953 resultados para Agreement Index (KAPPA)


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This dissertation establishes a novel data-driven method to identify language network activation patterns in pediatric epilepsy through the use of the Principal Component Analysis (PCA) on functional magnetic resonance imaging (fMRI). A total of 122 subjects’ data sets from five different hospitals were included in the study through a web-based repository site designed here at FIU. Research was conducted to evaluate different classification and clustering techniques in identifying hidden activation patterns and their associations with meaningful clinical variables. The results were assessed through agreement analysis with the conventional methods of lateralization index (LI) and visual rating. What is unique in this approach is the new mechanism designed for projecting language network patterns in the PCA-based decisional space. Synthetic activation maps were randomly generated from real data sets to uniquely establish nonlinear decision functions (NDF) which are then used to classify any new fMRI activation map into typical or atypical. The best nonlinear classifier was obtained on a 4D space with a complexity (nonlinearity) degree of 7. Based on the significant association of language dominance and intensities with the top eigenvectors of the PCA decisional space, a new algorithm was deployed to delineate primary cluster members without intensity normalization. In this case, three distinct activations patterns (groups) were identified (averaged kappa with rating 0.65, with LI 0.76) and were characterized by the regions of: (1) the left inferior frontal Gyrus (IFG) and left superior temporal gyrus (STG), considered typical for the language task; (2) the IFG, left mesial frontal lobe, right cerebellum regions, representing a variant left dominant pattern by higher activation; and (3) the right homologues of the first pattern in Broca's and Wernicke's language areas. Interestingly, group 2 was found to reflect a different language compensation mechanism than reorganization. Its high intensity activation suggests a possible remote effect on the right hemisphere focus on traditionally left-lateralized functions. In retrospect, this data-driven method provides new insights into mechanisms for brain compensation/reorganization and neural plasticity in pediatric epilepsy.

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This dissertation establishes a novel data-driven method to identify language network activation patterns in pediatric epilepsy through the use of the Principal Component Analysis (PCA) on functional magnetic resonance imaging (fMRI). A total of 122 subjects’ data sets from five different hospitals were included in the study through a web-based repository site designed here at FIU. Research was conducted to evaluate different classification and clustering techniques in identifying hidden activation patterns and their associations with meaningful clinical variables. The results were assessed through agreement analysis with the conventional methods of lateralization index (LI) and visual rating. What is unique in this approach is the new mechanism designed for projecting language network patterns in the PCA-based decisional space. Synthetic activation maps were randomly generated from real data sets to uniquely establish nonlinear decision functions (NDF) which are then used to classify any new fMRI activation map into typical or atypical. The best nonlinear classifier was obtained on a 4D space with a complexity (nonlinearity) degree of 7. Based on the significant association of language dominance and intensities with the top eigenvectors of the PCA decisional space, a new algorithm was deployed to delineate primary cluster members without intensity normalization. In this case, three distinct activations patterns (groups) were identified (averaged kappa with rating 0.65, with LI 0.76) and were characterized by the regions of: 1) the left inferior frontal Gyrus (IFG) and left superior temporal gyrus (STG), considered typical for the language task; 2) the IFG, left mesial frontal lobe, right cerebellum regions, representing a variant left dominant pattern by higher activation; and 3) the right homologues of the first pattern in Broca's and Wernicke's language areas. Interestingly, group 2 was found to reflect a different language compensation mechanism than reorganization. Its high intensity activation suggests a possible remote effect on the right hemisphere focus on traditionally left-lateralized functions. In retrospect, this data-driven method provides new insights into mechanisms for brain compensation/reorganization and neural plasticity in pediatric epilepsy.

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We propose and experimentally demonstrate a refractive index (RI) sensor based on cascaded microfiber knot resonators (CMKRs) with Vernier effect. Deriving from high proportional evanescent field of microfiber and spectrum magnification function of Vernier effect, the RI sensor shows high sensitivity as well as high detection resolution. By using the method named "Drawing-Knotting-Assembling (DKA)", a compact CMKRs is fabricated for experimental demonstration. With the assistance of Lorentz fitting algorithm on the transmission spectrum, sensitivity of 6523nm/RIU and detection resolution up to 1.533 x 10-7 RIU are obtained in the experiment which show good agreement with the numerical simulation. The proposed all-fiber RI sensor with high sensitivity, compact size and low cost can be widely used for chemical and biological detection, as well as the electronic/magnetic field measurement

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Sensors for real-time monitoring of environmental contaminants are essential for protecting ecosystems and human health. Refractive index sensing is a non-selective technique that can be used to measure almost any analyte. Miniaturized refractive index sensors, such as silicon-on-insulator (SOI) microring resonators are one possible platform, but require coatings selective to the analytes of interest. A homemade prism refractometer is reported and used to characterize the interactions between polymer films and liquid or vapour-phase analytes. A camera was used to capture both Fresnel reflection and total internal reflection within the prism. For thin-films (d = 10 μm - 100 μm), interference fringes were also observed. Fourier analysis of the interferogram allowed for simultaneous extraction of the average refractive index and film thickness with accuracies of ∆n = 1-7 ×10-4 and ∆d < 3-5%. The refractive indices of 29 common organic solvents as well as aqueous solutions of sodium chloride, sucrose, ethylene glycol, glycerol, and dimethylsulfoxide were measured at λ = 1550 nm. These measurements will be useful for future calibrations of near-infrared refractive index sensors. A mathematical model is presented, where the concentration of analyte adsorbed in a film can be calculated from the refractive index and thickness changes during uptake. This model can be used with Fickian diffusion models to measure the diffusion coefficients through the bulk film and at the film-substrate interface. The diffusion of water and other organic solvents into SU-8 epoxy was explored using refractometry and the diffusion coefficient of water into SU-8 is presented. Exposure of soft baked SU-8 films to acetone, acetonitrile and methanol resulted in rapid delamination. The diffusion of volatile organic compound (VOC) vapours into polydimethylsiloxane and polydimethyl-co-polydiphenylsiloxane polymers was also studied using refractometry. Diffusion and partition coefficients are reported for several analytes. As a model system, polydimethyl-co-diphenylsiloxane films were coated onto SOI microring resonators. After the development of data acquisition software, coated devices were exposed to VOCs and the refractive index response was assessed. More studies with other polymers are required to test the viability of this platform for environmental sensing applications.

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Aims. To validate the Swedish version of the Sheffield Care Environment Assessment Matrix (S-SCEAM). The instrument’s items measure environmental elements important for supporting the needs of older people, and conceptualized within eight domains. Methods. Item relevance was assessed by a group of experts and measured using content validity index (CVI). Test-retest and inter-rater reliability tests were performed.  The domain structure was assessed by the inter-rater agreement of a second group of experts, and measured using Fleiss kappa. Results. All items attained a CVI above 0.78, the suggested criteria for excellent content validity. Test-retest reliability showed high stability (96% and 95% for two independent raters respectively), and inter-rater reliability demonstrated high levels of agreement (95% and 94% on two separate rating occasions). Kappa values were very good for test-retest (κ = 0.903 and 0.869) and inter-rater reliability (κ = 0.851 and 0.832). Domain structure was good,  Fleiss’ kappa was 0.63 (range 0.45 to 0.75).    Conclusion. The S-SCEAM of 210 items and eight domains showed good content validity and construct validity. The instrument is suggested for use in measuring of the quality of the physical environment in residential care facilities for older persons.

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Enquadramento: A prestação de cuidados de saúde está associada aos eventos adversos (EA) que causam dano nos doentes internados em hospitais. Objetivos: Estudar os EA num serviço de Medicina. Metodologia: Realizou-se um estudo quantitativo, descritivo observacional retrospetivo, de 1 de setembro a 31 de dezembro de 2014 num serviço de medicina do Centro Hospitalar do Algarve. Para identificar os EA utilizou-se a Global Trigger Tool (GTT). Listaram-se os doentes que tiveram alta hospitalar no período de 1 de janeiro a 30 de setembro do ano 2014. Resultados: A concordância entre as revisoras, relativamente à classificação dos EA, através do índice de Kappa, demonstrou ser perfeita. Identificaram-se 278 triggers, dos quais 124 resultaram em EA, 44,6% dos EA ocorreram durante o internamento e 9,4% dos doentes apresentavam EA no momento de admissão. Constataram-se 62,63 EA por 1000 doentes dia, 137,8 EA por 100 admissões e, em 31,1% dos casos, ocorreu um EA durante o internamento. Conclusão: A metodologia GTT é uma ferramenta útil no estudo dos EA no contexto hospitalar.

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Observational studies in the field of sport are complicated by the added difficulty of having to analyse multiple, complex events or behaviours that may last just a fraction of a second. In this study, we analyse three aspects related to the reliability of data collected in such a study. The first aim was to analyse and compare the reliability of data sets assessed quantitatively (calculation of kappa statistic) and qualitatively (consensus agreement method). The second aim was to describe how, by ensuring the alignment of events, we calculated the kappa statistic for the order parameter using SDIS-GSEQ software (version 5.1) for data sets containing different numbers of sequences. The third objective was to describe a new consultative procedure designed to remove the confusion generated by discordant data sets and improve the reliability of the data. The procedure is called "consultative" because it involves the participation of a new observer who is responsible for consulting the existing observations and deciding on the definitive result.

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Cystic fibrosis (CF) patients with Burkholderia cepacia complex (Bcc) pulmonary infections have high morbidity and mortality. The aim of this study was to compare different methods for identification of Bcc species isolated from paediatric CF patients. Oropharyngeal swabs from children with CF were used to obtain isolates of Bcc samples to evaluate six different tests for strain identification. Conventional (CPT) and automatised (APT) phenotypic tests, polymerase chain reaction (PCR)-recA, restriction fragment length polymorphism-recA, recA sequencing, and matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) were applied. Bacterial isolates were also tested for antimicrobial susceptibility. PCR-recA analysis showed that 36 out of the 54 isolates were Bcc. Kappa index data indicated almost perfect agreement between CPT and APT, CPT and PCR-recA, and APT and PCR-recA to identify Bcc, and MALDI-TOF and recA sequencing to identify Bcc species. The recA sequencing data and the MALDI-TOF data agreed in 97.2% of the isolates. Based on recA sequencing, the most common species identified were Burkholderia cenocepacia IIIA (33.4%), Burkholderia vietnamiensis (30.6%), B. cenocepacia IIIB (27.8%), Burkholderia multivorans (5.5%), and B. cepacia (2.7%). MALDI-TOF proved to be a useful tool for identification of Bcc species obtained from CF patients, although it was not able to identify B. cenocepacia subtypes.

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Resumen Este estudio analiza importantes acciones legislativas del 2002 que afectarán sustancialmente las negociaciones comerciales con Estados Unidos; examina, asimismo, la protección de importaciones de ese país con respecto a productos agrícolas que serán críticos en las negociaciones con los países centroamericanos. Las acciones legislativas mencionadas fueron la aprobación del Proyecto de ley Agrícola del 2002 y la aprobación de la Autorización de Promoción Legal, que provee tratamiento del ‘trámite rápido’ de los acuerdos comerciales…

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 Changes in cellular structure in Antarctic Rock-cod signified biological impact of untreated human wastewater on the marine ecosystem at Davis Station, East Antarctica. Based on these alterations a Histological Health Index was developed to identify and compare changes in fish health correlated to the degree of wastewater exposure. The health index provides a risk assessment tool applicable for all Antarctic Treaty research stations.

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BACKGROUND:The classification of proximal humeral fractures remains challenging. The two main classification systems used, the Neer and the AO classification, have both been shown to have less than ideal interobserver agreement. Agreement in classification is required, however, to guide fracture management.

METHOD:Data from the Victorian Orthopaedic Trauma Outcomes Registry were collected and the X-rays of 104 proximal humeral fractures were reviewed by three orthopaedic consultants. They classified the fractures according to the Neer and AO classifications, as well as their simplified versions. Interobserver agreement was then assessed using kappa statistics.

RESULTS:Interobserver agreement was better overall in the Neer classification, which was moderate (kappa = 0.40-0.58), than the AO classification, which was fair to moderate (kappa = 0.31-0.54). When simplified, the Neer and AO classification interobserver agreement remained similar.

CONCLUSION:The classification of proximal humeral fractures with both the Neer and the AO systems remains difficult with minimal improvements seen when reducing the number of categories in each classification system. From these results, the Neer classification system would appear slightly more useful in clinical practice to guide treatment.

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Resumen: Introducción El dolor lumbar es un trastorno músculo esquelético que afecta la parte baja de la espalda, considerado como un problema de salud pública y catalogado como un desastre en el sitio de trabajo, se encuentra en las 10 primeras causas de enfermedad profesional reportadas por las entidades prestadoras de servicios de salud, generando ausentismo y discapacidad laboral en los países industrializados, con costos que oscilan de los 20 mil a los 98 millones de dólares en los Estados Unidos. Objetivo Determinar la prevalencia de patologías lumbares calificadas y sus factores ocupacionales asociados en una entidad promotora de salud de Bogotá Colombia durante 2013 al 2014. Metodología Se realizó un estudio de corte transversal con datos secundarios pertenecientes a 318 pacientes de una entidad promotora de salud en la ciudad de Bogotá que fueron diagnosticados con patologías lumbares (lumbalgia-lumbago, discopatía lumbar, trastorno de disco intervertebral, espondilolistesis, espondilólisis, hernia discal), y remitidos a medicina laboral o solicitaron calificación de origen en primera oportunidad, en el periodo comprendido entre el año 2013 al 2014. Las variables incluidas fueron sociodemográficas, ocupacionales y diagnósticos médicos, específicamente patologías lumbares. Se realizó distribuciones de frecuencias, medidas de tendencia central y dispersión, análisis de asociación mediante la prueba Chi cuadrado de Pearson y un análisis multivariado a través del modelo de regresión binaria logística y el análisis de concordancia usando el índice de Kappa. Para las pruebas se utilizó un nivel de significación de 0,05. Se digitó y depuró en SPSS versión 23. Resultado El total de usuarios diagnosticados con patologías lumbares fue de 318 de los cuales el 57,2% fueron de sexo masculino con edad promedio de 43 años (D.E 7,9 años). Se encontró asociación significativa entre lumbalgia y movimientos de columna lumbar y levantamiento de carga (p<0,05); discopatía lumbar y movimientos de columna lumbar y factores multicausales (p<0,05); trastorno de disco intervertebral y factores multicausales (p<0.05), hernia de disco y levantamiento de cargas (p<0,05). Respecto a espondilolistesis y espondilólisis no se encontró asociación con ningún factor de riesgo, pero si se encontró asociación significativa entre origen y movimientos de columna lumbar (p= 0.010), con postura mantenida (p= 0.014), con causas multifactoriales (p= 0.000). El grado de concordancia entre la entidad promotora de salud y la administradora de riesgos laborales arrojó un valor en el índice de kappa de 0.432 (p= 0.000) correspondiendo a un grado de acuerdo moderado; para la concordancia entre la entidad promotora de salud y la junta de calificación el índice de kappa fue de 0.680 (p= 0.000) grado de acuerdo alto. Conclusión Las patologías lumbares tienen un alta prevalencia en la población trabajadora como en la no trabajadora, encontrándose un gran número de factores condicionantes a estas enfermedades generando altos costos en días perdidos laborales y en días de incapacidad: Por lo tanto, es importante determinar si estas son catalogadas de origen común o de origen laboral, para establecer programas de vigilancia epidemiológica y programas preventivos.

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The International FItness Scale (IFIS) is a self-reported measure of physical fitness that could easily. This scale has been validated in children, adolescents, and young adults; however, it is unknown whether the IFIS represents a valid and reliable estimate of physical fitness in Latino-American youth population. In the present study we aimed to examine the validity and reliability of the IFIS on a population-based sample of schoolchildren in Bogota, Colombia. Participants were 1,875 Colombian youth (56.2% girls) aged 9 to 17.9 years old. We measured adiposity markers (body fat, waist-to-height ratio, skinfold thicknesses and BMI), blood pressure, lipids profile, fasting glucose, and physical fitness level (self reported and measured). Also, a validated cardiometabolic risk index was used. An age- and sex-matched sample of 229 Schoolchildren originally not included in the study sample fulfilled IFIS twice for reliability purposes. Our data suggest that both measured and self-reported overall fitness were associated inversely with adiposity indicators and a cardiometabolic risk score. Overall, schoolchildren who self-reported “good” and “very good” fitness had better measured fitness than those who reported “very poor” and “poor” fitness (all p<0.001). Test–retest reliability of IFIS items was also good, with an average weighted Kappa of 0.811. Therefore, our findings suggest that self-reported fitness, as assessed by IFIS, is a valid, reliable, and health-related measure, and it can be a good alternative for future use in large studies with Latin-schoolchildren from Colombia.

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Two dimensional flow of a micropolar fluid in a porous channel is investigated. The flow is driven by suction or injection at the channel walls, and the micropolar model due to Eringen is used to describe the working fluid. An extension of Berman's similarity transform is used to reduce the governing equations to a set of non-linear coupled ordinary differential equations. The latter are solved for large mass transfer via a perturbation analysis where the inverse of the cross-flow Reynolds number is used as the perturbing parameter. Complementary numerical solutions for strong injection are also obtained using a quasilinearisation scheme, and good agreement is observed between the solutions obtained from the perturbation analysis and the computations.