Revolutionizing pharmacology: AI-powered approaches in molecular modeling and ADMET prediction by Irfan Pathan, Arif Raza, Adarsh Sahu, Mohit Joshi, Yamini Sahu, Yash Patil, Mohammad Adnan Raza, Ajazuddin

“…This review explores the integration of AI techniques, including machine learning (ML), deep learning (DL), and generative models with traditional computational methods such as molecular docking, quantum mechanics, and molecular dynamics simulations. It outlines the evolution of computational chemistry and the transformative role of AI in interpreting complex molecular data, automating feature extraction, and improving decision-making across the drug development pipeline. …”
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Modeling the spread of forest fires through cellular automata by leveraging deep learning to derive transition rules by Zucheng Zhou, Quanli Xu, Junhua Yi, Youyou Li, Shiying Zhang, Wenhui Li

“…This study demonstrated that the Transformer model is ideal for capturing the spatiotemporal evolution of forest fires and constitutes an effective technical approach for fire prevention and management.…”
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MaxEnt Modeling of Future Habitat Shifts of <i>Itea yunnanensis</i> in China Under Climate Change Scenarios by Jinxin Zhang, Xiaoju Li, Suhang Li, Qiong Yang, Yuan Li, Yangzhou Xiang, Bin Yao

“…Model parameter optimization (Regularization Multiplier, Feature Combination) was performed using the R (v4.2.1) package ‘ENMeval’. …”
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The Galactic Pizza: Flat Rotation Curves in the Context of Cosmological Time-Energy Coupling by Artur Novais, André L. B. Ribeiro

“…Models that feature a strong coupling between cosmic time and energy are favored by this analysis.…”
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An Evolutionary Algorithm of the Regional Collaborative Innovation Based on Complex Network by Kun Wang, Duoyong Sun

“…The two main conceptions of evolution, “graph with dynamic features” and “network evolution,” have been provided in advance. …”
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THE INFLUENCE OF RESISTANCE OF TOMATOES ON THE MORPHO-PHYSIOLOGICAL DIVERSITY AND POPULATION CHARACTERISTICS OF ROOT-KNOT NEMATODES MELOIDOGYNE INCOGNITA (KOFOID, WHITE, 1919), CHI... by Zh. V. Udalova, S. V. Zinovieva, O. S. Khasanova

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Paleofluid Fingerprint as an Independent Paleogeographic Correlation Tool: An Example from Pennsylvanian Sandstones and Neighboring Crystalline Rocks (Tisia Composite Terrane, S Hu... by Krisztián Fintor, Andrea Varga

“…The presented paleofluid evolution refines previous models of the paleogeographic position of the Tisia and puts constraints on the evolution of the Variscan Europe.…”
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Doppler shift compensation performance in Hipposideros pratti across experimental paradigms by Jinhong Luo, Manman Lu, Xindong Wang, Huimin Wang, Cynthia F. Moss

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MagNet: Automated Magnetic Mineral Grain Morphometry Using Convolutional Neural Network by Zhaowen Pei, Liao Chang, Pengfei Xue, Richard J. Harrison

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Coordination and persistence of aggressive visual communication in Siamese fighting fish by Claire P. Everett, Amy L. Norovich, Jessica E. Burke, Matthew R. Whiteway, Paula R. Villamayor, Pei-Yin Shih, Yuyang Zhu, Liam Paninski, Andres Bendesky

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Modeling invasion patterns in the glioblastoma battlefield. by Martina Conte, Sergio Casas-Tintò, Juan Soler

“…In the infiltration front, the key features of tumor dynamics relate to biochemical and biomechanical aspects, which result in the extension of cellular protrusions known as tumor microtubes. …”
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An Xper3 reference guide for taxonomists: a collaborative system for identification keys and descriptive data by Adeline Kerner, Elie Mario Saliba, Sylvain Bouquin, Rémy Portier, Régine Vignes-Lebbe

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The hospital sink drain microbiome as a melting pot for AMR transmission to nosocomial pathogens by Gregory E. McCallum, James P. J. Hall

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Analysis of RNA Transcribed by RNA Polymerase III from B2 SINEs in Mouse Cells by Olga R. Borodulina, Sergey A. Kosushkin, Ilia G. Ustyantsev, Nikita S. Vassetzky, Dmitri A. Kramerov

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A Near-infrared Search for Helium in the Superluminous Supernova SN 2024ahr by Harsh Kumar, Edo Berger, Peter K. Blanchard, Sebastian Gomez, Daichi Hiramatsu, Moira Andrews, K. Azalee Bostroem, Yize Dong, Joseph Farah, Estefania Padilla Gonzalez, D. Andrew Howell, Curtis McCully, Darshana Mehta, Megan Newsome, Aravind P. Ravi, Giacomo Terreran

“…We do not detect any significant feature at the location of the He i λ 2.058 μ m feature and place a conservative upper limit of ∼0.05 M _⊙ on the mass of helium in the outer ejecta. …”
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Hemoglobin state-flux: A finite-state model representation of the hemoglobin signal for evaluation of the resting state and the influence of disease. by Randall L Barbour, Harry L Graber, San-Lian S Barbour

“…The developed methodology integrates concepts from stochastic network theory with known modulatory features of the vascular bed, and in doing so provides access to a previously unrecognized dense feature space that is shown to have promising diagnostic potential. …”
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Hepatolenticular degeneration: analysis of neurological manifestations under treatment in 76 patients by Egberto R. Barbosa, Milberto Scaff, Horácio M. Canelas

“…A series of 76 patients with hepatolenticular degeneration (HLD) followed up at the Hospital of the University of São Paulo Medical School between 1963 and 1988 have been studied focusing the evolution under treatment of neurological features. …”
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Research on deployment of pooled vBRAS in cloud IP metropolitan area network by Xia GONG, Huanan CHEN, Yongqing ZHU, Shizhang YUAN, Bing YANG

“…Cloud-network integration was the main development direction of IP carrier networks.As the closest network to users, IP MAN has rich service features and it is also an important test field for network cloudification.Facing the carrier requirements of multiple access and the changes of traffic direction, IP MAN was transformed from the traditional north-south tree architecture to the Spine-Leaf architecture to meet the service requirements, such as fixed-mobile convergence and multi-cloud access scenarios.Based on the evolution of the cloud IP MAN, the deployment scheme of pooled vBRAS and key technologies were introduced, and technical reference for the large-scale commercial deployment and technology evolution of vBRAS were provided.…”
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Performance Degradation Evaluation of Rolling Bearing based on Improved Fuzzy Entropy and Grey Relation by Li Cheng, Wensuo Ma, Xintao Xia, Liangwen Wang

“…The experimental results show that the improved fuzzy entropy can accurately extract the performance degradation features of rolling bearing，and the rolling bearing degradation features extracted based on the improved fuzzy entropy have a consistent evolution law with the rolling bearing maintaining reliability，with a credibility level above 95%.…”
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Phylodynamic inference and model assessment with approximate bayesian computation: influenza as a case study. by Oliver Ratmann, Gé Donker, Adam Meijer, Christophe Fraser, Katia Koelle

“…Combining features of long-term surveillance data from The Netherlands with features of influenza A (H3N2) hemagglutinin gene sequences sampled in northern Europe, key phylodynamic parameters can be estimated with ABC. …”
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