Damage prediction of rear plate in Whipple shields based on machine learning method by Chenyang Wu, Xiangbiao Liao, Lvtan Chen, Xiaowei Chen

“…In the realm of hypervelocity impact, strain rate (> 105 s−1) effects are negligible, and fluid dynamics is employed to describe the impact process. Efficient numerical tools for precisely predicting the damage degree can greatly accelerate the design and optimization of advanced protective structures. …”
Get full text

Epidemiological Characteristics of Tick-Borne Encephalitis in the Sverdlovsk District over a 20-Year Period by N. M. Kolyasnikova, L. G. Chistyakova, A. V. Ponomareva, A. E. Platonov, V. V. Romanenko, А. A. Ishmukhametov, V. G. Akimkin

“…To analyze the main indicators of the manifestation of the epidemic process of TBE in the territory of the Sverdlovsk district under the conditions of planned vaccination over a 20-year period (2002–2021).Materials and methods. …”
Get full text

Generation of recombinant rabies virus ERA strain applied to virus tracking in cell infection by Dan-dan ZHAO, Lei SHUAI, Jin-ying GE, Jin-liang WANG, Zhi-yuan WEN, Ren-qiang LIU, Chong WANG, Xi-jun WANG, Zhi-gao BU

“…The N/mCherry expression showed genetic stability during passage into mouse neuroblastoma (NA) cells and did not change the virulence of the vector. The rERA-N/mCherry strain was then utilized as a visual viral model to study the RABV-cell binding and internalization. …”
Get full text

Identification and Characterization of Genes Associated with Intestinal Ischemia-Reperfusion Injury and Oxidative Stress: A Bioinformatics and Experimental Approach Integrating Hig... by Xie Y, Yang M, Huang J, Jiang Z

“…Oxidative stress plays a critical role in this process, instigating inflammation and cell death. …”
Get full text

PECULIARITIES OF MANIFESTATION OF THE SKIN FORM OF LEISHMANIASIS OF MAXILLOFACIAL LOCALIZATION by M.G. Skikevych, L.I. Voloshyna

“… Leishmaniasis is a vector-borne disease in humans. Simple intracellular parasites cause the disease. …”
Get full text

ORTHODONTIC TREATMENT OF ADULT PATIENTS MALOCCLUSION WITH INFLAMMATORY PERIODONTAL DISEASES by O. Saranchuk

“…For a comprehensive treatment the following scheme was used: - Therapeutic treatment: included dental health, professional hygiene, skills training in hygiene and patient transfer gum disease in remission; - Orthodontic treatment, which consisted of the use of removable and fixed appliances; - Periodontal treatment - conducting professional oral hygiene during each visit to the orthodontist, vector therapy. The goal of orthodontic treatment was: • removal of plaque accumulation retention points; • redress some teeth to eliminate their functional overload; • stimulation of trophic periodontal tissues; • creation of functional, sustainable, aesthetic occlusion; • improving periodontal condition by stimulating reparative processes in bone tissue; • normalization of function of TMJ and muscles. …”
Get full text

Developing data driven framework to model earthquake induced liquefaction potential of granular terrain by machine learning classification models by Kennedy C. Onyelowe, Viroon Kamchoom, Tammineni Gnananandarao, Krishna P. Arunachalam

“…These optimum values of m and k parameters are fixed using trial and error process and the same fixed values. The best model was developed as evidence from the confusion matrixes and statistical indicators. …”
Get full text

Study on the role of FGF13 in the repair of inferior alveolar nerve injury by regulating mitochondrial function by JIAO Yi, SUN Xinrong, LIU Weicai

“…ND7/23 nerve cells were divided into overexpression group (ND7/23-FGF13) and control group (ND7/23-vector), transfected with FGF13 overexpression lentivirus and control virus, respectively. …”
Get full text

Does machine learning outperform logistic regression in predicting individual tree mortality? by Aitor Vázquez-Veloso, Astor Toraño Caicoya, Felipe Bravo, Peter Biber, Enno Uhl, Hans Pretzsch

“…Tree mortality is a crucial process in forest dynamics and a key component of forest growth models and simulators. …”
Get full text

Data science techniques to gain novel insights into quality of care: a scoping review of long-term care for older adults by Ard Hendriks, Coen Hacking, Hilde Verbeek, Sil Aarts

“…Text-mining/natural language processing (NLP) and support vector machines (SVMs) were the most deployed methods; accuracy was the most used metric. …”
Get full text

Implementation of article 67.1 of the Russian Constitution in the context of scientific historical and legal experience by M. A. Kozhevina

“…The formal legal method was also used. It determined the vector of analysis of the legal source and the internal structure of the legal norms of Article 67.1, as well as the legal and technical features of their implementation and enforcement.The main results, scope of application. …”
Get full text

Syndrome of antibody-dependent enhancement of infection by A. A. Grishaeva, Zh. B. Ponezheva, M. I. Cherenova, O. V. Fedorova, Yu. A. Dobrokhotova, G. N. Khokhlov

“…Antibody-Dependent Enhancement is an alternative route for virus entry into the target cells. In this process, cross-reactive antiviral antibodies improve the access of the virus to cells through interaction with specific receptors (complement receptors and Fc receptor on the cell surface), which leads to worsening of the infection. …”
Get full text

Data-driven thrust prediction in applied-field magnetoplasmadynamic thrusters for space missions using artificial intelligence-based models by Tarik Pinaffo Almeida, Shahin Alipour Bonab, Mohammad Yazdani-Asrami

“…Results indicate that the supervised ensemble algorithm, eXtreme Gradient Boosting (XGBoost), outperforms all other utilized techniques such as random forest, Gradient Boosting Regressor, support vector regression, kernel ridge regression, K-nearest neighbors, and Gaussian process regression. …”
Get full text

Clinical, radiological, and radiomics feature-based explainable machine learning models for prediction of neurological deterioration and 90-day outcomes in mild intracerebral hemor... by Weixiong Zeng, Jiaying Chen, Linling Shen, Genghong Xia, Jiahui Xie, Shuqiong Zheng, Zilong He, Limei Deng, Yaya Guo, Jingjing Yang, Yijun Lv, Genggeng Qin, Weiguo Chen, Jia Yin, Qiheng Wu

“…In the validation set, the support vector machine (SVM) models achieved an AUC of 0.846 (95% confidence intervals (CI), 0.627-1.000) and an F1-score of 0.667 for predicting ND, and an AUC of 0.970 (95% CI, 0.928-1.000), and an F1-score of 0.846 for predicting 90-day prognosis. …”
Get full text

Proposal for Using AI to Assess Clinical Data Integrity and Generate Metadata: Algorithm Development and Validation by Caroline Bönisch, Christian Schmidt, Dorothea Kesztyüs, Hans A Kestler, Tibor Kesztyüs

“…In addition, embedded in the process of integrating care data into a medical data integration center (MeDIC), metadata relevant to this clinical data was stored, considering factors such as data granularity and quality metrics. …”
Get full text

Single-Stage Entity–Relation Joint Extraction of Pesticide Registration Information Based on HT-BES Multi-Dimensional Labeling Strategy by Chenyang Dong, Shiyu Xi, Yinchao Che, Shufeng Xiong, Xinming Ma, Lei Xi, Shuping Xiong

“…Subsequently, we integrate semantic and syntactic features, enriching the character vector representations and thus improving the model’s ability to represent complex textual data. …”
Get full text

Reinforcement learning energy management control strategy of electric tractor based on condition identification by Liqiao Li, Jiangchun Chen, Jing Nie, Zongyu Gao

“…Firstly, the power demand of ET during driving is regarded as a Markov process. The historical driving data are used to construct the driving conditions of ET and obtain the Markov power state transfer probability matrix(MPSTPM) under different CI; Second, to minimize the energy consumption of lithium-titanate battery and supercapacitor hybrid power system(HPS), the power allocation strategy for ET under different CI is obtained by a Q-network RL algorithm; Finally, an learning vector quantization neural network(LVQNN) is used to identify the current ET driving CI through online and real-time, and the control system makes real-time power output decision through the current driving CI. …”
Get full text

A novel prediction of the PV system output current based on integration of optimized hyperparameters of multi-layer neural networks and polynomial regression models by Hussein Mohammed Ridha, Hashim Hizam, Seyedali Mirjalili, Mohammad Lutfi Othman, Mohammad Effendy Ya’acob, Noor Izzri Bin Abdul Wahab, Masoud Ahmadipour

Get full text

Effect of miR-200c on inducing autophagy and apoptosis of HT22 cells from mouse hippocampal neurons via regulating PRDM1 protein: a bioinformatics analysis by W. Wu, J. Fu, Q. Liu, Q. Wang, S. Gao, X. Deng, C. Shen

“…To reveal the changes in microRNA (miRNA) expression profile in the hippocampus of mice with deep hypothermic circulatory arrest (DHCA) through bioinformatics analysis. The Support Vector Machine (SVM) algorithm in the Weka software was used to process, model, and screen the available miRNA data. …”
Get full text

Pyoderma in dogs (classification, pathogenesis, main pathogens, treatment) by V. M. Bubnov, Ya. V. Kisera, Yu. V. Martyniv

“…The article describes the mechanisms of infection and possible favorable factors that are the key to this process. Issues of approach and treatment of pyoderma and complications related to it are highlighted. …”
Get full text