EMG-CHARACTERISTICS OF MASTICATORY MUSCLES IN SUBJECTS WITH BRUXISM by L.V. Smaglyuk, A.V. Liakhovska, V.I. Smaglyuk, M.V. Trofymenko

“…The aim of our study was to determine the features of EMG-activity of masticatory muscles in patients with bruxism. …”
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Application of dry electrodes in supercapacitors and lithium-ion batteries by Guolei ZHANG, Keliang ZHANG, Yabin AN, Chen LI, Guanwei LIU, Xianzhong SUN, Changzhou YUAN, Kai WANG, Xiong ZHANG, Yanwei MA

“…The use of dry electrolytes offers a promising solution to this problem, promoting the preparation of dry electrolytes and the development of all-solid-state batteries. …”
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Numerical treatments of nonlinear Burgers–Fisher equation via a combined approximation technique by Mohammad Izadi, Hari Mohan Srivastava

“…Hence in each time step, we solve a linear initial boundary value problem (IBVP) by using the spectral collocation technique based on novel Boole polynomials. …”
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Association of Insomnia, Lipid Profile, and Lipid-Lowering Medications: A Narrative Review by Fang Jia, Shun-Yi Shi, Si-Fan Fei, Min Zhou, Jian-Jun Li

“…Conversely, sleep disorders, usually presented as insomnia, are a common public health problem that can lead to multiple pathophysiological changes in humans, including lipid metabolic abnormality. …”
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ON THE UNIFICATION OF BONE DENSITOMETRY AND INTERPRETATION OF ITS RESULTS by L. A. Nizovtsova, S. P. Morozov, A. V. Petryaykin, V. Yu. Bosin, K. A. Sergunova, A. V. Vladzimirskiy, M. Yu. Shantarevich

“…It is noted that the surveys conducted among radiologists have  indicated that most specialists are poorly aware of the problem of  osteoporosis, its diagnosis, prevention, and treatment.…”
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Typhus epidemic in Kuibyshev during the Great Patriotic War by O. Yu. Igoshina

“…The author studies the problem of the spread of typhus epidemic in the Kuibyshev (Samara) region during the Great Patriotic War. …”
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The Application of Imperialist Competitive Algorithm in Determining the Optimal Parameters of Empirical Area Reduction Method to Predict the Sedimentation Process in Dez Dam by Arash Azari, Sadegh Soori Hossein Bonakdari, Hossein Bonakdari

“…Then, by introducing new reservoir hydrography data in the optimal model, the sedimentation trend was predicted in the feature years (1410 and 1420). The results showed that this method was more consistent with the actual volume of the reservoir at different levels of the dams rather than the methods of Borland and Miller and Lara. …”
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Simulation of electromagnetic wave scattering on hollow structures with elliptical cross section by V. V. Garbuzov, A. P. Preobrazhensky

“…The aim of the study is to solve a problem aimed at assessing the characteristics of electromagnetic wave scattering on hollow structures whose dimensions belong to the resonant region.Method. …”
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Distal Radius Allograft for Glenoid Reconstruction in Anterior Shoulder Instability With Significant Glenoid Bone Loss by Mohamad Y. Fares, M.D., M.Sc., Peter Boufadel, M.D., Ryan Cox, M.D., Adam Z. Khan, M.D., Joseph A. Abboud, M.D.

“…The distal radius allograft has a radius of curvature more closely matching that of the native glenoid, with anatomic features that can allow for enhanced glenohumeral stability, making it a promising option for this challenging problem.…”
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Big Data Processing Architecture for Radio Signals Empowered by Deep Learning: Concept, Experiment, Applications and Challenges by Shilian Zheng, Shichuan Chen, Lifeng Yang, Jiawei Zhu, Zhenxing Luo, Junjie Hu, Xiaoniu Yang

“…Finally, challenges are discussed, such as unified representation of radio signal features, distortionless compression of wideband sampled data, and deep neural networks for radio signals.…”
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Atrial Fibrillation in Hypertrophic Cardiomyopathy by G. A. Ignatenko, G. G. Taradin, N. T. Vatutin, A. A. Kaluga, Yu. D. Kostyamin

“…The current information about features of atrial fibrillation in patients with hypertrophic cardiomyopathy is presented in this review. …”
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Enhanced residual-attention deep neural network for disease classification in maize leaf images by Nidhi Parashar, Prashant Johri, Ahmed Elbeltagi, Ali Salem, Prakash Choudhary, Vijay Kumar, Tarun Agrawal

“…Maize Net uses an attention mechanism to increase the model’s efficiency by focusing on the relevant features and residual learning to improve the gradient flow. …”
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An Inverted Transformer Framework for Aviation Trajectory Prediction with Multi-Flight Mode Fusion by Gaoyong Lu, Yang Ou, Wei Li, Xinyu Zeng, Ziyang Zhang, Dongcheng Huang, Igor Kotenko

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A Comparative Analysis of Three Data Fusion Methods and Construction of the Fusion Method Selection Paradigm by Ziqi Liu, Ziqiao Yin, Zhilong Mi, Binghui Guo, Zhiming Zheng

“…Moreover, we analyze the failure conditions of early fusion in the presence of nonlinear feature-label relationships. Furthermore, we propose an approximate equation for evaluating the accuracy of early and late fusion methods as a function of sample size, feature quantity, and modality number. …”
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Optimal life-cycle adaptation of coastal infrastructure under climate change by Ashmita Bhattacharya, Konstantinos G. Papakonstantinou, Gordon P. Warn, Lauren McPhillips, Melissa M. Bilec, Chris E. Forest, Rahaf Hasan, Digant Chavda

“…In this work, we thus formulate climate risk management as a dynamic decision-making problem based on Markov Decision Processes (MDPs) and Partially Observable MDPs (POMDPs), taking real-time data into account for evaluating the evolving conditions and related model uncertainties, in order to select the best possible life-cycle actions in time, with global optimality guarantees for the formulated optimization problem. …”
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Design of a Logistics Nonlinear System for a Complex, Multiechelon, Supply Chain Network with Uncertain Demands by Aaron Guerrero Campanur, Elias Olivares-Benitez, Pablo A. Miranda, Rodolfo Eleazar Perez-Loaiza, Jose Humberto Ablanedo-Rosas

“…Industrial systems, such as logistics and supply chain networks, are complex systems because they comprise a big number of interconnected actors and significant nonlinear and stochastic features. This paper analyzes a distribution network design problem for a four-echelon supply chain. …”
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Picture fuzzy Aczel–Alsina power geometric aggregation operators with confidence level and their application to multi-criteria decision-making by K. Deva, K. Marimuthu, Nasir Ali, S. Senthil, Fikadu Tesgera Tolasa, Ümit Karabiyik

“…Additionally, the mathematical properties and structural features of these new operators are examined in detail. …”
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Gas Leak Detection and Leakage Rate Identification in Underground Utility Tunnels Using a Convolutional Recurrent Neural Network by Ziyang Jiang, Canghai Zhang, Zhao Xu, Wenbin Song

“…To address the low-resolution problem of existing imaging devices, video super-resolution (VSR) was used to improve the data quality. …”
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DC serial arc fault recognition in aircraft using machine learning techniques by Raul Carreira Rufato, Thierry Ditchi, Cyril Van de Steen, Thierry Lebey, Yacine Oussar

“…A classifier is implemented based on the extraction of relevant features from the conventional current signals. The selection and design of the model is based on the Internal SVM – RFE technique. …”
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Multi-Scale Twin Networks for Coastal Zone Change Detection in Remote Sensing Imagery by Peiqi Zhu, Xiaoyi Jiang, Qi He, Longfei Zhao, Yu Hong, Xue Guo, Hanrui Sun

“…The method leverages multi-scale features extracted by the ResNet backbone, which are then optimized and integrated through high-frequency attention and spatio-temporal difference modules. …”
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