AI at the knowledge gates: institutional policies and hybrid configurations in universities and publishers by Cosima Rughiniș, Simona-Nicoleta Vulpe, Dinu Țurcanu, Răzvan Rughiniș

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Posture detection of athletes in sports based on posture solving algorithms by Huan Zhang

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Interconnected cavernous structure of bacterial fruiting bodies. by Cameron W Harvey, Huijing Du, Zhiliang Xu, Dale Kaiser, Igor Aranson, Mark Alber

“…The mechanism consists of self-propelled cells aligning with each other and signaling by end-to-end contact to coordinate the process of differentiation resulting in a pattern of clusters observed in the experiment. …”
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Digitalizing metallic materials from image segmentation to multiscale solutions via physics informed operator learning by Shahed Rezaei, Kianoosh Taghikhani, Alexandre Viardin, Reza Najian Asl, Ali Harandi, Nikhil Vijay Jagtap, David Bailly, Hannah Naber, Alexander Gramlich, Tim Brepols, Mustapha Abouridouane, Ulrich Krupp, Thomas Bergs, Markus Apel

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Deep reinforcement learning based resource provisioning for federated edge learning by Xingyun Chen, Junjie Pang, Tonghui Sun

“…Given the advancements in technology, User Equipment (UE) can now process multiple computing tasks simultaneously, and since UEs can have multiple data sources that are suitable for various FL tasks, multiple tasks FL could be a promising way to respond to different application requests at the same time. …”
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Exhaustive search for novel multicomponent alloys with brute force and machine learning by Viktoriia Zinkovich, Vadim Sotskov, Alexander Shapeev, Evgeny Podryabinkin

“…Abstract We present an algorithm for the high-throughput computational discovery of intermetallic compounds in systems with a large number of components. …”
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The Eps8/IRSp53/VASP network differentially controls actin capping and bundling in filopodia formation. by Federico Vaggi, Andrea Disanza, Francesca Milanesi, Pier Paolo Di Fiore, Elisabetta Menna, Michela Matteoli, Nir S Gov, Giorgio Scita, Andrea Ciliberto

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Human-like face pareidolia emerges in deep neural networks optimized for face and object recognition. by Pranjul Gupta, Katharina Dobs

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Innovative design of wood texture images for indoor furniture based on variable space by Chuan Xue, Ling Jin

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A hierarchical Bayesian model for understanding the spatiotemporal dynamics of the intestinal epithelium. by Oliver J Maclaren, Aimée Parker, Carmen Pin, Simon R Carding, Alastair J M Watson, Alexander G Fletcher, Helen M Byrne, Philip K Maini

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Application of evolutionary deep learning algorithm in construction engineering management system by Zhe Yang

“…Designed the structure, logical structure, and functional modules of the management system. The design process can provide experience for the design of similar management systems. …”
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Detailed Per-residue Energetic Analysis Explains the Driving Force for Microtubule Disassembly. by Ahmed T Ayoub, Mariusz Klobukowski, Jack A Tuszynski

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Unraveling charge effects on interface reactions and dendrite growth in lithium metal anode by Genming Lai, Yunxing Zuo, Chi Fang, Zongji Huang, Taowen Chen, Qinghua Liu, Suihan Cui, Jiaxin Zheng

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A dynamical model reveals gene co-localizations in nucleus. by Jing Kang, Bing Xu, Ye Yao, Wei Lin, Conor Hennessy, Peter Fraser, Jianfeng Feng

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GenomicScape: an easy-to-use web tool for gene expression data analysis. Application to investigate the molecular events in the differentiation of B cells into plasma cells. by Alboukadel Kassambara, Thierry Rème, Michel Jourdan, Thierry Fest, Dirk Hose, Karin Tarte, Bernard Klein

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Embodied decisions as active inference. by Matteo Priorelli, Ivilin Peev Stoianov, Giovanni Pezzulo

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Theory on the coupled stochastic dynamics of transcription and splice-site recognition. by Rajamanickam Murugan, Gabriel Kreiman

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VR interactive input system based on INS and binocular vision fusion by Hongxia Zhao, Bei Wang

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Smart Grid Security: Proactive Prediction of Advanced Persistent Threats by Motahareh Dehghan, Erfan Khosravain

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Data-driven integration of synthetic representative volume elements and machine learning for improved microstructure-property linkage and material performance in ceramics by Mohammad Rezasefat, James Hogan

“…A data-driven approach has been employed, utilizing synthetic Representative Volume Elements (RVEs) derived from X-ray computed tomography scans of ceramics. The methodology involves an automated finite element (FE) simulation process for progressive failure analysis under uniaxial compression and tension. …”
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