In this paper we analyze descriptions of group decision-making processes provided by 200 individuals organized in 55 groups. The goal of the paper is to show how such an analysis can be used when designing more efficient group recommender systems. To this end, we demonstrate that a) the provided group decision-making process descriptions can be systematically characterized by certain qualitatively identified aspects, b) the decision-making process that is adopted by a specific group is related to the characteristics of individuals in that group as well as to the characteristics of the group as a whole, and c) the decision reaching approach that a group naturally adopted can be determined, to a considerable extent, by certain characteristics of the group. Therefore, by examining real groups in a natural scenario, we can learn how a group recommender system should adapt when supporting group decision-making processes.

Duchenne muscular dystrophy (DMD) is a fatal Xlinked muscle disorder caused by mutations in the dystrophin gene with a consequence of progressive degeneration of skeletal and cardiac muscle. Golden retriever muscular dystrophy (GRMD) is a spontaneous X-linked canine model of DMD with similar effects. Due to high soft-tissue contrast images, MRI is preferred as a non-invasive method to extract information corresponding to biological characteristics. We propose and evaluate non-invasive MRI-based imaging biomarkers to assess the severity of golden retriever muscular dystrophy (GRMD) using 3T and 4.7T MRI data of nine animals. These imaging biomarkers use first order statistics and texture (assessed by wavelets) in quantitative MRI (qMRI). In a leave-one-sampleout cross-validation framework, we use SVM to differentiate between young and old GRMD animals. The preliminary results show good differentiation between young and old animals for different qMRI sequences and based on a different selection of features.

Private forests are widespread in Europe providing a range of ecosystem services of significant value to society, and there are calls for novel policies to enhance their provision and to face the challenges of environmental changes. Such policies need to acknowledge the importance of private forests, and importantly they need to be based on a deep understanding of how property rights held by private forest owners vary across Europe. We collected and analysed data on the content of property rights based on formal legal requirements existing in 31 European jurisdictions. To allow a comparison across jurisdictions, we constructed an original Property Rights Index for Forestry encompassing five rights domains (access, withdrawal, management, exclusion and alienation). We documented substantial variation of the private forest owners’ rights, and notably to i) make decisions in operational management and the formulation of management goals, ii) withdraw timber resources from their forest, and iii) exclude others from the use of forest resources. We identified broad relations between the scope for decision making of private forest owners and jurisdictions’ former socio-political background and geographical distribution. The variation in the content of property rights has implications for the implementation of international environmental policies, and stresses the need for tailored policy instruments, when addressing European society’s rural development, the bioeconomy, climate change mitigation measures and nature protection strategies.

The inconsistency of phytogenic feed additives’ (PFA) effects on the livestock industry poses a risk for their use as a replacement for antibiotic growth promoters. The livestock market is being encouraged to use natural growth promotors, but information is limited about the PFA mode of action. The aim of this paper is to present the complexity of compounds present in essential oils (EOs) and factors that influence biological effects of PFA. In this paper, we highlight various controls and optimization parameters that influence the processes for the standardization of these products. The chemical composition of EOs depends on plant genetics, growth conditions, development stage at harvest, and processes of extracting active compounds. Their biological effects are further influenced by the interaction of phytochemicals and their bioavailability in the gastrointestinal tract of animals. PFA effects on animal health and production are also complex due to various EO antibiotic, antioxidant, anti-quorum sensing, anti-inflammatory, and digestive fluids stimulating activities. Research must focus on reliable methods to identify and control the quality and effects of EOs. In this study, we focused on available microencapsulation techniques of EOs to increase the bioavailability of active compounds, as well as their application in the animal feed additive industry.

Abstract Using data available from the FACTS database for 19 dangerous goods, a sample of 9467 accidents realized between the years 1980 and 2015 has been formed. Accidents have been systemized qualitatively according to their consequences and location within logistics subsystems. The qualitative outcomes of consequences have three discrete states concerning injuries and/or fatalities: without consequences, with injuries (with at least one injury but without fatalities), and with fatalities (at least one fatality regardless of the number of injuries). The distribution of accidents within the logistical system is based on the elementary structure of logistics subsystems and has five discrete states: production, storage, reloading, transport, and use. For the calculation of referent risk within logistical subsystems, accident with fatalities has been adopted. The results obtained point to the significant influence of logistical subsystems on the distribution of the risk of accidents with fatalities for different dangerous goods.

In March 2015, a few days after a major horse fair event in Bjelovar, Croatia, an equine influenza outbreak began and in the days that followed spread to more than 20 stud farms in the continental part of Croatia. The epidemiological investigation showed the importance of the national and international movement of asymptomatic carrier animals as a major risk factor for the introduction of the equine influenza virus and its spread in the naïve population. Molecular characterization and phylogenetic analyses confirmed that the EI outbreak was caused by an imported viral strain of the H3N8 subtype, phylogenetically similar to recent European strains belonging to Florida sublineage clade 2. The post-outbreak equine influenza seroprevalence in continental Croatia, based on ELISA testing, was 12.3% and varied between 1.1% and 32.6% on a county level. The highest seroprevalence in counties with predominantly sport and leisure horses highlighted animal management as a principal risk factor for equine influenza infection. On the other hand, variations in haemagglutination inhibition titres in the tested serum samples suggested different times of infection acquisition and unreported outbreaks of equine influenza in continental Croatia after the 2015 outbreak. Vaccination coverage, even after the large outbreak in 2015, was still below 10%, which suggests the lack of education of horse owners and represents a high risk for further outbreaks. In conclusion, influenza is a wide spread infection with multiple, often unrecorded, outbreaks in continental Croatia. A high risk of further outbreaks is present due to low vaccination coverage, an increase in the sport and leisure horse population and the intensive movement of those animals. In order to prevent *Corresponding author: Ljubo Barbić, PhD, DVM, Department of Microbiology and Infectious Diseases with Clinic, Faculty of Veterinary Medicine, University of Zagreb, Heinzelova 55, 10000 Zagreb, Croatia, Phone: +385 1 2390 211; Fax: +385 1 2390 211; E-mail: ljubo.barbic@vef.hr DOI: 10.24099/vet.arhiv.0033

Single hidden layer feed forward neural networks are widely used for various practical problems. However, the training process for determining synaptic weights of such neural networks can be computationally very expensive. In this paper we propose a new learning algorithm for learning the synaptic weights of the single hidden layer feedforward neural networks in order to reduce the learning time. We propose combining the upgraded bat algorithm with the extreme learning machine. The proposed approach reduces the number of evaluations needed to train a neural network and efficiently finds optimal input weights and the hidden biases. The proposed algorithm was tested on standard benchmark classification problems and functions and compared with other approaches from literature. The results have shown that our approach produces a satisfactory performance in almost all cases and that it can obtains solutions much faster than the traditional learning algorithms.

Summary A number of risk behaviours, such as smoking, overweight, excessive alcohol intake, insufficient physical activity, excessive and frequent intake of salt, reduced fruit and vegetable intake, increased fat intake, which constitute living habits of an individual can influence the occurrence of hypertension and hyperglycaemia. The changing of these lifestyles can reduce the risk of developing prehypertension and prediabetes. The survey was conducted at student’s campuses. The respondents were subjected to the height, weight, blood glucose and blood pressure. Respondents filled in previously created questionnaire that was approved by the Ethics Committee for Biomedical Research Faculty of Pharmacy, University of Belgrade. The percentage of respondents with a glucose value above the reference value was 14.6% (n=19), 2.4% (n=3) had values greater than 7 mmol/L without being diagnosed with diabetes, and accordingly, 2.4% (n=3) had elevated HbA1c values (above 42 mmol/mol or 6.0%). The percentage of respondents with elevated systolic and diastolic blood pressure was 14.9% and 7.4% respectively. Regarding calculated risk scores, they showed parallel increase with increas-ing of BMI (HPS), systolic and diastolic pressure (OHS), and glucose concentration (OPS). When analysing all the factors that could cause the later development of diabetes, which is associated with hypertension as well, it is observed that the student population is very much exposed to those factors. The results of this study cannot be representative for the general population of students, but they can provide recommendations for further research.

In this paper, we consider the cooperative system [Formula: see text] where all parameters [Formula: see text] are positive numbers and the initial conditions [Formula: see text] are nonnegative numbers. We describe the global dynamics of this system in a number of cases. An interesting feature of this system is that it exhibits a coexistence of locally stable equilibrium and locally stable periodic solutions as well as the Allee effect.

<p style="text-align: justify;">PowerPoint is a popular classroom tool to make simple presentations. Such presentations can be flat when creating interactive lessons for students to use while sitting in front of the computers. Using built-in scripting features, Visual Basic for Applications, the interactivity of PowerPoint can be extended to unlimited dimensions. This paper has to aim to introduce basic scripts needed for modeling quiz questions and it is focused on educators<br />with little or no programming background. Quiz questions can be an important part of the e-learning.</p>