Nonlinear Regression with High-Dimensional Space Mapping for Blood Component Spectral Quantitative Analysis by Xiaoyan Ma, Yanbin Zhang, Hui Cao, Shiliang Zhang, Yan Zhou

“…SVR with inverse multiquadric kernel has the best predictive performance that can be used for blood component spectral quantitative analysis.…”
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Gender differences in dietary patterns and physical activity: an insight with principal component analysis (PCA) by Alessandra Feraco, Stefania Gorini, Elisabetta Camajani, Tiziana Filardi, Sercan Karav, Edda Cava, Rocky Strollo, Elvira Padua, Massimiliano Caprio, Andrea Armani, Mauro Lombardo

“…Conclusions This study, using principal component analysis (PCA), revealed gender-specific patterns in diet, physical activity and body composition. …”
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Effect of genotypes for growth hormone gene in Awassi ewes on milk production and components by Haitham Hadi, Omar ALmallah, Falah AL-Hassan

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Analysis of moving process of grain material components in suction chamber of grain-cleaning machine by A. L. Glushkov

“…Conducting of theoretical investigations of moving process of grain heap under the action of air flow and analysis of obtained trajectories of moving is necessary at design of pneumo-separating devices of grain-cleaning machines. …”
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Comparative analysis of components of university adjustment of medical students studying on different financial basis by Yu. N. Timofeeva

“…The purpose of the study is to conduct empirical and statistical evaluation, as well as subsequent comparative analysis of the expression of university adaptation components (social, didactic, and professional) in 1st year medical students studying on different financial basis (commercial, budgetary, and target contract). …”
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Human reliability in non-destructive inspections of nuclear power plant components: modeling and analysis by Vanderley Vasconcelos, Wellington Antonio Soares, Raissa Oliveira Marques, Silvério Ferreira Silva Jr, Amanda Laureano Raso

“…Many techniques are suitable for modeling and analyzing human reliability in NDI of nuclear power plant components, such as FMEA (Failure Modes and Effects Analysis) and THERP (Technique for Human Error Rate Prediction). …”
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Comprehensive genetic analysis and predictive evaluation of milk electrical conductivity for subclinical mastitis in Chinese Holstein cows by Xubin Lu, Mingxue Long, Zhijian Zhu, Haoran Zhang, Fuzhen Zhou, Zongping Liu, Yongjiang Mao, Zhangping Yang

“…The aim was to conduct a comprehensive genetic analysis and assess the potential of milk electrical conductivity as a biomarker for the early detection of bovine subclinical mastitis. …”
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Simulation and Test of Key Decorticating Components of Spiral Ramie Decorticator by Wenlong Zheng, Lan Ma, Jiajie Liu, Bo Yan, Yiping Duan, Sixun Chen, Jiangnan Lyu, Wei Xiang

“…The three-dimensional model of the ramie stripping component was crafted with SolidWorks software, and subsequent modal analysis and dynamic simulation studies were conducted using Abaqus software. …”
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NEUTRAL AND CONTEXT-DEPENDENT PHRASEOLOGISMS CONTAINING A SOMATIC COMPONENT IN THE ALBANIAN LANGUAGE AND THEIR TRANSLATION EQUIVALENTS IN SERBIAN by Ana Sivački

“…One of the crucial reasons underlying the analysis conducted herein pertains to insufficiently explored mutual phraseological relations between Albanian and Serbian, coupled with a rather interesiting concept of existence of the neutral and context-dependent semantic fields. …”
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Diagnostic accuracy of milk components for pregnancy diagnosis in mid and late lactation cows by Ufuk Kaya, Murat Onur Yazlık, Hüseyin Özkan, Baran Çamdeviren, Güven Güngör, Sevda Dalkıran, Hasan Hüseyin Keçeli, İrem Karaaslan, Akın Yakan, Aytaç Akçay

“…Milk samples were collected in sterile tubes for SCC and milk components analysis. In each lactation period, SCC, milk yield and milk component parameters were analysed by Student's t test according to pregnancy status. …”
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Research on Rehabilitation Training Based on Principal Component Analysis of Three Dimensional Motion Data of Taijiquan by Xiang LI, Jian WANG, Tianjiao LI, Xiangbin WANG

“…Objective:In order to improve the effectiveness of rehabilitation training, using the principal component analysis method to study movement characteristics of TAI CHI action.Methods:The subjects played Taijiquan "YUNSHOU" action of YANG style, meanwhile, the three dimensional motion capture system (Motion Analysis) were used for data acquisition, collected motion data of elbow, shoulder, head and body cadres, and then analyzed the data by principal component analysis method.Results:The obtained data were statistically analyzed, which showed that the selected joints motion data were correlated (<italic>P</italic>&lt;0.01), head rotation angle and torso rotation angle existed significant correlation (correlation coefficient is 0.993, <italic>P</italic>&lt;0.01), head rotation angle and shoulder flexion angle were correlated (<italic>P</italic>&lt;0.01), shoulder flexion angle and elbow flexion angle were correlated (<italic>P</italic>&lt;0.01); principal component analysis results showed that when the trunk rotation angle was taken as variables, elbow flexion angle, shoulder flexion angle, head rotation angle were considered as independent variables, all the joints were involved in completing the hand movements (<italic>P</italic>&lt;0.01).Conclusion:Taijiquan "YUNSHOU" movements can be divided into two main components, the main motion components can be decomposed in the rehabilitation training were conducted, and then whole motion integration training were conducted, it will speed up motor learning process during rehabilitation period, improve coordination of action, thus achieving the purpose of fast and efficient recovery.…”
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Study of aging life for EMU arresters based on aging tests and principal component analysis method by LI Ying, SONG Yanjun, XU Yuqi, LIU Kai, CHEN Kui, GAO Guoqiang

“…Additionally, an aging life model was established using the principal component analysis method for these arresters. The results show that the calculated evaluation value of the failure thresholds for the five performance parameters of the arresters reach 82 after standardized processing, indicating a service capacity of up to 7.5 million kilometers for new on-board arresters. …”
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ENVIRONMENTAL IMPACT ANALYSIS OF QUARRYING ACTIVITIES IN SUNGAI DUKU, PADANG PARIAMAN, IN TERMS OF BIOLOGICAL COMPONENTS by Farhanah Shofwah Verina, Vauzia Vauzia, Khairunisa Khairunisa, Ardelia Febriana

“…A qualitative descriptive analysis method was employed, with data collected through observation, documentation, and interviews conducted at the study site. …”
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Comparative Analysis of Dynamic and Steady State Performances of Hill Climbing and Incremental Conductance MPPT Controllers for PV Systems by Noussaiba Mennai, Ammar Medoued, Youcef Soufi

“…A crucial aspect of optimizing the output of PV systems involves implementing efficient maximum power point tracking (MPPT) controllers, necessary due to the nonlinear characteristics of these systems. This study conducts a simulation-based comparative analysis of two prominent MPPT techniques: hill climbing (HC) and incremental conductance (INC) methods. …”
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In Vitro Propagation of Pink Lapacho: Response Surface Methodology and Factorial Analysis for Optimisation of Medium Components by Ezequiel Enrique Larraburu, Nancy Mariel Apóstolo, Berta Elizabet Llorente

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Genetic diversity studies for yield and physiological traits using principal component analysis in little millet by T. Venkata Ratnam1 and L. Madhavi Latha2*

“…Principal Component Analysis (PCA) was conducted to assess the genetic variability among 50 little millet genotypes based on yield and physiological traits. …”
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Analysis of the major carbon and nitrogen metabolic components in rice internodes based on near-infrared spectroscopy by XU Hongfa, LIU Zhenghui, ZHANG Hongmei, CHENG Wangda

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Analysis on the Main Components of Selenium-Enriched <i>Premna microphylla</i> Leaves and Processed Tofu by Jianan Wang, Chunli Chen, Fangjie Mou, Bin Wang, Jingzhou Dong

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Analysis on the difference of volatile flavor components in strong-flavor Baijiu base liquor with different grades by YUE Xiaolin, XIANG Shuangquan, QIAN Yu, LIAN Shengqiang, YANG Guorui, LAN Xiaoqin, TAN Wenyuan

“…Principal component analysis (PCA) and orthogonal partial least squares-discriminant analysis (OPLS-DA) were conducted based on the results, the key flavor components were screened based on odor activity value (OAV), the different flavor components were screened using variable importance in the projection (VIP) values, and the discriminant model was established combined with machine learning. …”
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Representational models: A common framework for understanding encoding, pattern-component, and representational-similarity analysis. by Jörn Diedrichsen, Nikolaus Kriegeskorte

“…Currently, three different methods are being used to test such hypotheses: encoding analysis, pattern component modeling (PCM), and representational similarity analysis (RSA). …”
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