Ethnic, national, and confessional affiliation in ex-Yugoslavia add to political radicalization. As a form of political power, politicized religions are, psychologically speaking, unconscious non-faith. Due to new national-state theoretical inadequacy, (i.e., nationalism as an ideology), religion is used as an instrument of socialization and legitimization of new national-political state subjects. When nation and religion become “controversial” identification and mark others as potentially dangerous, through a policy that allegedly aims to "affirm" and "protect" its people and their faith, then in local historical and current circumstances, it essentially implies antagonism in the most dramatic conflicts. The historical revisionism and the memory of the "evil" developed into a behavioral practice.

The workshop features presentations of accepted contributions to the RecSys Challenge 2020, organized by Politecnico di Bari, Free University of Bozen-Bolzano, TU Wien, University of Colorado, Boulder, and Universidade Federal de Campina Grande, and sponsored by Twitter. The challenge focuses on a real-world task of Tweet engagement prediction in a dynamic environment. The goal is to predict the probability for different types of engagement (Like, Reply, Retweet, and Retweet with comment) of a target user for a set of Tweets, based on heterogeneous input data. To this end, Twitter has released a large public dataset of ~160M public Tweets, obtained by subsampling within ~2 weeks, that contains engagement features, user features, and Tweet features. A peculiarity of this challenge is related to the recent regulations on data protection and privacy. The challenge data set was compliant: if a user deleted a Tweet, or their data from Twitter, the dataset was promptly updated. Moreover, each change in the dataset implied new evaluations of all submissions and the update of the leaderboard metrics. The challenge was well received with 1,131 registered users. In the final phase, 20 teams were competing for the winning position. These teams had an average size of approximately 4 participants and developed an overall number of 127 different methods.

This study presents evidence of two tuyères, or blowpipe tips, used in metalworking at the Postclassic period city of Mayapán. Blowpipe technology has long been hypothesized to be the production technique for introducing oxygen to furnaces during the metal casting process on the basis of ethnohistorical depictions of the process in ancient Mesoamerica. To our knowledge, the tuyères recovered at Mayapán are the first archaeologically documented tuyères for pre-Hispanic Mesoamerica. The dimensions, internal perforation, vitrification, and presence of copper prills within the ceramic fabric, suggest that they were used in pyrotechnological production, likely metalworking, and is consistent with previous evidence for small-scale metalworking at Mayapán. Blowpipe use in metallurgical production is a logical extension of a much longer tradition of blowgun use in hunting, which was likely already present in Mesoamerica by the time metal was introduced to West Mexico from South America. Furthermore, the dimensions of the Mayapán tuyères are consistent with the internal diameter of ethnohistorically-documented blowguns from Jacaltenango in the southwest Maya region. We conducted replication experiments that suggest that when combined with wooden blowpipes, the Mayapán tuyères would have been ideal for small-scale, furnace-based metallurgy, of the type identified at Mayapán from Postclassic period contexts.

The influence of simulated in vitro digestion on antioxidant potential of protein fractions of traditional Serbian white-brined cheeses was investigated. Water-soluble (WSF) and water-insoluble fractions (WINF) of three cow’s and three ovine white-brined cheeses were fractionated. Total antioxidant capacity, reducing power and iron (II) chelating properties of these fractions before and after in vitro digestion were assayed. The investigated protein fractions had different antioxidant properties. WSFs had a better total antioxidant capacity and reducing power and less pronounced iron (II) chelating properties than WINFs. A strong negative correlation (-0.818, P<0.05) between the total antioxidant capacities of undigested WSF and WINF of traditional cheeses were observed. In vitro digestion greatly improved the total antioxidant capacities of WINFs (by 16.61-34.18 times), their reducing power (up to 95.77 %) and except in the case of Svrljig ovine cheese, the iron (II) chelating ability as well. A less pronounced increase (up to 71.29 %) of the total antioxidant capacity of WSFs was induced by in vitro digestion. In vitro digestion reduced reducing power of WSF of investigated ovine cheeses as well as reducing power of WSF of Homolje cow’s cheese. Since there was no significant correlation between the investigated antioxidant properties of digested WSFs and their free amino acids and mineral contents the observed differences should be attributed to different composition and properties of low molecular weight peptides. Thus, further investigations related to their isolation and characterization needs to be conducted. However, these results indicate that Serbian white-brined cheeses have great potential as source of antioxidant peptides.

ABSTRACT Transportation management, as a part of the supply chain management, is a complex process that consists of planning and delivering goods to customers. The paper presents a complete multi-phase intelligent and adaptive transportation management system, which includes data collection, parameter tuning, and the heuristic algorithm based on the Tabu search for vehicle routing. The paper describes the procedure for collecting Global Positioning System (GPS) data and analyzing the compliance with the proposed routes based on the data collected. The described routing algorithm is powerful and supports many real-world limitations. An algorithm for the anomaly detection in the GPS data is presented as well as the usage of collected GPS data to improve the future results of the algorithm. The concept was implemented and tested on real data in some of the largest distribution companies in Bosnia and Herzegovina. The proposed approach resulted with more than satisfactory results in real-world application.

Abstract Background The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) were analyzed in various carcinomas and their potential prognostic significance was determined. The objective of present study was to determine the correlation between these parameters and the survival of patients with small cell lung cancer (SCLC), since very few studies have been published on this type of carcinoma. Patients and methods One hundred and forty patients diagnosed with SCLC at University Hospital Center Zagreb, between 2012 and 2016 were retrospectively analyzed. Extensive-stage disease (ED) was verified in 80 patients and limited-stage disease (LD) in 60 patients. We analyzed the potential prognostic significance of various laboratory parameters, including NLR, PLR, and LMR, measured before the start of treatment. Results Disease extension, response to therapy, chest irradiation and prophylactic cranial irradiation (PCI), as well as hemoglobin, monocyte count, C-reactive protein (CRP), and lactate dehydrogenase (LDH) showed a prognostic significance in all patients. When we analyzed the patients separately, depending on the disease extension, we found that only skin metastases as well as LDH and NLR values, regardless of the cut-off value, had a prognostic significance in ED. Meanwhile, the ECOG performance status, chest irradiation, PCI, and hemoglobin and creatinine values had a prognostic significance in LD. Conclusions NLR calculated before the start of the treatment had a prognostic significance for ED, while PLR and LMR had no prognostic significance in any of the analyzed groups of patients.

In all information systems it is very important to operate with correct information. Incorrect information can lead to many problems that can cause direct financial and reputation loss of the company. Data used by the system can be gathered by sensors, scripts or by hand. In all those cases, mistakes are possible. It is important to detect mistakes on time and stop them from propagating further into the system. In this paper, a novel multi-step anomaly detection algorithm based on the greatest common divisor and median value is described. The algorithm for anomaly detection in historical sales data is used as a part of the smart warehouse management system which is implemented in some of the largest distribution companies in Bosnia and Herzegovina. The algorithm showed significant results in anomaly detection on company orders and improved a number of processes in the operation of the smart warehouse management system. The algorithm described can also be used in other areas where the transaction data is collected, such as sales and banking,

PurposeConceptual model in this paper combines existing scientific knowledge grounded in theories of planned behavior, diffusion of innovation and a unified theory of acceptance and use of technology, while aiming to identify relevant determinants of continuous use of e-learning by employees who used e-learning in the past year at their workplace.Design/methodology/approachThe authors developed and empirically tested the positive impact of professional, personal, IT and environmental factors on the continued use of e-learning among 672 employees across different sectors using the structural equation modeling technique.FindingsResearch results suggest that the most powerful determinant of continuous use of e-learning are personal factors. Environmental influences and technological aspects also exhibit a positive and significant impact on the continuous use of e-learning. Research hypothesis related to the positive influence of professional factors on the continuous use of e-learning has not been empirically confirmed. Also, results demonstrated that continued use of e-learning contributes to better individual business performance.Practical implicationsThe practical contribution is threefold: to companies, education institutions and human resource managers. For companies, identification of key determinants will lead to a better understanding of employees needs regarding continuous job improvements. The findings can be used by educational institutions to design e-learning programs according to results and real value to employees. On the other hand, human resource managers can benefit from this study in terms of getting concrete factors that motivate employees for continuous job improvement.Originality/valueThe research sheds light on the proposed integrated model that tests the post-adoption of the continuous use of e-learning within an organizational context.

The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) curated consensus somatic mutation calls using whole exome sequencing (WES) and whole genome sequencing (WGS), respectively. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2,658 cancers across 38 tumour types, we compare WES and WGS side-by-side from 746 TCGA samples, finding that ~80% of mutations overlap in covered exonic regions. We estimate that low variant allele fraction (VAF < 15%) and clonal heterogeneity contribute up to 68% of private WGS mutations and 71% of private WES mutations. We observe that ~30% of private WGS mutations trace to mutations identified by a single variant caller in WES consensus efforts. WGS captures both ~50% more variation in exonic regions and un-observed mutations in loci with variable GC-content. Together, our analysis highlights technological divergences between two reproducible somatic variant detection efforts. With the generation of large pan-cancer whole-exome and whole-genome sequencing projects, a question remains about how comparable these datasets are. Here, using The Cancer Genome Atlas samples analysed as part of the Pan-Cancer Analysis of Whole Genomes project, the authors explore the concordance of mutations called by whole exome sequencing and whole genome sequencing techniques.

A wideband wearable electromagnetic (EM) head imaging system for brain stroke detection is presented. The proposed system aims at overcoming the challenges of size, rigidity, and complex structures of existing systems. The proposed system is built into a light-weight and compact imaging platform, which integrates a 16-element antenna array into a highly flexible custom-made wearable cap made of a cost-effective and robust room-temperature-vulcanizing (RTV) silicone. The system mitigates the mismatch between the skin and antenna array by introducing a flexible high-permittivity matching layer. The utilized compact antenna demonstrates wideband operational frequency over 0.6-2.5 GHz with a low signal distortion, safe values of SAR, and unidirectional radiations. The system is experimentally validated on realistic head phantoms. The polar sensitivity encoding (PSE) image processing algorithm is utilized to generate 2D images of different testing scenarios. The obtained images of a stroke-like target inside the head phantoms demonstrate the merits and feasibility of the system for preclinical trials.

Vehicle Routing Problem (VRP) is the process of set selection of the most convenient route in a network of roads vehicles are supposed to drive along when serving customers. Although vehicle problems solutions are being researched and improved in science, this problem is also important in industry, and the reason is the potential reduction of the shipping cost. Transport management is the central problem in logistics of one company, and the choice of optimal routes is one of the crucial functions in that process. However, as much as routes are algorithmically optimal, and as much as they include predefined limitations, there are some factors in the realistic environment which perhaps are not adequately treated during the creating the given routes. The innovative approach of adjustment of most of the parameters and factors necessary for the VRP algorithms being used in reality is presented in this work. It is based on the principle of successful feasibility of the given routs in realistic environment. The feasibility of the routes on the realistic example of one of the greatest distribution companies in Bosnia and Herzegovina has been significantly increased by introducing the realistic settings and improvements by comparative results before and after the introduction of the suggested modifications.

Coronavirus disease 2019 (COVID 19) is a pandemic disease that is today a global public health problem caused by severe acute respiratory syndrome coronavirus 2 (SARS-COV-2). COVID-19 is a disease of middle and old age, but clinical expression may also be present in childhood. Asymptomatic and mild clinical forms are most often present in persons aged 0-19, but severe clinical forms such as, among others, acute respiratory distress syndrome and multisystem inflammatory syndrome may occur. In addition to presenting the epidemiology, clinical symptomatology of COVID-19, the authors consider certain specifics of COVID-19, that is, possible reasons for the lower incidence of the disease as well as unusual and rare clinical forms of the disease in children. The current activities of health professionals in the supervision of COVID-19 are mainly focused on early detection, isolation and treatment of patients, isolation of contacts, the regular and thorough practice of respiratory hygiene, hand hygiene, and physical distancing. Future efficient and safe vaccination will solve the biggest global medical challenge caused by the new coronavirus in the best possible manner.