Enhancement and evaluation for deep learning-based classification of volumetric neuroimaging with 3D-to-2D knowledge distillation by Hyemin Yoon, Do-Young Kang, Sangjin Kim

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A simple pedotransfer function to estimate fine fraction organic carbon contents of surface horizons in French soils by Eva Rabot, Pierre Barré, Claire Chenu, Amicie A. Delahaie, Manuel P. Martin, José-Luis Munera-Echeverri, Nicolas P.A. Saby

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Altered functional connectivity of brainstem ARAS nuclei unveils the mechanisms of disorders of consciousness in sTBI: an exploratory study by Peng Zhang, Yinan Zhou, Haoqi Ni, Zhaoneng Huang, Can Tang, Qichuan Zhuge, Lun Dong, Jun Zhang

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A Machine Learning Free Energy Functional for the 1D Reference Interaction Site Model: Towards Prediction of Solvation Free Energy for All Solvent Systems by Jonathan G. M. Conn, Abdullah Ahmad, David S. Palmer

“…This represents a significant step towards a universal machine learning SFE functional for RISM.…”
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Learning a Foreign Language in Older Adults Shapes the Functional Connectivity of Distinct Cerebellar Sub‐Regions With Cortical Areas Rich in CB1 Receptor Expression by Giovanna Bubbico, Federica Tomaiuolo, Carlo Sestieri, Golnoush Akhlaghipour, Alberto Granzotto, Antonio Ferretti, Mauro Gianni Perrucci, Stefano L. Sensi, Stefano Delli Pizzi

“…While previous studies have investigated the impact of FLL on the cortical connectome, its effects on subcortical‐cortical resting‐state functional connectivity (rs‐FC) remain unexplored. The present study focuses on the connectivity of the cerebellum, based on its involvement in learning and aging. …”
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A unified multimodal learning method for urban functional zone identification by fusing inner-street visual–textual information from street-view and satellite images by Jiajun Chen, Runyu Fan, Hongyang Niu, Zijian Xu, Jining Yan, Weijing Song, Ruyi Feng

Subjects: “…Multimodal deep learning…”
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Antioxidant, anti-acetylcholinesterase, and anti-amyloid-β peptide aggregations of hispolon and its analogs in vitro and improved learning and memory functions in scopolamine-induced ICR mice by Chang-Hang Yang, Cai-Wei Li, Yi-Yan Sie, Liang-Chieh Chen, Yu-Hsiang Yuan, Wen-Chi Hou

“…Conclusion The hispolon in the fungus sang-huang might be beneficial to develop functional foods or as lead compounds for treating degenerative disorders.…”
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Research on the influence of Siberian fir polyprenols on learning and memory of mice with an experimental model of Alzheimer's disease by Nikolay I. Suslov, Yulia S. Fedorova, Maxim L. Korobov

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Brain-phenotype predictions of language and executive function can survive across diverse real-world data: Dataset shifts in developmental populations by Brendan D. Adkinson, Matthew Rosenblatt, Javid Dadashkarimi, Link Tejavibulya, Rongtao Jiang, Stephanie Noble, Dustin Scheinost

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Infants learn what they want to learn: responding to infant pointing leads to superior learning. by Katarina Begus, Teodora Gliga, Victoria Southgate

“…In view of recent evidence, demonstrating that infants use pointing to express interest and solicit information from adults, we set out to test whether giving the child the leading role in deciding what information to receive leads to better learning. Sixteen-month-olds were introduced to pairs of novel objects and, once they had pointed to an object, were shown a function for either the object they had chosen, or the object they had ignored. …”
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Prediction of ball mill power in iron ore concentration plants: A comparison between radial basis functions and linear regression by Javad Taghavi, Mahdi Gharabaghi

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Learning Online MEMS Calibration with Time-Varying and Memory-Efficient Gaussian Neural Topologies by Danilo Pietro Pau, Simone Tognocchi, Marco Marcon

Subjects: “…on-device learning…”
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Machine-learned interatomic potentials for accurate analysis of the mechanical properties of boron nitride sheets by Vijay Choyal, Mahesh Patil, Nitin Luhadiya, S I Kundalwal

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Machine Learning-Driven Dynamic Traffic Steering in 6G: A Novel Path Selection Scheme by Hibatul Azizi Hisyam Ng, Toktam Mahmoodi

Subjects: “…machine learning…”
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Modeling functional connectivity changes during an auditory language task using line graph neural networks by Stein Acker, Jinqing Liang, Ninet Sinaii, Kristen Wingert, Atsuko Kurosu, Sunder Rajan, Sara Inati, William H. Theodore, Nadia Biassou, Nadia Biassou

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A comprehensive multi-agent deep reinforcement learning framework with adaptive interaction strategies for contention window optimization in IEEE 802.11 Wireless LANs by Yi-Hao Tu, Yi-Wei Ma

“…This study introduces the Multi-Agent, Multi-Parameter, Interaction-Driven Contention Window Optimization (M2I-CWO) algorithm, a novel Multi-Agent Deep Reinforcement Learning (MADRL) framework designed to optimize multiple CW parameters in IEEE 802.11 Wireless LANs. …”
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Predicting Activity in Brain Areas Associated with Emotion Processing Using Multimodal Behavioral Signals by Lahoucine Kdouri, Youssef Hmamouche, Amal El Fallah Seghrouchni, Thierry Chaminade

Subjects: “…multimodal learning…”
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Application of the criteria-based assessment system to the tasks of developing the functional literacy of students in teaching chemistry by Kulumbetova Onlassyn, Unerbayeva Zulfiya, Zhussupova Leilya, Zhussupbekova Nursulu, Uzakova Assem

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A Deep Learning-Driven Black-Box Benchmark Generation Method via Exploratory Landscape Analysis by Haoming Liang, Fuqing Zhao, Tianpeng Xu, Jianlin Zhang

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Improved decomposition strategy based recurrent ensemble deep random vector functional link network for forecasting short-term electricity price by Ranjeeta Bisoi, P.K. Dash, Someswari Perla

Subjects: “…Recurrent ensemble deep random vector functional link network…”
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