Generative Ai For Medical Data Augmentation: A Two-Dimensional Review Of Techniques, Modalities, And Governance Challenges, Eman Sayed, Sara M. Mosaad

Sustainable Machine Intelligence Journal

Generative Artificial Intelligence has emerged as a transformative tool in healthcare by addressing persistent limitations in medical data availability, including annotation scarcity, privacy restrictions, and demographic underrepresentation. Instead of relying solely on real-world samples, generative models synthesize clinically realistic data that support model robustness, simulate rare conditions, and improve representation across patient groups. This review presents a comprehensive synthesis of four widely adopted generative model classes: Generative Adversarial Networks, Variational Autoencoders, Diffusion Models, and Transformer-based architectures. These models are examined across four key clinical data categories, including radiological imaging, structured electronic health records, physiological time series, and free-text clinical narratives. …

Ws-Fall: Fall Detection Attention-Based Approach Using Wifi And Inertial Data Modalities, Alaa Elmor, Bilal Arain

Sustainable Machine Intelligence Journal

According to the World Health Organization, 37 million falls occur every year which leads to sever injuries that require medical intervention. In addition, more than 600,000 people end up dying due to falls making them the second cause of accidental injury fatalities worldwide. Specifically, the elderly are more prone to fatal falls. Therefore, fall detection systems are needed to allow medical professionals to intervene in such cases. Various wearable and non-contact fall detection devices have been developed recently. Since non-contact Wi-Fi-based methods are widely available and non-intrusive, they are gaining popularity. In this paper, we propose a state-of-the-art fall detection …

Quaker Campus, September 18, 2025 (Vol. 24, Issue 2), Whittier College

Quaker Campus

No abstract provided.

September 18, 2025, The Daily Mississippian

Daily Mississippian (all digitized issues)

No abstract provided.

Development Of A Novel Algorithm For Tip Fold-Over Detection In Cochlear Implants And Evaluation On Bench And Multiple Clinical Data Bases, Mehrangiz Ashiri, Tony Spahr, Azret Botash, Ashish Mehta, Jordan J Varghese, Craig A Buchman, Andrea J Defreese, Patrick Boyle, Matthew Miller, Syed F Ahsan, Christopher Danner, Kyle P Allen, Loren Bartels, Kanthaiah Koka

2020-Current year OA Pubs

No abstract provided.

Leading Through Crisis: Lessons In Leadership From New Jersey Administrators During The Covid-19 Pandemic, Alicia Subervi

Seton Hall University Dissertations and Theses (ETDs)

ABSTRACT

This qualitative comparative case study examined the lived experiences of building- and district-level administrators in a single New Jersey school district as they navigated the unprecedented challenges of the COVID-19 pandemic. The study explored how administrators perceived and responded to disruptions, how responses evolved over time, lessons learned, and the ways these insights are being applied in schools today. Data were collected from demographic and technology surveys, two rounds of semi-structured interviews, and a targeted review of district documents. Analysis was conducted using a combination of a priori and emergent coding to identify 27 codes organized into nine overarching …

Mymoney: A Program That Leverages Digital And Artificial Intelligence Tools For Improving The Financial Wellbeing Of Hispanic Families, Luisa Blanco, Kamila Campos, Jessica Gonzalez, Jorge Macias

School of Public Policy Working Papers

Abstract: Our Community-Based Digital Intervention (CBDI) MyMoney was designed to meet the informational needs and promote behavioral change among Hispanic adults. We leverage Digital and Artificial Intelligence (DAI) tools to provide participants access to content that is linguistically and culturally tailored and structured to be delivered in short, accessible modules. MyMoney program provided an introductory experience to financial education with a mobilephone based approach, offering a four-week experience for improving money management skills. We conducted an extensive quantitative and qualitative data analysis of participants’ and stakeholders’ program experience and perspectives, which provides important insights for the design, evaluation, and implementation …

Collecting And Sharing Person-Centered Ai Clinical Summaries Across Frailty Services Provided By The National Health Service And Voluntary, Community, And Social Enterprise: Protocol For A Co-Design And Feasibility Study, Kieran Green, John Downey, Sheena Asthana, Oscar Ponce Ponte, Joanne Watson

School of Nursing and Midwifery

Background:Due to its association with multimorbidity, frailty gives rise to multidimensional needs for different services. Too often, patient preferences and service encounter information are not adequately shared.Objective:This developmental study aims to co-design, collect, and analyze encounter data from multiple community and primary-based multidisciplinary teams (MDTs) providing services for people with frailty to develop prototype large language models that can generate clinical and person-centered care summaries.Methods:Engaging stakeholders in 2 primary care networks, we will co-design the large language model to ensure it meets local needs and preferences as well as infrastructure, information governance, and regulation requirements. General practitioners will identify 50 …

Editorial: Wearable Technology: The New Ornament Of Network Physiology, Ankita Srivastava, Santosh Kumar Yadav

Department of Pathology, Anatomy, and Cell Biology Faculty Papers

Introduction: The landscape of personal health monitoring is rapidly transforming, driven by advances in wearable technology. These devices, designed to be worn comfortably on the body, can capture real-time physiological data often difficult to obtain in traditional clinical settings. What began as a simple device for activity trackers for walking steps, heart rate, and blood oxygen saturation has evolved to play a crucial role in monitoring more complex physiological parameters critical for chronic disease management and preventative health.

The integration of artificial intelligence (AI) is further expanding the potential of wearable devices, enabling deeper analysis and predictive modeling of the …

Perceived Knowledge And Confidence Of Beta-Lactam Allergy Management Among Pharmacy Students On Advanced Pharmacy Practice Experiences., Jamie L Wagner, David R Oliver, Bruce M Jones, Kayla R Stover, Misha T Watts, Wesley D Kufel, Lena Mcdowell, Edo-Abasi U. Mcgee, T Lynn Stevenson, Christopher M Bland

PCOM Scholarly Works

Pharmacist engagement in allergy clarification has demonstrated increased appropriate antibiotic use. The purpose of this study was to determine the knowledge and confidence of pharmacy students in their final professional year regarding beta-lactam (BL) allergies. Students from 5 schools of pharmacy participated in a 22-question survey pertaining to experience with drug allergies, knowledge of BL allergies, and confidence regarding BL allergy management. Data were summarized among all respondents and further analyzed by infectious disease (ID) interest. A total of 160/521 students responded to the survey (31%). Most students (73%) had no course dedicated to drug allergies; however, 84% indicated the …

September 18, 2025, James Madison University

The Breeze, 2020-

The Breeze is the student newspaper of James Madison University in Harrisonburg, Virginia.

Celebrating Children And Young People’S Nursing Conference, 2025 ‘Our Present, Our Future: Keynote Presentation: The Fit4cyp Project, Matt Carey, Sarah Neill

School of Nursing and Midwifery

Northumbria University is delighted to be hosting this national conference in partnership with the Great North Childrens Hospital (Newcastle Hospitals NHS Foundation Trust), Northumbria Healthcare NHS Foundation Trust (Childrens Nursing Services) and South Tyneside and Sunderland NHS Foundation Trust (Childrens Nursing Services).Conference aim:This conference will provide one of the largest national and international forums for children and young people’s (CYPs) nurses to collaborate and network on a range of contemporary topics relevant to their practice. A broad range of activities is planned with the aim to connect, inspire, and educate, encouraging thought provoking exchanges. Delegates will be offered the opportunity …

Addressing Food System Determinants Of Health Inequalities In Urban Environments:: Learnings From The Foodsequal And Foodsequal-Health Projects, Carol Wagstaff, Clare Pettinger

School of Health Professions

Diet is just one social determinant of health, with obesity and diet-related illness as leading causes of premature deaths and disability in the UK. People living in deprived areas of the UK are more likely to experience poor health outcomes, linked to many social determinants of health such as diet, housing, employment, education, power and discrimination and psycho-social factors such as isolation, quality of social network and perceived level of control. While socio-economic deprivation is a key risk for health inequalities, protected characteristics, vulnerable groups and geographical factors also indicate populations at risk of experiencing health inequalities. In this ‘opinion …

Efficacy And Safety Of Rigosertib In Patients With Recessive Dystrophic Epidermolysis Bullosa-Associated Advanced/Metastatic Cutaneous Squamous Cell Carcinoma, Martin Laimer, Andrew P. South, Elisabeth Mayr, Sophie Kitzmueller, Lauren Banner, Michael Alexander, Linda Hosler, Henry Yang, Matthew Parris, Meena Arora, Georg Zimmermann, Gregor Schweighofer-Zwink, Johann Bauer, Neda Nikbakht

Department of Dermatology and Cutaneous Biology Faculty Papers

BACKGROUND: Recessive dystrophic epidermolysis bullosa (RDEB) is an epithelial fragility disease primarily affecting the skin and is caused by variants in the COL7A1 gene. Individuals with RDEB are predisposed to develop highly aggressive cutaneous squamous cell carcinomas (SCCs) which are the most common cause of premature death. There is a lack of effective prevention or treatment options for patients with RDEB-SCC.

OBJECTIVES: To evaluate the antitumour activity and safety of the polo-like kinase-1 (PLK1) inhibitor, rigosertib, two investigator-initiated open-label, single-arm phase II studies were opened in Europe and the USA and enrolled five patients with RDEB diagnosed with locally advanced …

Disparities In Liver Transplantation For Metabolic Dysfunction-Associated Steatohepatitis-Associated Hepatocellular Carcinoma, David W Victor, Sudha Kodali, Mazen Noureddin, Elizabeth W Brombosz, Analisa Lopez, Tamneet Basra, Edward A Graviss, Duc T Nguyen, Ashish Saharia, Ashton A Connor, Maen Abdelrahim, Yee Lee Cheah, Caroline J Simon, Mark J Hobeika, Constance M Mobley, R Mark Ghobrial

Faculty, Staff and Students Publications

Background: Metabolic dysfunction-associated steatohepatitis (MASH) is increasingly common, as is hepatocellular carcinoma (HCC) in the background of MASH. Liver transplantation (LT) provides superior long-term survival for patients with unresectable MASH-HCC, but not all patients have equal access to transplant. MASH-HCC disproportionately affects Hispanic patients, but minorities are less likely to undergo LT for HCC. Additionally, females also undergo LT at lower rates than males.

Aim: To investigate whether race/ethnicity and sex affect LT waitlist outcomes.

Methods: Records of adults with MASH-HCC in the United States Organ Procurement and Transplantation Network database listed for LT between 1/2015 and 12/2021 were analyzed. …

Uav-Based Transport Management For Smart Cities Using Machine Learning, Sweekruthi Balivada, Jerry Gao, Yuting Sha, Manisha Lagisetty, Damini Vichare

Faculty Research, Scholarly, and Creative Activity

Highlights: What are the main findings? A smart transport management system based on UAV data integrating advanced machine learning and deep learning techniques is proposed to enhance road anomaly detection and severity classification. The system employs a comprehensive multi-stage framework, integrating a high-precision obstacle detection model, six specialized severity classification models, and an aggregation model to deliver accurate anomaly assessment, enabling strategic, data-driven road maintenance and enhanced transportation safety. What is the implication of the main finding? A scalable and efficient solution is proposed to enhance road safety and optimize transportation management through intelligent anomaly detection and severity assessment. This …

Kenyon Collegian - September 18, 2025

The Kenyon Collegian

No abstract provided.

Gc-Ms-Based Metabolomics For Understanding The Metabolite Profile Of Mopane Worm (Gonimbrasia Belina) And Sorghum (Sorghum Bicolor L), Mpho Sebabiki Maleke, Tumisi Beiri Jeremiah Molelekoa, Jonathan Wilkin, Xi Feng, Moira Ledbetter, Oluwafemi Ayodeji Adebo

Faculty Research, Scholarly, and Creative Activity

Edible insects are nutritious, having high levels of protein, essential amino acids, healthy fats, vitamins, and minerals. In areas where sorghum is a primary crop, mixing this gluten-free grain with protein-rich insect powder provides a novel approach to making nutrient-rich products. Understanding the sorghum and mopane worm flours' metabolomic changes during bioprocessing can however, enhance their nutritional value and food safety. The research investigated metabolite compounds that are found in raw and processed (fermented, malted (sorghum), and ultrasonicated) mopane worms and sorghum. In the study, sorghum grains were traditionally fermented and malted at 35°C for 48 h and ultrasonicated for …

Socio-Economic Risk Of Rising Compound Precipitation-Wind Extremes In San Francisco Bay Area, Nikhil Kumar, Gregory Brian Pasternack, Yufang Jin, Serena Alexander, Zhihao Wang, Costanza Rampini, Rune Storesund, Chris Lim, Stephanie Moreno, Igor Lacan

Faculty Research, Scholarly, and Creative Activity

Compound precipitation-wind extremes (CPWEs) pose significant socio-economic challenges in urban areas, with the most severe impacts often felt by vulnerable populations. While CPWE studies have often focused on large-scale assessments, localised urban contexts, at a scale of a city and its suburban surroundings, remain understudied, particularly in terms of how CPWEs might differentially impact different socio-economic communities. This study aims to advance understanding of how CPWEs interact with social vulnerability at a localised scale, using the San Francisco Bay Area (SFBA)—a global hotspot for CPWEs with diverse climates, physiography, and socio-economic factors—as a test case. Daily precipitation and wind speed …

Allosteric Control Overcomes Steric Limitations For Neutralizing Antibodies Targeting Conserved Binding Epitopes Of The Sars-Cov-2 Spike Protein: Exploring The Intersection Of Binding, Allostery, And Immune Escape With A Multimodal Computational Approach, Mohammed Alshahrani, Vedant Parikh, Brandon Foley, Gennady M. Verkhivker

Mathematics, Physics, and Computer Science Faculty Articles and Research

Understanding the atomistic basis of multi-layer mechanisms employed by broadly reactive neutralizing antibodies of the SARS-CoV-2 spike protein without directly blocking receptor engagement remains an important challenge in coronavirus immunology. Class 4 antibodies represent an intriguing case: they target a deeply conserved, cryptic epitope on the receptor-binding domain yet exhibit variable neutralization potency across subgroups F1 (CR3022, EY6A, COVA1-16), F2 (DH1047), and F3 (S2X259). The molecular basis for this variability is not fully understood. Here, we employed a multi-modal computational approach integrating atomistic and coarse-grained molecular dynamics simulations, binding free energy calculations, mutational scanning, and dynamic network analysis to elucidate …

Validity Of Cephalosporin Skin Prick Testing In Children With Self-Reported Cephalosporin Allergy: A Cross-Sectional Study, Bashar Talib Huweidy, Bashar I. Mohammed, Jessar Saleem Hasan, Ghaith Wadhah Hamdoon

Al-Ameed Journal for Medical Research and Health Sciences

Background: A comprehensive study evaluated the risk of nonunion per fracture in a population of over four million adults and determined that rates vary depending on patients' risk factors, nonunion rates can reach in excess of 10%. This study aims to address the issue by scrutinizing the demographic characteristics of patients, pinpointing the biological risk factors for long bone nonunion and evaluating the nonunion management effectiveness. Methods: This analytical, observational retrospective cohort study used medical record data from a regional hospital in Surabaya, Indonesia (2020–2023), involving 147 eligible patients. Data were analyzed using logistic regression with a significance level of …

Smartphone-Based Ecological Momentary Assessment (Ema) Tool To Collect Momentary Psychological Data From Older Adults With Mild Cognitive Impairment (Mci): A Feasibility And Acceptability Study., Rose Lin

Sigma Foundation for Nursing Research Grant Reports

Using a user-centered approach, the specific aim is to develop a feasible and acceptable smartphone-based EMA protocol to collect real-time psychological data, including momentary emotions, perceived stress levels, and environmental stressors from individuals with MCI in their everyday environments. Such a tool is a crucial step that enables testing of the theoretical framework underlying neuropsychiatric symptoms (NPS) in MCI, a significant and prevalent risk factor known to speed up progression to dementia. We will evaluate the feasibility and acceptability of this tool by examining adherence metrics (completion rate, compliance rate, response latency, number of technical support requests), and conducting qualitative …

Artificial Intelligence And Collaborative Learning: Impacts On Creativity, Critical Thinking, And Problem-Solving, Abderrahim Agnaou, Hayat El Asri

Journal of Educational Research and Practice

The rapid development of large anguage models (LLMs) has sparked growing interest in their potential to transform education. This study explores how LLMs influence collaborative learning, focusing on student creativity, critical thinking, problem-solving, and collective intelligence. Specifically, it investigates whether artificial intelligence (AI)–assisted group work enhances or hinders these aspects of the learning process. We used a mixed-methods approach, combining quantitative and qualitative data from surveys, structured interviews, and analysis of student project outputs. We collected data from 102 undergraduate students via questionnaires and 15 follow-up interviews, which offered deeper insight into their experiences using LLMs in team-based projects. The …

Seeing Google At 25, Paul A. Soukup S.J.

Communication Research Trends

Seeing Google at 25

1. History . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4

A. Fits and starts to dominating the world . . . . . 5

2. Google in the Eyes of Scholars: Google Services 8

A. Digital library . . . . . . . . . . . . . . . . . . . . . . . . . 8

B. Google Earth and Google Maps . …

Managing Digital Visibility, Ben Medeiros

Communication Research Trends

No abstract provided.

Charting A Constellation Of Rims Social Interoperability: Stakeholder Engagement At Two Midwestern Universities, Mark Zulauf, Elizabeth Schwartz

International Forum on Expert Finder Systems

At the heart of a valued research information management (RIM) service is a well-curated set of easily accessible and trustworthy data that describe an institution's research activity. The cultivation of those data into beneficial use cases requires ongoing collaboration among myriad stakeholders from within the research development community (librarians, faculty administrators, communications specialists, technology licensing agents, facility and equipment managers, IT personnel, etc.).

This presentation will explore the social interoperability involved in nurturing the library-managed RIM services at two major midwestern research universities—from the partnerships involved in unifying previously siloed sources of data to the use cases supported in each …

Gaming The Endowment Tax, Christopher J. Ryan Jr., Christopher R. Marsicano, Ann F. Bernhardt, Rylie C. Martin

Florida Tax Review

The 2017 law known as the Tax Cuts and Jobs Act (TCJA) enacted a tax on private, non-profit college and university endowments for the first time. Institutions with at least 500 tuition-paying students and endowments of $500,000 or greater per student now have to pay a 1.4% tax on their endowments. But like all taxpayers, colleges and universities may be tax averse or seek reductions in their tax burdens. That is, colleges and universities may try to avoid the tax through taking action to ensure they do not meet the threshold. Such actions include increasing the size of their student …

Capitalizing Carbon: The Taxation Of Carbon Credits In Voluntary Carbon Markets, Levi Loveless

Florida Tax Review

This Article explores the evolving intersection of carbon offset credits, U.S. federal tax law and clean energy tax incentives, emphasizing the complexities faced by businesses in navigating these areas. As carbon offset credits gain prominence in corporate sustainability strategies, their tax treatment remains ambiguous, with companies encountering varying interpretations under sections 162 and 263.

The analysis in Part II suggests that carbon offset credit purchases are likely to be generally capitalized, subject to rare exceptions. This conclusion is drawn from notable legal precedents, including Welch v. Helvering, Jenkins v. Commissioner and INDOPCO v. Commissioner. These cases provide insight …

A Delicate Balance: Antibiotic Allergy, Renal Infection, And Diabetic Ketoacidosis, Aun Ali Bangash, Muhammad Ali Bangash, Ruben Meza Martinez

Research Colloquium

Introduction: Acute pyelonephritis is a bacterial infection of the renal parenchyma and is most commonly caused by Escherichia coli. It presents with systemic and genitourinary symptoms such as fever, flank pain, and urinary abnormalities, which include increased urinary frequency and burning sensation upon urination. Timely antibiotic therapy is necessary to avoid complications like renal abscesses or urosepsis. Empiric treatment often involves third-generation cephalosporins such as ceftriaxone because of their efficacy and renal penetration. However, in patients allergic to ceftriaxone, an allergy seen in approximately 1–2% of cases, alternative regimens need to be brought into the picture. Levofloxacin, a fluoroquinolone, is …

Assessing The Use Of Marker-Less Motion Capture Systems For Neurological Disorders In Indoor Vs Outdoor Settings., Anjana Ganesh, Kelsey Baker

Research Colloquium

Background: Marker-less motion capture systems have improved the assessment of human movement by allowing for a non-invasive, affordable, quantitative data collection useful in clinical settings. However, their use in real-world community care settings is largely underexplored, presenting a unique opportunity to bridge the gap between controlled laboratory environments and the complexity of providing care in diverse, everyday contexts. This systematic review examines the differential use of MMC systems across real-world indoor environments (clinics, homes, living labs) and outdoor settings (public walkways, community spaces), with a focus on their application to neurological disorders such as stroke and neurodegenerative diseases.

Methods: …