A statistical framework for analysis of trial-level temporal dynamics in fiber photometry experiments by Gabriel Loewinger, Erjia Cui, David Lovinger, Francisco Pereira

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Neuropsychological and clinical variables associated with cognitive trajectories in patients with Alzheimer's disease by Marianna Riello, Monica Moroni, Stefano Bovo, Flavio Ragni, Manuela Buganza, Raffaella Di Giacopo, Marco Chierici, Lorenzo Gios, Matteo Pardini, Matteo Pardini, Federico Massa, Federico Massa, Monica Dallabona, Elisa Vanzetta, Cristina Campi, Cristina Campi, Michele Piana, Michele Piana, Sara Garbarino, Manuela Marenco, Venet Osmani, Giuseppe Jurman, Antonio Uccelli, Antonio Uccelli, Bruno Giometto, Bruno Giometto, NeuroArtP3 Network, Filippo Gerli, Guido Pasquini, Claudia Niccolai, Matteo Betti, Emilio Portaccio, Maria Pia Amato, Rossi Andrea, Parodi Costanza, Ramaglia Antonia, Tortora Domenico, Severino Mariasavina, Andrea Falini, Antonella Castellano, Nicolò Pecco, Paola Scifo, Sonia Calloni

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Benchmarking AlphaFold‐enabled molecular docking predictions for antibiotic discovery by Felix Wong, Aarti Krishnan, Erica J Zheng, Hannes Stärk, Abigail L Manson, Ashlee M Earl, Tommi Jaakkola, James J Collins

“…We demonstrate that rescoring of docking poses using machine learning‐based approaches improves model performance, resulting in average auROCs as large as 0.63, and that ensembles of rescoring functions improve prediction accuracy and the ratio of true‐positive rate to false‐positive rate. …”
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On Actionality / Inactionality of the Nominative Semantic Component and Its Actualization in Adjectival Word-Combination by E. T. Kumykova (Guchapsheva), D. M. Kumykova

“…The determinism of functional-semantic diversity by factors associated with the characteristics of the component structures of the matched tokens is proved. …”
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Wide-angle deep ultraviolet antireflective multilayers via discrete-to-continuous optimization by Kim Jae-Hyun, Kim Dong In, Lee Sun Sook, An Ki-Seok, Yim Soonmin, Lee Eungkyu, Kim Sun-Kyung

“…Using the binary-based training datasets, a factorization machine formulated a surrogate function, which discovered the ground binary vector representing a near-optimal figure of merit. …”
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Enhanced Hybrid Artificial Fish Swarm Algorithm for Three-Dimensional Path Planning Applied to Robotic Systems by Ilias Chouridis, Gabriel Mansour, Vasileios Papageorgiou, Michel Theodor Mansour, Apostolos Tsagaris

“…The use of a safety value factor and a total movement point factor in the AFSA’s objective function are introduced. …”
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Adaptive Remaining Capacity Estimator of Lithium-Ion Battery Using Genetic Algorithm-Tuned Random Forest Regressor Under Dynamic Thermal and Operational Environments by Uzair Khan, Mohd Tariq, Arif I. Sarwat

“…The estimator is designed to function effectively under varying thermal conditions. …”
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SIMULATION AND ACCURACY VERIFICATION OF HIGH PRECISION GEAR HOBBING BASED ON CATIA by HE ZhongYuan, WANG ZhongHou, LIU Lei, WU ShiQing

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Digital Wireless Technology to Measure Agricultural Performance by V. F. Fedorenko, V. E. Tarkivskiy

“…(Research purpose) To develop methods and create wireless digital devices for determining the functional indicators of agricultural tractors and machines with the ability to wirelessly transmit data to a remote control point in real time. …”
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A Probabilistic Approach to Surrogate‐Assisted Multi‐Objective Optimization of Complex Groundwater Problems by Reygie Q. Macasieb, Jeremy T. White, Damiano Pasetto, Adam J. Siade

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Distributed MIMO Networks With Rotary ULAs for Indoor Scenarios Under Rician Fading by Eduardo N. Tominaga, Onel L. A. Lopez, Tommy Svensson, Richard D. Souza, Hirley Alves

“…In this work, we propose the utilization of Access Points (APs) equipped with Rotary Uniform Linear Arrays (RULAs) for this purpose. …”
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Study of the working body mechanism in forging-and-stamping equipment by K. O. Kobzev

“…In this case, the accuracy coefficient should be determined by the ratio of the maximum of function to the least boundary value. Doing this requires establishing trends of changing the boundary function values associated with the angle variation. …”
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Using preprocessed datasets to construct and interpret multiclass identification models by Cong Wang, Yufeng Fu, Ran Wan, Le Zhao, Hongbo Wang, Junwei Guo, Qiang Liu, Shan Li, Shengtao Ma, Zhicai Wang, Wei Huang, Huimin Liu, Song Yang, Cong Nie

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Analysis of the Possibility of Using 3D Printing for Emergency Replacement of Damaged Elements in the Marine Industry by Krzysztof Jasiński, Lech Murawski, Marcin Kluczyk, Jarosław Wierzchowski, Marek Chodnicki, Krzysztof Lipiński, Adam Szeleziński

“…The authors’ research interests include the application of incremental and hybrid methods for the production of new, fully functional parts that constitute equipment for ships and yachts. …”
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Technical, social, psychological and ethical aspects of human-robot collaboration: a case study of the 'Robin Heart' medical robot by Małgorzata Suchacka, Mariusz Wojewoda, Zbigniew Nawrat, Artur Domurat, Angelika Magdalena Pabian

“…The first agent is a person working in a medical facility, functioning in various roles: robot creator, programmer, device owner, operator, robot trainer. …”
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Uncovering abnormal gray and white matter connectivity patterns in Alzheimer’s disease spectrum: a dynamic graph theory analysis for early detection by Juanjuan Jiang, Tao Kang, Ronghua Ling, Yingqian Liu, Jiuai Sun, Yiming Li, Xiaoou Li, Hui Yang, Bingcang Huang, the Alzheimer’s Disease Neuroimaging Initiative

“…Traditional static brain network analyses lack sensitivity to detect early functional disruptions in SMC. This study aimed to improve preclinical AD stratification by integrating dynamic gray-white matter functional connectivity (DFC) and machine learning.MethodsUsing multi-cohort ADNI data [N = 1,415 participants across cognitive normal[CN], SMC, and cognitive impairment [CI]groups],dynamic functional networks were constructed via sliding-window analysis (20–50 TR windows, 98% overlap) of 200 gray matter (Schaefer atlas) and 128 data-driven white matter nodes. …”
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A BERT-based rice enhancer identification model combined with sequence-representation differential entropy interpretation by Yajing Pu, Xintong Hao, Zhaoqi Zheng, Huiyan Ma, Zhibin Lv

“…Enhancers, as key elements regulating the spatiotemporal-specific expression of genes, represent a core challenge in functional genomics due to their precise identification requirements. …”
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Control of an autonomous wind energy conversion system based on doubly fed induction generator supplying a non-linear load by M. L’Hadj Said, M. Ali Moussa, T. Bessaad

“…The control system of wind generator based on the maximum power point tracking and the control of bus continuous at output rectifier knowing that the non-linear loads introduce high harmonic currents and disrupt the proper functioning of the system. …”
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Active delta-learning for fast construction of interatomic potentials and stable molecular dynamics simulations by Yaohuang Huang, Yi-Fan Hou, Pavlo O Dral

“…ADL converges after a few iterations and needs tenfold fewer sampled points than without delta-learning while leading to models of similar accuracy, as we show on the test simulations of Diels–Alder reactions. …”
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Multi-task deep learning for simultaneous prediction of steel purity and carbon capture rate using membrane separation technology in integrated steelmaking processes by Somboon Sukpancharoen, Pakon Sakdee, Natacha Phetyim, Rinlada Sirisangsawang, Chayut Sungsook

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