Results 81 to 90 of about 1,029,479 (280)
Optimization of fermentation technology of functional lotus leaf tea by response surface-principal component analysis [PDF]
Using lotus leaf as raw material, a functional lotus leaf tea was prepared by fermentation with strong-flavor (Nongxiangxing) Daqu. Using the total flavonoids content, total phenols content and sensory score as evaluation indexes, the effect of Daqu ...
MIAO Yuanxin, BI Jinhua, PENG Xinyu, GAO Jia, WANG Jiaying, OUYANG Qianqian
doaj +1 more source
Assessing extrema of empirical principal component functions
The difficulties of estimating and representing the distributions of functional data mean that principal component methods play a substantially greater role in functional data analysis than in more conventional finite-dimensional settings.
Hall, Peter, Vial, Céline
core +2 more sources
Regularized Multivariate Functional Principal Component Analysis
Multivariate Functional Principal Component Analysis (MFPCA) is a valuable tool for exploring relationships and identifying shared patterns of variation in multivariate functional data. However, controlling the roughness of the extracted Principal Components (PCs) can be challenging.
Haghbin, Hossein +2 more
openaire +2 more sources
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
This study is for the case where the available data of power transformer oil–paper insulation is limited to a small amount furfural data, to solve the problems in oil–paper insulation degradation modelling, such as few samples available, unknown function
Yuehan Qu +4 more
doaj +1 more source
Graph Signal Processing (GSP) is a promising framework to analyze multi-dimensional neuroimaging datasets, while taking into account both the spatial and functional dependencies between brain signals.
Farrugia, Nicolas +3 more
core +3 more sources
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
Functional Incapacity and Physical and Psychological Symptoms: How They Interconnect in Chronic Fatigue Syndrome [PDF]
Background: It has been argued that perceived functional incapacity might be a primary characteristic of chronic fatigue syndrome ( CFS) and could be explained by physical symptoms.
Fakhoury, Walid K. H. +2 more
core +1 more source
The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li +2 more
wiley +1 more source
In this paper, we consider a novel estimation for partial functional linear regression models. The functional principal component analysis method is employed to estimate the slope function and the functional predictive variable, respectively.
Cao Peng, Sun Jun
doaj +1 more source

