A report on the physicochemical and antioxidant properties of three Indonesian forest honeys produced by Apis dorsata by Mahani, Pamungkas Rizki Ferdian, Habil Muhammad Ghibran, Amirah Fathia Herlina, Siti Nurhasanah, Nunung Nurjanah, Rizki Rabeca Elfirta, Avry Pribadi, Raden Lia Rahadian Amalia, I Made Samudra

“…Antioxidant properties, assessed through total phenolic content (TPC), total flavonoid content (TFC), DPPH radical scavenging activity, ascorbic acid equivalent antioxidant capacity (AEAC), and ferric reducing power (FRP), revealed significant regional variability. Principal component analysis (PCA) distinguished honey samples based on these attributes. …”
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Hydrochemical characteristics, water quality and diatom assemblage in Dordi River, Nepal by Punam Phuyal, Shraddha Ranabhat, Sanjal Khatri, Nabin Lamichhane, Ramesh Raj Pant, Lal Bahadur Thapa, Ram Kailash Prasad Yadav

“…Piper plot, Gibbs plot, Mixing plots, redundancy analysis, and principal component analysis were applied for evaluating the spatial variation of anions and cations in water. …”
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The Association of General and Central Obesity with Dietary Patterns and Socioeconomic Status in Adult Women in Botswana by Boitumelo Motswagole, Jose Jackson, Rosemary Kobue-Lekalake, Segametsi Maruapula, Tiyapo Mongwaketse, Lemogang Kwape, Tinku Thomas, Sumathi Swaminathan, Anura V. Kurpad, Maria Jackson

“…The dietary patterns were identified using principal component analysis, and their associations with the body mass index and the weight-for-height ratio were examined. …”
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Insights of cellular and molecular changes in sugarcane response to oxidative signaling by Lucas Felipe Silva, Kellya F. M. Barreto, Helaine Cristiane Silva, Iara Dantas de Souza, Carlos H. S. G. Meneses, Adriana F. Uchôa, Katia C. Scortecci

“…Bioinformatics, including Principal Component Analysis, revealed distinct proteomic profiles in roots and leaves, indicating tissue-specific metabolic reprogramming. …”
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Salivary Protein Profile and Food Intake: A Dietary Pattern Analysis by Teresa Louro, Carla Simões, Wilmara Lima, Laura Carreira, Paula Midori Castelo, Henrique Luis, Pedro Moreira, Elsa Lamy

“…To identify the dietary patterns, a principal component analysis was used. Individual’s non-stimulated saliva was evaluated for flow rate, pH, protein concentration, α-amylase activity, and electrophoretic protein profiles. …”
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Determination of genetic diversity in persimmon accessions using morphological and inter simple sequence repeat markers by Yazgan Tunç, Canan Aydınlıoğlu, Kadir Uğurtan Yılmaz, Ali Khadivi, Daya Shankar Mishra, El Hassan Sakar, Tomáš Vyhnánek

“…Fruit weight, length, and diameter varied greatly, with strong positive correlations between fruit weight and other traits. Principal component analysis explained 72.42% of the total variance, while cluster analysis showed varying levels of similarity among accessions. …”
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Effects of different thermal processing methods on bioactive components, phenolic compounds, and antioxidant activities of Qingke (highland hull-less barley) by Qingyue Hong, Guangjing Chen, Zhirong Wang, Xuhui Chen, Jianquan Kan

“…Overall, 6 free phenolic compounds and 12 bound phenolic compounds of Qingke were identified, and free phenolic compounds suffered more damage during thermal processing. Principal component analysis showed that SE had more advantages in retaining and improving the main biological active ingredients of Qingke, and it may be the best method for treating Qingke.…”
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Application of Clustering and Stepwise Discriminant Analysis Based on Hydrochemical Characteristics in Determining the Source of Mine Water Inrush by Weitao Liu, Jie Yu, Jianjun Shen, Qiushuang Zheng, Mengke Han, Yingying Hu, Xiangxi Meng

“…So, the roof and floor of coal seam were more similar in water quality types due to the conduction of faults. Using principal component analysis (PCA) to the raw data, two principal components were extracted, and the principal component scores were used as clustering variables for hierarchical cluster analysis (HCA), 5 groups of abnormal water samples were eliminated and 3 clustering groups M1, M2 and M3 were obtained from the other water samples on the tree diagram. …”
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Dissecting Cowpea Genetic Variability under Moisture Stress Conditions and Implications for Drought Tolerance Breeding by Mary Singini, Michael M. Chipeta, Keston Njira, Lameck Fiwa

“…The results indicated that the locations (environments) used in the study were distinct and the genotypes evaluated presented differentiated performance in response to environmental variations. Principal component analysis based on the rank correlation matrix and the Pearson product-moment correlation coefficient revealed that most of the drought tolerant indices (MP, GMP, HM, YI, and STI) used were highly correlated with yield under stress and nonstress conditions which suggested that they are ideal for selecting drought tolerant genotypes that are stable and high yielding. …”
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Constructing a potential HLA haplo-homozygous induced pluripotent stem cell haplobank using data from an umbilical cord blood bank by Ji He, Yanmin He, Qigang Zhan, Zhipan Wu, Qi Sheng, Wei Zhang, Faming Zhu

“…The analysis showed that 100 distinct HLA-A, -B, and -DRB1 and HLA-A, -B, -C, -DRB1, and -DQB1 homozygous haplotypes would cover 72.74% and 67.87% of Chinese populations, respectively, and 600 HLA-A, -B, -C, -DRB1, and -DQB1 homozygous haplotypes would cover more than 90% of Chinese populations. PCA (principal component analysis) of published HLA data from different populations revealed that the frequency of these haplotypes in Asian populations is different from those in European populations. …”
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Investigation of Machinability Characteristics of EDMed Inconel 825 Alloy under Multidimensional Parametric Modeling by Using Holistic Grey-PCA Statistical Models by Nitin Kumar Sahu, Mukesh Kumar Singh, Bupe Getrude Mutono-Mwanza, Atul Kumar Sahu

“…Later, to potentially access the results, the authors integrated the computational Taguchi methodology with dual models which is called as Taguchi-grey relational analysis (T-GRA) and Taguchi-principal component analysis (T-PCA). The optimum setting condition among considered inputs is discussed in the conclusion section. …”
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Risk of Selected Fetal Adverse Pregnancy Outcomes at Advanced Maternal Age: A Retrospective Cohort Study in Debre Markos Referral Hospital, Northwest Ethiopia by Bikila Tefera Debelo, Melaku Hunie Asratie, Abayneh Aklilu Solomon

“…Binary logistic regression (bivariate and multivariable) model was fitted, and wealth index was analyzed by principal component analysis. Adjusted relative risk with respect to 95% confidence interval was employed for the strength and directions of association between advanced maternal age and selected adverse pregnancy outcomes, respectively. …”
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Nutrient Release Pattern and Greenhouse-Grown Swiss Chard Response to Biochar Inoculated with Vermicast by Lord Abbey, Jinsheng Cai, Lokanadha R. Gunupuru, Mercy Ijenyo, Ebenezer O. Esan, Suwen Lin

“…A 2-dimensional principal component analysis (PCA) biplot confirmed that treatment Pro-BX increased plant growth components at the first harvest only. …”
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Climate variability, population growth, and globalization impacting food security in Pakistan by Sohail Abbas, Ahtisham Haider, Shazia Kousar, Heli Lu, Siqi Lu, Fang Liu, Huan Li, Changhong Miao, Wanfu Feng, Muhammad Irfan Ahamad, Muhammad Sajid Mehmood, Rana Muhammad Zulqarnain

“…A two-layer principal component analysis was utilized to develop the food security index. …”
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Feasibility Study of the Use of Handheld NIR Spectrometer for Simultaneous Authentication and Quantification of Quality Parameters in Intact Pineapple Fruits by Charles L. Y. Amuah, Ernest Teye, Francis Padi Lamptey, Kwasi Nyandey, Jerry Opoku-Ansah, Peter Osei-Wusu Adueming

“…After attempting several preprocessing techniques, multivariate calibration models were built using principal component analysis (PCA), K-nearest neighbor (KNN), and linear discriminant analysis (LDA) to identify the classes (organic and conventional pineapple fruits) while partial least squares regression (PLSR) method was used to determine TSS of the fruits. …”
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Accumulation and Transport of Cd, Pb, As, and Cr in Different Maize Varieties in Southwest China by Qi Liu, Sheng Wang, Jijiang Zhou, Li Bao, Wenbing Zhou, Naiming Zhang

“…We analyzed the absorption, accumulation, and transport characteristics of Cd, Pb, As, and Cr in various parts of the maize plant (Hg was not detected in any part of maize plants) and explored the relationships of HM contents in different parts of maize with soil HM contents through cluster analysis, correlation analysis, and principal component analysis. The results indicated that among different biological traits of maize, root length, root dry weight, and plant height were the most significantly influenced by soil HM content, while stem dry weight was the least affected. …”
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Characterizing out-of-distribution generalization of neural networks: application to the disordered Su–Schrieffer–Heeger model by Kacper Cybiński, Marcin Płodzień, Michał Tomza, Maciej Lewenstein, Alexandre Dauphin, Anna Dawid

“…Here, we show how the informed use of an interpretability method called class activation mapping, and the analysis of the latent representation of the data with the principal component analysis can increase trust in predictions of a neural network (NN) trained to classify quantum phases. …”
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Inflammatory biomarkers profiles and cognition among older adults by Aline Thomas, Jing Guo, Dolly Reyes-Dumeyer, Danurys Sanchez, Nikolaos Scarmeas, Jennifer J. Manly, Adam M. Brickman, Rafael A. Lantigua, Richard Mayeux, Yian Gu

“…We explored 23 circulating inflammatory biomarkers using data from 1,743 participants without dementia (≥ 65 years-old) from the community-based, multiethnic Washington Heights Inwood Columbia Aging Project. Using principal component analysis (PCA), we developed six inflammatory profiles (PC-1 to PC-6) based on these 23 biomarkers and tested the association of resulting inflammatory profile with cognitive decline, over up to 12 years of follow-up. …”
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Investigating the Effectiveness of Coal-Fired Power Plant Operations: Management, Technical and Air Pollution Aspects by Zamzam T. A. Ramly, Mohd Y. Ishak, Ahmad M. Abdullah, Marzuki Ismail, Samsuri Abdullah, Amalina Abu Mansor

“…The questionnaire covered five areas: best management practices, technology efficiency, cost efficiency, fuel efficiency, air pollution control, and the best available technique. Principal Component Analysis (PCA) was used to simplify large data sets. …”
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A Psychometric Analysis of the Polish Online Version of the Aging Semantic Differential Scale (ASD) by Puto G, Wadelska-Kaczmarek A, Muszalik M

“…Theoretical validity of the scale was assessed using principal component analysis (PCA) with Oblimin rotation with delta parameter equal to 0 and Kaiser normalization. …”
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