Care to learn? The educational experiences of children and young people who are looked after by Alison Ritchie, Elizabeth Morrison, Steven Paterson

“…In January 2002, the Scottish Executive commissioned a consortium of agencies to carry out the Learning with Care project. The aim of the project was to develop new materials to assist local authorities to improve educational outcomes for looked after and accommodated children and young people, and to implement the recommendations of the Learning with Care inspection report (Scottish Executive, 2001). …”

RETRACTED: The relationship of learning style and internet-dependent behavior among students of humanities by Belousova Alla, Bembeeva Nataliya

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Machine Learning-Based Detection of Anomalies, Intrusions, and Threats in Industrial Control Systems by Denis Benka, Dusan Horvath, Lukas Spendla, Gabriel Gaspar, Maximilian Stremy

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IEEE 802.15.4 differentiated service strategy based on reinforcement-learning by Liang QIAN, Zhi-hong QIAN, Tian-ping LI, Wei QUAN

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Experiences of engineering thermodynamics students during online learning: Lessons for post-pandemic by Daniel Raphael Ejike Ewim, Sogo Mayokun Abolarin, Temi Olatunji Scott, Johnson Ayodele Opateye, Maxwell Emmanuel Uduafemhe, Obafemi Oyelakin Olatunji

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Design strategies for artificial intelligence based future learning centers in medical universities by Yang Xiaowen, Ding Jingjing, Wang Biao, Zhang Shenzhong, Wu Yana

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Review of Roger Bergman, Catholic Social Learning: Educating the Faith That Does Justice by Jens Mueller

“…Review of Roger Bergman, _Catholic Social Learning: Educating the Faith That Does Justice_…”
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Integrating manual annotation with deep transfer learning and radiomics for vertebral fracture analysis by Jing Wang, Zhirui Dong, Huanxin He, Zhiyang Gao, Yukai Huang, Guangcheng Yuan, Libo Jiang, Mingdong Zhao

Subjects: “…Deep transfer learning…”
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Learning Spatial-Temporal Features of Ride-Hailing Services with Fusion Convolutional Networks by Dapeng Zhang, Feng Xiao, Gang Kou, Jian Luo, Fan Yang

“…In this paper, we propose a new deep learning framework, called the locally connected spatial-temporal fully convolutional neural network ( LC-ST-FCN), to learn the spatial-temporal correlations and local statistical differences among regions simultaneously. …”
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Machine learning analysis of rivaroxaban solubility in mixed solvents for application in pharmaceutical crystallization by Mohammed Alqarni, Ali Alqarni

Subjects: “…Machine learning…”
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Using machine learning to predict patients with polycystic ovary disease in Chinese women by Chen-Yu Wang, Dee Pei, Chun-Kai Wang, Jyun-Cheng Ke, Siou-Ting Lee, Ta-Wei Chu, Yao-Jen Liang

Subjects: “…Machine learning…”
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Schoolchildren with Learning Difficulties Have Low Iron Status and High Anemia Prevalence by F. P. N. Arcanjo, C. P. C. Arcanjo, P. R. Santos

“…In developing countries there is high prevalence of iron deficiency anemia, which reduces cognitive performance, work performance, and endurance; it also causes learning difficulties and negative impact on development for infant population. …”
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The issue of motivation for foreign languages learning in international research works: Scoping review by I. K. Tsalikova, S. V. Pakhotina

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DDoS attack detection and defense based on hybrid deep learning model in SDN by Chuanhuang LI, Yan WU, Zhengzhe QIAN, Zhengjun SUN, Weiming WANG

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Real-time monitoring of lower limb movement resistance based on deep learning by Burenbatu, Yuanmeng Liu, Tianyi Lyu

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Novel Bounds for Incremental Hessian Estimation With Application to Zeroth-Order Federated Learning by Alessio Maritan, Luca Schenato, Subhrakanti Dey

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Federated edge learning model based on multi-level proxy permissioned blockchain by GE Li’na, LI Haiao, WANG Jie

Subjects: “…federated learning…”
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The challenge of automated tutoring in Web-based learning environments for information retrieval instruction by Sormunen Eero; Pennanen, Sami

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Research on resource allocation algorithm of centralized and distributed Q-learning in machine communication by Yunhe YU, Jun SUN

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Arabic Sign Language Recognition System for Alphabets Using Machine Learning Techniques by Gamal Tharwat, Abdelmoty M. Ahmed, Belgacem Bouallegue

“…Regarding the classification process in this system, we have used supervised learning techniques for the classification of 28-letter Arabic alphabet using 9240 images. …”
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