Tick-borne encephalitis (TBE) represents an important public health problem in Europe. We analyzed the epidemiology of TBE based on data from humans, animals, and Ixodes ricinus ticks in endemic regions of continental Croatia. In the period from 2017 to 2023, cerebrospinal fluid (CSF) and serum samples of 684 patients with neuroinvasive diseases, 2240 horse serum samples, and 300 sheep serum samples were tested for TBEV. In addition, 8751 I. ricinus ticks were collected. CSF samples were tested using RT-PCR. Serological tests (serum, CSF) were performed using commercial ELISA, with confirmation of cross-reactive samples by a virus neutralization test. Eighty-four autochthonous human TBEV cases were confirmed. The majority of patients were in the age group of 40–69 years (58.3%) with a male predominance (70.2%). TBE showed a bimodal seasonality with a large peak in April–August and a small one in October–November. In addition to humans, TBEV IgG antibodies were found in 12.2% of horses and 9.7% of sheep. Seasonal tick abundance corresponds to the reported number of human infections. Continental Croatia is still an active natural focus of TBE. Continuous monitoring of infections in humans, sentinel animals, and ticks is needed for the implementation of preventive measures.

Purpose- The purpose of this study is to investigate whether regional variations exist in the development of the digital economy and how they impact growth in the four global regions where Muslims predominate. Methodology- The study employs empirical examination of 48 countries with Muslim majority divided in four regions (Middle East and North Africa region, Europe and Eurasia region, South Asia, East Asia region and the Pacific and Africa region) between 2000 to 2021. The study employs Kao Residual Cointegration Test, and the Long-run Valuation of Fully Modified Ordinary Least Squares (FMOLS/DOLS-Dynamic). A certain number of specific variables in the econometric model will be employed to measure the level of digitization on economic growth, such as: Digital economy infrastructure proxied by Individuals using the internet, Digital economic openness proxied by ICT product exports and Digital technology competitiveness proxied by Research and Development as share of GDP. Findings- The analysis reveals that despite the fact that the digital economy made a positive contribution to economic growth in both Sub-Saharan Africa and Europe and Euroasia, the impact on these regions is less than that on the Middle East and North Africa, South Asia, East Asia, and the Pacific countries due to the underdeveloped infrastructure of the digital economy The least effect of digitalization on growth was found in Sub-Saharan African countries with low incomes.. Conclusion- Based upon the analysis, it may be concluded that digitalization can considerably boost economic growth, but its benefits may differ depending on how developed a nation is. There is a clear geographical imbalance in the development of the digital economy across 48 nations with a majority of Muslims .To increase overall GDP growth, those countries need to look into policies that will help increase ICT and the digital economy use. Keywords: Digital economy, economic growth, ICT, the Muslim Word, panel cointegration model. JEL Codes: O40, O47, E22.

We report on an ongoing measles outbreak in the Federation of Bosnia and Herzegovina with 141 cases notified between week 52 2023 and week 6 2024. Among those with known vaccination status, 97% were unvaccinated and the most affected group is children under the age of 5 years (n = 87) who were not vaccinated during the pandemic years. Sixty-eight cases were hospitalised, the most common complications were measles-related pneumonia and diarrhoea. The sequenced measles viruses from four cases belonged to genotype D8.

Background: Frequent episodes of nasal symptoms are the usual clinical manifestations (CM) of allergic rhinitis (AR) and have a significant negative impact on health-related quality of life (HRQoL) in adolescents. The purpose of this cross-sectional study was to test the hypothesis that cytokines in nasal mucus may be associated with HRQoL in adolescents with AR. Methods: European Quality of Life 5 Dimensions 3 Level Version (EQ-5D-3L), “The Adolescent Rhinoconjunctivitis Quality of Life Questionnaire” (AdolRQLQ) and the Total 4 Symptom Score (T4SS) scoring system were administered to 113 adolescents with AR, nonallergic rhinitis (NAR) and to healthy control subjects. Nasal secretions were sampled and tested for 13 cytokines using a multiplex flow cytometric bead assay. Results: The AR group had significantly lower EQ-5D-3L (0.661 ± 0.267 vs. 0.943 ± 0.088; p < 0.001) and higher AdolRQLQ total scores (2.76 ± 1.01 vs. 1.02 ± 0.10; p < 0.001) compared to the control group. The AR group had higher concentrations of IL-1β (p = 0.002), IL-6 (p = 0.031), IL-8 (p < 0.001), IL17-A (p = 0.013) and IL-18 (p = 0.014) compared to the control group, and IL-1β, IL-6, IL17-A and IL-18 were significantly (p < 0.050) increased with disease progression. Cytokines IL-1β, IL-6, as well as severe CM, were identified as significant predictors of lower HRQoL in adolescents with AR. Conclusions: This study identified IL-1β, IL-6, as well as severe CM, as predictors of lower HRQoL in adolescents with AR. However, these results should only serve as a starting point for additional confirmation research.

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Aim This study provides a comprehensive review of the current literature on the use of ChatGPT, a generative Artificial Intelligence (AI) tool, in neurosurgery. The study examines potential benefits and limitations of ChatGPT in neurosurgical practice and education. Methods The study involved a systematic review of the current literature on the use of AI in neurosurgery, with a focus on ChatGPT. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed to ensure a comprehensive and transparent review process. Thirteen studies met the inclusion criteria and were included in the final analysis. The data extracted from the included studies were analysed and synthesized to provide an overview of the current state of research on the use of ChatGPT in neurosurgery. Results The ChatGPT showed a potential to complement and enhance neurosurgical practice. However, there are risks and limitations associated with its use, including question format limitations, validation challenges, and algorithmic bias. The study highlights the importance of validating machine-generated content for accuracy and addressing ethical concerns associated with AI technologies. The study also identifies potential benefits of ChatGPT, such as providing personalized treatment plans, supporting surgical planning and navigation, and enhancing large data processing efficiency and accuracy. Conclusion The integration of AI technologies into neurosurgery should be approached with caution and careful consideration of ethical and validation issues. Continued research and development of AI tools in neurosurgery can help us further understand their potential benefits and limitations.

UBASH3A and UBASH3B are protein families of atypical protein tyrosine phosphatases that function as regulators of various cellular processes during mammalian development. As UBASH3A has only mild phosphatase activity, its regulatory effects are based on the phosphatase-independent mechanisms. On the contrary, UBASH3B has strong phosphatase activity, and the suppression of its receptor signalling is mediated by Syk and Zap-70 kinases. The regulatory functions of UBASH3A and UBASH3B are particularly evident in the lymphoid tissues and kidney development. These tyrosine phosphatases are also known to play key roles in autoimmunity and neoplasms. However, their involvement in mammalian development and its regulatory functions are largely unknown and are discussed in this review.

Aim To investigate the correlations between tumour characteristics, symptoms, intraoperative findings, and outcomes in patient with meningioma. Methods A retrospective study was conducted on 86 surgically treated patients at Department of Neurosurgery of Cantonal Hospital Zenica from 2010 to 2020. Patients with intracranial meningiomas underwent neurological evaluation and MRI scans to analyse tumour characteristics, including volume (TV), peritumoral brain oedema (PTBE) and oedema index (EI). Surgical treatment was performed, followed by postoperative MRI and outcome assessment. Intraoperatively, the tumour's relationship with cortex, pial membrane, skull bones, and sinuses was evaluated, and the extent of tumour resection was graded. Meningioma samples underwent histopathological analysis to assess the grade and regularity of borders, and Ki-67 labelling index was determined using immunohistochemistry. Results Significant correlations were found between PTBE and Ki67 expression (p<0.001), PTBE and vomiting/nausea (p=0.002), cognitive impairment (p=0.047), venous compression (p=0.001), cortical, pial and dural invasion (p<0.05), and the postoperative presence of oedema (p=0.002). Venous compression, cortical, pial, dural and bone invasion positively correlated with Ki-67 expression (p<0.001). Grade and tumour border positively correlated with Ki-67 expression (p<0.001). Oedema persistence postoperatively showed a positive correlation with Ki-67 expression (p<0.001). Conclusion The study revealed significant correlations between Ki-67 expression and PTBE, with notable associations with clinical symptoms, tumour characteristics, and postoperative oedema presence.

Efficiently mapping quantum circuits onto hardware is integral for the quantum compilation process, wherein a circuit is modified in accordance with a quantum processor’s connectivity. Many techniques currently exist for solving this problem, wherein SWAP-gate overhead is usually prioritized as a cost metric. We reconstitute quantum circuit mapping using tools from quantum information theory, showing that a lower bound, which we dub the lightcone bound, emerges for a circuit executed on hardware. We also develop an initial placement algorithm based on graph similarity search, aiding us in optimally placing circuit qubits onto a device. 600 realistic benchmarks using the IBM Qiskit compiler and a brute-force method are then tested against the lightcone bound, with results unambiguously verifying the veracity of the bound, while permitting trustworthy estimations of minimal overhead in near-term realizations of quantum algorithms. This work constitutes the first use of quantum circuit uncomplexity to practically-relevant quantum computing.