From molecules to data: the emerging impact of chemoinformatics in chemistry by Anup Basnet Chetry, Keisuke Ohto

“…Recent advancements in artificial intelligence (AI) and machine learning (ML) have significantly improved the ability to analyze complex datasets, predict molecular properties, and design new compounds. …”
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Features of Breast Cancer Progression after Comprehensive Treatment, Prognosis of Metastatic Spread by Yu. Chuprovska, V. Bodiaka, O. Ivashchuk, Ch. Tsagkaris

“…Still, there are no clear criteria and algorithms for predicting the occurrence of this complication. …”
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A localization strategy combined with transfer learning for image annotation. by Zhiqiang Chen, Leelavathi Rajamanickam, Jianfang Cao, Aidi Zhao, Xiaohui Hu

“…The optimal K value is obtained experimentally and used to determine the number of predicted labels, thereby solving the empty label set problem that occurs when the predicted label values of images are below a fixed threshold. …”
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A novel machine learning-based approach to thermal integrity profiling of concrete pile foundations by Javier Sánchez Fernández, Agustín Ruiz López, David M.G. Taborda

“…This is followed by a regression algorithm that predicts the defect size and its location within the cross-section. …”
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Optimizing the learning rate for adaptive estimation of neural encoding models. by Han-Lin Hsieh, Maryam M Shanechi

“…Using extensive closed-loop simulations, we show that the analytical solution of the calibration algorithm accurately predicts the effect of learning rate on parameter error and convergence time. …”
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Optimization and modeling of sulfur removal from liquid fuel using carbon-based adsorbents through synergistic application of RSM and machine learning by Karim Maghfour Sarkarabad, Mohsen Shayanmehr, Ahad Ghaemi

“…The effectiveness of sulfur removal was predicted by analyzing five important factors: temperature, concentration, surface area, fuel/adsorbent, and time. …”
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Spatial Evaluation of <i>Salurnis marginella</i> Occurrence According to Climate Change Using Multiple Species Distribution Models by Jae-Woo Song, Jaho Seo, Wang-Hee Lee

“…This distribution currently covers approximately 9.53% of the global land area; however, the model predicted this distribution would decrease to 6.85%. …”
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Gated recurrent deep learning approaches to revolutionizing English language learning for personalized instruction and effective instruction by Bo Sun

“…The GRNN-ELL model dynamically adapts to the learner’s progress using powerful sequence modelling and language processing algorithms. The training and evaluation architecture and dataset are detailed with an emphasis on optimization techniques. …”
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Parametric Studies of Laminated Cooling Configurations: Overall Cooling Effectiveness by Chen Wang, Chunhua Wang, Jingzhou Zhang

“…Moreover, based on the numerical results, an empirical correlation is developed to predict the overall cooling efficiency in a specific range, and a genetic algorithm is applied to determine the empirical parameters. …”
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Automatic Fault Classification for Journal Bearings Using ANN and DNN by Narendiranath Babu THAMBA, Arun ARAVIND, Abhishek RAKESH, Mohamed JAHZAN, Rama Prabha DURAISWAMY, Ramalinga Viswanathan MANGALARAJA

“…Proper analysis of the various bearing faults and predicting the modes of failure beforehand are essential to increase the working life of the bearing. …”
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Bearing clearance test and lifetime analysis for EMU traction motor by GENG Min, ZHAO Pengyu, LI Xiaoyang, LEI Guanbiao, WANG Xilian

“…The mechanical load is the only factor of influence considered in the traditional bearing lifetime prediction algorithm. However, for the traction motor of the electric multiple units (EMUs) in actual working conditions, its bearing is also subject to the additional electromagnetic load derived from the additional radial electromagnetic force acting on its rotor, which is under effect of bearing clearance. …”
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Voluntary Muscle Contraction Pattern in Cerebral Palsy by Reducing Guidance Force in Robot-Assisted Gait Training: A Proof of Concept Focused on a Single-Participant Study by Suncheol Kwon, Sora Park, Ji Hye Jung, Hyun Kyung Kim

“…A single-participant research design study was conducted with a gradual reduction in robotic assistance during robot-assisted gait training. …”
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Transmission and Generation Expansion Planning Considering Virtual Power Lines/Plants, Distributed Energy Injection and Demand Response Flexibility from TSO-DSO Interface by Flávio Arthur Leal Ferreira, Clodomiro Unsihuay-Vila, Rafael A. Núñez-Rodríguez

“…The column and constraint generation algorithm and duality-free decomposition method are adopted. …”
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A Computationally Efficient Learning-Based Control of a Three-Phase AC/DC Converter for DC Microgrids by Ran Li, Wendong Feng, Tianhao Qie, Yulin Liu, Tyrone Fernando, Herbert HoChing Iu, Xinan Zhang

“…This paper presents a novel learning-based control algorithm for three-phase AC/DC converters, which are key components in DC microgrids, for reliable power conversion. …”
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Clinical Guidelines of the Russian Society for the Study of the Liver, Russian Gastroenterological Association, Russian Society for the Prevention of Non-Communicable Diseases, Rus... by V. T. Ivashkin, O. M. Drapkina, M. V. Maevskaya, K. L. Raikhelson, S. V. Okovityi, M. S. Zharkova, V. R. Grechishnikova, D. I. Abdulganieva, S. A. Alekseenko, M. D. Ardatskaya, I. G. Bakulin, N. V. Bakulina, P. O. Bogomolov, V. V. Breder, E. V. Vinnitskaya, N. I. Geyvandova, E. V. Golovanova, V. B. Grinevich, V. L. Doshchitsin, E. N. Dudinskaya, E. V. Ershova, K. B. Kodzoeva, I. V. Kozlova, K. A. Komshilova, Yu. V. Konev, N. V. Korochanskaya, Yu. V. Kotovskaya, Yu. A. Kravchuk, I. D. Loranskaya, I. V. Maev, A. I. Martynov, S. N. Mekhtiev, E. E. Mishina, M. Yu. Nadinskaia, I. G. Nikitin, M. F. Osipenko, O. D. Ostroumova, Ch. S. Pavlov, N. V. Pogosova, V. G. Radchenko, G. E. Roytberg, R. G. Saifutdinov, A. A. Samsonov, P. V. Seliverstov, S. I. Sitkin, L. V. Tarasova, A. I. Tarzimanova, O. N. Tkacheva, E. I. Tkachenko, E. A. Troshina, S. V. Turkina, Yu. P. Uspenskiy, Yu. A. Fominykh, O. V. Khlynova, Yu. V. Tsyganova, M. Sh. Shamkhalova, O. O. Sharkhun, M. V. Shestakova

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Method of Syntactic Analysis of Chinese Sentences on Topical Components by K. E. Kotcik

“…The article provides an overview of the methods of syntactic analysis of the constructions in the languages of the isolating type. The algorithms of the analysis of sentences of the Chinese language on topical components are proposed. …”
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Uncertainty aware energy management in microgrids with integrated electric bicycle charging stations and green certificate market by Hossein Shayeghi, Iraj Faraji Davoudkhani

“…MTBO is benchmarked against particle swarm optimization, achieving a 21.6% reduction in operational costs and a 13.12% reduction in emissions in deterministic scenarios. …”
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Optimal Computation Offloading Decisions Based on System Utility and Cost Balance by Bingxue Zhang, Xisheng Li, Jia You

“…Experiments conducted in a simulation based on the edge system of an industrial park verified that the cost-utility balanced optimization model achieves at least 7% reduction in the cost-utility ratio across varying user scales compared to traditional cost optimization models, while achieving over 20% reduction in optimization efficiency under different edge server scales. …”
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Synergy and Effectiveness Evaluation of Carbon Policy and Government Subsidies: Variational Inequality Model Based on Supply Chain Network by Chao Wang, Hui Sun, Yuehu Wang

“…Numerical simulations were conducted with a modified projection algorithm, and the Borda method was applied to evaluate equilibrium outcomes, specifically production levels and emission reductions, under each policy combination, revealing synergies between policies. …”
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Research on the policy inconsistency, network motifs and low carbon effects for municipal solid waste management by Bo Lv, Tianxu Cui, Daiheng Li, Weiyue Yao

“…It offers strategies for enhancing carbon reduction through network optimization and phased policy design, aiding low - carbon MSWM policy improvement.…”
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