Adaptive gradient scaling: integrating Adam and landscape modification for protein structure prediction by Vitalii Kapitan, Michael Choi

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Cell wall modifications in Saccharomyces cerevisiae wine yeast through adaptive laboratory evolution with Tebuconazole by Kevin Becerra, Verónica Plaza, Luis Castillo, Liliana Godoy

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A Review of Mesh Adaptation Technology Applied to Computational Fluid Dynamics by Guglielmo Vivarelli, Ning Qin, Shahrokh Shahpar

“…Mesh adaptation techniques can significantly impact Computational Fluid Dynamics by improving solution accuracy and reducing computational costs. …”
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Modification of the WaldBoost algorithm to improve the efficiency of solving pattern recognition problems in real-time by A. N. Chesalin, S. Ya. Grodzenskiy, M. Yu. Nilov, A. N. Agafonov

“…The paper studies modifications of compositions (ensembles) of algorithms for solving real-time pattern recognition problems. …”
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Photorheologic Silicone Composites with Adaptive Properties by Utilizing Light‐Degradable Organosilica Nanoparticles as Fillers by Florian Klodwig, Laura Finck, Nina Ehlert, Peter Behrens, Henning Menzel, Sebastian Polarz

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Propagation-adaptive 4K computer-generated holography using physics-constrained spatial and Fourier neural operator by Ninghe Liu, Kexuan Liu, Yixin Yang, Yifan Peng, Liangcai Cao

“…Abstract Computer-generated holography (CGH) offers a promising method to create true-to-life reconstructions of objects. …”
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Analysis of Tetracycline Modification Based on g-C₃N₄ Photocatalytic Degradation by Jinghang Li, Qi Shi, Chaoyu Song, Chenxi Shi, Yuguang Lv

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Possibilities and Prospects of Modification of the Intestinal Microbiome by E. G. Malaeva, I. O. Stoma

“…New, targeted directions of modification of the intestinal microbiome are being studied, which consist in targeted exposure to pathogenic microorganisms, including intracellular and resistant to antibacterial drugs.The dynamic nature of the intestinal microbiome, the ability to change and adapt under the influence of some of the studied factors opens up new promising areas of medical prevention and treatment of somatic and mental diseases. …”
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A comprehensive investigation of the effect of pulse plating parameters on the electrodeposition of Ni/ZrO2 composite coatings by M.M. Dardavila, M. Veronica Sofianos, B.J. Rodriguez, R. Bekarevich, A. Tzanis, P. Gyftou, C. Kollia

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Intelligent Monitoring and Treatment System of Heavy Metal Contaminated Soil Based on Artificial Bee Colony Algorithm and Edge Computing Nanotechnology by Ke Hu, Dongdong Li, Xiaolei Cui, Donghua Hu, Junliang Chen, Shaopeng Zhuan, Hao Chang, Yaping Zhang, Tingting An, Juqin Zhang

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An adaptive radial object recognition algorithm for lightweight drones in different environments by S. Song, J. Liu, M.P. Shleimovich, R.M. Shakirzyanov, S.V. Novikova

“…When combined into a single group, the developed algorithms constitute a customizable set capable of adapting to different imaging conditions and computing power. …”
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Modification of Homotopy Perturbation method for addressing systems of PDEs by Osama Alkhazaleh

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Structural modification of supply chains in the imperatives of circular economy by Ivan Kudrenko, Almas Mukhametov, Emin Shahin Aslanov

“…The goal of the study was to identify structural modifications in supply chains in a circular economy, as well as to assess the effectiveness of adapting them to new management approaches through the introduction of information technologies. …”
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Empirical Modification of Force Fields for the Development of Peptide‐Based Gas Sensors by Thuc Anh Ngo, Tanju Yildirim, Meng‐Qun Feng, Kosuke Minami, Kota Shiba, Genki Yoshikawa

“…Abstract Molecular dynamics models combined with computational approaches can be used as advanced screening techniques for finding highly efficient material‐molecule interactions based on binding affinity, including in the development of gas sensors. …”
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Adam Algorithm with Step Adaptation by Vladimir Krutikov, Elena Tovbis, Lev Kazakovtsev

“…For the experimental analysis of the new algorithm, test functions of a certain degree of conditionality with interference on the gradient and learning problems with mini-batches for calculating the gradient were used. As the computational experiment showed, in stochastic optimization problems, the proposed Adam modification with step adaptation turned out to be significantly more efficient than both the standard Adam algorithm and the other methods with step adaptation that are studied in the work.…”
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Prediction of quality software quality indicators with applied modifications of integrated gradiates methods by Anton Shantyr, Olha Zinchenko, Kamila Storchak, Andrii Bondarchuk, Yuriy Pepa

“…Experimental results are described that confirm the effectiveness of the proposed modifications to improve the quality of the SS. Adaptive integration has achieved the best results (MAE 0.11), adaptability and interpretation. …”
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Shaping Empathy and Trust Toward Agents: The Role of Agent Behavior Modification and Attitude by Takahiro Tsumura, Seiji Yamada

“…These findings underscore the importance of emotional responsiveness and adaptive behavior in shaping social perceptions of agents. …”
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Leveraging AI to explore structural contexts of post-translational modifications in drug binding by Kirill E. Medvedev, R. Dustin Schaeffer, Nick V. Grishin

“…Abstract Post-translational modifications (PTMs) play a crucial role in allowing cells to expand the functionality of their proteins and adaptively regulate their signaling pathways. …”
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Enhancing personalized learning: AI-driven identification of learning styles and content modification strategies by Md. Kabin Hasan Kanchon, Mahir Sadman, Kaniz Fatema Nabila, Ramisa Tarannum, Riasat Khan

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Characterizing and engineering post-translational modifications with high-throughput cell-free expression by Derek A. Wong, Zachary M. Shaver, Maria D. Cabezas, Martin Daniel-Ivad, Katherine F. Warfel, Deepali V. Prasanna, Sarah E. Sobol, Regina Fernandez, Fernando Tobias, Szymon K. Filip, Sophia W. Hulbert, Peter Faull, Robert Nicol, Matthew P. DeLisa, Emily P. Balskus, Ashty S. Karim, Michael C. Jewett

“…First, we demonstrate how our workflow can be used to characterize the binding activity of RiPP recognition elements, an important first step in RiPP biosynthesis, and be integrated into a biodiscovery pipeline for computationally predicted RiPP products. Then, we adapt our workflow to study and engineer oligosaccharyltransferases (OSTs) involved in protein glycan coupling technology, leading to the identification of mutant OSTs and sites within a model vaccine carrier protein that enable high efficiency production of glycosylated proteins. …”
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