The Benkar Fault Zone: An Orogen-Scale Cross Fault in the Eastern Nepal Himalaya by Bibek Giri, Mary Hubbard, Christopher S. McDonald, Neil Seifert, Bishal KC

“…While several genetic models have been proposed for cross faults in the Himalaya and other convergent orogens, we suggest that the BFZ may be related to extensional structures in Tibet. …”
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18 F sodium fluoride PET/CT in patients with prostate cancer: Quantification of normal tissues, benign degenerative lesions, and malignant lesions by Jorge Oldan, A Hawkins, Bennett Chin

“…Understanding the range and variability of normal, benign degenerative, and malignant 18 F sodium fluoride ( 18 F NaF) positron emission tomography/computed tomography (PET/CT) uptake is important in influencing clinical interpretation. Further, it is essential for the development of realistic semiautomated quantification techniques and simulation models. …”
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Evaluating clinician acceptability of the prototype CanRisk tool for predicting risk of breast and ovarian cancer: A multi-methods study. by Stephanie Archer, Chantal Babb de Villiers, Fiona Scheibl, Tim Carver, Simon Hartley, Andrew Lee, Alex P Cunningham, Douglas F Easton, Jennifer G McIntosh, Jon Emery, Marc Tischkowitz, Antonis C Antoniou, Fiona M Walter

“…Their views about the tool were examined via a semi-structured interview or equivalent open-ended questionnaire. …”
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THE ACCEPTANCE OF AN EDUCATIONAL INTEGRATED DEVELOPMENT ENVIRONMENT TO LEARN PROGRAMMING FUNDAMENTALS by Nor Farahwahida Mohd Noor, Aslina Saad, Abu Bakar Ibrahim, Norashady Mohd Noor

“…Based on this model, the requirement planning phase was carried out through the triangulation technique by applying qualitative approaches comprising a literature review supported by semi-structured interviews, document reviews, and content validation by expert programming lecturers. …”
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An AI-Based Decision Support Framework for Clinical Screening of Iron Deficiency Anemia and Thalassemia by Kasikrit Damkliang, Thakerng Wongsirichot, Komsai Suwanno, Chutima Cheranakhorn, Sorawat Sangkeaw, Satanun Sottisataworn

“…Model interpretability, assessed using SHAP and Grad-CAM, highlighted key red blood cell morphological features. …”
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Turning Trash Into Treasure: Extracting Meaning From Discordant Data via a Dedicated Application by Lucy M. Mathieson, C. L. Kirkland, M. L. Daggitt

“…Older Pb loss ages cluster along major NE–SW fault systems, suggesting that long‐lived, reactivated structures facilitated fluid migration and subsequent Pb mobilization in zircon. …”
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Student and Instructor Perspectives on the English Preparatory School’s ELT Program: A Needs Analysis Study by Gülşah Coşkun Yaşar, Pinar Mercan Küçükakın, S. Aslıhan İleri

“…The study utilized a qualitative research method, and the case study model was applied. Semi structured interviews were conducted with 8 SFL instructors and two focus group interviews were conducted with 12 students enrolled in the program. …”
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An explainable hybrid feature aggregation network with residual inception positional encoding attention and EfficientNet for cassava leaf disease classification by M. Sundara Srivathsan, S. Alden Jenish, K. Arvindhan, R. Karthik

“…Furthermore, it incorporates an image augmentation method and a cosine decay learning rate schedule to improve model training. This improves the ability of the model to accurately differentiate between Cassava Bacterial Blight (CBB), Brown Streak Disease (CBSD), Green Mottle (CGM), Mosaic Disease (CMD), and healthy leaves, addressing both local textures and global structures. …”
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KAJIAN INTEGRASI MATEMATIKA DAN ISLAM: RUMUS FUNGSI MATEMATIKA SEDEKAH DALAM AL-QURAN by Annisaul Qoyyimah, Moh. Atikurrahman, Maswar Maswar

“…This approach aims to illustrate how a single act of good deed, particularly charity, from an Islamic perspective, can yield multiplied rewards in a rational and structured manner. The findings suggest that charity holds a broad and profound meaning, occupying a significant position in Islamic teachings as a social act that promises multiple rewards. …”
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Enhancing Ground Penetrating Radar (GPR) Data Analysis Utilizing Machine Learning by Mohanad Shehab, Musab T.S. Al-Kaltakchi, Ammar Dukhan, Wai Lok Woo

“…In this paper, it is used to identify structures and types of seismic images of a real oil and gas field. …”
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Peritoneal Response to Abdominal Surgery: The Role of Equine Abdominal Adhesions and Current Prophylactic Strategies by Juliana de Moura Alonso, Ana Liz Garcia Alves, Marcos Jun Watanabe, Celso Antonio Rodrigues, Carlos Alberto Hussni

“…Currently, there are no definitive strategies that prevent adhesion formation, and it is difficult to interpret the results of existing studies due to nonstandardization of an induction model and evaluation of their severity. …”
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Evaluation of Imprint and Multi‐Level Dynamics in Ferroelectric Capacitors by Sara Vecchi, Francesco Maria Puglisi, Pascal Appelt, Roberto Guido, Xuetao Wang, Stefan Slesazeck, Thomas Mikolajick, Suzanne Lancaster

“…Based on these results, the study finally reports a unified physical interpretation of imprint in the context of a charge injection model, which explains both types of imprint and sheds light on the dynamics of multi‐level polarization switching in ferroelectrics.…”
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Unveiling AI’s impact in Rwandan higher education: navigating trends, challenges, and imperatives at the University of Rwanda by Abbes Sebihi, Leonie Schoelen, Berthilde Uwamwezi

“…Of exploratory nature, the theoretical framework is informed by the Technology Acceptance Model and constructive learning and interpretive theory. …”
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SPARK Resilience in the workplace: Effectiveness of a brief online resilience intervention during the COVID-19 lockdown. by Ilona Boniwell, Evgeny Osin, Larissa Kalisch, Justine Chabanne, Line Abou Zaki

“…This paper presents a mixed-methods study exploring the effectiveness of group coaching using SPARK Resilience training, a model and a structured coaching protocol that have been administered in educational and workplace settings in face-to-face format and remotely. …”
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MR-EILLS: an invariance-based Mendelian randomization method integrating multiple heterogeneous GWAS summary datasets by Lei Hou, Hao Chen, Xiao-Hua Zhou

“…Abstract Diverse genetic structures can lead to heterogeneity among GWAS summary datasets from distinct populations. …”
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An anatomically enhanced and clinically validated framework for lung abnormality classification using deep features and KL divergence by Suresh Kumar Samarla, Maragathavalli P

“…Preserving Anatomical Structures: The methodology ensures that diagnostic features are preserved and highlighted with Anatomy-Preserved Segmentation 2. …”
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Integrating Dimensional Analysis and Machine Learning for Predictive Maintenance of Francis Turbines in Sediment-Laden Flow by Álvaro Ospina, Ever Herrera Ríos, Jaime Jaramillo, Camilo A. Franco, Esteban A. Taborda, Farid B. Cortes

“…The synergy lies in DA’s ability to reduce dimensionality and identify meaningful features, which enhances the ML models’ interpretability, while ML leverages these features to model non-linear and time-dependent patterns that DA alone cannot address. …”
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Usability Assessment of Salud Electronic Dental Record System by Alshammari A, Awawdeh M, Alsalwah NH, Alnafrani S, Alsaeed S

“…The application of TAM and DOI frameworks provided a structured lens to interpret usability challenges and inform targeted recommendations. …”
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BIM-Based Automatic Extraction of Daily Concrete and Formwork Requirements for Site Work Planning by Van-Hoan Pham, Po-Han Chen, Quan Nguyen, Diep-Thuy Duong

“…Conventionally, quantity takeoff was a manual process based on 2D drawings and human interpretation and was error-prone. Presently, with the popularity of Building Information Modelling (BIM), in BIM-based projects, using inbuilt quantity takeoff functions, quantities of work can be generated automatically from BIM models to aid the quantity takeoff. …”
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Foundations and Innovations in Data Fusion and Ensemble Learning for Effective Consensus by Ke-Lin Du, Rengong Zhang, Bingchun Jiang, Jie Zeng, Jiabin Lu

“…Furthermore, we discuss emerging research directions, such as adaptive ensemble methods, hybrid deep learning approaches, and multimodal data fusion, as well as challenges related to interpretability, model selection, and handling noisy data in high-stakes applications. …”
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