ADAPTIVE E-TUTORSHIP USING STUDENTS CONTEXT IN TECHNOLOGY ENHANCED LEARNING ENVIRONMENTS by Clara Inés Peña de Carrillo, Choquet Chriatophe

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Effective practices in enhancing autonomous English language learning through YouTube by Ritueli Daeli, Santosa Santosa

Subjects: “…Autonomous Learning…”
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Optimizing dental implant identification using deep learning leveraging artificial data by Shintaro Sukegawa, Kazumasa Yoshii, Takeshi Hara, Futa Tanaka, Yoshihiro Taki, Yuta Inoue, Katsusuke Yamashita, Fumi Nakai, Yasuhiro Nakai, Ryo Miyazaki, Takanori Ishihama, Minoru Miyake

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CONTEXTUAL TEACHING & LEARNING (CTL) UNTUK MENINGKATKAN PENGETAHUAN DALAM SCREENING KESEHATAN by Elfi Quyumi Rahmawati

Subjects: “…skrining Kesehatan; Contextual Teaching & Learning; anak sekolah…”
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Leveraging machine learning to predict residential location choice: A comparative analysis by Vahid Noferesti, Hamid Mirzahossein

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Millealab as A Virtual Reality-based Learning Platform for Slow Learners Students by Lusiana Nurliasari, Erwin Hari Kurniawan, M Syaichul Muchyidin

Subjects: “…learning media…”
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Research on Feature Fusion Method of Mine Microseismic Signal Based on Unsupervised Learning by Rui Liu

“…This method firstly performs empirical modulus singular value decomposition and wavelet packet energy ratio on the microseismic signal to construct the basic feature vector and then uses the unsupervised learning algorithm to perform the unsupervised learning method feature fusion of the basic feature vector to construct the fused feature vector. …”
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Review of models for estimating 3D human pose using deep learning by Sani Salisu, Kamaluddeen Usman Danyaro, Maged Nasser, Israa M. Hayder, Hussain A. Younis

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Teaching-learning of the "family" content in the General Practitioner’s training from education at work by Mabel Rocha Vázquez, Josè Aurelio Dìaz Quiñones, Norma Mur Villar

“…<br /><strong>Objective:</strong> to develop a didactic strategy to improve the teaching-learning of the "family" content.<br /><strong>Methods:</strong> development research with a materialistic dialectical approach, carried out at the Cienfuegos University of Medical Sciences, between July 2021 and March 2022, working from the visit to the family as an education at work modality. …”
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Incremental Data Stream Classification with Adaptive Multi-Task Multi-View Learning by Jun Wang, Maiwang Shi, Xiao Zhang, Yan Li, Yunsheng Yuan, Chenglei Yang, Dongxiao Yu

Subjects: “…multi-task multi-view learning…”
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Universal Design for Learning. A systematic review of its role in Teacher Education. by Sara De la Fuente-González, David Menéndez Álvarez-Hevia, Alejandro Rodríguez-Martín

Subjects: “…Universal Design for Learning…”
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Learning in the district health system: How can meetings become spaces of reflection? by O Motshweneng, S Elloker, L Gilson

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Unlocking potential: how project-based learning influences kindergarten motor skills by Anggarda Paramita Muji, Alwen Bentri, Jamaris Jamaris, Rakimahwati Rakimahwati, Abna Hidayati, Darmansyah Darmansyah, Hendra Hidayat

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Efficient Monte Carlo simulation of streamer discharges with deep-learning denoising models by F M Bayo-Muñoz, A Malagón-Romero, A Luque

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Effects of aminooxyacetic acid on learning and memory function and neurochemical changes in chronic alcoholism by Hongbo Jiang, Xunling Wang, Yingwei Liang, Yinghan Hou, Xinping Yue, Zhiyi Zhang, Dan Chen, Xinyi Fan, Ailin Du

“…Objective: This study aimed to investigate the effect of aminooxyacetic acid (AOAA) on cognitive function, particularly learning and memory, in a rat model of chronic alcoholism. …”
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Efficient Learning of Quantum States Prepared With Few Fermionic Non-Gaussian Gates by Antonio Anna Mele, Yaroslav Herasymenko

“…The experimental realization of increasingly complex quantum states underscores the pressing need for new methods of state learning and verification. In one such framework, quantum state tomography, the aim is to learn the full quantum state from data obtained by measurements. …”
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Characterization of Neural Interaction During Learning and Adaptation from Spike-Train Data by Liqiang Zhu, Ying-Cheng Lai, Frank C. Hoppensteadt, Jiping He

Subjects: “…neural learning…”
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Machine Learning Techniques to Analyze the Influence of Silica on the Physico-Chemical Properties of Aerogels by Hamdi Chaouk, Emil Obeid, Jalal Halwani, Jack Arayro, Rabih Mezher, Omar Mouhtady, Eddie Gazo-Hanna, Semaan Amine, Khaled Younes

“…This study explores the application of machine learning techniques, specifically principal component analysis (PCA), to analyze the influence of silica content on the physical and chemical properties of aerogels. …”
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Implementation of multicultural education values in the learning process in grade V elementary school by Putri Akbarwati, Teguh Supriyanto, Trimurtini Trimurtini

“…This research aims to analyze the role of teachers in applying the value of multicultural education in the learning process and the importance of instilling the value of multicultural education in students. …”
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Machine Learning- and Feature Selection-Enabled Framework for Accurate Crop Yield Prediction by Sandeep Gupta, Angelina Geetha, K. Sakthidasan Sankaran, Abu Sarwar Zamani, Mahyudin Ritonga, Roop Raj, Samrat Ray, Hussien Sobahi Mohammed

“…In this study, a machine learning framework for agricultural yield prediction is presented. …”
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