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. Rating Methods for Proactive Recommendation on Smartwatches

    OpenAIRE

    Janosch Maier, Wolfgang Wörndl

    2015-01-01

    This paper analyzes possible interaction methods for using a recommender system on a smartwatch. As prerequisite, we describe interaction patterns currently used by Android Wear applications. Based on a prototype implementation the interaction methods action buttons, two button card and swipes are compared against each other. In a user study, 31 participating students were asked to rate restaurant recommendations offered in the setting of a context-aware, proactive recommender system. For eac...

  3. 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.

  4. Data Mining Methods for Recommender Systems

    Science.gov (United States)

    Amatriain, Xavier; Jaimes*, Alejandro; Oliver, Nuria; Pujol, Josep M.

    In this chapter, we give an overview of the main Data Mining techniques used in the context of Recommender Systems. We first describe common preprocessing methods such as sampling or dimensionality reduction. Next, we review the most important classification techniques, including Bayesian Networks and Support Vector Machines. We describe the k-means clustering algorithm and discuss several alternatives. We also present association rules and related algorithms for an efficient training process. In addition to introducing these techniques, we survey their uses in Recommender Systems and present cases where they have been successfully applied.

  5. Therapy Decision Support Based on Recommender System Methods.

    Science.gov (United States)

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

    2017-01-01

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

  6. Therapy Decision Support Based on Recommender System Methods

    Directory of Open Access Journals (Sweden)

    Felix Gräßer

    2017-01-01

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

  7. A method for evaluating discoverability and navigability of recommendation algorithms.

    Science.gov (United States)

    Lamprecht, Daniel; Strohmaier, Markus; Helic, Denis

    2017-01-01

    Recommendations are increasingly used to support and enable discovery, browsing, and exploration of items. This is especially true for entertainment platforms such as Netflix or YouTube, where frequently, no clear categorization of items exists. Yet, the suitability of a recommendation algorithm to support these use cases cannot be comprehensively evaluated by any recommendation evaluation measures proposed so far. In this paper, we propose a method to expand the repertoire of existing recommendation evaluation techniques with a method to evaluate the discoverability and navigability of recommendation algorithms. The proposed method tackles this by means of first evaluating the discoverability of recommendation algorithms by investigating structural properties of the resulting recommender systems in terms of bow tie structure, and path lengths. Second, the method evaluates navigability by simulating three different models of information seeking scenarios and measuring the success rates. We show the feasibility of our method by applying it to four non-personalized recommendation algorithms on three data sets and also illustrate its applicability to personalized algorithms. Our work expands the arsenal of evaluation techniques for recommendation algorithms, extends from a one-click-based evaluation towards multi-click analysis, and presents a general, comprehensive method to evaluating navigability of arbitrary recommendation algorithms.

  8. 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.

  9. Recommender engine for continuous-time quantum Monte Carlo methods

    Science.gov (United States)

    Huang, Li; Yang, Yi-feng; Wang, Lei

    2017-03-01

    Recommender systems play an essential role in the modern business world. They recommend favorable items such as books, movies, and search queries to users based on their past preferences. Applying similar ideas and techniques to Monte Carlo simulations of physical systems boosts their efficiency without sacrificing accuracy. Exploiting the quantum to classical mapping inherent in the continuous-time quantum Monte Carlo methods, we construct a classical molecular gas model to reproduce the quantum distributions. We then utilize powerful molecular simulation techniques to propose efficient quantum Monte Carlo updates. The recommender engine approach provides a general way to speed up the quantum impurity solvers.

  10. Design methods and criteria recommended by the RAMSES committee

    International Nuclear Information System (INIS)

    Jakubowicz, H.; Moulin, D.; Petrequin, P.; Tortel, J.; Schaller, K.

    1980-09-01

    The design of structures of LMFBR in France must comply with the national regulations and takes into account the rules adopted by other countries but these rules need complements. The French Atomic Energy Commission has founded a committee named RAMSES (which states for 'Regles d'Analyse Mecanique des Structures') in order to write recommendations to give out the needed informations on design rules based on all the available background experience. The elastic follow up problem has received great attention and a recommendation was already printed. Of great concern in elevated temperature is a creep fatigue investigation. A creep fatigue design method adapted to materials used is being set up

  11. Social assessment methods recommendation report: Draft: Revision 1

    International Nuclear Information System (INIS)

    1986-05-01

    This report recommends an approach to the Salt Repository Project Office (SRPO) for assessing the social impacts of a high-level nuclear waste repository. The report establishes several criteria for selecting an approach and then describes and evaluates existing social assessment approaches against the selection criteria. Based upon these evaluations a recommendation is made. The proposed modifications include suggestions to strengthen the approach by including elements of other methods. Suggestions for the development of community surveys and local leader interviews are also made. 64 refs., 4 figs., 14 tabs

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

    Directory of Open Access Journals (Sweden)

    Solomia Andreş

    2015-06-01

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

  13. An effective news recommendation method for microblog user.

    Science.gov (United States)

    Gu, Wanrong; Dong, Shoubin; Zeng, Zhizhao; He, Jinchao

    2014-01-01

    Recommending news stories to users, based on their preferences, has long been a favourite domain for recommender systems research. Traditional systems strive to satisfy their user by tracing users' reading history and choosing the proper candidate news articles to recommend. However, most of news websites hardly require any user to register before reading news. Besides, the latent relations between news and microblog, the popularity of particular news, and the news organization are not addressed or solved efficiently in previous approaches. In order to solve these issues, we propose an effective personalized news recommendation method based on microblog user profile building and sub class popularity prediction, in which we propose a news organization method using hybrid classification and clustering, implement a sub class popularity prediction method, and construct user profile according to our actual situation. We had designed several experiments compared to the state-of-the-art approaches on a real world dataset, and the experimental results demonstrate that our system significantly improves the accuracy and diversity in mass text data.

  14. An Effective News Recommendation Method for Microblog User

    Directory of Open Access Journals (Sweden)

    Wanrong Gu

    2014-01-01

    Full Text Available Recommending news stories to users, based on their preferences, has long been a favourite domain for recommender systems research. Traditional systems strive to satisfy their user by tracing users' reading history and choosing the proper candidate news articles to recommend. However, most of news websites hardly require any user to register before reading news. Besides, the latent relations between news and microblog, the popularity of particular news, and the news organization are not addressed or solved efficiently in previous approaches. In order to solve these issues, we propose an effective personalized news recommendation method based on microblog user profile building and sub class popularity prediction, in which we propose a news organization method using hybrid classification and clustering, implement a sub class popularity prediction method, and construct user profile according to our actual situation. We had designed several experiments compared to the state-of-the-art approaches on a real world dataset, and the experimental results demonstrate that our system significantly improves the accuracy and diversity in mass text data.

  15. An Effective News Recommendation Method for Microblog User

    Science.gov (United States)

    Gu, Wanrong; Dong, Shoubin; Zeng, Zhizhao; He, Jinchao

    2014-01-01

    Recommending news stories to users, based on their preferences, has long been a favourite domain for recommender systems research. Traditional systems strive to satisfy their user by tracing users' reading history and choosing the proper candidate news articles to recommend. However, most of news websites hardly require any user to register before reading news. Besides, the latent relations between news and microblog, the popularity of particular news, and the news organization are not addressed or solved efficiently in previous approaches. In order to solve these issues, we propose an effective personalized news recommendation method based on microblog user profile building and sub class popularity prediction, in which we propose a news organization method using hybrid classification and clustering, implement a sub class popularity prediction method, and construct user profile according to our actual situation. We had designed several experiments compared to the state-of-the-art approaches on a real world dataset, and the experimental results demonstrate that our system significantly improves the accuracy and diversity in mass text data. PMID:24983011

  16. Models and methods for building web recommendation systems

    OpenAIRE

    Stekh, Yu.; Artsibasov, V.

    2012-01-01

    Modern Word Wide Web contains a large number of Web sites and pages in each Web site. Web recommendation system (recommendation system for web pages) are typically implemented on web servers and use the data obtained from the collection viewed web templates (implicit data) or user registration data (explicit data). In article considering methods and algorithms of web recommendation system based on the technology of data mining (web mining). Сучасна мережа Інтернет містить велику кількість веб...

  17. 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.

  18. 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.

  19. Social assessment methods recommendation report: Draft, May 1986

    International Nuclear Information System (INIS)

    1986-11-01

    These recommendations reflect the Peer Review Panel positions on each issue. The recommendations were developed following a day-long discussion held by the Review Panel. These recommendations were reviewed by each Panelist. Significant disagreements within the Panel are noted, and, of course, not all members shared identical perspectives on each issue. The order in which these recommendations are listed and discussed also reflects a general prioritizing by the Panel, although the Panel also agrees that all recommendations included here are of major importance to the project

  20. Demonstration recommendations for accelerated testing of concrete decontamination methods

    Energy Technology Data Exchange (ETDEWEB)

    Dickerson, K.S.; Ally, M.R.; Brown, C.H.; Morris, M.I.; Wilson-Nichols, M.J.

    1995-12-01

    A large number of aging US Department of Energy (DOE) surplus facilities located throughout the US require deactivation, decontamination, and decommissioning. Although several technologies are available commercially for concrete decontamination, emerging technologies with potential to reduce secondary waste and minimize the impact and risk to workers and the environment are needed. In response to these needs, the Accelerated Testing of Concrete Decontamination Methods project team described the nature and extent of contaminated concrete within the DOE complex and identified applicable emerging technologies. Existing information used to describe the nature and extent of contaminated concrete indicates that the most frequently occurring radiological contaminants are {sup 137}Cs, {sup 238}U (and its daughters), {sup 60}Co, {sup 90}Sr, and tritium. The total area of radionuclide-contaminated concrete within the DOE complex is estimated to be in the range of 7.9 {times} 10{sup 8} ft{sup 2}or approximately 18,000 acres. Concrete decontamination problems were matched with emerging technologies to recommend demonstrations considered to provide the most benefit to decontamination of concrete within the DOE complex. Emerging technologies with the most potential benefit were biological decontamination, electro-hydraulic scabbling, electrokinetics, and microwave scabbling.

  1. Demonstration recommendations for accelerated testing of concrete decontamination methods

    International Nuclear Information System (INIS)

    Dickerson, K.S.; Ally, M.R.; Brown, C.H.; Morris, M.I.; Wilson-Nichols, M.J.

    1995-12-01

    A large number of aging US Department of Energy (DOE) surplus facilities located throughout the US require deactivation, decontamination, and decommissioning. Although several technologies are available commercially for concrete decontamination, emerging technologies with potential to reduce secondary waste and minimize the impact and risk to workers and the environment are needed. In response to these needs, the Accelerated Testing of Concrete Decontamination Methods project team described the nature and extent of contaminated concrete within the DOE complex and identified applicable emerging technologies. Existing information used to describe the nature and extent of contaminated concrete indicates that the most frequently occurring radiological contaminants are 137 Cs, 238 U (and its daughters), 60 Co, 90 Sr, and tritium. The total area of radionuclide-contaminated concrete within the DOE complex is estimated to be in the range of 7.9 x 10 8 ft 2 or approximately 18,000 acres. Concrete decontamination problems were matched with emerging technologies to recommend demonstrations considered to provide the most benefit to decontamination of concrete within the DOE complex. Emerging technologies with the most potential benefit were biological decontamination, electro-hydraulic scabbling, electrokinetics, and microwave scabbling

  2. Methodic recommendations on ultrasonic testing of pipeline austenitic butt joints

    International Nuclear Information System (INIS)

    Grebennik, V.S.; Lantukh, V.M.; Tajts, M.Z.; Ermolov, I.N.; Volkov, A.S.; Vyatskov, I.A.; Kesler, N.A.; Shchedrin, I.F.

    1989-01-01

    Recommendations for the application of ultrasonic testing of austenitic welded joints of the Du 500 pipelines with the walls 32-34 mm thick made of steel Kh18N10T are developed. The optimal values of the main parameters of ultrasonic testing are determined experimentally. Principles of calculation of the optimal parameters are considered. 1 ref.; 4 figs

  3. Evaluation of Neighbourhood Selection Methods in Decentralized Recommendation Systems

    NARCIS (Netherlands)

    M. Clements (Maarten); A.P. de Vries (Arjen); J.A. Pouwelse; J. Wang (Jun); M.J.T. Reinders

    2007-01-01

    textabstractRecommendation 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

  4. Indirect methods for reference interval determination - review and recommendations.

    Science.gov (United States)

    Jones, Graham R D; Haeckel, Rainer; Loh, Tze Ping; Sikaris, Ken; Streichert, Thomas; Katayev, Alex; Barth, Julian H; Ozarda, Yesim

    2018-04-19

    Reference intervals are a vital part of the information supplied by clinical laboratories to support interpretation of numerical pathology results such as are produced in clinical chemistry and hematology laboratories. The traditional method for establishing reference intervals, known as the direct approach, is based on collecting samples from members of a preselected reference population, making the measurements and then determining the intervals. An alternative approach is to perform analysis of results generated as part of routine pathology testing and using appropriate statistical techniques to determine reference intervals. This is known as the indirect approach. This paper from a working group of the International Federation of Clinical Chemistry (IFCC) Committee on Reference Intervals and Decision Limits (C-RIDL) aims to summarize current thinking on indirect approaches to reference intervals. The indirect approach has some major potential advantages compared with direct methods. The processes are faster, cheaper and do not involve patient inconvenience, discomfort or the risks associated with generating new patient health information. Indirect methods also use the same preanalytical and analytical techniques used for patient management and can provide very large numbers for assessment. Limitations to the indirect methods include possible effects of diseased subpopulations on the derived interval. The IFCC C-RIDL aims to encourage the use of indirect methods to establish and verify reference intervals, to promote publication of such intervals with clear explanation of the process used and also to support the development of improved statistical techniques for these studies.

  5. Methodical recommendations for power unit comprehensive engineering and radiation survey

    International Nuclear Information System (INIS)

    Nosovskij, A.V.

    2000-01-01

    The article describes power unit radiation survey methods developed and applied during conduction of Ch NPP unit I Comprehensive Engineering Radiation Survey. Special requirements for units under decommissioning, main survey principals, criteria for definition of volume and the order of survey for various systems of a NPP Unit are included

  6. Each to his own: how different users call for different interaction methods in recommender systems

    NARCIS (Netherlands)

    Knijnenburg, B.P.; Reijmer, N.J.M.; Willemsen, M.C.; Mobasher, B.; Burke, R.

    2011-01-01

    This paper compares five different ways of interacting with an attribute-based recommender system and shows that different types of users prefer different interaction methods. In an online experiment with an energy-saving recommender system the interaction methods are compared in terms of perceived

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

    Directory of Open Access Journals (Sweden)

    Qingzhen Xu

    2014-01-01

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

  8. Understanding the effect of adaptive preference elicitation methods on user satisfaction of a recommender system

    NARCIS (Netherlands)

    Knijnenburg, B.P.; Willemsen, M.C.

    2009-01-01

    In a recommender system that suggests options based on user attribute weights, the method of preference elicitation (PE) employed by a recommender system can influence users' satisfaction with the system, as well as the perceived usefulness and the understandability of the system. Specifically, we

  9. The effect of preference elicitation methods on the user experience of a recommender system

    NARCIS (Netherlands)

    Knijnenburg, B.P.; Willemsen, M.C.

    2010-01-01

    To increase the user experience, preference elicitation methods used by recommender systems can be adapted to individual differences such as the level of expertise. However, we will show that the satisfaction and perceived usefulness of a recommender system also depends strongly on subtle variations

  10. Multidisciplinary convalescence recommendations after gynaecological surgery: a modified Delphi method among experts

    NARCIS (Netherlands)

    Vonk Noordegraaf, A.; Huirne, J.A.F.; Brölmann, H.A.M.; van Mechelen, W.; Anema, J.R.

    2011-01-01

    Objective: To generate structured detailed uniform convalescence recommendations after gynaecological surgery by a modified Delphi method amongst experts and a representative group of physicians. Design: Modified Delphi study. Setting: Expert physicians recruited by their respective medical boards

  11. 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...

  12. 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.

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

    Science.gov (United States)

    van Vliet, Daphne C R; van der Meij, Eva; Bouwsma, Esther V A; Vonk Noordegraaf, Antonie; van den Heuvel, Baukje; Meijerink, Wilhelmus J H J; van Baal, W Marchien; Huirne, Judith A F; Anema, Johannes R

    2016-12-01

    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, needlessly delayed recovery and prolonged sick leave. The aim of this study was to generate consensus-based multidisciplinary convalescence recommendations, including advice on return to work, applicable for both patients and physicians. Using a modified Delphi method among a multidisciplinary panel of 13 experts consisting of surgeons, occupational physicians and general practitioners, detailed recommendations were developed for graded resumption of 34 activities after uncomplicated laparoscopic cholecystectomy, laparoscopic and open appendectomy, laparoscopic and open colectomy and laparoscopic and open inguinal hernia repair. A sample of occupational physicians, general practitioners and surgeons assessed the recommendations on feasibility in daily practice. The response of this group of care providers was discussed with the experts in the final Delphi questionnaire round. Out of initially 56 activities, the expert panel selected 34 relevant activities for which convalescence recommendations were developed. After four Delphi rounds, consensus was reached for all of the 34 activities for all the surgical procedures. A sample of occupational physicians, general practitioners and surgeons regarded the recommendations as feasible in daily practice. Multidisciplinary convalescence recommendations regarding uncomplicated laparoscopic cholecystectomy, appendectomy (laparoscopic, open), colectomy (laparoscopic, open) and inguinal hernia repair (laparoscopic, open) were developed by a modified Delphi procedure. Further research is required to evaluate whether these recommendations are realistic and effective in daily practice.

  14. Youth injury prevention in Canada: use of the Delphi method to develop recommendations.

    Science.gov (United States)

    Pike, Ian; Piedt, Shannon; Davison, Colleen M; Russell, Kelly; Macpherson, Alison K; Pickett, William

    2015-12-22

    The Health Behaviour in School-aged Children Survey is one of very few cross-national health surveys that includes information on injury occurrence and prevention within adolescent populations. A collaboration to develop a Canadian youth injury report using these data resulted in, Injury among Young Canadians: A national study of contextual determinants. The objective of this study was to develop specific evidence-based, policy-oriented recommendations arising from the national report, using a modified-Delphi process with a panel of expert stakeholders. Eight injury prevention experts and a 3-person youth advisory team associated with a Canadian injury prevention organization (Parachute Canada) reviewed, edited and commented on report recommendations through a three-stage iterative modified-Delphi process. From an initial list of 27 draft recommendations, the modified-Delphi process resulted in a final list of 19 specific recommendations, worded to resonate with the group(s) responsible to lead or take the recommended action. Two recommendations were rated as "extremely important" or "very important" by 100 % of the expert panel, two were deleted, a further two recommendations were deleted but the content included as text in the report, and four were merged with other existing recommendations. The modified-Delphi process was an appropriate method to achieve agreement on 19 specific evidence-based, policy-oriented recommendations to complement the national youth injury report. In providing their input, it is noted that the injury stakeholders each acted as individual experts, unattached to any organizational position or policy. These recommendations will require multidisciplinary collaborations in order to support the proposed policy development, additional research, programming and clear decision-making for youth injury prevention.

  15. 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…

  16. 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.

  17. The Physician Recommendation Coding System (PhyReCS): A Reliable and Valid Method to Quantify the Strength of Physician Recommendations During Clinical Encounters.

    Science.gov (United States)

    Scherr, Karen A; Fagerlin, Angela; Williamson, Lillie D; Davis, J Kelly; Fridman, Ilona; Atyeo, Natalie; Ubel, Peter A

    2017-01-01

    Physicians' recommendations affect patients' treatment choices. However, most research relies on physicians' or patients' retrospective reports of recommendations, which offer a limited perspective and have limitations such as recall bias. To develop a reliable and valid method to measure the strength of physician recommendations using direct observation of clinical encounters. Clinical encounters (n = 257) were recorded as part of a larger study of prostate cancer decision making. We used an iterative process to create the 5-point Physician Recommendation Coding System (PhyReCS). To determine reliability, research assistants double-coded 50 transcripts. To establish content validity, we used 1-way analyses of variance to determine whether relative treatment recommendation scores differed as a function of which treatment patients received. To establish concurrent validity, we examined whether patients' perceived treatment recommendations matched our coded recommendations. The PhyReCS was highly reliable (Krippendorf's alpha = 0.89, 95% CI [0.86, 0.91]). The average relative treatment recommendation score for each treatment was higher for individuals who received that particular treatment. For example, the average relative surgery recommendation score was higher for individuals who received surgery versus radiation (mean difference = 0.98, SE = 0.18, P recommendations matched coded recommendations 81% of the time. The PhyReCS is a reliable and valid way to capture the strength of physician recommendations. We believe that the PhyReCS would be helpful for other researchers who wish to study physician recommendations, an important part of patient decision making. © The Author(s) 2016.

  18. Common method biases in behavioral research: a critical review of the literature and recommended remedies.

    Science.gov (United States)

    Podsakoff, Philip M; MacKenzie, Scott B; Lee, Jeong-Yeon; Podsakoff, Nathan P

    2003-10-01

    Interest in the problem of method biases has a long history in the behavioral sciences. Despite this, a comprehensive summary of the potential sources of method biases and how to control for them does not exist. Therefore, the purpose of this article is to examine the extent to which method biases influence behavioral research results, identify potential sources of method biases, discuss the cognitive processes through which method biases influence responses to measures, evaluate the many different procedural and statistical techniques that can be used to control method biases, and provide recommendations for how to select appropriate procedural and statistical remedies for different types of research settings.

  19. 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.

  20. Test methods for on site measurement of resistivity of concrete. A RILEM TC-154 Technical Recommendation

    NARCIS (Netherlands)

    Polder, R.B.

    2000-01-01

    This paper describes methods to assess concrete resistivity on site for various purposes related to corrosion and protection of reinforcement. It is based on a first draft of a RILEM Technical Recommendation. The electrical resistivity of concrete can be related to the two processes involved in

  1. Recommended methods for monitoring change in bird populations by counting and capture of migrants

    Science.gov (United States)

    David J. T. Hussell; C. John Ralph

    2005-01-01

    Counts and banding captures of spring or fall migrants can generate useful information on the status and trends of the source populations. To do so, the counts and captures must be taken and recorded in a standardized and consistent manner. We present recommendations for field methods for counting and capturing migrants at intensively operated sites, such as bird...

  2. Learning to Recommend Point-of-Interest with the Weighted Bayesian Personalized Ranking Method in LBSNs

    OpenAIRE

    Lei Guo; Haoran Jiang; Xinhua Wang; Fangai Liu

    2017-01-01

    Point-of-interest (POI) recommendation has been well studied in recent years. However, most of the existing methods focus on the recommendation scenarios where users can provide explicit feedback. In most cases, however, the feedback is not explicit, but implicit. For example, we can only get a user’s check-in behaviors from the history of what POIs she/he has visited, but never know how much she/he likes and why she/he does not like them. Recently, some researchers have noticed this problem ...

  3. 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.

  4. 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

  5. a Context-Aware Tourism Recommender System Based on a Spreading Activation Method

    Science.gov (United States)

    Bahramian, Z.; Abbaspour, R. Ali; Claramunt, C.

    2017-09-01

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

  6. 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.

  7. Recommendations for a trans-European dietary assessment method in children between 4 and 14 years

    DEFF Research Database (Denmark)

    Andersen, L. F.; Lioret, S.; Brants, H.

    2011-01-01

    Background/Objectives: The main objective of European Food Consumption Validation (EFCOVAL)-child Project is to define and evaluate a trans-European methodology for undertaking national representative dietary surveys among children in the age group of 4-14 years. In the process of identifying...... was to investigate whether the method (two non-consecutive 24-h dietary recalls (24-HDRs)) suggested for the adults in European Food Consumption Survey Method (EFCOSUM) would be usable for children in the age group between 4 and 14 years. However, all available dietary assessment methods were included...... of 4-14 years. Nevertheless, on the basis of the literature, the recommendations were separated for preschoolers (4-6 years) and schoolchildren (7-14 years). Conclusion: For preschoolers, two non-consecutive days of a structured food record are recommended, using a (for children adapted) picture...

  8. 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.

  9. 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.

  10. 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.

  11. Learning to Recommend Point-of-Interest with the Weighted Bayesian Personalized Ranking Method in LBSNs

    Directory of Open Access Journals (Sweden)

    Lei Guo

    2017-02-01

    Full Text Available Point-of-interest (POI recommendation has been well studied in recent years. However, most of the existing methods focus on the recommendation scenarios where users can provide explicit feedback. In most cases, however, the feedback is not explicit, but implicit. For example, we can only get a user’s check-in behaviors from the history of what POIs she/he has visited, but never know how much she/he likes and why she/he does not like them. Recently, some researchers have noticed this problem and began to learn the user preferences from the partial order of POIs. However, these works give equal weight to each POI pair and cannot distinguish the contributions from different POI pairs. Intuitively, for the two POIs in a POI pair, the larger the frequency difference of being visited and the farther the geographical distance between them, the higher the contribution of this POI pair to the ranking function. Based on the above observations, we propose a weighted ranking method for POI recommendation. Specifically, we first introduce a Bayesian personalized ranking criterion designed for implicit feedback to POI recommendation. To fully utilize the partial order of POIs, we then treat the cost function in a weighted way, that is give each POI pair a different weight according to their frequency of being visited and the geographical distance between them. Data analysis and experimental results on two real-world datasets demonstrate the existence of user preference on different POI pairs and the effectiveness of our weighted ranking method.

  12. CodeRAnts: A recommendation method based on collaborative searching and ant colonies, applied to reusing of open source code

    Directory of Open Access Journals (Sweden)

    Isaac Caicedo-Castro

    2014-01-01

    Full Text Available This paper presents CodeRAnts, a new recommendation method based on a collaborative searching technique and inspired on the ant colony metaphor. This method aims to fill the gap in the current state of the matter regarding recommender systems for software reuse, for which prior works present two problems. The first is that, recommender systems based on these works cannot learn from the collaboration of programmers and second, outcomes of assessments carried out on these systems present low precision measures and recall and in some of these systems, these metrics have not been evaluated. The work presented in this paper contributes a recommendation method, which solves these problems.

  13. A fast combination method in DSmT and its application to recommender system.

    Science.gov (United States)

    Dong, Yilin; Li, Xinde; Liu, Yihai

    2018-01-01

    In many applications involving epistemic uncertainties usually modeled by belief functions, it is often necessary to approximate general (non-Bayesian) basic belief assignments (BBAs) to subjective probabilities (called Bayesian BBAs). This necessity occurs if one needs to embed the fusion result in a system based on the probabilistic framework and Bayesian inference (e.g. tracking systems), or if one needs to make a decision in the decision making problems. In this paper, we present a new fast combination method, called modified rigid coarsening (MRC), to obtain the final Bayesian BBAs based on hierarchical decomposition (coarsening) of the frame of discernment. Regarding this method, focal elements with probabilities are coarsened efficiently to reduce computational complexity in the process of combination by using disagreement vector and a simple dichotomous approach. In order to prove the practicality of our approach, this new approach is applied to combine users' soft preferences in recommender systems (RSs). Additionally, in order to make a comprehensive performance comparison, the proportional conflict redistribution rule #6 (PCR6) is regarded as a baseline in a range of experiments. According to the results of experiments, MRC is more effective in accuracy of recommendations compared to original Rigid Coarsening (RC) method and comparable in computational time.

  14. A fast combination method in DSmT and its application to recommender system.

    Directory of Open Access Journals (Sweden)

    Yilin Dong

    Full Text Available In many applications involving epistemic uncertainties usually modeled by belief functions, it is often necessary to approximate general (non-Bayesian basic belief assignments (BBAs to subjective probabilities (called Bayesian BBAs. This necessity occurs if one needs to embed the fusion result in a system based on the probabilistic framework and Bayesian inference (e.g. tracking systems, or if one needs to make a decision in the decision making problems. In this paper, we present a new fast combination method, called modified rigid coarsening (MRC, to obtain the final Bayesian BBAs based on hierarchical decomposition (coarsening of the frame of discernment. Regarding this method, focal elements with probabilities are coarsened efficiently to reduce computational complexity in the process of combination by using disagreement vector and a simple dichotomous approach. In order to prove the practicality of our approach, this new approach is applied to combine users' soft preferences in recommender systems (RSs. Additionally, in order to make a comprehensive performance comparison, the proportional conflict redistribution rule #6 (PCR6 is regarded as a baseline in a range of experiments. According to the results of experiments, MRC is more effective in accuracy of recommendations compared to original Rigid Coarsening (RC method and comparable in computational time.

  15. 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.

  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. 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

  18. A Context Aware Recommender System for Mobile Phone Selection Using Combination of Elimination Method and Analytic Hierarchy Processing

    Directory of Open Access Journals (Sweden)

    Jalal Rezaeenour

    2017-09-01

    Full Text Available Recommender systems suggest proper items to customers based on their preferences and needs. Needed time to search is reduced and the quality of customer’s choice is increased using recommender systems. The context information like time, location and user behaviors can enhance the quality of recommendations and customer satisfication in such systems. In this paper a context aware recommender system is designed and implemented in android smart phones to help customers select mobile phones. The system removes ineffective criteria on user’s purcheses using customer mobile phones’ sensor data. Then creates analytic hierarchy processing tree and computes weights. Finally the recommender system recommends proper mobile phone to user. The system selects and recommends suitable phones using combination of elimination method and analytic hierarchy processing (AHP. The context aware recommender system is used by mobile phone customers to assess recomendation satisfication and user interface design satisfication. In addition a traditional non-context aware recommender system is used by users to compare the recommendation results in two different systems. The article concludes that using context information can improve the recommendation quality and user satisfication. Because of decreasing criteria and pair-wised comparisions, the user interface design satisfication improves a little too.

  19. 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.

  20. 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.

  1. 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.

  2. Fashion Evaluation Method for Clothing Recommendation Based on Weak Appearance Feature

    Directory of Open Access Journals (Sweden)

    Yan Zhang

    2017-01-01

    Full Text Available With the rapid rising of living standard, people gradually developed higher shopping enthusiasm and increasing demand for garment. Nowadays, an increasing number of people pursue fashion. However, facing too many types of garment, consumers need to try them on repeatedly, which is somewhat time- and energy-consuming. Besides, it is difficult for merchants to master the real-time demand of consumers. Herein, there is not enough cohesiveness between consumer information and merchants. Thus, a novel fashion evaluation method on the basis of the appearance weak feature is proposed in this paper. First of all, image database is established and three aspects of appearance weak feature are put forward to characterize the fashion level. Furthermore, the appearance weak features are extracted according to the characters’ facial feature localization method. Last but not least, consumers’ fashion level can be classified through support vector product, and the classification is verified with the hierarchical analysis method. The experimental results show that consumers’ fashion level can be accurately described based on the indexes of appearance weak feature and the approach has higher application value for the clothing recommendation system.

  3. 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.

  4. The doubly-labelled water method for measuring energy expenditure. Technical recommendations for use in humans

    International Nuclear Information System (INIS)

    Prentice, A.M.

    1990-01-01

    The doubly-labelled water method using stable isotopes of hydrogen and oxygen, is rapidly becoming established as an important new tool for investigating energy metabolism. It is the first genuinely non-invasive method for measuring energy expenditure in free-living people, providing estimates of habitual expenditure over a time period of 10-20 days. The accuracy and precision of these estimates should be superior to those obtained by traditional factorial methods. The DLW method involves several assumptions about the behaviour of the isotopes, the body water pool and the exchange rates within that pool in the labelled animal. These assumptions are: (1) The volume of the body water pool remains constant throughout the measurement period. (2) The rates of water influx, and water and CO 2 efflux are constant throughout the measurement period. (3) The isotopes label only the H 2 O and CO 2 in the body. (4) The isotopes leave the body only in the form of H 2 O and CO 2 . (5) The concentrations of the isotopes in H 2 O and CO 2 leaving the body are the same as those in body water at that time (i.e. there is no isotopic fractionation). (6) No H 2 O or CO 2 that has left the body re-enters the body. (7) The natural abundance, or ''background'' levels of the isotopes remain constant during the measurement interval. The recommendations presented in this document are based on a variety of criteria including: (a) which procedure among several is theoretically correct in a given application; (b) which procedure is simplest and least prone to methodological errors; and (c) which procedure yields the lowest error in validation studies. Refs, figs and tabs

  5. 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.

  6. Technology transfer through a network of standard methods and recommended practices - The case of petrochemicals

    Science.gov (United States)

    Batzias, Dimitris F.; Karvounis, Sotirios

    2012-12-01

    Technology transfer may take place in parallel with cooperative action between companies participating in the same organizational scheme or using one another as subcontractor (outsourcing). In this case, cooperation should be realized by means of Standard Methods and Recommended Practices (SRPs) to achieve (i) quality of intermediate/final products according to specifications and (ii) industrial process control as required to guarantee such quality with minimum deviation (corresponding to maximum reliability) from preset mean values of representative quality parameters. This work deals with the design of the network of SRPs needed in each case for successful cooperation, implying also the corresponding technology transfer, effectuated through a methodological framework developed in the form of an algorithmic procedure with 20 activity stages and 8 decision nodes. The functionality of this methodology is proved by presenting the path leading from (and relating) a standard test method for toluene, as petrochemical feedstock in the toluene diisocyanate production, to the (6 generations distance upstream) performance evaluation of industrial process control systems (ie., from ASTM D5606 to BS EN 61003-1:2004 in the SRPs network).

  7. 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.

  8. A Novel and Optimized Product Recommendation Method in E-commerce

    OpenAIRE

    Madani, Fariborz Mousavi; Memari, Mozhgan

    2007-01-01

    The rapid growth of e-commerce has caused product overload where customers on the Web are no longer able to effectively choose the products they are exposed to. Developing an intelligent recommendation system is proposed to overcome the problem of overloaded product's information provided by the e-commerce enterprises. This paper proposes a new hybrid recommendation scheme, called NOVEL, based on CF, WebCF-AR and WebCF-PT to enhance the recommendation quality and the system performance o...

  9. 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.

  10. How to Choose Appropriate Experts for Peer Review: An Intelligent Recommendation Method in a Big Data Context

    Directory of Open Access Journals (Sweden)

    Duanduan Liu

    2015-05-01

    Full Text Available The rapid development of the internet has led to the accumulation of massive amounts of data, and thus we find ourselves entering the age of big data. Obtaining useful information from these big data is a crucial issue. The aim of this article is to solve the problem of recommending experts to provide peer reviews for universities and other scientific research institutions. Our proposed recommendation method has two stages. An information filtering method is first offered to identify proper experts as a candidate set. Then, an aggregation model with various constraints is suggested to recommend appropriate experts for each applicant. The proposed method has been implemented in an online research community, and the results exhibit that the proposed method is more effective than existing ones.

  11. 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.

  12. Observations and recommendations for further research regarding environmentally assisted fatigue evaluation methods

    Energy Technology Data Exchange (ETDEWEB)

    Stevens, G.L.; Tregoning, R.L. [U.S. Nuclear Regulatory Commission (U.S. NRC), Rockville, MD (United States); Chopra, O.K. [Argonne National Laboratory, Argonne, IL (United States)

    2014-07-01

    strength, component testing (rather than small-scale specimen testing), ASME Code cumulative usage factor (CUF) calculation methods, and the effect of neutron irradiation on fatigue crack initiation in austenitic stainless steels. This paper describes those observations and provides recommendations for further research efforts.

  13. TB-CA: A hybrid method based on trust and context-aware for recommender system in social networks

    Directory of Open Access Journals (Sweden)

    Fateme Keikha

    2015-05-01

    Full Text Available Recommender systems help users faced with the problem of information overflow and provide personalized recommendations. Social networks are used for providing variety of business or social activities, or sometimes a combination of both. In this paper, by considering social network of users and according to users’ context and items, a new method is introduced that is based on trust and context aware for recommender systems in social networks. The purpose of this paper is to create a recommender system which increases precision of predicted ratings for all users especially for cold start users. In the proposed method, walking on web of trust is done by neighbor users for finding rating of similar items and users’ preference is gotten of items’ context. The results show that suitable recommendation with user’s context is provided by using this method. Also, this system can increase precision of predicted rating for all users and cold starts too and however, do not decrease the rating’s coverage.

  14. 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

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

    NARCIS (Netherlands)

    Calleri, Guido; Behrens, Ron H.; Schmid, Matthias L.; Gobbi, Federico; Grobusch, Martin P.; Castelli, Francesco; Gascon, Joaquim; Bisoffi, Zeno; Jelinek, Tomas; Caramello, Pietro; Atouguia, J.; Berg, A.; Clerinx, J.; Cuadros, J.; da Cunha, S.; Develoux, M.; Fry, G.; Genton, B.; Gjorup, I.; Hatz, C.; Hellgren, U.; Kern, P.; Kapaun, A.; Lucchini, A.; Morch, K.; Munoz, J.; Myrvang, B.; Paul, M.; Puente, S.; Siikamaki, H.

    2011-01-01

    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

  16. Evaluation of PDA Technical Report No 33. Statistical Testing Recommendations for a Rapid Microbiological Method Case Study.

    Science.gov (United States)

    Murphy, Thomas; Schwedock, Julie; Nguyen, Kham; Mills, Anna; Jones, David

    2015-01-01

    New recommendations for the validation of rapid microbiological methods have been included in the revised Technical Report 33 release from the PDA. The changes include a more comprehensive review of the statistical methods to be used to analyze data obtained during validation. This case study applies those statistical methods to accuracy, precision, ruggedness, and equivalence data obtained using a rapid microbiological methods system being evaluated for water bioburden testing. Results presented demonstrate that the statistical methods described in the PDA Technical Report 33 chapter can all be successfully applied to the rapid microbiological method data sets and gave the same interpretation for equivalence to the standard method. The rapid microbiological method was in general able to pass the requirements of PDA Technical Report 33, though the study shows that there can be occasional outlying results and that caution should be used when applying statistical methods to low average colony-forming unit values. Prior to use in a quality-controlled environment, any new method or technology has to be shown to work as designed by the manufacturer for the purpose required. For new rapid microbiological methods that detect and enumerate contaminating microorganisms, additional recommendations have been provided in the revised PDA Technical Report No. 33. The changes include a more comprehensive review of the statistical methods to be used to analyze data obtained during validation. This paper applies those statistical methods to analyze accuracy, precision, ruggedness, and equivalence data obtained using a rapid microbiological method system being validated for water bioburden testing. The case study demonstrates that the statistical methods described in the PDA Technical Report No. 33 chapter can be successfully applied to rapid microbiological method data sets and give the same comparability results for similarity or difference as the standard method. © PDA, Inc

  17. PROSPECT: a practical method for formulating evidence-based expert recommendations for the management of postoperative pain.

    Science.gov (United States)

    Neugebauer, E A M; Wilkinson, R C; Kehlet, H; Schug, S A

    2007-07-01

    Many patients still suffer severe acute pain in the postoperative period. Although guidelines for treating acute pain are widely published and promoted, most do not consider procedure-specific differences in pain experienced or in techniques that may be most effective and appropriate for different surgical settings. The procedure-specific postoperative pain management (PROSPECT) Working Group provides procedure-specific recommendations for postoperative pain management together with supporting evidence from systematic literature reviews and related procedures at http://www.postoppain.org The methodology for PROSPECT reviews was developed and refined by discussion of the Working Group, and it adapts existing methods for formulation of consensus recommendations to the specific requirements of PROSPECT. To formulate PROSPECT recommendations, we use a methodology that takes into account study quality and source and level of evidence, and we use recognized methods for achieving group consensus, thus reducing potential bias. The new methodology is first applied in full for the 2006 update of the PROSPECT review of postoperative pain management for laparoscopic cholecystectomy. Transparency in PROSPECT processes allows the users to be fully aware of any limitations of the evidence and recommendations, thereby allowing for appropriate decisions in their own practice setting.

  18. Using qualitative methods for attribute development for discrete choice experiments: issues and recommendations.

    Science.gov (United States)

    Coast, Joanna; Al-Janabi, Hareth; Sutton, Eileen J; Horrocks, Susan A; Vosper, A Jane; Swancutt, Dawn R; Flynn, Terry N

    2012-06-01

    Attribute generation for discrete choice experiments (DCEs) is often poorly reported, and it is unclear whether this element of research is conducted rigorously. This paper explores issues associated with developing attributes for DCEs and contrasts different qualitative approaches. The paper draws on eight studies, four developed attributes for measures, and four developed attributes for more ad hoc policy questions. Issues that have become apparent through these studies include the following: the theoretical framework for random utility theory and the need for attributes that are neither too close to the latent construct nor too intrinsic to people's personality; the need to think about attribute development as a two-stage process involving conceptual development followed by refinement of language to convey the intended meaning; and the difficulty in resolving tensions inherent in the reductiveness of condensing complex and nuanced qualitative findings into precise terms. The comparison of alternative qualitative approaches suggests that the nature of data collection will depend both on the characteristics of the question (its sensitivity, for example) and the availability of existing qualitative information. An iterative, constant comparative approach to analysis is recommended. Finally, the paper provides a series of recommendations for improving the reporting of this element of DCE studies. Copyright © 2011 John Wiley & Sons, Ltd.

  19. 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.

  20. 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.

  1. 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.

  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. Scoping review of response shift methods: current reporting practices and recommendations.

    Science.gov (United States)

    Sajobi, Tolulope T; Brahmbatt, Ronak; Lix, Lisa M; Zumbo, Bruno D; Sawatzky, Richard

    2018-05-01

    Response shift (RS) has been defined as a change in the meaning of an individual's self-evaluation of his/her health status and quality of life. Several statistical model- and design-based methods have been developed to test for RS in longitudinal data. We reviewed the uptake of these methods in patient-reported outcomes (PRO) literature. CINHAHL, EMBASE, Medline, ProQuest, PsycINFO, and Web of Science were searched to identify English-language articles about RS published until 2016. Data on year and country of publication, PRO measure adopted, RS detection method, type of RS detected, and testing of underlying model assumptions were extracted from the included articles. Of the 1032 articles identified, 101 (9.8%) articles were included in the study. While 54.5 of the articles reported on the Then-test, 30.7% of the articles reported on Oort's or Schmitt's structural equation modeling (SEM) procedure. Newer RS detection methods, such as relative importance analysis and random forest regression, have been used less frequently. Less than 25% reported on testing the assumptions underlying the adopted RS detection method(s). Despite rapid methodological advancements in RS research, this review highlights the need for further research about RS detection methods for complex longitudinal data and standardized reporting guidelines.

  4. Validation and Recommendation of Methods to Measure Biogas Production Potential of Animal Manure

    Directory of Open Access Journals (Sweden)

    C. H. Pham

    2013-06-01

    Full Text Available In developing countries, biogas energy production is seen as a technology that can provide clean energy in poor regions and reduce pollution caused by animal manure. Laboratories in these countries have little access to advanced gas measuring equipment, which may limit research aimed at improving local adapted biogas production. They may also be unable to produce valid estimates of an international standard that can be used for articles published in international peer-reviewed science journals. This study tested and validated methods for measuring total biogas and methane (CH4 production using batch fermentation and for characterizing the biomass. The biochemical methane potential (BMP (CH4 NL kg−1 VS of pig manure, cow manure and cellulose determined with the Moller and VDI methods was not significantly different in this test (p>0.05. The biodegradability using a ratio of BMP and theoretical BMP (TBMP was slightly higher using the Hansen method, but differences were not significant. Degradation rate assessed by methane formation rate showed wide variation within the batch method tested. The first-order kinetics constant k for the cumulative methane production curve was highest when two animal manures were fermented using the VDI 4630 method, indicating that this method was able to reach steady conditions in a shorter time, reducing fermentation duration. In precision tests, the repeatability of the relative standard deviation (RSDr for all batch methods was very low (4.8 to 8.1%, while the reproducibility of the relative standard deviation (RSDR varied widely, from 7.3 to 19.8%. In determination of biomethane concentration, the values obtained using the liquid replacement method (LRM were comparable to those obtained using gas chromatography (GC. This indicates that the LRM method could be used to determine biomethane concentration in biogas in laboratories with limited access to GC.

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

    Science.gov (United States)

    2010-07-01

    ... individual facility, the ease of collection, and the projected cost effectiveness of using various methods... located in an area the worker frequents in the normal course of business. (3) In locations where computer...

  6. 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. © 2016 Her Majesty the Queen in Right of Canada. Drug Testing and Analysis © 2016 John Wiley & Sons, Ltd.

  7. How does the choice of ILCD’s recommended methods change the assessment of environmental impacts in LCA of products?

    DEFF Research Database (Denmark)

    Owsianiak, Mikolaj; Laurent, Alexis; Bjørn, Anders

    2014-01-01

    on human health and impacts from land use on natural environment; between 1 and 3 orders of magnitude for metal depletion and for toxicity-related impact categories; and within 1 order of magnitude for the remaining impact categories.These differences are caused by the differences in underlying...... environmental impacts and there is large difference in demand for output from that process between the compared options. Nevertheless, the choice of ILCD' matters the most for assessment of impacts from ionizing radiation, land use, resource depletion (minerals), and all toxicity-related impact categories......The European Commission has launched a recommended set of characterization methods for application inlife cycle impact assessment (LCIA). However, it is not known yet whether the choice of the recommended practice, referred to as the ILCD, over existing LCIA methodologies matter for interpretation...

  8. 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...... 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...

  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. A Study of Assertive Discipline and Recommendations for Effective Classroom Management Methods.

    Science.gov (United States)

    Ellis, David W.; Karr-Kidwell, PJ

    Lee Canter's Assertive Discipline method was studied using a survey of 72 high school teachers' attitudes. Assertive Discipline calls for firm but fair rules, negative consequences for inappropriate behavior, and positive consequences for positive behavior, all set by the teacher. After a lengthy literature review, the survey is discussed.…

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

    NARCIS (Netherlands)

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

    2017-01-01

    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

  12. 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.

  13. Recommendation for a contouring method and atlas of organs at risk in nasopharyngeal carcinoma patients receiving intensity-modulated radiotherapy

    International Nuclear Information System (INIS)

    Sun, Ying; Yu, Xiao-Li; Luo, Wei; Lee, Anne W.M.; Wee, Joseph Tien Seng; Lee, Nancy; Zhou, Guan-Qun; Tang, Ling-Long; Tao, Chang-Juan; Guo, Rui; Mao, Yan-Ping; Zhang, Rong; Guo, Ying; Ma, Jun

    2014-01-01

    Background and purpose: To recommend contouring methods and atlas of organs at risk (OARs) for nasopharyngeal carcinoma (NPC) patients receiving intensity-modulated radiotherapy, in order to help reach a consensus on interpretations of OARs delineation. Methods and materials: Two to four contouring methods for the middle ear, inner ear, temporal lobe, parotid gland and spinal cord were identified via systematic literature review; their volumes and dosimetric parameters were compared in 41 patients. Areas under the receiver operating characteristic curves for temporal lobe contouring were compared in 21 patients with unilateral temporal lobe necrosis (TLN). Results: Various contouring methods for the temporal lobe, middle ear, inner ear, parotid gland and spinal cord lead to different volumes and dosimetric parameters (P < 0.05). For TLN, D1 of PRV was the most relevant dosimetric parameter and 64 Gy was the critical point. We suggest contouring for the temporal lobe, middle ear, inner ear, parotid gland and spinal cord. A CT–MRI fusion atlas comprising 33 OARs was developed. Conclusions: Different dosimetric parameters may hinder the dosimetric research. The present recommendation and atlas, may help reach a consensus on subjective interpretation of OARs delineation to reduce inter-institutional differences in NPC patients

  14. 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.

  15. A Nonnegative Latent Factor Model for Large-Scale Sparse Matrices in Recommender Systems via Alternating Direction Method.

    Science.gov (United States)

    Luo, Xin; Zhou, MengChu; Li, Shuai; You, Zhuhong; Xia, Yunni; Zhu, Qingsheng

    2016-03-01

    Nonnegative matrix factorization (NMF)-based models possess fine representativeness of a target matrix, which is critically important in collaborative filtering (CF)-based recommender systems. However, current NMF-based CF recommenders suffer from the problem of high computational and storage complexity, as well as slow convergence rate, which prevents them from industrial usage in context of big data. To address these issues, this paper proposes an alternating direction method (ADM)-based nonnegative latent factor (ANLF) model. The main idea is to implement the ADM-based optimization with regard to each single feature, to obtain high convergence rate as well as low complexity. Both computational and storage costs of ANLF are linear with the size of given data in the target matrix, which ensures high efficiency when dealing with extremely sparse matrices usually seen in CF problems. As demonstrated by the experiments on large, real data sets, ANLF also ensures fast convergence and high prediction accuracy, as well as the maintenance of nonnegativity constraints. Moreover, it is simple and easy to implement for real applications of learning systems.

  16. 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.

  17. Methods for the economic evaluation of changes to the organisation and delivery of health services: principal challenges and recommendations.

    Science.gov (United States)

    Meacock, Rachel

    2018-04-20

    There is a requirement for economic evaluation of health technologies seeking public funding across Europe. Changes to the organisation and delivery of health services, including changes to health policy, are not covered by such appraisals. These changes also have consequences for National Health Service (NHS) funds, yet undergo no mandatory cost-effectiveness assessment. The focus on health technologies may have occurred because larger-scale service changes pose more complex challenges to evaluators. This paper discusses the principal challenges faced when performing economic evaluations of changes to the organisation and delivery of health services and provides recommendations for overcoming them. The five principal challenges identified are as follows: undertaking ex-ante evaluation; evaluating impacts in terms of quality-adjusted life years; assessing costs and opportunity costs; accounting for spillover effects; and generalisability. Of these challenges, methods for estimating the impact on costs and quality-adjusted life years are those most in need of development. Methods are available for ex-ante evaluation, assessing opportunity costs and examining generalisability. However, these are rarely applied in practice. The general principles of assessing the cost-effectiveness of interventions should be applied to all NHS spending, not just that involving health technologies. Advancements in this area have the potential to improve the allocation of scarce NHS resources.

  18. International recommendations

    International Nuclear Information System (INIS)

    Lindell, Bo

    1986-01-01

    , provided that, in what may be a multi-stage process, additional modifying factors ('promotors') are at hand. The postulated assumption for stochastic effects is that the risk (probability of cancer) from a small dose increment is proportional to the dose increment, irrespective of previous or later radiation exposures. No dose increment can then be said to be entirely 'safe' although the risk would be very small if the dose increment is small. For normal operation of practices that cause radiation exposures, individuals are protected by dose limits recommended by ICRP. The dose limits guarantee that the radiation risk will not dominate the individual's risk situation. However, the dose limits are supplemented by the further recommendation that all radiation exposures should be kept as low as reasonably achievable, 'economic and social factors being taken into account'. This recommendation is also referred to as the recommendation on optimizing radiation protection. Various methods for this have been used, for example differential cost/benefit analysis. For accidental situations, the ICRP dose limits do not apply. The situation of persons who are at risk of being exposed, e.g. from radioactive substances in the environment or in food-stuffs, can only be improved by remedial actions. The purpose of remedial actions is to eliminate high risks, if possible, and to reduce any radiation risk as far as reasonably achievable. An obvious requirement is that the remedial action must not put individuals in a worse situation than if the action had not been taken. It follows the dose that must be avoided by remedial action, and the dose reduction which would be reasonably achievable by the action, will depend on the type of action and the risks and other consequences of the action. It is therefore not possible to give universally applicable action levels of dose. However, for certain identified actions in described situations, action levels may be given in beforehand. In its

  19. Final recommendations of the Peer Review Panel on the use of seismic methods for characterizing Yucca Mountain and vicinity

    International Nuclear Information System (INIS)

    1991-01-01

    The Peer Review Panel was charged with deciding whether seismic methods, which had been utilized at Yucca Mountain with mixed results in the past, could provide useful information about the Tertiary structure in the Yucca Mountain area. The objectives of using seismic methods at Yucca Mountain are to: (a) obtain information about the structural character of the Paleozoic-Tertiary (Pz-T) contact, and (b) obtain information about the structural and volcanic details within the Tertiary and Quaternary section. The Panel recommends that a four part program be undertaken to test the utility of seismic reflection data for characterizing the structural setting of the Yucca Mountain area. The Panel feels strongly that all four parts of the program must be completed in order to provide the highest probability of success. The four parts of the program are: (a) drill or extend a deep hole in Crater Flat to provide depth control and allow for the identification of seismic reflectors in an area where good quality seismic reflection data are expected; (b) undertake a full seismic noise test in Crater Flat, test 2D receiver arrays as well as linear arrays; perform an expanding spread test using both P and S wave sources to obtain a quick look at the reflection quality in the area and see if shear wave reflections might provide structural information in areas of unsaturated rock; (c) acquire a P wave seismic reflection profile across Crater Flat through the deep control well, across Yucca Mountain, and continuing into Jackass Flats; and (d) acquire a standard VSP (vertical seismic profiling) in the deep control well to tie the seismic data into depth and to identify reflectors correctly

  20. 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.

  1. 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

  2. Recommender systems

    OpenAIRE

    Lu L.; Medo M.; Yeung C.H.; Zhang Y.-C.; Zhang Z.-K.; Zhou T.

    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...

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

    Directory of Open Access Journals (Sweden)

    Greta R Bauer

    Full Text Available 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

  4. 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

  5. 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

  6. 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

  7. 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)

    Unsworth, Carolyn; Harries, Priscilla; Davies, Miranda

    2015-02-01

    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. 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. 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). Findings can be used by both experienced and novice driver assessors to reflect on and strengthen the fitness-to-drive recommendations made to clients.

  8. 76 FR 20672 - Recommendations on In Vitro Ocular Safety Testing Methods and Strategies and Routine Use of...

    Science.gov (United States)

    2011-04-13

    ...) to identify some types of substances that will not cause sufficient injury to require eye hazard... and refine the use of animals for assessing the ocular hazard potential of chemicals and products are now available. ICCVAM recommended a pain management procedure that should always be used to avoid pain...

  9. 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

  10. Adjusting survival time estimates to account for treatment switching in randomized controlled trials--an economic evaluation context: methods, limitations, and recommendations.

    Science.gov (United States)

    Latimer, Nicholas R; Abrams, Keith R; Lambert, Paul C; Crowther, Michael J; Wailoo, Allan J; Morden, James P; Akehurst, Ron L; Campbell, Michael J

    2014-04-01

    Treatment switching commonly occurs in clinical trials of novel interventions in the advanced or metastatic cancer setting. However, methods to adjust for switching have been used inconsistently and potentially inappropriately in health technology assessments (HTAs). We present recommendations on the use of methods to adjust survival estimates in the presence of treatment switching in the context of economic evaluations. We provide background on the treatment switching issue and summarize methods used to adjust for it in HTAs. We discuss the assumptions and limitations associated with adjustment methods and draw on results of a simulation study to make recommendations on their use. We demonstrate that methods used to adjust for treatment switching have important limitations and often produce bias in realistic scenarios. We present an analysis framework that aims to increase the probability that suitable adjustment methods can be identified on a case-by-case basis. We recommend that the characteristics of clinical trials, and the treatment switching mechanism observed within them, should be considered alongside the key assumptions of the adjustment methods. Key assumptions include the "no unmeasured confounders" assumption associated with the inverse probability of censoring weights (IPCW) method and the "common treatment effect" assumption associated with the rank preserving structural failure time model (RPSFTM). The limitations associated with switching adjustment methods such as the RPSFTM and IPCW mean that they are appropriate in different scenarios. In some scenarios, both methods may be prone to bias; "2-stage" methods should be considered, and intention-to-treat analyses may sometimes produce the least bias. The data requirements of adjustment methods also have important implications for clinical trialists.

  11. Review and International Recommendation of Methods for Typing Neisseria gonorrhoeae Isolates and Their Implications for Improved Knowledge of Gonococcal Epidemiology, Treatment, and Biology

    Science.gov (United States)

    Unemo, Magnus; Dillon, Jo-Anne R.

    2011-01-01

    Summary: Gonorrhea, which may become untreatable due to multiple resistance to available antibiotics, remains a public health problem worldwide. Precise methods for typing Neisseria gonorrhoeae, together with epidemiological information, are crucial for an enhanced understanding regarding issues involving epidemiology, test of cure and contact tracing, identifying core groups and risk behaviors, and recommending effective antimicrobial treatment, control, and preventive measures. This review evaluates methods for typing N. gonorrhoeae isolates and recommends various methods for different situations. Phenotypic typing methods, as well as some now-outdated DNA-based methods, have limited usefulness in differentiating between strains of N. gonorrhoeae. Genotypic methods based on DNA sequencing are preferred, and the selection of the appropriate genotypic method should be guided by its performance characteristics and whether short-term epidemiology (microepidemiology) or long-term and/or global epidemiology (macroepidemiology) matters are being investigated. Currently, for microepidemiological questions, the best methods for fast, objective, portable, highly discriminatory, reproducible, typeable, and high-throughput characterization are N. gonorrhoeae multiantigen sequence typing (NG-MAST) or full- or extended-length porB gene sequencing. However, pulsed-field gel electrophoresis (PFGE) and Opa typing can be valuable in specific situations, i.e., extreme microepidemiology, despite their limitations. For macroepidemiological studies and phylogenetic studies, DNA sequencing of chromosomal housekeeping genes, such as multilocus sequence typing (MLST), provides a more nuanced understanding. PMID:21734242

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

    International Nuclear Information System (INIS)

    Muhogora, Wilbroad; Padovani, Renato; Bonutti, Faustino; Msaki, Peter; Kazema, R.

    2011-01-01

    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. (author)

  13. 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.

  14. RoK: Roll-Up with the K-Means Clustering Method for Recommending OLAP Queries

    Science.gov (United States)

    Bentayeb, Fadila; Favre, Cécile

    Dimension hierarchies represent a substantial part of the data warehouse model. Indeed they allow decision makers to examine data at different levels of detail with On-Line Analytical Processing (OLAP) operators such as drill-down and roll-up. The granularity levels which compose a dimension hierarchy are usually fixed during the design step of the data warehouse, according to the identified analysis needs of the users. However, in practice, the needs of users may evolve and grow in time. Hence, to take into account the users’ analysis evolution into the data warehouse, we propose to integrate personalization techniques within the OLAP process. We propose two kinds of OLAP personalization in the data warehouse: (1) adaptation and (2) recommendation.

  15. 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. Copyright © 2013 SESPAS. Published by Elsevier Espana. All rights reserved.

  16. Group Contribution Method for Evaluation of Volumetric Properties of Ionic Liquids Using Experimental Data Recommended by Mathematical Gnostics.

    Czech Academy of Sciences Publication Activity Database

    Zhao, N.; Menegollo, H.B.; Degirmenci, V.; Wagner, Zdeněk; Bendová, Magdalena; Jacquemin, J.

    Roč. 56, č. 23 ( 2017 ), s. 6827-6840 ISSN 0888-5885 Grant - others:CEA(GB) 4600261677/P6E31; EPSRC(GB) EP/M021785/1 Institutional support: RVO:67985858 Keywords : ionic liquids * matematical gnostics * group-contribution method Subject RIV: CF - Physical ; Theoretical Chemistry OBOR OECD: Physical chemistry Impact factor: 2.843, year: 2016

  17. Methods for the decontamination of personnel recommended by a company doctor on the basis of recent research results

    International Nuclear Information System (INIS)

    Heinemann, G.

    1992-01-01

    There is no single panacea for all kinds of contamination and, thus, no standard procedure to be uniformly adopted in the decontamination of individuals. This means that methods of personnel decontamination vary according to the different working conditions encountered in research laboratories and units for the production of nuclear fuel and radionuclides on the one hand and nuclear power plants on the other hand. Some knowledge of the chemical properties of contaminating materials appears indispensable, but is mostly found wanting. A suitable method of personnel decontamination can by no means be defined as one that ensures the cleaning of contaminations from the skin surface. All decontamination measures, even the less aggressive ones, may result in incorporation. An intact skin offers the best protection against incorporation. It must be borne in mind that most contaminations occuring in nuclear power plants are of minor importance as regards dose. The damage to the affected individual from aggressive methods of removal will be much greater than that from any radioactivity remaining in the corneal layer. (orig.) [de

  18. 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.

  19. 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.

    Directory of Open Access Journals (Sweden)

    Marlene K Wolfe

    Full Text Available 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

  20. 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)

    Wolfe, Marlene K; 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 and

  1. 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.

  2. 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.

  3. Adaptation of the European Commission-recommended user testing method to patient medication information leaflets in Japan

    Directory of Open Access Journals (Sweden)

    Yamamoto M

    2017-06-01

    Full Text Available Michiko Yamamoto,1 Hirohisa Doi,1 Ken Yamamoto,2 Kazuhiro Watanabe,2 Tsugumichi Sato,3 Machi Suka,4 Takeo Nakayama,5 Hiroki Sugimori6 1Department of Drug Informatics, Center for Education & Research on Clinical Pharmacy, Showa Pharmaceutical University, Tokyo, Japan; 2Department of Pharmacy Practice, Center for Education & Research on Clinical Pharmacy, Showa Pharmaceutical University, Tokyo, Japan; 3Faculty of Pharmaceutical Sciences, Tokyo University of Science, Chiba, Japan; 4Department of Public Health and Environmental Medicine, The Jikei University School of Medicine, Tokyo, Japan; 5Department of Health Informatics, Kyoto University School of Public, Kyoto, Japan; 6Department of Preventive Medicine, Graduate School of Sports and Health Sciences, Daito Bunka University, Saitama, Japan Background: The safe use of drugs relies on providing accurate drug information to patients. In Japan, patient leaflets called Drug Guide for Patients are officially available; however, their utility has never been verified. This is the first attempt to improve Drug Guide for Patients via user testing in Japan.Purpose: To test and improve communication of drug information to minimize risk for patients via user testing of the current and revised versions of Drug Guide for Patients, and to demonstrate that this method is effective for improving Drug Guide for Patients in Japan.Method: We prepared current and revised versions of the Drug Guide for Patients and performed user testing via semi-structured interviews with consumers to compare these versions for two guides for Mercazole and Strattera. We evenly divided 54 participants into two groups with similar distributions of sex, age, and literacy level to test the differing versions of the Mercazole guide. Another group of 30 participants were divided evenly to test the versions of the Strattera guide. After completing user testing, the participants evaluated both guides in terms of amount of information

  4. How can male rates of HIV testing be increased? Recommendations from a mixed methods study in southern Malawi.

    Science.gov (United States)

    Rankin-Williams, Amy C; Geoffroy, Elizabeth M; Schell, Ellen S; Mguntha, Andrew M

    2017-11-01

    In southern Malawi, 12.8% of adults are HIV positive. Men are less likely to have been tested than women. We investigated men's HIV knowledge and the attitudes, influencers, facilitators and barriers affecting HIV testing. We conducted an explanatory mixed-methods study with analysis of secondary quantitative data from 425 rural men collected in January 2014 (time 1) and April 2015 (time 2) and qualitative interviews with 50 men in September 2015. All respondents lived in villages receiving HIV education and testing. Quantitative data revealed that comprehensive HIV knowledge increased and was associated with having been tested by time 2. Educational level was positively associated with having been tested. Men's reasons for not getting tested were fear of learning their HIV status, fear of rejection by partners and wives and fear of discrimination. Wives influenced men's opinions about healthcare. The qualitative results demonstrated that men feared being seen at test sites and feared discrimination. Wives had the greatest reported influence on male testing. Men perceived services as female-oriented and stigmatizing. They preferred door-to-door testing. Providers can improve uptake by increasing men's HIV knowledge, leveraging the influence of spouses and offering door-to-door testing with male health workers. © The Author(s) 2017. Published by Oxford University Press on behalf of Royal Society of Tropical Medicine and Hygiene. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

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

    Directory of Open Access Journals (Sweden)

    Toussi Massoud

    2009-06-01

    Full Text Available Abstract Background 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. Methods 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. Results 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. Conclusion Our method showed its usefulness for completing guidelines recommendations with rules learnt automatically from physicians' prescriptions. It could be used

  6. Microbial environmental contamination in Italian dental clinics: A multicenter study yielding recommendations for standardized sampling methods and threshold values.

    Science.gov (United States)

    Pasquarella, Cesira; Veronesi, Licia; Napoli, Christian; Castiglia, Paolo; Liguori, Giorgio; Rizzetto, Rolando; Torre, Ida; Righi, Elena; Farruggia, Patrizia; Tesauro, Marina; Torregrossa, Maria V; Montagna, Maria T; Colucci, Maria E; Gallè, Francesca; Masia, Maria D; Strohmenger, Laura; Bergomi, Margherita; Tinteri, Carola; Panico, Manuela; Pennino, Francesca; Cannova, Lucia; Tanzi, Marialuisa

    2012-03-15

    A microbiological environmental investigation was carried out in ten dental clinics in Italy. Microbial contamination of water, air and surfaces was assessed in each clinic during the five working days, for one week per month, for a three-month period. Water and surfaces were sampled before and after clinical activity; air was sampled before, after, and during clinical activity. A wide variation was found in microbial environmental contamination, both within the participating clinics and for the different sampling times. Before clinical activity, microbial water contamination in tap water reached 51,200cfu/mL (colony forming units per milliliter), and that in Dental Unit Water Systems (DUWSs) reached 872,000cfu/mL. After clinical activity, there was a significant decrease in the Total Viable Count (TVC) in tap water and in DUWSs. Pseudomonas aeruginosa was found in 2.38% (7/294) of tap water samples and in 20.06% (59/294) of DUWS samples; Legionella spp. was found in 29.96% (89/297) of tap water samples and 15.82% (47/297) of DUWS samples, with no significant difference between pre- and post-clinical activity. Microbial air contamination was highest during dental treatments, and decreased significantly at the end of the working activity (p<0.05). The microbial buildup on surfaces increased significantly during the working hours. This study provides data for the establishment of standardized sampling methods, and threshold values for contamination monitoring in dentistry. Some very critical situations have been observed which require urgent intervention. Furthermore, the study emphasizes the need for research aimed at defining effective managing strategies for dental clinics. Copyright © 2012 Elsevier B.V. All rights reserved.

  7. 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.

  8. 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

  9. Comparing the ISO-recommended and the cumulative data-reduction algorithms in S-on-1 laser damage test by a reverse approach method

    Science.gov (United States)

    Zorila, Alexandru; Stratan, Aurel; Nemes, George

    2018-01-01

    We compare the ISO-recommended (the standard) data-reduction algorithm used to determine the surface laser-induced damage threshold of optical materials by the S-on-1 test with two newly suggested algorithms, both named "cumulative" algorithms/methods, a regular one and a limit-case one, intended to perform in some respects better than the standard one. To avoid additional errors due to real experiments, a simulated test is performed, named the reverse approach. This approach simulates the real damage experiments, by generating artificial test-data of damaged and non-damaged sites, based on an assumed, known damage threshold fluence of the target and on a given probability distribution function to induce the damage. In this work, a database of 12 sets of test-data containing both damaged and non-damaged sites was generated by using four different reverse techniques and by assuming three specific damage probability distribution functions. The same value for the threshold fluence was assumed, and a Gaussian fluence distribution on each irradiated site was considered, as usual for the S-on-1 test. Each of the test-data was independently processed by the standard and by the two cumulative data-reduction algorithms, the resulting fitted probability distributions were compared with the initially assumed probability distribution functions, and the quantities used to compare these algorithms were determined. These quantities characterize the accuracy and the precision in determining the damage threshold and the goodness of fit of the damage probability curves. The results indicate that the accuracy in determining the absolute damage threshold is best for the ISO-recommended method, the precision is best for the limit-case of the cumulative method, and the goodness of fit estimator (adjusted R-squared) is almost the same for all three algorithms.

  10. 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

  11. Selection and reporting of statistical methods to assess reliability of a diagnostic test: Conformity to recommended methods in a peer-reviewed journal

    International Nuclear Information System (INIS)

    Park, Ji Eun; Sung, Yu Sub; Han, Kyung Hwa

    2017-01-01

    To evaluate the frequency and adequacy of statistical analyses in a general radiology journal when reporting a reliability analysis for a diagnostic test. Sixty-three studies of diagnostic test accuracy (DTA) and 36 studies reporting reliability analyses published in the Korean Journal of Radiology between 2012 and 2016 were analyzed. Studies were judged using the methodological guidelines of the Radiological Society of North America-Quantitative Imaging Biomarkers Alliance (RSNA-QIBA), and COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) initiative. DTA studies were evaluated by nine editorial board members of the journal. Reliability studies were evaluated by study reviewers experienced with reliability analysis. Thirty-one (49.2%) of the 63 DTA studies did not include a reliability analysis when deemed necessary. Among the 36 reliability studies, proper statistical methods were used in all (5/5) studies dealing with dichotomous/nominal data, 46.7% (7/15) of studies dealing with ordinal data, and 95.2% (20/21) of studies dealing with continuous data. Statistical methods were described in sufficient detail regarding weighted kappa in 28.6% (2/7) of studies and regarding the model and assumptions of intraclass correlation coefficient in 35.3% (6/17) and 29.4% (5/17) of studies, respectively. Reliability parameters were used as if they were agreement parameters in 23.1% (3/13) of studies. Reproducibility and repeatability were used incorrectly in 20% (3/15) of studies. Greater attention to the importance of reporting reliability, thorough description of the related statistical methods, efforts not to neglect agreement parameters, and better use of relevant terminology is necessary

  12. Selection and reporting of statistical methods to assess reliability of a diagnostic test: Conformity to recommended methods in a peer-reviewed journal

    Energy Technology Data Exchange (ETDEWEB)

    Park, Ji Eun; Sung, Yu Sub [Dept. of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul (Korea, Republic of); Han, Kyung Hwa [Dept. of Radiology, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul (Korea, Republic of); and others

    2017-11-15

    To evaluate the frequency and adequacy of statistical analyses in a general radiology journal when reporting a reliability analysis for a diagnostic test. Sixty-three studies of diagnostic test accuracy (DTA) and 36 studies reporting reliability analyses published in the Korean Journal of Radiology between 2012 and 2016 were analyzed. Studies were judged using the methodological guidelines of the Radiological Society of North America-Quantitative Imaging Biomarkers Alliance (RSNA-QIBA), and COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) initiative. DTA studies were evaluated by nine editorial board members of the journal. Reliability studies were evaluated by study reviewers experienced with reliability analysis. Thirty-one (49.2%) of the 63 DTA studies did not include a reliability analysis when deemed necessary. Among the 36 reliability studies, proper statistical methods were used in all (5/5) studies dealing with dichotomous/nominal data, 46.7% (7/15) of studies dealing with ordinal data, and 95.2% (20/21) of studies dealing with continuous data. Statistical methods were described in sufficient detail regarding weighted kappa in 28.6% (2/7) of studies and regarding the model and assumptions of intraclass correlation coefficient in 35.3% (6/17) and 29.4% (5/17) of studies, respectively. Reliability parameters were used as if they were agreement parameters in 23.1% (3/13) of studies. Reproducibility and repeatability were used incorrectly in 20% (3/15) of studies. Greater attention to the importance of reporting reliability, thorough description of the related statistical methods, efforts not to neglect agreement parameters, and better use of relevant terminology is necessary.

  13. The current state of Bayesian methods in medical product development: survey results and recommendations from the DIA Bayesian Scientific Working Group.

    Science.gov (United States)

    Natanegara, Fanni; Neuenschwander, Beat; Seaman, John W; Kinnersley, Nelson; Heilmann, Cory R; Ohlssen, David; Rochester, George

    2014-01-01

    Bayesian applications in medical product development have recently gained popularity. Despite many advances in Bayesian methodology and computations, increase in application across the various areas of medical product development has been modest. The DIA Bayesian Scientific Working Group (BSWG), which includes representatives from industry, regulatory agencies, and academia, has adopted the vision to ensure Bayesian methods are well understood, accepted more broadly, and appropriately utilized to improve decision making and enhance patient outcomes. As Bayesian applications in medical product development are wide ranging, several sub-teams were formed to focus on various topics such as patient safety, non-inferiority, prior specification, comparative effectiveness, joint modeling, program-wide decision making, analytical tools, and education. The focus of this paper is on the recent effort of the BSWG Education sub-team to administer a Bayesian survey to statisticians across 17 organizations involved in medical product development. We summarize results of this survey, from which we provide recommendations on how to accelerate progress in Bayesian applications throughout medical product development. The survey results support findings from the literature and provide additional insight on regulatory acceptance of Bayesian methods and information on the need for a Bayesian infrastructure within an organization. The survey findings support the claim that only modest progress in areas of education and implementation has been made recently, despite substantial progress in Bayesian statistical research and software availability. Copyright © 2013 John Wiley & Sons, Ltd.

  14. Synopsis of Past Stimulation Methods in Enhanced (Engineered) Geothermal Systems, Boreholes, and Existing Hydrothermal Systems with Success Analysis and Recommendations for Future Projects

    Science.gov (United States)

    Broadhurst, T.; Mattson, E.

    2017-12-01

    Enhanced geothermal systems (EGS) are gaining in popularity as a technology that can be used to increase areas for geothermal resource procurement. One of the most important factors in the success of an EGS system is the success of the subsurface reservoir that is used for fluid flow and heat mining through advection. There are numerous challenges in stimulating a successful reservoir, including maintaining flow rates, minimizing leak off, preventing short-circuiting, and reducing the risk of microseismicity associated with subsurface activity. Understanding past examples of stimulation can be invaluable in addressing these challenges. This study provides an overview of stimulation methods that have been employed in EGS systems from 1974-2017. We include all geothermal reservoirs and demonstration projects that have experienced hydrofracturing, chemical stimulation, and induced thermal stress for a comprehensive list. We also examine different metrics and measures of success in geothermal reservoir stimulation to draw conclusions and provide recommendations for future projects. Multiple project characteristics are reported including geologic setting, stress conditions, reservoir temperature, injection specifics, resulting microseismicity, and overall project goals. Insight into optimal and unproductive stimulation methods is crucial to conserving mental capital, utilizing project funding, and ensuring EGS technology advances as efficiently as possible.

  15. 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...

  16. 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...

  17. 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

  18. ICRS Recommendation Document

    DEFF Research Database (Denmark)

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

    2011-01-01

    and function evaluated for validity and psychometric properties in patients with articular cartilage lesions. Results: The knee-specific instruments, titled the International Knee Documentation Committee Subjective Knee Form and the Knee injury and Osteoarthritis and Outcome Score, both fulfill the basic......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...

  19. A Group Recommender System for Tourist Activities

    Science.gov (United States)

    Garcia, Inma; Sebastia, Laura; Onaindia, Eva; Guzman, Cesar

    This paper introduces a method for giving recommendations of tourist activities to a group of users. This method makes recommendations based on the group tastes, their demographic classification and the places visited by the users in former trips. The group recommendation is computed from individual personal recommendations through the use of techniques such as aggregation, intersection or incremental intersection. This method is implemented as an extension of the e-Tourism tool, which is a user-adapted tourism and leisure application, whose main component is the Generalist Recommender System Kernel (GRSK), a domain-independent taxonomy-driven search engine that manages the group recommendation.

  20. Avoiding congestion in recommender systems

    International Nuclear Information System (INIS)

    Ren, Xiaolong; Lü, Linyuan; Liu, Runran; Zhang, Jianlin

    2014-01-01

    Recommender systems use the historical activities and personal profiles of users to uncover their preferences and recommend objects. Most of the previous methods are based on objects’ (and/or users’) similarity rather than on their difference. Such approaches are subject to a high risk of increasingly exposing users to a narrowing band of popular objects. As a result, a few objects may be recommended to an enormous number of users, resulting in the problem of recommendation congestion, which is to be avoided, especially when the recommended objects are limited resources. In order to quantitatively measure a recommendation algorithm's ability to avoid congestion, we proposed a new metric inspired by the Gini index, which is used to measure the inequality of the individual wealth distribution in an economy. Besides this, a new recommendation method called directed weighted conduction (DWC) was developed by considering the heat conduction process on a user–object bipartite network with different thermal conductivities. Experimental results obtained for three benchmark data sets showed that the DWC algorithm can effectively avoid system congestion, and greatly improve the novelty and diversity, while retaining relatively high accuracy, in comparison with the state-of-the-art methods. (paper)

  1. Comparison of selective agars recommended by method ISO 11290-1 and chromogenic agars for the isolation of Listeria sp. in refrigerated sausages

    Directory of Open Access Journals (Sweden)

    Thalyta Marina Benetti

    2012-12-01

    Full Text Available The aim of this study was to determine the prevalence of Listeria sp. in refrigerated sausages, and to compare the performance of the selective plating media employed in the ISO 11290-1 method (PALCAM and Oxford agars with chromogenic agars (Chromogenic Listeria agars CM 1080 (OCLA and CM 1084. The prevalence of Listeria sp. detected was 52.9%, comprising 13.7% L. monocytogenes strains. The efficacy of the four agars for the isolation of L. monocytogenes proved to be satisfactory. Despite differences in composition of the chromogenic media assessed, these disparities did not affect concordance among results. However, PALCAM agar was shown to suppress other microorganisms more effectively, being more applicable for detecting Listeria strains present in lower quantities. Based on these results, the use of PALCAM agar, in combination with a chromogenic media, is recommended for enhanced isolation of atypical Listeria sp. strains in meat products.Este estudo teve como objetivo a análise da prevalência de Listeria sp. em linguiças resfriadas e a comparação dos meios seletivos utilizados no plaqueamento do método ISO 11290-1 (Ágar PALCAM e Ágar Oxford, e ágares cromogênicos (Ágares Listeria Cromogênico CM 1080 (OCLA e CM 1084 (ISO. A frequência de Listeria sp. foi de 52,9%, sendo que destas, 13,7% corresponderam à L. monocytogenes. A eficácia dos quatro ágares para o isolamento de L. monocytogenes demonstrou-se satisfatória. Apesar de haver algumas diferenças nas composições dos meios cromogênicos analisados, estas não pareceram influenciar nas concordâncias entre os resultados expressos. Contudo, o ágar PALCAM mostrou-se mais eficaz na supressão de outros micro-organismos, aumentando, assim, a possibilidade de detecção de espécies de Listeria presentes em número reduzido. Através deste trabalho sugere-se a utilização do ágar PALCAM associado a um meio cromogênico para aumentar a chance de isolamento de cepas at

  2. International Cognition and Cancer Task Force Recommendations for Neuroimaging Methods in the Study of Cognitive Impairment in Non-CNS Cancer Patients.

    Science.gov (United States)

    Deprez, Sabine; Kesler, Shelli R; Saykin, Andrew J; Silverman, Daniel H S; de Ruiter, Michiel B; McDonald, Brenna C

    2018-03-01

    Cancer- and treatment-related cognitive changes have been a focus of increasing research since the early 1980s, with meta-analyses demonstrating poorer performance in cancer patients in cognitive domains including executive functions, processing speed, and memory. To facilitate collaborative efforts, in 2011 the International Cognition and Cancer Task Force (ICCTF) published consensus recommendations for core neuropsychological tests for studies of cancer populations. Over the past decade, studies have used neuroimaging techniques, including structural and functional magnetic resonance imaging (fMRI) and positron emission tomography, to examine the underlying brain basis for cancer- and treatment-related cognitive declines. As yet, however, there have been no consensus recommendations to guide researchers new to this field or to promote the ability to combine data sets. We first discuss important methodological issues with regard to neuroimaging study design, scanner considerations, and sequence selection, focusing on concerns relevant to cancer populations. We propose a minimum recommended set of sequences, including a high-resolution T1-weighted volume and a resting state fMRI scan. Additional advanced imaging sequences are discussed for consideration when feasible, including task-based fMRI and diffusion tensor imaging. Important image data processing and analytic considerations are also reviewed. These recommendations are offered to facilitate increased use of neuroimaging in studies of cancer- and treatment-related cognitive dysfunction. They are not intended to discourage investigator-initiated efforts to develop cutting-edge techniques, which will be helpful in advancing the state of the knowledge. Use of common imaging protocols will facilitate multicenter and data-pooling initiatives, which are needed to address critical mechanistic research questions.

  3. Conclusions and recommendations

    International Nuclear Information System (INIS)

    Carrette, M.

    1997-01-01

    The paper presents conclusions and recommendations at the closing session of the NEA/OECD Workshop held at Fontenay-aux-Roses on 12-14 June 1995. The conclusions refer to issues like: public reaction to foodstuffs containing radioisotope concentrations under the danger standards, possible non-adherence of manufacturers, processors, distributors, et al, to the instructions and guidance from radiation protection specialists, integration of all the food chain factors in the elaboration of the emergency intervention programs, etc. Among the most significant recommendations the following may be mentioned: 1. Differences between different intervention levels and the maximum admissible levels agreed upon by national, regional or international nutrition authorities should be further studied; 2. Problems created by the Chernobyl accident (as for instance, the methods of treatment of food chain products containing unacceptable radioactivity concentrations) are still present and must be solved; 3. Further studies should be done on the socio-cultural aspects of the communication, particularly on the information in rural environment; 4. The preventive measures in agriculture should be implemented as rapidly as possible; 5. In elaborating programmes of agriculture countermeasures, the management of contaminated media, particularly, of forests and their effect on agriculture

  4. A heterogeneous graph-based recommendation simulator

    Energy Technology Data Exchange (ETDEWEB)

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

    2013-01-01

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

  5. Semantically Enhanced Recommender Systems

    Science.gov (United States)

    Ruiz-Montiel, Manuela; Aldana-Montes, José F.

    Recommender Systems have become a significant area in the context of web personalization, given the large amount of available data. Ontologies can be widely taken advantage of in recommender systems, since they provide a means of classifying and discovering of new information about the items to recommend, about user profiles and even about their context. We have developed a semantically enhanced recommender system based on this kind of ontologies. In this paper we present a description of the proposed system.

  6. 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.

  7. From micronutrient recommendations to policy

    DEFF Research Database (Denmark)

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

    2010-01-01

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

  8. Recommendations for skin decontamination

    International Nuclear Information System (INIS)

    1989-01-01

    Further to the reecommendations for determining the surface contamination of the skin and estimating the radiation exposure of the skin after contamination (SAAS-Mitt--89-16), measures for skin decontamination are recommended. They are necessary if (1) after simple decontamination by means of water, soap and brush without damaging the skin the surface contamination limits are exceeded and the radiation exposure to be expected for the undamaged healthy skin is estimated as to high, and if (2) a wound is contaminated. To remove skin contaminations, in general universally applicable, non-aggressive decontamination means and methods are sufficient. In special cases, nuclide-specific decontamination is required taking into account the properties of the radioactive substance

  9. Research staff training in a multisite randomized clinical trial: Methods and recommendations from the Stimulant Reduction Intervention using Dosed Exercise (STRIDE) trial.

    Science.gov (United States)

    Walker, Robrina; Morris, David W; Greer, Tracy L; Trivedi, Madhukar H

    2014-01-01

    Descriptions of and recommendations for meeting the challenges of training research staff for multisite studies are limited despite the recognized importance of training on trial outcomes. The STRIDE (STimulant Reduction Intervention using Dosed Exercise) study is a multisite randomized clinical trial that was conducted at nine addiction treatment programs across the United States within the National Drug Abuse Treatment Clinical Trials Network (CTN) and evaluated the addition of exercise to addiction treatment as usual (TAU), compared to health education added to TAU, for individuals with stimulant abuse or dependence. Research staff administered a variety of measures that required a range of interviewing, technical, and clinical skills. In order to address the absence of information on how research staff are trained for multisite clinical studies, the current manuscript describes the conceptual process of training and certifying research assistants for STRIDE. Training was conducted using a three-stage process to allow staff sufficient time for distributive learning, practice, and calibration leading up to implementation of this complex study. Training was successfully implemented with staff across nine sites. Staff demonstrated evidence of study and procedural knowledge via quizzes and skill demonstration on six measures requiring certification. Overall, while the majority of staff had little to no experience in the six measures, all research assistants demonstrated ability to correctly and reliably administer the measures throughout the study. Practical recommendations are provided for training research staff and are particularly applicable to the challenges encountered with large, multisite trials.

  10. 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

  11. Recommendations to the NRC for review criteria for alternative methods of low-level radioactive waste disposal: Environmental monitoring and surveillance programs

    International Nuclear Information System (INIS)

    Denham, D.H.; Stenner, R.D.; Eddy, P.A.; Jaquish, R.E.; Ramsdell, J.V. Jr.

    1988-07-01

    Licensing of a facility for low-level radioactive waste disposal requires the review of the environmental monitoring and surveillance programs. A set of review criteria is recommended for the US Nuclear Regulatory Commission (NRC) staff to use in each monitoring phase---preoperational, operational, and post operational---for evaluating radiological and selected nonradiological parameters in proposed environmental monitoring and surveillance programs at low-level waste disposal facilities. Applicable regulations, industry standards, and technical guidance on low-level radioactive waste are noted throughout the document. In the preoperational phase, the applicant must demonstrate that the environmental monitoring program identifies radiation levels and radionuclide concentrations at the site and also provides adequate basic data on the disposal site. Data recording and statistical analyses for this phase are addressed

  12. Guidelines for pre-clinical assessment of the acetylcholine receptor-specific passive transfer myasthenia gravis model - recommendations for methods and experimental designs

    Science.gov (United States)

    Kusner, Linda L.; Losen, Mario; Vincent, Angela; Lindstrom, Jon; Tzartos, Socrates; Lazaridis, Konstantinos; Martinez-Martinez, Pilar

    2015-01-01

    Antibodies against the muscle acetylcholine receptor (AChR) are the most common cause of myasthenia gravis (MG). Passive transfer of AChR antibodies from MG patients into animals reproduces key features of human disease, including antigenic modulation of the AChR, complement-mediated damage of the neuromuscular junction, and muscle weakness. Similarly, AChR antibodies generated by active immunization in experimental autoimmune MG models can subsequently be passively transferred to other animals and induce weakness. The passive transfer model is useful to test therapeutic strategies aimed at the effector mechanism of the autoantibodies. Here we summarize published and unpublished experience using the AChR passive transfer MG model in mice, rats and rhesus monkeys, and give recommendations for the design of preclinical studies in order to facilitate translation of positive and negative results to improve MG therapies. PMID:25743217

  13. 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.

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

    International Nuclear Information System (INIS)

    Christiansen, R.L.

    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

  15. Standardization of the experimental autoimmune myasthenia gravis (EAMG) model by immunization of rats with Torpedo californica acetylcholine receptors — Recommendations for methods and experimental designs

    Science.gov (United States)

    Losen, Mario; Martinez-Martinez, Pilar; Molenaar, Peter C.; Lazaridis, Konstantinos; Tzartos, Socrates; Brenner, Talma; Duan, Rui-Sheng; Luo, Jie; Lindstrom, Jon; Kusner, Linda

    2015-01-01

    Myasthenia gravis (MG) with antibodies against the acetylcholine receptor (AChR) is characterized by a chronic, fatigable weakness of voluntary muscles. The production of autoantibodies involves the dysregulation of T cells which provide the environment for the development of autoreactive B cells. The symptoms are caused by destruction of the postsynaptic membrane and degradation of the AChR by IgG autoantibodies, predominantly of the G1 and G3 subclasses. Active immunization of animals with AChR from mammalian muscles, AChR from Torpedo or Electrophorus electric organs, and recombinant or synthetic AChR fragments generates a chronic model of MG, termed experimental autoimmune myasthenia gravis (EAMG). This model covers cellular mechanisms involved in the immune response against the AChR, e.g. antigen presentation, T cell-help and regulation, B cell selection and differentiation into plasma cells. Our aim is to define standard operation procedures and recommendations for the rat EAMG model using purified AChR from the Torpedo californica electric organ, in order to facilitate more rapid translation of preclinical proof of concept or efficacy studies into clinical trials and, ultimately, clinical practice. PMID:25796590

  16. 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...

  17. Personalized recommendation with corrected similarity

    International Nuclear Information System (INIS)

    Zhu, Xuzhen; Tian, Hui; Cai, Shimin

    2014-01-01

    Personalized recommendation has attracted a surge of interdisciplinary research. Especially, similarity-based methods in applications of real recommendation systems have achieved great success. However, the computations of similarities are overestimated or underestimated, in particular because of the defective strategy of unidirectional similarity estimation. In this paper, we solve this drawback by leveraging mutual correction of forward and backward similarity estimations, and propose a new personalized recommendation index, i.e., corrected similarity based inference (CSI). Through extensive experiments on four benchmark datasets, the results show a greater improvement of CSI in comparison with these mainstream baselines. And a detailed analysis is presented to unveil and understand the origin of such difference between CSI and mainstream indices. (paper)

  18. Do Procedures for Verbal Reporting of Thinking Have to Be Reactive? A Meta-Analysis and Recommendations for Best Reporting Methods

    Science.gov (United States)

    Fox, Mark C.; Ericsson, K. Anders; Best, Ryan

    2011-01-01

    Since its establishment, psychology has struggled to find valid methods for studying thoughts and subjective experiences. Thirty years ago, Ericsson and Simon (1980) proposed that participants can give concurrent verbal expression to their thoughts (think aloud) while completing tasks without changing objectively measurable performance (accuracy).…

  19. 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

    ... Use of Body Weight[bds3][bdsol][bds4] as the Default Method in Derivation of the Oral Reference Dose... the Oral Reference Dose'' (referred to hereafter as BW 3/4 ). This document was developed as part of... exposure. The reader is encouraged to read the document carefully, however, in order to fully understand...

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

    OpenAIRE

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

    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...

  1. 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.

  2. A general framework for intelligent recommender systems

    Directory of Open Access Journals (Sweden)

    Jose Aguilar

    2017-07-01

    Full Text Available In this paper, we propose a general framework for an intelligent recommender system that extends the concept of a knowledge-based recommender system. The intelligent recommender system exploits knowledge, learns, discovers new information, infers preferences and criticisms, among other things. For that, the framework of an intelligent recommender system is defined by the following components: knowledge representation paradigm, learning methods, and reasoning mechanisms. Additionally, it has five knowledge models about the different aspects that we can consider during a recommendation: users, items, domain, context and criticisms. The mix of the components exploits the knowledge, updates it and infers, among other things. In this work, we implement one intelligent recommender system based on this framework, using Fuzzy Cognitive Maps (FCMs. Next, we test the performance of the intelligent recommender system with specialized criteria linked to the utilization of the knowledge in order to test the versatility and performance of the framework.

  3. 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

  4. A Sentiment-Enhanced Hybrid Recommender System for Movie Recommendation: A Big Data Analytics Framework

    Directory of Open Access Journals (Sweden)

    Yibo Wang

    2018-01-01

    Full Text Available Movie recommendation in mobile environment is critically important for mobile users. It carries out comprehensive aggregation of user’s preferences, reviews, and emotions to help them find suitable movies conveniently. However, it requires both accuracy and timeliness. In this paper, a movie recommendation framework based on a hybrid recommendation model and sentiment analysis on Spark platform is proposed to improve the accuracy and timeliness of mobile movie recommender system. In the proposed approach, we first use a hybrid recommendation method to generate a preliminary recommendation list. Then sentiment analysis is employed to optimize the list. Finally, the hybrid recommender system with sentiment analysis is implemented on Spark platform. The hybrid recommendation model with sentiment analysis outperforms the traditional models in terms of various evaluation criteria. Our proposed method makes it convenient and fast for users to obtain useful movie suggestions.

  5. 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.

  6. 1990 recommendations of ICRP

    International Nuclear Information System (INIS)

    Clarke, R.H.

    1991-01-01

    The Main Commission of ICRP finalised its new recommendations during its November 1990 meeting. The recommendations will appear in the Annals of the ICRP in 1991 as Publication 60. This paper represents a personal summary of these recommendations. It covers the basic biological risk estimates and the conceptual framework of the system of radiological protection, the definition of radiation detriment and its use both in the definition of radiation quantities and in the establishment of the dose limits adopted by the Main Commissions. (author)

  7. 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.

  8. Protection and restoration of soil in mining operations which disrupt the surface of the earth, with the open pit method of working minerals (problems, obtained data and recommendations)

    Energy Technology Data Exchange (ETDEWEB)

    Debelak, M.

    1981-01-01

    A critical analysis is made of the current state and the ways to solve the problem of protection and restoration of the sections of the earth's surface and sources of drinking water which can be disrupted with the open pit method of working minerals. The need is advanced for creating a system of coordination and planning of the activity of all the organizations associated with working minerals, restoration operations and inspection of them. The order of preparation for recultivation during mining operations (in particular, storage of the fertile ground) and conducting them after the end of mining are described.

  9. Why do health technology assessment coverage recommendations for the same drugs differ across settings? Applying a mixed methods framework to systematically compare orphan drug decisions in four European countries.

    Science.gov (United States)

    Nicod, Elena

    2017-07-01

    Health technology assessment (HTA) coverage recommendations differ across countries for the same drugs. Unlike previous studies, this study adopts a mixed methods research design to investigate, in a systematic manner, these differences. HTA recommendations for ten orphan drugs appraised in England (NICE), Scotland (SMC), Sweden (TLV) and France (HAS) (N = 35) were compared using a validated methodological framework that breaks down these complex decision processes into stages facilitating their understanding, analysis and comparison, namely: (1) the clinical/cost-effectiveness evidence, (2) its interpretation (e.g. part of the deliberative process) and (3) influence on the final decision. This allowed qualitative and quantitative identification of the criteria driving recommendations and highlighted cross-country differences. Six out of ten drugs received diverging HTA recommendations. Reasons for cross-country differences included heterogeneity in the evidence appraised, in the interpretation of the same evidence, and in the different ways of dealing with the same uncertainty. These may have been influenced by agency-specific evidentiary, risk and value preferences, or stakeholder input. "Other considerations" (e.g. severity, orphan status) and other decision modulators (e.g. patient access schemes, lower discount rates, restrictions, re-assessments) also rendered uncertainty and cost-effectiveness estimates more acceptable. The different HTA approaches (clinical versus cost-effectiveness) and ways identified of dealing with orphan drug particularities also had implications on the final decisions. This research contributes to better understanding the drivers of these complex decisions and why countries make different decisions. It also contributed to identifying those factors beyond the standard clinical and cost-effectiveness tools used in HTA, and their role in shaping these decisions.

  10. 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...

  11. 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

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

    International Nuclear Information System (INIS)

    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

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

    International Nuclear Information System (INIS)

    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

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

    International Nuclear Information System (INIS)

    Mattie, Patrick D.; McNeish, Jerry A.; Sevougian, S. David; Andrews, Robert W.

    2001-01-01

    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

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

    International Nuclear Information System (INIS)

    Mihailidis, D

    2015-01-01

    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

  17. BROND: USSR recommended evaluated neutron data library

    International Nuclear Information System (INIS)

    Manokhin, V.N.

    1988-03-01

    BROND is the recommended evaluated data library of the USSR for neutron induced nuclear reactions. It is a computer library recorded on magnetic tape presented in the internationally recommended format ENDF-5. It contains 65 files with recommended data for 65 elements or isotopes. For each file the present report gives a summary documentation on the contents, the evaluation methods and the originators of the files. (author). Refs

  18. 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. Wiley Periodicals, Inc. © 2016 International League Against Epilepsy.

  19. Non-protein amino acids in Australian acacia seed: implications for food security and recommended processing methods to reduce djenkolic acid.

    Science.gov (United States)

    Boughton, Berin A; Reddy, Priyanka; Boland, Martin P; Roessner, Ute; Yates, Peter

    2015-07-15

    Seed of Australian acacia species, Acacia colei, Acacia elecantha, Acacia torulosa, Acacia turmida and Acacia saligna, were analysed for the presence of toxic non-protein amino acids and the levels of essential amino acids. Amines were derivatised with 6-aminoquinolyl-N-hydroxysuccinimidyl carbamate before analysis using liquid chromatography electrospray ionisation triple quadrupole mass spectrometry (LC-ESI-QQQ-MS). Multiple reaction monitoring (MRM) with optimised transitions and collision energies for each analyte were employed. The known nephrotoxic compound djenkolic acid was found to be present at elevated levels in all species tested. The lowest levels were in A. colei (0.49% w/w) and the highest in A. saligna (1.85% w/w). Observed levels of djenkolic acid are comparable to measured and reported levels found in the djenkol bean. Subsequent testing of seed processing methods showed djenkolic acid levels can be significantly reduced by over 90% by dry roasting at 180 °C rendering the seed safe for human consumption. Copyright © 2015 Elsevier Ltd. All rights reserved.

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

    OpenAIRE

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

    2015-01-01

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

  1. 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.

  2. [Organizational recommendations for day surgery].

    Science.gov (United States)

    Bontemps, Gilles

    2014-03-01

    In France, the delayed development of day surgery compared to other countries led the ANAP and the HAS in 2011 to enter into a joint work program to provide some reference guide for hospitals to change their practices to outpatient. In this context, organizational guidelines and operational tools were published in May 2013. The method of construction of the recommendations resulting from an original work that combined a three-fold approach: field vision by identifying the highlights of 15 hospitals selected for their representative performance and analyzing the risks of five voluntary hospitals, mobilization organizational theories from the social sciences, using 53 professional experts. The work concluded on 16 organizational recommendations under four forms (basic principles, strategic elements, operational elements and perspectives). These recommendations are accompanied by tools and guides diagnosis and implementation, as well as productions for further reflection. These organizational recommendations confirmed the specificity of day surgery, which is not related to the act, but to the organization, management and optimization of different flows of a hospital (patient flow, professional flows, logistical, informational…). The performance of a day surgery organization is linked to its ability to control its flow and anticipation. Copyright © 2013 Elsevier Masson SAS. All rights reserved.

  3. Summary (and) recommendations

    International Nuclear Information System (INIS)

    1992-01-01

    This report looks at the Health and Safety record at the Atomic Weapons Establishment at Aldermaston. The last outside report was by Pochin in 1978 which recommended that staffing for health physicists and maintenance staff should be increased and that some buildings where solid and liquid radioactive wastes were processed should be replaced. A new facility to process contaminated heavy equipment was also recommended. This report finds that none of the recommendations have been fully implemented. It also lists accidents, fires and worker contamination. It is concluded that some of the problems are that nuclear weapons production is inherently unsafe and cannot be made safe, that the secrecy surrounding the establishments' safety record is not good for improving it and finally the report calls for production at Aldermaston to be halted. (UK)

  4. 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....... 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...

  5. 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...... the design, conduct and analytical approaches to RCTs evaluating the preventative effect of joint injury prevention strategies. Recommendations regarding the design, conduct, and reporting of RCTs evaluating injury prevention interventions were established based on the consensus of nine researchers...... internationally with expertise in epidemiology, injury prevention and/or osteoarthritis (OA). Input and resultant consensus was established through teleconference, face to face and email correspondence over a 1 year period. Recommendations for injury prevention RCTs include context specific considerations...

  6. Recommending Multidimensional Queries

    Science.gov (United States)

    Giacometti, Arnaud; Marcel, Patrick; Negre, Elsa

    Interactive analysis of datacube, in which a user navigates a cube by launching a sequence of queries is often tedious since the user may have no idea of what the forthcoming query should be in his current analysis. To better support this process we propose in this paper to apply a Collaborative Work approach that leverages former explorations of the cube to recommend OLAP queries. The system that we have developed adapts Approximate String Matching, a technique popular in Information Retrieval, to match the current analysis with the former explorations and help suggesting a query to the user. Our approach has been implemented with the open source Mondrian OLAP server to recommend MDX queries and we have carried out some preliminary experiments that show its efficiency for generating effective query recommendations.

  7. 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. Copyright © 2016 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc. All rights reserved.

  8. Review of ICRP recommendations

    International Nuclear Information System (INIS)

    Goldfinch, E.P.

    1987-01-01

    Events in both the scientific world and in the public domain have added pressure to review the recommendations of the ICRP on which radiation protection legislation in most countries is founded. A brief editorial pleads for clarity in ICRP recommendations, suggests the use solely of cumulative with age individual occupational dose limits, suggests that collective doses including both occupational and to the public should be kept as low as reasonably achievable, judged on quantitative economic grounds, and suggests the setting of a probability for serious accidents which may be disregarded in planning. (UK)

  9. Recommender system based on scarce information mining.

    Science.gov (United States)

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

    2017-09-01

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

  10. Privacy enhanced recommender system

    NARCIS (Netherlands)

    Erkin, Zekeriya; Erkin, Zekeriya; Beye, Michael; Veugen, Thijs; Lagendijk, Reginald L.

    2010-01-01

    Recommender systems are widely used in online applications since they enable personalized service to the users. The underlying collaborative filtering techniques work on user’s data which are mostly privacy sensitive and can be misused by the service provider. To protect the privacy of the users, we

  11. Recommendations for Alternative Credit.

    Science.gov (United States)

    Lenderman, Ed; And Others

    Following a review of the mathematics topics taught in accounting, electronics, auto, food and clothing, and metals courses at Linn-Benton Community College, Albany, Oregon, recommendations were made to grant one semester of mathematics credit for completing a two-year sequence of these courses. The other required semester of mathematics should be…

  12. Towards Geosocial Recommender Systems

    NARCIS (Netherlands)

    de Graaff, V.; van Keulen, Maurice; de By, R.A.; de By, 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

  13. Search and Recommendation

    DEFF Research Database (Denmark)

    Bogers, Toine

    2014-01-01

    In just a little over half a century, the field of information retrieval has experienced spectacular growth and success, with IR applications such as search engines becoming a billion-dollar industry in the past decades. Recommender systems have seen an even more meteoric rise to success with wide...

  14. Chapter 10: Management recommendations

    Science.gov (United States)

    Deborah M. Finch; Janie Agyagos; Tracy McCarthey; Robert M. Marshall; Scott H. Stoleson; Mary J. Whitfield

    2000-01-01

    This chapter was developed over a series of meetings using a group-consensus process. Our recommendations are based on published results, on information compiled in the previous chapters, on expert opinion, and on unpublished data of conservation team members. This chapter is available as temporary guidance until the Recovery Plan for the southwestern willow flycatcher...

  15. Privacy in Recommender Systems

    NARCIS (Netherlands)

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

    In many online applications, the range of content that is offered to users is so wide that a need for automated recommender systems arises. Such systems can provide a personalized selection of relevant items to users. In practice, this can help people find entertaining movies, boost sales through

  16. The ICRP 2007 recommendations

    International Nuclear Information System (INIS)

    Streffer, C.

    2007-01-01

    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

  17. 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

  18. 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.

  19. User Oriented Trajectory Search for Trip Recommendation

    KAUST Repository

    Ding, Ruogu

    2012-01-01

    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

  20. 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.

  1. The second iteration of the Systems Prioritization Method: A systems prioritization and decision-aiding tool for the Waste Isolation Pilot Plant: Volume 3, Analysis for final programmatic recommendations

    International Nuclear Information System (INIS)

    Prindle, N.H.; Boak, D.M.; Weiner, R.F.

    1996-05-01

    Systems Prioritization Method (SPM) is a decision-aiding tool developed by Sandia National Laboratories for the US DOE Carlsbad Area Office (DOE/CAO). This tool provides an analytical basis for programmatic decision making for the Waste Isolation Pilot Plant (WIPP). SPM integrates decision-analysis techniques, performance,a nd risk-assessment tools, and advanced information technology. Potential outcomes of proposed activities and combination of activities are used to calculate a probability of demonstrating compliance (PDC) with selected regulations. The results are presented in a decision matrix showing cost, duration, and maximum PDC for all activities in a given cost and duration category. This is the third and final volume in the series which presents the analysis for final programmatic recommendations

  2. The second iteration of the Systems Prioritization Method: A systems prioritization and decision-aiding tool for the Waste Isolation Pilot Plant: Volume 3, Analysis for final programmatic recommendations

    Energy Technology Data Exchange (ETDEWEB)

    Prindle, N.H.; Boak, D.M.; Weiner, R.F. [and others

    1996-05-01

    Systems Prioritization Method (SPM) is a decision-aiding tool developed by Sandia National Laboratories for the US DOE Carlsbad Area Office (DOE/CAO). This tool provides an analytical basis for programmatic decision making for the Waste Isolation Pilot Plant (WIPP). SPM integrates decision-analysis techniques, performance,a nd risk-assessment tools, and advanced information technology. Potential outcomes of proposed activities and combination of activities are used to calculate a probability of demonstrating compliance (PDC) with selected regulations. The results are presented in a decision matrix showing cost, duration, and maximum PDC for all activities in a given cost and duration category. This is the third and final volume in the series which presents the analysis for final programmatic recommendations.

  3. Badali recommends simplified bills

    International Nuclear Information System (INIS)

    Anon

    2003-01-01

    A report on the variety of retail electricity bills across the province, authored by Salvatore Badali of Deloitte Consulting, was recently released by the Ontario Government. The report was commissioned by the Government to examine the underlying reasons for the significant format differences and the wide variation of fixed and variable charges among the approximately 95 local electricity distribution companies across the province. Regarding the appropriateness of the charges the report recommends common definitions for local distribution company (LDC) fixed and variable costs, and consideration of options for reducing LDC charges, mainly by consolidating the sector and sharing such services as customer billing, accounting and out sourcing operations. Seven recommendations deal with bill simplification. These include bills that are clear and easy to read and provide sufficient information for consumers to verify charges; promote energy conservation, e.g. by including historical information; allow comparisons between retail suppliers and distributors; accommodate revenue collection, marketing needs and other billing services. The report also recommends clearly defined and consistently used terminology for standardized line items, suggests ways to provide consumer information in a form useful for making energy conservation decisions, development of an LDC scorecard to enable stake holders to compare their own LDCs with LDCs around the province, creation of a conservation and bill calculation website, consideration of further use of shared services, and solutions to address the removal of line losses from invoices

  4. Badali recommends simplified bills

    Energy Technology Data Exchange (ETDEWEB)

    Anon

    2003-04-01

    A report on the variety of retail electricity bills across the province, authored by Salvatore Badali of Deloitte Consulting, was recently released by the Ontario Government. The report was commissioned by the Government to examine the underlying reasons for the significant format differences and the wide variation of fixed and variable charges among the approximately 95 local electricity distribution companies across the province. Regarding the appropriateness of the charges the report recommends common definitions for local distribution company (LDC) fixed and variable costs, and consideration of options for reducing LDC charges, mainly by consolidating the sector and sharing such services as customer billing, accounting and out sourcing operations. Seven recommendations deal with bill simplification. These include bills that are clear and easy to read and provide sufficient information for consumers to verify charges; promote energy conservation, e.g. by including historical information; allow comparisons between retail suppliers and distributors; accommodate revenue collection, marketing needs and other billing services. The report also recommends clearly defined and consistently used terminology for standardized line items, suggests ways to provide consumer information in a form useful for making energy conservation decisions, development of an LDC scorecard to enable stake holders to compare their own LDCs with LDCs around the province, creation of a conservation and bill calculation website, consideration of further use of shared services, and solutions to address the removal of line losses from invoices.

  5. Mobile Application Recommender System

    OpenAIRE

    Davidsson, Christoffer

    2010-01-01

    With the amount of mobile applications available increasing rapidly, users have to put a lot of effort into finding applications of interest. The purpose of this thesis is to investigate how to aid users in the process of discovering new mobile applications by providing them with recommendations. A prototype system is then built as a proof-of-concept. The work of the thesis is divided into three phases where the aim of the first phase is to study related work and related systems to identify p...

  6. 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. Copyright © 2016.

  7. The new ICRP recommendations

    International Nuclear Information System (INIS)

    Schlesinger, T.

    1977-01-01

    The new ICRP recommendations are based on the concept of risk. The doses received by workers have to be justified and kept as low as practically achievable. The acceptable annual occupational risk is of the order of 10 -4 . This corresponds to an average annual dose equivalent of about 5 mSv(0.5 Rem). The annual dose equivalent limit for whole body irradiation will remain 50 mSv/year (5 Rem/year) provided that the average is about 1/10th of this value. The concept of the critical organ is abandoned and is replaced by the concept of equidetriment. (author)

  8. 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.

  9. Recommender Systems in Commercial Use

    OpenAIRE

    Aldrich, Susan E.

    2011-01-01

    Commercial recommender systems are deployed by marketing teams to increase revenue and/or personalize user experience. Marketers evaluate recommender systems not on its algorithms but on how well the vendor‘s expertise and interfaces will support achieving business goals. Driven by a business model that pays based on recommendation success, vendors guide clients through continuous optimization of recommendations. While recommender technology is mature, the solutions and market are still young...

  10. 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...

  11. Mining and representing recommendations in actively evolving recommender systems

    DEFF Research Database (Denmark)

    Assent, Ira

    2010-01-01

    Recommender systems provide an automatic means of filtering out interesting items, usually based on past similarity of user ratings. In previous work, we have suggested a model that allows users to actively build a recommender network. Users express trust, obtain transparency, and grow (anonymous......) recommender connections. In this work, we propose mining such active systems to generate easily understandable representations of the recommender network. Users may review these representations to provide active feedback. This approach further enhances the quality of recommendations, especially as topics...... of interest change over time. Most notably, it extends the amount of control users have over the model that the recommender network builds of their interests....

  12. Training Research: Practical Recommendations for Maximum Impact

    Science.gov (United States)

    Beidas, Rinad S.; Koerner, Kelly; Weingardt, Kenneth R.; Kendall, Philip C.

    2011-01-01

    This review offers practical recommendations regarding research on training in evidence-based practices for mental health and substance abuse treatment. When designing training research, we recommend: (a) aligning with the larger dissemination and implementation literature to consider contextual variables and clearly defining terminology, (b) critically examining the implicit assumptions underlying the stage model of psychotherapy development, (c) incorporating research methods from other disciplines that embrace the principles of formative evaluation and iterative review, and (d) thinking about how technology can be used to take training to scale throughout all stages of a training research project. An example demonstrates the implementation of these recommendations. PMID:21380792

  13. New recommendations for building in tropical climates

    Energy Technology Data Exchange (ETDEWEB)

    Waal, H.B. de (ISOVER BV, Cappelle a/d IJssel (Netherlands))

    1993-07-01

    Traditional recommendations for building a thermally efficient or comfortable building in a tropical climate are briefly summarized. They suffer from three main drawbacks; they are not quantitative, partly incorrect and only for two climates; the hot dry and the warm humid. A new climate classification, made up of forty tropical climates is presented. Eight building elements, which affect the thermal system of a building, are distinguished. The method by which the new recommendations are derived, is discussed. The new recommendations are briefly presented. (Author)

  14. 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 [HbA 1c ] 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 HbA 1c 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 HbA 1c 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

  15. An improved recommendation algorithm via weakening indirect linkage effect

    International Nuclear Information System (INIS)

    Chen Guang; Qiu Tian; Shen Xiao-Quan

    2015-01-01

    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. (paper)

  16. Conclusions and recommendations

    International Nuclear Information System (INIS)

    1984-01-01

    The FAO/IAEA/GSF/SIDA Co-ordinated Research Programme on Cereal Grain Protein Improvement by Nuclear Techniques was a follow-up to the FAO/IAEA/GSF Co-ordinated Research Programme on the Use of Nuclear Techniques for Seed Protein Improvement. It was initiated in 1969 and ended in 1981. The objectives of the meeting were to review and evaluate the achievements of the current and previous programmes in order to draw conclusions on the possibility of genetic improvement of cereal grain protein using nuclear techniques, to identify unsolved problems and to discuss and propose possible approaches for their solution. Through reviews and discussions, conclusions and recommendations were made by the participants

  17. Urgent recommendation. Interim report

    International Nuclear Information System (INIS)

    Nakano, Masayuki

    2000-01-01

    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 regulation

  18. 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.

  19. 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...

  20. Recommended Vaccines for Healthcare Workers

    Science.gov (United States)

    ... Vaccination Resources for Healthcare Professionals Recommended Vaccines for Healthcare Workers Recommend on Facebook Tweet Share Compartir On ... for More Information Resources for Those Vaccinating HCWs Healthcare workers (HCWs) are at risk for exposure to ...

  1. 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

  2. Roussely report: recommendations

    International Nuclear Information System (INIS)

    Anon.

    2010-01-01

    A summary of the Roussely report on how to reinforce and support French nuclear industry, has been made public. This report recommends a series of measures. The main measures are: 1) the quick achievement in the best conditions possible of the Olkiluoto plant, 2) to assure the construction of Flamanville-3 under the best conditions of cost and delay, 3) to benefit totally from the feedback experiences of the construction of Olkiluoto and Flamanville-3 for the construction of Penly-3 and of the English program of EPR, 4) to confirm EDF as a leader for French industrial bids proposing nuclear power plants, 5) to diversify the offer of reactors for international bids, 6) to set a common body of rules for all the employees working in the nuclear sector in France, 7) to support the extension of service life of power reactors up to 60 years if safety is not at stake, 8) to promote French safety regulations at an international scale, and 9) to create a university of nuclear engineering. (A.C.)

  3. Site Recommendation Subsurface Layout

    International Nuclear Information System (INIS)

    C.L. Linden

    2000-01-01

    The purpose of this analysis is to develop a Subsurface Facility layout that is capable of accommodating the statutory capacity of 70,000 metric tons of uranium (MTU), as well as an option to expand the inventory capacity, if authorized, to 97,000 MTU. The layout configuration also requires a degree of flexibility to accommodate potential changes in site conditions or program requirements. The objective of this analysis is to provide a conceptual design of the Subsurface Facility sufficient to support the development of the Subsurface Facility System Description Document (CRWMS M andO 2000e) and the ''Emplacement Drift System Description Document'' (CRWMS M andO 2000i). As well, this analysis provides input to the Site Recommendation Consideration Report. The scope of this analysis includes: (1) Evaluation of the existing facilities and their integration into the Subsurface Facility design. (2) Identification and incorporation of factors influencing Subsurface Facility design, such as geological constraints, thermal loading, constructibility, subsurface ventilation, drainage control, radiological considerations, and the Test and Evaluation Facilities. (3) Development of a layout showing an available area in the primary area sufficient to support both the waste inventories and individual layouts showing the emplacement area required for 70,000 MTU and, if authorized, 97,000 MTU

  4. Justification for recommended uncertainties

    International Nuclear Information System (INIS)

    Pronyaev, V.G.; Badikov, S.A.; Carlson, A.D.

    2007-01-01

    -2 MeV are discussed. The extent to which new measurements and evaluation methodologies will lead to revised results that may differ significantly from the presently recommended data is imponderable. While the present standard values are likely to be closer to the truth than earlier versions, and the given errors are reasonably well justified in the context of contemporary data and evaluation methodology, a healthy open minded attitude remains the most sensible approach, consistent with the fundamental spirit of scientific endeavour and enquiry

  5. 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.

  6. Clustering recommendations to compute agent reputation

    Science.gov (United States)

    Bedi, Punam; Kaur, Harmeet

    2005-03-01

    Traditional centralized approaches to security are difficult to apply to multi-agent systems which are used nowadays in e-commerce applications. Developing a notion of trust that is based on the reputation of an agent can provide a softer notion of security that is sufficient for many multi-agent applications. Our paper proposes a mechanism for computing reputation of the trustee agent for use by the trustier agent. The trustier agent computes the reputation based on its own experience as well as the experience the peer agents have with the trustee agents. The trustier agents intentionally interact with the peer agents to get their experience information in the form of recommendations. We have also considered the case of unintentional encounters between the referee agents and the trustee agent, which can be directly between them or indirectly through a set of interacting agents. The clustering is done to filter off the noise in the recommendations in the form of outliers. The trustier agent clusters the recommendations received from referee agents on the basis of the distances between recommendations using the hierarchical agglomerative method. The dendogram hence obtained is cut at the required similarity level which restricts the maximum distance between any two recommendations within a cluster. The cluster with maximum number of elements denotes the views of the majority of recommenders. The center of this cluster represents the reputation of the trustee agent which can be computed using c-means algorithm.

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

    NARCIS (Netherlands)

    A. Said (Alan); A. Bellogín Kouki (Alejandro); A.P. de Vries (Arjen)

    2013-01-01

    htmlabstractThe 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

  8. 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.

  9. Collaborative Filtering Recommendation on Users' Interest Sequences.

    Directory of Open Access Journals (Sweden)

    Weijie Cheng

    Full Text Available As an important factor for improving recommendations, time information has been introduced to model users' dynamic preferences in many papers. However, the sequence of users' behaviour is rarely studied in recommender systems. Due to the users' unique behavior evolution patterns and personalized interest transitions among items, users' similarity in sequential dimension should be introduced to further distinguish users' preferences and interests. In this paper, we propose a new collaborative filtering recommendation method based on users' interest sequences (IS that rank users' ratings or other online behaviors according to the timestamps when they occurred. This method extracts the semantics hidden in the interest sequences by the length of users' longest common sub-IS (LCSIS and the count of users' total common sub-IS (ACSIS. Then, these semantics are utilized to obtain users' IS-based similarities and, further, to refine the similarities acquired from traditional collaborative filtering approaches. With these updated similarities, transition characteristics and dynamic evolution patterns of users' preferences are considered. Our new proposed method was compared with state-of-the-art time-aware collaborative filtering algorithms on datasets MovieLens, Flixster and Ciao. The experimental results validate that the proposed recommendation method is effective and outperforms several existing algorithms in the accuracy of rating prediction.

  10. Collaborative Filtering Recommendation on Users' Interest Sequences.

    Science.gov (United States)

    Cheng, Weijie; Yin, Guisheng; Dong, Yuxin; Dong, Hongbin; Zhang, Wansong

    2016-01-01

    As an important factor for improving recommendations, time information has been introduced to model users' dynamic preferences in many papers. However, the sequence of users' behaviour is rarely studied in recommender systems. Due to the users' unique behavior evolution patterns and personalized interest transitions among items, users' similarity in sequential dimension should be introduced to further distinguish users' preferences and interests. In this paper, we propose a new collaborative filtering recommendation method based on users' interest sequences (IS) that rank users' ratings or other online behaviors according to the timestamps when they occurred. This method extracts the semantics hidden in the interest sequences by the length of users' longest common sub-IS (LCSIS) and the count of users' total common sub-IS (ACSIS). Then, these semantics are utilized to obtain users' IS-based similarities and, further, to refine the similarities acquired from traditional collaborative filtering approaches. With these updated similarities, transition characteristics and dynamic evolution patterns of users' preferences are considered. Our new proposed method was compared with state-of-the-art time-aware collaborative filtering algorithms on datasets MovieLens, Flixster and Ciao. The experimental results validate that the proposed recommendation method is effective and outperforms several existing algorithms in the accuracy of rating prediction.

  11. Collaborative Filtering Recommendation on Users’ Interest Sequences

    Science.gov (United States)

    Cheng, Weijie; Yin, Guisheng; Dong, Yuxin; Dong, Hongbin; Zhang, Wansong

    2016-01-01

    As an important factor for improving recommendations, time information has been introduced to model users’ dynamic preferences in many papers. However, the sequence of users’ behaviour is rarely studied in recommender systems. Due to the users’ unique behavior evolution patterns and personalized interest transitions among items, users’ similarity in sequential dimension should be introduced to further distinguish users’ preferences and interests. In this paper, we propose a new collaborative filtering recommendation method based on users’ interest sequences (IS) that rank users’ ratings or other online behaviors according to the timestamps when they occurred. This method extracts the semantics hidden in the interest sequences by the length of users’ longest common sub-IS (LCSIS) and the count of users’ total common sub-IS (ACSIS). Then, these semantics are utilized to obtain users’ IS-based similarities and, further, to refine the similarities acquired from traditional collaborative filtering approaches. With these updated similarities, transition characteristics and dynamic evolution patterns of users’ preferences are considered. Our new proposed method was compared with state-of-the-art time-aware collaborative filtering algorithms on datasets MovieLens, Flixster and Ciao. The experimental results validate that the proposed recommendation method is effective and outperforms several existing algorithms in the accuracy of rating prediction. PMID:27195787

  12. 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...

  13. 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....

  14. 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...... an evaluation of four existing knowledge classification schemes with respect to these requirements. This evaluation helped us identify a classification scheme, which we have implemented in the current version of the Wikipedia Recommender System....... 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...

  15. 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...... an evaluation of four existing knowledge classification schemes with respect to these requirements. This evaluation helped us identify a classification scheme, which we have implemented in the current version of the Wikipedia Recommender System....... 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...

  16. Recommendations for epidemiological studies on COPD

    DEFF Research Database (Denmark)

    Bakke, P S; Rönmark, E; Eagan, T

    2011-01-01

    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...... 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...

  17. 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.

  18. An Interactive Personalized Recommendation System Using the Hybrid Algorithm Model

    Directory of Open Access Journals (Sweden)

    Yan Guo

    2017-10-01

    Full Text Available With the rapid development of e-commerce, the contradiction between the disorder of business information and customer demand is increasingly prominent. This study aims to make e-commerce shopping more convenient, and avoid information overload, by an interactive personalized recommendation system using the hybrid algorithm model. The proposed model first uses various recommendation algorithms to get a list of original recommendation results. Combined with the customer’s feedback in an interactive manner, it then establishes the weights of corresponding recommendation algorithms. Finally, the synthetic formula of evidence theory is used to fuse the original results to obtain the final recommendation products. The recommendation performance of the proposed method is compared with that of traditional methods. The results of the experimental study through a Taobao online dress shop clearly show that the proposed method increases the efficiency of data mining in the consumer coverage, the consumer discovery accuracy and the recommendation recall. The hybrid recommendation algorithm complements the advantages of the existing recommendation algorithms in data mining. The interactive assigned-weight method meets consumer demand better and solves the problem of information overload. Meanwhile, our study offers important implications for e-commerce platform providers regarding the design of product recommendation systems.

  19. Teacher Leadership: Federal Policy Recommendations

    Science.gov (United States)

    Gran, Jackie; Young, Margaret; Broin, Alexandra

    2015-01-01

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

  20. Improved collaborative filtering recommendation algorithm of similarity measure

    Science.gov (United States)

    Zhang, Baofu; Yuan, Baoping

    2017-05-01

    The Collaborative filtering recommendation algorithm is one of the most widely used recommendation algorithm in personalized recommender systems. The key is to find the nearest neighbor set of the active user by using similarity measure. However, the methods of traditional similarity measure mainly focus on the similarity of user common rating items, but ignore the relationship between the user common rating items and all items the user rates. And because rating matrix is very sparse, traditional collaborative filtering recommendation algorithm is not high efficiency. In order to obtain better accuracy, based on the consideration of common preference between users, the difference of rating scale and score of common items, this paper presents an improved similarity measure method, and based on this method, a collaborative filtering recommendation algorithm based on similarity improvement is proposed. Experimental results show that the algorithm can effectively improve the quality of recommendation, thus alleviate the impact of data sparseness.

  1. USGEO DMWG Cloud Computing Recommendations

    Science.gov (United States)

    de la Beaujardiere, J.; McInerney, M.; Frame, M. T.; Summers, C.

    2017-12-01

    The US Group on Earth Observations (USGEO) Data Management Working Group (DMWG) has been developing Cloud Computing Recommendations for Earth Observations. This inter-agency report is currently in draft form; DMWG hopes to have released the report as a public Request for Information (RFI) by the time of AGU. The recommendations are geared toward organizations that have already decided to use the Cloud for some of their activities (i.e., the focus is not on "why you should use the Cloud," but rather "If you plan to use the Cloud, consider these suggestions.") The report comprises Introductory Material, including Definitions, Potential Cloud Benefits, and Potential Cloud Disadvantages, followed by Recommendations in several areas: Assessing When to Use the Cloud, Transferring Data to the Cloud, Data and Metadata Contents, Developing Applications in the Cloud, Cost Minimization, Security Considerations, Monitoring and Metrics, Agency Support, and Earth Observations-specific recommendations. This talk will summarize the recommendations and invite comment on the RFI.

  2. Recommendation System for Adaptive Learning.

    Science.gov (United States)

    Chen, Yunxiao; Li, Xiaoou; Liu, Jingchen; Ying, Zhiliang

    2018-01-01

    An adaptive learning system aims at providing instruction tailored to the current status of a learner, differing from the traditional classroom experience. The latest advances in technology make adaptive learning possible, which has the potential to provide students with high-quality learning benefit at a low cost. A key component of an adaptive learning system is a recommendation system, which recommends the next material (video lectures, practices, and so on, on different skills) to the learner, based on the psychometric assessment results and possibly other individual characteristics. An important question then follows: How should recommendations be made? To answer this question, a mathematical framework is proposed that characterizes the recommendation process as a Markov decision problem, for which decisions are made based on the current knowledge of the learner and that of the learning materials. In particular, two plain vanilla systems are introduced, for which the optimal recommendation at each stage can be obtained analytically.

  3. 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.

    Science.gov (United States)

    Lonsdale, Chris; Hall, Amanda M; Williams, Geoffrey C; McDonough, Suzanne M; Ntoumanis, Nikos; Murray, Aileen; Hurley, Deirdre A

    2012-06-15

    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. 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 they will not be told if their physiotherapist has

  4. The new ICRP general recommendations

    International Nuclear Information System (INIS)

    Sasaki, Y.; Lochard, J.; Holm, L.E.; Niwa, O.; Ishigure, N.; Kosako, T.; Kai, M.

    2007-01-01

    The new draft ICRP recommendations was presented by the ICRP chair, Professor Lars-Eric Holm. His presentation was followed by presentations by Japanese members of the various (CRP committees, discussing their views of the draft recommendations based on their own technical experience. After these presentations, questions from the floor raised many of the key issues of the conference: dose constrains, the LNT hypothesis, dose bands, etc. This showed that the conference participants had carefully and completely read the draft, and were very interested in building a final ICRP recommendation that appropriately addresses all their concerns. These issues were also discussed throughout the entire conference. (author)

  5. 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.

  6. Chapter 6: Conclusions and recommendations

    International Nuclear Information System (INIS)

    1995-01-01

    This chapter provides a brief summary of conclusions with respect to project implementation issues. Furthermore, the chapter contains recommendations on future applications of the modelling system and on water resources management in the project area

  7. TOURISM RECOMMENDATION SYSTEM: EMPIRICAL INVESTIGATION

    OpenAIRE

    Biljana PETREVSKA; 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...

  8. 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)......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)...

  9. Hybrid context aware recommender systems

    Science.gov (United States)

    Jain, Rajshree; Tyagi, Jaya; Singh, Sandeep Kumar; Alam, Taj

    2017-10-01

    Recommender systems and context awareness is currently a vital field of research. Most hybrid recommendation systems implement content based and collaborative filtering techniques whereas this work combines context and collaborative filtering. The paper presents a hybrid context aware recommender system for books and movies that gives recommendations based on the user context as well as user or item similarity. It also addresses the issue of dimensionality reduction using weighted pre filtering based on dynamically entered user context and preference of context. This unique step helps to reduce the size of dataset for collaborative filtering. Bias subtracted collaborative filtering is used so as to consider the relative rating of a particular user and not the absolute values. Cosine similarity is used as a metric to determine the similarity between users or items. The unknown ratings are calculated and evaluated using MSE (Mean Squared Error) in test and train datasets. The overall process of recommendation has helped to personalize recommendations and give more accurate results with reduced complexity in collaborative filtering.

  10. Clinical practice recommendations for depression.

    Science.gov (United States)

    Malhi, G S; Adams, D; Porter, R; Wignall, A; Lampe, L; O'Connor, N; Paton, M; Newton, L A; Walter, G; Taylor, A; Berk, M; Mulder, R T

    2009-01-01

    To provide clinically relevant evidence-based recommendations for the management of depression in adults that are informative, easy to assimilate and facilitate clinical decision making. A comprehensive literature review of over 500 articles was undertaken using electronic database search engines (e.g. MEDLINE, PsychINFO and Cochrane reviews). In addition articles, book chapters and other literature known to the authors were reviewed. The findings were then formulated into a set of recommendations that were developed by a multidisciplinary team of clinicians who routinely deal with mood disorders. The recommendations then underwent consultative review by a broader advisory panel that included experts in the field, clinical staff and patient representatives. The clinical practice recommendations for depression (Depression CPR) summarize evidence-based treatments and provide a synopsis of recommendations relating to each phase of the illness. They are designed for clinical use and have therefore been presented succinctly in an innovative and engaging manner that is clear and informative. These up-to-date recommendations provide an evidence-based framework that incorporates clinical wisdom and consideration of individual factors in the management of depression. Further, the novel style and practical approach should promote uptake and implementation.

  11. Americans do not meet federal dietary recommendations.

    Science.gov (United States)

    Krebs-Smith, Susan M; Guenther, Patricia M; Subar, Amy F; Kirkpatrick, Sharon I; Dodd, Kevin W

    2010-10-01

    A longstanding goal of dietary surveillance has been to estimate the proportion of the population with intakes above or below a target, such as a recommended level of intake. However, until now, statistical methods for assessing the alignment of food intakes with recommendations have been lacking. The purposes of this study were to demonstrate the National Cancer Institute's method of estimating the distribution of usual intake of foods and determine the proportion of the U.S. population who does not meet federal dietary recommendations. Data were obtained from the 2001-2004 NHANES for 16,338 persons, aged 2 y and older. Quantities of foods reported on 24-h recalls were translated into amounts of various food groups using the MyPyramid Equivalents Database. Usual dietary intake distributions were modeled, accounting for sequence effect, weekend/weekday effect, sex, age, poverty income ratio, and race/ethnicity. The majority of the population did not meet recommendations for all of the nutrient-rich food groups, except total grains and meat and beans. Concomitantly, overconsumption of energy from solid fats, added sugars, and alcoholic beverages ("empty calories") was ubiquitous. Over 80% of persons age ≥ 71 y and over 90% of all other sex-age groups had intakes of empty calories that exceeded the discretionary calorie allowances. In conclusion, nearly the entire U.S. population consumes a diet that is not on par with recommendations. These findings add another piece to the rather disturbing picture that is emerging of a nation's diet in crisis.

  12. 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).

  13. Ada developers' supplement to the recommended approach

    Science.gov (United States)

    Kester, Rush; Landis, Linda

    1993-01-01

    This document is a collection of guidelines for programmers and managers who are responsible for the development of flight dynamics applications in Ada. It is intended to be used in conjunction with the Recommended Approach to Software Development (SEL-81-305), which describes the software development life cycle, its products, reviews, methods, tools, and measures. The Ada Developers' Supplement provides additional detail on such topics as reuse, object-oriented analysis, and object-oriented design.

  14. A Literature Review on Recommender Systems Algorithms, Techniques and Evaluations

    Directory of Open Access Journals (Sweden)

    Kasra Madadipouya

    2017-07-01

    Full Text Available One of the most crucial issues, nowadays, is to provide personalized services to each individual based on their preferences. To achieve this goal, recommender system could be utilized as a tool to help the users in decision-making process offering different items and options. They are utilized to predict and recommend relevant items to end users. In this case an item could be anything such as a document, a location, a movie, an article or even a user (friend suggestion. The main objective of the recommender systems is to suggest items which have great potential to be liked by users. In modern recommender systems, various methods are combined together with the aim of extracting patterns in available datasets. Combination of different algorithms make prediction more convoluted since various parameters should be taken into account in providing recommendations. Recommendations could be personalized or non-personalized. In non-personalized type, selection of the items for a user is based on the number of the times that an item has been visited in the past by other users. However, in the personalized type, the main objective is to provide the best items to the user based on her taste and preferences. Although, in many domains recommender systems gained significant improvements and provide better services for users, it still requires further research to improve accuracy of recommendations in many aspects. In fact, the current available recommender systems are far from the ideal model of the recommender system. This paper reviews state of art in recommender systems algorithms and techniques which is necessary to identify the gaps and improvement areas. In addition to that, we provide possible solutions to overcome shortages and known issues of recommender systems as well as discussing about recommender systems evaluation methods and metrics in details.

  15. Cystic Fibrosis Colorectal Cancer Screening Consensus Recommendations.

    Science.gov (United States)

    Hadjiliadis, Denis; Khoruts, Alexander; Zauber, Ann G; Hempstead, Sarah E; Maisonneuve, Patrick; Lowenfels, Albert B

    2018-02-01

    Improved therapy has substantially increased survival of persons with cystic fibrosis (CF). But the risk of colorectal cancer (CRC) in adults with CF is 5-10 times greater compared to the general population, and 25-30 times greater in CF patients after an organ transplantation. To address this risk, the CF Foundation convened a multi-stakeholder task force to develop CRC screening recommendations. The 18-member task force consisted of experts including pulmonologists, gastroenterologists, a social worker, nurse coordinator, surgeon, epidemiologist, statistician, CF adult, and a parent. The committee comprised 3 workgroups: Cancer Risk, Transplant, and Procedure and Preparation. A guidelines specialist at the CF Foundation conducted an evidence synthesis February-March 2016 based on PubMed literature searches. Task force members conducted additional independent searches. A total of 1159 articles were retrieved. After initial screening, the committee read 198 articles in full and analyzed 123 articles to develop recommendation statements. An independent decision analysis evaluating the benefits of screening relative to harms and resources required was conducted by the Department of Public Health at Erasmus Medical Center, Netherlands using the Microsimulation Screening Analysis model from the Cancer Innervation and Surveillance Modeling Network. The task force included recommendation statements in the final guideline only if they reached an 80% acceptance threshold. The task force makes 10 CRC screening recommendations that emphasize shared, individualized decision-making and familiarity with CF-specific gastrointestinal challenges. We recommend colonoscopy as the preferred screening method, initiation of screening at age 40 years, 5-year re-screening and 3-year surveillance intervals (unless shorter interval is indicated by individual findings), and a CF-specific intensive bowel preparation. Organ transplant recipients with CF should initiate CRC screening

  16. 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.

  17. Mining the preferences of patients for ubiquitous clinic recommendation.

    Science.gov (United States)

    Chen, Tin-Chih Toly; Chiu, Min-Chi

    2018-03-06

    A challenge facing all ubiquitous clinic recommendation systems is that patients often have difficulty articulating their requirements. To overcome this problem, a ubiquitous clinic recommendation mechanism was designed in this study by mining the clinic preferences of patients. Their preferences were defined using the weights in the ubiquitous clinic recommendation mechanism. An integer nonlinear programming problem was solved to tune the values of the weights on a rolling basis. In addition, since it may take a long time to adjust the values of weights to their asymptotic values, the back propagation network (BPN)-response surface method (RSM) method is applied to estimate the asymptotic values of weights. The proposed methodology was tested in a regional study. Experimental results indicated that the ubiquitous clinic recommendation system outperformed several existing methods in improving the successful recommendation rate.

  18. Variation in Recommendation for Surgical Treatment for Compressive Neuropathy

    NARCIS (Netherlands)

    Hageman, Michiel G. H.; Becker, Stephanie J. E.; Bot, Arjan G. J.; Guitton, Thierry; Ring, David; Wahegaonkar, Abhijeet L.; Garcia, Aida E.; Schefer, Alan; Castillo, Alberto Perez; Terrono, Andrew L.; Gurman, Andrew W.; Apard, T.; Watkins, Barry; Ilyas, Asif; Hearon, Bernard F.; Wills, Brian P. D.; Wintman, Bruce I.; Swigart, Carrie; Spath, Catherine; Dario, Cesar; Miranda, Oliveira; Goldfarb, Charles A.; Cassidy, Charles; Metzger, Charles; Eaton, Charles; Wilson, Chris; Walsh, Christopher J.; Wilson, Christopher J.; Jones, Christopher M.; Young, Colby; Bottke, Craig A.; Osei, Daniel A.; Kirkpatrick, D. Kay; Tate, David; Polatsch, Daniel; Nelson, David L.; Kalainov, David M.; Lamey, David M.; Hanel, Doug; Ostrowski, David M.; Miller, David R.; McKee, Desirae M.; Shin, Eon K.; Ruchelsman, David; Bonatz, Ekkehard; Hofmeister, Eric P.; Fischer, Evan S.; Kaplan, F. Thomas D.; Fernandes, C. H.; Forigua, Jamie E.; Cayon Cayon, Fidel Ernesto; Raia, Frank J.; Walter, Frank L.; Frykman, Gary K.; Pess, Gary M.; Kuzma, Gary R.; Huemer, Georg M.; Byrd, Gregory Dee; Balfour, George W.; Caro, Gladys Cecilia Zambrano; Hernandez, German Ricardo; DeSilva, Gregory; Bamberger, H. Brent; Grunwald, H. W.; MccUtchan, Hal; Solomon, Harrison; Kimball, Hervey L.; Stuart, J. E. B.; Lin, Ines C.; Choueka, Jack; Reid, James G.; Boler, James M.; Pomerance, Jay; Johnson, Jeff W.; Yao, Jeffrey; Calandruccio, Jim; Green, Jennifer B.; Wolf, Jennifer Moriatis; Frankenhoff, Jessica A.; Oakey, Jerome W.; Fischer, Jochen; Howlett, John; Jiuliano, John; Erickson, John M.; McAuliffe, John; Evans, John P.; Taras, John; Boretto, Jorge G.; Isaacs, Jonathan; Di Giovanni, Jose Fernando; Nolla, Jose; Abzug, Joshua M.; Adams, Julie; Chivers, Karel; Prommersberger, Karl-Josef; Malone, Kevin J.; Lee, Kendrick; Halperin, Lawrence S.; Weiss, Lawrence; Benson, Leon; Lane, Lewis B.; Paz, Lior; Lattanza, Lisa; Palmer, M. Jason; Catalano, Louis; Richard, Marc J.; Rizzo, Marco; Boyer, Martin; Calcagni, Maurizio; Wood, Megan M.; Baskies, Michael; Grafe, Michael W.; Behrman, Michael; Jones, Michael; Quinn, Michael; Nancollas, Michael; Kessler, Michael W.; Pirela-Cruz, Miguel A.; Patel, Milan M.; Felipe, Naquira Escobar Luis; Harness, Neil G.; Akabudike, Ngozi M.; Horangic, Nicholas J.; Semenkin, Oleg M.; Leung, Nicky L.; McCulloch, Patrick T.; Owens, Patrick W.; Martineau, Paul A.; Bettinger, Paul; Guidera, Paul; Hoepfner, Peter E.; Sitaram, Prasad; DeNoble, Peter H.; Jebson, Peter; Coogan, Philip; Dantuluri, Phani; Gaston, R. Glenn; Nyszkiewicz, Ralf; Costanzo, Ralph M.; de Bedout, Ramon; Hauck, Randy; Fricker, Renato M.; GIlbert, Richard S.; Hutchison, Richard L.; Barth, Richard W.; Papandrea, Rick; Szabo, Robert M.; Gray, Robert R. L.; Nathan, Ross; Spruijt, Sander; Shatford, Russell; Klinefelter, Ryan; Sodha, Samir; Calfee, Ryan P.; Kakar, Sanjeev; Kaplan, Saul; Duncan, Scott F.; Mitchell, Scott; Dodds, Seth; Jacoby, Sidney M.; Kennedy, Stephen A.; Marczyk, Stanley Casimir; Dailey, Stephen W.; Kronlage, Steve; Alter, Steven; Beldner, Steven; McCabe, Steven J.; Hilliard, Stuart M.; Fischer, Thomas J.; Baxamusa, Taizoon; Taleb, C.; Varecka, Thomas F.; Wyrick, Theresa; Havenhill, Timothy G.; Siff, Todd; Knoll, Victoria D.; Patel, Vipul P.; Batson, W. Arnnold; Hammert, Warren C.; van Wyk, William J.

    2013-01-01

    Purpose It is our impression that there is substantial, unexplained variation in hand surgeon recommendations for treatment of peripheral mononeuropathy. We tested the null hypothesis that specific patient and provider factors do not influence recommendations for surgery. Methods Using a web-based

  19. Goal-based structuring in a recommender systems

    NARCIS (Netherlands)

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

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

  20. 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...

  1. The new ICRP general recommendations

    International Nuclear Information System (INIS)

    Mason, Ch.; Kosako, T.; Kuniyoshi, H.; Kiryu, Y.; Choi, H.S.; Burns, P.A.; Pan, Z.Q.; Xia, Y.

    2007-01-01

    Regulatory views from Japan, South Korea, Australia, China and Indonesia were explained based on their regional context. Some issues, for example 'optimisation', 'dose constrains', 'natural radioactivity', were addressed from the viewpoint of how each country's current regulation system would adopt these new recommendations. It was noted that there would be a need for some flexibility in applying these new recommendations since different countries have different regulatory criteria and benchmarks as well different decision-making processes. It was also noted that definitions and terminologies should be given serious consideration with regard to non-English speaking countries to assure that the new ICRP recommendations are clearly understood, not misinterpreted, easily translated and finally applied in the field of radiation protection. In addition, some recent radiation protection activities, as well as views on utilisation of nuclear power in several countries were presented. (authors)

  2. 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.

  3. Method

    Directory of Open Access Journals (Sweden)

    Ling Fiona W.M.

    2017-01-01

    Full Text Available Rapid prototyping of microchannel gain lots of attention from researchers along with the rapid development of microfluidic technology. The conventional methods carried few disadvantages such as high cost, time consuming, required high operating pressure and temperature and involve expertise in operating the equipment. In this work, new method adapting xurography method is introduced to replace the conventional method of fabrication of microchannels. The novelty in this study is replacing the adhesion film with clear plastic film which was used to cut the design of the microchannel as the material is more suitable for fabricating more complex microchannel design. The microchannel was then mold using polymethyldisiloxane (PDMS and bonded with a clean glass to produce a close microchannel. The microchannel produced had a clean edge indicating good master mold was produced using the cutting plotter and the bonding between the PDMS and glass was good where no leakage was observed. The materials used in this method is cheap and the total time consumed is less than 5 hours where this method is suitable for rapid prototyping of microchannel.

  4. 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.

  5. Building a biomedical ontology recommender web service

    Directory of Open Access Journals (Sweden)

    Jonquet Clement

    2010-06-01

    Full Text Available Abstract Background Researchers in biomedical informatics use ontologies and terminologies to annotate their data in order to facilitate data integration and translational discoveries. As the use of ontologies for annotation of biomedical datasets has risen, a common challenge is to identify ontologies that are best suited to annotating specific datasets. The number and variety of biomedical ontologies is large, and it is cumbersome for a researcher to figure out which ontology to use. Methods We present the Biomedical Ontology Recommender web service. The system uses textual metadata or a set of keywords describing a domain of interest and suggests appropriate ontologies for annotating or representing the data. The service makes a decision based on three criteria. The first one is coverage, or the ontologies that provide most terms covering the input text. The second is connectivity, or the ontologies that are most often mapped to by other ontologies. The final criterion is size, or the number of concepts in the ontologies. The service scores the ontologies as a function of scores of the annotations created using the National Center for Biomedical Ontology (NCBO Annotator web service. We used all the ontologies from the UMLS Metathesaurus and the NCBO BioPortal. Results We compare and contrast our Recommender by an exhaustive functional comparison to previously published efforts. We evaluate and discuss the results of several recommendation heuristics in the context of three real world use cases. The best recommendations heuristics, rated ‘very relevant’ by expert evaluators, are the ones based on coverage and connectivity criteria. The Recommender service (alpha version is available to the community and is embedded into BioPortal.

  6. 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.

  7. Surgery for constipation : systematic review and practice recommendations : Graded practice and future research recommendations

    OpenAIRE

    Knowles, C. H.; Grossi, U.; Horrocks, E. J.; Pares, D.; Vollebregt, P. F.; Chapman, M.; Brown, S.; Mercer-Jones, M.; Williams, A. B.; Yiannakou, Y.; Hooper, R. J.; Stevens, N.; Mason, James; HASH(0x55897e1f8d68); HASH(0x55897e16c5e8)

    2017-01-01

    Aim\\ud \\ud This manuscript forms the final of seven that address the surgical management of chronic constipation (CC) in adults. The content coalesces results from the five systematic reviews that precede it and of the European Consensus process to derive graded practice recommendations (GPR).\\ud Methods\\ud \\ud Summary of review data, development of GPR and future research recommendations as outlined in detail in the ‘introduction and methods’ paper.\\ud Results\\ud \\ud The overall quality of d...

  8. 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.

  9. Towards a Legal Recommender System

    NARCIS (Netherlands)

    Winkels, R.; Boer, A.; Vredebregt, B.; van Someren, A.

    2014-01-01

    In this paper we present the results of ongoing research aimed at a legal recommender system where users of a legislative portal receive suggestions of other relevant sources of law, given a focus document. We describe how we make references in case law to legislation explicit and machine readable,

  10. Recommendations for DSD model calculations

    International Nuclear Information System (INIS)

    Cvelbar, F.

    1999-01-01

    The latest achievements of the DSD (direct-semidirect) capture model, such as the extension to unbound final states or to densely distributed bound states, and the introduction of the consistent DSD model are reviewed. Recommendations for the future use of the model are presented. (author)

  11. Recommendations for open data science.

    Science.gov (United States)

    Gymrek, Melissa; Farjoun, Yossi

    2016-01-01

    Life science research increasingly relies on large-scale computational analyses. However, the code and data used for these analyses are often lacking in publications. To maximize scientific impact, reproducibility, and reuse, it is crucial that these resources are made publicly available and are fully transparent. We provide recommendations for improving the openness of data-driven studies in life sciences.

  12. Recommendations for Institutional Prematriculation Immunizations

    Science.gov (United States)

    Journal of American College Health, 2011

    2011-01-01

    The recommendations presented in this article are provided to colleges and universities to facilitate the implementation of a comprehensive institutional prematriculation immunization policy. Vaccine-preventable diseases continue to occur on American campuses. In response to changing epidemiology and the introduction of new vaccines, the ACHA…

  13. Recommendations for epidemiological studies on COPD

    DEFF Research Database (Denmark)

    Bakke, P S; Rönmark, E; Eagan, T

    2011-01-01

    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...... 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......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...

  14. 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...

  15. From recommendation to action: psychosocial factors influencing physician intention to use Health Technology Assessment (HTA recommendations

    Directory of Open Access Journals (Sweden)

    Sánchez Emília

    2006-03-01

    Full Text Available Abstract Background Evaluating the impact of recommendations based upon health technology assessment (HTA represents a challenge for both HTA agencies and healthcare policy-makers. Using a psychosocial theoretical framework, this study aimed at exploring the factors affecting physician intention to adopt HTA recommendations. The selected recommendations were prioritisation systems for patients on waiting lists for two surgical procedures: hip and knee replacement and cataract surgery. Methods Determinants of physician intention to use HTA recommendations for patient prioritisation were assessed by a questionnaire based upon the Theory of Interpersonal Behaviour. A total of 96 physicians from two medical specialties (ophthalmology and orthopaedic surgery responded to the questionnaire (response rate 44.2%. A multiple analysis of variance (MANOVA was performed to assess differences between medical specialties on the set of theoretical variables. Given the main effect difference between specialties, two regression models were tested separately to assess the psychosocial determinants of physician intention to use HTA recommendations for the prioritisation of patients on waiting lists for surgical procedures. Results Factors influencing physician intention to use HTA recommendations differ between groups of specialists. Intention to use the prioritisation system for patients on waiting lists for cataract surgery among ophthalmologists was related to attitude towards the behaviour, social norms, as well as personal normative beliefs. Intention to use HTA recommendations for patient prioritisation for hip and knee replacement among orthopaedic surgeons was explained by: perception of conditions that facilitated the realisation of the behaviour, personal normative beliefs, and habit of using HTA recommendations in clinical work. Conclusion This study offers a model to assess factors influencing the intention to adopt recommendations from health

  16. 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.

  17. 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.

  18. Research on the Application of Persona in Book Recommendation System

    Science.gov (United States)

    Gao, Baozhong; Du, Shouyan; Li, Xinzhi; Liu, Fangai

    2017-10-01

    Currently, there still exists a host of problems in the book recommendation system, such as low accuracy, weak correlation and poor pertinence. Aiming to unravel these problems, this paper based on the theory of big data and data mining technology, through analyzing internet user behavior and the “5C” model of personal credit evaluation, combined with joint impact weight calculation method, which involves user grade, borrowing credit, book friend recommendation degree, book friend recommended adoption degree, borrowing frequency, borrowing number, and borrowing time interval. User activity and credit are also taken into account in the process of establishing user tagging system so as to build classified book recommendation service. This method is of universal meaning to the book recommendation service of smart campus with user as the core under big data environment.

  19. 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.

  20. Kernel based collaborative recommender system for e-purchasing

    Indian Academy of Sciences (India)

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

  1. 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.

  2. Missed hormonal contraceptives: new recommendations.

    Science.gov (United States)

    Guilbert, Edith; Black, Amanda; Dunn, Sheila; Senikas, Vyta

    2008-11-01

    To provide evidence-based guidance for women and their health care providers on the management of missed or delayed hormonal contraceptive doses in order to prevent unintended pregnancy. Medline, PubMed, and the Cochrane Database were searched for articles published in English, from 1974 to 2007, about hormonal contraceptive methods that are available in Canada and that may be missed or delayed. Relevant publications and position papers from appropriate reproductive health and family planning organizations were also reviewed. The quality of evidence is rated using the criteria developed by the Canadian Task Force on Preventive Health Care. This committee opinion will help health care providers offer clear information to women who have not been adherent in using hormonal contraception with the purpose of preventing unintended pregnancy. The Society of Obstetricians and Gynaecologists of Canada. SUMMARY STATEMENTS: 1. Instructions for what women should do when they miss hormonal contraception have been complex and women do not understand them correctly. (I) 2. The highest risk of ovulation occurs when the hormone-free interval is prolonged for more than seven days, either by delaying the start of combined hormonal contraceptives or by missing active hormone doses during the first or third weeks of combined oral contraceptives. (II) Ovulation rarely occurs after seven consecutive days of combined oral contraceptive use. (II) RECOMMENDATIONS: 1. Health care providers should give clear, simple instructions, both written and oral, on missed hormonal contraceptive pills as part of contraceptive counselling. (III-A) 2. Health care providers should provide women with telephone/electronic resources for reference in the event of missed or delayed hormonal contraceptives. (III-A) 3. In order to avoid an increased risk of unintended pregnancy, the hormone-free interval should not exceed seven days in combined hormonal contraceptive users. (II-A) 4. Back-up contraception should

  3. 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. This

  4. Americans Do Not Meet Federal Dietary Recommendations1

    OpenAIRE

    Krebs-Smith, Susan M.; Guenther, Patricia M.; Subar, Amy F.; Kirkpatrick, Sharon I.; Dodd, Kevin W.

    2010-01-01

    A longstanding goal of dietary surveillance has been to estimate the proportion of the population with intakes above or below a target, such as a recommended level of intake. However, until now, statistical methods for assessing the alignment of food intakes with recommendations have been lacking. The purposes of this study were to demonstrate the National Cancer Institute’s method of estimating the distribution of usual intake of foods and determine the proportion of the U.S. population who ...

  5. 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.

  6. RARD: The Related-Article Recommendation Dataset

    OpenAIRE

    Beel, Joeran; Carevic, Zeljko; Schaible, Johann; Neusch, Gabor

    2017-01-01

    Recommender-system datasets are used for recommender-system evaluations, training machine-learning algorithms, and exploring user behavior. While there are many datasets for recommender systems in the domains of movies, books, and music, there are rather few datasets from research-paper recommender systems. In this paper, we introduce RARD, the Related-Article Recommendation Dataset, from the digital library Sowiport and the recommendation-as-a-service provider Mr. DLib. The dataset contains ...

  7. An effective collaborative movie recommender system with cuckoo search

    Directory of Open Access Journals (Sweden)

    Rahul Katarya

    2017-07-01

    Full Text Available Recommender systems are information filtering tools that aspire to predict the rating for users and items, predominantly from big data to recommend their likes. Movie recommendation systems provide a mechanism to assist users in classifying users with similar interests. This makes recommender systems essentially a central part of websites and e-commerce applications. This article focuses on the movie recommendation systems whose primary objective is to suggest a recommender system through data clustering and computational intelligence. In this research article, a novel recommender system has been discussed which makes use of k-means clustering by adopting cuckoo search optimization algorithm applied on the Movielens dataset. Our approach has been explained systematically, and the subsequent results have been discussed. It is also compared with existing approaches, and the results have been analyzed and interpreted. Evaluation metrics such as mean absolute error (MAE, standard deviation (SD, root mean square error (RMSE and t-value for the movie recommender system delivers better results as our approach offers lesser value of the mean absolute error, standard deviation, and root mean square error. The experiment results obtained on Movielens dataset stipulate that the proposed approach may provide high performance regarding reliability, efficiency and delivers accurate personalized movie recommendations when compared with existing methods. Our proposed system (K-mean Cuckoo has 0.68 MAE, which is superior to existing work (0.78 MAE [1] and also has improvement of our previous work (0.75 MAE [2].

  8. 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.

  9. 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.

  10. Generalization of experimental data and development of recommendations for calculating heat transfer of a staggered tube bank with helical and ring extended-surface tubes in a perpendicular gas stream (for new formulation of standard method for boiler heat analyses)

    Energy Technology Data Exchange (ETDEWEB)

    Fomina, V N; Titova, E Ya; Migai, V K; Bystrov, P G; Pis' mennyi, E N [Vsesoyuznyi Teplotekhnicheskii Institut (USSR)

    1991-06-01

    Comparatively evaluates methods for determination of optimum design of extended-surface tubes used in water walls of boilers fired with coal and other fuels in commercial power plants in the USSR. The standard calculation methods introduced in 1973 and other methods developed and tested by individual research institutes of the USSR are described. New and original formulae based on the results of physical and mathematical modeling are evaluated. Heat transfer from flue gases to water walls is analyzed. Arrangement of tube banks, design of extended-surface tubes and other factors that influence heat transfer are considered. Evaluations show that from among the analyzed calculation methods the method developed by the KPI institute is superior to others (it is most accurate and universal). Investigations show that the coefficient of thermal efficiency of the economizers (1st and 2nd stage) of boilers fired with coal amounts to about 0.85. The coefficient considers effects of buildup on the economizer tubes. Use of the method is explained on example of boilers fired with black coal from the Ehkibastuz. 13 refs.

  11. Group Recommendation in Social Networks

    Science.gov (United States)

    2011-01-01

    interests 8,822,921 DOUBAN Largest Chinese community providing user review and recommendation services for movies, books, and music . It also...doubles up as the Chinese language book, movie and music database. 46,850,000 FACEBOOK General 750,000,000+ FLIXSTER Movies 32,000,000 FOURSQUARE...groups, events and community pages) • More than 30 billion pieces of content (web links, news stories, blog posts, notes, photo albums , etc.) shared

  12. Workers and the ICRP recommendations

    International Nuclear Information System (INIS)

    Zerbib, J.C.

    1979-01-01

    In both the preparation and the application of the recommendations presented by the ICRP one important voice has been absent: that of the workers in the nuclear industry. A large number of specialists are studying their situation from all points of view, in their different capacities as workers, consumers and male or female members of the public, but this extensive study is being done without consulting them, without their opinion even being asked for. The paper discusses such deficiencies, in particular all those aspects which distinguish these recommendations from a legal text. The lack of conciseness in the definition of the limit which the average annual dose to a large group of workers must not exceed (500 mrad) is considered. The possibility of a large number of workers being exposed for a long period is not acceptable if the decision is left to the manager of a nuclear facility alone. Cost-benefit analysis, as it is described in the ICRP text, cannot be considered to provide credible protection from the point of view of workers. Moreover, the various ICRP recommendations fail to mention such important matters as allowance for low-dose effects, disparities in the social security coverage offered to various categories of workers in the event of occupational illness, and the increasing use of migrant workers for difficult decontamination and maitenance tasks. At a time when it is thought that nuclear technology can be standardized, the French Democratic Labour Confederation (CFDT) expresses its fears concerning the practical application of the ICRP recommendations; for example, the text of ICRP Publication 26 has not yet been translated into French, but Euratom has already proposed directives for its application in Member States

  13. Recommended HSE-7 documents hierarchy

    International Nuclear Information System (INIS)

    Klein, R.B.; Jennrich, E.A.; Lund, D.M.; Danna, J.G.; Davis, K.D.; Rutz, A.C.

    1990-01-01

    This report recommends a hierarchy of waste management documents at Los Alamos National Laboratory (LANL or ''Laboratory''). The hierarchy addresses documents that are required to plan, implement, and document waste management programs at Los Alamos. These documents will enable the waste management group and the six sections contained within that group to satisfy requirements that are imposed upon them by the US Department of Energy (DOE), DOE Albuquerque Operations, US Environmental Protection Agency, various State of New Mexico agencies, and Laboratory management

  14. Paris convention - Decisions, recommendations, interpretations

    International Nuclear Information System (INIS)

    1990-01-01

    This booklet is published in a single edition in English and French. It contains decisions, recommendations and interpretations concerning the 1960 Paris Convention on Third Party Liability in the Field of Nuclear Energy adopted by the OECD Steering Committee and the OECD Council. All the instruments are set out according to the Article of the Convention to which they relate and explanatory notes are added where necessary [fr

  15. 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.

  16. Aggregated recommendation through random forests.

    Science.gov (United States)

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

    2014-01-01

    Aggregated recommendation refers to the process of suggesting one kind of items to a group of users. Compared to user-oriented or item-oriented approaches, it is more general and, therefore, more appropriate for cold-start recommendation. In this paper, we propose a random forest approach to create aggregated recommender systems. The approach is used to predict the rating of a group of users to a kind of items. In the preprocessing stage, we merge user, item, and rating information to construct an aggregated decision table, where rating information serves as the decision attribute. We also model the data conversion process corresponding to the new user, new item, and both new problems. In the training stage, a forest is built for the aggregated training set, where each leaf is assigned a distribution of discrete rating. In the testing stage, we present four predicting approaches to compute evaluation values based on the distribution of each tree. Experiments results on the well-known MovieLens dataset show that the aggregated approach maintains an acceptable level of accuracy.

  17. Efficient Tensor Strategy for Recommendation

    Directory of Open Access Journals (Sweden)

    Aboagye Emelia Opoku

    2017-07-01

    Full Text Available The era of big data has witnessed the explosion of tensor datasets, and large scale Probabilistic Tensor Factorization (PTF analysis is important to accommodate such increasing trend of data. Sparsity, and Cold-Start are some of the inherent problems of recommender systems in the era of big data. This paper proposes a novel Sentiment-Based Probabilistic Tensor Analysis technique senti-PTF to address the problems. The propose framework first applies a Natural Language Processing technique to perform sentiment analysis taking advantage of the huge sums of textual data generated available from the social media which are predominantly left untouched. Although some current studies do employ review texts, many of them do not consider how sentiments in reviews influence recommendation algorithm for prediction. There is therefore this big data text analytics gap whose modeling is computationally expensive. From our experiments, our novel machine learning sentiment-based tensor analysis is computationally less expensive, and addresses the cold-start problem, for optimal recommendation prediction.

  18. Vaccination recommended for pregnant women

    Directory of Open Access Journals (Sweden)

    Justyna Magdalena Skolarczyk

    2017-04-01

    Full Text Available A vaccine is a formulation of biological origin that contains substances capable of inducing immune processes without the ability to cause a disease. Vaccination is considered the best mean to prevent infectious diseases and their serious complications. Vaccination of a pregnant women can provide protection against severe infectious diseases of both pregnant women and their children. The aim of the study is to present currently available types of vaccines recommended for pregnant women and indications for their use by analyzing the data available in the PubMed, and Medline electronic databases. In the United States, vaccination recommendations for pregnant women include inactivated influenza vaccine and tetanus and diphtheria toxoid vaccine (Tdap. In some countries, pregnant women also receive a vaccine against hepatitis B as well as anti hepatitis A and E. There are also studies on vaccines against the RSV virus and pneumococci. Vaccination is the most effective form of prevention of infectious diseases and their use during pregnancy does not entail any additional risk to the mother or her baby. The benefits of vaccination are huge, so pregnant women should take  recommended vaccination and shouldn’t  be afraid of using them.

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

    Directory of Open Access Journals (Sweden)

    Guang Fang

    2018-01-01

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

  20. Recommendations for plutonium colloid size determination

    International Nuclear Information System (INIS)

    Kosiewicz, S.T.

    1984-02-01

    This report presents recommendations for plutonium colloid size determination and summarizes a literature review, discussions with other researchers, and comments from equipment manufacturers. Four techniques suitable for plutonium colloid size characterization are filtration and ultrafiltration, gel permeation chromatography, diffusion methods, and high-pressure liquid chromatography (conditionally). Our findings include the following: (1) Filtration and ultrafiltration should be the first methods used for plutonium colloid size determination because they can provide the most rapid results with the least complicated experimental arrangement. (2) After expertise has been obtained with filtering, gel permeation chromatography should be incorporated into the colloid size determination program. (3) Diffusion methods can be used next. (4) High-pressure liquid chromatography will be suitable after appropriate columns are available. A plutonium colloid size characterization program with filtration/ultrafiltration and gel permeation chromatography has been initiated

  1. Semantic content-based recommendations using semantic graphs.

    Science.gov (United States)

    Guo, Weisen; Kraines, Steven B

    2010-01-01

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

  2. EULAR revised recommendations for the management of fibromyalgia

    DEFF Research Database (Denmark)

    Macfarlane, G J; Kronisch, C; Dean, L E

    2017-01-01

    and Evaluation system was used for making recommendations. RESULTS: 2979 titles were identified: from these 275 full papers were selected for review and 107 reviews (and/or meta-analyses) evaluated as eligible. Based on meta-analyses, the only 'strong for' therapy-based recommendation in the guidelines......OBJECTIVE: The original European League Against Rheumatism recommendations for managing fibromyalgia assessed evidence up to 2005. The paucity of studies meant that most recommendations were 'expert opinion'. METHODS: A multidisciplinary group from 12 countries assessed evidence with a focus...... on systematic reviews and meta-analyses concerned with pharmacological/non-pharmacological management for fibromyalgia. A review, in May 2015, identified eligible publications and key outcomes assessed were pain, fatigue, sleep and daily functioning. The Grading of Recommendations Assessment, Development...

  3. 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.

  4. 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.

  5. 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.

  6. Vaccination recommended for pregnant women

    OpenAIRE

    Skolarczyk, Justyna; Łabądź, Dawid; Pekar, Joanna; Nieradko-Iwanicka, Barbara

    2017-01-01

    Skolarczyk Justyna, Łabądź Dawid, Pekar Joanna, Nieradko-Iwanicka Barbara. Vaccination recommended for pregnant women. Journal of Education, Health and Sport. 2017;7(4):682-688. eISSN 2391-8306. DOI http://dx.doi.org/10.5281/zenodo.569050 http://ojs.ukw.edu.pl/index.php/johs/article/view/4423 The journal has had 7 points in Ministry of Science and Higher Education parametric evaluation. Part B item 1223 (26.01.2017). 1223 Journal of Education, Health and Sport eI...

  7. ExpertFOAF recommends experts

    DEFF Research Database (Denmark)

    Iofcu, Tereza; Diederich, Joerg; Dolog, Peter

    2007-01-01

    FOAF files are often used for publishing simple information about persons and about their community. Our proposal is to extend the user's FOAF files with automatically generated user profiles, which are based on a histogram of the user's interest and which are also semantically enriched using...... recommender systems for finding users with similar interests and, hence, expertise in different domains. We consider a well-defined user profile to express best the user's current interests in a domain, where the domain (such as the research environment with students and professors) is defined by a collection...

  8. Physical Exercise and MS Recommendations

    DEFF Research Database (Denmark)

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

    2009-01-01

    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......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...

  9. Hybrid employment recommendation algorithm based on Spark

    Science.gov (United States)

    Li, Zuoquan; Lin, Yubei; Zhang, Xingming

    2017-08-01

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

  10. 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.

  11. Research on Long Tail Recommendation Algorithm

    Science.gov (United States)

    Hu, Xuezhi; Zhang, Chuang; Wu, Ming; Zeng, Yang

    2017-10-01

    Most recommendation systems in the major electronic commerce platforms are influenced by the long tail effect more or less. There are sufficient researches of how to assess recommendation effect while no criteria to evaluate long tail recommendation rate. In this study, we first discussed the existing problems of recommending long tail products through specific experiments. Then we proposed a long tail evaluation criteria and compared the performance in long tail recommendation between different models.

  12. Recommended system of application and development

    Science.gov (United States)

    Wang, Wei

    2018-04-01

    A recommender system is a project that helps users identify their wishes and needs. The recommender system has been successfully applied to many e-commerce environments, such as news, film, music, books and other areas of recommendation. This paper mainly discusses the application of recommendation technology in software engineering, data and knowledge engineering, configurable projects and persuasion technology, and summarizes the development trend of recommendation technology in the future.

  13. The dynamical modeling and simulation analysis of the recommendation on the user-movie network

    Science.gov (United States)

    Zhang, Shujuan; Jin, Zhen; Zhang, Juan

    2016-12-01

    At present, most research about the recommender system is based on graph theory and algebraic methods, but these methods cannot predict the evolution of the system with time under the recommendation method, and cannot dynamically analyze the long-term utility of the recommendation method. However, these two aspects can be studied by the dynamical method, which essentially investigates the intrinsic evolution mechanism of things, and is widely used to study a variety of actual problems. So, in this paper, network dynamics is used to study the recommendation on the user-movie network, which consists of users and movies, and the movies are watched either by the personal search or through the recommendation. Firstly, dynamical models are established to characterize the personal search and the system recommendation mechanism: the personal search model, the random recommendation model, the preference recommendation model, the degree recommendation model and the hybrid recommendation model. The rationality of the models established is verified by comparing the stochastic simulation with the numerical simulation. Moreover, the validity of the recommendation methods is evaluated by studying the movie degree, which is defined as the number of the movie that has been watched. Finally, we combine the personal search and the recommendation to establish a more general model. The change of the average degree of all the movies is given with the strength of the recommendation. Results show that for each recommendation method, the change of the movie degree is different, and is related to the initial degree of movies, the adjacency matrix A representing the relation between users and movies, the time t. Additionally, we find that in a long time, the degree recommendation is not as good as that in a short time, which fully demonstrates the advantage of the dynamical method. For the whole user-movie system, the preference recommendation is the best.

  14. Dental health professional recommendation and consumer habits in denture cleansing.

    Science.gov (United States)

    Axe, Alyson S; Varghese, Roshan; Bosma, MaryLynn; Kitson, Nicola; Bradshaw, David J

    2016-02-01

    Regular cleaning of dentures is essential to the oral and general health of denture wearers. Only limited systematic data are available on the recommendations that dental health care professionals (DHCPs) make to patients for denture cleaning. Data on denture wearers' cleaning regimens are also lacking. The purpose of this study was to provide data on recommendations that DHCPs make to patients for denture cleaning and on the cleaning regimens of denture wearers. DHCPs (n=613), including dentists and hygienists, were surveyed in developed (Japan, USA, Italy) and developing (Brazil, India) countries. A questionnaire assessing a range of denture cleaning recommendations was used. The questions addressed products, frequency, how to use remedies, the suggested dilution and duration of cleansing treatment, the location of dentures while cleaning, and the reasoning behind the recommendation of particular products or modes of treatment. Denture cleansing methods and the routine of denture wearers in developed and developing countries were also surveyed with a questionnaire (n=2862) and a 1-week diary (n=1462). An average of more than 2 treatments was recommended by DHCPs. Specialist denture cleanser tablets, "regular" toothpaste, mouthwash, soap and water, denture paste, foam or liquid denture cleanser, and dishwashing detergents were most commonly recommended; other product recommendations included baking soda, vinegar, salt water, and bleach. More than 10% of DHCPs made no primary recommendation on cleaning. Denture tablets were more commonly recommended in developed countries, whereas toothpaste was the most common recommendation in developing countries. Denture wearers used products and methods similar to those recommended by DHCPs. Toothpaste, water, and mouthwash were used more frequently than denture tablets. More than 75% of denture wearers reported using denture cleanser tablets for more than 5 minutes, whereas soap and toothpaste were typically used for less

  15. 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.

  16. 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.

  17. Recommendations for the use of irradiated components

    International Nuclear Information System (INIS)

    2007-01-01

    The disease 'graft-versus-host' associated with the transfusion (EIVH TA) is an adverse reaction rare but fatal, linked to the proliferation of T cells that are found in cellular components and reacting against the receptor's tissues). Gamma irradiation of cellular components is used as a prevention method because it deactivates the lymphocytes T by reducing its survival and by restraining its proliferation without producing alterations in others cells function. Recommendations for the use of gamma irradiation along with clinical indications for pediatric patients, patients with acquired immunosuppression and immunocompetent patients are given in this study. A brief description of operative aspects of irradiation procedures such as components to be irradiated, irradiation method, irradiation dose and viability of irradiated components is given [es

  18. Which Recommender System Can Best Fit Social Learning Platforms?

    OpenAIRE

    Fazeli, Soude; Loni, Babak; Drachsler, Hendrik; Sloep, Peter

    2014-01-01

    In this presentation, we present a study that aims to develop a recommender system for social learning platforms that combine traditional learning management systems with commercial social networks like Facebook. We therefore take into account social interactions of users to make recommendations on learning resources. We propose to make use of graph-walking methods for improving performance of the well-known baseline algorithms. We evaluate the proposed graph-based approach in terms of their ...

  19. How to Recommend by Online Lifestyle Tagging (OLT)

    OpenAIRE

    Yu Pan; Lijuan Luo; Dan Liu; Li Gao; Xiaobo Xu; Wenjing Shen; Jiang Gao

    2014-01-01

    With the rapid development of the Internet, the online shopping market expands constantly. Inspired by fierce competition and complex and diverse consumer demand, personalized recommendation has become an effective marketing tool for e-commerce enterprises. However, the existing recommendation methods based on online consumer behavior or preferences are characterized by poor accuracy and low efficiency. The paper mainly conducts three studies, the study1 proves that seven online lifestyles, w...

  20. 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

  1. Ransomware - Threats Vulnerabilities And Recommendations

    Directory of Open Access Journals (Sweden)

    Nadeem Shah

    2017-06-01

    Full Text Available Attack methodologies transform with the transforming dynamics of technology. Consequently it becomes imperative that individuals and organization implement the highest levels of security within their devices and infrastructure for optimal protection against these rapidly evolving attacks. Ransomware is one such attack that never fails to surprise in terms of its ability to identify vulnerabilities and loopholes in technology. This paper discusses the categories of ransomware its common attack vectors and provides a threat landscape with the aim to highlight the true potential and destructive nature of such malware based attacks. In this paper we also present the most current ransomware attack that is still a potential threat and also provide recommendations and strategies for prevention and protection against these attacks. A novel solution is also discussed that could be further worked upon in the future by other researchers and vendors of security devices.

  2. Summary, analysis, and policy recommendations

    International Nuclear Information System (INIS)

    Anon.

    1990-01-01

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

  3. 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.

  4. 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.

  5. 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.

  6. A collaborative approach for research paper recommender system.

    Science.gov (United States)

    Haruna, Khalid; Akmar Ismail, Maizatul; Damiasih, Damiasih; Sutopo, Joko; Herawan, Tutut

    2017-01-01

    Research paper recommenders emerged over the last decade to ease finding publications relating to researchers' area of interest. The challenge was not just to provide researchers with very rich publications at any time, any place and in any form but to also offer the right publication to the right researcher in the right way. Several approaches exist in handling paper recommender systems. However, these approaches assumed the availability of the whole contents of the recommending papers to be freely accessible, which is not always true due to factors such as copyright restrictions. This paper presents a collaborative approach for research paper recommender system. By leveraging the advantages of collaborative filtering approach, we utilize the publicly available contextual metadata to infer the hidden associations that exist between research papers in order to personalize recommendations. The novelty of our proposed approach is that it provides personalized recommendations regardless of the research field and regardless of the user's expertise. Using a publicly available dataset, our proposed approach has recorded a significant improvement over other baseline methods in measuring both the overall performance and the ability to return relevant and useful publications at the top of the recommendation list.

  7. Recommender Systems in Technology Enhanced Learning

    NARCIS (Netherlands)

    Manouselis, Nikos; Drachsler, Hendrik; Vuorikari, Riina; Hummel, Hans; Koper, Rob

    2010-01-01

    Manouselis, N., Drachsler, H., Vuorikari, R., Hummel, H. G. K., & Koper, R. (2011). Recommender Systems in Technology Enhanced Learning. In P. B. Kantor, F. Ricci, L. Rokach, & B. Shapira (Eds.), Recommender Systems Handbook (pp. 387-415). Berlin: Springer.

  8. Preventive Care Recommendations for Adults with MS

    Science.gov (United States)

    ... risk factors including prolonged use of steroids or anticonvulsants, a family history of osteoporosis, and a sedentary ... care provider. Yearly. Monthly. The American Academy of Pediatrics recommends starting at age eighteen. Preventive Care Recommendations | ...

  9. 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.

  10. Great Explanations: Opinionated Explanations for Recommendation

    OpenAIRE

    Muhammad, Khalil; Lawlor, Aonghus; Rafter, Rachael; Smyth, Barry

    2015-01-01

    Explaining recommendations helps users to make better, more satisfying decisions. We describe a novel approach to explanation for recommender systems, one that drives the recommendation process, while at the same time providing the user with useful insights into the reason why items have been chosen and the trade-os they may need to consider when making their choice. We describe this approach in the context ofa case-based recommender system that harnesses opinions mined from user-generated re...

  11. Recommendation System Based on Fuzzy Cognitive Map

    OpenAIRE

    Wei Liu; Linzhi Gao

    2014-01-01

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

  12. 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,

  13. 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…

  14. 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.…

  15. Recommendations, requirements, and radioactive particles

    International Nuclear Information System (INIS)

    Bell, J.M.

    1991-01-01

    Hot particles consisting of activated metal debris and fuel fragments have received increased attention in the last five years. This increased attention resulted from the increased use of more sensitive whole body friskers at nuclear power plants, the relatively high local skin doses associated with the particles, and skin dose limits that were established before hot particles, and skin dose limits that were established before hot particles became a problem and before radiobiological effects data for the particles became available. The skin dose distribution and biological effects associated with hot particles differ from those associated with more uniform skin contamination and differences exist in the scientific community as to which effects should be protected against by a limit on exposures from particles. The NRC staff recognized the need for provisions in the Federal regulations specific to hot particle exposures and requested guidance from the National Council on Radiation Protection and Measurements (NCRP). NCRP Report No. 106 was provided to the NRC early in 1990. The International Commission on Radiological Protection (ICRP) is also developing recommendations for limits on exposures from hot particles. The NRC is supporting research on hot particle effects and will likely develop a rule for hot particle exposures

  16. Permian Basin location recommendation report

    International Nuclear Information System (INIS)

    1983-09-01

    Candidate study areas are screened from the Palo Duro and Dalhart Basin areas using data obtained from studies to date and criteria and specifications that consider: rock geometry; rock characteristics; human intrusion potential; surface characteristics; and environmental and socioeconomic conditions. Two preferred locations are recommended from among these areas for additional characterization to identify potential National Waste Terminal Storage (NWTS) salt repository sites. One location, in northeastern Deaf Smith County and southeastern Oldham County, is underlain by two salt units that meet the adopted screening specifications. The other location, in northcentral Swisher County, is underlain by one salt unit that meets the adopted screening specifications. Both locations have several favorable features, relative to surrounding areas, and no obviously undesirable characteristics. Both lie wholly on the Southern High Plains surface, are in relatively sparsely populated areas, contain no unique land use conflicts, and comprise large enough geographic areas to provide flexibility in site selection. Data gathered to date indicate that these locations contain salt units sufficient in thickness and in depth for the safe construction and operation of the underground facilities under consideration. 93 references, 34 figures, 6 tables

  17. 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.

  18. Epilepsy and recommendations for breastfeeding.

    Science.gov (United States)

    Veiby, Gyri; Bjørk, Marte; Engelsen, Bernt A; Gilhus, Nils Erik

    2015-05-01

    The objective of this paper is to provide a synopsis of benefits and potential harmful effects of exposure to antiepileptic drugs (AEDs) via breastmilk, and present recommendations for breastfeeding in women with epilepsy. The article is based on a discretionary selection of English language articles retrieved by a literature search in the PubMed database, the LactMed database, and the authors' clinical experience. Breastfeeding is associated with benefits for the infant, including nutrition, protection against infectious and immunological disease, and promotion of development and psychological attachment. Exposure to AEDs via breastmilk could potentially produce side effects or negatively affect development. Most studies on AED transfer through breastmilk report infant serum levels well below the limit of an expected pharmacological effect. Some drugs have the potential to reach significant serum levels in breastfed infants, such as barbiturates, benzodiazepines, lamotrigine, and ethosuximide. Thus, breastfed infants should be monitored for side effects. Still, adverse symptoms are rarely reported in breastfed infants of mothers taking AEDs, and prospective studies have failed to demonstrate any negative developmental effects in children that have been exposed to AEDs via breastmilk. The nursing infant's degree of drug exposure can be minimized by breastfeeding when drug concentrations in the milk are low, reducing maternal AED dosage to prepregnancy levels, and administering mixed nutrition. Most AEDs are considered safe or moderately safe during breastfeeding. Mothers with epilepsy should be encouraged to breastfeed, provided careful monitoring of the infant. Copyright © 2015 British Epilepsy Association. Published by Elsevier Ltd. All rights reserved.

  19. Decision-Guided Recommenders with Composite Alternatives

    Science.gov (United States)

    Alodhaibi, Khalid

    2011-01-01

    Recommender systems aim to support users in their decision-making process while interacting with large information spaces and recommend items of interest to users based on preferences they have expressed, either explicitly or implicitly. Recommender systems are increasingly used with product and service selection over the Internet. Although…

  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

  1. Explaining the user experience of recommender systems

    NARCIS (Netherlands)

    Knijnenburg, B.P.; Willemsen, M.C.; Gantner, Z.; Soncu, H.; Newell, C.

    2012-01-01

    Research on recommender systems typically focuses on the accuracy of prediction algorithms. Because accuracy only partially constitutes the user experience of a recommender system, this paper proposes a framework that takes a user-centric approach to recommender system evaluation. The framework

  2. Paired analyst recommendations and internet IPOs

    NARCIS (Netherlands)

    van der Goot, T.; van Giersbergen, N.

    2008-01-01

    The paper investigates analyst recommendations for internet firms that went public during 1997-2000. Our contribution to the literature is that we match recommendations for the same firm issued by different investment banks that have published the recommendations in an interval around the same date.

  3. Cryptographically-Enhanced Privacy for Recommender Systems

    NARCIS (Netherlands)

    Jeckmans, Arjan

    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

  4. Toward Privacy-Preserving Personalized Recommendation Services

    Directory of Open Access Journals (Sweden)

    Cong Wang

    2018-02-01

    Full Text Available Recommendation systems are crucially important for the delivery of personalized services to users. With personalized recommendation services, users can enjoy a variety of targeted recommendations such as movies, books, ads, restaurants, and more. In addition, personalized recommendation services have become extremely effective revenue drivers for online business. Despite the great benefits, deploying personalized recommendation services typically requires the collection of users’ personal data for processing and analytics, which undesirably makes users susceptible to serious privacy violation issues. Therefore, it is of paramount importance to develop practical privacy-preserving techniques to maintain the intelligence of personalized recommendation services while respecting user privacy. In this paper, we provide a comprehensive survey of the literature related to personalized recommendation services with privacy protection. We present the general architecture of personalized recommendation systems, the privacy issues therein, and existing works that focus on privacy-preserving personalized recommendation services. We classify the existing works according to their underlying techniques for personalized recommendation and privacy protection, and thoroughly discuss and compare their merits and demerits, especially in terms of privacy and recommendation accuracy. We also identity some future research directions. Keywords: Privacy protection, Personalized recommendation services, Targeted delivery, Collaborative filtering, Machine learning

  5. Preference-Based Recommendations for OLAP Analysis

    Science.gov (United States)

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

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

  6. Solving the apparent diversity-accuracy dilemma of recommender systems.

    Science.gov (United States)

    Zhou, Tao; Kuscsik, Zoltán; Liu, Jian-Guo; Medo, Matús; Wakeling, Joseph Rushton; Zhang, Yi-Cheng

    2010-03-09

    Recommender systems use data on past user preferences to predict possible future likes and interests. A key challenge is that while the most useful individual recommendations are to be found among diverse niche objects, the most reliably accurate results are obtained by methods that recommend objects based on user or object similarity. In this paper we introduce a new algorithm specifically to address the challenge of diversity and show how it can be used to resolve this apparent dilemma when combined in an elegant hybrid with an accuracy-focused algorithm. By tuning the hybrid appropriately we are able to obtain, without relying on any semantic or context-specific information, simultaneous gains in both accuracy and diversity of recommendations.

  7. 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.

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

    International Nuclear Information System (INIS)

    1991-11-01

    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 radiological quantities recommended by ICRP. (author)

  9. 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.

  10. 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.

  11. Where to publish? Development of a recommender system for academic publishing

    OpenAIRE

    Gutknecht, Christian

    2014-01-01

    This thesis using the method of research design is about creating a journal recommendation system for authors. Existing systems like JANE or whichjournal.com offer recommendations based on similarities of the content. This study invests how more sophisticated factors like openness, price (subscription or article processing charge), speed of publication can be included in the ranking of a recommendation system. The recommendation should also consider the expectations from other stakeholders li...

  12. IMPLEMENTING HEALTH TECHNOLOGY ASSESSMENT-BASED RECOMMENDATIONS IN FINLAND

    DEFF Research Database (Denmark)

    Sihvo, Sinikka; Ikonen, Tuija; Mäkelä, Marjukka

    2017-01-01

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

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

    International Nuclear Information System (INIS)

    Schreckhise, R.G.; Rhoads, K.; Napier, B.A.; Ramsdell, J.V.; Davis, J.S.

    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. Recommended method to prevent leakage of titanium tube in condenser

    International Nuclear Information System (INIS)

    Wang Jun

    2010-01-01

    Qinshan Phase III is located at the estuary area of Qiantang River, where contains much slit and sand in the seawater. Since the units were put into operation, tube bundles in the condenser have been scratched, damaged or blocked by hard foreign materials, and outside wall thickness reduced and broken due to various reasons. Many tube bundles are discarded. In order to effectively prevent the re-occurrence of such problem and eliminate the existing defects, equipment management personnels of Qinshan Phase III work together with experts both from home and abroad, and perfom root-analysis for various cause of defects. After the problem root is identified, a serious of specific and effective measures are taken to prevent and eliminate the problem and reached a good effect. This paper herein is written for comments and reference. (authors)

  15. Prediction strategies in a TV recommender system - Method and experiments

    NARCIS (Netherlands)

    van Setten, M.J.; Veenstra, M.; van Dijk, Elisabeth M.A.G.; Nijholt, Antinus; Isaísas, P.; Karmakar, N.

    2003-01-01

    Predicting the interests of a user in information is an important process in personalized information systems. In this paper, we present a way to create prediction engines that allow prediction techniques to be easily combined into prediction strategies. Prediction strategies choose one or a

  16. Aircraft Hydraulic System Leakage Detection and Servicing Recommendations Method

    Science.gov (United States)

    2014-10-02

    ITA), Brazil. He is with Empresa Brasileira de Aeronáutica S.A (EMBRAER), São José dos Campos, SP, Brazil, since 2007. He works as a Development...degree in Control Engineering from Universidade Estadual de Campinas (Unicamp, 2004), Brazil, and a Master Degree in Aeronautical Engineering from...accumulators, filters, and consumers, that include all the actuators connected to the hydraulic power such as flight controls , brake and landing

  17. 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.

  18. 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.

  19. Defining and Supporting Narrative-driven Recommendation

    DEFF Research Database (Denmark)

    Bogers, Toine; Koolen, Marijn

    2017-01-01

    Research into recommendation algorithms has made great strides in recent years. However, these algorithms are typically applied in relatively straightforward scenarios: given information about a user's past preferences, what will they like in the future? Recommendation is often more complex......: evaluating recommended items never takes place in a vacuum, and it is often a single step in the user's more complex background task. In this paper, we define a specific type of recommendation scenario called narrative-driven recommendation, where the recommendation process is driven by both a log...... of the user's past transactions as well as a narrative description of their current interest(s). Through an analysis of a set of real-world recommendation narratives from the LibraryThing forums, we demonstrate the uniqueness and richness of this scenario and highlight common patterns and properties...

  20. Surgery for constipation: systematic review and practice recommendations: Graded practice and future research recommendations.

    Science.gov (United States)

    Knowles, C H; Grossi, U; Horrocks, E J; Pares, D; Vollebregt, P F; Chapman, M; Brown, S; Mercer-Jones, M; Williams, A B; Yiannakou, Y; Hooper, R J; Stevens, N; Mason, J

    2017-09-01

    This manuscript forms the final of seven that address the surgical management of chronic constipation (CC) in adults. The content coalesces results from the five systematic reviews that precede it and of the European Consensus process to derive graded practice recommendations (GPR). Summary of review data, development of GPR and future research recommendations as outlined in detail in the 'introduction and methods' paper. The overall quality of data in the five reviews was poor with 113/156(72.4%) of included studies providing only level IV evidence and only four included level I RCTs. Coalescence of data from the five procedural classes revealed that few firm conclusions could be drawn regarding procedural choice or patient selection: no single procedure dominated in addressing dynamic structural abnormalities of the anorectum and pelvic floor with each having similar overall efficacy. Of one hundred 'prototype' GPRs developed by the clinical guideline group, 85/100 were deemed 'appropriate' based on the independent scoring of a panel of 18 European experts and use of RAND-UCLA consensus methodology. The remaining 15 were all deemed uncertain. Future research recommendations included some potential RCTs but also a strong emphasis on delivery of large multinational high-quality prospective cohort studies. While the evidence base for surgery in CC is poor, the widespread European consensus for GPRs is encouraging. Professional bodies have the opportunity to build on this work by supporting the efforts of their membership to help convert the documented recommendations into clinical guidelines. © 2017 The Authors. Colorectal Disease published by John Wiley & Sons Ltd on behalf of Association of Coloproctology of Great Britain and Ireland.

  1. Extracorporeal treatment for thallium poisoning: recommendations from the EXTRIP Workgroup.

    Science.gov (United States)

    Ghannoum, Marc; Nolin, Thomas D; Goldfarb, David S; Roberts, Darren M; Mactier, Robert; Mowry, James B; Dargan, Paul I; Maclaren, Robert; Hoegberg, Lotte C; Laliberté, Martin; Calello, Diane; Kielstein, Jan T; Anseeuw, Kurt; Winchester, James F; Burdmann, Emmanuel A; Bunchman, Timothy E; Li, Yi; Juurlink, David N; Lavergne, Valery; Megarbane, Bruno; Gosselin, Sophie; Liu, Kathleen D; Hoffman, Robert S

    2012-10-01

    The EXtracorporeal TReatments In Poisoning (EXTRIP) workgroup was formed to provide recommendations on the use of extracorporeal treatment (ECTR) in poisoning. To test and validate its methods, the workgroup reviewed data for thallium (Tl). After an extensive search, the co-chairs reviewed the articles, extracted the data, summarized findings, and proposed structured voting statements following a predetermined format. A two-round modified Delphi method was chosen to reach a consensus on voting statements and RAND/UCLA Appropriateness Method to quantify disagreement. Blinded votes were compiled, returned, and discussed during a conference call. A second vote determined the final recommendations. Forty-five articles met inclusion criteria. Only case reports and case series were identified, yielding a very low quality of evidence for all recommendations. Data on 74 patients, including 11 who died, were abstracted. The workgroup concluded that Tl is slightly dialyzable and made the following recommendations: ECTR is recommended in severe Tl poisoning (1D). ECTR is indicated if Tl exposure is highly suspected on the basis of history or clinical features (2D) or if the serum Tl concentration is >1.0 mg/L (2D). ECTR should be initiated as soon as possible, ideally within 24-48 hours of Tl exposure (1D), and be continued until the serum Tl concentration is poisoning.

  2. Summary of Technical Sessions - Summary and Recommendations

    International Nuclear Information System (INIS)

    2013-01-01

    margins or the use of PSA. This session comprised 7 papers. The recommendations of the workshop can be summarized by emphasizing that a great advance has been achieved since the beginning of BEPU activities, pointing to the consolidation of practices and nevertheless identifying still pending concerns. While the added value to safety with origin in the use of BEPU methods is recognized, the full potential of BEPU approach to a comprehensive safety assessment is still pending with regard to development. The CSNI and other international organizations like IAEA should play a leading role in this advancement

  3. 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.

  4. 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.

  5. 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.

  6. Naturally occuring radiation in the Nordic countries - recommendations

    International Nuclear Information System (INIS)

    1986-01-01

    In the publication ''Report on the Applicability of International Radiation Protection Recommendations in the Nordic Countries'', published in 1976, the radiation protection authorities in Denmark, Finland, Iceland, Norway and Sweden expessed their agreement on the main principles of radiation protection. The general aspects of radiation protection were covered in the recommendations with the exception of exposure of the public from natural sources of radiation. In 1983 a working group published the report ''Naturally Occurring radiation in the Nordic Countries, - Levels'' in the Radiation Protection Information-Series from the Nordic countries. In that report the present knowledge of the population exposure from natural sources of external gamma-radiation and from radon and thoron daughters in air was reviewed as a basis for the development of the radiation protection recommendations for natural radiation. During preparation of these recommendations due account has also been taken of ICRP publication no. 39: ''Principles for Limiting Exposure of the Public to Natural Sources of Radiation'', which was published in 1984 and in which ICRP for the first time has issued more specific recommendations for natural sources. The recommendations may serve as a basis for more formal rules and regulations within each country, if this is seemed necessary. However, no attempt has been made to formulate identical rules for all the five countries since the exposure levels from natural sources, methods of application and the legal frameworks differ between the countries. (EG)

  7. Existing ingestion guidance: Problems and recommendations

    Energy Technology Data Exchange (ETDEWEB)

    Mooney, Robert R; Ziegler, Gordon L; Peterson, Donald S [Environmental Radiation Section, Division of Radiation Protection, WA (United States)

    1989-09-01

    Washington State has been developing plans and procedures for responding to nuclear accidents since the early 1970s. A key part of this process has been formulating a method for calculating ingestion pathway concentration guides (CGs). Such a method must be both technically sound and easy to use. This process has been slow and frustrating. However, much technical headway has been made in recent years, and hopefully the experience of the State of Washington will provide useful insight to problems with the existing guidance. Several recommendations are offered on ways to deal with these problems. In January 1986, the state held an ingestion pathway exercise which required the determination of allowed concentrations of isotopes for various foods, based upon reactor source term and field data. Objectives of the exercise were not met because of the complexity of the necessary calculations. A major problem was that the allowed concentrations had to be computed for each isotope and each food group, given assumptions on the average diet. To solve problems identified during that exercise, Washington developed, by March 1986, partitioned CGs. These CGs apportioned doses from each food group for an assumed mix of radionuclides expected to result from a reactor accident. This effort was therefore in place just in time for actual use during the Chernobyl fallout episode in May 1986. This technique was refined and described in a later report and presented at the 1987 annual meeting of the Health Physics Society. Realizing the technical weaknesses which still existed and a need to simplify the numbers for decision makers, Washington State has been developing computer methods to quickly calculate, from an accident specific relative mix of isotopes, CGs which allow a single radionuclide concentration for all food groups. This latest approach allows constant CGs for different periods of time following the accident, instead of peak CGs, which are good only for a short time after the

  8. Existing ingestion guidance: Problems and recommendations

    International Nuclear Information System (INIS)

    Mooney, Robert R.; Ziegler, Gordon L.; Peterson, Donald S.

    1989-01-01

    Washington State has been developing plans and procedures for responding to nuclear accidents since the early 1970s. A key part of this process has been formulating a method for calculating ingestion pathway concentration guides (CGs). Such a method must be both technically sound and easy to use. This process has been slow and frustrating. However, much technical headway has been made in recent years, and hopefully the experience of the State of Washington will provide useful insight to problems with the existing guidance. Several recommendations are offered on ways to deal with these problems. In January 1986, the state held an ingestion pathway exercise which required the determination of allowed concentrations of isotopes for various foods, based upon reactor source term and field data. Objectives of the exercise were not met because of the complexity of the necessary calculations. A major problem was that the allowed concentrations had to be computed for each isotope and each food group, given assumptions on the average diet. To solve problems identified during that exercise, Washington developed, by March 1986, partitioned CGs. These CGs apportioned doses from each food group for an assumed mix of radionuclides expected to result from a reactor accident. This effort was therefore in place just in time for actual use during the Chernobyl fallout episode in May 1986. This technique was refined and described in a later report and presented at the 1987 annual meeting of the Health Physics Society. Realizing the technical weaknesses which still existed and a need to simplify the numbers for decision makers, Washington State has been developing computer methods to quickly calculate, from an accident specific relative mix of isotopes, CGs which allow a single radionuclide concentration for all food groups. This latest approach allows constant CGs for different periods of time following the accident, instead of peak CGs, which are good only for a short time after the

  9. 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.

  10. 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...

  11. 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.

  12. 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.

  13. Fusing Recommendations for Social Bookmarking Websites

    DEFF Research Database (Denmark)

    Bogers, Toine; van den Bosch, Antal

    2011-01-01

    Social bookmarking websites are rapidly growing in popularity. Recommender systems, a promising remedy to the information overload accompanying the explosive growth in content, are designed to identify which unseen content might be of interest to a particular user, based on his or her past...... that use tag overlap and metadata provide better results for social bookmarking data sets than the transaction patterns that are used traditionally in recommender systems research. In addition, we investigate how to fuse different recommendation approaches to further improve recommendation accuracy. We...... 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...

  14. 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 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...

  15. Current Trends in Radiation Protection Recommendations

    International Nuclear Information System (INIS)

    Gomaa, M.A.

    2008-01-01

    The third generation of the ICRP recommendations was adopted in April 2007. The recommendations rely on situations (planned, emergency and existing), individual (occupational, public and patient) and radiation protection system (justification, optimization and dose limits). In the present work attention is paid to discuss the new recommendations and role of IAEA in updating its Basic Safety Standards for protection against ionizing radiation and safety of radiation sources and its impact for the national regulations

  16. Panorama of recommender systems to support learning

    OpenAIRE

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

    2015-01-01

    This chapter presents an analysis of recommender systems in Technology-Enhanced 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 systems from 35 different countries have been investigated and categorised according to a given classification framework. The reviewed systems have been classified into 7 clusters according to their c...

  17. Web Page Recommendation Using Web Mining

    OpenAIRE

    Modraj Bhavsar; Mrs. P. M. Chavan

    2014-01-01

    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...

  18. Smart Mirror: Intelligent Makeup Recommendation and Synthesis

    OpenAIRE

    Nguyen, Tam V.; Liu, Luoqi

    2017-01-01

    The female facial image beautification usually requires professional editing softwares, which are relatively difficult for common users. In this demo, we introduce a practical system for automatic and personalized facial makeup recommendation and synthesis. First, a model describing the relations among facial features, facial attributes and makeup attributes is learned as the makeup recommendation model for suggesting the most suitable makeup attributes. Then the recommended makeup attributes...

  19. Learning Points and Routes to Recommend Trajectories

    OpenAIRE

    Chen, Dawei; Ong, Cheng Soon; Xie, Lexing

    2016-01-01

    The problem of recommending tours to travellers is an important and broadly studied area. Suggested solutions include various approaches of points-of-interest (POI) recommendation and route planning. We consider the task of recommending a sequence of POIs, that simultaneously uses information about POIs and routes. Our approach unifies the treatment of various sources of information by representing them as features in machine learning algorithms, enabling us to learn from past behaviour. Info...

  20. 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

  1. What patient characteristics make clinicians recommend brief treatment?

    NARCIS (Netherlands)

    Schaefer, B. A.; Koeter, M. W. J.; Wouters, L.; Emmelkamp, P. M. G.; Schene, A. H.

    2003-01-01

    Objective: Assessing self-rated items that might have an impact on clinicians recommending brief treatment (BT) over unlimited or long-term treatment (ULT). Method: On the basis of patient self-report data we compared patients referred by clinicians to BT (n =71) with those referred to ULT (n =145).

  2. Recommendations for actions concerning supporting ITS developments for VRUs

    NARCIS (Netherlands)

    Mans, D.; Giannelos, I.; Breemen, R. van; Rood, M.; Silla, A.; Rämä, P.; Scholliers, J.; Perez, O.M.; Malone, K.

    2017-01-01

    Introduction: This paper presents some of the work conducted in FP7 VRUITS project to draw a set of general recommendations for actions at the EU level aiming to enhance the deployment of ITS systems directed to improve the safety, mobility and comfort of vulnerable road users. Method: The work

  3. 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

  4. Recommendations for Benchmarking Web Site Usage among Academic Libraries.

    Science.gov (United States)

    Hightower, Christy; Sih, Julie; Tilghman, Adam

    1998-01-01

    To help library directors and Web developers create a benchmarking program to compare statistics of academic Web sites, the authors analyzed the Web server log files of 14 university science and engineering libraries. Recommends a centralized voluntary reporting structure coordinated by the Association of Research Libraries (ARL) and a method for…

  5. ICRP-26, the recommendations on radiological protection

    International Nuclear Information System (INIS)

    Jun, J.S.

    1983-01-01

    Since the last ICRP recommendations on radiological protection was pubished in 1966 as it's publication 9, the revised edition of the recommendations had first been published in 1977, accommodating up-to-date knowledge of radiobiology and operational experiences of radiation protection built up for over a decade. In this article, the new version of the recommendations is reviewed in comparison with those of the publication 9, while the corrections and modifications made afterward are introduced together with the recent trends and responses of the experts in various countries for the pracical adoption or legislation of the recommendations. (Author)

  6. 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....

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

    Science.gov (United States)

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

    2018-03-01

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

  8. Recommendations for benefit-risk assessment methodologies and visual representations

    DEFF Research Database (Denmark)

    Hughes, Diana; Waddingham, Ed; Mt-Isa, Shahrul

    2016-01-01

    PURPOSE: The purpose of this study is to draw on the practical experience from the PROTECT BR case studies and make recommendations regarding the application of a number of methodologies and visual representations for benefit-risk assessment. METHODS: Eight case studies based on the benefit......-risk balance of real medicines were used to test various methodologies that had been identified from the literature as having potential applications in benefit-risk assessment. Recommendations were drawn up based on the results of the case studies. RESULTS: A general pathway through the case studies...

  9. Recommender Systems in Technology Enhanced Learning

    NARCIS (Netherlands)

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

    2010-01-01

    Manouselis, N., Drachsler, H., Verbert, K., & Santos, C. S. (Eds.) (2010). Recommender System in Technology Enhanced Learning. Elsevier Procedia Computer Science: Volume 1, Issue 2. Proceedings of the 1st Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL). September, 29-30,

  10. Personalized Recommender System for Digital Libraries

    Science.gov (United States)

    Omisore, M. O.; Samuel, O. W.

    2014-01-01

    The huge amount of information available online has given rise to personalization and filtering systems. Recommender systems (RS) constitute a specific type of information filtering technique that present items according to user's interests. In this research, a web-based personalized recommender system capable of providing learners with books that…

  11. Recommendations for hip fracture management in Slovenia

    Directory of Open Access Journals (Sweden)

    Radko Komadina

    2012-03-01

    Full Text Available Professional societies for traumatology, osteology and physiatrics have written the recommendations for management of acute hip fracture in the elderly in Slovenia, which include acute surgical treatment, medical rehabilitation and secondary prevention with treatment of osteoporosis. The recommendations were adopted by the Board for Surgery at the Ministry of Health of the Republic of Slovenia in June and September 2011.

  12. 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.

  13. 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...

  14. Global recommendations on physical activity for health

    Science.gov (United States)

    ... кий Español Global Strategy on Diet, Physical Activity and Health Menu Diet, Physical Activity & Health Global strategy development ... obesity Documents & publications Related links Global recommendations on physical activity for health WHO developed the "Global Recommendations on Physical Activity ...

  15. 45 CFR 1616.4 - Recommendations.

    Science.gov (United States)

    2010-10-01

    ... recipient shall similarly notify and seek recommendations from other organizations, deemed appropriate by the recipient, that have knowledge of the legal needs of persons in the community unable to afford... § 1616.4 Recommendations. (a) Before filling an attorney position, a recipient shall notify the organized...

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

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

    2010-12-22

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

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

    Directory of Open Access Journals (Sweden)

    Mohamadreza Karimi Alavije

    2015-06-01

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

  18. 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.

  19. Physical activity recommendations: an alternative approach using energy expenditure.

    Science.gov (United States)

    Mudd, Lanay M; Rafferty, Ann P; Reeves, Mathew J; Pivarnik, James M

    2008-10-01

    Most adults do not meet the American College of Sports Medicine and Centers for Disease Control and Prevention (ACSM/CDC) physical activity recommendations. Even fewer meet the more extreme Institute of Medicine (IOM) physical activity recommendations. Compliance with either recommendation has been conventionally assessed by combining frequencies and durations of self-reported activities. Leisure-time energy expenditure is a cumulative measure of activity that offers an alternative method of defining compliance. To calculate the leisure-time energy expenditure of adults complying with the ACSM/CDC or the IOM physical activity recommendations determined by conventional measures and to reexamine compliance with the IOM recommendation using energy expenditure criteria. National, cross-sectional data from the 2000 Behavioral Risk Factor Surveillance System determined the mode, frequency, and duration of up to two leisure-time activities performed by adults. Four mutually exclusive activity groups (Non-, Low-, ACSM/CDC-, and IOM-Active) were defined on the basis of frequencies and durations of reported activities. Leisure-time energy expenditure (kcal x kg(-1) x wk(-1)) was calculated per respondent. The energy expenditure threshold for meeting the IOM recommendation was calculated as 21 kcal x kg(-1) x wk(-1). Of the 162,669 respondents included in the analyses, 29.9% were Nonactive, whereas 42.3%, 23.3%, and 4.5% were Low-, ACSM/CDC-, and IOM-Active, respectively. Median leisure-time energy expenditure values were 9.0, 27.4, and 63.0 kcal x kg(-1) x wk(-1) for Low-, ACSM/CDC-, and IOM-Active groups, respectively. When using energy expenditure criteria, compliance with the IOM recommendation rose to 27.7% of respondents. Compliance with the IOM physical activity recommendation dramatically increased when assessed by energy expenditure compared with conventional criteria, thereby highlighting the potential bias of conventional methods. A significant proportion of adults

  20. 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.

  1. Using the Context of User Feedback in Recommender Systems

    Directory of Open Access Journals (Sweden)

    Ladislav Peska

    2016-12-01

    Full Text Available Our work is generally focused on recommending for small or medium-sized e-commerce portals, where explicit feedback is absent and thus the usage of implicit feedback is necessary. Nonetheless, for some implicit feedback features, the presentation context may be of high importance. In this paper, we present a model of relevant contextual features affecting user feedback, propose methods leveraging those features, publish a dataset of real e-commerce users containing multiple user feedback indicators as well as its context and finally present results of purchase prediction and recommendation experiments. Off-line experiments with real users of a Czech travel agency website corroborated the importance of leveraging presentation context in both purchase prediction and recommendation tasks.

  2. 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...

  3. 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.

  4. A hybrid personalized data recommendation approach for geoscience data sharing

    Science.gov (United States)

    WANG, M.; Wang, J.

    2016-12-01

    Recommender systems are effective tools helping Internet users overcome information overloading. The two most widely used recommendation algorithms are collaborating filtering (CF) and content-based filtering (CBF). A number of recommender systems based on those two algorithms were developed for multimedia, online sells, and other domains. Each of the two algorithms has its advantages and shortcomings. Hybrid approaches that combine these two algorithms are better choices in many cases. In geoscience data sharing domain, where the items (datasets) are more informative (in space and time) and domain-specific, no recommender system is specialized for data users. This paper reports a dynamic weighted hybrid recommendation algorithm that combines CF and CBF for geoscience data sharing portal. We first derive users' ratings on items with their historical visiting time by Jenks Natural Break. In the CBF part, we incorporate the space, time, and subject information of geoscience datasets to compute item similarity. Predicted ratings were computed with k-NN method separately using CBF and CF, and then combined with weights. With training dataset we attempted to find the best model describing ideal weights and users' co-rating numbers. A logarithmic function was confirmed to be the best model. The model was then used to tune the weights of CF and CBF on user-item basis with test dataset. Evaluation results show that the dynamic weighted approach outperforms either solo CF or CBF approach in terms of Precision and Recall.

  5. 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.

  6. Recommendations in the use of portal images

    International Nuclear Information System (INIS)

    Garcia, R.; Bodez, V.; Vial, L.; Le Thanh, H.; Reboul, F.

    2004-01-01

    Technical radiotherapy progress drive the practices towards increasingly more precise irradiations. The recent developments of the various imaging methods and specialized software made more controls possible. The fields of investigations relate to the quality assurance of the irradiation, the reproducibility of positioning, the movements evaluations and real time dosimetry. Radiotherapy finds, in the images exploitation, a strong potential in improving quality treatments, however it is conditioned by the implementation of ambitious programs, time consuming, but essential to grant the precision of virtual simulations and the daily practice. If all the existing technical devices and software offer higher tools than the current practices, the recommendations can be limited to the insurance of a sufficient precision and reproducibility of the whole treatments. It is thus fundamental to be able to filter the errors, the systematic deviations and to control the statistics of positioning and movements. Each radiotherapy department must apply an adapted program to each site and exploit the imaging chain to maintain its results. (authors)

  7. Receiving recommendations and providing feedback : the user-experience of a recommender system

    NARCIS (Netherlands)

    Knijnenburg, B.P.; Willemsen, M.C.; Hirtbach, S.; Buccafurri, F.; Semeraro, G.

    2010-01-01

    This paper systematically evaluates the user experience of a recommender system. Using both behavioral data and subjective measures of user experience, we demonstrate that choice satisfaction and system effectiveness increase when a system provides personalized recommendations (compared to the same

  8. A Sentiment-Enhanced Hybrid Recommender System for Movie Recommendation: A Big Data Analytics Framework

    OpenAIRE

    Wang, Yibo; Wang, Mingming; Xu, Wei

    2018-01-01

    Movie recommendation in mobile environment is critically important for mobile users. It carries out comprehensive aggregation of user’s preferences, reviews, and emotions to help them find suitable movies conveniently. However, it requires both accuracy and timeliness. In this paper, a movie recommendation framework based on a hybrid recommendation model and sentiment analysis on Spark platform is proposed to improve the accuracy and timeliness of mobile movie recommender system. In the propo...

  9. 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.

  10. The direction of ICRP - new recommendations

    International Nuclear Information System (INIS)

    Clarke, R.H.

    2004-01-01

    ICRP has been stimulating discussion, during the past three years, on the best way of expressing protection philosophy for the next publication of its Recommendations, which it hopes will be by 2005. The present recommendations were initiated by Publication 60 in 1990 and have subsequently been complemented by additional publications over the last twelve years. In this paper the totality of those recommendations is summarised and used to indicate a way forward to produce a simplified and more coherent statement of protection philosophy for the start of the 21. century. (author)

  11. Partition-based Collaborative Tensor Factorization for POI Recommendation

    Institute of Scientific and Technical Information of China (English)

    Wenjing Luan; Guanjun Liu; Changjun Jiang; Liang Qi

    2017-01-01

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

  12. Movie Recommendation using Random Walks over the Contextual Graph

    DEFF Research Database (Denmark)

    Bogers, Toine

    Recommender systems have become an essential tool in fighting information overload. However, the majority of recommendation algorithms focus only on using ratings information, while disregarding information about the context of the recommendation process. We present ContextWalk, a recommendation...

  13. Verbal and numerical consumer recommendations: switching between recommendation formats leads to preference inconsistencies.

    Science.gov (United States)

    Maciejovsky, Boris; Budescu, David V

    2013-06-01

    Many Web sites provide consumers with product recommendations, which are typically presented by a sequence of verbal reviews and numerical ratings. In three experiments, we demonstrate that when participants switch between formats (e.g., from verbal to numerical), they are more prone to preference inconsistencies than when they aggregate the recommendations within the same format (e.g., verbal). When evaluating recommendations, participants rely primarily on central-location measures (e.g., mean) and less on other distribution characteristics (e.g., variance). We explain our findings within the theoretical framework of stimulus-response compatibility and we make practical recommendations for the design of recommendation systems and Web portals.

  14. Naturally occurring radioactivity in the Nordic countries. Recommendations

    International Nuclear Information System (INIS)

    2000-01-01

    radiation that are amenable to control and which can cause doses that are not trivial. Control of exposure of air crew to cosmic radiation is, however, dealt with in a separate recommendation prepared together with the Nordic civil aviation authorities. The Nordic Radiation Protection Authorities approved the revised recommendations at a meeting in Copenhagen, March 2000, and adopted them for publication in the Flag-book series. The recommendations are written primarily for other authorities and policy-makers in the Nordic countries but they may also be of interest to radiation protection professionals and authorities outside the Nordic countries and to individuals with some basic knowledge of natural radioactivity. The new recommendations may serve as a basis for more formal rules, regulations and recommendations within each country if this is deemed necessary. However, no attempt has been made to formulate identical regulations for all the five Nordic countries since the exposure levels from natural sources, methods of application and the legal frameworks differ between the countries

  15. Viewpoint Reading Conference Recommendations in a Wider ...

    African Journals Online (AJOL)

    Viewpoint Reading Conference Recommendations in a Wider Context of Social Change. ... Southern African Journal of Environmental Education. Journal Home · ABOUT THIS JOURNAL ... AJOL African Journals Online. HOW TO USE AJOL.

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

    African Journals Online (AJOL)

    Rachel Magdalena (Dalena) van Rooyen

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

  17. A Policy Language for Modelling Recommendations

    Science.gov (United States)

    Abou El Kalam, Anas; Balbiani, Philippe

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

  18. 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 ...

  19. Strategic Arrivals Recommendation Tool, Phase I

    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...

  20. Electronic Resources Management System: Recommendation Report 2017

    KAUST Repository

    Ramli, Rindra M.

    2017-01-01

    This recommendation report provides an overview of the selection process for the new Electronic Resources Management System. The library has decided to move away from Innovative Interfaces Millennium ERM module. The library reviewed 3 system

  1. 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.

  2. AAP Updates Recommendations on Car Seats

    Science.gov (United States)

    ... Size Email Print Share AAP Updates Recommendations on Car Seats Page Content Article Body Children should ride ... of approved car safety seats. Healthy Children Radio: Car Seat Safety Dennis Durbin, MD, FAAP, lead author ...

  3. 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......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...... antagonists (netupitant and rolapitant) have been included in the updated recommendations as additional options to aprepitant or fosaprepitant. Addition of one of these NK1-receptor antagonists to a combination of a 5-HT3-receptor antagonist and dexamethasone is recommended in both non-AC HEC and AC HEC...

  4. Recommended radiological controls for tritium operations

    International Nuclear Information System (INIS)

    Mansfield, G.

    1992-01-01

    This informal report presents recommendations for an adequate radiological protection program for tritium operations. Topics include hazards analysis, facility design, personnel protection equipment, training, operational procedures, radiation monitoring, to include surface and airborne tritium contamination, and program management

  5. 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

  6. Farmers' Characteristics and Adoption' of Recommended Practices ...

    African Journals Online (AJOL)

    into cooperatives and increased agricultural extension education to enhance communication were recommended. ,. Key words: ... I Further actions by the Federal government to fully utilize the ... by constructing tube wells, wash bore, purchase.

  7. A recommender system for prostate cancer websites.

    Science.gov (United States)

    Witteman, Holly; Chignell, Mark; Krahn, Murray

    2008-11-06

    One of the challenges for people seeking health information online is the difficulty in locating health Websites that are personally relevant, credible and useful. We developed a Web-based recommender system in order to help address this problem in the context of prostate cancer. We are conducting an online randomized controlled trial to evaluate the accuracy of its recommendations and to compare the efficacy of content-based and collaborative filtering.

  8. A Personalized Word of Mouth Recommender Model

    OpenAIRE

    Chihli Hung

    2008-01-01

    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 stu...

  9. Building Personalized and Non Personalized Recommendation Systems

    OpenAIRE

    SNEHA KHATWANI; DR. M.B. CHANDAK

    2016-01-01

    The contents of e-Commerce such as music, movies, books and electronics goods are necessary for a modern life style. But, it becomes difficult to find content according to users likes and users preference. An approach which produces desirable results to solve such the problem is to develop "Recommender System." The Recommender System of an e-Commerce site selects and suggests the contents to meet user's preference automatically using data sets of previous users stored in database. There ca...

  10. Reducing Delay in Diagnosis: Multistage Recommendation Tracking.

    Science.gov (United States)

    Wandtke, Ben; Gallagher, Sarah

    2017-11-01

    The purpose of this study was to determine whether a multistage tracking system could improve communication between health care providers, reducing the risk of delay in diagnosis related to inconsistent communication and tracking of radiology follow-up recommendations. Unconditional recommendations for imaging follow-up of all diagnostic imaging modalities excluding mammography (n = 589) were entered into a database and tracked through a multistage tracking system for 13 months. Tracking interventions were performed for patients for whom completion of recommended follow-up imaging could not be identified 1 month after the recommendation due date. Postintervention compliance with the follow-up recommendation required examination completion or clinical closure (i.e., biopsy, limited life expectancy or death, or subspecialist referral). Baseline radiology information system checks performed 1 month after the recommendation due date revealed timely completion of 43.1% of recommended imaging studies at our institution before intervention. Three separate tracking interventions were studied, showing effectiveness between 29.0% and 57.8%. The multistage tracking system increased the examination completion rate to 70.5% (a 52% increase) and reduced the rate of unknown follow-up compliance and the associated risk of delay in diagnosis to 13.9% (a 74% decrease). Examinations completed after tracking intervention generated revenue of 4.1 times greater than the labor cost. Performing sequential radiology recommendation tracking interventions can substantially reduce the rate of unknown follow-up compliance and add value to the health system. Unknown follow-up compliance is a risk factor for delay in diagnosis, a form of preventable medical error commonly identified in malpractice claims involving radiologists and office-based practitioners.

  11. Recommendation-Aware Smartphone Sensing System

    OpenAIRE

    Chen, Mu-Yen; Wu, Ming-Ni; Chen, Chia-Chen; Chen, Young-Long; Lin, Hsien-En

    2014-01-01

    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 Indoo...

  12. Optimizing Greenhouse Rice Production: Summary of Recommendations

    OpenAIRE

    Eddy, Robert; Acosta, Kevin; Liu, Yisi; Russell, Michael

    2016-01-01

    This publication provides a single-page chart summarizing our protocols for growing Rice (japonica). Split into three production goals, recommendations are given for photoperiod, temperature, lighting, container, root medium, planting density, irrigation, fertilization, algae control and fungus gnat control. This version updates our fertilization frequency, pot size, root medium and algae control recommendations. This document summarizes a series of questions and answers originally posted ...

  13. 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

  14. Multirelational Social Recommendations via Multigraph Ranking.

    Science.gov (United States)

    Mao, Mingsong; Lu, Jie; Zhang, Guangquan; Zhang, Jinlong

    2017-12-01

    Recommender systems aim to identify relevant items for particular users in large-scale online applications. The historical rating data of users is a valuable input resource for many recommendation models such as collaborative filtering (CF), but these models are known to suffer from the rating sparsity problem when the users or items under consideration have insufficient rating records. With the continued growth of online social networks, the increased user-to-user relationships are reported to be helpful and can alleviate the CF rating sparsity problem. Although researchers have developed a range of social network-based recommender systems, there is no unified model to handle multirelational social networks. To address this challenge, this paper represents different user relationships in a multigraph and develops a multigraph ranking model to identify and recommend the nearest neighbors of particular users in high-order environments. We conduct empirical experiments on two real-world datasets: 1) Epinions and 2) Last.fm, and the comprehensive comparison with other approaches demonstrates that our model improves recommendation performance in terms of both recommendation coverage and accuracy, especially when the rating data are sparse.

  15. Recommendations of the French academy of medicine

    International Nuclear Information System (INIS)

    The, G. de; Tubiana, M.

    2002-01-01

    Recently the French academy of medicine (FAM) decided to make a point concerning radiological protection and issued the 6 following recommendations and statements: 1) FAM recommends the global reduction of the radiation dose received by patients during medical examination; 2) FAM recommends to promote and develop the research work concerning the biological effects of doses lower than 100 mSv; 3) FAM recommends to reject the linear-non threshold model for low dose radiation; 4) FAM agrees with the UNSCEAR report about the consequences of the Chernobyl accident, apart from the early fatalities in rescue workers, the main health effect is an increase risk of thyroid cancer in children, in particular, there has been no evidence of increase in other cancer incidence or in congenital malformation; 5) FAM recommends the introduction of the dari as a practical dose sub-unit, 1 dari represents the dose received by the whole body for 1 year due to natural radioactivity; and 6) FAM recommends that the European directive concerning the annual limit dose, maintains its value to 100 mSv a year. (A.C.)

  16. IRCAD recommendation on safe laparoscopic cholecystectomy.

    Science.gov (United States)

    Conrad, Claudius; Wakabayashi, Go; Asbun, Horacio J; Dallemagne, Bernard; Demartines, Nicolas; Diana, Michele; Fuks, David; Giménez, Mariano Eduardo; Goumard, Claire; Kaneko, Hironori; Memeo, Riccardo; Resende, Alexandre; Scatton, Olivier; Schneck, Anne-Sophie; Soubrane, Olivier; Tanabe, Minoru; van den Bos, Jacqueline; Weiss, Helmut; Yamamoto, Masakazu; Marescaux, Jacques; Pessaux, Patrick

    2017-11-01

    An expert recommendation conference was conducted to identify factors associated with adverse events during laparoscopic cholecystectomy (LC) with the goal of deriving expert recommendations for the reduction of biliary and vascular injury. Nineteen hepato-pancreato-biliary (HPB) surgeons from high-volume surgery centers in six countries comprised the Research Institute Against Cancer of the Digestive System (IRCAD) Recommendations Group. Systematic search of PubMed, Cochrane, and Embase was conducted. Using nominal group technique, structured group meetings were held to identify key items for safer LC. Consensus was achieved when 80% of respondents ranked an item as 1 or 2 (Likert scale 1-4). Seventy-one IRCAD HPB course participants assessed the expert recommendations which were compared to responses of 37 general surgery course participants. The IRCAD recommendations were structured in seven statements. The key topics included exposure of the operative field, appropriate use of energy device and establishment of the critical view of safety (CVS), systematic preoperative imaging, cholangiogram and alternative techniques, role of partial and dome-down (fundus-first) cholecystectomy. Highest consensus was achieved on the importance of the CVS as well as dome-down technique and partial cholecystectomy as alternative techniques. The put forward IRCAD recommendations may help to promote safe surgical practice of LC and initiate specific training to avoid adverse events. © 2017 Japanese Society of Hepato-Biliary-Pancreatic Surgery.

  17. 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.

  18. Australian health professionals' health website recommendation trends.

    Science.gov (United States)

    Usher, Wayne T

    2011-08-01

    This study was concerned with indentifying motivations and trends associated with a health website recommendation from eight of Australia's major health professions to the health consumer. Health professions included in this study are: psychiatrists, general practitioners, social workers, dietitians, chiropractors, physiotherapists, optometrists and pharmacists. An online survey (www.limesurvey.org) was developed from a common set of questions negotiated between all eight health professions. Survey questions were constructed in an attempt to identify participants' reasons for or against recommending a health website to a patient. A 5-point scale (not, slightly, neutral, moderately, strongly) to measure influence was used throughout the question set. This study indicates that Australian general practitioners (GPs) were the highest Australian health professionals to undertake a health website recommendation (86%), followed by psychiatrists (80%), with the lowest being physiotherapists (42%) and optometrists (33%). A profile of the Australian health professional who recommends a health website is identified as male, aged above 50 years, has had more than 10 years experience, works in a major city, is in private practice and has patient numbers exceeding 500 in a 12-month period (2009). Recommendations from this study include the need to develop mechanisms that identify high-quality online medical information and the development and implementation of Continuing Professional Development (CPD) courses which up-skill health professionals concerning the recommendation of health websites for health care delivery.

  19. Clinical practice recommendations for bipolar disorder.

    Science.gov (United States)

    Malhi, G S; Adams, D; Lampe, L; Paton, M; O'Connor, N; Newton, L A; Walter, G; Taylor, A; Porter, R; Mulder, R T; Berk, M

    2009-01-01

    To provide clinically relevant evidence-based recommendations for the management of bipolar disorder in adults that are informative, easy to assimilate and facilitate clinical decision-making. A comprehensive literature review of over 500 articles was undertaken using electronic database search engines (e.g. MEDLINE, PsychINFO and Cochrane reviews). In addition articles, book chapters and other literature known to the authors were reviewed. The findings were then formulated into a set of recommendations that were developed by a multidisciplinary team of clinicians who routinely deal with mood disorders. These preliminary recommendations underwent extensive consultative review by a broader advisory panel that included experts in the field, clinical staff and patient representatives. The clinical practice recommendations for bipolar disorder (bipolar CPR) summarise evidence-based treatments and provide a synopsis of recommendations relating to each phase of the illness. They are designed for clinical use and have therefore been presented succinctly in an innovative and engaging manner that is clear and informative. These up-to-date recommendations provide an evidence-based framework that incorporates clinical wisdom and consideration of individual factors in the management of bipolar disorder. Further, the novel style and practical approach should promote their uptake and implementation.

  20. Review of data and methods recommended in the international code of practice for dosimetry IAEA Technical Reports Series No. 381, The Use of Plane Parallel Ionization Chambers in High Energy Electron and Photon beams. Final report of the co-ordinated research project on dose determination with plane parallel ionization chambers in therapeutic electron and photon beams

    International Nuclear Information System (INIS)

    Dusautoy, A.; Roos, M.; Svensson, H.; Andreo, P.

    2000-01-01

    An IAEA Co-ordinated Research Project was designed to validate the data and procedures included in the International Code of Practice Technical Reports Series (TRS) No. 381, ''The Use of Plane Parallel Ionization Chambers in High Energy Electron and Photon Beams''. This work reviews and analyses the procedures used and the data obtained by the participants of the project. The analysis shows that applying TRS-381 generally produces reliable results. The determination of absorbed dose to water using the electron method in reference conditions is within the stated uncertainties (2.9%). Comparisons have shown TRS-381 is consistent with the AAPM TG-39 protocol within 1% for measurements made in water. Based on the analysis, recommendations are given with respect to: (i) the use of plane parallel ionization chambers of the Markus type, (ii) the values for the fluence correction factor for cylindrical chambers, (iii) the value of the wall correction factor for the Roos chamber in 60 Co beams, and (iv) the use of plastic phantoms and the values of the fluence correction factors. (author)

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

    OpenAIRE

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

    2011-01-01

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

  2. 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.

  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. Customer satisfaction surveys: Methodological recommendations for financial service providers

    Directory of Open Access Journals (Sweden)

    Đorđić Marko

    2010-01-01

    Full Text Available This methodological article investigates practical challenges that emerge when conducting customer satisfaction surveys (CSS for financial service providers such as banks, insurance or leasing companies, and so forth. It displays methodological recommendations in reference with: (a survey design, (b sampling, (c survey method, (d questionnaire design, and (e data acquisition. Article provides appropriate explanations that usage of: two-stage survey design, SRS method, large samples, and rigorous fieldwork preparation can enhance the overall quality of CSS in financial services. Proposed methodological recommendations can primarily be applied to the primary quantitative marketing research in retail financial services. However, majority of them can be successfully applied when conducting primary quantitative marketing research in corporate financial services as well. .

  5. Americans Do Not Meet Federal Dietary Recommendations1

    Science.gov (United States)

    Krebs-Smith, Susan M.; Guenther, Patricia M.; Subar, Amy F.; Kirkpatrick, Sharon I.; Dodd, Kevin W.

    2010-01-01

    A longstanding goal of dietary surveillance has been to estimate the proportion of the population with intakes above or below a target, such as a recommended level of intake. However, until now, statistical methods for assessing the alignment of food intakes with recommendations have been lacking. The purposes of this study were to demonstrate the National Cancer Institute’s method of estimating the distribution of usual intake of foods and determine the proportion of the U.S. population who does not meet federal dietary recommendations. Data were obtained from the 2001–2004 NHANES for 16,338 persons, aged 2 y and older. Quantities of foods reported on 24-h recalls were translated into amounts of various food groups using the MyPyramid Equivalents Database. Usual dietary intake distributions were modeled, accounting for sequence effect, weekend/weekday effect, sex, age, poverty income ratio, and race/ethnicity. The majority of the population did not meet recommendations for all of the nutrient-rich food groups, except total grains and meat and beans. Concomitantly, overconsumption of energy from solid fats, added sugars, and alcoholic beverages (“empty calories”) was ubiquitous. Over 80% of persons age ≥71 y and over 90% of all other sex-age groups had intakes of empty calories that exceeded the discretionary calorie allowances. In conclusion, nearly the entire U.S. population consumes a diet that is not on par with recommendations. These findings add another piece to the rather disturbing picture that is emerging of a nation’s diet in crisis. PMID:20702750

  6. Extracorporeal treatment for barbiturate poisoning: recommendations from the EXTRIP Workgroup.

    Science.gov (United States)

    Mactier, Robert; Laliberté, Martin; Mardini, Joelle; Ghannoum, Marc; Lavergne, Valery; Gosselin, Sophie; Hoffman, Robert S; Nolin, Thomas D

    2014-09-01

    The EXTRIP (Extracorporeal Treatments in Poisoning) Workgroup conducted a systematic review of barbiturate poisoning using a standardized evidence-based process to provide recommendations on the use of extracorporeal treatment (ECTR) in patients with barbiturate poisoning. The authors reviewed all articles, extracted data, summarized key findings, and proposed structured voting statements following a predetermined format. A 2-round modified Delphi method was used to reach a consensus on voting statements, and the RAND/UCLA Appropriateness Method was used to quantify disagreement. 617 articles met the search inclusion criteria. Data for 538 patients were abstracted and evaluated. Only case reports, case series, and nonrandomized observational studies were identified, yielding a low quality of evidence for all recommendations. Using established criteria, the workgroup deemed that long-acting barbiturates are dialyzable and short-acting barbiturates are moderately dialyzable. Four key recommendations were made. (1) The use of ECTR should be restricted to cases of severe long-acting barbiturate poisoning. (2) The indications for ECTR in this setting are the presence of prolonged coma, respiratory depression necessitating mechanical ventilation, shock, persistent toxicity, or increasing or persistently elevated serum barbiturate concentrations despite treatment with multiple-dose activated charcoal. (3) Intermittent hemodialysis is the preferred mode of ECTR, and multiple-dose activated charcoal treatment should be continued during ECTR. (4) Cessation of ECTR is indicated when clinical improvement is apparent. This report provides detailed descriptions of the rationale for all recommendations. In summary, patients with long-acting barbiturate poisoning should be treated with ECTR provided at least one of the specific criteria in the first recommendation is present. Copyright © 2014 National Kidney Foundation, Inc. Published by Elsevier Inc. All rights reserved.

  7. A fuzzy recommendation system for daily water intake

    OpenAIRE

    Bin Dai; Rung-Ching Chen; Shun-Zhi Zhu; Chung-Yi Huang

    2016-01-01

    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 a...

  8. [Management of breast nipple discharge: Recommendations].

    Science.gov (United States)

    Ouldamer, L; Kellal, I; Legendre, G; Ngô, C; Chopier, J; Body, G

    2015-12-01

    To investigate diagnostic value of imaging procedures and management strategies of the patients with nipple discharge (ND) to establish management recommendations. Bibliographical search in French and English languages by consultation of PubMed, Cochrane and Embase databases. Although, all ND require an systematic evaluation guided by clinical data, bloody ND could be a predictor of breast cancer risk among different colors of discharge particularly in patients of more than 50 years (LE2). The mammography and breast ultrasography are the imaging procedures to realize in first intention (grade C) but they turn out useful only when they detect radiological abnormalities (LE4). Galactography has only a localizing value of possible ductal abnormalities (when standard imaging procedures is not contributive) (LE4). Thus, in the diagnostic investigation of a suspicious ND, galactography it is not recommended in standard practice (grade C). The breast Magnetic Resonance Imaging (MRI) is recommended when breast standard imaging procedures are not contributive (grade C). The ND cytology is useful only if it is positive (i.e. reveal cancer cells). There is no proof on the diagnostic performance of the cytological analysis of the ND to allow a recommendation on its realization or not. In front of a suspicious ND, when breast-imaging procedures reveals an associated radiological lesion, an adapted percutaneous biopsy is recommended by percutaneous way (grade C). Vacuum-assisted breast biopsies is a diagnostic tool but can also be therapeutic allowing to avoid surgery in case of benign lesion but current literature data do not allow recommendations on the therapeutic aspect of vacuum-assisted breast biopsy (LE4). In the absence of associated radiological signal, and in case of reproducible bloody persistent ND, a pyramidectomy is recommended (grade C). Copyright © 2015 Elsevier Masson SAS. All rights reserved.

  9. 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.

  10. Possible implications of draft ICRP recommendations

    International Nuclear Information System (INIS)

    2003-01-01

    The Committee on Radiation Protection and Public Health (CRPPH) of the OECD Nuclear Energy Agency (NEA) has, since its inception, worked to develop and improve international norms in the area of radiological protection of the public, workers and the environment. International radiological protection norms continue to evolve, with significant new steps having been taken by the International Radiological Protection Commission (ICRP). Since the issuance of its 1990 recommendations, which form the basis of the international system of radiological protection, the ICRP has continued to add to them. The sum of these recommendations has become overly complicated and at times incoherent. In 1999 the ICRP therefore began to re-evaluate its recommendations with the aim of consolidation, simplification and clarification. New ICRP recommendations are due to be published in 2005. The CRPPH is contributing to the development of these new recommendations by providing the views of regulators and practitioners from its member countries. This report summarises the views of the CRPPH regarding the conceptual framework that the ICRP has recently proposed as the basis for its forthcoming detailed recommendations. The CRPPH highly appreciates the open stakeholder process that the ICRP has initiated to gather input for the development of new recommendations. This document, which is supported by the NEA Committee on Radiation Protection and Public Health, and by the NEA Radioactive Waste Management Committee, provides detailed suggestions with regard to the proposed ICRP framework. The stakeholder views expressed in this report have been presented to the ICRP at the second NEA/ICRP Forum in April 2003, and have persuaded the ICRP to reintroduce several key concepts into its proposed new system. (author)

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

    Directory of Open Access Journals (Sweden)

    Nilendu Sarma

    2017-01-01

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

  12. Recommendations for prevention of radiation accident in industrial gammagraphy

    International Nuclear Information System (INIS)

    Souza, L.S.; Silva, F.C.A. da

    2017-01-01

    Industrial Gammagraphy plays an important role in the quality control of various materials and components. It is classified by the International Atomic Energy Agency - IAEA as Category 2, due to its radiation risk caused by the use of high activity radioactive sources. This risk is based on the harmful consequences of human health, described in some accidents in the world, due to failures. In 2012, the 'Brazilian National Workshop on Accident Prevention in Industrial Gammagraphy' was carried out by DIAPI/CNEN, with the objective of disseminating knowledge about radiation accidents. At the time, the IRD/CNEN-RJ carried out a survey with the 75 participants using a form with 22 recommendations to prevent radiological accidents, in order to select the 10 most voted. A statistical study, using the 'Frequency Distribution' method, was performed to define 10 recommendations. The percentage and vote results were obtained by category of the participants and the 10 most important recommendations were defined to prevent radiation accidents. The recommendation that came in first place was 'Always use an individual monitor with alarm during all work'

  13. IPTV program recommendation based on combination strategies

    Directory of Open Access Journals (Sweden)

    Li Hao

    2018-01-01

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

  14. Weighted hybrid technique for recommender system

    Science.gov (United States)

    Suriati, S.; Dwiastuti, Meisyarah; Tulus, T.

    2017-12-01

    Recommender system becomes very popular and has important role in an information system or webpages nowadays. A recommender system tries to make a prediction of which item a user may like based on his activity on the system. There are some familiar techniques to build a recommender system, such as content-based filtering and collaborative filtering. Content-based filtering does not involve opinions from human to make the prediction, while collaborative filtering does, so collaborative filtering can predict more accurately. However, collaborative filtering cannot give prediction to items which have never been rated by any user. In order to cover the drawbacks of each approach with the advantages of other approach, both approaches can be combined with an approach known as hybrid technique. Hybrid technique used in this work is weighted technique in which the prediction score is combination linear of scores gained by techniques that are combined.The purpose of this work is to show how an approach of weighted hybrid technique combining content-based filtering and item-based collaborative filtering can work in a movie recommender system and to show the performance comparison when both approachare combined and when each approach works alone. There are three experiments done in this work, combining both techniques with different parameters. The result shows that the weighted hybrid technique that is done in this work does not really boost the performance up, but it helps to give prediction score for unrated movies that are impossible to be recommended by only using collaborative filtering.

  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. PMID:27819073

  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. Nebraska family practitioners' infant feeding recommendations.

    Science.gov (United States)

    Auerbach, K G; Walburn, J

    1987-01-01

    The authors conducted an anonymous survey of 220 Nebraska family and general practitioners' attitudes and practice recommendations for infant feeding. Most practitioners' attitudes reflect published American Academy of Pediatrics (AAP) guidelines regarding using commercial formula for bottle-feeding babies rather than evaporated milk-based formulations. Ninety-two per cent agreed with recommendations relating to the need for fluoride supplementation when fluoride was unavailable in the water supply and 93% agreed that whole cow's milk was inappropriate in the infant's first year. Another 68% felt similarly about evaporated milk formulas. However, 32% of board certified and 53% of nonboard certified physicians continue to believe that early solid foods will reduce night waking. In 80% of the cases, practice recommendations disagreed with AAP guidelines by prescribing vitamin supplements for bottle-feeding babies receiving proprietary infant formulas. Additionally, two-thirds of the practitioners recommended unnecessary water complements and 62% suggested formula supplementation for breastfeeding babies. Solid foods and whole cow's milk for both breastfeeding and bottle-feeding babies often were recommended earlier than the second half of the first year.

  18. 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.

  19. Ada training evaluation and recommendations from the Gamma Ray Observatory Ada Development Team

    International Nuclear Information System (INIS)

    1985-10-01

    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

  20. Correspondence of the ICRP database of dose coefficients (1996) to 2007 recommendations of the ICRP

    International Nuclear Information System (INIS)

    Kadatskaya, M.M.

    2012-01-01

    The new IAEA international safety standards, issued in 2011, recommend in practical implementation of the 2007 Recommendations of the ICRP continue to use dosimetric database developed in 1996. This article presents method and results of the calculation of committed effective dose of internal exposure in accordance with the new definition of this quantity given in 2007 Recommendations of the ICRP. It is shown that in the control of internal doses in accordance with the 2007 Recommendations of the ICRP it is allowed to use dose factors which were released in 1996. (authors)

  1. Cancer Prevention Recommendations: Impact of Adherence.

    Science.gov (United States)

    Maresso, Karen Colbert; Hawk, Ernest

    2016-08-01

    To review the relationship between adherence to cancer prevention guidelines published by the American Cancer Society and the World Cancer Research Fund/American Institute for Cancer Research and reductions in cancer incidence, cancer mortality, cardiovascular mortality, and overall mortality. Current cancer prevention guidelines published by the American Cancer Society and the American Institute for Cancer Research, journal articles published between 2004 and 2016, and internet resources. Evidence from a number of large observational studies indicates that following current cancer prevention recommendations in a comprehensive manner results in significant reductions in both cancer risk and cancer mortality, as well as in cardiovascular mortality and overall mortality. Nurses can take the lead in familiarizing patients and families with established cancer prevention recommendations and resources that may assist patients in implementing them comprehensively in their daily lives, as well as in discussing the substantial health benefits of adhering to the recommendations. Copyright © 2016 Elsevier Inc. All rights reserved.

  2. Useful and usable alarm systems : recommended properties

    International Nuclear Information System (INIS)

    Veland, Oeystein; Kaarstad, Magnhild; Seim, Lars Aage; Foerdestroemmen, Nils T.

    2001-01-01

    This document describes the result of a study on alarm systems conducted by IFE in Halden. The study was initiated by the Norwegian Petroleum Directorate. The objective was to identify and formulate a set of important properties for useful and usable alarm systems. The study is mainly based on review of the latest international recognised guidelines and standards on alarm systems available at the time of writing, with focus on realistic solutions from research and best practice from different industries. In addition, IFE experiences gathered through specification and design of alarm systems and experimental activities in HAMMLAB and bilateral projects, have been utilized where relevant. The document presents a total of 43 recommendations divided into a number of general recommendations and more detailed recommendations on alarm generation, structuring, prioritisation, presentation and handling. (Author)

  3. Algorithms for Academic Search and Recommendation Systems

    DEFF Research Database (Denmark)

    Amolochitis, Emmanouil

    2014-01-01

    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......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...... implementation of the term frequency heuristic, a time-depreciated citation score and a graph-theoretic computed score that relates the paper’s index terms with each other. On the second part we describe the design of hybrid recommender ensemble (user, item and content based). The newly introduced algorithms...

  4. The process of setting micronutrient recommendations

    DEFF Research Database (Denmark)

    Timotijevic, Lada; Barnett, Julie; Brown, Kerry

    2011-01-01

    in the field of micronutrient recommendations and a case study that focused on mandatory folic acid (FA) fortification. Setting: Questionnaire-based data were collected across thirty-five European countries. The FA fortification case study was conducted in the UK, Norway, Denmark, Germany, Spain, Czech...... 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 expertise and the terms of reference for the SAC are determined by the government. Where there is no dedicated SAC, the impetus for the development of micronutrient recommendations and the associated policies comes from interested specialists in the area. This is typically linked with an ad hoc selection...

  5. 2016 updated MASCC/ESMO consensus recommendations

    DEFF Research Database (Denmark)

    Einhorn, Lawrence H; Rapoport, Bernardo; Navari, Rudolph M

    2017-01-01

    PURPOSE: This review summarizes the recommendations for the prophylaxis of acute and delayed nausea and vomiting induced by multiple-day chemotherapy, high-dose chemotherapy, and breakthrough nausea and vomiting as agreed at the MASCC/ESMO Antiemetic Guidelines update meeting in Copenhagen in June...... receiving high-dose chemotherapy with stem cell transplant, a combination of a 5-HT3 receptor antagonist with dexamethasone and aprepitant (125 mg orally on day 1 and 80 mg orally on days 2 to 4) is recommended before chemotherapy. For patients undergoing multiple-day chemotherapy-induced nausea...... and vomiting, a 5-HT3 receptor antagonist, dexamethasone, and aprepitant, are recommended before chemotherapy for the prophylaxis of acute emesis and delayed emesis. For patients experiencing breakthrough nausea and vomiting, the available evidence suggests the use of 10 mg oral olanzapine, daily for 3 days...

  6. CODATA recommended values of the fundamental constants

    International Nuclear Information System (INIS)

    Mohr, Peter J.; Taylor, Barry N.

    2000-01-01

    A review is given of the latest Committee on Data for Science and Technology (CODATA) adjustment of the values of the fundamental constants. The new set of constants, referred to as the 1998 values, replaces the values recommended for international use by CODATA in 1986. The values of the constants, and particularly the Rydberg constant, are of relevance to the calculation of precise atomic spectra. The standard uncertainty (estimated standard deviation) of the new recommended value of the Rydberg constant, which is based on precision frequency metrology and a detailed analysis of the theory, is approximately 1/160 times the uncertainty of the 1986 value. The new set of recommended values as well as a searchable bibliographic database that gives citations to the relevant literature is available on the World Wide Web at physics.nist.gov/constants and physics.nist.gov/constantsbib, respectively

  7. A Classification-based Review Recommender

    Science.gov (United States)

    O'Mahony, Michael P.; Smyth, Barry

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

  8. 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

  9. Non-IID Recommender Systems: A Review and Framework of Recommendation Paradigm Shifting

    Directory of Open Access Journals (Sweden)

    Longbing Cao

    2016-06-01

    Full Text Available While recommendation plays an increasingly critical role in our living, study, work, and entertainment, the recommendations we receive are often for irrelevant, duplicate, or uninteresting products and services. A critical reason for such bad recommendations lies in the intrinsic assumption that recommended users and items are independent and identically distributed (IID in existing theories and systems. Another phenomenon is that, while tremendous efforts have been made to model specific aspects of users or items, the overall user and item characteristics and their non-IIDness have been overlooked. In this paper, the non-IID nature and characteristics of recommendation are discussed, followed by the non-IID theoretical framework in order to build a deep and comprehensive understanding of the intrinsic nature of recommendation problems, from the perspective of both couplings and heterogeneity. This non-IID recommendation research triggers the paradigm shift from IID to non-IID recommendation research and can hopefully deliver informed, relevant, personalized, and actionable recommendations. It creates exciting new directions and fundamental solutions to address various complexities including cold-start, sparse data-based, cross-domain, group-based, and shilling attack-related issues.

  10. Distributed Online Learning in Social Recommender Systems

    Science.gov (United States)

    Tekin, Cem; Zhang, Simpson; van der Schaar, Mihaela

    2014-08-01

    In this paper, we consider decentralized sequential decision making in distributed online recommender systems, where items are recommended to users based on their search query as well as their specific background including history of bought items, gender and age, all of which comprise the context information of the user. In contrast to centralized recommender systems, in which there is a single centralized seller who has access to the complete inventory of items as well as the complete record of sales and user information, in decentralized recommender systems each seller/learner only has access to the inventory of items and user information for its own products and not the products and user information of other sellers, but can get commission if it sells an item of another seller. Therefore the sellers must distributedly find out for an incoming user which items to recommend (from the set of own items or items of another seller), in order to maximize the revenue from own sales and commissions. We formulate this problem as a cooperative contextual bandit problem, analytically bound the performance of the sellers compared to the best recommendation strategy given the complete realization of user arrivals and the inventory of items, as well as the context-dependent purchase probabilities of each item, and verify our results via numerical examples on a distributed data set adapted based on Amazon data. We evaluate the dependence of the performance of a seller on the inventory of items the seller has, the number of connections it has with the other sellers, and the commissions which the seller gets by selling items of other sellers to its users.

  11. 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.

  12. Learning to recommend helpful hotel reviews

    OpenAIRE

    O'Mahony, Michael P.; Smyth, Barry

    2009-01-01

    User-generated reviews are a common and valuable source of product information, yet little attention has been paid as to how best to present them to end-users. In this paper, we describe a classification-based recommender system that is designed to recommend the most helpful reviews for a given product. We present a large-scale evaluation of our approach using TripAdvisor hotel reviews, and we show that our approach is capable of suggesting superior reviews compared to a number of alternat...

  13. Indonesian News Harvester and Recommender System

    Directory of Open Access Journals (Sweden)

    Adi Wibowo

    2017-09-01

    Full Text Available To provide convenience for the user that frequently read the news, a system to gather, classify, and provide news from several news websites in one place was needed. This system utilized a recommender system to provide only relevant news to the user. This research proposed a system architecture that used vector space model, and Rocchio relevance feedback to provide specific news recommendation to user’s feedback. The results are that the proposed system architecture can achieve the goal by using five levels of feedback from the user. However, the time needed to gather news is increasing exponentially in line with the number of terms gathered from articles.

  14. 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.

  15. Social Network Supported Process Recommender System

    Directory of Open Access Journals (Sweden)

    Yanming Ye

    2014-01-01

    Full Text Available Process recommendation technologies have gained more and more attention in the field of intelligent business process modeling to assist the process modeling. However, most of the existing technologies only use the process structure analysis and do not take the social features of processes into account, while the process modeling is complex and comprehensive in most situations. This paper studies the feasibility of social network research technologies on process recommendation and builds a social network system of processes based on the features similarities. Then, three process matching degree measurements are presented and the system implementation is discussed subsequently. Finally, experimental evaluations and future works are introduced.

  16. Traumatic brain injury pharmacological treatment: recommendations

    Directory of Open Access Journals (Sweden)

    Renato Anghinah

    Full Text Available ABSTRACT This article presents the recommendations on the pharmacological treatment employed in traumatic brain injury (TBI at the outpatient clinic of the Cognitive Rehabilitation after TBI Service of the Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Brazil. A systematic assessment of the consensus reached in other countries, and of articles on TBI available in the PUBMED and LILACS medical databases, was carried out. We offer recommendations of pharmacological treatments in patients after TBI with different symptoms.

  17. Social network supported process recommender system.

    Science.gov (United States)

    Ye, Yanming; Yin, Jianwei; Xu, Yueshen

    2014-01-01

    Process recommendation technologies have gained more and more attention in the field of intelligent business process modeling to assist the process modeling. However, most of the existing technologies only use the process structure analysis and do not take the social features of processes into account, while the process modeling is complex and comprehensive in most situations. This paper studies the feasibility of social network research technologies on process recommendation and builds a social network system of processes based on the features similarities. Then, three process matching degree measurements are presented and the system implementation is discussed subsequently. Finally, experimental evaluations and future works are introduced.

  18. 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.

  19. Exercise recommendations in patients with newly diagnosed fibromyalgia.

    Science.gov (United States)

    Wilson, Brad; Spencer, Horace; Kortebein, Patrick

    2012-04-01

    To evaluate exercise recommendations in patients newly diagnosed with fibromyalgia. A retrospective chart review. A public university rheumatology clinic. Patients newly diagnosed with fibromyalgia (N = 122). Frequency and type of exercise recommendations. The mean (standard deviation) age of these patients with fibromyalgia was 45 ± 12 years; 91% were women. Exercise was recommended as part of the documented treatment plan in 47% of these patients (57/122); only 3 patients had a documented contraindication for exercise. Aquatic exercise was most frequently recommended (56% [32/57]), followed by combined aquatic-aerobic exercise (26% [15/57]), and, infrequently, aerobic exercise only (5% [3/57]); only 7% of these patients (4/57) were referred for physical therapy. The primary method of communication was verbal discussion (94% [54/57]). Although there is well-documented evidence that exercise is beneficial for patients with fibromyalgia, we found that less than half of patients with newly diagnosed fibromyalgia in our study were provided recommendations to initiate an exercise program as part of their treatment plan. Further investigation of these findings are warranted, including evaluation of other university and community rheumatology practices as well as that of other physicians caring for patients with fibromyalgia. However, our findings indicate that there appears to be an opportunity to provide more specific and practical education regarding the implementation of an exercise regimen for patients with newly diagnosed fibromyalgia. Physiatrists may be particularly well suited to manage the exercise component of patients with fibromyalgia because of their specialized training in exercise prescription. Copyright © 2012 American Academy of Physical Medicine and Rehabilitation. Published by Elsevier Inc. All rights reserved.

  20. Recommended procedures and methodology of coal description

    Science.gov (United States)

    Chao, E.C.; Minkin, J.A.; Thompson, C.L.

    1983-01-01

    This document is the result of a workshop on coal description held for the Branch of Coal Resources of the U.S. Geological Survey in March 1982. It has been prepared to aid and encourage the field-oriented coal scientist to participate directly in petrographic coal-description activities. The objectives and past and current practices of coal description vary widely. These are briefly reviewed and illustrated with examples. Sampling approaches and techniques for collecting columnar samples of fresh coal are also discussed. The recommended procedures and methodology emphasize the fact that obtaining a good megascopic description of a coal bed is much better done in the laboratory with a binocular microscope and under good lighting conditions after the samples have been cut and quickly prepared. For better observation and cross-checking using a petrographic microscope for identification purposes, an in-place polishing procedure (requiring less than 2 min) is routinely used. Methods for using both the petrographic microscope and an automated image analysis system are also included for geologists who have access to such instruments. To describe the material characteristics of a coal bed in terms of microlithotypes or lithotypes, a new nomenclature of (V), (E), (1), (M). (S). (X1). (X2) and so on is used. The microscopic description of the modal composition of a megascopically observed lithologic type is expressed in terms of (VEIM); subscripts are used to denote the volume percentage of each constituent present. To describe a coal-bed profile, semiquantitative data (without microscopic study) and quantitative data (with microscopic study) are presented in ready-to-understand form. The average total composition of any thickness interval or of the entire coal bed can be plotted on a triangular diagram having V, E, and I+ M +S as the apices. The modal composition of any mixed lithologies such as (X1), (X2), and so on can also be plotted on such a triangular ternary diagram

  1. The power of ground user in recommender systems.

    Directory of Open Access Journals (Sweden)

    Yanbo Zhou

    Full Text Available Accuracy and diversity are two important aspects to evaluate the performance of recommender systems. Two diffusion-based methods were proposed respectively inspired by the mass diffusion (MD and heat conduction (HC processes on networks. It has been pointed out that MD has high recommendation accuracy yet low diversity, while HC succeeds in seeking out novel or niche items but with relatively low accuracy. The accuracy-diversity dilemma is a long-term challenge in recommender systems. To solve this problem, we introduced a background temperature by adding a ground user who connects to all the items in the user-item bipartite network. Performing the HC algorithm on the network with ground user (GHC, it showed that the accuracy can be largely improved while keeping the diversity. Furthermore, we proposed a weighted form of the ground user (WGHC by assigning some weights to the newly added links between the ground user and the items. By turning the weight as a free parameter, an optimal value subject to the highest accuracy is obtained. Experimental results on three benchmark data sets showed that the WGHC outperforms the state-of-the-art method MD for both accuracy and diversity.

  2. The power of ground user in recommender systems.

    Science.gov (United States)

    Zhou, Yanbo; Lü, Linyuan; Liu, Weiping; Zhang, Jianlin

    2013-01-01

    Accuracy and diversity are two important aspects to evaluate the performance of recommender systems. Two diffusion-based methods were proposed respectively inspired by the mass diffusion (MD) and heat conduction (HC) processes on networks. It has been pointed out that MD has high recommendation accuracy yet low diversity, while HC succeeds in seeking out novel or niche items but with relatively low accuracy. The accuracy-diversity dilemma is a long-term challenge in recommender systems. To solve this problem, we introduced a background temperature by adding a ground user who connects to all the items in the user-item bipartite network. Performing the HC algorithm on the network with ground user (GHC), it showed that the accuracy can be largely improved while keeping the diversity. Furthermore, we proposed a weighted form of the ground user (WGHC) by assigning some weights to the newly added links between the ground user and the items. By turning the weight as a free parameter, an optimal value subject to the highest accuracy is obtained. Experimental results on three benchmark data sets showed that the WGHC outperforms the state-of-the-art method MD for both accuracy and diversity.

  3. 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.

  4. Mental Health and Mental Disorder Recommendation Programs.

    Science.gov (United States)

    Ruchiwit, Manyat

    2017-12-01

    The characteristic differences among the Greater Mekong Subregion (GMS) countries in terms of trade and investment, society and cultural values, medical information and technology, and the living and working environment have become major health problems in terms of mental disorders. The purpose of this article is to identify the gaps in those aspects, to propose mental health and mental disorder recommendation programs, and to recommend policies for policy makers and research investors. A comparative analysis and literature review of existing policy, including overviews of previous research were used to generate a synthesis of the existing knowledge of the mental health and mental disorder recommendation programs. The review results recommend mental health and mental disorder programs for policy makers, research investors, and stakeholders in order to strengthen the directions for implementing these programs in the future. The healthcare provision in each country will not be limited only to its citizens; the healthcare markets and target groups are likely to expand to the neighboring countries in the context of changes in domestic and international factors, which have both positive and negative impacts according to the political, economic, and social situations of the influencing countries.

  5. Understanding Student Recommendations to Attend NIACC

    Science.gov (United States)

    Morrison, Michael C.

    2008-01-01

    Successful organizations, both public and private, rely heavily on "word-of-mouth recommendations" for their products and services. Financial viability of any organization depends profoundly on formal and informal networks of customers who pass their assessments of an organization's performance to acquaintances, friends and families.…

  6. Farmers\\' Characteristics And Adoption Of Recommended Practices ...

    African Journals Online (AJOL)

    The study focused on farmers under the fadama project scheme in Edo State, Nigeria with emphasis on the relationship between farmers\\' characteristics and adoption of recommended technologies. Analyses of data obtained from a random sample of 80 respondents reveals that fadama farming was dominated by females ...

  7. User Controllability in a Hybrid Recommender System

    Science.gov (United States)

    Parra Santander, Denis Alejandro

    2013-01-01

    Since the introduction of Tapestry in 1990, research on recommender systems has traditionally focused on the development of algorithms whose goal is to increase the accuracy of predicting users' taste based on historical data. In the last decade, this research has diversified, with "human factors" being one area that has received…

  8. Hierarchically Structured Recommender System for Improving NPS

    Science.gov (United States)

    Kuang, Jieyan

    2016-01-01

    Net Promoter System (NPS) is well known as an evaluation measure of the growth engine of big companies in the business area. The ultimate goal of my research is to build an action rules and meta-actions based recommender system for improving NPS scores of 34 companies (clients) dealing with similar businesses in the US and Canada. With the given…

  9. 16 CFR 1.43 - Recommendations.

    Science.gov (United States)

    2010-01-01

    ... 16 Commercial Practices 1 2010-01-01 2010-01-01 false Recommendations. 1.43 Section 1.43 Commercial Practices FEDERAL TRADE COMMISSION ORGANIZATION, PROCEDURES AND RULES OF PRACTICE GENERAL... investigation. If, after investigation, it concludes that the law has been violated, it may make to such...

  10. Dietary macronutrient recommendations for optimal Dietary ...

    African Journals Online (AJOL)

    Both resistance and endurance-trained athletes have a higher dietary protein requirement of between 1.2 and 1.8 g protein/kg body weight (BW)/day, with an upper limit of 2 g protein/kg BW/day. To increase the rate of protein synthesis during the recovery period, immediate ingestion of protein postexercise is recommended ...

  11. Recommending Research Profiles for Multidisciplinary Academic Collaboration

    Science.gov (United States)

    Gunawardena, Sidath Deepal

    2013-01-01

    This research investigates how data on multidisciplinary collaborative experiences can be used to solve a novel problem: recommending research profiles of potential collaborators to academic researchers seeking to engage in multidisciplinary research collaboration. As the current domain theories of multidisciplinary collaboration are insufficient…

  12. Radiation protection: Philosophy, recommendations and practice

    International Nuclear Information System (INIS)

    Woodhead, D.S.

    1997-01-01

    The philosophy developed by the International Commission on Radiological Protection for the control of human radiation exposure will be described. The application of the ICRP recommendations to the authorization and control of the disposal of radioactive wastes to the sea will be discussed in the context of the practice in the United Kingdom. (author)

  13. Recommendations for the Sharing Economy: Safeguarding Privacy

    NARCIS (Netherlands)

    Ranzini, G.; Kusber, Nina; Vermeulen, I.E.; Etter, Michael

    2018-01-01

    his report, ‘Recommendations: Privacy’, forms one element of a European Union Horizon 2020 Research Project on the sharing economy: Ps2Share ‘Participation, Privacy, and Power in the Sharing Economy’. The study is undertaken within the scope of the European Union’s Horizon 2020 research and

  14. On the Recommender System for University Library

    Science.gov (United States)

    Fu, Shunkai; Zhang, Yao; Seinminn

    2013-01-01

    Libraries are important to universities, and they have two primary features: readers as well as collections are highly professional. In this study, based on the experimental study with five millions of users' borrowing records, our discussion covers: (1) the necessity of recommender system for university libraries; (2) collaborative filtering (CF)…

  15. Group recommendation strategies based on collaborative filtering

    OpenAIRE

    Ricardo de Melo Queiroz, Sérgio

    2003-01-01

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

  16. Recommendations based on semantically enriched museum collections

    NARCIS (Netherlands)

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

    2008-01-01

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

  17. Biosignal controlled recommendation in entertainment systems

    NARCIS (Netherlands)

    Liu, H.

    2010-01-01

    With the explosive growth of the entertainment contents and the ubiquitous access of them via fixed or mobile computing devices, recommendation systems become essential tools to help the user to find the right entertainment at the right time and location. I envision that by integrating the bio

  18. Mining Feedback in Ranking and Recommendation Systems

    Science.gov (United States)

    Zhuang, Ziming

    2009-01-01

    The amount of online information has grown exponentially over the past few decades, and users become more and more dependent on ranking and recommendation systems to address their information seeking needs. The advance in information technologies has enabled users to provide feedback on the utilities of the underlying ranking and recommendation…

  19. Video Games: Research, Ratings, Recommendations. ERIC Digest.

    Science.gov (United States)

    Cesarone, Bernard

    This Digest reviews research on the demographics and effects of video game playing, discusses game rating systems, and offers recommendations for parents. The Digest begins by discussing research on the time children spend playing electronic games, which shows that younger children's game playing at home (90% of fourth-graders played at least one…

  20. IMIA Educational Recommendations and Nursing Informatics

    NARCIS (Netherlands)

    Mantas, John; Hasman, Arie

    2017-01-01

    The updated version of the IMIA educational recommendations has given an adequate guidelines platform for developing educational programs in Biomedical and Health Informatics at all levels of education, vocational training, and distance learning. This chapter will provide a brief introduction of the