451,571 research outputs found
Where are your Manners? Sharing Best Community Practices in the Web 2.0
The Web 2.0 fosters the creation of communities by offering users a wide
array of social software tools. While the success of these tools is based on
their ability to support different interaction patterns among users by imposing
as few limitations as possible, the communities they support are not free of
rules (just think about the posting rules in a community forum or the editing
rules in a thematic wiki). In this paper we propose a framework for the sharing
of best community practices in the form of a (potentially rule-based)
annotation layer that can be integrated with existing Web 2.0 community tools
(with specific focus on wikis). This solution is characterized by minimal
intrusiveness and plays nicely within the open spirit of the Web 2.0 by
providing users with behavioral hints rather than by enforcing the strict
adherence to a set of rules.Comment: ACM symposium on Applied Computing, Honolulu : \'Etats-Unis
d'Am\'erique (2009
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Where Are My Intelligent Assistant's Mistakes? A Systematic Testing Approach
Intelligent assistants are handling increasingly critical tasks, but until now, end users have had no way to systematically assess where their assistants make mistakes. For some intelligent assistants, this is a serious problem: if the assistant is doing work that is important, such as assisting with qualitative research or monitoring an elderly parent’s safety, the user may pay a high cost for unnoticed mistakes. This paper addresses the problem with WYSIWYT/ML (What You See Is What You Test for Machine Learning), a human/computer partnership that enables end users to systematically test intelligent assistants. Our empirical evaluation shows that WYSIWYT/ML helped end users find assistants’ mistakes significantly more effectively than ad hoc testing. Not only did it allow users to assess an assistant’s work on an average of 117 predictions in only 10 minutes, it also scaled to a much larger data set, assessing an assistant’s work on 623 out of 1,448 predictions using only the users’ original 10 minutes’ testing effort
Handling Data-Based Concurrency in Context-Aware Service Protocols
Dependency analysis is a technique to identify and determine data
dependencies between service protocols. Protocols evolving concurrently in the
service composition need to impose an order in their execution if there exist
data dependencies. In this work, we describe a model to formalise context-aware
service protocols. We also present a composition language to handle dynamically
the concurrent execution of protocols. This language addresses data dependency
issues among several protocols concurrently executed on the same user device,
using mechanisms based on data semantic matching. Our approach aims at
assisting the user in establishing priorities between these dependencies,
avoiding the occurrence of deadlock situations. Nevertheless, this process is
error-prone, since it requires human intervention. Therefore, we also propose
verification techniques to automatically detect possible inconsistencies
specified by the user while building the data dependency set. Our approach is
supported by a prototype tool we have implemented.Comment: In Proceedings FOCLASA 2010, arXiv:1007.499
A personal view on basic education in reproduction : Where are we now and where are we going?
This article explores the current and expected direction of education in reproduction at the Faculty of Veterinary Medicine of Utrecht University. The current reproductive course in the Bachelor's programme is described. Based on the yearly routine course evaluation, changes have been started and continue to be implemented, and the educational ideas behind it are defined. Interactive e-learning modules that combine knowledge clips, animations, and quizzes have been developed. For the practical classes, e-modules with instructional videos have been paired to the written material. Using these new tools during self-study, students have to prepare for the necessary face-to-face classes that contain more in-depth discussions and practical training. In the second part, the author describes his expectations for further educational development. The growth of effective self-study using e-learning, besides traditional textbooks, before more in-depth face-to-face classes is likely to occur. With the growth of modern possibilities, such as the haptic technique and virtual reality, a better preparation in laboratory skills before practical training with animals is expected. In the author's opinion, despite all new learning methods and material, small group, face-to-face lectures, and practical classes with animals or animal material remain absolutely necessary. This article concludes with some lessons learned during the current adaptation of the course
Lifelong guidance policies in France and in Europe : where reforms are heading ?
The transformations occurring in work and employment at the present time are raising new expectations with respect to guidance policies. Public action concerning guidance is challenged by the growing complexity of educational and professional pathways and increasing career mobility. To deal with these new expectations with concerning guidance, its steering system needs to be reformed. The aim of this survey is to describe the reforms underway in France. French specificities will also be revealed by comparison with examples from other countries based on a literature review.guidance policie ; career mobility ; France ; Europe
CASP-DM: Context Aware Standard Process for Data Mining
We propose an extension of the Cross Industry Standard Process for Data
Mining (CRISPDM) which addresses specific challenges of machine learning and
data mining for context and model reuse handling. This new general
context-aware process model is mapped with CRISP-DM reference model proposing
some new or enhanced outputs
Whole Tumor Antigen Vaccines: Where Are We?
With its vast amount of uncharacterized and characterized T cell epitopes available for activating CD4? T helper and CD8? cytotoxic lymphocytes simultaneously, whole tumor antigen represents an attractive alternative source of antigens as compared to tumor-derived peptides and full-length recombinant tumor proteins for dendritic cell (DC)-based immunotherapy. Unlike defined tumor-derived peptides and proteins, whole tumor lysate therapy is applicable to all patients regardless of their HLA type. DCs are essentially the master regulators of immune response, and are the most potent antigen-presenting cell population for priming and activating naïve T cells to target tumors. Because of these unique properties, numerous DC-based immunotherapies have been initiated in the clinics. In this review, we describe the different types of whole tumor antigens that we could use to pulse DCs ex vivo and in vivo. We also discuss the different routes of delivering whole tumor antigens to DCs in vivo and activating them with toll-like receptor agonists
Drivers and barriers of circular economy business models: Where we are now, and where we are heading
Literature on the circular economy business model (CEBM) has witnessed a sharp upsurge in recent years. Although scholars have investigated CEBM from several perspectives, including the green business model, waste management, digital technology, the supply chain, and the financial impact of CEBM, critical analysis of the extant literature has not attracted scholarly attention. The current systematic literature review (SLR) on CEBM is an attempt to critically analyse and appraise the prior findings by following robust research protocols. We analysed a pool of 126 studies to identify the thematic research areas, recognise the research gaps and present future research agendas. Subsequently, we classified the research themes, namely the drivers of and barriers to CEBM. The paper thus provides a comprehensive assessment of the current state of the art on the drivers and barriers involved in executing CEBM. By identifying existing research gaps and presenting avenues for future research, the SLR illuminates the nuances of CEBM implementation. Moreover, we propose an actor-network theory-based conceptual framework for CEBM implementation for further investigation. We conclude the study by providing the theoretical and practical implications for those attempting to overcome the barriers and address the challenges involved in CEBM implementation.publishedVersionPaid open acces
Drivers and barriers of circular economy business models: Where we are now, and where we are heading
Literature on the circular economy business model (CEBM) has witnessed a sharp upsurge in recent years. Although scholars have investigated CEBM from several perspectives, including the green business model, waste management, digital technology, the supply chain, and the financial impact of CEBM, critical analysis of the extant literature has not attracted scholarly attention. The current systematic literature review (SLR) on CEBM is an attempt to critically analyse and appraise the prior findings by following robust research protocols. We analysed a pool of 126 studies to identify the thematic research areas, recognise the research gaps and present future research agendas. Subsequently, we classified the research themes, namely the drivers of and barriers to CEBM. The paper thus provides a comprehensive assessment of the current state of the art on the drivers and barriers involved in executing CEBM. By identifying existing research gaps and presenting avenues for future research, the SLR illuminates the nuances of CEBM implementation. Moreover, we propose an actor-network theory-based conceptual framework for CEBM implementation for further investigation. We conclude the study by providing the theoretical and practical implications for those attempting to overcome the barriers and address the challenges involved in CEBM implementation.publishedVersio
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