (DNMT1) and Serum Response Factor (SRF) on HCT-116 Colorectal cancer cellsColorectal cancer (CRC) starts in the colon or the rectum, and is the third most common cancer, the second most common cancer leading to death (American Cancer Society, 2019). We used the cell line known as epithelial human colorectal carcinoma 116 (HCT-116) cell line, which was derived from an adult male (Imanis Life Sciences, n.d.). The project’s main goal is to compare various DNMT inhibitors that reactivate tumor suppressor genes by demethylating them (Brueckner et al., 2005). We chose decitabine as the control variable due to its potency as a nucleoside inhibitor (Rondelet et al., 2017). Through this use of decitabine, we plan on comparing its efficacy to various DNMT and later HDAC inhibitors (Xu et al. 2007). We will also be using MTT assays, qPCR, and Western Blots for further research.
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Poster/Oral Presentation29
GC 308 / 3rd Floor
CunhaSiddarthIyerIn vitro characterization of siRNAs for DNA methyltransferases (DNMT1) and Serum Response Factor (SRF) on HCT-116 Colorectal cancer cellsColorectal cancer (CRC) starts in the colon or the rectum, and is the third most common cancer, the second most common cancer leading to death (American Cancer Society, 2019). We used the cell line known as epithelial human colorectal carcinoma 116 (HCT-116) cell line, which was derived from an adult male (Imanis Life Sciences, n.d.). The project’s main goal is to compare various DNMT inhibitors that reactivate tumor suppressor genes by demethylating them (Brueckner et al., 2005). We chose decitabine as the control variable due to its potency as a nucleoside inhibitor (Rondelet et al., 2017). Through this use of decitabine, we plan on comparing its efficacy to various DNMT and later HDAC inhibitors (Xu et al. 2007). We will also be using MTT assays, qPCR, and Western Blots for further research.
33
Poster/Oral Presentation29
GC 308 / 3rd Floor
CunhaAbhithaKokallaIn vitro characterization of siRNAs for DNA methyltransferases (DNMT1) and Serum Response Factor (SRF) on HCT-116 Colorectal cancer cellsColorectal cancer (CRC) starts in the colon or the rectum, and is the third most common cancer, the second most common cancer leading to death (American Cancer Society, 2019). We used the cell line known as epithelial human colorectal carcinoma 116 (HCT-116) cell line, which was derived from an adult male (Imanis Life Sciences, n.d.). The project’s main goal is to compare various DNMT inhibitors that reactivate tumor suppressor genes by demethylating them (Brueckner et al., 2005). We chose decitabine as the control variable due to its potency as a nucleoside inhibitor (Rondelet et al., 2017). Through this use of decitabine, we plan on comparing its efficacy to various DNMT and later HDAC inhibitors (Xu et al. 2007). We will also be using MTT assays, qPCR, and Western Blots for further research.
34
Poster/Oral Presentation29
GC 308 / 3rd Floor
CunhaChloeSuIn vitro characterization of siRNAs for DNA methyltransferases (DNMT1) and Serum Response Factor (SRF) on HCT-116 Colorectal cancer cellsColorectal cancer (CRC) starts in the colon or the rectum, and is the third most common cancer, the second most common cancer leading to death (American Cancer Society, 2019). We used the cell line known as epithelial human colorectal carcinoma 116 (HCT-116) cell line, which was derived from an adult male (Imanis Life Sciences, n.d.). The project’s main goal is to compare various DNMT inhibitors that reactivate tumor suppressor genes by demethylating them (Brueckner et al., 2005). We chose decitabine as the control variable due to its potency as a nucleoside inhibitor (Rondelet et al., 2017). Through this use of decitabine, we plan on comparing its efficacy to various DNMT and later HDAC inhibitors (Xu et al. 2007). We will also be using MTT assays, qPCR, and Western Blots for further research.
35
Poster253rd FloorDeGrendeleRitvikSharmaImplementation of an Adam Optimizer in Reducing Loss Function Output Values for Calculating Central Numerical Derivatives using a Py Torch Neural NetworkOur project focuses on incorporating a neural network to predict/approximate the numerical derivatives of any given arbitrary function. Here we show that machine learning algorithms can be successfully used to take discretized data and return the numerical derivative of a given function. Numerical derivatives are an essential part of computational simulations as they are a main tool in solving partial differential equations. We utilize the python library PyTorch and the SQLite database to store our data.
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Poster82nd FloorDharmaleVishruthNarasimhanASL Gesture Recognition by Machine LearningASL images and gesture videos are parsed into a dataset, the dataset trained using machine learning algorithms including CNNs(Convoluted Neural Networks) and RNNs(Recurrent Neural Networks) in order to effectively comprehend and classify ASL gestures when used for real-time application.
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Poster82nd FloorDharmaleNarenKarlekarASL Gesture Recognition by Machine LearningASL images and gesture videos are parsed into a dataset, the dataset trained using machine learning algorithms including CNNs(Convoluted Neural Networks) and RNNs(Recurrent Neural Networks) in order to effectively comprehend and classify ASL gestures when used for real-time application.
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Poster82nd FloorDharmaleJessicaHsuASL Gesture Recognition by Machine LearningASL images and gesture videos are parsed into a dataset, the dataset trained using machine learning algorithms including CNNs(Convoluted Neural Networks) and RNNs(Recurrent Neural Networks) in order to effectively comprehend and classify ASL gestures when used for real-time application.
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Poster82nd FloorDharmaleAnishPolakalaASL Gesture Recognition by Machine LearningASL images and gesture videos are parsed into a dataset, the dataset trained using machine learning algorithms including CNNs(Convoluted Neural Networks) and RNNs(Recurrent Neural Networks) in order to effectively comprehend and classify ASL gestures when used for real-time application.
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Poster82nd FloorDharmaleDiyaDeshpandeASL Gesture Recognition by Machine LearningASL images and gesture videos are parsed into a dataset, the dataset trained using machine learning algorithms including CNNs(Convoluted Neural Networks) and RNNs(Recurrent Neural Networks) in order to effectively comprehend and classify ASL gestures when used for real-time application.
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Poster82nd FloorDharmaleArshGuptaASL Gesture Recognition by Machine LearningASL images and gesture videos are parsed into a dataset, the dataset trained using machine learning algorithms including CNNs(Convoluted Neural Networks) and RNNs(Recurrent Neural Networks) in order to effectively comprehend and classify ASL gestures when used for real-time application.
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Poster172nd FloorDowningIshitaBhadraDecoding the Secrets of the Voynich Manuscript with Frequency Analysis and Mean Square Error Image AnalysisThe Voynich Manuscript, also known as MS 408, is a codex from the early 1400s, containing an unknown script referred to as “Voynichese”. The manuscript has perplexed researchers for centuries, and so far, nobody has produced a conclusive translation. Our study investigated the linguistic origins of Voynichese via comparison to letter frequency distributions from five other languages spoken along the Silk Road: Latin, Bahasa, Portuguese, Italian, and Galician Portuguese. The Kolmogorov- Smirnov Test for Goodness was applied in identifying the root language of Voynichese. Next, we explored bigram frequency distributions, probing the possibility of Voynichese characters representing syllables. However, these results were not conclusive. We then examined specific characters as originally written in Voynichese, finding visual similarities in known languages. This led us to consider another possibility: although the character set is unique, it may have roots from societies located along the Silk Road, rather than a monolithic character set as previously thought. To verify this, we used computer vision and mean square analysis to find a similarity between the manuscript and the languages mentioned above. So far, our results from frequency analysis suggest that although Galician Portuguese was most similar, Voynichese has distinctive characteristics that make it unique and unattributable to the five languages chosen.
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Poster172nd FloorDowningAlexanderLauDecoding the Secrets of the Voynich Manuscript with Frequency Analysis and Mean Square Error Image AnalysisThe Voynich Manuscript, also known as MS 408, is a codex from the early 1400s, containing an unknown script referred to as “Voynichese”. The manuscript has perplexed researchers for centuries, and so far, nobody has produced a conclusive translation. Our study investigated the linguistic origins of Voynichese via comparison to letter frequency distributions from five other languages spoken along the Silk Road: Latin, Bahasa, Portuguese, Italian, and Galician Portuguese. The Kolmogorov- Smirnov Test for Goodness was applied in identifying the root language of Voynichese. Next, we explored bigram frequency distributions, probing the possibility of Voynichese characters representing syllables. However, these results were not conclusive. We then examined specific characters as originally written in Voynichese, finding visual similarities in known languages. This led us to consider another possibility: although the character set is unique, it may have roots from societies located along the Silk Road, rather than a monolithic character set as previously thought. To verify this, we used computer vision and mean square analysis to find a similarity between the manuscript and the languages mentioned above. So far, our results from frequency analysis suggest that although Galician Portuguese was most similar, Voynichese has distinctive characteristics that make it unique and unattributable to the five languages chosen.
44
Poster172nd FloorDowningHenryLiuDecoding the Secrets of the Voynich Manuscript with Frequency Analysis and Mean Square Error Image AnalysisThe Voynich Manuscript, also known as MS 408, is a codex from the early 1400s, containing an unknown script referred to as “Voynichese”. The manuscript has perplexed researchers for centuries, and so far, nobody has produced a conclusive translation. Our study investigated the linguistic origins of Voynichese via comparison to letter frequency distributions from five other languages spoken along the Silk Road: Latin, Bahasa, Portuguese, Italian, and Galician Portuguese. The Kolmogorov- Smirnov Test for Goodness was applied in identifying the root language of Voynichese. Next, we explored bigram frequency distributions, probing the possibility of Voynichese characters representing syllables. However, these results were not conclusive. We then examined specific characters as originally written in Voynichese, finding visual similarities in known languages. This led us to consider another possibility: although the character set is unique, it may have roots from societies located along the Silk Road, rather than a monolithic character set as previously thought. To verify this, we used computer vision and mean square analysis to find a similarity between the manuscript and the languages mentioned above. So far, our results from frequency analysis suggest that although Galician Portuguese was most similar, Voynichese has distinctive characteristics that make it unique and unattributable to the five languages chosen.
45
Poster172nd FloorDowningNirvanMonangiDecoding the Secrets of the Voynich Manuscript with Frequency Analysis and Mean Square Error Image AnalysisThe Voynich Manuscript, also known as MS 408, is a codex from the early 1400s, containing an unknown script referred to as “Voynichese”. The manuscript has perplexed researchers for centuries, and so far, nobody has produced a conclusive translation. Our study investigated the linguistic origins of Voynichese via comparison to letter frequency distributions from five other languages spoken along the Silk Road: Latin, Bahasa, Portuguese, Italian, and Galician Portuguese. The Kolmogorov- Smirnov Test for Goodness was applied in identifying the root language of Voynichese. Next, we explored bigram frequency distributions, probing the possibility of Voynichese characters representing syllables. However, these results were not conclusive. We then examined specific characters as originally written in Voynichese, finding visual similarities in known languages. This led us to consider another possibility: although the character set is unique, it may have roots from societies located along the Silk Road, rather than a monolithic character set as previously thought. To verify this, we used computer vision and mean square analysis to find a similarity between the manuscript and the languages mentioned above. So far, our results from frequency analysis suggest that although Galician Portuguese was most similar, Voynichese has distinctive characteristics that make it unique and unattributable to the five languages chosen.
46
Poster/Oral Presentation2
GC 302 / 2nd Floor
DowningShreyaBaroniaSoft Robotic Gripper for Ocean Trash CleanupWith microplastics and millions of tons of ocean trash entering the ocean each year, marine life has experienced significant repercussions. Plastics and trash that find their way into the oceans kill thousands of animals every year from entanglement and create ocean “dead zones” in which animals cannot survive. Significant progress has to be made to clean the oceans of floating debris to prevent marine life from dying. However, traditional equipment such as nets cannot efficiently collect small pieces of plastic; the use of soft robotics can mitigate this problem. Soft robots can be deployed into the ocean to pick up underwater debris that is out of the range of nets. The proposed mechanisms are a cable-driven gripper modeled on a feather star, a mothership paired with several smaller drones, and a starfish-inspired gripper. The feather star, which will be coated in adhesive, increases the probability of collecting floating trash. The mothership paired with drones is also a viable option due to its ability to cover larger areas through passive motion and pick up a variety of garbage. Each drone will have a unique gripper, making it an efficient solution to the problem at hand. The starfish-inspired gripper is cable-actuated and curves inwards to grip any larger pieces of floating debris, which helps when specific pieces of trash need to be targeted to be picked up.
47
Poster/Oral Presentation2
GC 302 / 2nd Floor
DowningSiddarthKamathSoft Robotic Gripper for Ocean Trash CleanupWith microplastics and millions of tons of ocean trash entering the ocean each year, marine life has experienced significant repercussions. Plastics and trash that find their way into the oceans kill thousands of animals every year from entanglement and create ocean “dead zones” in which animals cannot survive. Significant progress has to be made to clean the oceans of floating debris to prevent marine life from dying. However, traditional equipment such as nets cannot efficiently collect small pieces of plastic; the use of soft robotics can mitigate this problem. Soft robots can be deployed into the ocean to pick up underwater debris that is out of the range of nets. The proposed mechanisms are a cable-driven gripper modeled on a feather star, a mothership paired with several smaller drones, and a starfish-inspired gripper. The feather star, which will be coated in adhesive, increases the probability of collecting floating trash. The mothership paired with drones is also a viable option due to its ability to cover larger areas through passive motion and pick up a variety of garbage. Each drone will have a unique gripper, making it an efficient solution to the problem at hand. The starfish-inspired gripper is cable-actuated and curves inwards to grip any larger pieces of floating debris, which helps when specific pieces of trash need to be targeted to be picked up.
48
Poster/Oral Presentation2
GC 302 / 2nd Floor
DowningNipunVangalaSoft Robotic Gripper for Ocean Trash CleanupWith microplastics and millions of tons of ocean trash entering the ocean each year, marine life has experienced significant repercussions. Plastics and trash that find their way into the oceans kill thousands of animals every year from entanglement and create ocean “dead zones” in which animals cannot survive. Significant progress has to be made to clean the oceans of floating debris to prevent marine life from dying. However, traditional equipment such as nets cannot efficiently collect small pieces of plastic; the use of soft robotics can mitigate this problem. Soft robots can be deployed into the ocean to pick up underwater debris that is out of the range of nets. The proposed mechanisms are a cable-driven gripper modeled on a feather star, a mothership paired with several smaller drones, and a starfish-inspired gripper. The feather star, which will be coated in adhesive, increases the probability of collecting floating trash. The mothership paired with drones is also a viable option due to its ability to cover larger areas through passive motion and pick up a variety of garbage. Each drone will have a unique gripper, making it an efficient solution to the problem at hand. The starfish-inspired gripper is cable-actuated and curves inwards to grip any larger pieces of floating debris, which helps when specific pieces of trash need to be targeted to be picked up.
49
Poster/Oral Presentation2
GC 302 / 2nd Floor
DowningMaggieShenSoft Robotic Gripper for Ocean Trash CleanupWith microplastics and millions of tons of ocean trash entering the ocean each year, marine life has experienced significant repercussions. Plastics and trash that find their way into the oceans kill thousands of animals every year from entanglement and create ocean “dead zones” in which animals cannot survive. Significant progress has to be made to clean the oceans of floating debris to prevent marine life from dying. However, traditional equipment such as nets cannot efficiently collect small pieces of plastic; the use of soft robotics can mitigate this problem. Soft robots can be deployed into the ocean to pick up underwater debris that is out of the range of nets. The proposed mechanisms are a cable-driven gripper modeled on a feather star, a mothership paired with several smaller drones, and a starfish-inspired gripper. The feather star, which will be coated in adhesive, increases the probability of collecting floating trash. The mothership paired with drones is also a viable option due to its ability to cover larger areas through passive motion and pick up a variety of garbage. Each drone will have a unique gripper, making it an efficient solution to the problem at hand. The starfish-inspired gripper is cable-actuated and curves inwards to grip any larger pieces of floating debris, which helps when specific pieces of trash need to be targeted to be picked up.
50
Poster/Oral Presentation2
GC 302 / 2nd Floor
DowningNikhilGummadidalaSoft Robotic Gripper for Ocean Trash CleanupWith microplastics and millions of tons of ocean trash entering the ocean each year, marine life has experienced significant repercussions. Plastics and trash that find their way into the oceans kill thousands of animals every year from entanglement and create ocean “dead zones” in which animals cannot survive. Significant progress has to be made to clean the oceans of floating debris to prevent marine life from dying. However, traditional equipment such as nets cannot efficiently collect small pieces of plastic; the use of soft robotics can mitigate this problem. Soft robots can be deployed into the ocean to pick up underwater debris that is out of the range of nets. The proposed mechanisms are a cable-driven gripper modeled on a feather star, a mothership paired with several smaller drones, and a starfish-inspired gripper. The feather star, which will be coated in adhesive, increases the probability of collecting floating trash. The mothership paired with drones is also a viable option due to its ability to cover larger areas through passive motion and pick up a variety of garbage. Each drone will have a unique gripper, making it an efficient solution to the problem at hand. The starfish-inspired gripper is cable-actuated and curves inwards to grip any larger pieces of floating debris, which helps when specific pieces of trash need to be targeted to be picked up.
51
Poster/Oral Presentation2
GC 302 / 2nd Floor
DowningHanuThakurSoft Robotic Gripper for Ocean Trash CleanupWith microplastics and millions of tons of ocean trash entering the ocean each year, marine life has experienced significant repercussions. Plastics and trash that find their way into the oceans kill thousands of animals every year from entanglement and create ocean “dead zones” in which animals cannot survive. Significant progress has to be made to clean the oceans of floating debris to prevent marine life from dying. However, traditional equipment such as nets cannot efficiently collect small pieces of plastic; the use of soft robotics can mitigate this problem. Soft robots can be deployed into the ocean to pick up underwater debris that is out of the range of nets. The proposed mechanisms are a cable-driven gripper modeled on a feather star, a mothership paired with several smaller drones, and a starfish-inspired gripper. The feather star, which will be coated in adhesive, increases the probability of collecting floating trash. The mothership paired with drones is also a viable option due to its ability to cover larger areas through passive motion and pick up a variety of garbage. Each drone will have a unique gripper, making it an efficient solution to the problem at hand. The starfish-inspired gripper is cable-actuated and curves inwards to grip any larger pieces of floating debris, which helps when specific pieces of trash need to be targeted to be picked up.
52
Poster/Oral Presentation2
GC 302 / 2nd Floor
DowningNirvanMonangiSoft Robotic Gripper for Ocean Trash CleanupWith microplastics and millions of tons of ocean trash entering the ocean each year, marine life has experienced significant repercussions. Plastics and trash that find their way into the oceans kill thousands of animals every year from entanglement and create ocean “dead zones” in which animals cannot survive. Significant progress has to be made to clean the oceans of floating debris to prevent marine life from dying. However, traditional equipment such as nets cannot efficiently collect small pieces of plastic; the use of soft robotics can mitigate this problem. Soft robots can be deployed into the ocean to pick up underwater debris that is out of the range of nets. The proposed mechanisms are a cable-driven gripper modeled on a feather star, a mothership paired with several smaller drones, and a starfish-inspired gripper. The feather star, which will be coated in adhesive, increases the probability of collecting floating trash. The mothership paired with drones is also a viable option due to its ability to cover larger areas through passive motion and pick up a variety of garbage. Each drone will have a unique gripper, making it an efficient solution to the problem at hand. The starfish-inspired gripper is cable-actuated and curves inwards to grip any larger pieces of floating debris, which helps when specific pieces of trash need to be targeted to be picked up.
53
Poster/Oral Presentation18
GC 305 / 2nd Floor
DowningTanushBhardwajDiscovering mini black holes through observations of their stellar companion in binary systemsIn April 2021, Jayasinghe et al. reported the discovery of a mass-gap black hole binary companion to the red giant V723 Mon. Building upon their astronomical models, we developed an adaptable program to uncover potential star and mass-gap black hole binary systems in large-scale datasets. Using data from ESA’s Gaia DR2 and NASA’s exoplanet archive, we employed computational analysis methods to review distortions in the stellar companion’s envelope and shifts in its radial velocity by considering the star’s increasing error in radius measurements and deviations in mean radial velocity, respectively. This resulted in the discovery of 19 potential black hole candidates at a distance of 19.5-1,100 parsecs from Earth. To create a radial velocity time series for each celestial object, we imported datasets from Carmenes, HARPS-N, among other sources. Using R’s libraries (astrochron, ggplot, and dplyr), we were able to graphically represent each star’s radial velocity time series, extracting orbital period. Referencing a mass function from Jayasinghe et al., we then approximated the mass of the potential candidates, providing strong indications that these stars exist in a binary system with a mass-gap black hole of ~3-10☉.
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Poster/Oral Presentation18
GC 305 / 2nd Floor
DowningRileyGuDiscovering mini black holes through observations of their stellar companion in binary systemsIn April 2021, Jayasinghe et al. reported the discovery of a mass-gap black hole binary companion to the red giant V723 Mon. Building upon their astronomical models, we developed an adaptable program to uncover potential star and mass-gap black hole binary systems in large-scale datasets. Using data from ESA’s Gaia DR2 and NASA’s exoplanet archive, we employed computational analysis methods to review distortions in the stellar companion’s envelope and shifts in its radial velocity by considering the star’s increasing error in radius measurements and deviations in mean radial velocity, respectively. This resulted in the discovery of 19 potential black hole candidates at a distance of 19.5-1,100 parsecs from Earth. To create a radial velocity time series for each celestial object, we imported datasets from Carmenes, HARPS-N, among other sources. Using R’s libraries (astrochron, ggplot, and dplyr), we were able to graphically represent each star’s radial velocity time series, extracting orbital period. Referencing a mass function from Jayasinghe et al., we then approximated the mass of the potential candidates, providing strong indications that these stars exist in a binary system with a mass-gap black hole of ~3-10☉.
55
Poster/Oral Presentation18
GC 305 / 2nd Floor
DowningAadhyaPaiDiscovering mini black holes through observations of their stellar companion in binary systemsIn April 2021, Jayasinghe et al. reported the discovery of a mass-gap black hole binary companion to the red giant V723 Mon. Building upon their astronomical models, we developed an adaptable program to uncover potential star and mass-gap black hole binary systems in large-scale datasets. Using data from ESA’s Gaia DR2 and NASA’s exoplanet archive, we employed computational analysis methods to review distortions in the stellar companion’s envelope and shifts in its radial velocity by considering the star’s increasing error in radius measurements and deviations in mean radial velocity, respectively. This resulted in the discovery of 19 potential black hole candidates at a distance of 19.5-1,100 parsecs from Earth. To create a radial velocity time series for each celestial object, we imported datasets from Carmenes, HARPS-N, among other sources. Using R’s libraries (astrochron, ggplot, and dplyr), we were able to graphically represent each star’s radial velocity time series, extracting orbital period. Referencing a mass function from Jayasinghe et al., we then approximated the mass of the potential candidates, providing strong indications that these stars exist in a binary system with a mass-gap black hole of ~3-10☉.
56
Poster/Oral Presentation18
GC 305 / 2nd Floor
DowningAvneetSachdevaDiscovering mini black holes through observations of their stellar companion in binary systemsIn April 2021, Jayasinghe et al. reported the discovery of a mass-gap black hole binary companion to the red giant V723 Mon. Building upon their astronomical models, we developed an adaptable program to uncover potential star and mass-gap black hole binary systems in large-scale datasets. Using data from ESA’s Gaia DR2 and NASA’s exoplanet archive, we employed computational analysis methods to review distortions in the stellar companion’s envelope and shifts in its radial velocity by considering the star’s increasing error in radius measurements and deviations in mean radial velocity, respectively. This resulted in the discovery of 19 potential black hole candidates at a distance of 19.5-1,100 parsecs from Earth. To create a radial velocity time series for each celestial object, we imported datasets from Carmenes, HARPS-N, among other sources. Using R’s libraries (astrochron, ggplot, and dplyr), we were able to graphically represent each star’s radial velocity time series, extracting orbital period. Referencing a mass function from Jayasinghe et al., we then approximated the mass of the potential candidates, providing strong indications that these stars exist in a binary system with a mass-gap black hole of ~3-10☉.
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Poster/Oral Presentation18
GC 305 / 2nd Floor
DowningAneyaSobalkarDiscovering mini black holes through observations of their stellar companion in binary systemsIn April 2021, Jayasinghe et al. reported the discovery of a mass-gap black hole binary companion to the red giant V723 Mon. Building upon their astronomical models, we developed an adaptable program to uncover potential star and mass-gap black hole binary systems in large-scale datasets. Using data from ESA’s Gaia DR2 and NASA’s exoplanet archive, we employed computational analysis methods to review distortions in the stellar companion’s envelope and shifts in its radial velocity by considering the star’s increasing error in radius measurements and deviations in mean radial velocity, respectively. This resulted in the discovery of 19 potential black hole candidates at a distance of 19.5-1,100 parsecs from Earth. To create a radial velocity time series for each celestial object, we imported datasets from Carmenes, HARPS-N, among other sources. Using R’s libraries (astrochron, ggplot, and dplyr), we were able to graphically represent each star’s radial velocity time series, extracting orbital period. Referencing a mass function from Jayasinghe et al., we then approximated the mass of the potential candidates, providing strong indications that these stars exist in a binary system with a mass-gap black hole of ~3-10☉.
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Poster/Oral Presentation18
GC 305 / 2nd Floor
DowningEfeTandırlıDiscovering mini black holes through observations of their stellar companion in binary systemsIn April 2021, Jayasinghe et al. reported the discovery of a mass-gap black hole binary companion to the red giant V723 Mon. Building upon their astronomical models, we developed an adaptable program to uncover potential star and mass-gap black hole binary systems in large-scale datasets. Using data from ESA’s Gaia DR2 and NASA’s exoplanet archive, we employed computational analysis methods to review distortions in the stellar companion’s envelope and shifts in its radial velocity by considering the star’s increasing error in radius measurements and deviations in mean radial velocity, respectively. This resulted in the discovery of 19 potential black hole candidates at a distance of 19.5-1,100 parsecs from Earth. To create a radial velocity time series for each celestial object, we imported datasets from Carmenes, HARPS-N, among other sources. Using R’s libraries (astrochron, ggplot, and dplyr), we were able to graphically represent each star’s radial velocity time series, extracting orbital period. Referencing a mass function from Jayasinghe et al., we then approximated the mass of the potential candidates, providing strong indications that these stars exist in a binary system with a mass-gap black hole of ~3-10☉.
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Poster/Oral Presentation18
GC 305 / 2nd Floor
DowningAjlaTrumicDiscovering mini black holes through observations of their stellar companion in binary systemsIn April 2021, Jayasinghe et al. reported the discovery of a mass-gap black hole binary companion to the red giant V723 Mon. Building upon their astronomical models, we developed an adaptable program to uncover potential star and mass-gap black hole binary systems in large-scale datasets. Using data from ESA’s Gaia DR2 and NASA’s exoplanet archive, we employed computational analysis methods to review distortions in the stellar companion’s envelope and shifts in its radial velocity by considering the star’s increasing error in radius measurements and deviations in mean radial velocity, respectively. This resulted in the discovery of 19 potential black hole candidates at a distance of 19.5-1,100 parsecs from Earth. To create a radial velocity time series for each celestial object, we imported datasets from Carmenes, HARPS-N, among other sources. Using R’s libraries (astrochron, ggplot, and dplyr), we were able to graphically represent each star’s radial velocity time series, extracting orbital period. Referencing a mass function from Jayasinghe et al., we then approximated the mass of the potential candidates, providing strong indications that these stars exist in a binary system with a mass-gap black hole of ~3-10☉.
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Poster/Oral Presentation18
GC 305 / 2nd Floor
DowningBrianWangDiscovering mini black holes through observations of their stellar companion in binary systemsIn April 2021, Jayasinghe et al. reported the discovery of a mass-gap black hole binary companion to the red giant V723 Mon. Building upon their astronomical models, we developed an adaptable program to uncover potential star and mass-gap black hole binary systems in large-scale datasets. Using data from ESA’s Gaia DR2 and NASA’s exoplanet archive, we employed computational analysis methods to review distortions in the stellar companion’s envelope and shifts in its radial velocity by considering the star’s increasing error in radius measurements and deviations in mean radial velocity, respectively. This resulted in the discovery of 19 potential black hole candidates at a distance of 19.5-1,100 parsecs from Earth. To create a radial velocity time series for each celestial object, we imported datasets from Carmenes, HARPS-N, among other sources. Using R’s libraries (astrochron, ggplot, and dplyr), we were able to graphically represent each star’s radial velocity time series, extracting orbital period. Referencing a mass function from Jayasinghe et al., we then approximated the mass of the potential candidates, providing strong indications that these stars exist in a binary system with a mass-gap black hole of ~3-10☉.
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Poster/Oral Presentation18
GC 305 / 2nd Floor
DowningNishkaYadavDiscovering mini black holes through observations of their stellar companion in binary systemsIn April 2021, Jayasinghe et al. reported the discovery of a mass-gap black hole binary companion to the red giant V723 Mon. Building upon their astronomical models, we developed an adaptable program to uncover potential star and mass-gap black hole binary systems in large-scale datasets. Using data from ESA’s Gaia DR2 and NASA’s exoplanet archive, we employed computational analysis methods to review distortions in the stellar companion’s envelope and shifts in its radial velocity by considering the star’s increasing error in radius measurements and deviations in mean radial velocity, respectively. This resulted in the discovery of 19 potential black hole candidates at a distance of 19.5-1,100 parsecs from Earth. To create a radial velocity time series for each celestial object, we imported datasets from Carmenes, HARPS-N, among other sources. Using R’s libraries (astrochron, ggplot, and dplyr), we were able to graphically represent each star’s radial velocity time series, extracting orbital period. Referencing a mass function from Jayasinghe et al., we then approximated the mass of the potential candidates, providing strong indications that these stars exist in a binary system with a mass-gap black hole of ~3-10☉.
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Poster/Oral Presentation18
GC 305 / 2nd Floor
DowningSamskrithRaghavDiscovering mini black holes through observations of their stellar companion in binary systemsIn April 2021, Jayasinghe et al. reported the discovery of a mass-gap black hole binary companion to the red giant V723 Mon. Building upon their astronomical models, we developed an adaptable program to uncover potential star and mass-gap black hole binary systems in large-scale datasets. Using data from ESA’s Gaia DR2 and NASA’s exoplanet archive, we employed computational analysis methods to review distortions in the stellar companion’s envelope and shifts in its radial velocity by considering the star’s increasing error in radius measurements and deviations in mean radial velocity, respectively. This resulted in the discovery of 19 potential black hole candidates at a distance of 19.5-1,100 parsecs from Earth. To create a radial velocity time series for each celestial object, we imported datasets from Carmenes, HARPS-N, among other sources. Using R’s libraries (astrochron, ggplot, and dplyr), we were able to graphically represent each star’s radial velocity time series, extracting orbital period. Referencing a mass function from Jayasinghe et al., we then approximated the mass of the potential candidates, providing strong indications that these stars exist in a binary system with a mass-gap black hole of ~3-10☉.
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Poster32nd FloorDowning/NjooTejal MalpeddiA Comparative Analysis of Recent Progress in Blind Docking Softwares for Protein-Ligand InteractionsIn this study, we consider the advantage of blind docking as an unbiased way to identify and predict protein structures, binding sites, and their receptors to conduct a comparison of these softwares. With a thorough comparison of various blind-docking software, we aim to identify the most efficient and accurate methodology for blind-docking. We determined the scope of the analysis and comparison as including accuracy, predictive capability, algorithmic methodologies used, and the diversity of the data. Regarding the examination of these factors in an assortment of blind-docking software, each application generates information about the docking of the ligand. Thus, we analyze variables with strong correlation to the protein structures, such as the scoring function with the affinity of the ligand to the binding pocket and the estimated fitness (kcal/mol). The intention of our study is to provide a comprehensive analysis and comparison of blind-docking software for use in research pertaining to drug discovery and protein structure identification.
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Poster32nd FloorDowning/NjooJustin HuangA Comparative Analysis of Recent Progress in Blind Docking Softwares for Protein-Ligand InteractionsIn this study, we consider the advantage of blind docking as an unbiased way to identify and predict protein structures, binding sites, and their receptors to conduct a comparison of these softwares. With a thorough comparison of various blind-docking software, we aim to identify the most efficient and accurate methodology for blind-docking. We determined the scope of the analysis and comparison as including accuracy, predictive capability, algorithmic methodologies used, and the diversity of the data. Regarding the examination of these factors in an assortment of blind-docking software, each application generates information about the docking of the ligand. Thus, we analyze variables with strong correlation to the protein structures, such as the scoring function with the affinity of the ligand to the binding pocket and the estimated fitness (kcal/mol). The intention of our study is to provide a comprehensive analysis and comparison of blind-docking software for use in research pertaining to drug discovery and protein structure identification.
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Poster32nd FloorDowning/NjooEliane Juang A Comparative Analysis of Recent Progress in Blind Docking Softwares for Protein-Ligand InteractionsIn this study, we consider the advantage of blind docking as an unbiased way to identify and predict protein structures, binding sites, and their receptors to conduct a comparison of these softwares. With a thorough comparison of various blind-docking software, we aim to identify the most efficient and accurate methodology for blind-docking. We determined the scope of the analysis and comparison as including accuracy, predictive capability, algorithmic methodologies used, and the diversity of the data. Regarding the examination of these factors in an assortment of blind-docking software, each application generates information about the docking of the ligand. Thus, we analyze variables with strong correlation to the protein structures, such as the scoring function with the affinity of the ligand to the binding pocket and the estimated fitness (kcal/mol). The intention of our study is to provide a comprehensive analysis and comparison of blind-docking software for use in research pertaining to drug discovery and protein structure identification.
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Poster32nd FloorDowning/NjooEmma Wang A Comparative Analysis of Recent Progress in Blind Docking Softwares for Protein-Ligand InteractionsIn this study, we consider the advantage of blind docking as an unbiased way to identify and predict protein structures, binding sites, and their receptors to conduct a comparison of these softwares. With a thorough comparison of various blind-docking software, we aim to identify the most efficient and accurate methodology for blind-docking. We determined the scope of the analysis and comparison as including accuracy, predictive capability, algorithmic methodologies used, and the diversity of the data. Regarding the examination of these factors in an assortment of blind-docking software, each application generates information about the docking of the ligand. Thus, we analyze variables with strong correlation to the protein structures, such as the scoring function with the affinity of the ligand to the binding pocket and the estimated fitness (kcal/mol). The intention of our study is to provide a comprehensive analysis and comparison of blind-docking software for use in research pertaining to drug discovery and protein structure identification.
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Poster32nd FloorDowning/NjooSophia Li A Comparative Analysis of Recent Progress in Blind Docking Softwares for Protein-Ligand InteractionsIn this study, we consider the advantage of blind docking as an unbiased way to identify and predict protein structures, binding sites, and their receptors to conduct a comparison of these softwares. With a thorough comparison of various blind-docking software, we aim to identify the most efficient and accurate methodology for blind-docking. We determined the scope of the analysis and comparison as including accuracy, predictive capability, algorithmic methodologies used, and the diversity of the data. Regarding the examination of these factors in an assortment of blind-docking software, each application generates information about the docking of the ligand. Thus, we analyze variables with strong correlation to the protein structures, such as the scoring function with the affinity of the ligand to the binding pocket and the estimated fitness (kcal/mol). The intention of our study is to provide a comprehensive analysis and comparison of blind-docking software for use in research pertaining to drug discovery and protein structure identification.
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Poster32nd FloorDowning/NjooRionnTuscanoA Comparative Analysis of Recent Progress in Blind Docking Softwares for Protein-Ligand InteractionsIn this study, we consider the advantage of blind docking as an unbiased way to identify and predict protein structures, binding sites, and their receptors to conduct a comparison of these softwares. With a thorough comparison of various blind-docking software, we aim to identify the most efficient and accurate methodology for blind-docking. We determined the scope of the analysis and comparison as including accuracy, predictive capability, algorithmic methodologies used, and the diversity of the data. Regarding the examination of these factors in an assortment of blind-docking software, each application generates information about the docking of the ligand. Thus, we analyze variables with strong correlation to the protein structures, such as the scoring function with the affinity of the ligand to the binding pocket and the estimated fitness (kcal/mol). The intention of our study is to provide a comprehensive analysis and comparison of blind-docking software for use in research pertaining to drug discovery and protein structure identification.
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Poster32nd FloorDowning/NjooAristaa BhardwajA Comparative Analysis of Recent Progress in Blind Docking Softwares for Protein-Ligand InteractionsIn this study, we consider the advantage of blind docking as an unbiased way to identify and predict protein structures, binding sites, and their receptors to conduct a comparison of these softwares. With a thorough comparison of various blind-docking software, we aim to identify the most efficient and accurate methodology for blind-docking. We determined the scope of the analysis and comparison as including accuracy, predictive capability, algorithmic methodologies used, and the diversity of the data. Regarding the examination of these factors in an assortment of blind-docking software, each application generates information about the docking of the ligand. Thus, we analyze variables with strong correlation to the protein structures, such as the scoring function with the affinity of the ligand to the binding pocket and the estimated fitness (kcal/mol). The intention of our study is to provide a comprehensive analysis and comparison of blind-docking software for use in research pertaining to drug discovery and protein structure identification.
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Poster32nd FloorDowning/NjooPrashanth Prabhala A Comparative Analysis of Recent Progress in Blind Docking Softwares for Protein-Ligand InteractionsIn this study, we consider the advantage of blind docking as an unbiased way to identify and predict protein structures, binding sites, and their receptors to conduct a comparison of these softwares. With a thorough comparison of various blind-docking software, we aim to identify the most efficient and accurate methodology for blind-docking. We determined the scope of the analysis and comparison as including accuracy, predictive capability, algorithmic methodologies used, and the diversity of the data. Regarding the examination of these factors in an assortment of blind-docking software, each application generates information about the docking of the ligand. Thus, we analyze variables with strong correlation to the protein structures, such as the scoring function with the affinity of the ligand to the binding pocket and the estimated fitness (kcal/mol). The intention of our study is to provide a comprehensive analysis and comparison of blind-docking software for use in research pertaining to drug discovery and protein structure identification.
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Poster32nd FloorDowning/NjooYash Bhuva A Comparative Analysis of Recent Progress in Blind Docking Softwares for Protein-Ligand InteractionsIn this study, we consider the advantage of blind docking as an unbiased way to identify and predict protein structures, binding sites, and their receptors to conduct a comparison of these softwares. With a thorough comparison of various blind-docking software, we aim to identify the most efficient and accurate methodology for blind-docking. We determined the scope of the analysis and comparison as including accuracy, predictive capability, algorithmic methodologies used, and the diversity of the data. Regarding the examination of these factors in an assortment of blind-docking software, each application generates information about the docking of the ligand. Thus, we analyze variables with strong correlation to the protein structures, such as the scoring function with the affinity of the ligand to the binding pocket and the estimated fitness (kcal/mol). The intention of our study is to provide a comprehensive analysis and comparison of blind-docking software for use in research pertaining to drug discovery and protein structure identification.
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Oral PresentationGC 305JahanikiaElianaHornDissonance Tech: Analysis of Technology-Induced Cognitive DissonanceOur study explores the contrast between consumer beliefs and behaviors in reaction to different creative technological product designs. We developed a questionnaire that presented participants with paired statements reflecting opposing values. We used participants’ level of agreement with these statements to calculate dissonance scores.
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Oral PresentationGC 305JahanikiaMokshaRawlaniDissonance Tech: Analysis of Technology-Induced Cognitive DissonanceOur study explores the contrast between consumer beliefs and behaviors in reaction to different creative technological product designs. We developed a questionnaire that presented participants with paired statements reflecting opposing values. We used participants’ level of agreement with these statements to calculate dissonance scores.
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Oral PresentationGC 305JahanikiaAvignaShankarDissonance Tech: Analysis of Technology-Induced Cognitive DissonanceOur study explores the contrast between consumer beliefs and behaviors in reaction to different creative technological product designs. We developed a questionnaire that presented participants with paired statements reflecting opposing values. We used participants’ level of agreement with these statements to calculate dissonance scores.
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Oral PresentationGC 305JahanikiaAryaSuleDissonance Tech: Analysis of Technology-Induced Cognitive DissonanceOur study explores the contrast between consumer beliefs and behaviors in reaction to different creative technological product designs. We developed a questionnaire that presented participants with paired statements reflecting opposing values. We used participants’ level of agreement with these statements to calculate dissonance scores.
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Oral PresentationGC 305JahanikiaAliceZhangDissonance Tech: Analysis of Technology-Induced Cognitive DissonanceOur study explores the contrast between consumer beliefs and behaviors in reaction to different creative technological product designs. We developed a questionnaire that presented participants with paired statements reflecting opposing values. We used participants’ level of agreement with these statements to calculate dissonance scores.
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Oral PresentationGC 305JahanikiaMaddyZhangDissonance Tech: Analysis of Technology-Induced Cognitive DissonanceOur study explores the contrast between consumer beliefs and behaviors in reaction to different creative technological product designs. We developed a questionnaire that presented participants with paired statements reflecting opposing values. We used participants’ level of agreement with these statements to calculate dissonance scores.
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Oral PresentationGC 304JahanikiaSanyaKondapalliCovidFatigue: Characterization and Severity Assessment of Covid-19 After-EffectsLong Covid has affected millions of people across America. COVID-19 patients that tested negative months ago still face physiological and neurological effects with unknown timeframes. By surveying people who tested positive for COVID-19, we are able to connect the data to demographic information to discover the longevity of COVID-19 effects. Every participant is between 18-55 years, fluent in English, and has not suffered from a serious medical condition prior or during the COVID-19 infection time. Through observation of demographic data, the majority (~97%) of participants tested positive for COVID-19 after receiving vaccination. Since the vaccination rate was high, the severity of the symptoms was inversely low. We aim to expand our scope of participants to include a larger demographic group.
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Oral PresentationGC 304JahanikiaRohanMelwaniCovidFatigue: Characterization and Severity Assessment of Covid-19 After-EffectsLong Covid has affected millions of people across America. COVID-19 patients that tested negative months ago still face physiological and neurological effects with unknown timeframes. By surveying people who tested positive for COVID-19, we are able to connect the data to demographic information to discover the longevity of COVID-19 effects. Every participant is between 18-55 years, fluent in English, and has not suffered from a serious medical condition prior or during the COVID-19 infection time. Through observation of demographic data, the majority (~97%) of participants tested positive for COVID-19 after receiving vaccination. Since the vaccination rate was high, the severity of the symptoms was inversely low. We aim to expand our scope of participants to include a larger demographic group.
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Oral PresentationGC 304JahanikiaAmeyaRaviCovidFatigue: Characterization and Severity Assessment of Covid-19 After-EffectsLong Covid has affected millions of people across America. COVID-19 patients that tested negative months ago still face physiological and neurological effects with unknown timeframes. By surveying people who tested positive for COVID-19, we are able to connect the data to demographic information to discover the longevity of COVID-19 effects. Every participant is between 18-55 years, fluent in English, and has not suffered from a serious medical condition prior or during the COVID-19 infection time. Through observation of demographic data, the majority (~97%) of participants tested positive for COVID-19 after receiving vaccination. Since the vaccination rate was high, the severity of the symptoms was inversely low. We aim to expand our scope of participants to include a larger demographic group.
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Oral PresentationGC 304JahanikiaPragyaaBodapatiCovidVacMap: A Global Network Analysis of COVID-19 Vaccine Distribution to Predict Breakthrough CasesThe ongoing COVID-19 pandemic, also known as the coronavirus pandemic, is a global pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Multiple vaccines have been developed, underwent clinical trials, and are being distributed along with many boosters and doses. While these vaccines are currently being distributed the virus still spreads as we have not reached herd immunity. As the virus spreads new variants enter.
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Oral PresentationGC 304JahanikiaEddieZhangCovidVacMap: A Global Network Analysis of COVID-19 Vaccine Distribution to Predict Breakthrough CasesThe ongoing COVID-19 pandemic, also known as the coronavirus pandemic, is a global pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Multiple vaccines have been developed, underwent clinical trials, and are being distributed along with many boosters and doses. While these vaccines are currently being distributed the virus still spreads as we have not reached herd immunity. As the virus spreads new variants enter.
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Oral PresentationGC 304JahanikiaShreyaAbhijitDietary patterns during COVID-19: Analyzing changes in consumption habits in adults before, during, and after COVID-19 lockdown"The COVID-19 pandemic and the resulting quarantine have caused drastic changes in an individual’s lifestyle. Dietary lifestyle, relating to an individual’s relationship with both food and exercise, is a major part of this change. We hypothesize that the pandemic caused participants to change their consumption patterns drastically, and that these changes have remained in place even after the lockdown period ended. Our questionnaire, which borrows ideas from four standardized eating assessments (SCOFF, EAT-26, CET, and EDE-Q) will aim to test this in adult participants. After completing data collection, we will conduct data analysis using R and various statistical softwares. The results of this study will provide a better understanding of one of the several changes that the pandemic has brought upon us."
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Oral PresentationGC 304JahanikiaAryaChatterjeeDietary patterns during COVID-19: Analyzing changes in consumption habits in adults before, during, and after COVID-19 lockdown"The COVID-19 pandemic and the resulting quarantine have caused drastic changes in an individual’s lifestyle. Dietary lifestyle, relating to an individual’s relationship with both food and exercise, is a major part of this change. We hypothesize that the pandemic caused participants to change their consumption patterns drastically, and that these changes have remained in place even after the lockdown period ended. Our questionnaire, which borrows ideas from four standardized eating assessments (SCOFF, EAT-26, CET, and EDE-Q) will aim to test this in adult participants. After completing data collection, we will conduct data analysis using R and various statistical softwares. The results of this study will provide a better understanding of one of the several changes that the pandemic has brought upon us."
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Oral PresentationGC 304JahanikiaNeelChatterjeeDietary patterns during COVID-19: Analyzing changes in consumption habits in adults before, during, and after COVID-19 lockdown"The COVID-19 pandemic and the resulting quarantine have caused drastic changes in an individual’s lifestyle. Dietary lifestyle, relating to an individual’s relationship with both food and exercise, is a major part of this change. We hypothesize that the pandemic caused participants to change their consumption patterns drastically, and that these changes have remained in place even after the lockdown period ended. Our questionnaire, which borrows ideas from four standardized eating assessments (SCOFF, EAT-26, CET, and EDE-Q) will aim to test this in adult participants. After completing data collection, we will conduct data analysis using R and various statistical softwares. The results of this study will provide a better understanding of one of the several changes that the pandemic has brought upon us."
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Oral PresentationGC 304JahanikiaSnehaGadekarlaDietary patterns during COVID-19: Analyzing changes in consumption habits in adults before, during, and after COVID-19 lockdown"The COVID-19 pandemic and the resulting quarantine have caused drastic changes in an individual’s lifestyle. Dietary lifestyle, relating to an individual’s relationship with both food and exercise, is a major part of this change. We hypothesize that the pandemic caused participants to change their consumption patterns drastically, and that these changes have remained in place even after the lockdown period ended. Our questionnaire, which borrows ideas from four standardized eating assessments (SCOFF, EAT-26, CET, and EDE-Q) will aim to test this in adult participants. After completing data collection, we will conduct data analysis using R and various statistical softwares. The results of this study will provide a better understanding of one of the several changes that the pandemic has brought upon us."
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Oral PresentationGC 304JahanikiaAditriGuptaDietary patterns during COVID-19: Analyzing changes in consumption habits in adults before, during, and after COVID-19 lockdown"The COVID-19 pandemic and the resulting quarantine have caused drastic changes in an individual’s lifestyle. Dietary lifestyle, relating to an individual’s relationship with both food and exercise, is a major part of this change. We hypothesize that the pandemic caused participants to change their consumption patterns drastically, and that these changes have remained in place even after the lockdown period ended. Our questionnaire, which borrows ideas from four standardized eating assessments (SCOFF, EAT-26, CET, and EDE-Q) will aim to test this in adult participants. After completing data collection, we will conduct data analysis using R and various statistical softwares. The results of this study will provide a better understanding of one of the several changes that the pandemic has brought upon us."
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Oral PresentationGC 304JahanikiaAnushkaKirpekarDietary patterns during COVID-19: Analyzing changes in consumption habits in adults before, during, and after COVID-19 lockdown"The COVID-19 pandemic and the resulting quarantine have caused drastic changes in an individual’s lifestyle. Dietary lifestyle, relating to an individual’s relationship with both food and exercise, is a major part of this change. We hypothesize that the pandemic caused participants to change their consumption patterns drastically, and that these changes have remained in place even after the lockdown period ended. Our questionnaire, which borrows ideas from four standardized eating assessments (SCOFF, EAT-26, CET, and EDE-Q) will aim to test this in adult participants. After completing data collection, we will conduct data analysis using R and various statistical softwares. The results of this study will provide a better understanding of one of the several changes that the pandemic has brought upon us."
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Oral PresentationGC 304JahanikiaLakshmiNarasimhanDietary patterns during COVID-19: Analyzing changes in consumption habits in adults before, during, and after COVID-19 lockdown"The COVID-19 pandemic and the resulting quarantine have caused drastic changes in an individual’s lifestyle. Dietary lifestyle, relating to an individual’s relationship with both food and exercise, is a major part of this change. We hypothesize that the pandemic caused participants to change their consumption patterns drastically, and that these changes have remained in place even after the lockdown period ended. Our questionnaire, which borrows ideas from four standardized eating assessments (SCOFF, EAT-26, CET, and EDE-Q) will aim to test this in adult participants. After completing data collection, we will conduct data analysis using R and various statistical softwares. The results of this study will provide a better understanding of one of the several changes that the pandemic has brought upon us."
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Oral PresentationGC 304JahanikiaAanyaPatelDietary patterns during COVID-19: Analyzing changes in consumption habits in adults before, during, and after COVID-19 lockdown"The COVID-19 pandemic and the resulting quarantine have caused drastic changes in an individual’s lifestyle. Dietary lifestyle, relating to an individual’s relationship with both food and exercise, is a major part of this change. We hypothesize that the pandemic caused participants to change their consumption patterns drastically, and that these changes have remained in place even after the lockdown period ended. Our questionnaire, which borrows ideas from four standardized eating assessments (SCOFF, EAT-26, CET, and EDE-Q) will aim to test this in adult participants. After completing data collection, we will conduct data analysis using R and various statistical softwares. The results of this study will provide a better understanding of one of the several changes that the pandemic has brought upon us."
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Oral PresentationGC 304JahanikiaAnushreeSamsiDietary patterns during COVID-19: Analyzing changes in consumption habits in adults before, during, and after COVID-19 lockdown"The COVID-19 pandemic and the resulting quarantine have caused drastic changes in an individual’s lifestyle. Dietary lifestyle, relating to an individual’s relationship with both food and exercise, is a major part of this change. We hypothesize that the pandemic caused participants to change their consumption patterns drastically, and that these changes have remained in place even after the lockdown period ended. Our questionnaire, which borrows ideas from four standardized eating assessments (SCOFF, EAT-26, CET, and EDE-Q) will aim to test this in adult participants. After completing data collection, we will conduct data analysis using R and various statistical softwares. The results of this study will provide a better understanding of one of the several changes that the pandemic has brought upon us."
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Oral PresentationGC 304JahanikiaSuhaniSinghDietary patterns during COVID-19: Analyzing changes in consumption habits in adults before, during, and after COVID-19 lockdown"The COVID-19 pandemic and the resulting quarantine have caused drastic changes in an individual’s lifestyle. Dietary lifestyle, relating to an individual’s relationship with both food and exercise, is a major part of this change. We hypothesize that the pandemic caused participants to change their consumption patterns drastically, and that these changes have remained in place even after the lockdown period ended. Our questionnaire, which borrows ideas from four standardized eating assessments (SCOFF, EAT-26, CET, and EDE-Q) will aim to test this in adult participants. After completing data collection, we will conduct data analysis using R and various statistical softwares. The results of this study will provide a better understanding of one of the several changes that the pandemic has brought upon us."
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Oral PresentationGC 304JahanikiaAviTanejaDietary patterns during COVID-19: Analyzing changes in consumption habits in adults before, during, and after COVID-19 lockdown"The COVID-19 pandemic and the resulting quarantine have caused drastic changes in an individual’s lifestyle. Dietary lifestyle, relating to an individual’s relationship with both food and exercise, is a major part of this change. We hypothesize that the pandemic caused participants to change their consumption patterns drastically, and that these changes have remained in place even after the lockdown period ended. Our questionnaire, which borrows ideas from four standardized eating assessments (SCOFF, EAT-26, CET, and EDE-Q) will aim to test this in adult participants. After completing data collection, we will conduct data analysis using R and various statistical softwares. The results of this study will provide a better understanding of one of the several changes that the pandemic has brought upon us."
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Oral PresentationGC 304JahanikiaShraeyaVenkatDietary patterns during COVID-19: Analyzing changes in consumption habits in adults before, during, and after COVID-19 lockdown"The COVID-19 pandemic and the resulting quarantine have caused drastic changes in an individual’s lifestyle. Dietary lifestyle, relating to an individual’s relationship with both food and exercise, is a major part of this change. We hypothesize that the pandemic caused participants to change their consumption patterns drastically, and that these changes have remained in place even after the lockdown period ended. Our questionnaire, which borrows ideas from four standardized eating assessments (SCOFF, EAT-26, CET, and EDE-Q) will aim to test this in adult participants. After completing data collection, we will conduct data analysis using R and various statistical softwares. The results of this study will provide a better understanding of one of the several changes that the pandemic has brought upon us."
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Oral PresentationGC 306JahanikiaAidanGorEnhancing Cognition and Working Memory through a Multidimensional Dopaminergic N-Back Memory GameN-back tasks are a form of cognitive training that requires patients to recall information from a certain stimulus previously shown to them. Cognitive research patients often complain that these tasks are boring and mundane when involved in a study. In our study, we aim to use a Dual N-Back Working Memory (DNB-WM) task to enhance working memory. Through fMRI scanning, it has been proven that N-back tasks improve working memory, an executive function of the brain associated with the prefrontal cortex, frontoparietal network, and salience network. Moreover, it is hypothesized that if dopaminergic pathways, such as the Mesolimbic, Mesocortical, Nigrostriatal, and Tuberoinfundibular, are targeted, dopamine production will increase engagement and productivity during cognitive tests, therefore further increasing working memory.

Our study is designed to involve 32 participants; 16 for an experimental group and 16 for a control group. Patients will be given the list sorting test from the NIH toolbox cognition battery, which will act as a baseline for their working memory. Then, the experimental group will be given a multidimensional N-back game that reflects a ‘gamified’ task, while the control group will be given a task that reflects traditional 'mundane' tasks. Following a four-week training period, the list sorting test will be readministered to the participants to quantify the improvement in working memory. Additionally, a questionnaire will be administered to record and evaluate participant engagement levels during the training.

Based on the preliminary data analysis of three days of training, it was observed that the reaction times either remained constant or decreased, which suggests a moderate to high level of engagement among the participants. Additionally, the accuracy consistency throughout all genres indicated that the variability between genres was not a nuisance–furthermore, overall accuracy improved by the end of the training period.
Our preliminary data suggests a positive correlation between increasing engagement in N-back memory tasks and overall working memory capability. In conclusion, the implementation of multidimensionality to enhance engagement in our modern N-back task has resulted in improved working memory among adults. Therefore, it can be inferred that the use of multidimensionality is an effective strategy to boost engagement and enhance working memory.
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Oral PresentationGC 306JahanikiaSamuelLaoEnhancing Cognition and Working Memory through a Multidimensional Dopaminergic N-Back Memory GameN-back tasks are a form of cognitive training that requires patients to recall information from a certain stimulus previously shown to them. Cognitive research patients often complain that these tasks are boring and mundane when involved in a study. In our study, we aim to use a Dual N-Back Working Memory (DNB-WM) task to enhance working memory. Through fMRI scanning, it has been proven that N-back tasks improve working memory, an executive function of the brain associated with the prefrontal cortex, frontoparietal network, and salience network. Moreover, it is hypothesized that if dopaminergic pathways, such as the Mesolimbic, Mesocortical, Nigrostriatal, and Tuberoinfundibular, are targeted, dopamine production will increase engagement and productivity during cognitive tests, therefore further increasing working memory.

Our study is designed to involve 32 participants; 16 for an experimental group and 16 for a control group. Patients will be given the list sorting test from the NIH toolbox cognition battery, which will act as a baseline for their working memory. Then, the experimental group will be given a multidimensional N-back game that reflects a ‘gamified’ task, while the control group will be given a task that reflects traditional 'mundane' tasks. Following a four-week training period, the list sorting test will be readministered to the participants to quantify the improvement in working memory. Additionally, a questionnaire will be administered to record and evaluate participant engagement levels during the training.

Based on the preliminary data analysis of three days of training, it was observed that the reaction times either remained constant or decreased, which suggests a moderate to high level of engagement among the participants. Additionally, the accuracy consistency throughout all genres indicated that the variability between genres was not a nuisance–furthermore, overall accuracy improved by the end of the training period.
Our preliminary data suggests a positive correlation between increasing engagement in N-back memory tasks and overall working memory capability. In conclusion, the implementation of multidimensionality to enhance engagement in our modern N-back task has resulted in improved working memory among adults. Therefore, it can be inferred that the use of multidimensionality is an effective strategy to boost engagement and enhance working memory.
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Oral PresentationGC 306JahanikiaEthanParkEnhancing Cognition and Working Memory through a Multidimensional Dopaminergic N-Back Memory GameN-back tasks are a form of cognitive training that requires patients to recall information from a certain stimulus previously shown to them. Cognitive research patients often complain that these tasks are boring and mundane when involved in a study. In our study, we aim to use a Dual N-Back Working Memory (DNB-WM) task to enhance working memory. Through fMRI scanning, it has been proven that N-back tasks improve working memory, an executive function of the brain associated with the prefrontal cortex, frontoparietal network, and salience network. Moreover, it is hypothesized that if dopaminergic pathways, such as the Mesolimbic, Mesocortical, Nigrostriatal, and Tuberoinfundibular, are targeted, dopamine production will increase engagement and productivity during cognitive tests, therefore further increasing working memory.

Our study is designed to involve 32 participants; 16 for an experimental group and 16 for a control group. Patients will be given the list sorting test from the NIH toolbox cognition battery, which will act as a baseline for their working memory. Then, the experimental group will be given a multidimensional N-back game that reflects a ‘gamified’ task, while the control group will be given a task that reflects traditional 'mundane' tasks. Following a four-week training period, the list sorting test will be readministered to the participants to quantify the improvement in working memory. Additionally, a questionnaire will be administered to record and evaluate participant engagement levels during the training.

Based on the preliminary data analysis of three days of training, it was observed that the reaction times either remained constant or decreased, which suggests a moderate to high level of engagement among the participants. Additionally, the accuracy consistency throughout all genres indicated that the variability between genres was not a nuisance–furthermore, overall accuracy improved by the end of the training period.
Our preliminary data suggests a positive correlation between increasing engagement in N-back memory tasks and overall working memory capability. In conclusion, the implementation of multidimensionality to enhance engagement in our modern N-back task has resulted in improved working memory among adults. Therefore, it can be inferred that the use of multidimensionality is an effective strategy to boost engagement and enhance working memory.
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Oral PresentationGC 306JahanikiaNehaSharmaEnhancing Cognition and Working Memory through a Multidimensional Dopaminergic N-Back Memory GameN-back tasks are a form of cognitive training that requires patients to recall information from a certain stimulus previously shown to them. Cognitive research patients often complain that these tasks are boring and mundane when involved in a study. In our study, we aim to use a Dual N-Back Working Memory (DNB-WM) task to enhance working memory. Through fMRI scanning, it has been proven that N-back tasks improve working memory, an executive function of the brain associated with the prefrontal cortex, frontoparietal network, and salience network. Moreover, it is hypothesized that if dopaminergic pathways, such as the Mesolimbic, Mesocortical, Nigrostriatal, and Tuberoinfundibular, are targeted, dopamine production will increase engagement and productivity during cognitive tests, therefore further increasing working memory.

Our study is designed to involve 32 participants; 16 for an experimental group and 16 for a control group. Patients will be given the list sorting test from the NIH toolbox cognition battery, which will act as a baseline for their working memory. Then, the experimental group will be given a multidimensional N-back game that reflects a ‘gamified’ task, while the control group will be given a task that reflects traditional 'mundane' tasks. Following a four-week training period, the list sorting test will be readministered to the participants to quantify the improvement in working memory. Additionally, a questionnaire will be administered to record and evaluate participant engagement levels during the training.

Based on the preliminary data analysis of three days of training, it was observed that the reaction times either remained constant or decreased, which suggests a moderate to high level of engagement among the participants. Additionally, the accuracy consistency throughout all genres indicated that the variability between genres was not a nuisance–furthermore, overall accuracy improved by the end of the training period.
Our preliminary data suggests a positive correlation between increasing engagement in N-back memory tasks and overall working memory capability. In conclusion, the implementation of multidimensionality to enhance engagement in our modern N-back task has resulted in improved working memory among adults. Therefore, it can be inferred that the use of multidimensionality is an effective strategy to boost engagement and enhance working memory.
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Oral PresentationGC 308JahanikiaUrviAvadhaniInvestigating the Impact of Meditation on Neural Processes: Insights from EEG and Sleep AnalysisThe popularity in the research of the impact of meditation on brain activity has spiked over the past few years. Even so, analysis on the effects of mediation through electroencephalography (EEG) has been done for decades but its impacts are still uncertain. This is due to how various meditation practices affect brain activity differently, shown evident in our dataset. The dataset included data from four blocks of meditation: two thinking blocks, one breathing block, and one tradition specific meditation block. The first meditation set is a breath count meditation which may contain sleep data. The first thinking task will work as the control data to compare with the breathing task. After sorting through 50 subjects, and running it through our software titled EEGLab, the data had to be pre-processed to make accurate conclusions. With continuing data analysis through EEGLab, and identifying sleep pattern in our data using various filtering and computing methods, we hope to find the direct effects of meditation and how it may benefit cognition, perception, and emotional processing.
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Oral PresentationGC 308JahanikiaShohiniChakrabortyInvestigating the Impact of Meditation on Neural Processes: Insights from EEG and Sleep AnalysisThe popularity in the research of the impact of meditation on brain activity has spiked over the past few years. Even so, analysis on the effects of mediation through electroencephalography (EEG) has been done for decades but its impacts are still uncertain. This is due to how various meditation practices affect brain activity differently, shown evident in our dataset. The dataset included data from four blocks of meditation: two thinking blocks, one breathing block, and one tradition specific meditation block. The first meditation set is a breath count meditation which may contain sleep data. The first thinking task will work as the control data to compare with the breathing task. After sorting through 50 subjects, and running it through our software titled EEGLab, the data had to be pre-processed to make accurate conclusions. With continuing data analysis through EEGLab, and identifying sleep pattern in our data using various filtering and computing methods, we hope to find the direct effects of meditation and how it may benefit cognition, perception, and emotional processing.