eHealth cognitieve gedragstherapie voor patiënten met chronische somatische aandoeningen

-based cognitive behavioral therapy for patients with chronic somatic conditions Many patients with chronic somatic conditions regularly experience impairments in physical and psychological functioning in their daily life. A way to support these patients is to offer online programs based on cognitive behavioral therapy (Internet-based cognitive behavioral therapy; ICBT). Although a substantial evidence base already exists regarding the effectiveness of ICBT in treating, for example, depressive symptoms, research on ICBT for chronic somatic conditions is still upcoming. In recent years, a growing number of randomized controlled trials were published that examined the effectiveness of ICBT in various chronic somatic conditions. To systematically and quantitatively evaluate the results of these studies, a metaanalysis was conducted, the results of which are discussed in this article. Results indicated that ICBT is also overall effective for chronic somatic conditions, with small to moderate effect sizes. Larger effects were occasionally found for disease-specific outcomes such as disease symptoms and disease-specific quality of life. A longer treatment duration was found to be marginally related to a larger decrease in depressive symptoms. In addition to the results of the meta-analysis, this article provides an overview of the recent literature regarding several clinically relevant ICBT topics: cost-effectiveness, guided ICBT interventions versus self-help, the role of treatment duration, and optimal design and implementation of eHealth interventions.FSW - Self-regulation models for health behavior and psychopathology - ou

Gestión del conocimiento. Perspectiva multidisciplinaria. Volumen 6

El libro “Gestión del Conocimiento. Perspectiva Multidisciplinaria”, Volumen 6, de la Colección Unión Global, es resultado de investigaciones. Los capítulos del libro, son resultados de investigaciones desarrolladas por sus autores. El libro es una publicación internacional, seriada, continua, arbitrada de acceso abierto a todas las áreas del conocimiento, que cuenta con el esfuerzo de investigadores de varios países del mundo, orientada a contribuir con procesos de gestión del conocimiento científico, tecnológico y humanístico que consoliden la transformación del conocimiento en diferentes escenarios, tanto organizacionales como universitarios, para el desarrollo de habilidades cognitivas del quehacer diario. La gestión del conocimiento es un camino para consolidar una plataforma en las empresas públicas o privadas, entidades educativas, organizaciones no gubernamentales, ya sea generando políticas para todas las jerarquías o un modelo de gestión para la administración, donde es fundamental articular el conocimiento, los trabajadores, directivos, el espacio de trabajo, hacia la creación de ambientes propicios para el desarrollo integral de las instituciones

SINGLE NUCLEOTIDE POLYMORPHISM (SNP) MARKER DISCOVERY AND GENETIC MAPPING ASSOCIATED WITH RESISTANCE TO BEAN GOLDEN YELLOW MOSAIC VIRUS

INTRODUCTION: Bean Golden Yellow Mosaic Virus (BGYMV) is a severe disease of common bean (Phaseolus vulgaris L.) that causes important yield losses. BGYMV is a geminivirus (family Geminiviridae) transmitted by Whitefly in tropical and sub-tropical countries of Latin America and the Caribbean. Breeding for resistance to the virus has been the most effective strategy for controlling the disease. One resistance source, A429, derived from the Durango landrace Garrapato (G2402), and subsequent DOR lines developed at CIAT, were shown to contain a single recessive gene, bgm-1, which reduces mosaic and yellowing symptoms. The marker SR2 has been used in marker-assisted selection programs because it is linked to the bgm-1 gene for resistance to BGYMV. In this study, SNP markers were developed from Genotyping by Sequencing (GBS) data on the region associated with the bgm-1 gene. These SNPs markers could constitute an important tool for marker-assisted selection programs for improvement of common bean cultivars with resistance to BGYMV

Síndrome de Opalski, una variante del síndrome de Wallenberg: reporte de caso y revisión de la literatura

Se presenta un caso local de la variante de Opalski, del síndrome medular lateral (síndrome de Wallenberg) y se hace una revisión de la literatura sobre los síntomas de este cuadro clínico, así como las posibles razones que explican esta modificación en la expresión clínica. La variante de Opalski fue descrita en 1948, ochenta y nueve años después de la descripción original del síndrome por Adolf Wallenberg, su principal característica es la presencia de hemiparesia o hemiplejía del cuerpo del mismo lado de la lesión del bulbo raquídeo. La etiología es vascular en la mayoría de casos, por obstrucción de la arteria cerebelosa postero-inferior o de los ostium de vasos penetrantes que se originan en la arteria. No hay estudios que reporten la incidencia exacta de este cuadro clínico a nivel mundial, sin embargo, su presentación no es tan infrecuente. Lo más interesante al analizar cada caso, es que los hallazgos semiológicos son una muestra de la profunda organización del sistema nervioso

Genomic selection on a panel of elite Andean breeding lines of common bean (Phaseolus vulgaris L.)

Common bean breeding in the tropics has benefited from the use of marker assisted selection to accelerate the breeding cycle. It uses individual markers previously identified to be significantly associated with targeted QTLs. However, some limitations arise when identifying and quantifying a large number of minor effect loci governing quantitative traits through standard QTL analysis and marker tagging. Genomic selection (GS) offers a promising approach for breeding by using many markers as predictors of the performance of individuals in a population1,2. This alternative strategy does not provide direct information about the underlying loci and genes that control quantitative traits, but instead offers a valuable selection criterion to be implemented in a breeding scheme. Different GS studies have been recently reported in plant breeding, targeting complex traits for many species with interesting results. In this study we want to assess the prediction accuracy of different genomic selection models in a collection of Andean bean breeding lines from CIAT