Byna, Suren [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Chaarawi, Mohamad [Intel Corp. (United States); Koziol, Quincey [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Mainzer, John [The HDF Group (United States); Willmore, Frank [The HDF Group (United States)
Subfiling is a technique used on parallel file systems to reduce locking and contention issues when multiple compute nodes interact with the same storage target node. Subfiling provides a compromise between the single shared file approach that instigates the lock contention problems on parallel file systems and having one file per process, which results in generating a massive and unmanageable number of files. In this paper, we evaluate and tune the performance of recently implemented subfiling feature in HDF5. In specific, we explain the implementation strategy of subfiling feature in HDF5, provide examples of using the feature, and evaluate and tune parallel I/O performance of this feature with parallel file systems of the Cray XC40 system at NERSC (Cori) that include a burst buffer storage and a Lustre disk-based storage. We also evaluate I/O performance on the Cray XC30 system, Edison, at NERSC. Our results show performance benefits of 1.2X to 6X performance advantage with subfiling compared to writing a single shared HDF5 file. We present our exploration of configurations, such as the number of subfiles and the number of Lustre storage targets to storing files, as optimization parameters to obtain superior I/O performance. Based on this exploration, we discuss recommendations for achieving good I/O performance as well as limitations with using the subfiling feature.
... 7 Agriculture 8 2010-01-01 2010-01-01 false Recommendations for regulation. 915.50 Section 915.50 Agriculture Regulations of the Department of Agriculture (Continued) AGRICULTURAL MARKETING SERVICE (Marketing Agreements and Orders; Fruits, Vegetables, Nuts), DEPARTMENT OF AGRICULTURE AVOCADOS GROWN IN SOUTH FLORIDA...
Luo, Yu; Iyengar, Garud; Venkatasubramanian, Venkat
Regulating emerging industries is challenging, even controversial at times. Under-regulation can result in safety threats to plant personnel, surrounding communities, and the environment. Over-regulation may hinder innovation, progress, and economic growth. Since one typically has limited understanding of, and experience with, the novel technology in practice, it is difficult to accomplish a properly balanced regulation. In this work, we propose a control and coordination policy called soft regulation that attempts to strike the right balance and create a collective learning environment. In soft regulation mechanism, individual agents can accept, reject, or partially accept the regulator's recommendation. This non-intrusive coordination does not interrupt normal operations. The extent to which an agent accepts the recommendation is mediated by a confidence level (from 0 to 100%). Among all possible recommendation methods, we investigate two in particular: the best recommendation wherein the regulator is completely informed and the crowd recommendation wherein the regulator collects the crowd's average and recommends that value. We show by analysis and simulations that soft regulation with crowd recommendation performs well. It converges to optimum, and is as good as the best recommendation for a wide range of confidence levels. This work sheds a new theoretical perspective on the concept of the wisdom of crowds.
Full Text Available Regulating emerging industries is challenging, even controversial at times. Under-regulation can result in safety threats to plant personnel, surrounding communities, and the environment. Over-regulation may hinder innovation, progress, and economic growth. Since one typically has limited understanding of, and experience with, the novel technology in practice, it is difficult to accomplish a properly balanced regulation. In this work, we propose a control and coordination policy called soft regulation that attempts to strike the right balance and create a collective learning environment. In soft regulation mechanism, individual agents can accept, reject, or partially accept the regulator's recommendation. This non-intrusive coordination does not interrupt normal operations. The extent to which an agent accepts the recommendation is mediated by a confidence level (from 0 to 100%. Among all possible recommendation methods, we investigate two in particular: the best recommendation wherein the regulator is completely informed and the crowd recommendation wherein the regulator collects the crowd's average and recommends that value. We show by analysis and simulations that soft regulation with crowd recommendation performs well. It converges to optimum, and is as good as the best recommendation for a wide range of confidence levels. This work sheds a new theoretical perspective on the concept of the wisdom of crowds.
Rowen, Donna; Azzabi Zouraq, Ismail; Chevrou-Severac, Helene; van Hout, Ben
Recommendations and guidelines for the collection, generation, source and usage of utility data for health technology assessment (HTA) vary across different countries, with no international consensus. Many international agencies generate their own guidelines providing details on their preferred methods for HTA submissions, and there is variability in both what they recommend and the clarity and amount of detail provided in their guidelines. This article provides an overview of international regulations and recommendations for utility data in HTA for a selection of key HTA countries: Australia, Canada, France, Germany, the Netherlands, Spain (Catalonia), Sweden and the UK (England/Wales and Scotland). International guidelines are typically clear and detailed for the selection of countries assessed regarding the source description of health states (e.g. generic preference-based measure) and who should provide preference weights for these health states (e.g. general population for own country). Many guidelines specify the use of off-the-shelf generic preference-based measures, and some further specify a measure, such as EQ-5D. However, international guidelines are either unclear or lack detailed guidance regarding the collection (e.g. patients report own health), source (e.g. clinical trial) and usage (e.g. adjusting for comorbidities) of utility values. It is argued that there is a need for transparent and detailed international guidelines on utility data recommendations to provide decision makers with the best possible evidence. Where this is not possible it is recommended that best practice should be used to inform the collection, source and usage of utility values in HTA.
Mihaich, Ellen M; Schäfers, Christoph; Dreier, David A; Hecker, Markus; Ortego, Lisa; Kawashima, Yukio; Dang, Zhi-Chao; Solomon, Keith
As regulatory programs evaluate substances for their endocrine-disrupting properties, careful study design and data interpretation are needed to distinguish between responses that are truly endocrine specific and those that are not. This is particularly important in regulatory environments where criteria are under development to identify endocrine-disrupting properties to enable hazard-based regulation. Irrespective of these processes, most jurisdictions use the World Health Organization/International Programme on Chemical Safety definition of an endocrine disruptor, requiring that a substance is demonstrated to cause a change in endocrine function that consequently leads to an adverse effect in an intact organism. Such a definition is broad, and at its most cautious might capture many general mechanisms that would not specifically denote an endocrine disruptor. In addition, endocrine responses may be adaptive in nature, designed to maintain homeostasis rather than induce an irreversible adverse effect. The likelihood of indirect effects is increased in (eco)toxicological studies that require the use of maximum tolerated concentrations or doses, which must produce some adverse effect. The misidentification of indirect effects as truly endocrine mediated has serious consequences for prompting animal- and resource-intensive testing and regulatory consequences. To minimize the risk for misidentification, an objective and transparent weight-of-evidence procedure based on biological plausibility, essentiality, and empirical evidence of key events in an adverse outcome pathway is recommended to describe the modes of action that may be involved in toxic responses in nontarget organisms. Confounding factors such as systemic toxicity, general stress, and infection can add complexity to such an evaluation and should be considered in the weight of evidence. A recommended set of questions is proffered to help guide researchers and regulators in discerning endocrine and
Hansen, Steffen Foss; Baun, Anders
regulation in regard to nanomaterials is a starting point in a democratic and transparent process towards adapting existing laws and facilitating an informed discussion about which kind of regulatory options best address the identified limitations. In the following we will introduce key pieces of European...
Ashchaulov Vitalii V.
Full Text Available The article is concerned with substantiating recommendations on the choice of an effective strategy of the State regulation for system of monitoring economy branches. To display the financial aspect of the enterprise's strategic positioning in the sectoral environment, a modified ADL matrix was used. A matrix of choosing an optimum variant (scenario of the enterprise's financial strategy has been considered taking into account possibilities of its use in the system of monitoring the development of economic sectors. Disadvantages in the use of modified ADL matrices and in choosing an optimum variant (scenario financial strategy of the enterprise's financial strategy have been identified. Factors of internal and external environment, which affect the strategic choice of enterprises, have been determined and analyzed. The SPACE matrix for building the model of choosing a strategy of financing the development of enterprises in the economy branches has been modified in the context of the system of monitoring the development of economy branches. A description of the strategies proposed by author for financing the development of enterprise has been provided, their advantages and disadvantages have been determined. Individual tools of the proposed models of actions can be accepted as a way of improving the strategic positions with a view to achieving a higher quantitative-qualitative situation as well as adjustment of the existing model of behavior.
Full Text Available OBJECTIVE: Contribution to the discussion of the role of participation/consent of employees in working hours regulation. METHODS: Exploratory analysis of conflicts between preferences of employees and ergonomic recommendations in shift scheduling by analysing a large number of participative shift scheduling projects. RESULTS: The analysis showed that very often the pursuit of higher income played the major role in the decision making process of employees and employees preferred working hours in conflict with health and safety principles. CONCLUSIONS: First, the consent of employees or the works council alone does not ensure ergonomically sound schedules. Besides consent, risk assessment procedures seem to be a promising but difficult approach. Secondly, more research is necessary to check the applicability of recommendations under various settings, to support the risk assessment processes and to improve regulatory approaches to working hours.OBJETIVO: Contribuir para a discussão do papel da participação/consentimento dos empregados na regulamentação das horas de trabalho. MÉTODOS: Realizou-se um estudo exploratório dos conflitos existentes entre as preferências dos empregados e as recomendações ergonômicas no planejamento de esquemas de trabalho em turnos, analisando-se um grande número de projetos participativos de planejamento dos turnos. RESULTADOS: O estudo mostrou que, com freqüência, a busca por um rendimento maior teve um papel importante no processo de tomada de decisão dos empregados, quando estes optaram pelas horas de trabalho em oposição aos princípios de saúde e segurança. CONCLUSÕES: Em primeiro lugar, o consentimento dos empregados ou da comissão de trabalhadores por si só não garante horários salutares do ponto de vista ergonômico. Além do consentimento, processos de avaliação de risco parecem ser uma abordagem promissora embora complicada. Em segundo lugar, fazem-se necessários mais estudos para
Following years of deliberation, the European Union released a Recommendation on unconventional hydrocarbons and a related Communication in 2014. Although these documents are not legally binding on member states, they are nevertheless of great significance as they indicate, for the first time, the
Sadiq, Abderrahmane; El Fazziki, Abdelaziz; Ouarzazi, Jamal; Sadgal, Mohamed
This paper presents an integrated and adaptive problem-solving approach to control the on-road air quality by modeling the road infrastructure, managing traffic based on pollution level and generating recommendations for road users. The aim is to reduce vehicle emissions in the most polluted road segments and optimizing the pollution levels. For this we propose the use of historical and real time pollution records and contextual data to calculate the air quality index on road networks and generate recommendations for reassigning traffic flow in order to improve the on-road air quality. The resulting air quality indexes are used in the system's traffic network generation, which the cartography is represented by a weighted graph. The weights evolve according to the pollution indexes and path properties and the graph is therefore dynamic. Furthermore, the systems use the available pollution data and meteorological records in order to predict the on-road pollutant levels by using an artificial neural network based prediction model. The proposed approach combines the benefits of multi-agent systems, Big data technology, machine learning tools and the available data sources. For the shortest path searching in the road network, we use the Dijkstra algorithm over Hadoop MapReduce framework. The use Hadoop framework in the data retrieve and analysis process has significantly improved the performance of the proposed system. Also, the agent technology allowed proposing a suitable solution in terms of robustness and agility.
Cossent, Rafael [Instituto de Investigacion Tecnologica, Escuela Tecnica Superior de Ingenieria, Universidad Pontificia Comillas, C/ Quintana 21, 28008 Madrid (Spain)], E-mail: Rafael.Cossent@iit.upcomillas.es; Gomez, Tomas; Frias, Pablo [Instituto de Investigacion Tecnologica, Escuela Tecnica Superior de Ingenieria, Universidad Pontificia Comillas, C/ Quintana 21, 28008 Madrid (Spain)
The European Energy Policy promotes renewable energy sources and energy efficiency as means to mitigate environmental impact, increase security of supply and ensure economic competitiveness. As a result, the penetration levels of distributed generation (DG) in electricity networks are bound to increase. Distribution networks and distribution system operators (DSOs) will be especially affected by growing levels of DG. This paper reviews the current regulation of distribution in the European Union Member States, focusing on those aspects that might hinder the future integration of DG. Several regulatory issues that may hinder a successful integration of DG have been identified. Recommendations to improve the current situation are proposed. Regarding economic signals sent to DG, connection charges and cost-reflective use-of-system charges together with incentives to provide ancillary services are the key aspects. Concerning DSOs regulation, unbundling from generation and supply according to the European Electricity Directive, incentives for optimal planning and network operation considering DG, including energy losses and quality of service, and innovation schemes to migrate to active networks are the most relevant topics.
Cossent, Rafael; Gomez, Tomas; Frias, Pablo [Instituto de Investigacion Tecnologica, Escuela Tecnica Superior de Ingenieria, Universidad Pontificia Comillas, C/ Quintana 21, 28008 Madrid (Spain)
The European Energy Policy promotes renewable energy sources and energy efficiency as means to mitigate environmental impact, increase security of supply and ensure economic competitiveness. As a result, the penetration levels of distributed generation (DG) in electricity networks are bound to increase. Distribution networks and distribution system operators (DSOs) will be especially affected by growing levels of DG. This paper reviews the current regulation of distribution in the European Union Member States, focusing on those aspects that might hinder the future integration of DG. Several regulatory issues that may hinder a successful integration of DG have been identified. Recommendations to improve the current situation are proposed. Regarding economic signals sent to DG, connection charges and cost-reflective use-of-system charges together with incentives to provide ancillary services are the key aspects. Concerning DSOs regulation, unbundling from generation and supply according to the European Electricity Directive, incentives for optimal planning and network operation considering DG, including energy losses and quality of service, and innovation schemes to migrate to active networks are the most relevant topics. (author)
National Park Service, Department of the Interior — Recommended wilderness is an Arcview shapefile representing the porposed wilderness areas throughout the park. The boundaries for this data set were digitized by...
Kembellec, Gérald; Saleh, Imad
Acclaimed by various content platforms (books, music, movies) and auction sites online, recommendation systems are key elements of digital strategies. If development was originally intended for the performance of information systems, the issues are now massively moved on logical optimization of the customer relationship, with the main objective to maximize potential sales. On the transdisciplinary approach, engines and recommender systems brings together contributions linking information science and communications, marketing, sociology, mathematics and computing. It deals with the understan
Comparison between the Brazilian regulation of radioprotection and the recommendation of International Commission on Radiological Protection published in 2007; Comparacao entre a norma brasileira de radioprotecao e a recomendacao da International Commission on Radiological Protection publicadas em 2007
Pereira, Wagner S.; Py Junior, Delcy A.; Dantas, Marcelino V.A.; Oliveira, Sergio Q. de, E-mail: email@example.com, E-mail: firstname.lastname@example.org, E-mail: email@example.com [Industrias Nucleares do Brasil (UTM/INB), Pocos de Caldas, MG (Brazil). Unidade de Tratamento de Minerios; Kelecom, Alphonse [Universidade Federal Fluminense (LARARA/UFF), Niteroi, RJ (Brazil). Lab. de Radiobiologia e Radiometria; Mortagua, Valter Jose, E-mail: Valter@inb.gov.b [Industrias Nucleares do Brasil (USIN/INB), SP (Brazil). Usina de Interlagos
This paper intends to compare the Brasilian basic regulation on radiological protection with the new recommendations of ICRP through existent differences. The main difference between the publication 60 and the publication 103 of the ICRP is the changing of concept of protection based on the process by use of practice and intervention concepts, to the protection based on the exposure situation, through the concepts of planned exposure, emergency and existent situation. For adequacy to the Brazilian regulation it is necessary to change its concept of protection and the values of radiation weighing and tissues, up dating of radiation detriments, besides to make clear the concept of environmental radioprotection
Burke, Robin; Abdollahpouri, Himan
Recommender systems are personalized information systems. However, in many settings, the end-user of the recommendations is not the only party whose needs must be represented in recommendation generation. Incorporating this insight gives rise to the notion of multistakeholder recommendation, in which the interests of multiple parties are represented in recommendation algorithms and evaluation. In this paper, we identify patterns of stakeholder utility that characterize different multistakehol...
Recommender systems are one of the recent inventions to deal with the ever-growing information overload in relation to the selection of goods and services in a global economy. Collaborative Filtering (CF) is one of the most popular techniques in recommender systems. The CF recommends items to a target user based on the preferences of a set of similar users known as the neighbors, generated from a database made up of the preferences of past users. In the absence of these ratings, trust between the users could be used to choose the neighbor for recommendation making. Better recommendations can b
Sivakumar, Akshitha; Prabadevi, B.
Presents a personalized travel sequence for the given area the individual wants to visit. It not only helps to personalize the travel but also recommend a travel sequence based on the area mentioned. Firstly the frequently visited routes are ranked then top ranked routes are chosen based on previous travel records. The data is being collected using data mining and the famous routes are ranked based on user and the route. It helps in bridging the gap between user travel preference and routes.
The impact on the environment and on the population due to the release of the patients after therapy with unsealed sources: a comparison between the new international recommendations and the Italian regulations
Russo, A.; Speranza, A.; Storto, G.; Salvatore, M. [National Research Council, Institute of Biostructures and Bioimaging and Dep. of Biomorphological and Functional Sciences Federico-2 Univ., Napoli (Italy); Casale, M. [Federico-2 Univ., Dept. of Physics - Health Physics School, Napoli (Italy); Delia, R. [La Sapienza Univ., Faculty of Medicine, Rieti Section, Roma (Italy)
general public, the remaining activity in the patient of 240 MBq of 131 I is sufficient to hospitalise the patients. The Italian regulation establishes that it could not be necessary the patients hospitalisation after hyperthyroidism therapy with 131 I if the administered activity is less than 600 MBq. (D. L.vo 187/2000, All.I, part II, codicil 6). On the basis of the previous considerations, in this paper the authors compare the ICRP recommendations with the Italian procedures adopted in the nuclear medicine practices, either from the point of view of the correct management of the patients or from the point of view of the radioprotection and of the dose contribution to the population. This comparison takes into account either the environmental release and its contribution to the public dose, or the good protection measurement, which should have been adopted for limiting the exposure of the medical staff, relatives, caregivers and the general public, both in the case of the patients hospitalisation and of his release. (authors)
Erkin, Z.; Beye, M.; Veugen, P.J.M.; Lagendijk, R.L.
Online recommender systems enable personalized service to users. The underlying collaborative filtering techniques operate on privacy sensitive user data, which could be misused by the service provider. To protect user privacy, we propose to encrypt the data and generate recommendations by
-scale application by companies like Amazon, Facebook, and Netflix. But are search and recommendation really two different fields of research that address different problems with different sets of algorithms in papers published at distinct conferences? In my talk, I want to argue that search and recommendation...
McAlindon, T. E.; Driban, J. B.; Henrotin, Y.
the members voted we calculated the median score among the nine members of the working group who completed the score. The document includes 25 recommendations regarding randomization, blocking and stratification, blinding, enhancing accuracy of patient-reported outcomes (PRO), selecting a study population......The goal of this document is to update the original OARSI recommendations specifically for the design, conduct, and reporting of clinical trials that target symptom or structure modification among individuals with knee osteoarthritis (OA). To develop recommendations for the design, conduct...
US Fish and Wildlife Service, Department of the Interior — This document is a review of land management practices at the Bear River Migratory Bird Refuge, by a land use specialist. Recommendations, time frame and additional...
... Eyes? Recommended Types of Sunglasses Leer en Español: Tipos Recomendados de Anteojos de Sol Dec. 12, 2015 ... is linked to cataracts and eye growths, including cancer. UVB radiation is considered more dangerous to the ...
US Fish and Wildlife Service, Department of the Interior — This document is a review of land management practices at the Kirwin National Wildlife Refuge, by a land use specialist. Recommendations, time frame and additional...
US Fish and Wildlife Service, Department of the Interior — This document is a review of land management practices at the Tewaukon Complex, by a land use specialist. Recommendations, time frame and additional comments are...
Barbieri, Nicola; Ritacco, Ettore
The importance of accurate recommender systems has been widely recognized by academia and industry, and recommendation is rapidly becoming one of the most successful applications of data mining and machine learning. Understanding and predicting the choices and preferences of users is a challenging task: real-world scenarios involve users behaving in complex situations, where prior beliefs, specific tendencies, and reciprocal influences jointly contribute to determining the preferences of users toward huge amounts of information, services, and products. Probabilistic modeling represents a robus
Recio-García, Juan A.; Díaz-Agudo, Belén; González-Sanz, Sergio; Sanchez, Lara Quijano
Case-Based Reasoning (CBR) is one of most successful applied AI technologies of recent years. Although many CBR systems reason locally on a previous experience base to solve new problems, in this paper we focus on distributed retrieval processes working on a network of collaborating CBR systems. In such systems, each node in a network of CBR agents collaborates, arguments and counterarguments its local results with other nodes to improve the performance of the system's global response. We describe D2ISCO: a framework to design and implement deliberative and collaborative CBR systems that is integrated as a part of jcolibritwo an established framework in the CBR community. We apply D2ISCO to one particular simplified type of CBR systems: recommender systems. We perform a first case study for a collaborative music recommender system and present the results of an experiment of the accuracy of the system results using a fuzzy version of the argumentation system AMAL and a network topology based on a social network. Besides individual recommendation we also discuss how D2ISCO can be used to improve recommendations to groups and we present a second case of study based on the movie recommendation domain with heterogeneous groups according to the group personality composition and a group topology based on a social network.
Giacometti, Arnaud; Marcel, Patrick; Negre, Elsa
Interactive analysis of datacube, in which a user navigates a cube by launching a sequence of queries is often tedious since the user may have no idea of what the forthcoming query should be in his current analysis. To better support this process we propose in this paper to apply a Collaborative Work approach that leverages former explorations of the cube to recommend OLAP queries. The system that we have developed adapts Approximate String Matching, a technique popular in Information Retrieval, to match the current analysis with the former explorations and help suggesting a query to the user. Our approach has been implemented with the open source Mondrian OLAP server to recommend MDX queries and we have carried out some preliminary experiments that show its efficiency for generating effective query recommendations.
Sifa, Rafet; Bauckhage, C.; Drachen, Anders
Contemporary users (players, consumers) of digital games have thousands of products to choose from, which makes nding games that t their interests challenging. Towards addressing this challenge, in this paper two dierent formulations of Archetypal Analysis for Top-L recommender tasks using implicit...... feedback are presented: factor- and neighborhood-oriented models. These form the rst application of rec- ommender systems to digital games. Both models are tested on a dataset of 500,000 users of the game distribution platform Steam, covering game ownership and playtime data across more than 3000 games....... Compared to four other recommender models (nearest neighbor, two popularity mod- els, random baseline), the archetype based models provide the highest recall rates showing that Archetypal Analysis can be successfully applied for Top-L recommendation purposes...
Joslyn, Cliff A.; Hogan, Emilie A.; Paulson, Patrick R.; Peterson, Elena S.; Stephan, Eric G.; Thomas, Dennis G.
Mathematical concepts of order and ordering relations play multiple roles in semantic technologies. Discrete totally ordered data characterize both input streams and top-k rank-ordered recommendations and query output, while temporal attributes establish numerical total orders, either over time points or in the more complex case of startend temporal intervals. But also of note are the fully partially ordered data, including both lattices and non-lattices, which actually dominate the semantic strcuture of ontological systems. Scalar semantic similarities over partially-ordered semantic data are traditionally used to return rank-ordered recommendations, but these require complementation with true metrics available over partially ordered sets. In this paper we report on our work in the foundations of partial order measurement in ontologies, with application to top-k semantic recommendation in workflows.
Sun, Mingxuan; Lebanon, Guy; Kidwell, Paul
Recommendation systems are emerging as an important business application with significant economic impact. Currently popular systems include Amazon's book recommendations, Netflix's movie recommendations, and Pandora's music recommendations. In this paper we address the problem of estimating probabilities associated with recommendation system data using non-parametric kernel smoothing. In our estimation we interpret missing items as randomly censored observations and obtain efficient computat...
This article summarizes recommendations of the Richardson Study regarding a comprehensive approach to programing for gifted students. Basic components of comprehensive programing are outlined, and seven steps deemed essential to program development and implementation are described, as implemented by the Pyramid Project in four school districts in…
Herder, Eelco; Kärger, Philipp
Herder, E., & Kärger, P. (2008). Hybrid Personalization for Recommendations. In J. Baumeister & M. Atzmüller, Proceedings of the 16th Workshop on Adaptivity and User Modeling in Interactive System, ABIS 2008 (pp. 20-25). October, 6-10, 2008, Würzburg, Germany: Universität Würzburg. Website with link
Emery, C. A.; Roos, Ewa M.; Verhagen, E.
The risk of post-traumatic osteoarthritis (PTOA) substantially increases following joint injury. Research efforts should focus on investigating the efficacy of preventative strategies in high quality randomized controlled trials (RCT). The objective of these OARSI RCT recommendations is to inform...
Jeckmans, Arjan; Beye, Michael; Erkin, Zekeriya; Erkin, Zekeriya; Hartel, Pieter H.; Lagendijk, Reginald; Tang, Qiang; Ramzan, Naeem; van Zwol, Roelof; Lee, Jong-Seok; Clüver, Kai; Hua, Xian-Sheng
In many online applications, the range of content that is offered to users is so wide that a need for automated recommender systems arises. Such systems can provide a personalized selection of relevant items to users. In practice, this can help people find entertaining movies, boost sales through
Carson, Russell L.; Landers, Rian Q.; Blankenship, Bonnie Tjeerdsma
Using the expertise from the academy interest areas of the National Association for Sport and Physical Education, the 2010 All-Academy Symposium and this feature set out to discern the promises and pitfalls of youth sport specialization. This final article offers a few conclusions and recommendations based on the multidisciplinary perspectives and…
Results of the technical evaluation of dentistry X-ray equipment of a faculty of Dentistry of Rio Grande do Sul State, based on Regulation 453 of Health Ministry and IRD/CNEN-BR recommendations; Resultados das analises tecnicas realizadas nos equipamentos de raios-X odontologicos de uma faculdade de Odontologia do Rio Grande do Sul, segundo Portaria 453 do Ministerio da Saude e recomendacoes do IRD/CNEN
Staevie, G.L.G.; Jahn, T.R.; Barbieri, D.X.; Mas, C.R Dal; Sbaraini, P.; Saba, J.C.P. [Pontificia Univ. Catolica do Rio Grande do Sul, Porto Alegre, RS (Brazil). Inst. de Pesquisas Cientificas e Tecnologicas. Div. de Engenharia Biomedica]. E-mail: firstname.lastname@example.org
This paper describes the technical evaluation of odontology X-ray equipment installed in a local school of odontology with regard to the fulfillment of requirements of Regulation No. 453, issued by Brazilian Ministry of Health and the recommendations of the Institute of Radiation Protection and Dosimetry, IRD/CNEN. Fifteen intra-oral odontology X-ray equipment were evaluated and their conformities and non-conformities were identified, followed by recommendations to be adopted by the school. (author)
Kraus, V B; Blanco, F J; Englund, M
The objective of this work was to describe requirements for inclusion of soluble biomarkers in osteoarthritis (OA) clinical trials and progress toward OA-related biomarker qualification. The Guidelines for Biomarkers Working Group, representing experts in the field of OA biomarker research from...... both academia and industry, convened to discuss issues related to soluble biomarkers and to make recommendations for their use in OA clinical trials based on current knowledge and anticipated benefits. This document summarizes current guidance on use of biomarkers in OA clinical trials...... and their utility at five stages, including preclinical development and phase I to phase IV trials. As demonstrated by this summary, biomarkers can provide value at all stages of therapeutics development. When resources permit, we recommend collection of biospecimens in all OA clinical trials for a wide variety...
CERN Medical Service
The CERN Medical Service has been closely following, in particular via the WHO, the development of the Ebola virus outbreak currently affecting some African countries. This infectious disease may be passed on through direct contact with the bodily fluids of a sick person. Based on the recommendations of the WHO and the two Host States, Switzerland and France, as updated on their respective websites, so far there has been no ban on travel to the countries concerned. However, unless it is absolutely essential, you are advised not to visit any of the countries affected by Ebola (Guinea, Republic of Sierra Leone, Liberia, Nigeria). The two Host States have established an alert system, and a check is carried out on departure from the airports of those countries. It is strongly recommended that you contact the Medical Service if you are travelling to those countries. We remind you to observe the basic rules of hygiene such as frequent hand washing, whatever your destination. The Medical Service is...
André-Obadia, N; Lamblin, M D; Sauleau, P
Electroencephalography allows the functional analysis of electrical brain cortical activity and is the gold standard for analyzing electrophysiological processes involved in epilepsy but also in several other dysfunctions of the central nervous system. Morphological imaging yields complementary data, yet it cannot replace the essential functional analysis tool that is EEG. Furthermore, EEG has the great advantage of being non-invasive, easy to perform and allows repeat testing when follow-up is necessary, even at the patient's bedside. Faced with advances in knowledge, techniques and indications, the Société de neurophysiologie clinique de langue française (SNCLF) and the Ligue française contre l'épilepsie (LFCE) found it necessary to provide an update on EEG recommendations. This article will review the methodology applied to this work, refine the various topics detailed in the following chapters. It will go over the summary of recommendations for each of these chapters and highlight proposals for writing an EEG report. Some questions could not be answered by review of the literature; in such cases, in addition to the guidelines the working and reading groups provided their expert opinion. Copyright © 2015 Elsevier Masson SAS. All rights reserved.
Recommender systems provide an automatic means of filtering out interesting items, usually based on past similarity of user ratings. In previous work, we have suggested a model that allows users to actively build a recommender network. Users express trust, obtain transparency, and grow (anonymous......) recommender connections. In this work, we propose mining such active systems to generate easily understandable representations of the recommender network. Users may review these representations to provide active feedback. This approach further enhances the quality of recommendations, especially as topics...... of interest change over time. Most notably, it extends the amount of control users have over the model that the recommender network builds of their interests....
... 49 Transportation 4 2010-10-01 2010-10-01 false Recommended Phonetic Alphabet A Appendix A to Part 220 Transportation Other Regulations Relating to Transportation (Continued) FEDERAL RAILROAD...—Recommended Phonetic Alphabet A—ALFA B—BRAVO C—CHARLIE D—DELTA E—ECHO F—FOXTROT G—GOLF H—HOTEL I—INDIA J...
... GROWN IN CALIFORNIA Order Regulating Handling Marketing Policy § 984.48 Marketing estimates and... recommending to the Secretary a marketing policy for such year. Each year such recommendation shall be adopted...; (4) The Board's estimate of the trade demand for such marketing year for shelled and inshell walnuts...
Timotijevic, Lada; Raats, Monique M.; Barnett, Julie
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 st...
Moreno Hernando, J; Thió Lluch, M; Salguero García, E; Rite Gracia, S; Fernández Lorenzo, J R; Echaniz Urcelay, I; Botet Mussons, F; Herranz Carrillo, G; Sánchez Luna, M
During pregnancy, it is not always possible to identify maternal or foetal risk factors. Infants requiring specialised medical care are not always born in centres providing intensive care and will need to be transferred to a referral centre where intensive care can be provided. Therefore Neonatal Transport needs to be considered as part of the organisation of perinatal health care. The aim of Neonatal Transport is to transfer a newborn infant requiring intensive care to a centre where specialised resources and experience can be provided for the appropriate assessment and continuing treatment of a sick newborn infant. Intrauterine transfer is the ideal mode of transport when the birth of an infant with risk factors is diagnosed. Unfortunately, not all problems can be detected in advance with enough time to safely transfer a pregnant woman. Around 30- 50% of risk factors will be diagnosed during labour or soon after birth. Therefore, it is important to have the knowledge and resources to resuscitate and stabilise a newborn infant, as well as a specialised neonatal transport system. With this specialised transport it is possible to transfer newly born infants with the same level of care that they would receive if they had been born in a referral hospital, without increasing their risks or affecting the wellbeing of the newborn. The Standards Committee of the Spanish Society of Neonatology reviewed and updated recommendations for intrauterine transport and indications for neonatal transfer. They also reviewed organisational and logistic factors involved with performing neonatal transport. The Committee review included the type of personnel who should be involved; communication between referral and receiving hospitals; documentation; mode of transport; equipment to stabilise newly born infants; management during transfer, and admission at the referral hospital. Copyright © 2012 Asociación Española de Pediatría. Published by Elsevier Espana. All rights reserved.
Adomavicius, Gediminas; Manouselis, Nikos; Kwon, Youngok
This chapter aims to provide an overview of the class of multi-criteria recommender systems. First, it defines the recommendation problem as a multicriteria decision making (MCDM) problem, and reviews MCDM methods and techniques that can support the implementation of multi-criteria recommenders. Then, it focuses on the category of multi-criteria rating recommenders - techniques that provide recommendations by modelling a user's utility for an item as a vector of ratings along several criteria. A review of current algorithms that use multi-criteria ratings for calculating predictions and generating recommendations is provided. Finally, the chapter concludes with a discussion on open issues and future challenges for the class of multi-criteria rating recommenders.
Robillard, Martin P; Walker, Robert J; Zimmermann, Thomas
With the growth of public and private data stores and the emergence of off-the-shelf data-mining technology, recommendation systems have emerged that specifically address the unique challenges of navigating and interpreting software engineering data.This book collects, structures and formalizes knowledge on recommendation systems in software engineering. It adopts a pragmatic approach with an explicit focus on system design, implementation, and evaluation. The book is divided into three parts: "Part I - Techniques" introduces basics for building recommenders in software engineering, including techniques for collecting and processing software engineering data, but also for presenting recommendations to users as part of their workflow.?"Part II - Evaluation" summarizes methods and experimental designs for evaluating recommendations in software engineering.?"Part III - Applications" describes needs, issues and solution concepts involved in entire recommendation systems for specific software engineering tasks, fo...
Viappiani, Paolo Renato; Boutilier, Craig
Utility elicitation is an important component of many applications, such as decision support systems and recommender systems. Such systems query users about their preferences and offer recommendations based on the system's belief about the user's utility function. We analyze the connection between...... the problem of generating optimal recommendation sets and the problem of generating optimal choice queries, considering both Bayesian and regret-based elicitation. Our results show that, somewhat surprisingly, under very general circumstances, the optimal recommendation set coincides with the optimal query....
Gran, Jackie; Young, Margaret; Broin, Alexandra
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…
Chen, Yunxiao; Li, Xiaoou; Liu, Jingchen; Ying, Zhiliang
An adaptive learning system aims at providing instruction tailored to the current status of a learner, differing from the traditional classroom experience. The latest advances in technology make adaptive learning possible, which has the potential to provide students with high-quality learning benefit at a low cost. A key component of an adaptive learning system is a recommendation system, which recommends the next material (video lectures, practices, and so on, on different skills) to the learner, based on the psychometric assessment results and possibly other individual characteristics. An important question then follows: How should recommendations be made? To answer this question, a mathematical framework is proposed that characterizes the recommendation process as a Markov decision problem, for which decisions are made based on the current knowledge of the learner and that of the learning materials. In particular, two plain vanilla systems are introduced, for which the optimal recommendation at each stage can be obtained analytically.
Felfernig, Alexander; Friedrich, Gerhard; Jannach, Dietmar; Zanker, Markus
Traditional recommendation approaches (content-based filtering  and collaborative filtering) are well-suited for the recommendation of quality&taste products such as books, movies, or news. However, especially in the context of products such as cars, computers, appartments, or financial services those approaches are not the best choice (see also Chapter 11). For example, apartments are not bought very frequently which makes it rather infeasible to collect numerous ratings for one specific item (exactly such ratings are required by collaborative recommendation algorithms). Furthermore, users of recommender applications would not be satisfied with recommendations based on years-old item preferences (exactly such preferences would be exploited in this context by content-based filtering algorithms).
Juul, Niels Christian
Biometric technology is based on the use of information linked to individuals. Hence, privacy and security in biometric applications becomes a concern and the need to assess such applications thoroughly becomes equally important. Guidelines for application of biometric technology must ensure...... a positive impact on both security and privacy. Based on two cases of biometric application, which have been assessed by the Danish Data Protecting Agency, this chapter present a set of recommendations to legislators, regulators, corporations and individuals on the appropriate use of biometric technologies...
Jensen, Christian D.; Pilkauskas, Povilas; Lefévre, Thomas
to the quality of articles. The Wikipedia Recommender System (WRS) was developed to help users determine the credibility of articles based on feedback from other Wikipedia users. The WRS implements a collaborative filtering system with trust metrics, i.e., it provides a rating of articles which emphasizes......The Wikipedia is a web-based encyclopedia, written and edited collaboratively by Internet users. The Wikipedia has an extremely open editorial policy that allows anybody, to create or modify articles. This has promoted a broad and detailed coverage of subjects, but also introduced problems relating...... feedback from recommenders that the user has agreed with in the past. This exposes the problem that most recommenders are not equally competent in all subject areas. The first WRS prototype did not include an evaluation of the areas of expertise of recommenders, so the trust metric used in the article...
Jensen, Christian D.; Pilkauskas, Povilas; Lefevre, Thomas
to the quality of articles. The Wikipedia Recommender System (WRS) was developed to help users determine the credibility of articles based on feedback from other Wikipedia users. The WRS implements a collaborative filtering system with trust metrics, i.e., it provides a rating of articles "which emphasizes......The Wikipedia is a web-based encyclopedia, written and edited collaboratively by Internet users. The Wikipedia has an extremely open editorial policy that allows anybody, to create or modify articles. This has promoted a broad and detailed coverage of subjects, but also introduced problems relating...... feedback from recommenders that the user has agreed with in the past. This exposes the problem that most recommenders are not equally competent in all subject areas. The first WRS prototype did not include an evaluation of the areas of expertise of recommenders, so the trust metric used in the article...
Çano, Erion; Coppola, Riccardo; Morisio, Maurizio; Gargiulo, Eleonora; Marengo, Marco
Driving and music listening are two inseparable everyday activities for millions of people today in the world. Considering the high correlation between music, mood and driving comfort and safety, it makes sense to use appropriate and intelligent music recommendations based on the mood of drivers and songs in the context of car driving. The objective of this paper is to present the project of a contextual mood-based music recommender system capable of regulating the driver's mood and trying to...
Ren, Xiaolong; Lü, Linyuan; Liu, Runran; Zhang, Jianlin
Recommender systems use the historical activities and personal profiles of users to uncover their preferences and recommend objects. Most of the previous methods are based on objects’ (and/or users’) similarity rather than on their difference. Such approaches are subject to a high risk of increasingly exposing users to a narrowing band of popular objects. As a result, a few objects may be recommended to an enormous number of users, resulting in the problem of recommendation congestion, which is to be avoided, especially when the recommended objects are limited resources. In order to quantitatively measure a recommendation algorithm's ability to avoid congestion, we proposed a new metric inspired by the Gini index, which is used to measure the inequality of the individual wealth distribution in an economy. Besides this, a new recommendation method called directed weighted conduction (DWC) was developed by considering the heat conduction process on a user-object bipartite network with different thermal conductivities. Experimental results obtained for three benchmark data sets showed that the DWC algorithm can effectively avoid system congestion, and greatly improve the novelty and diversity, while retaining relatively high accuracy, in comparison with the state-of-the-art methods.
... Preschoolers Infographic How to Make a Healthy Home Dietary Recommendations for Healthy Children Top 10 Tips to Help Children Develop Healthy Habits Fruit and Veggie Toolkit for Kids Healthy Foods ...
US Fish and Wildlife Service, Department of the Interior — This document is a review of land management practices at the Lee Metcalf National Wildlife Refuge, by a land use specialist. Recommendations, time frame and...
US Fish and Wildlife Service, Department of the Interior — This document is a review of land management practices at the Sand Lake National Wildlife Refuge, by a land use specialist. Recommendations, time frame and...
Cleomar Valois Batista Jr
Full Text Available The continued and diversified growth of social networks has changed the way in which users interact with them. With these changes, what once was limited to social contact is now used for exchanging ideas and opinions, creating the need for new features. Users have so much information at their fingertips that they are unable to process it by themselves; hence, the need to develop new tools. Recommender systems were developed to address this need and many techniques were used for different approaches to the problem. To make relevant recommendations, these systems use large sets of data, not taking the social network of the user into consideration. Developing a recommender system that takes into account the social network of the user is another way of tackling the problem. The purpose of this project is to use the theory of six degrees of separation (Watts 2003 amongst users of a social network to enhance existing recommender systems.
National Aeronautics and Space Administration — During the conduct of a NASA Research Announcement (NRA) in 2012 and 2013, the Mosaic ATM team first developed the Strategic Arrivals Recommendation Tool concept, or...
Full Text Available In 2012, CBM’s Medical Eye Care Advisory Working Group met in Hyderabad, India to discuss the inclusion of people with disabilities in eye care.As a result of these discussions, recommendations were made.
The published scientific literature is scanned and periodically evaluated for neutron and non-neutron nuclear data and the resulting recommendations are published [1,2]. After the literature has been scanned and appropriate data collected, there are often problems with regard to the treatment of the various types of data during this evaluation process and with regard to the method by which the recommendations are drawn from the assessment of the collection of individual measurements. Some-problems with uncertainties are presented.
Sanchez-Bocanegra, C L; Sanchez-Laguna, F; Sevillano, J L
People are looking for appropriate health information which they are concerned about. The Internet is a great resource of this kind of information, but we have to be careful if we don't want to get harmful info. Health recommender systems are becoming a new wave for apt health information as systems suggest the best data according to the patients' needs.The main goals of health recommender systems are to retrieve trusted health information from the Internet, to analyse which is suitable for the user profile and select the best that can be recommended, to adapt their selection methods according to the knowledge domain and to learn from the best recommendations.A brief definition of recommender systems will be given and an explanation of how are they incorporated in the health sector. A description of the main elementary recommender methods as well as their most important problems will also be made. And, to finish, the state of the art will be described.
Jain, Rajshree; Tyagi, Jaya; Singh, Sandeep Kumar; Alam, Taj
Recommender systems and context awareness is currently a vital field of research. Most hybrid recommendation systems implement content based and collaborative filtering techniques whereas this work combines context and collaborative filtering. The paper presents a hybrid context aware recommender system for books and movies that gives recommendations based on the user context as well as user or item similarity. It also addresses the issue of dimensionality reduction using weighted pre filtering based on dynamically entered user context and preference of context. This unique step helps to reduce the size of dataset for collaborative filtering. Bias subtracted collaborative filtering is used so as to consider the relative rating of a particular user and not the absolute values. Cosine similarity is used as a metric to determine the similarity between users or items. The unknown ratings are calculated and evaluated using MSE (Mean Squared Error) in test and train datasets. The overall process of recommendation has helped to personalize recommendations and give more accurate results with reduced complexity in collaborative filtering.
Ritchlin, C T; Kavanaugh, A; Gladman, D D; Mease, P J; Helliwell, P; Boehncke, W-H; de Vlam, K; Fiorentino, D; Fitzgerald, O; Gottlieb, A B; McHugh, N J; Nash, P; Qureshi, A A; Soriano, E R; Taylor, W J
To develop comprehensive recommendations for the treatment of the various clinical manifestations of psoriatic arthritis (PsA) based on evidence obtained from a systematic review of the literature and from consensus opinion. Formal literature reviews of treatment for the most significant discrete clinical manifestations of PsA (skin and nails, peripheral arthritis, axial disease, dactylitis and enthesitis) were performed and published by members of the Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA). Treatment recommendations were drafted for each of the clinical manifestations by rheumatologists, dermatologists and PsA patients based on the literature reviews and consensus opinion. The level of agreement for the individual treatment recommendations among GRAPPA members was assessed with an online questionnaire. Treatment recommendations were developed for peripheral arthritis, axial disease, psoriasis, nail disease, dactylitis and enthesitis in the setting of PsA. In rotal, 19 recommendations were drafted, and over 80% agreement was obtained on 16 of them. In addition, a grid that factors disease severity into each of the different disease manifestations was developed to help the clinician with treatment decisions for the individual patient from an evidenced-based perspective. Treatment recommendations for the cardinal physical manifestations of PsA were developed based on a literature review and consensus between rheumatologists and dermatologists. In addition, a grid was established to assist in therapeutic reasoning and decision making for individual patients. It is anticipated that periodic updates will take place using this framework as new data become available.
First page Back Continue Last page Graphics. Eucalyptus is not a bad tree. Eucalyptus is not a bad tree. Its Monoculture being environmentally unsafe, we should discourage its monoculture in arable, arid and semiarid areas. In waterlogged soils however, it could be planted, but preferably mixed with some broad-leaved ...
Clear, R.; Berman, S.
The Illuminating Engineering Society of North America develops light level recommendations for tasks where visual performance is important. The 1959 and 1972 recommendations for illumination levels were based on the principle of delivering a fixed level of performance as predicted by the visual performance models of the time. This same principle is being considered for future revisions to the recommendations. There is currently no explicit method for determining whether a given fixed performance level is in any sense optimal or best. Visual performance increases with lighting levels, but so do economic and environmental costs. These costs lessen the economic benefits of the improved visual performance. A formal method for including these factors in light level recommendations is to restate the problem in terms of net benefits (benefits minus costs). The resulting equations have well defined optima versus light level, and thus give an explicit estimate of what the best lighting levels are in terms of current visual performance models, and current economic conditions. A simple net-benefit procedure is described, and sample calculations are shown for two current visual performance models. Fixed performance levels do not provide economically optimal recommendations with either model. There are also differences between models, but they are less significant than the large differences between the principles of fixed performance levels and economic optimization.
Just over a year ago, the Occupational Safety and Health Administration (OSHA) issued the final bloodborne pathogens standard, "Occupational Exposure to Bloodborne Pathogens; Final Rule," which requires healthcare institutions to protect their employees from all occupational exposure to bloodborne pathogens." According to OSHA, the only criterion for applying the standard is the likelihood of exposure to blood and other potentially infectious materials (OPIMs). Thus, the standard is designed to protect all vulnerable personnel, from the clinical engineers who service contaminated equipment to the staff in clinical laboratories, patient care or treatment areas, and housekeeping and laundry services--any location where the nature of the work poses the risk of exposure to bloodborne pathogens. All department heads and employees must have access to the standard and should carefully review our analysis of the regulations and recommendations for implementing them, as presented in this special issue of Health Devices. The standard is aimed at protecting employees from occupational exposure to all bloodborne pathogens and, especially, to the human immunodeficiency virus (HIV) and the hepatitis B virus (HBV)--the most infamous pathogens transmitted through occupational exposure to blood and body fluids. Other bloodborne diseases referenced by OSHA in the preamble to the standard include arboviral infections, babesiosis, brucellosis, Creutzfeldt-Jakob disease, hepatitis C, human T-lymphotropic virus type I, leptospirosis, malaria, relapsing fever, syphilis, and viral hemorrhagic fever. In this issue, we provide a clinical overview of HIV and HBV and the diseases they cause, as well as a brief discussion of other bloodborne pathogens; an analysis of the most significant regulations affecting hospitals; and our recommendations for compliance. The recommendations presented in this article do not exhaust the possibilities for reducing exposure and complying with the standard. We
Accountability of Australian regulators - Australian Securities and Investments Commission - Australian Prudential Regulation Authority - concept of 'accountability' - mechanisms for accountability...
Wilde, Richard C.
Viewgraphs on extravehicular mobility unit (EMU) portable life support system (PLSS) technology recommendations are presented. Topics covered include: oxygen supply storage; oxygen supply regulators; carbon dioxide control; prime movers; crew comfort; heat rejection; power sources; controls; display devices; and sensor technology.
This article reports on the fi ndings of a study that aimed to explore experts' and patients' opinions and recommendations regarding adherence to antiretroviral medication. This study was prompted firstly by the lack of existing local research on adherence to antiretroviral therapy (ART) and secondly by the importance of ...
In France, the delayed development of day surgery compared to other countries led the ANAP and the HAS in 2011 to enter into a joint work program to provide some reference guide for hospitals to change their practices to outpatient. In this context, organizational guidelines and operational tools were published in May 2013. The method of construction of the recommendations resulting from an original work that combined a three-fold approach: field vision by identifying the highlights of 15 hospitals selected for their representative performance and analyzing the risks of five voluntary hospitals, mobilization organizational theories from the social sciences, using 53 professional experts. The work concluded on 16 organizational recommendations under four forms (basic principles, strategic elements, operational elements and perspectives). These recommendations are accompanied by tools and guides diagnosis and implementation, as well as productions for further reflection. These organizational recommendations confirmed the specificity of day surgery, which is not related to the act, but to the organization, management and optimization of different flows of a hospital (patient flow, professional flows, logistical, informational…). The performance of a day surgery organization is linked to its ability to control its flow and anticipation. Copyright © 2013 Elsevier Masson SAS. All rights reserved.
Gymrek, Melissa; Farjoun, Yossi
Life science research increasingly relies on large-scale computational analyses. However, the code and data used for these analyses are often lacking in publications. To maximize scientific impact, reproducibility, and reuse, it is crucial that these resources are made publicly available and are fully transparent. We provide recommendations for improving the openness of data-driven studies in life sciences.
Advancements in information, communication, and sensor technologies have led to new opportunities in medical care and education. Patients in general prefer visiting the nearest clinic, attempt to avoid waiting for treatment, and have unequal preferences for different clinics and doctors. Therefore, to enable patients to compare multiple clinics, this study proposes a ubiquitous multicriteria clinic recommendation system. In this system, patients can send requests through their cell phones to the system server to obtain a clinic recommendation. Once the patient sends this information to the system, the system server first estimates the patient's speed according to the detection results of a global positioning system. It then applies a fuzzy integer nonlinear programming-ordered weighted average approach to assess four criteria and finally recommends a clinic with maximal utility to the patient. The proposed methodology was tested in a field experiment, and the experimental results showed that it is advantageous over two existing methods in elevating the utilities of recommendations. In addition, such an advantage was shown to be statistically significant.
Bochicchio, F; Hulka, J; Ringer, W; Rovenská, K; Fojtikova, I; Venoso, G; Bradley, E J; Fenton, D; Gruson, M; Arvela, H; Holmgren, O; Quindos, L; McLaughlin, J; Collignan, B; Gray, A; Grosche, B; Jiranek, M; Kalimeri, K; Kephalopoulos, S; Kreuzer, M; Schlesinger, D; Zeeb, H; Bartzis, J
Results from epidemiological studies on lung cancer and radon exposure in dwellings and mines led to a significant revision of recommendations and regulations of international organisations, such as WHO, IAEA, Nordic Countries, European Commission. Within the European project RADPAR, scientists from 18 institutions of 14 European countries worked together for 3 y (2009-12). Among other reports, a comprehensive booklet of recommendations was produced with the aim that they should be useful both for countries with a well-developed radon programme and for countries with little experience on radon issues. In this paper, the main RADPAR recommendations on radon programmes and policies are described and discussed. These recommendations should be very useful in preparing a national action plan, required by the recent Council Directive 2013/59/Euratom. © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please email: email@example.com.
Barnes, Christopher M; Drake, Christopher L
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.
Recommendation systems have become very popular in E-commerce websites. Many of the largest commerce websites are already using recommender technologies to help their customers find products to purchase. An electronic commerce recommendation system learns from a customer and recommends products that the customer will find most valuable from among the available products. But most recommendation methods are hard-wired into the system and they support only fixed recommendations. This paper presented a framework of flexible electronic commerce recommendation system. The framework is composed by user model interface, recommendation engine, recommendation strategy model, recommendation technology group, user interest model and database interface. In the recommender strategy model, the method can be collaborative filtering, content-based filtering, mining associate rules method, knowledge-based filtering method or the mixed method. The system mapped the implementation and demand through strategy model, and the whole system would be design as standard parts to adapt to the change of the recommendation strategy.
Beel, Joeran; Carevic, Zeljko; Schaible, Johann; Neusch, Gabor
Recommender-system datasets are used for recommender-system evaluations, training machine-learning algorithms, and exploring user behavior. While there are many datasets for recommender systems in the domains of movies, books, and music, there are rather few datasets from research-paper recommender systems. In this paper, we introduce RARD, the Related-Article Recommendation Dataset, from the digital library Sowiport and the recommendation-as-a-service provider Mr. DLib. The dataset contains ...
Guseva, A. I.; Kireev, V. S.; Bochkarev, P. V.; Kuznetsov, I. A.; Philippov, S. A.
This article discusses the questions associated with the use of reference systems in the preparation of graduates in physical function. The objective of this research is creation of model of recommender system user from the sphere of science and education. The detailed review of current scientific and social network for scientists and the problem of constructing recommender systems in this area. The result of this study is to research user information model systems. The model is presented in two versions: the full one - in the form of a semantic network, and short - in a relational form. The relational model is the projection in the form of semantic network, taking into account the restrictions on the amount of bonds that characterize the number of information items (research results), which interact with the system user.
When discussing health risks for children due to electromagnetic fields it is crucial to translate scientific knowledge both into adequate protection and precautionary measures for the general public and, more particularly into specific recommendations for children. It is often aimed at influencing health-related attitudes and behaviour by means of information about health affecting behaviour, health risk factors, and health promoting possibilities. Children have to be treated differently from adults in addressing their ability and willingness to modify behaviour and their competence to comprehend cognitively the sense of behavioural recommendations. Research has shown that adults can be motivated to adjust their own behaviour in order to protect their children or to be role models for their children. Hence one way to modify children's behaviour is to address the parents and care persons. Generally education in the family, the social environment and in peer groups, nursery school and at school plays an important role in forming and influencing individual behaviour. The age of the target group has also to be taken into consideration. An important question is how to deal with scientific uncertainties when expressing EMF recommendations for children. Accentuating scientific uncertainties may under certain circumstances raise risk awareness. This can be an intended effect. But the expression of scientific uncertainties can also lead to unintended consequences in parent's behaviour or even senseless dealing with the respective EMF source. The paper points out relevant aspects of risk communication regarding EMF and children and suggests how recommendations for children might be designed. Copyright © 2011 Elsevier Ltd. All rights reserved.
Kurtz, Michael J.; Henneken, Edwin A.
The rate at which scholarly literature is being produced has been increasing at approximately 3.5 percent per year for decades. This means that during a typical 40 year career the amount of new literature produced each year increases by a factor of four. The methods scholars use to discover relevant literature must change. Just like everybody else involved in information discovery, scholars are confronted with information overload. Two decades ago, this discovery process essentially consisted of paging through abstract books, talking to colleagues and librarians, and browsing journals. A time-consuming process, which could even be longer if material had to be shipped from elsewhere. Now much of this discovery process is mediated by online scholarly information systems. All these systems are relatively new, and all are still changing. They all share a common goal: to provide their users with access to the literature relevant to their specific needs. To achieve this each system responds to actions by the user by displaying articles which the system judges relevant to the user's current needs. Recently search systems which use particularly sophisticated methodologies to recommend a few specific papers to the user have been called "recommender systems". These methods are in line with the current use of the term "recommender system" in computer science. We do not adopt this definition, rather we view systems like these as components in a larger whole, which is presented by the scholarly information systems themselves. In what follows we view the recommender system as an aspect of the entire information system; one which combines the massive memory capacities of the machine with the cognitive abilities of the human user to achieve a human-machine synergy.
Full Text Available Aggregated recommendation refers to the process of suggesting one kind of items to a group of users. Compared to user-oriented or item-oriented approaches, it is more general and, therefore, more appropriate for cold-start recommendation. In this paper, we propose a random forest approach to create aggregated recommender systems. The approach is used to predict the rating of a group of users to a kind of items. In the preprocessing stage, we merge user, item, and rating information to construct an aggregated decision table, where rating information serves as the decision attribute. We also model the data conversion process corresponding to the new user, new item, and both new problems. In the training stage, a forest is built for the aggregated training set, where each leaf is assigned a distribution of discrete rating. In the testing stage, we present four predicting approaches to compute evaluation values based on the distribution of each tree. Experiments results on the well-known MovieLens dataset show that the aggregated approach maintains an acceptable level of accuracy.
Lau, Chak Sing; Chia, Faith; Harrison, Andrew; Hsieh, Tsu-Yi; Jain, Rahul; Jung, Seung Min; Kishimoto, Mitsumasa; Kumar, Ashok; Leong, Khai Pang; Li, Zhanguo; Lichauco, Juan Javier; Louthrenoo, Worawit; Luo, Shue-Fen; Nash, Peter; Ng, Chin Teck; Park, Sung-Hwan; Suryana, Bagus Putu Putra; Suwannalai, Parawee; Wijaya, Linda Kurniaty; Yamamoto, Kazuhiko; Yang, Yue; Yeap, Swan Sim
Rheumatoid arthritis is a chronic inflammatory condition that affects approximately 1% of the world's population. There are a wide number of guidelines and recommendations available to support the treatment of rheumatoid arthritis; however, the evidence used for these guidelines is predominantly based on studies in Caucasian subjects and may not be relevant for rheumatoid arthritis patients in the Asia-Pacific region. Therefore, the Asia Pacific League of Associations for Rheumatology established a Steering Committee in 2013 to address this issue. The AGREE II instrument and the ADAPTE Collaboration framework were applied to systematically identify, appraise, synthesize, and adapt international rheumatoid arthritis guidelines for use in the Asia-Pacific region. Forty rheumatoid arthritis treatment recommendations, based on evidence and expert opinion, were drafted and are presented in this report. The Asia Pacific of Associations for Rheumatology rheumatoid arthritis treatment recommendations are intended to serve as a reference for best practice management of rheumatoid arthritis in Asia-Pacific, focusing on local issues to ensure the delivery of basic care for these patients, and to improve their outcomes. In addition, the document will serve as a reference for national rheumatology associations in Asia-Pacific for developing guidelines in their respective countries. © 2015 Asia Pacific League of Associations for Rheumatology and Wiley Publishing Asia Pty Ltd.
Full Text Available Abstract Post-translational modifiers of the SUMO (Small Ubiquitin-related Modifier family have emerged as key regulators of protein function and fate. While the past few years have seen an enormous increase in knowledge on SUMO enzymes, substrates, and consequences of modification, regulation of SUMO conjugation is far from being understood. This brief review will provide an overview on recent advances concerning (i the interplay between sumoylation and other post-translational modifications at the level of individual targets and (ii global regulation of SUMO conjugation and deconjugation.
A SETAC Pellston Workshop™ ?‘Environmental Hazard and Risk Assessment Approaches for Endocrine-Active Substances (EHRA)’ was held from 31st January to 5th February 2016 in Pensacola, Florida, USA. The primary aim of the workshop was to provide objective advice, based on current scientific understanding, to regulators and policy makers, whether in industry, government or academia. The aim being to make considered, informed decisions on whether to select an environmental hazard- or a risk-based approach for regulating a given endocrine-disrupting substance (EDS) under review. The workshop additionally considered recent developments in the identification of EDS. Case studies were undertaken on six endocrine active substances (EAS not necessarily proven EDS), that are representative of a range of endocrine system perturbations and considered to be data-rich in relevant information at multiple biological levels of organisation for one or more ecologically-relevant taxa. The substances selected were 17á-ethinylestradiol, perchlorate, propiconazole, 17â-trenbolone, tributyltin and vinclozolin. The six case studies were not comprehensive safety evaluations, but provided the foundations for clarifying key issues and procedures that should be considered when assessing the environmental hazards and risks of EAS and EDS. The workshop also highlighted areas of scientific uncertainty, and made specific recommendations for research and methods-development to resolve
Weng, Li-Tung; Xu, Yue; Li, Yuefeng; Nayak, Richi
Nowadays most existing recommender systems operate in a single organisational basis, i.e. a recommender system recommends items to customers of one organisation based on the organisation's datasets only. Very often the datasets of a single organisation do not have sufficient resources to be used to generate quality recommendations. Therefore, it would be beneficial if recommender systems of different organisations with similar nature can cooperate together to share their resources and recommendations. In this chapter, we present an Ecommerce-oriented Distributed Recommender System (EDRS) that consists of multiple recommender systems from different organisations. By sharing resources and recommendations with each other, these recommenders in the distributed recommendation system can provide better recommendation service to their users. As for most of the distributed systems, peer selection is often an important aspect. This chapter also presents a recommender selection technique for the proposed EDRS, and it selects and profiles recommenders based on their stability, average performance and selection frequency. Based on our experiments, it is shown that recommenders' recommendation quality can be effectively improved by adopting the proposed EDRS and the associated peer selection technique.
Li, Zuoquan; Lin, Yubei; Zhang, Xingming
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.
The subject of the paper is to analyse the possibilities of application of recommender systems in the field of data mining. The work focuses on three basic types of recommender systems (collaborative, content-based and hybrid). The goal of the article is to evaluate which of these three concepts of recommender systems provides forecast with the lowest error rate in the domain of recommending movies. This target is fulfilled by the practical part of the work - at first, the own recommender system was designed and created, capable of obtaining movies recommendation from the database based on the user's preferences. Next, we verified experimentally which recommender system produces more accurate results.
Gjertson, David W; Brenner, Charles H; Baur, Max P
The Paternity Testing Commission (PTC) of the International Society for Forensic Genetics has taken up the task of establishing the biostatistical recommendations in accordance with the ISO 17025 standards and a previous set of ISFG recommendations specific to the genetic investigations in patern......The Paternity Testing Commission (PTC) of the International Society for Forensic Genetics has taken up the task of establishing the biostatistical recommendations in accordance with the ISO 17025 standards and a previous set of ISFG recommendations specific to the genetic investigations...... in paternity cases. In the initial set, the PTC recommended that biostatistical evaluations of paternity are based on a likelihood ratio principle - yielding the paternity index, PI. Here, we have made five supplementary biostatistical recommendations. The first recommendation clarifies and defines basic....../reconstruction and immigration cases), respectively. The fourth recommendation considers strategies regarding genetic evidence against paternity. The fifth recommendation covers necessary documentation, reporting details and assumptions underlying calculations. The PTC strongly suggests that these recommendations should...
María Rosa Alhambra-Expósito
Full Text Available Rheumatoid arthritis (RA is a chronic autoimmune disease that has a significant effect on patients’ physical, emotional, and social functioning. For decades, patients have used different diets to try to improve the symptoms of RA. The possible benefits of dietary therapy for rheumatoid arthritis are reviewed in this article. Nutritional objectives for RA, are to halt the loss of bone mass, promote healing of bone fractures and improving bone-associated inflammatory disorders and joints. In general, diets low in saturated fat, rich in polyunsaturated fats: omega 3 and omega 6, rich in complex carbohydrates and fiber are recommended.
Skolarczyk, Justyna; Łabądź, Dawid; Pekar, Joanna; Nieradko-Iwanicka, Barbara
Skolarczyk Justyna, Łabądź Dawid, Pekar Joanna, Nieradko-Iwanicka Barbara. Vaccination recommended for pregnant women. Journal of Education, Health and Sport. 2017;7(4):682-688. eISSN 2391-8306. DOI http://dx.doi.org/10.5281/zenodo.569050 http://ojs.ukw.edu.pl/index.php/johs/article/view/4423 The journal has had 7 points in Ministry of Science and Higher Education parametric evaluation. Part B item 1223 (26.01.2017). 1223 Journal of Education, Health and Sport eI...
Hu, Xuezhi; Zhang, Chuang; Wu, Ming; Zeng, Yang
Most recommendation systems in the major electronic commerce platforms are influenced by the long tail effect more or less. There are sufficient researches of how to assess recommendation effect while no criteria to evaluate long tail recommendation rate. In this study, we first discussed the existing problems of recommending long tail products through specific experiments. Then we proposed a long tail evaluation criteria and compared the performance in long tail recommendation between different models.
Mobile reading is the trend of current publishing industry. Intelligent Recommendation system is useful and profitable for mobile reading platforms. Currently, intelligent recommendation systems mainly focus on news recommendation or production recommendation in e-commerce. In this paper, we designed and implemented an intelligent recommendation system based on slope one algorithm. Results show that our algorithm can help the users to find their interested books and thus greatly improve the income of mobile reading platform.
Environmental impacts of fracking in the exploration and production of natural gas from unconventional deposits. Risk assessment, recommendations for action and evaluation of existing legal regulations and administrative structures; Umweltauswirkungen von Fracking bei der Aufsuchung und Gewinnung von Erdgas aus unkonventionellen Lagerstaetten. Risikobewertung, Handlungsempfehlungen und Evaluierung bestehender rechtlicher Regelungen und Verwaltungsstrukturen
Meiners, Georg; Denneborg, Michael; Mueller, Frank [ahu AG Wasser - Boden - Geomatik, Aachen (Germany); Bergmann, Axel; Weber, Frank-Andreas; Dopp, Elke; Hansen, Carsten; Schueth, Christoph [IWW Rheinisch-Westfaelisches Institut fuer Wasser - Beratungs- und Entwicklungsgesellschaft mbH, Muelheim an der Ruhr (Germany)
We examine the water-related environmental impacts and the risks for human health and the environment that could potentially be caused by hydraulic fracturing (fracking) during exploration and exploitation of unconventional natural gas reservoirs in Germany. This study covers both scientific-technical aspects and the existing mining and environmental regulations. Both were analyzed with respect to consistency, differences and current gaps of knowledge and lack of relevant information. After a general introduction, this study is divided into four sections: We first focus on the description of geospatial conditions, technical aspects and the chemical additives employed by hydraulic fracturing (Part A) and the existing regulatory and administrative framework (Part B), before we conduct a risk and deficit analysis (Part C) and derive recommendations for further actions and proceedings (Part D). The foundation of a sound risk analysis is a description of the current system, the relevant effect pathways and their interactions. We describe known and assumed unconventional natural gas reservoirs in Germany based on publicly available information. We present qualitatively the relevant system interactions for selected geosystems and assess potential technical and geological effect pathways. With regard to the technical aspects, we describe the principles of rock mechanics and provide an overview of the technical fracturing process. In terms of groundwater protection, the key focus is on borehole completion, modelling of fracture propagation and the longterm stability of the borehole (incl. cementation). The injected fracturing fluids contain proppants and several additional chemical additives. The evaluation of fracturing fluids used to date in Germany shows that even in newer fluids several additives were used which exhibit critical properties and/or for which an assessment of their behaviour and effects in the environment is not possible or limited due to lack of the
Müller, Matthias Otto
Focusing on ways that energy-efficient building renovation can be accelerated, this book reviews current literature, offers policy recommendations and proposed regulations and sketches a business model supporting the diffusion of energy-efficient renovations.
Full Text Available Attack methodologies transform with the transforming dynamics of technology. Consequently it becomes imperative that individuals and organization implement the highest levels of security within their devices and infrastructure for optimal protection against these rapidly evolving attacks. Ransomware is one such attack that never fails to surprise in terms of its ability to identify vulnerabilities and loopholes in technology. This paper discusses the categories of ransomware its common attack vectors and provides a threat landscape with the aim to highlight the true potential and destructive nature of such malware based attacks. In this paper we also present the most current ransomware attack that is still a potential threat and also provide recommendations and strategies for prevention and protection against these attacks. A novel solution is also discussed that could be further worked upon in the future by other researchers and vendors of security devices.
Full Text Available The vitamin D has recently been the subject of many researches, demonstrating new effects, reinforcing the interest for this molecule. The interest to develop products fortified with vitamin D is thus very important. Regarding references values, it is necessary to distinguish the RDAs (Recommended Daily Allowances, single value set up at 5 μg/d for vitamin D at the European level, in order to be a reference and a labeling value, from the nutritional recommendations. These recommendations are defined by groups of population. The values vary according to the countries and the dates on which they were set, the most recent being usually higher. The vitamin D fortification is less constrained in France today than before 2006. To fortify a food with vitamin D, it is necessary to follow the rules set by the Regulation 1925/2006/EC, and use the formulations authorized, demonstrate the nutritional benefit of the fortification, and ensure that the fortification does not lead to a risk for the health of the consumers. In some countries, the vitamin D fortification has been made mandatory for some foods. In France, several products are fortified with vitamin D, especially dairy products, but also some breakfast cereals and vegetable oils. Finally, the communication that can be made on vitamin D in food or advertising is strictly regulated by the Regulation 1924/2006/EC.
Frankel, Christian; Galland, Jean-Pierre
This paper focuses on the European Regulatory system which was settled both for opening the Single Market for products and ensuring the consumers' safety. It claims that the New Approach and Standardization, and the Global Approach to conformity assessment, which suppressed the last technical...... barriers to trade in Europe, realized the free movement of products by organizing progressively several orders of markets and regulation. Based on historical and institutional documents, on technical publications, and on interviews, this article relates how the European Commission and the Member States had...... alternatively recourse to markets and to regulations, at the three main levels of the New Approach Directives implementation. The article focuses also more specifically on the Medical Devices sector, not only because this New Approach sector has long been controversial in Europe, and has recently been concerned...
Zachry, Anne H; Kitzmann, Katherine M
We examined caregiver awareness of the American Academy of Pediatrics' prone play recommendation, determined the primary sources of the recommendation, and examined why some infants are not provided "tummy time." Of caregivers, 25...
Manouselis, Nikos; Drachsler, Hendrik; Vuorikari, Riina; Hummel, Hans; Koper, Rob
Manouselis, N., Drachsler, H., Vuorikari, R., Hummel, H. G. K., & Koper, R. (2011). Recommender Systems in Technology Enhanced Learning. In P. B. Kantor, F. Ricci, L. Rokach, & B. Shapira (Eds.), Recommender Systems Handbook (pp. 387-415). Berlin: Springer.
... ZIP code here Lifestyle Changes Recommended for PTSD Patients Public This section is for Veterans, General Public, Family, & Friends Lifestyle Changes Recommended for PTSD Patients People with PTSD need to take active steps ...
Roshchina, Alexandra; Cardiff, John; Rosso, Paolo
This paper presents the Tell me What I Need (TWIN) Personality-based Intelligent Recommender System, the goal of which is to recommend items chosen by like-minded (or twin ) people with similar personality types which we estimate from their writings. In order to produce recommendations it applies the results achieved in the personality from the text recognition research field to Personality-based Recommender System user profile modelling. In this way it creates a bridge between the efforts...
Drachsler, Hendrik; Verbert, Katrien; Santos, Olga C.; Manouselis, Nikos
This chapter presents an analysis of recommender systems in TechnologyEnhanced Learning along their 15 years existence (2000-2014). All recommender systems considered for the review aim to support educational stakeholders by personalising the learning process. In this meta-review 82 recommender
Modiano, Nancy; And Others
The present recommendations are addressed to the Bureau of Indian Affairs and to tribal and community groups, educators, legislators, administrators and policy-makers everywhere who are interested in and concerned with the problems of Indian education. Ten major recommendations and several ancillary recommendations are put forward. They concern…
Veiby, Gyri; Bjørk, Marte; Engelsen, Bernt A; Gilhus, Nils Erik
The objective of this paper is to provide a synopsis of benefits and potential harmful effects of exposure to antiepileptic drugs (AEDs) via breastmilk, and present recommendations for breastfeeding in women with epilepsy. The article is based on a discretionary selection of English language articles retrieved by a literature search in the PubMed database, the LactMed database, and the authors' clinical experience. Breastfeeding is associated with benefits for the infant, including nutrition, protection against infectious and immunological disease, and promotion of development and psychological attachment. Exposure to AEDs via breastmilk could potentially produce side effects or negatively affect development. Most studies on AED transfer through breastmilk report infant serum levels well below the limit of an expected pharmacological effect. Some drugs have the potential to reach significant serum levels in breastfed infants, such as barbiturates, benzodiazepines, lamotrigine, and ethosuximide. Thus, breastfed infants should be monitored for side effects. Still, adverse symptoms are rarely reported in breastfed infants of mothers taking AEDs, and prospective studies have failed to demonstrate any negative developmental effects in children that have been exposed to AEDs via breastmilk. The nursing infant's degree of drug exposure can be minimized by breastfeeding when drug concentrations in the milk are low, reducing maternal AED dosage to prepregnancy levels, and administering mixed nutrition. Most AEDs are considered safe or moderately safe during breastfeeding. Mothers with epilepsy should be encouraged to breastfeed, provided careful monitoring of the infant. Copyright © 2015 British Epilepsy Association. Published by Elsevier Ltd. All rights reserved.
Robertson, Sherry; Benardot, Dan; Mountjoy, Margo
The sport of synchronized swimming is unique, because it combines speed, power, and endurance with precise synchronized movements and high-risk acrobatic maneuvers. Athletes must train and compete while spending a great amount of time underwater, upside down, and without the luxury of easily available oxygen. This review assesses the scientific evidence with respect to the physiological demands, energy expenditure, and body composition in these athletes. The role of appropriate energy requirements and guidelines for carbohydrate, protein, fat, and micronutrients for elite synchronized swimmers are reviewed. Because of the aesthetic nature of the sport, which prioritizes leanness, the risks of energy and macronutrient deficiencies are of significant concern. Relative Energy Deficiency in Sport and disordered eating/eating disorders are also of concern for these female athletes. An approach to the healthy management of body composition in synchronized swimming is outlined. Synchronized swimmers should be encouraged to consume a well-balanced diet with sufficient energy to meet demands and to time the intake of carbohydrate, protein, and fat to optimize performance and body composition. Micronutrients of concern for this female athlete population include iron, calcium, and vitamin D. This article reviews the physiological demands of synchronized swimming and makes nutritional recommendations for recovery, training, and competition to help optimize athletic performance and to reduce risks for weight-related medical issues that are of particular concern for elite synchronized swimmers.
Biesalski, Hans K
Vitamin D plays an important role in regular bone growth and in adequate function of the innate immune system, including barrier functions of mucous membranes. A sufficient supply during pregnancy and lactation protects the child from infectious diseases. Clinical symptoms of severe vitamin D deficiency (rickets) are well known and can be easily detected. Signs and symptoms beyond deficiency, however, remain to be elucidated. Based on clinical and observational data, the plasma level of 25(OH)D may serve as a 'marker' to detect or define a subclinical deficiency. Levels below 50 nmol/l might be insufficient to maintain the non-bone-related activities of vitamin D. Finally, it has to be considered that all of the nonbone activities of vitamin D are in concert with vitamin A (9-cis retinoic acid). Studies combining both vitamins in sufficient amounts (cod liver oil) demonstrated a beneficial effect on the prevention of respiratory tract infections. Consequently, it should be strongly recommended to increase the intake of vitamin D and to ensure a daily intake of vitamin A as counseled. Copyright © 2011 S. Karger AG, Basel.
Henneken, Edwin A.; Kurtz, M. J.; Accomazzi, A.; Grant, C. S.; Thompson, D.; Bohlen, E.; Di Milia, G.; Luker, J.; Murray, S. S.
Authors publish because they want to transfer information. An essential ingredient for this transfer is being able to find this information. As the Literature Universe is expanding rapidly, finding your way in this deluge of information can be a daunting task. How do you find what you are looking for in a reasonable amount of time and more importantly, information you could not have found using the normal information discovery model? When you have some prior information (like author names and/or subject keywords), you can use your favorite search engine and apply that information as filters. There are also more sophisticated services like the myADS service of the SAO/NASA Astrophysics Data System (ADS), that do intelligent filtering for you and provide you with customized suggestions. Alternatively, you can ask somebody you consider to be an expert. On this poster we describe a method (the "recommender system") that mimics this information "ask the export" discovery model, argue that it is practically feasible to incorporate this method as a useful addition to the existing ADS service and show that it is able to produce meaningful results. The ADS is funded by NASA Grant NNX09AB39G.
On 21 June 2000 the Commission received a reference from the Treasurer on telecommunications-specific competition regulation for inquiry and report within 12 months of receipt of the reference. In conducting the review, the Commission was to have regard to the state of competition in the telecommunications market, and the impact of new technologies and delivery platforms. In making its recommendations, the Commission would aim to improve the overall economic performance of the Australian econ...
Christian W. Kretzmann
Full Text Available Our study documents that the information content and the information processing of stock recommendations differ fundamentally between expansions and recessions. The initial market reaction to all recommendations is stronger in recessions, but “Buy” recommendations do not have long-term investment value. We find that in recessions sell side analysts are too optimistic about the stocks they recommend to buy, while investors initially overreact to these recommended stocks. In expansions, no such contradicting pattern exists. We also document that analysts favor “glamour” over “value” stocks irrespective of the state of the economy.
Bogers, Toine; Koolen, Marijn
of the user's past transactions as well as a narrative description of their current interest(s). Through an analysis of a set of real-world recommendation narratives from the LibraryThing forums, we demonstrate the uniqueness and richness of this scenario and highlight common patterns and properties......: evaluating recommended items never takes place in a vacuum, and it is often a single step in the user's more complex background task. In this paper, we define a specific type of recommendation scenario called narrative-driven recommendation, where the recommendation process is driven by both a log...... of such narratives....
O'Neill, Thomas R; Marks, Casey; Wendt, Anne
The purpose of this research was to provide sufficient information to the National Council of State Boards of Nursing (NCSBN) to make a defensible recommended passing standard for English proficiency. This standard was based upon the Test of English as a Foreign Language (TOEFL). A large panel of nurses and nurse regulators (N = 25) was convened to determine how much English proficiency is required to be minimally competent as an entry-level nurse. Two standard setting procedures were combined to produce recommendations for each panelist. In conjunction with collateral information, these recommendations were reviewed by the NCSBN Examination Committee, which decided upon an NCSBN recommended standard, a TOEFL score of 220.
Mayur K. Ranchordas
Full Text Available Tennis is a pan-global sport that is played year-round in both hemispheres. This places notable demands on the physical and psychological preparation of players and included in these demands are nutritional and fluid requirements both of training and match- play. Thus, the purpose of this article is to review nutritional recommendations for tennis. Notably, tennis players do not excel in any particular physiological or anthropometric characteristic but are well adapted in all areas which is probably a result of the varied nature of the training demands of tennis match play. Energy expenditures of 30.9 ± 5.5 and 45.3 ± 7.3 kJ·min-1 have been reported in women and men players respectively regardless of court surface. Tennis players should follow a habitually high carbohydrate diet of between 6-10 g·kg-1·d-1 to ensure adequate glycogen stores, with women generally requiring slightly less than men. Protein intake guidelines for tennis players training at a high intensity and duration on a daily basis should be ~1.6 g·kg-1·d-1 and dietary fat intake should not exceed 2 g·kg-1·d-1. Caffeine in doses of 3 mg·kg-1 provides ergogenic benefit when taken before and/or during tennis match play. Depending on environmental conditions, sweat rates of 0.5 to and over 5 L·hr-1 and sodium losses of 0.5 - 1.8 g have been recorded in men and women players. 200 mL of fluid containing electrolytes should be consumed every change-over in mild to moderate temperatures of 400 mL. 30-60 g·hr-1 of carbohydrate should be ingested when match play exceeds 2 hours.
Ballard, W P; Gold, J P; Charlson, M E
Compliance with the consultant's recommendations is one measure of the effectiveness of a consultation. A previous study showed that compliance was better when fewer recommendations were made. In the subsequent year, consultants were encouraged to limit their recommendations to five or fewer. Despite a significant decrease in the number of recommendations, compliance rates remained essentially unchanged (72%). Multivariate analysis demonstrated that the clinical severity of the patient's disease and the number of associated problems, as well as the types of recommendations, were significant predictors of compliance. Compliance was best for recommendations involving medications (84%) and worst for recommendations involving diagnostic tests (62%). Compliance was also evaluated in the context of a surgeon's view of the appropriateness of the recommendations. For recommendations felt to be essential to patient care the compliance rate was 75%, but it was only 44% for recommendations judged nonessential (p less than 0.001). The consulting internist should be aware that the surgeon's view of the relevance of the recommendations to patient care needs may have an important effect on compliance.
Full Text Available With the development of information technology and application of the Internet, People gradually entered the time of information overload from information scarcity. User satisfaction with recommender systems is related not only to how accurately the system recommends but also to how much it supports the user’s decision making. Novelty is one of the important metrics of customer satisfaction. There is an increasing realization in the Recommender Systems (RS field that novelty is fundamental qualities of recommendation effectiveness and added-value. This paper combed research results about definition and algorithm of novel recommendation, and starting from the meaning of "novel", defined novelty of item in recommendation system. Experiment proved using the definition of novelty to recommend can effectively recognize the item that the user is familiar with and ensure certain accuracy.
Full Text Available In this paper, we propose a general framework for an intelligent recommender system that extends the concept of a knowledge-based recommender system. The intelligent recommender system exploits knowledge, learns, discovers new information, infers preferences and criticisms, among other things. For that, the framework of an intelligent recommender system is defined by the following components: knowledge representation paradigm, learning methods, and reasoning mechanisms. Additionally, it has five knowledge models about the different aspects that we can consider during a recommendation: users, items, domain, context and criticisms. The mix of the components exploits the knowledge, updates it and infers, among other things. In this work, we implement one intelligent recommender system based on this framework, using Fuzzy Cognitive Maps (FCMs. Next, we test the performance of the intelligent recommender system with specialized criteria linked to the utilization of the knowledge in order to test the versatility and performance of the framework.
Jia Zhi Yang
Full Text Available This paper proposes the development of an Agent framework for tourism recommender system. The recommender system can be featured as an online web application which is capable of generating a personalized list of preference attractions for tourists. Traditional technologies of classical recommender system application domains, such as collaborative filtering, content-based filtering and content-based filtering are effectively adopted in the framework. In the framework they are constructed as Agents that can generate recommendations respectively. Recommender Agent can generate recommender information by integrating the recommendations of Content-based Agent, collaborative filtering-based Agent and constraint-based Agent. In order to make the performance more effective, linear combination method of data fusion is applied. User interface is provided by the tourist Agent in form of webpages and mobile app.
plagiarism detection engines such as Turnitin can be so successful. Other word sequences are not distinct. “To be or not to be” and “four score and seven...disk. By design , Bloomfilters cannot have false negatives but can have false positives. A Bloom filter with m ¼ 232 and k ¼ 4 storing 80 million...blocks that were shared in multiple files which could not be safely removed.We re- designed the tool so that it would remove any sequence of sectors from
Bogers, Toine; van den Bosch, Antal
Social bookmarking websites are rapidly growing in popularity. Recommender systems, a promising remedy to the information overload accompanying the explosive growth in content, are designed to identify which unseen content might be of interest to a particular user, based on his or her past...... preferences. Most previous work in recommendation for social bookmarking suffers from a lack of comparisons between the different available approaches. In this article, we address this issue by comparing and evaluating eight recommendation approaches on four data sets from two domains. We find that approaches...... that use tag overlap and metadata provide better results for social bookmarking data sets than the transaction patterns that are used traditionally in recommender systems research. In addition, we investigate how to fuse different recommendation approaches to further improve recommendation accuracy. We...
Yu, Fei; Zeng, An; Gillard, Sébastien; Medo, Matúš
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.
Stones, Alan; Bastikar, Arvind
The Consultative Committee for Space Data Systems (CCSDS) was formed to make recommendations on the systematic harmonization of space data system standards. CCSDS membership includes national space agencies, space data systems experts, and aerospace industries. CCSDS activities are executed by four expert panels supported by a secretariat and coordinated by a technical steering group and a management council. Panel conclusions are ultimately published as recommendations and technical reports. Two independent sets of CCSDS recommendations exist: conventional telemetry and command systems, and advanced orbiting systems. An overview of the basic design philosophies behind the CCSDS recommendations is provided, referring to communications protocols, layering of systems, separation of source data formats from transmission data formats, coding, and grade of service. The subject of cross-support is addressed and the present degree of acceptance of CCSDS recommendations is reviewed. Some implementation feedback is presented. The advantages and disadvantages of CCSDS recommendations in regard to Canadian small-satellite programs are discussed.
Full Text Available With the rapid development and extensive application of Web services, various approaches for Web service recommendation have been proposed in the past. However, the traditional methods only utilize the information of the user-service rating matrix but ignore the trust relations between users, so their recommendation precision is often unsatisfactory, and, furthermore, most of these methods lack the ability to distinguish the credibility of recommendation. To address the problems, we proposed a personalized service recommendation based on trust relationship. In particular, our approach takes into account user experience, interest background, recommendation effect, and evaluation tendency in the formalization of trust relationship, and moreover it can filter out useless or suspected services by exploiting trust relationships between users. To verify the proposed approach, we conducted experiments by using a real-world Web services set. The experimental results show that our proposed approach leads to a substantial increase in the precision and the credibility of service recommendations.
Full Text Available One of the major problem with online shopping is finingd the right product, because finding the right product presumes that we know its name, but in most cases it is not so. For this reason the users need help in the process of online searching/shopping. Recommender systems have became a popular technique and strategy for helping users to select desirable products or services. In the past few years the recommender systems have changed from novelties used by a few big e-commerce sites, to serious business tools that are re-shaping the world of e-commerce. In this paper, we provide a brief overview of the classification of recommendation systems based on technology used to create recommendations, and inputs they need from the customers. Furthermore we analyze a few algorithms used by recommender systems and we will also present some marketing recommender systems and their comparative analysis.
Pazos Arias, José J; Díaz Redondo, Rebeca P
The recommendation of products, content and services cannot be considered newly born, although its widespread application is still in full swing. While its growing success in numerous sectors, the progress of the Social Web has revolutionized the architecture of participation and relationship in the Web, making it necessary to restate recommendation and reconciling it with Collaborative Tagging, as the popularization of authoring in the Web, and Social Networking, as the translation of personal relationships to the Web. Precisely, the convergence of recommendation with the above Social Web pillars is what motivates this book, which has collected contributions from well-known experts in the academy and the industry to provide a broader view of the problems that Social Recommenders might face with. If recommender systems have proven their key role in facilitating the user access to resources on the Web, when sharing resources has become social, it is natural for recommendation strategies in the Social Web...
Lu, Wei; Chung, Fu-Lai; Lai, Kunfeng; Zhang, Liang
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.
.... Recommendation number 3 of this report is to implement a uniform award identification system among various... 9000-AM60 Federal Acquisition Regulation; Uniform Procurement Identification AGENCY: Department of... Acquisition Regulation (FAR) to implement a uniform Procurement Instrument Identification (PIID) numbering...
Nguyen, Tam V.; Liu, Luoqi
The female facial image beautification usually requires professional editing softwares, which are relatively difficult for common users. In this demo, we introduce a practical system for automatic and personalized facial makeup recommendation and synthesis. First, a model describing the relations among facial features, facial attributes and makeup attributes is learned as the makeup recommendation model for suggesting the most suitable makeup attributes. Then the recommended makeup attributes...
Zhao, Yao; YIN, Xin-Chun; CHEN, Zhi-Min
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.
A group recommender system for lunch restaurants is developed. The user interface is an Android application which is run on a smartphone. The system features a novel approach for implicit rating collection when a user browses a list of item descriptions. The individual recommendation is based on extracting and comparing tf-idf feature vectors of menu texts as well as individual rankings of the restaurants. The group recommender system works by aggregating the individual estimated scores of th...
As e-commerce has become more popular, the problem of information overload has come to the fore. Recommender systems that reduce the information overload problem are becoming more common. However, the problem with many recommender systems is that they are associated with a high cost of learning customer preferences (in terms of cognitive load). We describe the Personal Travel Assistant (PTA), a flight recommender application that uses case-based reasoning (CBR) to overcome these problem...
Zeng, Wei; Zeng, An; Liu, Hao; Shang, Ming-Sheng; Zhou, Tao
With the rapid growth of the Internet and overwhelming amount of information that people are confronted with, recommender systems have been developed to effectively support users' decision-making process in online systems. So far, much attention has been paid to designing new recommendation algorithms and improving existent ones. However, few works considered the different contributions from different users to the performance of a recommender system. Such studies can help us improve the recommendation efficiency by excluding irrelevant users. In this paper, we argue that in each online system there exists a group of core users who carry most of the information for recommendation. With them, the recommender systems can already generate satisfactory recommendation. Our core user extraction method enables the recommender systems to achieve 90% of the accuracy of the top-L recommendation by taking only 20% of the users into account. A detailed investigation reveals that these core users are not necessarily the large-degree users. Moreover, they tend to select high quality objects and their selections are well diversified.
BRITO, J. F.
Full Text Available Recommendation systems have been proposed as efficient strategies to deal with the information overload which is an Internet reality. In order to study personalized content recommendation, this paper aims at identifying and analyzing, systematically, methods and techniques adopted in the recommendation context. In the systematic review process, 22 papers have been accepted from the main digital databases in the area. The final results suggest a tendency in the use of strategies to reduce the limitations and to increase the efficiency of the recommendation methods.
Zeng, Wei; Zeng, An; Liu, Hao; Shang, Ming-Sheng; Zhou, Tao
With the rapid growth of the Internet and overwhelming amount of information that people are confronted with, recommender systems have been developed to effectively support users' decision-making process in online systems. So far, much attention has been paid to designing new recommendation algorithms and improving existent ones. However, few works considered the different contributions from different users to the performance of a recommender system. Such studies can help us improve the recommendation efficiency by excluding irrelevant users. In this paper, we argue that in each online system there exists a group of core users who carry most of the information for recommendation. With them, the recommender systems can already generate satisfactory recommendation. Our core user extraction method enables the recommender systems to achieve 90% of the accuracy of the top-L recommendation by taking only 20% of the users into account. A detailed investigation reveals that these core users are not necessarily the large-degree users. Moreover, they tend to select high quality objects and their selections are well diversified.
Sun, Xiaobing; Li, Bin; Duan, Yucong; Shi, Wei; Liu, Xiangyue
.... To help developers better take advantage of the available interfaces used in software repositories, we previously proposed an approach to automatically recommend interfaces by mining existing open...
Montgomery County of Maryland — This dataset includes the Fiscal Year 2015 County Executive Recommended and County Council Approved operating budgets for Montgomery County, for comparison purposes....
L. Rutledge (Lloyd); N. Stash; Y. Wang (Yanjing); L. Aroyo
textabstractThis paper discusses accuracy in processing ratings of and recommendations for item features. Such processing facilitates featurebased user navigation in recommender system interfaces. Item features, often in the form of tags, categories or meta-data, are becoming important hypertext
influenced adoption of recommended rice production practices by women rice farmers in the study area. Constraints hindering adoption of. RRPPs were unavailability of credit facilities, poor marketing system and unstable price, and inadequate extension contacts. It was recommended that government should ensure that ...
McMillan, Catherine; Yeung, Celine; Binhammer, Paul
To examine agreement on Dupuytren disease (DD) treatment recommendations in an international sample of hand surgeons. A survey was developed to determine expertise in needle aponeurotomy, surgery, and collagenase injection to treat DD and to examine treatment recommendations for 16 case scenarios. Case scenarios were predeveloped using expert input. Each case represented a unique combination of 4 dichotomous variables including cord thickness, contracture severity, patient age, and joint involvement. Interrater reliability statistics were calculated and multinomial logistic regression modeling and analysis of variance were used to examine the impact of surgeon- and case-related variables on treatment recommendations. A total of 36 hand surgeons from 9 countries (mean experience, 17 years) participated. Average pairwise percent agreement and Krippendorff's alpha were 26% and .012, respectively. Predictors of a recommendation for surgery over multiple options were a total contracture of greater than 70°, a thick precentral cord, involvement of the metacarpophalangeal and proximal interphalangeal joints, and greater years in practice. A greater number of years in practice predicted recommendation for collagenase injection and the presence of a thick precentral cord predicted a recommendation for needle aponeurotomy. Little agreement exists on treatment recommendations for common presentations of DD in this sample. Further investigation into the sources of potential widespread discrepancies in the management of DD may improve the capacity to make evidence-based recommendations. Copyright © 2017 American Society for Surgery of the Hand. Published by Elsevier Inc. All rights reserved.
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 ...
Omisore, M. O.; Samuel, O. W.
The huge amount of information available online has given rise to personalization and filtering systems. Recommender systems (RS) constitute a specific type of information filtering technique that present items according to user's interests. In this research, a web-based personalized recommender system capable of providing learners with books that…
Full Text Available his paper presents a recommender system for textual documents taken from web (given as bookmarks. The system uses for classification a combination of content, event and collaborative filters and for recommendation a modified Pearson-r algorithm. It uses implicit and explicit feedback for evaluating documents.
Manouselis, Nikos; Drachsler, Hendrik; Verbert, Katrien; Santos, Olga
Manouselis, N., Drachsler, H., Verbert, K., & Santos, C. S. (Eds.) (2010). Recommender System in Technology Enhanced Learning. Elsevier Procedia Computer Science: Volume 1, Issue 2. Proceedings of the 1st Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL). September, 29-30,
Louisiana State Technical Resource Center, Natchitoches.
This resource listing contains those culinary occupations instructional materials given a rating of "highly recommended" or "recommended" by a committee of instructors. Titles are arranged alphabetically by title within each of the following Classification of Instructional Programs (CIP) categories: institutional management;…
... ÐºÐ¸Ð¹ EspaÃ±ol Global Strategy on Diet, Physical Activity and Health Menu Diet, Physical Activity & Health Global ... obesity Documents & publications Related links Global recommendations on physical activity for health WHO developed the "Global Recommendations on ...
Full Text Available The context-aware concept is to reduce the gap between users and information systems so that the information systems actively get to understand users’ context and demand and in return provide users with better experience. This study integrates the concept of context-aware with association algorithms to establish the context-aware recommendation systems (CARS. The CARS contains three modules and provides the product recommendations for users with their smartphone. First, the simple RSSI Indoor localization module (SRILM locates the user position and detects the context information surrounding around users. Second, the Apriori recommendation module (ARM provides effective recommended product information for users through association rules mining. The appropriate product information can be received effectiveness and greatly enhanced the recommendation service.
Bultas, Margaret W
School nurses have the responsibility of maintaining the medical files of middle- and high-school athletes. This includes collecting and monitoring the sports preparticipation physical exam. Sudden cardiac death is the leading cause of death in young athletes and, therefore, is one of the primary reasons that competitive athletes undergo sports preparticipation physical exams. Although there is no governing body that has established mandates regarding the nature and scope of this physical exam, the American Heart Association (AHA) has recommendations for cardiovascular screening for competitive athletes. However, these recommendations are not always included on the preparticipation physical exam form and it is not always clear if the health care provider completing the form screened the athlete using these recommendations. Therefore, it is important that school nurses not only be knowledgeable of the AHA recommendations but also consider advocating for their school districts to include these recommendations on the physical exam form if they are not currently.
Full Text Available Agritourism as an economic, social, and cultural phenomenon is a part of triggering regional development. It should consider whether regulations concerning the functioning of the agritourism as a business are properly formulated and correspond to the needs of both tourists and the owners of tourism farm. The purpose of this article is an attempt to assess the legislative business on the farm tourism and an indication of the proposals and recommendations of a farm as a business. The article uses the available professional literature, as well as normative and legal acts of the civil code. The article has a theoretical review nature.
The report presents design recommendations for concrete tunnel linings for transportation tunnels. The recommendations developed as a result of in-depth analysis and model testing of the behavior of concrete tunnel linings. The research addressed pro...
Nesse, R.J.; Scheer, R.M.; Marasco, A.L.; Furey, R.
President Carter issued Executive Order 12044 (3/28/78) that required all Federal agencies to distinguish between significant and insignificant regulations, and to determine whether a regulation will result in major impacts. This study gathered information on the impact of the order and the guidelines on the Office of Conservation and Solar Energy (CS) regulatory practices, investigated problems encountered by the CS staff when implementing the order and guidelines, and recommended solutions to resolve these problems. Major tasks accomplished and discussed are: (1) legislation, Executive Orders, and DOE Memoranda concerning Federal administrative procedures relevant to the development and analysis of regulations within CS reviewed; (2) relevant DOE Orders and Memoranda analyzed and key DOE and CS staff interviewed in order to accurately describe the current CS regulatory process; (3) DOE staff from the Office of the General Counsel, the Office of Policy and Evaluation, the Office of the Environment, and the Office of the Secretary interviewed to explore issues and problems encountered with current CS regulatory practices; (4) the regulatory processes at five other Federal agencies reviewed in order to see how other agencies have approached the regulatory process, dealt with specific regulatory problems, and responded to the Executive Order; and (5) based on the results of the preceding four tasks, recommendations for potential solutions to the CS regulatory problems developed. (MCW)
The ``AAPT Recommendations for the Undergraduate Physics Laboratory Curriculum'' was endorsed by the American Association of Physics Teachers Executive Board in November 2014. This set of curriculum recommendations focuses on developing skills and competencies that will prepare students for research in graduate school and for jobs in the STEM sector, education, and many other employment sectors. The recommendations can be used to guide changes in laboratory curricula, to assess department laboratory curricula during program reviews, and to educate university officials about the importance of laboratory experiences. The recommendations offer many potential opportunities for collaboration between physics education researchers and laboratory instructors in studying skill development in the lab and how various elements of the laboratory curriculum can best be assessed. There are also discussions underway to create an online resource for laboratory instructors to share implementation ideas and resources. This presentation provides an overview of these recommendations and their development, how the recommendations are currently being used, and opportunities for expanded use of the recommendations going forward.
Yang, Jiaoyun; Yu, Song; Gong, Bowen; An, Ning; Alterovitz, Gil
Synthetic biology databases have collected numerous biobricks to accelerate genetic circuit design. However, selecting biobricks is a tough task. Here, we leverage the fact that these manually designed circuits can provide underlying knowledge to support biobrick selection. We propose to design a recommendation system based on the analysis of available genetic circuits, which can narrow down the biobrick selection range and provide candidate biobricks for users to choose. A recommendation strategy based on a Markov model is established to tackle this issue. Furthermore, a biobrick chain recommendation algorithm Sira is proposed that applies a dynamic programming process on a layered state transition graph to obtain the top k recommendation results. In addition, a weighted filtering strategy, WFSira, is proposed to augment the performance of Sira. The experimental results on the Registry of Standard Biological Parts show that Sira outperforms other algorithms significantly for biobrick recommendations, with approximately 30% improvement in terms of recall rate. It is also able to make biobrick chain recommendations. WFSira can further improve the recall rate of Sira by an average of 7.5% for the top 5 recommendations. Copyright © 2017 Elsevier Ltd. All rights reserved.
Full Text Available With the advent of social media and peer production, the amount of new online content has grown dramatically. To identify interesting items in the vast stream of new content, providers must rely on peer recommendation to aggregate opinions of their many users. Due to human cognitive biases, the presentation order strongly affects how people allocate attention to the available content. Moreover, we can manipulate attention through the presentation order of items to change the way peer recommendation works. We experimentally evaluate this effect using Amazon Mechanical Turk. We find that different policies for ordering content can steer user attention so as to improve the outcomes of peer recommendation.
A well-maintained lighting system contributes to workforce efficiency and safety. This report recommends routine lighting maintenance practices (primarily relamping and fixture cleaning) for Army installations. The recommendations are derived from consideration of a comparative economic analysis, current maintenance practices in the military and nonmilitary sectors, and information obtained from industry trade and professional associations. Most common sources of interior and exterior illumination are considered: fluorescent, incandescent, and high-intensity discharge. Recommendations concerning window cleaning and wall and ceiling paint are included.
This document provides recommendations for the Department of Energy’s (DOE’s) preparation of environmental assessments and environmental impact statements under the National Environmental Policy Act of 1969 (NEPA). The Office of NEPA Policy and Compliance prepared these recommendations in consultation with the Office of the Assistant General Counsel for Environment and following coordination with the DOE NEPA Community. The recommendations should materially aid those responsible for preparing and reviewing NEPA documents to focus on significant environmental issues, adequately analyze environmental impacts, and effectively present the analysis to decisionmakers and the public. The recommendations are not all-encompassing, however; preparers must apply independent judgment to determine the appropriate scope and analytical requirements of NEPA for each proposal. These recommendations do not constitute legal requirements, but are intended to enhance compliance with existing NEPA regulations (40 CFR Parts 1500-1508, 10 CFR Part 1021).
Recommender systems have become an essential tool in fighting information overload. However, the majority of recommendation algorithms focus only on using ratings information, while disregarding information about the context of the recommendation process. We present ContextWalk, a recommendation...
... 1-2 years if at high risk for tuberculosis (including health-care workers, persons with HIV, persons ... organizations recommend age 18 because of the high prevalence of sexual activity. Yearly. Monthly. Every 1-2 ...
Catalano, Hugo N; Mella, José M
The fact of making recommendations about treatments demands for a systematic analysis of the different variables involved. The direction of these variables will become a recommendation into a strong one, when the benefits outweigh the harms, or into a weak one, when profits and losses are balanced. In this way, evidence based medicine analyzes this variables: 1) the quality of the literature; 2) the importance of clinical effect; 3) the magnitude of the effect; 4) the risks of the disease to treat; 5) the risks of treatment; 6) the costs; 7) the preferences of the patients; 8) the inconvenience to patients; 9) the minimum and maximum effect and 10 ) if the recommendation is strong or weak. This ten steps strategy will lead us to the construction of a scientifically based recommendation.
Zhu, Xuzhen; Tian, Hui; Zhang, Ping; Hu, Zheng; Zhou, Tao
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.
US Fish and Wildlife Service, Department of the Interior — These management recommendations were prepared by the Winona Fishery Resources Office of the U.S. Fish Wildlife Service for the Necedah National Wildlife Refuge....
US Fish and Wildlife Service, Department of the Interior — This document is a letter to the legislative counsel containing a final recommendation of wilderness designation for part of the Mattamuskeet National Wildlife Refuge.
... Food and Beverage Toolkit The AHA's Recommendations for Physical Activity in Children Updated:Oct 18,2016 Click image ... Inactive children are likely to become inactive adults. Physical activity helps with: controlling weight reducing blood pressure raising ...
Lampropoulos, Aristomenis S
This timely book presents Applications in Recommender Systems which are making recommendations using machine learning algorithms trained via examples of content the user likes or dislikes. Recommender systems built on the assumption of availability of both positive and negative examples do not perform well when negative examples are rare. It is exactly this problem that the authors address in the monograph at hand. Specifically, the books approach is based on one-class classification methodologies that have been appearing in recent machine learning research. The blending of recommender systems and one-class classification provides a new very fertile field for research, innovation and development with potential applications in “big data” as well as “sparse data” problems. The book will be useful to researchers, practitioners and graduate students dealing with problems of extensive and complex data. It is intended for both the expert/researcher in the fields of Pattern Recognition, Machine Learning and ...
This document provides technical recommendations that both systems and primacy agencies can use to comply with LCR CCT requirements and effective evaluation and designation of optimal corrosion control treatment (OCCT).
Wandtke, Ben; Gallagher, Sarah
The purpose of this study was to determine whether a multistage tracking system could improve communication between health care providers, reducing the risk of delay in diagnosis related to inconsistent communication and tracking of radiology follow-up recommendations. Unconditional recommendations for imaging follow-up of all diagnostic imaging modalities excluding mammography (n = 589) were entered into a database and tracked through a multistage tracking system for 13 months. Tracking interventions were performed for patients for whom completion of recommended follow-up imaging could not be identified 1 month after the recommendation due date. Postintervention compliance with the follow-up recommendation required examination completion or clinical closure (i.e., biopsy, limited life expectancy or death, or subspecialist referral). Baseline radiology information system checks performed 1 month after the recommendation due date revealed timely completion of 43.1% of recommended imaging studies at our institution before intervention. Three separate tracking interventions were studied, showing effectiveness between 29.0% and 57.8%. The multistage tracking system increased the examination completion rate to 70.5% (a 52% increase) and reduced the rate of unknown follow-up compliance and the associated risk of delay in diagnosis to 13.9% (a 74% decrease). Examinations completed after tracking intervention generated revenue of 4.1 times greater than the labor cost. Performing sequential radiology recommendation tracking interventions can substantially reduce the rate of unknown follow-up compliance and add value to the health system. Unknown follow-up compliance is a risk factor for delay in diagnosis, a form of preventable medical error commonly identified in malpractice claims involving radiologists and office-based practitioners.
Witteman, Holly; Chignell, Mark; Krahn, Murray
One of the challenges for people seeking health information online is the difficulty in locating health Websites that are personally relevant, credible and useful. We developed a Web-based recommender system in order to help address this problem in the context of prostate cancer. We are conducting an online randomized controlled trial to evaluate the accuracy of its recommendations and to compare the efficacy of content-based and collaborative filtering.
Backgrounds: The increase in the amount of structured data published using the principles of Linked Data, means that now it is more likely to find resources in the Web of Data that describe real life concepts. However, discovering resources related to any given resource is still an open research area. This thesis studies Recommender Systems (RS) that use Linked Data as a source for generating recommendations exploiting the large amount of available resources and the relationships among them. ...
Gibson, Rosalind; King, Janet; Lowe, Nicola M
Background. Large discrepancies exist among the dietary zinc recommendations set by expert groups.\\ud \\ud Objective. To understand the basis for the differences in the dietary zinc recommendations set by the World Health Organization, the U.S. Institute of Medicine, the International Zinc Nutrition Consultative Group, and the European Food Safety Agency.\\ud \\ud Methods. We compared the sources of the data, the concepts, and methods used by the four expert groups to set the physiological requi...
Matzen, Laura E.
Previous studies in the nuclear weapons complex have shown that ambiguous work instructions (WIs) and operating procedures (OPs) can lead to human error, which is a major cause for concern. This report outlines some of the sources of ambiguity in written English and describes three recommendations for reducing ambiguity in WIs and OPs. The recommendations are based on commonly used research techniques in the fields of linguistics and cognitive psychology. The first recommendation is to gather empirical data that can be used to improve the recommended word lists that are provided to technical writers. The second recommendation is to have a review in which new WIs and OPs and checked for ambiguities and clarity. The third recommendation is to use self-paced reading time studies to identify any remaining ambiguities before the new WIs and OPs are put into use. If these three steps are followed for new WIs and OPs, the likelihood of human errors related to ambiguity could be greatly reduced.
Full Text Available In this article, we use the term recommendation in order to analyze every apparatus aimed at guiding the Internet user toward a specific content, surrounded by an overabundant and profuse offer. For the purpose of the analysis, we distinguish four types of recommendation: on the one hand, editorial and contributive recommendation, based either on experts or users’ judgments and opinions, and on the other hand, aggregative and personalized. The latter appear to be more and more central, based on users’ online behaviour. With the algorithmic recommendation, alleged, declared or observed users’ preferences form the material of predictive recommendation in apparatuses developed by different operators of legacy media. This step is the almost final one in a process of delinearization and individualization. However, despite its efficiency, this form of recommendation raises a number of questions. More than the risk of confinement and filter bubble, the biggest problem seems to be related to the oligopolistic power of a few players, controlling consumer behaviour data.
Katarya, Rahul; Verma, Om Prakash
Recommender systems (RSs) are playing a significant role since 1990s as they provide relevant, personalized information to the users over the internet. Lots of work have been done in information filtering, utilization, and application related to RS. However, an important area recently draws our attention which is affective recommender system. Affective recommender system (ARS) is latest trending area of research, as publication in this domain are few and recently published. ARS is associated with human behaviour, human factors, mood, senses, emotions, facial expressions, body gesture and physiological with human-computer interaction (HCI). Due to this assortment and various interests, more explanation is required, as it is in premature phase and growing as compared to other fields. So we have done literature review (LR) in the affective recommender systems by doing classification, incorporate reputed articles published from the year 2003 to February 2016. We include articles which highlight, analyse, and perform a study on affective recommender systems. This article categorizes, synthesizes, and discusses the research and development in ARS. We have classified and managed ARS papers according to different perspectives: research gaps, nature, algorithm or method adopted, datasets, the platform on executed, types of information and evaluation techniques applied. The researchers and professionals will positively support this survey article for understanding the current position, research in affective recommender systems and will guide future trends, opportunity and research focus in ARS.
Mao, Mingsong; Lu, Jie; Zhang, Guangquan; Zhang, Jinlong
Recommender systems aim to identify relevant items for particular users in large-scale online applications. The historical rating data of users is a valuable input resource for many recommendation models such as collaborative filtering (CF), but these models are known to suffer from the rating sparsity problem when the users or items under consideration have insufficient rating records. With the continued growth of online social networks, the increased user-to-user relationships are reported to be helpful and can alleviate the CF rating sparsity problem. Although researchers have developed a range of social network-based recommender systems, there is no unified model to handle multirelational social networks. To address this challenge, this paper represents different user relationships in a multigraph and develops a multigraph ranking model to identify and recommend the nearest neighbors of particular users in high-order environments. We conduct empirical experiments on two real-world datasets: 1) Epinions and 2) Last.fm, and the comprehensive comparison with other approaches demonstrates that our model improves recommendation performance in terms of both recommendation coverage and accuracy, especially when the rating data are sparse.
Bedi, Punam; Kaur, Harmeet
Traditional centralized approaches to security are difficult to apply to multi-agent systems which are used nowadays in e-commerce applications. Developing a notion of trust that is based on the reputation of an agent can provide a softer notion of security that is sufficient for many multi-agent applications. Our paper proposes a mechanism for computing reputation of the trustee agent for use by the trustier agent. The trustier agent computes the reputation based on its own experience as well as the experience the peer agents have with the trustee agents. The trustier agents intentionally interact with the peer agents to get their experience information in the form of recommendations. We have also considered the case of unintentional encounters between the referee agents and the trustee agent, which can be directly between them or indirectly through a set of interacting agents. The clustering is done to filter off the noise in the recommendations in the form of outliers. The trustier agent clusters the recommendations received from referee agents on the basis of the distances between recommendations using the hierarchical agglomerative method. The dendogram hence obtained is cut at the required similarity level which restricts the maximum distance between any two recommendations within a cluster. The cluster with maximum number of elements denotes the views of the majority of recommenders. The center of this cluster represents the reputation of the trustee agent which can be computed using c-means algorithm.
Benjamin Neelon, Sara E; Duffey, Kiyah; Slining, Meghan M
The purpose of this study was to assess state licensing and administrative regulations promoting healthy sleep practices in child care and to compare these regulations to national recommendations. We reviewed regulations related to healthy sleep practices for all states and territories for both child care centers (centers) and family child care homes (homes). We compared regulations with Institute of Medicine recommendations to promote sleep in child care, including (1) create environments that ensure restful sleep; (2) encourage sleep-promoting behaviors and practices; (3) encourage practices that promote child self-regulation of sleep; and (4) seek consultation yearly from a sleep expert. We used Cochran-Mantel-Haenszel trend tests to assess associations between geographic region and number of regulations consistent with the recommendations. The mean number of regulations for states was 0.9 for centers and 0.8 for homes out of a possible 4.0. For centers, no state had regulations for all 4 recommendations; 11 states had regulations for 2 of the 4 recommendations. For homes, 9 states had regulations for 2 of the recommendations. States in the Northeast had the greatest mean number of regulations for centers (1.2) and homes (1.1), and states in the South had the fewest (0.7 and 0.7, respectively); these geographic differences were significant for centers (P = .03) but not homes (P = .14). More states in the Northeast had regulations consistent with the Institute of Medicine sleep recommendations, but overall few states had regulations consistent with the recommendations. Copyright © 2014 by the American Academy of Pediatrics.
This article presents the World Health Organization's (WHO) recommendations on the use of malaria vaccine excerpted from the WHO position paper on malaria vaccine published in the Weekly epidemiological Record in January 2016 . The current document is the first WHO position paper on malaria vaccination and focuses primarily on the available evidence concerning the only malaria vaccine having received a positive regulation assessment from the European Medicines Agency (EMA) . The position paper gives consideration to the epidemiological features of the disease and assesses the potential use of the vaccine for public health benefits. Footnotes to this paper provide a number of core references including references to grading tables that assess the quality of the scientific evidence, and to the evidence to recommendation table. In accordance with its mandate to provide guidance to Member States on health policy matters, WHO issues a series of regularly updated position papers on vaccines and combinations of vaccines against diseases that have an international public health impact. These papers are concerned primarily with the use of vaccines in large-scale immunization programmes; they summarize essential background information on diseases and vaccines, and conclude with WHO's current position on the use of vaccines in the global context. This paper reflects the joint recommendation of the WHO's Strategic Advisory Group of Experts (SAGE) on immunization and the Malaria Policy Advisory Committee (MPAC). These recommendations were discussed by SAGE and MPAC at the October 2015 SAGE meeting. Evidence presented at the meeting can be accessed at http://www.who.int/immunization/sage/previous/en/index.html. Copyright © 2016 Elsevier Ltd. All rights reserved.
Suriati, S.; Dwiastuti, Meisyarah; Tulus, T.
Recommender system becomes very popular and has important role in an information system or webpages nowadays. A recommender system tries to make a prediction of which item a user may like based on his activity on the system. There are some familiar techniques to build a recommender system, such as content-based filtering and collaborative filtering. Content-based filtering does not involve opinions from human to make the prediction, while collaborative filtering does, so collaborative filtering can predict more accurately. However, collaborative filtering cannot give prediction to items which have never been rated by any user. In order to cover the drawbacks of each approach with the advantages of other approach, both approaches can be combined with an approach known as hybrid technique. Hybrid technique used in this work is weighted technique in which the prediction score is combination linear of scores gained by techniques that are combined.The purpose of this work is to show how an approach of weighted hybrid technique combining content-based filtering and item-based collaborative filtering can work in a movie recommender system and to show the performance comparison when both approachare combined and when each approach works alone. There are three experiments done in this work, combining both techniques with different parameters. The result shows that the weighted hybrid technique that is done in this work does not really boost the performance up, but it helps to give prediction score for unrated movies that are impossible to be recommended by only using collaborative filtering.
Wulczyn, Ellery; West, Robert; Zia, Leila; Leskovec, Jure
The different Wikipedia language editions vary dramatically in how comprehensive they are. As a result, most language editions contain only a small fraction of the sum of information that exists across all Wikipedias. In this paper, we present an approach to filling gaps in article coverage across different Wikipedia editions. Our main contribution is an end-to-end system for recommending articles for creation that exist in one language but are missing in another. The system involves identifying missing articles, ranking the missing articles according to their importance, and recommending important missing articles to editors based on their interests. We empirically validate our models in a controlled experiment involving 12,000 French Wikipedia editors. We find that personalizing recommendations increases editor engagement by a factor of two. Moreover, recommending articles increases their chance of being created by a factor of 3.2. Finally, articles created as a result of our recommendations are of comparable quality to organically created articles. Overall, our system leads to more engaged editors and faster growth of Wikipedia with no effect on its quality.
López-Herce, Jesús; Rodríguez, Antonio; Carrillo, Angel; de Lucas, Nieves; Calvo, Custodio; Civantos, Eva; Suárez, Eva; Pons, Sara; Manrique, Ignacio
Cardiac arrest has a high mortality in children. To improve the performance of cardiopulmonary resuscitation, it is essential to disseminate the international recommendations and the training of health professionals and the general population in resuscitation. This article summarises the 2015 European Paediatric Cardiopulmonary Resuscitation recommendations, which are based on a review of the advances in cardiopulmonary resuscitation and consensus in the science and treatment by the International Council on Resuscitation. The Spanish Paediatric Cardiopulmonary Resuscitation recommendations, developed by the Spanish Group of Paediatric and Neonatal Resuscitation, are an adaptation of the European recommendations, and will be used for training health professionals and the general population in resuscitation. This article highlights the main changes from the previous 2010 recommendations on prevention of cardiac arrest, the diagnosis of cardiac arrest, basic life support, advanced life support and post-resuscitation care, as well as reviewing the algorithms of treatment of basic life support, obstruction of the airway and advanced life support. Copyright © 2016. Publicado por Elsevier España, S.L.U.
Full Text Available Asian countries bear the greatest burden of the disease, with a majority (59% of rabies-related deaths occurring in Asia. In order to promote best practices, we summarized national human vaccination guidelines across this region, to highlight differences and similarities and to discuss the aspects that would benefit from updates. National management guidelines for rabies were retrieved from various sources to extract information on rabies pre- and post-exposure prophylaxis (PrEP, and PEP, booster vaccination, and route of administration. Rabies guidelines recommendations for wound management and PrEP across Asia are broadly aligned to the World Health Organization (WHO guidelines. For PEP, the 5-dose Essen, and the 4-dose Zagreb are the regimens of choice for intramuscular (IM, and the Thai Red Cross regimen for intradermal (ID, administration. Several national guidelines have yet to endorse ID vaccine administration. Most guidelines recommend rabies immunoglobulin in category III exposures. Booster recommendations are not included in all guidelines, with limited clarity on booster requirement across the spectrum of risk of rabies exposure. In conclusion, national recommendations across Asian countries differ and while some guidelines are closely aligned to the WHO recommendations, resource-saving ID administration and use of rational abbreviated schedules have yet to be endorsed.
Full Text Available There are a large number of open source projects in software repositories for developers to reuse. During software development and maintenance, developers can leverage good interfaces in these open source projects and establish the framework of the new project quickly when reusing interfaces in these open source projects. However, if developers want to reuse them, they need to read a lot of code files and learn which interfaces can be reused. To help developers better take advantage of the available interfaces used in software repositories, we previously proposed an approach to automatically recommend interfaces by mining existing open source projects in the software repositories. We mainly used the LDA (Latent Dirichlet Allocation topic model to construct the Feature-Interface Graph for each software project and recommended the interfaces based on the Feature-Interface Graph. In this paper, we improve our previous approach by clustering the recommending interfaces on the Feature-Interface Graph, which can recommend more accurate interfaces for developers to reuse. We evaluate the effectiveness of the improved approach and the results show that the improved approach can be more efficient to recommend more accurate interfaces for reuse over our previous work.
Diverse recommendation techniques have been already proposed and encapsulated into several e-business applications, aiming to perform a more accurate evaluation of the existing information and accordingly augment the assistance provided to the users involved. This paper reports on the development and integration of a recommendation module in an agent-based transportation transactions management system. The module is built according to a novel hybrid recommendation technique, which combines th...
Veland, Oeystein; Kaarstad, Magnhild; Seim, Lars Aage; Foerdestroemmen, Nils T.
This document describes the result of a study on alarm systems conducted by IFE in Halden. The study was initiated by the Norwegian Petroleum Directorate. The objective was to identify and formulate a set of important properties for useful and usable alarm systems. The study is mainly based on review of the latest international recognised guidelines and standards on alarm systems available at the time of writing, with focus on realistic solutions from research and best practice from different industries. In addition, IFE experiences gathered through specification and design of alarm systems and experimental activities in HAMMLAB and bilateral projects, have been utilized where relevant. The document presents a total of 43 recommendations divided into a number of general recommendations and more detailed recommendations on alarm generation, structuring, prioritisation, presentation and handling. (Author)
A working group was set up to define the LHC safety alarm system, also known as Alarm-of-Level-3-System (AL3S). The mandate asked for recommendations to be elaborated on four items: the overall concept of the AL3S for machine and experiments, the transmission and display of safety alarms, the AL3S during civil engineering construction, and the transition from the present LEP to the final LHC safety alarm system. The members of the working group represented a wide range of interest and experience including the CERN Fire Brigade, safety officers from experiments and machines, and specialists for safety and control systems. The recommendations highlight the need for a clear definition of responsibilities and procedures, well-engineered homogeneous systems across CERN, and they point to several important issues outside the mandate of the working group. These recommendations were presented, discussed and accepted by several CERN and LHC committees.
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.
Full Text Available Efficient recommendation algorithms are fundamental to solve the problem of information overload in modern society. In physical dynamics, mass diffusion is a powerful tool to alleviate the long-standing problems of recommendation systems. However, popularity bias and redundant similarity have not been adequately studied in the literature, which are essentially caused by excessive diffusion and will lead to similarity estimation deviation and recommendation performance degradation. In this paper, we penalize the popular objects by appropriately dividing the popularity of objects and then leverage the second-order similarity to suppress excessive diffusion. Evaluation on three real benchmark datasets (MovieLens, Amazon, and RYM by 10-fold cross-validation demonstrates that our method outperforms the mainstream baselines in accuracy, diversity, and novelty.
Thanks to the Internet and the World Wide Web, we live in a world of many possibilities we can choose from thousands of movies, millions of books, and billions of web pages. Far exceeding our personal processing capacity, this excessive freedom of choice calls for automated ways to find the relevant information. As a result, the field of information filtering is very active and rich with unanswered challenges. In this short paper, I will give a brief introduction on the design of recommender systems, which recommend objects to users based on the historical records of users’ activities. A diffusion-based recommendation algorithm, as well as two improved algorithms are investigated. Numerical results on a benchmark data set have demonstrated the advantages in algorithmic accuracy.
There is an increasing demand for recommender systems due to the information overload users are facing on the Web. The goal of a recommender system is to provide personalized recommendations of products or services to users. With the advent of the Social Web, user-generated content has enriched the social dimension of the Web. As user-provided content data also tells us something about the user, one can learn the user's individual preferences from the Social Web. This opens up completely new opportunities and challenges for recommender systems research. Fatih Gedikli deals with the question of
Full Text Available While recommendation plays an increasingly critical role in our living, study, work, and entertainment, the recommendations we receive are often for irrelevant, duplicate, or uninteresting products and services. A critical reason for such bad recommendations lies in the intrinsic assumption that recommended users and items are independent and identically distributed (IID in existing theories and systems. Another phenomenon is that, while tremendous efforts have been made to model specific aspects of users or items, the overall user and item characteristics and their non-IIDness have been overlooked. In this paper, the non-IID nature and characteristics of recommendation are discussed, followed by the non-IID theoretical framework in order to build a deep and comprehensive understanding of the intrinsic nature of recommendation problems, from the perspective of both couplings and heterogeneity. This non-IID recommendation research triggers the paradigm shift from IID to non-IID recommendation research and can hopefully deliver informed, relevant, personalized, and actionable recommendations. It creates exciting new directions and fundamental solutions to address various complexities including cold-start, sparse data-based, cross-domain, group-based, and shilling attack-related issues.
Tekin, Cem; Zhang, Simpson; van der Schaar, Mihaela
In this paper, we consider decentralized sequential decision making in distributed online recommender systems, where items are recommended to users based on their search query as well as their specific background including history of bought items, gender and age, all of which comprise the context information of the user. In contrast to centralized recommender systems, in which there is a single centralized seller who has access to the complete inventory of items as well as the complete record of sales and user information, in decentralized recommender systems each seller/learner only has access to the inventory of items and user information for its own products and not the products and user information of other sellers, but can get commission if it sells an item of another seller. Therefore the sellers must distributedly find out for an incoming user which items to recommend (from the set of own items or items of another seller), in order to maximize the revenue from own sales and commissions. We formulate this problem as a cooperative contextual bandit problem, analytically bound the performance of the sellers compared to the best recommendation strategy given the complete realization of user arrivals and the inventory of items, as well as the context-dependent purchase probabilities of each item, and verify our results via numerical examples on a distributed data set adapted based on Amazon data. We evaluate the dependence of the performance of a seller on the inventory of items the seller has, the number of connections it has with the other sellers, and the commissions which the seller gets by selling items of other sellers to its users.
Martínez García, Rosa María
Pregnancy is a challenge from the nutritional point of view, because nutrient requirements are increased and alter its intake can affect maternal and fetal health. Micronutrient defi ciency states are related to preeclampsia, intrauterine growth restriction, abortion and congenital anomalies. Currently, the diet of many expectant mothers is insufficient in micronutrients, in this cases supplementation is necessary. It is recommended supplementation with folic acid in doses of 400 mcg / day and 5 mg/day in risk pregnant, and should begin at least one month before conception and during the first 12 weeks gestation, and extend it throughout pregnancy in mothers with nutritional risk. It is important to keep watch the proper dose of folic acid to prevent possible adverse effects of unmetabolized accumulation in plasma. A high percentage of pregnant women presented iron deficiency anemia, being recommended intermittent use of iron supplements (with lower gastrointestinal alteration and oxidative stress); not recommended for mothers without anemia (hemoglobin> 13.5 g / L). Since calcium absorption is increased up to 40% in gestation, its supplementation is not recommended for mothers with adequate intakes (3 dairy / day), and its use must be reserved to women with inadequate intakes and / or high risk of preeclampsia. Regarding the iodine, there are confl icting positions by different working groups established potassium iodide supplementation in women who do not reach their recommended intake (3 servings of milk and dairy products + 2 g of iodized salt), with their diets. Given that vitamin A and D can be toxic to mother and fetus, it is not recommended its supplementation except in cases of deficiency. Although the use of multiple micronutrients supplements may favorably impact the outcome of pregnancy, more scientific evidence is needed to establish the replacement of iron and folic acid with a multiple micronutrient supplement.
Qiu, Tian; Han, Teng-Yue; Zhong, Li-Xin; Zhang, Zi-Ke; Chen, Guang
The high-order redundant correlation effect is investigated for a hybrid algorithm of heat conduction and mass diffusion (HHM), through both heat conduction biased (HCB) and mass diffusion biased (MDB) correlation redundancy elimination processes. The HCB and MDB algorithms do not introduce any additional tunable parameters, but keep the simple character of the original HHM. Based on two empirical datasets, the Netflix and MovieLens, the HCB and MDB are found to show better recommendation accuracy for both the overall objects and the cold objects than the HHM algorithm. Our work suggests that properly eliminating the high-order redundant correlations can provide a simple and effective approach to accurate recommendation.
Ye, Yanming; Yin, Jianwei; Xu, Yueshen
Process recommendation technologies have gained more and more attention in the field of intelligent business process modeling to assist the process modeling. However, most of the existing technologies only use the process structure analysis and do not take the social features of processes into account, while the process modeling is complex and comprehensive in most situations. This paper studies the feasibility of social network research technologies on process recommendation and builds a social network system of processes based on the features similarities. Then, three process matching degree measurements are presented and the system implementation is discussed subsequently. Finally, experimental evaluations and future works are introduced. PMID:24672309
Herrstedt, Jørn; Roila, Fausto; Warr, David
: The NK1-receptor antagonists netupitant (300 mg given in combination with palonosetron 0.5 mg as NEPA) and rolapitant have both completed phase II and III programs and were approved by FDA (both) and EMA (NEPA) in 2014-2015. Addition of one of these agents (or of (fos)aprepitant) to a combination...... antagonists (netupitant and rolapitant) have been included in the updated recommendations as additional options to aprepitant or fosaprepitant. Addition of one of these NK1-receptor antagonists to a combination of a 5-HT3-receptor antagonist and dexamethasone is recommended in both non-AC HEC and AC HEC...
West, Mark D; Daniel, David G; Opler, Mark; Wise-Rankovic, Alexandria; Kalali, Amir
There is currently no accepted standard for the clinical research industry to follow when selecting and training raters to administer rating scales in clinical neuroscience trials. This article offers guidelines, based on expert recommendations of the CNS Summit Rater Training and Certification Committee, for selecting, training, and evaluating raters. The article also defines terminology and offers recommendations for considering raters with prior training and certification. These guidelines are intended for investigators, pharmaceutical companies, contract research organizations, and other entities involved in clinical neuroscience trials.
... HUMAN SERVICES Food and Drug Administration Draft Guidance for Industry on Bioequivalence... recommendations provide specific guidance on the design of bioequivalence (BE) studies to support abbreviated new... regulation (21 CFR 10.115). The draft guidance, when finalized, will represent the Agency's current thinking...
... docket at http://www.regulations.gov . V. Electronic Access Persons with access to the Internet may... electronic access to the draft guidance document. Submit electronic comments on the draft guidance to http... recommendations for the format of an FAP submission. Where and how to submit an FAP. II. Significance of Guidance...
... 14 Aeronautics and Space 4 2010-01-01 2010-01-01 false Exceptions to administrative law judge's..., DEPARTMENT OF TRANSPORTATION (AVIATION PROCEEDINGS) PROCEDURAL REGULATIONS RULES OF PRACTICE IN PROCEEDINGS... Disposition of Applications § 302.217 Exceptions to administrative law judge's initial or recommended decision...
... 7 Agriculture 10 2010-01-01 2010-01-01 false Submission of recommendations by the Secretary of Agriculture. 1540.44 Section 1540.44 Agriculture Regulations of the Department of Agriculture (Continued) FOREIGN AGRICULTURAL SERVICE, DEPARTMENT OF AGRICULTURE INTERNATIONAL AGRICULTURAL TRADE Emergency Relief...
Bart, Jonathan; Manning, Ann; Fischer, Richard; Eberly, Chris
The Department of Defense (DoD) is subject to several rules and regulations establishing responsibilities for monitoring migratory birds. The Sikes Act requires all military installations with significant natural resources to prepare and implement Integrated Natural Resources Management Plans (INRMPs). These plans guide the conservation and long-term management of natural resources on military lands in a manner that is compatible with and sustains the military mission. An INRMP also supports compliance with all legal requirements and guides the military in fulfilling its obligation to be a good steward of public land.The management and conservation of migratory birds is addressed in installation INRMPs. The National Environmental Policy Act (NEPA) requires federal agencies to evaluate and disclose the potential environmental impacts of their proposed actions. More recently, DoD signed an MOU (http://www.dodpif.org/downloads/EO13186_MOU-DoD.pdf) for migratory birds, under Executive Order 13186, with the US Fish and Wildlife Service (USFWS) in July 2006 and a Migratory Bird Rule (http://www.dodpif.org/downloads/MigBirdFINALRule_FRFeb2007.pdf) was passed by Congress in February 2007. The Migratory Bird Rule addresses the potential impacts of military readiness activities on populations of migratory birds and establishes a process to implement conservation measures if and when a military readiness activity is expected to have a significant adverse impact on a population of migratory bird species (as determined through the NEPA process). The MOU states that for nonmilitary readiness activities, prior to initiating any activity likely to affect populations of migratory birds DoD shall (1) identify the migratory bird species likely to occur in the area of the proposed action and determine if any species of concern could be affected by the activity, and (2) assess and document, using NEPA when applicable, the effect of the proposed action on species of concern. By
Argyriadis, K. [Germanisher Lloyd, Hamburg (Germany)
Fatigue calculations are an essential part in certification of a wind turbine. Manufacturers have to fulfill recommendations of several different regulations throughout Europe with the result that the design has often to be altered to satisfy them. In general three national (D/GL, NL, DK), and two international (GL, IEC) regulations are in use, with the IEC standard getting more importance with wind energy deploying to more in regions with no yet clearly defined national standards (India, Spain). The Germanischer Lloyd made calculations for wind turbines they are certifying and in one case we compared the resulting damages for different regulations and classes on a 600 kW, three bladed, stall regulated wind turbine. (EG) 18 refs.
The study focused on farmers under the Fadama Project Scheme in Edo State, Nigeria with emphasis on the relationship between farmers' characteristics and adoption of recommended technologies,. Analysis of data obtained from a random sample of 80 respondents reveals that Fadama farming is dominated by females ...
Bogers, T.; Bosch, A.P.J. van den
Social bookmarking Web sites are rapidly growing in popularity. Recommender systems, a promising remedy to the information overload accompanying the explosive growth in content, are designed to identify which unseen content might be of interest to a particular user, based on his or her past
Mantas, John; Hasman, Arie
The updated version of the IMIA educational recommendations has given an adequate guidelines platform for developing educational programs in Biomedical and Health Informatics at all levels of education, vocational training, and distance learning. This chapter will provide a brief introduction of the
Vaughan, Sebastian; Coward, Jermaine I.; Bast Jr., Robert C.; Berchuck, Andy; Berek, Jonathan S.; Brenton, James D.; Coukos, George; Crum, Christopher C.; Drapkin, Ronny; Etemadmoghadam, Dariush; Friedlander, Michael; Gabra, Hani; Kaye, Stan B.; Lord, Chris J.; Lengyel, Ernst; Levine, Douglas A.; McNeish, Iain A.; Menon, Usha; Mills, Gordon B.; Nephew, Kenneth P.; Oza, Amit M.; Sood, Anil K.; Stronach, Euan A.; Walczak, Henning; Bowtell, David D.; Balkwill, Frances R.
There have been major advances in our understanding of the cellular and molecular biology of the human malignancies collectively referred to as ovarian cancer. At a recent Helene Harris Memorial Trust meeting, an international group of researchers considered actions that should be taken to improve the outcome for women with ovarian cancer. Nine major recommendations are outlined in this Perspective. PMID:21941283
Parra Santander, Denis Alejandro
Since the introduction of Tapestry in 1990, research on recommender systems has traditionally focused on the development of algorithms whose goal is to increase the accuracy of predicting users' taste based on historical data. In the last decade, this research has diversified, with "human factors" being one area that has received…
Rodriguez, Luke R.; Curtis, Darren S.; Choudhury, Sutanay; Oler, Kiri J.; Nordquist, Peter L.; Chen, Pin-Yu; Ray, Indrajit
In this demonstration we show the usefulness of our unifying graph-based model for the representation of infrastructure, behavior, and missions of cyber enterprise in both a software simulation and on an Amazon Web Services (AWS) instance. We show the effectiveness of our recommendation algorithm for preserving various system health metrics in both cases.
The amount of online information has grown exponentially over the past few decades, and users become more and more dependent on ranking and recommendation systems to address their information seeking needs. The advance in information technologies has enabled users to provide feedback on the utilities of the underlying ranking and recommendation…
Net Promoter System (NPS) is well known as an evaluation measure of the growth engine of big companies in the business area. The ultimate goal of my research is to build an action rules and meta-actions based recommender system for improving NPS scores of 34 companies (clients) dealing with similar businesses in the US and Canada. With the given…
Fu, Shunkai; Zhang, Yao; Seinminn
Libraries are important to universities, and they have two primary features: readers as well as collections are highly professional. In this study, based on the experimental study with five millions of users' borrowing records, our discussion covers: (1) the necessity of recommender system for university libraries; (2) collaborative filtering (CF)…
Full Text Available As an important factor for improving recommendations, time information has been introduced to model users' dynamic preferences in many papers. However, the sequence of users' behaviour is rarely studied in recommender systems. Due to the users' unique behavior evolution patterns and personalized interest transitions among items, users' similarity in sequential dimension should be introduced to further distinguish users' preferences and interests. In this paper, we propose a new collaborative filtering recommendation method based on users' interest sequences (IS that rank users' ratings or other online behaviors according to the timestamps when they occurred. This method extracts the semantics hidden in the interest sequences by the length of users' longest common sub-IS (LCSIS and the count of users' total common sub-IS (ACSIS. Then, these semantics are utilized to obtain users' IS-based similarities and, further, to refine the similarities acquired from traditional collaborative filtering approaches. With these updated similarities, transition characteristics and dynamic evolution patterns of users' preferences are considered. Our new proposed method was compared with state-of-the-art time-aware collaborative filtering algorithms on datasets MovieLens, Flixster and Ciao. The experimental results validate that the proposed recommendation method is effective and outperforms several existing algorithms in the accuracy of rating prediction.
Hastings, Janna; Haug, Kenneth; Steinbeck, Christoph
Research in the context of data-driven science requires a backbone of well-written software, but scientific researchers are typically not trained at length in software engineering, the principles for creating better software products. To address this gap, in particular for young researchers new to programming, we give ten recommendations to ensure the usability, sustainability and practicality of research software.
Jenkins, Jean F.; Prows, Cynthia; Dimond, Eileen; Monsen, Rita; Williams, Janet
Themes identified by genetics professionals (n=162) and suggestions of 45 nursing faculty participating in a genetics summer institute formed the basis of recommendations for genetics education in nursing. Expected clinical outcomes, curriculum strategies, content, and resources were identified. (Contains 42 references.) (SK)
This study assessed the level of adoption of recommended agrochemical practices among crop farmers in Kaduna and Ondo States of Nigeria. It measured the perception of farmers on pesticides and their knowledge on the harmful effects of pesticides. A total of 260 crop farmers who have sustained the use of ...
Gunawardena, Sidath Deepal
This research investigates how data on multidisciplinary collaborative experiences can be used to solve a novel problem: recommending research profiles of potential collaborators to academic researchers seeking to engage in multidisciplinary research collaboration. As the current domain theories of multidisciplinary collaboration are insufficient…
Wilkins, Dennis M.
Offers a criticism of journalism as a professional practice of "doing" rather than "thinking," and suggests a higher standard through the notion of reflective judgment. Makes specific recommendations for curriculum additions to increase undergraduates' performance as critical thinkers and creators of reflective judgments that…
Bessem, B.; Groot, F. P.; Nieuwland, W.
Objective: This study presents the results of 28 months of preparticipation cardiovascular screening using the Lausanne recommendations, which include a personal and family history, physical examination and electrocardiogram (ECG). Design: From January 2006 to April 2008 the data of the Lausanne
... nor including vertical programmes; formulation of updated objectives; improving data management and feedback; strengthening epidemic management, as well as the quality of the system in terms of timeliness, completeness and acceptability. Conclusion: This study added strength to our recommendations, based on two ...
Y. Wang (Yanjing); N. Stash; L. Aroyo; P. Gorgels; L. Rutledge (Lloyd); G. Schreiber
htmlabstractThis 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
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.
Introduction: We evaluated hemodialysis (HD) staff knowledge, adherence to infection control recommendations and seroconversion rates for hepatitis B virus (HBV) and hepatitis C virus (HCV) in 13 centers that continuously provided HD services in Khartoum State between June 2009 and November 2010. Methods: The ...
implementation of the term frequency heuristic, a time-depreciated citation score and a graph-theoretic computed score that relates the paper’s index terms with each other. On the second part we describe the design of hybrid recommender ensemble (user, item and content based). The newly introduced algorithms...
Pedagogic aims can be set and achieved as CLE has intellectual worth in that it enables students to better understand concepts and principles of law and the application thereof in practice. It is therefore recommended that CLE courses be mandatory. The pedagogy of CLE is comprised of three basic components, namely ...
Dec 22, 2010 ... 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 work of IDRC-supported researchers. It is intended as a resource for action, to be taken up by ...
A contextual information based scholary paper recommender system using big data platform. ... Journal of Fundamental and Applied Sciences ... For implementing the system it has been used hadoop bed and the parallel programming because the volume of data was a part of a big data and the time was also an important ...
Sappelli, M.; Kraaij, W.; Verberne, S.
The purpose of the Contextual Suggestion track, an evaluation task at the TREC 2012 conference, is to suggest personalized tourist activities to an individual, given a certain location and time. In our content-based approach, we collected initial recommendations using the location context as search
Public health organisations, including the World Health Organisation recommend 6 months of exclusive breastfeeding for optimal growth, cognitive development and health. In addition, the provision of nutritionally adequate and safe complementary foods to the infants while breastfeeding continues up until 2 years of age ...
Nutritionists should understand deficiency anaemia, and physicians, particularly general practitioners, should be aware of dietary requirements. In this article, therefore, both health care professionals have come together to briefly explain, with examples, the type of diet that should be recommended to patients with deficiency anaemia.
Ranzini, G.; Kusber, Nina; Vermeulen, I.E.; Etter, Michael
his report, ‘Recommendations: Privacy’, forms one element of a European Union Horizon 2020 Research Project on the sharing economy: Ps2Share ‘Participation, Privacy, and Power in the Sharing Economy’. The study is undertaken within the scope of the European Union’s Horizon 2020 research and
A liason between Central Dental Unit, TDA and the toothpaste manufacturers should be made and a safe policy about the markefng of fiouride toothpastes in high fiouride areas in Tanzania evolved. 8. Members recommend that our dental health education to the public should be expanded to include: . (a) Proper information ...
Jonquet, Clement; Musen, Mark A; Shah, Nigam H
Researchers in biomedical informatics use ontologies and terminologies to annotate their data in order to facilitate data integration and translational discoveries. As the use of ontologies for annotation of biomedical datasets has risen, a common challenge is to identify ontologies that are best suited to annotating specific datasets. The number and variety of biomedical ontologies is large, and it is cumbersome for a researcher to figure out which ontology to use. We present the Biomedical Ontology Recommender web service. The system uses textual metadata or a set of keywords describing a domain of interest and suggests appropriate ontologies for annotating or representing the data. The service makes a decision based on three criteria. The first one is coverage, or the ontologies that provide most terms covering the input text. The second is connectivity, or the ontologies that are most often mapped to by other ontologies. The final criterion is size, or the number of concepts in the ontologies. The service scores the ontologies as a function of scores of the annotations created using the National Center for Biomedical Ontology (NCBO) Annotator web service. We used all the ontologies from the UMLS Metathesaurus and the NCBO BioPortal. We compare and contrast our Recommender by an exhaustive functional comparison to previously published efforts. We evaluate and discuss the results of several recommendation heuristics in the context of three real world use cases. The best recommendations heuristics, rated 'very relevant' by expert evaluators, are the ones based on coverage and connectivity criteria. The Recommender service (alpha version) is available to the community and is embedded into BioPortal.
Full Text Available Abstract Background Researchers in biomedical informatics use ontologies and terminologies to annotate their data in order to facilitate data integration and translational discoveries. As the use of ontologies for annotation of biomedical datasets has risen, a common challenge is to identify ontologies that are best suited to annotating specific datasets. The number and variety of biomedical ontologies is large, and it is cumbersome for a researcher to figure out which ontology to use. Methods We present the Biomedical Ontology Recommender web service. The system uses textual metadata or a set of keywords describing a domain of interest and suggests appropriate ontologies for annotating or representing the data. The service makes a decision based on three criteria. The first one is coverage, or the ontologies that provide most terms covering the input text. The second is connectivity, or the ontologies that are most often mapped to by other ontologies. The final criterion is size, or the number of concepts in the ontologies. The service scores the ontologies as a function of scores of the annotations created using the National Center for Biomedical Ontology (NCBO Annotator web service. We used all the ontologies from the UMLS Metathesaurus and the NCBO BioPortal. Results We compare and contrast our Recommender by an exhaustive functional comparison to previously published efforts. We evaluate and discuss the results of several recommendation heuristics in the context of three real world use cases. The best recommendations heuristics, rated ‘very relevant’ by expert evaluators, are the ones based on coverage and connectivity criteria. The Recommender service (alpha version is available to the community and is embedded into BioPortal.
Opie, R S; Itsiopoulos, C; Parletta, N; Sanchez-Villegas, A; Akbaraly, T N; Ruusunen, A; Jacka, F N
Major depressive disorder is a common, chronic condition that imposes a substantial burden of disability globally. As current treatments are estimated to address only one-third of the disease burden of depressive disorders, there is a need for new approaches to prevent depression or to delay its progression. While in its early stages, converging evidence from laboratory, population research, and clinical trials now suggests that dietary patterns and specific dietary factors may influence the risk for depression. However, largely as a result of the recency of the nutritional psychiatry field, there are currently no dietary recommendations for depression. The aim of this paper is to provide a set of practical dietary recommendations for the prevention of depression, based on the best available current evidence, in order to inform public health and clinical recommendations. Five key dietary recommendations for the prevention of depression emerged from current published evidence. These comprise: (1) follow 'traditional' dietary patterns, such as the Mediterranean, Norwegian, or Japanese diet; (2) increase consumption of fruits, vegetables, legumes, wholegrain cereals, nuts, and seeds; (3) include a high consumption of foods rich in omega-3 polyunsaturated fatty acids; (4) replace unhealthy foods with wholesome nutritious foods; (5) limit your intake of processed-foods, 'fast' foods, commercial bakery goods, and sweets. Although there are a number of gaps in the scientific literature to date, existing evidence suggests that a combination of healthful dietary practices may reduce the risk of developing depression. It is imperative to remain mindful of any protective effects that are likely to come from the cumulative and synergic effect of nutrients that comprise the whole-diet, rather than from the effects of individual nutrients or single foods. As the body of evidence grows from controlled intervention studies on dietary patterns and depression, these recommendations
In response to a Natonal Association of Regulatory Utility Commissioners (NARUC) recommendation, the Edison Electric Institute (EEI) will have Price Waterhouse prepare an operational audit that will trace EEI activities and expenditures within each department. NARUC encouraged member commissions to disallow all rate treatment of utility contributions to EEI until a reporting system is agreed upon or an operational audit by an acceptable firm is completed as the result of an ongoing probe into how the Institute spends its money. NARUC was particularly interested in identifying expenditures for lobbying and regulatory advocacy and for advertising. There is open disagreement within the regulatory community over the extent to which the new proposed requirement is to be formally instituted by regulators and over who is to oversee implementation of the new demands.
Gray, P. [ed.
The author reviews the question of regulation for naturally occuring radioactive material (NORM), and the factors that have made this a more prominent concern today. Past practices have been very relaxed, and have often involved very poor records, the involvment of contractors, and the disposition of contaminated equipment back into commercial service. The rationale behind the establishment of regulations is to provide worker protection, to exempt low risk materials, to aid in scrap recycling, to provide direction for remediation and to examine disposal options. The author reviews existing regulations at federal and state levels, impending legislation, and touches on the issue of site remediation and potential liabilities affecting the release of sites contaminated by NORM.
Claessens, M.; Contor, L.; Dhonukshe-Rutten, R.; Groot, L.C.P.Q.M. de; Fairweather-Tait, S.J.; Gurinovic, M.; Koletzko, B.; Ommen, B. van; Raats, M.M.; Veer, P. van 't
The EURopean micronutrient RECommendations Aligned (EURRECA) Network of Excellence (NoE) explored an approach for settingmicronutrient recommendations, which would address the variation in recommendations across Europe. Therefore, a framework for deriving and using micronutrient Dietary Reference
Claessens, M.M.A.E.; Contor, L.; Dhonukshe-Rutten, R.A.M.; Groot, de C.P.G.M.; Fairweather-Tait, S.; Gurinovic, M.; Koletzko, B.; Ommen, van B.; Raats, M.M.; Veer, van 't P.
The EURopean micronutrient RECommendations Aligned (EURRECA) Network of Excellence (NoE) explored an approach for setting micronutrient recommendations, which would address the variation in recommendations across Europe. Therefore, a framework for deriving and using micronutrient Dietary Reference
Ramli, Rindra M.
This is a recommendation report for KAUST Library on the Ejournals / EBooks AZ Management systems project. It briefly described the issues faced by the ERM Team, project plan overview and the project findings as well as the recommendation(s).
Huang, Yuan-Han; Gramopadhye, Anand K
Purpose - The purpose of this paper is to investigate violations against work standards associated with using a new health information technology (HIT) system. Relevant recommendations for implementing HIT in rural hospitals are provided and discussed to achieve meaningful use. Design/methodology/approach - An observational study is conducted to map medication administration process while using a HIT system in a rural hospital. Follow-up focus groups are held to determine and verify potential adverse factors related to using the HIT system while passing drugs to patients. Findings - A detailed task analysis demonstrated several violations, such as only relying on the barcode scanning system to match up with patient and drugs could potentially result in the medical staff forgetting to provide drug information verbally before administering drugs. There was also a lack of regulated and clear work procedure in using the new HIT system. In addition, the computer system controls and displays could not be adjusted so as to satisfy the users' expectations. Nurses prepared medications and documentation in an environment that was prone to interruptions. Originality/value - Recommendations for implementing a HIT system in rural healthcare facilities can be categorized into five areas: people, tasks, tools, environment, and organization. Detailed remedial measures are provided for achieving continuous process improvements at resource-limited healthcare facilities in rural areas.
Pedersen, Signe Holm; Poulsen, Stig Bernt; Lunn, Susanne
Gergely and colleagues’ state that their Social Biofeedback Theory of Parental Affect Mirroring” can be seen as a kind of operationalization of the classical psychoanalytic concepts of holding, containing and mirroring. This article examines to what extent the social biofeedback theory of parental...... affect mirroring may be understood as a specification of these concepts. It is argued that despite similarities at a descriptive level the concepts are embedded in theories with different ideas of subjectivity. Hence an understanding of the concept of affect regulation as a concretizisation...... and specification of the classical concepts dilutes the complexity of both the concept of affect regulation and of the classical concepts....
With the arrival of the big data era, recommendation system has been a hot technology for enterprises to streamline their sales. Recommendation algorithms for individual users have been extensively studied over the past decade. Most existing recommendation systems also focus on individual user recommendations, however in many daily activities, items are recommended to the groups not one person. As an effective means to solve the problem of group recommendation problem,we extend the single use...
Conclusions: ACIP priority groups experienced higher rates of recommendations compared to non-ACIP groups. Racial differences in HCP recommendations cannot explain racial disparities in flu vaccination rates.
AUTHOR|(CDS)2096025; Marian, Ludmila
CERN Document Server (CDS) is the institutional repository of the European Organization for Nuclear Research (CERN). It hosts all the research material produced at CERN, as well as multi- media and administrative documents. It currently has more than 1.5 million records grouped in more than 1000 collections. It’s underlying platform is Invenio, an open source digital library system created at CERN. As the size of CDS increases, discovering useful and interesting records becomes more challenging. Therefore, the goal of this work is to create a system that supports the user in the discovery of related interesting records. To achieve this, a set of recommended records are displayed on the record page. These recommended records are based on the analyzed behavior (page views and downloads) of other users. This work will describe the methods and algorithms used for creating, implementing, and the integration with the underlying software platform, Invenio. A very important decision factor when designing a recomme...
Full Text Available Explaining interfaces become a useful tool in systems that have a lot of content to evaluate by users. The different interfaces represent a help for the undecided users or those who consider systems as boxed black smart. These systems present recommendations to users based on different learning models. In this paper, we present the different objectives of the explanation interfaces and some of the criteria that you can evaluate, as well as a proposal of metrics to obtain results in the experiments. Finally, we showed the main results of a study with real users and their interaction with e-commerce systems. Among the main results, highlight the positive impact in relation to the time of interaction with the applications and acceptance of the recommendations received.
This paper reviews the design of regulation loops for power converters. Power converter control being a vast domain, it does not aim to be exhaustive. The objective is to give a rapid overview of the main synthesis methods in both continuous- and discrete-time domains.
The thesis describes a prototype of recommender system for Slovenian e-library. Data includes multitude of books in the ePub format, anonymized list of users and a set of transactions between the books and users. Book content was tokenized, POS-tagged and lemmatized. Data extraction methods were used to extract numerical stylometric features of books. Features were evaluated with SPEC and Laplacian scores. We reduced dimensionality of feature vectors of both books and users and clustered them...
Govaerts, Sten; El Helou, Sandy; Duval, Erik; Gillet, Denis
This paper presents a federated search and social recommen- dation widget. It describes the widget’s interface and the un- derlying social recommendation engine. A preliminary eval- uation of the widget’s usability and usefulness involving 15 subjects is also discussed. The evaluation helped identify us- ability problems that will be addressed prior to the widget’s usage in a real learning context.
Farmery, Anna K; O'Kane, Gabrielle; McManus, Alexandra; Green, Bridget S
Encouraging people to eat more seafood can offer a direct, cost-effective way of improving overall health outcomes. However, dietary recommendations to increase seafood consumption have been criticised following concern over the capacity of the seafood industry to meet increased demand, while maintaining sustainable fish stocks. The current research sought to investigate Australian accredited practising dietitians' (APD) and public health nutritionists' (PHN) views on seafood sustainability and their dietary recommendations, to identify ways to better align nutrition and sustainability goals. A self-administered online questionnaire exploring seafood consumption advice, perceptions of seafood sustainability and information sources of APD and PHN. Qualitative and quantitative data were collected via open and closed questions. Quantitative data were analysed with χ 2 tests and reported using descriptive statistics. Content analysis was used for qualitative data. Australia. APD and PHN were targeted to participate; the sample includes respondents from urban and regional areas throughout Australia. Results indicate confusion around the concept of seafood sustainability and where to obtain information, which may limit health professionals' ability to recommend the best types of seafood to maximise health and sustainability outcomes. Respondents demonstrated limited understanding of seafood sustainability, with 7·5 % (n 6/80) satisfied with their level of understanding. Nutrition and sustainability goals can be better aligned by increasing awareness on seafood that is healthy and sustainable. For health professionals to confidently make recommendations, or identify trade-offs, more evidence-based information needs to be made accessible through forums such as dietetic organisations, industry groups and nutrition programmes.
The Geothermal Technologies Program assembled a geothermal Blue Ribbon Panel on March 22-23, 2011 in Albuquerque, New Mexico for a guided discussion on the future of geothermal energy in the United States and the role of the DOE Program. The Geothermal Blue Ribbon Panel Report captures the discussions and recommendations of the experts. An addendum is available here: http://www.eere.energy.gov/geothermal/pdfs/gtp_blue_ribbon_panel_report_addendum10-2011.pdf
Monteiro, Eriksson; Valente, Frederico; Costa, Carlos; Oliveira, José Luís
The large volume of data captured daily in healthcare institutions is opening new and great perspectives about the best ways to use it towards improving clinical practice. In this paper we present a context-based recommender system to support medical imaging diagnostic. The system relies on data mining and context-based retrieval techniques to automatically lookup for relevant information that may help physicians in the diagnostic decision.
Full Text Available The exposure, often deceitful, to the acrylamide has determined notable apprehension in many consumers, so much that the Committee of the European Communities has financed the project HEATOX and has emanated the recommendation 2007/331. It is ascertained that proposed strategies have not brought to great changes in the food process chains, and neither in the traditional catering and housewife, for which more incisive measures are wished.
R. F. Tepaev
Full Text Available Sepsis is one of the leading causes of child lethality. Timely diagnostics is the most important condition for treating sepsis successfully. This study contains analysis of recommendations on diagnosing the syndrome of systemic inflammatory response, sepsis, severe sepsis and septic shock of the Surviving Sepsis Campaign: International Guidelines for Management of Severe Sepsis and Septic Shock: 2012,published in 2013. The modern perceptions of systemic inflammation during sepsis and sterile inflammation are highlighted.
Joshi, Anupam; Chandrasekaran, Purnima; ShuYang, Michelle; Ramakrishnan, Ramya
This report explored techniques to mine web pages of scientists to extract information regarding their expertise, build expertise chains and referral webs, and semi automatically combine this information with directory information services to create a recommender system that permits query by expertise. The approach included experimenting with existing techniques that have been reported in research literature in recent past , and adapted them as needed. In addition, software tools were developed to capture and use this information.
RVVSV Prasad; V Valli Kumari
As more and more information became available electronically, the need for effective information retrieval and implementation of filtering tools have became essential for easy access of relevant information. Recommender Systems (RS) are software tools and techniques providing suggestions for items and/or services to be of use to a user. These systems are achieving widespread success in ecommerce applications now a days, with the advent of internet. This paper presents a categorical review ...
Ramli, Rindra M.
This recommendation report provides an overview of the selection process for the new Electronic Resources Management System. The library has decided to move away from Innovative Interfaces Millennium ERM module. The library reviewed 3 system as potential replacements namely: Proquest 360 Resource Manager, Ex Libris Alma and Open Source CORAL ERMS. After comparing and trialling the systems, it was decided to go for Proquest 360 Resource Manager.
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...
Full Text Available Among all available conventional encryption algorithms the AES Advanced Encryption Standard is the most secured and highly used algorithm. AES algorithm is widely used by variety of applications like Archive and Compression tools File Encryption Encryption File System Disk Partition Encryption Networking Signal Protocol among others. This paper highlights the Brute Force attack and Cryptanalysis attack on AES Algorithm. This paper also discusses about a novel recommendation of a combination model of AES Algorithm and Random-X Cipher.
Ma, Wenping; Feng, Xiang; Wang, Shanfeng; Gong, Maoguo
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.
Iolascon, Achille; Andolfo, Immacolata; Barcellini, Wilma; Corcione, Francesco; Garçon, Loïc; De Franceschi, Lucia; Pignata, Claudio; Graziadei, Giovanna; Pospisilova, Dagmar; Rees, David C; de Montalembert, Mariane; Rivella, Stefano; Gambale, Antonella; Russo, Roberta; Ribeiro, Leticia; Vives-Corrons, Jules; Martinez, Patricia Aguilar; Kattamis, Antonis; Gulbis, Beatrice; Cappellini, Maria Domenica; Roberts, Irene; Tamary, Hannah
Hereditary hemolytic anemias are a group of disorders with a variety of causes, including red cell membrane defects, red blood cell enzyme disorders, congenital dyserythropoietic anemias, thalassemia syndromes and hemoglobinopathies. As damaged red blood cells passing through the red pulp of the spleen are removed by splenic macrophages, splenectomy is one possible therapeutic approach to the management of severely affected patients. However, except for hereditary spherocytosis for which the effectiveness of splenectomy has been well documented, the efficacy of splenectomy in other anemias within this group has yet to be determined and there are concerns regarding short- and long-term infectious and thrombotic complications. In light of the priorities identified by the European Hematology Association Roadmap we generated specific recommendations for each disorder, except thalassemia syndromes for which there are other, recent guidelines. Our recommendations are intended to enable clinicians to achieve better informed decisions on disease management by splenectomy, on the type of splenectomy and the possible consequences. As no randomized clinical trials, case control or cohort studies regarding splenectomy in these disorders were found in the literature, recommendations for each disease were based on expert opinion and were subsequently critically revised and modified by the Splenectomy in Rare Anemias Study Group, which includes hematologists caring for both adults and children. Copyright© 2017 Ferrata Storti Foundation.
Virvou, Maria; Jain, Lakhmi
Multimedia services are now commonly used in various activities in the daily lives of humans. Related application areas include services that allow access to large depositories of information, digital libraries, e-learning and e-education, e-government and e-governance, e-commerce and e-auctions, e-entertainment, e-health and e-medicine, and e-legal services, as well as their mobile counterparts (i.e., m-services). Despite the tremendous growth of multimedia services over the recent years, there is an increasing demand for their further development. This demand is driven by the ever-increasing desire of society for easy accessibility to information in friendly, personalized and adaptive environments. In this book at hand, we examine recent Recommendation Services. Recommendation services appear in the mobile environment, medicine/biology, tourism, education, and so on. The book includes ten chapters, which present various recently developed recommendation services. This research book is directed to professors...
Full Text Available Virtual worlds (VWs are computer-simulated environments which allow users to create their own virtual character as an avatar. With the rapidly growing user volume in VWs, platform providers launch virtual goods in haste and stampede users to increase sales revenue. However, the rapidity of development incurs virtual unrelated items which will be difficult to remarket. It not only wastes virtual global companies’ intelligence resources, but also makes it difficult for users to find suitable virtual goods fit for their virtual home in daily virtual life. In the VWs, users decorate their houses, visit others’ homes, create families, host parties, and so forth. Users establish their social life circles through these activities. This research proposes a novel virtual goods recommendation method based on these social interactions. The contact strength and contact influence result from interactions with social neighbors and influence users’ buying intention. Our research highlights the importance of social interactions in virtual goods recommendation. The experiment’s data were retrieved from an online VW platform, and the results show that the proposed method, considering social interactions and social life circle, has better performance than existing recommendation methods.
Chen, Kuan-Yu; Liao, Hsiu-Yu; Chen, Jyun-Hung; Liu, Duen-Ren
Virtual worlds (VWs) are computer-simulated environments which allow users to create their own virtual character as an avatar. With the rapidly growing user volume in VWs, platform providers launch virtual goods in haste and stampede users to increase sales revenue. However, the rapidity of development incurs virtual unrelated items which will be difficult to remarket. It not only wastes virtual global companies' intelligence resources, but also makes it difficult for users to find suitable virtual goods fit for their virtual home in daily virtual life. In the VWs, users decorate their houses, visit others' homes, create families, host parties, and so forth. Users establish their social life circles through these activities. This research proposes a novel virtual goods recommendation method based on these social interactions. The contact strength and contact influence result from interactions with social neighbors and influence users' buying intention. Our research highlights the importance of social interactions in virtual goods recommendation. The experiment's data were retrieved from an online VW platform, and the results show that the proposed method, considering social interactions and social life circle, has better performance than existing recommendation methods.
Iolascon, Achille; Andolfo, Immacolata; Barcellini, Wilma; Corcione, Francesco; Garçon, Loïc; De Franceschi, Lucia; Pignata, Claudio; Graziadei, Giovanna; Pospisilova, Dagmar; Rees, David C.; de Montalembert, Mariane; Rivella, Stefano; Gambale, Antonella; Russo, Roberta; Ribeiro, Leticia; Vives-Corrons, Jules; Martinez, Patricia Aguilar; Kattamis, Antonis; Gulbis, Beatrice; Cappellini, Maria Domenica; Roberts, Irene; Tamary, Hannah
Hereditary hemolytic anemias are a group of disorders with a variety of causes, including red cell membrane defects, red blood cell enzyme disorders, congenital dyserythropoietic anemias, thalassemia syndromes and hemoglobinopathies. As damaged red blood cells passing through the red pulp of the spleen are removed by splenic macrophages, splenectomy is one possible therapeutic approach to the management of severely affected patients. However, except for hereditary spherocytosis for which the effectiveness of splenectomy has been well documented, the efficacy of splenectomy in other anemias within this group has yet to be determined and there are concerns regarding short- and long-term infectious and thrombotic complications. In light of the priorities identified by the European Hematology Association Roadmap we generated specific recommendations for each disorder, except thalassemia syndromes for which there are other, recent guidelines. Our recommendations are intended to enable clinicians to achieve better informed decisions on disease management by splenectomy, on the type of splenectomy and the possible consequences. As no randomized clinical trials, case control or cohort studies regarding splenectomy in these disorders were found in the literature, recommendations for each disease were based on expert opinion and were subsequently critically revised and modified by the Splenectomy in Rare Anemias Study Group, which includes hematologists caring for both adults and children. PMID:28550188
Satpathy, Shankha; Nabbi, Arash; Riabowol, Karl
The five human ING genes encode at least 15 splicing isoforms, most of which affect cell growth, differentiation and apoptosis through their ability to alter gene expression by epigenetic mechanisms. Since their discovery in 1996, ING proteins have been classified as type II tumour suppressors...... on the basis of reports describing their down-regulation and mislocalization in a variety of cancer types. In addition to their regulation by transcriptional mechanisms, understanding the range of PTMs (post-translational modifications) of INGs is important in understanding how ING functions are fine...
Aranceta Bartrina, J; Pérez Rodrigo, C; Dalmau Serra, J; Gil Hernández, A; Lama More, R; Martín Mateos, M A; Martínez Suárez, V; Pavón Belinchón, P; Suárez Cortina, L
School meals contribute substantially to overall energy and nutrient intake adequacy of children, but also play an important role in the development of child food habits and the socialisation process. Evidence shows that school based environmental actions, which include changes in school meals and school food policies related to increased availability and access to healthy foods and drinks while in the school are effective to foster healthy eating practices among children. A growing number of children engage in school meals. Available information to date shows that the quality of the food on offer is not always consistent with dietary guidelines. Vegetables and fish are served less often than desirable and excess added fats are used in food preparations. Norms and regulations are very detailed regarding food safety issues and administrative management of the service, including subcontracting of catering providers and care staff. Nutrition and health promotion issues should also be included in regulations by means of nutrition recommendations for school meals along with information on food based dietary guidelines and portion sizes. School meals should be part of the educational project using a whole school approach.
Full Text Available Elucidating the biology of yeast in its full complexity has major implications for science, medicine and industry. One of the most critical processes determining yeast life and physiology is cellular demise. However, the investigation of yeast cell death is a relatively young field, and a widely accepted set of concepts and terms is still missing. Here, we propose unified criteria for the definition of accidental, regulated, and programmed forms of cell death in yeast based on a series of morphological and biochemical criteria. Specifically, we provide consensus guidelines on the differential definition of terms including apoptosis, regulated necrosis, and autophagic cell death, as we refer to additional cell death routines that are relevant for the biology of (at least some species of yeast. As this area of investigation advances rapidly, changes and extensions to this set of recommendations will be implemented in the years to come. Nonetheless, we strongly encourage the authors, reviewers and editors of scientific articles to adopt these collective standards in order to establish an accurate framework for yeast cell death research and, ultimately, to accelerate the progress of this vibrant field of research.
Full Text Available Abstract Major strides towards national tobacco control have been made since Nigeria became signatory to the WHO Framework Convention on Tobacco Control (FCTC in June 2004. The Nigerian senate passed a bill on March 15, 2011 which is expected to be signed into law shortly, to regulate and control production, manufacture, sale, advertising, promotion and sponsorship of tobacco or tobacco products. This paper highlights how the proposed tobacco control law provides a unique opportunity to domesticate the WHO FCTC, expand on smokeless tobacco regulation and develop a science base to improve tobacco control measures in Nigeria.
Abstract. Recommender system a new marketing strategy plays an important role particularly in an electronic commerce environment. Among the various recommender systems, collaborative recommender system (CRS) is widely used in a number of different applications such as recommending web pages, movies,.
Personalization recommendation is the key technology in E-commerce, which affects the performance of E-commerce system. This paper mainly introduces personalization recommendation system and its role, and several widely used recommendation technology. Through comparing and analyzing on the strengths and weaknesses of recommendation technology, it concludes that the combined application for a variety of techniques should satisfy the actual needs better.
Jimeno-Yepes, Antonio; Wilkowski, Bartlomiej; Mork, James/G
in which the abstract is searched for indicators for a specific MeSH recommendation in a two-step process. Supervised machine learning combined with triage rules improves sensitivity of recommendations while keeping the number of recommended terms relatively small. Improvement in recommendations observed...
Recommender system a new marketing strategy plays an important role particularly in an electronic commerce environment. Among the various recommender systems, collaborative recommender system (CRS) is widely used in a number of different applications such as recommending web pages, movies, tapes and items.
Martínez-Romero, Marcos; Jonquet, Clement; O'Connor, Martin J; Graybeal, John; Pazos, Alejandro; Musen, Mark A
Ontologies and controlled terminologies have become increasingly important in biomedical research. Researchers use ontologies to annotate their data with ontology terms, enabling better data integration and interoperability across disparate datasets. However, the number, variety and complexity of current biomedical ontologies make it cumbersome for researchers to determine which ones to reuse for their specific needs. To overcome this problem, in 2010 the National Center for Biomedical Ontology (NCBO) released the Ontology Recommender, which is a service that receives a biomedical text corpus or a list of keywords and suggests ontologies appropriate for referencing the indicated terms. We developed a new version of the NCBO Ontology Recommender. Called Ontology Recommender 2.0, it uses a novel recommendation approach that evaluates the relevance of an ontology to biomedical text data according to four different criteria: (1) the extent to which the ontology covers the input data; (2) the acceptance of the ontology in the biomedical community; (3) the level of detail of the ontology classes that cover the input data; and (4) the specialization of the ontology to the domain of the input data. Our evaluation shows that the enhanced recommender provides higher quality suggestions than the original approach, providing better coverage of the input data, more detailed information about their concepts, increased specialization for the domain of the input data, and greater acceptance and use in the community. In addition, it provides users with more explanatory information, along with suggestions of not only individual ontologies but also groups of ontologies to use together. It also can be customized to fit the needs of different ontology recommendation scenarios. Ontology Recommender 2.0 suggests relevant ontologies for annotating biomedical text data. It combines the strengths of its predecessor with a range of adjustments and new features that improve its reliability
Full Text Available Abstract Background Evaluating the impact of recommendations based upon health technology assessment (HTA represents a challenge for both HTA agencies and healthcare policy-makers. Using a psychosocial theoretical framework, this study aimed at exploring the factors affecting physician intention to adopt HTA recommendations. The selected recommendations were prioritisation systems for patients on waiting lists for two surgical procedures: hip and knee replacement and cataract surgery. Methods Determinants of physician intention to use HTA recommendations for patient prioritisation were assessed by a questionnaire based upon the Theory of Interpersonal Behaviour. A total of 96 physicians from two medical specialties (ophthalmology and orthopaedic surgery responded to the questionnaire (response rate 44.2%. A multiple analysis of variance (MANOVA was performed to assess differences between medical specialties on the set of theoretical variables. Given the main effect difference between specialties, two regression models were tested separately to assess the psychosocial determinants of physician intention to use HTA recommendations for the prioritisation of patients on waiting lists for surgical procedures. Results Factors influencing physician intention to use HTA recommendations differ between groups of specialists. Intention to use the prioritisation system for patients on waiting lists for cataract surgery among ophthalmologists was related to attitude towards the behaviour, social norms, as well as personal normative beliefs. Intention to use HTA recommendations for patient prioritisation for hip and knee replacement among orthopaedic surgeons was explained by: perception of conditions that facilitated the realisation of the behaviour, personal normative beliefs, and habit of using HTA recommendations in clinical work. Conclusion This study offers a model to assess factors influencing the intention to adopt recommendations from health
To address the benefits and limitations of oral cancer screening and the use of adjunctive screening aids to visualise and detect potentially malignant and malignant oral lesions. Squamous cell carcinomas of the lips and cancers of the oropharynx (including the posterior one-third of the base of the tongue and the tonsils were excluded. A specially convened expert panel evaluated the available evidence which was derived from a systematic search of Medline and the Cochrane Library. Further details about the search are available in a supplement to the published article available on the Journal of the America Dental Association's website (http://jada.ada.org/cgi/content/full/141/5/509). Qualitative synthesis of the data was performed by the panel. Where consensus could not be reached majority voting was employed. Recommendations were reviewed by internal and external scientific experts and organisations. After review recommendations were revised where appropriate and the ADA Council on Scientific Affairs approved the final clinical recommendations. No information provided in article. The key recommendations were all classified as level D being based on grade IV evidence or extrapolated from grade I, II or III evidence using a system based on Shekelle et al.(1) The main recommendations can be summarised as:1) Clinicians should remain alert for signs of potentially malignant lesions or early-stage cancers in all patients while performing routine visual and tactile examinations, particularly for patients who use tobacco or who are heavy consumers of alcohol. 2) For seemingly innocuous lesions, clinicians should follow up in seven to 14 days to confirm persistence after removing any possible cause to reduce the potential for false-positive screening results. 3) For lesions that raise suspicion of cancer or for lesions that persist after removal of a possible cause, clinicians should communicate the potential benefits and risks of early diagnosis. Considerations include
Sheth, Swapneel; Arora, Nipun; Murphy, Christian; Kaiser, Gail
Recommender systems have become increasingly popular. Most of the research on recommender systems has focused on recommendation algorithms. There has been relatively little research, however, in the area of generalized system architectures for recommendation systems. In this paper, we introduce weHelp: a reference architecture for social recommender systems - systems where recommendations are derived automatically from the aggregate of logged activities conducted by the system's users. Our architecture is designed to be application and domain agnostic. We feel that a good reference architecture will make designing a recommendation system easier; in particular, weHelp aims to provide a practical design template to help developers design their own well-modularized systems.
Trajectory sharing and searching have received significant attention in recent years. In this thesis, we propose and investigate the methods to find and recommend the best trajectory to the traveler, and mainly focus on a novel technique named User Oriented Trajectory Search (UOTS) query processing. In contrast to conventional trajectory search by locations (spatial domain only), we consider both spatial and textual domains in the new UOTS query. Given a trajectory data set, the query input contains a set of intended places given by the traveler and a set of textual attributes describing the traveler’s preference. If a trajectory is connecting/close to the specified query locations, and the textual attributes of the trajectory are similar to the traveler’s preference, it will be recommended to the traveler. This type of queries can enable many popular applications such as trip planning and recommendation. There are two challenges in UOTS query processing, (i) how to constrain the searching range in two domains and (ii) how to schedule multiple query sources effectively. To overcome the challenges and answer the UOTS query efficiently, a novel collaborative searching approach is developed. Conceptually, the UOTS query processing is conducted in the spatial and textual domains alternately. A pair of upper and lower bounds are devised to constrain the searching range in two domains. In the meantime, a heuristic searching strategy based on priority ranking is adopted for scheduling the multiple query sources, which can further reduce the searching range and enhance the query efficiency notably. Furthermore, the devised collaborative searching approach can be extended to situations where the query locations are ordered. Extensive experiments are conducted on both real and synthetic trajectory data in road networks. Our approach is verified to be effective in reducing both CPU time and disk I/O time.
Trajectory sharing and searching have received significant attentions in recent years. In this paper, we propose and investigate a novel problem called User Oriented Trajectory Search (UOTS) for trip recommendation. In contrast to conventional trajectory search by locations (spatial domain only), we consider both spatial and textual domains in the new UOTS query. Given a trajectory data set, the query input contains a set of intended places given by the traveler and a set of textual attributes describing the traveler\\'s preference. If a trajectory is connecting/close to the specified query locations, and the textual attributes of the trajectory are similar to the traveler\\'e preference, it will be recommended to the traveler for reference. This type of queries can bring significant benefits to travelers in many popular applications such as trip planning and recommendation. There are two challenges in the UOTS problem, (i) how to constrain the searching range in two domains and (ii) how to schedule multiple query sources effectively. To overcome the challenges and answer the UOTS query efficiently, a novel collaborative searching approach is developed. Conceptually, the UOTS query processing is conducted in the spatial and textual domains alternately. A pair of upper and lower bounds are devised to constrain the searching range in two domains. In the meantime, a heuristic searching strategy based on priority ranking is adopted for scheduling the multiple query sources, which can further reduce the searching range and enhance the query efficiency notably. Furthermore, the devised collaborative searching approach can be extended to situations where the query locations are ordered. The performance of the proposed UOTS query is verified by extensive experiments based on real and synthetic trajectory data in road networks. © 2012 ACM.
... baby size as defined in the then effective United States Standards for Walnuts (Juglans regia) in the... may also recommend different regulations for different market destinations. If the Secretary finds on...
West, Anne; Ingram, Dabney
Analyzes implementation of Labour government reforms to the secondary school admissions process in England. Presents policy recommendations to address existing problems with the new admission regulations. (Contains 14 references.) (PKP)
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.
Gräßer, Felix; Beckert, Stefanie; Küster, Denise; Schmitt, Jochen; Abraham, Susanne; Malberg, Hagen; Zaunseder, Sebastian
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.
Sun, Shuang-Bo; Zhang, Zhi-Heng; Dong, Xin-Ling; Zhang, Heng-Ru; Li, Tong-Jun; Zhang, Lin
This paper proposes a new measure for recommendation through integrating Triangle and Jaccard similarities. The Triangle similarity considers both the length and the angle of rating vectors between them, while the Jaccard similarity considers non co-rating users. We compare the new similarity measure with eight state-of-the-art ones on four popular datasets under the leave-one-out scenario. Results show that the new measure outperforms all the counterparts in terms of the mean absolute error and the root mean square error. PMID:28817692
Albers, James; Lowe, Brian; Lipscomb, Hester; Hudock, Stephen; Dement, John; Evanoff, Bradley; Fullen, Mark; Gillen, Matt; Kaskutas, Vicki; Nolan, James; Patterson, Dennis; Platner, James; Pompeii, Lisa; Schoenfisch, Ashley
Use of a pneumatic nail gun with a sequential actuation trigger (SAT) significantly diminishes the risk for acute traumatic injury compared to use of a contact actuation trigger (CAT) nail gun. A theoretically-based increased risk of work-related musculoskeletal disorders from use of a SAT nail gun, relative to CAT, appears unlikely and remains unproven. Based on current knowledge, the use of CAT nail guns cannot be justified as a safe alternative to SAT nail guns. This letter provides a perspective of ergonomists and occupational safety researchers recommending the use of the sequential actuation trigger for all nail gun tasks in the construction industry.
Thomsen, Kirsten Engelund; Rose, Jørgen; Aggerholm, Søren
requirements; • impact, compliance and control of legislation; • effective handling of thermal bridges; • stimulation of good building and ductwork airtightness; • support for the market uptake for innovative systems; • stimulation of better summer comfort and efficient cooling. This report compiles the major...... findings and recommendations for each of these 6 topics. It also gives an overview of all other project materials, and thus helps the reader to quickly pinpoint the material most relevant to his/her question at any given time....
Bernard Shibwabo Kasamani
Full Text Available This paper presents an implementation of recommender technology to online search of rental properties. In particular, the paper uses the preference-based search approach combined with a technique called example-critiquing. Rather than perform a query against the database, this approach prompts the user to express some preferences on rental properties, uses them to construct a preference model for the user, and finally generates a list of properties that best match that preferences. The system is developed as Web application using the Ruby on Rails framework
Leginus, Martin; Dolog, Peter; Zemaitis, Valdas
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...
Griffin, P.J.; Kelly, J.G.; Luera, T.F. [Sandia National Labs., Albuquerque, NM (United States); VanDenburg, J. [Science and Engineering Associates, Inc., Albuquerque, NM (United States)
A compendium of dosimetry cross sections is presented for use in the characterization of fission reactor spectrum and fluence. The contents of this cross section library are based upon the ENDF/B-VI and IRDF-90 cross section libraries and are recommended as a replacement for the DOSCROS84 multigroup library that is widely used by the dosimetry community. Documentation is provided on the rationale for the choice of the cross sections selected for inclusion in this library and on the uncertainty and variation in cross sections presented by state-of-the-art evaluations.
In both the U.S. and the world today the most critical price system problem is the spectacular crude price set by the OPEC monopoly. In the U.S. this $10.00 plus price currently sets the price of 60% of our crude petroleum input. Therefore, the most powerful method available to reduce U.S. crude input price inflation is to reduce the OPEC monopoly price by at least $2 or 20%. At this price, it would supposedly approximate the long run cost of such energy. The situation is reviewed and recommendations and a summary are provided.
Translated by Rogošić, M.
Full Text Available This recommendation defines just three terms, viz., (1 molar-mass dispersity, relative-molecu- lar-mass dispersity, or molecular-weight dispersity; (2 degree-of-polymerization dispersity; and (3 dispersity. “Dispersity” is a new word, coined to replace the misleading, but widely used term “polydispersity index” for Mw / Mn and Xw/ Xn. The document, although brief, also has a broader significance in that it seeks to put the terminology describing dispersions of distributions of properties of polymeric (and non-polymeric materials on an unambiguous and justifiable footing.
Richard Threlfall (Author
Full Text Available Disseminate results is one of the functions of the scientists, and we all must have approach to the knowledge to carry it a greater number of people. This is done by writing and publishing scientific articles. But though we all have good intentions and ours goals are the best, not always we get our papers are accepted and published in scientific journals. With the aim of providing assistance to achieve greater efficiency and effectiveness in our work, in this article the translation of some interesting recommendations for best writing scientific papers is presented.
Nika Aleksandra Kravos
Full Text Available Clinical outcome of patients with severe mental disorders treated with antipsychotics depends on individual response to therapy, adverse events, physical health, maintaining of physical health and of the patient’s, interpersonal (patient - therapist, health and environmental features. Replacement of antipsychotics is a common therapeutic measure. The response depends on mostly unknown genetic factors, physiological particularities of the patient and its variations. This article summarizes the most important and the most recent pharmacological properties and consequences of cross-action of antipsychotics. It specifies the basic rules and ways of replacing antipsychotic drugs in different clinical situations, and summarizes alerts, recommendations and suggestions when changing antipsychotics.
... supplementation by trained athletes seems to have limited benefits. It is important to keep dietary advice individualised considering the complexity in which the endocrine system regulates cell function, the diverse mechanisms that control homeostasis, as well as genetic variability. SA Sports Medicine Vol.16(2) 2004: 33- ...
..., agency decisions and rulings, #0;delegations of authority, filing of petitions and applications and.../Mercatus/Publications/WP0806_RSP_Midnight%20Regulations.pdf (studying the number of pages published in the..., languages spoken, past employment with DHS, past employment representing respondents in immigration cases...
The IEE Wiring Regulations Explained and Illustrated, Second Edition discusses the recommendations of the IEE Regulations for the Electrical Equipment of Buildings for the safe selection or erection of wiring installations. The book emphasizes earthing, bonding, protection, and circuit design of electrical wirings. The text reviews the fundamental requirements for safety, earthing systems, the earth fault loop impedance, and supplementary bonding. The book also describes the different types of protection, such as protection against mechanical damage, overcurrent, under voltage (which prevents
Full Text Available The concept of altitude or hypoxic training is a common practice in cycling. However, several strategies for training regimens have been proposed, like “live high, train high” (LH-TH, “live high, train low” (LH-TL or “intermittent hypoxic training” (IHT. Each of them combines the effect of acclimatization and different training protocols that require specific nutrition. An appropriate nutrition strategy and adequate hydration can help athletes achieve their fitness and performance goals in this unfriendly environment. In this review, the physiological stress of altitude exposure and training will be discussed, with specific nutrition recommendations for athletes training under such conditions. However, there is little research about the nutrition demands of athletes who train at moderate altitude. Our review considers energetic demands and body mass or body composition changes due to altitude training, including respiratory and urinary water loss under these conditions. Carbohydrate intake recommendations and hydration status are discussed in detail, while iron storage and metabolism is also considered. Last, but not least the risk of increased oxidative stress under hypoxic conditions and antioxidant supplementation suggestions are presented.
Henneken, Edwin A.; Kurtz, Michael J.; Accomazzi, Alberto; Grant, Carolyn; Thompson, Donna; Bohlen, Elizabeth; Di Milia, Giovanni; Luker, Jay; Murray, Stephen S.
The universe of potentially interesting, searchable literature is expanding continuously. Besides the normal expansion, there is an additional influx of literature because of interdisciplinary boundaries becoming more and more diffuse. Hence, the need for accurate, efficient and intelligent search tools is bigger than ever. Even with a sophisticated search engine, looking for information can still result in overwhelming results. An overload of information has the intrinsic danger of scaring visitors away, and any organization, for-profit or not-for-profit, in the business of providing scholarly information wants to capture and keep the attention of its target audience. Publishers and search engine engineers alike will benefit from a service that is able to provide visitors with recommendations that closely meet their interests. Providing visitors with special deals, new options and highlights may be interesting to a certain degree, but what makes more sense (especially from a commercial point of view) than to let visitors do most of the work by the mere action of making choices? Hiring psychics is not an option, so a technological solution is needed to recommend items that a visitor is likely to be looking for. In this presentation we will introduce such a solution and argue that it is practically feasible to incorporate this approach into a useful addition to any information retrieval system with enough usage.
Michalczyk, Małgorzata; Czuba, Miłosz; Zydek, Grzegorz; Zając, Adam; Langfort, Józef
The concept of altitude or hypoxic training is a common practice in cycling. However, several strategies for training regimens have been proposed, like “live high, train high” (LH-TH), “live high, train low” (LH-TL) or “intermittent hypoxic training” (IHT). Each of them combines the effect of acclimatization and different training protocols that require specific nutrition. An appropriate nutrition strategy and adequate hydration can help athletes achieve their fitness and performance goals in this unfriendly environment. In this review, the physiological stress of altitude exposure and training will be discussed, with specific nutrition recommendations for athletes training under such conditions. However, there is little research about the nutrition demands of athletes who train at moderate altitude. Our review considers energetic demands and body mass or body composition changes due to altitude training, including respiratory and urinary water loss under these conditions. Carbohydrate intake recommendations and hydration status are discussed in detail, while iron storage and metabolism is also considered. Last, but not least the risk of increased oxidative stress under hypoxic conditions and antioxidant supplementation suggestions are presented. PMID:27322318
Bordes, Julien; Le Floch, Ronan; Bourdais, Ludovic; Gamelin, Alexandre; Lebreton, Françoise; Perro, Gérard
Burns to the perineum are frequently exposed to faeces. Diverting colostomy is often described to prevent faecal soiling. Because this technique is invasive with frequent complications, use of non-surgical devices including specifically designed faecal management systems has been reported in perineal burns. In order to standardise the faecal management strategy in patients with perineal burns, a group of French experts was assembled. This group first evaluated the ongoing practice in France by analysing a questionnaire sent to every French burn centre. Based on the results of this study and on literature data, the experts proposed recommendations on the management of perineal burns in adults. Specifically designed faecal management systems are the first-line method to divert faeces in perineal burns. The working group proposed recommendations and an algorithm to assist in decisions in the management of perineal burns in four categories of patients, depending on total burn skin area, depth and extent of the perineal burn. In France, non-surgical devices are the leading means of faecal diversion in perineal burns. The proposed algorithm may assist in decisions in the management of perineal burns. The expert group emphasises that large clinical studies are needed to better evaluate these devices. Copyright © 2013 Elsevier Ltd and ISBI. All rights reserved.
Verma, Ramesh; Khanna, Pardeep; Chawla, Suraj
India's tourism industry generated 6.6% of the nation's Gross Domestic Product (GDP) during 2012. International travel to India is predicted to grow at an average annual rate of ∼ 8% over the next decade. The number of foreign tourists has increased by 9% to 5.8 million. Approximately 8% of travelers to developing countries require medical care during or after travel; the main diagnoses are vaccine-preventable diseases. Travelers to India can be exposed to various infectious diseases; water-borne, water-related, and zoonotic diseases may be imported to India where the disease is not endemic. The World Health Organization (WHO) emphasizes that all international travelers should be up to date with routine vaccinations. The recommended vaccinations for travelers to India vary according to the traveler's age, immunization history, existing medical conditions, duration, legal requirements for entry into countries being visited, travelers preferences, and values. Travelers should consult with a doctor so that there is sufficient time for completion of optimal vaccination schedules. No matter where traveling, one should be aware of potential exposure to certain organisms that can cause severely illnesses, even death. There is no doubt that vaccines have reduced or virtually eliminated many diseases that killed or severely disabled children and adults just a few generations ago. Thus, travelers must take recommended vaccines per schedule before traveling to India.
Swart, E; Gothe, H; Geyer, S; Jaunzeme, J; Maier, B; Grobe, T G; Ihle, P
In 2005, the Working Group for the Survey and Utilisation of Secondary Data (AGENS) of the German Society for Social Medicine and Prevention (DGSMP) and the German Society for Epidemiology (DGEpi) first published "Good Practice in Secondary Data Analysis (GPS)" formulating a standard for conducting secondary data analyses. GPS is intended as a guide for planning and conducting analyses and can provide a basis for contracts between data owners. The domain of these guidelines does not only include data routinely gathered by statutory health insurance funds and further statutory social insurance funds, but all forms of secondary data. The 11 guidelines range from ethical principles and study planning through quality assurance measures and data preparation to data privacy, contractual conditions and responsible communication of analytical results. They are complemented by explanations and practical assistance in the form of recommendations. GPS targets all persons directing their attention to secondary data, their analysis and interpretation from a scientific point of view and by employing scientific methods. This includes data owners. Furthermore, GPS is suitable to assess scientific publications regarding their quality by authors, referees and readers. In 2008, the first version of GPS was evaluated and revised by members of AGENS and the Epidemiological Methods Working Group of DGEpi, DGSMP and GMDS including other epidemiological experts and had then been accredited as implementation regulations of Good Epidemiological Practice (GEP). Since 2012, this third version of GPS is on hand and available for downloading from the DGEpi website at no charge. Especially linguistic specifications have been integrated into the current revision; its internal consistency was increased. With regards to contents, further recommendations concerning the guideline on data privacy have been added. On the basis of future developments in science and data privacy, further revisions will
The conclusions and recommendations formulated for the global program by the 8th meeting of the Expanded Program on Immunization (EPI) Global Advisory Group, which took place during November 1985, are summarized. The Global Advisory Group recommends that, in furtherance of the Five-Point Action Program endorsed by the World Health Assembly in 1983, 3 general and 4 specific actions be taken by national immunization programs with the support of the World Health Organization (WHO) to accelerate EPI progress. These recommendations reflect optimism that the 1990 goal of reducing morbidity and mortality by providing immunization for all children of the world can be realized but also acknowledge that many fundamental problems of national program management remain to be resolved. The general actions are: to promote the achievement of the 1990 immunization goal at national and international levels through collaboration among ministries, organizations, and individuals in both the public and private sectors; to adopt a mix of complementary strategies for program acceleration; and to ensure that rapid increases in coverage can be sustained through mechanisms which strengthen th delivery of other primary health care interventions. The specific actions are as follows: to provide immunization at every contact point; to reduce dropout rates between 1st and last immunizations; to improve immunization services to the disadvantaged in urban areas; and to increase priority for the control of measles, poliomyelitis, and neonatal tetanus. The WHO and the UN International Children's Emergency Fund (UNICEF) have collaborated in support of the EPI since the early days of the program. The acceleration of national efforts heightens the importance of this collaboration, particularly at the national level. It may be further facilitated by the provision of policy guidance from global and regional levels, by WHO and UNICEF collaborative agreements at the regional level, and by country agreements
Henny, Joseph; Vassault, Anne; Boursier, Guilaine; Vukasovic, Ines; Mesko Brguljan, Pika; Lohmander, Maria; Ghita, Irina; Andreu, Francisco A Bernabeu; Kroupis, Christos; Sprongl, Ludek; Thelen, Marc H M; Vanstapel, Florent J L A; Vodnik, Tatjana; Huisman, Willem; Vaubourdolle, Michel
This document is based on the original recommendation of the Expert Panel on the Theory of Reference Values of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC), updated guidelines were recently published under the auspices of the IFCC and the Clinical and Laboratory Standards Institute (CLSI). This document summarizes proposals for recommendations on: (i) The terminology, which is often confusing, noticeably concerning the terms of reference limits and decision limits. (ii) The method for the determination of reference limits according to the original procedure and the conditions, which should be used. (iii) A simple procedure allowing the medical laboratories to fulfill the requirements of the regulation and standards. The updated document proposes to verify that published reference limits are applicable to the laboratory involved. Finally, the strengths and limits of the revised recommendations (especially the selection of the reference population, the maintenance of the analytical quality, the choice of the statistical method used…) will be briefly discussed.
This paper discusses proposed changes for Part N regulations regarding naturally occuring radioactive materials. It describes the work of the Commission on NORM of the Conference of Radiation Control Program Directors (CRCPD), toward adjusting the regulations. A set of questions was formulated and a review panel established to address these questions and come back with recommended actions. The panel recommended the distinction that the material being regulated is `Technologically Enhanced Naturally Occurring Radioactive Material` (TENORM). By this they mean `naturally occurring radioactive material not regulated under the Atomic Energy Act (AEA) whose radionuclide concentrations have been increased by or as a result of human practices.` Recommendations also include: using a dose based instead of concentration based standard; refined definition of exemptions from regulations; exclusion of radon from Total Effective Dose Equivalent (TEDE) calculations; provide states flexibility in implementation; inclusion of prospective remedial and operations aspects for TENORM; provision of institutional controls.
Ban, Cornel; Seabrooke, Leonard; Freitas, Sarah
Who controls global policy debates on shadow banking regulation? By looking at the policy recommendations of the Bank of International Settlements, the International Monetary Fund and the Financial Stability Board, we show how experts tied to these institutions secured control over how shadow...
Fomcenco, Alex; Werlauff, Erik
The TEXTBOOK is a collection of carefully selected directives, regulations, and judgments. Whether you are a student, a scholar, or a practitioner of law, this book is a supplemental tool in your work with European business law. It is recommended that you have this book within your reach when you...
McDaniel, Thomas F; Parashar, Vijay
The aim of this study was to compare and provide an overview of state policies on occupational exposure, dosimetry, collimation, patient protection, and the use of portable handheld X-ray machines in dentistry. State government webpages containing radiation protection rules and regulations were scanned. The contents were compared against current federal regulations established by the Nuclear Regulatory Commission (NRC) and the US Food and Drug Administration (FDA). They were further evaluated in light of current recommendations from the National Council on Radiation Protection & Measurements (NCRP) and the American Dental Association (ADA). Most states' regulations mirror the exposure limits set forth by the NRC and FDA. Nonregulatory recommendations regarding use of dental radiography are periodically put forth by the NCRP and the ADA. State and federal agencies often follow recommendations from these scientific organizations when creating regulations. Clinicians must be aware of their state's radiation protection rules, as variations among states exist. In addition, recommendations published by organizations such as the NCRP and the ADA, while not legally binding, contribute significantly to the reduction of radiation risks for operators and patients alike.
Full Text Available This paper reports on a guided navigation system built on the textbook search engine developed at Anadolu University to support distance education students. The search engine uses Turkish Language specific language processing modules to enable searches over course material presented in Open Education Faculty textbooks. We implemented a guided navigation engine by using query log mining to our application. It makes use of previous users’ sessions to help students find information they are looking for by using fewer queries. We used item-based similarity to do query recommendation. This paper describes the search application, query expansion and evaluation of the system over existing query logs. We show that our system suggested relevant queries with a success rate of 85%.
The influence of technology in the field of gambling innovation continues to grow at a rapid pace. After a brief overview of gambling technologies and deregulation issues, this review examines the impact of technology on gambling by highlighting salient factors in the rise of Internet gambling (i.e., accessibility, affordability, anonymity, convenience, escape immersion/dissociation, disinhibition, event frequency, asociability, interactivity, and simulation). The paper also examines other factors in relation to Internet gambling including the relationship between Internet addiction and Internet gambling addiction. The paper ends by overviewing some of the social issues surrounding Internet gambling (i.e., protection of the vulnerable, Internet gambling in the workplace, electronic cash, and unscrupulous operators). Recommendations for Internet gambling operators are also provided.
Lee, Young-Ouk; Chang, Jonghwa; Fukahori, Tokio [Japan Atomic Energy Research Inst., Tokai, Ibaraki (Japan). Tokai Research Establishment
In order to generate photonuclear cross section library for the necessary applications, data evaluation is combined with theoretical evaluation, since photonuclear cross sections measured cannot provide all necessary data. This report recommends a procedure consisting of four steps: (1) analysis of experimental data, (2) data evaluation, (3) theoretical evaluation and, if necessary, (4) modification of results. In the stage of analysis, data obtained by different measurements are reprocessed through the analysis of their discrepancies to a representative data set. In the data evaluation, photonuclear absorption cross sections are evaluated via giant dipole resonance and quasi-deutron mechanism. With photoabsorption cross sections from the data evaluation, theoretical evaluation is applied to determine various decay channel cross sections and emission spectra using equilibrium and preequilibrium mechanism. After this, the calculated results are compared with measured data, and in some cases the results are modified to better describe measurements. (author)
Full Text Available Selecting appropriate skis remains a difficult task for many customers due to the lack of information provided on the bending and torsional stiffnesses of these products. This work investigates how these mechanical properties influence the on-snow ski performance and how an individual skier profile is related to its preferred mechanical properties. To do so, twelve skis were manufactured to exhibit large variations in stiffnesses. Twenty-three skiers provided on-snow feedback and skier profiles through a questionnaire. Simple and multivariable linear correlation analyses were carried out between the skier profile data, their evaluations of the skis and the stiffnesses of the skis. Strong relationships were found between the properties of the skis and some performance criteria, and between the profile of the skiers and the properties of their favourite skis. With further testing, these relationships could be used to design personalized recommendation tools or to guide the design of custom skis.
Bakke, P S; Rönmark, E; Eagan, T
The prevalence of chronic obstructive pulmonary disease (COPD) has been extensively studied, especially in Western Europe and North America. Few of these data are directly comparable because of differences between the surveys regarding composition of study populations, diagnostic criteria...... of the disease and definitions of the risk factors. Few community studies have examined phenotypes of COPD and included other ways of characterising the disease beyond that of spirometry. The objective of the present Task Force report is to present recommendations for the performance of general population...... studies in COPD in order to facilitate comparable and valid estimates on COPD prevalence by various risk factors. Diagnostic criteria in epidemiological settings, and standardised methods to examine the disease and its potential risk factors are discussed. The paper also offers practical advice...
Sánchez-Valverde Visus, F; Moráis López, A; Ibáñez, J; Dalmau Serra, J
Several health benefits have been attributed to sports practice, and an adequate nutrition status helps to maintain an optimal performance. Children most frequently practice non-competitive and non-endurance activities in a school setting. The dietary intake of children who practice sports should be similar to the general population, properly meeting their energy and nutrient requirements. During the activity performance, correct hydration should be aimed for, with water appearing to be an adequate source in most cases. General calorie and micronutrient supplementation should not be commonly recommended in children. Paediatricians must control nutritional status and dietary habits of children who practice sports, especially in those cases when weight-loss is aimed for, as well as take into account the psychological implications of competitive sports practice. Copyright © 2013 Asociación Española de Pediatría. Published by Elsevier Espana. All rights reserved.
Full Text Available Intelligent CAD garment design becomes more and more popular by attracting the attentions from both manufacturers and professional stylists. The existing garment CAD systems and clothing simulation software fail to provide user-friendly interfaces as well as dynamic recommendation during the garment creation process. In this paper, we propose an intelligent hypertouch garment design system, which dynamically predicts the possible solutions along with the intelligent design procedure. User behavioral information and dynamic shape matching are used to learn and predict the desired garment patterns. We also propose a new hypertouch concept of gesture-based interaction for our system. We evaluate our system with a prototype platform. The results show that our system is effective, robust, and easy to use for quick garment design.
Australia's health care clientele reflects the diversity of this multicultural society. Patients and health care professionals have expectations of health care which may not be met to their satisfaction or needs. The perceived inadequacies of and increased demands on the Australian health care system are reflected in the literature and by active political lobbying. Thus, there is an urgent need to investigate how the health care system can be improved and how recommendations from research can be put into place. One mechanism that may provide some of the changes required is to use the skills, experience and qualifications of culturally and linguistically diverse nurses. This paper, which is based on a descriptive ethnographic research project, will provide insight for utilizing this valuable and available resource, and how nursing education curricula can be modified to adequately incorporate transcultural nursing practices, so that nurses can meet the challenges of caring for Australia's multicultural population.
Henneken, Edwin A; Accomazzi, Alberto; Grant, Carolyn; Thompson, Donna; Bohlen, Elizabeth; Di Milia, Giovanni; Luker, Jay; Murray, Stephen S
The universe of potentially interesting, searchable literature is expanding continuously. Besides the normal expansion, there is an additional influx of literature because of interdisciplinary boundaries becoming more and more diffuse. Hence, the need for accurate, efficient and intelligent search tools is bigger than ever. Even with a sophisticated search engine, looking for information can still result in overwhelming results. An overload of information has the intrinsic danger of scaring visitors away, and any organization, for-profit or not-for-profit, in the business of providing scholarly information wants to capture and keep the attention of its target audience. Publishers and search engine engineers alike will benefit from a service that is able to provide visitors with recommendations that closely meet their interests. Providing visitors with special deals, new options and highlights may be interesting to a certain degree, but what makes more sense (especially from a commercial point of view) than to...
Caplan, Arthur L; Kimberly, Laura L; Parent, Brendan; Sosin, Michael; Rodriguez, Eduardo D
For men with significant genitourinary injury, penile transplantation is being considered as an option when reconstruction is not feasible or proves unacceptable to the injured patient. A review of the literature was conducted to assess the current state of penile reconstruction and transplantation options, as well as to evaluate scholarly research addressing the ethical dimensions of penile transplantation. The state of penile transplantation is elementary. If reconstruction is not a possibility, proceeding ethically with research on penile vascularized composite allotransplantation will require the articulation of guidelines. To date, very little has been published in the scholarly literature assessing the ethics of penile transplantation. Guidelines should be developed to address penile transplantation and must cover the donation of tissue, consent, subject selection, qualifications of the surgical team, and management of both failure and patient dissatisfaction. Unless guidelines are established and disseminated, penile transplants should not be undertaken. The preliminary recommendations suggested in this article may help to inform development of guidelines.
Bakke, P S; Rönmark, E; Eagan, T
The prevalence of chronic obstructive pulmonary disease (COPD) has been extensively studied, especially in Western Europe and North America. Few of these data are directly comparable because of differences between the surveys regarding composition of study populations, diagnostic criteria...... studies in COPD in order to facilitate comparable and valid estimates on COPD prevalence by various risk factors. Diagnostic criteria in epidemiological settings, and standardised methods to examine the disease and its potential risk factors are discussed. The paper also offers practical advice...... of the disease and definitions of the risk factors. Few community studies have examined phenotypes of COPD and included other ways of characterising the disease beyond that of spirometry. The objective of the present Task Force report is to present recommendations for the performance of general population...
Geraedts, Max; Selbmann, Hans-Konrad
The German Health Ministry funded 10 demonstration projects and accompanying research of benchmarking in health care. The accompanying research work aimed to infer generalisable findings and recommendations. We performed a meta-evaluation of the demonstration projects and analysed national and international approaches to benchmarking in health care. It was found that the typical benchmarking sequence is hardly ever realised. Most projects lack a detailed analysis of structures and processes of the best performers as a starting point for the process of learning from and adopting best practice. To tap the full potential of benchmarking in health care, participation in voluntary benchmarking projects should be promoted that have been demonstrated to follow all the typical steps of a benchmarking process. Copyright © 2011. Published by Elsevier GmbH.
Eilat-Adar, Sigal; Sinai, Tali; Yosefy, Chaim; Henkin, Yaakov
Lifestyle factors, including nutrition, play an important role in the etiology of Cardiovascular Disease (CVD). This position paper, written by collaboration between the Israel Heart Association and the Israel Dietetic Association, summarizes the current, preferably latest, literature on the association of nutrition and CVD with emphasis on the level of evidence and practical recommendations. The nutritional information is divided into three main sections: dietary patterns, individual food items, and nutritional supplements. The dietary patterns reviewed include low carbohydrate diet, low-fat diet, Mediterranean diet, and the DASH diet. Foods reviewed in the second section include: whole grains and dietary fiber, vegetables and fruits, nuts, soy, dairy products, alcoholic drinks, coffee and caffeine, tea, chocolate, garlic, and eggs. Supplements reviewed in the third section include salt and sodium, omega-3 and fish oil, phytosterols, antioxidants, vitamin D, magnesium, homocysteine-reducing agents, and coenzyme Q10. PMID:24067391
Fletcher, J; Bender, C; Budowle, B; Cobb, W T; Gold, S E; Ishimaru, C A; Luster, D; Melcher, U; Murch, R; Scherm, H; Seem, R C; Sherwood, J L; Sobral, B W; Tolin, S A
A biological attack on U.S. crops, rangelands, or forests could reduce yield and quality, erode consumer confidence, affect economic health and the environment, and possibly impact human nutrition and international relations. Preparedness for a crop bioterror event requires a strong national security plan that includes steps for microbial forensics and criminal attribution. However, U.S. crop producers, consultants, and agricultural scientists have traditionally focused primarily on strategies for prevention and management of diseases introduced naturally or unintentionally rather than on responding appropriately to an intentional pathogen introduction. We assess currently available information, technologies, and resources that were developed originally to ensure plant health but also could be utilized for postintroduction plant pathogen forensics. Recommendations for prioritization of efforts and resource expenditures needed to enhance our plant pathogen forensics capabilities are presented.
Eilat-Adar, Sigal; Sinai, Tali; Yosefy, Chaim; Henkin, Yaakov
Lifestyle factors, including nutrition, play an important role in the etiology of Cardiovascular Disease (CVD). This position paper, written by collaboration between the Israel Heart Association and the Israel Dietetic Association, summarizes the current, preferably latest, literature on the association of nutrition and CVD with emphasis on the level of evidence and practical recommendations. The nutritional information is divided into three main sections: dietary patterns, individual food items, and nutritional supplements. The dietary patterns reviewed include low carbohydrate diet, low-fat diet, Mediterranean diet, and the DASH diet. Foods reviewed in the second section include: whole grains and dietary fiber, vegetables and fruits, nuts, soy, dairy products, alcoholic drinks, coffee and caffeine, tea, chocolate, garlic, and eggs. Supplements reviewed in the third section include salt and sodium, omega-3 and fish oil, phytosterols, antioxidants, vitamin D, magnesium, homocysteine-reducing agents, and coenzyme Q10.
Full Text Available Lifestyle factors, including nutrition, play an important role in the etiology of Cardiovascular Disease (CVD. This position paper, written by collaboration between the Israel Heart Association and the Israel Dietetic Association, summarizes the current, preferably latest, literature on the association of nutrition and CVD with emphasis on the level of evidence and practical recommendations. The nutritional information is divided into three main sections: dietary patterns, individual food items, and nutritional supplements. The dietary patterns reviewed include low carbohydrate diet, low-fat diet, Mediterranean diet, and the DASH diet. Foods reviewed in the second section include: whole grains and dietary fiber, vegetables and fruits, nuts, soy, dairy products, alcoholic drinks, coffee and caffeine, tea, chocolate, garlic, and eggs. Supplements reviewed in the third section include salt and sodium, omega-3 and fish oil, phytosterols, antioxidants, vitamin D, magnesium, homocysteine-reducing agents, and coenzyme Q10.
Mintegi, S; Esparza, M J; González, J C; Rubio, B; Sánchez, F; Vila, J J; Yagüe, F; Benítez, M T
Poisoning is the fifth leading cause of death from unintentional injury in the WHO European region, while Spain is in the group with a lower rate. Most involuntary poisonings occur in young children while they are at the home, due to unintentional ingestion of therapeutic drugs or household products. Of these, a large percentage is stored in non-original containers and/or within reach of children. In this article, the Committee on Safety and Non-Intentional Injury Prevention in Childhood of the Spanish Association of Pediatrics provides a series of recommendations, educational as well as legal, to prevent such cases. Copyright © 2014 Asociación Española de Pediatría. Published by Elsevier España, S.L.U. All rights reserved.
Rubio, B; Yagüe, F; Benítez, M T; Esparza, M J; González, J C; Sánchez, F; Vila, J J; Mintegi, S
Drowning is the second leading cause of non-intentional death in children under the age of 19 in Europe. Weather conditions in Spain allow an extended period of contact with water, therefore increasing the risk of drowning (due to the increased exposure), and constitutes the second leading cause of accidental death in children less than 14 years of age. In children younger than 5 years, drowning occurs mostly in pools belonging to private homes or communities, while in older children, drowning is often linked to aquatic recreational activities in lakes, sea, rivers and canals, and at times associated with alcohol consumption. In this article, the Committee on Safety and Non-Intentional Injury Prevention in Childhood of the Spanish Association of Pediatrics provides a series of architectonic, educational and legislative recommendations to prevent such incidents. Copyright © 2014 Asociación Española de Pediatría. Published by Elsevier Espana. All rights reserved.
Baudin, Eric; Caron, Philippe; Lombard-Bohas, Catherine; Tabarin, Antoine; Mitry, Emmanuel; Reznick, Yves; Taieb, David; Pattou, François; Goudet, Pierre; Vezzosi, Delphine; Scoazec, Jean-Yves; Cadiot, Guillaume; Borson-Chazot, Françoise; Do Cao, Christine
Insulinoma are malignant in 4 to 14 % of cases. Their rarity and the sparse data available in the literature have limited publication of specific guidelines for their management. The following review aim to provide up-to-date recommendations on initial evaluation including pathologic grading, measures to control hypoglycemia, antitumor strategies and long term follow-up. Will be discussed in detail respective indications of surgery, diazoxide, somatostatin analogs, everolimus, sunitinib, liver directed treatments including arterial embolization, chemotherapy and radiometabolic therapy. A Medline search using terms "insulinoma", "neuroendocrine pancreatic tumors", "islet cell carcinoma", "malignant insulinoma" was performed limiting the selection to English language articles and adult age cases, along with cross referencing. Copyright © 2014 Elsevier Masson SAS. All rights reserved.
LaBella, Cynthia R; Mjaanes, Jeffrey
Over the last 30 years, cheerleading has increased dramatically in popularity and has evolved from leading the crowd in cheers at sporting events into a competitive, year-round sport involving complex acrobatic stunts and tumbling. Consequently, cheerleading injuries have steadily increased over the years in both number and severity. Sprains and strains to the lower extremities are the most common injuries. Although the overall injury rate remains relatively low, cheerleading has accounted for approximately 66% of all catastrophic injuries in high school girl athletes over the past 25 years. Risk factors for injuries in cheerleading include higher BMI, previous injury, cheering on harder surfaces, performing stunts, and supervision by a coach with low level of training and experience. This policy statement describes the epidemiology of cheerleading injuries and provides recommendations for injury prevention.
Demoor-Goldschmidt, Charlotte; Fayech, Chiraz; Girard, Pauline; Plantaz, Dominique
Cure rates for most childhood cancers and adolescents have made remarkable progress over the last thirty to forty years. The development of secondary malignancies has become an important question for these patients. The frequency is low, but the risk is significantly higher (between 3 and 10 times) and it is the leading cause of long-term mortality off relapse. In this literature review, we discuss the epidemiological aspect and the risk factors contributing to this increased risk, and conclude with a summary of current recommendations for screening and surveillance. We also discuss briefly the constitutional predisposing genetic contributions to other cancers. Copyright © 2015 Société Française du Cancer. Published by Elsevier Masson SAS. All rights reserved.
Full Text Available Vitamin D is a fat-soluble vitamin that plays an important role in bone metabolism and immune system. Low vitamin D levels (< 50 nmol/l have been widely reported in all age groups in recent years. Lack of vitamin D is associated with increased overall and cardiovascular mortality, cancer incidence and mortality, and autoimmune diseases. Vitamin D deficiency is rising, mainly due to modern lifestyle and malabsorption disorders. As an adequate intake of vitamin D is hard to achieve through the diet alone, the dietary supplements of vitamin D are recommended. Sun exposure (ultraviolet B radiation, UVB represents the main source of vitamin D, which is synthesised in the skin. UVB intensity varies through the year and the time of day. The peak UVB period is between 10 am to 4 pm from April till October (above 40° latitude. There is no universal consent on the amount and frequency of vitamin D supplementation. A sufficient supplementation of vitamin D is necessary through the whole life cycle, especially during lactation. With sufficient supplementation of vitamin D during lactation (4,000 IU/day mother covers her own and through her breast milk also the child`s nutritional needs (400 IU/day for vitamin D. However, further research in this field is needed before recommending such a high supplementation for nursing mothers. New German Reference values from 2012 advises 400 IU / day for infants during the first year of life, and afterwards 800 IU/day for the entire population.
Henderson, C. S. [Washington River Protection Solutions, Richland, WA (United States); Mackey, Thomas C. [Washington River Protection Solutions, Richland, WA (United States)
The information and evaluations provided in this report were compiled to address the recurring problem of synthetic sling failure. As safety is the number one priority in all work aspects, a solution must be devised to prevent accidents from occurring. A total of thirteen cases regarding synthetic sling failure were evaluated in order to determine their causes, effects, and preventative measures. From the collected data, it was found that all cases in which the synthetic sling contacted the edge of its load resulted in sling failure. It is required that adequate synthetic sling protection devices be used to protect slings in any lift where the sling comes in direct contact with the edge or corner of its load. However, there are no consensus codes or standards stating the type, material, or purpose of the type of protective device used to protect the sling from being cut. Numerous industry standards and codes provide vague descriptions on how to protect synthetic slings. Without a clear, concise statement of how to protect synthetic slings, it is common for inadequate materials and sling protection devices to be used in an attempt to meet the intent of these requirements. The use of an inadequate sling protection device is the main cause of synthetic sling failure in all researched cases. Commercial sling protection devices come in many shapes and sizes, and have a variety of names, as well as advertised uses. 'Abrasion pads' and 'wear protectors' are two different names for products with the same intended purpose. There is no distinguishable way to determine the extent of sling protection which these devices will provide, or what specific scenarios they are made for. This creates room for error in a field where error is unacceptable. This report provides a recommended action for hoisting and rigging activities which require synthetic slings to contact a load, as well as recommended changes to industry standards which will benefit overall
Garwick, Ann W; Rhodes, Kristine L; Peterson-Hickey, Melanie; Hellerstedt, Wendy L
American Indian adolescent pregnancy rates are high, yet little is known about how Native youth view primary pregnancy prevention. The aim was to identify pregnancy prevention strategies from the perspectives of both male and female urban Native youth to inform program development. Native Teen Voices (NTV) was a community-based participatory action research study in Minneapolis and St. Paul, Minnesota. Twenty focus groups were held with 148 Native youth who had never been involved in a pregnancy. Groups were stratified by age (13-15 and 16-18 years) and sex. Participants were asked what they would do to prevent adolescent pregnancy if they were in charge of programs for Native youth. Content analyses were used to identify and categorize the range and types of participants' recommendations within and across the age and sex cohorts. Participants in all cohorts emphasized the following themes: show the consequences of adolescent pregnancy; enhance and develop more pregnancy prevention programs for Native youth in schools and community-based organizations; improve access to contraceptives; discuss teen pregnancy with Native youth; and use key messages and media to reach Native youth. Native youth perceived limited access to comprehensive pregnancy prevention education, community-based programs and contraceptives. They suggested a variety of venues and mechanisms to address gaps in sexual health services and emphasized enhancing school-based resources and involving knowledgeable Native peers and elders in school and community-based adolescent pregnancy prevention initiatives. A few recommendations varied by age and sex, consistent with differences in cognitive and emotional development.
Behrens, Paul; Kiefte-de Jong, Jessica C; Bosker, Thijs; Rodrigues, João F D; de Koning, Arjan; Tukker, Arnold
Dietary choices drive both health and environmental outcomes. Information on diets come from many sources, with nationally recommended diets (NRDs) by governmental or similar advisory bodies the most authoritative. Little or no attention is placed on the environmental impacts within NRDs. Here we quantify the impact of nation-specific NRDs, compared with an average diet in 37 nations, representing 64% of global population. We focus on greenhouse gases (GHGs), eutrophication, and land use because these have impacts reaching or exceeding planetary boundaries. We show that compared with average diets, NRDs in high-income nations are associated with reductions in GHG, eutrophication, and land use from 13.0 to 24.8%, 9.8 to 21.3%, and 5.7 to 17.6%, respectively. In upper-middle-income nations, NRDs are associated with slight decrease in impacts of 0.8-12.2%, 7.7-19.4%, and 7.2-18.6%. In poorer middle-income nations, impacts increase by 12.4-17.0%, 24.5-31.9%, and 8.8-14.8%. The reduced environmental impact in high-income countries is driven by reductions in calories (∼54% of effect) and a change in composition (∼46%). The increased environmental impacts of NRDs in low- and middle-income nations are associated with increased intake in animal products. Uniform adoption of NRDs across these nations would result in reductions of 0.19-0.53 Gt CO2 eq⋅a-1, 4.32-10.6 Gt [Formula: see text] eq⋅a-1, and 1.5-2.8 million km2, while providing the health cobenefits of adopting an NRD. As a small number of dietary guidelines are beginning to incorporate more general environmental concerns, we anticipate that this work will provide a standardized baseline for future work to optimize recommended diets further. Copyright © 2017 the Author(s). Published by PNAS.
Jordan-Meille, L.; Rubaek, G.H.; Ehlert, P.A.I.; Genot, V.; Hofman, G.; Goulding, K.; Recknagel, J.; Provolo, G.; Barraclough, P.
The procedure for applying phosphorus (P) fertilizer to soil can be divided into three consecutive steps: (i) Measurement of soil-P availability, (ii) calibration of the soil-P fertility level and (iii) estimation of the recommended P dose. Information on each of these steps was obtained for 18
Is the information currently available to adjust nutritional recommendations and develop individualized nutrition? No. There is not even the information needed for setting dietary recommendations with confidence now at the group level. Will it be available soon? The answer to this question depends on the drive and will of the nutritional community, the success in recruiting funding to the area, the education of nutritionists and the spawning of great ideas and approaches. The emerging tools of genomics, proteomics and metabolomics are enabling the in-depth study of relationships between diet, genetics and metabolism. The advent of technologies can be compared with the discovery of the microscope and the new dimensions of scientific visualization enabled by that discovery. Nutritionists stand at the crest of new waves of data that can be generated, and new methods for their digestion will be required. To date, the study of dietary requirements has been based largely on a black box approach. Subjects are supplemented or depleted and clinical outcomes are observed. Few recommendations are based on metabolic outcomes. Metabolomics and nutrigenomics promise tools with which recommendations can be refined to meet individual requirements and the potential of individualized nutrition can be explored. As yet, these tools are not being widely applied in nutritional research and are rarely being applied by nutritionists. The result is often interesting research that is frequently nutritionally flawed, resulting in inappropriate conclusions. Nutritional education is needed to put nutritionists at the forefront of the development of applications for these technologies, creating a generation of nutrigenomicists. A new generation of nutritionists should be working interdisciplinarily with geneticists, molecular biologists and bioinformaticians in the development of research strategies. The present paper reviews the current status of nutrigenomic research, the current
Portfolio assessment (PA) has been extensively adopted for writing development in the past three decades. Much research on PA primarily investigates students' and teachers' perceptions of its benefits, and how it influences students' motivation and general writing abilities. Despite its purported effectiveness, not much has been…
.... Mexico is the largest producer of leafy green vegetables in Latin America and was the ninth largest.... For example, differences in water sources, geography, climate, or size of operation could require...
Full Text Available The main conclusions of the FLAIR project can be summarized as follows:
1. The sensory wheel set up by the FLAIR team is proposed as a European standard to evaluate the sensory profile of extra virgin olive oil.
2. Preference studies demonstrate that the sensory profile of extra virgin olive oil should be optimized as a function of consumer expectations. Once a sensory profile has been selected, it must be used as a reference for product standardization.
3. Sensory analysis cannot be used as a legal tool for evaluating the quality or the origin of extra virgin olive oils. It is suggested that a sensory test can only be used as a legal tool if it is applied to assess the absence of defects. This implies a modification of the COI test.
4. The Good Manufacturing Practices set up by the Flair team are proposed as a European standard for process control and quality system certification.
5. Nutritional studies demonstrate that extra virgin olive oil has a noticeable in vivo antioxidant activity. This activity is related to the tocopherols and phenols content of oil and is highly varietydependent.
Full Text Available Socio-economic considerations are included in the regulatory frameworks on genetically modified organisms (GMOs of many countries. This is a reflection of an increasing interest in and recognition of the necessity to consider a broader range of issues when conducting a GMO risk assessment. At the same time, there are discussions about how socio-economic considerations can be identified and how their assessment can be carried out. To provide an understanding of the advances achieved so far, we describe the state of the art of existing biosafety institutional frameworks, legislation and policies with provisions on socio-economic considerations. We analyse the scope of the socio-economic considerations that have been included, the methodological options taken and the role of participatory processes and stakeholders involvement in the GMO-related decision-making. Since many of the countries that have legislation for assessing socio-economic considerations lack implementation experience, we provide an analysis of how implementation has evolved in Norway with the intention to illustrate that the inclusion of socio-economic considerations might be based on a learning process. Norway was the first country to include broader issues in its GMO assessment process, and is at present one of the countries with the most experience on implementation of these issues. Finally, we emphasise that there is a great need for training on how to perform assessments of socio-economic considerations, as well as reflection on possible ways for inclusion of participatory processes.
Erkin, Z.; Veugen, P.J.M.; Toft, T.; Lagendijk, R.L.
Recommender systems have become an important tool for personalization of online services. Generating recommendations in online services depends on privacy-sensitive data collected from the users. Traditional data protection mechanisms focus on access control and secure transmission, which provide
Erkin, Zekeriya; Erkin, Zekeriya; Veugen, Thijs; Toft, Tomas; Lagendijk, Reginald L.
Recommender systems have become an important tool for personalization of online services. Generating recommendations in online services depends on privacy-sensitive data collected from the users. Traditional data protection mechanisms focus on access control and secure transmission, which provide
... html Too Soon to Widely Recommend Ketamine for Depression Not enough is known about the drug's long- ... on the party scene -- shows promise as a depression treatment. But researchers aren't ready to recommend ...
Hartman, Jorine E.; Boezen, H. Marike; Zuidema, Menno J.; de Greef, Mathieu H. G.; ten Hacken, Nick H. T.; Boezen, Hendrika
Background: Physical activity recommendations are hardly studied in patients with chronic obstructive pulmonary disease (COPD), and specifically recommendations that are individualized to a patient's aerobic fitness level are not studied. Objectives: To compare individualized (relative) and
This PhD thesis presents ART (Automatic Recommendation Technologies), a set of group recommendation algorithms that detect groups of users with similar preferences. With respect to classic group recommendation, the first step that such systems have to compute is the detection of groups of people with similar preferences, in order to respect the constraint on the number of recommendations that can be produced and maximize users’ satisfaction.
Manouselis, Nikos; Verbert, Katrien
Presents cutting edge research from leading experts in the growing field of Recommender Systems for Technology Enhanced Learning (RecSys TEL) International contributions are included to demonstrate the merging of various efforts and communities Topics include: Linked Data and the Social Web as Facilitators for TEL Recommender Systems in Research and Practice, Personalised Learning-Plan Recommendations in Game-Based Learning and Recommendations from Heterogeneous Sources in a Technology Enhanced Learning Ecosystem
Vucenik, Ivana; Stains, Joseph P
Obesity, a growing health problem worldwide, has been associated with the metabolic syndrome, diabetes, cardiovascular disease, hypertension, and other chronic diseases. Recently, the obesity-cancer link has received much attention. Epidemiological studies have shown that obesity is also associated with increased risk of several cancer types, including colon, breast, endometrium, liver, kidney, esophagus, gastric, pancreatic, gallbladder, and leukemia, and can also lead to poorer treatment and increased cancer-related mortality. Biological mechanisms underlying the relationship between obesity and cancer are not well understood. They include modulation of energy balance and calorie restriction, growth factors, multiple signaling pathways, and inflammatory processes. Key among the signaling pathways linking obesity and cancer is the PI3K/Akt/mTOR cascade, which is a target of many of the obesity-associated factors and regulates cell proliferation and survival. Understanding the molecular and cellular mechanisms of the obesity-cancer connection is important in developing potential therapeutics. The link between obesity and cancer underscores the recommendation to maintain a healthy body weight throughout life as one of the most important ways to protect against cancer. © 2012 New York Academy of Sciences.
Camilleri, Michael; Parke, David W
There are differences in conflicts of interest (COIs) in professional organizations compared with academic medical centers. The authors discuss nine major questions pertaining to industry relationships of professional organizations: (1) What makes COI management different in professional membership organizations? (2) What COI challenges are specific to professional organizations? (3) What are potential impacts of perceived or real COIs involving professional organizations and the management of COIs? (4) Is regulation necessary, or should professional organizations proactively resolve COI issues independently? (5) Are guidelines portable from academic medical centers to professional organizations? (6) What approaches may be considered for managing COIs of the organization's leaders? (7) What approaches are reasonable for managing COI issues at professional meetings? (8) What approaches are important for integrity of educational programs, publications, and products? and (9) What approaches are reasonable for managing and enforcing COI guidelines on an ongoing basis? Responses to these questions focus on four principles: First, a code of ethics governing general behavior of members and safeguarding the interest of patients must be in place; second, the monitoring and management of COI for leadership, including, in some cases, recusal from certain activities; third, the pooling and consistent, transparent management of unrestricted grants from corporate sponsors; and, fourth, the management of industry marketing efforts at membership meetings to ensure their appropriateness. The perspectives offered are intended to encourage individuals and learned bodies to further study and provide commentary and recommendations on managing COIs of a professional organization.
Full Text Available Vitamin D is well known for its role in calcium regulation and bone health, but emerging literature tells of vitamin D’s central role in other vital body processes, such as: signaling gene response, protein synthesis, hormone synthesis, immune response, plus, cell turnover and regeneration. The discovery of the vitamin D receptor within the muscle suggested a significant role for vitamin D in muscle tissue function. This discovery led researchers to question the impact that vitamin D deficiency could have on athletic performance and injury. With over 77% of the general population considered vitamin D insufficient, it’s likely that many athletes fall into the same category. Research has suggested vitamin D to have a significant effect on muscle weakness, pain, balance, and fractures in the aging population; still, the athletic population is yet to be fully examined. There are few studies to date that have examined the relationship between vitamin D status and performance, therefore, this review will focus on the bodily roles of vitamin D, recommended 25(OHD levels, vitamin D intake guidelines and risk factors for vitamin D insufficiency in athletes. In addition, the preliminary findings regarding vitamin D’s impact on athletic performance will be examined.
Carlton, W.H.; Gordon, D.E.; Johnson, W.F.; Kaback, D.S.; Looney, B.B.; Nichols, R.L.; Shedrow, C.B.
One hundred and sixty six disposal facilities that received or may have received waste materials resulting from operations at the Savannah River Plant (SRP) have been identified. These waste range from innocuous solid and liquid materials (e.g., wood piles) to process effluents that contain hazardous and/or radioactive constituents. The waste sites have been grouped into 45 categories according the the type of waste materials they received. Waste sites are located with SRP coordinates, a local Department of Energy (DOE) grid system whose grid north is 36 degrees 22 minutes west of true north. DOE policy is to close all waste sites at SRP in a manner consistent with protecting human health and environment and complying with applicable environmental regulations (DOE 1984). A uniform, explicit characterization program for SRP waste sites will provide a sound technical basis for developing closure plans. Several elements are summarized in the following individual sections including (1) a review of the history, geohydrology, and available characterization data for each waste site and (2) recommendations for additional characterization necessary to prepare a reasonable closure plan. Many waste sites have been fully characterized, while others have not been investigated at all. The approach used in this report is to evaluate available groundwater quality and site history data. For example, groundwater data are compared to review criteria to help determine what additional information is required. The review criteria are based on regulatory and DOE guidelines for acceptable concentrations of constituents in groundwater and soil.
Recommender systems are becoming an increasingly important research area due to the growing demand for personalized recommendations. The volume of information available to each user and the number of products carried in e-commerce marketplaces have grown tremendously. Thus, recommender systems are needed to help individual users find the most…
Floch, Martin H.; Walker, W. Allan; Sanders, Mary Ellen; Nieuwdorp, Max; Kim, Adam S.; Brenner, David A.; Qamar, Amir A.; Miloh, Tamir A.; Guarino, Alfredo; Guslandi, Mario; Dieleman, Levinus A.; Ringel, Yehuda; Quigley, Eamonn M. M.; Brandt, Lawrence J.
This paper describes the consensus opinion of the participants in the 4th Triennial Yale/Harvard Workshop on Probiotic Recommendations. The recommendations update those of the first 3 meetings that were published in 2006, 2008, and 2011. Recommendations for the use of probiotics in necrotizing
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Erdt, Mojisola; Fernandez, Alejandro; Rensing, Christoph
The increasing number of publications on recommender systems for Technology Enhanced Learning (TEL) evidence a growing interest in their development and deployment. In order to support learning, recommender systems for TEL need to consider specific requirements, which differ from the requirements for recommender systems in other domains like…
Yeung, Chi Ho
Recommender systems are present in many web applications to guide purchase choices. They increase sales and benefit sellers, but whether they benefit customers by providing relevant products remains less explored. While in many cases the recommended products are relevant to users, in other cases customers may be tempted to purchase the products only because they are recommended. Here we introduce a model to examine the benefit of recommender systems for users, and find that recommendations from the system can be equivalent to random draws if one always follows the recommendations and seldom purchases according to his or her own preference. Nevertheless, with sufficient information about user preferences, recommendations become accurate and an abrupt transition to this accurate regime is observed for some of the studied algorithms. On the other hand, we find that high estimated accuracy indicated by common accuracy metrics is not necessarily equivalent to high real accuracy in matching users with products. This disagreement between estimated and real accuracy serves as an alarm for operators and researchers who evaluate recommender systems merely with accuracy metrics. We tested our model with a real dataset and observed similar behaviors. Finally, a recommendation approach with improved accuracy is suggested. These results imply that recommender systems can benefit users, but the more frequently a user purchases the recommended products, the less relevant the recommended products are in matching user taste.
Erkin, Z.; Veugen, P.J.M.; Lagendijk, R.L.
Recommender systems have become increasingly important in e-commerce as they can guide customers with finding personalized services and products. A variant of recommender systems that generates recommendations from a set of trusted people is recently getting more attention in social networks.
Rubín Suárez, Angel; Bilbao Aguirre, Itxarone; Fernández-Castroagudin, Javier; Pons Miñano, José Antonio; Salcedo Plaza, Magdalena; Varo Pérez, Evaristo; Prieto Castillo, Martín
Mammalian target of rapamycin (mTOR) inhibitors, everolimus (EVL) and sirolimus are immunosuppressive agents with a minor nephrotoxic effect, limited to the development of proteinuria in some cases. The combination of EVL and low-dose tacrolimus has proven to be as safe and effective as standard therapy with tacrolimus for the prevention of acute cellular rejection. Early initiation of EVL-based immunosuppressive regimens with reduced exposure to calcineurin inhibitors has been shown to significantly improve renal function of LT recipients during induction and maintenance phases, with comparable efficacy and safety profiles. In patients with established kidney failure, initiating EVL may enable clinicians to reduce calcineurin inhibitors exposure, thereby contributing to the improved renal function of these patients. Although there is not sufficient evidence to recommend their use to prevent the recurrence of hepatocellular carcinoma and the progression of de novo tumours, they are used in this context in routine clinical practice. Copyright © 2017 Elsevier España, S.L.U., AEEH y AEG. All rights reserved.
Stewart, Donald F.; Harris, Bernard A., Jr.
The recommendations summarized herein constitute a basis on which an initial exercise prescription can be formulated. It is noteworthy that any exercise program designed currently would be an approximation. Examination of the existing space-flight data reveals a scarcity of in-flight data on which to rigorously design an exercise program. The relevant experience within the U.S. space program (with regard to long-duration space flight) is limited to the Skylab Program. Lessons learned from Skylab are relevant to the design of a Space Station exercise program, especially with regard to the total length of exercise time required, cardiovascular (CV) deconditioning/reconditioning, and bone loss. Certain observations of the U.S.S.R. exercise activities can also contribute to the formulation of an exercise prescription of Space Station. Reportedly, the U.S.S.R. uses both a bicycle ergometer and a treadmill device on long-duration missions with some degree of success. Using the third crew of Salyut 6, which was a 175-day stay, as a representative mission, the typical time dedicated to exercise varies from 2 to 3 hours per day. In addition, the cosmonauts wear an elasticized suit, called a penquin suit, for time periods ranging from 12 to 16 hours per day. This device provides a load across the axial skeleton against which the wearer must exert himself. Despite these extensive countermeasures, the effects of adaptation are not totally prevented.
Laser dyes are complex fluorescent organic compounds which, when in solution with organic solvents, form a lasing medium. The wavelength of a dye laser's output beam can vary with different dyes, concentrations, and solvents, giving it a tunable feature capable of emitting ultraviolet, visible, or infrared radiation. Toxicity information on the approximately 100 commercially available laser dyes is very scarce. Limited animal experimentation has been performed with only a few dyes. This paper summarizes what is known about laser dye toxicity, and offers recommendations for controlling dye hazards. The laser dyes investigated have been categorized according to their central chemical structures. These include the xanthenes (rhodamines and fluoresceins), polymethines (cyanines and carbocyanines), coumarins, and stilbenes. A few other miscellaneous dyes that do not fall into one of these categories have also been investigated. Prepared laser dye solutions usually contain very small quantities of dye--typical dye concentrations are 10/sup -2/ to 10/sup -5/ molar. For this reason, the solvent in which the dye is dissolved plays an important role when defining potential hazards. Practically all the solvents used are flammable and toxic by inhalation and skin absorption, and therefore must be controlled properly.
Gómez Huelgas, Ricardo
Most patients with type 2 diabetes have excess adiposity. There is wide consensus that adequate treatment of type 2 diabetes requires a simultaneous approach to overweight/obesity and the remaining cardiovascular risk factors. Non-pharmacological interventions (diet, exercise) represent the cornerstone of the treatment of patients with type 2 diabetes. Weight loss through lifestyle modification has shown clear benefits in these patients, requiring an individualised and multidisciplinary approach with structured programmes endowed with specific resources. The weight gain associated with some antidiabetic drugs (secretagogues, glitazones, insulin) can hamper glycaemic control, compromising treatment adherence, worsening vascular risk profile, and limiting the benefits of treatment. Therefore, the current tendency is to adopt a weight-centred approach to the treatment of type 2 diabetes, giving priority to those antidiabetic drugs that have a neutral effect on weight or that favour weight loss (metformin, incretin therapies, sodium-glucose cotransporter-2 inhibitors). Metabolic surgery is an effective alternative for patients with type 2 diabetes and a BMI ≥35 kg/m2 and allows remission of diabetes in a large proportion of patients, especially if the disease is not very advanced. A consensus document supported by various Spanish scientific societies has recently been published. This document makes a series of specific recommendations on the diagnostic and therapeutic approach to patients with diabetes and obesity. Copyright © 2016 Elsevier España, S.L.U. All rights reserved.
Shchetinina Ludmila V.
Full Text Available The aim of the work is to identify current trends in impression management on the basis of sociological research and develop recommendations to managers, employees of personnel management services, social workers on peculiarities of impression management. The relevance of the article is in studying the strengthening desire of people to influence each other. Among the objectives of the influence the most common one is the desire to create a good impression on others. This point was chosen by 91 % of the respondents. However, the use of various impression management techniques is ambiguous in its consequences, and, therefore, can constitute significant risks for effective management and interpersonal interaction. At the present stage the conducted studies are mainly related to considering peculiarities of application of impression management techniques in narrow scientific and applied fields. The article proves the wide prevalence of the use of impression management techniques in the business sphere and informal environment, their high effectiveness and negative consequences of their application. Prospect for further research in this direction are development and implementation of practical systematic measures to overcome the negative consequences of using the tactics of impression management as well as improving their effectiveness.
Jaime Aparecido Cury
Full Text Available Toothpaste can be used as a vehicle for substances to improve the oral health of individuals and populations. Therefore, it should be recommended based on the best scientific evidence available, and not on the opinion of authorities or specialists. Fluoride is the most important therapeutic substance used in toothpastes, adding to the effect of mechanical toothbrushing on dental caries control. The use of fluoride toothpaste to reduce caries in children and adults is strongly based on evidence, and is dependent on the concentration (minimum of 1000 ppm F and frequency of fluoride toothpaste use (2'/day or higher. The risk of dental fluorosis due to toothpaste ingestion by children has been overestimated, since there is no evidence that: 1 fluoride toothpaste use should be postponed until the age of 3-4 or older, 2 low-fluoride toothpaste avoids fluorosis and 3 fluorosis has a detrimental effect on the quality of life of individuals exposed to fluoridated water and toothpaste. Among other therapeutic substances used in toothpastes, there is evidence that triclosan/copolymer reduce dental biofilm, gingivitis, periodontitis, calculus and halitosis, and that toothpastes containing stannous fluoride reduce biofilm and gingivitis.
Brodsky, Benjamin H [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Caskey, Susan Adele [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Arndt, William [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Rinderpest is a virus that can affect cattle and other even toes ungulates; evidence of outbreaks from over 10,000 years ago highlights the potential impact of this virus. During the 18th century, Rinderpest caused huge losses in cattle throughout Europe. Starting in the mid 1900’s vaccination efforts seemed feasible and work was initiated to vaccinate large populations of cattle. Walter Plowright received numerous awards for updating the Rinderpest vaccine which many believed would be the key to eradication. Vaccination of the disease lead to a massive drop in outbreaks and the last confirmed case of Rinderpest in Asia was in 2000 and in Africa in 2001.1 At this point, Rinderpest has been declared eradicated from nature. However, stocks of the virus are still in many laboratories.2 Rinderpest was investigated as a biological weapon agent during the Second World War. However, following WWII, rinderpest was not considered a high risk as a biological weapon as there was no direct military advantage. Now, with the concern of the use of biological agents as weapons in acts of terrorism, concern regarding rinderpest has resurfaced. Since the eradication of this virus, cattle populations are highly susceptibility to the virus and the economic impacts would be significant. This paper will discuss the specific nature of the terrorism risks associated with rinderpest; and based upon those risks provide recommendations regarding biosecurity management. The biosecurity management measures will be defined in a manner to align with the CWA 15793: the laboratory biorisk management document.
Full Text Available University program dropout is a problem that has important consequences not only for the student that leaves but also for the institution in which the withdrawal occurs. Therefore, higher education institutions must study the problem in greater depth to establish appropriate prevention measures in the future. However, most research papers currently focus primarily on the characteristics of students who leave university, rather than on those who choose to pursue alternative courses of study and therefore fail to take into account the different kinds of abandonment. The aim of this paper is to identify the different types of dropout to define their characteristics and propose some recommendations. Thus, an ex post facto study was carried out on a sample of 1,311 freshmen from a university in the north of Spain using data gathered using an ad-hoc designed questionnaire, applied by telephone or an online survey, and completed with data available in the university data warehouse. A descriptive analysis was performed to characterize the sample and identify five different groups, including 1. Students persisting in their initiated degree 2. Students who change of program (within the same university 3. Students transferring to a different university 4. Students enrolling in non-higher-education studies 5. Students that quit studying. Also, data mining techniques (decision trees were applied to classify the cases and generate predictive models to aid in the design of differentiated intervention strategies for each of the corresponding groups.
"Reproductive Health and Rights: The Present Situation in Japan" was the topic of a study meeting of the Council on Population Education held in preparation for the International Conference on Population and Development (ICPD) Plus Five. In keeping with the themes of the Cairo ICPD and the Beijing conference, Japan's Prime Minister's office has prepared a Plan of Action for Gender Equality by the Year 2000. A maternal-child health care perspective has been supplanted by a broader life-cycle approach to women's reproductive health. Since Cairo, the number of nongovernmental organizations, in Japan, involved with issues such as sexually transmitted diseases, abortion, and violence against women, has grown considerably. There is concern with increasing Japanese women's contraceptive choices to include the low-dose pill, more types of IUDs, and female condoms. Further training for medical staff on informed consent and a woman's right to self-determination has been recommended. Repeal of the Criminal Abortion Law and coverage of abortion and contraception under national health insurance are also urged.
Recommended Documentation for Computer Users at ANL is for all users of the services available from the Argonne National Laboratory (ANL) Computing and Telecommunications Division (CTD). This document will guide you in selecting available documentation that will best fill your particular needs. Chapter 1 explains how to use this document to select documents and how to obtain them from the CTD Document Distribution Counter. Chapter 2 contains a table that categorizes available publications. Chapter 3 gives descriptions of the online DOCUMENT command for CMS, and VAX, and the Sun workstation. DOCUMENT allows you to scan for and order documentation that interests you. Chapter 4 lists publications by subject. Categories I and IX cover publications of a general nature and publications on telecommunications and networks respectively. Categories II, III, IV, V, VI, VII, VIII, and X cover publications on specific computer systems. Category XI covers publications on advanced scientific computing at Argonne. Chapter 5 contains abstracts for each publication, all arranged alphabetically. Chapter 6 describes additional publications containing bibliographies and master indexes that the user may find useful. The appendix identifies available computer systems, applications, languages, and libraries.
Dawidczyk, Charlene M; Russell, Luisa M; Searson, Peter C
Nanoparticle-based delivery systems provide new opportunities to overcome the limitations associated with traditional small-molecule drug therapy for cancer and to achieve both therapeutic and diagnostic functions in the same platform. Preclinical trials are generally designed to assess therapeutic potential and not to optimize the design of the delivery platform. Consequently, progress in developing design rules for cancer nanomedicines has been slow, hindering progress in the field. Despite the large number of preclinical trials, several factors restrict comparison and benchmarking of different platforms, including variability in experimental design, reporting of results, and the lack of quantitative data. To solve this problem, we review the variables involved in the design of preclinical trials and propose a protocol for benchmarking that we recommend be included in in vivo preclinical studies of drug-delivery platforms for cancer therapy. This strategy will contribute to building the scientific knowledge base that enables development of design rules and accelerates the translation of new technologies. ©2015 American Association for Cancer Research.
Knowles, C H; Grossi, U; Horrocks, E J; Pares, D; Vollebregt, P F; Chapman, M; Brown, S; Mercer-Jones, M; Williams, A B; Yiannakou, Y; Hooper, R J; Stevens, N; Mason, J
This manuscript forms the final of seven that address the surgical management of chronic constipation (CC) in adults. The content coalesces results from the five systematic reviews that precede it and of the European Consensus process to derive graded practice recommendations (GPR). Summary of review data, development of GPR and future research recommendations as outlined in detail in the 'introduction and methods' paper. The overall quality of data in the five reviews was poor with 113/156(72.4%) of included studies providing only level IV evidence and only four included level I RCTs. Coalescence of data from the five procedural classes revealed that few firm conclusions could be drawn regarding procedural choice or patient selection: no single procedure dominated in addressing dynamic structural abnormalities of the anorectum and pelvic floor with each having similar overall efficacy. Of one hundred 'prototype' GPRs developed by the clinical guideline group, 85/100 were deemed 'appropriate' based on the independent scoring of a panel of 18 European experts and use of RAND-UCLA consensus methodology. The remaining 15 were all deemed uncertain. Future research recommendations included some potential RCTs but also a strong emphasis on delivery of large multinational high-quality prospective cohort studies. While the evidence base for surgery in CC is poor, the widespread European consensus for GPRs is encouraging. Professional bodies have the opportunity to build on this work by supporting the efforts of their membership to help convert the documented recommendations into clinical guidelines. © 2017 The Authors. Colorectal Disease published by John Wiley & Sons Ltd on behalf of Association of Coloproctology of Great Britain and Ireland.
Beaty, D. W.; McSween, H. Y.; Czaja, A. D.; Goreva, Y. S.; Hausrath, E.; Herd, C. D. K.; Humayun, M.; McCubbin, F. M.; McLennan, S. M.; Hays, L. E.
The Returned Sample Science Board (RSSB) was established in 2015 by NASA to provide expertise from the planetary sample community to the Mars 2020 Project. The RSSB's first task was to address the effect of heating during acquisition and storage of samples on scientific investigations that could be expected to be conducted if the samples are returned to Earth. Sample heating may cause changes that could ad-versely affect scientific investigations. Previous studies of temperature requirements for returned mar-tian samples fall within a wide range (-73 to 50 degrees Centigrade) and, for mission concepts that have a life detection component, the recommended threshold was less than or equal to -20 degrees Centigrade. The RSSB was asked by the Mars 2020 project to determine whether or not a temperature requirement was needed within the range of 30 to 70 degrees Centigrade. There are eight expected temperature regimes to which the samples could be exposed, from the moment that they are drilled until they are placed into a temperature-controlled environment on Earth. Two of those - heating during sample acquisition (drilling) and heating while cached on the Martian surface - potentially subject samples to the highest temperatures. The RSSB focused on the upper temperature limit that Mars samples should be allowed to reach. We considered 11 scientific investigations where thermal excursions may have an adverse effect on the science outcome. Those are: (T-1) organic geochemistry, (T-2) stable isotope geochemistry, (T-3) prevention of mineral hydration/dehydration and phase transformation, (T-4) retention of water, (T-5) characterization of amorphous materials, (T-6) putative Martian organisms, (T-7) oxidation/reduction reactions, (T-8) (sup 4) He thermochronometry, (T-9) radiometric dating using fission, cosmic-ray or solar-flare tracks, (T-10) analyses of trapped gasses, and (T-11) magnetic studies.
Casas Maldonado, F; Alfageme Michavila, I; Barchilón Cohen, V S; Peis Redondo, J I; Vargas Ortega, D A
Community-acquired pneumonia is an acute respiratory infectious disease which has an incidence of 3-8 cases/1,000 inhabitants, and increases with age and comorbidities. The pneumococcus is the organism most frequently involved in community-acquired pneumonia in the adult (30-35%). Around 40% of patients with community-acquired pneumonia require hospital admission, and around 10% need to be admitted to an intensive care unit. The most serious forms of pneumococcal infection include invasive pneumococcal disease (IPD), which covers cases of bacteremia (associated or not to pneumonia), meningitis, pleuritis, arthritis, primary peritonitis and pericarditis. Currently, the biggest problem with the pneumococcus is the emergence of resistance to antimicrobial agents, and its high morbimortality, despite the use of appropriate antibiotics and proper medical treatment. Certain underlying medical conditions increase the risk of IPD and its complications, especially, from the respiratory diseases point of view, smoking and chronic respiratory diseases. Pneumococcal disease, according to the WHO, is the first preventable cause of death worldwide in children and adults. Among the strategies to prevent IPD is vaccination. WHO considers that its universal introduction and implementation against pneumococcus is essential and a priority in all countries. There are currently 2 pneumococcal vaccines for adults: the 23 serotypes polysaccharide and conjugate 13 serotypes. The scientific societies represented here have worked to develop some recommendations, based on the current scientific evidence, regarding the pneumococcal vaccination in the immunocompetent adult with chronic respiratory disease and smokers at risk of suffering from IPD. Copyright © 2014 Sociedad Española de Médicos de Atención Primaria (SEMERGEN). Publicado por Elsevier España. All rights reserved.
Full Text Available The first treatment of chronic myeloid leukemia (CML included spleen x-radiation and conventional drugs, mainly Busulfan and Hydroxyurea. This therapy improved the quality of life during the chronic phase of the disease, without preventing nor significantly delaying the progression towards advanced phases. The introduction of allogeneic stem cell transplantation (alloSCT marked the first important breakthrough in the evolution of CML treatment, because about 50% of the eligible patients were cured. The second breakthrough was the introduction of human recombinant interferon-alfa, able to achieve a complete cytogenetic remission in 15% to 30% of patients, with a significant survival advantage over conventional chemotherapy. At the end of the last century, about 15 years ago, all these treatments were quickly replaced by a class of small molecules targeting the tyrosine kinases (TK, which were able to induce a major molecular remission in most of the patients, without remarkable side effects, and a very prolonged life-span. The first approved TK inhibitor (TKI was Imatinib Mesylate (Glivec or Gleevec, Novartis. Rapidly, other TKIs were developed tested and commercialized, namely Dasatinib (Sprycel, Bristol-Myers Squibb, Nilotinib (Tasigna, Novartis, Bosutinib (Busulif, Pfizer and Ponatinib (Iclusig, Ariad. Not all these compounds are available worldwide; some of them are approved only for second line treatment, and the high prices are a problem that can limit their use. A frequent update of treatment recommendations is necessary. The current treatment goals include not only the prevention of the transformation to the advanced phases and the prolongation of survival, but also a length of survival and of a quality of life comparable to that of non-leukemic individuals. In some patient the next ambitious step is to move towards a treatment-free remission. The CML therapy, the role of alloSCT and the promising experimental strategies are reviewed in
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)
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.
Rivasseau-Jonveaux, Thérèse; Pop, Alina; Fescharek, Reinhard; Chuzeville, Stanislas Bah; Jacob, Christel; Demarche, Laëtitia; Soulon, Laure; Malerba, Gabriel
The French Alzheimer plan anticipates new specialized structures for cognitive rehabilitation and psycho-behavioural therapy of Alzheimer's patients: the cognitive-behavioural units as follow-care units, the units of reinforced hospitalization inside the long term care units and the adapted activities units. this plan indicates the need to make healing gardens integral parts of these units. The benefits of green space in urban environments has been demonstrated with regards to physical, psychological and sociological effects and similarly studies in hospitals have revealed objective and measurable improvements of patients well being. Although green spaces and gardens are available in many French care units, they are rarely specifically adapted to the needs of Alzheimer's patients. For the garden "art, memory and life" a specific concept guided by a neuropsychological approach was developed, complemented by an artistic vision based on cultural invariants. It is already used in the frame of non-pharmacological therapies to improve symptoms such as deambulation, sleep disorders, apathy and aggressive behaviors. Based on the literature, and our experience and research, recommendations for the design of such gardens dedicated to Alzheimer's patients can be proposed. Beyond taking into account obvious aspects relating to security, allowing for free access, a careful design of walk-ways and a conscious choice of plants is needed. A systematic analysis of the existing green spaces or garden must be conducted in order to pinpoint the weakness of the space and identify the potential for developing it into a real healing garden. Evaluation of adapted questionnaires for users and professionals allow to establish a list of requirements combining both user requests and therapeutic needs as basis for the design of the garden as well as to evaluate during the course of the project, whether the needs of the various stakeholders have been met or if adjustments are necessary.
Zeng, An; Yeung, Chi Ho; Medo, Matúš; Zhang, Yi-Cheng
Recommender systems daily influence our decisions on the Internet. While considerable attention has been given to issues such as recommendation accuracy and user privacy, the long-term mutual feedback between a recommender system and the decisions of its users has been neglected so far. We propose here a model of network evolution which allows us to study the complex dynamics induced by this feedback, including the hysteresis effect which is typical for systems with non-linear dynamics. Despite the popular belief that recommendation helps users to discover new things, we find that the long-term use of recommendation can contribute to the rise of extremely popular items and thus ultimately narrow the user choice. These results are supported by measurements of the time evolution of item popularity inequality in real systems. We show that this adverse effect of recommendation can be tamed by sacrificing part of short-term recommendation accuracy.
Gilkey, Melissa B.; Calo, William A.; Moss, Jennifer L.; Shah, Parth D.; Marciniak, Macary W.; Brewer, Noel T.
Background Receiving a healthcare provider’s recommendation is a strong predictor of HPV vaccination, but little is known empirically about which types of recommendation are most influential. Thus, we sought to investigate the relationship between recommendation quality and HPV vaccination among U.S. adolescents. Methods In 2014, we conducted a national, online survey of 1,495 parents of 11- to 17-year-old adolescents. Parents reported whether providers endorsed HPV vaccination strongly, encouraged same-day vaccination, and discussed cancer prevention. Using an index of these quality indicators, we categorized parents as having received no, low-quality, or high-quality recommendations for HPV vaccination. Separate multivariable logistic regression models assessed associations between recommendation quality and HPV vaccine initiation (≥1 dose), follow through (3 doses, among initiators), refusal, and delay. Results Almost half (48%) of parents reported no provider recommendation for HPV vaccination, while 16% received low-quality recommendations and 36% received high-quality recommendations. Compared to no recommendation, high-quality recommendations were associated with over nine times the odds of HPV vaccine initiation (23% vs. 74%, OR=9.31, 95% CI, 7.10–12.22) and over three times the odds of follow through (17% vs. 44%, OR=3.82, 95% CI, 2.39–6.11). Low-quality recommendations were more modestly associated with initiation (OR=4.13, 95% CI, 2.99–5.70), but not follow through. Parents who received high-versus low-quality recommendations less often reported HPV vaccine refusal or delay. Conclusions High-quality recommendations were strongly associated with HPV vaccination behavior, but only about one-third of parents received them. Interventions are needed to improve not only whether, but how providers recommend HPV vaccination for adolescents. PMID:26812078
IVEM, Centre for Energy and Environmental Studies
This research aims to define the main reasons for success of the Dutch HFC emission reduction system, called the STEK regulation. Besides that recommendations are formulated to successfully implement similar regulations in other European countries. This
The report strongly recommends that, with the end of the Cold War, safety and health at DOE facilities should be regulated by outside agencies rather than by DOE itself. The three major recommendations are: under any regulatory scheme, DOE must maintain a strong internal safety management system; essentially all aspects of safety at DOE`s nuclear facilities should be externally regulated; and existing agencies rather than a new one should be responsible for external regulation.
María Saquero Martínez
following technical conclusions and recommendations.This document, which is intended to be practical and operational, has been reviewed and agreed by all speakers and by the Scientific Committee of the Conference, and is written in the key of pending tasks to be addressed by both public authorities and companies in the sector and holders hazard installations.
Thronson, Harley A.; Carberry, Christopher
A human mission to Mars is the stated "ultimate" goal for NASA and is widely believed by the public to be the most compelling destination for America's space program. However, widely cited enormous costs - perhaps as much as a trillion dollars for a many-decade campaign - seem to be an impossible hurdle, although political and budget instability over many years may be equally challenging. More recently, a handful of increasingly detailed architectures for initial Mars missions have been developed by commercial companies that have estimated costs much less than widely believed and roughly comparable with previous major human space flight programs: the Apollo Program, the International Space Station, and the space shuttle. Several of these studies are listed in the bibliography to the workshop report. As a consequence of these new scenarios, beginning in spring, 2013 a multiinstitutional planning team began developing the content and invitee list for a winter workshop that would critically assess concepts, initiatives, technology priorities, and programmatic options to reduce significantly the costs of human exploration of Mars. The output of the workshop - findings and recommendations - would be presented in a number of forums and discussed with national leaders in human space flight. It would also be made available to potential international partners. This workshop was planned from the start to be the first in a series. Subsequent meetings, conferences, and symposia will concentrate on topics not able to be covered in December. In addition, to make progress in short meeting, a handful of ground rules were adopted by the planning team and agreed to by the participants. Perhaps the two most notable such ground rules were (1) the Space Launch System (SLS) and Orion would be available during the time frame considered by the participants and (2) the International Space Station (ISS) would remain the early linchpin in preparing for Mars exploration over the coming decade
Sports nutrition is a constantly evolving field with hundreds of research papers published annually. For this reason, keeping up to date with the literature is often difficult. This paper is a five year update of the sports nutrition review article published as the lead paper to launch the JISSN in 2004 and presents a well-referenced overview of the current state of the science related to how to optimize training and athletic performance through nutrition. More specifically, this paper provides an overview of: 1.) The definitional category of ergogenic aids and dietary supplements; 2.) How dietary supplements are legally regulated; 3.) How to evaluate the scientific merit of nutritional supplements; 4.) General nutritional strategies to optimize performance and enhance recovery; and, 5.) An overview of our current understanding of the ergogenic value of nutrition and dietary supplementation in regards to weight gain, weight loss, and performance enhancement. Our hope is that ISSN members and individuals interested in sports nutrition find this review useful in their daily practice and consultation with their clients. PMID:20181066
Full Text Available Abstract Sports nutrition is a constantly evolving field with hundreds of research papers published annually. For this reason, keeping up to date with the literature is often difficult. This paper is a five year update of the sports nutrition review article published as the lead paper to launch the JISSN in 2004 and presents a well-referenced overview of the current state of the science related to how to optimize training and athletic performance through nutrition. More specifically, this paper provides an overview of: 1. The definitional category of ergogenic aids and dietary supplements; 2. How dietary supplements are legally regulated; 3. How to evaluate the scientific merit of nutritional supplements; 4. General nutritional strategies to optimize performance and enhance recovery; and, 5. An overview of our current understanding of the ergogenic value of nutrition and dietary supplementation in regards to weight gain, weight loss, and performance enhancement. Our hope is that ISSN members and individuals interested in sports nutrition find this review useful in their daily practice and consultation with their clients.
The history of medical device regulation began with the need to rid the marketplace of bogus inventions which were either harmful in themselves or harmful because they delayed meaningful treatment of illness. Since World War II, sophistication in medical technology and development of electronic and other types of medical devices has created a new need for regulation of safety and performance of devices used to cure and mitigate disease in man. The 1938 amendments to the Food, Drug, and Cosmetic Act gave FDA authority over labeling and advertising of devices, enforceable only after devices were marketed. In 1969 a study by an HEW commission documented the need for further legislation. The commission recommended three categories of medical devices: those requiring premarket clearance or scientific review, those for which standards could be established to protect the public, and those which are generally recognized as safe and for which nor standards would be necessary. In 1974 the Senate unanimously approved Senator Kennedy's "Medical Device Amendments of 1973" legislation which fulfills the recommendations of the HEW commission report. The House of Representatives failed to pass their version of the legislation in the 93rd Congress. Senator Kennedy re-introduced the bill in the 94th Congress and it passed the Senate in April 1975. Representative Rogers re-introduced an amended bill. The bill is expected to become law in 1975.
Lamprecht, Daniel; Strohmaier, Markus; Helic, Denis
Recommendations are increasingly used to support and enable discovery, browsing, and exploration of items. This is especially true for entertainment platforms such as Netflix or YouTube, where frequently, no clear categorization of items exists. Yet, the suitability of a recommendation algorithm to support these use cases cannot be comprehensively evaluated by any recommendation evaluation measures proposed so far. In this paper, we propose a method to expand the repertoire of existing recommendation evaluation techniques with a method to evaluate the discoverability and navigability of recommendation algorithms. The proposed method tackles this by means of first evaluating the discoverability of recommendation algorithms by investigating structural properties of the resulting recommender systems in terms of bow tie structure, and path lengths. Second, the method evaluates navigability by simulating three different models of information seeking scenarios and measuring the success rates. We show the feasibility of our method by applying it to four non-personalized recommendation algorithms on three data sets and also illustrate its applicability to personalized algorithms. Our work expands the arsenal of evaluation techniques for recommendation algorithms, extends from a one-click-based evaluation towards multi-click analysis, and presents a general, comprehensive method to evaluating navigability of arbitrary recommendation algorithms.
Full Text Available Background. Several international groups develop asthma guidelines. Conflicting recommendations across guidelines have been described in several disease areas and may contribute to practice variability. Accordingly, we compared the latest Canadian Thoracic Society (CTS asthma guideline with contemporaneous international asthma guidelines to evaluate conflicting recommendations and their causes. Methods. We identified the latest CTS asthma guideline update (2012 and the following societies which also updated their guidelines in 2012: the British Thoracic Society and Scottish Intercollegiate Guidelines Network and the Global Initiative for Asthma. We compared these three guidelines on (1 key methodological factors and (2 adult pharmacotherapy recommendations. Results. Methods used and documentation provided for literature search strategy and dates, evidence synthesis, outcomes considered, evidence appraisal, and recommendation formulation varied between guidelines. Criteria used to define suboptimal asthma control varied widely between guidelines. Inhaled corticosteroid dosing recommendations diverged, as did recommendations surrounding use of budesonide/formoterol as a reliever and controller and recommendations in the subsequent step. Conclusions. There are important differences between recommendations provided in contemporaneous asthma guidelines. Causes include differences in methods used for interpreting evidence and formulating recommendations. Adopting a common set of valid and explicit methods across international societies could harmonize recommendations and facilitate guideline implementation.
Hou, Lei; Liu, Kecheng; Liu, Jianguo; Zhang, Runtong
Recommender systems are of great significance in predicting the potential interesting items based on the target user's historical selections. However, the recommendation list for a specific user has been found changing vastly when the system changes, due to the unstable quantification of item similarities, which is defined as the recommendation stability problem. To improve the similarity stability and recommendation stability is crucial for the user experience enhancement and the better understanding of user interests. While the stability as well as accuracy of recommendation could be guaranteed by recommending only popular items, studies have been addressing the necessity of diversity which requires the system to recommend unpopular items. By ranking the similarities in terms of stability and considering only the most stable ones, we present a top- n-stability method based on the Heat Conduction algorithm (denoted as TNS-HC henceforth) for solving the stability-accuracy-diversity dilemma. Experiments on four benchmark data sets indicate that the TNS-HC algorithm could significantly improve the recommendation stability and accuracy simultaneously and still retain the high-diversity nature of the Heat Conduction algorithm. Furthermore, we compare the performance of the TNS-HC algorithm with a number of benchmark recommendation algorithms. The result suggests that the TNS-HC algorithm is more efficient in solving the stability-accuracy-diversity triple dilemma of recommender systems.
Gupta, Samir; Paolucci, Emily; Kaplan, Alan; Boulet, Louis-Philippe
Background. Several international groups develop asthma guidelines. Conflicting recommendations across guidelines have been described in several disease areas and may contribute to practice variability. Accordingly, we compared the latest Canadian Thoracic Society (CTS) asthma guideline with contemporaneous international asthma guidelines to evaluate conflicting recommendations and their causes. Methods. We identified the latest CTS asthma guideline update (2012) and the following societies which also updated their guidelines in 2012: the British Thoracic Society and Scottish Intercollegiate Guidelines Network and the Global Initiative for Asthma. We compared these three guidelines on (1) key methodological factors and (2) adult pharmacotherapy recommendations. Results. Methods used and documentation provided for literature search strategy and dates, evidence synthesis, outcomes considered, evidence appraisal, and recommendation formulation varied between guidelines. Criteria used to define suboptimal asthma control varied widely between guidelines. Inhaled corticosteroid dosing recommendations diverged, as did recommendations surrounding use of budesonide/formoterol as a reliever and controller and recommendations in the subsequent step. Conclusions. There are important differences between recommendations provided in contemporaneous asthma guidelines. Causes include differences in methods used for interpreting evidence and formulating recommendations. Adopting a common set of valid and explicit methods across international societies could harmonize recommendations and facilitate guideline implementation.
Full Text Available With the rapid development of e-commerce, the contradiction between the disorder of business information and customer demand is increasingly prominent. This study aims to make e-commerce shopping more convenient, and avoid information overload, by an interactive personalized recommendation system using the hybrid algorithm model. The proposed model first uses various recommendation algorithms to get a list of original recommendation results. Combined with the customer’s feedback in an interactive manner, it then establishes the weights of corresponding recommendation algorithms. Finally, the synthetic formula of evidence theory is used to fuse the original results to obtain the final recommendation products. The recommendation performance of the proposed method is compared with that of traditional methods. The results of the experimental study through a Taobao online dress shop clearly show that the proposed method increases the efficiency of data mining in the consumer coverage, the consumer discovery accuracy and the recommendation recall. The hybrid recommendation algorithm complements the advantages of the existing recommendation algorithms in data mining. The interactive assigned-weight method meets consumer demand better and solves the problem of information overload. Meanwhile, our study offers important implications for e-commerce platform providers regarding the design of product recommendation systems.
Full Text Available One of the most crucial issues, nowadays, is to provide personalized services to each individual based on their preferences. To achieve this goal, recommender system could be utilized as a tool to help the users in decision-making process offering different items and options. They are utilized to predict and recommend relevant items to end users. In this case an item could be anything such as a document, a location, a movie, an article or even a user (friend suggestion. The main objective of the recommender systems is to suggest items which have great potential to be liked by users. In modern recommender systems, various methods are combined together with the aim of extracting patterns in available datasets. Combination of different algorithms make prediction more convoluted since various parameters should be taken into account in providing recommendations. Recommendations could be personalized or non-personalized. In non-personalized type, selection of the items for a user is based on the number of the times that an item has been visited in the past by other users. However, in the personalized type, the main objective is to provide the best items to the user based on her taste and preferences. Although, in many domains recommender systems gained significant improvements and provide better services for users, it still requires further research to improve accuracy of recommendations in many aspects. In fact, the current available recommender systems are far from the ideal model of the recommender system. This paper reviews state of art in recommender systems algorithms and techniques which is necessary to identify the gaps and improvement areas. In addition to that, we provide possible solutions to overcome shortages and known issues of recommender systems as well as discussing about recommender systems evaluation methods and metrics in details.
Lorell, Beverly H; Mikita, J Stephen; Anderson, Annick; Hallinan, Zachary P; Forrest, Annemarie
Informed consent is the cornerstone for protection of human subjects in clinical trials. However, a growing body of evidence suggests that reform of the informed consent process in the United States is needed. The Clinical Trials Transformation Initiative conducted interviews with 25 experienced observers of the informed consent process to identify limitations and actionable recommendations for change. There was broad consensus that current practices often fail to meet the ethical obligation to inform potential research participants during the informed consent process. The most frequent single recommendation, which would affect all participants in federally regulated clinical research, was reform of the informed consent document. The interviews also identified the need for reform of clinical research review by institutional review boards, including transitioning to a single institutional review board for multi-site trials. The consensus recommendations from the interviewees provide a framework for meaningful change in the informed consent process. Although some proposed changes are feasible for rapid implementation, others such as substantive reform of the informed consent document may require change in federal regulations. © The Author(s) 2015.
De Wert, Guido; Heindryckx, Björn; Pennings, Guido; Clarke, Angus; Eichenlaub-Ritter, Ursula; van El, Carla G; Forzano, Francesca; Goddijn, Mariëtte; Howard, Heidi C; Radojkovic, Dragica; Rial-Sebbag, Emmanuelle; Dondorp, Wybo; Tarlatzis, Basil C; Cornel, Martina C
Technological developments in gene editing raise high expectations for clinical applications, including editing of the germline. The European Society of Human Reproduction and Embryology (ESHRE) and the European Society of Human Genetics (ESHG) together developed a Background document and Recommendations to inform and stimulate ongoing societal debates. This document provides the background to the Recommendations. Germline gene editing is currently not allowed in many countries. This makes clinical applications in these countries impossible now, even if germline gene editing would become safe and effective. What were the arguments behind this legislation, and are they still convincing? If a technique could help to avoid serious genetic disorders, in a safe and effective way, would this be a reason to reconsider earlier standpoints? This Background document summarizes the scientific developments and expectations regarding germline gene editing, legal regulations at the European level, and ethics for three different settings (basic research, preclinical research and clinical applications). In ethical terms, we argue that the deontological objections (e.g., gene editing goes against nature) do not seem convincing while consequentialist objections (e.g., safety for the children thus conceived and following generations) require research, not all of which is allowed in the current legal situation in European countries. Development of this Background document and Recommendations reflects the responsibility to help society understand and debate the full range of possible implications of the new technologies, and to contribute to regulations that are adapted to the dynamics of the field while taking account of ethical considerations and societal concerns.
Nelson, Michael L.; Bollen, Johan; Calhoun, JoAnne R.; Mackey, Calvin E.
We present the user evaluation of two recommendation server methodologies implemented for the NASA Technical Report Server (NTRS). One methodology for generating recommendations uses log analysis to identify co-retrieval events on full-text documents. For comparison, we used the Vector Space Model (VSM) as the second methodology. We calculated cosine similarities and used the top 10 most similar documents (based on metadata) as recommendations . We then ran an experiment with NASA Langley Research Center (LaRC) staff members to gather their feedback on which method produced the most quality recommendations. We found that in most cases VSM outperformed log analysis of co-retrievals. However, analyzing the data revealed the evaluations may have been structurally biased in favor of the VSM generated recommendations. We explore some possible methods for combining log analysis and VSM generated recommendations and suggest areas of future work.
Knox, E.; Slothouber, L.
On February 14, 2002, U.S. Secretary of Energy Spencer Abraham provided to the President the ''Recommendation by the Secretary of Energy Regarding the Suitability of the Yucca Mountain Site for a Repository Under the Nuclear Waste Policy Act of 1982.'' This Recommendation, along with supporting materials, complied with statutory requirements for communicating a site recommendation to the President, and it did more: in 49 pages, the Recommendation also spoke directly to the Nation, illuminating the methodology and considerations that led toward the decision to recommend the site. Addressing technical suitability, national interests, and public concerns, the Recommendation helped the public understand the potential risks and benefits of repository development and placed those risks and benefits in a meaningful national context.
Zhang, Baofu; Yuan, Baoping
The Collaborative filtering recommendation algorithm is one of the most widely used recommendation algorithm in personalized recommender systems. The key is to find the nearest neighbor set of the active user by using similarity measure. However, the methods of traditional similarity measure mainly focus on the similarity of user common rating items, but ignore the relationship between the user common rating items and all items the user rates. And because rating matrix is very sparse, traditional collaborative filtering recommendation algorithm is not high efficiency. In order to obtain better accuracy, based on the consideration of common preference between users, the difference of rating scale and score of common items, this paper presents an improved similarity measure method, and based on this method, a collaborative filtering recommendation algorithm based on similarity improvement is proposed. Experimental results show that the algorithm can effectively improve the quality of recommendation, thus alleviate the impact of data sparseness.
We, as water resource professionals, are faced with a truly monumental challenge - that is feeding the world's growing population and ensuring it has an adequate supply of clean water. As researchers and educators it is good for us to regularly remember that our research and outreach efforts are critical to people around the world, many of whom are desperate for solutions to water quality and supply problems and their impacts on food supply, land management, and ecosystem protection. In this presentation, recommendations for successful applied research on agricultural impacts on water resources will be provided. The benefits of building multidisciplinary teams will be illustrated with examples related to the development and world-wide application of the ALMANAC, SWAT, and EPIC/APEX models. The value of non-traditional partnerships will be shown by the Soil Health Partnership, a coalition of agricultural producers, chemical and seed companies, and environmental advocacy groups. The results of empowering decision-makers with useful data will be illustrated with examples related to bacteria source and transport data and the MANAGE database, which contains runoff nitrogen and phosphorus data for cultivated, pasture, and forest land uses. The benefits of focusing on sustainable solutions will be shown through examples of soil testing, fertilizers application, on-farm profit analysis, and soil health assessment. And the value of welcoming criticism will be illustrated by the development of a framework to estimate and publish uncertainty in measured discharge and water quality data. The good news for researchers is that the agricultural industry is faced with profitability concerns and the need to wisely utilize soil and water resources, and simultaneously state and federal agencies crave sound-science to improve decision making, policy, and regulation. Thus, the audience for and beneficiaries of agricultural research are ready and hungry for applied research results.
Guideline for the assessment of radioactive substances in drinking water in the frame of the implementation of the drinking water regulation. Recommendation by BMUB, BfS, UBA and the responsible state authorities and DVGW and BDFW; Leitfaden zur Untersuchung und Bewertung von radioaktiven Stoffen im Trinkwasser bei der Umsetzung der Trinkwasserverordnung. Empfehlung von BMUB, BMG, BfS, UBA und den zustaendigen Landesbehoerden sowie DVGW und BDEW
The guidelines on the assessment of radioactive substances in drinking water cover the following issues: terms, symbols and units concerning radioactivity, radioactivity in the drinking water and radiation exposure, requirements for drinking water with respect to radioactive substances, fundamentals of the assessment concept according to the drinking water regulation, practical application of the assessment concept, analytical determination of radioactivity related parameters.
O'Neill, Thomas R; Tannenbaum, Richard J; Tiffen, Jennifer
When nurses who are educated internationally immigrate to the United States, they are expected to have English language proficiency in order to function as a competent nurse. The purpose of this research was to provide sufficient information to the National Council of State Boards of Nursing (NCSBN) to make a defensible recommended passing standard for English proficiency. This standard was based upon the Test of English as a Foreign Language (TOEFL). A large panel of nurses and nurse regulators (N = 25) was convened to determine how much English proficiency is required to be minimally competent as an entry-level nurse. Two standard setting procedures, the Simulated Minimally Competent Candidate (SMCC) procedure and the Examinee Paper Selection Method, were combined to produce recommendations for each panelist. In conjunction with collateral information, these recommendations were reviewed by the NCSBN Examination Committee, which decided upon an NCSBN recommended standard, a TOEFL score of 220. Because the adoption of this standard rests entirely with the individual state, NCSBN has little more to do with implementing the standard, other than answering questions and providing documentation about the standard.
Kotkov, Denis; Veijalainen, Jari; Wang, Shuaiqiang
Most recommender systems suggest items to a user that are popular among all users and similar to items the user usually consumes. As a result, a user receives recommendations that she/he is already familiar with or would find anyway, leading to low satisfaction. To overcome this problem, a recommender system should suggest novel, relevant and unexpected, i.e. serendipitous items. In this paper, we propose a serendipity-oriented algorithm, which improves serendipity through feature diversifica...
Beel, Joeran; Gipp, Bela; Langer, Stefan; Breitinger, Corinna
In the last 16 years, more than 200 research articles were published about research-paper recommender systems. We reviewed these articles and present some descriptive statistics in this paper, as well as a discussion about the major advancements and shortcomings and an overview of the most common recommendation concepts and approaches. We found that more than half of the recommendation approaches applied content-based filtering (55 %). Collaborative filtering was applied by only 18 % of the r...
Full Text Available The International Union of Biochemistry (IUB, now IUBMB prepared recommendations for describing the kinetic behaviour of enzymes in 1981. Despite the more than 30 years that have passed since these have not subsequently been revised, though in various respects they do not adequately cover current needs. The IUBMB is also responsible for recommendations on the naming and classification of enzymes. In contrast to the case of kinetics, these recommendations are kept continuously up to date.
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.
Recommender systems have become extremely common in recent years, and are applied in a variety of applications. They help businesses increase their sales and customer satisfaction. More and more computing applications including recommender systems, are being deployed as cloud computing services. This papers presents some of the most common recommendation applications and solutions which follow SaaS, PaaS or other cloud computing service models. They are provided both from academia and busines...
Hannon, John; McCarthy, Kevin; Smyth, Barry
This paper examines an application for finding pertinent friends (followees) on Twitter. Whilst Twitter provides a great basis for receiving information, we believe a potential downfall lies in the lack of an effective way in which users of Twitter can find other Twitter users to follow. We apply several recommendation techniques to build a followee recommender for Twitter. We evaluate a variety of different recommendation strategies, using real-user data, to demonstrate the potential for thi...
Starin, Scott; Shea, Cutter
There has been an unfortunate lack of standardization of the terms and components of stepper motor performance, requirements definition, application of torque margin and implementation of test methods. This paper will address these inconsistencies and discuss in detail the implications of performance parameters, affects of load inertia, control electronics, operational resonances and recommended test methods. Additionally, this paper will recommend parameters for defining and specifying stepper motor actuators. A useful description of terms as well as consolidated equations and recommended requirements is included.
to provide recommended actions. Recommender systems have commonly been used to suggest items of interest to consumers. For example, Netflix uses a...recommender system 2 to suggest movies for users to watch. Netflix takes in information about what movies the user enjoys by asking them to rate movies...on a 1 to 5 scale and what types of movies the user enjoys based on genre. The exact algorithm implemented by Netflix is proprietary, but it is easy
Macfarlane, G J; Kronisch, C; Dean, L E
OBJECTIVE: The original European League Against Rheumatism recommendations for managing fibromyalgia assessed evidence up to 2005. The paucity of studies meant that most recommendations were 'expert opinion'. METHODS: A multidisciplinary group from 12 countries assessed evidence with a focus...... on systematic reviews and meta-analyses concerned with pharmacological/non-pharmacological management for fibromyalgia. A review, in May 2015, identified eligible publications and key outcomes assessed were pain, fatigue, sleep and daily functioning. The Grading of Recommendations Assessment, Development...
Meyer, Frank; Fessant, Françoise; Clérot, Fabrice; Gaussier, Eric
In this paper, we propose an approach to analyze the performance and the added value of automatic recommender systems in an industrial context. We show that recommender systems are multifaceted and can be organized around 4 structuring functions: help users to decide, help users to compare, help users to discover, help users to explore. A global off line protocol is then proposed to evaluate recommender systems. This protocol is based on the definition of appropriate evaluation measures for e...
Amolochitis, Emmanouil; Christou, Ioannis T.; Tan, Zheng-Hua
AMORE is a hybrid recommendation system that provides movie recommendations for a major triple-play services provider in Greece. Combined with our own implementations of several user-, item-, and content-based recommendation algorithms, AMORE significantly outperforms other state-of-the-art imple......-of-the-art implementations both in solution quality and response time. AMORE currently serves daily recommendation requests for all active subscribers of the provider's video-on-demand services and has contributed to an increase of rental profits and customer retention....
Gold, Garry E.; Cicuttini, Flavia; Crema, Michel D.; Eckstein, Felix; Guermazi, Ali; Kijowski, Richard; Link, Thomas M.; Maheu, Emmanuel; Martel-Pelletier, Johanne; Miller, Colin G.; Pelletier, Jean-Pierre; Peterfy, Charles G.; Potter, Hollis G.; Roemer, Frank W.; Hunter, David. J
Imaging of hip in osteoarthritis (OA) has seen considerable progress in the past decade, with the introduction of new techniques that may be more sensitive to structural disease changes. The purpose of this expert opinion, consensus driven recommendation is to provide detail on how to apply hip imaging in disease modifying clinical trials. It includes information on acquisition methods/ techniques (including guidance on positioning for radiography, sequence/protocol recommendations/ hardware for MRI); commonly encountered problems (including positioning, hardware and coil failures, artifacts associated with various MRI sequences); quality assurance/ control procedures; measurement methods; measurement performance (reliability, responsiveness, and validity); recommendations for trials; and research recommendations. PMID:25952344
Full Text Available Recommender systems are information filtering tools that aspire to predict the rating for users and items, predominantly from big data to recommend their likes. Movie recommendation systems provide a mechanism to assist users in classifying users with similar interests. This makes recommender systems essentially a central part of websites and e-commerce applications. This article focuses on the movie recommendation systems whose primary objective is to suggest a recommender system through data clustering and computational intelligence. In this research article, a novel recommender system has been discussed which makes use of k-means clustering by adopting cuckoo search optimization algorithm applied on the Movielens dataset. Our approach has been explained systematically, and the subsequent results have been discussed. It is also compared with existing approaches, and the results have been analyzed and interpreted. Evaluation metrics such as mean absolute error (MAE, standard deviation (SD, root mean square error (RMSE and t-value for the movie recommender system delivers better results as our approach offers lesser value of the mean absolute error, standard deviation, and root mean square error. The experiment results obtained on Movielens dataset stipulate that the proposed approach may provide high performance regarding reliability, efficiency and delivers accurate personalized movie recommendations when compared with existing methods. Our proposed system (K-mean Cuckoo has 0.68 MAE, which is superior to existing work (0.78 MAE  and also has improvement of our previous work (0.75 MAE .
Full Text Available World Health Organization (WHO estimates that the number of people with diabetes will grow 114% by 2030. It declares that patients themselves have more responsibility for controlling and the treatment of diabetes by being provided with updated knowledge about the disease and different aspects of available treatments, and diet therapy in particular. In this regard, diet recommendation systems would be helpful. They are techniques and tools which suggest the best diets according to patient’s health situation and preferences. Accordingly, this narrative review studied food recommendation systems and their features by focusing on nutrition and diabetic issues. Literature searches in Google scholar and Pubmed were conducted in February 2015. Records were limited to papers in English language; however, no limitations were applied for the published date. We recognized three common methods for food recommender system: collaborative filtering recommender system (CFRS, knowledge based recommender system (KBRS and context-aware recommender system (CARS. Also wellness recommender systems are a subfield of food recommender systems, which help users to find and adapt suitable personalized wellness treatments based on their individual needs. Food recommender systems often used artificial intelligence and semantic web techniques. Some used the combination of both techniques.
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.
Cruz-Herranz, Andrés; Balk, Lisanne J; Oberwahrenbrock, Timm
OBJECTIVE: To develop consensus recommendations for reporting of quantitative optical coherence tomography (OCT) study results. METHODS: A panel of experienced OCT researchers (including 11 neurologists, 2 ophthalmologists, and 2 neuroscientists) discussed requirements for performing and reporting...... quantitative analyses of retinal morphology and developed a list of initial recommendations based on experience and previous studies. The list of recommendations was subsequently revised during several meetings of the coordinating group. RESULTS: We provide a 9-point checklist encompassing aspects deemed...... relevant when reporting quantitative OCT studies. The areas covered are study protocol, acquisition device, acquisition settings, scanning protocol, funduscopic imaging, postacquisition data selection, postacquisition data analysis, recommended nomenclature, and statistical analysis. CONCLUSIONS...
Gell, Nancy M; Wadsworth, Danielle D
To identify factors that facilitate adherence to physical activity among employed women. Participants were 103 employed women (Mean 44.4 years ±11.8). Measures included physical activity by accelerometry, location by global positioning systems, and psychosocial constructs, perception of worksite policies and the built environment by questionnaire. Meeting physical activity recommendations was significantly associated with use of the built environment, self-regulation, perception of higher land-use mix diversity, and perception of lower infrastructure and safety for walking. Perception of worksite policies, self-efficacy, and social support were not associated with meeting recommendations. The findings provide evidence that working women's physical activity behavior is influenced by both psychosocial and environmental factors.
Isambert, Aurélie; Le Du, Dominique; Valéro, Marc; Guilhem, Marie-Thérèse; Rousse, Carole; Dieudonné, Arnaud; Blanchard, Vincent; Pierrat, Noëlle; Salvat, Cécile
The French regulations concerning the involvement of medical physicists in medical imaging procedures are relatively vague. In May 2013, the ASN and the SFPM issued recommendations regarding Medical Physics Personnel for Medical Imaging: Requirements, Conditions of Involvement and Staffing Levels. In these recommendations, the various areas of activity of medical physicists in radiology and nuclear medicine have been identified and described, and the time required to perform each task has been evaluated. Criteria for defining medical physics staffing levels are thus proposed. These criteria are defined according to the technical platform, the procedures and techniques practised on it, the number of patients treated and the number of persons in the medical and paramedical teams requiring periodic training. The result of this work is an aid available to each medical establishment to determine their own needs in terms of medical physics. © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please email: firstname.lastname@example.org.
Boyd, Michael A
For much of the 20th century, U.S. radiation protection policies were similar to those elsewhere in the world, in large part because the International Commission on Radiological Protection (ICRP) and the National Council on Radiation Protection and Measurements (NCRP) were closely aligned. In the 1970s, several U.S. regulations were released at about the same time as the 1977 recommendations from ICRP. The regulatory development process in the United States can be lengthy with ample opportunities for public involvement. While such deliberation is essential and beneficial, the rulemaking process does not lend itself to making frequent technical updates to rules. For this reason, many of the current radiation protection regulations in the United States are out of step with current recommendations of the ICRP and NCRP. The U.S. Nuclear Regulatory Commission and the U.S. Environmental Protection Agency are considering updates to important radiation protection regulations. These regulatory development actions could present the United States with an opportunity for incorporating the latest science into the U.S. system of radiation protection and provide for consideration of the latest recommendations of ICRP and NCRP. In particular, a revision of the recommendations in NCRP Report No. 116 (Limitation of Exposure to Ionizing Radiation) could provide U.S. agencies with useful advice to be considered in these rulemakings.
Sagasser, M.H.; Kramer, A.W.M.; Weel, C. van; Vleuten, C.P.M. van der
Self-regulated learning is essential for professional development and lifelong learning. As self-regulated learning has many inaccuracies, the need to support self-regulated learning has been recommended. Supervisors can provide such support. In a prior study trainees reported on the variation in
Gerbi, Bruce J; Antolak, John A; Deibel, F Christopher; Followill, David S; Herman, Michael G; Higgins, Patrick D; Huq, M Saiful; Mihailidis, Dimitris N; Yorke, Ellen D; Hogstrom, Kenneth R; Khan, Faiz M
The goal of Task Group 25 (TG-25) of the Radiation Therapy Committee of the American Association of.Physicists in Medicine (AAPM) was to provide a methodology and set of procedures for a medical physicist performing clinical electron beam dosimetry in the nominal energy range of 5-25 MeV. Specifically, the task group recommended procedures for acquiring basic information required for acceptance testing and treatment planning of new accelerators with therapeutic electron beams. Since the publication of the TG-25 report, significant advances have taken place in the field of electron beam dosimetry, the most significant being that primary standards laboratories around the world have shifted from calibration standards based on exposure or air kerma to standards based on absorbed dose to water. The AAPM has published a new calibration protocol, TG-51, for the calibration of high-energy photon and electron beams. The formalism and dosimetry procedures recommended in this protocol are based on the absorbed dose to water calibration coefficient of an ionization chamber at 60Co energy, N60Co(D,w), together with the theoretical beam quality conversion coefficient k(Q) for the determination of absorbed dose to water in high-energy photon and electron beams. Task Group 70 was charged to reassess and update the recommendations in TG-25 to bring them into alignment with report TG-51 and to recommend new methodologies and procedures that would allow the practicing medical physicist to initiate and continue a high quality program in clinical electron beam dosimetry. This TG-70 report is a supplement to the TG-25 report and enhances the TG-25 report by including new topics and topics that were not covered in depth in the TG-25 report. These topics include procedures for obtaining data to commission a treatment planning computer, determining dose in irregularly shaped electron fields, and commissioning of sophisticated special procedures using high-energy electron beams. The use of
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.
Antonio Estache; Liam Wren-Lewis
As regions around the world are considering increased integration of key energy, transport or other infrastructure networks, issues build in the design of the supranational national regulation needed in that context are increasingly well recognized. Solutions are however slow to emerge. This paper reviews the challenges and discusses the directions suggested by theory to address these challenges. It highlight the potentially counterproductive effects of common standard policy recommendations ...
Burch, Michael D
comprehensive federal legislation which includes a mandatory standard of 1 microg L-(1) for microcystins, and also recommendations for saxitoxins (3 microg L(-1)) and for cylindrospermopsin (15 microg L(-1)). Although guidelines for cyanotoxins and cyanobacterial cell numbers for recreational waters are in place in a number of countries, it is consid ered that there is currently insufficient information to derive sound guidelines for the use of water contaminated by cyanobacteria or toxins for agricultural production, fisheries and ecosystem protection. In relation to the need for specific regulations for toxins for the US, the surveys that have been carried out to date would indicate that the priority compounds for regulation, based upon their incidence and distribution, are microcystins, cylindrospermopsin and Anatoxin-a. Additional research is required to support guideline development, including whole-of-life animal studies with each of the known cyanotoxins. In view of the animal studies that indicate that microcystins may act as tumor promoters, and also some evidence of genotoxicity and carcinogenicity for cylindrospermopsin, it may be appropriate to carry out whole-of-life animal studies with both toxicity and carcinogenicity as end-points. In relation to microcystins, it is known that there a large number of congeners, and the toxico-dynamics and kinetics of these variants are not well understood. Further research is needed to consider the approach to take in formulating health advisories or regulations for toxin mixtures, i.e. multiple microcystins, or mixtures of toxin types. An important requirement for regulation is the availability of robust monitoring and analytical protocols for toxins. Currently rapid and economical screening or quantitative analytical methods are not available to the water industry or natural resource managers, and this is a priority before the release of guidelines and regulations. There is insufficient information available in a range of the
Recommender algorithms are widely used, ranging from traditional Video on Demand to a wide variety of Web 2.0 services. Unfortunately, the related privacy concerns have not received much attention. In this paper, we study the privacy concerns associated with recommender algorithms and present a
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…
Espinosa, Gerard; Muñoz-Fernández, Santiago; García Ruiz de Morales, José M; Herreras, José M; Cordero-Coma, Miguel
To develop recommendations on the use of immunodepressors in patients with non-infectious, non-neoplastic anterior uveitis (AU) based on best evidence and experience. A multidisciplinary panel of five experts was established, who, in the first nominal group meeting defined the scope, users, and chapters of the document. A systematic literature review was performed to assess the efficacy and safety of immunosuppressors in patients with non-infectious, non-neoplastic AU. All the above was discussed in a second nominal group meeting and 33 recommendations were generated. Through the Delphi methodology, the degree of agreement with the recommendations was tested also by 25 more experts. Recommendations were voted on from one (total disagreement) to 10 (total agreement). We defined agreement if at least 70% voted ≥7. The level of evidence and degree of recommendation was assessed using the Oxford Centre for Evidence-based Medicine's Levels of Evidence. The 33 recommendations were accepted. They include specific recommendations on patients with non-infectious, non-neoplastic AU, as well as different treatment lines. In patients with non-infectious, non-neoplastic AU, these recommendations on the use of immunosuppressors might be a guide in order to help in the treatment decision making, due to the lack of robust evidence or other globally accepted algorithms. Copyright © 2017 Elsevier España, S.L.U. All rights reserved.
Butterworth, Jon; Carrazza, Stefano; Cooper-Sarkar, Amanda; Roeck, Albert de; Feltesse, Joel; Forte, Stefano; Gao, Jun; Glazov, Sasha; Huston, Joey; Kassabov, Zahari; McNulty, Ronan; Morsch, Andreas; Nadolsky, Pavel; Radescu, Voica; Rojo, Juan; Thorne, Robert S.
We provide an updated recommendation for the usage of sets of parton distribution functions (PDFs) and the assessment of PDF and PDF+$\\alpha_s$ uncertainties suitable for applications at the LHC Run II. We review developments since the previous PDF4LHC recommendation, and discuss and compare the new
Hageman, Michiel G. H.; Becker, Stephanie J. E.; Bot, Arjan G. J.; Guitton, Thierry; Ring, David; Wahegaonkar, Abhijeet L.; Garcia, Aida E.; Schefer, Alan; Castillo, Alberto Perez; Terrono, Andrew L.; Gurman, Andrew W.; Apard, T.; Watkins, Barry; Ilyas, Asif; Hearon, Bernard F.; Wills, Brian P. D.; Wintman, Bruce I.; Swigart, Carrie; Spath, Catherine; Dario, Cesar; Miranda, Oliveira; Goldfarb, Charles A.; Cassidy, Charles; Metzger, Charles; Eaton, Charles; Wilson, Chris; Walsh, Christopher J.; Wilson, Christopher J.; Jones, Christopher M.; Young, Colby; Bottke, Craig A.; Osei, Daniel A.; Kirkpatrick, D. Kay; Tate, David; Polatsch, Daniel; Nelson, David L.; Kalainov, David M.; Lamey, David M.; Hanel, Doug; Ostrowski, David M.; Miller, David R.; McKee, Desirae M.; Shin, Eon K.; Ruchelsman, David; Bonatz, Ekkehard; Hofmeister, Eric P.; Fischer, Evan S.; Kaplan, F. Thomas D.; Fernandes, C. H.; Forigua, Jamie E.; Cayon Cayon, Fidel Ernesto; Raia, Frank J.; Walter, Frank L.; Frykman, Gary K.; Pess, Gary M.; Kuzma, Gary R.; Huemer, Georg M.; Byrd, Gregory Dee; Balfour, George W.; Caro, Gladys Cecilia Zambrano; Hernandez, German Ricardo; DeSilva, Gregory; Bamberger, H. Brent; Grunwald, H. W.; MccUtchan, Hal; Solomon, Harrison; Kimball, Hervey L.; Stuart, J. E. B.; Lin, Ines C.; Choueka, Jack; Reid, James G.; Boler, James M.; Pomerance, Jay; Johnson, Jeff W.; Yao, Jeffrey; Calandruccio, Jim; Green, Jennifer B.; Wolf, Jennifer Moriatis; Frankenhoff, Jessica A.; Oakey, Jerome W.; Fischer, Jochen; Howlett, John; Jiuliano, John; Erickson, John M.; McAuliffe, John; Evans, John P.; Taras, John; Boretto, Jorge G.; Isaacs, Jonathan; Di Giovanni, Jose Fernando; Nolla, Jose; Abzug, Joshua M.; Adams, Julie; Chivers, Karel; Prommersberger, Karl-Josef; Malone, Kevin J.; Lee, Kendrick; Halperin, Lawrence S.; Weiss, Lawrence; Benson, Leon; Lane, Lewis B.; Paz, Lior; Lattanza, Lisa; Palmer, M. Jason; Catalano, Louis; Richard, Marc J.; Rizzo, Marco; Boyer, Martin; Calcagni, Maurizio; Wood, Megan M.; Baskies, Michael; Grafe, Michael W.; Behrman, Michael; Jones, Michael; Quinn, Michael; Nancollas, Michael; Kessler, Michael W.; Pirela-Cruz, Miguel A.; Patel, Milan M.; Felipe, Naquira Escobar Luis; Harness, Neil G.; Akabudike, Ngozi M.; Horangic, Nicholas J.; Semenkin, Oleg M.; Leung, Nicky L.; McCulloch, Patrick T.; Owens, Patrick W.; Martineau, Paul A.; Bettinger, Paul; Guidera, Paul; Hoepfner, Peter E.; Sitaram, Prasad; DeNoble, Peter H.; Jebson, Peter; Coogan, Philip; Dantuluri, Phani; Gaston, R. Glenn; Nyszkiewicz, Ralf; Costanzo, Ralph M.; de Bedout, Ramon; Hauck, Randy; Fricker, Renato M.; GIlbert, Richard S.; Hutchison, Richard L.; Barth, Richard W.; Papandrea, Rick; Szabo, Robert M.; Gray, Robert R. L.; Nathan, Ross; Spruijt, Sander; Shatford, Russell; Klinefelter, Ryan; Sodha, Samir; Calfee, Ryan P.; Kakar, Sanjeev; Kaplan, Saul; Duncan, Scott F.; Mitchell, Scott; Dodds, Seth; Jacoby, Sidney M.; Kennedy, Stephen A.; Marczyk, Stanley Casimir; Dailey, Stephen W.; Kronlage, Steve; Alter, Steven; Beldner, Steven; McCabe, Steven J.; Hilliard, Stuart M.; Fischer, Thomas J.; Baxamusa, Taizoon; Taleb, C.; Varecka, Thomas F.; Wyrick, Theresa; Havenhill, Timothy G.; Siff, Todd; Knoll, Victoria D.; Patel, Vipul P.; Batson, W. Arnnold; Hammert, Warren C.; van Wyk, William J.
Purpose It is our impression that there is substantial, unexplained variation in hand surgeon recommendations for treatment of peripheral mononeuropathy. We tested the null hypothesis that specific patient and provider factors do not influence recommendations for surgery. Methods Using a web-based
... 40 Protection of Environment 24 2010-07-01 2010-07-01 false Recommended procedures: Transportation. 246.202-5 Section 246.202-5 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED... § 246.202-5 Recommended procedures: Transportation. Transportation to market may be supplied by either...
... 40 Protection of Environment 24 2010-07-01 2010-07-01 false Recommended procedures: Transportation. 246.200-7 Section 246.200-7 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED... § 246.200-7 Recommended procedures: Transportation. Transportation to market may be supplied by the...
Full Text Available The paper provides recommendations onbuilding commitment which can be used by thenonprofit agencies that experience high personnelturnover. The recommendations are based on thetheories and research concerning retention andorganizational commitment. The study focuseson the organizational actions needed to buildcommitment and to retain employees.
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 ...
... 46 Shipping 4 2010-10-01 2010-10-01 false Recommended emergency broadcast instructions. 121.510... CONTROL AND MISCELLANEOUS SYSTEMS AND EQUIPMENT Radio § 121.510 Recommended emergency broadcast instructions. The following emergency broadcast instructions, when placed on a placard, will satisfy the...
Wozney, Lori; Chorney, Jill; Huguet, Anna; Song, Jin Soo; Boss, Emily F; Hong, Paul
Objective Parents frequently refer to information on the Internet to confirm or broaden their understanding of surgical procedures and to research postoperative care practices. Our study evaluated the readability, comprehensiveness, and consistency around online recommendations directed at parents of children undergoing tonsillectomy. Study Design A cross-sectional study design was employed. Setting Thirty English-language Internet websites. Subjects and Methods Three validated measures of readability were applied and content analysis was employed to evaluate the comprehensiveness of information in domains of perioperative education. Frequency effect sizes and percentile ranks were calculated to measure dispersion of recommendations across sites. Results The mean readability level of all sites was above a grade 10 level with fewer than half of the sites (n = 14, 47%) scoring at or below the eight-grade level. Provided information was often incomplete with a noted lack of psychosocial support and skills-training recommendations. Content analysis showed 67 unique recommendations spanning the full perioperative period. Most recommendations had low consensus, being reported in 5 or fewer sites (frequency effect size resources do not meet readability recommendations, portray incomplete education about perioperative care and expectations, and provide recommendations with low levels of consensus. Up-to-date mapping of the research evidence around recommendations is needed as well as improved efforts to make online information easier to read.
With this development, a prompt medical diagnosis, effective drug recommendations and promulgation of effective policies could be provided at community settings where there are shortages in material and human resources for managing these neglected tropical diseases. Keywords: Tropical diseases, recommender ...
of recommendation systems grows, we started working on the movie recommendation systems. Most research efforts in the fields of movie recommendation system are focusing on discovering the most relevant features from users, or seeking out users who share same tastes as that of the given user as well as recommending the movies according to the liking of these sought users or seeking out users who share a connection with other people (friends, classmates, colleagues, etc. and make recommendations based on those related people’s tastes. However, little research has focused on recommending movies based on the movie’s features. In this paper, we present a novel idea that applies machine learning techniques to construct a cluster for the movie by implementing a distance matrix based on the movie features and then make movie recommendation in real time. We implement some different clustering methods and evaluate their performance in a real movie forum website owned by one of our authors. This idea can also be used in other types of recommendation systems such as music, news, and articles.
... Reduction Technology § 57.816 Effect of negative recommendation. No waiver of the interim requirement for... 40 Protection of Environment 5 2010-07-01 2010-07-01 false Effect of negative recommendation. 57.816 Section 57.816 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) AIR PROGRAMS...
de Graaff, V.; van de Venis, Anne; van Keulen, Maurice; de By, R.A.
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
National Council on Indian Opportunity, Washington, DC.
The main body of the document contains recommendations presented by working committees of National Council on Indian Opportunity (NCIO) to the Urban Indian Conference held in December of 1970. Recommendations as outlined and discussed by various committees of NCIO are presented for the following areas: housing, education, alcoholism and drugs,…
... 40 Protection of Environment 24 2010-07-01 2010-07-01 false Recommended Bibliography Appendix to Part 246 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) SOLID WASTES SOURCE SEPARATION FOR MATERIALS RECOVERY GUIDELINES Pt. 246, App. Appendix to Part 246—Recommended Bibliography...
Steeb, Jennifer L. [Argonne National Lab. (ANL), Argonne, IL (United States); Smith, Nicholas A. [Argonne National Lab. (ANL), Argonne, IL (United States); Lee, Denise L. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Huckabay, Heath A. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Ticknor, Brian W. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Argonne and Oak Ridge National Laboratories have prepared an analysis of recommended, possible, and not recommended technologies for pre-screening and prioritizing IAEA swipes. The analytical techniques listed under the recommended technology list are the most promising techniques available to date. The recommended list is divided into two sections: Argonne’s recommended techniques and Oak Ridge’s recommended techniques. This list was divided based upon the expertise of staff in each subject area and/or the instrumentation available at each laboratory. The following section, titled Possible Techniques, is a list of analytical techniques that could be used for pre-screening and prioritizing swipes if additional instrumentation and effort were provided. These techniques are not necessarily top priority, but should not be discounted for future or expanded efforts. Lastly, a list of not recommended techniques is provided to outline the analytical methods and instrumentation that were investigated by each lab but deemed not suitable for this task. In addition to the recommendation list, a short procedure is provided outlining the steps followed for destructive analysis by the Network of Analytical Laboratories (NWAL) for determination of uranium concentrations, isotopic content of sample and swipe. Swipes generated for this project will be given to ORNL’s NWAL laboratory for analysis after analysis by other techniques at both laboratories.
Graus, D.; van Dijk, D.; Tsagkias, M.; Weerkamp, W.; de Rijke, M.
We address the task of recipient recommendation for emailing in enterprises. We propose an intuitive and elegant way of modeling the task of recipient recommendation, which uses both the communication graph (i.e., who are most closely connected to the sender) and the content of the email.
E-commerce firms are increasingly adopting recommendation systems to effectively target customers with products and services. The first essay examines the impact that improving a recommender system has on firms that deploy such systems. A market with customers heterogeneous in their search costs is considered. We find that in a monopoly, a firm…
Winoto, Pinata; Tang, Tiffany Ya; McCalla, Gordon
Making personalized paper recommendations to users in an educational domain is not a trivial task of simply matching users' interests with a paper topic. Therefore, we proposed a context-aware multidimensional paper recommendation system that considers additional user and paper features. Earlier experiments on experienced graduate students…
Ghauth, Khairil Imran; Abdullah, Nor Aniza
A recommender system is a piece of software that helps users to identify the most interesting and relevant learning items from a large number of items. Recommender systems may be based on collaborative filtering (by user ratings), content-based filtering (by keywords), and hybrid filtering (by both collaborative and content-based filtering).…
... 46 Shipping 7 2010-10-01 2010-10-01 false Recommended emergency broadcast instructions. 184.510 Section 184.510 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) SMALL PASSENGER VESSELS (UNDER 100 GROSS TONS) VESSEL CONTROL AND MISCELLANEOUS SYSTEMS AND EQUIPMENT Radio § 184.510 Recommended...
Faught, Erin L; Montemurro, Genevieve; Storey, Kate E; Veugelers, Paul J
We aimed to determine if adherence to established Canadian, American, and WHO-developed nutrition recommendations supported children's academic achievement. Data from a health survey of 1595 grade 5 students in Alberta, Canada, was used. Dietary intake was assessed using a validated food frequency questionnaire. Adherence to recommendations for food group servings, saturated fat intake, and free sugars intake was assessed. Survey data were linked to grade 6 standardized exam results. Multivariable mixed effects linear regression models were employed to assess the association between adherence to recommendations and academic achievement. Boys who met current recommendations for free sugars scored on average 5.67% better on exams (β: 5.67; 95% CI: 3.14, 8.29). Boys who met recommendations for milk and alternatives scored 3.45% better on exams (β: 3.45; 95% CI: 0.67, 6.23). Though results indicated that adhering to dietary recommendations was beneficial for girls' academic achievement, no result was statistically significant. Adherence to current dietary recommendations has benefits for children's academic achievement. This evidence may be used to inform continued development and promotion of dietary recommendations and to support school-based nutrition initiatives.
Erkin, Z.; Beye, M.; Veugen, P.J.M.; Lagendijk, R.L.
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
... Spark processing model in Hadoop context in order for more exact advising the user from the viewpoint of the users. The obtained results indicate that the current method will be more efficient and effective compared to the common recommendation methods. Keywords: recommender systems; big data; sentiment analysis; ...
Erkin, Z.; Beye, M.; Veugen, P.J.M.; Lagendijk, R.L.
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
... minimum: (a) Identifying potential purchasers of the recovered paper through standard market research... 40 Protection of Environment 24 2010-07-01 2010-07-01 false Recommended procedures: Market study...) SOLID WASTES SOURCE SEPARATION FOR MATERIALS RECOVERY GUIDELINES Requirements and Recommended Procedures...
...: (a) Identifying potential purchasers of the recovered corrugated through standard market research... 40 Protection of Environment 24 2010-07-01 2010-07-01 false Recommended procedures: Market study...) SOLID WASTES SOURCE SEPARATION FOR MATERIALS RECOVERY GUIDELINES Requirements and Recommended Procedures...
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
... VEHICLES 39-INTERAGENCY FLEET MANAGEMENT SYSTEMS 39.4-Accidents and Claims § 101-39.402 Recommendations for... 41 Public Contracts and Property Management 2 2010-07-01 2010-07-01 true Recommendations for disciplinary action. 101-39.402 Section 101-39.402 Public Contracts and Property Management Federal Property...
Chirico, R.D.; De Loos, T.W.; Gmehling, J.; Goodwin, A.R.H.; Gupta, S.; Haynes, W.M.; Marsh, K.N.; Rives, V.; Olson, J.D.; Spencer, C.; Brennecke, J.F.; Trusler, J.P.M.
Recommendations are given for reporting in the primary scientific literature of measurements involving phase equilibrium. The focus is on documentation issues, and many of the recommendations may also be applied to the more general fields of thermodynamic and transport properties. The historical
Boer, A.; Winkels, R.; Bex, F.; Villata, S.
Since the OpenLaws portal is envisioned as an open environment for collaboration between legal professionals, recommendation will eventually become a collaborative filtering problem. This paper addresses the cold start problem for such a portal, where initial recommendations will have to be given,
Zheng, Deli; Tian, Feng; Liu, Jun; Zheng, Qinghua; Qin, Jiwei
In order to compensate for lack of emotion communication between teachers and students in e-learning systems, we have designed and implemented the EmotionChat -- a web chatroom with emotion regulation. EmotionChat perceives e-learners' emotional states based on interactive text. And it recommends resources such as music, cartoons, and mottos to an e-learner when it detects negative emotional states. Meanwhile, it recommends emotion regulation cases to the e-learner's listeners and teachers. The result of our initial experiment shows that EmotionChat can recommend valuable emotion regulation policies for e-learners.
Ma, Wenping; Ren, Chen; Wu, Yue; Wang, Shanfeng; Feng, Xiang
Recommender systems play an important role to help us to find useful information. They are widely used by most e-commerce web sites to push the potential items to individual user according to purchase history. Network-based recommendation algorithms are popular and effective in recommendation, which use two types of elements to represent users and items respectively. In this paper, based on consistence-based inference (CBI) algorithm, we propose a novel network-based algorithm, in which users and items are recognized with no difference. The proposed algorithm also uses information diffusion to find the relationship between users and items. Different from traditional network-based recommendation algorithms, information diffusion initializes from users and items, respectively. Experiments show that the proposed algorithm is effective compared with traditional network-based recommendation algorithms.
Varsavsky, Mariela; Rozas Moreno, Pedro; Becerra Fernández, Antonio; Luque Fernández, Inés; Quesada Gómez, José Manuel; Ávila Rubio, Verónica; García Martín, Antonia; Cortés Berdonces, María; Naf Cortés, Silvia; Romero Muñoz, Manuel; Reyes García, Rebeca; Jódar Gimeno, Esteban; Muñoz Torres, Manuel
To provide recommendations based on evidence on the management of vitaminD deficiency in the general population. Members of the Bone Metabolism Working Group of the Spanish Society of Endocrinology. Recommendations were formulated using the GRADE system (Grading of Recommendations, Assessment, Development, and Evaluation) to describe both the strength of recommendations and the quality of evidence. A systematic search was made in MEDLINE (Pubmed) using the term VitaminD and the name of each issue. Papers in English and Spanish with publication date before 17 March 2016 were included. Recommendations were jointly discussed by the Working Group. This document summarizes the data about vitaminD deficiency in terms of prevalence, etiology, screening indications, adequate levels and effects of supplementation on bone and non-skeletal health outcomes. Copyright © 2017 SEEN. Publicado por Elsevier España, S.L.U. All rights reserved.
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.
Jimeno-Yepes, Antonio; Wilkowski, Bartłomiej; Mork, James G; Van Lenten, Elizabeth; Fushman, Dina Demner; Aronson, Alan R
MEDLINE indexing performed by the US National Library of Medicine staff describes the essence of a biomedical publication in about 14 Medical Subject Headings (MeSH). Since 2002, this task is assisted by the Medical Text Indexer (MTI) program. We present a bottom-up approach to MEDLINE indexing in which the abstract is searched for indicators for a specific MeSH recommendation in a two-step process. Supervised machine learning combined with triage rules improves sensitivity of recommendations while keeping the number of recommended terms relatively small. Improvement in recommendations observed in this work warrants further exploration of this approach to MTI recommendations on a larger set of MeSH headings.
Patrick, Marcia R; Hicks, Rodney W
Preventing infection in the perioperative setting is a critical element of patient and health care worker safety. This article reviews the recommendations in the AORN "Recommended practices for prevention of transmissible infections in the perioperative practice setting." The recommended practices are intended to help perioperative nurses implement standard and transmission-based precautions (ie, contact, droplet, airborne), including use of personal protective equipment as well as interventions to prevent surgical site infections and exposure to bloodborne pathogens. Additional recommendations cover vaccination programs and how to manage personnel who require work restrictions. Hospital and ambulatory patient scenarios are included to help perioperative nurses apply the recommendations in daily practice. Copyright © 2013 AORN, Inc. Published by Elsevier Inc. All rights reserved.
Wang, Ximeng; Liu, Yun; Zhang, Guangquan; Xiong, Fei; Lu, Jie
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.
Recommendation algorithms for ratings prediction and item ranking have steadily matured during the past decade. However, these state-of-the-art algorithms are typically applied in relatively straightforward scenarios. In reality, recommendation is often a more complex problem: it is usually just...... a single step in the user's more complex background need. These background needs can often place a variety of constraints on which recommendations are interesting to the user and when they are appropriate. However, relatively little research has been done on these complex recommendation scenarios....... The ComplexRec 2017 workshop addressed this by providing an interactive venue for discussing approaches to recommendation in complex scenarios that have no simple one-size-fits-all-solution....
Recommendation algorithms for ratings prediction and item ranking have steadily matured during the past decade. However, these state-of-the-art algorithms are typically applied in relatively straightforward scenarios. In reality, recommendation is often a more complex problem: it is usually just...... a single step in the user's more complex background need. These background needs can often place a variety of constraints on which recommendations are interesting to the user and when they are appropriate. However, relatively little research has been done on these complex recommendation scenarios....... The ComplexRec 2017 workshop addressed this by providing an interactive venue for discussing approaches to recommendation in complex scenarios that have no simple one-size-fits-all-solution....
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.
Gao, Baozhong; Du, Shouyan; Li, Xinzhi; Liu, Fangai
Currently, there still exists a host of problems in the book recommendation system, such as low accuracy, weak correlation and poor pertinence. Aiming to unravel these problems, this paper based on the theory of big data and data mining technology, through analyzing internet user behavior and the “5C” model of personal credit evaluation, combined with joint impact weight calculation method, which involves user grade, borrowing credit, book friend recommendation degree, book friend recommended adoption degree, borrowing frequency, borrowing number, and borrowing time interval. User activity and credit are also taken into account in the process of establishing user tagging system so as to build classified book recommendation service. This method is of universal meaning to the book recommendation service of smart campus with user as the core under big data environment.
Full Text Available Online news reading has become a widely popular way to read news articles from news sources around the globe. With the enormous amount of news articles available, users are easily overwhelmed by information of little interest to them. News recommender systems help users manage this flood by recommending articles based on user interests rather than presenting articles in order of their occurrence. We present our research on developing personalized news recommendation system with the help of a popular micro-blogging service, “Twitter.” News articles are ranked based on the popularity of the article identified from Twitter’s public timeline. In addition, users construct profiles based on their interests and news articles are also ranked based on their match to the user profile. By integrating these two approaches, we present a hybrid news recommendation model that recommends interesting news articles to the user based on their popularity as well as their relevance to the user profile.
Full Text Available The information on the World Wide Web grows in an explosive rate. Societies are relying more on the Web for their miscellaneous needs of information. Recommendation systems are active information filtering systems that attempt to present the information items like movies, music, images, books recommendations, tags recommendations, query suggestions, etc., to the users. Various kinds of data bases are used for the recommendations; fundamentally these data bases can be molded in the form of many types of graphs. Aiming at provided that a general framework on effective DR (Recommendations by Diffusion algorithm for web graphs mining. First introduce a novel graph diffusion model based on heat diffusion. This method can be applied to both undirected graphs and directed graphs. Then it shows how to convert different Web data sources into correct graphs in our models.
Alberta, Hillary B; Berry, Roberta M; Levine, Aaron D
IVF using donated oocytes offers benefits to many infertile patients, yet the technique also raises a number of ethical concerns, including worries about potential physical and psychological risks to oocyte donors. In the USA, oversight of oocyte donation consists of a combination of federal and state regulations and self-regulatory guidelines promulgated by the American Society for Reproductive Medicine. This study assesses compliance with one of these self-regulatory guidelines - specifically, ASRM's preferred minimum age for donors of 21. To assess compliance, 539 oocyte donor recruitment advertisements from two recruitment channels (Craigslist and college newspapers) were collected and evaluated. Of these, 61% in the Craigslist dataset and 43% in the college newspaper dataset listed minimum ages between 18 and 20, which is inconsistent with ASRM's preferred minimum age recommendation of 21. Advertisements placed by oocyte donor recruitment agencies were more likely than advertisements placed by clinics to specify minimum ages between 18 and 20. These results indicate that ASRM should evaluate and consider revising its donor age guidelines. IVF using donated human eggs can help many patients who have difficulty having children. However, the technique also raises ethical concerns, including concerns about potential physical and psychological harms to egg donors. In the USA, oversight of egg donation relies on a combination of federal and state regulation and professional self-regulation. Governmental regulations address only limited aspects of egg donation, such as the potential spread of infectious diseases and the reporting of success rates, leaving voluntary guidelines developed by an association of medical professionals to address most issues, including ethical concerns raised by the practice. One of these voluntary guidelines recommends that egg donors should be at least 21 years of age. In this article, we analysed 539 egg donor recruitment advertisements
Vogel, E. [Bayerisches Staatsministerium fuer Landesentwicklung und Umweltfragen, Muenchen (Germany)
The publication explains threshold values, emission control policy and legal provisions, the statutory ordinance for protection from electromagnetic fields, DIN standards, relevant building regulations and their implementation. Recommendations of institutions which deviate from those of the ICNRP are discussed as well as the standards applicable in neighbouring countries. Further sources for obtaining specialized information and guidance are mentioned. (orig./CB) [German] Darstellung von Grenzwerten, Immissionsschutz, Verordnung ueber elektromagnetische Felder, DIN-Normen, Bauordnung und deren gesetzmaessige Umsetzung. Diskussion der Empfehlungen kritischer Institutionen und der Standards der Nachbarlaender. Moeglichkeiten zur Beratung durch spezielle Informationsstellen. (orig.)
Moore, Shirley M; Schiffman, Rachel; Waldrop-Valverde, Drenna; Redeker, Nancy S; McCloskey, Donna Jo; Kim, Miyong T; Heitkemper, Margaret M; Guthrie, Barbara J; Dorsey, Susan G; Docherty, Sharron L; Barton, Debra; Bailey, Donald E; Austin, Joan K; Grady, Patricia
Common data elements (CDEs) are increasingly being used by researchers to promote data sharing across studies. The purposes of this article are to (a) describe the theoretical, conceptual, and definition issues in the development of a set of CDEs for research addressing self-management of chronic conditions; (b) propose an initial set of CDEs and their measures to advance the science of self-management; and (c) recommend implications for future research and dissemination. Between July 2014 and December 2015 the directors of the National Institute of Nursing Research (NINR)-funded P20 and P30 centers of excellence and NINR staff met in a series of telephone calls and a face-to-face NINR-sponsored meeting to select a set of recommended CDEs to be used in self-management research. A list of potential CDEs was developed from examination of common constructs in current self-management frameworks, as well as identification of variables frequently used in studies conducted in the centers of excellence. The recommended CDEs include measures of three self-management processes: activation, self-regulation, and self-efficacy for managing chronic conditions, and one measure of a self-management outcome, global health. The self-management of chronic conditions, which encompasses a considerable number of processes, behaviors, and outcomes across a broad range of chronic conditions, presents several challenges in the identification of a parsimonious set of CDEs. This initial list of recommended CDEs for use in self-management research is provisional in that it is expected that over time it will be refined. Comment and recommended revisions are sought from the research and practice communities. The use of CDEs can facilitate generalizability of research findings across diverse population and interventions. © 2016 Sigma Theta Tau International.
Elias, Christelle; Moja, Lorenzo; Mertz, Dominik; Loeb, Mark; Forte, Gilles; Magrini, Nicola
Antimicrobial resistance has become a global burden for which inappropriate antimicrobial use is an important contributing factor. Any decisions on the selection of antibiotics use should consider their effects on antimicrobial resistance. The objective of this study was to assess the extent to which antibiotic prescribing guidelines have considered resistance patterns when making recommendations for five highly prevalent infectious syndromes. We used Medline searches complemented with extensive use of Web engine to identify guidelines on empirical treatment of community-acquired pneumonia, urinary tract infections, acute otitis media, rhinosinusitis and pharyngitis. We collected data on microbiology and resistance patterns and identified discrete pattern categories. We assessed the extent to which recommendations considered resistance, in addition to efficacy and safety, when recommending antibiotics. We identified 135 guidelines, which reported a total of 251 recommendations. Most (103/135, 79%) were from developed countries. Community-acquired pneumonia was the syndrome mostly represented (51, 39%). In only 16 (6.4%) recommendations, selection of empirical antibiotic was discussed in relation to resistance and specific microbiological data. In a further 69 (27.5%) recommendations, references were made in relation to resistance, but the attempt was inconsistent. Across syndromes, 12 patterns of resistance with implications on recommendations were observed. 50% to 75% of recommendations did not attempt to set recommendation in the context of these patterns. There is consistent evidence that guidelines on empirical antibiotic use did not routinely consider resistance in their recommendations. Decision-makers should analyse and report the extent of local resistance patterns to allow better decision-making. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless
Full Text Available Social networks have become a new trend for research among computer scientist around the world. Social network had an impact on users' way of life. One of social network usages is recommendation systems. The need of recommendation systems is arising when users try to know best choice for them in many items types (books, experts, locations, technologies...etc. The problem is that a single person can't try all alternatives in all possibles life goals to compare. Thus, a person has to use his friends' expertise to select better option in any item category. This process is the main idea of “Recommendation Systems”. Recommendation systems usually depend on users-to-items ratings in a network (graph. Two main challenges for recommendation systems are accuracy of recommendation and computation size. The main objective of this paper is to introduce a suggested technique for transitive recommendation system based on users' collaborative ratings, and also to balance loading of computation. All this has to be applied on a special type of social network. Our work studied the transitivity usage in connections to get a relation (path as a recommendation for nodes not directly connected. The target social network has eight types of nodes. So, there are techniques that are not suitable to this complex type of network. Those we can present a new support for recommending items of several types to users with several types. We believe that this functionality hasn't been fully provided elsewhere. We have suggested using single source shortest path algorithm combined with Map Reduce technique, and mathematically deduced that we have a speeding up of algorithm by 10% approximately. Our testing results shows an accuracy of 89% and false rejection of 99% compared to traditional algorithms with less configuration parameters and more steady count of recommendations.
Axe, Alyson S; Varghese, Roshan; Bosma, MaryLynn; Kitson, Nicola; Bradshaw, David J
Regular cleaning of dentures is essential to the oral and general health of denture wearers. Only limited systematic data are available on the recommendations that dental health care professionals (DHCPs) make to patients for denture cleaning. Data on denture wearers' cleaning regimens are also lacking. The purpose of this study was to provide data on recommendations that DHCPs make to patients for denture cleaning and on the cleaning regimens of denture wearers. DHCPs (n=613), including dentists and hygienists, were surveyed in developed (Japan, USA, Italy) and developing (Brazil, India) countries. A questionnaire assessing a range of denture cleaning recommendations was used. The questions addressed products, frequency, how to use remedies, the suggested dilution and duration of cleansing treatment, the location of dentures while cleaning, and the reasoning behind the recommendation of particular products or modes of treatment. Denture cleansing methods and the routine of denture wearers in developed and developing countries were also surveyed with a questionnaire (n=2862) and a 1-week diary (n=1462). An average of more than 2 treatments was recommended by DHCPs. Specialist denture cleanser tablets, "regular" toothpaste, mouthwash, soap and water, denture paste, foam or liquid denture cleanser, and dishwashing detergents were most commonly recommended; other product recommendations included baking soda, vinegar, salt water, and bleach. More than 10% of DHCPs made no primary recommendation on cleaning. Denture tablets were more commonly recommended in developed countries, whereas toothpaste was the most common recommendation in developing countries. Denture wearers used products and methods similar to those recommended by DHCPs. Toothpaste, water, and mouthwash were used more frequently than denture tablets. More than 75% of denture wearers reported using denture cleanser tablets for more than 5 minutes, whereas soap and toothpaste were typically used for less
Site Recommendation (SR). The Total System Performance Assessment-Site Recommendation (TSPA-SR) will present a compliance evaluation of overall system performance against the guidelines and requirements in the revision of the DOE siting guidelines to be promulgated at 10 CFR 963, U.S. Nuclear Regulatory Commission (NRC) regulation for HLW disposal at proposed 10 CFR 63 (the proposed rule has been published at 64 FR 8640), and U.S. Environmental Protection Agency (EPA) environmental radiation protection standard to be promulgated at 40 CFR 197. At present, the NRC has issued the proposed 10 CFR 63 (64 FR 8640) for public comment whereas the EPA standard and the revised DOE siting guidelines are currently being developed. EPA has announced the release of 40 CFR 197 proposed rule on its website (www.epa.gov/radiation/yucca/rule.qui.htm) and the Federal Register announcement (which initiates the 90 day public comment period) is expected by the end of August, 1999. The purpose of this document is to present the overall goals, objectives, scope, methods, approach, and assumptions to be used in the development of the TSPA-SR. This document will serve as a communication tool for coordinating the DOE TSPA activities and for keeping the NRC staff informed of the TSPA activities for the SR.
Pierristal, G.; Benito, B.; Cervera, J.; Belizaire, D.
propose the more suitable classification for Haiti. Finally, we have proposed a methodology for the forces estimation providing the values of the relevant coefficients. References: EN 1998-1:2004 (E): Eurocode 8, Design of structures for earthquake resistance, Part 1(General Rules, seismic actions and rules for buildings), 2004. -MTPTC, (2011). Règles de calcul intérimaires pour les bâtiments en Haïti, Ministère des Travaux Publics, Transports et Communications, Février 2011, Haïti. -NBCC 2005: National Building Code of Canada, vol1, National Research Council of Canada 2005. -NCSE-02: Norma de construcción sismorresistente de España. BOE num.244, Viernes 11 Octubre 2002. -NEHRP, 2009. Recommended Provisions for Seismic Regulations for new Buildings and Other Structures, FEMA P-750, February, Part 1 (Provisions) and Part 2 (Commentary). -R-001 (2011): Reglamento para el análisis y diseño sísmico de estructuras de República Dominicana. Decreto No. 201-11. Ministerio de Obras Públicas y Comunicaciones.
Spiegel, James S
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.
Pravst, Igor; Kušar, Anita; Žmitek, Katja
Background While functional foods offer promise for public health and innovation in the food industry, the efficiency of such foods should be assured to protect consumers from misleading claims. Globally, many countries regulate the communication of the health effects of such foods to final...... consumers. Scope and approach In the European Union (EU), the use of health claims was harmonized in 2006. All claims need to be scientifically assessed by the European Food Safety Authority (EFSA) and pre-approved. Implementing the regulation has involved a steep learning curve for stakeholders, resulting...... claims. Key findings and conclusions Recommendations for the successful substantiation of new health claims in the EU were prepared. The substantiation of health claims is primarily based on human efficacy studies, and greater resources are required to authorize more innovative claims. The reported...
Tang, Tiffany Ya; Winoto, Pinata
In this paper, we extend the current research in the recommendation system community by showing that users did attach ethical consideration to items. In an experiment (N = 111) that manipulated several moral factors regarding the potentially harmful content in movies, books, and games, users were asked to evaluate the appropriateness of recommending these items to teenagers and adult couples. Results agreed with previous studies in that gender plays a key role in making moral judgment, especially regarding the ethical appropriateness of an item. The pilot study further identifies degrees of aversion regarding the appeal of these elements in media for ethical recommendations. Based on the study, we propose a user-initiated ethical recommender system to help users pick up morally appropriate items during the post-recommendation process. We believe that the ethical appropriateness of items perceived by end users could predict the trust and credibility of the system.
Full Text Available This paper proposes a novel approach for recommending social resources using learning from positive and unlabeled examples. Bookmarks submitted on social bookmarking system delicious1 and artists on online music system last.fm2 are considered as social resources. The foremost feature of this problem is that there are no labeled negative resources/examples available for learning a recommender/classifier. The memory based collaborative filtering has served as the most widely used algorithm for social resource recommendation. However, its predictions are based on some ad hoc heuristic rules and its success depends on the availability of a critical mass of users. This paper proposes model based two-step techniques to learn a classifier using positive and unlabeled examples to address personalized resource recommendations. In the first step of these techniques, naïve Bayes classifier is employed to identify reliable negative resources. In the second step, to generate effective resource recommender, classification and regression tree and least square support vector machine (LS-SVM are exercised. A direct method based on LS-SVM is also put forward to realize the recommendation task. LS-SVM is customized for learning from positive and unlabeled data. Furthermore, the impact of feature selection on our proposed techniques is also studied. Memory based collaborative filtering as well as our proposed techniques exploit usage data to generate personalized recommendations. Experimental results show that the proposed techniques outperform existing method appreciably.
Mohammed, Osama; Benlamri, Rachid
In this paper we describe a novel model for differential diagnosis designed to make recommendations by utilizing semantic web technologies. The model is a response to a number of requirements, ranging from incorporating essential clinical diagnostic semantics to the integration of data mining for the process of identifying candidate diseases that best explain a set of clinical features. We introduce two major components, which we find essential to the construction of an integral differential diagnosis recommendation model: the evidence-based recommender component and the proximity-based recommender component. Both approaches are driven by disease diagnosis ontologies designed specifically to enable the process of generating diagnostic recommendations. These ontologies are the disease symptom ontology and the patient ontology. The evidence-based diagnosis process develops dynamic rules based on standardized clinical pathways. The proximity-based component employs data mining to provide clinicians with diagnosis predictions, as well as generates new diagnosis rules from provided training datasets. This article describes the integration between these two components along with the developed diagnosis ontologies to form a novel medical differential diagnosis recommendation model. This article also provides test cases from the implementation of the overall model, which shows quite promising diagnostic recommendation results.
Qiu, Tian; Wang, Tian-Tian; Zhang, Zi-Ke; Zhong, Li-Xin; Chen, Guang
Recommendation bias towards objects has been found to have an impact on personalized recommendation, since objects present heterogeneous characteristics in some network-based recommender systems. In this article, based on a biased heat conduction recommendation algorithm (BHC) which considers the heterogeneity of the target objects, we propose a heterogeneous heat conduction algorithm (HHC), by further taking the heterogeneity of the source objects into account. Tested on three real datasets, the Netflix, RYM and MovieLens, the HHC algorithm is found to present better recommendation in both the accuracy and diversity than two benchmark algorithms, i.e., the original BHC and a hybrid algorithm of heat conduction and mass diffusion (HHM), while not requiring any other accessorial information or parameter. Moreover, the HHC algorithm also elevates the recommendation accuracy on cold objects, referring to the so-called cold-start problem. Eigenvalue analyses show that, the HHC algorithm effectively alleviates the recommendation bias towards objects with different level of popularity, which is beneficial to solving the accuracy-diversity dilemma.
Philosophers have talked to each other about moral issues concerning technology, but few of them have talked about issues of technology and the good life, and even fewer have talked about technology and the good life with the public in the form of recommendation. In effect, recommendations for various technologies are often left to technologists and gurus. Given the potential benefits of informing the public on their impacts on the good life, however, this is a curious state of affairs. In the present paper, I will examine why philosophers are seemingly reluctant to offer recommendations to the public. While there are many reasons for philosophers to refrain from offering recommendations, I shall focus on a specific normative reason. More specifically, it appears that, according to a particular definition, offering recommendations can be viewed as paternalistic, and therefore is prima facie wrong to do so. I will provide an argument to show that the worry about paternalism is unfounded, because a form of paternalism engendered by technology is inevitable. Given the inevitability of paternalism, I note that philosophers should accept the duty to offer recommendations to the public. I will then briefly turn to design ethics, which has reconceptualised the role of philosophers and, in my mind, fitted well with the inevitability of paternalism. Finally, I shall argue that design ethics has to be supplemented by the practice of recommendation if it is to sustain its objective.
Akmar Ismail, Maizatul; Damiasih, Damiasih; Sutopo, Joko; Herawan, Tutut
Research paper recommenders emerged over the last decade to ease finding publications relating to researchers’ area of interest. The challenge was not just to provide researchers with very rich publications at any time, any place and in any form but to also offer the right publication to the right researcher in the right way. Several approaches exist in handling paper recommender systems. However, these approaches assumed the availability of the whole contents of the recommending papers to be freely accessible, which is not always true due to factors such as copyright restrictions. This paper presents a collaborative approach for research paper recommender system. By leveraging the advantages of collaborative filtering approach, we utilize the publicly available contextual metadata to infer the hidden associations that exist between research papers in order to personalize recommendations. The novelty of our proposed approach is that it provides personalized recommendations regardless of the research field and regardless of the user’s expertise. Using a publicly available dataset, our proposed approach has recorded a significant improvement over other baseline methods in measuring both the overall performance and the ability to return relevant and useful publications at the top of the recommendation list. PMID:28981512
Haruna, Khalid; Akmar Ismail, Maizatul; Damiasih, Damiasih; Sutopo, Joko; Herawan, Tutut
Research paper recommenders emerged over the last decade to ease finding publications relating to researchers' area of interest. The challenge was not just to provide researchers with very rich publications at any time, any place and in any form but to also offer the right publication to the right researcher in the right way. Several approaches exist in handling paper recommender systems. However, these approaches assumed the availability of the whole contents of the recommending papers to be freely accessible, which is not always true due to factors such as copyright restrictions. This paper presents a collaborative approach for research paper recommender system. By leveraging the advantages of collaborative filtering approach, we utilize the publicly available contextual metadata to infer the hidden associations that exist between research papers in order to personalize recommendations. The novelty of our proposed approach is that it provides personalized recommendations regardless of the research field and regardless of the user's expertise. Using a publicly available dataset, our proposed approach has recorded a significant improvement over other baseline methods in measuring both the overall performance and the ability to return relevant and useful publications at the top of the recommendation list.
Elmisery, Ahmed M.
In our connected world, recommender systems have become widely known for their ability to provide expert and personalize referrals to end-users in different domains. The rapid growth of social networks and new kinds of systems so called "social recommender systems" are rising, where recommender systems can be utilized to find a suitable content according to end-users' personal preferences. However, preserving end-users' privacy in social recommender systems is a very challenging problem that might prevent end-users from releasing their own data, which detains the accuracy of extracted referrals. In order to gain accurate referrals, social recommender systems should have the ability to preserve the privacy of end-users registered in this system. In this paper, we present a middleware that runs on end-users' Set-top boxes to conceal their profile data when released for generating referrals, such that computation of recommendation proceeds over the concealed data. The proposed middleware is equipped with two concealment protocols to give users a complete control on the privacy level of their profiles. We present an IPTV network scenario and perform a number of different experiments to test the efficiency and accuracy of our protocols. As supported by the experiments, our protocols maintain the recommendations accuracy with acceptable privacy level.
Liu, Jin-Hu; Zhou, Tao; Zhang, Zi-Ke; Yang, Zimo; Liu, Chuang; Li, Wei-Min
As one of the major challenges, cold-start problem plagues nearly all recommender systems. In particular, new items will be overlooked, impeding the development of new products online. Given limited resources, how to utilize the knowledge of recommender systems and design efficient marketing strategy for new items is extremely important. In this paper, we convert this ticklish issue into a clear mathematical problem based on a bipartite network representation. Under the most widely used algorithm in real e-commerce recommender systems, the so-called item-based collaborative filtering, we show that to simply push new items to active users is not a good strategy. Interestingly, experiments on real recommender systems indicate that to connect new items with some less active users will statistically yield better performance, namely, these new items will have more chance to appear in other users' recommendation lists. Further analysis suggests that the disassortative nature of recommender systems contributes to such observation. In a word, getting in-depth understanding on recommender systems could pave the way for the owners to popularize their cold-start products with low costs.
Liu, Jin-Hu; Zhou, Tao; Zhang, Zi-Ke; Yang, Zimo; Liu, Chuang; Li, Wei-Min
As one of the major challenges, cold-start problem plagues nearly all recommender systems. In particular, new items will be overlooked, impeding the development of new products online. Given limited resources, how to utilize the knowledge of recommender systems and design efficient marketing strategy for new items is extremely important. In this paper, we convert this ticklish issue into a clear mathematical problem based on a bipartite network representation. Under the most widely used algorithm in real e-commerce recommender systems, the so-called item-based collaborative filtering, we show that to simply push new items to active users is not a good strategy. Interestingly, experiments on real recommender systems indicate that to connect new items with some less active users will statistically yield better performance, namely, these new items will have more chance to appear in other users' recommendation lists. Further analysis suggests that the disassortative nature of recommender systems contributes to such observation. In a word, getting in-depth understanding on recommender systems could pave the way for the owners to popularize their cold-start products with low costs. PMID:25479013
Full Text Available The use of pervasive computing technologies for advertising purposes is an interesting emergent field for large, medium, and small companies. Although recommender systems have been a traditional solution to decrease users’ cognitive effort to find good and personalized items, the classic collaborative filtering needs to include contextual information to be more effective. The inclusion of users’ social context information in the recommendation algorithm, specifically trust in other users, may be a mechanism for obtaining ads’ influence from other users in their closest social circle. However, there is no consensus about the variables to use during the trust inference process, and its integration into a classic collaborative filtering recommender system deserves a deeper research. On the other hand, the pervasive advertising domain demands a recommender system evaluation from a novelty/precision perspective. The improvement of the precision/novelty balance is not only a matter related to the recommendation algorithm itself but also a better recommendations’ display strategy. In this paper, we propose a novel approach for a collaborative filtering recommender system based on trust, which was tested throughout a digital signage prototype using a multiscreen scheme for recommendations delivery to evaluate our proposal using a novelty/precision approach.
Glober, Nancy K.; Sporer, Karl A.; Guluma, Kama Z.; Serra, John P.; Barger, Joe A.; Brown, John F.; Gilbert, Gregory H.; Koenig, Kristi L.; Rudnick, Eric M.; Salvucci, Angelo A.
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 a suspected stroke 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 a suspected stroke and augmented this review with guidelines from various national and international societies to create our evidence-based recommendations. We then compared the stroke protocols of each of the 33 EMS agencies for consistency with these recommendations. The specific protocol components that we analyzed were the use of a stroke scale, blood glucose evaluation, use of supplemental oxygen, patient positioning, 12-lead electrocardiogram (ECG) and cardiac monitoring, fluid assessment and intravenous access, and stroke regionalization. Results Protocols across EMS agencies in California varied widely. Most used some sort of stroke scale with the majority using the Cincinnati Prehospital Stroke Scale (CPSS). All recommended the evaluation of blood glucose with the level for action ranging from 60 to 80mg/dL. Cardiac monitoring was recommended in 58% and 33% recommended an ECG. More than half required the direct transport to a primary stroke center and 88% recommended hospital notification. Conclusion Protocols for a patient with a suspected stroke vary widely across the state of California. The evidence-based recommendations that we present for the prehospital diagnosis and treatment of this condition may be useful for EMS medical directors tasked with creating and revising these protocols. PMID:26973735
Gioia, Carmine; Ben-Akiva, Moshe; Jørgensen, Ole
Background: Professional recommendations to patients concerning hearing instrument (HI) technology levels are not currently evidence-based. Pre-fitting parameters have not been proven to be the primary indicators for optimal patient outcome with different HI technology levels. This results...... in subjective decision-making as regards the technology level recommendation made by professionals. Purpose: The objective of this study is to gain insight into the decision-making criteria utilized by professionals when recommending HI technology levels to hearing-impaired patients....
Huang, Li; Yang, Yi-feng; Wang, Lei
Recommender systems play an essential role in the modern business world. They recommend favorable items such as books, movies, and search queries to users based on their past preferences. Applying similar ideas and techniques to Monte Carlo simulations of physical systems boosts their efficiency without sacrificing accuracy. Exploiting the quantum to classical mapping inherent in the continuous-time quantum Monte Carlo methods, we construct a classical molecular gas model to reproduce the quantum distributions. We then utilize powerful molecular simulation techniques to propose efficient quantum Monte Carlo updates. The recommender engine approach provides a general way to speed up the quantum impurity solvers.
Full Text Available Marketing information systems are those systems which make the gathering, processing, selection, storage, transmission and display of coordinated and continuous internal and external information. Includes systematic and formal methods used for managing all of an organization's information market. Recommendation systems are those systems that are widely used in online systems to suggest items that users might find interesting. These recommendations are generated using in particular two techniques: content-based and collaborative filtering. This paper aims to define a new system, namely Marketing Recommender System, a system that serves marketing and uses techniques and methods of the digital economy.
Clark, N.H.; Butler, P.C.; Cameron, C.P.
The US Department of Energy Office of Utility Technologies is planning a series of related projects that will seek to improve the integration of renewable energy generation with energy storage in modular systems. The Energy Storage Systems Program and the Photovoltaics Program at Sandia National Laboratories conducted meetings to solicit industry guidance and to create a set of recommendations for the proposed projects. Five possible projects were identified and a three pronged approach was recommended. The recommended approach includes preparing a storage technology handbook, analyzing data from currently fielded systems, and defining future user needs and application requirements.
The overarching goal of this study is to examine the efforts of Chinese NGOs to prevent and/or control industrial pollution risks and then use the findings of this research to study the nature of civil regulation in, and beyond, China’s authoritarian setting. It first argues that 'regulation through
The Safe Drinking Water Act established the Underground Injection Control (UIC) program to ensure that underground injection of wastes does not endanger an underground source of drinking water. Under UIC regulations, an injection well is a hole in the ground, deeper than it is wide, that receives wastes or other fluid substances. Types of injection wells range from deep cased wells to shallow sumps, drywells, and drainfields. The report describes the five classes of UIC wells and summarizes relevant regulations for each class of wells and for the UIC program. The main focus of the report is Class IV and V shallow injection wells. Class IV wells are prohibited and should be closed when they are identified. Class V wells are generally authorized by rule, but EPA or a delegated state may require a permit for a Class V well. This report provides recommendations on sound operating and closure practices for shallow injection wells. In addition the report contains copies of several relevant EPA documents that provide additional information on well operation and closure. Another appendix contains information on the UIC programs in 21 states in which there are DOE facilities discharging to injection wells. The appendix includes the name of the responsible regulatory agency and contact person, a summary of differences between the state`s regulations and Federal regulations, and any closure guidelines for Class IV and V wells.
Hermsen, Rutger; Ursem, Bas; ten Wolde, Pieter Rein
As many as 59% of the transcription factors in Escherichia coli regulate the transcription rate of their own genes. This suggests that auto-regulation has one or more important functions. Here, one possible function is studied. Often the transcription rate of an auto-regulator is also controlled by additional transcription factors. In these cases, the way the expression of the auto-regulator responds to changes in the concentrations of the “input” regulators (the response function) is obviously affected by the auto-regulation. We suggest that, conversely, auto-regulation may be used to optimize this response function. To test this hypothesis, we use an evolutionary algorithm and a chemical–physical model of transcription regulation to design model cis-regulatory constructs with predefined response functions. In these simulations, auto-regulation can evolve if this provides a functional benefit. When selecting for a series of elementary response functions—Boolean logic gates and linear responses—the cis-regulatory regions resulting from the simulations indeed often exploit auto-regulation. Surprisingly, the resulting constructs use auto-activation rather than auto-repression. Several design principles show up repeatedly in the simulation results. They demonstrate how auto-activation can be used to generate sharp, switch-like activation and repression circuits and how linearly decreasing response functions can be obtained. Auto-repression, on the other hand, resulted only when a high response speed or a suppression of intrinsic noise was also selected for. The results suggest that, while auto-repression may primarily be valuable to improve the dynamical properties of regulatory circuits, auto-activation is likely to evolve even when selection acts on the shape of response function only. PMID:20548950
Mateos-Nozal, Jesús; Cruz-Jentoft, Alfonso Jose; Ribera Casado, José Manuel
To compare the learning objectives proposed by the European Union of Medical Specialists Geriatric section (UEMS-GS) with those approved in Spain for undergraduate teaching. Learning objectives included in the European Undergraduate Curriculum in Geriatric Medicine developed by the UEMS-GS in 2013 were compared with those listed in different Spanish official documents: Boletín Oficial del Estado (BOE, Spanish State Gazette), white book on Medicine of the Spanish Accreditation Agency (ANECA), and list of learning objectives of Spanish Medical Schools. the European curriculum recommends to teach 42 competencies divided in 10 sections, while the BOE mentions 37 general competencies and some other specific competencies, and the ANECA mentions 23 generic and 34 specific competencies (similar to the 37 of the BOE), and a list of common contents in which Geriatrics is included. The BOE includes 38% of the European competencies (range 17-100% of competencies in different sections), while the ANECA includes 52% of them (range 17-100%). Spanish regulations include from one third to half of the European recommendations for Geriatrics teaching at undergraduate level. In the future, it seems advisable that official requirements in Spain should converge with European recommendations. This task should also be performed by Spanish Medical Schools. Copyright © 2014 SEGG. Published by Elsevier Espana. All rights reserved.
Clear, Delbert K.
The law clearly provides protection for those who write negative recommendations; however, the standard tests for libel and slander that are used in tort suits where damages are sought for defamation of character are applicable. (Author/MLF)
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...
Deshpande, Mukund; Karypis, George
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...
Cong, Zihan; Zhang, Xingming; Wang, Haoxiang; Xu, Hongjie
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.
, but children and adults do not consume the recommended amounts from this ... Modelling was performed by adding the necessary number of dairy servings, using the dairy composite designed by USDA, to each participant's diet to meet the ...
Chen, Guilin; Gao, Tianrun; Zhu, Xuzhen; Tian, Hui; Yang, Zhao
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.