Digital Commons Network^™

Adaptive Bayesian Clinical Trials: The Past, Present, And Future Of Clinical Research, Donald A Berry

Faculty, Staff and Student Publications

Background/Objectives: Decision-analytic Bayesian approaches are ideally suited for designing clinical trials. They have been used increasingly over the last 30 years in developing medical devices and drugs. A prototype trial is a bandit problem in which treating participants is as important as treating patients in clinical practice after the trial.

Methods: This article chronicles the use of the Bayesian approach in clinical trials motivated by bandit problems. It provides a comprehensive historical and practical review of Bayesian adaptive trials, with a focus on bandit-inspired designs.

Results: The 20th century saw advances in Bayesian methodology involving computer simulation. In the …

Food Literacy Program Among Adults In A Primary Care Setting, Marie K. Williams

Student Scholarly Projects

Practice problem: The increase in preventable chronic diseases is associated with food illiteracy, which arises from a lack of understanding of nutritional value and dietary guidelines (Silva et al., 2023).

PICOT: (P) In adult primary care patients aged 30-75 years, (I) does the implementation of evidence-based food literacy program (C) compared to standard practice (O) improve food literacy (T) in eight weeks?

Evidence: Using a validated food literacy questionnaire effectively measures improvements in food literacy. Customized programs that fill knowledge gaps are essential for enhancing overall food literacy. Intervention: Customized educational tools were provided to participants based on their knowledge …

Cancer Screening Uptake And Usual Source Of Care Among Hispanic Survivors Of Adolescent And Young Adult Cancer, Eunju Choi, Amy M Berkman, Clark R Andersen, John M Salsman, Andrea C Betts, Joel Milam, Kimberly A Miller, Susan K Peterson, Qian Lu, Christabel K Cheung, Lauren V Ghazal, J A Livingston, Michelle A T Hildebrandt, Susan K Parsons, David R Freyer, Michael E Roth

Faculty, Staff and Student Publications

Purpose: This study examines cancer screening rates and the usual source of care among Hispanic survivors of adolescent and young adult (AYA, aged 15-39) cancer, a group at increased risk for poor health outcomes, including secondary cancers.

Methods: National Health Interview Survey data were analyzed to identify Hispanic survivors of AYA cancer and Hispanic age- and sex-matched non-cancer controls. Breast, cervical, and colorectal screening (ever screened and up-to-date according to the U.S. Preventive Services Task Force recommendations) as well as reporting a usual source of care were compared among survivors and controls eligible for screening using multivariable logistic regressions.

Results: …

Efficient Packaging Of Hiv-1 Genomes Via Recognition Of Its Adenosine-Rich Content By A Heterologous Rna-Binding Domain, Hung Ryan Vuong

Arts & Sciences Graduate Student Theses and Dissertations

RNA-protein interactions underlie many key processes in viral replication and antiviral immune responses. In this thesis, I reported our investigations on the roles of two RNA-binding proteins, Gag and IFIT1, in mediating HIV-1 genome packaging and regulating innate immune gene expression, respectively. The HIV-1 genome comprises a dimer of unspliced, positive sense mRNA (gRNA) that is packaged with high efficiency, with more than 90% of viral particles containing two copies of gRNA. Gag is the major HIV-1 structural protein that coordinates all steps of virion assembly and possesses a nucleocapsid domain (NC) required for gRNA binding and genome packaging. In …

Imaging Efficacy And Safety Of Low Dose Intraventricular Tissue Plasminogen Activator In Aneurysmal Subarachnoid Hemorrhage: Case Series, Collin Liu, William W Wroe, Hussein A Zeineddine, Bryden Dawes, Michael Giordano, Aaron Mccabe, Ching-Jen Chen, Devin W Mcbride, Aaron M Gusdon, Huimahn A Choi, Spiros L Blackburn

Faculty, Staff and Student Publications

Introduction: Free hemoglobin's release into CSF from blood breakdown is a primary instigator of delayed cerebral ischemia (DCI) after aneurysmal subarachnoid hemorrhage (aSAH). Early clearance of subarachnoid blood with intrathecal (IT) fibrinolytics has shown potential to decrease incidence of DCI. However, the dosage of fibrinolytic needed is not known. We investigated the ability of low dose tissue plasminogen activator (tPA) to rapidly remove subarachnoid clot.

Material and methods: We performed a single center retrospective review of aSAH patients who received IT tPA. Dosing consistent with the CLEAR III trial for IVH was utilized-tPA (1 mg) administered every 8 h via …

Longitudinal Associations Between Waking Movement Behaviors And Health-Related Quality Of Life In Older Adults: A Compositional Data Analysis Approach, Jaclyn P. Maher, Alexander Jochim, Yeongjun Seo, Brynn L. Hudgins, Iman F. Khan, Peyton A. Greco, Emily M. Postlehwait, Om L. Patel, Krista S. Leonard, Chih-Hsiang Yang, Denver M. Y. Brown

Faculty Publications

Objectives

Movement behaviors, such as sedentary behavior (SB), light intensity physical activity (LPA), and moderate to vigorous intensity physical activity (MVPA) are mutually exclusive, in that time spent in one behavior inevitably displaces time spent in another. Yet, few studies have simultaneously considered these health behaviors and their association with health-related quality of life (HRQoL), an important indicator of health and well-being in aging populations. This study aimed to explore the role of waking movement behaviors (i.e., SB, LPA, MVPA) in prospectively predicting HRQoL in older adults. The study further aimed to cross-validate associations between movement behaviors and HRQoL using …

The Influence Of Myocardin Effector Genes On The Tgf-Beta Smad3 Signaling Pathway In Human Pleural Mesothelial Cells, Hema Chandra Hrushi Dusharla

Biotechnology Theses

Pleural Fibrosis (PF) involves excessive extracellular matrix (ECM) deposition, mainly by myofibroblasts, leading to pleural thickening and impaired lung function. Pleural mesothelial cells (PMCs) contribute via mesothelial and mesenchymal transition (MesoMT), triggered by cytokines like TGF-β. Our lab identified Myocardin (MyoCD), a transcriptional co-activator of cardiac and smooth muscle, is a master regulator of pleural fibrosis through interactions with serum response factor (SRF) and Smad2/3 transcription factors which initiate fibrosis signaling. RNA sequencing and qPCR analysis revealed that silencing MyoCD decreased the expression of CTNNB1, MDFI, and Tspan2. MDFI emerged as a potent candidate, as this gene affecting the expression …

Using The Safety Scissors: Dna Resection Regulation At Dna Double-Strand Breaks And Telomeres, Michael M, Soniat, Logan R. Myler

Department of Biochemistry and Molecular Biology Faculty Papers

DNA resection is a universal process in genome maintenance by which one strand of DNA is degraded, leaving the other strand intact. This sometimes highly processive process is critical for many forms of DNA damage repair, replication-coupled repair, meiotic recombination, and telomere maintenance. Therefore, resection must be tightly regulated to prevent genome instability and promote faithful and accurate repair. Here, we review what is known about how resection functions and how it is controlled, using DNA double-strand break repair and telomere maintenance as examples. We address how resection is regulated in three independent steps: resection initiation, long-range processing, and termination. …

The Microtubule-Severing Enzyme Spastin Regulates Spindle Dynamics To Promote Chromosome Segregation In Trypanosoma Brucei, Thiago Souza Onofre, Qing Zhou, Ziyin Li

Faculty, Staff and Student Publications

Microtubule-severing enzymes play essential roles in diverse cellular processes, including mitosis and cytokinesis, by modulating microtubule dynamics. In the early branching Trypanosoma brucei, microtubule-severing enzymes are involved in cytokinesis and flagellum length control, but none of them have been found to regulate mitosis. Here we report the characterization of the microtubule-severing enzyme spastin in the procyclic form of T. brucei. We demonstrate that spastin severs microtubule in vitro and overexpression of spastin disrupts spindle microtubules in vivo in trypanosomes, leading to defective chromosome segregation. Knockdown of spastin impairs spindle integrity and disrupts chromosome alignment and segregation. We further show that …

New Paradigms In E. Coli Hemolysin Function And Pathogenesis, Hunter Winston Kuhn

Arts & Sciences Graduate Student Theses and Dissertations

Bacterial pore-forming toxins are potent secreted protein effectors that disrupt cellular ion homeostasis by integrating into the plasma membrane. Among them, the RTX toxin alphahemolysin (HlyA) from uropathogenic Escherichia coli (UPEC) has been extensively studied for its hemolytic activity, broad cell tropism, and role in virulence. HlyA was identified as the first type 1 secreted substrate, with β2 integrin CD18/LFA-1 proposed as its receptor. However, its diverse mechanisms of cellular toxicity and impact on outcomes of urinary tract infection (UTI) have remained incompletely defined. During pyelonephritis, renal epithelial cells are at the front line of infection, directly contacting ascending UPEC …

A Caffeine And Theacrine Combination Improves Cognitive Performance In Tactical Personnel Under Physically Fatiguing Conditions, Blaine S. Lints, Adam T. Harrison, Sten O. Stray-Gundersen, Gianna F. Mastrofini, Riccardo F. Romersi, Noah K. Nakagawa, Mackenzie B. Yonder, Chimaobim E. Martin-Diala, Alexa J. Chandler, R. Davis Moore, Shawn M. Arent Ph.D., Cscs*D, Fissn, Facsm, Fnak

Faculty Publications

Background

Optimizing human performance under stressful physical and cognitive conditions is paramount during high-stakes military operations. As such, interventions to improve warfighter performance by mitigating task-induced cognitive performance deficits are necessary. While caffeine is the most widely consumed psychoactive substance in the world, common side effects (i.e. anxiousness, micro-saccades, irritability) may be detrimental to warfighter operations. Theacrine, a purine alkaloid similar in structure to caffeine but with a longer half-life, less habituation, and fewer side effects, is proposed as a caffeine-alternative to enhance cognitive resilience.

Methods

Tactically trained participants (n = 20; F = 5; M = 16; age …

Identification Of A Qtl Region For Tomato Brown Rugose Fruit Virus Resistance In Solanum Pimpinellifolium, Namrata Jaiswal, Bazgha Zia, Bidisha Chanda, Andrea Gillard, Ainong Shi, Kai-Shu Ling

Horticulture Faculty Publications and Presentations

Tomato (Solanum lycopersicum L.), one of the most widely grown vegetables in the world, has been seriously impacted in the past decade by the emerging tomato brown rugose fruit virus (ToBRFV). ToBRFV is a seed-borne tobamovirus, with ability to overcome the commonly used Tm-22 resistance gene in tomato. The objective of this study was to conduct quantitative trait locus (QTL) mapping and identify single-nucleotide polymorphism (SNP) markers associated with ToBRFV resistance in tomato. Two F2 populations were used for QTL mapping: One derived from a cross between S. pimpinellifolium USVL333 (PI 390718) x USVL332 (PI 390717) and another from 'Moneymaker' …

Greenhouse Evaluation Of Great Plains Native Grasses And Forbs Tolerance To Postemergence Herbicides Used For Roadside Weed Control, Rachel C. Woody-Pumford, Matthew B. Bertucci, Mike D. Richardson, Dirk Philipp, Hannah E. Wright-Smith

Horticulture Faculty Publications and Presentations

To combat the decline in North American grasslands and prairies, innovative strategies to establish new native grass and forb plantings must be considered. Integrated vegetation management entails the use of many practices to cultivate desirable vegetation along roadsides, including mowing, applying herbicides, burning, and replanting. Currently, only a limited selection of postemergence herbicides are available to improve native plant establishment along roadsides. A greenhouse herbicide screen that included four postemergence herbicides registered for use on Conservation Reserve Program (CRP) acres and rights-of-way was conducted to test their safety for use on four native grasses (big bluestem, buffalograss, sideoats grama, and …

Timing Of Nodal Metastasis In Patients With Eyelid Sebaceous Carcinoma And Implications For Surveillance And Survival, Tracy Lu, Casey Anthony, Xinyang Jiang, Jing Ning, Ryan Goepfert, Bita Esmaeli

Faculty, Staff and Student Publications

Background/aims: Sebaceous carcinoma (SC) is a rare cancer with periocular predilection. Studies focused on patterns and timing of nodal metastasis are scarce.Our aim is to report patterns of regional nodal metastasis in patients with eyelid SC, including results of sentinel lymph node biopsy (SLNB).

Methods: All consecutive patients with eyelid SC treated during 1999-2023 were retrospectively reviewed.All subjects had standard of care surgery for eyelid SC and regional lymph node evaluation using physical examination and ultrasonography (US) at baseline and during the surveillance period. 38 patients with negative findings on US had SLNB to rule out microscopic metastasis.The frequency and …

Biochar Type And Rate Effects On Greenhouse Gas Emissions Fromfurrow-Irrigated Rice, Lauren Gwaltney, Kristofor R. Brye, Diego Della Lunga, Trenton L. Roberts, Samuel B. Fernandes, Mike B. Daniels

Crop, Soil and Environmental Sciences Faculty Publications and Presentations

Biochar is a relatively new, potential climate-mitigation strategy, but biochar still requires investigation regarding biochar's ability to reduce greenhouse gas (GHG) emissions. Little research has been conducted to quantify the impacts of biochar on GHG production from upland (i.e., furrow-irrigated) rice (Oryza sativa) production systems. The objective of this study was to evaluate the effects of wood biochar type (powder and coarse particle size) and application rate (0, 2.5, and 5 Mg ha-1) on GHG emissions in greenhouse-grown, simulated furrow-irrigated rice grown in a silt-loam soil. Carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) fluxes were measured weekly throughout …

Collaborative Class Zine: Weekly Reflection Assignment With Powerpoint Template, Brett Whysel

Open Educational Resources

Abstract

This collaborative class zine assignment uses a shared PowerPoint format to deepen student learning while building community. Students contribute visual reflections (graphics, diagrams, quotes, or doodles) weekly or periodically throughout the semester. Faculty provide reflection prompts about key takeaways and unclear concepts (sample prompts included). The resource includes both sample LMS instructions and a ready-to-use PowerPoint zine template that works across all disciplines. By combining metacognitive reflection with creative expression, students consolidate learning by finding new connections and applications. The collaborative format creates community connections and joy while students learn from peers' diverse perspectives.

The Effect Of Transformer Based Pre-Trained Language Models On Biomedical Relation Extractions, Eman Saad, Sherif Kishk, Amr Ali-Eldin, Ahmed I. Saleh

Mansoura Engineering Journal

Biomedical relation extraction represents a critical advancement in healthcare research. As the volume of biomedical publications continues to grow exponentially, efficient extraction of entity relationships has become essential for accelerating knowledge discovery, drug development, and precision medicine initiatives. The field has evolved from focusing on simple binary relations, such as Protein-Protein Interactions (PPI), which are fundamental to understanding cellular processes and therapeutic development, to addressing more complex multi-class classification challenges like Drug-Drug Interactions (DDI) and Chemical-Protein Interactions (CPI).Pre-trained language models have become the cornerstone of modern approaches of extracting biomedical relations. Models like BioBERT, PubMedBERT, and SciBERT, along with general-purpose …

Designing Context-Specific Physical Activity Interventions For English Primary Schools: Key Learning From A Four-Month Rapid Ethnography, Robert Walker, Danielle House, Simona Kent-Saisch, Alice Porter, Ruth Salway, Lydia Emm-Collison, Michael W. Beets Med, Mph, Phd, David Revalds Lubans, Frank De Vocht, Russell Jago

Faculty Publications

Background

Physical activity is essential for children’s health. Primary schools offer an opportunity to equitably promote physical activity. However, school-based interventions have been shown to have little to no effect, potentially due to a lack of consideration of school heterogeneity. This study reports on a rapid ethnography study that was used to capture insights into English primary schools physical activity. The data are intended to inform the design of a context-specific intervention to improve pupil physical activity.

Methods

Three researchers conducted a four-month rapid ethnography study within three primary schools in Bristol, UK, between March and July 2024. Several methods …

Detection Of Neuron Derived Cfdna In Blood Plasma: A New Diagnostic Approach For Neurodegenerative Conditions, Chad Alan Pollard

Theses and Dissertations

Neurodegenerative diseases such as Alzheimer’s disease (AD), Parkinson’s disease (PD), and amyotrophic lateral sclerosis (ALS) are characterized by the progressive loss of distinct neuronal subtypes, yet current diagnostic tools are either invasive, limited in resolution, or poorly suited for early detection and longitudinal monitoring. This dissertation began with a proof-of- concept study using bisulfite-PCR at a neuron-enriched locus to detect cortical neuron-derived cell-free DNA (cfDNA) in AD plasma samples, establishing the potential of cfDNA as a marker of neuronal injury. Building on these preliminary findings, a novel framework was developed utilizing Oxford Nanopore Technologies (ONT) to profile genome-wide native DNA …

Granulocyte-Colony Stimulating Factor Effects On The Mesolimbic Dopamine Circuitry And Adaptations With Chronic Ethanol Exposure, Rachel Ji-Hyae Campbell

Theses and Dissertations

The mesolimbic dopamine (DA) system contributes to reward and reinforcement learning for ethanol (EtOH). The nucleus accumbens (NAc) receives DA input from the ventral tegmental area (VTA) encoding rewarding information. Acute EtOH increases NAc DA levels, and this DA response is attenuated with chronic EtOH exposure. Furthermore, chronic EtOH results in reduced DA release, increased DA clearance and presynaptic D2-type auto-receptor sensitization. Further research into EtOH-induced neural adaptations that modulate NAc DA release is explored herein, including changes in cholinergic interneurons (CIN), which are known regulators of DA transmission. One potential class of regulators are immune related cytokines, that can …

Designing Context-Specific Physical Activity Interventions For English Primary Schools: Key Learning From A Four-Month Rapid Ethnography, Robert Walker, Danielle House, Simona Kent-Saisch, Alice Porter, Ruth Salway, Lydia Emm-Collison, Michael Beets Med, Mph, Phd, David Revalds Lubans, Frank De Vocht, Russell Jago

Faculty Publications

Background

Physical activity is essential for children’s health. Primary schools offer an opportunity to equitably promote physical activity. However, school-based interventions have been shown to have little to no effect, potentially due to a lack of consideration of school heterogeneity. This study reports on a rapid ethnography study that was used to capture insights into English primary schools physical activity. The data are intended to inform the design of a context-specific intervention to improve pupil physical activity.

Methods

Three researchers conducted a four-month rapid ethnography study within three primary schools in Bristol, UK, between March and July 2024. Several methods …

A Two-Stage Dual-Task Learning Strategy For Early Prediction Of Pathological Complete Response To Neoadjuvant Chemotherapy For Breast Cancer Using Dynamic Contrast-Enhanced Magnetic Resonance Images, Bowen Jing, Jing Wang

Faculty, Staff and Student Publications

Early prediction of treatment response can facilitate personalized treatment for breast cancer patients. Studies on the I-SPY 2 clinical trial demonstrate that multi-time point dynamic contrast-enhanced magnetic resonance (DCEMR) imaging improves the accuracy of predicting pathological complete response (pCR) to chemotherapy. However, previous image-based prediction models usually rely on mid- or post-treatment images to ensure the accuracy of prediction, which may outweigh the benefit of response-based adaptive treatment strategy. Accurately predicting the pCR at the early time point is desired yet remains challenging. To improve prediction accuracy at the early time point of treatment, we proposed a two-stage dual-task learning …

Image-Based Inference Of Tumor Cell Trajectories Enables Large-Scale Cancer Progression Analysis, Yang Liu, Ling Cai, Ruichen Rong, Shidan Wang, Liwei Jia, Peiran Quan, Qin Zhou, Guanghua Xiao, Yang Xie

Faculty, Staff and Student Publications

Current approaches to estimating cell trajectories, tumor progression dynamics, and cell population diversity of tumor microenvironment often depend on single-cell RNA sequencing, which is costly and resource intensive. To address this limitation, we developed an artificial intelligence (AI) model that leverages cell morphology features and histological spatial organization to classify tumor cell differentiation status, infer cell dynamic trajectories, and quantify tumor progression from hematoxylin and eosin (H&E)-stained whole-slide images. In three independent lung adenocarcinoma cohorts, our AI-based model accurately predicted cell differential status and provided quantifiable measures of tumor progression that were prognostic of patient survival. Spatial transcriptomic integrative analyses …

Predicting Sleep And Sleep Stage In Children Using Actigraphy And Heartrate Via A Long Short-Term Memory Deep Learning Algorithm: A Performance Evaluation, Robert Weaver Med, Phd, James White, Olivia Finnegan, Hongpeng Yang, Zifei Zhong, Keagan Kiely, Catherine Jones, Yan Tong, Srihari Nelakuditi, Rahul Ghosal, David E. Brown, Russell R. Pate Ph.D., Gregory J. Welk, Massimiliano De Zambotti, Yuan Wang, Sarah Burkart, Elizabeth L. Adams Phd, Bridget Armstrong, Michael Beets Med, Mph, Phd

Faculty Publications

Children's ambulatory sleep is commonly measured via actigraphy. However, traditional actigraphy measured sleep (e.g., Sadeh algorithm) struggles to predict wake (i.e., specificity, values typically < 70) and cannot predict sleep stages. Long short-term memory (LSTM) is a machine learning algorithm that may address these deficiencies. This study evaluated the agreement of LSTM sleep estimates from actigraphy and heartrate (HR) data with polysomnography (PSG). Children (N = 238, 5–12 years,52.8% male, 50% Black 31.9% White) participated in an overnight laboratory polysomnography. Participants were referred be-cause of suspected sleep disruptions. Children wore an ActiGraph GT9X accelerometer and two of three consumer wearables(i.e., Apple Watch Series 7, Fitbit Sense, Garmin Vivoactive 4) on their non-dominant wrist during the polysomnogram. LSTM estimated sleep versus wake and sleep stage (wake, not-REM, REM) using raw actigraphy and HR data for each 30-s epoch. Logistic regression and random forest were also estimated as a benchmark for performance with which to compare the LSTM results. A 10-fold cross-validation technique was employed, and confusion matrices were constructed. Sensitivity and specificity were calculated to assess the agreement between research-grade and consumer wearables with the criterion polysomnography. For sleep versus wake classification, LSTM outperformed logistic regression and random forest with accuracy ranging from 94.1to 95.1, sensitivity ranging from 94.9 to 95.9 across different devices, and specificity ranging from 84.5 to 89.6. The addition of HR improved the prediction of sleep stages but not binary sleep versus wake. LSTM is promising for predicting sleep and sleep staging from actigraphy data, and HR may improve sleep stage prediction.

Patient-Centered, Theory-Based, Online Intervention To Promote A Physically Active Lifestyle For People With Multiple Sclerosis: Protocol For A Randomized Controlled Trial, Chungyi Chiu, Vaishnavi Sridharan, Mojtaba Khaliji, Md Refat Uz Zaman Sajib, Xiaotian Gao, Kathleen Zackowski

Children’s Nutrition Research Center Staff Publications

Background: People with multiple sclerosis (MS) experience life challenges due to the nature of disease progression. Although an active lifestyle has been shown effective for symptom and relapse management, most people with MS lead a sedentary lifestyle and do not reach the recommended physical activity (PA) guidelines.

Objective: This study aims to test the preliminary efficacy of a codeveloped, online self-management intervention based on the health action process approach (HAPA) adapted for people with MS to cultivate a physically active lifestyle.

Methods: The 8-week intervention program was developed using community-based participatory research based on the HAPA. The program includes increasing …

Efficacy Of A Novel Bcl-Xl Degrader, Dt2216, In Preclinical Models Of Jak2-Mutated Post-Mpn Aml, Zhe Wang, Anna Skwarska, Gowri Poigaialwar, Sovira Chaudhry, Alba Rodriguez-Meira, Pinpin Sui, Emmanuel Olivier, Yannan Jia, Varun Gupta, Warren Fiskus, Cassandra L Ramage, Guangrong Zheng, Alexandra Schurer, Kira Gritsman, Eirini P Papapetrou, Kapil Bhalla, Daohong Zhou, Adam J Mead, Raajit K Rampal, Jeffrey W Tyner, Hussein A Abbas, Naveen Pemmaraju, Qi Zhang Tatarata, Marina Konopleva

Faculty, Staff and Student Publications

Acute myeloid leukemia (AML) that evolves from myeloproliferative neoplasm (MPN) is known as post-MPN AML. Current treatments do not significantly extend survival beyond 12 months. B-cell lymphoma-extra large (BCL-xL) has been found to be overexpressed in leucocytes from patients with MPN, making it a potential therapeutic target. We investigated the role of BCL-xL in post-MPN AML and tested the efficacy of DT2216, a platelet-sparing BCL-xL proteolysis-targeting chimera, in preclinical models of post-MPN AML. We found that BCL2L1, the gene encoding BCL-xL, is expressed at higher levels in patients with post-MPN AML than in those with de novo AML. Single-cell multiomics …

Machine Learning Crime Prediction Models And The Gap Between Research And Implementation: A Systematic Review, Ricardo Huamantingo, Miguel Cano-Lengua, Ciro Rodriguez

Karbala International Journal of Modern Science

A crime is an illegal or violent act committed by one individual against another. The increasing crime rate has become a major concern as it negatively affects people's quality of life and generates significant social and economic costs. This study aims to identify the most widely used machine learning (ML) models for crime prediction, determine evaluation metrics for assessing model performance, and analyze key data characteristics to enhance real-world implementation. The study follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology. A search string was formulated using the population, intervention, comparison, and outcomes (PICO) framework and applied …

Sense Of Belonging In The Profession And Program Of Study Among Nutrition And Dietetics Students, Jessica Torro, Melissa Masters, Rachel C. Sinley, Jesse Lunsford, Heidi Masching, Miranda Chen Musgrove

Journal of Dietetic Education

Sense of belonging may positively impact student performance, especially in marginalized groups. This study aimed to examine sense of belonging among a diverse group of nutrition and dietetics students. An online survey investigated students’ feelings of belonging, isolation, and connection to the field of nutrition and dietetics and department of study. The survey was distributed through email to the nutrition and dietetics student body in the Department of Nutrition at Metropolitan State University of Denver. Quantitative data were analyzed as count and percentage. Overall sense of belonging scores were calculated as an average on a 5-point scale (1-strongly disagree to …

Technology Roadmap Of Micro/Nanorobots, Xiaohui Ju, Chuanrui Chen, Cagatay M Oral, Semih Sevim, Ramin Golestanian, Mengmeng Sun, Negin Bouzari, Xiankun Lin, Mario Urso, Jong Seok Nam, Yujang Cho, Xia Peng, Fabian C Landers, Shihao Yang, Azin Adibi, Nahid Taz, Raphael Wittkowski, Daniel Ahmed, Wei Wang, Veronika Magdanz, Mariana Medina-Sánchez, Maria Guix, Naimat Bari, Bahareh Behkam, Raymond Kapral, Yaxin Huang, Jinyao Tang, Ben Wang, Konstantin Morozov, Alexander Leshansky, Sarmad Ahmad Abbasi, Hongsoo Choi, Subhadip Ghosh, Bárbara Borges Fernandes, Giuseppe Battaglia, Peer Fischer, Ambarish Ghosh, Beatriz Jurado Sánchez, Alberto Escarpa, Quentin Martinet, Jérémie Palacci, Eric Lauga, Jeffrey Moran, Miguel A Ramos-Docampo, Brigitte Städler, Ramón Santiago Herrera Restrepo, Gilad Yossifon, James D Nicholas, Jordi Ignés-Mullol, Josep Puigmartí-Luis, Yutong Liu, Lauren D Zarzar, C Wyatt Shields, Longqiu Li, Shanshan Li, Xing Ma, David H Gracias, Orlin Velev, Samuel Sánchez, Maria Jose Esplandiu, Juliane Simmchen, Antonio Lobosco, Sarthak Misra, Zhiguang Wu, Jinxing Li, Alexander Kuhn, Amir Nourhani, Tijana Maric, Ze Xiong, Amirreza Aghakhani, Yongfeng Mei, Yingfeng Tu, Fei Peng, Eric Diller, Mahmut Selman Sakar, Ayusman Sen, Junhui Law, Yu Sun, Abdon Pena-Francesch, Katherine Villa, Huaizhi Li, Donglei Emma Fan, Kang Liang, Tony Jun Huang, Xiang-Zhong Chen, Songsong Tang, Xueji Zhang, Jizhai Cui, Hong Wang, Wei Gao, Vineeth Kumar Bandari, Oliver G Schmidt, Xianghua Wu, Jianguo Guan, Metin Sitti, Bradley J Nelson, Salvador Pané, Li Zhang, Hamed Shahsavan, Qiang He, Il-Doo Kim, Joseph Wang, Martin Pumera

Faculty, Staff and Student Publications

Inspired by Richard Feynman’s 1959 lecture and the 1966 film Fantastic Voyage, the field of micro/nanorobots has evolved from science fiction to reality, with significant advancements in biomedical and environmental applications. Despite the rapid progress, the deployment of functional micro/nanorobots remains limited. This review of the technology roadmap identifies key challenges hindering their widespread use, focusing on propulsion mechanisms, fundamental theoretical aspects, collective behavior, material design, and embodied intelligence. We explore the current state of micro/nanorobot technology, with an emphasis on applications in biomedicine, environmental remediation, analytical sensing, and other industrial technological aspects. Additionally, we analyze issues related to …

Serum Metabolomic Profiling Of Incident Type 2 Diabetes Mellitus In The Multi-Ethnic Study Of Atherosclerosis And Rotterdam Study, Xuanwei Jiang, Fang Zhu, Gonçalo Graça, Xihao Du, Jinjun Ran, Fariba Ahmadizar, Alexis C Wood, Yanqiu Zhou, Denise M Scholtens, Ali Farzaneh, M Arfan Ikram, Alan Kuang, Carel W Le Roux, Meghana D Gadgil, Marilyn C Cornelis, Kent D Taylor, Xiuqing Guo, Mohsen Ghanbari, Laura J Rasmussen-Torvik, Russell P Tracy, Alain G Bertoni, Jerome I Rotter, David M Herrington, Philip Greenland, Maryam Kavousi, Victor W Zhong

Children’s Nutrition Research Center Staff Publications

Objective: This study aimed to investigate serum metabolomic biomarkers associated with incident type 2 diabetes mellitus (T2DM) and evaluate their performance in improving T2DM risk prediction.

Methods: Untargeted proton nuclear magnetic resonance (1H NMR) spectroscopy-based metabolomics analyses were conducted in the Multi-Ethnic Study of Atherosclerosis (MESA; n = 3460; discovery cohort) and The Rotterdam Study (RS; n = 1556; replication cohort). Multivariable cause-specific hazards models were used to analyze the associations between 23 571 serum metabolomic spectral variables and incident T2DM. Replicated metabolites required an false discovery rate-adjusted P < .01 in MESA, P < .05 in RS, and consistent direction of association. Pathway and network analyses were conducted to elucidate biological mechanisms underlying T2DM development. The utility of the replicated metabolites in improving T2DM risk prediction was assessed based on the Framingham Diabetes Risk Score. A 2-sample Mendelian randomization was conducted to assess causal associations.

Results: Nineteen metabolites were significantly associated with incident T2DM. Pathway analyses …