CURRENT POSSIBILITIES OF RADIATION DIAGNOSIS OF PROSTATE CANCER by F. A. Kossov, B. P. Olimov, G. I. Akhverdieva, B. Sh. Kamolov, I. I. Abdullin, V. O. Panov, E. V. Tarachkova, I. E. Tyurin, Yu. V. Buydenok

“…The paper discusses their sensitivity and specificity and the role and relationship in the diagnostic process. It also gives current unified mpMRI reporting and data system version 2 (RADSv.2). …”
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Home Browse Journal Info Editorial Board Publication Ethics First online Publishing Creative Commons License Guide for Authors Submit Manuscript Reviewers Contact Us Mor... by Manjush E., Sathish Kumar R

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LLM GPT-3.5 study for sentiment analysis across Utkarsh server, Ohio supercomputer, Google Colab and PC by Lavanya B N, Anitha Rathnam K V, Abhishek Appaji, Kiran K, P. Deepa Shenoy, Venugopal K R

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Optimization and calibration of 384-well kinetic Ca2+ mobilization assays for the human transient receptor potential cation channels TRPM8, TRPV1, and TRPA1 by David A. Close, V. Blair Journigan, Paul A. Johnston

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RESEARCH OF TECHNICAL DATA MANAGEMENT AUTOMATION METHODS FOR DESIGN-ENGINEERING PREPARATION OF PRODUCTION AT LOW-VOLUME AND SERIES PRODUCTION ENTERPRISES by Sergey Aleksandrovich Sidorenko, Mikhail Aleksandrovich Vlasenko

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Mathematical model of errors in measuring the interframe displacement of a measuring mark on an observation object using video from a WEB camera by O.Ye. Gorshenin, M.O. Gorshenin

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Mathematical modeling of donor liver cooling during hypothermic perfusion by A. V. Bukharov, A. F. Ginevsky, I. S. Seregin, B. I. Yaremin, E. Yu. Anosova, B. I. Kazymov, M. S. Novruzbekov

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Application of robotic technology in surgery (literature review) by D. G. Parfeev, A. M. Morozov, K. I. Khorak, P. G. Kogan, S. V. Zhukov, A. D. Aminova, V. A. Zhezheleva

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ADVANCED SCHEDULER FOR COOPERATIVE EXECUTION OF THREADS ON MULTI-CORE SYSTEM by O. N. Karasik, A. A. Prihozhy

Subjects: “…three architectures of the cooperative thread scheduler in a multithreaded application that is executed on a multi-core system are considered. architecture a0 is based on the synchronization and scheduling facilities, which are provided by the operating system. architecture a1 introduces a new synchronization primitive and a single queue of the blocked threads in the scheduler, which reduces the interaction activity between the threads and operating system, and significantly speed up the processes of blocking and unblocking the threads. architecture a2 replaces the single queue of blocked threads with dedicated queues, one for each of the synchronizing primitives, extends the number of internal states of the primitive, reduces the inter- dependence of the scheduling threads, and further significantly speeds up the processes of blocking and unblocking the threads. all scheduler architectures are implemented on windows operating systems and based on the user mode scheduling. important experimental results are obtained for multithreaded applications that implement two blocked parallel algorithms of solving the linear algebraic equation systems by the gaussian elimination. the algorithms differ in the way of the data distribution among threads and by the thread synchronization models. the number of threads varied from 32 to 7936. architecture a1 shows the acceleration of up to 8.65% and the architecture a2 shows the acceleration of up to 11.98% compared to a0 architecture for the blocked parallel algorithms computing the triangular form and performing the back substitution. on the back substitution stage of the algorithms, architecture a1 gives the acceleration of up to 125%, and architecture a2 gives the acceleration of up to 413% compared to architecture a0. the experiments clearly show that the proposed architectures, a1 and a2 outperform a0 depending on the number of thread blocking and unblocking operations, which happen during the execution of multi-threaded applications. the conducted computational experiments demonstrate the improvement of parameters of multithreaded applications on a heterogeneous multi-core system due the proposed advanced versions of the thread scheduler.…”
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THE CONSTRUCTIVE AND SPACE-PLANNING DECISIONS OF BUILDING WATER PUMPING STATIONS by Alina Olegovna Tsvetkova

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Possibilities of using artificial intelligence technologies in the morphological diagnosis of inflammatory bowel diseases (literature review) by E. G. Churilova, A. B. Kazumova, Kh. M. Akhrieva, N. V. Pachuasvili, A. S. Tertychnyy

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ENHANCING STATE POLICY EFFECTIVENESS IN CINEMA THROUGH MACHINE LEARNING / Повышение эффективности государственной политики в сфере кинематографа с помощью машинного обучения... by DOZHDIKOV ANTON V. / ДОЖДИКОВ А.В.

“…The study utilized the ensemble machine learning model HistGradientBoostingClassifier and a sequential fully connected three-layer neural network based on the TensorFlow library, along with basic methods of natural language processing. It was found that patriotic films exhibit distribution characteristics lower than the market average and significantly lag behind successful Russian cinema projects at the box office. …”
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Blockchain Technology in Supply Chain Management Prospects and Challenges for Implementation by Peshattiwar Atish, P Mohanraj, A Anand Gerald, S Dharmalingam, Tiwari Mohit, G Swarnalakshmi

“…The outcome indicates the comparative analysis demonstrating the improvement– a 40% reduction in latency, a 30% decrease in computational costs, and a 50% higher transaction processing speed compared to the existing blockchain technologies with respect to hybrid blockchain model. …”
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Spatio-temporal variations of drought in the Welmel watershed, southeast of Ethiopia using the vegetation condition index and standardized precipitation index by Tesfaye Bogale, Sileshi Degefa, Gemedo Dalle, Gebeyehu Abebe

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Training Sample Selection Based on SAR Images Quality Evaluation With Multi-Indicators Fusion by Pengcheng Wang, Huanyu Liu, Junbao Li

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Enhancing Industrial Wireless Communication Security Using Deep Learning Architecture-Based Channel Frequency Response by Lamia Alhoraibi, Daniyal Alghazzawi, Reemah Alhebshi, Liqaa F. Nawaf, Fiona Carroll

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A comprehensive construction of deep neural network‐based encoder–decoder framework for automatic image captioning systems by Md Mijanur Rahman, Ashik Uzzaman, Sadia Islam Sami, Fatema Khatun, Md Al‐Amin Bhuiyan

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A review on beef cattle supplementation technologies by Guilherme Defalque, Ricardo Santos, Marcio Pache, Cristiane Defalque

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The Ubimus Plugging Framework: Deploying FPGA-Based Prototypes for Ubiquitous Music Hardware Design by Damián Keller, Aman Jagwani, Victor Lazzarini

“…Furthermore, current FPGA system-on-chip (SoC) hardware with an associated onboard general-purpose processor may foster the development of flexible platforms for musical signal processing. …”
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High-resolution global modeling of wheat’s water footprint using a machine learning ensemble approach by Murat Emeç, Abdullah Muratoğlu, Muhammed Sungur Demir

“…Machine learning (ML) methods offer advantages through their ability to process complex data relationships efficiently while maintaining high prediction accuracy. …”
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