Results 11 to 20 of about 1,672 (135)
Whole-Body Pattern of Muscle Degeneration and Progression in Sarcoglycanopathies. [PDF]
ABSTRACT Objective To characterize whole‐body intramuscular fat distribution pattern in patients with sarcoglycanopathies and explore correlations with disease severity, duration and age at onset. Methods Retrospective, cross‐sectional, multicentric study enrolling patients with variants in one of the four sarcoglycan genes who underwent whole‐body ...
Costa-Comellas L +39 more
europepmc +2 more sources
Muscle Imaging in Inclusion Body Myositis: Refinement of MRI Criteria and Insights Into Upper Body Involvement. [PDF]
ABSTRACT Background The diagnosis of inclusion body myositis (IBM) can be delayed because of its heterogeneous clinical presentation and the lack of specific biomarkers. Muscle imaging has gained increasing relevance over the past decade and is now included among the supportive criteria in the international diagnostic guidelines.
Torchia E +15 more
europepmc +2 more sources
Use of Neural Networks for Tsunami Maximum Height and Arrival Time Predictions
Operational TEWS play a key role in reducing tsunami impact on populated coastal areas around the world in the event of an earthquake-generated tsunami.
Juan F. Rodríguez +4 more
doaj +1 more source
On Partial Stochastic Comparisons Based on Tail Values at Risk
The tail value at risk at level p, with p ∈ ( 0 , 1 ) , is a risk measure that captures the tail risk of losses and asset return distributions beyond the p quantile. Given two distributions, it can be used to decide which is riskier.
Alfonso J. Bello +3 more
doaj +1 more source
Techniques to Deal with Off-Diagonal Elements in Confusion Matrices
Confusion matrices are numerical structures that deal with the distribution of errors between different classes or categories in a classification process. From a quality perspective, it is of interest to know if the confusion between the true class A and
Inmaculada Barranco-Chamorro +1 more
doaj +1 more source
Un frailty aditivo en modelos de supervivencia bivariante
Bivariate survival models based on the presence of an unobseved random covariate, grailty, tend to assume a proportional hazard hypothesis. A bivariate survival model is constructed.
Esteban Navarrete Álvarez +2 more
doaj +1 more source
The capacitated m two node survivable star problem [PDF]
In this paper, we address the problem of network design with redundant connections, often faced by operators of telephone and internet services. The network connects customers with one master node and is built by taking into account the rules that shape ...
Bayá Gabriel +2 more
doaj +1 more source
In the European Union there are two figures of quality protection for agri-food products, according to EC Regulation 1151/2012, which are: Protected Designations of Origin (PDOs) and Protected Geographical Indications.
Vidal Fernando +3 more
doaj +1 more source
Attention Mechanisms and Their Applications to Complex Systems
Deep learning models and graphics processing units have completely transformed the field of machine learning. Recurrent neural networks and long short-term memories have been successfully used to model and predict complex systems.
Adrián Hernández, José M. Amigó
doaj +1 more source
An Inventory Model with Stock-Dependent Demand Rate and Maximization of the Return on Investment
This work presents an inventory model for a single item where the demand rate is stock-dependent. Three fixed costs are considered in the model: purchasing cost, ordering cost and holding cost.
Valentín Pando +2 more
doaj +1 more source

