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).…”
Get full text

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. …”
Get full text

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. …”
Get full text

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). …”
Get full text

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.…”
Get full text

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’s formula where the first-order partial derivation of OCV against state of charge (SOC) is modeled as unmodeled noise. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

Estimated Disease Progression Trajectory of White Matter Disruption in Unilateral Temporal Lobe Epilepsy: A Data-Driven Machine Learning Approach by Daichi Sone, Noriko Sato, Yoko Shigemoto, Iman Beheshti, Yukio Kimura, Hiroshi Matsuda

“…Results: The SuStaIn algorithm identified a single subtype model in which the initial damage occurs in the ipsilateral uncinate fasciculus (UF), followed by damage in the forceps, superior longitudinal fasciculus (SLF), and anterior thalamic radiation (ATR). …”
Get full text

Antiviral activity of herbal extracts against the tick borne encephalitis virus (literature review) by I. S. Solovarov, M. A. Khasnatinov, A. V. Liapunov, E. L. Manzarova, N. A. Bolotova, N. .. Oyuntsetseg, G. A. Danchinova

“…The article discusses the possibility of using these substances against TBEV and the optimal algorithm for searching for antiviral agents in plant preparations.…”
Get full text

A novel method based on lesion expansion to assess plant disease severity by Feng Qin, Haiguang Wang, Qian Jiang, Hongli Wang

“…No matter which method was used to determine the lesion expansion coefficient/coefficients, the performance of the severity assessments of the single diseased leaves achieved after lesion expansion using lesion expansion method 3 (the lesion expansion method based on an image scaling algorithm) outperformed that achieved after lesion expansion using the other two lesion expansion methods. …”
Get full text

Capacity Estimation and Knee Point Prediction Using Electrochemical Impedance Spectroscopy for Lithium Metal Battery Degradation via Machine Learning by Qianli Si, Shoichi Matsuda, Yasunobu Ando, Toshiyuki Momma, Yoshitaka Tateyama

“…The optimized models exhibit comparable or improved accuracy compared to those using the whole EIS data and have reasonable performance on unseen test data. …”
Get full text

COMPARATIVE ANALYSIS OF CLASSIFICATION MODELS FOR DETERMINING THE QUALITY OF WINE BY ITS CHEMICAL COMPOSITION by Vladimir S. Repkin, Artemy V. Li, Grigory Yu. Semenov, Nikita I. Sermavkin, Alexander S. Kovalenko, Nikolai S. Egoshin

“…The latter does not contribute to the development of constructive competition in the market and has a negative impact both on the market as a whole and in terms of ensuring the interests of the consumer. …”
Get full text

Breast cancer survival prediction using an automated mitosis detection pipeline by Nikolas Stathonikos, Marc Aubreville, Sjoerd deVries, Frauke Wilm, Christof A Bertram, Mitko Veta, Paul J vanDiest

“…In conclusion, a fully automated MC AI algorithm was validated in a large cohort of breast cancer with regard to retained prognostic value compared with traditional light‐microscopic MC.…”
Get full text