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Articles 13351 - 13380 of 713656
Full-Text Articles in Entire DC Network
The Impact Of Ai-Powered Mobile Money System On Supply Chain: Multi-Cases From Smes In The Global South, Mostafa Mohamad, Michael Nii Laryeafio, Ebimoboere Koroye, Derick Nyame, Samuel Ayertey, Adelina Emini
The Impact Of Ai-Powered Mobile Money System On Supply Chain: Multi-Cases From Smes In The Global South, Mostafa Mohamad, Michael Nii Laryeafio, Ebimoboere Koroye, Derick Nyame, Samuel Ayertey, Adelina Emini
All Works
This study explores the effects of adopting an artificial intelligence (AI)-powered mobile money system (AI-MMS) on supply chain operations among small and medium-sized enter-prises (SMEs) in the Global South. The authors developed a new version of Rogers’ Diffusion of Innovation model (DoI) that considers the geopolitical context and environmental fac-tors, including regulatory framework, trust, risk and complexity, to help understand how AI-MMS can enhance transactional efficiency in SMEs and bridge the financial inclusion gap. Using qualitative methods, we conducted 40 semi-structured interviews with SME owners in Abuja, Lagos, Kaduna, Kano and Port Harcourt and found that AI-MMS enhanced their logistics …
Artificial Intelligence In Higher Education, Opportunities, And Challenges: A Review, Sharifa Alblooshi
Artificial Intelligence In Higher Education, Opportunities, And Challenges: A Review, Sharifa Alblooshi
All Works
Artificial intelligence (AI) is a growing force of change in higher education, providing assistance to students, teachers, and administrators in teaching, learning, and administration. As AI technologies advance rapidly, they present a combination of significant opportunities and complex challenges. In this study, we examine the role of AI in higher education, highlighting both its positive and negative impacts, as well as current policy gaps and issues arising from its deployment. The literature on the topic was reviewed to determine how AI decisively impacts teaching and learning, the role of AI in assessments and academic integrity, as well as ethics, psychological …
2026 January 29 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University
2026 January 29 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University
Tennessee Climate Office Weekly Drought Summaries
No abstract provided.
Better It Disaster Recovery And Procedures To Improve Response After Computer Crime, Allan Eduardo Arroyo-Melendez
Better It Disaster Recovery And Procedures To Improve Response After Computer Crime, Allan Eduardo Arroyo-Melendez
Walden Dissertations and Doctoral Studies
A lack of an effective disaster recovery plan (DRP) can negatively impact business outcomes following a cyberattack. Information technology (IT) managers are concerned that the lack of DRP may increase the risk of ransomware, fines, and public distrust. Grounded in the unified theory of acceptance and use of technology, the purpose of this qualitative pragmatic inquiry study is to explore strategies that some IT managers use to implement a DRP. The participants are four IT managers in the southeast United States. Data were collected through semistructured interviews and a review of publicly available documents. Through thematic analysis, three themes were …
A High-Resolution Daily Precipitation Fusion Framework Integrating Radar, Satellite, And Nwp Data Using Machine Learning Over South Korea, Hyoju Park, Hiroyuki Miyazaki, Menas Kafatos, Seung Hee Kim, Yangwon Lee
A High-Resolution Daily Precipitation Fusion Framework Integrating Radar, Satellite, And Nwp Data Using Machine Learning Over South Korea, Hyoju Park, Hiroyuki Miyazaki, Menas Kafatos, Seung Hee Kim, Yangwon Lee
Institute for ECHO Articles and Research
Accurate precipitation mapping is essential for effective disaster management; however, individual radar, satellite, and numerical weather prediction products often struggle in the topographically complex terrain of South Korea. This study proposes a high-resolution (~500 m) daily precipitation fusion framework that integrates Korea Meteorological Administration (KMA) radar, Global Precipitation Measurement (GPM) Integrated Multi-Satellite Retrievals for GPM (IMERG), and Local Data Assimilation and Prediction System (LDAPS) data. The framework employs a Random Forest model augmented with a monthly Empirical Cumulative Distribution Function (ECDF) correction. Auxiliary predictors are incorporated to enhance physical interpretability and stability, including terrain attributes to represent orographic effects, land-cover …
Geometric Modeling Through Multiple Implicit Functions, Yiwen Ju
Geometric Modeling Through Multiple Implicit Functions, Yiwen Ju
McKelvey School of Engineering Graduate Student Theses & Dissertations
Implicit representations have become a dominant paradigm in computational settings ranging from learning-based geometry generation to advanced manufacturing. While treating geometry as the level set of a black-box function provides significant modeling flexibility, converting these representations into explicit surface meshes remains a major challenge. Standard volumetric extraction methods are fundamentally designed for smooth manifolds and therefore struggle to capture sharp geometric features such as creases, corners, and non-manifold junctions that are critical for high-fidelity industrial design and engineering tasks. Many of these intricate features arise from modeling multiple implicit functions. Examples include Constructive Solid Geometry (CSG), material interfaces, and more …
Black Hole Spectroscopy And Tests Of General Relativity With Gw250114, A. G. Abac, I. Abouelfettouh, Teviet Creighton, Mario C. Diaz, Raul Alberto Espinosa Perez, J. Lawrence, Francisco Llamas Villarreal, Soma Mukherjee, Volker Quetschke, Miriam Ramos Arevalo, Wenhui Wang
Black Hole Spectroscopy And Tests Of General Relativity With Gw250114, A. G. Abac, I. Abouelfettouh, Teviet Creighton, Mario C. Diaz, Raul Alberto Espinosa Perez, J. Lawrence, Francisco Llamas Villarreal, Soma Mukherjee, Volker Quetschke, Miriam Ramos Arevalo, Wenhui Wang
Physics & Astronomy Faculty Publications
The binary black hole signal GW250114, the loudest gravitational wave detected to date, offers a unique opportunity to test Einstein’s general relativity (GR) in the high-velocity, strong-gravity regime and probe whether the remnant conforms to the Kerr metric. Upon perturbation, black holes emit a spectrum of damped sinusoids with specific, complex frequencies. Our analysis of the postmerger signal shows that at least two quasinormal modes are required to explain the data, with the most damped remaining statistically significant for about one cycle. We probe the remnant’s Kerr nature by constraining the spectroscopic pattern of the dominant quadrupolar (ℓ =𝑚 =2) …
Modelling Land Use Land Cover Change In Banyumas Regency Using Remote Sensing Data For Tourism Policy Evaluation, Revi Hernina, Arif Wicaksono, Adi Wibowo, Astrid Damayanti
Modelling Land Use Land Cover Change In Banyumas Regency Using Remote Sensing Data For Tourism Policy Evaluation, Revi Hernina, Arif Wicaksono, Adi Wibowo, Astrid Damayanti
Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments)
Tourism is essentially a geographical phenomenon, encompassing the movement and flow of people and spatial distribution patterns relating to land use consumption. The impacts of tourism on LUCC must track and monitor regrading effected to environment and human side. For decades, Banyumas Regency has been known for its famous tourist destinations such Baturaden District and numerous waterfalls. However, the development of tourism infrastructures within its vicinity has sparked complaints from communities, particularly damaged roads and decreasing tourist visits. From environmental perspective, excessive tourism development might cause decreasing natural carrying capacity. Therefore, to provide deeper analysis regarding the current tourism development, …
A Strengths, Weaknesses, Opportunities, And Threats (Swot) Analysis Of Chatgpt In Academic Help-Seeking, Fan Yang
International Journal of Teaching and Learning in Higher Education
This study explores the use of ChatGPT as a help-seeking tool in educational contexts, examining both its potential benefits and costs through a SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis. The purpose is to provide a comprehensive understanding of the various internal and external factors that either promote or hinder the use of ChatGPT for academic help-seeking. The strengths of ChatGPT, such as its 24/7 availability to provide immediate responses, non-judgmental tone, and the ability to provide personalized help based on specific prompts, position itself as a valuable resource for help-seekers. However, the low quality of the responses generated by …
Group Conformity And The Amplification Of Deviance: A Comparison Of Hutterite And Mormon Dress Codes, Bron B. Ingoldsby
Group Conformity And The Amplification Of Deviance: A Comparison Of Hutterite And Mormon Dress Codes, Bron B. Ingoldsby
Communal Societies
No abstract provided.
The World Of Poor Eve: Re-Defining Women’S Roles In Nineteenth Century Utopian Communities, Deidre Hughes
The World Of Poor Eve: Re-Defining Women’S Roles In Nineteenth Century Utopian Communities, Deidre Hughes
Communal Societies
No abstract provided.
They Blog, Therefore They Think: Composition 2.0 And Blogging Toward Democracy, Lorie Jacobs
They Blog, Therefore They Think: Composition 2.0 And Blogging Toward Democracy, Lorie Jacobs
Fast Capitalism
No abstract provided.
Time-Space Compression And The Role Of Television In Delillo’S White Noise And Wallace’S “Little Expressionless Animals”, Andrew H. Banecker
Time-Space Compression And The Role Of Television In Delillo’S White Noise And Wallace’S “Little Expressionless Animals”, Andrew H. Banecker
Fast Capitalism
No abstract provided.
Yield-To-Maturity And The Reinvestment Of Coupon Payments: Reply
Yield-To-Maturity And The Reinvestment Of Coupon Payments: Reply
Journal of Economics and Finance Education
Our original note addressed a common misconception that to earn the yield-to-maturity (YTM) on a coupon bond an investor must reinvest the coupon payments. Shirvani and Wilbratte (2009) take issue with our presentation and results. We will demonstrate that their arguments entirety rest on the proposition that the YTM must equal the realized compounded yield (RCY). This is a construct that explicitly assumes coupon reinvestment. We made no claim in our original presentation with regard to their proposition, because it is not required to calculate the YTM. Furthermore, we will discuss their claims with regard to the “economic significance” of …
Yield To Maturity Is Always Received As Promised: A Reply
Yield To Maturity Is Always Received As Promised: A Reply
Journal of Economics and Finance Education
This note attempts to further spell out why it is a myth that YTM is viewed as only a promised but not really earned interest rate. It addresses some misconceptions in Shirnani and Wilbratte (2009, this issue) on what, between YTM and RCY, is a true rate of return of a coupon bond, why YTM is NOT just a “fictitious mathematical construct”, and why YTM has nothing to do with yield curve.
The Relationship Between The Promised And Realized Yields To Maturity Revisited
The Relationship Between The Promised And Realized Yields To Maturity Revisited
Journal of Economics and Finance Education
This paper reaffirms the long-held view that the promised yield to maturity of a coupon bond can be realized only under certain restrictive conditions. Specifically, the realized yield equals the promised yield only if the spot rate and yield curves are flat and remain unchanged throughout the term of the bond, a condition which rarely if ever holds. In addition, we explain that, regardless of the reinvestment rates, the promised yield on a coupon bond will be realized, provided that the bond is held not to its maturity but to its duration.
Parsimonious Expected Utility And In-The-Large Risk Premiums For The Undergraduate Curriculum
Parsimonious Expected Utility And In-The-Large Risk Premiums For The Undergraduate Curriculum
Journal of Economics and Finance Education
Expected utility theory, Pratt and Arrow’s risk premium, and the Markowitz risk premium are based upon Von Neumann and Morgenstern’s five axioms of cardinal utility. The derivation of these measures from these axioms is generally considered too mathematically sophisticated for the undergraduate curriculum. This leaves a wide gap in the foundation of financial theory for the undergraduate. An alternative simplified presentation of expected utility that is suitable for the undergraduate curriculum, and that avoids the nuances and complexities of the traditional mathematically more complete derivation, is presented here. In addition, an easily derived in-the-large risk premium is shown to be …
Time Spent Online And Student Performance In Online Business Courses: A Multinomial Logit Analysis
Time Spent Online And Student Performance In Online Business Courses: A Multinomial Logit Analysis
Journal of Economics and Finance Education
This study examines the determinants of academic achievement in online business courses. As a measure of effort, we use the total amount of time each student spent in the course. We estimate a multinomial logistic model to examine the odds of attaining one grade versus another depending on time spent online, GPA, and some demographic characteristics of students. Our findings suggest that extra effort can help a student move from letter grades F, D and C to grade B, but is less helpful for the move from B to A. For the latter improvement, a high GPA matters the most.
The Effects Of Antihistamines On Drowsiness, Symptom Relief, And Restless Leg Syndrome, Suki Kaur
The Effects Of Antihistamines On Drowsiness, Symptom Relief, And Restless Leg Syndrome, Suki Kaur
Posters-at-the-Capitol
“Antihistamine” categorizes a large selection of drugs, all with different side effects and user experiences. This study explores the relationships between allergy medicine usage, side effects, symptom relief, and Restless Leg Syndrome (RLS) using data collected from 113 participants of an anonymous online survey. Five hypotheses were tested using chi-square analyses of independence at a significance level of 0.05. The data revealed a strong statistical association between first-generation antihistamine (Benadryl) use and drowsiness, misuse of allergy medicine and RLS, drowsiness and RLS, and duration of use and routine disruption. The data did not find a statistically significant relationship between relief …
Digital Morality And National Values: Pancasila As An Ethical Compass For Technology-Enhanced Counseling In Indonesia, Dominikus David Biondi Situmorang, Hendrik Tuaputimain, Muqaffi Muqaffi, M. Solehuddin
Digital Morality And National Values: Pancasila As An Ethical Compass For Technology-Enhanced Counseling In Indonesia, Dominikus David Biondi Situmorang, Hendrik Tuaputimain, Muqaffi Muqaffi, M. Solehuddin
Buletin Konseling Inovatif
The very fast development of Artificial Intelligence (AI), Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR) in the last decade have changed the way of mental health practice internationally, including Indonesia. Although these technologies extend reach, deepen therapeutic engagement, and facilitate clinical analysis, they also present serious ethical challenges with respect to privacy, algorithmic bias, depersonalization, and disparity. This integrative review draws on literature from counseling, digital ethics, immersive technologies, and Indonesian philosophical studies to consider how Pancasila can serve as a culturally situated ethical guide for technology-mediated counseling. The results disclose four overarching themes: shifting role of …
Affirming Spaces For Reflection, Olivia J. Chu
Affirming Spaces For Reflection, Olivia J. Chu
Teaching and Learning Together in Higher Education
No abstract provided.
Taking Note Of Note-Taking And Note-Reading Experiences: Student And Faculty Partners’ Reflections On Observations In Classroom-Based Pedagogical Partnerships, Alison Cook-Sather
Taking Note Of Note-Taking And Note-Reading Experiences: Student And Faculty Partners’ Reflections On Observations In Classroom-Based Pedagogical Partnerships, Alison Cook-Sather
Teaching and Learning Together in Higher Education
No abstract provided.
Agro-Ecotourism In Ciputri Village: Evaluating Potentials And Strategies For Sustainable Tourism Development, Inanditya W. Putri, Hafid Setiadi
Agro-Ecotourism In Ciputri Village: Evaluating Potentials And Strategies For Sustainable Tourism Development, Inanditya W. Putri, Hafid Setiadi
Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments)
Sustainable rural tourism development requires integrated planning that balances environmental conservation, community participation, and local economic growth. Agro-ecotourism has emerged as an important approach to support village-based tourism development in environmentally sensitive areas. Ciputri Village in Cianjur Regency has been designated as a tourism village and possesses considerable agro-based and ecological potential. However, tourism development remains suboptimal due to limited public awareness, low visitor numbers, and fragmented strategic planning. This study aims to assess agro-ecotourism potential and to formulate priority development strategies. An integrated approach combining Participatory Geographic Information Systems (P-GIS), SWOT-based EFAS/IFAS analysis, and the Analytic Hierarchy Process (AHP) …
Interpretable Linear Models For Heart Disease Prediction: A Comparative Study, Dipok Deb, Emran Hossain
Interpretable Linear Models For Heart Disease Prediction: A Comparative Study, Dipok Deb, Emran Hossain
Data Science and Data Mining
Heart disease remains a leading cause of mortality worldwide, underscoring the importance of accurate and transparent methods for early diagnosis. While many machine learning and artificial intelligence models have demonstrated strong predictive performance, their limited interpretability poses challenges for clinical adoption. In this study, we evaluate three interpretable linear classification models—Generalized Linear Model (GLM) logistic regression, L1-regularized (Lasso) logistic regression, and Linear Discriminant Analysis (LDA)—for heart disease prediction using the Cleveland Heart Disease dataset. Following comprehensive data preprocessing, the models are assessed on a held-out test set using standard evaluation metrics, including accuracy, precision, recall, F1-score, and the area under …
Understanding Gender Differences In Academic Achievement Among Engineering Students, Luai Al Labadi, Mohammad Saleh Bataineh, Lim Kyuson, Nida Siddiqui
Understanding Gender Differences In Academic Achievement Among Engineering Students, Luai Al Labadi, Mohammad Saleh Bataineh, Lim Kyuson, Nida Siddiqui
International Journal for Research in Education
In recent years, a noticeable shift has occurred in academic performance, with females consistently outperforming males in mathematical engineering courses. To investigate the factors contributing to this trend, we conducted a comprehensive survey at a main university in UAE. Analyzing data from 431 engineering students, we found that the time spent studying outside the classroom plays a pivotal role, evidenced by a statistically significant p-value of 0.04, contributing to the gender-based performance disparity. Building upon these findings, we propose short-term solutions that instructors and universities can implement promptly to address this issue. This study underscores the importance of ongoing institution-level, …
Concurrent And Longitudinal Predictions Of Math Anxiety, Science Anxiety, And Enrollment In Science And Art Tracks In Secondary Education, Ahmed Megreya, Ahmed Al-Emadi
Concurrent And Longitudinal Predictions Of Math Anxiety, Science Anxiety, And Enrollment In Science And Art Tracks In Secondary Education, Ahmed Megreya, Ahmed Al-Emadi
International Journal for Research in Education
The worldwide need for STEM (Science, Technology, Engineering, and Mathematics) expertise highlights the critical importance of examining education-related emotions that shape students’ educational pathways and career decisions. Using a sample of tenth-grade students from Qatari schools (N = 391) and a follow-up sample in eleventh grade (N = 350), after their enrollment in either the art or science track, the present study examined the concurrent and longitudinal predictions of math anxiety, science anxiety, and track enrollments in secondary education. The science track attracted a larger number of male students, whereas the art track drew a higher proportion of female students. …
The Role Of School Evaluation And Accreditation In The Professional Development Of Female Science Teachers In Al-Majma'ah Governorate, Asmaa Muhammad Alqutaim
The Role Of School Evaluation And Accreditation In The Professional Development Of Female Science Teachers In Al-Majma'ah Governorate, Asmaa Muhammad Alqutaim
International Journal for Research in Education
The study aims to explore the role of school evaluation and accreditation in the professional development of science teachers in Al-Majma'ah governorate. The sample consisted of (217) female science teachers in the governorate, and the study followed a descriptive survey methodology. The researcher designed a questionnaire comprising (41) statements across three domains: professional values and responsibilities, professional knowledge, and professional practice. The study reached several key findings, most notably: a high degree of agreement among participants on the role of school evaluation and accreditation in developing professional values and responsibilities, professional knowledge, and professional practice, from the perspective of science …
Awareness And Attitudes Of Students Visiting Non-Formal Science Education Centers (Stem Oman) Stem-Based Careers, Wafa Issa Alsiyabi, Ali Huwaishal Alshuaili
Awareness And Attitudes Of Students Visiting Non-Formal Science Education Centers (Stem Oman) Stem-Based Careers, Wafa Issa Alsiyabi, Ali Huwaishal Alshuaili
International Journal for Research in Education
The study aimed to explore the knowledge and attitudes of second-cycle students visiting non-formal STEM (Science, Technology, Engineering, and Mathematics) education centers in the Sultanate of Oman. It employed a descriptive methodology in collecting and analyzing data, where quantitative data were gathered through two questionnaires: one to measure knowledge comprising 22 items, and the other to measure attitudes comprising 64 items. These questionnaires were distributed to a convenient sample of 76 male and female students. Data were analyzed using the Statistical Package for the Social Sciences (SPSS).
The research findings revealed that second-cycle students exhibited a high level of knowledge …
Enhancing Sustainable Cooling Solutions: Investigating Spot Radiant Cooling Systems Performance And Influence On Indoor Comfort In Hot Climates, Norhane Eldeeb, Ahmed Ahmed Fikry, Abbas Mohamed Elzafarany, Ehab El Shazly, Hinar Abo El-Maged
Enhancing Sustainable Cooling Solutions: Investigating Spot Radiant Cooling Systems Performance And Influence On Indoor Comfort In Hot Climates, Norhane Eldeeb, Ahmed Ahmed Fikry, Abbas Mohamed Elzafarany, Ehab El Shazly, Hinar Abo El-Maged
HBRC Journal
In hot climates, demand for effective sustainable cooling strategies to maintain comfort is high. Nevertheless, conventional radiant cooling systems are often hindered by condensation risks and complex control requirements in partially occupied spaces. To address these challenges, at top inlet conditions of approximately 26°C and 50% Relative Humidity) RH (, three-dimensional CFD simulations validated against the 1.405 kW reference case of Shin et al. were performed to quantify the effect of installation height and panel geometry on spot radiant cooling performance. Lowering the flat CRCP from 2.6 m to 2.2 m reduced volume averaged air temperature (Ta) …
Leveraging Blockchain Technology In Mining Supply Chain Management: Vietnam Coal Mining Case Study, Thu Hang Nguyen, Nguyen Trung Tuan, Hong Anh Le
Leveraging Blockchain Technology In Mining Supply Chain Management: Vietnam Coal Mining Case Study, Thu Hang Nguyen, Nguyen Trung Tuan, Hong Anh Le
Journal of Sustainable Mining
The global economy heavily relies on the mining industry for essential resources such as coal, oil, gas, and metal ores. However, the intricate nature of mining operations poses significant challenges in supply chain management (SCM). This research investigates how blockchain technology can address these challenges within mining supply chain management (MSCM). Through a systematic review of existing research and projects, a conceptual blockchain model is proposed to improve mining supply chains’ transparency, traceability, efficiency, and sustainability, specifically focusing on coal supply chain management in Vietnam. The model integrates distributed ledgers, smart contracts, IoT devices, identity management, and consensus mechanisms to …