Digital Commons Network^™

Descriptive And Diagnostic Analysis Of Customer Complaints For Different Electric Companies Of Ecuador Using Neutrosophic Logic, Marco Arguello Arguello, Franklin Parrales Bravo, Roberto Tolozano Benites, Dayron Rumbaut Rangel

Neutrosophic Sets and Systems

This article presents a descriptive analysis of complaint and claim management by ARCONEL and Electricity Distribution Companies in Ecuador for the year 2023. The dataset includes information about complaint outcomes such as 'Procedentes' (resolved), 'No Procedentes' (dismissed), 'En Proceso' (pending), and 'Invalidado' (invalid). This analysis will examine the complaint dataset using neutrosophic logic, which extends traditional binary logic by incorporating indeterminacy. We apply Neutrosophic Logic to capture not only resolved and unresolved complaints, but also uncertainty in complaint status. Key findings reveal high median resolution rates (99.98%), yet notable disparities exist: Sierra region companies outperform those in Costa, and private …

Strengthening Reading Comprehension Through Affective Communication And Artificial Intelligence With Validation By Neutrosophic Numbers, Giselle Rodríguez Caballero, Rudy García Cobas, Elsy Rodríguez Revelo, Nidia María Cumbicus Castillo, Piedad Doraliza Cordero Cueva

Neutrosophic Sets and Systems

This investigation explores whether emotional communication empowered by artificial intelligence tools is needed for pedagogical integration for reading comprehension for Third Graders at Santiago Fernández García Educational Unit. Through Teacher interviews, classroom observations and pedagogical assessments, the investigator uncovered methodological insufficiencies that not only hinder the literal aspects of reading comprehension but also interpretative and critical aspects. Teachers hold a fortuitous upper hand regarding these advancements; however, test results show non-sufficient didactic planning geared toward emotional awareness strategy developments through artificial intelligence. Suggested artificial intelligence developments in this area show to be text generators or emotional detectors; however, this is …

A Neutrosophic Random Forest Framework For Uncertainty-Aware Classification Of Nursery School Applications, Franklin Parrales-Bravo, Roberto Tolozano-Benites, Manuel Reyes-Wagnio, Dayron Rumbaut-Rangel, Leonel Vasquez-Cevallos

Neutrosophic Sets and Systems

This paper presents a novel framework that integrates Random Forest classification with neutrosophic logic to address the challenge of uncertainty-aware decision-making in nursery school application processes. Using the publicly available Nursery dataset—which includes socio-familial attributes such as parental occupation, financial standing, and health conditions—the proposed model not only achieves high predictive accuracy (approximately 95%) but also quantifies uncertainty explicitly through neutrosophic sets defined by truth (T), indeterminacy (I), and falsity (F) membership degrees. This approach allows for a nuanced interpretation of classification confidence, distinguishing between clear-cut cases that can be automated and borderline instances requiring human expert review. By enabling …

Automated Ai Validation Of Neutrosophic Plithogenic Hypotheses In Multigrade Literacy Improvement, Isaac Roger Martínez, Débora Lucia Ponce Rivera, Maryuri Yvonne Guale Gómez, Rudy Garcia Cobas, Carlos Roberto Humanante Cabrera

Neutrosophic Sets and Systems

Literacy is acquired in multigrade classrooms in complicated scenarios because of varying literacy competencies and abilities and varied resources and materials. Thus, it's hard to determine if certain teaching interventions work. This is also a growing concern, a timely consideration, because as the institutions try to better the Quality of Education and prevent learning lags for multivariate classrooms are concerned. Yet the literature contains gaps where no direct attempt to stabilize teaching interventions is made despite the findings of many studies generating didactic interventions through the proceedings. Thus, this study fills the gap with an approach based upon hypothesis generation …

Neutrosophic Sets And Systems, Vol. 92, 2025, Florentin Smarandache, Maikel Yelandi Leyva, Mohamed Abdel‑Basset

Neutrosophic Sets and Systems

No abstract provided.

Structural Basis For Genome-Wide Site-Specific Dna Recognition By Nuclear Factor Ia, Ci Zhu, Ding Xiao, Zhipu Luo, Jie Zhang, Shuang Liu, Yueyu Wang, Xi Chen, Hejin Xiao, Xiaofeng Li, Juyu Tang, Xianyang Fang, Jie Shen, He Song

2020-Current year OA Pubs

Nuclear Factor IA, a member of the long-studied Nuclear Factor I family of DNA-binding proteins, plays pivotal roles in development and metabolism. Dysregulation or loss of Nuclear Factor IA is associated with severe neurological defects in humans and disruptions in fatty acid metabolism linked to conditions such as osteoarthritis. Despite extensive study, the DNA recognition mechanism of Nuclear Factor I family proteins remains unresolved. Previous studies have proposed that these proteins dimerize via their DNA-binding domains to bind TGGCA-containing dyad sequences. In this study, we demonstrate that both full-length Nuclear Factor IA and its isolated DNA-binding domain are monomeric in …

The Dynamics Of The G77, G7, G20, And Brics: Insights And Actions For Enhancing Asean’S Role In Global Economic Governance, Long Yang, Ploypailin Kijkasiwat

Asia-Pacific Social Science Review

In recent decades, the Global North and South have established a number of global economic governance (GEG) clubs, including the Group of 77 (G77), Group of 7 (G7), Group of 20 (G20), and BRICS (Brazil, Russia, India, China, and South Africa) Group, to influence the global economic order. Many sovereign countries and intergovernmental organizations have assumed influential roles in the GEG system by joining these governance platforms as full members. Recognizing ASEAN’s traditionally limited role in the global economic governance system, the authors suggest that ASEAN nations should strengthen their relationships with some of these governance clubs. This article discusses …

Basic Effectiveness Of Group Mindfulness-Based Cognitive Therapy (Gmbct) In The University Setting, John Robert C. Rilveria, Nisseth Clarize S. Carido, April Veronica G. Lansangan, Alaya Gabrielle N. Villaflor, Anna Cristina A. Tuazon, Divine Love A. Salvador, Violeta V. Bautista

Asia-Pacific Social Science Review

The COVID-19 pandemic has reshaped daily life and amplified mental health challenges worldwide, with university students identified as a particularly vulnerable group. To address this need, the present study evaluated the effectiveness of group mindfulness-based cognitive therapy (GMBCT) as an evidence-based intervention for students receiving psychosocial services during the pandemic. Using a pretest–posttest design, data from 34 students randomly assigned to either GMBCT or individual treatment-as-usual (TAU) provided by a university-based clinic were analyzed. To evaluate treatment effects, an analysis of covariance (ANCOVA) was conducted to compare post-treatment outcomes between the two groups while controlling for pre-treatment scores, treatment length, …

Exploring Societal Development: The Impact Of Social Innovation And Social Entrepreneurship - A Critical Review, Sneh Prabha, Satyaki Sarkar, Supriyo Roy

Asia-Pacific Social Science Review

In recent years, the emergence of social innovations and social entrepreneurship has dramatically influenced societal development. This paper explores the impact of synergizing social innovations and social entrepreneurship on various aspects of society, from economic policy to community resilience and societal development. Through a multidisciplinary lens, the research seeks an extensive review of social innovation and provides new solutions to entrenched social issues, whereas social entrepreneurship transforms these innovations into scalable initiatives that create meaningful change in society. While keeping traditional factors in mind, we explore the role of technology in developing new ways of working, the importance of collaboration …

Transient Neuromonitoring Changes And Delayed Vertebrobasilar Infarction Following Anterior Cervical Discectomy And Fusion: Illustrative Case, Jacob M. Chaisson, Jack A. Leoni, Ellery A. Hayden, Gabriel C. Tender, Amit K. Bhandutia

School of Medicine Faculty Publications

BACKGROUND: Anterior cervical discectomy and fusion (ACDF) is a common spinal procedure with a well-established safety profile. While direct vertebral artery injury is rare and typically recognized intraoperatively, delayed posterior circulation stroke is an even less common but major complication. In patients with risk factors for vascular disease, vascular stress from surgical manipulation may predispose them to thromboembolic events that are not immediately apparent. Transient intraoperative neuromonitoring (IONM) changes may represent early, underrecognized indicators of such vascular compromise. OBSERVATIONS: The authors present the case of a 61-year-old male who underwent elective three-level ACDF for degenerative cervical myelopathy. During cage placement, …

What’S In A Group: A Social Science Inquiry, Maria Caridad H. Tarroja

Asia-Pacific Social Science Review

No abstract provided.

Investigating Community Attachment, Quality Of Life, And Community Citizenship Behavior Toward Rural Tourism Development In Thailand, Supaporn Prasongthan, Pimonphat Rodtook, Jariya Supun, Rabhas Silpsrikul

Asia-Pacific Social Science Review

In rural tourism destinations, residents serve as representatives of the area, and their involvement in tourism and discretionary behavior contributes to the destination’s success. The objectives of this study were to explore the community citizenship behavior (CCB) model and to examine the relationship among residents’ attachment, quality of life (QOL), and five dimensions of CCB, including involving, keeping interpersonal harmony, protecting, helping, and recommending behavior, across two stages of rural tourism destinations in Thailand. A multivariate quantitative research method was employed. A total of 1,052 samples were retrieved from residents living in 10 selective rural tourism destinations, with 526 respondents …

The Economics Of Homelessness: A Quantitative Study On Homeless Willingness To Pay For Affordable Housing In Thailand, Peera Tangtammaruk, Nattapon Siwareepan, Jennifer Chavanovanich, Nartsupon Dumchuen, Thanee Chaiwat, Mattana Wongsirikajorn

Asia-Pacific Social Science Review

This study investigates the willingness to pay (WTP) for housing among homeless individuals in Thailand, using the contingent valuation method (CVM) and a structured choice experiment model. Data were collected through face-to-face interviews with 90 homeless individuals from Bangkok, Chiang Mai, and Khon Kaen. The study aims to understand the economic value that homeless individuals are willing to pay for various types of homelessness-related housing, as well as the factors influencing their WTP. The findings reveal that while most homeless individuals express a preference for affordable rental housing, their financial capacity remains limited due to low and unstable incomes. The …

Future-Ready Physicians: Exploring Medical Students’ Readiness, Attitudes, And Perceptions Of Healthcare Artificial Intelligence In Saudi Arabia, Hassan Abdulaziz Moria, Amirah Alatawi, Sharifah Alzahrani, Hyder Mirghani, Hisham Al Shadfan

Makara Journal of Health Research

Background: While the integration of artificial intelligence (AI) in healthcare has advanced globally, there is limited research on the preparedness of medical students in the Tabuk region of Saudi Arabia, particularly regarding their specific educational needs and cultural context. This study assessed medical students’ knowledge, attitudes, readiness, and confidence toward AI integration at the University of Tabuk, providing the first comprehensive analysis of AI readiness in this underrepresented northern region of Saudi Arabia.

Methods: A cross-sectional study was conducted among 261 medical students and interns across all academic years (1–6) at the Faculty of Medicine, University of Tabuk, …

Evaluating The Impact Of System, Information, And Service Quality On User Outcomes In Malaysian Public Hospitals: A Structural Equation Modeling Approach, Muhd Siv Azhar Merican Abdullah, Azimatun Noor Aizuddin, Mohd Rizal Abdul Manaf

Makara Journal of Health Research

Background: Increasing use of hospital information systems (HIS) underscores the need to evaluate their impact on User Satisfaction and Perceived Net Benefits. This study investigated the connections among outsourced System Quality, Information Quality, Service Quality, Perceived Usefulness, User Satisfaction, and Perceived Net Benefits in the context of Malaysian public hospitals.

Methods: Data were collected from 1,376 healthcare personnel across six public hospitals and analyzed using structural equation modeling through analysis of moment structures grounded in the DeLone and McLean Information Systems Success Model.

Results: System and Service Qualities significantly influenced User Satisfaction and Perceived Usefulness, while Information Quality impacted …

A Cross-Sectional Study On Patient Safety Attitudes And Their Determinants Among Medical Staff In Malaysian Public Specialist Hospitals, Sharifah Balqis Sayed Abdul Hamid, Aniza Ismail, Saperi Sulong

Makara Journal of Health Research

Introduction: This study aimed to assess the baseline level and mean scores of patient safety attitude domains among doctors and nurses in Malaysian public hospitals and to identify determinants associated with these attitudes across six domains: teamwork, safety climate, working conditions, job satisfaction, stress recognition, and perception of management.

Methods: A cross-sectional study was conducted using the Safety Attitudes Questionnaire (SAQ) among 142 doctors and 231 nurses from three public tertiary hospitals. Participants were selected through proportionate stratified random sampling. Data were analyzed using descriptive, bivariate, and multivariate methods.

Results: The study achieved an 81% response rate. …

Exploring The Prevalence And Determinants Of Self-Medication During Pregnancy Among Women From South Punjab, Pakistan, Madiha Madiha, Sehar Jabbar, Imran Masood

Makara Journal of Health Research

Background: For developing countries with high neonatal and maternal mortality rates, any practice that may threaten the maternal-fetal health must be gauged. This study evaluated the prevalence and contributing factors of self-medication during pregnancy among women opting for antenatal or postnatal care in South Punjab, Pakistan.

Methods: A cross-sectional study design was used. Data was collected from 424 women, selected through multi-stage sampling, who visited health care facilities located in six randomly selected cities of South Punjab. Outcomes reported by descriptive and inferential statistics (p < 0.05). Binary logistic regression analysis was performed to determine the association of self-medication with different factors.

Results: Most of the women were involved in self-medication practice (38.9%) …

The Relationship Between Religious Attitude And Breastfeeding Attitude: A Cross-Sectional Study From Türkiye, Melike Yavaş Çelik, Cuma Tunçkaşık

Makara Journal of Health Research

Background: This study aimed to evaluate the relationship between religious attitudes and breastfeeding attitudes and the effect of this relationship on breastfeeding practices.

Methods: This study was conducted with 203 mothers with babies aged 0–24 months. Simple random sampling was used in sample selection. The Religious Attitude Scale and Breastfeeding Attitudes of the Evaluation Scale were used in data collection.

Results: A significant relationship was found between religious attitudes and breastfeeding attitudes. Additionally, mothers' negative breastfeeding attitudes and positive breastfeeding attitudes were found to be close to each other. The time it took for mothers to start breastfeeding their …

Current Insight Into Ldlr And Pcsk9 Genetic Variants: Investigating Genetic Keys To Cholesterol In A Cohort Of Stroke Patients From Yogyakarta, Indonesia, Loury Priskila, Lenggana Relung Atmadi, Arya Taksya Bagaskara, Andreas Mercyan Anggitama

Makara Journal of Health Research

Background: Stroke is the second leading cause of mortality worldwide. In Yogyakarta, Indonesia, the incidence of stroke (14%) is higher than the national average. We therefore investigated the roles of LDLR rs688 (C/T) and PCSK9 rs562565 (A/G) polymorphisms in familial hypercholesterolemia as predictors of first-time ischemic stroke.

Methods: In this case-control study, 119 first-time ischemic stroke patients were divided into dyslipidemia (N = 71) and non-dyslipidemia groups (N = 48). The DNA of the nucleotide polymorphisms LDLR rs688 (C/T) and PCSK9 rs562556 (A/G) was extracted and analyzed using the PCR-RFLP method, and statistical analyses were performed to evaluate …

Knowledge, Attitudes, And Practices Concerning Water, Sanitation, And Hygiene And Related Diseases Among University Students In Malaysia, Renee Ng Jeffrey, Aida Soraya Shamsuddin, Farah Diyana Ariffin, Aziemah Zulkifli

Makara Journal of Health Research

Background: Water, sanitation, and hygiene (WASH) practices are fundamental components of public health, being crucial in preventing disease transmission and promoting healthy living environments. In this context, university students play an essential role as future professionals and community advocates in fostering proper hygiene behaviors and preventing disease outbreaks. Understanding knowledge, attitudes, and practices (KAP) in regard to WASH among individuals, particularly university students, is crucial for promoting proper hygiene behaviors. This study aimed to assess the KAP in regard to WASH and related diseases among undergraduate students from the Faculty of Health Sciences, Universiti Kebangsaan Malaysia (UKM).

Methods: …

Climate Change Anxiety Related To Women’S Health Among Health Sciences Students, Derya Kaya Şenol, Semiha Aydın Özkan, Durdu Cennet Omuş

Makara Journal of Health Research

Background: Climate change impacts are unequally distributed globally, with children, women, pregnant women, the elderly, marginalized populations, and refugees bearing a disproportionate burden. This study aims to determine the levels of related anxiety among female students and to examine the relationship between the anxiety and their perceptions, knowledge levels, and health behaviors related to women’s health.

Methods: The study has a descriptive cross-sectional design. The study population included women students enrolled in the fall semester of the 2023–2024 academic year at the Faculty of Health Sciences of a university between October and December 2023. Personal Information Form and …

Moving Toward Healthy Ageing: The Role Of Physical Activity In Cognitive Function And Self-Esteem Among Older Adults In Türkiye, Canan Birimoglu Okuyan, Müjde Kerkez

Makara Journal of Health Research

Background: This study aimed to evaluate the relationship between religious attitudes and breastfeeding attitudes and the effect of this relationship on breastfeeding practices.

Methods: A cross-sectional study was conducted with 251 older adults. Data were collected using the International Physical Activity Questionnaire, the Standardized Mini-Mental State Examination, and the Rosenberg Self-Esteem Scale. Spearman’s correlation and chi-square tests were employed for statistical analysis.

Results: Physical activity levels were positively correlated with both cognitive function (r = 0.546, p < 0.001) and self-esteem (r = 0.168, p < 0.05). No significant association was observed between cognitive function and self-esteem. Physical inactivity, cognitive decline, and low self-esteem were more prevalent among women, participants with lower educational attainment, those with chronic diseases, and individuals engaged in polypharmacy.

Conclusions: The findings emphasize the importance of integrating physical activity promotion into national healthy ageing policies, particularly in Mediterranean contexts such …

The Relationship Between Individual Innovativeness Traits And Medical Artificial Intelligence Readiness Levels Among Nursing Students In Türkiye, Özlem Öztürk, Tülay Sağkal Midilli

Makara Journal of Health Research

Background: This study examined the relationship between nursing students’ individual innovativeness traits and their readiness for medical artificial intelligence, and the influencing factors.

Methods: This study was a descriptive, correlational study. The study was conducted with 606 nursing students enrolled at the Faculty of Health Science, Manisa Celal Bayar University. Data were collected using the Descriptive Information Form, the Individual Innovativeness Scale (IIS), and the Medical Artificial Intelligence Readiness Scale (MAIRS).

Results: The mean IIS score was 64.23 ± 8.47, indicating that most students fell into the skeptical or interrogator categories. The mean MAIRS score was 75.77 …

Understanding Parental Perceptions Of Truancy In Connecticut Youth: Identifying Risks And Prevention Strategies, Samantha Villa

Honors Theses

This research investigates Connecticut parents' perspectives on effective strategies for addressing truancy. By examining stakeholder attitudes and beliefs, the study aimed to understand the relationship between perceptions of responsibility for truancy prevention and support for punitive versus non-punitive intervention approaches. In light of the COVID-19 pandemic's impact on truancy rates, current legislation and interventions have proven inadequate. This study assessed Connecticut adults' recommendations for truancy policy reforms and explored the potential for community-based interventions to enhance family engagement and reduce reliance on court involvement and punitive sanctions. IBM SPSS was used to analyze an existing dataset from the Tow Youth …

Effects Of Proactive Interference On Adults With Adhd: A Sex-Based Study, Julia Switzer

Honors Theses

ADHD is a widespread phenomenon that affects individuals in a variety of ways. Many individuals exhibit strong proactive interference, in which past memories interfere with the memorization and recall of new information. One of the ways symptoms differ is through the biological sex of individuals, although differences in proactive interference have not been studied in relation to sex. This study hypothesized that women with ADHD are better at resisting proactive interference than males with ADHD. The study involved a digital activity in which a series of colored shapes was shown to participants, who identified whether the previously displayed shapes or …

Race, Fear Of Falls, Built Environment And Physical Activity In Older Adults With Cancer, Kristen Fessele

General Submissions: Community and Population-based Materials

Motivation for older adults with cancer (OAC) to engage in physical activity (PA) during and after cancer treatment may be limited by many factors. OAC may be affected by persistent symptoms limiting PA capability such as fatigue, pain and dyspnea, or lack safe home or neighborhood spaces to engage in activity. Fear of falling (FOF) is a major concern among OAC and may decrease PA and life-space mobility. To understand how OAC perceptions of cancer treatment, FOF and their local built environment (BE) influence PA behaviors, we partnered with ResearchMatch.org to recruit a sample of 19 people with a history …

Artificial Intelligence: A Double-Edged Sword In Support And Subversion Of The Biological Weapons Convention; Part Two: Implications And Recommendations, Diane Dieuliis, Elise Annett, James Giordano

Strategic Insights

This commentary is Pt. 2 of the "Artificial Intelligence: A Double-Edged Sword in Support and Subversion of the Biological Weapons Convention" series. This piece analyzes how artificial intelligence (AI) interacts with the Biological Weapons Convention (BWC) in both supportive and potentially adversarial ways. The authors explain that AI can strengthen biodefense by improving detection, biosurveillance, and compliance monitoring of biological threats. For example, AI can integrate large datasets to identify anomalies in genomic sequences or global research activity that indicate misuse. However, the same capabilities can be exploited to develop, conceal, and disseminate biological agents, automate laboratory processes that lower …

An Analysis Of Student Performance In Elementary Linear Algebra At Brigham Young University, Adrienne Irene Christensen

Theses and Dissertations

This study investigates different factors that influence performance in the Elementary Linear Algebra (ELA) course taught at Brigham Young University. These factors include student characteristics such as true freshman status and college enrollment, and content-specific factors such as how performance on essential topics affects overall performance in the course. To analyze the various research questions posed in the study, I used robust linear mixed effects models with random effects controlling for the hierarchical structure of the data. The statistically significant results from these models indicate that (i) true freshmen perform better than other students on exams and in the ELA …

Studying Causal Inferences For Student Success In Higher Education, Prabesh Shrestha

Theses and Dissertations

Higher education institutions strive to support students in achieving their academic goals through targeted interventions and data-driven strategies. This study analyzed 19 variables, spanning student demographics, enrollment patterns, and institutional interventions, to identify predictors of students completing all enrolled courses in a semester. Using random forest, logistic regression, and bootstrap forest models, we assessed variable importance and derived causal estimates to determine their impact. Results from causal analysis indicate positive effects from session type, term load, referrals, kudos, flags, and scholarships, while negative impacts were associated with location, course delivery method, enrollment status, advisor contact, and registration interval. These findings …

Achieving More Accurate And Interpretable Fraud Detection With Double Machine Learning, Jeremy Andrew Berry

Theses and Dissertations

Fraud detection remains a critical challenge across industries such as insurance, healthcare, finance, and government. Global losses from fraud and financial crime are estimated in the trillions annually, including billions in healthcare and insurance fraud alone. While effective for prediction, traditional machine learning methods often lack causal interpretability and struggle to adapt to evolving fraud tactics. This dissertation investigates the application of Double Machine Learning (DML), an emerging causal inference technique, to enhance both the accuracy and interpretability of fraud analytics. The research compares DML against established causal inference approaches, leveraging a meta-learning framework to evaluate model performance on accuracy, …