Analysis and prospects for the development of services of the chamber of commerce and industry of Ukraine by O. M. Vinichenko, S. I. Chymshyt, V. O. Ilyukhina, H. E. Riabyk

“…In particular, it is recommended to implement research services, a generalized algorithm for their implementation being presented. …”
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Potential of GNSS-R for the Monitoring of Lake Ice Phenology by Yusof Ghiasi, Claude R. Duguay, Justin Murfitt, Milad Asgarimehr, Yuhao Wu

“…A moving <italic>t</italic>-test algorithm was applied to time-varying SNR values allowing for the detection of lake ice at daily temporal resolution. …”
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Androgens and severity of the new coronavirus infection course by A. A. Gritskevich, Ya. D. Prokhorova, T. P. Baitman, E. Yu. Gritskevich, A. A. Kostin

“…In particular, the data of clinical studies demonstrate a correlation between the level of testosterone in the blood serum and the level of inflammatory cytokines, the features of viral entry into cells, the course of the disease as a whole. This is especially important for understanding the features of the new coronavirus infection in patients with prostate cancer (PC), including for the development of a therapeutic algorithm, indications and contraindications to certain methods of treating PC in a pandemic, as well as ways of additional therapeutic effects when combined with PC and COVID‑19.The review presents the results of studies on the potential mechanisms of increased susceptibility of men to SARS‑CoV‑2 and discusses the search for new therapeutic targets in COVID‑19, discusses the features of the course of COVID‑19 in patients with PC depending on the level of androgens, including androgen deprivation therapy (ADT).…”
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Deep Learned Feature Technique for Human Action Recognition in the Military using Neural Network Classifier by Adeola O Kolawole, Martins E Irhebhude, Philip O Odion

“…Images were segmented into background and foreground using a Grabcut-based segmentation algorithm. On the foreground masked images, features were extracted and used for classification with neural network. …”
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Minimizing Delay in UAV-Aided Federated Learning for IoT Applications With Straggling Devices by Mudassar Liaq, Waleed Ejaz

“…We then use the concurrent deterministic simplex with root relaxation algorithm. We also propose a deep reinforcement learning (DRL)-based solution to improve runtime complexity. …”
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Graph Neural Network With Hessian-Based Locally Linear Embedding for Cancer Metastasis Analysis in Lymph Nodes Using DeepLab Segmentation by Senthil Jayapal, R. Annamalai

“…In clinical settings, where whole-slide images of histological lymph nodes are involved, it is crucial to identify and detect breast cancer metastases. …”
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Large indel detection in region-based phased diploid assemblies from linked-reads by Can Luo, Brock A. Peters, Xin Maizie Zhou

“…This pipeline only focuses on target regions (50kb by default) to extract barcoded reads as input and then integrates a haplotyping algorithm and local assembly to generate phased diploid contiguous sequences (contigs). …”
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Prediction of Aerosol Particle Size Distribution Based on Neural Network by Yali Ren, Jiandong Mao, Hu Zhao, Chunyan Zhou, Xin Gong, Zhimin Rao, Qiang Wang, Yi Zhang

“…The results show that BP neural network has a better prediction effect than that of the RBF neural network and is an effective method to obtain the aerosol particle size distribution of the whole atmosphere column using the data of CE-318 and APS 3321.…”
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UWB Base Station Deployment Optimization Method Considering NLOS Effects Based on Levy Flight-Improved Particle Swarm Optimizer by Shengliang Wang, Ming Gao, Ling’ai Li, Dong Lv, Yingqi Li

“…In this paper, we propose a new UWB BS deployment optimization method that takes into account the influence of NLOS occlusion, determines the BS deployment range and occlusion by indoor map information, uses the locatable points coverage rate in the whole indoor positioning area as the fitness function, and proposes an improved particle swarm optimization algorithm based on the Levy flight strategy (LPSO) to solve the optimization problem. …”
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Cross-field strength and multi-vendor reliability of MagDensity for MRI-based quantitative breast density analysis. by Jia Ying, Renee Cattell, Chuan Huang

“…BD was assessed using the MagDensity technique, which included combining magnitude and phase images, applying a fat-water separation technique, employing an automated whole-breast segmentation algorithm, and quantifying the volumetric water fraction. …”
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Online Estimation of the State of Health for the Lithium-Ion Battery Based on Open Circuit Model by Pan Yajia, Junda Li, Wang Tian'An, Yang Shengxun, Zhang Yunxuan, Li Zigang, Hu Yanwen

“…Firstly, the Thevenin model of the lithium-ion battery is established, of which the parameters are identified online by the recursive least squares with forgetting factor algorithm. Then, the OCV model is set up based on the first-order Taylor&#x2019;s formula where the first-order partial derivation of OCV against state of charge (SOC) is modeled as unmodeled noise. …”
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Creep behavior of clayey soil and its model prediction in the Cangzhou land subsidence area by Jianfeng Qi, Yongjie Xie, Chen Li, Haipeng Guo, Yunlong Wang

“…The model contains five parameters, which can be solved by using genetic algorithm, and then a simple determination method of the parameters is proposed. …”
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An Ultrafast Image Simulation Technique with Spatially Variable Point-spread Functions by Zeyu Bai, Peng Jia, Jiameng Lv, Xiang Zhang, Wennan Xiang, Lin Nie

“…Simulated images are essential in algorithm development and instrument testing for optical telescopes. …”
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Impacts of inter-train distances on aerodynamic drag reduction in heavy-haul train groups by LYU Jun, XIANG Tao, SONG Zongying, GAO Guangjun

“…Apparent errors were observed in the coarse grid configuration, while variations in aerodynamic drag acting on the whole train were less than 3% for the medium and fine grids. …”
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LIMITS AND OPERATIONAL EVALUATION OF THE SPAWNERS ESCAPEMENT TO THE SPAWNING GROUNDS AS TOOLS FOR PROSPECTIVE AND SHORT-TERM MANAGEMENT OF THE PACIFIC SALMON STOCKS IN THE RIVERS O... by E. A. Shevlyakov, M. G. Feldman, V. I. Ostrovsky, V. V. Volobuev, A. M. Kaev, E. V. Golub, E. I. Barabanshchikov, I. S. Golovanov

“…If the method of the efficient spawning density is applied to the whole area of spawning grounds, without examination of conditions for spawning, false conclusions on optimum abundance of the spawners could be made. …”
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The Influence of Non-Landslide Sample Selection Methods on Landslide Susceptibility Prediction by Yu Fu, Zhihao Fan, Xiangzhi Li, Pengyu Wang, Xiaoyue Sun, Yu Ren, Wengeng Cao

“…This study compares three sample selection strategies: whole-region random selection, landslide buffer zone selection, and the enhanced information value (EIV) method. …”
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Pathology in a digital realm: food for thought! by Palzum Sherpa

“…Digital Pathology, as defined by Digital Pathology Association is an image-based environment that enables the acquisition, management, and interpretation of information generated from a digitalized glass slide.1 The advent of fast and affordable whole slide scanners has aided in this paradigm shift from traditional to virtual microscopy. …”
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Enhanced Cuckoo Search Optimization with Opposition-Based Learning for the Optimal Placement of Sensor Nodes and Enhanced Network Coverage in Wireless Sensor Networks by Mandli Rami Reddy, M. L. Ravi Chandra, Ravilla Dilli

“…The proposed method enhances network coverage with a non-uniform distribution of sensor nodes and attempts to cover the whole ROI with a minimal number of sensor nodes. …”
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Bankruptcy Risk Factors of Russian Companies by A. A. Zhukov, E. D. Nikulin, D. A. Shchuchkin

“…This result confirmed that machine learning methods (in particular, the random forest algorithm) are highly effective in solving the problem of bankruptcy prediction for a company. …”
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Impact of Depressurizing Boreholes on Energy Dissipation in Deep Roadway by Meng Wang, Zhixue Li, Yalong Xu, Zhenhua Li, Ruifu Yuan, Hongchao Zhao, Guodong Li

“…The equations of elastic energy and dissipated energy of rock cell grid were derived based on the energy principle and finite-difference algorithm, which was implemented into FLAC3D software by the FISH language. …”
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