Comparative transcriptome analysis of resistant, moderately resistant, and susceptible wheat-near-isogenic lines in response to Puccinia striiformis tritici by Zainy Zainy, Muhammad Zeeshan Hyder, Uzma Uzma, Muhammad Fayyaz, Umer Zeeshan Ijaz, Sumaira Farrakh

“…Subsequent Gene Ontology (GO) enrichment analysis suggests protein phosphorylation, biological process, and cellular process of internal components of membrane enriched in all three comparisons at both time points. …”
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Investigation of heavy metal concentration, origin, and relationships in Sistan region dust: A novel approach with advanced statistical analysis by Seyed Mohammad Sadeq Tabib Loghmani, Mohammad Reza Rezaei Kahkha, Ahmad Sharafti, Amin Reza Neshat

“…The pollution index (PI) also reflected moderate pollution for these elements. Principal component analysis (PCA) revealed that the first two components accounted for 94.8% of the data variability. …”
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Data-Driven Approach for Analyzing and Correlating Energy Market Products: Case Studies of Denmark and Croatia by Domagoj Badanjak, Ivan Pavic, Tomislav Capuder

“…In addition to the presented histograms of respective power market components, we examine interrelationships through statistical analysis, demonstrating significant correlations both numerically and graphically. …”
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Comprehensive quality evaluation of Magnolia officinalis leaves based on wavelength fusion fingerprint, content determination, and antioxidant activity analysis by Xuemei Lan, Lujie Lin, Lixin Yang, Yunhong Wang, Xiumei Ke, Rongping Yang, Hua Li, Bin Yang

“…The effective distinction of 18 batches of MOLs was realized based on hierarchical cluster analysis, principal component analysis, and orthogonal partial least squares discriminant analysis combined with multiwavelength fusion fingerprint. …”
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Proximate analysis and aflatoxin contamination in poultry feeds: a comparative study of two feed companies in Jos and Kaduna, Nigeria by Anu Adekunle Daramola, Daniel Omeodisemi Omokpariola

“…Samples were ground, sieved, and analyzed for moisture, protein, fat, ash, fiber, carbohydrate, energy, and aflatoxin content using standard methods. Proximate analysis results revealed significant differences in nutritional components between the two locations. …”
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Effect of Nocturnal Hemodialysis versus Conventional Hemodialysis on End-Stage Renal Disease: A Meta-Analysis and Systematic Review. by Fangjie Liu, Yiting Sun, Tianhua Xu, Li Sun, Linlin Liu, Wei Sun, Xin Feng, Jianfei Ma, Lining Wang, Li Yao

“…<h4>Results</h4>We collected and analyzed the results of 28 studies involving 22,508 patients in our meta-analysis. …”
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Identification of genes and pathways related to lymphovascular invasion in breast cancer patients: A bioinformatics analysis of gene expression profiles by Sukhontip Klahan, Henry Sung-Ching Wong, Shih-Hsin Tu, Wan-Hsuan Chou, Yan-Feng Zhang, Thien-Fiew Ho, Chih-Yi Liu, Shih-Ying Yih, Hsing Fang Lu, Sean Chun-Chang Chen, Chi-Cheng Huang, Wei-Chiao Chang

“…In total, 108 breast cancer samples were collected during surgery and microarray analysis was performed. …”
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Analysis of the association between glomerular filtration rate, proteinuria and metabolic syndrome in chronic kidney patients based on longitudinal data by Li Guo, Shanshan Guo, Youlan Gong, Jing Li, Jiandong Li

“…There was a certain correlation between between MS components with eGFR and urinary protein in patients with CKD. …”
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Research Progress of Lycium ruthenicum Based on CiteSpace by Fei LIU, Lutao ZHANG, Jia MI, Lu LU, Bo JIN, Yingping LI, Guoli DAI, Linyuan DUAN, Yamei YAN

“…In order to further understand the current status and dynamic trends of the research on Lycium ruthenicum, a bibliometric method was employed using relevant literature from the Web of Science core collection database, utilizing multidimensional statistical analysis. …”
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Validation of the Enhanced Recovery After Surgery (ERAS) database in Alberta, Canada and a comparative analysis with Swedish and Swiss data by K. Sauro, A. Thomas, L. Bakunda, C. Smith, S. Ibadin, T. Kuzma, G. Nelson

“…To have confidence in the data collected by EIAS, its completeness, accuracy and validity must be assessed. …”
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Comparative analysis of national innovation systems: Implications for SMEs' adoption of fourth industrial revolution technologies in developing and developed countries by Lebogang Mosupye-Semenya

“…METHODOLOGY: The data was collected through a Systematic Literature Review, identifying a total of 695 publications from SCOPUS, Web of Science (WoS), and ProQuest. …”
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Spatial transcriptomic analysis across histological subtypes reveals molecular heterogeneity and prognostic markers in early‐stage lung adenocarcinoma by Hua Geng, Wenhao Zhou, Haitao Luo, Jiaqian Wang, Shixiong Li, Congcong Song, Yujie Zhao, Meilin Xu

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Differences and correlation analysis of feeding habits and intestinal microbiome in Schizopygopsis microcephalus and Ptychobarbus kaznakovi in the upper reaches of Yangtze River by Xinyu Wang, Xinyu Wang, Jiahui Hao, Jiahui Hao, Cunfang Zhang, Ping Zhu, Ping Zhu, Qiang Gao, Dan Liu, Miaomiao Nie, Junmei Jia, Delin Qi

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Near-Infrared Spectroscopy Machine-Learning Spectral Analysis Tool for Blueberries (<i>Vaccinium corymbosum</i>) Cultivar Discrimination by Pedro Ribeiro, Maria Inês Barbosa, Clara Sousa, Pedro Miguel Rodrigues

“…Machine-learning-based models, selected from a pool of 10 classifiers based on their discrimination power under a twofold stratified cross-validation process, were trained/tested with 1 to 20 components obtained by the application of data dimensionality reduction (DDR) techniques (dictionary learning, factor analysis, fast individual component analysis, and principal component analysis) to different near-infrared (NIR) spectra regions’ data, to either analyze a single spectral region and season or combine spectral regions and/or seasons for each side of the blueberry leaf. …”
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The Analysis and Prioritization of Social Sustainability of Rural Environments (Case Study: Ghal’eh Biaban District Darab Sub-Province) by Saeid Reza Akbarian Ronizi, Rana Shaykh-Baygloo

“…Variance analysis was applied to explain the differences among the villages in respect of social sustainability. …”
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The Negative Factors that Influence the Performance of Ghanaian Construction Projects by Benjamin Boahene Akomah, Prasanna Venkatesan Ramani

“…The factors were modified and designed into a questionnaire for data collection. The Cronbach alphas of the three components indicate a high degree of internal consistency. …”
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Designing a Model of Factors Affecting Gender Discrimination in Girls' Secondary Schools in Semnan Province by Nafise Damghanian, Nader Solaimani, Adel Hallaj Dehghani

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Trends in the theory that inflammation plays a causal role in tendinopathy: a systematic review and quantitative analysis of published reviews by Michael J Mosca, Mustafa S Rashid, Sarah J Snelling, Shona Kirtley, Andrew Jonathan Carr, Stephanie Georgina Dakin

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Smart city scenarios based on the urban Futures Studies Approach: A case study of Tabriz metropolis by Zeinab Baradaran khanian, Hossein Panahi, Hossein Asgharpur

“…The final findings indicate that smart economy and smart mobility have the largest share as the main actors in this collection and will play a more effective role in the future of Smart City and it is expected that driver affecting on the smart future of Tabriz metropolis be one comprising mobility and economic components.Based on the results, among the 55 factors identified, 16 factors played a major role as key factors effective in the smart future process of Tabriz metropolis and were recognized as the main actors. …”
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Comprehensive integration of diagnostic biomarker analysis and immune cell infiltration features in sepsis via machine learning and bioinformatics techniques by Liuqing Yang, Liuqing Yang, Liuqing Yang, Rui Xuan, Rui Xuan, Rui Xuan, Dawei Xu, Dawei Xu, Dawei Xu, Aming Sang, Aming Sang, Aming Sang, Jing Zhang, Jing Zhang, Jing Zhang, Yanfang Zhang, Xujun Ye, Xinyi Li, Xinyi Li, Xinyi Li

“…Using the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), we identified the chemical constituents of these three herbs and their target genes.ResultsWe found that CD40LG is not only one of the 12 core genes we identified, but also a common target of the active components quercetin, luteolin, and apigenin in these herbs. …”
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