We investigate how an IRS (Intelligent Reflective Surface) deployment within a terahertz (THz) band communication system, can detect and classify indoor vapour clouds expelled in violent expiratory events, such as coughing. This detection is of interest for public health systems. Since indoor spaces are sites for deployment of wireless communication infrastructure in any case, combined sensing and communication is an attractive solution. Using 6G networks to accomplish this while not affecting communication performance, is a relevant and useful application of THz signal’s properties. We use machine learning to distinguish between violent expiratory events and other aerosol emissions.

Abstract Background: Low-grade chronic inflammation is an important feature of chronic kidney disease (CKD). Aim: To determine the values of C-reactive protein (CRP), neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) in patients with different stages of CKD and to examine how they change depending on the progression of renal damage. Materials and methods: A cross-sectional descriptive comparative study included 157 subjects at different stages of CKD which was assessed based on glomerular filtration rate (GFR) calculated according to the MDRD equation. CRP was analyzed by an immunoturbidimetric method. NLR and PLR were calculated by a mathematical calculation after a blood count was performed. Results: The present study showed an increase in serum creatinine, CRP, and NLR values with progression of renal failure. There was a statistically significant difference in the creatinine and CRP concentrations between groups with different stages of CKD (p <0.001 for all comparisons). A significant positive correlation was found between NLR and CRP, while negative, significant correlations were observed between NLR and eGFR as well as between PLR and eGFR. There was a slight increase in PLR value with the progression of renal impairment, but the correlation between PLR and CRP was not significant. Conclusion: These results suggest that NLR, together with CRP, may serve as an indicator of systemic low-grade inflammation progression in patients with CKD. Larger prospective studies are required to observe the possibility of using NLR as a surrogate marker for CRP in patients with CKD.

Simple Summary The tumor microenvironment (TME) is defined as the environment surrounding a tumor. There is a close, dynamic relation and interaction between the tumor and its neighboring microenvironment. There are some particularities of the thymus itself and of the TME of thymic epithelial tumors that hinder the routine use of targeted therapies, including immune checkpoint inhibitors. The understanding of the unique characteristics of the TME of thymic epithelial tumors could possibly result in the development of novel promising therapies. Abstract The tumor microenvironment (TME) is a complex and constantly changing entity. The TME consists of stromal cells, fibroblasts, endothelial cells, and innate and adaptive immune cells. Cancer development and progression occurs through this interplay between the tumor and the adjacent stroma. Cancer cells are capable of modifying their microenvironment by secreting various message-carrying molecules, such as cytokines, chemokines, and other factors. This action causes a reprogramming of the neighboring cells, which are enabled to play a crucial role in tumor survival and progression. The study of TME has many clinical implications in terms of cancer therapeutics because many new drugs, such as antibodies, kinase inhibitors, and liposome formulations that can encapsulate anti-cancer drugs, can be developed. Although chemotherapy is considered the standard of treatment for advanced disease, recent research has brought to light immunotherapy as a possible systemic alternative. However, the complex structure and function of the thymus hinders its routine use in clinical practice. The aim of this review paper is to discuss the recent advances in the investigation of the unique characteristics of the TME of thymic epithelial tumors that could possibly lead to the development of novel promising therapies.

The ornate dog tick (Dermacentor reticulatus) shows a recently expanding geographic distribution. Knowledge on its intraspecific variability, population structure, rate of genetic diversity and divergence, including its evolution and geographic distribution, is crucial to understand its dispersal capacity. All such information would help to evaluate the potential risk of future spread of associated pathogens of medical and veterinary concern. A set of 865 D. reticulatus ticks was collected from 65 localities across 21 countries, from Portugal in the west to Kazakhstan and southern Russia in the east. Cluster analyses of 16 microsatellite loci were combined with nuclear (ITS2, 18S) and mitochondrial (12S, 16S, COI) sequence data to uncover the ticks' population structures and geographical patterns. Approximate Bayesian computation was applied to model evolutionary relationships among the found clusters. Low variability and a weak phylogenetic signal showing an east-west cline were detected both for mitochondrial and nuclear sequence markers. Microsatellite analyses revealed three genetic clusters, where the eastern and western cluster gradient was supplemented by a third, northern cluster. Alternative scenarios could explain such a tripartite population structure by independent formation of clusters in separate refugia, limited gene flow connected with isolation by distance causing a "bipolar pattern", and the northern cluster deriving from admixture between the eastern and western populations. The best supported demographic scenario of this tick species indicates that the northern cluster derived from admixture between the eastern and western populations 441 (median) to 224 (mode) generations ago, suggesting a possible link with the end of the Little Ice Age in Europe.

This article presents a concept of a TSN Controller NetApp to support diverse vertical applications and provide Quality of Service guarantees during their life-cycle. The NetApp is composed of a Controller entity that receives and processes requests from vertical applications with specific network performance demands, and an Agent entity which applies configurations and monitors the state of network elements. This control architecture has been extended to support wireless TSN communication on top of openwifi, supporting the flexibility required by vertical applications with mobile devices such as drones and automated guided vehicles. We describe the building blocks of the TSNC NetApp supporting wired-wireless TSN deployments and show its experimental results demonstrating the feasibility of our solution.

Abstract Waste transport is just one of the segments in the solid municipal waste management. Throughout the entire waste life cycle, starting by generation of waste, via storing, collecting, transporting, recycling, treating and depositing, several different polluting substances are emitted. The solid waste transport, apropos, transporting vehicles emit into the air different pollution substances such as CO2, CO, NOx, NMVOC, PM, PAHs etc. These substances can present certain problems for human health and environment. The research subject of this study is the analysis of solid waste transportation within the Banja Luka region (B&H), from towns and municipalities belonging to the region and transporting their mixed municipal waste to the Banja Luka landfill. In the analysis, following parameters are included: distance to the landfill, type of vehicle used for the waste transportation, type of the engine, vehicle capacity and the number of tours during a year. The study estimates the emission of CO, NOx, NMVOC, and PM2.5 during one year using the listed parameters and by applying EMEP/EEA guidelines for estimating the emission of polluting substances into the air. The largest emission of polluting substances (CO, NOx, NMVOC and PM2.5) is from the oldest vehicles. The newest vehicles had a significantly lesser emission of these polluting substances into the air. The recommendation for decreasing the emission from the transportation vehicles is to organise the transfer-stations, procure new vehicles, optimise the collection routes and decrease the number of tours, as well as to better the usage of the vehicle capacity level.

Abstract COVID-19 is behind us, that is, it no longer poses a direct threat to the normal functioning of higher education. Nevertheless, the answers to the challenges in teaching, brought with it by COVID-19, have become an integral part of the curriculum of higher education institutions. When it comes to online teaching in accounting courses, additional creativity was expected from the teaching staff to successfully transfer knowledge. This was a particularly difficult challenge for those institutions and teaching staff who had not previously applied online teaching and online tools in the teaching process. The research was conducted on students of the Faculty of Economics of the University of Mostar (EF Mostar, FEM) and students of the Faculty of Economics of the University of Split (EF Split, FES), who took one or more accounting courses in the pandemic academic year 2020/2021 and partly in the academic year 2021/2022. The paper tried to offer answers to the questions about the degree of student satisfaction with online teaching, what are the advantages and disadvantages of this kind of teaching, and in which aspects there is room for improvement when considering the teaching of accounting courses in the context of online teaching.

Conducting safety simulations in various simulators, such as the Gazebo simulator, became a very popular means of testing vehicles against potential safety risks (i.e. crashes). However, this was not the case with security testing. Performing security testing in a simulator is very difficult because security attacks are performed on a different abstraction level. In addition, the attacks themselves are becoming more sophisticated, which directly contributes to the difficulty of executing them in a simulator. In this paper, we attempt to tackle the aforementioned gap by investigating possible attacks that can be simulated, and then performing their simulations. The presented approach shows that attacks targeting the LiDAR and GPS components of unmanned aerial vehicles can be simulated. This is achieved by exploiting vulnerabilities of the ROS and MAVLink protocol and injecting malicious processes into an application. As a result, messages with arbitrary values can be spoofed to the corresponding topics, which allows attackers to update relevant parameters and cause a potential crash of a vehicle. This was tested in multiple scenarios, thereby proving that it is indeed possible to simulate certain attack types, such as spoofing and jamming.