THE INCIDENCE OF VARICELLA IN CHILDREN AT HIGH RISK: EPIDEMIOLOGICAL AND CLINICAL FEATURES, THE COST OF THE DISEASE AND POTENTIAL COST-EFFECTIVENESS OF VACCINATION by O.Ya. Deineko, T.G. Avdeeva, N.V. Sulimova, D.N. Trashchenkova

“…Outbreaks of varicella in children’s groups raises a number of public health and economic problems. The aim of this study was to investigate the epidemiological and clinical features of the development and course of chickenpox in children of different ages from high-risk groups, as well as to analyze the estimated cost of the disease and the potential cost-effectiveness of vaccination. …”
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Features of involution and local inflammation of uterine tissues after planned caesarian section at various ways of uterine closure by V. A. Kramarskiy, Y. V. Trusov

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“In the centre and in the regions”. Features of the campaign to confiscate Church valuables, and the organisation of a schism in Turkestan diocese (1922–1923) by Ekaterina Ozmitel

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ALG1-congenital disorder of glycosylation: report of clinical and genetic features of three new cases and review of literature by Faeze Khaghani, Nafiseh Pourbadakhshan, Ehsan Ghayoor Karimiani, Farah Ashrafzadeh, Peyman Eshraghi

“…Although they all had walking problems, the youngest case gained the ability to walk by occupational therapy. …”
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MultiV_Nm: a prediction method for 2′-O-methylation sites based on multi-view features by Lei Bai, Fei Liu, Yile Wang, Junle Su, Lian Liu

“…Aiming at the current problems of unstable performance caused by the use of single features and the need to improve the prediction accuracy of Nm modification sites, this paper proposes MultiV_Nm, a prediction method for Nm sites based on multi-view features. …”
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THE FEATURES OF ADMINISTRATIVE-LAW REGULATION OF COMMERCIAL FISHING IN BAKHCHISARAY CITY IN 1879-1882 YEARS (BASED ON ARCHIVE SOURCES) by VANIEV E.S.

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Clinical Aspects, Imaging Features, and Considerations on Bisphosphonate-Related Osteonecrosis Risk in a Pediatric Patient with Osteogenesis Imperfecta by Fábio Wildson Gurgel Costa, Filipe Nobre Chaves, Alexandre Simões Nogueira, Francisco Samuel Rodrigues Carvalho, Karuza Maria Alves Pereira, Lúcio Mitsuo Kurita, Rodrigo Rodrigues Rodrigues, Cristiane Sá Roriz Fonteles

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Revealing the Relationship Between Urban Park Landscape Features and Visual Aesthetics by Deep Learning-Driven and Spatial Analysis by Jiaxuan Shi, Lyu Mei, Yumeng Meng, Weijun Gao

“…The Semantic Differential (SD) method was used to get sample subjective landscape features. Meanwhile, sample objective landscape features were obtained by using semantic segmentation techniques in deep learning and combined with spatial analysis to understand their distribution. …”
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Clinical and psychological aspects of pregnancy and features of the course of labor in women with different types of psychological component of gestational dominant by V. M. Astakhov, O. V. Batsylieva, I. V. Puz

“…The aim of the work is to study and analyze the clinical and psychological aspects of pregnancy and features of the course of labor in women with different types of psychological component of gestational dominant (PCGD). …”
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Definition of the Main Features of Material Assemblies for Thermal Protective Clothing During External High-temperature Effect Modelling by Nataliia Ostapenko, Marina Kolosnichenko, Larysa Tretiakova, Tatyana Lutsker, Kalina Pashkevich, Alla Rubanka, Halyna Tokar

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Multi-scale aware dual path network for face detection in resource-constrained edge computing environment by Qi QI, Yingxin MA, Jingyu WANG, Haifeng SUN, Jianxin LIAO

“…Aiming at the problem that face detectors with complex deep neural structures are difficult to deploy in the resource-constrained edge computing environment,to reduce the resource consumption while maintain the accuracy in complex scenes such as multi-scale face changes,occlusion,blur,and illumination,SDPN(multi-scale aware dual path network) for face detection was proposed.The Face-ResNet (face residual neural network) was improved,and a dual path shallow feature extractor was used to understand the multi-scale information of the image through parallel branches.Then the deep and shallow feature fusion module,a combination of the underlying image information and the high-level semantic feature,was used in conjunction with the multi-scale awareness training strategy to supervise the multi-branch learning discriminating features.The experimental results show that SDPN can extract more diversified features,which effectively improve the accuracy and robustness of face detection while maintaining the efficiency of the model and low inference delay.…”
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Temporal record linkage for heterogeneous big data records by Reham I. Abdel Monem, Ehab E. Hassanein, Ali Z. El Qutaany

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Lightweight blasthole image detection and positioning method by Shan PAN, Ting YU, Zhongwen YUE, Zijian TIAN, Qingyu JIN

“…In terms of blasthole detection accuracy, the algorithm addresses the issue of false detection caused by the influence of surrounding rock backgrounds and rock shadows, as well as the problem of missed detection due to limited contextual information and identifiable features of blastholes in images. …”
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Peasantry in Samsun During the Development of Capitalism: The Results of a Field Study by Ezgi Turmuş Binici

“…While the ecological problems and the issues in food, which show an increase with industrialized agriculture, become more critical day by day, the issues of the peasantry and production generate current discussion. …”
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Low complexity radar signal classification based on spectrum shape by Liang YIN, Rui LIN, Xiaolei WANG, Yuliang YAO, Lin ZHOU, Yuan HE

“…In order to solve the problems of high computational complexity, low recognition accuracy of low signal to noise ratio (SNR) environment and low fidelity of simulation data in radar signal modulation recognition, a low complexity radar signal classification algorithm based on spectrum shape was proposed.Signal spectrum was normalized, feature parameters were extracted by spectrum sampling method, and then machine learning classification model was trained.The test results of the data generated by the radar signal source show that the classification accuracy of Barker code, Frank code, LFM code, BPSK, QPSK modulation and conventional radar signals is more than 90% (SNR≥3 dB).The algorithm has low computational complexity, can adapt to the change of signal parameters, and has good generalization.…”
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Optimized visual front-end navigation technology based on INS SLAM in smart tourism systems by Cheng Pan, Yuqing Liu, Meijiao Sun

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Clinical and psychological characteristics of patients with oncological diseases during the period of active specialized treatment in connection with the problems of psychotherapy by N. V. Semenova, S. V. Lyashkovskaya, I. S. Lysenko, P. D. Chernov

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Existence, uniqueness, and localization of positive solutions to nonlocal problems of the Kirchhoff type via the global minimum principle of Ricceri by In Hyoun Kim, Yun-Ho Kim

“…The purpose of this paper is to demonstrate the existence and uniqueness of positive solutions to fractional $ p $-Laplacian problems with discontinuous Kirchhoff-type functions. …”
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Is protracted bacterial bronchitis a new nosological group or an old problem of differential diagnosis of chronic cough in children? by S. I. Ilchenko, A. O. Fialkovska, L. O. Zhukova

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RISK DECREASE PROBLEM WITH MAKING ERRORS IN ACTIVITY OF OPERATORS DEALING WITH AUTOMATIC CONTROL SYSTEMS OF GAS-DISTRIBUTION STATIONS by V. V. Egorov, M. El-Greyd

“…The paper contains an analysis of specific features pertaining to the activity of operators dealing with automatic control systems of gas-distribution stations. …”
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