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Articles 106321 - 106350 of 106416
Full-Text Articles in Entire DC Network
Rustic Fall Showpiece, Aislyn Ford
Rustic Fall Showpiece, Aislyn Ford
Student Publications
Small decorative amenity inspired by fall, featuring colorful tones of reds, yellows, browns, wheat stocks and rusty beams to create a rustic cozy feel to my piece!
Distribution By Classes Of Students Enrolled For Five-Year Period, 1929-1934, Florence State Teachers College
Distribution By Classes Of Students Enrolled For Five-Year Period, 1929-1934, Florence State Teachers College
Documents on Education and Progress of the University
Five-Year Statistics by Classes of Students Enrolled at Florence State Teachers College, 1929-1934.
From Reviews To Value: Harnessing Crowdsourced Data To Capture Visitor Perceptions And Economic Benefits Of Recreation, Laura Costadone, Shan Zhang
From Reviews To Value: Harnessing Crowdsourced Data To Capture Visitor Perceptions And Economic Benefits Of Recreation, Laura Costadone, Shan Zhang
ODU Articles
Quantifying the recreational value of protected natural areas is essential for sustainable management, conservation financing, and informed decision-making. Traditional approaches, such as on-site surveys, are often costly, spatially limited, and constrained by regulatory barriers. This study evaluates the potential of crowdsourced user-generated data to jointly assess visitor perceptions and the economic value of nature-based recreation, using Back Bay National Wildlife Refuge (Virginia, USA) as a case study. We integrated georeferenced photographs and textual content from four platforms (Flickr, TripAdvisor, Yelp, and AllTrails) with supplementary survey data to analyze visitation patterns, visitor sentiment, cultural ecosystem services, and recreational value using the …
An Educational Intervention On Mutual Goal Setting For Hospital Nurses: A Mixed-Methods Study, Teresa Jerofke-Owen, Kristi Opper, Joseph Beiler, Maharaj Singh
An Educational Intervention On Mutual Goal Setting For Hospital Nurses: A Mixed-Methods Study, Teresa Jerofke-Owen, Kristi Opper, Joseph Beiler, Maharaj Singh
College of Nursing Faculty Research and Publications
Background:
Including patients in mutual goal setting is one mechanism to personalize care delivery and improve patient outcomes.
Objective:
The purpose of this study was to examine the impact of a nurse educational intervention about mutual goal setting on nurse engagement and self-efficacy for goal setting and the nurse/patient experience of goal setting.
Methods:
During this explanatory, sequential mixed-methods study, nurse engagement in goal setting and goal quality was assessed through chart audits 1-month pre-intervention (n = 173) and 1 and 3-months (n = 144, n = 137) post-intervention. Nurse self-efficacy was measured with the Appraisal Inventory Tool. Patient experience …
Beyond Numbers: Bridging Statistical Significance And Clinical Relevance In Healthcare Research, Maharaj Singh, Waheeda Khan, Mehreen Fatima
Beyond Numbers: Bridging Statistical Significance And Clinical Relevance In Healthcare Research, Maharaj Singh, Waheeda Khan, Mehreen Fatima
College of Nursing Faculty Research and Publications
Objective: This study aims to bridge the gap between statistical significance and clinical relevance using rigorous statistical methodologies applied to simulated healthcare data, thereby enhancing the translational value of research outcomes for patient‑centered care. Methods: A synthetic dataset representing 10,000 patients was generated, and descriptive statistics were applied to compare two treatment groups. Binary outcomes were predicted using both a logistic regression model and a neural network. Two‑tailed tests with a significant level of 0.05 were employed, utilizing SAS version 9.4 and IBM SPSS Statistics, Version 29.0 (IBM Corp., Armonk, New York, United States of America). Results: The simulated dataset …
Artificial Intelligence And Mental Health: Promise, Pitfalls And Ethical Priorities, Maharaj Singh
Artificial Intelligence And Mental Health: Promise, Pitfalls And Ethical Priorities, Maharaj Singh
College of Nursing Faculty Research and Publications
Mental health conditions are prevalent across the lifespan, yet workforce shortages, long waiting times, and fragmented systems mean many people never receive timely, evidence‑based care. Artificial intelligence (AI), including machine‑learning classifiers and large language models (LLMs), is being explored to support earlier detection, closer symptom monitoring and scalable psychoeducation. Early studies suggest AI can surface risk signals from language, sleep/activity traces and clinical notes; summarise complex records for clinicians; and deliver structured self‑help at scale. At the same time, safety, bias, privacy and accountability concerns remain salient.
Validating Uas-Based Ndvi Data With Satellite Landsat Imagery For Bald Eagle Habitat Prediction In The Del Rio Springs Ecosystem, Noah Morales, Colton Weeks, Hank Vincent, Ronny Schroeder
Validating Uas-Based Ndvi Data With Satellite Landsat Imagery For Bald Eagle Habitat Prediction In The Del Rio Springs Ecosystem, Noah Morales, Colton Weeks, Hank Vincent, Ronny Schroeder
Student Works
Vegetation health is commonly assessed using the Normalized Difference Vegetation Index (NDVI), which can be derived from multispectral sensors operating at different spatial resolutions. Validating NDVI products across sensor platforms is essential to determine their reliability for environmental monitoring and habitat assessment. This research compares NDVI derived from moderate-resolution satellite imagery and high-resolution unmanned aircraft system (UAS) imagery collected over the same study area. Landsat imagery, provided through the joint USGS–NASA mission, was used to represent satellite-based vegetation patterns, while high-resolution multispectral data were acquired using a MicaSense sensor mounted on a UAS to capture fine-scale vegetation detail.
NDVI values …
Integrated Geospatial Analysis Of Burn Severity And Vegetation Recovery Of The California August Complex Fire In 2020, Dharm Barot, Ronny Schroeder
Integrated Geospatial Analysis Of Burn Severity And Vegetation Recovery Of The California August Complex Fire In 2020, Dharm Barot, Ronny Schroeder
Student Works
Large wildfires increasingly alter vegetation structure and ecosystem recovery trajectories at landscape scales, requiring reliable geospatial methods for post-fire assessment. This study evaluates burn severity and vegetation recovery following the 2020 California August Complex Fire using an integrated framework combining multispectral satellite imagery, spatial statistics, and airborne LiDAR data.
Burn severity was quantified using differenced Normalized Burn Ratio (dNBR), and vegetation recovery was assessed through a multi-temporal NBR time series spanning pre-fire (2015), fire-year (2020), and post-fire (2025) conditions. Optimized Hotspot Analysis (Gi*) was applied to isolate statistically significant clusters of high burn severity and reduce bias in recovery estimates. …
Precision Rockslide Hazard Mapping With Multispectral Imaging And Lidar Along Arizona Highway 89a, Hank Warner, Ronny Schroeder
Precision Rockslide Hazard Mapping With Multispectral Imaging And Lidar Along Arizona Highway 89a, Hank Warner, Ronny Schroeder
Student Works
Along mountainous roads, rockslides, mud slides and avalanches pose a significant risk for continued access to a region and can cause large amounts of damage to infrastructure, taking time to clear and repair. The prediction of where these events will occur can allow preventative measures to be taken, allowing sustained access and preventing costly repairs.
This study develops a method to analyze and predict rockslide risk using satellite-sourced multispectral imagery and airborne LiDAR data.
The developed method started with multispectral LANDSAT 8 imagery and airborne LiDAR captures over Arizona Highway 89A, with all data taken between late August and early …
The Performance Of Machine Learning Algorithms In Predicting Under-Five Anaemia In Tanzania, Henry Ofori Duah, Derrick Nyantakyi Owusu, Godwin G. Duah, Paul Shidende
The Performance Of Machine Learning Algorithms In Predicting Under-Five Anaemia In Tanzania, Henry Ofori Duah, Derrick Nyantakyi Owusu, Godwin G. Duah, Paul Shidende
College of Nursing Faculty Research and Publications
Aim
Anaemia in children under five remains a major public health concern, contributing significantly to global child morbidity and mortality. With the rise of machine learning (ML), novel opportunities exist to model and predict anaemia more effectively. This study aimed to evaluate and compare the performance of five ML algorithms in predicting anaemia among under-five children in Tanzania.
Methods
We conducted a secondary data analysis using the 2017 Tanzania Malaria Indicator Survey (TMICS). The dataset (n = 5906) was randomly split into training (70%) and test (30%) sets. Five ML algorithms, Linear Discriminant Analysis (LDA), Logistic Regression, Random Forest (RF), …
A Deep Learning Model To Guide Personalized Mechanical Circulatory Support Use In Cardiogenic Shock Patients Undergoing Pci, Amit P Amin, Richard G Bach, Darren C Tsang, Weili S Zheng, Raed A Qarajeh, Emmanouil S Brilakis, Hemant Kulkarni
A Deep Learning Model To Guide Personalized Mechanical Circulatory Support Use In Cardiogenic Shock Patients Undergoing Pci, Amit P Amin, Richard G Bach, Darren C Tsang, Weili S Zheng, Raed A Qarajeh, Emmanouil S Brilakis, Hemant Kulkarni
2020-Current year OA Pubs
BACKGROUND: Cardiogenic shock (CS) in patients undergoing percutaneous coronary intervention (PCI) involves rapidly changing clinical, hemodynamic, and metabolic factors that current models cannot effectively integrate.
OBJECTIVES: The purpose of this study was to develop and validate a deep learning (DL) model to guide personalized use of mechanical circulatory support (MCS) devices in CS patients undergoing PCI.
METHODS: The authors analyzed data from 1,408 CS patients treated with intra-aortic balloon pump (IABP) or microaxial flow-pump (mAFP) at multiple hospitals (2004-2019). Clinical, hemodynamic, and metabolic variables from admission to MCS placement were compiled into longitudinal vectors. Using Python 3.7 and TabNet in …
Oculomics And Ai: The Eye As A Biomarker For Health Span, Joy Le Yi Wong, Rajendra S Apte, Et Al.
Oculomics And Ai: The Eye As A Biomarker For Health Span, Joy Le Yi Wong, Rajendra S Apte, Et Al.
2020-Current year OA Pubs
As the world's population ages, the focus of healthcare is shifting from extending life span to promoting health span. There is an unmet need to identify sensitive and reliable markers of health span through more cost-effective and non-invasive methods, to enable early and effective intervention on modifiable aging factors. The eye offers a unique window into systemic health, providing direct visualization of the body's vascular and neural health. This review presents an overview of how various ocular structures can serve as biomarkers of health span-drawing on insights from ocular imaging, metabolomics, and proteomics, with evidence from basic science, animal models, …
Genome-Wide Gene-Sleep Interaction Study Identifies Novel Lipid Loci In 732,564 Participants, Raymond Noordam, Karen Schwander, Lisa De Las Fuentes, Mary F Feitosa, Anh Do, C Charles Gu, Changwei Li, Michael A Province, Dabeeru C Rao, Et Al.
Genome-Wide Gene-Sleep Interaction Study Identifies Novel Lipid Loci In 732,564 Participants, Raymond Noordam, Karen Schwander, Lisa De Las Fuentes, Mary F Feitosa, Anh Do, C Charles Gu, Changwei Li, Michael A Province, Dabeeru C Rao, Et Al.
2020-Current year OA Pubs
BACKGROUND AND AIMS: Deviations from the population mean in sleep duration have been associated with increased risk for developing dyslipidemia and atherosclerotic cardiovascular disease, but the mechanism of effect is poorly characterized. We performed large-scale genome-wide gene-sleep interaction analyses of lipid levels to identify genetic variants underpinning the biomolecular pathways of sleep-associated lipid disturbances and to suggest possible druggable targets.
METHODS: We collected data from 55 cohorts with a combined sample size of 732,564 participants (87 % European ancestry) with data on lipid traits (high-density lipoprotein [HDL-c] and low-density lipoprotein [LDL-c] cholesterol and triglycerides [TG]). Short (STST) and long (LTST) …
Airway Management In Emergency Department Thoracotomy: A Narrative Review, Aaron J Lacy, Adam Liebendorfer, Sarah M Guess, Rami S Al-Aref, Anthony P Kronfli, Rachel E Armstrong, Amelia W Maiga, Alexander Bracey, Ryan N Barnicle
Airway Management In Emergency Department Thoracotomy: A Narrative Review, Aaron J Lacy, Adam Liebendorfer, Sarah M Guess, Rami S Al-Aref, Anthony P Kronfli, Rachel E Armstrong, Amelia W Maiga, Alexander Bracey, Ryan N Barnicle
2020-Current year OA Pubs
INTRODUCTION: Emergency department thoracotomy (EDT) is a high-risk, life-saving intervention for patients in traumatic cardiac arrest. A critical component of EDT is airway management, typically performed by emergency physicians, yet formal guidance regarding optimal strategies remains limited. Airway management in this setting is uniquely complex due to concurrent anatomic injury, physiologic instability, and the procedural demands of thoracotomy.
DISCUSSION: Endotracheal intubation (ETI) during EDT presents multiple challenges. Anatomic difficulties may arise from facial or cervical trauma, restricted positioning, and the presence of cervical collars. Cognitive load is heightened by the chaotic, multidisciplinary environment, requiring strategies such as pre-briefing, checklists, and …
A Single-Cell Atlas Characterizes Dysregulation Of The Bone Marrow Immune Microenvironment Associated With Outcomes In Multiple Myeloma, William C Pilcher, Lijun Yao, Yizhe Song, Kazuhito Sato, Julia T Wang, Reyka G Jayasinghe, Jennifer A Foltz, Mark A Fiala, Chiang I-Ling, Julie Fortier, Michael Slade, Stephen T Oh, Michael P Rettig, John F Dipersio, Shaji Kumar, Ravi Vij, Li Ding, Et Al.
A Single-Cell Atlas Characterizes Dysregulation Of The Bone Marrow Immune Microenvironment Associated With Outcomes In Multiple Myeloma, William C Pilcher, Lijun Yao, Yizhe Song, Kazuhito Sato, Julia T Wang, Reyka G Jayasinghe, Jennifer A Foltz, Mark A Fiala, Chiang I-Ling, Julie Fortier, Michael Slade, Stephen T Oh, Michael P Rettig, John F Dipersio, Shaji Kumar, Ravi Vij, Li Ding, Et Al.
2020-Current year OA Pubs
Multiple myeloma (MM) remains incurable despite advances in treatment options. Although tumor subtypes and specific DNA abnormalities are linked to worse prognosis, the impact of immune dysfunction on disease emergence and/or treatment sensitivity remains unclear. We developed an Immune Atlas of MM by generating profiles of 1,397,272 single cells from the bone marrow (BM) of 337 newly diagnosed participants and characterized immune and hematopoietic cell populations. Cytogenetic risk-based analysis revealed heterogeneous associations with T cells of BM, with 17p13 deletion showing distinct enrichment of a type 1 interferon signature. The disease progression-based analysis revealed the presence of a proinflammatory immune …
A Catecholamine-Independent Pathway Controlling Adaptive Adipocyte Lipolysis, Xiao Zhang, Sreejith S Panicker, Jordan M Bollinger, Anurag Majumdar, Rami Kheireddine, Lila F Dabill, Clara Kim, Brian Kleiboeker, Fengrui Zhang, Kristann L Magee, Adam Kepecs, Gretchen A Meyer, Irfan J Lodhi, Erica L Scheller, Et Al.
A Catecholamine-Independent Pathway Controlling Adaptive Adipocyte Lipolysis, Xiao Zhang, Sreejith S Panicker, Jordan M Bollinger, Anurag Majumdar, Rami Kheireddine, Lila F Dabill, Clara Kim, Brian Kleiboeker, Fengrui Zhang, Kristann L Magee, Adam Kepecs, Gretchen A Meyer, Irfan J Lodhi, Erica L Scheller, Et Al.
2020-Current year OA Pubs
Several adipose depots, including constitutive bone marrow adipose tissue, resist conventional lipolytic cues. However, under starvation, wasting or cachexia, the body eventually catabolizes stable adipocytes through unknown mechanisms. Here we developed a mouse model of brain-evoked depletion of all fat, including stable constitutive bone marrow adipose tissue, independent of food intake, to study this phenomenon. Genetic, surgical and chemical approaches demonstrated that catabolism of stable adipocytes required adipose triglyceride lipase-dependent lipolysis but was independent of local nerves, the sympathetic nervous system and catecholamines. Instead, concurrent hypoglycaemia and hypoinsulinaemia activated a potent catabolic state by suppressing lipid storage and increasing catecholamine-independent …
Perceived Hiv Risk, Barriers, And Preferences For Hiv Testing In Structurally Vulnerable Communities In St. Louis: A Best-Worst Scaling Survey, Emmanuel K Tetteh, Noelle Le Tourneau, Gregory Gross, Mckenzie Swan, Tyrell Manning, Justin Cole, Katie Wolf, Lawrence Hudson-Lewis, Julia D López, Todd Combs, Virginia R Mckay
Perceived Hiv Risk, Barriers, And Preferences For Hiv Testing In Structurally Vulnerable Communities In St. Louis: A Best-Worst Scaling Survey, Emmanuel K Tetteh, Noelle Le Tourneau, Gregory Gross, Mckenzie Swan, Tyrell Manning, Justin Cole, Katie Wolf, Lawrence Hudson-Lewis, Julia D López, Todd Combs, Virginia R Mckay
2020-Current year OA Pubs
BackgroundPersistent gaps in efforts to end the HIV epidemic in the United States highlight the need for community-specific, evidence-based HIV testing strategies. This study investigated barriers and preferences around HIV testing among underserved populations, including Black, queer, and young adults in the St. Louis, Missouri area.MethodsWe conducted a Best-Worst Scaling (BWS) survey with adults (16+ years) recruited at community events, collecting responses electronically and providing a $25 incentive. The survey assessed the relative importance of 13 potential barriers to HIV testing such as stigma, structural barriers, and perceived HIV risk, chosen based on literature review and community input. Mean preference …
Comparison Of Breast And Gastric Her2 Immunohistochemistry (Ihc) Scoring Criteria In The Assessment Of Endometrial Carcinoma, Rachel L Furuya, Whitney Grither, Matthew A Powell, Premal H Thaker, Et Al.
Comparison Of Breast And Gastric Her2 Immunohistochemistry (Ihc) Scoring Criteria In The Assessment Of Endometrial Carcinoma, Rachel L Furuya, Whitney Grither, Matthew A Powell, Premal H Thaker, Et Al.
2020-Current year OA Pubs
BACKGROUND: Immunohistochemistry (IHC) testing is the primary method to determine HER2 status at many institutions, often with reflex to in situ hybridization (ISH). DNA- and RNA- based platforms are emerging for HER-2 assessment. While approved IHC algorithms exist for HER2 scoring in breast and gastric carcinomas, neither has been validated in endometrial cancer. This study seeks to compare them and evaluate patterns of DNA and RNA expression.
METHODS: 263 endometrioid endometrial adenocarcinoma (EEA), 275 serous endometrial carcinoma (SEC), and 214 uterine carcinosarcoma (UCS) specimens were randomly selected. Previously stained HER2 IHC slides underwent blinded review by two board-certified pathologists and …
Atomic Models Of The Toxoplasma Cell Invasion Machinery, Jianwei Zeng, Yong Fu, Pengge Qian, Wei Huang, Qingwei Niu, Wandy L Beatty, Alan Brown, L David Sibley, Rui Zhang
Atomic Models Of The Toxoplasma Cell Invasion Machinery, Jianwei Zeng, Yong Fu, Pengge Qian, Wei Huang, Qingwei Niu, Wandy L Beatty, Alan Brown, L David Sibley, Rui Zhang
2020-Current year OA Pubs
Apicomplexan parasites, responsible for toxoplasmosis, cryptosporidiosis and malaria, invade host cells through a unique gliding motility mechanism powered by actomyosin motors and a dynamic organelle called the conoid. Here, using cryo-electron microscopy, we determined structures of four essential complexes of the Toxoplasma gondii conoid: the preconoidal P2 ring, tubulin-based conoid fibers, and the subpellicular and intraconoidal microtubules. Our analysis identified 40 distinct conoid proteins, several of which are essential for parasite lytic growth, as revealed through genetic disruption studies. Comparative analysis of the tubulin-containing complexes sheds light on their functional specialization by microtubule-associated proteins, while the structure of the preconoidal …
Mapping The Genetic Landscape Across 14 Psychiatric Disorders, Andrew D. Grotzinger, Alexander S. Hatoum, Emma C. Johnson, Et Al.
Mapping The Genetic Landscape Across 14 Psychiatric Disorders, Andrew D. Grotzinger, Alexander S. Hatoum, Emma C. Johnson, Et Al.
2020-Current year OA Pubs
No abstract provided.
Steroid Hormone Metabolites And Mammographic Breast Density In Premenopausal Women, Ghazaleh Pourali, Kayode A Matthew, Myung Sik Jeon, Chongliang Luo, Gary J Patti, Jingqin Luo, Adetunji T Toriola
Steroid Hormone Metabolites And Mammographic Breast Density In Premenopausal Women, Ghazaleh Pourali, Kayode A Matthew, Myung Sik Jeon, Chongliang Luo, Gary J Patti, Jingqin Luo, Adetunji T Toriola
2020-Current year OA Pubs
BACKGROUND: Steroid hormones influence breast morphology and cellular proliferation and are associated with breast carcinogenesis. However, their associations with mammographic breast density (MBD) are less studied, particularly in premenopausal women. We, therefore, investigated the associations of steroid hormone metabolites with MBD in premenopausal women.
METHODS: Our study included 700 premenopausal women scheduled for screening mammograms. We analyzed 54 steroid hormone metabolites (Metabolon®) and assessed volumetric measures of MBD including volumetric percent density (VPD), dense volume (DV), and non-dense volume (NDV) using Volpara. We investigated associations using linear regression modeling to estimate the covariate-adjusted means of VPD, NDV, and DV, corresponding …
Critical Success Factors For An Effective Security Risk Management Program: An Exploratory Case Study, Jason A. Williams, Humayun Zafar, Saurabh Gupta
Critical Success Factors For An Effective Security Risk Management Program: An Exploratory Case Study, Jason A. Williams, Humayun Zafar, Saurabh Gupta
Faculty Articles
This paper evaluates the perceived effectiveness of the security risk management (SRM) programs at a Fortune 500 firm. Layers of management and staff participated in the study. Perceived effectiveness of their SRM programs was based on nine critical success factors (CSFs). Interviews confirmed six initial CSFs (Executive Management Support, Organizational Maturity, Open Communication, Risk Management Stakeholders, Team Member Empowerment, and Holistic View of an Organization) that were extracted from the literature. They were confirmed and synthesized with three additional CSFs (Security Maintenance, Corporate Security Strategy, and Human Resource Development). Implications for SRM are discussed.
On The Harm Of Being Deputized By God, Taylor-Grey Miller
On The Harm Of Being Deputized By God, Taylor-Grey Miller
Faith and Philosophy: Journal of the Society of Christian Philosophers
No abstract provided.
Brian Leftow, Anselm's Argument: Divine Necessity, Chad Mcintosh
Brian Leftow, Anselm's Argument: Divine Necessity, Chad Mcintosh
Faith and Philosophy: Journal of the Society of Christian Philosophers
No abstract provided.
Michael Ruse, Evolution And Christianity, Samuel Mckee
Michael Ruse, Evolution And Christianity, Samuel Mckee
Faith and Philosophy: Journal of the Society of Christian Philosophers
No abstract provided.
Epithelial-Mesenchymal Transition And Stress Adaptations Underlie Yttrium-90 Resistance In Liver Cancer Cell Lines, Alexander Zheleznyak, Dhanusha Duraiyan, Prasanth Thunuguntla, Jessica Camacho, Shuang Wu, Jingxia Liu, Jason D Weber, Daniel L J Thorek, Benjamin S Strnad, Ryan C Fields, Matthew A Ciorba, Christine Yoon, Valerie Blanc, Nicholas Davidson, Jessica Silva-Fisher, Christopher D Malone
Epithelial-Mesenchymal Transition And Stress Adaptations Underlie Yttrium-90 Resistance In Liver Cancer Cell Lines, Alexander Zheleznyak, Dhanusha Duraiyan, Prasanth Thunuguntla, Jessica Camacho, Shuang Wu, Jingxia Liu, Jason D Weber, Daniel L J Thorek, Benjamin S Strnad, Ryan C Fields, Matthew A Ciorba, Christine Yoon, Valerie Blanc, Nicholas Davidson, Jessica Silva-Fisher, Christopher D Malone
2020-Current year OA Pubs
UNLABELLED: Molecular signatures predict prognosis in hepatocellular carcinoma, but their relevance to transarterial radioembolization (TARE) with yttrium-90 (90Y) is unknown. We aimed to identify baseline and treatment-induced pathways associated with response and nominate biomarkers. Ten transcriptomically diverse human liver cancer cell lines were exposed to escalating activities of glass 90Y microspheres for 10 days. Normalized AUC values quantified sensitivity. Whole-transcriptome RNA sequencing at baseline and after treatment was analyzed with elastic net regression and gene set enrichment. Findings were corroborated by qRT-qPCR and exploratory analysis of pretreatment tumor samples from patients undergoing TARE. Liver cancer cell line responses to 90Y …
A Microenvironment-Driven Hla-Ii-Associated Insulin Neoantigen Elicits Persistent Memory T Cell Activation In Diabetes, Neetu Srivastava, Anthony N Vomund, Rongzhen Yu, Orion J Peterson, Yuqing Yang, David P Turicek, Omar Abousaway, Tiandao Li, Pamela Stone, Aisha Ansar, Rima Melhem, Bo Zhang, Chang Liu, Hao Hu, Chyi-Song Hsieh, Laura Campisi, Emil R Unanue, Ana Maria Arbelaez, Cheryl F Lichti, Xiaoxiao Wan, Et Al.
A Microenvironment-Driven Hla-Ii-Associated Insulin Neoantigen Elicits Persistent Memory T Cell Activation In Diabetes, Neetu Srivastava, Anthony N Vomund, Rongzhen Yu, Orion J Peterson, Yuqing Yang, David P Turicek, Omar Abousaway, Tiandao Li, Pamela Stone, Aisha Ansar, Rima Melhem, Bo Zhang, Chang Liu, Hao Hu, Chyi-Song Hsieh, Laura Campisi, Emil R Unanue, Ana Maria Arbelaez, Cheryl F Lichti, Xiaoxiao Wan, Et Al.
2020-Current year OA Pubs
The antigenic landscape of autoimmune diabetes reflects a failure to preserve self-tolerance, yet how novel neoantigens emerge in humans remains incompletely understood. Here we designed an immunopeptidomics-based approach to probe HLA-II-bound, islet-derived neoepitopes in patients with type 1 diabetes. We uncovered a Cys→Ser transformation, conserved between mice and humans, that reshapes autoreactivity to insulin at the single-residue level. This transformation, which we call C19S, arises from oxidative remodeling of insulin in stressed pancreatic islets and also occurs in cytokine-activated antigen-presenting cells, contributing to a feed-forward loop of neoepitope formation and presentation. Despite involving just one amino acid, C19S is recognized …
Pati Hill Collection Finding Aid, Arcadia University
Pati Hill Collection Finding Aid, Arcadia University
Finding Aids
No abstract provided.
Flexible Cu Nanostructured Laser-Induced Graphene Electrodes For Highly Sensitive And Non-Invasive Lactate Detection In Saliva, Anju Joshi, Gymama Slaughter
Flexible Cu Nanostructured Laser-Induced Graphene Electrodes For Highly Sensitive And Non-Invasive Lactate Detection In Saliva, Anju Joshi, Gymama Slaughter
Center for Bioelectronics Publications
A scalable and facile fabrication strategy is presented for developing a flexible, nanostructured, non-enzymatic electrochemical sensor for lactate detection based on copper-modified laser-induced graphene (CuNPs/LIG). A one-step electrodeposition process was employed to uniformly decorate the porous LIG framework with copper nanostructures, offering a cost-effective and reproducible approach for constructing enzyme-free sensing platforms. Scanning electron microscopy and energy-dispersive X-ray spectroscopy confirmed dense Cu nanostructure loading and efficient interfacial integration across the conductive LIG surface. The resulting CuNPs/LIG electrode exhibited excellent electrocatalytic performance, achieving a sensitivity of 8.56 μA µM−¹ cm−² with a low detection limit of 42.65 …
A Scalable Paper-Based Electrochemical Sensor Employing Mwcnts For Isoniazid Detection, Sri Ramulu Torati, Gymama Slaughter
A Scalable Paper-Based Electrochemical Sensor Employing Mwcnts For Isoniazid Detection, Sri Ramulu Torati, Gymama Slaughter
Center for Bioelectronics Publications
Isoniazid (INZ) is an antimicrobial agent that treats tuberculosis by inhibiting the InhA enzyme in Mycobacterium tuberculosis, making sensitive and reliable methods for routine monitoring essential to ensure safe and effective therapy. We report the development of a novel paper-based electrochemical sensor for the sensitive and selective detection of isoniazid. The sensor is constructed using a gold inkjet-printed electrode (GIPE) modified with gold nanoparticles (AuNPs), chitosan (CH), and multi-walled carbon nanotubes (MWCNTs), forming a GIPE/AuNPs/CH/MWCNTs sensor. Electrochemical deposition of AuNPs effectively addressed insulating gaps generated during the sintering of the gold ink, enhancing electrical conductivity and surface uniformity. The …