Nest Site Selection by Green Sea Turtles (Chelonia mydas) and Implications for Conservation on Qilianyu, Xisha Islands, South China Sea by Ting Zhang, Xiaoyu An, Chenglong Zhang, Yunteng Liu, Yupei Li, Yangfei Yu, Jichao Wang, Liu Lin, Hai‐Tao Shi

“…To this end, we performed differential comparisons, principal component analysis, and generalized linear model analysis. …”
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Harbor water pollution by heavy metal concentrations in sediments by L. Sulistyowati, Y. Yolanda, N. Andareswari

“…The multivariate statistical analysis on the relationship among factors was conducted using Pearson correlation matrix method, principal component analysis, and cluster analysis.FINDINGS: The environmental quality standards used indicate average concentration of heavy metals; lead (28,869 milligram per kilogram) and copper (8,003 milligram per kilogram) are below the quality standard. …”
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Peering into the Black Box: Forward Modeling of the Uncertainty Budget of High-resolution Spectroscopy of Exoplanet Atmospheres by Arjun B. Savel, Megan Bedell, Eliza M.-R. Kempton, Peter C. B. Smith, Jacob L. Bean, Lily L. Zhao, Kaze W. K. Wong, Jorge A. Sanchez, Michael R. Line

“…Simulating a fiducial hot Jupiter data set (WASP-77Ab emission with IGRINS), we first confirm via multiple tests that the commonly used principal component analysis does not bias the planetary signal when few components are used. …”
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Spatial Distribution Characteristics of Micronutrients and Their Deficiency Effect on the Root Morphology and Architecture in Citrus Rootstock by Gaofeng Zhou, Yiping Fu, Mei Yang, Yanhong Li, Jing Zhang

“…All micronutrient concentrations in the second and third LRs of Ptr were higher than those of Cre, except for the Zn concentration in the second LR, which indicates that Ptr requires more micronutrients to maintain normal root system growth and development. Principal component analysis (PCA) showed that B and P were very close in terms of spatial distribution and that Mo, Mn, Cu, and Fe contributed significantly to PC1, while B, Cu, Mo, and Zn contributed significantly to PC2 in both rootstocks. …”
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Salt tolerance evaluation and key salt-tolerant traits at germination stage of upland cotton by Mengjie An, Xinhui Huang, Yilei Long, Yin Wang, Yanping Tan, Zhen Qin, Xiantao Ai, Yan Wang

“…By calculating the salt tolerance index (STI) of various cotton germination and growth parameters and principal component analysis, combined with the correlation analysis and linear regression between mean membership function value (MFV) and STI, the key indexes of cotton germination and growth under salt stress, including total fresh weight, shoot fresh weight, and shoot length, were determined. …”
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Enhanced characterization of non-metallic inclusions in ultra-high-strength steels using advanced synchrotron-based X-ray absorption spectroscopy and chemometric analysis by Mourad Kharbach, Mohammed Alaoui Mansouri, Ekta Rani, Harishchandra Singh, Tuomas Alatarvas, Brice Sarpi, Lin Zhu, Yuran Niu, Alexei Zakharov, Ilkka Launonen, Marko Huttula, Mikko J. Sillanpaa, Samuli Urpelainen

“…The challenge of assigning calcium phase identities to the spectra extracted by MCR-ALS is addressed using a comprehensive reference database and the Hit Quality Index (HQI), which effectively matches most NMIs before annealing to the calcium phosphate phase. Principal Component Analysis (PCA) and Hierarchical Clustering Analysis (HCA) further elucidate the relationships between calcium phases and NMIs during annealing. …”
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Predictive Validity and Reliability of Frenchay Activities Index by Li TONG, Shanjia CHEN, Guanli XIE, Cai JIANG, Jing TAO, Lidian CHEN

“…Ninety-four subjects were randomly selected within one week and retested by the same assessor.Results:The internal consistency of the Chinese version of the FAI scale was Cronbach's α coefficient of 0.937.The test-retest reliability showed that the intra-group correlation coefficient(ICC)was 0.810(95%<italic>CI</italic>:0.672 to 0.952).In terms of project discrimination, the differences between the high and low group scores of each project were statistically significant(<italic>P</italic>&lt;0.01), and the discrimination of each item in the scale was generally good;the correlation analysis of the entries, dimensions and total scores of the Chinese version of the FAI scale found that the correlation coefficient between the items in the Chinese version of FAI and the total score was in the range of 0.535-0.832(<italic>P</italic>&lt;0.01), and the correlation coefficient of the three dimensions and total scores of household activities, leisure activities and outing activities were 0.867, 0.913, 0.948 respectively(<italic>P</italic>&lt;0.01).The exploratory factor analysis(EFA)was used to test the structural validity of the Chinese version of the FAI scale to a KMO statistic of 0.924 and the Bartlett spherical χ²test to 4535.558(<italic>df</italic>=105, <italic>P</italic>&lt;0.01).Using the principal component analysis method to extract the common factors from the scale, there were three common factors with eigenvalue≥1, the eigenvalue of common factor 1 was 4.776, the contribution rate of variance was 31.842%, and the eigenvalue of common factor 2 was 3.437.The contribution rate of variance was 22.914%, the eigenvalue of common factor 3 was 2.436, the contribution rate of variance was 16.238%, and the cumulative contribution of the three common factors to the total variance was 70.994%.The validity-related validity test showed that the FAI total score was positively correlated with the MBI total score, the correlation was general(<italic>r</italic>=0.322, <italic>P</italic>&lt;0.01), and the three dimensions of FAI(home activities, leisure activities, outing activities)was correlated with the MBI total score, the correlation was general(<italic>r</italic>=0.320, <italic>r</italic>=0.267, <italic>r</italic>=0.319, <italic>P</italic>&lt;0.01).Conclusion:The Chinese version of the Frenchay activities index has good reliability and validity in patients with recovery from stroke hospitalization.…”
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Gene expression changes in blastocyst hatching affect embryo implantation success in mice by Liyou An, Liang Zhang, Yulin Wu, Yadi Teng, Zihan Liu, Meixiang Ma, Miaolong Li, Xinrong Peng, Chenxi Liu

“…To characterize these site differences, we analyzed the transcriptomes in the following developing mouse blastocysts within 16 h of hatching: expanding (E), hatching from the A-site (A), B-site (B), and C-site (C), hatched (H), and non-hatching (N). By principal component analysis and hierarchical cluster analysis, we determined that the gene expression profiles of A and B blastocysts, which resulted in good fertility, clustered closely. …”
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Application of fourier transform infrared vibrational spectroscopy in identifying early biochemical changes in lipid profiles of individuals undergoing Roux-en-y gastric bypass by Amanda Motta de Bortoli, Márcia Helena Cassago Nascimento, Blanca Elena Guerrero Daboin, Beatriz Bobbio de Brito, Luiza Recla Pessotti, Paulo Roberto Filgueiras, Andressa Bolsoni Lopes, Valerio Garrone Barauna, Fabiano Kenji Haraguchi

“…FTIR spectra were pre-processed and analyzed using Principal Component Analysis and Partial Least Squares Discriminant Analysis. …”
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Use of Endemic Date Palm (Phoenix dactylifera L.) Seeds as an Insoluble Dietary Fiber: Effect on Turkey Meat Quality by Mohamed Ali Bouaziz, Brahim Bchir, Tayssir Ben Salah, Abir Mokni, Hajer Ben Hlima, Slim Smaoui, Hamadi Attia, Souhail Besbes

“…Additionally, two multivariate exploratory techniques, namely, Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA), were used to all obtained data describing the main characteristics attributed to refrigerated turkey meat samples. …”
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High-Resolution Satellite Reveals the Methane Emissions from China’s Coal Mines by Xingyu Li, Tianhai Cheng, Hao Zhu, Xiaotong Ye, Donghao Fan, Tao Tang, Haoran Tong, Shizhe Yin, Jingyu Xiong

“…This study uses data from 88 methane emission plumes captured by the EMIT satellite to quantify the methane emission characteristics of 32 coal mines located in Inner Mongolia, Ningxia Hui Autonomous Region, and Shanxi Province, China. Principal Component Analysis reveals that mine size, coal type, and processing stage are key factors influencing methane emissions, with emission rates varying significantly under different conditions. …”
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Ecological niche and phenotypic differences among two alpine Rhododendron species and their natural hybrids in a common landscape by Yanghui Zhao, Ying Zhang, Liang Xu, Yadan Yan, Chuncheng Wang, Yafeng Wen, Donglin Zhang

“…We utilized principal component analysis, one-way analysis of variance, and niche-identity tests to summarize and compare environmental and phenotypic divergence. …”
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Source distribution, ecological risks, and controlling factors of heavy metals in river sediments: Receptor model-based study in a transboundary river basin by Abu Reza Md Towfiqul Islam, Abu Hena Md Fazla Rabbi, Amit Hasan Anik, Rahat Khan, Md Abdullah Al Masud, Grara Nedjoud, Abubakr M. Idris, Md Naimur Rahman, Venkatramanan Senapathi

“…Validation of the PMF model through Spearmen correlation and principal component analysis (PCA) reveals a consistent pattern, affirming its efficacy in this analysis. …”
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Computational analysis of reproducibility and image quality of 2011 and 2017 models of Heidelberg Spectralis SD-OCT machines by Kyoung A Viola Lee, Corey Tesdahl, Keith Zimmerman, Kimberly Jun, Sabrina Khalil, Alexander Shahin, Abdullah Abou-Samra, Ramesh Ayyala, Radouil Tzekov

“…The dimensionality reduction techniques Principal Component Analysis (PCA) and Multidimensional Scaling (MDS) were employed to explore data patterns. …”
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Global assessment of leukemia care quality: insights from the quality of care index (QCI) from 1990 to 2021Research in context by Yuzhe Pan, Qian Liu, Nan Zhang, Shuang Peng, Xinqi Li, Fuling Zhou

“…The QCI was constructed using principal component analysis, based on the weighted variances of key indicators. …”
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Interference of a phytoconstituent from Nymphaea lotus-derived ligand N-acetyl glucosamine with signaling receptors in diabetes mellitus development: A targeted computational analy... by Sunday Amos Onikanni, Tran Nhat-Phong Dao, Adewale Oluwaseun Fadaka, Halliru Zailani, Oluwafemi Shittu Bakare, Omolola Esther Amos, Ashwil Klein, Valens Munyembaraga, Morenike Grace Ajayi, Adebola Iyabode Akinjokun, Babatunji Emmanuel Oyinloye, Leandro Miranda-Alves

“…Molecular dynamics simulation, principal component analysis, and free energy landscape analysis showed that the binding affinity of the Nymphaea lotus complex was higher than that of reference ligands. …”
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Rainy and Dry Seasons Are Relevant Factors Affecting Chemical and Antioxidant Properties of Meliponini Honey by Flavia C. Lavinas, Brendo A. Gomes, Marcos V. T. Silva, Raissa Lima, Suzana G. Leitão, Mirian R. L. Moura, Rosineide C. Simas, Renata F. Barbosa, Fabricio O. Silva, Carla S. Carneiro, Igor A. Rodrigues

“…Chemometric tools were used for the samples’ discriminating analyses, including Principal Component Analysis (PCA) and Partial Least Squares–Discriminant Analysis (PLS-DA). …”
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Metabolic profiling of Perilla leaves of different colors: insights into metabolite variation and bioactive compound distribution by Senouwa Segla Koffi Dossou, Qianchun Deng, Feng Li, Lei Wang, Nanjun Jiang, Habtamu Kefale, Rong Zhou, Donghua Li, Meilian Tan, Linhai Wang

“…In contrast to green leaves, the principal component analysis and correlation analysis revealed a considerable influence of genotypes for the variation in purple leaves’ metabolite profiles. …”
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Evolution paths of urban forms influenced by landforms: Asynchrony but convergence by Chao Yang, Qiyan Huang, Qiong Xian, Meng Yuan, Xiaoming Cong, Lisha Xun, Jianxiong Cheng, Hongyi Pan

“…From 1990 to 2020, we quantitatively describe urban form characteristics using the two new indices alongside the landscape pattern index. Principal component analysis and hierarchical clustering are then employed to classify urban form types, revealing evolution patterns and trends across various landforms. …”
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Signatures of H3K4me3 modification predict cancer immunotherapy response and identify a new immune checkpoint-SLAMF9 by Tao Fan, Chu Xiao, Ziqin Deng, Shuofeng Li, He Tian, Yujia Zheng, Bo Zheng, Chunxiang Li, Jie He

“…Using the principal component analysis (PCA) of H3K4me3-related patterns, we constructed a H3K4me3 risk score (H3K4me3-RS) system. …”
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