Showing 48,961 - 48,980 results of 67,644 for search '"\"((\"linear structure\\") OR (\"linear ((structured\" OR structures\") OR structural\\")))*\""', query time: 0.41s Refine Results
  1. 48961

    Climate trends and attribution analysis of runoff changes in the Hulan River from 1960-2020 based on the Budyko hypothesis by Gengwei Liu, Changlei Dai, Liang Tao, Chenyao Zhang, Ruihan Xiao, YiJiang He

    Published 2025-10-01
    “…Study focus: This research employed a suite of statistical methods, including linear trend analysis and the Mann-Kendall (MK) test, to examine trends and identify abrupt changes in various meteorological factors and runoff within the watershed. …”
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  2. 48962

    Air pollution and anti-Müllerian hormone: the Doetinchem Cohort Study by Runyu Zou, Amanda Durkin, Annelien de Kat, Yvonne T. van der Schouw, Gerard Hoek, W.M.Monique Verschuren, Roel Vermeulen, Virissa Lenters

    Published 2025-07-01
    “…In 2574 women with a mean baseline age of 37.6 years from a prospective population-based cohort in the Netherlands, we used linear mixed models to investigate the associations between long-term exposure to four regulated air pollutants (NO2, O3, PM10, and PM2.5) and longitudinal serum AMH levels. …”
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  3. 48963

    Comparison of Childbirth Experience and Related Factors in Primiparous Women With Normal Vaginal Delivery and Cesarean Section From Northern Iran by Fatemeh Afshar, Sedigheh Pakseresht, Fatemeh Jafarzadeh-Kenarsari, Saman Maroufizadeh

    Published 2025-01-01
    “…In multivariate analyses, the multiple linear regression analysis was used to determine factors associated with the total CEQ score. …”
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  4. 48964

    The adverse effect of metabolic syndrome on left ventricular global strains and myocardial energetic efficiency in non-ischemic dilated cardiomyopathy patients: a cardiac magnetic... by Meng-Ting Shen, Yuan Li, Ke Shi, Jin Wang, Li Jiang, Yu Jiang, Yue Gao, Shi-Qin Yu, Xue-Ming Li, Wei-Feng Yan, Zhi-Gang Yang

    Published 2025-03-01
    “…The independent determinants of LV global longitudinal peak strain (GLPS), LVRI, LVGFI, and MEEI were evaluated using multivariable linear regression analyses. Results Compared to NIDCM patients without MetS, those with MetS had significantly lower LVSVI, LVEF, and LVGFI, along with higher LVMI and LVRI (all p < 0.05). …”
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  5. 48965

    Associations between disordered eating, body dissatisfaction, and low energy availability in women collegiate athletes by Christy V. Le, Andrew R. Jagim, Margaret T. Jones, Jennifer B. Fields

    Published 2025-09-01
    “…Pearson correlation coefficients and linear regression analysis were used to examine relationships between LEA risk, ED risk, DE behaviors, and BID (p < 0.05).Results A total of 64% athletes were considered at risk for LEA with the highest prevalence observed in volleyball (100%) followed by wrestling (68%), cross country (57%), and soccer (56%). …”
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  6. 48966

    A laminin-based therapy for dogs with chronic spinal cord injury: promising results of a longitudinal trial by Carolina de Miranda Chize, Carolina de Miranda Chize, Diego Gonzales Vivas, Karla Menezes, Max Nascimento Freire, Rodrigo Ferreira Pinto Jiddu, Aurélio Vicente Graça-Souza, Eliel de Souza-Leite, Paulo Roberto Louzada, Tatiana Coelho-Sampaio

    Published 2025-08-01
    “…Gait analysis was carried out using the Texas Spinal Cord Injury Scale (TSCIS) and the Open Field Scale (OFS), while a linear mixed model was used for statistical analysis. …”
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  7. 48967

    Joint association of sleep quality and physical activity with hypertension: a cross-sectional population study in agricultural workers by Yu-Fei Chen, Yu-Fei Chen, Qian Zhao, Xieyire Hamulati, Liting Cai, Xinyu Qiu, Jiamule Maimaitiyiming, Fen Liu, Fen Liu, Xiao-Mei Li, Yi-Ning Yang

    Published 2025-08-01
    “…RCS regression showed a linear association between sleep quality and hypertension prevalence in participants (P overall = 0.007, P nonlinear = 0.214), and the association between PA level and hypertension prevalence was also statistically significant (P overall = 0.022). …”
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  8. 48968

    What is the impact of social support on self-rated health and depressive symptoms in university students: a survey study in two German universities by Mira Tschorn, Kristin Koller-Schlaud, Darlene Heinen, Sarah Jane Böttger, Julia Seiffert, Veronika Esipova, Timm Seegert, Amanda Sophie Voss, Bernd Förstner, Michael Rapp, Jan C. Zoellick

    Published 2025-07-01
    “…We employed multivariate linear regression models for the two samples separately to investigate the association of the two health indicators with social support while accounting for relationship status, living situation (living alone yes/no) and gender. …”
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  9. 48969

    EVIDÊNCIAS DE VALIDADE E CONFIABILIDADE PARA USO DA READINESS FOR INTERPROFESSIONAL LEARNING SCALE (RIPLS-40) EM ESTUDANTES DA BAHIA by Everson Meireles, Lais Souza da Silva, Luciana Alaíde Alves Santana, Ramona Fernanda Ceriotti Toassi, Jaqueline Alcântara Marcelino da Silva, Marina Peduzzi

    Published 2024-06-01
    “…Metodologia: Participaram 205 estudantes de cinco cursos da área da saúde (Psicologia, Nutrição, Enfermagem, Medicina e Bacharelado Interdisciplinar em Saúde), com modelos de formação distintos: formação linear e em ciclos. Os dados foram coletados em sala de aula. …”
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  10. 48970

    Correlation between habits of using online health information and e-health literacy in middle-aged and older Chinese adults by Cheng Yuan, Xiaomin Wei, Xiaoyu Wu, Huilin Liu, Zongmin Jiang

    Published 2024-04-01
    “…Participants demonstrated limited awareness in using online health information to solve their health problems (item 2 of eHEALS, 3.36 ± 1.27) and in discerning reliable from unreliable health information on Internet (item 6 of eHEALS, 3.38 ± 1.23). Multiple linear regression analysis indicated that e-health literacy was influenced by several factors, including age, coverage of both social and commercial medical insurances, the use of at least two online health information sources and search approaches, behaviors of forwarding and sharing online health information, and holding positive attitude of accepting online health information. …”
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  11. 48971

    Variation in Arterial CO2 is a Stronger Determinant of Brain Tissue Oxygenation Than its Synchronous Value in Critically Ill Patients With Acute Brain Injury by Joanie Martineau, MD, MSc, Francis Bernard, MD, Alexandrine Gagnon, MD, Virginie Williams, PhD, Sabrina Araujo de Franca, BSN, David Williamson, BPharm, PhD, Yiorgos Alexandros Cavayas, MD, Msc

    Published 2025-04-01
    “…We performed a post hoc analysis of a prospective cohort study collecting arterial blood gas (ABG) values alongside synchronous neuromonitoring variables. Linear mixed-effects models were fitted to evaluate the association between Paco2 and/or Paco2 variation from its average of the last 8–24 hr vs. …”
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  12. 48972

    A Responsible Framework for Assessing, Selecting, and Explaining Machine Learning Models in Cardiovascular Disease Outcomes Among People With Type 2 Diabetes: Methodology and Valid... by Yang Yang, Che-Yi Liao, Esmaeil Keyvanshokooh, Hui Shao, Mary Beth Weber, Francisco J Pasquel, Gian-Gabriel P Garcia

    Published 2025-06-01
    “…Then, we applied hold-out cross-validation to develop several interpretable machine learning models (linear, tree-based, and ensemble) to predict the risks of MI and stroke among patients with diabetes. …”
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  13. 48973

    The effects of Shenkang suppository on kidney function and gut microbiota in nondialysis patients with chronic kidney disease stages 3–4: A randomized controlled trial by Weiwei Zhang, Xin Zhang, Shuang Xu, Yousuf Abdulkarim Waheed, Yousuf Abdulkarim Waheed, Yizhou Xu, Shulin Li, Shulin Li, Dong Sun, Dong Sun, Dong Sun

    Published 2025-07-01
    “…After 8 weeks of SKS intervention, the beneficial bacteria Coriobacteriaceae and Ruminococcaceae-Ruminococcus proliferated dramatically, whereas the abundance of the harmful bacteria Veillonellaceae decreased. Linear discriminant analysis (LDA) revealed that SKS treatment increased the proportion of Streptococcus and decreased the proportions of Planctomycetes, Spirochaetes, Rhodocyclales, Actinomycetaceae, Veillonellaceae, and Dechloromonas. …”
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  14. 48974

    Ferro-aluminosilicate composite generated from coal gasification fine slag for the preconcentration and adsorptive removal of selected artificial sweeteners from water by Xoliswa Cingo, Azile Nqombolo, Buhle Xakalashe, Xolisa Goso, Luthando Nyaba, Odwa Mapazi, Philiswa Nosizo Nomngongo

    Published 2025-09-01
    “…The method achieved detection limits (LODs) ranging from 0.015 to 0.11 μg/L and quantification limits (LOQs) between 0.04 and 0.15 μg/L across ultrapure, tap, and river water samples, with linear dynamic ranges extending up to 650 μg/L and correlation coefficients exceeding 0.99. …”
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  15. 48975

    Effects of Ursolic Acid on Immune Function and Antioxidative Capacity in Weaned Rabbits by Yanhua Liu, Saijuan Chen, Fengyang Wu, Baojiang Chen, Chong Li, Xinyu Yang, Gang Zhang, Man Hu

    Published 2025-07-01
    “…With increasing UA supplementation, cecal Kelch-like ECH-associated protein 1 and <i>IL-10</i> mRNA expression showed linear upregulation (<i>p</i> < 0.05), whereas nuclear factor erythroid 2-related factor 2 (<i>Nrf2</i>), superoxide dismutase 1 (<i>SOD1</i>), quinone oxidoreductase 1 (<i>NQO1</i>), TNF-α, interleukin-6, and interleukin-8 displayed quadratic responses (<i>p</i> < 0.05). …”
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  16. 48976

    Group antenatal care positively transforms the care experience: Results of an effectiveness trial in Malawi. by Crystal L Patil, Kathleen F Norr, Esnath Kapito, Li C Liu, Xiaohan Mei, Elizabeth Chodzaza, Genesis Chorwe-Sungani, Ursula Kafulafula, Elizabeth T Abrams, Allissa Desloge, Ashley Gresh, Rohan D Jeremiah, Dhruvi R Patel, Anne Batchelder, Heidy Wang, Jocelyn Faydenko, Sharon S Rising, Ellen Chirwa

    Published 2025-01-01
    “…Adjusted for seven individual and two clinic-level baseline covariates, point estimates are reported for continuous outcomes using multivariable linear regression models. Adjusted for the same covariates, odds ratios are reported for categorical outcomes using logistic regression models. …”
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  17. 48977

    Commissioning of the first S3 Targets’ Station for non-radioactive material by Stodel Christelle, Lutton Franck, Gangnant Patrice, Lefrou Thierry, Houarner Charles, André Thierry, Frémont Georges, Bourges Marius, Saillenfest Franck, Morel Vincent, Piot Julien, Ackermann Dieter, Savajols Hervé, de France Gilles, Kumar Shayan, Jacquot Bertrand, Kamalou Omar, Ledoux Xavier, Sorlin Olivier

    Published 2025-01-01
    “…In order to handle the very intense heavy ion beams from the GANIL-SPIRAL2 superconducting linear accelerator (LINAG), a specific target station for non-radioactive material was designed and built for the Super-Separator-Spectrometer S3. …”
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  18. 48978
  19. 48979

    The Impact of Race, Education, Economic Vulnerability, and Stigma on Viral Load Detectability Among People Living with HIV in Brazil by Brandelli Costa A, Graeff Bins-Ely I, Penzato V, Vaitses Fontanari AM, Alckmin-Carvalho F, Pereira H, Welter Wendt G

    Published 2025-08-01
    “…Data was analyzed with both descriptive and inferential statistics using SPSS.Results: Our generalized linear model showed that participants who were non-white, with low education and of lower economic status had a lower likelihood of reporting undetectable viral load (UVL) compared compared to their respective counterparts (white participants, those with higher education, and those of higher economic status). …”
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  20. 48980

    Differential Study on Estimation Models for Indica Rice Leaf SPAD Value and Nitrogen Concentration Based on Hyperspectral Monitoring by Yufen Zhang, Kaiming Liang, Feifei Zhu, Xuhua Zhong, Zhanhua Lu, Yibo Chen, Junfeng Pan, Chusheng Lu, Jichuan Huang, Qunhuan Ye, Yuanhong Yin, Yiping Peng, Zhaowen Mo, Youqiang Fu

    Published 2024-12-01
    “…A hyperspectral device with an integrated handheld leaf clip-on leaf spectrometer and an internal quartz-halogen light source was conducted to monitor the spectral reflectance of leaves at different growth stages. Linear regression (LR), random forest (RF), support vector regression (SVR), and gradient boosting regression tree (GBRT) were employed to construct models. …”
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