Despite its tremendous potential, it is still unclear how quantum computing will scale to satisfy the requirements of its most powerful applications. Among other issues, there are hard limits to the number of qubits that can be integrated into a single chip. Multicore architectures are a firm candidate for unlocking the scalability of quantum processors. Nonetheless, the vulnerability and complexity of quantum communications make this a challenging approach. A comprehensive design should imply consolidating the communications stack in the quantum computer architecture. In this article, we explain how this vision, by entangling communications and computation in the core of the design, may help to solve the open challenges. We also summarize the first results of our application of structured design methodologies backing this vision. With our work, we hope to contribute with design guidelines that may help unleash the potential of quantum computing.

BACKGROUND Gestational diabetes mellitus (GDM) is the most common metabolic disorder in pregnancy. Pregnancies with GDM have worse outcomes compared to pregnancies with normal glucose tolerance. The objectives of the study were to determine the prevalence of GDM and perinatal outcomes according to the old WHO criteria and IADPSG criteria. SUBJECTS AND METHODS A retrospective study included 2,405 pregnant women who delivered between January 2009 and December 2010. According to the OGTT results, pregnant women were divided into 4 groups. We analyzed the prevalence of GDM, characteristics of pregnant women and their newborns and perinatal outcomes. RESULTS We found significantly higher prevalence of GDM according to the IADPSG criteria compared to the WHO criteria. Pregnant women with GDM were significantly older, had higher pre-pregnancy BMI, fasting and 2-h plasma glucose. Pregnant women with GDM had worse pregnancy outcomes compared to control group. The overall proportion of overweight and obese pregnant women was the highest in the group of untreated pregnant women with GDM according to the IADPSG criteria. In this group we found significantly higher rate of fetal macrosomia and LGA. The rate of caesarean section was significantly higher in comparison to control group. Pre-eclampsia was significantly more common in groups of pregnant women with GDM compared to control group. CONCLUSION IADPSG diagnostic criteria reveals more women with hyperglycemic disorders in pregnancy. A group of pregnant women who were normoglycemic according to the WHO criteria, but according to the IADPSG were diagnosed GDM, had adverse pregnancy outcomes. Lower values of glycemia, than those defined for diabetes in pregnancy, are associated with adverse pregnancy outcomes.

The inception of artificial intelligence (AI) dates back to the 1950s, with the latest wave of AI featuring unprecedented “machine learning” capabilities, including “deep learning.” With these increased capacities, AI is disrupting society in both beneficial and disempowering ways, exemplified in medical and scientific advances and enabling oppressive surveillance [1]. The rate of adoption and potential of this wave of AI are novel, as are the socio-technical problems developing with emerging technologies powered by AI.

Background: The aim of this study was to identify the risk factors associated with falling in post stroke patients. Methods: This retrospective case-control study included 561 neurology patients hospitalized for a stroke and divided into two groups: falling patients and non-falling patients. They referred to the Special Hospital for Cerebrovascular Diseases “Sveti Sava” in Belgrade, Serbia, from 2018–2019. Logistic regression analysis was applied to examine socio-economic factors associated with predictors of unmet healthcare needs. Results: A significant difference was seen in the length of hospitalization of falling patients compared to the non-falling (P<0.001). We established statistically significant differences in mental status (P<0.001), sensibility (P=0.016), depressed mood (P<0.001), early (P=0.001) and medium insomnia (P=0.042), psychomotor slowness (P=0.030), somatic anxiety (P=0.044) and memory (P<0.001). Conclusion: Cerebrovascular disease distribution and the degree of neurological deficit primarily altered mental status, which could be recognized as one of the more important predictors for falling after stroke. The identification of risk factors may be a first step toward the design of intervention programs for preventing a future fall among hospitalized stroke patients.

Gender inequalities could lead to grave human and economic consequences, especially amid global health crises of the coronavirus 2019′s (COVID-19) scale. The COVID-19 pandemic exacerbated gender inequalities women face and introduced new challenges that are unprecedented to society at large. Adverse effects of COVID-19, compounded by unintended consequences caused by public health policies such as lockdowns (e.g., delayed or canceled health services), have forced women to face issues ranging from COVID-19 infections and deaths, prolonged unemployment, to unparalleled scale and severity of domestic violence. However, though women face a canopy of debilitating challenges, there is a shortage of research that examines health solutions that can mitigate, if not offset, challenges women experience amid COVID-19. In this paper, we aim to shed light on why timely solutions are needed to mitigate gender inequalities and health disparities women face amid COVID-19 promptly. Furthermore, we underscore the imperative for cost-effective interventions that could shed light on the current health crisis and future pandemics.

Highlights • The overall severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) secondary attack rate in this study was 17%.• Adults were more likely to be secondary cases than children.• Particular care should be taken if primary cases present with cough and rhinorrhoea.• Kissing a SARS-CoV-2 case or sharing a meal with a SARS-CoV-2 case increased the risk of infection.• Reducing contact in the household immediately is key to prevent onward transmission.

Legacy landmines in post-conflict areas are a non-discriminatory lethal hazard and can still be triggered decades after the conflict has ended. Efforts to detect these explosive devices are expensive, time-consuming, and dangerous to humans and animals involved. While methods such as metal detectors and sniffer dogs have successfully been used in humanitarian demining, more tools are required for both site surveying and accurate mine detection. Honeybees have emerged in recent years as efficient bioaccumulation and biomonitoring animals. The system reported here uses two complementary landmine detection methods: passive sampling and active search. Passive sampling aims to confirm the presence of explosive materials in a mine-suspected area by the analysis of explosive material brought back to the colony on honeybee bodies returning from foraging trips. Analysis is performed by light-emitting chemical sensors detecting explosives thermally desorbed from a preconcentrator strip. The active search is intended to be able to pinpoint the place where individual landmines are most likely to be present. Used together, both methods are anticipated to be useful in an end-to-end process for area surveying, suspected hazardous area reduction, and post-clearing internal and external quality control in humanitarian demining.

Background: Dental documentation which includes main information about a patient and dental treatment provided is a very important asset of each dental office. Objective: This research aims to analyze the way of fulfilling and keeping mandatory dental records and periodic reporting forms by doctors of dental medicine in the Federation of Bosnia and Herzegovina (FB&H). Methods: The study was observational with a cross-sectional design using a questionnaire as a study tool. The questionnaire was distributed electronically to the participants working in public health care facilities and private practice. Results: A total of 426 Doctors of Dental Medicine (DDM) participated in the study, of whom 58.7% of respondents were employed in dental offices in the public health sector and 41.3% in dental offices in the private health sector. Dental records are filled out only manually by 53.5% of respondents, while 9.4% fill out the records only electronically, while 37.1% of respondents fill out records both manually and electronically. The manner of keeping dental documentation between respondents employed in dental offices in the public health sector and dental offices in the private health sector differs significantly (p<0.05). Almost all respondents understand the purpose and significance of keeping dental records. Conclusion: This paper points out that good dental records are of great importance as they allow monitoring the quality of services provided to patients for a longer period.

BACKGROUND: Posttraumatic stress disorder (PTSD) is heritable and a potential consequence of exposure to traumatic stress. Evidence suggests that a quantitative approach to PTSD phenotype measurement and incorporation of lifetime trauma exposure (LTE) information could enhance the discovery power of PTSD genome-wide association studies (GWASs). METHODS: A GWAS on PTSD symptoms was performed in 51 cohorts followed by a fixed-effects meta-analysis (N = 182,199 European ancestry participants). A GWAS of LTE burden was performed in the UK Biobank cohort (N = 132,988). Genetic correlations were evaluated with linkage disequilibrium score regression. Multivariate analysis was performed using Multi-Trait Analysis of GWAS. Functional mapping and annotation of leading loci was performed with FUMA. Replication was evaluated using the Million Veteran Program GWAS of PTSD total symptoms. RESULTS: GWASs of PTSD symptoms and LTE burden identified 5 and 6 independent genome-wide significant loci, respectively. There was a 72% genetic correlation between PTSD and LTE. PTSD and LTE showed largely similar patterns of genetic correlation with other traits, albeit with some distinctions. Adjusting PTSD for LTE reduced PTSD heritability by 31%. Multivariate analysis of PTSD and LTE increased the effective sample size of the PTSD GWAS by 20% and identified 4 additional loci. Four of these 9 PTSD loci were independently replicated in the Million Veteran Program. CONCLUSIONS: Through using a quantitative trait measure of PTSD, we identified novel risk loci not previously identified using prior case-control analyses. PTSD and LTE have a high genetic overlap that can be leveraged to increase discovery power through multivariate methods.

Mucopolysaccharidoses (MPSs) are known as rare genetic diseases which are caused by mutation in the enzyme heparin sulfate, which normally leads to degradation and accumulation of glycosaminoglycans in the cells. There are 11 types of MPSs, whereby neuropathy may occur in seven of them (MPS I, II, IIIA, IIIB, IIIC, IIID and VII). Accumulation of degraded heparin sulfate in lysosomes causes cellular dysfunction and malfunction of several organs. However, the exact molecular mechanism how protein degradation and storage leads to cellular dysfunction is not understood, yet. Nonetheless, several genetic and biochemical methods for diagnosis of MPSs are available nowadays. Here we provide an overview on known molecular basis of MPS in general, including enzyme defects and symptoms of MPS; however, the main focus is on MPS type III together with potential and perspective therapy-options.

Face masks help to limit transmission of infectious diseases entering through the nose and mouth. Beyond reprocessing and decontamination, antimicrobial treatments could extend the lifetime of face masks whilst also further reducing the chance of disease transmission. Here, we review the efficacy of treatments pertaining antimicrobial properties to medical face masks, filtering facepiece respirators and non-medical face masks. Searching databases identified 2113 studies after de-duplication. A total of 17 relevant studies were included in the qualitative synthesis. Risk of bias was found to be moderate or low in all cases. Sixteen articles demonstrated success in avoiding proliferation (if not elimination) of viruses and/or bacteria. In terms of methodology, no two articles employed identical approaches to efficacy testing. Our findings highlight that antimicrobial treatment is a promising route to extending the life and improving the safety of face masks. In order to reach significant achievements, shared and precise methodology and reporting is needed.