Quality assessment program of the teaching activity of the higher education faculty staff. A case study by Carlos Llopis-Albert, Francisco Rubio, Shouzhen Zeng, Carlos Devece, María Eugenia Torner-Feltrer

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Analysis of the Full Spitzer Microlensing Sample. I. Dark Remnant Candidates and Gaia Predictions by Krzysztof A. Rybicki, Yossi Shvartzvald, Jennifer C. Yee, Sebastiano Calchi Novati, Eran O. Ofek, Ian A. Bond, Charles Beichman, Geoff Bryden, Sean Carey, Calen Henderson, Wei Zhu, Michael M. Fausnaugh, Benjamin Wibking, The Spitzer Team, Andrzej Udalski, Radek Poleski, Przemek Mróz, Michał K. Szymański, Igor Soszyński, Paweł Pietrukowicz, Szymon Kozłowski, Jan Skowron, Krzysztof Ulaczyk, Patryk Iwanek, Marcin Wrona, The OGLE Collaboration, Yoon-Hyun Ryu, Michael D. Albrow, Sun-Ju Chung, Andrew Gould, Cheongho Han, Kyu-Ha Hwang, Youn Kil Jung, In-Gu Shin, Hongjing Yang, Weicheng Zang, Sang-Mok Cha, Dong-Jin Kim, Hyoun-Woo Kim, Seung-Lee Kim, Chung-Uk Lee, Dong-Joo Lee, Yongseok Lee, Byeong-Gon Park, Richard W. Pogge, The KMTNet Collaboration, Fumio Abe, Richard Barry, David P. Bennett, Aparna Bhattacharya, Akihiko Fukui, Ryusei Hamada, Shunya Hamada, Naoto Hamasaki, Yuki Hirao, Stela Ishitani Silva, Yoshitaka Itow, Rintaro Kirikawa, Naoki Koshimoto, Yutaka Matsubara, Shota Miyazaki, Yasushi Muraki, Tutumi Nagai, Kansuke Nunota, Greg Olmschenk, Clement Ranc, Nicholas J. Rattenbury, Yuki K. Satoh, Takahiro Sumi, Daisuke Suzuki, Paul. J. Tristram, Aikaterini Vandorou, Hibiki Yama, MOA collaboration, Łukasz Wyrzykowski, Kornel Howil, Katarzyna Kruszyńska

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What Should We Know to Predict Geomagnetically Induced Currents in Power Transmission Lines? by Pilipenko Vyacheslav, Kozyreva Olga, Belahovskiy Vladimir, Sakharov Yaroslav, Selivanov Vasiliy

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Uncertainty quantification in tree structure and polynomial regression algorithms toward material indices prediction by Geng-Fu He, Pin Zhang, Zhen-Yu Yin

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Closed-Loop Clustering-Based Global Bandwidth Prediction in Real-Time Video Streaming by Sepideh Afshar, Reza Razavi, Mohammad Moshirpour

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PRAGMATICS OF RELEVANCE IN MODERN RUSSIAN TEXT-DESCRIPTION (DERIVED FROM LITERARY AND EDUCATIONAL SCIENTIFIC TEXTS) by Sergei Gusarenko

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Physical activity of students in the opinion of physical education teachers from secondary schools in Biała Podlaska by Filip Łukasz Korpak, Joanna Baj-Korpak

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Dysphagia education in Addis Ababa, Ethiopia: student self-competency ratings during their dysphagia course by Sana Smaoui, Sandhya Ganesan, Trish Williams

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Determinants of Students’ STEM Attitudes in Primary School: Reading Experience, Preschool Education and Career Choice by Duygu Sarı, Mehmet Katrancı, Uğur Sarı

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Predicting Individualized Joint Kinematics Over Continuous Variations of Walking, Running, and Stair Climbing by Emma Reznick, Cara Gonzalez Welker, Robert D. Gregg

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Continuous Speech-Based Fatigue Detection and Transition State Prediction for Air Traffic Controllers by Susmitha Vekkot, Surya Teja Chavali, Charan Tej Kandavalli, Rama Sai Abhishek Podila, Deepa Gupta, Mohammed Zakariah, Yousef Ajami Alotaibi

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Penalty Strategies in Semiparametric Regression Models by Ayuba Jack Alhassan, S. Ejaz Ahmed, Dursun Aydin, Ersin Yilmaz

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An Integrated Method for High-Dimensional Imbalanced Assembly Quality Prediction Supported by Edge Computing by Yixiong Feng, Tianyue Wang, Bingtao Hu, Chen Yang, Jianrong Tan

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Graph-Based Prediction of Spatio-Temporal Vaccine Hesitancy From Insurance Claims Data by Sifat Afroj Moon, Rituparna Datta, Tanvir Ferdousi, Hannah Baek, Abhijin Adiga, Achla Marathe, Anil Vullikanti

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Arctic tern-optimized weighted feature regression system for predicting bridge scour depth by Jui-Sheng Chou, Asmare Molla

“…This paper presents a pioneering artificial intelligence (AI) solution – the Arctic Tern-Optimized Weighted Feature Least Squares Support Vector Regression (ATO-WFLSSVR) system to aid civil engineers in accurately predicting scour depth at bridges. This prediction system amalgamates the strengths of hybrid models by uniting a metaheuristic optimization algorithm with weighted features and least squares support vector regression (WFLSSVR). …”
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Temperament, Emotion Regulation, and Affective Family Climate in Predicting Oppositional Behaviors in Male Adolescents by parsa javanmard, Farnaz Farshbaf

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THE DESCRIPTION OF THE MODEL OF A GAMIFICATION-BASED ENVIRONMENT FOR BUSINESS SIMULATION USING THE UNIFIED MODEL LANGUAGE (UML) METHODS by Victor TIȚA, Daniel NIJLOVEANU, Doru Anastasiu POPESCU, Nicolae BOLD

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Building Professional Skills and Reducing Student Stress with Competency-based Education: An Exploratory Case Study by Ajay Rampersad, Noah Gentner

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Current situation and reform trend of medical practical course teaching mode in the "AI+Education" era by CHENG Shan, CONG Lin, HU Wendong, XIONG Kaiwen, MA Jin

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Patterns, Trends and Policy Processes in Spanish Secondary Education: Multiple Streams in a Multilevel Context by Eliseo López Sánchez, Esther del Campo

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