Decomposition analysis of global value chains: Uncovering vulnerable spots in a selected economy (the example of Czechia).

Recent global turmoil has added to the importance of food security issues and the sustainability of production processes worldwide. This study aims to uncover the degree of domestic industries' dependence on the international fragmentation of production processes and identify the countries of origin of those producers who have managed to displace domestic producers in corresponding Global Value Chains. Using data retrieved from the World Input-Output Database, we studied Czechia's example via demarcation of domestic value-added (DVA) shares from foreign ones in final domestic products.

Energy Logistic Regression and Survival Model: Case Study of Russian Exports.

The importance of environmental sustainability is becoming more and more obvious, so the rationale behind long-term usage of solely non-renewable energy sources appeared questionable. This study aims to identify, using Kaplan-Meier survival analysis and logistic regressions, the main determinants that affect the duration of Russian non-renewable energy exports to different regions of the world. Data were retrieved from the databanks of the World Development Indicators (WDI), World Integrated Trade Solution (WITS), and the French Centre for Prospective studies and International Information (CEPII).

Isotope composition of groundwater and surface waters in the area of the Dombrovsky quarry of Kalush-Golinsk deposit of potassium salts.

Enrichment of heavy isotopes of hydrogen (D, H) and oxygen (О) is observed in water samples collected from open brine storage of Kalush-Golinsky deposit. The brine storage facilities were formed during the operation of the Kalush-Golynsky deposit of potassium salts and after its decommissioning. Enrichment of isotopes is also observed in groundwater samples, collected from wells located along with downstream groundwater from brine storage facilities.

Investigating the dynamic eco-efficiency in agriculture sector of the European Union countries.

One of the main aims of European Common Agricultural Policy (CAP) has been established on a considerable reduction of greenhouse gas (GHG) emissions without any decline in productivity by 2030. This introduces some challenges in the assessment of agricultural technical efficiency. In particular, we can formulate at least two problems that are worth to be addressed: (i) possibility of treating undesirable outputs and (ii) panel data analysis of agricultural technical efficiency enriched by eco-efficiency assessment.

[Multifactorial Prognostication of the Development of Stent Thrombosis in Patients with Acute Coronary Syndrome after Percutaneous Coronary Intervention on the background of Dual Antiplatelet Therapy].

Aim: to identify predictors of stent thrombosis in patients with acute coronary syndrome (ACS) after percutaneous coronary intervention (PCI) for 12 months by creating a miathematical logistic regression model to optimize rehabilitation, secondary prevention of ischemic events in the first year after ACS, as well as a personalized approach to treatment.

Materials And Methods: The analysis used data from the hospital register, which contained information on all PCIs, performed in the Semashko hospital between September 2016 and August 2018 (2378 patients). For this study we selected a sample of 183 ACS patients (146 men and 37 women) after PCI: 25 with definite stent thrombosis confirmed by repeated coronary angiography (CAG) (the main study group), and 158 without developing definite stent thrombosis (the comparison group) according to the observation for 12 months.