Climate change and changing landscape - a coparativ evaluation on chinese and hungarian sample areas

The effects of globalisation are becoming obvious not only in the world economy but in natural processes as well. Increase of deterioration of natural conditions result in more and more decrease of land and water resources. Some experts even suggest that the changing climate of the next several decades can result in the transformation of the natural landscape. Human activities, global and regional changes of climate and land use destroy the ecological environment, which also make the service function of the local ecosystem damaged constantly. We can improve ecological security of an area through regional land use pattern opti-mizing. The physical geographical consequences of aridification might be described through the decrease of ground water level, the change of the biomass quantity and quality. Their spatial and temporal variation may reflect the intensity and strength of degradation. Remote sensing is one of the best tools to follow these processes, applying different databases. Spatial analysis of the gained information may help us to delineate the areas potentially endangered by even a minor climate change

Climate change and changing landscape: a comparative evaluation on Chinese and Hungarian sample areas

The effects of globalisation are becoming obvious not only in the world economy but in natural processes as well. Increase of deterioration of natural conditions result in more and more decrease of land and water resources. Some experts even suggest that the changing climate of the next several decades can result in the transformation of the natural landscape. Human activities, global and regional changes of climate and land use destroy the ecological environment, which also make the service function of the local ecosystem damaged constantly. We can improve ecological security of an area through regional land use pattern opti-mizing. The physical geographical consequences of aridification might be described through the decrease of ground water level, the change of the biomass quantity and quality. Their spatial and temporal variation may reflect the intensity and strength of degradation. Remote sensing is one of the best tools to follow these processes, applying different databases. Spatial analysis of the gained information may help us to delineate the areas potentially endangered by even a minor climate change

Spatial risk assessment of hydrological extremities : Inland excess water hazard, Szabolcs-Szatmár-Bereg Country, Hungary

Inland excess water hazard was regionalized and digitally mapped using auxiliary spatial environmental information for a county in Eastern Hungary. Quantified parameters representing the effect of soil, geology, groundwater, land use and hydrometeorology on the formulation of inland excess water were defined and spatially explicitly derived. The complex role of relief was characterized using multiple derivatives computed from a DEM. Legacy maps displaying inland excess water events were used as a reference dataset. Regression kriging was applied for spatial inference with the correlation between environmental factors and inundation determined using multiple linear regressions. A stochastic factor derived through kriging the residual was added to the regression results,thus producing the final inundation hazard map. This may be of use for numerous landrelated activities

Comparative effectiveness of second generation long-acting injectable antipsychotics based on nationwide database research in Hungary

Schizophrenia is a severe condition that affects approximately 1% of the population. Certain elements of antipsychotic treatment can only be examined in large population, thus the need for population-based real-world analyses has been increasing.Hungarian National Health Fund database includes all healthcare data of the population of Hungary. All patients diagnosed with schizophrenia between 01.01.2006 and 31.12.2015 were included in the study. We analyzed all patients with newly initiated second-generation antipsychotic during the inclusion period (01.01.2012-31.12.2013). Patients were followed for 2 years. All-cause treatment discontinuation served as the primary outcome of the study. Patients with newly initiated long-acting injectable treatments were further investigated in stratified analyses based on their previous treatment.106,624 patients had schizophrenia diagnosis during the study period. 12,232 patients met the inclusion criteria for newly initiating second-generation antipsychotic during the inclusion period. The proportion of patients still on treatment after 1 year for oral treatments varied between 17% (oral risperidone) and 31% (oral olanzapine) while the analogous data for long acting injectables were between 32% (risperidone long acting) and 64% (paliperidone long acting one monthly). The 2-year data were similarly in favor of long-actings. Median time to discontinuation in the oral group varied between 57 days (clozapine) and 121 days (olanzapine). The median time to discontinuation for long-actings was significantly longer: between 176 and 287 days; in case of paliperidone long acting, median was not reached during the observation period. Patients receiving long-acting treatment switched from another long-acting remained on the newly initiated treatment significantly longer than those switched from orals.Our results indicate the superiority of second generation long-acting antipsychotics with regard to rates of treatment discontinuation and periods of persistence to the assigned medication

Mortality and the relationship of somatic comorbidities to mortality in schizophrenia. A nationwide matched-cohort study.

AIM: We conducted a matched-cohort study to assess mortality in schizophrenia and the relationship of mortality with comorbid somatic conditions and suicide attempts. METHOD: A full-population register-based prospective matched-cohort study was performed including all eligible patients with schizophrenia in Hungary between 01/01/2005 and 31/12/2013. Control subjects were individually matched to patients with schizophrenia at a 5:1 ratio. The principal outcome measure was death due to any reason. A non-parametric approach was used for descriptive statistical purposes, the Kaplan-Meier model for survival analysis, and the Cox proportional-hazards regression model for inferential statistics. RESULTS: Patients with schizophrenia (n=65,169) had substantially higher risk of all-cause mortality than the control subjects (n=325,435) (RR=2.4; P<0.0001). Comorbidities and suicide attempts were associated with significantly increased mortality in both groups. As compared to the controls, 20-year old males with schizophrenia had a shorter life expectancy by 11.5years, and females by 13.7years; the analogous numbers for 45-year old schizophrenics were 8.1 and 9.6years, respectively. CONCLUSIONS: A significant mortality gap - mainly associated with somatic comorbidities - was detected between patients with schizophrenia and individually matched controls. Improved medical training to address the disparity in mortality, and many other factors including lack of resources, access to and model of medical care, lifestyle, medication side effects, smoking, stigma, need for early intervention and adequate health care organization could help to better address the physical health needs of patients with schizophrenia

Estimation of spatial max-stable models using threshold exceedances

Parametric inference for spatial max-stable processes is difficult since the related likelihoods are unavailable. A composite likelihood approach based on the bivariate distribution of block maxima has been recently proposed. However modeling block maxima is a wasteful approach provided that other information is available. Moreover an approach based on block maxima, typically annual, is unable to take into account the fact that maxima occur or not simultaneously. If time series of, say, daily data are available, then estimation procedures based on exceedances of a high threshold could mitigate such problems. We focus on two approaches for composing likelihoods based on pairs of exceedances. The first one comes from the tail approximation for bivariate distribution proposed by Ledford and Tawn (Biometrika 83:169–187, 1996) when both pairs of observations exceed the fixed threshold. The second one uses the bivariate extension (Rootzén and Tajvidi in Bernoulli 12:917–930, 2006) of the generalized Pareto distribution which allows to model exceedances when at least one of the components is over the threshold. The two approaches are compared through a simulation study where both processes in a domain of attraction of a max-stable process and max-stable processes are successively considered as time replications, according to different degrees of spatial dependency. Results put forward how the nature of the time replications influences the bias of estimations and highlight the choice of each approach regarding to the strength of the spatial dependencies and the threshold choice. © 2013, Springer Science+Business Media New York