Analytical Differentiation of Wines from Three Terroirs Located in a Warm Winegrowing Area Based on Their Volatilome by José Miguel Fuentes-Espinosa, Raquel Muñoz-Castells, Jaime Moreno-García, Teresa García-Martínez, Juan Carlos Mauricio, Juan Moreno

“…Statistical tools, such as Multiple Variable Analysis (MVA) and Principal Component Analysis (PCA), were employed to identify significant differences in the volatilomes of wines. …”
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Effect of Different Primary Processing Methods on Flavor Compounds and Sensory Characteristics of Coffee Beans by Ke XIAO, Huinan ZHAI, Rongsuo HU, Xinxin YU, Wenjiang DONG

“…The sensory flavor of coffee samples from different primary processing methods were evaluated by E-nose and sensory evaluation, principal component analysis (PCA) was used to differentiate different primary processing methods, and Pearson's correlation coefficients were used to analyze the relationship between the primary processing methods and the flavor compounds produced. …”
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Information Geometry and Manifold Learning: A Novel Framework for Analyzing Alzheimer’s Disease MRI Data by Ömer Akgüller, Mehmet Ali Balcı, Gabriela Cioca

“…Preprocessed images were reduced via Principal Component Analysis (retaining 95% variance) and converted into statistical manifolds using estimated mean vectors and covariance matrices. …”
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Ciprofloxacin stress changes key enzymes and intracellular metabolites of Lactobacillus plantarum DNZ-4 by Pin Chen, Xiaoqian Chen, Wei Yu, Bo Zhou, Lihua Liu, Yuzhuo Yang, Peng Du, Libo Liu, Chun Li

“…Gas chromatography-mass spectrometry was used to analysis the changes of main metabolites in the cells and principal component analysis and partial least square model were constructed. …”
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Parameters Influencing Sulfur Speciation in Environmental Samples Using Sulfur K-Edge X-Ray Absorption Near-Edge Structure by Siwatt Pongpiachan, Kanjana Thumanu, Charnwit Kositanont, Klaus Schwarzer, Jörg Prietzel, Phoosak Hirunyatrakul, Itthipon Kittikoon

“…The combination of hierarchical cluster analysis (HCA) and principal component analysis (PCA) has proved that sulfur K-edge XANES spectrum can be used to characterize German terrestrial soils and Andaman coastal sediments. …”
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Developing soil quality indices to investigate degradation impacts of different land use types in Northern Ethiopia by Araya Kahsay, Mitiku Haile, Girmay Gebresamuel, Muktar Mohammed

“…To screen MDS and TDS members, one-way analysis of variance and principal component analysis were applied. Twenty-two soil indicators responsible to changes in land use were screened as members of TDS. …”
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Predicting the Botanical Origin of Honeys with Chemometric Analysis According to Their Antioxidant and Physicochemical Properties by Anna Maria Kaczmarek, Małgorzata Muzolf-Panek, Jolanta Tomaszewska-Gras, Piotr Konieczny

“…The aim of this study was to develop models based on Linear Discriminant Analysis (LDA), Classification and Regression Trees (C&RT), and Artificial Neural Network (ANN) for the prediction of the botanical origin of honeys using their physicochemical parameters as well as their antioxidative and thermal properties. Also Principal Component Analysis (PCA) and Cluster Analysis (CA) were performed as initial steps of data mining. …”
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Influence of Frying Methods on Quality Characteristics and Volatile Flavor Compounds of Giant Salamander (Andrias davidianus) Meatballs by Wengang Jin, Jinjin Pei, Xiaohua Chen, Jingzhang Geng, Dejing Chen, Ruichang Gao

“…Compared with the samples before frying, the relative contents of aldehydes and ketones of fried giant salamander meatballs increased significantly, while the relative contents of esters and alkenes decreased significantly. Principal component analysis showed that the GC-IMS spectra of volatile flavor compounds before and after deep fat frying and hot air frying varied greatly, and the cumulative contribution rate of the two principal components reached 86.1%, indicating that the GC-IMS technology might be used to distinguish giant salamander meatballs before and after frying, or with different frying methods. …”
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Hybrid intelligence framework for optimizing shear capacity of lightweight FRP-reinforced concrete beams by Iman Faridmehr, Moncef L. Nehdi, Mohammad Ali Sahraei, Kiyanets Aleksandr Valerievich, Chiara Bedon

“…Notably, for beams without stirrups, model predictions closely matched experimental data, with a lower average ratio (1.02) compared to Eurocode (1.65) and ACI (1.58). Principal Component Analysis (PCA) has elucidated the intricate interactions among variables, thereby deepening insights into the structural dynamics of FRP-RC beams. …”
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PHENOTYPIC CHARACTERISATION OF F1 HYBRIDS DERIVED FROM CROSS-BREEDING DOUBLE AND SINGLE PETUNIAS (PETUNIA HYBRIDA) by A. A. Sharef, J. M. Faraj, H. A. Mustafa, H. S. Othman, N. H. Abdul, N. H. Samsulrizal

“…Based on the coefficient of variation (CV) and box plot analysis, the flower diameters showed more variability than other traits. Principal Component Analysis (PCA) revealed distinct patterns and associations among phenotypic traits. …”
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Proteomic and Metabolomic Characterization of Metabolically Healthy Obesity: A Descriptive Study from a Swedish Cohort by J. Korduner, P. M. Nilsson, O. Melander, M. J. Gerl, G. Engström, E. Bachus, M. Magnusson, F. Ottosson

“…Associations between different biomarkers (proteomics, lipidomics, and metabolomics) coupled to either MHO or metabolically unhealthy obese (MUO) individuals were analyzed through principal component analysis (PCA). Subjects were identified from a subsample of 416 obese individuals, selected from the Malmö Diet and Cancer study—Cardiovascular arm (MDCS-CV, n = 3,443). …”
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Elucidating the molecular basis of salt tolerance in potatoes through miRNA expression and phenotypic analysis by Caicai Lin, Shuangshuang Zheng, Kui Liu, Ru Yu, Peiyan Guan, Baigeng Hu, Lingling Jiang, Mengyu Su, Guodong Hu, Qingshuai Chen, Xia Zhang

“…This study evaluated the salt tolerance of 17 diverse potato varieties using principal component analysis, membership function analysis, cluster analysis, and stepwise regression analysis. …”
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A retrospective study to understand the differences in maternal mortality among women admitted in critical and stable conditions in Malawi by David Lissauer, James Chirombo, Nara Tagiyeva-Milne, Jennifer Riches, Rosemary Bilesi, Lumbani Makhaza, Laura Munthali, Malangizo Mbewe

“…Lastly, we performed a principal component analysis to reduce dimensionality to identify the main factors leading to deaths.Results Obstetric haemorrhage was the predominant cause of death among women admitted in stable condition, while those admitted in critical condition primarily died of hypertensive disorders. …”
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Volatile profile and multivariant analysis of Sanhuang chicken breast in combination with Chinese 5-spice blend and garam masala by Rani Andaleeb, Danni Zhang, Shui Jiang, Yin Zhang, Yuan Liu

“…The flavour profiles of Sanhuang chicken breast (CB) and its blends with CS and GM were obtained by electronic nose (E-nose), solid-phase microextraction gas chromatography-mass spectrometry (SPME GC-MS) and GC-ion mobility spectrometry (GC-IMS). Principal component analysis (PCA) efficiently discriminated the aroma profiles of three chicken formulations. …”
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Assessment of degraded lands in the Ile-Balkhash region, Kazakhstan by Sanim Bissenbayeva, Ruslan Salmurzauly, Ruslan Salmurzauly, Aigul Tokbergenova, Nazym Zhengissova, Jialuo Xing

“…To achieve the set goal of objectives, a variety of methods were employed, including desertification divided index (DDI) for the identification of desertification dynamics, correlation analysis for the detection of relationships between different indicators, and Principal Component Analysis (PCA) for the modelling of the desertification risk rate in the study area. …”
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Biochemical Charcterization of Some Taro (Colocasia esculenta L. Schott) Germplasm in Ghana by R. Boampong, L. M. Aboagye, D. Nyadanu, M. E. Essilfie, R. Adu Amoah

“…Significant P<0.01 and positive correlations were observed between protein and energy levels; magnesium and iron; magnesium and calcium; and potassium and ash. The Principal Component Analysis (PCA) showed that the first component (PC1) accounted for 96% of variation. …”
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Global, regional, and national survey on burden and Quality of Care Index (QCI) of orofacial clefts: Global burden of disease systematic analysis 1990-2019. by Ahmad Sofi-Mahmudi, Erfan Shamsoddin, Sahar Khademioore, Yeganeh Khazaei, Amin Vahdati, Marcos Roberto Tovani-Palone

“…Subsequently, we conducted a principal component analysis to identify the most critical variables that could account for the observed variability. …”
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Spatiotemporal Variability of Hot Days in Association with the Large-Scale Atmospheric Drivers over Vietnam by Chinh Ta Huu, Tan Phan Van, Khiem Mai Van, Thang Vu Van, Lam Hoang Phuc, Worapong Lohpaisankrit, Quoc Bao Pham, Trinh Trong Nguyen, Phong Nguyen Thanh

“…The European Center for Medium-Range Weather Forecasts (ECMWF) reanalysis version 5 (ERA5) data for the period 1981–2020 are used. Principal component analysis is also applied to the observed monthly NHD to obtain spatial patterns and time series. …”
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Characterization of Genetic Diversity to Ecological Stripe Rust Resistance in Bread Wheat (Triticum aestivum L.) by Khan Mueen Alam, Iqbal Rashid

“…Correlation analysis and principal component analysis showed Plant Height correlates highly and positively with chlorophyll content index, grain per spike, grain filling period, peduncle length, spike length and negatively correlated with spikelet per spike. …”
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The Integration of The Indonesian Stock Market With Developed Stock Markets: Pre- and Post-Covid-19 Pandemic by Tri Purwani, Rahmat Budi Santoso, Ana Kadarningsih

“…The analysis combines Orthogonal Generalized Autoregressive Conditional Heteroscedasticity (OGARCH) and Principal Component Analysis (PCA). Findings/Results: The results show that integration between stock markets was higher in the post-crisis period, indicating an increase in market integration after the Covid-19 pandemic. …”
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