Cilj ovog rada je da putem kratkog objašnjenja osnovnih elemenata, odnosno suštine funkcionisanja blockchain tehnologije, koja predstavlja preduslov i osnovu za nastanak i funkcionisanje pametnih ugovora, kao moderne alternative korišćenju konvencionalnih ugovora, kojom se nastoji riješiti problem nepovjerenja i mogućnost prevare, detaljnije elaborira (obrazloži) prirodu veze između ta dva pojma, ukaže na razlike između konvencionalnih i pametnih ugovora, definiše prednosti koje pametni ugovori imaju u odnosu na konvencionalne, te na taj način doprinese što potpunijem shvaćanju pojma pametnih ugovora. U radu nastojimo objasniti kako prednosti koje pruža primjena blockchain tehnologije u mnogim drugim oblastima ljudskog djelovanja, kao što su kreiranje kriptovaluta i njihovu razmjenu, zatim razmjena hartija od vrijednosti, stvari, dokumenata, nekretnina, dragulja ili nekih drugih roba, iskoristiti na primjeru pametnih ugovora. Generalno, te prednosti se odnose na eliminisanje potrebe za posrednicima (u konkretnom slučaju se misli na advokate i notare, zatim na smanjenje mogućnosti prevare i povećanje stepena sigurnosti u obavljanju različitih vrsta pravnih transakcija, te na potpuno povjerenje u tačnost i ispravnost različitih vrsta evidencija zbog nemogućnosti promjene jednom pohranjenih i od velikog broja ravnopravnih partnera, verificiranih transakcija.

Poznato je da je WEF – World Economic Forum (koji je 2016.godine održan u Davosu) nazvao promjene koje se dešavaju na svjetskoj industrijskoj i digitalnoj sceni četvrta industrijska revolucija. Skoro sve razvijene zemlje u svijetu osmislile su svoje sopstvene programe za implementaciju četvrte industrijske revolucije, pa tako njemačka vlada promovira pod nazivom Industriju 4.0 (koja se prvi put pojavljuje na sajmu u Hanoveru, Njemačka), USA promovira pod naslovom Smart Manufacturing Leadership Coalition (SMLC). Japanska vlada 2018. godine je formirala Centar za četvrtu industrijsku revoluciju Japan, dok kineska vlada usvaja strategiju „Made in Kina 2025“. Neophodno je napraviti detaljnu procjenu četvrte industrijske revolucije kako bi se podigla svijest o širini njenog uticaja i povećala njena primjena. Trenutna konkurentnost koja je prisutna u svijetu razlog je za brzu implementaciju Industrije 4.0 u gotovo sve kompanije u svijetu. Robotska tehnologija je osnovna tehnologija Industrije 4.0, a njena primjena ubrzava primjenu Industrije 4.0. Broj instaliranih jedinica robota, kako industrijskih tako i servisnih, u svijetu se svake godine povećava. Robotska tehnologija je temeljna tehnologija Industry 4.0, jer bez njene implementacije nema implementacije Industry 4.0. Poznato je da je danas u proizvodnim procesima instaliran veliki broj kako industrijskih tako i servisnih robota u svim industrijskim granama, a posebno u automobilskoj, elektro/elektroničkoj i metaloprerađivačkoj industriji. U radu je data analiza implementacije robota u zemljama koje su instalirale najviše robota u 2019. godini, kao i gustina robota na 10.000 radnika u prerađivačkoj industriji u istoj godini, na osnovu kojeg imamo uvid automatizacije proizvodnih procesa u toj zemlji. U budućnosti će se povećati implementacija robotske tehnologije u industriji kako bi se postigla veća zastupljenost Industrije 4.0, što će olakšati dolazak do "pametnih proizvodnih procesa" ili "pametnih tvornica".

Chemotherapy resistance is one of the major challenges in cancer treatment, including leukemia. A massive array of research is evaluating combinations of drugs directed against different intracellular signaling molecules to overcome cancer resistance, increase therapy effectiveness, and decrease its adverse effects. Combining chemicals with proven safety profiles, such as drugs already used in therapy and active substances isolated from natural sources, could potentially have superior effects compared to monotherapies. In this study, we evaluated the effects of metformin and thymoquinone (TQ) as monotherapy and combinatorial treatments in chronic myeloid leukemia (CML) cell lines sensitive and resistant to imatinib therapy. The effects were also evaluated in primary monocytic acute myeloid leukemia (AML) and chronic lymphocytic leukemia (CLL) cells. Both compounds induced a dose- and time-dependent decrease of viability and proliferation in tested cells. Metformin had similar IC50 values in imatinib-sensitive and imatinib-resistant cell lines. IC50 values of TQ were significantly higher in imatinib-resistant cells, but with a limited resistance index (2.4). Synergistic effects of combinatorial treatments were observed in all tested cell lines, as well as in primary cells. The strongest synergistic effects were observed in the inhibition of imatinib-resistant cell line proliferation. Metformin and TQ inhibited the nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) signaling and induced apoptosis in tested cell lines and primary cells. The enhanced effects of combinatorial treatments on the induction of apoptosis were more dominant in imatinib-resistant compared to imatinib-sensitive CML cells. Primary cells were more sensitive to combinatorial treatments compared to cell lines. A combination of 1.25 mM metformin and 0.625 µM TQ increased the levels of cleaved poly (ADP-ribose) polymerase (PARP), decreased the levels of proliferation regulatory proteins, and inhibited protein kinase B (Akt) and NF-κB signaling in primary CLL cells. This study demonstrates that combinatorial treatments of imatinib-resistant malignant clones with metformin and TQ by complementary intracellular multi-targeting represents a promising approach in future studies.

The paper explores importance of rapid prototyping technology, as an important part of Industry 4.0, in product development and design process. Current state of this technology is explored in detail, with special focus of places and processes where this technology plays important role inside Industry 4.0. Paper answers several questionssuch as: does this technology have its future inside Industry 4.0, is this technology integral part of Industry 4.0 or just one aspect, has the time come to call this technology rapid manufacturing (of final products) instead of rapid prototyping (of prototypes)?Industry 4.0 implies rapid prototyping of final products, not only its prototypes. Main representative of rapid prototyping technology is additive manufacturing. Today, additive manufacturing technologies do not only serve for prototyping. They are becoming increasingly used for manufacturing of final fully functional products. Product development and design process inside Industry 4.0 must be adopted to new market demands which implies fast development and design and fast manufacturing. The time from initial concept design to the final product manufacturing must be as short as possible. The paper provides answers to the above stated questions. In addition, real examples of product development and design of prototypes and real fully functional products are presented, with a special focus on products and prototypes developed in Bosnia and Herzegovina.

Backround : Surgical site infection (SSI) is defined as an infection occurring within 30 days after a surgical operation and affecting either incision or deep tissues at the operation site. The aim of this study was to examine the incidence, identify bacterial agents and determine their antibiotics sensitivity of SSI following cesarean section (CS). Methods : This retrospective cohort study included women who undervent Misgav-Ladach method CS after which a SSI developed during the period from 01 January 2019 to 31 December 2019 at the Clinic for Gynecology and Obstetrics, University Clinical Center Tuzla. Results : During the observed period we recorded 3345 deliveries, out of which 946 (28.3%) were by cesarean section, and out of which 50 (5.28%) was with SSI. The most commonly isolated bacteria from SSI were: Escherichia coli ; Enterococcus faecalis ; Staphylococcus aureus ; Klebsiella pneumoniae . Fluoroquinolnes had the highest antibacterial activity against gram-positive pathogenes isolated. Staphylococcus aureus isolates is highly resistant to penicilline (100%). Conclusions : The prevalence of SSI following cesarean section was high and Enterococccus faecalis and Escherichia coli was the commonest pathogens isolated.

It is a well-known fact that the changes on the world industrial and digital scene were named the fourth industrial revolution at the WEF –World Economic Forum (held in Davos in 2016). Almost all developed countries in the world have designed their own programs to implement the fourth industrial revolution. Thus, the German government promotes Industry 4.0 (first appeared at the Hannover Fair in Germany), USA promotes Smart Manufacturing Leadership Coalition (SMLC), the Japanese government established the Center for the Fourth Industrial Revolution Japan in 2018, while the Chinese government adopted the strategy ‘’Made in China 2025’’.It is necessary to make a detailed assessment of the fourth industrial revolution in order to raise awareness of its breadth of influence, and increase its application. The current competitiveness that is present in the world is the reason for the rapid implementation of Industry 4.0 in almost all companies in the world. Robotic technology is the core technology of Industry 4.0, and its application accelerates its application. The number of installed units of robots, both industrial and service robots, is increasing every year in the world. The paper presents the analysis of the implementation of both industrial and service robots worldwide, including the trend of implementation of Industry 4.0. The paper provides an analysis of the implementation of robots in the countries that installed the most robots in 2019, as well as the number of robots per 10,000 workers in the manufacturing industry in the same year, based on which we have an insight in the automation process of each country.In the future, the implementation of robotic technology in the industry will increase in order to achieve greater representation of Industry 4.0, making it easier to come up with "smart manufacturing processes" or "smart factories"

Cilj ovog preglednog rada je procijeniti mogućnosti primjenepojmova industrije 4.0 uključujući optimizaciju velikih podataka, integraciju senzora, umjetne inteligencije, Internet stvari (IoT) što dovodi do najnižih mogućih troškova i najvećeg mogućeg učinka putem pametne kontrole procesa, održive proizvodnje i praćenja. Senzori su vitalne komponente industrije 4.0 i različite vrste detektora i senzora se koriste u industriji pakiranja hrane za prenošenje informacija o kvaliteti hrane i povećanje sigurnosti hrane. Ovdje će se diskutirati o vremensko-temperaturnim indikatorima, vizualnim (u boji) indikatorima, indikatorima O2 i CO2, indikatorima svježine, pH indikatorima, indikatorima otrova i indikatoru radio frekvencije koji automatski otkriva i prati proizvod. Na temelju korištenja kreditne kartice moguće je otkriti ponašanje kupaca i potrošača. Virtualne trgovine popularne su za uredske radnike. Korištenjem umjetne inteligencije moguće je izraditi robotsku kuhinju koja može kuhati prema željama korisnika, a za rezanje hrane u određenim oblicima koristi se tehnologija 3-D printanja.

The aim of this review was to evaluate possibilities of implementing concepts of Industry 4.0 including big data optimization, integration of sensors, artificial intelligence, and Internet of things (IoT), leading to the lowest possible costs and the highest possible output through smart control of the process, sustainable production, and monitoring. Sensors are vital components of Industry 4.0 and different types of detectors and sensors are used in the food packaging industry to convey information about food quality and to increase food safety. The paper will discuss time-temperature indicators, visual (color) indicators, O2 and CO2 indicators, freshness indicators, pH indicators, poison indicators and a radio frequency indicator that automatically detect and track the product. Based on credit card use it is possible to reveal the behavior of the customers and consumers. Virtual shops are popular for office workers. By using artificial intelligence, it is possible to create a robotic kitchen, which can cook according to the wishes of users, while 3-D printing technologyis used to cut food in certain shapes.

The aim of this paper is to elaborate in more detail, through a brief explanation of the basic elements, the essence of the functioning of blockchain technology, which is a prerequisite and basis for the emergence and functioning of smart contracts, as a modern alternative to using conventional contracts. The nature of the connection between these two concepts points out the differences between conventional and smart contracts, defines the advantages that smart contracts have over the conventional ones, and thus contributes to a more complete understanding of the concept of smart contracts. In this paper we will try to explain how to use the benefits of block chain technology in many other areas of human activity, such as creating and exchanging crypto currencies, exchanging securities, things, documents, real estate, gems or other goods, on the example of smart contracts. In general, these advantages relate to the elimination of the need for intermediaries (in this case, lawyers and notaries), the reduction of the possibility of fraud and increasing the level of security in performing various types of legal transactions as well as acquiring full confidence in the accuracy and correctness of various types of records due to inability to change once stored and from a large number of equal partners, verified transactions.

This paper is dedicated to machine learning, the branches of machine learning, which include the methods for solving this issue, and the practical implementation of the solution to the automatic image description generation. Automatic image caption generation is one of the frequent goals of computer vision. Image description generation models must solve a larger number of complex problems to have this task successfully solved. The objects in the image must be detected and recognized, after which a logical and syntactically correct textual description is generated. For that reason, description generation is a complex problem. It is an extremely important challenge for machine learning algorithms because it represents an impersonation of a complicated human ability to encapsulate huge amounts of highlighted visual pieces of information in descriptive language. The results of the generated descriptions are compared depending on the used pretrained convolutional networks. The BLEU metrics are used to calculate the quality of the image description. Although the solution to the problem of image description automatic generation does provide us with good results, there is yet room for improvement since there are images that are not adequately described.

For almost two years now, the world has been facing major economic challenges, precisely struggling how to adjust the business in a period of a pandemic. It can be said with great certainty that there are very few economic entities to which the pandemic has left no trace or caused visible consequences on business. However, we can perceive the crisis as a chance for further development or an opportunity to show that we can achieve better results compared to the competition. One of the ways to improve the usage of mobile application in catering facilities is the implementation of digital technologies. Accordingly, the main goal of this paper is to determine whether there is an impact of digital technologies on the usage of mobile application in catering facilities. The methods used for the research will be a survey as a method of quantitative research, and an interview as a method of qualitative research. The expected results of the research are to determine whether there is an impact of the of digital technologies on the usage of mobile application at catering facilities.

The cornelian cherry (Cornus mas L.) is considered to be one of those medicinal plants with important nutritional and therapeutic properties. The plant shows resistance against abiotic and biotic stressors in natural growing conditions and could be suitable to use in sustainable fruit production. This study was carried out on 22 local cornelian cherry (Cornus mas L.) genotypes, which were grown northwest of Bosnia and Herzegovina. Fruits of these 22 genotypes were harvested and analyzed during the ripening period in 2018/2019. Fruit weight, length, and width ranged from 1.38 to 3.01 g, 13.84 to 19.43 mm, and 10.92 to 14.79 mm, respectively. Dry matter content was determined to be the lowest at 11.67% and the highest at 21.89%. The genotypes had vitamin C content between 25.85 and 58.75 mg/100 g. Total phenolic and anthocyanin content were found to be quite variable among genotypes and ranged from 1240 to 6958 mg gallic acid equivalents (GAE) per 100 g fresh weight (FW) and 55.57 to 205.6 mg cyaniding-3-glucoside equivalents (CGE) per 100 g FW, respectively. The content of phosphorus and iron were between 155.52 to 263.06 mg per 100 g and 0.25 to 0.93 mg per 100 g, respectively. Principal Component Analysis (PCA) showed that the first and second components accounted for 44.05% and 60.50% of the total variance, and the major proportion of the first and second components were the morphometric properties and chemical traits of the cornelian cherry fruits. The results revealed that the characterized genotypes could be important for cornelian cherry breeders as ready crossing materials to obtain new cornelian cherry varieties and shows the potential of certain genotypes as a valuable source of natural antioxidants. The results may have served as a guide towards the development of sustainable production programs for cornelian cherries as well.

The logistics performance index (LPI) represents an important indicator of the state of logistics and its development in countries. The LPI is directly linked to the level of economic system development, and as such provides an adequate basis for the improvement of economy, through logistics and trade. The aim of this paper is to determine the impact of sensitivity analysis on the evaluation and ranking of the LPI in the Balkan countries, according to the report of the World Bank. Sensitivity analysis implies the change of the importance of six criteria based on which the LPI ranking is done. The multi-criteria decision-making model (MCDM), which consists of CRITIC and MARCOS methods for determining the LPI rank in the Balkan countries, was previously used. Criteria weights are simulated through 36 scenarios, whereby the weights of the observed criteria change in the range of 15% - 90%. The final results show that criteria values play very important role in the ranking of the Balkan countries, when it comes to the LPI.

Optimization of logistics processes and activities in the function of supply-chain sustainability is a great challenge for logistics companies. It is necessary to rationalize processes in accordance with the strict requirements of the market, while respecting aspects of sustainability, which is not an easy task. Multicriteria decision making can be a tool that contributes to the optimization of logistics processes in terms of making the right decisions and evaluating different strategies in different logistics subsystems. In this paper, we considered the warehousing system as one of the most important logistics subsystems in a company. Conditions and the possibility of implementing barcode technology in order to optimize warehousing processes were evaluated. We formed a strengths, weaknesses, opportunities, and threats (SWOT) matrix consisting of a total of 27 elements. In order to determine the weights of all factors at the first level of decision making and its indicators at the second level of the decision making hierarchy, an original model was developed. This model involved the creation of a novel grey full-consistency method (FUCOM-G) and integration with a SWOT analysis. Since it was a matter of group decision making, we developed a novel grey Hamy aggregator that, by adequately treating uncertainties and ambiguities, contributed to making more precise decisions. The original grey FUCOM-SWOT model based on the grey Hamy aggregator represents a contribution to the entire field of decision making and optimization of logistics processes. Based on the applied model, the obtained results showed that Weaknesses, as part of the SWOT matrix, are currently the most dominant indicators, and that the implementation of barcode technology in a warehousing system is justified.