Academic literature on the topic 'Advice systems'

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Journal articles on the topic "Advice systems"

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Mital, V. "Knowledge systems for financial advice." Knowledge Engineering Review 7, no. 3 (September 1992): 215–49. http://dx.doi.org/10.1017/s0269888900006354.

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AbstractThe financial domain has seen considerable knowledge Systems activity. Some of the efforts have resulted in deployable Systems, but many others have met with much less success. Commentators have attempted to discern broad, universal indicators which explain or predict success. More recently, however, it has become clearer that a principal cause of the difficultes encountered is the incongruence between the real world task and the System architecture employed by developers. Proceeding from the latter perspective, this paper concerns itself with knowledge Systems for the provision of investment related financial advice. The various tasks involved are differentiated and correlated to the System architectures employed by developers. It is seen that while simple rulebased Systems suffice for some tasks, others indicate the need for techniques such as Case-Based Design.
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van der Wees, J. G. L. "Juricas: Legal computer advice systems." Artificial Intelligence and Law 1, no. 4 (December 1992): 275–90. http://dx.doi.org/10.1007/bf00186724.

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Beyersdorff, Olaf, Johannes Köbler, and Sebastian Müller. "Proof systems that take advice." Information and Computation 209, no. 3 (March 2011): 320–32. http://dx.doi.org/10.1016/j.ic.2010.11.006.

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Kosheleva, Olga, and Vladik Kreinovich. "Advice to new instructors: systems approach." Mathematical Structures and Modeling, no. 3 (55) (December 4, 2020): 123–26. http://dx.doi.org/10.24147/2222-8772.2020.3.123-126.

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A recent paper provided useful system-based approach to new school teachers. In this paper, we somewhat modify this advice so that it can be applied to new instructors on all levels, including new instructors at the university level.
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Flynn, Allen J. "Theory of advice as an information object targeted at an unmade decision." Journal of Documentation 76, no. 1 (September 2, 2019): 212–30. http://dx.doi.org/10.1108/jd-05-2019-0099.

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Purpose The purpose of this paper is to advance an understanding of the concept of advice and its relationship to documents, information and knowledge. Design/methodology/approach A conceptual analysis of a sample of 48 relevant advice studies and two books, directly informed by documentation and information theories, was conducted to find out how researchers have approached advice conceptually since 1940. Further gains in understanding advice came from analyzing its relationship with environmental uncertainty. Findings Researchers have studied advice in the context of human-human, machine-machine and information and communication technology-intermediated interactions. Advice has been conceptualized and categorized in many different ways. Over time, conceptualizations of advice have broadened and become more general. In this light, it is theorized that advice is as an information object targeted at an unmade decision. This conceptualization of advice permits situated and momentary advice documents. A newly developed content-based framework of advice leads to an advice typology with four content-based categories of best possible advice: correct answers, probabilities, possibilities, and acknowledgments of the unknown. Research limitations/implications The refined advice theory, content-based advice framework and related typology of advice contributed here are small steps toward improved clarity about the nature of advice. These findings are limited in their focus to advice theory and advice categorization. Practical implications Scholars, practitioners and information system developers may reconsider advice theory and make use of the content-based framework and related advice typology in their work. These contributions will help advice-givers and the developers of advice-giving information systems and advice networks to provide better advice. Originality/value This paper fills a need for a clear and straightforward overall conceptualization of advice that accounts for advice documents and is informed by how advice has been previously conceptualized in multiple scientific fields.
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Gaston, Nicola. "Free up systems for funding and advice." Nature 508, no. 7494 (April 2014): 44. http://dx.doi.org/10.1038/508044b.

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Panou, Konstantinos, Panos Tzieropoulos, and Daniel Emery. "Railway driver advice systems: Evaluation of methods, tools and systems." Journal of Rail Transport Planning & Management 3, no. 4 (November 2013): 150–62. http://dx.doi.org/10.1016/j.jrtpm.2013.10.005.

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Maier, David, Rachel Pottinger, AnHai Doan, Eduard Dragut, Bill Howe, Joanne Lateulere, John Lateulere, et al. "Advice from SIGMOD/PODS 2020." ACM SIGMOD Record 49, no. 3 (December 17, 2020): 43–54. http://dx.doi.org/10.1145/3444831.3444841.

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Monereo, Carles. "Guidance systems, advice and counseling in school integration." Educar 8 (July 1, 1985): 71. http://dx.doi.org/10.5565/rev/educar.493.

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Traynor, Kate. "FDA seeks advice on track-and-trace systems." American Journal of Health-System Pharmacy 68, no. 7 (April 1, 2011): 552–54. http://dx.doi.org/10.2146/news110020.

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Dissertations / Theses on the topic "Advice systems"

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Wolstenholme, David Edwin. "External data in logic-based advice systems." Thesis, Imperial College London, 1990. http://hdl.handle.net/10044/1/46612.

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Baird, Jo-Anne. "The effects of explanations on acceptance of 'machine' advice." Thesis, University of Reading, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.287663.

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Walton, Robert Thompson. "Computerised decision support systems to give advice to doctors about drug therapy." Thesis, Queen Mary, University of London, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.287572.

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Shen, Yan 1954. "ADVICE: AN EXPERT SYSTEM TO HELP EVALUATE GRADUATE STUDY PLANS OF SYSTEMS & INDUSTRIAL ENGINEERING STUDENTS." Thesis, The University of Arizona, 1986. http://hdl.handle.net/10150/291320.

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Lee, Changheon. "Dynamics of Advice Network and Knowledge Contribution: A Longitudinal Social Network Analysis." Diss., The University of Arizona, 2012. http://hdl.handle.net/10150/243117.

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Online communities have become an increasingly popular channel for social interaction, enabling knowledge and opinion sharing across a board range of topics and contexts. Their viability and sustainability depends largely on contributions from community members in terms of time, resources, and knowledge. However, how individuals' knowledge contribution behavior changes over time and what network structural characteristics influence individuals' contribution behavior is not well understood. This study investigates "co-evolution" of social networks (i.e. advice network) and knowledge contribution behavior thorough a lens of social selection and social influence mechanism. This study are particularly interested in examining the dynamics of the advice network ties and the knowledge contribution behavior in the context of virtual financial communities in which people voluntarily participate to exchanges investing-related information. Unlike popular friendship-based online social networks, virtual financial communities in this study enables members to construct their own advice network by adding, maintaining, or terminating advice ties. Changes in network ties are referred to as social selection, while changes in individuals' behavior in response to the current network position are referred to as social influence. Dynamic network modeling is applied to investigate effects of social selection and influence separately and then examine the interplay between social selection and behavioral influence. Examination of such effects both separately and simultaneously requires a longitudinal data that capture dynamic changes in both the advice ties and the behavior under study.
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Schefe, Neville Lindsay. "The systematic improvement of advice given by public sector call centres." Thesis, Queensland University of Technology, 2006. https://eprints.qut.edu.au/16279/1/Neville_Schefe_Thesis.pdf.

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The persistent demand for increased accountability and value for money in the public sector from both the public and governments raises the issue of quality of service in advice-giving by governmental agencies. The goal of this study is to develop a model to validate frameworks able to contribute to improved advice-giving through the application of knowledge management principles. Zack's (2001) Four Knowledge Problem Model, Brogowicz, Delene, and Lyth's (1990) Synthesised Service Quality Model, and Markus's (2001) Theory of Knowledge Reuse are used to examine knowledge strategies in advice-giving through the application of a case study methodology. Two Queensland public-sector call centres are investigated. This study confirms that although the studied call centres operate under differing business drivers, agents have developed strategies generally consistent with those suggested by Zack (2001) to deal with uncertain, complex, and ambiguous problem types. No equivocal problems were encountered in the study. The solution of the former problem pair of uncertainty and complexity relies on knowledge that is codified and stored in databases, while the latter equivocality and ambiguity, seeks out experts who apply both technical and functional knowledge to the problem resolution. Roles performed by call-centre agents predominantly align with those described by Markus (2001), with the opportunity to enhance performance through contribution by shared-work producers to knowledge repositories. The problem-solving strategies employed by agents and the technical capabilities of the call centres combine to deliver a level of service quality which, although meeting client expectations, has been able to be improved through the application of knowledge strategies targeting efficient problem resolution through knowledge reuse.
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Schefe, Neville Lindsay. "The systematic improvement of advice given by public sector call centres." Queensland University of Technology, 2006. http://eprints.qut.edu.au/16279/.

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The persistent demand for increased accountability and value for money in the public sector from both the public and governments raises the issue of quality of service in advice-giving by governmental agencies. The goal of this study is to develop a model to validate frameworks able to contribute to improved advice-giving through the application of knowledge management principles. Zack's (2001) Four Knowledge Problem Model, Brogowicz, Delene, and Lyth's (1990) Synthesised Service Quality Model, and Markus's (2001) Theory of Knowledge Reuse are used to examine knowledge strategies in advice-giving through the application of a case study methodology. Two Queensland public-sector call centres are investigated. This study confirms that although the studied call centres operate under differing business drivers, agents have developed strategies generally consistent with those suggested by Zack (2001) to deal with uncertain, complex, and ambiguous problem types. No equivocal problems were encountered in the study. The solution of the former problem pair of uncertainty and complexity relies on knowledge that is codified and stored in databases, while the latter equivocality and ambiguity, seeks out experts who apply both technical and functional knowledge to the problem resolution. Roles performed by call-centre agents predominantly align with those described by Markus (2001), with the opportunity to enhance performance through contribution by shared-work producers to knowledge repositories. The problem-solving strategies employed by agents and the technical capabilities of the call centres combine to deliver a level of service quality which, although meeting client expectations, has been able to be improved through the application of knowledge strategies targeting efficient problem resolution through knowledge reuse.
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Emery, Jonathan D. "The development and evaluation of computer support for cancer genetic advice in primary care." Thesis, University of Oxford, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.342588.

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Brooks, Gordon John. "The evaluation and enhancement of case driven diagnostic advice systems : a study in three domains." Thesis, University College London (University of London), 1993. http://discovery.ucl.ac.uk/1317709/.

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Relevant literature has been reviewed regarding the performance, implementation and evaluation of computer based medical decision support systems. The diagnostic performance of five simple case driven acute chest pain advice systems, have been compared using a standardized set of clinical records. A Bayesian inference model demonstrated superiority over two derived by logistic regression. Small data set flow charts performed well but both relied upon the use of expert opinion. A Bayesian acute abdominal pain diagnostic advice system has been evaluated in a clinical trial. Standardized data collection improved the diagnostic performance of doctors. In practice, the computer system offered little additional user benefit. From further tests in primary care, it was concluded that, whereas general practitioners might enhance their performance by using data collection sheets, paramedics might benefit through direct use of the computer. DERMIS is a new dermatology primary care diagnostic advice system. Components include a database derived from 5203 prospectively collected clinical records, a user interface, and an enhanced Bayesian inference model incorporating combined frequency estimates, expert beliefs and rationalized end-point groups. On laboratory testing, the diagnostic accuracy of DERMIS was 83%. The correct diagnosis appeared in the top three, of a possible 42 disease list on 97% of occasions. In a semi-field trial of DERMIS involving 49 general practitioners, doctors did not always collect the same information as a dermatologist but were able to significantly increase their chance of making a correct diagnosis through use of the computer system. It has been concluded that although implementation of DERMIS might well increase general practitioner diagnostic accuracy and lead to improvements in the management of skin disease in primary care, rates of referral for specialist opinion might not be affected unless standard management plans are adopted.
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Poorkavoos, Meysam. "The Effects of Technical-Advice Networks on Individual Adaptation to IT‑Induced Change." Thesis, Växjö University, School of Mathematics and Systems Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-5729.

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One of the most important conditions for effective performance and successful business operation is effective use of IT by organization members. Because of this demand in organizations, adaptation to IT-induced changes is one of the important challenges that organizations face with it. Technical-advice network has been used in order to better understand the effects of interpersonal communications on employee’s adaptation to IT-induced changes. In the other words the main focus of this research is to understand the effects of technical-advice network on individual IT-adaptation.

The research is carried out by the survey method in a unit of an organization with 51 employees. Two structural characteristics of the network have been examined as antecedents to adaptability. The results of study show that the strength of ties and density of network have positive effects on individual adaptation to IT-induced change. The research provided interesting results about the effects of technical-advice networks on individual adaptation to IT-induced changes.

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Books on the topic "Advice systems"

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Caro, Mike. Caro's most profitable hold'em advice: The complete missing arsenal. New York, N.Y: Cardoza Pub, 2007.

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Steele, Jane. Information management in advice centres. London: Policy Studies Institute, 1991.

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service), SpringerLink (Online, ed. Analysis and Design of Advice. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.

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Dawson, P. M. B. Expert systems and the public provision of welfare benefit advice. Edinburgh: University of Edinburgh. Department of Business Studies, 1988.

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Musen, Mark A. Generation of model-based knowledge-acquisition tools for clinical-trial advice systems. Stanford, Calif: Dept. of Computer Science, Stanford University, 1988.

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The underground guide to UNIX: Slightly askew advice from a UNIX guru. Reading, Mass: Addison-Wesley, 1995.

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The underground guide to Windows 95: Slightly askew advice from a Windows wizard. Reading, Mass: Addison-Wesley Pub. Co., 1996.

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Craig, Lynn. A business guide to the year 2000: Step-by-step advice for the smaller enterprise. Cambridge: Cambridge Publisherson behalf of the Year 2000 Support Centre, 1997.

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Looking into intranets and the Internet: Advice for managers. New York: AMACOM, 1997.

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Ross, John. The underground guide to Microsoft Internet Assistant: Slightly askew advice on mastering the Web with WinWord. Reading, Mass: Addison-Wesley, 1996.

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Book chapters on the topic "Advice systems"

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Plumbaum, Till, and Benjamin Kille. "Personalized Fashion Advice." In Smart Information Systems, 213–37. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14178-7_8.

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Miller, Avery, and Andrzej Pelc. "Fast Rendezvous with Advice." In Algorithms for Sensor Systems, 75–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-46018-4_5.

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Oliveira, Eugénio, and Luís Nunes. "Learning by Exchanging Advice." In Design of Intelligent Multi-Agent Systems, 279–313. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-44516-6_9.

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Kosheleva, Olga, and Vladik Kreinovich. "Lev Landau’s Marital Advice Explained." In Studies in Systems, Decision and Control, 207–10. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-16415-6_31.

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Costa, Nuno, Davide Carneiro, Paulo Novais, Diovana Barbieri, and Francisco Andrade. "An Advice System for Consumer’s Law Disputes." In Enterprise Information Systems, 237–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19802-1_17.

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Paolucci, M., D. Suthers, and A. Weiner. "Automated advice-giving strategies for scientific inquiry." In Intelligent Tutoring Systems, 372–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/3-540-61327-7_135.

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Whitelock, Denise. "Advice for Action with Automatic Feedback Systems." In Lecture Notes on Data Engineering and Communications Technologies, 139–60. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-68318-8_7.

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Wees, J. G. L. "Maintenance of JURICAS legal computer advice systems." In Lecture Notes in Computer Science, 349–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/3-540-58435-8_199.

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Debenham, John, and Carles Sierra. "Agent Argumentation with Opinions and Advice." In Research and Development in Intelligent Systems XXVII, 21–34. London: Springer London, 2010. http://dx.doi.org/10.1007/978-0-85729-130-1_2.

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Azar, Mohammad Gheshlaghi, Alessandro Lazaric, and Emma Brunskill. "Regret Bounds for Reinforcement Learning with Policy Advice." In Advanced Information Systems Engineering, 97–112. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40988-2_7.

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Conference papers on the topic "Advice systems"

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Murray, Hazel, and David Malone. "Evaluating password advice." In 2017 28th Irish Signals and Systems Conference (ISSC). IEEE, 2017. http://dx.doi.org/10.1109/issc.2017.7983609.

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Ehrlich, Kate, Susanna E. Kirk, John Patterson, Jamie C. Rasmussen, Steven I. Ross, and Daniel M. Gruen. "Taking advice from intelligent systems." In the 15th international conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/1943403.1943424.

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Vanderdonckt, J. "Advice-giving systems for selecting interaction objects." In Proceedings User Interfaces to Data Intensive Systems. IEEE, 1999. http://dx.doi.org/10.1109/uidis.1999.791471.

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Zenun Franco, Rodrigo. "Online Recommender System for Personalized Nutrition Advice." In RecSys '17: Eleventh ACM Conference on Recommender Systems. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3109859.3109862.

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Ghari, Pouya M., and Yanning Shen. "Graph-aided Online Learning with Expert Advice." In 2020 54th Asilomar Conference on Signals, Systems, and Computers. IEEE, 2020. http://dx.doi.org/10.1109/ieeeconf51394.2020.9443490.

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Garcia, Osmarina Pedro Garcia, Leticia Mara Rocha, Elias Garcia, and Udo Strassburg. "AUDIT SYSTEM: SHOWING ACCOUNTING ADVICE OFFICE'S POINTS OF AUDIT OF SYSTEMS." In 10th CONTECSI International Conference on Information Systems and Technology Management. Sao Paulo: TECSI, 2013. http://dx.doi.org/10.5748/9788599693094-10contecsi/rf-351.

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De Coen, L. "Central advice system for fleet management and operations." In International Conference on Developments in Mass Transit Systems. IEE, 1998. http://dx.doi.org/10.1049/cp:19980135.

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Liu, Qiao, Hiroko Itoh, and Kenji Yoshimura. "On the Design of In-vehicle Advice System." In 2006 IEEE International Conference on Systems, Man and Cybernetics. IEEE, 2006. http://dx.doi.org/10.1109/icsmc.2006.385241.

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Aldwyish, Abdullah Saleh, Egemen Tanin, and Shanika Karunasekera. "Follow The Best: Crowdsourced Automated Travel Advice." In 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services. ACM, 2018. http://dx.doi.org/10.4108/eai.7-11-2017.2273723.

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Qin, Bing, Yanyan Zhao, Leilei Gao, and Ting Liu. "Recommended or Not? Give Advice on Online Products." In 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2008. http://dx.doi.org/10.1109/fskd.2008.441.

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Reports on the topic "Advice systems"

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Dudley, Lilian D., and Tomás Pantoja. Do educational, organisational or financial interventions improve referrals from primary care to secondary care? SUPPORT, 2016. http://dx.doi.org/10.30846/160808.

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Primary care physicians act as gatekeepers for patient referrals to specialist care, diagnosis and management advice, or when specialist procedures are needed. However, unexplained variations in referral rates by primary care physicians have been noted. Inappropriate referrals have negative implications for patients, for the costs of care and for healthcare systems. This summary describes the evidence on interventions to improve referrals from primary care to secondary care.
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Hopkins, Anna, Sarah Foxen, Kathryn Oliver, and Gavin Costigan. Science Advice in the UK. Foundation for Science and Technology, September 2021. http://dx.doi.org/10.53289/gutw3567.

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This report examines the science advisory system in the UK, how it has changed and how it may develop further in the future. It looks at structure and functions within the UK Government (including the Government Chief Scientific Advisor, the Government Office for Science, government departments, scientific advisory committees - including SAGE - and the Science and Engineering Profession). It also describes science advice in the UK Parliament. The report looks at the role of public research funders, particularly UK Research and Innovation and its research councils, and it discusses how universities are responding to incentives to improve the supply of evidence and expertise. There are brief sections discussing the role of other actors (such as national academies, charities and industry) and discussion of some cross-cutting themes.
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Brown, D. A., R. Arcilla, and M. Herman. ADVANCE System Requirements. Office of Scientific and Technical Information (OSTI), July 2013. http://dx.doi.org/10.2172/1121210.

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Martin, Matthew, Jo Walker, Kwesi W. Obeng, and Christian Hallum. The West Africa Inequality Crisis: Fighting austerity and the pandemic. Development Finance International, Oxfam, October 2021. http://dx.doi.org/10.21201/2021.8045.

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The COVID-19 pandemic has revealed and worsened the depth of inequality in West Africa. It has pushed millions into poverty. There is no end in sight due to the obscene global vaccine inequality, which means that less than 4% of West Africans had been fully vaccinated against COVID-19 as at September 2021, compared with 52% in the United States and 57% in the European Union. In 2021, when COVID-19 infections are rising in West Africa, the critical support health and socioeconomic programmes put in place by most governments in 2020 are being rolled back and replaced with austerity. Many governments are following advice from the IMF and World Bank, reminiscent of the severe cuts in spending imposed under the structural adjustment policies of the 1980s and 1990s. However, as this paper argues, the pandemic offers West African governments a once-in-a-generation opportunity to invest heavily in inequality-busting policies by boosting public spending (especially on healthcare, education and social protection), making tax systems more progressive, and tackling joblessness and precarious work. This report uses the Commitment to Reducing Inequality Index (CRII) framework devised by Oxfam and Development Finance International to assess the policies of West African governments. Visit the CRI Index website to learn more: www.inequalityindex.org.
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Muto, Kazuo. Trend of 3D CAD/CAE/CAM/CAT/Network Systems and PLM System in Advance Technology for Manufacturing Engineering Development. Warrendale, PA: SAE International, May 2005. http://dx.doi.org/10.4271/2005-08-0137.

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Greenhill, Lucy. MASTS ‘Brexit’ event – summary report. Marine Alliance for Science and Technology for Scotland (MASTS), 2017. http://dx.doi.org/10.15664/10023.25094.

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Background. As negotiations continue in relation to the UK’s departure from the European Union, considerable uncertainty remains around the final structure of any deal and the implications across all policy areas. Maritime issues are of key concern in Scotland and numerous reports and opinions are accumulating, highlighting significant areas of concern, ranging from fisheries to decommissioning, and some potential opportunities. There is a critical need for knowledge and capacity to support and influence the on-going negotiation process, at both the Scottish and UK level. Expertise regarding the broad range of marine research, operations and commerce is in demand to support discussion, promote interests and secure advances where possible. Such discussion must be based on the best available science but taking into account the socio-economic and historical context. The Marine Alliance for Science and Technology for Scotland1 (MASTS) is supporting this discussion, providing scientific expertise and promoting the development of emerging policy and progress towards sustainable marine management, during the transition period and for the post-departure UK organisation. This workshop, supported by MASTS, brought government and academia together to consider the legal, governmental and research framework under which Brexit is taking place and to identify priority areas and activities where information can be shared and options considered for enhancing scientific support for the Brexit process. The objectives were to: • Understand current status of Brexit with respect to marine systems and research capacity, including the legislative framework • Identify the priority gaps in knowledge • Develop ways to enhance communication pathways for the best scientific advice required to support the Brexit process.
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Nelson, Arthur, Robert Hibberd, and Kristina Currans. Transit Impacts on Jobs, People and Real Estate. Transportation Research and Education Center (TREC), 2021. http://dx.doi.org/10.15760/trec.258.

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This report is comprised of five substantive elements. The first is crafting a scientifically sound framework for identifying landscapes within the metropolitan areas we studied. The second is applying those Place Typologies and spatial analysis to economic and demographic change for the transit system in each metropolitan area. The third is analyzing how real estate markets respond to transit system proximity with special reference to the Place Typologies. Fourth, this is followed by specialized studies into how urban form and society are shaped by transit systems. The fifth is providing an overall perspective of our research as well as a framework for unlocking the potential to leverage economic benefits of transit to advance social well-being.
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Tidd, Alexander N., Richard A. Ayers, Grant P. Course, and Guy R. Pasco. Scottish Inshore Fisheries Integrated Data System (SIFIDS): work package 6 final report development of a pilot relational data resource for the collation and interpretation of inshore fisheries data. Edited by Mark James and Hannah Ladd-Jones. Marine Alliance for Science and Technology for Scotland (MASTS), 2019. http://dx.doi.org/10.15664/10023.23452.

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[Extract from Executive Summary] The competition for space from competing sectors in the coastal waters of Scotland has never been greater and thus there is a growing a need for interactive seascape planning tools that encompass all marine activities. Similarly, the need to gather data to inform decision makers, especially in the fishing industry, has become essential to provide advice on the economic impact on fishing fleets both in terms of alternative conservation measures (e.g. effort limitations, temporal and spatial closures) as well as the overlap with other activities, thereby allowing stakeholders to derive a preferred option. The SIFIDS project was conceived to allow the different relevant data sources to be identified and to allow these data to be collated in one place, rather than as isolated data sets with multiple data owners. The online interactive tool developed as part of the project (Work Package 6) brought together relevant data sets and developed data storage facilities and a user interface to allow various types of user to view and interrogate the data. Some of these data sets were obtained as static layers which could sit as background data e.g. substrate type, UK fishing limits; whilst other data came directly from electronic monitoring systems developed as part of the SIFIDS project. The main non-static data source was Work Package 2, which was collecting data from a sample of volunteer inshore fishing vessels (<12m). This included data on location; time; vessel speed; count, time and position of deployment of strings of creels (or as fleets and pots as they are also known respectively); and a count of how many creels were hauled on these strings. The interactive online tool allowed all the above data to be collated in a specially designed database and displayed in near real time on the web-based application.
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Squires, Alice, Art Pyster, Brian Sauser, David Olwell, Stephanie Enck, Don Gelosh, and Jim Anthony. Applying Systems Thinking via Systemigrams(TM) for Defining the Body of Knowledge and Curriculum to Advance Systems Engineering (BKCASE) Project. Fort Belvoir, VA: Defense Technical Information Center, January 2010. http://dx.doi.org/10.21236/ada522654.

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10

Fanzo, Jessica, Yusra Ribhi Shawar, Tara Shyam, Shreya Das, and Jeremy Shiffman. Food system PPPs: can they advance public health and business goals at the same time? Global Alliance for Improved Nutrition (GAIN), May 2020. http://dx.doi.org/10.36072/dp.6.

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