Digital Commons Network^™

What Drives Indonesian Muslims To Waqf? An Analysis Of Behavioral Intention Toward Cash Waqf Linked Deposit (Cwld), Abdullah Zaid Khoiri, Kenny Devita Indraswari, A. Azizon, Tika Arundina

International Journal of Islamic Economics and Business Sustainability

Purpose – The purpose of the paper is to find out the factors that affect the intention of Indonesian Muslims to participate in Cash Waqf Linked Deposit (CWLD), a new Islamic banking product that combines cash waqf and sharia time deposits, launched in Indonesia in late 2023 to help overcome the gap between the potential cash waqf in the country and its actual collection.

Design/methodology/approach – This study employed an Extended Theory of Planned Behaviour (TPB) model which included religiosity, knowledge, trust and perceived benefit in addition to attitude, subjective norm and perceived behavioural control. The primary data were …

The Effect Of External Debt On Environmental Degradation Indicators: Case Studies Of Oic Countries, Fandy Fadillah, Nur Dhani Hendranastiti

International Journal of Islamic Economics and Business Sustainability

The current climate problem has a real impact on human life in which humans have also contributed to exacerbating this problem. One activity that can contribute to environmental degradation is through debt, including external debt, that can be used as financing instrument for development projects that exploit resources. On the other hand, the use of debt can also be advantageous for environment if it is used for financing green projects. The use of external debt becomes more debatable for OIC countries, as Islam has particular rules in how debt can be used. Hence, this study aims to observe the existence …

Neutrosophic Time-Truncated Acceptance Sampling Plans Based On The Exponentiated Weibull Distribution For Reliability Applications, Divya P.R., Preethi John

Neutrosophic Systems with Applications

Classical acceptance sampling plans require precisely specified parameter values, an assumption routinely violated by measurement uncertainty and gauge imprecision in practice. This article develops Neutrosophic Time-Truncated Acceptance Sampling Plans (N-TTASP) for the Exponentiated Weibull (EW) distribution by representing the scale parameter as a neutrosophic interval. The neutrosophic sample size n_N ∈ [n_L, n_U] and acceptance number c_N ∈ [c_L, c_U] are obtained by minimizing n_U subject to dual producer and consumer risk constraints on the neutrosophic Operating Characteristic interval. A new indeterminacy ratio η is introduced as a …

Evaluating Generative Ai-Based User Interfaces Using An Integrated Neutrosophic Multi-Criteria Decision-Making Framework, Nada Mohamed, Alshaimaa A. Tantawy

Neutrosophic Systems with Applications

User Interface (UI) design can be seen as an essential aspect of human-computer interaction (HCI) and makes communication easier between people and technology. In today's digital economy, interface quality has become one of the most important business concerns, since it has a direct impact on customer satisfaction and retention while affecting revenue. Although creating user-centered and accessible interfaces is crucial, doing so is a difficult and time-consuming process, which leads to burnout for many usability professionals. Although conventional artificial intelligence (AI) was utilized for design assessment and automation, the arrival of generative AI technology has created new possibilities for automated …

Decision Making For Community Resilience: Applications In Flooded Transit Systems And Shared Housing, Mubarak Iddrisu

Graduate Doctoral Dissertations

Addressing climate-induced flooding and housing insecurity requires decisions that are technically sound, locally meaningful and feasible to implement. In public transit systems, flooding can damage infrastructure, increase travel time and reduce access to essential destinations, especially for older adults. Shared housing offers an alternative housing model where staff must balance affordability, compatibility, service exchange and participant choice when pairing home providers with housing seekers. In this dissertation, I examine how analytics and decision modeling can support community resilience across these two domains. I use spatial analysis, machine learning, optimization and matching theory to develop practical decision-support workflows. Chapter 2 proposes …

City Branding. Estrategias Y Propósitos En La Escenificación De La Ciudad, Verónica Meléndez Valoria

Artículos científicos

Las ciudades, especialmente en su desarrollo de los últimos cien años, han sido objeto de múltiples propósitos, convertidas en demostraciones de poder, símbolos de progreso e innovación, motores económicos y ensayos de nuevas formas de vida urbana.En tiempos recientes, el concepto de city brandingha introducido un cambio clave: la ciudad no es solo un soporte físico, sino portadora de una identidad propia o proyectada. Esto trasciende ciertos atributos tangibles —edificios, fachadas, diseño urbano—e invita a considerar dimensiones culturales, sociales y simbólicas. Este enfoque plural resulta relevante ante la previsión de crecimiento de las megaciudades, la preferencia por la ciudad, y …

A Comparative Study Of Deep Learning Models For Water Quality Prediction, Doaa El-Shahat, Mohamed Ismail

Sustainable Machine Intelligence Journal

One of the most important challenges in the recent period, and one that still presents a significant challenge, is sustainable management of water resources and accurate prediction of water quality to address increasing pollution and climate changes. Therefore, our study aims to address the complexity and noise in water quality data with time dependencies in water quality data in order to provide a more accurate prediction of water quality by evaluating and comparing six of the latest and most powerful deep learning models that have been recently developed, namely: VBAED, SA-LSTM-LOADEST, LWQformer, ESWT-IE-SBiLSTM, DPSGT, in addition to the CNN-CRNN-M5T model. …

Recoverable Agentic Ai For Communication Networks: A Survey Of Architectures, Trust Regulation, And Failure Recovery, Omar K. Dawoud, Osama A. Ghoneim

Sustainable Machine Intelligence Journal

Agentic artificial intelligence is increasingly integrated into communication networks, enabling systems that perceive network state, reason over conditions, and execute actions on live infrastructure. As these systems act directly on operational environments, their behavior after failure remains insufficiently characterized: existing evaluation emphasizes throughput, latency, and accuracy, without capturing how systems recover after actions that affect network state. This survey examines agentic artificial intelligence in communication networks through the lens of recoverability, based on a systematically coded corpus of the recent literature. The paper introduces the MATR-R framework, which organizes recoverability around memory awareness, action governance, trust regulation, and recovery capability. …

Toward Trustworthy Ai-Enabled Smart Healthcare: A Multi-Layer Taxonomy Of Data Modalities, Model Families, Clinical Applications, And Real-World Deployment Challenges, E. A. Zanaty, Asmaa H. Abd El-Rahiem

Sustainable Machine Intelligence Journal

Artificial intelligence (AI) is increasingly reshaping healthcare through predictive analytics, medical imaging, remote patient monitoring, clinical decision support, and personalized care. Despite rapid progress, the literature on AI-enabled smart healthcare remains fragmented across data modalities, model families, clinical tasks, trustworthiness requirements, and real-world deployment challenges. This review addresses this fragmentation through a taxonomy-based synthesis of AI-enabled smart healthcare systems supported by a systematic literature search. The review proposes a multi-layer taxonomy spanning healthcare data modalities, AI model families, clinical application domains, trustworthiness attributes, and deployment readiness. The reviewed evidence covers major healthcare data sources, including electronic health records, medical imaging, …

Adasel: Adaptive Attention-Based Stacked Ensemble Learning With Explainable Ai Framework For Earthquake Alert Level Classification System, Alaa Desukey, Ahmed M. Abdelmouty

Sustainable Machine Intelligence Journal

Earthquakes are one of the most life-threatening natural events, and scientists are always concerned about their forecast. Standard machine learning (ML) algorithms have difficulty earthquake alert level classification (EALC) problem. The study presents an ADASEL framework for EALC. The data is merged using a stacked ensemble learning approach, including base learners and meta-models. The basic learners include Extra Tree, random forest (RF), lightGBM, XGBoost, CatBoost, and Gradient Boosting. The outputs are optimized using an attention-based multilayer perceptron meta-model (MLP), LSTM, and Transformer. The technique was tested using earthquake dataset. The data preprocessing steps are applied to enhance quality of the …

The Use Of A Sepsis Escape Room Simulation To Enhance Undergraduate Nursing Student's Clinical Judgment, Alaina Peterson

Dissertations

Background: Less than 10% of new graduate registered nurses meet practice-ready expectations for clinical judgment competencies, and 52% of critical care nurses are unable to adequately define sepsis. Traditional clinical rotations offer inconsistent exposure to high-acuity, low-frequency events such as sepsis, leaving new graduates unprepared for independent practice. Escape room simulations use the proven effectiveness of high-fidelity simulations with gamification to develop clinical judgment through active learning, teamwork and problem-solving.

Objective: The purpose of this project was to determine the effectiveness of a sepsis escape room simulation to improve perceived clinical judgment skills of undergraduate nursing students. The intervention was …

Beyond Office-Seeking: Pks Opposition Strategy In Indonesia’S Multiparty Presidentialism, Amri Yusra, Lili Romli, Valina Singka Subekti

Jurnal Politik

This article examines the opposition strategy of the Prosperous Justice Party (PKS) in Indonesia’s multiparty presidential system during President Joko Widodo’s administration. Departing from the weakening of opposition caused by the expansion of the governing coalition and the tendency toward party cartelization, this article addresses the question of why PKS chose to maintain its opposition stance while most political parties joined the government. This study employs a qualitative approach with a theory-refining case study design. Data were collected through interviews with PKS elites and political observers, official party documents, parliamentary records, electoral data, media reports, and academic literature. The analysis …

How Psychological Capital Promotes Student Flourishing: Mediating Effects Of Career Adaptability And Study Engagement, Sana Nisar, Adnan Adil, Sultan Shujja, Samina Rashid

Journal of Social, Behavioral, and Health Sciences

In today’s rapidly evolving academic and occupational landscape, understanding the psychological resources that support student well-being is critical. This study investigates the predictive role of academic psychological capital (PsyCap) in fostering flourishing among Pakistani university undergraduates, specifically identifying the mediating mechanisms of career adaptability and study engagement. Grounded in career construction theory and the JD-R model, the research contributes to theory by positioning PsyCap as a key personal resource that facilitates adaptive capacity and meaningful engagement. Data from 350 undergraduates in public-sector universities were analyzed using path analysis. Results revealed that PsyCap significantly predicted flourishing (β = .35, p …

Leveraging Generative Artificial Intelligence To Effectively Implement School Counseling Interventions And Programs, Jeffrey M. Warren

Journal of Technology in Counselor Education and Supervision

Academic and mental health concerns persist in K-12 schools across the country. School counselors play a central role in addressing these issues and supporting the academic success, social/emotional development, and college and career readiness of all students. However, school counselors face numerous barriers when promoting student success. Making matters worse, emerging literature suggests that school counselors lack a clear understanding of how to implement programs and interventions effectively. Artificial intelligence can play a vital role in helping school counselors deliver effective and efficient services. This article provides overviews of implementation science and generative artificial intelligence. A case example and analysis …

Editors' Note, Sherry Wynn Perdue, Isaac K. Wang, Georganne Nordstrom

The Writing Center Journal

Editors' note for Writing Center Journal 44.1 (2026).

“We Are Writers At The End Of The Day”: Institutional Support, Accountability, And Community In Writing Groups For Faculty Of Color, María P. Carvajal Regidor

The Writing Center Journal

This article provides insight into how an accountability writing group for faculty of color supports faculty writers. It argues that targeted programming for faculty of color can serve as a modest anti-racist intervention into the white supremacist structures that often harm BIPOC faculty and their success in academia. Examining interview, survey, and registration data from a writing group for faculty of color, the article shows how the writing group functions as a counterspace, enabling participants not only to spend more time on their writing but to bring their full selves into an academic space and to form community. The article …

The Self-Identified Strategies Of Asynchronous Writing Tutors, Eric C. Camarillo

The Writing Center Journal

This study explores the self-identified strategies of asynchronous writing tutors, focusing on how they provide feedback in an online environment. The research addresses the underexplored area of asynchronous writing tutoring, which is often marginalized due to its perceived lack of interpersonal interaction. Through semi-structured interviews and screen recordings of seven writing tutors from three different institutions, the study identifies key strategies employed by tutors. These strategies include managing workloads, relying on intuition, building rapport with students, and seeking support from other tutors. The findings highlight the complexity and labor-intensive nature of asynchronous tutoring, emphasizing the need for thoughtful evaluation and …

“Like Learning To Play Chess”: Relationality And The Development Of Interpersonal Communication Skills In Writing Center Consultants, Kara Poe Alexander

The Writing Center Journal

This study explores how writing center consultants develop interpersonal communication (IPC) skills through relational interactions during peer tutoring sessions. Grounded in the theoretical framework of relationality, which views learning as emerging through relationships, I analyze interviews with undergraduate and graduate consultants at a private R1 university. The findings demonstrate that one-on- one conferences foster a broad spectrum of IPC skills, including adaptability, listening, intercultural communication, asking questions, building rapport, giving constructive criticism, setting boundaries, empathizing, and patience. The development of these knowledge and skills is cultivated through collaborative, meaning-making interactions with writers. As such, writing centers emerge as dynamic, relationship-driven …

Foreword From Editors - 19th Edition: Community Stewardship Towards Sustainable Futures, Yandi Andri Yatmo, Kristanti Dewi Paramita, Rini Suryantini

ASEAN Journal of Community Engagement

The discussions highlighted from the articles in this AJCE edition focuses on the institutionalization, process, and implication of community in stewarding their living environment. Such focus expands the community engagement discourse, highlighting how the act of stewardships creates a sense of shared responsibility of actors to their shared spaces and resources. In turn, this shared responsibility enables the community to shift from passive act of participation to active empowerment, creates social cohesion, and establishes local governance. Such a shift towards active empowerment and shared responsibility is the key in building systemic resilience, towards a more sustainable future for society.

Systematic Review Of The Institutionalization Of Service Learning In Higher Education, Wilmer Hernan Cruz Gutierrez

ASEAN Journal of Community Engagement

An increasing number of universities are integrating service-learning (SL) to fulfill their social mission. However, sustainable institutionalization of SL remains a persistent challenge. This study identifies and analyzes the factors, actors, and strategies that drive and inhibit SL institutionalization in higher education. Using the PRISMA 2020 guidelines, a systematic literature review analyzed 52 documents from seven academic databases (including WoS, Scopus, and ERIC). The findings were grouped into three sections: cultural (integration into institutional values/missions), process (articulation within teaching, research, and outreach), and structural dimensions (dedicated support entities). The results obtained reveal a reciprocal relationship where cultural alignment enables processual …

Ethnographic Insights Into Community-Based Circular Economy: The Case Of Waste Banks In Semarang, Rahoyo Rahoyo, Teti Susilowati, Sri Purwantini, Darto Sachius, Wilson M. A. Therik

ASEAN Journal of Community Engagement

The linear economy model has led to severe environmental degradation, prompting a shift toward the circular economy (CE) framework to promote sustainability. However, CE literature often overlooks grassroots, community-based initiatives in urban contexts, particularly in the Global South. This study addresses that gap by examining waste banks in Semarang, Indonesia, highlighting the critical importance of these grassroots initiatives within the broader discourse of community engagement. Using an ethnographic approach, data were collected through in-depth interviews, field observations, and open-ended survey responses across multiple community waste banks. The findings reveal the complex interdependence of four key actors—waste banks, itinerant collectors, scavengers, …

Payment For Forest Environmental Services For Sustainable Coffee Production: Engaging Stakeholders’ Perspectives, Quyen Nguyen Thi Ngoc, Vung Nguyen Xuan, Nam Vu Hai, Cuong Nguyen Thuy, Nghi Tran Huu, Thang Tran, Thuy Phan Thi

ASEAN Journal of Community Engagement

Engaging the community becomes crucial for environmental payment mechanisms as their implementation depends on the participation and coordination of beneficiaries, businesses, public agencies, and local resource users. Departing from this belief, this study examines the potential for expanding Vietnam’s Payment for Forest Environmental Services (PFES) program to the coffee sector, with a focus on sustainable production. Using a mixed-method approach, the study assessed consumers’ perceptions of forest environmental services and their willingness to pay for PFES-supported coffee, while also examining stakeholder perspectives on a potential implementation mechanism. Data were collected from a survey of 457 customers in Dak Lak province …

A Bioecological Policy Analysis Of Trauma-Informed Practice: Implications For Families, Schools, And Communities, Anglin P. Thevaraja, Miriam R. Linver, Pearl Stewart, Kira Chontow

Department of Family Science and Human Development Scholarship and Creative Works

Objective: This study examined trauma-informed practice (TIP) legislation introduced across the United States in 2022, identifying policy trends and evaluating the influence of political affiliation on TIP implementation, particularly in education settings.

Background: Childhood trauma affects emotional regulation, learning, and long-term health. Although TIP has gained national attention, there is no standardized federal framework, resulting in inconsistent support for students across states.

Methods: Using secondary data from the Institute on Trauma and Trauma-Informed Care, 313 TIP-related legislative proposals were analyzed. Thematic analysis identified key focus areas, and chi-square tests examined relationships between legislative control, policy adoption, and school-focused legislation.

Results: …

Educator Perspectives Of Available Special Education Transition Programming Through High School Career And Technical Education Organizations For Female Students In Self-Contained Classrooms, Cassandra L. Aungst

Theses and Dissertations

The problem addressed in this study was that there is a lack of research regarding alignment between special education student transition assessments, transition goals, and transition programming and specifically those who identify as female students. While career readiness programs are accessible to all students, regardless of gender, female students in special education remain underrepresented in career and technical education programs. The purpose of this research was to review educational practices that influence female students with disabilities in relation to their individualized education plan transition goals and programming by addressing (a) educators’ perceptions, (b) systemic challenges, and (c) policy gaps influencing …

Digraphicsoft Sets And Bidigraphicsoft Sets: Directed And Bidirected Extensions Of Graphicsoft Modeling, Takaaki Fujita, Ajoy Kanti Das, Suman Das, Sankar Prasad Mondal, Volkan Duran, Mithun Datta

Neutrosophic Systems with Applications

Uncertainty has been modeled through a wide variety of mathematical frameworks, including fuzzy sets, neutrosophic sets, rough sets, and plithogenic sets. Among these approaches, soft sets offer a parameterized representation of uncertain information and have inspired numerous extensions, such as multisoft sets, double-framed soft sets, hypersoft sets, SuperHyperSoft sets, TreeSoft sets, ForestSoft sets, IndetermSoft sets, and IndetermHyperSoft sets.
This paper focuses on GraphicSoft Sets, which extend the classical soft-set framework by assigning a subset of the universe to each subgraph of an attribute graph. In this way, relationships among attributes are incorporated directly into the parameterized model. Building on …

From Minimum To Meaningful: A Use Of Force Training Regimen For Rural Police Departments, Joseph Corley

Dissertations, Theses, and Projects

This paper examines how small and rural law enforcement agencies can improve use of force training despite limited staffing, budgets, and training opportunities. Current Minnesota POST Board minimum standards establish baseline requirements but allow significant variation in how agencies develop and deliver training, contributing to inconsistent officer preparedness and skill retention. Drawing on current research in police training, motor skill retention, and scenario based learning, this paper argues that infrequent, skills based training is insufficient for preparing officers to manage dynamic, high risk encounters. The paper proposes an evidence based training regimen centered on two department led use of force …

Select Plasma Oxylipins As Potential Biomarkers Of Effective Indomethacin Treatment Response In Preterm Infants With Patent Ductus Arteriosus., Khanh C K Nguyen, Cindy H T Yeung, Allison Scott, Thomas J. Velenosi, Tamorah Lewis

Manuscripts, Articles, Book Chapters and Other Papers

OBJECTIVES: Patent ductus arteriosus (PDA) is one of the most common heart conditions in preterm infants, and indomethacin treatment is used for PDA closure. However, its efficacy varies among patients. This pilot study aimed to identify novel metabolic biomarkers to predict effective indomethacin response in infants with PDA.

METHODS: Preterm infants with PDA <  34 weeks gestational age were recruited and treated with indomethacin. Plasma and urine samples were collected before and 2-7 days after initial treatment. Longitudinal targeted oxylipin and untargeted metabolomics analysis were performed on plasma and urine samples.

RESULTS: Among 17 infants, 12 were responders and 5 non-responders to indomethacin treatment. Before the treatment, four plasma oxylipins: 12,13-DiHOME, 9,10-DiHOME, 15,16-DiHODE, and 9,10-DiHODE were significantly higher in responders compared to non-responders (P <  0.05). Following treatment, these oxylipins decreased in responders but remained stable in non-responders. Urinary 12,13-DiHOME showed an opposite trend, with lower baseline concentrations in the responders.

CONCLUSIONS: Pre-treatment plasma levels of four oxylipins were associated with effective PDA response to …

Psychological Needs And Ai Delegation Across Four Social Domains - A Cross-Cultural Analysis Of 35 Nations, Magnus Liebherr, Ala Yankouskaya, Mohamed Basel Almourad, Justin Thomas, Guandong Xu, Raian Ali

All Works

As artificial intelligence (AI) systems increasingly assume roles with social, educational, and emotional significance, understanding the psychological drivers behind individuals' readiness to delegate such roles to AI is crucial. Drawing on Self-Determination Theory (SDT), this study examines how the satisfaction of basic psychological needs (autonomy, competence, and relatedness) predicts individuals' readiness to delegate socially significant roles to AI across four domains (education, healthcare, mental health, and companionship) and 35 nations. Using data from over 35,000 participants in the 2023 Global Digital Wellbeing Survey, we applied Bayesian multilevel multivariate modelling to assess both global and culture-specific motivational associations. Results revealed that …

An Exploration Of Extension Professionals' Evaluation Experiences In Indigenous Contexts, Sara M. Tomis, J.C. Bunch, Amy Harder, T. Grady Roberts

Journal of Extension

Extension professionals evaluating programs that engage Indigenous youth face unique opportunities and challenges. The purpose of this study was to explore these professionals' evaluation experiences, with a focus on culturally responsive practice. We conducted a focus group comprised of professionals associated with the Federally Recognized Tribes Extension Program (FRTEP). Study findings revealed a need for enhanced support for FRTEP professionals conducting evaluations of programs for Indigenous youth audiences, as well as for more culturally responsive practice within the Cooperative Extension System.

A Community Planning Approach To Green Infrastructure And Hazard Mitigation, Kara Salazar, Daniel Walker, Carrie Mckillip

Journal of Extension

As communities seek to increase their resilience to climate change and natural hazards, integrating mitigation and adaptation solutions into local planning has become essential. Purdue Extension, the University of Illinois Extension, and Illinois–Indiana Sea Grant developed a program, funded by the Extension Disaster Education Network, which supports community-based updates to hazard mitigation and resilience planning, with an emphasis on green infrastructure. This paper highlights the lessons we learned after implementing the program in Hancock County, Illinois, and LaPorte, Indiana, and the toolkit we created, which provides engagement and education techniques, planning processes, and other resources to Extension professionals working in …