Medical Specialties Commons^™

Evaluating The Influence Of Trypanosomiasis On Murine Model Using Corchorus Olitorius Leaf Extract As A Trypanocidal Agent, Fatima M. Madaki, Adamu Y. Kabiru, Ogunrombi D. Clinton, Sakariyau A. Waheed, Yunusa O. Ibrahim

Chemistry & Biochemistry Faculty Publications

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Trypanosomiasis, a parasitic disease caused by trypanosomes, which are flagellate protozoa transmitted through the bite of the tsetse fly, manifests with symptoms including substantial weight loss, anemia, fever, edema, adenitis, dermatitis, and nervous disorders. This research investigated the impact of trypanosomiasis on a murine model while utilizing Corchorus olitorius leaf extract as a potential trypanocidal agent. An acute toxicity analysis was conducted following Lorke's method, and the antitrypanosomal efficacy was assessed in rats at doses of 100, 200, and 400 mg/kg over three weeks, monitoring changes in parasitemia count, body weight, and hematological parameters. Additionally, lipid profile, electrolyte concentration, and …

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Improving Neuropathological Analysis With Aβgan: Addressing Morphology Imbalance For Efficient Alzheimer's Disease Diagnosis, Sujatha Alla, Prasanthi Chidipudi, Nagesh Bheesetty, Vedvikash Reddy Velur, Joshit Mohanty, Puneeth Bheesetty, Marisha Jmukhadze, Narendra Lakshmana Gowda, Sai Gireesh Komaragiri

Engineering Management & Systems Engineering Faculty Publications

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Histopathologists are experiencing a digital revolution in their field thanks to the digitization of Whole Slide Images (WSIs), which are microscope slides of tissue that can measure gigapixels in size. With so much high resolution data at their disposal, computer vision techniques can now be used to automate laboratory processes, create visual standards, and increase analysis throughput, all of which reduce the workload of pathologists [1]. The "gold" standard in neuropathology, particularly for Alzheimer's Disease- is pathological diagnosis made by looking at White Matter Inclusions (WSIs) in brain tissue. Semi-quantitative scoring in accordance with the standards established by the Consortium …

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Associations Of Social Isolation And Loneliness With Mci Among Older Adults From Underresourced Communities, Fang Fang, Tiffany Hughes, Yueting Wang, Erin Jacobsen

Research and Infrastructure Service Enterprise (RISE) Faculty Publications

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Previous studies have shown social isolation and loneliness are associated with poor cognitive outcomes in later life, yet it is unclear if these findings could be confounded by selective attrition. This study examines longitudinal associations of social isolation and loneliness with incident mild cognitive impairment (MCI) accounting for informative drop-out due to death or disease. Data were from a population-based cohort study of older adults in Southwestern Pennsylvania, whose once-vibrant economy heavily relied on the steel industry until it collapsed in the 1970s and has not fully recovered. Participants (N=1,254) were followed for 12 years for the development of MCI. …

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Risk An Protective Factors For Increasing Isolation And Loneliness Among Older Adults, Tiffany Hughes, Fang Fang, Yueting Wang, Erin Jacobsen

Research and Infrastructure Service Enterprise (RISE) Faculty Publications

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Social isolation and loneliness are associated with poor health and quality of life as well as decreased longevity. This study examines patterns of change in self-reported isolation and loneliness, and factors associated with these patterns, using data from 1,474 cognitively normal participants followed annually for up to 12 years in a population-based cohort study of older adults. Composite measures of isolation and loneliness were created, and trajectory analyses were conducted to detect patterns of change in these composites over time. Multinomial logistic regression tested associations of baseline demographic, health, and lifestyle factors with patterns of change in isolation and loneliness. …

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An Ewas Of Dementia Biomarkers And Their Associations With Age, African Ancestry, And Ptsd, Mark W. Miller, Erika J. Wolf, Xiang Zhao, Mark W. Logue, Sage E. Hawn

Psychology Faculty Publications

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Background

Large-scale cohort and epidemiological studies suggest that PTSD confers risk for dementia in later life but the biological mechanisms underlying this association remain unknown. This study examined this question by assessing the influences of PTSD, APOE ε4 genotypes, DNA methylation, and other variables on the age- and dementia-associated biomarkers Aβ40, Aβ42, GFAP, NfL, and pTau-181 measured in plasma. Our primary hypothesis was that PTSD would be associated with elevated levels of these markers.

Methods

Analyses were based on data from a PTSD-enriched cohort of 849 individuals. We began by performing factor analyses of the biomarkers, the results of which …

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Expanding A Behavioral View On Digital Health Access: Drivers And Strategies To Promote Equity, Maura M. Kepper, Lauren A. Fowler, Isabelle S. Kusters, Jean W. Davis, Manal Baqer, Sarah Sagui-Henson, Yunyu Xiao, Adati Tarfa, Jean C. Yi, Bryan Gibson, Kristin E. Heron, Nicole M. Alberts, Marissa Burgermaster, Veronica Njie-Carr, Lisa M. Klesges

Psychology Faculty Publications

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The potential and threat of digital tools to achieve health equity has been highlighted for over a decade, but the success of achieving equitable access to health technologies remains challenging. Our paper addresses renewed concerns regarding equity in digital health access that were deepened during the COVID-19 pandemic. Our viewpoint is that (1) digital health tools have the potential to improve health equity if equitable access is achieved, and (2) improving access and equity in digital health can be strengthened by considering behavioral science-based strategies embedded in all phases of tool development. Using behavioral, equity, and access frameworks allowed for …

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Sleep Disturbances And Psychological Well-Being Among Military Medical Doctors Of The Swiss Armed Forces: Study Protocol, Rationale And Development Of A Cross-Sectional And Longitudinal Interventional Study, Dena Sadeghi-Bahmani, Viola Rigotti, Zeno Stanga, Undine E. Lang, Rebecca K. Blais, Michelle L. Kelley, Serge Brand

Psychology Faculty Publications

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Background: Compared to civilians and non-medical personnel, military medical doctors are at increased risk for sleep disturbances and impaired psychological well-being. Despite their responsibility and workload, no research has examined sleep disturbances and psychological well-being among the medical doctors (MDs) of the Swiss Armed Forces (SAF). Thus, the aims of the proposed study are (1) to conduct a cross-sectional study (labeled ‘Survey-Study 1’) of sleep disturbances and psychological well-being among MDs of the SAF; (2) to identify MDs who report sleep disturbances (insomnia severity index >8), along with low psychological well-being such as symptoms of depression, anxiety and stress, but …

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Neuroticism Mediates The Association Between Autistic Traits And Choice Reaction Time Among Young Adults, Kassandra De Jesus Cintron, Xiao Yang

Psychology Faculty Publications

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Autism spectrum disorder (ASD) is a neurodevelopmental disorder that influences an individual’s cognitive functions and social interaction. While most studies have focused on children and adolescents diagnosed with ASD, elevated levels of autistic traits in subclinical populations may also influence individuals’ daily functioning. Autistic traits are also linked to the Big Five personality. In particular, neuroticism (emotion instability) has been shown to be positively associated with autistic traits, which may contribute to behavioral symptoms of autistic traits. The present study aimed to investigate the association between autistic symptoms and sensorimotor processing among a subclinical population. One hundred young adults (M …

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Short-Term Blood Pressure Variability Among Young Adults At High Or Low Risk For Depression, Balázs Bence Nyárády, Miklós Vértes, Edit Dósa, Xiao Yang, Charles J. George, Enikõ Kiss, Iidiko Baji, Krisztina Kapornai, Maria Kovacs

Psychology Faculty Publications

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Background: Depression has been shown to have adverse effects on blood pressure (BP) and is associated with high blood pressure variability (BPV). In turn, high short-term BPV has been related to eventual cardiovascular risk. But it is not clear how early in adulthood the detrimental effects of depression on BPV may be discerned, if being at high risk for depression also compromises BPV, and whether the clinical features of depression moderate its adverse effects. We investigated these three issues among young adults using an office-like setting. Methods: In total, 218 subjects with a history of childhood-onset major depressive episodes (probands), …

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Sex Differences In The Association Between Cardiac Vagal Control And The Effects Of Baroreflex Afferents On Behavior, Xiao Yang, Jacob Chaney, Aaron S. David, Fang Fang

Psychology Faculty Publications

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Background: Cardiovascular disease (CVD) is the leading cause of mortality and disability worldwide. While sex differences in CVD have been well documented, the physiological mechanisms of those sex differences remain unclear. As important components of the cardiovascular system, cardiac vagal control and baroreflex serve as mechanisms of sex differences in CVD and are modifiable factors for gender-specific CVD preventions. Methods: Ninety-four healthy adults (18–44 years of age; M_age = 21.09 years; 46 female) were recruited to complete the assessments of heart rate variability (HRV) at a resting baseline and the cardiac timing effect on an R-wave-locked reaction time (RT) …

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Gaze Transition Entropy As A Measure Of Attention Allocation In A Dynamic Workspace Involving Automation, Zixin Cui, Tetsuya Sato, Austin Jackson, Sampath Jayarathna, Makoto Itoh, Yusuke Yamani

Psychology Faculty Publications

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Real-world work environments require operators to perform multiple tasks with continual support from an automated system. Eye movement is often used as a surrogate measure of operator attention, yet conventional summary measures such as percent dwell time do not capture dynamic transitions of attention in complex visual workspace. This study analyzed eye movement data collected in a controlled a MATB-II task environment using gaze transition entropy analysis. In the study, human subjects performed a compensatory tracking task, a system monitoring task, and a communication task concurrently. The results indicate that both gaze transition entropy and stationary gaze entropy, measures of …

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Leveraging Machine Learning To Study How Temperature Scores Predict Pre-Term Birth Status, Erich Seamon, Jennifer A. Mattera, Sarah A. Keim, Esther M. Leerkes, Jennifer L. Rennels, Andrea J. Kayl, Kristy M. Kulhanek, Darcia Narvaez, Sarah M. Sanborn, Jennifer B. Grandits, Christine Dunkel Schetter, Mary Coussons-Read, Amanda R. Tarullo, Sarah J. Schoppe-Sullivan, Mariah E. Thomason, Julie M. Braungart-Rieker, Julie C. Lumeng, Shannon N. Lenze, Lisa M. Christian, Darby E. Saxbe, Laura R. Stroud, Christina M. Rodriguez, Stephanie Anzaman-Frasca

Psychology Faculty Publications

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Background

Preterm birth (birth at <37 completed weeks gestation) is a significant public heatlh concern worldwide. Important health, and developmental consequences of preterm birth include altered temperament development, with greater dysregulation and distress proneness.

Aims

The present study leveraged advanced quantitative techniques, namely machine learning approaches, to discern the contribution of narrowly defined and broadband temperament dimensions to birth status classification (full-term vs. preterm). Along with contributing to the literature addressing temperament of infants born preterm, the present study serves as a methodological demonstration of these innovative statistical techniques.

Study design

This study represents a metanalysis conducted with multiple samples (N = 19) including preterm (n = 201) children and (n = 402) born at term, with data combined across investigations to perform classification analyses.

Subjects …

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Methylene Blue-Mediated Photodynamic Therapy In Combination With Doxorubicin: A Novel Approach In The Treatment Of Ht-29 Colon Cancer Cells, Nima Rastegar-Pouyani, Jaber Zafari, Alireza Nasirpour, Hossein Vazini, Nabbaa Najjar, Seyedeh Zohreh Azarshin, Fatemeh Javani Jouni

Electrical & Computer Engineering Faculty Publications

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Introduction: With an alarmingly growing number of patients diagnosed with colorectal cancer, adopting innovative anti-cancer approaches has recently garnered great attention. One interesting concept is the co-administration of cytotoxic agents and safer modalities such as photodynamic therapy (PDT), which can subsequently improve therapeutic efficacy and potentially reduce the risks of severe adverse effects and drug resistance. In the course of PDT, a locally injected photosensitizer (PS) is irradiated with a light source, which subsequently generates reactive oxygen species (ROS) and induces programmed cell death in tumor cells.

Methods: In this study, to evaluate the potential anti-cancer effects of chemotherapy combined …

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Invasion Of Superbugs: Cockroach-Driven Outbreak Of Multidrug-Resistant Enterobacter In An Icu, Jennifer Hanrahan, Nicholas Schouten, Steven H. Fyffe, Annette Jencson, Stephanie Stroever

Department of Medicine Faculty Publications

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Objective: To describe factors in an outbreak of multidrug-resistant Enterobacter cloacae (MRE) in an intensive care unit (ICU) over a 20-month period including the likely contribution of cockroaches to the outbreak.

Design: This is a retrospective descriptive study.

Setting: ICU in an urban hospital.

Patients: All patients admitted to the ICU during the 20-month outbreak period were included in the study.

Interventions: Infection prevention interventions included contact isolation, hand hygiene, dedicated patient equipment, environmental cultures, and pest control.

Results: 25 patients were identified as being colonized or infected with MRE. Relatedness of the outbreak strain and strains found in cockroaches …

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A Scoping Review Of Population Diversity In The Common Genomic Aberrations Of Clear Cell Renal Cell Carcinoma, Sean S. Kumar, Ninad Khandekar, Komal Dani, Saina R. Bhatt, Vinay Duddalwar, Anishka D'Souza

Department of Medicine Faculty Publications

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Introduction: Previous literature has shown that clear cell renal cell carcinoma (ccRCC) is becoming a more prevalent diagnosis and that the incidence and mortality differ both regionally and racially. While the molecular profiles for ccRCC are studied regionally through biopsy and sequencing techniques, the genomic landscape and ccRCC diversity data are not well-studied. We conducted a review of the known genomic data on 6 of the most clinically relevant DNA biomarkers in ccRCC: Von Hippel-Landau (vHL), Polybromo-1 (PBRM1), Breast Cancer Gene 1-Associated Protein 1 (BAP1), Histone-Lysine N-Methyltransferase Domain-Containing 2 (SETD2), Mammalian Target of Rapamycin (mTOR), and Lysine-Specific Demethylase 5C (KDM5C). …

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Antiangiogenic Therapy Combined With Immune Checkpoint Blockade In Urothelial Cancer: Systematic Review And Meta-Analysis, Mohammad Jad Moussa, Iuliia Kovalenko, Emanuele Crupi, Ekaterina Proskuriakova, Yimin Geng, Giuseppe Fallara, Raed Benkhadra, Daniele Raggi, Matthew T. Campbell, Pavlos Msaouel, Omar Alhalabi

Department of Medicine Faculty Publications

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Background: Antiangiogenic therapy had been tested in urothelial cancer (UC) without reaching the clinic.

Objective: We provide a systematic review and meta-analysis of trials to assess efficacy of immune checkpoint inhibitors (ICI) combined with antiangiogenic agents in UC.

Methods: Following PRISMA guidelines, we searched for trials with at least one arm of patients with UC treated with ICI plus antiangiogenics. Data were analyzed with the "meta" package from R using a one-staged frequentist meta-analysis.

Results: After screening 13,708 titles and abstracts, 9 studies were selected for analysis with 14 identified cohorts comprising 621 patients: 448 were ICI-naïve (ICI-N) and 173 …

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Exposure To Low (10 Cgy) Doses Of ⁴He Ions Leads To An Apparent Increase In Risk Taking Propensity In Female Rats, Nina Li, Simran Phuyal, Elliot Smits, Faith E. Reid, Ella N. Tamgue, Paola Alvarado Arriaga, Richard A. Britten

Department of Medicine Faculty Publications

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The planned missions to the Moon and Mars will present more significant health challenges to astronauts compared to low earth orbit missions. During deep space missions, astronauts will be constantly exposed to Space radiation (SR). Multiple rodent studies suggest that < 25 cGy of SR impairs performance in executive functions, which play a key role in advanced cognitive processes, but also regulate response inhibition and impulse control. There is the possibility that SR exposure may exacerbate aberrant behaviors evoked by psychological stress related to exposure to isolated and confined (ICE) hostile environment or independently induce additional aberrant behaviors. This study has determined that female Wistar rats exposed to 10 cGy of 250 MeV/n He had an increased risk taking propensity (RTP)\compared to shams. The increased RTP of the He-exposed rats was associated with significantly increased reaction times during the trials, suggesting a SR-induced loss of processing speed. The response times of the He-exposed rats were even further reduced in trials that immediately followed a loss, raising the possibility that conflict and interference avoidance may be impaired after SR exposure. Whether these findings occur following other types of SR exposure, and/or in male rats remains to be determined.

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An Objective Assessment Of Neuromotor Control Using A Smartphone App After Repeated Subconcussive Blast Exposure, Charlend K. Howard, Masahiro Yamada, Marcia Dovel, Rie Leverett, Alexander Hill, Kenneth A. Manlapaz, David O. Keyser, Rene S. Hernandez, Sheilah S. Rowe, Walter S. Carr, Michael S. Roy, Christopher K. Rhea

Rehabilitation Sciences Faculty Publications

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Subconcussive blast exposure has been shown to alter neurological functioning. However, the extent to which neurological dysfunction persists after blast exposure is unknown. This longitudinal study examined the potential short- and long-term effects of repeated subconcussive blast exposure on neuromotor performance from heavy weapons training in military personnel. A total of 214 participants were assessed; 137 were exposed to repeated subconcussive blasts and 77 were not exposed to blasts (controls). Participants completed a short stepping-in-place task while an Android smartphone app placed on their thigh recorded movement kinematics. We showed acute suppression of neuromotor variability 6 h after subconcussive blast …

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The Impact Of Telehealth-Based Behavioral Lifestyle Program On Hypertension Control In African American Participants: Results From The Heals Med-Tech Randomized Controlled Trial, Sunita Dodani Dodani, Amanda Clarke, Ismail El Moudden, Tharidu Gunawardena, Navdhit Bedi

Department of Medicine Faculty Publications

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Introduction: The HEALS Med-Tech program offers a unique blend of lifestyle changes and technology to improve hypertension (HTN) management in African Americans (AAs), a group disproportionately affected by cardiovascular disease (CVD).

Methods: A randomized controlled trial compared HEALS Med-Tech against usual care for uncontrolled hypertension in AAs, focusing on diet, medication adherence, and telehealth.

Results: In a study of 61 participants, HEALS Med-Tech significantly reduced systolic blood pressure by 12.95 mm Hg (p = 0.008) and 9.19 mm Hg (p = 0.013) at 3 and 12 months, respectively, demonstrating improved hypertension control.

Conclusions: HEALS Med-Tech demonstrates potential in HTN management …

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Positive Airway Pressure And Mask Factors Affective Adherence In Patients With Obstructive Sleep Apnea, Rutvi Sheth, Michel Audette, Soham Sheth

Electrical & Computer Engineering Faculty Publications

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Purpose: Sleep apnea is a major risk factor for cardiovascular disorders. CPAP (Continuous Positive Airway Pressure) therapy is the main treatment for sleep apnea. However, adherence with CPAP remains a concern. Although there are various factors attributed to failure of CPAP therapy, mask related factors are not well studied.

Methods: The study recruited patients with obstructive sleep apnea using CPAP from neurology outpatient clinic at Progressive Neurology and Sleep Center. An IRB (Institutional Review Board) approved questionnaire was administered to evaluate factors affecting CPAP compliance.

Results: The study recruited 24 patients. It showed that almost 50% of the patients did …

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Advancing Chronic Kidney Disease Prediction Through Machine Learning And Deep Learning With Feature Analysis, Shiddarth Dey Tusar, S. M. Ahad Ali Chowdhury, Md. Jalal Uddin Chowdhury, Rana M. Pir, H. M. Nur A. Alam, Muhammad Rezaur Rahman, Md. Nural Absar Siddiky, Muhammad Enayetur Rahman

Electrical & Computer Engineering Faculty Publications

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Chronic Kidney Diesease (CKD) is a significant health issue, ranking as the fourth leading cause of mortality worldwide. The traditional diagnosis and treatment process, reliant on medical experts, is time-consuming. Therefore, thereis an urgent need for more efficient diagnostic methods to improve patient outcomes and reduce mortality rates. In this study, we employ Machine Learning (ML) and Deep Learning (DL) techniques to predict CKD based on important features. Feature analysis was performed using a correlation matrix and the LASSO algo-rithm to identify the most relevant features for model training. We evaluated several ML and DL classifiers, including Logistic Regression (LR), …

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Comparative Analysis Of Machine Learning Models For Predicting Healthcare Traffic: Insights For Optimized Emergency Response, Shadman Mahmood Khan Pathan, Sakan Binte Imran, M. M. Shabab Iqbal, Muhammad Enayetur Rahman, Md. Nurul Absar Siddiky, Muhammad Rezaur Rahman, Md Rafid Hasan, Nondon Lal Dey, Md Sobuj Hossain

Electrical & Computer Engineering Faculty Publications

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Efficient management of healthcare traffic is crucial for ensuring timely access to medical services, particularly in emergency situations where delays can have severe consequences. This study presents a comparative analysis of three widely used machine learning models—Linear Regression, Decision Trees, and Random Forests—aimed at predicting healthcare-related traffic volumes. A large dataset from a metropolitan traffic system was used to train and evaluate the models based on key performance indicators, including Mean Squared Error (MSE), R² Score, and computational efficiency. The results reveal that the Random Forest model offers the best performance, achieving higher predictive accuracy and faster execution times compared …

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Mesoporous Silica Administration As A New Strategy In The Management Of Warfarin Toxicity: An In-Vitro And In-Vivo Study, Fatemeh Farjadian, Fatemeh Parsi, Reza Heidari, Khatereh Zarkesh, Hamid Reza Mohammadi, Soliman Mohammadi-Samani, Lobat Tayebi

Electrical & Computer Engineering Faculty Publications

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Purpose: Warfarin is one of the most widely used anticoagulants that functions by inhibiting vitamin K epoxide reductase. Warfarin overdose, whether intentional or unintentional, can cause life-threatening bleeding. Here, we present a novel warfarin adsorbent based on mesoporous silica that could serve as an antidote to warfarin toxicity.

Method: Amino-functionalized mesoporous silica (MS-NH₂) was synthesized based on the cocondensation method through a soft template technique followed by template removal. The prepared structure and functional group were studied by Fourier transform infrared spectroscopy (FT-IR), and X-ray diffraction (XRD). Scanning electron microscopy (SEM) and transmission electron microscopy (TEM) checked the morphology. The …

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How Should Focus Be Shifted From Individual Preference To Collective Wisdom For Patients At The End Of Life With Antimicrobial-Resistant Infections?, Jeannie P. Cimiotti, Kimberly Adams Tufts, Lucia D. Wocial, Elizabeth Peter

Ellmer School of Nursing Faculty Publications

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Despite growth in numbers of organizational antimicrobial stewardship programs, antimicrobial resistance continues to escalate. Interprofessional education and collaboration are needed to make these programs appropriately responsive to the ethically and clinically complex needs of patients at the end of life whose care plans still require antimicrobial management.

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Successful Management Of Spontaneous Unilateral Twin Ectopic Pregnancy With Two-Step Dose Of Methotrexate, Lauren A. Forbes, Navya Nuthivana, Renee Morales

Department of Obstetrics & Gynecology Faculty Publications

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The incidence of unilateral tubal twin pregnancy is 1/20,000–1/250,000 with about 100 reported cases. Four of the six cases that were medically managed were successful. A 24-year-old female presented to the emergency department (ED) with vaginal bleeding and abdominal cramping. She was hemodynamically stable without signs of an acute abdomen. Laboratory evaluation revealed she was pregnant with a serum beta-human chorionic gonadotropin (b-hCG) of 798 mIU/mL. Transvaginal ultrasound (TVUS) revealed a single left tubal pregnancy with a yolk sac. The patient elected medical management with body surface area (BSA)–based intramuscular (IM) methotrexate (MTX). On Day 4, the patient returned to …

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Exploring Angiotensin Ii And Oxidative Stress In Radiation-Induced Cataract Formation: Potential For Therapeutic Intervention, Vidya P. Kumar, Yali Kong, Riana Dolland, Sandra R. Brown, Kan Wang, Damian Dolland, David Mu, Milton L. Brown

Department of Biomedical and Translational Sciences Faculty Publications

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Radiation-induced cataracts (RICs) represent a significant public health challenge, particularly impacting individuals exposed to ionizing radiation (IR) through medical treatments, occupational settings, and environmental factors. Effective therapeutic strategies require a deep understanding of the mechanisms underlying RIC formation (RICF). This study investigates the roles of angiotensin II (Ang II) and oxidative stress in RIC development, with a focus on their combined effects on lens transparency and cellular function. Key mechanisms include the generation of reactive oxygen species (ROS) and oxidative damage to lens proteins and lipids, as well as the impact of Ang II on inflammatory responses and cellular apoptosis. …

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Enhanced Skin Cancer Diagnosis Through Grid Search Algorithm-Optimized Deep Learning Models For Skin Lesion Analysis, Rudresh Pillai, Neha Sharma, Sheifali Gupta, Deepali Gupta, Sapna Juneja, Saurav Malik, Hong Qin, Mohammed S. Alqahtani, Amel Ksibi

Computer Science Faculty Publications

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Skin cancer is a widespread and perilous disease that necessitates prompt and precise detection for successful treatment. This research introduces a thorough method for identifying skin lesions by utilizing sophisticated deep learning (DL) techniques. The study utilizes three convolutional neural networks (CNNs)-CNN1, CNN2, and CNN3-each assigned to a distinct categorization job. Task 1 involves binary classification to determine whether skin lesions are present or absent. Task 2 involves distinguishing between benign and malignant lesions. Task 3 involves multiclass classification of skin lesion images to identify the precise type of skin lesion from a set of seven categories. The most optimal …

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Identifying Patterns For Neurological Disabilities By Integrating Discrete Wavelet Transform And Visualization, Soo Yeon Ji, Sampath Jayarathna, Anne M. Perrotti, Katrina Kardiasmenos, Dong Hyun Jeong

Computer Science Faculty Publications

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Neurological disabilities cause diverse health and mental challenges, impacting quality of life and imposing financial burdens on both the individuals diagnosed with these conditions and their caregivers. Abnormal brain activity, stemming from malfunctions in the human nervous system, characterizes neurological disorders. Therefore, the early identification of these abnormalities is crucial for devising suitable treatments and interventions aimed at promoting and sustaining quality of life. Electroencephalogram (EEG), a non-invasive method for monitoring brain activity, is frequently employed to detect abnormal brain activity in neurological and mental disorders. This study introduces an approach that extends the understanding and identification of neurological disabilities …

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A Reflection Of Experiences Of Adults With Type 1 Diabetes In Integrated Physical Education Classes, Kalleigh West

Human Movement Studies & Special Education Theses & Dissertations

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The purpose of this study was to gain an understanding of the experiences of type 1 diabetics in integrated physical education classes. In this study, we interviewed young type 1 diabetic adults and asked them to reflect on their school-based physical education experiences. An interpretative phenomenological analysis (IPA) approach was adopted to guide data collection, analysis, and interpretation for this retrospective study. Eight participants (ages 19 to 32) were enrolled in this study, and semi-structured interviews focused on their physical education experiences acted as the primary data. Transcribed interview data were analyzed using an IPA approach. Three interrelated themes emerged …

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Structural Insights Into The Cl-Par-4 Protein: Ionic Requirements, Conformational Transitions, And Interaction With Cisplatin, Krishna Kumar Raut

Chemistry & Biochemistry Theses & Dissertations

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Cancer continues to be the leading global cause of death, with challenges in early diagnosis, drug resistance, non-specific drug targeting, and cancer recurrence and metastasis posing formidable obstacles in cancer therapy. In this context, Prostate Apoptosis Response-4 (Par-4), a pro-apoptotic tumor suppressor protein, emerged as a promising therapeutic target due to its ability to selectively induce apoptosis in cancer cells, thereby minimizing the drug-associated adverse effects. However, a comprehensive understanding of the structural features of Par-4, specifically the caspase-cleaved fragment (cl-Par-4), is crucial for therapeutic advancements.

This dissertation investigated the effects of various ions, both monovalent and divalent, on the …

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