Digital Commons Network^™

Effects Of Evaporator And Condenser Temperatures On The Performance Of A Chiller System With A Variable Speed Compressor, Ahmed H. Al-Hassani, Alaa R. Al-Badri

Engineering and Technology Journal

The operation and performance of heat-pump systems are affected by indoor and outdoor operating conditions. Power consumption and system efficiency are related to evaporator and condenser working pressures. Intelligent controllers such as a proportional integral (PI) controller improve the performance of variable speed refrigeration systems (VSRs) with electronic expansion valve (EEV). Evaporator and condenser pressures affect the system power consumption and efficiency. In this study, the influence of evaporator and condenser temperatures on the performance of a variable speed refrigeration system with an EEV was experimentally investigated at constant cooling load. The experimental system comprises of a rotary compressor, shell-and-coil …

Direct Shear Strength Of Rpc Member, Shahad Q. Madhlom, Hussein A. Aziz, Ammar A. Ali

Engineering and Technology Journal

In this research paper, results are obtained from Reactive Powder Concrete (RPC) push-off specimens - double L shape subjected to direct shear loading. Different parameters considered are compressive strength, percentages of steel fiber, presence of aggregate and shear reinforcement. The results show that increasing in steel fiber content starting from 0.0% and ending with 1.5% leads to increases in the shear strength by (261%) and attempt to decrease its brittleness. The presence of steel fiber content enhances and improves the tensile strength and the shear strength. Using RPC in constructing the specimens enhances the shear strength by 29.6% compared with …

Performance Evaluation Of Photovoltaic Panels By A Proposed Automated System Based On Microcontrollers, Mustafa Q. Ali, Monaf S. Tapoub, Hayder A. Dhahadc

Engineering and Technology Journal

In this paper, an automated test setup for PV panels using LabVIEW and several microcontrollers (μCs) based embedded systems has been designed, tested, and implemented. This PV testing system has been characterized as fully automated and the only human intervention required is to install the PV panel and to set the required testing conditions. Several PV panels were evaluated and tested, the obtained results showed a high degree of accuracy and conformity with several testing schemes that have been carried out numerically, manually and manufacturer specifications. The designed system is characterized by a high-performance standard with accuracy, precision, and resolution …

A Review On Microbial Fuel Cells, Baidaa A. Kitafa, Afaf J. Obaid Al-Saned

Engineering and Technology Journal

The Microbial Fuel Cell (MFC) is a bioreactor with which the chemical energy in chemical bonds of organic compounds are converted to electricity under anaerobic conditions through catalytic reactions of micro-organisms. It has been familiar for a long time that electricity can be generated directly through using bacteria to break organic matter. A microbial fuel cell can also serve in different wastewater treatment to destroy organic matter. The development of MFC technology requires a greater understanding of the microbial processes for MFCs, and their components, limitations, factors and design this system, to be simpler and large scale system developed; so …

Evaluation Of Gridded Precipitation Products And Machine-Learning Models For Rainfall Prediction In Arid Regions - Case Study In Qassim Region, Ksa, Ragab Rabeiy

Yanbu Journal of Engineering and Science

Receiving rainfall predictions in dry regions such as Saudi Arabia is challenging due to limited observational stations and the temporal and spatial variability of rainfall events. This study explores the performance of nine remote sensing rainfall datasets over the Qassim region of central Saudi Arabia. High-resolution rainfall data from ground-based sources were used to evaluate the accuracy of CHIRPS, TRMM, GPM, PERSIANN, CMORPH, CFSR, TerraClimate, TerraClimate_Monthly, and ERA5 datasets. Performance metrics such as R2, RMSE, MAE, and bias were calculated to quantify the accuracy of each dataset. Analysis revealed that ERA5 generally demonstrated better accuracy than the other datasets with …

Attention-Based Ensemble Deep Learning Model For Arabic And English Fake News Classification, Ameer Alhaq Alshamery

Journal of Intelligent Informatics, Networking, and Cybersecurity

It is difficult to classify articles as fake news since one article may consist of true facts with only some statements being fake. Moreover, classification becomes complicated for the Arabic language owing to its morphology and several ways of spelling, as well as the lack of well-classified and marked data sets. This paper presents an Ensemble Deep Learning Model (EDLM) used for Arabic and English fake news classification. The EDLM consists of CNN, Bi-LSTM with attention, and Bi-GRU with attention networks. Each of them produces one probability of the article, which is then summed up to a final probability via …

Novel Dynamic Batch-Sensitive Adam Optimiser For Vehicular Accident Injury Severity Prediction, Daniel Asare Kyei, Alimatu Saadia-Yussiff, Maame G. Asante-Mensah, Abdul Lateef-Yussiff, Charles Roland Haruna, Derry Emmanuel

Iraqi Journal for Computer Science and Mathematics

The choice of optimiser is important in deep learning, as it strongly influences model efficiency and speed of convergence. However, many commonly used optimisers encounter difficulties when applied to imbalanced and sequential datasets, limiting their ability to capture patterns of minority classes. In this study, we propose Dynamic Batch-Sensitive Adam (DBS-Adam), an optimiser that dynamically scales the learning rate using a batch difficulty score derived from exponential moving averages of gradient norms and batch loss. DBS-Adam improves training stability and accelerates convergence by increasing updates for difficult batches and reducing them for easier ones. We evaluate DBS-Adam by integrating it …

Genpix: A Diverse Dataset For Fake Image Detection, Guessoum Dalila, Benblidia Nadjia, Boumahdi Fatima, Remmide Mohamed Abdelkarim, Nouri Tarek-Amine, Bataouche Azeddine-Lotfi

Iraqi Journal for Computer Science and Mathematics

The rapid advancement of sophisticated generative models has intensified the need for robust fake image detection systems. However, many existing benchmark datasets suffer from limited diversity in content types and generation techniques, constraining the generalization ability of detection models. To address these limitations, we introduce GenPix (Generalized Pixels), a comprehensive dataset encompassing over 80,000 images spanning diverse categories, including faces, objects, and scenes, generated by multiple state-of-the-art models such as Generative Adversarial Networks (GANs) and diffusion-based architectures. The dataset includes samples from different generation methods to ensure broad coverage of fake image characteristics.

GenPix provides a realistic evaluation environment that …

Eyolov8-Msaff: An Enhanced Object Detection Algorithm With Multi-Scale Attention And Feature Fusion For Small And Dense Object Detection In Uav Applications, Mohammed Hasan Mutar, Morteza Valizadeh, Alaa Hussein Abdulaal, Mehdi Chehel Amirani

Iraqi Journal for Computer Science and Mathematics

The proliferation of unmanned aerial vehicles (UAVs) has necessitated the development of sophisticated object detection algorithms capable of handling the unique challenges posed by aerial imagery. Traditional detection methods often struggle with small object sizes, dense distributions, and complex backgrounds characteristic of UAV-captured scenes. This research presents EYOLOv8-MSAFF (Enhanced YOLOv8 with Multi-Scale Attention and Feature Fusion), a novel deep learning architecture specifically engineered for superior performance in UAV-based object detection tasks. The proposed methodology integrates four innovative components: a Hybrid Spatial-Channel Attention Mechanism (HSCAM) that processes attention information in parallel rather than sequentially, an Adaptive Multi-Scale Feature Fusion Module (AMSFFM) …

A Novel Hierarchical Multi-Scale Attention Mechanism For Enhanced Yolov8 Performance In Unmanned Aerial Vehicle-Based Small Object Detection, Mohammed Hasan Mutar, Morteza Valizadeh, Alaa Hussein Abdulaal, Mehdi Chehel Amirani

Iraqi Journal for Computer Science and Mathematics

Object detection in Unmanned Aerial Vehicle (UAV) images presents significant challenges due to the prevalence of small and densely packed objects, as well as variations in scale, orientation, and lighting conditions. This paper introduces a novel object detection algorithm, Hierarchical Multi-Scale Attention YOLO (HMSA-YOLO), which is an improved version of YOLOv8 designed to address these challenges. The proposed method incorporates a novel Hierarchical Multi-Scale Attention (HMSA) module, a Bidirectional Feature Pyramid Network (BiFPN) for enhanced feature fusion, a modified loss function, and an adaptive anchor optimization technique. The HMSA module effectively captures both channel and spatial dependencies at multiple scales, …

Implications Of Similarities And Differences Amongst Media Literacy Skills And Trust Across Communities Of Color, Erica Weintraub Austin, Nadia Ishrat Alamgir, Alexandra Elenitsa Fil, Sultana Ismet Jerin, Di Mu, Albert Junior Nyarko, Folake Racheal Okor, Pearl Omolara Oladele, Hae Yeon Seo, Andrew D. Sutherland

Journal of Media Literacy Education Pre-Prints

A 2020 survey of U.S. adults found that nonwhite respondents tended to report lower levels of media literacy than white respondents. However, their media literacy skills were associated with better COVID-19 knowledge and less acceptance of COVID-19 disinformation. This secondary analysis of the dataset (N=1264) explored how aspects of media literacy and media trust varied across communities of color. No significant differences in online information efficacy were found. White respondents scored higher than Hispanic/Latiné and Native American/Indigenous respondents on media literacy for source, and higher than Black and Hispanic/Latiné respondents on media literacy for content. White respondents also …

Hotter Than The Fire: Analysis Of Indonesia's Forest And Peatland Fire Policy Contention, 2015–2024, Dede Setiono, Nunuk Retnandari, Putri Wulandari

Forest and Society

The catastrophic forest and peatland fires of 2015 served as a critical juncture for Indonesia, catalyzing an unprecedented wave of policy reforms aimed at fire prevention and ecosystem restoration. Despite this, major fire events recurred in 2019 and 2023, exposing a persistent gap between policy ambition and on-the-ground reality. This article investigates the underlying reasons for this continued policy failure. This study employs a qualitative, interpretive approach, drawing on 25 in-depth, semi-structured interviews with key stakeholders across government, the corporate sector, civil society, and local communities conducted between 2023 and 2024. The analysis reveals that Indonesia's fire crisis is not …

Selective Factors Impacting Charter High School Enrollment, Nathan Marshall

Theses and Dissertations

This study examined factors influencing high school choice among Utah families, comparing parent priorities between charter and traditional public high schools. Using one-way ANOVA with Tukey honestly significant difference (HSD) post hoc comparisons, parental priorities were analyzed across personal, school community, and academic factors. Parents choosing traditional public high schools rated personal and school community factors significantly higher, emphasizing relationships and school climate, while charter high school parents rated academic factors significantly higher, favoring rigor and instructional quality. Charter parents' priorities were not uniform, however, but varied significantly by school model, suggesting that the charter-versus-traditional divide masks meaningful differences within …

Matthew Milisits V. Superintendent Benner Township Sci

2026 Decisions

USDC for the Western District of Pennsylvania

Environmental Exposure Risk Education To Enhance Chronic Kidney Disease Prevention And Screening For Nurse Practitioners, Kelsea J. Carrier

Doctor of Nursing Practice Scholarly Projects

Chronic kidney disease (CKD) affects approximately 36 million adults in the United States, with nearly 90% of individuals unaware of their diagnosis until advanced stages. While diabetes and hypertension remain the primary causes, increasing evidence highlights environmental exposures as significant and underrecognized contributors to CKD onset and progression. Exposures such as heavy metals, per- and polyfluoroalkyl substances (PFAS), air and water pollution, microplastics, and heat exposure have been linked to impaired renal function. Despite this growing body of evidence, environmental health content remains limited in nursing education, resulting in gaps in environmental health literacy (EHL) among nurse practitioners (NPs) and …

Unscripted Urban Interior, Paramita Atmodiwirjo, Yandi Andri Yatmo

Interiority

The urban interior has emerged as a site of unscripted performance. The unscripted urban interior can be understood as a dynamic field where spatial conditions, social practices, and temporal change interact to produce emergent and contingent spatial realities beyond the original script. Through unscripted performance, the urban interior becomes a site of transformative potential, where various forms of practices emerge to transform, appropriate, and mediate the situations. The articles in this Interiority issue highlight the indeterminate characters of the urban interior and the possible transformation practices emerging from such urban contexts through various techniques and media that create distinctive values …

Unplanned Public Nature Interiority, Kendra Locklear Ordia

Interiority

This paper advances a theory of urban interiority through the concept of public nature interiority, integrating ecological thinking into the spatial, sensory, and temporal conditions of exterior spaces that feel interior. Drawing on works by Tine Poot, Richard Sennett, Liz Teston, and Suzie Attiwill, it challenges binary distinctions between interior and exterior, emphasising relational and dynamic urban conditions. Using Attiwill's notions of collective individuation and an ecology of subjectivity, interiority is reframed as being shaped not only by human perception and experience with nature but also by biotic relations and multispecies interactions. The theory is situated within terrain vague—indeterminate, overlooked …

Performing Disobedience: Critical Spatial Heritage, Counter-Memory, And The Rewriting Of Medellín’S Public Space, Laura Balán

Interiority

This article examines the radical street performance practice of Bernardo Ángel Saldarriaga in Medellín, Colombia, as a site of political and epistemological transformation. Through ethnographic engagement with Saldarriaga—an ascetic artist who stages trance-based interventions in public space—the study analyses how his performances disrupt dominant narratives of history, identity, and citizenship. Drawing on political ontology, decolonial thought, and critical heritage studies, the article argues that Saldarriaga's work functions as a hybrid forum for negotiating plural knowledges and social imaginaries. His refusal of institutional funding, his embodied critique of state power, and his use of trance and possession rituals generate both affective …

Modern Psychology And The Religious Experience: Faith Or Just Institutionalization?, Darin Challacombe

Psychology Faculty Publications

A literature review of Paloutzian’s (1996) “Religious Experience” chapter in Invitation to the Psychology of Religion is presented by outlining and critiquing works cited. Specifically, the combination of three distinct theories (e.g., schemas, attribution, and attachment) is presented and evaluated. Using these three theories, empirical research that has been done in this field can be explained. However, the main component of these theories has to be present: faith. Faith needs to be seen as being the opposite of institutionalization; rather, events that are religious must have faith and cannot be completely explained by institutionalization concepts of groupthink and manipulation. Further, …

Determinants Of Patient Health Engagement In Post-Surgery Oral Cancer Patients, Tao-Wen Hsiao, Yu-Chi Chen, Shiow-Ching Shun, Hui-Ying Yang

International Nursing Research Congress (INRC)

Introduction: Patients with oral cancer often face persistent physical and psychological challenges after surgery, which may hinder their engagement in care. Identifying the determinants of patient health engagement (PHE) is essential for guiding targeted, supportive care interventions throughout the treatment trajectory. This study aimed to examine key determinants of PHE among post-surgery oral cancer patients.

Method: A cross-sectional study was conducted at a medical center in northern Taiwan. Postoperative patients were recruited using purposive sampling. Data were collected from medical records and structured questionnaires, including demographics, disease and treatment characteristics, communication ability, psychological distress, and PHE. Descriptive statistics, bivariate analyses …

Marginalized Youths Pathways Into Healthcare: Hands-On Workshops As A Catalyst For Empowerment, James Ehiagwina

International Nursing Research Congress (INRC)

Background: There is a disparity in the representation of individuals from marginalized and racialized backgrounds across healthcare professions (Keisha et. al, 2022). These disparities reflect ongoing barriers to access and a lack of relatable representation. Engaging workshops in healthcare professions have the ability to foster identification and inspiration for marginalized youths (Kendrick et. al, 2020).

Objective: To address these gaps, the CBNA-YorkU, a student-led organization, developed a summer workshop for marginalized youth to introduce nursing as an achievable career, promote a sense of possibility, and spark interest in post-secondary education.

Description: Building on the success of the 2024 inaugural workshop, …

More Than A Voice: Interpreters As Cultural Brokers In Serious Illness Conversations, Katherine Doyon, Sadia Abdulkadir, Sarah Darney, Sunny Smart, Hannya Ornelas, Alice Mwamba, Adebusola Oluwatoba-Adeyemi

International Nursing Research Congress (INRC)

Background: In serious illness and end-of-life care, effective communication is critical to honoring patients’ values and goals. For patients with refugee backgrounds, healthcare encounters may also evoke distress or (re)traumatization due to past experiences of displacement, persecution, or medical mistrust. Interpreters are essential in facilitating understanding and emotional safety. Yet, their role often extends beyond that of neutral language conduits, they act as cultural brokers, bridging cultural and religious divides, buffering emotions, and fostering trust between refugees and the healthcare team.

Objective: To explore how medical interpreters experience their role as cultural brokers in serious illness conversations.

Methods: A 126-minute …

From Didactic To Digital: Using Animated Videos To Transform Health Education In Nursing Informatics, Fiona Wing Ki Tang, Ricky Ahmat, Winnie Kwok Wei So, George Pak Kin Yau, Sally Wai Sze Lo

International Nursing Research Congress (INRC)

Background: The integration of multimedia in clinical settings is rapidly expanding. Animated videos are effective in enhancing clients understanding across diverse health topics (Feeley et al., 2023). The post-COVID-19 era has accelerated the demand for remote health education. It is vital to equip nursing students with the competency to develop engaging animated health education resources (Brown et al., 2020; Risling, 2017). In a postgraduate nursing programme, a blended learning approach featuring micro-modules with animated content and video production workshops was implemented to enhance students’ competency and self-efficacy in nursing informatics.

Methods: A quasi-experimental with pretest-posttest design was employed. Four animated …

Exploring Adherence Barriers To Nutrition Intervention: A Qualitative Study Of The Pro-Heart Trial, Andrew Thomas Reyes, Angelina Nguyen, Alona D. Angosta, Rebecca Meraz, Kelly L. Wierenga, Jennifer Kawi, Lorraine S. Evangelista

International Nursing Research Congress (INRC)

Altering the dietary habits of individuals with obesity, heart failure, and cardiometabolic comorbidities can enhance their health outcomes (Gjermeni et al., 2025). Adhering to these interventions remains challenging, leading to higher dropout and lower retention rates in clinical nutrition trials (Chao et al., 2021). To develop enduring, patient-focused interventions, it is essential to understand participants' experiences. Therefore, this qualitative sub-study explored participant-reported barriers to dietary adherence within the Pro-HEART randomized controlled trial, which evaluated the effects of high-protein versus standard-protein diets in individuals with heart failure and metabolic syndrome or Type 2 diabetes mellitus. The intervention in the Pro-HEART trial …

Curriculum Integration Of High-Consequence Infectious Disease Preparedness In Nursing Education, Shinu Joy, Corri Levine, Kimberly Rumsey

International Nursing Research Congress (INRC)

Infectious threats with pandemic potential are occurring more frequently, emphasizing the need to prepare the next generation of healthcare professionals for safe, effective management of complex cases. The health system serves as one of 13 federally funded Regional Emerging Special Pathogen Treatment Centers (RESPTCs) and the only one in the Health and Human Services (HHS) Region 6. The on-site Biocontainment Care Unit (BCU) is designed to care for patients with high-consequence infectious diseases (HCIDs). The Special Pathogens Excellence in Clinical Treatment, Readiness, and Education (SPECTRE) Program supports this mission by providing comprehensive training for professionals and students in the recognition, …

Preparing Patients Without Caregivers: Nursing Strategies For Safe Discharge To Home, Christine Rae Platt, Alycia Bristol, Hannah Wilkerson, Susy Vega, Deedee Long, Catherine Elmore, Andrea Wallace

International Nursing Research Congress (INRC)

Background: Hospital discharge represents a critical transition in care, particularly for individuals without caregiving support. Patients who identify as having “no one to help” face heightened vulnerability to complications and rehospitalization. Understanding how nurses can identify and address these gaps is essential to reducing post-discharge complications and readmissions.

Purpose: To explore from the patient perspective how nurses can effectively prepare patients, who have no identified caregivers, for discharge home.

Methods: A qualitative descriptive design was used. Semi-structured interviews were conducted with 16 adults recently discharged from a large metropolitan hospital in the western United States who reported having no one …

Trajectories Of Compassion Competence Among Clinical Nurses: A Longitudinal Study, Eunkyo Lee, Sunghee Park, Youngjin Lee

International Nursing Research Congress (INRC)

Purpose: This study aimed to identify distinct trajectories of compassion competence among clinical nurses and to examine demographic and psychosocial characteristics associated with each trajectory.

Background: Compassion competence is a vital attribute in nursing practice, encompassing cognitive, emotional, and behavioral capacities that enable empathetic, patient-centered care. Although compassion competence is recognized as essential to both care quality and nurse well-being, limited longitudinal evidence exists on how it develops over time. Identifying its trajectories and influencing factors is crucial for designing interventions that sustain compassionate care and workforce resilience.

Methods: A longitudinal cohort study was conducted with clinical nurses in South …

Lived Experiences Of Noise Exposure And Hearing Loss Among Native Americans, Melessa N. Kelley, Rose Wimbish-Tompkins, John Lowe, Camila Solorzano-Barrera, Oi Saeng Hong

International Nursing Research Congress (INRC)

Noise-induced hearing loss (NIHL) is an irreversible chronic condition resulting from prolonged exposure to loud noise and represents a major global public health concern. Native American (NA) populations are particularly vulnerable due to social and occupational determinants that increase exposure to high-noise environments, including construction, manufacturing factory, farming, and forestry. Hearing health has deep cultural importance for NAs, as oral communication is central to transmitting traditional knowledge and cultural teachings. Despite this, limited research has examined noise exposure, hearing protection practices, and the lived experiences of hearing loss within NA communities.

This study explores NA tribal members’ experiences with noise …

Effects Of Family-Based Frailty Self-Management Program On Caregivers Of Patients With Heart Failure, Yung-Ching Yang, Ai-Fu Chiou

International Nursing Research Congress (INRC)

Background: Family caregivers of patients with heart failure often experience decreased confidence in caregiving due to limited heart failure knowledge, the complexity of patient's condition and treatment, and insufficient social or professional support. These challenges can adversely affect caregivers' quality of life.

Objective: The study examined the effects of a family-based frailty self-management program (FRAIL-SM) on knowledge, self-care confidence, strain, and quality of life among family caregivers of patients with heart failure.

Methods: A randomized controlled trial was conducted with 116 pairs of frail patients with heart failure and their family caregivers recruited from two medical centers in Taiwan. Participants …

Limited Australian Clinical Guidelines For Pain Assessment In Hospitalized Older Adults With Cognitive Impairment: Implications For Safe And Quality Care, Rosemary Saunders, Kaoru Nosaka, Seng Giap Marcus Ang, Natasya Raja Azlan, Aaron Alejandro, Rohini Sharma Bhardwaj, Olivia Gallagher, Irene Ngune, Amineh Rashidi, Yan Hui Celestine Wee, Nilufeur Mckay

Research outputs 2022 to 2026

Introduction – Pain assessment remains challenging in healthcare settings in patients who are unable to self-report their pain. More than 50% of individuals with dementia and other forms of cognitive impairment (CI) experience pain daily. However, pain is frequently overlooked and inadequately assessed by healthcare professionals due to their lack of knowledge and guidelines to inform pain assessment. Pain is also a leading cause of hospital presentation and inappropriate pain assessment can impact on pain management and compromise safe and quality care. Evidence-based guidelines that inform appropriate pain assessment and management are therefore essential. This scoping review aimed to explore …