Nursing diagnoses related to skin: operational definitions

OBJECTIVE: to validate the operational definitions of the defining characteristics and risk factors of the three NANDA International (NANDA-I) nursing diagnoses and to revise these diagnoses' definitions. METHOD: content validation of nursing diagnosis. 146 defining characteristics and risk factors were identified in the literature in Brazilian and international databases. This was followed by content validation of the definitions of these diagnoses (presented by NANDA-I) and of the operational definitions (developed by the researchers) of the defining characteristics and risk factors, carried out by six expert nurses, regarding relevance, clarity and comprehensiveness. RESULT: of the 146 defining characteristics and risk factors, 22 were considered redundant and were excluded. The experts proposed changing the definitions of the diagnoses of Impaired Tissue Integrity and Risk for Impaired Skin Integrity. It was possible to identify various defining characteristics and risk factors which are not present in the NANDA-I taxonomy but which are indicated in the literature. CONCLUSION: the process attained its objective of producing valid operational definitions for defining characteristics and risk factors, which will permit the undertaking of validation studies for these diagnoses. The study's contribution to advancing scientific knowledge consists in its presenting clearer operational definitions for these diagnoses and a higher number of defining characteristics and risk factors, which will assist the nurses in the identification and use of the same with greater accuracy in clinical practice.OBJETIVO: validar las definiciones operacionales de las características definidoras y factores de riesgo de los tres diagnósticos de enfermería relacionados a la piel de la NANDA International (NANDA-I) y revisar las definiciones de eses diagnósticos. MÉTODO: validación de contenido de diagnóstico de enfermería. Se identificaron 146 características definidoras y factores de riesgo en la literatura en las bases de datos nacionales e internacionales. Enseguida, se realizó la validación de contenido de las definiciones de estos diagnósticos, presentadas por la NANDA-I y de las definiciones operacionales, elaboradas por las investigadoras, de las características definidoras y factores de riesgo, por seis enfermeras expertas, en cuanto a la pertinencia, clareza y abarcamiento. RESULTADO: de las 146 características definidoras y factores de riesgo, 22 fueron considerados redundantes y excluidos. Los peritos propusieron alterar la definición de los diagnósticos de Integridad Tisular Dañada y Riesgo de Integridad de la Piel Dañada. Fue posible identificar varias características definidoras y factores de riesgo que no están presentes en la taxonomía de la NANDA-I, pero, que fueron apuntados por la literatura. CONCLUSIÓN: el proceso alcanzó el objetivo de producir definiciones operacionales válidas para características definidoras y factores de riesgo, lo que permitirá realizar estudios de validación de estos diagnósticos. La contribución del estudio para el avance del conocimiento científico consiste en presentar definiciones operacionales más claras de estos diagnósticos y un número mayor de características definidoras y factores de riesgo que podrá aportar con los enfermeros en la identificación y utilización de los mismos con mayor precisión en la práctica clínica.OBJETIVO: validar as definições operacionais das características definidoras e fatores de risco dos três diagnósticos de enfermagem, relacionados à pele, da NANDA International (NANDA-I), e revisar as definições desses diagnósticos. MÉTODO: validação de conteúdo de diagnóstico de enfermagem. Identificaram-se 146 características definidoras e fatores de risco na literatura, nas bases de dados nacionais e internacionais. Em seguida, realizou-se a validação de conteúdo das definições desses diagnósticos, apresentadas pela NANDA-I e das definições operacionais, elaboradas pelas pesquisadoras, das características definidoras e fatores de risco, por seis enfermeiras peritas, quanto à pertinência, clareza e abrangência. RESULTADOS: das 146 características definidoras e fatores de risco, 22 foram considerados redundantes e excluídos. Os peritos propuseram mudar a definição dos diagnósticos de Integridade Tissular Prejudicada e Risco de Integridade da Pele Prejudicada. Foi possível identificar várias características definidoras e fatores de risco que não estão presentes na taxonomia da NANDA-I, mas que foram apontados pela literatura. CONCLUSÃO: o processo atingiu o objetivo de produzir definições operacionais válidas para características definidoras e fatores de risco, o que permitirá realizar estudos de validação desses diagnósticos. A contribuição do estudo para o avanço do conhecimento científico consiste em apresentar definições operacionais mais claras desses diagnósticos e número maior de características definidoras e fatores de risco que poderão contribuir para que os enfermeiros identifiquem e se utilizem dos mesmos com maior acurácia na prática clínica

ATHENA: A knowledge-based hybrid backpropagation-grammatical evolution neural network algorithm for discovering epistasis among quantitative trait Loci

<p>Abstract</p> <p>Background</p> <p>Growing interest and burgeoning technology for discovering genetic mechanisms that influence disease processes have ushered in a flood of genetic association studies over the last decade, yet little heritability in highly studied complex traits has been explained by genetic variation. Non-additive gene-gene interactions, which are not often explored, are thought to be one source of this "missing" heritability.</p> <p>Methods</p> <p>Stochastic methods employing evolutionary algorithms have demonstrated promise in being able to detect and model gene-gene and gene-environment interactions that influence human traits. Here we demonstrate modifications to a neural network algorithm in ATHENA (the Analysis Tool for Heritable and Environmental Network Associations) resulting in clear performance improvements for discovering gene-gene interactions that influence human traits. We employed an alternative tree-based crossover, backpropagation for locally fitting neural network weights, and incorporation of domain knowledge obtainable from publicly accessible biological databases for initializing the search for gene-gene interactions. We tested these modifications <it>in silico </it>using simulated datasets.</p> <p>Results</p> <p>We show that the alternative tree-based crossover modification resulted in a modest increase in the sensitivity of the ATHENA algorithm for discovering gene-gene interactions. The performance increase was highly statistically significant when backpropagation was used to locally fit NN weights. We also demonstrate that using domain knowledge to initialize the search for gene-gene interactions results in a large performance increase, especially when the search space is larger than the search coverage.</p> <p>Conclusions</p> <p>We show that a hybrid optimization procedure, alternative crossover strategies, and incorporation of domain knowledge from publicly available biological databases can result in marked increases in sensitivity and performance of the ATHENA algorithm for detecting and modelling gene-gene interactions that influence a complex human trait.</p

Annual cycle of the legume pod borer Maruca vitrata Fabricius (Lepidoptera: Crambidae) in southwestern Burkina Faso

Maruca vitrata is an economically significant insect pest of cowpea in sub-Saharan Africa. Understanding the seasonal population patterns of M. vitrata is essential for the establishment of effective pest management strategies. M. vitrata larval populations on cultivated cowpea and adult flying activities were monitored in addition to scouting for host plants and parasitoids during 2 consecutive years in 2010 and 2011 in southwestern Burkina Faso. Our data suggest that M. vitrata populations overlapped on cultivated cowpea and alternate host plants during the rainy season. During the cowpea off-season, M. vitrata maintained a permanent population on the wild host plants Mucuna poggei and Daniella oliveri. The parasitoid fauna include three species, Phanerotoma leucobasis Kri., Braunsia kriegeri End. and Bracon sp. Implications of these finding for pest management strategies are discussed

Linkage disequilibrium analysis in the genetically isolated Norfolk Island population

Norfolk Island is a human genetic isolate, possessing unique population characteristics that could be utilized for complex disease gene localization. Our intention was to evaluate the extent and strength of linkage disequilibrium (LD) in the Norfolk isolate by investigating markers within Xq13.3 and the NOS2A gene encoding the inducible nitric oxide synthase. A total of six microsatellite markers spanning approximately 11 Mb were assessed on chromosome Xq13.3 in a group of 56 men from Norfolk Island. Additionally, three single nucleotide polymorphisms (SNPs) localizing to the NOS2A gene were analyzed in a subset of the complex Norfolk pedigree. With the exception of two of the marker pairs, one of which is the most distantly spaced marker, all the Xq13.3 marker pairs were found to be in significant LD indicating that LD extends up to 9.5-11.5 Mb in the Norfolk Island population. Also, all SNPs studied showed significant LD in both Norfolk Islanders and Australian Caucasians, with two of the marker pairs in complete LD in the Norfolk population only. The Norfolk Island study population possesses a unique set of characteristics including founder effect, geographical isolation, exhaustive genealogical information and phenotypic data of use to cardiovascular disease risk traits. With LD extending up to 9.5-11 Mb, the Norfolk isolate should be a powerful resource for the localization of complex disease genes