A significant number of recent scientific papers have raised awareness of changes in the biological world of bees, problems with their extinction, and, as a consequence, their impact on humans and the environment. This work relies on precision beekeeping in apiculture and raises the scale of measurement and prediction results using the system we developed, which was designed to cover beehive ecosystem. It is equipped with an IoT modular base station that collects a wide range of parameters from sensors on the hive and a bee counter at the hive entrance. Data are sent to the cloud for storage, analysis, and alarm generation. A time-series forecasting model capable of estimating the volume of bee exits and entrances per hour, which simulates dependence between environmental conditions and bee activity, was devised. The applied mathematical models based on recurrent neural networks exhibited high accuracy. A web application for monitoring and prediction displays parameters, measured values, and predictive and analytical alarms in real time. The predictive component utilizes artificial intelligence by applying advanced analytical methods to find correlation between sensor data and the behavioral patterns of bees, and to raise alarms should it detect deviations. The analytical component raises an alarm when it detects measured values that lie outside of the predetermined safety limits. Comparisons of the experimental data with the model showed that our model represents the observed processes well.

The purpose of this study is to examine the projectile penetration resistance of the base metal and heat-affected zones of armor steel weldments. To ensure the proper quality of armor steel welded joints and associated ballistic protection, it is important to find the optimum heat input for armor steel welding. A total of two armor steel weldments made at heat inputs of 1.29 kJ/mm and 1.55 kJ/mm were tested for ballistic protection performance. The GMAW welding carried out employing a robot-controlled process. Owing to a higher ballistic limit, the heat-affected zone (HAZ) of the 1.29 kJ/mm weldment was found to be more resistant to projectile penetration than that of the 1.55 kJ/mm weldment. The ballistic performance of the weldments was determined by analyzing the microstructure of weldment heat-affected zones, the hardness gradients across the weldments and the thermal history of the welding heat inputs considered. The result showed that the ballistic resistance of heat affected zone exist as the heat input was decreased on 1.29 kJ/mm. It was found that 1.55 kJ/mm does not have ballistic resistance.

The basic task of packaging is to protect the product from mechanical, physicochemical and biological changes. Inappropriate material and incorrectly selected packaging can significantly affect the qualitative characteristics of the product as well as the shelf life of the packaged content. Packaging materials are chosen based on the characteristics of the product to be packaged, the intended packaging procedure, and the required shelf life of the product. The strictest requirements apply to packaging materials for food and pharmaceutical products. Polymeric materials are used as monomaterials or in combination with other materials. This paper will present the results of testing polymer materials used for the production of food products. Among the characteristics, the results of tests of elongation at break and tensile strength will be presented. The investigated materials were polymer films produced by the coextrusion process (PE/PA/PE and PP/PA/PP) and polymer materials for the production of glasses for dairy products (polystyrene tape, polypropylene compound tape and polypropylene tape with a barrier layer).

The study examines the effects of the Friction Stir Processing (FSP) process on the EN AW 5754 aluminium alloy, conducted under underwater conditions. FSP is an innovative technology used to improve the mechanical properties of materials through plastic deformation. Fracture surface analysis is essential for understanding how the process influences the internal structure of the alloy and its behaviour during fracture. The results obtained from the fracture analysis provide insights into the deformation mechanisms and how processing conditions affect the material's structural integrity. This study contributes to the development of aluminium alloys with enhanced properties, with applications in fields such as the automotive and aerospace industries.