Visual analysis of fruit harvesting machine based on CiteSpace by YANG Daorina, ZHANG Fengkui, WANG Yulong, HE Ruohong, ZHU Jikui, LI Ping

“…Northwest A & F University standed out among many universities, and the number of publications ranked first, reflecting the positive investment and important contribution of Chinese universities in the field of fruit harvesting machinery research to a certain extent. …”
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PERAN MANAJEMEN KELAS DALAM MEWUJUDKAN PEMBELAJARAN YANG KREATIF by Sinta Dwiyana, Ade Akhmad Saputra

“…The research results show that classroom management plays an important role in creating a conducive learning environment, with a focus on positive interactions between teachers and students. …”
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Major aspects of STEM education based on U.S. government initiatives by Liliya Batyuk

“…Theoretical-generalizing method and interpretation method (for formulating and substantiating conclusions based on the results of the study) were also used. …”
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Development of STEM-based worksheets to improve student literacy skills by Cahaya Febriyanti Simanjuntak, H. Hasruddin, Daulat Saragi

“…This indicates that the STEM-based worksheets positively impact students' literacy abilities.   …”
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SAR Small Ship Detection Based on Enhanced YOLO Network by Tianyue Guan, Sheng Chang, Chunle Wang, Xiaoxue Jia

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Use, Usability, and Experience Testing of a Digital Health Intervention to Support Chronic Kidney Disease Self-Management: Mixed Methods Study by Courtney J Lightfoot, Thomas J Wilkinson, Roseanne E Billany, Gurneet K Sohansoha, Noemi Vadaszy, Ella C Ford, Melanie J Davies, Thomas Yates, Alice C Smith, Matthew P M Graham-Brown

“…Perceived usefulness of the MK&M sessions and features were collected via web-based surveys (scores were rated out of 10, where 0=“not useful at all” and 10=“very useful”). …”
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Analisis Manajemen Pembiayaan dalam Meningkatkan Efektivitas Pembelajaran Siswa SDN 235 Lengkong Kecil by Suharyanto H. Soro, Ahmad Rifandi, Winna Islamiyathi, Veranita Intan Palupy

“…The research results show that: (1) Financing management is carried out according to procedures involving all stakeholders so that it is transparent through readability of education quality reports, (2) Financing management is carried out professionally so that it can increase the effectiveness of learning quality. In other words, through proper financing management, school facilities and infrastructure are met according to the needs of the learning process so that school financing management has a positive impact on the efficiency and effectiveness of the quality of learning. …”
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Promoting critical reading instruction in higher education: a three-step training scheme facilitated by using corpus technology by Yang Jing, Mei Fang

“…This study examines the development of students’ cognitive skills through hands-on concordancing, also known as the inductive Data-driven learning (DDL) method (Cobb, T. 1997. Is there any measurable learning from hands-on concordancing? …”
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Clustering routing protocol based on improved PSO algorithm in WSN by Xiaonian WU, Chuyun ZHANG, Runlian ZHANG, Yaping SUN

“…Aiming at the problem that the location distribution of cluster head nodes filtered by wireless sensor network clustering routing protocol was unbalanced and the data transmission path of forwarding nodes was unreasonable,which would increase the energy consumption of nodes and shorten the network life cycle,a clustering routing protocol based on improved particle swarm optimization algorithm was proposed.In the process of cluster head election,a new fitness function was established by defining the energy factor and position equalization factor of the node,the better candidate cluster head node was evaluated and selected,the position update speed of the candidate cluster head nodes was adjusted by the optimized update learning factor,the local search and speeded up the convergence of the global search was expanded.According to the distance between the forwarding node and the base station,the single-hop or multi-hop transmission mode was adopted,and a multi-hop method was designed based on the minimum spanning tree to select an optimal multi-hop path for the data transmission of the forwarding node.Simulation results show that the clustering routing protocol based on improved particle swarm optimization algorithm can elect cluster head nodes and forwarding nodes with more balanced energy and location,which shortened the communication distance of the network.The energy consumption of nodes is lower and more balanced,effectively extending the network life cycle.…”
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Designing a model of effective marketing capabilities based on communication by Yoones Banisaeed, Ghanbar Amirnejad, Morteza mousakhani, Leila Andervazh

“…The results of the research showed that after core and optional coding and creation of main and sub-categories, six dimensions of effective marketing capabilities based on communication were identified, i.e. strategic capabilities, operational capabilities, functional capabilities, internal capabilities of the company, and external capabilities and communication as dimensions of effective marketing capability methods based on communication. …”
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Reduced Order Probabilistic Emulation for Physics‐Based Thermosphere Models by Richard J. Licata, Piyush M. Mehta

“…In response, this work aims to employ a probabilistic machine learning (ML) method to create an efficient surrogate for the Thermosphere Ionosphere Electrodynamics General Circulation Model (TIE‐GCM), a physics‐based thermosphere model. …”
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Optical flow estimation based on global cross information and dynamic encoder–dynamic decoder by Haoxin Guo, Yifan Wang, Xiaobo Guo

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Investigating methods to enhance interpretability and performance in cardiac MRI for myocardial scarring diagnosis using convolutional neural network classification and One Match. by Michael H Udin, Sara Armstrong, Alice Kai, Scott T Doyle, Saraswati Pokharel, Ciprian N Ionita, Umesh C Sharma

“…The highest classification performance was observed with the OM algorithm when enhanced by both AE and PLCs, 95.3% accuracy, 92.3% sensitivity, 96.7% specificity, 92.3% precision, and 92.3% F1-score, marking a significant improvement over the base configurations. AE alone had a positive impact on OM increasing accuracy from 89.0% to 93.2%, but decreased the accuracy of the CNN from 85.3% to 82.9%. …”
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Effects of feature selection and normalization on network intrusion detection by Mubarak Albarka Umar, Zhanfang Chen, Khaled Shuaib, Yan Liu

“…Thus, this study provides an in-depth analysis of feature selection and normalization effects on IDS models built using three IDS datasets: NSL-KDD, UNSW-NB15, and CSE–CIC–IDS2018, and various AI algorithms. A wrapper-based approach, which tends to give superior performance, and min-max normalization methods were used for feature selection and normalization, respectively. …”
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Impact of integration of traditional-didactic teaching with case-based teaching on phase I medical students' performance in physiology by Kshitija Patkar, Umesh Patkar, Neela Iyer

“…Results: Students' performance after case-based teaching improved significantly. Positive feedback was received from students and teachers about this teaching method. …”
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Deep learning algorithm on H&E whole slide images to characterize TP53 alterations frequency and spatial distribution in breast cancer by Chiara Frascarelli, Konstantinos Venetis, Antonio Marra, Eltjona Mane, Mariia Ivanova, Giulia Cursano, Francesca Maria Porta, Alberto Concardi, Arnaud Gerard Michel Ceol, Annarosa Farina, Carmen Criscitiello, Giuseppe Curigliano, Elena Guerini-Rocco, Nicola Fusco

“…The DL model exhibited high accuracy in tissue quantification and TP53 status prediction, outperforming traditional methods in terms of precision and efficiency. DL-based approaches offer significant promise for enhancing biomarker testing and precision oncology by reducing intra- and inter-observer variability, but further validation is required to optimize their integration into real-world clinical workflows. …”
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Design and implementation of a community-based rehabilitation curriculum for training multidisciplinary rehabilitation teams to serve people aging with disabilities by Zaliha Omar, Yohei Otaka, Eiichi Saitoh

“…Objectives: We aimed to design and implement a community-based rehabilitation (CBR) curriculum to promote community engagement by multidisciplinary teams. …”
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Unlocking early academic skills: children’s cognitive processes, learning skills, and parental beliefs and behaviors predicting children’s language and math skills by Anne-Mai Meesak, Dmitri Rozgonjuk, Tiia Õun, Eve Kikas, Eve Kikas

“…While previous research has concentrated on a limited number of skill areas and aspects of the home environment, this study aimed to provide a more comprehensive understanding of children’s early learning by studying multiple skills and parental characteristics concurrently.MethodsData was collected through direct e-assessments of children’s skills alongside parental questionnaires (N = 279).ResultsWe found positive relationships between children’s cognitive processes, language, math, and learning skills, emphasizing the importance of considering multiple skills together. …”
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Perceptions of Competency-Based Medical Education (CBME) Curriculum Among Indian Medical Students: A Cross-Sectional Analysis from ANIIMS, Port Blair by Mudit Sharma, Amit Kumar Kamboj, Rashmi Ramanathan, Vivin Vincent, Jeevithan Shanmugam

“…Results: Out of 144 participants, a high agreement was observed on the importance of foundational components such as Basic Life Support (100%) and Professionalism and Ethics (99%). CBME learning strategies, including Small Group Teaching and Self-Directed Learning, were positively endorsed, though batch based variations were noted. …”
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Synergistic Mechanisms Between Elderly Oriented Community Activity Space Morphology and Microclimate Performance: An Integrated Learning and Multi-Objective Optimization Approach by Fang Wen, Lu Zhang, Ling Jiang, Rui Tang, Bo Zhang

“…The study first explored the linear relationships between spatial morphology and environmental performance using the Spearman method. It then integrated ensemble learning and the interpretable machine learning model SHAP to reveal nonlinear relationships and boundary effects. …”
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