Modeling turbulent and self-gravitating fluids with Fourier neural operators by Keith Poletti, Stella S. R. Offner, Rachel A. Ward

“…Unlike traditional neural networks, which approximate individual functions, NOs learn the mappings between function spaces. …”
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How a Web-Based Course Facilitates Acquisition of English for Academic Purposes by Jin Chen, Safia Belkada, Toshio Okamoto

“…The achievement variable was used to address the extent of learning due to the two treatment conditions. The attitude variable was used to address the degree of motivation towards a Web-based communication platform as well as the enforced interaction functions. …”
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Adaptive gate residual connection and multi-scale RCNN for fake news detection by QunHui Zhou, Tijian Cai

“…Finally, the focal loss function is used to balance the relationship between few-sample and multi-sample data in the dataset. …”
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The evolving role of programming and LLMs in the development of self-driving laboratories by John R. Kitchin

“…Machine learning and automation are transforming scientific research, yet the implementation of self-driving laboratories (SDLs) remains costly and complex, and it remains difficult to learn how to use these facilities. …”
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Vulnerability detection using BERT based LLM model with transparency obligation practice towards trustworthy AI by Jean Haurogné, Nihala Basheer, Shareeful Islam

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Investigating the hyperparameter space of deep neural network models for reaction coordinates by Kyohei Kawashima, Takumi Sato, Kei-ichi Okazaki, Kang Kim, Nobuyuki Matubayasi, Toshifumi Mori

“…Deep neural network (DNN) and machine learning approaches have become a powerful tool to find the RC. …”
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InvarNet: Molecular property prediction via rotation invariant graph neural networks by Danyan Chen, Gaoxiang Duan, Dengbao Miao, Xiaoying Zheng, Yongxin Zhu

“…This paper introduces InvarNet, a GNN-based model trained with a composite loss function that bypasses intricate data processing while maintaining molecular property invariance. …”
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The Impact of Digital Devices on Children’s Health: A Systematic Literature Review by Valentina Presta, Alessandro Guarnieri, Fabiana Laurenti, Salvatore Mazzei, Maria Luisa Arcari, Prisco Mirandola, Marco Vitale, Michael Yong Hwa Chia, Giancarlo Condello, Giuliana Gobbi

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Morphology reconstruction from experimental small-angle x-ray scattering patterns by physics-aware neural network by Chenhao Zhao, Shenyang Sun, Xueqing Han, Jianhe Zhu, Wancheng Yu, Liangbin Li

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The FAR Model: Evaluating the Quality of English Subtitling in Minion 2 The Rise of GRU Trailer Movie by Aulia Nisa Khusnia, Ruda Widagsa2

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Unveiling the neural mechanisms of supernatural fiction comprehension using fNIRS by Xiaodong Xu, Cheng Jia, Kang Chen, Lijuan Chen

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Lexical Bundles in L1 and L2 Academic Writing by Yu-Hua Chen, Paul Baker

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Approaches to Teaching Self-Advocacy Skills in Specialized Undergraduate Programs For Autistic College Students by Abdul-Hakeem Imoro

“…Through ten semi-structured interviews, seven themes emerged to address two research questions: (a) improve students’ learning skills; (b) support students’ career development; (c) improve students’ executive functioning skills; (d) improve students’ transition skills, (e) use flexible classrooms to support students; (f) support students’ skills development; and (g) develop students’ self-awareness skills. …”
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The influence of task and interpersonal interdependence on cooperative behavior and its neural mechanisms by Zijun Yin, Bin Xuan, Chengchi Liu, Jingchao Yi, Xiaoyan Zheng, Mingming Zhang

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The neurocognitive mechanism underlying math avoidance among math anxious people by Jie Liu, Zhifeng Li, Jiawang Yang, Hao He, Fang Cui

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Can ferroelectric tunnel junction be a game changer as eNVM and in neuromorphic hardware? by Sayani Majumdar

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Triadic Scaffolds: Tools for Teaching English Language Learners with Computers by Carla Meskill

“…Active communication with others is key to human learning. This straightforward premise currently undergirds much theory and research in student learning in general, and in second language and literacy learning in particular. …”
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A visual generalization gradient of conceptual stimuli based on fear acquisition in visual and auditory modalities by Xin Liu, Benjamin Becker, Ya Jie Wang, Ying Mei, Haoran Dou, Yi Lei

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Elastic constants from charge density distribution in FCC high-entropy alloys using CNN and DFT by Hossein Mirzaee, Ramin Soltanmohammadi, Nathan Linton, Jacob Fischer, Serveh Kamrava, Pejman Tahmasebi, Dilpuneet Aidhy

“…While high-entropy alloys (HEAs) present exponentially large compositional space for alloy design, they also create enormous computational challenges to trace the compositional space, especially for the inherently expensive density functional theory calculations (DFT). Recent works have integrated machine learning into DFT to overcome these challenges. …”
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Transcranial direct current stimulation targeting the bilateral IFG alters cognitive processes during creative ideation by Cong Xie, Shuangfei Zhang, Xinuo Qiao, Ning Hao

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