Human microbiome, applied to clinical practice by V. T. Ivashkin, K. V. Ivashkin

“…The theory and practice of microbiome causes high potential for justification of the pattern of healthy nutritional pattern, behavior and development of new therapeutic agents.…”
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Heat syndrome types prediction of traditional Chinese medicine in acute ischemic stroke through deep learning: a pilot study by Xiongwu Yu, Xiongwu Yu, Lingqian He, Qi Wang, Zhongyun Zhang, Zhongyun Zhang, Huaiqiu Zhu, Huaiqiu Zhu, Juexian Song

“…The model with the comprehensive feature dataset achieved an accuracy of 0.95, F1 score of 0.95, and AUC of 0.91 on the test set, exhibiting better performance overall compared to predictions based solely on TCM pattern characteristics or laboratory indicators. …”
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Spatial Heterogeneity and Temporal Stability of Baseflow Stream Chemistry in an Urban Watershed by Claire Welty, Joel Moore, Daniel J. Bain, Mahdad Talebpour, John T. Kemper, Peter M. Groffman, Jonathan M. Duncan

“…Longitudinal spatial patterns differed across constituents for each survey, but the pattern for each constituent varied little across synoptics. …”
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PROGNOSTIC SIGNIFICANCE OF nm23 PROTEIN IN THE TUMORS OF PATIENTS WITH COLORECTAL CANCER by D. A. Golovkov, I. P. Moshurov, V. V. Delektorskaya, D. V. Sukhoverkov, M. B. Bykovtsev, R. I. Moshurov, L. O. Petrov

“…Study of expression of protein nm23 inprimary and secondary foci of colorectal cancer (CRC) taking in consideration the clinical and morphological features of the disease and the possibility of predicting the risk of distant metastases. …”
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Broadband millimeter-wave metasurface antenna array with printed ridge gap waveguide for high front-to-back ratio by Hao Yi, Yajie Mu, Jiaqi Han, Long Li

“…All the achieved features indicate that the proposed MTS antenna is an important candidate for B5G and 6G wireless communication.…”
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Diagnosing urban traffic anomalies by integrating geographic knowledge and tensor theory by Zilong Zhao, Luliang Tang, Chang Ren, Xue Yang, Zihan Kan, Qingquan Li

“…In this study, we integrate geographic methods with high-dimensional tensor theory and develop a comprehensive framework for traffic anomaly diagnosis. …”
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Сhild-parent relationship as a predictor of youth’s financial activity by N. E. Zhdanova, I. V. Vorobeva, M. S. Krivoshchekova, S. I. Velkova

“…According to the obtained models, some features of parent-child relationships really stimulate the financial activity and independence of youth. …”
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Modify a dual ridge horn antenna for drone jamming applications by Alaa Hussein Hilal, Ahmed Hameed Reja, Mohammed J. Mohammed

“…Handheld anti-drone jammer antennas require high-gain directivity beam patterns with narrow half-power beam widths (HPBW) while also covering multiple frequency bands that are used by drones. …”
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Blood test use in Korean Medicine for monitoring herbal medicine safety by Eunbyul Cho, Mi Mi Ko, Changsop Yang, Sungha Kim

“…This study surveys the frequency and features of BT utilization through a national sampling of KMDs. …”
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METAMORPHIC CORE COMPLEXES OF THE TRANSBAIKALIA: REVIEW by Anatoly M. Mazukabzov, Eugene V. Sklyarov, Tatiana V. Donskaya, Dmitry P. Gladkochub, Valentin S. Fedorovsky

“…Metamorphic core complexes (hereafter MCC) revealed in the Transbaikalia have similar features of their patterns. Three levels can be distinguished by structural­material indicators: core, zone of mylonites (dynamically metamorphosed rocks) and overlying formations. …”
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Eye Movement Indicator Difference Based on Binocular Color Fusion and Rivalry by Xinni Zhang, Mengshi Dai, Feiyan Cheng, Lijun Yun, Zaiqing Chen

“…This finding provides empirical support for understanding the neural computational models of binocular vision and lays a methodological foundation for developing visual impairment assessment tools based on eye movement features.…”
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A Spatial Analysis of Atmospheric Ammonia and Ammonium in the U.K. by M.A. Sutton, Y.S. Tang, U. Dragosits, N. Fournier, A.J. Dore, R.I. Smith, K. J. Weston, D. Fowler

“…The combination of model and measurements is applied to estimate spatial patterns of dry deposition to different vegetation types. …”
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Nanoscale investigations of complex microbial interactions with terrestrial and extraterrestrial minerals using STEM based approach: implications for life on Earth and beyond by Tetyana Milojevic, Mihaela Albu, Ilse Letofsky-Papst, Artem Mashchenko

“…By means of STEM based nanoscale resolution ultrastructural studies coupled to energy dispersive spectroscopy (EDS) and electron energy loss spectroscopy (EELS), we have investigated remarkable metal redox events and unique ultrastructural features of the mineral-microbial interfaces with regard to the mechanisms of mineral biotransformation mediated by various chemolithoautotrophs; the subcellular localization of metal incorporation and binding sites; the chemical nature of the metal complexes formed at the microbe-mineral interfaces; and biomineral patterns formed during the biotransformation of terrestrial minerals and astromaterials. …”
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A multiparametric perspective on C6 and F98 cell lines in orthotopic rat models for glioblastoma research by Carlos Caro, Nuria Arias-Ramos, Jesús David Urbano-Gámez, Raquel González-Alday, Pilar López-Larrubia, María Luisa García-Martín

“…These techniques offer comprehensive morphological, functional, and metabolomic insights, enabling the evaluation of critical tumor features, such as vascular permeability, infiltrative capacity, or metabolism, among others. …”
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Decoding stimulus-specific regulation of promoter activity of p53 target genes by Flavia Vigliotti, Nicolai Engelmann, Mark Sinzger-D’Angelo, Heinz Koeppl, Heinz Koeppl, Alexander Loewer, Alexander Loewer

“…To analyse this comprehensive data set, we developed a new framework for determining parameters of stochastic gene expression by Bayesian inference. …”
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Arginine methylation modulates tumor fate and prognosis in clear cell renal cell carcinoma by Jiahao Wang, Dan Bao, Xiaochao Chen, Zijie Yu, Weiyu Kong, Chen Xu, Songtao Li, Yulin Yue

“…Univariate and multivariate Cox regression analyses were applied to develop an arginine methylation-related signature (AMS). …”
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A semi-mechanistic mathematical framework for simulating multi-hormone dynamics in reproductive endocrinology by Alexandre Vallée, Anis Feki, Gaby Moawad, Jean-Marc Ayoubi

“…PCA showed clear separation between phenotypes, consistent with known endocrine patterns. Logistic regression achieved 100 % accuracy, sensitivity, and specificity, with an AUC of 1.00, confirming robust, phenotype-discriminative features in the synthetic dataset. …”
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Data-Driven Approaches for Efficient Vehicle Driving Analysis: A Survey by Iryna I. Husyeva, Ismael Navas-Delgado, José García-Nieto

“…For each type of efficiency, we provide a list of contextual groups and features, identifying the dataset containing the necessary feature, making it possible not only to determine the parameters defining, for example, driver efficiency, but also locate the corresponding dataset serving as a stepping stone for researchers and practitioners to join the community investigating efficient vehicle driving analysis. …”
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Transient Overvoltage Prediction Method for Renewable Energy Stations via Knowledge-Embedded Enhanced Deep Neural Network by Guangyao Wang, Jun Liu, Jiacheng Liu, Yuting Li, Tianxiao Mo, Sheng Ju

“…By incorporating theoretical calculation values of the TOV into the input features, the task of the deep neural network (DNN) shifts from mining relationships within large datasets to revealing the correlation patterns between theoretical calculations and real values, thereby improving the robustness of the prediction model in cases of insufficient training data and irrational feature construction. …”
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Deep learning driven interpretable and informed decision making model for brain tumour prediction using explainable AI by Khan Muhammad Adnan, Taher M. Ghazal, Muhammad Saleem, Muhammad Sajid Farooq, Chan Yeob Yeun, Munir Ahmad, Sang-Woong Lee

“…Conventional methods rely on MRI and CT scans and employ generic machine learning techniques, which are heavily dependent on feature extraction and require human intervention. …”
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