Urban forests are part of the public city space and have multiple significance. Various roles of greenery (health, social, aesthetic, cultural, educational, etc.) improve the quality of life in the city. Urban forests can play key roles in mitigate stormwater runoff, improve air quality, reduces noise level, store carbon, etc. The system of green areas in a continuous and dynamic interaction with the built structure in a city. Because of the above, subject of the research is determining the state of greenery in the Banja Luka area and the changes that accompany it and to suggest the planning of green areas and protect them.

Environmental noise pollution, a form of air pollution, is a threat to health and well-being. The primary aim of this study was to determine noise pollution in the urban part of the city of Banja Luka in Jovana Dučića Street (Republic of Srpska, Bosnia and Herzegovina (BiH)) by evaluating noise levels in the street. The aim of this research is also to compare the measured noise levels in the street with legislation. The measured values exceeded the level of noise allowed. Results indicated that noise level values in this area near health institution are alarming.

Differentiated vulvar intraepithelial neoplasia (dVIN) is the precursor lesion of HPV-negative vulvar squamous cell carcinoma (VSCC). The histopathological diagnosis of dVIN can be challenging, as it often resembles vulvar non-neoplastic epithelial disorders (NNED), especially lichen sclerosus (LS). We aimed to establish the most specific and reproducible histological features of dVIN and assessed cytokeratin 13 (CK13) and cytokeratin 17 (CK17) immunohistochemistry as a diagnostic aid. Consecutive cases of dVIN (n = 180) and LS (n = 105) from the period 2010 to 2013 were reviewed using a checklist of histological features. Each feature was recorded as ‘present’ or ‘absent’ and statistical comparison (dVIN vs LS) was made. Interobserver agreement between two pairs of pathologists was assessed for a subset of cases of dVIN (n = 31) and LS and other NNED (n = 23). Immunohistochemistry with CK13, CK17, MIB1 and p53 was performed on dVIN, LS, and other NNED cases. Macronucleoli, features of disturbed maturation and angulated nuclei were significantly more common in dVIN than LS (p < 0.001). We found ‘substantial agreement’ for the diagnosis of dVIN (κ = 0.71). Macronucleoli and deep keratinisation had the highest agreement. In dVIN, the mean percentage of cells staining with CK13 was 15 and with CK17, this was 74. For LS, the mean percentage of cells staining with CK13 was 31, and with CK17, this was 41. By plotting receiver operating characteristic curves (ROC), an area under the curve (AUC) of 0.52 was obtained for CK13, and an AUC of 0.87 was obtained for CK17. The most helpful histological features for diagnosing dVIN were macronucleoli, features of disturbed maturation, and angulated nuclei. Increased CK17 expression may have promise for supporting dVIN diagnosis.

As more attention is paid to security in the context of control systems and as attacks occur to real control systems throughout the world, it has become clear that some of the most nefarious attacks are those that evade detection. The term stealthy has come to encompass a variety of techniques that attackers can employ to avoid being detected. In this manuscript, for a class of perturbed linear time-invariant systems, we propose two security metrics to quantify the potential impact that stealthy attacks could have on the system dynamics by tampering with sensor measurements. We provide analysis mathematical tools (in terms of linear matrix inequalities) to quantify these metrics for given system dynamics, control structure, system monitor, and set of sensors being attacked. Then, we provide synthesis tools (in terms of semidefinite programs) to redesign controllers and monitors such that the impact of stealthy attacks is minimized and the required attack-free system performance is guaranteed.

We extend the Nystr\"om method for low-rank approximation of positive definite Mercer kernels to approximation of indefinite kernel matrices. Our result is the first derivation of the approach that does not require the positive definiteness of the kernel function. Building on this result, we then devise highly scalable methods for learning in reproducing kernel Kre\u{\i}n spaces. The main motivation for our work comes from problems with structured representations (e.g., graphs, strings, time-series), where it is relatively easy to devise a pairwise (dis)similarity function based on intuition/knowledge of a domain expert. Such pairwise functions are typically not positive definite and it is often well beyond the expertise of practitioners to verify this condition. The proposed large scale approaches for learning in reproducing kernel Kre\u{\i}n spaces provide principled and theoretically well-founded means to tackle this class of problems. The effectiveness of the approaches is evaluated empirically using kernels defined on structured and vectorial data representations.

The main objective of the European policy of rail transport is the development of a single railway area. The opening of the railway sector to market competition impose that railway undertakings behave like any other modern enterprises in other markets and in other industries. It means, they must constantly develop and maintain competitive advantages, and be better than others. In today’s very intense competition conditions, this is the most difficult to achieve. The railway undertakings are challenged to find optimal solutions to operate efficiently and effectively, in order not only to survive on the transport market, but also to develop and maintain a competitive advantage. The paper developed innovative model for the evaluation of efficiency of railway operators for passenger transport assessing the scope of work of railway undertakings that can greatly help to increase the competitive ability of railway undertakings in the single railway market. The developed models allow the integration of indicator groups (resources, operational, financial, quality and safety indicators) into a single assessment of the scope of work of railway undertakings and also allow the provision of information about the corrective actions that can improve the scope of work of the railway undertaking. The proposed model has been tested on actual examples, e.g. railway undertaking Railways of Republic of Srpska. The analysis of the results shows exceptional suitability for use of developed approach for assessing the scope of work of railway undertakings.

Introduction: Carcinoembryonic antigen (CEA) is used for monitoring of disease progression and treatment response in cancer patients. Our aim was to compare the performance of chemiluminescent microparticle immunoassay (CMIA) with electrochemiluminescence immunoassay (ECLIA) for CEA. Methods: A total of 115 samples were collected during routine diagnostic, prognostic and therapy monitoring procedures in patients with colorectal and pancreatic cancer. We used ARCHITECT i2000SR and Cobas E601 for CEA analysis in sera samples. Results: The correlation coefficient of 0.984 [95% CI: 0.972 to 0.991] for results obtained on both platforms was observed for CEA≤10 ng/mL group. Moreover, intercept of 0.9027 [95% CI: 0.705 to 1.099] and slope 0.8076 [95% CI: 0.765 to 0.8498]  (p < 0.0001) was observed in this group. In CEA >10 ng/mL group we observed slope = 1.1986  [95%CI: 1.1474 to 1.2498]  (p < 0.0001), intercept = -11.69 [-17.53 to - 5.84] and correlation coefficient of 0.985 [95% CI: 0.976 to 0.9914]. Mean differences between assays in group ≤10 ng/mL and >10 ng/mL were 0.2066 (95% CI: 0.0019 to 0.4113) and –2.66 (95% CI: -10.10 to 4.76) ng/mL, respectively. Conclusion: Although there were differences, based on 20 days precision tests, overall results showed a good analytical performance and correlation between CEA assays on ARCHITECT i2000SR and Cobas E601 platforms. Reference intervals appropriate for the method of CEA measurement should be used. The standardization and harmonization of serum CEA concentration assays are needed.

Van der Waals interactions in 2D materials have enabled the realization of nanoelectronics with high‐density vertical integration. Yet, poor energy transport through such 2D–2D and 2D–3D interfaces can limit a device's performance due to overheating. One long‐standing question in the field is how different encapsulating layers (e.g., contact metals or gate oxides) contribute to the thermal transport at the interface of 2D materials with their 3D substrates. Here, a novel self‐heating/self‐sensing electrical thermometry platform is developed based on atomically thin, metallic Ti3C2 MXene sheets, which enables experimental investigation of the thermal transport at a Ti3C2/SiO2 interface, with and without an aluminum oxide (AlOx) encapsulating layer. It is found that at room temperature, the thermal boundary conductance (TBC) increases from 10.8 to 19.5 MW m−2 K−1 upon AlOx encapsulation. Boltzmann transport modeling reveals that the TBC can be understood as a series combination of an external resistance between the MXene and the substrate, due to the coupling of low‐frequency flexural acoustic (ZA) phonons to substrate modes, and an internal resistance between ZA and in‐plane phonon modes. It is revealed that internal resistance is a bottle‐neck to heat removal and that encapsulation speeds up the heat transfer into low‐frequency ZA modes and reduces their depopulation, thus increasing the effective TBC.

Algorithms for distributed coordination and control are increasingly being used in smart grid applications including peer-to-peer energy trading and sharing to improve reliability and efficiency of the power system. However, for realistic deployment of these algorithms, their designs should take into account the suboptimal conditions of the communication network, in particular the communication links that connect the energy trading entities in the energy network. This study proposes a distributed adaptive primal (DAP) routing algorithm to facilitate communication and coordination among proactive prosumers in an energy network over imperfect communication links. The proposed technique employs a multi-commodity flow optimization scheme in its formulation with the objective to minimize both the communication delay and loss of energy transactional messages due to suboptimal network conditions. Taking into account realistic constraints relating to network delay and communication link capacity between the peers, the DAP routing algorithm is used to evaluate network performance using various figures of merit such as probability of signal loss, message delay, congestion and different network topologies. Further, we address the link communication delay problem by redirecting traffic from congested links to less utilized ones. The results show that the proposed routing algorithm is robust to packet loss on the communication links with a 20% reduction in delay compared with hop-by-hop adaptive link state routing algorithm.

Introduction: The aim of this study was to assess the level of burnout syndrome among primary healthcare professionals in Canton Sarajevo and whether there is a link between the levels of burnout syndrome and sociodemographic parameters. Methods: We included a total of 300 primary healthcare professionals. The burnout syndrome level was measured by Maslach Burnout Inventory, consisting of 22 particles (3 subscales) measuring the level of emotional exhaustion (EE), depersonalization (DP), and personal accomplishment (PA). We analyzed the correlation and difference between the level of burnout and sociodemographic parameters. Results: The study revealed that in Canton Sarajevo 25.3% of healthcare professionals experience a high level of EE, 17.7% experience DP, and 19.0% experience a low level of PA. The subjects under 40 years experienced a higher level of EE than older subjects (p=0.000). There were significant differences in PA subscale between men and women (p=0.033), women having lower level of PA than males. Respondents who worked in shifts and respondents with indefinite period employment experience significantly a high level of EE. Subjects who drink alcohol had a higher level of DP. Conclusion: Healthcare professionals are at increased risk of burnout. Factors which increase the burnout syndrome risk in health professionals in Sarajevo Canton were: age under 40 years old, female, working in shifts and drinking alcohol.

The Turopolje pig is a local porcine breed originating from Croatia characterised by its rusticity and adaptation to the traditional outdoor farming system linked to local oak forests. While this once-widespread breed was almost completely replaced by industrial breeds in the second half of the 20th century, there is growing interest on promoting its production in the framework of sustainable porcine production. The objective of our study (made in project TREASURE) was to characterise the gut microbiota composition in 24 Turopolje pigs raised outdoor by using a conventional feed vs a conventional feed supplemented with acorns. The gut microbiota composition of all pigs was determined by re-sequencing the bacterial 16S gene in an Illumina MiSeq device. Bioinformatics analyses were performed by using Qiime’s open-reference OTU calling subsampled method following author’s recommendations. NMDS and PERMANOVA analyses performed by using the Vegan R package showed significant effects of diet, showing that the acorn supplementation has a relevant impact on gut microbiota, notably by reducing richness and diversity. This result was confirmed in the differential abundance analysis which showed that 152 out of 1,466 OTUs were significantly different between the two groups. Interestingly, the predicted microbiota metabolic functions that were differentially abundant involved fatty acid and amino-acid

Recent developments in computer and communication technologies are leading to an increasingly networked and wireless world. This raises new challenging questions in the context of networked control systems, especially when the computation, communication and energy resources of the system are limited. To efficiently use the available resources it is desirable to limit the control actions to instances when the system really needs attention. Unfortunately, the classical time-triggered control paradigm is based on performing sensing and actuation actions periodically in time (irrespective of the state of the system) rather than when the system needs attention. Therefore, it is of interest to consider event-triggered control as an alternative paradigm as it is more natural to trigger control actions based on the system state, output, or other available information. Event-triggered control can thus be seen as the introduction of feedback in the sensing, communication, and actuation processes. To facilitate an easy implementation of event-triggered control, we propose to combine the principles and particularly the benefits of event-triggered control and classical periodic time-triggered control. The idea is to periodically evaluate the triggering condition and to decide, at every sampling instant, whether the feedback loop needs to be closed. This leads to the so-called periodic event-triggered control (PETC) systems. In this chapter, we discuss PETC strategies, their benefits and two analysis and design frameworks for linear and nonlinear plants, respectively.