Results 91 to 100 of about 4,208,641 (395)
The mitochondrial outer membrane iron–sulphur ([Fe‐S]) protein mitoNEET is a target of the type‐2 diabetes drug pioglitazone. Its unknown molecular function is linked to respiratory complex activity and mitochondrial function. We discovered that O2 protects the mitoNEET [2Fe‐2S] cluster against NO oxidation and desensitization towards reduction by H2S.
Thao Nghi Hoang+9 more
wiley +1 more source
New Interpretation of Principal Components Analysis [PDF]
A new look on the principal component analysis has been presented. Firstly, a geometric interpretation of determination coefficient was shown. In turn, the ability to represent the analyzed data and their interdependencies in the form of easy-to-understand basic geometric structures was shown.
arxiv +1 more source
Simplicial Nonlinear Principal Component Analysis [PDF]
We present a new manifold learning algorithm that takes a set of data points lying on or near a lower dimensional manifold as input, possibly with noise, and outputs a simplicial complex that fits the data and the manifold.
Hunt, Thomas, Krener, Arthur J.
core +1 more source
The glacier ice worm Mesenchytraeus solifugus survives year‐round at 0 °C. Its ATP6 subunit, which forms a regulatory component of the proton pore in mitochondrial ATP synthase, has a carboxy‐terminal extension not found in any other organism examined to date. Here, we show that fusion of this extension to the homologous AtpB protein in E. coli results
Truman Dunkley+2 more
wiley +1 more source
Low-Light Image Enhancement by Principal Component Analysis
Under extreme low-lighting conditions, images have low contrast, low brightness, and high noise. In this paper, we propose a principal component analysis framework to enhance low-light-level images with decomposed luminance–chrominance components.
Steffi Agino Priyanka+2 more
doaj +1 more source
Optimal principal component Analysis of STEM XEDS spectrum images [PDF]
STEM XEDS spectrum images can be drastically denoised by application of the principal component analysis (PCA). This paper looks inside the PCA workflow step by step on an example of a complex semiconductor structure consisting of a number of different phases.
arxiv +1 more source
Penggunaan Principal Component Analysis dan Euclidean Distance untuk Identifikasi Citra Tanda Tangan [PDF]
Teknologi computer vision untuk identifikasi identitas spesifik seseorang telah banyak berkembang, baik identifikasi melalui sidik jari, retina, suara, bahkan tanda tangan. Tanda tangan merupakan identitas autentifikasi yang umum digunakan.
Utami, E. (Ema)+1 more
core
In modular polyketide synthases, the dehydratase (DH) domain catalyzes the dehydration reaction of the β‐hydroxyacyl unit attached to the cognate acyl carrier protein (ACP) domain. However, it is unclear how DH interacts with ACP during the reaction. In this study, we identified DH–ACP interface residues, providing the first detailed insights into DH ...
Kaede Kotagiri+8 more
wiley +1 more source
Sparse Principal Components Analysis: a Tutorial [PDF]
The topic of this tutorial is Least Squares Sparse Principal Components Analysis (LS SPCA) which is a simple method for computing approximated Principal Components which are combinations of only a few of the observed variables. Analogously to Principal Components, these components are uncorrelated and sequentially best approximate the dataset.
arxiv
INTRODUCTION Statistical methods such as Principal Component Analysis (PCA) and Factor Analysis (FA) are increasingly popular in Nutritional Epidemiology studies.
R. O. Santos+5 more
semanticscholar +1 more source