Digital Commons Network^™

Nanofibrous Materials And Nanoparticles For Combating Antimicrobial Resistance: Synthesis, Integration, And Translational Perspectives, Rewati Raman Ujjwal, Ashish Dilip Sutar, Rahul Shukla, Gymama Slaughter

Center for Bioelectronics Publications

Antimicrobial resistance (AMR) is a major global health challenge driven by mechanisms such as biofilm formation, efflux pumps, and genetic mutations. Nanoparticulate and fibrous materials have emerged as promising strategies to overcome these limitations through multimodal antimicrobial action and controlled drug delivery. This review highlights recent advances in electrospun nanofibrous systems, including natural and synthetic polymer-based scaffolds, stimuli-responsive nanofibers, and functionalized patches. Nanoparticle-loaded nanofiber systems demonstrate enhanced performance, including bacterial eradication, sustained drug release, and significant biofilm disruption. Multifunctional systems combining antimicrobial, antioxidant, and immunomodulatory properties further show synergism. Emerging innovations, such as piezoelectric and smart sensing systems, enable self-powered …

Linker-Free Gold-Sputtered Tapered Optical Fiber Plasmonic Sensors For High-Sensitivity Refractive Index Detection In Microfluidic Platforms, Erem Ujah, Gymama Slaughter

Center for Bioelectronics Publications

Gold-sputtered tapered optical fiber (Au-TOF) sensors were developed for high-sensitivity refractive-index (RI) detection using aqueous glucose standards spanning 1.33–1.41 RIU (0–50% w/v). The sensors were fabricated using a reproducible workflow combining flame-brushing tapering, plasma surface preparation, and rotational magnetron sputtering, enabling azimuthally uniform gold coatings without the use of thiol or sulfur linker chemistries. Two sputtering durations (24 s and 30 s) were investigated to examine thickness-dependent plasmonic coupling and sensing performance. Optical measurements were conducted using a broadband supercontinuum source and compact spectrometer within a 20 µL microfluidic sensing chamber. Increasing glucose concentration produced a monotonic decrease in transmission …

Electrochemical Hemoglobin Biosensors For Point-Of-Care Diagnostics, Ashwini Dantanarayana, Gymama Slaughter

Center for Bioelectronics Publications

Hemoglobin (Hb) and its glycated variant (HbA1c) are essential clinical biomarkers for diagnosing anemia, acute hemorrhage, and long-term glycemic control. The growing demand for decentralized point-of-care (POC) testing has accelerated the development of rapid, inexpensive, and portable electrochemical sensing platforms. These technologies exploit the intrinsic redox activity of the heme prosthetic group, yet achieving efficient direct electron transfer (DET) remains a fundamental challenge because the electroactive iron center is deeply embedded within the globin structure. This review critically examines recent advances in electrochemical Hb sensing, tracing the evolution of electrode architectures from conventional carbon substrates to nanostructured materials, including graphene, …

Engineering Electrospun Pvdf Nanofibers For Next-Generation Wearable Bioelectronics, Reshmi Banerjee, Gymama Slaughter

Center for Bioelectronics Publications

Electrospun poly(vinylidene fluoride) (PVDF) and P(VDF-TrFE) nanofibers offer a mechanically flexible, high-surface-area platform for wearable bioelectronics, including piezoelectric sensing and self-powered operation. This review establishes a process–structure–property–performance framework for engineering electrospun PVDF- and P(VDF-TrFE)-based wearable systems. Relationships amongst precursor composition, electrospinning parameters, fiber morphology and alignment, crystalline phase formation, dipole orientation, and device-level piezoelectric performance are examined. Electrospinning is compared with other established fabrication methods including solution casting, spin coating, melt processing, phase inversion, and printing in terms of electroactive β-phase fraction, flexibility, scalability, manufacturing complexity, cost, and wearable-device suitability. Device architectures and performance are evaluated across pressure and strain …

Ion-Imprinted Polymer-Based Sensors For Toxic Metal-Ion Detection In Water: Coordination Chemistry, Transduction Strategies, And Environmental Applications, Ghita Yammouri, Gymama Slaughter

Center for Bioelectronics Publications

Toxic metal contamination in aquatic environments remains a persistent threat to human health and ecosystems. Yet, the high cost, infrastructure demands, and centralized nature of conventional analytical methods constrain routine monitoring. Ion-imprinted polymers (IIPs), a subclass of molecularly imprinted polymers, have emerged as promising synthetic recognition materials for metal-ion sensing because they generate coordination-defined binding sites with high selectivity, chemical stability, low cost, and reusability. This review summarizes recent advances in Ion-imprinted polymer (IIP)-based sensing technologies for toxic metal-ion detection in water from 2016 to 2026. It examines the fundamental recognition chemistry of IIPs, major synthesis strategies used to generate …

Write For Mental Wellness - Writing For Self-Advocacy, Ypsiwrites, #Wishyouknew Washtenaw

YpsiWrites Programming

No abstract provided.

Write For Mental Wellness - Writing About Habits, Ypsiwrites, #Wishyouknew Washtenaw

YpsiWrites Programming

No abstract provided.

Write For Mental Wellness - Writing For Social Advocacy, Ypsiwrites, #Wishyouknew Washtenaw

YpsiWrites Programming

No abstract provided.

Walking The Line How Social Forces Shape Diabetic Foot Outcomes In The Texas Rio Grande Valley, Amanda L. Killeen, Stephanie N. Campbell, Naomie Jean, Juan Lopez-Alvarenga, Xuan Wang, Cyaandi Dove, Caroline E. Fife

School of Podiatric Medicine Publications

• Diabetes in the Rio Grande Valley is widespread and severe. Nearly 1 in 3 adults is affected, with foot ulcers and amputations occurring at rates far above state and national averages.
• Social drivers of health (SDOH) strongly influence outcomes. Poverty, uninsurance, limited education, transportation barriers, and distance from specialty centers delay care and increase amputation risk.
• Living conditions amplify risk. Colonias, unincorporated settlements often lacking clean water, sewer systems, or reliable electricity, make diabetes management and preventive foot care especially challenging.
• Data-driven identification of high-risk populations is critical. Zip code–level SDOH data, integrated into electronic medical records, can serve as …

Bridging The Language Gap: Training Medical Students In Interpreter-Mediated Patient Interviews, Monica Agarwal Dpm

School of Podiatric Medicine Publications

No abstract provided.

Rewiring The Immune Response In Lung Cancer: Current Progress In Bispecific Antibodies, Car-T Therapy, And The Rise Of In Vivo Car-T Platforms, Lei He, Yi Sun, Bowen Ma, Guojun Lang, Jianguo Wen, George R Blumenschein, Hong Ma

Faculty, Staff and Student Publications

Lung cancer remains the leading cause of cancer mortality worldwide and continues to impose a major clinical burden, particularly in advanced non-small cell lung cancer (NSCLC) and small-cell lung cancer (SCLC). Although targeted therapies, antiangiogenic agents, immune checkpoint inhibitors, and antibody-drug conjugates have improved outcomes in selected patients, durable responses remain limited by primary and acquired resistance. Here, we comprehensively review recent progress in immunologically oriented therapeutic strategies for lung cancer, focusing on bispecific antibodies, chimeric antigen receptor (CAR) T-cell therapy, and emerging in vivo CAR-engineering modalities. We further elaborate on the clinical rationale, latest translational and early clinical evidence, …

Deep Learning To Predict Future Cognitive Decline: A Multimodal Approach Using Brain Mri And Clinical Data, Tamoghna Chattopadhyay, Pavithra Senthilkumar, Rahul H Ankarath, Christopher Patterson, Emma J Gleave, Sophia I Thomopoulos, Heng Huang, Li Shen, Lei You, Degui Zhi, Paul M Thompson

Faculty, Staff and Student Publications

Predicting the trajectory of clinical decline in aging individuals is a pressing challenge, especially for people with mild cognitive impairment, Alzheimer's disease, Parkinson's disease, or vascular dementia. Accurate predictions can guide treatment decisions, identify risk factors, and optimize clinical trials. In this study, we compared two deep learning approaches for forecasting changes, over a 2-year interval, in the Clinical Dementia Rating scale 'sum of boxes' score (sobCDR), as a continuous outcome (regression). This is a key metric in dementia research and clinical trials, and scores range from 0 (no impairment) to 18 (severe impairment). To predict decline, we trained a …

The Ai-Native Health Science Institution Innovation Theater Vs. Structural Redesign, Jiajie Zhang, Martin J Citardi, Xiaoqian Jiang, Sean Savitz

Faculty, Staff and Student Publications

Academic health institutions face a new constraint: cognitive labor. Many adopt AI through additive initiatives that risk becoming "innovation theater"-visible activity without structural change. We argue this reflects a mismatch between rapid AI advances and slower institutional evolution. AI-native institutions treat AI as infrastructure, requiring governance, shared platforms, and workforce readiness. The challenge is not adoption but redesign; those that fail risk widening gaps and accelerating irrelevance.

Genetic Variants Associated With Sjögren’S Disease Subtypes Stratified By Clinical Feature, Nitesh Enduru, Chihiro Iwaya, Akiko Suzuki, Zhongming Zhao, Junichi Iwata

Faculty, Staff and Student Publications

Introduction: Sjögren's disease (SjD) is a chronic autoimmune disorder characterized by dry mouth (xerostomia) and dry eyes (xerophthalmia) due to inflammation in exocrine glands, particularly the salivary and lacrimal glands. The condition presents a wide variety of clinical features, suggesting that it may involve heterogeneous conditions without a clear boundary. Although genome-wide association studies (GWAS) have identified several genetic variants associated with SjD, their roles in SjD pathogenesis remain unclear.

Methods: In this study, we aimed to identify single-nucleotide polymorphisms (SNPs) associated with SjD by categorizing patients based on four diagnostic markers: anti-Ro/SSA and anti-La/SSB antibodies, IgG levels, and lymphocyte …

Enhancing Traffic State Estimation At Bottlenecks Through Improved Demand Modeling: A Greenshields-Grounded Approach, Yuyan Annie Pan, Xianbiao Hu, Qing Tang, Yanyan Chen, Xuesong (Simon) Zhou

Civil & Environmental Engineering Faculty Publications

Accurate estimation of traffic state under oversaturated conditions is fundamental to a wide range of transportation applications. While intuitive, volume-to-capacity (q/qc) ratio-based link performance functions (LPF) are challenged by the U-shaped pattern of real-world speed-flow plots, which contradict the monotonic assumptions of link performance models such as the Bureau of Public Roads (BPR) function, particularly when q/q_c ≥ 1. This study addresses this critical gap by proposing an enhanced demand estimation method grounded in the Greenshields model, incorporating a real-time inflow correction factor to more accurately capture traffic demand at bottlenecks. In parallel, a modified LPF is introduced, replacing …

Performance Assessment And Design Improvements For An Urban Coastal Detention Basin Under Intensifying Rainfall Extremes, Imiya Mudiyanselage Chathuranika, Agyare Asante, Faeghe Borhani, Xixi Wang, Mujde Erten-Unal, Dalya Ismael

Civil & Environmental Engineering Faculty Publications

Coastal urban areas are increasingly exposed to flooding driven by more frequent and intense rainfall events, rising sea levels, and expanding impervious surfaces. Norfolk, Virginia, a low-lying coastal city with aging stormwater infrastructure, faces heightened vulnerability to these hydrologic pressures. This study evaluates the hydraulic performance of an existing urban detention basin within the Edgewater–Larchmont catchment under 10-, 50-, and 100-year, 2-h design storms using the U.S. Environmental Protection Agency’s Storm Water Management Model (SWMM). Simulations were conducted for both pre- and post-development conditions to assess changes in peak discharge, storage capacity, and water level dynamics. Results show that urbanization, …

Optimizing Maintenance Routes For Highway Infrastructure Using Leader-Follower Autonomous Vehicles, Qing Tang, Chenxi Chen, Xianbiao Hu, Yuxin Ding, Tianjia Yang

Civil & Environmental Engineering Faculty Publications

The Autonomous Truck Mounted Attenuator (ATMA), a leader–follower style connected and automated vehicle system, enhances safety during transportation infrastructure maintenance in work zones. However, the significantly lower speed of ATMA, compared to regular vehicles, causes moving bottlenecks that reduce roadway capacity and prolong queuing, leading to further delays. Different ATMA routes lead to varying patterns of time-dependent capacity drop, affecting the user equilibrium traffic assignment and resulting in differing system costs. This study aims to optimize ATMA routing within a network to minimize the system cost associated with its slow-moving operation. To this end, a queuing-based traffic assignment approach is …

Short-Term Response Mechanisms Of Water Quantity And Quality Of Daihai Lake Under Temperature-Driven Changes, Hao Zhang, Xiaohong Shi, Xianhua Li, Junping Lu, Ruizhong Gao, Xixi Wang, Shuhao Zhang, Longmei Xie, Yu Liu

Civil & Environmental Engineering Faculty Publications

Temperature-driven mechanisms involving complex feedback and lag that affect the evolution of hydrological processes and ecological functions in cold- and arid-region lakes represent a core scientific issue in current hydrology and lake ecology research. In this study, based on month-scale temperature and environmental factor data from Daihai Lake in Inner Mongolia from January to December 2023, statistical methods (redundancy analysis, Tukey's test analysis, correlation analysis, structural equation modeling), time series analysis methods (dynamic time warping), and machine learning methods (random forest) were combined. A hierarchical and phased response framework was constructed that encompassed driver identification, path tracing, lag characterization, and …

Iuse: A Gamified Virtual Learning Platform For Connected Vehicle Applications To Enhance Undergraduate Transportation Education, Tianyu Shen, Di Yang, Kai Sun, Hong Yang, Kun Xie, Mansoureh Jeihani

Civil & Environmental Engineering Faculty Publications

Emerging transportation technologies are rapidly reshaping transportation systems and industry practice. However, most transportation undergraduate curricula still emphasize foundational topics such as geometric design, travel demand forecasting, pavements, and soil properties, typically delivered through lecture-centric instruction. While these subjects remain essential to the discipline, they do not fully reflect the pace of technological change or provide sufficient opportunities for experiential learning with modern tools and data. This gap limits students’ exposure to CV concepts and their ability to translate theory into practice.

Focusing on a key emerging technology, connected vehicles (CVs), this paper bridges the above gap by introducing a …

The Crisis Of Theodicy In Wartime Ukraine: From Gottverlassenheit To The Anthropodical Shift, Tetiana Havryliuk, Yuriy Chornomorets, Svitlana Shkil

Occasional Papers on Religion in Eastern Europe

Examination of the crisis of classical theodicy in the context of contemporary warfare, with particular attention to the experience of Russia’s full-scale war against Ukraine. The problem of innocent suffering can no longer be approached solely through speculative attempts to justify the world order or reconcile radical evil with divine providence. Methodologically, the study combines hermeneutic, phenomenological, and comparative-conceptual analysis. It reconstructs a selective genealogy of Gottverlassenheit from Martin Luther’s Theologia Crucis through Dietrich Bonhoeffer and Jürgen Moltmann, brings this tradition into dialogue with contemporary moral anti-theodicy, and examines Ukrainian philosophical and religious reflections shaped by wartime experience. The article’s …

Lung Inflammation From Daily Exposure To Airborne Particulate Matter In A Trade School, Kynda Tinawi, Céline Plante, Alan Da Silveira Fleck, Édith Giasson, Isabelle Valois, Caroline Couture, Eva Suarthana, Maximilien Debia, Audrey Smargiassi

Études primaires

Background Workers are exposed daily to various airborne chemical agents, however, associations between daily exposures to particulate matter and lung inflammation in occupational settings have been little explored. Objective To estimate the association between daily occupational exposure to respirable (PM4 and PM2.5), ultrafine particles, their oxidative potential, and fractional exhaled nitric oxide within apprentices in a school of construction trades. Methods We used a repeated measures design over 5 consecutive days in 56 apprentices from 3 construction trade sectors (bricklaying, welding, and carpentry). Fractional exhaled nitric oxide was measured each day post-work. Personal and work area daily PM4 were collected …

Occupational Exposure To Pesticides Increases The Risk Of Amyotrophyc Lateral Sclerosis: A Systematic Review And Meta-Analysis, France Labrèche, Pamela Prudhomme, Maryse Gagnon, Nicolas Dupré, Sabrina Gravel

Études primaires

Objective To systematically review the evidence on the association between occupational exposure to pesticides and the risk of amyotrophic lateral sclerosis (ALS).

Methods A systematic search, conducted in eight bibliographic databases for publications between 1990 and 2025, identified observational studies estimating the risk of ALS after occupational pesticide exposure. Study quality was assessed using the WHO Risk of Bias (RoB) assessment instrument for systematic reviews, with the ROBINS-E (RoB in non-randomised studies of exposure) tool domains of bias. Pooled risk estimates were produced using random-effects models with restricted maximum likelihood, heterogeneity was assessed with I² statistics, and meta-regressions and publication …

On The Use Of Hearing Aid Algorithms In Industrial Noise: Balancing Speech Intelligibility And Hearing Protection, Solenn Ollivier, Fabien Bonnet, Alexis Pinsonnault-Skvarenina, Christian Giguère, Jérémie Voix, Hugues Nélisse

Études primaires

Hearing protection devices (HPDs) are widely used to mitigate the risks of noise-induced hearing loss in industrial environments. However, conventional HPDs can often hinder communication for workers with hearing loss. While those workers may rely on hearing aids in their daily lives, the potential benefits and associated risks of using such devices in noisy workplaces remain unexplored. This study evaluated the effects of different hearing aid signal processing algorithms on speech intelligibility and estimated noise exposure under industrial noise conditions to characterize the balance between communication and protection needed to develop solutions for workers with hearing loss. A digital hearing …

Tracking Vigilance While Driving: Pilot Study Of Heart Rate Variability Classification Under A Controlled Sleep-Deprivation Protocol, James Elber Duverger, Eli Moser, Philippe Boudreau, Marie Claude Ouimet, Diane B. Boivin, Alireza Saidi

Études primaires

Decreased vigilance associated with drowsiness is a major cause of motor vehicle crashes, but its physiological characterization and detection remain difficult due to behavioral and environmental confounding factors. This study presents an original experimental framework combining a highly controlled sleep-deprivation protocol, repeated driving simulations, and a machine-learning-based heart rate variability (HRV) analysis to study the physiological and behavioral changes in vigilance during a prolonged period of wakefulness while driving. Twelve healthy young adults participated in a 30-h sleep-deprivation constant routine protocol that included driving simulations every two hours, with data collection: electrocardiography (ECG), subjective ratings of drowsiness, psychomotor vigilance test, …

The Impact Of Emergency Remote Education On Teacher Environment Quality—A Systematic Review, Jenne' M. Porter

Master's Theses and Doctoral Dissertations

The abrupt onset of emergency remote education (ERE) during the COVID-19 pandemic exposed significant gaps in the conditions necessary for teachers to sustain instruction. This systematic review explores how ERE impacted teacher environmental quality, including access to technology, institutional and collegial support, professional development (PD), and teacher well-being and efficacy. Teacher environmental quality, in this context, refers to the teacher-centered conditions that influence educators’ ability to teach effectively during ERE. The study adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. It systematically analyzed scholarly literature, applied clear inclusion criteria, and evaluated study quality using a …

Social Perception Of Rural And Urban Lgbtq+ High School Students, Jordyn Gerwig

Master's Theses and Doctoral Dissertations

Lesbian, gay, bisexual, transgender, queer, and other gender/sexual identities (LGBTQ+) have been subjects of research throughout history, impacting the way they are perceived socially. Experiences of LGBTQ+ people vary not only by person but also by geographic area (rural, urban, and suburban). The focus of this study is the social acceptance of LGBTQ+ identities in high schools in these geographic areas. The overall research question is as follows: How do LGBTQ+ students’ perceptions of social acceptance differ across urban, suburban, and rural high schools? It was hypothesized that students who attended rural schools will feel lower levels of social acceptance …

Seasonal And Lunar Patterns Of Peach Blossom Jellyfish (Craspedacusta Sowerbii) In Michigan, Claire Kozal

Master's Theses and Doctoral Dissertations

The peach blossom jellyfish (Craspedacusta sowerbii) is the only freshwater medusa found in the United States, yet its distribution, abundance, and mechanisms of dispersal remain poorly understood. Given its uncertain status, understanding the ecology of this species is a priority. To characterize population dynamics during the medusa season, surface water temperature and medusa abundance were surveyed at six inland lakes in Michigan. Occurrence records of C. sowerbii in Michigan were then used to compare co-occurrence patterns with nine aquatic invasives as a window into potential dispersal mechanisms and to create a regional ecological niche model. Medusae were observed in one …

From Nesting To Emergence: Environmental Drivers Of Hatchling Success In Blanding’S Turtles And Implications For Management In Southeast Michigan, Morgan Boyer

Master's Theses and Doctoral Dissertations

Blanding’s turtles (Emydoidea blandingii) are long-lived turtles whose populations are highly sensitive to juvenile recruitment. We used intensive nest monitoring, microclimate logging, soil measurements, and local weather data at two Southeast Michigan sites to quantify how nest placement, incubation environments, and substrate conditions influence emergence success and hatchling condition. Nesting females were morphologically similar in size and produced average clutch sizes for the species (8 ± 2 eggs). Nest sites were found on relatively open, disturbed uplands with sandier soil substrates. Emergence success was generally high (≈ 70-80%) in nests protected from predation. Sandy loam had the highest success rates …

Rigidity And Risk: A State Space Grid Analysis Of Parent-Child Interactions, Sleep, And Early Internalizing Symptoms, Brianna Trudeau

Master's Theses and Doctoral Dissertations

Background. Internalizing problems in preschoolers are prevalent, cause significant impairment, and often persist into later development. Emerging research uses state space grid (SSG) methodology to examine dynamic parent-child interaction processes that may contribute to these difficulties. While affective rigidity has been linked to maladaptive outcomes, less is known about behavioral rigidity and its association with child internalizing symptoms.

Objective. This study examined whether dyadic behavioral rigidity could be represented as a latent construct across tasks, whether behavioral rigidity predicted preschool internalizing symptoms, and whether rigidity mediated the relationship between parent and child sleep problems and child internalizing symptoms.

Method. Participants …

Tracking Antibiotic Resistant And Multidrug Resistant Bacteria And Antibiotic Resistance Genes In The Huron River Watershed: A Vital Water Resource In Southeast Michigan, Evan Siemienkiewicz

Master's Theses and Doctoral Dissertations

Antibiotic resistance is a growing global public health concern that extends beyond clinical settings and into natural freshwater environments, where resistant bacteria and antibiotic resistance genes (ARGs) can persist and disseminate through watersheds. Despite growing recognition of freshwater systems as environmental reservoirs of resistance, no published studies have examined antibiotic resistance within the Huron River watershed in Southeast Michigan. Water samples were collected monthly from May through October 2025 at 10 sites along the Huron River. E. coli and Enterococcus isolates were evaluated for resistance to eight antibiotics using the Kirby-Bauer disk diffusion method, and environmental DNA was analyzed by …