Does an Intervention Designed to Improve Self-management, Social Support and Awareness of Palliative-care Address Needs of Persons with Heart Failure, Family Caregivers and Clinicians?

Aims and Objectives To conduct a formative evaluation of the iPad‐Enhanced Shared Care Intervention for Partners (iSCIP) among persons with heart failure (HF), family caregivers and clinicians. Together, persons with HF and family caregivers are referred to as partners. Background There is growing awareness of the caregiver\u27s contributions to HF self‐management, social support and reciprocal benefits of interventions that involve both partners. The iSCIP engages both partners in a six‐session psychosocial intervention to address three preventable causes of poor outcomes in a HF population: poor self‐management skills, inadequate social support and underutilisation of palliative care. An iPad app is used to organise the intervention. The goals of the iSCIP are to engage partners in HF self‐management, communication about the HF patient\u27s care values and preferences, and future planning. Design A qualitative focus group design was used. Methods Seven clinicians and eight partners participated in focus groups to explore their experiences, needs and reaction to the iSCIP content and technologies employed. Open‐ended questions and closed‐ended surveys were used to collect data. Deductive content analysis was used to analyse the qualitative data. NVivo software was used for qualitative data analysis. Bayesian statistical models were used to analyse numeric data. Results The iSCIP met partners’ and clinicians’ needs to improve self‐management, communicate about care values and preferences and plan for the future. Quantitative analysis of numeric data supported our qualitative findings, in that both groups rated the intervention components useful to very useful. Implications for practice These findings add to the growing evidence of the feasibility and acceptability of programs that address care values and preferences, and care planning. The iSCIP can be used as a guide for developing interventions and software applications, which involve both partners in care and palliative‐care discussions

A simplified software architecture for self-updating Building Information Models (BIM)

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2009.Cataloged from PDF version of thesis.Includes bibliographical references (p. 61-63).Building Information Modeling (BIM) is an emerging software technology that is revolutionizing the architecture, engineering, and construction (A/E/C) industry. BIM technology employs "object-based 3D models-containing the physical and functional characteristics of a facility-that serve as a repository for lifecycle information in an open, interoperable format" [1]. The major difference between BIM and Computer-Aided Design/Drafting (CADD) is that the former includes geometry and a plethora of building information while the latter includes only geometry. BIM utilization in the AEC industry has increased due to 1) BIM tools increasing productivity in design tasks; 2) the increasing number of private and government agencies that have instituted BIM requirements; 3) the pervasive use of computer analysis and simulations models; 4) the benefits of BIM as lifecycle management tool. Current literature shows trends of a transition from a "passive"-static model-based-approach to an "active"-dynamic model-based-approach. The active approach requires the integration of BIM with sensors to create "self-updating" building models. Previous research introduces the concept of a self-updating building model ([2], [31, [41). These systems involve complex software architecture and may perpetuate the problem of software interoperability. This thesis explores the following question: May a similar system be created to synthesize dynamic sensor data while improving upon previous research and simplifying the software architecture? The author describes a prototype system, called LiveBuild, which integrates commercial BIM software with other off-the-shelf software components to create a self-updating building model. LiveBuild is the first self-updating building model that operates as an extension to existing commercial BIM software. Therefore, the transition from static to active building models is as simple as installing a plug-in. LiveBuild may serve as the basis for future research in self-updating building by providing simplified system that is well integrated with state-of-the art commercial design software. Likewise, the prototype is applicable for professional practice by allowing firms to use their existing BIM software to perform "pilot projects" with self-updating technology. The current prototype supports an interface with single commercial BIM software (Autodesk Revit 2009) product however future prototypes may extend both the functions and interfaces for other BIM software.by Pierre Fuller.S.M

Reconfigurable Very Long Instruction Word (VLIW) Processor

Future NASA missions will depend on radiation-hardened, power-efficient processing systems-on-a-chip (SOCs) that consist of a range of processor cores custom tailored for space applications. Aries Design Automation, LLC, has developed a processing SOC that is optimized for software-defined radio (SDR) uses. The innovation implements the Institute of Electrical and Electronics Engineers (IEEE) RazorII voltage management technique, a microarchitectural mechanism that allows processor cores to self-monitor, self-analyze, and selfheal after timing errors, regardless of their cause (e.g., radiation; chip aging; variations in the voltage, frequency, temperature, or manufacturing process). This highly automated SOC can also execute legacy PowerPC 750 binary code instruction set architecture (ISA), which is used in the flight-control computers of many previous NASA space missions. In developing this innovation, Aries Design Automation has made significant contributions to the fields of formal verification of complex pipelined microprocessors and Boolean satisfiability (SAT) and has developed highly efficient electronic design automation tools that hold promise for future developments

Self-Adaptation in Industry: A Survey

Computing systems form the backbone of many areas in our society, from manufacturing to traffic control, healthcare, and financial systems. When software plays a vital role in the design, construction, and operation, these systems are referred as software-intensive systems. Self-adaptation equips a software-intensive system with a feedback loop that either automates tasks that otherwise need to be performed by human operators or deals with uncertain conditions. Such feedback loops have found their way to a variety of practical applications; typical examples are an elastic cloud to adapt computing resources and automated server management to respond quickly to business needs. To gain insight into the motivations for applying self-adaptation in practice, the problems solved using self-adaptation and how these problems are solved, and the difficulties and risks that industry faces in adopting self-adaptation, we performed a large-scale survey. We received 184 valid responses from practitioners spread over 21 countries. Based on the analysis of the survey data, we provide an empirically grounded overview of state-of-the-practice in the application of self-adaptation. From that, we derive insights for researchers to check their current research with industrial needs, and for practitioners to compare their current practice in applying self-adaptation. These insights also provide opportunities for the application of self-adaptation in practice and pave the way for future industry-research collaborations.Comment: 43 page

Building Programmable Wireless Networks: An Architectural Survey

In recent times, there have been a lot of efforts for improving the ossified Internet architecture in a bid to sustain unstinted growth and innovation. A major reason for the perceived architectural ossification is the lack of ability to program the network as a system. This situation has resulted partly from historical decisions in the original Internet design which emphasized decentralized network operations through co-located data and control planes on each network device. The situation for wireless networks is no different resulting in a lot of complexity and a plethora of largely incompatible wireless technologies. The emergence of "programmable wireless networks", that allow greater flexibility, ease of management and configurability, is a step in the right direction to overcome the aforementioned shortcomings of the wireless networks. In this paper, we provide a broad overview of the architectures proposed in literature for building programmable wireless networks focusing primarily on three popular techniques, i.e., software defined networks, cognitive radio networks, and virtualized networks. This survey is a self-contained tutorial on these techniques and its applications. We also discuss the opportunities and challenges in building next-generation programmable wireless networks and identify open research issues and future research directions.Comment: 19 page

Highlighting the Future of Autonomous Vehicle Technology in 2020-2050

© 2018 IEEE. As the world enters the age of the 4th industrial revolution, the future of work has re-emerged as a fundamental question, among policy-makers, business leaders, workers and the broader public around the globe. This is applied by accelerating innovations and adoption of ever more sophisticated automation technologies. Most of the existing research and reports have focused on the impact of automation in advanced industrial countries. In this paper, we explore the role of software engineering in autonomous transportation in 2050, its challenges and research trends. The exploration will be done through analysis of different reports and UAE government summit prediction. We intended to see the vision of the future of software engineering that prepares engineers for future emerging technology. This could contribute to the solution and design of international standards as well as increase the market confidence. In addition, this can also contribute towards a proper start-up of self-driving technology. We believe that a successful adoption of Autonomous Vehicles (AV) in developing a future automobile system will best be attained through an effective risk management strategy. As a result, the potential threat to the AV will further be investigated by industry and government entities to deal with the huge threats of cybersecurity that might face the autonomous vehicles

A Seamless Convergence of the Digital and Physical Factory Aiming in Personalized Product Emergence Process (PPEP) for Smart Products within ESB Logistics Learning Factory at Reutlingen University

AbstractA seamless convergence of the digital and physical factory aiming in personalized Product Emergence Process (PPEP) for smart products within ESB Logistics Learning Factory at Reutlingen University.A completely new business model with reference to Industrie4.0 and facilitated by 3D Experience Software in today's networked society in which customers expect immediate responses, delightful experience and simple solutions is one of the mission scenarios in the ESB Logistics Learning Factory at ESB Business School (Reutlingen University).The business experience platform provides software solutions for every organization in the company respectively in the factory. An interface with dashboards, project management apps, 3D - design and construction apps with high end visualization, manufacturing and simulation apps as well as intelligence and social network apps in a collaborative interactive environment help the user to learn the creation of a value end to end process for a personalized virtual and later real produced product.Instead of traditional ways of working and a conventional operating factory real workers and robots work semi-intuitive together. Centerpiece in the self-planned interim factory is the smart personalized product, uniquely identifiable and locatable at all times during the production process – a scooter with an individual colored mobile phone – holder for any smart phone produced with a 3D printer in lot size one. Smart products have in the future solutions incorporated internet based services – designed and manufactured - at the costs of mass products. Additionally the scooter is equipped with a retrievable declarative product memory. Monitoring and control is handled by sensor tags and a raspberry positioned on the product. The engineering design and implementation of a changeable production system is guided by a self-execution system that independently find amongst others esplanade workplaces.The imparted competences to students and professionals are project management method SCRUM, customization of workflows by Industrie4.0 principles, the enhancements of products with new personalized intelligent parts, electrical and electronic self-programmed components and the control of access of the product memory information, to plan in a digital engineering environment and set up of the physical factory to produce customer orders. The gained action-orientated experience refers to the chances and requirements for holistic digital and physical systems

K8-Scalar: a workbench to compare autoscalers for container-orchestrated services (Artifact)

This artifact is an easy-to-use and extensible workbench exemplar, named K8-Scalar, which allows researchers to implement and evaluate different self-adaptive approaches to autoscaling container-orchestrated services. The workbench is based on Docker, a popular technology for easing the deployment of containerized software that also has been positioned as an enabler for reproducible research. The workbench also relies on a container orchestration framework: Kubernetes (K8s), the de-facto industry standard for orchestration and monitoring of elastically scalable container-based services. Finally, it integrates and extends Scalar, a generic testbed for evaluating the scalability of large-scale systems with support for evaluating the performance of autoscalers for database clusters. The associated scholarly paper presents (i) the architecture and implementation of K8-Scalar and how a particular autoscaler can be plugged in, (ii) sketches the design of a Riemann-based autoscaler for database clusters, (iii) illustrates how to design, setup and analyze a series of experiments to configure and evaluate the performance of this autoscaler for a particular database (i.e., Cassandra) and a particular workload type, (iv) and validates the effectiveness of K8-scalar as a workbench for accurately comparing the performance of different auto-scaling strategies. Future work includes extending K8-Scalar with an improved research data management repository

Using theory to improve low back pain care in Australian Aboriginal primary care: a mixed method single cohort pilot study

Background: Low back pain (LBP) care is frequently discordant with research evidence. This pilot study evaluated changes in LBP care following a systematic, theory informed intervention in a rural Australian Aboriginal Health Service. We aimed to improve three aspects of care; reduce inappropriate LBP radiological imaging referrals, increase psychosocial oriented patient assessment and, increase the provision of LBP self-management information to patients. Methods: Three interventions to improve care were developed using a four-step systematic implementation approach. A mixed methods pre/post cohort design evaluated changes in the three behaviours using a clinical audit of LBP care in a six month period prior to the intervention and then following implementation. In-depth interviews elicited the perspectives of involved General Practitioners (GPs). Qualitative analysis was guided by the theoretical domains framework. Results: The proportion of patients who received guideline inconsistent imaging referrals (GICI) improved from 4.1 GICI per 10 patients to 0.4 (95 % CI for decrease in rate: 1.6 to 5.6) amongst GPs involved in the intervention. Amongst non-participating GPs (locum/part-time GPs who commenced post-interventions) the rate of GICI increased from 1.5 to 4.4 GICI per 10 patients (95 % CI for increase in rate: .5 to 5.3). There was a modest increase in the number of patients who received LBP self-management information from participating GPs and no substantial changes to psychosocial oriented patient assessments by any participants; however GPs qualitatively reported that their behaviours had changed. Knowledge and beliefs about consequences were important behavioural domains related to changes. Environmental and resource factors including protocols for locum staff and clinical tools embedded in patient management software were future strategies identified. Conclusions: A systematic intervention model resulted in partial improvements in LBP care. Determinants of practice change amongst GPs were increased knowledge of clinical guidelines, education delivered by someone considered a trusted source of information, and awareness of the negative consequences of inappropriate practices, especially radiological imaging on patient outcomes. Inconsistent and non-evidence based practices amongst locum GPs was an issue that emerged and will be a significant future challenge. The systematic approach utilised is applicable to other services interested in improving LBP care

Identification of the components for investigation of the psychological strength of nursing applicants: A qualitative study

Aim: There is a lack of clarity about the components which would signify appropriate psychological strengths among nursing student candidates. This study was conducted to identify such components from the viewpoint of the clinical nurses and nursing instructors. Design: A qualitative study. Methods: This study comprised qualitative research using a conventional content analysis approach. Participants were 25 nurses and nursing instructors. Data were collected in audio-recorded and transcribed semi-structured interviews and were analysed using MAXQDA10 software. Results: Analysis revealed four main categories including "anger management," "Stress/distress management," "self-belief" and "aptitude for hard work.". Conclusions: This study identified core components for future investigations into the psychological strengths of nursing applicants. This study provides specific testable hypotheses for future research endeavours. It is recommended that the researchers investigate the appropriateness of the components identified in this study to assess the psychological strength of the applicants in the longitudinal studies