Lung cancer brain metastases – the role of neurosurgery by V. A. Aleshin, V. B. Karakhan, A. Kh. Bekyashev, D. M. Belov

“…Lung cancer is mostly common occurring oncological disease in the developed countries. Currently lung cancers are subdivided into nonsmall-cell (adenocarcinoma, large-cell, squamous cell) and small-cell. …”
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On the role of diagnosis of prostate diseases at the outpatient appointment of a therapist by A. L. Kebina, A. S. Sycheva, A. L. Vertkin, G. Yu. Knorring

“…Identification of symptoms suspicious of malignant neoplasms using algorithmic approaches and subsequent consultation with the patient by a specialist urologist or oncologist should improve treatment outcomes.…”
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Development of the Model of Diagnostics of Design-Technological Thinking in Secondary School Students in the Subject of Labor (Technology) in the Module “Robotics and Automated Sys... by Yakov M. Mashukov

“…The purpose of the study. Currently, there is a significant amount of research papers devoted to design and technological styles of thinking. …”
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Reproduction of reservoir pressure in oil field development: prospects and problems of using methods machine learning by I. N. Ponomarevа, D. A. Martyushev

“…Currently, models based on the application of artificial intelligence methods are actively developed and applied in solving a variety of problems, including in the practice of petroleum engineering. …”
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A detailed comparison of analysis processes for MCC-IMS data in disease classification-Automated methods can replace manual peak annotations. by Salome Horsch, Dominik Kopczynski, Elias Kuthe, Jörg Ingo Baumbach, Sven Rahmann, Jörg Rahnenführer

“…We determine which specific algorithmic combinations lead to high AUC values in disease classifications across the different medical application scenarios.…”
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A SYNTHESIS METHOD OF BASIC TERNARY BENT-SQUARES BASED ON THE TRIAD SHIFT OPERATOR by O. N. Zhdanov, A. V. Sokolov

“…In addition to the binary bent-functions researchers are currently focuses on the development of synthesis methods of their many-valued analogues. …”
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Learning from Octopuses: Cutting-Edge Developments and Future Directions by Jinjie Duan, Yuning Lei, Jie Fang, Qi Qi, Zhiming Zhan, Yuxiang Wu

“…Currently, there are more and more bionic soft robot technologies that draw on octopuses, and their application areas are constantly expanding. …”
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PEMFC Gas-Feeding Control: Critical Insights and Review by Shiyi Fang, Jianan Feng, Xinyu Fan, Daifen Chen, Cao Tan

“…Proton exchange membrane fuel cells (PEMFCs) are currently a relatively mature type of hydrogen energy device due to their high efficiency and low noise compared to traditional power devices. …”
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Pathogenesis and clinical significance of atrial fibrillation in myocardial infarction by M. V. Zykov, O. L. Barbarash

“…Currently, there is no information in novel clinical guidelines on the importance of active detection of atrial fibrillation (AF) in myocardial infarction (MI), as well as on the management of such patients. …”
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Electrocardiographic parameters and features of ventricular arrhythmias in various arrhythmogenic cardiomyopathy forms in the pediatric population: a systematic review and meta-ana... by D. Yu. Alekseeva, O. А. Kofeynikova, D. I. Marapov, E. S. Vasichkina

“…However, despite the multiparametric approach, there are certain limitations of the presented algorithms for disease establishment, especially in children. …”
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Preperimetric glaucoma by N. A. Bakunina, E. V. Openkova, I. V. Shaposhnikova, L. M. Gabdrakhmanov, A. V. Kuroyedov, А. V. Seleznev, H. Y. Zargaryan

“…Recently, much literature data is available on the issue of diagnosis of preperimetric glaucoma (PPG), but no recognized algorithms of detecting primary open-angle glaucoma (POAG) at this stage have been developed, and there is no general opinion as to what parameters and techniques should be used. …”
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Objective method of comparing DNA microarray image analysis systems by Edward L. Korn, Jens K. Habermann, Madhvi B. Upender, Thomas Ried, Lisa M. McShane

“…Image analysis systems currently in use differ with regard to the specific algorithms they implement, ease of use, and cost. …”
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Dependable identity recognition and authorization based on visual information by Chunlei PENG, Xinbo GAO, Nannan WANG, Jie LI

“…Recently,deep learning has been widely applied to video and image based identity recognition and authorization tasks,including face recognition and person identification.However,machine learning models,especially deep learning models,can be easily fooled by adversarial attacks,which may cause the identity recognition systems to make a wrong decision.Therefore,dependable identity recognition and authorization has become one of the hot topics currently.Recent advances on dependable identity recognition and authorization from both information space and physical space were presented,where the development of the attack models on face detection,face recognition,person re-identification,and face anti-spoofing as well as printable adversarial patches were introduced.The algorithms of visual identity anonymization and privacy protection were further discussed.Finally,the datasets,experimental protocols and performance of dependable identity recognition methods were summarized,and the possible directions in the future research were presented.…”
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Trends in Addiction to Psychoactive Substances Among Homeless People in Colombia Using Artificial Intelligence by Hugo Ordoñez, Ricardo Timarán-Pereira, Juan-Sebastián González-Sanabria

“…Introduction: Currently, homelessness should not be seen as just another problem, but as a reality of inequality and the absence of social justice. …”
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Reinforcement learning for vehicle-to-grid: A review by Hongbin Xie, Ge Song, Zhuoran Shi, Jingyuan Zhang, Zhenjia Lin, Qing Yu, Hongdi Fu, Xuan Song, Haoran Zhang

“…It also highlights the major challenges currently faced by reinforcement learning in the Vehicle-to-Grid domain and provides targeted directions for future research. …”
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Posttraumatic epilepsy: clinical, diagnostic and therapeutic features by N. E. Maslov, A. A. Litvinova, P. S. Kovalev, N. N. Maslova, N. V. Yuryeva, E. I. Khamtsova

“…It has been proved that no clear algorithms for PTE diagnostics and treatment are currently available, which often leads to insufficient patient care.…”
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Tofacitinib monotherapy as maintenance treatment in juvenile dermatomyositis: a case report by Enrique Calvo-Aranda, Delia Argüelles Balas, Estefanía Barral Mena, M Ángeles Martín Díaz

“…We present the case of a child with JDM who achieved sustained remission with tofacitinib monotherapy following the failure of previous therapies. While its use is currently restricted to refractory cases, these findings suggest its potential for earlier integration into treatment algorithms. …”
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EC-SBM synthetic network generator by The-Anh Vu-Le, Lahari Anne, George Chacko, Tandy Warnow

“…Abstract Generating high-quality synthetic networks with realistic community structure is vital to effectively evaluate community detection algorithms. In this study, we propose a new synthetic network generator called the Edge-Connected Stochastic Block Model (EC-SBM). …”
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Multi-Beam STAR MIMO Using Differential Arrays by Yinyi Zhao, Satheesh Bojja Venkatakrishnan, Constantinos L. Zekios, Soumyajit Mandal, Arjuna Madanayake

“…However, for the successful realization of STAR, we need to overcome a major bottleneck in suppressing the self-interference from the transmitter onto the colocated receiver. Currently, mitigating this interference requires complex hardware and advanced algorithms when employing an array for applications such as multiple input, multiple output (MIMO), and beamforming. …”
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University proceedings. Volga region. Technical sciences by V.I. Volchikhin, A.I. Ivanov, A.V. Bezyaev, I.A. Filipov

“…Background. Currently, single-layer networks of artificial neurons are used, which are equivalent to classical statistical criteria. …”