Digital Commons Network^™

Effectiveness Of Special Compound Exercises In Developing Speed-Strength And Explosive Power In The Long Jump Among The Students, Amjad H. Mohammed

Modern Sport

This research aims to determine the effectiveness of compound exercises in developing explosive power and force speed in the long jump among students. The research problem lies in the limited use of compound exercises that develop explosive power and force speed during training. The researcher used an experimental design with two groups (experimental and control). The sample included 24 students from Najaf Preparatory School for Mathematical Sciences, who were randomly divided into two groups (experimental and control). Each group consisted of 12 students, representing 49% of the research population. The experimental group underwent compound exercises, which were conducted over eight …

Bridging The Gap: A Mixed-Methods Study Exploring The Relationships Between Student-Teacher Demographic Mismatch And Students’ Perceptions Of Fairness, Inclusion, And Achievement, Nicholas Nahrwold

Theses and Dissertations

This study examines the relationships between student-teacher demographic mismatch and students’ perceptions of fairness, inclusion, and achievement. The purpose of this research was to determine how race, gender, and SES mismatch between students and teachers is related to their feelings of belonging and academic outcomes. A mixed-methods study was conducted involving a combination of survey data, student performance records, and student interviews. Results from the study indicated a relationship between student-teacher gender match and GPA, student-teacher racial match and GPA, and student-teacher racial match and attendance outcomes. Although not statistically significant, the data collected also highlighted trends between student-teacher SES …

Edga-Based Directed Educational Units And Their Effect On Visual Memory And Some Basketball Skills Among Female Students, Hanaa Abbas Abdullah

Modern Sport

This study aimed to design teaching units based on the EDGA model and examine their effect on visual memory and selected basketball skills (high dribbling, low dribbling, chest pass, rebound, and ladder shooting) among first-level female students at the College of Physical Education and Sport Sciences, University of Baghdad. An experimental design with two equivalent groups and pre- and post-tests was used. The research population consisted of 26 first-year female students (2025–2026). Twenty-four students (92.31%) were selected as the research sample after excluding two students. The participants were randomly assigned into an experimental group (n = 12), which studied using …

Optimal Error Estimates Of The Diffuse Domain Method For Second Order Parabolic Equations, Wenrui Hao, Lili Ju, Yuejin Xu

Faculty Publications

In this paper, we study the convergence behavior of the diffuse domain method (DDM) for solving a class of second-order parabolic partial differential equations with Neumann boundary condition posed on general irregular domains. The DDM employs a phase-field function to extend the original parabolic problem to a similar but slightly modified problem defined over a larger rectangular domain that contains the target physical domain. Based on the weighted Sobolev spaces, we rigorously establish the convergence of the diffuse domain solution to the original solution as the interface thickness parameter goes to zero, together with the corresponding optimal error estimates under …

Exploring The Strategies Used By Caribbean Business Leaders To Adopt Artificial Intelligence To Improve Business Performance And Decision-Making, Hazarie Ramoutar

Walden Dissertations and Doctoral Studies

A lack of effective strategies for adopting generative artificial intelligence (GenAI) limits business leaders in the Caribbean’s ability to enhance business performance and decision-making. Business executives, shareholders, employees, and policymakers are vested in the success of Caribbean businesses to remain competitive and become more efficient. Grounded in the technology acceptance model (TAM), the purpose of this qualitative, pragmatic inquiry project was to identify and explore the strategies Caribbean business leaders use to successfully adopt GenAI, thereby enhancing business performance and decision-making. The participants were seven business leaders from for-profit organizations in the English-speaking Caribbean. Data were collected using semistructured interview-based …

Evaluation Of Transportation Policy Effectiveness In The United States: Case Of Personal Electric Vehicles And Commercial Electronic Logging Devices, Hania Afzal

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Together, electric vehicle (EV) adoption and the electronic logging device (ELD) mandate illustrate two dimensions of transportation technology policy: the first driven largely by environmental and market-based incentives and the second by safety regulation and compliance requirements. Examining these cases side by side for the United States allows for a more comprehensive analysis of how technology adoption unfolds under different policy regimes, offering insights into the broader relationship between policy design, industry response, and public outcomes. The commercial motor vehicle (CMV) sector presents a different but equally important policy challenge in transportation technology adoption. Unlike consumer passenger vehicles, CMVs are …

Development Of Deep Fused Neural Architecture For Ancient Tamil Palm-Leaf Manuscript Recognition, Hariharan P Mr

Theses and Dissertations

Digitizing Tamil palm-leaf manuscripts is important for education, communication, and the preservation of cultural heritage. The complex structure of the Tamil script, the wide range of handwriting styles, and the degradation seen in ancient Tamil palm-leaf manuscripts make these texts very difficult to read and understand. Digital Image Processing (DIP), document analysis techniques, and traditional Optical Character Recognition (OCR) are unable to handle noise, background interference, faded ink, and limited labelled data, motivating the need for robust, effective Deep Learning (DL)- based solutions.

As a prerequisite to understanding and designing effective recognition systems for ancient manuscripts, this thesis first examines …

Indeterminacy And The Political Economy: Cls, Legal Politics, And Defetishizing The Lpe Debate, Akbar Rasulov

Law and Contemporary Problems

No abstract provided.

Falling Flat: Why Ai Cannot Free Melodies From Copyright Protection With “All The Music” As An Example, Hayley Huber

Duke Law & Technology Review

As artificial intelligence (AI) continues to surprise us with its humanlike abilities, it raises the question of whether AI-created music can or should be afforded legal protection. Particularly, how should copyright law treat melodies produced by an AI designed to algorithmically generate every possible melody? This article seeks to answer that question, ultimately concluding that AI-produced melodies are not copyrightable and that melodies are not merely facts undeserving of copyright protection, but something valuable to mankind and worth protecting by law.

The article explores Damien Riehl’s All the Music project (ATM) and his arguments for why ATM’s outputs should be …

Perspectives Of Elementary Teachers On The Challenges Of Implementing Reading Technology, Hajirah Abdullah

Walden Dissertations and Doctoral Studies

Reading skills in elementary school students continue to decline despite the efforts of teachers and lawmakers. The problem addressed through this study was that although teachers at ABC Elementary School (pseudonym) had access to 30 different software/apps for technology literacy programs that could help improve student achievement on state assessments, district data showed that very few teachers were using the technology with students. The purpose of this qualitative project study was to explore the perspectives of elementary teachers on the challenges of implementing reading technology and ways to better support its use in classroom instruction at ABC Elementary School. The …

The Blurred Boundaries Of Care: A Qualitative Analysis Of Nurse-Doula Role Conflict, Curisa Mae Tucker Phd, Rn, Maria Mcclam, Kelly Russin Dnp, Rnc-Ob, Chse, Nansi Boghossian, Rachel Gulczinski, Lauren Workman

Faculty Publications

Introduction:

Methods:

Energy Storage From A Wind, Tidal, And Wave Farm Via Hydrogen, Jessica Guichard, Deborah Greaves, Robert Rawlinson-Smith, Danny Coles

School of Engineering, Computing and Mathematics

As renewable energy penetration increases, energy storage becomes essential. Hydrogen offers a viable option for seasonal storage, with reversible solid oxide cells enabling both hydrogen production via electrolysis and electricity generation from stored hydrogen in fuel cell mode. We investigate a cost-optimized, self-sufficient island grid near Ramsey Sound and the Celtic Sea—conceptualized as a localized grid without external power exchange. The grid aims to meet an annual energy demand (AED) of 807 GWh, equivalent to the annual energy production (AEP) of tidal energy in Ramsey Sound, using electricity from offshore renewable energy (ORE) farms and stored hydrogen. A model using …

Enhancing Introductory Cybersecurity Learning: A Design-Based Research Case Study, Manny Niri Dr.

Journal of Cybersecurity Education, Research and Practice

This study employs a design-based research (DBR) framework to examine the impact of a comprehensive curriculum redesign in an introductory Foundations of Security module for undergraduate students in computing and cybersecurity at a UK public university between 2019 and 2025. The redesign aimed to enhance student learning, engagement, and critical thinking through the embodiment of evidence-based pedagogical strategies, including flipped classroom delivery, blended learning, gamified practical exercises, repeated low-stakes mock assessments, and structured problem-solving activities. Student feedback, assessment outcomes, attendance records, and faculty reflections were analysed to evaluate the effectiveness of the redesign. The results indicate substantial improvements in student …

Recovery Of Bioenergy From Industrial Wastewater Using Microbial Fuel Cell, Syed Wamiq Ali, Ghulam Mujtaba, Manzoor Ahmed Sanjrani, Falak Shad

Journal of Bioresource Management

Water problems and Energy demands are increasing particularly in developing countries. Researchers are looking for sustainable technologies that can address increasing energy and environmental concerns. Major reasons behind those emerging concerns are industrialization and rapid development. There is need of sustainable technology which can solve wastewater issues and fulfill energy demand. One of the emerging technologies that have been studied comprehensively is Microbial Fuel Cell (MFC). It is a bio-electrochemical conversion technology that converts organic substrate into electrical energy. Chemical Oxygen Demand (COD) is removed as a result of microbial metabolism of organic substrate. Even through technical and economic aspects …

The Rider (2026-03-30), Daniela Chapa-Reyes

The Rider Archives

Vol. 11, No. 24

Morphological Characteristics Of The Mediophyceae Diatom Lampriscus Cf. Shadboltianus Var. Crenulatus Collected From Gili Meno, Indonesia, Arief Rachman, Riani Widiarti, Setiarti Sukotjo, Mark Wells

Makara Journal of Science

Diatoms are the most common and abundant microalgae group in seawater, with an estimated 200 genera and 200,000 species categorized into three distinct taxonomic classes: Mediophyceae, Bacillariophyceae, and Coscinodiscophyceae. This study describes the morphological characteristics of Lampriscus GM052022, a diatom belonging to the Mediophyceae family, which was collected from Gili Matra, Lombok, Indonesia. Analysis using light microscopy (LM) and electron microscopy (EM) showed that the morphological characteristics of the Lampriscus GM052022 specimen are similar to those of Lampriscus shadboltianus var. crenulatus due to the distinct crenulation lines on the frustule, which differentiate this variation from Lampriscus shadboltianus. However, the …

Multiplex Functional Assessment Of Variant Effect In The Retinal Transcription Factor Crx, James Lewis Shepherdson

Arts & Sciences Graduate Student Theses and Dissertations

The transcription factor Cone-Rod Homeobox (CRX) is a master regulator of photoreceptor cell fate. Sequence variants in CRX can cause Retinitis Pigmentosa, Cone-Rod Dystrophy, and Leber Congenital Amaurosis, all inherited causes of vision loss and blindness. CRX is the only gene implicated in the pathogenesis of all three of these diseases, which present with both rod- and cone-centric phenotypes of varying age of onset and severity. Several CRX variants have been reported to cause severe dominant disease through antimorphic genetic interactions with wild-type CRX, and yet these mutations are adjacent to variants which are benign or only cause mild, recessive …

Patterns Of Multimorbidity Among Low-Income Adults Who Smoke With Implications For Tailored Interventions: A Cluster Analysis Using A Mixture Of Bernoulli Model, Monique T. Cano, Michael R. Lindstrom, Oscar F. Rojas Perez, Ricardo F. Muñoz

School of Mathematical & Statistical Sciences Faculty Publications

Introduction: Smoking cigarettes remains a leading modifiable risk factor for preventable health conditions. In the United States, the health burden of smoking disproportionately impacts low-income individuals. Multimorbidity is common in this group, complicating treatment and worsening outcomes. Identifying multimorbidity clusters can support targeted, individualized interventions. This study aimed to identify multimorbidity clusters among individuals who smoke and experience economic hardship and provide clinical recommendations to enhance health outcomes.

Method: Individuals who smoke and experience economic hardship (N = 60) were recruited from the San Francisco Health Network (SFHN) and were assessed for physical and mental conditions. Cluster analysis was …

Design And In Silico Modeling Of Heterocyclic-Based Xanthone Derivatives As Potential Anticancer Agents Through Tyrosine Kinase Inhibition, Yehezkiel Steven Kurniawan, Ervan Yudha, Nela Fatmasari, Radite Yogaswara, Harno Dwi Pranowo, Eti Nurwening Sholikhah, Jumina Jumina

Makara Journal of Science

Cancer is one of the deadliest diseases nowadays, and tyrosine kinase receptors play crucial roles in cancer cell survival, differentiation, proliferation, and migration. This study designed and developed a new inhibitor from heterocyclic-based xanthone derivatives to target two tyrosine kinase receptors, epidermal growth factor receptor (EGFR) and platelet-derived growth factor receptor (PDGFR), through in silico screening. Eighteen heterocyclic-based xanthones were evaluated through molecular docking for both receptors. All heterocyclic-based xanthones gave the root mean square deviation (RMSD) value lower than 2.00 Å. Xanthone with isobenzothiazole substituent (iBzThio) was found as the most potent inhibitor with binding energies of -10.60 and …

Anthrone-Based Dummy Molecularly Imprinted Polymer For The Selective Detection Of Fluorene And Phenanthrene In Simulated River Water, Aria Pinandita, Nurrahmi Handayani, Muhammad Iqbal, Untung Triadhi, Rusnadi Rusnadi, Samitha Dewi Djajanti, Muhammad Bachri Amran, Muhammad Ali Zulfikar

Makara Journal of Science

A dummy-template molecularly imprinted polymer (DMIP) was synthesized via precipitation polymerization using anthrone as a template analog for the selective analysis of low-molecular-weight polycyclic aromatic hydrocarbons (PAHs), specifically fluorene and phenanthrene. Styrene, benzoyl peroxide, and ethylene glycol dimethacrylate were employed as the functional monomer, radical initiator, and crosslinking agent, respectively. The synthesized polymers were characterized by Fourier-transform infrared spectroscopy, scanning electron microscopy, and particle size analysis. The imprinting factors were 1.16 and 1.09 for fluorene and phenanthrene, respectively, indicating enhanced affinity of the imprinted sites. High-performance liquid chromatography analysis following DMIP-based solid-phase extraction yielded recoveries of 91.49% ± 3.87% for …

Strong Gravitational Lensing Of Balart-Vagenas Regular Black Holes, Akif Pervez, Hassan Moin Ud Din, Handika Satrio Ramdhan

Makara Journal of Science

Gravitational lensing is an integral part of Einstein general theory of relativity. The existence of singularity in standard black holes is a hurdle for understanding the properties of black holes. The introduction of nonlinear electrodynamics (NLED) offers an intriguing possibility of constructing non-singular black hole. Gravitational lensing by the photon sphere probes the physical properties of lens objects such as black holes. This work presents a strong deflection limit analysis in a general asymptotically flat, stationary, spherically symmetric spacetime. We extend the analysis of the light deflection around the photon sphere-complete capture, and set a strong field limit that is …

A Ferrocene-Modified Carbon Electrode Prepared From Coconut Shell Char For Cu(Ii) Detection In Water, Nabila Putri Aulia, Fitria Rahmawati, Abu Masykur, Eddy Heraldy

Makara Journal of Science

A ferrocene (Fc)-modified carbon electrode was prepared from coconut shell char (CSC), which was activated with NaOH to produce an activated coconut shell carbon (Ac-CSC). The carbon electrode was designed as a printed-carbon electrode consisting of working, counter and reference electrodes in a single piece, called a screen-printed carbon electrode, or SPCE. An Fc solution was applied to the working electrode part at 10%, 20% and 30% mass of the SPCE, producing an SPCE-Fc as an electrochemical sensor for Copper ions Cu(II) detection. The prepared activated carbon was analysed by XRD, FTIR, SEM/EDX, surface area analysis and impedance measurement to …

Liparis Condylobulbon Reichb. F. From Gumitir, Indonesia: Morphology, Molecular, And Phytochemical Profile, Fuad Bahrul Ulum, Asyifa Yasmin Arum, Kurnia Sa’Adah, Dwi Setyati, Edia Fitria Dwinianti, Ranjithkumar Rajamani, Ari Satia Nugraha, Mukhamad Su’Udi

Makara Journal of Science

Liparis condylobulbon Rchb.f. is an epiphytic orchid across South and Southeast Asia, which holds notable ethnomedicinal and pharmacological significance. This study aims to characterize Indonesian Liparis condylobulbon using integrated morphological, molecular (matK, rbcL, ITS2), and phytochemical (LC-MS, DPPH) analyses of specimens from Mount Gumitir, providing the first comprehensive taxonomic and pharmacological profile to support species authentication and future bioprospecting. The L. condylobulbon specimen displays diagnostic epiphytic morpho-logy, including fusiform pseudobulbs, two elongate leaves, and an erect inflorescence bearing ~123 flowers. Molecular barcoding using matK, rbcL, and ITS2 confirmed its identity, with phylogenetic analyses consistently clustering it with …

Artificial Intelligence And Music Creativity: The Human Element And An Exploration Of Possibilities, Benjamin J. Guerrero, Raffaella Borasi, David Miller, Blaire Koerner, Zenon Borys, Yu Jung Han, Rachel Roberts

Journal of the Association for Technology in Music Instruction

Artificial Intelligence (AI) is widely recognized as a potential game-changer for music-making. However, the direction of these changes and the extent of their impact on the music field will depend on how musicians use AI, which partly hinges on their perceptions of AI and their willingness to engage with it. Debates are ongoing about AI’s impact on creative fields, and we anticipate that musicians’ views on these matters will significantly influence their readiness to incorporate AI into their work. We interviewed 43 participants who use technology in various roles across different music genres to gain insight into their experiences with …

The Core-Modulation Architecture (Cma): A Structural Overview Of A 14-Paper Research Program (Preprint), Griselda Poe

Publications and Research

This document provides a structural overview of the Core-Modulation Architecture (CMA), a 14-paper research program on cognition, communication, and AI interaction.

The series specifies the conditions under which cognition operates, terminates, fails, and generates structure. Rather than describing cognition by its contents (beliefs, emotions, decisions), it defines cognition through its underlying architecture: constraint-governed processing across layers with distinct termination conditions.

The framework introduces a layered model consisting of Core processing (constraint preservation and structural coherence) and Modulation (affective calibration and social interface adjustment), extended by a Prior layer as the source of constraints. Across the series, phenomena such as miscommunication, …

Mid-Century Modern: American Songs From 1945-1965. Thomas Meglioranza, Baritone; Reiko Uchida, Piano, Department Of Music, University Of Richmond

Music Department Concert Programs

No abstract provided.

The Effects Of Affordability And Quality Of Care On Utilization Of Primary Healthcare Among Rural Residents In Twifo Ati-Morkwaa District, Ghana: A Qualitative Study, Peter Ansah Boakye, Francis Tei-Nartey, Gideon Owusu

Michigan Tech Publications

Objective: This qualitative study examines how affordability and quality of care influence the utilization of primary healthcare (PHC) services among rural residents in the Twifo Ati-Morkwaa District, Ghana. While Ghana has implemented policies such as CHPS and NHIS to improve access, subjective experiences of rural residents regarding total costs of care and perceived quality remain underexplored. Methods: We conducted a qualitative cross-sectional study between April and September 2024 using purposive and snowball sampling. Ten gender-segregated focus group discussions (FGDs; n = 90 residents) and six in-depth interviews (IDIs) with PHC providers were conducted. Data were collected in Twi, transcribed and …

Cilia Dynamics In Primary Ciliary Dyskinesia: A Biophysical Characterization Of The Rsph4a Founder Variant, Gabriel Rosario-Ortiz, José Muñiz-Hernández, Natalia M Ortiz-Pérez, Marcos J Ramos-Benitez, Ricardo A Mosquera, Wilfredo De Jesús-Rojas

Faculty, Staff and Student Publications

Primary ciliary dyskinesia (PCD) is a rare ciliopathy resulting in chronic oto-sino-pulmonary disease. PCD diagnosis can be achieved by a combination of different diagnostic and adjuvant tools, including high-speed video-microscopy analysis (HSVA). A founder variant has been described in Puerto Rico as the most common cause of PCD in the island. Background/Objectives: In HSVA, objective parameters such as ciliary beat frequency (CBF) and subjective parameters such as ciliary beat pattern (CBP) shed light on the biophysical properties of cilia. However, the subjective nature of CBP creates a gap in knowledge; characteristics such as the length, angle, and bending index of …

Analyzing The Physical Mechanisms Of Aerodynamic Damping In Wind Turbine Blade Vibrations Via Numerical Simulation, North Yates

Michigan Tech Publications

Since the inception of utility-scale wind turbines, there has been a continual increase in the size of the devices used. One drawback of turbine size increase is that the weight of the rotor blades has grown dramatically. Technological advancements have allowed for the creation of light blades to overcome this issue. These lighter rotors are also less stiff than their predecessors and prone to experiencing aeroelastic vibrations that can lead to fatigue damage. Aerodynamic damping occurring during blade vibration has the potential to mitigate those oscillations; thus, understanding its underlying physics provides an extremely useful tool for future blade design. …

Axial Sulfur-Coordination Engineering Boosting Fe–N–C Catalysts For High-Performance Proton Exchange Membrane Fuel Cells, Lin Lin, Xiu-Xuan Hou, Zhe-Chen Fan, Yi-Xuan Yin, Wei-Yi Zhao, Kai Wei, Yu-Die Zhou, Li-Na Hou, Ying Wang, Hao Wan, Jun-Jie Ge

Journal of Electrochemistry

Fe-N-C catalysts have long suffered from kinetically sluggish oxygen reduction reaction (ORR) due to excessive adsorption strength toward oxygen intermediates and low site utilization. Heteroatom doping effectively accelerates ORR reaction kinetics through electronic structure modulation of metal sites for optimal intermediate adsorption, while chemical vapor deposition (CVD) enhances the turnover frequency (TOF) of active sites. Herein, we developed an FeSNC catalyst featuring abundant FeS₁N₄ sites via a dual-precursor CVD strategy. Experimental and theoretical analyses revealed that S incorporation disrupts the symmetric coordination of active sites, which optimizes OH* adsorption energies from 0.212 eV to 1.194 eV. Moreover, …