Road Traffic Safety in the Baltic States by Aldis Lama, Juris Smirnovs, Juris Naudžuns

“…The road traffic safety problem in all the Baltic States is still of a high priority in spite of some progress in recent years. …”
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DMSU-Net++: A dual multiscale retinal vessel segmentation method based on improved U-Net+. by Liu Ming, Li Qi

“…The method innovatively introduces a multiscale feature extraction module WTSAFM, which realises multiscale feature extraction via wavelet transform, and can capture image information of different frequencies more effectively while enhancing global context understanding. …”
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Research on Grounding Fault Identification Method of DC 600 V Power Supply System Based on Random Forest by Zhou ZENG, Zixian LI, Wei DONG, Jian GUO, Jie CAI

“…In order to solve the problem that the current DC 600 V power supply system can only diagnose a few of fault modes and has poor universality, a simulation model of DC 600 V power supply system was built, and various fault modes of power supply system were analyzed, such as input terminal, intermediate circuit, output terminal grounding, etc.; The key features of fault waveform were selected and extracted, then the random forest classifier method was used to solve the problem that the existing diagnosis methods were not universal. …”
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Vibrations of an Elastic Half-Space by Bogdan Felix Apostol

“…We report on the resolution of the vibration problem for a homogeneous and isotropic elastic half-space (the Lamb problem), with application to the seismic tensorial force. …”
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Application of DBN deep learning algorithm in anti stealing electricity system by Dandan LI, Bingyu GE, Wenwen HUANG, Lei XIE, Shengqi QIAN

“…With the development of economy,the electric power demand increases gradually,but because of the relative backwardness in the automation of electricity,the phenomenon of electric stealing is common.But the traditional anti electric stealing means generally centered around how to strengthen the technical transformation of the electric energy metering device,and the management efficiency is low.The purpose of deep learning is to use the method of constructing the multi-layer neural network model.To learn the potential features of image,text,voice and other data,it also has good effect on the classification problem.The successful application of the deep learning algorithm in many complex fields provides a new effective way to solve the problem of anti stealing electricity.The structure and learning algorithm of DBN and the anti-stealing model based on DBN algorithm was mainly introduced.Finally,experiments were carried out and the results were analyzed.…”
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Artificial Neural Networks Based Decision Support System for the Detection of Diabetic Retinopathy by Zehra Karapınar Şentürk

“…Artificial Neural Networks (ANN) method has been applied to the problem using Rapid Miner, a data mining tool. Some other methods have also adapted to the problem, but ANN based detection approach gave the best results. 88.52% sensitivity has been obtained using the features of Messidor dataset. …”
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Possible Ways to Overcome Antibiotic Resistance of Nosocomial Pathogens Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, Stenotrophomonas maltophilia by N. N. Markelova, E. F. Semenova

“…New approaches and antibacterial agents, alternative to antibiotics, which help solve the problem of overcoming antibiotic resistance of gram-negative bacteria are described.…”
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NEW FORMULATIONS OF HYDROCORTISONE-17-BUTYRATE IN THE ARSENAL OF MEANS FOR TOPICAL TREATMENT OF ATOPIC DERMATITIS IN CHILDREN by N. G. Korotkii, B. N. Gamayunov

“…Topical therapy of atopic dermatitis in children is a complex and multifactorial problem. Irrational choice of means of treatment may lead to the deterioration of the child, cause complications of dermatosis, promote the development of «atopic march». …”
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Eurasian Union: Instruments of Management and Integration by Yu. V. Sablina

“…The aim of the study: to study the features of management tools and integration of the EAEU at the present stage of its existence. …”
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International Financial Reporting Standards versus homo sovieticus and attitudes of Polish accountants by Katarzyna Tobór-Osadnik, Małgorzata Wyganowska, Przemysław Kabalski

“…This problem is dealt with in the light of the so called homo sovieticus syndrome. …”
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Time Series Determinism Recognition by LSTM Model by Janusz Miśkiewicz, Paweł Witkowicz

“…The problem of time series determinism measurement is investigated. …”
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Anthrax does not forgive mistakes: the information assessment following the yamal peninsula outbreak in the summer of 2016 by I. V. Shestakova

“…For the first time in a long time period the sources of actual information about anthrax in Russia and in the world are systematized. The essence of the problem, features of epidemiology and clinical manifestations of the current forms of anthrax disease are analyzed. …”
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International Law Regulation of Technology Transfer of the Age of Globalization: State and Perspectives by M. V. Shugurov

“…The goal of this article is formulation the problem submission of international technology transfer to achievement MDGs. …”
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Lesions of the nervous system in herpesvirus infections by S. N. Eshmolov, E. G. Klimovitskaya, M. N. Kuzmina, I. G. Sitnikov

“…The analysis of the main clinical and laboratory indicators was carried out and the features of the course of lesions of the nervous system in herpesvirus infections were established.…”
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Review of the monograph by Sergey N. Baburin “The integration constitutionalism” (Moscow, 2020) by A. N. Kostyukov, I. A. Tretyak

“…The monograph is based on serious analysis of the legal, sociological, historical and teleological features of integration processes and their root causes. …”
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Information and digital literacy as a component of professional culture by G. Grevtseva, T. Mokovaya

“…The article reveals the relevance of information and digital literacy, highlights the main directions of the problem under study, external and internal factors in the organization of the educational environment of the university. …”
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A rare coexistence of two gastric outlet obstructive lesions: infantile hypertrophic pyloric stenosis and organoaxial gastric volvulus by P Oğuzkurt, M E Senocak, A Hiçsönmez

“…The common features of presentation, radiological findings, surgical procedures and possible mechanisms of gastric volvulus associated with infantile pyloric stenosis are discussed. …”
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COMPREHENSIVE METHODOLOGY FOR TRANSLATION ANALYSIS OF CROSS-CULTURAL INCONGRUITY IN ENGLISH ANECDOTES by Oleksandr S. Sodel

“…The article substantiates the problem of performing translation analysis of cross-cultural incongruity in English anecdotes in Ukrainian translation using the methodology consisting of four methodological blocks (qualification, linguocultural, linguistic, and translation ones). …”
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MHOE-DETR: A Ship Detection Method for Small and Fuzzy Targets Based on Satellite Remote Sensing Image Data by Zhuhua Hu, Xiyu Fan, Yaochi Zhao, Wei Wu, Jie Liu

“…The network groups and processes input features in parallel, integrating both low-dimensional and high-dimensional features to alleviate the information bottleneck problem. …”
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TCN-LSTM-MHSA model optimized by improved slime mould algorithm for stress prediction of roadway anchor bolts (cables) by QI Junyan, CHE Yuhao, WANG Lei, YUAN Ruifu

“…However, traditional single prediction models have limited capability in modeling long-term trends and insufficient sensitivity to local fluctuations, often making it difficult to fully capture these complex features. To address this problem, an anchor bolt (cable) stress prediction model based on an Improved Slime Mould Algorithm (ISMA) optimized Temporal Convolutional Network (TCN)-Long Short-Term Memory (LSTM)-Multi-Head Self-Attention (MHSA) architecture is proposed. …”
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