Automatic code generation from UML diagrams: the state-of-the-art

The emergence of the Unified Modeling Language (UML) as the de-facto standard for modeling software systems has encouraged the development of automated software tools that facilitate automatic code generation. UML diagrams are used to diagrammatically model and specify the static structure as well as the dynamic behavior of object-oriented systems and the software tools then go ahead and automatically produce code from the given diagrams. In the last two decades substantial work has been done in this area of automatic code generation. This paper is aimed at identifying and classifying this work pertaining to automatic code generation from UML diagrams, restricting the search neither to a specific context nor to a particular programming language. A Systematic literature review (SLR) using the keywords “automatic code generation”, “MDE”, “code generation” and “UML” is used to identify 40 research papers published during the years 2000–2016 which are broadly classified into three groups: Approaches, Frameworks and Tools. For each paper, an analysis is made of the achievements and the gaps, the UML diagrams used the programming languages and the platform. This analysis helps to answer the main questions that the paper addresses including what techniques or implementation methods have been used for automatic code generation from UML Diagrams, what are the achievements and gaps in the field of automatic code generation from UML diagrams, which UML diagram is most used for automatic code generation from UML diagrams, which programming language source code is mostly automatically generated from the design models and which is the most used target platform? The answers provided in this paper will assist researchers, practitioners and developers to know the current state-of-the-art in automatic code generation from UML diagrams.Keywords: Automatic Code Generation (ACG); Unified Modeling Language (UML); Model Driven Engineering (MDE

Central poststroke pain : its profile among stroke survivors in Kano, Nigeria

Background. Central poststroke pain (CPSP) caused by sensory dysfunction of central origin is a disabling condition that significantly affects the quality of life of stroke patients. Aim. The aim of this study is to determine the clinical profiles and pattern of CPSP among stroke patients in Kano, Nigeria. Methods. The study was a cross-sectional design involving stroke survivors who were >= 18 years old and with no significant cognitive impairment approved by the Research Ethics Committee of Aminu Kano Teaching Hospital. Participants were assessed using diagnostic criteria form, the douleur neuropathique 4 questions (DN4 questionnaire), and Leeds assessment of neuropathic symptoms and signs (LANNS). Results. A total of 120 stroke patients participated in the study, in which 6 (5%) were diagnosed with CPSP occurring within the first 3 months in 50% of the participants. The pain characteristics were mainly moderate (83.3%), burning (62.5%), and continuously experienced (66.7%). The frequently affected parts were extremities or occurring as hemisyndrome. Conclusion. Prevalence of CPSP following stroke is low. The clinical features are variable and can occur at a varied time and different intensities and locations. However, it majorly occurs within the first few months post stroke

Assessment of Construction Practitioners’ Knowledge Sharing Attitude in Construction Projects in Nigeria

Individuals such as construction practitioners (CPs) are the focal point of knowledge sharing (KS). KS plays a cardinal role in knowledge management (KM). It is recognised as one of the most crucial aspect of KM which leads to better performance of organisations and construction projects. Literature has shown that KS success is largely driven by individual level variables such as attitude. Studies on KS largely neglect the individual level variables, e.g. perception, motivation and attitude. Hence, there is a lack of knowledge on the influence of the determinants of attitude on construction practitioners’ (CPs’) KS attitude. Therefore, this study aimed at assessing the influence of the determinants of attitude on CPs\u27 KS attitude in construction projects with a view to improving knowledge sharing among CPs. The determinants of KS attitude and their components were identified from literature and were used to conduct a survey to assess the CPs\u27 KS attitude. Quantitative method was adopted for this research and the data were collected using structured questionnaire administered to 174 Construction practitioners using Stratified Random Sampling. Data were analysed using Structural Equation Modelling. The study identified six determinants of KS attitude with four independent (perceiver, target, intensity and persistence) and two dependents (cognitive and affective). It was found out that the CPs perceiver, target, intensity and persistence as determinants of KS has influence on KS attitude. The study also found a high significant influence between measures of CPs’ motivation (intensity & persistence) KS attitude compared to measures of their perception (perceiver & target) and the strongest influence is between CPs intensity and their cognitive. The study concludes that CP’s as the perceivers and KS as what is been perceived (target) do not affect CPs  knowledge sharing attitude, instead intensity and persistence (motivation) does. This study recommends that CPs should be educated about their perception of KS. The study  recommends that construction practitioners level of motivation should be increased because motivation is what derives them to share knowledge rather than perception

Views and experiences of discharged COVID-19 patients in Kano, Nigeria : a qualitative study

Introduction: COVID-19 has spread globally, thereby contributing to substantial hospitalisation rates and morbidity. However, little or no information is available on the experiences of patients with COVID-19 in an African-setting. The study aimed to explore the experiences of patients with COVID-19. Methods: semi-structured interviews were conducted via telephone with eleven individuals who were managed and discharged due to COVID-19. A descriptive phenomenological approach to qualitative research was employed and participants were mainly asked about their experiences before, during and after hospitalisation for COVID-19. Data were analysed using thematic analysis. Results: patients' viewpoints were suggestive of community and secondary transmission of COIVD-19 in the study area. A few participants experienced severe symptoms. Most participants tend to resign their condition to fate; while some displayed unfounded conspiracy theories. Nevertheless, precautionary measures to prevent infection were largely observed. COVID-19 also negatively affected activities of daily living of the participants. Furthermore, the participants were generally satisfied with quality of care provided. However, areas of patients' education, isolation centre set-up and caregiver-patient interaction needed further improvements. Lastly, experience of fear and stigma during post-hospitalisation were common. Conclusion: COVID-19 impacted negatively on the lives of the studied population. However, their experience during hospitalisation was generally positive

Comparative effects of organic manure sources and rates on performance of groundnut varieties

An experiment was conducted at the Teaching and Research farm of the Institute for Agricultural Research, Ahmadu Bello University Zaria. The aim was to study effects of different organic manure sources on performance of groundnut varieties. Treatment consisted of three organic manure source, (Poultry manure, (PM) cow dung (CD) and household waste (HW) each at two levels (1 ton and 2 tons), two varieties of groundnut SAMNUT 21 (V1) and SAMNUT 23 (V2) and a control. The treatments were factorially combined and assigned in a randomized complete block design and replicated three times. Growth data such as plant height, canopy spread and biomass weight and; yield data including, pod yield per plant, seed yield per plant, 100 seed weight were collected

Role of MicroRNA in Endometrial Carcinoma

Endometrial carcinoma (EC) is a hall mark of gynecological malignancies that usually affects women above the age 50. It is one of the major causes of mortality in females with ever increasing prevalence and the mortality rate is 1.7 to 2.4 per 100000 and each year 10000 death occur due to ECs. MiRNAs regulate the expression of different proto-oncogenes and signaling pathways that are directly or indirectly involved in the development of cancer. Different miRNAs i.e. (miRNA-449, miRNA 370, miRNA-424, and miRNA-152) which gets up or down regulated during endometrial cancer are the potential biomarkers for early diagnosis of EC. Targeting this relationship between the miRNA and signaling pathways may help in the development of new treatment in endometrial cancer. In current study, we reviewed literature from PubMed using miRNA and endometrial cancer as keywords and outlined the synthesis of potent miRNA and role of different miRNAs involved in ECs. The study revealed different sub types of miRNA played crucial role in the development of cancer by up and down regulation of different metabolic pathways. Many evidences have supported that miRNAs play role in control and regulation of different pathways leading to cancer and targeting these pathways may bring changes in the diagnosis as well as in treatment of EC

Health research prioritization in Somalia: setting the agenda for context specific knowledge to advance universal health coverage

IntroductionDespite recognition that health research is an imperative to progress toward universal health coverage, resources for health research are limited. Yet, especially in sub-Saharan Africa, more than 85% of the resources available for health research are spent on answering less relevant research questions. This misalignment is partially due to absence of locally determined health research priorities. In this study, we identified health research priorities which, if implemented, can inform local interventions required to accelerate progress toward universal health coverage in Somalia.MethodsWe adapted the child health and nutrition research initiative method for research priority setting and applied it in 4 major phases: (1) establishment of an exercise management team, (2) a web-based survey among 84 respondents to identify health research questions; (3) categorization of identified health research questions; and (4) a workshop with 42 participants to score and rank the identified health research questions. Ethical approval was received from ethics review committee of the London School of Hygiene and Tropical Medicine (Ref:26524) and the Somali Research and Development Institute (Ref: EA0143).ResultsTwo hundred and thirty-one unique health research questions were identified and categorized under health systems, services and social determinants (77), communicable diseases (54), non-communicable diseases (41) and reproductive, maternal, new-born, child, adolescent health and nutrition (59). A priority score ranging from 1 to 9 was assigned to each of the questions. For each category, a list of 10 questions with the highest priority scores was developed. Across the four categories, an overall list of 10 questions with the highest priority scores was also developed. These related to bottlenecks to accessing essential health services, use of evidence in decision making, antimicrobial resistance, distribution and risk factors for non-communicable diseases, post-traumatic stress disorder and factors associated with low antenatal care attendance among others.Conclusion and recommendationsThe developed priority research questions can be used to focus health research and to inform appropriation of health research resources to questions that contribute to generation of local health system knowledge which is required to accelerate progress toward universal health coverage in Somalia. The Somalia national institute of health should set up a consortium for provision of technical and financial support for research addressing the identified priority research questions, establish a mechanism to continuously monitor the extent to which new health interventions in Somalia are informed by knowledge generated through conducting prioritized health research and prioritize interventions aimed at strengthening the broader national health research system for Somalia

Global phylogeography and ancient evolution of the widespread human gut virus crAssphage

Microbiomes are vast communities of microorganisms and viruses that populate all natural ecosystems. Viruses have been considered to be the most variable component of microbiomes, as supported by virome surveys and examples of high genomic mosaicism. However, recent evidence suggests that the human gut virome is remarkably stable compared with that of other environments. Here, we investigate the origin, evolution and epidemiology of crAssphage, a widespread human gut virus. Through a global collaboration, we obtained DNA sequences of crAssphage from more than one-third of the world's countries and showed that the phylogeography of crAssphage is locally clustered within countries, cities and individuals. We also found fully colinear crAssphage-like genomes in both Old-World and New-World primates, suggesting that the association of crAssphage with primates may be millions of years old. Finally, by exploiting a large cohort of more than 1,000 individuals, we tested whether crAssphage is associated with bacterial taxonomic groups of the gut microbiome, diverse human health parameters and a wide range of dietary factors. We identified strong correlations with different clades of bacteria that are related to Bacteroidetes and weak associations with several diet categories, but no significant association with health or disease. We conclude that crAssphage is a benign cosmopolitan virus that may have coevolved with the human lineage and is an integral part of the normal human gut virome

Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021

Background: Estimates of demographic metrics are crucial to assess levels and trends of population health outcomes. The profound impact of the COVID-19 pandemic on populations worldwide has underscored the need for timely estimates to understand this unprecedented event within the context of long-term population health trends. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 provides new demographic estimates for 204 countries and territories and 811 additional subnational locations from 1950 to 2021, with a particular emphasis on changes in mortality and life expectancy that occurred during the 2020–21 COVID-19 pandemic period. Methods: 22 223 data sources from vital registration, sample registration, surveys, censuses, and other sources were used to estimate mortality, with a subset of these sources used exclusively to estimate excess mortality due to the COVID-19 pandemic. 2026 data sources were used for population estimation. Additional sources were used to estimate migration; the effects of the HIV epidemic; and demographic discontinuities due to conflicts, famines, natural disasters, and pandemics, which are used as inputs for estimating mortality and population. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate under-5 mortality rates, which synthesised 30 763 location-years of vital registration and sample registration data, 1365 surveys and censuses, and 80 other sources. ST-GPR was also used to estimate adult mortality (between ages 15 and 59 years) based on information from 31 642 location-years of vital registration and sample registration data, 355 surveys and censuses, and 24 other sources. Estimates of child and adult mortality rates were then used to generate life tables with a relational model life table system. For countries with large HIV epidemics, life tables were adjusted using independent estimates of HIV-specific mortality generated via an epidemiological analysis of HIV prevalence surveys, antenatal clinic serosurveillance, and other data sources. Excess mortality due to the COVID-19 pandemic in 2020 and 2021 was determined by subtracting observed all-cause mortality (adjusted for late registration and mortality anomalies) from the mortality expected in the absence of the pandemic. Expected mortality was calculated based on historical trends using an ensemble of models. In location-years where all-cause mortality data were unavailable, we estimated excess mortality rates using a regression model with covariates pertaining to the pandemic. Population size was computed using a Bayesian hierarchical cohort component model. Life expectancy was calculated using age-specific mortality rates and standard demographic methods. Uncertainty intervals (UIs) were calculated for every metric using the 25th and 975th ordered values from a 1000-draw posterior distribution. Findings: Global all-cause mortality followed two distinct patterns over the study period: age-standardised mortality rates declined between 1950 and 2019 (a 62·8% [95% UI 60·5–65·1] decline), and increased during the COVID-19 pandemic period (2020–21; 5·1% [0·9–9·6] increase). In contrast with the overall reverse in mortality trends during the pandemic period, child mortality continued to decline, with 4·66 million (3·98–5·50) global deaths in children younger than 5 years in 2021 compared with 5·21 million (4·50–6·01) in 2019. An estimated 131 million (126–137) people died globally from all causes in 2020 and 2021 combined, of which 15·9 million (14·7–17·2) were due to the COVID-19 pandemic (measured by excess mortality, which includes deaths directly due to SARS-CoV-2 infection and those indirectly due to other social, economic, or behavioural changes associated with the pandemic). Excess mortality rates exceeded 150 deaths per 100 000 population during at least one year of the pandemic in 80 countries and territories, whereas 20 nations had a negative excess mortality rate in 2020 or 2021, indicating that all-cause mortality in these countries was lower during the pandemic than expected based on historical trends. Between 1950 and 2021, global life expectancy at birth increased by 22·7 years (20·8–24·8), from 49·0 years (46·7–51·3) to 71·7 years (70·9–72·5). Global life expectancy at birth declined by 1·6 years (1·0–2·2) between 2019 and 2021, reversing historical trends. An increase in life expectancy was only observed in 32 (15·7%) of 204 countries and territories between 2019 and 2021. The global population reached 7·89 billion (7·67–8·13) people in 2021, by which time 56 of 204 countries and territories had peaked and subsequently populations have declined. The largest proportion of population growth between 2020 and 2021 was in sub-Saharan Africa (39·5% [28·4–52·7]) and south Asia (26·3% [9·0–44·7]). From 2000 to 2021, the ratio of the population aged 65 years and older to the population aged younger than 15 years increased in 188 (92·2%) of 204 nations. Interpretation: Global adult mortality rates markedly increased during the COVID-19 pandemic in 2020 and 2021, reversing past decreasing trends, while child mortality rates continued to decline, albeit more slowly than in earlier years. Although COVID-19 had a substantial impact on many demographic indicators during the first 2 years of the pandemic, overall global health progress over the 72 years evaluated has been profound, with considerable improvements in mortality and life expectancy. Additionally, we observed a deceleration of global population growth since 2017, despite steady or increasing growth in lower-income countries, combined with a continued global shift of population age structures towards older ages. These demographic changes will likely present future challenges to health systems, economies, and societies. The comprehensive demographic estimates reported here will enable researchers, policy makers, health practitioners, and other key stakeholders to better understand and address the profound changes that have occurred in the global health landscape following the first 2 years of the COVID-19 pandemic, and longer-term trends beyond the pandemic