Results 51 to 60 of about 25,555 (257)
Reducing car trips and promoting green commuting modes are generally considered important solutions to reduce the increase of energy consumption and transportation CO2 emissions.
Chuan Ding +3 more
doaj +1 more source
Optimal Encoding in Stochastic Latent-Variable Models
In this work we explore encoding strategies learned by statistical models of sensory coding in noisy spiking networks. Early stages of sensory communication in neural systems can be viewed as encoding channels in the information-theoretic sense. However,
Michael E. Rule +2 more
doaj +1 more source
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
Latent variable verification. [PDF]
Latent variable verification.
Katarzyna Tworek (12413368) +3 more
core +1 more source
Latent variables and the network perspective [PDF]
AbstractWe discuss the latent variables construct, particularly in regard to the following: that latent variables are considered as the sole explanatory factor of a disorder; that pragmatic concerns are ignored; and that the relationship of these variables to biological markers is not addressed.
Belzung, Catherine +3 more
openaire +4 more sources
Mutant NPM1 in Acute Myeloid Leukemia Initiation and Maintenance
NPM1 mutations drive acute myeloid leukemia by acting as neomorphic transcriptional regulators that cooperate with Menin–MLL and XPO1 to sustain HOX/MEIS1 expression and block differentiation. Targeting these mutant‐specific transcriptional dependencies provides a rational therapeutic strategy for NPM1‐mutated AML.
Yanan Jiang +3 more
wiley +1 more source
Latent Variable Modelling: A Survey* [PDF]
Abstract. Latent variable modelling has gradually become an integral part of mainstream statistics and is currently used for a multitude of applications in different subject areas. Examples of ‘traditional’ latent variable models include latent class models, item–response models, common factor models, structural equation models, mixed or random ...
SKRONDAL, ANDERS, RABE‐HESKETH, SOPHIA
openaire +4 more sources
ABSTRACT Objective Super‐Refractory Status Epilepticus (SRSE) is a rare, life‐threatening neurological emergency with unclear etiology in many cases. Mitochondrial dysfunction, often due to disease‐causing genetic variants, is increasingly recognized as a cause, with each gene producing distinct pathophysiological mechanisms.
Pouria Mohammadi +2 more
wiley +1 more source
Improved Face Recognition Across Poses using Fusion of Probabilistic Latent Variable Models [PDF]
Uncontrolled environments have often required face recognition systems to identify faces appearing in poses that are different from those of the enrolled samples.
Pulungan, R +9 more
core +1 more source
A Latent Factor Analysis of Working Memory Measures Using Large-Scale Data
Working memory (WM) is a key cognitive system that is strongly related to other cognitive domains and relevant for everyday life. However, the structure of WM is yet to be determined.
Otto Waris +9 more
doaj +1 more source

