Differentiation and characterization of volatile compounds in five common milk powders using HS-GC-IMS, HS-SPME-GC–MS, and multivariate statistical approaches by Yaxi Zhou, Diandian Wang, Jian Zhao, Yu Guo, Wenjie Yan

“…This study analysed and identified the flavor characteristics of five common types of milk powders in China, including yak milk powder, donkey milk powder, camel milk powder, goat milk powder, and cow milk powder, using Headspace-Gas Chromatography-Ion Mobility Spectrometry (HS-GC-IMS), Headspace Solid-Phase Microextraction-Gas Chromatography-Mass Spectrometry (HS-SPME-GC–MS), and multivariate statistical analysis. Results identified 55 and 86 volatile compounds via HS-GC-IMS and HS-SPME-GC–MS, respectively, revealing significant differences between milk powders. …”
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Water–rock interaction in the geothermal systems related to post-collision zone volcanism: A case study based on multivariate statistical analysis from the Kavak geothermal field (Konya, Turkey) by Gündüz, Mesut, Bozdağ, Ayla, Bayram, Ali Ferat, Bozdağ, Ali, Asan, Kürşad, Sardini, Paul

“…The chemical relationship between the KGF and high-K ErAVC is clearly seen in the cation-based diagrams. Multivariate statistical analysis confirms that first type and second type thermal waters identified based on their hydrochemistry formed two separate statistical groups, and suggests that the chemistry of the KGF waters was mainly controlled by the composition of the ErAVC rather than those of the basement metamorphic rocks as a result of water–rock interaction.…”
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Enhanced multivariate data fusion and optimized algorithm for comprehensive quality profiling and origin traceability of Chinese jujube by Peng Chen, Xiaoli Wang, Rao Fu, Xiaoyan Xiao, Yu Li, Tulin Lu, Tao Wang, Qiaosheng Guo, Peina Zhou, Chenghao Fei

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Multi-component screening coupled with ultrasound-assisted green extraction based on HPLC-HRMS for bio-actives analysis in saffron (Crocus sativus L.) by Shouying Wang, Yiqing Song, Miaomiao Chen, Bing Bai, Lin Zhou, Changyan Zhou, Yongchun Zhang, Zhiying Huang, Wenshuai Si

Subjects: “…., bioactive components, HPLC-HRMS, multivariate statistical analysis, antioxidant…”
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Impact of monthly air pollution and weather conditions on cardiorespiratory mortality in Portuguese Metropolitan Areas by Ediclê de Souza Fernandes Duarte, Paulo Sérgio Lucio, Lígia Henriques-Rodrigues, Maria João Costa

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Impact of combined grape maturity and selected Saccharomyces cerevisiae on flavor profiles of young ‘cabernet sauvignon’ wines by Xiaomin Zang, Qing Du, Jiao Jiang, Yan-ying Liang, Dongqing Ye, Yanlin Liu

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Purchase Intention of SUV Category Automobiles: Determinant Factors from the Customer Perspective by Luciene Eberle, Luan Hoffman da Cruz, Gabriel Sperandio Milan

“…For this purpose, quantitative research was carried out by applying a survey, with a convenience sample composed of 237 customers intending to purchase SUVs. Multivariate statistics were used to analyze the data through the Structural Equation Modeling approach. …”
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Study on Professors’ Perception With Respect to Higher Education Institutions’ Socially Responsible Initiatives by Adriano Stadler, Edson Andrade dos Reis, Elaine Cristina Arantes, Jansen Maia Del Corso

“…Descriptive analysis and multivariate statistics (cluster and factorial analysis) provided empirical evidence to the research. …”
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HYDROXYLAPATITE OF BONE TISSUE: DYNAMICS OF CRYSTALLOCHEMICAL ALTERATIONS UPON OSTEOPOROSIS by A.A. Bibko, O.V. Bukharova, E.A. Kostrub, A.G. Miroshnichenko, M.V. Korovkin

“…A significant role of Al in the development of the disease was established using multivariate statistics methods. The X-ray diffraction revealed the increase in the unit cell parameters of hydroxylapatite with the osteoporosis progression. …”
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Assessment of phenotypic diversity of Ñuña, a local common bean (Phaseolus vulgaris L.) from the northern Andes in Peru by Angel Esteban Santa Cruz Padilla, Jorge Luis Vásquez-Orrillo, Ricardo Manuel Bardales-Lozano, Hipolito Murga-Orrillo

“…The analysis considered qualitative and quantitative traits, using multivariate statistics and comparison of means. Results revealed high phenotypic variability in both qualitative and quantitative traits. …”
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Analysis of correlations between indices of academic performance by Jelena Čikun, Jonas-Vytautas Daunoravičius, Marijus Radavičius

“… The paper is devoted to multivariate statistical analysis of academic performance data. …”
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Cluster analysis applied to fuel price data in Campina Grande by Richard Silva, Thaisa Azevedo, Hiago Martins, Lucas Cardoso Pereira

“… This work uses cluster analysis to analyze similarities in the prices of regular gasoline and ethanol in Campina Grande-PB, Brazil. This multivariate statistical technique groups similar elements into distinct clusters using the non-hierarchical method (k-means). …”
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Activities in the Context of a Network, Trust and Internal Resources as Antecedents of the Effectiveness of Network Governance: a Study of the Impact on the Performance of the Comp... by Henrique Cordeiro Martins, Lucas Araújo Bassalo de Siqueira, José Antônio Sousa Neto

“…To this end, 181 companies linked to the FIEMG-MG were surveyed in a quantitative and descriptive analysis in which multivariate statistical analysis was used to analyse the data. …”
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Application of Principal Component Analysis for Steel Material Components by Miran Othman Tofiq, Kawa Muhammad Jamal Rasheed

“…In this research, we made use of the principal component analysis (PCA) technique, which is a multivariate statistical method that transforms a fixed number of correlated variables into a fixed number of orthogonal, uncorrelated axes known as principal components by making use of orthogonal transformation. …”
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Provenancing ancient materials with lead isotopes: overlap uncovered by Sarah De Ceuster, Jurian Hoogewerff, Patrick Degryse

“…However, it has never been comprehensively studied using a multivariate statistical approach. In this paper, the kernel density estimation (KDE) approach previously proposed by the authors is applied to calculate overlap between possible ore source regions. …”
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Assessment of Metallic Content, Pollution, and Sources of Road Dust in the City of Białystok (Poland) by Mirosław Skorbiłowicz, Elżbieta Skorbiłowicz, Wojciech Łapiński

“…We mapped the metallic concentrations in the samples to evaluate the spatial distribution of these elements and identified proximity to main road junctions with high traffic as a major factor. Multivariate statistical analysis (Pearson correlation, cluster analysis, and analysis of major components) revealed an association between vehicle operation, and Zn, Ni, Cu, and Cr, as these elements were found in the most traffic-congested areas. …”
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Metabolome profiling dissects the oat (Avena sativa L.) innate immune response to Pseudomonas syringae pathovars. by Chanel J Pretorius, Paul A Steenkamp, Ian A Dubery

“…Chemometric modelling and multivariate statistical analysis indicated time-related metabolic reconfigurations that point to host and nonhost interactions in response to bacterial inoculation/infection. …”
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