This paper presents an endogenous growth model comprising of financial, human and physical capital and incorporating major features of a general tax system. Technology and preference parameter values in the model are chosen to fit the actual growth experiences of the United States and a rapidly growing East Asian NIC
The main purpose of having a user profile is to provide personalized services for users based on their interests, knowledge, task, behavior, and demographic information. In this paper, we propose an Ontology-based Research Profile Creation (ObRPC) model to create keyword profiles of users to assist in the task of
This study seeks to understand how social media is used over time by a community network associated with the implementation of federal homeless policy in the U.S. In addition, this study explores the structure of the social media network that evolves over time. Drawing on previous social media and network research, longitudinal data from 2009 to 2013 was gathered from the Facebook page of a homeless...
The authors investigated censorship practices and the use of microblogs—or weibos, in Chinese—using 111 million microblogs collected between 1 January and 30 June 2012. To better control for alternative explanations for censorship decisions attributable to an individual's characteristics and choices, they used a matched case-control study design to determine a list of Chinese...
Various studies have found that electronic books (e‐books) promote learning, but few works have examined the use of e‐books along with an adaptive reading strategy for children. The current study implemented a method to extract keyword cues from e‐books to support e‐book reading with the read, recite and review
Disasters affect millions of people annually, causing large numbers of fatalities, detrimental economic impact and the displacement of communities. Policy-makers, researchers and industry professionals are regularly faced with these consequences and therefore require tools to assess the potential impacts and
IT industry is booming. So, the requirement for resources is also on the increase. Industry requires more processing power and storage capability to meet their goal. Here, Cloud Computing comes in the picture, it provides IT industry the much-needed resources on a large scale at low cost and makes their task easy
Secure Personal Cloud architecture relieves the individual from this security task by employing a secure token (i.e., a tamper-resistant hardware device) to control all the sensitive information (e.g., encryption keys, metadata, indexes) and operations (e.g., authentication, data encryption/decryption, access control, and
and retrieved through a secure source without any loss in the data. Nevertheless sharing and searching of the data is the key aspect, but when it is outsourced undeniably it is a cumbersome task. It may lead to unveil the sensitive information and so the records may become vulnerable to the hackers. In this report, we
The need for parallel task execution has been steadily growing in recent years since manufacturers mainly improve processor performance by scaling the number of installed cores instead of the frequency of processors. To make use of this potential, an essential technique to increase the parallelism of a program is to
and L1 genre awareness in the L2 classroom. In this context, some recommendations are given for developing consciousness-raising tasks, activities and materials about if-conditionals. Materials are intended to promote semantic processing, noticing and/or reflecting based on nontechnical vocabulary and working
Due to the extreme environmental conditions, speech recognition in the rescue operation domain is a complex and difficult task. Various types of noise and speaker stress represent the main problems for the recognition engine. Within the SHARE project, a dedicated domain specific training corpus was recorded to
multi-threading system is developed to achieve task parallelization, thread parallelization, and pipelined parallelization. We show the effectiveness of our system by considering a number of queries involving SNP datasets. We show that most of the queries can be accelerated significantly by exploiting these three forms of
For rapid and effective recovery from a flood disaster, an anti-disaster headquarters must not only assess the extent of damage, but also possess overall knowledge of the possible anti-disaster measures. However, in an anti-disaster headquarters, the personnel possess specialized knowledge, and the prospective
Dynamic Time Warping (DTW), is a simple but efficient technique for matching sequences with rigid deformation. Therefore, it is frequently used for matching shapes in general, and shapes of handwritten words in Document Image Analysis tasks. As DTW is computationally expensive, efficient algorithms for fast
The composition of multimedia presentations is a time- and resource-consuming task if not afforded in a well-defined manner. This is particularly true when people having different roles and following different high-level directives, collaborate in the authoring and assembling of a final product. For this reason we
Vor dem Hintergrund unterschiedlicher gesellschaftlicher Entwicklungen findet das zivilgesellschaftliche Engagement durch Politik, Gesellschaft und Wissenschaft verstärkte Aufmerksamkeit. Zunehmend werden dem Engagement in letzter Zeit auch im Bereich von Bildung und Erziehung besondere Fähigkeiten und Potenziale zugeschrieben. Die Engagementforschung kann auf beachtliche Fortschritte verweisen. Angaben...
domain of knowledge management. In this paper we describe an industrial demonstration of fuzzy ontologies in information retrieval in the paper industry where problem solving reports are annotated with keywords and then stored in a database for later use. Furthermore, using Bellmann-Zadeh's principle to fuzzy decision
The increasing amount of data on the Web bears potential for addressing complex information needs more effectively. Instead of keyword search and browsing along links between results, users can specify the needs in terms of complex queries and obtain precise answers right away. However, users might not always know
biased. Most seem to think that keyword selection is easy, since they do Google searches every day, but we demonstrate that humans perform exceedingly poorly at this basic task. We offer a better approach, one that also can help with following conversations where participants rapidly innovate language to evade authorities
Financed by the National Centre for Research and Development under grant No. SP/I/1/77065/10 by the strategic scientific research and experimental development program:
SYNAT - “Interdisciplinary System for Interactive Scientific and Scientific-Technical Information”.