Open Access. Powered by Scholars. Published by Universities.®

Digital Commons Network™

Open Access. Powered by Scholars. Published by Universities.®

2025

Discipline
Institution
Keyword
Publication
Publication Type
File Type

Articles 27091 - 27120 of 31385

Full-Text Articles in Entire DC Network

Dose–Response Effects Of Short-Term Rhodiola Rosea (Golden Root Extract) Supplementation On Anaerobic Exercise Performance And Cognitive Function In Resistance-Trained Athletes: A Randomized, Crossover, Double-Blind, And Placebo-Controlled Study, Majid Koozehchian, Andrew T. Newton, Gina Mabrey, Faith M. Bonness, Rafaela Rafajlovska, Alireza Naderi Jan 2025

Dose–Response Effects Of Short-Term Rhodiola Rosea (Golden Root Extract) Supplementation On Anaerobic Exercise Performance And Cognitive Function In Resistance-Trained Athletes: A Randomized, Crossover, Double-Blind, And Placebo-Controlled Study, Majid Koozehchian, Andrew T. Newton, Gina Mabrey, Faith M. Bonness, Rafaela Rafajlovska, Alireza Naderi

Research, Publications & Creative Work

Background: Rhodiola rosea (RR) is marketed as an adaptogen; however, evidence for acute/short-term effects—and especially dose–response effects—in trained adults across performance and cognition is limited.

Objective: Test whether RR improves resistance performance (strength, power) and executive function in resistance-trained adults using a randomized crossover with placebo and a capsule-free baseline.

Methods: In a randomized, double-blind, crossover trial with four conditions—no-capsule control (CON), placebo (PL), low-dose RR (LDRR), and high-dose RR (HDRR). Twenty-seven resistance-trained adults completed the conditions. Day-7 testing included bench press (BP) and leg press (LP) 1-repetition maximum (1RM); a third set to failure at 60% 1RM with set-3 …


Microbial Remodeling Of Gut Tryptophan Metabolism And Indole-3-Lactate Production Regulate Epithelial Barrier Repair And Viral Suppression In Human And Simian Immunodeficiency Virus Infections, Clarissa Santos Rocha, Katie L. Alexander, Carolina Herrera, Mariana G. Weber, Irina Grishina, Lauren A. Hirao, Dylan J. Kramer, Juan Arredondo, Abigail Mende, Katti R. Crakes, Anne N. Fenton, Maria L. Marco, David A. Mills, John C. Kappes, Lesley E. Smythies, Paul Ziprin, Sumathi Sankaran-Walters, Phillip D. Smith, Satya Dandekar Jan 2025

Microbial Remodeling Of Gut Tryptophan Metabolism And Indole-3-Lactate Production Regulate Epithelial Barrier Repair And Viral Suppression In Human And Simian Immunodeficiency Virus Infections, Clarissa Santos Rocha, Katie L. Alexander, Carolina Herrera, Mariana G. Weber, Irina Grishina, Lauren A. Hirao, Dylan J. Kramer, Juan Arredondo, Abigail Mende, Katti R. Crakes, Anne N. Fenton, Maria L. Marco, David A. Mills, John C. Kappes, Lesley E. Smythies, Paul Ziprin, Sumathi Sankaran-Walters, Phillip D. Smith, Satya Dandekar

Department of Obstetrics & Gynecology Faculty Publications

Gut inflammatory diseases cause microbial dysbiosis. Human immunodeficiency virus-1 (HIV) infection disrupts intestinal integrity, subverts repair/renewal pathways, impairs mucosal immunity and propels microbial dysbiosis. However, microbial metabolic mechanisms driving repair mechanisms in virally inflamed gut are not well understood. We investigated the capability and mechanisms of gut microbes to restore epithelial barriers and mucosal immunity in virally inflamed gut by using a multipronged approach: an in vivo simian immunodeficiency virus (SIV)-infected nonhuman primate model of HIV/AIDS, ex vivo HIV-exposed human colorectal explants and primary human intestinal epithelial cells. SIV infection reprogrammed tryptophan (TRP) metabolism, increasing kynurenine catabolite levels that are …


Association Of Prenatal Exposure To Phthalates And Phenols With Adverse Pregnancy Outcomes, Misa Hayasaka, Diana Aboukhater, George Saade, Tetsuya Kawakita Jan 2025

Association Of Prenatal Exposure To Phthalates And Phenols With Adverse Pregnancy Outcomes, Misa Hayasaka, Diana Aboukhater, George Saade, Tetsuya Kawakita

Department of Obstetrics & Gynecology Faculty Publications

OBJECTIVE:

To evaluate the association between prenatal exposures to phthalates and phenols and adverse pregnancy outcomes, including preterm birth (PTB), small-for-gestational-age (SGA) birth weight, and gestational diabetes mellitus (GDM).

METHODS:

This study analyzed data from the Environmental Influences on Child Health Outcomes consortium, which harmonized longitudinal data on more than 30,000 pregnancies and 57,000 children from 69 cohorts across the United States and Puerto Rico. Pregnancy outcomes included PTB, SGA, and GDM, identified from medical records or self-reports. Generalized estimating equations models with Poisson distribution and robust variance were used to estimate relative risks (RRs) and 95% CIs per interquartile …


Fy 2025 Annual Report, Tenncare (Program) Jan 2025

Fy 2025 Annual Report, Tenncare (Program)

Annual Reports

The pages of this report detail the design and operation of the TennCare program, including eligibility and enrollment information, overviews of the managed care network, budget figures and a summary of the reform initiatives that created the program Tennessee operates today. The report also highlights several notable accomplishments over the past year.


Longitudinal Assessment Of Intravillous Arterioles In Normal Pregnancy Using Superb Microvascular Imaging, R. Horgan, E. Sinkovskaya, G. Saade, E. Kalafat, A. Heeze, A. Abuhamad Jan 2025

Longitudinal Assessment Of Intravillous Arterioles In Normal Pregnancy Using Superb Microvascular Imaging, R. Horgan, E. Sinkovskaya, G. Saade, E. Kalafat, A. Heeze, A. Abuhamad

Department of Obstetrics & Gynecology Faculty Publications

Objective

To use superb microvascular imaging (SMI) to longitudinally evaluate blood flow in intravillous arterioles (IVA) in pregnancy, and to develop reference ranges for IVA pulsatility index (PI) and peak systolic velocity (PSV) from 12 to 38 weeks' gestation.

Methods

The data for this study were obtained from the National Institutes of Health-funded Human Placenta Project. Eligible for inclusion were women aged 18-35 years, with a body mass index of <  30 kg/m², without comorbidities, with a singleton pregnancy conceived spontaneously and a gestational age of ≤ 13 + 6 weeks. Exclusion criteria were maternal or neonatal complications, fetal or umbilical cord anomalies, abnormal placental implantation and delivery <  37 weeks. Each participant underwent eight ultrasound examinations during pregnancy. Using SMI technology, the total number of IVA identified was recorded in a sagittal placental section at the level of cord insertion. The PI and PSV were measured in a total of six IVA (two in the central portion of the placenta, two peripherally towards the uterine fundal portion and two peripherally towards the lower uterine segment). Umbilical artery (UA)-PI was also obtained. Multilevel regression models were used to create reference ranges for IVA-PI and IVA-PSV at 12-38 weeks' gestation.

Results

A total of 90 women fulfilled the study criteria. IVA-PI decreased throughout pregnancy from a mean ± SD of 1.04 ± 0.23 in the first trimester (at 12-13 weeks) …


Mobile Health Intervention Tools Promoting Hiv Pre-Exposure Prophylaxis Among Adolescent Girls And Young Women In Sub-Saharan Africa: Scoping Review, Alex Emilio Fischer, Homaira Hanif, Jacob B. Stocks, Aimee E. Rochelle, Karen Dominguez, Eliana Gabriela Armora Langoni, H. Luz Mcnaughton Reyes, Gustavo F. Doncel, Kathryn E. Muessig Jan 2025

Mobile Health Intervention Tools Promoting Hiv Pre-Exposure Prophylaxis Among Adolescent Girls And Young Women In Sub-Saharan Africa: Scoping Review, Alex Emilio Fischer, Homaira Hanif, Jacob B. Stocks, Aimee E. Rochelle, Karen Dominguez, Eliana Gabriela Armora Langoni, H. Luz Mcnaughton Reyes, Gustavo F. Doncel, Kathryn E. Muessig

Department of Obstetrics & Gynecology Faculty Publications

Background:

In 2022, 3100 adolescent girls and young women in sub-Saharan Africa experienced new HIV infections each week. HIV pre-exposure prophylaxis (PrEP) is effective at preventing HIV but has limited uptake and persistence. Mobile health (mHealth) interventions can improve medication adherence; however, their utility to improve PrEP adherence among adolescent girls and young women is not well established.

Objective:

This scoping review synthesizes evidence supporting mHealth for PrEP among adolescent girls and young women in sub-Saharan Africa and identifies strategies for further evaluation.

Methods:

We searched PubMed and Google Scholar databases, expert referrals, and reference lists using the following eligibility …


American Heart Association Blood Pressure Classification And Subsequent Risk Of Preeclampsia, Rebecca Horgan, Erkan Kalafat, Elena Sinkovskaya, Alfred Abuhamad, George Saade Jan 2025

American Heart Association Blood Pressure Classification And Subsequent Risk Of Preeclampsia, Rebecca Horgan, Erkan Kalafat, Elena Sinkovskaya, Alfred Abuhamad, George Saade

Department of Obstetrics & Gynecology Faculty Publications

Background: In 2017, the American Heart Association (AHA) and American College of Cardiology updated their hypertension guidelines for the nonpregnant population, lowering the diagnostic thresholds to systolic blood pressure ≥130 mmHg or diastolic blood pressure ≥80 mmHg. This reclassification has raised important questions regarding whether blood pressure (BP) values previously considered within the normal range in pregnancy may, in fact, confer an increased risk for hypertensive disorders of pregnancy (HDPs).

Objective: To evaluate the association between first-trimester BP classified by AHA thresholds and the subsequent development of HDPs.

Study design: This was a secondary analysis of a prospective, multicenter cohort …


Mapping Biomedical Ontology Terms To Ids: Effect Of Domain Prevalence On Prediction Accuracy, Thanh Son Do, Daniel B. Hier, Tayo Obafemi-Ajayi Jan 2025

Mapping Biomedical Ontology Terms To Ids: Effect Of Domain Prevalence On Prediction Accuracy, Thanh Son Do, Daniel B. Hier, Tayo Obafemi-Ajayi

Electrical and Computer Engineering Faculty Research & Creative Works

This study evaluates the ability of large language models (LLMs) to map biomedical ontology terms to their corresponding ontology IDs across the Human Phenotype Ontology (HPO), Gene Ontology (GO), and UniProtKB terminologies. Using counts of ontology IDs in the PubMed Central (PMC) dataset as a surrogate for their prevalence in the biomedical literature, we examined the relationship between ontology ID prevalence and mapping accuracy. Results indicate that ontology ID prevalence strongly predicts accurate mapping of HPO terms to HPO IDs, GO terms to GO IDs, and protein names to UniProtKB accession numbers. Higher prevalence of ontology IDs in the biomedical …


Balanced Benchmarking Of Zero-Shot And Rag Approaches For Biomedical Term Normalization, Thanh Son Do, Daniel B. Hier, Tayo Obafemi-Ajayi Jan 2025

Balanced Benchmarking Of Zero-Shot And Rag Approaches For Biomedical Term Normalization, Thanh Son Do, Daniel B. Hier, Tayo Obafemi-Ajayi

Electrical and Computer Engineering Faculty Research & Creative Works

Normalization of medical concepts to an ontology is a key aspect of the natural language processing of biomedical text. It enables the mapping of medical expressions to standardized ontology terms and their identifiers, thereby enhancing the interoperability and computability of medical concepts. Although large language models (LLMs) can identify and standardize medical terms, they may struggle to accurately map ontology terms to their corresponding ontology identifiers. These challenges arise from the stochastic nature of LLMs, their limited exposure to uncommon ontology identifiers during training, and their lack of an integrated lookup mechanism. We generated test sets of synthetic terms to …


Honey-Reram Enabled Sustainable Edge Ai System For Iot Applications, Jinhui Wang, Feng Zhao, Mohammad Rafeeq Khan, Md Mehedi Hasan Tanim, Zoe Templin, Harshvardhan Uppaluru Jan 2025

Honey-Reram Enabled Sustainable Edge Ai System For Iot Applications, Jinhui Wang, Feng Zhao, Mohammad Rafeeq Khan, Md Mehedi Hasan Tanim, Zoe Templin, Harshvardhan Uppaluru

Electrical and Computer Engineering Faculty Research & Creative Works

This paper is toward a promising solution to address the environmental sustainability challenge in computing by building brain-inspired and green non-Von Neumann systems with Resistive Random-Access Memory (ReRAM) made from natural organic materials, honey, for energy-efficient operation, renewable material resources, sustainable device manufacturing, and environmentally-friendly disposal. In this paper, honey-ReRAM and its arrays are firstly manufactured and tested. The resistance modulation mechanism of honey-ReRAM is analyzed and investigated. Then a Computing-in-Memory (CIM) architecture based on honey-ReRAM for edge AI and IoT applications is proposed and evaluated. The experimental results indicate that the proposed edge AI systems with the VGG8 and …


Centralized And Federated Heart Disease Classification Using Uci Dataset: A Benchmark With Interpretability Analysis, Mario Padilla Rodriguez, Eyiara Oladipo, Mohamed Nafea Jan 2025

Centralized And Federated Heart Disease Classification Using Uci Dataset: A Benchmark With Interpretability Analysis, Mario Padilla Rodriguez, Eyiara Oladipo, Mohamed Nafea

Electrical and Computer Engineering Faculty Research & Creative Works

Cardiovascular disease (CVD) is a leading cause of global mortality, highlighting the need for accurate diagnostic methods. This study benchmarks centralized and federated learning (FL) algorithms for heart disease binary classification using the UCI dataset, which includes 920 patient records from four hospitals in the USA, Hungary, and Switzerland. Our benchmark is supported by Shapley-value as well as Local Interpretable Model-agnostic Explanations (LIME) interpretability analyses to quantify feature importance for classification. In the centralized setup, various classification algorithms are trained on pooled data, with the Naive Bayes classifier achieving the highest test accuracy of 81.1%. Further, FL algorithms with four …


Institutionalisation And Institutional Evolution: A Model Of Selecting Government Officials In Ancient China, Haiwen Zhou Jan 2025

Institutionalisation And Institutional Evolution: A Model Of Selecting Government Officials In Ancient China, Haiwen Zhou

Economics Faculty Publications

The evolution of institutions in selecting government officials in ancient China reflected efficiency considerations and increased power concentration in the hands of the ruler. Selecting government officials in ancient China became more rule‐based over time, and standardisation and centralisation were some key features of this process. In this dynamic model, a higher volume of transactions, shown as the number of candidates needed to be evaluated, leads to institutionalisation, which has a higher fixed cost but a lower marginal cost in processing each transaction. In the steady state, a ruler with a more encompassing interest chooses a higher level of institutionalisation. …


The Impacts Of Permafrost Thaw Slumps On Arctic Stream Ecology, Maria Dolan Jan 2025

The Impacts Of Permafrost Thaw Slumps On Arctic Stream Ecology, Maria Dolan

Theses and Dissertations (Comprehensive)

Climate change is intensifying permafrost thaw across terrain of the circumpolar Arctic. Increased temperatures and rainfall at northern latitudes have resulted in the expansion of thermokarst features such as retrogressive thaw slumps, which make previously frozen debris available for transport into nearby river systems. In the Peel Plateau, Northwest Territories, the mobilization of these materials exposes rivers to a large quantity of sediment and solutes that may act as a chronic, press disturbance, potentially altering stream food webs. Here, I examine if: 1) thaw slumps have driven changes to the physical and biological properties of slump impacted streams since an …


Reversible Degradation Of Peptidoglycan By Lytic Transglycosylases, Aaron Devereaux Jan 2025

Reversible Degradation Of Peptidoglycan By Lytic Transglycosylases, Aaron Devereaux

Theses and Dissertations (Comprehensive)

Antimicrobial resistance continues to be a burden on the global healthcare system with an estimated cost of billions of dollars and millions of deaths each year. Recently, there has been little to no development on new antibiotics to treat bacterial infection, and any that are developed become resisted to within a few years. Both Gram-positive and Gram-negative bacteria contain a mesh-like layer called peptidoglycan (PG) that surrounds their cells providing strength, cell shape, and protection from their environments. This layer is a polymer of N-acetylmuramic acid (MurNAc) and N-acetylglucosamine (GlcNAc) connected via a b-1,4-glycosidic bond, with each strand being cross-linked …


Exploring Mating Patterns: The Interplay Of Genes, Environment, And Their Evolutionary Outcomes, Sanduni Talagala Jan 2025

Exploring Mating Patterns: The Interplay Of Genes, Environment, And Their Evolutionary Outcomes, Sanduni Talagala

Theses and Dissertations (Comprehensive)

There is great variation in the reproductive tactics exhibited both between and within different species, which is reflected in how individuals engage in mate assessment, mate choice and offspring production. It is therefore important to understand general mating patterns of populations, the factors that influence these mating patterns, and the consequences they carry, in order to get a more holistic understanding of mating systems. This doctoral research represents a multi-pronged investigation of the factors shaping mating patterns and their consequences, how environmental factors influence mating patterns, and how both genotypes and the environment interact to influence mate choice decisions and …


Dictyostelids: The Second Major Group Of Slime Molds, P. Liu, Z.J. Zhang, J.H. Ge, Y. Zou, Z. Li, S. Li, Y. Li, S.L. Stephenson Jan 2025

Dictyostelids: The Second Major Group Of Slime Molds, P. Liu, Z.J. Zhang, J.H. Ge, Y. Zou, Z. Li, S. Li, Y. Li, S.L. Stephenson

Biological Sciences Faculty Publications and Presentations

The dictyostelids (also called cellular slime molds or social amoebae) are among the more abundant and widespread groups of microorganisms in terrestrial ecosystems. Despite this fact, they are totally unknown to most people, who sometimes confuse the dictyostelids with myxomycetes (or plasmodial slime molds). The first dictyostelid (Dictyostelium mucoroides) was described by the German Oskar Brefeld in 1869. More than 180 species are now known, and these organisms have been recorded from the high arctic to the subantarctic. The primary microhabitat for dictyostelids is the soil/humus layer on a forest floor, but they also occur in a number of other …


The Neuroscience Of Evidentiary Rules: The Case Of The Present Sense Impression, Christopher S. Sundby Jan 2025

The Neuroscience Of Evidentiary Rules: The Case Of The Present Sense Impression, Christopher S. Sundby

SMU Law Review

The Federal Rules of Evidence (FRE) play a critical role in federal trials by determining what evidence the jury will be allowed to hear. Nonetheless, the rules are largely premised on untested psychological assumptions. The Present Sense Impression Rule (PSIR), for example, is an exception to the general ban against hearsay based on the assumptions that statements about contemporaneous events have fewer memory errors; are less likely to be lies; and, when they are lies, that listeners are better able to detect the lie than if the declarant has had time to prepare.

The rule, in other words, is based …


Socially Responsible Ai In The Gpt Era, Yussuf A. Aleem Jan 2025

Socially Responsible Ai In The Gpt Era, Yussuf A. Aleem

SMU Law Review

Recent advancements in artificial intelligence (AI) showcase its rapid evolution and promise, with the potential to profoundly transform decision-making, self-expression, and even the practice of law. However, AI also presents formidable challenges, including the further entrenchment of societal inequalities, widespread labor disruption, and existential threats to humanity. Modern AI systems show early signs of general intelligence, enabling them to perform a wide range of tasks beyond those of chatbots in both virtual and physical environments. Despite industry assurances of responsible AI development, these technologies are easily exploited and often exhibit troubling behaviors that even their creators struggle to understand.

This …


Ready Or Not: How Congressional Dysfunction And Loper Bright Enterprises V. Raimondo Will Shift U.S. Regulation Of Emerging Technologies To The Federal Bench, Michelle Benedetto Neitz Jan 2025

Ready Or Not: How Congressional Dysfunction And Loper Bright Enterprises V. Raimondo Will Shift U.S. Regulation Of Emerging Technologies To The Federal Bench, Michelle Benedetto Neitz

SMU Law Review

This Article is the first in legal academic literature to consider how the power shift generated by Congressional dysfunction and the Supreme Court’s decision in Loper Bright Enterprises v. Raimondo will affect emerging technology law. Power is moving toward the judicial branch of government— and away from the legislative and executive branches. As a result, federal courts will now take a leading role in the evolution of emerging technology law in the United States.

Unfortunately, the federal judiciary is not prepared for this new era. Drawing from the information processing theory, this Article explains why federal judges will be deciding …


Long Oligos: Direct Chemical Synthesis Of Genes With Up To 1728 Nucleotides, Yipeng Yin, Reed Arneson, Yinan Yuan, Shiyue Fang Jan 2025

Long Oligos: Direct Chemical Synthesis Of Genes With Up To 1728 Nucleotides, Yipeng Yin, Reed Arneson, Yinan Yuan, Shiyue Fang

Michigan Tech Publications

The longest oligos that can be chemically synthesized are considered to be 200-mers. Here, we report direct synthesis of an 800-mer green fluorescent protein gene and a 1728-mer Φ29 DNA polymerase gene on an automated synthesizer. Key innovations that enabled this breakthrough include conducting the synthesis on a smooth surface rather than within the pores of traditional supports, and the use of the powerful catching-by-polymerization (CBP) method for isolating the full-length oligos from a complex mixture. Conducting synthesis on a smooth surface not only eliminated the steric hindrance that would otherwise prevent long oligo assembly, but also, surprisingly, drastically reduced …


Birth On Mother Earth: Mitigating The Maternal Health Crisis, Jill C. Engle Jan 2025

Birth On Mother Earth: Mitigating The Maternal Health Crisis, Jill C. Engle

Faculty Scholarship

Maternal health outcomes in the U.S. are remarkably poor, especially when compared to those in other industrialized countries. For example, our maternal death rate is more than twice that of Canada’s. Women of color in the U.S. suffer maternal morbidity and mortality at rates considerably higher than white women. Indigenous women experience the worst maternal health outcomes of all. Yet, most maternal deaths and injuries are preventable. Furthermore, rates of maternal harm, including death, are lower when midwives and similar birthing attendants are involved. This Article is the first to fully explore the unique skillset of traditional birth attendants (TBAs). …


Assessing Gender Differences In The Students’ Academic Performance, Aptitude, Emotional Intelligence And Grit, Farheen Nasir, Athari Almuraikhi, Asma Alkusayer, Fatima Saeed, Abdulmohsen Alkushi, Areej S. Alowfi, Muhammad Alghaihab, Faizan Nasir Jan 2025

Assessing Gender Differences In The Students’ Academic Performance, Aptitude, Emotional Intelligence And Grit, Farheen Nasir, Athari Almuraikhi, Asma Alkusayer, Fatima Saeed, Abdulmohsen Alkushi, Areej S. Alowfi, Muhammad Alghaihab, Faizan Nasir

Health Professions Education

Purpose: This research aimed to assess gender differences in academic performance, aptitude, emotional intelligence, and grit among the students.

Method: The sample included 302 students (250 females and 52 males) from Saudi health sciences institutes, located in Riyadh, Jeddah and Alahsa. Data collection was done through Google Forms which was based on demographic information, Self-Report Measure of Emotional Intelligence and Grit Scales. Results: Statistical analysis was done through STATA-16 by applying ANOVA. Results indicated a significant gender difference in students’ CGPA, aptitude and emotional intelligence. However, there was an insignificant gender difference in students’ grit scores. Conclusion: The findings show …


Social Network Sites: Use, Perception Of Addiction And Health Risks Among Nursing Students In Meknes Morocco, Rachida Archou, Meriem Ouadrhiri, Rajae Lamsyah, Maryem Rhanoui, Mustapha Boucetta, Mounia Mikram, Kamelia Amazian, Rachid Aalouane Jan 2025

Social Network Sites: Use, Perception Of Addiction And Health Risks Among Nursing Students In Meknes Morocco, Rachida Archou, Meriem Ouadrhiri, Rajae Lamsyah, Maryem Rhanoui, Mustapha Boucetta, Mounia Mikram, Kamelia Amazian, Rachid Aalouane

Health Professions Education

Objectif : Le nombre d'utilisateurs des réseaux sociaux est en constante augmentation et les jeunes représentent la catégorie la plus attirée par ces sites. Cependant, une utilisation incontrôlée des réseaux sociaux peut entraîner de graves problèmes de santé physique et psychologique. Par conséquent, cette étude vise à déterminer la dépendance perçue aux réseaux sociaux et son impact sur la santé des étudiants infirmiers marocains.

Méthodes : Il s'agit d'une étude transversale. Les données ont été collectées auprès de 300 étudiants infirmiers marocains à l'aide d'un questionnaire auto-administré et pré-testé. Le questionnaire est divisé en trois sections : a) données démographiques, …


Evaluating The Impact Of Orientation On Study Approaches Among First-Year Medical Students: A Quantitative Study In A Rural Us Medical School Using The Modified Assist Questionnaire, Kodjo Agbowou, Dmitry Tumin, Robert Lust, David Gilbert Jan 2025

Evaluating The Impact Of Orientation On Study Approaches Among First-Year Medical Students: A Quantitative Study In A Rural Us Medical School Using The Modified Assist Questionnaire, Kodjo Agbowou, Dmitry Tumin, Robert Lust, David Gilbert

Health Professions Education

This study explores the impact of medical school orientation on student’s adoption of deep and strategic study approaches. At our rural Southeastern US medical school, the 2023 orientation was redesigned to include comprehensive sessions on study resources, time management, and curriculum structure.

Method

To evaluate the changes in students' study approaches, we used the modified Approaches to Study Skills Inventory for Students (ASSIST) questionnaire before and after orientation. Thirty-seven students completed the pre-orientation survey, and 17 provided complete data for analysis.

Results

At baseline, students showed a stronger preference for the strategic learning approach (median score: 26, IQR: 25–28) compared …


Uncovering The Perceptions Of Grades In Dentistry Students: How Are Grades Impacting Learning & Clinical Development?, Jenna J. Yuen, Andrew Horne, Tyler S. Beveridge, Sarah Mclean Jan 2025

Uncovering The Perceptions Of Grades In Dentistry Students: How Are Grades Impacting Learning & Clinical Development?, Jenna J. Yuen, Andrew Horne, Tyler S. Beveridge, Sarah Mclean

Health Professions Education

Purpose. Educators have noted that grades may have negative impacts on students’ clinical performance; however, dental students’ perceptions of grading practices remains unknown. This study aims to: (i) identify the most prevalent grade perceptions and the underlying driving factors, and (ii) explore how students perceive the impact of grades on their learning and clinical development.

Methods. To address our aims, we used a mixed-methods research approach with a population of dentistry students at our institution. We distributed online surveys (Winter 2021; n=68), and conducted virtual semi-structured interviews (Fall 2021; n=6) and a focus group (Fall …


Multi-Ancestry Genome-Wide Meta-Analysis Of 56,241 Individuals Identifies Known And Novel Cross-Population And Ancestry-Specific Associations As Novel Risk Loci For Alzheimer's Disease, Farid Rajabli, Bruno A. Bonitez, Nigel J. Cairns, John C. Morriswashington University School Of Medicine In St. Louis, Carlos Cruchaga, Oscar Harari, Laura Ibanez, Et Al. Jan 2025

Multi-Ancestry Genome-Wide Meta-Analysis Of 56,241 Individuals Identifies Known And Novel Cross-Population And Ancestry-Specific Associations As Novel Risk Loci For Alzheimer's Disease, Farid Rajabli, Bruno A. Bonitez, Nigel J. Cairns, John C. Morriswashington University School Of Medicine In St. Louis, Carlos Cruchaga, Oscar Harari, Laura Ibanez, Et Al.

2020-Current year OA Pubs

No abstract provided.


Editorial: To Know Or Not To Know: Causes And Evolution Of Lack Of Awareness Of Cognitive Decline In Neurodegenerative Diseases, Volume Ii, Federica Cacciamani, Kristy A. Nielson, Bernard J. Hanseeuw, Geoffroy P. Gagliardi, Patrizia Vannini Jan 2025

Editorial: To Know Or Not To Know: Causes And Evolution Of Lack Of Awareness Of Cognitive Decline In Neurodegenerative Diseases, Volume Ii, Federica Cacciamani, Kristy A. Nielson, Bernard J. Hanseeuw, Geoffroy P. Gagliardi, Patrizia Vannini

Psychology Faculty Research and Publications

Anosognosia, or the lack of awareness of cognitive, behavioral, or functional deficits, represents a critical challenge in the clinical management of neurodegenerative diseases such as Alzheimer's disease (AD) and frontotemporal dementia. This condition not only impacts patients, caregivers, and healthcare systems (D'Souza et al., 2011; Turró-Garriga et al., 2013) but also raises important questions about its underlying mechanisms and evolution (Hanseeuw et al., 2020; Starkstein, 2014; Vannini et al., 2017). Despite its critical importance, significant gaps remain in our understanding of cognitive self-awareness in neurodegenerative diseases. Building on the momentum of the first edition of To Know or Not to …


Microwave Photonics-Assisted Interrogation Of Fiber-Optic Interferometric Sensors With Joint Frequency-Time Domain Analysis, Ruimin Jie, Jie Huang, Chen Zhu Jan 2025

Microwave Photonics-Assisted Interrogation Of Fiber-Optic Interferometric Sensors With Joint Frequency-Time Domain Analysis, Ruimin Jie, Jie Huang, Chen Zhu

Electrical and Computer Engineering Faculty Research & Creative Works

Fiber-optic interferometers are widely used in localized sensing applications due to their compact size, high sensitivity, and immunity to electromagnetic interference. In this paper, we propose and experimentally demonstrate a novel interrogation scheme for fiber-optic interferometric sensors, utilizing microwave photonics (MWP) and joint frequency-time domain analysis. As a proof of concept, a miniature fiber in-line Fabry-Perot interferometer (FPI) is integrated with a microwave photonic single-passband filter, enhanced by a dispersion compensation module to improve sensing performance. By applying an inverse Fourier transform to the system's complex frequency response, the time-domain representation of the signal is obtained, translating spectral shifts of …


Book Review Of Philosophical Fragments As The Poetry Of Thinking: Romanticism And The Living Present By Luke Fischer, Michael Vater Jan 2025

Book Review Of Philosophical Fragments As The Poetry Of Thinking: Romanticism And The Living Present By Luke Fischer, Michael Vater

Philosophy Faculty Research and Publications

No abstract provided.


Icu-Length Of Stay Prediction On Electronic Health Records Using Graph Neural Networks And Homogeneous Similarity Graphs, Ahmad F. Al Musawi, Pratip Rana, Sibtanu Raha, Joshua Braunstein, William C. Sleeman Iv, Rishabh Kapoor, Preetam Ghosh Jan 2025

Icu-Length Of Stay Prediction On Electronic Health Records Using Graph Neural Networks And Homogeneous Similarity Graphs, Ahmad F. Al Musawi, Pratip Rana, Sibtanu Raha, Joshua Braunstein, William C. Sleeman Iv, Rishabh Kapoor, Preetam Ghosh

Computer Science Faculty Publications

Predicting the length of stay (LoS) is important for hospital administration, as it helps allocate proper resources, such as bed management and hospital staffing. Patients' Electronic Health Records (EHRs) contain highly relevant data for LoS prediction; however, their integration and effective use in predictive modeling for accurately estimating LoS remain challenging. To address this, we propose a homogeneous Graph Neural Network (GNN)-based framework for predicting LoS. This method employs a comprehensive data fusion strategy based on the hospital Visit-based Similarity Graph (VSG), which integrates diverse multi-modal clinical features into a coherent, homogeneous graph representation. Next, this VSG is fed into …