Speciation of heavy metals in coastal water of Qeshm Island in the Persian Gulf by A.R. Karbassi, S. Tajziehchi, H. Khoshgalb

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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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Analysis and Evaluation of Quality Indicators and Volatile Compounds of Different Rice Cultivars with Geographical Indication by WANG Qin, ZHOU Changyan, ZHAO Xiaoyan, LI Xiaobei, LI Xujiao, JIANG Zhenghui, ZHANG Yanmei

Subjects: “…geographical indication rice; quality evaluation; volatile compounds; multivariate statistical analysis; correlation analysis; cluster analysis…”
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Harbor water pollution by heavy metal concentrations in sediments by L. Sulistyowati, Y. Yolanda, N. Andareswari

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Mid-infrared spectra of dried and roasted cocoa (Theobroma cacao L.): A dataset for machine learning-based classification of cocoa varieties and prediction of theobromine and caffe... by Gentil A. Collazos-Escobar, Andrés F. Bahamón-Monje, Nelson Gutiérrez-Guzmán

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RELATIONSHIPS AMONG GENES FOR COMMERCIALLY VALUABLE TRAITS IN C. ANNUUM VAR. ANNUUM L.: PATTERN CONSTRUCTION AND ANALYSIS by O. O. Timina

“…The structure of the complex of informative allele effects associated with heterosis for the marketable yield character has been refined by multivariate statistics.…”
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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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Quadratic Forms in Random Matrices with Applications in Spectrum Sensing by Daniel Gaetano Riviello, Giusi Alfano, Roberto Garello

“…Quadratic forms with random kernel matrices are ubiquitous in applications of multivariate statistics, ranging from signal processing to time series analysis, biomedical systems design, wireless communications performance analysis, and other fields. …”
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Applying of Factor Analyses for Determination of Trace Elements Distribution in Water from River Vardar and Its Tributaries, Macedonia/Greece by Stanko Ilić Popov, Trajče Stafilov, Robert Šajn, Claudiu Tănăselia, Katerina Bačeva

“…Cluster and R mode factor analysis (FA) was used to identify and characterise element associations and four associations of elements were determined by the method of multivariate statistics. Three factors represent the associations of elements that occur in the river water naturally while Factor 3 represents an anthropogenic association of the elements (Cd, Ga, In, Pb, Re, Tl, Cu, and Zn) introduced in the river waters from the waste waters from the mining and metallurgical activities in the country.…”
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Differentiation of modern sub-Saharan African populations: craniometric interpretations in relation to geography and history by Isabelle Ribot

“…The sample was subdivided into four geographical units (Western Africa, Central Africa, Eastern Africa, Southern Africa) and two historic foraging groups (Pygmies, KhoiSan). Multivariate statistics were performed using up to twelve metric traits. …”
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Study of Seasonal Variation in Groundwater Quality of Sagar City (India) by Principal Component Analysis by Hemant Pathak, S. N. Limaye

“…The work was carried out during different months of the pre-monsoon, monsoon and post-monsoon seasons in June 2009 to June 2010. The multivariate statistics such as principal component and cluster analysis were applied to the datasets to investigate seasonal variations in groundwater quality. …”
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The Metabolomic Characterization of Different Types of Coronary Atherosclerotic Heart Disease in Male by Yuxuan Fan, Xianglan Quan, Shengquan Liu, Le Yue, Jizong Jiang, Zhiqing Fan

“…The serum samples of patients were analyzed by multivariate statistics. Results. Results showed that 17 altered metabolites were identified to have a clear distinction between the stable CAD group and the healthy subjects. …”
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Quantification of Hydrogen Peroxide in Cretan Honey and Correlation with Physicochemical Parameters by Amalia Alygizou, Spyros Grigorakis, Panagiota Gotsiou, Sofia Loupassaki, Antony C. Calokerinos

“…Univariate and multivariate statistics applied to the results indicate that the results can be used to discriminate honey sample groups of different botanical origins.…”
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Hydrogeochemical characterization and water quality assessment of mountain springs: Insights for strategizing water management in the lesser Indian Himalayas by Bhargabnanda Dass, M. Someshwar Rao, Sumit Sen

“…We employed an integrated approach combining hydrogeochemical analysis, multivariate statistics, and spring water quality index modeling to understand the dominant processes influencing aquifer hydrochemistry and assess spring status, providing a reference framework for regional water management decision-makers. …”
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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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Estimation of the Resistivity Index via Nuclear Magnetic Resonance Log Data Based on Fractal Theory by Cheng Feng, Chuang Han, Wenxing Duan, Wei Wang, Yuntao Zhong, Ziyan Feng, Ning Zhang

“…Next, the experimental results were substituted into the established model to get the model parameters via the multivariate statistics regression method. Then, the experimental data engaged and not engaged in modeling were used to test the established model. …”
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