Application of K-Nearest Neighbor Classification for Static Webcams Visibility Observation by David Sládek

“…Visibility observations and accurate forecasts are essential in meteorology, requiring a dense network of observation stations. …”
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BRCA1 promoter methylation predicts PARPi response in ovarian cancer: insights from the KOMET study by Léna Nougarede, Florence Hazane-Puch, Florence de Fraipont, Emmanuelle Jacquet, Marie Bidart

“…HRD in ovarian cancer is primarily assessed through BRCA genes mutations and genomic scar scores, which are key biomarkers forecasting PARPi benefit. However, the role of BRCA1 promoter methylation in guiding clinical management is unclear. …”
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Predicting weather-related power outages in large scale distribution grids with deep learning ensembles by L. Prieto-Godino, C. Peláez-Rodríguez, J. Pérez-Aracil, J. Pastor-Soriano, S. Salcedo-Sanz

“…The top-performing models using this methodology achieve detection rates of 38% and 73%, with false alarm rates of 1% and 3%, respectively. …”
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Epidemiological Manifestation of Combined Natural Foci of Tularemia, Leptospirosis and Hemorrhagic Fever with Renal Syndrome: Mixed Infections by T. N. Demidova, N. E. Sharapova, V. V. Gorshenko, T. V. Mikhailova, A. S. Semihin, A. E. Ivanova

“…Diagnostics is aimed at determining the nosology, clinical form, severity of the condition, detection of complications and indications for treatment. …”
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Educating the digital generation: the role of virtual communities by E. M. Kharlanova, N. V. Sivrikova, S. V. Roslyakova, E. G. Chernikova

“…The authors employed the methods of mathematical data processing: Somers’ D-test, Kramer’s V-test, CHAID (Chi Squared Automatic Interaction Detection) analysis.                …”
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Lessons Learned from the COVID-19 Pandemic: Simulation of the Tuberculosis Epidemic as a Function of Population Coverage with Screening by A. A. Starshinova, I. F. Dovgalyuk, N. N. Osipov, D. A. Kudlay

“…The COVID-19 pandemic has led to the discontinuation of many support programs for tuberculosis patients worldwide, and lower coverage of population with screening for tuberculosis.The objective: To build a model describing the spread of tuberculosis depending on the population coverage with preventive screening, and to obtain a long-term forecast of the infection spread using this model.Subjects and Methods. …”
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A high-resolution divergence and vorticity dataset in Beijing derived from radar wind profiler mesonet measurements by X. Guo, J. Guo, D. Meng, Y. Sun, Z. Zhang, Z. Zhang, H. Xu, L. Zeng, J. Chen, N. Li, T. Chen

“…In particular, the negative divergence and positive vorticity are detected in the low-level troposphere up to 1 h in advance of the occurrence of rainfall events, and their magnitudes increasingly become greater when the time comes closer to the rainfall onset, exhibiting the key role that the dataset plays in rainfall nowcasting. …”
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Tiny clue reveals the general trend: a bibliometric and visualized analysis of renal microcirculation by Bing Wang, Mengting Xu, Sunjing Fu, Yingyu Wang, Hao Ling, Yuan Li, Bingwei Li, Xueting Liu, Qin Ouyang, Xiaoyan Zhang, Ailing Li, Xu Zhang, Mingming Liu

“…Additionally, burst detection was applied to keywords and cited references to forecast research hotspots and future trends.Results Our search yielded 7462 publications, with the American Journal of Physiology-Renal Physiology contributing the most articles. …”
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Changes in the level of cardiomarkers in the development of acute myocardial infarction on the background of chemotherapy of a patient with tongue cancer by N. K. Guskova, L. Yu. Vladimirova, E. A. Sycheva, A. A. Morozova, D. A. Rosenko, A. K. Donskaya, O. N. Selyutina, A. M. Skopintsev, N. V. Golomeeva

“…In this regard, timely detection and treatment of complications from the cardiovascular system in patients receiving chemotherapy courses in combination with surgical methods of treatment is important. …”
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Prediction and Correction of Software Defects in Message-Passing Interfaces Using a Static Analysis Tool and Machine Learning by Norah Abdullah Al-Johany, Fathy Elbouraey Eassa, Sanaa Abdullah Sharaf, Amin Y. Noaman, Asaad Ahmed

“…The Software Defect Prediction (SDP) method forecasts the occurrence of defects at the beginning of the software development process. …”
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Automated analysis and textual summarization of time-varying references in advanced greenhouse climate control by Ramesh Arvind Naagarajan, Kiran Kumar Sathyanarayanan, Nadja Bauer, Stefan Streif, Stefan Streif

“…The system segments time-series data using the change point detection method to identify significant changes. The identified trend information is converted into detailed textual descriptions using the natural language generation technique. …”
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Early Fault Diagnosis and Prediction of Marine Large-Capacity Batteries Based on Real Data by Yifan Liu, Huabiao Jin, Xiangguo Yang, Telu Tang, Qijia Song, Yuelin Chen, Lin Liu, Shoude Jiang

“…Furthermore, the fault prediction method based on the iTransformer model is introduced to forecast variations in battery cluster voltages. …”
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Prevalence and Structure of the Malocclusions in Children from Boarding Schools by Smolyar N., Fuhr N.

“…That’s why their early detection is very important in children at the stage of temporary dentition, when dentoalveolar system is under constant growth. …”
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Attribution of the Increased Intensity of Upper‐Level Hadley Circulation Under Climate Change by Bo Sun, Yi Zheng, Wanling Li, Siyu Zhou, Jiarui Cai, Huixin Li, Shengping He, Huijun Wang

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Current situation in relation to parasites and measures of struggle against them in Russia and cis countries (based on materials of coordinating reports) by A. V. USPENSKY, E. I. MALAHOVA, T. A. YERSHOVA

“…Furthermore for the first time metacercariae opisthorchis, mesocercariae alaria and larvae of trematodes using a method of peptolysis are released. Techniques for axonomic identifying of genotype of northern isolates of Trichinella spp. on the territory of RF are devel- oped that allows to complete the system characteristic and to detect phylogenetic relationship inside different taxonomic groups. …”
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An explainable predictive model for anxiety symptoms risk among Chinese older adults with abdominal obesity using a machine learning and SHapley Additive exPlanations approach by Tengfei Niu, Shiwei Cao, Jingyu Cheng, Yu Zhang, Zitong Zhang, Ruiling Xue, Jingxi Ma, Qian Ran, Xiaobing Xian, Xiaobing Xian

“…The objective of this research is to formulate and validate a predictive model that forecasts the probability of developing anxiety symptoms in elderly Chinese individuals with abdominal obesity.MethodThis research’s model development and internal validation encompassed 2,427 participants from the 2017-2018 Study of the Chinese Longitudinal Healthy Longevity Survey (CLHLS). …”
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THE APPLICATION OF FRACTURE MECHANICS TO PREDICT THE FRANCIS HYDRAULIC TURBINES LIFETIME by E. V. Georgievskaia

“…The approach presented in this paper uses the fracture mechanics methods to build a long-term individual forecast of the dangerous development defects in the main elements of hydraulic turbines taking into account design, technological and operational features. …”
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Hyperspectral Imaging for Phenotyping Plant Drought Stress and Nitrogen Interactions Using Multivariate Modeling and Machine Learning Techniques in Wheat by Frank Gyan Okyere, Daniel Kingsley Cudjoe, Nicolas Virlet, March Castle, Andrew Bernard Riche, Latifa Greche, Fady Mohareb, Daniel Simms, Manal Mhada, Malcolm John Hawkesford

“…Accurate detection of drought stress in plants is essential for water use efficiency and agricultural output. …”
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Regulation of land use conflicts at indigenous peoples lands based on blockchain platform, russian arctic case study by A. V. Evseev, T. M. Krasovskaya, V. S. Tikunov, I. N. Tikunova

“…The procedure of conflict detection and forecast for a certain territory is based on separate data sets analysis by independent stakeholders. …”
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Correction of Disturbances Influence on Results of Elongated Objects's Probe Microscopy Using Predictive Relief Estimates by P. V. Gulyaev

“…It has been established that control information in the form of forecast estimates can be used in image processing in probe microscopy to detect and partially eliminate disturbances. …”
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