Management education in technology-mediated ODL platform – implications for educators in context of shifting learning path and digital divide by Smritishikha Choudhury, Chayanika Senapati, Nripendra Narayan Sarma

“…In the ODL scenario, the learning path has been shifting from the traditional Self-Learning Material (SLM) -based model to technology-mediated platform. …”
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User Sentiment Analysis Based on Securities Application Elements by Minji Kim, Subeen Kim, Yoonha Park, Sangwoo Bahn, Sung Hee Ahn, Bhavadharani NambiNarayanan

“…This study explores the use of Aspect-Based Sentiment Analysis (ABSA) as an effective alternative to traditional user research methods for securities application design. …”
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Navigating electives: Perspectives from phase III MBBS students and faculty in program evaluation by Sujatha Karjigi, Shyamala KK, Divya Gupta, Karthik R

“…Background: An elective is a learning experience created in the competency-based medical education curriculum to provide an opportunity for the learner to explore, discover, and experience areas or streams of interest in the profession. …”
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Impact of Sensor-Axis Combinations on Machine Learning Accuracy for Human Activity Recognition Using Accelerometer Data in Clinical Settings by Takahiro Yamane, Moeka Kimura, Mizuki Morita

“…Machine learning-based activity recognition was conducted using 9-, 6-, and 3-axis data from the nondominant wrist or chest, as these two positions demonstrated high recognition accuracy in our previous study. …”
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The Impact of User Perception on Continued Knowledge Purchase Intention: A Study Utilizing the LDA Topic Analysis Method by Yong Liu, Feifan Du, Hui Li

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CR-Mask RCNN: An Improved Mask RCNN Method for Airport Runway Detection and Segmentation in Remote Sensing Images by Meng Wan, Guannan Zhong, Qingshuang Wu, Xin Zhao, Yuqin Lin, Yida Lu

“…Airport runways, as the core part of airports, belong to vital national infrastructure, and the target detection and segmentation of airport runways in remote sensing images using deep learning methods have significant research value. Most of the existing airport target detection methods based on deep learning rely on horizontal bounding boxes for localization, which often contain irrelevant background information. …”
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U-net based approach for pectoralis muscle segmentation in digital mammography by Francesca Angelone, Alfonso Maria Ponsiglione, Roberto Grassi, Francesco Amato, Mario Sansone

“…This study aims to propose an automatic breast segmentation algorithm that combines traditional methods with Deep Learning methods limited only to the border region between the muscle and the breast. …”
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A hybrid object detection approach for visually impaired persons using pigeon-inspired optimization and deep learning models by Abdullah M. Alashjaee, Hussah Nasser AlEisa, Abdulbasit A. Darem, Radwa Marzouk

“…Training images are amplified and physically interpreted to bring more strength to the trained method. This study proposes a Hybrid Approach to Object Detection for Visually Impaired Persons Using Attention-Driven Deep Learning (HAODVIP-ADL) technique. …”
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Unraveling and rectifying the free-riding behavior among students in university flipped classrooms: a uninorm DEMATEL method by Shiyu Yan, Lisheng Jiang, Zhili Zuo, Lixuan An, Li Wang

“…Secondly, the unfairness indices of groups and the discount parameters of students are determined based on the comprehensive index. The discounted scores are employed to modify students' achievement to ensure fairness.ResultsA case study involving 57 students is presented to demonstrate the applicability of the proposed method, and a sensitivity analysis is conducted to assess its robustness. …”
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Deep Metric Learning-Assisted 3D Audio-Visual Speaker Tracking via Two-Layer Particle Filter by Yidi Li, Hong Liu, Bing Yang, Runwei Ding, Yang Chen

“…Then, a stable observation model is proposed with a designed Siamese network, which provides the similarity-based likelihood to calculate particle weights. The speaker position is estimated using an optimal particle set, which integrates the decisions from audio particles and visual particles. …”
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Integrating academic and professional integrity: a co-designed serious game for nursing students - a multi-methods study by Laura Creighton, Gary Mitchell, Conor Hamilton, Stephanie Craig, Patrick Stark, Nuala McLaughlin-Borlace, Christine Slade, Christine Brown Wilson

“…Suggesting that the integration of case-based learning within a serious game offers a proactive, rather than punitive, approach to academic misconduct education, with potential applicability across diverse cultural and professional contexts.…”
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Improved Visual SLAM Algorithm Based on Dynamic Scenes by Jinxing Niu, Ziqi Chen, Tao Zhang, Shiyu Zheng

“…This work presents a novel RGB-D dynamic simultaneous localization and mapping (SLAM) method that improves accuracy, stability, and efficiency of localization while relying on deep learning in a dynamic environment, in contrast to traditional static scene-based visual SLAM methods. …”
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DOLPHIN: A Mixed-Methods Study of a Parenting App to Nurture the First Two Years of Life in the Indian Context by Lakshmi Sravanti, Nandini Mundkur

“…With positive feedback and a focus on traditional practices and evidence-based content, it holds potential as a health-promotive and preventive intervention for holistic child development in the Indian context.…”
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Mental and speech development of children after cochlear implantation as a rehabilitation factor in the learning process: modern concepts and approaches by V. O. Kazitseva, E. V. Gutkevich

“…Methodology and research methods. The work was based on an activity-based and natural-scientific approach, as well as a cultural and historical concept of the formation of higher mental functions. …”
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Integrated and improved YOLOv8 and triangulated network method for extracting indicators in open-pit mine mining areas by LI Tianwen, LI Gongquan, LI Juntao

“…The research on remote sensing imagery of open-pit mines based on deep learning has provided a direction for the rapid identification and extraction of open-pit mining areas. …”
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Reexamining the Evidence-Based Practice Attitude Scale-36 (EBPAS-36) in a U.S. sample of trauma-focused treatment providers by Joshua P. Mersky, ChienTi Plummer Lee, Edwin Bacalso, Xiyao Liu

“…Abstract Background Mental health providers’ attitudes toward evidence-based practice are likely to influence what interventions they learn, implement, and sustain over time. …”
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MOTOR SKILL ACQUISITION INFLUENCES LEARNERS‘ VISUAL PERCEPTION IN GYMNASTICS by Thomas Heinen, Stefanie Mandry, Pia M. Vinken, Marc Nicolaus

“…No treatment was given to the participants of a control group. Landing position predictions were evaluated in a computer-based visual perception test prior to, and at the end of the methodical progression. …”
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Comparative evaluation of spatiotemporal methods for effective dengue cluster detection with a case study of national surveillance data in Thailand by Chawarat Rotejanaprasert, Kawin Chinpong, Andrew B. Lawson, Richard J. Maude

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Cucumber Leaf Segmentation Based on Bilayer Convolutional Network by Tingting Qian, Yangxin Liu, Shenglian Lu, Linyi Li, Xiuguo Zheng, Qingqing Ju, Yiyang Li, Chun Xie, Guo Li

“…The results of this study demonstrate the potential of our method for accurate recognition and segmentation of highly overlapping leaves in diverse agricultural environments, significantly contributing to the application of deep learning algorithms in smart agriculture.…”
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Advancing analytical and graphical methods for binary and ternary mixtures: The toxic interactions of divalent metal ions in human lung cells by James Y. Liu, Jonathan M. Beard, Saber Hussain, Christie M. Sayes

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