Аlgorithm of fast computation of local image histograms on video card1 by Ph. S. Trotski, B. A. Zalesky

“…Now local histograms are used for solution of some tasks of image processing and recognition, but their application is restricted due to the long computational time. …”
Get full text

Multi-dimensional secure query scheme for fog-enhanced IIoT by Yousheng ZHOU, Chang TAN, Fei TANG

“…In view of the fact that most of the existing range query schemes for fog-enhanced IoT cannot achieve both multi-dimensional query and privacy protection,a privacy-preserving multi-dimensional secure query scheme for fog-enhanced IIoT was proposed.Firstly,the multiple ranges to be queried were mapped into a certain query matrix.Then,auxiliary vectors were constructed to decompose the query matrix,and then the auxiliary vector was processed by BGN homomorphic encryption to form a query trapdoor.Finally,with the homomorphic computation utilized by an IoT device terminal,the query trapdoor could be matched to its sensor data.Spatial complexity could be effectively reduced with the used specific auxiliary vectors.The confidentiality of sensor data could be ensured and the privacy of user’s query mode could be protected by the homomorphic encryption property.Experiments results show that the computational and communication costs are relatively low.…”
Get full text

New method of text representation model based on neural network by Shui-fei ZENG, Xiao-yan ZHANG, Xiao-feng DU, Tian-bo LU

“…Method of text representation model was proposed to extract word-embedding from text feature.Firstly,the word-embedding of the dual word-embedding list based on dictionary index and the corresponding part of speech index was created.Then,feature vectors was obtained further from these extracted word-embeddings by using Bi-LSTM recurrent neural network.Finally,the sentence vectors were processed by mean-pooling layer and text categorization was classified by softmax layer.The training effects and extraction performance of the combination model of Bi-LSTM and double word-embedding neural network were verified.The experimental results show that this model not only performs well in dealing with the high-quality text feature vector and the expression sequence,but also significantly outperforms other three kinds of neural networks,which includes LSTM,LSTM+context window and Bi-LSTM.…”
Get full text

MUNICIPAL-PRIVATE PARTNERSHIP – A MECHANISM FOR THE DEVELOPMENT OF MUNICIPAL OUTPATIENT UROLOGY by A. R. Gevorkyan

“…Methodical approaches to the formation of the outpatient center of urology with the mechanisms of the mixed economy, developing business processes involving private investor resources in the reproduction processes and increasing the efficiency of the municipal system of outpatient urological care are outlined.Conclusions. …”
Get full text

Regionalização dos Expressivos Não-Morfológicos dos Estados de Alagoas e Sergipe, Brasil by Ajibola Isau Badiru, Nubia Dias dos Santos

“…The objective was to map the evolution of the rationalized sociological limits to analyze the evolution of state boundaries and processes. The emergence of the States of Alagoas and Sergipe is crossed at different scales along the São Francisco River and is translated as a set of territorial patterns characterized by points, lines and structuring polygons of territorialization determined by the state network. …”
Get full text

Improving the trial efficiency of criminal cases with the assistance of artificial intelligence by Qingxia Chen

“…Using a dataset consisting of 500 criminal case records, including minor, ordinary, and complex cases, we applied machine learning (ML) and natural language processing (NLP) techniques to predict trial outcomes, reduce processing time, and improve judgment accuracy. …”
Get full text

Strategies for Maintaining Balance in Patients with Parkinson’s Disease by A. E. Slotina, Ekaterina S. Ikonnikova, Georgii A. Kotsoev, Alena S. Egunova, Uliana V. Panina, Ekaterina Yu. Fedotova, Elena V. Gnedovskaya, Natalia A. Suponeva

“…Promising advances in posture and gait screening using digital image processing require a thorough understanding of fundamental balance maintenance strategies. …”
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

“…RABV particle with self-fluorescent is a powerful viral model to visualize the viral infection process in cells. Herein, based on a reverse genetic system of the Evelyn-Rokitnicki-Abelseth (rERA) strain, we generated a recombinant RABV rERA-N/mCherry strain that stably expresses an additional ERA nucleoprotein that fuses with the red fluorescent protein mCherry (N/mCherry). …”
Get full text

Hypothesis of regeneration by 'anticipation' in the cities of Ouagadougou and Lomé by Patrick Thépot

“…The studies carried out within the Master’s programme Aedification – Grands Territoires – Villes of the École Nationale Supérieure d’Architecture de Grenoble for the cities of Ouagadougou and Lomé, each in their own way, question the dynamic processes of the architecture project as vectors of transformations in relation to space and time. …”
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

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

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

“…Additionally, we incorporated the Shapley Additive Explanation (SHAP) method to display key features and visualize the decision-making process of the model for each individual. Results A total of 21 (14.2%) mild ICH patients developed ND, and 35 (24.3%) mild ICH patients had a 90-day poor prognosis. …”
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

Stratified allocation method for water injection based on machine learning: A case study of the Bohai A oil and gas field by Changlong Liu, Pingli Liu, Qiang Wang, Lu Zhang, Zechao Huang, Yuande Xu, Shaojiu Jiang, Le Zhang, Changxiao Cao

“…The oil and gas field has now entered the high water-cut stage, and in it, ineffective water circulation has intensified. Meanwhile, the process of adjusting the injection volume of water injection wells is overly complicated and relies on the experience of reservoir engineers. …”
Get full text

Construction of a Wilms tumor risk model based on machine learning and identification of cuproptosis-related clusters by Jingru Huang, Yong Li, Xiaotan Pan, Jixiu Wei, Qiongqian Xu, Yin Zheng, Peng Chen, Jiabo Chen

“…Enrichment analysis results indicated that genes in cluster 2 were primarily involved in cell division, nuclear division regulation, DNA biosynthesis process, ubiquitin-mediated proteolysis. The SVM model was judged to be the optimal model using 5 genes. …”
Get full text

An open dataset and machine learning algorithms for Niacin Skin-Flushing Response based screening of psychiatric disorders by Xuening Lyu, Rimsa Goperma, Dandan Wang, Chunling Wan, Liang Zhao

“…Subsequently, a Support Vector Machine (SVM) method is employed for psychiatric disorder classification utilizing feature vectors extracted from the segmentation of NSR areas with a 3-scale quantization. …”
Get full text

Accurate prediction of mediolateral episiotomy risk during labor: development and verification of an artificial intelligence model by Tingting Hu, Liheng Zhao, Xueling Zhao, Lin He, Xiaoli Zhong, Zhe Yin, Junjie Chen, Yanting Han, Ka Li

“…The clinical external verification process focused on data collected from January to March 2023, and an intelligent online evaluation system for mediolateral episiotomy was developed. …”
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

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