22 research outputs found

    Functioning of the Family System With an Autistic Child: A Comparative Study Between Poland and California, USA

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    Objectives of the research: The aims of this research are to conduct a comparison study between the level of communication and flexibility in families with autistic children in two different geographical locations and cultural contexts – California (USA) and Poland (Europe) – to address whether the level of these two dimensions of family functioning are related to the ego-resiliency of the parents, and additionally to discuss the practical implications that can be drawn from the results. Research methods: Communication and flexibility profiles in family functioning were collected in Poland and California from September 2016 to February 2018. Data on the similarities and differences between parents of children with autism spectrum disorder in Poland (n=111) and California (n=105) was collected using Olson’s FACES-IV. The Ego-Resiliency Scale was also administered in methodologically standardized conditions and was empirically analyzed along with controlled demographic variables. A short description of the context of the issue: Family functioning and ego-resiliency in families with children with autism are analyzed in this research. The richness of interactions and connections within the family system suggests that when explaining the relationships within the family system, the interpretation that is based on linear causality is abandoned and replaced by circular causality, which is the model of analysis utilized in this research project. The main goals of this research were to compare and contrast family functioning in two geographical locations and cultural contexts and to show statistically significant differences between these two groups, in order to better understand cultural variations and differences that may affect family functioning and ego-resiliency and to provide the different groups with adequate, necessary support services. Research findings: The results revealed statistically significant differences in various dimensions of Family Communication and Flexibility between families of autistic children in California and Poland. With respect to both variables, higher scores were found in the California group. The flexibility results in both groups were defined as flexible. However, in regards to family communication, the result of the California group corresponded to higher standardized scores, whereas those of the group from Poland revealed moderate standardized scores. Conclusions and recommendations: Statistically significant positive correlations were found in the variables of Flexibility and Family Communication between Poland and California. The results of this research are critical, not only from the perspective of scientific development (as similar studies have not been conducted), but also for therapeutic and preventive reasons. They suggest concentrating on preventive activities and aspects that are important for the well-being of the parent as a person, as well as the entire family system, especially the dimensions of communication in families with children with autism spectrum disorder and the ego-resiliency of the parents. However, further research is needed to specifically identify the differences between the groups based on various demographic variables. Additionally, it is important to develop a practical model to support families with autistic children and to address family satisfaction in intervention strategies, as well as to consider the importance of support groups that may improve satisfaction and ego-resiliency within the family system

    Research on measurement of electromagnetic fields generated by electric and combustion powered rolling stock.

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    Axle counters are more and more often applied in train detection systems. The wheel sensor is a main part of each axle counter system. In parallel, more and more complex railway vehicles, especially traction ones, are a potential source of interferences influencing the operation of these train detection systems. It is the reason to verify the electromagnetic compatibility (EMC) between the signalling equipment, particularly train detection systems and new vehicles in the process of obtaining the permission for their exploitation. The measurement of interfering magnetic fields generated by vehicles is one of tests to be carried out. For the simplification and unification purpose of the applied interference test methods the EN 50238 standard and TS 50238-3 technical specification were developed. The specification defines unified testing procedures. However, it is necessary to verify if it may replace different testing methods used in particular European states. It is the goal of the European research project financed from the TEN-T network resources

    Short-time Fourier transform and embedding method for recurrence quantification analysis of EEG time series

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    Electroencephalography (EEG) allows recording of cortical activity at high temporal resolution. Creating features useful for the analysis of the EEG recording can be challenging. Here we introduce a new method of pre-processing the time-series for the analysis of the resting state and binary task classification using recurrence quantification analysis (RQA) and compare it with the existing state-of-the-art approach based on signal embedding. To reveal patterns that unfold brain dynamics, we present a new pipeline that does not rely on selection of embedding parameters for RQA. Instead of using EEG time-series signals directly, Short-term Fourier transform (STFT) is used to generate new time-series, based on the power spectra from sliding, overlapping windows. Recurrence plots are created in a standard way from embedded EEG signals, and the STFT vectors. The efficiency of RQA features extracted from such plots is compared in classification of EEG segments that correspond to open and closed eye conditions. In contrast to the common approaches to such analysis, no filtering into separate frequency bands was needed. Differences between the two representations of EEG signals are illustrated using histograms of RQA features and UMAP plots. Classification results at the 95.9% level were obtained using selected features for less than 10 electrodes

    Highly-parallelized simulation of a pixelated LArTPC on a GPU

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    The rapid development of general-purpose computing on graphics processing units (GPGPU) is allowing the implementation of highly-parallelized Monte Carlo simulation chains for particle physics experiments. This technique is particularly suitable for the simulation of a pixelated charge readout for time projection chambers, given the large number of channels that this technology employs. Here we present the first implementation of a full microphysical simulator of a liquid argon time projection chamber (LArTPC) equipped with light readout and pixelated charge readout, developed for the DUNE Near Detector. The software is implemented with an end-to-end set of GPU-optimized algorithms. The algorithms have been written in Python and translated into CUDA kernels using Numba, a just-in-time compiler for a subset of Python and NumPy instructions. The GPU implementation achieves a speed up of four orders of magnitude compared with the equivalent CPU version. The simulation of the current induced on 10310^3 pixels takes around 1 ms on the GPU, compared with approximately 10 s on the CPU. The results of the simulation are compared against data from a pixel-readout LArTPC prototype