1,316 research outputs found

    Collaborating with the Crowd for Software Requirements Engineering: A Literature Review

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    Requirements engineering (RE) represents a decisive success factor in software development. The novel approach of crowd-based RE seeks to overcome shortcomings of traditional RE practices such as the resource intensiveness and selection bias of stakeholder workshops or interviews. Two streams of research on crowd-based RE can be observed in literature: data-driven approaches that extract requirements from user feedback or analytics data and collaborative approaches in which requirements are collectively developed by a crowd of software users. As yet, research surveying the state of crowd-based RE does not put particular emphasis on collaborative approaches, despite collaborative crowdsourcing being particularly suited for joint ideation and complex problem-solving tasks. Addressing this gap, we conduct a structured literature review to identify the RE activities supported by collaborative crowd-based approaches. Our research provides a systematic overview of the domain of collaborative crowd-based RE and guides researchers and practitioners in increasing user involvement in RE

    Exploring Archetypes of Value Co-Destructive Privacy Practices

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    Personal data is a critical resource to tailor digital services to the context of use and the preferences of individual users. Services have the characteristic that users and providers no longer interact in a dyadic relationship but rather in service systems co-creating value. Here, actors can provoke adverse effects that result from misaligned or destructive behavior. In service research, value co-destruction emerged as a perspective to study such undermined value co-creation. We use this lens in the case of information privacy as an example of a normative value. Building on a multi-case analysis of information privacy violations reported in the news, we elucidate seven archetypes of value co- destruction. These archetypes enable an understanding of underlying conceptions and mechanisms of actor arrangements that inhibit the holistic consideration of normative values such as information privacy in digital services

    Multilevel Design for Smart Communities – The Case of Building a Local Online Neighborhood Social Community

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    Smart cities and communities aim for social well-being. Mobilizing and integrating various institutions, actors, and resources are crucial when building and instantiating smart community initiatives. The design of such an arrangement is a complex phenomenon, difficult to conduct systematically and to observe empirically. We address this challenge by applying a multilevel design framework for service systems to an ongoing design science research project. The research project pursues the goal of building a neighborhood community as an instantiation of smart communities by activating and leveraging local institutions, actors, and resources on an IT-enabled engagement platform. We demonstrate how this multilevel perspective informs the design process for building smart communities. Based on micro-level observations, the interdependence of engagement-stimulating mechanisms related to the platform’s design at the meso-level, and design implications for the institutional arrangement at the macro-level are emphasized as inseparable design activities for mobilizing and integrating actors and resources

    HEALTHY, ACTIVE AND CONNECTED: TOWARDS DESIGNING AN AGE-FRIENDLY DIGITAL NEIGHBORHOOD PLATFORM

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    Due to declining fertility rates and rising life expectancy, the world’s population is ageing at an unprecedented pace. This demographic change is expected to exert pressure on social security as well as healthcare systems and poses the risk of social exclusion of the elderly. As urban areas are home to the majority of the global elderly population, they are disproportionately affected by this development. Cities have begun responding with strategies ranging from policy and regulation reform to investments in innovative healthcare technologies with the goal of becoming “age-friendly”. Enabling the elderly to live a socially active, healthy and self-determined lifestyle past retirement are among the prime objectives for alleviating the challenges of an ageing society. With increasing urbanization, human, technological and infrastructural resources of urban contexts or neighborhoods have presented themselves as important determinants of elderly well-being. We propose that an age-friendly digital neighborhood platform can activate and leverage these re-sources to the benefit of the elderly population, contributing to the mitigation of the challenges of an ageing society. Following a design science research approach, we develop design principles for such an age-friendly digital neighborhood platform and evaluate a prototypical instantiation in two case neighborhoods in a German metropolitan area

    Design Knowledge for the Lifecycle Management of Conversational Agents

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    Organizations spend extensive resources on artificial intelligence (AI) solutions in customer service in order to remain customer-focused and competitive. A rising language-based application of AI emerges in the context of conversational agents (CAs), such as chatbots, which represent increasingly intelligent, autonomous, scalable, and cost-effective service platforms. However, AI-based CAs bring new organizational challenges. They are underrepresented in current research, leading to many unanswered questions and research potential regarding the management of their introduction, operation, and improvement. To address this issue, we provide design knowledge that considers the organizational perspective of CAs. Therefore, we conducted a systematic literature review (SLR) and qualitative interview study to reveal and analyze individual issues and challenges, develop meta-requirements, and finally, use them to create design principles. We contribute to the emerging field of CAs that has previously focused mainly on the individual, behavioral, interactional, or technical design

    Configuring ship locks using a product platform based on DSM methods

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    Rijkswaterstaat (RWS), the executive branch of the Dutch Ministry of Infrastructure and Water Management, has announced that a significant number of ship locks in the Netherlands are due for renovation during the coming decades. The renovation of ship locks allows RWS to reconsider current existing preferences for lock design and to investigate options to develop a product platform for locks. This paper presents a method for the development of such a platform, based on the functions of a lock and the component alternatives to provide that function. By applying design structure matrix (DSM) modeling and value analysis methods, a ranked set of feasible lock configurations can be obtained that meets the specific requirements for a particular lock location while trading against the desired commonality in the family of locks. Preferred configuration attributes are to be incorporated in a product platform for locks to support RWS with the planned lock renovations

    Study of Controlled Atmosphere Flexible Microtube Plasma Soft Ionization Mass Spectrometry for Detection of Volatile Organic Compounds as Potential Biomarkers in Saliva for Cancer

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    A new soft ionization device for mass spectrometry is presented using the flexible microtube plasma under controlled atmospheric conditions. The controlled atmosphere flexible microtube plasma consists of the plasma source itself connected to a gas chromatograph and a mass spectrometer using a borosilicate glass cross piece. Controlled atmosphere, for example, nitrogen and/or an oxygen mixture, is introduced to the system to create a clean ionization environment. Reproducibility issues are discussed, and solutions are presented manipulating the gas flow in the cross piece. A proof of concept is shown using a ketone mixture introduced to the mass spectrometer to optimize atmospheric conditions. Furthermore, application of the presented device for the sensitive and nonfragmenting ionization of volatile organic biomarkers relevant for cancer is carried out. Sample treatment for human saliva is described, and relevant candidate biomarkers are measured in the saliva matrix, showing a very good ionization efficiency and neglectable matrix effects with limits of detection below 80 ppt

    The relative myocardial blood volume differentiates between hypertensive heart disease and athlete's heart in humans

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    Aims The adaptation of the myocardial microcirculation in humans to pathologic and physiologic stress has not been examined in vivo so far. We sought to test whether the relative blood volume (rBV) measured by myocardial contrast echocardiography (MCE) can differentiate between left ventricular (LV) hypertrophy (LVH) in hypertensive heart disease and athlete's heart. Methods and results Four groups were investigated: hypertensive patients with LVH (n=15), semi-professional triathletes with LVH (n=15), professional football players (n=15), and sedentary control individuals without cardiovascular disease (n=15). MCE was performed at rest and during adenosine-induced hyperaemia. The rBV (mL mL−1), its exchange frequency (ÎČ, min−1), and myocardial blood flow (mL min−1 g−1) were derived from steady state and refill sequences of ultrasound contrast agent. Hypertensive patients had lower rBV (0.093±0.013 mL mL−1) than triathletes (0.141±0.012 mL mL−1, P<0.001), football players (0.129±0.014 mL mL−1, P<0.001), and sedentary individuals (0.126±0.018 mL mL−1, P<0.001). Conversely, the exchange frequency (ÎČ) was significantly higher in hypertensive patients (11.3±3.8 min−1) than in triathletes (7.4±1.8 min−1), football players (7.7±2.3 min−1), and sedentary individuals (9.0±2.5 min−1). An rBV below 0.114 mL mL−1 distinguished hypertensive patients and triathletes with a sensitivity of 93% and a specificity of 100%. Conclusion Pathologic and physiologic LVH were differentiated non-invasively and accurately by rBV, a measure of vascularisation assessed by MC

    Horizontal Gene Transfer Regulation in Bacteria as a “Spandrel” of DNA Repair Mechanisms

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    Horizontal gene transfer (HGT) is recognized as the major force for bacterial genome evolution. Yet, numerous questions remain about the transferred genes, their function, quantity and frequency. The extent to which genetic transformation by exogenous DNA has occurred over evolutionary time was initially addressed by an in silico approach using the complete genome sequence of the Ralstonia solanacearum GMI1000 strain. Methods based on phylogenetic reconstruction of prokaryote homologous genes families detected 151 genes (13.3%) of foreign origin in the R. solanacearum genome and tentatively identified their bacterial origin. These putative transfers were analyzed in comparison to experimental transformation tests involving 18 different genomic DNA positions in the genome as sites for homologous or homeologous recombination. Significant transformation frequency differences were observed among these positions tested regardless of the overall genomic divergence of the R. solanacearum strains tested as recipients. The genomic positions containing the putative exogenous DNA were not systematically transformed at the highest frequencies. The two genomic “hot spots”, which contain recA and mutS genes, exhibited transformation frequencies from 2 to more than 4 orders of magnitude higher than positions associated with other genes depending on the recipient strain. These results support the notion that the bacterial cell is equipped with active mechanisms to modulate acquisition of new DNA in different genomic positions. Bio-informatics study correlated recombination “hot-spots” to the presence of Chi-like signature sequences with which recombination might be preferentially initiated. The fundamental role of HGT is certainly not limited to the critical impact that the very rare foreign genes acquired mainly by chance can have on the bacterial adaptation potential. The frequency to which HGT with homologous and homeologous DNA happens in the environment might have led the bacteria to hijack DNA repair mechanisms in order to generate genetic diversity without losing too much genomic stability
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