Des troupeaux dans la forêt : réinventer l'élevage pour protéger nos forêts

International audienc

Herds in the woods: giving a new sense to livestock farming to protect our woods

International audienc

The social support in kinship foster care: a way to enhance resilience.

This paper analyses how social support enhances family resilience in kinship foster families by involving the families in an educational group programme. Sixty-two kinship foster families from Spain participated in the research. The data were collected before the programme (interviews) and after the programme (interviews and focus groups), and it was analysed by content analysis with the program Atlas.ti. The results show that the factors that contribute most to the development of family resilience are (i) feeling able to look for solutions when faced with problems; (ii) an increase of their network of formal support; (iii) being able to offer support to other foster families; and (iv) feeling that the support they give to parents' foster children is socially recognized

Exploring the needs of parents for achieving reunification: The views of foster children, birth family and social workers in Spain

Abstract Background Family reunification refers to the process through which children and adolescents under a measure of temporary separation (foster care or residential) return to live with their biological families. The research has begun to reflect a paradigm change in intervention and support for these families that affects the consolidation of reunification and the prevention of new processes of separation and reentry into the protection system. Objectives This article examines the needs of parents who are susceptible to an educational intervention from a positive focus that contributes to the consolidation of family reunification. Method Eighteen semi-structured interviews were conducted and 22 discussion groups were convened with 135 participants (63 protection-system professionals, 42 parents and 30 children and adolescents). The data were analyzed through content analysis and were subject to peer revision. Results A series of parents' specific educational needs when their children return home was recognized. These needs can be the objects of family intervention based on a positive focus directed toward highlighting parents' strengths and are related to awareness of family progress, emotional management, giving and receiving help from other families and social support. The participants' comments show that feelings of self-sufficiency and positive reinforcement are fundamental for consolidation of the process. Conclusions Social support through formal and informal networks may be a path to explore for providing more and better support after returning home. Empowering families so that they can be agents of support for other families can be a way to consolidate reunification, allowing families to be active agents in the reunification process. In addition, listening to children's voices can be a good strategy for family consolidation

Adenocarcinoma in Caroli's Disease Treated by Liver Transplantation

Caroli's disease is characterized by congenital cystic dilatation of the intrahepatic bile ducts. In 7% of casea a malignant tumor develops complicating the course of the disease

Detección de grasa de cerdo en caldo deshidratado

The detection of lard in food products is of special interest for reasons of quality, dietetics or religious belief. Works carried out to date have mainly concerned fatty mixtures with others food components. This work studies a complex food products (dehydrated stock model) containing hydrogenated palm and beef fat. An appraisal is carried out regarding the detection sensitivity to the addition of 0.2% lard, using data on sterols and fatty acids in the β position. This last model only appears reliable for the goal proposed.La detección de grasa de cerdo en un producto alimentario presenta un gran interés por motivos de calidad, dietéticos o de creencias religiosas. Los trabajos realizados hasta el presente han incidido fundamentalmente en mezclas de grasas. En el presente trabajo se estudia un alimento complejo (modelo de caldo deshidratado) que contiene grasa de palma hidrogenada y grasa de buey. Se valora la sensibilidad de detección frente a la adición de un 0,2% de grasa de cerdo utilizando datos de esteroles y de los ácidos grasos en posición β. Sólo este último método aparece fiable para el objetivo propuesto

Estabilidad fotoquímica de ácidos hidroxinitrobenzoicos y sus unidades cromofóricas: preparándonos para completar el diagrama de Jablonsky, cuando lo permita el covid-19

Los ácidos hidroxi-nitrobenzoicos (HNBA), han sido propuestos como matrices MALDI oxidantes inductoras de fragmentación dentro de la cámara de ionización, generando fragmentos de estructura predecible (reordenamiento McLafferty), no detectados o de baja intensidad en MALDI-MS/MS empleando matrices clásicas (ácido sinapínico; ácido α-cianocinámico). En particular este fenómeno se observa en el análisis de moléculas peptídicas el que se iniciaría por un Photochemical Induced Single Hydrogen Transfer (PI-SHP) intramolecular involucrando un H de la unidad peptídica (-CO-NH-C-CO-NH-) que lo tomaría el ácido HNBA electrónicamente excitado generando la especie radicalaria (-CO-N(.)-C-CO-NH- ó -CO-NH-C-CO-N(.)H-) a fragmentarse. Al realizar experimentos con diferentes isómeros de posición del ácido HNBA como matrices MALDI, se observó que mostraron diferencias significativas en cuanto a su eficiencia, por ende surge como interrogante el rol que cumple la isomería de posición en la regulación de la competencia entre procesos intramoleculares e intermoleculares de PI-SHP (preponderancia del primero o del segundo) y su consecuencia en la eficiencia como matrices MALDI oxidantes. En este orden de ideas, resulta importante conocer las propiedades fotofísicas de estos compuestos y las posibles PI-SHP intramoleculares, por ello se ha realizado un estudio de la estabilidad fotoquímica (366 nm; 254 nm) en solución (MeCN; MeOH) de seis isómeros del HNBA (3H4NBA; 2H4NBA; 2H5NBA; 3H2NBA; 5H2NBA; 2H3NBA) y de las unidades cromofóricas constituyentes de los mismos orto-, meta- y para-nitrofenoles (NP), nitrobenzoicos (NBA) e hidroxibenzoicos (HBA), así como de su desactivación fluorescente. Se observó que esta es de baja eficiencia y probablemente se realizaría por la vía no radiativa sugiriendo que la energía absorbida se liberaría como calor rápido al medio. El estudio de este aspecto forma parte del plan de trabajo, pero el inicio de la pandemia no ha permitido abordarlo, como tampoco los experimentos de tipo flash fotólisis y la medición de sus potenciales de óxido/reducción.Fil: Silva Rodriguez Oscar E.. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones en Hidratos de Carbono. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones en Hidratos de Carbono; ArgentinaFil: Petroselli, Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones en Hidratos de Carbono. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones en Hidratos de Carbono; ArgentinaFil: Erra Balsells Rosa. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones en Hidratos de Carbono. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones en Hidratos de Carbono; ArgentinaXI Encuentro de Estudiantes de Óptica y Fotónica (EEOF) y del XVI Taller de Óptica y Fotónica (TOPFOT)Buenos AiresArgentinaComité Territorial de Óptica de ArgentinaUniversidad de Buenos Aires. Facultad de Ciencias Exactas y Naturale

Automatic blood glucose classification for gestational diabetes with feature selection: decision trees vs neural networks

Automatic blood glucose classification may help specialists to provide a better interpretation of blood glucose data, downloaded directly from patients glucose meter and will contribute in the development of decision support systems for gestational diabetes. This paper presents an automatic blood glucose classifier for gestational diabetes that compares 6 different feature selection methods for two machine learning algorithms: neural networks and decision trees. Three searching algorithms, Greedy, Best First and Genetic, were combined with two different evaluators, CSF and Wrapper, for the feature selection. The study has been made with 6080 blood glucose measurements from 25 patients. Decision trees with a feature set selected with the Wrapper evaluator and the Best first search algorithm obtained the best accuracy: 95.92%

Usual dietary treatment of gestational diabetes mellitus assessed after control diet in randomized controlled trials : subanalysis of a systematic review and meta-analysis

Peer reviewe