Results 51 to 60 of about 1,606,033 (248)
Least-Squares Means: The R Package lsmeans
Least-squares means are predictions from a linear model, or averages thereof. They are useful in the analysis of experimental data for summarizing the effects of factors, and for testing linear contrasts among predictions. The lsmeans package (Lenth 2016)
Russell V. Lenth
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ABSTRACT Background Chronic kidney disease is a growing public health problem worldwide, and the number of patients requiring renal replacement therapy is steadily increasing. Türkiye has experienced a similar rise in both the incidence and prevalence of renal replacement therapy over the past decades; however, national‐level projections of future ...
Arzu Akgül +2 more
wiley +1 more source
Objective: To establish a prediction model of the degree of disability in adults with Spinal Cord Injury (SCI ) based on the use of the WHO-DAS II . Methods: The disability degree was correlated with three variable groups: clinical, sociodemographic and ...
Claudia Patricia Henao Lema +1 more
doaj
Revealing the structure of land plant photosystem II: the journey from negative‐stain EM to cryo‐EM
Advances in cryo‐EM have revealed the detailed structure of Photosystem II, a key protein complex driving photosynthesis. This review traces the journey from early low‐resolution images to high‐resolution models, highlighting how these discoveries deepen our understanding of light harvesting and energy conversion in plants.
Roman Kouřil
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Mapping the evolution of mitochondrial complex I through structural variation
Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin +2 more
wiley +1 more source
Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi +5 more
wiley +1 more source
Investigations of non-linear induction motor model using the Gudermannian neural networks
Zulqurnain Sabir +4 more
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Organoids in pediatric cancer research
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
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THE BIVARIATE CORRELATION COEFFICIENT: FROM CONCEPT TO APPLICATION
The bivariate correlation coefficient is among the most fundamental and widely applied measures in statistical analysis, offering a quantitative assessment of the association between two continuous variables.
Farrokh Habibzadeh
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Linear Fault Estimators for Nonlinear Systems: An Ultra-Local Model Design [PDF]
Farhad Ghanipoor +3 more
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