Using the cylindrical rod method and a vector network analyzer to determine the dielectric permittivity of materials on microwave range by N. A. Pevneva, A. L. Gurskii, A. M. Kostrikin

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A SOLUTION TO SYSTEM ACCESS PROBLEM BASED ON CONVOLUTIONAL NEURAL NETWORK APPROACH by N. A. Iskra

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EVALUATION OF THE CHANGE OF SYSTEM RELIABILITY BY USING THE PROBABILITY-ALGEBRAIC APPROACH by D. V. Ratobylskaya

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TRANSFORMATION OF CLINICAL DATA CLUSTERS AT THE STAGE OF INITIAL DIAGNOSIS by A. I. Mitsiukhn, E. N. Maisenia

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INFORMED VOLUNTARY CONSENT IN PAEDIATRICIAN PRACTICE ORIGINAL ARTICLE by N. O. Bazhanov, N. S. Ivanenko

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A Survey of Loss Functions in Deep Learning by Caiyi Li, Kaishuai Liu, Shuai Liu

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盘型凸轮轮廓曲线参数化设计系统的开发 by 王林艳, 沈云波, 李少康

“…The profile curve of the disc cam is a sort of non-round complex curve.Its parameterized design system is realized effectively and accurately by the secondary development of AutoCAD.The friendly interface and the outstanding extensibility system of disc cam profile curre parametrization design is developed,and the fuction of parameters input,the parameters check,design calculation and drawing output are realized.According to the design theory of the disc cam,the method for the parameters check is researched and the algorithm of identifying the reasonable step length for the given fitting precision is educed.Finally,the example on the profile curve of disc cam with offset translating roller pushing bar is used to verify the system and the result is shown.…”
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BROWSER-BASED COMPUTER BUSINESS GAME AS AN INTERACTIVE LEARNING ENVIRONMENT FOR MANAGERS by В. П. Дюков

“…The analysis of the game play and the algorithm for developing an effective game strategy has been carried out. …”
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Mapping global risk levels of Bemisia tabaci in areas of suitability for open field tomato cultivation under current and future climates. by Rodrigo Soares Ramos, Lalit Kumar, Farzin Shabani, Marcelo Coutinho Picanço

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LIFO-STACK SIZE DETERMINATION FOR GROWING OF THE IMAGE REGIONS by V. Yu. Tsviatkou

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Modeling Joulev heating in COMSOL Multiphysics environment by V. F. Alexseev, G. A. Piskun, D. V. Kalinovsky, I. A. Ivliev

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CAFiKS: Communication-Aware Federated IDS With Knowledge Sharing for Secure IoT Connectivity by Ogobuchi Daniel Okey, Demostenes Zegarra Rodriguez, Frederico Gadelha Guimaraes, Joao Henrique Kleinschmidt

“…The experimental results demonstrate that the CAFiKS achieves high detection accuracy (up to 99%) on the selected datasets in identifying network traffic anomalies while using a compact network architecture for predictions. By incorporating knowledge distillation, FL clients effectively reduce communication bottlenecks and mitigate communication threats.…”
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Prognostic role of hemostasis-regulating genetic factors and their interaction with conventional risk factors at the early stages of coronary heart disease development by E. Yu. Andreenko, L. M. Samokhodskaya, A. V. Balatskyi, P. I. Makarevich, S. A. Boytsov

“…In participants with HCH, the PLA2/PLA2 genotype of GPIIIa was linked to increased MI risk for CHD patients (p=0,01; OR=6,0). Conclusion. The algorithm for predicting the genetic CHD risk may incorporate the assessment of the genetic polymorphism of GPIa (C807T), GPIIIa (PLA1/PLA2), factor XIII (V34L), and factor VII (R353Q). …”
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Analysis of the Strength Development, CO₂ Emissions, and Optimized Low-Carbon Design of Fly-Ash-Enhanced Composite Concrete by Bo Yang, Yu Dong, Xiao-Yong Wang

“…The correlation coefficient between the predicted and actual strength values was 0.98208. The parameter analysis indicates that, for a given FA/(C + FA) ratio or curing duration, the relative strength of the concrete increases more rapidly with a lower W/(C + FA) ratio. …”
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COMPREHENSIVE THERAPY OF ENDO-PERIODONTAL LESIONS: MOVING STEP BY STEP TOWARDS COMPLETE FUNCTIONAL REHABILITATION OF PATIENTS WITH COMBINED PATHOLOGY by Yu.O. Kinash, L.V. Kinash

“…The coefficient of concordance demonstrates the importance of the therapy we conducted with the possibility of predicting its outcomes, mathematically confirming and equating the data with index analysis. …”
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Integrating GIS and remote sensing for soil attributes mapping in degraded pastures of the Brazilian Cerrado by Rômullo Oliveira Louzada, Ivan Bergier, Édson Luis Bolfe, Jayme Garcia Arnal Barbedo

“…This study integrates active and passive remote sensing data with Machine Learning (ML) methods to predict the physicochemical properties of degraded sandy soils in the Brazilian Cerrado. …”
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The impact of SRRM2-AS1 in ovarian cancer: a comprehensive analysis based on pan-cancer and in vitro validation by Jiaojiao Lu, Xia Zheng, Xu Li

“…Immune cell infiltrations were assessed with the single-sample Gene Set Enrichment Analysis (ssGSEA) algorithm, while subcellular localization was predicted using the lncATLAS database. …”
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Machine learning-driven identification of critical gene programs and key transcription factors in migraine by Lei Zhang, Yujie Li, Yunhao Xu, Wei Wang, Guangyu Guo

“…Random forest analysis predicted ARID3A as the top transcription factor regulating gene program 1, suggesting its potential role in modulating calcium-related genes involved in migraine. …”
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Phenotypic Trait Acquisition Method for Tomato Plants Based on RGB-D SLAM by Penggang Wang, Yuejun He, Jiguang Zhang, Jiandong Liu, Ran Chen, Xiang Zhuang

“…The relative errors when predicting the plant height, canopy width, and volume are 3.86%, 14.34%, and 27.14%, respectively, while the errors concerning the fruit count and fruit volume are 14.36% and 14.25%. …”
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Immunogenomic-Based Analysis of Hierarchical Clustering of Diffuse Large Cell Lymphoma by Longhao Wang, Wei Yuan, Lifeng Li, Zhibo Shen, Qishun Geng, Yuanyuan Zheng, Jie Zhao

“…Immunocharacteristics-related DLBCL subtypes’ construction predicts expected patient results and supplies conceivable immunotherapy candida.…”
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