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BACKGROUND Recently, as a possible therapy resolving solution, pentadecapeptide BPC 157 therapy, has been used in alleviating various vascular occlusion disturbances. BPC 157 was previously reviewed as novel mediator of Robert cytoprotection and endothelium protection in the stomach, and gut- brain axis, beneficial therapy in gastrointestinal tract, with particular reference to vascular recruitment, ulcerative colitis and tumor cachexia, and other tissues healing. Here we raised new hypothesis about BPC 157 therapy in the Budd- Chiari syndrome in rats, rapid bypassing of the suprahepatic inferior caval vein occlusion, and rats recovery with the active and effective pharmacotherapy treatment. AIM To investigate Budd-Chiari syndrome model (inferior caval vein suprahepatic occlusion) resolution, since BPC 157 resolves various rat vascular occlusion. METHODS We assessed the activated bypassing pathways between the inferior and superior caval veins and portocaval shunt, counteracted caval/portal hypertension, aortal hypotension, venous/arterial thrombosis, electrocardiogram disturbances, liver and gastrointestinal lesions (i.e., stomach and duodenum hemorrhages, in particular, congestion). Rats with suprahepatic occlusion of the inferior vena cava by ligation were medicated at 1 min, 15 min, 24 h, or 48 h post-ligation. Medication consisted of 10 µg/kg BPC 157, 10 ng BPC 157 or 5 mL/kg saline, administered once as an abdominal bath or intragastric application. Gross and microscopic observations were made, in addition to assessments of electricalactivity of the heart (electrocardiogram), portal and caval hypertension, aortal hypotension, thrombosis, hepatomegaly, splenomegaly and venography. Furthermore, levels of nitric oxide, malondialdehyde in the liver and serum enzymes were determined. RESULTS BPC 157 counteracted increased P wave amplitude, tachycardia and ST- elevation, i.e., right heart failure from acute thrombotic coronary occlusion. The bypassing pathway of the inferior vena cava-azygos (hemiazygos) vein-superior vena cava and portocaval shunt occurred rapidly. Even with severe caval portal hypertension, BPC 157 antagonized portal and caval hypertension and aortal hypotension, and also reduced refractory ascites. Thrombosis of portal vein tributaries, inferior vena cava, and hepatic and coronary arteries was attenuated. In addition, there was reduced pathology of the lungs (severe capillary congestion) and liver (dilated central veins and terminal portal venules), decreased intestine hemorrhagic lesions (substantial capillary congestion, submucosal edema and architecture loss), and increased liver and spleen weight. During the period of ligation, nitric oxide- and malondialdehyde-levels in the liver remained within normal healthy values, and increases in serum enzymes were markedly reduced. CONCLUSION BPC 157 counteracts Budd Chiari syndrome in rats.

Ontology matching plays an important role in the integration of heterogeneous data sources that are described by ontologies. In order to find correspondences between entities of different ontolog ies, a matching system has to be built. CroMatcher is an ontology matching system that consists of several string and structural basic matchers. As individual basic matcher computes similarity between entities using information obtained from one or more co mponents of the entire ontology, all individual matching results need to be aggregated in order to achieve the better final matching results of compared ontologies. The CroMatcher system uses weighted aggregation method that automatically determines the we ighting factors of each basic matchers considering quality of its matching result. Also, the system uses iterative final alignment method that selects appropriate correspondences between entities of compared ontologies from the aggregated matching results. This is the third time CroMatcher has been involved in the OAEI campaign. The system is upgraded by introducing two new basic matchers that improved the matching results at this OAEI campaign. CroMatcher achieved excellent matching results for the three o ntology matching tracks in which it participated

CroMatcher is an ontology matching system based on parallel composition of basic ontology matchers. There are two fundamental parts of the system: first, automated weighted aggregation of correspondences produced by different basic matchers in the parallel composition ; second, an iterative final alignment method. This is the second time CroMatcher has been involved in the OAEI campaign. Basic improvement with respect to the previous version has been implemented in order to speed up the system.

Ontology matching is the process of finding semantic relationships or correspondences between entities of different ontologies. It is a key challenge in the integration of heterogeneous applications. In this paper our focus is on aggregation methods that aggregate basic matchers in their parallel composition. Various aggregation methods are tested on two pairs of ontologies. Given the results, weighted aggregation method is the best method for aggregation in parallel composition of basic matchers. For each pair of ontologies, different assignment of weights of the basic matchers provides the best matching results so the equally weighted aggregation is not appropriate. This paper proposes using of genetic algorithm for determining the weights of basic matchers. The use of genetic algorithm accelerates the search of the ideal weights of each basic matcher for every pair of ontologies.

CroMatcher is an ontology matching system based on terminological and structural matchers. The most important part of the system is automated weighted aggregation of correspondences produced by using different basic ontology matchers. This is the first year CroMatcher has been involved in the OAEI campaign. The results obtained this year will certainly help in finding and resolving shortcomings in the system before the next campaign.

The logistics demand forecasting is increasingly influenced by digitalization processes in logistics business. Traditional approach to logistics demand forecasting based on human expertise and statistical assessment is still very present, but the use of Big Data, Artificial Intelligence and Machine Learning becomes more prominent. By using these technologies, logistics demand forecasting becomes not only more reliable but also more agile and self-adjusting, with better insight into changing market conditions in the real-time perspective. In this paper, the Authors research the evolution of Data Analytics in logistics demand forecasting. and provide an insight to the features of Big Data, Artificial Intelligence and Machine Learning used for Advanced Data Analytics in logistics demand forecasting.

The paper deals with a possible impact of implementation of the fifth generation of technology (5G) in mobile telecommunications networks on information security. Information security is one of top concerns among the companies and institutions which are in the process of digital transformation. Internet of Things (IoT), based on 5G, brings a new set of issues, such as: security, safety, privacy and cyber-systems robustness. Therefore, it is outmost important that use of IoT applications in 5G mobile telecommunications networks from start includes protection of critical infrastructure, private and business sensitive information. A possible impact on both information and cybersecurity in the mobile telecommunications networks in Republic of Croatia have been briefly analysed. Some measures are listed and described in order to decrease vulnerabilities and mitigate security and privacy threats under 5G. The role of national regulatory authorities related to information security in the process of implementation of 5G technology have been described in the case of Republic of Croatia.

MIPRO

MIPRO

In the recent years technological trends behind logistics processes haves evolved significantly, from traditional logistics to widespread use of e-logistics. This transition is of crucial importance for the competitiveness within the logistics market. Internet of Things and Internet of Everything have a strong influence on the logistics itself, though it may not be entirely visible to the end user. Supply chain management changes and evolves, just as much as 3rd-party logistics and 4th-party logistics expand towards 5th-party logistics. E-Logistics develops various disciplines in which cloud-based operations, m-logistics, as well as Mobile Supply Chain Management and augmented reality are important segments in the future of logistics. There are no visible limits to aforementioned development ; we are witnessing a completely new paradigm of logistics and supply chain management.

Overall development of technology in recent years had a great impact on the business itself, including logistics and management as one of the leading business sectors which extensively uses information and communications technologies (ICT). Therefore, it is logical that teaching methods have been changing during this period to keep track with the real business sector and their demand for seeking and employing more skilled workforce. This paper will sum up some of the software and applications used in teaching and learning logistics, but also will give a brief comparison of students' desires and current state of the methodology used at University of Rijeka, Faculty of Maritime Studies . E-learning is commonly used in higher level education, combining traditional methods with modern methods. On the other hand, game-based learning and m-learning are newer approaches and have a large potential in learning logistics.

Social Network Analysis is a unique and innovative concept in the global business management market that allows prediction of behaviour of various involved nodes (typically clients or customers) in a structured dependent network using commonly provided services. This methodology can be used by telecommunication providers to offer new targeted products before competition, prevent customer migration To the competition and rapid response to disruptive technological and economic changes to the market. There are a number of solutions supporting telecommunication providers in provision of SNA-based solutions and campaigns and the methodology can be adapted also for banking and finance industry. SNA offers handling of large calculations with adjustable parameters, adaptability of calculations according to business requirements and application to diverse IT infrastructures. In this paper the authors will present the main architecture of a viable SNA system and propose a novel application to the area of port operations with integration into existing Port Community Systems.

Following the implementation of ICT (Information and Communication Technologies) in numerous segments of life, including the education system, the methods of teaching have significantly changed. ICT and IoT (Internet of Things) have influenced the educational system which increasingly adapted to those trends and to the newer generations that spent their childhood playing with gadgets and learning at the same time. This is how the concept of e-learning and game-based learning emerged. In parallel, traditional logistics has evolved into e-logistics. When these two are combined, a logical sequence appears in which e-logistics at higher education levels is taught by e-learning techniques. This paper researches the means and tools for e-learning in e-logistics.

Personal data represents all data (identifiers) which refer to single person with confirmed identity. Identifiers can be name and last name, network IP address, MAC address, GPS location, telephone number, personal ID, biometric data and other relavant data linked with personal identity. European union brought new regulation of personal data protection: General Data protection Regulation (GDPR) which will apply in Croatia from 25th May 2018. This paper will analise differences between new GDPR regulation in comparison with currently personal data protection directive from the year 1995.

This paper aims to propose and discuss concepts of how users can recognise information seeking behaviour automatically and what implications such an automatic recognition can have. The authors develop the discussion around variables proposed in Wilson's second model of information behaviour and state how they can collect data necessary to recognise information behaviour automatically. The authors give an overview of different parts of Wilson's second information behaviour model such as activating mechanisms (stress/coping, risk/reward, and self-efficacy), intervening variables, different stages in the information acquisition process, and types of information seeking. They also discuss streams of data that can be collected and processed automatically. From a set of thought experiments, the authors propose that by processing computer log files and recognising user affective states, which employ affective computing techniques, it is possible to recognise information seeking behaviour. Analysis also shows that Wilson's second model of information behaviour can be used as a reference model in designing automatic information behaviour systems. By quantitatively describing the information behaviour sequence, such a description could be implemented into the computer algorithm, and that process of information searching could be replicated reducing the time needed to satisfy information needs. Modern society is one step closer to making the trails Vannevar Bush proposed a reality.

Application of scientific forensic methods in ICT has become a mainstream methodology not only in criminal and civil proceedings, but also in preventive maintenance of various aspects of ICT systems used by corporations, governmental and other institutions. However, despite efforts of solution providers to create forensic hardware, software and procedures that are purported to be easy to use even by those that are not forensic experts, in most cases forensic proceedings are connected with high utilization of financial and temporal resources. Accelerated changes in information technology and architecture also require additional regulation that will pre-emptively ensure adequate amount and form of forensic trail left for possible future investigations. This paper is an attempt to describe current state of affairs of forensic proceedings, the latest trends and to provide comment on their financial impact and consequential real-world feasibility.

In this paper, the authors defined mathematical competences for the 7th grade of elementary school. The basic objective was to measure the mathematical competences or mathematical knowledge, skills and abilities in mathematical education. Mathematical competences were grouped in following areas: Algebra and functions, Space and shapes and Measurements and Data. Statistical set for the research consisted of 48 children from the Elementary school Dr. Ivan Merz in Zagreb, Croatia. Authors measured 15 variables together with the evaluated results of described tasks. Using statistical set of variables which measured mathematical competences the authors created representation of distribution by the Markov network (undirected graph with information about conditional independences between mathematical competences). Statistical analysis were conducted using software Tetrad and Statistica. In the results authors describe Markov model between the mathematical competences for 7th grade elementary school children. This paper is result of our previous research on causal modelling of mathematical competences in kindergarten and in elementary school.

Direct and indirect economic costs related to chronic diseases are increasing in Europe due to the aging of population. One of the most challenging goals is to improve the quality of life of patients affected by chronic conditions, and enhance their self-management. In this paper, we propose a novel architecture of a scalable solution, based on mobile tools, aimed to keep patients with chronic diseases away from acute episodes, to improve their quality of life and, consequently, to reduce their economic impact. Our solution aims to provide patients with a personalized tool for improving self-management, and it supports both patients and clinicians in decision-making through the implementation of two different Decision Support Systems. Moreover, the proposed architecture takes into account the interoperability and, particularly, the compliance with data transfer protocols (e.g., BT4/LE, ANT+, ISO/IEEE 11073) to ensure integration with existing devices, and with the semantic web approaches and standards related to the content and structure of the information (e.g., HL7, ICD-10 and openEHR) to ensure correct sharing of information with hospital information systems, and classification of patient behaviors (Coelition). The solution will be implemented and validated in future study.

The solution of linear least squares system requires the solution of over-determined system of equations. For a large dense systems that requires prohibitive number of operations. We developed a novel numerical approach for finding an approximate solution of this problem if the system matrix is of a dense type. The method is based on Fourier or Hartley transform although any unitary, orthogonal transform which concentrates power in a small number of coefficients can be used. This is the strategy borrowed from digital signal processing where pruning off redundant information from spectra or filtering of selected information in frequency domain is the usual practice. For the least squares problem the procedure is to transform the linear system along the column to the frequency domain, generating a transformed system. The least significant portions in the transformed system are deleted as the whole rows, yielding a smaller, pruned system. The pruned system is solved in transform domain, yielding the approximate solution. The quality of approximate solution is compared against full system solution and differences are found to be on the level of numerical noise. Theoretical evaluation of the method relates the quality of approximation to the perturbation of eigenvalues of the system matrix. Numerical experiments illustrating feasibility of the method and quality of the approximation at different noise levels, together with operations count are presented.

Information literacy represents the set of skills that enables individuals to identify, locate, evaluate and utilise relevant information for a certain task. This paper presents results of a survey regarding information literacy, carried out on undergraduate students of the Department of Information and Communication Sciences at the Faculty of Humanities and Social Sciences, University of Zagreb. Previous surveys had asserted the need to include information literacy or information competencies, differentiated from already present tool literacy or technological competencies, in students' curricula on the University. The aim of this survey was to analyse the students' information competencies as well as examine the students' attitude towards introducing an undergraduate course, during which they would learn how to efficiently search for information in the electronic environment while preparing seminar papers and exams. Furthermore, to gain an insight into the students' information retrieval accuracy in course-related research, the authors of this paper shall evaluate their information behaviour, i.e. investigate whether the students develop an overall research plan or search in relevant information sources, e.g. peer-reviewed databases etc. The research results can be helpful to determine the importance of information awareness at this level of education.

Shannon information entropy measures were used as filters of different kernel sizes to detect edges in digital images. The concept is based on communication theory with splitting of edge detection kernel into source and destination parts. The arbitrary shape of the kernel parts and the fact that information filter output is a real number with reduced problem of edge's continuity represents the major advantage of this approach. The results are compared with traditional edge detection algorithms like Sobel to illustrate performance and sensitivity of the information entropy filters. Besides the well known test image Lena, the real life examples are taken from medical X-Ray imaging of knee joints in order to illustrate the algorithm performance on real data.

In this paper security, safety and trust involved in running private wireless networks in urban areas of the city of Zagreb (Croatia) has been analyzed. Main goals were to see how much configuration is done once the equipment is installed by the end user, how can be improved security of the wireless network through education in one, and what role does the ISP play in Wifi security on the other hand. it has been decided to quantify all this by analyzing security measures in WLAN networks that we could observe from public spaces. From observed data it can be established that the situtation with wireless security is good, but there is still room for improvement. Our main conclusion is that resposibility for wireless security is mainly on telecom operators, since end users rarely even change the initial configuration of the equipment given to them.

This paper is the result of a research project carried out by three teams of bachelor and master programme students. The research analyzes the possibility and usability of connecting different technologies. The project resulted in a system prototype based on a web application with a relational database, mobile application using a CouchDB database and data warehouse for business intelligence purposes. The three parts of the system communicate through a web service based on a node.js environment and MongoDB database. The developed system provides real-time reporting that helps decision making during handball matches and, by using online analytical processing and data mining, detailed post-match data analysis. The advanced handball statistics system offers a complete perspective of match dynamics and cumulative player and team efficiency by game segments in the time domain. This way it provides coaches with highly usable data, allowing the analysis and adaptation of training methods, coupled with efficient game dynamics monitoring and the detection of players' behavioral patterns during matches. Finally, the paper presents the challenges concerning distributed software development in the team with various levels of member's knowledge, teamwork and organization.

The web-based system for online knowledge testing (WbeTS) is a hierarchical and modular autonomous system for remote knowledge assessment whose autonomy is based on remote video surveillance as one of the testing validation mechanisms. The main problem facing the system is the physical implementation of the video surveillance unit for remote monitoring of a student, as well as development of a decision making mechanism based on such monitoring. The monitoring would need to take place in conditions of widely available broadband Internet access and the use of a webcam. A possible solution is a model of the remote control described in this paper, which could solve this problem and make the system more reliable. The model is based on built-in elements and algorithms for visual recognition and motion tracking of the student, sound tracking, user (teacher) interface for assessing the validity of testing and of the system’s kernel responsible for assessing the validity of the tests and reporting. The model is envisaged to be implemented accordingly to the wishes and needs of users, and can be integrated as a part of an integral e- learning environment. Although the model described is in principle technologically feasible, its practical realization requires professional refinement and experimental validation. Only by in-depth testing and experiences gained from the actual application of the system will be possible to identify all deficiencies and requirements that currently cannot be predicted.

Video broadcasters currently envision to target a variety of receiving devices of different resolutions. In such a heterogeneous TV network the transport resource consumption is likely to increase as the types and number of receiving devices increase. We estimate the required capacity for an IPTV and mobile TV network taking into account parameters as currently proposed in standardization bodies. The consumed transport capacity fluctuates over time for two reasons. First, as we target constant video quality as much as possible, the video is encoded in variable bit rate. In order to characterize the fluctuations of the bit rate associated with one channel we have encoded a representative set of video clips. Second, the user behavior causes the transport capacity demand to fluctuate because we consider a multicast-based transport system where only the requested channels are transported. We compare two modes for transporting TV channels in multiple resolutions: a mode based on the Scalable Video Coding (SVC) where all video resolutions are embedded in one stream and a simulcast (SIM) mode where all resolutions are offered in parallel. We evaluate in some realistic examples which of the two effects is dominant, i.e., the bit rate penalty of SVC or the fact that SIM transports the video streams in parallel rather than embedding them in one stream as SVC does.

A new iterative method for solving nonlinear least squares problems is presented in this paper. It is shown that step direction vector is always acceptable. On examples from reality this method has been proved to be more efficient than other similar methods.