Influence of the Digital Filter Transient Characteristic on the Behavior of Microprocessor Current Protection by F. A. Romaniuk, Yu. V. Rumiantsev, V. Yu. Rumiantsev, A. A. Dziaruhina

“…The effect of these filters on the behavior of a micro-processor current protection containing the main high-speed and backup slow-acting stages has been investigated. As a result of the mentioned investigations, it has been shown that digital filters with a monotonous transient characteristic provide stable functioning and selective action of protection steps in case of damage in the main and adjacent sections. …”
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The Sloping Mire Soil-Landscape of Southern Ecuador: Influence of Predictor Resolution and Model Tuning on Random Forest Predictions by Mareike Ließ, Martin Hitziger, Bernd Huwe

“…Position specific density functions of the predicted soil parameters were then used to display prediction uncertainty. …”
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Machine learning-based MRI radiomics predict IL18 expression and overall survival of low-grade glioma patients by Zhe Zhang, Yao Xiao, Jun Liu, Feng Xiao, Jie Zeng, Hong Zhu, Wei Tu, Hua Guo

“…Abstract Interleukin-18 has broad immune regulatory functions. Genomic data and enhanced Magnetic Resonance Imaging data related to LGG patients were downloaded from The Cancer Genome Atlas and Cancer Imaging Archive, and the constructed model was externally validated using hospital MRI enhanced images and clinical pathological features. …”
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SVM-RFE Based Feature Selection and Taguchi Parameters Optimization for Multiclass SVM Classifier by Mei-Ling Huang, Yung-Hsiang Hung, W. M. Lee, R. K. Li, Bo-Ru Jiang

“…However, SVM only functions well on two-group classification problems. …”
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Identification of multiple power quality disturbances in hybrid microgrid using deep stacked auto-encoder based bi-directional LSTM classifier by Ravi Kumar Jalli, Lipsa Priyadarshini, P.K. Dash, Ranjeeta Bisoi

“…Thus to design an effective PQD recognition system, this paper proposes a novel time-frequency analysis method based on adaptively fast complementary ensemble local mean decomposition (AFCELMD) technique that decomposes the multicomponent PQD signal into a series of demodulated product functions (PFs). Out of the several PFs the most sensitive one is selected adaptively and used for feature extraction and classification through a deep stacked auto-encoder (dSAE) hybridized with a time-recursive bi-directional long short term memory (BiLSTM) network classifier. …”
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Human oversight of artificial intelligence: An operations management perspective by Jesús Salgado-Criado

“…The theoretical framework clarifies the recursive nature of oversight within organizational control loops. …”
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Dynamically Changing Parallelism with the Asynchronous Sequential Data Flows by Alexander I. Legalov, Ivan V. Matkovskii, Mariya S. Ushakova, Darya S. Romanova

“…We provide the sample functions to illustrate the use of the different approaches to description of the parallelism: recursive processing of the asynchronous flows, processing of the flows in an arbitrary or predefined order of operations, direct access and access by the reference to the elements of the streams and swarms, pipelining of calculations. …”
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CCL26 as a prognostic biomarker in hepatocellular carcinoma: integrating bioinformatics analysis, clinical validation, and radiomics score by Junjun Yan, Qiangming Liao, Yong Xie, Sihai Chen

“…Abstract Background CCL26 has been identified as a potential prognostic biomarker in hepatocellular carcinoma (HCC). …”
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Elucidating the role of KCTD10 in coronary atherosclerosis: Harnessing bioinformatics and machine learning to advance understanding by Xiaomei Hu, Fanqi Liang, Man Zheng, Juying Xie, Shanxi Wang

“…KCTD10, a protein implicated in a variety of biological processes, has garnered significant attention for its role in cardiovascular diseases and metabolic regulation. …”
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Fatigue and Distracted Driving Recognition Method Based on Multimodal Information Fusion by Deyong Guan, Qi Wang, Ke Wang, Xinyu Song

“…This method takes into account various impaired driving states and provides a non-invasive, robust, and real-time approach, which has practical significance.…”
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RESULTS OF RADIOSURGICAL AND DRUG TREATMENT OF PATIENTS WITH BRAIN METASTASES by S. M. Banov, A. V. Golanov, S. R. Ilyalov, E. R. Vetlova, S. A. Maryashev, D. R. Naskhletashvili, I. K. Osinov, V. V. Kostuchenko, A. A. Durgaryan

“…Survival without distant metastases at 12 and 24 months was 41.5 and 20.9 %, respectively. Multifactor analysis has shown that prognostic factors for long-term survival in patients with brain metastases were presence of breast cancer metastases in the brain, limited (4 lesions or less) number of brain metastases, high functional status, and absence of extracranial metastases. …”
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Quasi-Analytical Least-Squares Generative Adversarial Networks: Further 1-D Results and Extension to Two Data Dimensions by Graham W. Pulford

“…Visualisation strategies are given for the cost function and parameter trajectories during training. …”
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Upper Bounds for Chebyshev Permutation Arrays by Sergey Bereg, Zevi Miller, Ivan Hal Sudborough

“…Let <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>P</mi><mo>(</mo><mi>n</mi><mo>,</mo><mi>d</mi><mo>)</mo></mrow></semantics></math></inline-formula> denote the maximum size of any <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>(</mo><mi>n</mi><mo>,</mo><mi>d</mi><mo>)</mo></mrow></semantics></math></inline-formula>-PA. The function <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>P</mi><mo>(</mo><mi>n</mi><mo>,</mo><mi>d</mi><mo>)</mo></mrow></semantics></math></inline-formula> has been the subject of previous research. …”
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Higher-spin currents and flows in auxiliary field sigma models by Daniele Bielli, Christian Ferko, Michele Galli, Gabriele Tartaglino-Mazzucchelli

“…Part of our analysis shows that the class of AF deformations can be extended by allowing the interaction function to depend on a larger set of variables than has previously been considered.…”
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Integrated analysis of WGCNA and machine learning identified diagnostic biomarkers in trauma-induced coagulopathy by Qingsong Chen, Tao Li, Tao Zhang, Yue Zhou, Weifeng Huang, Hui Li, Li Shi, Jianxiao Li, Qi Zhang, Man Ma, Pan Wang, Hui Hu, Gongbin Wei, Jiangxia Xiang, Yuan Cheng, Jun Yang, Guangbin Huang, Yongming Li, Dingyuan Du

“…Functional analysis of genes and immunoinfiltration analysis were also conducted. …”
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From “Text-Book” to “Text-Life”: Racine in “Fils” (“Son / Threads”) by Serge Doubrovsky and “Titus Did not Love Berenice” by Nathalie Azoulai by Veronika D. Altashina

“…Fictional immersion, according to J.-M. Schaeffer has a modeling function, offering a scenario of actions that can be productively used in real life.…”
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The integrable Bullough-Dodd model under celestial holography by Minjia Wang, Wei Fan

“…This clean structure replaces the complicated integration with simple algebra of elementary functions, and the celestial bootstrap reduces to a programmable recursion process of simple algebra. …”
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The impacts of public expenditure innovations on real effective exchange rate volatility in South Africa by Naser Yenus Nuru, Hayelom Yrgaw Gereziher

“…To achieve this objective, a vector autoregressive impulse response model variant, proposed by Jordà, is employed, with innovations identified recursively. The impulse response functions reveal that public expenditure innovation has a decreasing but insignificant impact on exchange rate volatility, and its impact depends on the type of fiscal expenditure innovation. …”
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Scalable and accurate simulation of electrolyte solutions with quantum chemical accuracy by Junji Zhang, Joshua Pagotto, Tim Gould, Timothy T Duignan

“…Electrolyte solutions play critical role in a vast range of important applications, yet an accurate and scalable method of predicting their properties without fitting to experiment has remained out of reach, despite over a century of effort. …”
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