Crossword Puzzle as an Effective Formative Assessment Tool in Physiology—From Trial for Implementation in Competency-Based Medical Education by C N Veena, Farah Naaz Fathima, T M Nandan, Ishwara Bhat, M Prashanth Kumar

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Cultural Da'wah Method of Rapai Geleng During The Golden Ege: An Analytical Approach to Islamic Religious Education in Aceh by Al Fazzatil A'la, Al Farahil A’la

“…The method of cultural da'wah is able to create a fun, creative, and local culture-based learning environment, which effectively increases interest in learning and understanding Islam. …”
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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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Development and Validation of a Cost-Effective Machine Learning Model for Screening Potential Rheumatoid Arthritis in Primary Healthcare Clinics by Wu W, Hu X, Yan L, Li Z, Li B, Chen X, Lin Z, Zeng H, Li C, Mo Y, Wu Y, Wang Q

“…Our findings contribute positively and are poised to elevate prospective RA management, fostering improvements in healthcare sector responsiveness and resource efficiency.Keywords: rheumatoid arthritis, machine learning, primary health care…”
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Students’ experiences of interprofessional learning by simulating the Swedish concept of coordinated individual care in primary healthcare: a qualitative analysis by Pernilla Alencar Siljehag, Sofie Guldbrand, Helena Sohlman, Marina Taloyan

“…and (2) What is the novelty of using the CIP meeting with regards to the ICCAS (Interprofessional Collaborative Competency Attainment Survey) - self-assessment scale of IPL competences? Method and material The current study is based on a qualitative evaluation of 12 learning activities carried out over a one-year period. …”
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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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Factors influencing undergraduate and newly graduated nursing students’ competence and attitudes toward nursing research: a structural equation modeling analysis by Abdulaziz Mofdy Almarwani

“…Abstract Background Nursing research is integral to advancing evidence-based practice (EBP), providing the foundation for informed decision-making in the nursing profession. …”
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The impact of academic burnout on academic achievement: a moderated chain mediation effect from the Stimulus-Organism-Response perspective by Zhenkai Qin, Zhenkai Qin, Guifang Yang, Ziqian Lin, Yimin Ning, Xiaolong Chen, Hongfeng Zhang, Cora Un In Wong

“…Moreover, educational values can significantly moderate the relationship between academic burnout and learning achievement. Based on the empirical findings, the study proposes three recommendations for improving students' learning achievements: Improve students' learning satisfaction; Strengthen the development of students' learning engagement; Enhance the positive influence of educational values. …”
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A Spatio-Temporal Deep Learning Model for Automatic Arctic Sea Ice Classification with Sentinel-1 SAR Imagery by Li Zhao, Yufeng Zhou, Wei Zhong, Cheng Jin, Bo Liu, Fangzhao Li

“…Furthermore, to reduce the impact of data imbalance on model performance, the dynamic curriculum learning (DCL) method is used to train the Dynamic MLP model. …”
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Number of intraepithelial lymphocytes and presence of a subepithelial band in normal colonic mucosa differs according to stainings and evaluation method by Anne-Marie Kanstrup Fiehn, Peter Johan Heiberg Engel, Ulla Engel, Dea Natalie Munch Jepsen, Thomas Blixt, Julie Rasmussen, Signe Wildt, Wojciech Cebula, Andreea-Raluca Diac, Lars Kristian Munck

“…Basic histological features, number of IELs, and thickness of a subepithelial band was manually evaluated and a deep learning-based algorithm was developed to digitally determine the number of IELs in each of the two compartments; surface epithelium and cryptal epithelium, and the density of lymphocytes in the lamina propria compartment. …”
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Professional Action Competence in Education for Sustainability Among Pre-service Physical Education Teachers: A Mixed Method Approach by Valérian Cece, Thomas Royet, Olivier Vors, Vanessa Lentillon-Kaestner

“…This approach emphases the bodily dimension, learning through action, and affective and sensory aspects. …”
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Continuous genetic algorithm for grasping an object of a priori unknown shape by a robotic manipulator by A. D. Voronkov, S. A.K. Diane

“…One of the primary stages of providing the interaction of the robotic manipulator with objects is the search for the target position of the robot gripper based on the onboard sensor subsystem, which can be carried out by a number of methods. …”
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Exploring the impact of community gardens and community kitchens on mental health: a scoping review by Rade Zinaic, Tania Correa, Egbe Etowa, Raliat Owolabi, Yamini Bhatt, Josephine Pui-Hing Wong

“…Participants engaged in community gardens (CGs) processes experience many positive outcomes, from social networking to intimacy with nature. …”
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PROFESSIONAL SEMINAR "BASIS OF PROFESSIONALISM OF TEACHER OF GENERAL SECONDARY EDUCATION INSTITUTION" IN DUAL EDUCATION SYSTEM OF MASTERS "SECONDARY EDUCATION (MATHEMATICS)" SPECIA... by Олександр Школьний

“…This seminar is designed to quickly respond to current problems of young teachers that arise in the process of adapting to working conditions at school. Materials and methods. To achieve the aims of the article, we use empirical methods: our own survey using an electronic tool (Google forms), monitoring the learning process of students, as well as analysis of the results of their achievements. …”
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FireCLIP: Enhancing Forest Fire Detection with Multimodal Prompt Tuning and Vision-Language Understanding by Shanjunxia Wu, Yuming Qiao, Sen He, Jiahao Zhou, Zhi Wang, Xin Li, Fei Wang

“…To address these challenges, we explore the use of visual language models to differentiate between true alarms and false alarms. Additionally, our method incorporates a prompt tuning strategy which helps to improve performance by at least 12.45% in zero-shot learning tasks and also enhances performance in few-shot learning tasks, demonstrating enhanced regional generalization compared to baselines.…”
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Establishing a differential diagnosis model between primary membranous nephropathy and non-primary membranous nephropathy by machine learning algorithms by Shangmei Cao, Shaozhe Yang, Bolin Chen, Xixia Chen, Xiuhong Fu, Shuifu Tang

“…Context Four algorithms with relatively balanced complexity and accuracy in deep learning classification algorithm were selected for differential diagnosis of primary membranous nephropathy (PMN).Objective This study explored the most suitable classification algorithm for PMN identification, and to provide data reference for PMN diagnosis research.Methods A total of 500 patients were referred to Luo-he Central Hospital from 2019 to 2021. …”
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Vehicle Localization in IoV Environments: A Vision-LSTM Approach with Synthetic Data Simulation by Yi Liu, Jiade Jiang, Zijian Tian

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Detection and Mitigation of Distributed Denial of Service Attacks Using Ensemble Learning and Honeypots in a Novel SDN-UAV Network Architecture by Mohamed Amine Ould Rabah, Hamza Drid, Yasmine Medjadba, Mohamed Rahouti

“…These methods may struggle with new and sophisticated attack patterns, leading to higher false positives and negatives. …”
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Pedagogical grammar as a frame concept for research in the field of foreign language teaching methods. Part 17. Linguistic and pedagogical grammar by L. Chernovaty

“…Does the amount and type of PG depend on specific learning objectives and conditions? What are the best ways of presenting PG information for its effective use in the learning process? …”
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Transfer learning drives automatic HER2 scoring on HE-stained WSIs for breast cancer: a multi-cohort study by Xiaoping Li, Zhiquan Lin, Chaoran Qiu, Yiwen Zhang, Chuqian Lei, Shaofei Shen, Weibin Zhang, Chan Lai, Weiwen Li, Hui Huang, Tian Qiu

“…Each WSI underwent adaptive scale cropping. The transfer-learning-based probabilistic aggregation (TL-PA) model and multi-instance learning (MIL)-based models were compared, both of which were trained on Cohort A and validated on Cohorts B–D. …”
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