Search Results - "algorithm"

USE OF METHODOLOGICAL TASKS IN PROFESSIONAL TRAINING OF FUTURE TEACHERS OF INFORMATICS by Nataliia S. Pavlova

“…It is established that the process of solving methodological tasks cannot be fully algorithmized in the form of a clear sequence of actions of all participants in the educational process, and, therefore, it must contain standard professional actions of teachers, elements of creative decisions, based on awareness of the value of knowledge and experience which are reached in these conditions. …”
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Molecular mechanism underlying the protective effects of ischemic preconditioning in total knee arthroplasty by Yongli Wang, Bencai Du, Xueliang Han, Lianjun Qu

“…A protein-protein interaction network was constructed to identify hub genes according to 5 different algorithms, followed by enrichment analysis. In addition, long noncoding RNAs (lncRNAs) were identified between the T0T and T1T samples. …”
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AUTOMATION OF INNOVATIVE DEVELOPMENT MANAGEMENT OF THE RUSSIAN ARCTIC ZONE by O. Klementeva, S. Chernogorskiy, K. Shvetsov

“…The subject of research is the model-algorithmic support of the automated system providing for innovative activities within the Russian Arctic zone.The article is aimed to work out the theoretical and practical methods for automation of the regional innovative system management with application of modern information technologies. …”
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Computational Evaluation and Multi-Criteria Optimization of Natural Compound Analogs Targeting SARS-CoV-2 Proteases by Paul Andrei Negru, Andrei-Flavius Radu, Ada Radu, Delia Mirela Tit, Gabriela Bungau

“…Utilizing chemical similarity algorithms via the ChEMBL database, over 600 candidate molecules were retrieved and subjected to automated docking, interaction pattern analysis, and comprehensive ADMET profiling. …”
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Predicting ICU mortality in heart failure patients based on blood tests and vital signs by Yeao Wang, Jianke Rong, Zhili Wei, Xiaoyu Bai, YunDan Deng

“…We utilized a variety of machine learning algorithms for modeling purposes, including Logistic Regression (LR), Support Vector Machine (SVM), Decision Trees, Random Forests, Gradient Boosting Machines (GBM), XGBoost, and Neural Networks. …”
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Treatment of infections in young infants in low- and middle-income countries: a systematic review and meta-analysis of frontline health worker diagnosis and antibiotic access. by Anne C C Lee, Aruna Chandran, Hadley K Herbert, Naoko Kozuki, Perry Markell, Rashed Shah, Harry Campbell, Igor Rudan, Abdullah H Baqui

“…For study question 1, meta-analysis showed that clinical sign-based algorithms predicted bacterial infection in young infants with high sensitivity (87%, 95% CI 82%-91%) and lower specificity (62%, 95% CI 48%-75%) (six studies, n = 14,254). …”
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Design and Characterization of the Modified Purdue Subcritical Pile for Nuclear Research Applications by Matthew Niichel, Vasileios Theos, Riley Madden, Hannah Pike, True Miller, Brian Jowers, Stylianos Chatzidakis

“…This work establishes that the modified Purdue subcritical pile can provide fair neutron and gamma fluxes within a large volume to enable the radiation testing of integral electronic components and can be a versatile research instrument with the potential to support material testing and limited isotope activation, while generating valuable training data sets for machine learning algorithms in nuclear applications.…”
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Land Surface Condition-Driven Emissivity Variation and Its Impact on Diurnal Land Surface Temperature Retrieval Uncertainty by Lijuan Wang, Ping Yue, Yang Yang, Sha Sha, Die Hu, Xueyuan Ren, Xiaoping Wang, Hui Han, Xiaoyu Jiang

“…These findings deepen the understanding of LSE characteristics and provide a scientific basis for refining LST/LSE separation algorithms in thermal infrared remote sensing and for optimizing LSE parameterization schemes in land surface process models for climate and hydrological simulations.…”
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Advanced Hydroponic Nutrient Management Systems for Vertical Farming Efficiency with IoT and Model Predictive Control to Enhance Sustainable Crop Growth by Almusawi Muntather, Hussein Abbas Hameed Abdul, Raju V. Siva Prasada

“…The study shows that it is possible to hugely enhance the efficiency and productivity of vertical farming systems by utilizing advanced control algorithms and exact monitoring of vertical channels. …”
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THE RESULTS OF MYOCARDIAL REVASCULARIZATION IN NON-ST-ELEVATION ACUTE CORONARY SYNDROME PATIENTS AND MULTIVESSEL DISEASE by R. S. Tarasov, Yu. N. Neverova, V. I. Ganyukov, S. V. Ivanov, O. A. Nagirnyak, O. L. Barbarash, L. S. Barbarash

“…The development needed, of algorithms of optimal strategy of revascularization in NSTEACS, with MD, based upon objective criteria, and meaning the higher rate of CBG approach fulfilling the most complete revascularization.…”
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Economic burden of the novel coronavirus infection: a systematic review by V. M. Timiryanova, I. A. Lakman, N. Sh. Zagidullin, D. F. Gareeva

“…Predominantly, the estimates involve the calculation of quality-adjusted life years lost (QALY) (66.3%), 37.6% of the studies are based on the results of constructing scenario models, 28.8% consume algorithms of epidemiological SIR (susceptible, infected, or recovered) models, and 66.3% provide for cost assessment. …”
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THE RESULTS OF SURGICAL TREATMENT OF PATIENTS WITH MULTIPLE PRIMARY LUNG CANCERS ACCORDING TO ORENBURG REGIONAL ONCOLOGICAL CLINIC DATA by E. A. Kalinin, M. A. Senchukova, M. N. Vasukov, P. V. Samoilov, S. O. Mitryakov, S. V. Pinchuk

“…Low rates of patients’ 5‑year survival are connected with problems of primary diagnostics and low efficiency of existing algorithms of regular medical checkup of patients with this pathology. …”
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Implementing Large Language Models in Health Care: Clinician-Focused Review With Interactive Guideline by HongYi Li, Jun-Fen Fu, Andre Python

“…With the rapid development of LLMs, clinicians face a growing challenge in determining the most suitable algorithms to support their work. ObjectiveWe aimed to provide clinicians and other health care practitioners with systematic guidance in selecting an LLM that is relevant and appropriate to their needs and facilitate the integration process of LLMs in health care. …”
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Realización computacional en tres dimensiones del Método de los Elementos de Contorno en la teoría de la Elasticidad // Three dimension computational realization of the Method of t... by I. L. Alemán Romero

“…<br />In the present work triangular elements are considered, lineal interpolation is employed, the transformation to homogeneal<br />coordinates is used and it is shown the algorithms that guide to the assembling of the equations system that contributes to the<br />solution on the boundary.…”
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Activation of thermal states by coherently controlled thermalization processes by Kyrylo Simonov, Saptarshi Roy, Tamal Guha, Zoltán Zimborás, Giulio Chiribella

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Integrated transcriptome analysis and combinatorial machine learning to construct a homeostatic model of acetylation for ccRCC and validate the key gene GCNT4 by Baohua Zhu, Ziyang Mo, Yi Bao, Xinxin Gan, Linhui Wang

“…Ten machine learning algorithms and their 101 combinations were used to analyze the prognostic significance of acetylation-related differentially expressed genes (DEGs) and to construct a prognostic risk model. …”
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Multi-Omics Identification of <i>Fos</i> as a Central Regulator in Skeletal Muscle Adaptation to Long-Term Aerobic Exercise by Chaoyang Li, Xinyuan Zhu, Yi Yan

“…Key feature genes were screened using Lasso regression, SVM-RFE, and Random Forest machine learning algorithms, validated by RT-qPCR, and refined through PPI network analysis. …”
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Implementasi Metode Backpropogation dengan Inisialisasi Bobot Nguyen Widrow untuk Peramalan Harga Saham by Eliv Kurniawan, Hari Wibawanto, Djoko Adi Widodo

“…One of the weight initialization algorithms that can be increase the execution time is nguyen-widrow. …”
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Analysis of the Current State of Digitalization İmplementation in the Banking System of Azerbaijan by K. N. Atayev

“…Recent indexes confirm that the integration of mobile technologies, biometric identification systems, artificial intelligence algorithms, and fintech innovations has served as a significant catalyst for the transformation of this sector. …”
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Deep Attention Networks With Multi-Temporal Information Fusion for Sleep Apnea Detection by Meng Jiao, Changyue Song, Xiaochen Xian, Shihao Yang, Feng Liu

“…Our experiment results demonstrate that (1) compared with benchmark methods, the proposed DAN-MTIF exhibits excellent performance with 0.9106 accuracy, 0.9396 precision, 0.8470 sensitivity, 0.9588 specificity, and 0.8909 <inline-formula><tex-math notation="LaTeX">$F_{1}$</tex-math></inline-formula> score at per-segment level; (2) DAN-MTIF can effectively extract features with a higher degree of discrimination from ECG segments of multiple timescales than those with a single time scale, ensuring a better SA detection performance; (3) the overall performance of deep learning methods is better than the classical machine learning algorithms, highlighting the superior performance of deep learning approaches for SA detection.…”
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