Analisis Kemandirian Belajar Siswa Sekolah Dasar by Siti Zulaiha, Tika Meldina, Yulisti Ariani

“… The background of this research is that student learning independence in thematic learning at SDN 125 Rejang Lebong is a major part of the problems students face in learning due to the lack of student independence in carrying out thematic learning. …”
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Znaczenie wybranych modeli w budowie organizacji uczących się by Adrianna Jednoralska

“…The article is a review of a literature on the topic of models of learning organizations. It presents and widely discusses the selected models and corresponding diagnostic tools of learning organizations. …”
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A Comprehensive Survey on Split-Fed Learning: Methods, Innovations, and Future Directions by Geetabai S. Hukkeri, R. H. Goudar, G. M. Dhananjaya, Vijayalaxmi N. Rathod, Shilpa Ankalaki

“…In this work we presented Split-Fed Learning (SFL), a new framework that combines the concepts of Federated Learning (FL) and Split Learning (SL), to provide privacy-aware and scalable training of machine learning models in settings with distributed data. …”
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Grammar Tips Integrated with Telegram Bot: Strategies to Facilitate Learning English Grammar by Rajistha I Gusti Ngurah Adi, Claria Dewa Ayu Kadek

“…However, the visual mode is presented in the form of graphs and charts that show the progress of students learning grammar materials. …”
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Applications of machine learning for modeling and advanced control of crystallization processes: Developments and perspectives by Fernando Arrais R.D. Lima, Marcellus G.F. de Moraes, Amaro G. Barreto, Jr, Argimiro R. Secchi, Martha A. Grover, Maurício B. de Souza, Jr

“…For the advanced control of crystallization processes, this review presents the development of advanced control strategies based on ML approaches, such as applying neural networks in a nonlinear model predictive controller and based on reinforcement learning. …”
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Deep Learning and Recurrence Information Analysis for the Automatic Detection of Obstructive Sleep Apnea by Daniele Padovano, Arturo Martinez-Rodrigo, José M. Pastor, José J. Rieta, Raul Alcaraz

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Few shot learning for phenotype-driven diagnosis of patients with rare genetic diseases by Emily Alsentzer, Michelle M. Li, Shilpa N. Kobren, Ayush Noori, Undiagnosed Diseases Network, Isaac S. Kohane, Marinka Zitnik

“…However, existing approaches require labeled datasets with thousands of diagnosed patients per disease. We present SHEPHERD, a few-shot learning approach for multi-faceted rare disease diagnosis. …”
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Z-plasty in axillary retraction: techniques and strategies to facilitate learning by medical residents by Mariana Alcantara Rodrigues de Moraes, Roberto Rudge Ramos, Lydia Masako Ferreira

“…We present a marking strategy to facilitate the learning of this procedure by plastic surgery residents. …”
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Reconstructing time-of-flight detector values of angular streaking using machine learning by David Meier, Jens Viefhaus, Gregor Hartmann, Wolfram Helml, Thorsten Otto, Bernhard Sick

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LEARNING GERMAN AS A THIRD LANGUAGE THROUGHS ESL. STRATEGIES TO DEVELOP VOCABULARY by Carmen-Daniela CARAIMAN, Camelia NEAGU

“…Those interested in learning German as a third language through ESL may benefit from a set of facilities that could fasten the process of learning vocabulary and enhance the disambiguation process in case of synonymy, false friends and pseudo-Anglicism. …”
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Place-based learning and community stewardship: A framework for facilitating community engagement by Áine Bird, Frances Fahy, Kathy Reilly

“…The methodology and findings presented were guided by the central research question: How can place-based learning enhance community stewardship? …”
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Efficiency Monitoring of a Cooling Water Pump based on Machine Learning Techniques by Marta Casero, Miguel A. Sanz-Bobi, F. Javier Bellido-López, Antonio Muñoz, Daniel Gonzalez-Calvo, Tomas Alvarez-Tejedor

“…This paper presents a method for efficiency monitoring of two circulating water pumps working in a combined cycle power plant for cooling the steam coming from a water-steam turbine. …”
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Iterative Learning Fault Estimation Design for Nonlinear System with Random Trial Length by Li Feng, Ke Zhang, Yi Chai, Shuiqing Xu, Zhimin Yang

“…This is achieved by presenting a state observer for monitoring the system state and an iterative learning law for fault estimation in the presence of imprecise system model. …”
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Preemptive and Reactive Focus-on-Form Instruction: Effect on learning parallel grammatical structures by Fouad BOULKROUN

“…A Grammaticality Judgment Test (GJT) was used to measure accuracy of the target form over the short- and the long-term; therefore, three similar but not identical tests were administered at three temporal times: a pre-test, an immediate post-test, and a delayed post-test. The results of the present study showed that FonF instruction had a differential effect in language learning in both the short- and the long-term. …”
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Pursuit-Interception Strategy in Differential Games Based on Q-Learning-Cover Algorithm by Yu Bai, Di Zhou, Zhen He

“…To address this, this paper proposes a strategy where three pursuers intercept one evader and introduces a Q-learning-cover algorithm. Based on the motion models of the pursuers and the evader in three-dimensional space, this paper presents a region coverage scheme based on the Ahlswede ball and analyzes the convergence upper bound of the Q-learning-cover algorithm by designing an appropriate Lyapunov function. …”
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Expaining model of affecting factors on e-learning effectiveness in post graduate courses by Mahdi Kheyrandish

“…This subject has more importance on e-learning. Accordingly, the present study explains the affecting factors on e-learning programs’ effectiveness. …”
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A Project-based Learning curricular approach in a Production Engineering Program by Simone Borges Simão Monteiro, Ana Carla Bittencourt Reis, João Mello da Silva, João Carlos Felix Souza

“…At the end of each project, the results are presented to an external agent, and are subsequently implemented. …”
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APPLICATION OF A MACHINE LEARNING MODEL FOR FORECASTING FREIGHT RATE IN ROAD TRANSPORT by Artur, Maria

“…The research purpose of this study is to present a universal machine learning based method enabling forecast freight prices for decision-making in the field of road transport. …”
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Machine Learning and data mining tools applied for databases of low number of records by Hubert Anysz

“…This paper is not a review of popular methods of machine learning and data mining; nevertheless, the collected and presented material will help the reader to shorten the path to obtaining satisfactory results when using the described computational methods…”
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Gastric Ascariasis Mimicking Rapunzel Syndrome in an Epileptic Patient: Learning Points Galore by Paras Passi, Sumita Kanwar, Swati Chaurasiya, Sumit Vats, Ravinder Kumar, Shalini Singh

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