3D geometallurgical characterization of coal mine waste rock piles for their reprocessing purpose by Ayoub El Aallaoui, Abdellatif Elghali, Rachid Hakkou, Yassine Taha, Mostafa Benzaazoua, Mustapha El Ghorfi

“…Anthracite liberation was below 30 wt%. 3D modeling estimated a total volume of 7 Mm3, mainly from T08, equaling 11.2 Mt. …”
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Conversational LLM-Based Decision Support for Defect Classification in AFM Images by Angona Biswas, Jaydeep Rade, Nabila Masud, Md Hasibul Hasan Hasib, Aditya Balu, Juntao Zhang, Soumik Sarkar, Adarsh Krishnamurthy, Juan Ren, Anwesha Sarkar

“…We curated an annotated AFM defect dataset spanning organic and inorganic samples to train the defect detection model. Our defect classification model achieves 91.43% overall accuracy, with a recall of 93% for tip contamination and 60% not-tracking defects. …”
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Phase field simulation of excavation damage zone in natural fractured rock mass by LIU Junjie, LIU Jianfeng, YANG Jianxiong, XUE Fujun, WEI Jinbing, GAO Chunyu

“…MethodsThis study began by introducing the theory of brittle fracture and subsequently presented the phase-field model as a novel numerical simulation method. The model governed crack propagation through the definition of a phase-field variable. …”
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A meta-analysis of the diagnostic test accuracy of artificial intelligence predicting emergency department dispositions by Kuang-Ming Kuo, Chao Sheng Chang

“…Many studies have utilized AI to forecast emergency department (ED) disposition, aiming to forecast patient outcomes earlier and to allocate resources better; however, a dearth of comprehensive review literature exists to assess the objective performance standards of these predictive models using quantitative evaluations. This study aims to conduct a meta-analysis to assess the diagnostic accuracy of AI in predicting ED disposition, encompassing admission, critical care, and mortality. …”
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Kinetics of Quality Degradation and Water Removal During Air Drying of Osmodehydrated Oyster Mushrooms Impregnated with <i>Rosa damascena</i> Distillation By-Products by Natalia A. Stavropoulou, Andriana E. Lazou, Maria C. Giannakourou

“…The simplest first-order model is deemed adequate for describing moisture reduction and quality degradation. …”
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An interpretable deep learning framework using FCT-SMOTE and BO-TabNet algorithms for reservoir water sensitivity damage prediction by Yin-bo He, Ke-ming Sheng, Ming-liang Du, Guan-cheng Jiang, Teng-fei Dong, Lei Guo, Bo-tao Xu

“…The framework integrates Bayesian optimization (BO) with TabNet to model complex oilfield tabular datasets. Fair Cut Tree (FCT) and Synthetic Minority Over-sampling Technique (SMOTE) are incorporated to mitigate data missingness and imbalance, thereby enhancing dataset integrity and robustness. …”
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The Strengthening Fraud Prevention in Higher Education: An Empirical Study of Internal Control System and Good University Governance by Rudiawie Larasati, Heru Tjaraka

“…The study adopts a quantitative approach with purposive sampling to analyze a mediating model involving internal control systems, fraud prevention, and GUG. …”
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The impact of knowledge management on business performance with emphasis on the role of accounting information quality (Case study: financial institutions listed on the Tehran Capi... by Rahele Mashaykhi, Ahmad Pifeh, Hamed Ahmadzade

“…In fact, the number of statistical population with the number of samples for each variable is equal to 19. The present study is descriptive-correlational in terms of applied purpose, quantitative in terms of process, quantitative in terms of information collection and analysis method, and inductive in terms of logical dimension. …”
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Machine-Learning-Based Integrated Mining Big Data and Multi-Dimensional Ore-Forming Prediction: A Case Study of Yanshan Iron Mine, Hebei, China by Yuhao Chen, Gongwen Wang, Nini Mou, Leilei Huang, Rong Mei, Mingyuan Zhang

“…Combined with spectral and elemental analysis, the universality of alteration features such as chloritization and carbonation, which are closely related to the mineralization process, was further verified. (3) Based on the spectral and elemental grade data of rock and mineral samples, a training model for ore grade–spectrum correlation was constructed using Random Forests, Support Vector Machines, and other algorithms, with the SMOTE algorithm applied to balance positive and negative samples. …”
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Goal and shot prediction in ball possessions in FIFA Women’s World Cup 2023: a machine learning approach by Iyán Iván-Baragaño, Antonio Ardá, José L. Losada, Rubén Maneiro

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Service-oriented job crafting for employee well-being in hotel industry: a job demands-resources perspective by Yustisia Kristiana, Rosdiana Sijabat, Niko Sudibjo, Innocentius Bernarto

“…The study employed a quantitative method, specifically a cross-sectional survey, with a sample comprising 259 hotel managers from five-star hotels in Jakarta, Indonesia, selected through purposive sampling. …”
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Changes and representativeness of mountain glaciation parameters by V. G. Konovalov

“…The sequence of determining the composition of a sample of representative glaciers on the example of glaciations in the basins of the Kyzylsu Western (Pamir) and Katun (Altai) rivers is described. …”
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Modelo de predicción multivariado entre los factores psicológicos y los estilos de vida con la percepción de calidad de vida de estudiantes universitarios (Multivariate prediction... by Marlucio De Souza Martins, Melba Ximena Figueroa-Ángel, Sergio Toro-Arevalo, Luiz Gonçalves Junior

“…A cross-sectional correlational quantitative study was carried out on a sample of 1,135 university students with an average age of 21.5±3.5 years, of which 41.9% (n=475) are male and 58 .1% (n=660) correspond to the female gender. …”
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Exploring the role of social media in mathematics learning: effects on self-efficacy, interest, and self-regulation by Ling Dai, Wu Jin, Biao Zhu, Rundong Liao, Guoxing Xu, Haozhe Jiang, Jia Guan

“…A two-step structural equation modeling (SEM) approach was used to analyze the relationships between MLSM and the three variables, examining both direct effects and mediation pathways. …”
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Understanding the effectiveness and underlying mechanisms of lifestyle modification interventions in adults with learning disabilities: a mixed-methods systematic review by Dikshyanta Rana, Sophie Westrop, Nishant Jaiswal, Evi Germeni, Arlene McGarty, Louisa Ells, Phillippa Lally, Michael McEwan, Craig Melville, Leanne Harris, Olivia Wu

“…Following are our objectives: to determine the effectiveness of lifestyle modification interventions and their components in targeting health risk behaviours in adults with learning disabilities; to establish how lifestyle modification interventions for adults with learning disabilities work, for whom they work, as well as why they may work in particular circumstances and not in others; to integrate the findings of the quantitative and qualitative syntheses using a logic model; to identify future research priorities to develop lifestyle modification interventions for the NHS and social care services to improve the health of adults with learning disabilities. …”
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Predictors of suicidality in critical care ICU patients after discharge: A cross-sectional study by J V Ashwin, Mohit K. Shahi, Astha Singh, Bhupendra Singh, Shashank Saurabh Sinha, S. Theepan Kumar

“…Statistical analyses included Chi-square tests, Structural Equation Modeling (SEM) for direct and indirect associations, and machine learning-based Decision Tree Classification for prediction analysis. …”
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M Marketing Strategy in Moderation of Social Media & Marketplace to Increase Sales Turnover Anticipating the Impact of the Covid-19 Pandemic at Rasana Juice Surabaya by kamellia nety anggreani

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Does the Lecturer’s Innovativeness Drive VLE Adoption in Higher Education Institutes? (A Study Based on Extended UTAUT) by Asanka Gunasinghe, Junainah Abd Hamid, Ali Khatibi, SM Ferdous Azam

“…The targeted respondents were the registered lecturers in higher education institutes of Sri Lanka, selected based on simple random sampling method. Structural equation modelling (SEM) procedure was employed for data analysis using IBM SPSS (ver.21) and AMOS (Ver.26). …”
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Augmented Reality in Retail Transforming Shopping Experiences through Interactive Product Visualization by Chinthamu Narender, Balaram Allam, K Sowjanya Bharathi, S Saravanan, J S Jaslin, T Saravanan

“…This paper differs from past literature as it is the first to focus on AR in retail from a numerical and quantitative perspective, with a framework that is based on real samples in the industry that may close the gap between theory and practice. …”
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Intersecting factors of disadvantage and discrimination and their effect on daily life during the coronavirus pandemic: the CICADA-ME mixed-methods study by Carol Rivas, Amanda P Moore, Alison Thomson, Kusha Anand, Zainab Zuzer Lal, Alison Fang-Wei Wu, Ozan Aksoy

“…Design Mixed-methods, asset-based, underpinned by embodiment disability models and intersectionality, integrating three strands: (secondary): analysis of existing cohort/panel data, literature review (primary: quantitative): new survey (n = 4326), three times over 18 months (primary: qualitative): semistructured interviews (n = 271), interviewee co-create workshops (n = 104) 5 and 10 months later, mixed stakeholder co-design workshops (n = 30) for rapid-impact solutions to issues, key informant interviews (n = 4). …”
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