Digital Commons Network^™

The Impact Of Macroeconomic Variables On Property Prices In Malaysia During The Covid-19, Nurin Nayli Ahmad, Nurul Sima Mohamad Shariff, Aldo Eko Syaputra

Malaysian Journal of Computing (MJoC)

The housing market is a critical driver of economic growth and a source of financial stability. In Malaysia, residential property prices are influenced by a range of macroeconomic factors, including Gross Domestic Product (GDP), exchange rates, unemployment rates, and wage levels. The COVID-19 pandemic introduced significant disruption and volatility to the Malaysian economy, making it essential to understand the relationships between these factors and property prices. The pandemic's economic challenges, coupled with rising property prices, have exacerbated housing affordability issues. While previous studies focused on long-term trends (1991–2019), there is a gap in understanding the high-frequency (monthly) volatility specifically during …

Teacher Readiness And Attitudes Toward Digital Technology In Mathematics Classrooms, Nor Anis Amierah Mhd Pizor, Zarith Sofiah Othman

Malaysian Journal of Computing (MJoC)

This study explores how digital technology is integrated into mathematics education, focusing on the views of secondary school mathematics teachers and using a quantitative research method through a survey. Descriptive and inferential statistical analyses were performed to examine the factors influencing technology adoption, identify its barriers, and suggest strategies for enhancement. The novelty of this study lies in its development of an integrated perspective that simultaneously examines teachers’ readiness, experiential background, and attitudes alongside systemic constraints such as training, resource availability, and institutional support within the context of mathematics education. However, challenges such as inadequate training, limited resources, and lack …

The Effectiveness Of The Educational Program “Istedamah” (Sustainability) Based On Green School Principles In Shaping Basic Education Students’ Perceptions Of Sustainable Development Dimensions And Their Practices In Achieving Carbon Neutrality In The School Environment In The Sultanate Of Oman, Huda Mubarak Al Dayri, Abdullah. K. Ambusaidi

Journal of Educational and Psychological Studies

The study aimed to identify the effectiveness of “ Istedamah” educational programme, which is based on green school principals, in promoting the perceptions of sustainable development dimensions and their practices related carbon neutrality among basic education students in the Sultanate of Oman. The study used quasi-experimental approach based on one group pre- and post -test design. The sample consisted of 106 male and female students selected randomly from schools that apply green school project. Two tools were used to gather data: A scale of students’ perceptions of the dimensions of sustainable development, (consisted of 26 statements) and practices for achieving …

The Impact Of Voluntary Tipping Vs. Mandatory Service Charges, Ainsley Gauthier

Undergraduate Honors Theses

This study examines the impact of voluntary tipping compared to mandatory service charges on consumer satisfaction. An analysis was conducted which contained data from restaurants based in the coastal region of southern California. The dataset utilizes a citizen-curated list compiled of restaurants that impose mandatory service charges alongside a list of restaurants. This second list is compiled of restaurants that offer comparable cuisine and pricing but contrasting tipping practices. Restaurants that impose mandatory service charges of 15% or 20% were compared to restaurants that use traditional voluntary tipping. This study uses Yelp star reviews to measure consumer satisfaction. The study …

Progesterone Dose Response Of Human Endometrial Stromal Fibroblasts, Paulina Chistoserdov

Undergraduate Honors Theses

This dissertation observes the effects of the steroid hormone, progesterone, on telomerase-immortalized human endometrial stromal fibroblasts in vitro, using a Luciferase assay. The methods leading up to the assay include doing a Midi-prep for plasmid isolation as well as plating, seeding (into a 96-well-plate), transfecting (with isolated plasmids), and exposing the fibroblasts to progesterone. The data produced was inconsistent across the three replicates, and the comparison ratios for Luciferase activity did not indicate any trends in progesterone dose response over increasing doses. However, when optimized, this project will be used as a baseline in the in vitro comparative system that …

Integration Of Vision-Language-Action Foundation Models For Adaptive Robotic Arm Control In Manufacturing, Nina C. Kanonye

Undergraduate Honors Theses

Industrial automation increasingly demands robots that can adapt to dynamic environments without extensive reprogramming. Traditional robotic systems perform well in structured, repetitive settings but struggle when workspace configurations change. Programming a robot for each new task requires specialized expertise and significant time, creating a barrier for small and medium manufacturers. While recent VLA models have demonstrated strong capabilities in robotics and artificial intelligence (AI) agents, existing research has rarely focused on the complex and sequential manufacturing tasks for robotic handling, printing, sorting and assembling. This research investigates whether CogACT can be fine-tuned to perform a pick-and-place task on the Yahboom …

Neural Progenitor Cell Proliferation In Response To A High-Fat Diet And Fgfr1 Inactivation, Alexandra Natalie Chistoserdov

Undergraduate Honors Theses

Tanycytes are radial glial-like astrocytes whose cell bodies line the third ventricle (3V) with long processes extending into the hypothalamic parenchyma. In adult mice, tanycytes retain stem cell properties, with their daughter cells integrating into the median eminence or mediobasal hypothalamus. Tanycytes are implicated in glucose homeostasis and appetitive behaviors not only via the maintenance of hypothalamic cell populations, but also by their glucose, fatty acid, and hormone-sensing capabilities. Fibroblast Growth Factor Receptor 1 (FGFR1) is a tyrosine kinase receptor expressed in neural progenitor cells, including tanycytes, where it induces cell proliferation and therefore plays an integral role in neural …

The School-To-Prison Pipeline: A Crisis In Education And Justice, Abbey A. Poirier

Undergraduate Honors Theses

This honors thesis analyzes how school discipline polices, teacher perspectives, and academic factors contribute to the school-to-prison pipeline (STPP) in three Southern Louisiana parishes. Informed by General Strain Theory and Social Control Theory, the study explores how punitive environments, weak teacher-student relationships, and unmet academic or emotional needs increase the probability that students, particularly marginalized groups, are pushed out of instructional space and toward exclusionary systems such as detention centers. This project is based on a mixed-methods design using a comprehensive literature review with a teacher questionnaire distributed across Pre-K-12 schools in Lafayette, Vermilion, and St. Martin Parishes. Quantitative findings …

Iron Deficiency And Depressive Symptoms: Effects Of Racial And Ethnic Disparity In Two Reproductive-Aged Us Women, Alexis Monkhouse

USF Tampa Graduate Theses and Dissertations

Problem: Reproductive- aged women are one of the populations most at risk for iron deficiency and depression in the United States. While many studies have looked at the relationship between these two illnesses, none have explored it from a biocultural framework, examining how race/ethnicity affects this relationship. Using data from NHANES, this thesis examined the relationship between iron status (total body iron) and depressive symptoms (PHQ-9) among reproductive-aged women in the U.S. and how race/ethnicity affects it. Methods. NHANES survey data from 2005-2010 were pulled. Demographic and laboratory data were used to determine eligibility, total body iron, and depressive scores. …

Knowledge, Attitudes, And Practices Among Sexually Active Individuals Toward Trichomoniasis In The Ashaiman Municipality, Ghana: A Cross-Sectional Study, Christopher Yaw Dumevi, Percival Delali Agordoh, Yaw Osei Owusu, Josephine Afi Nukpedu Banini, Roberta Araba Amoquandoh, George Boateng Kyei, Patience B Tetteh-Quarcoo, Irene Ayi, Patrick F Ayeh-Kumi

2020-Current year OA Pubs

BACKGROUND AND AIMS: Trichomoniasis is a significant public health concern due to its implications for reproductive health and HIV transmission. Despite its prevalence, there is limited understanding of community knowledge, attitudes, and practices (KAP) regarding trichomoniasis in Ghana. This study aimed to assess KAP toward trichomoniasis among sexually active individuals in the Ashaiman Municipality of the Greater Accra Region.

METHODS: A hospital-based cross-sectional study was conducted from February to April 2024 among 397 sexually active individuals aged 15-65 years. Participants were selected via simple random sampling. Data were analyzed using SPSS version 26 and Stata version 17. Descriptive statistics summarized …

Sensitivity And Concordance Study Of An Open Source Epid-Based Linear Accelerator Test Suite, Lana C Critchfield, Cory S Knill, Ellie Durussel, Justin K Mikell, Michael Barnes, Michael Pillainayagam, William P Donahue, Seng Boh Lim, John J Demarco, Mario Perez, Nilendu Gupta, Hania Al-Hallaq, Richard A Popple, Jim Irrer, Jean M Moran

2020-Current year OA Pubs

BACKGROUND: Electronic portal imaging devices (EPIDs) enhance linear accelerator (linac) quality assurance (QA) efficiency but are not universally used beyond patient-specific IMRT QA. A multi-institutional Consortium seeks to standardize linac QA utilizing an EPID-based test suite.

PURPOSE: This study evaluates the sensitivity of a test suite to intentional linac and plan errors and the concordance with linac fluctuations over time.

METHODS: Baseline and error-introduced tests were performed on a Varian TrueBeam and Clinac. Evaluated parameters included enhanced dynamic wedge factors (EDW) (6MV), central axis dose (6MV, 6MV FFF, 16MV), focal spot alignment and beam symmetry (6MV, 16MV), dose rate-gantry speed …

Apoe-Stratified Proteomic And Metabolomic Analysis Reveals Mitochondrial Dysfunction Inflammation And Lipid Dysregulation In Alzheimer's Disease, Fuhai Li, Yike Chen, Daniel Western, Muhammad Ali, Menghan Liu, Katherine Gong, Ying Xu, Joseph Lowery, David M Holtzman, Carlos Cruchaga, Et Al.

2020-Current year OA Pubs

Apolipoprotein E (APOE) ε4 is the strongest genetic risk factor for Alzheimer's disease (AD). However, it is known that other pathways independent of APOE also play a role in AD. Disentangling APOE-dependent and independent effects is instrumental for understanding the biology of AD. We conducted an APOE-stratified multi-omic analysis in multiple large datasets to identify AD-associated plasma proteins and metabolites. More than 64% of the identified proteins were not found in non-APOE stratified studies, and 17% of the proteins showed APOE-specific trends. Mitochondrial dysfunction was associated in AD independently of APOE and was accompanied by disruptions in glucose and lipid …

Exploring Stakeholder Awareness, Institutional Support, And Implementation Of Co-Design In Higher Education: Challenges And Ai Readiness, Shrikant W. Ramteke

Library Philosophy and Practice (e-journal)

Abstract

Purpose In this paper, the gap between the discussion of co-design in the theory and its application in the higher education practice is identified. By contrasting the level of knowledge that the stakeholders possess regarding co-design, the support that the institutions provide them, and their implementation of co-design in practice, it leaves a few general trends, attitudes, and problems.

Design/methodology/approach We were given a structured survey, which measured composite indices of awareness, institutional support, implementation and AI readiness. The study used non-probability purposive sampling technique since it will address the stakeholders who have firsthand experience in the participatory design …

Acute Myocardial Infarction In Medicare Beneficiaries During And After The Covid-19 Pandemic, Jonah M Graves, R J Waken, Fengxian Wang, Rishi K Wadhera, Jose F Figueroa, E John Orav, Osvaldo J Laurido-Soto, Karen E Joynt Maddox

2020-Current year OA Pubs

IMPORTANCE: During early months of the COVID-19 pandemic, presentations for acute myocardial infarction (AMI) declined significantly, and outcomes worsened. However, the full extent and long-term sequelae of changes in AMI epidemiology during the pandemic remain uncertain, as does whether these patterns differed by rurality.

OBJECTIVE: To describe the epidemiology of AMI-related hospitalizations, interventions, and outcomes among Medicare beneficiaries throughout the COVID-19 pandemic, focusing on differences in urban and rural populations.

DESIGN, SETTING, AND PARTICIPANTS: This retrospective cohort study included all Medicare fee-for-service beneficiaries with AMI between January 1, 2018, and December 31, 2023, in the analysis. Data were analyzed from …

Performance Of Multiple Multi-Cancer Detection Tests Using A Large Independent Reference Set (Alliance A212102), Marie E Wood, Mark Watson, Et Al.

2020-Current year OA Pubs

BACKGROUND: Reference sets are needed to evaluate performance of multi-cancer detection (MCD) assays. The National Cancer Institute funded the Alliance reference set study to assess MCDs for use in future trials.

METHODS: Individuals with cancer and controls were recruited; blood specimens were collected prior to cancer treatment. A performance evaluation study was designed utilizing reference set samples. Companies (n = 6) were selected to participate based on review of performance data and ability to utilize the blood collection tube. Companies received samples from cancer types their assay was designed to detect ("targeted"), plus additional "non-targeted" and control samples. Companies reported …

Automating Evaluation Of Llm-Generated Responses To Patient Questions About Rare Diseases, Min Zhao, Inez Y Oh, Aditi Gupta, Sally Cohen-Cutler, Kathryn M Harmoney, Albert M Lai, Bryan A Sisk

2020-Current year OA Pubs

OBJECTIVES: Patients with rare diseases often struggle to find accurate medical information, and large language model (LLM)-based chatbots may help meet this need. However, evaluating LLM-generated free-text answers typically requires physician review, which is time-consuming and difficult to scale. This study compared traditional natural language processing (NLP) metrics to emerging LLM-based evaluation approaches for assessing answer quality in the context of Complex Lymphatic Anomalies (CLAs).

MATERIALS AND METHODS: We compiled 25 common patients' questions about CLAs and generated 175 responses to these questions from seven LLMs. Three expert physicians scored these responses for accuracy. We compared these physician-assigned scores with …

Deep Learning In Fetal, Infant, And Toddler Neuroimaging Research, Jenna H Chin, Madeleine K Wyburd, Vladislav Ayzenberg, Laurie Bayet, Berkin Bilgic, Emily M Chen, Yuting Chen, Áine Dineen, Shohei Fujita, Janelle Liu, Yohan Jun, M Catalina Camacho, Lilla Zöllei

2020-Current year OA Pubs

Artificial intelligence (AI) is increasingly being integrated into everyday tasks and work environments. However, its adoption in medical image analysis has progressed more slowly due to high clinical stakes, limited availability of labeled data, and substantial variability in imaging protocols and population. These challenges are further pronounced in the field of fetal, infant, and toddler (FIT) neuroimaging, where datasets are especially scarce and subject to large amounts of anatomical variability. However, deep learning (DL), a specific method within machine learning, which is itself a subfield of AI, has emerged as a powerful framework to adapt to the challenges of medical …

Internal Public Relations Influence On Organizational Citizenship Behaviors: Integrating Social Identity Perspectives In Organizational Contexts, Daewook Kim

Asia Marketing Journal

This study examined how internal public relations encourages employees to participate in organizational citizenship behaviors. Using a national survey of employees (N = 339), we tested a conceptual model that proposed linkages among dialogic internal communication, organizational social capital, communal relationships, and organizational citizenship behaviors. The results suggest dialogic internal communication can enhance organizational social capital and encourage internal publics to participate in organizational citizenship behaviors. Additionally, organizational social capital mediated the effects of dialogic internal communication on communal relationships and organizational citizenship behaviors. The findings highlight a critical connection between public relations and social identity perspectives within organizational …

Does Ai-Driven Empathy Work In Healthcare Marketing? The Impact Of Cognitive And Affective Empathy In Chatbots And The Moderating Role Of Illness Type, Jee Won Kim, Yeonsoo Kim, Jino Chung

Asia Marketing Journal

Recognizing the growing potential of AI-generated chatbots in healthcare and healthcare marketing, this study investigates how different types of chatbot-expressed empathy influence user responses in stigmatized versus non-stigmatized health contexts. Perceived authenticity is introduced as a key mediator. Drawing on Mind Perception Theory, a 3 (empathy: none, cognitive, affective) × 2 (illness type: stigmatized, non-stigmatized) online experiment was conducted. The findings show that affective empathy reduced perceived authenticity, which subsequently decreased user satisfaction, perceived understanding, reuse intention, and follow intention. These indirect effects varied by illness type: in stigmatized contexts, non-empathetic communication was viewed most favorably, whereas in non-stigmatized contexts, …

Are You Ready To Embrace Ai-Generated Art? Exploring The Differential Effects Of Ai Versus Human Agents On Consumer Response, Seojin Stacey Lee, Yaeri Kim, Kiwan Park

Asia Marketing Journal

With a growing integration of artificial intelligence (AI) into creative domains, understanding its impact on consumer responses remains a critical area of inquiry. This research examines how agent type (AI vs. human) and art type (fine art vs. art-infused product) influences consumer purchase intention, along with the underlying psychological mechanism. Across three empirical studies, we find that consumers report higher purchase intention for art-infused products compared to fine art when created by AI. In contrast, this difference in purchase intention is diminished when the products are created by human artists. Perceived incompatibility functions as a moderated mediator in this process. …

Asking Hospitals To Do Their Share, Kimberly Mutcherson

Fordham Law Review Online

No abstract provided.

Law's Limits: Abortion And The Social Determinants Of Health, Maya Manian

Fordham Law Review Online

No abstract provided.

Extracting And Visualizing Location Effects With Machine Learning In Mass Valuation, Daniel Fasteen Ph.D.

GIS/ValuationTechnologies Conference 2026

Quantifying the influence of location remains one of the most persistent challenges in mass appraisal. This presentation compares several data-driven methodologies for deriving location adjustments, focusing on the use of Gradient Boosting Models (GBMs) and traditional geospatial techniques. GBMs are leveraged to model sale prices and generate property-level “Location Factors” (LocFs) using SHAP (SHapley Additive exPlanations) values, which isolate and quantify the spatial component of value. These SHAP-based LocFs are compared with those derived from geostatistical and regression-based approaches, highlighting tradeoffs between interpretability, accuracy, and practical application. Visualization of LocFs reveals localized pricing patterns and supports improved market segmentation and …

Arcgis Pro Tasks: Building Consistency, Saving Time, William Carbonetto, Sarah Sharp

GIS/ValuationTechnologies Conference 2026

This session explores how ArcGIS Pro Tasks can transform complex GIS workflows into guided, repeatable processes that promote consistency, accuracy, and efficiency across teams. Using examples from the Maricopa County Assessor’s Office, we’ll demonstrate how tasks streamline parcel mapping, subdivision processing, and other cadastral workflows. Attendees will see how automation and user-friendly task design can reduce errors, shorten training time, and improve collaboration between technicians and quality control staff. The presentation combines live demonstrations, recorded examples, and a behind-the-scenes look at the Python scripting that powers advanced task functions. Whether you’re managing a large production environment or looking to improve …

The Journey To Sketching In A Gis Environment, Brian Smith Aaci, Greg Caufield, Christopher Bruckman [email protected]

GIS/ValuationTechnologies Conference 2026

Learn how transforming your CAD sketches to a GIS Environment can assist with the review, sharing, and correcting your sketch data. From sketch conversion to sketch editing, Kentucky Department of Revenue (KYDOR) along with Esri Canada are transforming the way that sketches are looked at and used by leveraging the power of GIS for a smoother process.

Seeing Every Angle: How Mobile County Uses Aerial Imagery To Modernize Property Assessment, Lucas Furman, Kit Cecil Acm, Melissa Limoges Aas, Res, Acar

GIS/ValuationTechnologies Conference 2026

Property assessors are increasingly turning to aerial imagery and data solutions to enhance accuracy, transparency, and efficiency in valuation. In this session, Mobile County, Alabama, shares how integrating high-resolution oblique imagery directly into their CAMA system has transformed their appraisal workflow. Attendees will see how assessors conduct remote property reviews aligned with IAAO Standard 3.3.5, using current and historical imagery to verify changes, support equitable valuations, and reduce field visits. The presentation will demonstrate practical examples of how imagery integration saves time and resources while maintaining public confidence in fair and consistent assessments. Learn how Mobile County leveraged this technology …

Deterrence Under Strain: Assessing Us-Japan Strategic Alignment, Kaitlyn Elizabeth Early, Carl Rehberg

Helms School of Government Spring Public Policy Conference

No abstract provided.

The “Crisis” Of Democratic Systems: Problem Or Challenge? A Christian Approach To The Thought Of Alexis De Tocqueville (1805-1859), Antonio Lattanzio Pr. Dr.

Helms School of Government Spring Public Policy Conference

No abstract provided.

Proactive Disruption Of Adversarial Learning Via Systematic Feedback Loop Corruption, Google Case Managers Picozzi, Dishant Mathur

Defensive Publications Series

Modern fraud prevention is often limited by a reactive approach that inadvertently provides training data to adversaries, allowing them to refine tactics whenever a detection signal or account block occurs. To address this feedback loop, a framework is disclosed for the proactive disruption of fraudulent operations by systematically corrupting internal adversarial learning processes. The method involves mapping entry vectors, identifying behavioral heuristics used by operators, and injecting inconsistent success signals, such as decoy enthusiasm and variable response compliance, into the interaction flow. Additionally, operational workflows are desynchronized to increase coordination friction and propagate stress across the scam network. By rendering …

Phonetic Pre-Normalization For Cross-Store Product Title Resolution, Aaron Burton

Defensive Publications Series

A method for resolving misspelled and phonetically variant product titles in ecommerce by applying phonetic encoding as a pre-normalization step before downstream product identity resolution. The system converts product title tokens into phonetic representations using Double Metaphone encoding, matches phonetic codes against a known-good product vocabulary, and substitutes corrected tokens before the title enters any downstream normalization or matching pipeline. This enables cross-store product resolution to handle common misspellings such as brand name variants without requiring retraining or vocabulary expansion in the downstream system.