Summary This study assessed the potential of probiotic characteristics of bacterial strains isolated from dry-cured sheep ham. It is one of the most common autochthonous processed meat products made in a traditional way on the Pešter plateau (Western Serbia). Isolates were identified as Lactobacillus curvatus (9 strains), Lactobacillus sakei (3 strains), and Enterococcus faecium (4 strains) using MALDI-TOF mass spectrophotometry. The study of probiotic characteristics of 16 dry-cured sheep ham isolates included survival rate through the gastrointestinal tract (GI), the possibility of biogenic amine synthesis, growth on medium with different concentrations of phenol,and antimicrobial activity. The results showed that in simulated gastric juice conditions, the cell number decreased after the first hour of incubation in the tested strains of Lb. curvatus, Lb. sakei and En. faecium except in the case of Lb. curvatus IIos19 where the number of cells remained approximately the same. After the second hour of incubation, the number of cells generally remained at the level of the first hour except in the case of the following isolates: Lb. sakei Ios12, Lb. curvatus IIos18 and En. faecium IIos24, where an increase in the number of cells was noticed after the second hour of incubation. In simulated small intestine conditions, an increase in the number of vital cells after 4 and 6 hours of incubation was observed in the isolates Lb. curvatus IIos4, Lb. sakei (Ios12, IIIos13), and En. faecium Ios1a. Synthesis of biogenic amines was not observed in investigated lactobacilli and enterococci. Analyzed isolates exhibited growth on media with 0.1% and 0.2% phenol, while 5 isolates exhibited decarboxylase activity. Six Lactobacillus strains, Lb. curvatus (IIos6, IIos17, and IIIos1), Lb. sakei (IIIos16, Ios12, and IIIos13) and En. faecium Ios4 inhibited the growth of tested pathogens, including Escherichia coli ATCC 25922, Staphylococcus aureus ATCC 25923, Listeria monocytogenes ATCC 19115, Pseudomonas aeruginosa ATCC 27853 and Bacillus cereus ATCC 14579.

Even though the Enterprise Resource Planning (ERP) technologies have been significantly addressed in managerial literature, few studies investigated the effects of digital literacy. This study aims to explore the relationship between digital literacy and ERP technology adoption in Bosnia and Herzegovina (BiH), as well as the mediating effects of business innovativeness within that relationship. A valid and reliable structured survey has been prepared and delivered to companies in BiH which use ERP technologies. Based on the recent literature, first order structural equation model has been proposed and tested. The empirical data was based on 82 questionnaire responses from companies in BiH which use ERP technologies. Once the data has been collected, factory data analysis has been performed to purify scales through items' loadings and Cronbach's Alpha values. The resultant scales have been tested for convergent validity through partial least-square path modelling using Smart PLS 3 software. The results indicated that effects of digital literacy on actual system use are significant and positive, and that business innovativeness partially mediates the relationship.

Abstract Identification of dynamic networks has been a flourishing area in recent years. However, there are few contributions addressing the problem of simultaneously identifying all modules in a network of given structure. In principle the prediction error method can handle such problems but this methods suffers from well known issues with local minima and how to find initial parameter values. Weighted Null-Space Fitting is a multi-step least-squares method and in this contribution we extend this method to rational linear dynamic networks of arbitrary topology with modules subject to white noise disturbances. We show that WNSF reaches the performance of PEM initialized at the true parameter values for a fairly complex network, suggesting consistency and asymptotic efficiency of the proposed method.

The security of each system is essential for its use. In order to make this process as successful as possible, it is advisable to develop a threat model for the system under consideration at the design stage. The purpose of the threat model is to enable the identification of security threats, by whose further analysis we can conclude which are the greatest vulnerabilities of the system and which pose the greatest risk. There exist many different approaches to threat modeling in terms of methods, methodologies, and tools. In this paper, we give an overview of those approaches and apply one of them, i.e., the most represented and mature to a specific system. A STRIDE-based methodology, software-centric method, and Microsoft Threat Modeling Tool (MTMT) mixture has been used to threat model the Web of Things (WoT)-based temperature management system which is in the design phase.