Results 111 to 120 of about 4,208,641 (395)
Immunoregulatory mechanisms of the arachidonic acid pathway in cancer
The central role of the arachidonic acid (AA) pathway in anticancer immunity. Enzymes and metabolites of the AA pathway can play both immunosuppressive and immunostimulatory roles in the tumor microenvironment. Therefore, their tailored targeting could be beneficial as a standalone therapy or in combination with current cancer immunotherapy.
Maria Tredicine+3 more
wiley +1 more source
Principal Component Analysis for Functional Data on Riemannian Manifolds and Spheres [PDF]
Functional data analysis on nonlinear manifolds has drawn recent interest. Sphere-valued functional data, which are encountered for example as movement trajectories on the surface of the earth, are an important special case. We consider an intrinsic principal component analysis for smooth Riemannian manifold-valued functional data and study its ...
arxiv
Principal Component Analysis Of Factors Determining Phosphate Rock Dissolution On Acid Soils [PDF]
Many of the agricultural soils in Indonesia are acidic and low in both total and available phosphorus which severely limits their potential for crops production. These problems can be corrected by application of chemical fertilizers.
Hashim, A. (Azizah)+3 more
core
The NlpC_P60 superfamily of peptidases is recognised by its key role in bacterial cell wall homeostasis. Recently, studies have also described the involvement of NlpC_P60‐like enzymes in bacterial competitive mechanisms and pathogenesis across several lineages.
Catharina dos Santos Silva+1 more
wiley +1 more source
This paper compares the dimension reduction or feature extraction techniques, e.g., Principal Component Analysis, Factor Analysis, Independent Component Analysis and Neural Networks Principal Component Analysis, which are used as techniques for ...
Rogelio+2 more
doaj
A Principal Component Analysis in Switchgrass Chemical Composition
In recent years, bioenergy has become a promising renewable energy source that can potentially reduce the greenhouse emissions and generate economic growth in rural areas.
Mario Aboytes-Ojeda+7 more
doaj +1 more source
Derivative Principal Component Analysis for Representing the Time Dynamics of Longitudinal and Functional Data [PDF]
We propose a nonparametric method to explicitly model and represent the derivatives of smooth underlying trajectories for longitudinal data. This representation is based on a direct Karhunen--Lo\`eve expansion of the unobserved derivatives and leads to the notion of derivative principal component analysis, which complements functional principal ...
arxiv
Making tau amyloid models in vitro: a crucial and underestimated challenge
This review highlights the challenges of producing in vitro amyloid assemblies of the tau protein. We review how accurately the existing protocols mimic tau deposits found in the brain of patients affected with tauopathies. We discuss the important properties that should be considered when forming amyloids and the benchmarks that should be used to ...
Julien Broc, Clara Piersson, Yann Fichou
wiley +1 more source
Principal component analysis for authorship attribution
Background: To recognize the authors of the texts by the use of statistical tools, one first needs to decide about the features to be used as author characteristics, and then extract these features from texts. The features extracted from texts are mostly
Amir Jamak, Alen Savatic, Mehmet Can
doaj
Group-Wise Principal Component Analysis for Exploratory Intrusion Detection
Intrusion detection is a relevant layer of cybersecurity to prevent hacking and illegal activities from happening on the assets of corporations. Anomaly-based Intrusion Detection Systems perform an unsupervised analysis on data collected from the network
Jose Camacho+4 more
doaj +1 more source