Covid-19 Pandemic Analysis By The Volterra Integral Equation Models: A Preliminary Study Of Brazil, Italy, And South Africa,
2022
Roger Williams University
Covid-19 Pandemic Analysis By The Volterra Integral Equation Models: A Preliminary Study Of Brazil, Italy, And South Africa, Yajni Warnapala, Emma Dehetre, Kate Gilbert
Arts & Sciences Faculty Publications
The COVID-19 pandemic has affected many people throughout the world. The objective of this research project was to find numerical solutions through the Gaussian Quadrature Method for the Volterra Integral Equation Model. The non-homogenous Volterra Integral Equation of the second kind is used to capture a broader range of disease distributions. Volterra Integral equation models are used in the context of applied mathematics, public health, and evolutionary biology. The mathematical models of this integral equation gave valid convergence results for the COVID-19 data for 3 countries Italy, South Africa and Brazil. The modeling of these countries was done using the …
Learning Latent Causal Dynamics,
2022
Carnegie Mellon University
Learning Latent Causal Dynamics, Weiran Yao, Guangyi Chen, Kun Zhang
Machine Learning Faculty Publications
One critical challenge of time-series modeling is how to learn and quickly correct the model under unknown distribution shifts. In this work, we propose a principled framework, called LiLY, to first recover time-delayed latent causal variables and identify their relations from measured temporal data under different distribution shifts. The correction step is then formulated as learning the low-dimensional change factors with a few samples from the new environment, leveraging the identified causal structure. Specifically, the framework factorizes unknown distribution shifts into transition distribution changes caused by fixed dynamics and time-varying latent causal relations, and by global changes in observation. We …
Iseeq: Information Seeking Question Generation Using Dynamic Meta-Information Retrieval And Knowledge Graphs,
2022
University of South Carolina - Columbia
Iseeq: Information Seeking Question Generation Using Dynamic Meta-Information Retrieval And Knowledge Graphs, Manas Gaur, Kalpa Gunaratna, Vijay Srinivasan, Hongxia Jin
Publications
Conversational Information Seeking (CIS) is a relatively new research area within conversational AI that attempts to seek information from end-users in order to understand and satisfy users’ needs. If realized, such a system has far-reaching benefits in the real world; for example, a CIS system can assist clinicians in pre-screening or triaging patients in healthcare. A key open sub-problem in CIS that remains unaddressed in the literature is generating Information Seeking Questions (ISQs) based on a short initial query from the end user. To address this open problem, we propose Information SEEking Question generator (ISEEQ), a novel approach for generating …
Data Analytics And Visualization Dsp 562,
2022
University of Rhode Island
Data Analytics And Visualization Dsp 562, Harrison Dekker
Collection Development Reports and Documents
No abstract provided.
Advanced Topics In Machine Learning Dsp 566,
2022
University of Rhode Island
Advanced Topics In Machine Learning Dsp 566, Harrison Dekker
Collection Development Reports and Documents
No abstract provided.
Introduction To Statistical Computing Dsp 565,
2022
University of Rhode Island
Introduction To Statistical Computing Dsp 565, Harrison Dekker
Collection Development Reports and Documents
No abstract provided.
Applications Of Data Science In Biological Science Dsp 569,
2022
University of Rhode Island
Applications Of Data Science In Biological Science Dsp 569, Harrison Dekker
Collection Development Reports and Documents
No abstract provided.
Mathematical Foundations For Data Science Ams/Dsp 563,
2022
University of Rhode Island
Mathematical Foundations For Data Science Ams/Dsp 563, Harrison Dekker
Collection Development Reports and Documents
No abstract provided.
Advanced Database Concepts, Cloud Computing And Big Data Dsp 567,
2022
University of Rhode Island
Advanced Database Concepts, Cloud Computing And Big Data Dsp 567, Harrison Dekker
Collection Development Reports and Documents
No abstract provided.
Data Science For Business Dsp 568,
2022
University of Rhode Island
Data Science For Business Dsp 568, Harrison Dekker
Collection Development Reports and Documents
No abstract provided.
Session 5: Equipment Finance Credit Risk Modeling - A Case Study In Creative Model Development & Nimble Data Engineering,
2022
Channel Partners
Session 5: Equipment Finance Credit Risk Modeling - A Case Study In Creative Model Development & Nimble Data Engineering, Edward Krueger, Landon Thompson, Josh Moore
SDSU Data Science Symposium
This presentation will focus first on providing an overview of Channel and the Risk Analytics team that performed this case study. Given that context, we’ll then dive into our approach for building the modeling development data set, techniques and tools used to develop and implement the model into a production environment, and some of the challenges faced upon launch. Then, the presentation will pivot to the data engineering pipeline. During this portion, we will explore the application process and what happens to the data we collect. This will include how we extract & store the data along with how it …
Multiple Approaches Converge On Three Biological Subtypes Of Meningioma And Extract New Insights From Published Studies,
2022
The Texas Medical Center Library
Multiple Approaches Converge On Three Biological Subtypes Of Meningioma And Extract New Insights From Published Studies, James C Bayley, Caroline C Hadley, Arif O Harmanci, Akdes S Harmanci, Tiemo J Klisch, Akash J Patel
Faculty, Staff and Student Publications
One-fifth of meningiomas classified as benign by World Health Organization (WHO) histopathological grading will behave malignantly. To better diagnose these tumors, several groups turned to DNA methylation, whereas we combined RNA-sequencing (RNA-seq) and cytogenetics. Both approaches were more accurate than histopathology in identifying aggressive tumors, but whether they revealed similar tumor types was unclear. We therefore performed unbiased DNA methylation, RNA-seq, and cytogenetic profiling on 110 primary meningiomas WHO grade I and II). Each technique distinguished the same three groups (two benign and one malignant) as our previous molecular classification; integrating these methods into one classifier further improved accuracy. Computational …
Development Of Guidelines For Collecting Transit Ridership Data,
2022
Old Dominion University
Development Of Guidelines For Collecting Transit Ridership Data, Hong Yang, Kun Xie, Sherif Ishak, Qingyu Ma, Yang Liu
Computational Modeling & Simulation Engineering Faculty Publications
Transit ridership is a critical determinant for many transit applications such as operation optimizations and project prioritization under performance-based funding mechanisms. As a result, the quality of ridership data is of utmost importance to both transit administrative agencies and transit operators. Many transit operators in Virginia report their ridership data to the Department of Rail and Public Transportation (DRPT) and the National Transit Database (NTD). However, with no specific guidelines available to transit agencies in Virginia for collecting ridership data, the heterogeneous mixture of diverse data collection methods and technologies has often raised concerns about the consistency and quality of …
Mental Health In The Uk Biobank: A Roadmap To Self-Report Measures And Neuroimaging Correlates,
2022
Washington University School of Medicine in St. Louis
Mental Health In The Uk Biobank: A Roadmap To Self-Report Measures And Neuroimaging Correlates, Rosie K. Dutt, Kayla Hannon, Ty O. Easley, Joseph C. Griffis, Wei Zhang, Janine D. Bijsterbosch
Statistical and Data Sciences: Faculty Publications
The UK Biobank (UKB) is a highly promising dataset for brain biomarker research into population mental health due to its unprecedented sample size and extensive phenotypic, imaging, and biological measurements. In this study, we aimed to provide a shared foundation for UKB neuroimaging research into mental health with a focus on anxiety and depression. We compared UKB self-report measures and revealed important timing effects between scan acquisition and separate online acquisition of some mental health measures. To overcome these timing effects, we introduced and validated the Recent Depressive Symptoms (RDS-4) score which we recommend for state-dependent and longitudinal research in …
Verticox: Vertically Distributed Cox Proportional Hazards Model Using The Alternating Direction Method Of Multipliers,
2022
The Texas Medical Center Library
Verticox: Vertically Distributed Cox Proportional Hazards Model Using The Alternating Direction Method Of Multipliers, Wenrui Dai, Xiaoqian Jiang, Luca Bonomi, Yong Li, Hongkai Xiong, Lucila Ohno-Machado
Faculty, Staff and Student Publications
The Cox proportional hazards model is a popular semi-parametric model for survival analysis. In this paper, we aim at developing a federated algorithm for the Cox proportional hazards model over vertically partitioned data (i.e., data from the same patient are stored at different institutions). We propose a novel algorithm, namely VERTICOX, to obtain the global model parameters in a distributed fashion based on the Alternating Direction Method of Multipliers (ADMM) framework. The proposed model computes intermediary statistics and exchanges them to calculate the global model without collecting individual patient-level data. We demonstrate that our algorithm achieves equivalent accuracy for the …
Representation Learning For Chemical Activity Predictions,
2022
CUNY Graduate Center
Representation Learning For Chemical Activity Predictions, Mohamed S. Ayed
Dissertations, Theses, and Capstone Projects
Computational prediction of a phenotypic response upon the chemical perturbation on a biological system plays an important role in drug discovery and many other applications. Chemical fingerprints derived from chemical structures are a widely used feature to build machine learning models. However, the fingerprints ignore the biological context, thus, they suffer from several problems such as the activity cliff and curse of dimensionality. Fundamentally, the chemical modulation of biological activities is a multi-scale process. It is the genome-wide chemical-target interactions that modulate chemical phenotypic responses. Thus, the genome-scale chemical-target interaction profile will more directly correlate with in vitro and in …
Blockchain: Key Principles,
2022
CUNY Graduate Center
Blockchain: Key Principles, Nadezda Chikurova
Dissertations, Theses, and Capstone Projects
“Blockchain: Key Principles” is an interactive visual project that explains the importance of data privacy and security, decentralized computing, and open-source software in the modern digital world through the history of the underlying principles of blockchain technology. Some of these key concepts have their roots in the time before the Information Age. By explaining the history of these principles, I want to present the fact that over the past centuries, humanity has been fighting for their privacy, security, and the ability to efficiently express themselves one way or another. Blockchain technology, which was introduced to the public in 2008 through …
Air Pollution, Climate Change, And Our Health,
2022
CUNY Graduate Center
Air Pollution, Climate Change, And Our Health, Kathia Vargas Feliz
Dissertations, Theses, and Capstone Projects
Climate change is a subject that is creating a lot of controversies nowadays. From newspapers to researchers, there are big efforts going on trying to bring awareness about the effects of air pollution and climate change over time. It is recommended that governments all over the world, and people from all communities act by taking care of the environment because the situation might turn out to be irremediable. There is a quote by Leonardo Dicaprio stating, “Climate change is real. It is happening right now; it is the most urgent threat facing our entire species and we need to …
Liquidity Commonality With Factor Models,
2022
CUNY Graduate Center
Liquidity Commonality With Factor Models, Ernesto Garcia Iii
Dissertations, Theses, and Capstone Projects
Market microstructure research has recently devoted attention to a phenomenon called commonality in liquidity. In this dissertation, I will analyze commonality in liquidity using a novel factor model approach and a generalized definition of commonality in liquidity. This analysis will show that commonality in liquidity is rarely a marketwide phenomenon and is mostly restricted to stocks with a large market capitalization. Additionally, commonality in liquidity is a very recent phenomenon whose appearance coincides with a rise in passive investing after the Dotcom Bubble burst and, more so, after the 2008 Financial Crisis. I will present evidence that suggests commonality in …
The Data Analytics And The Science Revolution,
2022
Embry-Riddle Aeronautical University
The Data Analytics And The Science Revolution, Leila Halawi, Amal Clarke, Kelly George
Publications
This text highlights the difference between analytics and data science, using predictive analytic techniques to analyze different historical data, including aviation data and concrete data, interpreting the predictive models, and highlighting the steps to deploy the models and the steps ahead. The book combines the conceptual perspective and a hands-on approach to predictive analytics using SAS VIYA, an analytic and data management platform. The authors use SAS VIYA to focus on analytics to solve problems, highlight how analytics is applied in the airline and business environment, and compare several different modeling techniques. They decipher complex algorithms to demonstrate how they …
