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To have more detailed information about rock massif behaviour, distributed control and measurement network for evaluation of hydrologic, geomechanical and other parameters has been built up in the medieval Jeroným Mine from the first half of 2006. Instrumentation is generally based on commercial control kit and sensors. This network is integrated to the seismic recording apparatus equipped by data transmission via GSM network to registration centre in Ostrava. Completely monitoring system is performed as modular to have possibility to change configuration of this system.

For the purposes of trace analysis of 1,4-androstadiene-3,17-dione (ADD), 1,4-androstadiene-3-one-17β-ol (Boldenone) and 17-β-estradiol in water, waste water, soil and for the further phytosterols transformation studies the enolisation-silylation reaction was studied using MSTFA and BSTFA with different catalysts as derivatization reagents. The different reaction conditions and stability of the products was also studied using GC-MS technique.

A tower between two regular languages is a sequence of strings such that all strings on odd positions belong to one of the languages, all strings on even positions belong to the other language, and each string can be embedded into the next string in the sequence. It is known that if there are towers of any length, then there also exists an infinite tower. We investigate upper and lower bounds on the length of finite towers between two regular languages with respect to the size of the automata representing the languages in the case there is no infinite tower. This problem is relevant to the separation problem of regular languages by piecewise testable languages.

A complex study of the operation of supported ionic liquid membranes from practical point of view was made. It was shown that supported ionic liquids are selective for the binary mixture of CH4/CO2. Unfortunately, the literature reports certain pure ionic liquid data, which are mainly focused on CO2 and there is lack of data for CH4. The main problem seems to be the lack of data of the diffusion coefficients of gases in ionic liquids and, consequently, there are no correlations avialable between the transport properties and the molecular properties of the gas and of the IL.. The data available in literature are measured and calculated for pure ionic liquids only but there is no reasonable way how to apply them to the supported ionic liquid membranes. All the literature data sets overestimate at least twice the membrane performance in terms of pemeability and selectivity. Such a discrepancy brings the supported ionic liquid membranes into an inconvenient position from the point of view of practical application because it is not possible to design a process reliably although the supported ionic liquid membranes are comparable in separation characteristics to the best polymeric membrane (see Robeson plot Fig. 7). The reasons why the theoretical models overpredict the real values of permeation fluxes may be summarized below: o The mass transfer resistance of the support is not negligible, as often assumed o Some pores of the support are not opened for permeation o The structure of the support obstructs the maximal saturation of the liquid with the gas or in other words the initial concentration of the gas in the liquid does not reach the expected equilibrium value. None of these reasons should be totally excluded. A simple model of transport of gases through the liquid membrane in permeation cell was suggested. It showed that in the used pressure range (150-350kPa), the mass transfer coefficient may be assumed constant with reasonable accuracy. The model could be applied in the scale-up of the process because it takes into account the decrease of the driving force that occurs along the membrane. This decrease is not really significant in the lab scale process, where the membrane area is small, but it may be important in larger scale processes, especially when the high enrichment of retentate is required. Generally, it can be concluded that the ionic liquid membranes are convenient for gas separation processes, but it is necessary to rely on the data connected to the supported liquid membranes themselves rather than on the data of pure (free) ionic liquids.

Metalearning is becoming an increasingly important methodology for extracting knowledge from a database of available training datasets to a new (independent) dataset. While the concept of metalearning is becoming popular in statistical learning and readily available also for the analysis of economic datasets, not much attention has been paid to its limitations and disadvantages. To the best of our knowledge, the current paper represents the first illustration of metalearning sensitivity to data contamination by noise or outliers. For this purpose, we use various linear regression estimators (including highly robust ones) over a set of 24 datasets with economic background and perform a metalearning study over them as well as over the same datasets after an artificial contamination. The results reveal the whole process to remain rather sensitive to data contamination and some of the standard classifiers turn out to yield unreliable results. Nevertheless, using a robust classification method does not bring a desirable improvement. Thus, we conclude that the task of robustification of the whole metalearning methodology is more complex and deserves a systematic future research.

AbstractDeath-associated protein kinase 2 (DAPK2) is a CaM-regulated Ser/Thr protein kinase, involved in apoptosis, autophagy, granulocyte differentiation and motility regulation, whose activity is controlled by autoinhibition, autophosphorylation, dimerization and interaction with scaffolding proteins 14-3-3. However, the structural basis of 14-3-3-mediated DAPK2 regulation remains unclear. Here, we structurally and biochemically characterize the full-length human DAPK2:14-3-3 complex by combining several biophysical techniques. The results from our X-ray crystallographic analysis revealed that Thr369 phosphorylation at the DAPK2 C terminus creates a high-affinity canonical mode III 14-3-3-binding motif, further enhanced by the diterpene glycoside Fusicoccin A. Moreover, concentration-dependent DAPK2 dimerization is disrupted by Ca2+/CaM binding and stabilized by 14-3-3 binding in solution, thereby protecting the DAPK2 inhibitory autophosphorylation site Ser318 against dephosphorylation and preventing Ca2+/CaM binding. Overall, our findings provide mechanistic insights into 14-3-3-mediated DAPK2 inhibition and highlight the potential of the DAPK2:14-3-3 complex as a target for anti‐inflammatory therapies.

In addition to organic matter and nutrients, sewage sludge contains a variety of pollutants such as heavy metals, microplastics, pathogens, and a range of organic pollutants (PAHs, PAHs, per- and polyfluorinated atoms (PFAS), flame retardants, pharmaceuticals, hormones, or endocrine disruptors) (Husek et al., 2022). Their presence prevents or complicates their use on land and in the production of composts, which, due to environmental protection and precautionary principles, are no longer a sustainable way of disposing of this waste. Thermochemical methods represent an alternative. However, some distrust prevailed over pyrolysis, resulting from the lack of information on the ability to remove the organic pollutants present (Regulation (EU) 2019/1009, Huygens et al., 2019). Our work focused on studying PFAS and organic fluorine in sewage sludge and sludge-char (solid product produced after sludge pyrolysis). The obtained results serve to adjust already operating plants and to increase the knowledge of PFASs behaviour at different pyrolysis temperatures.

Volatile organic compounds (VOC) emitted in industrial gases can be eliminated applying the catalytic total oxidation. We found high catalytic activity of the Co-Mn-Al mixed oxides, obtained by heating of the coprecipitated layered double hydroxide (LDH) precursor, in the ethanol total oxidation [1]. Activity of this catalyst was remarkably increased by addition of small amount of the potassium promoter. The catalysts prepared by pelletizing the powdered material contained high amounts of expensive cobalt, which was not fully utilized in the catalytic reaction. Therefore, we focused on preparation of supported catalysts with lower concentration of active components placed exclusively in the outer shell of the support pellets. In the present study, we applied the method of impregnation using acidic solution of metal salts in combination with a support having basic properties that could limit penetration of active components into the support pellets.