The content of micro- and macroelements in dry wild and edible Morchella esculenta and Lactarius piperatus mushrooms collected in Bosnia and Herzegovina was determined using the ICP-OES (inductively coupled plasma optical emission spectrom- etry) technique. The contents of microelements in M. esculenta and L. piperatus expressed in mg kg −1 DW (dry weight) were as follows: Co 0.08 and 0.28, Cu 37.35 and 27.66, Fe 174.29 and 28.11, Mn 21.26 and 19.31, Se 0.46 and 0.52, Zn 122.84 and 45.06, Al 27.80 and 24.80, Cr 0.83 and 1.06, Ni 0.99 and 0.96, As 0.32 and 0.09, Cd 0.48 and 0.13, and Pb 0.61 and 0.12, respectively, while the contents of macroelements were: K 26989.48 and 36117.20, Na 70.85 and 28.60, Ca 643.48 and 271.93, Mg 684.16 and 840.64, S 2329.33 and 610.42, and P 10339.35 and 5107.63, respectively. In this study, the potential health risks of heavy metals were assessed, and target hazard quotient (THQ) for As, Cd, Pb, Cu, Zn, Ni, and Cr in the tested mushrooms was lower than the safe level. Edible wild mushrooms M. esculenta and L. piperatus , according to this study, could be used in human nutrition due to their favourable characteristics. Based on the accumulations of heavy metals in the tested mushrooms, it was shown that the collection surfaces are environmentally acceptable. Mushrooms collected from this area are generally safe to eat and pose no health risks to humans.

ABSTRACT The main goal of every company is to gain as much profit as possible, and a very important goal is also to obtain a competitive advantage in the market. In this paper, it has been developed and applied an integrated model, which is based on a PCA-DEA-MCDM approach, with the aim of evaluating the efficiency of a transport company from Bosnia and Herzegovina. At the very beginning, using the PCA (Principal Component Analysis)–DEA (Data Envelopment Analysis) model, efficient and inefficient business years were identified, and then, using CRITIC (Criteria Importance Through Inter Criteria Correlation) and the Entropy method, weight values of defined parameters were determined. After that, the decision-making units were ranked using MARCOS (Measurement Alternatives and Ranking according to the Compromise Solution). In addition, the sensitivity analysis includes the formation of scenarios of changes in weight values of five most significant criteria and the calculation of SCC and WS correlation coefficients. The application of this integrated model, in addition to identifying efficient/inefficient years of operation, enables the identification of influencing factors of the most efficient year of operation, which can serve as a benchmark to further contribute to the efficiency of the transport company.

An outbreak of acute hepatitis of unknown aetiology in children was reported in Scotland^ 1 in April 2022 and has now been identified in 35 countries^ 2 . Several recent studies have suggested an association with human adenovirus with this outbreak, a virus not commonly associated with hepatitis. Here we report a detailed case–control investigation and find an association between adeno-associated virus 2 (AAV2) infection and host genetics in disease susceptibility. Using next-generation sequencing, PCR with reverse transcription, serology and in situ hybridization, we detected recent infection with AAV2 in plasma and liver samples in 26 out of 32 (81%) cases of hepatitis compared with 5 out of 74 (7%) of samples from unaffected individuals. Furthermore, AAV2 was detected within ballooned hepatocytes alongside a prominent T cell infiltrate in liver biopsy samples. In keeping with a CD4^+ T-cell-mediated immune pathology, the human leukocyte antigen (HLA) class II HLA-DRB1*04:01 allele was identified in 25 out of 27 cases (93%) compared with a background frequency of 10 out of 64 (16%; P  = 5.49 × 10^−12). In summary, we report an outbreak of acute paediatric hepatitis associated with AAV2 infection (most likely acquired as a co-infection with human adenovirus that is usually required as a ‘helper virus’ to support AAV2 replication) and disease susceptibility related to HLA class II status. A case–control study investigating the causes of recent cases of acute hepatitis of unknown aetiology in 32 children identifies an association between adeno-associated virus infection and host genetics in disease susceptibility.

Introdução: A fibromialgia é uma síndrome dolorosa muito comum na prática clínica, caracterizada, principalmente, por dor musculoesquelética crônica e generalizada, bem como fadiga, rigidez articular e distúrbios do sono. No entanto, possui uma apresentação clínica bastante vasta e heterogênea, comprometendo diversas esferas da vida dos pacientes. O objetivo foi verificar a efetividade das terapias em grupo na qualidade de vida dos pacientes fibromiálgicos. Método: Trata-se de uma revisão sistemática, a qual buscou analisar as pesquisas relacionadas ao tema entre 2010 e 2020. A busca dos artigos ocorreu na BVS nas bases de dados LILACS e MEDLINE, sendo incluídos apenas artigos originais disponíveis na íntegra. Resultados: Foram encontradas 86 publicações científicas e, após exclusão de duplicados, aplicação de filtros e análise inicial, foram selecionados 6 artigos para compor o corpo amostral. Posteriormente, os artigos foram agrupados de acordo com a sua temática central em: 1) Efeitos positivos da terapia interdisciplinar em grupo nos sintomas físicos e psicossociais da fibromialgia; 2) Empoderamento do paciente no enfrentamento da fibromialgia; e 3) Qualidade da assistência profissional e a rede de apoio social da terapia em grupo. Conclusão: Verificou-se que a aplicação das terapias em grupos impactou, positivamente, a qualidade de vida dos pacientes em sua dimensão física, psicoemocional e social. Além disso, concluiu-se que incluir o paciente como protagonista do seu tratamento e construir uma rede de apoio são fundamentais para o enfrentamento da doença.

Global seismographic networks (GSNs) emerged during the late nineteenth and early twentieth centuries, facilitated by seminal international developments in theory, technology, instrumentation, and data exchange. The mid‐ to late‐twentieth century saw the creation of the World‐Wide Standardized Seismographic Network (1961) and International Deployment of Accelerometers (1976), which advanced global geographic coverage as seismometer bandwidth increased greatly allowing for the recording of the Earth's principal seismic spectrum. The modern era of global observations and rapid data access began during the 1980s, and notably included the inception of the GEOSCOPE initiative (1982) and GSN (1988). Through continual improvements, GEOSCOPE and the GSN have realized near‐real time recording of ground motion with state‐of‐art data quality, dynamic range, and timing precision to encompass 180 seismic stations, many in very remote locations. Data from GSNs are increasingly integrated with other geophysical data (e.g., space geodesy, infrasound and Interferometric Synthetic Aperture Radar). Globally distributed seismic data are critical to resolving crust, mantle, and core structure; illuminating features of the plate tectonic and mantle convection system; rapid characterization of earthquakes; identification of potential tsunamis; global nuclear test verification; and provide sensitive proxies for environmental changes. As the global geosciences community continues to advance our understanding of Earth structure and processes controlling elastic wave propagation, GSN infrastructure offers a springboard to realize increasingly multi‐instrument geophysical observatories. Here, we review the historical, scientific, and monitoring heritage of GSNs, summarize key discoveries, and discuss future associated opportunities for Earth Science.

The increasing penetration of inverter-based resources (IBRs) is changing grid dynamics and challenging safe and reliable grid operation. Particularly, the increasing integration of IBRs may cause the small-signal stability issues resulting from the dynamic interaction between the IBR inverter controls and the power network in a power system with high penetration of IBRs. It is challenging for assessing the small-signal stability in such a power system due to the complex interaction between IBRs interconnected through the power network. The assessment complexity is further increased when considering variable IBR generation. To address the challenges, this paper proposes a method for small-signal stability analysis of a multi-IBR power system under uncertain renewable generation. First, we derive that the small-signal stability of a multi-IBR power system can be estimated based on the smallest eigenvalue of a weighted Laplacian matrix of the power network. Then, a robust optimization problem is formulated to analyze the small-signal stability of a multi-IBR power system under variable renewable generation. The efficacy of the proposed method is demonstrated on a power system with three IBRs by eigenvalue analysis and electromagnetic transient simulations.

The growing penetration of renewable resources such as wind and solar into the electric power grid through power electronic inverters is changing the grid dynamics and challenging grid protection. Due to the advanced inverter control algorithms, the inverter-based resources present fault responses different from conventional generators, which can fundamentally affect the way that the power grid is protected and thus is challenging grid protection engineers. This paper studies inverter dynamics during the system restoration period and their impact on protection schemes in a grid-connected solar photovoltaic (PV) system following grid disturbances. To this end, the solar PV system with a detailed inverter model that consider inverter switching dynamics along with inverter blocking and deblocking functions are constructed for the hardware-in-loop simulation based on a real-time digital simulator (RTDS). It is found that undesired transient events such as three-phase overvoltage and overcurrent as well as negative sequence current may occur after the inverter is deblocked to reinject energy into the system during the restoration period following a grid disturbance, especially when the system is under weak grid conditions. The undesired transient events may lead to misoperation of instantaneous overcurrent and negative sequence overcurrent protection schemes.

The arrival of modern protection relays on distribution networks offers us an excellent opportunity to better understand the performance of network protection and to efficiently identify coordination problems. The analysis of relay event reports helps establishing the source of unnecessary relay protection tripping. In this work, the analysis of measurements of digital over-current relays is conducted. The case study is focused on performing a macro level analysis of protection coordination on Hydro-Québec's distribution network. Additionally, a characterisation of short circuits has been performed. A list of observations followed by recommendations for improvement of relay protection strategy in distribution networks is presented using the results of this case study.

This paper explores the use of microgrids during cold-load pickup (CLPU) phenomena, which are typical after an outage in distribution networks with high share of ther-mostatically controlled load (TCL). We present a mixed-integer linear programming (MILP) formulation for scheduling service restoration (SR). The proposed model computes the optimal re-connection sequence, generation and storage levels for the microgrids as well as power supply level from the main grid. The model is tested on different modifications of the IEEE-13 feeder network. The proposed approach is suitable for practical SR scheduling and to test the CLPU capabilities of a distribution network during the planning process.

Background: Weight gain is becoming increasingly prevalent amongst people with HIV (PWH) receiving contemporary antiretroviral treatment. We investigated BMI changes and clinical impact in a large prospective observational study. Methods: PWH aged ≥18 years were included who started a new antiretroviral (baseline) during 2010–2019 with baseline and ≥1 follow-up BMI assessment available. Rates of clinical outcomes (cardiovascular disease [CVD], malignancies, diabetes mellitus [DM] and all-cause mortality) were analysed using Poisson regression to assess effect of time-updated BMI changes (>1 kg/m2 decrease, ±1 kg/m2 stable, >1 kg/m2 increase), lagged by 1-year to reduce reverse causality. Analyses were adjusted for baseline BMI plus key confounders including antiretroviral exposure. Results: 6721 PWH were included; 72.3% were male, median age 48 years (interquartile range [IQR] 40–55). At baseline, 8.4% were antiretroviral-naive, and 5.0% were underweight, 59.7% healthy weight, 27.5% overweight, and 7.8% were living with obesity. There was an 8.2% increase in proportion of overweight and 4.8% in obesity over the study period (median follow-up 4.4 years [IQR 2.6–6.7]). 100 CVDs, 149 malignancies, 144 DMs, and 257 deaths were observed with incidence rates 4.4, 6.8, 6.6, 10.6 per 1000 person-years of follow-up, respectively. Compared to stable BMI, >1 kg/m2 increase was associated with increased risk of DM (adjusted incidence rate ratio [IRR]: 1.96, 95% confidence interval [CI]: 1.36–2.80) and >1 kg/m2 decrease with increased risk of death (adjusted IRR: 2.33, 95% CI: 1.73–3.13). No significant associations were observed between BMI changes and CVD or malignancies. Conclusions: A BMI increase was associated with DM and a decrease associated with death.