IMPLEMENTATION OF INNOVATIVE TEACHING METHODS ON ENHANCING QUALITY TEACHING AND LEARNING IN SECONDARY SCHOOLS IN MOROGORO TANZANIA by George John

“…The research results show that most teachers have theoretical awareness of innovative teaching methods, such as blended learning and mobile learning, but their implementation is still low due to infrastructure and training limitations. …”
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Assessing career success: the role of protean career attitude, organizational learning practices, and employability perception by Poh Kiong Tee, Devinder Kaur, Bee Lian Song, Behrooz Gharleghi

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PCNet: a human pose compensation network based on incremental learning for sports actions estimation by Jia-Hong Jiang, Nan Xia

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Motivation in foreign language learning: a look at type of school environment as a contextual variable by Pavičić Takać Višnja, Berka Nives

“…Impelled by the observation that motivation might be one of the most important factors within the affective domain influencing foreign language learning (FLL), the field of second language acquisition (SLA) has seen an intense worldwide interest in empirical research in motivational issues. …”
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Visuo-spatial compound stimuli discrimination with (Gryllus pennsylvanicus) in two-choices rewarding learning tasks by André Cyr, Isaiah Morrow, Julie Morand-Ferron

Subjects: “…Visual compound stimuli learning…”
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Retracted: Artificial Intelligence Technology Based on Deep Learning in Building Construction Management System Modeling by Advances in Multimedia

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A Deep Learning Based Traffic State Estimation Method for Mixed Traffic Flow Environment by Fan Ding, Yongyi Zhang, Rui Chen, Zhanwen Liu, Huachun Tan

“…This article presents a traffic state estimation method based on a deep learning algorithm under a low and dynamic CVs penetration rate environment. …”
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Effect of Maternal Administration of Edible Bird’s Nest on the Learning and Memory Abilities of Suckling Offspring in Mice by Yong Xie, Hongliang Zeng, Zhiji Huang, Hui Xu, Qunyan Fan, Yi Zhang, Baodong Zheng

“…Furthermore, the spatial learning performances of their offspring were assessed using the Morris water maze test. …”
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Integrating multiomics analysis and machine learning to refine the molecular subtyping and prognostic analysis of stomach adenocarcinoma by Miaodong Wang, Qin He, Zeshan Chen, Yijue Qin

“…We synthesized the multiomics data of patients with STAD using 10 clustering methods, construct a consensus machine learning-driven signature (CMLS)-related prognostic models by combining 10 machine learning methods, and evaluated the prognosis models using the C-index. …”
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Machine Learning-Based Mobile Device Resale Price Estimator: A Predictive Analytics Approach by Umm-e-Laila Mehdi, Khalid Mahboob, Samar Raza Talpur, Khaliq Ahmed, Mohammad Khurram

Subjects: “…Machine Learning…”
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The White Matter Functional Abnormalities in Patients with Transient Ischemic Attack: A Reinforcement Learning Approach by Huibin Ma, Zhou Xie, Lina Huang, Yanyan Gao, Linlin Zhan, Su Hu, Jiaxi Zhang, Qingguo Ding

“…The altered ALFF and fALFF values were defined as features of the reinforcement learning method involving a Q-learning algorithm. Results. …”
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Estimation of PM10 and PM2.5 Using Backscatter Coefficient of Ceilometer and Machine Learning by Bu-Yo Kim, Joo Wan Cha, Yong Hee Lee

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Prediction of Deformation of Hexagonal Honeycomb Blast Structure Under Explosive Loading Using Deep Learning by Mihaela MARIN, Florin-Bogdan MARIN

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Solving a Joint Pricing and Inventory Control Problem for Perishables via Deep Reinforcement Learning by Rui Wang, Xianghua Gan, Qing Li, Xiao Yan

“…We also show that our deep reinforcement learning algorithm achieves a better performance than tabular-based Q-learning algorithms. …”
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Dataset for developing deep learning models to assess crack width and self-healing progress in concrete by Jacek Jakubowski, Kamil Tomczak

“…Abstract The presented dataset comes from an experimental study on the autogenous self-healing of high-strength concrete and the development of deep learning metasensor for crack width assessment and self-healing evaluation. …”
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Mathematical reasoning and self-regulated learning differences by using mathematical literacy-based e-module by Amrina Rosyada, Novita Sari, Novika Sukmaningthias, Zuli Nuraeni

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Sensorimotor Robotic Measures of tDCS- and HD-tDCS-Enhanced Motor Learning in Children by Lauran Cole, Sean P. Dukelow, Adrianna Giuffre, Alberto Nettel-Aguirre, Megan J. Metzler, Adam Kirton

“…Robotics can objectively quantify complex sensorimotor functions to better understand mechanisms of motor learning. We aimed to characterize changes in sensorimotor function induced by tDCS and HD-tDCS paired motor learning in children within an interventional trial. …”
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A Collection of Machine Learning Models for Improved Airport Operations Amidst Adverse Weather Conditions by Ramon Dalmau, Jonathan Attia

Subjects: “…Machine Learning…”
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Intelligent prediction and understanding of self-shrinkage in ultra-high performance concrete based on machine learning by Ji Hao, Wenbin Jiao, Xinpo Xie, Dula Man, Shengwei Huang

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Detection of COVID-19 Using Protein Sequence Data via Machine Learning Classification Approach by Siti Aminah, Gianinna Ardaneswari, Mufarrido Husnah, Ghani Deori, Handi Bagus Prasetyo

“…This study is aimed at developing an efficient classification model for coronavirus protein sequences using machine learning algorithms and feature selection techniques to aid in the early detection and prediction of novel viruses. …”
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