Digital Commons Network^™

Characterization Of The Vaginal Microbiome Of Postmenopausal Patients Receiving Chemoradiation For Locally Advanced Cervical Cancer, Brett A. Tortelli, Jessika Contreras, Stephanie Markovina, Li Ding, Kristine M. Wylie, Julie K. Schwarz

2020-Current year OA Pubs

The standard-of-care treatment of locally advanced cervical cancer includes pelvic radiation therapy with concurrent cisplatin-based chemotherapy and is associated with a 30%-50% failure rate. New prognostic and therapeutic targets are needed to improve clinical outcomes. The vaginal microbiome has been linked to the pathogenesis of cervical cancer, but little is known about the vaginal microbiome in locally advanced cervical cancer as it relates to chemoradiation. In this pilot study, we utilized 16S rRNA gene community profiling to characterize the vaginal microbiomes of 26 postmenopausal women with locally advanced cervical cancer receiving chemoradiation. Our analysis revealed diverse anaerobe-dominated communities whose taxonomic …

Sleep-Wake Variation In Body Temperature Regulates Tau Secretion And Correlates With Csf And Plasma Tau, Geoffrey Canet, Brendan P. Lucey, Et Al.

2020-Current year OA Pubs

Sleep disturbance is bidirectionally associated with an increased risk of Alzheimer's disease and other tauopathies. While the sleep-wake cycle regulates interstitial and cerebrospinal fluid (CSF) tau levels, the underlying mechanisms remain unknown. Understanding these mechanisms is crucial, given the evidence that tau pathology spreads through neuron-to-neuron transfer, involving the secretion and internalization of pathological tau forms. Here, we combined in vitro, in vivo, and clinical methods to reveal a pathway by which changes in body temperature (BT) over the sleep-wake cycle modulate extracellular tau levels. In mice, a higher BT during wakefulness and sleep deprivation increased CSF and plasma tau …

Contextualized Graph Neural Network For Node Classification

Defensive Publications Series

Graph Neural Networks (GNNs) have been widely adopted for graph-structured data analysis. However, the performance of standard GNN models often suffers when applied to heterophilous graphs, where connected nodes tend to have dissimilar labels. This paper introduces the Contextualized Graph Neural Network (CGNN), a novel GNN architecture that enhances node representation learning by explicitly modeling the context of each node. CGNN uses a context encoding module to capture contextual information, followed by an adaptive message-passing mechanism, and finally a context-aware aggregation module. We provide a detailed algorithm and a Python implementation using PyTorch. Experimental results on benchmark heterophilous graph datasets …

Adaptive Relational Graph Network

Defensive Publications Series

Graph Neural Networks (GNNs) have demonstrated significant potential for learning from graphstructured data. However, their performance often degrades on heterophilous graphs, where linked nodes exhibit dissimilar features. In this paper, we introduce the Adaptive Relational Graph Network (ARGN), a novel GNN architecture designed specifically to handle heterophily. ARGN utilizes a relational attention mechanism to capture complex relationships between nodes, coupled with an adaptive neighborhood selection strategy to dynamically identify relevant neighbors. Multi-hop information propagation is then used to enhance the node representations. We provide a detailed algorithm and implementation of ARGN using PyTorch. Our experiments on several benchmark heterophilous datasets …

Adaptive Neighborhood Graph Neural Network For Graph Learning

Defensive Publications Series

Graph Neural Networks (GNNs) have become a powerful tool for processing graph-structured data. However, standard GNNs struggle when applied to heterophilous graphs, where connected nodes tend to have dissimilar features. In this paper, we introduce the Adaptive Neighborhood Graph Neural Network (ANGNN), a novel GNN architecture that learns to adaptively select neighbors for each node based on their feature similarity. ANGNN uses a weighted aggregation mechanism after neighborhood selection for robust representation learning on heterophilous graphs. We provide a detailed algorithm and implementation of ANGNN using PyTorch. Experimental results on several benchmark heterophilous datasets demonstrate that ANGNN significantly outperforms standard …

Faith And Science In Harmony: Reconciling Evolution With Biblical Inerrancy, Kristy Azzam

Undergraduate Research and Engagement Symposium

This presentation explores how Christians can reconcile the concept of evolution with the inerrancy of the bible from a faith-based worldview.

Investigating The Intersection Of ‘God Of The Gaps’ And Noma, Francesca Hammerstein

Undergraduate Research and Engagement Symposium

This study explores the intersection between God-of-the-gaps arguments and whether these arguments cooperate with the guidelines of Stephen Jay Gould’s view of “non-overlapping magisteria” (NOMA). God-of-the-gaps arguments are used to explain current unexplained scientific phenomena by crediting God. If new scientific discoveries can eventually explain these phenomena, this would decrease the evidence for God. Three perspectives on this argument are explored: both theological and scientific arguments against God-of-the-gaps and an argument in favor of God-of-the-gaps. Through reading these perspectives, the findings suggest that each point of view presents an argument showing that God-of-the-gaps does not cooperate with the NOMA guidelines.

Science Communication And Religious Tensions In Healthcare, Emily Ngo

Undergraduate Research and Engagement Symposium

This research aims to explain the Christian healthcare professionals' experience of dealing with tension caused by their religious beliefs with scientific knowledge. This emphasizes the importance of science communication in dealing with such challenges. Studies show that among healthcare professionals, religiosity influences clinical decision-making and interaction with patients affecting how they respond to the moral and ethical dilemmas they encounter within practice (Dillard et al., 2023). Stahl (2021) claims that healthcare providers confront hurdles in managing religious plurality and lack the training to deal with a patient's religion without compromising scientific integrity. Harrison et al. further assess the effect of …

Characterization Of Enzyme Function After Proline To Leucine Amino Acid Mutation At Location 41 In Β-Glucosidase Enzyme, Skyler Yates-Johnson, Gabriella Rant

Undergraduate Research and Engagement Symposium

Our work is part of a research project led by the Seigel lab at University of California–Davis called Design to Data. Collaborating with undergraduate labs across the country, the goal of this project is to create large datasets that will be able to train and improve the predictive abilities of artificial intelligence protein modeling software. For our project, we generated a mutant of the enzyme β-glucosidase (BglB), characterized it, and uploaded our data to the national database. As specific amino acid mutations are characterized, the database will be able to improve the understanding of mutational effects in proteins. β-glucosidase is …

Phonological Awareness Abilities Of Undergraduate College Students: A Comparison Of Students In Related And Unrelated Majors, Jennifer Binkley, Jessica Mchugh Conlin, Terry W. Baggs, Whitney Lucas Molitor, William Schweinle

Teaching and Learning in Communication Sciences & Disorders

An observational study was conducted to evaluate the differences in the phonological awareness (PA) abilities of undergraduate college students in majors related versus unrelated to PA. In order to participate, students must not have had any formal PA or phonetics instruction at the college level. A total of 116 undergraduate students voluntarily participated in an PA assessment, with results analyzed based upon the following three categories: Communication Sciences and Disorders (CSD) major, education major, and other major. Using non-parametric statistical analysis, there were statistically significant differences in CSD majors, in multiple categories of PA skills, compared to both education majors …

Effectiveness Of An Informational Video For Establishing Students' Basic Knowledge Of Post-Stroke Aphasia, Savannah H. Cliatt, Hannah Krimm

Teaching and Learning in Communication Sciences & Disorders

The purpose of this study was to investigate changes in knowledge of post-stroke aphasia among students who watched an informational video (Kennedy et al., 2012a) created for this study compared to students who read an informational text (National Aphasia Association, n.d.). Participants included 136 undergraduate and graduate students who completed a pre-test, watched an informational video or read an informational text, completed a post-test, and then completed a maintenance test approximately four weeks later. Results of a one-way mixed ANOVA showed a statistically significant main effect of time, no statistically significant main effect of group, and no statistically significant time-by-group …

Insilico Evaluation Of The Therapeutic Effects Of N1-(5-(3-Imino-2,4a-Dihydro-3h-Benzo[F]Chromen-2-Yl)-1,3,4-Thiadiazol-2-Yl)-N10-(5-(3-Imino-3h-Benzo[F]Chromen-2-Yl)-1,3,4-Thiadiazol-2-Yl)Decanediamide As Anti-Hepatitis B And C Agent, Moses M. Edim, Njok N. Okam, Nguuma I. Gber, Jessica E. Egbelo, Israel E. Okon, Chiemerie P. Ogbonna, Emmanuel K. Aidoo, Kenneth N. Chisom, Emmanuel Samuel

Polytechnic Journal

Hepatitis B and C viruses are a major cause of cirrhosis and hepatocellular carcinoma, with significantly increasing mortality and morbidity worldwide. This study provides a detailed analysis of the therapeutic effects of N1-(5-(3-imino-2,4a-dihydro-3H-benzo[f]chromen-2-yl)-1,3,4-thiadiazol-2-yl)-N10-(5-(3-imino-3H-benzo[f]chromen-2-yl)-1,3,4-thiadiazol-2-yl) decan diamide (PRO_16) as an anti-hepatitis B and C virus. A computational DFT was applied via the ωB97XD method of theory and a basis set of 6-311G++ (2d, 2p) to evaluate the quantum mechanics of the compound. A time-dependent self-consistent field DFT method with the aforementioned functional and basis set was utilized for UV‒visible evaluation. Additionally, a molecular docking technique and ADMET prediction were used to elucidate …

Gc Minutes 2024-12-02, Northern Illinois University

Graduate Council Archives

No abstract provided.

Lanthorn, Vol. 59, No. 11, January 20, 2025, Grand Valley State University

Volume 59, August 5, 2024 – April 14, 2025

Lanthorn is Grand Valley State's student newspaper, published from 1968 to the present.

Crisis Counseling For Individuals, Couples, And Families, Virginia (Toddy) Holeman

Syllabi

No abstract provided.

Science And Christian Faith, Michael Peterson

Syllabi

No abstract provided.

The Human Person: Multidisciplinary Perspectives, Joel Chopp

Syllabi

No abstract provided.

Psychopathology: Theory And Assessment, Russell Hall

Syllabi

No abstract provided.

The Rider (2025-02-03), Rebeca Salinas

The Rider Archives

Vol.10 No.17

A Barley Pan-Transcriptome Reveals Layers Of Genotype-Dependent Transcriptional Complexity, Wenbin Guo, Miriam Schreiber, Vanda B. Marosi, Paolo Bagnaresi, Morten Egevang Jorgensen, Katarzyna B. Braune, Ken J. Chalmers, Brett Chapman, Viet Hoang Dang, Christoph Dockter, Anne Fiebig, Geoffrey B. Fincher, Agostino Fricano, John Fuller, Allison Haaning, Georg Haberer, Axel Himmelbach, Murukarthick Jayakodi, Yong Jia, Nadia Kamal, Peter Langridge, Chengdao Li

Grain and Other Field Crops Research Articles

A pan-transcriptome describes the transcriptional and post-transcriptional consequences of genome diversity from multiple individuals within a species. We developed a barley pan-transcriptome using 20 inbred genotypes representing domesticated barley diversity by generating and analyzing short- and long-read RNA-sequencing datasets from multiple tissues. To overcome single reference bias in transcript quantification, we constructed genotype-specific reference transcript datasets (RTDs) and integrated these into a linear pan-genome framework to create a pan-RTD, allowing transcript categorization as core, shell or cloud. Focusing on the core (expressed in all genotypes), we observed significant transcript abundance variation among tissues and between genotypes driven partly by RNA …

Faculty Learn To Encourage Active Learning At Campus Institute, Marisa C. Atkinson

University of Mississippi News

OXFORD, Miss. – As students enjoyed the last of their winter holiday break, 33 University of Mississippi faculty members honed their teaching skills at the university's inaugural Mobile Institute on Scientific Teaching.

Usa V. Corrigan Clay

2025 Decisions

USDC for the Western District of Pennsylvania

Distances Between Spins, Gareth R. Eaton

TeachEPR Submissions

• Distance measurement by measuring T₁ and T_2.
• Relation to DEER and CW simulation and half-field intensity.
• Dipolar and exchange interactions.
• The dynamic NMR spectral collapse picture.

Restoring The Soul To Birthing In Miami: A Call For Justice For Obstetric Racism In Miami–Dade County, Jordan Brooks, Jamarah Amani, Sannisha Dale, Dr. Karen A. Scott

University of Miami Race & Social Justice Law Review

For far too many Black mothers and birthing people, U.S. hospitals are dangerous and fail to keep our Black mothers and birthing people and their babies safe, alive, and thriving during and after childbirth. The confluence of medical racism and obstetric violence—obstetric racism—leads to a disproportionate rate of predictable, preventable, and unfair death, sickness, and trauma for Black birthing people and babies in the afterlife of slavery. Obstetric racism, as defined by Davis, is both an analytic and phenomenon that describes mechanisms of subordination, control, and dominance to which Black mothers and birthing people are subjected by health systems and …

Lake Powell Fish Sampling: Glen Canyon Dam Forebay Area, 2022 And 2023, Phaedra Budy, Casey Pennock

Browse all Datasets

Native fishes face imperilment due to habitat loss and fragmentation, megadrought, invasive species, and synergies amongst threats. These threats coalesce at Glen Canyon Dam (GCD), which impounds the Colorado River to create Lake Powell, a reservoir inhabited by a suite of nonnative fishes. Water level in Lake Powell has declined precipitously due to water overallocation and megadrought, increasing the risk of nonnative fish entrainment through the dam, as the penstocks draw water from the epilimnion. Our goal was to characterize the distribution and abundance of nonnative fishes in the vicinity of GCD and identify environmental conditions that may increase entrainment. …

Workshop On Quantitative Epr, Dave Barr, Sandra S. Eaton, Gareth R. Eaton, Ralph T. Weber, Patrick Carl, Peter Höfer, Richard W. Quine, George A. Rinard, Colin Mailer

TeachEPR Submissions

Presentations on quantitative EPR at the workshop that preceded the writing of our text, Quantitative EPR.

Presented at the 31^st Annual EPR Symposium in Breckenridge, Colorado on July 27, 2008.

Psychopathology: Theory And Assessment, Russell Hall

Syllabi

No abstract provided.

Human Development Across The Lifespan, Russell Hall

Syllabi

No abstract provided.

Seminar One: The Pastor Formed Through Preaching, Jessica Lagrone

Syllabi

No abstract provided.

A Geomatic Appraisal On Restoration Of Tank Cascade Systems In Ambuliyar Watershed, Tamilnadu, Nasir N

Theses and Dissertations

Tanks and earthen embankments used for water harvesting and storage have been a significant part of India's irrigation system since the 2nd and 3rd centuries. In Tamil Nadu, around 39,202 tanks have storage capacities of around 178.94 million cubic feet. However, they have been impacted by natural and anthropogenic threats such as soil erosion, siltation, inadequate rainfall, and drought. This study aims to determine the current storage capacity of tanks, estimate the loss in storage capacity/volume of silt, estimate the rate of siltation and life of tanks, identify soil erosion-prone zones, and map deteriorating parameters along supply channels.

The study …