An innovative model based on machine learning and fuzzy logic for tracking lower limb exercises in stroke patients by Utpal Chandra Das, Ngoc Thien Le, Timporn Vitoonpong, Chalermdej Prapinpairoj, Kawee Anannub, Wasan Akarathanawat, Aurauma Chutinet, Nijasri Charnnarong Suwanwela, Pasu Kaewplung, Surachai Chaitusaney, Watit Benjapolakul

“…The proposed methodology integrates two models: a fuzzy logic rule-based system and a K-Nearest Neighbor(K-NN) machine learning model. …”
Get full text

Development of a machine learning-based prediction model for serious bacterial infections in febrile young infants by Jina Lee, Jong Seung Lee, Seak Hee Oh, Jun Sung Park, Reenar Yoo, Soo-young Lim, Dahyun Kim, Min Kyo Chun, Jeeho Han, Jeong-Yong Lee, Seung Jun Choi

“…Background To develop and validate machine learning (ML)-based models to predict serious bacterial infections (SBIs) in febrile infants aged ≤90 days.Methods This retrospective study analysed data from febrile infants (≥38.0℃) aged ≤90 days. …”
Get full text

Deep learning-based semantic segmentation for rice yield estimation by analyzing the dynamic change of panicle coverage by Hyeok-Jin Bak, Eun-Ji Kim, Ji-Hyeon Lee, Sungyul Chang, Dongwon Kwon, Woo-Jin Im, Woon-Ha Hwang, Jae-Ki Chang, Nam-Jin Chung, Wan-Gyu Sang

“…Therefore, this study presents a novel temporal framework for rice phenotyping and yield prediction by integrating high-resolution RGB imagery with deep learning-based semantic segmentation.MethodsHigh-resolution RGB images of rice canopies were acquired over two growing seasons. …”
Get full text

Deep learning-based automated measurement of hip key angles and auxiliary diagnosis of developmental dysplasia of the hip by Ruixin Li, Xiao Wang, Tianran Li, Beibei Zhang, Xiaoming Liu, Wenhua Li, Qirui Sui

“…The angles of Sharp, Tönnis, and Center edge, as evaluated by the deep learning-based convolutional neural network model, exhibit robust diagnostic performance in identifying both developmental dysplasia of the hip and borderline developmental dysplasia of the hip. …”
Get full text

Predicting Livestock Farmers’ Attitudes towards Improved Sheep Breeds in Ahar City through Data Mining Methods by Jabraeil Vahedi, Masoumeh Niazifar, Mohammad Ghahremanzadeh, Akbar Taghizadeh, Soheila Abachi, Valiollah Palangi, Maximilian Lackner

Get full text

Do students’ attitudes toward required readings and service-learning for a Medical Humanities course predict their perception of whether the course fosters their personal and profe... by Shane L. Rogers, Lon J. Van Winkle, Lon J. Van Winkle

“…PurposeTo determine whether prospective medical students’ attitudes toward readings and service-learning for a Medical Humanities course predict their perceived impact of the course on their critical reflection and empathy for their peers.MethodsFollowing a Medical Humanities course, students completed surveys concerning their attitudes toward team-based service-learning and readings required for the course. …”
Get full text

XGBoost-SHAP-based interpretable diagnostic framework for knee osteoarthritis: a population-based retrospective cohort study by Zijuan Fan, Wenzhu Song, Yan Ke, Ligan Jia, Songyan Li, Jiao Jiao Li, Yuqing Zhang, Jianhao Lin, Bin Wang

“…Methods In this retrospective, population-based cohort study, anonymized questionnaire data was retrieved from the Wu Chuan KOA Study, Inner Mongolia, China. …”
Get full text

Machine learning‐based model for worsening heart failure risk in Chinese chronic heart failure patients by Ziyi Sun, Zihan Wang, Zhangjun Yun, Xiaoning Sun, Jianguo Lin, Xiaoxiao Zhang, Qingqing Wang, Jinlong Duan, Li Huang, Lin Li, Kuiwu Yao

“…A clinical risk calculation tool was subsequently developed based on these findings. Methods and results This nested case–control study included 200 patients with chronic heart failure (CHF) from the China‐Japan Friendship Hospital (September 2019 to December 2022). …”
Get full text

Predicting the risk of postoperative avascular necrosis in patients with talar fractures based on an interpretable machine learning model by Jian Zhang, Jian Zhang, Jian Zhang, Jihai Xu, Jihai Xu, Jiapei Yu, Jiapei Yu, Jiapei Yu, Hong Chen, Hong Chen, Xin Hong, Songou Zhang, Xin Wang, Xin Wang, Chengchun Shen, Chengchun Shen, Chengchun Shen

Get full text

Historical Values and Character Education Based on Batu Urip Local Wisdom as a History Learning Resource by Agus Susilo, Yohana Satinem, Sarkowi Sarkowi

“…The novelty of this study lies in developing interactive digital history learning media based on local values. The study's conclusion confirms that integrating local wisdom in history learning effectively fosters cultural identity, positive character, and students' interest in globalization. …”
Get full text

PseudoCell: Hard Negative Mining as Pseudo Labeling for Deep Learning-Based Centroblast Cell Detection by Narongrid Seesawad, Piyalitt Ittichaiwong, Thapanun Sudhawiyangkul, Phattarapong Sawangjai, Peti Thuwajit, Paisarn Boonsakan, Supasan Sripodok, Kanyakorn Veerakanjana, Komgrid Charngkaew, Ananya Pongpaibul, Napat Angkathunyakul, Narit Hnoohom, Sumeth Yuenyong, Chanitra Thuwajit, Theerawit Wilaiprasitporn

“…<italic>Objective:</italic> To address this limitation, we propose <italic>PseudoCell</italic>, an object detection framework for automated centroblast detection in WSI, eliminating the need for extensive pathologist&#x0027;s refined labels. <italic>Methods:</italic> <italic>PseudoCell</italic> leverages a combination of pathologist-provided centroblast labels and pseudo-negative labels generated from undersampled false-positive predictions based on cell morphology features. …”
Get full text

Hotspots and Trends in Social-Emotional Learning Research in China: A Visual Analysis Based on CiteSpace by Sarentonglaga Menghe, Amartuvshin Deleg

“…Based on the CiteSpace visualization analysis method, this study systematically examines the research status, key issues, and development trends in the field of social-emotional learning (SEL) in China from 2012 to 2024. …”
Get full text

Fluid Learning with Arduino-Based on Engineering Design Process (EDP) to Improve Student's Problem Solving Ability by Ratih Eka Maryati, Anna Permanasari, Didit Ardianto

“…Most of the students gave positive responses to learning with Arduino-based EDP, felt happy and motivated, provided benefits, every process undertaken by students provided challenges in solving the problems they faced so that fluid learning using the Arduino-based engineering design process (EDP) stages was able to improve students' ability to solve problems.…”
Get full text

A Novel Dynamic Lane-Changing Trajectory Planning Model for Automated Vehicles Based on Reinforcement Learning by Cenxin Yu, Anning Ni, Jing Luo, Jinghui Wang, Chunqin Zhang, Qinqin Chen, Yifeng Tu

Get full text

Development of a flipbook-based Javanese language teaching e-module to improve student learning outcomes by Indah Yuliarti, Triyo Supriyatno, Mohamad Zubad Nurul Yaqin

Get full text

Piecewise Linear Labeling Method for Speed-Adaptability Enhancement in Human Gait Phase Estimation by Woolim Hong, Jinwon Lee, Pilwon Hur

“…Researchers have attempted to estimate the user&#x2019;s gait phase using a learning-based method, as data-driven approaches have recently emerged in the field. …”
Get full text

The evaluation model of engineering practice teaching with complex network analytic hierarchy process based on deep learning by Xianlong Han, Xiaohui Chen

“…A brand-new teaching evaluation model is constructed based on the Internet of Things (IoT) technology, combined with complex network analytic hierarchy process and deep learning method. …”
Get full text

Supporting Web-Based Teaching and Learning of Virtual Care Skills and Competencies: Development of an Evidence-Informed Framework by Lorelli Nowell, Sara Dolan, Sonja Johnston, Michele Jacobsen, Diane L Lorenzetti, Elizabeth Oddone Paolucci

“…As virtual care becomes increasingly essential, instructors must ensure that students are equipped with both interpersonal abilities and digital competencies, merging traditional hands-on methods with web-based learning. Despite its growing importance, there is a lack of comprehensive frameworks to guide the design and delivery of web-based learning experiences that foster the development of virtual caring skills and competencies among students in caring professions. …”
Get full text

Addressing Local Minima in Path Planning for Drones with Reinforcement Learning-Based Vortex Artificial Potential Fields by Boyi Xiao, Lujun Wan, Xueyan Han, Zhilong Xi, Chenbo Ding, Qiang Li

Get full text

GIS partial discharge diagnosis method under sample imbalance conditions by Tianyu Hu, Hongzhong Ma, Dawei Duan, Yuan Dong

Get full text