Machine learning-assisted analysis of serum metabolomics and network pharmacology reveals the effective compound from herbal formula against alcoholic liver injury by Jiamu Ma, Peng Wei, Xiao Xu, Ruijuan Dong, Xixi Deng, Feng Zhang, Mengyu Sun, Mingxia Li, Wei Liu, Jianling Yao, Yu Cao, Letian Ying, Yuqing Yang, Yongqi Yang, Xiaopeng Wu, Gaimei She

“…It was postulated that the effective compounds would bind with key targets from the PI3K-AKT signaling pathway, as indicated by the prediction model of compound-target interaction (R2 > 0.95). …”
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Using Calibration Transfer Strategy to Update Hyperspectral Model for Quantitating Soluble Solid Content of Blueberry Across Different Batches by Biao Chen, Xuhuang Huang, Shenwen Tan, Guangjun Qiu, Huaiyin Lin, Xuejun Yue, Junzhi Chen, Wenshan Zhong, Xuantian Li, Le Zhang

“…This high-performance model could achieve a high determination coefficient (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msubsup><mi mathvariant="normal">R</mi><mi mathvariant="normal">P</mi><mn>2</mn></msubsup></mrow></semantics></math></inline-formula>) of 0.8965 and a low root mean square error of prediction (RMSEP) of 0.3707 °Brix. Using the sample dataset for the year 2025, the hyperspectral model was updated by the semi-supervised parameter-free calibration enhancement (SS-PFCE) algorithm. …”
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Radiomics in the differential diagnosis of glioblastoma under the primary neurooncoimaging conditions by Nikita E. Maslov, Daria A. Valenkova, Alexander M. Sinitсa, Gennadiy E. Trufanov, Vladimir M. Moiseenko, Alexander Yu. Efimtsev, Vera V. Chernobrivtseva

“…The aim of our study is to develop a radiomics model for IDH mutation status prediction, which can be applied to primary diagnostic imaging in patients with suspected adult-type diffuse gliomas. …”
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The Prognostic Significance of TMSB4X in Glioma Patients by Li S, Fan T, Hao Z, Zhang Z, Han X, Li J, Wang Y, Zhou H, Xue X

“…The top 50 core genes were then screened using the cyto Hubba algorithm, these genes were analyzed using The Gene Ontology Database (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG). …”
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In vitro machine learning-based CAR T immunological synapse quality measurements correlate with patient clinical outcomes. by Alireza Naghizadeh, Wei-Chung Tsao, Jong Hyun Cho, Hongye Xu, Mohab Mohamed, Dali Li, Wei Xiong, Dimitri Metaxas, Carlos A Ramos, Dongfang Liu

“…The ML-based automated algorithm quantified CAR-T IS data correlates with the clinical responder and non-responder treated with Kappa-CAR-T cells directly from patients. …”
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Integrative analysis of epigenetic subtypes in acute myeloid Leukemia: A multi-center study combining machine learning for prognostic and therapeutic insights. by Jincan Li, Shengyue Wang

“…Drug sensitivity was predicted using the pRRophetic algorithm with GDSC database reference.…”
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Optimizing net-zero energy strategies in airports through a hybrid multi-method framework by Filiz Mizrak, Kagan Cenk Mizrak, Turhan Karakaya

“…The proposed model integrates the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) for generating Pareto-optimal solutions, K-Means clustering for classifying strategies, and the Pythagorean Fuzzy Analytic Hierarchy Process (PFAHP) for prioritizing alternatives under uncertainty. …”
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Development of <i>OptiCon</i>: A Mathematical Model with a Graphical User Interface for Designing Sustainable Portland Cement Concrete Mixes with Budget Constraint by Angie Pineda, Rita Peñabaena-Niebles, Gilberto Martínez-Arguelles, Rodrigo Polo-Mendoza

“…The findings demonstrated that utilizing <i>OptiCon</i> can achieve substantial reductions in both CO₂ emissions and production costs, underscoring the model’s efficiency and practical impact.…”
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Multi-objective trajectory planning for connected and autonomous vehicles in mixed traffic flow by Hui Li, Yunfei Ge, Yahui Guo, Yu Guan, Xu Zhang

“…The results demonstrate that as CAV penetration increases, vehicle trajectories become increasingly smooth, leading to reductions in average travel time, fuel consumption, and queue length. …”
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Basic principles of construction of high-quality analytical adaptable control systems for thermal energy processes by G. Т. Kulakou, A. Т. Kulakou

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Calculation of spatial target coordinates in range-difference passive radars by the Levenberg – Marquardt method by A. A. Dmitrenko, S. Y. Sedyshev, Y. У. Kuleshov, A. A. Bogatyrev

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Iterative Shaping of Error Patterns For Normal Syndrome Decoding of Iterative Codes by X. H. Ren, V. K. Kanapelka, V. Yu. Tsviatkou

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Estimation of S-parameters and dielectric permittivity of quartz ceramics samples in millimeter waveband by N. A. Pevneva, D. A. Kondrashov, A. L. Gurskii, A. V. Gusinsky

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Analysis of programs for calculation of the system characteristics of ultra-wide range receiving paths by D. V. Arkhipenkov

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Quantitative estimation of fuzzy crisis management by О. V. German, М. V. Kuznetsov

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INTELLECTUAL POTENTIAL OF A REGION: APPRAISAL AND CONTROL TOOL IN INNOVATIVE ACTIVITY by O. Loseva

“…It is suggested that the entropy of particular indicators should be taken into account when calculating summary rating in order to increase ranking reliability.The tool of control over the region’s intellectual potential quality in innovation is shown, the former comprising the following tools of diagnostics and monitoring: 1) system of indicators of intellectual potential characterizing its state in the areas that are crucial for effective innovation, i. e. innovation and entrepreneurship, research and cultural-educational ones; 2) procedure of the intellectual potential quality estimation, based on determination of integral rankings, carried out according to the level of development and stability of the indicator values of a particular region within the system of other regions, and taking into account indicators entropy; 3) factor analysis algorithm of the intellectual potential dynamics on the basis of the index method.The paper sets the guidelines for of use of the obtained results in the interests of the region’s innovation development and anticipated effects from their practical implementation: financial, budgetary, administrative, general economic effects.The conclusion is made that methodology for appraisal of intellectual potential and the tool of control over its quality can be effectively applied in order to stir up innovation in the region.…”
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Legal aspects of applying indexes and e-management in evaluating the publication activity of scientists by R. O. Omorov

“…The Hirsch index is calculated from the number of citations of the researcher’s works included in a certain database.For CIS countries, an important database of scientific and educational publications is the database of the Russian Scientific Citation Index (RSCI). …”
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Text mining of hypertension researches in the west Asia region: a 12-year trend analysis by Mohammad Rezapour, Mohsen Yazdinejad, Faezeh Rajabi Kouchi, Masoomeh Habibi Baghi, Zahra Khorrami, Morteza Khavanin Zadeh, Elmira Pourbaghi, Hassan Rezapour

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OntoCommerce: Incorporating Ontology and Sequential Pattern Mining for Personalized E-Commerce Recommendations by Ghulam Mustafa, Naveed Ahmad Jhamat, Zeeshan Arshad, Nadia Yousaf, Md. Nazmul Abdal, Mohammed Maray, Dokhyl Alqahtani, Mohamad Amir Merhabi, Muhammad Abdul Aziz, Touseef Ahmad

“…This ontology is then utilized to calculate customer preference similarities and generate predictions for the intended customer. The SPM algorithm is applied to the results of collaborative filtering to generate personalized recommendations for the customer. …”
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A robust method to simultaneously place sensors and calibrate parameters for urban drainage pipe system models using Bayesian decision theory by Yuan Huang, Junyi Xiong, Jiangjiang Zhang, Feifei Zheng, Yiran Ji, Hoshin Gupta

“…The UDM is sequentially calibrated using an ensemble smoother algorithm with observation data collected from these strategically placed sensors. …”
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