WorldWideScience

Sample records for methodical recommendations plotnostnoi

  1. Hybrid recommendation methods in complex networks

    Science.gov (United States)

    Fiasconaro, A.; Tumminello, M.; Nicosia, V.; Latora, V.; Mantegna, R. N.

    2015-07-01

    We propose two recommendation methods, based on the appropriate normalization of already existing similarity measures, and on the convex combination of the recommendation scores derived from similarity between users and between objects. We validate the proposed measures on three data sets, and we compare the performance of our methods to other recommendation systems recently proposed in the literature. We show that the proposed similarity measures allow us to attain an improvement of performances of up to 20% with respect to existing nonparametric methods, and that the accuracy of a recommendation can vary widely from one specific bipartite network to another, which suggests that a careful choice of the most suitable method is highly relevant for an effective recommendation on a given system. Finally, we study how an increasing presence of random links in the network affects the recommendation scores, finding that one of the two recommendation algorithms introduced here can systematically outperform the others in noisy data sets.

  2. Hybrid recommendation methods in complex networks.

    Science.gov (United States)

    Fiasconaro, A; Tumminello, M; Nicosia, V; Latora, V; Mantegna, R N

    2015-07-01

    We propose two recommendation methods, based on the appropriate normalization of already existing similarity measures, and on the convex combination of the recommendation scores derived from similarity between users and between objects. We validate the proposed measures on three data sets, and we compare the performance of our methods to other recommendation systems recently proposed in the literature. We show that the proposed similarity measures allow us to attain an improvement of performances of up to 20% with respect to existing nonparametric methods, and that the accuracy of a recommendation can vary widely from one specific bipartite network to another, which suggests that a careful choice of the most suitable method is highly relevant for an effective recommendation on a given system. Finally, we study how an increasing presence of random links in the network affects the recommendation scores, finding that one of the two recommendation algorithms introduced here can systematically outperform the others in noisy data sets.

  3. Hybrid recommendation methods in complex networks

    CERN Document Server

    Fiasconaro, A; Nicosia, V; Latora, V; Mantegna, R N

    2014-01-01

    We propose here two new recommendation methods, based on the appropriate normalization of already existing similarity measures, and on the convex combination of the recommendation scores derived from similarity between users and between objects. We validate the proposed measures on three relevant data sets, and we compare their performance with several recommendation systems recently proposed in the literature. We show that the proposed similarity measures allow to attain an improvement of performances of up to 20\\% with respect to existing non-parametric methods, and that the accuracy of a recommendation can vary widely from one specific bipartite network to another, which suggests that a careful choice of the most suitable method is highly relevant for an effective recommendation on a given system. Finally, we studied how an increasing presence of random links in the network affects the recommendation scores, and we found that one of the two recommendation algorithms introduced here can systematically outpe...

  4. Recommendation advertising method based on behavior retargeting

    Science.gov (United States)

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

    2011-10-01

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

  5. A Method for Recommending Ontology Alignment Strategies

    Science.gov (United States)

    Tan, He; Lambrix, Patrick

    In different areas ontologies have been developed and many of these ontologies contain overlapping information. Often we would therefore want to be able to use multiple ontologies. To obtain good results, we need to find the relationships between terms in the different ontologies, i.e. we need to align them. Currently, there already exist a number of different alignment strategies. However, it is usually difficult for a user that needs to align two ontologies to decide which of the different available strategies are the most suitable. In this paper we propose a method that provides recommendations on alignment strategies for a given alignment problem. The method is based on the evaluation of the different available alignment strategies on several small selected pieces from the ontologies, and uses the evaluation results to provide recommendations. In the paper we give the basic steps of the method, and then illustrate and discuss the method in the setting of an alignment problem with two well-known biomedical ontologies. We also experiment with different implementations of the steps in the method.

  6. Recommendations for Culturally Sensitive Research Methods

    Science.gov (United States)

    Awad, Germine H.; Patall, Erika A.; Rackley, Kadie R.; Reilly, Erin D.

    2016-01-01

    As the US continues to diversify, methods for accurately assessing human behavior must evolve. This paper offers multicultural research considerations at several stages of the research process for psychological research and consultation. Implications regarding the comparative research framework are discussed and suggestions are offered on how to…

  7. Recommendations for Culturally Sensitive Research Methods

    Science.gov (United States)

    Awad, Germine H.; Patall, Erika A.; Rackley, Kadie R.; Reilly, Erin D.

    2016-01-01

    As the US continues to diversify, methods for accurately assessing human behavior must evolve. This paper offers multicultural research considerations at several stages of the research process for psychological research and consultation. Implications regarding the comparative research framework are discussed and suggestions are offered on how to…

  8. Cross-Domain Personalized Learning Resources Recommendation Method

    Directory of Open Access Journals (Sweden)

    Long Wang

    2013-01-01

    Full Text Available According to cross-domain personalized learning resources recommendation, a new personalized learning resources recommendation method is presented in this paper. Firstly, the cross-domain learning resources recommendation model is given. Then, a method of personalized information extraction from web logs is designed by making use of mixed interest measure which is presented in this paper. Finally, a learning resources recommendation algorithm based on transfer learning technology is presented. A time function and the weight constraint of wrong classified samples can be added to the classic TrAdaBoost algorithm. Through the time function, the importance of samples date can be distinguished. The weight constraint can be used to avoid the samples having too big or too small weight. So the Accuracy and the efficiency of algorithm are improved. Experiments on the real world dataset show that the proposed method could improve the quality and efficiency of learning resources recommendation services effectively.

  9. Consensus of recommendations guiding comparative effectiveness research methods.

    Science.gov (United States)

    Morton, Jacob B; McConeghy, Robert; Heinrich, Kirstin; Gatto, Nicolle M; Caffrey, Aisling R

    2016-12-01

    Because of an increasing demand for quality comparative effectiveness research (CER), methods guidance documents have been published, such as those from the Agency for Healthcare Research and Quality (AHRQ) and the Patient-Centered Outcomes Research Institute (PCORI). Our objective was to identify CER methods guidance documents and compare them to produce a summary of important recommendations which could serve as a consensus of CER method recommendations. We conducted a systematic literature review to identify CER methods guidance documents published through 2014. Identified documents were analyzed for methods guidance recommendations. Individual recommendations were categorized to determine the degree of overlap. We identified nine methods guidance documents, which contained a total of 312 recommendations, 97% of which were present in two or more documents. All nine documents recommended transparency and adaptation for relevant stakeholders in the interpretation and dissemination of results. Other frequently shared CER methods recommendations included: study design and operational definitions should be developed a priori and allow for replication (n = 8 documents); focus on areas with gaps in current clinical knowledge that are relevant to decision-makers (n = 7); validity of measures, instruments, and data should be assessed and discussed (n = 7); outcomes, including benefits and harms, should be clinically meaningful, and objectively measured (n = 7). Assessment for and strategies to minimize bias (n = 6 documents), confounding (n = 6), and heterogeneity (n = 4) were also commonly shared recommendations between documents. We offer a field-consensus guide based on nine CER methods guidance documents that will aid researchers in designing CER studies and applying CER methods. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

  10. Recommendations

    Science.gov (United States)

    Brazelton, G. Blue; Renn, Kristen A.; Stewart, Dafina-Lazarus

    2015-01-01

    In this chapter, the editors provide a summary of the information shared in this sourcebook about the success of students who have minoritized identities of sexuality or gender and offer recommendations for policy, practice, and further research.

  11. Recommended methods for purification of solvents and tests for impurities

    CERN Document Server

    Coetzee, J F

    1982-01-01

    Recommended Methods for Purification of Solvents and Tests for Impurities is a compilation of recommended procedures for purification of solvents and tests for solvent impurities. Ten solvents are covered: acetonitrile, sulfolane, propylene carbonate, dimethyl sulfoxide, dimethylformamide, hexamethylphosphoramide, pyridine, ethylenediamine, N-methylacetamide, and N-methylpropionamide. This book is comprised of 12 chapters and opens with an introduction to general aspects of impurity effects. The rationale for the selection of solvent is explained, and the relative reactivities of solutes in di

  12. A Probabilistic Recommendation Method Inspired by Latent Dirichlet Allocation Model

    Directory of Open Access Journals (Sweden)

    WenBo Xie

    2014-01-01

    Full Text Available The recent decade has witnessed an increasing popularity of recommendation systems, which help users acquire relevant knowledge, commodities, and services from an overwhelming information ocean on the Internet. Latent Dirichlet Allocation (LDA, originally presented as a graphical model for text topic discovery, now has found its application in many other disciplines. In this paper, we propose an LDA-inspired probabilistic recommendation method by taking the user-item collecting behavior as a two-step process: every user first becomes a member of one latent user-group at a certain probability and each user-group will then collect various items with different probabilities. Gibbs sampling is employed to approximate all the probabilities in the two-step process. The experiment results on three real-world data sets MovieLens, Netflix, and Last.fm show that our method exhibits a competitive performance on precision, coverage, and diversity in comparison with the other four typical recommendation methods. Moreover, we present an approximate strategy to reduce the computing complexity of our method with a slight degradation of the performance.

  13. Intelligent Knowledge Recommendation Methods for R&D Knowledge Portals

    Institute of Scientific and Technical Information of China (English)

    KIM Jongwoo; LEE Hongjoo; PARK Sungjoo

    2004-01-01

    The personalization in knowledge portals and knowledge management systems is mainly performed based on users' explicitly specified categories and keywords. The explicit specification approach requires users' participation to start personalization services, and has limitation to adapt changes of users' preference. This paper suggests two implicit personalization approaches: automatic user category assignment method and automatic keyword profile generation method. The performances of the implicit personalization approaches are compared with traditional personalization approach using an Internet news site experiment. The result of the experiment shows that the suggested personalization approaches provide sufficient recommendation effectiveness with lessening users'unwanted involvement in personalization process.

  14. Method and system of filtering and recommending documents

    Energy Technology Data Exchange (ETDEWEB)

    Patton, Robert M.; Potok, Thomas E.

    2016-02-09

    Disclosed is a method and system for discovering documents using a computer and providing a small set of the most relevant documents to the attention of a human observer. Using the method, the computer obtains a seed document from the user and generates a seed document vector using term frequency-inverse corpus frequency weighting. A keyword index for a plurality of source documents can be compared with the weighted terms of the seed document vector. The comparison is then filtered to reduce the number of documents, which define an initial subset of the source documents. Initial subset vectors are generated and compared to the seed document vector to obtain a similarity value for each comparison. Based on the similarity value, the method then recommends one or more of the source documents.

  15. 40 CFR 246.201-5 - Recommended procedures: Methods of separation and collection.

    Science.gov (United States)

    2010-07-01

    ... Recommended Procedures § 246.201-5 Recommended procedures: Methods of separation and collection. Following separation within the home, any of the following methods of collection may be used: (a) Materials may be... 40 Protection of Environment 24 2010-07-01 2010-07-01 false Recommended procedures: Methods of...

  16. 40 CFR 246.200-5 - Recommended procedures: Methods of separation and collection.

    Science.gov (United States)

    2010-07-01

    ... Recommended Procedures § 246.200-5 Recommended procedures: Methods of separation and collection. (a) Systems... desk-top system has been designed to minimize these problems. (d) The precise method of separation and... 40 Protection of Environment 24 2010-07-01 2010-07-01 false Recommended procedures: Methods of...

  17. Evaluation of Neighbourhood Selection Methods in Decentralized Recommendation Systems

    NARCIS (Netherlands)

    Clements, M.; Vries, A.P. de; Pouwelse, J.A.; Wang, J.; Reinders, M.J.T.

    2007-01-01

    Recommendation systems are important in social networks that allow the injection of user-generated content and let users indicate their preferences towards the content introduced by others. Considering the increase of usage of these collaborative systems, it seems only a matter of time before the cu

  18. 40 CFR 246.202-4 - Recommended procedures: Methods of separation and storage.

    Science.gov (United States)

    2010-07-01

    ... Procedures § 246.202-4 Recommended procedures: Methods of separation and storage. The method selected will...-effectiveness of using the various methods. All of the following suggested modes of separation and storage... 40 Protection of Environment 24 2010-07-01 2010-07-01 false Recommended procedures: Methods of...

  19. Method and system to discover and recommend interesting documents

    Energy Technology Data Exchange (ETDEWEB)

    Potok, Thomas Eugene; Steed, Chad Allen; Patton, Robert Matthew

    2017-01-31

    Disclosed are several examples of systems that can read millions of news feeds per day about topics (e.g., your customers, competitors, markets, and partners), and provide a small set of the most relevant items to read to keep current with the overwhelming amount of information currently available. Topics of interest can be chosen by the user of the system for use as seeds. The seeds can be vectorized and compared with the target documents to determine their similarity. The similarities can be sorted from highest to lowest so that the most similar seed and target documents are at the top of the list. This output can be produced in XML format so that an RSS Reader can format the XML. This allows for easy Internet access to these recommendations.

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

    Directory of Open Access Journals (Sweden)

    Qingzhen Xu

    2014-01-01

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

  1. Recommendations for European solar collector test methods (Liquid heating collectors)

    Science.gov (United States)

    Derrick, A.; Gillett, W. B.

    Standardized testing formats, equipment, conditions, and tests defined as part of the solar flat plate collector testing program performed by the Commission of the European Communities are detailed. The work is a product of efforts at 20 laboratories, and alternative methods have been characterized for tailoring tests to particular locations and climatic conditions. The testing methods are intended for collectors using a liquid as the heat transfer medium. Procedures have been defined for examining steady state and transient performance, heat loss, thermal capacity, pressure drop, and anemometry. Instrumentation types and accuracies have been defined, and a standardized format for presentation of results has been developed. The tests are tailored for determining the durability of the flat plate systems under simulated solar radiation conditions.

  2. Problems and Recommendations for Rural Statistics and Survey Methods

    Institute of Scientific and Technical Information of China (English)

    Chengjun; ZHANG

    2014-01-01

    With constant deepening of the reform and opening-up,national economic system has changed from planned economy to market economy,and rural survey and statistics remain in a difficult transition period. In this period,China needs transforming original statistical mode according to market economic system. All levels of government should report and submit a lot and increasing statistical information. Besides,in this period,townships,villages and counties are faced with old and new conflicts. These conflicts perplex implementation of rural statistics and survey and development of rural statistical undertaking,and also cause researches and thinking of reform of rural statistical and survey methods.

  3. Recommended methods for statistical analysis of data containing less-than-detectable measurements

    Energy Technology Data Exchange (ETDEWEB)

    Atwood, C.L.; Blackwood, L.G.; Harris, G.A.; Loehr, C.A.

    1990-09-01

    This report is a manual for statistical workers dealing with environmental measurements, when some of the measurements are not given exactly but are only reported as less than detectable. For some statistical settings with such data, many methods have been proposed in the literature, while for others few or none have been proposed. This report gives a recommended method in each of the settings considered. The body of the report gives a brief description of each recommended method. Appendix A gives example programs using the statistical package SAS, for those methods that involve nonstandard methods. Appendix B presents the methods that were compared and the reasons for selecting each recommended method, and explains any fine points that might be of interest. This is an interim version. Future revisions will complete the recommendations. 34 refs., 2 figs., 11 tabs.

  4. Selection of a method to rate the strength of scientific evidence for AORN recommendations.

    Science.gov (United States)

    Steelman, Victoria M; Pape, Theresa; King, Cecil A; Graling, Paula; Gaberson, Kathleen B

    2011-04-01

    The use of scientific evidence to support national recommendations about clinical decisions has become an expectation of multidisciplinary health care organizations. The objectives of this project were to identify the most applicable evidence-rating method for perioperative nursing practice, evaluate the reliability of this method for perioperative nursing recommendations, and identify barriers and facilitators to adoption of this method for AORN recommendations. A panel of perioperative nurse experts evaluated 46 evidence-rating systems for quality, quantity, and consistency. We rated the methods that fully covered all three domains on five aspects of applicability to perioperative nursing practice recommendations. The Oncology Nursing Society's method was rated highest for all five aspects of applicability, and interrater reliability of this method for perioperative recommendations was 100%. Potential barriers to implementation of the rating method include knowledge deficit, staff resources, resistance to change, and fear of showing that lower levels of evidence support some recommendations. Facilitators included education, resource allocation, and starting small. Barriers and facilitators will be considered by the implementation team that will develop a plan to achieve integration of evidence rating into AORN documents. The AORN Board of Directors approved adoption of this method in June 2010. Copyright © 2011 AORN, Inc. Published by Elsevier Inc. All rights reserved.

  5. Recommended methods for statistical analysis of data containing less-than-detectable measurements

    Energy Technology Data Exchange (ETDEWEB)

    Atwood, C.L.; Blackwood, L.G.; Harris, G.A.; Loehr, C.A.

    1991-09-01

    This report is a manual for statistical workers dealing with environmental measurements, when some of the measurements are not given exactly but are only reported as less than detectable. For some statistical settings with such data, many methods have been proposed in the literature, while for others few or none have been proposed. This report gives a recommended method in each of the settings considered. The body of the report gives a brief description of each recommended method. Appendix A gives example programs using the statistical package SAS, for those methods that involve nonstandard methods. Appendix B presents the methods that were compared and the reasons for selecting each recommended method, and explains any fine points that might be of interest. 7 refs., 4 figs.

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

    Science.gov (United States)

    Moradi, Parham; Ahmadian, Sajad; Akhlaghian, Fardin

    2015-10-01

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

  7. Evaluation of selection methods for toxicological impacts in LCA. Recommendations for OMNIITOX

    DEFF Research Database (Denmark)

    Larsen, Henrik Fred; Birkved, Morten; Hauschild, Michael Zwicky

    2004-01-01

    selection methods. Conclusion and Recommendations. For the development of SMs it is recommended that the general principles for CRS systems as applied to SMs are taken into account. Furthermore, special attention should be paid to some specific issues, i.e. the emitted amount should be included, data......Goal, Scope and Background. The aim of this study has been to come up with recommendations on how to develop a selection method (SM) within the method development research of the OMNIITOX project. An SM is a method for prioritization of chemical emissions to be included in a Life Cycle Impact...... categories, and when they do there are typically many gaps. This study covers the only existing methods explicitly designed as SMs (EDIP-selection, Priofactor and CPM-selection), the dominating Chemical Ranking and Scoring (CRS) method in Europe (EURAM) and in USA (WMPT) that can be adapted for this purpose...

  8. Instructional Strategies Recommended in Social Studies Methods Textbooks: A Historical Perspective

    Science.gov (United States)

    Wojcik, Teresa G.; Heitzmann, Ray; Kilbride, Candice; Hartwell, Daniel

    2013-01-01

    Social studies methods textbooks constitute a rich source of data for trends in teaching and learning. This study examined twenty secondary social studies methods texts for the instructional approaches they recommend. The researchers concluded that methods texts published over the past fifty years consistently call for pedagogical variety and…

  9. From Popularity to Personality——A Heuristic Music Recommendation Method for Niche Market

    Institute of Scientific and Technical Information of China (English)

    Jun-Lin Zhou; Yan Fu; Hua Lu; Chong-Jing Sun

    2011-01-01

    In most current recommender systems,the goal to accurately predict what people want leads to the tendency to recommend popular items,which is less helpful in revealing user's personality,especially to new users.In this paper,we propose a heuristic music recommendation method for niche market by focusing on how to identify user's personality as soon as possible.Instead of trying to improve algorithm's performance on new users by recommending the most popular items,we work on how to make them "familiar" with the system earlier.The method is more suitable for brand-new users,and gives a hint to solve the cold start problem.In real apphcations it is better to combine it with a traditional approach.

  10. The absolute recommendation of chamber Neubauer method for platelets counting instead of indirect methods in severe thrombocytopenic patients

    Directory of Open Access Journals (Sweden)

    Oliveira Raimundo Antônio Gomes

    2003-01-01

    Full Text Available Accurate and precise platelet counting is crucial for recommending platelets transfusion for thrombocytopenic patients, principally when platelet counts are bellow 30,000/µl. As most laboratories still use the indirect methods for confirming low automated platelet counts, this work compared two indirect methods used in practice (Fonio and Nosanchunk et al. with the International Committee for Standardization in Hematology recommended direct method (Brecher and Cronkite. The obtained data show that the indirect methods present low precision and accuracy, and that the direct method should always be employed in severe thrombocytopenic samples thanks to its high precision.

  11. Developmental neurotoxicity testing: recommendations for developing alternative methods for the screening and prioritization of chemicals.

    Science.gov (United States)

    Crofton, Kevin M; Mundy, William R; Lein, Pamela J; Bal-Price, Anna; Coecke, Sandra; Seiler, Andrea E M; Knaut, Holger; Buzanska, Leonora; Goldberg, Alan

    2011-01-01

    Developmental neurotoxicity testing (DNT) is perceived by many stakeholders to be an area in critical need of alternative methods to current animal testing protocols and guidelines. An immediate goal is to develop test methods that are capable of screening large numbers of chemicals. This document provides recommendations for developing alternative DNT approaches that will generate the type of data required for evaluating and comparing predictive capacity and efficiency across test methods and laboratories. These recommendations were originally drafted to stimulate and focus discussions of alternative testing methods and models for DNT at the TestSmart DNT II meeting (http://caat.jhsph.edu/programs/workshops/dnt2.html) and this document reflects critical feedback from all stakeholders that participated in this meeting. The intent of this document is to serve as a catalyst for engaging the research community in the development of DNT alternatives and it is expected that these recommendations will continue to evolve with the science.

  12. Practical Recommendations to Improve the Quality of Training and Methodical Support of Professional Teacher Education

    Science.gov (United States)

    Grebennikov, Valery V.; Grudtsina, Ludmila Yu.; Marchuk, Nikolay N.; Sangadgiev, Badma V.; Kudyashev, Nail K.

    2016-01-01

    The research urgency is caused by the transition to the knowledge society and new demands for training and methodical provision of professional pedagogical education. The purpose of this paper is to develop practical recommendations to improve the quality of training and methodical support of professional pedagogical education. The leading…

  13. Determination of Selected Volatiles in Cigarette Mainstream Smoke. The CORESTA 2009 Collaborative Study and Recommended Method

    Directory of Open Access Journals (Sweden)

    Intorp M

    2014-12-01

    Full Text Available A recommended method has been developed and published by CORESTA, applicable to the quantification of selected volatiles (1,3-butadiene, isoprene, acrylonitrile, benzene, and toluene in the gas phase of cigarette mainstream smoke. The method involved smoke collection in impinger traps and detection and measurement using gas chromatography/mass spectrometry techniques.

  14. 25 CFR 309.8 - For marketing purposes, what is the recommended method of identifying authentic Indian products?

    Science.gov (United States)

    2010-04-01

    ... 25 Indians 2 2010-04-01 2010-04-01 false For marketing purposes, what is the recommended method of... THE INTERIOR PROTECTION OF INDIAN ARTS AND CRAFTS PRODUCTS § 309.8 For marketing purposes, what is the recommended method of identifying authentic Indian products? (a) The recommended method of marketing...

  15. A comparative study of two reconstructive methods and different recommendations in intracavitary brachytherapy

    Directory of Open Access Journals (Sweden)

    KR Muralidhar

    2010-01-01

    Full Text Available Purpose: Intracavitary brachytherapy (ICB is a widely used technique in the treatment of cervical cancer. In our Institute, we use different reconstructive methods in the conventional planning procedure. The main aim of this study was to compare these methods using critical organ doses obtained in various treatment plans. There is a small difference in the recommendations in selecting bladder dose point between ICRU (International Commission on Radiation Units & Measurements -38 and ABS (American Brachytherapy Society. The second objective of the study was to find the difference in bladder dose using both recommendations.Material and methods: We have selected two methods: variable angle method (M1 and orthogonal method (M2. Two orthogonal sets of radiographs were taken into consideration using conventional simulator. All four radiographs were used in M1 and only two radiographs were used in M2. Bladder and rectum doses were calculated using ICRU-38 recommendations. For maximum bladder dose reference point as per the ABS recommendation, 4 to 5 reference points were marked on Foley’s balloon.Results: 64% of plans were showing more bladder dose and 50% of plans presented more rectum dose in M1 compared to M2. Many of the plans reviled maximum bladder dose point, other than ICRU-38 bladder point in both methods.Variation was exceeded in 5% of considerable number of plans.Conclusions: We observed a difference in critical organ dose between two studied methods. There is an advantage of using variable angle reconstruction method in identifying the catheters. It is useful to follow ABS recommendation to find maximum bladder dose.

  16. A multi-label learning based kernel automatic recommendation method for support vector machine.

    Science.gov (United States)

    Zhang, Xueying; Song, Qinbao

    2015-01-01

    Choosing an appropriate kernel is very important and critical when classifying a new problem with Support Vector Machine. So far, more attention has been paid on constructing new kernels and choosing suitable parameter values for a specific kernel function, but less on kernel selection. Furthermore, most of current kernel selection methods focus on seeking a best kernel with the highest classification accuracy via cross-validation, they are time consuming and ignore the differences among the number of support vectors and the CPU time of SVM with different kernels. Considering the tradeoff between classification success ratio and CPU time, there may be multiple kernel functions performing equally well on the same classification problem. Aiming to automatically select those appropriate kernel functions for a given data set, we propose a multi-label learning based kernel recommendation method built on the data characteristics. For each data set, the meta-knowledge data base is first created by extracting the feature vector of data characteristics and identifying the corresponding applicable kernel set. Then the kernel recommendation model is constructed on the generated meta-knowledge data base with the multi-label classification method. Finally, the appropriate kernel functions are recommended to a new data set by the recommendation model according to the characteristics of the new data set. Extensive experiments over 132 UCI benchmark data sets, with five different types of data set characteristics, eleven typical kernels (Linear, Polynomial, Radial Basis Function, Sigmoidal function, Laplace, Multiquadric, Rational Quadratic, Spherical, Spline, Wave and Circular), and five multi-label classification methods demonstrate that, compared with the existing kernel selection methods and the most widely used RBF kernel function, SVM with the kernel function recommended by our proposed method achieved the highest classification performance.

  17. Examination of Quantitative Methods Used in Early Intervention Research: Linkages with Recommended Practices.

    Science.gov (United States)

    Snyder, Patricia; Thompson, Bruce; McLean, Mary E.; Smith, Barbara J.

    2002-01-01

    Findings are reported related to the research methods and statistical techniques used in 450 group quantitative studies examined by the Council for Exceptional Children's Division for Early Childhood Recommended Practices Project. Studies were analyzed across seven dimensions including sampling procedures, variable selection, variable definition,…

  18. Report on the Recommended Method to Measure the Carbon Footprint of a USCG Vessel

    Science.gov (United States)

    2011-01-01

    21. No of Pages 128 22. Price Report on the Recommended Method to Measure the Carbon Footprint of a USCG Vessel iv UNCLAS//Public...Steel.. Operating welder, torch, etc.. Electricity, Steel, Argon, Oxygen, Acetylene , Welding Rods, flux Finished Product 8.1.2 Cleaning Tanks (oil

  19. Recommended Minimum Test Requirements and Test Methods for Assessing Durability of Random-Glass-Fiber Composites

    Energy Technology Data Exchange (ETDEWEB)

    Battiste, R.L.; Corum, J.M.; Ren, W.; Ruggles, M.B.

    1999-06-01

    This report provides recommended minimum test requirements are suggested test methods for establishing the durability properties and characteristics of candidate random-glass-fiber polymeric composites for automotive structural applications. The recommendations and suggestions are based on experience and results developed at Oak Ridge National Laboratory (ORNL) under a US Department of Energy Advanced Automotive Materials project entitled ''Durability of Lightweight Composite Structures,'' which is closely coordinated with the Automotive Composites Consortium. The report is intended as an aid to suppliers offering new structural composites for automotive applications and to testing organizations that are called on to characterize the composites.

  20. The effectiveness of scoliosis screening programs: methods for systematic review and expert panel recommendations formulation

    Science.gov (United States)

    2013-01-01

    Background Literature on scoliosis screening is vast, however because of the observational nature of available data and methodological flaws, data interpretation is often complex, leading to incomplete and sometimes, somewhat misleading conclusions. The need to propose a set of methods for critical appraisal of the literature about scoliosis screening, a comprehensive summary and rating of the available evidence appeared essential. Methods To address these gaps, the study aims were: i) To propose a framework for the assessment of published studies on scoliosis screening effectiveness; ii) To suggest specific questions to be answered on screening effectiveness instead of trying to reach a global position for or against the programs; iii) To contextualize the knowledge through expert panel consultation and meaningful recommendations. The general methodological approach proceeds through the following steps: Elaboration of the conceptual framework; Formulation of the review questions; Identification of the criteria for the review; Selection of the studies; Critical assessment of the studies; Results synthesis; Formulation and grading of recommendations in response to the questions. This plan follows at best GRADE Group (Grades of Recommendation, Assessment, Development and Evaluation) requirements for systematic reviews, assessing quality of evidence and grading the strength of recommendations. Conclusions In this article, the methods developed in support of this work are presented since they may be of some interest for similar reviews in scoliosis and orthopaedic fields. PMID:23883346

  1. Determination of Carbonyl Compounds in Cigarette Mainstream Smoke. The CORESTA 2010 Collaborative Study and Recommended Method

    Directory of Open Access Journals (Sweden)

    Intorp M

    2014-12-01

    Full Text Available A recommended method has been developed and published by CORESTA, applicable to the quantification of selected carbonyl compounds (acetaldehyde, formaldehyde, acetone, acrolein, methyl ethyl ketone, crotonaldehyde, propionaldehyde and butyraldehyde in cigarette mainstream smoke. The method involved smoke collection in impinger traps, derivatisation of carbonyls with 2,4-dinitrophenylhydrazine (DNPH, separation of carbonyl hydrazones by reversed phase high performance liquid chromatography and detection by ultra violet or diode array.

  2. Book Recommendation Using Machine Learning Methods Based on Library Loan Records and Bibliographic Information

    OpenAIRE

    Tsuji, Keita; Yoshikane, Fuyuki; Sato, Sho; Itsumura, Hiroshi

    2015-01-01

    In this paper, we propose a method to recommend Japanese books to university students throughmachine learning modules based on several features, including library loan records. We determine themost effective method among the ones that used (a) a support vector machine (SVM), (b) a randomforest, and (c) Adaboost. Furthermore, we assess the most effective combination of relevant featuresamong (1) the association rules derived from library loan records, (2) book titles, (3) Nippon DecimalClassif...

  3. A CONTEXT-AWARE TOURISM RECOMMENDER SYSTEM BASED ON A SPREADING ACTIVATION METHOD

    Directory of Open Access Journals (Sweden)

    Z. Bahramian

    2017-09-01

    Full Text Available Users planning a trip to a given destination often search for the most appropriate points of interest location, this being a non-straightforward task as the range of information available is very large and not very well structured. The research presented by this paper introduces a context-aware tourism recommender system that overcomes the information overload problem by providing personalized recommendations based on the user’s preferences. It also incorporates contextual information to improve the recommendation process. As previous context-aware tourism recommender systems suffer from a lack of formal definition to represent contextual information and user’s preferences, the proposed system is enhanced using an ontology approach. We also apply a spreading activation technique to contextualize user preferences and learn the user profile dynamically according to the user’s feedback. The proposed method assigns more effect in the spreading process for nodes which their preference values are assigned directly by the user. The results show the overall performance of the proposed context-aware tourism recommender systems by an experimental application to the city of Tehran.

  4. Healthcare information systems: data mining methods in the creation of a clinical recommender system

    Science.gov (United States)

    Duan, L.; Street, W. N.; Xu, E.

    2011-05-01

    Recommender systems have been extensively studied to present items, such as movies, music and books that are likely of interest to the user. Researchers have indicated that integrated medical information systems are becoming an essential part of the modern healthcare systems. Such systems have evolved to an integrated enterprise-wide system. In particular, such systems are considered as a type of enterprise information systems or ERP system addressing healthcare industry sector needs. As part of efforts, nursing care plan recommender systems can provide clinical decision support, nursing education, clinical quality control, and serve as a complement to existing practice guidelines. We propose to use correlations among nursing diagnoses, outcomes and interventions to create a recommender system for constructing nursing care plans. In the current study, we used nursing diagnosis data to develop the methodology. Our system utilises a prefix-tree structure common in itemset mining to construct a ranked list of suggested care plan items based on previously-entered items. Unlike common commercial systems, our system makes sequential recommendations based on user interaction, modifying a ranked list of suggested items at each step in care plan construction. We rank items based on traditional association-rule measures such as support and confidence, as well as a novel measure that anticipates which selections might improve the quality of future rankings. Since the multi-step nature of our recommendations presents problems for traditional evaluation measures, we also present a new evaluation method based on average ranking position and use it to test the effectiveness of different recommendation strategies.

  5. Sources of method bias in social science research and recommendations on how to control it.

    Science.gov (United States)

    Podsakoff, Philip M; MacKenzie, Scott B; Podsakoff, Nathan P

    2012-01-01

    Despite the concern that has been expressed about potential method biases, and the pervasiveness of research settings with the potential to produce them, there is disagreement about whether they really are a problem for researchers in the behavioral sciences. Therefore, the purpose of this review is to explore the current state of knowledge about method biases. First, we explore the meaning of the terms "method" and "method bias" and then we examine whether method biases influence all measures equally. Next, we review the evidence of the effects that method biases have on individual measures and on the covariation between different constructs. Following this, we evaluate the procedural and statistical remedies that have been used to control method biases and provide recommendations for minimizing method bias.

  6. Long-term effects of user preference-oriented recommendation method on the evolution of online system

    Science.gov (United States)

    Shi, Xiaoyu; Shang, Ming-Sheng; Luo, Xin; Khushnood, Abbas; Li, Jian

    2017-02-01

    As the explosion growth of Internet economy, recommender system has become an important technology to solve the problem of information overload. However, recommenders are not one-size-fits-all, different recommenders have different virtues, making them be suitable for different users. In this paper, we propose a novel personalized recommender based on user preferences, which allows multiple recommenders to exist in E-commerce system simultaneously. We find that output of a recommender to each user is quite different when using different recommenders, the recommendation accuracy can be significantly improved if each user is assigned with his/her optimal personalized recommender. Furthermore, different from previous works focusing on short-term effects on recommender, we also evaluate the long-term effect of the proposed method by modeling the evolution of mutual feedback between user and online system. Finally, compared with single recommender running on the online system, the proposed method can improve the accuracy of recommendation significantly and get better trade-offs between short- and long-term performances of recommendation.

  7. Method transfer for ligand-binding assays: recommendations for best practice.

    Science.gov (United States)

    DeSimone, Danielle; Shih, Judy Y; Gunn, Han C; Patel, Vimal; Uy, Lennie; Thway, Theingi M

    2011-09-01

    To support clinical trials, bioanalytical methods are often transferred from one laboratory to another. With the rising number of large-molecule therapeutic proteins submitted for US FDA approval, the demand for large-molecule bioanalytical support and, subsequently, method transfer increases. Ligand-binding assays are the methods most commonly used to quantify endogenous and therapeutic proteins for the assessment of biomarkers and pharmacokinetic parameters. The goal of this review is to provide an overview of ligand-binding assay method transfer, essential parameters for partial method validation and to lay out a strategy to increase the chance of success. The recommendations herein are based on a summary of current publications and the authors' specific experiences, to help increase workload efficiency, maintain positive collaborations with partners and meet program timelines.

  8. [Medical exposure from computed tomographic examination -a recommendation of dosimetry by film method-].

    Science.gov (United States)

    Yasutomo, Motokatsu; Yagi, Hirofumi

    2002-01-01

    Already, the 30 year have passed since that the CT scanner was developed by Hunsfield. And now above 16,000 sets are at work. On the other hand, as the improvements of image reconstruction algorithm and variations os scan method, the medical exposure is increasing. For example, in the case of computed radiography, medical exposure is stability by using an auto exposure controller but in the case of CT, there is no unit and usually the exposure condition of CT examination are used that of recommended an exposure condition by maker. So the medical exposure greatly differs according to the operators or the kinds of CT scanner. In addition, there is the close connection between the x-ray intensity and the image quality. Especially, in the case of CT scanner there is no saturation of x-ray intensity like the optical density of film screen system because the digital radiographic systems have the wide dynamic range. So the increase in x-ray intensity makes a contribution to improvement of the image quality. But the increase in x-ray intensity makes a contribution to the increase in medical exposure. Therefore it is very important that the CT operators grasp the medical exposure per each CT examination and patient. There are many methods of medical exposure dosimetry on CT examination. But almost all the methods except the film method are impossible to get the medical exposure per each CT examination and patient. So in this paper the film method is recommended. Because the film method is low-priced, simple, easy and immediately shows the medical exposure per each CT examination and patient. Furthermore, it is confirmed that the film method is getting the correct medical exposure because that values gotten by the film method and ionization chamber are almost equivalent.

  9. Evaluation of two recommended disinfection methods for cleaning cloths used in food services of southern Brazil

    Directory of Open Access Journals (Sweden)

    Sabrina Bartz

    2013-09-01

    Full Text Available In the State of Rio Grande do Sul (RS, Southern Brazil, a good manufacturing practices regulation was published recommending two disinfection methods for cleaning cloths used in food services. The aim of the present study was to evaluate the efficacy of those methods. Cleaning cloths were sampled without prior notice at food services, on common working days. For the analyses, the cloths were divided in two sub-samples, being one of them microbiologically analyzed. The second sub-sample was further divided in two pieces and submitted to hand washing for two minutes. After that, one piece was boiled in water for 15 min and the other one was soaked in a 200 ppm sodium hypochlorite solution for 15 min. Both pieces of cloth were submitted to microbiological analyses. Cleaning cloths presented total aerobic mean counts of 6.9 ± 6.7 log/cm². All cleaning cloths presented coliform contamination, and 40% demonstrated mean counts of 6.2 ± 5.6 log/cm². Presumptive S. aureus mean counts of 5.5 ± 4.9 log/cm² were found. No statistic correlation was observed among the number of meals served daily in the food services and the microbiological contamination levels. After washing and disinfection, microbiological counts were significantly (p < 0.05 reduced by both methods, achieving an approximately 5 log reduction. The reductions achieved by the sodium hypochlorite soaking method and the boiling method were not significantly different. Thus, it was possible to conclude that both recommended methods were suitable to disinfect cleaning cloths used in food services.

  10. Recommendation Method for Build-to-Order Products Considering Substitutability of Specifications and Stock Consumption Balance of Components

    Science.gov (United States)

    Shimoda, Atsushi; Kosugi, Hidenori; Karino, Takafumi; Komoda, Norihisa

    This study focuses on a stock reduction method for build-to-order (BTO) products to flow surplus parts out to the market using sale by recommendation. A sale by recommendation is repeated in an each business negotiation using a recommended configuration selected from the inventory of parts to minimize the stock deficiency or excess at the end of a certain period of the production plan. The method is based on the potential of a customer specification to be replaced by an alternative one if the alternative one is close to the initial customer specification. A recommendation method is proposed that decides the recommended product configuration by balancing the part consumption so that the alternative specification of the configuration is close enough to the initial customer specification for substitutability. The method was evaluated by a simulation using real BTO manufacturing data and the result demonstrates that the unbalance of the consumption of parts inventory is improved.

  11. Recommended methods for range-wide monitoring of prairie dogs in the United States

    Science.gov (United States)

    McDonald, Lyman L.; Stanley, Thomas R.; Otis, David L.; Biggins, Dean E.; Stevens, Patricia D.; Koprowski, John L.; Ballard, Warren

    2011-01-01

    One of the greatest challenges for conserving grassland, prairie scrub, and shrub-steppe ecosystems is maintaining prairie dog populations across the landscape. Of the four species of prairie dogs found in the United States, the Utah prairie dog (Cynomys parvidens) is listed under the Endangered Species Act (ESA) as threatened, the Gunnison's prairie dog (C. gunnisoni) is a candidate for listing in a portion of its range, and the black-tailed prairie dog (C. ludovicianus) and white-tailed prairie dog (C. leucurus) have each been petitioned for listing at least once in recent history. Although the U.S. Fish and Wildlife Service (USFWS) determined listing is not warranted for either the black-tailed prairie dog or white-tailed prairie dog, the petitions and associated reviews demonstrated the need for the States to monitor and manage for self-sustaining populations. In response to these findings, a multi-State conservation effort was initiated for the nonlisted species which included the following proposed actions: (1) completing an assessment of each prairie dog species in each State, (2) developing a range-wide monitoring protocol for each species using a statistically valid sampling procedure that would allow comparable analyses across States, and (3) monitoring prairie dog status every 3-5 years depending upon the species. To date, each State has completed an assessment and currently is monitoring prairie dog status; however, for some species, the inconsistency in survey methodology has made it difficult to compare data year-to-year or State-to-State. At the Prairie Dog Conservation Team meeting held in November 2008, there was discussion regarding the use of different methods to survey prairie dogs. A recommendation from this meeting was to convene a panel in a workshop-type forum and have the panel review the different methods being used and provide recommendations for range-wide monitoring protocols for each species of prairie dog. Consequently, the Western

  12. MapReduce based computation of the diffusion method in recommender systems

    Institute of Scientific and Technical Information of China (English)

    彭飞

    2016-01-01

    The performance of existing diffusion-based algorithms in recommender systems is still limited by the processing ability of a single computer .In order to conduct the diffusion computation on large data sets, a parallel implementation of the classic diffusion method on the MapReduce framework is proposed.At first, the diffusion computation is transformed from a summation format to a cascade matrix multiplication format , and then , a parallel matrix multiplication algorithm based on dynamic vector is proposed to reduce the CPU and I/O cost on the MapReduce framework , which can also be applied to other parallel matrix multiplication scenarios .Then, block partitioning is used to further improve the performance , while the order of matrix multiplication is also taken into consideration . Experiments on different kinds of data sets have verified the efficiency of the proposed method .

  13. Principles and recommendations for implementation of design methods in the product development process of companies

    Directory of Open Access Journals (Sweden)

    Marcio Luiz Giacomin

    2017-07-01

    Full Text Available This paper aims to present a study on the implantation of design methods in the Product Development Process (PDP of companies, with the intention of generating a set of decision support principles and recommendations for deployment of these resources in the industry. This study was classified as applied research, as it aims to apply knowledge in industry’s product development. On the approach, it was classified as a qualitative research because it used interviews, document examinations and has a descriptive character. As for the goals, it was classified as exploratory and descriptive, having a practical application. The technical procedures used were literature review, field study and action research. The main result of this research is a group of systematic character propositions that are the foundation to guide the implementation of design methods in the industry, consisting of Selecting the Appropriate method to be implemented in accordance with PDP, Planning the Implantation of the method selected, Applying the Method and control and actions to improve the implementation. The research offers a synthesis of various experiences about the implantation of design methods in the industry, redeeming values of human wisdom that previously had not received great attention.

  14. Automated web usage data mining and recommendation system using K-Nearest Neighbor (KNN classification method

    Directory of Open Access Journals (Sweden)

    D.A. Adeniyi

    2016-01-01

    Full Text Available The major problem of many on-line web sites is the presentation of many choices to the client at a time; this usually results to strenuous and time consuming task in finding the right product or information on the site. In this work, we present a study of automatic web usage data mining and recommendation system based on current user behavior through his/her click stream data on the newly developed Really Simple Syndication (RSS reader website, in order to provide relevant information to the individual without explicitly asking for it. The K-Nearest-Neighbor (KNN classification method has been trained to be used on-line and in Real-Time to identify clients/visitors click stream data, matching it to a particular user group and recommend a tailored browsing option that meet the need of the specific user at a particular time. To achieve this, web users RSS address file was extracted, cleansed, formatted and grouped into meaningful session and data mart was developed. Our result shows that the K-Nearest Neighbor classifier is transparent, consistent, straightforward, simple to understand, high tendency to possess desirable qualities and easy to implement than most other machine learning techniques specifically when there is little or no prior knowledge about data distribution.

  15. [Return on investment for occupational health: review of methods and recommendations].

    Science.gov (United States)

    Rydlewska-Liszkowska, Izabela

    2010-01-01

    The impact of the population health on the national economy, occupational risk factors and economic consequences of workers' behaviors in the workplace are the subject of health economics studies. Conditions and behaviors at work are recognized as one of the major economic factors. These relations are analyzed and evaluated with use of methods that combine economic consequences of working conditions, management and enterprise finances. The methods of assessing this impact are well known but the ability to implement them in practice is still limited. There are two main types of methods: methods for measuring economic relations between the work environment and enterprise management and methods for the economic analysis of investments in the work environment and occupational health. Methods for assessing economic effectiveness of working conditions limited to measurements of costs of absenteeism at work are also used. One of the methodological options in this regard is return on investment (ROI) for occupational health. ROI has been applied in many firms all over the world. Depending on the analytical assumptions and the scope of research, the ROI value ranged between more than 1 and 13. This means that the increase in return on investment for occupational health has been observed. There are examples that the return on invested resources cannot be always obtained. ROI accounting gives employers an opportunity of increasing effectiveness. Evidence of the real value of health investment enables to provide the platform of discussion among managers and other persons responsible for occupational health management. The results of the studies cannot be overestimated as an element of economic incentives system. Based on the review of the methods and results of their implementation some recommendations can be formulated.

  16. Maintenance methods: Development, Trends and Recommendations[M]; Underhaallsmetoder: Utveckling, Trender och Rekommendationer

    Energy Technology Data Exchange (ETDEWEB)

    Ekstroem, Johan; Sonden, Mikael; Haegg, Maria; Johansson, Bernt Aake; Johansson, Mikael; Aagren, Karoline; Gunnarsson, Haakan; Sandin, Paer

    2006-12-15

    Vaermeforsk has an ambition to map the maintenance management area to improve its decision support to plant owners and increase the level of knowledge in the energy sector. Thus, Inspecta Technology, Fortum and Systecon have been given the task to perform a project with the expressed objectives to: describe the general knowledge level in other sectors of the industry and how the use of improvement methods contributes to the plant reliability; illustrate and recommend improvement methods applicable in the energy industry; and to identify further need for development and make priorities. The project is performed in three steps. The first consists of an inventory of existing methods and strategies. The starting point has been the typical problems you face in the maintenance field. It turns out that there are numerous examples of successful approaches used in other sectors of industry. The next step is an enquiry to describe current status in the energy sector. 21 plants were included in this study and it points out a need both for specific analysis methods and more general strategies for maintenance management. The result from both inventory and enquiry forms the base for development of the guide. The guide is structured from the identified problem areas but also from a notional maintenance process. To improve the basis for Vaermeforsk's priorities, a number of possible development areas are proposed, such as the development of standard performance indicators, pilot projects to emphasize the use of analytical methods and in some cases further development of methods for use within the energy sector.

  17. The use of wound healing assessment methods in psychological studies: a review and recommendations.

    Science.gov (United States)

    Koschwanez, Heidi E; Broadbent, Elizabeth

    2011-02-01

    To provide a critical review of methods used to assess human wound healing in psychological research and related disciplines, in order to guide future research into psychological influences on wound healing. Acute wound models (skin blister, tape stripping, skin biopsy, oral palate biopsy, expanded polytetrafluoroethylene tubing), surgical wound healing assessment methods (wound drains, wound scoring), and chronic wound assessment techniques (surface area, volumetric measurements, wound composition, and assessment tools/scoring systems) are summarized, including merits, limitations, and recommendations. Several dermal and mucosal tissue acute wound models have been established to assess the effects of psychological stress on the inflammatory, proliferative, and repair phases of wound healing in humans, including material-based models developed to evaluate factors influencing post-surgical recovery. There is a paucity of research published on psychological factors influencing chronic wound healing. There are many assessment techniques available to study the progression of chronic wound healing but many difficulties inherent to long-term clinical studies. Researchers need to consider several design-related issues when conducting studies into the effects of psychological stress on wound healing, including the study aims, type of wound, tissue type, setting, sample characteristics and accessibility, costs, timeframe, and facilities available. Researchers should consider combining multiple wound assessment methods to increase the reliability and validity of results and to further understand mechanisms that link stress and wound healing. ©2010 The British Psychological Society.

  18. Malaria chemoprophylaxis recommendations for immigrants to Europe, visiting relatives and friends - a Delphi method study

    Directory of Open Access Journals (Sweden)

    Bisoffi Zeno

    2011-05-01

    Full Text Available Abstract Background Numbers of travellers visiting friends and relatives (VFRs from Europe to malaria endemic countries are increasing and include long-term and second generation immigrants, who represent the major burden of malaria cases imported back into Europe. Most recommendations for malaria chemoprophylaxis lack a solid evidence base, and often fail to address the cultural, social and economic needs of VFRs. Methods European travel medicine experts, who are members of TropNetEurop, completed a sequential series of questionnaires according to the Delphi method. This technique aims at evaluating and developing a consensus through repeated iterations of questionnaires. The questionnaires in this study included questions about professional experience with VFRs, controversial issues in malaria prophylaxis, and 16 scenarios exploring indications for prescribing and choice of chemoprophylaxis. Results The experience of participants was rather diverse as was their selection of chemoprophylaxis regimen. A significant consensus was observed in only seven of 16 scenarios. The analysis revealed a wide variation in prescribing choices with preferences grouped by region of practice and increased prescribing seen in Northern Europe compared to Central Europe. Conclusions Improving the evidence base on efficacy, adherence to chemoprophylaxis and risk of malaria and encouraging discussion among experts, using techniques such as the Delphi method, may reduce the variability in prescription in European travel clinics.

  19. Genetic Algorithm and Graph Theory Based Matrix Factorization Method for Online Friend Recommendation

    Directory of Open Access Journals (Sweden)

    Qu Li

    2014-01-01

    Full Text Available Online friend recommendation is a fast developing topic in web mining. In this paper, we used SVD matrix factorization to model user and item feature vector and used stochastic gradient descent to amend parameter and improve accuracy. To tackle cold start problem and data sparsity, we used KNN model to influence user feature vector. At the same time, we used graph theory to partition communities with fairly low time and space complexity. What is more, matrix factorization can combine online and offline recommendation. Experiments showed that the hybrid recommendation algorithm is able to recommend online friends with good accuracy.

  20. Evaluation Of Methods To Measure Hydrogen Generation Rate In A Shielded Cell Environment And A Method Recommendation

    Energy Technology Data Exchange (ETDEWEB)

    Stone, M. E.

    2012-11-07

    The purpose of this document is to describe the current state of the art for determination of hydrogen generation rates of radioactive slurries and solutions to provide a basis for design, fabrication, testing, and implementation of a measurement method for Hydrogen Generation Rate (HGR) during qualification of waste feeds for the Hanford Waste Treatment and Immobilization Plant (WTP). The HGR measurement will be performed on samples of the Low Activity Waste (LAW) and High Level Waste (HLW) staged waste feeds for the WTP as well as on samples from selected unit operations testing during the qualification program. SRNL has performed a review of techniques utilized to measure HGR of high level radioactive waste slurries, evaluated the Hanford 222-S Laboratory method for measurement of hydrogen, and reviewed the hydrogen generation rate models for Hanford waste.Based on the literature review, method evaluation, and SRNL experience with measuring hydrogen generation rate, SRNL recommends that a continuous flow system with online gas analysis be used as the HGR measurement method during waste qualification.

  1. Evaluation Of Methods To Measure Hydrogen Generation Rate In A Shielded Cell Environment And A Method Recommendation

    Energy Technology Data Exchange (ETDEWEB)

    Stone, M. E.

    2012-11-07

    The purpose of this document is to describe the current state of the art for determination of hydrogen generation rates of radioactive slurries and solutions to provide a basis for design, fabrication, testing, and implementation of a measurement method for Hydrogen Generation Rate (HGR) during qualification of waste feeds for the Hanford Waste Treatment and Immobilization Plant (WTP). The HGR measurement will be performed on samples of the Low Activity Waste (LAW) and High Level Waste (HLW) staged waste feeds for the WTP as well as on samples from selected unit operations testing during the qualification program. SRNL has performed a review of techniques utilized to measure HGR of high level radioactive waste slurries, evaluated the Hanford 222-S Laboratory method for measurement of hydrogen, and reviewed the hydrogen generation rate models for Hanford waste.Based on the literature review, method evaluation, and SRNL experience with measuring hydrogen generation rate, SRNL recommends that a continuous flow system with online gas analysis be used as the HGR measurement method during waste qualification.

  2. Building reliable evidence from real-world data: methods, cautiousness and recommendations

    Directory of Open Access Journals (Sweden)

    Giovanni Corrao

    2013-09-01

    Full Text Available Routinely stored information on healthcare utilisation in everyday clinical practice has proliferated over the past several decades. There is, however, some reluctance on the part of many health professionals to use observational data to support healthcare decisions, especially when data are derived from large databases. Challenges in conducting observational studies based on electronic databases include concern about the adequacy of study design and methods to minimise the effect of both misclassifications (in the absence of direct assessments of exposure and outcome validity and confounding (in the absence of randomisation. This paper points out issues that may compromise the validity of such studies, and approaches to managing analytic challenges. First, strategies of sampling within a large cohort, as an alternative to analysing the full cohort, will be presented. Second, methods for controlling outcome and exposure misclassifications will be described. Third, several techniques that take into account both measured and unmeasured confounders will also be presented. Fourth, some considerations regarding random uncertainty in the framework of observational studies using healthcare utilisation data will be discussed. Finally, some recommendations for good research practice are listed in this paper. The aim is to provide researchers with a methodological framework, while commenting on the value of new techniques for more advanced users.

  3. Evaluation of two recommended disinfection methods for cleaning cloths used in food services of southern Brazil.

    Science.gov (United States)

    Bartz, Sabrina; Tondo, Eduardo Cesar

    2013-01-01

    In the State of Rio Grande do Sul (RS), Southern Brazil, a good manufacturing practices regulation was published recommending two disinfection methods for cleaning cloths used in food services. The aim of the present study was to evaluate the efficacy of those methods. Cleaning cloths were sampled without prior notice at food services, on common working days. For the analyses, the cloths were divided in two sub-samples, being one of them microbiologically analyzed. The second sub-sample was further divided in two pieces and submitted to hand washing for two minutes. After that, one piece was boiled in water for 15 min and the other one was soaked in a 200 ppm sodium hypochlorite solution for 15 min. Both pieces of cloth were submitted to microbiological analyses. Cleaning cloths presented total aerobic mean counts of 6.9 ± 6.7 log/cm(2). All cleaning cloths presented coliform contamination, and 40% demonstrated mean counts of 6.2 ± 5.6 log/cm(2). Presumptive S. aureus mean counts of 5.5 ± 4.9 log/cm(2) were found. No statistic correlation was observed among the number of meals served daily in the food services and the microbiological contamination levels. After washing and disinfection, microbiological counts were significantly (p disinfect cleaning cloths used in food services.

  4. A RECOMMENDED PASQUILL-GIFFORD STABILITY CLASSIFICATION METHOD FOR SAFETY BASIS ATMOSPHERIC DISPERSION MODELING AT SRS

    Energy Technology Data Exchange (ETDEWEB)

    Hunter, C.

    2012-03-28

    Several of the most common methods for estimating Pasquill-Gifford (PG) stability (turbulence) class were evaluated for use in modeling the radiological consequences of SRS accidental releases using the MELCOR Accident Consequence Code System, Ver. 2 (MACCS2). Evaluation criteria included: (1) the ability of the method to represent diffusion characteristics above a predominantly forested landscape at SRS, (2) suitability of the method to provide data consistent with the formulation of the MACCS2 model, and (3) the availability of onsite meteorological data to support implementation of the method The evaluation resulted in a recommendation that PG stability classification for regulatory applications at SRS should be based on measurements of the standard deviation of the vertical component of wind direction fluctuations, {sigma}{sub e}, collected from the 61-m level of the SRS meteorological towers, and processed in full accordance with EPA-454/R-99-005 (EPA, 2000). This approach provides a direct measurement that is fundamental to diffusion and captures explicitly the turbulence generated by both mechanical and buoyant forces over the characteristic surface (forested) of SRS. Furthermore, due to the potentially significant enhancement of horizontal fluctuations in wind direction from the occurrence of meander at night, the use of {sigma}{sub e} will ensure a reasonably conservative estimate of PG stability class for use in dispersion models that base diffusion calculations on a single value of PG stability class. Furthermore, meteorological data bases used as input for MACCS2 calculations should contain hourly data for five consecutive annual periods from the most recent 10 years.

  5. Economic Evaluation of Obesity Prevention in Early Childhood: Methods, Limitations and Recommendations

    Science.gov (United States)

    Döring, Nora; Mayer, Susanne; Rasmussen, Finn; Sonntag, Diana

    2016-01-01

    Despite methodological advances in the field of economic evaluations of interventions, economic evaluations of obesity prevention programmes in early childhood are seldom conducted. The aim of the present study was to explore existing methods and applications of economic evaluations, examining their limitations and making recommendations for future cost-effectiveness assessments. A systematic literature search was conducted using PubMed, Cochrane Library, the British National Health Service Economic Evaluation Databases and EconLit. Eligible studies included trial-based or simulation-based cost-effectiveness analyses of obesity prevention programmes targeting preschool children and/or their parents. The quality of included studies was assessed. Of the six studies included, five were intervention studies and one was based on a simulation approach conducted on secondary data. We identified three main conceptual and methodological limitations of their economic evaluations: Insufficient conceptual approach considering the complexity of childhood obesity, inadequate measurement of effects of interventions, and lack of valid instruments to measure child-related quality of life and costs. Despite the need for economic evaluations of obesity prevention programmes in early childhood, only a few studies of varying quality have been conducted. Moreover, due to methodological and conceptual weaknesses, they offer only limited information for policy makers and intervention providers. We elaborate reasons for the limitations of these studies and offer guidance for designing better economic evaluations of early obesity prevention. PMID:27649218

  6. Economic Evaluation of Obesity Prevention in Early Childhood: Methods, Limitations and Recommendations

    Directory of Open Access Journals (Sweden)

    Nora Döring

    2016-09-01

    Full Text Available Despite methodological advances in the field of economic evaluations of interventions, economic evaluations of obesity prevention programmes in early childhood are seldom conducted. The aim of the present study was to explore existing methods and applications of economic evaluations, examining their limitations and making recommendations for future cost-effectiveness assessments. A systematic literature search was conducted using PubMed, Cochrane Library, the British National Health Service Economic Evaluation Databases and EconLit. Eligible studies included trial-based or simulation-based cost-effectiveness analyses of obesity prevention programmes targeting preschool children and/or their parents. The quality of included studies was assessed. Of the six studies included, five were intervention studies and one was based on a simulation approach conducted on secondary data. We identified three main conceptual and methodological limitations of their economic evaluations: Insufficient conceptual approach considering the complexity of childhood obesity, inadequate measurement of effects of interventions, and lack of valid instruments to measure child-related quality of life and costs. Despite the need for economic evaluations of obesity prevention programmes in early childhood, only a few studies of varying quality have been conducted. Moreover, due to methodological and conceptual weaknesses, they offer only limited information for policy makers and intervention providers. We elaborate reasons for the limitations of these studies and offer guidance for designing better economic evaluations of early obesity prevention.

  7. Methods for biogeochemical studies of sea ice: The state of the art, caveats, and recommendations

    Directory of Open Access Journals (Sweden)

    Lisa A. Miller

    2015-01-01

    Full Text Available Abstract Over the past two decades, with recognition that the ocean’s sea-ice cover is neither insensitive to climate change nor a barrier to light and matter, research in sea-ice biogeochemistry has accelerated significantly, bringing together a multi-disciplinary community from a variety of fields. This disciplinary diversity has contributed a wide range of methodological techniques and approaches to sea-ice studies, complicating comparisons of the results and the development of conceptual and numerical models to describe the important biogeochemical processes occurring in sea ice. Almost all chemical elements, compounds, and biogeochemical processes relevant to Earth system science are measured in sea ice, with published methods available for determining biomass, pigments, net community production, primary production, bacterial activity, macronutrients, numerous natural and anthropogenic organic compounds, trace elements, reactive and inert gases, sulfur species, the carbon dioxide system parameters, stable isotopes, and water-ice-atmosphere fluxes of gases, liquids, and solids. For most of these measurements, multiple sampling and processing techniques are available, but to date there has been little intercomparison or intercalibration between methods. In addition, researchers collect different types of ancillary data and document their samples differently, further confounding comparisons between studies. These problems are compounded by the heterogeneity of sea ice, in which even adjacent cores can have dramatically different biogeochemical compositions. We recommend that, in future investigations, researchers design their programs based on nested sampling patterns, collect a core suite of ancillary measurements, and employ a standard approach for sample identification and documentation. In addition, intercalibration exercises are most critically needed for measurements of biomass, primary production, nutrients, dissolved and particulate

  8. Monitoring the Stephen's kangaroo rat: An analysis of monitoring methods and recommendations for future monitoring

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This document covers a series of analyses to explore and summarize previous monitoring efforts of Stephens Kangaroo Rats (SKR) and make recommendations for future...

  9. A modified Delphi method toward multidisciplinary consensus on functional convalescence recommendations after abdominal surgery

    NARCIS (Netherlands)

    Vliet, D.C. van; Meij, E van der; Bouwsma, E.V.; Noordegraaf, A. Vonk; Heuvel, B. van den; Meijerink, W.J.H.J.; Baal, W.M. van; Huirne, J.A.; Anema, J.R.

    2016-01-01

    BACKGROUND: Evidence-based information on the resumption of daily activities following uncomplicated abdominal surgery is scarce and not yet standardized in medical guidelines. As a consequence, convalescence recommendations are generally not provided after surgery, leading to patients' insecurity,

  10. Monitoring the impacts of Ocean Acidification on coral reef bioerosion: challenges, methods, recommendations

    Science.gov (United States)

    Enochs, I.; Manzello, D.; Carlton, R.

    2013-05-01

    Coral reef habitats exist as a dynamic balance between the additive process of calcification and the destructive effects of erosion. A disruption to either the positive or negative side of the coral reef carbonate budget can push a reef system towards rapid collapse. It is well understood that Ocean Acidification (OA) may impair calcification and emerging experimental evidence suggests that it will likely increase the erosive potential of a diverse suite of bioeroding taxa. This may lead to previously unforeseen scenarios where reef framework degradation occurs at a faster pace than that predicted by more simplistic models, resulting from the multifaceted impacts of both slower coral growth and enhanced rates of habitat erosion. As such, it is of paramount importance that monitoring plans tasked with assessing reef resilience to climate change and OA incorporate methods for quantifying bioerosion. This is a complex undertaking as reef ecosystem bioerosion is the result of numerous behaviors, employed by diverse flora and fauna, operating at vastly different scales. Furthermore, these erosive processes are highly variable, dependent on seasonal fluctuations and differing between reef regions, species, individuals, and even the physical characteristics of the substrates acted upon. The strengths and weaknesses of existing bioerosion monitoring methodologies are discussed, ranging from quantification of single species erosion rates to multi-phyletic census-based approaches. Traditional techniques involving the weight change of carbonate blocks are compared alongside more modern methodologies such as micro computed tomography. Finally, recommendations are made for a comprehensive monitoring strategy, incorporating multiple methodologies in a time and cost-effective manner.

  11. Characterization of microcapsules: recommended methods based on round-robin testing.

    Science.gov (United States)

    Rosiński, S; Grigorescu, G; Lewińska, D; Ritzén, L G; Viernstein, H; Teunou, E; Poncelet, D; Zhang, Z; Fan, X; Serp, D; Marison, I; Hunkeler, D

    2002-01-01

    Alginate beads, as well as microcapsules based on alginate, cellulose sulphate and polymethylene-co-guanidine, were produced at diameters of 0.4, 1.0 and 1.5 mm. These standard materials were tested, by independent laboratories, in regards to water activity, bead or capsule size, mechanical resistance and transport behaviour. The water activity and mechanical resistance were observed to increase with bead and capsule size. Transport properties (ingress) were assessed using a variety of low molar mass and macromolecular probes. It was observed that the penetration of Vitamin B12 increased with bead diameter, as did dextran penetration. However, for the membrane-containing microcapsules, larger membrane thickness, observed for the larger capsules, retarded ingress. The authors, who are part of a European working group, recommend that permeability be assessed either using a large range of probes or a broad molar mass standard, with measurements at one or two molar masses insufficient to simulate the behaviour in application. Mechanical compression is seen as a good means to estimate elasticity and rupture of beads and capsules, with the sensitivity of the force transducer, which can vary from microN to tens of N, required to be tuned to the anticipated bead or capsule strength. Overall, with the exception of the mechanical properties, the precision in the inter-laboratory testing was good. Furthermore, the various methods of assessing transport properties agreed, in ranking, for the beads and capsules characterized, with gels having smaller radii being less permeable. For microcapsules, the permeation across the membrane dominates the ingress, and thicker membranes have lower permeability.

  12. Methods of overcoming the school bullying: practical recommendations of the psychologist

    Directory of Open Access Journals (Sweden)

    Siniukova E. M.

    2013-03-01

    Full Text Available This article is devoted to a problem of school bulling in the modern education system. The author opens the reasons and consequences of this negative social and psychological phenomenon, represents as an offender`s (bull and also a victim`s psychological lines. The practical recommendations submitted on minimization of the school bulling are offered in the article.

  13. Malaria chemoprophylaxis recommendations for immigrants to Europe, visiting relatives and friends - a Delphi method study

    NARCIS (Netherlands)

    Calleri, G.; Behrens, R.H.; Schmid, M.L.; Gobbi, F.; Grobusch, M.P.; Castelli, F.; Gascon, J.; Bisoffi, Z.; Jelinek, T.; Caramello, P.

    2011-01-01

    Background: Numbers of travellers visiting friends and relatives (VFRs) from Europe to malaria endemic countries are increasing and include long-term and second generation immigrants, who represent the major burden of malaria cases imported back into Europe. Most recommendations for malaria chemopro

  14. Development methods of guidelines and documents with recommendations on physical restraint reduction in nursing homes: a systematic review.

    Science.gov (United States)

    Möhler, Ralph; Meyer, Gabriele

    2015-11-21

    Physical restraint, e.g. bedrails or belts in beds or chairs, are commonly used in nursing homes. However, there have been reports of pronounced differences in the prevalence between different facilities. Guidelines or other documents with recommendations for clinical practice are one approach to overcome centre variation and improve the quality of care. Rigorous development methods are deemed to ensure the validity, clarity and clinical applicability of practice recommendations. This study aims at describing the development methods of documents offering recommendations on physical restraint reduction in geriatric long-term care. We performed a systematic search (February 2014) in electronic databases (PubMed, CINAHL, Gerolit, Carelit), the World Wide Web (via google.de) and on the homepages of 34 international scientific or healthcare organisations, using various terms related to documents offering guidance for clinical practice and physical restraints. All German and English language documents with recommendations for clinical practice aimed at reducing physical restraints' in nursing homes were included. Documents targeting mental health or acute care settings were excluded. Two reviewers independently selected the documents and extracted data, using a self-developed and piloted data extraction form. We identified 28 documents from Germany, USA, Australia, Switzerland, Canada and UK, published between 2002 and 2014. The documents were developed or published by governmental organisations, nursing or healthcare organisations, non-profit organisation, research institutions and private organisations. Two documents were developed mono-disciplinary (nursing) and eight documents interdisciplinary (including different healthcare professionals, lawyers or other stakeholders). In 18 documents the composition of the development group was not described. Two documents described the methods used for developing the recommendations. In both documents, the recommendations were

  15. Assessment of surface geophysical methods in geothermal exploration and recommendations for future research

    Energy Technology Data Exchange (ETDEWEB)

    Goldstein, N.E.; Norris, R.A.; Wilt, M.J.

    1978-01-01

    The four classes of geophysical methods considered are: passive seismic methods; active seismic methods; natural field electrical and electromagnetic methods; and, controlled-source electrical and electromagnetic methods. Areas of rsearch for improvement of the various techniques for geothermal exploration are identified. (JGB)

  16. Reporting of missing data and methods used to accommodate them in recent analgesic clinical trials: ACTTION systematic review and recommendations.

    Science.gov (United States)

    Gewandter, Jennifer S; McDermott, Michael P; McKeown, Andrew; Smith, Shannon M; Williams, Mark R; Hunsinger, Matthew; Farrar, John; Turk, Dennis C; Dworkin, Robert H

    2014-09-01

    Missing data in clinical trials can bias estimates of treatment effects. Statisticians and government agencies recommend making every effort to minimize missing data. Although statistical methods are available to accommodate missing data, their validity depends on often untestable assumptions about why the data are missing. The objective of this study was to assess the frequency with which randomized clinical trials published in 3 major pain journals (ie, European Journal of Pain, Journal of Pain, and Pain) reported strategies to prevent missing data, the number of participants who completed the study (ie, completers), and statistical methods to accommodate missing data. A total of 161 randomized clinical trials investigating treatments for pain, published between 2006 and 2012, were included. Approximately two-thirds of the trials reported at least 1 method that could potentially minimize missing data, the most common being allowance of concomitant medications. Only 61% of the articles explicitly reported the number of patients who were randomized and completed the trial. Although only 14 articles reported that all randomized participants completed the study, fewer than 50% of the articles reported a statistical method to accommodate missing data. Last observation carried forward imputation was used most commonly (42%). Thirteen articles reported more than 1 method to accommodate missing data; however, the majority of methods, including last observation carried forward, were not methods currently recommended by statisticians. Authors, reviewers, and editors should prioritize proper reporting of missing data and appropriate use of methods to accommodate them so as to improve the deficiencies identified in this systematic review.

  17. Methods for culturing retinal pigment epithelial cells: a review of current protocols and future recommendations

    Directory of Open Access Journals (Sweden)

    Aaron H Fronk

    2016-07-01

    Full Text Available The retinal pigment epithelium is an important part of the vertebrate eye, particularly in studying the causes and possible treatment of age-related macular degeneration. The retinal pigment epithelium is difficult to access in vivo due to its location at the back of the eye, making experimentation with age-related macular degeneration treatments problematic. An alternative to in vivo experimentation is cultivating the retinal pigment epithelium in vitro, a practice that has been going on since the 1970s, providing a wide range of retinal pigment epithelial culture protocols, each producing cells and tissue of varying degrees of similarity to natural retinal pigment epithelium. The purpose of this review is to provide researchers with a ready list of retinal pigment epithelial protocols, their effects on cultured tissue, and their specific possible applications. Protocols using human and animal retinal pigment epithelium cells, derived from tissue or cell lines, are discussed, and recommendations for future researchers included.

  18. Trial-based economic evaluations in occupational health: principles, methods, and recommendations.

    Science.gov (United States)

    van Dongen, Johanna M; van Wier, Marieke F; Tompa, Emile; Bongers, Paulien M; van der Beek, Allard J; van Tulder, Maurits W; Bosmans, Judith E

    2014-06-01

    To allocate available resources as efficiently as possible, decision makers need information on the relative economic merits of occupational health and safety (OHS) interventions. Economic evaluations can provide this information by comparing the costs and consequences of alternatives. Nevertheless, only a few of the studies that consider the effectiveness of OHS interventions take the extra step of considering their resource implications. Moreover, the methodological quality of those that do is generally poor. Therefore, this study aims to help occupational health researchers conduct high-quality trial-based economic evaluations by discussing the theory and methodology that underlie them, and by providing recommendations for good practice regarding their design, analysis, and reporting. This study also helps consumers of this literature with understanding and critically appraising trial-based economic evaluations of OHS interventions.

  19. Electromyography normalization methods for high-velocity muscle actions: review and recommendations.

    Science.gov (United States)

    Ball, Nick; Scurr, Joanna

    2013-10-01

    Electromyograms used to assess neuromuscular demand during high-velocity tasks require normalization to aid interpretation. This paper posits that, to date, methodological approaches to normalization have been ineffective and have limited the application of electromyography (EMG). There is minimal investigation seeking alternative normalization methods, which must be corrected to improve EMG application in sports. It is recognized that differing normalization methods will prevent cross-study comparisons. Users of EMG should aim to identify normalization methods that provide good reliability and a representative measure of muscle activation. The shortcomings of current normalization methods in high-velocity muscle actions assessment are evident. Advances in assessing alternate normalization methods have been done in cycling and sprinting. It is advised that when normalizing high-intensity muscle actions, isometric methods are used with caution and a dynamic alternative, where the muscle action is similar to that of the task is preferred. It is recognized that optimal normalization methods may be muscle and task dependent.

  20. Mixed-methods research in pharmacy practice: recommendations for quality reporting. Part 2.

    Science.gov (United States)

    Hadi, Muhammad Abdul; Alldred, David Phillip; Closs, S José; Briggs, Michelle

    2014-02-01

    This is the second of two papers that explore the use of mixed-methods research in pharmacy practice. This paper discusses the rationale, applications, limitations and challenges of conducting mixed-methods research. As with other research methods, the choice of mixed-methods should always be justified because not all research questions require a mixed-methods approach. Mixed-methods research is particularly suitable when one dataset may be inadequate in answering the research question, an explanation of initial results is required, generalizability of qualitative findings is desired or broader and deeper understanding of a research problem is necessary. Mixed-methods research has its own challenges and limitations, which should be considered carefully while designing the study. There is a need to improve the quality of reporting of mixed-methods research. A framework for reporting mixed-methods research is proposed, for researchers and reviewers, with the intention of improving its quality. Pharmacy practice research can benefit from research that uses both 'numbers' (quantitative) and 'words' (qualitative) to develop a strong evidence base to support pharmacy-led services. © 2013 Royal Pharmaceutical Society.

  1. Methods for Practising Ethics in Research and Innovation: A Literature Review, Critical Analysis and Recommendations.

    Science.gov (United States)

    Reijers, Wessel; Wright, David; Brey, Philip; Weber, Karsten; Rodrigues, Rowena; O'Sullivan, Declan; Gordijn, Bert

    2017-09-12

    This paper provides a systematic literature review, analysis and discussion of methods that are proposed to practise ethics in research and innovation (R&I). Ethical considerations concerning the impacts of R&I are increasingly important, due to the quickening pace of technological innovation and the ubiquitous use of the outcomes of R&I processes in society. For this reason, several methods for practising ethics have been developed in different fields of R&I. The paper first of all presents a systematic search of academic sources that present and discuss such methods. Secondly, it provides a categorisation of these methods according to three main kinds: (1) ex ante methods, dealing with emerging technologies, (2) intra methods, dealing with technology design, and (3) ex post methods, dealing with ethical analysis of existing technologies. Thirdly, it discusses the methods by considering problems in the way they deal with the uncertainty of technological change, ethical technology design, the identification, analysis and resolving of ethical impacts of technologies and stakeholder participation. The results and discussion of our literature review are valuable for gaining an overview of the state of the art and serve as an outline of a future research agenda of methods for practising ethics in R&I.

  2. Recommendations for Using the Case Study Method in International Business Research

    Science.gov (United States)

    Vissak, Tiia

    2010-01-01

    The case study method has not been as frequently used in international business (IB) research as quantitative methods. Moreover, it has been sometimes misused and quite often criticized. Still, it can be very useful for understanding such complex phenomena as the internationalization process or the management of multinational enterprises. Based on…

  3. Methods to Determine Recommended Feeder-Wide Advanced Inverter Settings for Improving Distribution System Performance

    Energy Technology Data Exchange (ETDEWEB)

    Rylander, Matthew; Reno, Matthew J.; Quiroz, Jimmy E.; Ding, Fei; Li, Huijuan; Broderick, Robert J.; Mather, Barry; Smith, Jeff

    2016-11-21

    This paper describes methods that a distribution engineer could use to determine advanced inverter settings to improve distribution system performance. These settings are for fixed power factor, volt-var, and volt-watt functionality. Depending on the level of detail that is desired, different methods are proposed to determine single settings applicable for all advanced inverters on a feeder or unique settings for each individual inverter. Seven distinctly different utility distribution feeders are analyzed to simulate the potential benefit in terms of hosting capacity, system losses, and reactive power attained with each method to determine the advanced inverter settings.

  4. Recommended method for measurement of absorbency of superabsorbent polymers in cement-based materials

    DEFF Research Database (Denmark)

    Esteves, Luis Pedro

    2015-01-01

    —laser diffraction particle size analysis, and it allows an easy and reliable measurement of the absorbency of superabsorbent polymers. It is shown in detail how both the definition of the exposure liquid and the definition of the system of SAP particles can be selected so that absorbency can be experimentally...... of superabsorbent polymers in cementitious environments is well determined. It is vital that a generalized agreement over which method should be utilized with this regard is obtained, so large-scale industrial applications can be developed with sufficient quality and safeguards. There ought to be a standard method...... so that the properties of concrete with superabsorbent polymers can be better controlled in practice. In this paper, a technique that can be potentially used as a standard method is developed. The method is based on a measurement technique validated through an international standard procedure...

  5. The role of validated analytical methods in JECFA drug assessments and evaluation for recommending MRLs.

    Science.gov (United States)

    Boison, Joe O

    2016-05-01

    The Joint Food and Agriculture Organization and World Health Organization (FAO/WHO) Expert Committee on Food Additives (JECFA) is one of three Codex committees tasked with applying risk analysis and relying on independent scientific advice provided by expert bodies organized by FAO/WHO when developing standards. While not officially part of the Codex Alimentarius Commission structure, JECFA provides independent scientific advice to the Commission and its specialist committees such as the Codex Committee on Residues of Veterinary Drugs in Foods (CCRVDF) in setting maximum residue limits (MRLs) for veterinary drugs. Codex methods of analysis (Types I, II, III, and IV) are defined in the Codex Procedural Manual as are criteria to be used for selecting methods of analysis. However, if a method is to be used under a single laboratory condition to support regulatory work, it must be validated according to an internationally recognized protocol and the use of the method must be embedded in a quality assurance system in compliance with ISO/IEC 17025:2005. This paper examines the attributes of the methods used to generate residue depletion data for drug registration and/or licensing and for supporting regulatory enforcement initiatives that experts consider to be useful and appropriate in their assessment of methods of analysis. Copyright © 2016 Her Majesty the Queen in Right of Canada. Drug Testing and Analysis © 2016 John Wiley & Sons, Ltd.

  6. Determination of Starch, Including Maltooligosaccharides, in Animal Feeds: Comparison of Methods and a Method Recommended for AOAC Collaborative Study

    Science.gov (United States)

    Discontinued production of the enzyme, Rhozyme-S, (required for AOAC method 14.075) invalidated this method for starch in animal feeds and necessitated a search for another assay. Although many starch methods are available, they vary in accuracy, replicability, and ease of use. Five enzymatic-colo...

  7. Analytical characterization of cyclodextrins: History, official methods and recommended new techniques.

    Science.gov (United States)

    Szente, Lajos; Szemán, Julianna; Sohajda, Tamás

    2016-10-25

    The main goal of this review is to provide a comprehensive overview on the methods used for analysis of cyclodextrins (CDs) and CD-derivatives. The paper intends to act as a guide for the readers in looking around the classical and modern instrumental analytical methods suitable for identification, characterization and determination of CDs themselves, CDs in finished products or even in biological samples. At present, in the European and United States Pharmacopoeias, the three parent CDs and two synthetic derivatives, namely the (2-hydroxypropyl)-beta-CD and sulfobutylether-beta-CD Na salt are official. Besides these modified CDs, two other derivatives are approved as excipients in human pharmaceutical products: the (2-hydroxypropyl)-gamma-CD and the randomly methylated-beta-CD. Although most of the official analysis methods in the pharmacopoeias have been well used for decades, new aspects of the functional excipient CD characterization suggest a need to revisit compendial methods. Comparison of strengths and weaknesses of current official methods with new improved techniques intends to help analysts to decide on changing traditional analytical methods with improved new ones. This review also deals with the analytical aspects of the first single isomer CD derivative approved as a drug active (Sugammadex/Bridion(®)) as well as analytical considerations of using CDs themselves as active pharmaceutical ingredients. Stability-indicating instrumental methods suitable to adequately follow chemical- and enzymatic degradation of CDs will also be discussed. Challenges in the determination of CDs in different biological matrices will be illustrated on real pharmaco- and toxicokinetic studies of CD-enabled drug formulations.

  8. Effective teaching strategies and methods of delivery for patient education: a systematic review and practice guideline recommendations.

    Science.gov (United States)

    Friedman, Audrey Jusko; Cosby, Roxanne; Boyko, Susan; Hatton-Bauer, Jane; Turnbull, Gale

    2011-03-01

    The objective of this study was to determine effective teaching strategies and methods of delivery for patient education (PE). A systematic review was conducted and reviews with or without meta-analyses, which examined teaching strategies and methods of delivery for PE, were included. Teaching strategies identified are traditional lectures, discussions, simulated games, computer technology, written material, audiovisual sources, verbal recall, demonstration, and role playing. Methods of delivery focused on how to deliver the teaching strategies. Teaching strategies that increased knowledge, decreased anxiety, and increased satisfaction included computer technology, audio and videotapes, written materials, and demonstrations. Various teaching strategies used in combination were similarly successful. Moreover, structured-, culturally appropriate- and patient-specific teachings were found to be better than ad hoc teaching or generalized teaching. Findings provide guidance for establishing provincial standards for the delivery of PE. Recommendations concerning the efficacy of the teaching strategies and delivery methods are provided.

  9. HER2 testing in the UK: recommendations for breast and gastric in-situ hybridisation methods

    LENUS (Irish Health Repository)

    Bartlett, J. M. S.

    2011-01-01

    These guidelines supplement existing guidelines on HER2 testing by immunohistochemistry and in-situ hybridisation(ISH) methods in the UK. They provide a specific focus on aspects of guidance relevant to HER2 ISH testing methods, both fluorescent and chromogenic. They are formulated to give advice on methodology, interpretation and quality control for ISH-based testing of HER2 status in common tumour types, including both breast and gastric tumours. The aim is to ensure that all ISH-based testing is accurate, reliable and timely.

  10. 76 FR 10591 - Notice of Availability; Recommended Use of Body Weight3∕4 as the Default Method in Derivation of...

    Science.gov (United States)

    2011-02-25

    ... AGENCY Notice of Availability; Recommended Use of Body Weight as the Default Method in Derivation of the... Method in Derivation of the Oral Reference Dose'' (referred to hereafter as BW 3/4 ). This document was... derivation of the human equivalent dose is recommended as the default approach for RfDs for remote, as...

  11. Acoustic Treatment Design Scaling Methods. Volume 1; Overview, Results, and Recommendations

    Science.gov (United States)

    Kraft, R. E.; Yu, J.

    1999-01-01

    Scale model fan rigs that simulate new generation ultra-high-bypass engines at about 1/5-scale are achieving increased importance as development vehicles for the design of low-noise aircraft engines. Testing at small scale allows the tests to be performed in existing anechoic wind tunnels, which provides an accurate simulation of the important effects of aircraft forward motion on the noise generation. The ability to design, build, and test miniaturized acoustic treatment panels on scale model fan rigs representative of the fullscale engine provides not only a cost-savings, but an opportunity to optimize the treatment by allowing tests of different designs. The primary objective of this study was to develop methods that will allow scale model fan rigs to be successfully used as acoustic treatment design tools. The study focuses on finding methods to extend the upper limit of the frequency range of impedance prediction models and acoustic impedance measurement methods for subscale treatment liner designs, and confirm the predictions by correlation with measured data. This phase of the program had as a goal doubling the upper limit of impedance measurement from 6 kHz to 12 kHz. The program utilizes combined analytical and experimental methods to achieve the objectives.

  12. Ecotoxicity test methods for engineered nanomaterials: practical experiences and recommendations from the bench

    NARCIS (Netherlands)

    Handy, R.; Cornelis, G.; Fernandes, T.; Tsyusko, O.; Decho, A.; Sabo-Attwood, T.; Metcalfe, C.; Steevens, J.A.; Klaine, S.J.; Koelmans, A.A.; Horne, N.

    2012-01-01

    Ecotoxicology research is using many methods for engineered nanomaterials (ENMs), but the collective experience from researchers has not been documented. This paper reports the practical issues for working with ENMs and suggests nano-specific modifications to protocols. The review considers generic

  13. Test methods for on-site measurement of resistivity of concrete: a RILEM TC-154 Technical recommendation

    Energy Technology Data Exchange (ETDEWEB)

    Polder, R. B. [TNO Building and Construction Research (Netherlands)

    2000-07-01

    Based on a first draft of a RILEM Technical Recommendation, this paper describes methods to assess concrete resistivity on site for purposes of corrosion and protection of reinforcement. The theoretical background of concrete resistivity, a geometry-dependent material property that describes the electrical resistance, is explained. Various arrangements that can be used to measure electrical resistivity non-destructively are described, and their practical aspects are discussed. Procedures for calibration are proposed and guidelines for the interpretation of results and reference values for various exposures and concrete compositions are given. 29 refs., 1 tab., 4 figs.

  14. Use of the self-controlled case-series method in vaccine safety studies: review and recommendations for best practice.

    Science.gov (United States)

    Weldeselassie, Y G; Whitaker, H J; Farrington, C P

    2011-12-01

    The self-controlled case-series method was originally developed to investigate potential associations between vaccines and adverse events, and is now commonly used for this purpose. This study reviews applications of the method to vaccine safety investigations in the period 1995-2010. In total, 40 studies were reviewed. The application of the self-controlled case-series method in these studies is critically examined, with particular reference to the definition of observation and risk periods, control of confounders, assumptions and potential biases, methodological and presentation issues, power and sample size, and software. Comparisons with other study designs undertaken in the papers reviewed are also highlighted. Some recommendations are presented, with the emphasis on promoting good practice.

  15. Recommendation for a Standardised Method of Broth Microdilution Susceptibility Testing for Porcine Bordetella bronchiseptica.

    Directory of Open Access Journals (Sweden)

    Sandra Prüller

    Full Text Available The objective was to establish and standardise a broth microdilution susceptibility testing method for porcine Bordetella (B. bronchiseptica. B. bronchiseptica isolates from different geographical regions and farms were genotyped by macrorestriction analysis and subsequent pulsed-field gel electrophoresis. One reference and one type strain plus two field isolates of B. bronchiseptica were chosen to analyse growth curves in four different media: cation-adjusted Mueller-Hinton broth (CAMHB with and without 2% lysed horse blood, Brain-Heart-Infusion (BHI, and Caso broth. The growth rate of each test strain in each medium was determined by culture enumeration and the suitability of CAMHB was confirmed by comparative statistical analysis. Thereafter, reference and type strain and eight epidemiologically unrelated field isolates of B. bronchiseptica were used to test the suitability of a broth microdilution susceptibility testing method following CLSI-approved performance standards given in document VET01-A4. Susceptibility tests, using 20 antimicrobial agents, were performed in five replicates, and data were collected after 20 and 24 hours incubation and statistically analysed. Due to the low growth rate of B. bronchiseptica, an incubation time of 24 hours resulted in significantly more homogeneous minimum inhibitory concentrations after five replications compared to a 20-hour incubation. An interlaboratory comparison trial including susceptibility testing of 24 antimicrobial agents revealed a high mean level of reproducibility (97.9% of the modified method. Hence, in a harmonization for broth microdilution susceptibility testing of B. bronchiseptica, an incubation time of 24 hours in CAMHB medium with an incubation temperature of 35°C and an inoculum concentration of approximately 5 x 10(5 cfu/ml was proposed.

  16. Relation between the national handbook of recommended methods for water data acquisition and ASTM standards

    Science.gov (United States)

    Glysson, G. Douglas; Skinner, John V.

    1991-01-01

    In the late 1950's, intense demands for water and growing concerns about declines in the quality of water generated the need for more water-resources data. About thirty Federal agencies, hundreds of State, county and local agencies, and many private organizations had been collecting water data. However, because of differences in procedures and equipment, many of the data bases were incompatible. In 1964, as a step toward establishing more uniformity, the Bureau of the Budget (now the Office of Management and Budget, OMB) issued 'Circular A-67' which presented guidelines for collecting water data and also served as a catalyst for creating the Office of Water Data Coordination (OWDC) within the U.S. Geological Survey. This paper discusses past, present, and future aspects of the relation between methods in the National Handbook and standards published by ASTM (American Society for Testing and Materials) Committee D-19 on Water's Subcommittee D-19.07 on Sediment, Geomorphology, and Open Channel Flow. The discussion also covers historical aspects of standards - development work jointly conducted by OWDC and ASTM.

  17. Report and recommendations of the international workshop "Retrieval approaches for information on alternative methods to animal experiments".

    Science.gov (United States)

    Grune, Barbara; Fallon, Michael; Howard, Carol; Hudson, Vera; Kulpa-Eddy, Jodie A; Larson, Jean; Leary, Sue; Roi, Annett; van der Valk, Jan; Wood, Mary; Dörendahl, Antje; Köhler-Hahn, Dorothea; Box, Rainer; Spielmann, Horst

    2004-01-01

    In the member states of the EU and in the USA, scientists are obliged by animal welfare legislation not to conduct an animal experiment if another scientifically satisfactory method is reasonably and practicably available. To meet the regulatory obligation to use alternatives to animal experiments, scientists should consult literature and other relevant sources on alternatives prior to any experimental study on laboratory animals. It is the responsibility of the individual scientist to select the most appropriate database to obtain information on alternatives, which have been defined as methods that refine, reduce or replace animal experiments (the 3 Rs concept of Russell and Burch (1959)). Specialised information services provide support to scientists searching for publications on alternative methods. On occasion of a workshop in Berlin in November 2003, representatives of animal welfare information centres discussed currently available information sources on alternative methods, index terms for alternative methods, and search strategies based on index terms for alternative methods. ZEBET presented an investigation on the current status of indexing systems on alternative methods in established literature databases. The project analysed how the results of a search for publications on alternatives was influenced by the indexing procedure. The results of the study were exemplified by a typical search result. The results of the study indicated that the current indexing systems do not provide the required information, since not all of the relevant information is indexed under "alternative methods". The workshop participants developed recommendations for ad hoc working groups and research projects, e.g. development of suitable search strategies on alternative methods for scientists.

  18. Updates of CORESTA Recommended Methods after Further Collaborative Studies Carried Out under Both ISO and Health Canada Intense Smoking Regimes

    Directory of Open Access Journals (Sweden)

    Purkis SW

    2014-12-01

    Full Text Available During 2012, three CORESTA Recommended Methods (CRMs (1-3 were updated to include smoke yield and variability data under both ISO (4 and the Canadian Intense (CI (5 smoking regimes. At that time, repeatability and reproducibility data under the CI regime on smoke analytes other than “tar”, nicotine and carbon monoxide (6 and tobacco-specific nitrosamines (TSNAs (7 were not available in the public literature. The subsequent work involved the determination of the mainstream smoke yields of benzo[a]-pyrene, selected volatiles (benzene, toluene, 1,3-butadiene, isoprene, acrylonitrile, and selected carbonyls (acetaldehyde, formaldehyde, propionaldehyde, butyraldehyde, crotonaldehyde, acrolein, acetone and 2-butanone in ten cigarette products followed by statistical analyses according to the ISO protocol (8. This paper provides some additional perspective on the data variability under the ISO and CI smoking regimes not given in the CRMs.

  19. Preincubation of serum aspartate aminotransferase with pyridoxal 5'-phosphate in the SMAC: comparison with revised DuPont aca method and recommended IFCC method.

    Science.gov (United States)

    Garber, C C; Feldbruegge, D H; Hoessel, M

    1981-04-01

    The method for continuous-flow assay of aspartate aminotransferase with the Technicon SMAC was modified to include preincubation of the serum enzyme with pyridoxal 5'-phosphate, to be consistent with the recommendations of IFCC and the Standards Committee of AACC. Preliminary estimates of the imprecision of the modified method on SMAC gave day-to-day standard deviations of 5.3 U/L at mean of 48 U/L (n = 66) and 6.2 U/L at 155 U/L (n = 61). Added bilirubin, sodium pyruvate, ascorbic acid, and endogenous lipids did not interfere. Comparison of results for 50 samples by this method with those by the manual IFCC method gave y = 1.1113x - 0.3 U/L, Sy/x = 4.4 U/L, and r = 0.997. Similar data are presented for the revised AST method for the DuPont aca discrete analyzer. Clinical data show that AST activities increase by as much as 200% when the serum is preincubated with pyridoxal 5'-phosphate.

  20. How to translate therapeutic recommendations in clinical practice guidelines into rules for critiquing physician prescriptions? Methods and application to five guidelines.

    Science.gov (United States)

    Lamy, Jean-Baptiste; Ebrahiminia, Vahid; Riou, Christine; Seroussi, Brigitte; Bouaud, Jacques; Simon, Christian; Dubois, Stéphane; Butti, Antoine; Simon, Gérard; Favre, Madeleine; Falcoff, Hector; Venot, Alain

    2010-05-28

    Clinical practice guidelines give recommendations about what to do in various medical situations, including therapeutical recommendations for drug prescription. An effective way to computerize these recommendations is to design critiquing decision support systems, i.e. systems that criticize the physician's prescription when it does not conform to the guidelines. These systems are commonly based on a list of "if conditions then criticism" rules. However, writing these rules from the guidelines is not a trivial task. The objective of this article is to propose methods that (1) simplify the implementation of guidelines' therapeutical recommendations in critiquing systems by automatically translating structured therapeutical recommendations into a list of "if conditions then criticize" rules, and (2) can generate an appropriate textual label to explain to the physician why his/her prescription is not recommended. We worked on the therapeutic recommendations in five clinical practice guidelines concerning chronic diseases related to the management of cardiovascular risk. We evaluated the system using a test base of more than 2000 cases. Algorithms for automatically translating therapeutical recommendations into "if conditions then criticize" rules are presented. Eight generic recommendations are also proposed; they are guideline-independent, and can be used as default behaviour for handling various situations that are usually implicit in the guidelines, such as decreasing the dose of a poorly tolerated drug. Finally, we provide models and methods for generating a human-readable textual critique. The system was successfully evaluated on the test base. We show that it is possible to criticize physicians' prescriptions starting from a structured clinical guideline, and to provide clear explanations. We are now planning a randomized clinical trial to evaluate the impact of the system on practices.

  1. Recommender Systems

    CERN Document Server

    Lü, Linyuan; Yeung, Chi Ho; Zhang, Yi-Cheng; Zhang, Zi-Ke; Zhou, Tao

    2012-01-01

    The ongoing rapid expansion of the Internet greatly increases the necessity of effective recommender systems for filtering the abundant information. Extensive research for recommender systems is conducted by a broad range of communities including social and computer scientists, physicists, and interdisciplinary researchers. Despite substantial theoretical and practical achievements, unification and comparison of different approaches are lacking, which impedes further advances. In this article, we review recent developments in recommender systems and discuss the major challenges. We compare and evaluate available algorithms and examine their roles in the future developments. In addition to algorithms, physical aspects are described to illustrate macroscopic behavior of recommender systems. Potential impacts and future directions are discussed. We emphasize that recommendation has a great scientific depth and combines diverse research fields which makes it of interests for physicists as well as interdisciplinar...

  2. Using Social Judgment Theory method to examine how experienced occupational therapy driver assessors use information to make fitness-to-drive recommendations

    Science.gov (United States)

    Harries, Priscilla; Davies, Miranda

    2015-01-01

    Introduction As people with a range of disabilities strive to increase their community mobility, occupational therapy driver assessors are increasingly required to make complex recommendations regarding fitness-to-drive. However, very little is known about how therapists use information to make decisions. The aim of this study was to model how experienced occupational therapy driver assessors weight and combine information when making fitness-to-drive recommendations and establish their level of decision agreement. Method Using Social Judgment Theory method, this study examined how 45 experienced occupational therapy driver assessors from the UK, Australia and New Zealand made fitness-to-drive recommendations for a series of 64 case scenarios. Participants completed the task on a dedicated website, and data were analysed using discriminant function analysis and an intraclass correlation coefficient. Results Accounting for 87% of the variance, the cues central to the fitness-to-drive recommendations made by assessors are the client’s physical skills, cognitive and perceptual skills, road law craft skills, vehicle handling skills and the number of driving instructor interventions. Agreement (consensus) between fitness-to-drive recommendations was very high: intraclass correlation coefficient = .97, 95% confidence interval .96–.98). Conclusion Findings can be used by both experienced and novice driver assessors to reflect on and strengthen the fitness-to-drive recommendations made to clients. PMID:26435572

  3. A time-aware hyperlink-induced topic search-based reputation evaluation method for optimal manufacturing service recommendation in distributed peer-to-peer networks

    Directory of Open Access Journals (Sweden)

    Shuai Zhang

    2017-03-01

    Full Text Available With the explosive growth of manufacturing services on a global scale, it has become an enormous challenge to recommend optimal manufacturing service in distributed manufacturing environments. Reputation evaluation is a key step to make optimal manufacturing service recommendation. However, the reputation values calculated through conventional reputation evaluation methods are static and local, and have a severe impact on the effectiveness of manufacturing service recommendation. This article presents a novel and effective reputation evaluation method for optimal manufacturing service recommendation in distributed peer-to-peer networks. The main contribution of the proposed approach is that it makes it possible to calculate the global and dynamic reputation values of enterprises by employing a time-aware hyperlink-induced topic search algorithm. This algorithm not only disseminates the reputation value of transaction enterprises, but also takes account of the temporal dimension in the process of computing reputation values. A concrete example demonstrates the feasibility of calculating reputation values of the proposed method, and an evaluation experiment reveals that both of recall rate and precision rate are improved, employing our proposed method for recommending manufacturing service.

  4. A statistical method to base nutrient recommendations on meta-analysis of intake and health-related status biomarkers.

    Directory of Open Access Journals (Sweden)

    Hilko van der Voet

    Full Text Available Nutrient recommendations in use today are often derived from relatively old data of few studies with few individuals. However, for many nutrients, including vitamin B-12, extensive data have now become available from both observational studies and randomized controlled trials, addressing the relation between intake and health-related status biomarkers. The purpose of this article is to provide new methodology for dietary planning based on dose-response data and meta-analysis. The methodology builds on existing work, and is consistent with current methodology and measurement error models for dietary assessment. The detailed purposes of this paper are twofold. Firstly, to define a Population Nutrient Level (PNL for dietary planning in groups. Secondly, to show how data from different sources can be combined in an extended meta-analysis of intake-status datasets for estimating PNL as well as other nutrient intake values, such as the Average Nutrient Requirement (ANR and the Individual Nutrient Level (INL. For this, a computational method is presented for comparing a bivariate lognormal distribution to a health criterion value. Procedures to meta-analyse available data in different ways are described. Example calculations on vitamin B-12 requirements were made for four models, assuming different ways of estimating the dose-response relation, and different values of the health criterion. Resulting estimates of ANRs and less so for INLs were found to be sensitive to model assumptions, whereas estimates of PNLs were much less sensitive to these assumptions as they were closer to the average nutrient intake in the available data.

  5. MORECare research methods guidance development: recommendations for ethical issues in palliative and end-of-life care research.

    Science.gov (United States)

    Gysels, Marjolein; Evans, Catherine J; Lewis, Penney; Speck, Peter; Benalia, Hamid; Preston, Nancy J; Grande, Gunn E; Short, Vicky; Owen-Jones, Eleanor; Todd, Chris J; Higginson, Irene J

    2013-12-01

    There is little guidance on the particular ethical concerns that research raises with a palliative care population. To present the process and outcomes of a workshop and consensus exercise on agreed best practice to accommodate ethical issues in research on palliative care. Consultation workshop using the MORECare Transparent Expert Consultation approach. Prior to workshops, participants were sent overviews of ethical issues in palliative care. Following the workshop, nominal group techniques were used to produce candidate recommendations. These were rated online by participating experts. Descriptive statistics were used to analyse agreement and consensus. Narrative comments were collated. Experts in ethical issues and palliative care research were invited to the Cicely Saunders Institute in London. They included senior researchers, service providers, commissioners, researchers, members of ethics committees and policy makers. The workshop comprised 28 participants. A total of 16 recommendations were developed. There was high agreement on the issue of research participation and high to moderate agreement on applications to research ethics committees. The recommendations on obtaining and maintaining consent from patients and families were the most contentious. Nine recommendations were refined on the basis of the comments from the online consultation. The culture surrounding palliative care research needs to change by fostering collaborative approaches between all those involved in the research process. Changes to the legal framework governing the research process are required to enhance the ethical conduct of research in palliative care. The recommendations are relevant to all areas of research involving vulnerable adults.

  6. Recommended Wilderness

    Data.gov (United States)

    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...

  7. Recommender systems

    CERN Document Server

    Kembellec, Gérald; Saleh, Imad

    2014-01-01

    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

  8. Cardiopulmonary exercise testing – effective method for evaluation and recommendation of individualized exercise training in patients with metabolic syndrome

    Directory of Open Access Journals (Sweden)

    Claudiu Avram

    2011-12-01

    Full Text Available The present study aims to emphasize the role of cardiopulmonary exercise training (CPET in evaluation and recommendation of individualized exercise training in patients with a metabolic syndrome. Methods: We performed a prospective longitudinal study of 9 months. The study group consisted of 28 young patients (21.3±3.1 years old without contraindications to exercise, previously diagnosed with metabolic syndrome according to NCEP-ATPIII criteria. All patients were evaluating at baseline and after 3 months of intervention and at the end of the study (after 9 months. The evaluation consists in performing a CPET on bicycle ergometer in which subjects were monitored in terms of cardiac and respiratory parameters. The CPET results allow us to establish the range of effort intensity in which the patient should exercise in order to burn calories and achieve the maximum fat oxidation rate. All patients benefit from an intensive interval exercise training programme, supervised and guided by a physical therapist. Exercise training consisted in 50 minutes sessions, 3 times per week, at intensive endurance training zone (in the range of anaerobic threshold, completed by 1 minute interval in the range between anaerobic threshold (AT and respiratory compensation point (RCP, for every 5 minutes of training. Results: After 9 months of intervention we noticed an improvement of abdominal obesity (waist circumference decreased from 98.98±10.14 cm to 89.54±12.32 cm, p<0.001, physical fitness (V’O2peak increased from 1.83±0.33 l/min to 2.13±0.4 l/min, p<0.001 and endurance (Oxygen uptake in the range of anaerobic treshold increase from 1.27±0.27 l/min to 1.55±0.31 l/min, p<0.001. Conclusions: Cardiopulmonary exercise testing together with training zones determinations is a useful tool for assessing the exercise capacity and drawing up individual workouts. Active and closely monitored intervention by individualized exercise training programmes leads to

  9. Transgender-inclusive measures of sex/gender for population surveys: Mixed-methods evaluation and recommendations

    Science.gov (United States)

    Bauer, Greta R.; Braimoh, Jessica; Scheim, Ayden I.; Dharma, Christoffer

    2017-01-01

    Given that an estimated 0.6% of the U.S. population is transgender (trans) and that large health disparities for this population have been documented, government and research organizations are increasingly expanding measures of sex/gender to be trans inclusive. Options suggested for trans community surveys, such as expansive check-all-that-apply gender identity lists and write-in options that offer maximum flexibility, are generally not appropriate for broad population surveys. These require limited questions and a small number of categories for analysis. Limited evaluation has been undertaken of trans-inclusive population survey measures for sex/gender, including those currently in use. Using an internet survey and follow-up of 311 participants, and cognitive interviews from a maximum-diversity sub-sample (n = 79), we conducted a mixed-methods evaluation of two existing measures: a two-step question developed in the United States and a multidimensional measure developed in Canada. We found very low levels of item missingness, and no indicators of confusion on the part of cisgender (non-trans) participants for both measures. However, a majority of interview participants indicated problems with each question item set. Agreement between the two measures in assessment of gender identity was very high (K = 0.9081), but gender identity was a poor proxy for other dimensions of sex or gender among trans participants. Issues to inform measure development or adaptation that emerged from analysis included dimensions of sex/gender measured, whether non-binary identities were trans, Indigenous and cultural identities, proxy reporting, temporality concerns, and the inability of a single item to provide a valid measure of sex/gender. Based on this evaluation, we recommend that population surveys meant for multi-purpose analysis consider a new Multidimensional Sex/Gender Measure for testing that includes three simple items (one asked only of a small sub-group) to assess gender

  10. Transgender-inclusive measures of sex/gender for population surveys: Mixed-methods evaluation and recommendations.

    Science.gov (United States)

    Bauer, Greta R; Braimoh, Jessica; Scheim, Ayden I; Dharma, Christoffer

    2017-01-01

    Given that an estimated 0.6% of the U.S. population is transgender (trans) and that large health disparities for this population have been documented, government and research organizations are increasingly expanding measures of sex/gender to be trans inclusive. Options suggested for trans community surveys, such as expansive check-all-that-apply gender identity lists and write-in options that offer maximum flexibility, are generally not appropriate for broad population surveys. These require limited questions and a small number of categories for analysis. Limited evaluation has been undertaken of trans-inclusive population survey measures for sex/gender, including those currently in use. Using an internet survey and follow-up of 311 participants, and cognitive interviews from a maximum-diversity sub-sample (n = 79), we conducted a mixed-methods evaluation of two existing measures: a two-step question developed in the United States and a multidimensional measure developed in Canada. We found very low levels of item missingness, and no indicators of confusion on the part of cisgender (non-trans) participants for both measures. However, a majority of interview participants indicated problems with each question item set. Agreement between the two measures in assessment of gender identity was very high (K = 0.9081), but gender identity was a poor proxy for other dimensions of sex or gender among trans participants. Issues to inform measure development or adaptation that emerged from analysis included dimensions of sex/gender measured, whether non-binary identities were trans, Indigenous and cultural identities, proxy reporting, temporality concerns, and the inability of a single item to provide a valid measure of sex/gender. Based on this evaluation, we recommend that population surveys meant for multi-purpose analysis consider a new Multidimensional Sex/Gender Measure for testing that includes three simple items (one asked only of a small sub-group) to assess gender

  11. Analysis of Video Data Processing Method Recommended System%关于视频推荐系统数据处理方法的分析

    Institute of Scientific and Technical Information of China (English)

    倪霓; 罗毅

    2014-01-01

    视频推荐系统作为一种重要的应用,可以帮助用户在网站中海量的视频库里找到其感兴趣的视频,同时也可以帮助用户挖掘出自己本身的兴趣。而视频推荐系统中核心和关键的部分是推荐算法,它在很大程度上决定了视频推荐系统的类型和性能的优劣。本文分析了视频推荐系统的常见架构并展示了优化后的推荐算法流程,在处理海量数据的真实应用背景下提出了总结出应用于视频推荐系统中的数据处理方法。%Video recommendation system as an important application that can help users to massive video library in the site to find videos of their interest, but can also help users dig itself out of its own interest. The video recommendation system is a core and critical part of the recommendation algorithm, which largely determines the type and properties of the pros and cons of video recommendation system. This paper analyzes the common video recommendation system architecture and demonstrated recommendation algorithm optimized process huge amounts of data in real processing application background summed proposed recommendation system used in video data processing methods.

  12. A statistical method to base nutrient recommendations on meta-analysis of intake and health-related status biomarkers.

    OpenAIRE

    Hilko van der Voet; Waldo J de Boer; Souverein, Olga W.; Esmée L Doets; Pieter van 't Veer

    2014-01-01

    Nutrient recommendations in use today are often derived from relatively old data of few studies with few individuals. However, for many nutrients, including vitamin B-12, extensive data have now become available from both observational studies and randomized controlled trials, addressing the relation between intake and health-related status biomarkers. The purpose of this article is to provide new methodology for dietary planning based on dose-response data and meta-analysis. The methodology ...

  13. Blood borne infections in sport: risks of transmission, methods of prevention, and recommendations for hepatitis B vaccination.

    Science.gov (United States)

    Kordi, R; Wallace, W A

    2004-12-01

    Athletes are at risk of blood borne infections through bleeding injuries or injection of drugs with contaminated syringes. Prevention should focus on reducing non-sport associated risky behaviour, as well as dealing appropriately with bleeding injuries. The risk of transmission of hepatitis B virus is particularly high in athletes in contact and collision sports, those who live in or travel to endemic regions, injecting drug abusers, and those who practice first aid when there is no healthcare practitioner available. It is recommended that such athletes, and also adolescent athletes, should be vaccinated against the virus as a routine.

  14. A News Recommendation Method Based on Two-Fold Clustering%基于二次聚类的新闻推荐方法

    Institute of Scientific and Technical Information of China (English)

    古万荣; 董守斌; 何锦潮; 曾之肇

    2014-01-01

    Due to fast update of news , the clustering-based preprocessing is usually needed when the news is recom-mended to users .However , some traditional clustering methods are too complicated while others rely on iterative ini -tial value , none of which can be accurately and effectively applied to news recommendation .Considering the above issues, we propose a news recommendation method based on two-fold clustering.In this method, a density clustering of random sample data is conducted .Based on the cluster number and initial cluster center of the density clustering , a fast two-fold clustering of all the news to be recommended is performed .Then, the news recommendation is realized by combining such factors as fashionability and popularity .The proposed method can cluster relevant news without too much computation cost , and it can calculate parameters by means of parameter estimation .Experimental results show that the proposed method is superior to other news recommendation methods in terms of diversity and accuracy .%由于新闻更新快,对用户进行新闻推荐往往需要进行聚类预处理,而传统方法要么复杂度过高,要么依赖于迭代初值,都不能准确而高效地应用于新闻推荐中。针对以上问题,文中提出了一个基于二次聚类的新闻推荐方法,对随机抽样数据进行密度聚类,基于该样本密度聚类的簇数和初始簇心进行所有待推荐新闻的二次快速聚类,并结合时新性、新闻热度等因素实现新闻推荐。文中方法可以将相关新闻聚集在一起,同时又不导致过高的运算开销,并通过参数估计方法计算各因素参数。实验结果表明,与其他新闻推荐方法相比,文中方法具有较好的推荐多样性和推荐准确度。

  15. 分面搜索的分面推荐方法研究%ON METHOD OF FACET RECOMMENDATION IN XML FACETED SEARCH

    Institute of Scientific and Technical Information of China (English)

    李新叶; 郭力洁; 李丹丹; 宋金浍

    2013-01-01

    分面搜索是一种探索式的信息查询技术,是对关键词搜索的补充.现有的分面搜索大都显示所有分面,当文档异构且存在大量分面时,不可能同时显示所有分面.研究将最有价值的分面推荐显示给用户是很有意义的,已有的分面推荐方法主要根据领域专家的经验选取,或者仅根据统计方法进行推荐,没有考虑XML分面之间的相关性,影响了推荐效果.研究XML文档分面搜索中的分面推荐方法,首先根据XML文档结构的语义特点,提出XML分面的相关性定义,然后将面的覆盖率方法和XML分面之间的相关性相结合进行XML分面推荐,并在公用数据集上进行了实验.实验结果表明,结合XML分面之间的相关性可以有效地推荐最有导航能力的分面.%Faceted search is a kind of exploratory information query technique,which is the complement to keyword search.Most of the existing faceted searches display all facets,while the document is heterogeneous and in a large number,it is impossible to display them all simultaneously,so it is really make sense to study the recommendation of most valuable facets to users.Existing facet recommendation method mainly selects based on the experience of domain experts or recommends just according to statistics but without considering the correlation between XML facets,which affects the recommendation effect.In this article we study the method of facet recommendation in XML document faceted search.First,according to semantic features of XML document structure,we put forward the definition of XML facet correlation,and then we combine the coverage rate method of facet with the correlation between XML facets to carry out XML facet recommendation,and this has been experimented on pubLIc dataset.Experimental results show that,to combine the correlation between XML facets can effectively recommend the facet with best navigation ability.

  16. AAPM recommendations on dose prescription and reporting methods for permanent interstitial brachytherapy for prostate cancer: report of Task Group 137.

    Science.gov (United States)

    Nath, Ravinder; Bice, William S; Butler, Wayne M; Chen, Zhe; Meigooni, Ali S; Narayana, Vrinda; Rivard, Mark J; Yu, Yan

    2009-11-01

    probability models, are reviewed. Based on these developments in literature, the AAPM recommends guidelines for dose prescription from a physics perspective for routine patient treatment, clinical trials, and for treatment planning software developers. The authors continue to follow the current recommendations on using D90 and V100 as the primary quantitles, with more specific guidelines on the use of the imaging modalities and the timing of the imaging. The AAPM recommends that the postimplant evaluation should be performed at the optimum time for specific radionuclides. In addition, they encourage the use of a radiobiological model with a specific set of parameters to facilitate relative comparisons of treatment plans reported by different institutions using different loading patterns or radionuclides.

  17. Performance evaluation of three computed radiography systems using methods recommended in American Association of Physicists in Medicine Report 93

    Directory of Open Access Journals (Sweden)

    Wilbroad Muhogora

    2011-01-01

    Full Text Available The performances of three clinical computed radiography (CR systems, (Agfa CR 75 (with CRMD 4.0 image plates, Kodak CR 850 (with Kodak GP plates and Kodak CR 850A (with Kodak GP plates were evaluated using six tests recommended in American Association of Physicists in Medicine Report 93. The results indicated variable performances with majority being within acceptable limits. The variations were mainly attributed to differences in detector formulations, plate readers′ characteristics, and aging effects. The differences of the mean low contrast scores between the imaging systems for three observers were statistically significant for Agfa and Kodak CR 850A (P=0.009 and for Kodak CR systems (P=0.006 probably because of the differences in ages. However, the differences were not statistically significant between Agfa and Kodak CR 850 (P=0.284 suggesting similar perceived image quality. The study demonstrates the need to implement quality control program regularly.

  18. 76 FR 20672 - Recommendations on In Vitro Ocular Safety Testing Methods and Strategies and Routine Use of...

    Science.gov (United States)

    2011-04-13

    ... alternative testing methods and strategies proposed to further reduce and refine the use of animals for... accepted the BCOP and ICE test methods for certain regulatory testing purposes without the need for animal... for the alternative testing methods and strategies proposed to further reduce and refine the use of...

  19. 基于消费性格的新商品推荐方法%Method of New Commodities Recommendation Based on Consuming Personalities

    Institute of Scientific and Technical Information of China (English)

    张光前; 白雪

    2015-01-01

    consumer and new commodities .To cope with this problem , this paper proposes a new idea to establish the linkage within consumers and new commodities by introducing consumer psychology theories into e-recommendation .It had been manifested that consuming psychology is the causal relationship between a consumer and the commodities a consumer has selected or would select ( including new commodities),i.e., the consumer′s psychology is a stable link between a consumer and so called commodities .If a consum-er′consuming psychologies were found out , then the linkage between a consumer and new commodities could be established .In this paper , the theory of consuming personalities is therefore combined with the Bayesian theory to build a new method of new commodities recommendation , which is mainly composed by two parts .One is the Bayesian network learning and the other is Bayesian network reasoning .Firstly, a consumer′s consuming personality is discovered from his /her consumption records by u-sing Bayesian network learning , then the trained Bayesian network is used to judge whether a new commodity is in conformity with the consuming personalities .The verification through the actual purchasing data shows that the built method has the properties of feasibility, reasonability, and generality.That is, consumers′consuming psychology could be revealed from one′s purchasing re-cords, and it can be used to infer whether a new commodity fits with one′s consuming personality . The method of new commodities recommendation is based on causal relationships between a consumer and new commodities , which is essentially different from the traditional e-recommendations based on correlation .The method not only deepens the user′s profile by introducing the consuming personalities into e-recommendation , but also provides the probability to develop a new recommendation method based on a consumer′s psychology .

  20. 基于分层模型的位置推荐方法研究*%Location Recommendation Method Based on Hierachical Model

    Institute of Scientific and Technical Information of China (English)

    孔晓笛; 周健勇

    2015-01-01

    A hierarchical recommendation method is propose to enrich location recommended methods by location‐based social networks and improve the accuracy of location recommendation .The location data in a social network is divided into historical location and social relations .Considering the history of the users check‐in sequence with a power‐law distribution and short‐term effect of these two characteristics ,Pitman‐Yor language process model is introduced to analyze the mechanism of the history of the user loca‐tion data ,calculate the probability of the next check‐in location .Combined with the social relations ,friends to join social relations layer data information ,it is concluded that the probability distribution of all possible position and recommended list is given according to the method of Top‐N .The effectiveness of the proposed method is verified through the analysis of the model calculation results and comparison with other location recommended method .%为了丰富地理位置社交网络中位置推荐的方法,提高位置推荐的精度,提出一种分层模型的推荐方法。将地理位置社交网络中的数据分为历史位置层和社交关系层,在历史位置层中,考虑用户的历史签到位置序列具有幂律分布和瞬时效应这两种特性,引入Pitman‐Yor语言过程模型的机制来分析用户的历史位置签到数据,计算出下一次签到位置的概率,结合社交关系,加入社交关系层的朋友数据信息,得出所有可能位置的概率分布,按照TopN方法给出推荐列表。通过模型计算结果分析,对比其他的位置推荐方法,验证了该方法的有效性。

  1. Preventing Recommendation Attack in Trust-Based Recommender Systems

    Institute of Scientific and Technical Information of China (English)

    Fu-Guo Zhang

    2011-01-01

    Despite its success,similarity-based collaborative filtering suffers from some limitations,such as scalability,sparsity and recommendation attack.Prior work has shown incorporating trust mechanism into traditional collaborative filtering recommender systems can improve these limitations.We argue that trust-based recommender systems are facing novel recommendation attack which is different from the profile injection attacks in traditional recommender system.To the best of our knowledge,there has not any prior study on recommendation attack in a trust-based recommender system.We analyze the attack problem,and find that "victim" nodes play a significant role in the attack.Furthermore,we propose a data provenance method to trace malicious users and identify the "victim" nodes as distrust users of recommender system.Feasibility study of the defend method is done with the dataset crawled from Epinions website.

  2. Valuing the scholarship of integration and the scholarship of application in the academy for health sciences scholars: recommended methods

    Directory of Open Access Journals (Sweden)

    Newton Mandi

    2007-05-01

    Full Text Available Abstract In the landmark 1990 publication Scholarship Reconsidered, Boyer challenged the 'teaching verses research debates' by advocating for the scholarship of discovery, teaching, integration, and application. The scholarship of discovery considers publications and research as the yardstick in the merit, promotion and tenure system the world over. But this narrow view of scholarship does not fully support the obligations of universities to serve global societies and to improve health and health equity. Mechanisms to report the scholarship of teaching have been developed and adopted by some universities. In this article, we contribute to the less developed areas of scholarship, i.e. integration and application. We firstly situate the scholarship of discovery, teaching, integration and application within the interprofessional and knowledge exchange debates. Second, we propose a means for health science scholars to report the process and outcomes of the scholarship of integration and application with other disciplines, decision-makers and communities. We conclude with recommendations for structural and process change in faculty merit, tenure, and promotion systems so that health science scholars with varied academic portfolios are valued and many forms of academic scholarship are sustained. It is vital academic institutions remain relevant in an era when the production of knowledge is increasingly recognized as a social collaborative activity.

  3. Valuing the scholarship of integration and the scholarship of application in the academy for health sciences scholars: recommended methods.

    Science.gov (United States)

    Hofmeyer, Anne; Newton, Mandi; Scott, Cathie

    2007-05-29

    In the landmark 1990 publication Scholarship Reconsidered, Boyer challenged the 'teaching verses research debates' by advocating for the scholarship of discovery, teaching, integration, and application. The scholarship of discovery considers publications and research as the yardstick in the merit, promotion and tenure system the world over. But this narrow view of scholarship does not fully support the obligations of universities to serve global societies and to improve health and health equity. Mechanisms to report the scholarship of teaching have been developed and adopted by some universities. In this article, we contribute to the less developed areas of scholarship, i.e. integration and application. We firstly situate the scholarship of discovery, teaching, integration and application within the interprofessional and knowledge exchange debates. Second, we propose a means for health science scholars to report the process and outcomes of the scholarship of integration and application with other disciplines, decision-makers and communities. We conclude with recommendations for structural and process change in faculty merit, tenure, and promotion systems so that health science scholars with varied academic portfolios are valued and many forms of academic scholarship are sustained. It is vital academic institutions remain relevant in an era when the production of knowledge is increasingly recognized as a social collaborative activity.

  4. Applying the WHO recommendations on health-sector response to violence against women to assess the Spanish health system. A mixed methods approach.

    Science.gov (United States)

    Goicolea, Isabel; Vives-Cases, Carmen; Minvielle, Fauhn; Briones-Vozmediano, Erica; Ohman, Ann

    2014-01-01

    This methodological note describes the development and application of a mixed-methods protocol to assess the responsiveness of Spanish health systems to violence against women in Spain, based on the World Health Organization (WHO) recommendations. Five areas for exploration were identified based on the WHO recommendations: policy environment, protocols, training, accountability/monitoring, and prevention/promotion. Two data collection instruments were developed to assess the situation of 17 Spanish regional health systems (RHS) with respect to these areas: 1) a set of indicators to guide a systematic review of secondary sources, and 2) an interview guide to be used with 26 key informants at the regional and national levels. We found differences between RHSs in the five areas assessed. The progress of RHSs on the WHO recommendations was notable at the level of policies, moderate in terms of health service delivery, and very limited in terms of preventive actions. Using a mixed-methods approach was useful for triangulation and complementarity during instrument design, data collection and interpretation.

  5. A Flexible Electronic Commerce Recommendation System

    Science.gov (United States)

    Gong, Songjie

    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.

  6. Improving the efficiency and relevance of evidence-based recommendations in the era of whole-genome sequencing: an EGAPP methods update.

    Science.gov (United States)

    Veenstra, David L; Piper, Margaret; Haddow, James E; Pauker, Stephen G; Klein, Roger; Richards, Carolyn Sue; Tunis, Sean R; Djulbegovic, Benjamin; Marrone, Michael; Lin, Jennifer S; Berg, Alfred O; Calonge, Ned

    2013-01-01

    To provide an update on recent revisions to Evaluation of Genomic Applications in Practice and Prevention (EGAPP) methods designed to improve efficiency, and an assessment of the implications of whole genome sequencing for evidence-based recommendation development. Improvements to the EGAPP approach include automated searches for horizon scanning, a quantitative ranking process for topic prioritization, and the development of a staged evidence review and evaluation process. The staged process entails (i) triaging tests with minimal evidence of clinical validity, (ii) using and updating existing reviews, (iii) evaluating clinical validity prior to analytic validity or clinical utility, (iv) using decision modeling to assess potential clinical utility when direct evidence is not available. EGAPP experience to date suggests the following approaches will be critical for the development of evidence based recommendations in the whole genome sequencing era: (i) use of triage approaches and frameworks to improve efficiency, (ii) development of evidence thresholds that consider the value of further research, (iii) incorporation of patient preferences, and (iv) engagement of diverse stakeholders. The rapid advances in genomics present a significant challenge to traditional evidence based medicine, but also an opportunity for innovative approaches to recommendation development.

  7. Seeking Clearer Recommendations for Hand Hygiene in Communities Facing Ebola: A Randomized Trial Investigating the Impact of Six Handwashing Methods on Skin Irritation and Dermatitis

    Science.gov (United States)

    Wells, Emma; Mitro, Brittany; Desmarais, Anne Marie; Scheinman, Pamela; Lantagne, Daniele

    2016-01-01

    To prevent disease transmission, 0.05% chlorine solution is commonly recommended for handwashing in Ebola Treatment Units. In the 2014 West Africa outbreak this recommendation was widely extended to community settings, although many organizations recommend soap and hand sanitizer over chlorine. To evaluate skin irritation caused by frequent handwashing that may increase transmission risk in Ebola-affected communities, we conducted a randomized trial with 91 subjects who washed their hands 10 times a day for 28 days. Subjects used soap and water, sanitizer, or one of four chlorine solutions used by Ebola responders (calcium hypochlorite (HTH), sodium dichloroisocyanurate (NaDCC), and generated or pH-stabilized sodium hypochlorite (NaOCl)). Outcomes were self-reported hand feel, irritation as measured by the Hand Eczema Score Index (HECSI) (range 0–360), signs of transmission risk (e.g., cracking), and dermatitis diagnosis. All groups experienced statistically significant increases in HECSI score. Subjects using sanitizer had the smallest increases, followed by higher pH chlorine solutions (HTH and stabilized NaOCl), and soap and water. The greatest increases were among neutral pH chlorine solutions (NaDCC and generated NaOCl). Signs of irritation related to higher transmission risk were observed most frequently in subjects using soap and least frequently by those using sanitizer or HTH. Despite these irritation increases, all methods represented minor changes in HECSI score. Average HECSI score was only 9.10 at endline (range 1–33) and 4% (4/91) of subjects were diagnosed with dermatitis, one each in four groups. Each handwashing method has benefits and drawbacks: soap is widely available and inexpensive, but requires water and does not inactivate the virus; sanitizer is easy-to use and effective but expensive and unacceptable to many communities, and chlorine is easy-to-use but difficult to produce properly and distribute. Overall, we recommend Ebola responders

  8. Rationale and Methods for Archival Sampling and Analysis of Atmospheric Trace Chemical Contaminants On Board Mir and Recommendations for the International Space Station

    Science.gov (United States)

    Perry, J. L.; James, J. T.; Cole, H. E.; Limero, T. F.; Beck, S. W.

    1997-01-01

    Collection and analysis of spacecraft cabin air samples are necessary to assess the cabin air quality with respect to crew health. Both toxicology and engineering disciplines work together to achieve an acceptably clean cabin atmosphere. Toxicology is concerned with limiting the risk to crew health from chemical sources, setting exposure limits, and analyzing air samples to determine how well these limits are met. Engineering provides the means for minimizing the contribution of the various contaminant generating sources by providing active contamination control equipment on board spacecraft and adhering to a rigorous material selection and control program during the design and construction of the spacecraft. A review of the rationale and objectives for sampling spacecraft cabin atmospheres is provided. The presently-available sampling equipment and methods are reviewed along with the analytical chemistry methods employed to determine trace contaminant concentrations. These methods are compared and assessed with respect to actual cabin air quality monitoring needs. Recommendations are presented with respect to the basic sampling program necessary to ensure an acceptably clean spacecraft cabin atmosphere. Also, rationale and recommendations for expanding the scope of the basic monitoring program are discussed.

  9. Inter-lab comparison of precision and recommended methods for age estimation of Florida manatee (Trichechus manatus latirostris using growth layer groups in earbones

    Directory of Open Access Journals (Sweden)

    Katherine Brill

    2016-06-01

    Full Text Available Manatees are routinely aged by counting Growth Layer Groups (GLGs in periotic bones (earbones. Manatee carcasses recovered in Florida between 1974 and 2010 provided age-estimation material for three readers and formed the base for a retrospective analysis of aging precision (repeatability. All readers were in good agreement (high precision with the greatest apparent source of variation being the result of earbone remodelling with increasing manatee age. Over the same period, methods of sample preparation and of determining a final age estimate changed. We examined the effects of altering methods on ease of reading GLGs and found no statistical differences. Accurate age estimates are an important component for effective management of the species and for better models of population trends and we summarize the currently recommended methods for estimating manatee ages using earbones.

  10. Assessment of Technologies for the Space Shuttle External Tank Thermal Protection System and Recommendations for Technology Improvement - Part III: Material Property Characterization, Analysis, and Test Methods

    Science.gov (United States)

    Gates, Thomas S.; Johnson, Theodore F.; Whitley, Karen S.

    2005-01-01

    The objective of this report is to contribute to the independent assessment of the Space Shuttle External Tank Foam Material. This report specifically addresses material modeling, characterization testing, data reduction methods, and data pedigree. A brief description of the External Tank foam materials, locations, and standard failure modes is provided to develop suitable background information. A review of mechanics based analysis methods from the open literature is used to provide an assessment of the state-of-the-art in material modeling of closed cell foams. Further, this report assesses the existing material property database and investigates sources of material property variability. The report presents identified deficiencies in testing methods and procedures, recommendations for additional testing as required, identification of near-term improvements that should be pursued, and long-term capabilities or enhancements that should be developed.

  11. Method for Commodity Recommendation Based on User Community%基于用户社区的商品推荐方法

    Institute of Scientific and Technical Information of China (English)

    麻风梅; 王刚

    2013-01-01

    提出一种以用户社区服务系统为基础,面向社区新用户的商品推荐方法.根据现有用户的历史行为对用户进行社区划分,得到社区划分的结果模型,对于一个新来的用户运用这个模型将其归入相应的社区中,再根据这个社区的特征有目的地为新用户进行商品推荐.文中对该方法所涉及的基于信息熵的社区发现算法以及基于网络社区的协同推荐算法等关键问题的实现思路进行了详细阐述.%In this paper a new method for commodity recommendation is presented,which is based on user community service system.According to the history of the existing user behavior to divise the user community,the division of the community for the model,use this model divise new user into the corresponding community,and then according to the characteristics of the community recommended commodity for new users.The solutions for the key pmblemsin this method are given in details,including algorithm of community detection based on information entropy and collaborative recommendation algorithm based on community.

  12. Statistical analysis of individual participant data meta-analyses: a comparison of methods and recommendations for practice.

    Directory of Open Access Journals (Sweden)

    Gavin B Stewart

    Full Text Available BACKGROUND: Individual participant data (IPD meta-analyses that obtain "raw" data from studies rather than summary data typically adopt a "two-stage" approach to analysis whereby IPD within trials generate summary measures, which are combined using standard meta-analytical methods. Recently, a range of "one-stage" approaches which combine all individual participant data in a single meta-analysis have been suggested as providing a more powerful and flexible approach. However, they are more complex to implement and require statistical support. This study uses a dataset to compare "two-stage" and "one-stage" models of varying complexity, to ascertain whether results obtained from the approaches differ in a clinically meaningful way. METHODS AND FINDINGS: We included data from 24 randomised controlled trials, evaluating antiplatelet agents, for the prevention of pre-eclampsia in pregnancy. We performed two-stage and one-stage IPD meta-analyses to estimate overall treatment effect and to explore potential treatment interactions whereby particular types of women and their babies might benefit differentially from receiving antiplatelets. Two-stage and one-stage approaches gave similar results, showing a benefit of using anti-platelets (Relative risk 0.90, 95% CI 0.84 to 0.97. Neither approach suggested that any particular type of women benefited more or less from antiplatelets. There were no material differences in results between different types of one-stage model. CONCLUSIONS: For these data, two-stage and one-stage approaches to analysis produce similar results. Although one-stage models offer a flexible environment for exploring model structure and are useful where across study patterns relating to types of participant, intervention and outcome mask similar relationships within trials, the additional insights provided by their usage may not outweigh the costs of statistical support for routine application in syntheses of randomised controlled

  13. Recommender systems in industrial contexts

    CERN Document Server

    Meyer, Frank

    2012-01-01

    This thesis consists of four parts: - An analysis of the core functions and the prerequisites for recommender systems in an industrial context: we identify four core functions for recommendation systems: Help do Decide, Help to Compare, Help to Explore, Help to Discover. The implementation of these functions has implications for the choices at the heart of algorithmic recommender systems. - A state of the art, which deals with the main techniques used in automated recommendation system: the two most commonly used algorithmic methods, the K-Nearest-Neighbor methods (KNN) and the fast factorization methods are detailed. The state of the art presents also purely content-based methods, hybridization techniques, and the classical performance metrics used to evaluate the recommender systems. This state of the art then gives an overview of several systems, both from academia and industry (Amazon, Google ...). - An analysis of the performances and implications of a recommendation system developed during this thesis: ...

  14. Identification and evaluation of counter-irritant potential of crude extract of Malva parviflora L. by WHO recommended methods.

    Science.gov (United States)

    Ishtiaq, Saiqa; Hassan, Syed Saeed-ul; Niaz, Uzma; Saeed, Muhammad Asif

    2012-07-01

    Plenty of medicinal plants are available in Pakistan and are in human use as herbal medicines from ancient time. Present work is based on the evaluation of the use of Malva parviflora in skin irritation problems. For this purpose, powdered plant material (The aerial part and roots separately) was extracted by using successive solvent extraction method using petroleum ether, chloroform and methanol. Resulting three crude fractions were subjected to counter-irritant investigations on rabbit's ear. Petroleum ether fraction exhibited prominent counter-irritant potential. Five compounds named, as MP-1, MP-2, MP-3, MP-4 and MP-5 were isolated from petroleum ether extract by column and thin layer chromatography. These compounds were subjected to UV spectrophotometer for detection of absorption of light, then FTIR for specific functional group identification and counter-irritant potentials was evaluated on rabbit's ear skin. The MP-1 and MP-2 exhibited excellent counter-irritant activity in different dilutions than others. However, dilution 100 μg/ml showed maximum activity.

  15. 基于标签和因子分析的协同推荐方法%Collaborative Recommendation Method Based on Tags and Factor Analysis

    Institute of Scientific and Technical Information of China (English)

    蔡国永; 吕瑞; 樊永显

    2015-01-01

    根据在线社区中群体的历史行为进行物品(或信息)推荐是当前研究热点之一,传统推荐算法都面临数据稀疏性问题的挑战。针对传统推荐算法知识表示的局限性进行了研究,提出了一种基于标签系统的用户行为知识表示法,把用户在物品上历史行为的统计,转化为对用户在物品标签上的统计,从而缓解数据稀疏的情况。为了降低标签维度过高导致的计算复杂性问题,提出了采用因子分析法,抽取出潜在重要且稳定的特征因子向量来最终表示用户的历史行为,并据此度量用户行为在特征因子向量上的相似性。最后采用协同过滤的思想给出了一种新的协同推荐方法。通过在真实数据集上的大量对比实验,表明该方法在处理具有稀疏性的数据集时,总是能保持更高且更稳定的推荐准确率。%Item (or information) recommendation is one of hot research topics currently. However the is-sue of sparseness in dataset challenges all traditional recommendation algorithms. Limitations of knowl-edge representation in traditional recommendation algorithms were studied. The tag-system-based knowl-edge to represent information of each user’s behavior was proposed. That it the account on user’s behav-ior on items is transferred to an account on a user’s behavior on tags. To decrease the computation com-plexity on high dimensional tag-based datasets, a factor analysis method was taken to extract those most important latent factors to represent users’ behaviors. Based on each user’s representing vector of latent factors, a new way was given to compute similarities among users. By incorporating this similarity meas-ure, a new collaborative recommendation method with low sensitivity to sparseness was built to meet the need of practical and dynamic datasets. Experiments were carried on real-world datasets to compare the proposed method with other state

  16. Using data mining techniques to explore physicians' therapeutic decisions when clinical guidelines do not provide recommendations: methods and example for type 2 diabetes.

    Science.gov (United States)

    Toussi, Massoud; Lamy, Jean-Baptiste; Le Toumelin, Philippe; Venot, Alain

    2009-06-10

    Clinical guidelines carry medical evidence to the point of practice. As evidence is not always available, many guidelines do not provide recommendations for all clinical situations encountered in practice. We propose an approach for identifying knowledge gaps in guidelines and for exploring physicians' therapeutic decisions with data mining techniques to fill these knowledge gaps. We demonstrate our method by an example in the domain of type 2 diabetes. We analyzed the French national guidelines for the management of type 2 diabetes to identify clinical conditions that are not covered or those for which the guidelines do not provide recommendations. We extracted patient records corresponding to each clinical condition from a database of type 2 diabetic patients treated at Avicenne University Hospital of Bobigny, France. We explored physicians' prescriptions for each of these profiles using C5.0 decision-tree learning algorithm. We developed decision-trees for different levels of detail of the therapeutic decision, namely the type of treatment, the pharmaco-therapeutic class, the international non proprietary name, and the dose of each medication. We compared the rules generated with those added to the guidelines in a newer version, to examine their similarity. We extracted 27 rules from the analysis of a database of 463 patient records. Eleven rules were about the choice of the type of treatment and thirteen rules about the choice of the pharmaco-therapeutic class of each drug. For the choice of the international non proprietary name and the dose, we could extract only a few rules because the number of patient records was too low for these factors. The extracted rules showed similarities with those added to the newer version of the guidelines. Our method showed its usefulness for completing guidelines recommendations with rules learnt automatically from physicians' prescriptions. It could be used during the development of guidelines as a complementary source from

  17. Global Surveillance of In Vitro Activity of Micafungin against Candida: a Comparison with Caspofungin by CLSI-Recommended Methods

    Science.gov (United States)

    Pfaller, M. A.; Boyken, L.; Hollis, R. J.; Messer, S. A.; Tendolkar, S.; Diekema, D. J.

    2006-01-01

    Micafungin is an echinocandin antifungal agent that has recently been approved for the prevention of invasive fungal infection and the treatment of esophageal candidiasis. Prospective sentinel surveillance for the emergence of in vitro resistance to micafungin among invasive Candida sp. isolates is indicated. We determined the in vitro activity of micafungin against 2,656 invasive (bloodstream or sterile site) unique patient isolates of Candida spp. collected from 60 medical centers worldwide in 2004 and 2005. We performed antifungal susceptibility testing according to the Clinical and Laboratory Standards Institute (CLSI) M27-A2 method and used a 24-hour prominent inhibition endpoint for determination of the MIC. Caspofungin was tested in parallel against all isolates. Of 2,656 invasive Candida sp. isolates, species distribution was 55.6% Candida albicans, 14.4% Candida parapsilosis, 13.4% Candida glabrata, 10.1% Candida tropicalis, 2.4% Candida krusei, 1.7% Candida guilliermondii, 0.9% Candida lusitaniae, 0.6% Candida kefyr, and 0.9% other Candida species. Overall, micafungin was very active against Candida (MIC50/MIC at which 90% of the isolates tested are inhibited [MIC90], 0.015/1 μg/ml; 96% inhibited at a MIC of ≤1 μg/ml, 100% inhibited at a MIC of ≤2 μg/ml) and comparable to caspofungin (MIC50/MIC90, 0.03/0.25 μg/ml; 99% inhibited at a MIC of ≤2 μg/ml). Results by species, expressed as MIC50/MIC90 (micrograms per milliliter), were as follows: C. albicans, 0.015/0.03; C. glabrata, 0.015/0.015; C. tropicalis, 0.03/0.06; C. krusei, 0.06/0.12; C. kefyr, 0.06/0.06; C. parapsilosis, 1/2; C. guilliermondii, 0.5/1; C. lusitaniae, 0.12/0.25; other Candida spp., 0.25/1. Although the species distribution varied considerably among the different geographic regions, there was no difference in micafungin activity across the regions. Micafungin has excellent in vitro activity against invasive clinical isolates of Candida from centers worldwide. PMID:17021079

  18. 一种基于后项不定长关联规则的Web个性化推荐方法%A Web Personalized Recommendation Method Based on Uncertain Consequent Association Rules

    Institute of Scientific and Technical Information of China (English)

    丁增喜; 王菊英; 王大玲; 鲍玉斌; 于戈

    2003-01-01

    Web usage mining plays an important part in supporting personalized recommendation on Web and association rule uncovers the interesting relations among items hidden in data. The paper gives an idea of association rule merging-deleting based on the analysis of association rule characteristics and implements it in the rule preparation before the Web personalized recommendation. Furthermore, based on the comparisons in precision, coverage and F1 of recommendation system and the rule numbers used in three kinds of association rules, a Web personalized recommendation method based on uncertain consequent is put forward. After integrative analysis of several recommendation methods, the method given in the paper can be thought as a good selection. At last several pageweighted techniques are introduced in the paper.

  19. Practical approaches for design and analysis of clinical trials of infertility treatments: crossover designs and the Mantel-Haenszel method are recommended.

    Science.gov (United States)

    Takada, Michihiro; Sozu, Takashi; Sato, Tosiya

    2015-01-01

    Crossover designs have some advantages over standard clinical trial designs and they are often used in trials evaluating the efficacy of treatments for infertility. However, clinical trials of infertility treatments violate a fundamental condition of crossover designs, because women who become pregnant in the first treatment period are not treated in the second period. In previous research, to deal with this problem, some new designs, such as re-randomization designs, and analysis methods including the logistic mixture model and the beta-binomial mixture model were proposed. Although the performance of these designs and methods has previously been evaluated in large-scale clinical trials with sample sizes of more than 1000 per group, the actual sample sizes of infertility treatment trials are usually around 100 per group. The most appropriate design and analysis for these moderate-scale clinical trials are currently unclear. In this study, we conducted simulation studies to determine the appropriate design and analysis method of moderate-scale clinical trials for irreversible endpoints by evaluating the statistical power and bias in the treatment effect estimates. The Mantel-Haenszel method had similar power and bias to the logistic mixture model. The crossover designs had the highest power and the smallest bias. We recommend using a combination of the crossover design and the Mantel-Haenszel method for two-period, two-treatment clinical trials with irreversible endpoints.

  20. Toward a standard for the evaluation of PET-Auto-Segmentation methods following the recommendations of AAPM task group No. 211: Requirements and implementation.

    Science.gov (United States)

    Berthon, Beatrice; Spezi, Emiliano; Galavis, Paulina; Shepherd, Tony; Apte, Aditya; Hatt, Mathieu; Fayad, Hadi; De Bernardi, Elisabetta; Soffientini, Chiara D; Ross Schmidtlein, C; El Naqa, Issam; Jeraj, Robert; Lu, Wei; Das, Shiva; Zaidi, Habib; Mawlawi, Osama R; Visvikis, Dimitris; Lee, John A; Kirov, Assen S

    2017-08-01

    The aim of this paper is to define the requirements and describe the design and implementation of a standard benchmark tool for evaluation and validation of PET-auto-segmentation (PET-AS) algorithms. This work follows the recommendations of Task Group 211 (TG211) appointed by the American Association of Physicists in Medicine (AAPM). The recommendations published in the AAPM TG211 report were used to derive a set of required features and to guide the design and structure of a benchmarking software tool. These items included the selection of appropriate representative data and reference contours obtained from established approaches and the description of available metrics. The benchmark was designed in a way that it could be extendable by inclusion of bespoke segmentation methods, while maintaining its main purpose of being a standard testing platform for newly developed PET-AS methods. An example of implementation of the proposed framework, named PETASset, was built. In this work, a selection of PET-AS methods representing common approaches to PET image segmentation was evaluated within PETASset for the purpose of testing and demonstrating the capabilities of the software as a benchmark platform. A selection of clinical, physical, and simulated phantom data, including "best estimates" reference contours from macroscopic specimens, simulation template, and CT scans was built into the PETASset application database. Specific metrics such as Dice Similarity Coefficient (DSC), Positive Predictive Value (PPV), and Sensitivity (S), were included to allow the user to compare the results of any given PET-AS algorithm to the reference contours. In addition, a tool to generate structured reports on the evaluation of the performance of PET-AS algorithms against the reference contours was built. The variation of the metric agreement values with the reference contours across the PET-AS methods evaluated for demonstration were between 0.51 and 0.83, 0.44 and 0.86, and 0.61 and 1

  1. ICRS Recommendation Document

    DEFF Research Database (Denmark)

    Roos, Ewa M.; Engelhart, Luella; Ranstam, Jonas

    2011-01-01

    Abstract Objective: The purpose of this article is to describe and recommend patient-reported outcome instruments for use in patients with articular cartilage lesions undergoing cartilage repair interventions. Methods: Nonsystematic literature search identifying measures addressing pain and funct......Abstract Objective: The purpose of this article is to describe and recommend patient-reported outcome instruments for use in patients with articular cartilage lesions undergoing cartilage repair interventions. Methods: Nonsystematic literature search identifying measures addressing pain...... constructs at all levels according to the International Classification of Functioning. Conclusions: Because there is no obvious superiority of either instrument at this time, both outcome measures are recommended for use in cartilage repair. Rescaling of the Lysholm Scoring Scale has been suggested......, and confirmatory longitudinal studies are needed prior to recommending this scale for use in cartilage repair. Inclusion of a generic measure is feasible in cartilage repair studies and allows analysis of health-related quality of life and health economic outcomes. The Marx or Tegner Activity Rating Scales...

  2. Effect of the method of preparation for consumption on calcium retention, calcium:phosphorus ratio, nutrient density and recommended daily allowance in fourteen vegetables.

    Science.gov (United States)

    Słupski, Jacek; Gębczyński, Piotr; Korus, Anna; Lisiewska, Zofia

    2014-06-01

    The aim of this work was to evaluate calcium retention in 14 species of vegetable (from four usable groups). The material investigated consisted of raw and boiled fresh vegetables and two types of frozen product prepared for consumption after 12-month storage: one traditionally produced; the other obtained using the modified method (convenience food). The highest calcium content was found in leafy vegetables, followed (in descending order) by leguminous, root and brassica vegetables. The proportion by weight of Ca to P was highest in leafy vegetables and decreased with calcium retention despite the fact that levels of phosphorus were highest in leguminous and lowest in leafy vegetables. The nutrient density (ND%) of calcium for adults exceeded 100 for each individual vegetable species. The recommended daily allowance (RDA) percentage value varied between 23.04 (kale) and 1.46 (white cauliflower). Of the three types of product, ND and RDA values were generally greater in the frozen convenience products.

  3. Is a computer based measurement method superior to a recommended manual method by the ROHO® Group to assess pressure in the sitting position?

    DEFF Research Database (Denmark)

    Andreasen, Jane; Olesen, Christian Gammelgaard; Rasmussen, John

    2013-01-01

    Objectives: The objective was to test intra tester and inter tester reliability and evaluate if a computer based measurement method is superior to a manual method to reduce pressure in the sitting position. Design: An intra tester and inter tester reliability study was conducted in 2010 at the De......Objectives: The objective was to test intra tester and inter tester reliability and evaluate if a computer based measurement method is superior to a manual method to reduce pressure in the sitting position. Design: An intra tester and inter tester reliability study was conducted in 2010...... at the Department of Occupational Therapy and Physiotherapy, Aalborg Hospital, Aarhus University Hospital, Denmark. Participants: 20 healthy and able minded aged between 18 and 65. Procedure: The outcome measures were obtained using a pressure imaging system that could register pressure distribution in the sitting...... area. The system was a XSENSOR Pressure Mapping System™. The cushion used was a Roho Quatro select® high profile. All subjects were tested twice with an interval of 24 hours by Testers 1 and 2, who were experienced occupational therapists. Main outcome measures: Risk factor defined as a scalar norm, R...

  4. Information technology -- Local and metropolitan area networks -- Token ring access method and physical layer specifications -- Recommended practice for use of unshielded twisted pair cable (UTP) for token ring data transmission at 4-Mbit/s

    CERN Document Server

    International Organization for Standardization. Geneva

    1993-01-01

    Information technology -- Local and metropolitan area networks -- Token ring access method and physical layer specifications -- Recommended practice for use of unshielded twisted pair cable (UTP) for token ring data transmission at 4-Mbit/s

  5. Recommended Trust Computation Method Between Individuals in Social Network Site%一种社交网络中的个体间推荐信任度计算方法

    Institute of Scientific and Technical Information of China (English)

    张波; 向阳; 黄震华

    2013-01-01

    推荐是社交网络中人们分享传递信息的重要途径.本文针对信息推荐所带来的可靠性评估难题,给出一种推荐信任度计算方法.首先给出社交网络(Social nework site,SNS)个体之间主观信任和个体自身客观信誉的计算方法,继而从3个方面给出SNS中推荐信任的定义以及计算方法:复杂路径组成的推荐信任计算方法、推荐的客观符合度、以及推荐的可选择程度.最后给出SNS推荐信任计算架构(SNS recommended trust computation framework,SRTCF)以及其示例和实验分析.%Nowadays,recommendation has been one of the most important ways for information sharing and transmitting in social network site (SNS).A recommended trust computation method is addressed to confirm reliabilities of recommendations among users.Firstly,computation methods of trust values are defined as belief and reputation to represent subjective trustable relationship among users and objective creditable view of users in SNS.Then,recommended trust computation method is presented based on the above mentioned two kinds of trusts.Recommended trust computation is divided into three aspects:recommended trust computation with different route composition,recommendation objective coincidence and recommendation optional degree.Further,SNS recommended trust computation framework (SRTCF) is proposed.Finally,an example and examinations are given to explain the efficiency and feasibility of our mechanism.

  6. 一种面向企业的行业微博信息推荐方法%AN ENTERPRISES-ORIENTED MICROBLOGGING RECOMMENDATION METHOD FOR INDUSTRY USERS

    Institute of Scientific and Technical Information of China (English)

    吴雨龙; 黄涛; 杨燕; 王智军

    2014-01-01

    The rise of microblogging social media marketing makes it increasingly important to identify the industry-related information from microblogs.We present a keywords-based personalised industry-related information recommendation method to help users to obtain the related industrial information rapidly and accurately.The method generates the vector of industry keywords from two perspectives, the keywords extraction based on historical microblogs of industrial users, and the keywords expansion based on words co-occurrence information.Linear combination of keyword extraction and expansion results will be done according to user self-defined weight.Finally, based on this combined vector, we calculate the correlation degree of user subscribed microblogs so as to recommend the related information to users.Experiment of the method is carried out on Sina microblogging platform with a couple of representative enterprises microblogging data, its effectiveness has been proved.%微博社交媒体营销的兴起使得快速准确地在微博中定位行业信息变得越来越重要。提出一种基于关键词的行业信息个性化推荐方法以帮助用户快速准确地获得行业相关信息。从基于行业用户历史微博的关键词提取与基于词语共现信息的关键词扩展两个角度生成行业关键词向量,关键词提取与扩展的结果将根据用户自定义权重进行线性合并。最后,据此合并向量对用户订阅微博进行相关度计算,为用户推荐相关信息。该方法在新浪微博平台上以若干具有代表性的企业微博数据进行实验,证明了方法的有效性。

  7. Recommendation systems in software engineering

    CERN Document Server

    Robillard, Martin P; Walker, Robert J; Zimmermann, Thomas

    2014-01-01

    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...

  8. The Universal Recommender

    CERN Document Server

    Kunegis, Jérôme; Umbrath, Winfried

    2009-01-01

    We describe the Universal Recommender, a recommender system for semantic datasets that generalizes domain-specific recommenders such a content-based, collaborative, social, bibliographic, lexicographic, hybrid and other recommenders. In contrast to existing recommender systems, the Universal Recommender applies to any dataset that allows a semantic representation. We describe the scalable three-stage architecture of the Universal Recommender and its application to Internet Protocol Television (IPTV). To achieve good recommendation accuracy, several novel machine learning and optimization problems are identified. We finally give a brief argument supporting the need for machine learning recommenders.

  9. RILEM technical committee 195-DTD recommendation for test methods for AD and TD of early age concrete Round Robin documentation report : program, test results and statistical evaluation

    CERN Document Server

    Bjøntegaard, Øyvind; Krauss, Matias; Budelmann, Harald

    2015-01-01

    This report presents the Round-Robin (RR) program and test results including a statistical evaluation of the RILEM TC195-DTD committee named “Recommendation for test methods for autogenous deformation (AD) and thermal dilation (TD) of early age concrete”. The task of the committee was to investigate the linear test set-up for AD and TD measurements (Dilation Rigs) in the period from setting to the end of the hardening phase some weeks after. These are the stress-inducing deformations in a hardening concrete structure subjected to restraint conditions. The main task was to carry out an RR program on testing of AD of one concrete at 20 °C isothermal conditions in Dilation Rigs. The concrete part materials were distributed to 10 laboratories (Canada, Denmark, France, Germany, Japan, The Netherlands, Norway, Sweden and USA), and in total 30 tests on AD were carried out. Some supporting tests were also performed, as well as a smaller RR on cement paste. The committee has worked out a test procedure recommenda...

  10. Dynamic Recommendation: Disease Prediction and Prevention Using Recommender System

    Directory of Open Access Journals (Sweden)

    Mahdi Nasiri

    2016-06-01

    Full Text Available Background: In today’s world, chronic diseases are predominant health problems and cause heavy burden on society; therefore early diagnosis and even prediction of the disease is a way to reduce this burden. In this project, we tried to use recommender system to predict which other diseases a chronic patient is susceptible for. Methods: In this study, through a dynamic recommender system, we evaluated patients’ treatment destiny during the time. Results: It was shown that our method increased accuracy and reduced error compared with other recommendation methods in disease prediction. Conclusion: Compared to current usual methods, in our method we used previous patients’ characteristics as one of the factorization variables to predict destiny of future patients. Furthermore, using this method, we can predict which complication or disease the patient would suffer from first in future. Therefore, we can manage policies toward disease burden reduction by implementing prevention programs.

  11. From micronutrient recommendations to policy

    DEFF Research Database (Denmark)

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

    2010-01-01

    Background/Objectives: To achieve the nutritional goals stipulated by micronutrient recommendations, greater attention must be paid to the behavioural routes to such nutritional outcomes. Coopting stakeholders and consumers into decisions regarding micronutrient recommendations is an important step...... towards achieving a greater link between micronutrient recommendations and behaviour. This study aims to examine the rationale and processes associated with consumer and stakeholder involvement in setting micronutrient recommendations across Europe. Subjects/Methods: Using the contacts established through...... the Eurreca network of excellence (commissioned by the European Commission), the research involved in-depth desk research of key documents and communication channels linked to the process of setting micronutrient recommendations across seven countries: the United Kingdom, Norway, Denmark, Germany, Spain...

  12. Analysis of Reference Cigarette Smoke Yield Data From 21 Laboratories for 28 Selected Analytes as a Guide to Selection of New Coresta Recommended Methods

    Directory of Open Access Journals (Sweden)

    Purkis Steve

    2014-07-01

    Full Text Available Since 1999, the CORESTA Special Analytes Sub Group (SPA SG has been working on the development of CORESTA Recommended Methods (CRMs for the analysis of cigarette smoke components. All CRMs have been posted on the CORESTA website and several associated papers published. In this study, 21 laboratories shared data and in-house methodologies for 28 additional smoke components of regulatory interest to prioritise the development of further CRMs. Laboratories provided data, where available, from CORESTA monitor test pieces (CM6 and CM7 and Kentucky Reference Cigarettes (1R5F / 3R4F covering the period 2010-2012 obtained under both the ISO 3308 and Health Canada Intense regimes. Scant data were available on the CORESTA monitor test pieces and the Kentucky 1R5F reference. The greatest amount of data was obtained on the Kentucky 3R4F and this was used in the analyses described in this paper. SPA SG discussions provided invaluable insight into identifying causes and ways of reducing inter-laboratory variability which will be investigated in joint experiments before embarking on final collaborative studies using draft CRMs to obtain mean yields, repeatability and reproducibility values. Phenolic compounds (phenol, 3 cresol isomers, hydroquinone, catechol and resorcinol gave consistent results by liquid chromatography (LC separation and fluorescence detection after extracting collected “tar” on a Cambridge filter pad (CFP. Yields were similar to those obtained by a derivatisation method followed by gas chromatography - mass spectrometry (GC-MS analysis. Similar ratios of phenols were also obtained from each method. Of the 28 studied analytes, the between-laboratory variability was lowest for the phenols. Hydrogen cyanide was derivatised using various reagents and the colour development measured after continuous flow analysis (CFA by ultra-violet absorbance. Although, methodologies gave reasonably consistent results, investigations on the trapping system

  13. Introduction on health recommender systems.

    Science.gov (United States)

    Sanchez-Bocanegra, C L; Sanchez-Laguna, F; Sevillano, J L

    2015-01-01

    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.

  14. Personalized recommendation against crowd's popular selection

    CERN Document Server

    Zhu, Xuzhen; Liu, Haifeng

    2014-01-01

    The problem of personalized recommendation in an ocean of data attracts more and more attention recently. Most traditional researches ignore the popularity of the recommended object, which resulting in low personality and accuracy. In this Letter, we proposed a personalized recommendation method based on weighted object network, punishing the recommended object that is the crowd's popular selection, namely, Anti-popularity index(AP), which can give enhanced personality, accuracy and diversity in contrast to mainstream baselines with a low computational complexity.

  15. When are recommender systems useful?

    CERN Document Server

    Blattner, Marcel; Laureti, Paolo

    2007-01-01

    Recommender systems are crucial tools to overcome the information overload brought about by the Internet. Rigorous tests are needed to establish to what extent sophisticated methods can improve the quality of the predictions. Here we analyse a refined correlation-based collaborative filtering algorithm and compare it with a novel spectral method for recommending. We test them on two databases that bear different statistical properties (MovieLens and Jester) without filtering out the less active users and ordering the opinions in time, whenever possible. We find that, when the distribution of user-user correlations is narrow, simple averages work nearly as well as advanced methods. Recommender systems can, on the other hand, exploit a great deal of additional information in systems where external influence is negligible and peoples' tastes emerge entirely. These findings are validated by simulations with artificially generated data.

  16. Recommendations on bioanalytical method stability implications of co-administered and co-formulated drugs by Global CRO Council for Bioanalysis (GCC).

    Science.gov (United States)

    Lowes, Steve; Boterman, Mark; Doig, Mira; Breda, Massimo; Jersey, Jim; Lelacheur, Richard; Shoup, Ronald; Garofolo, Fabio; Dumont, Isabelle; Martinez, Suzanne; Needham, Shane; Zimmer, Jennifer; Caturla, Maria Cruz; Couerbe, Philippe; Maltas, John; Steffen, Ray; Petrilla, James; Safavi, Afshin; Awaiye, Kayode; Bhatti, Masood; Sheldon, Curtis; Schiebl, Christine; Struwe, Petra; Turk, Douglas; Sangster, Timothy; Pattison, Colin; Fast, Douglas; Goodwin, Lee; Kamerud, John; Dinan, Andrew; Mamelak, Dan; Islam, Rafiq; Segers, Rudi; Lin, Zhongping John; Hillier, Jim; Garofolo, Wei; Folguera, Lois; Zimmer, Dieter; Zimmermann, Thomas; Pawula, Maria; Moussallie, Marc; de Souza Teixeira, Leonardo; Rocha, Thais; Allinson, John; Jardieu, Paula; Tang, Daniel; Gouty, Dominique; Wright, Laura; Truog, James; Lin, Jenny; Yamashita, Yasuhiro; Khan, Masood; Liu, Yansheng; Xu, Allan; Lundberg, Richard; Cox, Chris; Breau, Alan; Hayes, Roger; Bigogno, Chiara; Schoutsen, Dick; Dilger, Carmen; Jonker, Jianine; Bouhajib, Mohammed; Levesque, Ann; Gagnon-Carignan, Sofi; Harman, Jake; Nicholson, Robert; Jenkins, Rand; Warren, Mark; Lin, Ming Hung; Karnik, Shane; De Boer, Theo; Houghton, Richard; Green, Rachel; Demaio, William; Sable, Romuald; Smith, Kirk; Siethoff, Christoph; Cojocaru, Laura; Allen, Mike; Reuschel, Scott; Gonzalez, Pilar; Harter, Tammy; Fatmi, Saadya; Rock, Marie; Vija, Jenifer; Sayyarpour, Farhad; Malone, Michele; Nowatzke, William; Best, Stuart; Fang, Xinping

    2012-09-01

    An open letter written by the Global CRO Council for Bioanalysis (GCC) describing the GCC survey results on stability data from co-administered and co-formulated drugs was sent to multiple regulatory authorities on 14 December 2011. This letter and further discussions at different GCC meetings led to subsequent recommendations on this topic of widespread interest within the bioanalytical community over the past 2 years.

  17. OARSI Clinical Trials Recommendations

    DEFF Research Database (Denmark)

    McAlindon, T. E.; Driban, J. B.; Henrotin, Y.;

    2015-01-01

    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...... and index knee, describing interventions, patient-reported and physical performance measures, structural outcome measures, biochemical biomarkers, and reporting recommendations. In summary, the working group identified 25 recommendations that represent the current best practices regarding clinical trials...... that target symptom or structure modification among individuals with knee OA. These updated recommendations incorporate novel technologies (e.g., magnetic resonance imaging (MRI)) and strategies to address the heterogeneity of knee OA....

  18. Trust for intelligent recommendation

    CERN Document Server

    Bhuiyan, Touhid

    2013-01-01

    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

  19. Application and Research on Movie Recommendation System Based on Qualitative Mapping Method%基于定性映射的影视推荐系统的应用与研究

    Institute of Scientific and Technical Information of China (English)

    邓云; 冯嘉礼

    2014-01-01

    Analyzes the advantages and disadvantages of the two kinds of recommendation algorithms which are popular currently. In view of the ad-vantages and disadvantages of the two kinds of recommendation algorithms of their respective, presents a hybrid recommendation algo-rithm based on qualitative mapping method. Takes the topological neighborhood as a qualitative matrix, the degree of conversion function by optimizing the results to improve the recommendation accuracy of the recommendation system, and through experiments validate the feasibility and accuracy of the hybrid algorithm.%分析目前比较流行的两种推荐算法各自存在的优缺点,针对两种单一推荐算法各自的优缺点,提出一种基于定性映射的混合推荐算法模型,以拓扑邻域为定性基准进行邻近查找操作,通过转化程度函数对结果进行优化,提高推荐系统的推荐精度,并通过实验验证该混合算法的可行性和精确性。

  20. Customization Using Fuzzy Recommender Systems

    Institute of Scientific and Technical Information of China (English)

    Ronald R. Yager

    2004-01-01

    We discuss some methods for constructing recommender systems. An important feature of the methods studied here is that we assume the availability of a description, representation, of the objects being considered for recommendation. The approaches studied here differ from collaborative filtering in that we only use pReferences information from the individual for whom we are providing the recommendation and make no use the preferences of other collaborators. We provide a detailed discussion of the construction of the representation schema used. We consider two sources of information about the users preferences. The first are direct statements about the type of objects the user likes. The second source of information comes from ratings of objects which the user has experienced.

  1. Recommended Practices in Thrust Measurements

    Science.gov (United States)

    Polk, James E.; Pancotti, Anthony; Haag, Thomas; King, Scott; Walker, Mitchell; Blakely, Joseph; Ziemer, John

    2013-01-01

    Accurate, direct measurement of thrust or impulse is one of the most critical elements of electric thruster characterization, and one of the most difficult measurements to make. The American Institute of Aeronautics and Astronautics has started an initiative to develop standards for many important measurement processes in electric propulsion, including thrust measurements. This paper summarizes recommended practices for the design, calibration, and operation of pendulum thrust stands, which are widely recognized as the best approach for measuring micro N- to mN-level thrust and micro Ns-level impulse bits. The fundamentals of pendulum thrust stand operation are reviewed, along with its implementation in hanging pendulum, inverted pendulum, and torsional balance configurations. Methods of calibration and recommendations for calibration processes are presented. Sources of error are identified and methods for data processing and uncertainty analysis are discussed. This review is intended to be the first step toward a recommended practices document to help the community produce high quality thrust measurements.

  2. Report of the Task Group 186 on model-based dose calculation methods in brachytherapy beyond the TG-43 formalism: Current status and recommendations for clinical implementation

    Energy Technology Data Exchange (ETDEWEB)

    Beaulieu, Luc [Departement de Radio-Oncologie et Centre de Recherche en Cancerologie de l' Universite Laval, Centre hospitalier universitaire de Quebec, Quebec, Quebec G1R 2J6 (Canada) and Departement de Physique, de Genie Physique et d' Optique, Universite Laval, Quebec, Quebec G1R 2J6 (Canada); Carlsson Tedgren, Asa [Department of Medical and Health Sciences (IMH), Radiation Physics, Faculty of Health Sciences, Linkoeping University, SE-581 85 Linkoeping (Sweden) and Swedish Radiation Safety Authority, SE-171 16 Stockholm (Sweden); Carrier, Jean-Francois [Departement de radio-oncologie, CRCHUM, Centre hospitalier de l' Universite de Montreal, Montreal, Quebec H2L 4M1 (Canada) and Departement de physique, Universite de Montreal, Montreal, Quebec H3C 3J7 (Canada); and others

    2012-10-15

    The charge of Task Group 186 (TG-186) is to provide guidance for early adopters of model-based dose calculation algorithms (MBDCAs) for brachytherapy (BT) dose calculations to ensure practice uniformity. Contrary to external beam radiotherapy, heterogeneity correction algorithms have only recently been made available to the BT community. Yet, BT dose calculation accuracy is highly dependent on scatter conditions and photoelectric effect cross-sections relative to water. In specific situations, differences between the current water-based BT dose calculation formalism (TG-43) and MBDCAs can lead to differences in calculated doses exceeding a factor of 10. MBDCAs raise three major issues that are not addressed by current guidance documents: (1) MBDCA calculated doses are sensitive to the dose specification medium, resulting in energy-dependent differences between dose calculated to water in a homogeneous water geometry (TG-43), dose calculated to the local medium in the heterogeneous medium, and the intermediate scenario of dose calculated to a small volume of water in the heterogeneous medium. (2) MBDCA doses are sensitive to voxel-by-voxel interaction cross sections. Neither conventional single-energy CT nor ICRU/ICRP tissue composition compilations provide useful guidance for the task of assigning interaction cross sections to each voxel. (3) Since each patient-source-applicator combination is unique, having reference data for each possible combination to benchmark MBDCAs is an impractical strategy. Hence, a new commissioning process is required. TG-186 addresses in detail the above issues through the literature review and provides explicit recommendations based on the current state of knowledge. TG-43-based dose prescription and dose calculation remain in effect, with MBDCA dose reporting performed in parallel when available. In using MBDCAs, it is recommended that the radiation transport should be performed in the heterogeneous medium and, at minimum, the dose to

  3. Juvenile Spondyloarthritis Treatment Recommendations

    OpenAIRE

    Tse, Shirley; Burgos-Vargas, Ruben; Colbert, Robert A

    2012-01-01

    No specific recommendations for the treatment of juvenile spondyloarthritis have been established. Important differences exist in how spondyloarthritis begins and progresses in children and adults, supporting the need for pediatric-specific recommendations. Recently published recommendations for the treatment of juvenile arthritis consider children with sacroiliitis in a separate group, and allow for more accelerated institution of a TNF inhibitor depending on disease activity and prognostic ...

  4. Efficiently Computing Private Recommendations

    NARCIS (Netherlands)

    Erkin, Z.; Beye, M.; Veugen, P.J.M.; Lagendijk, R.L.

    2011-01-01

    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 processin

  5. Efficiently computing private recommendations

    NARCIS (Netherlands)

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

    2011-01-01

    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 processin

  6. Search and Recommendation

    DEFF Research Database (Denmark)

    Bogers, Toine

    2014-01-01

    -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...

  7. Challenging the Long Tail Recommendation

    CERN Document Server

    Yin, Hongzhi; Li, Jing; Yao, Junjie; Chen, Chen

    2012-01-01

    The success of "infinite-inventory" retailers such as Amazon.com and Netflix has been largely attributed to a "long tail" phenomenon. Although the majority of their inventory is not in high demand, these niche products, unavailable at limited-inventory competitors, generate a significant fraction of total revenue in aggregate. In addition, tail product availability can boost head sales by offering consumers the convenience of "one-stop shopping" for both their mainstream and niche tastes. However, most of existing recommender systems, especially collaborative filter based methods, can not recommend tail products due to the data sparsity issue. It has been widely acknowledged that to recommend popular products is easier yet more trivial while to recommend long tail products adds more novelty yet it is also a more challenging task. In this paper, we propose a novel suite of graph-based algorithms for the long tail recommendation. We first represent user-item information with undirected edge-weighted graph and i...

  8. An Agent Framework of Tourism Recommender System

    Directory of Open Access Journals (Sweden)

    Jia Zhi Yang

    2016-01-01

    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.

  9. Literature review and recommendation of methods for measuring relative permeability of anhydrite from the Salado Formation at the Waste Isolation Pilot Plant

    Energy Technology Data Exchange (ETDEWEB)

    Christiansen, R.L. [Colorado School of Mines, Golden, CO (United States). Dept. of Petroleum Engineering; Howarth, S.M. [Sandia National Labs., Albuquerque, NM (United States)

    1995-08-01

    This report documents a literature review of methods for measuring relative permeability as applied to low permeability anhydrite rock samples from the Salado Formation. About one hundred papers were reviewed, and four methods were identified as promising techniques for measuring the relative permeability of the Salado anhydrite: (1) the unsteady-state high-rate method, (2) the unsteady-state stationary-liquid method, (3) the unsteady-state centrifuge method, and (4) the unsteady-state low-rate method. Except for the centrifuge method, all have been used for low permeability rocks. The unsteady-state high-rate method is preferred for measuring relative permeability of Salado anhydrite, and the unsteady-state stationary-liquid method could be well suited for measuring gas relative permeability of Salado anhydrite. The unsteady-state low-rate method, which combines capillary pressure effects with relative permeability concepts may also prove effective. Likewise, the unsteady-state centrifuge method may be an efficient means for measuring brine relative permeability for Salado anhydrite, especially at high gas saturations.

  10. A Study about Personalized Content Recommendation

    Directory of Open Access Journals (Sweden)

    BRITO, J. F.

    2013-12-01

    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.

  11. Recommender Systems for Learning

    CERN Document Server

    Manouselis, Nikos; Verbert, Katrien; Duval, Erik

    2013-01-01

    Technology enhanced learning (TEL) aims to design, develop and test sociotechnical innovations that will support and enhance learning practices of both individuals and organisations. It is therefore an application domain that generally covers technologies that support all forms of teaching and learning activities. Since information retrieval (in terms of searching for relevant learning resources to support teachers or learners) is a pivotal activity in TEL, the deployment of recommender systems has attracted increased interest. This brief attempts to provide an introduction to recommender systems for TEL settings, as well as to highlight their particularities compared to recommender systems for other application domains.

  12. Management recommendations: Tewaukon Complex

    Data.gov (United States)

    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...

  13. Recommended Textbooks (Booksearch).

    Science.gov (United States)

    English Journal, 1988

    1988-01-01

    Evaluates four textbooks recommended by junior high and high school teachers for teaching writing and literature: "Enjoying Literature" (published by Macmillan, 1985); "Exposition: Critical Writing and Thinking" (Robert J. Gula); "Situational Writing" (Gene Krupa); and "Double Exposure: Composing through Writing…

  14. Management recommendations: Kirwin Refuge

    Data.gov (United States)

    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...

  15. Probabilistic approaches to recommendations

    CERN Document Server

    Barbieri, Nicola; Ritacco, Ettore

    2014-01-01

    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

  16. New Insulin Delivery Recommendations.

    Science.gov (United States)

    Frid, Anders H; Kreugel, Gillian; Grassi, Giorgio; Halimi, Serge; Hicks, Debbie; Hirsch, Laurence J; Smith, Mike J; Wellhoener, Regine; Bode, Bruce W; Hirsch, Irl B; Kalra, Sanjay; Ji, Linong; Strauss, Kenneth W

    2016-09-01

    Many primary care professionals manage injection or infusion therapies in patients with diabetes. Few published guidelines have been available to help such professionals and their patients manage these therapies. Herein, we present new, practical, and comprehensive recommendations for diabetes injections and infusions. These recommendations were informed by a large international survey of current practice and were written and vetted by 183 diabetes experts from 54 countries at the Forum for Injection Technique and Therapy: Expert Recommendations (FITTER) workshop held in Rome, Italy, in 2015. Recommendations are organized around the themes of anatomy, physiology, pathology, psychology, and technology. Key among the recommendations are that the shortest needles (currently the 4-mm pen and 6-mm syringe needles) are safe, effective, and less painful and should be the first-line choice in all patient categories; intramuscular injections should be avoided, especially with long-acting insulins, because severe hypoglycemia may result; lipohypertrophy is a frequent complication of therapy that distorts insulin absorption, and, therefore, injections and infusions should not be given into these lesions and correct site rotation will help prevent them; effective long-term therapy with insulin is critically dependent on addressing psychological hurdles upstream, even before insulin has been started; inappropriate disposal of used sharps poses a risk of infection with blood-borne pathogens; and mitigation is possible with proper training, effective disposal strategies, and the use of safety devices. Adherence to these new recommendations should lead to more effective therapies, improved outcomes, and lower costs for patients with diabetes.

  17. An Intelligent Method for Data Classification by Proposing a Value for Fields Missing Any Values On The Basis Of Recommendation Systems and K-Means Clustering

    Directory of Open Access Journals (Sweden)

    Elham Bozorgzadeh

    2016-06-01

    Full Text Available Data-mining is a procedure to extract knowledge from available data, and it has been taken into account in various sciences. All sciences dealing with Data-mining suffer from fields missing the value. when a field misses a value, it is difficulty considered in the algorithms. In other words, when a classifier is designed to locate the samples in their own classification, this feature missing the value creates some problems. Therefore, a procedure must be taken into account to solve this problem, and to increase classification precision. The method proposed in this article ties to fill the fields missing the value. The method proposed in this article includes three basic steps that involve finding similar samples, estimating the fields missing the value and computing the classification precisely after completing the fields missing the value. The results show that the values obtained by proposed method are more efficient than previous methods.

  18. Communication style and exercise compliance in physiotherapy (CONNECT. A cluster randomized controlled trial to test a theory-based intervention to increase chronic low back pain patients’ adherence to physiotherapists’ recommendations: study rationale, design, and methods

    Directory of Open Access Journals (Sweden)

    Lonsdale Chris

    2012-06-01

    Full Text Available Abstract Background Physical activity and exercise therapy are among the accepted clinical rehabilitation guidelines and are recommended self-management strategies for chronic low back pain. However, many back pain sufferers do not adhere to their physiotherapist’s recommendations. Poor patient adherence may decrease the effectiveness of advice and home-based rehabilitation exercises. According to self-determination theory, support from health care practitioners can promote patients’ autonomous motivation and greater long-term behavioral persistence (e.g., adherence to physiotherapists’ recommendations. The aim of this trial is to assess the effect of an intervention designed to increase physiotherapists’ autonomy-supportive communication on low back pain patients’ adherence to physical activity and exercise therapy recommendations. Methods/Design This study will be a single-blinded cluster randomized controlled trial. Outpatient physiotherapy centers (N =12 in Dublin, Ireland (population = 1.25 million will be randomly assigned using a computer-generated algorithm to either the experimental or control arm. Physiotherapists in the experimental arm (two hospitals and four primary care clinics will attend eight hours of communication skills training. Training will include handouts, workbooks, video examples, role-play, and discussion designed to teach physiotherapists how to communicate in a manner that promotes autonomous patient motivation. Physiotherapists in the waitlist control arm (two hospitals and four primary care clinics will not receive this training. Participants (N = 292 with chronic low back pain will complete assessments at baseline, as well as 1 week, 4 weeks, 12 weeks, and 24 weeks after their first physiotherapy appointment. Primary outcomes will include adherence to physiotherapy recommendations, as well as low back pain, function, and well-being. Participants will be blinded to treatment allocation, as

  19. Ubiquitous Multicriteria Clinic Recommendation System.

    Science.gov (United States)

    Chen, Toly

    2016-05-01

    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.

  20. IFCC recommended reference method for the determination of the substance concentration of ionized calcium in undiluted serum, plasma or whole blood

    NARCIS (Netherlands)

    Burnett, RW; Christiansen, TF; Covington, AK; Fogh-Andersen, N; Kulpmann, WR; Lewenstam, A; Maas, AHJ; Muller-Plathe, O; Sachs, C; Siggaard-Andersen, O; VanKessel, AL; Zijlstra, WG

    2000-01-01

    A reference method is described for the determination of the substance concentration of ionized calcium in plasma by which ionized calcium (free or unbound) may be reliably determined on the basis of calibration with aqueous solutions with known concentration of ionized calcium. The composition of t

  1. Distributed Deliberative Recommender Systems

    Science.gov (United States)

    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.

  2. 融合用户兴趣模型与会话抽取的微博推荐方法%Microblog recommendation method based on user interest model and conversation extraction scheme

    Institute of Scientific and Technical Information of China (English)

    马慧芳; 姚伟; 贾美惠子; 崔彤

    2015-01-01

    Aiming at the deficiency of conventional recommendation method in short text message processing,this paper pro-posed a microblog recommendation method based on user interest model and conversation extraction.First,it applied a Ncut_weighted non-negative matrix factorization (Ncut_weighted NMF)to obtain user-interest matrix.And then used Single-Pass clustering based on frequency and correlation for conversation extraction to obtain microblog conversation.Experiments show that this method can effectively cluster micro-blogs and support micro-blog recommendation.%针对传统推荐方法在短文本处理方面的不足,提出一种基于用户兴趣模型与会话抽取算法的微博推荐方法。该方法应用基于归一化割加权NMF的微博用户兴趣模型获取用户—主题矩阵,产生用户感兴趣的微博主题,结合基于Single-Pass 聚类模型的会话在线抽取算法SPFC(single-pass based on frequency and correlation)获取微博的会话队列,并与用户感兴趣的微博主题进行相似度计算,最后得到实时的微博推荐结果。实验表明,此方法能有效地进行微博推荐。

  3. Validated specific HPLC methods for determination of prazosin, terazosin and doxazosin in the presence of degradation products formed under ICH-recommended stress conditions.

    Science.gov (United States)

    Bakshi, Monika; Ojha, Tina; Singh, Saranjit

    2004-01-27

    The present paper describes development of stability-indicating high-performance liquid chromatographic (HPLC) assay methods for three alpha-adrenergic-blocker drug substances, namely, prazosin, terazosin and doxazosin, in the presence of degradation products generated from forced decomposition studies. Resolution of drugs from degradation products was obtained using a reversed-phase C-18 column using water/acetonitrile/methanol/glacial acetic acid/diethylamine (25:35:40:1:0.017) as mobile phase for prazosin and terazosin and acetonitrile/water/glacial acetic acid/diethylamine (65:35:1:0.02) for doxazosin. The detection was done at 254 nm. The methods were validated with respect to linearity, precision, accuracy, specificity and robustness.

  4. Inter-lab comparison of precision and recommended methods for age estimation of Florida manatee (Trichechus manatus latirostris) using growth layer groups in earbones

    OpenAIRE

    Katherine Brill; Miriam Marmontel; Meghan Bolen-Richardson; Robert EA Stewart

    2016-01-01

    Manatees are routinely aged by counting Growth Layer Groups (GLGs) in periotic bones (earbones). Manatee carcasses recovered in Florida between 1974 and 2010 provided age-estimation material for three readers and formed the base for a retrospective analysis of aging precision (repeatability). All readers were in good agreement (high precision) with the greatest apparent source of variation being the result of earbone remodelling with increasing manatee age. Over the same period, methods of sa...

  5. Order Theoretical Semantic Recommendation

    Energy Technology Data Exchange (ETDEWEB)

    Joslyn, Cliff A.; Hogan, Emilie A.; Paulson, Patrick R.; Peterson, Elena S.; Stephan, Eric G.; Thomas, Dennis G.

    2013-07-23

    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.

  6. Petrographic atlas characterisation of aggregates regarding potential reactivity to alkalis : RILEM TC 219-ACS recommended guidance AAR-1.2, for use with the RILEM AAR-1.1 petrographic examination method

    CERN Document Server

    Ribeiro, Maria; Broekmans, Maarten; Sims, Ian

    2016-01-01

    This RILEM AAR 1.2 Atlas is complementary to the petrographic method described in RILEM AAR 1.1. It is designed and intended to assist in the identification of alkali-reactive rock types in concrete aggregate by thin-section petrography. Additional issues include: • optical thin-section petrography conforming to RILEM AAR 1.1 is considered the prime assessment method for aggregate materials, being effective regarding cost and time. Unequivocal identification of minerals in very-fine grained rock types may however require use of supplementary methods. • the atlas adheres to internationally adopted schemes for rock classification and nomenclature, as recommended in AAR 1.1. Thus, rock types are classified as igneous, sedimentary or metamorphic based upon mineral content, microstructure and texture/fabric. • in addition, the atlas identifies known alkali-reactive silica types in each rock type presented. It also identifies consistent coincidence between certain lithologies and silica types; however, it ref...

  7. Archetypal Game Recommender Systems

    DEFF Research Database (Denmark)

    Sifa, Rafet; Bauckhage, C.; Drachen, Anders

    2014-01-01

    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...

  8. Accuracy of recommended sampling and assay methods for the determination of plasma-free and urinary fractionated metanephrines in the diagnosis of pheochromocytoma and paraganglioma: a systematic review.

    Science.gov (United States)

    Därr, Roland; Kuhn, Matthias; Bode, Christoph; Bornstein, Stefan R; Pacak, Karel; Lenders, Jacques W M; Eisenhofer, Graeme

    2017-06-01

    To determine the accuracy of biochemical tests for the diagnosis of pheochromocytoma and paraganglioma. A search of the PubMed database was conducted for English-language articles published between October 1958 and December 2016 on the biochemical diagnosis of pheochromocytoma and paraganglioma using immunoassay methods or high-performance liquid chromatography with coulometric/electrochemical or tandem mass spectrometric detection for measurement of fractionated metanephrines in 24-h urine collections or plasma-free metanephrines obtained under seated or supine blood sampling conditions. Application of the Standards for Reporting of Diagnostic Studies Accuracy Group criteria yielded 23 suitable articles. Summary receiver operating characteristic analysis revealed sensitivities/specificities of 94/93% and 91/93% for measurement of plasma-free metanephrines and urinary fractionated metanephrines using high-performance liquid chromatography or immunoassay methods, respectively. Partial areas under the curve were 0.947 vs. 0.911. Irrespective of the analytical method, sensitivity was significantly higher for supine compared with seated sampling, 95 vs. 89% (p sampling compared with 24-h urine, 95 vs. 90% (p sampling, seated sampling, and urine. Test accuracy increased linearly from 90 to 93% for 24-h urine at prevalence rates of 0.0-1.0, decreased linearly from 94 to 89% for seated sampling and was constant at 95% for supine conditions. Current tests for the biochemical diagnosis of pheochromocytoma and paraganglioma show excellent diagnostic accuracy. Supine sampling conditions and measurement of plasma-free metanephrines using high-performance liquid chromatography with coulometric/electrochemical or tandem mass spectrometric detection provides the highest accuracy at all prevalence rates.

  9. Recommendation Method of Optimal Charging Station for Intelligent Electric Vehicle%智能电动车辆最优充电路径规划方法

    Institute of Scientific and Technical Information of China (English)

    罗禹贡; 严弈遥; 朱陶; 李克强

    2014-01-01

    未来交通环境下,大规模的智能电动车辆将与城市智能交通网和智能配电网相互作用并相互影响。本文将三者有机结合起来,建立了“车-网-路”智能交互系统模型。该模型包括城市中压配电网模型、道路交通网模型和以快速充电方式充电的大规模智能纯电动汽车模型。在此基础上,基于 Dijkstra最短路径算法,提出了具有实时电网和交通信息反馈的智能电动车辆最优充电路径规划方法。最后,通过 MATLAB和 MATPOWER联合仿真系统对该规划方法进行了仿真评价。仿真评价结果表明,本文提出的最优充电路径规划方法,相比目前广泛采用的最近充电路径规划策略,将能有效降低大规模智能电动车辆快速充电对道路交通网和中压配电网的不利影响。%In the future, the intelligent electric vehicle will interact with and influence on the intelligent transportation system and smart distribution grid. In this paper, the large-scale intelligent EVs, intelligent transportation system and the smart distribution grid are combined into one system. The integrated system of medium voltage city distribution grid model containing 3 types of networks, transportation model, and large-scale IEV model is set up. Under this system, an optimal charging route planning method with real-time feedback of transportation and distribution information based on the Dijkstra’s algorithm is raised. On the basis of this method, simulations are carried out using MATLAB and MATPOWER. The simulation results illustrate that, compared to the nearest charging route planning method, the optimal one can decrease the impact of rapid IEV charging on both transportation and distribution.

  10. Card Sorting as Collaborative Method for User-Driven Information Organizing on a Website: Recommendations for Running Collaborative Group Card Sorts in Practice

    Directory of Open Access Journals (Sweden)

    Maria Friis Bjerre

    2015-05-01

    Full Text Available Card sorting is an easy-to-use, quick, inexpensive, yet powerful usability method for information organizing on a website as it generates usable input directly from end-users as to how they would expect to find information on a website. When run collaboratively in groups, the discussion between the users about the content of the cards and their relatedness provides valuable insight into the users’ mental models. Focusing on epistemic asymmetry in the group discussion, this article highlights important issues which may affect the outcome of group card sorting. It is demonstrated that group card sorting demands great attention from the test manager in relation to the composition of the group, i.e. the number of users per group and the users’ educational level and formal organizational positions, in order to ensure a result that is representative of the group as a whole.

  11. Methods and Techniques Used to Convey Total System Performance Assessment Analyses and Results for Site Recommendation at Yucca Mountain, Nevada, USA

    Energy Technology Data Exchange (ETDEWEB)

    P. D. Mattie; J. A. McNeish; D. S. Sevougian; R. W. Andrews

    2001-04-13

    Total System Performance Assessment (TSPA) is used as a key decision-making tool for the potential geologic repository for high level radioactive waste at Yucca Mountain, Nevada, USA. Because of the complexity and uncertainty involved in a post-closure performance assessment, an important goal is to produce a transparent document describing the assumptions, the intermediate steps, the results, and the conclusions of the analyses. An important objective for a TSPA analysis is to illustrate confidence in performance projections of the potential repository given a complex system of interconnected process models, data, and abstractions. The methods and techniques used for the recent TSPA analyses demonstrate an effective process to portray complex models and results with transparency and credibility.

  12. Methods and Techniques Used to Convey Total System Performance Assessment Analyses and Results for Site Recommendation at Yucca Mountain, Nevada, USA

    Energy Technology Data Exchange (ETDEWEB)

    Mattie, Patrick D.; McNeish, Jerry A.; Sevougian, S. David [Duke Engineering and Services, Las Vegas, NV (United States); Andrews, Robert W. [Bechtel SAIC Company, Las Vegas, NV (United States)

    2001-07-01

    Total System Performance Assessment (TSPA) is used as a key decision-making tool for the potential geologic repository of high level radioactive waste at Yucca Mountain, Nevada USA. Because of the complexity and uncertainty involved in a post-closure performance assessment, an important goal is to produce a transparent document describing the assumptions, the intermediate steps, the results, and the conclusions of the analyses. An important objective for a TSPA analysis is to illustrate confidence in performance projections of the potential repository given a complex system of interconnected process models, data, and abstractions. The methods and techniques used for the recent TSPA analyses demonstrate an effective process to portray complex models and results with transparency and credibility.

  13. Recommendations to the NRC for review criteria for alternative methods of low-level radioactive waste disposal: Task 2a, Below-ground vaults

    Energy Technology Data Exchange (ETDEWEB)

    Denson, R.H.; Bennett, R.D.; Wamsley, R.M.; Bean, D.L.; Ainsworth, D.L.

    1987-12-01

    The US Army Engineer Waterways Experiment Station (WES) and the US Army Engineer Division, Huntsville (HNDED) have developed general design criteria and specific design review criteria for the below-ground vault (BGV) alternative method of low-level radioactive waste (LLW) disposal. A BGV is a reinforced concrete vault (floor, walls, and roof) placed underground below the frost line, and above the water table, surrounded by filter blanket and drainage zones and covered with a low permeability earth layer and top soil with vegetation. Eight major review criteria categories have been developed ranging from the loads imposed on the BGV structure through material quality and durability considerations. Specific design review criteria have been developed in detail for seven of the eight major categories. 59 refs., 14 figs., 2 tabs.

  14. Recommendations to the NRC for review criteria for alternative methods of low-level radioactive waste disposal: Task 2b: Earth-mounded concrete bunkers

    Energy Technology Data Exchange (ETDEWEB)

    Denson, R.H.; Bennett, R.D.; Wamsley, R.M.; Bean, D.L.; Ainsworth, D.L.

    1988-01-01

    The US Army Engineers Waterways Experiment Station (WES) and US Army Engineer Division, Huntsville (HNDED) have developed general design criteria and specific design review criteria for the earth-mounded concrete bunker (EMCB) alternative method of low-level radioactive waste (LLW) disposal. An EMCB is generally described as a reinforced concrete vault placed below grade, underneath a tumulus, surrounded by filter-blanket and drainage zones. The tumulus is covered over with a low permeability cover layer and top soil with vegetation. Eight major review criteria categories have been developed ranging from the loads imposed on the EMCB structure through material quality and durability considerations. Specific design review criteria have been developed in detail for each of the eight major categories. 63 refs., 13 figs., 2 tabs.

  15. SU-E-T-670: Radiotherapy Vault Shielding Evaluation Method for a Flattening Filter-Free (FFF) Linac-Practical Considerations and Recommendations

    Energy Technology Data Exchange (ETDEWEB)

    Mihailidis, D [CAMC Cancer Center-Alliance Oncology and West Virginia University, Charleston, WV (United States)

    2015-06-15

    Purpose: To date, there isn’t formal approach for flattening filter-free (FFF) linac vault shielding evaluation, thus, we propose an extension to NCRP#151 to accommodate the recent large number of FFF linac installations.Methods and Materials: We extended the approach in NCRP#151 to design two Truebeam vaults in our new cancer center for hypofractionated treatments. Monte Carlo calculations have characterized primary, scattered, leakage and neutron radiations from FFF-modes. These calculations have shown that: a) FFF primary beam is softer on the central-axis compared to flattening filtered (FF), b) the lateral dose profile is peaked on the central axis and less integral target current is required to generate the same tumor dose with the FF beam. Thus, the TVLs for FFF mode are smaller than those of the FF mode and the scatter functions of the FF mode (NCRP#151) may not be appropriate for FFF-mode, c) the neutron source strength and fluence for 18X-FFF is smaller than 18X-FF, but it is not of a concern here, no 18X-FFF-mode is available on the linac under investigation. Results: These barrier thickness are smaller (12% reduction on the average) than those computed for conventional FF mode with same realistic primary workload since, the primary TVLs used here are smaller and the WL is smaller than the conventional (almost half reduced), keeping the TADR in tolerance. Conclusions: A comprehensive method for shielding barrier calculations based on dedicated data for FFF-mode linacs is highly desired. Meanwhile, we provide an extension to NCRP#151 to accommodate the shielding design of such installations. It is also shown that if a vault is already designed for IMRT/VMAT and SABR hypofractionated treatments with FFF-mode linac, the vault can also be used for a FFF mode linac replacement, leaving some leeway for slightly higher workload on the FFF linac.

  16. 基于粒子群算法的学习路径推荐方法%Recommendation Method for Learning Path Based on Particle Swarm Optimization

    Institute of Scientific and Technical Information of China (English)

    肖会敏; 马彩娟

    2013-01-01

    智能训导系统(ITS)以提高学习者学习自主性,实现个性化的学习过程为目标。学习者的学习偏好根据学习者本身的属性,如学习目的,认知能力等变化。因此,为所有学生设计统一的学习路线已不能很好满足单个学习者的学习需要。首先将学习者进行特征聚类,然后将每个学习者作为一个粒子,将其在学习过程中的路径选择和评价值作为其空间代表值,使用粒子群算法进行个性化学习路径寻优,并通过实验证明其有效性。%Intelligent Tutor System(ITS) aims at improving the learner autonomy,and implementing personalized learning process. Learner’s preference changes with their learning target,cognitive ability and so on. We introduced a method which first organized the leaner through common character,then viewed the learner as a particle in a swarm,using their learn path selection and evaluation as a representative value of its space,used particle swarm optimization(PSO)to make personalized learning path optimization. At the end,we proved the effectiveness of the method through experiment.

  17. Towards Geosocial Recommender Systems

    NARCIS (Netherlands)

    Graaff, de Victor; Keulen, van Maurice; By, de Rolf A.

    2012-01-01

    The usage of social networks sites (SNSs), such as Facebook, and geosocial networks (GSNs), such as Foursquare, has increased tremendously over the past years. The willingness of users to share their current locations and experiences facilitate the creation of geographical recommender systems based

  18. OARSI Clinical Trials Recommendations

    DEFF Research Database (Denmark)

    Emery, C. A.; Roos, Ewa M.; Verhagen, E.;

    2015-01-01

    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...

  19. Privacy in recommender systems

    NARCIS (Netherlands)

    Jeckmans, Arjan; Beye, Michael; Erkin, Zekeriya; Hartel, Pieter; Lagendijk, Reginald; Tang, Qiang; Ramzan, Naeem; Zwol, van Roelof; Lee, Jong-Seok; Clüver, Kai; Hua, Xian-Sheng

    2013-01-01

    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 ta

  20. The ICRP 2007 recommendations

    Energy Technology Data Exchange (ETDEWEB)

    Streffer, C. [Chairman of ICRP Committee 2, Institute of Science and Ethics, University Duisburg-Essen, 45117 Essen (Germany)

    2007-07-01

    The last comprehensive International Commission on Radiological Protection (ICRP) recommendations have been published in 1991(1). Since that time new data in physics and biology that are relevant for radiological protection have appeared in the scientific literature. Also, the general thinking about safety standards at the workplace as well as for the protection of the public has developed. Thus, a review of the recommendations is needed. However, as the present standards have worked well, these new recommendations should build on the present ones. Only a process of further development should take place allowing for the following key points: - new biological and physical information and trends in the setting of safety standards; - improvement in the presentation of the recommendations; as much stability in the recommendations as is consistent with the new information and environmental aspects will be included. The fundamental principles of radiological protection will remain the same as they have been described in ICRP publication 60(1): Justification: Actions involving new exposures or changes in exposures of individuals have to be justified in advance. A positive net benefit must result. Optimisation: Exposures should be as low as reasonably achievable and should be optimised in relation to with dose constraints. Dose limits: The values will not to be changed from Publication 60. Dose constraints: Development of the concept proposed in Publication 60 will be explained. The ICRP Committees have prepared foundation documents in the fields for which they are responsible and their members have the corresponding expertise. These foundation documents will support the decisions and explain the various statements of the Main Commission in a broader sense. Some of them will be published as Annexes to the recommendations (Annex A: Biological and Epidemiological Information on Health Risks Attributable to Ionising Radiation; Annex B: Quantities used in Radiological

  1. Finding and Recommending Scholarly Articles

    Science.gov (United States)

    Kurtz, Michael J.; Henneken, Edwin A.

    2014-05-01

    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.

  2. International recommendation for a comprehensive neuropathologic workup of epilepsy surgery brain tissue: A consensus Task Force report from the ILAE Commission on Diagnostic Methods.

    Science.gov (United States)

    Blümcke, Ingmar; Aronica, Eleonora; Miyata, Hajime; Sarnat, Harvey B; Thom, Maria; Roessler, Karl; Rydenhag, Bertil; Jehi, Lara; Krsek, Pavel; Wiebe, Samuel; Spreafico, Roberto

    2016-03-01

    Epilepsy surgery is an effective treatment in many patients with drug-resistant focal epilepsies. An early decision for surgical therapy is facilitated by a magnetic resonance imaging (MRI)-visible brain lesion congruent with the electrophysiologically abnormal brain region. Recent advances in the pathologic diagnosis and classification of epileptogenic brain lesions are helpful for clinical correlation, outcome stratification, and patient management. However, application of international consensus classification systems to common epileptic pathologies (e.g., focal cortical dysplasia [FCD] and hippocampal sclerosis [HS]) necessitates standardized protocols for neuropathologic workup of epilepsy surgery specimens. To this end, the Task Force of Neuropathology from the International League Against Epilepsy (ILAE) Commission on Diagnostic Methods developed a consensus standard operational procedure for tissue inspection, distribution, and processing. The aims are to provide a systematic framework for histopathologic workup, meeting minimal standards and maximizing current and future opportunities for morphofunctional correlations and molecular studies for both clinical care and research. Whenever feasible, anatomically intact surgical specimens are desirable to enable systematic analysis in selective hippocampectomies, temporal lobe resections, and lesional or nonlesional neocortical samples. Correct orientation of sample and the sample's relation to neurophysiologically aberrant sites requires good communication between pathology and neurosurgical teams. Systematic tissue sampling of 5-mm slabs along a defined anatomic axis and application of a limited immunohistochemical panel will ensure a reliable differential diagnosis of main pathologies encountered in epilepsy surgery.

  3. Recommendations for measuring non-image-forming effects of light: A practical method to apply on cognitive impaired and unaffected participants.

    Science.gov (United States)

    van Duijnhoven, J; Aarts, M P J; Aries, M B C; Böhmer, M N; Rosemann, A L P

    2017-01-01

    The non-image-forming effects of luminous radiation on people with intellectual disabilities or dementia received attention from researchers. Such studies, however, have generally been conducted using disparate methodologies which precludes generalization and reproducibility. The aim of this study was to determine the practical applicability of measurement devices for studies investigating non-image-forming effects of luminous radiation, specifically for people with intellectual disabilities or dementia. In three experiments, ten cognitive impaired people and thirty-nine unaffected subjects participated by wearing one or more portable devices. Six devices were assessed in total. Measurement data was accompanied with user experiences obtained from questionnaires, interviews and observations in order to assess the devices on practical and comfort issues. On average, the devices worn by the cognitive impaired subjects were not experienced as annoying or irritating. No significant differences are found between genders and for one of the portable devices significantly less annoyance was reported by the cognitive impaired participants compared to the unaffected group of participants. The three phases of the research process in towards measuring personal luminous exposures are: selection of the most suitable portable device, application of the assessment method, and the application of the device in the (pilot) study. However, the findings of this study suggest that inaccuracies potentially caused by practical and comfort issues associated with the portable devices need to be considered.

  4. Uncovering the information core in recommender systems

    Science.gov (United States)

    Zeng, Wei; Zeng, An; Liu, Hao; Shang, Ming-Sheng; Zhou, Tao

    2014-08-01

    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.

  5. Recommendations for Foreign Trade Companies Established in Turkey on Making Charter Party Marine Bills of Lading in Accordance with Letter of Credit-L/C Method

    Directory of Open Access Journals (Sweden)

    Ömer Özkan

    2016-03-01

    Full Text Available This study discusses how charter party marine bills of lading should be made in accordance with the letter of credit-L/C method. In an L/C, in order that the obligation of payment of the applicant (issuing bank and of the confirming bank, if any, against the beneficiary can continue, exporting companies are required to prepare documents in accordance with the UCP 600, ISBP 745 and terms of documentary letter of credit and present them properly (complying presentation. In order to prepare appropriate documents, it is essential for the exporting companies to act according to the three important criteria (letter of credit requirements, UCP 600 and ISPB 745 prevailing in this regard. Since competence of complying presentation requires a certain level of expertise, the exporting companies established in Turkey have experienced difficulties in terms of how to prepare documents and could not get benefit from payment obligation undertaking of the applicant bank and of the confirming bank, if any, due to the presentation of discrepant documents, getting export prices late, and payment of extra fees/commissions. Due to trade property, importing company’s demands and the conditions required by the legislation of the country where the exporting company is established, exporting companies are required to prepare many types of documents. In this study, the common mistakes that exporting companies in Turkey made in preparation of the charter party and the other types of B/Ls are analyzed, the basic and critical features of the charter party B/Ls, in particular, are considered and different and common parts compared to other bill of ladings are evaluated and how they can be organized properly according to letter of credit payment is shown.

  6. A PERSONALISED RECOMMENDATION METHOD INTEGRATING LBS AND SOCIAL NETWORK TAG%一种综合 LBS 和社会网络标签的个性化推荐方法

    Institute of Scientific and Technical Information of China (English)

    陈平华; 何婕; 梁琼

    2015-01-01

    针对现有的基于 LBS(Location Based Service)个性化推荐系统在构建用户兴趣模型时存在的缺陷,提出一种综合 LBS 和社会网络标签的个性化推荐(LTCF)方法。通过引入网络标签和用户社会关系,从用户标注的标签资源中找到拥有共同兴趣爱好的用户关系以及从社会网络中找到与目标用户关系紧密的用户,同时结合考虑用户兴趣爱好随空间不断变化的特点,依据协同过滤算法,计算用户社会关系度和用户空间相似性,依此得到目标用户的最近邻集合,在最近邻集基础上给出推荐结果。实验结果表明,相比于传统的基于 LBS 推荐方法,LTCF 模型在查全率和产准率有了显著的提升,能更好地反映出用户偏好,显著提高了推荐准确度。%In light of the shortcomings of existing LBS-based personalised recommendation system in building user interests model,this pa-per proposes a personalised recommendation method which integrates the LBS and social network tag (LTCF).By introducing network tag and users social relations,the method finds from the tag resources marked by users the relationship between users having common interests and hobbies as well as finds from social networks the users having intimate relationship with targeted users.Meanwhile,combining the considera-tion of the feature that users'interests constantly change along with the space and in accordance with collaborative filtering algorithm,the method calculates the social relation degree of users and the similarity of user spaces,then according to these it obtains the nearest neighbour sets of target users,and provides the recommendation results based on the nearest neighbour sets.Experimental results show that compared with traditional LBS-based recommendation method,the LTCF model has noticeable improvement in recall rate and precision product rate and can better reflect users'preferences as well as significantly

  7. 基于位置社交网络中地点聚类推荐方法%The method of spot cluster recommendation in location-based social networks

    Institute of Scientific and Technical Information of China (English)

    李朔; 石宇良

    2016-01-01

    为解决基于位置社交网络中地点推荐时遇到的数据稀疏、冷启动问题,提出一种改进的地点推荐方法,在协同过滤算法的基础上融合了聚类算法,考虑到用户偏好、朋友关系、位置语义等因素,在推荐时取两种算法的优点进行互补。研究的重点是相似度的计算,包括兴趣地点相似度、好友亲密度、词频-逆文档频率、余弦相似性。在Foursquare数据集上以准确率、召回率、单个主题的平均准确率作为度量依据,对提出的方法进行验证。试验证明,本方法有效提高了推荐效果。%In order to solve the data sparse and cold start in spot recommendation in the location-based social networ-king,an improved spot recommendation method was proposed.Based on the clustering algorithm and the collaborative filtering algorithm,the user preferences,friend relations,semantic location and other factors was taken into account. The advantages of the two methods were complemented.The focus of this research was the calculation of similarity, which included location similarity,friends intimacy measure,term frequency inverse document frequency,cosine simi-larity.To verify the proposed methods,precision,recall,mean average precision was used as a measure on Foursquare dataset.The results showed that the proposed method could effectively improve the recommendation effect.

  8. Rheumatologic rehabilitation: towards recommendations

    Directory of Open Access Journals (Sweden)

    S. Maddali Bongi

    2014-11-01

    Full Text Available Rheumatic patients are highly complex and often affected by chronic diseases. Rehabilitation is generally needed for proper management of the underlying disease. This article describes the characteristics of an effective rheumatologic rehabilitation, takes into account data published in international literature, suggests recommendations based on scientific evidence to develop a correct rehabilitation plan for rheumatic patients and proposes the basis to draw up guidelines in the field of rheumatologic rehabilitation.

  9. Recommending Given Names

    CERN Document Server

    Mitzlaff, Folke

    2013-01-01

    All over the world, future parents are facing the task of finding a suitable given name for their child. This choice is influenced by different factors, such as the social context, language, cultural background and especially personal taste. Although this task is omnipresent, little research has been conducted on the analysis and application of interrelations among given names from a data mining perspective. The present work tackles the problem of recommending given names, by firstly mining for inter-name relatedness in data from the Social Web. Based on these results, the name search engine "Nameling" was built, which attracted more than 35,000 users within less than six months, underpinning the relevance of the underlying recommendation task. The accruing usage data is then used for evaluating different state-of-the-art recommendation systems, as well our new \\NR algorithm which we adopted from our previous work on folksonomies and which yields the best results, considering the trade-off between prediction ...

  10. An Online Intervention Comparing a Very Low-Carbohydrate Ketogenic Diet and Lifestyle Recommendations Versus a Plate Method Diet in Overweight Individuals With Type 2 Diabetes: A Randomized Controlled Trial.

    Science.gov (United States)

    Saslow, Laura R; Mason, Ashley E; Kim, Sarah; Goldman, Veronica; Ploutz-Snyder, Robert; Bayandorian, Hovig; Daubenmier, Jennifer; Hecht, Frederick M; Moskowitz, Judith T

    2017-02-13

    Type 2 diabetes is a prevalent, chronic disease for which diet is an integral aspect of treatment. In our previous trial, we found that recommendations to follow a very low-carbohydrate ketogenic diet and to change lifestyle factors (physical activity, sleep, positive affect, mindfulness) helped overweight people with type 2 diabetes or prediabetes improve glycemic control and lose weight. This was an in-person intervention, which could be a barrier for people without the time, flexibility, transportation, social support, and/or financial resources to attend. The aim was to determine whether an online intervention based on our previous recommendations (an ad libitum very low-carbohydrate ketogenic diet with lifestyle factors; "intervention") or an online diet program based on the American Diabetes Associations' "Create Your Plate" diet ("control") would improve glycemic control and other health outcomes among overweight individuals with type 2 diabetes. In this pilot feasibility study, we randomized overweight adults (body mass index ≥25) with type 2 diabetes (glycated hemoglobin [HbA1c] 6.5%-9.0%) to a 32-week online intervention based on our previous recommendations (n=12) or an online diet program based around a plate method diet (n=13) to assess the impact of each intervention on glycemic control and other health outcomes. Primary and secondary outcomes were analyzed by mixed-effects linear regression to compare outcomes by group. At 32 weeks, participants in the intervention group reduced their HbA1c levels more (estimated marginal mean [EMM] -0.8%, 95% CI -1.1% to -0.6%) than participants in the control group (EMM -0.3%, 95% CI -0.6% to 0.0%; P=.002). More than half of the participants in the intervention group (6/11, 55%) lowered their HbA1c to less than 6.5% versus 0% (0/8) in the control group (P=.02). Participants in the intervention group lost more weight (EMM -12.7 kg, 95% CI -16.1 to -9.2 kg) than participants in the control group (EMM -3.0 kg, 95

  11. Estimating Probabilities in Recommendation Systems

    CERN Document Server

    Sun, Mingxuan; Kidwell, Paul

    2010-01-01

    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 computation schemes using combinatorial properties of generating functions. We demonstrate our approach with several case studies involving real world movie recommendation data. The results are comparable with state-of-the-art techniques while also providing probabilistic preference estimates outside the scope of traditional recommender systems.

  12. Content-Based Book Recommending Using Learning for Text Categorization

    OpenAIRE

    Mooney, Raymond J.; Roy, Loriene

    1999-01-01

    Recommender systems improve access to relevant products and information by making personalized suggestions based on previous examples of a user's likes and dislikes. Most existing recommender systems use social filtering methods that base recommendations on other users' preferences. By contrast, content-based methods use information about an item itself to make suggestions. This approach has the advantage of being able to recommended previously unrated items to users with unique interests and...

  13. Personalized professional content recommendation

    Science.gov (United States)

    Xu, Songhua

    2015-10-27

    A personalized content recommendation system includes a client interface configured to automatically monitor a user's information data stream transmitted on the Internet. A hybrid contextual behavioral and collaborative personal interest inference engine resident to a non-transient media generates automatic predictions about the interests of individual users of the system. A database server retains the user's personal interest profile based on a plurality of monitored information. The system also includes a server programmed to filter items in an incoming information stream with the personal interest profile and is further programmed to identify only those items of the incoming information stream that substantially match the personal interest profile.

  14. Clinical Recommendation: Vulvovaginitis.

    Science.gov (United States)

    Zuckerman, Andrea; Romano, Mary

    2016-12-01

    Vulvovaginitis is a commonly encountered condition among prepubertal and adolescent females. The objective of this report is to provide the latest evidence regarding the diagnosis and management of vulvovaginitis in prepubertal and adolescent females. In this systematic review we used the Grading of Recommendations Assessment, Development and Evaluation evidence system. Vulvovaginal complaints are common in the pediatric and adolescent age group. The patient's age in conjunction with history and associated complaints will guide evaluation, diagnosis, and treatment. Treatment should include counseling on hygiene and voiding techniques as well as therapy for any specific pathogens identified.

  15. Archetypal Game Recommender Systems

    DEFF Research Database (Denmark)

    Sifa, Rafet; Bauckhage, C.; Drachen, Anders

    2014-01-01

    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...

  16. Mining and representing recommendations in actively evolving recommender systems

    DEFF Research Database (Denmark)

    Assent, Ira

    2010-01-01

    ) 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......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...... 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....

  17. Ebola virus: recommendations

    CERN Multimedia

    CERN Medical Service

    2014-01-01

    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...

  18. Maximizing profit using recommender systems

    CERN Document Server

    Das, Aparna; Ricketts, Daniel

    2009-01-01

    Traditional recommendation systems make recommendations based solely on the customer's past purchases, product ratings and demographic data without considering the profitability the items being recommended. In this work we study the question of how a vendor can directly incorporate the profitability of items into its recommender so as to maximize its expected profit while still providing accurate recommendations. Our approach uses the output of any traditional recommender system and adjust them according to item profitabilities. Our approach is parameterized so the vendor can control how much the recommendation incorporating profits can deviate from the traditional recommendation. We study our approach under two settings and show that it achieves approximately 22% more profit than traditional recommendations.

  19. Wind Farm Recommendation Report

    Energy Technology Data Exchange (ETDEWEB)

    John Reisenauer

    2011-05-01

    On April 21, 2011, an Idaho National Laboratory (INL) Land Use Committee meeting was convened to develop a wind farm recommendation for the Executive Council and a list of proposed actions for proceeding with the recommendation. In terms of land use, the INL Land Use Committee unanimously agrees that Site 6 is the preferred location of the alternatives presented for an INL wind farm. However, further studies and resolution to questions raised (stated in this report) by the INL Land Use Committee are needed for the preferred location. Studies include, but are not limited to, wind viability (6 months), bats (2 years), and the visual impact of the wind farm. In addition, cultural resource surveys and consultation (1 month) and the National Environmental Policy Act process (9 to 12 months) need to be completed. Furthermore, there is no documented evidence of developers expressing interest in constructing a small wind farm on INL, nor a specific list of expectations or concessions for which a developer might expect INL to cover the cost. To date, INL assumes the National Environmental Policy Act activities will be paid for by the Department of Energy and INL (the environmental assessment has only received partial funding). However, other concessions also may be expected by developers such as roads, fencing, power line installation, tie-ins to substations, annual maintenance, snow removal, access control, down-time, and remediation. These types of concessions have not been documented, as a request, from a developer and INL has not identified the short and long-term cost liabilities for such concessions should a developer expect INL to cover these costs. INL has not identified a go-no-go funding level or the priority this Wind Farm Project might have with respect to other nuclear-related projects, should the wind farm remain an unfunded mandate. The Land Use Committee recommends Legal be consulted to determine what, if any, liabilities exist with the Wind Farm Project and

  20. Indica Hybrid Rice Recommended Fertilization Parameter Based on Nutrient Balance Method in Guizhou%基于养分平衡法的贵州籼型杂交稻推荐施肥参数

    Institute of Scientific and Technical Information of China (English)

    韩峰; 李莉婕; 彭志良; 高雪; 陈海燕; 刘文峰; 赵泽英; 童倩倩

    2014-01-01

    To obtain Guizhou recommended indica hybrid rice fertilization parameters and form the localized,precise fertilization technology system of rice with high quality and high yield,"3414"fertilizer effect and nutrient test values of plant and soil of each fertilization zoning in Guizhou recently were analyzed, then fertilization parameters such as nutrient uptake, soil nutrient supply and fertilizer utilization rate of rice in different fertilization zoning were established.Based on the nutrient balance method,soil fertilizer consumption and rice fertilizer requirement were determined, and the designed fertilizer formula was used,so that the average alignment between actual yield and setting target yield of prescript fertilization zoning was 93.89%.The determing of recommend fertilization parameters which is helpful to improve the imperfect fertilization technology system of rice, provides some basis for rice prenatal fertilizer and fertilizer formula design,and increases the reliability of the recommend fertilization technology solutions.%为确定本土化的水稻推荐施肥参数,建立施肥指标体系,对近年来贵州各施肥分区“3414”肥料效应田间试验数据进行分析,建立不同施肥分区下籼型杂交稻的养分吸收量、土壤有效养分校正系数、肥料当季利用率等施肥参数。结果表明,利用养分平衡法确定土壤供肥量和水稻需肥量,设计肥料配方,配方施肥区实际产量与设定的目标产量的平均吻合度为93.89%。推荐施肥参数的确定解决了水稻施肥指标体系不系统或缺失的问题,为水稻产前定肥和肥料配方设计提供依据,提高了推荐施肥技术方案的可靠性。

  1. An Online Intervention Comparing a Very Low-Carbohydrate Ketogenic Diet and Lifestyle Recommendations Versus a Plate Method Diet in Overweight Individuals With Type 2 Diabetes: A Randomized Controlled Trial

    Science.gov (United States)

    Mason, Ashley E; Kim, Sarah; Goldman, Veronica; Ploutz-Snyder, Robert; Bayandorian, Hovig; Daubenmier, Jennifer

    2017-01-01

    Background Type 2 diabetes is a prevalent, chronic disease for which diet is an integral aspect of treatment. In our previous trial, we found that recommendations to follow a very low-carbohydrate ketogenic diet and to change lifestyle factors (physical activity, sleep, positive affect, mindfulness) helped overweight people with type 2 diabetes or prediabetes improve glycemic control and lose weight. This was an in-person intervention, which could be a barrier for people without the time, flexibility, transportation, social support, and/or financial resources to attend. Objective The aim was to determine whether an online intervention based on our previous recommendations (an ad libitum very low-carbohydrate ketogenic diet with lifestyle factors; “intervention”) or an online diet program based on the American Diabetes Associations’ “Create Your Plate” diet (“control”) would improve glycemic control and other health outcomes among overweight individuals with type 2 diabetes. Methods In this pilot feasibility study, we randomized overweight adults (body mass index ≥25) with type 2 diabetes (glycated hemoglobin [HbA1c] 6.5%-9.0%) to a 32-week online intervention based on our previous recommendations (n=12) or an online diet program based around a plate method diet (n=13) to assess the impact of each intervention on glycemic control and other health outcomes. Primary and secondary outcomes were analyzed by mixed-effects linear regression to compare outcomes by group. Results At 32 weeks, participants in the intervention group reduced their HbA1c levels more (estimated marginal mean [EMM] –0.8%, 95% CI –1.1% to –0.6%) than participants in the control group (EMM –0.3%, 95% CI –0.6% to 0.0%; P=.002). More than half of the participants in the intervention group (6/11, 55%) lowered their HbA1c to less than 6.5% versus 0% (0/8) in the control group (P=.02). Participants in the intervention group lost more weight (EMM –12.7 kg, 95% CI –16.1 to

  2. Recommendation Process in SR1 Web Document Recommender System

    OpenAIRE

    Munteanu, Dan

    2008-01-01

    This paper presents a recommender system for web documents (given as bookmarks). The system uses for classification a combination of content, event and collaborative filters and for recommendation a modified Pearson-r algorithm. The algorithm for recommendation is using not only the correlation between users but also the similarity between classes. Some experimental results that support this approach are also presented.

  3. Personalized professional content recommendation

    Energy Technology Data Exchange (ETDEWEB)

    Xu, Songhua

    2015-10-27

    A personalized content recommendation system includes a client interface configured to automatically monitor a user's information data stream transmitted on the Internet. A hybrid contextual behavioral and collaborative personal interest inference engine resident to a non-transient media generates automatic predictions about the interests of individual users of the system. A database server retains the user's personal interest profile based on a plurality of monitored information. The system also includes a server programmed to filter items in an incoming information stream with the personal interest profile and is further programmed to identify only those items of the incoming information stream that substantially match the personal interest profile.

  4. On Imprecise Investment Recommendations

    Directory of Open Access Journals (Sweden)

    Piasecki Krzysztof

    2014-08-01

    Full Text Available The return rate is considered here as a fuzzy probabilistic set. Then the expected return is obtained as a fuzzy subset in the real line. This result is a theoretical foundation for new investment strategies. All considered strategies result of comparison profit fuzzy index and limit value. In this way we obtain an imprecise investment recommendation. Financial equilibrium criteria are a special case of comparison of the profit index and the limit value. The following criteria are generalized here: the Sharpe's Ratio, the Jensen's Alpha and the Treynor's Ratio. Moreover, the safety-first criteria are generalized here for the fuzzy case. The Roy Criterion, the Kataoka Criterion and the Telser Criterion are also generalized. Obtained results show that proposed theory is useful for the investment applications.

  5. "Highly recommended introduction"

    DEFF Research Database (Denmark)

    Christiansen, Ask Vest

    2009-01-01

    by detachment, normatively and morally. Besides researching the actual abuse, individually and in aggregate, they also study structural circumstances that promote the use of drugs in sports; besides evaluations of the efficacy of the anti-doping efforts, they consider the effects of various anti-doping schemes...... on the integrity and privacy of the athletes. Ask Vest Christiansen, himself an internationally renowned scholar in the field, has read a recent, thus detached, introduction to drug use in sports, An Introduction to Drugs in Sport: Addicted to Winning by Ivan Waddington and Andy Smith (Routledge). Christiansen...... finds much to appreciate in the book, and a couple of disconcerting mistakes and misjudgments notwithstanding, he recommends the book as a solid introduction to the problem of doping – knowledgeable, well written and easy to read....

  6. OARSI Clinical Trials Recommendations

    DEFF Research Database (Denmark)

    Kraus, V B; Blanco, F J; Englund, M

    2015-01-01

    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...... of reasons but in particular, to determine whether biomarkers are useful in identifying those individuals most likely to receive clinically important benefits from an intervention; and to determine whether biomarkers are useful for identifying individuals at earlier stages of OA in order to institute...... 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...

  7. Recommendation in evolving online networks

    Science.gov (United States)

    Hu, Xiao; Zeng, An; Shang, Ming-Sheng

    2016-02-01

    Recommender system is an effective tool to find the most relevant information for online users. By analyzing the historical selection records of users, recommender system predicts the most likely future links in the user-item network and accordingly constructs a personalized recommendation list for each user. So far, the recommendation process is mostly investigated in static user-item networks. In this paper, we propose a model which allows us to examine the performance of the state-of-the-art recommendation algorithms in evolving networks. We find that the recommendation accuracy in general decreases with time if the evolution of the online network fully depends on the recommendation. Interestingly, some randomness in users' choice can significantly improve the long-term accuracy of the recommendation algorithm. When a hybrid recommendation algorithm is applied, we find that the optimal parameter gradually shifts towards the diversity-favoring recommendation algorithm, indicating that recommendation diversity is essential to keep a high long-term recommendation accuracy. Finally, we confirm our conclusions by studying the recommendation on networks with the real evolution data.

  8. Aggregation method of recommender systems with way of sparse matrix reduction by sociality structure%推荐系统中显式评分输入的用户聚类方法研究

    Institute of Scientific and Technical Information of China (English)

    崔春生

    2011-01-01

    Started in the sparse matrix of recommender systems, and ensured the recommended coverage rate. Based on the I-dea of sociality density, improved the accuracy by matrix reduction. With the user ratings matrix which had been normalized, transformed the consistency score matrix. Meanwhile, with the concept of sociality, got an aggregation analysis result based on user similarity score preferences through adjusting the matrix. Computed the sociality densities by constructing a sociality network diagram. Selected the maximum as the cluster centers, and used the compact and separation effect functions to validate the reliability of aggregation results. Compared to other method, the method reduces the computational complexity. Meanwhile , with the test of Movielens, the method is accuracy and effectiveness in a certain degree.%从推荐系统的矩阵稀疏性问题出发,在保证推荐的覆盖率基础上,借助社区密度的思想并通过矩阵约简来提高推荐的准确率.运用归一化处理的用户评分矩阵对一致性的评分矩阵进行了改造,并借助社区的概念通过矩阵调整得到了一种基于用户相似评分偏好的聚类分析结果;通过构造社区网络结构图得到社区密度,并选择其中的最大值作为聚类中心,运用紧致与分离性效果函数验证了聚类结果的可靠性.该方法的提出,在不损害已有信息的基础上降低了计算复杂度,通过Movielens的数据检验了该方法在一定程度上的正确性和有效性.

  9. National Recommended Water Quality Criteria

    Data.gov (United States)

    U.S. Environmental Protection Agency — The National Recommended Water Quality Criteria is a compilation of national recommended water quality criteria for the protection of aquatic life and human health...

  10. Classification of Recommender Expertise in the Wikipedia Recommender System

    DEFF Research Database (Denmark)

    Jensen, Christian D.; Pilkauskas, Povilas; Lefévre, Thomas

    2011-01-01

    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...... ratings reflected the average competence of recommenders across all subject areas. We have now developed a new version of the WRS, which evaluates the expertise of recommenders within different subject areas. In order to do this, we need to identify a way to classify the subject area of all the articles...

  11. RECOMMENDATION SYSTEM USING BLOOM FILTER IN MAPREDUCE

    Directory of Open Access Journals (Sweden)

    Reena Pagare

    2013-11-01

    Full Text Available Many clients like to use the Web to discover product details in the form of online reviews. The reviews are provided by other clients and specialists. Recommender systems provide an important response to the information overload problem as it presents users more practical and personalized information facilities. Collaborative filtering methods are vital component in recommender systems as they generate high-quality recommendations by influencing the likings of society of similar users. The collaborative filtering method has assumption that people having same tastes choose the same items. The conventional collaborative filtering system has drawbacks as sparse data problem & lack of scalability. A new recommender system is required to deal with the sparse data problem & produce high quality recommendations in large scale mobile environment. MapReduce is a programming model which is widely used for large-scale data analysis. The described algorithm of recommendation mechanism for mobile commerce is user based collaborative filtering using MapReduce which reduces scalability problem in conventional CF system. One of the essential operations for the data analysis is join operation. But MapReduce is not very competent to execute the join operation as it always uses all records in the datasets where only small fraction of datasets are applicable for the join operation. This problem can be reduced by applying bloomjoin algorithm. The bloom filters are constructed and used to filter out redundant intermediate records. The proposed algorithm using bloom filter will reduce the number of intermediate results and will improve the join performance.

  12. Urgent recommendation. Interim report

    Energy Technology Data Exchange (ETDEWEB)

    Nakano, Masayuki [International Affairs and Safeguards Division, Atomic Energy Bureau, Science and Technology Agency, Tokyo (Japan)

    2000-12-01

    The Investigation Committee for Critical Accident at Uranium Processing Plant was founded immediately after the accident to investigate the cause of the accident and to establish measures to prevent the similar accident. On September 30, 1999 around 10:35, the Japan's first criticality accident occurred at JCO Co. Ltd. Uranium processing plant (auxiliary conversion plant) located at Tokai-mura Ibaraki-ken. The criticality continued on and off for approximately 20 hours after the first instantaneous criticality. The accident led the recommendation of tentative evacuation and sheltering indoors for residents living in the neighborhood. The serious exposure to neutrons happened to three workers. The dominant effect is dose due to neutrons and gamma rays from the precipitation tank. When the accident took place, three workers dissolved sequentially about 2.4 kg uranium powder with 18.8 % enrichment in the 10-litter bucket with nitric acid. The procedure of homogenization of uranium nitrate was supposed to be controlled using the shape-limited narrow storage column. Actually, however, the thick and large precipitation tank was used. As a result, about 16.6 kg of uranium was fed into the tank, which presumably caused criticality. The first notification by JCO was delayed and the following communication was not smooth. This led to the delay of correct understanding of the situation and made the initial proper response difficult, then followed by insufficient communication between the nation, prefecture, and local authority. Urgent recommendations were made on the following items; (1) Safety measures to be taken at the accident site, (2) health cares for residents and others, (3) Comprehensive safety securing at nuclear operators such as Establishment of the effective audit system, Safety education for employees and Qualification and licensing system, Safety related documents, etc. (4) Reconstruction of the government's safety regulations such as How safety

  13. 社会化标签系统中基于本体的个性化推荐方法研究%Research on Personalized Recommendation Method Based on Ontology of Social

    Institute of Scientific and Technical Information of China (English)

    闫婧

    2015-01-01

    【目的】捕捉用户兴趣的动态性变化,优化个性化信息推荐效果。【应用背景】高效的个性化信息推荐方法可以根据用户行为特征主动为用户提供合适的信息资源,使信息的获取和利用更加快捷、准确。【方法】以“新浪微博”为例,通过挖掘用户及其关注者的微博数据,提取标签,计算二者兴趣相似度及亲密度,确定用户兴趣标签并优化标签描述,从而构建用户个性化“轻量级”本体,使得语义网资源能够准确地投放到用户界面。【结果】有效缓解了信息爆炸式增长所造成的“信息迷航”现象。【局限】微博数据中的杂音(广告转发、多语言描述)、数据不充分等,可能影响标签提取的准确性。%Objective] to capture the dynamic change of the user interest, to optimize the effect of personalized information recommendation. [background] Application of personalized information recommendation based on user behavior characteristics of the active method can provide the right information resources for users, so the acquisition and use of information is more efifcient, accurate. [method] Taking "Sina micro-blog" as an example, through the data mining of micro-blog, users and their followers label extraction, calculation of two interest similarity and intimacy, determine the user label and optimize the description tag, so as to construct a personalized "lightweight" ontology, the semantic web resource can accurately put into the user interface. [results] to effectively alleviate the explosive growth of information caused by the phenomenon of "information". [Limited] micro-blog data noise (AD forwarding, multi language), the lack of data, may affect the accuracy of label extraction.

  14. Do recommender systems benefit users?

    CERN Document Server

    Yeung, Chi Ho

    2015-01-01

    Recommender systems are present in many web applications to guide our choices. They increase sales and benefit sellers, but whether they benefit customers by providing relevant products is questionable. Here we introduce a model to examine the benefit of recommender systems for users, and found that recommendations from the system can be equivalent to random draws if one relies too strongly on the system. Nevertheless, with sufficient information about user preferences, recommendations become accurate and an abrupt transition to this accurate regime is observed for some algorithms. On the other hand, we found that a high accuracy evaluated by common accuracy metrics does not necessarily correspond to a high real accuracy nor a benefit for users, which serves as an alarm for operators and researchers of recommender systems. 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 ...

  15. [Recommendations for neonatal transport].

    Science.gov (United States)

    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

    2013-08-01

    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.

  16. A Top-N Recommender System Evaluation Protocol Inspired by Deployed Systems

    NARCIS (Netherlands)

    Said, A.; Bellogín Kouki, A.; Vries, A.P. de

    2013-01-01

    The evaluation of recommender systems is crucial for their development. In today's recommendation landscape there are many standardized recommendation algorithms and approaches, however, there exists no standardized method for experimental setup of evaluation -- not even for widely used measures suc

  17. Classification of Recommender Expertise in the Wikipedia Recommender System

    DEFF Research Database (Denmark)

    Jensen, Christian D.; Pilkauskas, Povilas; Lefevre, Thomas

    2011-01-01

    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...... 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...... ratings reflected the average competence of recommenders across all subject areas. We have now developed a new version of the WRS, which evaluates the expertise of recommenders within different subject areas. In order to do this, we need to identify a way to classify the subject area of all the articles...

  18. Recent developments in affective recommender systems

    Science.gov (United States)

    Katarya, Rahul; Verma, Om Prakash

    2016-11-01

    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.

  19. Recommendation Process in SR1 Web Document Recommender System

    Directory of Open Access Journals (Sweden)

    Dan MUNTEANU

    2008-12-01

    Full Text Available This paper presents a recommender system for web documents (given as bookmarks. The system uses for classification a combination of content, event and collaborative filters and for recommendation a modified Pearson-r algorithm. The algorithm for recommendation is using not only the correlation between users but also the similarity between classes. Some experimental results that support this approach are also presented.

  20. Design Review Improvement Recommendations

    Science.gov (United States)

    2015-06-18

    address the Software Development Review Process given the uniqueness of the CMMI Process. The Software Development Process is extensively covered in...reality places increased burdens upon the reviewers to speed things up, a direct contrast to what they should be doing which is methodically ...interfaces between prime and subcontractors 15 • Analytical methods used for predicted margins During the design review the above data / information

  1. Economic assessment of nutritional recommendations.

    Science.gov (United States)

    Irz, Xavier; Leroy, Pascal; Réquillart, Vincent; Soler, Louis-Georges

    2015-01-01

    The effect of consumers' compliance with nutritional recommendations is uncertain because of potentially complex substitutions. To lift this uncertainty, we adapt a model of consumer behaviour under rationing to the case of linear nutritional constraints. Dietary adjustments are derived from information on consumer preferences, consumption levels, and nutritional contents of foods. A calibration exercise simulates, for different income groups, how the French diet would respond to various nutrition recommendations, and those behavioural adjustments are translated into health outcomes through the DIETRON epidemiological model. This allows for the ex-ante comparison of the efficiency, equity and health effects of ten nutritional recommendations. Although most recommendations impose significant taste costs on consumers, they are highly cost-effective, with the recommendations targeting salt, saturated fat, and fruits and vegetables (F&V) ranking highest in terms of efficiency. Most recommendations are also economically progressive, with the exception of that targeting F&V.

  2. Trust-aware recommendation for improving aggregate diversity

    Science.gov (United States)

    Liu, Haifeng; Bai, Xiaomei; Yang, Zhuo; Tolba, Amr; Xia, Feng

    2015-10-01

    Recommender systems are becoming increasingly important and prevalent because of the ability of solving information overload. In recent years, researchers are paying increasing attention to aggregate diversity as a key metric beyond accuracy, because improving aggregate recommendation diversity may increase long tails and sales diversity. Trust is often used to improve recommendation accuracy. However, how to utilize trust to improve aggregate recommendation diversity is unexplored. In this paper, we focus on solving this problem and propose a novel trust-aware recommendation method by incorporating time factor into similarity computation. The rationale underlying the proposed method is that, trustees with later creation time of trust relation can bring more diverse items to recommend to their trustors than other trustees with earlier creation time of trust relation. Through relevant experiments on publicly available dataset, we demonstrate that the proposed method outperforms the baseline method in terms of aggregate diversity while maintaining almost the same recall.

  3. Recommendation Sets and Choice Queries

    DEFF Research Database (Denmark)

    Viappiani, Paolo Renato; Boutilier, Craig

    2011-01-01

    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....

  4. 2016 updated MASCC/ESMO consensus recommendations

    DEFF Research Database (Denmark)

    Roila, Fausto; Warr, David; Hesketh, Paul J

    2017-01-01

    PURPOSE: An update of the recommendations for the prophylaxis of acute and delayed emesis induced by moderately emetogenic chemotherapy published after the last MASCC/ESMO antiemetic consensus conference in 2009 has been carried out. METHODS: A systematic literature search using PubMed from Janua...

  5. Feature Analysis of Recommender Techniques Employed in the Recommendation Engines

    Directory of Open Access Journals (Sweden)

    Gopinath Ganapathy

    2010-01-01

    Full Text Available Problem statement: Recommender Systems (RS have become a widely researched area as it is extensively used in web usage mining and E-commerce platforms. Approach: There were a number of recommender systems available to suggest the web pages for the web users. Results: A recommender system acted as an intelligent intermediary that automatically generates and predicts information and web pages, which suit the users’ behavior and users’ needs. Conclusion: The various recommender models and analyzing the key features of those models and analyzing the features of portal sites that employ recommender systems to help the research community are the key features of this study and survey.

  6. Contemporaneous International Asthma Guidelines Present Differing Recommendations: An Analysis.

    Science.gov (United States)

    Gupta, Samir; Paolucci, Emily; Kaplan, Alan; Boulet, Louis-Philippe

    2016-01-01

    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.

  7. Contemporaneous International Asthma Guidelines Present Differing Recommendations: An Analysis

    Directory of Open Access Journals (Sweden)

    Samir Gupta

    2016-01-01

    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.

  8. Customized recommendation system based on constraint satisfaction method for personalized suits%基于约束满足的个性化西服定制推荐系统

    Institute of Scientific and Technical Information of China (English)

    石美红; 艾磊; 李维乾; 赵辉; 王春兰; 高晓娟

    2015-01-01

    针对个性化西服定制系统中客户需求的局限性、客户参与度不足的问题,在分析客户个性化需求、西服设计要素、情感因子的基础上,通过交互日志挖掘,采用有限状态机技术描述客户需求的会话交互行为模型,并运用约束满足理论和多属性效用理论,开发一种基于约束满足和情感效用的个性化西服定制推荐系统。在服装企业应用结果表明,该系统能够有效地获取客户个性化需求,提升了客户参与度,增强了西服定制结果的可信度。%Due to the problems of limitations of customers′demands ,and a shortage of customer partici‐pation ,the personalized demands customers of design elements and emotional factors for a suit were analyzed .A conversational interaction model based on finite state machine for requirement acquirement was constructed through mining existing interactive log in order to fully express customers personal‐ized demands .A customized recommendation system based on constraint satisfaction method and emo‐tional utility was developed by using multi‐attribute utility theory .An application in a clothing enter‐prise shows that constructing the system improves customer elicitation ,customer participation and re‐liability of customization results .

  9. Context-Aware Recommender Systems

    Science.gov (United States)

    Adomavicius, Gediminas; Tuzhilin, Alexander

    The importance of contextual information has been recognized by researchers and practitioners in many disciplines, including e-commerce personalization, information retrieval, ubiquitous and mobile computing, data mining, marketing, and management. While a substantial amount of research has already been performed in the area of recommender systems, most existing approaches focus on recommending the most relevant items to users without taking into account any additional contextual information, such as time, location, or the company of other people (e.g., for watching movies or dining out). In this chapter we argue that relevant contextual information does matter in recommender systems and that it is important to take this information into account when providing recommendations. We discuss the general notion of context and how it can be modeled in recommender systems. Furthermore, we introduce three different algorithmic paradigms - contextual prefiltering, post-filtering, and modeling - for incorporating contextual information into the recommendation process, discuss the possibilities of combining several contextaware recommendation techniques into a single unifying approach, and provide a case study of one such combined approach. Finally, we present additional capabilities for context-aware recommenders and discuss important and promising directions for future research.

  10. Personalized Recommendation via Suppressing Excessive Diffusion

    Directory of Open Access Journals (Sweden)

    Guilin Chen

    2017-01-01

    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.

  11. Nutrition recommendations and science: next parallel steps.

    Science.gov (United States)

    Fogelholm, Mikael

    2016-03-15

    This article examines nutrition recommendations in relation to developments in nutrition science. Combining data on the genome, metabolome and microbiota is likely to open possibilities for personalized nutrition planning, but we are still far from practical applications. However, even these new steps are unlikely to challenge the role and importance of population-based nutrition recommendations as a tool to promote dietary patterns, policies and public health. Developments in science could help in deriving more benefits from nutrition recommendations. For instance, improved accuracy of dietary intake assessment is needed both for surveillance and for understanding the quantitative interplay between diet and health. Applying metabolomics together with food diaries or questionnaires, and also modern technologies such as digital photography, are potentially interesting methods in this respect. Research on consumer behaviour, attitudes and policy interventions, such as taxation of unhealthy foods and nutrition labelling, are needed to gain more insight into how to change eating behaviour for better health at the population level.

  12. Personalized Tag Recommendation Using Social Influence

    Institute of Scientific and Technical Information of China (English)

    Jun Hu; Bing Wang; Yu Liu; De-Yi Li

    2012-01-01

    Tag recommendation encourages users to add more tags in bridging the semantic gap between human concept and the features of media object,which provides a feasible solution for content-based multimedia information retrieval.In this paper,we study personalized tag recommendation in a popular online photo sharing site Flickr.Social relationship information of users is collected to generate an online social network. From the perspective of network topology,we propose node topological potential to characterize user's social influence.With this metric,we distinguish different social relations between users and find out those who really have influence on the target users.Tag recommendations are based on tagging history and the latent personalized preference learned from those who have most influence in user's social network.We evaluate our method on large scale real-world data.The experimental results demonstrate that our method can outperform the non-personalized global co-occurrence method and other two state-of-the-art personalized approaches using social networks.We also analyze the further usage of our approach for the cold-start problem of tag recommendation.

  13. Research on Text Resource Recommendation Method Based on Ontology and LDA Topic Model%基于本体与LDA主题模型的文本资源推荐方法研究

    Institute of Scientific and Technical Information of China (English)

    祝婷; 秦春秀; 马晓悦; 李祖海

    2015-01-01

    为了解决基于LDA主题模型的推荐结果总是局限在同一主题范围内从而在一定程度上限制了推荐惊喜度的问题。将本体引入到基于LDA主题模型的文本资源推荐中,通过本体扩展LDA模型的主题得到关联主题,然后考虑关联主题在文本中的分布概率,结合加权后的关联主题给予用户最终的推荐。实验结果表明,引入本体后,基于LDA主题模型的推荐惊喜度有了明显的提高。%The recommended results based on LDA topic model are always confined to the same topic, and the recommended serendipity is limited to a certain extent. To solve the problem, ontology is introduced into text resource recommendation based on LDA topic model. Firstly, related topics are achieved according to extended topics of LDA topic model. Then, it considers the distribution probability of the related topics in the text. Finally, text recommendation is conducted combined with weighted related topics. The experimental results show that recommendation serendipity based on ontology and LDA topic model is significantly improved.

  14. 一种基于模糊信息熵的协同过滤推荐方法%A method of collaborative filtering recommendation based on fuzzy information entropy

    Institute of Scientific and Technical Information of China (English)

    林耀进; 张佳; 林梦雷; 王娟

    2016-01-01

    The performance of collaborative filtering was restricted by the sparsity of rating data.To solve this problem, a novel similarity measure based on fuzzy mutual information was proposed.First,the definition of user fuzzy informa-tion entropy was given to reflect the uncertainty degree of rating preference.Then,the fuzzy mutual information be-tween users was introduced to measure the similarity degree between users.Finally,the fuzzy information entropy based on similarity measure method was designed to calculate the similarity between users by considering not only the fuzzy mutual information between users but also user fuzzy information entropy.Experimental results on two benchmark data sets showed that the fuzzy information entropy based similarity measure method could reduce the influence of the data sparsity,and the recommendation performance of systems had significant improvements.%针对评分数据的稀疏性制约协同过滤推荐性能的情况,提出一种新的相似性度量方法。首先,定义了用户的模糊信息熵以反映用户评分偏好的不确定程度;其次,利用两两用户的模糊互信息衡量用户之间的相似程度;最后,同时考虑用户之间的模糊互信息和用户的模糊信息熵,并设计一种基于模糊信息熵的相似性度量方法以计算用户之间的相似性。在两个公开数据集上的试验结果表明:基于模糊信息熵的相似性度量方法能够降低数据稀疏性的影响,并能显著提高推荐系统的推荐性能。

  15. Hybrid Recommender System for Joining Virtual Communities

    Directory of Open Access Journals (Sweden)

    Leila Esmaeili

    2012-03-01

    Full Text Available The variety of social networks and virtual communities has created problematic for users of different ages and preferences; in addition, since the true nature of groups is not clearly outlined, users are uncertain about joining various virtual groups and usually face the trouble of joining the undesired ones. As a solution, in this study, we introduced the hybrid community recommender system which offers customized recommendations based on user preferences. Although techniques such as content based filtering and collaborative filtering methods are available, these techniques are not enough efficient and in some cases make problems and bring limitations to users. Our method is based on a combination of content based filtering and collaborative filtering methods. It is created by selecting related features of users based on supervised entropy as well as using association rules and classification method. Supposing users in each community or group share similar characteristics, by hierarchical clustering, heterogeneous members are identified and removed. Unlike other methods, this is also applicable for users who have just joined the social network where they do not have any connections or group memberships. In such situations, this method could still offer recommendations.

  16. Offering A Product Recommendation System in E-commerce

    CERN Document Server

    Dutta, Ruma

    2011-01-01

    This paper proposes a number of explicit and implicit ratings in product recommendation system for Business-to-customer e-commerce purposes. The system recommends the products to a new user. It depends on the purchase pattern of previous users whose purchase pattern is close to that of a user who asks for a recommendation. The system is based on weighted cosine similarity measure to find out the closest user profile among the profiles of all users in database. It also implements Association rule mining rule in recommending the products. Also, this product recommendation system takes into consideration the time of transaction of purchasing the items, thus eliminating sequence recognition problem. Experimental result shows for implicit rating, the proposed method gives acceptable performance in recommending the products. It also shows introduction of association rule improves the performance measure of recommendation system.

  17. COLLABORATIVE WEB RECOMMENDATION SYSTEMS BASED ON AN EFFECTIVE FUZZY ASSOCIATION RULE MINING ALGORITHM (FARM)

    OpenAIRE

    Dr. P. THAMBIDURAI; A.KUMAR,

    2010-01-01

    With increasing popularity of the web-based systems that are applied in many different areas, they tend to deliver customized informationfor their users by means of utilization of recommendation methods. This recommendation system is mainly classified into two groups:Content-based recommendation and collaborative recommendation system. Content based recommendation tries to recommend web sites similar to those web sites the user has liked, whereas collaborative ecommendation tries to find som...

  18. 76 FR 81 - Adoption of Recommendation

    Science.gov (United States)

    2011-01-03

    ...; ] ADMINISTRATIVE CONFERENCE OF THE UNITED STATES Adoption of Recommendation AGENCY: Administrative Conference of... the attached recommendation at its Fifty-third Plenary Session. The recommendation addresses issues... makes recommendations for improvements to the agencies, collectively or individually, and to...

  19. Group Recommendation Based on the PageRank

    Directory of Open Access Journals (Sweden)

    Jing Wang

    2012-12-01

    Full Text Available Social network greatly improve the social recommendation application, especially the study of group recommendation. The group recommendation, analyze the social factors of the group, such as social and trust relationship between users, as the factors for the prediction model established. In this paper, PageRank algorithm is introduced in the recommendation method to calculate the member’s importance in the group respectively, and to amend the aggregate function of individual preferences. The aggregate function consider the relationship between various users in the group, and optimize the aggregate function according to users different influence on the group, which can better reflect the social characteristics of group. In short, the study on group recommended model and algorithm can take the initiative to find the user's needs. Extensive experiments demonstrate the effectiveness and efficiency of the methods, which improve the prediction accuracy of the group recommended algorithms.

  20. Management recommendations: Lee Metcalf Refuge

    Data.gov (United States)

    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...

  1. Disability: recommendations for eye programmes

    Directory of Open Access Journals (Sweden)

    2013-05-01

    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.

  2. Management recommendations: Sand Lake Complex

    Data.gov (United States)

    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...

  3. Strategic Arrivals Recommendation Tool Project

    Data.gov (United States)

    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...

  4. Management recommendations: Benton Lake Complex

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This document is a review of land management practices at the Benton Lake Complex, by a land use specialist. Recommendations, time frame and additional comments are...

  5. Dietary Recommendations for Healthy Children

    Science.gov (United States)

    ... Restaurant Deciphering the Menu Ordering Your Meal Eating Fast Food Dining Out Tips by Cuisine Physical Activity Fitness ... Food and Beverage Toolkit Dietary Recommendations for Healthy Children Updated:Jul 22,2016 The American Heart Association ...

  6. RECOMMENDER SYSTEMS IN SOCIAL NETWORKS

    Directory of Open Access Journals (Sweden)

    Cleomar Valois Batista Jr

    2011-12-01

    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.

  7. Recommended Practices for Spreadsheet Testing

    CERN Document Server

    Panko, Raymond R

    2006-01-01

    This paper presents the authors recommended practices for spreadsheet testing. Documented spreadsheet error rates are unacceptable in corporations today. Although improvements are needed throughout the systems development life cycle, credible improvement programs must include comprehensive testing. Several forms of testing are possible, but logic inspection is recommended for module testing. Logic inspection appears to be feasible for spreadsheet developers to do, and logic inspection appears to be safe and effective.

  8. Tourism recommendation system: empirical investigation

    OpenAIRE

    Petrevska, Biljana; Saso KOCESKI

    2012-01-01

    The paper makes an attempt to justify the necessity of implementing recommendation system which will assist tourists in identification of their ideal holiday. The proposed recommendation system based on collaborative filtering notes positive impulses in the case of Macedonia. A software module is developed being capable to generate a personalized list of favorable and tailor-made items. The research outcomes indicate that the designed national tourism web portal can provide satisfactory perfo...

  9. User Profiling for Recommendation System

    OpenAIRE

    Kanoje, Sumitkumar; Girase, Sheetal; Mukhopadhyay, Debajyoti

    2015-01-01

    Recommendation system is a type of information filtering systems that recommend various objects from a vast variety and quantity of items which are of the user interest. This results in guiding an individual in personalized way to interesting or useful objects in a large space of possible options. Such systems also help many businesses to achieve more profits to sustain in their filed against their rivals. But looking at the amount of information which a business holds it becomes difficult to...

  10. Recommendations

    DEFF Research Database (Denmark)

    Baumeister, Ruth

    2016-01-01

    This article discusses three book publications: C. Kerez: Uncertain Certainty, Tokyo, 2013 H. Hertzberger: Lessons for students in architecture, Rotterdam, 2006, (1991) A. Jorn: Om Formen, Silkeborg, 2014, (1958)...

  11. Interdisciplinary recommendations document to improve adherence in patients with chronic inflammatory diseases: Adhing recommendations

    Directory of Open Access Journals (Sweden)

    Fernando Bermejo San José

    2016-12-01

    Full Text Available Objective: Patient compliance in chronic inflammatory diseases is essential to achieve treatment effectiveness. The study objective is to develop a recommendations document for healthcare professionals to encourage treatment compliance. Methods: A sequential methodology was followed: 1. Systematic review of EBM Reviews, Embase and MedLine without time restriction of interventions on compliance in chronic inflammatory diseases. Studies were selected according to previously defined criteria (confirmed diagnosis of chronic inflammatory disease of patients included, assessment of adherence interventions and experimental study design. 2. Three expert workshops (hospital pharmacy, nursing and medical specialties to elaborate recommendations. 3. Expert online voting about the degree of agreement with recommendations. 4. Final face to face consensus workshop. Results: A total of 1 115 papers were identified, 84 were fully reviewed and 30 were selected according to criteria. A preli minary list of 8 recommendations based on evidence was developed and discussed in the expert workshops. As a result, a new version of 14 recommendations was created. Later, online voting showed a high degree of agreement among experts: 7 out of 14 recommendations obtained unanimous approval; in the other 7, 1 to 3 experts were partially in disagreement. Recommendations without unanimous agreement were further reviewed and modified in the face to face meeting and final recommendations were approved unanimously. Conclusions: This consensus statement gathers all relevant aspects to be interdisciplinary considered to detect, monitor and assess medication adherence, involving the patient in the process. Further studies are needed to assess the impact of interventions to improve compliance in patients with chronic inflammatory diseases both in terms of adherence and in health outcomes

  12. Effective Mechanism for Social Recommendation of News

    CERN Document Server

    Wei, Dong; Cimini, Giulio; Wu, Pei; Liu, Weiping; Zhang, Yi-Cheng

    2011-01-01

    Recommendation systems represent an important tool for news distribution on the Internet. In this work we modify a recently proposed social recommendation model in order to deal with no explicit ratings of users on news. The model consists of a network of users which continually adapts in order to achieve an efficient news traffic. To optimize network's topology we propose different stochastic algorithms that are scalable with respect to the network's size. Agent-based simulations reveal the features and the performance of these algorithms. To overcome the resultant drawbacks of each method we introduce two improved algorithms and show that they can optimize network's topology almost as fast and effectively as other not-scalable methods that make use of much more information.

  13. Classification of Recommender Expertise in the Wikipedia Recommender System

    DEFF Research Database (Denmark)

    Jensen, Christian D.; Pilkauskas, Povilas; Lefévre, Thomas

    2011-01-01

    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...... ratings reflected the average competence of recommenders across all subject areas. We have now developed a new version of the WRS, which evaluates the expertise of recommenders within different subject areas. In order to do this, we need to identify a way to classify the subject area of all the articles......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...

  14. An improved recommendation algorithm via weakening indirect linkage effect

    Science.gov (United States)

    Chen, Guang; Qiu, Tian; Shen, Xiao-Quan

    2015-07-01

    We propose an indirect-link-weakened mass diffusion method (IMD), by considering the indirect linkage and the source object heterogeneity effect in the mass diffusion (MD) recommendation method. Experimental results on the MovieLens, Netflix, and RYM datasets show that, the IMD method greatly improves both the recommendation accuracy and diversity, compared with a heterogeneity-weakened MD method (HMD), which only considers the source object heterogeneity. Moreover, the recommendation accuracy of the cold objects is also better elevated in the IMD than the HMD method. It suggests that eliminating the redundancy induced by the indirect linkages could have a prominent effect on the recommendation efficiency in the MD method. Project supported by the National Natural Science Foundation of China (Grant No. 11175079) and the Young Scientist Training Project of Jiangxi Province, China (Grant No. 20133BCB23017).

  15. Check-up examination: recommendations in adults.

    Science.gov (United States)

    Virgini, Vanessa; Meindl-Fridez, Claudine; Battegay, Edouard; Zimmerli, Lukas U

    2015-01-01

    Check-up examinations, or periodic health examinations (PHEs), have gained in importance during the last decades and are nowadays among the most common reasons for consultations in primary care settings. The aim of PHEs is to identify risk factors and early signs of disease, but also to prevent future illness by early intervention. Therefore, each PHE should include counselling, immunisation and physical examination according to the patient's age and gender. However, deciding whether to screen a patient and choosing the most appropriate screening method can be challenging for general practitioners. The U.S. Preventive Service Task Force (USPSTF) provides updated recommendations on different existing preventive care measures based on relevant literature review. The aim of this review is to provide an updated statement of recommendations regarding preventive care measures based mostly on the guidelines derived from the USPSTF and the Swiss Medical Board. Among the major updates, there is no recommendation anymore to routinely screen for breast cancer and prostate cancer in asymptomatic adults. Since 2013, however, the USPSTF recommends annual screening for lung cancer with low-dose CT in patients aged 55 to 80 years with a smoking history of ≥30 pack years. During PHEs, the physician should be alert to the patients' hidden agendas, which are the reason for one third of all consultations in primary care.

  16. DNA commission of the International Society of Forensic Genetics: Recommendations on the evaluation of STR typing results that may include drop-out and/or drop-in using probabilistic methods

    Science.gov (United States)

    Gill, P.; Gusmão, L.; Haned, H.; Mayr, W.R.; Morling, N.; Parson, W.; Prieto, L.; Prinz, M.; Schneider, H.; Schneider, P.M.; Weir, B.S.

    2015-01-01

    DNA profiling of biological material from scenes of crimes is often complicated because the amount of DNA is limited and the quality of the DNA may be compromised. Furthermore, the sensitivity of STR typing kits has been continuously improved to detect low level DNA traces. This may lead to (1) partial DNA profiles and (2) detection of additional alleles. There are two key phenomena to consider: allelic or locus ‘drop-out’, i.e. ‘missing’ alleles at one or more genetic loci, while ‘drop-in’ may explain alleles in the DNA profile that are additional to the assumed main contributor(s). The drop-in phenomenon is restricted to 1 or 2 alleles per profile. If multiple alleles are observed at more than two loci then these are considered as alleles from an extra contributor and analysis can proceed as a mixture of two or more contributors. Here, we give recommendations on how to estimate probabilities considering drop-out, Pr(D), and drop-in, Pr(C). For reasons of clarity, we have deliberately restricted the current recommendations considering drop-out and/or drop-in at only one locus. Furthermore, we offer recommendations on how to use Pr(D) and Pr(C) with the likelihood ratio principles that are generally recommended by the International Society of Forensic Genetics (ISFG) as measure of the weight of the evidence in forensic genetics. Examples of calculations are included. An Excel spreadsheet is provided so that scientists and laboratories may explore the models and input their own data. PMID:22864188

  17. DNA commission of the International Society of Forensic Genetics: Recommendations on the evaluation of STR typing results that may include drop-out and/or drop-in using probabilistic methods.

    Science.gov (United States)

    Gill, P; Gusmão, L; Haned, H; Mayr, W R; Morling, N; Parson, W; Prieto, L; Prinz, M; Schneider, H; Schneider, P M; Weir, B S

    2012-12-01

    DNA profiling of biological material from scenes of crimes is often complicated because the amount of DNA is limited and the quality of the DNA may be compromised. Furthermore, the sensitivity of STR typing kits has been continuously improved to detect low level DNA traces. This may lead to (1) partial DNA profiles and (2) detection of additional alleles. There are two key phenomena to consider: allelic or locus 'drop-out', i.e. 'missing' alleles at one or more genetic loci, while 'drop-in' may explain alleles in the DNA profile that are additional to the assumed main contributor(s). The drop-in phenomenon is restricted to 1 or 2 alleles per profile. If multiple alleles are observed at more than two loci then these are considered as alleles from an extra contributor and analysis can proceed as a mixture of two or more contributors. Here, we give recommendations on how to estimate probabilities considering drop-out, Pr(D), and drop-in, Pr(C). For reasons of clarity, we have deliberately restricted the current recommendations considering drop-out and/or drop-in at only one locus. Furthermore, we offer recommendations on how to use Pr(D) and Pr(C) with the likelihood ratio principles that are generally recommended by the International Society of Forensic Genetics (ISFG) as measure of the weight of the evidence in forensic genetics. Examples of calculations are included. An Excel spreadsheet is provided so that scientists and laboratories may explore the models and input their own data. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

  18. The APOSTEL recommendations for reporting quantitative optical coherence tomography studies

    DEFF Research Database (Denmark)

    Cruz-Herranz, Andrés; Balk, Lisanne J; Oberwahrenbrock, Timm

    2016-01-01

    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...

  19. Empirical Study and Model of User Acceptance for Personalized Recommendation

    Directory of Open Access Journals (Sweden)

    Zheng Hua

    2013-02-01

    Full Text Available Personalized recommendation technology plays an important role in the current e-commerce system, but the user willingness to accept the personalized recommendation and its influencing factors need to be study. In this study, the Theory of Reasoned Action (TRA and Technology Acceptance Model (TAM are used to construct a user acceptance model of personalized recommendation which tested by the empirical method. The results show that perceived usefulness, perceived ease of use, subjective rules and trust tend had an impact on personalized recommendation.

  20. An Improved Adaptive model for Information Recommending and Spreading

    Institute of Scientific and Technical Information of China (English)

    CHEN Duan-Bing; GAO Hui

    2012-01-01

    People in the Internet era have to cope with information overload and expend great effort on finding what they need.Recent experiments indicate that recommendations based on users' past activities are usually less favored than those based on social relationships,and thus many researchers have proposed adaptive algorithms on social recommendation.However,in those methods,quite a number of users have little chance to recommend information,which might prevent valuable information from spreading.We present an improved algorithm that allows more users to have enough followers to spread information.Experimental results demonstrate that both recommendation precision and spreading effectiveness of our method can be improved significantly.%People in the Internet era have to cope with information overload and expend great effort on finding what they need. Recent experiments indicate that recommendations based on users' past activities are usually less favored than those based on social relationships, and thus many researchers have proposed adaptive algorithms on social recommendation. However, in those methods, quite a number of users have little chance to recommend information, which might prevent valuable information from spreading. We present an improved algorithm that allows more users to have enough followers to spread information. Experimental results demonstrate that both recommendation precision and spreading effectiveness of our method can be improved significantly.

  1. Solving the stability-accuracy-diversity dilemma of recommender systems

    Science.gov (United States)

    Hou, Lei; Liu, Kecheng; Liu, Jianguo; Zhang, Runtong

    2017-02-01

    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.

  2. Virtual goods recommendations in virtual worlds.

    Science.gov (United States)

    Chen, Kuan-Yu; Liao, Hsiu-Yu; Chen, Jyun-Hung; Liu, Duen-Ren

    2015-01-01

    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.

  3. Virtual Goods Recommendations in Virtual Worlds

    Directory of Open Access Journals (Sweden)

    Kuan-Yu Chen

    2015-01-01

    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.

  4. Recommender Systems using Graph Theory

    Directory of Open Access Journals (Sweden)

    Vishal Venkatraman

    2013-08-01

    Full Text Available Recommender systems have become one of the important tools in E-Commerce. They combine the ratings of services or products by one user with the ratings from other users to answer similar interest queries with predictions and suggestions. The users thus receive anonymous recommendations from people similar interests. Even though this process seems unobjectionable, it aggregates user preferences, which can be tapped to recognise information about a particular user. Users who rate products or services across different types or domains in the systems are the major victims for this exploitation. We could determine the advantages and risks by performing a detailed analysis with a particular recommendation algorithm, but it would be difficult to draw general conclusions from this approach. In this paper, we aim for an algorithm independent analysis by applying a graph-theoretic model. By employing this model, we show that a user benefits most from recommendations based on similarity between the various products rated by the users. This paper tries to draw a graph through the various items rated by the users and finds the items that are most common among the user and his friends which is then recommended to him.

  5. A NEW HYBRID ALGORITHM FOR BUSINESS INTELLIGENCE RECOMMENDER SYSTEM

    Directory of Open Access Journals (Sweden)

    P.Prabhu

    2014-03-01

    Full Text Available Business Intelligence is a set of methods, process and technologies that transform raw data into meaningful and useful information. Recommender system is one of business intelligence system that is used to obtain knowledge to the active user for better decision making. Recommender systems apply data mining techniques to the problem of making personalized recommendations for information. Due to the growth in the number of information and the users in recent years offers challenges in recommender systems. Collaborative, content, demographic and knowledge-based are four different types of recommendations systems. In this paper, a new hybrid algorithm is proposed for recommender system which combines knowledge based, profile of the users and most frequent item mining technique to obtain intelligence.

  6. A Retrospective Analysis Comparing the New Standardized Letter of Recommendation in Dermatology with the Classic Narrative Letter of Recommendation.

    Science.gov (United States)

    Kaffenberger, Jessica A; Mosser, Joy; Lee, Grace; Pootrakul, Llana; Harfmann, Katya; Fabbro, Stephanie; Faith, Esteban Fernandez; Carr, David; Plotner, Alisha; Zirwas, Matthew; Kaffenberger, Benjamin H

    2016-09-01

    Background: In an effort to avoid numerous problems associated with narrative letters of recommendation, a dermatology standardized letter of recommendation was utilized in the 2014-2015 resident application cycle. Objective: A comparison of the standardized letter of recommendation and narrative letters of recommendation from a single institution and application cycle to determine if the standardized letter of recommendation met its original goals of efficiency, applicant stratification, and validity. Methods: Eight dermatologists assessed all standardized letters of recommendation/narrative letters of recommendation pairs received during the 2014-2015 application cycle. Five readers repeated the analysis two months later. Each letter of recommendation was evaluated based on a seven question survey. Letter analysis and survey completion for each letter was timed. Results: Compared to the narrative letters of recommendation, the standardized letter of recommendation is easier to interpret (precommendation are also faster to interpret (precommendation (precommendation appears to be meeting its initial goals of 1) efficiency, 2) applicant stratification, and 3) validity. (J Clin Aesthet Dermatol. 2016;9(9):36-2.).

  7. The essential role of time in network-based recommendation

    CERN Document Server

    Vidmer, Alexandre

    2016-01-01

    Random walks on bipartite networks have been used extensively to design personalized recommendation methods. While aging has been identified as a key component in the growth of information networks, most research has focused on the networks' structural properties and neglected the often available time information. Time has been largely ignored both by the investigated recommendation methods as well as by the methodology used to evaluate them. We show that this time-unaware approach overestimates the methods' recommendation performance. Motivated by microscopic rules of network growth, we propose a time-aware modification of an existing recommendation method and show that by combining the temporal and structural aspects, it outperforms the existing methods. The performance improvements are particularly striking in systems with fast aging.

  8. The essential role of time in network-based recommendation

    Science.gov (United States)

    Vidmer, Alexandre; Medo, Matúš

    2016-11-01

    Random walks on bipartite networks have been used extensively to design personalized recommendation methods. While aging has been identified as a key component in the growth of information networks, most research has focused on the networks' structural properties and neglected the often available time information. Time has been largely ignored both by the investigated recommendation methods as well as by the methodology used to evaluate them. We show that this time-unaware approach overestimates the methods' recommendation performance. Motivated by microscopic rules of network growth, we propose a time-aware modification of an existing recommendation method and show that by combining the temporal and structural aspects, it outperforms the existing methods. The performance improvements are particularly striking in systems with fast aging.

  9. TOURISM RECOMMENDATION SYSTEM: EMPIRICAL INVESTIGATION

    Directory of Open Access Journals (Sweden)

    Biljana PETREVSKA

    2012-12-01

    Full Text Available The paper makes an attempt to justify the necessity of implementing recommendation system which will assist tourists in identification of their ideal holiday. The proposed recommendation system based on collaborative filtering notes positive impulses in the case of Macedonia. A software module is developed being capable to generate a personalized list of favorable and tailor-made items. The research outcomes indicate that the designed national tourism web portal can provide satisfactory performance and may be of high importance to all key-tourism actors in the process of identifying measures necessary for creating competitive tourism product.

  10. Recommendation based on trust diffusion model.

    Science.gov (United States)

    Yuan, Jinfeng; Li, Li

    2014-01-01

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

  11. Improved Recommendations Based on Trust Relationships in Social Networks

    Directory of Open Access Journals (Sweden)

    Hao Tian

    2017-03-01

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

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

    Science.gov (United States)

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

    2017-08-01

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

  13. Random walk models for top-N recommendation task

    Institute of Scientific and Technical Information of China (English)

    Yin ZHANG; Jiang-qin WU; Yue-ting ZHUANG

    2009-01-01

    Recently there has been an increasing interest in applying random walk based methods to recommender systems.We employ a Gaussian random field to model the top-N recommendation task as a semi-supervised learning problem.taking into account the degree of each node on the user-item bipartite graph,and induce an effective absorbing random walk (ARW) algorithm for the top-N recommendation task.Our random walk approach directly generates the top-N recommendations for individuals,rather than predicting the ratings of the recommendations.Experimental results on the two real data sets show that our random walk algorithm significantly outperforms the state-of-the-art random walk based personalized ranking algorithm as well as the popular item-based collaborative filtering method.

  14. A Location-Based Business Information Recommendation Algorithm

    Directory of Open Access Journals (Sweden)

    Shudong Liu

    2015-01-01

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

  15. Record Recommendations for the CERN Document Server

    CERN Document Server

    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...

  16. The ageing practitioner: ANZCA's recommendations.

    Science.gov (United States)

    Baker, A B

    2016-04-01

    The aim is to present recommendations of the Australian and New Zealand College of Anaesthetists (ANZCA) with respect to practice implications for ageing specialists, together with brief discussion of effects of ageing on professional medical capabilities and recommendations on preparing to retire from medical practice. Practitioners should recognise that planning for retirement is part of good management of a medical career, and that the ageing process will inevitably compromise their ability to treat patients safely unless they retire at the appropriate time. Planning should include adequate financial preparation, and cultivation of interests and friends outside medicine. Practitioners should also realise that insight is likely to be compromised, so that they should seek colleagues who are trusted to advise them if/when they begin to lose competency. Lastly all practitioners should ensure that they consult a General Practitioner frequently, and that they have arranged all the proper legal instructions such as a Will, a Power of Attorney and an Advanced Health Directive.The ANZCA recommendations concerning ageing specialists have wide application to all medical specialties, not just for anaesthetists, and therefore all Medical Colleges should generate their own specific recommendations for ageing practitioners and the general effects of fatigue particularly for aged practitioners. © The Royal Australian and New Zealand College of Psychiatrists 2015.

  17. EULAR recommendations for the management of large vessel vasculitis

    NARCIS (Netherlands)

    Mukhtyar, C.; Guillevin, L.; Cid, M. C.; Dasgupta, B.; de Groot, K.; Gross, W.; Hauser, T.; Hellmich, B.; Jayne, D.; Kallenberg, C. G. M.; Merkel, P. A.; Raspe, H.; Salvarani, C.; Scott, D. G. I.; Stegeman, C.; Watts, R.; Westman, K.; Witter, J.; Yazici, H.; Luqmani, R.

    Objectives: To develop European League Against Rheumatism (EULAR) recommendations for the management of large vessel vasculitis. Methods: An expert group (10 rheumatologists, 3 nephrologists, 2 immunolgists, 2 internists representing 8 European countries and the USA, a clinical epidemiologist and a

  18. A Study on Multiattribute Aggregation Approaches to Product Recommendation

    Directory of Open Access Journals (Sweden)

    Jing-Zhong Jin

    2013-01-01

    Full Text Available In today’s increasingly competitive market, consumers usually have to face a huge number of products with different designs but having the same use. Therefore, an important problem for manufacturers is to attract consumers by special designs of the products. This paper aims at the improvement of a consumer-oriented approach in recommending products, and proposing a recommendation system for Japanese traditional crafts based on target-oriented fuzzy method and ontological engineering. Specifically, a target-oriented fuzzy method is used for measuring the fitness of a selected attribute to a certain object. Two aggregation models for dealing with a multiattribute evaluation and ranking are introduced; four ranking methods are also examined for getting a recommendation list. To test the aggregation models and the ranking methods, a recommendation system was developed and a comparison test was conducted.

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

    Directory of Open Access Journals (Sweden)

    K.Latha

    2010-10-01

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

  20. Marketing Recommender Systems: A New Approach in Digital Economy

    Directory of Open Access Journals (Sweden)

    Loredana MOCEAN

    2012-01-01

    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.

  1. Emoticon Recommendation System to Richen Your Online Communication

    OpenAIRE

    Urabe, Yuki; Rzepka, Rafal; Araki, Kenji

    2014-01-01

    Japanese emoticons are widely used to express users' feelings and intentions in social media, blogs and instant messages. Japanese smartphone keypads have a feature that shows a list of emoticons, enabling users to insert emoticons simply by touching them. However, this list of emoticons contains more than 200, which is difficult to choose from, so a method to reorder the list and recommend appropriate emoticons to users is necessary. This paper proposes an emoticon recommendation method base...

  2. Hybrid Recommender System Based on Personal Behavior Mining

    OpenAIRE

    Fang, Zhiyuan; Zhang, Lingqi; Chen, Kun

    2016-01-01

    Recommender systems are mostly well known for their applications in e-commerce sites and are mostly static models. Classical personalized recommender algorithm includes item-based collaborative filtering method applied in Amazon, matrix factorization based collaborative filtering algorithm from Netflix, etc. In this article, we hope to combine traditional model with behavior pattern extraction method. We use desensitized mobile transaction record provided by T-mall, Alibaba to build a hybrid ...

  3. [Methods of development of recommendations for clinical practice (RCP) and of setting-up of a platform cancer heart vessels (PTF-CHV) in the inter3C Vaucluse-Arles].

    Science.gov (United States)

    Debourdeau, Philippe; Meuleman, Catherine; Dufaitre, Ghislaine; Laroche, Jean-Pierre; Slama, Borhane; Chebrek, Safia; Aboukhoudir, Falah; Mège, Alice; Dotigny, Robert; Serin, Daniel

    2015-11-01

    Monitoring and prevention of cardiovascular complications of anti-neoplastic treatment are currently well known for anthracyclines and trastuzumab but remain poorly implemented. The management of cardiac and vascular side effects of targeted therapies is not codified. The purpose of the platform heart-vessel cancer is to optimize the management of such complications within a small area (Vaucluse region of Arles). The platform will offer prescribers an easily accessible database, doctors performing exams standardized monitoring forms and patients a uniform follow-up. We report here the methodology of the elaboration of recommendations for clinical practice and the ways to develop the platform. After a year of active process, an analysis of the will be performed to see opportunities for improvement and dissemination on a larger scale. Copyright © 2015 Société Française du Cancer. Published by Elsevier Masson SAS. All rights reserved.

  4. 一种基于用户偏好自动分类的社会媒体共享和推荐方法%A User Preference Based Automatic Potential Group Generation Method for Social Media Sharing and Recommendation

    Institute of Scientific and Technical Information of China (English)

    贾大文; 曾承; 彭智勇; 成鹏; 阳志敏; 卢舟

    2012-01-01

    Social media applications have become the mainstream of Web application. User-oriented and content generated by users are pivotal characteristics of social media sites. Data sharing and recommendation approaches play an important role in dealing with the problem of information overload in social media environment. In this paper, we analyze the flaws of current group-based information sharing mechanism and the common problem of traditional recommender approaches, and then we propose a novel approach of group automatic generating for social media sharing and recommendation. Intuitively, the essential idea of our approach is that we switch user's preference from the media objects to the interest elements which media objects imply. Then we gather the users who have common preference, namely users have the same interestingness in a set of interest elements, together as Common Preference Group (CPG). We also propose a new social media data sharing and recommendation system architecture based on CPG and design a CPG automatic mining algorithm. By compare our CPG mining algorithm with other algorithm which has similar functionality, it is shown that our algorithm could be applicable to real social media application with massive users.%社会媒体应用已成为Web应用的主流,以用户为中心并且海量媒体数据由用户自生成是社会媒体Web应用的重要特征.应对目前社会媒体环境中信息过载的问题,信息的共享和推荐机制发挥着重要的作用.文中分析了目前主流社会媒体网站基于用户自建组的信息共享机制所存在的问题以及传统推荐技术在效率上的问题,提出了一种新的基于用户偏好自动分类的社会媒体数据共享和推荐方法.直观上讲,该方法的本质是把用户对具体媒体对象的偏好转化成用户对媒体对象所蕴含兴趣元素的偏好,然后把具有相同偏好的用户,即对若干兴趣元素上的兴趣度都相同,自动聚

  5. IVOA Recommendation: IVOA Support Interfaces

    CERN Document Server

    Graham, Matthew; Grid,

    2011-01-01

    This document describes the minimum interface that a (SOAP- or REST-based) web service requires to participate in the IVOA. Note that this is not required of standard VO services developed prior to this specification, although uptake is strongly encouraged on any subsequent revision. All new standard VO services, however, must feature a VOSI-compliant interface. This document has been produced by the Grid and Web Services Working Group. It has been reviewed by IVOA Members and other interested parties, and has been endorsed by the IVOA Executive Committee as an IVOA Recommendation. It is a stable document and may be used as reference material or cited as a normative reference from another document. IVOA's role in making the Recommendation is to draw attention to the specification and to promote its widespread deployment. This enhances the functionality and interoperability inside the Astronomical Community.

  6. Scientific and educational recommender systems

    Science.gov (United States)

    Guseva, A. I.; Kireev, V. S.; Bochkarev, P. V.; Kuznetsov, I. A.; Philippov, S. A.

    2017-01-01

    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.

  7. Personalized recommendation based on heat bidirectional transfer

    Science.gov (United States)

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

    2016-02-01

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

  8. Recommendation system for trip planning

    OpenAIRE

    Hlupič, Marko

    2011-01-01

    The thesis describes a web application used for recommending tourist destinations and trip planning. Given that one location offers several tourist attractions and activities, the destination is divided into a location, containing only the name and the corresponding region, and the possible activity that could take place in that location. The users choose some activities and later on decide whether these locations met their expectations or not. The application is divided into two parts: the f...

  9. APLAR rheumatoid arthritis treatment recommendations.

    Science.gov (United States)

    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

    2015-09-01

    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.

  10. Similarity-Based Recommendation of New Concepts to a Terminology.

    Science.gov (United States)

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

    Terminologies can suffer from poor concept coverage due to delays in addition of new concepts. This study tests a similarity-based approach to recommending concepts from a text corpus to a terminology. Our approach involves extraction of candidate concepts from a given text corpus, which are represented using a set of features. The model learns the important features to characterize a concept and recommends new concepts to a terminology. Further, we propose a cost-effective evaluation methodology to estimate the effectiveness of terminology enrichment methods. To test our methodology, we use the clinical trial eligibility criteria free-text as an example text corpus to recommend concepts for SNOMED CT. We computed precision at various rank intervals to measure the performance of the methods. Results indicate that our automated algorithm is an effective method for concept recommendation.

  11. Similarity-Based Recommendation of New Concepts to a Terminology

    Science.gov (United States)

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

    2015-01-01

    Terminologies can suffer from poor concept coverage due to delays in addition of new concepts. This study tests a similarity-based approach to recommending concepts from a text corpus to a terminology. Our approach involves extraction of candidate concepts from a given text corpus, which are represented using a set of features. The model learns the important features to characterize a concept and recommends new concepts to a terminology. Further, we propose a cost-effective evaluation methodology to estimate the effectiveness of terminology enrichment methods. To test our methodology, we use the clinical trial eligibility criteria free-text as an example text corpus to recommend concepts for SNOMED CT. We computed precision at various rank intervals to measure the performance of the methods. Results indicate that our automated algorithm is an effective method for concept recommendation. PMID:26958170

  12. AN EFFECTIVE RECOMMENDATIONS BY DIFFUSION ALGORITHM FOR WEB GRAPH MINING

    Directory of Open Access Journals (Sweden)

    S. Vasukipriya

    2013-04-01

    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.

  13. Effects of Social Influence in Peer Online Recommendation

    CERN Document Server

    Hogg, Tad

    2014-01-01

    Web site providers often use peer recommendation to help people find interesting content. A common method for leveraging opinions of others on these web sites is to display the number of prior recommendations as a social signal. How people react to these social influence signals, in combination with other effects, such as the quality of content and its presentation order, determines how many recommendations content receives. Using Amazon Mechanical Turk, we experimentally measure the effects of social influence on user decisions to recommend content. Specifically, after controlling for variation in content quality and position, we find that social influence affects outcomes of peer recommendation about half as much as position and quality do. These effects are somewhat correlated, increasing the inequality of popularity in the presence of social influence. Further, we find that social influence changes people's preferences, creating a "herding" effect that biases their judgements about the content. While simi...

  14. Building a better recommender system in E-commerce

    Institute of Scientific and Technical Information of China (English)

    2003-01-01

    This paper presents an architecture of a hybrid recommender system in E-commerce environment. The goal of the system is to make special improvements in giving precisely personalized recommendation through some effective measures.Based on the study on the existing recommendation methods of both the conventional similarity function and the conventional feedback function, several improvement algorithms are developed to enhance the precision of recommendation, which include three improved similarity functions, four improved feedback functions, and adoption of both explicit and implicit preferences in individual user profile. Among them, issues and countermeasures of a new user, prominent preferences and long-term preferences are nicely addressed to gain better recommendation. The user's preferences is so designed to be precisely captured by a user-side agent, and can make self-adjustment with explicit or implicit feedback.

  15. Adaptive social recommendation in a multiple category landscape

    CERN Document Server

    Chen, Duanbing; Cimini, Giulio; Zhang, Yi-Cheng

    2012-01-01

    People in the Internet era have to cope with the information overload, striving to find what they are interested in, and usually face this situation by following a limited number of sources or friends that best match their interests. A recent line of research, namely adaptive social recommendation, has therefore emerged to optimize the information propagation in social networks and provide users with personalized recommendations. Validation of these methods by agent-based simulations often assumes that the tastes of users and can be represented by binary vectors, with entries denoting users' preferences. In this work we introduce a more realistic assumption that users' tastes are modeled by multiple vectors. We show that within this framework the social recommendation process has a poor outcome. Accordingly, we design novel measures of users' taste similarity that can substantially improve the precision of the recommender system. Finally, we discuss the issue of enhancing the recommendations' diversity while ...

  16. International Pediatric Otolaryngology Group (IPOG) consensus recommendations : Hearing loss in the pediatric patient

    NARCIS (Netherlands)

    Liming, Bryan J; Carter, John; Cheng, Alan; Choo, Daniel; Curotta, John; Carvalho, Daniela; Germiller, John A; Hone, Stephen; Kenna, Margaret A; Loundon, Natalie; Preciado, Diego; Schilder, Anne; Reilly, Brian J; Roman, Stephane; Strychowsky, Julie; Triglia, Jean-Michel; Young, Nancy; Smith, Richard J H

    OBJECTIVE: To provide recommendations for the workup of hearing loss in the pediatric patient. METHODS: Expert opinion by the members of the International Pediatric Otolaryngology Group. RESULTS: Consensus recommendations include initial screening and diagnosis as well as the workup of

  17. Recommendations for epidemiological studies on COPD

    DEFF Research Database (Denmark)

    Bakke, P S; Rönmark, E; Eagan, T

    2011-01-01

    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...... for planning and performing an epidemiological study on COPD. The main message of the paper is that thorough planning is worth half the study. It is crucial to stick to standardised methods and good quality control during sampling. We recommend collecting biological markers, depending on the specific...

  18. Two tier pricing system recommendation and summary

    Energy Technology Data Exchange (ETDEWEB)

    None

    1974-06-01

    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.

  19. Towards Information Enrichment through Recommendation Sharing

    Science.gov (United States)

    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.

  20. The Indicator Amino Acid Oxidation Method with the Use of l-[1-13C]Leucine Suggests a Higher than Currently Recommended Protein Requirement in Children with Phenylketonuria.

    Science.gov (United States)

    Turki, Abrar; Ueda, Keiko; Cheng, Barbara; Giezen, Alette; Salvarinova, Ramona; Stockler-Ipsiroglu, Sylvia; Elango, Rajavel

    2017-02-01

    Phenylketonuria is characterized by mutations in the Phe hydroxylase gene that leads to the accumulation of Phe in plasma and the brain. The standard of care for phenylketonuria is nutritional management with dietary restriction of Phe and the provision of sufficient protein and energy for growth and health maintenance. The protein requirement in children with phenylketonuria is empirically determined based upon phenylketonuria nutritional guidelines that are adjusted individually in response to biochemical markers and growth. We determined dietary protein requirements in children with phenylketonuria with the use of the indicator amino acid oxidation (IAAO) technique, with l-[1-(13)C]Leu as the indicator amino acid. Four children (2 males; 2 females) aged 9-18 y with phenylketonuria [mild hyperphenylalanemia (mHPA); 6-10 mg/dL (360-600 μmol/L)] were recruited to participate in ≥7 separate test protein intakes (range: 0.2-3.2 g ⋅ kg(-1) ⋅ d(-1)) with the IAAO protocol with the use of l-[1-(13)C]Leu followed by the collection of breath and urine samples over 8 h. The diets were isocaloric and provided energy at 1.7 times the resting energy expenditure. Protein was provided as a crystalline amino acid mixture based on an egg protein pattern, except Phe and Leu, which were maintained at a constant across intakes. Protein requirement was determined with the use of a 2-phase linear-regression crossover analysis of the rate of l-[1-(13)C]Leu tracer oxidation. The mean protein requirement was determined to be 1.85 g ⋅ kg(-1) ⋅ d(-1) (R(2) = 0.66; 95% CI: 1.37, 2.33). This result is substantially higher than the 2014 phenylketonuria recommendations (1.14-1.33 g ⋅ kg(-1) ⋅ d(-1); based on 120-140% above the current RDA for age). To our knowledge, this is the first study to directly define a quantitative requirement for protein intake in children with mHPA and indicates that current protein recommendations in children with phenylketonuria may be insufficient

  1. Recommender systems in knowledge-mining

    Science.gov (United States)

    Volna, Eva

    2017-07-01

    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.

  2. Precomputed Clustering for Movie Recommendation System in Real Time

    Directory of Open Access Journals (Sweden)

    Bo Li

    2014-01-01

    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.

  3. Technology recommendations for pre-screening of IAEA swipe samples

    Energy Technology Data Exchange (ETDEWEB)

    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)

    2015-01-01

    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.

  4. Research of intelligent recommendation for mobile reading

    Science.gov (United States)

    Li, Qu

    2013-07-01

    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.

  5. An Ontology Based Approach to Implement the Online Recommendation System

    Directory of Open Access Journals (Sweden)

    Vijayakumar Mohanraj

    2011-01-01

    Full Text Available Problem statement: Every web user has different intent when accessing the information on website. The primary goal of recommendation system is to anticipate the user intent and recommend the web pages that contain user expected information. Effective recommendation of web pages involves two important challenges: accurately identifying the user intent and predict the result show that novel web usage mining method and ontological concept scoring algorithm based on website domain ontological profile helps the recommendation system imminent navigation pattern in such a way that it provides required content while users browse the predicted navigation. Approach: We present a ontology based approach to implement recommendation system that involves applying innovative web usage mining on log system to discover all possible imminent navigation patterns of current user and resolve any uncertainties in discovering the navigation pattern by applying ontological concept based similarity comparison and scoring algorithm. Results: result show that novel web usage mining method and ontological concept scoring algorithm based on website domain ontological profile helps the recommendation system to predict and present most relevant navigation pattern to users. Conclusion: our recommendation system confirms that ontology based approach should be used to ensure excellent accuracy in predicting and capturing future navigation pattern of web user.

  6. Personalized Resource Recommendations using Learning from Positive and Unlabeled Examples

    Directory of Open Access Journals (Sweden)

    Priyank Thakkar

    2016-08-01

    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.

  7. Physical Exercise and MS Recommendations

    DEFF Research Database (Denmark)

    Dalgas, U; Ingemann-Hansen, T; Stenager, E

    2009-01-01

    The use of physical exercise programmes in the rehabilitation of patients with multiple sclerosis (MS) has been a controversial issue for many years. During the last decade, however, evidence from a number of studies has suggested that exercise is a safe and efficient way to induce improvements...... in a number of physiological functions, which ultimately can lead to functional improvements that have a positive effect on a patients daily life. The purpose of this review is, based on the existing research, to provide clinicians with some easily administrable recommendations for the application of exercise...

  8. Clinical recommendation: pediatric lichen sclerosus.

    Science.gov (United States)

    Bercaw-Pratt, Jennifer L; Boardman, Lori A; Simms-Cendan, Judith S

    2014-04-01

    Lichen sclerosus is a chronic inflammatory condition affecting the anogenital region that may present in the prepubertal or adolescent patient. Clinical presentations include significant pruritus, labial adhesions, and loss of pigmentation. Treatment includes topical anti-inflammatory agents and long-term follow-up as there is a high risk of recurrence and an increased risk of vulvar cancer in adult women with history of lichen sclerosus. These recommendations are intended for pediatricians, gynecologists, nurse practitioners and others who care for pediatric/adolescent girls in order to facilitate diagnosis and treatment.

  9. Dietetic recommendations in rheumatoid arthritis

    Directory of Open Access Journals (Sweden)

    María Rosa Alhambra-Expósito

    2013-12-01

    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.

  10. WRS: The Wikipedia Recommender System

    Science.gov (United States)

    Lefévre, Thomas; Jensen, Christian Damsgaard; Korsgaard, Thomas Rune

    In 2005, the Wikipedia became the most popular reference website on the Internet and it has continued to grow in size and popularity ever since. With the increasing reliance on the Wikipedia comes issues of the credibility and provenance of content. In order to address these issues, we have developed a Recommender System for the Wikipedia, which allows the users of the Wikipedia to rate articles in order to guide other users about the quality of articles. This rating system provides both an incentive for authors to improve articles and a quantifiable measure of the perceived quality of articles.

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

    Science.gov (United States)

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

    2017-08-01

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

  12. Ontological Matchmaking in Recommender Systems

    CERN Document Server

    Bonifati, Angela; Sileo, Domenica; Summa, Gianvito

    2010-01-01

    The electronic marketplace offers great potential for the recommendation of supplies. In the so called recommender systems, it is crucial to apply matchmaking strategies that faithfully satisfy the predicates specified in the demand, and take into account as much as possible the user preferences. We focus on real-life ontology-driven matchmaking scenarios and identify a number of challenges, being inspired by such scenarios. A key challenge is that of presenting the results to the users in an understandable and clear-cut fashion in order to facilitate the analysis of the results. Indeed, such scenarios evoke the opportunity to rank and group the results according to specific criteria. A further challenge consists of presenting the results to the user in an asynchronous fashion, i.e. the 'push' mode, along with the 'pull' mode, in which the user explicitly issues a query, and displays the results. Moreover, an important issue to consider in real-life cases is the possibility of submitting a query to multiple p...

  13. Recommendations for representative ballast water sampling

    Science.gov (United States)

    Gollasch, Stephan; David, Matej

    2017-05-01

    Until now, the purpose of ballast water sampling studies was predominantly limited to general scientific interest to determine the variety of species arriving in ballast water in a recipient port. Knowing the variety of species arriving in ballast water also contributes to the assessment of relative species introduction vector importance. Further, some sampling campaigns addressed awareness raising or the determination of organism numbers per water volume to evaluate the species introduction risk by analysing the propagule pressure of species. A new aspect of ballast water sampling, which this contribution addresses, is compliance monitoring and enforcement of ballast water management standards as set by, e.g., the IMO Ballast Water Management Convention. To achieve this, sampling methods which result in representative ballast water samples are essential. We recommend such methods based on practical tests conducted on two commercial vessels also considering results from our previous studies. The results show that different sampling approaches influence the results regarding viable organism concentrations in ballast water samples. It was observed that the sampling duration (i.e., length of the sampling process), timing (i.e., in which point in time of the discharge the sample is taken), the number of samples and the sampled water quantity are the main factors influencing the concentrations of viable organisms in a ballast water sample. Based on our findings we provide recommendations for representative ballast water sampling.

  14. Personalized Social Recommendations - Accurate or Private?

    CERN Document Server

    Machanavajjhala, Ashwin; Sarma, Atish Das

    2011-01-01

    With the recent surge of social networks like Facebook, new forms of recommendations have become possible - personalized recommendations of ads, content, and even new friend and product connections based on one's social interactions. Since recommendations may use sensitive social information, it is speculated that these recommendations are associated with privacy risks. The main contribution of this work is in formalizing these expected trade-offs between the accuracy and privacy of personalized social recommendations. In this paper, we study whether "social recommendations", or recommendations that are solely based on a user's social network, can be made without disclosing sensitive links in the social graph. More precisely, we quantify the loss in utility when existing recommendation algorithms are modified to satisfy a strong notion of privacy, called differential privacy. We prove lower bounds on the minimum loss in utility for any recommendation algorithm that is differentially private. We adapt two priv...

  15. Individualized nutritional recommendations: do we have the measurements needed to assess risk and make dietary recommendations?

    Science.gov (United States)

    Arab, Lenore

    2004-02-01

    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

  16. The application of mixed recommendation algorithm with user clustering in the microblog advertisements promotion

    Science.gov (United States)

    Gong, Lina; Xu, Tao; Zhang, Wei; Li, Xuhong; Wang, Xia; Pan, Wenwen

    2017-03-01

    The traditional microblog recommendation algorithm has the problems of low efficiency and modest effect in the era of big data. In the aim of solving these issues, this paper proposed a mixed recommendation algorithm with user clustering. This paper first introduced the situation of microblog marketing industry. Then, this paper elaborates the user interest modeling process and detailed advertisement recommendation methods. Finally, this paper compared the mixed recommendation algorithm with the traditional classification algorithm and mixed recommendation algorithm without user clustering. The results show that the mixed recommendation algorithm with user clustering has good accuracy and recall rate in the microblog advertisements promotion.

  17. User Oriented Trajectory Search for Trip Recommendation

    KAUST Repository

    Ding, Ruogu

    2012-09-08

    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 or- dered. 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.

  18. User Oriented Trajectory Search for Trip Recommendation

    KAUST Repository

    Ding, Ruogu

    2012-07-08

    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.

  19. SYNTHETIC SLING FAILURE - EVALUATIONS & RECOMMENDATIONS

    Energy Technology Data Exchange (ETDEWEB)

    MACKEY TC; HENDERSON CS

    2009-10-26

    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

  20. Walking on a user similarity network towards personalized recommendations.

    Science.gov (United States)

    Gan, Mingxin

    2014-01-01

    Personalized recommender systems have been receiving more and more attention in addressing the serious problem of information overload accompanying the rapid evolution of the world-wide-web. Although traditional collaborative filtering approaches based on similarities between users have achieved remarkable success, it has been shown that the existence of popular objects may adversely influence the correct scoring of candidate objects, which lead to unreasonable recommendation results. Meanwhile, recent advances have demonstrated that approaches based on diffusion and random walk processes exhibit superior performance over collaborative filtering methods in both the recommendation accuracy and diversity. Building on these results, we adopt three strategies (power-law adjustment, nearest neighbor, and threshold filtration) to adjust a user similarity network from user similarity scores calculated on historical data, and then propose a random walk with restart model on the constructed network to achieve personalized recommendations. We perform cross-validation experiments on two real data sets (MovieLens and Netflix) and compare the performance of our method against the existing state-of-the-art methods. Results show that our method outperforms existing methods in not only recommendation accuracy and diversity, but also retrieval performance.

  1. Walking on a User Similarity Network towards Personalized Recommendations

    Science.gov (United States)

    Gan, Mingxin

    2014-01-01

    Personalized recommender systems have been receiving more and more attention in addressing the serious problem of information overload accompanying the rapid evolution of the world-wide-web. Although traditional collaborative filtering approaches based on similarities between users have achieved remarkable success, it has been shown that the existence of popular objects may adversely influence the correct scoring of candidate objects, which lead to unreasonable recommendation results. Meanwhile, recent advances have demonstrated that approaches based on diffusion and random walk processes exhibit superior performance over collaborative filtering methods in both the recommendation accuracy and diversity. Building on these results, we adopt three strategies (power-law adjustment, nearest neighbor, and threshold filtration) to adjust a user similarity network from user similarity scores calculated on historical data, and then propose a random walk with restart model on the constructed network to achieve personalized recommendations. We perform cross-validation experiments on two real data sets (MovieLens and Netflix) and compare the performance of our method against the existing state-of-the-art methods. Results show that our method outperforms existing methods in not only recommendation accuracy and diversity, but also retrieval performance. PMID:25489942

  2. Walking on a user similarity network towards personalized recommendations.

    Directory of Open Access Journals (Sweden)

    Mingxin Gan

    Full Text Available Personalized recommender systems have been receiving more and more attention in addressing the serious problem of information overload accompanying the rapid evolution of the world-wide-web. Although traditional collaborative filtering approaches based on similarities between users have achieved remarkable success, it has been shown that the existence of popular objects may adversely influence the correct scoring of candidate objects, which lead to unreasonable recommendation results. Meanwhile, recent advances have demonstrated that approaches based on diffusion and random walk processes exhibit superior performance over collaborative filtering methods in both the recommendation accuracy and diversity. Building on these results, we adopt three strategies (power-law adjustment, nearest neighbor, and threshold filtration to adjust a user similarity network from user similarity scores calculated on historical data, and then propose a random walk with restart model on the constructed network to achieve personalized recommendations. We perform cross-validation experiments on two real data sets (MovieLens and Netflix and compare the performance of our method against the existing state-of-the-art methods. Results show that our method outperforms existing methods in not only recommendation accuracy and diversity, but also retrieval performance.

  3. EXPLOITING SOCIAL TAGS TO OVERCOME COLD START RECOMMENDATION PROBLEM

    Directory of Open Access Journals (Sweden)

    A. S. Ghabayen

    2014-01-01

    Full Text Available The practice and method of collaboratively creating and managing tags to annotate and categorize content has resulted in the creation of folksonomy. Folksonomies provide new opportunities and challenges in the field of recommender systems. Despite the considerable amount of researches done in the context of recommender systems, the specific problem of integrating tags into standard recommender system algorithms is less explored than the problem of recommending tags. Collaborative filtering is one of the popular approaches for providing recommendation. However, despite the popularity of collaborative filtering, to some extent, it could not recognize the preferences of users in cold-start scenarios, where insufficient preferences are associated to certain users or items, which leads to degraded recommendation quality. This study presents a collaborative filtering approach based on the expansion of users’ tags. In this case, semantics between tags can be unveiled which subsequently resulted in the identification of semantically similar users. Experiment on real-life dataset shows that our approach outperforms the state-of-the-art tag-aware collaborative filtering approaches in terms of recommendation quality particularly in the cold-start situation.

  4. A validated stability-indicating RP-LC method for the simultaneous determination of amlodipine and perindopril in tablet dosage form and their stress degradation behavior under ICH-recommended stress conditions.

    Science.gov (United States)

    Gumustas, Mehmet; Ozkan, Sibel A

    2013-01-01

    A stability-indicating RP-LC assay method was developed for the simultaneous determination of the cardiovascular drugs amlodipine and perindopril in the presence of degradation products generated from forced decomposition studies. The developed method is applicable for the determination of related substances in bulk drugs and simultaneous assay in a tablet pharmaceutical dosage form. Separation of the drugs and their degradation products was obtained using an RP Waters Spherisorb ODS1 column (250 x 4.6 mm id, 5 pm particle size) with the mobile phase acetonitrile-water (30 + 70, v/v) containing 15 mM phosphoric acid. The pH of the mobile phase was adjusted to 5.0. A flow rate of 1.2 mL/min was used for the separations, with detection at 215 nm. The chromatographic separation was performed at a column temperature of 45 degrees C. Atenolol was chosen as the internal standard. Amlodipine and perindopril were exposed to thermal, photolytic, hydrolytic, and oxidative stress conditions, and the stressed samples were analyzed by the proposed method. Degradation studies showed that both compounds were degraded under these stress conditions. The method was found to be stability-indicating and can be used for the routine analysis of amlodipine and perindopril in the studied combined tablet dosage form.

  5. A Survey Paper on Recommender Systems

    CERN Document Server

    Almazro, Dhoha; Albdulkarim, Lamia; Kherees, Mona; Martinez, Romy; Nzoukou, William

    2010-01-01

    Recommender systems apply data mining techniques and prediction algorithms to predict users' interest on information, products and services among the tremendous amount of available items. The vast growth of information on the Internet as well as number of visitors to websites add some key challenges to recommender systems. These are: producing accurate recommendation, handling many recommendations efficiently and coping with the vast growth of number of participants in the system. Therefore, new recommender system technologies are needed that can quickly produce high quality recommendations even for huge data sets. To address these issues we have explored several collaborative filtering techniques such as the item based approach, which identify relationship between items and indirectly compute recommendations for users based on these relationships. The user based approach was also studied, it identifies relationships between users of similar tastes and computes recommendations based on these relationships. In...

  6. Treatment of psoriatic arthritis: management recommendations.

    Science.gov (United States)

    Gossec, Laure; Smolen, Josef S

    2015-01-01

    Given the varied therapeutic options available for the management of psoriatic arthritis (PsA), recommendations for the management of PsA have been developed by several expert groups. These recommendations deal mainly with pharmacological treatments. At the international level, 2 recommendations sets are available: these have been developed by the Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA) and by the European League against Rheumatism (EULAR). These recommendations were published in 2009 and in 2012, respectively; and updates of these recommendations are currently ongoing. The first sets of recommendations dealt with non-steroidal anti-inflammatory drugs, glucocorticoids, conventional synthetic disease modifying drugs and tumour necrosis factor inhibitors; the 2015 sets of recommendations also deal with new drugs with other mechanisms of action, namely ustekinumab, secukinumab and apremilast. In the present paper, we will review these management recommendations.

  7. Back Bay Wilderness study : Proposed recommendations

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This document is a list of recommendations for the proposed wilderness area on the Back Bay National Wildlife Refuge. The recommendations come as a result of the...

  8. Treatment of Childhood and Adolescent Obesity: An Integrative Review of Recent Recommendations from Five Expert Groups

    Science.gov (United States)

    Kirschenbaum, Daniel S.; Gierut, Kristen

    2013-01-01

    Objective: To compare and contrast 5 sets of expert recommendations about the treatment of childhood and adolescent obesity. Method: We reviewed 5 sets of recent expert recommendations: 2007 health care organizations' four stage model, 2007 Canadian clinical practice guidelines, 2008 Endocrine Society recommendations, 2009 seven step model, and…

  9. Treatment of Childhood and Adolescent Obesity: An Integrative Review of Recent Recommendations from Five Expert Groups

    Science.gov (United States)

    Kirschenbaum, Daniel S.; Gierut, Kristen

    2013-01-01

    Objective: To compare and contrast 5 sets of expert recommendations about the treatment of childhood and adolescent obesity. Method: We reviewed 5 sets of recent expert recommendations: 2007 health care organizations' four stage model, 2007 Canadian clinical practice guidelines, 2008 Endocrine Society recommendations, 2009 seven step model, and…

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

    Science.gov (United States)

    Lei, Wu; Qing, Fang; Zhou, Jin

    2016-01-01

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

  11. Recommendations for the development of e-modules for the continuing professional development of European dentists

    NARCIS (Netherlands)

    Kavadella, A.; Kossioni, A.E.; Tsiklakis, K.; Cowpe, J.; Bullock, A.; Barnes, E.; Bailey, S.; Thomas, H.; Thomas, R.; Karaharju-Suvanto, T.; Suomalainen, K.; Kersten, H.; Povel, E.; Giles, M.; Walmsley, D.; Soboleva, U.; Liepa, A.; Akota, I.

    2013-01-01

    Aims To provide evidence-based and peer-reviewed recommendations for the development of dental continuing professional development (CPD) learning e-modules. Methods The present recommendations are consensus recommendations of the DentCPD project team and were informed by a literature research, consu

  12. On Differentially Private Online Collaborative Recommendation Systems

    OpenAIRE

    Gilbert, Seth; Liu, Xiao; Yu, Haifeng

    2015-01-01

    In collaborative recommendation systems, privacy may be compromised, as users' opinions are used to generate recommendations for others. In this paper, we consider an online collaborative recommendation system, and we measure users' privacy in terms of the standard differential privacy. We give the first quantitative analysis of the trade-offs between recommendation quality and users' privacy in such a system by showing a lower bound on the best achievable privacy for any non-trivial algorith...

  13. Recommender Systems by means of Information Retrieval

    CERN Document Server

    Costa, Alberto

    2010-01-01

    In this paper we present a method for reformulating the Recommender Systems problem in an Information Retrieval one. In our tests we have a dataset of users who give ratings for some movies; we hide some values from the dataset, and we try to predict them again using its remaining portion (the so-called "leave-n-out approach"). In order to use an Information Retrieval algorithm, we reformulate this Recommender Systems problem in this way: a user corresponds to a document, a movie corresponds to a term, the active user (whose rating we want to predict) plays the role of the query, and the ratings are used as weigths, in place of the weighting schema of the original IR algorithm. The output is the ranking list of the documents ("users") relevant for the query ("active user"). We use the ratings of these users, weighted according to the rank, to predict the rating of the active user. We carry out the comparison by means of a typical metric, namely the accuracy of the predictions returned by the algorithm, and we...

  14. Recommendations for Real-Time Speech MRI

    Science.gov (United States)

    Lingala, Sajan Goud; Sutton, Brad P.; Miquel, Marc E.; Nayak, Krishna S.

    2016-01-01

    Real-time magnetic resonance imaging (RT-MRI) is being increasingly used for speech and vocal production research studies. Several imaging protocols have emerged based on advances in RT-MRI acquisition, reconstruction, and audio-processing methods. This review summarizes the state-of-the-art, discusses technical considerations, and provides specific guidance for new groups entering this field. We provide recommendations for performing RT-MRI of the upper airway. This is a consensus statement stemming from the ISMRM-endorsed Speech MRI summit held in Los Angeles, February 2014. A major unmet need identified at the summit was the need for consensus on protocols that can be easily adapted by researchers equipped with conventional MRI systems. To this end, we provide a discussion of tradeoffs in RT-MRI in terms of acquisition requirements, a priori assumptions, artifacts, computational load, and performance for different speech tasks. We provide four recommended protocols and identify appropriate acquisition and reconstruction tools. We list pointers to open-source software that facilitate implementation. We conclude by discussing current open challenges in the methodological aspects of RT-MRI of speech. PMID:26174802

  15. Perineal burn care: French working group recommendations.

    Science.gov (United States)

    Bordes, Julien; Le Floch, Ronan; Bourdais, Ludovic; Gamelin, Alexandre; Lebreton, Françoise; Perro, Gérard

    2014-06-01

    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.

  16. Research on Algorithm Recommended by Online Education for Big Data

    Directory of Open Access Journals (Sweden)

    Feng Tao

    2015-01-01

    Full Text Available “Big data” is becoming a hot topic in the Internet. The long tail problem of the massive online courses also becomes the biggest headache for operation team of online education. The manner in which the reader wants most courses show to be presented before the user is the key to improve the quality of online edu-cation. Personalized recommendation system is to discover the readers interests tendency based on the existing user data, project data, and interactive data, thus to provide personalized product recommendation for readers. This article is based on the two kinds of algorithms, namely the content and the collaborative filtering recommendation to propose an improved integration scheme, which can make good use of existing data to discover the useful knowledge for readers’ recommendation. The method firstly solves the sparsity problem in traditional collaborative filtering, and meanwhile we start from the global structure relation of course, to analyze the relationship between the reader and the course more comprehensively. The algorithm to improve the accuracy of recommendation from multiple angles, and provides a feasible method for precise recommendation of online educational video.

  17. A fuzzy recommendation system for daily water intake

    Directory of Open Access Journals (Sweden)

    Bin Dai

    2016-05-01

    Full Text Available Water is one of the most important constituents of the human body. Daily consumption of water is thus necessary to protect human health. Daily water consumption is related to several factors such as age, ambient temperature, and degree of physical activity. These factors are generally difficult to express with exact numerical values. The main objective of this article is to build a daily water intake recommendation system using fuzzy methods. This system will use age, physical activity, and ambient temperature as the input factors and daily water intake values as the output factor. The reasoning mechanism of the fuzzy system can calculate the recommended value of daily water intake. Finally, the system will compare the actual recommended values with our system to determine the usefulness. The experimental results show that this recommendation system is effective in actual application.

  18. Personalized recommendation based on preferential bidirectional mass diffusion

    Science.gov (United States)

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

    2017-03-01

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

  19. Recommendations of activity restriction in high-risk pregnancy scenarios

    DEFF Research Database (Denmark)

    Bendix, Jane; Hegaard, Hanne Kristine; Bergholt, Thomas;

    2015-01-01

    obstetricians and midwives prescribe activity restriction in most high-risk pregnancies. The degree of activity restriction and the presumed effect vary between clinicians. This may reflect different attitudes and lack of guidelines based on clinical studies of a possible benefit of activity restriction....... to the obstetricians, the midwives also reported that they expected the recommendation to be more effective. Most midwives and obstetricians reported that they thought strict activity restriction was associated with severe or moderate adverse effect, and recommended antithrombotic prophylaxis. Conclusions: Danish......Abstract Aims: To describe specific recommendations of activity restriction, place of care, expected beneficial and adverse effects, and recommended antithrombotic prophylaxis in nine clinical scenarios. Methods: A national survey. All members of the Danish Society of Obstetrics and Gynaecology...

  20. Panorama of Recommender Systems to Support Learning

    NARCIS (Netherlands)

    Drachsler, Hendrik; Verbert, Katrien; Santos, Olga C.; Manouselis, Nikos

    2015-01-01

    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 syst

  1. 5 CFR 2638.506 - Director's recommendation.

    Science.gov (United States)

    2010-01-01

    ... 5 Administrative Personnel 3 2010-01-01 2010-01-01 false Director's recommendation. 2638.506... Cases Involving Individual Executive Agency Employees § 2638.506 Director's recommendation. (a) Where... employee is the head of an agency, the Director shall make any such recommendation to the President and...

  2. 22 CFR 909.3 - Board recommendation.

    Science.gov (United States)

    2010-04-01

    ... 22 Foreign Relations 2 2010-04-01 2010-04-01 true Board recommendation. 909.3 Section 909.3 Foreign Relations FOREIGN SERVICE GRIEVANCE BOARD DECISIONMAKING § 909.3 Board recommendation. Where the Board's decision is a recommendation, it shall be directed to the head of the Agency. A copy of...

  3. 7 CFR 1.420 - Consent recommendation.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 1 2010-01-01 2010-01-01 false Consent recommendation. 1.420 Section 1.420... Conservation and Shortage Relief Act of 1990 (16 U.S.C. 620 et seq.) § 1.420 Consent recommendation. Any time before the Judge files the decision, the parties of record may enter a consent recommendation....

  4. Cryptographically-enhanced privacy for recommender systems

    NARCIS (Netherlands)

    Jeckmans, Adrianus Johannus Paulus

    2014-01-01

    Automated recommender systems are used to help people find interesting content or persons in the vast amount of information available via the internet. There are different types of recommender systems, for example collaborative filtering systems and content-based recommender systems. However, all re

  5. method

    Directory of Open Access Journals (Sweden)

    L. M. Kimball

    2002-01-01

    Full Text Available This paper presents an interior point algorithm to solve the multiperiod hydrothermal economic dispatch (HTED. The multiperiod HTED is a large scale nonlinear programming problem. Various optimization methods have been applied to the multiperiod HTED, but most neglect important network characteristics or require decomposition into thermal and hydro subproblems. The algorithm described here exploits the special bordered block diagonal structure and sparsity of the Newton system for the first order necessary conditions to result in a fast efficient algorithm that can account for all network aspects. Applying this new algorithm challenges a conventional method for the use of available hydro resources known as the peak shaving heuristic.

  6. Analysis of foreign physical activity recommendations and guidelines for schools

    Directory of Open Access Journals (Sweden)

    Jan Pavelka

    2014-06-01

    Full Text Available Background:An adequate level of physical activity is an important part of children's lifestyle. The school environment plays a significant role in the area of interventions and strategies aiming to increase the level of physical activity in children. Objectives: The aim of this study is to analyse foreign recommendations leading to an increased level of physical activity in children and young people in Czech schools. Methods: A systematic search of studies published between 1988 and 2012 in the English language was completed in library databases Medline, Sport Discus, ProQuest, PsychInfo, ERIC, Wiley InterScience using the following keywords: physical activity, guidelines, recommendations, school and youth. The studies were then classified based on abstract and full-text analyses. Using a content analysis the expert team formulated the final recommendations to increase the level of physical activity for schools in the Czech Republic (CR. Results: Out of the total number of 91 identified foreign studies, 25 met the predetermined criteria and were used as a basis for formulating the recommendations. These foreign studies included 15 papers published in USA, two in Australia, two in Great Britain, two in Canada, one in the European Union, one in New Zealand and one international paper (an international consensus of experts from 34 countries. Based on the interpretation of the evidence, its justification and final consensus of the expert team, the basic areas for the recommendations to increase the level of physical activity in schools in the CR were identified. Conclusions: An analysis of foreign recommendations to increase the level of physical activity designed for schools and school facilities is one of the possible methods of formulating domestic recommendations. This recommendation could contribute to deeper understanding of the issue of the deteriorating lifestyle of school-aged children in the CR and reflects the efforts for improvement.

  7. Epilepsy surgery: Recommendations for India

    Directory of Open Access Journals (Sweden)

    Chandra P

    2010-01-01

    Full Text Available The following article recommends guidelines for epilepsy surgery for India. This article reviews the indications, the various surgical options available and the outcome of surgery for drug resistant epilepsy based on current evidence. Epilepsy surgery is a well-established option for patients who have been diagnosed to have drug resistant epilepsy (DRE (on at least two appropriate, adequate anti-epileptic drugs (AEDs (either in monotherapy or in combination with continuing seizures, where the presurgical work-up has shown concordance of structural imaging (magnetic resonance imaging and electrical mapping data (electroencephalography (EEG, video EEG. There may be a requirement of functional imaging techniques in a certain number of DRE like positron emission tomography (PET, single photon emission tomography, (SPECT. Invasive monitoring should be restricted to a few when all noninvasive investigations are inconclusive, there is a dual pathology or there is a discordance of noninvasive data. The types of surgery could be curative (resective surgeries: amygdalo hippocampectomy, lesionectomy and multilobar resections; functional surgeries: hemispherotomy and palliative (multiple subpial transaction, corpus callosotomy, vagal nerve stimulation. Epilepsy surgery in indicated cases has a success range from 50 to 86% in achieving seizure freedom as compared with < 5% success rate with AEDs only in persons with DRE. Centers performing surgery should be categorized into Level I and Level II.

  8. Nutritional recommendations for synchronized swimming.

    Science.gov (United States)

    Robertson, Sherry; Benardot, Dan; Mountjoy, Margo

    2014-08-01

    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.

  9. Vietnam recommended dietary allowances 2007.

    Science.gov (United States)

    Khan, Nguyen Cong; Hoan, Pham Van

    2008-01-01

    It has been well acknowledged that Vietnam is undergoing a nutrition transition. With a rapid change in the country's reform and economic growth, food supply at the macronutrient level has improved. Changes of the Vietnamese diet include significantly more foods of animal origin, and an increase of fat/oils, and ripe fruits. Consequently, nutritional problems in Vietnam now include not only malnutrition but also overweight/obesity, metabolic syndrome and other chronic diseases related to nutrition and lifestyles. The recognition of these shifts, which is also associated with morbidity and mortality, was a major factor in the need to review and update the Recommended Dietary Allowances (RDA) for the Vietnamese population. This revised RDA established an important science-based tool for evaluation of nutrition adequacy, for teaching, and for scientific communications within Vietnam. It is expected that the 2007 Vietnam RDA and its conversion to food-based dietary guidelines will facilitate education to the public, as well as the policy implementation of programs for prevention of non-communicable chronic diseases and addressing the double burden of both under and over nutrition.

  10. Recommendations for pathology peer review.

    Science.gov (United States)

    Morton, Daniel; Sellers, Rani S; Barale-Thomas, Erio; Bolon, Brad; George, Catherine; Hardisty, Jerry F; Irizarry, Armando; McKay, Jennifer S; Odin, Marielle; Teranishi, Munehiro

    2010-12-01

    Pathology peer review verifies and improves the accuracy and quality of pathology diagnoses and interpretations. Pathology peer review is recommended when important risk assessment or business decisions are based on nonclinical studies. For pathology peer review conducted before study completion, the peer-review pathologist reviews sufficient slides and pathology data to assist the study pathologist in refining pathology diagnoses and interpretations. Materials to be reviewed are selected by the peer-review pathologist. Consultations with additional experts or a formal (documented) pathology working group may be used to resolve discrepancies. The study pathologist is solely responsible for the content of the final pathology data and report, makes changes resulting from peer-review discussions, initiates the audit trail for microscopic observations after all changes resulting from peer-review have been made, and signs the final pathologist's report. The peer-review pathologist creates a signed peer-review memo describing the peer-review process and confirming that the study pathologist's report accurately and appropriately reflects the pathology data. The study pathologist also may sign a statement of consensus. It is not necessary to archive working notes created during the peer-review process.

  11. An Automated Recommender System for Course Selection

    Directory of Open Access Journals (Sweden)

    Amer Al-Badarenah

    2016-03-01

    Full Text Available Most of electronic commerce and knowledge management` systems use recommender systems as the underling tools for identifying a set of items that will be of interest to a certain user. Collaborative recommender systems recommend items based on similarities and dissimilarities among users’ preferences. This paper presents a collaborative recommender system that recommends university elective courses to students by exploiting courses that other similar students had taken. The proposed system employs an association rules mining algorithm as an underlying technique to discover patterns between courses. Experiments were conducted with real datasets to assess the overall performance of the proposed approach.

  12. Interest-based Recommendation in Digital Library

    Directory of Open Access Journals (Sweden)

    Yan Yang

    2005-01-01

    Full Text Available With the huge amount and large variety of information available in a digital library, it’s becoming harder and harder for users to identify and get hold of their interested documents. To alleviate the difficulty, personalized recommendation techniques have been developed. Current recommendation techniques rely on similarity between documents. In our work, recommendations are made based on three factors: similarity between documents, information amount, and information novelty. With the introduction of degree of interest, users’ interests can be better characterized. Theoretical analysis and experimental evaluations demonstrate that our techniques can improve both the recommendation recall and recommendation precision.

  13. Recommendations for epidemiological studies on COPD

    DEFF Research Database (Denmark)

    Bakke, P S; Rönmark, E; Eagan, T

    2011-01-01

    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...

  14. Discovering User Profiles for Web Personalized Recommendation

    Institute of Scientific and Technical Information of China (English)

    Ai-BoSong; Mao-XianZhao; Zuo-PengLiang; Yi-ShengDong; Jun-ZhouLuo

    2004-01-01

    With the growing popularity of the World Wide Web, large volume of user access data has been gathered automatically by Web servers and stored in Web logs. Discovering and understanding user behavior patterns from log files can provide Web personalized recommendation services. In this paper, a novel clustering method is presented for log files called Clustering large Weblog based on Key Path Model (CWKPM), which is based on user browsing key path model, to get user behavior profiles. Compared with the previous Boolean model, key path model considers the major features of users' accessing to the Web: ordinal, contiguous and duplicate. Moreover, for clustering, it has fewer dimensions. The analysis and experiments show that CWKPM is an efficient and effective approach for clustering large and high-dimension Web logs.

  15. Discovering User Profiles for Web Personalized Recommendation

    Institute of Scientific and Technical Information of China (English)

    Ai-Bo Song; Mao-Xian Zhao; Zuo-Peng Liang; Yi-Sheng Dong; Jun-Zhou Luo

    2004-01-01

    With the growing popularity of the World Wide Web, large volume of user access data has been gathered automatically by Web servers and stored in Web logs. Discovering and understanding user behavior patterns from log files can provide Web personalized recommendation services. In this paper, a novel clustering method is presented for log files called Clustering large Weblog based on Key Path Model (CWKPM), which is based on user browsing key path model, to get user behavior profiles. Compared with the previous Boolean model,key path model onsiders the major features of users' accessing to the Web: ordinal, contiguous and duplicate.Moreover, for clustering, it has fewer dimensions. The analysis and experiments show that CWKPM is an efficient and effective approach for clustering large and high-dimension Web logs.

  16. Co occurrence and Recommendation Relation Analysis of 985 Project Universities:A Title Mention Method%基于Title Mention的985高校名称共现及引荐关系分析1)

    Institute of Scientific and Technical Information of China (English)

    邓三鸿; 王昊

    2014-01-01

    Web based analysis is very popular, such as link analysis, web impact factor analysis etc. but commercial search engine refuse to afford advanced search operators relevant to link analysis recently, hence the researchers lose the way to collecting co link data. A substitute method, named web mention is used to show the web visibility of china famous high school. This thesis describes the origin and the basic ideas of web mention method, collect the title co mention, inter mention data with Bing in three ways. It can be conclude that the web mention method is suitable for co occurrence analysis in China academic fields while a correlation analysis is considered, as well as there are some precautions in data collecting and result analysis. The article details three methods to collect the web mention data of 985 Project universities, so as the matrix construction and data process. A social network analysis is used, and with three matrix we discuss the relation, position of the 985 Project universities. The paper is innovative to simplify the network by name generator in general social survey so that the visual map of network become more comprehensible and fascinating.%利用链接关系进行机构网络关系分析、或基于网络因子进行排名是过去常见的做法,然而随着各大通用搜索引擎逐步停止有关link的高级搜索语法的使用,研究者无法获取各类共链等数据。在此背景下,本文将Web Mention中的Title Mention作为一种链接分析的替补用于985高校Web共现、网络关系的分析。论文在介绍了Web Mention方法的由来及基本思路的基础上,借用通用搜索引擎必应(Bing)获取了我国39所985工程院校的名称共现、相互引荐的数据,进行了相关性分析。结果认为,Web Mention分析可以用于中国高校机构的共现分析、社会网络分析,但在数据获取、分析方法方面有一定注意事项。文章详细介绍了三种高校网络关

  17. Deşifre Şarkı Söyleme Eğitimine Yönelik Öğretim Metodu Önerisi A Recommended Teaching Method For Sight-Singing Education

    Directory of Open Access Journals (Sweden)

    Sevan NART

    2013-03-01

    Full Text Available In professional music education, effort is made during musicallistening, reading, and writing (MLRW courses to teach the language ofmusic. Sight-singing education is related to the musical readingdimension of MLRW teaching. Sight-singing is the ability (skill toanalyse and vocalize a music piece directly with words at first sight inaccordance with the correct notation. This skill which can be consideredthe highest step in musical literacy at professional music education is askill that every individual studying music education needs to develop.Sight-singing skills that each individual have at a certain level can beimproved by planned, programmed, systematic and regular studies.In Turkey, there are very limited unique studies for improvingsight-reading skills. And as for sight-singing there are no systematic,planned applications, scientific researches or resourcesare available. However there are a great number of publishedresources available for teaching sight- singing, and many methods arebeeing practiced successfully in overseas since 1800s.The method which is proposed as a teaching material for sightsingingin this study was a unique teaching method that was developedand experimented for a doctoral research with the idea of resolving thelack of resource in the field of sight-singing. This study consistsof descriptions for the proposed- teaching method and system for sightsingingand also explanations about the devoloping process of thecirriculumn and teaching materials.The aforementioned method is important for being the very firstwriten teaching method about sight singing education in Turkey. It alsohas importance in terms of being an example and resource for leadingfuture studies, cirriculumns and practices in this area. Mesleki müzik eğitiminde öğrencilere müziksel işitme, okuma veyazma (MİOY dersleri kapsamında müziğin dili öğretilmeyeçalışılmaktadır. Deşifre şarkı söyleme MİOY öğretiminin müzikselokuma boyutuyla ili

  18. Persuasive Recommender Systems Conceptual Background and Implications

    CERN Document Server

    Yoo, Kyung-Hyan; Zanker, Markus

    2013-01-01

    Whether users are likely to accept the recommendations provided by a recommender system is of utmost importance to system designers and the marketers who implement them. By conceptualizing the advice seeking and giving relationship as a fundamentally social process, important avenues for understanding the persuasiveness of recommender systems open up. Specifically, research regarding influential factors in advice seeking relationships, which is abundant in the context of human-human relationships, can provide an important framework for identifying potential influence factors in recommender system context. This book reviews the existing literature on the factors in advice seeking relationships in the context of human-human, human-computer, and human-recommender system interactions. It concludes that many social cues that have been identified as influential in other contexts have yet to be implemented and tested with respect to recommender systems. Implications for recommender system research and design are dis...

  19. The Definition of Novelty in Recommendation System

    Directory of Open Access Journals (Sweden)

    Liang Zhang

    2013-01-01

    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.

  20. NUTRITION FOR TENNIS: PRACTICAL RECOMMENDATIONS

    Directory of Open Access Journals (Sweden)

    Mayur K. Ranchordas

    2013-06-01

    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.

  1. Improved personalized recommendation based on a similarity network

    Science.gov (United States)

    Wang, Ximeng; Liu, Yun; Xiong, Fei

    2016-08-01

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

  2. Parents' attitudes and behaviours towards recommended vaccinations in Sicily, Italy

    Directory of Open Access Journals (Sweden)

    Giammanco Giuseppe

    2011-05-01

    Full Text Available Abstract Background Since a long time, Italy has maintained a dual system to administer childhood immunisations, that is a certain number of mandatory vaccinations and a number of recommended vaccinations. The study aimed to explore the issues surrounding parental acceptance or non-acceptance of the recommended vaccinations for children. Methods Parents of children aged 3-5 years of day-care centres in Sicily were asked to fill out an anonymous questionnaire. Determinants of the attitude towards recommended vaccinations and social influence on the decision-making process were assessed using logistic regression analysis. Results Of the 1,500 selected parents, 81.0% participated in the study. Prior to the survey, the majority of children (97.6% received recommended vaccines. Most parents (74.4% received information about vaccinations from Family Paediatricians, showed a good knowledge about the side effects of the vaccines (73.1%, did not worry about their potential dangerousness (53.0% and would have accepted their children to be vaccinated even if it was not required for day care (84.1%. The majority (79.9% were not disposed to follow the advises of the anti-vaccination movements. Parents' background characteristics, sources of information and social influence were not significantly associated with parental acceptance of recommended vaccines for childhood. Conclusions This study suggests that health information by Family Paediatricians is significantly associated with parental acceptance of recommended vaccinations.

  3. Can Dissimilar Users Contribute to Accuracy and Diversity of Personalized Recommendation?

    Science.gov (United States)

    Zeng, Wei; Shang, Ming-Sheng; Zhang, Qian-Ming; Lü, Linyuan; Zhou, Tao

    Recommender systems are becoming a popular and important set of personalization techniques that assist individual users with navigating through the rapidly growing amount of information. A good recommender system should be able to not only find out the objects preferred by users, but also help users in discovering their personalized tastes. The former corresponds to high accuracy of the recommendation, while the latter to high diversity. A big challenge is to design an algorithm that provides both highly accurate and diverse recommendation. Traditional recommendation algorithms only take into account the contributions of similar users, thus, they tend to recommend popular items for users ignoring the diversity of recommendations. In this paper, we propose a recommendation algorithm by considering both the effects of similar and dissimilar users under the framework of collaborative filtering. Extensive analyses on three datasets, namely MovieLens, Netflix and Amazon, show that our method performs much better than the standard collaborative filtering algorithm for both accuracy and diversity.

  4. A vertex similarity index for better personalized recommendation

    Science.gov (United States)

    Chen, Ling-Jiao; Zhang, Zi-Ke; Liu, Jin-Hu; Gao, Jian; Zhou, Tao

    2017-01-01

    Recommender systems benefit us in tackling the problem of information overload by predicting our potential choices among diverse niche objects. So far, a variety of personalized recommendation algorithms have been proposed and most of them are based on similarities, such as collaborative filtering and mass diffusion. Here, we propose a novel vertex similarity index named CosRA, which combines advantages of both the cosine index and the resource-allocation (RA) index. By applying the CosRA index to real recommender systems including MovieLens, Netflix and RYM, we show that the CosRA-based method has better performance in accuracy, diversity and novelty than some benchmark methods. Moreover, the CosRA index is free of parameters, which is a significant advantage in real applications. Further experiments show that the introduction of two turnable parameters cannot remarkably improve the overall performance of the CosRA index.

  5. A novel similarity index for better personalized recommendation

    CERN Document Server

    Chen, Ling-Jiao; Liu, Jin-Hu; Gao, Jian; Zhou, Tao

    2015-01-01

    Recommender systems benefit us in tackling the problem of information overload by predicting our potential choices among diverse niche objects. So far, a variety of personalized recommendation algorithms have been proposed and most of them are based on similarities, such as collaborative filtering and mass diffusion. Here, we propose a novel similarity index named CosRA, which combines advantages of both the cosine index and the resource-allocation (RA) index. By applying the CosRA index to real recommender systems including MovieLens, Netflix and RYM, we show that the CosRA-based method has better performance in accuracy, diversity and novelty than the state-of-the-art methods. Moreover, the CosRA index is free of parameters, which is a significant advantage in real applications. Further experiments show that the introduction of two turnable parameters cannot remarkably improve the overall performance of CosRA.

  6. Method

    Directory of Open Access Journals (Sweden)

    Xixin Wang

    2012-01-01

    Full Text Available ZrO2 nanotube arrays were prepared by anodization method in aqueous electrolyte containing (NH42SO4 and NH4F. The morphology and structure of nanotube arrays were characterized through scanning electron microscope, X-ray diffraction, and infrared spectra analysis. The zirconia nanotube arrays were used as catalyst in esterification reaction. The effects of calcination temperature and electrolyte concentration on catalytic esterification activity have been investigated in detail. Experiments indicate that nanotube arrays have highest catalytic activity when the concentration of (NH42SO4 is 1 mol/L, the concentration of NH4F is 1 wt%, and the calcination temperature is 400°C. Esterification reaction yield of as much as 97% could be obtained under optimal conditions.

  7. Recommendation System Based on Fuzzy Cognitive Map

    Directory of Open Access Journals (Sweden)

    Wei Liu

    2014-07-01

    Full Text Available With the increase of data volume and visitor volume, the website faces great challenge in the environment of network. How to know the users’ requirements rapidly and effectively and recommend the required information to the user becomes the research direction of all websites. The researchers of recommendation system propose a series of recommendation system models and algorithms for the user. The common challenge faced by these algorithms is how to judge the user intention and recommend the relevant content by little user action. The paper proposes the user situation awareness and information recommendation system based on fuzzy clustering analysis and fuzzy cognitive maps, and verifies the validity of the algorithm by the application to recommendation site of academic thesis.

  8. Recommender Systems for the Social Web

    CERN Document Server

    Pazos Arias, José J; Díaz Redondo, Rebeca P

    2012-01-01

    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...

  9. Network-based recommendation algorithms: A review

    CERN Document Server

    Yu, Fei; Gillard, Sebastien; Medo, Matus

    2015-01-01

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

  10. Network-based recommendation algorithms: A review

    Science.gov (United States)

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

    2016-06-01

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

  11. Kernel based collaborative recommender system for -purchasing

    Indian Academy of Sciences (India)

    M K Kavitha Devi; P Venkatesh

    2010-10-01

    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. CRS suffers from scalability, sparsity, and cold start problems. An intelligent integrated recommendation approach using radial basis function network (RBFN) and collaborative filtering (CF), based on Cover’s theorem, is proposed in order to overcome the traditional problems of CRS. The proposed system predicts the trend by considering both likes and dislikes of the active user. The empirical evaluation results reveal that the proposed approach is more effective than other existing approaches in terms of accuracy and relevance measure of recommendations.

  12. RECOMMENDER SYSTEMS IN E-COMMERCE APPLICATIONS

    Directory of Open Access Journals (Sweden)

    Gyöngyvér KOVÁCS

    2016-12-01

    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.

  13. On the Evolution of Critiquing Recommenders

    Science.gov (United States)

    McGinty, Lorraine; Reilly, James

    Over the past decade a significant amount of recommender systems research has demonstrated the benefits of conversational architectures that employ critique-based interfacing (e.g., Show me more like item A, but cheaper). The critiquing phenomenon has attracted great interest in line with the growing need for more sophisticated decision/recommendation support systems to assist online users who are overwhelmed by multiple product alternatives. Originally proposed as a powerful yet practical solution to the preference elicitation problem central to many conversational recommenders, critiquing has proved to be a popular topic in a variety of related areas (e.g., group recommendation, mixed-initiative recommendation, adaptive user interfacing, recommendation explanation). This chapter aims to provide a comprehensive, yet concise, source of reference for researchers and practitioners starting out in this area. Specifically, we present a deliberately non-technical overview of the critiquing research which has been covered in recent years.

  14. How to Get the Recommender Out of the Lab?

    Science.gov (United States)

    Picault, Jérome; Ribière, Myriam; Bonnefoy, David; Mercer, Kevin

    A personalised system is a complex system made of many interacting parts, from data ingestion to presenting the results to the users. A plethora of methods, tools, algorithms and approaches exist for each piece of such a system: many data and metadata processing methods, many user models, many filtering techniques, many accuracy metrics, many personalisation levels. In addition, a realworld recommender is a piece of an even larger and more complex environment on which there is little control: often the recommender is part of a larger application introducing constraints for the design of the recommender, e.g. the data may not be in a suitable format, or the environment may impose some architectural or privacy constraints. This can make the task of building such a recommender system daunting, and it is easy to make errors. Based on the experience of the authors and the study of other works, this chapter intends to be a guide on the design, implementation and evaluation of personalised systems. It presents the different aspects that must be studied before the design is even started, and how to avoid pitfalls, in a hands-on approach. The chapter presents the main factors to take into account to design a recommender system, and illustrates them through case studies of existing systems to help navigate in the many and complex choices that have to be faced.

  15. Method

    Directory of Open Access Journals (Sweden)

    Andrey Gnatov

    2015-01-01

    Full Text Available Recently repair and recovery vehicle body operations become more and more popular. A special place here is taken by equipment that provides performance of given repair operations. The most interesting things are methods for recovery of car body panels that allow the straightening without disassembling of car body panels and damaging of existing protective coating. Now, there are several technologies for repair and recovery of car body panels without their disassembly and dismantling. The most perspective is magnetic-pulse technology of external noncontact straightening. Basics of magnetic-pulse attraction, both ferromagnetic and nonferromagnetic thin-walled sheet metal, are explored. Inductor system calculation models of magnetic-pulse straightening tools are presented. Final analytical expressions for excited efforts calculation in the tools under consideration are introduced. According to the obtained analytical expressions, numerical evaluations of excited forces were executed. The volumetric epures of the attractive force radial distributions for different types of inductors were built. The practical testing of magnetic-pulse straightening with research tools is given. Using the results of the calculations we can create effective tools for an external magnetic-pulse straightening of car body panels.

  16. Privacy Preserving Recommendation System Based on Groups

    OpenAIRE

    Shang, Shang; Hui, Yuk; Hui, Pan; Cuff, Paul; Kulkarni, Sanjeev

    2013-01-01

    Recommendation systems have received considerable attention in the recent decades. Yet with the development of information technology and social media, the risk in revealing private data to service providers has been a growing concern to more and more users. Trade-offs between quality and privacy in recommendation systems naturally arise. In this paper, we present a privacy preserving recommendation framework based on groups. The main idea is to use groups as a natural middleware to preserve ...

  17. Using social ties in group recommendation

    OpenAIRE

    Bourke, Steven; McCarthy, Kevin; Smyth, Barry

    2011-01-01

    The social web is a mass of activity, petabytes of data are generated yearly. The social web has proven to be a great resource for new recommender system techniques and ideas. However it would appear that typically these techniques are not so social, as they only generate recommendations for a user acting alone. In this paper we take the social graph data and preference content (via Facebook) of 94 user study participants and generate social group recommendations for them and their friends. W...

  18. Web Page Recommendation Using Web Mining

    Directory of Open Access Journals (Sweden)

    Modraj Bhavsar

    2014-07-01

    Full Text Available On World Wide Web various kind of content are generated in huge amount, so to give relevant result to user web recommendation become important part of web application. On web different kind of web recommendation are made available to user every day that includes Image, Video, Audio, query suggestion and web page. In this paper we are aiming at providing framework for web page recommendation. 1 First we describe the basics of web mining, types of web mining. 2 Details of each web mining technique.3We propose the architecture for the personalized web page recommendation.

  19. ISFG: Recommendations on biostatistics in paternity testing.

    Science.gov (United States)

    Gjertson, David W; Brenner, Charles H; Baur, Max P; Carracedo, Angel; Guidet, Francois; Luque, Juan A; Lessig, Rüdiger; Mayr, Wolfgang R; Pascali, Vince L; Prinz, Mechthild; Schneider, Peter M; Morling, Niels

    2007-12-01

    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 concepts of genetic hypotheses and calculation concerns needed to produce valid PIs. The second and third recommendations address issues associated with population genetics (allele probabilities, Y-chromosome markers, mtDNA, and population substructuring) and special circumstances (deficiency/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 be adopted by all laboratories involved in paternity testing as the basis for their biostatistical analysis.

  20. ISFG: Recommendations on biostatistics in paternity testing

    DEFF Research Database (Denmark)

    Gjertson, David W; Brenner, Charles H; Baur, Max P

    2007-01-01

    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...

  1. OMB Recommended vs Approved Operating Budget

    Data.gov (United States)

    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....

  2. Crowd Avoidance and Diversity in Socio-Economic Systems and Recommendation

    CERN Document Server

    Gualdi, Stanislao; Zhang, Yi-Cheng

    2013-01-01

    Recommender systems recommend objects regardless of potential adverse effects of their overcrowding. We address this shortcoming by introducing crowd-avoiding recommendation where each object can be shared by only a limited number of users or where object utility diminishes with the number of users sharing it. We use real data to show that contrary to expectations, the introduction of these constraints enhances recommendation accuracy and diversity even in systems where overcrowding is not detrimental. The observed accuracy improvements are explained in terms of removing potential bias of the recommendation method. We finally propose a way to model artificial socio-economic systems with crowd avoidance and obtain first analytical results.

  3. Crowd avoidance and diversity in socio-economic systems and recommendations

    Science.gov (United States)

    Gualdi, S.; Medo, M.; Zhang, Y.-C.

    2013-01-01

    Recommender systems recommend objects regardless of potential adverse effects of their overcrowding. We address this shortcoming by introducing crowd-avoiding recommendation where each object can be shared by only a limited number of users or where object utility diminishes with the number of users sharing it. We use real data to show that contrary to expectations, the introduction of these constraints enhances recommendation accuracy and diversity even in systems where overcrowding is not detrimental. The observed accuracy improvements are explained in terms of removing potential bias of the recommendation method. We finally propose a way to model artificial socio-economic systems with crowd avoidance and obtain first analytical results.

  4. E-commerce Website Recommender System Based on Dissimilarity and Association Rule

    Directory of Open Access Journals (Sweden)

    MingWang Zhang

    2013-07-01

    Full Text Available By analyzing the current electronic commerce recommendation algorithm analysis, put forward a kind to use dissimilarity clustering and association recommendation algorithm, the algorithm realized web website shopping user data clustering by use of the dissimilarity, and then use the association rules algorithm for clustering results of association recommendation, experiments show that the algorithm compared with traditional clustering association algorithm of iteration times decrease, improve operational efficiency, to prove the method by use of the actual users purchase the recommended, and evidence of the effectiveness of the algorithm in recommendation.  

  5. Tibetan Life and Tibetological Discourse-Differences and Recommendations

    Directory of Open Access Journals (Sweden)

    Gerald Roche

    2009-03-01

    Full Text Available Heider's method of auto-ethnography is used to examine differences between everyday life as perceived by Tibetans and the Western Tibetological discourse that seeks to represent it. The significance of these differences is further discussed by examining the failure of critical discourse to impact Tibetology and narrow the gap between discourse and reality. Recommendations are made for improving Tibetology.

  6. Language disorders in young children : when is speech therapy recommended?

    NARCIS (Netherlands)

    Goorhuis-Brouwer, SM; Knijff, WA

    Objective: Analysis of treatment recommendation given by speech therapists. Evaluation of the language abilities in the examined children and re-examination of those abilities after 12 months. Materials and methods: Thirty-four children, aged between 2.0 and 5.3 years, referred to speech therapists

  7. Treating Rheumatoid Arthritis to Target : multinational recommendations assessment questionnaire

    NARCIS (Netherlands)

    Haraoui, Boulos; Smolen, Josef S.; Aletaha, Daniel; Breedveld, Ferdinand C.; Burmester, Gerd; Codreanu, Catalin; Da Silva, Jose Pereira; de Wit, Maarten; Dougados, Maxime; Durez, Patrick; Emery, Paul; Fonseca, Joao Eurico; Gibofsky, Allan; Gomez-Reino, Juan; Graninger, Winfried; Hamuryudan, Vedat; Jannaut Pena, Maria Jose; Kalden, Joachim; Kvien, Tore K.; Laurindo, Ieda; Martin-Mola, Emilio; Montecucco, Carlomaurizio; Santos Moreno, Pedro; Pavelka, Karel; Poor, Gyula; Cardiel, Mario H.; Stanislawska-Biernat, Ewa; Takeuchi, Tsutomu; van der Heijde, Desiree

    2011-01-01

    Aim To measure the level of agreement and application of 10 international recommendations for treating rheumatoid arthritis (RA) to a target of remission/low disease activity. Methods A 10-point Likert scale (1=fully disagree, 10=fully agree) measured the level of agreement with each of 10

  8. Language disorders in young children : when is speech therapy recommended?

    NARCIS (Netherlands)

    Goorhuis-Brouwer, SM; Knijff, WA

    2003-01-01

    Objective: Analysis of treatment recommendation given by speech therapists. Evaluation of the language abilities in the examined children and re-examination of those abilities after 12 months. Materials and methods: Thirty-four children, aged between 2.0 and 5.3 years, referred to speech therapists

  9. Nutrient Intake by Ultramarathon Runners: Can They Meet Recommendations?

    NARCIS (Netherlands)

    Wardenaar, F.C.; Vries, de J.H.M.; Witkamp, R.F.; Mensink, M.R.

    2015-01-01

    Purpose: The objective of this study was to investigate whether ultramarathon runners were able to meet nutrition recommendations during a training period and on a competition day. Methods: In preparation for a 60 or 120 km ultramarathon covering a varied terrain, male and female ultramarathon runne

  10. Language disorders in young children : when is speech therapy recommended?

    NARCIS (Netherlands)

    Goorhuis-Brouwer, SM; Knijff, WA

    2003-01-01

    Objective: Analysis of treatment recommendation given by speech therapists. Evaluation of the language abilities in the examined children and re-examination of those abilities after 12 months. Materials and methods: Thirty-four children, aged between 2.0 and 5.3 years, referred to speech therapists

  11. Aircraft Hydraulic System Leakage Detection and Servicing Recommendations Method

    Science.gov (United States)

    2014-10-02

    accumulators, filters, and consumers, that include all the actuators connected to the hydraulic power such as flight controls , brake and landing...Conference, October 4-8 Calgary, Alberta, Canada. Merrit, H. E., (1967), Hydraulic Control Systems. New York: John Willey & Sons. Vianna, W. O. L...2008), Modelagem e Análise do Sistema Hidráulico de uma Aeronave Comercial Regional. M.Sc. Thesis. Instituto Tecnológico de Aeronáutica, São José

  12. Diagnostic methods and recommendations for the cerebral creatine deficiency syndromes

    National Research Council Canada - National Science Library

    Clark, Joseph F; Cecil, Kim M

    Primary care pediatricians and a variety of specialist physicians strive to define an accurate diagnosis for children presenting with impairment of expressive speech and delay in achieving developmental milestones...

  13. Recommended environmental dose calculation methods and Hanford-specific parameters

    Energy Technology Data Exchange (ETDEWEB)

    Schreckhise, R.G.; Rhoads, K.; Napier, B.A.; Ramsdell, J.V. (Pacific Northwest Lab., Richland, WA (United States)); Davis, J.S. (Westinghouse Hanford Co., Richland, WA (United States))

    1993-03-01

    This document was developed to support the Hanford Environmental Dose overview Panel (HEDOP). The Panel is responsible for reviewing all assessments of potential doses received by humans and other biota resulting from the actual or possible environmental releases of radioactive and other hazardous materials from facilities and/or operations belonging to the US Department of Energy on the Hanford Site in south-central Washington. This document serves as a guide to be used for developing estimates of potential radiation doses, or other measures of risk or health impacts, to people and other biota in the environs on and around the Hanford Site. It provides information to develop technically sound estimates of exposure (i.e., potential or actual) to humans or other biotic receptors that could result from the environmental transport of potentially harmful materials that have been, or could be, released from Hanford operations or facilities. Parameter values and information that are specific to the Hanford environs as well as other supporting material are included in this document.

  14. Research Methods to Investigate Significant Life Experiences: Review and Recommendations

    Science.gov (United States)

    Chawla, Louise

    2006-01-01

    This article reviews different research approaches to understanding the significant experiences that influence peoples environmental concern and behaviour, with an emphasis on identifying the strengths and weaknesses of existing studies. It also reviews relevant findings regarding the validity of autobiographical memory, as memory is the medium…

  15. 40 CFR 231.5 - Recommended determination.

    Science.gov (United States)

    2010-07-01

    ... 40 Protection of Environment 24 2010-07-01 2010-07-01 false Recommended determination. 231.5... 404(c) PROCEDURES § 231.5 Recommended determination. (a) The Regional Administrator or his designee... public notice of the proposed determination, either withdraw the proposed determination or prepare a...

  16. Culinary Occupations. Instructional Materials Committee Recommendations Report.

    Science.gov (United States)

    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;…

  17. DEVELOPMENT OF A GENERIC RECOMMENDER SYSTEM

    Directory of Open Access Journals (Sweden)

    Dan Munteanu

    2004-12-01

    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.

  18. Electrochemical biosensors: recommended definitions and classification

    OpenAIRE

    Thevenot, Daniel,; Toth, Klara; Durst, Richard; Wilson, George

    2001-01-01

    International audience; Two Divisions of the International Union of Pure and Applied Chemistry (IUPAC), namely Physical Chemistry (Commission I.7 on Biophysical Chemistry formerly Steering Committee on Biophysical Chemistry) and Analytical Chemistry (Commission V.5 on Electroanalytical Chemistry) have prepared recommendations on the definition, classification and nomenclature related to electrochemical biosensors; these recommendations could, in the future, be extended to other types of biose...

  19. The seniorgezond recommender: exploration put into practice

    NARCIS (Netherlands)

    Hollink, V.; Someren, M. van; Hagen, S. ten; Hilgersom, M.J.C.; Rovekamp, T.J.M.

    2007-01-01

    Recommender systems suggest objects to users navigating a web site. They observe the pages that a user visits and predict which other pages may be of interest. On the basis of these predictions recommenders select a number of pages that are suggested to the user. By far the most popular recommendati

  20. Fusing Recommendations for Social Bookmarking Websites

    DEFF Research Database (Denmark)

    Bogers, Toine; van den Bosch, Antal

    2011-01-01

    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...

  1. Board advice following publication of the 1990 Recommendations of ICRP

    CERN Document Server

    United Kingdom. At. Energy Res. Establ. Nat. Radiolog. Protect. Board. Harwell

    1991-01-01

    The International Commission on Radiological Protection (ICRP) has published new Recommendations and the board has a statutory duty to advise Government and those with responsibilities for radiation protection on the acceptability to and the applicability in the UK of those Recommendations. The Board wishes to consult widely before finalising the advice which is proposed in this document. In general, the Board endorses the conceptual framework for radiological protection recommended by ICRP. In particular, the distinction between practices and intervention is useful and is consistent with the way in which the Board has presented its recent advice. A major new concept is that of a constraint. The Board believes that the introduction of constraints provides a powerful method for improving protection against ionising radiation. The advice in this consultative document is for maximum generic values of dose constraints for both workers and the public. Finally the Board proposes to endorse the use of the radiologic...

  2. IA-Regional-Radio - Social Network for Radio Recommendation

    Science.gov (United States)

    Dziczkowski, Grzegorz; Bougueroua, Lamine; Wegrzyn-Wolska, Katarzyna

    This chapter describes the functions of a system proposed for the music hit recommendation from social network data base. This system carries out the automatic collection, evaluation and rating of music reviewers and the possibility for listeners to rate musical hits and recommendations deduced from auditor's profiles in the form of regional Internet radio. First, the system searches and retrieves probable music reviews from the Internet. Subsequently, the system carries out an evaluation and rating of those reviews. From this list of music hits, the system directly allows notation from our application. Finally, the system automatically creates the record list diffused each day depending on the region, the year season, the day hours and the age of listeners. Our system uses linguistics and statistic methods for classifying music opinions and data mining techniques for recommendation part needed for recorded list creation. The principal task is the creation of popular intelligent radio adaptive on auditor's age and region - IA-Regional-Radio.

  3. Statistical analysis of $k$-nearest neighbor collaborative recommendation

    CERN Document Server

    Biau, Gérard; Rouvière, Laurent; 10.1214/09-AOS759

    2010-01-01

    Collaborative recommendation is an information-filtering technique that attempts to present information items that are likely of interest to an Internet user. Traditionally, collaborative systems deal with situations with two types of variables, users and items. In its most common form, the problem is framed as trying to estimate ratings for items that have not yet been consumed by a user. Despite wide-ranging literature, little is known about the statistical properties of recommendation systems. In fact, no clear probabilistic model even exists which would allow us to precisely describe the mathematical forces driving collaborative filtering. To provide an initial contribution to this, we propose to set out a general sequential stochastic model for collaborative recommendation. We offer an in-depth analysis of the so-called cosine-type nearest neighbor collaborative method, which is one of the most widely used algorithms in collaborative filtering, and analyze its asymptotic performance as the number of user...

  4. Semantic Grounding Strategies for Tagbased Recommender Systems

    CERN Document Server

    Durao, Frederico

    2011-01-01

    Recommender systems usually operate on similarities between recommended items or users. Tag based recommender systems utilize similarities on tags. The tags are however mostly free user entered phrases. Therefore, similarities computed without their semantic groundings might lead to less relevant recommendations. In this paper, we study a semantic grounding used for tag similarity calculus. We show a comprehensive analysis of semantic grounding given by 20 ontologies from different domains. The study besides other things reveals that currently available OWL ontologies are very narrow and the percentage of the similarity expansions is rather small. WordNet scores slightly better as it is broader but not much as it does not support several semantic relationships. Furthermore, the study reveals that even with such number of expansions, the recommendations change considerably.

  5. A Personalized Word of Mouth Recommender Model

    Directory of Open Access Journals (Sweden)

    Chihli Hung

    2008-09-01

    Full Text Available Word of mouth (WOM has a powerful effect on consumer behavior. Manually collecting WOM is very time-consuming in the era of the Internet. An automatic WOM recommender model is useful for both marketers and consumers. There are many different product features and thus many consumer choices. Each individual consumer has different preferences and these preferences may be changed deliberately or unwittingly. However, most existing WOM recommender models do not adapt to user preferences. This study proposes a conceptual WOM recommender model, which contains WOM collecting, document processing, recommending and user preference processing phases. More specifically, the self-organizing map (SOM is used to store and abstract user preferences. This proposed WOM model makes recommendations to consumers or users according to their adaptive preferences.

  6. Recommendation-Aware Smartphone Sensing System

    Directory of Open Access Journals (Sweden)

    Mu-Yen Chen

    2014-12-01

    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.

  7. Product Recommendation System Based on Personal Preference Model Using CAM

    Science.gov (United States)

    Murakami, Tomoko; Yoshioka, Nobukazu; Orihara, Ryohei; Furukawa, Koichi

    Product recommendation system is realized by applying business rules acquired by data maining techniques. Business rules such as demographical patterns of purchase, are able to cover the groups of users that have a tendency to purchase products, but it is difficult to recommend products adaptive to various personal preferences only by utilizing them. In addition to that, it is very costly to gather the large volume of high quality survey data, which is necessary for good recommendation based on personal preference model. A method collecting kansei information automatically without questionnaire survey is required. The constructing personal preference model from less favor data is also necessary, since it is costly for the user to input favor data. In this paper, we propose product recommendation system based on kansei information extracted by text mining and user's preference model constructed by Category-guided Adaptive Modeling, CAM for short. CAM is a feature construction method that can generate new features constructing the space where same labeled examples are close and different labeled examples are far away from some labeled examples. It is possible to construct personal preference model by CAM despite less information of likes and dislikes categories. In the system, retrieval agent gathers the products' specification and user agent manages preference model, user's likes and dislikes. Kansei information of the products is gained by applying text mining technique to the reputation documents about the products on the web site. We carry out some experimental studies to make sure that prefrence model obtained by our method performs effectively.

  8. Arterial Stiffness: Recommendations and Standardization

    Science.gov (United States)

    Townsend, Raymond R.

    2017-01-01

    The use of arterial stiffness measurements in longitudinal cohorts of normal populations, hypertensive patients, diabetic patients, healthy elderly, and patients on hemodialysis have confirmed the value of this important measure of arterial health, and established its complementary role to measures of blood pressure. Its contribution to understanding cardiovascular and mortality risk beyond blood pressure measurements has moved measures of arterial stiffness into the ranks of factors such as elevated cholesterol, diabetes, and left ventricular hypertrophy in considering cardiovascular risk. The recent international collaboration's publication of reference ranges for normal people and those with hypertension, along with the American Heart Association's recent scientific statement on standardizing arterial stiffness measurements are important aspects to consider in future studies employing these valuable methods, particularly as interventions that not only lower blood pressure but improve arterial function are tested in the clinical arena. PMID:28275588

  9. Online Tonsillectomy Resources: Are Parents Getting Consistent and Readable Recommendations?

    Science.gov (United States)

    Wozney, Lori; Chorney, Jill; Huguet, Anna; Song, Jin Soo; Boss, Emily F; Hong, Paul

    2017-05-01

    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 information easier to read.

  10. FERTILIZER RECOMMENDATION SYSTEM FOR MELON BASED ON NUTRITIONAL BALANCE

    Directory of Open Access Journals (Sweden)

    José Aridiano Lima de Deus

    2015-04-01

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

  11. [Patient safety recommendations for out of operating room procedure sedation].

    Science.gov (United States)

    Arnal Velasco, D; Romero García, E; Martínez Palli, G; Muñoz Corsini, L; Rey Martínez, M; Postigo Morales, S

    There is an increasing and more complex demand for sedation for procedures out of the operating room. For different reasons, nowadays the administration of sedation varies considerably. We believe that a patient safety approach rather an approach out of corporate or economic interests is desirable. We created a working group of experts within the Spanish Anaesthesia and Reanimation Incident Reporting System (SENSAR) to prepare a series of recommendations through a non-systematic review. These recommendations were validated by an expert panel of 31 anaesthesiologists through two rounds of an adaptation of the Delphi Method where more than 70% agreement was required. The resulting recommendations include previous evaluation, material and staffing needs for sedation for procedures, post-sedation recommendations and activity and quality control advice. We present patient centred recommendations for the safe use of sedation for out of the operating room procedures from the point of view of the professionals with the most experience in its administration. We believe that these can be used as a guide to reduce variability and increase patient safety in the organisation of healthcare. Copyright © 2016 SECA. Publicado por Elsevier España, S.L.U. All rights reserved.

  12. Patient safety recommendations for out of operating room procedure sedation.

    Science.gov (United States)

    Arnal Velasco, D; Romero García, E; Martínez Palli, G; Muñoz Corsini, L; Rey Martínez, M; Postigo Morales, S

    2016-12-01

    There is an increasing and more complex demand for sedation for procedures out of the operating room. For different reasons, nowadays the administration of sedation varies considerably. We believe that a patient safety approach rather an approach out of corporate or economic interests is desirable. We created a working group of experts within the Spanish Anaesthesia and Reanimation Incident Reporting System (SENSAR) to prepare a series of recommendations through a non-systematic review. These recommendations were validated by an expert panel of 31 anaesthesiologists through two rounds of an adaptation of the Delphi Method where more than 70% agreement was required. The resulting recommendations include previous evaluation, material and staffing needs for sedation for procedures, post-sedation recommendations and activity and quality control advice. We present patient centred recommendations for the safe use of sedation for out of the operating room procedures from the point of view of the professionals with the most experience in its administration. We believe that these can be used as a guide to reduce variability and increase patient safety in the organisation of healthcare. Copyright © 2016 Sociedad Española de Anestesiología, Reanimación y Terapéutica del Dolor. Publicado por Elsevier España, S.L.U. All rights reserved.

  13. Social Trust Aware Item Recommendation for Implicit Feedback

    Institute of Scientific and Technical Information of China (English)

    郭磊; 马军; 姜浩然; 陈竹敏; 邢长明

    2015-01-01

    Social trust aware recommender systems have been well studied in recent years. However, most of existing methods focus on the recommendation scenarios where users can provide explicit feedback to items. But in most cases, the feedback is not explicit but implicit. Moreover, most of trust aware methods assume the trust relationships among users are single and homogeneous, whereas trust as a social concept is intrinsically multi-faceted and heterogeneous. Simply exploiting the raw values of trust relations cannot get satisfactory results. Based on the above observations, we propose to learn a trust aware personalized ranking method with multi-faceted trust relations for implicit feedback. Specifically, we first introduce the social trust assumption — a user’s taste is close to the neighbors he/she trusts — into the Bayesian Personalized Ranking model. To explore the impact of users’ multi-faceted trust relations, we further propose a category-sensitive random walk method CRWR to infer the true trust value on each trust link. Finally, we arrive at our trust strength aware item recommendation method SocialBPRCRWR by replacing the raw binary trust matrix with the derived real-valued trust strength. Data analysis and experimental results on two real-world datasets demonstrate the existence of social trust influence and the effectiveness of our social based ranking method SocialBPRCRWR in terms of AUC (area under the receiver operating characteristic curve).

  14. Recommendations of the workshop on advanced geothermal drilling systems

    Energy Technology Data Exchange (ETDEWEB)

    Glowka, D.A.

    1997-12-01

    At the request of the U.S. Department of Energy, Office of Geothermal Technologies, Sandia National Laboratories convened a group of drilling experts in Berkeley, CA, on April 15-16, 1997, to discuss advanced geothermal drilling systems. The objective of the workshop was to develop one or more conceptual designs for an advanced geothermal drilling system that meets all of the criteria necessary to drill a model geothermal well. The drilling process was divided into ten essential functions. Each function was examined, and discussions were held on the conventional methods used to accomplish each function and the problems commonly encountered. Alternative methods of performing each function were then listed and evaluated by the group. Alternative methods considered feasible or at least worth further investigation were identified, while methods considered impractical or not potentially cost-saving were eliminated from further discussion. This report summarizes the recommendations of the workshop participants. For each of the ten functions, the conventional methods, common problems, and recommended alternative technologies and methods are listed. Each recommended alternative is discussed, and a description is given of the process by which this information will be used by the U.S. DOE to develop an advanced geothermal drilling research program.

  15. Recommendations of the workshop on advanced geothermal drilling systems

    Energy Technology Data Exchange (ETDEWEB)

    Glowka, D.A.

    1997-12-01

    At the request of the U.S. Department of Energy, Office of Geothermal Technologies, Sandia National Laboratories convened a group of drilling experts in Berkeley, CA, on April 15-16, 1997, to discuss advanced geothermal drilling systems. The objective of the workshop was to develop one or more conceptual designs for an advanced geothermal drilling system that meets all of the criteria necessary to drill a model geothermal well. The drilling process was divided into ten essential functions. Each function was examined, and discussions were held on the conventional methods used to accomplish each function and the problems commonly encountered. Alternative methods of performing each function were then listed and evaluated by the group. Alternative methods considered feasible or at least worth further investigation were identified, while methods considered impractical or not potentially cost-saving were eliminated from further discussion. This report summarizes the recommendations of the workshop participants. For each of the ten functions, the conventional methods, common problems, and recommended alternative technologies and methods are listed. Each recommended alternative is discussed, and a description is given of the process by which this information will be used by the U.S. DOE to develop an advanced geothermal drilling research program.

  16. Portuguese Recommendations for the use of biological therapies in patients with rheumatoid arthritis- 2016 update

    Directory of Open Access Journals (Sweden)

    Catia Duarte

    2017-04-01

    Full Text Available Objective: To update the recommendations for the treatment of Rheumatoid Arthritis (RA with biological therapies, endorsed by the Portuguese Society of Rheumatology (SPR. Methods: These treatment recommendations were formulated by Portuguese rheumatologists based on literature evidence and consensus opinion. At a national meeting the 10 recommendations were discussed and updated. The document resulting from this meeting circulated to all Portuguese rheumatologists, who anonymously voted online on the level of agreement with the recommendations. Results: These recommendations cover general aspects as shared decision, prospective registry in Reuma.pt, assessment of activity and RA impact and treatment objective. Consensus was also achieved regarding specific aspects as initiation of biologic therapy, assessment of response, switching and definition of persistent remission. Conclusion: These recommendations may be used for guidance of treatment with biological therapies in patients with RA. As more evidence becomes available and more therapies are licensed, these recommendations will be updated.

  17. Finding and Recommending Scholarly Articles

    CERN Document Server

    Kurtz, Michael J

    2012-01-01

    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 b...

  18. Mouthrinse recommendation for prosthodontic patients

    Directory of Open Access Journals (Sweden)

    Sheila Cavalca CORTELLI

    2014-01-01

    Full Text Available Different reasons can contribute to classifying dental prosthesis wearers as high-risk individuals in relation to dental biofilm accumulation. These include a past history of oral disease, age and additional retentive areas. Other common complaints include inflammation and halitosis. Moreover, prosthesis replacement and prosthetic pillar loss are generally associated with caries and periodontal disease recurrence. Therefore, the present study undertook to make a critical review of the literature, aiming at discussing the main aspects related to chemical agent prescriptions for dental prosthesis wearers. Most of the articles were selected based on relevance, methods and availability in regard to the specific subject under investigation, without considering publication year limitations. Different types of prostheses and their impact on teeth and other oral tissues were reported. It was demonstrated that there is greater biofilm buildup and increased inflammatory levels in the presence of different types of prostheses, suggesting that additional measures are required both on population-wide and individual levels in order to control these factors. Mechanical control consists of a combination of manual or electric toothbrush and toothpaste, as well as specific devices for interdental cleaning. Although many chemical agents exhibit antimicrobial benefits when used for prosthesis disinfection, only a few agents can be used safely without causing damage. Regarding the selection of antiseptics by the overall population, chlorhexidine is the most indicated in the short term and in sporadic cases. The most indicated adjuncts to overcome the deficiencies and limitations of daily mechanical biofilm control are products containing essential oils as active ingredients.

  19. “Dentists’ and dietitians’ recommendations of snacks and dental caries experience among kindergarteners”

    Science.gov (United States)

    Ranginwala, Tanya; Teich, Sorin

    2016-01-01

    Background Parents receive diet recommendations for their children from dentists and dietitians, but a conflict of diet suggestions has been reported. This research was conducted to investigate dental caries experiences in children consuming snacks that were recommended by dentists and/or dietitians. Material and Methods A total of 442 kindergarteners under went dental examinations, and their caregivers filled out questionnaires. Snacks were sorted by name. Three dentists and three dietitians determined whether they would recommend these snacks. The snacks were divided into four categories: snacks recommended by both groups, snacks recommended by neither, snacks recommended only by dentists, and snacks recommend only by dieticians. Children were assigned to particular groups based on their primary snack consumption. The children’s caries experiences (dft) were compared among the four groups. Results The agreement level on the recommended snacks between dietitians and dentists was moderate (Kappa=0.43). Thirty-nine snacks were identified; 13 recommended by neither, 4 recommended by dietitians, 7 were recommended only by dentists, and 15 were recommended by both. The mean (standard deviation) of dft amongthe children was 4.66 (3.81), 2.66 (3.17), 3.21 (3.37), and 4.02 (4.02), and respectively. The ANOVA and Tukey post-hoc tests indicated that children who consumed snacks recommended only by one professional, dietitian or dentist, have significantly fewer dental caries than children who consumed snacks recommended by neither professional. (ANOVA: F=4.494, p=0.004, Tukey post-hoc test: p=0.007 and p=0.046, respectively). Conclusions Dentists can recommend snacks that are nutrient dense, even though it contains sucrose. Key words:Child, dental caries, snacks, dentist, nutritionists. PMID:27957270

  20. When are Analyst Recommendation Changes Influential?

    OpenAIRE

    Roger K. Loh; Stulz, René M.

    2009-01-01

    Not all stock recommendation changes are equal. In a sample constructed to minimize the impact of confounding news, relatively few analyst recommendation changes are influential in the sense that they impact investors' beliefs about a firm in a way that could be noticed in that firm's stock returns. More than one-third of the stock-price reactions to analyst recommendation changes have the wrong sign and only approximately 10% have significant stock-price reactions at the 5% level using an ex...

  1. Leveraging position bias to improve peer recommendation.

    Directory of Open Access Journals (Sweden)

    Kristina Lerman

    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.

  2. Effective Personalized Recommendation in Collaborative Tagging Systems

    CERN Document Server

    Zhang, Zi-Ke

    2009-01-01

    Recently, collaborative tagging systems have attracted more and more attention and have been widely applied in web systems. Tags provide highly abstracted information about personal preferences and item content, and are therefore potential to help in improving better personalized recommendations. In this paper, we propose a tag-based recommendation algorithm considering the personal vocabulary and evaluate it in a real-world dataset: Del.icio.us. Experimental results demonstrate that the usage of tag information can significantly improve the accuracy of personalized recommendations.

  3. Mobile Recommendation Based on Link Community Detection

    Directory of Open Access Journals (Sweden)

    Kun Deng

    2014-01-01

    Full Text Available Since traditional mobile recommendation systems have difficulty in acquiring complete and accurate user information in mobile networks, the accuracy of recommendation is not high. In order to solve this problem, this paper proposes a novel mobile recommendation algorithm based on link community detection (MRLD. MRLD executes link label diffusion algorithm and maximal extended modularity (EQ of greedy search to obtain the link community structure, and overlapping nodes belonging analysis (ONBA is adopted to adjust the overlapping nodes in order to get the more accurate community structure. MRLD is tested on both synthetic and real-world networks, and the experimental results show that our approach is valid and feasible.

  4. Traffic management system: Recommendations. Final report

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1998-09-30

    This report identifies the primary and secondary air traffic networks inside and outside Buenos Aires Metropolitan Area where particular safety and traffic problems exist. The Consortium Louis Berger International, Inc.-IBI Group-UBATEC provides recommendations divided into two groups: one based on engineering aspects for each identified deficiency in the selected routes; and a second group that is based on the results of the evaluations of needs. This is Volume 5, Recommendations Final Report, and it provides recommendations to optimize transportation in the city of Buenos Aires.

  5. AASC Recommendations for the Education of an Applied Climatologist

    Science.gov (United States)

    Nielsen-Gammon, J. W.; Stooksbury, D.; Akyuz, A.; Dupigny-Giroux, L.; Hubbard, K. G.; Timofeyeva, M. M.

    2011-12-01

    The American Association of State Climatologists (AASC) has developed curricular recommendations for the education of future applied and service climatologists. The AASC was founded in 1976. Membership of the AASC includes state climatologists and others who work in state climate offices; climate researchers in academia and educators; applied climatologists in NOAA and other federal agencies; and the private sector. The AASC is the only professional organization dedicated solely to the growth and development of applied and service climatology. The purpose of the recommendations is to offer a framework for existing and developing academic climatology programs. These recommendations are intended to serve as a road map and to help distinguish the educational needs for future applied climatologists from those of operational meteorologists or other scientists and practitioners. While the home department of climatology students may differ from one program to the next, the most essential factor is that students can demonstrate a breadth and depth of understanding in the knowledge and tools needed to be an applied climatologist. Because the training of an applied climatologist requires significant depth and breadth, the Masters degree is recommended as the minimum level of education needed. This presentation will highlight the AASC recommendations. These include a strong foundation in: - climatology (instrumentation and data collection, climate dynamics, physical climatology, synoptic and regional climatology, applied climatology, climate models, etc.) - basic natural sciences and mathematics including calculus, physics, chemistry, and biology/ecology - fundamental atmospheric sciences (atmospheric dynamics, atmospheric thermodynamics, atmospheric radiation, and weather analysis/synoptic meteorology) and - data analysis and spatial analysis (descriptive statistics, statistical methods, multivariate statistics, geostatistics, GIS, etc.). The recommendations also include a

  6. Gender bias found in recommendation letters

    Science.gov (United States)

    Kruesi, Liz

    2016-11-01

    Female postdoctoral fellowship applicants are half as likely as their male counterparts to receive glowing recommendation letters, according to a study by researchers at Columbia University's Lamont-Doherty Earth Observatory (LDEO).

  7. EURRECA—Framework for Aligning Micronutrient Recommendations

    NARCIS (Netherlands)

    Veer, van 't P.; Grammatikaki, E.; Matthys, C.; Raats, M.M.; Contor, L.

    2013-01-01

    There is currently no standard approach for deriving micronutrient recommendations, and large variations exist across Europe, causing confusion among consumers, food producers, and policy makers. More aligned information could influence dietary behaviors and potentially lead to a healthier populatio

  8. 2016 Updated MASCC/ESMO Consensus Recommendations

    DEFF Research Database (Denmark)

    Herrstedt, Jørn; Roila, Fausto; Warr, David

    2017-01-01

    PURPOSE: This review summarizes the recommendations for the prophylaxis of nausea and vomiting in adults receiving highly emetogenic chemotherapy (HEC) which includes cisplatin, mechlorethamine, streptozocin, cyclophosphamide >1500 mg/m(2), carmustine, dacarbazine, and the combination of an anthr...

  9. Consistence beats causality in recommender systems

    CERN Document Server

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

    2015-01-01

    The explosive growth of information challenges people's capability in finding out items fitting to their own interests. Recommender systems provide an efficient solution by automatically push possibly relevant items to users according to their past preferences. Recommendation algorithms usually embody the causality from what having been collected to what should be recommended. In this article, we argue that in many cases, a user's interests are stable, and thus the previous and future preferences are highly consistent. The temporal order of collections then does not necessarily imply a causality relationship. We further propose a consistence-based algorithm that outperforms the state-of-the-art recommendation algorithms in disparate real data sets, including \\textit{Netflix}, \\textit{MovieLens}, \\textit{Amazon} and \\textit{Rate Your Music}.

  10. Personalized recommendation based on unbiased consistence

    Science.gov (United States)

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

    2015-08-01

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

  11. Management Recommendations: Native Adaptive Management Program (NPAM)

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Management recommendations are a product of the decision support tool for the Native Adaptive Management Program (NPAM). The provides tall and mixed grass management...

  12. Machine learning paradigms applications in recommender systems

    CERN Document Server

    Lampropoulos, Aristomenis S

    2015-01-01

    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 ...

  13. Preventive Care Recommendations for Adults with MS

    Science.gov (United States)

    ... often per physician recommend ation. Over age 40 Cardiovascular Disease Men over age 45 and women over age ... older should consume 1200-1500 mg daily. n Vitamin D. Many American adults are at risk of ...

  14. Final wilderness recommendation : Mattamuskeet National Wildlife Refuge

    Data.gov (United States)

    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.

  15. Personalized Academic Research Paper Recommendation System

    OpenAIRE

    Lee, Joonseok; Lee, Kisung; Kim, Jennifer G.

    2013-01-01

    A huge number of academic papers are coming out from a lot of conferences and journals these days. In these circumstances, most researchers rely on key-based search or browsing through proceedings of top conferences and journals to find their related work. To ease this difficulty, we propose a Personalized Academic Research Paper Recommendation System, which recommends related articles, for each researcher, that may be interesting to her/him. In this paper, we first introduce our web crawler ...

  16. A Flexible Recommendation System for Cable TV

    OpenAIRE

    Goncalves, Diogo; Costa, Miguel; Couto, Francisco M.

    2016-01-01

    Recommendation systems are being explored by Cable TV operators to improve user satisfaction with services, such as Live TV and Video on Demand (VOD) services. More recently, Catch-up TV has been introduced, allowing users to watch recent broadcast content whenever they want to. These services give users a large set of options from which they can choose from, creating an information overflow problem. Thus, recommendation systems arise as essential tools to solve this problem by helping users ...

  17. WWW COLLABORATIVE RECOMMENDATION BASED ON RELIABILITY

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    Collaborative filtering recommender systems often suffer from the "Matchmaker" problem, which comes from the false assumption that users are counted only based on their similarity, and high similarity means good advisers. In order to find good advisers for every user, a matchmaker's reliability mode based on the algorithm deriving from Hits is constructed, and it is applied in the proposed World Wide Web (WWW)collaborative recommendation system. Comparative experimental results also show that our approach obviously improves the substantial performance.

  18. Concept-based Recommendations for Internet Advertisement

    CERN Document Server

    Ignatov, Dmitry I

    2009-01-01

    The problem of detecting terms that can be interesting to the advertiser is considered. If a company has already bought some advertising terms which describe certain services, it is reasonable to find out the terms bought by competing companies. A part of them can be recommended as future advertising terms to the company. The goal of this work is to propose better interpretable recommendations based on FCA and association rules.

  19. Content recommendation, a challenge for television

    Directory of Open Access Journals (Sweden)

    Joëlle Farchy

    2016-07-01

    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.

  20. Recommendations for reducing ambiguity in written procedures.

    Energy Technology Data Exchange (ETDEWEB)

    Matzen, Laura E.

    2009-11-01

    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.

  1. Practice parameters and strength of recommendation data: a variable compass.

    Science.gov (United States)

    Banks, Taylor; Savitz, Julia; Nelson, Michael R

    2014-08-01

    Practice parameters and guidelines shape and influence the method and manner in which medicine is practiced. With more than 121 scales and methods of assessing and rating evidence, a comparison of practice parameters can appear daunting. An evaluation of the evidence engenders a sense of the evolution of a specialty and a roadmap for the future. To assess the level of evidence underlying recommendations in allergy-immunology (AI) practice parameters. We analyzed the practice parameters that guide AI (n = 15), otolaryngology (n = 8), pediatrics (n = 13), and internal medicine (n = 10) as they appeared on August 30, 2012. Strength of recommendation data was compared after making adjustments for differences in rating scales. The strength of recommendation calculated from strong to weak for the AI practice parameters using a standardized format yielded the following grades: A in 195 (13.9%), B in 342 (24.4%), C in 606 (43.2%), D in 231 (16.4%), and E in 29 (2.1%). Controlled trial-based evidence (A and B) demonstrated considerable variability among individual AI practice parameters (range, 1.3%-100%). Evidence from controlled trials was lower in the subspecialty fields (38.3% in AI and 38.2% in otolaryngology) compared with the primary care fields (55.6% in pediatrics and 86.1% in internal medicine). Considerable variability exists in the strength of recommendations within the AI practice parameters. The guidelines created by the primary care fields rest on a larger base of evidence collected from controlled trials. These findings likely reflect the adopted approach of making recommendations for less well-studied conditions and practices in AI to assist practitioners and patients and at the same time highlight the myriad opportunities for future research. Copyright © 2014 American College of Allergy, Asthma & Immunology. Published by Elsevier Inc. All rights reserved.

  2. Query Recommendation by Coupling Personalization with Clustering for Search Engine

    Directory of Open Access Journals (Sweden)

    Dhiliphanrajkumar.Thambidurai

    2016-11-01

    Full Text Available In the present world internet and web search engines have become an important part in one’s day-today life. For a user query, more than few thousand web pages are retrieved but most of them are irrelevant. A major problem in search engine is that the user queries are usually short and ambiguous, and they are not sufficient to satisfy the precise user needs. Also listing more number of results according to user make them worry about searching the desired results and it takes large amount of time to search from the huge list of results. To overcome all the problems, an effective approach is developed by capturing the users’ click through and bookmarking data to provide personalized query recommendation. For retrieving the results, Google API is used. Experimental results show that the proposed method is providing better query recommendation results than the existing query suggestion methods.

  3. Ambulatory Blood Pressure Monitoring – Clinical Practice Recommendations

    Directory of Open Access Journals (Sweden)

    Katalin Mako

    2016-09-01

    Full Text Available Ambulatory blood pressure monitoring (ABPM became a subject of considerable scientific interest. Due to the increasing use of the ABPM in everyday clinical practice it is important that all the users have a correct knowledge on the clinical indications, the methodology of using the device including some technical issues and the interpretation of results. In the last years several guidelines and position papers have been published with recommendations for the monitoring process, reference values, for clinical practice and research. This paper represents a summary of the most important aspects related to the use of ABPM in daily practice, being a synthesis of recommendations from the recent published guidelines and position papers. This reference article presents the practical and technical issues of ABPM, the use of this method in special situations, the clinical interpretation of measured values including the presentation of different ABPM patterns, derived parameters, the prognostic significance and the limitations of this method.

  4. Social Recommender Systems Based on Coupling Network Structure Analysis

    CERN Document Server

    Hu, Xiao; Chen, Xiaolong; Zhang, Zi-Ke

    2012-01-01

    The past few years has witnessed the great success of recommender systems, which can significantly help users find relevant and interesting items for them in the information era. However, a vast class of researches in this area mainly focus on predicting missing links in bipartite user-item networks (represented as behavioral networks). Comparatively, the social impact, especially the network structure based properties, is relatively lack of study. In this paper, we firstly obtain five corresponding network-based features, including user activity, average neighbors' degree, clustering coefficient, assortative coefficient and discrimination, from social and behavioral networks, respectively. A hybrid algorithm is proposed to integrate those features from two respective networks. Subsequently, we employ a machine learning process to use those features to provide recommendation results in a binary classifier method. Experimental results on a real dataset, Flixster, suggest that the proposed method can significan...

  5. Are Physicians Good Candidates For Recommending Diet?

    Directory of Open Access Journals (Sweden)

    S Hosseini

    2008-05-01

    Full Text Available Background: Primary prevention status and goals in 2010 are promoting healthy weight and eating habits and dietary ma­nipula­tion considered in all reports to be the cornerstone of prevention and management of chronic diseases. Since in de­velop­ing countries physicians are in the front line of responding patients' questions regarding their diet, we decided to evalu­ate their necessary nutritional knowledge for accomplishing this mission and to identify consideration for improving the paucity of nutrition education and the nutrition literacy in medical training program, we did the same education in medi­cal students.Methods: Applied nutritional knowledge of 150 general, specialist and sub specialist physicians and 202 medical students was evaluated by structured self administrative questionnaire. Eighteen questions which could be self completed in less than 5 minutes were filled by each subject. Results: The percentage of physicians who gave dietary recommendations to their patients was 73% but the mean correct re­sponds to questions were 3.73±2.15 and 5.87±2.14 out of 14 questions in physicians and medical students respectively. Conclusions: Our data show deficient applied nutritional knowledge of physicians is one of   the main problems of hospital mal­nu­trition. As the same results were shown in medical students, this can not be due to forgetting what was learned but can be related to the quality of nutrition training.  

  6. A Group Decision Making Method for Construction Machinery Intellectual Property Product Recommendation Based on Consistency and Consensus%基于一致性与共识的工程机械知识产权产品推荐群决策方法

    Institute of Scientific and Technical Information of China (English)

    徐选华; 钟香玉; 陈莹; 王秋凤

    2016-01-01

    针对工程机械企业对知识产权产品选择困难的问题,提出一种基于一致性与共识的工程机械知识产权产品推荐群决策方法。在知识产权产品推荐决策过程中考虑了决策专家的一致性与共识水平,结合这两个指标来判断专家是否达到一定的一致性/共识水平。在一致性/共识水平不高的情况下利用反馈机制修正专家偏好。当一致性/共识水平达到一定程度时,采用量词引导优势度与非优势度方法对知识产权产品进行选优。最后,通过一个算例验证了该方法的有效性与实用性。%Aiming at the problem that it is difficult for construction machinery enterprises to choose intellectual property products,we propose a group decision making method for construction machinery intellectual proper-ty product recommendation based on consistency and consensus.We consider the consistency and consensus level simultaneously during the recommendation decision-making process and combined to judge whether the consistency/consensus level of experts reach a certain level.Using the feedback mechanism to change the preferences of experts when the consistency/consensus level is not high.When the consistency/consensus lev-el reaches a certain level,we use the quantifier guided dominance degree (QGDD)and quantifier guided non-dominance degree (QGNDD)to select the suitable intellectual property product.Finally,we use an ex-ample to verify the validity and practicability of the method.

  7. Recommending blood glucose monitors, a pharmacy perspective.

    Science.gov (United States)

    Carter, Alan

    2007-03-01

    Selection of what blood glucose monitoring system to utilize has become an issue for physicians, diabetes educators, pharmacists, and patients. The field of competing makes and models of blood glucose monitoring systems has become crowded, with manufacturers touting improvements in accuracy, ease of use/alternate site options, stored results capacity, software evaluation tools, and/or price point. Personal interviews of 12 pharmacists from community and academic practice settings about monitor preference, as well as results from a national survey of pharmacist recommendations, were compared to actual wholesale sales data to estimate the impact of such recommendations on final monitor selection by the patient. Accu-Chek monitors were recommended 34.65% of the time and represented 28.58% of sales, with a success rate of 82.48% of being the monitor selected. OneTouch monitors had 27.72% of recommendations but represented 31.43% of sales, indicating possible patient brand loyalty or formulary preference for that product. FreeStyle(R) monitors came in third for pharmacist recommendations and were selected by the patient 61.68% of the time when recommended. The category of "other monitor" choices was selected 60.89% of the time by patients given those suggestions. Included in the "other monitor" category was the new disposable monitor marketed as the Sidekick. Based on sales data provided, the Sidekick made up 2.87% of "other monitor" category sales, representing 68% of the "other monitor" segment. While patients frequently follow pharmacist monitoring system suggestions, the ultimate deciding factor is most often the final out-of-pocket cost to the patient. As a result, cost of supplies often becomes the most important determining factor in final monitor selection at the patient level. If the patient cannot afford to perform the recommended daily testing intervals, all other determining factors and suggestions become moot.

  8. Recommendations and Requirements for GenCade Simluations

    Science.gov (United States)

    2014-08-01

    recommendations section explains specific capabilities like the regional contour and the Inlet Reservoir Model ( IRM ) and topics such as project work...Regional contour flag IRM Inlet Reservoir Model ISMOOTH Wave transformation contour smoothing window ISWBEG Beginning of seawall reach ISWEND...Reservoir Model ( IRM ) (Kraus 2000; Larson et al. 2003 and 2006) to describe sediment storage and transfer at inlets. The method is described in detail in

  9. Recommendations on ambulance cardiopulmonary resuscitation in basic life support systems.

    Science.gov (United States)

    Hock Ong, Marcus Eng; Shin, Sang Do; Sung, Soon Swee; Tanaka, Hideharu; Huei-Ming, Matthew; Song, Kyoung Jun; Nishiuchi, Tatsuya; Leong, Benjamin Sieu-Hon; Karim, Sarah Abdul; Lin, Chih-Hao; Ryoo, Hyun Wook; Ryu, Hyun Ho; Iwami, Taku; Kajino, Kentaro; Ko, Patrick Chow-In; Lee, Kyung Won; Sumetchotimaytha, Nathida; Swor, Robert; Myers, Brent; Mackey, Kevin; McNally, Bryan

    2013-01-01

    Cardiopulmonary resuscitation (CPR) during ambulance transport can be a safety risk for providers and can affect CPR quality. In many Asian countries with basic life support (BLS) systems, patients experiencing out-of-hospital cardiac arrest (OHCA) are routinely transported in ambulances in which CPR is performed. This paper aims to make recommendations on best practices for CPR during ambulance transport in BLS systems. A panel consisting of 20 experts (including 4 North Americans) in emergency medical services (EMS) and resuscitation science was selected, and met over two days. We performed a literature review and selected 33 candidate issues in five core areas. Using Delphi methodology, the issues were classified into dichotomous (yes/no), multiple choice, and ranking questions. Primary consensus between experts was reached when there was more than 70% agreement. Questions with 60-69% agreement were made more specific and were submitted for a second round of voting. The panel agreed upon 24 consensus statements with more than 70% agreement (2 rounds of voting). The recommendations cover the following: length of time on the scene; advanced airway at the scene; CPR prior to transport; rhythm analysis and defibrillation during transport; prehospital interventions; field termination of resuscitation (TOR); consent for TOR; destination hospital; transport protocol; number of staff members; restraint systems; mechanical CPR; turning off of the engine for rhythm analysis; alternative CPR; and feedback for CPR quality. Recommendations for CPR during ambulance transport were developed using the Delphi method. These recommendations should be validated in clinical settings.

  10. International Pediatric Otolaryngology Group (IPOG) consensus recommendations : Hearing loss in the pediatric patient

    NARCIS (Netherlands)

    Liming, Bryan J; Carter, John; Cheng, Alan; Choo, Daniel; Curotta, John; Carvalho, Daniela; Germiller, John A; Hone, Stephen; Kenna, Margaret A; Loundon, Natalie; Preciado, Diego; Schilder, Anne; Reilly, Brian J; Roman, Stephane; Strychowsky, Julie; Triglia, Jean-Michel; Young, Nancy; Smith, Richard J H

    2016-01-01

    OBJECTIVE: To provide recommendations for the workup of hearing loss in the pediatric patient. METHODS: Expert opinion by the members of the International Pediatric Otolaryngology Group. RESULTS: Consensus recommendations include initial screening and diagnosis as well as the workup of sensorineural

  11. Ada training evaluation and recommendations from the Gamma Ray Observatory Ada Development Team

    Science.gov (United States)

    1985-01-01

    The Ada training experiences of the Gamma Ray Observatory Ada development team are related, and recommendations are made concerning future Ada training for software developers. Training methods are evaluated, deficiencies in the training program are noted, and a recommended approach, including course outline, time allocation, and reference materials, is offered.

  12. Recommendations for CSF AD biomarkers in the diagnostic evaluation of dementia

    DEFF Research Database (Denmark)

    Simonsen, Anja Hviid; Herukka, Sanna-Kaisa; Andreasen, Niels

    2017-01-01

    This article presents recommendations, based on the Grading of Recommendations, Assessment, Development, and Evaluation method, for the clinical application of cerebrospinal fluid (CSF) amyloid-β1-42, tau, and phosphorylated tau in the diagnostic evaluation of patients with dementia. The recommen...

  13. Recommending randomized trials for pediatric leukemia: observer and physician report of recommendations.

    Science.gov (United States)

    Hazen, Rebecca; Greenley, Rachel Neff; Drotar, Dennis; Kodish, Eric

    2007-06-01

    Physicians' presentation of treatment options in a non-coercive manner is critical for informed consent for participation in randomized clinical trials (RCTs). This study examined discrepancies between observer and physician report of treatment recommendations for pediatric leukemia RCTs. This study also assessed relationships between recommendations and decisions to participate in RCTs. Participants were 104 parents of children with leukemia and the treating physicians. Measures included observations of informed consent conferences (ICCs), physician report of treatment recommendations, and parent report of trial participation. Observation revealed that physicians recommended RCTs in 38% of ICCs, while physicians reported recommending RCTs in 73% of ICCs. Treatment recommendations were unrelated to decisions to participate in RCTs. Results highlight the importance of enhancing parent-physician communication regarding RCT participation.

  14. Heterogeneity of Rabies Vaccination Recommendations across Asia

    Directory of Open Access Journals (Sweden)

    Philippe Buchy

    2017-07-01

    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.

  15. Growing Wikipedia Across Languages via Recommendation

    Science.gov (United States)

    Wulczyn, Ellery; West, Robert; Zia, Leila; Leskovec, Jure

    2016-01-01

    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.

  16. [The latest in paediatric resuscitation recommendations].

    Science.gov (United States)

    López-Herce, Jesús; Rodríguez, Antonio; Carrillo, Angel; de Lucas, Nieves; Calvo, Custodio; Civantos, Eva; Suárez, Eva; Pons, Sara; Manrique, Ignacio

    2017-04-01

    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.

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

    Directory of Open Access Journals (Sweden)

    Zhijun Zhang

    2016-01-01

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

  18. Tag-Aware Recommender Systems: A State-of-the-art Survey

    CERN Document Server

    Zhang, Zi-Ke; Zhang, Yi-Cheng; 10.1007/s11390-011-0176-1

    2012-01-01

    In the past decade, Social Tagging Systems have attracted increasing attention from both physical and computer science communities. Besides the underlying structure and dynamics of tagging systems, many efforts have been addressed to unify tagging information to reveal user behaviors and preferences, extract the latent semantic relations among items, make recommendations, and so on. Specifically, this article summarizes recent progress about tag-aware recommender systems, emphasizing on the contributions from three mainstream perspectives and approaches: network-based methods, tensor-based methods, and the topic-based methods. Finally, we outline some other tag-related works and future challenges of tag-aware recommendation algorithms.

  19. Recommender systems and the social web leveraging tagging data for recommender systems

    CERN Document Server

    Gedikli, Fatih

    2013-01-01

    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

  20. Algorithms for Academic Search and Recommendation Systems

    DEFF Research Database (Denmark)

    Amolochitis, Emmanouil

    2014-01-01

    In this work we present novel algorithms for academic search, recommendation and association rules mining. In the first part of the work we introduce a novel hierarchical heuristic scheme for re-ranking academic publications. The scheme is based on the hierarchical combination of a custom...... are part of a developed Movie Recommendation system, the first such system to be commercially deployed in Greece by a major Triple Play services provider. In the third part of the work we present the design of a quantitative association rule mining algorithm. The introduced mining algorithm processes...... a specific number of user histories in order to generate a set of association rules with a minimally required support and confidence value. We have introduced a post processor that uses the generated association rules and improves the quality (in terms of recall) of the original recommendation functionality....

  1. A Personalized System for Conversational Recommendations

    CERN Document Server

    Goker, M H; Thompson, C A; 10.1613/jair.1318

    2011-01-01

    Searching for and making decisions about information is becoming increasingly difficult as the amount of information and number of choices increases. Recommendation systems help users find items of interest of a particular type, such as movies or restaurants, but are still somewhat awkward to use. Our solution is to take advantage of the complementary strengths of personalized recommendation systems and dialogue systems, creating personalized aides. We present a system -- the Adaptive Place Advisor -- that treats item selection as an interactive, conversational process, with the program inquiring about item attributes and the user responding. Individual, long-term user preferences are unobtrusively obtained in the course of normal recommendation dialogues and used to direct future conversations with the same user. We present a novel user model that influences both item search and the questions asked during a conversation. We demonstrate the effectiveness of our system in significantly reducing the time and nu...

  2. The process of setting micronutrient recommendations

    DEFF Research Database (Denmark)

    Timotijevic, Lada; Barnett, Julie; Brown, Kerry

    2011-01-01

    Objective: To examine the workings of the nutrition-related scientific advisory bodies in Europe, paying particular attention to the internal and external contexts within which they operate. Design: Desk research based on two data collection strategies: a questionnaire completed by key informants...... Republic and Hungary. Results: Varied bodies are responsible for setting micronutrient recommendations, each with different statutory and legal models of operation. Transparency is highest where there are standing scientific advisory committees (SAC). Where the standing SAC is created, the range...... of a problem area to consider, lack of openness and transparency in the decisions and over-reliance on international recommendations. Conclusions: Even when there is consensus about the science behind micronutrient recommendations, there is a range of other influences that will affect decisions about...

  3. Purging of untrustworthy recommendations from a grid

    CERN Document Server

    Kumar, P Suresh; Ramachandram, S

    2012-01-01

    In grid computing, trust has massive significance. There is lot of research to propose various models in providing trusted resource sharing mechanisms. The trust is a belief or perception that various researchers have tried to correlate with some computational model. Trust on any entity can be direct or indirect. Direct trust is the impact of either first impression over the entity or acquired during some direct interaction. Indirect trust is the trust may be due to either reputation gained or recommendations received from various recommenders of a particular domain in a grid or any other domain outside that grid or outside that grid itself. Unfortunately, malicious indirect trust leads to the misuse of valuable resources of the grid. This paper proposes the mechanism of identifying and purging the untrustworthy recommendations in the grid environment. Through the obtained results, we show the way of purging of untrustworthy entities.

  4. An Improved Recommendation Algorithm in Knowledge Network

    Directory of Open Access Journals (Sweden)

    Huiqing Niu

    2013-06-01

    Full Text Available Knowledge sharing is an essential characteristic of knowledge network and knowledge recommendation is a good way to improve the quality of shared knowledge. To investigate more efficient knowledge recommendation algorithm, knowledge potential energy rank and interest measure of knowledge were added in the association rules. Augmentation and quantization of the two parameters is the most important innovation of the paper. There were three modules in the algorithm-mining knowledge association rules, recommending related knowledge and modifying knowledge rank. Examination process provided by coal-wz.com was used to verify the proposed approach. The results showed that the proposed approach not only is able to extract the rules more efficient and much faster, but also can discover association rules more accurate in the context of knowledge management in knowledge network.

  5. Revealing Hidden Connections in Recommendation Networks

    CERN Document Server

    Minhano, Rogerio; Kamienski, Carlos

    2016-01-01

    Companies have been increasingly seeking new mechanisms for making their electronic marketing campaigns to become viral, thus obtaining a cascading recommendation effect similar to word-of-mouth. We analysed a dataset of a magazine publisher that uses email as the main marketing strategy and found out that networks emerging from those campaigns form a very sparse graph. We show that online social networks can be effectively used as a means to expand recommendation networks. Starting from a set of users, called seeders, we crawled Google's Orkut and collected about 20 million users and 80 million relationships. Next, we extended the original recommendation network by adding new edges using Orkut relationships that built a much denser network. Therefore, we advocate that online social networks are much more effective than email-based marketing campaigns

  6. Supplements in pregnancy: the latest recommendations

    Science.gov (United States)

    Martínez García, Rosa María

    2016-07-12

    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.

  7. Redundant correlation effect on personalized recommendation

    Science.gov (United States)

    Qiu, Tian; Han, Teng-Yue; Zhong, Li-Xin; Zhang, Zi-Ke; Chen, Guang

    2014-02-01

    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.

  8. Consensus recommendations on rater training and certification.

    Science.gov (United States)

    West, Mark D; Daniel, David G; Opler, Mark; Wise-Rankovic, Alexandria; Kalali, Amir

    2014-01-01

    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.

  9. Comparação na avaliação microbiológica de dois desinfetantes de uso doméstico no Brasil pelos métodos recomendados pela AOAC e ECN | Comparing the microbiological evaluation of two domestic-use disinfectants in Brazil by AOAC and ECN recommended methods

    Directory of Open Access Journals (Sweden)

    Rodrigo Rollin Pinheiro

    2015-08-01

    application of other methodologies, such as those recommended by European Committee of Normalization (ECN. The present study aimed to establish the application of ECN methodologies for assessment of general use disinfectants. The use–dilution (UD method recommended by the Association of Official Analytical Chemists (AOAC and the European Standard 1276 from ECN were performed in parallel, and the anti-microbial actions of two quaternary ammonium compounds (products A and B and 70% ethanol solution were compared using reference microorganisms and two strains isolated from household environments. According to the UD method, all products were effective, except that product B was ineffective against Staphylococcus aureus and gave non-reproducible results. The ECN method indicated that all products were effective, except that product A produced inadequate neutralization of S. aureus. Although the ECN method showed efficacy and applicability to the Brazilian routine, assays with greater number of products are required.

  10. Study Partners Recommendation for xMOOCs learners.

    Science.gov (United States)

    Xu, Bin; Yang, Dan

    2015-01-01

    Massive open online courses (MOOCs) provide an opportunity for people to access free courses offered by top universities in the world and therefore attracted great attention and engagement from college teachers and students. However, with contrast to large scale enrollment, the completion rate of these courses is really low. One of the reasons for students to quit learning process is problems which they face that could not be solved by discussing them with classmates. In order to keep them staying in the course, thereby further improving the completion rate, we address the task of study partner recommendation for students based on both content information and social network information. By analyzing the content of messages posted by learners in course discussion forum, we investigated the learners' behavior features to classify the learners into three groups. Then we proposed a topic model to measure learners' course knowledge awareness. Finally, a social network was constructed based on their activities in the course forum, and the relationship in the network was then employed to recommend study partners for target learner combined with their behavior features and course knowledge awareness. The experiment results show that our method achieves better performance than recommending method only based on content information.

  11. Recommendation strategies for e-learning: preliminary effects of a personal recommender system for lifelong learners

    NARCIS (Netherlands)

    Drachsler, Hendrik; Hummel, Hans; Van den Berg, Bert; Eshuis, Jannes; Berlanga, Adriana; Nadolski, Rob; Waterink, Wim; Boers, Nanda; Koper, Rob

    2007-01-01

    Drachsler, H., Hummel, H. G. K., Van den Berg, B., Eshuis, J., Berlanga, A. J., Nadolski, R. J., Waterink, W., Boers, N., & Koper, R. (2007). Recommendation strategies for e-learning: preliminary effects of personal recommender system for lifelong learners. Unpublished manuscript.

  12. General recommendations on immunization: recommendations of the Advisory Committee on Immunization Practices (ACIP).

    Science.gov (United States)

    Kroger, Andrew T; Atkinson, William L; Marcuse, Edgar K; Pickering, Larry K

    2006-12-01

    This report is a revision of General Recommendations on Immunization and updates the 2002 statement by the Advisory Committee on Immunization Practices (ACIP) (CDC. General recommendations on immunization: recommendations of the Advisory Committee on Immunization Practices and the American Academy of Family Physicians. MMWR 2002;51[No. RR-2]). This report is intended to serve as a general reference on vaccines and immunization. The principal changes include 1) expansion of the discussion of vaccination spacing and timing; 2) an increased emphasis on the importance of injection technique/age/body mass in determining appropriate needle length; 3) expansion of the discussion of storage and handling of vaccines, with a table defining the appropriate storage temperature range for inactivated and live vaccines; 4) expansion of the discussion of altered immunocompetence, including new recommendations about use of live-attenuated vaccines with therapeutic monoclonal antibodies; and 5) minor changes to the recommendations about vaccination during pregnancy and vaccination of internationally adopted children, in accordance with new ACIP vaccine-specific recommendations for use of inactivated influenza vaccine and hepatitis B vaccine. The most recent ACIP recommendations for each specific vaccine should be consulted for comprehensive discussion. This report, ACIP recommendations for each vaccine, and other information about vaccination can be accessed at CDC's National Center for Immunization and Respiratory Diseases (proposed) (formerly known as the National Immunization Program) website at http//:www.cdc.gov/nip.

  13. Recommendations for learners are different: Applying memory-based recommender system techniques to lifelong learning

    NARCIS (Netherlands)

    Drachsler, Hendrik; Hummel, Hans; Koper, Rob

    2007-01-01

    Drachsler, H., Hummel, H. G. K., & Koper, R. (2007). Recommendations for learners are different: applying memory-based recommender system techniques to lifelong learning. Paper presented at the SIRTEL workshop at the EC-TEL 2007 Conference. September, 17-20, 2007, Crete, Greece.

  14. Exploiting Publication Contents and Collaboration Networks for Collaborator Recommendation.

    Directory of Open Access Journals (Sweden)

    Xiangjie Kong

    Full Text Available Thanks to the proliferation of online social networks, it has become conventional for researchers to communicate and collaborate with each other. Meanwhile, one critical challenge arises, that is, how to find the most relevant and potential collaborators for each researcher? In this work, we propose a novel collaborator recommendation model called CCRec, which combines the information on researchers' publications and collaboration network to generate better recommendation. In order to effectively identify the most potential collaborators for researchers, we adopt a topic clustering model to identify the academic domains, as well as a random walk model to compute researchers' feature vectors. Using DBLP datasets, we conduct benchmarking experiments to examine the performance of CCRec. The experimental results show that CCRec outperforms other state-of-the-art methods in terms of precision, recall and F1 score.

  15. Soft sensors in bioprocessing: A status report and recommendations

    DEFF Research Database (Denmark)

    Luttmann, Reiner; Bracewell, Daniel G.; Cornelissen, Gesine

    2012-01-01

    The following report with recommendations is the result of an expert panel meeting on soft sensor applications in bioprocess engineering that was organized by the Measurement, Monitoring, Modelling and Control (M3C) Working Group of the European Federation of Biotechnology - Section of Biochemical...... Engineering Science (ESBES). The aim of the panel was to provide an update on the present status of the subject and to identify critical needs and issues for the furthering of the successful development of soft sensor methods in bioprocess engineering research and for industrial applications, in particular...... with focus on biopharmaceutical applications. It concludes with a set of recommendations, which highlight current prospects for the extended use of soft sensors and those areas requiring development....

  16. Veteran teachers' use of recommended practices in deaf education.

    Science.gov (United States)

    Easterbrooks, Susan R; Stephenson, Brenda H; Gale, Elaine

    2009-01-01

    Deaf education teacher preparation programs face the likelihood that their graduates may not implement evidenced-based practices they were taught once they have graduated. The literature suggests that new teachers follow the school culture where they work rather than methods and strategies taught in their preparation programs. To investigate whether teachers of students who are deaf or hard of hearing (DHH) implement recommended practices, 23 teachers from three schools for the deaf were interviewed about their implementation and use of two recommended practices: independent reading and problem solving. The guiding questions were: Do teachers of students who are DHH use independent reading and problem solving after the enculturation process? If so, to what level? If not, can a review improve their level of use? Results demonstrated, at least regarding these two practices, that teachers of students who are DHH do implement evidence-based practices in their classrooms.

  17. Voyager: Exploratory Analysis via Faceted Browsing of Visualization Recommendations.

    Science.gov (United States)

    Wongsuphasawat, Kanit; Moritz, Dominik; Anand, Anushka; Mackinlay, Jock; Howe, Bill; Heer, Jeffrey

    2016-01-01

    General visualization tools typically require manual specification of views: analysts must select data variables and then choose which transformations and visual encodings to apply. These decisions often involve both domain and visualization design expertise, and may impose a tedious specification process that impedes exploration. In this paper, we seek to complement manual chart construction with interactive navigation of a gallery of automatically-generated visualizations. We contribute Voyager, a mixed-initiative system that supports faceted browsing of recommended charts chosen according to statistical and perceptual measures. We describe Voyager's architecture, motivating design principles, and methods for generating and interacting with visualization recommendations. In a study comparing Voyager to a manual visualization specification tool, we find that Voyager facilitates exploration of previously unseen data and leads to increased data variable coverage. We then distill design implications for visualization tools, in particular the need to balance rapid exploration and targeted question-answering.

  18. Topic Space: Rapid Prototyping a Mobile Augmented Reality Recommendation App

    Directory of Open Access Journals (Sweden)

    Jim Hahn

    2015-10-01

    Full Text Available With funding from an Institute of Museum and Library Services (IMLS Sparks! Ignition Grant, researchers from the University of Illinois Library designed and tested a mobile recommender app with augmented reality features. By embedding open source optical character recognition software into a “Topic Space” module, the augmented reality app can recognize call numbers on a book in the library and suggest relevant items that are not shelved nearby. Topic Space can also show users items that are normally shelved in the starting location but that are currently checked out. Using formative UX methods, grant staff shaped app interface and functionality through early user testing. This paper reports results of UX testing; a redesigned mobile interface, and provides considerations on the future development of personalized recommendation functionality.

  19. Ten recommendations for software engineering in research.

    Science.gov (United States)

    Hastings, Janna; Haug, Kenneth; Steinbeck, Christoph

    2014-01-01

    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.

  20. Insecticide Recommendations for Arkansas. MP 144.

    Science.gov (United States)

    Jones, Bill F.; Barnes, Gordon

    This publication gives, in chart form, insecticides for use on animals, field crops, fruits, flowers, trees and shrubs, household pests, recreation areas, lawn and turf grass, pecans, stored grain, and vegetables. Included in the charts are the insecticides recommended for each insect, formulation to be used, amount, time to apply, and other…