This is the user's manual of MC@NLO 3.4. This package is a practical
implementation, based upon the HERWIG event generator, of the MC@NLO formalism,
which allows one to incorporate NLO QCD matrix elements consistently into...
This is the user's manual of MC@NLO 3.1. This package is a practical
implementation, based upon the HERWIG event generator, of the MC@NLO formalism,
which allows one to incorporate NLO QCD matrix elements consistently into...
This is the user's manual of MC@NLO 2.2. This package is a practical
implementation, based upon the HERWIG event generator, of the MC@NLO formalism,
which allows one to incorporate NLO QCD matrix elements consistently into...
This is the user's manual of MC@NLO 2.0. This package is a practical
implementation, based upon the HERWIG event generator, of the MC@NLO formalism,
which allows one to incorporate NLO QCD matrix elements consistently into...
Mixed-component metal-organic frameworks (MC-MOFs) are metal-organic frameworks that have different linkers or metals with the same structural role. Many of these mixed-ligand or mixed-metal MOFs are solid solutions, in which...
We match next-to-leading order QCD results for single-top hadroproduction
with parton shower Monte Carlo simulations, according to the prescription of
the MC@NLO formalism. In this way, we achieve the first...
With the advancement of technology, social media has become a major source of digital news due to its global exposure. This has led to an increase in spreading fake news and misinformation online. Humans cannot differentiate...
This is the user's manual of MC@NLO 2.3. This package is a practical
implementation, based upon the HERWIG event generator, of the MC@NLO formalism,
which allows one to incorporate NLO QCD matrix elements consistently into...
This is the user's manual of MC@NLO 3.3. This package is a practical
implementation, based upon the HERWIG event generator, of the MC@NLO formalism,
which allows one to incorporate NLO QCD matrix elements consistently into...
Mixed-component metal-organic frameworks (MC-MOFs) are metal-organic frameworks that have different linkers or metals with the same structural role. Many of these mixed-ligand or mixed-metal MOFs are solid solutions, in which...
This paper intends to develop an automatic behavior-based smart phone authentication model by three major phases: feature extraction, weighted logarithmic transformation, and classification. Initially, from the data related to...
Introduction Since its emergence in 1981, the HIV/AIDS pandemic, which poses a serious challenge to mankind, without doubt, has become one of the most serious infectious diseases. Many adolescents around the world are sexually...
This is the user's manual of MC@NLO 3.2. This package is a practical
implementation, based upon the HERWIG event generator, of the MC@NLO formalism,
which allows one to incorporate NLO QCD matrix elements consistently into...
Introduction Since its emergence in 1981, the HIV/AIDS pandemic, which poses a serious challenge to mankind, without doubt, has become one of the most serious infectious diseases. Many adolescents around the world are sexually...
Electronic business relies heatedly on a predictive tool to provide consumers with the products online in a brief moment. E-commerce activities are handled by many buyers globally compared to conventional distribution, and with...
Signaling between and within cells involves reversible changes in the activity of chemicals, ions, metabolites and proteins. In this Special Focus Issue we have collected new articles investigating the function of biological...
Non-Factoid Question Answering (QA) is the next generation of textual QA systems, which gives passage level summaries for a natural language query, posted by the user. The main issue lies in the appropriateness of the generated...
Semantic web-based video surveillance systems can provide strong decision-making support for managers, and they have high requirements for real-time and precision of vehicle detection models in complex night scenes. To address...
BACKGROUND: Although the use of clustering methods has rapidly become one of the standard computational approaches in the literature of microarray gene expression data analysis, little attention has been paid to uncertainty in...
Artificial neural networks (ANN) are widely used for classification, and the training algorithm commonly used is the backpropagation (BP) algorithm. The major bottleneck faced in the backpropagation neural network training is in...
The time-dependent reproduction number, Rt, is a key metric used by epidemiologists to assess the current state of an outbreak of an infectious disease. This quantity is usually estimated using...