Analysis of the learning curve for transvaginal natural orifice transluminal endoscopic surgery in ovarian cystectomy by Qiang Zhang, Wenting Dong, Biao Huang, Biao Huang, Aijie Xie, Zhaolin Gong, Dan Feng, Li He, Yonghong Lin

“…ObjectiveThis study aimed to evaluate the learning curve for transvaginal natural orifice transluminal endoscopic surgery (vNOTES) in ovarian cystectomy and to identify perioperative factors influencing operative time.MethodsThis prospective observational study included 39 patients who underwent vNOTES ovarian cystectomy at Chengdu Women’s and Children’s Central Hospital between June 2022 and June 2024. …”
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Forecasting acute childhood malnutrition in Kenya using machine learning and diverse sets of indicators. by Girmaw Abebe Tadesse, Laura Ferguson, Caleb Robinson, Shiphrah Kuria, Herbert Wanyonyi, Samuel Murage, Samuel Mburu, Rahul Dodhia, Juan M Lavista Ferres, Bistra Dilkina

“…We also trained machine learning models, such as Logistic Regression and Gradient Boosting, to forecast acute malnutrition risk based on observed indicators from prior months. …”
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Ideological orientation and extremism detection in online social networking sites: A systematic review by Kamalakkannan Ravi, Jiann-Shiun Yuan

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Digital Transformation in Education: ASEM Case Study and the Integration of Modern Technologies in the Learning Process by Aurelia TURCAN, Lucia GUJUMAN, Tatiana COLESNICOV

“…The research conducted in the article is an analysis of the current state of digitization in the Republic of Moldova, with a case study focused on the implementation of the digital teaching-learning-assessment process at ASEM. This approach is based on observing how digital platforms and tools can enhance student autonomy through online collaboration and support teachers in adapting teaching methods to current requirements. …”
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A multi-agent reinforcement learning approach for continuous battery cell-level balancing by Yasaman Tavakol-Moghaddam, Mehrdad Boroushaki

“…Trained with the trust region policy optimization (TRPO) algorithm, the approach ensures stability and partial observability. Extensive simulations demonstrate the MARL model's superiority over baselines, showing a 28% improvement in battery performance and balancing speed up to three times faster under EV load profiles. …”
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SET OF ORGANIZATIONALLY-DIDACTIC CONDITIONS OF THE MODEL OF STUDENTS’ AUTONOMY DEVELOPMENT SYSTEM IMPLEMENTATION by Roman A. Popov

“…Along with that, the interdisciplinary relations are based upon the intrasubject consequence of educational subjects and on the methods of these subjects’ learning. …”
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Machine learning the operator content of the critical self-dual Ising-Higgs lattice gauge theory by Lior Oppenheim, Maciej Koch-Janusz, Snir Gazit, Zohar Ringel

“…Such an understanding is reflected in our ability to sort observables based on their degeneracy, symmetries, and power-law decays. …”
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Ergodic seismic precursors and transfer learning for short term eruption forecasting at data scarce volcanoes by Alberto Ardid, David Dempsey, Corentin Caudron, Shane Cronin, Ben Kennedy, Társilo Girona, Diana Roman, Craig Miller, Sally Potter, Oliver D. Lamb, Anto Martanto, Yesim Cubuk-Sabuncu, Leoncio Cabrera, Sergio Ruiz, Rodrigo Contreras, Javier Pacheco, Mauricio M. Mora, Silvio De Angelis

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A Signal Processing-Guided Deep Learning Framework for Wind Shear Prediction on Airport Runways by Afaq Khattak, Pak-wai Chan, Feng Chen, Hashem Alyami, Masoud Alajmi

“…This study introduces a hybrid framework for short-term wind shear prediction based on data collected from Doppler LiDAR systems positioned near the central and south runways of the HKIA. …”
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Deep learning assisted analysis of biomarker changes in refractory neovascular AMD after switch to faricimab by Michael Hafner, Franziska Eckardt, Jakob Siedlecki, Benedikt Schworm, Tina R. Herold, Ben Asani, Siegfried G. Priglinger, Johannes B. Schiefelbein

“…Automated segmentation of key OCT biomarkers - including fibrovascular pigment epithelium detachment (fvPED), intraretinal fluid (IRF), subretinal fluid (SRF), subretinal hyperreflective material (SHRM), choroidal volume, and central retinal thickness (CRT) - was conducted using a deep learning algorithm based on a convolutional neural network. …”
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GOES‐R PM2.5 Evaluation and Bias Correction: A Deep Learning Approach by Alqamah Sayeed, Pawan Gupta, Barron Henderson, Shobha Kondragunta, Hai Zhang, Yang Liu

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Empowering Sustainability: The Crucial Role of IoT-Enabled Distributed Learning Systems in Reducing Carbon Footprints by Anjana M S, Aryadevi Remanidevi Devidas, Maneesha Vinodini Ramesh

“…Moreover, these IoT devices and centralized learning consume more energy. However, integrating IoT devices with distributed learning and multiple models significantly reduces energy consumption as well as the carbon footprint. …”
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Project-based Authentic Assessment Needs Analysis for Teachers in Primary Schools by Yuyun Dwi Haryanti, Sapriya Sapriya, Anggy Giri Prawiyogi, Ahmad Rifqy Ash-Shiddiqy, Raden Sudarwo

“…Learning and assessment are an inseparable whole. Assessment, if designed appropriately, thoroughly and used appropriately in assessment procedures, can contribute to effective learning and have an impact on the competence of quality students. …”
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Integrated multi-omics analysis and machine learning refine molecular subtypes and clinical outcome for hepatocellular carcinoma by Chunhong Li, Jiahua Hu, Mengqin Li, Yiming Mao, Yuhua Mao

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Unraveling global malaria incidence and mortality using machine learning and artificial intelligence–driven spatial analysis by Md. Siddikur Rahman, Md. Abu Bokkor Shiddik

“…High-incidence clusters were observed in Benin, Burkina Faso, and Ghana, with substantial mortality clusters in Benin, the Central African Republic, and Liberia. …”
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Urban Tree Canopy Mapping and Analysis Using Iterative Annotation Method and Deep Learning: A Case Study in Beijing by Yulong Ding, Ximin Cui, Zhengchao Chen, Zeqing Wang, Debao Yuan, Xiang Meng, Xuan Yang, Yue Xu, Xiangyu Tian

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Joint Caching and Computation in UAV-Assisted Vehicle Networks via Multi-Agent Deep Reinforcement Learning by Yuhua Wu, Yuchao Huang, Ziyou Wang, Changming Xu

“…To address these challenges, this paper proposes a MADRL-based joint optimization approach. We precisely model the problem as a Decentralized Partially Observable Markov Decision Process (Dec-POMDP) and adopt the Multi-Agent Proximal Policy Optimization (MAPPO) algorithm, which follows the Centralized Training Decentralized Execution (CTDE) paradigm. …”
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Establishment and comparison of prediction models for early-stage diabetic kidney disease by Yingda Sheng, Jianguo Cheng, Caimei Zhang, Feifei Ma, Qian Xiao, Dan Wang, Jianwen Zhang, Xiaoqin Ha

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Enhancing critical thinking with realistic mathematics education: Insight from learning styles, thinking habits, and cognitive abilities by Allen Marga Retta, Ratu Ilma Indra Putri, Zulkardi, Ely Susanti

“…The context of water pH was used to explore the measures of central tendency. Students were observed based on their learning styles, thinking habits, and cognitive abilities. …”
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Advanced prediction of rice yield gaps under climate uncertainty using machine learning techniques in Eastern India by Satiprasad Sahoo, Chiranjit Singha, Ajit Govind

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