In 2015 Florian Bieber gave a talk at the London School of Economics, sharing advice for an unnamed Balkan prince on how to remain in power while staying committed to democracy. It was both a refle...

Quantum algorithms can be expressed as quantum circuits when the circuit model of computation is adopted. Such a circuit description is usually hardware-agnostic, that is, it does not consider the limitations that the quantum hardware might have. In order to make quantum algorithms executable on quantum devices they need to comply to their constraints, which mainly affect the parallelism of quantum operations and the possible interactions between the qubits. The process of adapting a quantum circuit to meet the quantum chip restrictions is known as mapping. The resulting circuit usually has a higher number of gates and depth, decreasing the algorithm's reliability. Different mapping solutions have been already proposed. Most of them are meant for a specific quantum processor and differ in methodology, approach and features. In addition, they are usually only compared in terms of added gates, circuit depth and compilation time. No thorough comparative analysis of the different mapping solutions performance and features has been performed so far.In this paper, we propose to apply structured design space exploration (DSE) methodologies to the mapping procedures. This will allow not only to have a more in depth and structured analysis of their performance but also to identify what features are key and worth to implement. By using DSE we will be able to: i) determine in what regimes some mapping solutions outperform others; ii) derive optimal mapping strategies for specific quantum algorithms and quantum processors; and iii) perform an scalability analysis. In addition, DSE techniques cannot only be applied to the mapping layer that is key for bridging quantum applications to quantum devices, but also to the full-stack quantum computing system allowing for its crosslayer co-design.

Introduction: Overcrowded emergency departments (ED) and undifferentiated patients make the provision of care and resources challenging. We examined whether machine learning algorithms could identi...

BACKGROUND Isolated iliac artery aneurysms are rare and occur predominantly in men at an older age. Such aneurysms can rupture into an adjacent organ (such as the bowel, bladder or ureter) or into the adjacent common iliac vein, resulting in an arteriovenous fistula. INTRODUCTION Formation of an internal iliac arteriovenous fistula caused by spontaneous rupture of an atherosclerotic iliac artery aneurysm wall is an exceedingly rare yet serious complication. Methods / Results: This article presents a case of an internal iliac arteriovenous fistula caused by rupture of an atherosclerotic giant iliac artery aneurysm. CONCLUSION Rapid diagnosis and meticulous surgical technique improve outcomes in patients with this rare vascular complication.

Software development requires understanding of users, user needs, user tasks and context in which they are operating. These skills are familiar to entrepreneurs, product managers, and marketing experts. However, our teaching experience suggests that students generally find these topics less attractive as they perceive them to be far too theoretical and thus, not as useful. During the years of teaching the Human Computer Interaction course we have noticed students' preferences for learning technology oriented methods, or what we refer to topics belonging to solution domain. The changes in the modernized HCI course introduced Product Market Fit canvas in order to bridge the gap between 'theoretical' and 'practical' part of the course.

Neuroendocrine carcinoma of the cervix (NEC) is a rare and highly aggressive cervical malignancy. Given that no targeted therapy has been approved specifically to NEC, we investigated the presence of novel, potentially targetable biomarkers in a large cohort of NEC. Sixty-two NEC were molecularly profiled for biomarkers of targeted therapies including antibody-drug conjugates [delta-like canonical notch ligand 3 (DLL3), a trophoblast cell surface antigen 2 (TROP-2), and folate receptor 1 (FOLR1)], NTRK1-3 gene fusions, and immune checkpoint inhibitors [programmed death-ligand 1 (PD-L1), tumor mutational burden, and microsatellite instability] using immunohistochemistry and DNA/RNA next-generation sequencing assays. A cohort of squamous cell carcinomas of the cervix (n=599) was used for comparison for immune-oncology biomarkers. DLL3 expression was observed in 81% of the cases. DLL3 expression was inversely correlated with commonly observed pathogenic mutations in PIK3CA (17%) (P=0.018) and PTEN (10%) (P=0.006). Other more frequently seen pathogenic mutations (TP53 17%, KRAS 11%, and CTNNB1 5%) were not associated with DLL3 expression. TROP-2 expression was detected in only 1 case and no case expressed FOLR1. Although NTRK protein expression was observed in 21% of the cases, none of these had an NTRK gene fusion. PD-L1 expression (10%) and high tumor mutational burden (3%) were significantly less frequent in NEC compared with the squamous cell carcinoma cohort (79% and 11%, respectively). None of the NEC exhibited high microsatellite instability status. Despite frequent DLL3 expression in NEC, a potential therapeutic benefit of DLL3-targeted drugs remains uncertain given the recent failure of the Rova-T therapeutic trial in small cell lung carcinomas. Small cohorts of NEC enriched in PIK3CA/PTEN/AKT and programmed cell death protein 1/PD-L1 alterations indicate therapeutic roles for their respective inhibitors.

ABSTRACT Research on the effect of school uniforms on school attendance in low income countries is scarce. Building on a meta-analysis of the available literature, this paper analyses primary survey data collected (n = 462) in Mongolia on students’ perceptions of school uniforms. The findings reveal that it is not only the cost of uniforms that matters, but also poor students’ feelings of exclusion when the majority of students in a school wear uniforms. The poor drop out from school when their symbolic association with the majority is visibly broken through their inability to afford and wear school uniforms. The study suggests that school uniform policies in low income countries are fraught with complications. Instead of creating cohesion, such policies are more likely to affect poor students’ negative perceptions of themselves and play a strong role in dropout rates.

Mammograms contain information that predicts breast cancer risk. We developed two novel mammogram‐based breast cancer risk measures based on image brightness (Cirrocumulus) and texture (Cirrus). Their risk prediction when fitted together, and with an established measure of conventional mammographic density (Cumulus), is not known. We used three studies consisting of: 168 interval cases and 498 matched controls; 422 screen‐detected cases and 1197 matched controls; and 354 younger‐diagnosis cases and 944 controls frequency‐matched for age at mammogram. We conducted conditional and unconditional logistic regression analyses of individually‐ and frequency‐matched studies, respectively. We estimated measure‐specific risk gradients as the change in odds per standard deviation of controls after adjusting for age and body mass index (OPERA) and calculated the area under the receiver operating characteristic curve (AUC). For interval, screen‐detected and younger‐diagnosis cancer risks, the best fitting models (OPERAs [95% confidence intervals]) involved: Cumulus (1.81 [1.41‐2.31]) and Cirrus (1.72 [1.38‐2.14]); Cirrus (1.49 [1.32‐1.67]) and Cirrocumulus (1.16 [1.03 to 1.31]); and Cirrus (1.70 [1.48 to 1.94]) and Cirrocumulus (1.46 [1.27‐1.68]), respectively. The AUCs were: 0.73 [0.68‐0.77], 0.63 [0.60‐0.66], and 0.72 [0.69‐0.75], respectively. Combined, our new mammogram‐based measures have twice the risk gradient for screen‐detected and younger‐diagnosis breast cancer (P ≤ 10−12), have at least the same discriminatory power as the current polygenic risk score, and are more correlated with causal factors than conventional mammographic density. Discovering more information about breast cancer risk from mammograms could help enable risk‐based personalised breast screening.

5G has opened up possibilities of introducing new use cases and business models that could not be perceived before. In the context of public safety, 5G offers immense opportunities towards enhancing mission success and situation awareness during emergency management. This paper introduces Back-Situation Awareness (BSA) application enabling early warning/notification to vehicles of an approaching emergency vehicle indicating its presence and the time it will arrive. Such an application is expected to give drivers enough time to create a safety corridor for the emergency vehicle to pass through safely and unhindered. We provide details on the system and application design of the BSA application leveraging Multi-Access Edge Computing (MEC) systems that complement the 5G mobile communication system. An evaluation of the application is provided by using data measurements and indicating the accuracy of the computation and notification of the Estimated Time of Arrival (ETA) based on the ETSI C-ITS protocol messages.

Abstract This article examines the social and political effects produced by the most recent wave of emigration in postwar Bosnia, widely understood to be the result of continued political instability and economic decline that followed the 1992–95 war. Drawing on ethnographic research in a deindustrialized Bosnian town and analysis of popular discourses seeking to make sense of this new wave of departures, I show how the phenomenon of postwar exit impacts those staying behind and inspires new forms of reflection that link past histories of violence to more recent forms of dispossession. The emergence of such forms of historical consciousness reveals that postwar migration is haunted both by the memory of wartime expulsions and ethnic cleansing, as well as by the often-unacknowledged violence of postwar economic restructuring glossed as the postsocialist transition. In asking what happens to nationalist regimes, as well as scholarship on nationalist politics, when the “people” leave, I demonstrate the need to analyze the ongoing out-migration both in terms of Bosnia’s historical specificity and global political-economic dynamics. In so doing, I show how absences created by these departures create new vantage points that bring to light and expose unsettling political configurations left behind by the Bosnian war.

Introduction: Postpartum depression is considered a public health problem with high prevalence and very underdiagnosed. Methods: In this context, the present research has the general objective of identifying the risk factors of postpartum depression through a literature review integrative. The articles were searched in the Scientific Electronic Library Online Scielo databases and in the LILACS Latin American and Caribbean Literature in Health Sciences database. The selected articles were chosen according to the following criteria: to be available in full, to answer the research question, to have a publication date of the last 5 years. After a complete reading of the works, 08 remained for analysis. Results: The analysis of the results showed that the most cited risk factors for postpartum depression in the literature of the last 5 (five) years were: lack of family or partner support, unplanned pregnancy, family or personal history of psychiatric illness and low education and being younger. Conclusion: The research concludes that social and emotional factors have more influence on the prevalence of postpartum depression than economic factors. There is a need for further studies on the clinical aspects of postpartum depression.

The search for effective coronavirus disease (COVID-19) therapy has attracted a great deal of scientific interest due to its unprecedented health care system overload worldwide. We have carried out a study to investigate the in silico effects of the most abundant pomegranate peel extract constituents on the multi-step process of serious acute respiratory syndrome coronavirus 2 (SARS-CoV-2) internalization in the host cells. Binding affinities and interactions of ellagic acid, gallic acid, punicalagin and punicalin were studied on four selected protein targets with a significant and confirmed role in the process of the entry of virus into a host cell. The protein targets used in this study were: SARS-CoV-2 spike glycoprotein, angiotensin-converting enzyme 2, furin and transmembrane serine protease 2. The results showed that the constituents of pomegranate peel extracts, namely punicalagin and punicalin had very promising potential for significant interactions with the selected protein targets and were therefore deemed good candidates for further in vitro and in vivo evaluation.