Digital Commons Network^™

Early Intervention And Intensive Management Of Patients With Diabetes, Cardiorenal, And Metabolic Diseases, Yehuda Handelsman, Samuel Klein, Et Al.

2020-Current year OA Pubs

Increasing rates of obesity and diabetes have driven corresponding increases in related cardiorenal and metabolic diseases. In many patients, these conditions occur together, further increasing morbidity and mortality risks to the individual. Yet all too often, the risk factors for these disorders are not addressed promptly in clinical practice, leading to irreversible pathologic progression. To address this gap, we convened a Task Force of experts in cardiology, nephrology, endocrinology, and primary care to develop recommendations for early identification and intervention in obesity, diabetes, and other cardiorenal and metabolic diseases. The recommendations include screening and diagnosis, early interventions with lifestyle, and …

Late-Nc Staging In Routine Neuropathologic Diagnosis: An Update, Peter T Nelson, Katherine E Schwetye, Et Al.

2020-Current year OA Pubs

An international consensus report in 2019 recommended a classification system for limbic-predominant age-related TDP-43 encephalopathy neuropathologic changes (LATE-NC). The suggested neuropathologic staging system and nomenclature have proven useful for autopsy practice and dementia research. However, some issues remain unresolved, such as cases with unusual features that do not fit with current diagnostic categories. The goal of this report is to update the neuropathologic criteria for the diagnosis and staging of LATE-NC, based primarily on published data. We provide practical suggestions about how to integrate available genetic information and comorbid pathologies [e.g., Alzheimer's disease neuropathologic changes (ADNC) and Lewy body disease]. …

Access And Use Of Consortium For E-Resources In Agriculture (Cera) By The Research Scholars And Post Graduate Students Of The Krc College Of Horticulture, Arabhavi, Uhs Bagalkot, Manjunath B. Hadimani Mr., Vinayaka M. Bankapur Dr.

Library Philosophy and Practice (e-journal)

In the electronic information age, consortiums are gaining more importance. The consortia movement has entered libraries and has received attention from the information-producing community. CeRA consortium is a tremendously great effort on the part of the Indian Council of Agricultural Research (ICAR) to propose single-window access to e-resources to State Agricultural Universities (SAU)/ICAR institutes all over India. CeRA subscribed to e-Resources and create/facilitate an e-environment and e-access culture for faculty, scientists, research scholars, and students in the National Agricultural Research and Education System. The current study attempts to understand the access and use of CeRA among the researchers and PG …

The Present And Future Status Of Heavy Neutral Leptons, Asli M. Abdullahi, Pablo Barham Alzás, Brian Batell, James Beacham, Alexey Boyarsky, Saneli Carbajal, Animesh Chatterjee, José I. Crespo-Anadón, Frank F. Deppisch, Albert De Roeck, Marco Drewes, Alberto Martin Gago, Rebeca Gonzalez Suarez, Evgueni Goudzovski, Athanasios Hatzikoutelis, Josu Hernandez-Garcia, Matheus Hostert, Marco Hufnagel, Philip Ilten

Faculty Research, Scholarly, and Creative Activity

The existence of nonzero neutrino masses points to the likely existence of multiple Standard Model neutral fermions. When such states are heavy enough that they cannot be produced in oscillations, they are referred to as heavy neutral leptons (HNLs). In this white paper, we discuss the present experimental status of HNLs including colliders, beta decay, accelerators, as well as astrophysical and cosmological impacts. We discuss the importance of continuing to search for HNLs, and its potential impact on our understanding of key fundamental questions, and additionally we outline the future prospects for next-generation future experiments or upcoming accelerator run scenarios.

Road Traffic Management Using Vehicle-To- Everything (V2x) Communication, Azzeddine Ben Khadra

Theses

Traffic congestion is the primary concern in dense cities; while the increased number of automobiles is becoming uncontrollable in some cities, it is more challenging to manage or change how people use cars. To contribute to solving traffic congestion in cities, this project examines the study of transferring vehicles to be competent in a way that can help the government entities analyze the received vehicles’ data and for better decisions on reducing traffic congestion as well as the real-time monitoring of traffic wherever it is located using the Vehicle-to-Everything (V2X) communication methodology. This study proposes a hardware “system” that can …

Using Decision-Tree Analysis For Predicting Wildfires Impact On Vegetation In Australia, Saif Al-Khuraisat

Theses

This research aims to use machine learning algorithm to predict wildfires impact on green landscape based on weather conditions while exploring factors that could influence the possibility. By utilizing the generated results, it could help decision-makers and authorities to come-up with best possible strategy to prepare for and respond to wildfires. Being prepare will work toward the economy best interest by saving unintended expenditure in time of crises also saves the cash liquidity along the economy on the long-term. For example, back in East cost of United States of America in Florida, in 1998, the estimated economical losses because of …

Practical Led-Based Spectral Imaging For Cultural Heritage Studio Photography, Olivia R. Kuzio

Theses

"Wouldn't it be better if 99% of institutions were working toward 99% accuracy, rather than 1% of institutions working toward 100% accuracy?" — John Barrett (Senior Photographer, Bodleian Libraries) during the AHFAP panel discussion "The Practical Implementation of Imaging Standards" in February 2022. In an increasingly virtual world, cultural heritage collections are more frequently experienced on a screen than in person. For especially precious or ephemeral works, reproductions may serve as the primary means of interacting with them. Often, series of works or related pieces are held in different collections, and it may be logistically complicated to exhibit them together …

Empirical Investigations And Dataset Collection For American Sign Language-Aware Personal Assistants, Abraham Trout Glasser

Theses

Proliferation of voice-controlled personal-assistant devices poses accessibility barriers for Deaf and Hard of Hearing (DHH) users. It is estimated that 128 million people use a voice assistant in the United States, and 4.2 billion digital voice assistants being used around the world, e.g. through over 60,000 different smart home devices that support Amazon's Alexa, which is one instance of virtual assistants [97,134]. The ongoing (at the time of this dissertation) coronavirus pandemic has accelerated the uptake of home-based, voice-controlled devices. As artificial intelligence researchers and developers are working on American Sign Language (ASL) recognition technologies, Human-Computer Interaction (HCI) research is …

Smart Hvac System For A Residential House In Kerala, India And Study Of Green Building Regulations In Thrissur, Kerala, India And Dubai, Uae, Sariga Sunilkumar

Theses

The objective is to analyze the green building regulations in Dubai, UAE and Thrissur, Kerala. By comparing these regulations. An understanding of the factors that impact the residents of the building built using these green building regulations and what can be learned from each regulation, and if there is a common factor connecting these two cities with different climates. The rising temperatures in fact have reduced similarities between the two, as Thrissur is a tropical wet climate and Dubai is hot however the temperatures and humidity levels during the summer are similar. The comparative analysis will allow for the determination …

Primary Central Nervous System Germ Cell Tumors In Children And Young Adults: A Review Of Controversies In Diagnostic And Treatment Approach, Kee Kiat Yeo, Sumanth Nagabushan, Girish Dhall, Mohamed S Abdelbaki

2020-Current year OA Pubs

Primary central nervous system (CNS) germ cell tumors (GCT) are a rare heterogenous group of cancers, arising most commonly in the second decade of life. Through several clinical trials conducted around the world by various groups, the treatment approach for CNS GCT has advanced substantially with generally improved overall outcomes. In recent years, the goal of clinical trials has been focused on reduction of the radiotherapy burden and minimization of long-term toxicity. This review summarizes the current diagnostic and treatment regimens for CNS GCT, examines the controversies associated with these approaches, gaps in contemporary knowledge, and underscores the challenges we …

Navigating Care For Rare Diseases: Caregiver And Patient Advice For Families And Clinicians Managing Care For Vascular Malformations, Anna M Kerr, Christine Bereitschaft, Kayla M Duty, Bryan A Sisk

2020-Current year OA Pubs

OBJECTIVE: Families affected by rare diseases face many challenges finding adequate care and often report poor communication with clinicians. In the current study, we explore patient and caregiver advice for families and clinicians in the context of complex vascular malformations (VMs), a condition that is frequently misunderstood and misdiagnosed.

METHODS: We performed semi-structured interviews with 21 adult patients with complex VMs and 24 caregivers of children with VMs. We analyzed the transcripts using thematic analysis.

RESULTS: Participants advised patients and caregivers to advocate for care, address mental and emotional well-being, seek social support, and promote self-management and self-care. Participants advised …

Multi-Ancestry Transcriptome-Wide Association Analyses Yield Insights Into Tobacco Use Biology And Drug Repurposing, Fang Chen, Lisa De Las Fuentes, Et Al.

2020-Current year OA Pubs

Most transcriptome-wide association studies (TWASs) so far focus on European ancestry and lack diversity. To overcome this limitation, we aggregated genome-wide association study (GWAS) summary statistics, whole-genome sequences and expression quantitative trait locus (eQTL) data from diverse ancestries. We developed a new approach, TESLA (multi-ancestry integrative study using an optimal linear combination of association statistics), to integrate an eQTL dataset with a multi-ancestry GWAS. By exploiting shared phenotypic effects between ancestries and accommodating potential effect heterogeneities, TESLA improves power over other TWAS methods. When applied to tobacco use phenotypes, TESLA identified 273 new genes, up to 55% more compared with …

Dissecting Cell Identity Via Network Inference And In Silico Gene Perturbation, Kenji Kamimoto, Blerta Stringa, Christy M Hoffmann, Kunal Jindal, Lilianna Solnica-Krezel, Samantha A Morris

2020-Current year OA Pubs

Cell identity is governed by the complex regulation of gene expression, represented as gene-regulatory networks

Final Results From A Phase 2b Randomized, Placebo-Controlled Clinical Trial Of Rbx2660: A Microbiota-Based Drug For The Prevention Of Recurrent Clostridioides Difficile Infection, Erik R Dubberke, Robert Orenstein, Sahil Khanna, Beth Guthmueller, Christine Lee

2020-Current year OA Pubs

INTRODUCTION: Effective treatments for recurrent Clostridioides difficile infection (rCDI) are urgently needed. RBX2660 is an investigational microbiota-based live biotherapeutic to reduce CDI recurrence following standard-of-care antibiotic treatment in individuals with rCDI. Here we report the final safety data through 24 months of follow-up as well as final efficacy data, reflecting alignment of the pre-specified statistical analysis plan definitions with the data presented.

METHODS: The PUNCH CD2 clinical trial was a prospective, multicenter, randomized, double-blinded, placebo-controlled, three-arm phase 2b study conducted to evaluate the efficacy and safety of RBX2660 for the reduction of rCDI compared to placebo. Eligible patients were at …

Missed Opportunities In The Diagnosis Of Tuberculosis Meningitis, Niamh Simmons, Margaret A Olsen, Joanna Buss, Thomas C Bailey, Carlos Mejia-Chew

2020-Current year OA Pubs

BACKGROUND: Tuberculosis meningitis (TBM) has high mortality and morbidity. Diagnostic delays can impact TBM outcomes. We aimed to estimate the number of potentially missed opportunities (MOs) to diagnose TBM and determine its impact on 90-day mortality.

METHODS: This is a retrospective cohort of adult patients with a central nervous system (CNS) TB

RESULTS: Of 893 patients with TBM, median age at diagnosis was 50 years (interquartile range, 37-64), 61.3% were male, and 35.2% had Medicaid as primary payer. Overall, 407 (45.6%) had a prior hospital or ED visit with an MO code. In-hospital 90-day mortality was not different between those …

Autophagy Requirements For Eye Lens Differentiation And Transparency, Lisa Brennan, M Joseph Costello, J Fielding Hejtmancik, A. Menko, S Amer Riazuddin, Alan Shiels, Marc Kantorow

Department of Pathology, Anatomy, and Cell Biology Faculty Papers

Recent evidence points to autophagy as an essential cellular requirement for achieving the mature structure, homeostasis, and transparency of the lens. Collective evidence from multiple laboratories using chick, mouse, primate, and human model systems provides evidence that classic autophagy structures, ranging from double-membrane autophagosomes to single-membrane autolysosomes, are found throughout the lens in both undifferentiated lens epithelial cells and maturing lens fiber cells. Recently, key autophagy signaling pathways have been identified to initiate critical steps in the lens differentiation program, including the elimination of organelles to form the core lens organelle-free zone. Other recent studies using ex vivo lens culture …

Description

Journal of Dispute Resolution

No abstract provided.

Table Of Contents

Journal of Dispute Resolution

No abstract provided.

Orienting Toward Party Choice: A Simple Self-Determination Tool For Mediators, Robert A. Baruch Bush, Dan Berstein

Journal of Dispute Resolution

No abstract provided.

Analyzing The Anatomy Of Innovative Investment Treaty Drafting: The Quest To Safeguard The Right To Regulate, Naimeh Masumy, Carrie Shu Shang

Journal of Dispute Resolution

No abstract provided.

Competing For The Starting Line: How Ombuds Programs Can Help Transgender Student Athletes Participate Under Various State Policies, Drew Fabricius

Journal of Dispute Resolution

No abstract provided.

Legislative Update, Wensdai Brooks, Connor Mcateer, Myca Sutton, Des'aire Taylor, Hannah Williams

Journal of Dispute Resolution

The Legislative Update exists to inform the reader of various state and federal laws passed during the 2021-2022 legislative sessions. More specifically, the statutes discussed below relate to alternative dispute resolution (“ADR”) in its many forms. This is an annual update compiled and written by the Journal of Dispute Resolution’s Associate Members and edited by the Associate Editor-in-Chief. This year represented a wide mix of laws passed—some related to health and safety in a post-pandemic world; others posed solutions to problems relevant before the COVID-19 pandemic. Usually, the Legislative Update is limited exclusively to state legislation. We decided to include …

Appendix A

Journal of Dispute Resolution

Appendix A for article Orienting Toward Party Choice

House Price Prediction Using Machine Learning Model, Abdulla Alfalasi

Theses

Data Analytics and Machine Learning play an important role in extracting insights and patterns from datasets. The primary objective of using the above techniques for real world problems is to understand the intricacies of the problem, which is impossible with the help of manual human effort. The below chart shows the price trend (per sq. ft) over the past 10 years in Dubai, with a steady rise during the years from 2014. The 2020 pandemic plummeted the global prices due to the lack of demand and travel restrictions, which is clearly depicted in the chart. But at the very end …

Potassium Fertilizer Rate Recommendations: Does Accounting For Soil Stock Of Potassium Matter?, Kimberly B. Oliver, Michael P. Popp, Di Fang, John D. Anderson, Nathan A. Slaton, Gerson L. Drescher, Trenton L. Roberts, Jada Thompson

Agricultural Economics and Agribusiness Faculty Publications and Presentations

Profitability, yield, and fertilizer use are compared across three different potassium (K) fertilizer rate recommendation ideologies. Existing agronomic, “build and maintain” rate recommendations (KE) are compared to profit-maximizing rates with and without taking long-run soil-test K (STK) implications into account. Regardless of starting STK, K use equilibrated over the course of 3 years irrespective of ideology. Since taking long-run STK into account did not alter ending STK and only led to a miniscule yield effect, we encourage producers to use annual profit-maximizing K rates that were 3–11% lower than KE rates and generated more profit with minimal yield loss.

Myostatin And Follistatin As Monitoring And Prognostic Biomarkers In Dysferlinopathy, Ursula Moore, Alan Pestronk, Et Al.

2020-Current year OA Pubs

Myostatin is a myokine which acts upon skeletal muscle to inhibit growth and regeneration. Myostatin is endogenously antagonised by follistatin. This study assessed serum myostatin and follistatin concentrations as monitoring or prognostic biomarkers in dysferlinopathy, an autosomal recessively inherited muscular dystrophy. Myostatin was quantified twice with a three-year interval in 76 patients with dysferlinopathy and 38 controls. Follistatin was quantified in 62 of these patients at the same timepoints, and in 31 controls. Correlations with motor function, muscle fat fraction and contractile cross-sectional area were performed. A regression model was used to account for confounding variables. Baseline myostatin, but not …

Sex-Specific Hypnotic Effects Of The Neuroactive Steroid (3Β,5Β,17Β)-3-Hydroxyandrostane-17-Carbonitrile Are Mediated By Peripheral Metabolism Into An Active Hypnotic Steroid, Francesca M Manzella, Omar H Cabrera, Davis Wilkey, Brier Fine-Raquet, Jelena Klawitter, Kathiresan Krishnan, Douglas F Covey, Vesna Jevtovic-Todorovic, Slobodan M Todorovic

2020-Current year OA Pubs

BACKGROUND: The novel synthetic neuroactive steroid (3β,5β,17β)-3-hydroxyandrostane-17-carbonitrile (3β-OH) blocks T-type calcium channels but does not directly modulate neuronal γ-aminobutyric acid type A (GABA

METHODS: We used a combination of behavioural loss of righting reflex, neuroendocrine, pharmacokinetic, in vitro patch-clamp electrophysiology, and in vivo electrophysiological approaches in wild-type mice and in genetic knockouts of the Ca

RESULTS: Adult male mice were less sensitive to the hypnotic effects of 3β-OH compared with female mice, and these differences appeared during development. Adult males had higher 3β-OH brain concentrations despite being less sensitive to its hypnotic effects. Females metabolised 3β-OH into the active GABA …

Extending Outbreak Investigation With Machine Learning And Graph Theory: Benefits Of New Tools With Application To A Nosocomial Outbreak Of A Multidrug-Resistant Organism, Andrew Atkinson, Benjamin Ellenberger, Vanja Piezzi, Tanja Kaspar, Luisa Salazar-Vizcaya, Olga Endrich, Alexander B Leichtle, Jonas Marschall

2020-Current year OA Pubs

OBJECTIVE: From January 1, 2018, until July 31, 2020, our hospital network experienced an outbreak of vancomycin-resistant enterococci (VRE). The goal of our study was to improve existing processes by applying machine-learning and graph-theoretical methods to a nosocomial outbreak investigation.

METHODS: We assembled medical records generated during the first 2 years of the outbreak period (January 2018 through December 2019). We identified risk factors for VRE colonization using standard statistical methods, and we extended these with a decision-tree machine-learning approach. We then elicited possible transmission pathways by detecting commonalities between VRE cases using a graph theoretical network analysis approach.

RESULTS: …

Machine Learning Approximations To Predict Epigenetic Age Acceleration In Stroke Patients, Isabel Fernández-Pérez, Joan Jiménez-Balado, Uxue Lazcano, Eva Giralt-Steinhauer, Lucía Rey Álvarez, Elisa Cuadrado-Godia, Ana Rodríguez-Campello, Adrià Macias-Gómez, Antoni Suárez-Pérez, Anna Revert-Barberá, Isabel Estragués-Gázquez, Carolina Soriano-Tarraga, Jaume Roquer, Angel Ois, Jordi Jiménez-Conde

2020-Current year OA Pubs

Age acceleration (Age-A) is a useful tool that is able to predict a broad range of health outcomes. It is necessary to determine DNA methylation levels to estimate it, and it is known that Age-A is influenced by environmental, lifestyle, and vascular risk factors (VRF). The aim of this study is to estimate the contribution of these easily measurable factors to Age-A in patients with cerebrovascular disease (CVD), using different machine learning (ML) approximations, and try to find a more accessible model able to predict Age-A. We studied a CVD cohort of 952 patients with information about VRF, lifestyle habits, …

Lgmdd1 Natural History And Phenotypic Spectrum: Implications For Clinical Trials, Andrew R Findlay, Sarah E Robinson, Stephanie Poelker, Michelle Seiffert, Rocio Bengoechea, Conrad C Weihl

2020-Current year OA Pubs

OBJECTIVE: To delineate the full phenotypic spectrum and characterize the natural history of limb girdle muscular dystrophy type D1 (LGMDD1).

METHODS: We extracted age at clinical events of interest contributing to LGMDD1 disease burden via a systematic literature and chart review. Manual muscle testing and quantitative dynamometry data were used to estimate annualized rates of change. We also conducted a cross-sectional observational study using previously validated patient-reported outcome assessments (ACTIVLIM, PROMIS-57) and a new LGMDD1 questionnaire. Some individuals underwent repeat ACTIVLIM and LGMDD1 questionnaire assessments at 1.5 and 2.5 years.

RESULTS: A total of 122 LGMDD1 patients were included from …