Testing self-adaptive applications with simulation of context events

Modern trends in mobile computing have raised the expectations of users in terms of such features such as context-awareness and self-adaptiveness. With such capabilities, applications can autonomously sense their context and automate a number of tasks, effectively reducing the attention required by the end users. This paper presents a custom simulation engine, designed to support the testing of applications developed using the MUSIC platform. The simulation tool consists of a platform-independent server module, deployed along with the application, and a client module which is responsible for interpreting and executing the simulation script. The use of the tool is demonstrated in the scope of the SatMotion application, which is designed to assist satellite antenna installers with specialized functionality

European Union digital education framework : a quality standard to guide the design of healthcare apps

Digital Education Initiatives and Timely Solutions (DIG-IT) is an Erasmus+ project collaboration between university academics, clinical educators, industry partners, healthcare professionals, and technology experts over 5 European Union (EU) states. The objectives are to create digital educational capacity for academic faculty and mobile learning opportunities for continuing professional healthcare education. The first deliverable of this project was the innovative European Union Digital Education Quality Standards Framework and Toolkit or EU-DEF. This framework can be used to consider all principle and secondary aspects when designing, delivering, and evaluating digital education resources. In this article we explore the framework efficacy in collaboratively developing two open access, mobile healthcare apps, ECG Interpretation for Nurses and Nurse Leadership and Management. We describe the teamwork needed and steps taken during this process, and demonstrate the adaptability, usability, and value of this tool for other online development projects. The EU-DEF is an evidence-based, comprehensive framework that can be used as a starting point for individuals or teams when developing digital educational projects. Considering all variables helps focus the expertise required to produce robust end-products.peer-reviewe

Cabbage and fermented vegetables : From death rate heterogeneity in countries to candidates for mitigation strategies of severe COVID-19

Large differences in COVID-19 death rates exist between countries and between regions of the same country. Some very low death rate countries such as Eastern Asia, Central Europe, or the Balkans have a common feature of eating large quantities of fermented foods. Although biases exist when examining ecological studies, fermented vegetables or cabbage have been associated with low death rates in European countries. SARS-CoV-2 binds to its receptor, the angiotensin-converting enzyme 2 (ACE2). As a result of SARS-CoV-2 binding, ACE2 downregulation enhances the angiotensin II receptor type 1 (AT(1)R) axis associated with oxidative stress. This leads to insulin resistance as well as lung and endothelial damage, two severe outcomes of COVID-19. The nuclear factor (erythroid-derived 2)-like 2 (Nrf2) is the most potent antioxidant in humans and can block in particular the AT(1)R axis. Cabbage contains precursors of sulforaphane, the most active natural activator of Nrf2. Fermented vegetables contain many lactobacilli, which are also potent Nrf2 activators. Three examples are: kimchi in Korea, westernized foods, and the slum paradox. It is proposed that fermented cabbage is a proof-of-concept of dietary manipulations that may enhance Nrf2-associated antioxidant effects, helpful in mitigating COVID-19 severity.Peer reviewe

Nrf2-interacting nutrients and COVID-19 : time for research to develop adaptation strategies

There are large between- and within-country variations in COVID-19 death rates. Some very low death rate settings such as Eastern Asia, Central Europe, the Balkans and Africa have a common feature of eating large quantities of fermented foods whose intake is associated with the activation of the Nrf2 (Nuclear factor (erythroid-derived 2)-like 2) anti-oxidant transcription factor. There are many Nrf2-interacting nutrients (berberine, curcumin, epigallocatechin gallate, genistein, quercetin, resveratrol, sulforaphane) that all act similarly to reduce insulin resistance, endothelial damage, lung injury and cytokine storm. They also act on the same mechanisms (mTOR: Mammalian target of rapamycin, PPAR gamma:Peroxisome proliferator-activated receptor, NF kappa B: Nuclear factor kappa B, ERK: Extracellular signal-regulated kinases and eIF2 alpha:Elongation initiation factor 2 alpha). They may as a result be important in mitigating the severity of COVID-19, acting through the endoplasmic reticulum stress or ACE-Angiotensin-II-AT(1)R axis (AT(1)R) pathway. Many Nrf2-interacting nutrients are also interacting with TRPA1 and/or TRPV1. Interestingly, geographical areas with very low COVID-19 mortality are those with the lowest prevalence of obesity (Sub-Saharan Africa and Asia). It is tempting to propose that Nrf2-interacting foods and nutrients can re-balance insulin resistance and have a significant effect on COVID-19 severity. It is therefore possible that the intake of these foods may restore an optimal natural balance for the Nrf2 pathway and may be of interest in the mitigation of COVID-19 severity

The impact of surgical delay on resectability of colorectal cancer: An international prospective cohort study

AIM: The SARS-CoV-2 pandemic has provided a unique opportunity to explore the impact of surgical delays on cancer resectability. This study aimed to compare resectability for colorectal cancer patients undergoing delayed versus non-delayed surgery. METHODS: This was an international prospective cohort study of consecutive colorectal cancer patients with a decision for curative surgery (January-April 2020). Surgical delay was defined as an operation taking place more than 4 weeks after treatment decision, in a patient who did not receive neoadjuvant therapy. A subgroup analysis explored the effects of delay in elective patients only. The impact of longer delays was explored in a sensitivity analysis. The primary outcome was complete resection, defined as curative resection with an R0 margin. RESULTS: Overall, 5453 patients from 304 hospitals in 47 countries were included, of whom 6.6% (358/5453) did not receive their planned operation. Of the 4304 operated patients without neoadjuvant therapy, 40.5% (1744/4304) were delayed beyond 4 weeks. Delayed patients were more likely to be older, men, more comorbid, have higher body mass index and have rectal cancer and early stage disease. Delayed patients had higher unadjusted rates of complete resection (93.7% vs. 91.9%, P = 0.032) and lower rates of emergency surgery (4.5% vs. 22.5%, P < 0.001). After adjustment, delay was not associated with a lower rate of complete resection (OR 1.18, 95% CI 0.90-1.55, P = 0.224), which was consistent in elective patients only (OR 0.94, 95% CI 0.69-1.27, P = 0.672). Longer delays were not associated with poorer outcomes. CONCLUSION: One in 15 colorectal cancer patients did not receive their planned operation during the first wave of COVID-19. Surgical delay did not appear to compromise resectability, raising the hypothesis that any reduction in long-term survival attributable to delays is likely to be due to micro-metastatic disease

ECOWS'09 - 7th IEEE European Conference on Web Services: Preface

Presents the welcome message from the conference proceedings

A Review of Aspect-Oriented Software Development Techniques Used in Real-Time and Embedded Systems Software

Abstract. Timeliness and criticality of a process are the two main concerns when designing real-time systems. In addition to that embedded systems are bounded by limited resources. To achieve timeliness and conform to the criticality issues of various processes while at the same time using a minimal amount or resources, real-time embedded systems use different techniques such as task scheduling, resource management and task synchronization. All of these techniques involve a number of the modules of the system which makes the use of Aspect-Oriented Software Development imperative. AOSD is a programming technique which uses the notion of join points to capture specific locations in code execution and then use advices to insert new code. This paper examines existing work in the development of schedulers, resource allocation agents and synchronization techniques using Aspect-Oriented Software Development in real-time systems and more specifically in embedded systems. An analysis of the existing research is used to describe the advantages of using AOSD over conventional OOP methods and to identify areas where further research may be required.

USING ASPECT-ORIENTED SOFTWARE DEVELOPMENT IN REAL-TIME EMBEDDED SYSTEMS SOFTWARE A Review of Scheduling, Resource Allocation and Synchronization

Abstract: Timeliness and criticality of a process are the two main concerns when designing real-time systems. In addition to that embedded systems are bounded by limited resources. To achieve these concerns while at the same time using a minimal amount or resources, real-time embedded systems use different techniques such as task scheduling, resource management and task synchronization. These techniques involve a number of the modules of the system which makes the use of Aspect-Oriented Software Development imperative. AOSD is a programming technique which uses the notion of join points to capture specific locations in code execution and then use advices to insert new code. This paper examines existing work in the development of schedulers, resource allocation agents and synchronization techniques using Aspect-Oriented Software Development in real-time embedded systems. An analysis of the existing research is used to describe the advantages of using AOSD over conventional OOP methods and to identify areas where further research may be required.

Models and Data Engineering

International audienceData and models are two well established communities that are continuously contributing in new challenges in different research domains including cyber-physical systems [1], cloud computing [2], service oriented applications, social networks [3], big data (with its five Vs characteristics: Volume, Variety, Velocity, Veracity and Value) [4], etc. The success story of data and models communities is mainly based on the availability of foundations relying on formal methods [5], modelling methods [6], storage systems and platforms [7], advanced optimization structures, benchmarking, scalability, etc. These foundations are usually associated with tools and commercial and academic systems. The selected papers for this special issue address a variety of topics and concerns in models and data fields, including advanced databases, engagement systems, embedded and complex systems, etc