Nine Lactobacillus strains known for surface proteinase activity were chosen from our collection and tested for their ability to grow in pea seed protein-based medium, and to hydrolyze purified pea proteins in order to produce peptides with antioxidant (AO) activity. Two strains, Lactobacillus rhamnosus BGT10 and Lactobacillus zeae LMG17315, exhibited strong proteolytic activity against pea proteins. The AO activity of the pea hydrolysate fraction, MW <10 kDa, obtained by the fermentation of purified pea proteins with Lactobacillus rhamnosus BGT10, was tested by standard spectrophotometric assays (DPPH, ABTS, Fe3+-reducing capacity) and the recently developed direct current (DC) polarographic assay. The low molecular weight fraction of the obtained hydrolysate was separated using ion exchange chromatography, while the AO activity of eluted fractions was determined by means of a sensitive DC polarographic assay without previous concentration of samples. Results revealed that the fraction present in low abundance that contained basic peptides possessed the highest antioxidant activity. Based on the obtained results, it can be concluded that Lactobacillus rhamnosus BGT10 should be further investigated as a candidate strain for large-scale production of bioactive peptides from legume proteins. [Projekat Ministartsva nauke Republike Srbije, br. 173005 i br. 173026]

The recent proliferation of global networking has an enormous impact on the cooperation of smart elements, of arbitrary kind and purpose that can be located anywhere and interact with each other according to the predefined protocol. Furthermore, these elements have to be intelligently orchestrated in order to support distributed sensing and/or monitoring/control of real world phenomena. That is why the Internet of Things (IoT) concept raises like a new, promising paradigm for Future Internet development. Considering that Wireless Sensor Networks (WSNs) are envisioned as integral part of arbitrary IoTs, and the potentially huge number of cooperating IoTs that are usually used in the real world phenomena monitoring and management, the reliability of individual sensor nodes and the overall network performance monitoring and improvement are definitely challenging issues. One of the most interesting real world phenomena that can be monitored by WSN is indoor or outdoor fire. The incorporation of soft computing technologies, like fuzzy logic, in sensor nodes has to be investigated in order to gain the manageable network performance monitoring/control and the maximal extension of components life cycle. Many aspects, such as routes, channel access, locating, energy efficiency, coverage, network capacity, data aggregation and Quality of Services (QoS) have been explored extensively. In this article two fuzzy logic approaches, with temporal characteristics, are proposed for monitoring and determining confidence of fire in order to optimize and reduce the number of rules that have to be checked to make the correct decisions. We assume that this reduction may lower sensor activities without relevant impact on quality of operation and extend battery life directly contributing the efficiency, robustness and cost effectiveness of sensing network. In order to get a real time verification of proposed approaches a prototype sensor web node, based on Representational State Transfer (RESTful) services, is created as an infrastructure that supports fast critical event signaling and remote access to sensor data via the Internet.

In this paper are given the results of ground water mathematical modeling of the source zone Sokolovici in order to define the optimal water exploitation. After processing and analyzing the results of hydrogeological and hydrological research of source of Sarajevsko Polje, boundary conditions are selected, and after that were made calibration of mathematical models for Sokolovici zone. Given the complexity and importance of groundwater sources Sokolovici, optimization of the results of the mathematical model is also made in this paper. Optimal exploitation (optima yield) of groundwater is selected based on the three criteria: 1st the provision of river inflow in amount of that will not exceed the natural infiltration in accordance with the appropriate geometry and boundary conditions; 2nd ensuring at least minimum required flow to downstream groundwater source, in quantities that exploitation of Sokolovici water well will not compromise, and 3rd preservation of filtration stability of wells in the Sokolovici area.

Abstract In order to ensure effective protection of groundwater sources, it is important to take into account all pollutants and activities that may present a potential risk. In the last period, as a useful tool in the protection of groundwater vulnerability mapping is applied. There are many methods for mapping groundwater vulnerability, some of which are more applicable than others. Although the use of and the choice of methods for assessing vulnerability depending on data availability, scale mapping, spatial distribution of data, hydrogeological and hydrological characteristics and many other parameters that serve as inputs for obtaining valid results. In this regard, this paper will analyze several methods for assessing the vulnerability of groundwater, which can be applied to the source of groundwater in the Sarajevo area. After the analysis, the results of completed vulnerability assessment, and mapping of groundwater vulnerability in the exploration area will be displayed using the COP method. The results will be presented with the help of GIS tools and presented in the form of maps of vulnerability for the catchment area of Sarajevsko Polje.