The current state of the problem of tick-borne encephalitis in Russia and the world by N. M. Kolyasnikova, A. A. Ishmukhametov, V. G. Akimkin

“…In conditions of combination of natural foci of TBE and other tick-borne infections, it is important to develop diagnostic algorithms, including differential diagnosis of this disease with other infections transmitted by Ixodic ticks.…”
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Mantle Flow and Anisotropy in Subduction Zones: Modeling and Clustering of Olivine Textures by Yijun Wang, Ágnes Király, Clinton P. Conrad, Valerie Maupin

“…Textures and anisotropy are stronger for the retreating trench model than for the stationary trench model since more deformation has been accumulated due to trench motion. …”
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Using machine learning for the assessment of ecological status of unmonitored waters in Poland by Andrzej Martyszunis, Małgorzata Loga, Karol Przeździecki

“…Study shows highest efficiency of XGBoost and Random Forest algorithms for classification of unmonitored water bodies. …”
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FeCo: Hysteresis, Pseudo-Critical, and Compensation Temperatures on Quasi-Spherical Nanoparticle by Julio Cesar Madera, Elisabeth Restrepo-Parra, Nicolás De La Espriella

“…Knowledge of this type of phenomena is crucial for the design of new materials, since compensation temperatures and exchange bias improve the efficiency of advanced magnetic devices, such as sensors and magnetic memories. …”
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Progress in plant genome sequencing: research directions by M. K. Bragina, D. A. Afonnikov, E. A. Salina

“…Since the first plant genome of Arabidopsis thaliana has been sequenced and published, genome sequencing technologies have undergone significant changes. …”
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Elephant Flows Detection Using Deep Neural Network, Convolutional Neural Network, Long Short-Term Memory, and Autoencoder by Getahun Wassie Geremew, Jianguo Ding

“…Deep autoencoder is also one of the promising algorithms that do not require human class labeler. …”
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Artificial intelligence in environmental monitoring: in-depth analysis by Emran Alotaibi, Nadia Nassif

“…The research highlights a notable increase in publications and citations since 2010, with China, the United States, and India emerging as leading contributors. …”
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Signal Mining and Analysis of Drug-Induced Myelosuppression: A Real-World Study From FAERS by Kaiyue Xia MM, Shupeng Chen MD, Yingjian Zeng MD, Nana Tang MD, Meiling Zhang MD

“…Reports from the first quarter of 2004 to the third quarter of 2024 were analyzed using signal detection algorithms such as Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Empirical Bayesian Geometric Mean (EBGM). …”
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New <i>μ</i>-Synchronization Criteria for Nonlinear Drive–Response Complex Networks with Uncertain Inner Couplings and Variable Delays of Unknown Bounds by Anran Zhou, Chongming Yang, Chengbo Yi, Hongguang Fan

“…Moreover, numerical experiments and image encryption algorithms are carried out to verify our theoretical results’ effectiveness.…”
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Improving the Reliability of DC-DC Power Supply by Reserving Feedback Signals by V. A. Shpenst, E. A. Orel

“…The topicality of the work is related to the importance of power supply issues in modern electronics, since the quality of operation of consumer electrical appliances, including critical ones, directly depends on the serviceability of sources. …”
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Analysis of the effectiveness of selection of women for coronarography in real clinical practice by N. V. Izmozherova, A. A. Popov, V. E. Sherstobitov

“…The obtained data reflect the relevance of the development of more effective algorithms for diagnosis of coronary artery disease in women, since the gender peculiarities of the formation of coronary atherosclerosis have been clearly confirmed in a number of large studies.Conclusion. …”
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Energy Distribution Optimization in Heterogeneous Networks with Min–Max and Local Constraints as Support of Ambient Intelligence by Alessandro Aloisio, Domenico D. Bloisi, Marco Romano, Cosimo Vinci

“…Additionally, we examine the computational complexity of this model and propose two solution algorithms grounded in fixed-parameter tractability theory for specific network classes.…”
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Structure of associative heterarchical memory by R. V. Dushkin, V. A. Lelekova, V. Y. Stepankov, S. Fadeeva

“…Objectives. Since the 20th century, artificial intelligence methods can be divided into two paradigms: top-down and bottom-up. …”
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Casualty Analysis of the Drivers in Traffic Accidents in Turkey: A CHAID Decision Tree Model by Zeliha Cagla Kuyumcu, Hakan Aslan, Nilufer Yurtay

“…The number of traffic accidents in a region rises as the vehicle–km value in traffic increases. Furthermore, since automobiles make up the highest proportion of vehicles in traffic, they represent the greatest weight in traffic accidents. …”
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Concepts of Work: from Traditional Social-Labor Ideas to Modern Effects of Digital Transformation by Zs. Riczu, G. Melypataki, D. A. Mate

“…It introduces new areas and sub-disciplines including administrative criminology based upon actuarial justice and risk management/assessment theory, cyber criminology and cyber victimology, as two sub-disciplines of the new century, and algorithmic or computational criminology, as one of the latest area in criminal sciences, which all are influenced by digitalization and technology.Results: authors concluded that due to the digitalization atypical work emerges but legislator defines the scope of work regulated by law and that makes atypical work relationship becomes a typical work relationship. …”
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Drivers’ Information and Practical Training Assessment Results Management System: A Recommendation for NIT by Deogratias Tasilo Mahuwi, Christopher Denis Ntyangiri, Isaya Mathew Mwansasu, Lydia Thomas Kamugisha

“…The National Institute of Transport (NIT) was selected for the study to present the current situation since it is the institute offering training to the professional drivers and drivers’ instructors in Tanzania. …”
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Diversity of rotavirus strains causing diarrhea in &lt;5 years old Chinese children: a systematic review. by Yue Li, Song-Mei Wang, Shan-Shan Zhen, Ying Chen, Wei Deng, Paul E Kilgore, Xuan-Yi Wang

“…Before 2000, serotype G1 was the predominant strain and accounted for 74·3% of all rotavirus infections; however, since 2000, G3 (45·2%) has been the predominant strain. …”
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Deep learning for COVID-19 by X-ray images Analysis and Designing Diagnostic Application by Thamer Khaleel, Ali Kalakech

“… Nearly every element of life is being significantly impacted by the COVID-19 pandemic. Since COVID-19 was just recently identified, there isn't much known about the illness, how to identify it, or how to treat it. …”
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Predicting the coefficient of friction in a sliding contact by applying machine learning to acoustic emission data by Robert Gutierrez, Tianshi Fang, Robert Mainwaring, Tom Reddyhoff

“…Abstract It is increasingly important to monitor sliding interfaces within machines, since this is where both energy is lost, and failures occur. …”
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Oversampling based on generative adversarial networks to overcome imbalance data in predicting fraud insurance claim by Ranu Agastya Nugraha, Hilman Ferdinandus Pardede, Agus Subekti

“…The new balanced data are used to train 17 classification algorithms. Our experiments show that our proposed method achieves better performance on several evaluation metrics: accuracy, precision score, F1-score, and also ROC than other referenced methods to deal imbalance data random over sampling (ROS), random under sampling (RUS), Synthetic Minority Oversampling Technique (SMOTE), Borderline SMOTE (B-SMO), and adaptive synthetic (ADASYN) methods. …”
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