Effects of Neuromuscular Training on Performance and Injury Prevention in Youth Team Sports: Development of an Evidence-Based Educational Program by Markus Tschopp, Nicklaus Hess, Pascal Andrey, Adrian Rothenbühler, Fabian Studer

“… • Creation of a roadmap based on scientific evidence and expert knowledge…”
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Struggles at the ‘Peripheries’: Situated knowledge production and feminist visions for post-extractive environments by Karin Reisinger

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An improved dung beetle optimizer based on Padé approximation strategy for global optimization and feature selection by Tianbao Liu, Lingling Yang, Yue Li, Xiwen Qin

“…First, a novel population initialization strategy based on a hybrid tent-sine map and random opposition-based learning was proposed to generate initial population. …”
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Interdisciplinary perspectives on accessing specialty evidence-based treatment for Medicaid-insured adolescents with eating disorders by Peyton Crest, Siena S. Vendlinski, Renee Borges, John Landsverk, Erin C. Accurso

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Adapting Vision Transformer-Based Object Detection Model for Handwritten Text Line Segmentation Task by Osman Furkan KARAKUŞ, Ayla GULCU, Ali Can KARACA

“…Both object detection-based methods involve a learning phase during which the model is trained or fine-tuned on the dataset. …”
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An innovative approach to addressing gender-based violence and adverse childhood experiences: An evaluation of the Alliance against Violence and Adversity (AVA) community agency in... by Ashley Stewart-Tufescu, Stefan Kurbatfinski, Kharah Ross, Carrie Pohl, Ian D. Graham, Nicole Letourneau

“…Background: Gender-based violence (GBV) and Adverse Childhood Experiences (ACEs) are associated with numerous detrimental health, social and economic impacts across the life course. …”
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The effect of blended education on mental health, academic motivation and academic involvement in students of Payam Noor University by Hossien Najafi, Eisa Jafari, Ali Moghadamzadeh, Ali Salmani

“…From the statistical population of 721 students of Payam Noor Khalkhal University in the academic year of 2023-2024, using the purposeful sampling method, based on the Kerlinger formula, 60 people were randomly divided into two groups of 30 people, an experimental group and an alternative control group were replaced. …”
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The moderating effect of self-efficacy on the relationship between parents and children and academic participation, considering the mediating variable of learning adaptation among... by meysam karamipour, samaneh mataji, rezvaneh kazem nezhad, maryam esfandyari

“…(Zhaang et al, 2021) Learning adaptability is defined as a person's ability to maintain a positive attitude. …”
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Correlation Analysis of Knowledge Creation with Motivation of Coursera Platform Users Based on SECI-Nonaka Model by Nurul Habib Romadhan, Yeni Dwi Novelawaty, Muhammad Hanif Ashshiddiqi, Ayudya Tri Nardanti, Boby Prabowo

“…This research focuses on how the knowledge creation process based on the SECI model (Socialization, Externalization, Combination, Internalization) has a correlation with user motivation in using the Coursera online learning platform. …”
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Investigating the use of the HIS-based BOPPPS teaching model in medical imaging experimental course instruction by Ziqing Yang, Siyu Zhen, Ben Pan, Hanyu Wei, Qiang Li, Junyan Yue, Ying Hu, Changhua Liang

“…Conclusion The HIS-based BOPPPS teaching model has significantly enhanced teaching effectiveness, particularly in case analysis and clinical thinking skills, outperforming traditional teaching methods. …”
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Identifying the Effective Factors in the Development of Creative Tourism at Heritage Sites by Amir Mohammad Moazezi Mehr-e-Tehran

“…Criteria and Components Place CreativityCocreationLearning EnvironmentInclusivityHeritage DiversityCreative Experience Place ResponsibilitySafety and SecurityAccessibilityInfrastructure Economic VitalityMarketing and PromotionSense of PlaceHolistic DevelopmentCapacities Materials & MethodsThis study employed a mixed-methods approach, integrating both qualitative and quantitative research through the fuzzy Delphi method. …”
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Recurrence-Based Techniques for Data-Driven Fault Diagnosis and Monitoring in Neutral-Point-Clamped Inverters by Lincoln Moura De Oliveira, Menaouar Berrehil El Kattel, Esio Eloi Dos Santos Filho, Juan C. Vasquez, Josep M. Guerrero, Fernando Luiz Marcelo Antunes

“…Unlike conventional deep learning-based approaches, the proposed method requires minimal data, offers high interpretability, and enhances the feature extraction process by capturing nonlinear dynamics and hidden patterns in the time-series data, which are often not accessible through traditional statistical or spectral techniques. …”
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Archetype Identification and Energy Consumption Prediction for Old Residential Buildings Based on Multi-Source Datasets by Chengliang Fan, Rude Liu, Yundan Liao

“…Previous studies on old residential building energy assessment face challenges due to data limitations and inadequate prediction methods. This study develops a novel approach integrating building energy simulation and machine learning to predict large-scale old residential building energy use using multi-source datasets. …”
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A dual attentional skip connection based Swin‐UNet for real‐time cloud segmentation by Fuhao Wei, Shaofan Wang, Yanfeng Sun, Baocai Yin

“…Abstract Developing real‐time cloud segmentation technology is urgent for many remote sensing based applications such as weather forecasting. Existing deep learning based cloud segmentation methods involve two shortcomings. …”
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Empiric: A Card Game for Guideline-Based Antibiotic Prescribing Used for Continuing Medical Education by Michael Cosimini, Diego Molina Ochoa, Diana Yu, Alison Chiang

“…This novel workshop instead targets practitioners pursuing CME and demonstrates the utility of games for learning in a new audience. Methods A card game using a scoring system designed to emphasize the use of narrow-spectrum antibiotics and observation without antibiotics was developed iteratively over 5 years. …”
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Transformer-based modeling of Clonal Selection and Expression Dynamics reveals resistance mechanisms in breast cancer by Nathan D Maulding, Jun Zou, Wei Zhou, Ciara Metcalfe, Joshua M Stuart, Xin Ye, Marc Hafner

“…Such heterogeneity can be captured by in vitro studies through clonal barcoding methods. We present TraCSED (Transformer-based modeling of Clonal Selection and Expression Dynamics), a dynamic deep learning approach for modeling clonal selection. …”
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Person Recognition from Gait Analysis for Smart Spaces by using MLP-based DNN model by Cüneyt Yücelbaş

“…Since the increase in the diversity of the data will positively affect the learning of the created model, data augmentation has been made and these data have been classified in the MLP-based DNN model. …”
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Leveraging time-based spectral data from UAV imagery for enhanced detection of broomrape in sunflower by Guy Atsmon, Anna Brook, Tom Avikasis Cohen, Fadi Kizel, Hanan Eizenberg, Ran Nisim Lati

“…This study demonstrates the potential of UAV-based multispectral imaging combined with advanced machine learning (ML) techniques for early detection of broomrape infestations in sunflower crops, offering insights for managing similar infestations in other crops.…”
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Contriving IT-Based Integrated Skills Approach (ITBISA) for Students’ English Proficiency and Digital Literacy Skills by Didit Kurniadi, Issy Yuliasri, Sri Wahyuni, Zulfa Sakhiyya

“… Contriving technology is a trend in current TEFL in higher education. IT-Based Integrated Skills Approach (ITBISA) combines IT-based approaches with the EFL education method, ISA (Integrated Skills Approach). …”
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Transurethral resection of bladder tumor: A systematic review of simulator-based training courses and curricula by Panagiotis Kallidonis, Angelis Peteinaris, Gernot Ortner, Kostantinos Pagonis, Costantinos Adamou, Athanasios Vagionis, Evangelos Liatsikos, Bhaskar Somani, Theodoros Tokas

“…Conclusion: Simulators and courses or curricula based on a simulator training could be a valuable learning tool for any surgeon, and there is no doubt that they should be a part of every urologist's technical education.…”
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