Economic burden of systemic sclerosis: systematic review by D. L. Klabukova, V. S. Krysanova, T. N. Ermolaeva, M. V. Davydovskaya, K. A. Kokushkin

“…To identify Russian-language studies, an additional search was conducted in eLIBRARY.ru and the Internet network. The evidence levels of the included studies were determined.Results. …”
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A Moving Object Detection Method Based on Conditional Information and Feature Deepening by Hongrui Zhang, Luxia Yang

“…In the field of moving object detection methods relying on generative adversarial networks, there are problems such as uncontrollable generation results and incomplete extraction of target details. …”
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Obtaining of zirconium silicate materials of aerogel type from aqueous solutions of Na₂SiO₃ and ZrOCl₂ salts by M. V. Kravchenko, A. V. Redkina, N. D. Konovalova

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Internet addiction in adolescents in Central Siberia: analysis of prevalence and structure of consumed content by L. S. Evert, S. Yu. Tereshchenko, O. I. Zaitseva, N. B. Semenova, M. V. Shubina

“…Gambling addiction was rated according to the Game Addiction Scale for Adolescents, and addiction to social networks was rated according to the Social Media Disorder Scale. …”
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Connaissances, attitudes et pratiques des parents d’enfants de 12 à 24 mois sur la vaccination dans la Région Maritime au Togo en 2023 by Yao Kataa, Kokou Ayamekpe, Mandjarétou Assih, Takpaya Gnaro, Koffi Akolly, Yamdi Kanou, Titaféi Pouwè Taré, Komlan Aziamadji, Rebecca Mèyè Kinde, Didier Koumavi Ekouevi

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Replay-Based Incremental Learning Framework for Gesture Recognition Overcoming the Time-Varying Characteristics of sEMG Signals by Xingguo Zhang, Tengfei Li, Maoxun Sun, Lei Zhang, Cheng Zhang, Yue Zhang

“…Gesture recognition techniques based on surface electromyography (sEMG) signals face instability problems caused by electrode displacement and the time-varying characteristics of the signals in cross-time applications. …”
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Dual-Stage Clean-Sample Selection for Incremental Noisy Label Learning by Jianyang Li, Xin Ma, Yonghong Shi

“…Class-incremental learning (CIL) in deep neural networks is affected by <i>catastrophic forgetting</i> (CF), where acquiring knowledge of new classes leads to the significant degradation of previously learned representations. …”
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Deep Learning-Based Prediction of Pitch Response for Floating Offshore Wind Turbines by Ruifeng Chen, Ke Zhang, Min Luo, Ye An, Lixiang Guo

“…The proposed model is applied to two distinct types of FOWTs under three sea states, and the results demonstrate its satisfactory accuracy, with an average correlation coefficient (CC) of 0.9962 and an average coefficient of determination (R²) of 0.9864. …”
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Evaluating the level of digitalization of the innovation process with artificial intelligence approach in the digital transformation of knowledge-based companies by ali Bagheri, reza radfar, sepehr ghazinoory

“…After examining the opinions of the experts, it was determined that a consensus was reached by having an average above 4 for all indicators. In adaptive neural fuzzy inference, the network separation method or lookup table (PG) was used in MATLAB 2023 software. …”
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A novel reinforcement learning framework-based path planning algorithm for unmanned surface vehicle by Jianhui Mou, Bo Shi, Bo Wang, Chengcheng Yu, Yangwei Wang, Fusheng Zhong, Li Zheng, Jian Wang, Junjie Li

“…However, path planning for USVs often faces several inherent difficulties during ocean observation missions: high dependence on environmental information, long convergence time, and low-quality generated paths. To solve these problems, this article proposes a novel artificial potential field-heuristic reward-averaging deep Q-network (APF-RADQN) framework-based path planning algorithm, aiming at finding optimal paths for USVs. …”
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Evaluasi sistem proteksi penyulang kalingga pada gardu induk New Jakabaring yang melayani pelanggan premium by Anton Firmansyah, Muhammad Noer, Ihsan Jihadi Putra

“…PLN (Persero) UP3 Palembang added the existing network to the substation. This change in the electricity distribution configuration should be balanced with proper coordination of protection in order to maintain the reliability of the electricity supply, but the reality in the field is different, as of April 2019, the Kalingga feeder has experienced 88 blackouts with an average of 656 minutes. …”
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Comparison of a Fuzzy Genetic and Simulated Annealing Algorithm Approach for Project Time-Cost Tradeoff by Nataša Glišović

“…The comparison of fuzzy simulated annealing and the genetic algorithm based on the crashing method is introduced in this paper to evaluate project networks and determine the optimum crashing configuration that minimizes the average project cost, caused by being late and crashing costs in the presence of vagueness and uncertainty. …”
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Stationary characteristics of unreliable queueing system with a batch Markovian arrival process by V. I. Klimenok

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Radiomics-driven neuro-fuzzy framework for rule generation to enhance explainability in MRI-based brain tumor segmentation by Leondry Mayeta-Revilla, Leondry Mayeta-Revilla, Leondry Mayeta-Revilla, Leondry Mayeta-Revilla, Eduardo P. Cavieres, Eduardo P. Cavieres, Eduardo P. Cavieres, Matías Salinas, Matías Salinas, Matías Salinas, Diego Mellado, Diego Mellado, Diego Mellado, Diego Mellado, Sebastian Ponce, Sebastian Ponce, Sebastian Ponce, Sebastian Ponce, Francisco Torres Moyano, Francisco Torres Moyano, Francisco Torres Moyano, Francisco Torres Moyano, Steren Chabert, Steren Chabert, Steren Chabert, Marvin Querales, Marvin Querales, Julio Sotelo, Rodrigo Salas, Rodrigo Salas, Rodrigo Salas

“…Although Deep Learning (DL) models offer strong performance in tumor detection and segmentation using MRI, their black-box nature hinders clinical adoption due to a lack of interpretability.MethodsWe present a hybrid AI framework that integrates a 3D U-Net Convolutional Neural Network for MRI-based tumor segmentation with radiomic feature extraction. …”
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Non-Linear Super-Stencils for turbulence model corrections by Jonas Luther, Patrick Jenny

“…In summary, this work aims at NLSS-corrected RANS solvers able to generalize to a large class of turbulent flow problems, achieving the accuracy of averaged direct numerical simulation at much lower cost.…”
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An Efficient CNN for Hand X-Ray Overall Scoring of Rheumatoid Arthritis by Zijian Wang, Jian Liu, Zongyun Gu, Chuanfu Li

“…Here, we developed an efficient model powered by deep convolutional neural networks to solve these problems and automated the overall scoring on hand X-rays. …”
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People tracking accuracy improvement in video by matching relevant trackers and YOLO family detectors by H. Quan, G. Ma, Y. Weichen, R. Bohush, F. Zuo, S. Ablameyko

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Pairing-free Proxy Re-Encryption scheme with Equality Test for data security of IoT by Gang Han, Le Li, Baodong Qin, Dong Zheng

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Optimization complexity and resource minimization of emitter-based photonic graph state generation protocols by Evangelia Takou, Edwin Barnes, Sophia E. Economou

“…We find the optimal emission orderings and circuits to prepare unencoded and encoded repeater graph states of any size, achieving global minimization of emitter and CNOT resources despite the average NP-hardness of both optimization problems. …”
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Clozapine-induced gastrointestinal hypomotility: UK pharmacovigilance reports, 2018–2022 by Robert James Flanagan, Simon Alfred Handley, Charlotte James, Lilly Wells, Susanna Every-Palmer

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