Leveraging machine learning to uncover the hidden links between trusting behavior and biological markers by Zimu Cao, Daiki Setoyama, Monica Natsumi Daudelin, Toshio Matsushima, Yuichiro Yada, Motoki Watabe, Takatoshi Hikida, Takahiro A Kato, Honda Naoki

“…They also offer a novel framework for integrating behavioural modelling with biomarker discovery, potentially informing the development of targeted interventions to enhance social functioning and overall well-being.…”
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Acute aerobic exercise enhances associative learning in regular exercisers but not in non-regular exercisers by Kayleigh D. Gultig, Cornelis P. Boele, Cornelis P. Boele, Lotte E. M. Roggeveen, Ting Fang Soong, Sebastiaan K. E. Koekkoek, Chris I. De Zeeuw, Chris I. De Zeeuw, Henk-Jan Boele, Henk-Jan Boele, Henk-Jan Boele

“…IntroductionPhysical exercise has repeatedly been reported to have advantageous effects on brain functions, including learning and memory formation. …”
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Cascade Machine Learning Approach Applied to Short-Term Medium Horizon Demand Forecasting by Bruno Brentan, Ariele Zanfei, Martin Oberascher, Robert Sitzenfrei, Joaquin Izquierdo, Andrea Menapace

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Air pollution and prostate cancer: Unraveling the connection through network toxicology and machine learning by Yuqi Li, Tao Zhou, Zhiyu Liu, Xinyao Zhu, Qilong Wu, Chunyang Meng, Qingfu Deng

“…Protein-protein interaction (PPI) analysis and visualization were conducted for the intersecting genes, followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analyses to explore potential mechanisms. …”
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GABA, Glx, and GSH in the cerebellum: their role in motor performance and learning across age groups by Shanti Van Malderen, Shanti Van Malderen, Shanti Van Malderen, Melina Hehl, Melina Hehl, Melina Hehl, Melina Hehl, Stefanie Verstraelen, Robbe Breugelmans, Georg Oeltzschner, Stephan P. Swinnen, Stephan P. Swinnen, Koen Cuypers, Koen Cuypers, Koen Cuypers

“…IntroductionThe cerebellum is essential for motor control and learning, relying on structural and functional integrity. …”
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Learner support in a distributed learning environment:the use of WWW-based teachware packages by Christian Langenbach, Freimut Bodendorf

“…A relatively recent development which has not yet gained widespread acceptance is the use of the World Wide Web (WWW) as a basis and platform for distributed computer assisted teaching and learning. In addition to the advantages outlined with regard to classical CBT, the WWW offers the two advantages of world wide availablity as well as ease of promptly updating courses, but also adds many possibilities of collaborative learning. …”
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The role and machine learning analysis of mitochondrial autophagy-related gene expression in lung adenocarcinoma by Binyu Wang, Di Liu, Danfei Shi, Xinmin Li, Yong Li

“…Machine learning algorithms identified COASY, FTSJ1, and MOGS as pivotal genes. …”
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A State-of-the-Art Survey on Advanced Electromagnetic Design: A Machine-Learning Perspective by Masoud Salmani Arani, Reza Shahidi, Lihong Zhang

“…Research on electromagnetic (EM) components is essential to enabling the design and optimization of such devices as antennas and filters, leading to improved functionality, reduced costs, and enhanced overall performance. …”
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A Deep Learning Framework of Super Resolution for License Plate Recognition in Surveillance System by Pei-Fen Tsai, Jia-Yin Shiu, Shyan-Ming Yuan

“…Only low-resolution images with OCR accuracy ≥5 are used to ensure sufficient feature information for effective perceptual learning. We analyze existing loss functions and introduce two novel perceptual losses—one CNN-based and one Transformer-based. …”
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Deep-reinforcement-learning-based hull form optimization method for stealth submarine design by Sang-Jae Yeo, Suk-Yoon Hong, Jee-Hun Song

“…In this study, an optimization method based on Deep Reinforcement Learning (DRL) was developed to design submarine hull forms, aimed at maximizing the stealth performance. …”
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Development of data-driven machine learning models and their potential role in predicting dengue outbreak by Bushra Mazhar, Nazish Mazhar Ali, Farkhanda Manzoor, Muhammad Kamran Khan, Muhammad Nasir, Muhammad Ramzan

“…The current article endeavors to present an overview of predicting dengue outbreaks through data-based machine-learning models. This artificial intelligence model uses real world data such as dengue surveillance, climatic variables, and epidemiological data and combines big data with machine learning algorithms to forecast dengue. …”
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Research on the application of deep learning based video recognition for power plant leakage and dripping by Zhang Yuan, Si Yuan

“…Then, by combining semantic segmentation, data augmentation, attention mechanisms, and changing activation functions with convolutional neural networks, the YOLOv5 algorithm is deeply optimized, including improvements in training strategies and model evaluation adjustments. …”
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Nuclear morphometrics coupled with machine learning identifies dynamic states of senescence across age by Sahil A. Mapkar, Sarah A. Bliss, Edgar E. Perez Carbajal, Sean H. Murray, Zhiru Li, Anna K. Wilson, Vikrant Piprode, You Jin Lee, Thorsten Kirsch, Katerina S. Petroff, Fengyuan Liu, Michael N. Wosczyna

“…However, inconsistencies in identifying cellular senescence have led to varying conclusions about their functional significance. We developed a machine learning-based approach that uses nuclear morphometrics to identify senescent cells at single-cell resolution. …”
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DPmoire: a tool for constructing accurate machine learning force fields in moiré systems by Jiaxuan Liu, Zhong Fang, Hongming Weng, Quansheng Wu

“…Utilizing this package, we have developed machine learning force fields (MLFFs) for MX2 (M = Mo, W; X = S, Se, Te) materials. …”
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Application of Machine Learning in Predicting Quality Parameters in Metal Material Extrusion (MEX/M) by Karim Asami, Maxim Kuehne, Tim Röver, Claus Emmelmann

“…Additive manufacturing processes such as the material extrusion of metals (MEX/M) enable the production of complex and functional parts that are not feasible to create through traditional manufacturing methods. …”
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An earned presence: studying the effect of multi-task improvisation systems on cognitive and learning capacity by Pil Hansen, Robert J. Oxoby

“…Our team set out to test the following hypothesis: Active participation in performance generating systems has a positive effect on advanced student performers’ working memory capacity, executive functions, and learning. Our results have implications, in particular, for understandings of embodied learning in the educational sector, however a perhaps more significant contribution is a better understanding of the measures and constructs needed to arrive at a more complex, yet operational concept of embodied learning and forward the experimental study of relationships between performing arts practices, cognition, and learning.…”
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An open-source tool for analysis and automatic identification of dendritic spines using machine learning. by Michael S Smirnov, Tavita R Garrett, Ryohei Yasuda

“…Synaptic plasticity, the cellular basis for learning and memory, is mediated by a complex biochemical network of signaling proteins. …”
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E-SCRAPBOOK AS AN INNOVATION MEDIA FOR LEARNING THE HISTORY OF ISLAMIC CULTURE AT MI IN THE DIGITAL ERA by Intan Dewi Mawardini, Iflahathul Chasanah

“…Of course, the application of e-scrapbook media is very useful in overcoming problems that arise during the learning process. The output from using this e-scrapbook media, which has two functions at once, namely as a learning medium that can motivate students and also increase understanding of the subject History of Islamic Culture. …”
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Develop Approach to Predicate Software Reliability Growth Model Parameters Based on Machine learning by anfal A. Fadhil, Asmaa’ H. AL_Bayati, Ibrahim Ahmed Saleh

“…The parameters are evaluated using three algorithms: machine learning decision tree (DT), support vector machine (SVM), and K-nearest neighbors (K-NN). …”
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Machine Learning Applications in Road Pavement Management: A Review, Challenges and Future Directions by Tiago Tamagusko, Matheus Gomes Correia, Adelino Ferreira

“…Effective road pavement management is vital for maintaining the functionality and safety of transportation infrastructure. …”
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