Social mood during the Covid-19 vaccination process in Spain. A sentiment analysis of tweets and social network leaders.

In accordance with the cognitive orientation contemplated in the resolution of complex problems posed in public decision-making using decision support systems and social networks, this work studies the possibility of identifying the state of mind of society through the state of mind of network leaders. Using sentiment and emotion analysis as research techniques and as a representative social network, the study corpus considers tweets and retweets in Spanish about COVID-19 in the period from February 27, 2020 to December 31, 2021. As cognitive orientation claims, the proposed techniques will allow us to extract the arguments that support the different positions and decisions from the analysis of the tweets issued exclusively by social leaders.

Evolution of social mood in Spain throughout the COVID-19 vaccination process: a machine learning approach to tweets analysis.

Objectives: This paper presents a new approach based on the combination of machine learning techniques, in particular, sentiment analysis using lexicons, and multivariate statistical methods to assess the evolution of social mood through the COVID-19 vaccination process in Spain.

Methods: Analysing 41,669 Spanish tweets posted between 27 February 2020 and 31 December 2021, different sentiments were assessed using a list of Spanish words and their associations with eight basic emotions (anger, fear, anticipation, trust, surprise, sadness, joy and disgust) and three valences (neutral, negative and positive). How the different subjective emotions were distributed across the tweets was determined using several descriptive statistics; a trajectory plot representing the emotional valence vs narrative time was also included.

A synchrotron computed tomography dataset for validation of longitudinal tensile failure models based on fibre break and cluster development.

We performed tensile tests on two carbon fibre/epoxy composites with continuous scanning using synchrotron computed tomography (CT). Both composites were cross-ply laminates, and two specimens were tested for each composite. The voxel size was sufficiently small to recognize individual fibres and fibre breaks.

Equitable mitigation to achieve the 1.5 °C goal in the Mediterranean Basin.

The mitigation required to achieve the 1.5 °C goal of the Paris Agreement entails drastic emissions reductions. The mentioned goal is of special interest for regions like the Mediterranean where the average temperature is rising above the world average with the consequential risk for the future viability of its different ecosystems.

[Effect of low -level laser therapy and exercise in reducing the symptoms of disease in patients with osteoarthritis of the knee].

Introduction: Osteoarthritis is the most common disease of the joints contributing to the failure of movement. The disease mostly affects the older part of the population, and is associated with suffering and reduced quality of life. Knee osteoarthritis contributes to joint dysfunction of varying severity.