Positivity for antiribonucleoprotein antibodies in rheumatic diseases: focus on scleroderma systematica by R. U. Shayakhmetova, L. P. Ananyeva

“…The review deals with the problem of antibody production in scleroderma systematica (SDS), with a focus on antiribonucleoprotein (RNP) antibodies: frequency, structure, and clinical associations. …”
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Rediscovering Recovery: Reconceptualizing Underlying Assumptions of Citizenship and Interrelated Notions of Care and Support by Caroline Vandekinderen, Griet Roets, Rudi Roose, Geert Van Hove

“…We argue that these assumptions place a burden of self-governance on citizens with mental health problems and risk producing people with mental health problems as nonrecyclable citizens. …”
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Optimizing balanced accuracy in medical data threshold models by Benjamin F. Dribus, Jamie Hill, Neil Goldsmith, Daniel Martingano

“…While our viewpoint and featured applications involve medical datasets, our methods apply to general threshold-defined classification problems. …”
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SEM investigation of interfaces after simultaneous contact of Cu-20Ti and Cu melts with zirconia ceramic by Oleksii Durov, Tatyana Stetsyuk, Oleksandr Umanskyi, Vitaliy Krasovskyy, Olena Poliarus

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Influence of psychoemotional stress on the functional activity of neutrophilic granulocytes and lipid peroxidation intensity in qualified athletes in competitive period by K. P. Bazarin, A. A. Savchenko

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Cross-cultural aspects of psychotherapy (literature review) by A. A. Ovchinnikov, A. N. Sultanova, L. T. Kiseleva

“…At the current stage of development of psychotherapy problems of cross-cultural differences have not lost their meaning, but have acquired deeper features due to increase of migration, overall rise of interest in our culture, our origin. …”
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DATA MINING IN RELATIONAL SYSTEMS by Valentin Filatov, Valerii Semenets, Oleg Zolotukhin

“…The features of the structural specification of a relational database, the formation of association rules for building a decision support system are investigated. …”
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Neurological Disorders and Clinical Progression in Boxers from the 20th Century: A Narrative Review by Rudolph J. Castellani, Nicolas Kostelecky, Jared T. Ahrendsen, Malik Nassan, Pouya Jamshidi, Grant L. Iverson

“…The presence or absence of 22 neurological signs and features were extracted. <b>Results</b>: The most common neurological problems were slurring dysarthria (49%), gait disturbances (44%), and memory loss (36%), with several other problems that were less frequent, including hyperreflexia (25%), ataxia (22%), increased tone (19%), and extensor Babinski sign (16%). …”
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Dynamic programming in applied tasks which are allowing to reduce the options selection by D. A. Karpov, V. I. Struchenkov

“…Possibilities are analyzed for a sharp increase in the effectiveness of using dynamic programming in solving applied problems with specific features, which allows us to refuse to split a regular grid of states and implement an algorithm for finding the optimal trajectory when rejecting not only unpromising options for paths leading to each of the states, and all of them continuations, as in R. …”
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Sequence-to-point learning based on spatio-temporal attention fusion network for non-intrusive load monitoring by Shiqing Zhang, Youyao Fu, Xiaoming Zhao, Jiangxiong Fang, Yadong Liu, Xiaoli Wang, Baochang Zhang, Jun Yu

“…Initially, a temporal feature extraction module is designed to extract temporal features over a large temporal receptive field. …”
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Attention-Guided Residual Spatiotemporal Network with Label Regularization for Fault Diagnosis with Small Samples by Yanlong Xu, Liming Zhang, Ling Chen, Tian Tan, Xiaolong Wang, Hongguang Xiao

“…Subsequently, a residual module is introduced to address the vanishing gradient problem of the model in deep network structures. In addition, LSTM is used to realize spatiotemporal feature fusion. …”
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Pressing Issues of Ensuring the Internal Quality Control of the Auditing Organizations by E. A. Gotovskaya

“…The article considers both theoretical and practical problems of ensuring internal quality control in auditing organizations, which are nowadays widely disputed. …”
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Suppositional Desires and Rational Choice Under Moral Uncertainty by Nicholas Makins

“…rather than “how much value does this theory assign to this option?” these problems can be avoided, while the appealing features of these accounts can be preserved. …”
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Blockchain-Enabled Federated Learning in Healthcare: Survey and State-of-the-Art by Nasim Nezhadsistani, Naghmeh S. Moayedian, Burkhard Stiller

“…Centralization of health data to train ML models does pose privacy, ownership, and regulatory problems. Federated learning solves such problems by distributing the learning process to several devices, but it also encounters problems like encouraging participants and model aggregation correctness. …”
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Emotion classification with multi‐modal physiological signals using multi‐attention‐based neural network by Chengsheng Zou, Zhen Deng, Bingwei He, Maosong Yan, Jie Wu, Zhaoju Zhu

“…The feature‐level attention module encodes the rich information of each physiological signal. …”
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AReal-time Detection Method of Vehicle Target Based on Improved YOLOv5s Algorithm by CHEN Xiufeng, WANG Chengxin, WU Yuechen, GU Kexin

“…To improve the detection rate of small target vehicles，an optimization of the YOLOv5s algorithm network structure was established，which added a small target detection layer and spliced the shallow feature map with the deep feature map in the detection. …”
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Lightweight obstacle detection for unmanned mining trucks in open-pit mines by Guangwei Liu, Jian Lei, Zhiqing Guo, Senlin Chai, Chonghui Ren

“…Abstract This paper aims to solve the problem of the difficulty in balancing the model size and detection accuracy of the unmanned mining truck detection network in open-pit mines, as well as the problem that the existing model is not suitable for mining truck equipment. …”
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A Composite Recognition Method Based on Multimode Mutual Attention Fusion Network by Xing Ding, Xiangrong Zhang, Chao Liang, Bo Liu, Lanjie Niu

“…To address the problem of single-mode vulnerability to complex environments, a multimode fusion network with mutual attention is proposed. …”
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Fault Diagnosis Method for Vacuum Contactor Based on Time-Frequency Graph Optimization Technique and ShuffleNetV2 by Haiying Li, Qinyang Wang, Jiancheng Song

“…The objective is to solve the problem of low diagnostic performance efficiency caused by the inadequate feature extraction capability and the redundant pixels in the graph background. …”
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DCN-YOLO: A Small-Object Detection Paradigm for Remote Sensing Imagery Leveraging Dilated Convolutional Networks by Meilin Xie, Qiang Tang, Yuan Tian, Xubin Feng, Heng Shi, Wei Hao

“…To address this problem, we propose to use multi-scale dilated convolutions to increase the receptive field size of the model to adapt to changes in object size, capture multi-scale contextual information of the feature map, and extract richer object features. …”
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