Clinical diagnostic features and surgical outcomes of mesial temporal lobe epilepsy by O. P. Subbotina, L. M. Tibekina, S. N. Tonyan

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Features of emotional burnout during the pandemic of nurses with different professional experience by V. V. Kozyreva

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Joint QoS prediction for Web services based on deep fusion of features by Jianxun LIU, Linghang DING, Guosheng KANG, Buqing CAO, Yong XIAO

“…In order to solve the problem of insufficient accuracy of Web service QoS prediction, a joint QoS prediction method for Web services based on the deep fusion of features was proposed with considering of the hidden environmental preference information in QoS and the common features of multi-class QoS.First, QoS data was modeled as a user-service bipartite graph and multi-component graph convolution neural network was used for feature extraction and mapping, and the weighted fusion method was used for the same dimensional mapping of multi-class of QoS features.Subsequently, the attention factor decomposition machine was used to extract the first-order features, second-order interactive features, and high-order interactive features of the mapped feature vector.Finally, the results of each part were combined to achieve the joint QoS prediction.The experimental results show that the proposed method is superior to the existing QoS prediction methods in terms of root mean square error (RMSE) and average absolute error (MAE).…”
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Deep blur detection network with boundary-aware multi-scale features by Xiaoli Sun, Qiwei Wang, Xiujun Zhang, Chen Xu, Weiqiang Zhang

“…To solve this problem, we newly establish a boundary-aware multi-scale deep network in this paper. …”
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Image Classification of Imbalanced Wood Microscope by Integrating Multi-source Features by Zhikang Tian, Na Zhang, Jiwei Wang, Liwei Sha, Hongping Liu, Li Zou

“…This paper presents a multi-source feature fusion classification, which combines traditional local feature description with automatic feature extraction by deep learning. …”
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Straight Line Features Detection and Mosaic of Wind Power Blades Image by MA Baoyan, TANG Lei, ZHAO Jing, HE Yongjun

“…A splicing method based on line features is proposed to solve this problem. This method first detects straight lines in the images of the wind power blade, then selects the deduplication as the feature for image registration, and finally splices the blade image according to translation rotation matrix.Experimental results show that the proposed method shows strong robustness and stability in complex situations such as single structure, small coincidence degree and diverse backgroundstability.…”
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Formation Features of the Natural and Post-Vaccination Anti-Diphtheria Antitoxic Immunity by E. A. Shmeleva, T. N. Popova, A. V. Safronova

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Food Security of Kuzbass Region Population in 1905-1907: Local Features by A. Y. Karpinets

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CHILDREN TRANSPORTATION BY BUSES IN INTERCITY TRANSFERS TAKING INTO ACCOUNT AGE FEATURES by O. E. Yanuchkova, M. R. Yanuchkov, N. V. Yakunina

“…The paper is devoted to the problem of organized children transfers by road transport (buses) in intercity connection. …”
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Features of civic consciousness of university students at the present stage of educational development by I. V. Koltsova, V. V. Dolganina, M. I. Plugina

“…Aim. To study the features of civic consciousness among modern university students.Material and methods. …”
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Learning Part-Based Features for Vehicle Re-Identification with Global Context by Rajsekhar Kumar Nath, Debjani Mitra

“…Re-identification in automated surveillance systems is a challenging deep learning problem. Learning part-based features augmented with one or more global features is an efficient approach for enhancing the performance of re-identification networks. …”
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A text classification model for dynamic fusion of global and local features by ZHENG Wenjun, ZHANG Shunxiang

“…From the analysis of the ablation experiment, the dynamic fusion enhancement module fully makes the global temporal features and local semantic features of the text fused together, effectively solving the problem of insufficient use of global and local information in the text classification model.…”
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Theoretical model of effective elastic moduli of composites considering the inclusion features by Xuqian Liu, Zhangyu Wu, Shuohui Chen

“…Quantifying the effect of composition on the two-phase composite’s mechanical properties is crucial for the life prediction and durability design of the whole structure. Features of inclusions, especially shape and size, affect the two-phase composites’ effective elastic moduli significantly. …”
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Structural-Semantic Features of Parenthetical Constructions (by Material of Modern English Fiction) by I. S. Shishkina, A. Yu. Mironina

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Texture Analysis and Classification using Local Binary Patterns and Statistical Features by Hasan Maher

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Age-related changes of adaptive and neuropsychological features in persons with Down Syndrome. by Alessandro Ghezzo, Stefano Salvioli, Maria Caterina Solimando, Alice Palmieri, Chiara Chiostergi, Maria Scurti, Laura Lomartire, Federica Bedetti, Guido Cocchi, Daniela Follo, Emanuela Pipitone, Paolo Rovatti, Jessica Zamberletti, Tiziano Gomiero, Gastone Castellani, Claudio Franceschi

“…As the life expectancy of DS persons is rapidly increasing, this decline is becoming a dramatic health problem. The aim of this study was to thoroughly evaluate a group of 67 non-demented persons with DS of different ages (11 to 66 years), from a neuropsychological, neuropsychiatric and psychomotor point of view in order to evaluate in a cross-sectional study the age-related adaptive and neuropsychological features, and to possibly identify early signs predictive of cognitive decline. …”
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Language personality of a preschool child: features of development in the process of listening by Nataliia V. Kharchenko

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Risk factors and clinical features of osteopenia of prematurity: Single-center experience by Berna Saygın Hekimoğlu

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Features of recurrence of varicose disease of the lower limb and its surgical correction by P. N. Myshentsev, S. E. Katorkin

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Specific features of selection of promising hybrids of the genus Syringa for the variety testing by В. К. Горб

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