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knowledge networks</title> <meta name="description" content="Search results for: integrated knowledge networks"> <meta name="keywords" content="integrated knowledge networks"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="integrated knowledge networks"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 12487</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: integrated knowledge networks</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12487</span> Use of Integrated Knowledge Networks to Increase Innovation in Nanotechnology Research and Development</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=R.%20Byler">R. Byler</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Innovation, particularly in technology development, is a crucial aspect of nanotechnology R&D and, although several approaches to effective innovation management exist, organizational structures that promote knowledge exchange have been found to be most effect in supporting new and emerging technologies. This paper discusses Integrated Knowledge Networks (IKNs) and evaluates its use within nanotechnology R&D to increase technology innovation. Specifically, this paper reviews the role of IKNs in bolstering national and international nanotechnology development and in enhancing nanotechnology innovation. Both physical and virtual IKNs, particularly IT-based network platforms for community-based innovation, offer strategies for enhanced technology innovation, interdisciplinary cooperation, and enterprise development. Effectively creating and managing technology R&D networks can facilitate successful knowledge exchange, enhanced innovation, commercialization, and technology transfer. As such, IKNs are crucial to technology development processes and, thus, in increasing the quality and access to new, innovative nanoscience and technologies worldwide. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=community-based%20innovation" title="community-based innovation">community-based innovation</a>, <a href="https://publications.waset.org/abstracts/search?q=integrated%20knowledge%20networks" title=" integrated knowledge networks"> integrated knowledge networks</a>, <a href="https://publications.waset.org/abstracts/search?q=nanotechnology" title=" nanotechnology"> nanotechnology</a>, <a href="https://publications.waset.org/abstracts/search?q=technology%20innovation" title=" technology innovation"> technology innovation</a> </p> <a href="https://publications.waset.org/abstracts/31378/use-of-integrated-knowledge-networks-to-increase-innovation-in-nanotechnology-research-and-development" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/31378.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">412</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12486</span> Comparative Analysis of Integrated and Non-Integrated Fish Farming in Ogun State, Nigeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=B.%20G.%20Abiona">B. G. Abiona</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study compared profitability analysis of integrated and non-integrated fish farming in Ogun State, Nigeria. Primary data were collected using interview guide. Random sampling techniques was used to select 133 non-integrated fish farmers (NIFF) and 216 integrated fish farmers (IFF) (n = 349) from the study area. Data were analyzed using Chi-square, T-test and Pearson Product moment correlation. Results showed that 92.5% of NIFF was male compared to IFF (90.7%). Also, 96.8% of IFF and 79.7% of NIFF were married. The mean ages of sampled farmers were 44 years (NIFF) and 46 years (IFF) while the mean fish farming experiences were 4 years (NIFF) and 5 years (IFF). Also, the average net profit per year of integrated fish farmers was ₦162,550 compared to NIFF (₦61,638). The chi-square analyses showed that knowledge of fish farming had significant relationship with respondents sex (χ2 = 9.44, df = 2, p < 0.05), age (r = 0.20, p< 0.05) and farming experience (r = p = 0.05). Significant differences exist between integrated and non-integrated fish farming, considering their knowledge of fish farming (t = 21.5, χ = 43.01, p < 0.05). The study concluded that IFF are more profitable compared to NIFF. It was recommended that private investors and NGOs should sponsor short training and courses which will enhance efficiency of fish farming to boost productivity among fish farmers. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=profitability%20analysis" title="profitability analysis">profitability analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=farms" title=" farms"> farms</a>, <a href="https://publications.waset.org/abstracts/search?q=integration" title=" integration"> integration</a> </p> <a href="https://publications.waset.org/abstracts/7469/comparative-analysis-of-integrated-and-non-integrated-fish-farming-in-ogun-state-nigeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/7469.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">336</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12485</span> The Nature and the Structure of Scientific and Innovative Collaboration Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Afshin%20Moazami">Afshin Moazami</a>, <a href="https://publications.waset.org/abstracts/search?q=Andrea%20Schiffauerova"> Andrea Schiffauerova</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The objective of this work is to investigate the development and the role of collaboration networks in the creation of knowledge and innovations in the US and Canada, with a special focus on Quebec. In order to create scientific networks, the data on journal articles were extracted from SCOPUS, and the networks were built based on the co-authorship of the journal papers. For innovation networks, the USPTO database was used, and the networks were built on the patent co-inventorship. Various indicators characterizing the evolution of the network structure and the positions of the researchers and inventors in the networks were calculated. The comparison between the United States, Canada, and Quebec was then carried out. The preliminary results show that the nature of scientific collaboration networks differs from the one seen in innovation networks. Scientists work in bigger teams and are mostly interconnected within one giant network component, whereas the innovation network is much more clustered and fragmented, the inventors work more repetitively with the same partners, often in smaller isolated groups. In both Canada and the US, an increasing tendency towards collaboration was observed, and it was found that networks are getting bigger and more centralized with time. Moreover, a declining share of knowledge transfers per scientist was detected, suggesting an increasing specialization of science. The US collaboration networks tend to be more centralized than the Canadian ones. Quebec shares a lot of features with the Canadian network, but some differences were observed, for example, Quebec inventors rely more on the knowledge transmission through intermediaries. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Canada" title="Canada">Canada</a>, <a href="https://publications.waset.org/abstracts/search?q=collaboration" title=" collaboration"> collaboration</a>, <a href="https://publications.waset.org/abstracts/search?q=innovation%20network" title=" innovation network"> innovation network</a>, <a href="https://publications.waset.org/abstracts/search?q=scientific%20network" title=" scientific network"> scientific network</a>, <a href="https://publications.waset.org/abstracts/search?q=Quebec" title=" Quebec"> Quebec</a>, <a href="https://publications.waset.org/abstracts/search?q=United%20States" title=" United States"> United States</a> </p> <a href="https://publications.waset.org/abstracts/76156/the-nature-and-the-structure-of-scientific-and-innovative-collaboration-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/76156.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">200</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12484</span> Creating Knowledge Networks: Comparative Analysis of Reference Cases</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sylvia%20Villarreal">Sylvia Villarreal</a>, <a href="https://publications.waset.org/abstracts/search?q=Edna%20Bravo"> Edna Bravo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Knowledge management focuses on coordinating technologies, people, processes, and structures to generate a competitive advantage and considering that networks are perceived as mechanisms for knowledge creation and transfer, this research presents the stages and practices related to the creation of knowledge networks. The methodology started with a literature review adapted from the systematic literature review (SLR). The descriptive analysis includes variables such as approach (conceptual or practical), industry, knowledge management processes and mythologies (qualitative or quantitative), etc. The content analysis includes identification of reference cases. These cases were characterized based on variables as scope, creation goal, years, network approach, actors and creation methodology. It was possible to do a comparative analysis to determinate similarities and differences in these cases documented in knowledge network scientific literature. Consequently, it was shown that even the need and impact of knowledge networks in organizations, the initial guidelines for their creation are not documented, so there is not a guide of good practices and lessons learned. The reference cases are from industries as energy, education, creative, automotive and textile. Their common points are the human approach; it is oriented to interactions to facilitate the appropriation of knowledge, explicit and tacit. The stages of every case are analyzed to propose the main successful elements. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=creation" title="creation">creation</a>, <a href="https://publications.waset.org/abstracts/search?q=knowledge%20management" title=" knowledge management"> knowledge management</a>, <a href="https://publications.waset.org/abstracts/search?q=network" title=" network"> network</a>, <a href="https://publications.waset.org/abstracts/search?q=stages" title=" stages"> stages</a> </p> <a href="https://publications.waset.org/abstracts/91259/creating-knowledge-networks-comparative-analysis-of-reference-cases" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/91259.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">301</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12483</span> Strengthening Farmer-to-farmer Knowledge Sharing Network: A Pathway to Improved Extension Service Delivery</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Farouk%20Shehu%20Abdulwahab">Farouk Shehu Abdulwahab</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The concept of farmer-farmer knowledge sharing was introduced to bridge the extension worker-farmer ratio gap in developing countries. However, the idea was poorly accepted, especially in typical agrarian communities. Therefore, the study explores the concept of a farmer-to-farmer knowledge-sharing network to enhance extension service delivery. The study collected data from 80 farmers randomly selected through a series of multiple stages. The Data was analysed using a 5-point Likert scale and descriptive statistics. The Likert scale results revealed that 62.5% of the farmers are satisfied with farmer-to-farmer knowledge-sharing networks. Moreover, descriptive statistics show that lack of capacity building and low level of education are the most significant problems affecting farmer-farmer sharing networks. The major implication of these findings is that the concept of farmer-farmer knowledge-sharing networks can work better for farmers in developing countries as it was perceived by them as a reliable alternative for information sharing. Therefore, the study recommends introducing incentives into the concept of farmer-farmer knowledge-sharing networks and enhancing the capabilities of farmers who are opinion leaders in the farmer-farmer concept of knowledge-sharing to make it more sustainable. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=agricultural%20productivity" title="agricultural productivity">agricultural productivity</a>, <a href="https://publications.waset.org/abstracts/search?q=extension" title=" extension"> extension</a>, <a href="https://publications.waset.org/abstracts/search?q=farmer-to-farmer" title=" farmer-to-farmer"> farmer-to-farmer</a>, <a href="https://publications.waset.org/abstracts/search?q=livelihood" title=" livelihood"> livelihood</a>, <a href="https://publications.waset.org/abstracts/search?q=technology%20transfer" title=" technology transfer"> technology transfer</a> </p> <a href="https://publications.waset.org/abstracts/180898/strengthening-farmer-to-farmer-knowledge-sharing-network-a-pathway-to-improved-extension-service-delivery" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/180898.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">64</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12482</span> A Framework for Customer Knowledge Management (CKM) as a Key Role in Relationship</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mehrnoosh%20Askarizadeh">Mehrnoosh Askarizadeh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The customer’s value has become obvious for the leading companies in today’s competitive environment. Therefore they are constantly trying to improve their relationship with customers. Customer Knowledge has been recognized as a strategic resource and a key to the success of any company. Talking about the Customer Knowledge Management is closely associated with Knowledge Management and Customer Relationship Management (CRM). Recent studies conducted in the fields of Knowledge Management (KM) and Customer Relationship Management (CRM) has explained that the two approaches can have great synergies. In this paper, our aim is to provide an understanding of Customer Knowledge Management (CKM) as an integrated management approach and competence it requires. We describe CKM as an ongoing process of generating, disseminating and using customer knowledge within an organization and between an organization and its customers. In addition, we propose a comprehensive framework of CKM, the ability to integrate customer knowledge into customer relationship management processes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=e-commerce" title="e-commerce">e-commerce</a>, <a href="https://publications.waset.org/abstracts/search?q=knowledge%20management%20%28KM%29" title=" knowledge management (KM)"> knowledge management (KM)</a>, <a href="https://publications.waset.org/abstracts/search?q=customer%20relationship%20management%20%28CRM%29" title=" customer relationship management (CRM)"> customer relationship management (CRM)</a>, <a href="https://publications.waset.org/abstracts/search?q=customer%20knowledge%20management%20%28CKM%29" title=" customer knowledge management (CKM)"> customer knowledge management (CKM)</a> </p> <a href="https://publications.waset.org/abstracts/32892/a-framework-for-customer-knowledge-management-ckm-as-a-key-role-in-relationship" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/32892.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">557</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12481</span> Automated Machine Learning Algorithm Using Recurrent Neural Network to Perform Long-Term Time Series Forecasting</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ying%20Su">Ying Su</a>, <a href="https://publications.waset.org/abstracts/search?q=Morgan%20C.%20Wang"> Morgan C. Wang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Long-term time series forecasting is an important research area for automated machine learning (AutoML). Currently, forecasting based on either machine learning or statistical learning is usually built by experts, and it requires significant manual effort, from model construction, feature engineering, and hyper-parameter tuning to the construction of the time series model. Automation is not possible since there are too many human interventions. To overcome these limitations, this article proposed to use recurrent neural networks (RNN) through the memory state of RNN to perform long-term time series prediction. We have shown that this proposed approach is better than the traditional Autoregressive Integrated Moving Average (ARIMA). In addition, we also found it is better than other network systems, including Fully Connected Neural Networks (FNN), Convolutional Neural Networks (CNN), and Nonpooling Convolutional Neural Networks (NPCNN). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=automated%20machines%20learning" title="automated machines learning">automated machines learning</a>, <a href="https://publications.waset.org/abstracts/search?q=autoregressive%20integrated%20moving%20average" title=" autoregressive integrated moving average"> autoregressive integrated moving average</a>, <a href="https://publications.waset.org/abstracts/search?q=neural%20networks" title=" neural networks"> neural networks</a>, <a href="https://publications.waset.org/abstracts/search?q=time%20series%20analysis" title=" time series analysis"> time series analysis</a> </p> <a href="https://publications.waset.org/abstracts/173817/automated-machine-learning-algorithm-using-recurrent-neural-network-to-perform-long-term-time-series-forecasting" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/173817.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">105</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12480</span> Integrated Approach of Knowledge Economy and Society in the Perspective of Higher Education Institutions</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20K.%20Ashiquer%20Rahman">S. K. Ashiquer Rahman</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Innovation, sustainability, and higher education are vital issues of the knowledge economy and society. In fact, the concentration on these issues, educators and researchers convinced the learners to prepare productive citizens for the knowledge economy and society, and many initiatives have been launched worldwide. The concept of a knowledge economy requires simultaneous and balanced progress in three dimensions (Innovation, Education and Sustainability) which are totally interdependent and correlated. The paper discusses the importance of an integrated approach to the knowledge economy and society from the perspective of higher education institutions. It remarks on the advent of a knowledge-based economy and society and the need for the combination of Innovation, sustainability, and education. This paper introduces nine (9) important issues or challenges of higher education institutions that have emphasized, cross-linked each other, and combined in a new education system that can form a new generation for the completive world as well as able to manage the knowledge-based economy and societal system. Moreover, the education system must be the foundation for building the necessary knowledge-based economy and society, which must manage the innovation process through a more sustainable world. In this viewpoint, Innovation, sustainability and higher education are becoming more and more central in our economy and society, and it is directly associated with the possibility of global wealth distribution to the economy and society. The objective of this research is to demonstrate the knowledge-based economy and social paradigm in order to create the opportunity for higher education institutions' development. The paper uses the collective action methodologies to examine “the mechanisms and strategies” used by higher education institutions’ authority to accommodate an integrated pattern as per connecting behaviors of knowledge economy and society. The paper accomplishes that the combination of Innovation, sustainability and education is a very helpful approach to building a knowledge-based economy and society for practicing the higher education institution’s challenges. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=education" title="education">education</a>, <a href="https://publications.waset.org/abstracts/search?q=innovation" title=" innovation"> innovation</a>, <a href="https://publications.waset.org/abstracts/search?q=knowledge%20economy" title=" knowledge economy"> knowledge economy</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainability" title=" sustainability"> sustainability</a> </p> <a href="https://publications.waset.org/abstracts/168663/integrated-approach-of-knowledge-economy-and-society-in-the-perspective-of-higher-education-institutions" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/168663.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">105</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12479</span> Traffic Congestions Modeling and Predictions by Social Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bojan%20Najdenov">Bojan Najdenov</a>, <a href="https://publications.waset.org/abstracts/search?q=Danco%20Davcev"> Danco Davcev</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Reduction of traffic congestions and the effects of pollution and waste of resources that come with them has been a big challenge in the past decades. Having reliable systems to facilitate the process of modeling and prediction of traffic conditions would not only reduce the environmental pollution, but will also save people time and money. Social networks play big role of people’s lives nowadays providing them means of communicating and sharing thoughts and ideas, that way generating huge knowledge bases by crowdsourcing. In addition to that, crowdsourcing as a concept provides mechanisms for fast and relatively reliable data generation and also many services are being used on regular basis because they are mainly powered by the public as main content providers. In this paper we present the Social-NETS-Traffic-Control System (SNTCS) that should serve as a facilitator in the process of modeling and prediction of traffic congestions. The main contribution of our system is to integrate data from social networks as Twitter and also implements a custom created crowdsourcing subsystem with which users report traffic conditions using an android application. Our first experience of the usage of the system confirms that the integrated approach allows easy extension of the system with other social networks and represents a very useful tool for traffic control. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=traffic" title="traffic">traffic</a>, <a href="https://publications.waset.org/abstracts/search?q=congestion%20reduction" title=" congestion reduction"> congestion reduction</a>, <a href="https://publications.waset.org/abstracts/search?q=crowdsource" title=" crowdsource"> crowdsource</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20networks" title=" social networks"> social networks</a>, <a href="https://publications.waset.org/abstracts/search?q=twitter" title=" twitter"> twitter</a>, <a href="https://publications.waset.org/abstracts/search?q=android" title=" android"> android</a> </p> <a href="https://publications.waset.org/abstracts/25742/traffic-congestions-modeling-and-predictions-by-social-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/25742.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">481</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12478</span> Integrating Knowledge into Health Care Systems: A Case Study Investigation on UAE Health Care</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Alya%20Al%20Ghufli">Alya Al Ghufli</a>, <a href="https://publications.waset.org/abstracts/search?q=Kelaithim%20Al%20Tunaiji"> Kelaithim Al Tunaiji</a>, <a href="https://publications.waset.org/abstracts/search?q=Sara%20Al%20Ali"> Sara Al Ali</a>, <a href="https://publications.waset.org/abstracts/search?q=Khalid%20Samara"> Khalid Samara</a> </p> <p class="card-text"><strong>Abstract:</strong></p> It is well known that health care systems encompass a variety of key knowledge sources that need to be integrated and shared amongst all types of users to attain higher-levels of motivation and productivity. The development of Health Integrated Systems (HIS) is often seen as a crucial step in strengthening the integration of knowledge to help serve the information needs of health care users. As an emergent economy, the United Arab Emirates (UAE) is regarded as a new arrival in the area of health information systems. As a new nation, there may be several challenges in terms of organisational climate and the sufficient skills and knowledge activities for effective use of HIS. In this regard, the lack of coordination, attitudes and practice of health-related systems can eventually result in unnecessary data and generally poor use of the system. This paper includes results from a qualitative preliminary study carried out from a case study investigation in a single large primary health care organisation in the United Arab Emirates (UAE) comprising various health care users. The study explored health care user’s perceptions about health integration and the impact it has on their practice. The main sources of information were semi-structured interviews and non-obtrusive observations. The authors conclude by presenting various recommendations for the development of HIS and knowledge activities and areas for further study. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=health%20integrated%20systems" title="health integrated systems">health integrated systems</a>, <a href="https://publications.waset.org/abstracts/search?q=knowledge%20sharing" title=" knowledge sharing"> knowledge sharing</a>, <a href="https://publications.waset.org/abstracts/search?q=knowledge%20activities" title=" knowledge activities"> knowledge activities</a>, <a href="https://publications.waset.org/abstracts/search?q=health%20information%20systems" title=" health information systems"> health information systems</a> </p> <a href="https://publications.waset.org/abstracts/30947/integrating-knowledge-into-health-care-systems-a-case-study-investigation-on-uae-health-care" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/30947.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">436</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12477</span> Causal Relation Identification Using Convolutional Neural Networks and Knowledge Based Features</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tharini%20N.%20de%20Silva">Tharini N. de Silva</a>, <a href="https://publications.waset.org/abstracts/search?q=Xiao%20Zhibo"> Xiao Zhibo</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhao%20Rui"> Zhao Rui</a>, <a href="https://publications.waset.org/abstracts/search?q=Mao%20Kezhi"> Mao Kezhi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Causal relation identification is a crucial task in information extraction and knowledge discovery. In this work, we present two approaches to causal relation identification. The first is a classification model trained on a set of knowledge-based features. The second is a deep learning based approach training a model using convolutional neural networks to classify causal relations. We experiment with several different convolutional neural networks (CNN) models based on previous work on relation extraction as well as our own research. Our models are able to identify both explicit and implicit causal relations as well as the direction of the causal relation. The results of our experiments show a higher accuracy than previously achieved for causal relation identification tasks. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=causal%20realtion%20extraction" title="causal realtion extraction">causal realtion extraction</a>, <a href="https://publications.waset.org/abstracts/search?q=relation%20extracton" title=" relation extracton"> relation extracton</a>, <a href="https://publications.waset.org/abstracts/search?q=convolutional%20neural%20network" title=" convolutional neural network"> convolutional neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=text%20representation" title=" text representation"> text representation</a> </p> <a href="https://publications.waset.org/abstracts/61573/causal-relation-identification-using-convolutional-neural-networks-and-knowledge-based-features" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/61573.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">732</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12476</span> Success Factors for Innovations in SME Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=J.%20Gochermann">J. Gochermann</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Due to complex markets and products, and increasing need to innovate, cooperation between small and medium size enterprises arose during the last decades, which are not prior driven by process optimization or sales enhancement. Especially small and medium sized enterprises (SME) collaborate increasingly in innovation and knowledge networks to enhance their knowledge and innovation potential, and to find strategic partners for product and market development. These networks are characterized by dual objectives, the superordinate goal of the total network, and the specific objectives of the network members, which can cause target conflicts. Moreover, most SMEs do not have structured innovation processes and they are not accustomed to collaborate in complex innovation projects in an open network structure. On the other hand, SMEs have suitable characteristics for promising networking. They are flexible and spontaneous, they have flat hierarchies, and the acting people are not anonymous. These characteristics indeed distinguish them from bigger concerns. Investigation of German SME networks have been done to identify success factors for SME innovation networks. The fundamental network principles, donation-return and confidence, could be confirmed and identified as basic success factors. Further factors are voluntariness, adequate number of network members, quality of communication, neutrality and competence of the network management, as well as reliability and obligingness of the network services. Innovation and knowledge networks with an appreciable number of members from science and technology institutions need also active sense-making to bring different disciplines into successful collaboration. It has also been investigated, whether and how the involvement in an innovation network impacts the innovation structure and culture inside the member companies. The degree of reaction grows with time and intensity of commitment. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=innovation%20and%20knowledge%20networks" title="innovation and knowledge networks">innovation and knowledge networks</a>, <a href="https://publications.waset.org/abstracts/search?q=SME" title=" SME"> SME</a>, <a href="https://publications.waset.org/abstracts/search?q=success%20factors" title=" success factors"> success factors</a>, <a href="https://publications.waset.org/abstracts/search?q=innovation%20structure%20and%20culture" title=" innovation structure and culture"> innovation structure and culture</a> </p> <a href="https://publications.waset.org/abstracts/10444/success-factors-for-innovations-in-sme-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/10444.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">283</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12475</span> Optimized Dynamic Bayesian Networks and Neural Verifier Test Applied to On-Line Isolated Characters Recognition</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Redouane%20Tlemsani">Redouane Tlemsani</a>, <a href="https://publications.waset.org/abstracts/search?q=Redouane"> Redouane</a>, <a href="https://publications.waset.org/abstracts/search?q=Belkacem%20Kouninef"> Belkacem Kouninef</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdelkader%20Benyettou"> Abdelkader Benyettou </a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, our system is a Markovien system which we can see it like a Dynamic Bayesian Networks. One of the major interests of these systems resides in the complete training of the models (topology and parameters) starting from training data. The Bayesian Networks are representing models of dubious knowledge on complex phenomena. They are a union between the theory of probability and the graph theory in order to give effective tools to represent a joined probability distribution on a set of random variables. The representation of knowledge bases on description, by graphs, relations of causality existing between the variables defining the field of study. The theory of Dynamic Bayesian Networks is a generalization of the Bayesians networks to the dynamic processes. Our objective amounts finding the better structure which represents the relationships (dependencies) between the variables of a dynamic bayesian network. In applications in pattern recognition, one will carry out the fixing of the structure which obliges us to admit some strong assumptions (for example independence between some variables). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Arabic%20on%20line%20character%20recognition" title="Arabic on line character recognition">Arabic on line character recognition</a>, <a href="https://publications.waset.org/abstracts/search?q=dynamic%20Bayesian%20network" title=" dynamic Bayesian network"> dynamic Bayesian network</a>, <a href="https://publications.waset.org/abstracts/search?q=pattern%20recognition" title=" pattern recognition"> pattern recognition</a>, <a href="https://publications.waset.org/abstracts/search?q=networks" title=" networks "> networks </a> </p> <a href="https://publications.waset.org/abstracts/34593/optimized-dynamic-bayesian-networks-and-neural-verifier-test-applied-to-on-line-isolated-characters-recognition" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/34593.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">617</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12474</span> Benefits of Collegial Teaming to Improve Knowledge-Worker Productivity </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Prakash%20Singh">Prakash Singh</a>, <a href="https://publications.waset.org/abstracts/search?q=Piet%20Maphodisa%20Kgohlo"> Piet Maphodisa Kgohlo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Knowledge-worker productivity is one of the biggest leadership challenges facing all organizations in the twenty-first century. It cannot be denied that knowledge-worker productivity affects all organizations. The work and the workforce are both undergoing greater changes currently than at any time, since the beginning of the industrial revolution two centuries ago. Employees welcome collegial teaming (CT) as an innovative way to develop their work-integrated learning competencies. Human resource development policies must evoke the symbiotic relationship between CT and work-integrated learning, seeing that employees need to be endowed with the competence to move from one skill to another, as each one becomes obsolete, and to simultaneously develop their cognitive and emotional intelligence. The outcome of this relationship must culminate in the development of highly productive knowledge-workers. While this study focuses on teachers, the conceptual framework and the findings of this research can be beneficial for any organization, public or private sector, business or non-business. Therefore, in this quantitative study, the benefits of CT are considered in developing human resources to sustain knowledge-worker productivity. The ANOVA p-values reveal that the majority of teachers agree that CT can empower them to overcome the challenges of managing curriculum change. CT can equip them with continuous and sustained learning, growth and improvement, necessary for knowledge-worker productivity. This study, therefore, confirms that CT benefits all workers, immaterial of their age, gender or experience. Hence, this exploratory research provides a new perspective of CT in addressing knowledge-worker productivity when organizational change alters the vision of the organization. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=collegial%20teaming" title="collegial teaming">collegial teaming</a>, <a href="https://publications.waset.org/abstracts/search?q=human%20resource%20development" title=" human resource development"> human resource development</a>, <a href="https://publications.waset.org/abstracts/search?q=knowledge-worker%20productivity" title=" knowledge-worker productivity"> knowledge-worker productivity</a>, <a href="https://publications.waset.org/abstracts/search?q=work-integrated%20learning" title=" work-integrated learning"> work-integrated learning</a> </p> <a href="https://publications.waset.org/abstracts/39324/benefits-of-collegial-teaming-to-improve-knowledge-worker-productivity" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/39324.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">277</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12473</span> Driven Force of Integrated Reporting in Thailand</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nuttha%20Kirdsinsap">Nuttha Kirdsinsap</a>, <a href="https://publications.waset.org/abstracts/search?q=Watchaneeporn%20Setthasakko"> Watchaneeporn Setthasakko</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper aims to gain opinions and perspectives of Certified Public Accountants (CPA) in Thailand regarding the driven force of Integrated Reporting. It employs in-depth interviews with CPA from different big 4 audits firms in Thailand, including PWC, Ernst and Young, Deloitte, and KPMG. It is found that the driven force of Integrated Reporting made CPA in Thailand awaken to the big change that is coming in the future, and it is said to be another big learning and integrating period between certified public accountants and other professionals (for example, engineers, environmentalists and lawyers), which, certified public accountants in Thailand will have to push themselves so hard to catch up. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=integrated%20reporting" title="integrated reporting">integrated reporting</a>, <a href="https://publications.waset.org/abstracts/search?q=learning" title=" learning"> learning</a>, <a href="https://publications.waset.org/abstracts/search?q=knowledge" title=" knowledge"> knowledge</a>, <a href="https://publications.waset.org/abstracts/search?q=certified%20public%20accountants" title=" certified public accountants"> certified public accountants</a>, <a href="https://publications.waset.org/abstracts/search?q=Thailand" title=" Thailand"> Thailand</a> </p> <a href="https://publications.waset.org/abstracts/6316/driven-force-of-integrated-reporting-in-thailand" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/6316.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">270</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12472</span> Comparing Community Detection Algorithms in Bipartite Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ehsan%20Khademi">Ehsan Khademi</a>, <a href="https://publications.waset.org/abstracts/search?q=Mahdi%20Jalili"> Mahdi Jalili</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Despite the special features of bipartite networks, they are common in many systems. Real-world bipartite networks may show community structure, similar to what one can find in one-mode networks. However, the interpretation of the community structure in bipartite networks is different as compared to one-mode networks. In this manuscript, we compare a number of available methods that are frequently used to discover community structure of bipartite networks. These networks are categorized into two broad classes. One class is the methods that, first, transfer the network into a one-mode network, and then apply community detection algorithms. The other class is the algorithms that have been developed specifically for bipartite networks. These algorithms are applied on a model network with prescribed community structure. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=community%20detection" title="community detection">community detection</a>, <a href="https://publications.waset.org/abstracts/search?q=bipartite%20networks" title=" bipartite networks"> bipartite networks</a>, <a href="https://publications.waset.org/abstracts/search?q=co-clustering" title=" co-clustering"> co-clustering</a>, <a href="https://publications.waset.org/abstracts/search?q=modularity" title=" modularity"> modularity</a>, <a href="https://publications.waset.org/abstracts/search?q=network%20projection" title=" network projection"> network projection</a>, <a href="https://publications.waset.org/abstracts/search?q=complex%20networks" title=" complex networks"> complex networks</a> </p> <a href="https://publications.waset.org/abstracts/14451/comparing-community-detection-algorithms-in-bipartite-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/14451.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">625</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12471</span> Building Care Networks for Patients with Life-Limiting Illnesses: Perspectives from Health Care and Social Service Providers</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lindy%20Van%20Vliet">Lindy Van Vliet</a>, <a href="https://publications.waset.org/abstracts/search?q=Saloni%20Phadke"> Saloni Phadke</a>, <a href="https://publications.waset.org/abstracts/search?q=Anthea%20Nelson"> Anthea Nelson</a>, <a href="https://publications.waset.org/abstracts/search?q=Ann%20Gallant"> Ann Gallant</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Comprehensive and compassionate palliative care and support requires an integrated system of care that draws on formal health and social service providers working together with community and informal networks to ensure that patients and families have access to the care they need. The objective of this study is to further explore and understand the community supports, services, and informal networks that health care professionals and social service providers rely on to allow their patients to die in their homes and communities. Drawing on an interpretivist, exploratory, qualitative design, our multidisciplinary research team (medicine, nursing and social work) conducted interviews with 15 health care and social service providers in the Ottawa region. Interview data was audio-recorded, transcribed and analyzed using a reflexive thematic analysis approach. The data deepens our understandings of the facilitators and barriers that arise as health care and social service providers attempt to build networks of care for patients with life limiting illnesses and families. Three main findings emerged: First, the variability that arises due to systemic barriers in accessing and providing care; second, the exceptionally challenging workload that providers are facing as they work to address complex social care needs (housing, disability, food security), along with escalating palliative care needs; and, finally, the lack of structural support that providers and informal care networks receive. Conclusion: These findings will facilitate and build stronger person-centred/relationship-centred principles and practices between providers, patients, community, and informal care networks by highlighting the systemic barriers to accessing and providing person-centred care. Further, they will have important implications for future partnerships in integrated care delivery programs and initiatives, community policies, education programs, and provincial and national palliative care strategies. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=public%20health%20palliative%20care" title="public health palliative care">public health palliative care</a>, <a href="https://publications.waset.org/abstracts/search?q=palliative%20care%20nursing" title=" palliative care nursing"> palliative care nursing</a>, <a href="https://publications.waset.org/abstracts/search?q=care%20networks" title=" care networks"> care networks</a>, <a href="https://publications.waset.org/abstracts/search?q=informal%20care" title=" informal care"> informal care</a>, <a href="https://publications.waset.org/abstracts/search?q=integrated%20health%20care" title=" integrated health care"> integrated health care</a> </p> <a href="https://publications.waset.org/abstracts/157559/building-care-networks-for-patients-with-life-limiting-illnesses-perspectives-from-health-care-and-social-service-providers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/157559.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">96</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12470</span> SCANet: A Workflow for Single-Cell Co-Expression Based Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mhaned%20Oubounyt">Mhaned Oubounyt</a>, <a href="https://publications.waset.org/abstracts/search?q=Jan%20Baumbach"> Jan Baumbach</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Differences in co-expression networks between two or multiple cells (sub)types across conditions is a pressing problem in single-cell RNA sequencing (scRNA-seq). A key challenge is to define those co-variations that differ between or among cell types and/or conditions and phenotypes to examine small regulatory networks that can explain mechanistic differences. To this end, we developed SCANet, an all-in-one Python package that uses state-of-the-art algorithms to facilitate the workflow of a combined single-cell GCN (Gene Correlation Network) and GRN (Gene Regulatory Networks) pipeline, including inference of gene co-expression modules from scRNA-seq, followed by trait and cell type associations, hub gene detection, co-regulatory networks, and drug-gene interactions. In an example case, we illustrate how SCANet can be applied to identify regulatory drivers behind a cytokine storm associated with mortality in patients with acute respiratory illness. SCANet is available as a free, open-source, and user-friendly Python package that can be easily integrated into systems biology pipelines. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=single-cell" title="single-cell">single-cell</a>, <a href="https://publications.waset.org/abstracts/search?q=co-expression%20networks" title=" co-expression networks"> co-expression networks</a>, <a href="https://publications.waset.org/abstracts/search?q=drug-gene%20interactions" title=" drug-gene interactions"> drug-gene interactions</a>, <a href="https://publications.waset.org/abstracts/search?q=co-regulatory%20networks" title=" co-regulatory networks"> co-regulatory networks</a> </p> <a href="https://publications.waset.org/abstracts/161853/scanet-a-workflow-for-single-cell-co-expression-based-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/161853.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">150</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12469</span> Medical Knowledge Management since the Integration of Heterogeneous Data until the Knowledge Exploitation in a Decision-Making System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nadjat%20Zerf%20Boudjettou">Nadjat Zerf Boudjettou</a>, <a href="https://publications.waset.org/abstracts/search?q=Fahima%20Nader"> Fahima Nader</a>, <a href="https://publications.waset.org/abstracts/search?q=Rachid%20Chalal"> Rachid Chalal</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Knowledge management is to acquire and represent knowledge relevant to a domain, a task or a specific organization in order to facilitate access, reuse and evolution. This usually means building, maintaining and evolving an explicit representation of knowledge. The next step is to provide access to that knowledge, that is to say, the spread in order to enable effective use. Knowledge management in the medical field aims to improve the performance of the medical organization by allowing individuals in the care facility (doctors, nurses, paramedics, etc.) to capture, share and apply collective knowledge in order to make optimal decisions in real time. In this paper, we propose a knowledge management approach based on integration technique of heterogeneous data in the medical field by creating a data warehouse, a technique of extracting knowledge from medical data by choosing a technique of data mining, and finally an exploitation technique of that knowledge in a case-based reasoning system. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=data%20warehouse" title="data warehouse">data warehouse</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20mining" title=" data mining"> data mining</a>, <a href="https://publications.waset.org/abstracts/search?q=knowledge%20discovery%20in%20database" title=" knowledge discovery in database"> knowledge discovery in database</a>, <a href="https://publications.waset.org/abstracts/search?q=KDD" title=" KDD"> KDD</a>, <a href="https://publications.waset.org/abstracts/search?q=medical%20knowledge%20management" title=" medical knowledge management"> medical knowledge management</a>, <a href="https://publications.waset.org/abstracts/search?q=Bayesian%20networks" title=" Bayesian networks"> Bayesian networks</a> </p> <a href="https://publications.waset.org/abstracts/14543/medical-knowledge-management-since-the-integration-of-heterogeneous-data-until-the-knowledge-exploitation-in-a-decision-making-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/14543.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">395</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12468</span> Knowledge Management Best Practice Model in Higher Learning Institution: A Systematic Literature Review </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ismail%20Halijah">Ismail Halijah</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdullah%20Rusli"> Abdullah Rusli</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: This systematic literature review aims to identify the Knowledge Management Best Practice components in the Knowledge Management Model for Higher Learning Institutions environment. Study design: Systematic literature review. Methods: A systematic literature re-view of Knowledge Management Best Practice to identify and define the components of Best Practice from the Knowledge Management models was conducted recently. Results: This review of published papers of conference and journals’ articles shows the components of Best Practice in Knowledge Management are basically divided into two aspect which is the soft aspect and the hard aspect. The lacks of combination of these two aspects into an integrated model decelerate Knowledge Management Best Practice to fully throttle. Evidence from the literature shows the lack of integration of this two aspects leads to the immaturity of the Higher Learning Institution (HLI) towards the implementation of Knowledge Management System. Conclusion: The first steps of identifying the attributes to measure the Knowledge Management Best Practice components from the models in the literature will led to the definition of the Knowledge Management Best Practice component for the higher learning environment. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=knowledge%20management" title="knowledge management">knowledge management</a>, <a href="https://publications.waset.org/abstracts/search?q=knowledge%20management%20system" title=" knowledge management system"> knowledge management system</a>, <a href="https://publications.waset.org/abstracts/search?q=knowledge%20management%20best%20practice" title=" knowledge management best practice"> knowledge management best practice</a>, <a href="https://publications.waset.org/abstracts/search?q=knowledge%20management%20higher%20learning%20institution" title=" knowledge management higher learning institution"> knowledge management higher learning institution</a> </p> <a href="https://publications.waset.org/abstracts/35972/knowledge-management-best-practice-model-in-higher-learning-institution-a-systematic-literature-review" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/35972.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">592</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12467</span> Knowledge Representation Based on Interval Type-2 CFCM Clustering</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lee%20Myung-Won">Lee Myung-Won</a>, <a href="https://publications.waset.org/abstracts/search?q=Kwak%20Keun-Chang"> Kwak Keun-Chang </a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper is concerned with knowledge representation and extraction of fuzzy if-then rules using Interval Type-2 Context-based Fuzzy C-Means clustering (IT2-CFCM) with the aid of fuzzy granulation. This proposed clustering algorithm is based on information granulation in the form of IT2 based Fuzzy C-Means (IT2-FCM) clustering and estimates the cluster centers by preserving the homogeneity between the clustered patterns from the IT2 contexts produced in the output space. Furthermore, we can obtain the automatic knowledge representation in the design of Radial Basis Function Networks (RBFN), Linguistic Model (LM), and Adaptive Neuro-Fuzzy Networks (ANFN) from the numerical input-output data pairs. We shall focus on a design of ANFN in this paper. The experimental results on an estimation problem of energy performance reveal that the proposed method showed a good knowledge representation and performance in comparison with the previous works. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=IT2-FCM" title="IT2-FCM">IT2-FCM</a>, <a href="https://publications.waset.org/abstracts/search?q=IT2-CFCM" title=" IT2-CFCM"> IT2-CFCM</a>, <a href="https://publications.waset.org/abstracts/search?q=context-based%20fuzzy%20clustering" title=" context-based fuzzy clustering"> context-based fuzzy clustering</a>, <a href="https://publications.waset.org/abstracts/search?q=adaptive%20neuro-fuzzy%20network" title=" adaptive neuro-fuzzy network"> adaptive neuro-fuzzy network</a>, <a href="https://publications.waset.org/abstracts/search?q=knowledge%20representation" title=" knowledge representation"> knowledge representation</a> </p> <a href="https://publications.waset.org/abstracts/28945/knowledge-representation-based-on-interval-type-2-cfcm-clustering" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/28945.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">321</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12466</span> Performance Comparison of Outlier Detection Techniques Based Classification in Wireless Sensor Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ayadi%20Aya">Ayadi Aya</a>, <a href="https://publications.waset.org/abstracts/search?q=Ghorbel%20Oussama"> Ghorbel Oussama</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Obeid%20Abdulfattah"> M. Obeid Abdulfattah</a>, <a href="https://publications.waset.org/abstracts/search?q=Abid%20Mohamed"> Abid Mohamed</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Nowadays, many wireless sensor networks have been distributed in the real world to collect valuable raw sensed data. The challenge is to extract high-level knowledge from this huge amount of data. However, the identification of outliers can lead to the discovery of useful and meaningful knowledge. In the field of wireless sensor networks, an outlier is defined as a measurement that deviates from the normal behavior of sensed data. Many detection techniques of outliers in WSNs have been extensively studied in the past decade and have focused on classic based algorithms. These techniques identify outlier in the real transaction dataset. This survey aims at providing a structured and comprehensive overview of the existing researches on classification based outlier detection techniques as applicable to WSNs. Thus, we have identified key hypotheses, which are used by these approaches to differentiate between normal and outlier behavior. In addition, this paper tries to provide an easier and a succinct understanding of the classification based techniques. Furthermore, we identified the advantages and disadvantages of different classification based techniques and we presented a comparative guide with useful paradigms for promoting outliers detection research in various WSN applications and suggested further opportunities for future research. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bayesian%20networks" title="bayesian networks">bayesian networks</a>, <a href="https://publications.waset.org/abstracts/search?q=classification-based%20approaches" title=" classification-based approaches"> classification-based approaches</a>, <a href="https://publications.waset.org/abstracts/search?q=KPCA" title=" KPCA"> KPCA</a>, <a href="https://publications.waset.org/abstracts/search?q=neural%20networks" title=" neural networks"> neural networks</a>, <a href="https://publications.waset.org/abstracts/search?q=one-class%20SVM" title=" one-class SVM"> one-class SVM</a>, <a href="https://publications.waset.org/abstracts/search?q=outlier%20detection" title=" outlier detection"> outlier detection</a>, <a href="https://publications.waset.org/abstracts/search?q=wireless%20sensor%20networks" title=" wireless sensor networks"> wireless sensor networks</a> </p> <a href="https://publications.waset.org/abstracts/66531/performance-comparison-of-outlier-detection-techniques-based-classification-in-wireless-sensor-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/66531.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">496</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12465</span> Design of a Rectifier with Enhanced Efficiency and a High-gain Antenna for Integrated and Compact-size Rectenna Circuit</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rawaa%20Maher">Rawaa Maher</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20Allam"> Ahmed Allam</a>, <a href="https://publications.waset.org/abstracts/search?q=Haruichi%20Kanaya"> Haruichi Kanaya</a>, <a href="https://publications.waset.org/abstracts/search?q=Adel%20B.%20Abdelrahman"> Adel B. Abdelrahman</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, a compact, high-efficiency integrated rectenna is presented to operate in the 2.45 GHz band. A comparison between two rectifier topologies is performed to verify the benefits of removing the matching network from the rectifier. A rectifier high conversion efficiency of 74.1% is achieved. To complete the rectenna system, a novel omnidirectional antenna with high gain (3.72 dB) and compact size (25 mm * 29 mm) is designed and fabricated. The same antenna is used with a reflector for raising the gain to nearly 8.3 dB. The simulation and measurement results of the antenna are in good agreement. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=internet%20of%20things" title="internet of things">internet of things</a>, <a href="https://publications.waset.org/abstracts/search?q=integrated%20rectenna" title=" integrated rectenna"> integrated rectenna</a>, <a href="https://publications.waset.org/abstracts/search?q=rectenna" title=" rectenna"> rectenna</a>, <a href="https://publications.waset.org/abstracts/search?q=RF%20energy%20harvesting" title=" RF energy harvesting"> RF energy harvesting</a>, <a href="https://publications.waset.org/abstracts/search?q=wireless%20sensor%20networks%28WSN%29" title=" wireless sensor networks(WSN)"> wireless sensor networks(WSN)</a> </p> <a href="https://publications.waset.org/abstracts/146075/design-of-a-rectifier-with-enhanced-efficiency-and-a-high-gain-antenna-for-integrated-and-compact-size-rectenna-circuit" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/146075.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">182</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12464</span> Review on Application of DVR in Compensation of Voltage Harmonics in Power Systems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20Sudhharani">S. Sudhharani</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Energy distribution networks are the main link between the energy industry and consumers and are subject to the most scrutiny and testing of any category. As a result, it is important to monitor energy levels during the distribution phase. Power distribution networks, on the other hand, remain subject to common problems, including voltage breakdown, power outages, harmonics, and capacitor switching, all of which disrupt sinusoidal waveforms and reduce the quality and power of the network. Using power appliances in the form of custom power appliances is one way to deal with energy quality issues. Dynamic Voltage Restorer (DVR), integrated with network and distribution networks, is one of these devices. At the same time, by injecting voltage into the system, it can adjust the voltage amplitude and phase in the network. In the form of injections and three-phase syncing, it is used to compensate for the difficulty of energy quality. This article examines the recent use of DVR for power compensation and provides data on the control of each DVR in distribution networks. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=dynamic%20voltage%20restorer%20%28DVR%29" title="dynamic voltage restorer (DVR)">dynamic voltage restorer (DVR)</a>, <a href="https://publications.waset.org/abstracts/search?q=power%20quality" title=" power quality"> power quality</a>, <a href="https://publications.waset.org/abstracts/search?q=distribution%20networks" title=" distribution networks"> distribution networks</a>, <a href="https://publications.waset.org/abstracts/search?q=control%20systems%28PWM%29" title=" control systems(PWM)"> control systems(PWM)</a> </p> <a href="https://publications.waset.org/abstracts/149814/review-on-application-of-dvr-in-compensation-of-voltage-harmonics-in-power-systems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/149814.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">136</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12463</span> Towards Developing a Strategic Framework for Sustainable Knowledge Economy</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hamid%20Alalwany">Hamid Alalwany</a>, <a href="https://publications.waset.org/abstracts/search?q=Nabeel%20A.%20Koshak"> Nabeel A. Koshak</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20K.%20Ibrahim"> Mohammad K. Ibrahim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Both knowledge economy and sustainable development are considered key dimensions in the policy action lines of many developed and developing countries. In this context, universities and other higher education institutes have a vital role in developing and sustaining wellbeing communities. In this paper, the authors’ aim is to address the links between the concepts of innovation and entrepreneurial capacity and knowledge economy, and to utilize the approach of intellectual capital development in building a sustainable knowledge economy. The paper will contribute to two discourses: (1) Developing a common understanding of the intersection aspects between the three concepts: Knowledge economy, Innovation and entrepreneurial system, and sustainable development; (2) Paving the road towards developing an integrated multidimensional framework for sustainable knowledge economy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=innovation%20and%20entrepreneurial%20capacity" title="innovation and entrepreneurial capacity">innovation and entrepreneurial capacity</a>, <a href="https://publications.waset.org/abstracts/search?q=intellectual%20capital%20development" title=" intellectual capital development"> intellectual capital development</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable%20development" title=" sustainable development"> sustainable development</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable%20knowledge%20economy." title=" sustainable knowledge economy."> sustainable knowledge economy.</a> </p> <a href="https://publications.waset.org/abstracts/11936/towards-developing-a-strategic-framework-for-sustainable-knowledge-economy" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/11936.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">533</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12462</span> Antecedents of Knowledge Sharing: Investigating the Influence of Knowledge Sharing Factors towards Postgraduate Research Supervision</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Arash%20Khosravi">Arash Khosravi</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohamad%20Nazir%20Ahmad"> Mohamad Nazir Ahmad </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Today’s economy is a knowledge-based economy in which knowledge is a crucial facilitator to individuals, as well as being an instigator of success. Due to the impact of globalization, universities face new challenges and opportunities. Accordingly, they ought to be more innovative and have their own competitive advantages. One of the most important goals of universities is the promotion of students as professional knowledge workers. Therefore, knowledge sharing and transferring at tertiary level between students and supervisors is vital in universities, as it decreases the budget and provides an affordable way of doing research. Knowledge-sharing impact factors can be categorized into three groups, namely: organizational, individual and technical factors. There are some individual barriers to knowledge sharing, namely: lack of time and trust, lack of communication skills and social networks. IT systems such as e-learning, blogs and portals can increase knowledge sharing capability. However, it must be stated that IT systems are only tools and not solutions. Individuals are still responsible for sharing information and knowledge. This paper proposes new research model to examine the effect of individual factors and organisational factors, namely: learning strategy, trust culture, supervisory support, as well as technological factor on knowledge sharing in a research supervision process at the University of Technology Malaysia. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=knowledge%20management" title="knowledge management">knowledge management</a>, <a href="https://publications.waset.org/abstracts/search?q=knowledge%20sharing" title=" knowledge sharing"> knowledge sharing</a>, <a href="https://publications.waset.org/abstracts/search?q=research%20supervision" title=" research supervision"> research supervision</a>, <a href="https://publications.waset.org/abstracts/search?q=knowledge%20transferring" title=" knowledge transferring"> knowledge transferring</a> </p> <a href="https://publications.waset.org/abstracts/7312/antecedents-of-knowledge-sharing-investigating-the-influence-of-knowledge-sharing-factors-towards-postgraduate-research-supervision" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/7312.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">445</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12461</span> Enhancing Knowledge Graph Convolutional Networks with Structural Adaptive Receptive Fields for Improved Node Representation and Information Aggregation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zheng%20Zhihao">Zheng Zhihao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Recently, Knowledge Graph Framework Network (KGCN) has developed powerful capabilities in knowledge representation and reasoning tasks. However, traditional KGCN often uses a fixed weight mechanism when aggregating information, failing to make full use of rich structural information, resulting in a certain expression ability of node representation, and easily causing over-smoothing problems. In order to solve these challenges, the paper proposes an new graph neural network model called KGCN-STAR (Knowledge Graph Convolutional Network with Structural Adaptive Receptive Fields). This model dynamically adjusts the perception of each node by introducing a structural adaptive receptive field. wild range, and a subgraph aggregator is designed to capture local structural information more effectively. Experimental results show that KGCN-STAR shows significant performance improvement on multiple knowledge graph data sets, especially showing considerable capabilities in the task of representation learning of complex structures. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=knowledge%20graph" title="knowledge graph">knowledge graph</a>, <a href="https://publications.waset.org/abstracts/search?q=graph%20neural%20networks" title=" graph neural networks"> graph neural networks</a>, <a href="https://publications.waset.org/abstracts/search?q=structural%20adaptive%20receptive%20fields" title=" structural adaptive receptive fields"> structural adaptive receptive fields</a>, <a href="https://publications.waset.org/abstracts/search?q=information%20aggregation" title=" information aggregation"> information aggregation</a> </p> <a href="https://publications.waset.org/abstracts/191048/enhancing-knowledge-graph-convolutional-networks-with-structural-adaptive-receptive-fields-for-improved-node-representation-and-information-aggregation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/191048.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">33</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12460</span> Integrated HIV Prevention and Sexual and Reproductive Health Services Among Adolescent Girls and Young Women in Rwanda: Knowledge, Attitudes, and Practices Survey.</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nsenga%20Bakinahe">Nsenga Bakinahe</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Adolescent girls and young women (AGYW) globally and, particularly in Rwanda, face significant challenges related to HIV prevention and sexual and reproductive health (SRH). Rwanda has a young population, with 65.3% below 30 years of age, demonstrating a need for SRH promotion and HIV prevention for this population. We aimed to determine the knowledge, attitudes, and practices (KAP) of integrated HIV prevention and SRH services among AGYW in Rwanda. Methodology: We conducted a cross-sectional survey among 384 AGYW aged 15-24 years who had ever been pregnant and currently reside in Nyagatare district, Eastern Rwanda from January to April 2023. A questionnaire was developed to collect data, participants were randomly selected and data were collected by one-on-one interviews and were analyzed using SPSS V21. The statistical relationship between variables was significant at P-Value of 0.05 and 95% confidence interval. Results: The majority (97.9%) of respondents demonstrated a good level of knowledge, (52.2%) of the respondents had positive attitudes towards integrated HIV prevention and SRH services. Looking at the practice of integrated HIV prevention and SRH services use, 51.4% of respondents have a low level of practice. The practice of integrated HIV prevention and SRH services was significantly associated with school drop-out and family status (P>0.05). Conclusion: The findings from these studies collectively emphasize the need for comprehensive education, targeted interventions, and community-based support to achieve better health outcomes regarding HIV prevention and overall sexual and reproductive health among adolescent girls and young women. Empowering adolescent girls and young women with accurate information and comprehensive support will enable them to make informed decisions, protect their health effectively, and contribute to reducing the burden of HIV and improving sexual and reproductive health outcomes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=integrated%20HIV%20prevention" title="integrated HIV prevention">integrated HIV prevention</a>, <a href="https://publications.waset.org/abstracts/search?q=sexual%20and%20reproductive%20health%20services" title=" sexual and reproductive health services"> sexual and reproductive health services</a>, <a href="https://publications.waset.org/abstracts/search?q=among%20adolescentes%20girls" title=" among adolescentes girls"> among adolescentes girls</a>, <a href="https://publications.waset.org/abstracts/search?q=and%20young%20women" title=" and young women"> and young women</a> </p> <a href="https://publications.waset.org/abstracts/186363/integrated-hiv-prevention-and-sexual-and-reproductive-health-services-among-adolescent-girls-and-young-women-in-rwanda-knowledge-attitudes-and-practices-survey" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/186363.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">51</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12459</span> CoP-Networks: Virtual Spaces for New Faculty’s Professional Development in the 21st Higher Education </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Eman%20AbuKhousa">Eman AbuKhousa</a>, <a href="https://publications.waset.org/abstracts/search?q=Marwan%20Z.%20Bataineh"> Marwan Z. Bataineh </a> </p> <p class="card-text"><strong>Abstract:</strong></p> The 21<sup>st</sup> century higher education and globalization challenge new faculty members to build effective professional networks and partnership with industry in order to accelerate their growth and success. This creates the need for community of practice (CoP)-oriented development approaches that focus on cognitive apprenticeship while considering individual predisposition and future career needs. This work adopts data mining, clustering analysis, and social networking technologies to present the CoP-Network as a virtual space that connects together similar career-aspiration individuals who are socially influenced to join and engage in a process for domain-related knowledge and practice acquisitions. The CoP-Network model can be integrated into higher education to extend traditional graduate and professional development programs. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=clustering%20analysis" title="clustering analysis">clustering analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=community%20of%20practice" title=" community of practice"> community of practice</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20mining" title=" data mining"> data mining</a>, <a href="https://publications.waset.org/abstracts/search?q=higher%20education" title=" higher education"> higher education</a>, <a href="https://publications.waset.org/abstracts/search?q=new%20faculty%20challenges" title=" new faculty challenges"> new faculty challenges</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20network" title=" social network"> social network</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20influence" title=" social influence"> social influence</a>, <a href="https://publications.waset.org/abstracts/search?q=professional%20development" title=" professional development"> professional development</a> </p> <a href="https://publications.waset.org/abstracts/83397/cop-networks-virtual-spaces-for-new-facultys-professional-development-in-the-21st-higher-education" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/83397.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">183</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12458</span> A Case from China on the Situation of Knowledge Management in Government</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Qiaoyun%20Yang">Qiaoyun Yang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Organizational scholars have paid enormous attention on how local governments manage their knowledge during the past two decades. Government knowledge management (KM) research recognizes that the management of knowledge flows and networks is critical to reforms on government service efficiency and the effect of administration. When dealing with complex affairs, all the limitations resulting from a lack of KM concept, processes and technologies among all the involved organizations begin to be exposed and further compound the processing difficulty of the affair. As a result, the challenges for individual or group knowledge sharing, knowledge digging and organizations’ collaboration in government's activities are diverse and immense. This analysis presents recent situation of government KM in China drawing from a total of more than 300 questionnaires and highlights important challenges that remain. The causes of the lapses in KM processes within and across the government agencies are discussed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=KM%20processes" title="KM processes">KM processes</a>, <a href="https://publications.waset.org/abstracts/search?q=KM%20technologies" title=" KM technologies"> KM technologies</a>, <a href="https://publications.waset.org/abstracts/search?q=government" title=" government"> government</a>, <a href="https://publications.waset.org/abstracts/search?q=KM%20situation" title=" KM situation"> KM situation</a> </p> <a href="https://publications.waset.org/abstracts/67316/a-case-from-china-on-the-situation-of-knowledge-management-in-government" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/67316.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge 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