On the Design of a Network Digital Twin for the Radio Access Network in 5G and Beyond.

A Network Digital Twin (NDT) is a high-fidelity digital mirror of a real network. Given the increasing complexity of 5G and beyond networks, the use of an NDT becomes useful as a platform for testing configurations and algorithms prior to their application in the real network, as well as for predicting the performance of such algorithms under different conditions. While an NDT can be defined for the different subsystems of the network, this paper proposes an NDT architecture focusing on the Radio Access Network (RAN), describing the components to represent and model the operation of the different RAN elements, and to perform emulations.

Radiomics-Based Assessment of OCT Angiography Images for Diabetic Retinopathy Diagnosis.

Purpose: To evaluate the diagnostic accuracy of machine learning (ML) techniques applied to radiomic features extracted from OCT and OCT angiography (OCTA) images for diabetes mellitus (DM), diabetic retinopathy (DR), and referable DR (R-DR) diagnosis.

Design: Cross-sectional analysis of a retinal image dataset from a previous prospective OCTA study (ClinicalTrials.govNCT03422965).

A Deep Q-Network-Based Algorithm for Multi-Connectivity Optimization in Heterogeneous Cellular-Networks.

The use of multi-connectivity has become a useful tool to manage the traffic in heterogeneous cellular network deployments, since it allows a device to be simultaneously connected to multiple cells. The proper exploitation of this technique requires to adequately configure the traffic sent through each cell depending on the experienced conditions. This motivates this work, which tackles the problem of how to optimally split the traffic among the cells when the multi-connectivity feature is used.

What makes implementation intention interventions effective for promoting healthy eating behaviours? A meta-regression.

This study examines the efficacy of implementation intentions (II), a widely used self-regulatory strategy to help people achieve their goals. Although previous research has shown that the effect of II interventions is significantly higher in promoting healthy eating behaviours than in diminishing unhealthy eating behaviours, the factors that can moderate the effectiveness of these interventions remain unclear. In a meta-analysis of 70 interventions (N = 9689), we confirmed that II interventions for healthy eating behaviours yielded a medium significant effect size (d = 0.

Reducing fat intake using implementation intentions: A meta-analytic review.

Purpose: To study the efficacy of forming implementation intentions for fat intake reduction as well as possible moderating variables.

Methods: Systematic review and meta-analysis of 12 empirical studies (N = 3,323) published in English and Spanish in the Web of Science (Core Collection) and MEDLINE (1990-January 2016) databases.

Results: This study found that the efficacy of planning interventions on fat consumption reduction was higher than expected, as a moderate overall effect of implementation intentions was observed (d = 0.

Fear induced complexity loss in the electrocardiogram of flight phobics: a multiscale entropy analysis.

In this study we explored the changes in the variability and complexity of the electrocardiogram (ECG) of flight phobics (N=61) and a matched non-phobic control group (N=58) when they performed a paced breathing task and were exposed to flight related stimuli. Lower complexity/entropy values were expected in phobics as compared to controls. The phobic system complexity as well as the heart rate variability (HRV) were expected to be reduced by the exposure to fearful stimuli.