The study was conducted in the Polish (Roztoczanski National Park) and Ukrainian (Rava-Rus’ka Landscape Reserve and Yavorivskyi National Park) parts of the Roztocze region. In each of these locations three research areas were established in Scots pine (Pinus sylvestris L.) stands under similar ecological conditions. The purpose of this study was to carry out a survey of possible scenarios for pine stand dynamics in the Polish and Ukrainian parts of Roztocze using the FORKOME model. A control scenario was compared with four other climate change scenarios (warm dry and warm humid; cold dry and cold humid) for a period of covering the next 100 years. Using the control scenario, the FORKOME model predicted that for the next 100 years pine stands will dominate in terms of biomass and number of trees. The warm-dry and warm-humid climate scenarios resulted in slightly reduced biomass of pine stands. However pine would still maintain its dominance, although with a noticeable increase in beech and fir biomass. Nevertheless, in term of the number of trees during the second half of the simulation, it is beech and fir that dominate stand 1 in Roztoczanski National Park. Under the climate cooling scenario (cold dry and cold humid), the biomass of pine and spruce would increase during the next 100 years. Pine trees that would dominate in terms of their numbers, although the number of spruce individuals also tends to increase. The results presented in the paper indicate that the FORKOME model is very useful when investigating different climate changes scenarios in the Roztocze region.
This study has been carried out in the Polish Roztoczański National Park and the Ukrainian Ravs’ke Roztochia Regional Landscape Park, both of which are part of the Roztoche region. In each of these two locations, representative study plots were established in beech (Fagus sylvatica L.) stands occupying sites with similar environmental conditions. A longterm prognosis for the dynamics of the chosen beech stands were generated using the computer model FORKOME. The model was used to forecast stand developments for four climatic scenarios (warm-humid, warm-dry, cold-humid, cold-dry) covering a time span of 500 years. Our simulation results indicate that in the control scenario, beech stands were dominating and cyclical changes between beech and Silver fir (Abies alba Mill.) may occur. In the scenarios with assumed climate warming, a decline of fir biomass and an increase of beech biomass, as compared to the control conditions, was noticed. In the scenario with assumed climate cooling, fir biomass increased for the duration of the investigated time span. To conclude, the application of the FORKOME model was found to be a useful tool for analyzing potential scenarios of long-term dynamics of beech stands in the Roztoche region in Poland and Ukraine.
Clozapine is the drug of choice for drug-resistant schizophrenia, but despite its use, 30-40% patients fail to achieve satisfactory therapeutic effects. In such situations, augmentation attempts are made by both pharmacological and non-pharmacological methods. To date, most of the work has been devoted to pharmacological strategies, much less to augemantation of clozapine with electroconvulsive therapy (C+ECT), transcranial direct current stimulation (tDCS) or transcranial magnetic stimulation (TMS).
Aim: The aim of the work is to present biological, non-pharmacological augmentation treatment methods with clozapine.
Material and methods: A review of the literature on non-pharmacological augmentation treatment methods with clozapine was made. PubMed database was searched using key words: drug-resistant schizophrenia, clozapine, ECT, transcranial magnetic stimulation, transcranial electrical stimulation and time descriptors: 1980-2017.
Results: Most studies on the possibility of increasing the efficacy of clozapine was devoted to combination therapy with clozapine + electric treatments. They have shown improved efficacy when using these two methods simultaneously from 37.5 to 100%. The only randomized trial so far has also confirmed the effectiveness of this procedure. Despite the described side effects of tachycardia or prolonged seizures, most studies indicate the safety and efficacy of combined use of clozapine and electroconvulsive therapy. Transcranial magnetic stimulation also appears to be a safe method in patients treated with clozapine. However, further research is needed before ECT can be included in standard TRS treatment algorithms. The data for combining transcranial electrical stimulation with clozapine, come only from descriptions of cases and need to be confirmed in controlled studies.
Conclusions: The results of studies on the possibility of increasing the effectiveness of clozapine using biological non-pharmacological treatment methods indicate a potentially beneficial effect of this type of methods in breaking the super-resistance in schizophrenia. Combination of clozapine and ECT can be considered as the most recommended strategy among these treatment methods.
The study was conducted within the actual area of Krempna commune in Jaslo county Podkarpackie voivodeship in Poland. Historical data and maps were analysed using the ArcGIS 10.3 program. The changes in the number of villages, householders and human population were presented. Religious composition for the year 1785 and ethnic composition for the year 1939 were evaluated. Only in the case of Ukrainian population, the Moran’s test has shown dispersed distribution (Index Moran’s for Ukrainians = −0.478664; Z = −1.684100; P = 0.092162). The total number of householders increased from 915 in the year 1785 to 1,409 householders in the year 1939 and decreased to 349 in the year 1965 and 333 in the year 2018. The traditional village system (TVS) of Krempna commune was depopulated after World War II. As a result, the agricultural abandonment and forest succession developed. Class area (CA) of settlements decreased from 1174.02 ha in the year 1939 to 248.13 ha in the year 1965 and 240.2 ha in the year 2018, and CA of forests increased from 7,268.20 ha in the year 1939 to 15,465.20 ha in the year 1965 and 15,841.3 ha in the year 2018. Villages that had begun the core of TVS together with tserkvas and chapels in the centre of village, roadside crosses and traditional private farms were lost. The scale and results of such changes are interesting for future research, mainly in terms of change in TVS infrastructure and culture.
This paper presents the perspectives of FORKOME model use regarding the simulation of fre and its impact on forest stands. The calculation of probability of forest fres and predicting its effect on forest stands are analysed as well. The model is supposed to examine the impact of fres on pine stands, which ultimately leads to a decline in the viability of those trees. As a result of fre activity there were determined the following categories of trees - undamaged, slightly damaged, heavily damaged and destroyed. Moreover, by conducting simulations on forests with Scots pine (Pinus sylvestris L.), there were demonstrated the possibilities of FORKOME model practical application. Simulation shows the possibility of the model to predict the fre damage in a particular year and the perspective of a stand development, taking into account climate change and its influence on the frequency of fres. Prospects and directions of further developments of the model concerning simulation of fre in forest stands were discussed as well.
Introduction: Non-Suicidal Self-Injury (NSSI) is the deliberate injury to one’s own body intended to cause mental or physical harm to oneself. In view of the growing scale of the NSSI, especially among young people without identifying any other psychiatric disorders, the disorder was included in both DSM-5 and ICD10 as independent diagnostic entity. Many etiopathogenetic hypotheses and research tools assessing various aspects of NSSI have been developed.
The aim of the work is to present and discuss the most commonly used scales for NSSI assessment.
Method: A review of available literature was made using the databases Medline / PubMed, using the key words: “self injury”, “self-mutilation”, “non-suicidal,”, “NSSI”, “self-harm” and time descriptors: 2005-2017
Results: Available tools were divided into three groups: I- scale of self-assessment made by the patient, II- assessment made by the clinician, and III- auxiliary scale.
Conclusions: None of the available scales covers the complexity of the NSSI phenomenon. For the overall NSSI assessment, several NSSI assessment tools are suggested, taking into account both self-assessment scales and clinical evaluation.