Investigating a hybrid mixed population leads to recognizing a new species of Arctostaphylos (Ericaceae) by Tito Abbo, Morgan A. Stickrod, Alexander Krohn, V. Thomas Parker, Michael C. Vasey, William Waycott, Amy Litt

“…Additionally, the Santa Barbara County A. rudis samples are admixed in STRUCTURE analysis unlike the samples from the Nipomo Mesa. A principal component analysis of eight morphological characters shows that A. rudis individuals from Santa Barbara County tend to be phenotypically variable, occurring in a wide morphological cluster that overlaps with the tight clusters formed by A. purissima, A. crustacea, and Arctostaphylos from the Nipomo Mesa. …”
Get full text

ON THE ISSUE OF ASSESSING THE ECOLOGICAL STATE OF VARIOUS WATERCOURCES IN THE CONDITIONS OF ANTHROPOGENIC PRESSURE by Elena A. Shashulovskaya, Svetlana A. Mosiyash, Olga V. Shashulovskaya, Irina G. Filimonova, Liliya V. Grishina, Elena G. Kuzina

“…The greatest contribution to the assessment of the degree of water pollution is made not only by the concentration of technogenic metals, but also by indicators of the content of organic matter, the amount of which depends on the level of bioproduction processes. The principal component analysis made it possible to structure the indices calculated for each river and to “explain” some of the information contained in the initial variables. …”

Quantitative Determination of Marker Compounds and Fingerprint Analysis of the Seeds of Vernonia anthelmintica by Zulipiya Maimaiti, Ablajan Turak, Qing Ling Ma, Geyu Liu, Haji Akbar Aisa

“…Data corresponding to common peak areas and HPLC chromatographic fingerprints were analyzed by exploratory hierarchical cluster analysis (HCA) and principal component analysis (PCA) to extract information of the most significant variables contributing to characterization and classification of the analyzed samples. …”
Get full text

Chemical Characterization of Major and Minor Compounds of Nut Oils: Almond, Hazelnut, and Pecan Nut by Gabriel D. Fernandes, Raquel B. Gómez-Coca, María del Carmen Pérez-Camino, Wenceslao Moreda, Daniel Barrera-Arellano

“…The major tocopherol in hazelnut and sweet almond oils was α-tocopherol, whereas γ-tocopherol prevailed in pecan nut oil. Principal component analysis made it possible for us to differentiate among samples, as well as to distinguish between commercial and laboratory-extracted oils. …”
Get full text

A Novel Rose Hip Preparation with Enhanced Anti-Inflammatory and Chondroprotective Effects by Joseph Schwager, Nathalie Richard, Rotraut Schoop, Swen Wolfram

“…These changes are associated with diminished inflammatory damage or cartilage erosion. Principal component analysis revealed that (1) RH-A and RH-B modified a large pattern of biomarkers, and (2) RH-B outperformed RH-A. …”
Get full text

Mean-Variance optimal portfolio selection integrated with support vector and fuzzy support vector machines by Simrandeep Kaur, Arti Singh, Abha Aggarwal

“…Additionally, the SVM model incorporates principal component analysis (PCA)to eliminate correlated technical indicators. …”
Get full text

Identification of Imitation Cheese and Imitation Ice Cream Based on Vegetable Fat Using NMR Spectroscopy and Chemometrics by Yulia B. Monakhova, Rolf Godelmann, Claudia Andlauer, Thomas Kuballa, Dirk W. Lachenmeier

“…For sample preparation, the fat was extracted using an automated Weibull-Stoldt methodology. Using principal component analysis (PCA), imitation products can be easily detected. …”
Get full text

Prediction of Multidimensional Poverty Status With Machine Learning Classification at Household Level: Empirical Evidence From Tanzania by Ngong'Ho Bujiku Sende, Snehanshu Saha, Leon Ruganzu, Saibal Kar

“…Additionally, dimensionality data reduction was performed using Principal Component Analysis (PCA). With regard to the evaluation metrics, we show that the Ensemble Learning Model has achieved the best performance modelling both balanced and unbalanced datasets. …”
Get full text

Detection of Lard in Ink Extracted from Printed Food Packaging Using Fourier Transform Infrared Spectroscopy and Multivariate Analysis by Syazwani Ramli, Rosnita A. Talib, Russly A. Rahman, Norhazlin Zainuddin, Siti Hajar Othman, Norma M. Rashid

“…The score plots obtained from the Principal Component Analysis (PCA) revealed that the maximum number of factors (7 factors) was needed to explain 84% of the total variance. …”
Get full text

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 DOE-WQI value categorized the lake under class II and class III. The Principal Component Analysis (PCA) revealed that the major sources of contamination were due to anthropogenic activities, especially settlement, mining, agriculture, and illegal activities. …”
Get full text

GENomE wide analysis of sotalol-induced IKr inhibition during ventricular REPOLarization, "GENEREPOL study": Lack of common variants with large effect sizes. by Joe-Elie Salem, Marine Germain, Jean-Sébastien Hulot, Pascal Voiriot, Bruno Lebourgeois, Jean Waldura, David-Alexandre Tregouet, Beny Charbit, Christian Funck-Brentano

“…QTc and TpTe increased by 5.5±3.5% and 15±19.6%, respectively, and TAmp decreased by 13.2±15.5%. A principal-component analysis derived from the latter ECG changes was performed. …”
Get full text

Comparative Microstructural Evaluation of Wood in Three Dominant Ziziphus Species of Desert Ecosystem (Cholistan), Pakistan by Muhammad Bilal, Zaheer-ud-din Khan, Sohaib Muhammad, Uzma Hanif, Khalid Hussain, Muhammad Tayyab, Andleeb Anwar Sardar, Hassan Nawaz, Muhammad Jawad Tariq Khan, null Mahrukh, Aneela Rasool, Summiya Faisal, Muhammad Zahid

“…One-way ANOVA followed by the Tukey test was conducted to observe different anatomical variations within selected species. Principal component analysis revealed correlations among studied anatomical parameters. …”
Get full text

Regulator of G protein signaling-1 facilitates ovarian cancer development by modulating NF-kB signal pathway by Liu Shengnan, Xi Jiayan, Sun Meng, Li Li, Cai Shengyun, Xu Mingjuan

“…The model’s reliability and validity were confirmed through Kaplan-Meier analysis, receiver operating characteristic (ROC) curve, and principal component analysis (PCA). The risk score was validated as an independent indicator of overall survival, and a nomogram model was created to predict overall survival. …”
Get full text

Differences of active substances in different fruit phenotypes of Lycium ruthenicum Murr. by SHI Cui, KONG Dongsheng, WU Yao, BAO Jingwei

“…The correlation coefficients between phenotypic characteristics and active substances were extremely significant in 143 pairs (P <0.01) and significant in 20 pairs (P <0.05). (3) Principal component analysis showed that the characteristic vector values of red, green, blue, brightness, lightness, gray, perimeter, area, length, width, angular distance, and energy value were higher, which could be used as important reference factors for fruit quality evaluation. …”
Get full text

Phytochemical Study of Eight Medicinal Plants of the Lamiaceae Family Traditionally Used as Tea in the Sharri Mountains Region of the Balkans by Avni Hajdari, Behxhet Mustafa, Lirie Hyseni, Ani Bajrami, Genista Mustafa, Cassandra L. Quave, Dashnor Nebija

“…Chemical composition of essential oils obtained from these species was analyzed using GC-MS and GC-FID with the aim of examining their volatile compound profiles, responsible for their respective flavors and fragrance. Principal Component Analysis (PCA) was performed with the aim of grouping plant species under study on the basis of their chemical composition. …”
Get full text

Unraveling the Difference in the Composition/Content of the Aroma Compounds in Different Tobacco Leaves: For Better Use by Tiejun Yan, Ping Zhou, Fei Long, Jing Liu, Fengguang Wu, Maolin Zhang, Jialei Liu

“…Then, the principal component analysis (PCA) and similarity analysis were performed for the eight tobacco samples. …”
Get full text

Application of Multivariate Statistical Analysis in Evaluation of Surface River Water Quality of a Tropical River by Teck-Yee Ling, Chen-Lin Soo, Jing-Jing Liew, Lee Nyanti, Siong-Fong Sim, Jongkar Grinang

“…The present study evaluated the spatial variations of surface water quality in a tropical river using multivariate statistical techniques, including cluster analysis (CA) and principal component analysis (PCA). Twenty physicochemical parameters were measured at 30 stations along the Batang Baram and its tributaries. …”
Get full text

Spatial and Temporal Variability of Polycyclic Aromatic Hydrocarbons in Sediments from Yellow River-Dominated Margin by Su Ding, Yunping Xu, Yinghui Wang, Xinyu Zhang, Liang Zhao, Jiaping Ruan, Weichao Wu

“…The applications of molecular diagnostic ratios and principal component analysis suggest that PAHs are predominantly produced by the coal and biomass combustion, whereas the contribution of petroleum combustions slightly increased after the 1970s, synchronous with an increasing usage of oil and gas in China.…”
Get full text

Multi-Element Composition of Honey as a Suitable Tool for Its Authenticity Analysis by Oroian Mircea, Amariei Sonia, Leahu Ana, Gutt Gheorghe

“…We would like to achieve the following goal: to demonstrate that the qualitative and quantitative multi-element composition determination of honey can be used as a suitable tool to classify honey according to its botanical origin. The principal component analysis allowed the reduction of the 27 variables to 2 principal components which explained 74% of the total variance. …”
Get full text

Soil Quality Assessment Strategies for Evaluating Soil Degradation in Northern Ethiopia by Gebreyesus Brhane Tesfahunegn

“…LS1 had the highest mean SQI (0.931) using the scoring functions and principal component analysis (PCA) dataset selection, while the lowest SQI (0.458) was measured for LS8. …”
Get full text