Digital Commons Network^™

Construction Industry Capacity Evaluation: Using Business Intelligence For Data-Driven Insights, Azam Zavvari, Mostafa Babaeian Jelodar, Suzanne Wilkinson, Monty Sutrisna

CIB Conferences

Access to reliable capacity insights is critical for stakeholders in the construction industry, yet planning often suffers from uncertainties and inconsistent data. The goal of this research is to leverage data-driven business intelligence tools to evaluate and optimise the interplay of supply and demand in the construction industry, addressing capacity challenges while providing actionable insights for informed decision-making and strategic planning. This study adopts a mixed-methods approach, combining bibliometric analysis, a literature review, and a case study of Auckland, New Zealand. Using business intelligence tools, the research examines seasonal trends in project initiations and completions, resource inefficiencies, and contractor dependencies. …

Developing A Conceptual Model To Predict Disputes In Construction Projects Using Artificial Intelligence Technologies, Mathusha Francis, Srinath Perera, Wei Zhou, Samudaya Nanayakkara

CIB Conferences

The construction industry is a complex and competitive environment and disputes become more prevalent. The construction disputes negatively effect the cost, time and quality of the project. Further, disputes could result in the abandonment of projects and even the financial collapse of construction companies. Many researchers have attempted to mitigate disputes by addressing the causes of disputes, dispute avoidance techniques, and resolution methods from different perspectives. However, recent literature has evidenced that disputes remain a persistent threat in construction projects. The construction industry is attempting to transform into a technology-driven industry through the adoption of innovative concepts and technologies. In …

Engaging Children With Learning Difficulties In A Book Club, Jan Lacina

The Reading Professor

This article examines the implementation of a before-school book club at a university laboratory school serving children with learning difficulties. The study highlights the role of intentional book selection and discussion in fostering empathy and a love of reading among diverse learners, particularly within special education contexts.

Shifting The Discourse: How Asset-Based Literacy Practices Unlock Multilingual Learners' Potential, Robert A. Griffin

The Reading Professor

As multilingual learners (MLs) grow in number, educators must shift from deficit-based literacy instruction to asset-based approaches that leverage students' home languages, cultures, and identities. This article explores three research-backed strategies, culturally responsive texts, digital storytelling, and community-integrated literacy projects, that empower MLs and enhance engagement, motivation, and literacy development. Grounded in real-world classroom applications and empirical research, the discussion provides practical solutions for integrating these strategies, addressing common challenges, and fostering an inclusive learning environment. The author, an experienced teacher educator, shares anecdotes on how his students implement these strategies in their diverse classroom settings to maximize ML success. …

Teachers' Perceptions Of Pandemic Learning Losses Among English Language Learners: Effects Of Language Proficiencies And Language Modalities, Audrey Figueroa Murphy, Bruce Torff

The Reading Professor

Practicing teachers (n=95) completed a survey in correlational research conducted to determine the extent to which, and the ways in which, they reported learning losses among English Language Learners stemming from the Covid-19 pandemic. Two candidate factors were examined: language proficiencies (L1 and L2) and language modalities (listening, speaking, reading, writing). Students weak in both languages showed the largest losses, and students strong in both, the smallest. Low L-2 students suffered larger losses than high-L2 students regardless of L1 proficiency. In speaking skills, when L2 is weak, low-L1 students had larger losses than high-L1 students. Teachers reported no significant differences …

Evaluating The Evaluation Matrices: Integrating Spatial Assessment In Geospatial Ai Model Training And Evaluation, Fangzheng Lyu

I-GUIDE Forum

This paper examines the limitations of current evaluation metrics in GeoAI. Through two case studies on deep learning models—a building detection classification problem and a remote sensing image fusion regression problem—this paper demonstrates how traditional statistical evaluation matrices alone can be misleading in geospatial problems. The findings indicate that traditional metrics (e.g., RMSE, MAE) used in current GeoAI models can have difficulty capturing the spatial dimensions inherent to geospatial problems. This paper suggests that the model evaluation process in GeoAI should move beyond traditional evaluation matrices by integrating spatial thinking throughout the modeling pipeline—not only incorporating spatial accuracy in model …

Expanding Access To Cybergis-Compute Through Support For Heterogeneous Workflows, Alexander C. Michels, Ian Zhang, Anand Padmanabhan, John Speaks, Rebecca Vandewalle, Shaowen Wang

I-GUIDE Forum

CyberGIS-Compute is a geospatial middleware tool designed to lower technical barriers to High-Performance Computing (HPC) resources. It provides end-users with a Graphical User Interface (GUI) for submitting models to HPC and allows model developers to contribute their workflows by adding a manifest to their repositories. However, the simplification of the user interface and streamlining of model contribution have unintentionally limited the scope of models that could be run on CyberGIS-Compute. In this paper, we discuss recent developments to the CyberGIS-Compute project that are aimed at supporting a wider variety of workflows including performance enhancements, supporting additional configuration options for jobs, …

Machine Learning-Based Variance Analysis Of Brightness Temperature In Simulated Satellite Footprints, Chhaya R. Kulkarni, Nikki Prive, Vandana P. Janeja

I-GUIDE Forum

This study investigates the variance in brightness temperature (BT) within simulated satellite footprints for Observing System Simulation Experiments (OSSE), focusing specifically on Channels 5 and 11 of the Advanced Microwave Sounding Unit (AMSU-A). High-resolution atmospheric simulations from the DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domains (DYAMOND) dataset were utilized to generate brightness temperature data using the Python interface for the Community Radiative Transfer Model (PyCRTM). A computational design map incorporating Random Forest and Association Rule Mining was employed to identify and validate key atmospheric variables influencing BT variance. This ensemble approach facilitated a deeper understanding of atmospheric …

Research Proposal: Complex Relationship Of Religious Community, Psychological Health, And Socioeconomic Status Of Spanish Speaking Residents Ages 18-50 In Lynchburg, Va, Faith Park

NEXUS: The Liberty Journal of Interdisciplinary Studies

Previous research has shown a clear quantitative correlation between socioeconomic status and religious gatherings as well as psychological health and religious gatherings. However, there have been few studies on the interconnectedness of mental health, socioeconomic stability, and religious identity and gathering. Research thus has not addressed the personal implications and the benefits of individual perspectives that can be offered through a qualitative methodology. Thus, this research proposes an ethnographic methodology which may provide insights that do not limit the subjectivity of mental health, religious experiences, and socioeconomic struggles.Through an integration of psychology, anthropology, and sociology, the proposed research hopes to …

Hybrid Camera Aggregator Using Mipi Virtual Channels And Horizontal Stitching, Sam Li

Defensive Publications Series

A hybrid camera aggregation method includes receiving a set of cameras, where a synchronous subset of cameras in the set of cameras is of a same resolution, a data format, and a trigger and asynchronous cameras in the set of cameras includes individual cameras that are not of the same resolution, the data format, or the trigger, stitching camera frames in the synchronous subset of cameras to create a single super-frame, sending the single super-frame via a first stream that is assigned to a first virtual channel ID, and sending the individual cameras including an individual camera frame via a …

An Exploration Of Elementary Teachers’ Experiences In Providing Instruction For Students Identified As At Risk For Dyslexia, Laurie J. Flannery Ms

Doctor of Education Program Dissertations

The problem addressed in this study was the need to understand if teachers were prepared to provide instruction for students identified as at risk for dyslexia after the implementation of a dyslexia screener. Dyslexia legislation requiring screening for dyslexia has been passed in numerous states (National Center for Improving Literacy [NCIL], 2023), but studies have indicated teachers do not feel prepared to provide instruction for students identified as at risk for dyslexia (Jones et al., 2019; Shaywitz et al., 2007; Wadlington & Wadlington, 2005; Washburn et al., 2011). The purpose of this qualitative phenomenological study was to explore the experiences …

Anomaly Detection In Electrical Systems Using Machine Learning And Statistical Analysis, Mustafa I. Al-Karkhi, Grzegorz Rzadkowski, Latif Ibraheem, Muhammad Aqib

Terra Joule Journal

The reliability of electrical systems is essential for uninterrupted power supply across residential, industrial, and commercial sectors. This research utilizes the various techniques of ML in identifying all sorts of abnormal electrical power variables, including voltage fluctuations, line faults, and frequency variations that emanate from several causes like equipment failures and environmental ones. Voltage and current measurements were pre-processed along with other additional parameters such as frequency and THD, then visualized to assure its quality and relevance for training the ML models. The work implemented the algorithms of Random Forest, Decision Tree, XGBoost, SVM, and Logistic Regression-the Random Forest Classifier …

Aristotle, Women, And Greek Tragedy, Edith Hall

Budhi: A Journal of Ideas and Culture

A paradox lies at the heart of the ancient Greek philosopher Aristotle’s analyses of the best type of hero in a tragedy as outlined in his Poetics, his account of women as less able to deliberate than men in his Politics Book 1, and the actual moral stature of women in the surviving tragedies. This illustrated lecture examines the tensions between his remarks about male-female relationships in his ethical and political works and his admiration for Greek tragedy, with special reference to Aeschylus’s Agamemnon, Sophocles’s Antigone, and Euripides’s Medea.

Hematological Parameters And Systemic Inflammatory Markers In Children With Viral Acute Lower Respiratory Tract Infections, Sadiye Sert, Fatma Sargin, Şerife Karaçal Say, Berna Erayman, Ebru Buldu

Journal of Pediatric Infectious Diseases

Objective: Viral acute lower respiratory tract infections (ALRTIs) are a leading cause of morbidity and mortality in children, particularly those under 5 years. Accurate diagnosis and timely management are crucial to improve outcomes. This study aimed to address the lack of comparative analysis between hematological and systemic inflammatory markers concerning established disease severity scores in children with viral ALRTIs. We sought to evaluate the correlations between these markers and severity scores to identify which parameters provide the most reliable predictive value for assessing the severity of ALRTI diagnoses in this population.

Methods: This retrospective cross-sectional study included 191 children hospitalized …

Evaluation Of Gastrointestinal Pathogens In Children With Inflammatory Bowel Disease Using Multiplex Polymerase Chain Reaction, Yeliz Çağan Appak, Özgür Appak, Betül Aksoy, Büşra Emi̇r, Ayça Arzu Sayiner, Maşallah Baran

Journal of Pediatric Infectious Diseases

Objective: Impaired gastrointestinal mucosa and immunosuppressant therapies increase the risk of secondary infection in patients with inflammatory bowel disease (IBD). This study evaluated the detection of pathogens in children with IBD using a gastrointestinal panel (GP). This is the first study to compare this method with clinical data from pediatric IBD patients.

Methods: Children with newly diagnosed IBD or experiencing disease flares were included. Demographic data, clinical and laboratory findings, treatments, treatment durations, and disease activity were analyzed. Stool samples were assessed using multiplex real-time polymerase chain reaction with QIAstat-Dx GP®. Results were compared between groups.

Results: Thirty-five patients with …

Empowering Tanzanian Education: Personalized And Accessible Test Preparation, Brian Wiebe, Shiv Jhalani

Computer Science and Engineering Senior Theses

Only 20% of students performed well enough on their secondary exams to continue their A-level studies. This challenge exists due to a lack of resources, classroom overcrowding, and absenteeism of the instructors. The project focuses on improving the pass rate for these national exams; we have built an intelligent quiz generating platform that helps Tanzanian students prepare more effectively for exams by meeting user needs including active recall, answer explanations, increasing difficulty, and filtered studying. Students can select the subject, form level, topic, and the difficulty level, and the platform provides different types of questions, including true/false, multiple choice, and …

Examining Factors Predicting Gatekeeping Avoidance In Counselor Educators And Supervisors, Bianca Wallace

ETD Collection

No abstract provided.

The Minutes Of The Marshall University Staff Council Meeting, June 2025, Marshall University Staff Council

Staff Council Minutes

No abstract provided.

Educating Staff On Using Medication-Assisted Treatment (Mat) In Opioid Use Disorder (Oud), Demie Alaekwe

Walden Dissertations and Doctoral Studies

Medication-assisted treatment (MAT) programs, especially those led by providers, can expand access to care for persons with opioid use disorder (OUD). The gap in practice at the site was the insufficient knowledge among nurses on how to effectively use MAT in treating OUD. The purpose of this staff educational project was to design and implement a training module to educate mental health providers on the principles and interventions of MAT. The practice-focused question was: Does educating nurses on MAT principles while incorporating evidence from the literature improve their knowledge as measured by pre- and post-test? The ADDIE pedagogy model was …

Exploring The Very Early Cosmological History With Dark Matter And Primordial Black Holes, Phuc Duc Loc Ngo

Physics & Astronomy ETDs

We explore the possibilities of nonstandard early cosmological histories and their potential roles to explain DM. We study how particle DM is produced with scenarios of early matter domination (EMD), how primordial black holes (PBHs), which could also be a DM candidate in certain mass ranges, are formed with enhanced curvature perturbation or FOPT and the corresponding gravitational wave (GW) signals, how PBHs could increase their mass by accretion during EMD and the corresponding GW signals.

Exploring Students’ Word Stress In Speaking: Does Ethnicity Matter?, Kardi Nurhadi, Diyenti Rusdin, Indah Werdiningsih, Nunung Suryati

Journal of English and Applied Linguistics

In recent years, many studies have examined the impact of word stress on speaking, but few have looked into how multiethnic students handle word stress in pronunciation. This gap is particularly noticeable in Indonesia, where the rich diversity of ethnicities and local dialects presents both unique challenges and opportunities for English-as-a-foreign-language (EFL) learners. This study aims to fill that gap by examining how the ethnic backgrounds of Indonesian students from Sulawesi influence their word stress. Twelve students (6 males, 6 females, aged 19–21) from four different ethnic groups were recruited as participants. Data were gathered through interviews, read-aloud recordings, lecturer …

Fostering Vocabulary Enhancement Through Quizizz: A Perspective On Digital Gamification, Joseph Decena Dayag

Journal of English and Applied Linguistics

As interactive gamified platforms increasingly shape the current academic landscape, this perspective paper critically examines Quizizz’s contribution to English language learners’ vocabulary development. Drawing on Self-Determination Theory and Krashen’s Affective Filter Hypothesis, it analyzes how game elements—such as immediate feedback, point-based competition, and accessible design—satisfy learners' psychological needs for autonomy, competence, and relatedness, enhancing intrinsic motivation and reducing anxiety. Synthesizing insights from recent empirical studies and pedagogical practice, the paper demonstrates that Quizizz promotes both learner engagement and vocabulary retention. It also identifies gaps in the literature regarding cognitive depth, emotional engagement, and the sustainability of vocabulary gains. The discussion …

Uncovering Multiscale Structure-Property Correlations Via Active Learning In Scanning Tunneling Microscopy, Ganesh Narasimha, Deja Kong, Paras Regmi, Rongying Jin, Zheng Gai, Rama Vasudevan, Maxim Ziatdinov

Faculty Publications

Atomic arrangements and local sub-structures fundamentally influence emergent material functionalities. These structures are conventionally probed using spatially resolved studies and the property correlations are deciphered by a researcher based on sequential explorations, thereby limiting the efficiency and scope. Here we demonstrate a multi-scale Bayesian deep-learning based framework that automatically correlates material structure with its electronic properties using scanning tunneling microscopy (STM) measurements in real-time. Its predictions are used to autonomously direct exploration toward regions of the sample that optimize a given material property. This method is deployed on a low-temperature ultra-high vacuum STM to understand the structure-property relationship in a …

An Evaluation Of Check-In/Check-Out For Children With Emotional And Behavioral Disorders, Norma E. Guillen

USF Tampa Graduate Theses and Dissertations

Children with emotional and behavioral disorders (EBD) often display disruptive behavior that can hinder their learning and negatively affect the classroom environment. Check-in/Check-Out (CICO) is a Tier-2, evidence-based intervention designed to support children who have difficulty engaging in classroom activities and are at-risk of developing more severe challenging behavior. The primary goal of the intervention is to prevent the escalation of these behaviors and reduce the need for more intensive individualized interventions. However, limited research exists on the effectiveness of CICO for children with emotional and behavioral disorders (EBD). This study examined the effects of CICO on improving on-task behavior …

Bridging Virtual Robots And Physical Tasks Via Augmented Reality, Xiangfei Kong

USF Tampa Graduate Theses and Dissertations

Entry to human-robot interaction research, e.g., conducting empirical experiments, faces a significant economic barrier due to the high cost of physical robots, ranging from thousands to tens of thousands. This cost issue also severely limits the field’s ability to replicate user studies and reproduce the results to verify their reliability, thus offering more confidence to incorporate these findings. Although virtual reality (VR) user studies present a potential solution, it is unclear whether we can confidently transfer the findings to physical robots and physical environments because VR isolates both the physical robot and the physical world where robots operate. To address …

From The Amazon To The Andes: Paleoclimatic And Paleoenvironmental Changes Recorded By Sedimentary Biomarkers Since The Late Pleistocene, Alessandro Antúnez De Mayolo Mauceri

Arts & Sciences Graduate Student Theses and Dissertations

The South American tropics encompass some of Earth's most diverse and dynamic landscapes, from tropical glaciers and arid deserts to savannahs, shrublands, and the planet’s largest and most biodiverse rainforest—spread across a vast climatic and topographic gradient. These biomes provide vital natural resources that sustain communities, bolster economies, and serve as key components of the global hydrologic and carbon cycles. Despite their environmental and socioeconomic importance, these tropical systems are highly vulnerable to contemporary and future climate change and its cascading impacts. Adding to this challenge, the scarcity and short duration of instrumental climate records from this region pose major …

Sharon Kyle, Mark Naison

Oral Histories

Abstract

Interviewer: Mark Naison, Stephanie Robinson-Ramirez, Shellae Versey

Interviewee: Sharon Kyle

Sharon Kyle’s philosophy for living is one foot in front of the other, one day at a time. This philosophy has made her a prominent figure in the critical news site LA Progressive, and guided her life journey from the Bronx to NASA and law school. Born in 1957, she grew up in the Edenwald projects, where she faced challenges like domestic violence and being surrounded by drug use. She was the sole advocate for her education, without any help or guidance from her parents regarding her intellectual path. …

Christelle Onwu, Mark Naison

Oral Histories

Abstract

Interviewer: Mark Naison, Stephanie Robinson-Ramirez, Jane Kani Edward

Interviewee: Christelle Onwu

Christelle Onwu’s profound work demonstrates the importance of advocacy and research in changing policies and improving community engagement. Through her experiences with helping children through social work, she realized that the way in which she could truly make change was through policy work and reworking the cultivation of systems to ensure the success of future generations. Christelle, originally from Cameroon, arrived in the U.S. at 17 and attended John Jay College, where she excelled academically and received multiple scholarships. Through her excellence, she has been recognized as one …

Glacial Erosion And History Of Inglefield Land, Northwestern Greenland, Caleb K. Walcott-George, Allie Balter-Kennedy, Jason P. Briner, Joerg M. Schaefer, Nicolás E. Young

Earth and Environmental Sciences Faculty Publications

We used mapping of bedrock lithology, bedrock fractures, and lake density in Inglefield Land, northwestern Greenland, combined with cosmogenic nuclide (¹⁰Be and ²⁶Al) measurements in bedrock surfaces, to investigate glacial erosion and the ice sheet history of the northwestern Greenland Ice Sheet. The pattern of eroded versus weathered bedrock surfaces and other glacial erosion indicators reveal temporally and spatially varying erosion under cold- and warm-based ice. All of the bedrock surfaces that we measured in Inglefield Land contain cosmogenic nuclide inheritance with apparent ¹⁰Be ages ranging from 24.9 ± 0.5 to 215.8 ± 7.4 ka. The …

Redefining Gender Equality: A Senegalese Conversation With Islam, Seulgie Lim

All Faculty Scholarship

How do Muslim women balance their religious agency and political aspirations? Gender quotas have been used across the African continent to improve women's political visibility since the 1990s. Senegal's own experiment with gender equality in 2010 faced political barriers as well as religious ones. The author sheds light on how Muslim women activists in Senegal shaped women's place in their communities through the gender parity law. Based on multiple fieldwork visits from 2016 to 2018 and individual interviews with activists and scholars involved in the movement to make gender parity the law in Senegal, the author argues that while Islam …