Effect of fermented bee pollen on metabolic syndrome in high-fat diet-induced mice by Sha Yan, Kai Wang, Xiaoying Wang, Aiqun Ou, Feiran Wang, Liming Wu, Xiaofeng Xue

“…The results of animal experiment showed that YB intervention attenuated MetS. Based on multivariate statistical analysis results, YB treatment significantly increased glutathione S-transferase (GST) and catalase (CAT) activities and decreased the malondialdehyde (MDA) level in the liver. …”
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Underlying anti-hypertensive mechanism of the Mizuhopecten yessoensis derived peptide NCW in spontaneously hypertensive rats via widely targeted kidney metabolomics by Wenjun Xue, Wenzhu Zhao, Sijia Wu, Zhipeng Yu

“…This study established a UPLC-Q-TRAP-MS/MS-based widely targeted kidney metabolomics approach to explore the changes of kidney metabolic profiles and to clarify the anti-hypertensive mechanism of peptide NCW in spontaneously hypertensive rats (SHRs). Multivariate statistical analysis indicated that the kidney metabolic profiles were clearly separated between the SHR-NCW and SHR-Untreated groups. …”
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Metabolomic Analysis of the Chemical Composition of Chongjue Luohan Tea by QIAN Yuanfeng, YANG Gaozhong, XU Weilin, XU Guodong, DENG Huifang, LAN Bingying, LIN Zhi, LÜ Haipeng

“…In addition, a total of 206 secondary metabolites were identified in Luohan tea, including flavonoids (71), amino acids and their derivatives (31), organic acids (24), nucleotides and their derivatives (19), phenolic acids (16), alkaloids (12), and saccharides and their derivatives (7). Multivariate statistical analysis pinpointed 46 differential metabolites. …”
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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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The Smoothing Artifact of Spatially Constrained Canonical Correlation Analysis in Functional MRI by Dietmar Cordes, Mingwu Jin, Tim Curran, Rajesh Nandy

“…A wide range of studies show the capacity of multivariate statistical methods for fMRI to improve mapping of brain activations in a noisy environment. …”
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Serial Analysis of Ten Precipitation-Based Indices by Land Use in Semiarid Regions by Victor M. Rodríguez-Moreno, J. Ariel Ruíz-Corral, J. Saúl Padilla-Ramírez, Alfonso Peña-Ramos, Thomas G. Kretzschmar

“…The semiarid region of Mesa Central was characterized using ten precipitation-based indices. Using multivariate statistical and geostatistical spatial analysis techniques, the influence of those indices on five land use strata was explored. …”
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Response of Extreme Hydrological Events to Climate Change in the Water Source Area for the Middle Route of South-to-North Water Diversion Project by Wei Yang, Liping Zhang, Lijie Shan, Xinchi Chen, Shaodan Chen

“…We concluded that, compared with the traditional univariate approach, multivariate statistical analysis produced flood estimates that were more physically based and statistically sound and carried lower risk for flood design purposes.…”
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Determination of the mechanical properties of recycled brick aggregate concrete by multivariate regression analysis by Nikolina Karakaš Janjić, Tanja Kalman Šipoš, Mirta Benšić

“…The database includes the findings of compressive strength and modulus of elasticity testing. Multivariate statistical analysis was performed on the data and prediction models were created. …”
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Metabolomics Approach for Discrimination and Quality Control of Natural and Commercial Fallopia multiflora Products in Vietnam by Nguyen Thi Thoa, Nguyen Hai Dang, Do Hoang Giang, Nguyen Thi Thu Minh, Nguyen Tien Dat

“…A precise HPLC-DAD-based quantification together with the metabolomics statistical method was developed to distinguish and control the quality of Fallopia multiflora, a popular medicinal material in Vietnam. Multivariate statistical methods such as hierarchical clustering analysis and principal component analysis were utilized to compare and discriminate six natural and twelve commercial samples. 2,3,4′,5-Tetrahydroxystilbene 2-O-β-D-glucopyranoside (THSG) (1), emodin (4), and the new compound 6-hydroxymusizin 8-O-α-D-apiofuranosyl-(1⟶6)-β-D-glucopyranoside (5) could be considered as important markers for classification of F. multiflora. …”
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Image Analysis Based Grading of Bladder Carcinoma. Comparison of Object, Texture and Graph Based Methods and Their Reproducibility by Heung‐Kook Choi, Torsten Jarkrans, Ewert Bengtsson, Janos Vasko, Kenneth Wester, Per-Uno Malmström, Christer Busch

“…The large numbers of extracted features were evaluated in relation to subjective grading and to factors related to prognosis using multivariate statistical methods and multilayer backpropagation neural networks. …”
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«By the pricking of their thumbs»: farmers’ income dynamics towards sustainable development in rural Ethiopia by Elena Urquía-Grande, Raquel Pérez-Estébanez, Elisa Isabel Cano-Montero, Julián Chamizo-González

“…The quantitative results were analysed through multivariate statistical analysis. Interesting results emerge; for example, farmers from rural villages that have been using wells previously donated by the non-profit organization (NPO) show various positive impacts. …”
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Variation of microbiological and small molecule metabolite profiles of Nuodeng ham during ripening by high-throughput sequencing and GC-TOF-MS by Cong Li, Yingling Zou, Guozhou Liao, Zijiang Yang, Dahai Gu, Yuehong Pu, Changrong Ge, Guiying Wang

“…Totally, 252 kinds of small molecular metabolites were identified from Nuodeng ham in different processing years, and 12 different metabolites were screened through multivariate statistical analysis. Further metabolic pathway analysis showed that 23 metabolic pathways were related to ham fermentation, of which 8 metabolic pathways had significant effects on ham fermentation (Impact > 0.01, P < 0.05). …”
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Determination of Volatile Compounds in Four Commercial Samples of Japanese Green Algae Using Solid Phase Microextraction Gas Chromatography Mass Spectrometry by Masayoshi Yamamoto, Susanne Baldermann, Keisuke Yoshikawa, Akira Fujita, Nobuyuki Mase, Naoharu Watanabe

“…Benzaldehyde was predominant in seaweed from Shizuoka prefecture (Monostroma nitidum). Multivariant statistical analysis (PCA) enabled simple discrimination of the samples based on their volatile profiles. …”
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Environmental qualitative assessment of rivers sediments by A.R. Karbassi, M. Pazoki

“…Based on the results of multivariate statistical analysis it was concluded that metals such as manganese, copper, iron, nickel and zinc are mainly natural and calcium metal is likely to have an organic origin.…”
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Geografia do trabalho no Brasil by Alexandre Gori Maia

“…The analyses are based on information provided by 2000 Demographic Census, correspondence and cluster multivariate statistical techniques, and on the spatial distribution of municipalities in a coropletic map. …”
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Impact of digital exposure on premarital sex and contraception use among unmarried Indian youth by Pragati Dattatraya Ubale, Punit Mishra, Aditi, Rajib Acharya, T.V. Sekher

“…The study applies univariate, bivariate, and multivariate statistical methods, such as Chi-square tests and Multiple Logistic Regression. …”
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A Review of Ranking Models in Data Envelopment Analysis by F. Hosseinzadeh Lotfi, G. R. Jahanshahloo, M. Khodabakhshi, M. Rostamy-Malkhlifeh, Z. Moghaddas, M. Vaez-Ghasemi

“…The fourth group uses the multivariate statistical techniques, usually applied after conducting the DEA classification. …”
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A Urine Metabonomics Study of Rat Bladder Cancer by Combining Gas Chromatography-Mass Spectrometry with Random Forest Algorithm by Mengchan Fang, Fan Liu, Lingling Huang, Liqing Wu, Lan Guo, Yiqun Wan

“…A urine metabolomics study based on gas chromatography-mass spectrometry (GC-MS) and multivariate statistical analysis was applied to distinguish rat bladder cancer. …”
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