A Novel MPE-LPP-ELM Recognition Method for the Fault Diagnosis of Spiral Bevel Gears by Jiang Lingli, Tan Hongchuang, Li Xuejun, Yang Dalian

“…When compared with traditional neural networks, it has been found that extreme learning machines (ELMs) have the advantages of faster training speeds and stronger learning abilities. …”
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Technique on Vehicle Damage Assessment After Collisions Using Optical Radar Technology and Iterative Closest Point Algorithm by Shih-Lin Lin, Yi-Hsuan Chen

“…The obtained point cloud data is processed using 3D reconstruction techniques to create virtual vehicle models. …”
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Role of information and communication technology in development of instruction ‎and science of nursing from the view point of nursing students at Shahrekord ‎Medical Sciences Unive... by ali dehkordi

“…To achieve objective, descriptive statistics and SPSS software for ‎data analysis was used.‎ Results: Findings of research showed that majority of research subjects (‎‏59%‏‎) were ‎interested in nursing. …”
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Sustainable building: Achieving thermal comfort in hot and humid climate using building performance simulation by Niniek Pratiwi, Abdi Gunawan Djafar, Rahmayanti Rahmayanti, Nur Mutmainnah, Arlan Kaharu

“…At the same time, thermal comfort is also a critical factor influencing human productivity, including academic performance. Comfortable learning environments are known to enhance students’ learning outcomes. …”
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‘I felt I belonged’: A qualitative study of role modelling and team integration as key drivers of primary care career choice by Eva Pfarrwaller, Camille Laurent, Johanna Sommer, Anne Baroffio, Dagmar M. Haller, Hubert Maisonneuve

“…Data were thematically analysed to identify key themes related to student integration, well-being, and supervisor role modelling.Results Analysis revealed four key domains where primary care physicians can positively influence students’ career interest: onboarding students effectively, fostering positive and inclusive team dynamics, involving students in patient care, and providing high-quality supervision and feedback. …”
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Prophylactic Use of Troxerutin Can Delay the Development of Diabetic Cognitive Dysfunction and Improve the Expression of Nrf2 in the Hippocampus on STZ Diabetic Rats by Songyun Zhang, Lingling Yuan, Lihui Zhang, Caige Li, Jie Li

“…The superoxide dismutase (SOD) activity, malondialdehyde (MDA) content, mRNA level, and protein level of Nrf2 were measured. Data were collected and analyzed by the statistical software package SPSS 19.0, which included one-way analysis of variance with completely randomized design. …”
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DIGITAL AND NON-DIGITAL GAMES IN YOUNG LEARNER EFL CLASSROOMS AT WARTIME IN UKRAINE by Ilona Huszti, Enikő Nagy-Kolozsvári, Márta Fábián

“…An online questionnaire was designed to collect data from our participants aged 10-13. The questionnaire was then administered to the children, and a total of 175 completed questionnaires yielded valuable results that formed the foundation of the study’s analysis. …”
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The effect of playing playdough and collage on improving fine motor skills in early childhood in terms of independence by Ridho Gata Wijaya, Darizal Darizal, Muhamad Ichsan Sabillah, Faza Annasai, Ebtana Sella Mayang Fitri

“…The instruments used to measure fine motor use are (1) pattern thickening test, (2) coloring test, (3) Patterning test (4) scissors test, (5) bead crocheting test with string thread. The data analysis technique used is ANOVA two-way. Among early childhood, playdough play models outperform collage play models with a high level of independence. …”
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Assessing the relationship between teaching quality and satisfaction with clinical teachers among medical students: a correlational cross-sectional study by Keyvan Amini, Meisam Salehzadeh, Reza Noktehsanj

“…The highest mean score for teaching quality was related to professional attitude towards students (3.46±0.83), while the lowest was for the teaching and learning environment (3.28±0.68). Multiple linear regression analysis revealed that subscales of teaching quality (student assessment and feedback) and residence status were predictors of satisfaction with clinical teachers, accounting for 31.4% of the total variance (F=9.908, p<0.001).Conclusion The study highlights that regular and constructive feedback is pivotal for promoting student development in clinical education. …”
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Development of interpretable intelligent frameworks for estimating river water turbidity by Amin Gharehbaghi, Salim Heddam, Saeid Mehdizadeh, Sungwon Kim

“…USGS 14206950 and USGS 14211720) were selected as a case study. 70% and 30% of whole data were utilized as the training and validation datasets when developing the models, respectively. …”
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Effects of training needs assessment in enhancing employees’ skills and firm performance by Neema Robert, Neema Mori

“…Purpose – Work-based learning is critical for enhancing employees’ skills and contributing to the firm’s performance. …”
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Integrating Renewable Energy with Internet of Things (IoT): Pathways to a Smart Green Planet by Shojib Mia, Firoz Ahmed, Ibrahim Khan, Md. Emamul Kabir, Mehedi H. Roni, Khadijatul Cobra, Anjuman Ara Khatun, Shahriar Mahmud

“…The global use of IoT-enabled devices powered by renewable energy can create a smart, efficient, and eco-friendly network. By leveraging data analytics and machine learning, these systems can predict energy consumption, optimize resources, and maintain renewable energy assets proactively. …”
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The Planners’ Perspective on Train Timetable Errors in Sweden by Carl-William Palmqvist, Nils O. E. Olsson, Lena Winslott Hiselius

“…However, relatively little attention has been paid to the people who plan the timetables: the research has instead been more centred on how to improve timetables through simulation, optimisation, and data analysis techniques. In this study, we present an overview of the state of practice and the state of the art in timetable planning by studying the research literature and railway management documents from several European countries. …”
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Framework of AI Literacy for Multi-role Capabilities in Future Education: Based on Typical Cases of "AI + Higher Education" Application Scenarios by Qiong LIU, Xing LIU, Guifeng LIU

“…For teachers, the skills required are innovative teaching and technological integration; for students, active learning and diversified skills; for administrators, forward-thinking leadership and data-driven decision-making; and for educational support staff, intelligent integration of services and resources. …”
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MRI Delta-Radiomics and Morphological Feature-Driven TabPFN Model for Preoperative Prediction of Lymphovascular Invasion in Invasive Breast Cancer by Yunhua Li BS, Jianfeng Yang MS, Pan Xiao MS, Haibo Liu BS, Yingjun Zhou BS, Xiuqi Yang MS, Gangwen Chen BS, Zhichao Zuo PhD

“…Conclusion Delta-radiomics analysis shows potential for predicting preoperative LVI in IBC patients. …”
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Improving patient safety through better teamwork: how effective are different methods of simulation debriefing? Protocol for a pragmatic, prospective and randomised study by Wolf E Hautz, Juliane E Kämmer, Julia Freytag, Fabian Stroben, Dorothea Eisenmann

“…Debriefing after simulation is thought to be crucial to learning teamwork-related concepts and behaviours but it remains unclear how best to debrief these aspects. …”
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Improving and supporting quality of care in Dutch nursing homes: a quantitative study by Bellis van den Berg, Marrit B. Zuure, Paulien Vermunt, Mariëlle Zondervan-Zwijnenburg, Mirella Minkman

“…A multilevel model demonstrated that the themes Learning and improvement, Responsive workforce and Use of resources were statistically significant associated with positive care outcomes. …”
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Feature-based enhanced boosting algorithm for depression detection by Muhammad Sadiq Rohei, Kasturi Dewi Varathan, Shivakumara Palaiahnakote, Nor Badrul Anuar

“…Fortunately, machine learning and deep learning techniques have demonstrated excellent results in the early detection of depression using social media data. …”
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LATAR BELAKANG KONSEPSI PARALEL MAHASISWA PENDIDIKAN FISIKA DALAM MATERI DINAMIKA by S. Linuwih, A. Setiawan

“…Based on to the results of the qualitative analysis in both treatments, there are two conclusions.…”
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Adaptive Early Wildfire Monitoring Based on Spatiotemporal Prediction and Himawari 8/9 by Zekun Xu, Zhaoming Zhang, Guojin He, Shuaizhang Zhang, Tengfei Long, Guizhou Wang

“…Furthermore, high-confidence early fire points are determined through dual-band analysis and land cover detection. Comparative experiments utilizing Himawari-8/9 satellite data reveal that the proposed method outperforms traditional techniques as well as the latest temporal methods, achieving an accuracy of 0.995, precision of 0.985, recall of 0.946, and an F1 score of 0.965. …”
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