Discovery, design, and engineering of enzymes based on molecular retrobiosynthesis by Ancheng Chen, Xiangda Peng, Tao Shen, Liangzhen Zheng, Dong Wu, Sheng Wang

“…We first introduce the molecular retrosynthesis route planning in biochemical pathway design, including single‐step retrosynthesis algorithms and AI‐based chemical retrosynthesis route design tools. …”
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Intelligent gear decision method for vehicle automatic transmission system based on data mining by Yong Wang, Jianfeng Zeng, Pengfei Du, Huachao Xu

“…Subsequently, dynamic programming algorithms are employed to optimize intelligent gear decisions. …”
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State-Space Analysis and Complexity Assessment of Puzzle Games Using Colored Petri Nets by Ahmad Taghinezhad-Nia, Saeid Pashazadeh

“…However, model checking represents a paradigm shift by enabling automated, exhaustive verification of behavioral properties through systematic state exploration. …”
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Low-Complexity Adaptive Chromatic Dispersion Estimation Scheme Using Machine Learning for Coherent Long-Reach Passive Optical Networks by Jin Li, Danshi Wang, Min Zhang

“…To add comparisons, the performances of CD estimation schemes using other two well-known machine learning algorithms including the k-nearest neighbor (KNN) and the decision tree (DT) have also been investigated. …”
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Analyzing the Impact of Geoenvironmental Factors on the Spatiotemporal Dynamics of Forest Cover via Random Forest by Hendaf N. Habeeb, Yaseen T. Mustafa

“…By 2023, soil moisture and groundwater levels had emerged as the dominant factors, with soil moisture levels accounting for 25% of the variation in FVC. This shift underscores the increasing importance of water management strategies to maintain forest health. …”
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Modelling and Simulation of a Packed Bed of Pulp Fibers Using Mixed Collocation Method by Ishfaq Ahmad Ganaie, Shelly Arora, V. K. Kukreja

“…A convenient computational approach for solving mathematical model related to diffusion dispersion during flow through packed bed is presented. The algorithm is based on the mixed collocation method. …”
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Advancements in AI-Powered Electric Vehicle Routing: Multi-Constraint Optimization and Infrastructure Integration Approaches for Evolving EVs—A Survey by P. Anandha Prakash, R. Radha

“…Electric vehicles (EVs) have become essential tools in the worldwide shift to sustainable transportation, driven by advances in battery technology, charging infrastructure, and routing algorithms. …”
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Machine learning in predicting firm performance: a systematic review by Yaseen Hezam, Hoa Luong, Lilian Anthonysamy

“…It aims to assess the effectiveness of various ML methods and algorithms used in recent research, focusing on the prediction of firm performance across multiple dimensions. …”
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Optimal strategy selection method for moving target defense based on signaling game by Lyu JIANG, Hengwei ZHANG, Jindong WANG

“…To solve the problem of the optimal strategy selection for moving target defense,the defense strategy was defined formally,the defense principle from the perspective of attack surface shifting and exploration surface enlarging was taken into account.Then,network attack-defense behaviors were analyzed from the sight of dynamic confrontation and bounded information.According to the analysis of attack-defense game types and confrontation process,the moving target defense model based on signaling game was constructed.Meanwhile,the method to quantify strategies was improved and the solution of perfect Bayesian equilibrium was proposed.Furthermore,the optimal defense strategy selection algorithm was designed by the equilibrium analysis.Finally,the simulation demonstrates the effectiveness and feasibility of the proposed optimal strategy and selection method.…”
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Leveraging machine learning to evaluate the effect of raw materials on the compressive strength of ultra-high-performance concrete by Mohamed Abdellatief, G. Murali, Saurav Dixit

“…To enhance the sustainability of UHPC, it is imperative to develop strategies for reducing cement consumption while maintaining its superior performance. The shift toward sustainable construction demands innovative strategies to balance environmental and performance goals. …”
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Method for Two-Stage Radar Measurement of the Blade Repetition Rate of a Propeller-Driven Aircraft by S. R. Heister, V. V. Kirichenko

“…Such images can be obtained using algorithms based on an inverse antenna aperture synthesis. …”
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Upper Elevational Limit of Vegetation in the Himalayas Identified from Landsat Images by Bo Wei, Yili Zhang, Linshan Liu, Binghua Zhang, Dianqing Gong, Changjun Gu, Lanhui Li, Basanta Paudel

“…Climate change has caused substantial shifts in species’ ranges and vegetation distributions in local areas of the Himalayas. …”
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Percolation and connectivity formation in the dynamics of data citation networks in high energy physics by Sergey O. Kramarov, Oleg R. Popov, Ismail E. Dzhariev, Egor A. Petrov

“…This approach enables a detailed study of dynamic and general parameters to be carried out in each reduced network with a given time step. The clustering algorithm combines citation structure and temporal information about data.Results. …”
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Assessing the Impact of Post-COVID Clinics on 6-Month Health Care Utilization for Patients With Long COVID: A Single-Center Experience by Kirby D. Gong, MSE, Ali S. Afshar, PhD, Fred Brown, MBA, Reza Alavi, MD, MBA, Ravindra Ganesh, MBBS, MD, Hadi Kharrazi, MD, PhD

“…Results suggest early post-COVID clinic involvement shifts care to outpatient settings, potentially reducing costs and mortality.…”
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Ethical AI in Social Sciences Research: Are We Gatekeepers or Revolutionaries? by Remus Runcan, Vasile Hațegan, Ovidiu Toderici, Gabriel Croitoru, Mihaela Gavrila-Ardelean, Lavinia Denisia Cuc, Dana Rad, Alina Costin, Tiberiu Dughi

“…This study calls for a shift from passive oversight to proactive ethical stewardship in AI-driven social science research.…”
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METHODOLOGY OF COSEISMIC DISPLACEMENTS COMBINATION OBTAINED BY DATA STEMMING FROM HETEROGENEOUS GEODETIC NETWORKS: ON THE EXAMPLE OF THE GREAT 2011 TOHOKU EARTHQUAKE, Mw 9.1 by N. V. Shestakov, М. D. Gerasimenko, А. К. Kishkina, V. G. Bykov, V. V. Pupatenko, А. S. Prytkov, N. F. Vasilenko, V. S. Zhizherin, S. V. Yakovenko

“…The data of these networks are processed using different algorithms and methods for analyzing satellite observations, methods for calculating the coseismic shift, and different implementations of the coordinate system. …”
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SUBSTANTIATION OF THE CHOICE OF TREATMENT STRATEGY IN ISOLATED TRAUMATIC INJURY OF THE FRONTAL LOBES OF THE BRAIN by M. M. Smirnova, Yu. A. Shcherbuk

“…The developed algorithm allowed improving the results of treatment and the quality of life for patients with traumatic parenchymatous injury of the frontal lobes of the brain.…”
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Harmonic Transfer Function Based Damage Identification of Breathing Cracked Jeffcott Rotor by Jie Zhao, Hans DeSmidt, Meng Peng

“…By processing vibration responses, the transfer function shifts between nominal and damaged systems are taken as the input of damage identification algorithm. …”
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Inter-carrier interference cancellation using spatial characteristics for high-mobility OFDM communication systems by Wei WANG, Qin-ye YIN, Peng-cheng MU

“…High-mobility orthogonal frequency division multiplexing(OFDM)systems suffered severe inter-carrier interference(ICI)from Doppler spreading.On the basis of the characteristics of wireless propagation in practical scenarios,a method which employed the WINNER Ⅱ channel model to represent the practical wireless channel and an antenna array as the receiver to eliminate ICI in space-domain was proposed.The direction of arrival estimation algorithm and the beamforming network were used to separate the received signals in space-domain.Multi-beam diversity gain was obtained finally by means of combining the signals which have been compensated for Doppler frequency shifts(DFS)respectively.Simulation results demonstrate that the proposed method not only effectively reduces ICI and the error floors,but also obtains a 5～7 dB signal-to-interference gain over systems without use of the proposed method.…”
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Theoretical and Numerical Study for Volterra−Fredholm Fractional Integro-Differential Equations Based on Chebyshev Polynomials of the Third Kind by Zineb Laouar, Nouria Arar, Abdellatif Ben Makhlouf

“…In this paper, we develop an efficient numerical method to approximate the solution of fractional integro-differential equations (FI-DEs) of mixed Volterra−Fredholm type using spectral collocation method with shifted Chebyshev polynomials of the third kind (S-Cheb-3). …”
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