Background and objectives. Participation is a fundamental right of the child, regardless of his health status. Assessing and supporting the participation of children with spina bifida (SB) presents a significant challenge for practitioners. The purpose of this study was to examine what is known about the participation of children with SB. Materials and Methods. The framework for scoping reviews from Arksey & O’Malley was used. A literature search in Cumulative Index to Nursing and Allied Health Literature (CINAHL), Medical Literature Analysis and Retrieval System Online (Medline), PsychINFO and the Education Resources Information Centre (ERIC) databases retrieved 136 papers, 10 of which met the criteria for inclusion and were selected for analysis. Synthesis of the results on participation within occupational domains of leisure, school and community, and factors influencing participation of children with SB was performed. Results. All the included studies were non-experimental and used cross-sectional, population-based or qualitative design. Most studies analysed social participation or participation in physical activities, except one that focused on school participation. Data from these studies have shown that children with SB experience greater participation restrictions compared to their typical peers or children with other chronic diseases. The participation was mainly affected by contextual factors. Relationships between pathology and participation were not sufficiently validated. Conclusions. There is little research on the participation of children with SB. Future studies must consider contextual factors and interventions facilitating or impeding participation.
Abstract:Hourly and daily variations of ground-level ozone have been analyzed in relation to meteorological parameters, UVB radiation and radon near the Baltic Sea in Lithuania. An atypical situation with respect to wind domination was observed during the experiment: the wind from the continent was twice as frequent as the wind from the sea. The close correlation between ground-level ozone concentration and UVB radiation intensity was established. The vertical migration directions of ozone and radon were opposite and the negative correlation between these pollutants was observed. The diurnal course of ozone and radon and the influence of meteorological parameters (temperature, relative air humidity, wind speed and direction) on variation of these pollutants have been estimated. It was established that the wind direction domination during the experiment had a significant influence on the variation of ozone and radon concentrations.
This study considers the usage of multilinear regression and artificial neural network modelling to forecast ozone concentrations with regard to weather-related indicators (wind speed, wind direction, relative humidity and temperature). Initial data were obtained by measuring the meteorological parameters using the PC Radio Weather Station. Ozone concentrations near high-voltage lines were measured using RS1003 and at a 220 m distance using ML9811. Neural network models such as the multilayer perceptron and radial basis function neural networks were constructed. The prognostic capacities of the designed models were assessed by comparing the result data by way of the square of the coefficient of multiple correlations (R2) and mean square error (MSE) values. The number of hidden neurons was optimised by decreasing an error function that recorded the number of units in the hidden layers to the precision of the expanded networks. The neural software IBM SPSS 26v was used for artificial neural network (ANN) modelling. The study demonstrated that the linear regression modelling approach was lacking in its capacity to predict the investigated ozone concentrations by used parameters, whereas the use of an ANN offered more precise outcomes. The conducted tests’ results established the strength of the designed artificial neural network models with irrelevant differences between detected and forecasted data.
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