A study of System Interface Sets (SIS) for the host, target and integration environments of the Space Station Program (SSP)

System interface sets (SIS) for large, complex, non-stop, distributed systems are examined. The SIS of the Space Station Program (SSP) was selected as the focus of this study because an appropriate virtual interface specification of the SIS is believed to have the most potential to free the project from four life cycle tyrannies which are rooted in a dependance on either a proprietary or particular instance of: operating systems, data management systems, communications systems, and instruction set architectures. The static perspective of the common Ada programming support environment interface set (CAIS) and the portable common execution environment (PCEE) activities are discussed. Also, the dynamic perspective of the PCEE is addressed

Seeing the invisible: from imagined to virtual urban landscapes

Urban ecosystems consist of infrastructure features working together to provide services for inhabitants. Infrastructure functions akin to an ecosystem, having dynamic relationships and interdependencies. However, with age, urban infrastructure can deteriorate and stop functioning. Additional pressures on infrastructure include urbanizing populations and a changing climate that exposes vulnerabilities. To manage the urban infrastructure ecosystem in a modernizing world, urban planners need to integrate a coordinated management plan for these co-located and dependent infrastructure features. To implement such a management practice, an improved method for communicating how these infrastructure features interact is needed. This study aims to define urban infrastructure as a system, identify the systematic barriers preventing implementation of a more coordinated management model, and develop a virtual reality tool to provide visualization of the spatial system dynamics of urban infrastructure. Data was collected from a stakeholder workshop that highlighted a lack of appreciation for the system dynamics of urban infrastructure. An urban ecology VR model was created to highlight the interconnectedness of infrastructure features. VR proved to be useful for communicating spatial information to urban stakeholders about the complexities of infrastructure ecology and the interactions between infrastructure features.https://doi.org/10.1016/j.cities.2019.102559Published versio

Female participation in African agricultural research and higher education: New insights

Female farmers play a vital role in African agriculture, accounting for the majority of the agricultural workforce. However, agricultural research and higher education are disproportionately led by men. There is an urgent need for greater representation of women in the field of agricultural science and technology (S&T) in Sub-Saharan Africa. Female scientists, professors, and senior managers offer different insights and perspectives to help research institutes to more fully address the unique and pressing challenges of both female and male farmers in the region. Gender-disaggregated data on S&T capacity are scarce, often lack sufficient detail, and focus more generally on S&T rather than on agriculture specifically. Data are not always comparable due to different methodologies and coverage. The Agricultural Science and Technology Indicators (ASTI) initiative and the CGIAR Gender & Diversity (G&D) Program partnered together to address this information gap. This report presents the results of an in-depth benchmarking survey on gender-disaggregated capacity indicators, covering 125 agricultural research and higher education agencies in 15 countries in Sub-Saharan Africa. This is the first study of its kind to present detailed human resources data on female participation in agricultural science, the main findings of which include the following: • Total capacity in terms of the professional staff employed at the agricultural research and higher education agencies included in this study increased by 20 percent between 2000/01 and 2007/08, and women constituted almost half of this capacity increase. The female population of professional staff grew by eight percent per year on average, which is four times higher than the comparable rate of increase for the male population, indicating that the gender gap in African agricultural sciences is closing. • The proportion of female professional staff employed at the sample agricultural research and higher education agencies increased from 18 percent in 2000/01 to 24 percent in 2007/08, but fewer women have advanced degrees compared to their male colleagues. In 2007/08, for example, 27 percent of the sample’s professional women held PhD degrees compared with 37 percent of the sample’s professional men. • Of concern, about two-thirds of the overall (female and male) capacity increase comprised staff holding only BSc degrees, indicating that the overall quality of capacity in agricultural research and higher education is declining in some Sub-Saharan African countries. Notably, the total number of male professional staff trained to the MSc level declined between 2000/01 and 2007/08; however, more in-depth analysis is needed to explain the underlying causes of these shifts and to what degree they represent structural changes. • Levels of female participation in agricultural research and higher education among the sample agencies were particularly low in Ethiopia (6 percent), Togo (9 percent), Niger (10 percent), and Burkina Faso (12 percent). Shares of female professional staff were much higher in South Africa, Mozambique, and Botswana (32, 35, and 41 percent, respectively). • The female share of students enrolled in higher agricultural education was higher than the female shares of professional staff employed at the agricultural research and higher education agencies in most cases, but a significant proportion of the female students concerned were undertaking only BSc-level studies (83 percent). • Only 14 percent of the management positions were held by women, which is considerably lower than the share of female professional staff employed at the sample’s agricultural research and higher education agencies (24 percent). • The pool of female staff is much younger on average than the pool of male staff. • The prevalence of female professional staff is comparatively higher in fields related to life and social sciences, and comparatively lower in fields involving areas traditionally thought of as “hard science”, such as engineering.agricultural R&D, Sub-Saharan Africa, female participation, S&T capacity, agricultural higher education,

StoryDroid: Automated Generation of Storyboard for Android Apps

Mobile apps are now ubiquitous. Before developing a new app, the development team usually endeavors painstaking efforts to review many existing apps with similar purposes. The review process is crucial in the sense that it reduces market risks and provides inspiration for app development. However, manual exploration of hundreds of existing apps by different roles (e.g., product manager, UI/UX designer, developer) in a development team can be ineffective. For example, it is difficult to completely explore all the functionalities of the app in a short period of time. Inspired by the conception of storyboard in movie production, we propose a system, StoryDroid, to automatically generate the storyboard for Android apps, and assist different roles to review apps efficiently. Specifically, StoryDroid extracts the activity transition graph and leverages static analysis techniques to render UI pages to visualize the storyboard with the rendered pages. The mapping relations between UI pages and the corresponding implementation code (e.g., layout code, activity code, and method hierarchy) are also provided to users. Our comprehensive experiments unveil that StoryDroid is effective and indeed useful to assist app development. The outputs of StoryDroid enable several potential applications, such as the recommendation of UI design and layout code

Adaptive model-driven user interface development systems

Adaptive user interfaces (UIs) were introduced to address some of the usability problems that plague many software applications. Model-driven engineering formed the basis for most of the systems targeting the development of such UIs. An overview of these systems is presented and a set of criteria is established to evaluate the strengths and shortcomings of the state-of-the-art, which is categorized under architectures, techniques, and tools. A summary of the evaluation is presented in tables that visually illustrate the fulfillment of each criterion by each system. The evaluation identified several gaps in the existing art and highlighted the areas of promising improvement