Results 71 to 80 of about 977,147 (296)

Deformable Convolutional Matrix Factorization for Document Context-Aware Recommendation in Social Networks

open access: yesIEEE Access, 2019
The extreme sparsity of the rating data seriously affects the recommendation quality of the recommendation system. In order to alleviate the problem of data sparsity, some convolutional neural network (CNN)-based models make full use of text data to ...
Honglong Chen   +6 more
doaj   +1 more source

Thermal Equilibration of 176-Lu via K-Mixing

open access: yes, 2008
In astrophysical environments, the long-lived (\T_1/2 = 37.6 Gy) ground state of 176-Lu can communicate with a short-lived (T_1/2 = 3.664 h) isomeric level through thermal excitations.
Arthur E. Champagne   +5 more
core   +1 more source

Non-resonant direct p- and d-wave neutron capture by 12C [PDF]

open access: yes, 1998
Discrete gamma-rays from the neutron capture state of 13C to its low-lying bound states have been measured using pulsed neutrons at En = 550 keV. The partial capture cross sections have been determined to be 1.7+/-0.5, 24.2+/-1.0, 2.0+/-0.4 and 1.0+/-0.4
A. Mengoni   +18 more
core   +2 more sources

Full matrix capture with time-efficient auto-focusing of unknown geometry through dual-layered media [PDF]

open access: yesInsight - Non-Destructive Testing and Condition Monitoring, 2013
This paper presents a method for time-efficient auto-focusing through a profile of unknown geometry applicable to immersion testing. It is demonstrated that capture of the complete time domain signal using the full matrix capture technique allows for rapid ultrasonic profile mapping of a complex geometry through the use of Fermat's principle to find ...
Sutcliffe, Mark   +5 more
openaire   +2 more sources

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

open access: yesMolecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel   +6 more
wiley   +1 more source

Missing signposts on the roadmap to quality: a call to improve medication adherence indicators in data collection for population research

open access: yesFrontiers in Pharmacology, 2013
Purpose: Poor adherence to prescribed medicines is associated with increased rates of poor outcomes, including hospitalization, serious adverse events, and death, and is also associated with increased healthcare costs.
Bradi B. Granger   +9 more
doaj   +1 more source

On the applicability of the impulse approximation for radiative capture into bound and continuum states [PDF]

open access: yes, 1986
. A comparison between the impulse approximation ( IA) and the strong-potential Born approximation (SPB) is carried out for radiative capture of a target electron into excited bound states ( R E C) and into continuum states (radiative ionisation, R I)
Jakubaßa-Amundsen, Doris H.
core  

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

open access: yesMolecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson   +9 more
wiley   +1 more source

Matrix-State Particle Filter for Wishart Stochastic Volatility Processes [PDF]

open access: yes
This work deals with multivariate stochastic volatility models, which account for a time-varying variance-covariance structure of the observable variables.
Domenico Sartore, Roberto Casarin
core  

RIPK4 function interferes with melanoma cell adhesion and metastasis

open access: yesMolecular Oncology, EarlyView.
RIPK4 promotes melanoma growth and spread. RIPK4 levels increase as skin lesions progress to melanoma. CRISPR/Cas9‐mediated deletion of RIPK4 causes melanoma cells to form less compact spheroids, reduces their migratory and invasive abilities and limits tumour growth and dissemination in mouse models.
Norbert Wronski   +9 more
wiley   +1 more source

Home - About - Disclaimer - Privacy