System of Systems (SoS) represent a set of independent Constituent Systems (CS) that collaborate in order to provide functionalities that they are unable to achieve independently. We consider SoS as a set of connected services that needs to be adequately protected. The integration of these independent, evolutionary and distributed systems, intensifies SoS complexity and emphasizes the behavior uncertainty, which makes an SoS security analysis a critical challenge. One of the major priorities when designing SoS, is to analyze the unknown dependencies among CS services and vulnerabilities leading to potential cyberattacks. The aim of this work is to investigate how Software Engineering approaches could be leveraged to analyze the cyberattack propagation problem within an SoS. Such analysis is essential for an efficient SoS risk assessment performed early at the SoS design phase and required to protect the SoS from possibly high impact attacks affecting its safety and security. In order to achieve our objective, we present a model-driven analysis approach, based on Bayesian Networks, a sensitivity analysis and Common Vulnerability Scoring System (CVSS) with aim to discover potential cyberattacks propagation and estimate the probability of a security failure and its impact on SoS services. We illustrate this approach in an autonomous quarry example.

Abstract Power systems around the world have undergone a number of important organizational, structural and technological changes over the past few decades; they are a direct consequence of the electricity market liberalization and transition from conventional energy conversion technologies towards renewable resources. These changes represent many advantages as well as challenges for the Distribution System Operator (DSO). The aim of this paper is to review the most important principles, objectives and technical criteria used in planning the development of the electricity distribution network. Presented principles can be used as basic guidelines when developing short-term and long-term plans for the construction and reconstruction of power distribution facilities. This paper also presents a methodological approach to the planning and ranking of proposed electricity facilities with an example from practice that is based on the real planning problem in ED Mostar. The basic conclusion of the paper is that the identification of objectives, criteria and the application of an appropriate and unique methodology is of the utmost importance for formulating the framework of the planning process.

A significant number of small farms in Bosnia and Herzegovina (BiH) produce berry fruits. Some of them achieve good economic results, however many have significant potential for further improvement. Due to several beneficial factors, many farms decide for cultivation of a single berry fruit activity, however this decision implies a potential risk in case of unfavourable production or market conditions for that crop. The aim of this analysis is therefore to observe the extent of risk reduction by application of different diversification strategies, using two types of berry fruits; and the most efficient production plans for such a farm from a risk perspective. A linear program was utilized to prepare an optimal production plan, while quadratic risk programming served to analyse risk. Results show that diversification could be a significantly important possibility for risk reduction on such farm type. It is possible to reduce risk with capital and labour less intensive production activities. Production of the highly intensive strawberry variety Clery has highest Estimated Gross Margin (EGM), but is also associated with very high risk. If one includes raspberries or blueberries into the production plan, it is possible to significantly reduce risk while almost keeping EGM at the same level. On the other hand, if the farmer is risk averse, the highest opportunity cost for risk reduction on such a farm type is in production of raspberry and blueberry, where it is necessary to give up 3.25 EUR on average for decreasing risk for one EUR. In the other two scenarios, production of strawberry – blueberry and strawberry – raspberry, risk gradient values are almost the same with amount 2.57 EUR sand 2.56 EUR, respectively.

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The neuropeptides oxytocin (OT) and vasopressin (VP) and their G protein-coupled receptors OTR, V1aR, V1bR, and V2R form an important and widely-distributed neuroendocrine signaling system. In mammals, this signaling system regulates water homeostasis, blood pressure, reproduction, as well as social behaviors such as pair bonding, trust and aggression. There exists high demand for ligands with differing pharmacological profiles to study the physiological and pathological functions of the individual receptor subtypes. Here, we present the pharmacological characterization of an arthropod (Metaseiulus occidentalis) OT/VP-like nonapeptide across the human OT/VP receptors. I8-arachnotocin is a full agonist with respect to second messenger signaling at human V2R (EC50 34 nM) and V1bR (EC50 1.2 µM), a partial agonist at OTR (EC50 790 nM), and a competitive antagonist at V1aR [pA2 6.25 (558 nM)]. Intriguingly, I8-arachnotocin activated the Gαs pathway of V2R without recruiting either β-arrestin-1 or β-arrestin-2. I8-arachnotocin might thus be a novel pharmacological tool to study the (patho)physiological relevance of β-arrestin-1 or -2 recruitment to the V2R. These findings furthermore highlight arthropods as a novel, vast and untapped source for the discovery of novel pharmacological probes and potential drug leads targeting neurohormone receptors.

An important aspect of managing multi access point (AP) IEEE 802.11 networks is the support for mobility management by controlling the handover process. Most handover algorithms, residing on the client station (STA), are reactive and take a long time to converge, and thus severely impact Quality of Service (QoS) and Quality of Experience (QoE). Centralized approaches to mobility and handover management are mostly proprietary, reactive and require changes to the client STA. In this paper, we first created an Software-Defined Networking (SDN) modular handover management framework called HuMOR, which can create, validate and evaluate handover algorithms that preserve QoS. Relying on the capabilities of HuMOR, we introduce ABRAHAM, a machine learning backed, proactive, handover algorithm that uses multiple metrics to predict the future state of the network and optimize the load to ensure the preservation of QoS. We compare ABRAHAM to a number of alternative handover algorithms in a comprehensive QoS study, and demonstrate that it outperforms them with an average throughput improvement of up to 139%, while statistical analysis shows that there is significant statistical difference between ABRAHAM and the rest of the algorithms.

Introduction: Electroencephalography can also be used to monitor long-term recovery of the patient after acute phase of the disease. Impaired neurocognitive function after infection, similar to brain injury, may present a transient but also prolonged problem for the functioning of an individual. Some studies have shown that importance of EEG may not be significant in sequel monitoring, because the extensive changes in EEG seen with severe forms of CNS infection do not necessarily imply a longer-term poor outcome. Aim: To examine the predictive potential of electroencephalography (EEG) in regard to the emergence of neurological and cognitive sequelae of acute central nervous system (CNS) infection. Methods: The study included 62 patients treated at the Clinic for Infectious Diseases, Clinical Center of Sarajevo University, who were diagnosed with acute CNS infection. The EEG record was characterized as: normal, non-specific changes of mild, moderate and severe degree and specific changes. The sequelae (headache, cognitive dysfunction, neurological and neurophysiological disorders, audiological and behavioral disorders) was evaluated by combining neurological, psychiatric, pediatric, otolaryngological, ophthalmic and infectological examination in the Neuroinfective Counseling Department for up to 6 months after discharge. Results: After a treatment of an acute CNS infection 25 (40.3%) patients had no sequelae and 37 (59.7%) were with sequelae. The EEG in the initial stage of the disease (Wald’s coefficient = 12.8), followed by the age of the patients (Wald = 6.4), had the greatest influence on the prediction of sequela (p=0.0001). For each additional degree of verified pathological changes in the EEG, the risk of sequelae was increased by 5 degrees (OR = 5.3), respectively. There was no statistically significant association between changes in cerebrospinal fluid (CSF) findings, meningeal symptoms, and signs with sequelae development. Conclusion: Younger age, as well as severe clinical status of a patient, which implies a disorder of consciousness and seizures on admission, are associated with irreversible consequences on a previously mentally healthy individual. Pathological changes (Delta and Theta waves, spike slow complex wave) on the EEG finding significantly predicted presence of sequelae. .

Abstract Background In head and neck cancers, the number of intra-tumoral lymphocytes associates with improved survival. The impact of the exact cellular composition and localization of these lymphocytes, however, is less well studied. In the current study, we assessed the prognostic values of density, localization and cellular networks of defined lymphocyte populations in early-stage oral tongue cancer. Methods Patient with T1-T2, primary oral tongue squamous cell carcinoma and treated with surgical resections and without any peri-operative (chemo) radiotherapy were included in a discovery cohort (n = 47). Multiplexed in-situ immunofluorescent staining was performed using FFPE sections for CD4, CD8, CD20, pan-cytokeratin and cellular nuclei (DAPI); and spatial distributions of 3 lymphocyte populations were assessed in the tumour and stromal compartments, both at the invasive margin (IM) and the center of tumours (CT). Using algorithm-based pathology and nearest neighbor analysis (NNA), we have computed cellular densities and networks for lymphocytes and related these immune parameters to overall survival (OS). Findings were validated using another cohort of patients with identical clinical characteristics (n = 91). Results In our discovery cohort, we observed a high stromal density of CD20-positive B cells at IM but not CT, which correlated with OS (p = 0.005, HR 0.225). NNA demonstrated that survival benefit particularly related to the number of CD20 cells in the vicinity of CD4 cells and the frequency of B cells touching each other. The prognostic value of B cell-rich areas was validated in a second cohort, but only for those patients with low stromal densities of CD4 T cells (in accordance to discovery cohort, p = 0.007, HR = 0.275). Conclusion Our study highlights the prognosis of B cell-rich areas in early-stage oral-tongue cancer patients, particularly in the context of low intra-tumoral CD4 T cell densities. Legal entity responsible for the study The authors. Funding Erasmus MC, Rotterdam, the Netherlands and HRH Princess Chulabhorn College of Medical Science, Bangkok, Thailand. Disclosure All authors have declared no conflicts of interest.

To deliver on the 2030 Agenda and the seventeen development goals, while facing complex health challenges, we need research and education that extend across multiple scientific fields. This will enable researchers from a variety of disciplines to meet, identify research issues, apply for funding, and conduct interdisciplinary research. In addition, student involvement is key in achieving the 2030 Agenda’s global goals – and beyond. Challenges include, climate change and child health, non-peaceful societies, gender inequalities and health. The Swedish Institute for Global Health Transformation (SIGHT) was founded in 2017 at the Royal Swedish Academy of Sciences with the support of the Bill & Melinda Gates Foundation. SIGHT’s mission is to promote an interdisciplinary approach in research and education in the field of global health. In order to deliver on the commitment to global health among researchers and students in various scientific fields and at universities and colleges across Sweden, SIGHT has established SIGHT Fellows, a mentoring programme for academic researchers. In collaboration with universities, established research institutions, and other stakeholders, SIGHT Student Network holds dynamic meetings for students from a variety of disciplines and universities to contribute to delivering the UN’s sustainability goals.

Abstract The main purpose of the paper is to address the effects of digital transformation in the telecommunications markets which are characterized by network externalities. By acknowledging disruptive effects of digital transformation age, the paper highlights challenges which were created by advancement of technological capabilities. The specific aim of the paper is to present a methodological framework for measuring the information society. The research will be based on an analysis of the number of subscribers by types of telecommunication services, in developed and developing countries, in the last two decades. In this regard, increasing the number of subscribers leads to higher value of the selected network. We expect confirmation of both hypotheses respectively (H1: Digital transformation affects the simultaneously continuous growth of the number of subscribers and the continuous decline in prices of telecommunication services; H2: There are similar trends in developed and developing countries, which are related to the number of the telecommunication services subscribers). Therefore, digital transformation and the effect of network externalities contribute to increasing the number of subscribers, reducing the number of networks (distortion of the market competition) and reducing the prices of telecommunication services.

BackgroundGlobal mental health is a widely used term describing initiatives in policies, research and practice to improve the mental health of people worldwide. It has been gaining momentum over the last 10 years, reflected in increasing funding opportunities, training programmes, and publications. In light of the rising importance of global mental health and the various uncertainties about its future directions, this paper explores what the future may hold for global mental health in 30 years’ time.MethodA scenario planning method was used, involving a workshop with experts from four continents and a range of backgrounds, including clinical and academic psychiatry, psychology, art and music therapy, service user advisory role, funder of global health research and post-graduate students.ResultsSix distinct scenarios that describe potential future situations were developed: universal standards for care; worldwide coordination of research; making use of diversity; focus on social factors; globalised care through technology; mental health as a currency in global politics.ConclusionsThese scenarios consider different social, economic, scientific and technological drivers and focus on distinct aspects. Some reflect a global application of possible trends in mental health, whilst others apply general global developments to mental health care. They are not fixed forecasts, but instead may help to promote discussion and debate about further developments and decisions.