Results 41 to 50 of about 1,960,778 (332)
Prediction of protein-protein interaction types using association rule based classification [PDF]
This article has been made available through the Brunel Open Access Publishing Fund - Copyright @ 2009 Park et alBackground: Protein-protein interactions (PPI) can be classified according to their characteristics into, for example obligate or transient ...
Gilbert, D +4 more
core +3 more sources
Soft gluon resummation for associated $t \bar{t} H$ production at the LHC [PDF]
We perform resummation of soft gluon corrections to the total cross section for the process $pp \to t\bar{t}H$. The resummation is carried out at next-to-leading-logarithmic (NLL) accuracy using the Mellin space technique, extending its application to ...
Kulesza, Anna +3 more
core +3 more sources
The survival of human beings is inseparable from microbes. More and more studies have proved that microbes can affect human physiological processes in various aspects and are closely related to some human diseases.
Hao Li +7 more
doaj +1 more source
Early symptoms and sensations as predictors of lung cancer: a machine learning multivariate model. [PDF]
The aim of this study was to identify a combination of early predictive symptoms/sensations attributable to primary lung cancer (LC). An interactive e-questionnaire comprised of pre-diagnostic descriptors of first symptoms/sensations was administered to ...
Bernhardson, B-M. +9 more
core +1 more source
My road in search of elastoplastic soil mechanics
This paper is a record of the author’s 43 years of research, starting in the early 1980s. The state of research in the 1980s is described in Chapter 2, but it was the bitterness of the author’s first encounters with work like this that providentially ...
Akira Asaoka
doaj +1 more source
When evaluating strong ground motions and tsunamis from specified source faults, it is required that the input parameters, such as fault geometry, rake angle, and slip amount, do not deviate from those of a real earthquake.
Takeo Ishibe +4 more
doaj +1 more source
Tutorial: Neuromorphic spiking neural networks for temporal learning
Spiking neural networks (SNN) as time-dependent hypotheses consisting of spiking nodes (neurons) and directed edges (synapses) are believed to offer unique solutions to reward prediction tasks and the related feedback that are classified as reinforcement
Jeong, Doo Seok
core +1 more source
Search for the standard model Higgs boson in ZH -> l+ l- bbbar production with the D0 detector in 9.7 fb-1 of ppbar collisions at sqrt(s)=1.96 TeV [PDF]
We present a search for the standard model (SM) Higgs boson produced in association with a Z boson in 9.7 fb-1 of ppbar collisions collected with the D0 detector at the Fermilab Tevatron Collider at sqrt(s) = 1.96 TeV.
Bertram, Iain +6 more
core +1 more source
Prediction and Prevention of Cancer-Associated Thromboembolism [PDF]
AbstractVenous and arterial thromboembolism are prevalent, highly burdensome, and associated with risk of worse outcomes for patients with cancer. Risk for venous thromboembolism (VTE) varies widely across specific cancer subpopulations. The ability to predict risk of cancer-associated VTE is critical because an optimal thromboprophylaxis strategy is ...
Alok A, Khorana +5 more
openaire +2 more sources
Sickle Cell Disease Is an Inherent Risk for Asthma in a Sibling Comparison Study
ABSTRACT Introduction Sickle cell disease (SCD) and asthma share a complex relationship. Although estimates vary, asthma prevalence in children with SCD is believed to be comparable to or higher than the general population. Determining whether SCD confers an increased risk for asthma remains challenging due to overlapping symptoms and the ...
Suhei C. Zuleta De Bernardis +9 more
wiley +1 more source

