The municipal solid waste (MSW) landfill is recognized as an anthropogenic source of air pollutants that can have a negative impact on human health and the environment. Workers who work at the MSW landfill may be exposed to risk due to the inhalation of substances such as volatile organic compounds (VOCs). Although VOCs account for 1% in landfill gas, they are important because of the high level of toxicity associated with them. Regular monitoring of air quality and risk assessment provides important information in protecting the health of workers at the landfill. This study focuses on a health risk assessment related to VOCs (benzene, toluene and xylene) exposure via inhalation for workers at a landfill Banja Luka, Republic of Srpska, Bosnia and Herzegovina. Additionally, cancer risk and non-cancer risk of benzene, toluene and xylene of workers indicated that occupational exposures were above recommended standard. This implies that landfill workers are exposed to a significant health risk associated with inhalation exposure to VOCs

Since August 2022 customers have to be asked if they are interested in sustainable investment when entering a pension contract. Hence, the provider has to be prepared to offer suitable investment opportunities. Further, the provider has to manage the new risks and chances of those assets in the whole portfolio. We therefore especially look at possible consequences for optimal portfolio decisions of a life insurer and suggest modeling approaches for the evolution of the demand and the sustainability ratings for sustainable assets. We will solve various portfolio problems under sustainability constraints explicitly and suggest further research topics. As a special feature for a life insurer, we particularly look at the role of the actuarial reserve fund and the annual declaration of its return.

We design and demonstrate a method for early detection of Denial-of-Service attacks. The proposed approach takes advantage of the OpenRAN framework to collect measurements from the air interface (for attack detection) and to dynamically control the operation of the Radio Access Network (RAN). For that purpose, we developed our near-Real Time (RT) RAN Intelligent Controller (RIC) interface. We apply and analyze a wide range of Machine Learning algorithms to data traffic analysis that satisfy the accuracy and latency requirements set by the near-RT RIC. Our results show that the proposed framework is able to correctly classify genuine vs. malicious traffic with high accuracy (i.e., 95%) in a realistic testbed environment, allowing us to detect attacks already at the Distributed Unit (DU), before malicious traffic even enters the Centralized Unit (CU).

Introduction: Physical activity has a positive effect on the regulation of diabetes mellitus and has been shown to have benefits in improving health. Aim: Examine the effects of physical activity on changes in glycemic parameters (glucose, HbA1C) and inflammatory parameters (leukocyte count (WBC), CRP) before and one month after the exercise program. Material and Methods: The study was designed as a prospective, analytical, and observational study. Results: T-test of paired samples assessed the impact of physical activity on glycemic and inflammatory parameters in subjects with confirmed Diabetes mellitus type 2 and in subjects without confirmed diabetes mellitus type 2. In subjects with confirmed diabetes the value of eta squared (ɳ2 - eta sqared) is 95%, which indicates a significant impact of physical activity on the change in glucose values and on the change of HbA1C value was indicated by the value of eta square of 93%. When it comes to inflammatory parameters, the impact of physical activity was found in the reduced number of WBC (ɳ2 = 88%), and in CRP (ɳ2 = 90%). In subjects without confirmed diabetes mellitus, a significant effect of physical activity on the change in glucose (ɳ2 = 94%) and HbA1C (ɳ2 = 77%). The influence of physical activity on the reduction of leukocyte count was proven by ɳ2 - eta sqared test (ɳ2 = 66%), as well as a decrease in CRP (ɳ2 = 30%). Conclusion: This study showed a significant impact of physical activity on the reduction of elevated glycemic and inflammatory parameters.

Background: Outcomes after acute rheumatic fever (ARF) diagnosis are variable, ranging from recovery to development of severe rheumatic heart disease (RHD). There is no diagnostic test. Evaluation using the Australian clinical diagnostic criteria can result in a diagnosis of definite, probable or possible ARF. The possible category was introduced in 2013 in Australias Northern Territory (NT). Our aim was to compare longitudinal outcomes after a diagnosis of definite, probable or possible ARF. Methods: We extracted data from the NT RHD register for Indigenous Australians with an initial diagnosis of ARF during the 5.5-year study period (01/01/2013 - 30/06/2019). Descriptive statistics were used to describe the demographic and clinical characteristics at initial ARF diagnosis. Kaplan-Meier curves were used to assess the probability of survival free of disease progression and the cumulative incidence risk at each year since initial diagnosis was calculated. Cox proportional hazards regression was used to determine whether time to disease progression differed according to ARF diagnosis and whether progression was associated with specific predictors at diagnosis. A multinomial logistic regression model was performed to assess whether ARF diagnosis was associated with RHD outcome and to assess associations between ARF diagnosis and clinical manifestations. A generalised linear mixed model (GLMM) was developed to assess any differences in the long-term antibiotic adherence between ARF diagnosis categories and to examine longitudinal trends in adherence. Results: There were 913 initial ARF cases, 732 with normal baseline echocardiography. Of these, 92 (13%) experienced disease progression: definite ARF 61/348 (18%); probable ARF 20/181 (11%); possible ARF 11/203 (5%). The proportion of ARF diagnoses that were uncertain (i.e. possible or probable) increased over time, from 22/78 (28%) in 2013 to 98/193 (51%) in 2018. Cumulative incidence risk of any disease progression at 5.5 years was 33.6 (23.6-46.2) for definite ARF, 13.5 (8.8-20.6) for probable and 11.4% (95% CI 6.0-21.3) for possible ARF. The probability of disease-free survival was lowest for definite ARF and highest for possible ARF (p=0.004). Cox proportional hazards regression indicated that disease progression was 2.19 times more likely in those with definite ARF than those with possible ARF (p=0.026). Progression to RHD was reported in 37/348 (11%) definite ARF, 10/181 (6%) probable ARF, and 5/203 (2%) possible ARF. The multinomial logistic regression model demonstrated a significantly higher risk of progression from no RHD to RHD if the initial diagnosis was definite compared to possible ARF (p<0.001 for both mild and moderate-severe RHD outcomes). The GLMM estimated that patients with definite ARF had a significantly higher adherence to antibiotic prophylaxis compared with probable ARF (p=0.024). Conclusion: These data indicate that the ARF diagnostic categories are being applied appropriately, are capturing more uncertain cases over time, provide a useful way to stratify risk and guide prognosis, and can help inform practice. Possible ARF is not entirely benign; some cases progress to RHD.

This Letter reports the observation of single top quarks produced together with a photon, which directly probes the electroweak coupling of the top quark. The analysis uses 139  fb^{-1} of 13 TeV proton-proton collision data collected with the ATLAS detector at the Large Hadron Collider. Requiring a photon with transverse momentum larger than 20 GeV and within the detector acceptance, the fiducial cross section is measured to be 688±23(stat) _{-71}^{+75}(syst)  fb, to be compared with the standard model prediction of 515_{-42}^{+36}  fb at next-to-leading order in QCD.

2D materials have attracted broad attention from researchers for their unique electronic properties, which may be been further enhanced by combining 2D layers into vertically stacked van der Waals heterostructures (vdWHs). Among the superlative properties of 2D systems, thermoelectric (TE) energy conversion promises to enable targeted energy conversion, localized thermal management, and thermal sensing. However, TE conversion efficiency remains limited by the inherent tradeoff between conductivity and thermopower. In this paper, we use first-principles calculation to study graphene-based vdWHs composed of graphene layers and hexagonal boron nitride (h-BN). We compute the electronic band structures of heterostructured systems using Quantum Espresso and their TE properties using BoltzTrap2. Our results have shown that stacking layers of these 2D materials opens a bandgap, increasing it with the number of h-BN interlayers, which significantly improves the power factor (PF). We predict a PF of ∼1.0 × 1011 W K−2 m s for the vdWHs, nearly double compared to 5 × 1010 W K−2 m s that we obtained for single-layer graphene. This study gives important information on the effect of stacking layers of 2D materials and points toward new avenues to optimize the TE properties of vdWHs.

Nickel (Ni) is a widespread environmental pollutant commonly released into effluent due to industrial activities, the use of fuels, or wastewater disposal. Many studies confirm the toxic effects of this heavy metal. However, there is a lack of knowledge and data on bioaccumulation patterns in tissues as well as cellular and molecular responses following the exposure of living organisms to Ni. In this study, Japanese quails were exposed to low (10 μg/L) and high (2000 μg/L) Ni concentrations in the form of nickel(II) chloride via drinking water. Sub-chronic exposure lasted 30 days while nominal concentrations represented average Ni content in drinking water (low dose) and average Ni levels in highly polluted aquatic environments (high dose). It was revealed that a high dose of Ni was correlated with increased water intake and decreased body weight. Overall, Ni exposure induced the development of microcytic anemia and alterations in measured blood indices. Moreover, Ni exposure impaired immunological activation as seen through the increased number of the white blood cells, increased heterophile/lymphocyte (H/L) ratio, and pronounced thrombocytosis. Ni elicited changes in the albumin, glucose, cholesterol, and triglyceride serum levels in a concentration-dependent manner. Alterations of plasma protein fractions suggested liver functional impairment while high levels of urea and creatinine indicated potential kidney injury. Granulation of heterophiles and an increase in erythroblasts in the bone marrow showed that the hematopoietic tissue was also impacted by Ni toxicity. On average each quail bioaccumulated 5.87 μg of Ni per gram of tissue. Moreover, the distribution and bioaccumulation of Ni in terms of relative concentration were as follows: feathers > kidneys > heart > liver > pectoral muscles. Assessed bioaccumulation levels and associated cellular and metabolic alterations have revealed new multilayer toxicological data that will help in the extrapolation of Ni toxicity in other vertebrates, including humans.

The research presented in this paper is focused on blackberry leaf extract (BLE) as a environmentally friendly corrosion inhibitor for copper in 0.5 M NaCl. The caffeic acid, quercetin-3-O-glucoside and kaempferol-3-O-glucoside were identified in BLE by using high-performance liquid chromatography (HPLC-DAD). The BLE functional groups were identified (ATR-FTIR). The electrochemical methods (potentiodynamic polarization, electrochemical frequency modulation and electrochemical impedance spectroscopy) show that BLE acts as a mixed type of inhibitor (max. IE is 97.19 %). The corrosion process is controlled by diffusion (BLE lower than 15 g/L) and charge transfer (15 g/L BLE).

Aim To compare outcomes of two different surgical techniques of coronary artery bypass grafting (CABG) for treating isolated left anterior descending (LAD) coronary artery disease by full median sternotomy technique vs. minimally invasive approach via left anterior mini-thoracotomy. Methods This retrospective, observational study, which included 61 elective patients, was conducted at the Clinic for Cardiovascular Surgery of the Clinical Centre of the University of Sarajevo in the period from June 2019 to January 2022. Patients were divided in two groups according to the operative technique used, the sternotomy CABG group of 30 patients where the access considered full median sternotomy, and the minimally invasive CABG group where left anterior mini-thoracotomy was performed. The groups were compared by previously defined primary and secondary clinical postoperative outcomes. Results Out of 61 patients, the majority was males, 50 (82%). The analysis of the outcomes of the minimally invasive CABG surgery showed significantly shorter operative times (p=0.001), less postoperative drainage (p=0.001) and transfusion requirements, shorter mechanical ventilation duration (p=0.0001), low major adverse cardiac and cerebrovascular events rates, as well as shorter Intensive Care Unit stay days with mean of 3.3±1.442 days (p=0.025), but no total hospital stay days with mean of 6.7±1.832 days (p=0.075) compared to sternotomy CABG group. Conclusion Minimally invasive approach for CABG surgery in treating isolated single vessel LAD disease, together with the fasttrack protocol, offers a reasonable alternative to full median sternotomy, leading to faster patients' overall recovery and improving the quality of life.

In this research, an analysis of the mechanical behaviour for the Orthofix external fixation device under the impact of torque was performed. Research considers application of the Orthofix device on the tibia bone for the case of unstable fracture. 3D (Three Dimensional) model of the Orthofix device was created in the CATIA (Computer Aided Three-Dimensional Interactive Application) software, based on the real device construction. Structural analysis was used to monitor and analyse the stress magnitudes on the specific areas of the fixation device and fracture. With usage of the interfragmentary displacement data for the bone fragments, degrees of stiffness are introduced for the fracture and fixation device. Obtained results are used to specify the mechanical behaviour of the Orthofix fixation device.

Aim To identify clinical and laboratory parameters on admission and/or during a hospital stay that would predict prolonged hospital stay in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). Methods A retrospective cross-sectional study was conducted at the Clinic for Pulmonary Diseases and Tuberculosis, Clinical Centre University of Sarajevo for the period 2019-2021 accounting patients admitted due to AECOPD. The need for hospitalization was evaluated according to the current GOLD criteria and certain clinical parameters. Spirometry testing and laboratory analysis were performed for all patients on the day of admission and on the 10th day of hospital stay. Linear regression was used to show the relationship between multiple independent predictor variables and LOS. Results A total of 50 patients were evaluated during their hospital stay due to AECOPD. Median of LOS was 22.02±1.06, with 90% hospital survival rate. Due to AECOPD the median of LOS in the intensive care unit (ICU) was 4±0.68 days with pH<7.35 in 34% of hospitalized patients. According to spirometry classification on the day of admission, 56% of patients were assigned to group 3 and 16% to group 4 with significant improvement identified on spirometry findings on discharge. Platelets on the day of admission were the only statistically significant positive predictors of the length of hospital stay. Conclusion Identifying chronic obstructive pulmonary disease patients at risk of frequent exacerbations and appropriate disease management could reduce the disease burden.

Highlights • T-cell receptor (TCR) interaction with major histocompatibility complex–antigen complexes leads to antitumour responses.• TCR sequencing analysis allows characterisation of T cells that recognise tumour neoantigens.• T-cell clonal revival and clonal replacement potentially underpin immunotherapy responses.

This research combines complex systems science, geographical information systems, and environmental noise modelling to analyse effects of future air mobility in urban settings and plan efficient routes for vehicles. The research used the environmental noise maps of an urban agglomeration produced under the Environmental Noise Directive (END) as input to inform the UAV operations. These maps reveal potential routes for the UAV operations where the noise impact of the vehicle can be embedded within a high background noise due to the existing sources modelled under the END. When an agent based model is superimposed on a real-world map simple strategies of the diverse agents in interaction with the environment reveal patterns, such as dominant paths, points of congestion, and suggest positioning of terrestrial infrastructure. We investigate how agents can overcome the conflicts and find trade-off solutions by interacting only with their immediate neighbours-therefore enabling autonomy, decentralization, and putting to use emergent self-organising behaviour. The potential impact of increased drone operations on urban and peri urban regions is significant. Route optimisation which does not consider the noise is likely to impact on quite areas within our residential spaces and should be considered as part of noise action planning.