Aspects of treatment of patients with abdominal oncopathology against the background of chronic kidney disease by I. A. Paltyshev, M. A. Belyaev, A. A. Zakharenko

“…The literature review highlights some problems related to the treatment of cancer patients with kidney dysfunction: epidemiology, features of diagnostic and dynamic examinations, surgical and chemotherapeutic treatment, as well as a number of organizational problems that arise when planning treatment for this complex group.…”
Get full text

STATE-PRIVATE PARTNERSHIP AS A MUTUALLY BENEFICIAL COOPERATION OF STATE AND BUSINESS: HISTORIC EXPERIENCE AND PRESENT APPROACHES by Mihail N. Sidorov, Larissa R. Kotova

“…The article by analyzing key approaches to the role of state in ensuring interaction with business structures provides the authors' approach to interpreting the phenomenon of state-private partnership based on balance of interests, benefits and risks of state, business and society while interacting in order to solve socially important problems. Key features and principles of state-private partnership are identified by analyzing different definitions of its content which are accepted in foreign and Russian science and practice. …”
Get full text

A Novel Dual-Channel Hybrid Attention Model for Wind Turbine Misalignment Fault Diagnosis by Tong Tong, Xiang Liu, Jia Zhang, Dian Long, Teng Fan, Xiangyang Zheng

“…Aiming at the problems of inaccurate feature extraction, slow convergence, and low diagnostic accuracy of wind turbine misalignment fault diagnosis under complex working conditions, this paper proposes an innovative diagnostic method based on two channels of U-Net and ResNet50. …”
Get full text

Difference Perception Fusion Network for Remote Sensing Image Change Detection by Lijing Wang, Ying Xie, Zhongda Lu, Shipeng Tian

“…First, multilevel bitemporal features are extracted through the Siamese backbone network. …”
Get full text

Application of Optimized Convolution Neural Network Model in Mural Segmentation by Zhiqiang Chen, Leelavathi Rajamanickam, Xiaodong Tian, Jianfang Cao

“…Finally, the same convolution network is used to reduce the number of channels and filter the density feature map. The filtered features are fused with the features after multi-scale fusion again to obtain the final output. …”
Get full text

BIOMETRIC ACCESS CONTROL SYSTEMS BASED ON FINGERPRINTS by V. V. Starovoitov

Get full text

METHODS AND FORMS OF FORECASTING OF TAX REVENUES IN THE REGIONAL BUDGET by Maxim Alexeyevich Pischansky, Glazkov Nikolay And

“…In article some mathematical methods of forecasting of tax revenues are considered, some common problems in forecasting are allocated, features of the concept of regional government and budget planning by information technologies.…”
Get full text

prioriactions: Multi‐action management planning in R by José Salgado‐Rojas, Virgilio Hermoso, Eduardo Álvarez‐Miranda

“…We introduce the R package prioriactions, which allows solving complex conservation planning problems comprising prioritization and action deployment decisions. prioriactions features a MIP approach that allows formulating and solving optimally (or nearly optimally) a wide class of conservation planning problems (characterized by different spatial and functional constraints and requirements). …”
Get full text

Mechanisms of autoimmune pathology in post-COVID syndrome by E. A. Orlova, I. G. Kondratov, O. B. Ogarkov, L. I. Kolesnikova

Get full text

HOW TO CREATE BUSINESS PERFORMANCE MANAGEMENT (BPM) SYSTEM by B. Ye. Odintsov, A. N. Romanov

“…The reasons of occurrence of these problems as well as their semantics and features are analyzed in terms of practical creation of BPM-systems. …”
Get full text

Quality Management at Russian Enterprises in Conditions of Import-Substitution by S. P. Burlankov, A. S. Baldina

“…The article deals with specific features of quality management at Russian enterprises in conditions of intensive import-substitution connected with introduction of economic sanctions against our country. …”
Get full text

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. …”
Get full text

Metabolic aspects of diabetes mellitus type 1 in representatives of different ethnic groups by M. A. Darenskaya, L. A. Grebyonkina, S. V. Gnusina

Get full text

Keypoint Detection Based on Curvature Grouping and Adaptive Sampling by Bifu Li, Yu Cheng, Weitong Li

“…In the methods, reproducibility and interpretability of keypoints are relatively poor. To address the problems, this paper introduces point cloud geometric features to build a keypoint detection and description network that makes the keypoints more stable and their geometric properties easier to distinguish. …”
Get full text

Fault diagnosis of ZDJ7 railway point machine based on improved DCNN and SVDD classification by Zengshu Shi, Yiman Du, Xinwen Yao

“…In addition, some fault features are unbalanced and have the features of multiple tags, which lead to low diagnosis accuracy. …”
Get full text

Remaining Useful Life Prediction of Rolling Bearings Based on Multiscale Convolutional Neural Network with Integrated Dilated Convolution Blocks by Ran Wang, Ruyu Shi, Xiong Hu, Changqing Shen

“…Thus, a multiscale convolutional neural network (MS-CNN) is introduced to overcome these aforementioned problems. Convolution filters with different dilation rates are integrated to form a dilated convolution block, which can learn features in different receptive fields. …”
Get full text

Dynamic Gesture Recognition Algorithm Combining Global Gesture Motion and Local Finger Motion for Interactive Teaching by Li Jiashan, Li Zhonghua

“…Secondly, the key frame gesture features of gesture global motion and finger local motion are fused, and linear discriminant analysis is used for feature dimensionality reduction. …”
Get full text

Honeypot contract detection of blockchain based on deep learning by Hongxia ZHANG, Qi WANG, Dengyue WANG, Ben WANG

“…Aiming at the problems of low accuracy of current detection methods and poor generalization of model, a honeypot contract detection method based on KOLSTM deep learning model was proposed.Firstly, by analyzing the characteristics of honeypot contract, the concept of key opcode was proposed, and a keyword extraction method which could be used to select the key opcode in smart contract was designed.Secondly, by adding the key opcode weight mechanism to the traditional LSTM model, a KOLSTM model which could simultaneously capture the sequence features and key opcode features hidden in the honeypot contract was constructed.Finally, the experimental results show that the model had a high recognition accuracy.Compared with the existing methods, the F-score is improved by 2.39% and 19.54% respectively in the two classification and multi-classification detection scenes.…”
Get full text

Physical development of children of the city Dnipro, patients with cystic fibrosis. by N. N. Kramarenko, S. H. Ivanus

“…36 children with cystic fibrosis are inspected. Certain modern problems of children’s cystic fibrosis and questions related with warning and slowing down unfavorable consequences of illness in the future are determined. …”
Get full text

NATURE USAGE OF HYDRO RESOURCES IN THE REPUBLIC OF CRIMEA by Inessa Penkova, Lyudmila Akinina

“…The material analyzes the financing of water use in the territory of the Crimea with an emphasis on reproductive and recreational features of the Crimean hydro resources. The study has identiied the main problems of nature management sustainability in the ield of reproductive and recreational water resources, which has allowed to formulate the main directions for solution ofproblems found.…”
Get full text