Data Science Commons^™

The Double Edged Sword Of The Pandemic: Exploring Associations Between Covid-19 And Social Isolation In The Usa, Alexander Fulk

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Application Of Physics Informed Neural Networks For Predicting Disease Dynamics, Alonso Gabriel Ogueda, Padmanabhan Seshaiyer

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Bridging Domain Gaps For Cross-Spectrum And Long-Range Face Recognition Using Domain Adaptive Machine Learning, Cedric Armel Nimpa Fondje

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Face recognition technology has witnessed significant advancements in recent decades, enabling its widespread adoption in various applications such as security, surveillance, and biometrics applications. However, one of the primary challenges faced by existing face recognition systems is their limited performance when presented with images from different modalities or domains( such as infrared to visible, long range to close range, nighttime to daytime, profile to f rontal, etc.) Additionally, advancements in camera sensors, analytics beyond the visible spectrum, and the increasing size of cross-modal datasets have led to a particular interest in cross-modal learning for face recognition in the biometrics and …

Mathematical Modeling Of The Impact Of Lobbying On Climate Policy, Andrew Jacoby, Claire Hannah, James Hutchinson, Jasmine Narehood, Aditi Ghosh, Padmanabhan Seshaiyer

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Modeling Maternal Outcomes By Predicting Geospatial And Social Determinants Of Health, Emily Thompson

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Identification Of Significant Gene Expression Changes Incorporating Heterogeneity In Perturbation Experiments, Katharine Cross

Honors Projects in Biological and Biomedical Sciences

Machine learning methods have been widely applied to the field of genomics and bioinformatics. Specifically utilizing novel machine learning algorithms to study gene-drug interactions has the potential to make a major positive impact on new drug discovery. It is possible that heterogeneity may exist within Vorinostat drug perturbation experiments due to the effects of the perturbations on the gene expressions. Thus, the challenge is to identify the most important genes in a high-dimensional setting while first identifying subpopulations to address population heterogeneity. In this work, clustering techniques are applied to first identify group sub-population structures in the gene expression changes …

Promoting Data Harmonization To Evaluate Vaccine Hesitancy In Lmics: Approach And Applications, Ryan Rego, Yuri Zhukov, Kyrani Reneau, Amy Pienta, Kristina L. Rice, Patrick Brady, Geoffrey Siwo, Peninah Wachira, Amina Abubakar, Ken Kollman

Institute for Human Development, East Africa

Background: Factors influencing the health of populations are subjects of interdisciplinary study. However, datasets relevant to public health often lack interdisciplinary breath. It is difficult to combine data on health outcomes with datasets on potentially important contextual factors, like political violence or development, due to incompatible levels of geographic support; differing data formats and structures; differences in sampling procedures and wording; and the stability of temporal trends. We present a computational package to combine spatially misaligned datasets, and provide an illustrative analysis of multi-dimensional factors in health outcomes.

Methods: We rely on a new software toolkit, Sub-National Geospatial Data Archive …

Economic Equity And People With Disabilities: Development And Characterization Of A Novel Index, Michael Morris, Barry Whaley, Vinh Nguyen

Faculty, Staff and Student Publications

Here we develop two new social indices: The ADA PARC Absolute Economic Opportunity Index and the ADA PARC Relative Economic Opportunity Index. These indices allow us novel examinations of economic equity between people with and without disabilities within a U.S. State and between people with disabilities in different states using aggregations of multiple component economic indicators. These represent the first efforts to offer U.S. indices of this focus, an important development given the distinct economic needs of people with disabilities and the value in accounting for distinct national policies. The indices rely on U.S. Census and other data on economic …

Ensuring Trust In Genomics Research

Faculty, Staff and Student Publications

Reproducibility, transparency, representation, and privacy underpin the trust on genomics research in general and genome-wide association studies (GWAS) in particular. Concerns about these issues can be mitigated by technologies that address privacy protection, quality control, and verifiability of GWAS. However, many of the existing technological solutions have been developed in isolation and may address one aspect of reproducibility, transparency, representation, and privacy of GWAS while unknowingly impacting other aspects. As a consequence, the current patchwork of technological tools only partially and in an overlapping manner address issues with GWAS, sometimes even creating more problems. This paper addresses the progress in …

Effect Of Ultrasound On The Stability Of Partial Nitrification: Under The Interference Of Aeration Rate, Shuai Tian, Junfeng Lian, Shanyan Dong

Faculty, Staff and Student Publications

The fluctuation of dissolved oxygen is one of the primary cause of disruptions to the consistent operation of partial nitrification, and the level of dissolved oxygen is mainly controlled by the aeration rate. This study investigated the influence of ultrasonic treatment on the stability of partial nitrification of activated sludge under different aeration conditions. After being treated with ultrasound (energy density = 0.20 W·mL−1, treatment time = 10 min), partial nitrification process operated stably for 67 days, with the nitrite accumulation rate above 83.89 %. The effluent contained 42.50 mg·L−1 of nitrite, much higher than the control reactor (0.30 mg·L−1). …

Surface Premelting Of Ice Far Below The Triple Point, Thomas E Gage, Suvo Banik, Arnab Neogi, Henry Chan, Aiwen Lei, Xiao-Min Lin, Martin Holt, Ilke Arslan, Jianguo Wen

Faculty, Staff and Student Publications

Premelting of ice, a quasi-liquid layer (QLL) at the surface below the melting temperature, was first postulated by Michael Faraday 160 y ago. Since then, it has been extensively studied theoretically and experimentally through many techniques. Existing work has been performed predominantly on hexagonal ice, at conditions close to the triple point. Whether the same phenomenon can persist at much lower pressure and temperature, where stacking disordered ice sublimates directly into water vapor, remains unclear. Herein, we report direct observations of surface premelting on ice nanocrystals below the sublimation temperature using transmission electron microscopy (TEM). Similar to what has been …

Link Tank

DePaul Magazine

A new JD certificate program in information technology, cybersecurity and data privacy provides DePaul University students with proficiency in both law and tech.

A Dynamic Online Dashboard For Tracking The Performance Of Division 1 Basketball Athletic Performance, Erica Juliano, Chelsea Thakkar, Christopher B. Taber, Mehul S. Raval, Kaya Tolga, Samah Senbel

School of Computer Science & Engineering Undergraduate Publications

Using Data Analytics is a vital part of sport performance enhancement. We collect data from the Division 1 'Women's basketball athletes and coaches at our university, for use in analysis and prediction. Several data sources are used daily and weekly: WHOOP straps, weekly surveys, polar straps, jump analysis, and training session information. In this paper, we present an online dashboard to visually present the data to the athletes and coaches. R shiny was used to develop the platform, with the data stored on the cloud for instant updates of the dashboard as the data becomes available. The performance of athletes …

Google Search Trends To Assess Public Interest In And Concern About Vuity For Treating Presbyopia, Taku Wakabayashi, Hana A. Mansour, Robert Abishek, Jayanth Sridhar, Michael N. Cohen, David Xu, Jordan Deaner, Yoshihiro Yonekawa, Jason Hsu, Ajay E. Kuriyan

Wills Eye Hospital Papers

PURPOSE: To assess public awareness, interest, and concerns regarding Vuity (1.25% pilocarpine hydrochloride ophthalmic solution), an eye drop for the treatment of presbyopia, based on Google Trends.

METHODS: We used Google Trends that provides a relative search volume for queried terms, to evaluate searches for Vuity from June 30, 2021, to June 30, 2022, in the United States. The data for this study were downloaded on June 30, 2022. Main outcome measures were changes in relative search volumes for the terms "Vuity," "Eye drops for reading," "Eye drops for near vision," "Presbyopia," "Pilocarpine," and related popular search terms, such as …

Modeling And Estimation Of A Continuous Flexible Structure Using The Theory Of Functional Connections, Riccardo Bevilacqua

Math Department Colloquium Series

This talk presents a novel method for modeling and estimating the dynamics of a continuous structure based on a limited number of noisy measurements. The goal is reached using a Kalman filter in synergy with the recently developed mathematical framework known as the Theory of Functional Connections (TFC). The TFC allows to derive a functional expression capable of representing the entire space of the functions that satisfy a given set of linear and, in some cases, nonlinear constraints. The proposed approach exploits the possibilities offered by the TFC to derive an approximated dynamical model for the flexible system using the …

Digital Economy Enables Chinese Path To Modernization, Ying Liu, Chaochun Huang, Yongmiao Hong, Shouyang Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Firstly, from the perspective of the internal consistency between the characteristics of Chinese path to modernization and the Internet spirit, this study reveals the importance of developing the digital economy for achieving Chinese path to modernization, and expounds the internal logic of digital economy enabling Chinese path to modernization. Then, it analyzes the challenges and problems faced by the construction of Chinese path to modernization from the aspects of the construction of basic scientific and technological capacity of digital economy, the coordination mechanism of data elements, the structural imbalance of digital development, governance system and security system. Finally, based on …

Evaluating The Impact Of An Mhealth Platform For Managing Acute Postoperative Dental Pain: Randomized Controlled Trial, Kristen Simmons, Nicholas Skourtes, Urvi Mehta, Sayali Tungare, David Holmes, Joel White, Muhammad Walji, Elsbeth Kalenderian

Faculty, Staff and Student Publications

BACKGROUND: Postoperative dental pain is pervasive and can affect a patient's quality of life. Adopting a patient-centric approach to pain management involves having contemporaneous information about the patient's experience of pain and using it to personalize care.

OBJECTIVE: In this study, we evaluated the use of a mobile health (mHealth) platform to collect pain-related patient-reported outcomes over 7 days after the patients underwent pain-inducing dental procedures; we then relayed the information to the dentist and determined its impact on the patient's pain experience.

METHODS: The study used a cluster-randomized experimental study design with an intervention arm where patients were prompted …

Fall Town Hall On Research Data Management, Megan Hurst, Christine Madsen, Kristi Thompson

Western Libraries Presentations

This Town Hall was held to share recommendations for Research Data Management at Western that result from a gap analysis to understand the RDM needs at Western, conducted by Athenaeum21, a strategy and technology consultancy engaged by Western for this work. The recommendations will inform the implementation of Western’s Research Data Management Strategy, which shapes Research Data Management at Western for all researchers, grant funded or not, student or faculty, regardless of discipline.

Lrtransformer: Learn-Region Transformer For Object-Agnostic Point Cloud Segmentation, Dipesh Gyawali

LSU Master's Theses

3D point cloud segmentation segments the 3D point cloud data into different regions/instances depending on their features that have numerous applications in robotics, autonomous driving, digital twinning, augmented reality, etc. The majority of the existing point cloud segmentation methods depend on class labels to identify 3D objects in the surroundings. Our work focuses on segmenting point clouds into different regions/instances in an object-agnostic manner for any number of objects in the environment. Given the point cloud, our method can segment the entire scene into multiple instances without depending on object shape and size. We leverage the power of the self-attention …

Braf D594a Mutation Defines A Unique Biological And Immuno-Modulatory Subgroup Associated With Functional Cd8+ T Cell Infiltration In Colorectal Cancer, Kaili Ma, Yujie Lu, Xiaowei Liu, Lianjun Zhang, Feng Guo

Faculty, Staff and Student Publications

BACKGROUND: BRAF non-V600 mutation occupies a relatively small but critical subset in colorectal cancer (CRC). However, little is known about the biological functions and impacts of BRAF class III mutation in CRC. Here, we aim to explore how D594A mutation impacts on biological behaviors and immune related signatures in murine CRC cells.

METHODS: BRAF V600E (class I), G469V (class II) and D594A (class III) mutant cell lines were established based on MC38 cells. The biological behaviors of cells were evaluated in respect of cell growth, cell proliferation, cell apoptosis, cell migration and invasion by the methods of colony-forming assay, CCK-8 …