Integrating mobile robotics and vision with undergraduate computer science

This paper describes the integration of robotics education into an undergraduate Computer Science curriculum. The proposed approach delivers mobile robotics as well as covering the closely related field of Computer Vision, and is directly linked to the research conducted at the authors’ institution. The paper describes the most relevant details of the module content and assessment strategy, paying particular attention to the practical sessions using Rovio mobile robots. The specific choices are discussed that were made with regard to the mobile platform, software libraries and lab environment. The paper also presents a detailed qualitative and quantitative analysis of student results, including the correlation between student engagement and performance, and discusses the outcomes of this experience

Reconnecting the Patient: Why Telehealth Policy Solutions Must Consider the Deepening Digital Divide

This Article attempts to untangle the complicated web of providing telehealth to those populations it is potentially capable of further alienating from access to healthcare including: 1) race/minority populations, 2) aging adults, 3) individuals with disabilities, 4) non-English speakers, 5) individuals living in rural areas, 6) socioeconomic class, and 7) children, in order to advance the argument that telehealth can be successful in providing healthcare access to these populations. Rather than suggesting that telehealth simply “cannot work” for these populations, instead this Article considers how telehealth can and must meet the needs of these individuals through technology, access, and policy developments. First, this Article explains how telehealth is defined and how the definition has and can continue to influence policy development. Next, this Article explores the issues surrounding the “digital divide” and how this relates to telehealth use. Then this Article discusses how access to technology impacts particular populations. This Article then considers legislation and policy developments both at the federal and state level that have emerged thus far that could help overcome challenges of accessibility, affordability, and usability. Finally, this Article offers policy recommendations for ensuring that the delivery of telehealth can be accessible to those populations with potentially less access to technology to ensure telehealth’s successful availability and use for these populations can continue beyond Covid-19

Geometric data for testing implementations of point reduction algorithms : case study using Mapshaper v 0.2.28 and previous versions

There are several open source and commercial implementations of the Visvalingam algorithm for line generalisation. The algorithm provides scope for implementation-specific interpretations, with different outcomes. This is inevitable and sometimes necessary and, they do not imply that an implementation is flawed. The only restriction is that the output must not be so inconsistent with the intent of the algorithm that it becomes inappropriate. The aim of this paper is to place the algorithm within the literature, and demonstrate the value of the teragon-test for evaluating the appropriateness of implementations; Mapshaper v 0.2.28 and earlier versions are used for illustrative purposes. Data pertaining to natural features, such as coastlines, are insufficient for establishing whether deviations in output are significant. The teragon-test produced an unexpected loss of symmetry from both the Visvalingam and Douglas-Peucker options, making the tested versions unsuitable for some applications outside of cartography. This paper describes the causes, and discusses their implications. Mapshaper 0.3.17 passes the teragon test. Other developers and users should check their implementations using contrived geometric data, such as the teragon data provided in this paper, especially when the source code is not available. The teragon-test is also useful for evaluating other point reduction algorithms

Using gaming paratexts in the literacy classroom

This paper illustrates how digital game paratexts may effectively be used in the high school English to meet a variety of traditional and multimodal literacy outcomes. Paratexts are texts that refer to digital gaming and game cultures, and using them in the classroom enables practitioners to focus on and valorise the considerable literacies and skills that young people develop and deploy in their engagement with digital gaming and game cultures. The effectiveness of valorizing paratexts in this manner is demonstrated through two examples of assessment by students in classes where teachers had designed curriculum and assessment activities using paratexts

A Method to Select and Optimize Slow Tourism Routes Using a Quality Index Procedure Based on Image Segmentation and DTM Modelling Based on NURBS: The Case Study of Multimodal Access to Inner Places from the Nodes of the Adriatic Coastline’s Infrastructure Bundle

This paper tests a combination of methods that allows for the optimization of a mobility network through the multimodal interchange between fast and slow routes. These routes contribute to mending the relationship between the existing infrastructural networks and the places of interest in the landscape while respecting morphological adaptability. The case study that generated the research question explained above is the Costa dei Trabucchi in Abruzzo, Italy. The choice of a single paradigmatic case study to evaluate the method is based on the need to analyse an edge context with very scarce data, except for the coast. The advantage of this method is the efficiency based on three main conditions: overcoming limitations due to data scarcity, the use of open-source data and the multiscalarity of analyses. The result of this research work is the creation of a useful strategy to identify the most suitable routes in terms of spatial quality and walkability/cyclability. The case study is formed by the territories crossed by a railway line that has recently been decommissioned. The displacement of a railway line creates opportunities to improve the quality and use of the territory locally, with a natural evolution of the track in a greenway, and at the territorial level because it generates a network of better multimodal and sustainable mobility solutions inside and between the surrounding areas

Winter Conditions Influence Biological Responses of Migrating Hummingbirds

Conserving biological diversity given ongoing environmental changes requires the knowledge of how organisms respond biologically to these changes; however, we rarely have this information. This data deficiency can be addressed with coordinated monitoring programs that provide field data across temporal and spatial scales and with process-based models, which provide a method for predicting how species, in particular migrating species that face different conditions across their range, will respond to climate change. We evaluate whether environmental conditions in the wintering grounds of broad-tailed hummingbirds influence physiological and behavioral attributes of their migration. To quantify winter ground conditions, we used operative temperature as a proxy for physiological constraint, and precipitation and the normalized difference vegetation index (NDVI) as surrogates of resource availability. We measured four biological response variables: molt stage, timing of arrival at stopover sites, body mass, and fat. Consistent with our predictions, we found that birds migrating north were in earlier stages of molt and arrived at stopover sites later when NDVI was low. These results indicate that wintering conditions impact the timing and condition of birds as they migrate north. In addition, our results suggest that biologically informed environmental surrogates provide a valuable tool for predicting how climate variability across years influences the animal populations

Cultural heritage and sustainable development targets : a possible harmonisation? Insights from the European Perspective

The Agenda 2030 includes a set of targets that need to be achieved by 2030. Although none of the 17 Sustainable Development Goals (SDGs) focuses exclusively on cultural heritage, the resulting Agenda includes explicit reference to heritage in SDG 11.4 and indirect reference to other Goals. Achievement of international targets shall happen at local and national level, and therefore, it is crucial to understand how interventions on local heritage are monitored nationally, therefore feeding into the sustainable development framework. This paper is focused on gauging the implementation of the Sustainable Development Goals with reference to cultural heritage, by interrogating the current way of classifying it (and consequently monitoring). In fact, there is no common dataset associated with monitoring SDGs, and the field of heritage is extremely complex and diversified. The purpose for the paper is to understand if the taxonomy used by different national databases allows consistency in the classification and valuing of the different assets categories. The European case study has been chosen as field of investigation, in order to pilot a methodology that can be expanded in further research. A cross‐comparison of a selected sample of publicly accessible national cultural heritage databases has been conducted. As a result, this study confirms the existence of general harmonisation of data towards the achievement of the SDGs with a broad agreement of the conceptualisation of cultural heritage with international frameworks, thus confirming that consistency exists in the classification and valuing of the different assets categories. However, diverse challenges of achieving a consistent and coherent approach to integrating culture in sustainability remains problematic. The findings allow concluding that it could be possible to mainstream across different databases those indicators, which could lead to depicting the overall level of attainment of the Agenda 2030 targets on heritage. However, more research is needed in developing a robust correlation between national datasets and international targets