Results 91 to 100 of about 468,328 (281)

Mechanisms of parasite‐mediated disruption of brain vessels

FEBS Letters, EarlyView.
Parasites can affect the blood vessels of the brain, often causing serious neurological problems. This review explains how different parasites interact with and disrupt these vessels, what this means for brain health, and why these processes matter. Understanding these mechanisms may help us develop better ways to prevent or treat brain infections in ...
Leonor Loira, Sílvia Arroz‐Madeira, Cláudio A. Franco, Sara Silva Pereira   +3 more
wiley   +1 more source

Neutrosophic Ranked Set Sampling Scheme for Estimating Population Mean: An Application to Demographic Data [PDF]

Neutrosophic Sets and Systems
The primary goal of this study is to address the limitations of classical statistics in handling ambiguous or indeterminate data. The best alternative to classical and fuzzy statistics for handling such data uncertainty is neutrosophic statistics, which ...
Rajesh Singh , Anamika Kumari
doaj   +1 more source

Multiple ETS family transcription factors bind mutant p53 via distinct interaction regions

FEBS Letters, EarlyView.
Mutant p53 gain‐of‐function is thought to be mediated by interaction with other transcription factors. We identify multiple ETS transcription factors that can bind mutant p53 and found that this interaction can be promoted by a PXXPP motif. ETS proteins that strongly bound mutant p53 were upregulated in ovarian cancer compared to ETS proteins that ...
Stephanie A. Metcalf, Nicholas F. Downing, Kaitlyn M. Mills, Samuel C. Metcalfe, Alexander E. Kritzer, Lindsey D. Mayo, Peter C. Hollenhorst   +6 more
wiley   +1 more source

A Comparative Study of New Ratio-Type Family of Estimators Under Stratified Two-Phase Sampling

Mathematics
Two-phase sampling is a useful technique for sample surveys, particularly when prior auxiliary data is not accessible. The ranks of the auxiliary variable often coincide with those of the research variable when two variables are correlated.
Abdulaziz S. Alghamdi, Hleil Alrweili
doaj   +1 more source

Optimal Neutrosophic Difference to Log-Type Estimator for Population Mean: Some Numerical and Simulation Studieshttps://fs.unm.edu/NSS/11NeutrosophicDifference.pdf [PDF]

Neutrosophic Sets and Systems
Indeterminacy in the data are commonly observed in various fields like biomedicine, finance, marketing and other sphere of sciences, where classical statistical methods is a challenging task to deal such type of data.
SM Afsar Basha, Mahamood Usman
doaj   +1 more source

Pitfalls of imputing using incomplete auxiliary variables

American Journal of Epidemiology
We respond to Madley-Dowd et al's recent article in American Journal of Epidemiology. We show that standard imputation algorithms can fail for simple graphs (such as those used in Madley-Dowd et al's simulation study) even when the full data distribution is identified and an appropriate imputation estimator would be straightforward to design.
Maya B Mathur, Ilya Shpitser
openaire   +2 more sources

An upstream open reading frame regulates expression of the mitochondrial protein Slm35 and mitophagy flux

FEBS Letters, EarlyView.
This study reveals how the mitochondrial protein Slm35 is regulated in Saccharomyces cerevisiae. The authors identify stress‐responsive DNA elements and two upstream open reading frames (uORFs) in the 5′ untranslated region of SLM35. One uORF restricts translation, and its mutation increases Slm35 protein levels and mitophagy.
Hernán Romo‐Casanueva, Ariann E. Mendoza‐Martínez, P. Abril Medina‐Flores, Carlos Campero‐Basaldua, Alexander DeLuna, Soledad Funes   +5 more
wiley   +1 more source

Neutrosophic Exponential Ratio-Type Estimator for Finite Population Mean [PDF]

Neutrosophic Sets and Systems
This paper proposes a neutrosophic exponential-type estimator for finite population mean estimation using auxiliary variables. Traditional statistical estimators often fall short when handling vague or uncertain data.
Anisha Taneja, Sachin Malik, Prem Shankar Jha   +2 more
doaj   +1 more source

Statistical Inference Based on Randomly Generated Auxiliary Variables [PDF]

Journal of the Royal Statistical Society Series B: Statistical Methodology, 2017
SummaryIn most real life studies, auxiliary variables are available and are employed to explain and understand missing data patterns and to evaluate and control causal relationships with variables of interest. Usually their availability is assumed to be a fact, even if the variables are measured without the objectives of the study in mind. As a result,
openaire   +3 more sources

In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS

FEBS Letters, EarlyView.
We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka, Yuxi Liu, Stefano Maggi, Debnath Ghosal, Jue Wang, Prashant P. Damke, Stephen D. Carter, Wei Zhao, Sukhithasri Vijayrajratnam, Joseph P. Vogel, Carrie L. Shaffer, Grant J. Jensen   +11 more
wiley   +1 more source