Relationship Between Lumbar Locked Rotation, Trunk Rotation During Pitching, and Pitch Velocity in High School Baseball Players by Shun Okamura, Kai Iida

“…Hip-shoulder separation and thoracic rotation angle during SFC were measured using a pitching motion analysis application: Pitch AI. In addition, a tracking device specifically designed for pitching：Pitching2.0 was employed to measure ball velocity. …”
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Evaluating ChatGPT in Generating Feedback on Content and Organization Components of EFL Compare and Contrast Essays by Berkan Çelik, Behice Ceyda Cengiz, Amine Hatun Ataş

“…The results suggest that while ChatGPT shows promise in providing educational feedback, teacher-AI collaboration in giving feedback for EFL compare and contrast essays is important for delivering feedback that optimally benefits learners.…”
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Urbane Erinnerungsorte als „villes-mirages“ in schwedischen Reiseberichten der 1990er Jahre by Thomas Mohnike

“…Cependant, il est toujours amené à faire le constat suivant : « J’ai cherché Königsberg, mais il s’agit de Kaliningrad ». …”
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Hydrophobicity and performance analysis of beverage and agricultural waste torrefaction for high-grade bio-circular solid fuel by Napat Kaewtrakulchai, Sutthipoj Wongrerkdee, Benjapon Chalermsinsuwan, Namfon Samsalee, Chao-Wei Huang, Kanit Manatura

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Improvement in Explicit Prediction of Water Quality Using Wavelet-Based LSSVR and M5pRT by Rashmi Bhardwaj, Aashima Bangia

“…Two sample situates have been identified wherever highly reported pollutants levels were found and have been analyzed through artificial intelligence (AI) techniques. It can be observed that wavelet denoised signals fed into the least squares support vector regression (LSSVR) and M5 prime regression tree (M5pRT) predicted more accurately on the basis of the performance errors that are as follows: (a) root mean squared error (RMSE); (b) mean squared error (MSE); (c) mean absolute error (MAE). …”
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Harnessing synergy of machine learning and nature-inspired optimization for enhanced compressive strength prediction in concrete by Abba Bashir, Esar Ahmad, Shashivendra Dulawat, Sani I. Abba

“…This study assesses nine machine learning models, integrating conventional AI algorithms, such as artificial neural network (ANN), support vector regression (SVR), and random forest (RF) with nature-inspired optimization techniques including chicken swarm optimization (CSO), moth flame optimization algorithm (MFO), and whale optimization algorithm (WOA). …”
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Recent advances in the structure and immunomodulatory activity of food-derived glycoprotein complex by Yu Zhong, Jiangxiong Zhu, Bifen Zhu, Hao Yin, Danfeng Wang, Yun Deng, Minyan Zhang, Chunrong Zhang

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Short‐Term and Long‐Term Memory Functionality of a Brain‐Like Device Built from Nanoparticle Atomic Switch Networks by Oradee Srikimkaew, Saman Azhari, Deep Banerjee, Yuki Usami, Hirofumi Tanaka

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Enhancing security and efficiency in Mobile Ad Hoc Networks using a hybrid deep learning model for flooding attack detection by Pramodh Krishna D., E. Sandhya, Khaja Shareef Sk, Srihari Varma Mantena, Venkata Subbaiah Desanamukula, Ch Koteswararao, Srinivasa Rao Vemula, Maruthi Vemula

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Diabetic microangiopathies: mechanisms of development, approaches to the therapy by Birukova E.V, Shinkin M.V.

“…²<br> <br> ¹ A.I. Yevdokimov Moscow State University of Medicine and Dentistry<br> ²The Loginov Moscow Clinical Scientific Center<br> <br> Diabetes mellitus of the first and second type is a chronic disease associated with the development of vascular complications, the prevention of which is one of the most important tasks of modern medicine. …”
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An Efficient Detector for Automatic Tomato Classification Systems by Duy-Linh Nguyen, Xuan-Thuy Vo, Adri Priadana, Jehwan Choi, Kang-Hyun Jo

“…The model was trained and evaluated using four benchmarks, including the Laboro Tomato, Tomato Plantfactory, Sai Gon University, and CubeAI datasets. It achieved the best performance at 89.8% of mAP@0.5 and 65.2% of mAP@0.5:0.95 on the Tomato Plantfactory dataset. …”
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Pre-Progettazione Strategica in Territori Piè-Montani: Il Caso Della Zona Omogenea Pinerolese by Maria Anna Bertolino

“…Inoltre, alle spinte interne si sommano quelle esterne: dalla ristrutturazione amministrativa della Città metropolitana di Torino alla Strategia macroregionale Eusalp viene richiesta ai territori di medie dimensioni, quali la Zona omogenea Pinerolese, un’azione pubblica congiunta tra territori urbani e montani al fine di raggiungere una maggiore competitività territoriale mediante da un lato la strutturazione di un’offerta alternativa alla metropoli in termini di beni e servizi, dall’altro regolando in modo innovativo l’interscambio città-montagna.…”
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Educação brasileira: a complexidade e a polissemia de seus destinos contemporâneos by Carlos Augusto Viana, José Rogério Santana

“…Subjetividade esta que tanto se refere à formação das atividades conscientes envolvidas na apreensão do real em jogo no referido processo - incluindo-se aí as formações ideológicas - , como também a que nos remete ao trabalho do inconsciente.A coletânea “ Educação Brasileira: rumos e prumos” é um exemplo vivo desse estado da produção do conhecimento acer- ca da realidade educacional do nosso país no momento atual, tal é a diversidade de temas e de disciplinas das mais diversas como de práticas culturais e, mesmo leigas, que nos informam sobre a pertinência das - lidade de procurar delimitar o que vem a ser tarefa de todos: os referidos rumos e os prumos de nossa Educação. …”
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Enhancing foundation models for scientific discovery via multimodal knowledge graph representations by Vanessa Lopez, Lam Hoang, Marcos Martinez-Galindo, Raúl Fernández-Díaz, Marco Luca Sbodio, Rodrigo Ordonez-Hurtado, Mykhaylo Zayats, Natasha Mulligan, Joao Bettencourt-Silva

“…We seek to exploit MKGs to improve generative AI models’ ability to capture intricate domain-specific relations and facilitate multimodal fusion. …”
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Key Intelligent Pesticide Prescription Spraying Technologies for the Control of Pests, Diseases, and Weeds: A Review by Kaiqiang Ye, Gang Hu, Zijie Tong, Youlin Xu, Jiaqiang Zheng

“…In addition, this study discusses the future development prospectives of IPPS technologies, including multifunctional target information acquisition systems, decision-support systems based on generative AI, and the development of precision intelligent sprayers. …”
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Combined effects of Tai-Chi gait with mediolateral ground support perturbation on dynamic balance control by Jacob Smith, Troilyn Jackson, Wei Liu, Jonathan Gelfond, Hao-Yuan Hsiao

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Machine Learning for Promoting Environmental Sustainability in Ports by Meead Mansoursamaei, Mahmoud Moradi, Rosa G. González-Ramírez, Eduardo Lalla-Ruiz

“…The application of machine learning (ML), as one of the main subdomains of artificial intelligence (AI), can be considered a component within the process of digital transformation to advance green activities in maritime port logistics. …”
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The impact of digital techologies on the tranformation of the labor market and recruitment by Оleg Havryliuk, Taras Bozhydarnik

“…It is proven that the key to effective digitization of recruiting is the use of the latest technologies such as artificial intelligence (AI), augmented reality (AR), virtual reality (VR), etc. …”
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Transmission line trip faults under extreme snow and ice conditions: a case study by Guojun Zhang

“…Moreover, the integration of unmanned aerial vehicles (UAVs) and artificial intelligence (AI)-based fault detection tools presents promising opportunities for improving remote monitoring capabilities and enabling proactive maintenance interventions. …”
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Hybrid Frequency–Spatial Domain Learning for Image Restoration in Under-Display Camera Systems Using Augmented Virtual Big Data Generated by the Angular Spectrum Method by Kibaek Kim, Yoon Kim, Young-Joo Kim

“…These results highlight the potential of our integrated optics and AI-based methodology in addressing image restoration challenges within UDC systems and advancing the quality of display technology in smartphones.…”
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