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). …”

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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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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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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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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The challenge of automated tutoring in Web-based learning environments for information retrieval instruction by Sormunen Eero; Pennanen, Sami

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Earthquake induced liquefaction hazard analysis for Chittagong City using machine learning by Md. Mehedi Hasan, Md. Zillur Rahman, Abul Kashem Faruki Fahim

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Mesenchymal Stem Cells: What We Have Learned and How to Manage Them by Nadia Lampiasi

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From Flipped Classroom to Flipped Learning: Evolution of the Concept and Its Philosophical Foundations by I. I. Gnutova

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Exploring Deep Learning–Based Models for Sociocultural African Food Recognition System by Grace Ataguba, Mona Alhasani, James Daniel, Emeka Ogbuju, Rita Orji

“…We present the design and evaluation of a sociocultural app for African food recognition using deep learning models such as transfer learning. Deep learning models have multiple processing layers that make them robust in image recognition. …”
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Federated Learning Based on Kernel Local Differential Privacy and Low Gradient Sampling by Yi Chen, Dan Chen, Niansheng Tang

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Mood Detection from Physical and Neurophysical Data Using Deep Learning Models by Zeynep Hilal Kilimci, Aykut Güven, Mitat Uysal, Selim Akyokus

“…Another novelty is that the emotion classification task is performed by both conventional machine learning algorithms and deep learning models. For this purpose, Feedforward Neural Network (FFNN), Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), and Long Short-Term Memory (LSTM) neural network are employed as deep learning methodologies. …”
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UTR-Insight: integrating deep learning for efficient 5′ UTR discovery and design by Saichao Pan, Hanyu Wang, Hang Zhang, Zan Tang, Lianqiang Xu, Zhixiang Yan, Yong Hu

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Classification of the optimal rebalancing frequency for pairs trading using machine learning techniques by Mahmut Bağcı, Pınar Kaya Soylu

“…This study proposes a machine learning (ML) approach to predict ORF ranges. To improve ML accuracy, pairs were categorized into three subgroups based on their correlation levels: positively, weakly, and negatively correlated. …”
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Forecasting CDS Term Structure Based on Nelson–Siegel Model and Machine Learning by Won Joong Kim, Gunho Jung, Sun-Yong Choi

“…Among the machine learning approaches, GMDH demonstrates the best performance in forecasting the CDS term structure. …”
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Dual Convolution Neural Networks of Ensemble Learning with Attention Mechanism for Rice Classification by Cheng Linfeng

“…The aim of this project is to develop a dual convolutional neural network for ensemble learning based on the initial model and the res network model, and apply the ensemble model to the rice classification problem. …”
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