WorldWideScience

Sample records for policy recommendations based

  1. Policy recommendations to promote shale gas development in China based on a technical and economic evaluation

    International Nuclear Information System (INIS)

    Yuan, Jiehui; Luo, Dongkun; Xia, Liangyu; Feng, Lianyong

    2015-01-01

    Because of its resource potential and clean burning advantages, the development of shale gas can significantly increase the supply of cleaner energy while offering the associated benefits. To foster shale gas development, many policy incentives have been introduced in China. However, the current incentives have not been sufficiently aggressive, and the shale gas industry has been slow to develop. Existing policies thus need to be further improved. To provide effective support for decision makers in China, a technical and economic evaluation is performed in this study to explore the profitability of shale gas production in pilot zones. The results show that shale gas production is subeconomic under the current technical and economic conditions. Based on this evaluation, a policy analysis is conducted to investigate the profitability improvement offered by the major policies available in China to elucidate a path toward improving incentive policies. The results indicate that policy instruments related to gas prices, financial subsidies, corporate income taxes or combinations thereof could be used as priority options to improve policy incentives. Based on these results, recommendations are presented to improve the current incentive polices aimed at accelerating shale gas development. -- Highlights: •We explore the economic feasibility of shale gas development in China. •Current incentive policies cannot render shale gas development economically viable. •These incentives must be improved to effectively promote shale gas development. •We investigate the effect of the major policies available in China to light a path. •Recommendations are proposed to continually improve the incentive polices in China

  2. Policy recommendations for addressing privacy challenges associated with cell-based research and interventions.

    Science.gov (United States)

    Ogbogu, Ubaka; Burningham, Sarah; Ollenberger, Adam; Calder, Kathryn; Du, Li; El Emam, Khaled; Hyde-Lay, Robyn; Isasi, Rosario; Joly, Yann; Kerr, Ian; Malin, Bradley; McDonald, Michael; Penney, Steven; Piat, Gayle; Roy, Denis-Claude; Sugarman, Jeremy; Vercauteren, Suzanne; Verhenneman, Griet; West, Lori; Caulfield, Timothy

    2014-02-03

    The increased use of human biological material for cell-based research and clinical interventions poses risks to the privacy of patients and donors, including the possibility of re-identification of individuals from anonymized cell lines and associated genetic data. These risks will increase as technologies and databases used for re-identification become affordable and more sophisticated. Policies that require ongoing linkage of cell lines to donors' clinical information for research and regulatory purposes, and existing practices that limit research participants' ability to control what is done with their genetic data, amplify the privacy concerns. To date, the privacy issues associated with cell-based research and interventions have not received much attention in the academic and policymaking contexts. This paper, arising out of a multi-disciplinary workshop, aims to rectify this by outlining the issues, proposing novel governance strategies and policy recommendations, and identifying areas where further evidence is required to make sound policy decisions. The authors of this paper take the position that existing rules and norms can be reasonably extended to address privacy risks in this context without compromising emerging developments in the research environment, and that exceptions from such rules should be justified using a case-by-case approach. In developing new policies, the broader framework of regulations governing cell-based research and related areas must be taken into account, as well as the views of impacted groups, including scientists, research participants and the general public. This paper outlines deliberations at a policy development workshop focusing on privacy challenges associated with cell-based research and interventions. The paper provides an overview of these challenges, followed by a discussion of key themes and recommendations that emerged from discussions at the workshop. The paper concludes that privacy risks associated with cell-based

  3. Teacher Leadership: Federal Policy Recommendations

    Science.gov (United States)

    Gran, Jackie; Young, Margaret; Broin, Alexandra

    2015-01-01

    This policy brief was developed specifically for federal policymakers, and builds upon the policy recommendations included in "Leading from Every Seat: Empowering Principals to Cultivate Teacher Leadership for School Improvement." The recommendations in this report include the following: (1) Uncover New Leadership Ideas and Seed…

  4. Participatory and evidence-based recommendations for urban redevelopment following natural disasters: older adults as policy advisers.

    Science.gov (United States)

    Annear, Michael; Keeling, Sally; Wilkinson, Tim

    2014-03-01

    To develop community-generated recommendations to inform urban environmental remediation following earthquakes in Christchurch, New Zealand, and share these with local decision-makers during a participatory action research process. This study employed three focus group discussions to critique mixed-methods and multiphase results and develop evidence-based recommendations. Participants included 30 volunteers and 8 knowledgeable advisers aged 65 years and older. Participant recommendations addressed the remediation of earthquake-affected suburbs, access to transportation, age-friendly design, safer communities, resilient support agencies, and restoration of resources for social and cultural activities. Older collaborators identified salient barriers to active ageing and options for post-earthquake redevelopment that had not previously been considered in research or policy. Independently living older adults are well placed to work with researchers to develop recommendations to improve the urban environment following natural disasters as well as in times of relative stability. © 2013 ACOTA.

  5. Summary, analysis, and policy recommendations

    International Nuclear Information System (INIS)

    Anon.

    1990-01-01

    Four policy recommendations are presented that would provide the foundations for a long-term transportation policy for the US while gradually reducing the threats from petroleum-powered vehicles to the climate and air quality. They include: improvements in new-vehicle fuel efficiency; increased transportation system efficiency; development of non-fossil energy sources for transportation; and reduction of other greenhouse gas emissions. In the future, manufacturers will be under pressure to develop petroleum-powered vehicles that are cleaner, safer, and more fuel efficient; at the same time, they will need to develop new kinds of vehicles that will emit no pollutants. This pressure will come not from market forces but from public policy and will require large amounts of capital

  6. A Policy Language for Modelling Recommendations

    Science.gov (United States)

    Abou El Kalam, Anas; Balbiani, Philippe

    While current and emergent applications become more and more complex, most of existing security policies and models only consider a yes/no response to the access requests. Consequently, modelling, formalizing and implementing permissions, obligations and prohibitions do not cover the richness of all the possible scenarios. In fact, several applications have access rules with the recommendation access modality. In this paper we focus on the problem of formalizing security policies with recommendation needs. The aim is to provide a generic domain-independent formal system for modelling not only permissions, prohibitions and obligations, but also recommendations. In this respect, we present our logic-based language, the semantics, the truth conditions, our axiomatic as well as inference rules. We also give a representative use case with our specification of recommendation requirements. Finally, we explain how our logical framework could be used to query the security policy and to check its consistency.

  7. Adolescent pregnancy in Argentina: evidence-based recommendations for public policies.

    Science.gov (United States)

    Gogna, Mónica; Binstock, Georgina; Fernández, Silvia; Ibarlucía, Inés; Zamberlin, Nina

    2008-05-01

    In Argentina adolescent pregnancy is still regarded as a public health problem or a "social epidemic". However, it is necessary to ask from which perspective and for whom it is a problem, and what type of problem. This article presents the findings of a large quantitative and qualitative study conducted in five Northern provinces and two metropolitan areas of Argentina in 2003-2004. Based on the results of a survey of adolescent mothers (n=1,645) and ten focus group discussions with adolescent girls and boys, it addresses the connections between school dropout, pregnancy and poverty, and makes recommendations on how to tailor health care and sexuality education to address local realities. The findings indicate a need to develop educational activities to promote safer sex and address gender power relations in programmes working with deprived communities. Sexuality education with a gender and rights perspective, and increasing accessibility to contraceptive methods for adolescent girls and boys is also crucial. Antenatal and post-partum care, as well as post-abortion care, should be improved for young women and viewed as opportunities for contraceptive counselling and provision. Male participation in pregnancy prevention and care also needs to be promoted.

  8. Using Agent-Based Models to Develop Public Policy about Food Behaviours: Future Directions and Recommendations

    Directory of Open Access Journals (Sweden)

    Philippe J. Giabbanelli

    2017-01-01

    Full Text Available Most adults are overweight or obese in many western countries. Several population-level interventions on the physical, economical, political, or sociocultural environment have thus attempted to achieve a healthier weight. These interventions have involved different weight-related behaviours, such as food behaviours. Agent-based models (ABMs have the potential to help policymakers evaluate food behaviour interventions from a systems perspective. However, fully realizing this potential involves a complex procedure starting with obtaining and analyzing data to populate the model and eventually identifying more efficient cross-sectoral policies. Current procedures for ABMs of food behaviours are mostly rooted in one technique, often ignore the food environment beyond home and work, and underutilize rich datasets. In this paper, we address some of these limitations to better support policymakers through two contributions. First, via a scoping review, we highlight readily available datasets and techniques to deal with these limitations independently. Second, we propose a three steps’ process to tackle all limitations together and discuss its use to develop future models for food behaviours. We acknowledge that this integrated process is a leap forward in ABMs. However, this long-term objective is well-worth addressing as it can generate robust findings to effectively inform the design of food behaviour interventions.

  9. Feasibility analysis and policy recommendations for the development of the coal based SNG industry in Xinjiang

    International Nuclear Information System (INIS)

    Huo, Jinwei; Yang, Degang; Xia, Fuqiang; Tang, Hong; Zhang, Wenbiao

    2013-01-01

    Based on China's basic national energy conditions of “abundant coal and scarce gas reserve”, the development of the coal based SNG industry is considered to be an effective way to solve the conflict between the supply and demand of natural gas and an important direction in the clean use of coal. Xinjiang is rich in coal resources and is listed by the central government as one of the main bases of the coal based SNG industry. Nearly 70% of the coal based SNG projects are being conducted in Xinjiang, with the goal to take advantage of the lower coal price in Xinjiang to promote the development of the coal based SNG industry. However, the coal based SNG industry is subject to the constraints of pollution, immature technology, poor economic returns, water resources and many other factors. Therefore, the development of the coal based SNG industry should be limited to industrial demonstration. Taking into account China's energy security and environmental governance, once the technology matures, the development prospect of the coal based SNG industry is broad. - Highlights: • Booming in the coal based SNG is not oriented to market, but investment-driven. • Coal based SNG is restricted by pollution, technology, economic and water resources. • The positioning of coal based SNG industry should be industrial demonstration. • The immature technique is the biggest obstacle

  10. An Analysis of Performance-Based Funding Policies and Recommendations for the Florida College System

    Science.gov (United States)

    Balog, Scott E.

    2016-01-01

    Nearly 30 states have adopted or are transitioning to performance-based funding programs for community colleges that allocate funding based on institutional performance according to defined metrics. While embraced by state lawmakers and promoted by outside advocacy groups as a method to improve student outcomes, enhance accountability and ensure…

  11. Policy Recommendations on Decentralization, Local Power and ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    2010-12-22

    Policy Recommendations on Decentralization, Local Power and Women's Rights. December 22, 2010. Image. The present document comprises a set of policy recommendations that define a global agenda on gender and decentralization. It emerged from the analysis and experiences shared during the Conference and the ...

  12. From micronutrient recommendations to policy

    DEFF Research Database (Denmark)

    Timotijevic, Lada; Raats, Monique M.; Barnett, Julie

    2010-01-01

    towards achieving a greater link between micronutrient recommendations and behaviour. This study aims to examine the rationale and processes associated with consumer and stakeholder involvement in setting micronutrient recommendations across Europe. Subjects/Methods: Using the contacts established through......Background/Objectives: To achieve the nutritional goals stipulated by micronutrient recommendations, greater attention must be paid to the behavioural routes to such nutritional outcomes. Coopting stakeholders and consumers into decisions regarding micronutrient recommendations is an important step...... countries and its effect on final decisions. Stakeholders were not involved at the outset of the process ('framing' of the problem) in any of the countries, and there was no evidence of consumer involvement and open public fora. Conclusions: Some of the key explanatory factors for diversity in the degree...

  13. Alberta's transmission development policy : review and recommendations

    International Nuclear Information System (INIS)

    Stubbings, R.V.

    2004-01-01

    Alberta's Department of Energy (ADOE) released a policy paper in November 2003 regarding power transmission development for the province. The transmission development policy (TDP) is intended to promote economic growth in Alberta while ensuring consumers with reliable, reasonably priced electricity. This presentation reviewed the main features of the policy and then focused on the allocation of costs to generation customers. The author argued that the proposed changes would result in a sub-optimal development of generation and higher total electricity bills for consumers. He argued that the policy will spare generation customers of any obligation to pay wire-related costs other than local interconnection costs. This would weaken a long-standing ADOE policy which requires generators to pay costs that depend on their location on the transmission system. With the new proposal, generators would not be responsible for ancillary service costs even when they provide direct benefits, and they would pay for system losses on a zonal basis. The author recommended that location charges should be large enough to influence the siting decisions of generators. He also recommended that generators should pay their fare share of transmission use-of-system charges, including ancillary services that provide benefits to generators in the form of a stable, reliable transmission system. 2 tabs., 2 figs

  14. Recommendations for an energy policy for Australia

    International Nuclear Information System (INIS)

    1977-10-01

    Over the next few years, Australia must modify its dependence on natural oil and place greater reliance on other fossil fuels and renewable energy sources. The recommendations contained in this report are the result of two years of study, and the long term energy prospects for Australia and energy resource policies for coal, liquid fuels, nuclear energy, solar energy and natural gas are considered in detail. Energy conservation policies and the identification of areas where energy research, development and demonstration need to be undertaken are also covered. (J.R.)

  15. Policy analysis and recommendations for the DCM research data exchange.

    Science.gov (United States)

    2012-07-01

    This report is a policy analysis and set of recommendations regarding open data policies and policies for new, transformative data environments that are being developed as part of the Connected Vehicle research program. It is presented in three secti...

  16. Prioritizing Sleep Health: Public Health Policy Recommendations.

    Science.gov (United States)

    Barnes, Christopher M; Drake, Christopher L

    2015-11-01

    The schedules that Americans live by are not consistent with healthy sleep patterns. In addition, poor access to educational and treatment aids for sleep leaves people engaging in behavior that is harmful to sleep and forgoing treatment for sleep disorders. This has created a sleep crisis that is a public health issue with broad implications for cognitive outcomes, mental health, physical health, work performance, and safety. New public policies should be formulated to address these issues. We draw from the scientific literature to recommend the following: establishing national standards for middle and high school start times that are later in the day, stronger regulation of work hours and schedules, eliminating daylight saving time, educating the public regarding the impact of electronic media on sleep, and improving access to ambulatory in-home diagnostic testing for sleep disorders. © The Author(s) 2015.

  17. Recommendations concerning the scientific foundation of radiohygienic policy based on the UNSCEAR-77, -82 and BEIR reports

    International Nuclear Information System (INIS)

    1985-01-01

    This report studies to what extent the UNSCEAR-77 report and other more recent scientific literature (in particular the BEIR-80 and UNSCEAR-82 reports) support the risk factors mentioned in ICRP-26, which formed the basis of the weighting factors per organ, recommended by the International Commission on Radiological Protection. It discusses the nature and size of the different contributions to the exposure to ionizing radiation both on a global level and with respect to the Dutch situation. An estimate is given of the average total annual dose equivalent for the world population, for the population of the Netherlands and for radiological workers in the Netherlands. An extensive discussion is presented of the dose-effect relationships of stochastic radiation effects in the female breast, the thyroid, red bone marrow, bone tissue, the lungs, other organs and the whole body. Furthermore consideration is given to nonstochastic effects in the lens of the eye and in the skin and to the late effects of radiotherapy. Finally the effects of prenatal irradiation and the genetic effects of ionizing radiation are discussed. Subsequently the risk factors used by ICRP in formulating its recommendations in publication ICRP-26, are compared with the risk factors mentioned in the scientific literature. (Auth.)

  18. Preconception care policy, guidelines, recommendations and services across six European countries

    DEFF Research Database (Denmark)

    Shawe, Jill; Delbaere, Ilse; Ekstrand, Maria

    2015-01-01

    : Governmental policy and legislation; Professional bodies and organisations; Healthcare providers; Charitable organisations; Web-based public information and internet sites. Results All countries had preconception recommendations for women with chronic diseases, such as diabetes and epilepsy. Recommendations...

  19. A Hybrid Recommender System Based on User-Recommender Interaction

    OpenAIRE

    Zhang, Heng-Ru; Min, Fan; He, Xu; Xu, Yuan-Yuan

    2015-01-01

    Recommender systems are used to make recommendations about products, information, or services for users. Most existing recommender systems implicitly assume one particular type of user behavior. However, they seldom consider user-recommender interactive scenarios in real-world environments. In this paper, we propose a hybrid recommender system based on user-recommender interaction and evaluate its performance with recall and diversity metrics. First, we define the user-recommender interaction...

  20. Nuclear Cyber Security Issues and Policy Recommendations

    International Nuclear Information System (INIS)

    Lee, Cheol-Kwon; Lee, Dong-Young; Lee, Na-Young; Hwang, Young-Soo

    2015-01-01

    The cyber-attack against computer systems causes the loss of function which brings about the big economic loss, and it becomes a national-wide issue. In recent days the cyber threat has occurred in the national critical infrastructure around the world. In the nuclear industry, while discussing responses to various threats against nuclear facilities since 2006, cyber-terrorism was also discussed. But at that time, cyber-attacks against control networks in nuclear facilities were not seriously considered because those networks were isolated from the Internet thoroughly and it was evaluated that cyber penetration would not be possible. However Stuxnet worm virus which attacked Iran's nuclear facilities confirmed that the cyber security problem could occur even in other nuclear facilities. The facilities were isolated from the Internet. After the cyber incident, we began to discuss the topic of NPP cyber security. It is very difficult to predict whether or when or how the cyber-attack will be occurred, which is a characteristic of cyber-attack. They could be always detected only after when an incident had occurred. This paper summarizes the report, 'Nuclear Cyber Security Issues and Policy Recommendations' by issue committee in the Korea Nuclear Society, which reviewed the cyber security framework for nuclear facilities in the Republic of Korea being established to prevent nuclear facilities from cyber-attacks and to respond systematically. As a result this paper proposes several comments to improve the security and furthermore safety of nuclear facilities Digital technology will be used more widely at the national critical infrastructure including nuclear facilities in the future, and moreover wireless technologies and mobile devices will be soon introduced to nuclear industry. It is therefore anticipated that the rapid advance in digital technology will accelerate the opportunity of hacking these facilities

  1. Nuclear Cyber Security Issues and Policy Recommendations

    Energy Technology Data Exchange (ETDEWEB)

    Lee, Cheol-Kwon; Lee, Dong-Young [Korea Atomic Energy Research Institute, Daejeon (Korea, Republic of); Lee, Na-Young; Hwang, Young-Soo [Korea Institute of Nuclear Nonproliferation and Control, Daejeon (Korea, Republic of)

    2015-10-15

    The cyber-attack against computer systems causes the loss of function which brings about the big economic loss, and it becomes a national-wide issue. In recent days the cyber threat has occurred in the national critical infrastructure around the world. In the nuclear industry, while discussing responses to various threats against nuclear facilities since 2006, cyber-terrorism was also discussed. But at that time, cyber-attacks against control networks in nuclear facilities were not seriously considered because those networks were isolated from the Internet thoroughly and it was evaluated that cyber penetration would not be possible. However Stuxnet worm virus which attacked Iran's nuclear facilities confirmed that the cyber security problem could occur even in other nuclear facilities. The facilities were isolated from the Internet. After the cyber incident, we began to discuss the topic of NPP cyber security. It is very difficult to predict whether or when or how the cyber-attack will be occurred, which is a characteristic of cyber-attack. They could be always detected only after when an incident had occurred. This paper summarizes the report, 'Nuclear Cyber Security Issues and Policy Recommendations' by issue committee in the Korea Nuclear Society, which reviewed the cyber security framework for nuclear facilities in the Republic of Korea being established to prevent nuclear facilities from cyber-attacks and to respond systematically. As a result this paper proposes several comments to improve the security and furthermore safety of nuclear facilities Digital technology will be used more widely at the national critical infrastructure including nuclear facilities in the future, and moreover wireless technologies and mobile devices will be soon introduced to nuclear industry. It is therefore anticipated that the rapid advance in digital technology will accelerate the opportunity of hacking these facilities.

  2. 25 energy efficiency policy recommendations. 2011 update

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2011-07-01

    The IEA recommends that G8 leaders adopt and urgently implement this package of measures to significantly enhance energy efficiency. This package was developed under the Gleneagles G8 Plan of Action, which mandates the pursuit of a clean, clever and competitive energy future.

  3. Best practices and recommendations on policy packaging

    DEFF Research Database (Denmark)

    Fearnley, Nils; Longva, Frode; Ramjerdi, Farideh

    2011-01-01

    . This report gives practical and general advice for each of these stages: 1. Define objectives and targets 2. Create an inventory of measures, identify potential primary measures and detect causal relationships 3. Assess policy package 4. Modify package 5. Package implementation 6. Evaluate effects, introduce...

  4. DEVELOPMENT OF FRANCHISING IN CROATIA OBSTACLES AND POLICY RECOMMENDATIONS

    Directory of Open Access Journals (Sweden)

    Mirela Alpeza

    2015-11-01

    Full Text Available Franchising is very popular growth model but despite the wide application of franchising in the developed countries of the world, its impact on the Croatian economy is still marginal. The purpose of this research is to identify the obstacles and challenges to a wider application of franchising in Croatia and generate policy recommendations for removing the identified obstacles. Obstacles and recommendations are identified on the basis of a conducted longitudinal qualitative research, the first phase of which was conducted in 2006, and second in 2014. The overall results of this research were presented in a form of PEST analysis and compared with the results of the 2006 research aiming to detect changes (improvements/ deterioration in individual areas of the research political, economic, legal and technologic factors of influence on the development of franchising in Croatia. Based on the detected changes, conclusions and policy recommendations were identified.The obstacles can be divided in two categories: franchising specific barriers and general business related obstacles for doing business in Croatia. Without removing most of these obstacles, it is unrealistic to expect high growth of franchising activities in Croatia in near future.

  5. Problems and Recommendations over Tax Policies

    Directory of Open Access Journals (Sweden)

    Engin ONER

    2015-03-01

    Full Text Available Tax policy is a tool that state uses on economic, social and financial fields. Funding public expenditure is its financial goal, providing economic stability and development is its economic goal and contributing to fair distribution of income and wealth is its social goal. In result of high debt load, rupture between taxes and economic goals, being not established a document and registration order and lacking in management of administration and control functions, significantly increasing tax loss and evasion and factors such as unfair competition that it leads to show that our tax system is ineffective and have a negative influence in economic life. In order to succeed in tax policies, “taxes should be minimalistic, should consider the ability to pay with respect to income level, should prevent the luxurious consumption and waste, should decrease tax evasion and loss, should tax informal economy, should encourage export, employment and development, should be reformed in a permanent way and implementing tax consciousness into whole society” is inevitable.

  6. A literature review of the market effects of federal biofuel policy and recommendations for future policy

    Science.gov (United States)

    Ayers, Alex Elgin

    The United States has had a federal biofuels policy since the 1970s. The purpose of this policy was to help the development of a biofuel industry during a time of high fuel prices in order to provide a domestic alternative to expensive foreign oil. Later the policy was changed to help lower the environmental impact caused by conventional fuels. Since that time the industry has grown and currently produces around 15 billion gallons of biofuels every year. The current federal biofuel policy is largely based on one program, the Renewable Fuel Standard (RFS), which mandates the production and blending of several different classes of biofuels and provides a form of subsidy to the biofuel industry. This paper examines the market effects of the federal biofuel policy and provides recommendations for improving the policy to counteract any negative effects. Federal biofuel policy has many far-reaching market effects. Some are easily calculable through expenditures and lost revenues, while others are harder to quantify because their full effects are not yet known. By evaluating these market effects, this paper will provide ample evidence that the federal biofuels policy needs to change, and will show what effects these changes could induce. The biofuels industry largely owes its existence to government policies, however as the research shows the industry can now stand on its own. This paper will examine what will happen if the federal policy is eliminated and what the future of the biofuels industry could hold. Based on these examinations, it is unlikely that the industry needs further government support and policies should be adjusted in light of this.

  7. Recommendations for Policy and Practice of Physical Education in Culturally and Linguistically Diverse Australian Secondary Schools Based on a Two-Year Prospective Cohort Study

    Science.gov (United States)

    Dudley, Dean A.; Pearson, Phil; Okely, Anthony D.; Cotton, Wayne G.

    2015-01-01

    Physical activity affords a host of physical and cognitive benefits for children. Physical education classes are one such venue where children can reap recommended amounts of physical activity. However, little research has explored evidence-based physical education instruction, particularly in culturally and linguistically diverse schools. No…

  8. Progress Implementing the IEA 25 Energy Efficiency Policy Recommendations

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2012-07-01

    Significantly improving energy efficiency remains a priority for all countries. Meetings of G8 leaders and IEA ministers reaffirmed the critical role that improved energy efficiency can play in addressing energy security, environmental and economic challenges. Many IEA publications have also documented the essential role of energy efficiency. For example, the World Energy Outlook and the Energy Technology Perspectives reports identify energy efficiency as the most significant contributor to achieving energy security, economic and environmental goals. Energy efficiency is clearly the “first fuel” in the delivery of energy services in the coming low-carbon energy future. To support governments in their implementation of energy efficiency, the IEA recommended the adoption of specific energy efficiency policy measures to the G8 summits in 2006, 2007 and 2008. The consolidated set of recommendations to these summits is known as the ‘IEA 25 energy efficiency policy recommendations’ because it covers 25 fields of action across seven priority areas: cross-sectoral activity, buildings, appliances, lighting, transport, industry and energy utilities. The IEA estimates that if implemented globally without delay, the proposed actions could save as much as 7.6 giga tonnes (Gt) CO2/year by 2030 – almost 1.5 times the current annual carbon dioxide (CO2) emissions of the United States. The IEA 25 energy efficiency policy recommendations were developed to address policy gaps and priorities. This has two implications. First, the recommendations do not cover the full range of energy efficiency policy activity possible. Rather, they focus on priority energy efficiency policies identified by IEA analysis. Second, while IEA analysis, the energy efficiency professional literature and engagement with experts clearly demonstrate the broad benefits of these IEA priority measures, the recommendations are not weighted to reflect the different energy end-use make up of different

  9. Recommendation 1074 on family policy, 3 May 1988.

    Science.gov (United States)

    1988-01-01

    This document contains a 1988 Recommendation of the Council of Europe on family policy in which the Council recognizes the profound changes which have occurred in family structure and the increased tensions within families caused by such factors as poverty and crime. The Council notes, however, that the family remains a popular institution for young people and that some changes, such as the replacement of the marriage-alliance with the marriage-partnership, have been positive. Also the family is the best place for nurturing human relationships and caring for children and the elderly. Both "legitimate" and "de facto" families must be recognized, and the emancipation of women requires a democratization of the family which implies equality and protects the exercise of free choice among its members. After drawing attention to earlier Recommendations, the Council recommends that the governments of member states base their preparation of family policy on specific proposals: 1) legislation should protect equality between the sexes and children's rights, pay attention to the problems encountered by spouses of different nationalities, contain policies on adoption and reproductive technologies, and be directed to eliminating domestic violence; 2) working life should have greater flexibility, including parental leave; 3) separate taxation should be enacted for spouses, a flat-rate child allowance should be introduced instead of tax reductions, and costs of caring for preschool-age children should be tax deductible; 4) social security should recognize the value of housework and child care, a minimum guaranteed income should be explored, individual rights should be established, people should be credited for time spent giving care to dependents, and the European Convention on Social Security should be ratified; 5) housing needs of families should be met and the infrastructures of towns should meet the needs of inhabitants, social infrastructure should help families care for

  10. DEVELOPMENT OF FRANCHISING IN CROATIA OBSTACLES AND POLICY RECOMMENDATIONS

    OpenAIRE

    Alpeza, Mirela; Erceg, Aleksandar; Oberman Peterka, Sunčica

    2015-01-01

    Franchising is very popular growth model but despite the wide application of franchising in the developed countries of the world, its impact on the Croatian economy is still marginal. The purpose of this research is to identify the obstacles and challenges to a wider application of franchising in Croatia and generate policy recommendations for removing the identified obstacles. Obstacles and recommendations are identified on the basis of a conducted longitudinal qualitative research, the firs...

  11. From micronutrient recommendations to policy: consumer and stakeholder involvement.

    Science.gov (United States)

    Timotijevic, L; Raats, M M; Barnett, J; Brown, K; Shepherd, R; Fernandez, L; Dömölki, L; Ruprich, J; Sonne, A-M; Hermoso, M; Koletzko, B; Frost-Andersen, L; Timmer, A

    2010-06-01

    To achieve the nutritional goals stipulated by micronutrient recommendations, greater attention must be paid to the behavioural routes to such nutritional outcomes. Coopting stakeholders and consumers into decisions regarding micronutrient recommendations is an important step towards achieving a greater link between micronutrient recommendations and behaviour. This study aims to examine the rationale and processes associated with consumer and stakeholder involvement in setting micronutrient recommendations across Europe. Using the contacts established through the Eurreca network of excellence (commissioned by the European Commission), the research involved in-depth desk research of key documents and communication channels linked to the process of setting micronutrient recommendations across seven countries: the United Kingdom, Norway, Denmark, Germany, Spain, the Czech Republic and Hungary. Stakeholder engagement is recognized by most countries as an important aspect of the process of setting micronutrient recommendations and their translation into policy, although there is notable variation in the extent to which this has been achieved across the seven countries and its effect on final decisions. Stakeholders were not involved at the outset of the process ('framing' of the problem) in any of the countries, and there was no evidence of consumer involvement and open public fora. Some of the key explanatory factors for diversity in the degree of involvement include historical sociopolitical context; the extent to which food and nutrition are key policy agenda; and the relative power of stakeholders in influencing food and nutrition policy.

  12. Supporting recommendations to policies for expanding the building of nuclear stations

    International Nuclear Information System (INIS)

    Nasr, Nahla

    2009-01-01

    This article speaks about the policy recommendations concerning the future of nuclear energy. It includes the findings and recommendations based upon the presentations and discussions at the meeting of nearly 40 scientists, policy makers, industry representatives, and non governmental experts from around the world. The Bulletin of the Atomic Scientists convened them. The meeting was cosponsored by the University of Chicago, Argonne National Laboratory, and the Chicago Council on Science and Technology

  13. Recommendations for a software quality assurance policy for the nuclear waste disposal risk assessment programme

    International Nuclear Information System (INIS)

    Hill, I.E.

    1985-05-01

    This study reviewed a number of published standards for software quality assurance, and included a series of interviews with software developers aimed at exploring their attitudes to software quality assurance. Recommendations for software quality assurance policy are made based on the above investigations. This document provides a summary of the recommendations made in the full report on project, reference MR-CDS-4. (author)

  14. ATS-6 and State Telecommunications Policy for Rural Alaska: An Analysis of Recommendations.

    Science.gov (United States)

    Pittman, Theda Sue; Orvik, James M.

    This paper analyzes thirteen recommendations for media policy making in rural Alaska which were formulated as a product of a study of the educational television aspect of the ATS-6 (Applications Technology Satellite) project in 1974-75. The recommendations, which emphasize local media control, were based on information provided by village…

  15. Hybrid employment recommendation algorithm based on Spark

    Science.gov (United States)

    Li, Zuoquan; Lin, Yubei; Zhang, Xingming

    2017-08-01

    Aiming at the real-time application of collaborative filtering employment recommendation algorithm (CF), a clustering collaborative filtering recommendation algorithm (CCF) is developed, which applies hierarchical clustering to CF and narrows the query range of neighbour items. In addition, to solve the cold-start problem of content-based recommendation algorithm (CB), a content-based algorithm with users’ information (CBUI) is introduced for job recommendation. Furthermore, a hybrid recommendation algorithm (HRA) which combines CCF and CBUI algorithms is proposed, and implemented on Spark platform. The experimental results show that HRA can overcome the problems of cold start and data sparsity, and achieve good recommendation accuracy and scalability for employment recommendation.

  16. A heterogeneous graph-based recommendation simulator

    Energy Technology Data Exchange (ETDEWEB)

    Yeonchan, Ahn [Seoul National University; Sungchan, Park [Seoul National University; Lee, Matt Sangkeun [ORNL; Sang-goo, Lee [Seoul National University

    2013-01-01

    Heterogeneous graph-based recommendation frameworks have flexibility in that they can incorporate various recommendation algorithms and various kinds of information to produce better results. In this demonstration, we present a heterogeneous graph-based recommendation simulator which enables participants to experience the flexibility of a heterogeneous graph-based recommendation method. With our system, participants can simulate various recommendation semantics by expressing the semantics via meaningful paths like User Movie User Movie. The simulator then returns the recommendation results on the fly based on the user-customized semantics using a fast Monte Carlo algorithm.

  17. Canadian solar export market study. Export policy recommendations

    Energy Technology Data Exchange (ETDEWEB)

    1983-11-01

    This report outlines policies and recommendations on the export of Canadian solar equipment and technology, with a view toward stimulating the domestic solar industry. The current picture is of an industry which is relatively small, operates in a competitive domestic market with low profit margins, and needs assistance in order to break into the world market. A number of recommendations are therefore made on the main thrust of industry and government solar export development activities. An export development program is described which includes a strategy of concentrating on a limited number of product lines, namely: low-temperature solar heating systems for recreational applications, integrated residential water heating systems, prepackaged commercial water heating systems, and industrial pre-heat systems. It is also recommended that this strategy be directed only at a limited number of target countries where the market justifies such activity. Market research, international cooperation agreements, promotional services, and proper export organization are also needed.

  18. Preference-Based Recommendations for OLAP Analysis

    Science.gov (United States)

    Jerbi, Houssem; Ravat, Franck; Teste, Olivier; Zurfluh, Gilles

    This paper presents a framework for integrating OLAP and recommendations. We focus on the anticipatory recommendation process that assists the user during his OLAP analysis by proposing to him the forthcoming analysis step. We present a context-aware preference model that matches decision-makers intuition, and we discuss a preference-based approach for generating personalized recommendations.

  19. Biological invasions: recommendations for U.S. policy and management.

    Science.gov (United States)

    Lodge, David M; Williams, Susan; MacIsaac, Hugh J; Hayes, Keith R; Leung, Brian; Reichard, Sarah; Mack, Richard N; Moyle, Peter B; Smith, Maggie; Andow, David A; Carlton, James T; McMichael, Anthony

    2006-12-01

    The Ecological Society of America has evaluated current U.S. national policies and practices on biological invasions in light of current scientific knowledge. Invasions by harmful nonnative species are increasing in number and area affected; the damages to ecosystems, economic activity, and human welfare are accumulating. Without improved strategies based on recent scientific advances and increased investments to counter invasions, harm from invasive species is likely to accelerate. Federal leadership, with the cooperation of state and local governments, is required to increase the effectiveness of prevention of invasions, detect and respond quickly to new potentially harmful invasions, control and slow the spread of existing invasions, and provide a national center to ensure that these efforts are coordinated and cost effective. Specifically, the Ecological Society of America recommends that the federal government take the following six actions: (1) Use new information and practices to better manage commercial and other pathways to reduce the transport and release of potentially harmful species; (2) Adopt more quantitative procedures for risk analysis and apply them to every species proposed for importation into the country; (3) Use new cost-effective diagnostic technologies to increase active surveillance and sharing of information about invasive species so that responses to new invasions can be more rapid and effective; (4) Create new legal authority and provide emergency funding to support rapid responses to emerging invasions; (5) Provide funding and incentives for cost-effective programs to slow the spread of existing invasive species in order to protect still uninvaded ecosystems, social and industrial infrastructure, and human welfare; and (6) Establish a National Center for Invasive Species Management (under the existing National Invasive Species Council) to coordinate and lead improvements in federal, state, and international policies on invasive species

  20. IEA policies-G8 recommendations and an afterwards

    International Nuclear Information System (INIS)

    Onoda, Takao

    2009-01-01

    In response to threats posed to the future supply of energy and to the environment, the G8 leaders, in Gleneagles, UK in 2005, agreed to an initiative called the Gleneagles Plan of Action (GPOA) which addresses climate change, clean energy and sustainable development. In the GPOA, G8 leaders pledged to encourage the development of cleaner, more efficient and lower-emitting vehicles, and to promote their deployment by, among other means, asking the IEA to review existing standards and codes for vehicle efficiency and to identify best practices. In order to properly response to the above-mentioned requests from G8 leaders, the IEA has launched, among other activities, study on policies for 'transforming the way we use energy' focusing on end-use efficiency including the one in transport sector and made a comprehensive response to the GPOA at the 2008 G8 Summit Meeting in Japan with 25 recommendations on energy efficiency. Regarding these recommendations, the G8 leaders have proclaimed, in the G8 Hokkaido Toyako Summit Leaders Declaration, that they would maximize implementation of the IEA's 25 recommendations. This paper summarizes the IEA activities in transport sector regarding the GPOA and their findings and recommendations.

  1. Evidence-based recommendations to facilitate professional ...

    African Journals Online (AJOL)

    Rachel Magdalena (Dalena) van Rooyen

    Purpose of the research: To develop evidence-based recommendations ... attitudes by not referring patients to traditional practitioners based on lack of knowledge ...... Longman Dictionary of Contemporary English. ... A case study from Chile.

  2. Network-based recommendation algorithms: A review

    Science.gov (United States)

    Yu, Fei; Zeng, An; Gillard, Sébastien; Medo, Matúš

    2016-06-01

    Recommender systems are a vital tool that helps us to overcome the information overload problem. They are being used by most e-commerce web sites and attract the interest of a broad scientific community. A recommender system uses data on users' past preferences to choose new items that might be appreciated by a given individual user. While many approaches to recommendation exist, the approach based on a network representation of the input data has gained considerable attention in the past. We review here a broad range of network-based recommendation algorithms and for the first time compare their performance on three distinct real datasets. We present recommendation topics that go beyond the mere question of which algorithm to use-such as the possible influence of recommendation on the evolution of systems that use it-and finally discuss open research directions and challenges.

  3. Establishing global policy recommendations: the role of the Strategic Advisory Group of Experts on immunization.

    Science.gov (United States)

    Duclos, Philippe; Okwo-Bele, Jean-Marie; Salisbury, David

    2011-02-01

    The vaccine landscape has changed considerably over the last decade with many new vaccines and technological developments, unprecedented progress in reaching out to children and the development of new financing mechanisms. At the same time, there are more demands and additional expectations of national policy makers, donors and other interested parties for increased protection through immunization. The Global Immunization Vision and Strategy (GIVS), which broadens the previous scope of immunization efforts, sets a number of goals to be met by countries. The WHO has recently reviewed and adjusted both its policy making structure and processes for vaccines and immunization to include an enlarged consultation process to generate evidence-based recommendations, thereby ensuring the transparency of the decision making process and improving communications. This article describes the process of development of immunization policy recommendations at the global level and some of their impacts. It focuses on the roles and modes of operating of the Strategic Advisory Group of Experts on immunization, which is the overarching advisory group involved with the issuance of policy recommendations, monitoring and facilitating the achievement of the GIVS goals. The article also describes the process leading to the publication of WHO vaccine position papers, which provide WHO recommendations on vaccine use. WHO vaccine-related recommendations have become a necessary step in the pathway to the introduction and use of vaccines, especially in developing countries and, consequently, have a clear and significant impact.

  4. Recommendation advertising method based on behavior retargeting

    Science.gov (United States)

    Zhao, Yao; YIN, Xin-Chun; CHEN, Zhi-Min

    2011-10-01

    Online advertising has become an important business in e-commerce. Ad recommended algorithms are the most critical part in recommendation systems. We propose a recommendation advertising method based on behavior retargeting which can avoid leakage click of advertising due to objective reasons and can observe the changes of the user's interest in time. Experiments show that our new method can have a significant effect and can be further to apply to online system.

  5. Health policy and exercise: a brief BRFSS study and recommendations.

    Science.gov (United States)

    Larson, James S; Winn, Mylon

    2010-03-01

    The Behavioral Risk Factor Surveillance Survey is used to compare three predictors of self-rated health, specifically exercise, tobacco smoking, and a diagnosis of diabetes (a proxy for obesity). Exercise is found to be the best predictor, and the remainder of the article discusses the role of exercise in disease prevention and the all-important concept of exercise adherence. Government policy in the future needs to promote exercise adherence in a more rigorous way, because it is a key to both individual and societal health. Exercise habits need to be instilled from youth, and physical education requirements in school need to be re-established at all levels through high school. Adults also need encouragement with better neighborhood planning of exercise trails for walking and biking, as well as planned community activities to encourage fitness through one's lifetime. The article concludes with six recommendations for formal government action to encourage exercise adherence.

  6. Recommendations for international gambling harm-minimisation guidelines: comparison with effective public health policy.

    Science.gov (United States)

    Gainsbury, Sally M; Blankers, Matthijs; Wilkinson, Claire; Schelleman-Offermans, Karen; Cousijn, Janna

    2014-12-01

    Problem gambling represents a significant public health problem, however, research on effective gambling harm-minimisation measures lags behind other fields, including other addictive disorders. In recognition of the need for consistency between international jurisdictions and the importance of basing policy on empirical evidence, international conventions exist for policy on alcohol, tobacco, and illegal substances. This paper examines the evidence of best practice policies to provide recommendations for international guidelines for harm-minimisation policy for gambling, including specific consideration of the specific requirements for policies on Internet gambling. Evidence indicates that many of the public health policies implemented for addictive substances can be adapted to address gambling-related harms. Specifically, a minimum legal age of at least 18 for gambling participation, licensing of gambling venues and activities with responsible gambling and consumer protection strategies mandated, and brief interventions should be available for those at-risk for and experiencing gambling-related problems. However, there is mixed evidence on the effectiveness of limits on opening hours and gambling venue density and increased taxation to minimise harms. Given increases in trade globalisation and particularly the global nature of Internet gambling, it is recommended that jurisdictions take actions to harmonise gambling public health policies.

  7. Additive Manufacturing in Finland: Recommendations for a Renewed Innovation Policy

    Science.gov (United States)

    Ituarte, Iñigo Flores; Salmi, Mika; Ballardini, Rosa Maria; Tuomi, Jukka; Partanen, Jouni

    The objective of this research is to define an optimal innovation policy and funding strategy to improve Additive Manufacturing (AM) capabilities in Finnish companies. To do so, we present an international review of innovation programs in the area of AM. In addition, the study replied upon a survey prepared to evaluate factors for AM implementation. The ultimate goal is to help in the definition of a national policy strategy in the area of AM based on the characteristics of the Finnish industrial ecosystem. The methodology and data collection method involved defining the taxonomy of Finnish AM industry. The target group of the survey was a population of AM experts, and individuals with knowledge on AM and industrial processes. Overall, the survey revealed that research and innovation activities are well positioned in Finland. In order for future innovation policies to further support developments in the field, we estimated that policy strategies need to generate about 6-8 M€/year in national and EU- funding instruments for AM technology transfer, development, and innovation activities. Efforts should be targeted towards strengthening uses of AM in final production. In fact, only 36% of Finnish respondents declared to use AM for final production, while leading countries in AM use it in average more than 50%. Another area in need of development in Finland is the use of AM high performance materials. Moreover, outsourcing of AM services in Finland is 23 percentage point higher in national and 13 percentage point higher in international outsourcing to service bureaus and suppliers. In this regard, future policies and funding strategies should maintain the created momentum. However, there is a need to acquire high-end research and industrial equipment to stimulate AM integration to the existing production systems. This in the end can trigger the creation of new products, processes and intellectual property, enabling innovation and competitive advantage.

  8. Personalized recommendation based on unbiased consistence

    Science.gov (United States)

    Zhu, Xuzhen; Tian, Hui; Zhang, Ping; Hu, Zheng; Zhou, Tao

    2015-08-01

    Recently, in physical dynamics, mass-diffusion-based recommendation algorithms on bipartite network provide an efficient solution by automatically pushing possible relevant items to users according to their past preferences. However, traditional mass-diffusion-based algorithms just focus on unidirectional mass diffusion from objects having been collected to those which should be recommended, resulting in a biased causal similarity estimation and not-so-good performance. In this letter, we argue that in many cases, a user's interests are stable, and thus bidirectional mass diffusion abilities, no matter originated from objects having been collected or from those which should be recommended, should be consistently powerful, showing unbiased consistence. We further propose a consistence-based mass diffusion algorithm via bidirectional diffusion against biased causality, outperforming the state-of-the-art recommendation algorithms in disparate real data sets, including Netflix, MovieLens, Amazon and Rate Your Music.

  9. Women's experiences of developing musculoskeletal diseases: employment challenges and policy recommendations.

    Science.gov (United States)

    Crooks, Valorie A

    2007-07-30

    To answer three specific questions: (i) How do women experience the workplace after the onset of a musculoskeletal disease; (ii) What employment policy and programme suggestions can they offer for ways to better support chronically ill women in their abilities to maintain workforce participation; and (iii) How are these women's employment policy and programme recommendations informed by their own lived experiences and desires? In-depth interviews were conducted with 18 women who had developed musculoskeletal diseases while involved in the labour market. Data were coded and analysed thematically. Participants identified three common workplace barriers experienced and three types of workplace accommodations commonly requested. They offered four specific employment policy and programme recommendations for ways to better support women who develop musculoskeletal diseases in maintaining labour market participation. It is found that their employment policy and programme recommendations are informed by their own experiences in the workplace and desires for being supported in maintaining involvement in paid labour. Creating employment programmes and policies that support chronically ill women in their attempts to remain involved in the workforce based on how much paid labour they are able to perform and where they are best able to work is of the utmost importance.

  10. Recommendations for institutional policy and network regulatory frameworks towards distributed generation in EU Member States

    International Nuclear Information System (INIS)

    Ten Donkelaar, M.; Van Oostvoorn, F.

    2005-01-01

    Recommendations regarding the development of regulatory frameworks and institutional policies towards an optimal integration of distributed generation (DG) into electricity networks are presented. These recommendations are based on findings from a benchmarking study conducted in the framework of the ENIRDG-net project. The aim of the benchmarking exercise was to identify examples of well-defined pro-DG policies, with clear targets and adequate implementation mechanisms. In this study an adequate pro-DG policy is defined on the basis of a level playing field, a situation where distributed and centralised generation receive equal incentives and have equal access to the liberalised markets for electricity. The benchmark study includes the results of a similar study conducted in the framework of the SUSTELNET project. When comparing the results a certain discrepancy can be noticed between the actual regulation and policy in a number of countries, the medium to long-term targets and the ideal situation described by the level playing field objective. To overcome this discrepancy, a number of recommendations have been drafted for future policy and regulation towards distributed generation

  11. A Review of Electric Vehicle Lifecycle Emissions and Policy Recommendations to Increase EV Penetration in India

    Directory of Open Access Journals (Sweden)

    Rachana Vidhi

    2018-02-01

    Full Text Available Electric vehicles reduce pollution only if a high percentage of the electricity mix comes from renewable sources and if the battery manufacturing takes place at a site far from the vehicle use region. Industries developed due to increased electric vehicle adoption may also cause additional air pollution. The Indian government has committed to solving New Delhi’s air pollution issues through an ambitious policy of switching 100% of the light duty consumer vehicles to electric vehicles by 2030. This policy is based on vehicle grid interaction and relies on shared mobility through the electric vehicle fleet. There are several human behavioral changes necessary to achieve 100% adoption of electric vehicles. This paper reviews different steps in the lifecycle of an electric vehicle (EV, their impact on environmental emissions, and recommends policies suitable for different socio-economic group that are relevant to the Indian market. To reduce air pollution through adoption of electric vehicles, the Indian government needs to adopt policies that increase sale of electric vehicles, increase percentage of renewable energy in the electricity mix, and prevent air pollution caused from battery manufacturing. The recommended policies can be customized for any market globally for reducing air pollution through increased adoption of electric vehicles.

  12. Decarbonizing the international shipping industry: Solutions and policy recommendations.

    Science.gov (United States)

    Wan, Zheng; El Makhloufi, Abdel; Chen, Yang; Tang, Jiayuan

    2018-01-01

    Ship-source greenhouse gas (GHG) emissions could increase by up to 250% by 2050 from their 2012 levels, owing to increasing global freight volumes. Binding international legal agreements to regulate GHGs, however, are lacking as technical solutions remain expensive, and crucial industrial support is absent. In 2003, the International Maritime Organization adopted Resolution A.963 (23) to regulate shipping CO 2 emissions via technical, operational, and market-based routes. However, progress has been slow and uncertain; there is no concrete emission reduction target or definitive action plan. Yet, a full-fledged roadmap may not even emerge until 2023. In this policy analysis, we revisit the progress of technical, operational, and market-based routes and the associated controversies. We argue that 1) a performance-based index, though good-intentioned, has loopholes affecting meaningful CO 2 emission reductions driven by technical advancements; 2) using slow steaming to cut energy consumption stands out among all operational solutions thanks to its immediate and obvious results, but with the already slow speed in practice, this single source has limited emission reduction potential; 3) without a technology-savvy shipping industry, a market-based approach is essentially needed to address the environmental impact. To give shipping a 50:50 chance for contributing fairly and proportionately to keep global warming below 2°C, deep emission reductions should occur soon. Copyright © 2017 Elsevier Ltd. All rights reserved.

  13. Group recommendation strategies based on collaborative filtering

    OpenAIRE

    Ricardo de Melo Queiroz, Sérgio

    2003-01-01

    Ricardo de Melo Queiroz, Sérgio; de Assis Tenório Carvalho, Francisco. Group recommendation strategies based on collaborative filtering. 2003. Dissertação (Mestrado). Programa de Pós-Graduação em Ciência da Computação, Universidade Federal de Pernambuco, Recife, 2003.

  14. Recommendations based on semantically enriched museum collections

    NARCIS (Netherlands)

    Wang, Y.; Stash, N.; Aroyo, L.M.; Gorgels, P.; Rutledge, L.W.; Schreiber, G.

    2008-01-01

    This article presents the CHIP demonstrator1 for providing personalized access to digital museum collections. It consists of three main components: Art Recommender, Tour Wizard, and Mobile Tour Guide. Based on the semantically enriched Rijksmuseum Amsterdam2 collection, we show how Semantic Web

  15. IPTV program recommendation based on combination strategies

    Directory of Open Access Journals (Sweden)

    Li Hao

    2018-01-01

    Full Text Available As a new interactive service technology, IPTV has been extensively studying in the field of TV pro-gram recommendation, but the sparse of the user-program rating matrix and the cold-start problem is a bottleneck that the program recommended accurately. In this paper, a flexible combination of two recommendation strategies proposed, which explored the sparse and cold-start problem as well as the issue of user interest change over time. This paper achieved content-based filtering section and collaborative filtering section according to the two combination strategies, which effectively solved the cold-start program and over the sparse problem and the problem of users interest change over time. The experimental results showed that this combinational recommendation system in optimal parameters compared by using any one of two combination strategies or not using any combination strategy at all, and the reducing range of MAE is [2.7%,3%].The increasing range of precision and recall is [13.8%95.5%] and [0,97.8%], respectively. The experiment showed better results when using combinational recommendation system in optimal parameters than using each combination strategies individually or not using any combination strategy.

  16. LTER network data access policy revision: report and recommendations.

    Science.gov (United States)

    James Brunt; Peter McCartney; Stuart Gage; Don. Henshaw

    2004-01-01

    This document is a report on work carried out to update the LTER Network Data Access Policy. The current LTER Network Data Access Policy, approved by the coordinating committee in 1997, has been in use since 1990. An analysis of the current policies related to the release, access, and use of LTER data has been undertaken by a sub-committee of the LTER Network...

  17. Informal alcohol in Malawi: stakeholder perceptions and policy recommendations.

    Science.gov (United States)

    Limaye, Rupali J; Rutkow, Lainie; Rimal, Rajiv N; Jernigan, David H

    2014-02-01

    Through the eyes of those involved in the alcohol policy-making process in Malawi, we explored the role of informal (non-commercial) alcohol in rural communities, its harmful effects, and implications for appropriate national policy. Harms included early drinking initiation, violence, and sexual risk exposure. Informants suggested that policy should address informal alcohol's content, selling times, and easy access. Because most informal alcohol producers are women who rely upon sales for subsistence, policies must avoid limiting women's economic opportunities while protecting community health.

  18. Policy Interventions Favouring Small Business: Rationales, Results and Recommendations

    Directory of Open Access Journals (Sweden)

    John Lester

    2017-05-01

    harming economic performance. The federal government provides a 35% tax credit for R&D performed by small firms. Provincial tax credits raise the subsidy rate to about 42%. And those firms receiving support from the federal Industrial Research Assistance Program can have almost 60% of their project costs paid by the government. By way of contrast, large firms performing R&D receive subsidies from federal and provincial tax credits amounting to under a quarter of their costs, an intervention which improves economic performance. Canada has had what could be described as a small business policy – broad-based support for all small businesses. The newish federal government is moving to an entrepreneurship policy: new initiatives emphasize support for the high-impact firms and individuals that make an outsized contribution to Canada’s innovation and prosperity. Making the transition to the new framework will require overhauling legacy small business policies to free up resources for new initiatives and to secure fiscal savings. Three changes would pay big dividends: • Eliminate the small-business corporate income tax deduction. • Reduce the enhanced R&D tax credit rate to the same level as the regular credit. • Replace the BDC’s direct loan program with a loan guarantee program.

  19. Personalized recommendation based on heat bidirectional transfer

    Science.gov (United States)

    Ma, Wenping; Feng, Xiang; Wang, Shanfeng; Gong, Maoguo

    2016-02-01

    Personalized recommendation has become an increasing popular research topic, which aims to find future likes and interests based on users' past preferences. Traditional recommendation algorithms pay more attention to forecast accuracy by calculating first-order relevance, while ignore the importance of diversity and novelty that provide comfortable experiences for customers. There are some levels of contradictions between these three metrics, so an algorithm based on bidirectional transfer is proposed in this paper to solve this dilemma. In this paper, we agree that an object that is associated with history records or has been purchased by similar users should be introduced to the specified user and recommendation approach based on heat bidirectional transfer is proposed. Compared with the state-of-the-art approaches based on bipartite network, experiments on two benchmark data sets, Movielens and Netflix, demonstrate that our algorithm has better performance on accuracy, diversity and novelty. Moreover, this method does better in exploiting long-tail commodities and cold-start problem.

  20. Main Issues on Electronic Commerce and Policy Recommendations

    Directory of Open Access Journals (Sweden)

    Chongwha Lee

    1998-03-01

    Full Text Available "Electronic Commerce" means that people sell and buy commodity, labor service and information through internet and now is mainly be used in commercial intercourse. The core of the international research related to Electronic Commerce is a tax-exemption, land tax, liberalization of encrypted technology and privacy protection policy, etc. Meanwhile, intellectual property, consumer protection and limitation of packing specification are also researched together with the business activeness. The reason why questions related to Electronic Commerce are in the back of the spotlight is that US and major countries in EU lead the international research to maximize their own benefits. These researches are related to rectify legal system framework for protecting development of Electronic Commerce and to work out international standards. Also, enlarging Electronic Commerce on online resources is also regarded as the core issue by OECD, APEC and other international organization and it is inevitable to have multilateral negotiation regarding this issue. Based on the opinion above mentioned, we collect all the problems brought by Electronic Commerce Activeness in each area in this paper and try to find out corresponding solutions to face these problems.

  1. Fiscal policy to improve diets and prevent noncommunicable diseases: from recommendations to action.

    Science.gov (United States)

    Thow, Anne Marie; Downs, Shauna M; Mayes, Christopher; Trevena, Helen; Waqanivalu, Temo; Cawley, John

    2018-03-01

    The World Health Organization has recommended that Member States consider taxing energy-dense beverages and foods and/or subsidizing nutrient-rich foods to improve diets and prevent noncommunicable diseases. Numerous countries have either implemented taxes on energy-dense beverages and foods or are considering the implementation of such taxes. However, several major challenges to the implementation of fiscal policies to improve diets and prevent noncommunicable diseases remain. Some of these challenges relate to the cross-sectoral nature of the relevant interventions. For example, as health and economic policy-makers have different administrative concerns, performance indicators and priorities, they often consider different forms of evidence in their decision-making. In this paper, we describe the evidence base for diet-related interventions based on fiscal policies and consider the key questions that need to be asked by both health and economic policy-makers. From the health sector's perspective, there is most evidence for the impact of taxes and subsidies on diets, with less evidence on their impacts on body weight or health. We highlight the importance of scope, the role of industry, the use of revenue and regressive taxes in informing policy decisions.

  2. Using research evidence to reframe the policy debate around mental illness and guns: process and recommendations.

    Science.gov (United States)

    McGinty, Emma E; Frattaroli, Shannon; Appelbaum, Paul S; Bonnie, Richard J; Grilley, Anna; Horwitz, Joshua; Swanson, Jeffrey W; Webster, Daniel W

    2014-11-01

    Recent mass shootings have prompted a national dialogue around mental illness and gun policy. To advance an evidence-informed policy agenda on this controversial issue, we formed a consortium of national gun violence prevention and mental health experts. The consortium agreed on a guiding principle for future policy recommendations: restricting firearm access on the basis of certain dangerous behaviors is supported by the evidence; restricting access on the basis of mental illness diagnoses is not. We describe the group's process and recommendations.

  3. Policy Recommendations for Developing Foreign-invested Enterprise in China

    Institute of Scientific and Technical Information of China (English)

    原磊

    2008-01-01

    China has undergone the three major stages in its development of foreign-invested enterprise: exploratory development, accelerated development and innovative development. This harnessing of foreign investment has resulted in tremendous success for China, including making up for the funds shortage for economic construction, promoting corporate technological progress and management expertise, easing employment pressure, increasing fiscal revenue and boosting trade. At the same time, there have been problems, including questions of economic security, environment and energy issues, unequal competition and problems with the management of foreign-invested enterprises. To promote the development of foreign-invested enterprises in both a healthy and rapid fashion, China should look toward "maintaining policy continuity, promoting the forward-looking nature of policy, strengthening policy guidance and highlighting policy innovativeness."

  4. APPRAISING THE EUROPEAN NEIGHBOURHOOD POLICY: BACKGROUND, IMPLEMENTATION AND RECOMMENDATIONS

    Directory of Open Access Journals (Sweden)

    Kerry Longhurst

    2011-09-01

    Full Text Available The present article tackles the European Neighbourhood Policy (ENP in the context of the European Union’s Eastern neighbours – Ukraine, Moldova and Belarus. Reflected on the May 2011 Communication drafted by the European Commission and High Representative ‘A New Response to a Changing Neighbourhood’, the article focuses on the main steps of ENP’s evolution, looking at the political and economic offer made to the partner countries, the state of the neighbourhood, the progress made in the ENP Eastern countries, the regional component of the policy.

  5. Recommendation based on trust diffusion model.

    Science.gov (United States)

    Yuan, Jinfeng; Li, Li

    2014-01-01

    Recommender system is emerging as a powerful and popular tool for online information relevant to a given user. The traditional recommendation system suffers from the cold start problem and the data sparsity problem. Many methods have been proposed to solve these problems, but few can achieve satisfactory efficiency. In this paper, we present a method which combines the trust diffusion (DiffTrust) algorithm and the probabilistic matrix factorization (PMF). DiffTrust is first used to study the possible diffusions of trust between various users. It is able to make use of the implicit relationship of the trust network, thus alleviating the data sparsity problem. The probabilistic matrix factorization (PMF) is then employed to combine the users' tastes with their trusted friends' interests. We evaluate the algorithm on Flixster, Moviedata, and Epinions datasets, respectively. The experimental results show that the recommendation based on our proposed DiffTrust + PMF model achieves high performance in terms of the root mean square error (RMSE), Recall, and F Measure.

  6. Federal Government Electronic Bulletin Boards: An Assessment with Policy Recommendations.

    Science.gov (United States)

    Bertot, John Carlo; McClure, Charles R.

    1993-01-01

    Identifies and analyzes federal government electronic bulletin boards; assesses the types of information available to users, including costs and technological access issues; discusses federal information policy; and considers the role of federal bulletin boards in accessing and managing electronic government information. (Contains 29 references.)…

  7. Policy recommendations for Canadian municipal greenhouse gas trading

    International Nuclear Information System (INIS)

    Seskus, A.

    2002-01-01

    The municipal policies regarding greenhouse gas (GHG) emissions trading from municipalities in developed countries outside of Canada were examined in an effort to help establish a position on municipal carbon trading in Canada. The main uncertainty regarding this new concept of GHG emissions trading is the fate of the Kyoto Protocol, when or if it will be ratified. It is premature for municipalities to have well-established polices about emissions trading because the country in which a municipality is located determines the position towards GHG emissions trading. For this study, an extensive literature search of municipal policies was conducted for both GHG trading and domestic national GHG trading. This was followed by a survey on emissions trading which was distributed to more than 350 member cities (including the United States, Europe and Australia) of the International Council for Environmental Initiatives (ICLEI) Cities for Climate Protection (CCP) Campaign. The literature search revealed that municipalities outside of Canada have not yet formulated policies to address the issue of emissions trading. Only 7 per cent of the cities felt that they were informed about emissions trading, even in Europe and Australia where domestic emissions trading is closer to becoming a reality. This paper demonstrated that it is evident that more training is needed for municipalities regarding this issue. For the very few cities that had developed a GHG trading policy, each municipal policy supported municipal participation in emissions trading under conditions that included an environmental retirement, a do-no-harm clause, or an obligation to meet voluntary commitments before excess emissions can be traded. refs., tabs., figs

  8. European food and nutrition policies in action. Finland's food and nutrition policy: progress, problems and recommendations.

    Science.gov (United States)

    Milio, N

    1998-01-01

    Some progress has clearly been made in several aspects of Finland's food and nutrition policy: access to nutrition information and education, improvements in mass catering, increased availability of healthier food products, and pricing and quality requirements favourable to a healthy diet. Finnish eating patterns have improved in relation to some recommended foods and macronutrients. The structural changes in farm and food production are largely the result of new political and economic realities both in Finland and internationally, resulting in the Government focusing on fiscal efficiency, decentralization and a more competitive, consumer-oriented market. This new environment is creating pressures to reduce surplus animal fat production and to expand markets in new foods for Finns and other Europeans who, for reasons of demography, health or working or living arrangements, demand new and sometimes healthier foods. Within this context, some health leaders have been able to make and work for proposals that are consistent both with political and economic imperatives and with health needs. Although the populations health status is improving and in some respects is exemplary, diet-related death and illness rates and risk factors (such as serum cholesterol and obesity) are high and their decline, along with some healthy changes in eating patterns, has slowed since the mid-1980s (ironically, since the adoption of the nutrition policy). The more slowly improvements occur, the higher will be the social and economic costs. Major problems in policy implementation exist. Although much has been done in research and demonstration and in the development of national guidelines (in public catering and labeling, for example) there is an apparent lag in translating such soft technology into action and monitoring its implementation in order to develop corrective measures at the operational level. This problem may increase with decentralized budget control and a less regulated market

  9. Main Issues on Electronic Commerce and Policy Recommendations

    OpenAIRE

    Chongwha Lee; Seongbong Lee

    1998-01-01

    "Electronic Commerce" means that people sell and buy commodity, labor service and information through internet and now is mainly be used in commercial intercourse. The core of the international research related to Electronic Commerce is a tax-exemption, land tax, liberalization of encrypted technology and privacy protection policy, etc. Meanwhile, intellectual property, consumer protection and limitation of packing specification are also researched together with the business activeness. The r...

  10. Context-aware recommender system based on ontology for recommending tourist destinations at Bandung

    Science.gov (United States)

    Rizaldy Hafid Arigi, L.; Abdurahman Baizal, Z. K.; Herdiani, Anisa

    2018-03-01

    Recommender System is software that is able to provide personalized recommendation suits users’ needs. Recommender System has been widely implemented in various domains, including tourism. One approach that can be done for more personalized recommendations is the use of contextual information. This paper proposes a context aware recommender based ontology system in the tourism domain. The system is capable of recommending tourist destinations by using user preferences of the categories of tourism and contextual information such as user locations, weather around tourist destinations and close time of destination. Based on the evaluation, the system has accuracy of of 0.94 (item recommendation precision evaluated by expert) and 0.58 (implicitly from system-end user interaction). Based on the evaluation of user satisfaction, the system provides a satisfaction level of more than 0.7 (scale 0 to 1) for speed factors for providing liked recommendations (PE), informative description of recommendations (INF) and user trust (TR).

  11. Recommendation System Based on Fuzzy Cognitive Map

    OpenAIRE

    Wei Liu; Linzhi Gao

    2014-01-01

    With the increase of data volume and visitor volume, the website faces great challenge in the environment of network. How to know the users’ requirements rapidly and effectively and recommend the required information to the user becomes the research direction of all websites. The researchers of recommendation system propose a series of recommendation system models and algorithms for the user. The common challenge faced by these algorithms is how to judge the user intention and recommend...

  12. OECD Policy Recommendations on Security for Biological Materials

    International Nuclear Information System (INIS)

    Radisch, J.

    2007-01-01

    Biomedical innovations derived from research on pathogenic micro-organisms promise astounding health and economic benefits. Some such biological resources employed in the RandD for diagnostic kits, vaccines and therapeutics, however, possess capacity for dual-use; they may be misused to develop biological weapons. Research facilities entrusted with possession of such dual-use materials have a responsibility to comply with biosecurity measures that are designed to prevent loss or theft and thereby reduce the probability of a bioterrorist attack. The OECD has provided a forum for its Member countries to engage in a dialogue of international co-operation with a view to produce policies that achieve a research environment fortified by biosecurity measures and capable of producing health innovations. In 2007, the OECD developed a risk assessment framework and risk management principles for Biological Resource Centres. Ongoing policy work at the OECD will look to design biosecurity guidelines appropriate to a broader range of facilities in possession of dual-use materials, such as university and industrial laboratories.(author)

  13. Short rotation plantations policy history in Europe: lessons from the past and recommendations for the future.

    Science.gov (United States)

    Lindegaard, Kevin N; Adams, Paul W R; Holley, Martin; Lamley, Annette; Henriksson, Annika; Larsson, Stig; von Engelbrechten, Hans-Georg; Esteban Lopez, Gonzalo; Pisarek, Marcin

    2016-08-01

    Short rotation plantations (SRPs) are fast-growing trees (such as willow ( Salix spp.), poplar ( Populus spp.) and Eucalyptus ) grown closely together and harvested in periods of 2-20 years. There are around 50,000 hectares of SRPs in Europe, a relatively small area considering that there have been supportive policy measures in many countries for 30 years. This paper looks at the effect that the policy measures used in different EU countries have had, and how other external factors have impacted on the development of the industry. Rokwood was a 3-year European funded project which attempted to understand the obstacles and barriers facing the woody energy crops sector using well established methods of SWOT and PESTLE analysis. Stakeholder groups were formed in six different European regions to analyze the market drivers and barriers for SRP and propose ways that the industry could make progress through targeted research and development and an improved policy framework. Based upon the outcomes of the SWOT and PESTLE analysis, each region produced a series of recommendations for policymakers, public authorities, and government agencies to support the development, production, and use of SRP-derived wood fuel in each of the partner countries. This study provides details of the SRP policy analysis and reveals that each region shared a number of similarities with broad themes emerging. There is a need to educate farmers and policymakers about the multifunctional benefits of SRPs. Greater financial support from regional and/or national government is required in order to grow the SRP market. Introducing targeted subsidies as an incentive for growers could address lack of local supply chains. Long-term policy initiatives should be developed while increasing clarity within Government departments. Research funding should enable closer working between universities and industry with positive research findings developed into supportive policy measures.

  14. Nuclear energy in Texas: major issues and policy recommendations

    International Nuclear Information System (INIS)

    1979-01-01

    On December 15, 1978 the Texas Energy Advisory Council (TEAC) adopted the Texas Energy Policy, 1978 Update. The Council recognized the great complexity of technical, economic, social, and political issues which have an impact on nuclear power, and therefore decided that a special committee was needed to examine in greater detail the nuclear energy issues facing Texas. This report summarizes the work of the Advisory Committee on Nuclear energy. Topics discussed include: biological affects of low levels of radiation; transportation of radioactive material in Texas; uranium mining and milling; severance tax on uranium mining; alternate reactor designs and fuel cycles; financing nuclear plant construction; cost of disposing of nuclear wastes and decommissioning nuclear plants; low-level wastes; disposal of high-level wastes; commercial spent nuclear fuel reprocessing; and transmutation of radioactive wastes

  15. 77 FR 23250 - HIT Standards Committee; Schedule for the Assessment of HIT Policy Committee Recommendations

    Science.gov (United States)

    2012-04-18

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES HIT Standards Committee; Schedule for the Assessment of HIT Policy Committee Recommendations AGENCY: Office of the National Coordinator for Health Information... 2009 mandates that the HIT Standards Committee develop a schedule for the assessment of policy...

  16. 76 FR 25355 - HIT Standards Committee; Schedule for the Assessment of HIT Policy Committee Recommendations

    Science.gov (United States)

    2011-05-04

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES HIT Standards Committee; Schedule for the Assessment of HIT Policy Committee Recommendations AGENCY: Office of the National Coordinator for Health Information... 2009 mandates that the HIT Standards Committee develop a schedule for the assessment of policy...

  17. 78 FR 29134 - HIT Standards Committee; Schedule for the Assessment of HIT Policy Committee Recommendations

    Science.gov (United States)

    2013-05-17

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES HIT Standards Committee; Schedule for the Assessment of HIT Policy Committee Recommendations AGENCY: Office of the National Coordinator for Health Information... 2009 mandates that the HIT Standards Committee develop a schedule for the assessment of policy...

  18. Evidence-based policy: implications for nursing and policy involvement.

    Science.gov (United States)

    Hewison, Alistair

    2008-11-01

    Evidence-based policy making is espoused as a central feature of government in the United Kingdom. However, an expectation that this will improve the quality of policy produced and provide a path to increased involvement of nurses in the policy process is misplaced. The purpose of this article is to demonstrate that the emphasis on evidence-based policy is problematic and cannot be regarded as a "new model" of policy making. Also, it could deflect attention from more practical approaches to policy involvement on the part of nurses. Policy development activities, acquisition of skills in policy analysis, and other forms of involvement are needed if nurses are to move along the continuum from policy literacy, through policy acumen, to policy competence. This involves taking a critical stance on the notion of evidence-based policy.

  19. Recommender system based on scarce information mining.

    Science.gov (United States)

    Lu, Wei; Chung, Fu-Lai; Lai, Kunfeng; Zhang, Liang

    2017-09-01

    Guessing what user may like is now a typical interface for video recommendation. Nowadays, the highly popular user generated content sites provide various sources of information such as tags for recommendation tasks. Motivated by a real world online video recommendation problem, this work targets at the long tail phenomena of user behavior and the sparsity of item features. A personalized compound recommendation framework for online video recommendation called Dirichlet mixture probit model for information scarcity (DPIS) is hence proposed. Assuming that each clicking sample is generated from a representation of user preferences, DPIS models the sample level topic proportions as a multinomial item vector, and utilizes topical clustering on the user part for recommendation through a probit classifier. As demonstrated by the real-world application, the proposed DPIS achieves better performance in accuracy, perplexity as well as diversity in coverage than traditional methods. Copyright © 2017 Elsevier Ltd. All rights reserved.

  20. The Tax Wedge in Slovenia: International Comparison and Policy Recommendations

    Directory of Open Access Journals (Sweden)

    Primož Dolenc

    2005-09-01

    Full Text Available When taxes on labor are introduced, a “tax wedge” appears between the labor costs paid by the employer (gross wage and the net wage received by an employee. At a certain level of wage, a higher tax wedge increases unemployment and decreases employment, all other things being equal. The paper tackles three main questions: the characteristics of the tax wedge, unemployment and employment rates in OECD countries in the recent past, tax wedge policy in the EU15 and the new EU members and the tax system and its effects on the unemployment and employment rates in Slovenia. We found that the OECD countries can be classified into two groups of countries if the tax wedge, the unemployment rate and the employment rate are taken into consideration. The first group is the high tax wedge, high unemployment rate and low employment rate group of countries, whereas the other group has the opposite characteristics. European member states (old and new have on average a higher tax burden on labor than the OECD average, consequently suffering from higher unemployment rates. Slovenia has an unreasonably high tax wedge; in the EU only Belgium and Germany have a higher tax burden. According to previous and our empirical findings we suggest that Slovenia could benefit from a reduction in the tax wedge.

  1. Implementing evidence-based policy in a network setting: road safety policy in the Netherlands.

    Science.gov (United States)

    Bax, Charlotte; de Jong, Martin; Koppenjan, Joop

    2010-01-01

    In the early 1990s, in order to improve road safety in The Netherlands, the Institute for Road Safety Research (SWOV) developed an evidence-based "Sustainable Safety" concept. Based on this concept, Dutch road safety policy, was seen as successful and as a best practice in Europe. In The Netherlands, the policy context has now changed from a sectoral policy setting towards a fragmented network in which safety is a facet of other transport-related policies. In this contribution, it is argued that the implementation strategy underlying Sustainable Safety should be aligned with the changed context. In order to explore the adjustments needed, two perspectives of policy implementation are discussed: (1) national evidence-based policies with sectoral implementation; and (2) decentralized negotiation on transport policy in which road safety is but one aspect. We argue that the latter approach matches the characteristics of the newly evolved policy context best, and conclude with recommendations for reformulating the implementation strategy.

  2. A lexicographic approach to language policy and recommendations for future dictionaries

    DEFF Research Database (Denmark)

    Tarp, Sven; Gouws, Rufus H.

    2008-01-01

    Language policy prevails at different levels and its formulation typically results in a prescriptive presentation of data. In their dictionaries, lexicographers have to respond to the deci­sions of language policy makers. In this regard dictionaries can adhere to a strict prescriptive policy...... by including only the prescribed forms. Dictionaries can also give a descriptive account of lan­guage use without making any recommendations or claims of correctness. Thirdly, dictionaries can be proscriptive by recommending certain forms, even if such a recommendation goes against the prescribed forms....... This article offers an overview of different levels of language policy and the prin­ciples of prescription, description and proscription. Examples are given to illustrate certain lexico­graphic applications of prescription. It is emphasised that access to relevant data is important to dictionary users...

  3. Healthy food procurement and nutrition standards in public facilities: evidence synthesis and consensus policy recommendations

    Directory of Open Access Journals (Sweden)

    Kim D. Raine

    2018-01-01

    Full Text Available Introduction: Unhealthy foods are widely available in public settings across Canada, contributing to diet-related chronic diseases, such as obesity. This is a concern given that public facilities often provide a significant amount of food for consumption by vulnerable groups, including children and seniors. Healthy food procurement policies, which support procuring, distributing, selling, and/or serving healthier foods, have recently emerged as a promising strategy to counter this public health issue by increasing access to healthier foods. Although numerous Canadian health and scientific organizations have recommended such policies, they have not yet been broadly implemented in Canada. Methods: To inform further policy action on healthy food procurement in a Canadian context, we: (1 conducted an evidence synthesis to assess the impact of healthy food procurement policies on health outcomes and sales, intake, and availability of healthier food, and (2 hosted a consensus conference in September 2014. The consensus conference invited experts with public health/nutrition policy research expertise, as well as health services and food services practitioner experience, to review evidence, share experiences, and develop a consensus statement/recommendations on healthy food procurement in Canada. Results: Findings from the evidence synthesis and consensus recommendations for healthy food procurement in Canada are described. Specifically, we outline recommendations for governments, publicly funded institutions, decision-makers and professionals, citizens, and researchers. Conclusion: Implementation of healthy food procurement policies can increase Canadians’ access to healthier foods as part of a broader vision for food policy in Canada.

  4. Healthy food procurement and nutrition standards in public facilities: evidence synthesis and consensus policy recommendations

    Science.gov (United States)

    Kim D., Raine; Kayla, Atkey; Dana Lee, Dana Lee; Alexa R., Ferdinands; Dominique, Beaulieu; Susan, Buhler; Norm, Campbell; Brian, Cook; Mary, L’Abbé; Ashley, Lederer; David, Mowat; Joshna, Maharaj; Candace, Nykiforuk; Jacob, Shelley; Jacqueline, Street

    2018-01-01

    Abstract Introduction: Unhealthy foods are widely available in public settings across Canada, contributing to diet-related chronic diseases, such as obesity. This is a concern given that public facilities often provide a significant amount of food for consumption by vulnerable groups, including children and seniors. Healthy food procurement policies, which support procuring, distributing, selling, and/or serving healthier foods, have recently emerged as a promising strategy to counter this public health issue by increasing access to healthier foods. Although numerous Canadian health and scientific organizations have recommended such policies, they have not yet been broadly implemented in Canada. Methods: To inform further policy action on healthy food procurement in a Canadian context, we: (1) conducted an evidence synthesis to assess the impact of healthy food procurement policies on health outcomes and sales, intake, and availability of healthier food, and (2) hosted a consensus conference in September 2014. The consensus conference invited experts with public health/nutrition policy research expertise, as well as health services and food services practitioner experience, to review evidence, share experiences, and develop a consensus statement/recommendations on healthy food procurement in Canada. Results: Findings from the evidence synthesis and consensus recommendations for healthy food procurement in Canada are described. Specifically, we outline recommendations for governments, publicly funded institutions, decision-makers and professionals, citizens, and researchers. Conclusion: Implementation of healthy food procurement policies can increase Canadians’ access to healthier foods as part of a broader vision for food policy in Canada. PMID:29323862

  5. Nuclear safety policy working group recommendations on nuclear propulsion safety for the space exploration initiative

    Science.gov (United States)

    Marshall, Albert C.; Lee, James H.; Mcculloch, William H.; Sawyer, J. Charles, Jr.; Bari, Robert A.; Cullingford, Hatice S.; Hardy, Alva C.; Niederauer, George F.; Remp, Kerry; Rice, John W.

    1993-01-01

    An interagency Nuclear Safety Working Group (NSPWG) was chartered to recommend nuclear safety policy, requirements, and guidelines for the Space Exploration Initiative (SEI) nuclear propulsion program. These recommendations, which are contained in this report, should facilitate the implementation of mission planning and conceptual design studies. The NSPWG has recommended a top-level policy to provide the guiding principles for the development and implementation of the SEI nuclear propulsion safety program. In addition, the NSPWG has reviewed safety issues for nuclear propulsion and recommended top-level safety requirements and guidelines to address these issues. These recommendations should be useful for the development of the program's top-level requirements for safety functions (referred to as Safety Functional Requirements). The safety requirements and guidelines address the following topics: reactor start-up, inadvertent criticality, radiological release and exposure, disposal, entry, safeguards, risk/reliability, operational safety, ground testing, and other considerations.

  6. Climate change and mountain water resources: overview and recommendations for research, management and policy

    Directory of Open Access Journals (Sweden)

    D. Viviroli

    2011-02-01

    Full Text Available Mountains are essential sources of freshwater for our world, but their role in global water resources could well be significantly altered by climate change. How well do we understand these potential changes today, and what are implications for water resources management, climate change adaptation, and evolving water policy? To answer above questions, we have examined 11 case study regions with the goal of providing a global overview, identifying research gaps and formulating recommendations for research, management and policy.

    After setting the scene regarding water stress, water management capacity and scientific capacity in our case study regions, we examine the state of knowledge in water resources from a highland-lowland viewpoint, focusing on mountain areas on the one hand and the adjacent lowland areas on the other hand. Based on this review, research priorities are identified, including precipitation, snow water equivalent, soil parameters, evapotranspiration and sublimation, groundwater as well as enhanced warming and feedback mechanisms. In addition, the importance of environmental monitoring at high altitudes is highlighted. We then make recommendations how advancements in the management of mountain water resources under climate change could be achieved in the fields of research, water resources management and policy as well as through better interaction between these fields.

    We conclude that effective management of mountain water resources urgently requires more detailed regional studies and more reliable scenario projections, and that research on mountain water resources must become more integrative by linking relevant disciplines. In addition, the knowledge exchange between managers and researchers must be improved and oriented towards long-term continuous interaction.

  7. Therapy Decision Support Based on Recommender System Methods.

    Science.gov (United States)

    Gräßer, Felix; Beckert, Stefanie; Küster, Denise; Schmitt, Jochen; Abraham, Susanne; Malberg, Hagen; Zaunseder, Sebastian

    2017-01-01

    We present a system for data-driven therapy decision support based on techniques from the field of recommender systems. Two methods for therapy recommendation, namely, Collaborative Recommender and Demographic-based Recommender , are proposed. Both algorithms aim to predict the individual response to different therapy options using diverse patient data and recommend the therapy which is assumed to provide the best outcome for a specific patient and time, that is, consultation. The proposed methods are evaluated using a clinical database incorporating patients suffering from the autoimmune skin disease psoriasis. The Collaborative Recommender proves to generate both better outcome predictions and recommendation quality. However, due to sparsity in the data, this approach cannot provide recommendations for the entire database. In contrast, the Demographic-based Recommender performs worse on average but covers more consultations. Consequently, both methods profit from a combination into an overall recommender system.

  8. Therapy Decision Support Based on Recommender System Methods

    Directory of Open Access Journals (Sweden)

    Felix Gräßer

    2017-01-01

    Full Text Available We present a system for data-driven therapy decision support based on techniques from the field of recommender systems. Two methods for therapy recommendation, namely, Collaborative Recommender and Demographic-based Recommender, are proposed. Both algorithms aim to predict the individual response to different therapy options using diverse patient data and recommend the therapy which is assumed to provide the best outcome for a specific patient and time, that is, consultation. The proposed methods are evaluated using a clinical database incorporating patients suffering from the autoimmune skin disease psoriasis. The Collaborative Recommender proves to generate both better outcome predictions and recommendation quality. However, due to sparsity in the data, this approach cannot provide recommendations for the entire database. In contrast, the Demographic-based Recommender performs worse on average but covers more consultations. Consequently, both methods profit from a combination into an overall recommender system.

  9. Tactical Dispersal of Fighter Aircraft: Risk, Uncertainty, and Policy Recommendations.

    Science.gov (United States)

    1987-02-01

    against armour and soft skinned vehicles, parked aircraft, and personnel, and are distributed evenly within the pattern... 147 bomblets are carried...initiated using such techniques as tone down paint schemes and camouflage netting. Active defenses have been enhanced. Patriot is replacing Nike , and...such as this. A0 vS I P l Il - 41 - V. ANALYSIS But we must ourselves take care not to acquire a Maginot dependence upon ground based static systems

  10. Policy Interventions Favouring Small Business: Rationales, Results and Recommendations

    OpenAIRE

    John Lester

    2017-01-01

    Small business has a well-deserved reputation as the driver of job growth and as a key contributor to innovation. In the 12 years ending in 2013, small and medium-sized enterprises (SMEs) accounted for about 90% of private sector job growth in Canada. What is less well-recognized, however, is that a small fraction of SMEs account for most of the job growth and innovation. As a result, governments have offered broad-based support for small businesses, rather than focusing on high-impact entrep...

  11. Recommendations for NRC policy on shift scheduling and overtime at nuclear power plants

    Energy Technology Data Exchange (ETDEWEB)

    Lewis, P.M.

    1985-07-01

    This report contains the Pacific Northwest Laboratory's (PNL's) recommendations to the US Nuclear Regulatory Commission (NRC) for an NRC policy on shift scheduling and hours of work (including overtime) for control room operators and other safety-related personnel in nuclear power plants. First, it is recommended that NRC make three additions to its present policy on overtime: (1) limit personnel to 112 hours of work in a 14-day period, 192 hours in 28 days, and 2260 hours in one year; exceeding these limits would require plant manager approval; (2) add a requirement that licensees obtain approval from NRC if plant personnel are expected to exceed 72 hours of work in a 7-day period, 132 hours in 14 days, 228 hours in 28 days, and 2300 hours in one year; and (3) make the policy a requirement, rather than a nonbinding recommendation. Second, it is recommended that licensees be required to obtain NRC approval to adopt a routine 12-hour/day shift schedule. Third, it is recommended that NRC add several nonbinding recommendations concerning routine 8-hour/day schedules. Finally, because additional data can strengthen the basis for future NRC policy on overtime, five methods are suggested for collecting data on overtime and its effects. 44 refs., 10 tabs.

  12. Recommendations for NRC policy on shift scheduling and overtime at nuclear power plants

    International Nuclear Information System (INIS)

    Lewis, P.M.

    1985-07-01

    This report contains the Pacific Northwest Laboratory's (PNL's) recommendations to the US Nuclear Regulatory Commission (NRC) for an NRC policy on shift scheduling and hours of work (including overtime) for control room operators and other safety-related personnel in nuclear power plants. First, it is recommended that NRC make three additions to its present policy on overtime: (1) limit personnel to 112 hours of work in a 14-day period, 192 hours in 28 days, and 2260 hours in one year; exceeding these limits would require plant manager approval; (2) add a requirement that licensees obtain approval from NRC if plant personnel are expected to exceed 72 hours of work in a 7-day period, 132 hours in 14 days, 228 hours in 28 days, and 2300 hours in one year; and (3) make the policy a requirement, rather than a nonbinding recommendation. Second, it is recommended that licensees be required to obtain NRC approval to adopt a routine 12-hour/day shift schedule. Third, it is recommended that NRC add several nonbinding recommendations concerning routine 8-hour/day schedules. Finally, because additional data can strengthen the basis for future NRC policy on overtime, five methods are suggested for collecting data on overtime and its effects. 44 refs., 10 tabs

  13. Evidence-based policy

    DEFF Research Database (Denmark)

    Vohnsen, Nina Holm

    2013-01-01

    -makers and the research community (e.g. Boden & Epstein 2006; House of Commons 2006; Cartwright et al 2009; Rod 2010; Vohnsen 2011). This article intends to draw out some general pitfalls in the curious meeting of science and politics by focusing on a particular attempt to make evidence-based legislation in Denmark (for...

  14. A Community-Driven Approach to Generate Urban Policy Recommendations for Obesity Prevention

    Directory of Open Access Journals (Sweden)

    Julia Díez

    2018-03-01

    Full Text Available There is an increasing research interest in targeting interventions at the neighborhood level to prevent obesity. Healthy urban environments require including residents’ perspectives to help understanding how urban environments relate to residents’ food choices and physical activity levels. We describe an innovative community-driven process aimed to develop environmental recommendations for obesity prevention. We conducted this study in a low-income area in Madrid (Spain, using a collaborative citizen science approach. First, 36 participants of two previous Photovoice projects translated their findings into policy recommendations, using an adapted logical framework approach. Second, the research team grouped these recommendations into strategies for obesity prevention, using the deductive analytical strategy of successive approximation. Third, through a nominal group session including participants, researchers, public health practitioners and local policy-makers, we discussed and prioritized the obesity prevention recommendations. Participants identified 12 policy recommendations related to their food choices and 18 related to their physical activity. The research team grouped these into 11 concrete recommendations for obesity prevention. The ‘top-three’ ranked recommendations were: (1 to adequate and increase the number of public open spaces; (2 to improve the access and cost of existing sports facilities and (3 to reduce the cost of gluten-free and diabetic products.

  15. A Classification-based Review Recommender

    Science.gov (United States)

    O'Mahony, Michael P.; Smyth, Barry

    Many online stores encourage their users to submit product/service reviews in order to guide future purchasing decisions. These reviews are often listed alongside product recommendations but, to date, limited attention has been paid as to how best to present these reviews to the end-user. In this paper, we describe a supervised classification approach that is designed to identify and recommend the most helpful product reviews. Using the TripAdvisor service as a case study, we compare the performance of several classification techniques using a range of features derived from hotel reviews. We then describe how these classifiers can be used as the basis for a practical recommender that automatically suggests the mosthelpful contrasting reviews to end-users. We present an empirical evaluation which shows that our approach achieves a statistically significant improvement over alternative review ranking schemes.

  16. Micronutrient recommendations and policies in Spain: the cases of iodine, folic acid and vitamin D.

    Science.gov (United States)

    Brito Garcia, N; Serra Majem, L

    2012-01-01

    INTRODUCCIÓN: As part of the work carried out within the EURopean micronutrient RECommendations Aligned (EURRECA) Network of Excellence in Spain, we conducted a series of semi-structured interviews with decision makers and relevant scientific institutions in the field of nutrition and public health. The information gathered was collated with national relevant official and unofficial documents and subsequently analysed. To describe the current situation about nutrition policy in Spain, with special focus on the process of setting micronutrient recommendations and the development of subsequent policies. 3 cases will be detailed: iodine, folic acid and vitamin D. Information from 9 interviews was contrasted with the available official and unofficial documents on micronutrients recommendations setting and subsequent policy applications to help the population to achieve their requirements. Common topics and themes were identified in the interviews and desk research. They describe a heterogenic picture of isolated initiatives and timid measures regarding micronutrients recommendations and subsequent policy instruments. Several recommendations coexist but none of them is the result of an official request by the government or competent authority. Iodine, folic acid and vitamin D represent the past, the present and the future of public health policy measures on micronutrients in Spain. Despite of some examples, there exist a need for action. Current nutrition strategies are focused on obesity, with little room for micronutrients national measures despite of the opinion of many experts. Regardless of the several nutrients recommendations coexisting nowadays in Spain, there exist the need for a coordinated action in the field of micronutrients recommendations, fostered by the health and nutrition official authorities with financial support and clear terms of reference.

  17. Item-Based Top-N Recommendation Algorithms

    National Research Council Canada - National Science Library

    Deshpande, Mukund; Karypis, George

    2003-01-01

    ... items that will be of interest to a certain user. User-based collaborative filtering is the most successful technology for building recommender systems to date, and is extensively used in many commercial recommender systems...

  18. Evaluation of Item-Based Top-N Recommendation Algorithms

    National Research Council Canada - National Science Library

    Karypis, George

    2000-01-01

    ... items that will be of interest to a certain user. User-based Collaborative filtering is the most successful technology for building recommender systems to date, and is extensively used in many commercial recommender systems...

  19. Developing recommendations to improve the quality of diabetes care in Ireland: a policy analysis.

    LENUS (Irish Health Repository)

    Mc Hugh, Sheena M

    2014-09-01

    In 2006, the Health Service Executive (HSE) in Ireland established an Expert Advisory Group (EAG) for Diabetes, to act as its main source of operational policy and strategic advice for this chronic condition. The process was heralded as the starting point for the development of formal chronic disease management programmes. Although recommendations were published in 2008, implementation did not proceed as expected. Our aim was to examine the development of recommendations by the EAG as an instrumental case study of the policy formulation process, in the context of a health system undergoing organisational and financial upheaval.

  20. Conclusions and recommendations based on interim report

    International Nuclear Information System (INIS)

    Benson, B.

    1991-01-01

    This memorandum discusses five key issues that initial interviews have brought into focus: The preoccupation of the public with nuclear waste disposal, the credibility of public opinion polls addressing nuclear power, the unlikelihood of dramatic change in opinion by nuclear critics, difficulties in communicating technical concepts, and the problem of focussing narrowly or broadly on policy issues

  1. Dismantling the Afghan Opiate Economy: A Cultural and Historical Policy Assessment, with Policy Recommendations

    National Research Council Canada - National Science Library

    Byrom, Christopher L

    2005-01-01

    .... Specific lessons are taken from a chapter dedicated to Afghan culture, history, and rural power structures, and applied in chapters analyzing the opiate economy and current counter-narcotics policies...

  2. Breast abscess: evidence based management recommendations.

    Science.gov (United States)

    Lam, Elaine; Chan, Tiffany; Wiseman, Sam M

    2014-07-01

    Literature review was carried out and studies reporting on treatment of breast abscesses were critically appraised for quality and their level of evidence using the Strength of Recommendation Taxonomy guidelines, and key recommendations were summarized. Needle aspiration either with or without ultrasound guidance should be employed as first line treatment of breast abscesses. This approach has the potential benefits of: superior cosmesis, shorter healing time, and avoidance of general anaesthesia. Multiple aspiration sessions may be required for cure. Ultrasound-guided percutaneous catheter placement may be considered as an alternative approach for treatment of larger abscesses (>3 cm). Surgical incision and drainage should be considered for first line therapy in large (>5 cm), multiloculated, or long standing abscesses, or if percutaneous drainage is unsuccessful. All patients should be treated concurrently with antibiotics. Patients with recurrent subareolar abscesses and fistulas should be referred for consideration of surgical treatment.

  3. Movie Recommendation System Based on Collaborative Filtering

    OpenAIRE

    Kejun, Wang

    2013-01-01

    With the explosively growing of the technologies and services of the Internet, the information data world increases rapidly. Recommendation systems have acted an important role in many ways, including movies, books, friends, shopping on net and music. Especially like today, people are surrounded by mass of information. People try to find their preferred movies. It has become difficult when facing so many kinds of movies. People may dizzied by plenty of items on the net, they don't know how to...

  4. Mobile-Based Recommendation System in Conferences

    OpenAIRE

    Hernández de la Iglesia, Daniel; Moreno García, María N.; Omatu, Sigeru

    2017-01-01

    Today information is a very important asset for organizations. Obtaining and interpreting information in real time can be a major benefit in decision making. For this reason, we have developed a mobile application that uses WiFi access points to locate users who are attending conferences and exhibits. The application can generate a dataset according to the user’s preferences and on-site location, and provide personalized recommendations accordingly.

  5. Association of American Universities Policy Recommendations for President-Elect Obama

    Science.gov (United States)

    Association of American Universities, 2008

    2008-01-01

    In this document, the Association of American Universities offers a series of research and technology policy recommendations that would help our nation to continue its global pre-eminence in science and high technology, improve the quality of life and national security of our citizens, and speed our nation's economic recovery. After policy…

  6. Final study summary and policy recommendations: participatory citizenship in the European Union

    OpenAIRE

    Hoskins, Bryony; Kerr, David

    2012-01-01

    The findings from the Participatory Citizenship in the European Union study suggest a number of key recommendations concerning policies, practices and effective approaches towards overcoming barriers to Participatory Citizenship in Europe. These keyrecommendations are summarised below and are explained in more detail in this report

  7. Improving Tensor Based Recommenders with Clustering

    DEFF Research Database (Denmark)

    Leginus, Martin; Dolog, Peter; Zemaitis, Valdas

    2012-01-01

    Social tagging systems (STS) model three types of entities (i.e. tag-user-item) and relationships between them are encoded into a 3-order tensor. Latent relationships and patterns can be discovered by applying tensor factorization techniques like Higher Order Singular Value Decomposition (HOSVD),...... of the recommendations and execution time are improved and memory requirements are decreased. The clustering is motivated by the fact that many tags in a tag space are semantically similar thus the tags can be grouped. Finally, promising experimental results are presented...

  8. Environment based innovation: policy questions

    Directory of Open Access Journals (Sweden)

    Mario Rui Silva

    2009-12-01

    Full Text Available Natural resources and physical cultural resources, referred to in this paper as “Environmental Resources”, can be important assets for regional competitiveness and innovation. In recent years, these types of assets have been increasingly taken into consideration in the design and implementation of regional development strategies, as a consequence of their potential role as a source of differentiation and of new competitive advantages. However, in contrast to environmental policies, which usually focus on the protection of the environment, innovation policies and their instruments are largely shaped by, and geared towards, knowledge-based innovation.In this paper, we discuss the role played by environmental resources in the context of regional innovation policies. We begin by discussing the relationship between environmental resources and regional development, and by emphasizing some contrasting views with regard to the function of environmental resources in regional development. Then, we address the relationship between regional competitive advantages and innovation strategies. The specific issues and problems that arise whenever the aim is to attain competitive advantages through the valorisation of environmental resources constitute the core of section III. In that section, we highlight the specific characteristics of environmental resources and we discuss the applicability of the “natural resource curse” argument to the dynamics based on the valorisation of environmental resources. The reasons that justify public interventionas well as the difficulties concerning the adequate level of intervention (local / regional / national are also examined. The paper ends with some conclusions and policy implications.

  9. Research on personalized recommendation algorithm based on spark

    Science.gov (United States)

    Li, Zeng; Liu, Yu

    2018-04-01

    With the increasing amount of data in the past years, the traditional recommendation algorithm has been unable to meet people's needs. Therefore, how to better recommend their products to users of interest, become the opportunities and challenges of the era of big data development. At present, each platform enterprise has its own recommendation algorithm, but how to make efficient and accurate push information is still an urgent problem for personalized recommendation system. In this paper, a hybrid algorithm based on user collaborative filtering and content-based recommendation algorithm is proposed on Spark to improve the efficiency and accuracy of recommendation by weighted processing. The experiment shows that the recommendation under this scheme is more efficient and accurate.

  10. Creating adaptive web recommendation system based on user behavior

    Science.gov (United States)

    Walek, Bogdan

    2018-01-01

    The paper proposes adaptive web recommendation system based on user behavior. The proposed system uses expert system to evaluating and recommending suitable items of content. Relevant items are subsequently evaluated and filtered based on history of visited items and user´s preferred categories of items. Main parts of the proposed system are presented and described. The proposed recommendation system is verified on specific example.

  11. A Location-Based Business Information Recommendation Algorithm

    Directory of Open Access Journals (Sweden)

    Shudong Liu

    2015-01-01

    Full Text Available Recently, many researches on information (e.g., POI, ADs recommendation based on location have been done in both research and industry. In this paper, we firstly construct a region-based location graph (RLG, in which region node respectively connects with user node and business information node, and then we propose a location-based recommendation algorithm based on RLG, which can combine with user short-ranged mobility formed by daily activity and long-distance mobility formed by social network ties and sequentially can recommend local business information and long-distance business information to users. Moreover, it can combine user-based collaborative filtering with item-based collaborative filtering, and it can alleviate cold start problem which traditional recommender systems often suffer from. Empirical studies from large-scale real-world data from Yelp demonstrate that our method outperforms other methods on the aspect of recommendation accuracy.

  12. Algorithm Research of Individualized Travelling Route Recommendation Based on Similarity

    Directory of Open Access Journals (Sweden)

    Xue Shan

    2015-01-01

    Full Text Available Although commercial recommendation system has made certain achievement in travelling route development, the recommendation system is facing a series of challenges because of people’s increasing interest in travelling. It is obvious that the core content of the recommendation system is recommendation algorithm. The advantages of recommendation algorithm can bring great effect to the recommendation system. Based on this, this paper applies traditional collaborative filtering algorithm for analysis. Besides, illustrating the deficiencies of the algorithm, such as the rating unicity and rating matrix sparsity, this paper proposes an improved algorithm combing the multi-similarity algorithm based on user and the element similarity algorithm based on user, so as to compensate for the deficiencies that traditional algorithm has within a controllable range. Experimental results have shown that the improved algorithm has obvious advantages in comparison with the traditional one. The improved algorithm has obvious effect on remedying the rating matrix sparsity and rating unicity.

  13. The transparency of published health technology assessment-based recommendations on pharmaceutical reimbursement in Poland.

    Science.gov (United States)

    Bochenek, Tomasz; Kocot, Ewa; Rodzinka, Marcin; Godman, Brian; Maciejewska, Katarzyna; Kamal, Susan; Pilc, Andrzej

    2017-08-01

    The appropriate access to public information is very important for healthcare system stakeholders. The goal of this study was to examine how the execution of the formally existing right to public information on the HTA-based recommendations on reimbursement of new health technologies from public funds has been changing in Poland. All recommendations published within two predefined equal periods of time between 2013 and 2015 were analyzed. The gathered data was subjected to statistical analysis. The frequency and intensity of censoring the published HTA-based recommendations on the pharmaceutical reimbursement has diminished. The text readability and clarity of message has improved, although the degree of decisiveness of the recommendations has dropped. The positive changes in the public communication policy should be continued. The transparency of the HTA-based recommendations should be increased further in some areas in the future.

  14. Music playlist recommendation based on user heartbeat and music preference

    NARCIS (Netherlands)

    Liu, H.; Hu, J.; Rauterberg, G.W.M.

    2009-01-01

    In this paper, we present a new user heartbeat and preference aware music recommendation system. The system can not only recommend a music playlist based on the user’s music preference but also the music playlist is generated based on the user’s heartbeat. If the user’s heartbeat is higher than the

  15. Generic knowledge-based analysis of social media for recommendations

    NARCIS (Netherlands)

    de Graaff, V.; van de Venis, Anne; van Keulen, Maurice; de By, R.A.; Bogers, Toine; Koolen, Marijn

    2015-01-01

    Recommender systems have been around for decades to help people find the best matching item in a pre-defined item set. Knowledge-based recommender systems are used to match users based on information that links the two, but they often focus on a single, specific application, such as movies to watch

  16. Morphea: Evidence-based recommendations for treatment

    OpenAIRE

    Nicole M Fett

    2012-01-01

    Morphea is a rare fibrosing disorder of the skin. Evidence-based treatment strategies in morphea are lacking. This review summarizes the available data on morphea treatment and provides therapeutic strategies based on morphea subtypes. The Cochrane Library, Medline and Embase from inception until May of 2011 were searched using the key words "morphea" and "morphea treatment." Reference lists of the resultant articles, as well as relevant reviews, were also searched. This review focuses on ran...

  17. Morphea: Evidence-based recommendations for treatment

    Directory of Open Access Journals (Sweden)

    Nicole M Fett

    2012-01-01

    Full Text Available Morphea is a rare fibrosing disorder of the skin. Evidence-based treatment strategies in morphea are lacking. This review summarizes the available data on morphea treatment and provides therapeutic strategies based on morphea subtypes. The Cochrane Library, Medline and Embase from inception until May of 2011 were searched using the key words "morphea" and "morphea treatment." Reference lists of the resultant articles, as well as relevant reviews, were also searched. This review focuses on randomized controlled trials, prospective interventional trials without controls and retrospective reviews with greater than five subjects.

  18. Recommendations for a Habitability Data Base.

    Science.gov (United States)

    Illinois Univ., Urbana. Library Research Center.

    A prototype Habitability Data Base was developed for the United States Army Corps of Engineers. From a review of selected Army documents, standards in the form of goals or architectural criteria were identified as significant to man-environment relations (MER). A search of appropriate information systems was conducted to retrieve a minimum of 500…

  19. Health policy and systems research training: global status and recommendations for action

    Science.gov (United States)

    Tancred, Tara M; Schleiff, Meike; Peters, David H

    2016-01-01

    Abstract Objective To investigate the characteristics of health policy and systems research training globally and to identify recommendations for improvement and expansion. Methods We identified institutions offering health policy and systems research training worldwide. In 2014, we recruited participants from identified institutions for an online survey on the characteristics of the institutions and the courses given. Survey findings were explored during in-depth interviews with selected key informants. Findings The study identified several important gaps in health policy and systems research training. There were few courses in central and eastern Europe, the Middle East, North Africa or Latin America. Most (116/152) courses were instructed in English. Institutional support for courses was often lacking and many institutions lacked the critical mass of trained individuals needed to support doctoral and postdoctoral students. There was little consistency between institutions in definitions of the competencies required for health policy and systems research. Collaboration across disciplines to provide the range of methodological perspectives the subject requires was insufficient. Moreover, the lack of alternatives to on-site teaching may preclude certain student audiences such as policy-makers. Conclusion Training in health policy and systems research is important to improve local capacity to conduct quality research in this field. We provide six recommendations to improve the content, accessibility and reach of training. First, create a repository of information on courses. Second, establish networks to support training. Third, define competencies in health policy and systems research. Fourth, encourage multidisciplinary collaboration. Fifth, expand the geographical and language coverage of courses. Finally, consider alternative teaching formats. PMID:27429488

  20. Developing recommendations to improve the quality of diabetes care in Ireland: a policy analysis.

    Science.gov (United States)

    Mc Hugh, Sheena M; Perry, Ivan J; Bradley, Colin; Brugha, Ruairí

    2014-09-18

    In 2006, the Health Service Executive (HSE) in Ireland established an Expert Advisory Group (EAG) for Diabetes, to act as its main source of operational policy and strategic advice for this chronic condition. The process was heralded as the starting point for the development of formal chronic disease management programmes. Although recommendations were published in 2008, implementation did not proceed as expected. Our aim was to examine the development of recommendations by the EAG as an instrumental case study of the policy formulation process, in the context of a health system undergoing organisational and financial upheaval. This study uses Kingdon's Multiple Streams Theory to examine the evolution of the EAG recommendations. Semi-structured interviews were conducted with a purposive sample of 15 stakeholders from the advisory group. Interview data were supplemented with documentary analysis of published and unpublished documents. Thematic analysis was guided by the propositions of the Kingdon model. In the problem stream, the prioritisation of diabetes within the policy arena was a gradual process resulting from an accumulation of evidence, international comparison, and experience. The policy stream was bolstered by group consensus rather than complete agreement on the best way to manage the condition. The EAG assumed the politics stream was also on course to converge with the other streams, as the group was established by the HSE, which had the remit for policy implementation. However, the politics stream did not converge due to waning support from health service management and changes to the organisational structure and financial capacity of the health system. These changes trumped the EAG process and the policy window remained closed, stalling implementation. Our results reflect the dynamic nature of the policy process and the importance of timing. The results highlight the limits of rational policy making in the face of organisational and fiscal upheaval

  1. Radon in HUD assisted multifamily housing: Policy recommendations to the Congress

    International Nuclear Information System (INIS)

    1991-04-01

    The report complies with Section 1091 of the Stewart B. McKinney Homeless Assistance Amendments Act of 1988 which requires that the HUD Secretary report to the Congress on a recommended policy for addressing radon contamination in specified housing. The housing specified in the Act is virtually all rental housing predominantly for low-income and moderate-income households. Almost all of it is multifamily housing: row houses, walk-up apartment buildings, or high-rise buildings. There is inadequate information on the extent to which excessive concentrations of radon occur above the first floor of multistory buildings and on the variation in radon concentrations in attached houses in the same row. HUD's recommended policy is in the four topic areas specified in the Act: research, education, testing, and mitigation

  2. Reducing the Impact of Immigration Enforcement Policies to Ensure the Health of North Carolinians: Statewide Community-Level Recommendations.

    Science.gov (United States)

    Mann, Lilli; Simán, Florence M; Downs, Mario; Sun, Christina J; de Hernandez, Brisa Urquieta; García, Manuel; Alonzo, Jorge; Lawlor, Emma; Rhodes, Scott D

    2016-01-01

    Research indicates that fear of immigration enforcement among Latinos in North Carolina results in limited access to and utilization of health services and negative health consequences. This project developed recommendations to mitigate the public health impact of immigration enforcement policies in North Carolina. Our community-based participatory research partnership conducted 6 Spanish-language report-backs (an approach to sharing, validating, and interpreting data) and 3 bilingual forums with community members and public health leaders throughout North Carolina. The goals of these events were to discuss the impact of immigration enforcement on Latino health and develop recommendations to increase health services access and utilization. Findings from the report-backs and forums were analyzed using grounded theory to identify and refine common recommendations. A total of 344 people participated in the report-backs and forums. Eight recommendations emerged: increase knowledge among Latinos about local health services; build capacity to promote policy changes; implement system-level changes among organizations providing health services; train lay health advisors to help community members navigate systems; share Latinos' experiences with policy makers; reduce transportation barriers; increase schools' support of Latino families; and increase collaboration among community members, organizations, health care providers, and academic researchers. Representatives from 16 of 100 North Carolina counties participated. These 16 counties represent geographically diverse regions, and many of these counties have large Latino populations. Immigration enforcement is a public health issue. Participants proposed developing new partnerships, identifying strategies, and implementing action steps for carrying out recommendations to reduce negative health outcomes among Latinos in North Carolina. ©2016 by the North Carolina Institute of Medicine and The Duke Endowment. All rights

  3. A LITERATURE SURVEY ON RECOMMENDATION SYSTEM BASED ON SENTIMENTAL ANALYSIS

    OpenAIRE

    Achin Jain; Vanita Jain; Nidhi Kapoor

    2016-01-01

    Recommender systems have grown to be a critical research subject after the emergence of the first paper on collaborative filtering in the Nineties. Despite the fact that educational studies on recommender systems, has extended extensively over the last 10 years, there are deficiencies in the complete literature evaluation and classification of that research. Because of this, we reviewed articles on recommender structures, and then classified those based on sentiment analysis. The articles are...

  4. TDCCREC: AN EFFICIENT AND SCALABLE WEB-BASED RECOMMENDATION SYSTEM

    Directory of Open Access Journals (Sweden)

    K.Latha

    2010-10-01

    Full Text Available Web browsers are provided with complex information space where the volume of information available to them is huge. There comes the Recommender system which effectively recommends web pages that are related to the current webpage, to provide the user with further customized reading material. To enhance the performance of the recommender systems, we include an elegant proposed web based recommendation system; Truth Discovery based Content and Collaborative RECommender (TDCCREC which is capable of addressing scalability. Existing approaches such as Learning automata deals with usage and navigational patterns of users. On the other hand, Weighted Association Rule is applied for recommending web pages by assigning weights to each page in all the transactions. Both of them have their own disadvantages. The websites recommended by the search engines have no guarantee for information correctness and often delivers conflicting information. To solve them, content based filtering and collaborative filtering techniques are introduced for recommending web pages to the active user along with the trustworthiness of the website and confidence of facts which outperforms the existing methods. Our results show how the proposed recommender system performs better in predicting the next request of web users.

  5. Marine renewable energy policy in China and recommendations for improving implementation

    Science.gov (United States)

    Wang, Haifeng; Wang, Ji; Liu, Yuxin; Chen, Libo

    2018-02-01

    Renewable energy is the effective solution for the harmonious coexistence of human and environment as well as for the sustainable development. Marine renewable energy as one of the renewable energies, potentially offer fewer environmental risks and thus community acceptance than other renewable energy developments. Government support is the key and initial power for developing marine renewable energy. To promote the development and utilization of marine renewable energy, the Chinese government has established the special funding plan for marine renewable energy, and released “the 13th Five-years Plan (2016-2020) for marine renewable energy”. This paper describes the mechanisms established by the marine renewable Energy policy in China, and provides a comparative analysis of the Chinese marine renewable energy policy framework. We provides some policy recommendations for future development of marine renewable energy in China.

  6. Semantic content-based recommendations using semantic graphs.

    Science.gov (United States)

    Guo, Weisen; Kraines, Steven B

    2010-01-01

    Recommender systems (RSs) can be useful for suggesting items that might be of interest to specific users. Most existing content-based recommendation (CBR) systems are designed to recommend items based on text content, and the items in these systems are usually described with keywords. However, similarity evaluations based on keywords suffer from the ambiguity of natural languages. We present a semantic CBR method that uses Semantic Web technologies to recommend items that are more similar semantically with the items that the user prefers. We use semantic graphs to represent the items and we calculate the similarity scores for each pair of semantic graphs using an inverse graph frequency algorithm. The items having higher similarity scores to the items that are known to be preferred by the user are recommended.

  7. Diffusion-based recommendation with trust relations on tripartite graphs

    Science.gov (United States)

    Wang, Ximeng; Liu, Yun; Zhang, Guangquan; Xiong, Fei; Lu, Jie

    2017-08-01

    The diffusion-based recommendation approach is a vital branch in recommender systems, which successfully applies physical dynamics to make recommendations for users on bipartite or tripartite graphs. Trust links indicate users’ social relations and can provide the benefit of reducing data sparsity. However, traditional diffusion-based algorithms only consider rating links when making recommendations. In this paper, the complementarity of users’ implicit and explicit trust is exploited, and a novel resource-allocation strategy is proposed, which integrates these two kinds of trust relations on tripartite graphs. Through empirical studies on three benchmark datasets, our proposed method obtains better performance than most of the benchmark algorithms in terms of accuracy, diversity and novelty. According to the experimental results, our method is an effective and reasonable way to integrate additional features into the diffusion-based recommendation approach.

  8. Privacy-Preserving Content-Based Recommendations through Homomorphic Encryption

    NARCIS (Netherlands)

    Erkin, Z.; Erkin, Zekeriya; Beye, M.; Veugen, T.; Lagendijk, R.L.

    2012-01-01

    By offering personalized content to users, recommender systems have become a vital tool in ecommerce and online media applications. Content-based algorithms recommend items or products to users, that are most similar to those previously purchased or consumed. Unfortunately, collecting and storing

  9. Privacy-Preserving Content-Based Recommender System

    NARCIS (Netherlands)

    Erkin, Zekeriya; Erkin, Z.; Beye, M.; Veugen, T.; Lagendijk, R.L.

    2012-01-01

    By offering personalized content to users, recommender systems have become a vital tool in e-commerce and online media applications. Content-based algorithms recommend items or products to users, that are most similar to those previously purchased or consumed. Unfortunately, collecting and storing

  10. Personalized Recommendations Based on Users' Information-Centered Social Networks

    Science.gov (United States)

    Lee, Danielle

    2013-01-01

    The overwhelming amount of information available today makes it difficult for users to find useful information and as the solution to this information glut problem, recommendation technologies emerged. Among the several streams of related research, one important evolution in technology is to generate recommendations based on users' own social…

  11. [Policy recommendations based on SWOT analysis for agricultural industrialization of traditional Chinese medicinal materials--a case study of uncariae ramulus cum uncis from Jianhe county in Guizhou province].

    Science.gov (United States)

    Hu, Yong; Huo, Ke-Yi; Xiang, Hua

    2013-09-01

    This thesis reviews the historical background of agricultural industrialization, and analyzes the major theories of agricultural industrialization. It also utilizes SWOT analysis method to discuss the industrialization of traditional Chinese medicinal materials in Jianhe county, and finally it puts forward the recommendations for its further development.

  12. Swarm-based Sequencing Recommendations in E-learning

    NARCIS (Netherlands)

    Van den Berg, Bert; Tattersall, Colin; Janssen, José; Brouns, Francis; Kurvers, Hub; Koper, Rob

    2005-01-01

    Van den Berg, B., Tattersall, C., Janssen, J., Brouns, F., Kurvers, H., & Koper, R. (2006). Swarm-based Sequencing Recommendations in E-learning. International Journal of Computer Science & Applications, III(III), 1-11.

  13. Toward a national policy for managing low-level radioactive waste: key issues and recommendations

    International Nuclear Information System (INIS)

    Duerksen, C.J.; Mantell, M.; Thompson, G.P.

    1981-06-01

    The Conservation Foundation, a not-for-profit research and public education organization, asked individuals with diverse backgrounds and viewpoints to come together under Foundation leadership as a Dialogue Group on Low-Level Radioactive Waste Management. The group, including persons who represent waste generators, concerned citizens, state regulators, and environmentalists, met over an 18-month period to discuss issues crucial to the development of a national policy on low-level wastes. The Dialogue Group agreed that three principles, if accepted broadly, would form the basis of a sound national policy for managing low-level radioactive wastes: with proper implementation, technology exists to manage low-level waste safely; generators and their customers should pay disposal costs; and greater public involvement at all stages can improve the disposal system. These principles acted as polestars for the group as it worked toward a series of policy recommendations in four main areas: (1) cleaning up closed commercial sites; (2) remodeling a system for defining and classifying low-level radioactive waste; (3) siting new low-level waste disposal facilities; and (4) decommissioning, long-term care, and liability. This report presents an extensive discussion of these recommendations covering qualifications, limitations, and alternatives

  14. Extending a Hybrid Tag-Based Recommender System with Personalization

    DEFF Research Database (Denmark)

    Durao, Frederico; Dolog, Peter

    2010-01-01

    extension for a hybrid tag-based recommender system, which suggests similar Web pages based on the similarity of their tags. The semantic extension aims at discovering tag relations which are not considered in basic syntax similarity. With the goal of generating more semantically grounded recommendations......, the proposal extends a hybrid tag-based recommender system with a semantic factor, which looks for tag relations in different semantic sources. In order to evaluate the benefits acquired with the semantic extension, we have compared the new findings with results from a previous experiment involving 38 people......Tagging activity has been recently identified as a potential source of knowledge about personal interests, preferences, goals, and other attributes known from user models. Tags themselves can be therefore used for finding personalized recommendations of items. This paper proposes a semantic...

  15. Alternative energy facility siting policies for urban coastal areas: executive summary of findings and policy recommendations

    Energy Technology Data Exchange (ETDEWEB)

    Morell, D; Singer, G

    1980-11-01

    An analysis was made of siting issues in the coastal zone, one of the nation's most critical natural resource areas and one which is often the target for energy development proposals. The analysis addressed the changing perceptions of citizens toward energy development in the coastal zone, emphasizing urban communities where access to the waterfront and revitalization of waterfront property are of interest to the citizen. The findings of this analysis are based on an examination of energy development along New Jersey's urban waterfront and along the Texas-Louisiana Gulf Coast, and on redevelopment efforts in Seattle, San Francisco, Boston, and elsewhere. The case studies demonstrate the significance of local attitudes and regional cooperation in the siting process. In highly urbanized areas, air quality has become a predominant concern among citizen groups and an influential factor in development of alternative energy facility siting strategies, such as consideration of inland siting connected by pipeline to a smaller coastal facility. The study addresses the economic impact of the permitting process on the desirability of energy facility investments, and the possible effects of the location selected for the facility on the permitting process and investment economics. The economic analysis demonstrates the importance of viewing energy facility investments in a broad perspective that includes the positive or negative impacts of various alternative siting patterns on the permitting process. Conclusions drawn from the studies regarding Federal, state, local, and corporate politics; regulatory, permitting, licensing, environmental assessment, and site selection are summarized. (MCW)

  16. Improved Recommendations Based on Trust Relationships in Social Networks

    Directory of Open Access Journals (Sweden)

    Hao Tian

    2017-03-01

    Full Text Available In order to alleviate the pressure of information overload and enhance consumer satisfaction, personalization recommendation has become increasingly popular in recent years. As a result, various approaches for recommendation have been proposed in the past few years. However, traditional recommendation methods are still troubled with typical issues such as cold start, sparsity, and low accuracy. To address these problems, this paper proposed an improved recommendation method based on trust relationships in social networks to improve the performance of recommendations. In particular, we define trust relationship afresh and consider several representative factors in the formalization of trust relationships. To verify the proposed approach comprehensively, this paper conducted experiments in three ways. The experimental results show that our proposed approach leads to a substantial increase in prediction accuracy and is very helpful in dealing with cold start and sparsity.

  17. Demand-Side Flexibility for Energy Transitions: Policy Recommendations for Developing Demand Response

    OpenAIRE

    Nursimulu, Anjali; Florin, Marie-Valentine; Vuille, François

    2016-01-01

    As a follow-up to IRGC's report on demand-side flexibility for energy transitions, this Policy Brief highlights that increasing flexibility in power systems is needed to accommodate higher shares of non-controllable and intermittent renewable generation, and that this requires changes to the market design and regulatory framework, to facilitate the development and deployment of appropriate technologies and market-based instruments (e.g. taxes and subsidies). The Policy Brief focuses on demand...

  18. Shift scheduling limits for the nuclear industry NRC policy and recommendations

    International Nuclear Information System (INIS)

    Koontz, J.; Morisseau, D.; Lewis, P.

    1985-01-01

    A study on shift scheduling and use of overtime and their effects on human performance in nuclear and non-nuclear industries was conducted. An analysis of the literature, current practices, and federal policy on shift scheduling resulted in human factors recommendations for limiting hours of work in the nuclear industry for nuclear power plant personnel conducting safety related functions. Recommended limits on total hours of work were developed by a panel of experts for both 8-hour and 12-hour daily shift schedules for weekly, biweekly, monthly, and annual work periods. The study results are particularly applicable to control room operators but should also be considered for other personnel where performance degradation due to fatigue could directly affect safe plant operations

  19. Women Entrepreneurship in the Western Romania. Research Results and Policy Recommendations

    Directory of Open Access Journals (Sweden)

    Anca DODESCU

    2011-01-01

    Full Text Available Starting from the results of the empirical, quantitative, and qualitative research performed in the AntrES project, between 5.01.2009 - 4.01.2011, in the Western Romania, referring to the existence of obvious gender gaps regarding the start up of new businesses and the ownership of the businesses; the characteristics, the motivations, and the difficulties of the women entrepreneurs and potentially enterprising women; the successful women entrepreneurs' perceptions on the sex equality in the field of entrepreneurship - this paper presents arguments and recommendations of specific policies meant to support the potential women entrepreneurship in Romania, as an engine to overcome the economic crisis and to reconnect to the regional development mechanism facilitated by the European Union's regional policy.

  20. Human resource recommendation algorithm based on ensemble learning and Spark

    Science.gov (United States)

    Cong, Zihan; Zhang, Xingming; Wang, Haoxiang; Xu, Hongjie

    2017-08-01

    Aiming at the problem of “information overload” in the human resources industry, this paper proposes a human resource recommendation algorithm based on Ensemble Learning. The algorithm considers the characteristics and behaviours of both job seeker and job features in the real business circumstance. Firstly, the algorithm uses two ensemble learning methods-Bagging and Boosting. The outputs from both learning methods are then merged to form user interest model. Based on user interest model, job recommendation can be extracted for users. The algorithm is implemented as a parallelized recommendation system on Spark. A set of experiments have been done and analysed. The proposed algorithm achieves significant improvement in accuracy, recall rate and coverage, compared with recommendation algorithms such as UserCF and ItemCF.

  1. Vote Stuffing Control in IPTV-based Recommender Systems

    Science.gov (United States)

    Bhatt, Rajen

    Vote stuffing is a general problem in the functioning of the content rating-based recommender systems. Currently IPTV viewers browse various contents based on the program ratings. In this paper, we propose a fuzzy clustering-based approach to remove the effects of vote stuffing and consider only the genuine ratings for the programs over multiple genres. The approach requires only one authentic rating, which is generally available from recommendation system administrators or program broadcasters. The entire process is automated using fuzzy c-means clustering. Computational experiments performed over one real-world program rating database shows that the proposed approach is very efficient for controlling vote stuffing.

  2. An incentive-based architecture for social recommendations

    KAUST Repository

    Bhattacharjee, Rajat; Goel, Ashish; Kollias, Konstantinos

    2009-01-01

    We present an incentive-based architecture for providing recommendations in a social network. We maintain a distinct reputation system for each individual and we rely on users to identify appropriate correlations and rate the items using a system-provided recommendation language. The key idea is to design an incentive structure and a ranking system such that any inaccuracy in the recommendations implies the existence of a profitable arbitrage opportunity, hence making the system resistant to malicious spam and presentation bias. We also show that, under mild assumptions, our architecture provides users with incentive to minimize the Kullback-Leibler divergence between the ratings and the actual item qualities, quickly driving the system to an equilibrium state with accurate recommendations. Copyright 2009 ACM.

  3. Group Recommendation Systems Based on External Social-Trust Networks

    Directory of Open Access Journals (Sweden)

    Guang Fang

    2018-01-01

    Full Text Available With the development of social networks and online mobile communities, group recommendation systems support users’ interaction with similar interests or purposes with others. We often provide some advices to the close friends, such as listening to favorite music and sharing favorite dishes. However, users’ personalities have been ignored by the traditional group recommendation systems while the majority is satisfied. In this paper, a method of group recommendation based on external social-trust networks is proposed, which builds a group profile by analyzing not only users’ preferences, but also the social relationships between members inside and outside of the group. We employ the users’ degree of disagreement to adjust group preference rating by external information of social-trust network. Moreover, having a discussion about different social network utilization ratio, we proposed a method to work for smaller group size. The experimental results show that the proposed method has consistently higher precision and leads to satisfactory recommendations for groups.

  4. Chancellors and Superintendents Employment Terms: Contracts, Policies, and Practices. Recommendations and Survey Results.

    Science.gov (United States)

    Smith, Cindra

    This document provides recommendations to Community College chancellors and superintendents based on survey responses from 11 multi-college district chancellors and 37 single college district superintendents and/or presidents of the Community College League of California. The report provides demographic information, such as gender, ethnicity,…

  5. Recruitment recommendation system based on fuzzy measure and indeterminate integral

    Science.gov (United States)

    Yin, Xin; Song, Jinjie

    2017-08-01

    In this study, we propose a comprehensive evaluation approach based on indeterminate integral. By introducing the related concepts of indeterminate integral and their formulas into the recruitment recommendation system, we can calculate the suitability of each job for different applicants with the defined importance for each criterion listed in the job advertisements, the association between different criteria and subjective assessment as the prerequisite. Thus we can make recommendations to the applicants based on the score of the suitability of each job from high to low. In the end, we will exemplify the usefulness and practicality of this system with samples.

  6. Europe's energy transition. The big five recommendations to guide and inspire EU policy-makers

    International Nuclear Information System (INIS)

    2014-09-01

    The energy transition is more than a shift from one energy system (finite resources) to another (more renewable and low energy-based). Our century's challenge is to radically reduce our energy use. The local level is where the new energy paradigm is happening. Ambitious policies at European level are crucial to speed up the movement

  7. Improved personalized recommendation based on a similarity network

    Science.gov (United States)

    Wang, Ximeng; Liu, Yun; Xiong, Fei

    2016-08-01

    A recommender system helps individual users find the preferred items rapidly and has attracted extensive attention in recent years. Many successful recommendation algorithms are designed on bipartite networks, such as network-based inference or heat conduction. However, most of these algorithms define the resource-allocation methods for an average allocation. That is not reasonable because average allocation cannot indicate the user choice preference and the influence between users which leads to a series of non-personalized recommendation results. We propose a personalized recommendation approach that combines the similarity function and bipartite network to generate a similarity network that improves the resource-allocation process. Our model introduces user influence into the recommender system and states that the user influence can make the resource-allocation process more reasonable. We use four different metrics to evaluate our algorithms for three benchmark data sets. Experimental results show that the improved recommendation on a similarity network can obtain better accuracy and diversity than some competing approaches.

  8. A Personalized Tag-Based Recommendation in Social Web Systems

    DEFF Research Database (Denmark)

    Durao, Frederico; Dolog, Peter

    2009-01-01

    -based recommender system which suggests similar Web pages based on the similarity of their tags from a Web 2.0 tagging application. The proposed approach extends the basic similarity calculus with external factors such as tag popularity, tag representativeness and the affinity between user and tag. In order...... to study and evaluate the recommender system, we have conducted an experiment involving 38 people from 12 countries using data from Del.icio.us , a social bookmarking web system on which users can share their personal bookmarks......Tagging activity has been recently identified as a potential source of knowledge about personal interests, preferences, goals, and other attributes known from user models. Tags themselves can be therefore used for finding personalized recommendations of items. In this paper, we present a tag...

  9. A Knowledge Based Recommender System with Multigranular Linguistic Information

    Directory of Open Access Journals (Sweden)

    Luis Martinez

    2008-08-01

    Full Text Available Recommender systems are applications that have emerged in the e-commerce area in order to assist users in their searches in electronic shops. These shops usually offer a wide range of items that cover the necessities of a great variety of users. Nevertheless, searching in such a wide range of items could be a very difficult and time-consuming task. Recommender systems assist users to find out suitable items by means of recommendations based on information provided by different sources such as: other users, experts, item features, etc. Most of the recommender systems force users to provide their preferences or necessities using an unique numerical scale of information fixed in advance. In spite of this information is usually related to opinions, tastes and perceptions, therefore, it seems that is usually better expressed in a qualitative way, with linguistic terms, than in a quantitative way, with precise numbers. We propose a Knowledge Based Recommender System that uses the fuzzy linguistic approach to define a flexible framework to capture the uncertainty of the user's preferences. Thus, this framework will allow users to express their necessities in scales closer to their own knowledge, and different from the scale utilized to describe the items.

  10. Recommender systems for location-based social networks

    CERN Document Server

    Symeonidis, Panagiotis; Manolopoulos, Yannis

    2014-01-01

    Online social networks collect information from users' social contacts and their daily interactions (co-tagging of photos, co-rating of products etc.) to provide them with recommendations of new products or friends. Lately, technological progressions in mobile devices (i.e. smart phones) enabled the incorporation of geo-location data in the traditional web-based online social networks, bringing the new era of Social and Mobile Web. The goal of this book is to bring together important research in a new family of recommender systems aimed at serving Location-based Social Networks (LBSNs). The chapters introduce a wide variety of recent approaches, from the most basic to the state-of-the-art, for providing recommendations in LBSNs. The book is organized into three parts. Part 1 provides introductory material on recommender systems, online social networks and LBSNs. Part 2 presents a wide variety of recommendation algorithms, ranging from basic to cutting edge, as well as a comparison of the characteristics of t...

  11. A Knowledge-based Recommendation Framework using SVN Numbers

    Directory of Open Access Journals (Sweden)

    Roddy Cabezas Padilla

    2017-06-01

    Full Text Available Current knowledge based recommender systems, despite proven useful and having a high impact, persist with some shortcomings. Among its limitations are the lack of more flexible models and the inclusion of indeterminacy of the factors involved for computing a global similarity.

  12. Efficient privacy-enhanced familiarity-based recommender system

    NARCIS (Netherlands)

    Jeckmans, Arjan; Peter, Andreas; Hartel, Pieter H.

    Recommender systems can help users to find interesting content, often based on similarity with other users. However, studies have shown that in some cases familiarity gives comparable results to similarity. Using familiarity has the added bonus of increasing privacy between users and utilizing a

  13. Similarity-based recommendation of new concepts to a terminology

    NARCIS (Netherlands)

    Chandar, Praveen; Yaman, Anil; Hoxha, Julia; He, Zhe; Weng, Chunhua

    2015-01-01

    Terminologies can suffer from poor concept coverage due to delays in addition of new concepts. This study tests a similarity-based approach to recommending concepts from a text corpus to a terminology. Our approach involves extraction of candidate concepts from a given text corpus, which are

  14. Energy sector assistance in developing countries: Current trends and policy recommendations

    International Nuclear Information System (INIS)

    Tharakan, Pradeep J.; Castro, Julio de; Kroeger, Timm

    2007-01-01

    An estimated 2.5 billion people remain without access to modern energy supplies. This shortfall is expected to grow as the population in developing countries continues to grow rapidly and the existing infrastructure ages. The United Nations' goal of lowering poverty by half by 2015 will not be attained unless the poor in developing countries gain greater access to basic infrastructure and services, including energy services. The key objective of this paper is to analyze trends in overseas development assistance (ODA) to the energy sector in developing countries during the period 1990-2003, relative to realized private sector investments. This analysis then forms the basis for policy recommendations for consideration by decision makers within countries that are major contributors to ODA

  15. The Ethics of Virtual Reality Technology: Social Hazards and Public Policy Recommendations.

    Science.gov (United States)

    Spiegel, James S

    2017-09-23

    This article explores four major areas of moral concern regarding virtual reality (VR) technologies. First, VR poses potential mental health risks, including Depersonalization/Derealization Disorder. Second, VR technology raises serious concerns related to personal neglect of users' own actual bodies and real physical environments. Third, VR technologies may be used to record personal data which could be deployed in ways that threaten personal privacy and present a danger related to manipulation of users' beliefs, emotions, and behaviors. Finally, there are other moral and social risks associated with the way VR blurs the distinction between the real and illusory. These concerns regarding VR naturally raise questions about public policy. The article makes several recommendations for legal regulations of VR that together address each of the above concerns. It is argued that these regulations would not seriously threaten personal liberty but rather would protect and enhance the autonomy of VR consumers.

  16. Adherence of preventive oral care products in the Syrian market to evidence-based international recommendations.

    Science.gov (United States)

    Habes, D; Mahzia, R; Nakhleh, K; Joury, E

    2016-09-25

    No study has investigated the availability and adherence of preventive oral care products on the Syrian market to evidence-based international recommendations. Data were collected in 2012, and updated in 2016, in terms of availability, characteristics and adherence to evidence-based international recommendations. Few preventive products adhered to the recommendations. Despite the large decrease in the number of oral care products on the Syrian market, due to the Syrian crisis, nonadherence of some of the available products is still present. A multisectorial approach at a policy level is needed to address such important limitations. The Syrian Ministry of Health should reform regulations for fluoride products to become subject to drug monitoring systems; the Syrian Arab Committee for Measurements and Standards needs to update its standards; and the Syrian General Dental Association should distribute a preventive booklet to dental practitioners.

  17. IMPLEMENTING HEALTH TECHNOLOGY ASSESSMENT-BASED RECOMMENDATIONS IN FINLAND

    DEFF Research Database (Denmark)

    Sihvo, Sinikka; Ikonen, Tuija; Mäkelä, Marjukka

    2017-01-01

    Objectives: The Managed Uptake of Medical Methods Program (MUMM) started 10 years ago as a joint venture of the Finnish Office for Health Technology Assessment (Finohta) and the twenty hospital districts in Finland. The aim is to offer information on the effectiveness, safety, organizational...... in decision making. Conclusions: HTA-based MUMM recommendations were well received by physicians but in practice they are less used than clinical practice guidelines. Short-form electronic surveys were a useful way of gathering information about awareness and implementation. The surveys also functioned...... as another method of informing key physicians about the recommendations....

  18. A Study on Recommendation Systems in Location Based Social Networking

    Directory of Open Access Journals (Sweden)

    Ranganath Ashok Kumar

    2017-01-01

    Full Text Available Smart devices in the hands of people are revolutionizing the social lifestyle of one's self. Everyone across the world are using smart devices linked to their social networking activities one such activity is to share location data by uploading the tagged media content like photos, videos. The data is of surroundings, events attended/attending and travel experiences. Users share their experiences at a given location through localization techniques. Using such data from social networks an attempt is made to analyse tagged media content to acquire information on user context, individual’s interests, tastes, behaviours and derive meaningful relationships amongst them are referred to as Location Based Social Networks (LBSNs. The resulting information can be used to market a product and to improve business, as well recommend a travel and plan an itinerary. This paper presents a comprehensive survey of recommended systems for LBSNs covering the concepts of LBSNs, terminologies of LBSN and various recommendation systems.

  19. Intelligent Online Store: User Behavior Analysis based Recommender System

    Directory of Open Access Journals (Sweden)

    Mohamadreza Karimi Alavije

    2015-06-01

    Full Text Available Recommender systems provide personalised recommendations to users, helping them find their ideal items, also play a key role in encouraging users to make their purchases through websites thus leading to the success of online stores. The collaborative filtering method is one of the most successful techniques utilized in these systems facilitating the provision of recommendations close to that of the customer's taste and need. However the proliferation of both customers and products on offer, the technique faces some issues such as "cold start" and scalability. As such in this paper a new method has been introduced in which user-based collaborative filtering is used at a base method along with a weighted clustering of users based upon demographics in order to improve the results obtained from the system. The implementation of the results of the algorithms demonstrate that the presented approach has a lower RMSE, which means that the system offers improved performance and accuracy and that the resulting recommendations are closer to the taste and preferences of the users.

  20. Hybrid attacks on model-based social recommender systems

    Science.gov (United States)

    Yu, Junliang; Gao, Min; Rong, Wenge; Li, Wentao; Xiong, Qingyu; Wen, Junhao

    2017-10-01

    With the growing popularity of the online social platform, the social network based approaches to recommendation emerged. However, because of the open nature of rating systems and social networks, the social recommender systems are susceptible to malicious attacks. In this paper, we present a certain novel attack, which inherits characteristics of the rating attack and the relation attack, and term it hybrid attack. Furtherly, we explore the impact of the hybrid attack on model-based social recommender systems in multiple aspects. The experimental results show that, the hybrid attack is more destructive than the rating attack in most cases. In addition, users and items with fewer ratings will be influenced more when attacked. Last but not the least, the findings suggest that spammers do not depend on the feedback links from normal users to become more powerful, the unilateral links can make the hybrid attack effective enough. Since unilateral links are much cheaper, the hybrid attack will be a great threat to model-based social recommender systems.

  1. FERTILIZER RECOMMENDATION SYSTEM FOR MELON BASED ON NUTRITIONAL BALANCE

    Directory of Open Access Journals (Sweden)

    José Aridiano Lima de Deus

    2015-04-01

    Full Text Available Melon is one of the most demanding cucurbits regarding fertilization, requiring knowledge of soils, crop nutritional requirements, time of application, and nutrient use efficiency for proper fertilization. Developing support systems for decision-making for fertilization that considers these variables in nutrient requirement and supply is necessary. The objective of this study was parameterization of a fertilizer recommendation system for melon (Ferticalc-melon based on nutritional balance. To estimate fertilizer recommendation, the system considers the requirement subsystem (REQ, which includes the demand for nutrients by the plant, and the supply subsystem (SUP, which corresponds to the supply of nutrients through the soil and irrigation water. After determining the REQtotal and SUPtotal, the system calculates the nutrient balances for N, P, K, Ca, Mg, and S, recommending fertilizer application if the balance is negative (SUP < REQ, but not if the balance is positive or zero (SUP ≥ REQ. Simulations were made for different melon types (Yellow, Cantaloupe, Galia and Piel-de-sapo, with expected yield of 45 t ha-1. The system estimated that Galia type was the least demanding in P, while Piel-de-sapo was the most demanding. Cantaloupe was the least demanding for N and Ca, while the Yellow type required less K, Mg, and S. As compared to other fertilizer recommendation methods adopted in Brazil, the Ferticalc system was more dynamic and flexible. Although the system has shown satisfactory results, it needs to be evaluated under field conditions to improve its recommendations.

  2. Ebola Virus Epidemic in West Africa: Global Health Economic Challenges, Lessons Learned, and Policy Recommendations.

    Science.gov (United States)

    Elmahdawy, Mahmoud; Elsisi, Gihan H; Carapinha, Joao; Lamorde, Mohamed; Habib, Abdulrazaq; Agyie-Baffour, Peter; Soualmi, Redouane; Ragab, Samah; Udezi, Anthony W; Usifoh, Cyril; Usifoh, Stella

    2017-09-01

    The Ebola virus has spread across several Western Africa countries, adding a significant financial burden to their health systems and economies. In this article the experience with Ebola is reviewed, and economic challenges and policy recommendations are discussed to help curb the impact of other diseases in the future. The West African Ebola virus disease epidemic started in resource-constrained settings and caused thousands of fatalities during the last epidemic. Nevertheless, given population mobility, international travel, and an increasingly globalized economy, it has the potential to re-occur and evolve into a global pandemic. Struggling health systems in West African countries hinder the ability to reduce the causes and effects of the Ebola epidemic. The lessons learned include the need for strengthening health systems, mainly primary care systems, expedited access to treatments and vaccines to treat the Ebola virus disease, guidance on safety, efficacy, and regulatory standards for such treatments, and ensuring that research and development efforts are directed toward existing needs. Other lessons include adopting policies that allow for better flow of relief, averting the adverse impact of strong quarantine policy that includes exaggerating the aversion behavior by alarming trade and business partners providing financial support to strengthen growth in the affected fragile economies by the Ebola outbreak. Curbing the impact of future Ebola epidemics, or comparable diseases, requires increased long-term investments in health system strengthening, better collaboration between different international organizations, more funding for research and development efforts aimed at developing vaccines and treatments, and tools to detect, treat, and prevent future epidemics. Copyright © 2017. Published by Elsevier Inc.

  3. Directory Enabled Policy Based Networking; TOPICAL

    International Nuclear Information System (INIS)

    KELIIAA, CURTIS M.

    2001-01-01

    This report presents a discussion of directory-enabled policy-based networking with an emphasis on its role as the foundation for securely scalable enterprise networks. A directory service provides the object-oriented logical environment for interactive cyber-policy implementation. Cyber-policy implementation includes security, network management, operational process and quality of service policies. The leading network-technology vendors have invested in these technologies for secure universal connectivity that transverses Internet, extranet and intranet boundaries. Industry standards are established that provide the fundamental guidelines for directory deployment scalable to global networks. The integration of policy-based networking with directory-service technologies provides for intelligent management of the enterprise network environment as an end-to-end system of related clients, services and resources. This architecture allows logical policies to protect data, manage security and provision critical network services permitting a proactive defense-in-depth cyber-security posture. Enterprise networking imposes the consideration of supporting multiple computing platforms, sites and business-operation models. An industry-standards based approach combined with principled systems engineering in the deployment of these technologies allows these issues to be successfully addressed. This discussion is focused on a directory-based policy architecture for the heterogeneous enterprise network-computing environment and does not propose specific vendor solutions. This document is written to present practical design methodology and provide an understanding of the risks, complexities and most important, the benefits of directory-enabled policy-based networking

  4. Seasonal influenza vaccine policies, recommendations and use in the World Health Organization’s Western Pacific Region Original Research

    Directory of Open Access Journals (Sweden)

    Members of the Western Pacific Region Global Influenza Surveillance and Response System

    2013-09-01

    Full Text Available Objective: Vaccination is the most effective way to prevent seasonal influenza and its severe outcomes. The objective of our study was to synthesize information on seasonal influenza vaccination policies, recommendations and practices in place in 2011 for all countries and areas in the Western Pacific Region of the World Health Organization (WHO. Methods: Data were collected via a questionnaire on seasonal influenza vaccination policies, recommendations and practices in place in 2011. Results: Thirty-six of the 37 countries and areas (97% responded to the survey. Eighteen (50% reported having established seasonal influenza vaccination policies, an additional seven (19% reported having recommendations for risk groups for seasonal influenza vaccination only and 11 (30% reported having no policies or recommendations in place. Of the 25 countries and areas with policies or recommendations, health-care workers and the elderly were most frequently recommended for vaccination; 24 (96% countries and areas recommended vaccinating these groups, followed by pregnant women (19 [76%], people with chronic illness (18 [72%] and children (15 [60%]. Twenty-six (72% countries and areas reported having seasonal influenza vaccines available through public funding, private market purchase or both. Most of these countries and areas purchased only enough vaccine to cover 25% or less of their populations. Discussion: In light of the new WHO position paper on influenza vaccines published in 2012 and the increasing availability of country-specific data, countries and areas should consider reviewing or developing their seasonal influenza vaccination policies to reduce morbidity and mortality associated with annual epidemics and as part of ongoing efforts for pandemic preparedness.

  5. Protection of Location Privacy Based on Distributed Collaborative Recommendations.

    Science.gov (United States)

    Wang, Peng; Yang, Jing; Zhang, Jian-Pei

    2016-01-01

    In the existing centralized location services system structure, the server is easily attracted and be the communication bottleneck. It caused the disclosure of users' location. For this, we presented a new distributed collaborative recommendation strategy that is based on the distributed system. In this strategy, each node establishes profiles of their own location information. When requests for location services appear, the user can obtain the corresponding location services according to the recommendation of the neighboring users' location information profiles. If no suitable recommended location service results are obtained, then the user can send a service request to the server according to the construction of a k-anonymous data set with a centroid position of the neighbors. In this strategy, we designed a new model of distributed collaborative recommendation location service based on the users' location information profiles and used generalization and encryption to ensure the safety of the user's location information privacy. Finally, we used the real location data set to make theoretical and experimental analysis. And the results show that the strategy proposed in this paper is capable of reducing the frequency of access to the location server, providing better location services and protecting better the user's location privacy.

  6. Partition-based Collaborative Tensor Factorization for POI Recommendation

    Institute of Scientific and Technical Information of China (English)

    Wenjing Luan; Guanjun Liu; Changjun Jiang; Liang Qi

    2017-01-01

    The rapid development of location-based social networks (LBSNs) provides people with an opportunity of better understanding their mobility behavior which enables them to decide their next location.For example,it can help travelers to choose where to go next,or recommend salesmen the most potential places to deliver advertisements or sell products.In this paper,a method for recommending points of interest (POIs) is proposed based on a collaborative tensor factorization (CTF) technique.Firstly,a generalized objective function is constructed for collaboratively factorizing a tensor with several feature matrices.Secondly,a 3-mode tensor is used to model all users' check-in behaviors,and three feature matrices are extracted to characterize the time distribution,category distribution and POI correlation,respectively.Thirdly,each user's preference to a POI at a specific time can be estimated by using CTF.In order to further improve the recommendation accuracy,PCTF (Partitionbased CTF) is proposed to fill the missing entries of a tensor after clustering its every mode.Experiments on a real checkin database show that the proposed method can provide more accurate location recommendation.

  7. Policies for patient access to clinical data via PHRs: current state and recommendations.

    Science.gov (United States)

    Collins, Sarah A; Vawdrey, David K; Kukafka, Rita; Kuperman, Gilad J

    2011-12-01

    Healthcare delivery organizations are increasingly using online personal health records (PHRs) to provide patients with direct access to their clinical information; however, there may be a lack of consistency in the data made available. We aimed to understand the general use and functionality of PHRs and the organizational policies and decision-making structures for making data available to patients. A cross-sectional survey was administered by telephone structured interview to 21 organizations to determine the types of data made available to patients through PHRs and the presence of explicit governance for PHR data release. Organizations were identified based on a review of the literature, PHR experts, and snowball sampling. Organizations that did not provide patients with electronic access to their data via a PHR were excluded. Interviews were conducted with 17 organizations for a response rate of 81%. Half of the organizations had explicit governance in the form of a written policy that outlined the data types made available to patients. Overall, 88% of the organizations used a committee structure for the decision-making process and included senior management and information services. All organizations sought input from clinicians. Discussion There was considerable variability in the types of clinical data and the time frame for releasing these data to patients. Variability in data release policies may have implications for PHR use and adoption. Future policy activities, such as requirement specification for the latter stages of Meaningful Use, should be leveraged as an opportunity to encourage standardization of functionality and broad deployment of PHRs.

  8. Evidence-based review, grade of recommendation, and suggested treatment recommendations for melasma

    Directory of Open Access Journals (Sweden)

    Nilendu Sarma

    2017-01-01

    Full Text Available Treatment of melasma is known to be less satisfactory, often incomplete, and relapse is frequent. Although many treatment options are available, they are either known to be unsafe on long-term use or their long-term safety profile is unknown. Patients often use various drugs, even topical steroid-based preparation without any medical supervision for long period of time, making the skin unsuitable for many of the drugs available. Thus, there has been gross disparity among the treating physician about what drugs and what regimen are best suitable for various categories of melasma patients and in different situations. With this background, numerous newer drugs, mostly combinations of some proprietary molecules or even unknown plant extracts, have flooded the market for the management of melasma. Information on efficacy or safety of these products are almost unknown. Studies on Asian people, especially Indian population, are far less commonly available. Therapeutic guideline for use on Indian patients with melasma is almost missing. Extrapolation of data from Caucasian people for use on Asian people may not be scientifically justifiable because Caucasian and Asian people are known to have inherent difference in their response as well as tolerance to the drugs used for melasma. With this background, we have extensively evaluated, following a strict, scientifically designed protocol, all the available studies on melasma management till May 2016 and prepared this document on level of evidence, grade of recommendation and suggested therapeutic guideline for melasma as per the method proposed by Oxford Centre of Evidence-Based Medicine. Various ethical, social, logical, regional, and economic issues in the context of Indian and similar populations were given due importance while preparing the suggested therapeutic recommendation.

  9. Managerial Methods Based on Analysis, Recommended to a Boarding House

    Directory of Open Access Journals (Sweden)

    Solomia Andreş

    2015-06-01

    Full Text Available The paper presents a few theoretical and practical contributions regarding the implementing of analysis based methods, respectively a SWOT and an economic analysis, from the perspective and the demands of a firm management which functions with profits due to the activity of a boarding house. The two types of managerial methods recommended to the firm offer real and complex information necessary for the knowledge of the firm status and the elaboration of prediction for the maintaining of business viability.

  10. Tag and Neighbor based Recommender systems for Medical events

    DEFF Research Database (Denmark)

    Bayyapu, Karunakar Reddy; Dolog, Peter

    2010-01-01

    This paper presents an extension of a multifactor recommendation approach based on user tagging with term neighbours. Neighbours of words in tag vectors and documents provide for hitting larger set of documents and not only those matching with direct tag vectors or content of the documents. Tag...... in the situations where the quality of tags is lower. We discuss the approach on the examples from the existing Medworm system to indicate the usefulness of the approach....

  11. Variation in adult vaccination policies across Europe: an overview from VENICE network on vaccine recommendations, funding and coverage.

    Science.gov (United States)

    Kanitz, Elisabeth E; Wu, Lauren A; Giambi, Cristina; Strikas, Raymond A; Levy-Bruhl, Daniel; Stefanoff, Pawel; Mereckiene, Jolita; Appelgren, Eva; D'Ancona, Fortunato

    2012-07-27

    In 2010-2011, in the framework of the VENICE project, we surveyed European Union (EU) and Economic Area (EEA) countries to fill the gap of information regarding vaccination policies in adults. This project was carried out in collaboration with the United States National Vaccine Program Office, who conducted a similar survey in all developed countries. VENICE representatives of all 29 EU/EEA-countries received an online questionnaire including vaccination schedule, recommendations, funding and coverage in adults for 17 vaccine-preventable diseases. The response rate was 100%. The definition of age threshold for adulthood for the purpose of vaccination ranged from 15 to 19 years (median=18 years). EU/EEA-countries recommend between 4 and 16 vaccines for adults (median=11 vaccines). Tetanus and diphtheria vaccines are recommended to all adults in 22 and 21 countries respectively. The other vaccines are mostly recommended to specific risk groups; recommendations for seasonal influenza and hepatitis B exist in all surveyed countries. Six countries have a comprehensive summary document or schedule describing all vaccines which are recommended for adults. None of the surveyed countries was able to provide coverage estimates for all the recommended adult vaccines. Vaccination policies for adults are not consistent across Europe, including the meaning of "recommended vaccine" which is not comparable among countries. Coverage data for adults should be collected routinely like for children vaccination. Copyright © 2012 Elsevier Ltd. All rights reserved.

  12. Recommendation System of Program Based on REST Style

    Directory of Open Access Journals (Sweden)

    Song Jin Bao

    2016-01-01

    Full Text Available With the popularity of digital TV, TV programs have been on the increase no matter in both the number and species, which brought many choice to the users. Although the digital TV has increased largely in the selectivity, it has become a fussy process that users search for programs which they are interested in. So there is need to have an efficient program recommendation system to solve the problem that is “information overload” for users. It can not only help users to get the program which they require, but also bring convenience to people’s life. The program recommendation system named MyView is planned and designed, aimed to providing an efficient information platform. The system also involves intelligent recommendation. The information guide will trigger the recommendation engine after users registering information, the engine will accord to the data in the guide information to make the personalized program recommendation. The system was deployed in the Tomcat and Apache integration servers on my localhost, so it also belongs to the Web application based on J2EE platform. AJAX is used that can achieve a good user experience to develop web presentation layer on MyView PC browser with flexible interface performance. The background of business services uses the hierarchical form. MyView System uses the CXF framework and Hibernate to equip controller and data persistence layer in the Spring container. The overall framework of the system uses the REST style, in order to extend the performance and function later. Background service layer with uniform interface, marked by the URI resource. At the same time, HTTP requestion is submitted by the AJAX to obtain services provided by resources. Finally, we can analyze and summary the features of MyView System.

  13. Group interventions for patients with cancer and HIV disease: part IV. Clinical and policy recommendations.

    Science.gov (United States)

    Leszcz, Molyn; Sherman, Allen; Mosier, Julie; Burlingame, Gary M; Cleary, Trish; Ulman, Kathleen Hubbs; Simonton, Stephanie; Latif, Umaira; Strauss, Bernhard; Hazelton, Lara

    2004-10-01

    Group interventions have assumed a growing role in primary prevention and supportive care for cancer and HIV disease. Earlier sections of this Special Report examined empirical findings for these interventions and provided recommendations for future research. The current section offers brief recommendations for service providers, policymakers, and stakeholders. Group services now occupy an increasingly prominent place in primary prevention programs and medical settings. In previous sections of this Special Report (Sherman, Leszcz et al., 2004; Sherman, Mosier et al., 2004a, 2004b) we examined the efficacy of different group interventions at different phases of cancer or HIV disease, considered characteristics of the intervention and the participants that might influence outcomes, and discussed mechanisms of action. Methodological challenges and priorities for future research were highlighted. In this, the final section, we offer brief recommendations for service providers, policymakers, and other stakeholders. We consider some of the barriers that constrain use of empirically-based group interventions and note how these programs might be implemented more widely and effectively.

  14. Strength of recommendations in WHO guidelines using GRADE was associated with uptake in national policy.

    Science.gov (United States)

    Nasser, Syed Muhammad Umar; Cooke, Graham; Kranzer, Katharina; Norris, Susan L; Olliaro, Piero; Ford, Nathan

    2015-06-01

    This study assesses the extent to which the strength of a recommendation in a World Health Organization (WHO) guideline affects uptake of the recommendation in national guidelines. The uptake of recommendations included in HIV and TB guidelines issued by WHO from 2009 to 2013 was assessed across guidelines from 20 low- and middle-income countries in Africa and Southeast Asia. Associations between characteristics of recommendations (strength, quality of the evidence, type) and uptake were assessed using logistic regression. Eight WHO guidelines consisting of 109 strong recommendations and 49 conditional recommendations were included, and uptake assessed across 44 national guidelines (1,255 recommendations) from 20 countries. Uptake of WHO recommendations in national guidelines was 82% for strong recommendations and 61% for conditional recommendations. The odds of uptake comparing strong recommendations and conditional recommendations was 1.9 (95% confidence interval: 1.4, 2.7), after adjustment for quality of evidence. Higher levels of evidence quality were associated with greater uptake, independent of recommendation strength. Guideline developers should be confident that conditional recommendations are frequently adopted. The fact that strong recommendations are more frequently adopted than conditional recommendations underscores the importance of ensuring that such recommendations are justified. Copyright © 2015 Elsevier Inc. All rights reserved.

  15. Preconception care policy, guidelines, recommendations and services across six European countries: Belgium (Flanders), Denmark, Italy, the Netherlands, Sweden and the United Kingdom.

    Science.gov (United States)

    Shawe, Jill; Delbaere, Ilse; Ekstrand, Maria; Hegaard, Hanne Kristine; Larsson, Margareta; Mastroiacovo, Pierpaolo; Stern, Jenny; Steegers, Eric; Stephenson, Judith; Tydén, Tanja

    2015-04-01

    Preconception care is important for the screening, prevention and management of risk factors that affect pregnancy outcomes. We aimed to investigate pre-pregnancy care policies, guidelines, recommendations and services in six European countries. In 2013, an electronic search and investigation was undertaken of preconception policy, guidelines, recommendations and services available to healthcare professionals and the general public in six European countries: Belgium (Flanders), Denmark, Italy, the Netherlands, Sweden and the United Kingdom. Findings were compared within five categories: Governmental policy and legislation; Professional bodies and organisations; Healthcare providers; Charitable organisations; Web-based public information and internet sites. All countries had preconception recommendations for women with chronic diseases, such as diabetes and epilepsy. Recommendations for healthy women and men were fragmented and inconsistent. Preconception guidance was often included in antenatal and pregnancy guidelines. Differences between countries were seen with regard to nutritional and lifestyle advice particularly in relation to fish, caffeine and alcohol consumption, and vitamin supplementation. Current guidelines are heterogeneous. Collaborative research across Europe is required in order to develop evidence-based guidelines for preconception health and care. There is a need to establish a clear strategy for promoting advice and guidance within the European childbearing population.

  16. Compositional descriptor-based recommender system for the materials discovery

    Science.gov (United States)

    Seko, Atsuto; Hayashi, Hiroyuki; Tanaka, Isao

    2018-06-01

    Structures and properties of many inorganic compounds have been collected historically. However, it only covers a very small portion of possible inorganic crystals, which implies the presence of numerous currently unknown compounds. A powerful machine-learning strategy is mandatory to discover new inorganic compounds from all chemical combinations. Herein we propose a descriptor-based recommender-system approach to estimate the relevance of chemical compositions where crystals can be formed [i.e., chemically relevant compositions (CRCs)]. In addition to data-driven compositional similarity used in the literature, the use of compositional descriptors as a prior knowledge is helpful for the discovery of new compounds. We validate our recommender systems in two ways. First, one database is used to construct a model, while another is used for the validation. Second, we estimate the phase stability for compounds at expected CRCs using density functional theory calculations.

  17. Pharmacologic management of neuropathic pain: Evidence-based recommendations

    DEFF Research Database (Denmark)

    Dworkin, Robert H.; O'Connor, Alec B.; Backonja, Miroslav

    2007-01-01

    Patients with neuropathic pain (NP) are challenging to manage and evidence-based clinical recommendations for pharmacologic management are needed. Systematic literature reviews, randomized clinical trials, and existing guidelines were evaluated at a consensus meeting. Medications were considered...... and pregabalin), and topical lidocaine. Opioid analgesics and tramadol are recommended as generally second-line treatments that can be considered for first-line use in select clinical circumstances. Other medications that would generally be used as third-line treatments but that could also be used as second......, and whether prompt onset of pain relief is necessary. To date, no medications have demonstrated efficacy in lumbosacral radiculopathy, which is probably the most common type of NP. Long-term studies, head-to-head comparisons between medications, studies involving combinations of medications, and RCTs...

  18. Content-based Music Search and Recommendation System

    Science.gov (United States)

    Takegawa, Kazuki; Hijikata, Yoshinori; Nishida, Shogo

    Recently, the turn volume of music data on the Internet has increased rapidly. This has increased the user's cost to find music data suiting their preference from such a large data set. We propose a content-based music search and recommendation system. This system has an interface for searching and finding music data and an interface for editing a user profile which is necessary for music recommendation. By exploiting the visualization of the feature space of music and the visualization of the user profile, the user can search music data and edit the user profile. Furthermore, by exploiting the infomation which can be acquired from each visualized object in a mutually complementary manner, we make it easier for the user to search music data and edit the user profile. Concretely, the system gives to the user an information obtained from the user profile when searching music data and an information obtained from the feature space of music when editing the user profile.

  19. EURRECA—Evidence-Based Methodology for Deriving Micronutrient Recommendations

    NARCIS (Netherlands)

    Dhonukshe-Rutten, R.A.M.; Bouwman, J.; Brown, K.A.; Cavelaars, A.E.J.M.; Collings, R.; Grammatikaki, E.; Groot, L.C.P.G.M. de; Gurinovic, M.; Harvey, L.J.; Hermoso, M.; Hurst, R.; Kremer, S.H.A.; Ngo, J.; Novakovic, R.; Raats, M.M.; Rollin, F.; Serra-Majem, L.; Souverein, O.W.; Timotijevic, L.; Veer, P. van 't

    2013-01-01

    The EURopean micronutrient RECommendations Aligned (EURRECA) Network of Excellence explored the process of setting micronutrient recommendations to address the variance in recommendations across Europe. Work centered upon the transparent assessment of nutritional requirements via a series of

  20. D3.4: Recommendations for common policy across the EU regarding professional development as an element of quality in ECEC and child wellbeing for all. Final report

    DEFF Research Database (Denmark)

    Jensen, Bente; Iannone, Rosa Lisa

    and exemplary case studies from three European countries (D3.3). The overall aim of the report is to highlight priorities in ECEC professional development, based on WP3’s findings and develop recommendations regarding high-quality provisions for common EU-policies. This led to the identification of six policy...... development; and vi) addressing the vulnerable through professional development. The good practices highlighted in the report have been chosen as examples, given their success. However, these must be regarded as practices that may inspire changes, which must nevertheless be adopted to cultural and systemic...

  1. Collaborative filtering recommendation model based on fuzzy clustering algorithm

    Science.gov (United States)

    Yang, Ye; Zhang, Yunhua

    2018-05-01

    As one of the most widely used algorithms in recommender systems, collaborative filtering algorithm faces two serious problems, which are the sparsity of data and poor recommendation effect in big data environment. In traditional clustering analysis, the object is strictly divided into several classes and the boundary of this division is very clear. However, for most objects in real life, there is no strict definition of their forms and attributes of their class. Concerning the problems above, this paper proposes to improve the traditional collaborative filtering model through the hybrid optimization of implicit semantic algorithm and fuzzy clustering algorithm, meanwhile, cooperating with collaborative filtering algorithm. In this paper, the fuzzy clustering algorithm is introduced to fuzzy clustering the information of project attribute, which makes the project belong to different project categories with different membership degrees, and increases the density of data, effectively reduces the sparsity of data, and solves the problem of low accuracy which is resulted from the inaccuracy of similarity calculation. Finally, this paper carries out empirical analysis on the MovieLens dataset, and compares it with the traditional user-based collaborative filtering algorithm. The proposed algorithm has greatly improved the recommendation accuracy.

  2. Improving treatment of neurodevelopmental disorders: recommendations based on preclinical studies.

    Science.gov (United States)

    Homberg, Judith R; Kyzar, Evan J; Stewart, Adam Michael; Nguyen, Michael; Poudel, Manoj K; Echevarria, David J; Collier, Adam D; Gaikwad, Siddharth; Klimenko, Viktor M; Norton, William; Pittman, Julian; Nakamura, Shun; Koshiba, Mamiko; Yamanouchi, Hideo; Apryatin, Sergey A; Scattoni, Maria Luisa; Diamond, David M; Ullmann, Jeremy F P; Parker, Matthew O; Brown, Richard E; Song, Cai; Kalueff, Allan V

    2016-01-01

    Neurodevelopmental disorders (NDDs) are common and severely debilitating. Their chronic nature and reliance on both genetic and environmental factors makes studying NDDs and their treatment a challenging task. Herein, the authors discuss the neurobiological mechanisms of NDDs, and present recommendations on their translational research and therapy, outlined by the International Stress and Behavior Society. Various drugs currently prescribed to treat NDDs also represent a highly diverse group. Acting on various neurotransmitter and physiological systems, these drugs often lack specificity of action, and are commonly used to treat multiple other psychiatric conditions. There has also been relatively little progress in the development of novel medications to treat NDDs. Based on clinical, preclinical and translational models of NDDs, our recommendations cover a wide range of methodological approaches and conceptual strategies. To improve pharmacotherapy and drug discovery for NDDs, we need a stronger emphasis on targeting multiple endophenotypes, a better dissection of genetic/epigenetic factors or "hidden heritability," and a careful consideration of potential developmental/trophic roles of brain neurotransmitters. The validity of animal NDD models can be improved through discovery of novel (behavioral, physiological and neuroimaging) biomarkers, applying proper environmental enrichment, widening the spectrum of model organisms, targeting developmental trajectories of NDD-related behaviors and comorbid conditions beyond traditional NDDs. While these recommendations cannot be addressed all in once, our increased understanding of NDD pathobiology may trigger innovative cross-disciplinary research expanding beyond traditional methods and concepts.

  3. An Ontology-Based Tourism Recommender System Based on Spreading Activation Model

    Science.gov (United States)

    Bahramian, Z.; Abbaspour, R. Ali

    2015-12-01

    A tourist has time and budget limitations; hence, he needs to select points of interest (POIs) optimally. Since the available information about POIs is overloading, it is difficult for a tourist to select the most appreciate ones considering preferences. In this paper, a new travel recommender system is proposed to overcome information overload problem. A recommender system (RS) evaluates the overwhelming number of POIs and provides personalized recommendations to users based on their preferences. A content-based recommendation system is proposed, which uses the information about the user's preferences and POIs and calculates a degree of similarity between them. It selects POIs, which have highest similarity with the user's preferences. The proposed content-based recommender system is enhanced using the ontological information about tourism domain to represent both the user profile and the recommendable POIs. The proposed ontology-based recommendation process is performed in three steps including: ontology-based content analyzer, ontology-based profile learner, and ontology-based filtering component. User's feedback adapts the user's preferences using Spreading Activation (SA) strategy. It shows the proposed recommender system is effective and improves the overall performance of the traditional content-based recommender systems.

  4. AN ONTOLOGY-BASED TOURISM RECOMMENDER SYSTEM BASED ON SPREADING ACTIVATION MODEL

    Directory of Open Access Journals (Sweden)

    Z. Bahramian

    2015-12-01

    Full Text Available A tourist has time and budget limitations; hence, he needs to select points of interest (POIs optimally. Since the available information about POIs is overloading, it is difficult for a tourist to select the most appreciate ones considering preferences. In this paper, a new travel recommender system is proposed to overcome information overload problem. A recommender system (RS evaluates the overwhelming number of POIs and provides personalized recommendations to users based on their preferences. A content-based recommendation system is proposed, which uses the information about the user’s preferences and POIs and calculates a degree of similarity between them. It selects POIs, which have highest similarity with the user’s preferences. The proposed content-based recommender system is enhanced using the ontological information about tourism domain to represent both the user profile and the recommendable POIs. The proposed ontology-based recommendation process is performed in three steps including: ontology-based content analyzer, ontology-based profile learner, and ontology-based filtering component. User’s feedback adapts the user’s preferences using Spreading Activation (SA strategy. It shows the proposed recommender system is effective and improves the overall performance of the traditional content-based recommender systems.

  5. Screening mammography beliefs and recommendations: a web-based survey of primary care physicians

    Directory of Open Access Journals (Sweden)

    Yasmeen Shagufta

    2012-02-01

    Full Text Available Abstract Background The appropriateness and cost-effectiveness of screening mammography (SM for women younger than 50 and older than 74 years is debated in the clinical research community, among health care providers, and by the American public. This study explored primary care physicians' (PCPs perceptions of the influence of clinical practice guidelines for SM; the recommendations for SM in response to hypothetical case scenarios; and the factors associated with perceived SM effectiveness and recommendations in the US from June to December 2009 before the United States Preventive Services Task Force (USPSTF recently revised guidelines. Methods A nationally representative sample of 11,922 PCPs was surveyed using a web-based questionnaire. The response rate was 5.7% (684; (41% 271 family physicians (FP, (36% 232 general internal medicine physicians (IM, (23% 150 obstetrician-gynaecologists (OBG, and (0.2% 31 others. Cross-sectional analysis examined PCPs perceived effectiveness of SM, and recommendation for SM in response to hypothetical case scenarios. PCPs responses were measured using 4-5 point adjectival scales. Differences in perceived effectiveness and recommendations for SM were examined after adjusting for PCPs specialty, race/ethnicity, and the US region. Results Compared to IM and FP, OBG considered SM more effective in reducing breast cancer mortality among women aged 40-49 years (p = 0.003. Physicians consistently recommended mammography to women aged 50-69 years with no differences by specialty (p = 0.11. However, 94% of OBG "always recommended" SM to younger and 86% of older women compared to 81% and 67% for IM and 84% and 59% for FP respectively (p = p = Conclusions A majority of physicians, especially OBG, favour aggressive breast cancer screening for women from 40 through 79 years of age, including women with short life expectancy. Policy interventions should focus on educating providers to provide tailored recommendations for

  6. Captive power generation in Saudi Arabia—Overview and recommendations on policies

    International Nuclear Information System (INIS)

    Abdul-Majeed, Mohammed Arif; Al-Hadhrami, Luai M.; Al-Soufi, Khaled Y.; Ahmad, Firoz; Rehman, Shafiqur

    2013-01-01

    The power sector in the Kingdom of Saudi Arabia is undergoing the restructuring process. Moreover, during the last decade the Kingdom has witnessed a phenomenal growth in the load demand, consequently a huge amount of generation is added to the electric utilities to meet the load. Up to now only the electric utility generation was taken in the planning of the electrical sector. The data regarding the captive power generation was not readily available. A survey is conducted regarding the captive power generation in Saudi Arabia based on its utilization pattern, fuel used and amount of excess energy available to the grid. The existing regulatory framework and institutional structure of the Saudi power industry was also reviewed. Based on the information collected in the survey of captive power, key guidelines that may be considered in developing the policy for the captive power generators are presented. Furthermore, these guidelines and later the policies will help promote the investors to come forward in developing the captive power generation in Saudi Arabia. -- Highlights: •Database of captive power generation in the Kingdom of Saudi Arabia. •Historical perspective of electrical power industry in the Kingdom. •Saudi Arabia′s power requirements. •Regulatory framework and key guidelines regarding captive power generation. •It is first of its kind study in the region

  7. Investing in Youth: A Compilation of Recommended Policies and Practices. National Conference (New Orleans, Louisiana, December 9-11, 1992).

    Science.gov (United States)

    National Governors' Association, Washington, DC.

    These proceedings include 13 "perspectives from the field" and 9 selected papers (with abstracts) from a national conference on recommended policies and practices for investing in youth. The 13 perspectives papers are as follows: "Saving the Next Generation" (Berlin); "Effective Strategies for Investing in Youth"…

  8. ERGONOMIC DESIGN RECOMMENDATIONS BASED ON AN ACTUAL CHAINSAW DESIGN

    Directory of Open Access Journals (Sweden)

    J. Kaljun

    2012-01-01

    Full Text Available

    ENGLISH ABSTRACT: To develop high quality products, a designer has to consider various influential factors, one of which is ergonomics. And to fashion a specific product for the user, a designer needs expert knowledge of the user’s requirements. However, expert knowledge can also be accessed through an intelligent advisory system for ergonomic design support. The effectiveness of such an expert system depends mainly on the quality of the knowledge base and on the appropriateness of the system's inference engine. Data for the system’s knowledge base can be collected in different ways. One approach is to study relevant projects to collect appropriate ergonomic solutions; another is to recognise bottlenecks in ergonomic design. This paper presents a case study of the design of an actual chainsaw – with emphasis on ergonomic design solutions – that can be transformed into ergonomic design recommendations. At the end of the paper, an application of one of the derived recommendations within the knowledge base of the intelligent advisory system is presented.

    AFRIKAANSE OPSOMMING: By die ontwerp van gehaltegoedere moet aandag gegee word aan verskeie faktore soos die Ergonomie. Die produkontwerper moet deeglike kennis dra van die verbruikersbehoeftes. Daarbenewens moet hy liefs ook gebruik maak van ’n intelligente sisteem vir ontwerphulp. Die navorsing is toegespits op datasteun vir ’n kettingsaagontwerp en toon hoe die intelligente sisteem betekenisvolle ondersteuning verleen.

  9. A Probability-Based Hybrid User Model for Recommendation System

    Directory of Open Access Journals (Sweden)

    Jia Hao

    2016-01-01

    Full Text Available With the rapid development of information communication technology, the available information or knowledge is exponentially increased, and this causes the well-known information overload phenomenon. This problem is more serious in product design corporations because over half of the valuable design time is consumed in knowledge acquisition, which highly extends the design cycle and weakens the competitiveness. Therefore, the recommender systems become very important in the domain of product domain. This research presents a probability-based hybrid user model, which is a combination of collaborative filtering and content-based filtering. This hybrid model utilizes user ratings and item topics or classes, which are available in the domain of product design, to predict the knowledge requirement. The comprehensive analysis of the experimental results shows that the proposed method gains better performance in most of the parameter settings. This work contributes a probability-based method to the community for implement recommender system when only user ratings and item topics are available.

  10. Security Considerations and Recommendations in Computer-Based Testing

    Directory of Open Access Journals (Sweden)

    Saleh M. Al-Saleem

    2014-01-01

    Full Text Available Many organizations and institutions around the globe are moving or planning to move their paper-and-pencil based testing to computer-based testing (CBT. However, this conversion will not be the best option for all kinds of exams and it will require significant resources. These resources may include the preparation of item banks, methods for test delivery, procedures for test administration, and last but not least test security. Security aspects may include but are not limited to the identification and authentication of examinee, the risks that are associated with cheating on the exam, and the procedures related to test delivery to the examinee. This paper will mainly investigate the security considerations associated with CBT and will provide some recommendations for the security of these kinds of tests. We will also propose a palm-based biometric authentication system incorporated with basic authentication system (username/password in order to check the identity and authenticity of the examinee.

  11. Security considerations and recommendations in computer-based testing.

    Science.gov (United States)

    Al-Saleem, Saleh M; Ullah, Hanif

    2014-01-01

    Many organizations and institutions around the globe are moving or planning to move their paper-and-pencil based testing to computer-based testing (CBT). However, this conversion will not be the best option for all kinds of exams and it will require significant resources. These resources may include the preparation of item banks, methods for test delivery, procedures for test administration, and last but not least test security. Security aspects may include but are not limited to the identification and authentication of examinee, the risks that are associated with cheating on the exam, and the procedures related to test delivery to the examinee. This paper will mainly investigate the security considerations associated with CBT and will provide some recommendations for the security of these kinds of tests. We will also propose a palm-based biometric authentication system incorporated with basic authentication system (username/password) in order to check the identity and authenticity of the examinee.

  12. The need for economic policy coordination between Europe, Japan, and the United States: Policy recommendations for the 1990s

    NARCIS (Netherlands)

    A. Knoester (Anthonie); A. Kolodziejak (André)

    1994-01-01

    textabstractBetter policy coordination between Europe, Japan, and the United States is urgently needed in order to restore economic growth and to diminish mutual trade imbalances. Using the EC Compact model it is shown how coordinated fiscal policies can contribute to reaching these goals in the

  13. Modeling Uncertainty and the Economics of Climate Change. Recommendations for Robust Energy Policy

    International Nuclear Information System (INIS)

    Haurie, A.; Tavoni, M.; Van der Zwaan, B.C.C.

    2011-01-01

    This special issue is meant to gather front-edge research and innovative analysis in the modeling of uncertainty related to the economics of climate change. The focus is notably on advancements in probabilistic integrated assessment modeling and stochastic analysis of climate futures. The possibility to use non-probabilistic economic methods to treat uncertainty in global or regional dynamic climate change models is explored as well. Given the intimate link between climate change and the nature of mankind's energy production and consumption system, this special issue also proffers direct practical recommendations for energy decision making at the global, regional, and national levels. The special issue originated from a series of research tasks carried out under the PLANETS project, funded by the European Commission under its 7th Framework Programme and co-coordinated by the Fondazione Eni Enrico Mattei (FEEM) and the Energy research Centre of the Netherlands (ECN). This project, accomplished in 2010, had, as main focus, how to incorporate uncertainty when carrying out numerical analysis of climate and energy policies. A special PLANETS session was organized during the 2010 edition of the International Energy Workshop (IEW 2010, Royal Institute of Technology, Stockholm), which generated broad expert discussion on both methodology and policy-related issues. The recognition of the importance of these topics and the diversity of approaches undertaken, plus a concern over them becoming fragmented in the literature, constituted the motivation to edit this special issue gathering the generated material in one orchestrated publication. Several contributions, in the form of 12 papers, have been brought together with the aim of providing a comprehensive overview of some of the main recent developments in the modeling of uncertainty in the economics of climate change. We categorize these 12 articles in five distinct domains in hybrid integrated assessment EEE (Energy

  14. Modeling Uncertainty and the Economics of Climate Change. Recommendations for Robust Energy Policy

    Energy Technology Data Exchange (ETDEWEB)

    Haurie, A. [ORDECSYS, Geneva (Switzerland); Tavoni, M. [Princeton University, Princeton, NJ (United States); Van der Zwaan, B.C.C. [Policy Studies Department, Energy research Centre of the Netherlands ECN, Amsterdam (Netherlands)

    2011-07-15

    This special issue is meant to gather front-edge research and innovative analysis in the modeling of uncertainty related to the economics of climate change. The focus is notably on advancements in probabilistic integrated assessment modeling and stochastic analysis of climate futures. The possibility to use non-probabilistic economic methods to treat uncertainty in global or regional dynamic climate change models is explored as well. Given the intimate link between climate change and the nature of mankind's energy production and consumption system, this special issue also proffers direct practical recommendations for energy decision making at the global, regional, and national levels. The special issue originated from a series of research tasks carried out under the PLANETS project, funded by the European Commission under its 7th Framework Programme and co-coordinated by the Fondazione Eni Enrico Mattei (FEEM) and the Energy research Centre of the Netherlands (ECN). This project, accomplished in 2010, had, as main focus, how to incorporate uncertainty when carrying out numerical analysis of climate and energy policies. A special PLANETS session was organized during the 2010 edition of the International Energy Workshop (IEW 2010, Royal Institute of Technology, Stockholm), which generated broad expert discussion on both methodology and policy-related issues. The recognition of the importance of these topics and the diversity of approaches undertaken, plus a concern over them becoming fragmented in the literature, constituted the motivation to edit this special issue gathering the generated material in one orchestrated publication. Several contributions, in the form of 12 papers, have been brought together with the aim of providing a comprehensive overview of some of the main recent developments in the modeling of uncertainty in the economics of climate change. We categorize these 12 articles in five distinct domains in hybrid integrated assessment EEE (Energy

  15. Recommendations to enhance constructivist-based learning in Interprofessional Education using video-based self-assessment

    Directory of Open Access Journals (Sweden)

    Dahmen, Uta

    2016-04-01

    Full Text Available Introduction: Interprofessional collaboration is crucial to the optimization of patient care.Aim: This paper aims to provide recommendations for implementing an innovative constructivist educational concept with the core element of video-based self-assessment.Methodology: A course for students in medicine, physiotherapy, and nursing was developed through interprofessional, cross-institutional collaboration. The course consisted of We evaluated the preparation and implementation of the three courses conducted thus far. Concrete recommendations for implementation were made based on evaluation sheets (students, open discussions (tutors, instructors, institutions and recorded meeting minutes (project managers, project participants.Results: Basic recommendations for implementation include: selecting appropriate criteria for self-assessment and a simulated situation that offers members of each professional group an equal opportunity to act in the role play. In terms of administrative implementation we recommend early coordination among the professions and educational institutions regarding the target groups, scheduling and attendance policy to ensure participant recruitment across all professions. Procedural planning should include developing teaching materials, such as the case vignette and treatment scenario, and providing technical equipment that can be operated intuitively in order to ensure efficient recording.Conclusion: These recommendations serve as an aid for implementing an innovative constructivist educational concept with video-based self-assessment at its core.

  16. Recommendations to enhance constructivist-based learning in Interprofessional Education using video-based self-assessment.

    Science.gov (United States)

    Dahmen, Uta; Schulze, Christine; Schindler, Claudia; Wick, Katharina; Schwartze, Dominique; Veit, Andrea; Smolenski, Ulrich

    2016-01-01

    Interprofessional collaboration is crucial to the optimization of patient care. This paper aims to provide recommendations for implementing an innovative constructivist educational concept with the core element of video-based self-assessment. A course for students in medicine, physiotherapy, and nursing was developed through interprofessional, cross-institutional collaboration. The course consisted of drawing on prior knowledge about the work done by each professional group in regard to a specific clinical scenario and an interprofessional treatment situation, filming a role play of this treatment situation, and a structured self-assessment of the role play. We evaluated the preparation and implementation of the three courses conducted thus far. Concrete recommendations for implementation were made based on evaluation sheets (students), open discussions (tutors, instructors, institutions) and recorded meeting minutes (project managers, project participants). Basic recommendations for implementation include: selecting appropriate criteria for self-assessment and a simulated situation that offers members of each professional group an equal opportunity to act in the role play. In terms of administrative implementation we recommend early coordination among the professions and educational institutions regarding the target groups, scheduling and attendance policy to ensure participant recruitment across all professions. Procedural planning should include developing teaching materials, such as the case vignette and treatment scenario, and providing technical equipment that can be operated intuitively in order to ensure efficient recording. These recommendations serve as an aid for implementing an innovative constructivist educational concept with video-based self-assessment at its core.

  17. Conflict between Supermarkets and Wet-Markets in Ghana: Early Warning Signals and Preventive Policy Recommendations

    Directory of Open Access Journals (Sweden)

    Etornam Kosi Anku

    2017-10-01

    Full Text Available The source of conflict between Supermarkets and Wet-markets arise from the use of market power and economies of scale by one group against the other. This study explores the tensions that exist between modern retailers and their traditional counterparts as a result of the influx of supermarkets in Ghana. The main objective of the study is to compare attributes related to the control of access to consumers by the Supermarket and the Wet-market. In this study, the dot-survey approach of Rapid Market Assessment Technique was used to elicit information from 438 respondents at the Madina market (wet-market and Melcom (supermarket over a period of two weeks and Wilcoxon-Mann-Whitney (WMW comparison test and descriptive statistics were employed for the analysis. The results revealed that consumers patronise the supermarkets for convenience and the wet-market for freshness of product. Their purchasing decisions were affected by their level of education and product selections of the retailer. The highly educated preferred to shop at the Supermarket instead of the Wet-market; however, over 50% of respondents preferred the wet-market for fresh food products and the supermarket for non-food items. Each retailer receives its fair share of purchases from its loyal customers, therefore the revolution arising from the supermarket influx in Ghana has not yet resulted into conflict between supermarkets and their traditional counterparts, though it is inevitable if nothing is done to prevent it from happening. To avoid the conflict, it is recommended that policies should be instituted to (i improve the market infrastructures and shopping environment in the Wet-markets, (ii give tax concession to modern retailers who source products from local farmers and small-scale processors, (iii enable traditional retailers position themselves on the fringe and co-exist with modern retailers and (iv enforce public standards with regards to food safety laws in the traditional

  18. Characterization of the household electricity consumption in the EU, potential energy savings and specific policy recommendations

    Energy Technology Data Exchange (ETDEWEB)

    Fonseca, Paula; Almeida, Anibal de (ISR-Univ. of Coimbra, Dep. Electrical Engineering (Portugal)). e-mail: pfonseca@isr.uc.pt; Feilberg, Nicolai (SINTEF Energiforskning AS (Norway)); Markogiannakis, George (Centre for Renewable Energy Sources - CRES (Greece)); Kofod, Casper (Energy piano (Denmark))

    2009-07-01

    Although significant improvements in energy efficiency have been achieved in home appliances and lighting, the electricity consumption in the average EU-27 household has been increasing by about 2% per year during the past 10 years. Some reasons for such increase are associated with an increased degree of basic comfort and level of amenities (particularly in the new EU member countries) and also with the widespread utilization of relatively new types of loads whose penetration and use has experienced a very significant growth in recent years. With the objective of contributing to an increased understanding of the energy consumption in the EU-27 households for the different types of equipment including the consumers' behaviour and comfort levels, and to identify demand trends, a large energy monitoring campaign, co-funded by the IEE programme, was carried out in 12 countries, accompanied by a lifestyle consumer survey. From the measurements carried out it can be concluded that IT and entertainment loads, including standby, are a key contributor to the power demand. In basically all types of loads there is wide range of performance levels, including new emerging technologies, in the models available in the market. Available technology, associated with responsible consumer behaviour, can reduce wasteful consumption. The potential electricity savings that exist in the residential sector in Europe, and that can already be implemented by existing means, like the use of BAT (best available technology) efficient appliances or the elimination/mitigation of standby consumption, can reach up to 48% savings. Specific policy recommendations to promote market transformation and behavioural changes in the equipment selection and operation have been identified.

  19. Environmental components of OCS policy committee recommendations regarding national oil spill prevention and response program

    International Nuclear Information System (INIS)

    Groat, C.G.; Thorman, J.

    1991-01-01

    The Exxon Valdez oil spill of March 24, 1989 resulted in thousands of pages of analytical reports assessing the environmental, organizational, legal, procedural, social, economic, and political aspects of the event. Even though the accident was a transportation incident, it had a major impact on the public and political perception of offshore oil operations. This caused the OCS Policy Committee, which advises the Secretary of the Interior and the Minerals Management Service on Outer Continental Shelf resource development and environmental matters, to undertake a review of the reports for the purpose of developing recommendations to the secretary for improvements in OCS operations that would insure maximum efforts to prevent spills and optimal ability to deal with any that occur. The Committee felt strongly that 'a credible national spill prevention and response program from both OCS and non-OCS oil spills in the marine environment is needed to create the political climate for a viable OCS program.' The report of the Committee described eight essential elements of this program; four of these focused on the environmental aspects of oil spills, calling for (1) adequate characterization of the marine and coastal environment, including both information and analysis, accessible to decision makers, (2) the capacity to restore economic and environmental resources as quickly as possible if damage occurs, (3) a mechanism for research on oil spill impacts, and (4) a meaningful role for all interested and responsible parties, including the public, in as many of these activities as possible, from spill prevention and contingency planning to environmental oversight of ongoing operations and participation in clean-up and restoration activities

  20. Image Recommendation Algorithm Using Feature-Based Collaborative Filtering

    Science.gov (United States)

    Kim, Deok-Hwan

    As the multimedia contents market continues its rapid expansion, the amount of image contents used in mobile phone services, digital libraries, and catalog service is increasing remarkably. In spite of this rapid growth, users experience high levels of frustration when searching for the desired image. Even though new images are profitable to the service providers, traditional collaborative filtering methods cannot recommend them. To solve this problem, in this paper, we propose feature-based collaborative filtering (FBCF) method to reflect the user's most recent preference by representing his purchase sequence in the visual feature space. The proposed approach represents the images that have been purchased in the past as the feature clusters in the multi-dimensional feature space and then selects neighbors by using an inter-cluster distance function between their feature clusters. Various experiments using real image data demonstrate that the proposed approach provides a higher quality recommendation and better performance than do typical collaborative filtering and content-based filtering techniques.

  1. Policy administration in tag-based authorization

    NARCIS (Netherlands)

    Etalle, Sandro; Hinrichs, Timothy L.; Lee, Adam J.; Trivellato, Daniel; Zannone, Nicola

    2013-01-01

    Tag-Based Authorization (TBA) is a hybrid access control model that combines the ease of use of extensional access control models with the expressivity of logic-based formalisms. The main limitation of TBA is that it lacks support for policy administration. More precisely, it does not allow

  2. Policy-Based Management Natural Language Parser

    Science.gov (United States)

    James, Mark

    2009-01-01

    The Policy-Based Management Natural Language Parser (PBEM) is a rules-based approach to enterprise management that can be used to automate certain management tasks. This parser simplifies the management of a given endeavor by establishing policies to deal with situations that are likely to occur. Policies are operating rules that can be referred to as a means of maintaining order, security, consistency, or other ways of successfully furthering a goal or mission. PBEM provides a way of managing configuration of network elements, applications, and processes via a set of high-level rules or business policies rather than managing individual elements, thus switching the control to a higher level. This software allows unique management rules (or commands) to be specified and applied to a cross-section of the Global Information Grid (GIG). This software embodies a parser that is capable of recognizing and understanding conversational English. Because all possible dialect variants cannot be anticipated, a unique capability was developed that parses passed on conversation intent rather than the exact way the words are used. This software can increase productivity by enabling a user to converse with the system in conversational English to define network policies. PBEM can be used in both manned and unmanned science-gathering programs. Because policy statements can be domain-independent, this software can be applied equally to a wide variety of applications.

  3. Time dependent policy-based access control

    DEFF Research Database (Denmark)

    Vasilikos, Panagiotis; Nielson, Flemming; Nielson, Hanne Riis

    2017-01-01

    also on other attributes of the environment such as the time. In this paper, we use systems of Timed Automata to model distributed systems and we present a logic in which one can express time-dependent policies for access control. We show how a fragment of our logic can be reduced to a logic......Access control policies are essential to determine who is allowed to access data in a system without compromising the data's security. However, applications inside a distributed environment may require those policies to be dependent on the actual content of the data, the flow of information, while...... that current model checkers for Timed Automata such as UPPAAL can handle and we present a translator that performs this reduction. We then use our translator and UPPAAL to enforce time-dependent policy-based access control on an example application from the aerospace industry....

  4. On condition based maintenance policy

    Directory of Open Access Journals (Sweden)

    Jong-Ho Shin

    2015-04-01

    Full Text Available In the case of a high-valuable asset, the Operation and Maintenance (O&M phase requires heavy charges and more efforts than the installation (construction phase, because it has long usage life and any accident of an asset during this period causes catastrophic damage to an industry. Recently, with the advent of emerging Information Communication Technologies (ICTs, we can get the visibility of asset status information during its usage period. It gives us new challenging issues for improving the efficiency of asset operations. One issue is to implement the Condition-Based Maintenance (CBM approach that makes a diagnosis of the asset status based on wire or wireless monitored data, predicts the assets abnormality, and executes suitable maintenance actions such as repair and replacement before serious problems happen. In this study, we have addressed several aspects of CBM approach: definition, related international standards, procedure, and techniques with the introduction of some relevant case studies that we have carried out.

  5. Assessing the sustainability of African lion trophy hunting, with recommendations for policy.

    Science.gov (United States)

    Creel, Scott; M'soka, Jassiel; Dröge, Egil; Rosenblatt, Eli; Becker, Matthew S; Matandiko, Wigganson; Simpamba, Twakundine

    2016-10-01

    While trophy hunting provides revenue for conservation, it must be carefully managed to avoid negative population impacts, particularly for long-lived species with low natural mortality rates. Trophy hunting has had negative effects on lion populations throughout Africa, and the species serves as an important case study to consider the balance of costs and benefits, and to consider the effectiveness of alternative strategies to conserve exploited species. Age-restricted harvesting is widely recommended to mitigate negative effects of lion hunting, but this recommendation was based on a population model parameterized with data from a well-protected and growing lion population. Here, we used demographic data from lions subject to more typical conditions, including source-sink dynamics between a protected National Park and adjacent hunting areas in Zambia's Luangwa Valley, to develop a stochastic population projection model and evaluate alternative harvest scenarios. Hunting resulted in population declines over a 25-yr period for all continuous harvest strategies, with large declines for quotas >1 lion/concession (~0.5 lion/1,000 km 2 ) and hunting of males younger than seven years. A strategy that combined periods of recovery, an age limit of ≥7 yr, and a maximum quota of ~0.5 lions shot/1,000 km 2 yielded a risk of extirpation lion trophy hunting with a combination of regulations. To implement sustainable trophy hunting while maintaining revenue for conservation of hunting areas, our results suggest that hunting fees must increase as a consequence of diminished supply. These findings are broadly applicable to hunted lion populations throughout Africa and to inform global efforts to conserve exploited carnivore populations. © 2016 by the Ecological Society of America.

  6. How evidence-based are the recommendations in evidence-based guidelines?

    Directory of Open Access Journals (Sweden)

    Finlay A McAlister

    2007-08-01

    Full Text Available BACKGROUND: Treatment recommendations for the same condition from different guideline bodies often disagree, even when the same randomized controlled trial (RCT evidence is cited. Guideline appraisal tools focus on methodology and quality of reporting, but not on the nature of the supporting evidence. This study was done to evaluate the quality of the evidence (based on consideration of its internal validity, clinical relevance, and applicability underlying therapy recommendations in evidence-based clinical practice guidelines. METHODS AND FINDINGS: A cross-sectional analysis of cardiovascular risk management recommendations was performed for three different conditions (diabetes mellitus, dyslipidemia, and hypertension from three pan-national guideline panels (from the United States, Canada, and Europe. Of the 338 treatment recommendations in these nine guidelines, 231 (68% cited RCT evidence but only 105 (45% of these RCT-based recommendations were based on high-quality evidence. RCT-based evidence was downgraded most often because of reservations about the applicability of the RCT to the populations specified in the guideline recommendation (64/126 cases, 51% or because the RCT reported surrogate outcomes (59/126 cases, 47%. CONCLUSIONS: The results of internally valid RCTs may not be applicable to the populations, interventions, or outcomes specified in a guideline recommendation and therefore should not always be assumed to provide high-quality evidence for therapy recommendations.

  7. Nonsurgical Medical Penile Girth Augmentation: Experience-Based Recommendations.

    Science.gov (United States)

    Oates, Jayson; Sharp, Gemma

    2017-10-01

    Penile augmentation is increasingly sought by men who are dissatisfied with the size and/or appearance of their penis. However, augmentation procedures are still considered to be highly controversial with no standardized recommendations reported in the medical literature and limited outcome data. Nevertheless, these procedures continue to be performed in increasing numbers in private settings. Therefore, there is a need for safe, effective, and minimally invasive procedures to be developed, evaluated, and reported in the research literature. In this article, we focus particularly on girth enhancement procedures rather than lengthening procedures as penile girth appears to be particularly important for sexual satisfaction. We discuss the advantages and disadvantages of the common techniques to date, with a focus on the minimally invasive injectable girth augmentation techniques. Based on considerable operative experience, we offer our own suggestions for patient screening, technique selection, and perioperative care. © 2017 The American Society for Aesthetic Plastic Surgery, Inc. Reprints and permission: journals.permissions@oup.com.

  8. A Policy Analysis of the Coast Guard's Existing Patient Satisfaction System and Recommendations for Improvement

    National Research Council Canada - National Science Library

    Coughlin, Kelly A

    2007-01-01

    .... This paper evaluates CG organizational demands, describes CG practice landscape, presents standards, reviews initial clinic process analysis, and evaluates the cost and criteria of proposed policy alternatives...

  9. Social Media Policy in Social Work Education: A Review and Recommendations

    Science.gov (United States)

    Karpman, Hannah E.; Drisko, James

    2016-01-01

    Although social media use has grown dramatically, program policies have not kept pace. Some programs now state that student social media activities have led to professional conduct reviews and may violate ethical standards. This article reviews current social media policies and conceptualizes their key elements. A review of current social media…

  10. Nuclear Waste Policy Act of 1982; proposed general guidelines for recommendation of sites for nuclear waste repositories

    International Nuclear Information System (INIS)

    Anon.

    1983-01-01

    In accordance with the requirements of the Nuclear Waste Policy Act of 1982 (Pub. L. 97-425), hereinafter referred to as the Act, the Department of Energy is proposing general guidelines for the recommendation of sites for repositories for disposal of high-level radioactive waste and spent nuclear fuel in geologic formations. These guidelines are based on the criteria that the Department has used in its National Waste Terminal Storage program, the criteria proposed by the Nuclear Regulatory Commission (NRC), and the environmental standards proposed by the Environmental Protection Agency. These guidelines establish the performance requirements for a geologic repository system, specify how the Department will implement its site-selection program, and define the technical qualifications that candidate sites must meet in the various steps of the site-selection process mandated by the Act. After considering comments from the public; consulting with the Council on Environmental Quality, the Administrator of the Environmental Protection Agency, the Director of the Geological Survey, and interested Governors; and obtaining NRC concurrence, the Department will issue these guidelines in final form as a new Part 960 to Title 10 of the Code of Federal Regulations (10 CFR Part 960)

  11. A trajectory-based recommender system for tourism

    OpenAIRE

    Baraglia, Ranieri; Frattari, Claudio; Muntean, Cristina Ioana; Nardini, Franco Maria; Silvestri, Fabrizio

    2012-01-01

    Recommendation systems provide focused information to users on a set of objects belonging to a specific domain. The proposed recommender system provides personalized suggestions about touristic points of interest. The system generates recommendations, consisting of touristic places, according to the current position of a tourist and previously collected data describing tourist movements in a touristic location/city. The touristic sites correspond to a set of points of interest identified a pr...

  12. Economic evaluation on tight sandstone gas development projects in China and recommendation on fiscal and taxation support policies

    Directory of Open Access Journals (Sweden)

    Zhen Yang

    2016-11-01

    Full Text Available China is rich in tight sandstone gas resources (“tight gas” for short. For example, the Sulige Gasfield in the Ordos Basin and the Upper Triassic Xujiahe Fm gas reservoir in the Sichuan Basin are typical tight gas reservoirs. In the past decade, tight gas reserve and production both have increased rapidly in China, but tight gas reservoirs are always managed as conventional gas reservoirs without effective fiscal, taxation and policy supports. The potential of sustainable tight gas production increase is obviously restricted. The tight gas development projects represented by the Sulige Gasfield have failed to make profit for a long period, and especially tight gas production has presented a slight decline since 2015. In this paper, a new economic evaluation method was proposed for tight gas development projects. The new method was designed to verify the key parameters (e.g. production decline rate and single-well economic service life depending on tight gas development and production characteristics, and perform the depreciation by using the production method. Furthermore, the possibility that the operation cost may rise due to pressure-boosting production and intermittent opening of gas wells is considered. The method was used for the tight gas development project of Sulige Gasfield, showing that its profit level is much lower than the enterprise's cost level of capital. In order to support a sustainable development of tight gas industry in China, it is recommended that relevant authorities issue value-added tax (VAT refund policy as soon as possible. It is necessary to restore the non-resident gas gate price of the provinces where tight gas is produced to the fair and reasonable level in addition to the fiscal subsidy of CNY0.24/m3, or offer the fiscal subsidy of CNY0.32/m3 directly based on the on-going gate price. With these support policies, tax income is expected to rise directly, fiscal expenditure will not increase, and gas

  13. Recommendations for scale-up of community-based misoprostol distribution programs.

    Science.gov (United States)

    Robinson, Nuriya; Kapungu, Chisina; Carnahan, Leslie; Geller, Stacie

    2014-06-01

    Community-based distribution of misoprostol for prevention of postpartum hemorrhage (PPH) in resource-poor settings has been shown to be safe and effective. However, global recommendations for prenatal distribution and monitoring within a community setting are not yet available. In order to successfully translate misoprostol and PPH research into policy and practice, several critical points must be considered. A focus on engaging the community, emphasizing the safe nature of community-based misoprostol distribution, supply chain management, effective distribution, coverage, and monitoring plans are essential elements to community-based misoprostol program introduction, expansion, or scale-up. Copyright © 2014 International Federation of Gynecology and Obstetrics. Published by Elsevier Ireland Ltd. All rights reserved.

  14. Utility-Based Link Recommendation in Social Networks

    Science.gov (United States)

    Li, Zhepeng

    2013-01-01

    Link recommendation, which suggests links to connect currently unlinked users, is a key functionality offered by major online social networking platforms. Salient examples of link recommendation include "people you may know"' on Facebook and "who to follow" on Twitter. A social networking platform has two types of stakeholder:…

  15. Web items recommendation using hybridized content-based and ...

    African Journals Online (AJOL)

    Recommender Systems are software agent developed to tackle the problem of information overload by providing recommendations that assist individual users identify contents of interest by using the opinions of a community of users, similarities between items contents or the user's preferences. The exponential growth of ...

  16. Goal-based structuring in a recommender systems

    NARCIS (Netherlands)

    Magoulas, G.D.; van Setten, Mark; Veenstra, Mettina; Chen, S.Y; Nijholt, Antinus; van Dijk, Elisabeth M.A.G.

    Recommender systems help people to find information that is interesting to them. However, current recommendation techniques only address the user's short-term and long-term interests, not their immediate interests. This paper describes a method to structure information (with or without using

  17. Policy analysis and recommendations for the open source application development portal (OSADP).

    Science.gov (United States)

    2012-06-01

    This white paper addresses the policy and institutional issues that are associated with the development of an open source applications development portal (OSADP), part of a larger research effort being conducted under the ITS Programs Dynamic Mobi...

  18. Case-Based Policy and Goal Recognition

    Science.gov (United States)

    2015-09-30

    Policy and Goal Recognizer (PaGR), a case- based system for multiagent keyhole recognition. PaGR is a knowledge recognition component within a decision...However, unlike our agent in the BVR domain, these recognition agents have access to perfect information. Single-agent keyhole plan recognition can be...listed below: 1. Facing Target 2. Closing on Target 3. Target Range 4. Within a Target’s Weapon Range 5. Has Target within Weapon Range 6. Is in Danger

  19. Personalized recommendation based on preferential bidirectional mass diffusion

    Science.gov (United States)

    Chen, Guilin; Gao, Tianrun; Zhu, Xuzhen; Tian, Hui; Yang, Zhao

    2017-03-01

    Recommendation system provides a promising way to alleviate the dilemma of information overload. In physical dynamics, mass diffusion has been used to design effective recommendation algorithms on bipartite network. However, most of the previous studies focus overwhelmingly on unidirectional mass diffusion from collected objects to uncollected objects, while overlooking the opposite direction, leading to the risk of similarity estimation deviation and performance degradation. In addition, they are biased towards recommending popular objects which will not necessarily promote the accuracy but make the recommendation lack diversity and novelty that indeed contribute to the vitality of the system. To overcome the aforementioned disadvantages, we propose a preferential bidirectional mass diffusion (PBMD) algorithm by penalizing the weight of popular objects in bidirectional diffusion. Experiments are evaluated on three benchmark datasets (Movielens, Netflix and Amazon) by 10-fold cross validation, and results indicate that PBMD remarkably outperforms the mainstream methods in accuracy, diversity and novelty.

  20. Evaluation of Item-Based Top-N Recommendation Algorithms

    National Research Council Canada - National Science Library

    Karypis, George

    2000-01-01

    The explosive growth of the world-wide-web and the emergence of e-commerce has led to the development of recommender systems a personalized information filtering technology used to identify a set of N...

  1. Item-Based Top-N Recommendation Algorithms

    National Research Council Canada - National Science Library

    Deshpande, Mukund; Karypis, George

    2003-01-01

    The explosive growth of the world-wide-web and the emergence of e-commerce has led to the development of recommender systems a personalized information filtering technology used to identify a set of N...

  2. Kernel based collaborative recommender system for e-purchasing

    Indian Academy of Sciences (India)

    proposed in order to overcome the traditional problems of CRS. ... known method for matrix factorization that provides the lowest rank ..... Adomavicius G, Tuzhilin A 2005 Toward the next generation of recommender systems: A survey of.

  3. Advancing Health Marketing Research and Policy Recommendations by Incorporating Source Perspectives.

    Science.gov (United States)

    Mackert, Michael; Guadagno, Marie; Champlin, Sara

    2015-01-01

    Communication researchers, recognizing the message sent is not necessarily the same as the message received, have incorporated the perspective of advertising professionals into the study of advertising effects. Health marketing research could similarly benefit from incorporating this largely absent perspective into the academic and policy debate surrounding the impact of advertising on health issues ranging from obesity to alcohol use. This commentary serves as a call to action to stakeholders in this academic and policy debate: focus on the perspective of advertising professionals to enrich health marketing and public health research in which advertising is the delivery vehicle for health messages.

  4. Strategies for Working with Asian Americans in Mental Health: Community Members' Policy Perspectives and Recommendations.

    Science.gov (United States)

    Weng, Suzie S; Spaulding-Givens, Jennifer

    2017-09-01

    This qualitative study used snowball sampling of individuals known to provide informal assistance to Asian American community members with their mental health problems in a locality in the South where there has been an exponential increase of the Asian American population. The major themes found include: (1) the existence of cultural, language, knowledge, and transportation barriers and the importance of policy in addressing them; (2) the impact of the model minority myth and the need for inclusive policymaking; and (3) the unique service and policy needs of immigrants. Findings demonstrate the importance and value of including diverse Asian American individuals in mental health policymaking efforts.

  5. RECOMMENDATION OF FERTILIZERS BASED ON THE LAW OF DIMINISHING RETURN

    Directory of Open Access Journals (Sweden)

    Geicimara Guimarães

    2011-07-01

    Full Text Available The objective of this work was to demonstrate the viability of making recommendation of fertilizers for corn and bean cultures based on models of saturation kinetics, following the Law of diminishing return, aiming to improve the efficiency of nutrient use, reducing the costs of production and avoiding the excessive use of non renewable natural resources. In the corn culture (grain hybrid they were utilized levels of 0.0, 0.25, 0.5, 1, 2, 4, 8, 16 and 32 g/hole of fertilizer NPK 4-14-8 in seeding and same amounts of ammonium sulfate 34 days later. The space between plants was of 20 x 70 cm (71.429 plants/hectare, with eight replicates per each level, totalizing 72 plants in the experimental area. In bean culture (red variety they were utilized levels of 0.0, 0.25, 0.50, 1, 2, 4, 8, 16 and 32 g/hole of NPK 4-14-8 in planting. The space between plants was of 20 x 50 cm, with two grains per hole (71.429 plants/hectare, with eight holes per each level, totalizing 144 plants in the experimental area. The models of saturation kinetics of Lineweaver-Burk presented good adjustments for responses of corn and beans to fertilization, following the Law of diminishing return, in which 4 to 8 g of fertilizer per hole caused good part of the productive response for corn and 2 grams for bean. The employee of moderate level of fertilization leads to a more sustainable and economically viable agriculture to the household producer.

  6. HEALTH OCCUPATIONS SUPPORTIVE TO NURSING, A STATEMENT OF POLICIES AND RECOMMENDATIONS.

    Science.gov (United States)

    American Nurses' Association, New York, NY.

    TO SOLVE THE NURSING PERSONNEL SHORTAGE, THE AMERICAN NURSES' ASSOCIATION RECOMMENDED--(1) THE FIRST PRIORITY FOR FEDERAL MONIES FOR TRAINING HEALTH WORKERS FOR NURSING SERVICES SHOULD BE TO PREPARE REGISTERED NURSES FOR TEACHING, SUPERVISION, AND ADMINISTRATION, (2) A CONCERTED EFFORT SHOULD BE MADE TO RECRUIT YOUNG PEOPLE AND TO ATTRACT INACTIVE…

  7. Anonymous Communication Policies for the Internet: Results and Recommendations of the AAAS Conference.

    Science.gov (United States)

    Teich, Al; Frankel, Mark S.; Kling, Rob; Lee, Yaching

    1999-01-01

    Reports the results of a conference on the Internet and anonymous communication organized by the American Association for the Advancement of Science (AAAS). Discusses how anonymous communications can be shaped by the law, education, and public awareness, and highlights the importance of involving all affected interests in policy development.…

  8. [Recommendations for implementing the quality policy and organisation of a quality management system].

    Science.gov (United States)

    Daunizeau, A

    2013-06-01

    Preliminary issues to implement a quality management system are described. They include the definition of the structure, a hierarchical and functional organization chart and the engagement of the whole personnel to apply the requirements of the standard EN ISO 15189. The policy has to be translated into objectives.

  9. Guidelines to the Development of Human Resources in Libraries: Rationale, Policies, Programs and Recommendations

    Science.gov (United States)

    Library Trends, 1971

    1971-01-01

    It is apparent that there are many roadblocks preventing the release of the human potential in our libraries. These guidelines take the position that a great deal can be done toward diagnosing and removing these roadblocks by establishing and developing meaningful policies and programs. (49 references) (Author/NH)

  10. Review of hookah tobacco smoking among college students: policy implications and research recommendations.

    Science.gov (United States)

    Gathuru, Irene M; Tarter, Ralph E; Klein-Fedyshin, Michele

    2015-01-01

    About 30% of college students have smoked hookah tobacco. Although most students perceive this product to be innocuous and non-addictive, hookah tobacco increases the risk for disease and nicotine dependence. Currently, the US Food and Drug Administration (FDA) does not regulate the manufacture, distribution, or sale of hookah tobacco. Empirical literature pertaining to hookah tobacco smoking is reviewed with a focus on the implications for regulatory policy. PubMed, PsycINFO, and Scopus databases were searched to locate articles published in English. The literature search combined several key words including "hookahs", "college", "advertising", "health effects", and "health policy". Smoking hookah tobacco may play a role in the initiation of smoking among tobacco-naïve college students and may portend persistent smoking among those who have smoked cigarettes. College students are typically nondaily, social smokers. They do not perceive that their heightened risk for tobacco diseases and nicotine dependence relates to their smoking behavior. However, few public health messages target college-age adults to counter media messages that endorse hookah tobacco smoking. Given that the FDA is not authorized to ban specific tobacco products, policy actions should focus on the development of effective risk communication strategies that target college-age adults and on limiting the accessibility of hookah tobacco products to these adults. Accordingly, a research agenda that would inform these policy actions is proposed.

  11. Physical and Psychological Health Following Military Sexual Assault: Recommendations for Care, Research, and Policy

    Science.gov (United States)

    2013-01-01

    costs and benefits of disclosure and made an informed deci- sion that it was not in their personal best interest. The emotional trauma of forensic...forensic services, (3) advocacy and emotional support, and (4) mental health and psy- chiatric care. In each subsection, the review focuses primarily...al., 1996). The WHO guidelines recommend that victims who present for services within five days of the assault be offered emergency contraception

  12. Evidence-based policy versus morality policy: the case of syringe access programs.

    Science.gov (United States)

    de Saxe Zerden, Lisa; O'Quinn, Erin; Davis, Corey

    2015-01-01

    Evidence-based practice (EBP) combines proven interventions with clinical experience, ethics, and client preferences to inform treatment and services. Although EBP is integrated into most aspects of social work and public health, at times EBP is at odds with social policy. In this article the authors explore the paradox of evidence-based policy using syringe access programs (SAP) as a case example, and review methods of bridging the gap between the emphasis on EBP and lack of evidence informing SAP policy. Analysis includes the overuse of morality policy and examines historical and current theories why this paradox exists. Action steps are highlighted for creating effective policy and opportunities for public health change. Strategies on reframing the problem and shifting target population focus to garner support for evidence-based policy change are included. This interdisciplinary understanding of the way in which these factors converge is a critical first step in moving beyond morality-based policy toward evidence-based policy.

  13. Policy and technical matters for the application of ICRP 1977 recommendations to Japanese radiation protection regulations

    International Nuclear Information System (INIS)

    Hamada, Tatsuji

    1987-01-01

    Tens years has passed since 1977 when the ICRP recommendations were made, and the work of revising the Japanese radiation regulations in response to the recommendations is almost completed. The work has been conducted mainly by an elemental group established under the Radiation Council. The elemental group submitted the first interim report to the Council in 1980, which presented recommendations on the objectives of radiation protection, dose equivalent limits for the general public, facilities inspection and products testing, medical surveillance, etc. After making deliberations in response to studies by the ICRP working group, the elemental group compiled the second interim report in July 1981. Further studies were conducted and the final report was submitted to the Council in March 1983. The final report covered the definitions of such terms as 'dose equivalent', dose equivalent limit for workers, exposure dose in the event of emergency, dose equivalent limit for the general public, various standards for protection, classification of workers by working conditions, classification of work sites monitoring of exposure dose, and implementation of medical surveillance. After making deliberations, the Council submitted a report in 1986 to government agencies concerned, whose contents are almost the same as those of the above final report except for some amendments. (Nogami, K.)

  14. Tackling U.S. energy challenges and opportunities: preliminary policy recommendations for enhancing energy innovation in the United States

    Energy Technology Data Exchange (ETDEWEB)

    Anadon, Laura Diaz; Gallagher, Kelly Sims; Bunn, Matthew; Jones, Charles

    2009-02-18

    The report offers preliminary recommendations for near-term actions to strengthen the U.S. effort to develop and deploy advanced energy technologies. The report comes as the Obama Administration and the 111th U.S. Congress face enormous challenges and opportunities in tackling the pressing security, economic, and environmental problems posed by the energy sector. Improving the technologies of energy supply and end-use is a prerequisite for surmounting these challenges in a timely and cost-effective way, and this report elaborates on how policy can support develop of these important energy technologies.

  15. A Review of Electric Vehicle Lifecycle Emissions and Policy Recommendations to Increase EV Penetration in India

    OpenAIRE

    Rachana Vidhi; Prasanna Shrivastava

    2018-01-01

    Electric vehicles reduce pollution only if a high percentage of the electricity mix comes from renewable sources and if the battery manufacturing takes place at a site far from the vehicle use region. Industries developed due to increased electric vehicle adoption may also cause additional air pollution. The Indian government has committed to solving New Delhi’s air pollution issues through an ambitious policy of switching 100% of the light duty consumer vehicles to electric vehicles by 2030....

  16. Recommendations, Experiences and Conclusions From Realized Aftercare Public Policies in Czech Republic

    OpenAIRE

    Jan Stejskal; Tana Karlikova

    2006-01-01

    Czech Republic has become one of leading destinations for production foreign investments in Europe in last ten years. This success has been influenced by several factors including history, geography, policy development, economic and social progress transformation and also from Czech Republic’s entrance into NATO and the European Union. We must also take into account traditions, labour skills, price and labour productivity. The central and regional government initiatives (from municipalities...

  17. Inflation and Monetary Policy in Russia: Transition Experience and Future Recommendations

    OpenAIRE

    Marek Dabrowski; Wojciech Paczynski; Lukasz Rawdanowicz

    2002-01-01

    This paper seeks the main factors behind inflation in Russia over the period 1996–2001. It presents a succinct description of Russian monetary policy and inflation developments. The econometric analysis establishes a long-run relationship between demand for the real money balances on the one side and the real income and short-term interest rate on the other side. It also presents several specifications of modeling shortrun dynamics of inflation. An account is made for the change in the exchan...

  18. Managing Law Enforcement Presence in the Emergency Department: Highlighting the Need for New Policy Recommendations.

    Science.gov (United States)

    Tahouni, Morsal R; Liscord, Emory; Mowafi, Hani

    2015-10-01

    The Emergency Department (ED) is the portal of entry to the health care system for a large percentage of patients. This is especially true for victims and perpetrators of interpersonal violence. Frequently, law enforcement personnel (LEP) accompany patients to the ED or seek access to patients during their ED stay or subsequent hospitalization. The time-sensitive nature of both emergency care and criminal investigation motivates both health care personnel and LEP, and can lead to potential conflicts of interest regarding access to patients in the ED. We hope to examine the relationship among patients, providers, and LEP in the ED, and the potential impact these interactions have on patient care. This article presents a review of the relevant literature and policy consideration as well as provides guidance on the development of such policies for EDs. Hospitals, EDs, and trauma resuscitation rooms are highly regulated environments, but LEP largely fall outside the ethical and institutional guidelines of health care institutions. Many potential areas of conflict exist when LEP are present in the ED that can have detrimental effects on patient care, provider liability, and LEP efficacy. Patients' perceptions of collaboration between ED personnel and LEP can compromise emergency patient care. There is a need for hospital policies to govern interactions among patients, emergency health care providers, and LEP in the ED. Copyright © 2015 Elsevier Inc. All rights reserved.

  19. ICT Competence-Based Learning Object Recommendations for Teachers

    Science.gov (United States)

    Sergis, Stylianos; Zervas, Panagiotis; Sampson, Demetrios G.

    2014-01-01

    Recommender Systems (RS) have been applied in the Technology enhanced Learning (TeL) field for facilitating, among others, Learning Object (LO) selection and retrieval. Most of the existing approaches, however, aim at accommodating the needs of learners and teacher-oriented RS are still an under-investigated field. Moreover, the systems that focus…

  20. Towards Analogy-based Recommendation : Benchmarking of Perceived Analogy Semantics

    NARCIS (Netherlands)

    Lofi, C.; Tintarev, N.; Bogers, T.; Koolen, M.; Mobasher, B.; Said, A.; Tuzhilin, A.

    2017-01-01

    Requests for recommendation can be seen as a form of query for candidate items, ranked by relevance. Users are however o‰en
    unable to crisply de€ne what they are looking for. One of the core concepts of natural communication for describing and explaining
    complex information needs in an

  1. Content-based music recommendation using underlying music preference structure

    NARCIS (Netherlands)

    Soleymani, Mohammad; Aljanaki, A.; Wiering, F.; Veltkamp, R.C.

    2015-01-01

    The cold start problem for new users or items is a great challenge for recommender systems. New items can be positioned within the existing items using a similarity metric to estimate their ratings. However, the calculation of similarity varies by domain and available resources. In this paper, we

  2. an architecture-based technique to mobile contact recommendation

    African Journals Online (AJOL)

    user

    Aside being able to store the name of contacts and their phone numbers, there are ... the artificial neural network technique [21], along with ... Recommendation is part of everyday life. This concept ... However, to use RSs some level of intelligence must be ...... [3] Min J.-K. & Cho S.-B.Mobile Human Network Management.

  3. Pharmacologic management of neuropathic pain: Evidence-based recommendations

    DEFF Research Database (Denmark)

    Dworkin, Robert H.; O'Connor, Alec B.; Backonja, Miroslav

    2007-01-01

    and pregabalin), and topical lidocaine. Opioid analgesics and tramadol are recommended as generally second-line treatments that can be considered for first-line use in select clinical circumstances. Other medications that would generally be used as third-line treatments but that could also be used as second...

  4. Second Workshop on New Trends in Content-based Recommender Systems (CBRecSys 2015)

    DEFF Research Database (Denmark)

    Bogers, Toine; Koolen, Marijn

    2015-01-01

    While content-based recommendation has been applied successfully in many different domains, it has not seen the same level of attention as collaborative filtering techniques have. However, there are many recommendation domains and applications where content and metadata play a key role, either...... these data sources should be combined to provided the best recommendation performance. The CBRecSys 2015 workshop aims to address this by providing a dedicated venue for papers dedicated to all aspects of content-based recommendation....

  5. CBRecSys 2016. New Trends on Content-Based Recommender Systems

    DEFF Research Database (Denmark)

    While content-based recommendation has been applied successfully in many different domains, it has not seen the same level of attention as collaborative filtering techniques have. However, there are many recommendation domains and applications where content and metadata play a key role, either...... these data sources should be combined to provided the best recommendation performance. The CBRecSys 2016 workshop provides a dedicated venue for papers dedicated to all aspects of content-based recommendation....

  6. CBRecSys 2015. New Trends on Content-Based Recommender Systems

    DEFF Research Database (Denmark)

    While content-based recommendation has been applied successfully in many different domains, it has not seen the same level of attention as collaborative filtering techniques have. However, there are many recommendation domains and applications where content and metadata play a key role, either...... these data sources should be combined to provided the best recommendation performance. The CBRecSys 2015 workshop aims to address this by providing a dedicated venue for papers dedicated to all aspects of content-based recommendation....

  7. Workshop on New Trends in Content-based Recommender Systems (CBRecSys 2014)

    DEFF Research Database (Denmark)

    Bogers, Toine; Koolen, Marijn; Cantádor, Ivan

    2014-01-01

    While content-based recommendation has been applied successfully in many different domains, it has not seen the same level of attention as collaborative filtering techniques have. However, there are many recommendation domains and applications where content and metadata play a key role, either...... these data sources should be combined to provided the best recommendation performance. The CBRecSys 2014 workshop aims to address this by providing a dedicated venue for papers dedicated to all aspects of content-based recommendation....

  8. Third Workshop on New Trends in Content-based Recommender Systems (CBRecSys 2016)

    DEFF Research Database (Denmark)

    Bogers, Toine; Koolen, Marijn; Musto, Cataldo

    2016-01-01

    While content-based recommendation has been applied successfully in many different domains, it has not seen the same level of attention as collaborative filtering techniques have. However, there are many recommendation domains and applications where content and metadata play a key role, either...... these data sources should be combined to provided the best recommendation performance. The CBRecSys 2016 workshop provides a dedicated venue for papers dedicated to all aspects of content-based recommendation....

  9. Toward the Target Model 2.0. Policy Recommendations for a Sustainable EU Power Market Design. Executive summary

    International Nuclear Information System (INIS)

    Roques, Fabien; Perekhodtsev, Dmitri; Verhaeghe, Charles

    2015-06-01

    One of the 10 key priorities of the new European Commission President Jean-Claude Juncker consists of 'reform(ing) and reorganis(ing) Europe's energy policy into a new European Energy Union'. The Energy Union work programme released on 25 February 2015 suggests that a new electricity market design is needed in order to tackle Europe's chosen policy objectives of de-carbonisation whilst maintaining security of supply. The current regulatory and market framework does not provide a sound basis for the investments needed to maintain security of supply and de-carbonise the power sector at an affordable cost. As policy priorities in favour of de-carbonisation and maintaining security of supply have taken centre stage on the policy agenda in the past decade, the design of liberalised electricity markets has failed to evolve and be reconciled with these new priorities. In addition, the issues of competitiveness and affordability of electricity in Europe remain central in the discussions about the market framework. The objective of this study is to assess the deficiencies and gaps in the current European Target Model and the wider regulatory framework for power generation and to propose a number of policy recommendations for improvement. Recognising the need for 'fresh thinking' on the issue, this study looks outside Europe to learn the lessons from experiences with a range of alternative market designs that exist around the globe. The study provides a comprehensive assessment of the issues with current European electricity markets. The study investigates the lessons from market reforms in North America and in Latin America in the past decade to identify 'out of the box' thinking to fill the gaps in the current European Target model. This report presents some of the research findings and concludes with a set of alternative potential directions for reform of European power markets models in the long term, as well as a number of

  10. Constructing regional advantage: platform policies based on related variety and differentiated knowledge bases.

    NARCIS (Netherlands)

    Asheim, B.T.; Boschma, R.A.; Cooke, P.

    2011-01-01

    Constructing regional advantage: platform policies based on related variety and differentiated knowledge bases, Regional Studies. This paper presents a regional innovation policy model based on the idea of constructing regional advantage. This policy model brings together concepts like related

  11. Development of a Recommender System based on Personal History

    Science.gov (United States)

    Tanaka, Katsuaki; Hori, Koichi; Yamamoto, Masato

    The flood of information on the Internet makes a person who surf it without some strong intention strayed into it. One of the ways to control the balance between a person and the flood is a recommender system by computer, and many web sites use it. These systems work on a web site for the same kind of items. However the field of personal activity is not limited to handle the same kind of thing and a web site, but also offline area in the real world. To handle personal offline activities, LifeLog is proposed as method to record it, but the main purpose of LifeLog is recording a personal history. How to use a history has still been studied stage. The authors have developed a recommender system that captures personal context from history of personal online and offline activities, treats information on web sites as a large set of context, and finds out and extends overlap of them, then recommends information located there. The aim of the system is that a person can enjoy waves of information again. The system worked as a part of My-life Assist Service. It was a service for mobile phones provided by NTT DoCoMo, Inc. as a field experiment from Dec. 2007 to Feb. 2008.

  12. Collaborating Filtering Community Image Recommendation System Based on Scene

    Directory of Open Access Journals (Sweden)

    He Tao

    2017-01-01

    Full Text Available With the advancement of smart city, the development of intelligent mobile terminal and wireless network, the traditional text information service no longer meet the needs of the community residents, community image service appeared as a new media service. “There are pictures of the truth” has become a community residents to understand and master the new dynamic community, image information service has become a new information service. However, there are two major problems in image information service. Firstly, the underlying eigenvalues extracted by current image feature extraction techniques are difficult for users to understand, and there is a semantic gap between the image content itself and the user’s understanding; secondly, in community life of the image data increasing quickly, it is difficult to find their own interested image data. Aiming at the two problems, this paper proposes a unified image semantic scene model to express the image content. On this basis, a collaborative filtering recommendation model of fusion scene semantics is proposed. In the recommendation model, a comprehensiveness and accuracy user interest model is proposed to improve the recommendation quality. The results of the present study have achieved good results in the pilot cities of Wenzhou and Yan'an, and it is applied normally.

  13. Daily internet time: towards an evidence-based recommendation?

    Science.gov (United States)

    Berchtold, André; Akre, Christina; Barrense-Dias, Yara; Zimmermann, Grégoire; Surís, Joan-Carles

    2018-04-17

    Since 2001, a recommendation of no more than 2 h per day of screen time for children 2 years of age or older was adopted in many countries. However, this recommendation was rarely examined empirically. The goal of the present study was to question this recommendation in today's connected world. We used data from the ado@internet.ch survey (spring 2012), a representative sample of 8th graders in the Canton of Vaud, Switzerland (n = 2942, 50.6% female). Internet use, health outcomes, substance use, well-being and socio-demographic characteristics were considered. Bi-variate statistical analyses were performed. All outcomes were significantly associated with the time spent on internet, more time being associated with a higher prevalence of adverse consequences. Youth spending on average one more hour on Internet per day than the reference category (1.5-2.5 h) did not differ in terms of adverse health outcomes. Differences began to appear on sleeping problems, tobacco use, alcohol misuse, cannabis use and sport inactivity with youth spending between 3.5 h and 4.5 h per day on internet. This study demonstrates the absence of justification for setting a limit to only 2 h of screen time per day. Significant effects on health seem to appear only beyond 4 h per day and there may be benefits for those who spend less than an hour and a half on internet.

  14. The Determinants of won/dollar Exchange Rate Volatility and Policy Recommendations

    Directory of Open Access Journals (Sweden)

    Chae-Shick Chung

    1998-09-01

    Full Text Available This thesis analyzed the feature and different points of the changing of the exchange rate of Korea won against US dollar, then discussed the direction of the completion of Korea exchange rate system. The prediction result of the model GARCH which vividly shows the phenomenon of the auto-regression of the exchange rate has indicated the level of the exchange rate yesterday could explain the circumstance of the change of exchange rate today. Meanwhile, the policy of the US exchange rate will affect the exchange rate of Korea won against US dollar and the volatility of foreign exchange rate. In the present situation of Korean economy in which the liberalization of capital and the independence of the central bank has been established, the choosing range of the exchange system could only be completely changeable exchange rate system or exchange rate system of multilateral arrangement like Europe. However, in terms of the condition of the world economy, the introduction of the latter system is too early. There is an idea that under the changeable exchange rate system which is the only choice, it is the right time to activate the main body of private economy, the financial derivatives market in which the exchange risk could be trade-off. Government should work on and create a policy that would be able to satisfy the expectations of the market participants.

  15. Contextual positive psychology: Policy recommendations for implementing positive psychology into schools.

    Directory of Open Access Journals (Sweden)

    Joseph Ciarrochi

    2016-10-01

    Full Text Available There has been a rapid growth in positive psychology, a research and intervention approach that focuses on promoting optimal functioning and well-being. Positive psychology interventions are now making their way into classrooms all over the world. However, positive psychology has been criticized for being decontextualized and coercive, and for putting an excessive emphasis on positive states, whilst failing to adequately consider negative experiences. Given this, how should policy be used to regulate and evaluate these interventions? We review evidence that suggests these criticisms may be valid, but only for those interventions that focus almost exclusively on changing the content of people’s inner experience (e.g., make it more positive and personality (improving character strength, and overemphasize the idea that inner experience causes action. We describe a contextualized form of positive psychology that not only deals with the criticisms, but also has clear policy implications for how to best implement and evaluate positive education programs so that they do not do more harm than good.

  16. Learning material recommendation based on case-based reasoning similarity scores

    Science.gov (United States)

    Masood, Mona; Mokmin, Nur Azlina Mohamed

    2017-10-01

    A personalized learning material recommendation is important in any Intelligent Tutoring System (ITS). Case-based Reasoning (CBR) is an Artificial Intelligent Algorithm that has been widely used in the development of ITS applications. This study has developed an ITS application that applied the CBR algorithm in the development process. The application has the ability to recommend the most suitable learning material to the specific student based on information in the student profile. In order to test the ability of the application in recommending learning material, two versions of the application were created. The first version displayed the most suitable learning material and the second version displayed the least preferable learning material. The results show the application has successfully assigned the students to the most suitable learning material.

  17. Low-Carbon City Policy Databook: 72 Policy Recommendations for Chinese Cities from the Benchmarking and Energy Savings Tool for Low Carbon Cities

    Energy Technology Data Exchange (ETDEWEB)

    Price, Lynn [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Energy Technologies Area. Energy Analysis and Environmental Impacts Division. China Energy Group; Zhou, Nan [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Energy Technologies Area. Energy Analysis and Environmental Impacts Division. China Energy Group; Fridley, David [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Energy Technologies Area. Energy Analysis and Environmental Impacts Division. China Energy Group; Ohshita, Stephanie [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Energy Technologies Area. Energy Analysis and Environmental Impacts Division. China Energy Group; Khanna, Nina [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Energy Technologies Area. Energy Analysis and Environmental Impacts Division. China Energy Group; Lu, Hongyou [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Energy Technologies Area. Energy Analysis and Environmental Impacts Division. China Energy Group; Hong, Lixuan [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Energy Technologies Area. Energy Analysis and Environmental Impacts Division. China Energy Group; He, Gang [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Energy Technologies Area. Energy Analysis and Environmental Impacts Division. China Energy Group; Romankiewicz, John [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Energy Technologies Area. Energy Analysis and Environmental Impacts Division. China Energy Group; Min, Hu [Energy Foundation China, Beijing (China)

    2016-07-01

    This report is designed to help city authorities evaluate and prioritize more than 70 different policy strategies that can reduce their city’s energy use and carbon-based greenhouse gas emissions of carbon dioxide (CO2) and methane (CH4). Local government officials, researchers, and planners can utilize the report to identify policies most relevant to local circumstances and to develop a low carbon city action plan that can be implemented in phases, over a multi-year timeframe. The policies cover nine city sectors: industry, public and commercial buildings, residential buildings, transportation, power and heat, street lighting, water & wastewater, solid waste, and urban green space. See Table 1 for a listing of the policies. Recognizing the prominence of urban industry in the energy and carbon inventories of Chinese cities, this report includes low carbon city policies for the industrial sector. The policies gathered here have proven effective in multiple locations around the world and have the potential to achieve future energy and carbon savings in Chinese cities.

  18. Improved Personalized Recommendation Based on Causal Association Rule and Collaborative Filtering

    Science.gov (United States)

    Lei, Wu; Qing, Fang; Zhou, Jin

    2016-01-01

    There are usually limited user evaluation of resources on a recommender system, which caused an extremely sparse user rating matrix, and this greatly reduce the accuracy of personalized recommendation, especially for new users or new items. This paper presents a recommendation method based on rating prediction using causal association rules.…

  19. Career Goal-Based E-Learning Recommendation Using Enhanced Collaborative Filtering and PrefixSpan

    Science.gov (United States)

    Ma, Xueying; Ye, Lu

    2018-01-01

    This article describes how e-learning recommender systems nowadays have applied different kinds of techniques to recommend personalized learning content for users based on their preference, goals, interests and background information. However, the cold-start problem which exists in traditional recommendation algorithms are still left over in…

  20. The Effect of Incorporating Good Learners' Ratings in e-Learning Content-Based Recommender System

    Science.gov (United States)

    Ghauth, Khairil Imran; Abdullah, Nor Aniza

    2011-01-01

    One of the anticipated challenges of today's e-learning is to solve the problem of recommending from a large number of learning materials. In this study, we introduce a novel architecture for an e-learning recommender system. More specifically, this paper comprises the following phases i) to propose an e-learning recommender system based on…

  1. Integrating policy-based management and SLA performance monitoring

    Science.gov (United States)

    Liu, Tzong-Jye; Lin, Chin-Yi; Chang, Shu-Hsin; Yen, Meng-Tzu

    2001-10-01

    Policy-based management system provides the configuration capability for the system administrators to focus on the requirements of customers. The service level agreement performance monitoring mechanism helps system administrators to verify the correctness of policies. However, it is difficult for a device to process the policies directly because the policies are the management concept. This paper proposes a mechanism to decompose a policy into rules that can be efficiently processed by a device. Thus, the device may process the rule and collect the performance statistics information efficiently; and the policy-based management system may collect these performance statistics information and report the service-level agreement performance monitoring information to the system administrator. The proposed policy-based management system achieves both the policy configuration and service-level agreement performance monitoring requirements. A policy consists of a condition part and an action part. The condition part is a Boolean expression of a source host IP group, a destination host IP group, etc. The action part is the parameters of services. We say that an address group is compact if it only consists of a range of IP address that can be denoted by a pair of IP address and corresponding IP mask. If the condition part of a policy only consists of the compact address group, we say that the policy is a rule. Since a device can efficiently process a compact address and a system administrator prefers to define a range of IP address, the policy-based management system has to translate policy into rules and supplements the gaps between policy and rules. The proposed policy-based management system builds the relationships between VPN and policies, policy and rules. Since the system administrator wants to monitor the system performance information of VPNs and policies, the proposed policy-based management system downloads the relationships among VPNs, policies and rules to the

  2. Health issues and the practicing radiologist: defining concepts and developing recommendations for leave options and policies.

    Science.gov (United States)

    Heilbrun, Marta E; Bender, Claire E; Truong, Hang B; Bluth, Edward I

    2013-09-01

    Radiologists today are faced with the challenges of maintaining and balancing individual and family health needs and the demands of the workplace. To provide the highest quality and safest care of our patients, a corresponding ethos of support for a healthy workforce is required. There is a paucity of targeted information describing protections for and maintenance of the health of the practicing radiologist, in both private and academic settings. However, a review of existing family and medical leave policies may be helpful to practice leaders and practicing radiologists as a platform for the development of strategic workforce plans. This writing, by members of the ACR Commission on Human Resources, addresses the following areas: (1) medical leave, (2) maternity and/or paternity leave, and (3) disability. Copyright © 2013 American College of Radiology. Published by Elsevier Inc. All rights reserved.

  3. Recommendations for Adopting the International Code of Marketing of Breast-milk Substitutes Into U.S. Policy.

    Science.gov (United States)

    Soldavini, Jessica; Taillie, Lindsey Smith

    2017-08-01

    In 1981, the World Health Organization adopted the International Code of Marketing of Breast-milk Substitutes ( International Code), with subsequent resolutions adopted since then. The International Code contributes to the safe and adequate provision of nutrition for infants by protecting and promoting breastfeeding and ensuring that human milk substitutes, when necessary, are used properly through adequate information and appropriate marketing and distribution. Despite the World Health Organization recommendations for all member nations to implement the International Code in its entirety, the United States has yet to take action to translate it into any national measures. In 2012, only 22.3% of infants in the United States met the American Academy of Pediatrics recommendation of at least 6 months of exclusive breastfeeding. Countries adopting legislation reflecting the provisions of the International Code have seen increases in breastfeeding rates. This article discusses recommendations for translating the International Code into U.S. policy. Adopting legislation that implements, monitors, and enforces the International Code in its entirety has the potential to contribute to increased rates of breastfeeding in the United States, which can lead to improved health outcomes in both infants and breastfeeding mothers.

  4. Music recommendation according to human motion based on kernel CCA-based relationship

    Science.gov (United States)

    Ohkushi, Hiroyuki; Ogawa, Takahiro; Haseyama, Miki

    2011-12-01

    In this article, a method for recommendation of music pieces according to human motions based on their kernel canonical correlation analysis (CCA)-based relationship is proposed. In order to perform the recommendation between different types of multimedia data, i.e., recommendation of music pieces from human motions, the proposed method tries to estimate their relationship. Specifically, the correlation based on kernel CCA is calculated as the relationship in our method. Since human motions and music pieces have various time lengths, it is necessary to calculate the correlation between time series having different lengths. Therefore, new kernel functions for human motions and music pieces, which can provide similarities between data that have different time lengths, are introduced into the calculation of the kernel CCA-based correlation. This approach effectively provides a solution to the conventional problem of not being able to calculate the correlation from multimedia data that have various time lengths. Therefore, the proposed method can perform accurate recommendation of best matched music pieces according to a target human motion from the obtained correlation. Experimental results are shown to verify the performance of the proposed method.

  5. Professional Veterinary Programs' Perceptions and Experiences Pertaining to Emotional Support Animals and Service Animals, and Recommendations for Policy Development.

    Science.gov (United States)

    Schoenfeld-Tacher, Regina M; Kogan, Lori R

    Given the unique nature of programs in professional veterinary medicine (PVM), the increasing numbers of students requesting accommodations for emotional support animals (ESAs) in higher education settings is of growing interest to student affairs and administrative staff in PVM settings. Since the legislation pertaining to this type of support animal differs from the laws governing disability service animals, colleges and universities now need to develop new policies and guidelines. Representatives from a sample of 28 PVM programs completed a survey about the prevalence of student requests for ESAs and service animals. PVM associate deans for academic affairs also reported their perceptions of this issue and the challenges these requests might pose within veterinary teaching laboratories and patient treatment areas. Responses indicated that approximately one third of PVM programs have received requests for ESAs (32.1%) in the last 2 years, 17.9% have had requests for psychiatric service animals, and 17.9% for other types of service animals. Despite this, most associate deans reported not having or not being aware of university or college policies pertaining to these issues. Most associate deans are interested in learning more about this topic. This paper provides general recommendations for establishing university or PVM program policies.

  6. Metamodels for Computer-Based Engineering Design: Survey and Recommendations

    Science.gov (United States)

    Simpson, Timothy W.; Peplinski, Jesse; Koch, Patrick N.; Allen, Janet K.

    1997-01-01

    The use of statistical techniques to build approximations of expensive computer analysis codes pervades much of todays engineering design. These statistical approximations, or metamodels, are used to replace the actual expensive computer analyses, facilitating multidisciplinary, multiobjective optimization and concept exploration. In this paper we review several of these techniques including design of experiments, response surface methodology, Taguchi methods, neural networks, inductive learning, and kriging. We survey their existing application in engineering design and then address the dangers of applying traditional statistical techniques to approximate deterministic computer analysis codes. We conclude with recommendations for the appropriate use of statistical approximation techniques in given situations and how common pitfalls can be avoided.

  7. Layout Study and Application of Mobile App Recommendation Approach Based On Spark Streaming Framework

    Science.gov (United States)

    Wang, H. T.; Chen, T. T.; Yan, C.; Pan, H.

    2018-05-01

    For App recommended areas of mobile phone software, made while using conduct App application recommended combined weighted Slope One algorithm collaborative filtering algorithm items based on further improvement of the traditional collaborative filtering algorithm in cold start, data matrix sparseness and other issues, will recommend Spark stasis parallel algorithm platform, the introduction of real-time streaming streaming real-time computing framework to improve real-time software applications recommended.

  8. A Study of Scenic Spot Living Facility Recommendation Based on Collaborative Filtering

    Directory of Open Access Journals (Sweden)

    Luo Wenbiao

    2015-01-01

    Full Text Available For the collection of massive complex information, the collaborative filtering system can work as a highly efficient information screening tool. It can recommend reasonable information reserve with multi angles according to the living service facility information of the scenic spots. The collaborative filtering system can collect information and forecast rating results based on users’ preference. According to different recommendation goals, the collaborative filtering system can recommend results for user feedback and give feedback of the recommendation results in various forms.

  9. Auction and Game Theory Based Recommendations for DOD Acquisitions

    Science.gov (United States)

    2015-03-24

    exchange—the future of B2B . Harvard Business Review, 78(6), 86. Acquisition Research Program Graduate School of Business & Public Policy - 29 - Naval...mechanism: To illustrate the VCG mechanism, suppose that there are two items for sale (A and B) and two bidders. Each bidder n = 1,2 submits bids: vˆn...Bidder A’s perspective. The demands of all bidders other than Bidder A (i.e., 1 + 2 + 1 + 0) total only 4, while 5 licenses are available for sale

  10. Exercise for prevention of cardiovascular disease: Evidence-based recommendations

    Directory of Open Access Journals (Sweden)

    Geevar Zachariah

    2017-01-01

    Full Text Available Sedentary lifestyle is one of the major risk factors for cardiovascular disease (CVD. In India, a large percentage of the people are physically inactive with fewer than 10% engaging in recreational physical activity. Physical activity has many beneficial effects on the risk factors for CVD. Apart from improving fitness level, it decreases myocardial oxygen demand and improves myocardial perfusion. There is an inverse association between physical activity and all-cause mortality. In primary prevention, physical inactivity is associated with a two-fold increase in the risk for coronary events. In secondary prevention, data confirm the existence of an inverse dose–response relationship between cardiovascular fitness and the all-cause mortality in large populations of cardiovascular patients. Guidelines from the American authorities as well as the European Society of Cardiology provide specific recommendations for exercise depending on the clinical setting (primary or secondary prevention of CVD and the patient-specific factors (the patient's physical activity level and the perceived CVD risk. The present review summarizes the clinical evidence regarding the role of exercise in CVD prevention and the exercise recommendations from the leading Cardiac societies.

  11. A Collaborative Location Based Travel Recommendation System through Enhanced Rating Prediction for the Group of Users

    Directory of Open Access Journals (Sweden)

    Logesh Ravi

    2016-01-01

    Full Text Available Rapid growth of web and its applications has created a colossal importance for recommender systems. Being applied in various domains, recommender systems were designed to generate suggestions such as items or services based on user interests. Basically, recommender systems experience many issues which reflects dwindled effectiveness. Integrating powerful data management techniques to recommender systems can address such issues and the recommendations quality can be increased significantly. Recent research on recommender systems reveals an idea of utilizing social network data to enhance traditional recommender system with better prediction and improved accuracy. This paper expresses views on social network data based recommender systems by considering usage of various recommendation algorithms, functionalities of systems, different types of interfaces, filtering techniques, and artificial intelligence techniques. After examining the depths of objectives, methodologies, and data sources of the existing models, the paper helps anyone interested in the development of travel recommendation systems and facilitates future research direction. We have also proposed a location recommendation system based on social pertinent trust walker (SPTW and compared the results with the existing baseline random walk models. Later, we have enhanced the SPTW model for group of users recommendations. The results obtained from the experiments have been presented.

  12. A Collaborative Location Based Travel Recommendation System through Enhanced Rating Prediction for the Group of Users

    Science.gov (United States)

    Ravi, Logesh; Vairavasundaram, Subramaniyaswamy

    2016-01-01

    Rapid growth of web and its applications has created a colossal importance for recommender systems. Being applied in various domains, recommender systems were designed to generate suggestions such as items or services based on user interests. Basically, recommender systems experience many issues which reflects dwindled effectiveness. Integrating powerful data management techniques to recommender systems can address such issues and the recommendations quality can be increased significantly. Recent research on recommender systems reveals an idea of utilizing social network data to enhance traditional recommender system with better prediction and improved accuracy. This paper expresses views on social network data based recommender systems by considering usage of various recommendation algorithms, functionalities of systems, different types of interfaces, filtering techniques, and artificial intelligence techniques. After examining the depths of objectives, methodologies, and data sources of the existing models, the paper helps anyone interested in the development of travel recommendation systems and facilitates future research direction. We have also proposed a location recommendation system based on social pertinent trust walker (SPTW) and compared the results with the existing baseline random walk models. Later, we have enhanced the SPTW model for group of users recommendations. The results obtained from the experiments have been presented. PMID:27069468

  13. A Collaborative Location Based Travel Recommendation System through Enhanced Rating Prediction for the Group of Users.

    Science.gov (United States)

    Ravi, Logesh; Vairavasundaram, Subramaniyaswamy

    2016-01-01

    Rapid growth of web and its applications has created a colossal importance for recommender systems. Being applied in various domains, recommender systems were designed to generate suggestions such as items or services based on user interests. Basically, recommender systems experience many issues which reflects dwindled effectiveness. Integrating powerful data management techniques to recommender systems can address such issues and the recommendations quality can be increased significantly. Recent research on recommender systems reveals an idea of utilizing social network data to enhance traditional recommender system with better prediction and improved accuracy. This paper expresses views on social network data based recommender systems by considering usage of various recommendation algorithms, functionalities of systems, different types of interfaces, filtering techniques, and artificial intelligence techniques. After examining the depths of objectives, methodologies, and data sources of the existing models, the paper helps anyone interested in the development of travel recommendation systems and facilitates future research direction. We have also proposed a location recommendation system based on social pertinent trust walker (SPTW) and compared the results with the existing baseline random walk models. Later, we have enhanced the SPTW model for group of users recommendations. The results obtained from the experiments have been presented.

  14. The level of perceived quality and safety of health services by recipients. Recommendations and inter- ventions for health care policies

    Directory of Open Access Journals (Sweden)

    Foteini Koulouri

    2017-06-01

    Full Text Available In recent years, the importance of the quality in health sector is more and more acknowledged. In broader terms the literature on quality in health care contributed to this, and stressed the importance of meeting the needs of the service recipient. Safety and quality in health care constitute a multi-dimensional parameter and involve many factors and various resources. Safety is positively associated to the quality, as the existence of the one ensures the improvement of the other. Thus, there is a great effort to create a framework, through guidelines and instructions that could contribute to the protection and development of quality and safety. It is important that this framework includes many features that have been expressed as requests by the patients themselves and which can contribute to the development of realistic and effective recommendations for improvement. Greek reality reveals certain gaps in safety and quality of services delivered, so the main attention has to be focused on developing an integral national health policy; the development of guidelines and the appropriate evaluation of their implementation could be a first effective approach. Formulating an institutional framework about safety and quality in health sector should be incorporated in the culture of all health organizations. To this end, the involvement of health professionals is a vital and strategic point. Health care practitioners should incorporate safety and quality culture in their daily routine and health managers should enact efficient ways of evaluation and control mechanisms in order to achieve better outcomes. Motivation to this direction and active participation should be encouraged with positive approaches, away from any kind of sanction. Any mistakes, adverse effects and deviations should be identified, reported, analyzed and formulate the base of the corrective action. In conclusion, safety and quality in health sector are essential and strongly associated

  15. Contraceptive practices in Nigeria: Literature review and recommendation for future policy decisions

    Directory of Open Access Journals (Sweden)

    Emmanuel Monjok

    2010-05-01

    Full Text Available Emmanuel Monjok1, Andrea Smesny1, John E Ekabua2, E James Essien11Institute of Community Health, University of Houston, Texas, USA; 2Department of Obstetrics and Gynecology, University of Calabar, NigeriaAbstract: The current prevalence rate for contraceptive use in Nigeria is approximately 11%–13%. This rate is very low in spite of the high rate of sexual activity and widespread awareness of the various contraceptive methods among Nigerian adolescence and youths. As a result there are many unintended pregnancies and illegal abortions contributing to a high maternal mortality ratio, which seems to indicate a large unmet need for contraceptive use. There is ample research evidence identifying the various factors that contribute to the low prevalence of modern contraceptive use in Nigeria, with the most common factor being the myth about the side effects of modern contraceptives. However, what is lacking is a political will in Nigeria to provide family planning programs on a much larger scale, using community-oriented approaches and communication programs, to help change the myth about the side effects of modern contraceptives. This review highlights current methods and concepts in contraception, reasons for low contraceptive use and practice in Nigeria, and the need for Nigeria to generate a political priority and a will to make a change in maternal health indicators, with the ultimate goal of providing direction to guide changes in the Nigerian Population Policy as it affects contraceptive use and family planning.Keywords: contraceptive practice, literature review, research, Nigeria

  16. EFL Speaking Anxiety among Senior High School Students and Policy Recommendations

    Directory of Open Access Journals (Sweden)

    Amirul Mukminin

    2015-08-01

    Full Text Available This report drew on a larger study which was to describe and understand the sources of senior high school students’ English language speaking anxiety at senior high schools in Jambi, Indonesia. The purpose of this paper was to report some of findings from the qualitative interview data on the sources of senior high school students’ English language speaking anxiety at one senior high school in Jambi, Indonesia. Data were collected through demographic profiles and semi-structured interview with senior high school students. The demographic data were analysed descriptively while the interview data were transcribed and analysed line by line to generate and develop codes and themes. An analysis of the interview data revealed that five major themes were related to students’ English language speaking anxiety, including (1 low speaking skill due to lack of vocabulary and grammar, (2 fear of negative responses from others, (3 low self-esteem to speak in English, (4 fear of being evaluated by teachers, and (5 cultural influences to speak English due to a more teacher-centred style. Suggestions and policy implications are also discussed.

  17. Policies to Avoid Cost Overruns in Infrastructure Projects: Critical Evaluation and Recommendations

    Directory of Open Access Journals (Sweden)

    Hans Lind

    2014-09-01

    Full Text Available Many infrastructure projects have cost overruns and there has been a lot of research both on why these cost overruns occur and what can be done to reduce hem. Bent Flyvbjerg is the leading researcher in the area and in this article his proposals are used as the starting point. Besides a literature review, a questionnaire was sent out to experienced Swedish project managers to find out what they thought could reduce cost overruns. The literature review and the questionnaire were the foundation for the proposals formulated in this article. Proposals concerned three areas: (1. Organisational macro-structure, e.g. using more PPP projects but also decentralisation of budgets where cost overruns in one project in a region lead to less alternative projects in the specific region. (2. Organisational quality: It should be easy to see when and where cost overruns occur and who was responsible. There should be a well-developed knowledge management system in the organisation and an organisation culture of openness with a focus on improvements. (3. Organisational processes, e.g. a systematic use of external reviewers in different stages of a project.   Keywords: Cost overruns, Infrastructure projects, Policy measures

  18. Policy Recommendation from Stakeholders to Improve Forest Products Transportation: A Qualitative Study

    Directory of Open Access Journals (Sweden)

    Anil Koirala

    2017-11-01

    Full Text Available With recently announced federal funding and subsidies to redevelop vacant mills and the communities they were in, the forest products industry in Maine is poised to gain its momentum once again. One of the important components influencing the cost of delivered forest products is transportation. A recent study in the region has shown that the location and availability of markets along with lack of skilled labor force are the major challenges faced by the forest products transportation sector in Maine. This study was focused on developing a management guideline which included various field level options for improving trucking enterprises in Maine. For this, a qualitative research approach utilizing a case study research tradition was employed, with in-depth semi-structured interviews with professionals directly related to the forest products transportation sector used for data generation. Thirteen semi-structured interviews were conducted, with each being audio recorded and later transcribed verbatim. Interview transcriptions were analyzed using NVivo 11. Suggestions, like increasing benefits to drivers and providing training, were proposed for challenges related to manpower shortage, while the marketing of new forest products and adjustment in some state-level policies were proposed for challenges related to the forest products market condition of the state.

  19. Enhancing content-based recommendation with the task model of classication

    NARCIS (Netherlands)

    Wang, Y.; Wang, S.; Stash, N.; Aroyo, L.M.; Schreiber, A.Th.; Cimiano, P.; Pinto, H.S.

    2010-01-01

    In this paper, we define reusable inference steps for content-based recommender systems based on semantically-enriched collections. We show an instantiation in the case of recommending artworks and concepts based on a museum domain ontology and a user profile consisting of rated artworks and rated

  20. Family/children cash benefits in Serbia: The analysis and policy recommendations

    Directory of Open Access Journals (Sweden)

    Matković Gordana

    2014-01-01

    Full Text Available Around 400 thousand children in Serbia are covered with cash-benefits targeting poor children representing 31.7% of the total number of children in 2011. Additionally, around 60 thousand families receive birth grants that is more than 90% of the newly born. When it comes to child-birth related leaves, there were around 37 thousand beneficiaries in 2012. This means that around 50% of the newly born children’s parents are covered with maternity/parental leave, while the coverage of employed mothers is almost full. Coverage of the poor children, particularly by the financial social assistance (FSA, can be considered inadequate. When it comes to targeting (vertical efficiency, FSA is targeted quite well, while there is scope for improvement of the inclusion error within the child-allowance program. When the adequacy of cash benefits targeting poor children is analyzed from the perspective of meeting the basic needs, then the amount is at the verge of being acceptable and differs for different kinds of families - single parent and families with very young children (0-2 being better off. However, when compared to the minimum wage, the cumulative amount of FSA and child allowance is lower only for one- child families. Total expenditures for cash-benefits connected to children amount to 1.4%of GDP - 1.21% being related to ESSPROS family/children function and 0.18% for the FSA for families with children. When compared to the EU, the total expenditure is below the EU average, with the birth related expenditures being higher and child allowance lower than the EU average. The first group of recommendations for cash benefits aimed at families with children relate to the improvement of adequacy and coverage of benefits aiming at poverty reduction, while respecting budget constraints. The increase of benefits for children above 14 years old - increase of child allowance or/and assigning higher weights (0.5 instead of 0.3 for the FSA’s equivalence scale

  1. Passenger transport in Nigeria: Environmental and economic analysis with policy recommendations

    International Nuclear Information System (INIS)

    Gujba, H.; Mulugetta, Y.; Azapagic, A.

    2013-01-01

    This paper presents the life cycle environmental impacts and economic costs of the passenger transport sector in Nigeria for 2003–2030. Four scenarios are considered: business as usual (BAU); increased use of public transport (buses) at the expense of cars (LOWCAR) and motorcycles (LOWMC), respectively; and high economic growth with increased car ownership and decline of public transport (HICAR). The findings show that for the BAU scenario the life cycle environmental impacts double over the period, despite the assumption of increased fuel and vehicle efficiency of 35% over time. The total fuel costs at the sectoral level increase three times, from US$3.4 billion/yr in 2003 to US$9.7 billion in 2030. Increasing the use of buses would reduce the environmental impacts on average by 15–20% compared to BAU; at the same time, the total fuel costs would be 25–30% lower. If the use of cars grows much faster due to a high economic growth as in HICAR, the environmental impacts and fuel costs would increase by 16% and 26%, respectively. These results demonstrate clearly that future transport policy in Nigeria should promote and incentivise public (bus) transport as a much more environmentally and economically sustainable option than transport by cars and motorcycles. - Highlights: ► The life cycle environmental impacts of passenger transport in Nigeria estimated for 2003–2030. ► The tradeoffs between economic costs and environmental impacts discussed. ► Scenarios considered: business as usual; sustainable transport; high economic growth. ► Public transport is more sustainable than transport by cars and motorcycles. ► Ending gas flaring would improve substantially environmental, economic and social impacts

  2. Report on RecSys 2016 Workshop on New Trends in Content-Based Recommender Systems

    DEFF Research Database (Denmark)

    Bogers, Toine; Koolen, Marijn; Musto, Cataldo

    2017-01-01

    This article reports on the CBRecSys 2016 workshop, the third edition of the workshop on New Trends in Content-based Recommender Systems, co-located with RecSys 2016 in Boston, MA. Content-based recommendation has been applied successfully in many different domains, but it has not seen the same...... for work dedicated to all aspects of content-based recommender systems....... level of attention as collaborative filtering techniques have. Nevertheless, there are many recommendation domains and applications where content and metadata play a key role, either in addition to or instead of ratings and implicit usage data. The CBRecSys workshop series provides a dedicated venue...

  3. Social and Behavioral Aspects of a Tag-Based Recommender System

    DEFF Research Database (Denmark)

    Durao, Frederico; Dolog, Peter

    2009-01-01

    Collaborative tagging has emerged as a useful means to organize and share resources on the Web. Recommender systems have been utilized tags for identifying similar resources and generate personalized recommendations. In this paper, we analyze social and behavioral aspects of a tag-based recommender...... system which suggests similar Web pages based on the similarity of their tags. Tagging behavior and language anomalies in tagging activities are some aspects examined from an experiment involving 38 people from 12 countries....

  4. An evidence-based recommendation on bed head elevation for mechanically ventilated patients

    OpenAIRE

    Ni?l-Weise, Barbara S; Gastmeier, Petra; Kola, Axel; Vonberg, Ralf P; Wille, Jan C; van den Broek, Peterhans J

    2011-01-01

    Introduction A semi-upright position in ventilated patients is recommended to prevent ventilator-associated pneumonia (VAP) and is one of the components in the Ventilator Bundle of the Institute for Health Care Improvement. This recommendation, however, is not an evidence-based one. Methods A systematic review on the benefits and disadvantages of semi-upright position in ventilated patients was done according to PRISMA guidelines. Then a European expert panel developed a recommendation based ...

  5. Enhancing Evidence-Based Public Health Policy: Developing and Using Policy Narratives.

    Science.gov (United States)

    Troy, Lisa M; Kietzman, Kathryn G

    2016-06-01

    Academic researchers and clinicians have a critical role in shaping public policies to improve the health of an aging America. Policy narratives that pair personal stories with research statistics are a powerful tool to share knowledge generated in academic and clinical settings with policymakers. Effective policy narratives rely on a trustworthy and competent narrator and a compelling story that highlights the personal impact of policies under consideration and academic research that bolsters the story. Awareness of the cultural differences in the motivations, expectations, and institutional constraints of academic researchers and clinicians as information producers and U.S. Congress and federal agencies as information users is critical to the development of policy narratives that impact policy decisions. The current article describes the development and use of policy narratives to bridge cultures and enhance evidence-based public health policies that better meet the needs of older adults. [Journal of Gerontological Nursing, 42(6), 11-17.]. Copyright 2016, SLACK Incorporated.

  6. Preschool Adequacy and Efficiency in California. Issues, Policy Options, and Recommendations

    Science.gov (United States)

    2009-01-01

    the classroom environment that focus on emotional support, classroom management, and student engagement . The high rate overall of participation in...Organization, and Student Engagement domains of the CLASS, all of which were close to or exceeded an average score of 5 for all children in center-based

  7. A Novel Mobile Personalized Recommended Method Based on Money Flow Model for Stock Exchange

    Directory of Open Access Journals (Sweden)

    Qingzhen Xu

    2014-01-01

    Full Text Available Personalized recommended method is widely used to recommend commodities for target customers in e-commerce sector. The core idea of merchandise personalized recommendation can be applied to financial field, which can also achieve stock personalized recommendation. This paper proposes a new recommended method using collaborative filtering based on user fuzzy clustering and predicts the trend of those stocks based on money flow. We use M/G/1 queue system with multiple vacations and server close-down time to measure practical money flow. Based on the indicated results of money flow, we can select the more valued stock to recommend to investors. The experimental results show that the proposed method provides investors with reliable practical investment guidance and receiving more returns.

  8. A Personalized Recommendation-Based Mobile Learning Approach to Improving the Reading Performance of EFL Students

    Science.gov (United States)

    Hsu, Ching-Kun; Hwang, Gwo-Jen; Chang, Chih-Kai

    2013-01-01

    In this paper, a personalized recommendation-based mobile language learning approach is proposed. A mobile learning system has been developed based on the approach by providing a reading material recommendation mechanism for guiding EFL (English as Foreign Language) students to read articles that match their preferences and knowledge levels, and a…

  9. A Scalable Policy and SNMP Based Network Management Framework

    Institute of Scientific and Technical Information of China (English)

    LIU Su-ping; DING Yong-sheng

    2009-01-01

    Traditional SNMP-based network management can not deal with the task of managing large-scaled distributed network,while policy-based management is one of the effective solutions in network and distributed systems management. However,cross-vendor hardware compatibility is one of the limitations in policy-based management. Devices existing in current network mostly support SNMP rather than Common Open Policy Service (COPS) protocol. By analyzing traditional network management and policy-based network management, a scalable network management framework is proposed. It is combined with Internet Engineering Task Force (IETF) framework for policybased management and SNMP-based network management. By interpreting and translating policy decision to SNMP message,policy can be executed in traditional SNMP-based device.

  10. Structuring AHP-based maintenance policy selection

    NARCIS (Netherlands)

    Goossens, Adriaan; Basten, Robertus Johannes Ida; Hummel, J. Marjan; van der Wegen, Leonardus L.M.

    2015-01-01

    We aim to structure the maintenance policy selection process for ships, using the Analytic Hierarchy Process (AHP). Maintenance is an important contributor to reach the intended life-time of capital technical assets, and it is gaining increasing interest and relevance. A maintenance policy is a

  11. Alternative fuel buses currently in use in China: Life-cycle fossil energy use, GHG emissions and policy recommendations

    International Nuclear Information System (INIS)

    Ou Xunmin; Zhang Xiliang; Chang Shiyan

    2010-01-01

    The Chinese government has enacted policies to promote alternative vehicle fuels (AVFs) and alternative fuel vehicles (AFVs), including city bus fleets. The life cycle (LC), energy savings (ES) and GHG reduction (GR) profiles of AVFs/AFVs are critical to those policy decisions. The well-to-wheels module of the Tsinghua-CA3EM model is employed to investigate actual performance data. Compared with conventional buses, AFVs offer differences in performance in terms of both ES and GR. Only half of the AFVs analyzed demonstrate dual benefits. However, all non-oil/gas pathways can substitute oil/gas with coal. Current policies seek to promote technology improvements and market creation initiatives within the guiding framework of national-level diversification and district-level uniformity. Combined with their actual LC behavior and in keeping with near- and long-term strategies, integrated policies should seek to (1) apply hybrid electric technology to diesel buses; (2) encourage NG/LPG buses in gas-abundant cities; (3) promote commercialize electric buses or plug-in capable vehicles through battery technology innovation; (4) support fuel cell buses and hydrogen technology R and D for future potential applications; and (5) conduct further research on boosting vehicle fuel efficiency, applying low-carbon transportation technologies, and addressing all resultant implications of coal-based transportation solutions to human health and natural resources.

  12. Alternative fuel buses currently in use in China: Life-cycle fossil energy use, GHG emissions and policy recommendations

    Energy Technology Data Exchange (ETDEWEB)

    Ou Xunmin, E-mail: oxm07@mails.tsinghua.edu.c [School of Public Policy and Management (SPPM), Tsinghua University, Beijing 100084 (China); China Automotive Energy Research Center (CAERC), Tsinghua University, Beijing 100084 (China); Institute of Energy, Environment and Economy (3E), Tsinghua University, Beijing 100084 (China); Zhang Xiliang, E-mail: zhang_xl@tsinghua.edu.c [China Automotive Energy Research Center (CAERC), Tsinghua University, Beijing 100084 (China); Institute of Energy, Environment and Economy (3E), Tsinghua University, Beijing 100084 (China); Chang Shiyan [China Automotive Energy Research Center (CAERC), Tsinghua University, Beijing 100084 (China); Institute of Energy, Environment and Economy (3E), Tsinghua University, Beijing 100084 (China)

    2010-01-15

    The Chinese government has enacted policies to promote alternative vehicle fuels (AVFs) and alternative fuel vehicles (AFVs), including city bus fleets. The life cycle (LC), energy savings (ES) and GHG reduction (GR) profiles of AVFs/AFVs are critical to those policy decisions. The well-to-wheels module of the Tsinghua-CA3EM model is employed to investigate actual performance data. Compared with conventional buses, AFVs offer differences in performance in terms of both ES and GR. Only half of the AFVs analyzed demonstrate dual benefits. However, all non-oil/gas pathways can substitute oil/gas with coal. Current policies seek to promote technology improvements and market creation initiatives within the guiding framework of national-level diversification and district-level uniformity. Combined with their actual LC behavior and in keeping with near- and long-term strategies, integrated policies should seek to (1) apply hybrid electric technology to diesel buses; (2) encourage NG/LPG buses in gas-abundant cities; (3) promote commercialize electric buses or plug-in capable vehicles through battery technology innovation; (4) support fuel cell buses and hydrogen technology R and D for future potential applications; and (5) conduct further research on boosting vehicle fuel efficiency, applying low-carbon transportation technologies, and addressing all resultant implications of coal-based transportation solutions to human health and natural resources.

  13. Alternative fuel buses currently in use in China. Life-cycle fossil energy use, GHG emissions and policy recommendations

    Energy Technology Data Exchange (ETDEWEB)

    Ou, Xunmin [School of Public Policy and Management (SPPM), Tsinghua University, Beijing 100084 (China); China Automotive Energy Research Center (CAERC), Tsinghua University, Beijing 100084 (China); Institute of Energy, Environment and Economy (3E), Tsinghua University, Beijing 100084 (China); Zhang, Xiliang; Chang, Shiyan [China Automotive Energy Research Center (CAERC), Tsinghua University, Beijing 100084 (China); Institute of Energy, Environment and Economy (3E), Tsinghua University, Beijing 100084 (China)

    2010-01-15

    The Chinese government has enacted policies to promote alternative vehicle fuels (AVFs) and alternative fuel vehicles (AFVs), including city bus fleets. The life cycle (LC), energy savings (ES) and GHG reduction (GR) profiles of AVFs/AFVs are critical to those policy decisions. The well-to-wheels module of the Tsinghua-CA3EM model is employed to investigate actual performance data. Compared with conventional buses, AFVs offer differences in performance in terms of both ES and GR. Only half of the AFVs analyzed demonstrate dual benefits. However, all non-oil/gas pathways can substitute oil/gas with coal. Current policies seek to promote technology improvements and market creation initiatives within the guiding framework of national-level diversification and district-level uniformity. Combined with their actual LC behavior and in keeping with near- and long-term strategies, integrated policies should seek to (1) apply hybrid electric technology to diesel buses; (2) encourage NG/LPG buses in gas-abundant cities; (3) promote commercialize electric buses or plug-in capable vehicles through battery technology innovation; (4) support fuel cell buses and hydrogen technology R and D for future potential applications; and (5) conduct further research on boosting vehicle fuel efficiency, applying low-carbon transportation technologies, and addressing all resultant implications of coal-based transportation solutions to human health and natural resources. (author)

  14. Practice-based Research Network Research Good Practices (PRGPs): Summary of Recommendations.

    Science.gov (United States)

    Dolor, Rowena J; Campbell-Voytal, Kimberly; Daly, Jeanette; Nagykaldi, Zsolt J; O'Beirne, Maeve; Sterling, Pamela; Fagnan, Lyle J; Levy, Barcey; Michaels, LeAnn; Louks, Hannah A; Smith, Paul; Aspy, Cheryl B; Patterson, V Beth; Kano, Miria; Sussman, Andrew L; Williams, Robert; Neale, Anne Victoria

    2015-12-01

    Practice-based research networks (PBRNs) conduct research in community settings, which poses quality control challenges to the integrity of research, such as study implementation and data collection. A foundation for improving research processes within PBRNs is needed to ensure research integrity. Network directors and coordinators from seven U.S.-based PBRNs worked with a professional team facilitator during semiannual in-person meetings and monthly conference calls to produce content for a compendium of recommended research practices specific to the context of PBRNs. Participants were assigned to contribute content congruent with their expertise. Feedback on the draft document was obtained from attendees at the preconference workshop at the annual PBRN meeting in 2013. A revised document was circulated to additional PBRN peers prior to finalization. The PBRN Research Good Practices (PRGPs) document is organized into four chapters: (1) Building PBRN Infrastructure; (2) Study Development and Implementation; (3) Data Management, and (4) Dissemination Policies. Each chapter contains an introduction, detailed procedures for each section, and example resources with information links. The PRGPs is a PBRN-specific resource to facilitate PBRN management and staff training, to promote adherence to study protocols, and to increase validity and generalizability of study findings. © 2015 Wiley Periodicals, Inc.

  15. Conducting Clinically Based Intimate Partner Violence Research: Safety Protocol Recommendations.

    Science.gov (United States)

    Anderson, Jocelyn C; Glass, Nancy E; Campbell, Jacquelyn C

    Maintaining safety is of utmost importance during research involving participants who have experienced intimate partner violence (IPV). Limited guidance on safety protocols to protect participants is available, particularly information related to technology-based approaches to informed consent, data collection, and contacting participants during the course of a study. The purpose of the article is to provide details on the safety protocol developed and utilized with women receiving care at an urban HIV clinic and who were taking part in an observational study of IPV, mental health symptoms, and substance abuse and their relationship to HIV treatment adherence. The protocol presents the technological strategies to promote safety and allow autonomy in participant decision-making throughout the research process, including Voice over Internet Protocol telephone numbers, and tablet-based eligibility screening and data collection. Protocols for management of participants at risk for suicide and/or intimate partner homicide that included automated high-risk messaging to participants and research staff and facilitated disclosure of risk to clinical staff based on participant preferences are discussed. Use of technology and partnership with clinic staff helped to provide an environment where research regarding IPV could be conducted without undue burden or risk to participants. Utilizing tablet-based survey administration provided multiple practical and safety benefits for participants. Most women who screened into high-risk categories for suicide or intimate partner homicide did not choose to have their results shared with their healthcare providers, indicating the importance of allowing participants control over information sharing whenever possible.

  16. Increasing Glencore's sustainable management performance: recommendation and risks, statements based on literature and best practices

    OpenAIRE

    Gottschall, Arnaud; Maeder, Eric

    2014-01-01

    The main purpose of this report is to provide Glencore with applicable recommendations so that it can improve its sustainable reputation. The second purpose of the work is to present all risks incurred by Glencore’s non-application of sustainable recommendations. Recommendations and risks have been developed based on literature, interviews and companies’ good practices. Sustainability reports of mining companies publicly quoted have been intensively used to grasp the different sustainability ...

  17. Evaluation of Item-Based Top-N Recommendation Algorithms

    Science.gov (United States)

    2000-09-15

    Furthermore, one of the advantages of the item-based algorithm is that it has much smaller computational require- 11 0.0 0.1 0.2 0.3 0.4 0.5 0.6 ecommerce ...items, utilized by many e-commerce sites, cannot take advantage of pre-computed user-to-user similarities. Consequently, even though the throughput of...Non-Zeros ecommerce 6667 17491 91222 catalog 50918 39080 435524 ccard 42629 68793 398619 skills 4374 2125 82612 movielens 943 1682 100000 Table 1: The

  18. A Novel Preferential Diffusion Recommendation Algorithm Based on User’s Nearest Neighbors

    Directory of Open Access Journals (Sweden)

    Fuguo Zhang

    2017-01-01

    Full Text Available Recommender system is a very efficient way to deal with the problem of information overload for online users. In recent years, network based recommendation algorithms have demonstrated much better performance than the standard collaborative filtering methods. However, most of network based algorithms do not give a high enough weight to the influence of the target user’s nearest neighbors in the resource diffusion process, while a user or an object with high degree will obtain larger influence in the standard mass diffusion algorithm. In this paper, we propose a novel preferential diffusion recommendation algorithm considering the significance of the target user’s nearest neighbors and evaluate it in the three real-world data sets: MovieLens 100k, MovieLens 1M, and Epinions. Experiments results demonstrate that the novel preferential diffusion recommendation algorithm based on user’s nearest neighbors can significantly improve the recommendation accuracy and diversity.

  19. Research on E-Commerce Platform-Based Personalized Recommendation Algorithm

    Directory of Open Access Journals (Sweden)

    Zhijun Zhang

    2016-01-01

    Full Text Available Aiming at data sparsity and timeliness in traditional E-commerce collaborative filtering recommendation algorithms, when constructing user-item rating matrix, this paper utilizes the feature that commodities in E-commerce system belong to different levels to fill in nonrated items by calculating RF/IRF of the commodity’s corresponding level. In the recommendation prediction stage, considering timeliness of the recommendation system, time weighted based recommendation prediction formula is adopted to design a personalized recommendation model by integrating level filling method and rating time. The experimental results on real dataset verify the feasibility and validity of the algorithm and it owns higher predicting accuracy compared with present recommendation algorithms.

  20. Matrix- and tensor-based recommender systems for the discovery of currently unknown inorganic compounds

    Science.gov (United States)

    Seko, Atsuto; Hayashi, Hiroyuki; Kashima, Hisashi; Tanaka, Isao

    2018-01-01

    Chemically relevant compositions (CRCs) and atomic arrangements of inorganic compounds have been collected as inorganic crystal structure databases. Machine learning is a unique approach to search for currently unknown CRCs from vast candidates. Herein we propose matrix- and tensor-based recommender system approaches to predict currently unknown CRCs from database entries of CRCs. Firstly, the performance of the recommender system approaches to discover currently unknown CRCs is examined. A Tucker decomposition recommender system shows the best discovery rate of CRCs as the majority of the top 100 recommended ternary and quaternary compositions correspond to CRCs. Secondly, systematic density functional theory (DFT) calculations are performed to investigate the phase stability of the recommended compositions. The phase stability of the 27 compositions reveals that 23 currently unknown compounds are newly found to be stable. These results indicate that the recommender system has great potential to accelerate the discovery of new compounds.

  1. Clinical Policy Recommendations from the VHA State-of-the-Art Conference on Non-Pharmacological Approaches to Chronic Musculoskeletal Pain.

    Science.gov (United States)

    Kligler, Benjamin; Bair, Matthew J; Banerjea, Ranjana; DeBar, Lynn; Ezeji-Okoye, Stephen; Lisi, Anthony; Murphy, Jennifer L; Sandbrink, Friedhelm; Cherkin, Daniel C

    2018-05-01

    As a large national healthcare system, Veterans Health Administration (VHA) is ideally suited to build on its work to date and develop a safe, evidence-based, and comprehensive approach to the care of chronic musculoskeletal pain conditions that de-emphasizes opioid use and emphasizes non-pharmacological strategies. The VHA Office of Health Services Research and Development (HSR&D) held a state-of-the-art (SOTA) conference titled "Non-pharmacological Approaches to Chronic Musculoskeletal Pain Management" in November 2016. Goals of the conference were (1) to establish consensus on the current state of evidence regarding non-pharmacological approaches to chronic musculoskeletal pain to inform VHA policy in this area and (2) to begin to identify priorities for the future VHA research agenda. Workgroups were established and asked to reach consensus recommendations on clinical and research priorities for the following treatment strategies: psychological/behavioral therapies, exercise/movement therapies, manual therapies, and models for delivering multimodal pain care. Participants in the SOTA identified nine non-pharmacological therapies with sufficient evidence to be implemented across the VHA system as part of pain care. Participants further recommended that effective integration of these non-pharmacological approaches across the VHA and especially into VHA primary care, pain care, and mental health settings should be a priority, and that these treatments should be offered early in the course of pain treatment and delivered in a team-based, multimodal treatment setting concurrently with active self-care and self-management approaches. In addition, we recommend that VHA leadership and policy makers systematically address the barriers to implementation of these approaches by expanding opportunities for clinician and veteran education on the effectiveness of these strategies; supporting and funding further research to determine optimal dosage, duration, sequencing

  2. Personalized Location-Based Recommendation Services for Tour Planning in Mobile Tourism Applications

    Science.gov (United States)

    Yu, Chien-Chih; Chang, Hsiao-Ping

    Travel and tour planning is a process of searching, selecting, grouping and sequencing destination related products and services including attractions, accommodations, restaurants, and activities. Personalized recommendation services aim at suggesting products and services to meet users’ preferences and needs, while location-based services focus on providing information based on users’ current positions. Due to the fast growing of user needs in the mobile tourism domain, how to provide personalized location-based tour recommendation services becomes a critical research and practical issue. The objective of this paper is to propose a system architecture and design methods for facilitating the delivery of location-based recommendation services to support personalized tour planning. Based on tourists’ current location and time, as well as personal preferences and needs, various recommendations regarding sightseeing spots, hotels, restaurants, and packaged tour plans can be generated efficiently. An application prototype is also implemented to illustrate and test the system feasibility and effectiveness.

  3. Recommendations regarding problems of research policy relating to the establishment and operation of atomic power stations in Denmark

    Energy Technology Data Exchange (ETDEWEB)

    1976-01-01

    This report, which was submitted by the Danish Planning Council for Research to the Parliamentary Committee on Scientific Research, is based on reports from the DANISH Atomic Energy Commission. and on a sub-committee appointed by the Planning Council, as well as on the comments of the Danish Research Council on these reports. The Planning Council submit that: (1) the question of the introduction and scope of Danish utilization of atomic energy should be considered as a link in setting up a total plan for energy policy elucidating the possibilities in the energy field from both aspects of supply and demand, (2) that there is a continuous interaction between energy policy and research policy in the subject field, (3) that the total resources for energy research and development should be considerably increased, (4) that investigations into the economy of atomic power should be intensified, and (5) that investigations of possibilities for long-term storage of radioactive waste in Denmark should be speeded up. Further, the Planning Council points out the need for research in areas such as (a) wind and solar energy, (b) the environmental impact of utilizing atomic power in relation to that of utilizing other forms of power, (c) economic and social effects of different forms of energy supply, as well as the problems of siting, decision taking and public information and participation and finally, (d) the utilization of the energy raw materials found in Greenland.

  4. Recommendations regarding problems of research policy relating to the establishment and operation of atomic power stations in Denmark

    International Nuclear Information System (INIS)

    1976-01-01

    This report, which was submitted by the Danish Planning Council for Research to the Parliamentary Committee on Scientific Research, is based on reports from the DANISH Atomic Energy Commission. and on a sub-committee appointed by the Planning Council, as well as on the comments of the Danish Research Council on these reports. The Planning Council submit that: 1) the question of the introduction and scope of Danish utilization of atomic energy should be considered as a link in setting up a total plan for energy policy elucidating the possibilities in the energy field from both aspects of supply and demand, 2) that there is a continuous interaction between energy policy and research policy in the subject field 3) that the total resources for energy research and development should be considerably increased, 4) that investigations into the economy of atomic power should be intensified, and 5) that investigations of possibilities for long-term storage of radioactive waste in Denmark should be speeded up. Further, the Planning Council points out the need for research in areas such as a) wind and solar energy, b) the environmental impact of utilizing atomic power in relation to that of utilizing other forms of power, c) economic and social effects of different forms of energy supply, as well as the problems of siting, decision taking and public information and participation and finally, d) the utilization of the energy raw materials found in Greenland. (B.P.)

  5. Illicit Drugs, Policing and the Evidence-Based Policy Paradigm

    Science.gov (United States)

    Ritter, Alison; Lancaster, Kari

    2013-01-01

    The mantra of evidence-based policy (EBP) suggests that endeavours to implement evidence-based policing will produce better outcomes. However there is dissonance between the rhetoric of EBP and the actuality of policing policy. This disjuncture is critically analysed using the case study of illicit drugs policing. The dissonance may be ameliorated…

  6. Collaborative Filtering Recommendation Based on Trust Model with Fused Similar Factor

    Directory of Open Access Journals (Sweden)

    Ye Li

    2017-01-01

    Full Text Available Recommended system is beneficial to e-commerce sites, which provides customers with product information and recommendations; the recommendation system is currently widely used in many fields. In an era of information explosion, the key challenges of the recommender system is to obtain valid information from the tremendous amount of information and produce high quality recommendations. However, when facing the large mount of information, the traditional collaborative filtering algorithm usually obtains a high degree of sparseness, which ultimately lead to low accuracy recommendations. To tackle this issue, we propose a novel algorithm named Collaborative Filtering Recommendation Based on Trust Model with Fused Similar Factor, which is based on the trust model and is combined with the user similarity. The novel algorithm takes into account the degree of interest overlap between the two users and results in a superior performance to the recommendation based on Trust Model in criteria of Precision, Recall, Diversity and Coverage. Additionally, the proposed model can effectively improve the efficiency of collaborative filtering algorithm and achieve high performance.

  7. Economic transition policies in Chinese resource-based cities: An overview of government efforts

    International Nuclear Information System (INIS)

    Li, Huijuan; Long, Ruyin; Chen, Hong

    2013-01-01

    Resource-based cities in China have made momentous contributions to the development of the national economy for decades. However, with the depletion of natural resources, their sustainable development is challenging and transition is important. The Chinese government has made great efforts to help resource-based cities. The purpose of this study is to investigate transition policies and their implementation. Firstly, we reviewed previous studies and summarized the essential elements of some successful resource-based cities, which are useful experiences for Chinese resource-based cities. Secondly, we studied the development of resource-based cities over the past 10 years with a focus on economic development, industrial structure, government revenue and environmental conditions. We found that resource-based cities were less developed compared to other cities. The main reasons are the after-effects of a planned economy, an unreasonable tax system, planning mistakes and misguided resources exploitation policies. Thirdly, we analyzed several aspects of the policy responses after the introduction of transition policies, including designating 69 resource-exhausted cities, supporting cities with funds and projects, formulating transition plans and evaluating transition performance. However, there are some deficiencies in the process of policy implementation. Finally, some recommendations were provided to improve transition performance and sustainable development for resource-based cities. - Highlights: ► Analyze the development of Chinese resource-based cities from four aspects. ► Analyze the causes of less development in resource-based cities. ► Investigate policies and their responses to transformation. ► Provide recommendations to improve transformation performance and sustainable development

  8. EULAR evidence-based recommendations for the management of fibromyalgia syndrome

    DEFF Research Database (Denmark)

    Carville, S.F.; Arendt-Nielsen, S.; Bliddal, H.

    2008-01-01

    Objective: To develop evidence-based recommendations for the management of fibromyalgia syndrome. Methods: A multidisciplinary task force was formed representing 11 European countries. The design of the study, including search strategy, participants, interventions, outcome measures, data collection...... quality studies were used to base recommendations on. When there was insufficient evidence from the literature, a Delphi process was used to provide basis for recommendation. Results: 146 studies were eligible for the review. 39 pharmacological intervention studies and 59 non-pharmacological were included......-pharmacological''. In many studies sample size was small and the quality of the study was insufficient for strong recommendations to be made. Conclusions: Nine recommendations for the management of fibromyalgia syndrome were developed using a systematic review and expert consensus Udgivelsesdato: 2008/4...

  9. A Stock Trading Recommender System Based on Temporal Association Rule Mining

    Directory of Open Access Journals (Sweden)

    Binoy B. Nair

    2015-04-01

    Full Text Available Recommender systems capable of discovering patterns in stock price movements and generating stock recommendations based on the patterns thus discovered can significantly supplement the decision-making process of a stock trader. Such recommender systems are of great significance to a layperson who wishes to profit by stock trading even while not possessing the skill or expertise of a seasoned trader. A genetic algorithm optimized Symbolic Aggregate approXimation (SAX–Apriori based stock trading recommender system, which can mine temporal association rules from the stock price data set to generate stock trading recommendations, is presented in this article. The proposed system is validated on 12 different data sets. The results indicate that the proposed system significantly outperforms the passive buy-and-hold strategy, offering scope for a layperson to successfully invest in capital markets.

  10. Recommendations concerning Tennessee's hazardous waste management policies by a task force representing generators, environmentalists, and other key constituencies

    International Nuclear Information System (INIS)

    Colglazier, E.W.; English, M.R.

    1987-01-01

    Four recommendations are proposed. 1) A Governor's Roundtable on Hazardous and Solid Wastes should be established to ensure that Tennessee have sound policies and plans for waste management, adequate waste treatment and disposal capacity, and the means to meet the October, 1989 deadline for certification of hazardous waste capacity. 2) Opportunities for early public information and participation in Tennessee's RCRA permitting process should be improved. 3) A Superfund Public Involvement Task Force should be appointed by the Commissioner of Health and Environment to find ways to ensure that a community affected by a Tennessee Superfund site has early and adequate opportunities for information and involvement. 4) Communications about hazardous waste issues should be improved by the appointment of a hazardous waste information officer, the establishment of a Speakers Bureau, the funding of the UT Center for Industrial Services' Hazardous Waste Extension Program, establishment of a crisis situation network of consultants for communities, and exploration of the possibility of Amnesty Days for household hazardous waste and for small-quantity generators waste

  11. Policy and Validity Prospects for Performance-Based Assessment.

    Science.gov (United States)

    Baker, Eva L.; And Others

    1994-01-01

    This article describes performance-based assessment as expounded by its proponents, comments on these conceptions, reviews evidence regarding the technical quality of performance-based assessment, and considers its validity under various policy options. (JDD)

  12. A Hybrid Approach using Collaborative filtering and Content based Filtering for Recommender System

    Science.gov (United States)

    Geetha, G.; Safa, M.; Fancy, C.; Saranya, D.

    2018-04-01

    In today’s digital world, it has become an irksome task to find the content of one's liking in an endless variety of content that are being consumed like books, videos, articles, movies, etc. On the other hand there has been an emerging growth among the digital content providers who want to engage as many users on their service as possible for the maximum time. This gave birth to the recommender system comes wherein the content providers recommend users the content according to the users’ taste and liking. In this paper we have proposed a movie recommendation system. A movie recommendation is important in our social life due to its features such as suggesting a set of movies to users based on their interest, or the popularities of the movies. In this paper we are proposing a movie recommendation system that has the ability to recommend movies to a new user as well as the other existing users. It mines movie databases to collect all the important information, such as, popularity and attractiveness, which are required for recommendation. We use content-based and collaborative filtering and also hybrid filtering, which is a combination of the results of these two techniques, to construct a system that provides more precise recommendations concerning movies.

  13. Adherence of Primary Care Physicians to Evidence-Based Recommendations to Reduce Ovarian Cancer Mortality

    OpenAIRE

    Stewart, Sherri L.; Townsend, Julie S.; Puckett, Mary C.; Rim, Sun Hee

    2016-01-01

    Ovarian cancer is the deadliest gynecologic cancer. Receipt of treatment from a gynecologic oncologist is an evidence-based recommendation to reduce mortality from the disease. We examined knowledge and application of this evidence-based recommendation in primary care physicians as part of CDC gynecologic cancer awareness campaign efforts and discussed results in the context of CDC National Comprehensive Cancer Control Program (NCCCP). We analyzed primary care physician responses to questions...

  14. Base-stock policies with reservations

    NARCIS (Netherlands)

    van Foreest, Nicky D.; Teunter, Ruud H.; Syntetos, Aris A.

    2018-01-01

    All intensively studied and widely applied inventory control policies satisfy demand in accordance with the First-Come-First-Served (FCFS) rule, whether this demand is in backorder or not. Interestingly, this rule is sub-optimal when the fill-rate is constrained or when the backorder cost structure

  15. European evidence-based recommendations for diagnosis and treatment of paediatric antiphospholipid syndrome: the SHARE initiative.

    Science.gov (United States)

    Groot, Noortje; de Graeff, Nienke; Avcin, Tadej; Bader-Meunier, Brigitte; Dolezalova, Pavla; Feldman, Brian; Kenet, Gili; Koné-Paut, Isabelle; Lahdenne, Pekka; Marks, Stephen D; McCann, Liza; Pilkington, Clarissa A; Ravelli, Angelo; van Royen-Kerkhof, Annet; Uziel, Yosef; Vastert, Sebastiaan J; Wulffraat, Nico M; Ozen, Seza; Brogan, Paul; Kamphuis, Sylvia; Beresford, Michael W

    2017-10-01

    Antiphospholipid syndrome (APS) is rare in children, and evidence-based guidelines are sparse. Consequently, management is mostly based on observational studies and physician's experience, and treatment regimens differ widely. The Single Hub and Access point for paediatric Rheumatology in Europe (SHARE) initiative was launched to develop diagnostic and management regimens for children and young adults with rheumatic diseases. Here, we developed evidence-based recommendations for diagnosis and treatment of paediatric APS. Evidence-based recommendations were developed using the European League Against Rheumatism standard operating procedure. Following a detailed systematic review of the literature, a committee of paediatric rheumatologists and representation of paediatric haematology with expertise in paediatric APS developed recommendations. The literature review yielded 1473 articles, of which 15 were valid and relevant. In total, four recommendations for diagnosis and eight for treatment of paediatric APS (including paediatric Catastrophic Antiphospholipid Syndrome) were accepted. Additionally, two recommendations for children born to mothers with APS were accepted. It was agreed that new classification criteria for paediatric APS are necessary, and APS in association with childhood-onset systemic lupus erythematosus should be identified by performing antiphospholipid antibody screening. Treatment recommendations included prevention of thrombotic events, and treatment recommendations for venous and/or arterial thrombotic events. Notably, due to the paucity of studies on paediatric APS, level of evidence and strength of the recommendations is relatively low. The SHARE initiative provides international, evidence-based recommendations for diagnosis and treatment for paediatric APS, facilitating improvement and uniformity of care. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use

  16. Variability in State-Based Recommendations for Management of Alpha Thalassemia Trait and Silent Carrier Detected on the Newborn Screen.

    Science.gov (United States)

    Fogel, Benjamin N; Nguyen, Hong Loan T; Smink, Gayle; Sekhar, Deepa L

    2018-04-01

    We conducted an inventory of state-based recommendations for follow-up of alpha thalassemia silent carrier and trait identified on newborn screen. We found wide variability in the nature and timing of these recommendations. We recommend a standardized recommendation to guide pediatricians in evidenced-based care for this population. Copyright © 2017 Elsevier Inc. All rights reserved.

  17. Developing a nursing personnel policy to address body art using an evidence-based model.

    Science.gov (United States)

    Dorwart, Shawna D; Kuntz, Sandra W; Armstrong, Myrna L

    2010-12-01

    An increase in the prevalence of body art as a form of self-expression has motivated health care organizations to develop policies addressing nursing personnel's body art. A systematic review of literature on body art was completed and a telephone survey of 15 hospitals was conducted to query existing policy statements addressing nursing personnel's body art. The literature established no prevalence of body art among nurses or effect of nurses' body art. Of the 13 hospitals (86%) that shared their policy on body art, none provided a rationale or references to support their existing policies. A lack of published evidence identifying the effect of body art among nurses shifts the burden of determining care outcomes to the leadership of individual hospitals. Further research on patients' perception of nursing personnel with visible body art, using an evidence-based model, is recommended. Copyright 2010, SLACK Incorporated.

  18. An improved recommended algorithm for network structure based on two partial graphs

    Directory of Open Access Journals (Sweden)

    Deng Song

    2017-08-01

    Full Text Available In this thesis,we introduce an improved algorithm based on network structure.Based on the standard material diffusion algorithm,considering the influence of the user's score on the recommendation,the adjustment factor of the initial resource allocation vector and the resource transfer matrix in the recommendation algorithm is improved.Using the practical data set from GroupLens webite to evaluate the performance of the proposed algorithm,we performed a series of experiments.The experimental results reveal that it can yield better recommendation accuracy and has higher hitting rate than collaborative filtering,network-based inference.It can solve the problem of cold start and scalability in the standard material diffusion algorithm.And it also can make the recommendation results diversified.

  19. Annual limits on intake of radionuclides by workers based on the 1990 recommendations

    International Nuclear Information System (INIS)

    1991-01-01

    The Commission's new radiation protection recommendations (ICRP, 1991) were developed to take into account new biological information related to the detriment associated with radiation exposures and supersede earlier recommendations in Publication 26 (ICRP, 1977). Adoption of the recommendations necessitates a revision in the Commission's secondary limits contained in Publication 30, Parts 1-4 (ICRP, 1979a, 1980, 1981b, 1988). In order to permit immediate application of these new recommendations, new values of the Annual Limits on Intake (ALIs) which incorporate the new dose limits, radiation weighting factors, and tissue weighting factors and the metabolic and biokinetic information from Publication 30 have been calculated. Presented here are secondary limits for the 1990 Recommendations based on the dosimetric data assembled during the preparation of Publication 30. (author)

  20. Good practice recommendations - medical-professional control of internal exposure to radionuclides in nuclear base installations

    International Nuclear Information System (INIS)

    Berard, Philippe; Blanchin, Nicolas; Fottorino, Robert; Gonin, Michele; Quesne, Benoit; Agrinier, Anne-Laure; Bourgaut, Laurent; Blanchardon, Eric; Challeton de Vathaire, Cecile; Franck, Didier; Piechowski, Jean; Fritsch, Paul; Poncy, Jean-Luc

    2011-07-01

    The first part of this voluminous report presents the context and method of definition of recommendations for a clinical practice and comprises a literature review of national, European and international recommendations, standards and work-group reports. The second part develops recommendations under four main themes: assessment of the committed effective dose (objectives, implementation, communication, traceability and archiving), control programs, dosimetric estimation based on results, and health risk and taking into care by the occupational physician. The authors adopted the same structure for each sub-theme or issue: target extract of regulatory and standard requirements and international recommendations, analysis of literature and of data from professional practices, opinion of the work-group, and graded recommendations with respect to the proof level

  1. Communicating human biomonitoring results to ensure policy coherence with public health recommendations: analysing breastmilk whilst protecting, promoting and supporting breastfeeding

    Directory of Open Access Journals (Sweden)

    Arendt Maryse

    2008-01-01

    Full Text Available Abstract This article addresses the problem of how to ensure consistency in messages communicating public health recommendations on environmental health and on child health. The World Health Organization states that the protection, promotion and support of breastfeeding rank among the most effective interventions to improve child survival. International public health policy recommends exclusive breastfeeding for six months, followed by continued breastfeeding with the addition of safe and adequate complementary foods for two years and beyond. Biomonitoring of breastmilk is used as an indicator of environmental pollution ending up in mankind. This article will therefore present the biomonitoring results of concentrations of residues in breastmilk in a wider context. These results are the mirror that reflects the chemical substances accumulated in the bodies of both men and women in the course of a lifetime. The accumulated substances in our bodies may have an effect on male or female reproductive cells; they are present in the womb, directly affecting the environment of the fragile developing foetus; they are also present in breastmilk. Evidence of man-made chemical residues in breastmilk can provide a shock tactic to push for stronger laws to protect the environment. However, messages about chemicals detected in breastmilk can become dramatized by the media and cause a backlash against breastfeeding, thus contradicting the public health messages issued by the World Health Organization. Analyses of breastmilk show the presence of important nutritional components and live protective factors active in building up the immune system, in gastro intestinal maturation, in immune defence and in providing antiviral, antiparasitic and antibacterial activity. Through cohort studies researchers in environmental health have concluded that long-term breastfeeding counterbalances the effect of prenatal exposure to chemicals causing delay in mental and

  2. Policy-Based Negotiation Engine for Cross-Domain Interoperability

    Science.gov (United States)

    Vatan, Farrokh; Chow, Edward T.

    2012-01-01

    A successful policy negotiation scheme for Policy-Based Management (PBM) has been implemented. Policy negotiation is the process of determining the "best" communication policy that all of the parties involved can agree on. Specifically, the problem is how to reconcile the various (and possibly conflicting) communication protocols used by different divisions. The solution must use protocols available to all parties involved, and should attempt to do so in the best way possible. Which protocols are commonly available, and what the definition of "best" is will be dependent on the parties involved and their individual communications priorities.

  3. Content-addressable memory based enforcement of configurable policies

    Science.gov (United States)

    Berg, Michael J

    2014-05-06

    A monitoring device for monitoring transactions on a bus includes content-addressable memory ("CAM") and a response policy unit. The CAM includes an input coupled to receive a bus transaction tag based on bus traffic on the bus. The CAM stores data tags associated with rules of a security policy to compare the bus transaction tag to the data tags. The CAM generates an output signal indicating whether one or more matches occurred. The response policy unit is coupled to the CAM to receive the output signal from the CAM and to execute a policy action in response to the output signal.

  4. A road map for leptospirosis research and health policies based on country needs in Latin America.

    Science.gov (United States)

    Pereira, Martha Maria; Schneider, Maria Cristina; Munoz-Zanzi, Claudia; Costa, Federico; Benschop, Jackie; Hartskeerl, Rudy; Martinez, Julio; Jancloes, Michel; Bertherat, Eric

    2018-02-19

    This report summarizes the presentations, discussions and the recommendations coming from the Oswaldo Cruz Institute/FIOCRUZ International Workshop for Leptospirosis Research Based on Country Needs and the 5th Global Leptospirosis Environmental Action Network meeting, which was held in the city of Rio de Janeiro, Brazil, 10-12 November 2015. The event focused on health policy and worked to develop a road map as a consensus document to help guide decision-making by policymakers, funding bodies, and health care professionals. The direction that leptospirosis research should take in the coming years was emphasized, taking into account the needs of countries of Latin America, as well as experiences from other world regions, as provided by international experts. The operational concepts of "One Health" and translational research underlaid the discussions and the resulting recommendations. Despite the wide geographic distribution of leptospirosis and its impact in terms of incidence, morbidity, and mortality, leptospirosis is not yet considered a "tool-ready" disease for global initiatives. Surveillance programs need new tools and strategies for early detection, prevention, and follow-up. The major recommendations developed at the Rio meeting cover both health policy and research. The health policy recommendations should be taken into account by decisionmakers, government officials, and the Pan American Health Organization. The priorities for research, technological development, and innovation should be considered by research institutions, universities, and stakeholders.

  5. Strengthening Research Capacity and Evidence-Based Policy ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    ... wider Central Asian region lack capacity to conduct empirical analysis and create policies based on research evidence. To address government priorities, the region needs quality research driven by local demands and analytical skills that can inform effective development responses through policy. This 39-month project, ...

  6. A review of Agent Based Modeling for agricultural policy evaluation

    NARCIS (Netherlands)

    Kremmydas, Dimitris; Athanasiadis, I.N.; Rozakis, Stelios

    2018-01-01

    Farm level scale policy analysis is receiving increased attention due to a changing agricultural policy orientation. Agent based models (ABM) are farm level models that have appeared in the end of 1990's, having several differences from traditional farm level models, like the consideration of

  7. Mobile Clinical Decision Support System for Acid-base Balance Diagnosis and Treatment Recommendation.

    Science.gov (United States)

    Mandzuka, Mensur; Begic, Edin; Boskovic, Dusanka; Begic, Zijo; Masic, Izet

    2017-06-01

    This paper presents mobile application implementing a decision support system for acid-base disorder diagnosis and treatment recommendation. The application was developed using the official integrated development environment for the Android platform (to maximize availability and minimize investments in specialized hardware) called Android Studio. The application identifies disorder, based on the blood gas analysis, evaluates whether the disorder has been compensated, and based on additional input related to electrolyte imbalance, provides recommendations for treatment. The application is a tool in the hands of the user, which provides assistance during acid-base disorders treatment. The application will assist the physician in clinical practice and is focused on the treatment in intensive care.

  8. Analysis of tag-based Recommendation Performance for a Semantic Wiki

    DEFF Research Database (Denmark)

    Durao, Frederico; Dolog, Peter

    2009-01-01

    Recommendations play a very important role for revealing related topics addressed in the wikis beyond the currently viewed page. In this paper, we extend KiWi, a semantic wiki with three different recommendation approaches. The first approach is implemented as a traditional tag-based retrieval......, the second takes into account external factors such as tag popularity, tag representativeness and the affinity between user and tag and the third approach recommends pages in grouped by tag. The experiment evaluates the wiki performance in different scenarios regarding the amount of pages, tags and users...

  9. A new collaborative recommendation approach based on users clustering using artificial bee colony algorithm.

    Science.gov (United States)

    Ju, Chunhua; Xu, Chonghuan

    2013-01-01

    Although there are many good collaborative recommendation methods, it is still a challenge to increase the accuracy and diversity of these methods to fulfill users' preferences. In this paper, we propose a novel collaborative filtering recommendation approach based on K-means clustering algorithm. In the process of clustering, we use artificial bee colony (ABC) algorithm to overcome the local optimal problem caused by K-means. After that we adopt the modified cosine similarity to compute the similarity between users in the same clusters. Finally, we generate recommendation results for the corresponding target users. Detailed numerical analysis on a benchmark dataset MovieLens and a real-world dataset indicates that our new collaborative filtering approach based on users clustering algorithm outperforms many other recommendation methods.

  10. A New Collaborative Recommendation Approach Based on Users Clustering Using Artificial Bee Colony Algorithm

    Directory of Open Access Journals (Sweden)

    Chunhua Ju

    2013-01-01

    Full Text Available Although there are many good collaborative recommendation methods, it is still a challenge to increase the accuracy and diversity of these methods to fulfill users’ preferences. In this paper, we propose a novel collaborative filtering recommendation approach based on K-means clustering algorithm. In the process of clustering, we use artificial bee colony (ABC algorithm to overcome the local optimal problem caused by K-means. After that we adopt the modified cosine similarity to compute the similarity between users in the same clusters. Finally, we generate recommendation results for the corresponding target users. Detailed numerical analysis on a benchmark dataset MovieLens and a real-world dataset indicates that our new collaborative filtering approach based on users clustering algorithm outperforms many other recommendation methods.

  11. Interest Aware Location-Based Recommender System Using Geo-Tagged Social Media

    Directory of Open Access Journals (Sweden)

    Basma AlBanna

    2016-12-01

    Full Text Available Advances in location acquisition and mobile technologies led to the addition of the location dimension to Social Networks (SNs and to the emergence of a newer class called Location-Based Social Networks (LBSNs. While LBSNs are richer in their model and functions than SNs, they fail so far to attract as many users as SNs. On the other hand, SNs have large amounts of geo-tagged media that are under-utilized. In this paper, we propose an Interest-Aware Location-Based Recommender system (IALBR, which combines the advantages of both LBSNs and SNs, in order to provide interest-aware location-based recommendations. This recommender system is proposed as an extension to LBSNs. It is novel in: (1 utilizing the geo-content in both LBSNs and SNs; (2 ranking the recommendations based on a novel scoring method that maps to the user interests. It also works for passive users who are not active content contributors to the LBSN. This feature is critical to increase the number of LBSN users. Moreover, it helps with reducing the cold start problem, which is a common problem facing the new users of recommender systems who get random unsatisfying recommendations. This is due to the lack of user interest awareness, which is reliant on user history in most of the recommenders. We evaluated our system with a large-scale real dataset collected from foursquare with respect to precision, recall and the f-measure. We also compared the results with a ground truth system using metrics like the normalized discounted cumulative gain and the mean absolute error. The results confirm that the proposed IALBR generates more efficient recommendations than baselines in terms of interest awareness.

  12. A mobile and web application-based recommendation system using color quantization and collaborative filtering

    OpenAIRE

    KAYA, FİDAN; YILDIZ, GÜREL; KAVAK, ADNAN

    2015-01-01

    In this paper, a recommendation system based on a mobile and web application is proposed for indoor decoration. The main contribution of this work is to apply two-stage filtering using linear matching and collaborative filtering to make recommendations. In the mobile application part, the image of the medium captured by a mobile phone is analyzed using color quantization methods, and these color analysis results along with other user-defined parameters such as height, width, and type of the p...

  13. Evidence-based recommendations for natural bodybuilding contest preparation: nutrition and supplementation

    OpenAIRE

    Helms, Eric R; Aragon, Alan A; Fitschen, Peter J

    2014-01-01

    The popularity of natural bodybuilding is increasing; however, evidence-based recommendations for it are lacking. This paper reviewed the scientific literature relevant to competition preparation on nutrition and supplementation, resulting in the following recommendations. Caloric intake should be set at a level that results in bodyweight losses of approximately 0.5 to 1%/wk to maximize muscle retention. Within this caloric intake, most but not all bodybuilders will respond best to consuming ...

  14. An effective trust-based recommendation method using a novel graph clustering algorithm

    Science.gov (United States)

    Moradi, Parham; Ahmadian, Sajad; Akhlaghian, Fardin

    2015-10-01

    Recommender systems are programs that aim to provide personalized recommendations to users for specific items (e.g. music, books) in online sharing communities or on e-commerce sites. Collaborative filtering methods are important and widely accepted types of recommender systems that generate recommendations based on the ratings of like-minded users. On the other hand, these systems confront several inherent issues such as data sparsity and cold start problems, caused by fewer ratings against the unknowns that need to be predicted. Incorporating trust information into the collaborative filtering systems is an attractive approach to resolve these problems. In this paper, we present a model-based collaborative filtering method by applying a novel graph clustering algorithm and also considering trust statements. In the proposed method first of all, the problem space is represented as a graph and then a sparsest subgraph finding algorithm is applied on the graph to find the initial cluster centers. Then, the proposed graph clustering algorithm is performed to obtain the appropriate users/items clusters. Finally, the identified clusters are used as a set of neighbors to recommend unseen items to the current active user. Experimental results based on three real-world datasets demonstrate that the proposed method outperforms several state-of-the-art recommender system methods.

  15. An Inter-Personal Information Sharing Model Based on Personalized Recommendations

    Science.gov (United States)

    Kamei, Koji; Funakoshi, Kaname; Akahani, Jun-Ichi; Satoh, Tetsuji

    In this paper, we propose an inter-personal information sharing model among individuals based on personalized recommendations. In the proposed model, we define an information resource as shared between people when both of them consider it important --- not merely when they both possess it. In other words, the model defines the importance of information resources based on personalized recommendations from identifiable acquaintances. The proposed method is based on a collaborative filtering system that focuses on evaluations from identifiable acquaintances. It utilizes both user evaluations for documents and their contents. In other words, each user profile is represented as a matrix of credibility to the other users' evaluations on each domain of interests. We extended the content-based collaborative filtering method to distinguish other users to whom the documents should be recommended. We also applied a concept-based vector space model to represent the domain of interests instead of the previous method which represented them by a term-based vector space model. We introduce a personalized concept-base compiled from each user's information repository to improve the information retrieval in the user's environment. Furthermore, the concept-spaces change from user to user since they reflect the personalities of the users. Because of different concept-spaces, the similarity between a document and a user's interest varies for each user. As a result, a user receives recommendations from other users who have different view points, achieving inter-personal information sharing based on personalized recommendations. This paper also describes an experimental simulation of our information sharing model. In our laboratory, five participants accumulated a personal repository of e-mails and web pages from which they built their own concept-base. Then we estimated the user profiles according to personalized concept-bases and sets of documents which others evaluated. We simulated

  16. Strengthening Science-based Environmental Policy Development in ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    Strengthening Science-based Environmental Policy Development in Burma's Democratic ... IDRC is providing funding to Simon Fraser University to support a network of ... The project will also encourage and assist in the creation of a business ...

  17. Moving Zimbabwe Forward : an Evidence Based Policy Dialogue ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    Moving Zimbabwe Forward : an Evidence Based Policy Dialogue ... levels of poverty, unemployment, inflation and poor service provision in the areas of education, ... International Water Resources Association, in close collaboration with IDRC, ...

  18. Mental Health Smartphone Apps: Review and Evidence-Based Recommendations for Future Developments.

    Science.gov (United States)

    Bakker, David; Kazantzis, Nikolaos; Rickwood, Debra; Rickard, Nikki

    2016-03-01

    The number of mental health apps (MHapps) developed and now available to smartphone users has increased in recent years. MHapps and other technology-based solutions have the potential to play an important part in the future of mental health care; however, there is no single guide for the development of evidence-based MHapps. Many currently available MHapps lack features that would greatly improve their functionality, or include features that are not optimized. Furthermore, MHapp developers rarely conduct or publish trial-based experimental validation of their apps. Indeed, a previous systematic review revealed a complete lack of trial-based evidence for many of the hundreds of MHapps available. To guide future MHapp development, a set of clear, practical, evidence-based recommendations is presented for MHapp developers to create better, more rigorous apps. A literature review was conducted, scrutinizing research across diverse fields, including mental health interventions, preventative health, mobile health, and mobile app design. Sixteen recommendations were formulated. Evidence for each recommendation is discussed, and guidance on how these recommendations might be integrated into the overall design of an MHapp is offered. Each recommendation is rated on the basis of the strength of associated evidence. It is important to design an MHapp using a behavioral plan and interactive framework that encourages the user to engage with the app; thus, it may not be possible to incorporate all 16 recommendations into a single MHapp. Randomized controlled trials are required to validate future MHapps and the principles upon which they are designed, and to further investigate the recommendations presented in this review. Effective MHapps are required to help prevent mental health problems and to ease the burden on health systems.

  19. GROUP POLICY BASED AUTHENTICATION ON INCOMING CALLS FOR ANDROID SMARTPHONES

    OpenAIRE

    Sunita M. Kumbhar, Prof. Z.M Shaikh

    2016-01-01

    The numbers of Smartphone users increasing day by day. Hence, there is need to propose advanced Group Policy based Authentication for incoming calls for Android phone. Android platform provides a variety of functions that support the programming of face recognition, as in image processing. Group policy based authentication scheme increases the security which restricts the access of incoming call form un-authorized user. To solve problems, related to face recognition should be applied in the p...

  20. A New Recommendation Algorithm Based on User’s Dynamic Information in Complex Social Network

    Directory of Open Access Journals (Sweden)

    Jiujun Cheng

    2015-01-01

    Full Text Available The development of recommendation system comes with the research of data sparsity, cold start, scalability, and privacy protection problems. Even though many papers proposed different improved recommendation algorithms to solve those problems, there is still plenty of room for improvement. In the complex social network, we can take full advantage of dynamic information such as user’s hobby, social relationship, and historical log to improve the performance of recommendation system. In this paper, we proposed a new recommendation algorithm which is based on social user’s dynamic information to solve the cold start problem of traditional collaborative filtering algorithm and also considered the dynamic factors. The algorithm takes user’s response information, dynamic interest, and the classic similar measurement of collaborative filtering algorithm into account. Then, we compared the new proposed recommendation algorithm with the traditional user based collaborative filtering algorithm and also presented some of the findings from experiment. The results of experiment demonstrate that the new proposed algorithm has a better recommended performance than the collaborative filtering algorithm in cold start scenario.

  1. Recommender System for E-Learning Based on Semantic Relatedness of Concepts

    Directory of Open Access Journals (Sweden)

    Mao Ye

    2015-08-01

    Full Text Available Digital publishing resources contain a lot of useful and authoritative knowledge. It may be necessary to reorganize the resources by concepts and recommend the related concepts for e-learning. A recommender system is presented in this paper based on the semantic relatedness of concepts computed by texts from digital publishing resources. Firstly, concepts are extracted from encyclopedias. Information in digital publishing resources is then reorganized by concepts. Secondly, concept vectors are generated by skip-gram model and semantic relatedness between concepts is measured according to the concept vectors. As a result, the related concepts and associated information can be recommended to users by the semantic relatedness for learning or reading. History data or users’ preferences data are not needed for recommendation in a specific domain. The technique may not be language-specific. The method shows potential usability for e-learning in a specific domain.

  2. Effect of recent popularity on heat-conduction based recommendation models

    Science.gov (United States)

    Li, Wen-Jun; Dong, Qiang; Shi, Yang-Bo; Fu, Yan; He, Jia-Lin

    2017-05-01

    Accuracy and diversity are two important measures in evaluating the performance of recommender systems. It has been demonstrated that the recommendation model inspired by the heat conduction process has high diversity yet low accuracy. Many variants have been introduced to improve the accuracy while keeping high diversity, most of which regard the current node-degree of an item as its popularity. However in this way, a few outdated items of large degree may be recommended to an enormous number of users. In this paper, we take the recent popularity (recently increased item degrees) into account in the heat-conduction based methods, and propose accordingly the improved recommendation models. Experimental results on two benchmark data sets show that the accuracy can be largely improved while keeping the high diversity compared with the original models.

  3. PRUB: A Privacy Protection Friend Recommendation System Based on User Behavior

    Directory of Open Access Journals (Sweden)

    Wei Jiang

    2016-01-01

    Full Text Available The fast developing social network is a double-edged sword. It remains a serious problem to provide users with excellent mobile social network services as well as protecting privacy data. Most popular social applications utilize behavior of users to build connection with people having similar behavior, thus improving user experience. However, many users do not want to share their certain behavioral information to the recommendation system. In this paper, we aim to design a secure friend recommendation system based on the user behavior, called PRUB. The system proposed aims at achieving fine-grained recommendation to friends who share some same characteristics without exposing the actual user behavior. We utilized the anonymous data from a Chinese ISP, which records the user browsing behavior, for 3 months to test our system. The experiment result shows that our system can achieve a remarkable recommendation goal and, at the same time, protect the privacy of the user behavior information.

  4. Policy recommendations on tacing and reducing program mismatch and perverse incentives present in earmarking sin tax to tobacco growing areas

    Directory of Open Access Journals (Sweden)

    Madeiline Joy Aloria

    2018-03-01

    Full Text Available Background Recognizing that the Philippine 1991 tobacco tax sharing law favoured the development of tobacco, the Sin Tax Law, a separate law on restructuring cigarette tax, expanded the use of such to also cover shifting farmers to viable alternative livelihood. Aside from health-driven supply reduction objectives, this is crucial as evidence shows that tobacco production is continuously declining starting decades ago, requiring to actively shift farmers. Methods Data on tobacco excise tax earmarking and utilization, farmers´ production and shifting behaviours, labor improvement and poverty alleviation indicators, and LGU capacity were analysed to determine potential program mismatches and perverse incentives. Supporting qualitative data were used to identify policy and structural gaps to address these. Results Financing livelihood projects becomes the least priority (only 6% average share i funds, as a result of LGU´s final allocation being determined by their share in total tobacco leaf production, which actually put pressure on their farmers to increase production volume. Meanwhile, infrastructure continue to get bulk of sin tax earmarking and are linked to its political benefits. Last, the provision of cooperative and agro-industrial projects in selected areas were shifting behaviour is heavy can still be improved. Conclusions As the two tobacco tax sharing laws fund both programs to develop tobacco and to shift tobacco farmers to other livelihood, a schizophrenic management exists. Key structural and policy ingredients have to be present to reverse this. First is the need to establish institutional support to manage alternative livelihood funds, in order to balance the powers of National Tobacco Administration over tobacco growing areas. Allocation should not be based on production volume but rather on a systemic or comprehensive welfare assessment of shifted farmers. As livelihood programs are most commonly coursed through civil society

  5. The European Federation of Organisations for Medical Physics Policy Statement No. 6.1: Recommended Guidelines on National Registration Schemes for Medical Physicists.

    Science.gov (United States)

    Christofides, Stelios; Isidoro, Jorge; Pesznyak, Csilla; Bumbure, Lada; Cremers, Florian; Schmidt, Werner F O

    2016-01-01

    This EFOMP Policy Statement is an update of Policy Statement No. 6 first published in 1994. The present version takes into account the European Union Parliament and Council Directive 2013/55/EU that amends Directive 2005/36/EU on the recognition of professional qualifications and the European Union Council Directive 2013/59/EURATOM laying down the basic safety standards for protection against the dangers arising from exposure to ionising radiation. The European Commission Radiation Protection Report No. 174, Guidelines on Medical Physics Expert and the EFOMP Policy Statement No. 12.1, Recommendations on Medical Physics Education and Training in Europe 2014, are also taken into consideration. The EFOMP National Member Organisations are encouraged to update their Medical Physics registration schemes where these exist or to develop registration schemes taking into account the present version of this EFOMP Policy Statement (Policy Statement No. 6.1"Recommended Guidelines on National Registration Schemes for Medical Physicists"). Copyright © 2016. Published by Elsevier Ltd.

  6. Multi-agent system for Knowledge-based recommendation of Learning Objects

    Directory of Open Access Journals (Sweden)

    Paula Andrea RODRÍGUEZ MARÍN

    2015-12-01

    Full Text Available Learning Object (LO is a content unit being used within virtual learning environments, which -once found and retrieved- may assist students in the teaching - learning process. Such LO search and retrieval are recently supported and enhanced by data mining techniques. In this sense, clustering can be used to find groups holding similar LOs so that from obtained groups, knowledge-based recommender systems (KRS can recommend more adapted and relevant LOs. In particular, prior knowledge come from LOs previously selected, liked and ranked by the student to whom the recommendation will be performed. In this paper, we present a KRS for LOs, which uses a conventional clustering technique, namely K-means, aimed at finding similar LOs and delivering resources adapted to a specific student. Obtained promising results show that proposed KRS is able to both retrieve relevant LO and improve the recommendation precision.Learning Object (LO is a content unit being used within virtual learning environments, which -once found and retrieved- may assist students in the teaching - learning process. Such LO search and retrieval are recently supported and enhanced by data mining techniques. In this sense, clustering can be used to find groups holding similar LOs so that from obtained groups, knowledge-based recommender systems (KRS can recommend more adapted and relevant LOs. In particular, prior knowledge come from LOs previously selected, liked and ranked by the student to whom the recommendation will be performed. In this paper, we present a KRS for LOs, which uses a conventional clustering technique, namely K-means, aimed at finding similar LOs and delivering resources adapted to a specific student. Obtained promising results show that proposed KRS is able to both retrieve relevant LO and improve the recommendation precision.

  7. Policy Document on Earth Observation for Urban Planning and Management: State of the Art and Recommendations for Application of Earth Observation in Urban Planning

    Science.gov (United States)

    Nichol, Janet; King, Bruce; Xiaoli, Ding; Dowman, Ian; Quattrochi, Dale; Ehlers, Manfred

    2007-01-01

    A policy document on earth observation for urban planning and management resulting from a workshop held in Hong Kong in November 2006 is presented. The aim of the workshop was to provide a forum for researchers and scientists specializing in earth observation to interact with practitioners working in different aspects of city planning, in a complex and dynamic city, Hong Kong. A summary of the current state of the art, limitations, and recommendations for the use of earth observation in urban areas is presented here as a policy document.

  8. Ecosystem Based Management in Transition: From Ocean Policy to Application

    Science.gov (United States)

    Saumweber, W. J.; Goldman, E.

    2016-12-01

    Ecosystem-based management (EBM) has been proposed as a means to improve resource management and stewardship for more than two decades. Over this history, its exact goals and approaches have evolved in concert with advances in science and policy, including a greater understanding of ecosystem function, valuation, and thresholds for change, along with direct reference to EBM principles in statute, regulation, and other Executive Actions. Most recently, and explicitly, the Administration's National Ocean Policy (NOP) called for the development of a Federal EBM framework that would outline principles and guidelines for implementing EBM under existing authorities. This cross-agency framework has yet to be developed, but, the NOP, and related Administration initiatives, have resulted in the practical application of EBM principles in several issue-specific policy initiatives ranging from fisheries and marine protected area management to coastal adaptation and water resource infrastructure investment. In each case, the application of EBM principles uses apparently unique policy mechanisms (e.g. marine planning, ecosystem services assessment, adaptive management, dynamic ocean management, etc.). Despite differences in terminology and policy context, each of these policy initiatives is linked at its core to concepts of integrated and adaptive management that consider broad ecosystem function and services. This practical history of EBM implementation speaks to both the challenges and opportunities in broad incorporation of EBM across diverse policy initiatives and frameworks. We suggest that the continued growth of EBM as a practical policy concept will require a move away from broad frameworks, and towards the identification of specific resource management issues and accompanying policy levers with which to address those issues. In order to promote this progression, Federal policy should recognize and articulate the diverse set of policy mechanisms encompassed under the

  9. The Policy Recommendations of the Association of American Geographers as Reflected In the Ventura County Community College.

    Science.gov (United States)

    McDannold, Thomas A.

    A survey was conducted to identify the degree to which the Association of American Geographers (AAG) 1970 recommendations on geography programs in two-year colleges were reflected in geography programs offered in the Ventura County Community College District (California). Results indicated that the recommendations were followed to a great extent,…

  10. A Geospatial Data Recommender System based on Metadata and User Behaviour

    Science.gov (United States)

    Li, Y.; Jiang, Y.; Yang, C. P.; Armstrong, E. M.; Huang, T.; Moroni, D. F.; Finch, C. J.; McGibbney, L. J.

    2017-12-01

    Earth observations are produced in a fast velocity through real time sensors, reaching tera- to peta- bytes of geospatial data daily. Discovering and accessing the right data from the massive geospatial data is like finding needle in the haystack. To help researchers find the right data for study and decision support, quite a lot of research focusing on improving search performance have been proposed including recommendation algorithm. However, few papers have discussed the way to implement a recommendation algorithm in geospatial data retrieval system. In order to address this problem, we propose a recommendation engine to improve discovering relevant geospatial data by mining and utilizing metadata and user behavior data: 1) metadata based recommendation considers the correlation of each attribute (i.e., spatiotemporal, categorical, and ordinal) to data to be found. In particular, phrase extraction method is used to improve the accuracy of the description similarity; 2) user behavior data are utilized to predict the interest of a user through collaborative filtering; 3) an integration method is designed to combine the results of the above two methods to achieve better recommendation Experiments show that in the hybrid recommendation list, the all the precisions are larger than 0.8 from position 1 to 10.

  11. ASN guide project. Safety policy and management in INBs (base nuclear installations)

    International Nuclear Information System (INIS)

    2010-01-01

    This guide presents the recommendations of the French Nuclear Safety Authority (ASN) in the field of safety policy and management (PMS) for base nuclear installations (INBs). It gives an overview and comments of some prescriptions of the so-called INB order and PMS decision. These regulatory texts define a framework for provisions any INB operator must implement to establish his safety policy, to define and implement a system which allows the safety to be maintained, the improvement of his INB safety to be permanently looked for. The following issues are addressed: operator's safety policy, identification of elements important for safety, of activities pertaining to safety, and of associated requirements, safety management organization and system, management of activities pertaining to safety, documentation and archiving

  12. Router Agent Technology for Policy-Based Network Management

    Science.gov (United States)

    Chow, Edward T.; Sudhir, Gurusham; Chang, Hsin-Ping; James, Mark; Liu, Yih-Chiao J.; Chiang, Winston

    2011-01-01

    This innovation can be run as a standalone network application on any computer in a networked environment. This design can be configured to control one or more routers (one instance per router), and can also be configured to listen to a policy server over the network to receive new policies based on the policy- based network management technology. The Router Agent Technology transforms the received policies into suitable Access Control List syntax for the routers it is configured to control. It commits the newly generated access control lists to the routers and provides feedback regarding any errors that were faced. The innovation also automatically generates a time-stamped log file regarding all updates to the router it is configured to control. This technology, once installed on a local network computer and started, is autonomous because it has the capability to keep listening to new policies from the policy server, transforming those policies to router-compliant access lists, and committing those access lists to a specified interface on the specified router on the network with any error feedback regarding commitment process. The stand-alone application is named RouterAgent and is currently realized as a fully functional (version 1) implementation for the Windows operating system and for CISCO routers.

  13. Shilling attack detection for recommender systems based on credibility of group users and rating time series.

    Science.gov (United States)

    Zhou, Wei; Wen, Junhao; Qu, Qiang; Zeng, Jun; Cheng, Tian

    2018-01-01

    Recommender systems are vulnerable to shilling attacks. Forged user-generated content data, such as user ratings and reviews, are used by attackers to manipulate recommendation rankings. Shilling attack detection in recommender systems is of great significance to maintain the fairness and sustainability of recommender systems. The current studies have problems in terms of the poor universality of algorithms, difficulty in selection of user profile attributes, and lack of an optimization mechanism. In this paper, a shilling behaviour detection structure based on abnormal group user findings and rating time series analysis is proposed. This paper adds to the current understanding in the field by studying the credibility evaluation model in-depth based on the rating prediction model to derive proximity-based predictions. A method for detecting suspicious ratings based on suspicious time windows and target item analysis is proposed. Suspicious rating time segments are determined by constructing a time series, and data streams of the rating items are examined and suspicious rating segments are checked. To analyse features of shilling attacks by a group user's credibility, an abnormal group user discovery method based on time series and time window is proposed. Standard testing datasets are used to verify the effect of the proposed method.

  14. High-Value Consults: A Curriculum to Promote Point-of-Care, Evidence-Based Recommendations.

    Science.gov (United States)

    Nandiwada, Deepa Rani; Kohli, Amar; McNamara, Megan; Smith, Kenneth J; Zimmer, Shanta; McNeil, Melissa; Spagnoletti, Carla; Rubio, Doris; Berlacher, Kathryn

    2017-10-01

    In an era when value-based care is paramount, teaching trainees to explicitly communicate the evidence behind recommendations fosters high-value care (HVC) in the consultation process. To implement an HVC consult curriculum highlighting the need for clear consult questions, evidence-based recommendations to improve consult teaching, clinical decision-making, and the educational value of consults. A pilot curriculum was implemented for residents on cardiology consult electives utilizing faculty and fellows as evidence-based medicine (EBM) coaches. The curriculum included an online module, an EBM teaching point template, EBM presentations on rounds, and "coach" feedback on notes. A total of 15 residents and 4 fellows on cardiology consults participated, and 87% (13 of 15) of residents on consults felt the curriculum was educationally valuable. A total of 80% (72 of 90) of residents on general medicine rotations responded to the survey, and 25 of 72 residents (35%) had a consult with the EBM template. General medicine teams felt the EBM teaching points affected clinical decision-making (48%, 12 of 25) and favored dissemination of the curriculum (90%, 72 of 80). Checklist-guided chart review showed a 22% improvement in evidence-based summaries behind recommendations (7 of 36 precurriculum to 70 of 146 charts postcurriculum, P  = .015). The HVC consult curriculum during a cardiology elective was perceived by residents to influence clinical decision-making and evidence-based recommendations, and was found to be educationally valuable on both parties in the consult process.

  15. Age replacement policy based on imperfect repair with random probability

    International Nuclear Information System (INIS)

    Lim, J.H.; Qu, Jian; Zuo, Ming J.

    2016-01-01

    In most of literatures of age replacement policy, failures before planned replacement age can be either minimally repaired or perfectly repaired based on the types of failures, cost for repairs and so on. In this paper, we propose age replacement policy based on imperfect repair with random probability. The proposed policy incorporates the case that such intermittent failure can be either minimally repaired or perfectly repaired with random probabilities. The mathematical formulas of the expected cost rate per unit time are derived for both the infinite-horizon case and the one-replacement-cycle case. For each case, we show that the optimal replacement age exists and is finite. - Highlights: • We propose a new age replacement policy with random probability of perfect repair. • We develop the expected cost per unit time. • We discuss the optimal age for replacement minimizing the expected cost rate.

  16. Worship Discourse and White Race-based Policy Attitudes

    Science.gov (United States)

    Brown, R. Khari; Kaiser, Angela; Jackson, James S.

    2014-01-01

    The current study relies upon the 2004 National Politics Study to examine the association between exposure to race-based messages within places of worship and White race-based policy attitudes. The present study challenges the notion that, for White Americans, religiosity inevitably leads to racial prejudice. Rather, we argue, as others have, that religion exists on a continuum that spans from reinforcing to challenging the status quo of social inequality. Our findings suggests that the extent to which Whites discuss race along with the potential need for public policy solutions to address racial inequality within worship spaces, worship attendance contributes to support for public policies aimed at reducing racial inequality. On the other hand, apolitical and non-structural racial discussions within worship settings do seemingly little to move many Whites to challenge dominant idealistic perceptions of race that eschews public policy interventions as solutions to racial inequality. PMID:25324579

  17. Recommended core items to assess e-cigarette use in population-based surveys.

    Science.gov (United States)

    Pearson, Jennifer L; Hitchman, Sara C; Brose, Leonie S; Bauld, Linda; Glasser, Allison M; Villanti, Andrea C; McNeill, Ann; Abrams, David B; Cohen, Joanna E

    2018-05-01

    A consistent approach using standardised items to assess e-cigarette use in both youth and adult populations will aid cross-survey and cross-national comparisons of the effect of e-cigarette (and tobacco) policies and improve our understanding of the population health impact of e-cigarette use. Focusing on adult behaviour, we propose a set of e-cigarette use items, discuss their utility and potential adaptation, and highlight e-cigarette constructs that researchers should avoid without further item development. Reliable and valid items will strengthen the emerging science and inform knowledge synthesis for policy-making. Building on informal discussions at a series of international meetings of 65 experts from 15 countries, the authors provide recommendations for assessing e-cigarette use behaviour, relative perceived harm, device type, presence of nicotine, flavours and reasons for use. We recommend items assessing eight core constructs: e-cigarette ever use, frequency of use and former daily use; relative perceived harm; device type; primary flavour preference; presence of nicotine; and primary reason for use. These items should be standardised or minimally adapted for the policy context and target population. Researchers should be prepared to update items as e-cigarette device characteristics change. A minimum set of e-cigarette items is proposed to encourage consensus around items to allow for cross-survey and cross-jurisdictional comparisons of e-cigarette use behaviour. These proposed items are a starting point. We recognise room for continued improvement, and welcome input from e-cigarette users and scientific colleagues. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

  18. Bone Health in Patients with Breast Cancer: Recommendations from an Evidence-Based Canadian Guideline

    Directory of Open Access Journals (Sweden)

    Alexander H. G. Paterson

    2013-12-01

    Full Text Available Bone loss is common in patients with breast cancer. Bone modifying agents (BMAs, such as bisphosphonates and denosumab, have been shown to reverse or stabilize bone loss and may be useful in the primary and metastatic settings. The purpose of this review is to provide clear evidence-based strategies for the management of bone loss and its symptoms in breast cancer. A systematic review of clinical trials and meta-analyses published between 1996 and 2012 was conducted of MEDLINE and EMBASE. Reference lists were hand-searched for additional publications. Recommendations were developed based on the best available evidence. Zoledronate, pamidronate, clodronate, and denosumab are recommended for metastatic breast cancer patients; however, no one agent can be recommended over another. Zoledronate or any oral bisphosphonate and denosumab should be considered in primary breast cancer patients who are postmenopausal on aromatase inhibitor therapy and have a high risk of fracture and/or a low bone mineral density and in premenopausal primary breast cancer patients who become amenorrheic after therapy. No one agent can be recommended over another. BMAs are not currently recommended as adjuvant therapy in primary breast cancer for the purpose of improving survival, although a major Early Breast Cancer Cooperative Trialists’ Group meta-analysis is underway which may impact future practice. Adverse events can be managed with appropriate supportive care.

  19. Hot News Recommendation System from Heterogeneous Websites Based on Bayesian Model

    Directory of Open Access Journals (Sweden)

    Zhengyou Xia

    2014-01-01

    Full Text Available The most current news recommendations are suitable for news which comes from a single news website, not for news from different heterogeneous news websites. Previous researches about news recommender systems based on different strategies have been proposed to provide news personalization services for online news readers. However, little research work has been reported on utilizing hundreds of heterogeneous news websites to provide top hot news services for group customers (e.g., government staffs. In this paper, we propose a hot news recommendation model based on Bayesian model, which is from hundreds of different news websites. In the model, we determine whether the news is hot news by calculating the joint probability of the news. We evaluate and compare our proposed recommendation model with the results of human experts on the real data sets. Experimental results demonstrate the reliability and effectiveness of our method. We also implement this model in hot news recommendation system of Hangzhou city government in year 2013, which achieves very good results.

  20. A novel video recommendation system based on efficient retrieval of human actions

    Science.gov (United States)

    Ramezani, Mohsen; Yaghmaee, Farzin

    2016-09-01

    In recent years, fast growth of online video sharing eventuated new issues such as helping users to find their requirements in an efficient way. Hence, Recommender Systems (RSs) are used to find the users' most favorite items. Finding these items relies on items or users similarities. Though, many factors like sparsity and cold start user impress the recommendation quality. In some systems, attached tags are used for searching items (e.g. videos) as personalized recommendation. Different views, incomplete and inaccurate tags etc. can weaken the performance of these systems. Considering the advancement of computer vision techniques can help improving RSs. To this end, content based search can be used for finding items (here, videos are considered). In such systems, a video is taken from the user to find and recommend a list of most similar videos to the query one. Due to relating most videos to humans, we present a novel low complex scalable method to recommend videos based on the model of included action. This method has recourse to human action retrieval approaches. For modeling human actions, some interest points are extracted from each action and their motion information are used to compute the action representation. Moreover, a fuzzy dissimilarity measure is presented to compare videos for ranking them. The experimental results on HMDB, UCFYT, UCF sport and KTH datasets illustrated that, in most cases, the proposed method can reach better results than most used methods.

  1. Hot news recommendation system from heterogeneous websites based on bayesian model.

    Science.gov (United States)

    Xia, Zhengyou; Xu, Shengwu; Liu, Ningzhong; Zhao, Zhengkang

    2014-01-01

    The most current news recommendations are suitable for news which comes from a single news website, not for news from different heterogeneous news websites. Previous researches about news recommender systems based on different strategies have been proposed to provide news personalization services for online news readers. However, little research work has been reported on utilizing hundreds of heterogeneous news websites to provide top hot news services for group customers (e.g., government staffs). In this paper, we propose a hot news recommendation model based on Bayesian model, which is from hundreds of different news websites. In the model, we determine whether the news is hot news by calculating the joint probability of the news. We evaluate and compare our proposed recommendation model with the results of human experts on the real data sets. Experimental results demonstrate the reliability and effectiveness of our method. We also implement this model in hot news recommendation system of Hangzhou city government in year 2013, which achieves very good results.

  2. A snapshot of the European energy service market in 2010 and policy recommendations to foster a further market development

    International Nuclear Information System (INIS)

    Marino, Angelica; Bertoldi, Paolo; Rezessy, Silvia; Boza-Kiss, Benigna

    2011-01-01

    As of 2010, the energy service market in Europe is still far from utilising its full potential. Wide-scale peer-reviewed studies investigating the development and up-to-date status of the European ESCo market are scarce. This article presents a comprehensive insight of the European ESCo industry based on the results from a large-scale survey carried out 2009-2010 in 39 European countries. The observed market development during the period 2007-2010, trends in business practices, and factors influencing the ESCo industry evolution are described. Finally, having considered the remaining barriers and the supporting factors as well as the successful experiences in Europe, policy measures that could further promote ESCo activities are proposed. - Highlights: → ESCo markets in Europe continue to show diverse stages of development. → Between 2007 and 2010 the European ESCo market underwent a slow growth. → European states have introduced favourable legislative framework for energy conservation. → Loan guarantees recognising the ESCo contractual model increase the access to finance. → Establishment of quality standards and certification schemes for ESCos are essential.

  3. Science Based Policies: How Can Scientist Communicate their Points Across?

    International Nuclear Information System (INIS)

    Elnakat, A. C.

    2002-01-01

    With the complexity of environmental problems faced today, both scientists and policymakers are striving to combine policy and administration with the physical and natural sciences in order to mitigate and prevent environmental degradation. Nevertheless, communicating science to policymakers has been difficult due to many barriers. Even though scientists and policymakers share the blame in the miscommunication. This paper will provide recommendations targeted to the scientific arena. Establishing guidelines for the cooperation of scientists and policymakers can be an unattainable goal due to the complexity and diversity of political policymaking and environmental issues. However, the recommendations provided in this paper are simple enough to be followed by a wide variety of audiences and institutions in the scientific fields. This will aid when trying to fill the gap that has prevented the enhancement of scientific policymaking strategies, which decide on the critical issue s such as the disposal, transportation and production of hazardous waste

  4. GaMuSo: Graph base music recommendation in a social bookmarking service

    NARCIS (Netherlands)

    Knijf, de J.; Liekens, A.M.L.; Gama, J.; Bradley, E.; Hollmén, J.

    2011-01-01

    In this work we describe a recommendation system based upon user-generated description (tags) of content. In particular, we describe an experimental system (GaMuSo) that consists of more than 140.000 user-defined tags for over 400.000 artists. From this data we constructed a bipartite graph, linking

  5. Are chartists artists? The determinants and profitability of recommendations based on technical analysis

    NARCIS (Netherlands)

    Gerritsen, Dirk F.

    2016-01-01

    The value of technical analysis (TA) has been debated for decades; however, limited evidence exists on the profitability of investment recommendations issued by technical analysts. These ‘chartists’ sometimes claim that TA is an art rather than a science. We evaluated > 5000 TA-based buy and sell

  6. Understanding the Organizational Nature of Student Persistence: Empirically-based Recommendations for Practice.

    Science.gov (United States)

    Berger, Joseph B.

    2002-01-01

    Builds on the assumption that colleges and universities are organizations and subsequently that the organizational perspective provides important insights for improving retention on campuses. A review of existing organizational studies of undergraduate persistence serves as the basis for ten empirically-based recommendations for practice that are…

  7. Fetal Implications of Diagnostic Radiation Exposure During Pregnancy: Evidence-based Recommendations.

    Science.gov (United States)

    Rimawi, Bassam H; Green, Victoria; Lindsay, Michael

    2016-06-01

    The purpose of this article is to review the fetal and long-term implications of diagnostic radiation exposure during pregnancy. Evidence-based recommendations for radiologic imaging modalities utilizing exposure of diagnostic radiation during pregnancy, including conventional screen-film mammography, digital mammography, tomosynthesis, and contrast-enhanced mammography are described.

  8. Male circumcision for HIV prevention in Papua New Guinea: a summary of research evidence and recommendations for public health following a national policy forum.

    Science.gov (United States)

    Vallely, A; MacLaren, D J; Kaleva, W; Millan, J; Tommbe, R; Marape, W; Manineng, C; Buchanan, H; Amos, A; Frank, R; Kelly, A; Kupul, M; Aeno, H; Trowalle, E; John, L N; Redman-Maclaren, M L; Ryan, C; Browne, K; Tynan, A; Hill, P S; Gray, R T; Murray, J; Wilson, D P; Law, G; Siba, P; McBride, W J H; Farley, T; Kaldor, J M

    2011-01-01

    In 2005, a clinical trial in South Africa found that circumcision of young men could reduce their risk of acquiring HIV (human immunodeficiency virus) infection by over 60%. In the following year, two more trials in Africa confirmed this finding, leading the World Health Organization to recommend male circumcision as a public health strategy for HIV prevention in high-incidence countries. In order to inform public health policy in Papua New Guinea (PNG), two major research projects were initiated with the goals of investigating the status of penile cutting practices and assessing understandings, acceptability, feasibility and cost-effectiveness of male circumcision for HIV prevention. In addition, behavioural surveillance surveys systematically asked questions on penile cutting practices and an ethnographic literature review informed historical perspectives of penile cutting in PNG. Key findings from these research activities were presented at a National Policy Forum on Male Circumcision for HIV Prevention held in Port Moresby in November 2011. The Forum made three key recommendations: (1) the formation of a joint National Department of HealthlNational AIDS Council Secretariat Policy Committee on male circumcision; (2) the establishment of an integrated harm reduction program; and (3) that future policy on wide-scale roll-out of male circumcision for HIV prevention in PNG be informed by a combination of data from (a) male circumcision intervention pilot programs and (b) research on the potential protective effect of other forms of penile cutting.

  9. Research and Design of a Grid Based Electronic Commerce Recommendation System

    OpenAIRE

    Liang, Yueling; Nie, Guihua

    2010-01-01

    Current electronic commerce recommendation system is designed for single electronic commerce website and current recommendation technologies have obvious deficiencies Centralized recommendation systems can not resolve the contradiction between high recommendation quality and timely response, as well as that between limited recommendation range and ever rich information on the web. Distributed recommendation systems are expected to improve the recommendation quality while maintaining high perf...

  10. How is the process of setting micronutrients recommendations reflected in nutrition policies in Poland? The case study of folate

    Directory of Open Access Journals (Sweden)

    Ewa Sicińska

    2018-03-01

    The current Polish nutrition recommendations for folate are consistent with the levels set by most other countries. The constant improvement of nutritional knowledge on folate among consumers, especially young women, is necessary.

  11. Base stock policies with degraded service to larger orders

    DEFF Research Database (Denmark)

    Du, Bisheng; Larsen, Christian

    We study an inventory system controlled by a base stock policy assuming a compound renewal demand process. We extend the base stock policy by incorporating rules for degrading the service of larger orders. Two specific rules are considered, denoted Postpone(q,t) and Split(q), respectively. The aim...... of using these rules is to achieve a given order fill rate of the regular orders (those of size less than or equal to the parameter q) having less inventory. We develop mathematical expressions for the performance measures order fill rate (of the regular orders) and average on-hand inventory level. Based...

  12. Recommendations for improving the quality of reporting clinical electrochemotherapy studies based on qualitative systematic review

    DEFF Research Database (Denmark)

    Campana, LG; Clover, AJ; Valpione, S

    2016-01-01

    Electrochemotherapy is becoming a well-established treatment for malignancies of skin and non-skin origin and its use is widening across Europe. The technique was developed and optimized from solid experimental and clinical evidence. A consensus document is now warranted to formalize reporting re...... studies and to provide the recommendations for reporting clinical trials on electrochemotherapy....... results, which should strengthen evidence-based practice recommendations. This consensus should be derived from high quality clinical data collection, clinical expertise and summarizing patient feedback. The first step, which is addressed in this paper, aims to critically analyze the quality of published...

  13. E-book recommender system design and implementation based on data mining

    Science.gov (United States)

    Wang, Zongjiang

    2011-12-01

    In the knowledge explosion, rapid development of information age, how quickly the user or users interested in useful information for feedback to the user problem to be solved in this article. This paper based on data mining, association rules to the model and classification model a combination of electronic books on the recommendation of the user's neighboring users interested in e-books to target users. Introduced the e-book recommendation and the key technologies, system implementation algorithms, and implementation process, was proved through experiments that this system can help users quickly find the required e-books.

  14. Review of Recommender Systems Algorithms Utilized in Social Networks based e-Learning Systems & Neutrosophic System

    Directory of Open Access Journals (Sweden)

    A. A. Salama

    2015-03-01

    Full Text Available In this paper, we present a review of different recommender system algorithms that are utilized in social networks based e-Learning systems. Future research will include our proposed our e-Learning system that utilizes Recommender System and Social Network. Since the world is full of indeterminacy, the neutrosophics found their place into contemporary research. The fundamental concepts of neutrosophic set, introduced by Smarandache in [21, 22, 23] and Salama et al. in [24-66].The purpose of this paper is to utilize a neutrosophic set to analyze social networks data conducted through learning activities.

  15. Audio-based Age and Gender Identification to Enhance the Recommendation of TV Content

    DEFF Research Database (Denmark)

    Shepstone, Sven Ewan; Tan, Zheng-Hua; Jensen, Søren Holdt

    2013-01-01

    Recommending TV content to groups of viewers is best carried out when relevant information such as the demographics of the group is available. However, it can be difficult and time consuming to extract information for every user in the group. This paper shows how an audio analysis of the age...... and gender of a group of users watching the TV can be used for recommending a sequence of N short TV content items for the group. First, a state of the art audio-based classifier determines the age and gender of each user in an M-user group and creates a group profile. A genetic recommender algorithm...... profile, thus ensuring that items are proportionally allocated to users with respect to their demographic categorization. The proposed system is compared to an ideal system where the group demographics are provided explicitly. Results using real speaker utterances show that, in spite of the inaccuracies...

  16. Recommendation System Based On Association Rules For Distributed E-Learning Management Systems

    Science.gov (United States)

    Mihai, Gabroveanu

    2015-09-01

    Traditional Learning Management Systems are installed on a single server where learning materials and user data are kept. To increase its performance, the Learning Management System can be installed on multiple servers; learning materials and user data could be distributed across these servers obtaining a Distributed Learning Management System. In this paper is proposed the prototype of a recommendation system based on association rules for Distributed Learning Management System. Information from LMS databases is analyzed using distributed data mining algorithms in order to extract the association rules. Then the extracted rules are used as inference rules to provide personalized recommendations. The quality of provided recommendations is improved because the rules used to make the inferences are more accurate, since these rules aggregate knowledge from all e-Learning systems included in Distributed Learning Management System.

  17. Multinational evidence-based recommendations for pain management by pharmacotherapy in inflammatory arthritis

    DEFF Research Database (Denmark)

    Whittle, Samuel L; Colebatch, Alexandra N; Buchbinder, Rachelle

    2012-01-01

    Objective. To develop evidence-based recommendations for pain management by pharmacotherapy in patients with inflammatory arthritis (IA).Methods. A total of 453 rheumatologists from 17 countries participated in the 2010 3e (Evidence, Expertise, Exchange) Initiative. Using a formal voting process......, 89 rheumatologists representing all 17 countries selected 10 clinical questions regarding the use of pain medications in IA. Bibliographic fellows undertook a systematic literature review for each question, using MEDLINE, EMBASE, Cochrane CENTRAL and 2008-09 European League Against Rheumatism (EULAR...... to each recommendation. The recommendations related to the efficacy and safety of various analgesic medications, pain measurement scales and pain management in the pre-conception period, pregnancy and lactation. Finally, an algorithm for the pharmacological management of pain in IA was developed. Twenty...

  18. Using Mathematical Modeling and Set-Based Design Principles to Recommend an Existing CVL Design

    Science.gov (United States)

    2017-09-01

    MATHEMATICAL MODELING AND SET-BASED DESIGN PRINCIPLES TO RECOMMEND AN EXISTING CVL DESIGN by William H. Ehlies September 2017 Thesis Advisor...Office of Management and Budget, Paperwork Reduction Project (0704-0188) Washington, DC 20503. 1. AGENCY USE ONLY (Leave blank) 2. REPORT DATE...September 2017 3. REPORT TYPE AND DATES COVERED Master’s thesis 4. TITLE AND SUBTITLE USING MATHEMATICAL MODELING AND SET-BASED DESIGN PRINCIPLES

  19. N-screen aware multicriteria hybrid recommender system using weight based subspace clustering.

    Science.gov (United States)

    Ullah, Farman; Sarwar, Ghulam; Lee, Sungchang

    2014-01-01

    This paper presents a recommender system for N-screen services in which users have multiple devices with different capabilities. In N-screen services, a user can use various devices in different locations and time and can change a device while the service is running. N-screen aware recommendation seeks to improve the user experience with recommended content by considering the user N-screen device attributes such as screen resolution, media codec, remaining battery time, and access network and the user temporal usage pattern information that are not considered in existing recommender systems. For N-screen aware recommendation support, this work introduces a user device profile collaboration agent, manager, and N-screen control server to acquire and manage the user N-screen devices profile. Furthermore, a multicriteria hybrid framework is suggested that incorporates the N-screen devices information with user preferences and demographics. In addition, we propose an individual feature and subspace weight based clustering (IFSWC) to assign different weights to each subspace and each feature within a subspace in the hybrid framework. The proposed system improves the accuracy, precision, scalability, sparsity, and cold start issues. The simulation results demonstrate the effectiveness and prove the aforementioned statements.

  20. a Context-Aware Tourism Recommender System Based on a Spreading Activation Method

    Science.gov (United States)

    Bahramian, Z.; Abbaspour, R. Ali; Claramunt, C.

    2017-09-01

    Users planning a trip to a given destination often search for the most appropriate points of interest location, this being a non-straightforward task as the range of information available is very large and not very well structured. The research presented by this paper introduces a context-aware tourism recommender system that overcomes the information overload problem by providing personalized recommendations based on the user's preferences. It also incorporates contextual information to improve the recommendation process. As previous context-aware tourism recommender systems suffer from a lack of formal definition to represent contextual information and user's preferences, the proposed system is enhanced using an ontology approach. We also apply a spreading activation technique to contextualize user preferences and learn the user profile dynamically according to the user's feedback. The proposed method assigns more effect in the spreading process for nodes which their preference values are assigned directly by the user. The results show the overall performance of the proposed context-aware tourism recommender systems by an experimental application to the city of Tehran.

  1. A CONTEXT-AWARE TOURISM RECOMMENDER SYSTEM BASED ON A SPREADING ACTIVATION METHOD

    Directory of Open Access Journals (Sweden)

    Z. Bahramian

    2017-09-01

    Full Text Available Users planning a trip to a given destination often search for the most appropriate points of interest location, this being a non-straightforward task as the range of information available is very large and not very well structured. The research presented by this paper introduces a context-aware tourism recommender system that overcomes the information overload problem by providing personalized recommendations based on the user’s preferences. It also incorporates contextual information to improve the recommendation process. As previous context-aware tourism recommender systems suffer from a lack of formal definition to represent contextual information and user’s preferences, the proposed system is enhanced using an ontology approach. We also apply a spreading activation technique to contextualize user preferences and learn the user profile dynamically according to the user’s feedback. The proposed method assigns more effect in the spreading process for nodes which their preference values are assigned directly by the user. The results show the overall performance of the proposed context-aware tourism recommender systems by an experimental application to the city of Tehran.

  2. A condition-based maintenance policy for stochastically deteriorating systems

    International Nuclear Information System (INIS)

    Grall, A.; Berenguer, C.; Dieulle, L.

    2002-01-01

    We focus on the analytical modeling of a condition-based inspection/replacement policy for a stochastically and continuously deteriorating single-unit system. We consider both the replacement threshold and the inspection schedule as decision variables for this maintenance problem and we propose to implement the maintenance policy using a multi-level control-limit rule. In order to assess the performance of the proposed maintenance policy and to minimize the long run expected maintenance cost per unit time, a mathematical model for the maintained system cost is derived, supported by the existence of a stationary law for the maintained system state. Numerical experiments illustrate the performance of the proposed policy and confirm that the maintenance cost rate on an infinite horizon can be minimized by a joint optimization of the maintenance structure thresholds, or equivalently by a joint optimization of a system replacement threshold and the aperiodic inspection schedule

  3. Altered Mental Status: Current Evidence-based Recommendations for Prehospital Care

    Directory of Open Access Journals (Sweden)

    Ashley Sanello

    2018-03-01

    Full Text Available Introduction: In the United States emergency medical services (EMS protocols vary widely across jurisdictions. We sought to develop evidence-based recommendations for the prehospital evaluation and treatment of a patient with an acute change in mental status and to compare these recommendations against the current protocols used by the 33 EMS agencies in the State of California. Methods: We performed a literature review of the current evidence in the prehospital treatment of a patient with altered mental status (AMS and augmented this review with guidelines from various national and international societies to create our evidence-based recommendations. We then compared the AMS protocols of each of the 33 EMS agencies for consistency with these recommendations. The specific protocol components that we analyzed were patient assessment, point-of-care tests, supplemental oxygen, use of standardized scoring, evaluating for causes of AMS, blood glucose evaluation, toxicological treatment, and pediatric evaluation and management. Results: Protocols across 33 EMS agencies in California varied widely. All protocols call for a blood glucose check, 21 (64% suggest treating adults at <60mg/dL, and half allow for the use of dextrose 10%. All the protocols recommend naloxone for signs of opioid overdose, but only 13 (39% give specific parameters. Half the agencies (52% recommend considering other toxicological causes of AMS, often by using the mnemonic AEIOU TIPS. Eight (24% recommend a 12-lead electrocardiogram; others simply suggest cardiac monitoring. Fourteen (42% advise supplemental oxygen as needed; only seven (21% give specific parameters. In terms of considering various etiologies of AMS, 25 (76% give instructions to consider trauma, 20 (61% to consider stroke, and 18 (55% to consider seizure. Twenty-three (70% of the agencies have separate pediatric AMS protocols; others include pediatric considerations within the adult protocol. Conclusion: Protocols

  4. LDA-Based Unified Topic Modeling for Similar TV User Grouping and TV Program Recommendation.

    Science.gov (United States)

    Pyo, Shinjee; Kim, Eunhui; Kim, Munchurl

    2015-08-01

    Social TV is a social media service via TV and social networks through which TV users exchange their experiences about TV programs that they are viewing. For social TV service, two technical aspects are envisioned: grouping of similar TV users to create social TV communities and recommending TV programs based on group and personal interests for personalizing TV. In this paper, we propose a unified topic model based on grouping of similar TV users and recommending TV programs as a social TV service. The proposed unified topic model employs two latent Dirichlet allocation (LDA) models. One is a topic model of TV users, and the other is a topic model of the description words for viewed TV programs. The two LDA models are then integrated via a topic proportion parameter for TV programs, which enforces the grouping of similar TV users and associated description words for watched TV programs at the same time in a unified topic modeling framework. The unified model identifies the semantic relation between TV user groups and TV program description word groups so that more meaningful TV program recommendations can be made. The unified topic model also overcomes an item ramp-up problem such that new TV programs can be reliably recommended to TV users. Furthermore, from the topic model of TV users, TV users with similar tastes can be grouped as topics, which can then be recommended as social TV communities. To verify our proposed method of unified topic-modeling-based TV user grouping and TV program recommendation for social TV services, in our experiments, we used real TV viewing history data and electronic program guide data from a seven-month period collected by a TV poll agency. The experimental results show that the proposed unified topic model yields an average 81.4% precision for 50 topics in TV program recommendation and its performance is an average of 6.5% higher than that of the topic model of TV users only. For TV user prediction with new TV programs, the average

  5. School Improvement Policy--Site-Based Management

    Directory of Open Access Journals (Sweden)

    C. Kenneth Tanner

    1998-03-01

    Full Text Available Have administrative functions of principals changed in schools practicing site-based management (SBM with shared governance? To deal with this issue we employed the Delphi technique and a panel of 24 experts from 14 states. The experts, which included educational specialists, researchers, writers, and elementary school principals, agreed that the implementation of SBM dramatically influences the roles of the principal in management/administration and leadership. Data revealed that the elementary principal's leadership role requires specialized skills to support shared governance, making it necessary to form professional development programs that adapt to innovations evolving from the implementation of SBM.

  6. Empirical Comparison of Graph-based Recommendation Engines for an Apps Ecosystem

    Directory of Open Access Journals (Sweden)

    Luis F. Chiroque

    2015-03-01

    Full Text Available Recommendation engines (RE are becoming highly popular, e.g., in the area of e-commerce. A RE offers new items (products or content to users based on their profile and historical data. The most popular algorithms used in RE are based on collaborative filtering. This technique makes recommendations based on the past behavior of other users and the similarity between users and items. In this paper we have evaluated the performance of several RE based on the properties of the networks formed by users and items. The RE use in a novel way graph theoretic concepts like edges weights or network flow. The evaluation has been conducted in a real environment (ecosystem for recommending apps to smartphone users. The analysis of the results allows concluding that the effectiveness of a RE can be improved if the age of the data, and if a global view of the data is considered. It also shows that graph-based RE are effective, but more experiments are required for a more accurate characterization of their properties.

  7. TRSDL: Tag-Aware Recommender System Based on Deep Learning–Intelligent Computing Systems

    Directory of Open Access Journals (Sweden)

    Nan Liang

    2018-05-01

    Full Text Available In recommender systems (RS, many models are designed to predict ratings of items for the target user. To improve the performance for rating prediction, some studies have introduced tags into recommender systems. Tags benefit RS considerably, however, they are also redundant and ambiguous. In this paper, we propose a hybrid deep learning model TRSDL (tag-aware recommender system based on deep learning to improve the performance of tag-aware recommender systems (TRS. First, TRSDL uses pre-trained word embeddings to represent user-defined tags, and constructs item and user profiles based on the items’ tags set and users’ tagging behaviors. Then, it utilizes deep neural networks (DNNs and recurrent neural networks (RNNs to extract the latent features of items and users, respectively. Finally, it predicts ratings from these latent features. The model not only addresses tag limitations and takes advantage of semantic tag information but also learns more advanced implicit features via deep structures. We evaluated our proposed approach and several baselines on MovieLens-20 m, and the experimental results demonstrate that TRSDL significantly outperforms all the baselines (including the state-of-the-art models BiasedMF and I-AutoRec. In addition, we also explore the impacts of network depth and type on model performance.

  8. PROPOSAL FOR BUILD A TEST STAND TO THE STUDY WATER RAM BASED ON THE RECOMMENDATIONS CONSTRUCTION

    Directory of Open Access Journals (Sweden)

    Dariusz GRYGO

    2016-05-01

    Full Text Available The main aim of this article was developed of a test stand to a study physics phenomena accruing at work in a ram water based on the construction recommendations. The experience gained by a number of attempts allowed to the developed construction recommendations that allowed to adjust the test stand to perform various studies of physics phenomena occurring at the work of water ram and easy adaptions to the new requirements. The article includes: the review of the test stands on which performed the study in the history and in the present times, description of the construction recommendations of the universal test stand and the proposal of the test stand developed based on the construction recommendations. Motivation to take up this issue follows from the interest of devices that work in an unconventional way, devices used a renewable energy that can be used in household e.g. to improve their energy balance, delivery water to houses, drinking water for animals, fields irrigation, etc. Analysis of the literature of the water ram, test stands and their performance shown that it is small and typically old development in popular science form. In times of intensive search new sources of renewable energy reactivation of this type equipment may be highly probable.

  9. Microbial quality of reclaimed water for urban reuses: Probabilistic risk-based investigation and recommendations.

    Science.gov (United States)

    Chhipi-Shrestha, Gyan; Hewage, Kasun; Sadiq, Rehan

    2017-01-15

    Although Canada has abundant freshwater resources, many cities still experience seasonal water shortage. Supply-side and demand-side management is a core strategy to address this water shortage. Under this strategy, reclaimed water, which the Canadian public is willing to use for non-potable purposes, is an option. However, no universal guidelines exist for reclaimed water use. Despite the federal government's long-term goal to develop guidelines for many water reuse applications, guidelines have only been prescribed for reclaimed water use in toilet and urinal flushing in Canada. At the provincial level, British Columbia (BC) has promulgated guidelines for wide applications of reclaimed water but only at broad class levels. This research has investigated and proposed probabilistic risk-based recommended values for microbial quality of reclaimed water in various non-potable urban reuses. The health risk was estimated by using quantitative microbial risk assessment. Two-dimensional Monte Carlo simulations were used in the analysis to include variability and uncertainty in input data. The proposed recommended values are based on the indicator organism E. coli. The required treatment levels for reuse were also estimated. In addition, the recommended values were successfully applied to three wastewater treatment effluents in the Okanagan Valley, BC, Canada. The health risks associated with other bacterial pathogens (Campylobacter jejuni and Salmonella spp.), virus (adenovirus, norovirus, and rotavirus), and protozoa (Cryptosporidium parvum and Giardia spp.), were also estimated. The estimated risks indicate the effectiveness of the E. coli-based water quality recommended values. Sensitivity analysis shows the pathogenic E. coli ratio and morbidity are the most sensitive input parameters for all water reuses. The proposed recommended values could be further improved by using national or regional data on water exposures, disease burden per case, and the susceptibility

  10. A multi-label learning based kernel automatic recommendation method for support vector machine.

    Science.gov (United States)

    Zhang, Xueying; Song, Qinbao

    2015-01-01

    Choosing an appropriate kernel is very important and critical when classifying a new problem with Support Vector Machine. So far, more attention has been paid on constructing new kernels and choosing suitable parameter values for a specific kernel function, but less on kernel selection. Furthermore, most of current kernel selection methods focus on seeking a best kernel with the highest classification accuracy via cross-validation, they are time consuming and ignore the differences among the number of support vectors and the CPU time of SVM with different kernels. Considering the tradeoff between classification success ratio and CPU time, there may be multiple kernel functions performing equally well on the same classification problem. Aiming to automatically select those appropriate kernel functions for a given data set, we propose a multi-label learning based kernel recommendation method built on the data characteristics. For each data set, the meta-knowledge data base is first created by extracting the feature vector of data characteristics and identifying the corresponding applicable kernel set. Then the kernel recommendation model is constructed on the generated meta-knowledge data base with the multi-label classification method. Finally, the appropriate kernel functions are recommended to a new data set by the recommendation model according to the characteristics of the new data set. Extensive experiments over 132 UCI benchmark data sets, with five different types of data set characteristics, eleven typical kernels (Linear, Polynomial, Radial Basis Function, Sigmoidal function, Laplace, Multiquadric, Rational Quadratic, Spherical, Spline, Wave and Circular), and five multi-label classification methods demonstrate that, compared with the existing kernel selection methods and the most widely used RBF kernel function, SVM with the kernel function recommended by our proposed method achieved the highest classification performance.

  11. Exploring Dutch surgeons' views on volume-based policies: a qualitative interview study.

    Science.gov (United States)

    Mesman, Roos; Faber, Marjan J; Westert, Gert P; Berden, Bart

    2018-01-01

    Objective In many countries, the evidence for volume-outcome associations in surgery has been transferred into policy. Despite the large body of research that exists on the topic, qualitative studies aimed at surgeons' views on, and experiences with, these volume-based policies are lacking. We interviewed Dutch surgeons to gain more insight into the implications of volume-outcome policies for daily clinical practice, as input for effective surgical quality improvement. Methods Semi-structured interviews were conducted with 20 purposively selected surgeons from a stratified sample for hospital type and speciality. The interviews were recorded, transcribed verbatim and underwent inductive content analysis. Results Two overarching themes were inductively derived from the data: (1) minimum volume standards and (2) implications of volume-based policies. Although surgeons acknowledged the premise 'more is better', they were critical about the validity and underlying evidence for minimum volume standards. Patients often inquire about caseload, which is met with both understanding and discomfort. Surgeons offered many examples of controversies surrounding the process of determining thresholds as well as the ways in which health insurers use volume as a purchasing criterion. Furthermore, being held accountable for caseload may trigger undesired strategic behaviour, such as unwarranted operations. Volume-based policies also have implications for the survival of low-volume providers and affect patient travel times, although the latter is not necessarily problematic in the Dutch context. Conclusions Surgeons in this study acknowledged that more volume leads to better quality. However, validity issues, undesired strategic behaviour and the ways in which minimum volume standards are established and applied have made surgeons critical of current policy practice. These findings suggest that volume remains a controversial quality measure and causes polarization that is not

  12. Hidden policy ciphertext-policy attribute-based encryption with keyword search against keyword guessing attack

    Institute of Scientific and Technical Information of China (English)

    Shuo; QIU; Jiqiang; LIU; Yanfeng; SHI; Rui; ZHANG

    2017-01-01

    Attribute-based encryption with keyword search(ABKS) enables data owners to grant their search capabilities to other users by enforcing an access control policy over the outsourced encrypted data. However,existing ABKS schemes cannot guarantee the privacy of the access structures, which may contain some sensitive private information. Furthermore, resulting from the exposure of the access structures, ABKS schemes are susceptible to an off-line keyword guessing attack if the keyword space has a polynomial size. To solve these problems, we propose a novel primitive named hidden policy ciphertext-policy attribute-based encryption with keyword search(HP-CPABKS). With our primitive, the data user is unable to search on encrypted data and learn any information about the access structure if his/her attribute credentials cannot satisfy the access control policy specified by the data owner. We present a rigorous selective security analysis of the proposed HP-CPABKS scheme, which simultaneously keeps the indistinguishability of the keywords and the access structures. Finally,the performance evaluation verifies that our proposed scheme is efficient and practical.

  13. A Personalized Electronic Movie Recommendation System Based on Support Vector Machine and Improved Particle Swarm Optimization.

    Science.gov (United States)

    Wang, Xibin; Luo, Fengji; Qian, Ying; Ranzi, Gianluca

    2016-01-01

    With the rapid development of ICT and Web technologies, a large an amount of information is becoming available and this is producing, in some instances, a condition of information overload. Under these conditions, it is difficult for a person to locate and access useful information for making decisions. To address this problem, there are information filtering systems, such as the personalized recommendation system (PRS) considered in this paper, that assist a person in identifying possible products or services of interest based on his/her preferences. Among available approaches, collaborative Filtering (CF) is one of the most widely used recommendation techniques. However, CF has some limitations, e.g., the relatively simple similarity calculation, cold start problem, etc. In this context, this paper presents a new regression model based on the support vector machine (SVM) classification and an improved PSO (IPSO) for the development of an electronic movie PRS. In its implementation, a SVM classification model is first established to obtain a preliminary movie recommendation list based on which a SVM regression model is applied to predict movies' ratings. The proposed PRS not only considers the movie's content information but also integrates the users' demographic and behavioral information to better capture the users' interests and preferences. The efficiency of the proposed method is verified by a series of experiments based on the MovieLens benchmark data set.

  14. Green energy - the road to a Danish energy system without fossil fuels. Summary of the work, results and recommendations of the Danish Commission on Climate Change Policy

    Energy Technology Data Exchange (ETDEWEB)

    2010-09-15

    This summary report describes the main outcomes of the deliberations of the Danish Commission on Climate Change Policy. It includes a proposal for how Denmark can become independent of fossil fuels and, at the same time, meet the target of reducing greenhouse gases by 80%-95% compared with 1990. In addition, 40 specific recommendations for initiatives which will contribute to the realisation of the vision are presented. The documentation section of the overall report, which is only available in Danish, presents the Climate Commission's work in more detail, as well as a description of the comprehensive analyses on which the Climate Commission has based its recommendations. Finally, the background documents, which have been prepared at the request of the Climate Commission are available (in Danish) at the Commission's website, www.klimakommissionen.dk. We can both reduce Danish emissions of greenhouse gasses significantly, and make Denmark independent of fossil fuels. This will require a total conversion of the Danish energy system; conversion away from oil, coal and gas, which today account for more than 80% of our energy consumption, and to green energy with wind turbines and bioenergy as the most important elements. The cost of conversion may seem surprisingly low. The low cost means that not only can we maintain our present living standards, we can also have considerable economic growth, so that energy expenditures will constitute less of our budgets in the future than today. The reason the cost is not higher is primarily because we will not have to pay for overpriced fossil fuels and CO{sub 2} reductions, and we will be able to limit our energy consumption through efficiency improvements in all areas in the future. It is difficult to make predictions about the exact design of the green energy system of the future. However, in overall terms it could look like this: 1) Energy will be used far more efficiently, so that we can, for example, heat our houses

  15. No Child Left Behind in Art Education Policy: A Review of Key Recommendations for Arts Language Revisions

    Science.gov (United States)

    Grey, Anne C.

    2010-01-01

    From bipartisan origins and a laudable intent, the No Child Left Behind (Act) of 2001 has profoundly altered the condition of art education. A historical vantage point and review of literature reveals the current status of pending arts language revisions to the NCLB Act, as well as a pressing need to examine the key recommendations and to consider…

  16. Management of clandestine drug laboratories: need for evidence-based environmental health policies.

    Science.gov (United States)

    Al-Obaidi, Tamara A; Fletcher, Stephanie M

    2014-01-01

    Clandestine drug laboratories (CDLs) have been emerging and increasing as a public health problem in Australia, with methamphetamine being the dominant illegally manufactured drug. However, management and remediation of contaminated properties are still limited in terms of regulation and direction, especially in relation to public and environmental health practice. Therefore, this review provides an update on the hazards and health effects associated with CDLs, with a specific look at the management of these labs from an Australian perspective. Particularly, the paper attempts to describe the policy landscape for management of CDLs, and identifies current gaps and how further research may be utilised to advance understanding and management of CDLs and inform public health policies. The paper highlights a significant lack of evidence-based policies and guidelines to guide regulatory authority including environmental health officers in Australia. Only recently, the national Clandestine Drug Laboratory Guidelines were developed to assist relevant authority and specialists manage and carry out investigations and remediation of contaminated sites. However, only three states have developed state-based guidelines, some of which are inadequate to meet environmental health requirements. The review recommends well-needed inter-sectoral collaborations and further research to provide an evidence base for the development of robust policies and standard operating procedures for safe and effective environmental health management and remediation of CDLs.

  17. Shadows of Stuxnet: Recommendations for U.S. Policy on Critical Infrastructure Cyber Defense Derived from the Stuxnet Attack

    Science.gov (United States)

    2016-03-01

    wastewater, oil and natural gas, chemical, transportation, pharmaceutical, pulp and paper, food and beverage , and discrete manufacturing (e.g...4302, and to the Office of Management and Budget, Paperwork Reduction Project (0704-0188) Washington, DC 20503. 1. AGENCY USE ONLY (Leave blank) 2... Management xiv PDD presidential decision directive PPD 21 Presidential Policy Directive 21 PLC programmable logic controller SCADA supervisory

  18. IT Policies for Development: Analysis and Recommendations of Free Libre Open Source Software Initiatives of the Bolivarian Republic of Venezuela

    Science.gov (United States)

    Maldonado Rangel, Edgar A.

    2009-01-01

    In recent years the two concepts of economic development and technological advancement have become entwined so that they have, in many cases, come to mean the same thing. For countries seeking economic development through engagement with the Information Economy, policies supporting technological development claim privileged positions in national…

  19. An evidence-based recommendation on bed head elevation for mechanically ventilated patients.

    Science.gov (United States)

    Niël-Weise, Barbara S; Gastmeier, Petra; Kola, Axel; Vonberg, Ralf P; Wille, Jan C; van den Broek, Peterhans J

    2011-01-01

    A semi-upright position in ventilated patients is recommended to prevent ventilator-associated pneumonia (VAP) and is one of the components in the Ventilator Bundle of the Institute for Health Care Improvement. This recommendation, however, is not an evidence-based one. A systematic review on the benefits and disadvantages of semi-upright position in ventilated patients was done according to PRISMA guidelines. Then a European expert panel developed a recommendation based on the results of the systematic review and considerations beyond the scientific evidence in a three-round electronic Delphi procedure. Three trials (337 patients) were included in the review. The results showed that it was uncertain whether a 45° bed head elevation was effective or harmful with regard to the occurrence of clinically suspected VAP, microbiologically confirmed VAP, decubitus and mortality, and that it was unknown whether 45° elevation for 24 hours a day increased the risk for thromboembolism or hemodynamic instability. A group of 22 experts recommended elevating the head of the bed of mechanically ventilated patients to a 20 to 45° position and preferably to a ≥ 30° position as long as it does not pose risks or conflicts with other nursing tasks, medical interventions or patients' wishes. Although the review failed to prove clinical benefits of bed head elevation, experts prefer this position in ventilated patients. They made clear that the position of a ventilated patient in bed depended on many determinants. Therefore, given the scientific uncertainty about the benefits and harms of a semi-upright position, this position could only be recommended as the preferred position with the necessary restrictions.

  20. Evidence-based recommendations on the use of intravenous lipid emulsion therapy in poisoning

    DEFF Research Database (Denmark)

    Gosselin, Sophie; Hoegberg, Lotte C G; Hoffman, Robert S

    2016-01-01

    to insufficient data for non-LAs. All recommendations were based on very low quality of evidence. CONCLUSION: Clinical recommendations regarding the use of ILE in poisoning were only possible in a small number of scenarios and were based mainly on very low quality of evidence, balance of expected risks...... and benefits, adverse effects, laboratory interferences as well as related costs and resources. The workgroup emphasizes that dose-finding and controlled studies reflecting human poisoning scenarios are required to advance knowledge of limitations, indications, adverse effects, effectiveness, and best regimen...... clinical situations were selected for voting. Voting statements were proposed using a predetermined format. A two-round modified Delphi method was used to reach consensus on the voting statements. Disagreement was quantified using RAND/UCLA Appropriateness Method. RESULTS: For the management of cardiac...

  1. TaDb: A time-aware diffusion-based recommender algorithm

    Science.gov (United States)

    Li, Wen-Jun; Xu, Yuan-Yuan; Dong, Qiang; Zhou, Jun-Lin; Fu, Yan

    2015-02-01

    Traditional recommender algorithms usually employ the early and recent records indiscriminately, which overlooks the change of user interests over time. In this paper, we show that the interests of a user remain stable in a short-term interval and drift during a long-term period. Based on this observation, we propose a time-aware diffusion-based (TaDb) recommender algorithm, which assigns different temporal weights to the leading links existing before the target user's collection and the following links appearing after that in the diffusion process. Experiments on four real datasets, Netflix, MovieLens, FriendFeed and Delicious show that TaDb algorithm significantly improves the prediction accuracy compared with the algorithms not considering temporal effects.

  2. Science Concierge: A Fast Content-Based Recommendation System for Scientific Publications.

    Science.gov (United States)

    Achakulvisut, Titipat; Acuna, Daniel E; Ruangrong, Tulakan; Kording, Konrad

    2016-01-01

    Finding relevant publications is important for scientists who have to cope with exponentially increasing numbers of scholarly material. Algorithms can help with this task as they help for music, movie, and product recommendations. However, we know little about the performance of these algorithms with scholarly material. Here, we develop an algorithm, and an accompanying Python library, that implements a recommendation system based on the content of articles. Design principles are to adapt to new content, provide near-real time suggestions, and be open source. We tested the library on 15K posters from the Society of Neuroscience Conference 2015. Human curated topics are used to cross validate parameters in the algorithm and produce a similarity metric that maximally correlates with human judgments. We show that our algorithm significantly outperformed suggestions based on keywords. The work presented here promises to make the exploration of scholarly material faster and more accurate.

  3. Science Concierge: A Fast Content-Based Recommendation System for Scientific Publications.

    Directory of Open Access Journals (Sweden)

    Titipat Achakulvisut

    Full Text Available Finding relevant publications is important for scientists who have to cope with exponentially increasing numbers of scholarly material. Algorithms can help with this task as they help for music, movie, and product recommendations. However, we know little about the performance of these algorithms with scholarly material. Here, we develop an algorithm, and an accompanying Python library, that implements a recommendation system based on the content of articles. Design principles are to adapt to new content, provide near-real time suggestions, and be open source. We tested the library on 15K posters from the Society of Neuroscience Conference 2015. Human curated topics are used to cross validate parameters in the algorithm and produce a similarity metric that maximally correlates with human judgments. We show that our algorithm significantly outperformed suggestions based on keywords. The work presented here promises to make the exploration of scholarly material faster and more accurate.

  4. Consensus-based recommendations for case report in Chinese medicine (CARC).

    Science.gov (United States)

    Fu, Shu-Fei; Cheng, Chung-Wah; Zhang, Li; Zhong, Linda Li-Dan; Kun, Wai; Lin, Jia; Zhang, Bo-Li; Wang, Yong-Yan; Shang, Hong-Cai; Bian, Zhao-Xiang

    2016-01-01

    Case reports are valuable clinical evidence in traditional Chinese medicine (TCM). However, the general reporting quality is suboptimal. A working group comprising 20 members was set up to develop systematic recommendations on case report in Chinese medicine (CARC). The working group (CARC group) developed a primary checklist based on reviewing the general reporting quality of case reports in TCM and thorough internal discussion. Two-round consensus process had been carried out among clinical experts, evidence-based medicine methodologists, medical journal editors and clinical practitioners with designated questionnaire embedded with the primary checklist. In total, 118 participants from 17 provinces of China and Korea completed the questionnaires. Their feedback was analyzed and discussed by the CARC group. The checklist was amended accordingly, and the final version, comprising 16-item, is presented here. Under the framework of CARC recommendations, the reporting quality of case reports in TCM can be improved.

  5. FCT: a fully-distributed context-aware trust model for location based service recommendation

    Institute of Scientific and Technical Information of China (English)

    Zhiquan LIU; Jianfeng MA; Zhongyuan JIANG; Yinbin MIAO

    2017-01-01

    With the popularity of location based service (LBS),a vast number of trust medels for LBS recommendation (LBSR) have been proposed.These trust models are centralized in essence,and the trusted third party may collude with malicious service providers or cause the single-point failure problem.This work improves the classic certified reputation (CR) model and proposes a novel fully-distributed context-aware trust (FCT) model for LBSR.Recommendation operations are conducted by service providers directly and the trusted third party is no longer required in our FCT model.Besides,our FCT model also supports the movements of service providers due to its self-certified characteristic.Moreover,for easing the collusion attack and value imbalance attack,we comprehensively consider four kinds of factor weights,namely number,time decay,preference and context weights.Finally,a fully-distributed service recommendation scenario is deployed,and comprehensive experiments and analysis are conducted.The results indicate that our FCT model significantly outperforms the CR model in terms of the robustness against the collusion attack and value imbalance attack,as well as the service recommendation performance in improving the successful trading rates of honest service providers and reducing the risks of trading with malicious service providers.

  6. Design of a Real-Time and Continua-Based Framework for Care Guideline Recommendations

    Directory of Open Access Journals (Sweden)

    Yu-Feng Lin

    2014-04-01

    Full Text Available Telehealth is an important issue in the medical and healthcare domains. Although a number of systems have been developed to meet the demands of emerging telehealth services, the following problems still remain to be addressed: (1 most systems do not monitor/predict the vital signs states so that they are able to send alarms to caregivers in real-time; (2 most systems do not focus on reducing the amount of work that caregivers need to do, and provide patients with remote care; and (3 most systems do not recommend guidelines for caregivers. This study thus proposes a framework for a real-time and Continua-based Care Guideline Recommendation System (Cagurs which utilizes mobile device platforms to provide caregivers of chronic patients with real-time care guideline recommendations, and that enables vital signs data to be transmitted between different devices automatically, using the Continua standard. Moreover, the proposed system adopts the episode mining approach to monitor/predict anomalous conditions of patients, and then offers related recommended care guidelines to caregivers so that they can offer preventive care in a timely manner.

  7. Smartparticipation a fuzzy-based recommender system for political community-building

    CERN Document Server

    Terán Tamayo, Luis Fernando

    2014-01-01

    In this book a fuzzy-based recommender system architecture for stimulating political participation and collaboration is proposed. It showcases the ""Smart Participation"" project, which uses the database of ""smart vote"", a well-known voting advice application (VAA) for local, cantonal and national elections in Switzerland. Additionally, an evaluation framework for e Participation is presented, which allows to analyze different projects and their development towards the enhancement of citizen's participation and empowerment. The book demonstrates the potential for building political communiti

  8. Evidence-based diabetes nutrition therapy recommendations are effective: the key is individualization

    OpenAIRE

    Franz, Marion J; Boucher, Jackie L; Evert, Alison B

    2014-01-01

    Marion J Franz,1 Jackie L Boucher,2 Alison B Evert3 1Nutrition Concepts by Franz, Inc., Minneapolis, MN, 2Minneapolis Heart Institute Foundation, Minneapolis, MN, 3Diabetes Care Center, University of Washington Medical Center, Seattle, WA, USA Abstract: Current nutrition therapy recommendations for the prevention and treatment of diabetes are based on a systematic review of evidence and answer important nutrition care questions. First, is diabetes nutrition therapy effective? Clinical trials...

  9. Topical therapies in the management of chronic rhinosinusitis: an evidence-based review with recommendations.

    Science.gov (United States)

    Rudmik, Luke; Hoy, Monica; Schlosser, Rodney J; Harvey, Richard J; Welch, Kevin C; Lund, Valerie; Smith, Timothy L

    2013-04-01

    Topical therapies have become an integral component in the management plan for chronic rhinosinusitis (CRS). Several topical therapy strategies have been evaluated, but a formal comprehensive evaluation of the evidence has never been performed. The purpose of this article is to provide an evidence-based approach for the utilization of topical therapies in the management of CRS. A systematic review of the literature was performed and the guidelines for development of an evidence-based review with recommendations were followed. Study inclusion criteria were: adult population >18 years old; chronic rhinosinusitis (CRS) based on published diagnostic criteria; and clearly defined primary clinical end-point. We focused on reporting higher-quality studies (level 2b or higher), but reported on lower-level studies if the topic contained insufficient evidence. We excluded drug-eluting spacer and stent therapy from this review. This review identified and evaluated the literature on 5 topical therapy strategies for CRS: saline irrigation, topical steroid, topical antibiotic, topical antifungal, and topical alternatives (surfactant, manuka honey, and xylitol irrigations). Based on the available evidence, sinonasal saline irrigation and standard topical nasal steroid therapy are recommended in the topical treatment of CRS. Nonstandard (off-label) topical sinonasal steroid therapies can be an option for managing CRS. The evidence recommends against the use of topical antifungal therapy and topical antibiotic therapy delivered using nebulized and spray techniques in routine cases of CRS. There is insufficient clinical research to provide recommendations for alternative therapies or topical antibiotic therapy delivered using other delivery methods (eg, irrigations). © 2013 ARS-AAOA, LLC.

  10. A dual justification for science-based policy-making

    DEFF Research Database (Denmark)

    Pedersen, David Budtz

    2014-01-01

    Science-based policy-making has grown ever more important in recent years, in parallel with the dramatic increase in the complexity and uncertainty of the ways in which science and technology interact with society and economy at the national, regional and global level. Installing a proper framewo...

  11. Evidence-based ICT Policy for Development and Innovation | CRDI ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    Evidence-based ICT Policy for Development and Innovation. The cost of access to information and communication technologies (ITCs) in Africa remains the major impediment to the participation of Africans in the networked society. While Africa is the region with the fastest growing number of mobile phone subscribers in the ...

  12. Item Anomaly Detection Based on Dynamic Partition for Time Series in Recommender Systems.

    Science.gov (United States)

    Gao, Min; Tian, Renli; Wen, Junhao; Xiong, Qingyu; Ling, Bin; Yang, Linda

    2015-01-01

    In recent years, recommender systems have become an effective method to process information overload. However, recommendation technology still suffers from many problems. One of the problems is shilling attacks-attackers inject spam user profiles to disturb the list of recommendation items. There are two characteristics of all types of shilling attacks: 1) Item abnormality: The rating of target items is always maximum or minimum; and 2) Attack promptness: It takes only a very short period time to inject attack profiles. Some papers have proposed item anomaly detection methods based on these two characteristics, but their detection rate, false alarm rate, and universality need to be further improved. To solve these problems, this paper proposes an item anomaly detection method based on dynamic partitioning for time series. This method first dynamically partitions item-rating time series based on important points. Then, we use chi square distribution (χ2) to detect abnormal intervals. The experimental results on MovieLens 100K and 1M indicate that this approach has a high detection rate and a low false alarm rate and is stable toward different attack models and filler sizes.

  13. Item Anomaly Detection Based on Dynamic Partition for Time Series in Recommender Systems

    Science.gov (United States)

    Gao, Min; Tian, Renli; Wen, Junhao; Xiong, Qingyu; Ling, Bin; Yang, Linda

    2015-01-01

    In recent years, recommender systems have become an effective method to process information overload. However, recommendation technology still suffers from many problems. One of the problems is shilling attacks-attackers inject spam user profiles to disturb the list of recommendation items. There are two characteristics of all types of shilling attacks: 1) Item abnormality: The rating of target items is always maximum or minimum; and 2) Attack promptness: It takes only a very short period time to inject attack profiles. Some papers have proposed item anomaly detection methods based on these two characteristics, but their detection rate, false alarm rate, and universality need to be further improved. To solve these problems, this paper proposes an item anomaly detection method based on dynamic partitioning for time series. This method first dynamically partitions item-rating time series based on important points. Then, we use chi square distribution (χ2) to detect abnormal intervals. The experimental results on MovieLens 100K and 1M indicate that this approach has a high detection rate and a low false alarm rate and is stable toward different attack models and filler sizes. PMID:26267477

  14. Classification and Clinical Diagnosis of Fibromyalgia Syndrome: Recommendations of Recent Evidence-Based Interdisciplinary Guidelines

    Directory of Open Access Journals (Sweden)

    Mary-Ann Fitzcharles

    2013-01-01

    Full Text Available Objectives. Fibromyalgia syndrome (FMS, characterized by subjective complaints without physical or biomarker abnormality, courts controversy. Recommendations in recent guidelines addressing classification and diagnosis were examined for consistencies or differences. Methods. Systematic searches from January 2008 to February 2013 of the US-American National Guideline Clearing House, the Scottish Intercollegiate Guidelines Network, Guidelines International Network, and Medline for evidence-based guidelines for the management of FMS were conducted. Results. Three evidence-based interdisciplinary guidelines, independently developed in Canada, Germany, and Israel, recommended that FMS can be clinically diagnosed by a typical cluster of symptoms following a defined evaluation including history, physical examination, and selected laboratory tests, to exclude another somatic disease. Specialist referral is only recommended when some other physical or mental illness is reasonably suspected. The diagnosis can be based on the (modified preliminary American College of Rheumatology (ACR 2010 diagnostic criteria. Discussion. Guidelines from three continents showed remarkable consistency regarding the clinical concept of FMS, acknowledging that FMS is neither a distinct rheumatic nor mental disorder, but rather a cluster of symptoms, not explained by another somatic disease. While FMS remains an integral part of rheumatology, it is not an exclusive rheumatic condition and spans a broad range of medical disciplines.

  15. Development of an evidence-based review with recommendations using an online iterative process.

    Science.gov (United States)

    Rudmik, Luke; Smith, Timothy L

    2011-01-01

    The practice of modern medicine is governed by evidence-based principles. Due to the plethora of medical literature, clinicians often rely on systematic reviews and clinical guidelines to summarize the evidence and provide best practices. Implementation of an evidence-based clinical approach can minimize variation in health care delivery and optimize the quality of patient care. This article reports a method for developing an "Evidence-based Review with Recommendations" using an online iterative process. The manuscript describes the following steps involved in this process: Clinical topic selection, Evidence-hased review assignment, Literature review and initial manuscript preparation, Iterative review process with author selection, and Manuscript finalization. The goal of this article is to improve efficiency and increase the production of evidence-based reviews while maintaining the high quality and transparency associated with the rigorous methodology utilized for clinical guideline development. With the rise of evidence-based medicine, most medical and surgical specialties have an abundance of clinical topics which would benefit from a formal evidence-based review. Although clinical guideline development is an important methodology, the associated challenges limit development to only the absolute highest priority clinical topics. As outlined in this article, the online iterative approach to the development of an Evidence-based Review with Recommendations may improve productivity without compromising the quality associated with formal guideline development methodology. Copyright © 2011 American Rhinologic Society-American Academy of Otolaryngic Allergy, LLC.

  16. Thyroid Blocking Policy in Hungary and Clarification of Terminology in the Light of Recommendations by International Organisations

    International Nuclear Information System (INIS)

    Turai, Istvan

    2016-01-01

    The ambiguous terminology 'Iodine Prophylaxis' used for decades to provide iodine to the population for very different purposes as well as its replacement with 'Iodine Thyroid Blocking' is discussed and argued. Recommendations of international organisations regarding the action level for Iodine Thyroid Blocking and their implementation in national regulations in a few Member States of the European Union, and particularly in Hungary, is presented and discussed. (author)

  17. PROSPECTS OF THE REGIONAL INTEGRATION POLICY BASED ON CLUSTER FORMATION

    Directory of Open Access Journals (Sweden)

    Elena Tsepilova

    2018-01-01

    Full Text Available The purpose of this article is to develop the theoretical foundations of regional integration policy and to determine its prospects on the basis of cluster formation. The authors use such research methods as systematization, comparative and complex analysis, synthesis, statistical method. Within the framework of the research, the concept of regional integration policy is specified, and its integration core – cluster – is allocated. The authors work out an algorithm of regional clustering, which will ensure the growth of economy and tax income. Measures have been proposed to optimize the organizational mechanism of interaction between the participants of the territorial cluster and the authorities that allow to ensure the effective functioning of clusters, including taxation clusters. Based on the results of studying the existing methods for assessing the effectiveness of cluster policy, the authors propose their own approach to evaluating the consequences of implementing the regional integration policy, according to which the list of quantitative and qualitative indicators is defined. The present article systematizes the experience and results of the cluster policy of certain European countries, that made it possible to determine the prospects and synergetic effect from the development of clusters as an integration foundation of regional policy in the Russian Federation. The authors carry out the analysis of activity of cluster formations using the example of the Rostov region – a leader in the formation of conditions for the cluster policy development in the Southern Federal District. 11 clusters and cluster initiatives are developing in this region. As a result, the authors propose measures for support of the already existing clusters and creation of the new ones.

  18. Trialling nutrient recommendations for slow lorises (Nycticebus spp.) based on wild feeding ecology.

    Science.gov (United States)

    Cabana, F; Dierenfeld, E; Wirdateti, W; Donati, G; Nekaris, K A I

    2018-02-01

    Slow loris (Nycticebus spp.) captive diets have been based on routine and anecdotes rather than scientific fact. The growing body of evidence contradicts the high fruit diet supported by such anecdotes. Non-human primate nutrient requirements are grouped into new (based on the common marmoset Callithrix jacchus) or old world (based on rhesus macaques Macaca mulatta) primates. Slow lorises are known to suffer from many health ailments in captivity such as dental disease, obesity, wasting and kidney issues all of which have been linked to diet. This study aimed to estimate nutrient intake from free-ranging slow lorises and to determine whether this intake can be used as nutrient recommendations. We collected data of nutrient intake, food passage rate and digestibility of captive slow lorises on three diet treatments 1: current captive type diet which is mostly fruits, 2: wild-type diet made only of food items from their natural diet, 3: new diet made to reflect wild slow loris nutrient intake. In order to validate our nutrient recommendations, diets 2 and 3 would have to be significantly different to Diet 1 in terms of nutrients, but not different from each other. Captive diets were significantly higher in soluble carbohydrates and lower in minerals and fibre fractions than both diets 2 and 3. Diets 2 and 3 led to a significantly increased food passage time and to more effective fibre and calcium digestion compared to Diet 1. We also observed obese individuals lost weight and underweight individuals gained weight. Our nutrient recommendations have been validated by our trials, and new or old world monkey nutrient recommendations are not consistent with our results. Diets should be high in protein and fibre and low in soluble carbohydrates and fats. © 2017 Blackwell Verlag GmbH.

  19. The East Asian Development Experience: Policy Lessons, Implications, and Recommendations for Sub-Saharan Africa (SSA) Global Competitiveness

    OpenAIRE

    Ashford C. Chea

    2012-01-01

    The paper looks at the development experience of East Asia and draws lessons for Sub-Saharan Africa in building global competitiveness. It starts with a historical perspective of both regions’ developmental trajectories. This is followed by an analysis of the causes of East Asia’s superior economic performance and development and SSA underdevelopment. The article also draws policy lessons from East Asia development strategies for SSA global competitiveness. The paper ends with a presentation ...

  20. Economic evaluation on tight sandstone gas development projects in China and recommendation on fiscal and taxation support policies

    OpenAIRE

    Zhen Yang; Lingfeng Kong; Min Du; Chenhui Zhao

    2016-01-01

    China is rich in tight sandstone gas resources (“tight gas” for short). For example, the Sulige Gasfield in the Ordos Basin and the Upper Triassic Xujiahe Fm gas reservoir in the Sichuan Basin are typical tight gas reservoirs. In the past decade, tight gas reserve and production both have increased rapidly in China, but tight gas reservoirs are always managed as conventional gas reservoirs without effective fiscal, taxation and policy supports. The potential of sustainable tight gas productio...

  1. Speaking out on safe sleep: evidence-based infant sleep recommendations.

    Science.gov (United States)

    Bartick, Melissa; Smith, Linda J

    2014-11-01

    The American Academy of Pediatrics (AAP) issued recommendations in 2005 and 2011 to reduce sleep-related infant death, which advise against all bedsharing for sleep. These recommendations overemphasize the risks of bedsharing, and this overemphasis has serious unintended consequences. It may result in increased deaths on sofas as tired parents try to avoid feeding their infants in bed. Current evidence shows that other risks are far more potent, such as smoking, shared sleep on sofas, sleeping next to impaired caregivers, and formula feeding. The emphasis on separate sleep is diverting resources away from addressing these critical risk factors. Recommendations to avoid bedsharing may also interfere with breastfeeding. We examine both the evidence behind the AAP recommendations and the evidence omitted from those recommendations. We conclude that the only evidence-based universal advice to date is that sofas are hazardous places for adults to sleep with infants; that exposure to smoke, both prenatal and postnatal, increases the risk of death; and that sleeping next to an impaired caregiver increases the risk of death. No sleep environment is completely safe. Public health efforts must address the reality that tired parents must feed their infants at night somewhere and that sofas are highly risky places for parents to fall asleep with their infants, especially if parents are smokers or under the influence of alcohol or drugs. All messaging must be crafted and reevaluated to avoid unintended negative consequences, including impact on breastfeeding rates, or falling asleep in more dangerous situations than parental beds. We must realign our resources to focus on the greater risk factors, and that may include greater investment in smoking cessation and doing away with aggressive formula marketing. This includes eliminating conflicts of interest between formula marketing companies and organizations dedicated to the health of children.

  2. INVESTIGATION OF FISCAL AND BUDGETARY POLICIES BASED ON ECONOMIC THEORIES

    Directory of Open Access Journals (Sweden)

    EMILIA CAMPEANU

    2011-04-01

    Full Text Available Empirical analysis of fiscal and budgetary policies cannot be achieved without first knowing how they are viewed in the economic theories. This approach is important to indicate the position and implications of fiscal and budgetary policy tools in the economic theory considering their major differences. Therefore, the paper aims is to investigate the fiscal and budgetary policies based on economic theories such as neoclassical, Keynesian and neo-Keynesian theory in order to indicate their divergent points. Once known these approaches at the economic theory level is easier to establish the appropriate measures taking into consideration the framing of a country economy in a certain pattern. This work was supported from the European Social Fund through Sectoral Operational Programme Human Resources Development 2007-2013, project number POSDRU/89/1.5/S/59184 „Performance and excellence in postdoctoral research in Romanian economics science domain” (contract no. 0501/01.11.2010.

  3. Evidence-based medicine - an appropriate tool for evidence-based health policy? A case study from Norway.

    Science.gov (United States)

    Malterud, Kirsti; Bjelland, Anne Karen; Elvbakken, Kari Tove

    2016-03-05

    Evidence-based policy (EBP), a concept modelled on the principles of evidence-based medicine (EBM), is widely used in different areas of policymaking. Systematic reviews (SRs) with meta-analyses gradually became the methods of choice for synthesizing research evidence about interventions and judgements about quality of evidence and strength of recommendations. Critics have argued that the relation between research evidence and service policies is weak, and that the notion of EBP rests on a misunderstanding of policy processes. Having explored EBM standards and knowledge requirements for health policy decision-making, we present an empirical point of departure for discussing the relationship between EBM and EBP. In a case study exploring the Norwegian Knowledge Centre for the Health Services (NOKC), an independent government unit, we first searched for information about the background and development of the NOKC to establish a research context. We then identified, selected and organized official NOKC publications as an empirical sample of typical top-of-the-line knowledge delivery adhering to EBM standards. Finally, we explored conclusions in this type of publication, specifically addressing their potential as policy decision tools. From a total sample of 151 SRs published by the NOKC in the period 2004-2013, a purposive subsample from 2012 (14 publications) advised major caution about their conclusions because of the quality or relevance of the underlying documentation. Although the case study did not include a systematic investigation of uptake and policy consequences, SRs were found to be inappropriate as universal tools for health policy decision-making. The case study demonstrates that EBM is not necessarily suited to knowledge provision for every kind of policy decision-making. Our analysis raises the question of whether the evidence-based movement, represented here by an independent government organization, undertakes too broad a range of commissions using

  4. Shilling Attacks Detection in Recommender Systems Based on Target Item Analysis.

    Science.gov (United States)

    Zhou, Wei; Wen, Junhao; Koh, Yun Sing; Xiong, Qingyu; Gao, Min; Dobbie, Gillian; Alam, Shafiq

    2015-01-01

    Recommender systems are highly vulnerable to shilling attacks, both by individuals and groups. Attackers who introduce biased ratings in order to affect recommendations, have been shown to negatively affect collaborative filtering (CF) algorithms. Previous research focuses only on the differences between genuine profiles and attack profiles, ignoring the group characteristics in attack profiles. In this paper, we study the use of statistical metrics to detect rating patterns of attackers and group characteristics in attack profiles. Another question is that most existing detecting methods are model specific. Two metrics, Rating Deviation from Mean Agreement (RDMA) and Degree of Similarity with Top Neighbors (DegSim), are used for analyzing rating patterns between malicious profiles and genuine profiles in attack models. Building upon this, we also propose and evaluate a detection structure called RD-TIA for detecting shilling attacks in recommender systems using a statistical approach. In order to detect more complicated attack models, we propose a novel metric called DegSim' based on DegSim. The experimental results show that our detection model based on target item analysis is an effective approach for detecting shilling attacks.

  5. An Automatic User Grouping Model for a Group Recommender System in Location-Based Social Networks

    Directory of Open Access Journals (Sweden)

    Elahe Khazaei

    2018-02-01

    Full Text Available Spatial group recommendation refers to suggesting places to a given set of users. In a group recommender system, members of a group should have similar preferences in order to increase the level of satisfaction. Location-based social networks (LBSNs provide rich content, such as user interactions and location/event descriptions, which can be leveraged for group recommendations. In this paper, an automatic user grouping model is introduced that obtains information about users and their preferences through an LBSN. The preferences of the users, proximity of the places the users have visited in terms of spatial range, users’ free days, and the social relationships among users are extracted automatically from location histories and users’ profiles in the LBSN. These factors are combined to determine the similarities among users. The users are partitioned into groups based on these similarities. Group size is the key to coordinating group members and enhancing their satisfaction. Therefore, a modified k-medoids method is developed to cluster users into groups with specific sizes. To evaluate the efficiency of the proposed method, its mean intra-cluster distance and its distribution of cluster sizes are compared to those of general clustering algorithms. The results reveal that the proposed method compares favourably with general clustering approaches, such as k-medoids and spectral clustering, in separating users into groups of a specific size with a lower mean intra-cluster distance.

  6. Social Content Recommendation Based on Spatial-Temporal Aware Diffusion Modeling in Social Networks

    Directory of Open Access Journals (Sweden)

    Farman Ullah

    2016-09-01

    Full Text Available User interactions in online social networks (OSNs enable the spread of information and enhance the information dissemination process, but at the same time they exacerbate the information overload problem. In this paper, we propose a social content recommendation method based on spatial-temporal aware controlled information diffusion modeling in OSNs. Users interact more frequently when they are close to each other geographically, have similar behaviors, and fall into similar demographic categories. Considering these facts, we propose multicriteria-based social ties relationship and temporal-aware probabilistic information diffusion modeling for controlled information spread maximization in OSNs. The proposed social ties relationship modeling takes into account user spatial information, content trust, opinion similarity, and demographics. We suggest a ranking algorithm that considers the user ties strength with friends and friends-of-friends to rank users in OSNs and select highly influential injection nodes. These nodes are able to improve social content recommendations, minimize information diffusion time, and maximize information spread. Furthermore, the proposed temporal-aware probabilistic diffusion process categorizes the nodes and diffuses the recommended content to only those users who are highly influential and can enhance information dissemination. The experimental results show the effectiveness of the proposed scheme.

  7. Shilling Attacks Detection in Recommender Systems Based on Target Item Analysis

    Science.gov (United States)

    Zhou, Wei; Wen, Junhao; Koh, Yun Sing; Xiong, Qingyu; Gao, Min; Dobbie, Gillian; Alam, Shafiq

    2015-01-01

    Recommender systems are highly vulnerable to shilling attacks, both by individuals and groups. Attackers who introduce biased ratings in order to affect recommendations, have been shown to negatively affect collaborative filtering (CF) algorithms. Previous research focuses only on the differences between genuine profiles and attack profiles, ignoring the group characteristics in attack profiles. In this paper, we study the use of statistical metrics to detect rating patterns of attackers and group characteristics in attack profiles. Another question is that most existing detecting methods are model specific. Two metrics, Rating Deviation from Mean Agreement (RDMA) and Degree of Similarity with Top Neighbors (DegSim), are used for analyzing rating patterns between malicious profiles and genuine profiles in attack models. Building upon this, we also propose and evaluate a detection structure called RD-TIA for detecting shilling attacks in recommender systems using a statistical approach. In order to detect more complicated attack models, we propose a novel metric called DegSim’ based on DegSim. The experimental results show that our detection model based on target item analysis is an effective approach for detecting shilling attacks. PMID:26222882

  8. Core components for effective infection prevention and control programmes: new WHO evidence-based recommendations

    Directory of Open Access Journals (Sweden)

    Julie Storr

    2017-01-01

    Full Text Available Abstract Health care-associated infections (HAI are a major public health problem with a significant impact on morbidity, mortality and quality of life. They represent also an important economic burden to health systems worldwide. However, a large proportion of HAI are preventable through effective infection prevention and control (IPC measures. Improvements in IPC at the national and facility level are critical for the successful containment of antimicrobial resistance and the prevention of HAI, including outbreaks of highly transmissible diseases through high quality care within the context of universal health coverage. Given the limited availability of IPC evidence-based guidance and standards, the World Health Organization (WHO decided to prioritize the development of global recommendations on the core components of effective IPC programmes both at the national and acute health care facility level, based on systematic literature reviews and expert consensus. The aim of the guideline development process was to identify the evidence and evaluate its quality, consider patient values and preferences, resource implications, and the feasibility and acceptability of the recommendations. As a result, 11 recommendations and three good practice statements are presented here, including a summary of the supporting evidence, and form the substance of a new WHO IPC guideline.

  9. Report on RecSys 2015 Workshop on New Trends in Content-Based Recommender Systems (CBRecSys 2015)

    DEFF Research Database (Denmark)

    Bogers, Toine; Koolen, Marijn

    2016-01-01

    This article reports on the CBRecSys 2015 workshop, the second edition of the workshop on new trends in content-based recommender systems, co-located with RecSys 2015 in Vienna, Austria. Content-based recommendation has been applied successfully in many different domains, but it has not seen...... venue for work dedicated to all aspects of content-based recommender systems....... the same level of attention as collaborative filtering techniques have. Nevertheless, there are many recommendation domains and applications where content and metadata play a key role, either in addition to or instead of ratings and implicit usage data. The CBRecSys workshop series provides a dedicated...

  10. FDG PET/CT in cancer: comparison of actual use with literature-based recommendations

    Energy Technology Data Exchange (ETDEWEB)

    Petersen, Henrik; Johansen, Allan; Hoeilund-Carlsen, Poul Flemming [Odense University Hospital, Department of Nuclear Medicine, Odense C (Denmark); Holdgaard, Paw Christian [Vejle Hospital, Department of Nuclear Medicine, Vejle (Denmark); Madsen, Poul Henning [Vejle Hospital, Department of Medicine, Vejle (Denmark); Knudsen, Lene Meldgaard [Odense University Hospital, Department of Haematological, Odense (Denmark); Gad, Dorte; Gravergaard, Anders Eggert [Odense University Hospital, Department of Plastic Surgery, Odense (Denmark); Rohde, Max; Godballe, Christian [Odense University Hospital, Department of ORL Head and Neck Surgery, Odense (Denmark); Engelmann, Bodil Elisabeth [Naestved Sygehus, Department of Clinical Physiology and Nuclear Medicine, Naestved (Denmark); Bech, Karsten [Aabenraa Sygehus, Organ Centre, Aabenraa (Denmark); Teilmann-Joergensen, Dorte [Aabenraa Sygehus, Department of Gynaecoligcal and Obstetrics, Aabenraa (Denmark); Mogensen, Ole [Odense University Hospital, Department of Gynaecoligcal and Obstetrics, Odense (Denmark); Karstoft, Jens [Odense University Hospital, Department of Radiology, Odense (Denmark); Johansen, Joergen [Odense University Hospital, Department of Oncology, Odense (Denmark); Christensen, Janne Buck [Odense University Hospital, Department of Quality and Research/HTA, Odense (Denmark); Collaboration: on behalf of the PET/CT Task Force of the Region of Southern Denmark

    2016-04-15

    The Region of Southern Denmark (RSD), covering 1.2 of Denmark's 5.6 million inhabitants, established a task force to (1) retrieve literature evidence for the clinical use of positron emission tomography (PET)/CT and provide consequent recommendations and further to (2) compare the actual use of PET/CT in the RSD with these recommendations. This article summarizes the results. A Work Group appointed a professional Subgroup which made Clinician Groups conduct literature reviews on six selected cancers responsible for 5,768 (62.6 %) of 9,213 PET/CT scans in the RSD in 2012. Rapid Evidence Assessment was applied, using the methodology of systematic reviews with predefined limitations to search PubMed, Embase and the Cochrane Library for articles published in English/Danish/Swedish/Norwegian since 2002. PICO questions were defined, data recorded and quality appraised and rated with regard to strength and evidence level. Consequent recommendations for applications of PET/CT were established. The actual use of PET/CT was compared with these, where grades A and B indicated ''established'' and ''useful'' and grades C and D ''potentially useful'' and ''non-recommendable'' indications, respectively. Of 11,729 citations, 1,729 were considered for review, and 204 were included. The evidence suggested usefulness of PET/CT in lung, lymphoma, melanoma, head and neck, and colorectal cancers, whereas evidence was sparse in gynaecological cancers. The agreement between actual use of PET/CT and literature-based recommendations was high in the first five mentioned cancers in that 96.2 % of scans were made for grade A or B indications versus only 22.2 % in gynaecological cancers. Evidence-based usefulness was reported in five of six selected cancers; evidence was sparse in the sixth, gynaecological cancers. Actual use of PET/CT agreed well with recommendations. (orig.)

  11. Keyword Query Expansion Paradigm Based on Recommendation and Interpretation in Relational Databases

    Directory of Open Access Journals (Sweden)

    Yingqi Wang

    2017-01-01

    Full Text Available Due to the ambiguity and impreciseness of keyword query in relational databases, the research on keyword query expansion has attracted wide attention. Existing query expansion methods expose users’ query intention to a certain extent, but most of them cannot balance the precision and recall. To address this problem, a novel two-step query expansion approach is proposed based on query recommendation and query interpretation. First, a probabilistic recommendation algorithm is put forward by constructing a term similarity matrix and Viterbi model. Second, by using the translation algorithm of triples and construction algorithm of query subgraphs, query keywords are translated to query subgraphs with structural and semantic information. Finally, experimental results on a real-world dataset demonstrate the effectiveness and rationality of the proposed method.

  12. Automatic stress-relieving music recommendation system based on photoplethysmography-derived heart rate variability analysis.

    Science.gov (United States)

    Shin, Il-Hyung; Cha, Jaepyeong; Cheon, Gyeong Woo; Lee, Choonghee; Lee, Seung Yup; Yoon, Hyung-Jin; Kim, Hee Chan

    2014-01-01

    This paper presents an automatic stress-relieving music recommendation system (ASMRS) for individual music listeners. The ASMRS uses a portable, wireless photoplethysmography module with a finger-type sensor, and a program that translates heartbeat signals from the sensor to the stress index. The sympathovagal balance index (SVI) was calculated from heart rate variability to assess the user's stress levels while listening to music. Twenty-two healthy volunteers participated in the experiment. The results have shown that the participants' SVI values are highly correlated with their prespecified music preferences. The sensitivity and specificity of the favorable music classification also improved as the number of music repetitions increased to 20 times. Based on the SVI values, the system automatically recommends favorable music lists to relieve stress for individuals.

  13. Evidence-Based Recommendations for Optimizing Light in Day-to-Day Spaceflight Operations

    Science.gov (United States)

    Whitmire, Alexandra; Leveton, Lauren; Barger, Laura; Clark, Toni; Bollweg, Laura; Ohnesorge, Kristine; Brainard, George

    2015-01-01

    NASA Behavioral Health and Performance Element (BHP) personnel have previously reported on efforts to transition evidence-based recommendations for a flexible lighting system on the International Space Station (ISS). Based on these recommendations, beginning in 2016 the ISS will replace the current fluorescent-based lights with an LED-based system to optimize visual performance, facilitate circadian alignment, promote sleep, and hasten schedule shifting. Additional efforts related to lighting countermeasures in spaceflight operations have also been underway. As an example, a recent BHP research study led by investigators at Harvard Medical School and Brigham and Women's Hospital, evaluated the acceptability, feasibility, and effectiveness of blue-enriched light exposure during exercise breaks for flight controllers working the overnight shift in the Mission Control Center (MCC) at NASA Johnson Space Center. This effort, along with published laboratory studies that have demonstrated the effectiveness of appropriately timed light for promoting alertness, served as an impetus for new light options, and educational protocols for flight controllers. In addition, a separate set of guidelines related to the light emitted from electronic devices, were provided to the Astronaut Office this past year. These guidelines were based on an assessment led by NASA's Lighting Environment Test Facility that included measuring the spectral power distribution, irradiance, and radiance of light emitted from ISS-grade laptops and I-Pads, as well as Android devices. Evaluations were conducted with and without the use of off-the-shelf screen filters as well as a software application that touts minimizing the short-wave length of the visible light spectrum. This presentation will focus on the transition for operations process related to lighting countermeasures in the MCC, as well as the evidence to support recommendations for optimal use of laptops, I-Pads, and Android devices during all

  14. Adherence of Primary Care Physicians to Evidence-Based Recommendations to Reduce Ovarian Cancer Mortality

    Science.gov (United States)

    Stewart, Sherri L.; Townsend, Julie S.; Puckett, Mary C.; Rim, Sun Hee

    2017-01-01

    Ovarian cancer is the deadliest gynecologic cancer. Receipt of treatment from a gynecologic oncologist is an evidence-based recommendation to reduce mortality from the disease. We examined knowledge and application of this evidence-based recommendation in primary care physicians as part of CDC gynecologic cancer awareness campaign efforts and discussed results in the context of CDC National Comprehensive Cancer Control Program (NCCCP). We analyzed primary care physician responses to questions about how often they refer patients diagnosed with ovarian cancer to gynecologic oncologists, and reasons for lack of referral. We also analyzed these physicians’ knowledge of tests to help determine whether a gynecologic oncologist is needed for a planned surgery. The survey response rate was 52.2%. A total of 84% of primary care physicians (87% of family/general practitioners, 81% of internists and obstetrician/gynecologists) said they always referred patients to gynecologic oncologists for treatment. Common reasons for not always referring were patient preference or lack of gynecologic oncologists in the practice area. A total of 23% of primary care physicians had heard of the OVA1 test, which helps to determine whether gynecologic oncologist referral is needed. Although referral rates reported here are high, it is not clear whether ovarian cancer patients are actually seeing gynecologic oncologists for care. The NCCCP is undertaking several efforts to assist with this, including education of the recommendation among women and providers and assistance with treatment summaries and patient navigation toward appropriate treatment. Expansion of these efforts to all populations may help improve adherence to recommendations and reduce ovarian cancer mortality. PMID:26978124

  15. A study of concept-based similarity approaches for recommending program examples

    Science.gov (United States)

    Hosseini, Roya; Brusilovsky, Peter

    2017-07-01

    This paper investigates a range of concept-based example recommendation approaches that we developed to provide example-based problem-solving support in the domain of programming. The goal of these approaches is to offer students a set of most relevant remedial examples when they have trouble solving a code comprehension problem where students examine a program code to determine its output or the final value of a variable. In this paper, we use the ideas of semantic-level similarity-based linking developed in the area of intelligent hypertext to generate examples for the given problem. To determine the best-performing approach, we explored two groups of similarity approaches for selecting examples: non-structural approaches focusing on examples that are similar to the problem in terms of concept coverage and structural approaches focusing on examples that are similar to the problem by the structure of the content. We also explored the value of personalized example recommendation based on student's knowledge levels and learning goal of the exercise. The paper presents concept-based similarity approaches that we developed, explains the data collection studies and reports the result of comparative analysis. The results of our analysis showed better ranking performance of the personalized structural variant of cosine similarity approach.

  16. wayGoo recommender system: personalized recommendations for events scheduling, based on static and real-time information

    Science.gov (United States)

    Thanos, Konstantinos-Georgios; Thomopoulos, Stelios C. A.

    2016-05-01

    wayGoo is a fully functional application whose main functionalities include content geolocation, event scheduling, and indoor navigation. However, significant information about events do not reach users' attention, either because of the size of this information or because some information comes from real - time data sources. The purpose of this work is to facilitate event management operations by prioritizing the presented events, based on users' interests using both, static and real - time data. Through the wayGoo interface, users select conceptual topics that are interesting for them. These topics constitute a browsing behavior vector which is used for learning users' interests implicitly, without being intrusive. Then, the system estimates user preferences and return an events list sorted from the most preferred one to the least. User preferences are modeled via a Naïve Bayesian Network which consists of: a) the `decision' random variable corresponding to users' decision on attending an event, b) the `distance' random variable, modeled by a linear regression that estimates the probability that the distance between a user and each event destination is not discouraging, ` the seat availability' random variable, modeled by a linear regression, which estimates the probability that the seat availability is encouraging d) and the `relevance' random variable, modeled by a clustering - based collaborative filtering, which determines the relevance of each event users' interests. Finally, experimental results show that the proposed system contribute essentially to assisting users in browsing and selecting events to attend.

  17. Sustainable development based energy policy making frameworks, a critical review

    International Nuclear Information System (INIS)

    Meyar-Naimi, H.; Vaez-Zadeh, S.

    2012-01-01

    This paper, in the first step, presents an overview of the origination and formulation of sustainable development (SD) concept and the related policy making frameworks. The frameworks include Pressure–State–Response (PSR), Driving Force–State–Response (DSR), Driving Force–Pressure–State–Impact–Response (DPSIR), Driving Force–Pressure–State–Effect–Action (DPSEA) and Driving Force-Pressure-State-Exposure-Effect-Action (DPSEEA). In this regard, 40 case studies using the reviewed frameworks reported during 1994–2011 are surveyed. Then, their application area and application intensity are investigated. It is concluded that PSR, and DPSEA and DPSEEA have the higher and lower application intensities, respectively. Moreover, using Analytical Hierarchy Process (AHP) with a set of criteria, it is shown that PSR and DPSIR have the highest and lowest priorities. Finally, the shortcomings of frameworks applications are discussed. The paper is helpful in selecting appropriate policy making frameworks and presents some hints for future research in the area for developing more comprehensive models especially for sustainable electric energy policy making. - Highlights: ► The origination and formulation of sustainable development (SD) concept is reviewed. ► SD based frameworks (PSR, DSR, DPSIR, DPSEA and DPSEEA) are also reviewed. ► Then, the frameworks application area and intensity in recent years are investigated. ► Finally, the SD concept and the SD based frameworks are criticized. ► It will be helpful for developing more comprehensive energy policy making models.

  18. Report on RecSys 2014 Workshop on New Trends in Content-Based Recommender Systems (CBRecSys 2014)

    DEFF Research Database (Denmark)

    Bogers, Toine; Koolen, Marijn; Cantádor, Ivan

    2015-01-01

    While content-based recommendation has been applied successfully in many different domains, it has not seen the same level of attention as collaborative filtering techniques have. However, there are many recommendation domains and applications where content and metadata play a key role, either in...... these data sources should be combined to provided the best recommendation performance. The CBRecSys 2014 workshop aimed to address this by providing a dedicated venue for papers dedicated to all aspects of content-based recommender systems.......While content-based recommendation has been applied successfully in many different domains, it has not seen the same level of attention as collaborative filtering techniques have. However, there are many recommendation domains and applications where content and metadata play a key role, either...

  19. OARSI recommended performance-based tests to assess physical function in people diagnosed with hip or knee osteoarthritis

    DEFF Research Database (Denmark)

    Dobson, F; Hinman, R S; Roos, Ewa M.

    2013-01-01

    To recommend a consensus-derived set of performance-based tests of physical function for use in people diagnosed with hip or knee osteoarthritis (OA) or following joint replacement.......To recommend a consensus-derived set of performance-based tests of physical function for use in people diagnosed with hip or knee osteoarthritis (OA) or following joint replacement....

  20. European Federation of Organisations for Medical Physics (EFOMP) policy statement 12.1: Recommendations on medical physics education and training in Europe 2014.

    Science.gov (United States)

    Caruana, C J; Christofides, S; Hartmann, G H

    2014-09-01

    In 2010, EFOMP issued Policy Statement No. 12: "The present status of Medical Physics Education and Training in Europe. New perspectives and EFOMP recommendations" to be applied to education and training in Medical Physics within the context of the developments in the European Higher Education Area arising from the Bologna Declaration and with a view to facilitate the free movement of Medical Physics professionals within Europe. Concurrently, new recommendations regarding qualifications frameworks were published by the European Parliament and Council which introduced new terminology and a new qualifications framework - the European Qualifications Framework (EQF) for lifelong learning. In addition, a new European directive involving the medical use of ionizing radiations and set to replace previous directives in this area was in the process of development. This has now been realized as Council Directive 2013/59/Euratom of 5 December 2013 which has repealed directive 97/43/Euratom. In this regard, a new document was developed in the context of the EC financed project "European Guidelines on the Medical Physics Expert" and published as RP174. Among other items, these guidelines refer to the mission statement, key activities, qualification framework and curricula for the specialty areas of Medical Physics relating to radiological devices and protection from ionizing radiation. These developments have made necessary an update of PS12; this policy statement provides the necessary update. Copyright © 2014. Published by Elsevier Ltd.

  1. Polybrominated diphenyl ethers (PBDEs) in China: policies and recommendations for sound management of plastics from electronic wastes.

    Science.gov (United States)

    Ni, Kun; Lu, Yonglong; Wang, Tieyu; Shi, Yajuan; Kannan, Kurunthachalam; Xu, Li; Li, Qiushuang; Liu, Shijie

    2013-01-30

    Polybrominated diphenyl ethers (PBDEs), used as flame retardants (BFRs), are incorporated in plastics of most electronic equipment. Among BFR mixtures, deca-BDE is the most widely used commercial additive in the polymer industry and the use of deca-BDE is currently not subject to any restrictions in China. However, debate over environmental and health risks associated with deca-BDE still remains. Regulatory agencies in developed countries have adopted and/or established environmentally sound strategies for the management of potential threat posed by PBDEs to the environment and human health. No regulations or management policies for PBDEs currently exist in China at either central or provincial government levels. Large amounts of plastics containing PBDEs are still in use and must be disposed of after their lifetimes, creating outdoor reservoirs for the future dispersal of PBDEs into the environment. Concerted action is needed not only to regulate the production and use of PBDEs but also to find ways to effectively manage waste electrical and electronic products that contain PBDEs. This article is the first to investigate the policy issues and current problems related to the use of PBDEs in China. In addition, we estimate the mass flows of PBDEs contained in Waste Electrical and Electronic Equipment (WEEE) in China. We suggest alternatives to PBDEs and sound management of plastics used in electrical and electronic equipment (EEE) that contain PBDEs. Copyright © 2012 Elsevier Ltd. All rights reserved.

  2. FUZZY LOGIC BASED HYBRID RECOMMENDER OF MAXIMUM YIELD CROP USING SOIL, WEATHER AND COST

    Directory of Open Access Journals (Sweden)

    U Aadithya

    2016-07-01

    Full Text Available Our system is designed to predict best suitable crops for the region of farmer. It also suggests farming strategies for the crops such as mixed cropping, spacing, irrigation, seed treatment, etc. along with fertilizer and pesticide suggestions. This is done based on the historic soil parameters of the region and by predicting cost of crops and weather. The system is based on fuzzy logic which gets input from an Artificial Neural Network (ANN based weather prediction module. An Agricultural Named Entity Recognition (NER module is developed using Conditional Random Field (CRF to extract crop conditions data. Further, cost prediction is done based on Linear Regression equation to aid in ranking the crops recommended. Using this approach we achieved an F-Score of 54% with a precision of 77% thus accounting for the correctness of crop production.

  3. Six recommendations for a bio-based economy in the Netherlands

    International Nuclear Information System (INIS)

    Van der Hoeven, D.

    2009-03-01

    The Bio-based Raw Materials Platform (PGG), part of the Energy Transition in The Netherlands, commissioned the Agricultural Economics Research Institute (LEI) and the Copernicus Institute of Utrecht University to conduct research on the macro-economic impact of large scale deployment of biomass for energy and materials in the Netherlands. Two model approaches were applied based on a consistent set of scenario assumptions: a bottom-up study including technoeconomic projections of fossil and bio-based conversion technologies and a topdown study including macro-economic modelling of (global) trade of biomass and fossil resources. The results of the top-down and bottom-up modelling work are reported separately. Based on the results of the studies the platform formulated six recommendations [nl

  4. Open pneumothorax: the spectrum and outcome of management based on Advanced Trauma Life Support recommendations.

    Science.gov (United States)

    Kong, V Y; Liu, M; Sartorius, B; Clarke, D L

    2015-08-01

    The current management of open pneumothorax (OPTX) is based on Advanced Trauma Life Support (ATLS) recommendations and consists of the application of a three-way occlusive dressing, followed by intercostal chest drain insertion. Very little is known regarding the spectrum and outcome of this approach, especially in the civilian setting. We conducted a retrospective review of 58 consecutive patients with OPTX over a four-year period managed in a high volume metropolitan trauma service in South Africa. Of the 58 patients included, 95% (55/58) were male, and the mean age for all patients was 21 years. Ninety-seven percent of all injuries were inflicted by knives and the remaining 3% (2/58) of injuries were inflicted by unknown weapons. 59% of injuries were left sided. In six patients (10%) a protocol violation was present in their management. Five of the six patients (83%) in whom protocol violation occurred developed a life-threatening event (tension PTX) compared to none amongst those where the protocol was followed (p < 0.001). There was no mortality as a direct result of management of OPTX following ATLS recommendations. ATLS recommendations for OPTX are safe and effective. Any deviation from this standard practice is associated with avoidable morbidity and potential mortality.

  5. CodeRAnts: A recommendation method based on collaborative searching and ant colonies, applied to reusing of open source code

    Directory of Open Access Journals (Sweden)

    Isaac Caicedo-Castro

    2014-01-01

    Full Text Available This paper presents CodeRAnts, a new recommendation method based on a collaborative searching technique and inspired on the ant colony metaphor. This method aims to fill the gap in the current state of the matter regarding recommender systems for software reuse, for which prior works present two problems. The first is that, recommender systems based on these works cannot learn from the collaboration of programmers and second, outcomes of assessments carried out on these systems present low precision measures and recall and in some of these systems, these metrics have not been evaluated. The work presented in this paper contributes a recommendation method, which solves these problems.

  6. [Isolated primary nocturnal enuresis: international evidence based management. Consensus recommendations by French expert group].

    Science.gov (United States)

    Aubert, D; Berard, E; Blanc, J-P; Lenoir, G; Liard, F; Lottmann, H

    2010-05-01

    The causes and treatment of isolated primary nocturnal enuresis (PNE) are the subject of ongoing controversy. We are proposing consensus practical recommendations, based on a formalised analysis of the literature and validated by a large panel of experts. A task force of six experts based its work on the guide for literature analysis and recommendations and recommendation grading of the French Haute Autorité de Santé (formalized consensus process methodological guidelines) to evaluate the level of scientific proof (grade of 1 to 4) and the strength of the recommendations (grade A, B, C) of the publications on PNE. As a result of this, 223 articles from 2003 on were identified, of which only 127 (57 %) have an evaluable level of proof. This evaluation was then reviewed by a 19-member rating group. Several recommendations, poorly defined by the literature, had to be proposed by a professional agreement resulting from a consultation between the members of the task force and those of the rating group. For its final validation, the document was submitted to a reading group of 21 members working in a wide range of specialist areas and practices but all involved in PNE. The definition of PNE is very specific: intermittent incontinence during sleep, from the age of 5, with no continuous period of continence longer than 6 months, with no other associated symptom, particularly during the day. Its diagnosis is clinical by the exclusion of all other urinary pathologies. Two factors must be identified during the consultation: nocturnal polyuria promoted by excessive fluid intake, inverse secretion of vasopressin, snoring and sleep apnoea. It is sensitive to desmopressin; small bladder capacity evaluated according to a voiding diary and the ICCS formula. It may be associated with diurnal hyperactivity of the detrusor (30 %). It is resistant to desmopressin. Problems associated with PNE are: abnormal arousal threshold, attention deficit hyperactivity disorder (ADHD) (10 %), low

  7. Appraisal of literature reviews on end-of-life care for minority ethnic groups in the UK and a critical comparison with policy recommendations from the UK end-of-life care strategy

    Directory of Open Access Journals (Sweden)

    Pool Robert

    2011-06-01

    Full Text Available Abstract Background Evidence of low end-of-life (EoL care service use by minority ethnic groups in the UK has given rise to a body of research and a number of reviews of the literature. This article aims to review and evaluate literature reviews on minority ethnic groups and EoL care in the UK and assess their suitability as an evidence base for policy. Methods Systematic review. Searches were carried out in thirteen electronic databases, eight journals, reference lists, and grey literature. Reviews were included if they concerned minority ethnic groups and EoL care in the UK. Reviews were graded for quality and key themes identified. Results Thirteen reviews (2001-2009 met inclusion criteria. Seven took a systematic approach, of which four scored highly for methodological quality (a mean score of six, median seven. The majority of systematic reviews were therefore of a reasonable methodological quality. Most reviews were restricted by ethnic group, aspect of EoL care, or were broader reviews which reported relevant findings. Six key themes were identified. Conclusions A number of reviews were systematic and scored highly for methodological quality. These reviews provide a good reflection of the primary evidence and could be used to inform policy. The complexity and inter-relatedness of factors leading to low service use was recognised and reflected in reviews' recommendations for service improvement. Recommendations made in the UK End-of-Life Care Strategy were limited in comparison, and the Strategy's evidence base concerning minority ethnic groups was found to be narrow. Future policy should be embedded strongly in the evidence base to reflect the current literature and minimise bias.

  8. Appraisal of literature reviews on end-of-life care for minority ethnic groups in the UK and a critical comparison with policy recommendations from the UK end-of-life care strategy.

    Science.gov (United States)

    Evans, Natalie; Meñaca, Arantza; Andrew, Erin Vw; Koffman, Jonathan; Harding, Richard; Higginson, Irene J; Pool, Robert; Gysels, Marjolein

    2011-06-02

    Evidence of low end-of-life (EoL) care service use by minority ethnic groups in the UK has given rise to a body of research and a number of reviews of the literature. This article aims to review and evaluate literature reviews on minority ethnic groups and EoL care in the UK and assess their suitability as an evidence base for policy. Systematic review. Searches were carried out in thirteen electronic databases, eight journals, reference lists, and grey literature. Reviews were included if they concerned minority ethnic groups and EoL care in the UK. Reviews were graded for quality and key themes identified. Thirteen reviews (2001-2009) met inclusion criteria. Seven took a systematic approach, of which four scored highly for methodological quality (a mean score of six, median seven). The majority of systematic reviews were therefore of a reasonable methodological quality. Most reviews were restricted by ethnic group, aspect of EoL care, or were broader reviews which reported relevant findings. Six key themes were identified. A number of reviews were systematic and scored highly for methodological quality. These reviews provide a good reflection of the primary evidence and could be used to inform policy. The complexity and inter-relatedness of factors leading to low service use was recognised and reflected in reviews' recommendations for service improvement. Recommendations made in the UK End-of-Life Care Strategy were limited in comparison, and the Strategy's evidence base concerning minority ethnic groups was found to be narrow. Future policy should be embedded strongly in the evidence base to reflect the current literature and minimise bias.

  9. [Are nail polish, artificial nails and piercings allowed outside the surgical area?Recommendations for the perioperative policy].

    Science.gov (United States)

    Bucx, M J L; Krijtenburg, P; Scheffer, G J

    2017-01-01

    - An increasing number of patients wear nail polish, artificial nails or have piercings.- There is uncertainty about the perioperative management of these items, especially when located outside the surgical area.- In the majority of hospitals, patients are urged to remove these items preoperatively, under the assumption that they might cause problems.- Frequently, however, these items cannot be removed straightforwardly.- Nail polish and artificial nails only very rarely cause perioperative problems and therefore do not need to be removed pre-operatively.- The same applies to most piercings, except when located in or near the respiratory tract, if they have sharp endings or if they might cause problems as a result of the perioperative positioning of the patient.- Providing adequate information to the patient, knowledge about removal of these items and documentation of agreed arrangements are all important.- A national guideline concerning perioperative policy is urgently required.

  10. Recommendations on chemicals management policy and legislation in the framework of the Egyptian-German twinning project on hazardous substances and waste management.

    Science.gov (United States)

    Wagner, Burkhard O; Aziz, Elham Refaat Abdel; Schwetje, Anja; Shouk, Fatma Abou; Koch-Jugl, Juliane; Braedt, Michael; Choudhury, Keya; Weber, Roland

    2013-04-01

    The sustainable management of chemicals and their associated wastes-especially legacy stockpiles-is always challenging. Developing countries face particular difficulties as they often have insufficient treatment and disposal capacity, have limited resources and many lack an appropriate and effective regulatory framework. This paper describes the objectives and the approach of the Egyptian-German Twinning Project under the European Neighbourhood Policy to improve the strategy of managing hazardous substances in the Egyptian Environmental Affairs Agency (EEAA) between November 2008 and May 2011. It also provides an introduction to the Republic of Egypt's legal and administrative system regarding chemical controls. Subsequently, options for a new chemical management strategy consistent with the recommendations of the United Nations Chemicals Conventions are proposed. The Egyptian legal and administrative system is discussed in relation to the United Nations' recommendations and current European Union legislation for the sound management of chemicals. We also discuss a strategy for the EEAA to use the existing Egyptian legal system to implement the United Nations' Globally Harmonized System of Classification and Labelling of Chemicals, the Stockholm Convention and other proposed regulatory frameworks. The analysis, the results, and the recommendations presented may be useful for other developing countries in a comparable position to Egypt aspiring to update their legislation and administration to the international standards of sound management of chemicals.

  11. A Framework for a Multi-Faceted, Educational, Knowledge-Based Recommender System

    Directory of Open Access Journals (Sweden)

    John W. Coffey

    2016-08-01

    Full Text Available The literature on intelligent or adaptive tutoring systems generally has a focus on how to determine what resources to present to students as they make their way through a course of study. The idea of multi-faceted student modeling is that a variety of measures, both academic and non-academic, might be represented in student models in service of a broader educational context. This paper contains a framework for a multi-faceted, educational, knowledge-based recommender system, including a basic set of descriptors that the model contains, and a taxonomy of inferences that might be made over such models.

  12. Model of Recommendation System for for Indexing and Retrieving the Learning Object based on Multiagent System

    Directory of Open Access Journals (Sweden)

    Ronaldo Lima Rocha Campos

    2012-07-01

    Full Text Available This paper proposes a multiagent system application model for indexing, retrieving and recommendation learning objects stored in different and heterogeneous repositories. The objects within these repositories are described by filled fields using different metadata standards. The searching mechanism covers several different learning object repositories and the same object can be described in these repositories by the use of different types of fields. Aiming to improve accuracy and coverage in terms of recovering a learning object and improve the signification of the results we propose an information retrieval model based on the multiagent system approach and an ontological model to describe the knowledge domain covered.

  13. Prehospital Care for the Adult and Pediatric Seizure Patient: Current Evidence Based Recommendations

    Directory of Open Access Journals (Sweden)

    Eric C. Silverman

    2017-04-01

    Full Text Available Introduction: We sought to develop evidence-based recommendations for the prehospital evaluation and treatment of adult and pediatric patients with a seizure and to compare these recommendations against the current protocol used by the 33 emergency medical services (EMS agencies in California. Methods: We performed a review of the evidence in the prehospital treatment of patients with a seizure, and then compared the seizure protocols of each of the 33 EMS agencies for consistency with these recommendations. We analyzed the type and route of medication administered, number of additional rescue doses permitted, and requirements for glucose testing prior to medication. The treatment for eclampsia and seizures in pediatric patients were analyzed separately. Results: Protocols across EMS Agencies in California varied widely. We identified multiple drugs, dosages, routes of administration, re-dosing instructions, and requirement for blood glucose testing prior to medication delivery. Blood glucose testing prior to benzodiazepine administration is required by 61% (20/33 of agencies for adult patients and 76% (25/33 for pediatric patients. All agencies have protocols for giving intramuscular benzodiazepines and 76% (25/33 have protocols for intranasal benzodiazepines. Intramuscular midazolam dosages ranged from 2 to 10 mg per single adult dose, 2 to 8 mg per single pediatric dose, and 0.1 to 0.2 mg/kg as a weight-based dose. Intranasal midazolam dosages ranged from 2 to 10 mg per single adult or pediatric dose, and 0.1 to 0.2 mg/kg as a weight-based dose. Intravenous/intrasosseous midazolam dosages ranged from 1 to 6 mg per single adult dose, 1 to 5 mg per single pediatric dose, and 0.05 to 0.1 mg/kg as a weight-based dose. Eclampsia is specifically addressed by 85% (28/33 of agencies. Forty-two percent (14/33 have a protocol for administering magnesium sulfate, with intravenous dosages ranging from 2 to 6 mg, and 58% (19/33 allow benzodiazepines to be

  14. Targeting Net Zero Energy at Marine Corps Base Kaneohe Bay, Hawaii: Assessment and Recommendations

    Energy Technology Data Exchange (ETDEWEB)

    Burman, K.; Kandt, A.; Lisell, L.; Booth, S.; Walker, A.; Roberts, J.; Falcey, J.

    2011-11-01

    DOD's U.S. Pacific Command has partnered with the U.S. Department of Energy's (DOE) National Renewable Energy Laboratory (NREL) to assess opportunities for increasing energy security through renewable energy and energy efficiency in Hawaii installations. NREL selected Marine Corps Base Hawaii (MCBH), Kaneohe Bay to receive technical support for net zero energy assessment and planning funded through the Hawaii Clean Energy Initiative (HCEI). NREL performed a comprehensive assessment to appraise the potential of MCBH Kaneohe Bay to achieve net zero energy status through energy efficiency, renewable energy, and electric vehicle integration. This report summarizes the results of the assessment and provides energy recommendations.

  15. A rapid place name locating algorithm based on ontology qualitative retrieval, ranking and recommendation

    Science.gov (United States)

    Fan, Hong; Zhu, Anfeng; Zhang, Weixia

    2015-12-01

    In order to meet the rapid positioning of 12315 complaints, aiming at the natural language expression of telephone complaints, a semantic retrieval framework is proposed which is based on natural language parsing and geographical names ontology reasoning. Among them, a search result ranking and recommended algorithms is proposed which is regarding both geo-name conceptual similarity and spatial geometry relation similarity. The experiments show that this method can assist the operator to quickly find location of 12,315 complaints, increased industry and commerce customer satisfaction.

  16. Assessing of energy policies based on Turkish agriculture:

    International Nuclear Information System (INIS)

    Sayin, Cengiz; Nisa Mencet, M.; Ozkan, Burhan

    2005-01-01

    In this study, the current energy status of Turkey and the effects of national energy policies on Turkish agricultural support policies are discussed for both current and future requirements. Turkey is an energy-importing country producing 30 mtoe (million tons of oil equivalent) energy but consuming 80 mtoe. The energy import ratio of Turkey is 65-70% and the majority of this import is based on petroleum and natural gas. Furthermore, while world energy demand increases by 1.8% annually, Turkey's energy demand increases by about 8%. Although energy consumption in agriculture is much lower than the other sectors in Turkey, energy use as both input and output of agricultural sector is a very important issue due to its large agricultural potential and rural area. Total agricultural land area is 27.8 million hectares and about 66.5% of this area is devoted for cereal production. On the other hand, Turkey has over 4 million agricultural farm holdings of which 70-75% is engaged in cereal production. Machinery expenses, mainly diesel, constitute 30-50% of total variable expenses in cereal production costs. It is observed that energy policies pursued in agriculture have been directly affected by diesel prices in Turkey. Therefore, support policy tools for using diesel and electricity in agriculture are being pursued by the Turkish government

  17. Evidence Based Weighing Policy during the First Week to Prevent Neonatal Hypernatremic Dehydration while Breastfeeding.

    Science.gov (United States)

    Boer, Suzanne; Unal, Sevim; van Wouwe, Jacobus P; van Dommelen, Paula

    2016-01-01

    Neonatal hypernatremic dehydration is prevented by daily neonatal weight monitoring. We aim to provide evidence-based support of this universally promoted weighing policy and to establish the most crucial days of weighing. Weight measurements of 2,359 healthy newborns and of 271 newborns with clinical hypernatremic dehydration were used within the first seven days of life to simulate various weighting policies to prevent hypernatremic dehydration; its sensitivity, specificity and positive predictive value (PPV) of these policies were calculated. Various referral criteria were also evaluated. A policy of daily weighing with a cut-off value of -2.5 Standard Deviation Score (SDS) on the growth chart for weight loss, had a 97.6% sensitivity, 97.6% specificity and a PPV of 2.80%. Weighing at birth and only at days two, four and seven with the same -2.5 SDS cut-off, resulted in 97.3% sensitivity, 98.5% specificity and a PPV of 4.43%. A weighing policy with measurements restricted to birth and day two, four and seven applying the -2.5 SDS cut-off seems an optimal policy to detect hypernatremic dehydration. Therefore we recommend to preferably weigh newborns at least on day two (i.e. ~48h), four and seven, and refer them to clinical pediatric care if their weight loss increases below -2.5 SDS. We also suggest lactation support for the mother, full clinical assessment of the infant and weighing again the following day in all newborns reaching a weight loss below -2.0 SDS.

  18. A study and analysis of recommendation systems for location-based social network (LBSN with big data

    Directory of Open Access Journals (Sweden)

    Murale Narayanan

    2016-03-01

    Full Text Available Recommender systems play an important role in our day-to-day life. A recommender system automatically suggests an item to a user that he/she might be interested in. Small-scale datasets are used to provide recommendations based on location, but in real time, the volume of data is large. We have selected Foursquare dataset to study the need for big data in recommendation systems for location-based social network (LBSN. A few quality parameters like parallel processing and multimodal interface have been selected to study the need for big data in recommender systems. This paper provides a study and analysis of quality parameters of recommendation systems for LBSN with big data.

  19. CROSS-DISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY: Diffusion-Based Recommendation in Collaborative Tagging Systems

    Science.gov (United States)

    Shang, Ming-Sheng; Zhang, Zi-Ke

    2009-11-01

    Recently, collaborative tagging systems have attracted more and more attention and have been widely applied in web systems. Tags provide highly abstracted information about personal preferences and item content, and therefore have the potential to help in improving better personalized recommendations. We propose a diffusion-based recommendation algorithm considering the personal vocabulary and evaluate it in a real-world dataset: Del.icio.us. Experimental results demonstrate that the usage of tag information can significantly improve the accuracy of personalized recommendations.

  20. Strengthening vaccination policies in Latin America: an evidence-based approach.

    Science.gov (United States)

    Tapia-Conyer, Roberto; Betancourt-Cravioto, Miguel; Saucedo-Martínez, Rodrigo; Motta-Murguía, Lourdes; Gallardo-Rincón, Héctor

    2013-08-20

    Despite many successes in the region, Latin American vaccination policies have significant shortcomings, and further work is needed to maintain progress and prepare for the introduction of newly available vaccines. In order to address the challenges facing Latin America, the Commission for the Future of Vaccines in Latin America (COFVAL) has made recommendations for strengthening evidence-based policy-making and reducing regional inequalities in immunisation. We have conducted a comprehensive literature review to assess the feasibility of these recommendations. Standardisation of performance indicators for disease burden, vaccine coverage, epidemiological surveillance and national health resourcing can ensure comparability of the data used to assess vaccination programmes, allowing deeper analysis of how best to provide services. Regional vaccination reference schemes, as used in Europe, can be used to develop best practice models for vaccine introduction and scheduling. Successful models exist for the continuous training of vaccination providers and decision-makers, with a new Latin American diploma aiming to contribute to the successful implementation of vaccination programmes. Permanent, independent vaccine advisory committees, based on the US Advisory Committee on Immunization Practices (ACIP), could facilitate the uptake of new vaccines and support evidence-based decision-making in the administration of national immunisation programmes. Innovative financing mechanisms for the purchase of new vaccines, such as advance market commitments and cost front-loading, have shown potential for improving vaccine coverage. A common regulatory framework for vaccine approval is needed to accelerate delivery and pool human, technological and scientific resources in the region. Finally, public-private partnerships between industry, government, academia and non-profit sectors could provide new investment to stimulate vaccine development in the region, reducing prices in the

  1. 18F-fluorodeoxyglucose positron emission tomography in restaging of colorectal cancer. Evidence-based recommendations and cost-effectiveness

    International Nuclear Information System (INIS)

    Dietlein, M.; Schicha, H.; Weber, W.; Schwaiger, M.

    2003-01-01

    Aim, method: Recommendations for the use of FDG-PET in relapsed colorectal cancer and the decision of reimbursement should base on published studies and on their level of evidence. Therefore, the PET-studies published between 1997 and 2002 were graded by the bias-criteria, by two rating-systems and by two classification-systems for the level of evidence according to AHCPR (Agency for Health Care Policy and Research) and VHA (Veterans Health Administration). Results: The recommendation for the use of PET in relapsed colorectal cancer reached the level IIa according to the AHCPR, corresponding to level B according to the VHA. The sensitivity and specificity of FDG-PET were 94% (95% CI: 91-96%) and 78% (95% CI: 69-86%), respectively. Staging was changed correctly in 27% of patients (95% CI: 24-30%). Staging by FDG-PET was incorrect in 4% of the patients (95% CI: 2-5%) compared with the conventionel methods. The additional use of PET changed the prospectively defined management plan for 34% of patients (95% CI: 31-38%). Either potentially curative operations were initiated in case of resectable tumour or futile operations were cancelled in case of multiple metastases. Conclusion: The 3-years-survival-rate following surgery would have exceeded 70% if the selection of patients had included an additional PET-examination. The correct selection of patients is requested in the daily routine as well as in the clinical implementation of neoadjuvant therapies to prevent a selection-bias from a suboptimal restaging without PET. (orig.) [de

  2. The health of homeless people in high-income countries: descriptive epidemiology, health consequences, and clinical and policy recommendations

    Science.gov (United States)

    Fazel, Seena; Geddes, John R; Kushel, Margot

    2015-01-01

    In the European Union, more than 400 000 individuals are homeless on any one night and more than 600 000 are homeless in the USA. The causes of homelessness are an interaction between individual and structural factors. Individual factors include poverty, family problems, and mental health and substance misuse problems. The availability of low-cost housing is thought to be the most important structural determinant for homelessness. Homeless people have higher rates of premature mortality than the rest of the population, especially from suicide and unintentional injuries, and an increased prevalence of a range of infectious diseases, mental disorders, and substance misuse. High rates of non-communicable diseases have also been described with evidence of accelerated ageing. Although engagement with health services and adherence to treatments is often compromised, homeless people typically attend the emergency department more often than non-homeless people. We discuss several recommendations to improve the surveillance of morbidity and mortality in homeless people. Programmes focused on high-risk groups, such as individuals leaving prisons, psychiatric hospitals, and the child welfare system, and the introduction of national and state-wide plans that target homeless people are likely to improve outcomes. PMID:25390578

  3. Detection of abnormal item based on time intervals for recommender systems.

    Science.gov (United States)

    Gao, Min; Yuan, Quan; Ling, Bin; Xiong, Qingyu

    2014-01-01

    With the rapid development of e-business, personalized recommendation has become core competence for enterprises to gain profits and improve customer satisfaction. Although collaborative filtering is the most successful approach for building a recommender system, it suffers from "shilling" attacks. In recent years, the research on shilling attacks has been greatly improved. However, the approaches suffer from serious problem in attack model dependency and high computational cost. To solve the problem, an approach for the detection of abnormal item is proposed in this paper. In the paper, two common features of all attack models are analyzed at first. A revised bottom-up discretized approach is then proposed based on time intervals and the features for the detection. The distributions of ratings in different time intervals are compared to detect anomaly based on the calculation of chi square distribution (χ(2)). We evaluated our approach on four types of items which are defined according to the life cycles of these items. The experimental results show that the proposed approach achieves a high detection rate with low computational cost when the number of attack profiles is more than 15. It improves the efficiency in shilling attacks detection by narrowing down the suspicious users.

  4. Internal Quality Control Practices in Coagulation Laboratories: recommendations based on a patterns-of-practice survey.

    Science.gov (United States)

    McFarlane, A; Aslan, B; Raby, A; Moffat, K A; Selby, R; Padmore, R

    2015-12-01

    Internal quality control (IQC) procedures are crucial for ensuring accurate patient test results. The IQMH Centre for Proficiency Testing conducted a web-based survey to gather information on the current IQC practices in coagulation testing. A questionnaire was distributed to 174 Ontario laboratories licensed to perform prothrombin time (PT) and activated partial thromboplastin time (APTT). All laboratories reported using two levels of commercial QC (CQC); 12% incorporate pooled patient plasma into their IQC program; >68% run CQC at the beginning of each shift; 56% following maintenance, with reagent changes, during a shift, or with every repeat sample; 6% only run CQC at the beginning of the day and 25% when the instruments have been idle for a defined period of time. IQC run frequency was determined by manufacturer recommendations (71%) but also influenced by the stability of test (27%), clinical impact of an incorrect test result (25%), and sample's batch number (10%). IQC was monitored using preset limits based on standard deviation (66%), precision goals (46%), or allowable performance limits (36%). 95% use multirules. Failure actions include repeating the IQC (90%) and reporting patient results; if repeat passes, 42% perform repeat analysis of all patient samples from last acceptable IQC. Variability exists in coagulation IQC practices among Ontario clinical laboratories. The recommendations presented here would be useful in encouraging standardized IQC practices. © 2015 John Wiley & Sons Ltd.

  5. Detection of Abnormal Item Based on Time Intervals for Recommender Systems

    Directory of Open Access Journals (Sweden)

    Min Gao

    2014-01-01

    Full Text Available With the rapid development of e-business, personalized recommendation has become core competence for enterprises to gain profits and improve customer satisfaction. Although collaborative filtering is the most successful approach for building a recommender system, it suffers from “shilling” attacks. In recent years, the research on shilling attacks has been greatly improved. However, the approaches suffer from serious problem in attack model dependency and high computational cost. To solve the problem, an approach for the detection of abnormal item is proposed in this paper. In the paper, two common features of all attack models are analyzed at first. A revised bottom-up discretized approach is then proposed based on time intervals and the features for the detection. The distributions of ratings in different time intervals are compared to detect anomaly based on the calculation of chi square distribution (χ2. We evaluated our approach on four types of items which are defined according to the life cycles of these items. The experimental results show that the proposed approach achieves a high detection rate with low computational cost when the number of attack profiles is more than 15. It improves the efficiency in shilling attacks detection by narrowing down the suspicious users.

  6. Fuzzy prototype classifier based on items and its application in recommender system

    Directory of Open Access Journals (Sweden)

    Mei Cai

    2017-01-01

    Full Text Available Currently, recommender systems (RS are incorporating implicit information from social circle of the Internet. The implicit social information in human mind is not easy to reflect in appropriate decision making techniques. This paper consists of 2 contributions. First, we develop an item-based prototype classifier (IPC in which a prototype represents a social circlers preferences as a pattern classification technique. We assume the social circle which distinguishes with others by the items their members like. The prototype structure of the classifier is defined by two2-dimensional matrices. We use information gain and OWA aggregator to construct a feature space. The item-based classifier assigns a new item to some prototypes with different prototypicalities. We reform a typical data setmIris data set in UCI Machine Learning Repository to verify our fuzzy prototype classifier. The second proposition of this paper is to give the application of IPC in recommender system to solve new item cold-start problems. We modify the dataset of MovieLens to perform experimental demonstrations of the proposed ideas.

  7. Maximum Recommended Dosage of Lithium for Pregnant Women Based on a PBPK Model for Lithium Absorption

    Directory of Open Access Journals (Sweden)

    Scott Horton

    2012-01-01

    Full Text Available Treatment of bipolar disorder with lithium therapy during pregnancy is a medical challenge. Bipolar disorder is more prevalent in women and its onset is often concurrent with peak reproductive age. Treatment typically involves administration of the element lithium, which has been classified as a class D drug (legal to use during pregnancy, but may cause birth defects and is one of only thirty known teratogenic drugs. There is no clear recommendation in the literature on the maximum acceptable dosage regimen for pregnant, bipolar women. We recommend a maximum dosage regimen based on a physiologically based pharmacokinetic (PBPK model. The model simulates the concentration of lithium in the organs and tissues of a pregnant woman and her fetus. First, we modeled time-dependent lithium concentration profiles resulting from lithium therapy known to have caused birth defects. Next, we identified maximum and average fetal lithium concentrations during treatment. Then, we developed a lithium therapy regimen to maximize the concentration of lithium in the mother’s brain, while maintaining the fetal concentration low enough to reduce the risk of birth defects. This maximum dosage regimen suggested by the model was 400 mg lithium three times per day.

  8. The challenges of changing national malaria drug policy to artemisinin-based combinations in Kenya

    Directory of Open Access Journals (Sweden)

    Otieno Dorothy N

    2007-05-01

    Full Text Available Abstract Backgound Sulphadoxine/sulphalene-pyrimethamine (SP was adopted in Kenya as first line therapeutic for uncomplicated malaria in 1998. By the second half of 2003, there was convincing evidence that SP was failing and had to be replaced. Despite several descriptive investigations of policy change and implementation when countries moved from chloroquine to SP, the different constraints of moving to artemisinin-based combination therapy (ACT in Africa are less well documented. Methods A narrative description of the process of anti-malarial drug policy change, financing and implementation in Kenya is assembled from discussions with stakeholders, reports, newspaper articles, minutes of meetings and email correspondence between actors in the policy change process. The narrative has been structured to capture the timing of events, the difficulties and hurdles faced and the resolutions reached to the final implementation of a new treatment policy. Results Following a recognition that SP was failing there was a rapid technical appraisal of available data and replacement options resulting in a decision to adopt artemether-lumefantrine (AL as the recommended first-line therapy in Kenya, announced in April 2004. Funding requirements were approved by the Global Fund to Fight AIDS, Tuberculosis and Malaria (GFATM and over 60 million US$ were agreed in principle in July 2004 to procure AL and implement the policy change. AL arrived in Kenya in May 2006, distribution to health facilities began in July 2006 coincidental with cascade in-service training in the revised national guidelines. Both training and drug distribution were almost complete by the end of 2006. The article examines why it took over 32 months from announcing a drug policy change to completing early implementation. Reasons included: lack of clarity on sustainable financing of an expensive therapeutic for a common disease, a delay in release of funding, a lack of comparative efficacy data

  9. Study of LZ-based location prediction and its application to transportation recommender systems.

    Science.gov (United States)

    Rodriguez-Carrion, Alicia; Garcia-Rubio, Carlos; Campo, Celeste; Cortés-Martín, Alberto; Garcia-Lozano, Estrella; Noriega-Vivas, Patricia

    2012-01-01

    Predicting users' next location allows to anticipate their future context, thus providing additional time to be ready for that context and react consequently. This work is focused on a set of LZ-based algorithms (LZ, LeZi Update and Active LeZi) capable of learning mobility patterns and estimating the next location with low resource needs, which makes it possible to execute them on mobile devices. The original algorithms have been divided into two phases, thus being possible to mix them and check which combination is the best one to obtain better prediction accuracy or lower resource consumption. To make such comparisons, a set of GSM-based mobility traces of 95 different users is considered. Finally, a prototype for mobile devices that integrates the predictors in a public transportation recommender system is described in order to show an example of how to take advantage of location prediction in an ubiquitous computing environment.

  10. Trial-based economic evaluations in occupational health: principles, methods, and recommendations.

    Science.gov (United States)

    van Dongen, Johanna M; van Wier, Marieke F; Tompa, Emile; Bongers, Paulien M; van der Beek, Allard J; van Tulder, Maurits W; Bosmans, Judith E

    2014-06-01

    To allocate available resources as efficiently as possible, decision makers need information on the relative economic merits of occupational health and safety (OHS) interventions. Economic evaluations can provide this information by comparing the costs and consequences of alternatives. Nevertheless, only a few of the studies that consider the effectiveness of OHS interventions take the extra step of considering their resource implications. Moreover, the methodological quality of those that do is generally poor. Therefore, this study aims to help occupational health researchers conduct high-quality trial-based economic evaluations by discussing the theory and methodology that underlie them, and by providing recommendations for good practice regarding their design, analysis, and reporting. This study also helps consumers of this literature with understanding and critically appraising trial-based economic evaluations of OHS interventions.

  11. Study of LZ-Based Location Prediction and Its Application to Transportation Recommender Systems

    Directory of Open Access Journals (Sweden)

    Patricia Noriega-Vivas

    2012-06-01

    Full Text Available Predicting users’ next location allows to anticipate their future context, thus providing additional time to be ready for that context and react consequently. This work is focused on a set of LZ-based algorithms (LZ, LeZi Update and Active LeZi capable of learning mobility patterns and estimating the next location with low resource needs, which makes it possible to execute them on mobile devices. The original algorithms have been divided into two phases, thus being possible to mix them and check which combination is the best one to obtain better prediction accuracy or lower resource consumption. To make such comparisons, a set of GSM-based mobility traces of 95 different users is considered. Finally, a prototype for mobile devices that integrates the predictors in a public transportation recommender system is described in order to show an example of how to take advantage of location prediction in an ubiquitous computing environment.

  12. Palm-based lauryl alcohol ethoxylate behavioural study and recommendations in personal care applications

    International Nuclear Information System (INIS)

    Ngee, Lim Hong; Anuar Kassim; Atan Sharif; Dzulkefly Kuang; Rosnah Ismail; Ming, Huang Nay

    2008-01-01

    Palm-based lauryl alcohol ethoxylate was synthesized with 6 moles of ethylene oxide using an ethoxylation reactor. The 6 moles of ethylene oxide chain length was approximately the same length as the palm-based lauryl alcohol. The synthesized lauryl alcohol ethoxylate consisted of an average of 6 moles of ethylene oxide and was labeled as C 12 EO 6 . The molecular structure of lauryl alcohol ethoxylate was determined by Fourier Transformed Infrared Spectroscopy (FTIR). The ternary phase diagrams for olive or olein oil/water/C 12 E 6 systems were investigated at 25 degree Celsius. The important features of the ternary phase diagrams are the emulsion and the concentrated emulsion phases. Optical microscope, particle size analyser and rheometer were used to characterize the different compositions of emulsions. Different consistencies of emulsions were recommended for the personal care applications. (author)

  13. Sustainable prevention of resource conflicts. Policy and research recommendations (report 5); Rohstoffkonflikte nachhaltig vermeiden. Forschungs- und Handlungsempfehlungen (Teilbericht 5)

    Energy Technology Data Exchange (ETDEWEB)

    Taenzler, Dennis; Westerkamp, Meike [Adelphi Research, Berlin (Germany); Supersberger, Nikolaus; Ritthoff, Michael; Bleischwitz, Raimund [Wuppertal Institut (Germany)

    2011-04-15

    Raw material conflict occurs in various forms: in the form of supply bottlenecks and crises, violent disputes, or even war; as well as due to the effects of environmental destruction, whereby the sources of people's livelihood are lost. Raw material conflict is a reality in many instances, but in others is merely postulated. On the one hand, the nature, strategic importance and price of raw materials influence potential conflict constellations. On the other hand, much depends on the management and governance of raw material resources and production, material flows, value creation chains and sources of financing, across a variety of levels. Existing research into raw material conflict in the field of oil, gas and valuable minerals reveals the multi-layered complexity of the issue as well as the necessity and possibilities of avoiding such conflict in a sustainable manner over the long term. This research landscape was the starting point for the study by adelphi and the Wuppertal Institute titled ''Sustainable Prevention of Resource Conflicts: Identifying and reducing international conflict risk relating to access to and use of raw materials''. The project has added to existing research and delivered new perspectives in relation to lithium and rare earths - resources which are of special relevance for future energy supply and planning - with a view to developing renewable energy sources and meeting ambitious climate protection goals. This report summarises the results of the research project and sets out recommendations. The project was sponsored by the German Federal Environmental Agency, and was conducted in the period between July 2008 and September 2010. The results are published in a total of eight reports which are briefly summarised here. (orig.)

  14. Recommendations for Infant Feeding Policy and Programs in Dzimauli Region, South Africa: Results From the MAL-ED Birth Cohort.

    Science.gov (United States)

    Mushaphi, Lindelani Fhumudzani; Mahopo, Tjale Cloupas; Nesamvuni, Cebisa Noxolo; Baloyi, Brenda; Mashau, Ellen; Richardson, Jeniata; Dillingham, Rebecca; Guerrant, Richard; Ambikapathi, Ramya; Bessong, Pascal

    2017-09-01

    There is strong evidence that exclusive breastfeeding (EBF) in the first 6 months of life reduces the risk of diseases in infancy and in later life. To understand the maternal reasoning that influences optimum infant feeding practices of caregivers in semirural communities of Limpopo province. Nested qualitative study among mothers in an ongoing birth cohort study was conducted; structured and semi-structured interviews were used to collect data. Data from 234 infants after 6 months of follow-up was included for quantitative analysis. Four focus discussion groups comprising 7 to 10 caregivers were used to obtain perception of mothers on breastfeeding. A semi-structured interview guide was used to stimulate discussions. Thematic content analyses were conducted to identify the main themes that influence breastfeeding practices of caregivers. Over 90% of the caregivers initiated breastfeeding after delivery. However, less than 1% of mothers practiced EBF by 3 months, and none of the children were exclusively breastfed for up to 6 months. All caregivers introduced non-breast milk liquids and solids by the second month of child's life. Common reasons for introducing non-breast milk foods included insufficiency of breast milk production, going back to work or school, and influence by elderly women (mothers/mothers-in-law) and church members. Exclusive breastfeeding was not practiced in this community due to cultural and religious beliefs and misinformation. The involvement of elderly women and church members in infant feeding education and promotion programs and the dissemination of breastfeeding information through mobile phones to younger mothers are recommended.

  15. Development of a journal recommendation tool based upon co-citation analysis of journals cited in Wageningen UR research articles

    NARCIS (Netherlands)

    Veller, van M.G.P.; Gerritsma, W.

    2015-01-01

    Wageningen UR Library has developed a tool based upon co-citation analysis to recommend alternative journals to researchers for a journal they look up in the tool. The journal recommendations can be tuned in such a way to include citation preferences for each of the five science groups that comprise

  16. Adaptation of New Colombian Food-based Complementary Feeding Recommendations Using Linear Programming.

    Science.gov (United States)

    Tharrey, Marion; Olaya, Gilma A; Fewtrell, Mary; Ferguson, Elaine

    2017-12-01

    The aim of the study was to use linear programming (LP) analyses to adapt New Complementary Feeding Guidelines (NCFg) designed for infants aged 6 to 12 months living in poor socioeconomic circumstances in Bogota to ensure dietary adequacy for young children aged 12 to 23 months. A secondary data analysis was performed using dietary and anthropometric data collected from 12-month-old infants (n = 72) participating in a randomized controlled trial. LP analyses were performed to identify nutrients whose requirements were difficult to achieve using local foods as consumed; and to test and compare the NCFg and alternative food-based recommendations (FBRs) on the basis of dietary adequacy, for 11 micronutrients, at the population level. Thiamine recommended nutrient intakes for these young children could not be achieved given local foods as consumed. NCFg focusing only on meat, fruits, vegetables, and breast milk ensured dietary adequacy at the population level for only 4 micronutrients, increasing to 8 of 11 modelled micronutrients when the FBRs promoted legumes, dairy, vitamin A-rich vegetables, and chicken giblets. None of the FBRs tested ensured population-level dietary adequacy for thiamine, niacin, and iron unless a fortified infant food was recommended. The present study demonstrated the value of using LP to adapt NCFg for a different age group than the one for which they were designed. Our analyses suggest that to ensure dietary adequacy for 12- to 23-month olds these adaptations should include legumes, dairy products, vitamin A-rich vegetables, organ meat, and a fortified food.

  17. Hybrid attribute-based recommender system for learning material using genetic algorithm and a multidimensional information model

    Directory of Open Access Journals (Sweden)

    Mojtaba Salehi

    2013-03-01

    Full Text Available In recent years, the explosion of learning materials in the web-based educational systems has caused difficulty of locating appropriate learning materials to learners. A personalized recommendation is an enabling mechanism to overcome information overload occurred in the new learning environments and deliver suitable materials to learners. Since users express their opinions based on some specific attributes of items, this paper proposes a hybrid recommender system for learning materials based on their attributes to improve the accuracy and quality of recommendation. The presented system has two main modules: explicit attribute-based recommender and implicit attribute-based recommender. In the first module, weights of implicit or latent attributes of materials for learner are considered as chromosomes in genetic algorithm then this algorithm optimizes the weights according to historical rating. Then, recommendation is generated by Nearest Neighborhood Algorithm (NNA using the optimized weight vectors implicit attributes that represent the opinions of learners. In the second, preference matrix (PM is introduced that can model the interests of learner based on explicit attributes of learning materials in a multidimensional information model. Then, a new similarity measure between PMs is introduced and recommendations are generated by NNA. The experimental results show that our proposed method outperforms current algorithms on accuracy measures and can alleviate some problems such as cold-start and sparsity.

  18. A Semantic Social Recommender System Using Ontologies Based Approach For Tunisian Tourism

    Directory of Open Access Journals (Sweden)

    Mohamed FRIKHA

    2015-12-01

    Full Text Available Tunisia is well placed in terms of medical tourism and has highly qualified and specialized medical and surgical teams. Integrating social networks in Tunisian medical tourism recommender systems can result in much more accurate recommendations. That is to say, information, interests, and recommendations retrieved from social networks can improve the prediction accuracy. This paper aims to improve traditional recommender systems by incorporating information in social network; including user preferences and influences from social friends. Accordingly, a user interest ontology is developed to make personalized recommendations out of such information. In this paper, we present a semantic social recommender system employing a user interest ontology and a Tunisian Medical Tourism ontology. Our system can improve the quality of recommendation for Tunisian tourism domain. Finally, our social recommendation algorithm is implemented in order to be used in a Tunisia tourism Website to assist users interested in visiting Tunisia for medical purposes.

  19. Danish recommendations on treatment of ankylosing spondylitis and spondyloarthritis based on multinational project initiative

    DEFF Research Database (Denmark)

    Pedersen, Susanne Juhl; Madsen, Ole Rintek; Erlendsson, J.

    2008-01-01

    INTRODUCTION: The multinational initiative "3e Initiative in Rheumatology - Multi-national Recommendations for the Management of Ankylosing Spondylitis 2006-7" served the primary purpose of providing specific recommendations for the management of ankylosing spondylitis and spondyloarthritis...

  20. E-Learning Recommender System Based on Collaborative Filtering and Ontology

    OpenAIRE

    John Tarus; Zhendong Niu; Bakhti Khadidja

    2017-01-01

    In recent years, e-learning recommender systems has attracted great attention as a solution towards addressing the problem of information overload in e-learning environments and providing relevant recommendations to online learners. E-learning recommenders continue to play an increasing educational role in aiding learners to find appropriate learning materials to support the achievement of their learning goals. Although general recommender systems have recorded significant success in solving ...

  1. Derived limits for radiological protection against ionizing radiation based on ICRP-60 recommendations

    International Nuclear Information System (INIS)

    Jang, Si Young; Lee, Byung Soo

    2000-01-01

    In Korea the dose limits are reduced and are set at the ICRP-60 limits. However, derived limits tabulated as MPC in air and water are sill specified in Notice Nol 98-12. There are some discrepancies between the primary dose limits and MPCs in air and water. Therefore, in order to accept ICRP-60 recommendations fully, derived limits such as ALI, DAC, ECL for radiological protection against ionizing radiation based on ICRP-60 recommendations were calculated using modified methods of those of 10 CFR part 20, dose limits and committed effective dose coefficients of the Basic Safety Standards of the IAEA. The derived limits in this study were also compared with those prescribed in 10 CFR part 20 as well as MPCs of Notice No.98-12 in order to analyze the impact of implementing derived limits on nuclear facilities. ECLs in air and water for the control of radioactive discharge into the environment in this study are shown to have lower values (i.e. more conservative), for most part, than those in Notice No. 98-12. Especially, for uranium elements, ECLs in water are approximately a magnitude in the order of two lower than those in Notice No. 98-12. (author)

  2. Recommendations for Integrating a P300-Based Brain Computer Interface in Virtual Reality Environments for Gaming

    Directory of Open Access Journals (Sweden)

    Grégoire Cattan

    2018-05-01

    Full Text Available The integration of a P300-based brain–computer interface (BCI into virtual reality (VR environments is promising for the video games industry. However, it faces several limitations, mainly due to hardware constraints and constraints engendered by the stimulation needed by the BCI. The main limitation is still the low transfer rate that can be achieved by current BCI technology. The goal of this paper is to review current limitations and to provide application creators with design recommendations in order to overcome them. We also overview current VR and BCI commercial products in relation to the design of video games. An essential recommendation is to use the BCI only for non-complex and non-critical tasks in the game. Also, the BCI should be used to control actions that are naturally integrated into the virtual world. Finally, adventure and simulation games, especially if cooperative (multi-user appear the best candidates for designing an effective VR game enriched by BCI technology.

  3. The proposed architecture of the Internet of Things based recommender systems for intelligent building in Tehran

    Directory of Open Access Journals (Sweden)

    Maryam Haji Shah Karam

    2016-12-01

    Full Text Available Today, the need in many cities are complex and therefore require smart cities. The complexity on the one hand, mainly because a lot of communication between various systems such as transport, communication networks, business systems, and on the other hand, citizens who are in contact with all of these systems, is . The synchronization process fast cities with innovative technology, quickly and efficiently, in turn, has a significant impact on the complexity. In this regard, one of the most important requirements for smart city planning, efficient use of information technology and communication. So to implement a Smart City, the need for clear and precise definition of it. Smart city concepts to better understand the implementation and evaluation of such domains involved better "infrastructure environment" and "environmental services" is. Much research has been done in relation to smart cities, but none on recommender systems and crowdsourcing, are not specific to the architecture. This research, conducted in Tehran smart. Then, after analyzing the different architectures based on the results of the research literature, architecture is proposed. In this architecture, the five-layer infrastructure, data collection, management and processing of data, services and applications are anticipated. The components of each layer are explained in detail. Finally, the study concluded that innovation in traditional architecture by taking advantage of the idea of ​​"crowdsourcing" and "recommender systems" can be improved in intelligent transportation systems, intelligent energy management systems smart Home smart city was in the area.

  4. Personalized Recommendation of Learning Material Using Sequential Pattern Mining and Attribute Based Collaborative Filtering

    Science.gov (United States)

    Salehi, Mojtaba; Nakhai Kamalabadi, Isa; Ghaznavi Ghoushchi, Mohammad Bagher

    2014-01-01

    Material recommender system is a significant part of e-learning systems for personalization and recommendation of appropriate materials to learners. However, in the existing recommendation algorithms, dynamic interests and multi-preference of learners and multidimensional-attribute of materials are not fully considered simultaneously. Moreover,…

  5. Personalized links recommendation based on data mining in adaptive educational hypermedia systems

    NARCIS (Netherlands)

    Romero, C.; Ventura, S.; Delgado, J.A.; De Bra, P.M.E.; Duval, E.; Klamma, R.; Wolpers, M.

    2007-01-01

    In this paper, we describe a personalized recommender system that uses web mining techniques for recommending a student which (next) links to visit within an adaptable educational hypermedia system. We present a specific mining tool and a recommender engine that we have integrated in the AHA! system

  6. To what extent are Canadian second language policies evidence-based? Reflections on the intersections of research and policy.

    Science.gov (United States)

    Cummins, Jim

    2014-01-01

    THE PAPER ADDRESSES THE INTERSECTIONS BETWEEN RESEARCH FINDINGS AND CANADIAN EDUCATIONAL POLICIES FOCUSING ON FOUR MAJOR AREAS: (a) core and immersion programs for the teaching of French to Anglophone students, (b) policies concerning the learning of English and French by students from immigrant backgrounds, (c) heritage language teaching, and (d) the education of Deaf and hard-of hearing students. With respect to the teaching of French, policy-makers have largely ignored the fact that most core French programs produce meager results for the vast majority of students. Only a small proportion of students (languages, preferring instead to leave uncorrected the proposition that acquisition of languages such as American Sign Language by young children (with or without cochlear implants) will impede children's language and academic development. The paper reviews the kinds of policies, programs, and practices that could be implemented (at no additional cost) if policy-makers and educators pursued evidence-based educational policies.

  7. The European Federation of Organisations for Medical Physics Policy Statement No. 10.1: Recommended Guidelines on National Schemes for Continuing Professional Development of Medical Physicists.

    Science.gov (United States)

    Christofides, Stelios; Isidoro, Jorge; Pesznyak, Csilla; Cremers, Florian; Figueira, Rita; van Swol, Christiaan; Evans, Stephen; Torresin, Alberto

    2016-01-01

    Continuing Professional Development (CPD) is vital to the medical physics profession if it is to embrace the pace of change occurring in medical practice. As CPD is the planned acquisition of knowledge, experience and skills required for professional practice throughout one's working life it promotes excellence and protects the profession and public against incompetence. Furthermore, CPD is a recommended prerequisite of registration schemes (Caruana et al. 2014) and is implied in the Council Directive 2013/59/EURATOM (EU BSS) and the International Basic Safety Standards (BSS). It is to be noted that currently not all national registration schemes require CPD to maintain the registration status necessary to practise medical physics. Such schemes should consider adopting CPD as a prerequisite for renewing registration after a set period of time. This EFOMP Policy Statement, which is an amalgamation and an update of the EFOMP Policy Statements No. 8 and No. 10, presents guidelines for the establishment of national schemes for CPD and activities that should be considered for CPD. Copyright © 2016. Published by Elsevier Ltd.

  8. Towards a Demand-Driven Agenda for Place-Based Policies in the EU

    DEFF Research Database (Denmark)

    Jensen, Camilla

    This policy study is the second report on the policy implications of the EU funded project Policy Incentives for the Creation of Knowledge – Methods and Evidence (PICK-ME). All contributions in the project related with place-based policy and cluster building are summarized and reviewed (Work...

  9. Analysis and recommendations for a reliable programming of software based safety systems

    International Nuclear Information System (INIS)

    Nunez McLeod, J.; Nunez McLeod, J.E.; Rivera, S.S.

    1997-01-01

    The present paper summarizes the results of several studies performed for the development of high software on i486 microprocessors, towards its utilization for control and safety systems for nuclear power plants. The work is based on software programmed in C language. Several recommendations oriented to high reliability software are analyzed, relating the requirements on high level language to its influence on assembler level. Several metrics are implemented, that allow for the quantification of the results achieved. New metrics were developed and other were adapted, in order to obtain more efficient indexes for the software description. Such metrics are helpful to visualize the adaptation of the software under development to the quality rules under use. A specific program developed to assist the reliability analyst on this quantification is also present in the paper. It performs the analysis of an executable program written in C language, disassembling it and evaluating its inter al structures. (author)

  10. A perspective of the energy policy for Europe: demands and recommendations concerning energy and research policy for overcoming the present stagnation

    International Nuclear Information System (INIS)

    Bandmann, H.

    1977-01-01

    Giving a historical perspective which analyzes the close connection between the energy density used for production and the increase per capita consumption of energy and economic wealth, the author attempts to show that a delay in the development and application of new production technologies will have catastrophic consequences for humanity. The only possible production technology is that based on controlled nuclear fusion. This is more than a forced development of a new reactor technology. Rather, controlled nuclear fusion is seen as a global pacemaker for science, technology, and industrial production. The paper discusses the R and D strategy of an immediate programme drawn up by the Fusion Energy Foundation (FEF) as well as the economic and financial conditions required to make such a programme possible. (GG) [de

  11. Human Health and the Biological Effects of Tritium in Drinking Water: Prudent Policy Through Science – Addressing the ODWAC New Recommendation

    Science.gov (United States)

    Dingwall, S.; Mills, C.E.; Phan, N.; Taylor, K.; Boreham, D.R.

    2011-01-01

    Tritium is a radioactive form of hydrogen and is a by-product of energy production in Canadian Deuterium Uranium (CANDU) reactors. The release of this radioisotope into the environment is carefully managed at CANDU facilities in order to minimize radiation exposure to the public. However, under some circumstances, small accidental releases to the environment can occur. The radiation doses to humans and non-human biota from these releases are low and orders of magnitude less than doses received from naturally occurring radioisotopes or from manmade activities, such as medical imaging and air travel. There is however a renewed interest in the biological consequences of low dose tritium exposures and a new limit for tritium levels in Ontario drinking water has been proposed. The Ontario Drinking Water Advisory Council (ODWAC) issued a formal report in May 2009 in response to a request by the Minister of the Environment, concluding that the Ontario Drinking Water Quality Standard for tritium should be revised from the current 7,000 Bq/L level to a new, lower 20 Bq/L level. In response to this recommendation, an international scientific symposium was held at McMaster University to address the issues surrounding this change in direction and the validity of a new policy. Scientists, regulators, government officials, and industrial stakeholders were present to discuss the potential health risks associated with low level radiation exposure from tritium. The regulatory, economic, and social implications of the new proposed limit were also considered. The new recommendation assumed a linear-no-threshold model to calculate carcinogenic risk associated with tritium exposure, and considered tritium as a non-threshold chemical carcinogen. Both of these assumptions are highly controversial given that recent research suggests that low dose exposures have thresholds below which there are no observable detrimental effects. Furthermore, mutagenic and carcinogenic risk calculated from

  12. A Data Management System Integrating Web-based Training and Randomized Trials: Requirements, Experiences and Recommendations.

    Science.gov (United States)

    Muroff, Jordana; Amodeo, Maryann; Larson, Mary Jo; Carey, Margaret; Loftin, Ralph D

    2011-01-01

    This article describes a data management system (DMS) developed to support a large-scale randomized study of an innovative web-course that was designed to improve substance abuse counselors' knowledge and skills in applying a substance abuse treatment method (i.e., cognitive behavioral therapy; CBT). The randomized trial compared the performance of web-course-trained participants (intervention group) and printed-manual-trained participants (comparison group) to determine the effectiveness of the web-course in teaching CBT skills. A single DMS was needed to support all aspects of the study: web-course delivery and management, as well as randomized trial management. The authors briefly reviewed several other systems that were described as built either to handle randomized trials or to deliver and evaluate web-based training. However it was clear that these systems fell short of meeting our needs for simultaneous, coordinated management of the web-course and the randomized trial. New England Research Institute's (NERI) proprietary Advanced Data Entry and Protocol Tracking (ADEPT) system was coupled with the web-programmed course and customized for our purposes. This article highlights the requirements for a DMS that operates at the intersection of web-based course management systems and randomized clinical trial systems, and the extent to which the coupled, customized ADEPT satisfied those requirements. Recommendations are included for institutions and individuals considering conducting randomized trials and web-based training programs, and seeking a DMS that can meet similar requirements.

  13. Nursing-led management of side effects of radiation: evidence-based recommendations for practice

    Directory of Open Access Journals (Sweden)

    Poirier P

    2013-03-01

    Full Text Available Patricia PoirierUniversity of Maine School of Nursing, Orono, ME, USAAbstract: It has been estimated that 50%–60% of patients diagnosed with cancer will receive radiation therapy at some point in their treatment. Although radiation therapy can play a significant role in the cure or control of cancer, and the palliation of symptoms, it also has side effects. Side effects of radiation therapy can interfere with patient quality of life and daily functioning. Severe side effects can lead to delays in treatment, potentially affecting the outcome of treatment. All patients receiving radiation therapy are at risk of fatigue and skin reactions in the area of the body being treated. Other side effects of radiation therapy are specific to the part of the body being treated. Radiation therapy to the head and neck area may cause oral mucositis, dryness, and nutritional deficiencies. Radiation therapy to the chest or lung area may lead to difficulty in swallowing and eating. Radiation therapy to the pelvis frequently causes diarrhea. There are many nursing interventions available to manage the side effects of treatment based on best available evidence and expert opinion. Nurses in all settings are essential in helping patients manage the side effects of treatment and maintain their quality of life. The purpose of this review is to provide nurses with evidence-based recommendations and suggestions for managing common acute side effects of radiation therapy.Keywords: evidence-based practice, radiation therapy, side effects, nursing management

  14. Mining association rule based on the diseases population for recommendation of medicine need

    Science.gov (United States)

    Harahap, M.; Husein, A. M.; Aisyah, S.; Lubis, F. R.; Wijaya, B. A.

    2018-04-01

    Selection of medicines that is inappropriate will lead to an empty result at medicines, this has an impact on medical services and economic value in hospital. The importance of an appropriate medicine selection process requires an automated way to select need based on the development of the patient's illness. In this study, we analyzed patient prescriptions to identify the relationship between the disease and the medicine used by the physician in treating the patient's illness. The analytical framework includes: (1) patient prescription data collection, (2) applying k-means clustering to classify the top 10 diseases, (3) applying Apriori algorithm to find association rules based on support, confidence and lift value. The results of the tests of patient prescription datasets in 2015-2016, the application of the k-means algorithm for the clustering of 10 dominant diseases significantly affects the value of trust and support of all association rules on the Apriori algorithm making it more consistent with finding association rules of disease and related medicine. The value of support, confidence and the lift value of disease and related medicine can be used as recommendations for appropriate medicine selection. Based on the conditions of disease progressions of the hospital, there is so more optimal medicine procurement.

  15. Identification and management of comorbidity in psoriatic arthritis: evidence- and expert-based recommendations from a multidisciplinary panel from Spain.

    Science.gov (United States)

    Torre-Alonso, Juan Carlos; Carmona, Loreto; Moreno, Mireia; Galíndez, Eva; Babío, Jesús; Zarco, Pedro; Linares, Luis; Collantes-Estevez, Eduardo; Barrial, Manuel Fernández; Hermosa, Juan Carlos; Coto, Pablo; Suárez, Carmen; Almodóvar, Raquel; Luelmo, Jesús; Castañeda, Santos; Gratacós, Jordi

    2017-08-01

    The objective is to establish recommendations, based on evidence and expert opinion, for the identification and management of comorbidities in patients with psoriatic arthritis (PsA). The following techniques were applied: discussion group, systematic review, and Delphi survey for agreement. A panel of professionals from four specialties defined the users, the sections of the document, possible recommendations, and what systematic reviews should be performed. A second discussion was held with the results of the systematic reviews. Recommendations were formulated in the second meeting and voted online from 1 (total disagreement) to 10 (total agreement). Agreement was considered if at least 70% voted ≥7. The level of evidence and grade of recommendation were assigned using the Oxford Centre for Evidence-Based Medicine guidance. The full document was critically appraised by the experts, and the project was supervised at all times by a methodologist. In a final step, the document was reviewed and commented by a patient and a health management specialist. Fourteen recommendations were produced, together with a checklist to facilitate the implementation. The items with the largest support from evidence were those related to cardiovascular disease and risk factors. The panel recommends paying special attention to obesity, smoking, and alcohol consumption, as they are all modifiable factors with an impact on treatment response or complications of PsA. Psychological and organizational aspects were also deemed important. We herein suggest practical recommendations for the management of comorbidities in PsA based on evidence and expert opinion.

  16. Privacy-Preserving and Scalable Service Recommendation Based on SimHash in a Distributed Cloud Environment

    Directory of Open Access Journals (Sweden)

    Yanwei Xu

    2017-01-01

    Full Text Available With the increasing volume of web services in the cloud environment, Collaborative Filtering- (CF- based service recommendation has become one of the most effective techniques to alleviate the heavy burden on the service selection decisions of a target user. However, the service recommendation bases, that is, historical service usage data, are often distributed in different cloud platforms. Two challenges are present in such a cross-cloud service recommendation scenario. First, a cloud platform is often not willing to share its data to other cloud platforms due to privacy concerns, which decreases the feasibility of cross-cloud service recommendation severely. Second, the historical service usage data recorded in each cloud platform may update over time, which reduces the recommendation scalability significantly. In view of these two challenges, a novel privacy-preserving and scalable service recommendation approach based on SimHash, named SerRecSimHash, is proposed in this paper. Finally, through a set of experiments deployed on a real distributed service quality dataset WS-DREAM, we validate the feasibility of our proposal in terms of recommendation accuracy and efficiency while guaranteeing privacy-preservation.

  17. Ultrasonography diagnosis and imaging-based management of thyroid nodules: Revised Korean society of thyroid radiology consensus statement and recommendations

    Energy Technology Data Exchange (ETDEWEB)

    Shin, Jung Hee [Dept. of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul (Korea, Republic of); Baek, Jung Hwan [Dept. of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul (Korea, Republic of); Chung, Jin [Dept. of Radiology, Ewha Womans University School of Medicine, Seoul (Korea, Republic of); and others

    2016-06-15

    The rate of detection of thyroid nodules and carcinomas has increased with the widespread use of ultrasonography (US), which is the mainstay for the detection and risk stratification of thyroid nodules as well as for providing guidance for their biopsy and nonsurgical treatment. The Korean Society of Thyroid Radiology (KSThR) published their first recommendations for the US-based diagnosis and management of thyroid nodules in 2011. These recommendations have been used as the standard guidelines for the past several years in Korea. Lately, the application of US has been further emphasized for the personalized management of patients with thyroid nodules. The Task Force on Thyroid Nodules of the KSThR has revised the recommendations for the ultrasound diagnosis and imaging-based management of thyroid nodules. The review and recommendations in this report have been based on a comprehensive analysis of the current literature and the consensus of experts.

  18. Development of derived limits for radiological protection against ionizing radiation based on ICRP-60 recommendations

    International Nuclear Information System (INIS)

    Jang, S. Y.; Lee, B. S.

    1999-01-01

    Derived limits such as the Annual Limit on Intake (ALI), Derived Air Concentration (DAC) and Effluent Concentration Limit (ECL) for radiological protection against ionizing radiation based on ICRP-60 recommendations were calculated using dose limits and committed effective dose coefficients of the basic Safety Standards of IAEA (i.e. safety series 115; BSS-96). Derived limits regarding occupational exposure were derived using methodologies of ICRP-61 and dose limit stated in ICRP -60. ECL in air and water for the control of radioactive discharge into the environment were derived using methodologies of 10 CFR part 20 and dose limit stated in ICRP-60. In order to analyze the impact of implementing derived limits on nuclear facilities, the derived values in this study were compared with those prescribed in 10 CFR part 20 as well as the Maximum Permissible Concentrations (MPC) of Notice No. 98-12 of the Ministry of Science and Technology (MOST). According to the comparison results, ECLs in air and water for the control of radioactive discharge into the environment in this study are shown to have lower values (i.e. more conservative), for most part, than those in Notice No. 98-12. These differences are due to the reduction of dose limit, adoption of a weighting factor for age-dependency in dose coefficients, and application of new respiratory tract model and bio-kinetics model. Especially, for uranium elements (i.e., 235 U, 238 U, etc.), which are governing ones in the nuclear fuel industries, ECLs in water are approximately a magnitude in the order of two lower than those in Notice No. 98-12. These are attributable to the adoption of a weighting factor for age-dependency in dose coefficients, newly recommended dose coefficients for ingestion pathway, and reduction of dose limit. It was found out that the differences in ECLs in water for uranium elements originated mostly from ingestion dose coefficients recommended by BSS-96. (author). 6 refs., 2 tabs., 5 figs

  19. A New Profile Learning Model for Recommendation System based on Machine Learning Technique

    Directory of Open Access Journals (Sweden)

    Shereen H. Ali

    2016-03-01

    Full Text Available Recommender systems (RSs have been used to successfully address the information overload problem by providing personalized and targeted recommendations to the end users. RSs are software tools and techniques providing suggestions for items to be of use to a user, hence, they typically apply techniques and methodologies from Data Mining. The main contribution of this paper is to introduce a new user profile learning model to promote the recommendation accuracy of vertical recommendation systems. The proposed profile learning model employs the vertical classifier that has been used in multi classification module of the Intelligent Adaptive Vertical Recommendation (IAVR system to discover the user’s area of interest, and then build the user’s profile accordingly. Experimental results have proven the effectiveness of the proposed profile learning model, which accordingly will promote the recommendation accuracy.

  20. A Systematic Review of Marine-Based Species Distribution Models (SDMs with Recommendations for Best Practice

    Directory of Open Access Journals (Sweden)

    Néstor M. Robinson

    2017-12-01

    Full Text Available In the marine environment Species Distribution Models (SDMs have been used in hundreds of papers for predicting the present and future geographic range and environmental niche of species. We have analyzed ways in which SDMs are being applied to marine species in order to recommend best practice in future studies. This systematic review was registered as a protocol on the Open Science Framework: https://osf.io/tngs6/. The literature reviewed (236 papers was published between 1992 and July 2016. The number of papers significantly increased through time (R2 = 0.92, p < 0.05. The studies were predominantly carried out in the Temperate Northern Atlantic (45% followed by studies of global scale (11% and studies in Temperate Australasia (10%. The majority of studies reviewed focused on theoretical ecology (37% including investigations of biological invasions by non-native organisms, conservation planning (19%, and climate change predictions (17%. Most of the studies were published in ecological, multidisciplinary, or biodiversity conservation journals. Most of the studies (94% failed to report the amount of uncertainty derived from data deficiencies and model parameters. Best practice recommendations are proposed here to ensure that novice and advanced SDM users can (a understand the main elements of SDMs, (b reproduce standard methods and analysis, and (c identify potential limitations with their data. We suggest that in the future, studies of marine SDMs should report on key features of the approaches employed, data deficiencies, the selection of the best explanatory model, and the approach taken to validate the SDM results. In addition, based on the literature reviewed, we suggest that future marine SDMs should account for uncertainty levels as part of the modeling process.