Dysregulated autoantibodies targeting AGTR1 are associated with the accumulation of COVID-19 symptoms by Dennyson Leandro M. Fonseca, Maj Jäpel, Michael Adu Gyamfi, Igor Salerno Filgueiras, Gabriela Crispim Baiochi, Yuri Ostrinski, Gilad Halpert, Yael Bublil Lavi, Elroy Vojdani, Thayna Silva-Sousa, Júlia Nakanishi Usuda, Juan Carlo Santos e Silva, Paula P. Freire, Adriel Leal Nóbile, Anny Silva Adri, Pedro Marçal Barcelos, Yohan Lucas Gonçalves Corrêa, Fernando Yuri Nery do Vale, Letícia Oliveira Lopes, Solveig Lea Schmidt, Xiaoqing Wang, Carl Vahldieck, Benedikt Fels, Lena F. Schimke, Gustavo Cabral-Miranda, Mario Hiroyuki Hirata, Taj Ali AKhan, Yen-Rei A. Yu, Rodrigo JS Dalmolin, Howard Amital, Aristo Vojdani, Haroldo Dutra Dias, Helder Nakaya, Hans D. Ochs, Jonathan I. Silverberg, Jason Zimmerman, Israel Zyskind, Avi Z. Rosenberg, Kai Schulze-Forster, Harald Heidecke, Rusan Catar, Guido Moll, Alexander Hackel, Kristina Kusche-Vihrog, Yehuda Shoenfeld, Gabriela Riemekasten, Reza Akbarzadeh, Alexandre H. C. Marques, Otavio Cabral-Marques

“…Using a cross-sectional analysis of 244 individuals, we applied multivariate analysis of variance, principal component analysis, and multinomial regression to examine the relationships between AAB levels and key symptoms. …”
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不同温度烫制红油辣椒的风味研究 Flavor of chili oil poured at different temperatures by 张峰轶，王浩文，田浩，刘琨，王传明 ZHANG Fengyi, WANG Haowen, TIAN Hao, LIU Kun, WANG Chuanming

“…Sensory evaluation was used to analyze sensory attributes and consumer preference, and principal component analysis (PCA) was used to obtain the chili oil that had the highest consumer preference. …”
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品种和产地对核桃油脂肪酸组成及含量的影响 "Effects of varieties and producing areas on fatty acid composition and content of walnut oil" by 时杨妮1，李鑫鑫1，马兆成1,2 SHI Yangni1, LI Xinxin1, MA Zhaocheng1,2

“…A total of 51 varieties of walnuts, Xiangling walnuts from 7 producing areas and Qingxiang walnuts from 5 producing areas were used as research objects，the composition and content of fatty acid in walnut oil were determined by gas chromatography-mass spectrometry (GC-MS), and correlation analysis, principal component analysis (PCA) and cluster analysis were carried out.The results showed that 51 varieties of walnut oils contained 13 kinds of fatty acids, and the total contents of linoleic acid, oleic acid, α-linolenic acid, palmitic acid and stearic acid were higher, and they accounted for about 99% of the total fatty acid content, the content of unsaturated fatty acid in walnut oil was as high as about 90%. …”
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600 meters to VO2max: Predicting Cardiorespiratory Fitness with an Uphill Run by Kübra Stoican, Regina Oeschger

“…For the purpose of overcoming multicollinearity among the predictor variables speed to HR ratio, time, and gender, principal component analysis with two components was applied before we fed the data into the multiple linear regression model. …”
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Spatial Analysis of Factors Affecting the Formation of Smart Rural Tourism (Case Study: Tourism-Oriented Villages in Eastern Kermanshah Province) by Aliakbar Anabestani, Sajjad Barani Aliakbari

“…Research FindingsTo identify the influential factors, 41 variables were entered into the analysis. Principal component analysis using orthogonal rotation and Varimax type was employed to analyze the factors affecting the formation of smart rural tourism in the target villages located in the eastern counties of Kermanshah Province. …”
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The comparison of cointegration methods applications of Lithuanian’s economy modeling results by Viktorija Firkovič, Rimantas Rudzkis

“… Actual goal in the modeling of the Lithuania’s transition economy is to compare some different analysismethods of cointegrated time series: Johansen’s, Box–Tiao, Stock–Watson, Engle–Granger two step procedure and principal components analysis. We investigate mathematical models of the long-run relations and changes of macroeconomic indicators, which we statistically identify using different statistical estimator of cointegrated vectors (CI) and vector error correction model (VECM). …”
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Multiattribute Response of Maize Genotypes Tested in Different Coastal Regions of Brazil by Lúcio Borges de Araújo, Mario Varela Nualles, Mirian Fernandes Carvalho Araújo, Carlos Tadeu dos Santos Dias

“…This work applies the three mode principal components analysis to analyze simultaneously the multiple attributes; to fit of models with additive main effects and multiplicative interaction effects (AMMI models) and the regressions models on sites (SREG models); to evaluate, respectively, the multivariate response of the genotype × environment interaction and the mean response of 36 genotypes of corn tested in 4 locations in Brazil. …”
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Pathologies sociales dans une métropole au sud du Brésil: pour une approche multidimensionnelle des territoires urbains by Graziela Serroni Perosa, Cristiane Kerches da Silva Leite, Frédéric Lebaron, Francisco Fonseca 

“…This study intends to show the importance of multidimensional analyzes in the management of public policies related to urban territories. The Principal Components Analysis (PCA), based on the dimensions of the Social Health Index, allows to study economic and social disparities between the subprefectures of the city of São Paulo, based on data from the 2010 census, surpassing the simplification of the Development Index Human (HDI). …”
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Early Information About Bio-physical Quality of Seaweed Culture (Eucheuma cottonii) in Waworada Bay, Bima Regency by M. Sirajuddin

“…The aim of this research was to find out the early information about bio-physical quality in Waworada Bay for sustainable development of seaweed culture. PCA (Principal Components Analysis) was used to explore the characteristic distribution of biophysics parameters, and then explore the relationship between seaweed production and carragenan content with biophysics parameters. …”
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Collaborative probability based multimodel target identification in wireless sensor networks by SUN Xin-yao, WANG Xue, WANG Sheng

“…A collaborative probability based multimodel target identification method for the applications in wireless sen-sor networks was proposed.Wavelet package was used to extract the features of the target information sample,and in or-der to decrease the computing complexity and reserve the key information as well,feature compaction,which achieved by principal components analysis,was carried out before learning.Different types of Gaussian classifier were developed for classifier learning.To gain global optimal results,committee decision was employed to select and combine individual decisions with dynamically adjusted weights.The experiment results verified that the method introduced can adapt to the interference factor of the environment and can implement target identification accurately and stably.…”
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Classification of ductile cast iron specimens: a machine learning approach by A. De Santis, D. Iacoviello, V. Di Cocco, F. Iacoviello

“…The mechanical properties of a specimen are strongly influenced by the peculiar morphology of their graphite elements and useful characteristics, the features, are extracted from the specimens images; these characteristics examine the shape, the distribution and the size of the graphite particle in the specimen, the nodularity and the nodule count. The principal components analysis are used to provide a more efficient representation of these data. …”
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Pathways and Patterns of Cell Loss in Verified Alzheimer’s Disease: A Factor and Cluster Analysis of Clinico-Pathological Subgroups by H. Förstl, R. Levy, A. Burns, P. Luthert, N. Cairns

“…Thirty-seven patients with neuropathologically verified Alzheimer's disease (AD) have been studied prospectively. A principal components analysis of neuron numbers in cortical and subcortical areas revealed two variables: Variable I with high loadings for the hippocampo-parahippocampo-parietal neuron counts and Variable II with high loadings for coeruleo-frontal cell numbers. …”
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Cell-phone origin identification based on spectral features of device self-noise by Anshan PEI, Rangding WANG, Diqun YAN

“…With the widespread availability of cell-phone recording devices and the availability of various powerful and easy-to-use digital media editing software,source cell-phone identification has become a hot topic in multimedia forensics.A novel cell-phone identification method was proposed based on the recorded speech.Firstly,device self-noise (DSN) was considered as the fingerprint of the cell-phone and estimated from the silent segments of the speech.Then,the mean of the noise's spectrum was extracted as the identification.Principal components analysis (PCA) was applied to reduce the feature dimension.Support vector machine (SVM) was adopted as the classifier to determine the source of the detecting speech.Twenty-four popular models of the cell-phones were evaluated in the experiment.The experimental results show that the average identification accuracy and recall of the method can reach up to 99.24% and demonstrate that the self-noise feature has more superior performance than the MFCC feature.…”
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Comparing the semantic structures of lexicon of Mandarin and English by Yi Yang, R. Harald Baayen

“…Three techniques of dimensionality reduction were applied to mapping 300-dimensional FastText vectors into two-dimensional planes: multidimensional scaling, principal components analysis, and t-distributed stochastic neighbor embedding. …”
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An Effective Method of Monitoring the Large-Scale Traffic Pattern Based on RMT and PCA by Jia Liu, Peng Gao, Jian Yuan, Xuetao Du

“…In this paper, a method based on Random Matrix Theory (RMT) and Principal Components Analysis (PCA) is proposed for monitoring and analyzing large-scale traffic patterns in the Internet. …”
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Synoptic analysis of 500 hpa flow patterns in rainy Spring’s Arasbaran region by Karim Amininia

“…To recognize the synoptic patterns of the 500 hpa, geopotential  height data were driven for coordinates 00-70 ˚ E and 15- 65˚N in rainy springs (1972-1976-1979-1981-1986).To select the most important component using principal components  analysis, a matrix S mode with dimensions 386×610 was used. …”
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Butterfly Species Richness in Selected West Albertine Rift Forests by Patrice Kasangaki, Anne M. Akol, Gilbert Isabirye Basuta

“…The butterfly species richness of 17 forests located in the western arm of the Albertine Rift in Uganda was compared using cluster analysis and principal components analysis (PCA) to assess similarities among the forests. …”
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Validity and Reliability of Mobility Inventory-Turkish Version by Aysegul KART, Mehmet Hakan TURKCAPAR

“…Results: To assess construct validity of MI, factor analysis were performed using principal components analysis and varimax rotation. The Cronbachs alpha coefficient for when alone and when accompanied subscales were 0.93 and 0.90 respectively. …”
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regionalpcs improve discovery of DNA methylation associations with complex traits by Tiffany Eulalio, Min Woo Sun, Olivier Gevaert, Michael D. Greicius, Thomas J. Montine, Daniel Nachun, Stephen B. Montgomery

“…In contrast to averaging, regionalpcs uses principal components analysis to capture complex methylation patterns across gene regions. …”
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Simultaneous determination of ten nucleosides and bases in Ganoderma by micellar electrokinetic chromatography by Feiya Sheng, Songsong Wang, Xiao Luo, Jianbo Xiao, Linfeng Hu, Peng Li

“…Results indicated that contents of 10 investigated analytes in each sample showed obvious variation. The principal components analysis (PCA) and hierarchical cluster analysis (HCA) analysis classified the samples into three groups, and the HCA tree visualized the relationships which was mainly contributed by geographical partition. …”
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