Abnormal activity in the brainstem affects gait in a neuromusculoskeletal model by Daisuke Ichimura, Makoto Sawada, Kenji Wada, Ritsuko Hanajima

“…Results The normal models walked successfully following internal parameter optimization using standard genetic algorithms. In an abnormal model, 156 freezing of gait events were detected among 40,000 parameter sets using a freezing of gait-identifying algorithm. …”
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Using individual tractor wheel drive through electric traction by А. V. Bizhaev, S. M. Vetrova, A. S. Barchukova, N. S. Krivyh

“…(Materials and methods) A concept for controlling individual wheel drives has been developed, as well as an algorithm specifically for managing electric wheels. …”
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Advanced Necklace for Real-Time PPG Monitoring in Drivers by Anna Lo Grasso, Pamela Zontone, Roberto Rinaldo, Antonio Affanni

“…The goal of these algorithms is to detect meaningful peaks corresponding to each heartbeat by using signal processing techniques to remove noise and motion artifacts. …”
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Factors affecting the corneal endothelium after selective laser trabeculoplasty in primary open angle and angle closure glaucoma by Natalia Ivanovna Kurysheva, Lyudmila Vyacheslavovna Lepeshkina, Svetlana Georgievna Kapkova

“…These data should be considered when choosing an algorithm for glaucoma treatment.…”
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A global comparison of social media bot and human characteristics by Lynnette Hui Xian Ng, Kathleen M. Carley

“…With this definition as a premise, we systematically compare the characteristics between bots and humans across global events, and reflect on how the software-programmed bot is an Artificial Intelligent algorithm, and its potential for evolution as technology advances. …”
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Identification of RNA Modification-Associated Alternative Splicing Signature as an Independent Factor in Head and Neck Squamous Cell Carcinoma by Jie Liu, Wenmin Deng, Zhiwen Xiao, Xiaofeng Huang, Minmin Lin, Zhen Long

“…“ESTIMATE” R package, ssGSEA algorithm, and CIBERSORT method were used to detect immune microenvironment in HNSCC. …”
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Assessing SWOT's Hydraulic Visibility on the Rhine: Precision Flow Lines and Slope‐Based Flood Wave Propagation Signatures by T. Ledauphin, P.‐A. Garambois, K. Larnier, M. Azzoni, C. Emery, N. Picot, S. Amzil, R. Fjørtoft, J. Maxant, H. Yésou

“…Limitations in Reach and Node products from SWORD (Surface Water and Ocean Topography River Database), versions 14–16 were addressed by developing an improved SWORD model aligned with the Rhine's morphology, now integrated into SWORD v17. Using the RiverObs algorithm, all river products were reprocessed over the entire Cal/Val period (103 cycles), achieving a 1‐sigma absolute error of 12 cm at the node scale and 10 cm at the reach scale. …”
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Assessment of the Prevalence and Epidemic Spread of Strains of Ancient, and Modern Sublineages of the Mycobacterium tuberculosis Beijing Genotype in Omsk Region by O. A. Pasechnik, A. A. Vyazovaya, A. I. Bloch, I. V. Yarusova, M. P. Tatarintseva, I. V. Mokrousov

“…Following the generally accepted algorithm of descriptive and evaluation epidemiological research, the incidence, prevalence, and mortality from tuberculosis in the Omsk region for the period 2009-2019 were studied. …”
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STUDY OF PREDICTION AND CLASSIFICATION MODELS IN THE PROBLEMS OF DIABETES AMONG PATIENTS WITH A STROKE IN DIFFERENT LIVING CONDITIONS by Nural Huliiev, Maksym Peretiaha, Artem Khovrat, Denys Teslenko, Alexei Nazarov

“…The article solves the problem of a multi-criteria task of choosing the best algorithm for predicting the occurrence of a disease. …”
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Global Assessment of Mesoscale Eddies with TOEddies: Comparison Between Multiple Datasets and Colocation with In Situ Measurements by Artemis Ioannou, Lionel Guez, Rémi Laxenaire, Sabrina Speich

“…The present study introduces a comprehensive, open-access atlas of mesoscale eddies in the global ocean, as identified and tracked by the TOEddies algorithm implemented on a global scale. Unlike existing atlases, TOEddies detects eddies directly from absolute dynamic topography (ADT) without spatial filtering, preserving the natural spatial variability and enabling precise, high-resolution tracking of eddy dynamics. …”
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A high-throughput ResNet CNN approach for automated grapevine leaf hair quantification by Nagarjun Malagol, Tanuj Rao, Anna Werner, Reinhard Töpfer, Ludger Hausmann

“…Therefore, a validated high-throughput phenotyping tool was developed and established in order to detect and quantify leaf hair using images of single grapevine leaf discs and convolution neural networks (CNN). …”
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Deep Learning-Based Instance Segmentation of Galloping High-Speed Railway Overhead Contact System Conductors in Video Images by Xiaotong Yao, Huayu Yuan, Shanpeng Zhao, Wei Tian, Dongzhao Han, Xiaoping Li, Feng Wang, Sihua Wang

“…This work expands upon the YOLO11-seg model and introduces an instance segmentation approach for galloping video and image sensor data of OCS conductors. The algorithm, designed for the stripe-like distribution of OCS conductors in the data, employs four-direction Sobel filters to extract edge features in horizontal, vertical, and diagonal orientations. …”
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Quality Management in Software Development by M. D. Birulia

“…Their features are shown in three environments: during development, testing, and production.Discussion and Conclusion. The algorithm allows quality experts to build the sequence of actions to eliminate detected defects in the future, understand the situation when it is possible (or impossible) to deploy code, and determine the moment when the software should be transferred to the user. …”
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Aperiodic activity as a biomarker of seizures and neuromodulation by David Satzer, Lesley C. Kaye, Steven G. Ojemann, Daniel R. Kramer, John A. Thompson

“…Recordings containing clinician-annotated seizures, stimulation triggered by device-detected interictal epileptiform activity (IEA), and stimulation-free interictal periods were analyzed. …”
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Uncertainty analysis of clinically relevant distances derived using photogrammetric intersection for the assessment of motor-speech-control in children by L. Boyle, P. Helmholz, R. Ward, R. Palmer, D. Lichti

“…For setup 2, all weights could detect inter-landmark distances reliably.…”
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Spatial distribution prediction of pore pressure based on Mamba model by Xingye Liu, Xingye Liu, Bing Liu, Wenyue Wu, Qian Wang, Yuwei Liu

“…The model is a structured state-space model designed to process complex time-series data, and improve efficiency through parallel scan algorithm, making it suitable for large-scale three-dimensional data prediction. …”
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The effect of vitamin D and magnesium deficiency on the course of adenomyosis in the post covid-19 period in women of reproductive age by M.B. Zaporozhchenko, A.V. Bulhar, G.F. Stepanov

“…Objective of the study: to investigate the content of vitamin D and the trace element magnesium in the blood of women of reproductive age with adenomyosis of the I–II and III–IV degrees after the COVID-19 disease depending on the algorithm of their management at 3, 6 and 12 months, as well as assess the general condition of patients. …”
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Variability of <I>omp25</I> and <I>omp2a</I> Genes in Brucella Strains of Different Taxonomic Position by N. A. Osina, E. G. Boolgakova, A. G. Osin, I. G. Shvidenko, S. A. Shcherbakova

“…To assess sequence homology, the BLAST algorithm and the MEGA 11 program were used.Results and discussion. …”
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Deep learning-based classification of coronary arteries and left ventricle using multimodal data for autonomous protocol selection or adjustment in angiography by Arpitha Ravi, Philipp Bernhardt, Mathis Hoffmann, Florian Kordon, Siming Bayer, Stephan Achenbach, Andreas Maier

“…Our research introduces a deep learning algorithm that autonomously detects three target anatomies:the left coronary artery (LCA), right coronary artery (RCA), and left ventricle (LV),based on singleX-ray frames without vessel structure and enables adjustment of imaging parameters by choosing the appropriate organ program. …”
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Predicting the subclinical carotid atherosclerosis in overweight and obese patients using a machine learning model by D. V. Gavrilov, T. Yu. Kuznetsova, M. A. Druzhilov, I. N. Korsakov, A. V. Gusev

“…When creating the model, 3 Random Forest algorithms, AdaBoostClassifier, KNeighborsClassifier and the Scikit-learn library were used. …”
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