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Supplementary material for paper Early spread of COVID-19 in Romania: imported cases from Italy and human-to-human transmission networks
Marian-Gabriel Hâncean, Matjaž Perc, Jürgen Lerner, 2020, izvirni znanstveni članek

Opis: This individual-level dataset describes (a) the early spread of the novel coronavirus (COVID-19) and (b) the first human-to-human transmission networks, in Romania. Specifically, in the first set of data (a), we profile the first 147 cases referring to: whether an individual is an index case, place of residence, sex, age, probable citizenship, probable country and place of infection, arrival date to a Romanian county, COVID-19 confirmation date as well as the sources of information. Also, the second set of data (b) contains the first observed human-to-human COVID-19 transmission networks (attributes of the nodes and the direction of COVID-19 transmission, i.e. who infects whom). Networks embed 159 nodes and 203 transmission ties. Indirect identifiers are masked / de-identified.
Ključne besede: coronavirus, COVID-19, transmission networks, human mobility, migration, nosocomial infections
Objavljeno: 16.12.2020; Ogledov: 192; Prenosov: 39
.zip Raziskovalni podatki (82,26 KB)
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Early spread of COVID-19 in Romania: imported cases from Italy and human-to-human transmission networks
Marian-Gabriel Hâncean, Matjaž Perc, Jürgen Lerner, 2020, izvirni znanstveni članek

Opis: We describe the early spread of the novel coronavirus (COVID-19) and the first human-to-human transmission networks, in Romania. We profiled the first 147 cases referring to sex, age, place of residence, probable country of infection, return day to Romania, COVID-19 confirmation date and the probable modes of COVID-19 transmissions. Also, we analysed human-to-human transmission networks and explored their structural features and time dynamics. In Romania, local cycles of transmission were preceded by imported cases, predominantly from Italy. We observed an average of 4.8 days (s.d. = 4.0) between the arrival to a Romanian county and COVID-19 confirmation. Furthermore, among the first 147 COVID-19 patients, 88 were imported cases (64 carriers from Italy), 54 were domestic cases, while for five cases the source of infection was unknown. The early human-to-human transmission networks illustrated a limited geographical dispersion, the presence of super-spreaders and the risk of COVID-19 nosocomial infections. COVID-19 occurred in Romania through case importation from Italy. The largest share of the Romanian diaspora is concentrated especially in the northern parts of Italy, heavily affected by COVID-19. Human mobility (including migration) accounts for the COVID-19 transmission and it should be given consideration while tailoring prevention measures.
Ključne besede: coronavirus, COVID-19, transmission networks, human mobility, migration, nosocomial infections
Objavljeno: 16.12.2020; Ogledov: 185; Prenosov: 63
.pdf Celotno besedilo (668,62 KB)
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Nature-inspired algorithms for hyperparameter optimization
Filip Glojnarić, 2019, magistrsko delo

Opis: This master thesis is focusing on the utilization of nature-inspired algorithms for hyperparameter optimization, how they work and how to use them. We present some existing methods for hyperparameter optimization as well as propose a novel method that is based on six different nature-inspired algorithms: Firefly algorithm, Grey Wolf Optimizer, Particle Swarm Optimization, Genetic algorithm, Differential Evolution, and Hybrid Bat algorithm. We also show the optimization results (set of hyperparameters) for each algorithm and we present the plots of the accuracy for each combination and handpicked one. In discussion of the results, we provide the answers on our research questions as well as propose ideas for future work.
Ključne besede: artificial intelligence, artificial neural networks, machine learning, nature-inspired algorithms, evolutionary algorithms
Objavljeno: 09.12.2019; Ogledov: 673; Prenosov: 77
.pdf Celotno besedilo (969,13 KB)

Dušica Mirković, 2019, doktorska disertacija

Opis: The aim of this doctoral research was to develop and optimize parenteral nanoemulsions as well as the total parenteral nutrition (TPN) admixture containing a nanoemulsion obtained in the course of the optimization process (hereinafter referred to as optimal nanoemulsion), and to examine their physicochemical and biological quality as well. In addition, the quality of the prepared nanoemulsions was compared with the quality of the industrial nanoemulsion (Lipofundin® MCT/LCT 20%), and, in the end, the TPN admixture initially prepared was also compared with the admixture into which the industrial emulsion was incorporated. Parenteral nanoemulsions that were considered in this dissertation were prepared by the high-pressure homogenization method. This method is the most widely applied method for the production of nanoemulsions due to the shortest length of homogenization time, the best-obtained homogeneity of the product and the smallest droplet diameter. For the nanoemulsion formulation, preparation and optimization purposes, by using, firstly, the concept of the computer-generated fractional design, and, after that, the full experimental design, the assessment of both direct effects of different formulation and process parameters (the oil phase type, the emulsifier type and concentration, a number of homogenization cycles and the pressure under which homogenization was carried out) as well as the effects of their interactions on the characteristics of prepared nanoemulsions was performed. Monitoring the nanoemulsion physical and chemical stability parameters was carried out immediately after their preparation, and then after 10, 30 and 60 days. It included the visual inspection, the measurement of the droplet diameter (the mean and volume droplet diameter), the polydispersity index, the ζ-potential, the pH value, the electrical conductivity, and the peroxide number. After the preparation and after 60 days, the biological evaluation (the sterility test and the endotoxic test) of the prepared nanoemulsions was carried out. As far as the characterization of the TPN admixture is concerned, it included practically the same parameters. The dynamics of monitoring the characteristics of the TPN admixture was determined on the basis of practical needs of hospitalized patients (0h, 24h and 72h). The scope and comprehensiveness of this issue indicated the need to divide the doctoral dissertation into three basic stages. The first stage was preliminary. Using the 24-1 fractional factorial design, nanoemulsions for the parenteral nutrition were prepared. They contained either a combination of soybean and fish oil, or a combination of medium chain triglycerides and fish oil. In addition, the type and the amount of an emulsifier used, a number of high-pressure homogenization cycles, and the homogenization pressure, were also varied. The measurement of the above-mentioned parameters for the industrial nanoemulsion was parallely carried out (Lipofundin® MCT/LCT 20%). The objective of this part of the research was to identify critical numerical factors having the most significant effect on the characteristics that define the prepared parenteral nanoemulsions. Parameters that were singled out as the result of this stage of the research (the emulsifier concentration and a number of homogenization cycles) were used as independent variables in the second stage of the research.
Ključne besede: nanoemulsions, total parenteral nutrition admixtures, high pressure homogenization, design of experiments, optimization, analysis of variance, artificial neural networks
Objavljeno: 07.06.2019; Ogledov: 10891; Prenosov: 0
.pdf Celotno besedilo (2,82 MB)

Social networks as a medium for establishing long-term relationships between customers and brands
Matija Županić, 2018, magistrsko delo

Opis: Social networks have become a big part of our everyday life. They have shaped our everyday lives, the way we communicate, express ourselves and the way we think. The main idea of this research is to explore and show to what extent and in what way do social networks facilitate the promotion of brands among younger users/audience, and what is their role in building a long-term relationship between the customer and the brand
Ključne besede: social networks, branding, establishing relationships between a costumer and a brand
Objavljeno: 26.06.2018; Ogledov: 567; Prenosov: 67
.pdf Celotno besedilo (2,24 MB)

The transfer of knowledge in intra-organizational networks
Władzimierz Sroka, Joanna Cygler, Bożena Gajdzik, 2014, izvirni znanstveni članek

Opis: Background: In today’s business environment, a company is able to maintain its competitive position if it constantly generates knowledge and disseminates this knowledge within the organization, as well as transforms it into new competences. The ability to transfer knowledge becomes one of the key factors in the improvement of a company’s competitive position. This hypothesis is applicable particularly in the case of cooperation within networks, as they are an excellent opportunity for mutual learning between partners. Objectives: The purpose of the paper is to analyse the process of knowledge transfer in intra-organizational networks. Method: Due to the specificity of the research object, the case study method has been chosen. In order to make an in-depth analysis of the case study, we selected a group of several criteria based on the theory which we believe to be fundamental to the effectiveness of knowledge management in networks, and compared them with the situation in the ArcelorMittal Group. Results: Our research show that ArcelorMittal Group has met almost all the criteria of effective knowledge management in its intra-organizational network. Some exceptions, albeit merely to an extent, are mostly the result of historical circumstances, , i.e. the process of growth through acquisitions, and the acquisition of companies at different stages of organizational development, as well as organizational culture. Conclusion: Based on theoretical assumptions, the study analysed in details the components of knowledge management applied by the corporation in question. Therefore this study might be utilised to formulate a refutable hypothesis and verify them on a larger group of companies from different sectors of the economy. The main limitations of the paper are mostly related to the inherent approach therein
Ključne besede: knowledge, knowledge transfer, knowledge management, networks, case study analysis
Objavljeno: 22.01.2018; Ogledov: 810; Prenosov: 81
.pdf Celotno besedilo (235,90 KB)
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The influence of social networking sites on recruiting human resources in the Czech republic
Lucie Bohmova, Antonín Pavlíček, 2015, izvirni znanstveni članek

Opis: Background: This paper is focused on the usage of social networking sites (SNS) for human resources departments in the process of hiring new employees. It also maps the development and influence of SNS on recruiter's behavior and customs. The main aim is to find out, whether SNS could/will replace traditional online job boards in the Czech Republic. The motivation for the research is to determine whether SNS can be used for serious and practical business purposes. Methods: The paper presents authors’ empirical research with two interconnected instruments used for data collection: (1) Questionnaire with 15 questions devoted to usability, evaluation and comparison of SNS with job portals (N=286 HR specialists) and (2) Comparison of 3 online job advertising methods – job portals, SNS and business website. Results: HR specialists regularly use publicly available information on candidates’ Facebook profiles. Similar results have been observed using both instruments. SNS's in the Czech Republic are not yet used by recruiters as the main tool for recruitment, however, are often used as a support tool for decision making in the final stage of recruitment. Use of SNS's by recruiters is universal; we have not found any significant differences in terms of demographics (men, women, old, young HR professionals). The rate of utilization of SNS's by recruiters in the Czech Republic is gradually increasing, but does not reach the US level. Conclusion: Our findings confirm the rising importance of social networking sites (SNS) usage as a new recruiting technology. However, as a major player in the field of recruitment, job boards (eg. Jobs.cz) are still important. However, the expectation is that in the near future, this will change and SNS‘s may replace the job boards.
Ključne besede: human resources, new trends, social networks, social networking site, SNS, job boards, competitive advantage
Objavljeno: 22.01.2018; Ogledov: 527; Prenosov: 291
.pdf Celotno besedilo (565,95 KB)
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Determinants of public cooperation in multiplex networks
Federico Battiston, Matjaž Perc, Vito Latora, 2017, izvirni znanstveni članek

Opis: Synergies between evolutionary game theory and statistical physics have significantly improved our understanding of public cooperation in structured populations. Multiplex networks, in particular, provide the theoretical framework within network science that allows us to mathematically describe the rich structure of interactions characterizing human societies. While research has shown that multiplex networks may enhance the resilience of cooperation, the interplay between the overlap in the structure of the layers and the control parameters of the corresponding games has not yet been investigated. With this aim, we consider here the public goods game on a multiplex network, and we unveil the role of the number of layers and the overlap of links, as well as the impact of different synergy factors in different layers, on the onset of cooperation. We show that enhanced public cooperation emerges only when a significant edge overlap is combined with at least one layer being able to sustain some cooperation by means of a sufficiently high synergy factor. In the absence of either of these conditions, the evolution of cooperation in multiplex networks is determined by the bounds of traditional network reciprocity with no enhanced resilience. These results caution against overly optimistic predictions that the presence of multiple social domains may in itself promote cooperation, and they help us better understand the complexity behind prosocial behavior in layered social systems.
Ključne besede: cooperation, public goods, networks, physics of social systems
Objavljeno: 04.12.2017; Ogledov: 509; Prenosov: 297
.pdf Celotno besedilo (1,05 MB)
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The accuracy of the germination rate of seeds based on image processing and artificial neural networks
Uroš Škrubej, Črtomir Rozman, Denis Stajnko, 2015, izvirni znanstveni članek

Opis: This paper describes a computer vision system based on image processing and machine learning techniques which was implemented for automatic assessment of the tomato seed germination rate. The entire system was built using open source applications Image J, Weka and their public Java classes and linked by our specially developed code. After object detection, we applied artificial neural networks (ANN), which was able to correctly classify 95.44% of germinated seeds of tomato (Solanum lycopersicum L.).
Ključne besede: image processing, artificial neural networks, seeds, tomato
Objavljeno: 14.11.2017; Ogledov: 821; Prenosov: 260
.pdf Celotno besedilo (353,43 KB)
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