Search results for " welfare."

Updated pest categorisation of Xylella fastidiosa

2018

Abstract Following a request from the European Commission, the EFSA Plant Health Panel updated its pest categorisation of Xylella fastidiosa, previously delivered as part of the pest risk assessment published in 2015. X. fastidiosa is a Gram‐negative bacterium, responsible for various plant diseases, including Pierce's disease, phony peach disease, citrus variegated chlorosis, olive quick decline syndrome, almond leaf scorch and various other leaf scorch diseases. The pathogen is endemic in the Americas and is present in Iran. In the EU, it is reported in southern Apulia in Italy, on the island of Corsica and in the Provence‐Alpes‐Côte d'Azur region in France, as well as in the Autonomous r…

Chemosensory enrichment as a simple and effective way to improve the welfare of captive lizards

2018

Surgical implantation of electronic tags does not induce medium-term effect: insights from growth and stress physiological profile in two marine fish…

2020

Abstract Background Telemetry applied to aquatic organisms has recently developed greatly. Physiological sensors have been increasingly used as tools for fish welfare monitoring. However, for the technology to be used as a reliable welfare indicator, it is important that the tagging procedure does not disrupt fish physiology, behaviour and performance. In this communication, we share our medium-term data on stress physiological profile and growth performance after surgical tag implantation in two important marine fish species for European aquaculture, the sea bream (Sparus aurata) and the European sea bass (Dicentrarchus labrax). Results Blood samples after surgical tag implantation (46 day…

Professional stakeholders' views of the use of digital technologies in Spanish long-term care

2018

Demographic change in Europe has resulted in an aging population, which presents new challenges for implementing and managing long-term care (LTC) systems. One solution aims to increase the efficiency of LTC by using digital technologies. This article focuses on professionals’ opinions of the use of digital technologies in the administration of Spain’s long-term care law (Law 39/2006, December 14, LAPAD). This qualitative research is part of SoCaTel, an H2020 project on the co-creation of LTC services in Europe. Ten focus groups were held with health professionals, care-taking relatives, and care workers, and six semistructured in-depth interviews were conducted with care recipients in Cata…

Automated Dental Identification with Lowest Cost Path-Based Teeth and Jaw Separation

2016

Abstract Teeth are some of the most resilient tissues of the human body. Because of their placement, teeth often yield intact indicators even when other metrics, such as finger prints and DNA, are missing. Forensics on dental identification is now mostly manual work which is time and resource intensive. Systems for automated human identification from dental X-ray images have the potential to greatly reduce the necessary efforts spent on dental identification, but it requires a system with high stability and accuracy so that the results can be trusted. This paper proposes a new system for automated dental X-ray identification. The scheme extracts tooth and dental work contours from the X-ray…

Return and Disclosure of Research Results: Parental Attitudes and Needs Over Time in Pediatric Oncology.

2017

Objectives To explore parental attitudes regarding the return and disclosure of research findings in pediatric cancer trials over time. Study design Two surveys were set up to evaluate the stability of parental attitudes. One survey was carried out among 581 parents whose child was diagnosed recently (response rate, 53.5%). A second, population-based survey was set up with a time interval of 4 years between first cancer diagnosis and survey in which 1465 parents were included (response rate, 55.1%). Results Almost all surveyed parents stated a parental right to receive aggregate research results. Fifty-five percent of the parents who recently participated in trials and 62% of those asked af…

The more the merrier? Scoring, statistics and animal welfare in experimental autoimmune encephalomyelitis.

2016

Experimental autoimmune encephalomyelitis (EAE) is a frequently used animal model for the investigation of autoimmune processes in the central nervous system. As such, EAE is useful for modelling certain aspects of multiple sclerosis, a human autoimmune disease that leads to demyelination and axonal destruction. It is an important tool for investigating pathobiology, identifying drug targets and testing drug candidates. Even though EAE is routinely used in many laboratories and is often part of the routine assessment of knockouts and transgenes, scoring of the disease course has not become standardized in the community, with at least 83 published scoring variants. Varying scales with diffe…

Análisis de la presencia de dietistas-nutricionistas en hospitales de Andalucía

2017

Introducción: La figura profesional de referencia en el tratamiento dietético en el ámbito hospitalario es el dietista-nutricionista (DN). Su interés público coincide con los datos sobre su actuación y eficiencia clínica. El objetivo es describir su presencia en hospitales públicos y privados de Andalucía y analizar en qué medida se cumplen los criterios de la Declaración de postura de la Asociación Española de Dietistas-Nutricionistas (AEDN) sobre la incorporación del DN en el Sistema Nacional de Salud de 2009.Material y métodos: Se seleccionó como muestra hospitales públicos y privados del Registro de Centros, Establecimientos y Servicios Sanitarios de la Consejería de Salud y Bienestar S…

Adherence to recommended intake of pulses and related factors in university students in the UniHcos project

2020

This study was supported by the National Drug Plan, Ministry of Health, Social Services and Equality of Spain (Grants: 2010|145 and 2013|034).

Are There Any Parameters Missing in the Mathematical Models Applied in the Process of Spreading COVID-19?

2021

Simple Summary Nowadays, enhancing development of mathematical models is very important to help in the prediction of coronavirus disease 2019 (COVID1-19). However, the vast majority of published model-based predictions do not cover people who left the epidemic COVID-19 positive (alive) and they must be included in studies to guarantee a more accurate model for application in public health. The epidemic development phenomenon can be obtained with a modelling framework. Abstract On 11 March 2020, coronavirus disease 2019 (COVID-19) was declared a pandemic by the World Health Organization (WHO). As of 12.44 GMT on 15 January 2021, it has produced 93,640,296 cases and 2,004,984 deaths. The use …