Digital Commons Network^™

Draft Final 2025 Residential Metals Abatement Program (Rmap) Rock Creek Cattle Company Borrow Submittal #1, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Exploring The Relationship Between Students' Attitudes Toward Mathematics And Mathematics Achievement In The Uae, Nadeia Alalawi

International Journal for Research in Education

This study presents the relationship between students' attitudes toward mathematics and mathematics achievement in the United Arab Emirates (UAE) using the Trends in International Mathematics and Science Study (TIMSS) 2019 data. The target population is grade 8 UAE students, and the sample consisted of 22,334 eighth-grade students. The researcher used the variables "like learning mathematics," "confident in mathematics," and "value mathematics" to represent the independent variable, students' attitudes toward mathematics. The dependent variable, achievement in mathematics, contains four content domains (algebra, geometry, data probability, and numbers) and three cognitive domains (knowing, applying, and reasoning). After conducting regression analysis, the researcher …

The Impact Of Utilizing Ai-Enhanced Cognitive Trips On Academic Achievement And Attitude Improvement Towards Mathematics Among Secondary School Students, Rahma S. Thakir Dr

International Journal for Research in Education

This research aims to investigate the effectiveness of utilizing AI-enhanced cognitive trips in enhancing academic achievement and improving attitudes towards mathematics among second-grade secondary school students in the Jeddah Education Administration, Saudi Arabia. The study employed an experimental methodology with a pre-test-post-test design, utilizing control and experimental groups and a qualitative research approach. The research sample comprised 60 students, divided into control and experimental groups, each consisting of 30 students. To achieve the study's objectives, cognitive trips enhanced with AI tools were designed. An academic achievement test and a mathematics attitude scale were developed, alongside an interview questionnaire to identify …

All Graphs Of Order N With Distinguishing Number N−1 Or N − 2, Andi Pujo Rahadi, Edy Tri Baskoro, Suhadi Wido Saputro

Theory & Applications of Graphs

Let G be a simple connected graph. The distinguishing number of G, denoted by D(G), is the least integer d such that G has a vertex d-labeling preserved only by the trivial automorphism. In this paper, we characterize all graphs of order n with distinguishing number n − 1, or n − 2.

The Online Education Landscape, Digital Tools, And Covid-19, Rosetta Burk

IdeaFest: Interdisciplinary Journal of Creative Works and Research from Cal Poly Humboldt

The 2020 COVID-19 pandemic has been the ultimate stress test for communication technologies, online learning methods, digital pedagogies, students and educators as the world faced school closures and emergency online learning situations during the pandemic lockdowns. There has been an influx in communication tools, digital paradigms, and teaching methodologies in addition to relying on existing digital tools and methods to continue students’ education while unable to meet in person. The level of remote learning and digital movement is unprecedented and the results have been varied and illuminating. Research has been conducted on student attitudes in the immediate aftermath of the …

Tax Clinic, Norman Milefsky

Tax Adviser

No abstract provided.

Transformer Decoder-Enhanced Swin Unetr For Multi-Organ Semantic Segmentation On Openkbp: Improving Radiotherapy Planning Accuracy, Zainab Adnan Jwad, Israa Hadi Ali

Karbala International Journal of Modern Science

Accurate segmentation of organs-at-risk (OARs) in head and neck CT scans is crucial for radiotherapy planning. The CNN-based decoder limitation of Swin UNETR hinders its capacity to process meaningful information from multiple organ positions essential for accurate medical segmentation. The proposed Transformer Decoder-enhanced Swin UNETR model targets the OpenKBP dataset multi-organ segmentation through its dedicated design for this purpose. The model utilizes transformers along with cross-attention approaches in its decoder to improve segmentation mask outputs through analysis of extensive global information. The model gets additional feature representation power through the addition of squeeze-and-excitation (SE) blocks linked with spatial attention mechanisms …

Computational Approach: 3d-Qsar, Molecular Docking, Molecular Dynamics Simulation Investigations, Drug- Like-Ness, And Dft Score Evaluation Of A Potential Novel And Retrosynthesis Of Some Tr-H Derivatives As Streptococcus Pneumoniae Drug., Belaidi Mustapha, Tchouar Noureddine, Djelilate Mohammed, Saleh Bufarwa, Dalal K. Thbayh

Karbala International Journal of Modern Science

Streptococcus pneumoniae is the main source of hospital-acquired pneumonia and meningococcal pneumonia in children, adults, and the elderly, especially the immunocompromised. Recently, it has attracted the attention of many research studies around the world as a potential target for remediation. TR-H are considered SP antibacterial agents, as they can inhibit. To describe their mode of action and to identify new antibacterial drugs against Streptococcus pneumoniae exhibiting the TR-H scaffold, the present work included 3D-QSAR, in- silico pharmacokinetic evaluation and molecular simulation modelling of TR-H. Using an atom-based method for quantitative structure-activity relationship (QSAR) study, a comprehensive 3D-QSAR model …

Disproportionality Of African Americans In Texas Special Education, Catherine Boggs, Jemimah Young

Journal of Multicultural Affairs

Research has indicated that historically, African Americans received disproportionate special education services (Fish, 2019; Sabnis et al., 2020; Sullivan & Osher, 2019; Watkins & Kurtz, 2001). This is specifically problematic in states and cities with smaller proportions of African Americans, such as Texas. Data indicate that the Texas Education Agency (TEA) remains non-compliant with the implementation of its Corrective Action Plan (CAP), which was issued federally by the Office of Special Education Programs due to restricting the percentage of students qualifying for special education (Morgan et al., 2023). The purpose of this study was to categorize, quantify, and examine the …

Potential Economic Impact Of Grapevine Phylloxera (Hemiptera: Phylloxeridae) On Western Australian Winegrapes, David C. Cook, Andrew S. Taylor, Peter S. Gardiner, Rodrigo Pires, Hamish L R Mckirdy, Karen W. Holmes, Helen Spafford

Viticulture Research Articles

Grapevine phylloxera Daktulosphaira vitifoliae Fitch (Hemiptera: Phylloxeridae) has been present in Australia for almost 150 years but has not spread to south-west Western Australia, in part due to the relative isolation of the region. Recent improvements in tourist access, with interstate flights now arriving at Busselton Margaret River Airport, raise concerns about potential phylloxera introductions via wine tourism. In this paper, we simulate the potential economic impact on the Western Australian winegrape industry following a hypothetical arrival event in the Margaret River wine region. We use soil texture maps to assess the suitability of winegrape-growing areas to phylloxera establishment and …

Skin Cancer Diagnosis Utilizing Hybrid Discrete Cosine Transform And High-Performance Convolutional Neural Networks, Mohammed M. Abo-Zahhad, Mohammed Abo-Zahhad

Mansoura Engineering Journal

Detecting skin cancer early and accurately is crucial for successfully treating this potentially fatal disease. Enhancing the accuracy of visual inspection techniques is often necessary to improve clinical decision-making and increase the chance of successful treatment outcomes. In this research, high-performance deep learning (DL) models for automated skin cancer categorization and early skin cancer diagnosis screening are developed and evaluated in conjunction with the discrete cosine transform (DCT). For this purpose, features are extracted from medical images using both techniques. The DCT is used for feature extraction and dimensionality reduction, while deep learning (DL) trains fully connected models for classification …

Dynamate: Leveraging Ai-Agents For Customized Research Workflows, Orlando A. Mendible-Barreto, Misael Díaz-Maldonado, Fernando J. Carmona Esteva, J. Emmanuel Torres, Ubaldo M. Córdova-Figueroa, Yamil J. Colón

Computer and Data Science Faculty Publications

No abstract provided.

Conformational Change In A Four-Tetrad Dna G-Quadruplex Upon Intercalation Of A Small-Molecule Ligand Pydh2, Kailey N. Martin, Gwendolyn Lam , '24, O. Reznichenko, K. E. Brunner, M. J. Zdilla, Sawyer E. Mccarthy, Liliya A. Yatsunyk

Chemistry & Biochemistry Faculty Works

G-quadruplexes (G4s) are non-canonical DNA structures implicated in a number of biological processes. Small-molecule ligands can alter stability and folding of G4s, which can potentially be exploited for therapeutic purposes. In this work, we investigate the interaction of telomeric DNA fragment from Tetrahymena thermophila (TET25, 5′-G(TTGGGG)₄-3′) with a G4 ligand PyDH2 belonging to the bisquinolinium family. When alone, TET25 adopts a mixture of three conformations, with the most abundant being a four-tetrad hybrid G4. In the presence of PyDH2, surprisingly, TET25 folds into an antiparallel chair G4, with PyDH2 intercalated between G-tetrads 2 and 3, according to our crystal structure. …

Integrative Computational Modeling Of Distinct Binding Mechanisms For Broadly Neutralizing Antibodies Targeting Sars-Cov-2 Spike Omicron Variants: Balance Of Evolutionary And Dynamic Adaptability In Shaping Molecular Determinants Of Immune Escape, Mohammed Alshahrani, Vedant Parikh, Brandon Foley, Gennady M. Verkhivker

Mathematics, Physics, and Computer Science Faculty Articles and Research

In this study, we conducted a comprehensive analysis of the interactions between the receptor-binding domain (RBD) of the SARS-CoV-2 spike protein and four neutralizing antibodies—S309, S304, CYFN1006, and VIR-7229. Using integrative computational modeling that combined all-atom molecular dynamics (MD) simulations, mutational scanning, and MM-GBSA binding free energy calculations, we elucidated the structural, energetic, and dynamic determinants of antibody binding. Our findings reveal distinct dynamic binding mechanisms and evolutionary adaptation driving the broad neutralization effect of these antibodies. We show that S309 targets conserved residues near the ACE2 interface, leveraging synergistic van der Waals and electrostatic interactions, while S304 focuses on …

A Data-Driven Approach To Smart Shopping: Optimizing Grocery Trips Using Geolocation And Store Inventory Data, Kien T. Giang

Honors Theses

This project presents a data-driven web-based application, Smart Shopping, designed to help customers optimize their grocery purchases based on location and store inventory information. The application allows users to add items to a shopping list and either enter an address or use their browser’s location services to identify nearby stores. It then retrieves product availability and prices from a mock database representing stores at user’s selected locations. The program compares prices across stores to provide users with two optimized options: the cheapest shopping bill from a single store, and the lowest individual item prices across multiple stores. Additionally, the …

Selected Artificial Intelligence Provisions In U.S. Fiscal Year 2025 National Defense Authorization Act, Bert Chapman

Libraries Faculty and Staff Presentations

The 2025 Fiscal Year National Defense Authorization Act contains multiple provisions relating to artificial intelligence (AI). These congressionally mandated provisions direct various sections of the Department of Defense (DOD) and individual U.S. armed service branches to execute congressional intent for AI policymaking. Examples of such intent include identifying and planning DOD's AI workforce, demonstrating AI biotechnology applications for national security, improving the human usability of AI systems, and establishing an AI security center. This presentation will note that reports on these initiatives must be prepared for relevant congressional oversight committees, and, in many cases, are in many cases, publicly released …

A Resource-Based Perspective Of Stem Career Development: A Latent Class Analysis, Erika Ann Schemmel

Dissertations and Theses

Through technological developments and the growing concerns around climate change, the need and demand for electric vehicles has been steadily increasing. A trained and qualified STEM workforce is required to meet these demands, yet standard STEM education may not be sufficient. The STEM development program centered in the present study is a collegiate workforce development program that provides North American students with training and hands-on experience in the engineering of electric vehicles. Drawing from central principles of COR theory, the present study explores the experiences of students within the program utilizing a resource-based perspective and a mixed-methods approach. First, the …

The Role Of Cultural Mathematical Caring Relations In Supporting Two Latina Undergraduates’ Rate Of Change Development Within A Constructivist Teaching Experiment: An Anti-Deficit Investigation Bridging Sensemaking And Cultural Experiences, Christopher Orlando Roman

Dissertations and Theses

This study introduces cultural mathematical caring relations (CMCRs) as a framework that extends Hackenberg's mathematical caring relations by integrating two tenets of culturally relevant pedagogy: academic achievement and cultural competence. Framed within radical constructivism, CMCRs prioritize students' cognitive growth and development while affirming their cultural and experiential identities by embedding their funds of knowledge into the learning process. Through a constructivist teaching experiment with two Latina students, Yari and Jocelyn, this research investigates how working to establish and maintain CMCRs can influence Latin* students' rate of change development.

Findings illustrate that CMCRs supported the development of Yari and Jocelyn's rate …

A Cross-Sectional Study Of The Role Of Epithelial Cell Injury In Kidney Transplant Outcomes, Philip F. Halloran, Tarek Alhamad, Et Al.

2020-Current year OA Pubs

BACKGROUND: Expression of acute kidney injury-associated (AKI-associated) transcripts in kidney transplants may reflect recent injury and accumulation of epithelial cells in "failed repair" states. We hypothesized that the phenomenon of failed repair could be associated with deterioration and failure in kidney transplants.

METHODS: We defined injury-induced transcriptome states in 4,502 kidney transplant biopsies injury-induced gene sets and classifiers previously developed in transplants.

RESULTS: In principal component analysis (PCA), PC1 correlated with both acute and chronic kidney injury and related inflammation and PC2 with time posttransplant. Positive PC3 was a dimension that correlated with epithelial remodeling pathways and anticorrelated with inflammation. …

Post-Recovery Viral Shedding Shapes Wastewater-Based Epidemiological Inferences, Tin Phan, Samantha Brozak, Bruce Pell, Stanca M Ciupe, Ruian Ke, Ruy M Ribeiro, Anna Gitter, Kristina D Mena, Alan S Perelson, Yang Kuang, Fuqing Wu

Faculty, Staff and Student Publications

Background: The prolonged viral shedding from the gastrointestinal tract is well documented for numerous pathogens, including SARS-CoV-2. However, the impact of prolonged viral shedding on epidemiological inferences using wastewater data is not yet fully understood.

Methods: To gain a better understanding of this phenomenon at the population level, we extended a wastewater-based modeling framework that integrates viral shedding dynamics, viral load data in wastewater, case report data, and an epidemic model.

Results: Our results indicate that as an outbreak progresses, the viral load from recovered individuals gradually becomes predominant, surpassing that from the infectious population. This phenomenon leads to a …

Teachers’ Perspectives On The Obstacles To Implementing Inquiry-Based Learning In Secondary Science Classrooms, Gabrielle Gonzales

Walden Dissertations and Doctoral Studies

The research problem for this study was that teachers are inconsistent in using inquiry-based instruction in secondary science classrooms. Guided by Vygotsky’s theory of constructivism, the purpose of this basic qualitative study was to explore teachers’ perspectives of the obstacles to implementing inquiry-based instruction in secondary science classrooms and what they believe will be needed to allow them to overcome these obstacles. Semistructured interviews were conducted with 10 certified, current Grade 8 to 12 teachers within the United States who had experience and familiarity with inquiry-based instruction. The data were analyzed through thematic analysis with open coding. The five themes …

School Principals’ Perceptions Of Hiring School Counselors, Wendy Carol Vaughn

Walden Dissertations and Doctoral Studies

School principals are the primary hiring authorities in U.S. K-12 public schools when employing school counselors. Despite the expansion and diversification of schools’ qualifications, characteristics, and roles, there is a gap in knowledge about principals’ hiring perspectives, priorities, and specific criteria. These elements provide vital information for school counseling educational programs and organizational advocacy for hiring school counselors based on current standards and qualifications. The purpose of this hermeneutic phenomenological study was to understand the perceptions of school principals regarding the hiring of school counselors. Targeting the research question “What are the perceptions of principals interviewing and hiring school counselors …

Commencement, Philadelphia (2025), Philadelphia College Of Osteopathic Medicine

Commencements

Philadelphia Campus Commencement Program, 2025. Degrees include Doctor of Osteopathic Medicine, Doctor of Philosophy in Educational Psychology, Doctor of Psychology in Clinical Psychology, Doctor of Psychology in School Psychology, Educational Specialist in School Psychology, Master of Science in Applied Behavioral Analysis, Master of Science in Applied Positive Psychology, Master of Science in Mental Health Counseling, Master of Science in Biomedical Sciences, Master of Science in Forensic Medicine, Master of Science in Health Sciences - Physician Assistant Studies.

Commencement Speaker: John J. Lynch III.

2025 May 22 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.

Does The Value Last? Exploring The Longitudinal Value Of A Research Experience For Preservice Science Teachers, Elizabeth A. Leong

Dissertations

Little attention has been given to the preparation of secondary preservice science teachers (PST) to meet the vision for science teaching and learning outlined in A Framework for K-12 Science Education. Existing literature suggests PSTs would benefit from authentic engagement in scientific research. But research experiences for preservice science teachers or preRETs are rare (Krim et al., 2019). This longitudinal qualitative case study explores the value retained one year after participation in a preRET, which engages PSTs in scientific research and education-focused professional learning. This study utilizes the preRET Value Creation Model (preRET VCM) (Authors, 2024), which overlays the Value-Creation …

Cost-Effective Solutions For High-Throughput Enzymatic Dna Methylation Sequencing, Amy Longtin, Marina M. Watowich, Baptiste Sadoughi, Rachel M. Petersen, Sarah F. Brosnan, Kenneth Buetow, Qiuyin Cai, Cayo Biobank Research Unit, Vanderbilt University, Michael D. Gurven, James P. Higham, Heather M. Highland, Yi-Ting Huang, Hillard Kaplan, Thomas S. Kraft, Yvonne A. L. Lim, Jirong Long, Amanda D. Melin, Michael J. Montagne, Jamie Roberson, Kee Seong Ng, Michael L. Platt, India A. Schneider-Crease, Jonathan Stieglitz, Benjamin C. Trumble, Vivek Venkataraman, Ian J. Wallace, Jie Wu, Noah Snyder-Mackler, Angela Jones, Alexander G. Bick, Amanda J. Lea

ESI Publications

Characterizing DNA methylation patterns is important for addressing key questions in evolutionary biology, development, geroscience, and medical genomics. While costs are decreasing, whole-genome DNA methylation profiling remains prohibitively expensive for most population-scale studies, creating a need for cost-effective, reduced representation approaches (i.e., assays that rely on microarrays, enzyme digests, or sequence capture to target a subset of the genome). Most common whole genome and reduced representation techniques rely on bisulfite conversion, which can damage DNA resulting in DNA loss and sequencing biases. Enzymatic methyl sequencing (EM-seq) was recently proposed to overcome these issues, but thorough benchmarking of EM-seq combined with …

Umn Morris Announces 2025 Student Award Winners, Communications And Marketing

Campus News Archive

No abstract provided.

The Application Of Syncopated Rhythms In The Development Of Sight-Reading Skills For Non-Keyboard Music Majors, Ronald David Rodriguez Herrera

LSU Doctoral Dissertations

This study investigates the impact of integrating syncopated rhythms into the group piano curriculum for undergraduate music students with varied levels of piano proficiency. Participants (N=76) enrolled in Group Piano II and IV were assigned control and experimental groups across multiple class sections. Three research questions guided the study: (1) How does the introduction of syncopated rhythm patterns affect group piano students’ sight-reading performance? (2) How does consistent practice of syncopated rhythms influence students' ability to sustain a steady pulse? (3) Do students consider exposure to syncopated rhythms a valuable component in their future careers as music educators …

Causation Analysis Of Crane-Related Accident Reports By Utilizing Chatgpt And Complex Networks, Yifan Wang, Junyu Chen, Bo Xiao, Shane T. Mueller, Jingjing Guo

Michigan Tech Publications

This study integrates ChatGPT and complex network (CN) techniques into an accident analysis framework designed to reduce manual effort in accident causation analysis. The proposed framework supports construction stakeholders in extracting causal factors (CFs) from accident reports and identifying both critical CFs and key causal paths. A multistep research design was adopted to develop and validate this novel framework for analyzing crane-related construction accident reports using ChatGPT and CN techniques. First, ChatGPT was prompted to extract CFs from a database of crane-related accident reports. Second, evaluation metrics and an expert questionnaire survey were developed to assess ChatGPT’s performance in CF …

Re: Comment Letter For Draft Final Butte Priority Soils Operable Unit (Bpsou) Unreclaimed Sites Ur-05 Remedial Action Work Plan (Rawp) (Dated March 14, 2025), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.