We provide an ultraviolet (UV) complete model for the R(D(∗)) anomalies, in which the additional contribution to semi-tauonic b → c transitions arises from decay to a right-handed sterile neutrino via exchange of a TeV-scale SU(2)L singlet W′. The model is based on an extension of the Standard Model (SM) hypercharge group, U(1)Y , to the SU(2)V × U(1)′ gauge group, containing several pairs of heavy vector-like fermions. We present a comprehensive phenomenological survey of the model, ranging from the low-energy flavor physics, direct searches at the LHC, to neutrino physics and cosmology. We show that, while the W′ and Z′-induced constraints are important, it is possible to find parameter space naturally consistent with all the available data. The sterile neutrino sector also offers rich phenomenology, including possibilities for measurable dark radiation, gamma ray signals, and displaced decays at colliders.

While the increasing penetration of renewable energy resources (RERs) into the electric power grid reduces greenhouse gas emissions, it may drive the grid’s parts towards the “weak grid” conditions under which grid instability may occur due to small disturbances leading to voltage oscillations affecting the operation of renewable generation plants. To avoid such grid weak issues, one effective way is to reinforce the power grid by updating its components. A cost-effective grid reinforcement needs the information of critical components whose updates can significantly strengthen the power grid for renewable energy operation. In this paper, we study the identification of such critical components by the impact analysis of power network structure on grid strength. It is shown that the critical network components are shared by critical transmission paths between renewable energy resources and synchronous generation resources in a power grid. Moreover, critical transmission paths can be identified with the network structure information represented in node admittance matrix and node impedance matrix. Numerical results are demonstrated in the IEEE-9 bus and IEEE-39 bus systems.

We examine a machine learning approach for detecting common Class and Method level code smells (Data Class and God Class, Feature Envy and Long Method). The focus of the work is selection of reduced set of features that will achieve high classification accuracy. The proposed features may be used by the developers to develop better quality software since the selected features focus on the most critical parts of the code that is responsible for creation of common code smells. We obtained a high accuracy results for all four code smells using the selected features: 98.57% for Data Class, 97.86% for God Class, 99.67% for Feature Envy, and 99.76% for Long Method.

SUMMARY – The purpose of the study was to assess the level of serum malondialdehyde (MDA) concentration and its association with the stage and histopathologic sizes of colorectal cancer (CRC). One hundred and two patients having undergone surgical treatment of CRC between January 2014 and December 2015 were included in this cross-sectional study. The patients were divided into four groups (stage I-IV) according to the TNM classification. Control group included 30 subjects with no signs of malignancy and inflammatory diseases. In each patient, preoperative blood samples were obtained for determination of MDA concentration by ELISA immunoassay. Serum levels of MDA were progressively increased in patients with CRC, reaching the highest value in the fourth stage of CRC. Serum concentrations of MDA were significantly higher in pT4 group as compared with pT3 and pT2 groups of CRC patients (p<0.01). Significantly higher levels of MDA were found in the N1 and N2 groups of CRC patients as compared with N0 group, as well as in patients with metastatic disease as compared with those without metastasis (p<0.001). In conclusion, the progression of CRC is associated with a significant increase in serum MDA levels.

The increasing body of research is focused on developing tools and applications that aid the learning process of children with or without disabilities. However, learning by gaming is still not recognized by formal educational systems. The author believes that the application of this approach is particularly slow at the level of primary and secondary education in countries with low and middle income, such as Bosnia and Herzegovina. Integrating serious games into curricula in these contexts could significantly benefit the students, as well as the community in general. This work, therefore, promotes technology as one of the crucial educational and pedagogical components. It provides an overview of selected educational games created for pre-school and elementary school children with specific learning intentions revolving around alphabet, colours and elementary science. A pilot study was performed with neuro-typical and neuro-atypical children, and professionals working at an NGO ``EDUS - Education for All''. The findings show that both students and instructors have a positive attitude towards the game design and logic, and more importantly, towards the technology itself. In the end, we believe that the games presented in this paper can be valuable resources for teachers, as well as for children and parents.

One of the most important and most challenging tasks of a mechanism analysis is the problem of mechanism kinematics. This paper shows the way to determine unknown angular accelerations of joint-bar mechanism components, by applying so-called (by authors) epsilon co-function. Using this method, the problem is reduced onto an analysis of relative angular accelerations of neighboring members within the mechanism and determination of a moment of all those vectors with respect to a point or an axis. The main contribution of this paper is that it shows the novel method how to calculate angular accelerations of mechanism members using analog form of equations that are similar to the moment balance equations in statics. Considering that the relative angular velocity vectors play role of forces in statics, this paper shows how to form a system of kinematic equations similar to moment equations in statics, which are sufficient to solve for all angular accelerations of a mechanism.

Abstract The aim of this study is to provide an insight into Balkan populations’ genetic relations utilizing in silico analysis of Y-STR haplotypes and performing haplogroup predictions together with network analysis of the same haplotypes for visualization of the relations between chosen haplotypes and Balkan populations in general. The population dataset used in this study was obtained using 23, 17, 12, 9 and 7 Y-STR loci for 13 populations. The 13 populations include: Bosnia and Herzegovina (B&H), Croatia, Macedonia, Slovenia, Greece, Romany (Hungary), Hungary, Serbia, Montenegro, Albania, Kosovo, Romania and Bulgaria. The overall dataset contains a total of 2179 samples with 1878 different haplotypes. I2a was detected as the major haplogroup in four out of thirteen analysed Balkan populations. The four populations (B&H, Croatia, Montenegro and Serbia) which had I2a as the most prevalent haplogroup were all from the former Yugoslavian republic. The remaining two major populations from former Yugoslavia, Macedonia and Slovenia, had E1b1b and R1a haplogroups as the most prevalent, respectively. The populations with E1b1b haplogroup as the most prevalent one are Macedonian, Romanian, as well as Albanian populations from Kosovo and Albania. The I2a haplogroup cluster is more compact when compared to E1b1b and R1b haplogroup clusters, indicating a larger degree of homogeneity within the haplotypes that belong to the I2a haplogroup. Our study demonstrates that a combination of haplogroup prediction and network analysis represents an effective approach to utilize publicly available Y-STR datasets for population genetics.

Two-lane rural roads in Bosnia and Herzegovina take up the highest percentage of the national road network and thus carry almost the entire heavy traffic. That is why long platoons are often formed on such roads, vehicle speed is low, and traffic density is high. In order to improve the quality of traffic, it is necessary to determine the level of service for the existing situation and for alternatives involving reconstruction of critical elements along this road network. The percent-time-spent-following is studied in this paper as it is an appropriate measure for determining efficiency of two-lane rural roads.