Liquid Chromatography-Mass Spectrometry-Based Untargeted Metabolomics Analysis of Differential Metabolites in Three Types of Boza Made from Different Raw Materials by WANG Qi, GAO Yan, XUE Juanjuan, ZENG Jun, HUO Xiangdong, ZHAO Zhongkai

“…Untargeted metabolomics based on ultra-high performance liquid chromatography-quadrupole-time of flight-mass spectrometry (UPLC-Q-TOF-MS) was adopted to study three types of Boza, made from different raw materials. Multivariate statistical techniques such as principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) were used to screening for differential metabolites, and pathway enrichment analysis of differential metabolites was carried out. …”
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A Study of Success Rate of Miniscrew Implants as Temporary Anchorage Devices in Singapore by Song Yi Lin, Yow Mimi, Chew Ming Tak, Foong Kelvin Weng Chiong, Wong Hung Chew

“…Conclusion. Multivariate statistical analyses of 11 variables demonstrate that length of miniscrew implant is significant in determining success.…”
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Effect of Anaerobic Fermentation on the Aroma Characteristics of Yunnan Arabica Coffee by Chong LU, Xinxin YU, Faguang HU, Xingfei FU, Yuhong ZHAO, Wenjiang DONG

“…In this study, Yunnan Arabica coffee (Coffea arabica L.) was used as raw material, with gas chromatography-mass spectrometry (GC-MS) and electronic nose employed as primary techniques to analyze the transformation of volatile flavor compounds during anaerobic fermentation, followed by the application of multivariate statistical methods to elucidate the evolving patterns of aroma characteristics. …”
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Follicular fluid lipidomics analysis reveals altered lipid signatures in patients with polycystic ovary syndrome by Qing He, Xiaoli Guo, Wenqiang Lv, Junchao Cui, Jing Meng, Xiao Gao, Jiachen Ma, Nan Zhou, Yijuan Cao

“…Differential lipids between the two groups were screened using multidimensional statistical analysis, followed by fold change analysis and t-tests to identify potential PCOS biomarkers.Results Multivariate statistical analysis revealed significant differences in FF lipid levels between the PCOS and control groups. …”
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Integrated Crop-Livestock Management Effects on Soil Quality Dynamics in a Semiarid Region: A Typology of Soil Change Over Time by J. Ryschawy, M. A. Liebig, S. L. Kronberg, D. W. Archer, J. R. Hendrickson

“…Accordingly, multivariate statistical techniques serve as a valuable tool for analyzing data where responses to management are subtle or anticipated to occur slowly.…”
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Initial Evaluation of Computer-Assisted Radiologic Assessment for Renal Mass Edge Detection as an Indication of Tumor Roughness to Predict Renal Cancer Subtypes by Rahul Rajendran, Kevan Iffrig, Deepak K Pruthi, Allison Wheeler, Brian Neuman, Dharam Kaushik, Ahmed M Mansour, Karen Panetta, Sos Agaian, Michael A. Liss

“…Univariant and multivariant statistical analyses are utilized for analysis. …”
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The mediating role of TQM interventions and benchmarking in the impact of organizational culture on organizational performance by Naseem Mohammad Twaissi, Mohammad Orsan Al Zoubi, Ra’ed Masa’deh, Jumana Ziad AL Zoubi, Jebril Ali Alhelalat

“…Structural Equation Modeling (SEM), a multivariate statistical analysis technique, was employed to scrutinize the interrelationships among the variables under consideration. …”
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Salivary Metabolomics Fingerprint of Chronic Apical Abscess with Sinus Tract: A Pilot Study by Noemi Montis, Elisabetta Cotti, Antonio Noto, Claudia Fattuoni, Luigi Barberini

“…Subsequently, in order to compare the two groups, a multivariate statistical model was built that resulted to be statistically significant. …”
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Comparative metabolic study of planktonic and sessile cells in Salmonella Enteritidis ATCC 13076: Elucidating metabolic pathways driving biofilm formation. by Yuliany Guillín, Claudia Ortiz, William Hidalgo

“…The data matrix was analyzed by uni- and multivariate statistical methods (PCA, PLS-DA, Heatmap) in MetaboAnalyst software v 6.0. …”
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Variables Selection from the Patterns of the Features Applied to Spectroscopic Data—An Application Case by José L. Romero-Béjar, Francisco Javier Esquivel, José Antonio Esquivel

“…Spectrometers provide a large amount of data, the so-called “big data” type, which requires the use of multivariate statistical techniques, mainly principal component analysis, cluster analysis, and discriminant analysis. …”
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Assessment of Physicochemical Properties of Water and Public Perceptions of Water Quality in Tasik Chini, Pahang, Malaysia by M. S. Islam, T. M. Ekhwan, F. N. Rasli and C. T. Goh

“…The water sample was analyzed based on standard methods and categorized according to WQI (Water Quality Index). Multivariate statistical analysis was adopted to find spatial variations in water quality, determining the pollution level and sources of contamination. …”
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Spatiotemporal Variation Characteristics of Water Pollution and the Cause of Pollution Formation in a Heavily Polluted River in the Upper Hai River by Chunfang Meng, Xiaoyu Song, Kening Tian, Bingxiao Ye, Tianxiu Si

“…In this study, comprehensive water quality index (CWQI) and multivariate statistical techniques (MSTs) were applied to assess the spatiotemporal variation characteristics of water pollution and to identify potential pollution sources. …”
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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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Potential Biomarkers and Signaling Pathways Associated with the Pathogenesis of Primary Ameloblastoma: A Systems Biology Approach by Zeynab Bayat, Azin Mirzaeian, Amir Taherkhani

“…The dataset GSE132472 was obtained from the GEO database, and multivariate statistical analyses were applied to identify differentially expressed genes (DEGs) in primary ameloblastoma tissues compared to the corresponding normal gingiva samples. …”
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Length-Based Morphometric Study of the Morphologically Resembling Butterfly Species Within the Genus Graphium (Lepidoptera: Papilionidae) by Noor Azrizal-Wahid, Nurinatasya Mohd Noor, Noorhidayah Mamat, Nur Ain Izzati Mohd Zainudin

“…The morphometric measurement of the total of 50 specimens was carried out by using seven characters measured from the wing and body regions. Multivariate statistical analyses such as Discriminant Function Analysis (DFA) and Cluster Analysis (CA) were utilized to assess the discriminatory ability of the morphometric data. …”
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Selection of strawberry cultivars according to their productivity and berry quality using normalized indices by V. I. Lapshin, V. V. Yakovenko

“…Combined use of various data transformation methods and a multivariate statistical analysis that takes into account several variables would increase the efficiency of selecting promising strawberry genotypes according to a set of traits for industrial and small-scale production.Materials and methods. …”
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Assessment of Groundwater Quality in the Talensi District, Northern Ghana by Larry Pax Chegbeleh, Bismark Awinbire Akurugu, Sandow Mark Yidana

“…A comprehensive chemical quality assessment of groundwater resources in the Talensi District has been conducted using conventional graphical methods and multivariate statistical techniques. The study sought to determine the main controls of groundwater chemistry and its suitability for domestic and irrigation purposes in the district. …”
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The Role of Aquaculture in Shaping the Morphology of <i>Babylonia areolata</i>: A Comparative Study of Cultured and Wild Populations by Haishan Wang, Zhi Chen, Yuhe Tong, Le Ye, Youming Li

“…Objective: The study aims to evaluate the morphological variance between wild and cultured populations using multivariate statistical techniques and to analyze the ecological implications of these differences. …”
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Study on Compaction of Reclaimed Soil of Nonmetallic Mining Area in Northern Foothills of Tianshan Mountains in Xinjiang, China by Zizhao Zhang, Guobin Tang, Jian Zhu

“…The experimental data were analyzed by multivariate statistical analysis. The experimental results showed both compaction frequency and thickness of the reclaimed soil were key factors affecting the compaction of the reclaimed soil, and the interaction between them had a dramatic impact on the soil compaction. …”
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Effects of different processing methods on the lipid composition of hazelnut oil: A lipidomics analysis by Jiayang Sun, Xiaonuo Feng, Chunmao Lyu, Shuang Zhou, Zixuan Liu

“…The total lipid and GL content were the highest in CPO, GP content was the highest in UHO and the ceramide content in SPs was most abundant in EAO. Multivariate statistical analysis showed that the lipid profiles of hazelnut oil prepared with different processing methods varied. …”
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