Studie se zaměřuje na prostorové nerovnosti v úmrtnosti českého obyvatelstva, která se spojena s rizikovým užíváním alkoholu a tabáku, mezi lety 2001-2015. Určeno odborné veřejnosti.

• MeSH
• dějiny 21. století MeSH
• disparity zdravotního stavu MeSH
• lékařská geografie MeSH
• pití alkoholu MeSH
• populace MeSH
• předčasná smrt MeSH
• prostorová analýza MeSH
• rizikové faktory MeSH
• užívání tabáku MeSH
• Check Tag
• dějiny 21. století MeSH
• Publikační typ
• práce podpořená grantem MeSH
• Geografické názvy
• Česká republika MeSH

• Konspekt
• Hygiena. Lidské zdraví
• NLK Obory
• adiktologie
• epidemiologie
• NLK Publikační typ
• studie

BACKGROUND: Severe canopy-removing disturbances are native to many temperate forests and radically alter stand structure, but biotic legacies (surviving elements or patterns) can lend continuity to ecosystem function after such events. Poorly understood is the degree to which the structural complexity of an old-growth forest carries over to the next stand. We asked how pre-disturbance spatial pattern acts as a legacy to influence post-disturbance stand structure, and how this legacy influences the structural diversity within the early-seral stand. METHODS: Two stem-mapped one-hectare forest plots in the Czech Republic experienced a severe bark beetle outbreak, thus providing before-and-after data on spatial patterns in live and dead trees, crown projections, down logs, and herb cover. RESULTS: Post-disturbance stands were dominated by an advanced regeneration layer present before the disturbance. Both major species, Norway spruce (Picea abies) and rowan (Sorbus aucuparia), were strongly self-aggregated and also clustered to former canopy trees, pre-disturbance snags, stumps and logs, suggesting positive overstory to understory neighbourhood effects. Thus, although the disturbance dramatically reduced the stand's height profile with ~100% mortality of the canopy layer, the spatial structure of post-disturbance stands still closely reflected the pre-disturbance structure. The former upper tree layer influenced advanced regeneration through microsite and light limitation. Under formerly dense canopies, regeneration density was high but relatively homogeneous in height; while in former small gaps with greater herb cover, regeneration density was lower but with greater heterogeneity in heights. CONCLUSION: These findings suggest that pre-disturbance spatial patterns of forests can persist through severe canopy-removing disturbance, and determine the spatial structure of the succeeding stand. Such patterns constitute a subtle but key legacy effect, promoting structural complexity in early-seral forests as well as variable successional pathways and rates. This influence suggests a continuity in spatial ecosystem structure that may well persist through multiple forest generations.

• MeSH
• biodiverzita * MeSH
• ekosystém MeSH
• lesy * MeSH
• prostorová analýza * MeSH
• regenerace MeSH
• smrk anatomie a histologie   klasifikace   růst a vývoj   fyziologie   MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH

Performing day surgery should minimise a number of hospitalisation cases, but its use is determined by many factors. It takes advantage of the latest advances in surgical care, enabling better use of highly costly specialised operating room equipment. This analysis of the day surgery system of the Slovak Republic stands on an examination of the five specialised fields-surgery, gynaecology, ophthalmology, otorhinolaryngology, and urology. The explored period covers the years 2009 to 2017. The whole analysis is divided into the two sections-the youth category and for the adult category. For each case, a hospitalisation ratio is computed. A map visualisation supports the analysis outcome. A quantification of the similarity relationships between the regions is done according to a Euclidean distance approach and it is illustrated through the heat map. The centremost region is the Žilina Region with distance at a level of 1.9821, meaning that it performs as the most similar region to a development of a hospitalisation ratio in the whole Slovak Republic regarding all the examined aspects. The findings introduce an important platform for a creation of regional and national health plans in the area of healthcare provision for the population of the country.

• MeSH
• ambulantní chirurgické výkony statistika a číselné údaje   trendy   MeSH
• dospělí MeSH
• lidé MeSH
• mladiství MeSH
• prostorová analýza MeSH
• Check Tag
• dospělí MeSH
• lidé MeSH
• mladiství MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• srovnávací studie MeSH
• Geografické názvy
• Slovenská republika MeSH

The analysis of functional magnetic resonance imaging (fMRI) data involves multiple stages of data pre-processing before the activation can be statistically detected. Spatial smoothing is a very common pre-processing step in the analysis of functional brain imaging data. This study presents a broad perspective on the influence of spatial smoothing on fMRI group activation results. The data obtained from 20 volunteers during a visual oddball task were used for this study. Spatial smoothing using an isotropic gaussian filter kernel with full width at half maximum (FWHM) sizes 2 to 30 mm with a step of 2 mm was applied in two levels - smoothing of fMRI data and/or smoothing of single-subject contrast files prior to general linear model random-effects group analysis generating statistical parametric maps. Five regions of interest were defined, and several parameters (coordinates of nearest local maxima, t value, corrected threshold, effect size, residual values, etc.) were evaluated to examine the effects of spatial smoothing. The optimal filter size for group analysis is discussed according to various criteria. For our experiment, the optimal FWHM is about 8 mm. We can conclude that for robust experiments and an adequate number of subjects in the study, the optimal FWHM for single-subject inference is similar to that for group inference (about 8 mm, according to spatial resolution). For less robust experiments and fewer subjects in the study, a higher FWHM would be optimal for group inference than for single-subject inferences.

• MeSH
• algoritmy MeSH
• artefakty MeSH
• design vybavení MeSH
• dospělí MeSH
• financování organizované MeSH
• kontrastní látky MeSH
• lidé MeSH
• magnetická rezonanční tomografie metody   MeSH
• mapování mozku metody   přístrojové vybavení   MeSH
• mozek patologie   MeSH
• normální rozdělení MeSH
• počítačové zpracování obrazu MeSH
• reprodukovatelnost výsledků MeSH
• statistické modely MeSH
• Check Tag
• dospělí MeSH
• lidé MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH

BACKGROUND: Half of the people living in social exclusion in the Czech Republic are of Roma origin. The worse health of Roma could be partly explained by numerous barriers to accessing health care. Therefore, our study aimed to explore the perceptions of various stakeholders and experts who may have an impact on the inclusion of Roma and/or their access to health care on how to improve health care access for Roma living in social exclusion in the Czech Republic. METHODS: We conducted a concept mapping study and obtained data from 32 participants from health and social services, policymakers and others who were involved in different study phases (brainstorming, sorting, rating, interpretation). RESULTS: Out of 64 proposed measures sorted into six distinct clusters, 20 were rated as the most urgent and the most feasible and should be implemented with a priority to improve access to health care for Roma living in social exclusion. The proposed measures covered various topics, such as education and awareness of the target group as well as education and supervision of helping professionals, strengthening capacities and streamlining the health care system, health promotion and associated services and increasing the local and financial accessibility of health care. Overall, measures concerning the education and supervision of helping professionals were rated as both the most urgent and the most feasible. Individual priority measures targeted, for example, the health needs assessment of Roma living in social exclusion to set up interventions or to include topics such as participation, empowerment, cultural competence and communication training in the curricula of health care and helping professionals in postgraduate and continuing studies. CONCLUSIONS: Stakeholders proposed a set of relevant and acceptable measures that may help improve access to health care for Roma living in social exclusion. The way they rated the proposed measures reflects both the current unfavourable mainstream and public discourse concerning Roma living in social exclusion and the most acute policy issues identified by several European and national bodies.

• MeSH
• disparity zdravotní péče MeSH
• dospělí MeSH
• dostupnost zdravotnických služeb * MeSH
• kulturně kompetentní péče * MeSH
• kulturní kompetence MeSH
• lidé středního věku MeSH
• lidé MeSH
• mladiství MeSH
• mladý dospělý MeSH
• poskytování zdravotní péče * MeSH
• prostorová analýza MeSH
• Romové * MeSH
• senioři nad 80 let MeSH
• senioři MeSH
• sociální inkluze MeSH
• sociální izolace MeSH
• vytváření pojmu MeSH
• zdravotní politika MeSH
• zdravotnická zařízení MeSH
• zranitelné populace MeSH
• Check Tag
• dospělí MeSH
• lidé středního věku MeSH
• lidé MeSH
• mladiství MeSH
• mladý dospělý MeSH
• mužské pohlaví MeSH
• senioři nad 80 let MeSH
• senioři MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Geografické názvy
• Čína MeSH

BACKGROUND: Early diagnosis of schizophrenia could improve the outcomes and limit the negative effects of untreated illness. Although participants with schizophrenia show aberrant functional connectivity in brain networks, these between-group differences have a limited diagnostic utility. Novel methods of magnetic resonance imaging (MRI) analyses, such as machine learning (ML), may help bring neuroimaging from the bench to the bedside. Here, we used ML to differentiate participants with a first episode of schizophrenia-spectrum disorder (FES) from healthy controls based on resting-state functional connectivity (rsFC). METHOD: We acquired resting-state functional MRI data from 63 patients with FES who were individually matched by age and sex to 63 healthy controls. We applied linear kernel support vector machines (SVM) to rsFC within the default mode network, the salience network and the central executive network. RESULTS: The SVM applied to the rsFC within the salience network distinguished the FES from the control participants with an accuracy of 73.0% (p = 0.001), specificity of 71.4% and sensitivity of 74.6%. The classification accuracy was not significantly affected by medication dose, or by the presence of psychotic symptoms. The functional connectivity within the default mode or the central executive networks did not yield classification accuracies above chance level. CONCLUSIONS: Seed-based functional connectivity maps can be utilized for diagnostic classification, even early in the course of schizophrenia. The classification was probably based on trait rather than state markers, as symptoms or medications were not significantly associated with classification accuracy. Our results support the role of the anterior insula/salience network in the pathophysiology of FES.

• MeSH
• dospělí MeSH
• konektom metody   MeSH
• lidé MeSH
• magnetická rezonanční tomografie MeSH
• mladý dospělý MeSH
• mozková kůra diagnostické zobrazování   patofyziologie   MeSH
• schizofrenie diagnostické zobrazování   patofyziologie   MeSH
• support vector machine * MeSH
• Check Tag
• dospělí MeSH
• lidé MeSH
• mladý dospělý MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH

PURPOSE: To perform a detailed topographical analysis of functional age-related changes over the retina. METHODS: Fifty-nine normal phakic subjects aged 10 to 69 years were divided into six groups, according to decade of age. mfERG traces were recorded from the central 60 degrees of the retina, with a resolution of 61 and 103 scaled hexagons. Group medians of peak amplitude and latency of the first- and second-order (first slice) responses were used to generate 3-D topographical maps. RESULTS: With age, there was a continuous loss of amplitude and delay of implicit time of the first- and the second-order response components, but the topography of the loss was not uniform across the retina. Trend analyses on ring group data showed a significant decrease in amplitude of first- and second-order responses although the age relationship of second-order responses was more complex. The loss of first-order kernel amplitude was generally accompanied by a rise in implicit time. Second-order kernel latencies showed no uniform alteration with age. CONCLUSIONS: Consistent with previous work, a steady loss of amplitude and increase of implicit time was observed with age. The topographical 3-D data, however, reveal age-related functional alterations in the retina beyond those found in ring averages, suggesting that these are masked by the standard analysis. Thus, the choice of physiologically coherent regions of interest may increase the sensitivity of detecting age-related change in multifocal analysis of retinal function

• MeSH
• dítě MeSH
• dospělí MeSH
• elektroretinografie MeSH
• financování organizované MeSH
• lidé středního věku MeSH
• lidé MeSH
• mladiství MeSH
• následné studie MeSH
• referenční hodnoty MeSH
• retina anatomie a histologie   fyziologie   MeSH
• senioři MeSH
• stárnutí fyziologie   MeSH
• světelná stimulace MeSH
• zobrazování trojrozměrné metody   MeSH
• Check Tag
• dítě MeSH
• dospělí MeSH
• lidé středního věku MeSH
• lidé MeSH
• mladiství MeSH
• mužské pohlaví MeSH
• senioři MeSH
• ženské pohlaví MeSH
• Publikační typ
• srovnávací studie MeSH

Diffusion-weighted imaging (DWI) and its numerical expression via apparent diffusion coefficient (ADC) values are commonly utilized in non-invasive assessment of various brain pathologies. Although numerous studies have confirmed that ADC values could be pathognomic for various ring-enhancing lesions (RELs), their true potential is yet to be exploited in full. The article was designed to introduce an image analysis method allowing REL recognition independently of either absolute ADC values or specifically defined regions of interest within the evaluated image. For this purpose, the line of interest (LOI) was marked on each ADC map to cross all of the RELs' compartments. Using a machine learning approach, we analyzed the LOI between two representatives of the RELs, namely, brain abscess and glioblastoma (GBM). The diagnostic ability of the selected parameters as predictors for the machine learning algorithms was assessed using two models, the k-NN model and the SVM model with a Gaussian kernel. With the k-NN machine learning method, 80% of the abscesses and 100% of the GBM were classified correctly at high accuracy. Similar results were obtained via the SVM method. The proposed assessment of the LOI offers a new approach for evaluating ADC maps obtained from different RELs and contributing to the standardization of the ADC map assessment.

• MeSH
• absces mozku * patologie   MeSH
• difuzní magnetická rezonance metody   MeSH
• glioblastom * diagnostické zobrazování   patologie   MeSH
• lidé MeSH
• mozek diagnostické zobrazování   patologie   MeSH
• průřezové studie MeSH
• strojové učení MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH

BACKGROUND: Inference of protein interaction networks from various sources of data has become an important topic of both systems and computational biology. Here we present a supervised approach to identification of gene expression regulatory networks. RESULTS: The method is based on a kernel approach accompanied with genetic programming. As a data source, the method utilizes gene expression time series for prediction of interactions among regulatory proteins and their target genes. The performance of the method was verified using Saccharomyces cerevisiae cell cycle and DNA/RNA/protein biosynthesis gene expression data. The results were compared with independent data sources. Finally, a prediction of novel interactions within yeast gene expression circuits has been performed. CONCLUSION: Results show that our algorithm gives, in most cases, results identical with the independent experiments, when compared with the YEASTRACT database. In several cases our algorithm gives predictions of novel interactions which have not been reported.

• MeSH
• algoritmy MeSH
• biologické modely MeSH
• financování organizované MeSH
• mapování interakce mezi proteiny metody   MeSH
• počítačová simulace MeSH
• proteom metabolismus   MeSH
• regulace genové exprese fyziologie   MeSH
• rozpoznávání automatizované metody   MeSH
• signální transdukce fyziologie   MeSH
• umělá inteligence MeSH

Pseudocoloring algorithms embedded in the software of thermal cameras gradually colorize original intensity thermograms generated by detecting temperatures and contrast. Maximum and minimum based algorithms, however, executed by thresholding, applied to intensity thermograms for revealing and coloring the outliers instead. Although the common pseudocoloring protocols employed for general purposes may provide crucial information on the superficial contrast between radiation emitted by various sources; their common kernel is not sufficient for detecting and differentiating high radiated regions from surrounding areas, which is mandatory for recognition of abnormalities. Therefore, we propose novel imaging methodology based on Nakagami and related distributions, including gamma, Rayleigh, Weibull, chi-square and exponential, for enhancing thermal images and also for creating adequate discrimination. We initially define the boundaries of tumor and surrounding area in a synthetically generated breast thermogram already diagnosed as retroareolar tumor. Using Nakagami and transformations supported by mathematical foundations, we conducted several experiments to find the discrimination factor of the pseudocoloring techniques by calculating difference of average contrast between the tumor and the surrounding area. The performance is greatly encouraging that we achieved considerably better discrimination factor, designated for this study, up to 106.80 compared to the results of existing built-in pseudocolorization methods computed as 11.56.

• MeSH
• barva MeSH
• lidé MeSH
• nádory prsu diagnostické zobrazování   MeSH
• počítačové zpracování obrazu metody   MeSH
• strojové učení MeSH
• termografie metody   MeSH
• Check Tag
• lidé MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH