Digital Commons Network^™

Implementing Wordwall To Enhance The Effectiveness Of Formative Assessment In Pancasila Education: A Qualitative Study In An Eighth-Grade International Program, Widya Kumala, Nur Wahyu Rochmadi

Journal of Innovation and Teacher Professionalism

This study aims to develop a Wordwall-based formative assessment and to analyze its effectiveness in enhancing students’ learning motivation, activeness, and participation, as well as improving assessment time efficiency and media flexibility in Pancasila Education for class 8A ICP at SMP Laboratorium UM. The research employed a qualitative approach using descriptive methods to obtain an in-depth understanding of the implementation process and its educational impact. Data were collected through teaching modules, interviews, classroom observations, and documentation. The implementation of Wordwall as a formative assessment medium allowed students to engage more actively in learning activities through interactive and game-based evaluation formats. …

Challenging The Raid Boss: Antitrust In Esports, Mason Cole

Jeffrey S. Moorad Sports Law Journal (1994 - )

No abstract provided.

Effects Of A Group Contingency Arrangement Of Synchronous Reinforcement On Disruptive Behavior In Elementary Classes, Gabriela Gomes

LSU Master's Theses

Synchronous schedules of reinforcement are a type of schedule of covarion in which the onset and offset of the response are aligned with the onset and offset of the reinforcer. In this study, we used multiple baseline across classes and reversal designs to determine the effects of a synchronous reinforcement schedule, arranged as a group contingency, on disruptive classroom behavior and time spent following rules during independent work periods in three elementary classrooms: 2 first grade and 1 fourth grade. Additionally, we compared the effects of a synchronous reinforcement schedule with a continuous noncontingent schedule in the fourth-grade classroom. The …

The Effectiveness Of Problem-Based Learning In Object-Oriented Programming Instruction: A Classroom Action Research Study, Elva Hidayatul Haque, Slamet Wibawanto, Winda Sulistyana

Journal of Innovation and Teacher Professionalism

This study aims to examine the implementation of object-oriented programming (OOP) instruction using a Problem-Based Learning (PBL) approach to enhance students’ programming skills at SMKN 9 Malang. The research employed a Classroom Action Research (CAR) design conducted through three iterative cycles to systematically improve the learning process. The first cycle focused on the planning stage, in which learning objectives, instructional materials, and problem-oriented learning strategies aligned with OOP concepts were developed. The second cycle involved the implementation of the PBL approach, where students actively engaged in solving contextual programming problems requiring the application of object-oriented principles. During this stage, observations …

Brief Of Amicus Curiae Gregory Klass In Support Of Respondents In Veolia Water Technologies, Inc. V. Antero Treatment Llc, No. 2025sc21 (Colo. Jan. 20, 2026)., Gregory Klass

Georgetown Law Faculty Publications and Other Works

In September, 2025, the Colorado Supreme Court granted certiorari in Veolia Water Tech. v. Antero Treatment to resolve the following question: “Whether the economic loss rule bars a fraud claim when the parties were in a contractual relationship, the fraud claim seeks the same relief as the plaintiff’s contract claim, and the fraud concerns the defendant’s performance under the contract.”

This scholar’s amicus brief addresses four questions under Colorado law: (1) Does an exploratory contract to determine whether a transaction is desirable prevent liability in tort for fraud in the inducement of the principal contract? (2) What is the significance …

Ivan Pavlov’S Behaviorism Theory: Its Implementation In The Teaching And Learning Process, Rofiq Alfawwazy, Anggun Nurhidayah

Journal of Innovation and Teacher Professionalism

Ivan Pavlov’s behaviorism theory, which emphasizes the stimulus–response relationship through classical conditioning, holds a significant role in the field of education. This study examines the application of Pavlovian principles in learning through a literature review of five selected articles published between 2021 and 2025. The findings indicate that behaviorist strategies are effective in shaping students’ behavior, particularly in fostering discipline, responsibility, and task compliance, primarily through reinforcement methods such as praise, rewards, and social recognition. Nonetheless, the behaviorist approach also reveals several limitations, including rigid learning structures, diminished creativity, and overreliance on external stimuli. The implementation of behaviorist techniques differs …

The Effectiveness Of The Zig-Zag Method In Improving Dribbling Skills In High School Soccer Lessons, Muhammad Rais Hamdan, Fahrial Amiq

Journal of Innovation and Teacher Professionalism

This study aims to enhance football dribbling skills among class XI students at SMAN 2 Malang through the implementation of the zig-zag method. The research adopts a Classroom Action Research (CAR) design conducted in two cycles, each comprising four stages: planning, implementation, observation, and reflection. Data were collected through observation sheets, dribbling performance tests, and documentation to measure both skill improvement and learning engagement. The findings reveal a notable improvement in students’ dribbling ability after the intro-duction of the zig-zag method. During the first cycle, students demonstrated pro-gress in technique and coordination, although learning mastery had not yet achieved the …

Brief Of Amici Curiae The Notre Dame Law Education Project And Utah Education Fits All In Support Of Appellants, Tyler R. Green, Nicole Stelle Garnett

Court Briefs

No. 20250512-SC
Derek Brown, Attorney General v. Kevin Labresh

From the Argument

No one doubts the significant public interest in K-12 education. Brown v. Board of Education, 347 U.S. 483, 493 (1954) (“[E]ducation is perhaps the most important function of state and local governments.”). And, for centuries, the critical responsibility for educating young people has been borne in significant part by private schools. Indeed, for many decades, private schools were essentially the only source of childhood education in the United States. It is a role those schools served—and continue to serve—well. While in Utah, as elsewhere, public schools are …

Improving Solo Vocal Singing Technique Skills Through The Direct Instruction Model: A Classroom Action Research With Grade Ix Students, Rasyid Ahmad Sofi, E.W. Suprihatin Dyah Pratamawati, Tutut Pristati

Journal of Innovation and Teacher Professionalism

Solo vocal singing skills are included in Core Competency (KD) 4.1 of the junior high school Cultural Arts curriculum, which emphasizes the development of rhythmic and melodic ornamentation in solo vocal performances. This competency is implemented through solo vocal singing practice using improvisation techniques. However, preliminary observations in Class IX B of SMP Negeri 2 Bendungan revealed low learning outcomes, with an average score of 53, below the minimum mastery criterion (KKM) of 70. These low results were primarily caused by students’ limited mastery of solo vocal singing techniques, particularly vocal improvisation, as well as the continued use of conventional …

Dual-Task Effects On Spatiotemporal, Kinematic, And Kinetic Parameters And Their Variability During Running, Hsiang-Ling Teng, Jo Armour Smith, Will F.W. Wu

Physical Therapy Faculty Articles and Research

Background

Running in real-world environments often requires using cognitive resources simultaneously with the motor task (dual tasking, DT). Limited existing evidence suggests that DT reduces running speed. Movement variability is essential for a healthy, adaptable motor system. DT has been shown to affect movement variability during walking. Nonetheless, it remains unclear how DT affects spatiotemporal, kinematic, and kinetic parameters and their variability during running.

Research question

Does DT affect spatiotemporal, kinematic, and kinetic measures and their variability during running? Does running speed influence DT effects?

Methods

Thirty-one asymptomatic runners participated in this cross-sectional study. Three-dimensional running biomechanics were recorded while …

Chelsea Henkel V. Highgate Hotels Lp

2026 Decisions

USDC for the Middle District of Pennsylvania

Huber Camaja-Ceballos V. Attorney General United States Of America

2026 Decisions

Agency

Long-Term Mpox Sequelae 11 To 18 Months After Acute Illness : A Cohort Study In Two Us Cities, Preetam A Cholli, Jason Zucker, Karen J Vigil, Faisal S Minhaj, Paul J Weidle, Melanie M Taylor, Brett Gray, Dana L Haberling, Agha Ajmal, Agam K Rao, Anyelina Cantos, Sarah Anne J Guagliardo, Max Flanagan, Gilhen H Rodriguez, Irene Tamí-Maury, Siobhán M O'Connor

Faculty, Staff and Student Publications

Background: Little was known about persistent sequelae of mpox before the 2022 multinational clade II mpox virus outbreak.

Objective: To characterize post-mpox sequelae 11 to 18 months after acute mpox diagnosis and compare outbreak-associated psychosocial and behavioral impact between at-risk persons who had or did not have mpox.

Design: Cohort study.

Setting: New York City, New York, and Houston, Texas.

Participants: Adults attending HIV, pre-exposure prophylaxis, or sexually transmitted infection clinics diagnosed with mpox during May 2022 to January 2023 (post-mpox) or at risk for but never diagnosed with mpox (no-mpox).

Measurements: All participants completed psychosocial and behavioral self-assessments. A …

Prediction Of Structure And Function Of A Novel Β-Lactamase Protein In Gram-Negative Bacteria Using Homology Modeling And Molecular Docking, Ariyani Kiranasari, Surya Dwira, Engla Merizka

Indonesian Journal of Medical Chemistry and Bioinformatics

The emergence of β-lactamase–producing Gram-negative bacteria represents a major global challenge due to increasing resistance to β-lactam antibiotics. In this study, we performed in silico structural and functional prediction of a newly identified β-lactamase protein sequence obtained from a Gram-negative bacterial isolate. Homology modeling was used to construct a reliable 3D model of the protein based on structurally resolved β-lactamases. The model was further evaluated using stereochemical validation parameters. Molecular docking was conducted to assess binding affinity and interaction patterns between the predicted β-lactamase and clinically relevant β-lactam antibiotics, including ampicillin, cefotaxime, and imipenem. The results revealed conserved catalytic residues …

Frontiers In Ocean Non-Equilibrium Dynamics And Challenges In Operational Oceanography Application, Yuhong Zhang, Yan Du, Tianyu Wang, Minyang Wang, Qin Duan, Xinlong Li, Yuhang Zheng, Yifan Xia, Shilin Tang, Yineng Li, Jianping Yin

Bulletin of Chinese Academy of Sciences (Chinese Version)

Ocean circulation exhibits complex multiscale dynamics, among which non-equilibrium processes, marked by transient behavior, strong perturbations, and pronounced nonlinearity, are of particular importance for maritime environmental support. However, limited observational capability has long constrained the study of subsurface non-equilibrium dynamics, leaving numerical models insufficiently validated and positioning this issue at the forefront of modern physical oceanography. Artificial intelligence (AI) offers a promising pathway to overcome this bottleneck. Built on this concept, the “iEddy” AI large ocean model can efficiently reconstruct high-resolution, high-accuracy three-dimensional temperature, salinity, and velocity from sea-surface remote sensing data, demonstrating strong capability in capturing non-equilibrium ocean currents …

Satellite-Derived Bathymetry In Island Coastal Zones: Technology, Shilin Tang, Yuye Huang, Yongming Liu, Jianping Yin, Deke Chen, Ronggang Huang, Shuang Li

Bulletin of Chinese Academy of Sciences (Chinese Version)

Shallow bathymetry data constitute the core foundational information underpinning the ecological, resource, and strategic values of island and coastal zones. Satellite-derived bathymetry has evolved into a key technical means for large-scale acquisition of shallow bathymetry information. Focusing on satellite-based lidar bathymetry, optical imaging bathymetry, and synthetic aperture radar (SAR) bathymetry, this study systematically summarizes the core principles, applicable scenarios, technical strengths, and inherent limitations of each technology. It is shown that satellite-derived bathymetry has undergone an evolutionary shift from theoretical construction to practical application, and from single-method, single-data-source approaches to multi-technology, multi-source data fusion frameworks. In the future, to meet …

Facpaac Minutes 01/20/2026, Faculty And P&A Affairs Committee

Faculty and P&A Affairs Committee

No abstract provided.

Manta Munchies: Plankton Dynamics And Feeding Behaviour Of Reef Manta Rays (Mobula Alfredi) Around D'Arros Island In The Seychelles, Dillys K Pouponeau, Joanna Harris, Henriette M.V Grimmel, Ellie E Moulinié, Robert W Bullock

School of Biological and Marine Sciences

The reef manta ray (Mobula alfredi) is a threatened filter-feeding elasmobranchthat requires immediate management and protection across large parts of itsrange. Despite being well-studied, a detailed understanding of their feedingecology, which shapes their residency, movement patterns, and behaviour,remains underexplored. Both global and site-specific research is required to fillsignificant knowledge gaps essential for designing effective conservationstrategies for this species and their habitats. This study investigated M. alfredifeeding behaviour in relation to plankton biomass dynamics at D’Arros Island inthe Seychelles, the largest known M. alfredi aggregation site in the country and agazetted marine protected area. Plankton samples were collected, along withcorresponding environmental …

Genomics Define Malignant Transformation In Myeloma Precursor Conditions, Francesco Maura, P Leif Bergsagel, Bachisio Ziccheddu, Shaji Kumar, Kylee Maclachlan, Andriy Derkach, Juan-Jose Garces, Ross Firestone, Esteban Braggio, Yan Asmann, Michael Durante, Benjamin T Diamond, Marios Papadimitriou, Malin Hultcrantz, Alessio Marella, Giancarlo Castellano, Akihiro Maeda, Marta Lionetti, Antonio Matera, Stefania Pioggia, Matteo Claudio Da Vià, Claudio De Magistris, Daniel Leongamornlert, Danny Deavila, Praneeth Reddy Sudalagunta, Rafael Renatino Canevarolo, Erin M Siegel, Phaedra Agius, Jamie Teer, Andrew Mcpherson, Yusuke Yamashita, Ariosto S Silva, Patrick Blaney, Rachid Baz, Krina K Patel, Peter Campbell, Gareth Morgan, Rafael Fonseca, Ola Landgren, Robert Z Orlowski, Kenneth H Shain, Niccolo Bolli, Saad Usmani, S Vincent Rajkumar

Faculty, Staff and Student Publications

Multiple myeloma (MM) is consistently preceded by monoclonal gammopathy of undetermined significance (MGUS) and smoldering multiple myeloma (SMM). While these precursor conditions are asymptomatic, they are not entirely benign and carry a lifelong risk of progression to MM. Unlike other cancers defined by pathology, malignant transformation from MGUS or SMM to MM has so far relied on demonstration of clinical end-organ damage as morphology and cytogenetics cannot reliably distinguish them. In this study, using genomic data from 374 patients with MGUS or SMM (277 training, 97 validation), to our knowledge, we demonstrate for the first time the ability to identify …

Simulated Complex Cells Contribute To Object Recognition Through Representational Untangling, Mitchell B Slapik, Harel Z Shouval

Faculty, Staff and Student Publications

The visual system performs a remarkable feat: it takes complex retinal activation patterns and decodes them for object recognition. This operation, termed "representational untangling," organizes neural representations by clustering similar objects together while separating different categories of objects. While representational untangling is usually associated with higher-order visual areas like the inferior temporal cortex, it remains unclear how the early visual system contributes to this process-whether through highly selective neurons or high-dimensional population codes. This article investigates how a computational model of early vision contributes to representational untangling. Using a computational visual hierarchy and two different data sets consisting of numerals …

The Use Of Artificial Intelligence In Decreasing Vaccine Skepticism And Hesitancy, Nathaniel Wolf, Nhan Nguyen, Rojelio Mejia

Faculty, Staff and Students Publications

Purpose of review: Recent advances in artificial intelligence (AI) coincide with decreases in confidence in vaccines. This review examines studies that analyze and mitigate vaccine skepticism by implementing artificial intelligence strategies in various ways.

Recent findings: Studies have explored public attitudes towards vaccines using AI to analyze language in social media postings and interactions, scrutinize AI responses to vaccine-related queries, and attempt to use AI to directly influence vaccine hesitancy. Findings show that AI can be effective in addressing vaccine hesitancy in various ways, including, but not limited to, directly interacting with vaccine-hesitant groups, identifying reasons for vaccine hesitancy, and …

B Lymphocytes Impede Tregs To Erode Islet Tolerance In Type 1 Diabetes, Christopher S Wilson, Blair T Stocks, Alexander C Falk, Daniel J Moore

Faculty, Staff and Students Publications

B lymphocytes are thought to drive β-cell destruction in type 1 diabetes (T1D) by activating anti-islet T cells. However, the observation that autoreactive T-cell activation and disease progression can occur without B cells challenges this view. Still, preclinical and clinical studies have shown that B-cell depletion alleviates β-cell destruction, suggesting a critical role for B cells in T1D. Our findings propose an alternative function for B cells, impairing regulatory T cells (Tregs) that would otherwise protect islets. In the NOD islet transplant model, we show that B-cell absence enables transplant tolerance, allowing Tregs to become responsive to immune therapy and …

Cognitive Dysfunction In Women With The Fmr1 Premutation During Midlife: The Lassi-L Reveals Curvilinear Cgg-Dependent Risk Buffered By College Education, Jessica Klusek, Jillian Gierman, Amanda Fairchild, Andreana M. Benitez, Elizabeth Berry-Kravis, Marsha R. Mailick

Faculty Publications

Background

The FMR1premutation (FXPM) is a common genetic variant (∼1:151 females) linked to increased risk for neurodegenerative disease. Midlife cognitive phenotypes remain poorly defined.

Objective

To characterize episodic memory performance in midlife FXPM women and examine potential risk moderation via genetic (i.e., FMR1CGG repeat expansion size) and environmental (i.e., college degree attainment) influences.

Methods

Eighty-eight FXPM women and 84 matched controls, aged 30–55, completed the Loewenstein-Acevedo Scales for Semantic Interference and Learning (LASSI-L), a measure of specific episodic memory processes sensitive to subtle Alzheimer's disease (AD)-related cognitive and neuropathological changes.

Results

FXPM women demonstrated deficits in proactive semantic …

Hybridsense-Llm: A Structured Multimodal Framework For Large-Language-Model–Based Wellness Prediction From Wearable Sensors With Contextual Self-Reports, Cheng Huan Yu, Mohammad Masum

Faculty Research, Scholarly, and Creative Activity

Wearable sensors generate continuous physiological and behavioral data at a population scale, yet wellness prediction remains limited by noisy measurements, irregular sampling, and subjective outcomes. We introduce HybridSense, a unified framework that integrates raw wearable signals and their statistical descriptors with large language model–based reasoning to produce accurate and interpretable estimates of stress, fatigue, readiness, and sleep quality. Using the PMData dataset, minute-level heart rate and activity logs are transformed into daily statistical features, whose relevance is ranked using a Random Forest model. These features, together with short waveform segments, are embedded into structured prompts and evaluated across seven prompting …

Biopcm-Integrated Smart Façade For Hospitals: Thermal Performance Across Floor Levels In A Hot-Arid Climate, Aia A. Qindil, Esraa Elazab, Mohamed M. Shawky Abou Liela

Mansoura Engineering Journal

Hospitals are among the most energy-intensive building types because they operate around the clock and must maintain strict indoor environmental conditions, especially in hot-arid climates. Improving their performance calls for façade solutions that can store thermal energy effectively and help cut carbon emissions. This study evaluates the use of macro-encapsulated BioPCM® within the south façade of a high-rise hospital in Mansoura, Egypt, using dynamic simulations in DesignBuilder (EnergyPlus). The analysis focuses on two vertical levels, the third floor as a typical ward and the seventh floor as a rooftop ward, to investigate how elevation influences PCM performance, an aspect rarely …

Credit Card Fraud Detection Using Metaheuristic Techniques, Narges Sabry Anwer Mohammed, Mohammed Sabry Saraya, Amr M. Thabet, Labib M. Labib

Mansoura Engineering Journal

Credit Card Fraud Detection (CCFD) has become a critical challenge to financial security due to increasingly sophisticated fraudulent activities. This study investigates the effectiveness of Meta-Heuristic (MHT) optimization techniques in improving fraud detection (FD) through feature selection (FS) and model optimization. To address class imbalance, Random Under-Sampling (RUS) was applied. The selected feature subsets were evaluated using three machine learning (ML) classifiers—Decision Tree (DT), KNearest Neighbours (KNN), and XGBoost (Xgb-Tree)—across four benchmark datasets: European, Statlog (Australian Credit Approval), PaySim, and Credit Card Transactions Fraud Detection (CCTFD). Eleven binary MHT algorithms were implemented and compared. The comparative analysis shows that the …

Theoretical And Empirical Analysis Of The New Payroll Tax Scheme: Improving Efficiency And Compliance In Indonesia, Mainita Hidayati, Fitria Arianty

Jurnal Vokasi Indonesia

The potential for tax revenue from Payroll Tax in Indonesia can still be optimized. In December 2023, the government issued Presidential Regulation Number 55 of 2023 and Minister of Finance Regulation Number 168 of 2023 to alter the payroll tax scheme and simplify the calculation procedures of Income Tax Article 21. Additionally, Director General of Taxes Regulation Number PER-2/PJ/2024 was issued to regulate changes in creating withholding evidence and reporting the periodic Income Tax Article 21/26 return. This paper aims to analyze the impact of the new payroll tax scheme on the tax burden for taxpayers, the new reporting scheme's …

Tolkien And The Mystery Of Literary Creation (2025), By Giuseppe Pezzini, Mitchell Kooh

Journal of Tolkien Research

Book review, by Mitchell Kooh, of Tolkien and the Mystery of Literary Creation (2025) by Giuseppe Pezzini

Doctoral Students’ Perceived Academic Research Reading Ability: A Mixed-Methods Study, Ryan Glaman

International Journal of Teaching and Learning in Higher Education

Empirical research is useful for informing educational policy and practice. However, doctoral students often struggle with reading and evaluating empirical research papers. The present study examined doctoral students’ perceptions of their ability to read and evaluate empirical research articles, both before and after an educational research methods course, as well as which course components students perceived as most impacting their ability to read and evaluate research articles. The study used a convergent mixed methods design, involving pre- and post-course survey data. Results indicated students felt they improved in their experience levels, comfort levels, interpretation ability, and evaluation ability regarding reading …

Consumer Protection Through The Cooling-Off Period, Jamal Rbii

Revue Marocaine de Droit, d'Economie et de Gestion (Moroccan Journal of Law, Economics and Management)

This paper examines the cooling-off period as a legal mechanism that gives consumers time to reconsider commitments made under pressure or imperfect information. It analyzes its legal foundations, scope and limits, and its role in preventing abusive practices.