Showing 1,501 - 1,520 results of 1,803 for search 'Evaluation Group for Analysis of Data', query time: 0.12s Refine Results
  1. 1501

    <i>Syntrichia laevipila</i> Brid., a Bryophyta from Northwest Argentina as a Source of Antioxidants and Antimicrobials by Luis Ignacio Jiménez, Florencia Maria Correa Uriburu, José Javier Martínez Chamás, Guillermo Martin Suárez, Iris Catiana Zampini, Mario J. Simirgiotis, María Inés Isla

    Published 2025-01-01
    “…However, mosses appear to be a relatively overlooked group. The objective of this study was to conduct a phytochemical analysis of one hydroalcoholic extract of <i>Syntrichia laevipila</i> and to evaluate its potential as an antioxidant and antimicrobial agent. …”
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  2. 1502
  3. 1503

    Genome constitution and differentiation of subgenomes in Siberian and Far Eastern endemic species of the genus Elymus (Poaceae) according to the sequencing of the nuclear gene waxy by A. V. Agafonov, S. V. Asbaganov, E. V. Shabanova (Kobozeva), I. V. Morozov, A. A. Bondar

    Published 2019-11-01
    “…Mason-Gamer and co-authors have previously shown in a series of studies that a molecular phylogenetic analysis of the low-copy gene waxy (GBSS1) sequences significantly complements cytogenetic data on the genomic constitution and evolutionary relationships among both North American and Asian species of the genus Elymus. …”
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    Article
  4. 1504

    Human hair biochar to remove malachite green dye and bisphenol-A contamination by M. Kamaraj, P. Kamali, R. Kaviya, K. Abishek, B. Navinkumar, T.G. Nithya, L.S. Wong, J. Aravind

    Published 2024-07-01
    “…Data variables A, B, and C included the potential of hydrogen (3, 6, 9), duration (60, 150, 240 minutes), and adsorbent dose (0.1, 0.3, 0.5 gram per liter) in the Response Surface Methodology experiment.FINDINGS: The human hair biochar is characterized by analytical methods, and Brunauer, Emmett, and Teller analysis revealed that it has a porous nature and extensive surface area, an amorphous structure, and various functional groups. …”
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  7. 1507

    High Body Roundness Index Is Associated With Unhealthy Sleep Patterns: Insights From NHANES (2007–2014) by Pingchuan Liu, Yuding Luo, Xing He, Jiali Zhang, Fanzhou Ren, Bingyang Zhang, Bo Zheng, Jian Wang

    Published 2025-01-01
    “…The data were weighted, and multiple potential covariates were included in the analysis to provide national estimates and account for the comprehensive sampling design. …”
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  8. 1508

    Tumor mutational burden and survival on immune checkpoint inhibition in >8000 patients across 24 cancer types by Vivek Subbiah, Samuel J Klempner, Neeraj Agarwal, David P Carbone, Amit Mahipal, Shilpa Gupta, David Fabrizio, Jeffrey S Ross, Gerald Li, David R Gandara, Miles C Andrews, Jonathan W Riess, Ramez N Eskander, Ryon P Graf, Geoffrey R Oxnard, Sarah Sammons, Jeremy Snider, Lilia Bouzit, Cheryl Cho-Phan, Megan Price, Julia C F Quintanilha, Richard Sheng Poe Huang

    Published 2025-02-01
    “…Following a prespecified analysis plan, rwOS by TMB level was assessed using Cox PH models adjusted for Eastern Cooperative Oncology Group performance status, prior treatment, microsatellite instability, sex, age, opioid rx pretherapy, and socioeconomic assessment.Results 8440 patients met inclusion criteria. …”
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  9. 1509

    Prevalence of malocclusion and orthodontic treatment need in a sample of 12-15-year-old kurdish schoolchildren in Ranyia district by Zana Qadir Omer, Hashem Omer Karim

    Published 2018-12-01
    “…The Dental Health Component (DHC) and the Aesthetic Component (AC) of the Index of Orthodontic Treatment Need (IOTN) were used to analyse the relationship of malocclusion with gender and age.The data were recorded in questionnaires. Results: Statistical analysis revealed that 47.1 % of children do not need orthodontic treatment while 52.7% of them have malocclusion with varying treatment needs. …”
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  10. 1510
  11. 1511

    Health-related quality of life after prosthodontic rehabilitation in patients with COVID-19-associated mucormycosis: A systematic review by Gunjan Chouksey, Rupali Choure, Kritika Singhal

    Published 2025-01-01
    “…This systematic review aimed to evaluate the impact of prosthodontic rehabilitation on the HRQOL of individuals affected by COVID-19-associated mucormycosis. …”
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  12. 1512
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    Association between dietary components and gut microbiota: a Mendelian randomization study by CHEN Haimiao, MA Yan, LIU Mingqi, MA Shanshan, LI Jun, XU Laichao

    Published 2025-01-01
    “…Methods: Genome-wide association study (GWAS) data for dietary components were collected from the DietGen, while GWAS data for gut microbiota were collected from the MiBioGen. …”
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    Identification of WDR74 and TNFRSF12A as biomarkers for early osteoarthritis using machine learning and immunohistochemistry by Yiwei Chen, Yiwei Chen, Jiali Lin, Detong Shi, Yu Miao, Yu Miao, Feng Xue, Feng Xue, Kexin Liu, Kexin Liu, Xiaotao Wang, Changqing Zhang, Changqing Zhang

    Published 2025-01-01
    “…URGs were retrieved from GeneCards, and ubiquitination scores were calculated using the AUCell package. Gene module analysis based on co-expression network analysis was conducted to identify core genes. …”
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    Diversity Assessment of Some Sesame (Sesamum indicum L.) Genotypes Cultivated in Northern Ghana Using Morphological and Simple Sequence Repeat (SSR) Markers by Raphael Adu-Gyamfi, Ruth Prempeh, Issahaku Zakaria

    Published 2019-01-01
    “…Data collected were subjected to Principal Component Analysis (PCA) and a dendrogram showing similarity between the accessions were drawn. …”
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  19. 1519

    Bibliometric Review on Corporate Social Responsibility of the Food Industry by Mingli He, Weiping Yu, Xiaoyun Han

    Published 2022-01-01
    “…The main findings of the research are as follows: (1) The overall development status of the research in the field. The analysis of the three fields that constitute the knowledge structure. (2) Research in this field has become a hot spot, but the research is rather scattered, and the scholars and experts do not have a special research core. (3) The keywords’ cluster results in 9 clustering tags, which are further grouped into 7 groups. …”
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