Genomic prediction with kinship-based multiple kernel learning produces hypothesis on the underlying inheritance mechanisms of phenotypic traits by Daniele Raimondi, Nora Verplaetse, Antoine Passemiers, Deborah Sarah Jans, Isabelle Cleynen, Yves Moreau

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Enhanced E-commerce decision-making through sentiment analysis using machine learning-based approaches and IoT. by Yasser Filahi, Omer Melih Gul, Ali Elghirani, Erkut Arican, Ismail Burak Parlak, Seifedine Kadry, Kostas Karpouzis

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DECISION SUPPORT SYSTEM STATISTICAL SYNTHESIS, BASED ON AN ASSESSMENT CARRIED OUT WITH THE INTENSITY OF INTERACTION TEACH AND THE LEARNING ENVIRONMENT by E. V. Kondratyonok, V. A. Kondratyonok

“…Decision Support System should take into account the strength of the interaction with the student learning environment. This ensures a high level of knowledge and ability of their application by alumni.The method of learning process modeling of this system in terms of statistics is examined. …”
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Constructing a machine learning model for systemic infection after kidney stone surgery based on CT values by Jiaxin Li, Yao Du, Gaoming Huang, Yawei Huang, Xiaoqing Xi, Zhenfeng Ye

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Positive youth predictors of purpose in life in Peruvian university students by Maria Elena Rojas Zegarra, Pablo A. Pérez-Díaz, Victor Ritchar Yana Calla, Vilma Vilca-Pareja, Rodrigo-Alejandro Ardiles-Irarrázabal, Agueda Muñoz-del-Carpio-Toia

“…Multiple regression analysis revealed that competence, confidence, support, commitment to learning, and positive identity significantly and directly predicted purpose in life, explaining 49.5% of it. …”
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Assessing a partnership-based model of surgical education in the Global South: a mixed methods study of the University of Global Health Equity, Rwanda by Naol Belema Gemechu, Gatwiri Murithi, Derbew Fikadu Berhe, Betel Amdeslassie Fenta, Amanuel Adane Bitew, Tairu Fofanah, Barnabas Tobi Alayande, Abebe Bekele, Geoffrey Anderson, Robert Riviello

“…Conclusions The results underscore the significant positive impact of UGHE’s institutional partnership-based model in delivering surgical education, especially in enhancing student learning and faculty capacity. …”
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Designing and evaluating a web-based training program for medical record documentation: Insights from a developing country experience by Navisa Abbasi, Mohamad Jebraeily, Shahsanam Gheibi, Yousef Mohammadpoor

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A Multi-Machine and Multi-Modal Drift Detection (M2D2) Framework for Semiconductor Manufacturing by Chin-Yi Lin, Tzu-Liang (Bill) Tseng, Tsung-Han Tsai

“…Crucially, M2D2’s drift-aware federated learning mechanism reweights local updates based on each site’s drift severity, preserving global model integrity at scale. …”
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The “Soil Skills” Pedagogical Approach Conjugated With Soil Judging Contests by Said Al-Ismaily, Anvar Kacimov, Ahmed Al-Mayhai, Ahmed Al-Mayhai, Hamed Al-Busaidi, Daniel Blackburn, Afrah Al-Shukaili, Ali Al-Maktoumi, Ali Al-Maktoumi

“…In response, innovative pedagogical approaches that integrate classroom learning from diverse soil science courses with practical skills and field-based competencies are needed. …”
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Text-to-Image Synthesis With Generative Models: Methods, Datasets, Performance Metrics, Challenges, and Future Direction by Sarah K. Alhabeeb, Amal A. Al-Shargabi

“…Text-to-image synthesis, the process of turning words into images, opens up a world of creative possibilities, and meets the growing need for engaging visual experiences in a world that is becoming more image-based. As machine learning capabilities expanded, the area progressed from simple tools and systems to robust deep learning models that can automatically generate realistic images from textual inputs. …”
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Comparative analysis of data transformation methods for detecting non-technical losses in electricity grids by Maria Gabriel Chuwa, Daniel Ngondya, Rukia Mwifunyi

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A Novel Labeling Method for Radar Pulse Data With Complex Modulations and Parametric Overlaps by Youtan Wei, Yang Shen

“…In these tough conditions, azimuthal information is the key for data labeling instead of parameter-based methods. According to the measurement principle, the azimuthal information from the identical emitter shares the same positional relationship between the radiation source and the receivers. …”
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Weakly supervised semantic segmentation and optimization algorithm based on multi-scale feature model by Changzhen XIONG, Hui ZHI

“…In order to improve the accuracy of weakly-supervised semantic segmentation method,a segmentation and optimization algorithm that combines multi-scale feature was proposed.The new algorithm firstly constructs a multi-scale feature model based on transfer learning algorithm.In addition,a new classifier was introduced for category prediction to reduce the failure of segmentation due to the prediction of target class information errors.Then the designed multi-scale model was fused with the original transfer learning model by different weights to enhance the generalization performance of the model.Finally,the predictions class credibility was added to adjust the credibility of the corresponding class of pixels in the segmentation map,avoiding false positive segmentation regions.The proposed algorithm was tested on the challenging VOC 2012 dataset,the mean intersection-over-union is 58.8% on validation dataset and 57.5% on test dataset.It outperforms the original transfer-learning algorithm by 12.9% and 12.3%.And it performs favorably against other segmentation methods using weakly-supervised information based on category labels as well.…”
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Nurses’ attitudes toward web-based learning and their impact on clinical performance, job satisfaction, and turnover: a cross-sectional study in Saudi Arabia by Mohammed Abu Thiyab, Ahmed Nahari

“…Nurses demonstrated positive attitudes toward web-based learning, supporting its potential to improve clinical performance and job satisfaction. …”
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Expanding the evidence on integration of cash assistance in gender-based violence case management in humanitarian settings: lessons learned from multi-country evaluations by Emily Lyles, Nancy Glass, Elisabeth Sidabutar, Erika Garcia Roa, Carlos Hoyos, Andrea Pacheco, Diana Sarria, Alice Golay, Joanna Friedman, Eleonora Argenti, Madeline Madani, Pamela Di Camillo, Giada Cicognola, Elena Bertola, Shannon Doocy

“…Abstract Background The use of cash assistance in humanitarian emergencies has increased rapidly with positive outcomes across multiple objectives, including in health and protection. …”
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Deep Learning-Based Multi-Floor Indoor Localization Using Smartphone IMU Sensors With 3D Location Initialization by Jin-Woo Kim, Yoan Shin

“…This study proposes a deep learning-based multi-floor indoor localization method that estimates a three-dimensional position using only smartphone sensors without relying on external infrastructure. …”
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Transfer Learning Based on Multi-Branch Architecture Feature Extractor for Airborne LiDAR Point Cloud Semantic Segmentation with Few Samples by Jialin Yuan, Hongchao Ma, Liang Zhang, Jiwei Deng, Wenjun Luo, Ke Liu, Zhan Cai

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SDD-Net: A Steel Surface Defect Detection Method Based on Contextual Enhancement and Multiscale Feature Fusion by Chao Liang, Zi-Zheng Wang, Xiao-Lin Liu, Peng Zhang, Zhi-Wei Tian, Ru-Liang Qian

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Screen shooting resistant watermarking based on cross attention by Lianshan Liu, Peng Xu, Qianwen Xue

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Child Physical Abuse Fundamentals in the Child Abuse Pediatrics Curriculum for Physicians (CAP-CuP) by Katie L. Johnson, Emily C. B. Brown, Caitlin E. Crumm

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