Animal production is a major source of environmental pollutants, so it is becoming crucial to search for new methods to reduce their release while maintaining animal welfare. The aim of the study was to apply natural additives to rabbit manure in ex situ conditions to reduce the volume of released gaseous pollutants like ammonia (NH₃), methane (CH₄) and hydrogen sulphide (H₂S). The study was carried out in two stages, each with a control group and five experimental groups with additives, natural sorbents (zeolite, bentonite biochar, perlite, mixtures in various proportions of zeolite, biochar and bentonite as well as perlite and biochar) or dried plants containing saponins (Tribulus terrestris and Lysimachia nummularia). Pollutants from each group were measured continuously for one month. In stage 1, both in the case of NH₃ and CH₄, statistically significant differences were observed between the tested groups. The use of sorbent mix and Tribulus terrestris was shown to reduce the release of both NH₃ (by 80% and 83%, respectively) and CH₄ (by 17% and 25%, respectively). The greatest reduction of NH3 in stage 2 was achieved when perlite with the addition of biochar was used (56%), and CH₄ was achieved when Bacillus azotofixans sp. nov. bacteria were used (38%).

Creotech Instruments is advancing a game-changing sCMOS camera series. The Final Prototype Model of an astronomical camera for Space Surveillance and Tracking (SST) is in the test campaign phase. Designed for SST, NEO, and debris detection, its adaptable platform suits quantum tech and biological microscopy. Edge computing sets it apart, leveraging FPGA-based SoC for real-time processing and Linux-based pre-processing. Operating autonomously, it supports on-camera ML algorithms, revolutionizing astronomy. Data pre-processing, like frame stacking, reduces data load. This paper introduces the camera's concept, architecture, and prototype test results, emphasizing specific use cases and future product line development.

The ever-growing deluge of astronomical data challenges traditional server-based processing, hindering real-time analysis and scientific discovery. This paper proposes a novel approach: edge computing directly on an sCMOS camera using a System-on-Chip (SoC) architecture currently developed at Creotech Instruments. We present a custom-designed camera equipped with an FPGA-based SoC, enabling on-board preprocessing and feature extraction of astronomical images. This significantly reduces data transmission, minimizes latency, and empowers real-time decision-making for critical observations. We showcase the camera's capabilities through real-world scenarios, demonstrating its usability in astronomy.

Changes of land use, population and climate cause spatial and temporal changes in renewable water resources. For better understanding of the changes and effective management of water resources, hydrological investigations in river catchments are carried out around the world. A special investigation involves a study of hydrological processes in small site-specific catchments. The aim of the study is to analyse three characteristic river flows of a small lowland river on the basis of field surveys over two multiannual periods and to evaluate the applicability of indirect methods for determining characteristic flows in the catchment. Hydrological studies in the small agricultural catchment of the Mławka River, located in the Mławka Hills mesoregion, a part of the North Mazovian Lowland macro-region, have continued since 1966. The recorded data were used to determine daily flows and selected characteristic flows for multiannual periods of 1966–1990 and 1991–2020. To determine characteristic flows with indirect methods, three regional formulae and isorea methods were used. The study showed a decrease in renewable water resources over the period. In the multiannual periods, the average flow at the gauge station of Mławka River decreased by 15.6%. The outflow coefficient decreased from 0.303 to 0.265. The minimum annual flows also decreased by 29.1% and annual maximum flows showed an average increase by 19.7%. The use of indirect methods to determine the mean flow yielded results that converged with those from the second multiannual period.