Results 141 to 150 of about 3,322,529 (303)
TIE‐GCM ROPE ‐ Dimensionality Reduction: Part I
Space WeatherPhysics‐based models of the ionosphere‐thermosphere system have been touted as the next big thing in the context of drag modeling and space operations for decades.
Piyush M. Mehta, Richard J. Licata
doaj +1 more source
Robust Structure Preserving Nonnegative Matrix Factorization for Dimensionality Reduction
, 2016 As a linear dimensionality reduction method, nonnegative matrix factorization (NMF) has been widely used in many fields, such as machine learning and data mining.
Li BF(李冰锋) +2 more
core
Malformin A1–mediated cytotoxicity in ovarian cancer cells occurs through pyroptosis and autophagy
FEBS Open Bio, EarlyView.This study investigated the effects of the natural compound Malformin A1 (MA1) on the cytoskeleton that regulates cell proliferation and migration. Disruption of the cytoskeleton can impair these processes and promote cancer cell death. MA1 disrupted cytoskeletal organization, induced DNA damage, inflammation, activated autophagy, and pyroptosis ...
Nada Abdullah Hassan +11 more
wiley +1 more source
A note on the choice of the number of slices in sliced inverse regression [PDF]
Sliced inverse regression (SIR) is a clever technique for reducing the dimension of the predictor in regression problems, thus avoiding the curse of dimensionality. There exist many contributions on various aspects of the performance of SIR.
Gather, Ursula, Becker, Claudia
core
Multilabel dimensionality reduction via dependence maximization
, 2010 Multilabel learning deals with data associated with multiple labels simultaneously. Like other data mining and machine learning tasks, multilabel learning also suffers from the curse of dimensionality . Dimensionality
Zhi-Hua Zhou, Yin Zhang
core +1 more source
FEBS Open Bio, EarlyView.NMR metabolomics revealed concentration‐dependent metabolic perturbations in HepG2 cells exposed to H2O2. Rifampicin pretreatment enhanced metabolic competence, attenuated toxin‐induced alterations and produced metabolite profiles more consistent with human liver physiology, supporting the use of CYP450‐induced HepG2 models for improved in vitro ...
Maren Jinks +4 more
wiley +1 more source
Some contributions to dimensionality reduction
, 2010 Dimensionality reduction is a long standing challenging problem in the fields of statistical learning, pattern recognition and computer vision. Numerous algorithms have been proposed and studied in the past decades.
Tong, Wei
core +1 more source
Semi-supervised nonlinear dimensionality reduction
, 2006 The problem of nonlinear dimensionality reduction is considered. We focus on problems where prior information is available, namely, semi-supervised dimensionality reduction.
Xin Yang +3 more
core +1 more source
Evaluating the effect of γ‐oryzanol on MASLD pathology using a medaka fish model
FEBS Open Bio, EarlyView.This study explores a liver disease called MASLD, which is increasing worldwide and can lead to serious damage. Researchers used medaka fish instead of rodents to test a food compound, γ‐oryzanol. Fish fed this compound had less liver fat and healthier gut bacteria.
Yukako Ito +7 more
wiley +1 more source
Optimizing photoexcitation conditions for time‐resolved X‐ray solution scattering experiments
FEBS Open Bio, EarlyView.Time‐resolved X‐ray solution scattering (TR‐XSS) is a powerful technique to visualize how proteins change their structure in real time after light activation. Selecting the right laser photoexcitation conditions—fluence, excitation geometry, and sample refresh rate—is critical to maximize the experimental signal while avoiding unwanted side effects ...
Matteo Levantino
wiley +1 more source