Results 121 to 130 of about 7,087,225 (342)
There has been an important move away from the term “statistical significance” in the scientific and statistical community. The desire to “retire 0.05” is rooted in improving scientific reporting by ensuring that researchers report more information than ...
Brian C. Healy +2 more
doaj +1 more source
Multiple valued maps into a separable Hilbert space that almost minimize their $p$ Dirichlet energy or are squeeze and squash stationary [PDF]
Philippe Bouafia +2 more
openalex +1 more source
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 +5 more
wiley +1 more source
Statistical Significance is Prerequisite in Study [PDF]
Himel Mondal, Shaikat Mondal
doaj +1 more source
Response Surface Methodology Optimization of Wear Rate Parameters in Metallic Alloys
The optimization of wear rate parameters in metallic alloys using Response Surface Methodology (RSM) has been experimentally performed. The wear rate, a critical factor affecting the durability and performance of metallic components, served as the ...
Blessing Ngozi Goodluck Aliemeke +5 more
doaj +1 more source
Appendix 1: p K a Values of Protons Associated with Common Functional Groups [PDF]
Daniel E. Levy
openalex +1 more source
In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS
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 +11 more
wiley +1 more source
Recognition of cancer mediating genes using MLP-SDAE model
This article introduces a predictive deep learning model called MLP-SDAE, which combines Multilayer Perceptron (MLP) and Stacked Denoising Auto-encoder (SDAE) techniques.
Sougata Sheet +2 more
doaj +1 more source
P‐value calibration in multiple hypotheses testing [PDF]
Stefano Cabras +1 more
openalex +1 more source
Sequence determinants of RNA G‐quadruplex unfolding by Arg‐rich regions
We show that Arg‐rich peptides selectively unfold RNA G‐quadruplexes, but not RNA stem‐loops or DNA/RNA duplexes. This length‐dependent activity is inhibited by acidic residues and is conserved among SR and SR‐related proteins (SRSF1, SRSF3, SRSF9, U1‐70K, and U2AF1).
Naiduwadura Ivon Upekala De Silva +10 more
wiley +1 more source

