Resultados de investigación

main goal of the project “IENE11- Empowering nurses and healthcare professionals to promote vaccination and tackle vaccine hesitancy- PROVAC project” is to increase the level of knowledge on vaccine and vaccination of the healthcare professionals and support them to promote vaccination and tackle with vaccine hesitancy by provision of reliable, trustful and up-to-date information sources on vaccine and vaccination, by creating information tools addressing people coming from disadvantaged groups and people that are more vaccine hesitant to help them get better informed, overcome their fears and strengthening confidence in vaccines. Under this general aim, the aims of the Intellectual Output 1 (IO1) were to collect current understanding on the knowledge on vaccine and vaccination of general people and the way that healthcare professionals can be supported to promote vaccination and tackle with vaccine hesitancy by provision of reliable, trustful and up-to- date information sources on vaccine and vaccination. In other words, the aim of the IO1 of this project was the creation of a compendium of valuable and trustful informative sources on different issues of vaccination and immunization, promoting vaccination and tackle vaccine hesitancy. Decision-making on having or not a vaccination has been found related to individuals’ education, emotional response, understanding, personal values, culture, and social norms. During the Covid-19 pandemic, vaccination rates have been found lower among people belonging to racial/ethnic minority populations and other underserved and socioeconomically disadvantaged groups. In addition, misinformation about COVID-19 and the vaccines has been easily accessible in many languages creating an urgency for health campaigns to face misinformation with factual, culturally and linguistically appropriate messaging. Health care professionals should be able to deal with ethical concerns for example those related to the use of fetal cell lines in some vaccines. The vaccination for Covid-19 is not the only case. It could be considered the tip of the iceberg, which is visible because of the pandemic. Thus, this information guide includes informative sources in four languages (EL, EN, ES, RO), referring to all types of vaccines. This information guide is a tool to be used not only by the general population, but also by health professionals, as their advice is very important for people to decide whether to accept vaccines.

Numerical data corresponding to the publication in Scientific Reports

Meteorological data in Western Africa before 1850 are compiled in this dataset. Data include information from some countries (Senegal, Gambia, Sierra Leone, Liberia, Ghana, Nigeria). The dataset consists in brief meteorological series with instrumental data (temperature, pressure, wind direction), as well as qualitative descriptions on meteorological conditions (rainfall, cloudiness, storms, etc) .

Purpose - Consumer affinity may be a key factor in overcoming ethnocentric barriers and promoting a favourable attitude towards specific foreign countries and their products. However, progress in knowledge of this concept in international marketing literature has suffered from a lack of integration and analysis. The purpose of this study was to shed new light on the concept of consumer affinity based on a comprehensive systematic review of the literature, provide a critical analysis of previous research in terms of conceptual, methodological and substantive issues and problems, and offer avenues for future research. Design/methodology/approach – This structured systematic review of consumer affinity included articles published in international peer-reviewed journals from 2008 to 2021, examining key conceptual, operational and substantive aspects. Findings - This systematic review of articles on consumer affinity published over the past 14 years revealed that this line of research is a growing vibrant domain in the context of international marketing. It also showed that current knowledge of consumer affinity is characterized by theoretical inconsistencies, contradictory empirical results and scant international marketing research in the affinity domain. Originality – This article provides an overview of extant literature on consumer affinity and yields a consolidated image of its current status, as well as a research agenda that raises new questions for the academic community.

Climatic information recorded by the physician Francisco Fernández Navarrete in Granada (southern Spain) during the first third of the 18th century. Observations are included in the book “Cielo y suelo granadino” (Sky and soil in Granada), and consist of qualitative comments relating climatic conditions to illness and diseases from 1706 to 1730, as well as instrumental observations (using an “English barometer” and a “Florentine thermometer”) from December 1728 to February 1730.

Energy meters provide valuable information that can be used to determine important features such as energy consumption of electrical devices and consumption habits in corporate, residential or public institutions. This information is crucial to establish energy saving strategies. With this aim, different approaches have been proposed in the literature, including non-intrusive load monitoring techniques, which enable the energy disaggregation of appliances and devices through a centralized measurement taken at panel level using a metering infrastructure. Generally, the accuracy of these techniques increases as more information is available on the analyzed signals or through subsequent post-computed values. Active power, reactive power, or even current harmonics measurements can be used for this task. However, the use of these and other recently proposed power and current features increases the dimensionality and, therefore, the complexity of the algorithms involved in the disaggregation process. Therefore, it is necessary to apply advanced techniques to reduce the dimensionality of the data, as well as the possible linear dependence between variables. This paper compares the performance of 8 data pretreatment methods and 6 dimensionality reduction techniques to data retrieved by an advanced metering infrastructure in a real environment consisting of 10 different home appliances. Results obtained from the comparative analysis show that the information provided by raw data can be enhanced by using pretreatment techniques and dimensionality reduction methods, especially when a custom combination of active power and current harmonics measures is considered. Keywords: Energy monitoring, energy data disaggregation, pretreatment methods, dimensionality reduction, harmonics, home appliances.

Resumen: Base de datos municipalizada para el conjunto de España con información para la identificación y caracterización de los sistemas agroalimentarios territorializados. Contenido: Información municipalizada sobre: superficie de áreas protegidas, % superficie municipal de áreas protegidas, Superficie Agraria Útil (SAU), % de superficie municipal correspondiente a Superficie Agraria Útil (SAU), Superficie de olivar (ha), % de superficie municipal correspondiente a olivar, Superficie de viñedo (ha), % de superficie municipal correspondiente a viñedo, Superficie de arrozales (ha), % de superficie municipal correspondiente a arrozales, Superficie de mosaico de cultivos (ha), % de superficie municipal correspondiente a mosaico de cultivos, Superficie de frutales (ha), % de superficie municipal correspondiente a frutales, Superficie de cereales de secano (ha), % de superficie municipal correspondiente a cereales de secano, Superficie agroforestal (ha), % de superficie municipal agroforestal, Superficie de prados (ha), % de superficie municipal de prados, número de grupos de desarrollo rural, número de Denominaciones de Origen Protegidas.

An excel-based sheet to calculate training zones and heart rate intensity according to the Karvonen formula (1). The user will download the heart rate data second-by-second from the device (ej.: Polar, Garmin, FitBit…). After providing the participant's maximum heart rate (maxHR) and resting heart rate (resting HR), the user will be able to set the different work zones according to their preferences using the heart rate reserve (%HRR). Once these data are entered, the excel will return the time (hh:mm:ss and % format) that the person has been working in the different zones according to Karvonen's formula. In addition, it includes Tanaka's formula (2) to calculate the maxHR in case it is not known by the user. (1) Karvonen, M. J., Kentala, E., and Mustala, O. (1957). The effects of training on heart rate: a longitudinal study. Ann. Med. Exp. Biol. Fenn., 35:307–315. (2) Tanaka, H et al. “Age-predicted maximal heart rate revisited.” Journal of the American College of Cardiology vol. 37,1 (2001): 153-6.

Data corresponding to the published trials

Data from the trials carried out in the publication