ABOUT COMPLEX APPROACH TO MODELLING OF TECHNOLOGICAL MACHINES FUNCTIONING by A. A. Honcharov

“…The paper describes a conception on realization of a complex model for a technological machine as a model for interaction of units (elements) in the controlling device and the controlled object. When a control activation is given to the controlling device of the technological machine its modelling is executed at an algorithmic or logic level and the obtained output signals are interpreted as events and information about them is transferred to executive mechanisms.The proposed scheme of aggregate integration considers element models as object classes and the integration scheme is presented as a combination of object property values (combination of a great many input and output contacts) and combination of object interactions (in the form of an integration operator). …”
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Public database analysis of VSIG4 expression and immune mechanism in colorectal cancer by Li Hui, Wen Jiaying, Tang Yuxing, Huang Zhiguang

“…Subsequently, the CIBERSORT algorithm was used to analyzed relationship between VSIG4 and immune cell infiltration, and the impact of VSIG4 expression on the prognosis of CRC patients was further discussed. …”
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A Clinical Case of Two-Stage Visual-Functional Rehabilitation of a Patient with Postinfectious Central Corneal Opacity in Combination with Mixed Astigmatism Using Laser Keratorefra... by N. V. Maychuk, I. A. Mushkova, M. R. Obraztsova

“…To determine the activity of herpetic infection, PCR diagnostics were performed. …”
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Solar Flare Prediction Using Long Short-term Memory (LSTM) and Decomposition-LSTM with Sliding Window Pattern Recognition by Zeinab Hassani, Davud Mohammadpur, Hossein Safari

“…Regularization reduces complexity, enhances large flare activity, and captures active days more effectively. …”
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Development and Validation of the Promising PPAR Signaling Pathway-Based Prognostic Prediction Model in Uterine Cervical Cancer by Yan Zhang, Xing Li, Jun Zhang, Lin Mao, Zou Wen, Mingliang Cao, Xuefeng Mu

“…A ligand-activated transcription factor, peroxisome proliferator-activated receptor (PPAR) regulates fatty acid uptake and transport. …”
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Mining hypertension predictors using decision tree: Baseline data of Kharameh cohort study by abbas Rezaianzadeh, Samane Nematolahi, maryam jalali, Shayan Rezaeianzadeh, Masoumeh Ghoddusi Johari, Seyed Vahid Hosseini

“…In the first model (model I), 15 variables including age, gender, body mass index, years of education, Occupation status, marital status, family history of hypertension, physical activity, total energy, number of meals, salt, oil type, drug use, alcohol use and smoke entered in to the model. in the second model (model II) 16 variables including age, gender, BMI and Blood factors as HCT, MCHC, PLT, FBS, BUN, CERAT, TG, CHOL, ALP, HDL, GGT, LDL and SG were considered. a receiver operating characteristic (ROC) curve was applied to assess the validation of the models. …”
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Training multi-layer binary neural networks with random local binary error signals by Luca Colombo, Fabrizio Pittorino, Manuel Roveri

“…Binary neural networks (BNNs) significantly reduce computational complexity and memory usage in machine and deep learning by representing weights and activations with just one bit. However, most existing training algorithms for BNNs rely on quantization-aware floating-point stochastic gradient descent (SGD), limiting the full exploitation of binary operations to the inference phase only. …”
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Identification of biomarkers for Laryngeal squamous cell carcinoma through Mendelian randomization and integrated bioinformatics analysis by Pengjian Zhang, Weizhang Chen, Kai Chen, Yuanhang Ye, Weijun Wu

“…A prognostic model was constructed based on nine key genes (DNAJC3, FUNDC1, GATA3, NLRP3, PMAIP1, TGFB2, TIMP1, TIMP2, and TNFRSF1B) using the Lasso–Cox method, and its predictive accuracy was evaluated by Kaplan–Meier (KM) analysis and receiver operating characteristic (ROC) curves. The differences in immune landscapes between high-risk and low-risk groups were assessed using the CIBERSORT algorithm, and drug sensitivity was analyzed using the “oncoPredict” package. …”
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ONE TYPICAL EXTREMUM IN ELECTRICAL PROBLEMS by V. I. Goroshko, T. E. Shukovskaya

“…In the third example the band active filter, built on operating amplifier, is analyzed. …”
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Research on the application of deep learning based video recognition for power plant leakage and dripping by Zhang Yuan, Si Yuan

“…Then, by combining semantic segmentation, data augmentation, attention mechanisms, and changing activation functions with convolutional neural networks, the YOLOv5 algorithm is deeply optimized, including improvements in training strategies and model evaluation adjustments. …”
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Diagnostics of progression of liver fibrosis in patients with non-alcoholic steatohepatitis combined with obesity and chronic calculous cholecystitis. by A. Yu. Filippova

“…Liver biopsy was performed intra-operatively on performing surgical treatment of calculus cholecystitis. …”
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A Feature-Selective Independent Component Analysis Method for Functional MRI by Yi-Ou Li, Tülay Adali, Vince D. Calhoun

“…We also compare the task-related sources estimated from true fMRI data by a feature-selective ICA algorithm versus an ICA algorithm and show evidence that the feature-selective scheme helps improve the estimation of the sources in both spatial activation patterns and the time courses.…”
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Machine learning-based construction of Immunogenic cell death-related score for improving prognosis and personalized treatment in glioma by Guoyin Li, Yukui Zhao, Yubo He, Zhaoqiang Qian, Yiwen Liu, Xiaoyan Li, Lili Li, Zhiqiang Liu

“…Abstract Immunogenic cell death (ICD) is capable of activating both innate and adaptive immune responses. …”
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STRATEGIC MANAGEMENT TECHNICAL SERVICE OF AUTOENTERPRISE ON THE BASIS OF KEY AIMS by Vladimir Trubitsyn

“…Taken approach division of fulfiling the summary strategic plan and operative activity…”
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The financial security management model in second-tier banks by A. Z. Nurmagambetova, S. Z. Nurmagambetov, A. G. Mukusheva

“…Aim of the research is to propose and test a model of financial security management in second-tier banks in Kazakhstan, based on a combination of clustering models and recursive least squares, which allows for three-level processing of incoming information in banks in order to identify hidden data that pose a financial threat to the activities of second-tier banks. The research methodology is based on a combination of APC-III clustering algorithm models and the recursive least squares (RLS) method, with the algorithm slightly modified in accordance with the OECD recommendations. …”
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Real-time congestion control using cascaded LSTM deep neural networks for deregulated power markets by G. Madhu Mohan, T. Anil Kumar, A. Srujana, Yasser Fouad, Alexey Mikhaylov, Nora Baranyai, Kitmo, Ch. Rami Reddy

“…The proposed CM system consists of three cascaded long short-term memory (LSTM) DNNs that operate sequentially. These LSTM modules predict congestion status, violated power, and adjusted active power for rescheduling generation. …”
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Robust Allocation of FACTS Devices in Coordinated Transmission and Generation Expansion Planning considering Renewable Resources and Demand Response Programs by Sara Mahmoudi Rashid, Ehsan Akbari, Farshad Khalafian, Mohmmad Hossein Atazadegan, Saeid Shahmoradi, Abbas Zare Ghaleh Seyyedi

“…As a main search algorithm, a hybrid combination of water cycle algorithm (WCA) and ant lion optimization (ALO) is proposed to find the optimum solution with a small standard deviation. …”
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Improvement of Assemble-to-Order Model Processes With Process Mining: Dynamic Analysis and Hybrid Approaches by Ufuk Celik, Yuksel Yurtay

“…By combining direct flow graphs, inductive visual miner, and state chart workflows with a recursive algorithm, the proposed hybrid methodology identifies bottlenecks with repetitive works, analyzes variant impacts, and uncovers non-value-added activities. …”
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The use of digital technologies to automate processes in leasing companies by R. M. Albagachiev

“…The article is devoted to the topic of using digital technologies to automate processes in organizations engaged in leasing activities. The relevance is due to the increasing need to improve the efficiency and competitiveness of leasing companies in the digital economy. …”
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Cluster-based Sleep Scheduling Protocol for Mobile Wireless Sensors Network by Omnia Mezghani, Mahmoud Mezghani

“…The proposed approach ranges from sensors deployment, their organization to their operational mode. Experimental results demonstrate that the proposed cluster-based scheduling algorithm, based on the perimeter coverage of sensors, provides higher energy efficiency and longer lifetime coverage for MWSNs as compared to other protocols.…”
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