Digital Commons Network^™

Healing Right Way: A Stepped Wedge Cluster Randomised Controlled Trial Aiming To Enhance Quality Of Life For Aboriginal Australian Survivors Of Stroke And Traumatic Brain Injury, Elizabeth Armstrong, Tapan Rai, Judith M. Katzenellenbogen, Sandra J. Thompson, Meaghan Mcallister, Natalie Ciccone, Deborah Hersh, Leon Flicker, Dominique A. Cadilhac, Erin Godecke, Graeme J. Hankey, Neil Drew, Colleen Hayward, Deborah Woods, Mel Robinson, Ivan Lin, Sanita Kratina, Jane White, Juli Coffin

Research outputs 2022 to 2026

Objective: To determine the effect of cultural security training (CST) for health professionals and access to an Aboriginal Brain Injury Coordinator (ABIC) for Aboriginal Australians with stroke or traumatic brain injury (TBI). Design: A stepped wedge cluster randomised controlled trial; the intervention package consisted of CST for hospital professionals and 6-month access to ABICs providing education, support, liaison and advocacy; the commencement order of the intervention phase was randomised. Setting: Four urban and four rural hospitals in Western Australia, 2018–2022. Participants: Aboriginal adults ≥ 18 years hospitalised with stroke or TBI. Main Outcome Measures: Primary outcome was quality of life …

The Science Of Sound: Studying The Cognitive, Emotional, And Physiological Effects Of Frequency, Genre, And Music, Jett Yarborough

Senior Honors Theses

Music influences emotion, physiology, and cognition, yet little is known about how the frequency it is tuned to affects these influences. Prior research has shown that music tuned to 432 Hz can reduce stress, lower blood pressure, and improve sleep. My colleagues and I conducted two studies to investigate this. Our research found that music tuned to 432 Hz promotes a significant increase in memory retention and induces a state of focus and relaxation. These results suggest that shifting from the standard tuning frequency of 440 Hz to 432 Hz could have a profoundly positive impact on our daily lives. …

Artificial Intelligence And Medical Education (2013-2024): A Scopus-Based Bibliometric Analysis, Festus Mulakoli, Edward Misava

School of Nursing & Midwifery, East Africa

Background: Artificial Intelligence (AI) is transforming medical education by enabling personalised learning, adaptive feedback, simulation-based training, and automated assessments. While AI offers significant benefits, including curriculum optimisation and virtual tutoring, concerns around data privacy, access, and ethical implementation persist. Although bibliometric studies have explored AI in healthcare, comprehensive analyses of global collaboration and publication trends in AI-focused medical education remain limited. Aim: This study aims to analyse global research trends, key contributors, and thematic developments in the application of AI within medical education. Methods: A bibliometric analysis was conducted using the Scopus database. The search strategy included terms …

The Distribution Of The Number Of Mutations In The Genealogy Of A Sample From A Single Population, Yun-Xin Fu

Faculty, Staff and Student Publications

The number K of mutations in the genealogy of a sample of n sequences from a single population is one essential summary statistic in molecular population genetics and is equal to the number of segregating sites in the sample under the infinite-sites model. Although its expectation and variance are the most widely utilized properties, its sampling formula (i.e., probability distribution) is the foundation for all explorations related to K. Despite existence of an analytic sampling formula, its numerical application is limited due to susceptibility to error propagation. This paper presents a new sampling formula for K in a random sample …

Optimization Of A Mobile Imaging System To Aid In Evaluating Patients With Oral Lesions In A Dental Care Setting, Ruchika Mitbander, Jennifer Carns, Richard A Schwarz, Sean Anderson, Geethanjali Vipulanandan, Miriam Hernandez, Amelia E Hartzell, Jun Jiao, Ilona Rutkowska, Safia Durab, Sahar Sadeghi, Ashlee D Clayton, Nancy Bass, Loganayaki Anandasivam, Rachel A Giese, Ann M Gillenwater, Nadarajah Vigneswaran, Rebecca Richards-Kortum

Faculty, Staff and Student Publications

Significance: Oral cancer is often diagnosed at an advanced stage even though the oral cavity is easily accessible for examination. There is a need for tools to support early detection and help non-expert clinicians make appropriate referral recommendations.

Aim: We aim to evaluate a mobile detection of oral cancer (mDOC) smartphone-based autofluorescence imaging system by collecting data in a representative, low-prevalence population and optimizing a referral algorithm suitable for deployment in community dental settings.

Approach: Data were collected from patients at a community dental clinic using the mDOC system, which captures white light and autofluorescence images. A multi-input deep learning …

Hungry Minds: Analyzing The Impact Of Food Insecurity And Food Assistance Programs On Neurocognitive Development And Childhood Mental Health, Kayla A. Davenport

Senior Theses

Introduction: Food insecurity affects millions of children in the United States and is increasingly recognized as a significant risk factor for poor nutritional intake and adverse health outcomes. However, less is known about how the experience of food insecurity disrupts healthy development and well-being, particularly among American youth. This thesis had two aims: (1) to examine the relationship between household food insecurity and children’s neurocognitive and mental health outcomes and (2) to evaluate how major food assistance programs address, or fail to address, these developmental risks.

Methods: This thesis uses a mixed-methods approach, integrating a narrative literature review, a cross-sectional …

First Experience With Third-Party Validations: A Robust Calibration And Qa Procedure For Proton Flash Delivery, Chih-Chiang Chang, Balaji Selvaraj, Xingyi Zhao, Jacob Rembish, Paige A Taylor, Alexander Bookbinder, Chingyun Cheng, J Isabelle Choi, Charles B Simone, Haibo Lin, Minglei Kang

Faculty, Staff and Student Publications

Background: Proton FLASH radiotherapy, delivering ultra-high dose rates, shows promise in reducing normal tissue toxicity while maintaining tumor control. However, accurate dosimetry and quality assurance (QA) for FLASH remain challenging due to the extreme dose rates involved. Developing reliable calibration and QA procedures is crucial for advancing FLASH towards clinical implementation.

Purpose: To present an effective routine calibration and QA procedure for proton FLASH delivery to ensure high-quality dosimetry performance for preclinical and clinical delivery.

Methods: A high temporospatial resolution strip ionization chamber array (SICA) detector was mounted to the treatment nozzle, which was calibrated using an Advanced Markus ion …

Topoimages: Incorporating Local Topology Encoding Into Deep Learning Models For Medical Image Classification, Pengfei Gu, Hongxiao Wang, Yejia Zhang, Huimin Li, Chaoli Wang, Danny Z. Chen

Computer Science Faculty Publications

Topological structures in image data, such as connected components and loops, play a crucial role in understanding image content (e.g., biomedical objects). Despite remarkable successes of numerous image processing methods that rely on appearance information, these methods often lack sensitivity to topological structures when used in general deep learning (DL) frameworks. In this paper, we introduce a new general approach, called TopoImages (for Topology Images), which computes a new representation of input images by encoding local topology of patches. In TopoImages, we leverage persistent homology (PH) to encode geometric and topological features inherent in image patches. Our main objective is …

Lesion Absorbed Dose-Response Relationship In Patients With Metastatic Castration-Resistant Prostate Cancer Undergoing [177lu]Lu-Psma-617 Radiopharmaceutical Therapy, Milan Grkovski, Simone S Krebs, Joseph A O'Donoghue, Jonathan Kuten, Audrey Mauguen, Parnian Shobeiri, Daniel Lafontaine, Maria Thor, Finn Augensen, Josef J Fox, Neeta Pandit-Taskar, Mark P Dunphy, Lisa Bodei, John L Humm, Heiko Schöder

Faculty, Staff and Student Publications

The relationship between lesion absorbed dose (AD) and response in patients with metastatic castration-resistant prostate cancer undergoing [177Lu]Lu-PSMA-617 radiopharmaceutical therapy (RPT) remains poorly understood. The objective of this work was to investigate the AD-response relationship at both the patient and lesion levels.

Methods: Sixty-five patients underwent serial SPECT/CT imaging after receiving 7.31 ± 0.27 GBq of [177Lu]Lu-PSMA-617. Single-time-point (STP) (Hänscheid approximation at 72 h) and multiple-time-point voxelwise dosimetry were performed. Patient response was evaluated by changes in serum prostate-specific antigen level before and after cycle 1 of RPT. The response of individual lesions was evaluated by the change in the …

Multi-Period Risk-Aware Procurement Optimization Under Covid-19 Disruption, Jonathan Chase, Hoong Chuin Lau, Jinfeng Yang, Lu Liu

Research Collection School Of Computing and Information Systems

Supply chain resilience has been a topic of active research in the operations research and AI communities for several years, but the COVID-19 pandemic threw the frailties of global supply chains into sharp relief. Disruptions and delays caused by fresh outbreaks leading to lockdowns, put severe strain on supply chains in many industries. In this work we develop lockdown-resilient procurement capabilities for a global technology company. First, through analysis of lockdown data from China we develop a logarithmic regression-based lockdown prediction method to complement a supplier risk metric for conventional risks. Second, we develop a multi-period stochastic optimization model that …

Family Income And Polygenic Scores Are Independently But Not Interactively Associated With Cognitive Performance Among Youth Genetically Similar To European Reference Populations, S E Paul, N M Elsayed, S M C Colbert, R Bogdan, A S Hatoum, D M Barch

2020-Current year OA Pubs

Cognitive abilities are heritable and influenced by socioeconomic status (SES). It is critical to understand the association between SES and cognition beyond genetic propensity to inform potential benefits of SES-based interventions and to determine if such associations vary across (i) cognitive domains, (ii) facets of SES, and/or (iii) genetic propensity for different aspects of cognition. We examined the contributions of neighborhood socioeconomic advantage, family income, and polygenic scores (PGS) for domains of cognition (i.e., general cognitive ability, executive function, learning and memory, fluid reasoning) in a sample of children (ages 9-10;

Stratifying Lung Adenocarcinoma Risk With Multi-Ancestry Polygenic Risk Scores In East Asian Never-Smokers, Batel Blechter, Xiaoyu Wang, Juncheng Dai, Christiana Karsonaki, Jianxin Shi, Kouya Shiraishi, Jiyeon Choi, Keitaro Matsuo, Tzu-Yu Chen, Rayjean J Hung, Kexin Chen, Xiao-Ou Shu, Young Tae Kim, Parichoy Pal Choudhury, Jacob Williams, Maria Teresa Landi, Dongxin Lin, Wei Zheng, Zhihua Yin, Baosen Zhou, Jiucun Wang, Wei Jie Seow, Lei Song, I-Shou Chang, Wei Hu, Li-Hsin Chien, Qiuyin Cai, Yun-Chul Hong, Hee Nam Kim, Yi-Long Wu, Maria Pik Wong, Brian Douglas Richardson, Shilan Li, Tongwu Zhang, Charles Breeze, Zhaoming Wang, Bryan A Bassig, Jin Hee Kim, Demetrius Albanes, Jason Yy Wong Sm, Min-Ho Shin, Lap Ping Chung, Yang Yang, Hong Zheng, Hongji Dai, Yasushi Yatabe, Xu-Chao Zhang, Young-Chul Kim, Neil E Caporaso, Jiang Chang, James Chung Man Ho, Yataro Daigo, Yukihide Momozawa, Yoichiro Kamatani, Masashi Kobayashi, Kenichi Okubo, Takayuki Honda, H Dean Hosgood, Hideo Kunitoh, Shun-Ichi Watanabe, Yohei Miyagi, Shingo Matsumoto, Hidehito Horinouchi, Masahiro Tsuboi, Ryuji Hamamoto, Koichi Goto, Atsushi Takahashi, Akiteru Goto, Yoshihiro Minamiya, Megumi Hara, Yuichiro Nishida, Kenji Takeuchi, Kenji Wakai, Koichi Matsuda, Yoshinori Murakami, Kimihiro Shimizu, Hiroyuki Suzuki, Motonobu Saito, Yoichi Ohtaki, Kazumi Tanaka, Tangchun Wu, Fusheng Wei, Mitchell J Machiela, Yeul Hong Kim, In-Jae Oh, Victor Ho Fun Lee, Gee-Chen Chang, Kuan-Yu Chen, Wu-Chou Su, Yuh-Min Chen, Adeline Seow, Jae Yong Park, Sun-Seog Kweon, Yu-Tang Gao, Jianjun Liu, Ann G Schwartz, Richard Houlston, Ivan P Gorlov, Xifeng Wu, Ping Yang, Stephen Lam, Adonina Tardon, Chu Chen, Stig E Bojesen, Mattias Johansson, Angela Risch, Heike Bickeböller, Bu-Tian Ji, H-Erich Wichmann, David C Christiani, Gad Rennert, Susanne M Arnold, Paul Brennan, James Mckay, John K Field, Michael P A Davies, Sanjay S Shete, Loïc Le Marchand, Geoffrey Liu, Angeline S Andrew, Lambertus A Kiemeney, Shan Zienolddiny-Narui, Kjell Grankvist, Angela Cox, Fiona Taylor, Jian-Min Yuan, Philip Lazarus, Matthew B Schabath, Melinda C Aldrich, Hyo-Sung Jeon, Shih Sheng Jiang, Chung-Hsing Chen, Chin-Fu Hsiao, Zhibin Hu, Laura Burdett, Meredith Yeager, Amy Hutchinson, Belynda Hicks, Jia Liu, Sonja I Berndt, Wei Wu, Junwen Wang, Yuqing Li, Jin Eun Choi, Kyong Hwa Park, Sook Whan Sung, Chang Hyun Kang, Wen-Chang Wang, Jun Xu, Peng Guan, Wen Tan, Chong-Jen Yu, Gong Yang, Alan Dart Loon Sihoe, Yi Young Choi, In Kyu Park, Hsiao-Han Hung, Roel C H Vermeulen, Iona Cheng, Junjie Wu, Fang-Yu Tsai, John K C Chan, Jihua Li, Hsien-Chih Lin, Jie Liu, Bao Song, Norie Sawada, Taiki Yamaji, Kathleen Wyatt, Hongxia Ma, Meng Zhu, Yifan Wang, Tianchen Qi, Xuelian Li, Yangwu Ren, Ann Chao, Motoki Iwasaki, Junjie Zhu, Guoping Wu, Chih-Yi Chen, Chien-Jen Chen Scd, Pan-Chyr Yang, Victoria L Stevens, Joseph F Fraumeni, Kuang Lin, Robin G Walters, Zhengming Chen, Nilanjan Chatterjee, Olga Y Gorlova, Christopher I Amos, Hongbing Shen, Chao Agnes Hsiung, Stephen J Chanock, Nathaniel Rothman, Takashi Kohno, Qing Lan, Haoyu Zhang

Faculty, Staff and Students Publications

Background: Lung adenocarcinoma (LUAD) in never-smokers is a major public health burden, especially among East Asian women. Polygenic risk scores (PRSs) are promising for risk stratification but are primarily developed in European-ancestry populations. We aimed to develop and validate single- and multi-ancestry PRSs for East Asian never-smokers to improve LUAD risk prediction.

Methods: PRSs were developed using genome-wide association study summary statistics from East Asian (8,002 cases; 20,782 controls) and European (2,058 cases; 5,575 controls) populations. Single-ancestry models included PRS-25, PRS-CT, and LDpred2; multi-ancestry models included LDpred2+PRS-EUR128, PRS-CSx, and CT-SLEB. Performance was evaluated in independent East Asian data from the …

Identification Of Surrogate Outcome Biomarkers In Lung Allograft Recipients With Bronchiolitis Obliterans: Implications For Randomized Controlled Trials, Derek E. Byers, Suresh Vedantham, Mary Clare Derfler, Paul Commean, Andrew Atkinson, Jeff Atkinson, Alexey Prokudin, John Mccarthy, George Despotis, Et Al.

2020-Current year OA Pubs

BACKGROUND: We developed a prospective, multicenter "registry" to evaluate the effect of extracorporeal photopheresis for lung transplant recipients who develop chronic lung allograft dysfunction (CLAD) with the bronchiolitis obliterans syndrome (BOS) phenotype (CLAD/BOS) and who are refractory to conventional standard-of-care therapy.

METHODS: Data from 258 lung transplant recipients enrolled in the Registry between April 2015 and April 2022 were included in this analysis. All recorded parameters (eg, demographics), including forced expiratory volume in 1 s (FEV

RESULTS: Mortality at 6 and 12 mo after CLAD/BOS diagnosis was 5% and 14%, whereas mortality at 6 and 12 mo after enrollment was …

Do Complex Psychometric Analyses Really Matter? Comparing Multiple Approaches Using Individual Participant Data From Antidepressant Trials, David Byrne, Frank Doyle, Susan Brannick, Robert M Carney, Pim Cuijpers, Alexandra L Dima, Kenneth E Freedland, Suzanne Guerin, David Hevey, Bishember Kathuria, Emma Wallace, Fiona Boland

2020-Current year OA Pubs

BACKGROUND: Psychometric methods are used to remove underperforming items and reduce error in existing measures, albeit different approaches can produce different results. This study aimed to determine the implications of applying different psychometric methods for clinical trial outcomes.

METHODS: Individual participant data from 15 antidepressant treatment trials from Vivli.org were analyzed. Baseline (pretreatment) and 8-week (range 4-12 weeks) outcome data from the Montgomery-Asberg Depression Rating Scale were subjected to best-practice factor analysis (FA), item response theory (IRT), and network analysis (NA) approaches. Trial outcomes for the original summative scores and psychometric-model scores were assessed using multilevel models. Percentage differences in …

Mapping The Geographic Distribution Of Dimorphic Mycoses Using A Us Commercial Insurance Database, Reid Goodman, Adriana M Rauseo, Samuel L Windham, Julio C Zuniga-Moya, William G Powderly, Andrej Spec, Patrick B Mazi

2020-Current year OA Pubs

BACKGROUND: The dimorphic mycoses (DMs) histoplasmosis, blastomycosis, and coccidioidomycosis are classically thought to be geographically restricted to specific regions of the United States. The current scientific consensus is that these geographic boundaries are expanding, but the extent of this expansion remains uncertain.

METHODS: This study is a retrospective analysis of >21 million (annually) commercially insured individuals within the United States during 2007-2016. Diagnosis of histoplasmosis, coccidioidomycosis, and blastomycosis were identified using

RESULTS: There were 37 513 histoplasmosis, 14 987 coccidioidomycosis, and 2207 blastomycosis diagnoses during 2007-2016 within 387 Metropolitan Statistical Areas. DMs were consistently diagnosed outside their historical hyperendemic regions. …

Enhancing Stemm Education Through Advanced Technologies And Collaborative Programs, Zhongcheng Shi, Michael Nguyen, Yuan Yao, Debra D Murray, Rayne H Rouce, Veronica Ajewole, Huan Xie, Shixia Huang

Faculty and Staff Publications

Integrating advanced technologies into STEMM (Science, Technology, Engineering, Mathematics, and Medicine) education is essential for preparing a future-ready, diverse scientific workforce capable of addressing complex global challenges. This paper presents three interconnected programs-BRITE (Biotechnology Research Incubator for Teachers), ASPIRATION (AI-guided Scientist-Mentored Primary Literature Adaptation for STEMM Education), and C-REP (Cancer Research Education Program)-developed through collaborations with Advanced Technology Cores and multi-institutional participation, involving mentors ranging from core directors to graduate and medical students. While initially supported by internal funding, two of these initiatives have since secured NIH grant support. These initiatives provide immersive, hands-on training in genomics, proteomics, metabolomics, flow …

Cookie-Pro: Covalent Inhibitor Binding Kinetics Profiling On The Proteome Scale, Hanfeng Lin, Bin Yang, Lang Ding, Yen-Yu Yang, Matthew V Holt, Sung Yun Jung, Bing Zhang, Meng C Wang, Jin Wang

Faculty, Staff and Students Publications

Covalent inhibitors are an emerging class of therapeutics, but methods to comprehensively profile their binding kinetics and selectivity across the proteome have been limited. Here we introduce COOKIE-Pro (COvalent Occupancy KInetic Enrichment via Proteomics), an unbiased method for quantifying irreversible covalent inhibitor binding kinetics on a proteome-wide scale. COOKIE-Pro uses a two-step incubation process with mass spectrometry-based proteomics to determine kinact and KI values for covalent inhibitors against both on-target and off-target proteins. We validated COOKIE-Pro using BTK inhibitors spebrutinib and ibrutinib, accurately reproducing known kinetic parameters and identifying both expected and unreported off-targets. The method revealed that …

Development Of A Career Awareness Board Game Based On Augmented Reality For Generation Z Students, Caraka Putra Bhakti, Difa Ardiyanti, Agus Ria Kumara, Muhammad Alfarizqi Nizamuddin Ghiffari

Buletin Konseling Inovatif

The purpose of this research is to develop an augmented reality-based career awareness board game for Generation Z students. The current development of the era demands that Generation Z have a good career. In reality, currently, there are still many Generation Z students in schools who do not have the skills, competencies, and awareness to have an optimal career. One important thing that Generation Z students need to have is career awareness. Having career awareness will help someone recognise their career needs based on their competencies, talents, and interests. Developing career awareness can be achieved through guidance and counselling services. …

09.29.2025 Ored Connect, Liz Williamson

ORED Newsletter

• Contest for Biosafety and Biosecurity Month
• ORED Website Walk Through training
• MIG Applications
• Field Fest

Glucodensity Functional Profiles Outperform Traditional Continuous Glucose Monitoring Metrics, Marcos Matabuena, Rahul Ghosal Ph.D., Javier Enrique Aguilar, Ayya Keshet, Robert Wagner, Carmen Fernández Merino, Juan Sánchez Castro, Vadim Zipunnikov, Jukka-Pekka Onnela, Francisco Gude

Faculty Publications

Continuous glucose monitoring (CGM) data have revolutionized the management of type 1 diabetes, particularly when integrated with insulin pumps to mitigate clinical events such as hypoglycemia. Recently, there has been growing interest in utilizing CGM devices in clinical studies involving healthy and diabetic populations. However, efficiently exploiting the high temporal resolution of CGM profiles remains a significant challenge. Numerous indices—such as time–in–range metrics and glucose variability measures–have been proposed, but evidence suggests these metrics overlook critical aspects of dynamic glucose homeostasis. As an alternative method, this paper explores the clinical value of glucodensity metrics in capturing glucose dynamics—specifically the speed …

Artificial Intelligence-Enabled Automated Analysis Of Transmission Electron Micrographs To Evaluate Chemotherapy Impact On Mitochondrial Morphology In Triple Negative Breast Cancer, Argenis Arriojas, Mokryun L Baek, Mariah J Berner, Jiaqi Wang, Joseph Duraisingh, Alexander Zhurkevich, Antentor Othrell Hinton, Matthew D Meyer, Lacey E Dobrolecki, Michael T Lewis, Kourosh Zarringhalam, Gloria V Echeverria

Faculty, Staff and Students Publications

Advancements in transmission electron microscopy (TEM) have enabled in-depth studies of biological specimens, offering new avenues to large-scale imaging experiments with subcellular resolution. Mitochondrial structure is of growing interest in cancer biology due to its crucial role in regulating the multi-faceted functions of mitochondria. We and others have established the crucial role of mitochondria in triple-negative breast cancer (TNBC), an aggressive subtype of breast cancer with limited therapeutic options. Building upon our previous work demonstrating the regulatory role of mitochondrial structure dynamics in metabolic adaptation and survival of chemotherapy-refractory TNBC cells, we sought to extend those findings to a large-scale …

Association Of Estimated Plasma Volume Status With Invasive Hemodynamics And Adverse Clinical Outcomes In Patients With Pulmonary Hypertension And Chronic Kidney Disease, Andrew Geller, Jose Manuel Martinez Manzano, Esteban Kosak Lopez, Phuuwadith Wattanachayakul, John Malin, Raul Leguizamon, Tara John, Rasha Khan, Ian Mclaren, Alexander Prendergast, Simone Jarrett, Kevin Bryan Lo, Christian Witzke

Einstein Health Papers

Identifying noninvasive measures to assess intravascular volume status and risk stratify patients with pulmonary hypertension (PH) and chronic kidney disease (CKD) is needed. We assessed the predictive value of estimated plasma volume status (ePVS) using the Strauss-derived Duarte formula in PH-CKD patients. This single-center retrospective cohort analysis included patients with PH and CKD Stage 3b (CKD3b), Stage 4 (CKD4), or Stage 5 (CKD5) who underwent right heart catheterization from 2018 to 2023. Patients were categorized into low ePVS (< 6.2) and high ePVS (≥ 6.2) using Youden's J statistics. We used the Cox-proportional hazards model, adjusting for age, sex, and body mass index, to investigate the association between …

Scaling Symmetry Of The Hodgkin-Huxley Mathematical Model, Vladimir Valerievich Galanin

Progress in Scale Modeling, an International Journal

A computational method based on the application of a scaling transformation to the Hodgkin-Huxley mathematical model of the biological neuron and its generalizations to the case of various neural systems is proposed. The method makes it possible: 1) to obtain invariants of the scaling transformation of the Hodgkin-Huxley model; 2) to find self-similarity regions corresponding to the modes of neural activity; 3) to determine the conditions for the similarity of models of various types of biological neurons; 4) to reduce the order of the system of differential equations of the Hodgkin-Huxley model for neural systems with synchronous activity. The capabilities …

Early-Life Exposure To Organic Chemical Pollutants As Assessed In Primary Teeth And Cardiometabolic Risk In Mexican American Children: A Pilot Study, Vidya S. Farook, Feroz Akhtar, Rector Arya, Alice Yau, Srinivas Mummidi, Juan Lopez Alvarenga, Alvaro Diaz-Badillo, Roy G. Resendez, John Blangero

Human Genetics Publications

Early-life exposure to organic chemicals (OCs) may influence childhood obesity and associated cardiometabolic risk. These conditions have been shown to disproportionately affect minority populations such as Mexican Americans (MAs). However, information on the impact of organic chemicals on cardiometabolic risk in MA children is limited. Therefore, we conducted a pilot study to assess the extent to which exposure to organic chemicals influences cardiometabolic traits (CMTs) in MA children. We recalled 25 children from a previous study and collected 25 primary teeth from them. Chemical analyses of the teeth were performed using established protocols. Target analytes included acetaminophen (APAP); 3,5,6-trichloro-2-pyridinol (TCPy), …

Er Stress Tolerance Is Regulated By Copper-Dependent Perk Kinase Activity., Sarah E. Bond Newton, Xinglong Shi, Noah R. Beratan, Julia Perhacs, Jitendra K. Arya, Margaret K. Bond, Tali Gidalevitz, Cagla Akay-Espinoza, Donita C. Brady, Kelly L. Jordan-Sciutto

Farber Institute for Neuroscience Faculty Papers

Pancreatic/PKR-like endoplasmic reticulum (ER) kinase (PERK) is a kinase that, in response to ER stress, mediates dual homeostatic and pro-apoptotic signaling. Thus, intricate regulation is required for physiological function. Attempts to modulate PERK activity have shown that the determinants of adaptive vs. maladaptive signaling remain ambiguous. Here, with purified protein, we provide evidence that PERK binds copper, identifies residues required for interaction, and demonstrates that copper is necessary for kinase activity. Furthermore, cellular PERK activity can be modulated via copper availability, and this regulatory relationship can be manipulated to dictate ER stress tolerance. Critically, these phenomena translate to phenotypes in …

Quality Improvement Project Empowering Nursing Instructors: Faculty Self-Efficacy & Consistency In Simulation Grading, April Guerin

Doctor of Nursing Practice Projects

This quality improvement (QI) project aims to evaluate the effectiveness of structured training on the Creighton Competency Evaluation Instrument (C-CEI) in improving nursing faculty self-efficacy and grading consistency in clinical student evaluations. Inconsistent clinical grading practices among nursing faculty create barriers to reliable competency evaluation and undermine student outcomes. Guided by the Donabedian Model and Lewin’s Change Theory, with implementation structured by the Plan-Do-Study-Act (PDSA) cycle, a quasi-experimental pre-post intervention design was used. Participants include nursing faculty responsible for clinical evaluations, who completed structured C-CEI training delivered via self-paced modules in a learning management system. Faculty self-efficacy was measured using …

Non-Invasive Detection Of Choroidal Melanoma Via Tear-Derived Protein Corona On Gold Nanoparticles: A Machine Learning Approach, Hakimeh Rakhshandeh, Ahmad Nasiraei, Hamid Riazi-Esfahani, Babak Masoomian, Fariba Ghassemi, Mojtaba Arjmand, Saeed Heidari Keshel, Fatemeh Atyabi, Rassoul Dinarvand

Wills Eye Hospital Papers

This study investigates the feasibility of using tear sample analysis, based on protein corona formation on gold nanoparticles combined with electrospray ionization mass spectrometry (ESI-MS) and machine learning techniques, as a non-invasive approach for the detection of choroidal melanoma. The aim is to assess whether protein-nanoparticle interactions can support early and reliable identification of this ocular condition. Tear samples were collected using Schirmer strips from six healthy individuals and six patients diagnosed with choroidal melanoma, with subsequent augmentation to 18 samples per group. Gold nanoparticles (AuNPs, ~ 20 nm) were synthesized via citrate reduction and incubated with tear samples to …

Chacahoula 2025, Volume 92, Alayna Pellegrin

Chacahoula

The 2025 issue of Chacahoula includes December 2024 and May 2025 graduating classes, as well as stunning photography student life on the banks of Bayou Desiard. With features covering students, faculty, and staff, this year's time capsule preserves an academic year in the life of the University of Louisiana at Monroe.

Development And Validation Of Susceptibility Assessment Tool In Homoeopathy (Sath) In Homoeopathic Clinical Practice, Divya Taneja, Anil Khurana, Kumar Dhawale, Renu Mittal, Padmalaya Rath, Abhijit Chakma, P. Dastagiri, Pritha Mehra, Hima Bindu Ponnam, Sunil Bhalinge, Rahul Suryavanshi, Sudha Dharmarajan, Parthasarathi Chakraborty, Pooja Kumari, Priyanka Nim, Subhash Kaushik

Indian Journal of Research in Homoeopathy

Background: The homoeopathic philosophy identifies susceptibility as a key concept for prescribing a similimum, i.e., the indicated remedy and its potency. No validated instrument to measure susceptibility as high, medium or low could be identified in the literature. Objective: The present study was undertaken to identify the factors governing susceptibility assessment and to develop a simple tool for physicians to assess the susceptibility of the cases they see in their clinical practice. Material and Methods: A new questionnaire was developed using standardised procedures including item development, pilot testing, and psychometric evaluation. The psychometric properties of this pilot tool were assessed …

Investigation Of The Physicochemical Behaviour Of Acidum Citricum Homoeopathic Dilutions At Temperatures From 293.15 K To 318.15 K By Using Volumetric, Acoustic And Viscometric Methods, Anil Kumar Nain, Neha Chaudhary, Raj Kumar Manchanda, Debadatta Nayak

Indian Journal of Research in Homoeopathy

Background: The physicochemical properties of homoeopathic medicines have been gaining importance in elucidating the physicochemical behaviour (interactions) and, hence in establishing the presence of medicine at ultra-high dilutions. Objective: The present study is aimed to reconnoiter the existence of drug in ultra-diluted medicines and evidence regarding the physicochemical behaviour and prevailing interactions in the dilutions of Acidum citricum. Materials and Methods: The densities (ρ), ultrasonic speeds (u) and viscosities (η) of pure ethanol control (91% ethanol in water) and 33 dilutions of Acidum citricum of potencies across 1C to 200C at temperatures from …