Unlocking watershed mysteries: Innovative regionalization of hydrological model parameters in data-scarce regions by Temesgen T. Mihret, Fasikaw A. Zemale, Abeyou W. Worqlul, Ayenew D. Ayalew, Nicola Fohrer

“…A 25 km by 25 km fishnet-based grid was implemented to enable parameter prediction for ungauged watersheds. Principal Component Analysis (PCA) and k-means clustering were used to group gauged watersheds into three homogeneous clusters, with Beressa, Dedessa, and Gilgel Abay selected as pseudo-watersheds for validation. …”
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Soil nutrients, microbial biomass, and crop response to organic amendments in rice cropping system in the Shiwaliks of Indian Himalayas by Richa Rajput, Priya Pokhriya, Pooja Panwar, A. Arunachalam, Kusum Arunachalam

“…An increase of up to 47% was obtained in cumulative growth attributes (plant height, total biomass, and a number of tillers, spikes, and spike length) of rice plant in T6 amendment. The principal component analysis revealed two components responsible for 54.17% of the variance in the organically treated soil. …”
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Contribution of Organic Carbon, Moisture Content, Microbial Biomass-Carbon, and Basal Soil Respiration Affecting Microbial Population in Chronosequence Manganese Mine Spoil by S. Dash and M. Kujur

“…Stepwise multiple regression analysis further confirms the degree of variability added by microbial biomass C, moisture content, organic carbon, and microbial population on basal soil respiration in microbes. Principal component analysis enables the differentiation of seven different soil profiles into independent clusters based on cumulative variance given by physico-chemical and microbial attributes that indicate the level of degradation of land and act as an index to restore soil fertility.…”
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Different Metabolites in the Roots, Seeds, and Leaves of Acanthopanax senticosus and Their Role in Alleviating Oxidative Stress by Jie Su, Qi Wang, Zhifeng Li, Yan Feng, Yan Li, Shinlin Yang, Yulin Feng

“…Two multivariate statistical analysis methods—namely, principal component analysis and partial least square discriminant analysis—were used to distinguish the samples obtained from different parts of the plant. …”
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Interplay between light and circadian rhythms in the regulation of photoreception and physiological processes in the stony coral Acropora digitifera by Zongyan Shi, Akihiro Takemura

“…Some genes tested by qPCR significantly fluctuated with light (pmca, sglt, ppp1r, egln, sod, and hsp70) and time (ca, pmca, sglt, ppp1r, hif1α, egln, sod, and sod). Principal component analysis revealed significant correlations of circadian genes (cycle or slmb) with calcification/metabolism-related (pmca), oxygen homeostasis (hif1α), and stress indicator (sod) genes under both LD and DD conditions. …”
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Predicting carbon dioxide emissions using deep learning and Ninja metaheuristic optimization algorithm by Anis Ben Ghorbal, Azedine Grine, Ibrahim Elbatal, Ehab M. Almetwally, Marwa M. Eid, El-Sayed M. El-Kenawy

“…The data preparation used in the present methodology involves sophisticated stages such as Principal Component Analysis (PCA) as well as Blind Source Separation (BSS) to reduce noise as well as to improve feature selection. …”
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Metabolomic profiling reveals systemic metabolic disruptions induced by combined exposure to particulate matter and ozone by Yue Ge, Maliha S. Nash, Aimen K. Farraj

“…Notably, the combination exposure induced distinct metabolic changes, including increased acylcarnitine C3 levels, suggesting heightened mitochondrial dysfunction. Principal component analysis revealed overlapping profiles between CAPs and controls, indicating a subtler impact of CAPs compared to ozone or combined exposure. …”
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Low-density SNP marker sets for genetic variation analysis and variety identification in cultivated citrus by Phuong Linh Nguyen, Jin-Kee Jung, Jee-Soo Park, Sung-Chur Sim

“…Of these, a core set of 481 SNPs was filtered based on polymorphism information content and genome distribution. Both principal component analysis (PCA) and model-based clustering showed genetic differentiation between C. unshiu and C. sinensis. …”
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How do multiple deprivations in nuanced urban and rural settings affect health differently in South Africa? Evidence from NIDS data, 2017 by Josue Mbonigaba, Msawenkosi Dlamini

“…To address this, we applied Principal Component Analysis (PCA) to create independent components which were then incorporated into the model. …”
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Resilience capacity among the vulnerable farming households in Meki River catchment, Central Rift Valley of Ethiopia: Present situation and future prospects by Simret Terefe, Amare Bantider, Ermias Teferi, Meskerem Abi

“…The resilience measurement considered latent variables such as Climate Extremes, Access to Basic Services, Asset, Social Safety Nets, Stability, Adaptive Capacity, and Social Capital as resilience indicators. Principal component analysis and the Multiple Indicator Multiple Cause model were used to estimate the Resilience Capacity Index (RCI). …”
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Comparison of the Nutritional and Taste Characteristics of 5 Edible Fungus Powders Based on the Composition of Hydrolyzed Amino Acids and Free Amino Acids by Jian Li, Junmei Ma, Sufang Fan, Shengquan Mi, Yan Zhang

“…The most significant TAV values of the 5 edible fungus powders appeared in glutamic acid, and this amino acid is an umami amino acid. Principal component analysis (PCA) suggested that four principal components could reflect all the information on the free amino acids with a total cumulative variance contribution rate of 100%, and three principal components could reflect most of the information on the hydrolyzed amino acids with a total cumulative variance contribution rate of 99.143%, which could represent the main trends of free amino acids and hydrolyzed acids in edible fungus powder. …”
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Comparative assessment of the photosynthetic pigment content among representatives of intraspecific taxa in <i>Pisum sativum</i> L. by S. V. Bobkov, K. A. Bashkirova, E. V. Semenova, M. A. Vishnyakova

“…The analyzed accessions showed significant polymorphism in their PP content. Principal component analysis divided the material into two categories: with high and low PP content. …”
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Assessing the Knowledge, Attitude, and Practices of Cigarette Smokers and Use of Alternative Nicotine Delivery Systems in Pakistan: A Cross-Sectional Study by Abdul Hameed, Daud Malik

“…A mixed-method approach utilizing cross section primary survey data and comprising descriptive and s-KAP index analysis has been adopted to ascertain the relationship between dependent and independent s-KAP variables; the principal component analysis methodology has been used to determine the use of alternative nicotine delivery systems. …”
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Brief Psychiatric Screening Questionnaire in Parkinson’s Disease by Will Lee, David R. Williams, Andrew Evans

“…Data were reduced by principal component analysis and linear regression. Content validity and repeatability were assessed in a second cohort. …”
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INTEGRATION OF THE BALTIC STOCK MARKETS WITH GLOBAL MARKETS DURING THE PREVIOUS DECADE by Anmar Pretorius

“…The subsequent stage of the analysis entails the utilisation of principal component analysis. The specified number of latent factors behind global systemic risk are extracted from the panel data set employing factor analysis. …”
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UV Hyperspectral Imaging and Chemometrics for Honeydew Detection: Enhancing Cotton Fiber Quality by Mohammad Al Ktash, Mona Knoblich, Frank Wackenhut, Marc Brecht

“…Comparisons were made with an alternative method where samples were soaked in sugar solutions of varying concentrations. Principal component analysis (PCA) and quadratic discriminant analysis (QDA) effectively differentiated and classified samples based on honey spraying times. …”
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A method for identifying surface contamination components of composite insulators based on hyperspectral imaging by MIAO Jin, QIN Jun, CHEN Junyu, WU Junfeng, REN Ming, LIU Runyu

“…Next， kernelized principal component analysis （KPCA） is introduced at the 2D pixel level to effectively extract pixel data features of the typical contamination components. …”
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Investigating the Working Efficiency of Typical Work in High-Altitude Alpine Metal Mining Areas Based on a SeqGAN-GABP Mixed Algorithm by Ning Hua, He Huang, Xinhong Zhang

“…First, we investigated the collaborative relationship between workers, operating machinery, operating environment, and design variables in order to establish the evaluation index system of typical work efficiency in high-altitude alpine metal mining areas. Second, principal component analysis (PCA) was integrated with the fusion entropy weight method to (i) analyze the coupling correlation and overlapping effects between the factors influencing efficiency at different altitudes and (ii) to determine the key influencing factors. …”
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Analysis of Characteristic Flavor Substances of Yak Part Meat Based on GC-IMS by Jingnian ZHANG, Shengsheng LI, Jibing MA, Chenglu LIU

“…In order to clarify the characteristic flavor compounds of yak part meat, gas chromatography-ion mobility spectrometry (GC-IMS) was used to analyze the volatile compounds in 20 parts of yak meat, and the characteristic flavor compounds in yak part meat were analyzed by fingerprinting, principal component analysis (PCA), cluster analysis (CA) and partial least squares (PLS). …”
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Quantitative Structure–Activity Relationship (QSAR) Modeling of Chiral CCR2 Antagonists with a Multidimensional Space of Novel Chirality Descriptors by Ramanathan Natarajan, Ganapathy S. Natarajan, Subhash C. Basak

“…The data reduction using principal component analysis resulted in the extraction of eight principal components (PCs). …”
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