Mobile phone use among patients and health workers to enhance primary healthcare : a qualitative study in rural South Africa

Mobile phones have the potential to improve access to healthcare information and services in low-resourced settings. This study investigated the use of mobile phones among patients with chronic diseases, pregnant women, and health workers to enhance primary healthcare in rural South Africa. Qualitative research was undertaken in Mpumalanga in 2014. Semi structured in-depth interviews were conducted with 113 patients and 43 health workers from seven primary healthcare clinics and one district hospital. Data were thematically analysed. We found that some health workers and patients used their own mobile phones for healthcare, bearing the cost themselves. Patients used their mobile phones to remind themselves to take medication or attend their clinic visits, and they appreciated receiving voice call reminders. Some patients and health workers accessed websites and used social media to gather health information, but lacked web search strategies. The use of the websites and social media was intermittent due to lack of financial ability to afford airtime among these patients and health workers. Many did not know what to search for and where to search. Doctors have developed their own informal mobile health solutions in response to their work needs and lack of resources due to their rurality. Physical and social factors influence the usability of mobile phones for healthcare, and this can shape communication patterns such as poor eyesight. The bottom-up use of mobile phones has been evolving to fill the gaps to augment primary care services in South Africa; however, barriers to access remain, such as poor digital infrastructure and low digital literacy

Participatory, Visible and Sustainable. Designing a Community Website for a Minority Group

This paper tackles three aspects of community-based technological initiatives aimed to support minority groups’ public expression and communication: participation, visibility and sustainability. Participation requires\ud the active involvement of the community members in various project phases (from design to evaluation), sharing decisional power with project leaders. Visibility\ud refers to the capacity of community messages to reach a relevant audience outside the boundaries of the community itself. Sustainability indicates the capacity of a project to continue, under the control and management of the local community, beyond its “supported” lifetime. The mutual influence of these three dimensions is examined in general and also in the light of a specific case study: an initiative involving a Romani community in rural Romania, having as main outcome the development of a community website (www.romanivoices.com/podoleni)

A Multi-channel Application Framework for Customer Care Service Using Best-First Search Technique

It has become imperative to find a solution to the dissatisfaction in response by mobile service providers when interacting with their customer care centres. Problems faced with Human to Human Interaction (H2H) between customer care centres and their customers include delayed response time, inconsistent solutions to questions or enquires and lack of dedicated access channels for interaction with customer care centres in some cases. This paper presents a framework and development techniques for a multi-channel application providing Human to System (H2S) interaction for customer care centre of a mobile telecommunication provider. The proposed solution is called Interactive Customer Service Agent (ICSA). Based on single-authoring, it will provide three media of interaction with the customer care centre of a mobile telecommunication operator: voice, phone and web browsing. A mathematical search technique called Best-First Search to generate accurate results in a search environmen

Strange bedfellows? Keyword and conceptual search unite to make sense of relevant ESI in electronic discovery

In the brief history of electronic discovery, the latter part of the twentieth century witnessed the demise of paper by a digital hero that emancipated the content of paper documents with OCR and TIFF. This technology added a third dimension to the realm of 2D paper document review and production that lead to a sea change in discovery methods. By many accounts what we have before us is a three-stage evolution from paper to digital to clustering in order to overcome the problems of volume and complexity of ESI. The intent of this position paper is to describe the development of the digital hero and methodology that is emancipating the content and context of ESI – conceptual search that spans file formats, languages and technique, and includes keyword search on a common, shared index

Taxonomy of P2P Applications

Peer-to-peer (p2p) networks have gained immense popularity in recent years and the number of services they provide continuously rises. Where p2p-networks were formerly known as file-sharing networks, p2p is now also used for services like VoIP and IPTV. With so many different p2p applications and services the need for a taxonomy framework rises. This paper describes the available p2p applications grouped by the services they provide. A taxonomy framework is proposed to classify old and recent p2p applications based on their characteristics

Content marketing model for leading web content management

This paper is envisaged to provide the Ukrainian businesses with suggestions for a content marketing model for the effective management of website content in order to ensure its leading position on the European and world markets. Our study employed qualitative data collection with semi-structured interviews, survey, observation methods, quantitative and qualitative methods of content analysis of regional B2B companies, as well as the comparative analysis. The following essential stages of the content marketing process as preliminary search and analysis, website content creation, promotion and distribution, and content marketing progress assessment were identified and classified in detail. The strategic decisions and activities at each stage of the process showed how a company’s on-site and off-site content can be used as a tool to establish the relationship between the brand and its target audience and increase brand visibility online. This study offered several useful insights into how website content, social media and various optimization techniques work together in engaging with the target audience and driving website traffic and sales leads. We constructed and described the content marketing model elaborated for effective web content management that can be useful for those companies that start to consider employing content marketing strategy for achieving business goals and increasing a leadership position

Digital marketing actions that achieve a better attraction and loyalty of users: an analytical study

Currently, the digital economy contributes decisively to an increase in competitiveness, especially as a digital transformation involves migrating to new technological models where digital marketing is a key part of growth and user loyalty strategies. Internet and Digital Marketing have become important factors in campaigns, which attract and retain Internet users. This study aims to identify the main ways in which users can be gained and retained by using Digital Marketing. The Delphi method with in-depth interviews was the methodology used in this study. The results of the research show the most important actions for achieving user recruitment and loyalty with Digital Marketing from the opinions of consulted experts. The limitations of this study are those related to the number of experts included in the study, and the number of research papers consulted in the literature review. The literature review and the results of this research are used to propose new solid research with a consolidated critical methodology. This research deals with a new approach that will optimize web technologies for the evolution of user trends, and therefore, will be of academic and professional use for marketing managers and web solution developers. The conclusions of the investigation show the key factors, discarding others that do not affect the optimization of conversions in B2C businesses such as the duration of the session and the rebound percentage. Likewise, the results of the research identify the specific actions that must be carried out to attract and retain users in B2C companies that use the Digital Marketing ecosystem on the Internet. The requirements for companies that wish to implement a model to optimize conversions using the current digital economy are also shown.info:eu-repo/semantics/publishedVersio

Adobe Youth Voices Literature Review

Education Development Center, Inc. (EDC) received a grant from Adobe to conduct an evaluation of the Adobe Youth Voices (AYV) program. As part of the evaluation, EDC conducted a review of relevant literature to situate AYV in a broader context, provide stakeholders with a framework for understanding goals and outcomes, and frame and inform the evaluation questions. EDC reviewed scholarly articles, program reports and evaluations, and research studies that addressed youth media programs, youth development, teacher professional development, and other areas related to AYV's goals.Among the findings, the literature review includes 6 key points that speak to the AYV program:1. The goals of youth media programs most commonly cited can be grouped into several categories: Youth voice -- the capacity for self-expression Youth development -- the process of developing the skills and personal attributes that enable young people to become successful adults Media literacy -- the ability to analyze, evaluate and produce information in a variety of media forms Skill development -- such as communication, critical thinking, technology, and media production skills Social action or civic engagement 2. Outcomes and impacts on participants of youth media programs commonly found in the literature include: Improved skills Improved community perception of youth Positive youth development Increased social action and civic engagement 3. Outcomes and impacts on participants of youth development programs frequently cited include:Improved communication, critical thinking, and related skills Increased self-esteem More positive attitudes towards school and their futures 4. There is broad agreement that traditional educational approaches do not adequately address 21st century skills. Education must adapt to be more compatible with the ways in which young people think and learn, as well as the tools and media that are part of their environment.5. Student engagement in education has been associated with positive youth development and 21st century skills. Engaging instruction often includes inquiry- or project-based, multidisciplinary, and authentic learning activities.6. Educator professional development is believed to be a key step toward improving student outcomes. While there is little research that can demonstrate this connection, there is new focus on evaluating the effectiveness of professional development activities. Elements of effective professional development include learning communities and collaboration, ongoing support and assistance, and active or applied learning

Deep Learning in the Automotive Industry: Applications and Tools

Deep Learning refers to a set of machine learning techniques that utilize neural networks with many hidden layers for tasks, such as image classification, speech recognition, language understanding. Deep learning has been proven to be very effective in these domains and is pervasively used by many Internet services. In this paper, we describe different automotive uses cases for deep learning in particular in the domain of computer vision. We surveys the current state-of-the-art in libraries, tools and infrastructures (e.\,g.\ GPUs and clouds) for implementing, training and deploying deep neural networks. We particularly focus on convolutional neural networks and computer vision use cases, such as the visual inspection process in manufacturing plants and the analysis of social media data. To train neural networks, curated and labeled datasets are essential. In particular, both the availability and scope of such datasets is typically very limited. A main contribution of this paper is the creation of an automotive dataset, that allows us to learn and automatically recognize different vehicle properties. We describe an end-to-end deep learning application utilizing a mobile app for data collection and process support, and an Amazon-based cloud backend for storage and training. For training we evaluate the use of cloud and on-premises infrastructures (including multiple GPUs) in conjunction with different neural network architectures and frameworks. We assess both the training times as well as the accuracy of the classifier. Finally, we demonstrate the effectiveness of the trained classifier in a real world setting during manufacturing process.Comment: 10 page