Digital Commons Network^™

Compressed But Deadly: A Case Of Hydrofluorocarbon Intoxication Leading To Cardiac Arrest, Ahmed Qaedi, Hope Lackey, Jussi Niiranen

UAB Huntsville Research Day - All Presentations

2026 clinical vignette poster

A Case Of Nocardia Brain Abscess With Pancytopenia, Ahmed Qaedi, Noah Blackwood, Farrah Ibrahim, Ali Hachem

UAB Huntsville Research Day - All Presentations

2026 clinical vignette poster

Trousseau Syndrome In Ovarian Carcinoma: A Thrombotic Storm, Ahmed Qaedi, Noah Blackwood, Hinal Rathi, Ahmed Abdelhaleem, John Fanning

UAB Huntsville Research Day - All Presentations

2026 clinical vignette poster

From Crisis To Recovery: A Case Of Methotrexate Induced Seizures And Acute Renal Failure, Ahmed Qaedi, Charlotte Taus, Rosa Michel Ortega, Ali Hachem

UAB Huntsville Research Day - All Presentations

2026 clinical vignette poster

Axillary Neuroendocrine Carcinoma: Unmasking A Puzzling Mass, Ahmed Qaedi, Chelsea Palmer

UAB Huntsville Research Day - All Presentations

2026 clinical vignette poster

A Gut-Wrenching Battle Within: An Unusual Case Of Pancreatic Desmoid Fibromatosis, Ahmed Qaedi, Ali Hachem, Farrah Ibrahim

UAB Huntsville Research Day - All Presentations

2026 clinical vignette poster

A Peculiar Side Effect From A Common Medication: Nifedipine-Induced Gingival Hyperplasia, Ahmed Qaedi, Allison Estep, Melanie Montgomery

UAB Huntsville Research Day - All Presentations

2026 clinical vignette poster

Biphasic Synovial Sarcoma: A Spark In A Tinderbox, Ahmed Qaedi, Hope Lackey, Claudia Warden, Amin Demerdash, Srilakshimi Bathini

UAB Huntsville Research Day - All Presentations

2026 clinical vignette poster

Myelin Oligodendrocyte Glycoprotein Antibody-Associated Disease Incidentally Diagnosed During Post-Stroke Rehabilitation: A Case Report, Ching-Yun Liao, Chung-Hao Chao, Chih-Chin Hsu

Rehabilitation Practice and Science

背景

髓鞘少突膠質細胞糖蛋白抗體相關疾病（MOGAD）是一種罕見的自體免疫發炎性疾病，主要涉及中樞神經系統（CNS），其主要特徵是視神經、腦部和脊髓脫髓鞘。我們報告一例最初疑似復發性中風的病例，該病例在住院中風復健期間最終確診為MOGAD。

病例概要

49歲女性，左側大腦半球梗塞，在中風後復健期間出現多次右側肢體肌力下降伴隨失語症。這些神經功能波動偏離了典型卒中的預期復健軌跡。卒中發作兩個月後行腦部磁振造影（MRI）檢查，結果顯示右側內囊後肢、腦橋及C1脊髓出現多處新發病灶。後續血清學檢查顯示抗髓鞘少突膠質細胞糖蛋白（MOG）IgG抗體陽性，而水通道蛋白4（AQP4）抗體陰性，確診為MOGAD。患者接受了甲潑尼龍治療及充分的復健治療，追蹤期間肌力顯著改善，未見脫髓鞘病灶復發。

結論

本案例凸顯了復健科醫師在早期發現類似中風的神經發炎性疾病的關鍵作用。復健科醫師處於獨特的領先地位，能夠透過持續的功能監測識別「危險信號」；任何偏離預期復健路徑或無法解釋的神經功能波動都應促使醫生進行進一步檢查。早期識別此類非典型模式，並及時進行免疫治療和多學科康復，可以預防永久性功能衰退，並優化長期預後。

Beyond The Numbers: A Mixed-Method Evaluation Of Faculty, Peer, And Self-Assessment Using Rubrics In Blood Pressure Determination Among Phase 1 Mbbs Students, Abeetha S, Chitra M, Suba A, B. Dharani, Sadhana S

Health Professions Education

Background: Competency-Based Medical Education (CBME) emphasizes formative, learner-centred assessment. Blood pressure (BP) measurement, a core clinical skill, integrates knowledge, skills, communication, ethics, and attitude. While rubrics are widely used to standardize evaluation, their utility in triangulating faculty, peer, and self-assessment in BP measurement remains underexplored.

Aim: To evaluate the reliability and educational value of rubric-based faculty, peer, and self-assessment in BP determination among Phase 1 MBBS students using a mixed-methods approach.

Methods: A cross-sectional mixed-methods study was conducted among 98 Phase 1 MBBS students in a South Indian medical college. Forty-nine students performed BP measurement, assessed simultaneously by 5 faculty …

The Need For A Validated Psychometric Scale To Assess Multidimensional Language Barriers In Medical Education Among Arabic Speakers, Ali Alfaifi, Nasser Shubayr

Health Professions Education

Language barriers significantly hinder academic performance, psychological well-being, and clinical communication skills of Arabic-speaking healthcare students educated through English-medium instruction. Although existing instruments focus on clinical communication—often among physicians—critical dimensions such as academic challenges and psychological impacts remain underassessed, and tools rarely address disciplines beyond medicine (e.g., nursing, pharmacy, radiology). Studies in Arabic-speaking contexts typically employ author-developed or adapted questionnaires lacking rigorous validation. This short communication underscores the need for a comprehensive, psychometrically sound scale tailored to Arabic-speaking healthcare students. Proposed dimensions include Language Proficiency, Academic Impact, Psychological Impact, and Clinical Communication. Validation will involve systematic item development, exploratory and …

From Clinic To Code: Using Clinician Insights To Develop A Framework For Fair And Representative Datasets In Women’S Health Ai, Andrea Heaney, Emma Murphy, Eugene Hickey

Research Outputs: 2025-Present

The development of Artificial Intelligence (AI) in healthcare is largely dependent on the quality of medical datasets. However, these datasets often fail to accurately represent women (and those seen as women) due to historic, implicit and biological biases. This under-representation can lead to biased, inequitable and even harmful models. Building upon the findings of previously conducted qualitative semi-structured semantic interviews with clinicians on their perceptions of women’s health, this paper presents a framework for translating qualitative findings to dataset characteristics via operationalisation. This framework outlines the key characteristics and considerations a dataset should include or consider to more accurately represent …

2026 Nhmgaa Project Application Form, Ruth Smith

UNH Cooperative Extension

No abstract provided.

What Is Nh 4-H Agri-Science Quiz Bowl, Hannah Majewski

UNH Cooperative Extension

No abstract provided.

Nh Youth Code Of Conduct, Hannah Majewski

UNH Cooperative Extension

No abstract provided.

Your Wellness Wheel [Activity], Alyssa Lemmermann, Kendra Lewis

UNH Cooperative Extension

No abstract provided.

Marshall Amplification V. Xingrunshangmao, Northern District Of Illinois

Historical and Topical Legal Documents

No abstract provided.

White V. Paypal, Northern District Of California

Historical and Topical Legal Documents

No abstract provided.

Netchoice V. Uthmeier, Northern District Of Florida

Historical and Topical Legal Documents

No abstract provided.

Lee V. Sbs, Central District Of California

Historical and Topical Legal Documents

No abstract provided.

P.F. V. Meta Platforms, California Superior Court

Historical and Topical Legal Documents

No abstract provided.

Haynie V. Google, California Superior Court

Historical and Topical Legal Documents

No abstract provided.

Mapping Historical Neighborhoods With Geospatial Viewshed Buffers, James B. Townsend

Dissertations, Master's Theses and Master's Reports

The concept of neighborhood has been long studied with little agreement beyond the notion that neighborhoods are somewhat self-contained areas within a wider urban environment. Despite the lack of a finite definition, there is wide agreement of the importance of studying population dynamics at the neighborhood scale. Many attempts have been made to spatially define, measure, and quantify contemporary neighborhoods, but less attention has been given to methods to spatially define historical neighborhoods. In this paper, we utilize a historical spatial data infrastructure for the city of London, Ontario to develop a viewshed methodology that recognizes that ‘neighborhood’ is unique …

Left-Hand Technique And The Limits Of The Possible, Ricardo Iznaola

Soundboard Scholar

This article conceptualizes classical guitar left-hand technique through a physiomechanical framework that places coordinated movement—particularly shifting—at the center of technical practice. Challenging traditional positional doctrines that privilege static hand forms and digital independence, the author argues that such approaches often disregard the functional anatomy of the limb, resulting in inefficiency, unnecessary tension, and potential injury.   Advancing the principle that form must follow function, the study proposes shifting as the fundamental technical category governing all left-hand procedures. A systematic typology—interpositional, intrapositional, and compound shifting—serves as the basis for analyzing arm-wrist-hand coordination across diverse technical contexts, including extensions and contractions, barrés, slurs, …

Associations Between Contralesional Neuroplasticity And Motor Impairment Through Deep Learning-Derived Mri Regional Brain Age In Chronic Stroke (Enigma): A Multicohort, Retrospective, Observational Study, Gilsoon Park, Mahir Khan, Justin Andrushko, Nerisa Banaj, Michael Borich, Lara Boyd, Amy Brodtmann, Truman Brown, Cathrin Buetefisch, Adriana Conforto, Steven Cramer, Michael Dimyan, Martin Domin, Miranda Donnelly, Natalia Egorova-Brumley, Elsa Ermer, Wuwei Feng, Fatemeh Geranmayeh, Colleen Hanlon, Brenton Hordacre, Neda Jahanshad, Steven Kautz, Mohamed Salah Khlif, Jingchun Liu, Martin Lotze, Bradley Macintosh, Feroze Mohamed, Jan Nordvik, Fabrizio Piras, Kate Revill, Andrew Robertson, Christian Schranz, Nicolas Schweighofer, Na Jin Seo, Surjo Soekadar, Shraddha Srivastava, Bethany Tavenner, Gregory Thielman, Sophia Thomopoulos, Daniela Vecchio, Emilio Werden, Lars Westlye, Carolee Winstein, George Wittenberg, Jennifer Ferris, Chunshui Yu, Paul Thompson, Sook-Lei Liew, Hosung Kim

Department of Radiology Faculty Papers

BACKGROUND: Stroke leads to complex chronic structural and functional brain changes that specifically affect motor outcomes. The brain predicted age difference (PAD) has emerged as a sensitive biomarker of both sensorimotor and cognitive function after stroke. Our previous study showed a higher global brain PAD associated with poorer motor function after stroke. However, the association between local stroke lesion load, regional brain age, and motor impairment is unclear. This study aimed to investigate the associations between focal lesion damage, regional brain PAD in both hemispheres, and motor outcomes in chronic stroke, and to identify key predictors of motor impairment.

METHODS: …

Blockchain-Based Nostrification: A Privacy-Preserving Framework For Documents Verification, Mohamad Badra, Rouba Borghol

All Works

Many employers and institutions will not complete a hire until they verify a candidate's foreign qualifications. This nostrification step exists for a simple reason: they need to know that certificates, medical records, financial papers, and other official documents are real and not forged. For years, signatures and stamps were enough. But the shift to online applications changed the game. Today, anyone can upload a polished PDF, and with basic editing tools, fake documents can be created in minutes. The old system no longer protects anyone. On the other hand, the blockchain offers a stronger and more practical solution. Instead of …

Adaptive Multi-Agent Learning For Infrastructure-Aware Its: The Imer Data-Processing Approach, Mayssa Hamdani, Nafaa Jabeur, Ansar Yasar, Fatma Outay, Li Li

All Works

The performance of Intelligent Transportation Systems (ITS) critically depends on accurate and efficient road-condition monitoring. This paper presents IMER (Inspect–Map–Eliminate–Reduce), a novel AI-driven data-processing framework that extends the traditional Map-Reduce paradigm for infrastructure maintenance. IMER integrates confidence-based validation, redundancy elimination, and severity prioritization to enhance data quality and decision efficiency. Implemented within a multi-agent architecture, IMER enables autonomous agents to inspect, classify, and fuse multi-source road data in real time, supporting predictive and adaptive maintenance planning. Simulation results using augmented pothole datasets demonstrate a 39.9 % reduction in redundant reports and 39.8 % fewer false positives. These findings highlight IMER’s …

Human Factors In Visual Attention: Gender Differences In Engagement With Male-Oriented Ads, Mohamed Basel Almourad, Emad Bataineh, Zelal Wattar, Mohammed Hussain

All Works

In today's competitive market, it is increasingly important to understand how visual design shapes customer behaviour. This study examines the decision drivers influencing female customers' purchase choices when buying male-oriented products as gifts, identifying the visual components of advertisements that attract them by analysing the relationship between purchase intention and visual attention. Results show that participants with higher purchase intent focused more on product imagery and branding, indicating that visual appeal, perceived quality, and brand familiarity significantly guide their decisions, with brand awareness speeding up decision-making by reducing the need for repeated visual checks. Conversely, those with low purchase intent …

Exploring The Potential Of Renewable Energy For Sustainable Mobility: A Simulation- Based Study Of Hydrogen Vehicle Penetration In Oman’S Road Network, Siham Farrag, Tarek R. Sheltami, Fatma Outay, Ansar Ul Haque Yasar

All Works

Hydrogen fuel is gaining attention as a promising zero-emission energy source, aligning with global sustainability goals and supporting the transition to zero carbon emissions. This study examines the potential of using hydrogen as an alternative fuel for sustainable mobility in Muscat, Oman. We developed an integrated modelling framework that combines microscopic traffic simulation, energy demand modeling, refueling infrastructure station’ estimation, and well-to-wheel (WTW) emissions evaluation. A microscopic simulation software (SUMO) was applied to evaluate the penetration rate of hydrogen-powered vehicles (0%, 20%, 40%, 60%) with different hydrogen production pathways. Results indicate that with a 60% penetration of green hydrogen, total …

Smart Health Care Application For Predicting Complications Risk In Type 2 Diabetes Management Using Personalized Digital Twins: A Focus On Early Intervention And Prevention Strategies, Haifaa Alkaabi, Ahed Abugabah

All Works

The study examined the application of Personalized Digital Twins (PDTs) to prevent complications during the management of Type 2 Diabetes, especially in early intervention and prevention plans. Based on a high-quality dataset related to the CDC Behavioral Risk Factor Surveillance System (BRFSS) data, we tested multiple predictive models such as the Random Forest, Gradient Boosting machines (GBM), and Extreme Gradient Boosting (XGBoost). We developed a composite risk indicator from established clinical risk factors (hypertension, dyslipidemia, elevated BMI) to stratify complication risk. The Random Forest model achieved 99% accuracy (AUC: 0.98) at the population-level risk classification. The GBM model was optimized …