Primary prevention cardiovascular disease risk prediction model for contemporary Chinese (1°P-CARDIAC): Model derivation and validation using a hybrid statistical and machine-learn... by Yekai Zhou, Celia Jiaxi Lin, Qiuyan Yu, Joseph Edgar Blais, Eric Yuk Fai Wan, Emmanuel Wong, Kathryn Tan, David Chung-Wah Siu, Kai Hang Yiu, Esther Wai Yin Chan, Doris Yu, William Wong, Tak-Wah Lam, Ian Chi Kei Wong, Ruibang Luo, Celine S L Chui

“…A total of 103 covariates were included in the full model whilst 8 covariates were included the basic model. …”
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Method of calculating the fuel combustion efficiency in the afterburner combustion chamber of a gas turbine dual fuel engine by A. V. Zhuk, T. V. Grasko, A. S. Kolesnikov, V. V. Raznoschikov

“…The technique was tested during an experimental study of the hydrogen-air mixture combustion in the model compartment of the afterburner combustion chamber of a commercial gas turbine engine.…”
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Model OLD0: A Physical Parameterization for Clear-Sky Downward Longwave Radiation by Juan Carlos Ceballos, Diego Pereira Enoré, Jaidete Monteiro de Souza, Francisco Luiz Leitão de Mesquita

“…It is presented a simple yet consistent physically-based model (hereafter denoted by OLD0), suitable for estimation of DLF0 at ground level. …”
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THE STOCHASTIC APPROACHES OF PROCESSES’ DESIGN IN VACUUM-PLASMA FORMATION OF NANOSTRUCTURED COATINGS by I. A. Ivanou, D. V. Valeysky, M. K. KasinskI

“…The compositions of the process gas and ion plasma flow are investigated. …”
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Modeling and Empirical Analysis of Regional Tourism Competitiveness Based on Niche Theory by Yingjuan Yang, Yanxia Wu, Haiqing Hu

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Modeling of Thermal Distributions around a Barrier at the Interface of Coating and Substrate by Ali Sahin

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Modeling creep for a closed cylindrical shell under hydrostatic pressure by M. A. Magomedov, V. V. Kuznetsov, B. M. Yazyev, S. V. Litvinov

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Modeling and Simulation Analysis of High-speed EMUs Emergency Brake System by CAI Li, CHEN Shu-jun, DU Qun-wei

“…On this basis, the composite simulation had been carried out on the established models according to different load, different wheel diameter and different brake mode. …”
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Designing the model of External Factors for Universitie’s promotion in National and International Rankings by mohammad khanazizi, aliakbar aminbeidokhti, Abdulrahim naveh abraham, maghsood farasatkhah

“…The present study aimed at designing the external factors model for promoting universities in national and international Rankings through exploratory mixed method. …”
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A Label-Free Liquid Chromatography–Tandem Mass Spectrometry Method for the Quantitative Analysis of Exosome Pharmacokinetics In Vivo by Bingxuan Li, Fei Yu

“…Due to their complex and heterogeneous composition, most existing PK methods rely on chemical or genetic labeling, which may alter their native behavior and complicate accurate analysis. …”
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Presenting the model of knowledge management in universities with a meta-synthesis approach by Shahnaz Khademizadeh, Zeinab Mohammadi, Mansor Kohirostami, Yadolah Mehralizadeh

“…The current research has been done with the aim of presenting a model of knowledge management in universities. In terms of methodology, this research is of the type of applied studies, and in terms of method, it is among the qualitative and meta-composite researches. …”
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Investigation into the Hyperparameters of Error-Based Adaptive Sampling Approach for Surrogate Modeling by Leonid Legashev, Sergey Tolmachev, Irina Bolodurina, Alexander Shukhman, Lyubov Grishina

“…A general algorithm for an error-based adaptive sampling technique to build the surrogate model is presented. The best results were shown by the composite Mixed Sampling method with a data refining window the size of 70% and a LightGBM regression model. …”
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Optimization of ultrasound assisted extraction of the Sea buckthorn leaves, characterization of the phenolic compounds, and determination of bioactive properties of the extracts by Nora Pap, Pertti Marnila, Juha-Matti Pihlava, Jenni Tienaho

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On the corpus of speech samples with errors in the use of Russian as a foreign language: methods of data representation and deep markup parameters by S. V. Gusarenko, M. K. Gusarenko

“…The purpose of the study, the results of which are presented in the article, is to develop the optimal composition and method of presenting data in the developed corpus of Russian speech samples with errors made by foreign students. …”
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Resistance Training is Medicine: Focusing on the Positive Impact on Metabolic Syndrome Risk Factors by Deogjo Jung

“…Additionally, resistance exercise positively influenced lipid profiles and improved body composition by reducing body fat percentage and increasing lean muscle mass. …”
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Isolation and identification of Klebsiella pneumoniae phage ΦK2046: optimizing its antibacterial potential in combination with chlorhexidine by Panjie Hu, Yao Sun, Zeyong Zhong, Sichen Liu, Deyi Zhao, Weijun Chen, Ying Zhang, Zhexiao Ma, Jianming Cao, Tieli Zhou

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A Load Control User Combinatorial Optimization Method Considering Electric Vehicle and Temperature-Controlled Load Clusters by Siwei LI, Zhongping XU, Long YU, Lishi DU, Liang YUE, Xirun ZHANG, Xiaoming WANG

“…Firstly, a hierarchical control method is used to aggregate individual EVs and temperature-controlled load clusters, and the aggregated clusters are divided into peak load shifting type and peak load shedding type according to their willingness to participate in load control types, and their respective user load control models are established. …”
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The Weight Minimization of a UAV Wing Component Through Structural Optimization by Andreas Psarros, Georgios Savaidis

“…This study focuses on the structural optimization of a composite wing element for an unmanned aerial vehicle. …”
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Wide & deep learning for predicting relative mineral compositions of sediment cores solely based on XRF scans, a case study from Pleistocene Paleolake Olduvai, Tanzania by Gayantha R.L. Kodikara, Lindsay J. McHenry, Ian G. Stanistreet, Harald Stollhofen, Jackson K. Njau, Nicholas Toth, Kathy Schick

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A prediction model for differential resilience to the effects of combat‐related stressors in US army soldiers by Ronald C. Kessler, Robert M. Bossarte, Irving Hwang, Alex Luedtke, James A. Naifeh, Matthew K. Nock, Maria Petukhova, Ekaterina Sadikova, Nancy A. Sampson, Erik Sverdrup, Jose R. Zubizarreta, Stefan Wager, James Wagner, Murray B. Stein, Robert J. Ursano

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