Profiles of Sugar and Organic Acid of Fruit Juices: A Comparative Study and Implication for Authentication by Jiaxiu Li, Chunling Zhang, Hui Liu, Jiechao Liu, Zhonggao Jiao

“…With the aid of principal component analysis and linear discriminant analysis (LDA), the juice samples could be successfully classified according to fruit species by using the sugar and/or organic acid composition as analytical data. …”
Get full text

Effects of Dietary Resveratrol, Bile Acids, Allicin, Betaine, and Inositol on Recovering the Lipid Metabolism Disorder in the Liver of Rare Minnow Gobiocypris rarus Caused by Bisph... by Yingying Zhang, Yinan Jiang, Ziying Wang, Jiayu Wang, Mingzhen Zhu, Hui Yang

“…The TG in resveratrol, bile acid, allicin, and inositol groups returned to Con level. Principal component analysis of TG synthesis, decomposition, and transport related genes showed that dietary bile acid and inositol supplementation had the best effect on the recovery of BPA-induced lipid metabolism disorder, followed by allicin and resveratrol. …”
Get full text

Volatile Profile Characterization of Winter Jujube from Different Regions via HS-SPME-GC/MS and GC-IMS by Yening Qiao, Jinfeng Bi, Qinqin Chen, Xinye Wu, Min Gou, Haonan Hou, Xinwen Jin, Giorgia Purcaro

“…Benzyl alcohol, octanoic acid, 2-hexenal, linalool, 2-nonenal, and ethyl decanoate were the most common compounds present in all jujubes. Principal component analysis (PCA) from GC-IMS and untargeted E-nose showed that the main volatile organic compounds (VOCs) of most jujubes were similar. …”
Get full text

Analysis of Flavor Differences in Yak Milk Powder at Different Milk Production Stages by Headspace Solid-Phase Microextraction and Gas Chromatography–Mass Spectrometry by Diandian Wang, Yaxi Zhou, Jian Zhao, Yu Guo, Wenjie Yan

“…Compared to YCSP and YEMP, YMMP contained higher levels of acids and esters, while the levels of alkanes and alcohols were lower. Principal component analysis (PCA), orthogonal partial least squares discriminant analysis (OPLS-DA), and hierarchical clustering heatmap analysis revealed a high degree of differentiation and notable variation in volatile compounds between the samples from different lactation periods. …”
Get full text

MAO-B Polymorphism Associated with Progression in a Chinese Parkinson’s Disease Cohort but Not in the PPMI Cohort by Shi-Shuang Cui, Ling-Yu Wu, Gen Li, Juan-Juan Du, Pei Huang, Jin Liu, Yun Ling, Kang Ren, Zhong-Lue Chen, Sheng-Di Chen

“…Progression rates of multiple assessments were combined by using principal component analysis (PCA) to derive scores for composite, motor, and nonmotor progression. …”
Get full text

Detection of serum composition in pediatric inflammatory multisystem syndrome associated with SARS-CoV-2 and the response for the treatment by FTIR by Joanna Depciuch, Izabela Sieminska, Pawel Jakubczyk, Bartosz Klebowski, Katarzyna Ptak, Izabela Szymońska, Przemko Kwinta, Maciej Siedlar, Jan Jakub Kęsik, Magdalena Parlinska-Wojtan, Jarek Baran

“…The results suggest that although the Principal Component Analysis (PCA) of FTIR data did not allow for differentiation of healthy children and children with PIMS before and after the treatment, the implementation of Support Vector Machine (SVM) showed that the accuracy of the FTIR region between 800 cm− 1 and 1800 cm− 1 in PIMS detection is as high as 92% with a sensitivity of 100%. …”
Get full text

Integrating Drone Truthing and Functional Classification of Remote Sensing Time Series for Supervised Vegetation Mapping by Giacomo Quattrini, Simone Pesaresi, Nicole Hofmann, Adriano Mancini, Simona Casavecchia

“…This study proposes an approach to enhance the efficiency of supervised vegetation mapping in complex landscapes, integrating Multivariate Functional Principal Component Analysis (MFPCA) applied to the Sentinel-2 time series with drone-based ground truthing. …”
Get full text

Evaluation of Groundwater for Arsenic Contamination Using Hydrogeochemical Properties and Multivariate Statistical Methods in Saudi Arabia by Abdullah S. Al-Farraj, Mohammad I. Al-Wabel, Mohamed Hamza El-Saeid, Ahmed H. El-Naggar, Zaheer Ahmed

“…The groundwater types were mainly Ca+2-Mg+2-SO4-2-Cl− and Na+-Cl−-SO4-2, accounting for 67% of the total composition. Principal component analysis (PCA) showed that the main source of arsenic release was geothermal in nature and was linked to processes similar to those involved in the release of boron. …”
Get full text

Assessment of sugar beet agricultural practices for sustainable production under semi-arid environments by Lamy Mamdoh Mohamed Hamed, Mohamed Mohamed Mahmoud El-Manhaly, Mohamed Saeed El-Kady, Mohamed Mohamed El-Mogy, Hossam Saad El-Beltagi, Eman Ibrahim Refaie Emara

“…Treatments included two soil coverings (black polyethylene mulch vs. no mulch), two planting methods (manual vs. small planter) and four sugar beet varieties (two monogerm: Slama and Gustav, and two multigerm: Faten and Halawa). Principal component analysis (PCA) was used to identify key traits contributing to performance differences. …”
Get full text

Reduced‐Order Probabilistic Emulation of Physics‐Based Ring Current Models: Application to RAM‐SCB Particle Flux by Alfredo A. Cruz, Rashmi Siddalingappa, Piyush M. Mehta, Steven K. Morley, Humberto C. Godinez, Vania K. Jordanova

“…Focusing on a subset of particle flux, we use Principal Component Analysis for dimensionality reduction and Long Short‐Term Memory (LSTM) neural networks to perform dynamic modeling. …”
Get full text

Geodetic Evidence of the Interannual Fluctuations and Long-Term Trends Over the Antarctic Ice Sheet Mass Change by Yuanjin Pan, Xiaohong Zhang, Jiashuang Jiao, Hao Ding, C. K. Shum

“…The nonlinear variation of GPS-inferred vertical land motion (VLM) and the influence of surface elastic load are of particular concern. The principal component analysis method is utilized to extract common mode signals from GPS time series, while correcting for various surface loads. …”
Get full text

Urdu Handwritten Characters Data Visualization and Recognition Using Distributed Stochastic Neighborhood Embedding and Deep Network by Mujtaba Husnain, Malik Muhammad Saad Missen, Shahzad Mumtaz, Dost Muhammad Khan, Mickäel Coustaty, Muhammad Muzzamil Luqman, Jean-Marc Ogier, Hizbullah Khattak, Sikandar Ali, Ali Samad

“…We performed three tasks in a disciplined order; namely, (i) we generated a state-of-the-art dataset of both the Urdu handwritten characters and numerals by inviting a number of native Urdu participants from different social and academic groups, since there is no publicly available dataset of such type till date, then (ii) applied classical approaches of dimensionality reduction and data visualization like Principal Component Analysis (PCA), Autoencoders (AE) in comparison with t-Stochastic Neighborhood Embedding (t-SNE), and (iii) used the reduced dimensions obtained through PCA, AE, and t-SNE for recognition of Urdu handwritten characters and numerals using a deep network like Convolution Neural Network (CNN). …”
Get full text

Deep learning models reveal the link between dynamic brain connectivity patterns and states of consciousness by Chloé Gomez, Lynn Uhrig, Vincent Frouin, Edouard Duchesnay, Béchir Jarraya, Antoine Grigis

“…First, compared with probabilistic principal component analysis and sparse VAE, we showed that the selected low-dimensional VAE exhibits balanced performance in reconstructing dFCs and classifying brain patterns. …”
Get full text

Xanthohumol and echinocystic acid induces PSTVd tolerance in tomato by Wenkun Tang, Zhichao Tang, Haiyi Liu, Jinbiao Lu, Qianyun Du, Huan Tian, Jingwei Li

“…The platform of liquid chromatography‐mass spectrometry detected 158 or 123 differential regulated metabolites in modes of positive ion or negative ion. Principal component analysis revealed a clear separation of the global metabolite profile between PSTVd‐infected leaves and control regardless of the detection mode. …”
Get full text

Transcriptome analysis of novel B16 melanoma metastatic variants generated by serial intracarotid artery injection by Jenny C. Kienzler, Erick M. Contreras, Janet Treger, Linda M. Liau, Geoffrey C. Owens, Robert M. Prins

“…Gene set enrichment analysis (GSEA) of differentially expressed protein coding genes revealed that cells isolated from the brain as well as from the lung and meninges expressed higher levels of genes associated with an epithelial to mesenchymal transition (EMT), upregulation of the KRAS signaling pathway, and a metastasis aggressiveness gene signature associated with poor survival in melanoma patients. Principal component analysis of differentially expressed genes showed that 4th generation melanoma cells isolated from the brain, lung and meninges from one lineage were distinct from those of the other three lineages. …”
Get full text

Determination and Difference Analysis of Phenolic Compounds in Smokers’ Saliva and Mainstream Smoke by Xiaoxi Si, Jianyun Yang, Fengmei Zhang, Ruizhi Zhu, Chunbo Liu, Wei Jiang, Qingpeng Shen, Pei He, Shiyun Tang, Zhenjie Li, Zhihua Liu, Junheng You, Zhang Di

“…The predominant phenolic compound in mainstream smoke was dihydroxybenzene, while monophenols predominated in smokers’ saliva. (4) The contents of phenolic compounds from five kinds of cigarettes were analyzed in the saliva of different smokers using principal component analysis, which indicated that cigarettes with different sensory effects were clearly distinguished by differences in the contents of phenolic compounds in saliva.…”
Get full text

Exploring Traditional Knowledge and Potential Uses of Local Freshwater Algae and Aquatic Plants in Thai Wetland Communities by Pasin Norkum Ai, Angkhana Inta, Sarana Rose Sommano, Kittiya Phinyo, Kritsana Duangjan, Tibet Tangpao

“…The collected data highlighted traditional ecological knowledge held primarily by older community members. Principal component analysis (PCA) was employed to analyse generational differences in knowledge and utilisation, focusing on the potential generational knowledge gap due to migration trends among younger individuals. …”
Get full text

London Rocket (<i>Sisymbrium irio</i> L.) as Healthy Green: Bioactive Compounds and Bioactivity of Plants Grown in Wild and Controlled Environments by Tarik Chileh-Chelh, Tatiana Pagan Loeiro da Cunha-Chiamolera, Miguel Urrestarazu, Mohamed Ezzaitouni, Rosalía López-Ruiz, Cinthia Nájera, Miguel Ángel Rincón-Cervera, José Luis Guil-Guerrero

“…The MTT assay showed that ethanol extracts from wild plants weakly inhibited HT-29 cell growth, with a GI₅₀ of 210–380 µg mL⁻¹ after 72 h of cells exposure to plant extracts. Principal Component Analysis suggested that EC and UV exposure increase the antioxidant activity, total phenolics, and glucosinolates in wild plants, offering insights into the bioactive profiles of <i>S. irio</i> leaves.…”
Get full text

Quantification of modal mineralogy in molybdenite-bearing drill-core samples by laser-induced breakdown spectroscopy by Jonnathan Álvarez, Germán Velásquez, Iván Arévalo, Jorge Yáñez, Claudio Sandoval-Muñoz, Benjamín Sepúlveda

“…Our proof of concept combines previously described mineralogy with a detailed spectroscopic and principal component analysis. The selected spectral signals are defined as “mineralogical patterns”, which are processed using supervised chemometrics methods, such as artificial neural networks, to enable an automated mineral classification. …”
Get full text

Comprehensive Analysis of Metabolic Changes in Mice Exposed to Corilagin Based on GC-MS Analysis by Xu B, Wang C, Zhu X, Zhu L, Han G, Cui C

“…We identified the differential metabolites by multivariate analyses, which include principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA). …”
Get full text