Digital Commons Network^™

Systematic Review And Meta-Analysis Of Placebo Cure In Onychomycosis Clinical Trials, Julianne M. Falotico, Zachary J.K. Neubauer, Anjile An, Shari R. Lipner

Student Papers, Posters & Projects

No abstract provided.

Esg Performance In The Regulatory Transformation Era: A Systematic Thematic Review (2020–2024), Jiyeon Kim Ph.D., Wooyoung Yang

Faculty Publications

Introduction:

The 2020-2024 period represents a regulatory transformation era in ESG research, marked by mandatory disclosure frameworks (CSRD/ESRS, SEC climate rules, ISSB standards) replacing voluntary approaches. This creates a natural experiment for examining ESG-performance relationships under compulsory reporting. Despite extensive voluntary-period literature, limited research addresses how mandatory frameworks alter these relationships during regulatory transformation.

Methods:

We conducted a systematic thematic review following PRISMA 2020 guidelines (INPLASY202570105). Comprehensive database searches (2020–2024) yielded 4,441 records; after screening (Cohen's κ = 0.89), 17 high-quality studies met inclusion criteria (12 primary search, 5 ESRS-specific supplementary search). Thematic analysis identified ten interconnected themes grounded in …

The Role Of Micrornas As Potential Biomarkers In Diffuse Large B-Cell Lymphoma, Eirini Panteli, Epameinondas Koumpis, Vasileios Georgoulis, Georgios Petros Barakos, Evangelos Kolettas, Panagiotis Kanavaros, Alexandra Papoudou-Bai, Eleftheria Hatzimichael

Computational Medicine Center Faculty Papers

Diffuse large B-cell lymphoma (DLBCL) is the most common and clinically aggressive subtype of non-Hodgkin lymphoma (NHL). While novel therapies such as rituximab and polatuzumab vedotin have led to improved outcomes, approximately 35% of patients eventually develop relapsed or refractory disease. MicroRNAs (miRNAs), a class of endogenous single-stranded RNAs approximately 22 nucleotides in length, play a pivotal role in the regulation of gene expression at the post-transcriptional level through interactions with complementary target RNAs and contribute significantly to the development, progression, and treatment response of DLBCL. Oncogenic miRNAs, such as miR-155, miR-21, and the miR-17-92 cluster, promote proliferation, survival, immune …

Ai In Ocean Traffic Monitoring, Tyler Hawkins, Steven D. Meyers, Aishlin Ingraham, Mark E. Luther

Making Waves REU

The Maritime Automatic Identification System (AIS) produces over 100 terabytes of data annually. offering vital insights into globaJ vessel traffic, identity, and navigation patterns. However, the massive volume and inconsislent quality of AIS data introduce challenges for researchers seeking to extract reliable and applicable information. This study investigates the, effectiveness of Julius Al, an off-the-shelf data science platform, for streamlining the analysis of a ilarge AIS dataset, spanning 2015 to 2019 and covering over 42 million messages from Florida's five busiest ports. The results were compared to a previous human analysis. By leveraging only natural language prompts, we explore how …

National Survey Of Physical Therapists’ Participation As Health Educators In Physical Activity Promotion Among Older Adults, Casey Nicole Mokres

Walden Dissertations and Doctoral Studies

Physical inactivity among older adults remains a major national and global public health concern linked to preventable morbidity, mortality, and rising healthcare costs. Physical therapists are uniquely positioned to promote physical activity (PA) through health education, yet their engagement in this role is not well defined. This quantitative cross-sectional study examined associations between clinical practice factors—years of experience, board certification status, and practice setting—and three domains of the theoretical domains framework (knowledge, skills, and behavioral regulation) related to PA promotion among older adults. The framework guided identification of behavioral and contextual factors influencing therapists’ delivery of PA promotion interventions. Data …

Loss Of Kdm6a-Mediated Genomic Instability And Metabolic Reprogramming Regulates Response To Therapeutic Perturbations In Bladder Cancer, Pratishtha Singh, Ranit D'Rozario, Bidisha Chakraborty, Swadhin Meher, Deblina Raychaudhuri, Aminah J Tannir, Yang Li, Anurag Majumdar, Jessalyn Hawkins, Yun Xiong, Philip Lorenzi, Padmanee Sharma, Kadir Akdemir, Patrick Pilie, Abhinav K Jain, Byron Hing Lung Lee, Sangeeta Goswami

Faculty, Staff and Student Publications

Mutations in epigenetic regulators are common in bladder cancer, yet their impact on therapeutic responses remains unclear. Here, we identify that loss-of-function mutations in KDM6A, a histone demethylase altered in about 26% of advanced bladder cancers, are associated with poor survival after cisplatin chemotherapy, whereas they correlate with improved outcomes with anti-PD-1 therapy. Using CRISPR-Cas9-engineered murine and human bladder cancer models, we show that KDM6A deficiency increases formation of extrachromosomal circular DNA carrying chemoresistance loci, promoting cisplatin resistance. In parallel, KDM6A loss impairs DNA repair and rewires tumor metabolism, reducing glycolysis and lactate output. This metabolic shift diminishes histone lactylation …

Thermodynamic Stability Modulates Chaperone-Mediated Disaggregation Of Α-Synuclein Fibrils, Celia Fricke, Antonin Kunka, Rasmus K Norrild, Shuangyan Wang, Thi Lieu Dang, Jonas Folke, Mohammad Shahnawaz, Claudio Soto, Susana Aznar, Anne S Wentink, Bernd Bukau, Alexander K Buell

Faculty, Staff and Student Publications

Aggregation of the intrinsically disordered protein alpha-synuclein into amyloid fibrils and their subsequent intracellular accumulation are hallmark features of several neurodegenerative disorders, including Parkinson's disease, for which no curative treatments currently exist. In this study, we investigate the relationship between fibril morphology, thermodynamic stability, and susceptibility to disaggregation by the human chaperone system comprising HSP70, DNAJB1, and Apg2. By varying assembly conditions and incubation times, we generated alpha-synuclein fibrils with diverse morphological and biochemical properties, including a broad range of thermodynamic stabilities, which we quantified using a chemical depolymerization assay. The chaperone system effectively disaggregated three of the four fibril …

Employment Stability And Security Of Low-Wage Workers In The United States, Mathieu Despard, Guangli Zhang, Stephen Roll

Center for Social Development Research

One quarter of workers in the United States make $35,000 or less, and nearly half of these are between 35 and 64 years old. Forty percent are caring for children in the home. As temporary and gig working arrangements become increasingly common, this brief explores the stability of work and income for low-wage workers. The analyses draw upon data from the Workforce Economic Inclusion and Mobility survey administered to a nationally representative sample of U.S. workers earning less than 250% of the federal poverty line. The findings from this work have direct implications for employment practices and labor policies.

Characterization Of Inflammatory Pseudotumors In A Large Animal Model Of Liver Cancer, Erik N K Cressman, Samantha Hicks, Natalie W Fowlkes, Danielle L Stolley, Maria Sophia Stenkamp

Faculty, Staff and Student Publications

Background: The development of relevant and robust large animal models of hepatocellular carcinoma is needed to test new therapeutic strategies for this disease. Transgenic approaches hold promise in addressing this complex problem. One such model, the Oncopig, has been reported to develop tumors of up to 4 cm in diameter within 7-14 days at sites of in situ vector inoculation. However, the resulting lesions reportedly contained an extensive inflammatory component that has not been evaluated in detail.

Methods: Herein, we describe our results from multiparametric characterization of the lesions generated using liver biopsy cores incubated in vector solution and replaced …

Spatially Resolved Integrative Analysis Of Transcriptomic And Metabolomic Changes In Tissue Injury Studies, Eleanor C Williams, Lovisa Franzén, Martina Olsson Lindvall, Gregory Hamm, Steven Oag, Muntasir Mamun Majumder, James Denholm, Azam Hamidinekoo, Javier Escudero Morlanes, Marco Vicari, Joakim Lundeberg, Laura Setyo, Trevor M Godfrey, Livia S Eberlin, Aleksandr Zakirov, Jorrit J Hornberg, Marianna Stamou, Patrik L Ståhl, Anna Ollerstam, Jennifer Y Tan, Irina Mohorianu

Faculty, Staff and Students Publications

Recent developments in spatially resolved -omics have enabled the joint study of gene expression, metabolite levels and tissue morphology, offering greater insights into biological pathways. Integrating these modalities from matched tissue sections to probe spatially-coordinated processes, however, remains challenging. Here we introduce MAGPIE, a framework for co-registering spatially resolved transcriptomics, metabolomics, and tissue morphology from the same or consecutive sections. We show MAGPIE's generalisability and scalability on spatial multi-omics data from multiple tissues, combining Visium with MALDI and DESI mass spectrometry imaging. MAGPIE was also applied to new multi-modal datasets generated with a specialised sampling strategy to characterise the metabolic …

Harnessing Microbial Tools: Escherichia Coli As A Vehicle For Neuropeptide Functional Analysis In Caenorhabditis Elegans, Elizabeth M Diloreto, Shruti Shastry, Emily J Leptich, Douglas K Reilly, Rachel N Arey, Jagan Srinivasan

Faculty, Staff and Students Publications

Animals respond to changes in their environment and internal states via neuromodulation. Neuropeptides modulate neural circuits with flexibility because 1 gene can produce either multiple copies of the same neuropeptide or different neuropeptides. However, with this architectural complexity, the function of discrete and active neuropeptides is muddled. Here, we design a genetic tool that facilitates functional analysis of individual peptides. We engineered Escherichia coli bacteria to express active peptides, fed loss-of-function Caenorhabditis elegans, and rescued the activity of genes with varying lengths and functions: pdf-1, flp-3, ins-6, and ins-22. Some peptides were functionally redundant, while others exhibit unique and previously …

The Virtual Kitchen Challenge-Version 2: Validation Of A Digital Assessment Of Everyday Function In Older Adults, Marina Kaplan, Moira Mckniff, Stephanie M. Simone, Molly B. Tassoni, Katherine Hackett, Sophia Holmqvist, Rachel E. Mis, Kimberly Halberstadter, Riya Chaturvedi, Melissa Rosahl, Giuliana Vallecorsa, Mijail Serruya, Deborah A. G. Drabick, Takehiko Yamaguchi, Tania Giovannetti

Department of Medicine Faculty Papers

BACKGROUND: Conventional methods of functional assessment include subjective self- or informant report, which may be biased by personal characteristics, cognitive abilities, and lack of standardization (eg, influence of idiosyncratic task demands). Traditional performance-based assessments offer some advantages over self- or informant reports but are time-consuming to administer and score.

OBJECTIVE: This study aims to evaluate the validity and reliability of the Virtual Kitchen Challenge-Version 2 (VKC-2), an objective, standardized, and highly efficient alternative to current functional assessments for older adults across the spectrum of cognitive aging, from preclinical to mild dementia.

METHODS: A total of 236 community-dwelling, diverse older adults …

Machine Learning-Based Multimodal Biomarkers Enable Accurate Diagnosis And Early Detection Of Pancreatic Ductal Adenocarcinoma, Tsung-Hung Yao, Warapen Treekitkarnmongkol, Nagireddy Putluri, Deivendran Sankaran, Tristian Nguyen, Seetharaman Balasenthil, Mark W Hurd, Meng Chen, Randall E Brand, Paul D Lampe, Abu Hena M Kamal, Vasanta Putluri, Tony Y Hu, Anirban Maitra, Eugene J Koay, Ann M Killary, Subrata Sen, Suprateek Kundu

Faculty, Staff and Students Publications

While there has been some progress on discovering clinically validated biomarkers for early detection in pancreatic ductal adenocarcinoma (PDAC), several challenges remain. Most approaches rely on single-modality biomarkers with limited sensitivity and/or specificity. Using data from a multicenter study with an age-matched cohort (n = 203 with healthy controls n = 46, pancreatitis controls n = 36, and diagnosed cases n = 121), we developed a machine learning approach integrating 2,096 microRNAs, 125 metabolites, and CA19-9. Our method performs unsupervised selection of an optimal subset of biomarkers with maximal discriminatory power for diagnosis and early detection. In training data, the …

Pathways, Outputs And Impact Of Nih-Supported Bioinformatics And Genomics Graduate Trainees In Africa, Daudi Jjingo, Andrew Walakira, Suhaila Hashim, Cisse Cheickna, Ronald Galiwango, Caleb Kibet, Florence N Kivunike, Gerald Mboowa, Fredrick Elishama Kakembo, Babajide Ayodele, Jean-Baka Domelevo Entfellner, Santie De Villiers, Karen Wambui, Segun Fatumo, Tinashe Chikowore, John Mukisa, Alfred Ssekagiri, Nicholas Bbosa, Julius Mulindwa, Samuel Kyobe, Mike Nsubuga, Grace Kebirungi, Eric Katagirya, Savannah Mwesigwa, Ibra Lujumba, Rogers Kamulegeya, Samuel Kirimunda, Stephen Kanyerezi, Shahiid Kiyaga, Ivan Sserwadda, Davis Kiberu, Bernard S Bagaya, Julius Okwir, Patricia Nabisubi, Grace Nabakooza, Mugume Twinamatsiko Atwine, Ricard Sserunjogi, Rolanda Julius, Mariam Quiñones, Meghan Mccarthy, Phillip Cruz, Karlynn Noble, Christopher J Whalen, Darrell Hurt, Maria Y Giovanni, Michael Tartakovsky, Deogratius Ssemwanga, John M Kitayimbwa, Steven J Reynolds, Christopher C Whalen, Andrew Kambugu, Neil A Hanchard, Li Jian, Peter Amoako-Yirenkyi, Graeme Mardon, I King Jordan, Samson Pandam Salifu, Mamadou Wele, Ezekiel Adebiyi, Jeffrey G Shaffer, Seydou Doumbia, David Patrick Kateete, Michelle Skelton, Nicola Mulder, Jonathan K Kayondo, Daniel Masiga, H3africa Consortium

Faculty, Staff and Students Publications

Global biomedical and health research is increasingly relying on genomic and computational approaches, largely driven by the increasing volumes of nucleic acid sequencing. Concurrently, epidemiological studies and clinical records are generating enormous amounts of data amenable to disease modeling, machine learning, and artificial intelligence techniques. Bioinformatics and data science expertise is therefore essential for improved population health. Accordingly, in 2012, the US National Institutes of Health (NIH) in partnership with the Wellcome Trust, and with support from the African Society for Human Genetics, initiated the H3Africa (Human Heredity and Health in Africa) consortium. One of its key goals was to …

Editorial: Building Belonging Across Languages: Spanish-English Picturebooks In Conversation Construyendo Pertenencia Entre Lenguas: Libros Bilingües En Diálogo, Brenda Sarmiento-Quezada, Dafne Zanelli

First Opinions, Second Reactions

No abstract provided.

Examining The Impact Of Racial Microaggressions And Psychological Distress In Latine Individuals: A Focus On Ptsd, Anxiety, Depression, And Stress, Melanie Garcia, Yajairy Cabrales, Miguel A. Castano, Richard Chang, Gloria Wong-Padoongpatt

Spectra Undergraduate Research Journal

Latine individuals in the United States face distinct mental health challenges due to unique stressors, including systemic racism and discrimination. While research has established that racial microaggressions—such as daily slights, insults, and invalidations—negatively impact the psychological well-being of people of color, there remains limited scholarship specifically focused on Latine communities. This study examines different types of racial microaggressions—such as invisibility, criminality, and sexualization—as predictors of psychological distress among Latine individuals. A sample of 434 Latine participants completed measures assessing their experiences with racial microaggressions, as well as symptoms of depression, anxiety, stress, and trauma. Four multiple linear regression models were …

Judging Values: Public Confidence In The Federal Courts' Approach To Religion & Morality, Clark L. Hildabrand

University of Memphis Law Review

Each American has his own story about when he learned of the COVID-19 pandemic. For many, that day was March 11, 2020.1 The NBA suspended its season.2 The World Health Organization declared COVID-19 a pandemic.3 And President Trump announced a ban on travel from European countries.4 Few, however, comprehended in March 2020 that over the next few years we would experience perhaps “the greatest intrusions on civil liberties in the peacetime history of this country.”5 “Executive officials across the country issued emergency decrees on a breathtaking scale,” “forcing people to remain in their homes” and “shutter[ing] businesses and schools, public …

Constitutional Time: The Temporal Dimension Of Precedent In Consitutional Jurisprudence, Laura A. Cisneros

University of Memphis Law Review

The role of time in constitutional precedent lies at the heart of judicial decision making. While there is a consensus on the importance of precedent, the modalities of its application remain a subject of intense debate within legal circles. At the core of this discourse lies a fundamental tension: the imperative to maintain fidelity to established precedent, thereby ensuring legal stability and predictability, versus the necessity to re-evaluate and potentially overturn precedent in response to evolving societal norms or innovative constitutional interpretations. This dichotomy presents a fundamental challenge to the Supreme Court, requiring a delicate balance between continuity and adaptability …

Judicial Sanewashing: The Roberts Court's New Canon Of Construction, Erin M. Carr

University of Memphis Law Review

In late 2024, a new expression—“sanewashing”—began circulating in the lead-up to the presidential election. The term was used to describe the media’s coverage of Donald Trump, in which journalists, in their attempt to make his often incoherent campaign and media statements seem semi-intelligible, were accused of presenting his ideas as more sensible and cogent than they actually were. While finding its contemporary relevance primarily in politics, this Article argues that the sanewashing phenomenon is not limited to the political branches of government or the reporters who cover it. Instead, the Supreme Court, under the leadership of Chief Justice John Roberts, …

Kiantone Harmonia: John Murray Spear’S Enchanted Electric Utopia, 1844-1863, Mitchell K. Jones

Communal Societies

No abstract provided.

Front Matter

Communal Societies

No abstract provided.

Review Of On The Edge Of The Future: Esalen And The Evolution Of American Culture, Ruth Baer Lambach

Communal Societies

No abstract provided.

The Concept Of Individualism In American Historical Communities, Mark Kruger

Communal Societies

No abstract provided.

Validation In The Shaker Era Of Manifestations: A Process Analysis, Glendyne Wergland

Communal Societies

No abstract provided.

Removing Barriers In Graduate Health Education For Students With Disabilities, Daniel Nuss

Pacific Journal of Health

Abstract

Students with disabilities continue to face barriers in graduate health education academic programs. As the number of enrolled students with disabilities increases, it is imperative that solutions are identified that remove these barriers to create inclusive and accessible learning opportunities. This study presents a narrative review of literature that examines current research on the topic of graduate health education and disability. Results identified four relevant themes for reducing barriers and improving inclusive access for students with disabilities. The themes include the need for modifying technical standards, faculty training, reasonable accommodations, and Universal Design of Learning (UDL). The findings are …

Data-Driven Prediction Of Superconducting Critical Temperature: A Linear And Regularized Linear Modeling Approach, Dipok Deb

Data Science and Data Mining

This study adopts a data-driven approach to estimate the critical temperature of superconducting materials using linear machine learning models. A comprehensive dataset derived from material physico-chemical properties was analyzed after systematic preprocessing and standardization. Three linear modeling strategies—Linear Regression, Ridge Regression, and Linear Regression with Subset Selection—were developed and evaluated using standard regression performance metrics. The findings demonstrate that both basic and regularized linear models can effectively capture the relationship between material features and superconducting behavior, offering robust and interpretable predictions. While feature selection enhances model transparency, it comes with a modest reduction in predictive capability. Overall, this work emphasizes …

From Prompt To Clone: Copyright Challenges In Ai Model Distillation, Claudia Philipp

UC Law Science and Technology Journal

This paper examines the legality of model distillation in the context of large language models (LLMs), where smaller “student” models are trained by mimicking the outputs of larger, proprietary “teacher” models. As artificial intelligence continues to advance rapidly, the legal framework surrounding patent, and contract law is being tested. Specifically, the paper explores whether current U.S. copyright law offers sufficient protection for frontier LLM developers and whether practices like unauthorized distillation amount to infringement. By analyzing model architecture, training data, behavioral mimicry, and reverse engineering under prevailing legal doctrines—including fair use, terms of use enforcement, and recent litigation—the paper finds …

Spatial2gwas: A Database For Linking Spatial Transcriptomic Regions With Gwas Traits, Xi Hu, Aoqi Wang, Huan Yu, Pora Kim, Xiaobo Zhou

Faculty, Staff and Student Publications

Spatial heterogeneity of gene expression within tissue regions has a critical influence on biological functions, thereby affecting disease pathogenesis. However, systematic associations between spatially resolved transcriptomes and phenotypes, especially in complex diseases, remain underexplored. Here, we developed spatial2GWAS (http://www.spatial2gwas.cn), a comprehensive resource linking spatial transcriptomic (ST) regions with GWAS traits. In the database, we collected 1196 ST slices (human and mouse) from five technologies and 812 GWAS traits spanning 18 phenotype categories and identified 29 701 ST slice-GWAS trait pairs containing 47 492 significant regions. Functional analyses reveal distinct patterns of cell type composition, gene expression, GO/KEGG pathway activation, and …

Knockrbp: An Integrated Multi-Omics Database Of Functional Perturbation Profiles For Rna-Binding Proteins, Mengyuan Yang, Jiawei Li, Jiajia Liu, Xingzheng Lu, Xiaobo Zhou, Yungang Xu

Faculty, Staff and Student Publications

RNA-binding proteins (RBPs) regulate diverse post-transcriptional processes, yet their functional impacts across multiple molecular layers remain incompletely characterized. KnockRBP (https://knockrbp.xu-bioinfo.com) is presented as a comprehensive, multi-omics database systematically cataloging regulatory changes resulting from genetic perturbation of RBPs. The resource integrates 1453 datasets from GEO, ENA, and ENCORE, encompassing RNA-seq, Ribo-seq, microRNA (miRNA)-seq, and 3'RACE-seq across 639 RBPs, 182 cell lines, and 61 diseases. Regulatory outcomes covered include alternative splicing, alternative polyadenylation, RNA editing, transcript abundance, translation efficiency, and miRNA expression, with all events processed through standardized analytical pipelines and annotated with open reading frame consequences, predicted loss-of-function impacts, and established …

Bridging The Gap: A Systematic Review Of Cyber Conflict Forecasting Models And The Case For Ai-Driven Dynamic Frameworks, Salim Arfaoui, Youssef Harrath, Omar El-Gayar

Research & Publications

Cyber conflict forecasting remains constrained by static models that overlook the integration of geopolitical context with technical indicators. This systematic literature review examines 58 studies (2010–2025) using PRISMA guidelines and an InputProcess-Output framework to classify approaches and identify key gaps. Quantitative methods dominate (67%), yet only 14% incorporate geopolitical variables, despite the political nature of cyber conflict. Major limitations include adversarial adaptation blindness (85% assume static behavior), coarse temporal granularity (72% use daily+ intervals), lack of uncertainty quantification (75%), and minimal modeling of cross-domain escalation (92% cyber-only focus). Strategic forecasting is rare, with just 14% providing long-term insights and 16% …