A Deep-learning based Model with Intra- and Inter-Well Constraints for Intelligent Identification of Stratigraphic Layers by Jinghua Yang, Bin Gong, Hu Huang, Heng Zhao, Haoqiang Wu, Chen Liu, Shifan Zhang, Hui Li

“…The proposed approach begins with principal component analysis (PCA) to reduce the dimensionality of logging parameters while retaining key geological features. …”
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Non-destructive textural quality assessment of peaches and nectarines using near-infrared spectroscopy integration time by Eva Cristina Correa, Paola Baltazar, Pilar Barreiro, Natalia Hernández-Sánchez, Lourdes Lleó, Ángela Melado-Herreros, Belén Diezma

“…Samples underwent both non-destructive NIR spectroscopy (with integration times adjusted for optimal signal-to-noise ratio) and destructive tests, including the Magness-Taylor firmness test and juiciness measurements on absorbent paper. A principal component analysis (PCA) was used to analyze textural variability, and discriminant function analysis (DFA) and artificial neural networks (ANNs) were applied to classify fruit firmness levels.PCA effectively defined a new variable, PC1, that captured the variance in fruit texture, correlating positively with juiciness and negatively with firmness. …”
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Exploring the impact of urban green spaces on wellbeing in Prishtina, Kosovo by Visar Hoxha, Binak Beqaj

“…Data from 384 respondents, collected through stratified random sampling, were analysed using the principal component analysis and regression techniques. …”
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Distribution, origins, impact factors and ecological risks of metallic elements in the sediment from Changhua River estuary, Hainan Island, China by Jiyong Ma, You Gou, Zeheng Chen, Kaizhe Fu, Dongming Wu, Dayu Bian, Jianhua Guo, Shiyou Zhang, Zhuang Xing, Dongxu Jiang

“…The assessment focused on pollution characteristics, spatial distribution, and ecological risks, while also identifying potential origins of metallic elements through the application of correlation analysis, principal component analysis (PCA), and Positive Matrix Factorization (PMF) models. …”
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Synergistic co-metabolism enhancing the crude oil degradation by Acinetobacter oleivorans DR1 and its metabolic potential by Lairenjam Paikhomba Singha, Renuka Kumari, Keisam Malabika Singha, Piyush Pandey, Pratyoosh Shukla

“…This demonstrated that glucose may not be the preferred carbon and energy source, but it still significantly influences hydrocarbon metabolism through increased synthesis of fatty acids and low molecular weight organic acids (glutaric, citric, and tartaric acid, etc.). Principal component analysis revealed the distinct clusters of metabolites among the culture conditions, highlighting the minimal effect of biosurfactant. …”
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Influence and Mechanism of Fertilization and Irrigation of Heavy Metal Accumulation in Salinized Soils by Dandan Yu, Qingfeng Miao, Haibin Shi, Zhuangzhuang Feng, Weiying Feng, Zhen Li, José Manuel Gonçalves

“…Compared to no irrigation, supplemental irrigation of 22 mm during the grain-filling stage increased soil surface Cd content, Zn content, and the potential ecological risk index (HRI) by 10.2%, 3.1%, and 8%, respectively, while simultaneously reducing the heavy metal content in grains by 12–13.5% and decreasing heavy metal enrichment. Principal component analysis revealed the primary factors influencing Cu and Zn residues and Cd accumulation in the crop grains. …”
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Characterization of Volatile Organic Compounds and Aroma Sensory Properties in Yunnan Cigar by Yuping Wu, Haiyu Zhang, Wenyuan Wang, Guanghui Kong, Zaiming Li, Tikun Zhang, Miaochang Wang, Dong Yang, Chengming Zhang, Yongping Li, Jin Wang

“…To characterize volatile organic compounds (VOCs) and aromatic sensory properties in Yun cigar, 27 samples from four origins were analyzed using SPME–HS–GC/MS and sensory analysis. The investigation results were analyzed using principal component analysis (PCA), Fisher linear discriminant analysis (LDA), and Pearson correlation analysis. …”
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Morphological variability of otolith organs in three congeneric Pagellus species by Bostanci Derya, Yedier Serdar, Türker Dilek, Işmen Ali

“…The results of principal component analysis (PCA) of the wavelet data provided a clear distinction between the groups under study. …”
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Low blood levels of selenium, selenoprotein P and GPx3 are associated with accelerated biological aging: results from the Berlin Aging Study II (BASE-II) by Valentin Max Vetter, Kamil Demircan, Jan Homann, Thilo Samson Chillon, Michael Mülleder, Orr Shomroni, Elisabeth Steinhagen-Thiessen, Markus Ralser, Christina M. Lill, Lars Bertram, Lutz Schomburg, Ilja Demuth

“…This association remained statistically significant after adjustment for age, sex, BMI, smoking, and first four genetic principal components (β = − 0.02, SE = 0.01, 95% CI − 0.034 to − 0.004, p = 0.012, n = 757). …”
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Longitudinal characterization of the muscle metabolome in dairy cows during the transition from lactation cessation to lactation resumption by H. Sadri, M.H. Ghaffari, H. Sauerwein, S. Schuchardt, J. Martín-Tereso, John Doelman, J.B. Daniel

“…The targeted metabolomics approach was conducted using the MxP Quant 500 kit (Biocrates Life Sciences AG) with liquid chromatography, flow injection, and electrospray ionization triple quadrupole mass spectrometry. Statistical analysis on the muscle metabolite data was performed using MetaboAnalyst 5.0, which allowed us to conduct various multivariate analyses such as principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), informative heat map generation, and hierarchical clustering. …”
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Calcium significantly improves the fruit quality of red-flesh ‘Hongyang’ kiwifruit by Zhen-Cheng Han, Yi Yang, Hou-Xi Chen, Chong Luo, Wei-Jie Li

“…A comprehensive evaluation of all the related functional values and principal component analysis revealed that the highest comprehensive score (5.09) of fruit quality of 'Hongyang' fruit was achieved after two applications of EDTA-Ca solution by fruit surface immersion. …”
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A Linear Decomposition Method to Analyze and Study Pulsar Mode Changes by Longfei Hao, Zhixuan Li, Faxin Shen, Yonghua Xu, Yuxiang Huang, Kejia Lee, Qingzheng Yu, Hongguang Wang

“…We show that the method is similar to the principal component analysis, but the LDM can handle more general situations. …”
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Late Gestation Maternal Nutrition Has a Stronger Impact on Offspring Liver Transcriptome than Full-Gestation Supplementation in Beef Cattle by Guilherme Henrique Gebim Polizel, Maria Elis Perissin dos Santos, Aline Silva Mello Cesar, Wellison J. S. Diniz, German D. Ramírez-Zamudio, Paulo Fantinato-Neto, Arícia Christofaro Fernandes, Barbara Carolina Teixeira Prati, Édison Furlan, Gabriela do Vale Pombo, Miguel Henrique de Almeida Santana

“…Liver samples were collected from male offspring aged 22.5 ± 1 months and analyzed using RNA-Seq (n = 5 per treatment). Principal component analysis (PCA) and differential gene expression analysis were carried out in an R statistical environment. …”
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Soil and Root Responses in Hazelnut Rhizosphere to Inoculate Rhizobacteria Immobilized via JetCutter Technology by Solange V. Benítez, Rocío Carrasco, Antonio Roldán, Fuensanta Caravaca, Manuel Campoy, Joaquín Cofré, José Ortiz, Juan D. Giraldo, Mauricio Schoebitz

“…Their effects on root development, gas exchange parameters, dissolved organic carbon (DOC), and soil enzymatic activities (phosphatase, urease, protease, and β-glucosidase) were assessed. Principal component analysis (PCA) was used to identify the top-performing strain. …”
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Arabic validation and cross-cultural adaptation of climate anxiety scale by Shymaa Mamdouh Mohamed Abdu, Assem Gebreal, Safar Abadi Alsaleem, Moath S. Aljohani, Suzan Abdel-Rahman, Mohamed Fakhry Hussein, Nada Ibrahim, Iffat Elbarazi, Samah Hussein, Omar Shamma, Ahmed Elsayed said Noureldin, Ramy Mohamed Ghazy

“…The internal consistency of the scale was assessed using the Cronbach's alpha. Exploratory factor analysis (EFA) conducted over principal component analysis assessed the scale dimensionality. …”
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Directional hand movement can be classified from insular cortex SEEG signals using recurrent neural networks and high-gamma band features by Xiecheng Shao, Ryan S. Chung, Jonathon M. Cavaleri, Roberto Martin Del Campo-Vera, Miguel Parra, Shivani Sundaram, Selena Zhang, Ashwitha Surabhi, Ryan J. McGinn, Charles Y. Liu, Spencer S. Kellis, Brian Lee

“…Neural signal processing focused on high-gamma band activity. Demixed Principal Component Analysis (dPCA) was used for dimension reduction (d = 10) and feature extraction from the time-frequency analysis. …”
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Effect of Mixed Lactic Acid Bacteria on Silage Quality and In Vitro Digestibility of 16 Oat Forage Varieties in Qinghai–Tibet Plateau by Xueer Zhao, Xinyang Li, Haiping Li, Xiaowei Hu, Dawa Quzhen, Xiangba Lamu, Zhifeng Jia, Yang Ji, Yanling Huang, Qingping Zhou, Hao Guan

“…The dry matter digestibility and 72 h cumulative gas production of the IN group were higher than that of the CK group (<i>p</i> < 0.05). Based on principal component analysis and membership function comprehensive evaluation, Tianyan No.1, Qinghai 444, and Tianyan No.3 ranked the top three, demonstrating that these three oat forage varieties are suitable for silage processing in the Qinghai–Tibet Plateau region.…”
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Mitochondrial genes and antioxidant mechanisms in the duodenum relate to feed efficiency in slow-growing chickens by Saknarin Pengsanthia, Elisabeth Le Bihan-Duval, Agnès Narcy, Jacky Ezagal, Satoshi Kubota, Wittawat Molee, Amonrat Molee

“…Moreover, the antioxidant enzyme activities in HRFI were significantly higher than those in LRFI, suggesting that HRFI birds have the capacity to cope with elevated levels of ROS. Principal component analysis (PCA), which integrated phenotypic characterization, mitochondrial oxidative status, and gene expression levels, revealed a clear separation between LRFI and HRFI chickens, with PC-1 explaining 47% of the variance. …”
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Discovery of anti-Ebola virus multi-target inhibitors from traditional Chinese medicine database using molecular screening, biophysical investigation, and binding free energy calcu... by Abbas Khan, Abrar Mohammad Sayaf, Anwar Mohammad, Fahad M. Alshabrmi, Tarek Benameur, Dong-Qing Wei, Kar Kheng Yeoh, Abdelali Agouni

“…Furthermore, the binding free energy results revealed that VP30-TCM2644, VP30-TCM4697, VP35-TCM2837, VP24-TCM250, and VP24-TCM277 complexes exhibit significant binding free energy values compared to the control ligands. Principal Component Analysis (PCA) and Free Energy Landscape (FEL) results revealed the trajectories' motion and conformational energy states. …”
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Allosteric binding sites in Rab11 for potential drug candidates. by Ammu Prasanna Kumar, Suryani Lukman

“…In this study, by employing multiple clustering approaches integrating principal component analysis, independent component analysis and locally linear embedding, we performed structural analyses of Rab11 and identified eight representative structures. …”
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