Making Sense Of Making Parole In New York,
2024
CUNY Graduate Center
Making Sense Of Making Parole In New York, Alexandra Mcglinchy
Dissertations, Theses, and Capstone Projects
For many individuals incarcerated in New York, the initial step toward freedom begins with an interview with the Board of Parole. This process, however, is frequently a complex and challenging one, characterized by repeated denials and extended incarcerations. The disparity in outcomes – where one individual may receive over 20 denials and another is granted parole on their first attempt – highlights the ambiguity and inconsistency in the parole decision-making process. This project aims to clarify the factors that influence parole decisions by concentrating on measurable variables. These include age, race, duration of sentence served, proportion of sentence served, type …
Sparse Bayesian Variable Selection In High‐Dimensional Logistic Regression Models With Correlated Priors,
2024
The University of Texas Rio Grande Valley
Sparse Bayesian Variable Selection In High‐Dimensional Logistic Regression Models With Correlated Priors, Zhuanzhuan Ma, Zifei Han, Souparno Ghosh, Liucang Wu, Min Wang
School of Mathematical & Statistical Sciences Faculty Publications
In this paper, we propose a sparse Bayesian procedure with global and local(GL) shrinkage priors for the problems of variable selection and classification in high-dimensional logistic regression models. In particular, we consider two types of GL shrinkage priors for the regression coefficients, the horseshoe (HS)prior and the normal-gamma (NG) prior, and then specify a correlated prior for the binary vector to distinguish models with the same size. The GL priors are then combined with mixture representations of logistic distribution to construct a hierarchical Bayes model that allows efficient implementation of a Markov chain Monte Carlo (MCMC) to generate samples from …
Analyzing The Effects Of Data Variability & Volume On Predicting Particulate Matter (Pm2.5): Insights From A Machine Learning Approach,
2024
CUNY Hunter College
Analyzing The Effects Of Data Variability & Volume On Predicting Particulate Matter (Pm2.5): Insights From A Machine Learning Approach, Jada A. Macharie
Theses and Dissertations
Accurately predicting PM2.5 concentrations are imperative to the future of public health and environmental policies. Machine learning models incorporating spatial and temporal datasets to predict PM2.5 are often limited by data availability constraints and poor resolution satellite imagery.
Safety, Immunogenicity, And Mechanism Of A Rotavirus Mrna-Lnp Vaccine In Mice,
2024
The Texas Medical Center Library
Safety, Immunogenicity, And Mechanism Of A Rotavirus Mrna-Lnp Vaccine In Mice, Chenxing Lu, Yan Li, Rong Chen, Xiaoqing Hu, Qingmei Leng, Xiaopeng Song, Xiaochen Lin, Jun Ye, Jinlan Wang, Jinmei Li, Lida Yao, Xianqiong Tang, Xiangjun Kuang, Guangming Zhang, Maosheng Sun, Yan Zhou, Hongjun Li
Faculty, Staff and Student Publications
Rotaviruses (RVs) are a major cause of diarrhea in young children worldwide. The currently available and licensed vaccines contain live attenuated RVs. Optimization of live attenuated RV vaccines or developing non-replicating RV (e.g., mRNA) vaccines is crucial for reducing the morbidity and mortality from RV infections. Herein, a nucleoside-modified mRNA vaccine encapsulated in lipid nanoparticles (LNP) and encoding the VP7 protein from the G1 type of RV was developed. The 5' untranslated region of an isolated human RV was utilized for the mRNA vaccine. After undergoing quality inspection, the VP7-mRNA vaccine was injected by subcutaneous or intramuscular routes into mice. …
The Impact Of Accessible Data On Cyberstalking,
2024
Purdue University
The Impact Of Accessible Data On Cyberstalking, Elise Kwan
The Journal of Purdue Undergraduate Research
No abstract provided.
Model Selection Through Cross-Validation For Supervised Learning Tasks With Manifold Data,
2024
Purdue University Fort Wayne
Model Selection Through Cross-Validation For Supervised Learning Tasks With Manifold Data, Derek Brown
The Journal of Purdue Undergraduate Research
No abstract provided.
Machine Learning Of Big Data: A Gaussian Regression Model To Predict The Spatiotemporal Distribution Of Ground Ozone,
2024
Purdue University
Machine Learning Of Big Data: A Gaussian Regression Model To Predict The Spatiotemporal Distribution Of Ground Ozone, Jerry Gu
The Journal of Purdue Undergraduate Research
Tracking pollution levels on the ground is important to the environment and public health. One of the pollutants of concern is ozone, which, at high concentrations, can cause respiratory and cardiovascular problems. The National Center for Atmospheric Research (NCAR) has published valuable ozone data obtained from ground-based sensors installed at selected locations. Because it is unfeasible to measure the exact ozone levels everywhere at any time, it would be valuable to predict the temporal-spatial distributions of ozone concentration based on existing data. This would help us better understand the patterns and trends in the data and make better decisions to …
A Computational Profile Of Invasive Lionfish In Belize: A New Insight On A Destructive Species,
2024
Purdue University
A Computational Profile Of Invasive Lionfish In Belize: A New Insight On A Destructive Species, Joshua E. Balan
The Journal of Purdue Undergraduate Research
Since their discovery in the region in 2009, invasive Indonesian-native lionfish have been taking over the Belize Barrier Reef. As a result, populations of local species have dwindled as they are either eaten or outcompeted by the invaders. This has led to devastating losses ecologically and economically; massive industries in the local nations, such as fisheries and tourism, have suffered greatly. Attempting to combat this, local organizations, from nonprofits to ecotourism companies, have been manually spear-hunting them on scuba dives to cull the population. One such company, Reef Conservation Institute (ReefCI), operating out of Tom Owens Caye outside of Placencia, …
Prevention And Potential Treatment Strategies For Respiratory Syncytial Virus,
2024
The Texas Medical Center Library
Prevention And Potential Treatment Strategies For Respiratory Syncytial Virus, Bo-Wen Sun, Peng-Peng Zhang, Zong-Hao Wang, Xia Yao, Meng-Lan He, Rui-Ting Bai, Hao Che, Jing Lin, Tian Xie, Zi Hui, Xiang-Yang Ye, Li-Wei Wang
Faculty, Staff and Student Publications
Respiratory syncytial virus (RSV) is a significant viral pathogen that causes respiratory infections in infants, the elderly, and immunocompromised individuals. RSV-related illnesses impose a substantial economic burden worldwide annually. The molecular structure, function, and in vivo interaction mechanisms of RSV have received more comprehensive attention in recent times, and significant progress has been made in developing inhibitors targeting various stages of the RSV replication cycle. These include fusion inhibitors, RSV polymerase inhibitors, and nucleoprotein inhibitors, as well as FDA-approved RSV prophylactic drugs palivizumab and nirsevimab. The research community is hopeful that these developments might provide easier access to knowledge and …
Dementia Prediction In Older Adults Using Sex-Specific Health Trajectory Clustering,
2024
The Texas Medical Center Library
Dementia Prediction In Older Adults Using Sex-Specific Health Trajectory Clustering, Omar A Ibrahim, Muskan Garg, Sunyang Fu, Maria Vassilaki, Ronald C Petersen, Jennifer St Sauver, Sunghwan Sohn
Faculty, Staff and Student Publications
With increasing number of people living with dementia, the problem of late diagnosis significantly impacts a person's quality of life while early signs of dementia may provide useful insights to facilitate better treatment plans. With time, this progressive neurodegenerative syndrome could progress from mild cognitive impairment to dementia. A pattern of health conditions can be characterized in unsupervised manner to help predict this progress. As a significant extension to our previous work with streaming clustering model, we consider additional information for predicting dementia onset. With empirical observations, we discover the importance of examining sex and age to predict dementia onset. …
Fusionnw, A Potential Clinical Impact Assessment Of Kinases In Pan-Cancer Fusion Gene Network,
2024
The Texas Medical Center Library
Fusionnw, A Potential Clinical Impact Assessment Of Kinases In Pan-Cancer Fusion Gene Network, Chengyuan Yang, Himansu Kumar, Pora Kim
Faculty, Staff and Student Publications
Kinase fusion genes are the most active fusion gene group in human cancer fusion genes. To help choose the clinically significant kinase so that the cancer patients that have fusion genes can be better diagnosed, we need a metric to infer the assessment of kinases in pan-cancer fusion genes rather than relying on the sample frequency expressed fusion genes. Most of all, multiple studies assessed human kinases as the drug targets using multiple types of genomic and clinical information, but none used the kinase fusion genes in their study. The assessment studies of kinase without kinase fusion gene events can …
Current Status And Applications Of Microbial Chassis Strains For Chinese Biomanufacturing Industry,
2024
School of Life Sciences, Tsinghua University, Beijing 100084, China; Department of Chemical Engineering, Tsinghua University, Beijing 100084, China; Center for Synthetic and Systems Biology, Tsinghua University, Beijing 100084, China
Current Status And Applications Of Microbial Chassis Strains For Chinese Biomanufacturing Industry, Guoqiang Chen, Fuqing Wu, Shuang Zheng, Jun Ding, Junting Sheng
Bulletin of Chinese Academy of Sciences (Chinese Version)
Biomanufacturing is an important component of new quality productive forces, representing the commanding height of the new round of technological revolution and serving as a new engine for industrial transformation following information technology. It demonstrates vast application prospects in fields such as renewable energy, advanced materials, biomedicine, green food, and environmental protection. Biomanufacturing utilizes chassis microorganisms similar as “microchip” to produce various bioproducts via processes including chassis design and construction, large-scale cell cultivation, and product purifications. Most chassis microorganisms in biomanufacturing were not domestically identified. This study summarizes the types of common chassis microorganisms both domestically and internationally, as well …
Research Progress In High-Throughput Phenotype Testing Technology And Equipment For Engineering Cells Based On Microfluidics,
2024
Institute of Biochemical Engineering, Department of Chemical Engineering, Tsinghua University, Beijing 100084, China; Key Laboratory of Industrial Biocatalysts, Ministry of Education, Beijing 100084, China
Research Progress In High-Throughput Phenotype Testing Technology And Equipment For Engineering Cells Based On Microfluidics, Shuang Li, Xiaojie Guo, Haibo Chen, Sisi Chen, Xin Da, Zhenghui Li, Qinxiu Liu, Yi Wang, Xinhui Xing, Chong Zhang
Bulletin of Chinese Academy of Sciences (Chinese Version)
Engineering cells are a core component of green bio-manufacturing. The efficient testing and acquisition of engineering cells with the desired phenotype is a critical factor in the successful implementation of bio-manufacturing. In recent years, based on microfluidics technologies, non-culture type single-cell phenotype high-throughput test equipment and culture type phenotype high-throughput test equipment for the growth and metabolism of single cell in a bioreactor have been developed such as microdroplet and microchamber, realizing high-throughput, automated, miniaturized, and integrated testing of the phenotypes of engineering cells and providing a powerful tool for the breeding of engineering cells. This review systematically compiles the …
Analysis And Reflections On Key Platform Facilities Construction Of Global Biomanufacturing Industry,
2024
National Science Library (Chengdu), Chinese Academy of Sciences, Chengdu 610299, China
Analysis And Reflections On Key Platform Facilities Construction Of Global Biomanufacturing Industry, Xiaoyan Wu, Fang Chen, Yaoying Shan, Anjing Lu
Bulletin of Chinese Academy of Sciences (Chinese Version)
Biomanufacturing, an emerging production method, is becoming a significant trend in global economic development and has garnered widespread international attention. Platform facilities are vital to the biomanufacturing industry’s development, serving as both the foundation for technological innovation and the bridge between research outcomes and practical applications. This study analyzes three key types of platform facilities and their operational mechanisms: technology innovation platforms (exemplified by the U.S. Agile BioFoundry), pilot-scale platforms (represented by European Bio Base Europe Pilot Plant), and industry incubation platforms (illustrated by the UK SynbiCITE). Drawing from these successful examples and examining China’s current platform infrastructure, this paper …
Research On Innovative Development Path And Policy Guarantee Of China’S Synthetic Biology Industry,
2024
School of Public Affairs, Nanjing University of Science and Technology, Nanjing 210094, China; Shenzhen Science and Technology Innovation Strategy Research Center, Shenzhen 518052, China
Research On Innovative Development Path And Policy Guarantee Of China’S Synthetic Biology Industry, Hongjun Geng, Chang Wang
Bulletin of Chinese Academy of Sciences (Chinese Version)
Synthetic biology is hailed as the third revolution in life sciences after the discovery of the DNA double helix structure and genomic technology, and is the core driving force for the leapfrog development of next-generation biomanufacturing and the future bioeconomy, opening up an opportunity window for the reshaping of the global manufacturing map. How to strategically position the synthesis biology industry and seize the strategic high ground in the industry is a core topic of interest for global science and technology powers and manufacturing powers. Based on the identification of problems in the development of China’s synthesis biology industry, this …
Internal Logic And Policy Recommendations Of Big Data To Support High-Quality Development Of Modern Agricultural Industry,
2024
Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China; School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100049, China
Internal Logic And Policy Recommendations Of Big Data To Support High-Quality Development Of Modern Agricultural Industry, Yingming Li, Zitong Wang, Mingyue Wang, Shiyi Liu
Bulletin of Chinese Academy of Sciences (Chinese Version)
Clarifying the internal logic of big data to support modern agricultural production is helpful to cultivate and develop new quality productive forces in agriculture. From the perspective of economics, this study proposes that the role of big data in modern agricultural production is mainly reflected in two levels. Firstly, it improves the total factor productivity of the traditional agricultural production function. Secondly, it changes the factor endowment structure of agricultural production and forms a new agricultural production function. Based on these, the realization form of big data to support modern agricultural production can be summarized as improving the efficiency of …
Recent Progress And Perspectives On Development Of Gene Editing Tools,
2024
School of Life Sciences, Tsinghua University, Beijing 100084, China; Beijing Frontier Research Center for Biological Structure, Tsinghua University, Beijing 100084, China; State Key Laboratory of Membrane Biology, Tsinghua University, Beijing 100084, China; Center for Life Sciences, Tsinghua University, Beijing 100084, China
Recent Progress And Perspectives On Development Of Gene Editing Tools, Zixian Liu, Chengping Li, Gogo Jun-Jie Liu
Bulletin of Chinese Academy of Sciences (Chinese Version)
The gene editing field has witnessed remarkable advancements in recent years, leading to the establishment and refinement of multidimensional gene editing platforms. These innovations have enabled precise targeted gene knockout, repair, and insertion. These tools have stimulated significant progress in fundamental research, therapeutics, agriculture, environment protection, and industrial applications. In this review, we provide a comprehensive overview of the milestones in gene editing tool development and offer perspectives on potential future directions for this rapidly evolving field.
Microbial Production Of Feed Amino Acids Promotes Reduction And Replacement Of Soybean Meal,
2024
Key Laboratory of Industrial Biotechnology of Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi 214122, China
Microbial Production Of Feed Amino Acids Promotes Reduction And Replacement Of Soybean Meal, Jia Liu, Qi Sheng, Kaifang Liu, Liming Liu
Bulletin of Chinese Academy of Sciences (Chinese Version)
With the promotion of soybean meal reduction and substitution as well as lower-protein diet technologies, China has become a leading global producer of feed amino acids. However, the amino acid industry faces significant challenges due to its relatively late start in independently developing industrial strains, resulting in relatively lagging key economic and technical parameters and a less robust intellectual property framework. The rapid progress of synthetic biology has provided promising avenues for the design and optimization of industrial amino acid-producing strains, offering new opportunities for the amino acid fermentation industry to enhance the global competitiveness. This study offers an in-depth …
Current Status And Prospect Of Industrial Filamentous Fungi In Biomanufacturing,
2024
Shandong Provincial Key Laboratory of Synthetic Biology, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao 266101, China; Qingdao New Energy Shandong Laboratory, Qingdao 266101, China; Shandong Energy Institute, Qingdao 266101, China
Current Status And Prospect Of Industrial Filamentous Fungi In Biomanufacturing, Zhiqiang Du, Ping Men, Yu Zhou, Xuan Zhang, Xuenian Huang, Xuefeng Lyu
Bulletin of Chinese Academy of Sciences (Chinese Version)
Filamentous fungi, a critical class of industrial microorganisms pivotal to the biomanufacturing industry, has extensive applications in various fields such as pharmaceuticals, food, agriculture, and chemical materials, which are playing a vital role in human life. Recently, innovations in synthetic biology have further driven the application of industrial filamentous fungi in biomanufacturing, highlighting their critical role in this field. This article presents a comprehensive review of the recent progress in the field, covering the latest developments in genetic modification techniques for industrial filamentous fungi, successful cases of rational strain improvement strategies aimed to enhance the quality and efficiency of current …
Digitalized Design Of Cell Factory Enables Green Biomanufacturing,
2024
Department of Chemical Engineering, Tsinghua University, Beijing 100084, China; Key Laboratory for Industrial Biocatalysis, Ministry of Education, Tsinghua University, Beijing 100084, China; Center for Synthetic and Systems Biology, Tsinghua University, Beijing 100084, China
Digitalized Design Of Cell Factory Enables Green Biomanufacturing, Fanze Meng, Rui Cao, Bing Hu, Lei Qin, Chun Li
Bulletin of Chinese Academy of Sciences (Chinese Version)
Green manufacturing is a modern manufacturing mode in the consideration of both environmental impact and efficiency of resource utilization, it represents a significant component of the “new productive force”. Centered on cell factories, green biomanufacturing leverages renewable resources to efficiently produce products that conform to the concepts of low-carbon, green, and sustainable development. The design of high-performance cell factories is pivotal for achieving efficient green biomanufacturing. Nevertheless, traditional cell factory design processes are complex, time-consuming, and labor-intensive. With advancements in artificial intelligence, digital-assisted cell factory design has emerged as a solution to save time and reduce costs. By integrating technologies …
