Digital Commons Network^™

Sex-Specific Differences In Lung Mitochondrial Function And Injury In Rats Exposed To Hyperoxia, Taheri Pardis, Abraham G. Taye, Devanshi D. Dave, Elizabeth R. Jacobs, Guru Prasad Sharma, Anne V. Clough, Ranjan K. Dash, Said H. Audi

Mathematical and Statistical Science Faculty Research and Publications

Hyperoxia is both an essential therapy and a contributor to lung injury in acute respiratory distress syndrome. We hypothesized that adult female rats are relatively protected from hyperoxia-induced acute lung injury (HALI) compared with males and that this protection is associated with sex-dependent differences in lung mitochondrial bioenergetics and H₂O₂ production. Adult rats were exposed to room air (normoxia) or hyperoxia (>95% O₂) for up to 60 h. Lung injury was assessed by pleural effusion, lung wet weight, pulmonary vascular filtration coefficient (K_f), histologic injury scores, and cleaved caspase-3 (CC3) staining. …

Predicting Soil Organic Carbon In Lower Depths From Surface Soil Features Using Machine Learning Methods, Lawrence Aula, Milena Maria Tomaz De Oliveira, Amanda C. Easterly, Cody F. Creech

Plants, Soils, and Climate Faculty Publications

Topsoil features within a depth of 0–10 cm are vital for making soil management decisions that affect crop production. However, the use of these soil features to predict soil organic carbon (SOC) at 10–20 cm requires further investigation. The study aims to predict SOC at 10–20 cm using total nitrogen (total N), pH, cation exchange capacity (CEC), and SOC at 0–10 cm and select a suitable model for predicting SOC. This study was conducted using data from a long-term tillage, winter wheat (Triticum aestivum L.)-fallow experiment established in autumn 1970. Treatments included moldboard plow, stubble mulch, no-till, and native …

Intelligent Mobile Application For Alzheimer's Detection And Patient's Life Management, Dilena Majid Bajalan, Muayad Sadik Croock

Iraqi Journal of Computers, Communications, Control and Systems Engineering

The defining feature of Alzheimer's disease (AD) is a gradual decline in symptoms over several years. This decline reduces the effectiveness of daily routines and leads to memory loss. Among the challenges posed by memory loss are difficulties in remembering names, faces, locations, and other important details. This study introduces an intelligent mobile application designed to assist in managing a patient's daily life, with an emphasis on routine activities and monitoring episodes of memory loss. Additionally, the application aims to detect Alzheimer's disease (AD) using a proposed deep learning model. The suggested Convolutional Neural Network (CNN) deep learning model is …

Reliability Analysis For Deep Learning Secured Wireless Sensor Networks, Abeer Hussein Abdulrasool, Ekhlas Kadhum Hamza, Ahmed Mudheher Hasan

Iraqi Journal of Computers, Communications, Control and Systems Engineering

With the advancement of software, wireless sensor networks (WSNs) face many problems and challenges, such as loss or limitation of node power resources, as well as intrusions and other cyberattacks. This study aims to improve the reliability of WSNs to mitigate the impact of cyber-attacks by applying effective detection and prevention techniques to ensure their continuous operation, as well as to maintain the security, privacy, and integrity of information. Several efficient approaches and smart techniques have been presented in literature to enhance the reliability and security of WSNs against various cyber-attacks. Recent studies focused on the deep learning (DL) algorithms …

Path Planning For Robotic Systems In Dynamic Environments: Using Rrt*, Rrt-D* Lite, And Bi-Rrt*-D* Lite, Hameed Salman Hameed, Omar Farouq Lutfy, Firas A. Raheem

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Path planning is one of the essential challenges in the area of robotic systems. In recent years, Rapidly-exploring Random Tree star (RRT*) has been a preferred path planner for robots due to its probabilistic completeness. This paper explores using three path planning algorithms for a mass point robotic system navigating dynamic environments with RRT*, Bidirectional Rapidly-exploring Random Tree (Bi-RRT*), and a novel hybrid approach (Bi-RRT*-D Lite*). The study shows the performance of these algorithms in terms of the path length, the path generating time, the number of search attempts, and the percentage error. In addition, it compares the Bi-RRT* and …

Federated Learning With Deep Learning: A Comprehensive Survey, Sarah H. Mnkash, Faiz A. Alawy, Israa T. Ali

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Federated Learning (FL) introduces a decentralized machine learning paradigm where model training occurs directly on user devices, ensuring data privacy by keeping sensitive information local. This approach ensures data privacy and security by keeping all sensitive or personally identifiable information local to the device, thereby eliminating the need to transfer or centralize raw data. In this survey, we examine federated deep learning — its challenges, recent developments, application domains, privacy preservation strategies, and future trends. We will give some primitive reference papers of the heterogeneity of statistics and systems, communication cost, fairness, and trust. Applications in health, Internet of Things …

Implementation Of An Occupational Therapy-Led, Sensory-Based Intervention In A Secure Children’S Home: A Qualitative Study Of Staff Experiences, Kevin Steede, Alison Warren

School of Health Professions

The Just Right State program (JRSP) is an occupational therapy-based, sensory intervention designed to support self-regulation. Qualitative methodology was used to explore the experiences of five members of staff working in a secure children’s home in training in and implementing the JRSP under the guidance of occupational therapy staff. Using thematic analysis four themes emerged: Sensory regulation training enhanced staff wellbeing, Sensory regulation as a new lens in a unique environment, Embedding theory in practice, and Considerations for the experiential JRSP training. The findings provide insights into effective training and implementation of sensory modulation interventions.

A Novel Endolysin Of Phage Persinger Infecting Pseudomonas Aeruginosa: Activity Against Biofilms And Structural Prediction, Layla Abbud

James Madison Undergraduate Research Journal (JMURJ)

Endolysins are proteins that degrade bacterial cell walls. They are encoded on the genome of bacteriophages (viruses that infect and kill bacteria). At the end of the lytic cycle of a bacteriophage, endolysins cut the peptidoglycan layer of the bacterial cell wall, allowing the release of viral progeny. Pseudomonas aeruginosa is a well-known multidrug-resistant human pathogen that causes serious problems, especially in patients diagnosed with cystic fibrosis (CF). One property of P. aeruginosa is the production of biofilms, which is a defense against antibiotics. Previous research has shown that endolysins from bacteriophages can degrade biofilms. The endolysin protein from Persinger, …

Irene Turk Rorimer, Dwight Chasar

Cleveland Bird Calendar

No abstract provided.

Location Key, The Cleveland Bird Calendar

Cleveland Bird Calendar

No abstract provided.

The House Wren, Dwight Chasar

Cleveland Bird Calendar

No abstract provided.

Overview Of The Season, Kevin Metcalf

Cleveland Bird Calendar

No abstract provided.

Field Notes, Sean T. Zadar, Dwight Chasar, Haans Petruschke, Bill Whan, Judy Semroc

Cleveland Bird Calendar

No abstract provided.

Field Notes, Sean T. Zadar, Dwight Chasar, Ann Chasar

Cleveland Bird Calendar

No abstract provided.

Field Notes, Bruce Mclean, Carol Tveekrem, Paula J. Lozano, Jean Hoffman, Dwight Chasar, Ann Chasar

Cleveland Bird Calendar

No abstract provided.

Field Notes, Bob Finkelstein, Paula J. Lozano, Tom Bartlett

Cleveland Bird Calendar

No abstract provided.

Noteworthy Records, The Cleveland Bird Calendar

Cleveland Bird Calendar

No abstract provided.

Field Notes, Mary Reinthal, Robert Harlan

Cleveland Bird Calendar

No abstract provided.

The Weather, William A. Klamm

Cleveland Bird Calendar

No abstract provided.

Ultrasound-Guided Percutaneous Sclerotherapy Of A Canine Hepatic Cyst Using Lower-Concentration Ethanol: A Case Report, Minyoung Kim, Dongyeong Lee, Seulgi Bae, Sang-Kwon Lee, Kija Lee

The Thai Journal of Veterinary Medicine

A 10-year-old female Pomeranian was referred after a hepatic cyst was incidentally identified during a routine health check. Ultrasound-guided simple drainage was initially performed, and cytological examination of the aspirated fluid confirmed a simple cyst. However, the cyst re-expanded to its original size within 2 weeks. Therefore, ultrasound-guided percutaneous sclerotherapy was elected using lower-concentration ethanol (83%), a readily available medical disinfectant, rather than conventional high-concentration ethanol. Approximately 50% of the aspirated volume was replaced with 83% ethanol and retained for 20 min to achieve effective epithelial ablation. Post-procedural follow-up revealed a transient increase in cyst size and serum alanine aminotransferase …

Ultrasonography Accompanied By Genetic Testing In Feline Polycystic Kidney Disease, Thao Phuong Vu, Thong Quang Le, Ha Nguyen Nhat Tran, Khoa Hoang Dang Le, Anh Phu Nam Bui

The Thai Journal of Veterinary Medicine

Autosomal dominant polycystic kidney disease (ADPKD), caused by the PKD1 c.10063C>A mutation, is a prevalent inherited feline disorder, but its allele frequency in Vietnam remains unidentified. This study aimed to determine the carrier frequency of this variant in British Shorthair, Maine Coon, and Ragdoll cats in Ho Chi Minh City and to correlate genotype with ultrasonographic phenotype. Ninety-seven client-owned cats were genotyped for the pkd1 mutation using PCR-RFLP. A subset of 47 cats also underwent abdominal ultrasonography to detect renal cysts. Genotypic results were correlated with sonographic findings, and risk factors were analyzed using chi-square tests and odds ratios …

Comparison Of Same-Day Discharge Robotic-Assisted Radical Prostatectomy In An Ambulatory Surgery Center Versus Hospital Setting, Nishant S. Kumar Bs, Ranko Miocinovic Md, Tom D. Beris Md, Maya Goyal Bs, Vineet Kumar Bs, Amit R. Patel Md

Medical Student Research Symposium

Introduction

Robotic-Assisted Radical Prostatectomy (RARP) is the predominant surgical approach for localized prostate cancer in the United States and over 50% of RARP are performed as ambulatory or same-day discharge encounters. Current literature supports that RARP performed in the outpatient setting are as effective and have no increase in complications compared to those performed inpatient and cost nearly 20% less than those performed inpatient.

Methods

Between May 2021 and December 2021, two-high volume robotic surgeons at an independent multi-specialty physician group performed RARP in both a freestanding ambulatory surgery center (ASC) and in an affiliated hospital. Data on demographics, clinical …

Barriers And Facilitators To Lung Cancer Screening In Arab/Middle Eastern And North African (Mena) Communities, Sara Komaiha, Mustafa Sharba, Ahmad Dulli, Faten Abda, Rawan Antar, Dana Sunbulli, Jad Fawaz, Ragad Almsaddi, Jawad Saad, Yasmin Snounu, Morhaf Al Achkar

Medical Student Research Symposium

Background: Lung cancer remains the second most prevalent cancer worldwide, with an estimated 2.21 million new cases in 2025. Screening rates for colorectal and cervical cancers are consistently lower among Middle Eastern and North African (MENA) populations compared to White populations, suggesting similarly low participation in lung cancer screening (LCS). This study explores multilevel determinants of LCS engagement.

Methods: Using the Socio-Ecological Model and the Health Belief Model frameworks, this qualitative study examines how individual, interpersonal, and community factors shape screening behaviors. Screening-eligible adults and key LCS stakeholders, including clinicians, administrators, and community leaders, are recruited for focus groups and …

Patient Reported Outcome Participation And Completion In Total Joint Arthropathy: A Socioeconomic Analysis, Diana Kernen Ba, Michelle Yi Mse, Kathleen Jahnke Bs, Nevil Khurana Ms, Ezra Goodrich Md, Charles Day Md, Mba

Medical Student Research Symposium

Background
Patient-reported outcome measures (PROMs) assess symptoms, function, and overall health from a patient perspective. Although PROM engagement has been studied across orthopaedics, limited work has examined both participation and completion specifically in joint replacement. This study evaluated associations between sociodemographic factors and PROM participation and completion among total joint arthroplasty patients.

Methods
We performed a retrospective review of all primary arthroplasties completed by a single surgeon in 2023 at a Midwestern tertiary health system. PROMs included PROMIS PF, PROMIS PI, and either HOOS JR or KOOS JR. Demographic data and Area Deprivation Index (ADI) were collected. Participation was defined …

Impact Of Reproductive Medical Conditions On Fertility Struggles In Metropolitan Detroit Women, Tonia Jones, Indrea Joplin, Anil N. F Aranha, Melanie Hanna-Johnson, Md

Medical Student Research Symposium

Title: Impact of Reproductive Medical Conditions on Fertility Struggles in Metropolitan Detroit Women

Tonia Jones, MPH¹, Indrea Joplin, BS¹, Melanie Hanna-Johnson, MD², Anil Aranha, PhD^1,2

Medical Education¹, Internal Medicine², Wayne State University School of Medicine, Detroit, Michigan.

Background and Purpose: Internationally, 48 million couples and 186 million individuals experience infertility, defined as difficulty with conception, gestation, or delivery. Medical conditions such as endometriosis, uterine fibroids, and polycystic ovarian syndrome (PCOS) may contribute. Our purpose was to assess their significance among women in Metropolitan Detroit experiencing infertility.

Methods: Data were …

Clinical Insights Into Early-Onset Pancreatic Cancer, Ken Huynh, Ling Huang, Kyra Langley, Julie Clark, David Kwon

Medical Student Research Symposium

Background: Pancreatic cancer is the third leading cause of cancer-related death in the U.S., with a 5-year survival of 12.8%. Black patients experience higher incidence, later-stage diagnosis, and worse survival than other groups. Early-onset pancreatic cancer (EOPC, age < 50 years) represents 5–12% of cases and shows distinct features including male predominance, later presentation, and associations with smoking, obesity, and diabetes. Data on EOPC among Black patients remain limited. Given Detroit’s large Black population, this study characterizes clinical and demographic factors associated with EOPC to identify potential risk patterns.

Methods: A retrospective cohort study of pancreatic adenocarcinoma cases (October 2005– February 2025) was conducted using the Henry Ford Health REDCap database. Demographic, clinical, and biomarker data were extracted from electronic records. Statistical comparisons between groups were performed using chi-square, Fisher’s exact, or t-tests.

Results: Of 2,436 patients, 243 met inclusion criteria: 86 EOPC, 81 average-onset (AOPC), and 76 late-onset (LOPC). EOPC …

Exploring The Role Of Patient Feedback In Medical Education, Hovhannes John Hayrapetyan, Stella Hayrapetyan, Diane L. Levine Md

Medical Student Research Symposium

Background: Patient feedback is increasingly recognized as a valuable yet underutilized component of medical student assessment. When collected reliably, delivered with specificity, and embedded in a supportive learning environment, feedback can improve communication, professionalism, and patient-centered behaviors while promoting reflective, self-directed learning. However, studies highlight limitations including inadequate longitudinal evidence for sustained improvement, inconsistent use of structured tools, and insufficient faculty guidance. Instruments such as the Patient Feedback in Clinical Practice (PFCP) questionnaire show promise but require broader testing, and links between learner feedback and patient outcomes remain weak.

Methods: A comprehensive literature review was conducted using PubMed, Google Scholar, …

Survivin And Caspases Coordinate Proteolytic Cleavage Of The Saga Chromatin Modifying Complex, Elinor Harrison, Alejandro Damian, Cj Talton

Medical Student Research Symposium

Title: Survivin and Caspases Coordinate Proteolytic Cleavage of the SAGA Chromatin Modifying Complex

Elinor Harrison¹, Alejandro Damian¹, CJ Talton¹, Jelly H Soffers¹, Abudu I Bello¹, Kara M Costanzo¹, Joe Bean¹, Ryan D Mohan¹

¹Wayne State University School of Medicine

Background: The Spt Ada Gcn5 Acetyltransferase (SAGA) chromatin modifying complex is a critical regulator of gene expression. Mutation or stoichiometric imbalance of SAGA subunits leads to a spectrum of diseases in model organisms and in humans, including neurodegeneration. SAGA contributes to gene activation through coordinated …

A Systemic Review Of Functional Outcomes And Patient Satisfaction Across Lower-Limb Prosthetic Types In Military Personnel And Veterans, Emma Ho Harris, Amir Ghafarian, Sen Gao, Khaled Saleh, Jason Pasley

Medical Student Research Symposium

Background: Military personnel and veterans are at increased risk of lower-limb amputation, often due to combat-related trauma such as improvised explosive devices (IEDs), as well as secondary factors including tobacco use, peripheral artery disease, and diabetes. This study systematically reviews and compares lower-limb prosthetic technologies in military personnel and veterans, focusing on functional outcomes, mobility, and patient satisfaction.

Methods: A comprehensive literature search was conducted using PubMed MeSH terms to identify studies examining lower-limb prosthetic use and outcomes among military personnel and veterans. The final MeSH-based search yielded 27 results.

Results: The review included 27 studies on lower-limb prosthetic use …

Data Science In Medicine: Bridging The Statistics & Research Skills Education Gap Through Multi-Platform Bootcamps, Marta Haireek, Muhammad Idrees, Yiannos Demetriou, Laura Benjamins, Alan Dombkowski

Medical Student Research Symposium

Background

Presently, there is great emphasis on medical students' research output and demand for healthcare practitioners with skills in data appraisal, research methodologies, and evidence interpretation; however, medical students do not receive formal training in research and data science. This presents a major gap in medical education as curriculums focus on USMLE preparation without exposure to statistical software or analytical thinking required for productive research outcomes or evidence appraisal. Accordingly, the “Data Science Research Bootcamp” addressed this gap through workshops focused on Python, R, and SPSS.

Methods

WSUSOM students attended Python (n=22), R (n=9), and SPSS (upcoming) workshops to learn …