Noise represents any unwanted sound that interferes with a person's work, psychological and health condition, and their rest time. Numerous studies indicate that noise affects changes in human behavior (aggression, social conflicts) and causes stress reactions associated with physiological reactions. It also affects the central and neurovegetative system, reduces attention and concentration ability, reduces work ability, and reduces work productivity. Noise pollution is a major environmental health problem in Europe, with the transport sector being its main cause. The noise level is mostly affected by the number of vehicles, traffic flow, relative share of passenger and freight vehicles, their speed, types and characteristics of the road, whether the traffic is one-way or two-way, intersections, weather conditions, etc. In order to adequately protect against the negative effects of traffic noise, it is necessary to take various measures to reduce it. This paper provides a comprehensive review of the literature with special measures for the protection, monitoring and reduction of the negative impact of traffic noise. Keywords: traffic, traffic noise, protection measures, noise barriers

The properties of semiconductor materials can be strongly affected by the addition of metallic nanoparticles. Here we investigate the properties of SiC+Au and Si3N4+Au thin films prepared by magnetron sputtering deposition followed by thermal annealing. The influence of gold addition on the optical and electrical properties is explored. We show the formation of self-assembled Au nanoparticles in SiC and Si3N4, with the size and arrangement properties determined by the deposition and annealing conditions. Both SiC- and Si3N4-based films show an increase in the overall absorption with increasing Au content, and its decrease with increasing annealing temperature. All films show the presence of surface plasmon resonance, whose peaks shift toward larger wavelengths with increasing Au nanoparticle size. The resistivity significantly drops with the Au content increase for both types of matrices, although the resistivity of Si3N4-based films is much higher. The incorporated quantity of Au in the host matrix was chosen in such a way to demonstrate that a huge range of optical and electrical characteristics is achievable. The materials are very interesting for application in opto-electronic devices.

Public health of people and individuals is the most important resource in the modern world. The sugar epidemic and cardiovascular diseases are linked to the obesity epidemic. As obesity appears at younger and younger ages, it is to be expected that the proportion of people who have been obese for the number of years will increase and that those practicing a "sedentary lifestyle" will move less and less. Diabetes mellitus type 2 (DMT2) and cardiovascular diseases (CD) are among the top ten causes of death in the world. It is observed that the association between DMT2 and CD risk is not the same for both sexes, with the cardiovascular risk associated with DMT2 being greater in women. Among the different strategies for the prevention and treatment of DMT2 and risk factors for CD, physical exercise has been largely recommended because of its positive effects on glycemic control, body mass, blood pressure, and lipid profile. A higher level of daily physical activity significantly reduces the risk of contracting numerous diseases such as: diabetes, diseases of the heart and blood vessels, certain forms of malignant diseases, obesity, asthma, osteoporosis and others.  Article visualizations:

Introduction: Energy drinks (EDs) are products in the form of a beverage or concentrated liquid designed to increase both mental and physical stimulations. Their popularity has grown tremendously, especially among children and adolescents, regardless of the growing number of undesirable health consequences associated with their consumption. This study aimed to evaluate the content of additives in EDs available in the Bosnian and Herzegovinian (B&H) markets. Methods: Twenty-two EDs from 15 brands were analyzed. The contents of quinine (QUIN), caffeine (CAF), benzoic acid (BZA), and sorbic acid (SA) were determined by high-performance liquid chromatography. Results: The median value of QUIN, CAF, SA, and BZA was 0.15 ppm, 309.05 ppm, 75.35 ppm, and 90.80 ppm, respectively. The highest CAF content variation was found in EDs of brand 4, and the lowest was in brand 6. A statistically significant difference was found between the obtained values in relation to the recommended daily intake of CAF for adolescents by the Centers for Disease Control and Prevention and the American Academy of Pediatrics (p < 0.001). Conclusion: The CAF content in EDs deviates by 10% from the content stated in the product declaration. All EDs on the B&H market should carry a clear warning: “High CAF content must not be mixed with alcohol and is not recommended for children, pregnant and/or lactating women, and CAF-sensitive individuals.” Given the behavioral trends associated with the potential risks of excessive CAF consumption, particularly among youth, national agencies in B&H should recognize areas of intervention such as responsible marketing and advertising, and education and awareness-raising. Further research and monitoring would be needed to determine the effectiveness of the various aspects of the proposed risk management approach.

The classification of biological neuron types and networks poses challenges to the full understanding of the human brain’s organisation and functioning. In this paper, we develop a novel objective classification model of biological neuronal morphology and electrical types and their networks, based on the attributes of neuronal communication using supervised machine learning solutions. This presents advantages compared to the existing approaches in neuroinformatics since the data related to mutual information or delay between neurons obtained from spike trains are more abundant than conventional morphological data. We constructed two open-access computational platforms of various neuronal circuits from the Blue Brain Project realistic models, named Neurpy and Neurgen. Then, we investigated how we could perform network tomography with cortical neuronal circuits for the morphological, topological and electrical classification of neurons. We extracted the simulated data of 10,000 network topology combinations with five layers, 25 morphological type (m-type) cells, and 14 electrical type (e-type) cells. We applied the data to several different classifiers (including Support Vector Machine (SVM), Decision Trees, Random Forest, and Artificial Neural Networks). We achieved accuracies of up to 70%, and the inference of biological network structures using network tomography reached up to 65% of accuracy. Objective classification of biological networks can be achieved with cascaded machine learning methods using neuron communication data. SVM methods seem to perform better amongst used techniques. Our research not only contributes to existing classification efforts but sets the road-map for future usage of brain–machine interfaces towards an in vivo objective classification of neurons as a sensing mechanism of the brain’s structure.

Since 1990, over 13 000 ha of constructed wetlands (CWs) have been implemented to increase biodiversity and reduce nitrogen (N) and phosphorus (P) loads to Swedish waters. Despite the considerable number of CWs and ambitious investments planned for the coming three years, there is limited follow up of cost-efficiency of catchment- and landscape-scale nutrient retention by existing CWs. Such follow up evaluation could provide clear guidance regarding optimal size and location of future CWs. We present a three-step modelling approach to assess cost-efficiency of 233 CWs in two Swedish regions (East, 4321 km2, and West, 916 km2). Modelled nutrient retention in CWs was predominantly low, especially in the East, due to their suboptimal location in catchments, e.g., with inadequate upstream areas (low hydraulic loads) and/or low share of arable land (low nutrient loads). Suboptimal location of CWs generates both higher than necessary costs and low area-specific nutrient retention, leading to low cost-efficiency. Some high cost-efficiency CWs were identified, especially for N retention in the West. To increase their cost-efficiency, continued investments in CWs require clear guidance and instructions. To achieve optimal placement, both CW site and size in relation to incoming hydraulic and nutrient loads must be considered.

Conflict of interest: COI declared see note COI notes: The authors declare no competing financial interests. MB is a consultant for Oxford Immunotech. AS is a consultant for Gritstone Bio, Flow Pharma, Arcturus Therapeutics, ImmunoScape, CellCarta, Avalia, Moderna, Fortress and Repertoire. LJI has filed for patent protection for various aspects of T cell epitope and vaccine design work. Preprint server: No; Author contributions and disclosures: LB, LH, AÖ, GB, MSC, HGL and MB contributed to conceptualization, funding acquisition and discussion of data. YG, KH and SM and DW performed experiments and analyzed data. LB, HMIS, CK, LH and AÖ recruited study participants, conducted management of participants during the study and analyzed data. AG and AS provided peptide pools to measure the spike-specific T cell responses. LB, DW, AÖ, LH, HGL and MB wrote the original draft of the manuscript. All authors reviewed and edited revisions of the manuscript and had final responsibility for the decision to submit for publication. Non-author contributions and disclosures: No; Agreement to Share Publication-Related Data and Data Sharing Statement: Emails to the corresponding author Clinical trial registration information (if any):

Among numerous causative agents recognized as oncogenic drivers, 13% of total cancer cases occur as a result of viral infections. The intricacy and diversity of carcinogenic processes, however, raise significant concerns about the mechanistic function of viruses in cancer. All tumor-associated viruses have been shown to encode viral oncogenes with a potential for cell transformation and the development of malignancies, including diffuse large B-cell lymphoma (DLBCL). Given the difficulties in identifying single mechanistic explanations, it is necessary to combine ideas from systems biology and viral evolution to comprehend the processes driving viral cancer. The potential for more efficient and acceptable therapies lies in targeted medicines that aim at viral proteins or trigger immune responses to either avoid infection or eliminate infected or cancerous cells. In this review, we aim to describe the role of viral infections and their mechanistic approaches in DLBCL tumorigenesis. To the best of our knowledge, this is the first review summarizing the oncogenic potential of numerous viral agents in DLBCL development.

The development of blockchain has allowed for the development of new concepts and ideas. A completely immutable ledger might not be appropriate for all new applications that are being envisaged for the blockchain. One of them is self-sovereign identity. The aim of this paper is to analyze the possible use cases for blockchain redaction in SSI. Main concepts of redaction and a summary of the current research progress are given. Use cases for redaction in SSI are categorized and described alongside their existing solutions. Detailed proposal for possible use cases is given and comparison is drawn between this solution and existing solution. Future challenges are introduced.

Various methods are nowadays available to design observers for broad classes of systems. Nevertheless, the question of the tuning of the observer to achieve satisfactory estimation performance remains largely open. This paper presents a general supervisory design framework for online tuning of the observer gains with the aim of achieving various trade-offs between robustness and speed of convergence. We assume that a robust nominal observer has been designed for a general nonlinear system and the goal is to improve its performance. We present for this purpose a novel hybrid multi-observer, which consists of the nominal one and a bank of additional observer-like systems, that are collectively referred to as modes and that differ from the nominal observer only in their output injection gains. We then evaluate on-line the estimation cost of each mode of the multi-observer and, based on these costs, we select one of them at each time instant. Two different strategies are proposed. In the first one, initial conditions of the modes are reset each time the algorithm switches between different modes. In the second one, the initial conditions are not reset. We prove a convergence property for the hybrid estimation scheme and we illustrate the efficiency of the approach in improving the performance of a given nominal high-gain observer on a numerical example.

Abstract The main objective of this paper is to investigate determinants of non-performing loans in the Middle East and North Africa region by exploring the role of bank-specific and macroeconomic factors, particularly in the period of the global financial crisis, as well as the COVID-19 pandemic, as a health crisis that translates to an economic crisis. This study includes 74 banks belonging to 11 MENA countries over the period 2005–2020 and uses the two-stage system generalized method of moment estimator. To conduct a comparative analysis, the whole sample is divided into two sub-samples. The first one is related to the Middle East countries and the second one covers North African countries. The empirical findings indicate that the level of non-performing loans is more sensitive to bank specifics than macroeconomic factors. When it comes to macroeconomic factors, macroeconomic environment and institutional quality significantly affect the level of NPLs. However, no significant effect has been detected regarding the impact of the COVID-19 pandemic.

Purpose of review Autoimmune and inflammatory complications have been shown to arise in all age groups and across the spectrum of inborn errors of immunity (IEI). This review aims to highlight recent ground-breaking research and its impact on our understanding of IEI. Recent findings Three registry-based studies of unprecedented size revealed the high prevalence of autoimmune, inflammatory and malignant complications in IEI. Two novel IEI were discovered: an autoinflammatory relopathy, cleavage-resistant RIPK1-induced autoinflammatory syndrome, as well as an inheritable phenocopy of PD-1 blockade-associated complication (as seen in cancer therapy) manifesting with multiorgan autoimmunity and Mycobacterium tuberculosis infection. A study examining patients with partial RAG deficiency pinpointed the specific defects leading to the failure of central and peripheral tolerance resulting in wide-ranging autoimmunity. A novel variant of Immunodeficiency Polyendocrinopathy Enteropathy X-linked syndrome was described, associated with preferential expression of a FOXP3 isoform lacking exon 2, linking exon-specific functions and the phenotypes corresponding to their absence. Lastly, we touch on recent findings pertaining actinopathies, the prototypical IEI with autoimmune, inflammatory and atopic complications. Summary Dysregulated immunity has been associated with IEI since their discovery. Recently, large concerted efforts have shown how common these complications actually are while providing insight into normal and dysregulated molecular mechanisms, as well as describing novel diseases.