WorldWideScience

Sample records for tool visit modeling

  1. VisIt: Interactive Parallel Visualization and Graphical Analysis Tool

    Science.gov (United States)

    Department Of Energy (DOE) Advanced Simulation; Computing Initiative (ASCI)

    2011-03-01

    VisIt is a free interactive parallel visualization and graphical analysis tool for viewing scientific data on Unix and PC platforms. Users can quickly generate visualizations from their data, animate them through time, manipulate them, and save the resulting images for presentations. VisIt contains a rich set of visualization features so that you can view your data in a variety of ways. It can be used to visualize scalar and vector fields defined on two- and three-dimensional (2D and 3D) structured and unstructured meshes. VisIt was designed to handle very large data set sizes in the terascale range and yet can also handle small data sets in the kilobyte range. See the table below for more details about the tool’s features. VisIt was developed by the Department of Energy (DOE) Advanced Simulation and Computing Initiative (ASCI) to visualize and analyze the results of terascale simulations. It was developed as a framework for adding custom capabilities and rapidly deploying new visualization technologies. Although the primary driving force behind the development of VisIt was for visualizing terascale data, it is also well suited for visualizing data from typical simulations on desktop systems.

  2. Office-Based Tools and Primary Care Visit Communication, Length, and Preventive Service Delivery.

    Science.gov (United States)

    Lafata, Jennifer Elston; Shay, L Aubree; Brown, Richard; Street, Richard L

    2016-04-01

    The use of physician office-based tools such as electronic health records (EHRs), health risk appraisal (HRA) instruments, and written patient reminder lists is encouraged to support efficient, high-quality, patient-centered care. We evaluate the association of exam room use of EHRs, HRA instruments, and self-generated written patient reminder lists with patient-physician communication behaviors, recommended preventive health service delivery, and visit length. Observational study of 485 office visits with 64 primary care physicians practicing in a health system serving the Detroit metropolitan area. Study data were obtained from patient surveys, direct observation, office visit audio-recordings, and automated health system records. Outcome measures included visit length in minutes, patient use of active communication behaviors, physician use of supportive talk and partnership-building communication behaviors, and percentage of delivered guideline-recommended preventive health services for which patients are eligible and due. Simultaneous linear regression models were used to evaluate associations between tool use and outcomes. Adjusted models controlled for patient characteristics, physician characteristics, characteristics of the relationship between the patient and physician, and characteristics of the environment in which the visit took place. Prior to adjusting for other factors, visits in which the EHR was used on average were significantly (p communication behaviors facilitating patient involvement (2.1 vs. 2.6 occurrences), but more use of active patient communication behaviors (4.4 vs. 2.6). Likewise, HRA use was significantly associated with increased preventive services delivery (62.1 percent vs. 57.0 percent). All relationships remained significant (p > .05) in adjusted models with the exception of that between HRA use and preventive service delivery. Office-based tools intended to facilitate the implementation of desired primary care practice

  3. VisIt: An End-User Tool for Visualizing and Analyzing Very Large Data

    Energy Technology Data Exchange (ETDEWEB)

    Childs, Hank; Brugger, Eric; Whitlock, Brad; Meredith, Jeremy; Ahern, Sean; Pugmire, David; Biagas, Kathleen; Miller, Mark; Weber, Gunther H.; Krishnan, Hari; Fogal, Thomas; Sanderson, Allen; Garth, Christoph; Bethel, E. Wes; Camp, David; Ruebel, Oliver; Durant, Marc; Favre, Jean; Navratil, Paul

    2012-11-01

    VisIt is a popular open source tool for visualizing and analyzing big data. It owes its success to its foci of increasing data understanding, large data support, and providing a robust and usable product, as well as its underlying design that fits today's supercomputing landscape. This report, which draws heavily from an earlier publication at the SciDAC Conference in 2011 describes the VisIt project and its accomplishments.

  4. Green Infrastructure Modeling Tools

    Science.gov (United States)

    Modeling tools support planning and design decisions on a range of scales from setting a green infrastructure target for an entire watershed to designing a green infrastructure practice for a particular site.

  5. Population Density Modeling Tool

    Science.gov (United States)

    2012-06-26

    194 POPULATION DENSITY MODELING TOOL by Davy Andrew Michael Knott David Burke 26 June 2012 Distribution...MARYLAND NAWCADPAX/TR-2012/194 26 June 2012 POPULATION DENSITY MODELING TOOL by Davy Andrew Michael Knott David Burke...information if it does not display a currently valid OMB control number. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS. 1. REPORT DATE 26

  6. DESTINATION LOYALTY MODEL OF ELDERLY FOREIGN TOURISTS VISITING BALI

    OpenAIRE

    I Gusti Bagus Rai Utama; Nyoman Darma Putra; I Made Suradnya

    2014-01-01

    Research was designed to understand loyalty model of elderly foreign tourists visiitng Bali which was undertaken in the main destinations in Bali i.e., Kuta, Nusa Dua, Sanur, Ubud and Lovina. 400 respondents were determined purposively. The criteria were senior tourists aged 55 or over and tourists vacationing in one of Bali’s tourism destinations. Descriptive statistical analysis and the SEM-AMOS structural model analysis tools were undertaken to analyze statistically. The resuts sho...

  7. Community health workers' experiences of using video teaching tools during home visits-A pilot study.

    Science.gov (United States)

    Coetzee, Bronwyné; Kohrman, Hannah; Tomlinson, Mark; Mbewu, Nokwanele; Le Roux, Ingrid; Adam, Maya

    2018-03-01

    Innovations in health, such as the use of tablet computers, show promise in broadening the scope of work of community health workers (CHWs), and play an important role in keeping CHWs and their clients up to date with advancements in health. While the use of mobile phones and tablets is innovative, the applicability of these technologies in different contexts remains poorly understood. Furthermore, little is known about the acceptability and feasibility of the use of video teaching tools on such devices across diverse contexts. In this study, we aimed to explore the acceptability and feasibility of using tablets with teaching videos (about HIV, alcohol, nutrition and breastfeeding) to support the health promotion efforts of 24 CHWs who work with pregnant mothers and mothers of young children in an urban township in South Africa. Between November 2015 and May 2016, we conducted focus groups and identified four key themes (with several sub-themes) that demonstrated factors related to the acceptability and feasibility of these devices and their content. Focus group transcripts were analysed thematically using qualitative data analysis software. The findings indicated that while the devices contained several supportive features (such as lightening the workload, and stimulating interest in their work), they also contained several restrictive features (safety and confidentiality). CHWs considered the video content an important tool to engage not only their clients but also family members and the community at large. Issues surrounding safety, privacy and confidentiality of using these devices require careful consideration prior to implementation in large-scale studies. Furthermore, stigma associated with household visits by CHWs and the nature of their work also need to be addressed by researchers and programme implementers. Overall, CHWs deemed the devices and the video content an acceptable and feasible means with which to provide health promotion and education among

  8. Weaving Emotional Intelligence into a Home Visiting Model

    Science.gov (United States)

    Enson, Beth; Imberger, Jaci

    2017-01-01

    This article details the impact of Emotional Intelligence (EI) training on the 10-year evolution of the Taos First Steps Home Visiting program. While EI has become standard fare in corporate training and practice, it is less well known in the world of early childhood services. This article highlights interviews with key personnel, both in-house…

  9. DESTINATION LOYALTY MODEL OF ELDERLY FOREIGN TOURISTS VISITING BALI

    Directory of Open Access Journals (Sweden)

    I Gusti Bagus Rai Utama

    2014-03-01

    Full Text Available Research was designed to understand loyalty model of elderly foreign tourists visiitng Bali which was undertaken in the main destinations in Bali i.e., Kuta, Nusa Dua, Sanur, Ubud and Lovina. 400 respondents were determined purposively. The criteria were senior tourists aged 55 or over and tourists vacationing in one of Bali’s tourism destinations. Descriptive statistical analysis and the SEM-AMOS structural model analysis tools were undertaken to analyze statistically. The resuts show that (1 Internal motivation does not have a significant effect on destination image. (2 External motivation has a significant effect on destination image and loyalty, but does not have a significant effect on tourist’s satisfaction. (3 Destination image has a significant effect on tourist’s satisfaction. (4 Tourist’s satisfaction has a significant effect on destination loyalty. Two loyalty models were formed: (1 Destination loyalty is directly influenced by tourist’s satisfaction, and indirectly influenced by destination image and external motivation. (2 Destination loyalty is directly influenced by external motivation, but the influence is not as significant as the influence of tourist’s satisfaction on loyalty. Suggestions of the research are maintaining the joint approach to answer various questions through quantitative approach. Improvement strong image of Bali is crucial, such as: (1 improving uniqueness of culture, (2 welcoming local inhabitants, (3 improving tourism infrastructure, and (4 comfortable tourism atmosphere.

  10. Identification of the need for home visiting nurse: development of a new assessment tool

    Directory of Open Access Journals (Sweden)

    Atsuko Taguchi

    2014-03-01

    Full Text Available Objective: To develop a Home Visiting Nursing Service Need Assessment Form (HVNS-NAF to standardize the decision about the need for home visiting nursing service. Methods: The sample consisted of older adults who had received coordinated services by care managers. We defined the need for home visiting nursing service by elderly individuals as the decision of the need by a care manager so that the elderly can continue to live independently. Explanatory variables included demographic factors, medical procedure, severity of illness, and caregiver variables. Multiple logistic regression was carried out after univariate analyses to decide the variables to include and the weight of each variable in the HVNS-NAF. We then calculated the sensitivity and specificity of each cut-off value, and defined the score with the highest sensitivityand specificity as the cut-off value. Results: Nineteen items were included in the final HVNS-NAF. When the cut-off value was 2 points, the sensitivity was 77.0%, specificity 68.5%, and positive predictive value 56.8%. Conclusions: HVNS-NAF is the first validated standard based on characteristics of elderly clients who required home visiting nursing service. Using the HVNS-NAF may result in reducing the unmet need for home visiting nursing service and preventing hospitalization.

  11. Combining a Virtual Learning Tool and Onsite Study Visits of Four Conservation Sites in Europe

    Directory of Open Access Journals (Sweden)

    A. Chenaux

    2011-12-01

    Full Text Available The design and evaluation of virtual learning environments for construction and surveying students is presented in this paper; by combining virtual learning environment and on-site student surveys to model and replicate practice in the architectural heritage sector. The Virtual Learning Environment is enhanced with real live survey projects whereby students collect the data to build virtual historic buildings from onsite surveys using advanced survey equipment. The survey data is modelled in HBIM; Historic Building Information Modelling (HBIM is currently being developed as a virtual learning tool for construction and surveying students in the Dublin Institute of Technology.  HBIM, is a novel solution whereby interactive parametric objects representing architectural elements are constructed from historic data, these elements, including detail behind the scan surface are accurately mapped onto a laser or image based survey. The architectural elements are scripted using a Geometric Descriptive Language GDL. In the case of this project a Virtual Learning Environment is being developed which combines advanced recording and surveying with Building Information Modelling (BIM to simulate and analyse existing buildings.

  12. Tools for Model Evaluation

    DEFF Research Database (Denmark)

    Olesen, H. R.

    1998-01-01

    Proceedings of the Twenty-Second NATO/CCMS International Technical Meeting on Air Pollution Modeling and Its Application, held June 6-10, 1997, in Clermont-Ferrand, France.......Proceedings of the Twenty-Second NATO/CCMS International Technical Meeting on Air Pollution Modeling and Its Application, held June 6-10, 1997, in Clermont-Ferrand, France....

  13. The stimulated recall method as a research tool on the school visit in the Cerrado Biodiversity Museum

    Directory of Open Access Journals (Sweden)

    Lidiane Martins de Oliveira

    2015-12-01

    Full Text Available Along with modernization and scientific and technological development presents new requirements of education and knowledge to integrate the world of work, of science communication, and citizenship. Museums represent this integrative space, relating to the communication dimension to the educational project, and the audience becomes the focus of the study, with special focus on relationships that these spaces provide. So this paper presents a theoretical and methodological study to highlight aspects that were significant to the visitors during the visit to the Cerrado Biodiversity Museum (MBC located in Uberlândia- MG- Brazil. The study followed the procedures and tools Souvenir methodology stimulated Falcão and Gilbert (2005. We conclude that the knowledge in the museum take place through free interaction student-exposure and studentstudent; that the relationship between science and the visit to the MBC occurs through the relationship that the teacher can establish in their classes and the Remembrance Method Stimulated corresponded as a methodological tool to rescue concepts and recall important moments of the visit to MBC

  14. How we used a patient visit tracker tool to advance experiential learning in systems-based practice and quality improvement in a medical student clinic.

    Science.gov (United States)

    Chen, Chen Amy; Park, Ryan J; Hegde, John V; Jun, Tomi; Christman, Mitalee P; Yoo, Sun M; Yamasaki, Alisa; Berhanu, Aaron; Vohra-Khullar, Pamela; Remus, Kristin; Schwartzstein, Richard M; Weinstein, Amy R

    2016-01-01

    Poorly designed healthcare systems increase costs and preventable medical errors. To address these issues, systems-based practice (SBP) education provides future physicians with the tools to identify systemic errors and implement quality improvement (QI) initiatives to enhance the delivery of cost-effective, safe and multi-disciplinary care. Although SBP education is being implemented in residency programs and is mandated by the Accreditation Council for Graduate Medical Education (ACGME) as one of its core competencies, it has largely not been integrated into undergraduate medical education. We propose that Medical Student-Faculty Collaborative Clinics (MSFCCs) may be the ideal environment in which to train medical students in SBPs and QI initiatives, as they allow students to play pivotal roles in project development, administration, and management. Here we describe a process of experiential learning that was developed within a newly established MSFCC, which challenged students to identify inefficiencies, implement interventions, and track the results. After identifying bottlenecks in clinic operations, our students designed a patient visit tracker tool to monitor clinic flow and implemented solutions to decrease patient visit times. Our model allowed students to drive their own active learning in a practical clinical setting, providing early and unique training in crucial QI skills.

  15. Integrating a Decision Management Tool with UML Modeling Tools

    DEFF Research Database (Denmark)

    Könemann, Patrick

    the development process. In this report, we propose an integration of a decision management and a UML-based modeling tool, based on use cases we distill from a case study: the modeling tool shall show all decisions related to a model and allow its users to extend or update them; the decision management tool shall......Numerous design decisions are made while developing software systems, which influence the architecture of these systems as well as following decisions. A number of decision management tools already exist for capturing, documenting, and maintaining design decisions, but also for guiding developers...... trigger the modeling tool to realize design decisions in the models. We define tool-independent concepts and architecture building blocks supporting these use cases and present how they can be implemented in the IBM Rational Software Modeler and Architectural Decision Knowledge Wiki. This seamless...

  16. The research and practice based on the full-time visitation model in clinical medical education

    Directory of Open Access Journals (Sweden)

    Hong Zhang

    2015-01-01

    Full Text Available Most of the higher medical colleges and universities teaching hospital carry certain clinical teaching tasks, but the traditional teaching pattern of "two stage", including the early stage of the theory of teaching, the late arrangement of clinical practice, had some drawbacks such as practice time is too concentrated and the chasm between students' theory and practice. It is suggested that students contact clinical diagnosis and treatment earlier, visit more patients and increase the ratio of visitation and course. But as more and more students flood into university, clinical visitation has turned into a difficulty to improve students’ ability. To resolve this problem, we have made some efficient practice and exploration in Rizhao City People's Hospital from September 2005 to July 2014. The students were divided into full-time visitation model group and “two stage” pattern group randomly. The single factors are of great difference between the two groups. The full-time visitation model in clinical medical education builds a new mode of practice of clinical practice teaching in the medical stuents' concept of doctor-patient communication, humanistic care to patients, basic theoretical knowledge, clinical practice skills and graduate admission rate increased significantly. Continuous improvement of OSCE exam is needed to make evaluation more scientific, objective and fair.

  17. The internal structure of destination visitation model and implications for image management

    Directory of Open Access Journals (Sweden)

    Babu P George

    2013-07-01

    Full Text Available In the present research, Stanley Plog’s (1967 Psychocentrism – Allocentrism Visitation Model is reimagined. The researcher decomposes Plog’s original model and identifies five smaller bell shaped curves constituting five tourist personas within the normal distribution of tourist flow that depicts Plog’s model. The study also finds that, while allocentric tourists largely prefer nascent destinations, destinations that are close to the end of their life cycles become attractive to them once again.

  18. Bayesian modeling of consumer behavior in the presence of anonymous visits

    Science.gov (United States)

    Novak, Julie Esther

    Tailoring content to consumers has become a hallmark of marketing and digital media, particularly as it has become easier to identify customers across usage or purchase occasions. However, across a wide variety of contexts, companies find that customers do not consistently identify themselves, leaving a substantial fraction of anonymous visits. We develop a Bayesian hierarchical model that allows us to probabilistically assign anonymous sessions to users. These probabilistic assignments take into account a customer's demographic information, frequency of visitation, activities taken when visiting, and times of arrival. We present two studies, one with synthetic and one with real data, where we demonstrate improved performance over two popular practices (nearest-neighbor matching and deleting the anonymous visits) due to increased efficiency and reduced bias driven by the non-ignorability of which types of events are more likely to be anonymous. Using our proposed model, we avoid potential bias in understanding the effect of a firm's marketing on its customers, improve inference about the total number of customers in the dataset, and provide more precise targeted marketing to both previously observed and unobserved customers.

  19. Cause Analysis Of Outpatient Visits Decreasing Based On Service Quality Gaps Model

    OpenAIRE

    Wulandari, Ratna Dwi; Halim, Christine Natalia

    2013-01-01

    In healthcare services, gap between quality service by provider and the expectation of consumer arefrequently found. This research was aimed to analyze why the number of outpatient visit in Usada HospitalSidoarjo gradually decreased. This research identified 7 kind of gap using service quality gaps model. This wascross-sectional study with descriptive approach. Interview using questionnaire had done to 100 outpatient, 13management official, and 18 Usada hospital€™s employees. The expected ser...

  20. Effectiveness and Safety of an Extended ICU Visitation Model for Delirium Prevention: A Before and After Study.

    Science.gov (United States)

    Rosa, Regis Goulart; Tonietto, Tulio Frederico; da Silva, Daiana Barbosa; Gutierres, Franciele Aparecida; Ascoli, Aline Maria; Madeira, Laura Cordeiro; Rutzen, William; Falavigna, Maicon; Robinson, Caroline Cabral; Salluh, Jorge Ibrain; Cavalcanti, Alexandre Biasi; Azevedo, Luciano Cesar; Cremonese, Rafael Viegas; Haack, Tarissa Ribeiro; Eugênio, Cláudia Severgnini; Dornelles, Aline; Bessel, Marina; Teles, José Mario Meira; Skrobik, Yoanna; Teixeira, Cassiano

    2017-10-01

    To evaluate the effect of an extended visitation model compared with a restricted visitation model on the occurrence of delirium among ICU patients. Prospective single-center before and after study. Thirty-one-bed medical-surgical ICU. All patients greater than or equal to 18 years old with expected length of stay greater than or equal to 24 hours consecutively admitted to the ICU from May 2015 to November 2015. Change of visitation policy from a restricted visitation model (4.5 hr/d) to an extended visitation model (12 hr/d). Two hundred eighty-six patients were enrolled (141 restricted visitation model, 145 extended visitation model). The primary outcome was the cumulative incidence of delirium, assessed bid using the confusion assessment method for the ICU. Predefined secondary outcomes included duration of delirium/coma; any ICU-acquired infection; ICU-acquired bloodstream infection, pneumonia, and urinary tract infection; all-cause ICU mortality; and length of ICU stay. The median duration of visits increased from 133 minutes (interquartile range, 97.7-162.0) in restricted visitation model to 245 minutes (interquartile range, 175.0-272.0) in extended visitation model (p interquartile range, 1.0-3.0] vs 3.0 d [interquartile range, 2.5-5.0]; p = 0.03) and ICU stay (3.0 d [interquartile range, 2.0-4.0] vs 4.0 d [interquartile range, 2.0-6.0]; p = 0.04). The rate of ICU-acquired infections and all-cause ICU mortality did not differ significantly between the two study groups. In this medical-surgical ICU, an extended visitation model was associated with reduced occurrence of delirium and shorter length of delirium/coma and ICU stay.

  1. Alien wavelength modeling tool and field trial

    DEFF Research Database (Denmark)

    Sambo, N.; Sgambelluri, A.; Secondini, M.

    2015-01-01

    A modeling tool is presented for pre-FEC BER estimation of PM-QPSK alien wavelength signals. A field trial is demonstrated and used as validation of the tool's correctness. A very close correspondence between the performance of the field trial and the one predicted by the modeling tool has been...

  2. Dental visiting behaviours among primary schoolchildren: Application of the health belief model.

    Science.gov (United States)

    Lee, C-Y; Ting, C-C; Wu, J-H; Lee, K-T; Chen, H-S; Chang, Y-Y

    2017-10-06

    This study aimed to develop and validate a new instrument based on the health belief model and to use the instrument to investigate the determinants of regular dental attendance among primary schoolchildren. A cross-sectional study was conducted using a newly developed measurement scale based on the HBM, 4 health-promoting schools participated in the study and 958 students studying in grades 4-6 completed the questionnaire. The psychometric properties of the instrument were analysed, and a path analysis model was used to identify the determinants of regular dental attendance. The instrument had good internal consistency (Cronbach's α = 0.826-0.925) and a factor structure identical to HBM. Overall, the schoolchildren's health beliefs on caries treatment were positive. The determinants of regular dental visit were school location (β = -0.13), mother's education level (β = 0.15), susceptibility (β = -0.18) and barriers (β = -0.11). This study provided evidence that HBM is applicable to children's dental visiting behaviour and their health beliefs towards adherence to caries treatment. Although children had a positive attitude towards dental visits, environmental obstacles would interfere with dental visits. The newly developed instrument could be used to identify high-risk children and help design oral health interventions for these children. Moreover, policy makers should increase the accessibility of dental resources to enhance the utilization of dental care among schoolchildren. © 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

  3. Exploring Multilevel Factors for Family Engagement in Home Visiting Across Two National Models.

    Science.gov (United States)

    Latimore, Amanda D; Burrell, Lori; Crowne, Sarah; Ojo, Kristen; Cluxton-Keller, Fallon; Gustin, Sunday; Kruse, Lakota; Hellman, Daniela; Scott, Lenore; Riordan, Annette; Duggan, Anne

    2017-07-01

    The associations of family, home visitor and site characteristics with family engagement within the first 6 months were examined. The variation in family engagement was also explored. Home visiting program participants were drawn from 21 Healthy Families America sites (1707 families) and 9 Nurse-Family Partnership sites (650 families) in New Jersey. Three-level nested generalized linear mixed models assessed the associations of family, home visitor and site characteristics with family receipt of a high dose of services in the first 6 months of enrollment. A family was considered to have received a high dose of service in the first 6 months of enrollment if they were active at 6 months and had received at least 50% of their expected visits in the first 6 months. In general, both home visiting programs engaged, at a relatively high level (Healthy Families America (HFA) 59%, Nurse-Family Partnership (NFP) 64%), with families demonstrating high-risk characteristics such as lower maternal education, maternal smoking, and maternal mental health need. Home visitor characteristics explained more of the variation (87%) in the receipt of services for HFA, while family characteristics explained more of the variation (75%) in the receipt of services for NFP. At the family level, NFP may improve the consistency with which they engage families by increasing retention efforts among mothers with lower education and smoking mothers. HFA sites seeking to improve engagement consistency should consider increasing the flexible in home visitor job responsibilities and examining the current expected-visit policies followed by home visitors on difficult-to-engage families.

  4. Assessing Actual Visit Behavior through Antecedents of Tourists Satisfaction among International Tourists in Jordan: A Structural Equation Modeling (SEM Approach

    Directory of Open Access Journals (Sweden)

    Ayed Moh’d Al Muala

    2011-06-01

    Full Text Available Jordan tourism industry is facing fluctuating tourist visit provoked by dissatisfaction, high visit risk, low hotel service, or negative Jordan image. This study aims to examine the relationships between the antecedents of tourist satisfaction and actual visit behavior in tourism of Jordan, and the mediating effect of tourist satisfaction (SAT in the relationship between Jordan image (JOM, service climate (SER and actual visit behavior (ACT. A total of 850 international tourists completed a survey that were conducted at southern sites in Jordan. Using structural equation modeling (SEM technique, confirmatory Factor Analysis (CFA was performed to examine the reliability and validity of the measurement, and the structural equation modeling techniques (Amos 6.0 were used to evaluate the casual model. Results of the study demonstrate the strong predictive power and explain of international tourists’ behavior in Jordan. The findings highlighted that the relationship between Jordan image and service climate are significant and positive on actual visit behavior.

  5. Requirements for clinical information modelling tools.

    Science.gov (United States)

    Moreno-Conde, Alberto; Jódar-Sánchez, Francisco; Kalra, Dipak

    2015-07-01

    This study proposes consensus requirements for clinical information modelling tools that can support modelling tasks in medium/large scale institutions. Rather than identify which functionalities are currently available in existing tools, the study has focused on functionalities that should be covered in order to provide guidance about how to evolve the existing tools. After identifying a set of 56 requirements for clinical information modelling tools based on a literature review and interviews with experts, a classical Delphi study methodology was applied to conduct a two round survey in order to classify them as essential or recommended. Essential requirements are those that must be met by any tool that claims to be suitable for clinical information modelling, and if we one day have a certified tools list, any tool that does not meet essential criteria would be excluded. Recommended requirements are those more advanced requirements that may be met by tools offering a superior product or only needed in certain modelling situations. According to the answers provided by 57 experts from 14 different countries, we found a high level of agreement to enable the study to identify 20 essential and 21 recommended requirements for these tools. It is expected that this list of identified requirements will guide developers on the inclusion of new basic and advanced functionalities that have strong support by end users. This list could also guide regulators in order to identify requirements that could be demanded of tools adopted within their institutions. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

  6. On the same page: a novel interprofessional model of patient-centered perinatal consultation visits.

    Science.gov (United States)

    Phillippi, J C; Holley, S L; Schorn, M N; Lauderdale, J; Roumie, C L; Bennett, K

    2016-11-01

    To plan and implement an interprofessional collaborative care clinic for women in midwifery care needing a consultation with a maternal-fetal medicine specialist. A community-engaged design was used to develop a new model of collaborative perinatal consultation, which was tested with 50 women. Participant perinatal outcomes and semistructured interviews with 15 women (analyzed using qualitative descriptive analysis) and clinic providers were used to evaluate the model. Participant perinatal outcomes following a simultaneous consultation visit involving a nurse-midwife and maternal-fetal medicine specialist were similar to practice and hospital averages. Women's comments on their experience were positive and had the theme 'on the same page' with six subcategories: clarity, communication, collaboration, planning, validation and 'above and beyond'. Providers also were pleased with the model. A simultaneous consultation involving the woman, a nurse-midwife and a maternal-fetal medicine specialist improved communication and satisfaction among women and providers.

  7. Comparison of two different modelling tools

    DEFF Research Database (Denmark)

    Brix, Wiebke; Elmegaard, Brian

    2009-01-01

    In this paper a test case is solved using two different modelling tools, Engineering Equation Solver (EES) and WinDali, in order to compare the tools. The system of equations solved, is a static model of an evaporator used for refrigeration. The evaporator consists of two parallel channels, and i...

  8. E-xperience Erasmus: Online Journaling as a Tool to Enhance Students' Learning Experience of Their Study Visit Abroad

    Science.gov (United States)

    Gabaudan, Odette

    2013-01-01

    Students on the BA International Business and Languages who spend a full academic year on a study visit abroad experience many new challenges such as a different culture, a new university, different academic practices, a foreign language, etc. The assessment methods for the year include the results of the modules taken in the partner universities,…

  9. Software Engineering Tools for Scientific Models

    Science.gov (United States)

    Abrams, Marc; Saboo, Pallabi; Sonsini, Mike

    2013-01-01

    Software tools were constructed to address issues the NASA Fortran development community faces, and they were tested on real models currently in use at NASA. These proof-of-concept tools address the High-End Computing Program and the Modeling, Analysis, and Prediction Program. Two examples are the NASA Goddard Earth Observing System Model, Version 5 (GEOS-5) atmospheric model in Cell Fortran on the Cell Broadband Engine, and the Goddard Institute for Space Studies (GISS) coupled atmosphere- ocean model called ModelE, written in fixed format Fortran.

  10. ANSYS tools in modeling tires

    Science.gov (United States)

    Ali, Ashraf; Lovell, Michael

    1995-01-01

    This presentation summarizes the capabilities in the ANSYS program that relate to the computational modeling of tires. The power and the difficulties associated with modeling nearly incompressible rubber-like materials using hyperelastic constitutive relationships are highlighted from a developer's point of view. The topics covered include a hyperelastic material constitutive model for rubber-like materials, a general overview of contact-friction capabilities, and the acoustic fluid-structure interaction problem for noise prediction. Brief theoretical development and example problems are presented for each topic.

  11. Visit safety

    CERN Multimedia

    2012-01-01

    Experiment areas, offices, workshops: it is possible to have co-workers or friends visit these places.     You already know about the official visits service, the VIP office, and professional visits. But do you know about the safety instruction GSI-OHS1, “Visits on the CERN site”? This is a mandatory General Safety Instruction that was created to assist you in ensuring safety for all your visits, whatever their nature—especially those that are non-official. Questions? The HSE Unit will be happy to answer them. Write to safety-general@cern.ch.   The HSE Unit

  12. 3D modeling of the Strasbourg’s Cathedral basements for interdisciplinary research and virtual visits

    Directory of Open Access Journals (Sweden)

    T. Landes

    2015-08-01

    Full Text Available On the occasion of the millennium celebration of Strasbourg Cathedral, a transdisciplinary research group composed of archaeologists, surveyors, architects, art historians and a stonemason revised the 1966-1972 excavations under the St. Lawrence’s Chapel of the Cathedral having remains of Roman and medieval masonry. The 3D modeling of the Chapel has been realized based on the combination of conventional surveying techniques for the network creation, laser scanning for the model creation and photogrammetric techniques for the texturing of a few parts. According to the requirements and the end-user of the model, the level of detail and level of accuracy have been adapted and assessed for every floor. The basement has been acquired and modeled with more details and a higher accuracy than the other parts. Thanks to this modeling work, archaeologists can confront their assumptions to those of other disciplines by simulating constructions of other worship edifices on the massive stones composing the basement. The virtual reconstructions provided evidence in support of these assumptions and served for communication via virtual visits.

  13. 3D modeling of the Strasbourg's Cathedral basements for interdisciplinary research and virtual visits

    Science.gov (United States)

    Landes, T.; Kuhnle, G.; Bruna, R.

    2015-08-01

    On the occasion of the millennium celebration of Strasbourg Cathedral, a transdisciplinary research group composed of archaeologists, surveyors, architects, art historians and a stonemason revised the 1966-1972 excavations under the St. Lawrence's Chapel of the Cathedral having remains of Roman and medieval masonry. The 3D modeling of the Chapel has been realized based on the combination of conventional surveying techniques for the network creation, laser scanning for the model creation and photogrammetric techniques for the texturing of a few parts. According to the requirements and the end-user of the model, the level of detail and level of accuracy have been adapted and assessed for every floor. The basement has been acquired and modeled with more details and a higher accuracy than the other parts. Thanks to this modeling work, archaeologists can confront their assumptions to those of other disciplines by simulating constructions of other worship edifices on the massive stones composing the basement. The virtual reconstructions provided evidence in support of these assumptions and served for communication via virtual visits.

  14. Application of time series analysis in modelling and forecasting emergency department visits in a medical centre in Southern Taiwan

    OpenAIRE

    Juang, Wang-Chuan; Huang, Sin-Jhih; Huang, Fong-Dee; Cheng, Pei-Wen; Wann, Shue-Ren

    2017-01-01

    Objective Emergency department (ED) overcrowding is acknowledged as an increasingly important issue worldwide. Hospital managers are increasingly paying attention to ED crowding in order to provide higher quality medical services to patients. One of the crucial elements for a good management strategy is demand forecasting. Our study sought to construct an adequate model and to forecast monthly ED visits. Methods We retrospectively gathered monthly ED visits from January 2009 to December 2016 ...

  15. Forecasting emergency department visits using internet data.

    Science.gov (United States)

    Ekström, Andreas; Kurland, Lisa; Farrokhnia, Nasim; Castrén, Maaret; Nordberg, Martin

    2015-04-01

    Using Internet data to forecast emergency department (ED) visits might enable a model that reflects behavioral trends and thereby be a valid tool for health care providers with which to allocate resources and prevent crowding. The aim of this study is to investigate whether Web site visits to a regional medical Web site, the Stockholm Health Care Guide, a proxy for the general public's concern of their health, could be used to predict the ED attendance for the coming day. In a retrospective, observational, cross-sectional study, a model for forecasting the daily number of ED visits was derived and validated. The model was derived through regression analysis, using visits to the Stockholm Health Care Guide Web site between 6 pm and midnight and day of the week as independent variables. Web site visits were measured with Google Analytics. The number of visits to the ED within the region was retrieved from the Stockholm County Council administrative database. All types of ED visits (including adult, pediatric, and gynecologic) were included. The period of August 13, 2011, to August 12, 2012, was used as a training set for the model. The hourly variation of visits was analyzed for both Web site and the ED visits to determine the interval of hours to be used for the prediction. The model was validated with mean absolute percentage error for August 13, 2012, to October 31, 2012. The correlation between the number of Web site visits between 6 pm and midnight and ED visits the coming day was significant (r=0.77; PInternet data to predict ED visits is promising. Copyright © 2014 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved.

  16. Application of time series analysis in modelling and forecasting emergency department visits in a medical centre in Southern Taiwan.

    Science.gov (United States)

    Juang, Wang-Chuan; Huang, Sin-Jhih; Huang, Fong-Dee; Cheng, Pei-Wen; Wann, Shue-Ren

    2017-12-01

    Emergency department (ED) overcrowding is acknowledged as an increasingly important issue worldwide. Hospital managers are increasingly paying attention to ED crowding in order to provide higher quality medical services to patients. One of the crucial elements for a good management strategy is demand forecasting. Our study sought to construct an adequate model and to forecast monthly ED visits. We retrospectively gathered monthly ED visits from January 2009 to December 2016 to carry out a time series autoregressive integrated moving average (ARIMA) analysis. Initial development of the model was based on past ED visits from 2009 to 2016. A best-fit model was further employed to forecast the monthly data of ED visits for the next year (2016). Finally, we evaluated the predicted accuracy of the identified model with the mean absolute percentage error (MAPE). The software packages SAS/ETS V.9.4 and Office Excel 2016 were used for all statistical analyses. A series of statistical tests showed that six models, including ARIMA (0, 0, 1), ARIMA (1, 0, 0), ARIMA (1, 0, 1), ARIMA (2, 0, 1), ARIMA (3, 0, 1) and ARIMA (5, 0, 1), were candidate models. The model that gave the minimum Akaike information criterion and Schwartz Bayesian criterion and followed the assumptions of residual independence was selected as the adequate model. Finally, a suitable ARIMA (0, 0, 1) structure, yielding a MAPE of 8.91%, was identified and obtained as Visit t =7111.161+(a t +0.37462 a t -1). The ARIMA (0, 0, 1) model can be considered adequate for predicting future ED visits, and its forecast results can be used to aid decision-making processes. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

  17. Visit ISOLDE!

    CERN Multimedia

    CERN Bulletin

    2013-01-01

    CERN Internal Communication is organising a visit to ISOLDE – an opportunity for you to see the CERN set-up that can produce over 1000 different isotopes!   If you wish to participate, you can sign up for a visit by sending us an e-mail. Note that the visits will take place between 18 and 22 February, and will be open only to CERN access-card holders.   The visit will include an introduction by experts and a tour of the ISOLDE set-up. NB: For security reason, pregnant women and kids under the age of 16 can not take the tour.  

  18. The european Trans-Tools transport model

    NARCIS (Netherlands)

    Rooijen, T. van; Burgess, A.

    2008-01-01

    The paper presents the use of ArcGIS in the Transtools Transport Model, TRANS-TOOLS, created by an international consortium for the European Commission. The model describe passenger as well as freight transport in Europe with all medium and long distance modes (cars, vans, trucks, train, inland

  19. System level modelling with open source tools

    DEFF Research Database (Denmark)

    Jakobsen, Mikkel Koefoed; Madsen, Jan; Niaki, Seyed Hosein Attarzadeh

    , called ForSyDe. ForSyDe is available under the open Source approach, which allows small and medium enterprises (SME) to get easy access to advanced modeling capabilities and tools. We give an introduction to the design methodology through the system level modeling of a simple industrial use case, and we...

  20. VISIT-TS: A multimedia tool for population studies on tic disorders [version 2; referees: 2 approved

    Directory of Open Access Journals (Sweden)

    M. Jonathan Vachon

    2016-10-01

    Full Text Available Population-based assessment of Tourette syndrome (TS and other tic disorders produces a paradox. On one hand, ideally diagnosis of tic disorders requires expert observation. In fact, diagnostic criteria for TS explicitly require expert assessment of tics for a definite diagnosis. On the other hand, large-scale population surveys with expert assessment of every subject are impracticable. True, several published studies have successfully used expert assessment to find tic prevalence in a representative population (e.g. all students in a school district. However, extending these studies to larger populations is daunting. We created a multimedia tool to demonstrate tics to a lay audience, discuss their defining and common attributes, and address features that differentiate tics from other movements and vocalizations. A first version was modified to improve clarity and to include a more diverse group in terms of age and ethnicity. The result is a tool intended for epidemiological research. It may also provide additional benefits, such as more representative minority recruitment for other TS studies and increased community awareness of TS.

  1. Visit Itinerary

    CERN Multimedia

    2002-01-01

    The visit itinerary includes five area of halls 191 and 180:. End-Cap Toroid Integration Area . Barrel Toroid Integration Area . Cryogenic Test Facility for Toroid Magnets and Helium Pumps . Liquid Argon Cryostats Assembly Area . Central Solenoid Magnet Test Station

  2. Disappearing scales in carps: re-visiting Kirpichnikov's model on the genetics of scale pattern formation.

    Directory of Open Access Journals (Sweden)

    Laura Casas

    Full Text Available The body of most fishes is fully covered by scales that typically form tight, partially overlapping rows. While some of the genes controlling the formation and growth of fish scales have been studied, very little is known about the genetic mechanisms regulating scale pattern formation. Although the existence of two genes with two pairs of alleles (S&s and N&n regulating scale coverage in cyprinids has been predicted by Kirpichnikov and colleagues nearly eighty years ago, their identity was unknown until recently. In 2009, the 'S' gene was found to be a paralog of fibroblast growth factor receptor 1, fgfr1a1, while the second gene called 'N' has not yet been identified. We re-visited the original model of Kirpichnikov that proposed four major scale pattern types and observed a high degree of variation within the so-called scattered phenotype due to which this group was divided into two sub-types: classical mirror and irregular. We also analyzed the survival rates of offspring groups and found a distinct difference between Asian and European crosses. Whereas nude × nude crosses involving at least one parent of Asian origin or hybrid with Asian parent(s showed the 25% early lethality predicted by Kirpichnikov (due to the lethality of the NN genotype, those with two Hungarian nude parents did not. We further extended Kirpichnikov's work by correlating changes in phenotype (scale-pattern to the deformations of fins and losses of pharyngeal teeth. We observed phenotypic changes which were not restricted to nudes, as described by Kirpichnikov, but were also present in mirrors (and presumably in linears as well; not analyzed in detail here. We propose that the gradation of phenotypes observed within the scattered group is caused by a gradually decreasing level of signaling (a dose-dependent effect probably due to a concerted action of multiple pathways involved in scale formation.

  3. Disappearing scales in carps: Re-visiting Kirpichnikov's model on the genetics of scale pattern formation

    KAUST Repository

    Casas, Laura

    2013-12-30

    The body of most fishes is fully covered by scales that typically form tight, partially overlapping rows. While some of the genes controlling the formation and growth of fish scales have been studied, very little is known about the genetic mechanisms regulating scale pattern formation. Although the existence of two genes with two pairs of alleles (S&s and N&n) regulating scale coverage in cyprinids has been predicted by Kirpichnikov and colleagues nearly eighty years ago, their identity was unknown until recently. In 2009, the \\'S\\' gene was found to be a paralog of fibroblast growth factor receptor 1, fgfr1a1, while the second gene called \\'N\\' has not yet been identified. We re-visited the original model of Kirpichnikov that proposed four major scale pattern types and observed a high degree of variation within the so-called scattered phenotype due to which this group was divided into two sub-types: classical mirror and irregular. We also analyzed the survival rates of offspring groups and found a distinct difference between Asian and European crosses. Whereas nude x nude crosses involving at least one parent of Asian origin or hybrid with Asian parent(s) showed the 25% early lethality predicted by Kirpichnikov (due to the lethality of the NN genotype), those with two Hungarian nude parents did not. We further extended Kirpichnikov\\'s work by correlating changes in phenotype (scale-pattern) to the deformations of fins and losses of pharyngeal teeth. We observed phenotypic changes which were not restricted to nudes, as described by Kirpichnikov, but were also present in mirrors (and presumably in linears as well; not analyzed in detail here). We propose that the gradation of phenotypes observed within the scattered group is caused by a gradually decreasing level of signaling (a dosedependent effect) probably due to a concerted action of multiple pathways involved in scale formation. 2013 Casas et al.

  4. Disappearing scales in carps: re-visiting Kirpichnikov's model on the genetics of scale pattern formation.

    Science.gov (United States)

    Casas, Laura; Szűcs, Réka; Vij, Shubha; Goh, Chin Heng; Kathiresan, Purushothaman; Németh, Sándor; Jeney, Zsigmond; Bercsényi, Miklós; Orbán, László

    2013-01-01

    The body of most fishes is fully covered by scales that typically form tight, partially overlapping rows. While some of the genes controlling the formation and growth of fish scales have been studied, very little is known about the genetic mechanisms regulating scale pattern formation. Although the existence of two genes with two pairs of alleles (S&s and N&n) regulating scale coverage in cyprinids has been predicted by Kirpichnikov and colleagues nearly eighty years ago, their identity was unknown until recently. In 2009, the 'S' gene was found to be a paralog of fibroblast growth factor receptor 1, fgfr1a1, while the second gene called 'N' has not yet been identified. We re-visited the original model of Kirpichnikov that proposed four major scale pattern types and observed a high degree of variation within the so-called scattered phenotype due to which this group was divided into two sub-types: classical mirror and irregular. We also analyzed the survival rates of offspring groups and found a distinct difference between Asian and European crosses. Whereas nude × nude crosses involving at least one parent of Asian origin or hybrid with Asian parent(s) showed the 25% early lethality predicted by Kirpichnikov (due to the lethality of the NN genotype), those with two Hungarian nude parents did not. We further extended Kirpichnikov's work by correlating changes in phenotype (scale-pattern) to the deformations of fins and losses of pharyngeal teeth. We observed phenotypic changes which were not restricted to nudes, as described by Kirpichnikov, but were also present in mirrors (and presumably in linears as well; not analyzed in detail here). We propose that the gradation of phenotypes observed within the scattered group is caused by a gradually decreasing level of signaling (a dose-dependent effect) probably due to a concerted action of multiple pathways involved in scale formation.

  5. Web tools for predictive toxicology model building.

    Science.gov (United States)

    Jeliazkova, Nina

    2012-07-01

    The development and use of web tools in chemistry has accumulated more than 15 years of history already. Powered by the advances in the Internet technologies, the current generation of web systems are starting to expand into areas, traditional for desktop applications. The web platforms integrate data storage, cheminformatics and data analysis tools. The ease of use and the collaborative potential of the web is compelling, despite the challenges. The topic of this review is a set of recently published web tools that facilitate predictive toxicology model building. The focus is on software platforms, offering web access to chemical structure-based methods, although some of the frameworks could also provide bioinformatics or hybrid data analysis functionalities. A number of historical and current developments are cited. In order to provide comparable assessment, the following characteristics are considered: support for workflows, descriptor calculations, visualization, modeling algorithms, data management and data sharing capabilities, availability of GUI or programmatic access and implementation details. The success of the Web is largely due to its highly decentralized, yet sufficiently interoperable model for information access. The expected future convergence between cheminformatics and bioinformatics databases provides new challenges toward management and analysis of large data sets. The web tools in predictive toxicology will likely continue to evolve toward the right mix of flexibility, performance, scalability, interoperability, sets of unique features offered, friendly user interfaces, programmatic access for advanced users, platform independence, results reproducibility, curation and crowdsourcing utilities, collaborative sharing and secure access.

  6. Graphical tools for model selection in generalized linear models.

    Science.gov (United States)

    Murray, K; Heritier, S; Müller, S

    2013-11-10

    Model selection techniques have existed for many years; however, to date, simple, clear and effective methods of visualising the model building process are sparse. This article describes graphical methods that assist in the selection of models and comparison of many different selection criteria. Specifically, we describe for logistic regression, how to visualize measures of description loss and of model complexity to facilitate the model selection dilemma. We advocate the use of the bootstrap to assess the stability of selected models and to enhance our graphical tools. We demonstrate which variables are important using variable inclusion plots and show that these can be invaluable plots for the model building process. We show with two case studies how these proposed tools are useful to learn more about important variables in the data and how these tools can assist the understanding of the model building process. Copyright © 2013 John Wiley & Sons, Ltd.

  7. Animal models: an important tool in mycology.

    Science.gov (United States)

    Capilla, Javier; Clemons, Karl V; Stevens, David A

    2007-12-01

    Animal models of fungal infections are, and will remain, a key tool in the advancement of the medical mycology. Many different types of animal models of fungal infection have been developed, with murine models the most frequently used, for studies of pathogenesis, virulence, immunology, diagnosis, and therapy. The ability to control numerous variables in performing the model allows us to mimic human disease states and quantitatively monitor the course of the disease. However, no single model can answer all questions and different animal species or different routes of infection can show somewhat different results. Thus, the choice of which animal model to use must be made carefully, addressing issues of the type of human disease to mimic, the parameters to follow and collection of the appropriate data to answer those questions being asked. This review addresses a variety of uses for animal models in medical mycology. It focuses on the most clinically important diseases affecting humans and cites various examples of the different types of studies that have been performed. Overall, animal models of fungal infection will continue to be valuable tools in addressing questions concerning fungal infections and contribute to our deeper understanding of how these infections occur, progress and can be controlled and eliminated.

  8. Promoting active visits to parks: models and strategies for transdisciplinary collaboration

    Science.gov (United States)

    David M. Buchner; Paul H. Gobster

    2007-01-01

    The purpose of this paper is to discuss the shared interest of the public health and parks and recreation sectors in promoting active visits to parks. At the institutional level, both sectors have missions to promote physical activity and view parks as key components in attaining physical activity goals. While some balancing among park goals may be necessary to avoid...

  9. Polish visit

    CERN Document Server

    2003-01-01

    On 6 October, Professor Michal Kleiber, Polish Minister of Science and Chairman of the State Committee for Scientific Research, visited CERN and met both the current and designated Director General, Luciano Maiani and Robert Aymar. Professor Kleiber visited the CMS and ATLAS detector assembly halls, the underground cavern for ATLAS, and the LHC superconducting magnet string test hall. Michal Kleiber (left), Polish minister of science and Jan Krolikowski, scientist at Warsaw University and working for CMS, who shows the prototypes of the Muon Trigger board of CMS.

  10. Austrian visit

    CERN Document Server

    2003-01-01

    Hans Hoffmann, Director for Technology Transfer and Scientific Computing, and Maria Rauch-Kallat, Minister of Health and Women's Issues, Austria, signing the visitors' book.Maria Rauch-Kallat, Minister of Health and Women's Issues, Austria, was welcomed by Hans Hoffmann, Director for Technology Transfer and Scientific Computing, on her visit to CERN on 19 May 2003. The theme of the visit was Technology Transfer and spin-offs from CERN for medical applications. Maria Rauch-Kallat toured also the installations of ATLAS.

  11. A tool box for implementing supersymmetric models

    Science.gov (United States)

    Staub, Florian; Ohl, Thorsten; Porod, Werner; Speckner, Christian

    2012-10-01

    We present a framework for performing a comprehensive analysis of a large class of supersymmetric models, including spectrum calculation, dark matter studies and collider phenomenology. To this end, the respective model is defined in an easy and straightforward way using the Mathematica package SARAH. SARAH then generates model files for CalcHep which can be used with micrOMEGAs as well as model files for WHIZARD and O'Mega. In addition, Fortran source code for SPheno is created which facilitates the determination of the particle spectrum using two-loop renormalization group equations and one-loop corrections to the masses. As an additional feature, the generated SPheno code can write out input files suitable for use with HiggsBounds to apply bounds coming from the Higgs searches to the model. Combining all programs provides a closed chain from model building to phenomenology. Program summary Program title: SUSY Phenomenology toolbox. Catalog identifier: AEMN_v1_0. Program summary URL: http://cpc.cs.qub.ac.uk/summaries/AEMN_v1_0.html. Program obtainable from: CPC Program Library, Queen's University, Belfast, N. Ireland. Licensing provisions: Standard CPC licence, http://cpc.cs.qub.ac.uk/licence/licence.html. No. of lines in distributed program, including test data, etc.: 140206. No. of bytes in distributed program, including test data, etc.: 1319681. Distribution format: tar.gz. Programming language: Autoconf, Mathematica. Computer: PC running Linux, Mac. Operating system: Linux, Mac OS. Classification: 11.6. Nature of problem: Comprehensive studies of supersymmetric models beyond the MSSM is considerably complicated by the number of different tasks that have to be accomplished, including the calculation of the mass spectrum and the implementation of the model into tools for performing collider studies, calculating the dark matter density and checking the compatibility with existing collider bounds (in particular, from the Higgs searches). Solution method: The

  12. European visit

    CERN Multimedia

    2006-01-01

    The European Commissioner for Science and Research, Janez Potočnik, (on the right) visited the CMS assembly hall accompanied by Jim Virdee, Deputy Spokesman of CMS (on the left), and Robert Aymar, Director-General of CERN. The European Commissioner for Science and Research, Janez Potočnik, visited CERN on Tuesday 31 January. He was welcomed by the Director-General, Robert Aymar, who described the missions and current activities of CERN to him, in particular the realisation of the LHC with its three components: accelerator, detectors, storage and processing of data. The European Commissioner then visited the CMS assembly hall, then the hall for testing the LHC magnets and the ATLAS cavern. During this first visit since his appointment at the end of 2004, Janez Potočnik appeared very interested by the operation of CERN, an example of successful scientific co-operation on a European scale. The many projects (30 on average) that CERN and the European Commission carry out jointly for the benefit of res...

  13. Encouraging early preventive dental visits for preschool-aged children enrolled in Medicaid: using the extended parallel process model to conduct formative research.

    Science.gov (United States)

    Askelson, Natoshia M; Chi, Donald L; Momany, Elizabeth; Kuthy, Raymond; Ortiz, Cristina; Hanson, Jessica D; Damiano, Peter

    2014-01-01

    Preventive dental visits for preschool-aged children can result in better oral health outcomes, especially for children from lower income families. Many children, however, still do not see a dentist for preventive visits. This qualitative study examined the potential for the Extended Parallel Process Model (EPPM) to be used to uncover potential antecedents to parents' decisions about seeking preventive dental care. Seventeen focus groups including 41 parents were conducted. The focus group protocol centered on constructs (perceived severity, perceived susceptibility, perceived self-efficacy, and perceived response efficacy) of the EPPM. Transcripts were analyzed by three coders who employed closed coding strategies. Parents' perceptions of severity of dental issues were high, particularly regarding negative health and appearance outcomes. Parents perceived susceptibility of their children to dental problems as low, primarily because most children in this study received preventive care, which parents viewed as highly efficacious. Parents' self-efficacy to obtain preventive care for their children was high. However, they were concerned about barriers including lack of dentists, especially dentists who are good with young children. Findings were consistent with EPPM, which suggests this model is a potential tool for understanding parents' decisions about seeking preventive dental care for their young children. Future research should utilize quantitative methods to test this model. © 2012 American Association of Public Health Dentistry.

  14. The Influence of Green Restaurant Decision Formation Using the VAB Model: The Effect of Environmental Concerns upon Intent to Visit

    OpenAIRE

    Yi-Man Teng; Kun-Shan Wu; Di-Man Huang

    2014-01-01

    The study investigates consumers’ intent to patron green restaurants by application of the Value-Attitude-Behavior model. The present study examines the interrelationships among consumers’ values, attitudes, and environmental concerns, and explores how they relate to their intentions to visit green restaurants in Taiwan. Data were gathered by face-to-face surveys, conducted by trained interviewers in a variety of locations, including at train stations, supermarkets, department stores, shoppin...

  15. Cosmic visits

    CERN Multimedia

    Stefania Pandolfi

    2015-01-01

    On Saturday, 19 September, ESA astronaut Luca Parmitano and Amalia Ercoli Finzi, Principal Investigator of the SD2 experiment on board the ESA Rosetta spacecraft, visited the AMS Control Centre and other CERN installations.   From left to right: Sergio Bertolucci (CERN Director of Research and Computing), Amalia Ercoli Finzi (Emeritus Professor in the Aerospace department of the Polytechnic University of Milan and Principal Investigator of the SD2 experiment on board the ESA Rosetta spacecraft), Maurice Bourquin (AMS-02 Senior Scientist and Honorary Professor in the Nuclear and Corpuscular Physics department of the University of Geneva) and Luca Parmitano (Major in the Italian Air Force and European Space Agency astronaut) in the AMS Payload and Operation Control Centre. They were welcomed in the early morning by Sergio Bertolucci and then headed to the Prévessin site to visit the CERN Control Centre and the Payload and Operation Control Centre (POCC) of the Alpha Magnetic Sp...

  16. Armenian visit

    CERN Multimedia

    2003-01-01

    During his visit to CERN on 4 July 2003, Karen Chshmaritian, Armenian Minister for Trade and Economic Development, toured the ATLAS experimental cavern and assembly hall. From left to right: Aram Kotzinian, from the international organization JINR from Dubna, Marzio Nessi from ATLAS, Karen Chshmaritian, Armenian Minister for Trade and Economic Development, Zohrab Mnatsakanian, Ambassador at the Permanent Mission of the Republic of Armenia to the United Nations in Geneva, Alexandre Sissakian, Vice-Director of JINR and Peter Jenni, ATLAS spokesman.

  17. WMT: The CSDMS Web Modeling Tool

    Science.gov (United States)

    Piper, M.; Hutton, E. W. H.; Overeem, I.; Syvitski, J. P.

    2015-12-01

    The Community Surface Dynamics Modeling System (CSDMS) has a mission to enable model use and development for research in earth surface processes. CSDMS strives to expand the use of quantitative modeling techniques, promotes best practices in coding, and advocates for the use of open-source software. To streamline and standardize access to models, CSDMS has developed the Web Modeling Tool (WMT), a RESTful web application with a client-side graphical interface and a server-side database and API that allows users to build coupled surface dynamics models in a web browser on a personal computer or a mobile device, and run them in a high-performance computing (HPC) environment. With WMT, users can: Design a model from a set of components Edit component parameters Save models to a web-accessible server Share saved models with the community Submit runs to an HPC system Download simulation results The WMT client is an Ajax application written in Java with GWT, which allows developers to employ object-oriented design principles and development tools such as Ant, Eclipse and JUnit. For deployment on the web, the GWT compiler translates Java code to optimized and obfuscated JavaScript. The WMT client is supported on Firefox, Chrome, Safari, and Internet Explorer. The WMT server, written in Python and SQLite, is a layered system, with each layer exposing a web service API: wmt-db: database of component, model, and simulation metadata and output wmt-api: configure and connect components wmt-exe: launch simulations on remote execution servers The database server provides, as JSON-encoded messages, the metadata for users to couple model components, including descriptions of component exchange items, uses and provides ports, and input parameters. Execution servers are network-accessible computational resources, ranging from HPC systems to desktop computers, containing the CSDMS software stack for running a simulation. Once a simulation completes, its output, in NetCDF, is packaged

  18. The Influence of Green Restaurant Decision Formation Using the VAB Model: The Effect of Environmental Concerns upon Intent to Visit

    Directory of Open Access Journals (Sweden)

    Yi-Man Teng

    2014-12-01

    Full Text Available The study investigates consumers’ intent to patron green restaurants by application of the Value-Attitude-Behavior model. The present study examines the interrelationships among consumers’ values, attitudes, and environmental concerns, and explores how they relate to their intentions to visit green restaurants in Taiwan. Data were gathered by face-to-face surveys, conducted by trained interviewers in a variety of locations, including at train stations, supermarkets, department stores, shopping malls, and adult education classes to obtain data from a representative demographic profile. The findings of this study suggest that the personal values and general attitudes positively affect consumers’ intentions to visit a green restaurant. Additionally, the results found personal values and environmental concern have significant influence on the attitude toward green restaurants. Managerial implications and future directions of these findings were also discussed.

  19. Comparison of BrainTool to other UML modeling and model transformation tools

    Science.gov (United States)

    Nikiforova, Oksana; Gusarovs, Konstantins

    2017-07-01

    In the last 30 years there were numerous model generated software systems offered targeting problems with the development productivity and the resulting software quality. CASE tools developed due today's date are being advertised as having "complete code-generation capabilities". Nowadays the Object Management Group (OMG) is calling similar arguments in regards to the Unified Modeling Language (UML) models at different levels of abstraction. It is being said that software development automation using CASE tools enables significant level of automation. Actual today's CASE tools are usually offering a combination of several features starting with a model editor and a model repository for a traditional ones and ending with code generator (that could be using a scripting or domain-specific (DSL) language), transformation tool to produce the new artifacts from the manually created and transformation definition editor to define new transformations for the most advanced ones. Present paper contains the results of CASE tool (mainly UML editors) comparison against the level of the automation they are offering.

  20. New tools for generation IV assemblies modelling

    International Nuclear Information System (INIS)

    Sylvie Aniel-Buchheit; Edwige Richebois

    2005-01-01

    Full text of publication follows: In the framework of the development of generation IV concepts, the need of new assembly modelling tools arises. These concepts present more geometrical and spectral heterogeneities (radially and axially). Moreover thermal-hydraulics and neutronics aspects are so closely related that coupled computations are necessary. That raises the need for more precise and flexible tools presenting 3D features. The 3D-coupling of the thermal-hydraulic code FLICA4 with the Monte-Carlo neutronics code TRIPOLI4 was developed in that frame. This new tool enables for the first time to obtain realistic axial and radial power profiles with real feedback effects in an assembly where thermal-hydraulics and neutronics effects are closely related. The BWR is the existing concept presenting the closest heterogeneous characteristics to the various new proposed concepts. This assembly design is thus chosen to compare this new tool, presenting real 3D characteristics, to the existing ones. For design studies, the evaluation of the assembly behavior, currently necessitate a depletion scheme using a 3D thermal-hydraulics assembly calculation coupled with a 1D axial neutronics deterministic calculation (or an axial power profile chosen as a function of the assembly averaged burn-up). The 3D neutronics code (CRONOS2) uses neutronic data built by 2D deterministic assembly calculations without feedback. These cross section libraries enable to take feedbacks into account via parameters such as fuel temperature, moderator density and temperature (history parameters such as void and control rod are not useful in design evaluation). Recently, the libraries build-up has been replaced by on line multi-2D deterministic assembly calculations performed by a cell code (APOLLO2). That avoids interpolation between pre-determined parameters in the cross-section data used by the 1D axial neutronics calculation and enable to give a radial power map to the 3D thermal

  1. Spanish Visit

    CERN Multimedia

    2004-01-01

    On 23 January, CERN welcomed a visit by Pedro Morenés Eulate, Spanish Secretary of State for Scientific and Technological Policy. He was taken on a tour of the LHC Superconducting test facility, the CMS magnet assembly hall and the civil engineering works at Point 5. After a brief presentation on the AMS (Alpha Magnetic Spectrometer) experiment, delivered by Sam Ting, and lunch hosted by Director General Robert Aymar, he continued his tour of the ATLAS assembly hall and the ISOLDE experimental hall. Pedro Morenés finished his visit by meeting with the Spanish scientific community working at CERN. From left to right: Juan-Antonio Rubio, CERN, Responsible for the Education & Communication, Technology transfer and Scientific Information groups; Gonzalo León, General Secretary of the Spanish Ministry; Joaquín Pérez-Villanueva y Tovar, Ambassador, Permanent Representative of Spain to the United Nations Office; Robert Aymar, CERN Director General; Maria-José Garcia-Borge, ISOLDE and NTOF, CSIC Madrid Tea...

  2. Collaboro: a collaborative (meta modeling tool

    Directory of Open Access Journals (Sweden)

    Javier Luis Cánovas Izquierdo

    2016-10-01

    Full Text Available Software development is becoming more and more collaborative, emphasizing the role of end-users in the development process to make sure the final product will satisfy customer needs. This is especially relevant when developing Domain-Specific Modeling Languages (DSMLs, which are modeling languages specifically designed to carry out the tasks of a particular domain. While end-users are actually the experts of the domain for which a DSML is developed, their participation in the DSML specification process is still rather limited nowadays. In this paper, we propose a more community-aware language development process by enabling the active participation of all community members (both developers and end-users from the very beginning. Our proposal, called Collaboro, is based on a DSML itself enabling the representation of change proposals during the language design and the discussion (and trace back of possible solutions, comments and decisions arisen during the collaboration. Collaboro also incorporates a metric-based recommender system to help community members to define high-quality notations for the DSMLs. We also show how Collaboro can be used at the model-level to facilitate the collaborative specification of software models. Tool support is available both as an Eclipse plug-in a web-based solution.

  3. Collaborative Inquiry Learning: Models, tools, and challenges

    Science.gov (United States)

    Bell, Thorsten; Urhahne, Detlef; Schanze, Sascha; Ploetzner, Rolf

    2010-02-01

    Collaborative inquiry learning is one of the most challenging and exciting ventures for today's schools. It aims at bringing a new and promising culture of teaching and learning into the classroom where students in groups engage in self-regulated learning activities supported by the teacher. It is expected that this way of learning fosters students' motivation and interest in science, that they learn to perform steps of inquiry similar to scientists and that they gain knowledge on scientific processes. Starting from general pedagogical reflections and science standards, the article reviews some prominent models of inquiry learning. This comparison results in a set of inquiry processes being the basis for cooperation in the scientific network NetCoIL. Inquiry learning is conceived in several ways with emphasis on different processes. For an illustration of the spectrum, some main conceptions of inquiry and their focuses are described. In the next step, the article describes exemplary computer tools and environments from within and outside the NetCoIL network that were designed to support processes of collaborative inquiry learning. These tools are analysed by describing their functionalities as well as effects on student learning known from the literature. The article closes with challenges for further developments elaborated by the NetCoIL network.

  4. A pandemic influenza modeling and visualization tool

    Energy Technology Data Exchange (ETDEWEB)

    Maciejewski, Ross; Livengood, Philip; Rudolph, Stephen; Collins, Timothy F.; Ebert, David S.; Brigantic, Robert T.; Corley, Courtney D.; Muller, George A.; Sanders, Stephen W.

    2011-08-01

    The National Strategy for Pandemic Influenza outlines a plan for community response to a potential pandemic. In this outline, state and local communities are charged with enhancing their preparedness. In order to help public health officials better understand these charges, we have developed a modeling and visualization toolkit (PanViz) for analyzing the effect of decision measures implemented during a simulated pandemic influenza scenario. Spread vectors based on the point of origin and distance traveled over time are calculated and the factors of age distribution and population density are taken into effect. Healthcare officials are able to explore the effects of the pandemic on the population through a spatiotemporal view, moving forward and backward through time and inserting decision points at various days to determine the impact. Linked statistical displays are also shown, providing county level summaries of data in terms of the number of sick, hospitalized and dead as a result of the outbreak. Currently, this tool has been deployed in Indiana State Department of Health planning and preparedness exercises, and as an educational tool for demonstrating the impact of social distancing strategies during the recent H1N1 (swine flu) outbreak.

  5. Multidisciplinary Modelling Tools for Power Electronic Circuits

    DEFF Research Database (Denmark)

    Bahman, Amir Sajjad

    package, e.g. power module, DFR approach meets trade-offs in electrical, thermal and mechanical design of the device. Today, virtual prototyping of power electronic circuits using advanced simulation tools is becoming attractive due to cost/time saving in building potential designs. With simulations......This thesis presents multidisciplinary modelling techniques in a Design For Reliability (DFR) approach for power electronic circuits. With increasing penetration of renewable energy systems, the demand for reliable power conversion systems is becoming critical. Since a large part of electricity...... is processed through power electronics, highly efficient, sustainable, reliable and cost-effective power electronic devices are needed. Reliability of a product is defined as the ability to perform within its predefined functions under given conditions in a specific time. Because power electronic devices...

  6. Atmospheric Model Evaluation Tool for meteorological and air quality simulations

    Science.gov (United States)

    The Atmospheric Model Evaluation Tool compares model predictions to observed data from various meteorological and air quality observation networks to help evaluate meteorological and air quality simulations.

  7. Evaluation of clinical information modeling tools.

    Science.gov (United States)

    Moreno-Conde, Alberto; Austin, Tony; Moreno-Conde, Jesús; Parra-Calderón, Carlos L; Kalra, Dipak

    2016-11-01

    Clinical information models are formal specifications for representing the structure and semantics of the clinical content within electronic health record systems. This research aims to define, test, and validate evaluation metrics for software tools designed to support the processes associated with the definition, management, and implementation of these models. The proposed framework builds on previous research that focused on obtaining agreement on the essential requirements in this area. A set of 50 conformance criteria were defined based on the 20 functional requirements agreed by that consensus and applied to evaluate the currently available tools. Of the 11 initiative developing tools for clinical information modeling identified, 9 were evaluated according to their performance on the evaluation metrics. Results show that functionalities related to management of data types, specifications, metadata, and terminology or ontology bindings have a good level of adoption. Improvements can be made in other areas focused on information modeling and associated processes. Other criteria related to displaying semantic relationships between concepts and communication with terminology servers had low levels of adoption. The proposed evaluation metrics were successfully tested and validated against a representative sample of existing tools. The results identify the need to improve tool support for information modeling and software development processes, especially in those areas related to governance, clinician involvement, and optimizing the technical validation of testing processes. This research confirmed the potential of these evaluation metrics to support decision makers in identifying the most appropriate tool for their organization. Los Modelos de Información Clínica son especificaciones para representar la estructura y características semánticas del contenido clínico en los sistemas de Historia Clínica Electrónica. Esta investigación define, prueba y valida

  8. Alternative approaches for econometric analysis of panel count data using dynamic latent class models (with application to doctor visits data).

    Science.gov (United States)

    Hyppolite, Judex; Trivedi, Pravin

    2012-06-01

    Cross-sectional latent class regression models, also known as switching regressions or hidden Markov models, cannot identify transitions between classes that may occur over time. This limitation can potentially be overcome when panel data are available. For such data, we develop a sequence of models that combine features of the static cross-sectional latent class (finite mixture) models with those of hidden Markov models. We model the probability of movement between categories in terms of a Markovian structure, which links the current state with a previous state, where state may refer to the category of an individual. This article presents a suite of mixture models of varying degree of complexity and flexibility for use in a panel count data setting, beginning with a baseline model which is a two-component mixture of Poisson distribution in which latent classes are fixed and permanent. Sequentially, we extend this framework (i) to allow the mixing proportions to be smoothly varying continuous functions of time-varying covariates, (ii) to add time dependence to the benchmark model by modeling the class-indicator variable as a first-order Markov chain and (iii) to extend item (i) by making it dynamic and introducing covariate dependence in the transition probabilities. We develop and implement estimation algorithms for these models and provide an empirical illustration using 1995-1999 panel data on the number of doctor visits derived from the German Socio-Economic Panel. Copyright © 2012 John Wiley & Sons, Ltd.

  9. [Benefit of the Internet as an information tool in case of oral contraceptive miss. Survey of 1964 women visiting the website www.g-oubliemapilule.com].

    Science.gov (United States)

    Lemaître, Sophie; Collier, Francis; Hulin, Vincent

    2009-12-20

    The aim of the study is to evaluate the utility of the website http://www.g-oubliemapilule.com/ that contains the recommendations of the French Haute Autorité de santé in case of oral contraceptive pill missing. This epidemiologic prospective study was conducted using an online questionnaire available at http://www.g-oubliemapilule.com/. The results emphasize the poor quality of information provided by the physicians. 40% of the physicians don't provide information about what to do in case of oral contraceptive pill missing during the first medical visit for oral contraceptive prescription and the physicians don't inquire about oral contraceptive pill missing during the follow-up in 3/4 of the cases. Furthermore, when women find information about what to do in case of oral contraceptive pill missing, a majority of them won't follow the advice provided even if it is fully understood. 60% of the women who should use the condom during the 7 days following the oral contraceptive pill missing don't use it and 86% of the women who should use the emergency contraceptive pill don't use it. The reason mostly invoked (1/3 of the cases) to support that behaviour is the assumption that the risk of pregnancy is too low. The results help to understand the gap between theoretical efficacy (Pearl Index: 0.3%) and real efficacy (8%) of the oral contraceptive pill. Finally, the website http://www.g-oubliemapilule.com/ is a useful well understood additional tool but can't replace the medical follow-up.

  10. Visits to Registered Nurses

    Science.gov (United States)

    Parker, Emese C.; Kong, Kevin; Watts, Leslie A.; Schwarz, Eleanor B.; Darney, Philip D.; Thiel de Bocanegra, Heike

    2017-01-01

    healthcare utilization within the subsequent 30 days. Discussion RN visits, though underutilized across the state, have resulted in increased access to contraception in some communities, an effect that may continue to grow with time and can serve as a model for other states. PMID:28604507

  11. Thermal behaviour modelling of superplastic forming tools

    OpenAIRE

    Velay , Vincent; Cutard , Thierry; Guegan , N.

    2008-01-01

    High-temperature operational conditions of super plastic forming (SPF) tools induce very complex thermomechanical loadings responsible to their failure. Various materials can be used to manufacture forming tools: ceramic, refractory castable or heat resistant steel. In this paper, an experimental and numerical analysis is performed in order to characterise the environmental loadings undergone by the tool whatever the considered material. This investigation allows to lead a thermal calculation...

  12. Modeling, methodologies and tools for molecular and nano-scale communications modeling, methodologies and tools

    CERN Document Server

    Nakano, Tadashi; Moore, Michael

    2017-01-01

    (Preliminary) The book presents the state of art in the emerging field of molecular and nanoscale communication. It gives special attention to fundamental models, and advanced methodologies and tools used in the field. It covers a wide range of applications, e.g. nanomedicine, nanorobot communication, bioremediation and environmental managements. It addresses advanced graduate students, academics and professionals working at the forefront in their fields and at the interfaces between different areas of research, such as engineering, computer science, biology and nanotechnology.

  13. On the Same Page: A Novel Interprofessional Model of Patient-Centered Perinatal Consultation Visits

    OpenAIRE

    Phillippi, Julia C.; Holley, Sharon L.; Schorn, Mavis N.; Lauderdale, Jana; Roumie, Christianne L.; Bennett, Kelly

    2016-01-01

    OBJECTIVE To plan and implement an interprofessional collaborative care clinic for women in midwifery care needing a consultation with a maternal-fetal medicine specialist. DESIGN A community-engaged design was used to develop a new model of collaborative perinatal consultation which was tested with 50 women. Participant perinatal outcomes and semi-structured interviews with 15 women (analyzed using qualitative descriptive analysis) and clinic providers were used to evaluate the model. RESULT...

  14. Developing a Modeling Tool Using Eclipse

    NARCIS (Netherlands)

    Kirtley, Nick; Waqas Kamal, Ahmad; Avgeriou, Paris

    2008-01-01

    Tool development using an open source platform provides autonomy to users to change, use, and develop cost-effective software with freedom from licensing requirements. However, open source tool development poses a number of challenges, such as poor documentation and continuous evolution. In this

  15. Simulation Tools Model Icing for Aircraft Design

    Science.gov (United States)

    2012-01-01

    the years from strictly a research tool to one used routinely by industry and other government agencies. Glenn contractor William Wright has been the architect of this development, supported by a team of researchers investigating icing physics, creating validation data, and ensuring development according to standard software engineering practices. The program provides a virtual simulation environment for determining where water droplets strike an airfoil in flight, what kind of ice would result, and what shape that ice would take. Users can enter geometries for specific, two-dimensional cross sections of an airfoil or other airframe surface and then apply a range of inputs - different droplet sizes, temperatures, airspeeds, and more - to model how ice would build up on the surface in various conditions. The program s versatility, ease of use, and speed - LEWICE can run through complex icing simulations in only a few minutes - have contributed to it becoming a popular resource in the aviation industry.

  16. Valuing snorkeling visits to the Florida Keys with stated and revealed preference models

    Science.gov (United States)

    Timothy Park; J. Michael Bowker; Vernon R. Leeworthy

    2002-01-01

    Coastal coral reefs, especially in the Florida Keys, are declining at a disturbing rate. Marine ecologists and reef scientists have emphasized the importance of establishing nonmarket values of coral reefs to assess the cost effectiveness of coral reef management and remediation programs. The purpose of this paper is to develop a travel cost--contingent valuation model...

  17. Dynamic wind turbine models in power system simulation tool

    DEFF Research Database (Denmark)

    Hansen, A.; Jauch, Clemens; Soerensen, P.

    The present report describes the dynamic wind turbine models implemented in the power system simulation tool DIgSILENT. The developed models are a part of the results of a national research project, whose overall objective is to create a model database in different simulation tools. The report...

  18. Modeling and Simulation Tools for Heavy Lift Airships

    Science.gov (United States)

    Hochstetler, Ron; Chachad, Girish; Hardy, Gordon; Blanken, Matthew; Melton, John

    2016-01-01

    For conventional fixed wing and rotary wing aircraft a variety of modeling and simulation tools have been developed to provide designers the means to thoroughly investigate proposed designs and operational concepts. However, lighter-than-air (LTA) airships, hybrid air vehicles, and aerostats have some important aspects that are different from heavier-than-air (HTA) vehicles. In order to account for these differences, modifications are required to the standard design tools to fully characterize the LTA vehicle design and performance parameters.. To address these LTA design and operational factors, LTA development organizations have created unique proprietary modeling tools, often at their own expense. An expansion of this limited LTA tool set could be accomplished by leveraging existing modeling and simulation capabilities available in the National laboratories and public research centers. Development of an expanded set of publicly available LTA modeling and simulation tools for LTA developers would mitigate the reliance on proprietary LTA design tools in use today. A set of well researched, open source, high fidelity LTA design modeling and simulation tools would advance LTA vehicle development and also provide the analytical basis for accurate LTA operational cost assessments. This paper will present the modeling and analysis tool capabilities required for LTA vehicle design, analysis of operations, and full life-cycle support. A survey of the tools currently available will be assessed to identify the gaps between their capabilities and the LTA industry's needs. Options for development of new modeling and analysis capabilities to supplement contemporary tools will also be presented.

  19. Modeling and Tool Wear in Routing of CFRP

    International Nuclear Information System (INIS)

    Iliescu, D.; Fernandez, A.; Gutierrez-Orrantia, M. E.; Lopez de Lacalle, L. N.; Girot, F.

    2011-01-01

    This paper presents the prediction and evaluation of feed force in routing of carbon composite material. In order to extend tool life and improve quality of the machined surface, a better understanding of uncoated and coated tool behaviors is required. This work describes (1) the optimization of the geometry of multiple teeth tools minimizing the tool wear and the feed force, (2) the optimization of tool coating and (3) the development of a phenomenological model between the feed force, the routing parameters and the tool wear. The experimental results indicate that the feed rate, the cutting speed and the tool wear are the most significant factors affecting the feed force. In the case of multiple teeth tools, a particular geometry with 14 teeth right helix right cut and 11 teeth left helix right cut gives the best results. A thick AlTiN coating or a diamond coating can dramatically improve the tool life while minimizing the axial force, roughness and delamination. A wear model has then been developed based on an abrasive behavior of the tool. The model links the feed rate to the tool geometry parameters (tool diameter), to the process parameters (feed rate, cutting speed and depth of cut) and to the wear. The model presented has been verified by experimental tests.

  20. Integrating decision management with UML modeling concepts and tools

    DEFF Research Database (Denmark)

    Könemann, Patrick

    2009-01-01

    Numerous design decisions including architectural decisions are made while developing a software system, which influence the architecture of the system as well as subsequent decisions. Several tools already exist for managing design decisions, i.e. capturing, documenting, and maintaining them......, but also for guiding the user by proposing subsequent decisions. In model-based software development, many decisions directly affect the structural and behavioral models used to describe and develop a software system and its architecture. However, the decisions are typically not connected to these models....... In this paper, we propose an integration of a decision management and a UML-based modeling tool, based on use cases we distill from an example: the UML modeling tool shall show all decisions related to a model and allow extending or updating them; the decision management tool shall trigger the modeling tool...

  1. Spin-bowling in cricket re-visited: model trajectories for various spin-vector angles

    Science.gov (United States)

    Robinson, Garry; Robinson, Ian

    2016-08-01

    In this paper we investigate, via the calculation of model trajectories appropriate to slow bowling in cricket, the effects on the flight path of the ball before pitching due to changes in the angle of the spin-vector. This was accomplished by allowing the spin-vector to vary in three ways. Firstly, from off-spin, where the spin-vector points horizontally and directly down the pitch, to top-spin where it points horizontally towards the off-side of the pitch. Secondly, from off-spin to side-spin where, for side-spin, the spin-vector points vertically upwards. Thirdly, where the spin-vector points horizontally and at 45° to the pitch (in the general direction of ‘point’, as viewed by the bowler), and is varied towards the vertical, while maintaining the 45° angle in the horizontal plane. It is found that, as is well known, top-spin causes the ball to dip in flight, side-spin causes the ball to move side-ways in flight and, perhaps most importantly, off-spin can cause the ball to drift to the off-side of the pitch late in its flight as it begins to fall. At a more subtle level it is found that, if the total spin is kept constant and a small amount of top-spin is added to the ball at the expense of some off-spin, there is little change in the side-ways drift. However, a considerable reduction in the length at which the ball pitches occurs, ˜25 cm, an amount that batsmen can ignore at their peril. On the other hand, a small amount of side-spin introduced to a top-spin delivery does not alter the point of pitching significantly, but produces a considerable amount of side-ways drift, ˜10 cm or more. For pure side-spin the side-ways drift is up to ˜30 cm. When a side-spin component is added to the spin of a ball bowled with a mixture of off-spin and top-spin in equal proportions, significant movement occurs in both the side-ways direction and in the point of pitching, of the order of a few tens of centimetres.

  2. Student Model Tools Code Release and Documentation

    DEFF Research Database (Denmark)

    Johnson, Matthew; Bull, Susan; Masci, Drew

    of its strengths and areas of improvement (Section 6). Several key appendices are attached to this report including user manuals for teacher and students (Appendix 3). Fundamentally, all relevant information is included in the report for those wishing to do further development work with the tool...

  3. Computer-Aided Modelling Methods and Tools

    DEFF Research Database (Denmark)

    Cameron, Ian; Gani, Rafiqul

    2011-01-01

    . To illustrate these concepts a number of examples are used. These include models of polymer membranes, distillation and catalyst behaviour. Some detailed considerations within these models are stated and discussed. Model generation concepts are introduced and ideas of a reference model are given that shows...

  4. Preliminary study into the components of the fear-avoidance model of LBP: change after an initial chiropractic visit and influence on outcome

    Directory of Open Access Journals (Sweden)

    Newell Dave

    2010-07-01

    Full Text Available Abstract Background In the last decade the sub grouping of low back pain (LBP patients according to their likely response to treatment has been identified as a research priority. As with other patient groups, researchers have found few if any factors from the case history or physical examination that are helpful in predicting the outcome of chiropractic care. However, in the wider LBP population psychosocial factors have been identified that are significantly prognostic. This study investigated changes in the components of the LBP fear-avoidance beliefs model in patients pre- and post- their initial visit with a chiropractor to determine if there was a relationship with outcomes at 1 month. Methods Seventy one new patients with lower back pain as their primary complaint presenting for chiropractic care to one of five clinics (nine chiropractors completed questionnaires before their initial visit (pre-visit and again just before their second appointment (post-visit. One month after the initial consultation, patient global impression of change (PGIC scores were collected. Pre visit and post visit psychological domain scores were analysed for any association with outcomes at 1 month. Results Group mean scores for Fear Avoidance Beliefs (FAB, catastrophisation and self-efficacy were all improved significantly within a few days of a patient's initial chiropractic consultation. Pre-visit catastrophisation as well as post-visit scores for catastrophisation, back beliefs (inevitability and self-efficacy were weakly correlated with patient's global impression of change (PGIC at 1 month. However when the four assessed psychological variables were dichotomised about pre-visit group medians those individuals with 2 or more high variables post-visit had a substantially increased risk (OR 36.4 (95% CI 6.2-213.0 of poor recovery at 1 month. Seven percent of patients with 1 or fewer adverse psychological variables described poor benefit compared to 73% of those

  5. Large scale experiments as a tool for numerical model development

    DEFF Research Database (Denmark)

    Kirkegaard, Jens; Hansen, Erik Asp; Fuchs, Jesper

    2003-01-01

    for improvement of the reliability of physical model results. This paper demonstrates by examples that numerical modelling benefits in various ways from experimental studies (in large and small laboratory facilities). The examples range from very general hydrodynamic descriptions of wave phenomena to specific......Experimental modelling is an important tool for study of hydrodynamic phenomena. The applicability of experiments can be expanded by the use of numerical models and experiments are important for documentation of the validity of numerical tools. In other cases numerical tools can be applied...... hydrodynamic interaction with structures. The examples also show that numerical model development benefits from international co-operation and sharing of high quality results....

  6. Advanced reach tool (ART) : Development of the mechanistic model

    NARCIS (Netherlands)

    Fransman, W.; Tongeren, M. van; Cherrie, J.W.; Tischer, M.; Schneider, T.; Schinkel, J.; Kromhout, H.; Warren, N.; Goede, H.; Tielemans, E.

    2011-01-01

    This paper describes the development of the mechanistic model within a collaborative project, referred to as the Advanced REACH Tool (ART) project, to develop a tool to model inhalation exposure for workers sharing similar operational conditions across different industries and locations in Europe.

  7. Storm Water Management Model Climate Adjustment Tool (SWMM-CAT)

    Science.gov (United States)

    The US EPA’s newest tool, the Stormwater Management Model (SWMM) – Climate Adjustment Tool (CAT) is meant to help municipal stormwater utilities better address potential climate change impacts affecting their operations. SWMM, first released in 1971, models hydrology and hydrauli...

  8. Dynamic wind turbine models in power system simulation tool

    DEFF Research Database (Denmark)

    Hansen, A.; Jauch, Clemens; Soerensen, P.

    The present report describes the dynamic wind turbine models implemented in the power system simulation tool DIgSILENT. The developed models are a part of the results of a national research project, whose overall objective is to create a model database in different simulation tools. The report...... provides a description of the wind turbine modelling, both at a component level and at a system level....

  9. The scientific modeling assistant: An advanced software tool for scientific model building

    Science.gov (United States)

    Keller, Richard M.; Sims, Michael H.

    1991-01-01

    Viewgraphs on the scientific modeling assistant: an advanced software tool for scientific model building are presented. The objective is to build a specialized software tool to assist in scientific model-building.

  10. Scratch as a computational modelling tool for teaching physics

    Science.gov (United States)

    Lopez, Victor; Hernandez, Maria Isabel

    2015-05-01

    The Scratch online authoring tool, which features a simple programming language that has been adapted to primary and secondary students, is being used more and more in schools as it offers students and teachers the opportunity to use a tool to build scientific models and evaluate their behaviour, just as can be done with computational modelling programs. In this article, we briefly discuss why Scratch could be a useful tool for computational modelling in the primary or secondary physics classroom, and we present practical examples of how it can be used to build a model.

  11. Shape: A 3D Modeling Tool for Astrophysics.

    Science.gov (United States)

    Steffen, Wolfgang; Koning, Nicholas; Wenger, Stephan; Morisset, Christophe; Magnor, Marcus

    2011-04-01

    We present a flexible interactive 3D morpho-kinematical modeling application for astrophysics. Compared to other systems, our application reduces the restrictions on the physical assumptions, data type, and amount that is required for a reconstruction of an object's morphology. It is one of the first publicly available tools to apply interactive graphics to astrophysical modeling. The tool allows astrophysicists to provide a priori knowledge about the object by interactively defining 3D structural elements. By direct comparison of model prediction with observational data, model parameters can then be automatically optimized to fit the observation. The tool has already been successfully used in a number of astrophysical research projects.

  12. Spatial Modeling Tools for Cell Biology

    Science.gov (United States)

    2006-10-01

    of the cells total volume. The cytosol contains thousands of enzymes that are responsible for the catalyzation of glycolysis and gluconeogenesis ... dog , swine and pig models [Pantely, 1990, 1991; Stanley 1992]. In these studies, blood flow through the left anterior descending (LAD) coronary...perfusion. In conclusion, even thought our model falls within the (rather large) error bounds of experimental dog , pig and swine models, the

  13. Towards a generalized energy prediction model for machine tools.

    Science.gov (United States)

    Bhinge, Raunak; Park, Jinkyoo; Law, Kincho H; Dornfeld, David A; Helu, Moneer; Rachuri, Sudarsan

    2017-04-01

    Energy prediction of machine tools can deliver many advantages to a manufacturing enterprise, ranging from energy-efficient process planning to machine tool monitoring. Physics-based, energy prediction models have been proposed in the past to understand the energy usage pattern of a machine tool. However, uncertainties in both the machine and the operating environment make it difficult to predict the energy consumption of the target machine reliably. Taking advantage of the opportunity to collect extensive, contextual, energy-consumption data, we discuss a data-driven approach to develop an energy prediction model of a machine tool in this paper. First, we present a methodology that can efficiently and effectively collect and process data extracted from a machine tool and its sensors. We then present a data-driven model that can be used to predict the energy consumption of the machine tool for machining a generic part. Specifically, we use Gaussian Process (GP) Regression, a non-parametric machine-learning technique, to develop the prediction model. The energy prediction model is then generalized over multiple process parameters and operations. Finally, we apply this generalized model with a method to assess uncertainty intervals to predict the energy consumed to machine any part using a Mori Seiki NVD1500 machine tool. Furthermore, the same model can be used during process planning to optimize the energy-efficiency of a machining process.

  14. Pediatric Obesity Empowerment Model Group Medical Visits (POEM-GMV) as Treatment for Pediatric Obesity in an Underserved Community.

    Science.gov (United States)

    Geller, Jeffrey S; Dube, Eileen T; Cruz, Glavielinys A; Stevens, Jason; Keating Bench, Kara

    2015-10-01

    This is a retrospective cohort study to evaluate a novel group medical visit (GMV) program using an empowerment curriculum as treatment for pediatric obesity in a federally qualified community health center. Biometric and self-reported data were reviewed from 417 overweight or obese children ages 5-18 attending the pediatric obesity empowerment model GMV program (POEM-GMV) at least twice during a 3-year period. Variables were evaluated using paired means t-test. Pearson's correlation test was used to evaluate variables and the BMI z-score. Subanalysis by gender was performed. The average participant was 10.48 ± 2.53 years old and participated for 301 ± 287 days. BMI z-score reduced from 2.99 ± 0.96 to 2.88 ± 0.88 (p pediatric obesity in an underserved community. There were statistically significantly improved outcomes in obesity, especially for boys. Significant improvement was observed in many lifestyle factors associated with obesity. Weight loss most closely correlated with reduced stress levels and sugary beverage consumption. Additional studies are needed to further evaluate the efficacy of POEM-GMV.

  15. Mathematical modelling of migration: A suitable tool for the enforcement authorities?

    DEFF Research Database (Denmark)

    Petersen, Jens Højslev; Trier, Xenia Thorsager; Fabech, B.

    2005-01-01

    possibilities of implementing migration-modelling software as a tool in official food control and possibly in improving the own-check programmes of Danish plastic-converting plants. Food inspectors from nine regional food control centres initially attended a training course in the use of a commercial modelling...... reason was a lack of information from those in the raw material supply chain who considered their products protected by commercial confidentiality. In general, the food inspectors were in favour of using migration modelling for future control visits.......A few years ago, it became accepted that the plastics industry could use migration modelling for compliance testing. When a calculation confirms that the migration of a compound from a plastic material or article is below the specific migration limit, this is considered sufficient documentation...

  16. A model of tool wear monitoring system for turning

    OpenAIRE

    Šimunović, Goran; Ficko, Mirko; Šarić, Tomislav; Milošević, Mijodrag; Antić, Aco

    2015-01-01

    Acquiring high-quality and timely information on the tool wear condition in real time, presents a necessary prerequisite for identification of tool wear degree, which significantly improves the stability and quality of the machining process. Defined in this paper is a model of tool wear monitoring system with special emphasis on the module for acquisition and processing of vibration acceleration signal by applying discrete wavelet transformations (DWT) in signal decomposition. The paper prese...

  17. Systematic Methods and Tools for Computer Aided Modelling

    DEFF Research Database (Denmark)

    Fedorova, Marina

    Models are playing important roles in design and analysis of chemicals/bio-chemicals based products and the processes that manufacture them. Model-based methods and tools have the potential to decrease the number of experiments, which can be expensive and time consuming, and point to candidates......, where the experimental effort could be focused. In this project a general modelling framework for systematic model building through modelling templates, which supports the reuse of existing models via its new model import and export capabilities, have been developed. The new feature for model transfer...... has been developed by establishing a connection with an external modelling environment for code generation. The main contribution of this thesis is a creation of modelling templates and their connection with other modelling tools within a modelling framework. The goal was to create a user...

  18. Agent Based Modeling as an Educational Tool

    Science.gov (United States)

    Fuller, J. H.; Johnson, R.; Castillo, V.

    2012-12-01

    Motivation is a key element in high school education. One way to improve motivation and provide content, while helping address critical thinking and problem solving skills, is to have students build and study agent based models in the classroom. This activity visually connects concepts with their applied mathematical representation. "Engaging students in constructing models may provide a bridge between frequently disconnected conceptual and mathematical forms of knowledge." (Levy and Wilensky, 2011) We wanted to discover the feasibility of implementing a model based curriculum in the classroom given current and anticipated core and content standards.; Simulation using California GIS data ; Simulation of high school student lunch popularity using aerial photograph on top of terrain value map.

  19. Graphical Tools for Linear Structural Equation Modeling

    Science.gov (United States)

    2014-06-01

    regression coefficient βS A.CQ1 van- ishes, which can be used to test whether the specification of Model 2 is compatible with the data. Most...because they are all compatible with the graph in Figure 19a, which displays the skeleton and v-structures. Note that we cannot reverse the edge from...im- plications of linear structual equation models. R-428, <http://ftp.cs.ucla.edu/pub/stat_ser/r428.pdf>, CA. To ap- pear in Proceedings of AAAI-2014

  20. Toposcopy : A modelling tool for CITYGML

    NARCIS (Netherlands)

    Groneman, A.; Zlatanova, S.

    2009-01-01

    The new 3D standard CityGML has been attracting a lot of attention in the last few years. Many characteristics of the XML-based format make it suitable for storage and exchange of virtual 3D city models. It provides possibilities to store semantic and geometric information and has the potential to

  1. Using the IEA ETSAP modelling tools for Denmark

    DEFF Research Database (Denmark)

    Grohnheit, Poul Erik

    -annual workshops focusing on presentations of model analyses and use of the ETSAP' tools (the MARKAL/TIMES family of models). The project was also planned to benefit from the EU project ”NEEDS - New Energy Externalities Developments for Sustainability. ETSAP is contributing to a part of NEEDS that develops......, Environment and Health (CEEH), starting from January 2007. This report summarises the activities under ETSAP Annex X and related project, emphasising the development of modelling tools that will be useful for modelling the Danish energy system. It is also a status report for the development of a model...

  2. Predictions of titanium alloy properties using thermodynamic modeling tools

    Science.gov (United States)

    Zhang, F.; Xie, F.-Y.; Chen, S.-L.; Chang, Y. A.; Furrer, D.; Venkatesh, V.

    2005-12-01

    Thermodynamic modeling tools have become essential in understanding the effect of alloy chemistry on the final microstructure of a material. Implementation of such tools to improve titanium processing via parameter optimization has resulted in significant cost savings through the elimination of shop/laboratory trials and tests. In this study, a thermodynamic modeling tool developed at CompuTherm, LLC, is being used to predict β transus, phase proportions, phase chemistries, partitioning coefficients, and phase boundaries of multicomponent titanium alloys. This modeling tool includes Pandat, software for multicomponent phase equilibrium calculations, and PanTitanium, a thermodynamic database for titanium alloys. Model predictions are compared with experimental results for one α-β alloy (Ti-64) and two near-β alloys (Ti-17 and Ti-10-2-3). The alloying elements, especially the interstitial elements O, N, H, and C, have been shown to have a significant effect on the β transus temperature, and are discussed in more detail herein.

  3. A tool for model based diagnostics of the AGS Booster

    International Nuclear Information System (INIS)

    Luccio, A.

    1993-01-01

    A model-based algorithmic tool was developed to search for lattice errors by a systematic analysis of orbit data in the AGS Booster synchrotron. The algorithm employs transfer matrices calculated with MAD between points in the ring. Iterative model fitting of the data allows one to find and eventually correct magnet displacements and angles or field errors. The tool, implemented on a HP-Apollo workstation system, has proved very general and of immediate physical interpretation

  4. Static Stiffness Modeling of Parallel Kinematics Machine Tool Joints

    OpenAIRE

    O. K. Akmaev; B. A. Enikeev; A. I. Nigmatullin

    2015-01-01

    The possible variants of an original parallel kinematics machine-tool structure are explored in this article. A new Hooke's universal joint design based on needle roller bearings with the ability of a preload setting is proposed. The bearing stiffness modeling is carried out using a variety of methods. The elastic deformation modeling of a Hook’s joint and a spherical rolling joint have been developed to assess the possibility of using these joints in machine tools with parallel k...

  5. Transparent Model Transformation: Turning Your Favourite Model Editor into a Transformation Tool

    DEFF Research Database (Denmark)

    Acretoaie, Vlad; Störrle, Harald; Strüber, Daniel

    2015-01-01

    Current model transformation languages are supported by dedicated editors, often closely coupled to a single execution engine. We introduce Transparent Model Transformation, a paradigm enabling modelers to specify transformations using a familiar tool: their model editor. We also present VMTL, th...... model transformation tool sharing the model editor’s benefits, transparently....

  6. Risk Assessment in Fractured Clayey Tills - Which Modeling Tools?

    DEFF Research Database (Denmark)

    Chambon, Julie Claire Claudia; Bjerg, Poul Løgstrup; Binning, Philip John

    2012-01-01

    The article presents different tools available for risk assessment in fractured clayey tills and their advantages and limitations are discussed. Because of the complex processes occurring during contaminant transport through fractured media, the development of simple practical tools for risk...... assessment is challenging and the inclusion of the relevant processes is difficult. Furthermore the lack of long-term monitoring data prevents from verifying the accuracy of the different conceptual models. Further investigations based on long-term data and numerical modeling are needed to accurately...... describe contaminant transport in fractured media and develop practical tools with the relevant processes and level of complexity....

  7. Rasp Tool on Phoenix Robotic Arm Model

    Science.gov (United States)

    2008-01-01

    This close-up photograph taken at the Payload Interoperability Testbed at the University of Arizona, Tucson, shows the motorized rasp protruding from the bottom of the scoop on the engineering model of NASA's Phoenix Mars Lander's Robotic Arm. The rasp will be placed against the hard Martian surface to cut into the hard material and acquire an icy soil sample for analysis by Phoenix's scientific instruments. The Phoenix Mission is led by the University of Arizona, Tucson, on behalf of NASA. Project management of the mission is led by NASA's Jet Propulsion Laboratory, Pasadena, Calif. Spacecraft development is by Lockheed Martin Space Systems, Denver.

  8. Modeling Tools for Drilling, Reservoir Navigation, and Formation Evaluation

    Directory of Open Access Journals (Sweden)

    Sushant Dutta

    2012-06-01

    Full Text Available The oil and gas industry routinely uses borehole tools for measuring or logging rock and fluid properties of geologic formations to locate hydrocarbons and maximize their production. Pore fluids in formations of interest are usually hydrocarbons or water. Resistivity logging is based on the fact that oil and gas have a substantially higher resistivity than water. The first resistivity log was acquired in 1927, and resistivity logging is still the foremost measurement used for drilling and evaluation. However, the acquisition and interpretation of resistivity logging data has grown in complexity over the years. Resistivity logging tools operate in a wide range of frequencies (from DC to GHz and encounter extremely high (several orders of magnitude conductivity contrast between the metal mandrel of the tool and the geologic formation. Typical challenges include arbitrary angles of tool inclination, full tensor electric and magnetic field measurements, and interpretation of complicated anisotropic formation properties. These challenges combine to form some of the most intractable computational electromagnetic problems in the world. Reliable, fast, and convenient numerical modeling of logging tool responses is critical for tool design, sensor optimization, virtual prototyping, and log data inversion. This spectrum of applications necessitates both depth and breadth of modeling software—from blazing fast one-dimensional (1-D modeling codes to advanced threedimensional (3-D modeling software, and from in-house developed codes to commercial modeling packages. In this paper, with the help of several examples, we demonstrate our approach for using different modeling software to address different drilling and evaluation applications. In one example, fast 1-D modeling provides proactive geosteering information from a deep-reading azimuthal propagation resistivity measurement. In the second example, a 3-D model with multiple vertical resistive fractures

  9. Model based methods and tools for process systems engineering

    DEFF Research Database (Denmark)

    Gani, Rafiqul

    Process systems engineering (PSE) provides means to solve a wide range of problems in a systematic and efficient manner. This presentation will give a perspective on model based methods and tools needed to solve a wide range of problems in product-process synthesis-design. These methods and tools...... need to be integrated with work-flows and data-flows for specific product-process synthesis-design problems within a computer-aided framework. The framework therefore should be able to manage knowledge-data, models and the associated methods and tools needed by specific synthesis-design work...... of model based methods and tools within a computer aided framework for product-process synthesis-design will be highlighted....

  10. Pre-Processing and Modeling Tools for Bigdata

    Directory of Open Access Journals (Sweden)

    Hashem Hadi

    2016-09-01

    Full Text Available Modeling tools and operators help the user / developer to identify the processing field on the top of the sequence and to send into the computing module only the data related to the requested result. The remaining data is not relevant and it will slow down the processing. The biggest challenge nowadays is to get high quality processing results with a reduced computing time and costs. To do so, we must review the processing sequence, by adding several modeling tools. The existing processing models do not take in consideration this aspect and focus on getting high calculation performances which will increase the computing time and costs. In this paper we provide a study of the main modeling tools for BigData and a new model based on pre-processing.

  11. Designer Modeling for Personalized Game Content Creation Tools

    DEFF Research Database (Denmark)

    Liapis, Antonios; Yannakakis, Georgios N.; Togelius, Julian

    2013-01-01

    With the growing use of automated content creation and computer-aided design tools in game development, there is potential for enhancing the design process through personalized interactions between the software and the game developer. This paper proposes designer modeling for capturing the designer......’s preferences, goals and processes from their interaction with a computer-aided design tool, and suggests methods and domains within game development where such a model can be applied. We describe how designer modeling could be integrated with current work on automated and mixed-initiative content creation...

  12. Fish habitat simulation models and integrated assessment tools

    International Nuclear Information System (INIS)

    Harby, A.; Alfredsen, K.

    1999-01-01

    Because of human development water use increases in importance, and this worldwide trend is leading to an increasing number of user conflicts with a strong need for assessment tools to measure the impacts both on the ecosystem and the different users and user groups. The quantitative tools must allow a comparison of alternatives, different user groups, etc., and the tools must be integrated while impact assessments includes different disciplines. Fish species, especially young ones, are indicators of the environmental state of a riverine system and monitoring them is a way to follow environmental changes. The direct and indirect impacts on the ecosystem itself are measured, and impacts on user groups is not included. Fish habitat simulation models are concentrated on, and methods and examples are considered from Norway. Some ideas on integrated modelling tools for impact assessment studies are included. One dimensional hydraulic models are rapidly calibrated and do not require any expert knowledge in hydraulics. Two and three dimensional models require a bit more skilled users, especially if the topography is very heterogeneous. The advantages of using two and three dimensional models include: they do not need any calibration, just validation; they are predictive; and they can be more cost effective than traditional habitat hydraulic models when combined with modern data acquisition systems and tailored in a multi-disciplinary study. Suitable modelling model choice should be based on available data and possible data acquisition, available manpower, computer, and software resources, and needed output and accuracy in the output. 58 refs

  13. Simulation Tools for Electrical Machines Modelling: Teaching and ...

    African Journals Online (AJOL)

    Simulation tools are used both for research and teaching to allow a good comprehension of the systems under study before practical implementations. This paper illustrates the way MATLAB is used to model non-linearites in synchronous machine. The machine is modeled in rotor reference frame with currents as state ...

  14. Advanced REACH Tool (ART) : Calibration of the mechanistic model

    NARCIS (Netherlands)

    Schinkel, J.; Warren, N.; Fransman, W.; Tongeren, M. van; McDonnell, P.; Voogd, E.; Cherrie, J.W.; Tischer, M.; Kromhout, H.; Tielemans, E.

    2011-01-01

    The mechanistic model of the Advanced Reach Tool (ART) provides a relative ranking of exposure levels from different scenarios. The objectives of the calibration described in this paper are threefold: to study whether the mechanistic model scores are accurately ranked in relation to exposure

  15. Molecular Modeling: A Powerful Tool for Drug Design and Molecular ...

    Indian Academy of Sciences (India)

    Molecular modeling has become a valuable and essential tool to medicinal chemists in the drug design process. Molecular modeling describes the generation, manipula- tion or representation of three-dimensional structures of molecules and associated physico-chemical properties. It involves a range of computerized ...

  16. Replacing ambulatory surgical follow-up visits with mobile app home monitoring: modeling cost-effective scenarios.

    Science.gov (United States)

    Armstrong, Kathleen A; Semple, John L; Coyte, Peter C

    2014-09-22

    Women's College Hospital (WCH) offers specialized surgical procedures, including ambulatory breast reconstruction in post-mastectomy breast cancer patients. Most patients receiving ambulatory surgery have low rates of postoperative events necessitating clinic visits. Increasingly, mobile monitoring and follow-up care is used to overcome the distance patients must travel to receive specialized care at a reduced cost to society. WCH has completed a feasibility study using a mobile app (QoC Health Inc, Toronto) that suggests high patient satisfaction and adequate detection of postoperative complications. The proposed cost-effectiveness study models the replacement of conventional, in-person postoperative follow-up care with mobile app follow-up care following ambulatory breast reconstruction in post-mastectomy breast cancer patients. This is a societal perspective cost-effectiveness analysis, wherein all costs are assessed irrespective of the payer. The patient/caregiver, health care system, and externally borne costs are calculated within the first postoperative month based on cost information provided by WCH and QoC Health Inc. The effectiveness of telemedicine and conventional follow-up care is measured as successful surgical outcomes at 30-days postoperative, and is modeled based on previous clinical trials containing similar patient populations and surgical risks. This costing assumes that 1000 patients are enrolled in bring-your-own-device (BYOD) mobile app follow-up per year and that 1.64 in-person follow-ups are attended in the conventional arm within the first month postoperatively. The total cost difference between mobile app and in-person follow-up care is $245 CAD ($223 USD based on the current exchange rate), with in-person follow-up being more expensive ($381 CAD) than mobile app follow-up care ($136 CAD). This takes into account the total of health care system, patient, and external borne costs. If we examine health care system costs alone, in

  17. Business intelligence tools for radiology: creating a prototype model using open-source tools.

    Science.gov (United States)

    Prevedello, Luciano M; Andriole, Katherine P; Hanson, Richard; Kelly, Pauline; Khorasani, Ramin

    2010-04-01

    Digital radiology departments could benefit from the ability to integrate and visualize data (e.g. information reflecting complex workflow states) from all of their imaging and information management systems in one composite presentation view. Leveraging data warehousing tools developed in the business world may be one way to achieve this capability. In total, the concept of managing the information available in this data repository is known as Business Intelligence or BI. This paper describes the concepts used in Business Intelligence, their importance to modern Radiology, and the steps used in the creation of a prototype model of a data warehouse for BI using open-source tools.

  18. Hypermedia as an experiential learning tool: a theoretical model

    OpenAIRE

    Jose Miguel Baptista Nunes; Susan P. Fowell

    1996-01-01

    The process of methodical design and development is of extreme importance in the production of educational software. However, this process will only be effective, if it is based on a theoretical model that explicitly defines what educational approach is being used and how specific features of the technology can best support it. This paper proposes a theoretical model of how hypermedia can be used as an experiential learning tool. The development of the model was based on a experiential learni...

  19. Steven Weinberg visits CERN

    CERN Multimedia

    2009-01-01

    Steven Weinberg visiting the ATLAS cavern accompanied by Peter JenniIt was no surprise that the CERN audience arrived early in the Globe of Science and Innovation for the colloquium on 7 July. Nobel laureate Steven Weinberg is one of the major contributors to the Standard Model of particle physics. He received the Nobel Prize for Physics in 1979 for his work on the unified theory of the electromagnetic and weak interactions, one of the essential pillars of the Standard Model. After lunch at CERN and a visit to ATLAS, Weinberg gave a colloquium on "The Quantum Theory of Fields: Effective or Fundamental" to a packed audience. In his talk, he looked at how the use of quantum field theory in particle physics has fluctuated in popularity since Paul Dirac first introduced the approach to describe the interaction of particles with electromagnetic fields in the late 1920s. In particular, he posed the question: Is quantum field theory fundamental or does it a...

  20. Modeling and Simulation Tools: From Systems Biology to Systems Medicine.

    Science.gov (United States)

    Olivier, Brett G; Swat, Maciej J; Moné, Martijn J

    2016-01-01

    Modeling is an integral component of modern biology. In this chapter we look into the role of the model, as it pertains to Systems Medicine, and the software that is required to instantiate and run it. We do this by comparing the development, implementation, and characteristics of tools that have been developed to work with two divergent methodologies: Systems Biology and Pharmacometrics. From the Systems Biology perspective we consider the concept of "Software as a Medical Device" and what this may imply for the migration of research-oriented, simulation software into the domain of human health.In our second perspective, we see how in practice hundreds of computational tools already accompany drug discovery and development at every stage of the process. Standardized exchange formats are required to streamline the model exchange between tools, which would minimize translation errors and reduce the required time. With the emergence, almost 15 years ago, of the SBML standard, a large part of the domain of interest is already covered and models can be shared and passed from software to software without recoding them. Until recently the last stage of the process, the pharmacometric analysis used in clinical studies carried out on subject populations, lacked such an exchange medium. We describe a new emerging exchange format in Pharmacometrics which covers the non-linear mixed effects models, the standard statistical model type used in this area. By interfacing these two formats the entire domain can be covered by complementary standards and subsequently the according tools.

  1. Static Stiffness Modeling of Parallel Kinematics Machine Tool Joints

    Directory of Open Access Journals (Sweden)

    O. K. Akmaev

    2015-09-01

    Full Text Available The possible variants of an original parallel kinematics machine-tool structure are explored in this article. A new Hooke's universal joint design based on needle roller bearings with the ability of a preload setting is proposed. The bearing stiffness modeling is carried out using a variety of methods. The elastic deformation modeling of a Hook’s joint and a spherical rolling joint have been developed to assess the possibility of using these joints in machine tools with parallel kinematics.

  2. Modeling with data tools and techniques for scientific computing

    CERN Document Server

    Klemens, Ben

    2009-01-01

    Modeling with Data fully explains how to execute computationally intensive analyses on very large data sets, showing readers how to determine the best methods for solving a variety of different problems, how to create and debug statistical models, and how to run an analysis and evaluate the results. Ben Klemens introduces a set of open and unlimited tools, and uses them to demonstrate data management, analysis, and simulation techniques essential for dealing with large data sets and computationally intensive procedures. He then demonstrates how to easily apply these tools to the many threads of statistical technique, including classical, Bayesian, maximum likelihood, and Monte Carlo methods

  3. Open source Modeling and optimization tools for Planning

    Energy Technology Data Exchange (ETDEWEB)

    Peles, S. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

    2017-02-10

    Open source modeling and optimization tools for planning The existing tools and software used for planning and analysis in California are either expensive, difficult to use, or not generally accessible to a large number of participants. These limitations restrict the availability of participants for larger scale energy and grid studies in the state. The proposed initiative would build upon federal and state investments in open source software, and create and improve open source tools for use in the state planning and analysis activities. Computational analysis and simulation frameworks in development at national labs and universities can be brought forward to complement existing tools. An open source platform would provide a path for novel techniques and strategies to be brought into the larger community and reviewed by a broad set of stakeholders.

  4. Analytical Modelling Of Milling For Tool Design And Selection

    Science.gov (United States)

    Fontaine, M.; Devillez, A.; Dudzinski, D.

    2007-05-01

    This paper presents an efficient analytical model which allows to simulate a large panel of milling operations. A geometrical description of common end mills and of their engagement in the workpiece material is proposed. The internal radius of the rounded part of the tool envelope is used to define the considered type of mill. The cutting edge position is described for a constant lead helix and for a constant local helix angle. A thermomechanical approach of oblique cutting is applied to predict forces acting on the tool and these results are compared with experimental data obtained from milling tests on a 42CrMo4 steel for three classical types of mills. The influence of some tool's geometrical parameters on predicted cutting forces is presented in order to propose optimisation criteria for design and selection of cutting tools.

  5. Analytical Modelling Of Milling For Tool Design And Selection

    International Nuclear Information System (INIS)

    Fontaine, M.; Devillez, A.; Dudzinski, D.

    2007-01-01

    This paper presents an efficient analytical model which allows to simulate a large panel of milling operations. A geometrical description of common end mills and of their engagement in the workpiece material is proposed. The internal radius of the rounded part of the tool envelope is used to define the considered type of mill. The cutting edge position is described for a constant lead helix and for a constant local helix angle. A thermomechanical approach of oblique cutting is applied to predict forces acting on the tool and these results are compared with experimental data obtained from milling tests on a 42CrMo4 steel for three classical types of mills. The influence of some tool's geometrical parameters on predicted cutting forces is presented in order to propose optimisation criteria for design and selection of cutting tools

  6. Development Life Cycle and Tools for XML Content Models

    Energy Technology Data Exchange (ETDEWEB)

    Kulvatunyou, Boonserm [ORNL; Morris, Katherine [National Institute of Standards and Technology (NIST); Buhwan, Jeong [POSTECH University, South Korea; Goyal, Puja [National Institute of Standards and Technology (NIST)

    2004-11-01

    Many integration projects today rely on shared semantic models based on standards represented using Extensible Mark up Language (XML) technologies. Shared semantic models typically evolve and require maintenance. In addition, to promote interoperability and reduce integration costs, the shared semantics should be reused as much as possible. Semantic components must be consistent and valid in terms of agreed upon standards and guidelines. In this paper, we describe an activity model for creation, use, and maintenance of a shared semantic model that is coherent and supports efficient enterprise integration. We then use this activity model to frame our research and the development of tools to support those activities. We provide overviews of these tools primarily in the context of the W3C XML Schema. At the present, we focus our work on the W3C XML Schema as the representation of choice, due to its extensive adoption by industry.

  7. Designing tools for oil exploration using nuclear modeling

    Science.gov (United States)

    Mauborgne, Marie-Laure; Allioli, Françoise; Manclossi, Mauro; Nicoletti, Luisa; Stoller, Chris; Evans, Mike

    2017-09-01

    When designing nuclear tools for oil exploration, one of the first steps is typically nuclear modeling for concept evaluation and initial characterization. Having an accurate model, including the availability of accurate cross sections, is essential to reduce or avoid time consuming and costly design iterations. During tool response characterization, modeling is benchmarked with experimental data and then used to complement and to expand the database to make it more detailed and inclusive of more measurement environments which are difficult or impossible to reproduce in the laboratory. We present comparisons of our modeling results obtained using the ENDF/B-VI and ENDF/B-VII cross section data bases, focusing on the response to a few elements found in the tool, borehole and subsurface formation. For neutron-induced inelastic and capture gamma ray spectroscopy, major obstacles may be caused by missing or inaccurate cross sections for essential materials. We show examples of the benchmarking of modeling results against experimental data obtained during tool characterization and discuss observed discrepancies.

  8. Designing tools for oil exploration using nuclear modeling

    Directory of Open Access Journals (Sweden)

    Mauborgne Marie-Laure

    2017-01-01

    Full Text Available When designing nuclear tools for oil exploration, one of the first steps is typically nuclear modeling for concept evaluation and initial characterization. Having an accurate model, including the availability of accurate cross sections, is essential to reduce or avoid time consuming and costly design iterations. During tool response characterization, modeling is benchmarked with experimental data and then used to complement and to expand the database to make it more detailed and inclusive of more measurement environments which are difficult or impossible to reproduce in the laboratory. We present comparisons of our modeling results obtained using the ENDF/B-VI and ENDF/B-VII cross section data bases, focusing on the response to a few elements found in the tool, borehole and subsurface formation. For neutron-induced inelastic and capture gamma ray spectroscopy, major obstacles may be caused by missing or inaccurate cross sections for essential materials. We show examples of the benchmarking of modeling results against experimental data obtained during tool characterization and discuss observed discrepancies.

  9. Metamodelling Approach and Software Tools for Physical Modelling and Simulation

    Directory of Open Access Journals (Sweden)

    Vitaliy Mezhuyev

    2015-02-01

    Full Text Available In computer science, metamodelling approach becomes more and more popular for the purpose of software systems development. In this paper, we discuss applicability of the metamodelling approach for development of software tools for physical modelling and simulation.To define a metamodel for physical modelling the analysis of physical models will be done. The result of such the analyses will show the invariant physical structures, we propose to use as the basic abstractions of the physical metamodel. It is a system of geometrical objects, allowing to build a spatial structure of physical models and to set a distribution of physical properties. For such geometry of distributed physical properties, the different mathematical methods can be applied. To prove the proposed metamodelling approach, we consider the developed prototypes of software tools.

  10. HMMEditor: a visual editing tool for profile hidden Markov model

    Directory of Open Access Journals (Sweden)

    Cheng Jianlin

    2008-03-01

    Full Text Available Abstract Background Profile Hidden Markov Model (HMM is a powerful statistical model to represent a family of DNA, RNA, and protein sequences. Profile HMM has been widely used in bioinformatics research such as sequence alignment, gene structure prediction, motif identification, protein structure prediction, and biological database search. However, few comprehensive, visual editing tools for profile HMM are publicly available. Results We develop a visual editor for profile Hidden Markov Models (HMMEditor. HMMEditor can visualize the profile HMM architecture, transition probabilities, and emission probabilities. Moreover, it provides functions to edit and save HMM and parameters. Furthermore, HMMEditor allows users to align a sequence against the profile HMM and to visualize the corresponding Viterbi path. Conclusion HMMEditor provides a set of unique functions to visualize and edit a profile HMM. It is a useful tool for biological sequence analysis and modeling. Both HMMEditor software and web service are freely available.

  11. Accessing Curriculum Through Technology Tools (ACTTT): A Model Development Project

    Science.gov (United States)

    Daytner, Katrina M.; Johanson, Joyce; Clark, Letha; Robinson, Linda

    2012-01-01

    Accessing Curriculum Through Technology Tools (ACTTT), a project funded by the U.S. Office of Special Education Programs (OSEP), developed and tested a model designed to allow children in early elementary school, including those "at risk" and with disabilities, to better access, participate in, and benefit from the general curriculum.…

  12. Combining modelling tools to evaluate a goose management scheme

    NARCIS (Netherlands)

    Baveco, Hans; Bergjord, Anne Kari; Bjerke, Jarle W.; Chudzińska, Magda E.; Pellissier, Loïc; Simonsen, Caroline E.; Madsen, Jesper; Tombre, Ingunn M.; Nolet, Bart A.

    2017-01-01

    Many goose species feed on agricultural land, and with growing goose numbers, conflicts with agriculture are increasing. One possible solution is to designate refuge areas where farmers are paid to leave geese undisturbed. Here, we present a generic modelling tool that can be used to designate the

  13. Combining modelling tools to evaluate a goose management scheme.

    NARCIS (Netherlands)

    Baveco, J.M.; Bergjord, A.K.; Bjerke, J.W.; Chudzińska, M.E.; Pellissier, L.; Simonsen, C.E.; Madsen, J.; Tombre, Ingunn M.; Nolet, B.A.

    2017-01-01

    Many goose species feed on agricultural land, and with growing goose numbers, conflicts with agriculture are increasing. One possible solution is to designate refuge areas where farmers are paid to leave geese undisturbed. Here, we present a generic modelling tool that can be used to designate the

  14. Integrated landscape/hydrologic modeling tool for semiarid watersheds

    Science.gov (United States)

    Mariano Hernandez; Scott N. Miller

    2000-01-01

    An integrated hydrologic modeling/watershed assessment tool is being developed to aid in determining the susceptibility of semiarid landscapes to natural and human-induced changes across a range of scales. Watershed processes are by definition spatially distributed and are highly variable through time, and this approach is designed to account for their spatial and...

  15. Molecular Modeling: A Powerful Tool for Drug Design and Molecular ...

    Indian Academy of Sciences (India)

    Home; Journals; Resonance – Journal of Science Education; Volume 9; Issue 5. Molecular Modeling: A Powerful Tool for Drug Design and Molecular Docking. Rama Rao Nadendla. General Article Volume 9 Issue 5 May 2004 pp 51-60. Fulltext. Click here to view fulltext PDF. Permanent link:

  16. Rapid State Space Modeling Tool for Rectangular Wing Aeroservoelastic Studies

    Science.gov (United States)

    Suh, Peter M.; Conyers, Howard Jason; Mavris, Dimitri N.

    2015-01-01

    This report introduces a modeling and simulation tool for aeroservoelastic analysis of rectangular wings with trailing-edge control surfaces. The inputs to the code are planform design parameters such as wing span, aspect ratio, and number of control surfaces. Using this information, the generalized forces are computed using the doublet-lattice method. Using Roger's approximation, a rational function approximation is computed. The output, computed in a few seconds, is a state space aeroservoelastic model which can be used for analysis and control design. The tool is fully parameterized with default information so there is little required interaction with the model developer. All parameters can be easily modified if desired. The focus of this report is on tool presentation, verification, and validation. These processes are carried out in stages throughout the report. The rational function approximation is verified against computed generalized forces for a plate model. A model composed of finite element plates is compared to a modal analysis from commercial software and an independently conducted experimental ground vibration test analysis. Aeroservoelastic analysis is the ultimate goal of this tool, therefore, the flutter speed and frequency for a clamped plate are computed using damping-versus-velocity and frequency-versus-velocity analysis. The computational results are compared to a previously published computational analysis and wind-tunnel results for the same structure. A case study of a generic wing model with a single control surface is presented. Verification of the state space model is presented in comparison to damping-versus-velocity and frequency-versus-velocity analysis, including the analysis of the model in response to a 1-cos gust.

  17. QUALITY SERVICES EVALUATION MODEL BASED ON DEDICATED SOFTWARE TOOL

    Directory of Open Access Journals (Sweden)

    ANDREEA CRISTINA IONICĂ

    2012-10-01

    Full Text Available In this paper we introduced a new model, called Service Quality (SQ, which combines QFD and SERVQUAL methods. This model takes from the SERVQUAL method the five dimensions of requirements and three of characteristics and from the QFD method the application methodology. The originality of the SQ model consists in computing a global index that reflects the customers’ requirements accomplishment level by the quality characteristics. In order to prove the viability of the SQ model, there was developed a software tool that was applied for the evaluation of a health care services provider.

  18. Greenhouse gases from wastewater treatment - A review of modelling tools.

    Science.gov (United States)

    Mannina, Giorgio; Ekama, George; Caniani, Donatella; Cosenza, Alida; Esposito, Giovanni; Gori, Riccardo; Garrido-Baserba, Manel; Rosso, Diego; Olsson, Gustaf

    2016-05-01

    Nitrous oxide, carbon dioxide and methane are greenhouse gases (GHG) emitted from wastewater treatment that contribute to its carbon footprint. As a result of the increasing awareness of GHG emissions from wastewater treatment plants (WWTPs), new modelling, design, and operational tools have been developed to address and reduce GHG emissions at the plant-wide scale and beyond. This paper reviews the state-of-the-art and the recently developed tools used to understand and manage GHG emissions from WWTPs, and discusses open problems and research gaps. The literature review reveals that knowledge on the processes related to N2O formation, especially due to autotrophic biomass, is still incomplete. The literature review shows also that a plant-wide modelling approach that includes GHG is the best option for the understanding how to reduce the carbon footprint of WWTPs. Indeed, several studies have confirmed that a wide vision of the WWPTs has to be considered in order to make them more sustainable as possible. Mechanistic dynamic models were demonstrated as the most comprehensive and reliable tools for GHG assessment. Very few plant-wide GHG modelling studies have been applied to real WWTPs due to the huge difficulties related to data availability and the model complexity. For further improvement in GHG plant-wide modelling and to favour its use at large real scale, knowledge of the mechanisms involved in GHG formation and release, and data acquisition must be enhanced. Copyright © 2016 Elsevier B.V. All rights reserved.

  19. Evaluating EML Modeling Tools for Insurance Purposes: A Case Study

    Directory of Open Access Journals (Sweden)

    Mikael Gustavsson

    2010-01-01

    Full Text Available As with any situation that involves economical risk refineries may share their risk with insurers. The decision process generally includes modelling to determine to which extent the process area can be damaged. On the extreme end of modelling the so-called Estimated Maximum Loss (EML scenarios are found. These scenarios predict the maximum loss a particular installation can sustain. Unfortunately no standard model for this exists. Thus the insurers reach different results due to applying different models and different assumptions. Therefore, a study has been conducted on a case in a Swedish refinery where several scenarios previously had been modelled by two different insurance brokers using two different softwares, ExTool and SLAM. This study reviews the concept of EML and analyses the used models to see which parameters are most uncertain. Also a third model, EFFECTS, was employed in an attempt to reach a conclusion with higher reliability.

  20. Scenario Evaluator for Electrical Resistivity survey pre-modeling tool

    Science.gov (United States)

    Terry, Neil; Day-Lewis, Frederick D.; Robinson, Judith L.; Slater, Lee D.; Halford, Keith J.; Binley, Andrew; Lane, John W.; Werkema, Dale D.

    2017-01-01

    Geophysical tools have much to offer users in environmental, water resource, and geotechnical fields; however, techniques such as electrical resistivity imaging (ERI) are often oversold and/or overinterpreted due to a lack of understanding of the limitations of the techniques, such as the appropriate depth intervals or resolution of the methods. The relationship between ERI data and resistivity is nonlinear; therefore, these limitations depend on site conditions and survey design and are best assessed through forward and inverse modeling exercises prior to field investigations. In this approach, proposed field surveys are first numerically simulated given the expected electrical properties of the site, and the resulting hypothetical data are then analyzed using inverse models. Performing ERI forward/inverse modeling, however, requires substantial expertise and can take many hours to implement. We present a new spreadsheet-based tool, the Scenario Evaluator for Electrical Resistivity (SEER), which features a graphical user interface that allows users to manipulate a resistivity model and instantly view how that model would likely be interpreted by an ERI survey. The SEER tool is intended for use by those who wish to determine the value of including ERI to achieve project goals, and is designed to have broad utility in industry, teaching, and research.

  1. A communication tool to improve the patient journey modeling process.

    Science.gov (United States)

    Curry, Joanne; McGregor, Carolyn; Tracy, Sally

    2006-01-01

    Quality improvement is high on the agenda of Health Care Organisations (HCO) worldwide. Patient journey modeling is a relatively recent innovation in healthcare quality improvement that models the patient's movement through the HCO by viewing it from a patient centric perspective. Critical to the success of the redesigning care process is the involvement of all stakeholders and their commitment to actively participate in the process. Tools which promote this type of communication are a critical enabler that can significantly affect the overall process redesign outcomes. Such a tool must also be able to incorporate additional factors such as relevant policies and procedures, staff roles, system usage and measurements such as process time and cost. This paper presents a graphically based communication tool that can be used as part of the patient journey modeling process to promote stakeholder involvement, commitment and ownership as well highlighting the relationship of other relevant variables that contribute to the patient's journey. Examples of how the tool has been used and the framework employed are demonstrated via a midwife-led primary care case study. A key contribution of this research is the provision of a graphical communication framework that is simple to use, is easily understood by a diverse range of stakeholders and enables ready recognition of patient journey issues. Results include strong stakeholder buy-in and significant enhancement to the overall design of the future patient journey. Initial results indicate that the use of such a communication tool can improve the patient journey modeling process and the overall quality improvement outcomes.

  2. Models and Modelling Tools for Chemical Product and Process Design

    DEFF Research Database (Denmark)

    Gani, Rafiqul

    2016-01-01

    -process design. Illustrative examples highlighting the need for efficient model-based systems will be presented, where the need for predictive models for innovative chemical product-process design will be highlighted. The examples will cover aspects of chemical product-process design where the idea of the grand......The design, development and reliability of a chemical product and the process to manufacture it, need to be consistent with the end-use characteristics of the desired product. One of the common ways to match the desired product-process characteristics is through trial and error based experiments......, which can be expensive and time consuming. An alternative approach is the use of a systematic model-based framework according to an established work-flow in product-process design, replacing some of the time consuming and/or repetitive experimental steps. The advantages of the use of a model...

  3. DsixTools: the standard model effective field theory toolkit

    Energy Technology Data Exchange (ETDEWEB)

    Celis, Alejandro [Ludwig-Maximilians-Universitaet Muenchen, Fakultaet fuer Physik, Arnold Sommerfeld Center for Theoretical Physics, Munich (Germany); Fuentes-Martin, Javier; Vicente, Avelino [Universitat de Valencia-CSIC, Instituto de Fisica Corpuscular, Valencia (Spain); Virto, Javier [University of Bern, Albert Einstein Center for Fundamental Physics, Institute for Theoretical Physics, Bern (Switzerland)

    2017-06-15

    We present DsixTools, a Mathematica package for the handling of the dimension-six standard model effective field theory. Among other features, DsixTools allows the user to perform the full one-loop renormalization group evolution of the Wilson coefficients in the Warsaw basis. This is achieved thanks to the SMEFTrunner module, which implements the full one-loop anomalous dimension matrix previously derived in the literature. In addition, DsixTools also contains modules devoted to the matching to the ΔB = ΔS = 1, 2 and ΔB = ΔC = 1 operators of the Weak Effective Theory at the electroweak scale, and their QCD and QED Renormalization group evolution below the electroweak scale. (orig.)

  4. Numerical Model Metrics Tools in Support of Navy Operations

    Science.gov (United States)

    Dykes, J. D.; Fanguy, P.

    2017-12-01

    Increasing demands of accurate ocean forecasts that are relevant to the Navy mission decision makers demand tools that quickly provide relevant numerical model metrics to the forecasters. Increasing modelling capabilities with ever-higher resolution domains including coupled and ensemble systems as well as the increasing volume of observations and other data sources to which to compare the model output requires more tools for the forecaster to enable doing more with less. These data can be appropriately handled in a geographic information system (GIS) fused together to provide useful information and analyses, and ultimately a better understanding how the pertinent model performs based on ground truth.. Oceanographic measurements like surface elevation, profiles of temperature and salinity, and wave height can all be incorporated into a set of layers correlated to geographic information such as bathymetry and topography. In addition, an automated system that runs concurrently with the models on high performance machines matches routinely available observations to modelled values to form a database of matchups with which statistics can be calculated and displayed, to facilitate validation of forecast state and derived variables. ArcMAP, developed by Environmental Systems Research Institute, is a GIS application used by the Naval Research Laboratory (NRL) and naval operational meteorological and oceanographic centers to analyse the environment in support of a range of Navy missions. For example, acoustic propagation in the ocean is described with a three-dimensional analysis of sound speed that depends on profiles of temperature, pressure and salinity predicted by the Navy Coastal Ocean Model. The data and model output must include geo-referencing information suitable for accurately placing the data within the ArcMAP framework. NRL has developed tools that facilitate merging these geophysical data and their analyses, including intercomparisons between model

  5. Model Fusion Tool - the Open Environmental Modelling Platform Concept

    Science.gov (United States)

    Kessler, H.; Giles, J. R.

    2010-12-01

    The vision of an Open Environmental Modelling Platform - seamlessly linking geoscience data, concepts and models to aid decision making in times of environmental change. Governments and their executive agencies across the world are facing increasing pressure to make decisions about the management of resources in light of population growth and environmental change. In the UK for example, groundwater is becoming a scarce resource for large parts of its most densely populated areas. At the same time river and groundwater flooding resulting from high rainfall events are increasing in scale and frequency and sea level rise is threatening the defences of coastal cities. There is also a need for affordable housing, improved transport infrastructure and waste disposal as well as sources of renewable energy and sustainable food production. These challenges can only be resolved if solutions are based on sound scientific evidence. Although we have knowledge and understanding of many individual processes in the natural sciences it is clear that a single science discipline is unable to answer the questions and their inter-relationships. Modern science increasingly employs computer models to simulate the natural, economic and human system. Management and planning requires scenario modelling, forecasts and ‘predictions’. Although the outputs are often impressive in terms of apparent accuracy and visualisation, they are inherently not suited to simulate the response to feedbacks from other models of the earth system, such as the impact of human actions. Geological Survey Organisations (GSO) are increasingly employing advances in Information Technology to visualise and improve their understanding of geological systems. Instead of 2 dimensional paper maps and reports many GSOs now produce 3 dimensional geological framework models and groundwater flow models as their standard output. Additionally the British Geological Survey have developed standard routines to link geological

  6. MODELING OF ANIMATED SIMULATIONS BY MAXIMA PROGRAM TOOLS

    Directory of Open Access Journals (Sweden)

    Nataliya O. Bugayets

    2015-06-01

    Full Text Available The article deals with the methodical features in training of computer simulation of systems and processes using animation. In the article the importance of visibility of educational material that combines sensory and thinking sides of cognition is noted. The concept of modeling and the process of building models has been revealed. Attention is paid to the development of skills that are essential for effective learning of animated simulation by visual aids. The graphical environment tools of the computer mathematics system Maxima for animated simulation are described. The examples of creation of models animated visual aids and their use for the development of research skills are presented.

  7. VISIT - Virtual visits to nuclear power plants

    International Nuclear Information System (INIS)

    Mollaret, Jean-Christophe

    2001-01-01

    For more than twenty years, EDFs Communication Division has conducted a policy of opening its generation sites to the general public. Around 300,000 people visit a nuclear power plant every year. However, for the security of persons and the safety of facilities, those parts of the plant situated in controlled areas are not accessible to visitors. For the sake of transparency, EDF has taken an interest in the technologies offered by virtual reality to show the general public what a nuclear power plant is really like, so as to initiate dialogue on nuclear energy, particularly with young people. Visit has been developed with virtual reality technologies. It serves to show the invisible (voyage to the core of fission), the inaccessible and to immerse the visitors in environments which are usually closed to the general public (discovery of the controlled area of a nuclear power plant). Visit is used in Public Information Centres which receive visitors to EDF power plants and during international exhibitions and conferences. Visit allows a virtual tour of the following controlled areas: locker room hot area/cold area, a necessary passage before entering the controlled areas; reactor building; fuel building; waste auxiliary building (liquid, solid and gaseous effluents). It also includes a tour of the rooms or equipment usually accessible to the general public: control room, turbine hall, transformer, air cooling tower

  8. Transfer Entropy as a Tool for Hydrodynamic Model Validation

    Directory of Open Access Journals (Sweden)

    Alicia Sendrowski

    2018-01-01

    Full Text Available The validation of numerical models is an important component of modeling to ensure reliability of model outputs under prescribed conditions. In river deltas, robust validation of models is paramount given that models are used to forecast land change and to track water, solid, and solute transport through the deltaic network. We propose using transfer entropy (TE to validate model results. TE quantifies the information transferred between variables in terms of strength, timescale, and direction. Using water level data collected in the distributary channels and inter-channel islands of Wax Lake Delta, Louisiana, USA, along with modeled water level data generated for the same locations using Delft3D, we assess how well couplings between external drivers (river discharge, tides, wind and modeled water levels reproduce the observed data couplings. We perform this operation through time using ten-day windows. Modeled and observed couplings compare well; their differences reflect the spatial parameterization of wind and roughness in the model, which prevents the model from capturing high frequency fluctuations of water level. The model captures couplings better in channels than on islands, suggesting that mechanisms of channel-island connectivity are not fully represented in the model. Overall, TE serves as an additional validation tool to quantify the couplings of the system of interest at multiple spatial and temporal scales.

  9. Neural Networks for Hydrological Modeling Tool for Operational Purposes

    Science.gov (United States)

    Bhatt, Divya; Jain, Ashu

    2010-05-01

    Hydrological models are useful in many water resources applications such as flood control, irrigation and drainage, hydro power generation, water supply, erosion and sediment control, etc. Estimates of runoff are needed in many water resources planning, design development, operation and maintenance activities. Runoff is generally computed using rainfall-runoff models. Computer based hydrologic models have become popular for obtaining hydrological forecasts and for managing water systems. Rainfall-runoff library (RRL) is computer software developed by Cooperative Research Centre for Catchment Hydrology (CRCCH), Australia consisting of five different conceptual rainfall-runoff models, and has been in operation in many water resources applications in Australia. Recently, soft artificial intelligence tools such as Artificial Neural Networks (ANNs) have become popular for research purposes but have not been adopted in operational hydrological forecasts. There is a strong need to develop ANN models based on real catchment data and compare them with the conceptual models actually in use in real catchments. In this paper, the results from an investigation on the use of RRL and ANNs are presented. Out of the five conceptual models in the RRL toolkit, SimHyd model has been used. Genetic Algorithm has been used as an optimizer in the RRL to calibrate the SimHyd model. Trial and error procedures were employed to arrive at the best values of various parameters involved in the GA optimizer to develop the SimHyd model. The results obtained from the best configuration of the SimHyd model are presented here. Feed-forward neural network model structure trained by back-propagation training algorithm has been adopted here to develop the ANN models. The daily rainfall and runoff data derived from Bird Creek Basin, Oklahoma, USA have been employed to develop all the models included here. A wide range of error statistics have been used to evaluate the performance of all the models

  10. Theoretical Modeling of Rock Breakage by Hydraulic and Mechanical Tool

    Directory of Open Access Journals (Sweden)

    Hongxiang Jiang

    2014-01-01

    Full Text Available Rock breakage by coupled mechanical and hydraulic action has been developed over the past several decades, but theoretical study on rock fragmentation by mechanical tool with water pressure assistance was still lacking. The theoretical model of rock breakage by mechanical tool was developed based on the rock fracture mechanics and the solution of Boussinesq’s problem, and it could explain the process of rock fragmentation as well as predicating the peak reacting force. The theoretical model of rock breakage by coupled mechanical and hydraulic action was developed according to the superposition principle of intensity factors at the crack tip, and the reacting force of mechanical tool assisted by hydraulic action could be reduced obviously if the crack with a critical length could be produced by mechanical or hydraulic impact. The experimental results indicated that the peak reacting force could be reduced about 15% assisted by medium water pressure, and quick reduction of reacting force after peak value decreased the specific energy consumption of rock fragmentation by mechanical tool. The crack formation by mechanical or hydraulic impact was the prerequisite to improvement of the ability of combined breakage.

  11. Using the IEA ETSAP modelling tools for Denmark

    Energy Technology Data Exchange (ETDEWEB)

    Grohnheit, Poul Erik

    2008-12-15

    An important part of the cooperation within the IEA (International Energy Agency) is organised through national contributions to 'Implementation Agreements' on energy technology and energy analyses. One of them is ETSAP (Energy Technology Systems Analysis Programme), started in 1976. Denmark has signed the agreement and contributed to some early annexes. This project is motivated by an invitation to participate in ETSAP Annex X, 'Global Energy Systems and Common Analyses: Climate friendly, Secure and Productive Energy Systems' for the period 2005 to 2007. The main activity is semi-annual workshops focusing on presentations of model analyses and use of the ETSAP tools (the MARKAL/TIMES family of models). The project was also planned to benefit from the EU project 'NEEDS - New Energy Externalities Developments for Sustainability'. ETSAP is contributing to a part of NEEDS that develops the TIMES model for 29 European countries with assessment of future technologies. An additional project 'Monitoring and Evaluation of the RES directives: implementation in EU27 and policy recommendations for 2020' (RES2020) under Intelligent Energy Europe was added, as well as the Danish 'Centre for Energy, Environment and Health (CEEH), starting from January 2007. This report summarises the activities under ETSAP Annex X and related project, emphasising the development of modelling tools that will be useful for modelling the Danish energy system. It is also a status report for the development of a model for Denmark, focusing on the tools and features that allow comparison with other countries and, particularly, to evaluate assumptions and results in international models covering Denmark. (au)

  12. Designing a training tool for imaging mental models

    Science.gov (United States)

    Dede, Christopher J.; Jayaram, Geetha

    1990-01-01

    The training process can be conceptualized as the student acquiring an evolutionary sequence of classification-problem solving mental models. For example a physician learns (1) classification systems for patient symptoms, diagnostic procedures, diseases, and therapeutic interventions and (2) interrelationships among these classifications (e.g., how to use diagnostic procedures to collect data about a patient's symptoms in order to identify the disease so that therapeutic measures can be taken. This project developed functional specifications for a computer-based tool, Mental Link, that allows the evaluative imaging of such mental models. The fundamental design approach underlying this representational medium is traversal of virtual cognition space. Typically intangible cognitive entities and links among them are visible as a three-dimensional web that represents a knowledge structure. The tool has a high degree of flexibility and customizability to allow extension to other types of uses, such a front-end to an intelligent tutoring system, knowledge base, hypermedia system, or semantic network.

  13. ADAS tools for collisional–radiative modelling of molecules

    Energy Technology Data Exchange (ETDEWEB)

    Guzmán, F., E-mail: francisco.guzman@cea.fr [Department of Physics, University of Strathclyde, Glasgow G4 0NG (United Kingdom); CEA, IRFM, Saint-Paul-lez-Durance 13108 (France); O’Mullane, M.; Summers, H.P. [Department of Physics, University of Strathclyde, Glasgow G4 0NG (United Kingdom)

    2013-07-15

    New theoretical and computational tools for molecular collisional–radiative models are presented. An application to the hydrogen molecule system has been made. At the same time, a structured database has been created where fundamental cross sections and rates for individual processes as well as derived data (effective coefficients) are stored. Relative populations for the vibrational states of the ground electronic state of H{sub 2} are presented and this vibronic resolution model is compared electronic resolution where vibronic transitions are summed over vibrational sub-states. Some new reaction rates are calculated by means of the impact parameter approximation. Computational tools have been developed to automate process and simplify the data assembly. Effective (collisional–radiative) rate coefficients versus temperature and density are presented.

  14. ADAS tools for collisional-radiative modelling of molecules

    Science.gov (United States)

    Guzmán, F.; O'Mullane, M.; Summers, H. P.

    2013-07-01

    New theoretical and computational tools for molecular collisional-radiative models are presented. An application to the hydrogen molecule system has been made. At the same time, a structured database has been created where fundamental cross sections and rates for individual processes as well as derived data (effective coefficients) are stored. Relative populations for the vibrational states of the ground electronic state of H2 are presented and this vibronic resolution model is compared electronic resolution where vibronic transitions are summed over vibrational sub-states. Some new reaction rates are calculated by means of the impact parameter approximation. Computational tools have been developed to automate process and simplify the data assembly. Effective (collisional-radiative) rate coefficients versus temperature and density are presented.

  15. Introduction to genetic algorithms as a modeling tool

    International Nuclear Information System (INIS)

    Wildberger, A.M.; Hickok, K.A.

    1990-01-01

    Genetic algorithms are search and classification techniques modeled on natural adaptive systems. This is an introduction to their use as a modeling tool with emphasis on prospects for their application in the power industry. It is intended to provide enough background information for its audience to begin to follow technical developments in genetic algorithms and to recognize those which might impact on electric power engineering. Beginning with a discussion of genetic algorithms and their origin as a model of biological adaptation, their advantages and disadvantages are described in comparison with other modeling tools such as simulation and neural networks in order to provide guidance in selecting appropriate applications. In particular, their use is described for improving expert systems from actual data and they are suggested as an aid in building mathematical models. Using the Thermal Performance Advisor as an example, it is suggested how genetic algorithms might be used to make a conventional expert system and mathematical model of a power plant adapt automatically to changes in the plant's characteristics

  16. Surviving the present: Modeling tools for organizational change

    Energy Technology Data Exchange (ETDEWEB)

    Pangaro, P. (Pangaro Inc., Washington, DC (United States))

    1992-01-01

    The nuclear industry, like the rest of modern American business, is beset by a confluence of economic, technological, competitive, regulatory, and political pressures. For better or worse, business schools and management consultants have leapt to the rescue, offering the most modern conveniences that they can purvey. Recent advances in the study of organizations have led to new tools for their analysis, revision, and repair. There are two complementary tools that do not impose values or injunctions in themselves. One, called the organization modeler, captures the hierarchy of purposes that organizations and their subparts carry out. Any deficiency or pathology is quickly illuminated, and requirements for repair are made clear. The second, called THOUGHTSTICKER, is used to capture the semantic content of the conversations that occur across the interactions of parts of an organization. The distinctions and vocabulary in the language of an organization, and the relations within that domain, are elicited from the participants so that all three are available for debate and refinement. The product of the applications of these modeling tools is not the resulting models but rather the enhancement of the organization as a consequence of the process of constructing them.

  17. Surviving the present: Modeling tools for organizational change

    International Nuclear Information System (INIS)

    Pangaro, P.

    1992-01-01

    The nuclear industry, like the rest of modern American business, is beset by a confluence of economic, technological, competitive, regulatory, and political pressures. For better or worse, business schools and management consultants have leapt to the rescue, offering the most modern conveniences that they can purvey. Recent advances in the study of organizations have led to new tools for their analysis, revision, and repair. There are two complementary tools that do not impose values or injunctions in themselves. One, called the organization modeler, captures the hierarchy of purposes that organizations and their subparts carry out. Any deficiency or pathology is quickly illuminated, and requirements for repair are made clear. The second, called THOUGHTSTICKER, is used to capture the semantic content of the conversations that occur across the interactions of parts of an organization. The distinctions and vocabulary in the language of an organization, and the relations within that domain, are elicited from the participants so that all three are available for debate and refinement. The product of the applications of these modeling tools is not the resulting models but rather the enhancement of the organization as a consequence of the process of constructing them

  18. Modelling stillbirth mortality reduction with the Lives Saved Tool

    Directory of Open Access Journals (Sweden)

    Hannah Blencowe

    2017-11-01

    Full Text Available Abstract Background The worldwide burden of stillbirths is large, with an estimated 2.6 million babies stillborn in 2015 including 1.3 million dying during labour. The Every Newborn Action Plan set a stillbirth target of ≤12 per 1000 in all countries by 2030. Planning tools will be essential as countries set policy and plan investment to scale up interventions to meet this target. This paper summarises the approach taken for modelling the impact of scaling-up health interventions on stillbirths in the Lives Saved tool (LiST, and potential future refinements. Methods The specific application to stillbirths of the general method for modelling the impact of interventions in LiST is described. The evidence for the effectiveness of potential interventions to reduce stillbirths are reviewed and the assumptions of the affected fraction of stillbirths who could potentially benefit from these interventions are presented. The current assumptions and their effects on stillbirth reduction are described and potential future improvements discussed. Results High quality evidence are not available for all parameters in the LiST stillbirth model. Cause-specific mortality data is not available for stillbirths, therefore stillbirths are modelled in LiST using an attributable fraction approach by timing of stillbirths (antepartum/ intrapartum. Of 35 potential interventions to reduce stillbirths identified, eight interventions are currently modelled in LiST. These include childbirth care, induction for prolonged pregnancy, multiple micronutrient and balanced energy supplementation, malaria prevention and detection and management of hypertensive disorders of pregnancy, diabetes and syphilis. For three of the interventions, childbirth care, detection and management of hypertensive disorders of pregnancy, and diabetes the estimate of effectiveness is based on expert opinion through a Delphi process. Only for malaria is coverage information available, with coverage

  19. Visit of the Austrian Ambassador

    CERN Multimedia

    Patrice Loïez

    2002-01-01

    The Austrian Ambassador Wolfgang Petritsch (light raincoat) learns about superconducting magnets at the LHC magnet test facility in building SM18 during a visit to CERN. The blue pipe-like structure in the left background is String 2: the 120-m long full-scale model of an LHC cell, which is used to test LHC systems.

  20. Berliner Philarmoniker ATLAS visit

    CERN Multimedia

    ATLAS Collaboration

    2017-01-01

    The Berliner Philarmoniker in on tour through Europe. They stopped on June 27th in Geneva, for a concert at the Victoria Hall. An ATLAS visit was organised the morning after, lead by the ATLAS spokesperson Karl Jakobs (welcome and overview talk) and two ATLAS guides (AVC visit and 3D movie).

  1. An ensemble model of QSAR tools for regulatory risk assessment.

    Science.gov (United States)

    Pradeep, Prachi; Povinelli, Richard J; White, Shannon; Merrill, Stephen J

    2016-01-01

    Quantitative structure activity relationships (QSARs) are theoretical models that relate a quantitative measure of chemical structure to a physical property or a biological effect. QSAR predictions can be used for chemical risk assessment for protection of human and environmental health, which makes them interesting to regulators, especially in the absence of experimental data. For compatibility with regulatory use, QSAR models should be transparent, reproducible and optimized to minimize the number of false negatives. In silico QSAR tools are gaining wide acceptance as a faster alternative to otherwise time-consuming clinical and animal testing methods. However, different QSAR tools often make conflicting predictions for a given chemical and may also vary in their predictive performance across different chemical datasets. In a regulatory context, conflicting predictions raise interpretation, validation and adequacy concerns. To address these concerns, ensemble learning techniques in the machine learning paradigm can be used to integrate predictions from multiple tools. By leveraging various underlying QSAR algorithms and training datasets, the resulting consensus prediction should yield better overall predictive ability. We present a novel ensemble QSAR model using Bayesian classification. The model allows for varying a cut-off parameter that allows for a selection in the desirable trade-off between model sensitivity and specificity. The predictive performance of the ensemble model is compared with four in silico tools (Toxtree, Lazar, OECD Toolbox, and Danish QSAR) to predict carcinogenicity for a dataset of air toxins (332 chemicals) and a subset of the gold carcinogenic potency database (480 chemicals). Leave-one-out cross validation results show that the ensemble model achieves the best trade-off between sensitivity and specificity (accuracy: 83.8 % and 80.4 %, and balanced accuracy: 80.6 % and 80.8 %) and highest inter-rater agreement [kappa ( κ ): 0

  2. Information Theoretic Tools for Parameter Fitting in Coarse Grained Models

    KAUST Repository

    Kalligiannaki, Evangelia

    2015-01-07

    We study the application of information theoretic tools for model reduction in the case of systems driven by stochastic dynamics out of equilibrium. The model/dimension reduction is considered by proposing parametrized coarse grained dynamics and finding the optimal parameter set for which the relative entropy rate with respect to the atomistic dynamics is minimized. The minimization problem leads to a generalization of the force matching methods to non equilibrium systems. A multiplicative noise example reveals the importance of the diffusion coefficient in the optimization problem.

  3. Programming Models and Tools for Intelligent Embedded Systems

    DEFF Research Database (Denmark)

    Sørensen, Peter Verner Bojsen

    Design automation and analysis tools targeting embedded platforms, developed using a component-based design approach, must be able to reason about the capabilities of the platforms. In the general case where nothing is assumed about the components comprising a platform or the platform topology......, analysis must be employed to determine its capabilities. This kind of analysis is the subject of this dissertation. The main contribution of this work is the Service Relation Model used to describe and analyze the flow of service in models of platforms and systems composed of re-usable components...

  4. Evaluation of air pollution modelling tools as environmental engineering courseware.

    Science.gov (United States)

    Souto González, J A; Bello Bugallo, P M; Casares Long, J J

    2004-01-01

    The study of phenomena related to the dispersion of pollutants usually takes advantage of the use of mathematical models based on the description of the different processes involved. This educational approach is especially important in air pollution dispersion, when the processes follow a non-linear behaviour so it is difficult to understand the relationships between inputs and outputs, and in a 3D context where it becomes hard to analyze alphanumeric results. In this work, three different software tools, as computer solvers for typical air pollution dispersion phenomena, are presented. Each software tool developed to be implemented on PCs, follows approaches that represent three generations of programming languages (Fortran 77, VisualBasic and Java), applied over three different environments: MS-DOS, MS-Windows and the world wide web. The software tools were tested by students of environmental engineering (undergraduate) and chemical engineering (postgraduate), in order to evaluate the ability of these software tools to improve both theoretical and practical knowledge of the air pollution dispersion problem, and the impact of the different environment in the learning process in terms of content, ease of use and visualization of results.

  5. Visit of the Italian President

    CERN Multimedia

    2003-01-01

    "CERN stands as the demonstration of the great results that science can achieve [...] when it succeeds in getting all the main players in international scientific cooperation involved," stated the President of the Italian Republic, Carlo Azeglio Ciampi, in front of an overcrowded and enthusiastic Main Auditorium. The President visited CERN on 2nd December, and met the CERN directorate as well as the Italians at CERN. With about 1500 Italians working at CERN, which is one sixth of the total personnel, they are the second largest nationality at CERN. The Italian President visited the CMS assembly hall and the LHC superconducting magnet test hall before meeting the CERN community, in particular Italian personnel, in the main auditorium. There he emphasised the role of CERN as a transnational model for research which not only achieved great results in science but is also a powerful vehicle for progress in other fields. President Ciampi visits the LHC superconducting test hall together with Luciano Maiani and Lu...

  6. Logic flowgraph methodology - A tool for modeling embedded systems

    Science.gov (United States)

    Muthukumar, C. T.; Guarro, S. B.; Apostolakis, G. E.

    1991-01-01

    The logic flowgraph methodology (LFM), a method for modeling hardware in terms of its process parameters, has been extended to form an analytical tool for the analysis of integrated (hardware/software) embedded systems. In the software part of a given embedded system model, timing and the control flow among different software components are modeled by augmenting LFM with modified Petrinet structures. The objective of the use of such an augmented LFM model is to uncover possible errors and the potential for unanticipated software/hardware interactions. This is done by backtracking through the augmented LFM mode according to established procedures which allow the semiautomated construction of fault trees for any chosen state of the embedded system (top event). These fault trees, in turn, produce the possible combinations of lower-level states (events) that may lead to the top event.

  7. Computational Modeling, Formal Analysis, and Tools for Systems Biology.

    Directory of Open Access Journals (Sweden)

    Ezio Bartocci

    2016-01-01

    Full Text Available As the amount of biological data in the public domain grows, so does the range of modeling and analysis techniques employed in systems biology. In recent years, a number of theoretical computer science developments have enabled modeling methodology to keep pace. The growing interest in systems biology in executable models and their analysis has necessitated the borrowing of terms and methods from computer science, such as formal analysis, model checking, static analysis, and runtime verification. Here, we discuss the most important and exciting computational methods and tools currently available to systems biologists. We believe that a deeper understanding of the concepts and theory highlighted in this review will produce better software practice, improved investigation of complex biological processes, and even new ideas and better feedback into computer science.

  8. Advances in Intelligent Modelling and Simulation Simulation Tools and Applications

    CERN Document Server

    Oplatková, Zuzana; Carvalho, Marco; Kisiel-Dorohinicki, Marek

    2012-01-01

    The human capacity to abstract complex systems and phenomena into simplified models has played a critical role in the rapid evolution of our modern industrial processes and scientific research. As a science and an art, Modelling and Simulation have been one of the core enablers of this remarkable human trace, and have become a topic of great importance for researchers and practitioners. This book was created to compile some of the most recent concepts, advances, challenges and ideas associated with Intelligent Modelling and Simulation frameworks, tools and applications. The first chapter discusses the important aspects of a human interaction and the correct interpretation of results during simulations. The second chapter gets to the heart of the analysis of entrepreneurship by means of agent-based modelling and simulations. The following three chapters bring together the central theme of simulation frameworks, first describing an agent-based simulation framework, then a simulator for electrical machines, and...

  9. Right approach to 3D modeling using CAD tools

    Science.gov (United States)

    Baddam, Mounica Reddy

    The thesis provides a step-by-step methodology to enable an instructor dealing with CAD tools to optimally guide his/her students through an understandable 3D modeling approach which will not only enhance their knowledge about the tool's usage but also enable them to achieve their desired result in comparatively lesser time. In the known practical field, there is particularly very little information available to apply CAD skills to formal beginners' training sessions. Additionally, advent of new software in 3D domain cumulates updating into a more difficult task. Keeping up to the industry's advanced requirements emphasizes the importance of more skilled hands in the field of CAD development, rather than just prioritizing manufacturing in terms of complex software features. The thesis analyses different 3D modeling approaches specified to the varieties of CAD tools currently available in the market. Utilizing performance-time databases, learning curves have been generated to measure their performance time, feature count etc. Based on the results, improvement parameters have also been provided for (Asperl, 2005).

  10. The EDF/SEPTEN crisis team calculation tools and models

    International Nuclear Information System (INIS)

    De Magondeaux, B.; Grimaldi, X.

    1993-01-01

    Electricite de France (EDF) has developed a set of simplified tools and models called TOUTEC and CRISALIDE which are devoted to be used by the French utility National Crisis Team in order to perform the task of diagnosis and prognosis during an emergency situation. As a severe accident could have important radiological consequences, this method is focused on the diagnosis of the state of the safety barriers and on the prognosis of their behaviour. These tools allow the crisis team to deliver public authorities with information on the radiological risk and to provide advices to manage the accident on the damaged unit. At a first level, TOUTEC is intended to complement the hand-book with simplified calculation models and predefined relationships. It can avoid tedious calculation during stress conditions. The main items are the calculation of the primary circuit breach size and the evaluation of hydrogen over pressurization. The set of models called CRISALIDE is devoted to evaluate the following critical parameters: delay before core uncover, which would signify more severe consequences if it occurs, containment pressure behaviour and finally source term. With these models, crisis team comes able to take into account combinations of boundary conditions according to safety and auxiliary systems availability

  11. American high school students visit CERN

    CERN Multimedia

    Maximilien Brice

    2003-01-01

    Fifteen final-year students from Columbus High School, Mississippi, USA visited CERN recently with their physics teacher Ken Wester (left at rear). Mr Wester organized the trip after his participation in the 2002 edition of CERN's High School Teachers programme. The students visited the CMS construction site and the AD antimatter factory during their two-day visit. They are pictured here with Michel Della Negra, CMS spokesman (kneeling), in front of the model of the CMS detector in building 40.

  12. MODERN TOOLS FOR MODELING ACTIVITY IT-COMPANIES

    Directory of Open Access Journals (Sweden)

    Марина Петрівна ЧАЙКОВСЬКА

    2015-05-01

    Full Text Available Increasing competition in the market of the web-based applications increases the importance of the quality of services and optimization of processes of interaction with customers. The purpose of the article is to develop recommendations for improving the business processes of IT enterprises of web application segment based on technological tools for business modeling, shaping requirements for the development of an information system for customer interaction; analysis of the effective means of implementation and evaluation of the economic effects of the introduction. A scheme of the business process development and launch of the website was built, based on the analysis of business process models and “swim lane” models, requirements for IP customer relationship management for web studio were established. Market of software to create IP was analyzed, and the ones corresponding to the requirements were selected. IP system was developed and tested, implemented it in the company, an appraisal of the economic effect was conducted.

  13. Analysis of Sequence Diagram Layout in Advanced UML Modelling Tools

    Directory of Open Access Journals (Sweden)

    Ņikiforova Oksana

    2016-05-01

    Full Text Available System modelling using Unified Modelling Language (UML is the task that should be solved for software development. The more complex software becomes the higher requirements are stated to demonstrate the system to be developed, especially in its dynamic aspect, which in UML is offered by a sequence diagram. To solve this task, the main attention is devoted to the graphical presentation of the system, where diagram layout plays the central role in information perception. The UML sequence diagram due to its specific structure is selected for a deeper analysis on the elements’ layout. The authors research represents the abilities of modern UML modelling tools to offer automatic layout of the UML sequence diagram and analyse them according to criteria required for the diagram perception.

  14. A new model for the sonic borehole logging tool

    International Nuclear Information System (INIS)

    Oelgaard, P.L.

    1990-12-01

    A number of models for the sonic borehole logging tool has earlier been developed. These models which are mainly based on experimental data, are discussed and compared. On this background the new model is developed. It is based on the assumptions that the pores of low porosity formations and the grains of high porosity media may be approximated by cylinders, and that the dimension of these cylinders are given by distribution functions. From these assumptions the transit time Δt p of low porosity formations and Δt g of high porosity media are calculated by use of the Monte Carlo method. Combining the Δt p and Δt g values obtained by use of selected weighting functions seems to permit the determination of the transit time Δt for the full porosity range (0 ≤ φ ≤ 100%). (author)

  15. Dynamic wind turbine models in power system simulation tool

    DEFF Research Database (Denmark)

    Hansen, Anca D.; Iov, Florin; Sørensen, Poul

    This report presents a collection of models and control strategies developed and implemented in the power system simulation tool PowerFactory DIgSILENT for different wind turbine concepts. It is the second edition of Risø-R-1400(EN) and it gathers and describes a whole wind turbine model database...... speed doubly-fed induction generator wind turbine concept 3. Variable speed multi-pole permanent magnet synchronous generator wind turbine concept These wind turbine concept models can be used and even extended for the study of different aspects, e.g. the assessment of power quality, control strategies......, connection of the wind turbine at different types of grid and storage systems. Different control strategies have been developed and implemented for these wind turbine concepts, their performance in normal or fault operation being assessed and discussed by means of simulations. The described control...

  16. Mathematical modeling of physiological systems: an essential tool for discovery.

    Science.gov (United States)

    Glynn, Patric; Unudurthi, Sathya D; Hund, Thomas J

    2014-08-28

    Mathematical models are invaluable tools for understanding the relationships between components of a complex system. In the biological context, mathematical models help us understand the complex web of interrelations between various components (DNA, proteins, enzymes, signaling molecules etc.) in a biological system, gain better understanding of the system as a whole, and in turn predict its behavior in an altered state (e.g. disease). Mathematical modeling has enhanced our understanding of multiple complex biological processes like enzyme kinetics, metabolic networks, signal transduction pathways, gene regulatory networks, and electrophysiology. With recent advances in high throughput data generation methods, computational techniques and mathematical modeling have become even more central to the study of biological systems. In this review, we provide a brief history and highlight some of the important applications of modeling in biological systems with an emphasis on the study of excitable cells. We conclude with a discussion about opportunities and challenges for mathematical modeling going forward. In a larger sense, the review is designed to help answer a simple but important question that theoreticians frequently face from interested but skeptical colleagues on the experimental side: "What is the value of a model?" Copyright © 2014 Elsevier Inc. All rights reserved.

  17. A multiple imputation method based on weighted quantile regression models for longitudinal censored biomarker data with missing values at early visits.

    Science.gov (United States)

    Lee, MinJae; Rahbar, Mohammad H; Brown, Matthew; Gensler, Lianne; Weisman, Michael; Diekman, Laura; Reveille, John D

    2018-01-11

    In patient-based studies, biomarker data are often subject to left censoring due to the detection limits, or to incomplete sample or data collection. In the context of longitudinal regression analysis, inappropriate handling of these issues could lead to biased parameter estimates. We developed a specific multiple imputation (MI) strategy based on weighted censored quantile regression (CQR) that not only accounts for censoring, but also missing data at early visits when longitudinal biomarker data are modeled as a covariate. We assessed through simulation studies the performances of developed imputation approach by considering various scenarios of covariance structures of longitudinal data and levels of censoring. We also illustrated the application of the proposed method to the Prospective Study of Outcomes in Ankylosing spondylitis (AS) (PSOAS) data to address the issues of censored or missing C-reactive protein (CRP) level at early visits for a group of patients. Our findings from simulation studies indicated that the proposed method performs better than other MI methods by having a higher relative efficiency. We also found that our approach is not sensitive to the choice of covariance structure as compared to other methods that assume normality of biomarker data. The analysis results of PSOAS data from the imputed CRP levels based on our method suggested that higher CRP is significantly associated with radiographic damage, while those from other methods did not result in a significant association. The MI based on weighted CQR offers a more valid statistical approach to evaluate a biomarker of disease in the presence of both issues with censoring and missing data in early visits.

  18. The SKI*HI Model: Programming for Hearing Impaired Infants through Home Intervention, Home Visit Curriculum. Fourth Edition.

    Science.gov (United States)

    Clark, Thomas C.; Watkins, Susan

    The manual describes the SKI*HI Model, a comprehensive approach to identification and home intervention treatment of hearing impaired children and their families. The model features home programing in four basic areas: the home hearing aid program (nine lessons which facilitate the proper fit and acceptance of amplification by the child), home…

  19. Integrated modeling tool for performance engineering of complex computer systems

    Science.gov (United States)

    Wright, Gary; Ball, Duane; Hoyt, Susan; Steele, Oscar

    1989-01-01

    This report summarizes Advanced System Technologies' accomplishments on the Phase 2 SBIR contract NAS7-995. The technical objectives of the report are: (1) to develop an evaluation version of a graphical, integrated modeling language according to the specification resulting from the Phase 2 research; and (2) to determine the degree to which the language meets its objectives by evaluating ease of use, utility of two sets of performance predictions, and the power of the language constructs. The technical approach followed to meet these objectives was to design, develop, and test an evaluation prototype of a graphical, performance prediction tool. The utility of the prototype was then evaluated by applying it to a variety of test cases found in the literature and in AST case histories. Numerous models were constructed and successfully tested. The major conclusion of this Phase 2 SBIR research and development effort is that complex, real-time computer systems can be specified in a non-procedural manner using combinations of icons, windows, menus, and dialogs. Such a specification technique provides an interface that system designers and architects find natural and easy to use. In addition, PEDESTAL's multiview approach provides system engineers with the capability to perform the trade-offs necessary to produce a design that meets timing performance requirements. Sample system designs analyzed during the development effort showed that models could be constructed in a fraction of the time required by non-visual system design capture tools.

  20. Fuzzy regression modeling for tool performance prediction and degradation detection.

    Science.gov (United States)

    Li, X; Er, M J; Lim, B S; Zhou, J H; Gan, O P; Rutkowski, L

    2010-10-01

    In this paper, the viability of using Fuzzy-Rule-Based Regression Modeling (FRM) algorithm for tool performance and degradation detection is investigated. The FRM is developed based on a multi-layered fuzzy-rule-based hybrid system with Multiple Regression Models (MRM) embedded into a fuzzy logic inference engine that employs Self Organizing Maps (SOM) for clustering. The FRM converts a complex nonlinear problem to a simplified linear format in order to further increase the accuracy in prediction and rate of convergence. The efficacy of the proposed FRM is tested through a case study - namely to predict the remaining useful life of a ball nose milling cutter during a dry machining process of hardened tool steel with a hardness of 52-54 HRc. A comparative study is further made between four predictive models using the same set of experimental data. It is shown that the FRM is superior as compared with conventional MRM, Back Propagation Neural Networks (BPNN) and Radial Basis Function Networks (RBFN) in terms of prediction accuracy and learning speed.

  1. Performance Analysis, Modeling and Scaling of HPC Applications and Tools

    Energy Technology Data Exchange (ETDEWEB)

    Bhatele, Abhinav [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

    2016-01-13

    E cient use of supercomputers at DOE centers is vital for maximizing system throughput, mini- mizing energy costs and enabling science breakthroughs faster. This requires complementary e orts along several directions to optimize the performance of scienti c simulation codes and the under- lying runtimes and software stacks. This in turn requires providing scalable performance analysis tools and modeling techniques that can provide feedback to physicists and computer scientists developing the simulation codes and runtimes respectively. The PAMS project is using time allocations on supercomputers at ALCF, NERSC and OLCF to further the goals described above by performing research along the following fronts: 1. Scaling Study of HPC applications; 2. Evaluation of Programming Models; 3. Hardening of Performance Tools; 4. Performance Modeling of Irregular Codes; and 5. Statistical Analysis of Historical Performance Data. We are a team of computer and computational scientists funded by both DOE/NNSA and DOE/ ASCR programs such as ECRP, XStack (Traleika Glacier, PIPER), ExaOSR (ARGO), SDMAV II (MONA) and PSAAP II (XPACC). This allocation will enable us to study big data issues when analyzing performance on leadership computing class systems and to assist the HPC community in making the most e ective use of these resources.

  2. Visits from two ministers

    CERN Multimedia

    2005-01-01

    Two ministers have recently paid visits to CERN. On 30 June, Mosibudi Mangena, South Africa's Minister for Science and Technology, was welcomed by CERN's Chief Scientific Officer, Jos Engelen. He also visited the ALICE experiment down at Point 2, accompanied by the ALICE spokesman, Jürgen Schukraft. Physicists from the University of Cape Town are members of the ALICE collaboration. Jürgen Schukraft, ALICE spokesman, accompanies Mosibudi Mangena, South Africa's Minister for Science and Technology. The Vice-Minister-President of the Flemish Government, Fientje Moerman, visited the CMS cavern and assembly hall, followed by Building SM18, where the LHC superconducting magnets are being tested. After lunch with the CERN Management, her visit ended with a tour of the ISOLDE facilities. Fientje Moerman, Flemish Vice-Minister-President, with members of her delegation and the CMS collaboration in front of the CMS detector.

  3. Unplanned Hospital Visits - National

    Data.gov (United States)

    U.S. Department of Health & Human Services — Unplanned Hospital Visits – national data. This data set includes national-level data for the hospital return days (or excess days in acute care) measures, the...

  4. Unplanned Hospital Visits - State

    Data.gov (United States)

    U.S. Department of Health & Human Services — Unplanned Hospital Visits – state data. This data set includes state-level data for the hospital return days (or excess days in acute care) measures, the unplanned...

  5. Visit by two Ministers

    CERN Multimedia

    2008-01-01

    Last December CERN received visits from two Ministers. Bulgaria’s Deputy Prime Minister and Minister of Science and Education, Daniel Vylchev, visited the CMS experiment in the company of the CMS Spokesman, T. Virdee, and several Bulgarian physicists. From left to right: J. Stamenov, M. Mateev, S. Stavrev, T. Virdee, V. Genchev, the Minister Daniel Vylchev, A. Hristova Vutsova, L. Litov and G. Soultanov. CERN Director-General, Robert Aymar, and Montenegro’s Minister of Education and Science, Slobodan Backović. On 18 December, Robert Aymar welcomed Bulgaria’s Deputy Prime Minister and Minister of Science and Education, Daniel Vylchev. A particular highlight of his visit was a tour of the CMS site, during which he met the many Bulgarian physicists working on the experiment. He also attended a presentation of the LHC Computing Grid and visited the Computer Centre. Bulgaria has been a CERN ...

  6. Unplanned Hospital Visits - Hospital

    Data.gov (United States)

    U.S. Department of Health & Human Services — Unplanned Hospital Visits – provider data. This data set includes provider data for the hospital return days (or excess days in acute care) measures, the unplanned...

  7. Conceptual Models as Tools for Communication Across Disciplines

    Directory of Open Access Journals (Sweden)

    Marieke Heemskerk

    2003-12-01

    Full Text Available To better understand and manage complex social-ecological systems, social scientists and ecologists must collaborate. However, issues related to language and research approaches can make it hard for researchers in different fields to work together. This paper suggests that researchers can improve interdisciplinary science through the use of conceptual models as a communication tool. The authors share lessons from a workshop in which interdisciplinary teams of young scientists developed conceptual models of social-ecological systems using data sets and metadata from Long-Term Ecological Research sites across the United States. Both the process of model building and the models that were created are discussed. The exercise revealed that the presence of social scientists in a group influenced the place and role of people in the models. This finding suggests that the participation of both ecologists and social scientists in the early stages of project development may produce better questions and more accurate models of interactions between humans and ecosystems. Although the participants agreed that a better understanding of human intentions and behavior would advance ecosystem science, they felt that interdisciplinary research might gain more by training strong disciplinarians than by merging ecology and social sciences into a new field. It is concluded that conceptual models can provide an inspiring point of departure and a guiding principle for interdisciplinary group discussions. Jointly developing a model not only helped the participants to formulate questions, clarify system boundaries, and identify gaps in existing data, but also revealed the thoughts and assumptions of fellow scientists. Although the use of conceptual models will not serve all purposes, the process of model building can help scientists, policy makers, and resource managers discuss applied problems and theory among themselves and with those in other areas.

  8. ExEP yield modeling tool and validation test results

    Science.gov (United States)

    Morgan, Rhonda; Turmon, Michael; Delacroix, Christian; Savransky, Dmitry; Garrett, Daniel; Lowrance, Patrick; Liu, Xiang Cate; Nunez, Paul

    2017-09-01

    EXOSIMS is an open-source simulation tool for parametric modeling of the detection yield and characterization of exoplanets. EXOSIMS has been adopted by the Exoplanet Exploration Programs Standards Definition and Evaluation Team (ExSDET) as a common mechanism for comparison of exoplanet mission concept studies. To ensure trustworthiness of the tool, we developed a validation test plan that leverages the Python-language unit-test framework, utilizes integration tests for selected module interactions, and performs end-to-end crossvalidation with other yield tools. This paper presents the test methods and results, with the physics-based tests such as photometry and integration time calculation treated in detail and the functional tests treated summarily. The test case utilized a 4m unobscured telescope with an idealized coronagraph and an exoplanet population from the IPAC radial velocity (RV) exoplanet catalog. The known RV planets were set at quadrature to allow deterministic validation of the calculation of physical parameters, such as working angle, photon counts and integration time. The observing keepout region was tested by generating plots and movies of the targets and the keepout zone over a year. Although the keepout integration test required the interpretation of a user, the test revealed problems in the L2 halo orbit and the parameterization of keepout applied to some solar system bodies, which the development team was able to address. The validation testing of EXOSIMS was performed iteratively with the developers of EXOSIMS and resulted in a more robust, stable, and trustworthy tool that the exoplanet community can use to simulate exoplanet direct-detection missions from probe class, to WFIRST, up to large mission concepts such as HabEx and LUVOIR.

  9. ISRU System Model Tool: From Excavation to Oxygen Production

    Science.gov (United States)

    Santiago-Maldonado, Edgardo; Linne, Diane L.

    2007-01-01

    In the late 80's, conceptual designs for an in situ oxygen production plant were documented in a study by Eagle Engineering [1]. In the "Summary of Findings" of this study, it is clearly pointed out that: "reported process mass and power estimates lack a consistent basis to allow comparison." The study goes on to say: "A study to produce a set of process mass, power, and volume requirements on a consistent basis is recommended." Today, approximately twenty years later, as humans plan to return to the moon and venture beyond, the need for flexible up-to-date models of the oxygen extraction production process has become even more clear. Multiple processes for the production of oxygen from lunar regolith are being investigated by NASA, academia, and industry. Three processes that have shown technical merit are molten regolith electrolysis, hydrogen reduction, and carbothermal reduction. These processes have been selected by NASA as the basis for the development of the ISRU System Model Tool (ISMT). In working to develop up-to-date system models for these processes NASA hopes to accomplish the following: (1) help in the evaluation process to select the most cost-effective and efficient process for further prototype development, (2) identify key parameters, (3) optimize the excavation and oxygen production processes, and (4) provide estimates on energy and power requirements, mass and volume of the system, oxygen production rate, mass of regolith required, mass of consumables, and other important parameters. Also, as confidence and high fidelity is achieved with each component's model, new techniques and processes can be introduced and analyzed at a fraction of the cost of traditional hardware development and test approaches. A first generation ISRU System Model Tool has been used to provide inputs to the Lunar Architecture Team studies.

  10. Modeling and Control of the Cobelli Model as a Personalized Prescriptive Tool for Diabetes Treatment

    Science.gov (United States)

    2016-11-05

    physiological accurate model allows for the use of control theory to investigate applications as a personalized prescription tool. This research...physiological accurate model allows for the use of control theory to investigate applications as a personalized prescription tool. This research...utilization increases toward healthy levels. The second pathway is by decreasing the endogenous glucose production of the liver to the bloodstream [6,7

  11. Introducing Modeling Transition Diagrams as a Tool to Connect Mathematical Modeling to Mathematical Thinking

    Science.gov (United States)

    Czocher, Jennifer A.

    2016-01-01

    This study contributes a methodological tool to reconstruct the cognitive processes and mathematical activities carried out by mathematical modelers. Represented as Modeling Transition Diagrams (MTDs), individual modeling routes were constructed for four engineering undergraduate students. Findings stress the importance and limitations of using…

  12. Development of tools and models for computational fracture assessment

    International Nuclear Information System (INIS)

    Talja, H.; Santaoja, K.

    1998-01-01

    The aim of the work presented in this paper has been to develop and test new computational tools and theoretically more sound methods for fracture mechanical analysis. The applicability of the engineering integrity assessment system MASI for evaluation of piping components has been extended. The most important motivation for the theoretical development have been the well-known fundamental limitations in the validity of J-integral, which limits its applicability in many important practical safety assessment cases. Examples are extensive plastic deformation, multimaterial structures and ascending loading paths (especially warm prestress, WPS). Further, the micromechanical Gurson model has been applied to several reactor pressure vessel materials. Special attention is paid to the transferability of Gurson model parameters from tensile test results to prediction of ductile failure behaviour of cracked structures. (author)

  13. MTK: An AI tool for model-based reasoning

    Science.gov (United States)

    Erickson, William K.; Schwartz, Mary R.

    1987-01-01

    A 1988 goal for the Systems Autonomy Demonstration Project Office of the NASA Ames Research Center is to apply model-based representation and reasoning techniques in a knowledge-based system that will provide monitoring, fault diagnosis, control and trend analysis of the space station Thermal Management System (TMS). A number of issues raised during the development of the first prototype system inspired the design and construction of a model-based reasoning tool called MTK, which was used in the building of the second prototype. These issues are outlined, along with examples from the thermal system to highlight the motivating factors behind them. An overview of the capabilities of MTK is given.

  14. Port performance evaluation tool based on microsimulation model

    Directory of Open Access Journals (Sweden)

    Tsavalista Burhani Jzolanda

    2017-01-01

    Full Text Available As port performance is becoming correlative to national competitiveness, the issue of port performance evaluation has significantly raised. Port performances can simply be indicated by port service levels to the ship (e.g., throughput, waiting for berthing etc., as well as the utilization level of equipment and facilities within a certain period. The performances evaluation then can be used as a tool to develop related policies for improving the port’s performance to be more effective and efficient. However, the evaluation is frequently conducted based on deterministic approach, which hardly captures the nature variations of port parameters. Therefore, this paper presents a stochastic microsimulation model for investigating the impacts of port parameter variations to the port performances. The variations are derived from actual data in order to provide more realistic results. The model is further developed using MATLAB and Simulink based on the queuing theory.

  15. Isotopes as validation tools for global climate models

    International Nuclear Information System (INIS)

    Henderson-Sellers, A.

    2001-01-01

    Global Climate Models (GCMs) are the predominant tool with which we predict the future climate. In order that people can have confidence in such predictions, GCMs require validation. As almost every available item of meteorological data has been exploited in the construction and tuning of GCMs to date, independent validation is very difficult. This paper explores the use of isotopes as a novel and fully independent means of evaluating GCMs. The focus is the Amazon Basin which has a long history of isotope collection and analysis and also of climate modelling: both having been reported for over thirty years. Careful consideration of the results of GCM simulations of Amazonian deforestation and climate change suggests that the recent stable isotope record is more consistent with the predicted effects of greenhouse warming, possibly combined with forest removal, than with GCM predictions of the effects of deforestation alone

  16. Edge effect modeling of small tool polishing in planetary movement

    Science.gov (United States)

    Li, Qi-xin; Ma, Zhen; Jiang, Bo; Yao, Yong-sheng

    2018-03-01

    As one of the most challenging problems in Computer Controlled Optical Surfacing (CCOS), the edge effect greatly affects the polishing accuracy and efficiency. CCOS rely on stable tool influence function (TIF), however, at the edge of the mirror surface,with the grinding head out of the mirror ,the contact area and pressure distribution changes, which resulting in a non-linear change of TIF, and leads to tilting or sagging at the edge of the mirror. In order reduce the adverse effects and improve the polishing accuracy and efficiency. In this paper, we used the finite element simulation to analyze the pressure distribution at the mirror edge and combined with the improved traditional method to establish a new model. The new method fully considered the non-uniformity of pressure distribution. After modeling the TIFs in different locations, the description and prediction of the edge effects are realized, which has a positive significance on the control and suppression of edge effects

  17. Empirical flow parameters : a tool for hydraulic model validity

    Science.gov (United States)

    Asquith, William H.; Burley, Thomas E.; Cleveland, Theodore G.

    2013-01-01

    The objectives of this project were (1) To determine and present from existing data in Texas, relations between observed stream flow, topographic slope, mean section velocity, and other hydraulic factors, to produce charts such as Figure 1 and to produce empirical distributions of the various flow parameters to provide a methodology to "check if model results are way off!"; (2) To produce a statistical regional tool to estimate mean velocity or other selected parameters for storm flows or other conditional discharges at ungauged locations (most bridge crossings) in Texas to provide a secondary way to compare such values to a conventional hydraulic modeling approach. (3.) To present ancillary values such as Froude number, stream power, Rosgen channel classification, sinuosity, and other selected characteristics (readily determinable from existing data) to provide additional information to engineers concerned with the hydraulic-soil-foundation component of transportation infrastructure.

  18. Automated sensitivity analysis: New tools for modeling complex dynamic systems

    International Nuclear Information System (INIS)

    Pin, F.G.

    1987-01-01

    Sensitivity analysis is an established methodology used by researchers in almost every field to gain essential insight in design and modeling studies and in performance assessments of complex systems. Conventional sensitivity analysis methodologies, however, have not enjoyed the widespread use they deserve considering the wealth of information they can provide, partly because of their prohibitive cost or the large initial analytical investment they require. Automated systems have recently been developed at ORNL to eliminate these drawbacks. Compilers such as GRESS and EXAP now allow automatic and cost effective calculation of sensitivities in FORTRAN computer codes. In this paper, these and other related tools are described and their impact and applicability in the general areas of modeling, performance assessment and decision making for radioactive waste isolation problems are discussed

  19. Analysis of Cryogenic Cycle with Process Modeling Tool: Aspen HYSYS

    International Nuclear Information System (INIS)

    Joshi, D.M.; Patel, H.K.

    2015-01-01

    Cryogenic engineering deals with the development and improvement of low temperature techniques, processes and equipment. A process simulator such as Aspen HYSYS, for the design, analysis, and optimization of process plants, has features that accommodate the special requirements and therefore can be used to simulate most cryogenic liquefaction and refrigeration processes. Liquefaction is the process of cooling or refrigerating a gas to a temperature below its critical temperature so that liquid can be formed at some suitable pressure which is below the critical pressure. Cryogenic processes require special attention in terms of the integration of various components like heat exchangers, Joule-Thompson Valve, Turbo expander and Compressor. Here, Aspen HYSYS, a process modeling tool, is used to understand the behavior of the complete plant. This paper presents the analysis of an air liquefaction plant based on the Linde cryogenic cycle, performed using the Aspen HYSYS process modeling tool. It covers the technique used to find the optimum values for getting the maximum liquefaction of the plant considering different constraints of other parameters. The analysis result so obtained gives clear idea in deciding various parameter values before implementation of the actual plant in the field. It also gives an idea about the productivity and profitability of the given configuration plant which leads to the design of an efficient productive plant

  20. MODEL CAR TRANSPORT SYSTEM - MODERN ITS EDUCATION TOOL

    Directory of Open Access Journals (Sweden)

    Karel Bouchner

    2017-12-01

    Full Text Available The model car transport system is a laboratory intended for a practical development in the area of the motor traffic. It is also an important education tool for students’ hands-on training, enabling students to test the results of their own studies. The main part of the model car transportation network is a model in a ratio 1:87 (HO, based on component units of FALLER Car system, e.g. cars, traffic lights, carriage way, parking spaces, stop sections, branch-off junctions, sensors and control sections. The model enables to simulate real traffic situations. It includes a motor traffic in a city, in a small village, on a carriageway between a city and a village including a railway crossing. The traffic infrastructure includes different kinds of intersections, such as T-junctions, a classic four-way crossroad and four-way traffic circle, with and without traffic lights control. Another important part of the model is a segment of a highway which includes an elevated crossing with highway approaches and exits.

  1. A decision-tree model to detect post-calving diseases based on rumination, activity, milk yield, BW and voluntary visits to the milking robot.

    Science.gov (United States)

    Steensels, M; Antler, A; Bahr, C; Berckmans, D; Maltz, E; Halachmi, I

    2016-09-01

    Early detection of post-calving health problems is critical for dairy operations. Separating sick cows from the herd is important, especially in robotic-milking dairy farms, where searching for a sick cow can disturb the other cows' routine. The objectives of this study were to develop and apply a behaviour- and performance-based health-detection model to post-calving cows in a robotic-milking dairy farm, with the aim of detecting sick cows based on available commercial sensors. The study was conducted in an Israeli robotic-milking dairy farm with 250 Israeli-Holstein cows. All cows were equipped with rumination- and neck-activity sensors. Milk yield, visits to the milking robot and BW were recorded in the milking robot. A decision-tree model was developed on a calibration data set (historical data of the 10 months before the study) and was validated on the new data set. The decision model generated a probability of being sick for each cow. The model was applied once a week just before the veterinarian performed the weekly routine post-calving health check. The veterinarian's diagnosis served as a binary reference for the model (healthy-sick). The overall accuracy of the model was 78%, with a specificity of 87% and a sensitivity of 69%, suggesting its practical value.

  2. An artificial intelligence tool for complex age-depth models

    Science.gov (United States)

    Bradley, E.; Anderson, K. A.; de Vesine, L. R.; Lai, V.; Thomas, M.; Nelson, T. H.; Weiss, I.; White, J. W. C.

    2017-12-01

    CSciBox is an integrated software system for age modeling of paleoenvironmental records. It incorporates an array of data-processing and visualization facilities, ranging from 14C calibrations to sophisticated interpolation tools. Using CSciBox's GUI, a scientist can build custom analysis pipelines by composing these built-in components or adding new ones. Alternatively, she can employ CSciBox's automated reasoning engine, Hobbes, which uses AI techniques to perform an in-depth, autonomous exploration of the space of possible age-depth models and presents the results—both the models and the reasoning that was used in constructing and evaluating them—to the user for her inspection. Hobbes accomplishes this using a rulebase that captures the knowledge of expert geoscientists, which was collected over the course of more than 100 hours of interviews. It works by using these rules to generate arguments for and against different age-depth model choices for a given core. Given a marine-sediment record containing uncalibrated 14C dates, for instance, Hobbes tries CALIB-style calibrations using a choice of IntCal curves, with reservoir age correction values chosen from the 14CHRONO database using the lat/long information provided with the core, and finally composes the resulting age points into a full age model using different interpolation methods. It evaluates each model—e.g., looking for outliers or reversals—and uses that information to guide the next steps of its exploration, and presents the results to the user in human-readable form. The most powerful of CSciBox's built-in interpolation methods is BACON, a Bayesian sedimentation-rate algorithm—a powerful but complex tool that can be difficult to use. Hobbes adjusts BACON's many parameters autonomously to match the age model to the expectations of expert geoscientists, as captured in its rulebase. It then checks the model against the data and iteratively re-calculates until it is a good fit to the data.

  3. Watershed modeling tools and data for prognostic and diagnostic

    Science.gov (United States)

    Chambel-Leitao, P.; Brito, D.; Neves, R.

    2009-04-01

    When eutrophication is considered an important process to control it can be accomplished reducing nitrogen and phosphorus losses from both point and nonpoint sources and helping to assess the effectiveness of the pollution reduction strategy. HARP-NUT guidelines (Guidelines on Harmonized Quantification and Reporting Procedures for Nutrients) (Borgvang & Selvik, 2000) are presented by OSPAR as the best common quantification and reporting procedures for calculating the reduction of nutrient inputs. In 2000, OSPAR HARP-NUT guidelines on a trial basis. They were intended to serve as a tool for OSPAR Contracting Parties to report, in a harmonized manner, their different commitments, present or future, with regard to nutrients under the OSPAR Convention, in particular the "Strategy to Combat Eutrophication". HARP-NUT Guidelines (Borgvang and Selvik, 2000; Schoumans, 2003) were developed to quantify and report on the individual sources of nitrogen and phosphorus discharges/losses to surface waters (Source Orientated Approach). These results can be compared to nitrogen and phosphorus figures with the total riverine loads measured at downstream monitoring points (Load Orientated Approach), as load reconciliation. Nitrogen and phosphorus retention in river systems represents the connecting link between the "Source Orientated Approach" and the "Load Orientated Approach". Both approaches are necessary for verification purposes and both may be needed for providing the information required for the various commitments. Guidelines 2,3,4,5 are mainly concerned with the sources estimation. They present a set of simple calculations that allow the estimation of the origin of loads. Guideline 6 is a particular case where the application of a model is advised, in order to estimate the sources of nutrients from diffuse sources associated with land use/land cover. The model chosen for this was SWAT (Arnold & Fohrer, 2005) model because it is suggested in the guideline 6 and because it

  4. Role of Travel Motivations, Perceived Risks and Travel Constraints on Destination Image and Visit Intention in Medical Tourism: Theoretical model

    OpenAIRE

    Khan, Mohammad J.; Chelliah, Shankar; Haron, Mahmod S.; Ahmed, Sahrish

    2017-01-01

    Travel motivations, perceived risks and travel constraints, along with the attributes and characteristics of medical tourism destinations, are important issues in medical tourism. Although the importance of these factors is already known, a comprehensive theoretical model of the decision-making process of medical tourists has yet to be established, analysing the intricate relationships between the different variables involved. This article examines a large body of literature on both medical a...

  5. Slab2 - Updated Subduction Zone Geometries and Modeling Tools

    Science.gov (United States)

    Moore, G.; Hayes, G. P.; Portner, D. E.; Furtney, M.; Flamme, H. E.; Hearne, M. G.

    2017-12-01

    The U.S. Geological Survey database of global subduction zone geometries (Slab1.0), is a highly utilized dataset that has been applied to a wide range of geophysical problems. In 2017, these models have been improved and expanded upon as part of the Slab2 modeling effort. With a new data driven approach that can be applied to a broader range of tectonic settings and geophysical data sets, we have generated a model set that will serve as a more comprehensive, reliable, and reproducible resource for three-dimensional slab geometries at all of the world's convergent margins. The newly developed framework of Slab2 is guided by: (1) a large integrated dataset, consisting of a variety of geophysical sources (e.g., earthquake hypocenters, moment tensors, active-source seismic survey images of the shallow slab, tomography models, receiver functions, bathymetry, trench ages, and sediment thickness information); (2) a dynamic filtering scheme aimed at constraining incorporated seismicity to only slab related events; (3) a 3-D data interpolation approach which captures both high resolution shallow geometries and instances of slab rollback and overlap at depth; and (4) an algorithm which incorporates uncertainties of contributing datasets to identify the most probable surface depth over the extent of each subduction zone. Further layers will also be added to the base geometry dataset, such as historic moment release, earthquake tectonic providence, and interface coupling. Along with access to several queryable data formats, all components have been wrapped into an open source library in Python, such that suites of updated models can be released as further data becomes available. This presentation will discuss the extent of Slab2 development, as well as the current availability of the model and modeling tools.

  6. NOTE FROM VISITS SERVICE

    CERN Multimedia

    ETT Division; Division ETT; Service des visites

    2000-01-01

    The Visit Service noticed that for many years countries such as Great Britain, Germany, Spain, Portugal, the Netherlands and the Scandinavian countries visit CERN less than other member countries and that is due to the high price of the trip for the students. To improve the situation the Visit Service plans to create a network of 'Family-Accommodation' ('Famille-Accueil') in Geneva and in France nearbywith the aim to facilitate the trip to foreign students especially from the more distant member countries and to encourage them to visit our unique laboratory. We expect this exchange to be an interesting experience for both the students and the welcoming family ('famille d'accueil'). If you are interested in participating in this family network, please fill in the questionnaire below. The questionnaire is to be returned to the Visit Service, Mrs Christine Fromm, e-mail Christine.Fromm@cern.ch.Name: First name: CERN address: E-mail: Portable phone number: Home address...

  7. Using Modeling Tools to Better Understand Permafrost Hydrology

    Directory of Open Access Journals (Sweden)

    Clément Fabre

    2017-06-01

    Full Text Available Modification of the hydrological cycle and, subsequently, of other global cycles is expected in Arctic watersheds owing to global change. Future climate scenarios imply widespread permafrost degradation caused by an increase in air temperature, and the expected effect on permafrost hydrology is immense. This study aims at analyzing, and quantifying the daily water transfer in the largest Arctic river system, the Yenisei River in central Siberia, Russia, partially underlain by permafrost. The semi-distributed SWAT (Soil and Water Assessment Tool hydrological model has been calibrated and validated at a daily time step in historical discharge simulations for the 2003–2014 period. The model parameters have been adjusted to embrace the hydrological features of permafrost. SWAT is shown capable to estimate water fluxes at a daily time step, especially during unfrozen periods, once are considered specific climatic and soils conditions adapted to a permafrost watershed. The model simulates average annual contribution to runoff of 263 millimeters per year (mm yr−1 distributed as 152 mm yr−1 (58% of surface runoff, 103 mm yr−1 (39% of lateral flow and 8 mm yr−1 (3% of return flow from the aquifer. These results are integrated on a reduced basin area downstream from large dams and are closer to observations than previous modeling exercises.

  8. Bayesian hierarchical modelling of continuous non‐negative longitudinal data with a spike at zero: An application to a study of birds visiting gardens in winter

    Science.gov (United States)

    Buckland, Stephen T.; King, Ruth; Toms, Mike P.

    2015-01-01

    The development of methods for dealing with continuous data with a spike at zero has lagged behind those for overdispersed or zero‐inflated count data. We consider longitudinal ecological data corresponding to an annual average of 26 weekly maximum counts of birds, and are hence effectively continuous, bounded below by zero but also with a discrete mass at zero. We develop a Bayesian hierarchical Tweedie regression model that can directly accommodate the excess number of zeros common to this type of data, whilst accounting for both spatial and temporal correlation. Implementation of the model is conducted in a Markov chain Monte Carlo (MCMC) framework, using reversible jump MCMC to explore uncertainty across both parameter and model spaces. This regression modelling framework is very flexible and removes the need to make strong assumptions about mean‐variance relationships a priori. It can also directly account for the spike at zero, whilst being easily applicable to other types of data and other model formulations. Whilst a correlative study such as this cannot prove causation, our results suggest that an increase in an avian predator may have led to an overall decrease in the number of one of its prey species visiting garden feeding stations in the United Kingdom. This may reflect a change in behaviour of house sparrows to avoid feeding stations frequented by sparrowhawks, or a reduction in house sparrow population size as a result of sparrowhawk increase. PMID:25737026

  9. Role of Travel Motivations, Perceived Risks and Travel Constraints on Destination Image and Visit Intention in Medical Tourism: Theoretical model.

    Science.gov (United States)

    Khan, Mohammad J; Chelliah, Shankar; Haron, Mahmod S; Ahmed, Sahrish

    2017-02-01

    Travel motivations, perceived risks and travel constraints, along with the attributes and characteristics of medical tourism destinations, are important issues in medical tourism. Although the importance of these factors is already known, a comprehensive theoretical model of the decision-making process of medical tourists has yet to be established, analysing the intricate relationships between the different variables involved. This article examines a large body of literature on both medical and conventional tourism in order to propose a comprehensive theoretical framework of medical tourism decision-making. Many facets of this complex phenomenon require further empirical investigation.

  10. Role of Travel Motivations, Perceived Risks and Travel Constraints on Destination Image and Visit Intention in Medical Tourism; Theoretical model

    Directory of Open Access Journals (Sweden)

    Mohammad J. Khan

    2017-03-01

    Full Text Available Travel motivations, perceived risks and travel constraints, along with the attributes and characteristics of medical tourism destinations, are important issues in medical tourism. Although the importance of these factors is already known, a comprehensive theoretical model of the decision-making process of medical tourists has yet to be established, analysing the intricate relationships between the different variables involved. This article examines a large body of literature on both medical and conventional tourism in order to propose a comprehensive theoretical framework of medical tourism decision-making. Many facets of this complex phenomenon require further empirical investigation.

  11. Visit by two Ministers

    CERN Document Server

    2007-01-01

    Two European ministers have recently paid visits to CERN. On 11 June, the Austrian Minister for Science and Research, Johannes Hahn, visited the CMS cavern and assembly hall, before being given a tour of the CERN Control Centre. Following a lunch with the Ambassador, he was shown the LHC Computing Grid. His visit was rounded off with meetings with Robert Aymar and with Austrian students working at CERN. The Austrian Minister for Science and Research, Johannes Hahn, and Felicitas Pauss, Deputy Chair of the CMS Collaboration Committee, in front of one of the sections of the CMS detector. Jos Engelen, CERN’s Chief Scientific Officer, Jens Jorgen Gaardhoje, a physicist from the Niels Bohr Institute and a member of the ALICE collaboration, and the Danish Employment Minister, Claus Hjort Frederiksen, in front of the ALICE detector. On 12 June, Claus Hjort Frederiksen, the Danish Employment Minister,...

  12. Dutch ministerial visit

    CERN Multimedia

    2007-01-01

    Dutch Minister of Education, Culture and Science R. Plasterk (third from left) in the ATLAS cavern with NIKHEF Director F. Linde, CERN Chief Scientific Officer J. Engelen, Ambassador J. van Eenennaam, ATLAS Collaboration Spokesperson P. Jenni, Mission Representative G. Vrielink and ATLAS Magnet Project Leader H. ten Kate.Minister of Education, Culture and Science from the Kingdom of the Netherlands, Ronald Plasterk, visited CERN on 25th October. With Jos Engelen, CERN Scientific Director, as his guide he visited Point 1 of the LHC tunnel and ATLAS, where Nikhef (the national institute for subatomic physics, a Dutch government and university collaboration) constructed all 96 of the largest muon drift chambers in the barrel as well as parts of the magnet system, the inner detector, the DAQ and triggering. Overall the Netherlands contribute 4.5% to the annual CERN budget and the minister’s visit celebrated the contributions of the 79 ...

  13. Using urban forest assessment tools to model bird habitat potential

    Science.gov (United States)

    Lerman, Susannah B.; Nislow, Keith H.; Nowak, David J.; DeStefano, Stephen; King, David I.; Jones-Farrand, D. Todd

    2014-01-01

    The alteration of forest cover and the replacement of native vegetation with buildings, roads, exotic vegetation, and other urban features pose one of the greatest threats to global biodiversity. As more land becomes slated for urban development, identifying effective urban forest wildlife management tools becomes paramount to ensure the urban forest provides habitat to sustain bird and other wildlife populations. The primary goal of this study was to integrate wildlife suitability indices to an existing national urban forest assessment tool, i-Tree. We quantified available habitat characteristics of urban forests for ten northeastern U.S. cities, and summarized bird habitat relationships from the literature in terms of variables that were represented in the i-Tree datasets. With these data, we generated habitat suitability equations for nine bird species representing a range of life history traits and conservation status that predicts the habitat suitability based on i-Tree data. We applied these equations to the urban forest datasets to calculate the overall habitat suitability for each city and the habitat suitability for different types of land-use (e.g., residential, commercial, parkland) for each bird species. The proposed habitat models will help guide wildlife managers, urban planners, and landscape designers who require specific information such as desirable habitat conditions within an urban management project to help improve the suitability of urban forests for birds.

  14. A Simple Evacuation Modeling and Simulation Tool for First Responders

    Energy Technology Data Exchange (ETDEWEB)

    Koch, Daniel B [ORNL; Payne, Patricia W [ORNL

    2015-01-01

    Although modeling and simulation of mass evacuations during a natural or man-made disaster is an on-going and vigorous area of study, tool adoption by front-line first responders is uneven. Some of the factors that account for this situation include cost and complexity of the software. For several years, Oak Ridge National Laboratory has been actively developing the free Incident Management Preparedness and Coordination Toolkit (IMPACT) to address these issues. One of the components of IMPACT is a multi-agent simulation module for area-based and path-based evacuations. The user interface is designed so that anyone familiar with typical computer drawing tools can quickly author a geospatially-correct evacuation visualization suitable for table-top exercises. Since IMPACT is designed for use in the field where network communications may not be available, quick on-site evacuation alternatives can be evaluated to keep pace with a fluid threat situation. Realism is enhanced by incorporating collision avoidance into the simulation. Statistics are gathered as the simulation unfolds, including most importantly time-to-evacuate, to help first responders choose the best course of action.

  15. WIFIRE Data Model and Catalog for Wildfire Data and Tools

    Science.gov (United States)

    Altintas, I.; Crawl, D.; Cowart, C.; Gupta, A.; Block, J.; de Callafon, R.

    2014-12-01

    The WIFIRE project (wifire.ucsd.edu) is building an end-to-end cyberinfrastructure for real-time and data-driven simulation, prediction and visualization of wildfire behavior. WIFIRE may be used by wildfire management authorities in the future to predict wildfire rate of spread and direction, and assess the effectiveness of high-density sensor networks in improving fire and weather predictions. WIFIRE has created a data model for wildfire resources including sensed and archived data, sensors, satellites, cameras, modeling tools, workflows and social information including Twitter feeds. This data model and associated wildfire resource catalog includes a detailed description of the HPWREN sensor network, SDG&E's Mesonet, and NASA MODIS. In addition, the WIFIRE data-model describes how to integrate the data from multiple heterogeneous sources to provide detailed fire-related information. The data catalog describes 'Observables' captured by each instrument using multiple ontologies including OGC SensorML and NASA SWEET. Observables include measurements such as wind speed, air temperature, and relative humidity, as well as their accuracy and resolution. We have implemented a REST service for publishing to and querying from the catalog using Web Application Description Language (WADL). We are creating web-based user interfaces and mobile device Apps that use the REST interface for dissemination to wildfire modeling community and project partners covering academic, private, and government laboratories while generating value to emergency officials and the general public. Additionally, the Kepler scientific workflow system is instrumented to interact with this data catalog to access real-time streaming and archived wildfire data and stream it into dynamic data-driven wildfire models at scale.

  16. Computational Tools To Model Halogen Bonds in Medicinal Chemistry.

    Science.gov (United States)

    Ford, Melissa Coates; Ho, P Shing

    2016-03-10

    The use of halogens in therapeutics dates back to the earliest days of medicine when seaweed was used as a source of iodine to treat goiters. The incorporation of halogens to improve the potency of drugs is now fairly standard in medicinal chemistry. In the past decade, halogens have been recognized as direct participants in defining the affinity of inhibitors through a noncovalent interaction called the halogen bond or X-bond. Incorporating X-bonding into structure-based drug design requires computational models for the anisotropic distribution of charge and the nonspherical shape of halogens, which lead to their highly directional geometries and stabilizing energies. We review here current successes and challenges in developing computational methods to introduce X-bonding into lead compound discovery and optimization during drug development. This fast-growing field will push further development of more accurate and efficient computational tools to accelerate the exploitation of halogens in medicinal chemistry.

  17. Prototype of Automated PLC Model Checking Using Continuous Integration Tools

    CERN Document Server

    Lettrich, Michael

    2015-01-01

    To deal with the complexity of operating and supervising large scale industrial installations at CERN, often Programmable Logic Controllers (PLCs) are used. A failure in these control systems can cause a disaster in terms of economic loses, environmental damages or human losses. Therefore the requirements to software quality are very high. To provide PLC developers with a way to verify proper functionality against requirements, a Java tool named PLCverif has been developed which encapsulates and thus simplifies the use of third party model checkers. One of our goals in this project is to integrate PLCverif in development process of PLC programs. When the developer changes the program, all the requirements should be verified again, as a change on the code can produce collateral effects and violate one or more requirements. For that reason, PLCverif has been extended to work with Jenkins CI in order to trigger automatically the verication cases when the developer changes the PLC program. This prototype has been...

  18. The Innsbruck/ESO sky models and telluric correction tools*

    Directory of Open Access Journals (Sweden)

    Kimeswenger S.

    2015-01-01

    While the ground based astronomical observatories just have to correct for the line-of-sight integral of these effects, the Čerenkov telescopes use the atmosphere as the primary detector. The measured radiation originates at lower altitudes and does not pass through the entire atmosphere. Thus, a decent knowledge of the profile of the atmosphere at any time is required. The latter cannot be achieved by photometric measurements of stellar sources. We show here the capabilities of our sky background model and data reduction tools for ground-based optical/infrared telescopes. Furthermore, we discuss the feasibility of monitoring the atmosphere above any observing site, and thus, the possible application of the method for Čerenkov telescopes.

  19. Development of hydrogeological modelling tools based on NAMMU

    International Nuclear Information System (INIS)

    Marsic, N.; Hartley, L.; Jackson, P.; Poole, M.; Morvik, A.

    2001-09-01

    A number of relatively sophisticated hydrogeological models were developed within the SR 97 project to handle issues such as nesting of scales and the effects of salinity. However, these issues and others are considered of significant importance and generality to warrant further development of the hydrogeological methodology. Several such developments based on the NAMMU package are reported here: - Embedded grid: nesting of the regional- and site-scale models within the same numerical model has given greater consistency in the structural model representation and in the flow between scales. Since there is a continuous representation of the regional- and site-scales the modelling of pathways from the repository no longer has to be contained wholly by the site-scale region. This allows greater choice in the size of the site-scale. - Implicit Fracture Zones (IFZ): this method of incorporating the structural model is very efficient and allows changes to either the mesh or fracture zones to be implemented quickly. It also supports great flexibility in the properties of the structures and rock mass. - Stochastic fractures: new functionality has been added to IFZ to allow arbitrary combinations of stochastic or deterministic fracture zones with the rock-mass. Whether a fracture zone is modelled deterministically or stochastically its statistical properties can be defined independently. - Stochastic modelling: efficient methods for Monte-Carlo simulation of stochastic permeability fields have been implemented and tested on SKB's computers. - Visualisation: the visualisation tool Avizier for NAMMU has been enhanced such that it is efficient for checking models and presentation. - PROPER interface: NAMMU outputs pathlines in PROPER format so that it can be included in PA workflow. The developed methods are illustrated by application to stochastic nested modelling of the Beberg site using data from SR 97. The model properties were in accordance with the regional- and site

  20. Extending the Will, Skill, Tool Model of Technology Integration: Adding Pedagogy as a New Model Construct

    Science.gov (United States)

    Knezek, Gerald; Christensen, Rhonda

    2016-01-01

    An expansion of the Will, Skill, Tool Model of Technology Integration to include teacher's pedagogical style is proposed by the authors as a means of advancing the predictive power of the model for level of classroom technology integration to beyond 90%. Suggested advantages to this expansion include more precise identification of areas to be…

  1. Planning the network of gas pipelines through modeling tools

    Energy Technology Data Exchange (ETDEWEB)

    Sucupira, Marcos L.L.; Lutif Filho, Raimundo B. [Companhia de Gas do Ceara (CEGAS), Fortaleza, CE (Brazil)

    2009-07-01

    Natural gas is a source of non-renewable energy used by different sectors of the economy of Ceara. Its use may be industrial, residential, commercial, as a source of automotive fuel, as a co-generation of energy and as a source for generating electricity from heat. For its practicality this energy has a strong market acceptance and provides a broad list of clients to fit their use, which makes it possible to reach diverse parts of the city. Its distribution requires a complex network of pipelines that branches throughout the city to meet all potential clients interested in this source of energy. To facilitate the design, analysis, expansion and location of bottlenecks and breaks in the distribution network, a modeling software is used that allows the network manager of the net to manage the various information about the network. This paper presents the advantages of modeling the gas distribution network of natural gas companies in Ceara, showing the tool used, the steps necessary for the implementation of the models, the advantages of using the software and the findings obtained with its use. (author)

  2. Complex Coronary Hemodynamics - Simple Analog Modelling as an Educational Tool.

    Science.gov (United States)

    Parikh, Gaurav R; Peter, Elvis; Kakouros, Nikolaos

    2017-01-01

    Invasive coronary angiography remains the cornerstone for evaluation of coronary stenoses despite there being a poor correlation between luminal loss assessment by coronary luminography and myocardial ischemia. This is especially true for coronary lesions deemed moderate by visual assessment. Coronary pressure-derived fractional flow reserve (FFR) has emerged as the gold standard for the evaluation of hemodynamic significance of coronary artery stenosis, which is cost effective and leads to improved patient outcomes. There are, however, several limitations to the use of FFR including the evaluation of serial stenoses. In this article, we discuss the electronic-hydraulic analogy and the utility of simple electrical modelling to mimic the coronary circulation and coronary stenoses. We exemplify the effect of tandem coronary lesions on the FFR by modelling of a patient with sequential disease segments and complex anatomy. We believe that such computational modelling can serve as a powerful educational tool to help clinicians better understand the complexity of coronary hemodynamics and improve patient care.

  3. Romanian Visit to CERN

    CERN Multimedia

    2001-01-01

    Romanian Minister for Foreign Affairs, Mr Mircea Dan Geoana, visited CERN on 30 March to discuss collaboration between his country and the Laboratory. Above, Mr Dan Geoana signs the visitors' book in the presence of CERN Director General Luciano Maiani and Mrs Anda Flip, Ambassador and permanent representative of Romania at the United Nations.

  4. Focus on Parental Visiting.

    Science.gov (United States)

    Child Welfare Information Services, Inc., New York, NY.

    This report consists of seven charts which present data on patterns of parental visiting of children in foster care in New York City from October 1976 through March 1977. Information contained in the charts is derived from the quarterly Child Welfare Information Services (CWIS) reports developed by David Fanshel and John Grundy. The charts present…

  5. Thomas Kibble visits CERN

    CERN Multimedia

    Rosaria Marraffino

    2014-01-01

    Emeritus Professor Sir Thomas W.B. Kibble, from Imperial College London visited LHC for the first time last week and delivered a colloquium on the genesis of electroweak unification and the Brout-Englert-Higgs mechanism.   From left to right: Jim Virdee, Tiziano Camporesi, Tom Kibble and Austin Ball on the visit to CMS. On his way back from Trieste, where he received the Abdus Salam International Centre for Theoretical Physics' Dirac Medal, Tom Kibble stopped by CERN for his first visit to the LHC. Kibble had a standing invitation from Jim Virdee, former CMS spokesperson, who is also a researcher from Imperial College London. Peter Jenni (left) and Tom Kibble tour the ATLAS detector. (Image: Erwan Bertrand) Kibble made the trip to CERN a family outing and brought along 14 relatives,  including his children and grandchildren. He visited the ATLAS detector with Peter Jenni, its former spokesperson, on Friday 10 October. In the afternoon, Kibble delivered a colloquium in the...

  6. Malaysian Students Visit Thailand.

    Science.gov (United States)

    International Understanding at School, 1983

    1983-01-01

    Five students and one coordinator from the Unesco Associated Schools Project undertook a study visit to Bangkok to exchange views and experiences. Future joint projects/activities were discussed, and the students gained some insight into the life of their counterparts in Thailand. (RM)

  7. Auger Physicists visit CMS

    CERN Multimedia

    Hoch, Michael

    2012-01-01

    Visit at CERN P5 CMS in the experimental cavern Alan Watson, Auger Spokesperson Emeritus, University of Leeds; Jim Cronin, Nobel Laureate, Auger Spokesperson Emeritus, University of Chicago; Jim Virdee, CMS Former Spokesperson, Imperial College; Jim Matthews, Auger Co-Spokesperson, Louisiana State University

  8. College Students Understanding of Production Management and Master Production Schedule through Using a Real World Tool, Complimented with Company Tours and In- Class Visits, Provides an Excellent Learning Experience at Farmingdale State College

    Directory of Open Access Journals (Sweden)

    Jill Anne O'Sullivan

    2015-08-01

    Full Text Available Manufacturing is playing a significant role in its re-shoring into America. Companies are grappling with ways to obtain that competitive advantage by distinguishing themselves through their intellectual capabilities, process improvements, technology, people, shop floor management and information flows. The purpose of this paper is to describe the effort at Farmingdale State College to educate our students in understanding Production Management and Master Production Schedule (MPS. We are trying to prepare students for entry into the workforce. By using a Real world ERP tool in the classroom while complimenting this learning with touring local manufacturers who use this tool and having production control experts in our classrooms. [1] The opportunity presents itself for these students to visit real world manufacturers using the same tool these students use in the classroom, the Infor Visual ERP. Each semester students go to a local manufacturer to see how the product is made and the ERP system is used to make it. Each semester a subject matter expert, SME, in manufacturing comes into the class and talks about how they use their ERP to perform their functional responsibilities. Students go into these companies and sit down with these Production Manufacturing and IT SME's to see how they use the modules in their ERP system from estimating, Production Management, MPS to delivery and payment. From the manufacturing window to the Master Schedule Window students learn from these companies SME's just how they perform their functions, how they use this tool. Then that is replicated this in the classroom lab assignments for students to better understand Production Management, scheduling and work order integrity. They identify the desired schedule (forecast and populate a Master Production Schedule. They create a BOM with work orders adding operations and material. The Production Management/Control is the function of directing or regulating the movement of

  9. A crowdsourcing model for creating preclinical medical education study tools.

    Science.gov (United States)

    Bow, Hansen C; Dattilo, Jonathan R; Jonas, Andrea M; Lehmann, Christoph U

    2013-06-01

    During their preclinical course work, medical students must memorize and recall substantial amounts of information. Recent trends in medical education emphasize collaboration through team-based learning. In the technology world, the trend toward collaboration has been characterized by the crowdsourcing movement. In 2011, the authors developed an innovative approach to team-based learning that combined students' use of flashcards to master large volumes of content with a crowdsourcing model, using a simple informatics system to enable those students to share in the effort of generating concise, high-yield study materials. The authors used Google Drive and developed a simple Java software program that enabled students to simultaneously access and edit sets of questions and answers in the form of flashcards. Through this crowdsourcing model, medical students in the class of 2014 at the Johns Hopkins University School of Medicine created a database of over 16,000 questions that corresponded to the Genes to Society basic science curriculum. An analysis of exam scores revealed that students in the class of 2014 outperformed those in the class of 2013, who did not have access to the flashcard system, and a survey of students demonstrated that users were generally satisfied with the system and found it a valuable study tool. In this article, the authors describe the development and implementation of their crowdsourcing model for creating study materials, emphasize its simplicity and user-friendliness, describe its impact on students' exam performance, and discuss how students in any educational discipline could implement a similar model of collaborative learning.

  10. Tools and Models for Integrating Multiple Cellular Networks

    Energy Technology Data Exchange (ETDEWEB)

    Gerstein, Mark [Yale Univ., New Haven, CT (United States). Gerstein Lab.

    2015-11-06

    In this grant, we have systematically investigated the integrated networks, which are responsible for the coordination of activity between metabolic pathways in prokaryotes. We have developed several computational tools to analyze the topology of the integrated networks consisting of metabolic, regulatory, and physical interaction networks. The tools are all open-source, and they are available to download from Github, and can be incorporated in the Knowledgebase. Here, we summarize our work as follow. Understanding the topology of the integrated networks is the first step toward understanding its dynamics and evolution. For Aim 1 of this grant, we have developed a novel algorithm to determine and measure the hierarchical structure of transcriptional regulatory networks [1]. The hierarchy captures the direction of information flow in the network. The algorithm is generally applicable to regulatory networks in prokaryotes, yeast and higher organisms. Integrated datasets are extremely beneficial in understanding the biology of a system in a compact manner due to the conflation of multiple layers of information. Therefore for Aim 2 of this grant, we have developed several tools and carried out analysis for integrating system-wide genomic information. To make use of the structural data, we have developed DynaSIN for protein-protein interactions networks with various dynamical interfaces [2]. We then examined the association between network topology with phenotypic effects such as gene essentiality. In particular, we have organized E. coli and S. cerevisiae transcriptional regulatory networks into hierarchies. We then correlated gene phenotypic effects by tinkering with different layers to elucidate which layers were more tolerant to perturbations [3]. In the context of evolution, we also developed a workflow to guide the comparison between different types of biological networks across various species using the concept of rewiring [4], and Furthermore, we have developed

  11. Enabling analytical and Modeling Tools for Enhanced Disease Surveillance

    Energy Technology Data Exchange (ETDEWEB)

    Dawn K. Manley

    2003-04-01

    Early detection, identification, and warning are essential to minimize casualties from a biological attack. For covert attacks, sick people are likely to provide the first indication of an attack. An enhanced medical surveillance system that synthesizes distributed health indicator information and rapidly analyzes the information can dramatically increase the number of lives saved. Current surveillance methods to detect both biological attacks and natural outbreaks are hindered by factors such as distributed ownership of information, incompatible data storage and analysis programs, and patient privacy concerns. Moreover, because data are not widely shared, few data mining algorithms have been tested on and applied to diverse health indicator data. This project addressed both integration of multiple data sources and development and integration of analytical tools for rapid detection of disease outbreaks. As a first prototype, we developed an application to query and display distributed patient records. This application incorporated need-to-know access control and incorporated data from standard commercial databases. We developed and tested two different algorithms for outbreak recognition. The first is a pattern recognition technique that searches for space-time data clusters that may signal a disease outbreak. The second is a genetic algorithm to design and train neural networks (GANN) that we applied toward disease forecasting. We tested these algorithms against influenza, respiratory illness, and Dengue Fever data. Through this LDRD in combination with other internal funding, we delivered a distributed simulation capability to synthesize disparate information and models for earlier recognition and improved decision-making in the event of a biological attack. The architecture incorporates user feedback and control so that a user's decision inputs can impact the scenario outcome as well as integrated security and role-based access-control for communicating

  12. The Importance of Efficacy: Using the Extended Parallel Process Model to Examine Factors Related to Preschool-Age Children Enrolled in Medicaid Receiving Preventive Dental Visits

    Science.gov (United States)

    Askelson, Natoshia M.; Chi, Donald L.; Momany, Elizabeth T.; Kuthy, Raymond A.; Carter, Knute D.; Field, Kathryn; Damiano, Peter C.

    2015-01-01

    Early preventive dental visits are vital to the oral health of children. Yet many children, especially preschool-age children enrolled in Medicaid, do not receive early visits. This study attempts to uncover factors that can be used to encourage parents to seek preventive dental care for preschool-age children enrolled in Medicaid. The extended…

  13. Improving Power System Modeling. A Tool to Link Capacity Expansion and Production Cost Models

    Energy Technology Data Exchange (ETDEWEB)

    Diakov, Victor [National Renewable Energy Lab. (NREL), Golden, CO (United States); Cole, Wesley [National Renewable Energy Lab. (NREL), Golden, CO (United States); Sullivan, Patrick [National Renewable Energy Lab. (NREL), Golden, CO (United States); Brinkman, Gregory [National Renewable Energy Lab. (NREL), Golden, CO (United States); Margolis, Robert [National Renewable Energy Lab. (NREL), Golden, CO (United States)

    2015-11-01

    Capacity expansion models (CEM) provide a high-level long-term view at the prospects of the evolving power system. In simulating the possibilities of long-term capacity expansion, it is important to maintain the viability of power system operation in the short-term (daily, hourly and sub-hourly) scales. Production-cost models (PCM) simulate routine power system operation on these shorter time scales using detailed load, transmission and generation fleet data by minimizing production costs and following reliability requirements. When based on CEM 'predictions' about generating unit retirements and buildup, PCM provide more detailed simulation for the short-term system operation and, consequently, may confirm the validity of capacity expansion predictions. Further, production cost model simulations of a system that is based on capacity expansion model solution are 'evolutionary' sound: the generator mix is the result of logical sequence of unit retirement and buildup resulting from policy and incentives. The above has motivated us to bridge CEM with PCM by building a capacity expansion - to - production cost model Linking Tool (CEPCoLT). The Linking Tool is built to onset capacity expansion model prescriptions onto production cost model inputs. NREL's ReEDS and Energy Examplar's PLEXOS are the capacity expansion and the production cost models, respectively. Via the Linking Tool, PLEXOS provides details of operation for the regionally-defined ReEDS scenarios.

  14. Bayesian hierarchical modelling of continuous non-negative longitudinal data with a spike at zero: An application to a study of birds visiting gardens in winter.

    Science.gov (United States)

    Swallow, Ben; Buckland, Stephen T; King, Ruth; Toms, Mike P

    2016-03-01

    The development of methods for dealing with continuous data with a spike at zero has lagged behind those for overdispersed or zero-inflated count data. We consider longitudinal ecological data corresponding to an annual average of 26 weekly maximum counts of birds, and are hence effectively continuous, bounded below by zero but also with a discrete mass at zero. We develop a Bayesian hierarchical Tweedie regression model that can directly accommodate the excess number of zeros common to this type of data, whilst accounting for both spatial and temporal correlation. Implementation of the model is conducted in a Markov chain Monte Carlo (MCMC) framework, using reversible jump MCMC to explore uncertainty across both parameter and model spaces. This regression modelling framework is very flexible and removes the need to make strong assumptions about mean-variance relationships a priori. It can also directly account for the spike at zero, whilst being easily applicable to other types of data and other model formulations. Whilst a correlative study such as this cannot prove causation, our results suggest that an increase in an avian predator may have led to an overall decrease in the number of one of its prey species visiting garden feeding stations in the United Kingdom. This may reflect a change in behaviour of house sparrows to avoid feeding stations frequented by sparrowhawks, or a reduction in house sparrow population size as a result of sparrowhawk increase. © 2015 The Author. Biometrical Journal published by WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  15. Romanian President Visits CERN

    CERN Multimedia

    2001-01-01

    Director General Luciano Maiani watches as Romanian President Ion Iliescu signs the CERN guest book. On Friday the 12th of October, Romanian President Ion Iliescu arrived at CERN and was warmly greeted by Director General Luciano Maiani at the steps of building 500. After initial greetings and a general presentation of the laboratory, President Iliescu and his entourage embarked on a whistle stop tour of the CERN facilities. They visited the CMS magnet assembly hall and civil engineering work where presentations were made by CMS spokesperson Michel Della Negra and the ATLAS Tile Calorimeter where the president was introduced to Romanian physicists working here at CERN. Michel Della Negra explains some of the general principles behind CMS to President Iliescu during his visit last week. The Romanian teams working on CERN projects make very visible contributions, for example to the construction of the ATLAS experiment and to the preparation of its eventual scientific exploitation. 'Those of us on the ATLAS ...

  16. German visits to CERN

    CERN Multimedia

    2007-01-01

    State secretary to Germany's Federal Ministry of Education and Research, Frieder Meyer-Krahmer, with CERN's Director-General Robert Aymar.On 21 February, Professor Frieder Meyer-Krahmer, State Secretary to Germany's Federal Ministry of Education and Research, came to CERN. He visited the ALICE and ATLAS experiments and the computing centre before meeting the CERN's Director-General, some German physicists and members of the top management. The Minister of Science, Research and the Arts of the Baden-Württemberg regional government, Peter Frankenberg, and CERN's Director-General, Robert Aymar, signing an agreement on education. In the background: Sigurd Lettow, CERN's Director of Finance and Human Resources, and Karl-Heinz Meisel, Rector of the Fachhochschule Karlsruhe. The Minister of Science, Research and the Arts of the Baden-Württemberg regional government, Prof. Peter Frankenberg, visited CERN on 23 February. He was accompanied by the Rector of the Fachhochschule Karlsruhe, Prof. Karl-Heinz Meisel, and b...

  17. A royal visit

    CERN Multimedia

    Katarina Anthony

    2014-01-01

    On Wednesday, 21 May, CERN received His Majesty Philippe, King of the Belgians, for a full-day visit of the Laboratory.   From left to right: Tiziano Camporesi, CMS Spokesperson; François Englert, Nobel Prize in Physics 2013; Rolf Heuer, CERN Director-General; His Majesty Philippe, King of the Belgians; Philippe Courard, Belgium's State Secretary for Scientific Policy and Walter Van Doninck, CERN Council Vice-President. Director-General Rolf Heuer welcomed King Philippe to CERN at Point 5 (Cessy). This was to be no small visit, with His Majesty accompanied by a host of diplomats, prominent Belgian physicists - including François Englert - and even members of Belgium's press corps. After quick introductions, the morning began with a tour of the CMS underground experimental area and the LHC tunnel at Point 5, guided by the CMS Collaboration Spokesperson, Tiziano Camporesi, and the Director for Accelerators and Technology, Frédérick Bord...

  18. Indian President visits CERN

    CERN Multimedia

    Katarina Anthony

    2011-01-01

    On 1 October, her Excellency Mrs Pratibha Devisingh Patil, President of India, picked CERN as the first stop on her official state visit to Switzerland. Accompanied by a host of Indian journalists, a security team, and a group of presidential delegates, the president left quite an impression when she visited CERN’s Point 2!   Upon arrival, Pratibha Patil was greeted by CERN Director General Rolf Heuer, as well as senior Indian scientists working at CERN, and various department directors. After a quick overview of the Organization, Rolf Heuer and the President addressed India’s future collaboration with CERN. India is currently an Observer State of the Organization, and is considering becoming an Associate Member State. A short stop in LHC operations gave Steve Myers and the Accelerator team the opportunity to take the President on a tour through the LHC tunnel. From there, ALICE’s Tapan Nayak and Spokesperson Paolo Giubellino took Pratibha Patil to the experiment&am...

  19. Belgian Firms Visit CERN

    CERN Multimedia

    2001-01-01

    Fifteen Belgian firms visited CERN last 2 and 3 April to present their know-how. Industrial sectors ranging from precision machining to electrical engineering and electronics were represented. And for the first time, companies from the Flemish and Brussels regions of the country joined their Walloon compatriots, who have come to CERN before. The visit was organised by Mr J.-M. Warêgne, economic and commercial attaché at the Belgian permanent mission for the French-speaking region, Mr J. Van de Vondel, his opposite number for the Flemish region, and Mrs E. Solowianiuk, economic and commercial counsellor at the Belgian permanent mission for the Brussels-Capital region.

  20. Supriya Jindal visits school

    Science.gov (United States)

    2009-01-01

    Louisiana First Lady Supriya Jindal (left) speaks to teachers and students at A.P. Tureaud Elementary School in New Orleans during a March 19 visit. At the school, Jindal was joined by retired NASA astronaut Sally Ride, the first American woman in space. Ride was a crew member on space shuttle Challenger during its STS-7 mission in 1983. She also was a crew member of space shuttle discovery on the STS-41 mission in 1984.

  1. On Visiting Our Dead

    Directory of Open Access Journals (Sweden)

    Joanna Clapps Herman

    2013-08-01

    Full Text Available A redefining of the meaning of death and grief: this essay explores a rejection of conventional ideas about mourning and describes the experiences of two daughters after they have lost their beloved father. In the one case, it is an evocation of his spirit that feels like a conversation and, in the other, visits by the father to the daughter through palpable signs.

  2. Visiting 'J' Village

    International Nuclear Information System (INIS)

    Tomek, J.

    2012-01-01

    Prior to entrance into twenty km evacuated zone of Fukushima Daiichi, there is so called 'J' Village. Until now, it was a centre used by the Japan football representation. Today, employees working at this locality as well as all visits pass this village. They can only enter the evacuated area in a bus, equipped with an electronic dosimeter, with a face mask, gloves, and shoe covers. (author)

  3. An Integrated Package of Neuromusculoskeletal Modeling Tools in Simulink (TM)

    National Research Council Canada - National Science Library

    Davoodi, R

    2001-01-01

    .... Blocks representing the skeletal linkage, sensors, muscles, and neural controllers are developed using separate software tools and integrated in the powerful simulation environment of Simulink (Mathworks Inc., USA...

  4. EU Commissioner visits CERN

    CERN Multimedia

    2005-01-01

    European Commissioner Viviane Reding in front of one of the computers showing how the Grid works and, from left to right, Robert Aymar, CERN's Director-General, Wolfgang von Rüden, Head of the Information Technology Department, and Bob Jones, the newly appointed director of the EGEE project since 1st November. Viviane Reding, European Commissioner for Information Society and Media, visited CERN on 28 October. Accompanied throughout by CERN's Director-General, Robert Aymar, and the Head of the Information Technology Department, Wolfgang von Rüden, the Commissioner visited the ATLAS cavern before going on to the Information Technology Department, where she was given a complete overview of CERN's activities in the strategic field of Grid computing. Viviane Reding's visit coincided with the end of the EGEE (Enabling Grids for E-sciencE) conference, which took place in Pisa in Italy. Co-ordinated by CERN and funded by the European Commission, the EGEE project aims to set up a worldwide grid infrastructure for sc...

  5. Spanish Visit to CERN

    CERN Multimedia

    2002-01-01

    Last week CERN was visited by the Spanish Minister of Science and Technology, Josep Piqué i Camps. While here, he was able to visit the ATLAS assembly hall where many items of equipment are being built in collaboration with Spanish academic institutions or firms. These include the vacuum vessels for the ATLAS barrel toroid magnets supplied by the Spanish firm Felguera Construcciones Mechanics. Similarly, the Universidad Autónoma de Madrid is participating in the manufacture of the electromagnetic calorimeter endcaps, while the Barcelona Institute for High Energy Physics and the Valencia IFIC (Instituto de Física Corpuscular) are highly involved in the production of barrel modules for the tile calorimeter. The delegation, accompanied by Spanish scientists at CERN, also visited the LHC superconducting magnet test hall (photo). From left to right: Felix Rodriguez Mateos of CERN LHC Division, Josep Piqué i Camps, Spanish Minister of Science and Technology, César Dopazo, Director-General of CIEMAT (Spanish ...

  6. EUCYS prizewinner visits CERN

    CERN Multimedia

    Jennifer Toes

    2016-01-01

    Young Turkish student Baris Volkan Gürses visited CERN from 4 to 8 July after winning the prize in the 2015 European Contest for Young Scientists (EUCYS).    Baris Volkan Gürses, EUCYS prizewinner, visiting the Microcosm. After winning both regional and national competitions in Turkey, 18-year-old student Baris Volkan Gürses competed against 169 young scientists and was awarded a visit to CERN by EIROforum for his physics project in EUCYS 2015. His project, entitled “Generation of artificial gravity by using electrostatic force for prevention of muscle atrophy and osteoporosis occurring in gravity-free environments”, focused on the design of a mechanism to help with the impact of spaceflight on the human body. “My objective was to eliminate the negative effects of a gravity-free environment on astronauts who stay in space for longer periods of time, like in the International Space Station,” explained Volkan. &...

  7. A boost to visits

    CERN Multimedia

    2005-01-01

    Several guides were rewarded by CERN's Director-General and Secretary-General for their contributions in 2004. Left to right: Géraldine Chuste, the Director-General Robert Aymar, Klaus Batzner, Philippe Moret, Joanna Weng, Alberto Ribon, Head of the Visits Service, Emma Sanders, and the Secretary-General, Maximilian Metzger. Three other guides not in the photograph, Antonio Francano, Christoph Ilgner and Tzanko Spassoff, were also rewarded for their contributions. As every year, the CERN Visits Service has paid tribute to its guides, all of whom are volunteers and devote some of their time to showing people around their Laboratory. The guides were invited to a get-together in Microcosm during which the Director-General, Robert Aymar, expressed his special gratitude for their efforts and presented awards to the most dedicated among them. He encouraged members of the Laboratory to become guides and underlined that 2004 had been an exceptional year for visits, which had risen by 15% to almost 22,000. Including ...

  8. Analytical Modeling Tool for Design of Hydrocarbon Sensitive Optical Fibers

    Directory of Open Access Journals (Sweden)

    Khalil Al Handawi

    2017-09-01

    Full Text Available Pipelines are the main transportation means for oil and gas products across large distances. Due to the severe conditions they operate in, they are regularly inspected using conventional Pipeline Inspection Gages (PIGs for corrosion damage. The motivation for researching a real-time distributed monitoring solution arose to mitigate costs and provide a proactive indication of potential failures. Fiber optic sensors with polymer claddings provide a means of detecting contact with hydrocarbons. By coating the fibers with a layer of metal similar in composition to that of the parent pipeline, corrosion of this coating may be detected when the polymer cladding underneath is exposed to the surrounding hydrocarbons contained within the pipeline. A Refractive Index (RI change occurs in the polymer cladding causing a loss in intensity of a traveling light pulse due to a reduction in the fiber’s modal capacity. Intensity losses may be detected using Optical Time Domain Reflectometry (OTDR while pinpointing the spatial location of the contact via time delay calculations of the back-scattered pulses. This work presents a theoretical model for the above sensing solution to provide a design tool for the fiber optic cable in the context of hydrocarbon sensing following corrosion of an external metal coating. Results are verified against the experimental data published in the literature.

  9. The Will, Skill, Tool Model of Technology Integration: Adding Pedagogy as a New Model Construct

    Science.gov (United States)

    Knezek, Gerald; Christensen, Rhonda

    2015-01-01

    An expansion of the Will, Skill, Tool Model of Technology Integration to include teacher's pedagogical style is proposed by the authors as a means of advancing the predictive power for level of classroom technology integration to beyond 90%. Suggested advantages to this expansion include more precise identification of areas to be targeted for…

  10. Accelerated bridge construction (ABC) decision making and economic modeling tool.

    Science.gov (United States)

    2011-12-01

    In this FHWA-sponsored pool funded study, a set of decision making tools, based on the Analytic Hierarchy Process (AHP) was developed. This tool set is prepared for transportation specialists and decision-makers to determine if ABC is more effective ...

  11. Proposal for a CERN Virtual Visit Service

    CERN Document Server

    AUTHOR|(INSPIRE)INSPIRE-00085461; Hatzifotiadou, Despina; Lapka, Marzena; Petrilli, Achille; Alexopoulos, Angelos; Bressan, Beatrice; Pietrzyk, Bolek; Papanestis, Antonis; Baron, Thomas; Domaracky, Marek; Fernandes, Joao; Lavrut, Loic; Gillies, James; Fichet, Jacques Herve; Noyes, Dan; Catapano, Paola; Landua, Rolf

    2015-01-01

    This note proposes the development of a CERN-wide Virtual Visit Service. Such a service would build upon the experience of the LHC Experiments, CERN DG EDU and DG COM, and the expertise of CERN IT CIS, to develop a world-leading communication and educational programme designed to serve the entire community in an effective and economical manner. Administration and Operation of the service would be modelled on the highly successful CERN Visits and Collaboration Services, and would extend the reach of Education, Outreach, and Communication to audiences around the globe, many of who might not have the opportunity to visit the laboratory in person.

  12. Response Surface Modeling Tool Suite, Version 1.x

    Energy Technology Data Exchange (ETDEWEB)

    2016-07-05

    The Response Surface Modeling (RSM) Tool Suite is a collection of three codes used to generate an empirical interpolation function for a collection of drag coefficient calculations computed with Test Particle Monte Carlo (TPMC) simulations. The first code, "Automated RSM", automates the generation of a drag coefficient RSM for a particular object to a single command. "Automated RSM" first creates a Latin Hypercube Sample (LHS) of 1,000 ensemble members to explore the global parameter space. For each ensemble member, a TPMC simulation is performed and the object drag coefficient is computed. In the next step of the "Automated RSM" code, a Gaussian process is used to fit the TPMC simulations. In the final step, Markov Chain Monte Carlo (MCMC) is used to evaluate the non-analytic probability distribution function from the Gaussian process. The second code, "RSM Area", creates a look-up table for the projected area of the object based on input limits on the minimum and maximum allowed pitch and yaw angles and pitch and yaw angle intervals. The projected area from the look-up table is used to compute the ballistic coefficient of the object based on its pitch and yaw angle. An accurate ballistic coefficient is crucial in accurately computing the drag on an object. The third code, "RSM Cd", uses the RSM generated by the "Automated RSM" code and the projected area look-up table generated by the "RSM Area" code to accurately compute the drag coefficient and ballistic coefficient of the object. The user can modify the object velocity, object surface temperature, the translational temperature of the gas, the species concentrations of the gas, and the pitch and yaw angles of the object. Together, these codes allow for the accurate derivation of an object's drag coefficient and ballistic coefficient under any conditions with only knowledge of the object's geometry and mass.

  13. Enhancing Formal Modelling Tool Support with Increased Automation

    DEFF Research Database (Denmark)

    Lausdahl, Kenneth

    Progress report for the qualification exam report for PhD Student Kenneth Lausdahl. Initial work on enhancing tool support for the formal method VDM and the concept of unifying a abstract syntax tree with the ability for isolated extensions is described. The tool support includes a connection...... to UML and a test automation principle based on traces written as a kind of regular expressions....

  14. The CERN Visits Service proposes: Lab Visits for CERN People

    CERN Multimedia

    2001-01-01

    The CMS assembly hall at point 5 - one of the new Visits Service itineraries. Discover the new visits itineraries of your laboratory with the Visits Service! The recently completed visitors platform in the CMS detector assembly hall at point 5, first of a series of new visit tours, will be the destination for special summer visits organised by the Visits Service for CERN people. Each week the Visits Service will reserve a slot to take CERN people to visit the CMS assembly hall and get first hand experience of the magnitude of the LHC endeavour. Tours will be shorter than the public visit programme, and will include a short introduction in the bus along with a guided tour of the CMS visitor platform. Visits will start at 3.30 pm from the visits meeting point in the reception of building 33, and the bus will be back at reception at 5 pm. Up to 24 people can take part in each visit. The calendar for the coming weeks is: Friday 27 July in French Thursday 2 August in English Wednesday 8 August in French Booking...

  15. Use of System Dynamics Techniques in the Garrison Health Modelling Tool

    Science.gov (United States)

    2010-11-01

    Joint Health Command (JHC) tasked DSTO to develop techniques for modelling Defence health service delivery both in a Garrison environment in Australia ...UNCLASSIFIED UNCLASSIFIED Use of System Dynamics Techniques in the Garrison Health Modelling Tool Mark Burnett, Kerry Clifford and...Garrison Health Modelling Tool, a prototype software package designed to provide decision-support to JHC health officers and managers in a garrison

  16. Kofi Annan visits CERN

    CERN Multimedia

    Katarina Anthony

    2011-01-01

    On Tuesday 13 September, former Secretary-General of the United Nations and Nobel Peace Laureate Kofi Annan paid a visit to CERN.   Arriving in the early afternoon, Kofi Annan and his family were greeted by Director-General Rolf Heuer on the steps of Building 500. After a quick introduction to the Laboratory, they were whisked off to SM18 for a tour of the LHC’s superconducting magnet test hall, guided by Technology Department Head Frédérick Bordry. After a light lunch in Restaurant 2, Kofi Annan added his signature to CERN’s Guest Book. He is the second UN Secretary-General to add their name to CERN’s roster; his successor Ban Ki-Moon’s visited CERN in 2008.  Kofi Annan was then guided by spokesperson Fabiola Gianotti on a tour of ATLAS’s Visitor Centre. This was an opportunity for some of the younger members of the ATLAS collaboration to meet the former Secretary-General and to answer his questions about the exper...

  17. Emergency presurgical visit

    Directory of Open Access Journals (Sweden)

    Alfredo Castro Díaz

    2009-07-01

    Full Text Available The objective has been to create a Protocol of Structured Presurgical Visit applicable to the patients who are undergoing an emergency surgery, to provide the user and his family all the necessary cares on the basis of those nursing diagnosis that prevail in all the cases of surgical emergency interventions. The used method has been an analysis of the emergency surgical interventions more prevalent from February 2007 until October 2008 in our area (a regional hospital, and statistic of those nursing diagnosis that more frequently appeared in these interventions, the previous moment to the intervention and in addition common to all of them. The results were the following ones: the more frequent emergency operations were: Caesarean, ginecological curettage, laparotomy, help in risk childbirth, orthopaedic surgery and appendectomy. The more frequent nursing diagnosis in all the emergency operations at the previous moment of the intervention were: risk of falls, pain, anxiety, deficit of knowledge, risk of infection, movement stress syndrome, risk of hemorrhage, cutaneous integrity deterioration. The conclusion is that users present at the previous moment to an emergency operation several problems, which force to the emergency surgical ward nurse to the introduction of the nursing methodology, in order to identify the problems, to mark results and to indicate the interventions to achieve those results, besides in a humanitarian way and with quality. This can be obtained by performing a Structured Emergency Presurgical Visit.

  18. Antenatal care visits and pregnancy outcomes at a Kenyan rural ...

    African Journals Online (AJOL)

    Background: The goal of antenatal care (ANC) is to improve maternal and neonatal outcomes. Fewer ANC visits in focused antenatal care (FANC) model can affect maternal and perinatal outcomes in low income settings where the number ANC visits are often low. Objective: To determine the number of ANC visits and their ...

  19. Hypersonic Control Modeling and Simulation Tool for Lifting Towed Ballutes, Phase I

    Data.gov (United States)

    National Aeronautics and Space Administration — Global Aerospace Corporation proposes to develop a hypersonic control modeling and simulation tool for hypersonic aeroassist vehicles. Our control and simulation...

  20. A Modeling Tool for Household Biogas Burner Flame Port Design

    Science.gov (United States)

    Decker, Thomas J.

    Anaerobic digestion is a well-known and potentially beneficial process for rural communities in emerging markets, providing the opportunity to generate usable gaseous fuel from agricultural waste. With recent developments in low-cost digestion technology, communities across the world are gaining affordable access to the benefits of anaerobic digestion derived biogas. For example, biogas can displace conventional cooking fuels such as biomass (wood, charcoal, dung) and Liquefied Petroleum Gas (LPG), effectively reducing harmful emissions and fuel cost respectively. To support the ongoing scaling effort of biogas in rural communities, this study has developed and tested a design tool aimed at optimizing flame port geometry for household biogas-fired burners. The tool consists of a multi-component simulation that incorporates three-dimensional CAD designs with simulated chemical kinetics and computational fluid dynamics. An array of circular and rectangular port designs was developed for a widely available biogas stove (called the Lotus) as part of this study. These port designs were created through guidance from previous studies found in the literature. The three highest performing designs identified by the tool were manufactured and tested experimentally to validate tool output and to compare against the original port geometry. The experimental results aligned with the tool's prediction for the three chosen designs. Each design demonstrated improved thermal efficiency relative to the original, with one configuration of circular ports exhibiting superior performance. The results of the study indicated that designing for a targeted range of port hydraulic diameter, velocity and mixture density in the tool is a relevant way to improve the thermal efficiency of a biogas burner. Conversely, the emissions predictions made by the tool were found to be unreliable and incongruent with laboratory experiments.

  1. SBML qualitative models: a model representation format and infrastructure to foster interactions between qualitative modelling formalisms and tools.

    Science.gov (United States)

    Chaouiya, Claudine; Bérenguier, Duncan; Keating, Sarah M; Naldi, Aurélien; van Iersel, Martijn P; Rodriguez, Nicolas; Dräger, Andreas; Büchel, Finja; Cokelaer, Thomas; Kowal, Bryan; Wicks, Benjamin; Gonçalves, Emanuel; Dorier, Julien; Page, Michel; Monteiro, Pedro T; von Kamp, Axel; Xenarios, Ioannis; de Jong, Hidde; Hucka, Michael; Klamt, Steffen; Thieffry, Denis; Le Novère, Nicolas; Saez-Rodriguez, Julio; Helikar, Tomáš

    2013-12-10

    Qualitative frameworks, especially those based on the logical discrete formalism, are increasingly used to model regulatory and signalling networks. A major advantage of these frameworks is that they do not require precise quantitative data, and that they are well-suited for studies of large networks. While numerous groups have developed specific computational tools that provide original methods to analyse qualitative models, a standard format to exchange qualitative models has been missing. We present the Systems Biology Markup Language (SBML) Qualitative Models Package ("qual"), an extension of the SBML Level 3 standard designed for computer representation of qualitative models of biological networks. We demonstrate the interoperability of models via SBML qual through the analysis of a specific signalling network by three independent software tools. Furthermore, the collective effort to define the SBML qual format paved the way for the development of LogicalModel, an open-source model library, which will facilitate the adoption of the format as well as the collaborative development of algorithms to analyse qualitative models. SBML qual allows the exchange of qualitative models among a number of complementary software tools. SBML qual has the potential to promote collaborative work on the development of novel computational approaches, as well as on the specification and the analysis of comprehensive qualitative models of regulatory and signalling networks.

  2. The CERN Visits Service proposes: Lab Visits for CERN People

    CERN Document Server

    2001-01-01

    The CMS assembly hall at point 5 - one of the new Visits Service itineraries. Discover the new visits itineraries of your laboratory with the Visits Service! The recently completed visitors platform in the CMS detector assembly hall at point 5, first of a series of new visit itineraries, will be the destination for special summer visits organised by the Visits Service for CERN people. Each week the Visits Service will reserve a slot to take CERN people to visit the CMS assembly hall and get first hand experience of the magnitude of the LHC endeavour. Tours will be shorter than the public visit programme, and will include a short introduction in the bus along with a guided tour of the CMS visitor platform. Visits will start at 3.30 pm from the reception of building 33, and the bus will be back at reception at 5 pm. Up to 22 people can take part in each visit. The calendar for the coming weeks is: Wednesday 15 August in English Wednesday 22 August in French Wednesday 29 August in English Bookings should be m...

  3. The CERN Visits Service proposes: Lab Visits for CERN People

    CERN Document Server

    2001-01-01

    The CMS assembly hall at point 5 - one of the new Visits Service itineraries. Discover the new visits itineraries of your laboratory with the Visits Service! The recently completed visitors platform in the CMS detector assembly hall at point 5, first of a series of new visit itineraries, will be the destination for special summer visits organised by the Visits Service for CERN people. Each week the Visits Service will reserve a slot to take CERN people to visit the CMS assembly hall and get first hand experience of the magnitude of the LHC endeavour. Tours will be shorter than the public visit programme, and will include a short introduction in the bus along with a guided tour of the CMS visitor platform. Visits will start at 3.30 pm from the reception of building 33, and the bus will be back at reception at 5 pm. Up to 22 people can take part in each visit. The calendar for the coming weeks is: Thursday 2 August in English Wednesday 8 August in French Wednesday 15 August in English Bookings should be made...

  4. The CERN Visits Service proposes: Lab Visits for CERN People

    CERN Document Server

    2001-01-01

    The CMS assembly hall at point 5 - one of the new Visits Service itineraries. Discover the new visits itineraries of your laboratory with the Visits Service! The recently completed visitors platform in the CMS detector assembly hall at point 5, first of a series of new visit itineraries, will be the destination for special summer visits organised by the Visits Service for CERN people. Each week the Visits Service will reserve a slot to take CERN people to visit the CMS assembly hall and get first hand experience of the magnitude of the LHC endeavour. Tours will be shorter than the public visit programme, and will include a short introduction in the bus along with a guided tour of the CMS visitor platform. Visits will start at 3.30 pm from the reception of building 33, and the bus will be back at reception at 5 pm. Up to 22 people can take part in each visit. The calendar for the coming weeks is: Wednesday 8 August in French Wednesday 15 August in English Wednesday 22 August in French Bookings should be mad...

  5. Modelling Machine Tools using Structure Integrated Sensors for Fast Calibration

    Directory of Open Access Journals (Sweden)

    Benjamin Montavon

    2018-02-01

    Full Text Available Monitoring of the relative deviation between commanded and actual tool tip position, which limits the volumetric performance of the machine tool, enables the use of contemporary methods of compensation to reduce tolerance mismatch and the uncertainties of on-machine measurements. The development of a primarily optical sensor setup capable of being integrated into the machine structure without limiting its operating range is presented. The use of a frequency-modulating interferometer and photosensitive arrays in combination with a Gaussian laser beam allows for fast and automated online measurements of the axes’ motion errors and thermal conditions with comparable accuracy, lower cost, and smaller dimensions as compared to state-of-the-art optical measuring instruments for offline machine tool calibration. The development is tested through simulation of the sensor setup based on raytracing and Monte-Carlo techniques.

  6. k-visit Attribute Grammars

    DEFF Research Database (Denmark)

    Nielson, Hanne Riis; Skyum, S.

    1981-01-01

    It is shown that any well-defined attribute grammar is k-visit for some k. Furthermore, it is shown that given a well-defined grammar G and an integer k, it is decidable whether G is k-visit. Finally it is shown that the k-visit grammars specify a proper hierarchy with respect to translations...

  7. UK school visit: Alfriston School for girls

    CERN Multimedia

    Sophie Louise Hetherton

    2014-01-01

    Pupils with learning disabilities from Alfriston School in the UK visited the CMS detector last week. This visit was funded by the UK's Science and Technologies Facilities Council (STFC) as part of a grant awarded to support activities that will help to build the girls’ self-esteem and interest in physics.   Alfriston School students at CMS. On Friday, 10 October, pupils from Alfriston School – a UK secondary school catering for girls with a wide range of special educational needs and disabilities – paid a special visit to CERN. Dave Waterman, a science teacher at the school, recently received a Public Engagement Small Award from the STFC, which enabled the group of girls and accompanying teachers to travel to Switzerland and visit CERN. The awards form part of a project to boost the girls’ confidence and interest in physics. The aim is to create enthusiastic role models with first-hand experience of science who can inspire their peers back hom...

  8. Tool-Body Assimilation Model Based on Body Babbling and Neurodynamical System

    Directory of Open Access Journals (Sweden)

    Kuniyuki Takahashi

    2015-01-01

    Full Text Available We propose the new method of tool use with a tool-body assimilation model based on body babbling and a neurodynamical system for robots to use tools. Almost all existing studies for robots to use tools require predetermined motions and tool features; the motion patterns are limited and the robots cannot use novel tools. Other studies fully search for all available parameters for novel tools, but this leads to massive amounts of calculations. To solve these problems, we took the following approach: we used a humanoid robot model to generate random motions based on human body babbling. These rich motion experiences were used to train recurrent and deep neural networks for modeling a body image. Tool features were self-organized in parametric bias, modulating the body image according to the tool in use. Finally, we designed a neural network for the robot to generate motion only from the target image. Experiments were conducted with multiple tools for manipulating a cylindrical target object. The results show that the tool-body assimilation model is capable of motion generation.

  9. Using urban forest assessment tools to model bird habitat potential

    Science.gov (United States)

    Susannah B. Lerman; Keith H. Nislow; David J. Nowak; Stephen DeStefano; David I. King; D. Todd. Jones-Farrand

    2014-01-01

    The alteration of forest cover and the replacement of native vegetation with buildings, roads, exotic vegetation, and other urban features pose one of the greatest threats to global biodiversity. As more land becomes slated for urban development, identifying effective urban forest wildlife management tools becomes paramount to ensure the urban forest provides habitat...

  10. Scenario Evaluator for Electrical Resistivity Survey Pre-modeling Tool

    Science.gov (United States)

    Geophysical tools have much to offer users in environmental, water resource, and geotechnical fields; however, techniques such as electrical resistivity imaging (ERI) are often oversold and/or overinterpreted due to a lack of understanding of the limitations of the techniques, su...

  11. MOVES - A tool for Modeling and Verification of Embedded Systems

    DEFF Research Database (Denmark)

    Ellebæk, Jens; Knudsen, Kristian S.; Brekling, Aske Wiid

    2007-01-01

    We demonstrate MOVES, a tool which allows designers of embedded systems to explore possible implementations early in the design process. The demonstration of MOVES will show how designers can explore different designs by changing the mapping of tasks on processing elements, the number and/or spee...... of processing elements, the size of local memories, and the operating systems (scheduling algorithm)....

  12. An Energy Systems Modelling Tool for the Social Simulation Community

    NARCIS (Netherlands)

    Bollinger, L. Andrew; van Blijswijk, Martti J.; Dijkema, Gerard P.J.; Nikolic, Igor

    2016-01-01

    The growing importance of links between the social and technical dimensions of the electricity infrastructure mean that many research problems cannot be effectively addressed without joint consideration of social and technical dynamics. This paper motivates the need for and introduces a tool to

  13. Advanced Computing Tools and Models for Accelerator Physics

    Energy Technology Data Exchange (ETDEWEB)

    Ryne, Robert; Ryne, Robert D.

    2008-06-11

    This paper is based on a transcript of my EPAC'08 presentation on advanced computing tools for accelerator physics. Following an introduction I present several examples, provide a history of the development of beam dynamics capabilities, and conclude with thoughts on the future of large scale computing in accelerator physics.

  14. Advanced Computing Tools and Models for Accelerator Physics

    International Nuclear Information System (INIS)

    Ryne, Robert; Ryne, Robert D.

    2008-01-01

    This paper is based on a transcript of my EPAC'08 presentation on advanced computing tools for accelerator physics. Following an introduction I present several examples, provide a history of the development of beam dynamics capabilities, and conclude with thoughts on the future of large scale computing in accelerator physics

  15. GEOQUIMICO : an interactive tool for comparing sorption conceptual models (surface complexation modeling versus K[D])

    International Nuclear Information System (INIS)

    Hammond, Glenn E.; Cygan, Randall Timothy

    2007-01-01

    Within reactive geochemical transport, several conceptual models exist for simulating sorption processes in the subsurface. Historically, the K D approach has been the method of choice due to ease of implementation within a reactive transport model and straightforward comparison with experimental data. However, for modeling complex sorption phenomenon (e.g. sorption of radionuclides onto mineral surfaces), this approach does not systematically account for variations in location, time, or chemical conditions, and more sophisticated methods such as a surface complexation model (SCM) must be utilized. It is critical to determine which conceptual model to use; that is, when the material variation becomes important to regulatory decisions. The geochemical transport tool GEOQUIMICO has been developed to assist in this decision-making process. GEOQUIMICO provides a user-friendly framework for comparing the accuracy and performance of sorption conceptual models. The model currently supports the K D and SCM conceptual models. The code is written in the object-oriented Java programming language to facilitate model development and improve code portability. The basic theory underlying geochemical transport and the sorption conceptual models noted above is presented in this report. Explanations are provided of how these physicochemical processes are instrumented in GEOQUIMICO and a brief verification study comparing GEOQUIMICO results to data found in the literature is given

  16. Software tools for object-based audio production using the Audio Definition Model

    OpenAIRE

    Matthias , Geier; Carpentier , Thibaut; Noisternig , Markus; Warusfel , Olivier

    2017-01-01

    International audience; We present a publicly available set of tools for the integration of the Audio Definition Model (ADM) in production workflows. ADM is an open metadata model for the description of channel-, scene-, and object-based media within a Broadcast Wave Format (BWF) container. The software tools were developed within the European research project ORPHEUS (https://orpheus-audio.eu/) that aims at developing new end-to-end object-based media chains for broadcast. These tools allow ...

  17. A unified tool for performance modelling and prediction

    International Nuclear Information System (INIS)

    Gilmore, Stephen; Kloul, Leila

    2005-01-01

    We describe a novel performability modelling approach, which facilitates the efficient solution of performance models extracted from high-level descriptions of systems. The notation which we use for our high-level designs is the Unified Modelling Language (UML) graphical modelling language. The technology which provides the efficient representation capability for the underlying performance model is the multi-terminal binary decision diagram (MTBDD)-based PRISM probabilistic model checker. The UML models are compiled through an intermediate language, the stochastic process algebra PEPA, before translation into MTBDDs for solution. We illustrate our approach on a real-world analysis problem from the domain of mobile telephony

  18. Implementing the Mother-Baby Model of Nursing Care Using Models and Quality Improvement Tools.

    Science.gov (United States)

    Brockman, Vicki

    As family-centered care has become the expected standard, many facilities follow the mother-baby model, in which care is provided to both a woman and her newborn in the same room by the same nurse. My facility employed a traditional model of nursing care, which was not evidence-based or financially sustainable. After implementing the mother-baby model, we experienced an increase in exclusive breastfeeding rates at hospital discharge, increased patient satisfaction, improved staff productivity and decreased salary costs, all while the number of births increased. Our change was successful because it was guided by the use of quality improvement tools, change theory and evidence-based practice models. © 2015 AWHONN.

  19. influence.ME: tools for detecting influential data in mixed effects models

    NARCIS (Netherlands)

    Nieuwenhuis, Rense; te Grotenhuis, M.; Pelzer, B.

    2012-01-01

    influence.ME provides tools for detecting influential data in mixed effects models. The application of these models has become common practice, but the development of diagnostic tools has lagged behind. influence.ME calculates standardized measures of influential data for the point estimates of

  20. A Decision Support Model and Tool to Assist Financial Decision-Making in Universities

    Science.gov (United States)

    Bhayat, Imtiaz; Manuguerra, Maurizio; Baldock, Clive

    2015-01-01

    In this paper, a model and tool is proposed to assist universities and other mission-based organisations to ascertain systematically the optimal portfolio of projects, in any year, meeting the organisations risk tolerances and available funds. The model and tool presented build on previous work on university operations and decision support systems…

  1. Formal Development of a Tool for Automated Modelling and Verification of Relay Interlocking Systems

    DEFF Research Database (Denmark)

    Haxthausen, Anne Elisabeth; Kjær, Andreas A.; Le Bliguet, Marie

    2011-01-01

    This paper describes a tool for formal modelling relay interlocking systems and explains how it has been stepwise, formally developed using the RAISE method. The developed tool takes the circuit diagrams of a relay interlocking system as input and gives as result a state transition system modelling...

  2. VisitSense: Sensing Place Visit Patterns from Ambient Radio on Smartphones for Targeted Mobile Ads in Shopping Malls.

    Science.gov (United States)

    Kim, Byoungjip; Kang, Seungwoo; Ha, Jin-Young; Song, Junehwa

    2015-07-16

    In this paper, we introduce a novel smartphone framework called VisitSense that automatically detects and predicts a smartphone user's place visits from ambient radio to enable behavioral targeting for mobile ads in large shopping malls. VisitSense enables mobile app developers to adopt visit-pattern-aware mobile advertising for shopping mall visitors in their apps. It also benefits mobile users by allowing them to receive highly relevant mobile ads that are aware of their place visit patterns in shopping malls. To achieve the goal, VisitSense employs accurate visit detection and prediction methods. For accurate visit detection, we develop a change-based detection method to take into consideration the stability change of ambient radio and the mobility change of users. It performs well in large shopping malls where ambient radio is quite noisy and causes existing algorithms to easily fail. In addition, we proposed a causality-based visit prediction model to capture the causality in the sequential visit patterns for effective prediction. We have developed a VisitSense prototype system, and a visit-pattern-aware mobile advertising application that is based on it. Furthermore, we deploy the system in the COEX Mall, one of the largest shopping malls in Korea, and conduct diverse experiments to show the effectiveness of VisitSense.

  3. VisitSense: Sensing Place Visit Patterns from Ambient Radio on Smartphones for Targeted Mobile Ads in Shopping Malls

    Directory of Open Access Journals (Sweden)

    Byoungjip Kim

    2015-07-01

    Full Text Available In this paper, we introduce a novel smartphone framework called VisitSense that automatically detects and predicts a smartphone user’s place visits from ambient radio to enable behavioral targeting for mobile ads in large shopping malls. VisitSense enables mobile app developers to adopt visit-pattern-aware mobile advertising for shopping mall visitors in their apps. It also benefits mobile users by allowing them to receive highly relevant mobile ads that are aware of their place visit patterns in shopping malls. To achieve the goal, VisitSense employs accurate visit detection and prediction methods. For accurate visit detection, we develop a change-based detection method to take into consideration the stability change of ambient radio and the mobility change of users. It performs well in large shopping malls where ambient radio is quite noisy and causes existing algorithms to easily fail. In addition, we proposed a causality-based visit prediction model to capture the causality in the sequential visit patterns for effective prediction. We have developed a VisitSense prototype system, and a visit-pattern-aware mobile advertising application that is based on it. Furthermore, we deploy the system in the COEX Mall, one of the largest shopping malls in Korea, and conduct diverse experiments to show the effectiveness of VisitSense.

  4. Using the Saliency-Based Model to Design a Digital Archaeological Game to Motivate Players' Intention to Visit the Digital Archives of Taiwan's Natural Science Museum

    Science.gov (United States)

    Hong, Jon-Chao; Hwang, Ming-Yueh; Chen, Yu-Ju; Lin, Pei-Hsin; Huang, Yao-Tien; Cheng, Hao-Yueh; Lee, Chih-Chin

    2013-01-01

    Museums in Taiwan have developed various digital archives, but few people have visited these digital archives. Therefore, this study designed a digital archaeology game for high school students to play. Based on the concept of "learning for playing" (i.e., players who want to win will study more), the digital archaeology game contest…

  5. Philippe Busquin Visits Paranal

    Science.gov (United States)

    2003-07-01

    The European Commissioner for Research, Mr. Philippe Busquin, who is currently visiting the Republic of Chile, arrived at the ESO Paranal Observatory on Tuesday afternoon, July 29, 2003. The Commissioner was accompanied, among others, by the EU Ambassador to Chile, Mr. Wolfgang Plasa, and Ms. Christina Lazo, Executive Director of the Chilean Science and Technology Agency (CONICYT). The distinguished visitors were able to acquaint themselves with one of the foremost European research facilities, the ESO Very Large Telescope (VLT), during an overnight stay at this remote site. Arriving after the long flight from Europe in Antofagasta, capital of the II Chilean region, the Commissioner continued along the desert road to Paranal, some 130 km south of Antofasta and site of the world's largest and most efficient optical/infrared astronomical telescope facility. The high guests were welcomed by the ESO Director General, Dr. Catherine Cesarsky, and the ESO Representative in Chile, Mr. Daniel Hofstadt, as well as ESO staff members of many nationalities. The visitors were shown the various high-tech installations at the observatory, including many of the large, front-line VLT astronomical instruments that have been built in collaboration between ESO and European research institutes. Explanations were given by ESO astronomers and engineers and the Commissioner gained a good impression of the wide range of exciting research programmes that are carried out with the VLT. Having enjoyed the spectacular sunset over the Pacific Ocean from the KUEYEN telescope, one of the four 8.2-m telescopes that form the VLT array, the Commissioner visited the VLT Control Room from where the four 8.2-m Unit Telescopes and the VLT Interferometer (VLTI) are operated. Here, the Commissioner was invited to follow an observing sequence at the console of the KUEYEN telescope. " This is a tribute to the human genius ", commented the Commissioner. " It is an extraordinary contribution to the development

  6. Requirements for UML and OWL Integration Tool for User Data Consistency Modeling and Testing

    DEFF Research Database (Denmark)

    Nytun, J. P.; Jensen, Christian Søndergaard; Oleshchuk, V. A.

    2003-01-01

    The amount of data available on the Internet is continuously increasing, consequentially there is a growing need for tools that help to analyse the data. Testing of consistency among data received from different sources is made difficult by the number of different languages and schemas being used....... In this paper we analyze requirements for a tool that support integration of UML models and ontologies written in languages like the W3C Web Ontology Language (OWL). The tool can be used in the following way: after loading two legacy models into the tool, the tool user connects them by inserting modeling......, an important part of this technique is attaching of OCL expressions to special boolean class attributes that we call consistency attributes. The resulting integration model can be used for automatic consistency testing of two instances of the legacy models by automatically instantiate the whole integration...

  7. Solid-state-drives (SSDs) modeling simulation tools & strategies

    CERN Document Server

    2017-01-01

    This book introduces simulation tools and strategies for complex systems of solid-state-drives (SSDs) which consist of a flash multi-core microcontroller plus NAND flash memories. It provides a broad overview of the most popular simulation tools, with special focus on open source solutions. VSSIM, NANDFlashSim and DiskSim are benchmarked against performances of real SSDs under different traffic workloads. PROs and CONs of each simulator are analyzed, and it is clearly indicated which kind of answers each of them can give and at a what price. It is explained, that speed and precision do not go hand in hand, and it is important to understand when to simulate what, and with which tool. Being able to simulate SSD’s performances is mandatory to meet time-to-market, together with product cost and quality. Over the last few years the authors developed an advanced simulator named “SSDExplorer” which has been used to evaluate multiple phenomena with great accuracy, from QoS (Quality Of Service) to Read Retry, fr...

  8. Tools and data for the geochemical modeling. Thermodynamic data for sulfur species and background salts and tools for the uncertainty analysis; WEDA. Werkzeuge und Daten fuer die Geochemische Modellierung. Thermodynamische Daten fuer Schwefelspezies und Hintergrundsalze sowie Tools zur Unsicherheitsanalyse

    Energy Technology Data Exchange (ETDEWEB)

    Hagemann, Sven; Schoenwiese, Dagmar; Scharge, Tina

    2015-07-15

    The report on tools and data for the geochemical modeling covers the following issues: experimental methods and theoretical models, design of a thermodynamic model for reduced sulfur species, thermodynamic models for background salts, tools for the uncertainty and sensitivity analyses of geochemical equilibrium modeling.

  9. Prediction models : the right tool for the right problem

    NARCIS (Netherlands)

    Kappen, Teus H.; Peelen, Linda M.

    2016-01-01

    PURPOSE OF REVIEW: Perioperative prediction models can help to improve personalized patient care by providing individual risk predictions to both patients and providers. However, the scientific literature on prediction model development and validation can be quite technical and challenging to

  10. The Quantum Atomic Model "Electronium": A Successful Teaching Tool.

    Science.gov (United States)

    Budde, Marion; Niedderer, Hans; Scott, Philip; Leach, John

    2002-01-01

    Focuses on the quantum atomic model Electronium. Outlines the Bremen teaching approach in which this model is used, and analyzes the learning of two students as they progress through the teaching unit. (Author/MM)

  11. Parameter Extraction for PSpice Models by means of an Automated Optimization Tool – An IGBT model Study Case

    DEFF Research Database (Denmark)

    Suárez, Carlos Gómez; Reigosa, Paula Diaz; Iannuzzo, Francesco

    2016-01-01

    An original tool for parameter extraction of PSpice models has been released, enabling a simple parameter identification. A physics-based IGBT model is used to demonstrate that the optimization tool is capable of generating a set of parameters which predicts the steady-state and switching behavior...

  12. Claude Nicollier visits CERN

    CERN Multimedia

    Jordan Juras

    2011-01-01

    Switzerland’s first astronaut, Claude Nicollier, paid a short visit to CERN on Thursday 22 June, to lead a colloquium about the Hubble Space Telescope. With the Shuttle programme soon coming to an end. Nicollier recalled the enriching experience he had at NASA and gave us a preview of the futuristic project that he is currently involved in.   The colloquium, Hubble, the astronomer, the telescope, the results, surveyed the three themes suggested by its title: the fundamental discoveries made by Edwin Hubble in the early 20th century, servicing the telescope in orbit and the main results recently obtained relating to the structure and history of our universe. Nicollier spoke from the rare perspective of an astronaut who has had real contact with Hubble in orbit and included some of his own photography from the missions. Nicollier has an intimate relationship with the telescope that very few astrophysicists share. “I had the opportunity to service Hubble twice, both from the comf...

  13. Commissaire Moulin visits CERN

    CERN Multimedia

    CERN Bulletin

    2014-01-01

    The French actor and film-maker Yves Rénier was shown around the Laboratory on Friday 6 June by friends at CERN.   Yves Rénier at LEIR. (Photo: Ludwig Pregernig) A keen diver and star of the long-running French television police drama Commissaire Moulin, Yves Rénier took advantage of a stopover in Geneva on his way to the Red Sea to meet up with his friends from the CERN Diving Club, who were only too pleased to take him on a tour of the Laboratory. In the morning, Yves Rénier visited the CERN Control Centre (CCC), Linac2 and LEIR. After lunch at the brasserie in Restaurant No. 2, the actor continued his tour with the CERN Computer Centre, the SM18 superconducting magnet test facility, and lastly the ATLAS experiment. “Thank you so much for showing me around and introducing me to a world I knew so little about,” confided Yves Rénier. “It’s fascinating to see so many scientists of different cultures,...

  14. Spaceflight participant visits CERN!

    CERN Multimedia

    Kathryn Coldham

    2016-01-01

    On 15 July, CERN welcomed spaceflight participant Anousheh Ansari.   Anousheh Ansari’s grin stretches from ear to ear, during an intriguing conversation with Nobel laureate Samuel C.C. Ting at AMS POCC. (Image: Maximilien Brice/CERN) Iranian-American Anousheh Ansari was the first-ever female spaceflight participant, spending eight days on the International Space Station (ISS) in 2006. She now has a new addition to her list of extraordinary sights ­– the home of the world’s largest particle accelerator: CERN.   On 15 July, Anousheh Ansari came to CERN and, unsurprisingly, visited the control room of the experiment attached to the ISS: the AMS. At the AMS Payload Operations Control Centre (AMS POCC) on CERN’s Prévessin site, she met the Nobel laureate Samuel Ting, spokesperson of the AMS experiment. Ansari and her accompanying guests were thrilled to expand their knowledge about CERN, its research and its...

  15. A royal visit

    CERN Multimedia

    2009-01-01

    On 19 February Albert II, King of the Belgians, visited CERN. He took a very active interest during his tour of the tunnel and the CMS cavern, in particular the pixel detector, which was made in Belgium. var flash_video_player=get_video_player_path(); insert_player_for_external('Video/Public/Movies/2009/CERN-MOVIE-2009-002/CERN-MOVIE-2009-002-0753-kbps-640x360-25-fps-audio-64-kbps-44-kHz-stereo', 'mms://mediastream.cern.ch/MediaArchive/Video/Public/Movies/2009/CERN-MOVIE-2009-002/CERN-MOVIE-2009-002-Multirate-200-to-753-kbps-640x360-25-fps.wmv', 'false', 533, 300, 'https://mediastream.cern.ch/MediaArchive/Video/Public/Movies/2009/CERN-MOVIE-2009-002/CERN-MOVIE-2009-002-posterframe-640x360-at-10-percent.jpg', '1164771', true, 'Video/Public/Movies/2009/CERN-MOVIE-2009-002/CERN-MOVIE-2009-002-0600-kbps-maxH-360-25-fps-audio-128-kbps-48-kHz-stereo.mp4'); Watch the video! Albert II, King of the Belgians receiving a souvenir from Sergio Bertolucci, Director for Research and...

  16. Analytical and Empirical Modeling of Wear and Forces of CBN Tool in Hard Turning - A Review

    Science.gov (United States)

    Patel, Vallabh Dahyabhai; Gandhi, Anishkumar Hasmukhlal

    2017-08-01

    Machining of steel material having hardness above 45 HRC (Hardness-Rockwell C) is referred as a hard turning. There are numerous models which should be scrutinized and implemented to gain optimum performance of hard turning. Various models in hard turning by cubic boron nitride tool have been reviewed, in attempt to utilize appropriate empirical and analytical models. Validation of steady state flank and crater wear model, Usui's wear model, forces due to oblique cutting theory, extended Lee and Shaffer's force model, chip formation and progressive flank wear have been depicted in this review paper. Effort has been made to understand the relationship between tool wear and tool force based on the different cutting conditions and tool geometries so that appropriate model can be used according to user requirement in hard turning.

  17. Gsflow-py: An integrated hydrologic model development tool

    Science.gov (United States)

    Gardner, M.; Niswonger, R. G.; Morton, C.; Henson, W.; Huntington, J. L.

    2017-12-01

    Integrated hydrologic modeling encompasses a vast number of processes and specifications, variable in time and space, and development of model datasets can be arduous. Model input construction techniques have not been formalized or made easily reproducible. Creating the input files for integrated hydrologic models (IHM) requires complex GIS processing of raster and vector datasets from various sources. Developing stream network topology that is consistent with the model resolution digital elevation model is important for robust simulation of surface water and groundwater exchanges. Distribution of meteorologic parameters over the model domain is difficult in complex terrain at the model resolution scale, but is necessary to drive realistic simulations. Historically, development of input data for IHM models has required extensive GIS and computer programming expertise which has restricted the use of IHMs to research groups with available financial, human, and technical resources. Here we present a series of Python scripts that provide a formalized technique for the parameterization and development of integrated hydrologic model inputs for GSFLOW. With some modifications, this process could be applied to any regular grid hydrologic model. This Python toolkit automates many of the necessary and laborious processes of parameterization, including stream network development and cascade routing, land coverages, and meteorological distribution over the model domain.

  18. Process models as tools in forestry research and management

    Science.gov (United States)

    Kurt Johnsen; Lisa Samuelson; Robert Teskey; Steve McNulty; Tom Fox

    2001-01-01

    Forest process models are mathematical representations of biological systems that incorporate our understanding of physiological and ecological mechanisms into predictive algorithms. These models were originally designed and used for research purposes, but are being developed for use in practical forest management. Process models designed for research...

  19. Tools and methods for evaluating and refining alternative futures for coastal ecosystem management—the Puget Sound Ecosystem Portfolio Model

    Science.gov (United States)

    Byrd, Kristin B.; Kreitler, Jason R.; Labiosa, William B.

    2011-01-01

    The U.S. Geological Survey Puget Sound Ecosystem Portfolio Model (PSEPM) is a decision-support tool that uses scenarios to evaluate where, when, and to what extent future population growth, urban growth, and shoreline development may threaten the Puget Sound nearshore environment. This tool was designed to be used iteratively in a workshop setting in which experts, stakeholders, and decisionmakers discuss consequences to the Puget Sound nearshore within an alternative-futures framework. The PSEPM presents three possible futures of the nearshore by analyzing three growth scenarios developed out to 2060: Status Quo—continuation of current trends; Managed Growth—adoption of an aggressive set of land-use management policies; and Unconstrained Growth—relaxation of land-use restrictions. The PSEPM focuses on nearshore environments associated with barrier and bluff-backed beaches—the most dominant shoreforms in Puget Sound—which represent 50 percent of Puget Sound shorelines by length. This report provides detailed methodologies for development of three submodels within the PSEPM—the Shellfish Pollution Model, the Beach Armoring Index, and the Recreation Visits Model. Results from the PSEPM identify where and when future changes to nearshore ecosystems and ecosystem services will likely occur within the three growth scenarios. Model outputs include maps that highlight shoreline sections where nearshore resources may be at greater risk from upland land-use changes. The background discussed in this report serves to document and supplement model results displayed on the PSEPM Web site located at http://geography.wr.usgs.gov/pugetSound/.

  20. Regional models - Emerging research tools for synoptic meteorologists

    Science.gov (United States)

    Keyser, Daniel; Uccellini, Louis W.

    1987-01-01

    A number of regional-scale numerical weather prediction models are discussed together with their application to the study of the structure and the dynamics of mesoscale phenomena. Consideration is given to investigations of natural phenomena (such as midlatitude cyclones and related baroclinic disturbances; upper-level jet-front systems; surface frontal zones, squall lines, and rain bands; mesoscale convective systems; and severe-storm environments) in which two operational models and four research models are used for regional-model studies. It is shown that these models provide investigators with four-dimensional dynamically consistent data sets to supplement and extend those available from observations.

  1. Analysis of impact of Internet marketing on visits of the Lenovo Blog CZ

    OpenAIRE

    Ruskovská, Petra

    2013-01-01

    The thesis analyses the impact of Internet marketing tools on visits of the Lenovo Blog CZ, the official blog of the computer manufacturer Lenovo. It focuses evolution of visits of the blog over time, on the impact of social networks and Facebook posts paid promotion on visits. Finally, it observes to what extent the Internet marketing tools impact overall visits of the blog over the observed time.

  2. Enhancing the tourist attraction visiting process with gamification: key concepts

    Directory of Open Access Journals (Sweden)

    Swacha Jakub

    2017-12-01

    Full Text Available The main purpose of this paper is to describe key gamification techniques that can be applied to enhance the tourist attraction visiting process. The paper is based on the methodology of design patterns; particularly it adopts the definition and classification schemes originally proposed and developed in the context of gamification of work to specify gamification techniques related to various aspects of the tourist attraction visiting process. The main result is the selection of twelve gamification techniques for enhancing the tourist attraction visiting process, four for each of the three phases of the visiting process (before, during and after the visit. The paper shows that gamification techniques can be applied to enhance the tourist attraction visiting process. Implementation of the proposed gamification techniques is supposed to both improve visitor experience and give the tourist attraction managers a tool for boosting interest in less popular exhibitions and events.

  3. DiVinE-CUDA - A Tool for GPU Accelerated LTL Model Checking

    Directory of Open Access Journals (Sweden)

    Jiří Barnat

    2009-12-01

    Full Text Available In this paper we present a tool that performs CUDA accelerated LTL Model Checking. The tool exploits parallel algorithm MAP adjusted to the NVIDIA CUDA architecture in order to efficiently detect the presence of accepting cycles in a directed graph. Accepting cycle detection is the core algorithmic procedure in automata-based LTL Model Checking. We demonstrate that the tool outperforms non-accelerated version of the algorithm and we discuss where the limits of the tool are and what we intend to do in the future to avoid them.

  4. WeedML: a Tool for Collaborative Weed Demographic Modeling

    OpenAIRE

    Holst, Niels

    2010-01-01

    WeedML is a proposed standard to formulate models of weed demography, or maybe even complex models in general, that are both transparent and straightforward to re-use as building blocks for new models. The paper describes the design and thoughts behind WeedML which relies on XML and object-oriented systems development. Proof-of-concept software is provided as open-source C++ code and executables that can be downloaded freely.

  5. Ecological Modeling: A Tool for the Urban Educator.

    Science.gov (United States)

    Spikes, Frank

    Ecological modeling is a holistic systems level approach to situational analysis which can be used in planning activities for lifelong learning in an urban setting. It is the purpose of this essay to present a discussion of ecological modeling in its pure or conceptual sense and concomitantly to translate this analysis into an effective and…

  6. simulation tools for electrical machines modelling: teaching and ...

    African Journals Online (AJOL)

    Dr Obe

    used to model non-linearites in synchronous machine. The machine is modeled in ... Electrical machines who are involved in engineering undergraduate education will find the script very useful in terms of ... Keywords: Asynchronous machine; MATLAB scripts; engineering education; skin-effect; saturation effect; dynamic ...

  7. KENO3D Visualization Tool for KENO V.a and KENO-VI Geometry Models

    International Nuclear Information System (INIS)

    Horwedel, J.E.; Bowman, S.M.

    2000-01-01

    Criticality safety analyses often require detailed modeling of complex geometries. Effective visualization tools can enhance checking the accuracy of these models. This report describes the KENO3D visualization tool developed at the Oak Ridge National Laboratory (ORNL) to provide visualization of KENO V.a and KENO-VI criticality safety models. The development of KENO3D is part of the current efforts to enhance the SCALE (Standardized Computer Analyses for Licensing Evaluations) computer software system

  8. Steam Generator Analysis Tools and Modeling of Degradation Mechanisms

    International Nuclear Information System (INIS)

    Yetisir, M.; Pietralik, J.; Tapping, R.L.

    2004-01-01

    The degradation of steam generators (SGs) has a significant effect on nuclear heat transport system effectiveness and the lifetime and overall efficiency of a nuclear power plant. Hence, quantification of the effects of degradation mechanisms is an integral part of a SG degradation management strategy. Numerical analysis tools such as THIRST, a 3-dimensional (3D) thermal hydraulics code for recirculating SGs; SLUDGE, a 3D sludge prediction code; CHECWORKS a flow-accelerated corrosion prediction code for nuclear piping, PIPO-FE, a SG tube vibration code; and VIBIC and H3DMAP, 3D non-linear finite-element codes to predict SG tube fretting wear can be used to assess the impacts of various maintenance activities on SG thermal performance. These tools are also found to be invaluable at the design stage to influence the design by determining margins or by helping the designers minimize or avoid known degradation mechanisms. In this paper, the aforementioned numerical tools and their application to degradation mechanisms in CANDU recirculating SGs are described. In addition, the following degradation mechanisms are identified and their effect on SG thermal efficiency and lifetime are quantified: primary-side fouling, secondary-side fouling, fretting wear, and flow-accelerated corrosion (FAC). Primary-side tube inner diameter fouling has been a major contributor to SG thermal degradation. Using the results of thermalhydraulic analysis and field data, fouling margins are calculated. Individual effects of primary- and secondary-side fouling are separated through analyses, which allow station operators to decide what type of maintenance activity to perform and when to perform the maintenance activity. Prediction of the fretting-wear rate of tubes allows designers to decide on the number and locations of support plates and U-bend supports. The prediction of FAC rates for SG internals allows designers to select proper materials, and allows operators to adjust the SG maintenance

  9. An integrated user-friendly ArcMAP tool for bivariate statistical modeling in geoscience applications

    Science.gov (United States)

    Jebur, M. N.; Pradhan, B.; Shafri, H. Z. M.; Yusof, Z.; Tehrany, M. S.

    2014-10-01

    Modeling and classification difficulties are fundamental issues in natural hazard assessment. A geographic information system (GIS) is a domain that requires users to use various tools to perform different types of spatial modeling. Bivariate statistical analysis (BSA) assists in hazard modeling. To perform this analysis, several calculations are required and the user has to transfer data from one format to another. Most researchers perform these calculations manually by using Microsoft Excel or other programs. This process is time consuming and carries a degree of uncertainty. The lack of proper tools to implement BSA in a GIS environment prompted this study. In this paper, a user-friendly tool, BSM (bivariate statistical modeler), for BSA technique is proposed. Three popular BSA techniques such as frequency ratio, weights-of-evidence, and evidential belief function models are applied in the newly proposed ArcMAP tool. This tool is programmed in Python and is created by a simple graphical user interface, which facilitates the improvement of model performance. The proposed tool implements BSA automatically, thus allowing numerous variables to be examined. To validate the capability and accuracy of this program, a pilot test area in Malaysia is selected and all three models are tested by using the proposed program. Area under curve is used to measure the success rate and prediction rate. Results demonstrate that the proposed program executes BSA with reasonable accuracy. The proposed BSA tool can be used in numerous applications, such as natural hazard, mineral potential, hydrological, and other engineering and environmental applications.

  10. Towards diagnostic tools for analysing Swarm data through model retrievals

    DEFF Research Database (Denmark)

    Kotsiaros, Stavros; Plank, Gernot; Haagmans, R.

    The objective of the Swarm mission is to provide the best ever survey of the geomagnetic field and its temporal dependency, and to gain new insights into improving our knowledge of the Earth’s interior and climate. The Swarm concept consists of a constellation of three satellites in three different...... polar orbits between 300 and 550 km altitude. Goal of the current study is to build tools and to analyze datasets, in order to allow a fast diagnosis of the Swarm system performance in orbit during the commission phase and operations of the spacecraft. The effects on the reconstruction of the magnetic...... to test the influence of ionospheric residual signal or the impact of data selection on the lithospheric retrieval. Initially, the study considers one satellite and emphasises on the lithospheric field reconstruction, but in a second step it is extended to a realistic Swarm constellation of three...

  11. Econometric Model – A Tool in Financial Management

    Directory of Open Access Journals (Sweden)

    Riana Iren RADU

    2011-06-01

    Full Text Available The economic situation in Romania requires from the trader a rigorous analysis of vulnerabilities and opportunities offered by the external environment and a careful analysis of internal environmental conditions in which the entity operates. In this context particular attention is paid to indicators presented in the financial statements. Many times they are a model for economic forecasts, future plans, basic business and businesses that use them with a good forecasting activity. In this paper we propose to analyze the comparative evolution of the main financial indicators highlighted in financial statements (profit and loss through a multi-equation econometric model, namely dynamic Keynesian model.

  12. Tactical Medical Logistics Planning Tool: Modeling Operational Risk Assessment

    National Research Council Canada - National Science Library

    Konoske, Paula

    2004-01-01

    ...) models the patient flow from the point of injury through more definitive care, and (2) supports operations research and systems analysis studies, operational risk assessment, and field medical services planning. TML+...

  13. An Introduction to Model Selection: Tools and Algorithms

    Directory of Open Access Journals (Sweden)

    Sébastien Hélie

    2006-03-01

    Full Text Available Model selection is a complicated matter in science, and psychology is no exception. In particular, the high variance in the object of study (i.e., humans prevents the use of Popper’s falsification principle (which is the norm in other sciences. Therefore, the desirability of quantitative psychological models must be assessed by measuring the capacity of the model to fit empirical data. In the present paper, an error measure (likelihood, as well as five methods to compare model fits (the likelihood ratio test, Akaike’s information criterion, the Bayesian information criterion, bootstrapping and cross-validation, are presented. The use of each method is illustrated by an example, and the advantages and weaknesses of each method are also discussed.

  14. Modeling and Calculator Tools for State and Local Transportation Resources

    Science.gov (United States)

    Air quality models, calculators, guidance and strategies are offered for estimating and projecting vehicle air pollution, including ozone or smog-forming pollutants, particulate matter and other emissions that pose public health and air quality concerns.

  15. Integration of Advanced Statistical Analysis Tools and Geophysical Modeling

    Science.gov (United States)

    2012-08-01

    1.56 0.48 Beale: MetalMapper Cued: Beale_MMstat Target: 477 Cell 202 of 1547 (SOI, 2OI) Model 1 of 3 (Inv #1 / 2 = SOI: 1 / 1) Tag...Statistical classification of buried unexploded ordnance using nonparametric prior models. IEEE Trans. Geosci. Remote Sensing, 45: 2794–2806, 2007. T...Bell and B. Barrow. Subsurface discrimination using electromagnetic induction sensors. IEEE Trans. Geosci. Remote Sensing, 39:1286–1293, 2001. S. D

  16. Overview of software tools for modeling single event upsets in microelectronic devices

    Directory of Open Access Journals (Sweden)

    Anatoly Alexandrovich Smolin

    2016-10-01

    Full Text Available The paper presents the results of the analysis of existing simulation tools for evaluation of single event upset susceptibility of microelectronic devices with deep sub-micron feature sizes. This simulation tools are meant to replace obsolete approach to single event rate estimation based on integral rectangular parallelepiped model. Three main approaches implemented in simulation tools are considered: combined use of particle transport codes and rectangular parallelepiped model, combined use of particle transport codes and analytical models of charge collection and circuit simulators, and combined use of particle transport codes and TCAD simulators.

  17. Monte Carlo tools for Beyond the Standard Model Physics , April 14-16

    DEFF Research Database (Denmark)

    Badger...[], Simon; Christensen, Christian Holm; Dalsgaard, Hans Hjersing

    2011-01-01

    This workshop aims to gather together theorists and experimentalists interested in developing and using Monte Carlo tools for Beyond the Standard Model Physics in an attempt to be prepared for the analysis of data focusing on the Large Hadron Collider. Since a large number of excellent tools....... To identify promising models (or processes) for which the tools have not yet been constructed and start filling up these gaps. To propose ways to streamline the process of going from models to events, i.e. to make the process more user-friendly so that more people can get involved and perform serious collider...

  18. SARAH 4: A tool for (not only SUSY) model builders

    Science.gov (United States)

    Staub, Florian

    2014-06-01

    We present the new version of the Mathematica package SARAH which provides the same features for a non-supersymmetric model as previous versions for supersymmetric models. This includes an easy and straightforward definition of the model, the calculation of all vertices, mass matrices, tadpole equations, and self-energies. Also the two-loop renormalization group equations for a general gauge theory are now included and have been validated with the independent Python code PyR@TE. Model files for FeynArts, CalcHep/CompHep, WHIZARD and in the UFO format can be written, and source code for SPheno for the calculation of the mass spectrum, a set of precision observables, and the decay widths and branching ratios of all states can be generated. Furthermore, the new version includes routines to output model files for Vevacious for both, supersymmetric and non-supersymmetric, models. Global symmetries are also supported with this version and by linking Susyno the handling of Lie groups has been improved and extended.

  19. Bayesian Network Webserver: a comprehensive tool for biological network modeling.

    Science.gov (United States)

    Ziebarth, Jesse D; Bhattacharya, Anindya; Cui, Yan

    2013-11-01

    The Bayesian Network Webserver (BNW) is a platform for comprehensive network modeling of systems genetics and other biological datasets. It allows users to quickly and seamlessly upload a dataset, learn the structure of the network model that best explains the data and use the model to understand relationships between network variables. Many datasets, including those used to create genetic network models, contain both discrete (e.g. genotype) and continuous (e.g. gene expression traits) variables, and BNW allows for modeling hybrid datasets. Users of BNW can incorporate prior knowledge during structure learning through an easy-to-use structural constraint interface. After structure learning, users are immediately presented with an interactive network model, which can be used to make testable hypotheses about network relationships. BNW, including a downloadable structure learning package, is available at http://compbio.uthsc.edu/BNW. (The BNW interface for adding structural constraints uses HTML5 features that are not supported by current version of Internet Explorer. We suggest using other browsers (e.g. Google Chrome or Mozilla Firefox) when accessing BNW). ycui2@uthsc.edu. Supplementary data are available at Bioinformatics online.

  20. Forest fire forecasting tool for air quality modelling systems

    Energy Technology Data Exchange (ETDEWEB)

    San Jose, R.; Perez, J.L.; Perez, L.; Gonzalez, R.M.; Pecci, J.; Palacios, M.

    2015-07-01

    Adverse effects of smoke on air quality are of great concern; however, even today the estimates of atmospheric fire emissions are a key issue. It is necessary to implement systems for predicting smoke into an air quality modelling system, and in this work a first attempt towards creating a system of this type is presented. Wildland fire spread and behavior are complex Phenomena due to both the number of involved physic-chemical factors, and the nonlinear relationship between variables. WRF-Fire was employed to simulate spread and behavior of some real fires occurred in South-East of Spain and North of Portugal. The use of fire behavior models requires the availability of high resolution environmental and fuel data. A new custom fuel moisture content model has been developed. The new module allows each time step to calculate the fuel moisture content of the dead fuels and live fuels. The results confirm that the use of accurate meteorological data and a custom fuel moisture content model is crucial to obtain precise simulations of fire behavior. To simulate air pollution over Europe, we use the regional meteorological-chemistry transport model WRF-Chem. In this contribution, we show the impact of using two different fire emissions inventories (FINN and IS4FIRES) and how the coupled WRF-FireChem model improves the results of the forest fire emissions and smoke concentrations. The impact of the forest fire emissions on concentrations is evident, and it is quite clear from these simulations that the choice of emission inventory is very important. We conclude that using the WRF-fire behavior model produces better results than using forest fire emission inventories although the requested computational power is much higher. (Author)

  1. Forest fire forecasting tool for air quality modelling systems

    International Nuclear Information System (INIS)

    San Jose, R.; Perez, J.L.; Perez, L.; Gonzalez, R.M.; Pecci, J.; Palacios, M.

    2015-01-01

    Adverse effects of smoke on air quality are of great concern; however, even today the estimates of atmospheric fire emissions are a key issue. It is necessary to implement systems for predicting smoke into an air quality modelling system, and in this work a first attempt towards creating a system of this type is presented. Wildland fire spread and behavior are complex Phenomena due to both the number of involved physic-chemical factors, and the nonlinear relationship between variables. WRF-Fire was employed to simulate spread and behavior of some real fires occurred in South-East of Spain and North of Portugal. The use of fire behavior models requires the availability of high resolution environmental and fuel data. A new custom fuel moisture content model has been developed. The new module allows each time step to calculate the fuel moisture content of the dead fuels and live fuels. The results confirm that the use of accurate meteorological data and a custom fuel moisture content model is crucial to obtain precise simulations of fire behavior. To simulate air pollution over Europe, we use the regional meteorological-chemistry transport model WRF-Chem. In this contribution, we show the impact of using two different fire emissions inventories (FINN and IS4FIRES) and how the coupled WRF-FireChem model improves the results of the forest fire emissions and smoke concentrations. The impact of the forest fire emissions on concentrations is evident, and it is quite clear from these simulations that the choice of emission inventory is very important. We conclude that using the WRF-fire behavior model produces better results than using forest fire emission inventories although the requested computational power is much higher. (Author)

  2. Forest fire forecasting tool for air quality modelling systems

    International Nuclear Information System (INIS)

    San Jose, R.; Perez, J. L.; Perez, L.; Gonzalez, R. M.; Pecci, J.; Palacios, M.

    2015-01-01

    Adverse effects of smoke on air quality are of great concern; however, even today the estimates of atmospheric fire emissions are a key issue. It is necessary to implement systems for predicting smoke into an air quality modelling system, and in this work a first attempt towards creating a system of this type is presented. Wild land fire spread and behavior are complex phenomena due to both the number of involved physic-chemical factors, and the nonlinear relationship between variables. WRF-Fire was employed to simulate spread and behavior of some real fires occurred in South-East of Spain and North of Portugal. The use of fire behavior models requires the availability of high resolution environmental and fuel data. A new custom fuel moisture content model has been developed. The new module allows each time step to calculate the fuel moisture content of the dead fuels and live fuels. The results confirm that the use of accurate meteorological data and a custom fuel moisture content model is crucial to obtain precise simulations of fire behavior. To simulate air pollution over Europe, we use the regional meteorological-chemistry transport model WRF-Chem. In this contribution, we show the impact of using two different fire emissions inventories (FINN and IS4FIRES) and how the coupled WRF-Fire- Chem model improves the results of the forest fire emissions and smoke concentrations. The impact of the forest fire emissions on concentrations is evident, and it is quite clear from these simulations that the choice of emission inventory is very important. We conclude that using the WRF-fire behavior model produces better results than using forest fire emission inventories although the requested computational power is much higher. (Author)

  3. Forest fire forecasting tool for air quality modelling systems

    Energy Technology Data Exchange (ETDEWEB)

    San Jose, R.; Perez, J. L.; Perez, L.; Gonzalez, R. M.; Pecci, J.; Palacios, M.

    2015-07-01

    Adverse effects of smoke on air quality are of great concern; however, even today the estimates of atmospheric fire emissions are a key issue. It is necessary to implement systems for predicting smoke into an air quality modelling system, and in this work a first attempt towards creating a system of this type is presented. Wild land fire spread and behavior are complex phenomena due to both the number of involved physic-chemical factors, and the nonlinear relationship between variables. WRF-Fire was employed to simulate spread and behavior of some real fires occurred in South-East of Spain and North of Portugal. The use of fire behavior models requires the availability of high resolution environmental and fuel data. A new custom fuel moisture content model has been developed. The new module allows each time step to calculate the fuel moisture content of the dead fuels and live fuels. The results confirm that the use of accurate meteorological data and a custom fuel moisture content model is crucial to obtain precise simulations of fire behavior. To simulate air pollution over Europe, we use the regional meteorological-chemistry transport model WRF-Chem. In this contribution, we show the impact of using two different fire emissions inventories (FINN and IS4FIRES) and how the coupled WRF-Fire- Chem model improves the results of the forest fire emissions and smoke concentrations. The impact of the forest fire emissions on concentrations is evident, and it is quite clear from these simulations that the choice of emission inventory is very important. We conclude that using the WRF-fire behavior model produces better results than using forest fire emission inventories although the requested computational power is much higher. (Author)

  4. Monte Carlo tools for Beyond the Standard Model Physics , April 14-16

    DEFF Research Database (Denmark)

    Badger...[], Simon; Christensen, Christian Holm; Dalsgaard, Hans Hjersing

    2011-01-01

    already exist for the study of low energy supersymmetry and the MSSM in particular, this workshop will instead focus on tools for alternative TeV-scale physics models. The main goals of the workshop are: To survey what is available. To provide feedback on user experiences with Monte Carlo tools for BSM...

  5. Static Stiffness Modeling of a Novel PKM-Machine Tool Structure

    Directory of Open Access Journals (Sweden)

    O. K. Akmaev

    2014-07-01

    Full Text Available This article presents a new configuration of a 3-dof machine tool with parallel kinematics. Elastic deformations of the machine tool have been modeled with finite elements, stiffness coefficients at characteristic points of the working area for different cutting forces have been calculated.

  6. Biological profiling and dose-response modeling tools ...

    Science.gov (United States)

    Through its ToxCast project, the U.S. EPA has developed a battery of in vitro high throughput screening (HTS) assays designed to assess the potential toxicity of environmental chemicals. At present, over 1800 chemicals have been tested in up to 600 assays, yielding a large number of concentration-response data sets. Standard processing of these data sets involves finding a best fitting mathematical model and set of model parameters that specify this model. The model parameters include quantities such as the half-maximal activity concentration (or “AC50”) that have biological significance and can be used to inform the efficacy or potency of a given chemical with respect to a given assay. All of this data is processed and stored in an online-accessible database and website: http://actor.epa.gov/dashboard2. Results from these in vitro assays are used in a multitude of ways. New pathways and targets can be identified and incorporated into new or existing adverse outcome pathways (AOPs). Pharmacokinetic models such as those implemented EPA’s HTTK R package can be used to translate an in vitro concentration into an in vivo dose; i.e., one can predict the oral equivalent dose that might be expected to activate a specific biological pathway. Such predicted values can then be compared with estimated actual human exposures prioritize chemicals for further testing.Any quantitative examination should be accompanied by estimation of uncertainty. We are developing met

  7. MARs Tools for Interactive ANalysis (MARTIAN): Google Maps Tools for Visual Exploration of Geophysical Modeling on Mars

    Science.gov (United States)

    Dimitrova, L. L.; Haines, M.; Holt, W. E.; Schultz, R. A.; Richard, G.; Haines, A. J.

    2006-12-01

    Interactive maps of surface-breaking faults and stress models on Mars provide important tools to engage undergraduate students, educators, and scientists with current geological and geophysical research. We have developed a map based on the Google Maps API -- an Internet based tool combining DHTML and AJAX, -- which allows very large maps to be viewed over the World Wide Web. Typically, small portions of the maps are downloaded as needed, rather than the entire image at once. This set-up enables relatively fast access for users with low bandwidth. Furthermore, Google Maps provides an extensible interactive interface making it ideal for visualizing multiple data sets at the user's choice. The Google Maps API works primarily with data referenced to latitudes and longitudes, which is then mapped in Mercator projection only. We have developed utilities for general cylindrical coordinate systems by converting these coordinates into equivalent Mercator projection before including them on the map. The MARTIAN project is available at http://rock.geo.sunysb.edu/~holt/Mars/MARTIAN/. We begin with an introduction to the Martian surface using a topography model. Faults from several datasets are classified by type (extension vs. compression) and by time epoch. Deviatoric stresses due to gravitational potential energy differences, calculated from the topography and crustal thickness, can be overlain. Several quantitative measures for the fit of the stress field to the faults are also included. We provide introductory text and exercises spanning a range of topics: how are faults identified, what stress is and how it relates to faults, what gravitational potential energy is and how variations in it produce stress, how the models are created, and how these models can be evaluated and interpreted. The MARTIAN tool is used at Stony Brook University in GEO 310: Introduction to Geophysics, a class geared towards junior and senior geosciences majors. Although this project is in its

  8. CRISPR-Cas9: A Revolutionary Tool for Cancer Modelling

    Directory of Open Access Journals (Sweden)

    Raul Torres-Ruiz

    2015-09-01

    Full Text Available The cancer-modelling field is now experiencing a conversion with the recent emergence of the RNA-programmable CRISPR-Cas9 system, a flexible methodology to produce essentially any desired modification in the genome. Cancer is a multistep process that involves many genetic mutations and other genome rearrangements. Despite their importance, it is difficult to recapitulate the degree of genetic complexity found in patient tumors. The CRISPR-Cas9 system for genome editing has been proven as a robust technology that makes it possible to generate cellular and animal models that recapitulate those cooperative alterations rapidly and at low cost. In this review, we will discuss the innovative applications of the CRISPR-Cas9 system to generate new models, providing a new way to interrogate the development and progression of cancers.

  9. Models and tools for studying drought stress responses in peas.

    Science.gov (United States)

    Magyar-Tábori, Katalin; Mendler-Drienyovszki, Nóra; Dobránszki, Judit

    2011-12-01

    The pea (Pisum sativum L.) is an important pulse crop but the growing area is limited because of its relatively low yield stability. In many parts of the world the most important abiotic factor limiting the survival and yield of plants is the restricted water supply, and the crop productivity can only be increased by improving drought tolerance. Development of pea cultivars well adapted to dry conditions has been one of the major tasks in breeding programs. Conventional breeding of new cultivars for dry conditions required extensive selection and testing for yield performance over diverse environments using various biometrical approaches. Several morphological and biochemical traits have been proven to be related to drought resistance, and methods based on physiological attributes can also be used in development of better varieties. Osmoregulation plays a role in the maintenance of turgor pressure under water stress conditions, and information on the behaviour of genotypes under osmotic stress can help selection for drought resistance. Biotechnological approaches including in vitro test, genetic transformation, and the use of molecular markers and mutants could be useful tools in breeding of pea. In this minireview we summarized the present status of different approaches related to drought stress improvement in the pea.

  10. Declining national park visitation: An economic analysis

    Science.gov (United States)

    Thomas H. Stevens; Thomas A. More; Marla. Markowski-Lindsay

    2014-01-01

    Visitation to the major nature-based national parks has been declining. This paper specifies an econometric model that estimates the relative impact of consumer incomes, travel costs, entry fees and other factors on per capita attendance from 1993 to 2010. Results suggest that entrance fees have had a statistically significant but small impact on per capita attendance...

  11. Child Custody, Visitation and Maintenance ...

    African Journals Online (AJOL)

    Nigussie Afesha

    2017-12-30

    Dec 30, 2017 ... Abstract. Although divorce disrupts the marital bond thereby terminating marital rights and obligations, each parent's obligations to the wellbeing and upbringing of children (custody, visitation rights, and maintenance) persists. This article examines the practice of courts with regard to child custody, visitation ...

  12. Visit a Farm? Surely Not!

    Science.gov (United States)

    Graham, Bill

    2012-01-01

    Popular myth has it that visiting a farm can be dangerous, but there are only a few occasions when children have become ill during a school visit to a farm. Simple, sensible precautions, including wearing appropriate clothing, such as trousers and wellington boots (if wet) or sensible shoes, and careful hand-washing, are all that is required. The…

  13. Queuing Models: A Tool For Assessing The Profitability Of Barbing ...

    African Journals Online (AJOL)

    The study considered small scale business as an option in reducing the unemployment rate in our society. The study uses queuing models to assess the profitability of barbing salon business in Agbor town of Delta State. The result of the study indicates that the distribution of inter-arrival times, service times, and waiting ...

  14. Numerical modeling as a tool for sustainable water management

    Science.gov (United States)

    Zacharias, I.; Dimitriou, E.; Koussouris, Th.

    2003-04-01

    Combining environmental preservation and economic prosperity is a primary objective of most developmental activities nowadays. Sustainable Water Resources Management can contribute in achieving this objective, especially in wetland areas that often undergo significant stresses due to irrational water exploitation schemes. Applying numerical modeling for designing sustainable water management scenarios is a common practice during the last decade but it is also under controversy by many scientists and environmental managers. The particular scientific effort attempted to develop and assess a methodology for the formation of water management plans in lake catchments by combining GIS applications, remote-sensing techniques and physically-based hydrologic modeling. The advantages and disadvantages of the specific methodology and particularly of the numerical modeling utilization in the water management forming process have been examined through a case study application in Trichonis lake catchment, W. Greece. At this area, significant wetlands with the endangered Calcareous fens habitat are encountered and presented significant degradation during the last 30 years. The results indicated that the particular methodology provided water management scenarios that fulfilled both the environmental and anthropogenic demands without compromising the replenishment potential of the local water resources. Numerical modeling operated efficiently, accelerated the water management formation process and offered scenarios that can be easily applicable and amendable by the local Water Authorities.

  15. Mathematical modelling : a tool for hospital infection control

    NARCIS (Netherlands)

    Grundmann, H; Hellriegel, B

    Health-care-associated infections caused by antibiotic-resistant pathogens have become a menace in hospitals worldwide and infection control measures have lead to vastly different outcomes in different countries. During the past 6 years, a theoretical framework based on mathematical models has

  16. Mathematical modelling: a tool for hospital infection control

    NARCIS (Netherlands)

    Grundmann, Hajo; Hellriegel, B.

    2006-01-01

    Health-care-associated infections caused by antibiotic-resistant pathogens have become a menace in hospitals worldwide and infection control measures have lead to vastly different outcomes in different countries. During the past 6 years, a theoretical framework based on mathematical models has

  17. Mathematical modelling: a tool for hospital infection control.

    NARCIS (Netherlands)

    Grundmann, Hajo; Hellriegel, B

    2006-01-01

    Health-care-associated infections caused by antibiotic-resistant pathogens have become a menace in hospitals worldwide and infection control measures have lead to vastly different outcomes in different countries. During the past 6 years, a theoretical framework based on mathematical models has

  18. Agent-Based Modeling: A Powerful Tool for Tourism Researchers

    NARCIS (Netherlands)

    Nicholls, Sarah; Amelung, B.; Student, Jillian

    2017-01-01

    Agent-based modeling (ABM) is a way of representing complex systems of autonomous agents or actors, and of simulating the multiple potential outcomes of these agents’ behaviors and interactions in the form of a range of alternatives or futures. Despite the complexity of the tourism system, and the

  19. 3-C Models Teaching Tools to Promote Social Justice

    Science.gov (United States)

    Marbley, Aretha Faye; Rouson, Leon; Burley, Hansel; Ross, Wendy; Bonner, Fred A., II; Lértora, Ian; Huang, Shih-Han

    2017-01-01

    Equipping future professionals and educators with critical global multicultural competences and skills to work with people from diverse backgrounds is a challenge for both predominantly White institutions (PWIs) and Historically Black Colleges and Universities (HBCUs). The major objective of this article is to introduce an adaptable model with an…

  20. Modeling mind-wandering: a tool to better understand distraction

    NARCIS (Netherlands)

    van Vugt, Marieke; Taatgen, Niels; Sackur, Jerome; Bastian, Mikael; Taatgen, Niels; van Vugt, Marieke; Borst, Jelmer; Mehlhorn, Katja

    2015-01-01

    When we get distracted, we may engage in mind-wandering, or task-unrelated thinking, which impairs performance on cognitive tasks. Yet, we do not have cognitive models that make this process explicit. On the basis of both recent experiments that have started to investigate mind-wandering and

  1. Selecting Tools to Model Integer and Binomial Multiplication

    Science.gov (United States)

    Pratt, Sarah Smitherman; Eddy, Colleen M.

    2017-01-01

    Mathematics teachers frequently provide concrete manipulatives to students during instruction; however, the rationale for using certain manipulatives in conjunction with concepts may not be explored. This article focuses on area models that are currently used in classrooms to provide concrete examples of integer and binomial multiplication. The…

  2. Verifying OCL specifications of UML models : tool support and compositionality

    NARCIS (Netherlands)

    Kyas, Marcel

    2006-01-01

    The Unified Modelling Language (UML) and the Object Constraint Language (OCL) serve as specification languages for embedded and real-time systems used in a safety-critical environment. In this dissertation class diagrams, object diagrams, and OCL constraints are formalised. The formalisation

  3. The Visible Signature Modelling and Evaluation ToolBox

    Science.gov (United States)

    2008-12-01

    Rhinoceros . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32 2.5.2 MODTRAN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33...HYDROLIGHT. The commercial support software has a number of dif- ferent functionalities. Rhinoceros provides the wireframe models required as input...Greyscale texture synthesis takes a greyscale input image and a uniform white -noise texture. The white -noise texture is modified to reproduce certain

  4. Computer modelling as a tool for understanding language evolution

    NARCIS (Netherlands)

    de Boer, Bart; Gontier, N; VanBendegem, JP; Aerts, D

    2006-01-01

    This paper describes the uses of computer models in studying the evolution of language. Language is a complex dynamic system that can be studied at the level of the individual and at the level of the population. Much of the dynamics of language evolution and language change occur because of the

  5. Molecular Modeling: A Powerful Tool for Drug Design and Molecular ...

    Indian Academy of Sciences (India)

    data. GENERAL I ARTICLE of programmable calculators (starting around 1956 with the introduction of Fortran), computers as visualization aids (around. 1970) .... ous applications of computer assisted molecular modeling tech- niques are .... thods are less complicated, fast, and are able to handle very large systems ...

  6. Animal models for arthritis: innovative tools for prevention and treatment

    NARCIS (Netherlands)

    Kollias, G.; Papadaki, P.; Apparailly, F.; Vervoordeldonk, M.J.; Holmdahl, R.; Baumans, V.; Desaintes, C.; Di Santo, J.; Distler, J.; Garside, P.; Hegen, M.; Huizinga, T.W.J.; Jüngel, A.; Klareskog, L.; McInnes, I.; Ragoussis, I.; Schett, G.; Hart, B.t.; Tak, P.P.; Toes, R.; van den Berg, W.; Wurst, W.; Gay, S.

    2011-01-01

    The development of novel treatments for rheumatoid arthritis (RA) requires the interplay between clinical observations and studies in animal models. Given the complex molecular pathogenesis and highly heterogeneous clinical picture of RA, there is an urgent need to dissect its multifactorial nature

  7. 150 Bulgarian students visit CERN

    CERN Multimedia

    Alizée Dauvergne

    2010-01-01

    Between 27 March and 8 April 2010, 150 Bulgarian students from the Astronomical Observatory in Varna visited CERN as part of the “From Galileo to CERN” programme. Bulgarian students participating in the "From Galileo to CERN" educational programme. “It’s interesting to combine astronomy and particle physics”, explains Svejina Dimitrova, organiser of the programme and Director of Varna Astronomical Observatory. The three groups, each one comprising 50 students, first visited Pisa, Padua and other places in Italy  related to Galileo’s life. “Thanks to the visit, students understood telescopes and why Galileo is such an important scientist”, says Svejina. After Italy, they came to CERN for three days and visited several sites: Linac, the Computer Centre CCC, etc. Another group of Bulgarian students in their visit to CERN. “They became aware that particle physics is not only the...

  8. Image decomposition as a tool for validating stress analysis models

    Directory of Open Access Journals (Sweden)

    Mottershead J.

    2010-06-01

    Full Text Available It is good practice to validate analytical and numerical models used in stress analysis for engineering design by comparison with measurements obtained from real components either in-service or in the laboratory. In reality, this critical step is often neglected or reduced to placing a single strain gage at the predicted hot-spot of stress. Modern techniques of optical analysis allow full-field maps of displacement, strain and, or stress to be obtained from real components with relative ease and at modest cost. However, validations continued to be performed only at predicted and, or observed hot-spots and most of the wealth of data is ignored. It is proposed that image decomposition methods, commonly employed in techniques such as fingerprinting and iris recognition, can be employed to validate stress analysis models by comparing all of the key features in the data from the experiment and the model. Image decomposition techniques such as Zernike moments and Fourier transforms have been used to decompose full-field distributions for strain generated from optical techniques such as digital image correlation and thermoelastic stress analysis as well as from analytical and numerical models by treating the strain distributions as images. The result of the decomposition is 101 to 102 image descriptors instead of the 105 or 106 pixels in the original data. As a consequence, it is relatively easy to make a statistical comparison of the image descriptors from the experiment and from the analytical/numerical model and to provide a quantitative assessment of the stress analysis.

  9. Implementing Lumberjacks and Black Swans Into Model-Based Tools to Support Human-Automation Interaction.

    Science.gov (United States)

    Sebok, Angelia; Wickens, Christopher D

    2017-03-01

    The objectives were to (a) implement theoretical perspectives regarding human-automation interaction (HAI) into model-based tools to assist designers in developing systems that support effective performance and (b) conduct validations to assess the ability of the models to predict operator performance. Two key concepts in HAI, the lumberjack analogy and black swan events, have been studied extensively. The lumberjack analogy describes the effects of imperfect automation on operator performance. In routine operations, an increased degree of automation supports performance, but in failure conditions, increased automation results in more significantly impaired performance. Black swans are the rare and unexpected failures of imperfect automation. The lumberjack analogy and black swan concepts have been implemented into three model-based tools that predict operator performance in different systems. These tools include a flight management system, a remotely controlled robotic arm, and an environmental process control system. Each modeling effort included a corresponding validation. In one validation, the software tool was used to compare three flight management system designs, which were ranked in the same order as predicted by subject matter experts. The second validation compared model-predicted operator complacency with empirical performance in the same conditions. The third validation compared model-predicted and empirically determined time to detect and repair faults in four automation conditions. The three model-based tools offer useful ways to predict operator performance in complex systems. The three tools offer ways to predict the effects of different automation designs on operator performance.

  10. Factors affecting yearly and monthly visits to Taipei Zoo

    Science.gov (United States)

    Su, Ai-Tsen; Lin, Yann-Jou

    2018-02-01

    This study investigated factors affecting yearly and monthly numbers of visits to Taipei Zoo. Both linear and nonlinear regression models were used to estimate yearly visits. The results of both models showed that the "opening effect" and "animal star effect" had a significantly positive effect on yearly visits, while a SARS outbreak had a negative effect. The number of years had a significant influence on yearly visits. Results showed that the nonlinear model had better explanatory power and fitted the variations of visits better. Results of monthly model showed that monthly visits were significantly influenced by time fluctuations, weather conditions, and the animal star effect. Chinese New Year, summer vacation, numbers of holidays, and animal star exhibitions increased the number of monthly visits, while the number of days with temperatures at or below 15 °C, the number of days with temperatures at or above 30 °C, and the number of rainy days had significantly negative effects. Furthermore, the model of monthly visits showed that the animal star effect could last for over two quarters. The results of this study clarify the factors affecting visits to an outdoor recreation site and confirm the importance of meteorological factors to recreation use.

  11. About Using Predictive Models and Tools To Assess Chemicals under TSCA

    Science.gov (United States)

    As part of EPA's effort to promote chemical safety, OPPT provides public access to predictive models and tools which can help inform the public on the hazards and risks of substances and improve chemical management decisions.

  12. The Integrated Medical Model: A Decision Support Tool for In-flight Crew Health Care

    Science.gov (United States)

    Butler, Doug

    2009-01-01

    This viewgraph presentation reviews the development of an Integrated Medical Model (IMM) decision support tool for in-flight crew health care safety. Clinical methods, resources, and case scenarios are also addressed.

  13. An Evaluation of Growth Models as Predictive Tools for Estimates at Completion (EAC)

    National Research Council Canada - National Science Library

    Trahan, Elizabeth N

    2009-01-01

    ...) as the Estimates at Completion (EAC). Our research evaluates the prospect of nonlinear growth modeling as an alternative to the current predictive tools used for calculating EAC, such as the Cost Performance Index (CPI...

  14. Model-Based Design Tools for Extending COTS Components To Extreme Environments, Phase I

    Data.gov (United States)

    National Aeronautics and Space Administration — The innovation in this Phase I project is to prove the feasibility of using model-based design (MBD) tools to predict the performance and useful life of...

  15. Model-Based Design Tools for Extending COTS Components To Extreme Environments, Phase II

    Data.gov (United States)

    National Aeronautics and Space Administration — The innovation in this project is model-based design (MBD) tools for predicting the performance and useful life of commercial-off-the-shelf (COTS) components and...

  16. Prediction Model and Risk Stratification Tool for Survival in Patients With CKD

    Directory of Open Access Journals (Sweden)

    Alexander S. Goldfarb-Rumyantzev

    2018-03-01

    Conclusion: The risk stratification tool and prediction model of 2-year mortality demonstrated good performance and may be used in clinical practice to quantify the risk of death for individual patients with CKD.

  17. The 8 Learning Events Model: a Pedagogic Conceptual Tool Supporting Diversification of Learning Methods

    NARCIS (Netherlands)

    Verpoorten, Dominique; Poumay, M; Leclercq, D

    2006-01-01

    Please, cite this publication as: Verpoorten, D., Poumay, M., & Leclercq, D. (2006). The 8 Learning Events Model: a Pedagogic Conceptual Tool Supporting Diversification of Learning Methods. Proceedings of International Workshop in Learning Networks for Lifelong Competence Development, TENCompetence

  18. Physics-based Modeling Tools for Life Prediction and Durability Assessment of Advanced Materials, Phase I

    Data.gov (United States)

    National Aeronautics and Space Administration — The technical objectives of this program are: (1) to develop a set of physics-based modeling tools to predict the initiation of hot corrosion and to address pit and...

  19. Multi-Physics Computational Modeling Tool for Materials Damage Assessment, Phase I

    Data.gov (United States)

    National Aeronautics and Space Administration — The innovation proposed here is to provide a multi-physics modeling tool for materials damage assessment for application to future aircraft design. The software...

  20. Model Verification and Validation Using Graphical Information Systems Tools

    Science.gov (United States)

    2013-07-31

    coastal ocean sufficiently to have a complete picture of the flow. The analysis will thus consist of comparing these incomplete pictures of the current...50 cm. This would suggest that tidal flats would exist at synoptic scales but not daily because there are expanses of the lagoon that are < 50 cm...historical daily data from the correct time of year but not from the correct day. This indicates that the model flow is generally correct at synoptic

  1. 3D model tools for architecture and archaeology reconstruction

    Science.gov (United States)

    Vlad, Ioan; Herban, Ioan Sorin; Stoian, Mircea; Vilceanu, Clara-Beatrice

    2016-06-01

    The main objective of architectural and patrimonial survey is to provide a precise documentation of the status quo of the surveyed objects (monuments, buildings, archaeological object and sites) for preservation and protection, for scientific studies and restoration purposes, for the presentation to the general public. Cultural heritage documentation includes an interdisciplinary approach having as purpose an overall understanding of the object itself and an integration of the information which characterize it. The accuracy and the precision of the model are directly influenced by the quality of the measurements realized on field and by the quality of the software. The software is in the process of continuous development, which brings many improvements. On the other side, compared to aerial photogrammetry, close range photogrammetry and particularly architectural photogrammetry is not limited to vertical photographs with special cameras. The methodology of terrestrial photogrammetry has changed significantly and various photographic acquisitions are widely in use. In this context, the present paper brings forward a comparative study of TLS (Terrestrial Laser Scanner) and digital photogrammetry for 3D modeling. The authors take into account the accuracy of the 3D models obtained, the overall costs involved for each technology and method and the 4th dimension - time. The paper proves its applicability as photogrammetric technologies are nowadays used at a large scale for obtaining the 3D model of cultural heritage objects, efficacious in their assessment and monitoring, thus contributing to historic conservation. Its importance also lies in highlighting the advantages and disadvantages of each method used - very important issue for both the industrial and scientific segment when facing decisions such as in which technology to invest more research and funds.

  2. Variable fused deposition modelling - concept design and tool path generation

    OpenAIRE

    Brooks, Hadley Laurence

    2011-01-01

    Current Fused Deposition Modelling (FDM) techniques use fixed diameter nozzles to deposit a filament of plastic layer by layer. The consequence is that the same small nozzle, essential for fine details, is also used to fill in relatively large volumes. In practice a Pareto-optimal nozzle diameter is chosen that attempts to maximise resolution while minimising build time. This paper introduces a concept for adapting an additive manufacturing system, which exploits a variable diameter nozzle fo...

  3. Requirements Validation: Execution of UML Models with CPN Tools

    DEFF Research Database (Denmark)

    Machado, Ricardo J.; Lassen, Kristian Bisgaard; Oliveira, Sérgio

    2007-01-01

    Requirements validation is a critical task in any engineering project. The confrontation of stakeholders with static requirements models is not enough, since stakeholders with non-computer science education are not able to discover all the inter-dependencies between the elicited requirements. Even...... requirements, where the system to be built must explicitly support the interaction between people within a pervasive cooperative workflow execution. A case study from a real project is used to illustrate the proposed approach....

  4. A Practical Probabilistic Graphical Modeling Tool for Weighing ...

    Science.gov (United States)

    Past weight-of-evidence frameworks for adverse ecological effects have provided soft-scoring procedures for judgments based on the quality and measured attributes of evidence. Here, we provide a flexible probabilistic structure for weighing and integrating lines of evidence for ecological risk determinations. Probabilistic approaches can provide both a quantitative weighing of lines of evidence and methods for evaluating risk and uncertainty. The current modeling structure wasdeveloped for propagating uncertainties in measured endpoints and their influence on the plausibility of adverse effects. To illustrate the approach, we apply the model framework to the sediment quality triad using example lines of evidence for sediment chemistry measurements, bioassay results, and in situ infauna diversity of benthic communities using a simplified hypothetical case study. We then combine the three lines evidence and evaluate sensitivity to the input parameters, and show how uncertainties are propagated and how additional information can be incorporated to rapidly update the probability of impacts. The developed network model can be expanded to accommodate additional lines of evidence, variables and states of importance, and different types of uncertainties in the lines of evidence including spatial and temporal as well as measurement errors. We provide a flexible Bayesian network structure for weighing and integrating lines of evidence for ecological risk determinations

  5. Habitat hydraulic models - a tool for Danish stream quality assessment?

    DEFF Research Database (Denmark)

    Olsen, Martin

    In relation to the European Water Framework Directive (WFD), Danish water management has to change to a holistic management approach considering both groundwaters and surface waters at the same time. Furthermore the WFD introduces the concept "Good ecological status" where the quality of the biol......In relation to the European Water Framework Directive (WFD), Danish water management has to change to a holistic management approach considering both groundwaters and surface waters at the same time. Furthermore the WFD introduces the concept "Good ecological status" where the quality...... in Danish stream management and stream quality assessment. The stream Ledreborg catchment is modelled using a precipitation-run-off-model (NAM) and as an addition to the normal calibration procedure (Kronvang et al., 2000) the model is calibrated using DAISY adjusted evaporation data. The impact from...... groundwater abstraction upon stream discharge is assessed and in relation to this the relative importance of variations in precipitation, evaporation/temperature and groundwater abstraction are discussed. Physical habitat preferences for trout in the stream Ledreborg are assessed through a series of field...

  6. Tools for model-independent bounds in direct dark matter searches

    DEFF Research Database (Denmark)

    Cirelli, M.; Del Nobile, E.; Panci, P.

    2013-01-01

    We discuss a framework (based on non-relativistic operators) and a self-contained set of numerical tools to derive the bounds from some current direct detection experiments on virtually any arbitrary model of Dark Matter elastically scattering on nuclei.......We discuss a framework (based on non-relativistic operators) and a self-contained set of numerical tools to derive the bounds from some current direct detection experiments on virtually any arbitrary model of Dark Matter elastically scattering on nuclei....

  7. ADVISHE: A new tool to report validation of health-economic decision models

    NARCIS (Netherlands)

    Vemer, P.; Corro Ramos, I.; Van Voorn, G.; Al, M.J.; Feenstra, T.L.

    2014-01-01

    Background: Modelers and reimbursement decision makers could both profit from a more systematic reporting of the efforts to validate health-economic (HE) models. Objectives: Development of a tool to systematically report validation efforts of HE decision models and their outcomes. Methods: A gross

  8. Decision modelling tools for utilities in the deregulated energy market

    Energy Technology Data Exchange (ETDEWEB)

    Makkonen, S. [Process Vision Oy, Helsinki (Finland)

    2005-07-01

    , strategic decision support has also faced new challenges. This thesis introduces two applications involving multiple criteria decision making methods. The first application explores the decision making problem caused by the introduction of 'green' electricity that creates additional value for renewable energy. In this problem the stochastic multicriteria acceptability analysis method (SMAA) is applied. The second strategic multi-criteria decision making study discusses two different energy-related operations research problems: the elements of risk analysis in the energy field and the evaluation of different choices with a decision support tool accommodating incomplete preference information to help energy companies to select a proper risk management system. The application is based on the rank inclusion in criteria hierarchies (RICH) method. (orig.)

  9. Decision modelling tools for utilities in the deregulated energy market

    International Nuclear Information System (INIS)

    Makkonen, S.

    2005-01-01

    , strategic decision support has also faced new challenges. This thesis introduces two applications involving multiple criteria decision making methods. The first application explores the decision making problem caused by the introduction of 'green' electricity that creates additional value for renewable energy. In this problem the stochastic multicriteria acceptability analysis method (SMAA) is applied. The second strategic multi-criteria decision making study discusses two different energy-related operations research problems: the elements of risk analysis in the energy field and the evaluation of different choices with a decision support tool accommodating incomplete preference information to help energy companies to select a proper risk management system. The application is based on the rank inclusion in criteria hierarchies (RICH) method. (orig.)

  10. MetaboTools: A Comprehensive Toolbox for Analysis of Genome-Scale Metabolic Models

    Science.gov (United States)

    Aurich, Maike K.; Fleming, Ronan M. T.; Thiele, Ines

    2016-01-01

    Metabolomic data sets provide a direct read-out of cellular phenotypes and are increasingly generated to study biological questions. Previous work, by us and others, revealed the potential of analyzing extracellular metabolomic data in the context of the metabolic model using constraint-based modeling. With the MetaboTools, we make our methods available to the broader scientific community. The MetaboTools consist of a protocol, a toolbox, and tutorials of two use cases. The protocol describes, in a step-wise manner, the workflow of data integration, and computational analysis. The MetaboTools comprise the Matlab code required to complete the workflow described in the protocol. Tutorials explain the computational steps for integration of two different data sets and demonstrate a comprehensive set of methods for the computational analysis of metabolic models and stratification thereof into different phenotypes. The presented workflow supports integrative analysis of multiple omics data sets. Importantly, all analysis tools can be applied to metabolic models without performing the entire workflow. Taken together, the MetaboTools constitute a comprehensive guide to the intra-model analysis of extracellular metabolomic data from microbial, plant, or human cells. This computational modeling resource offers a broad set of computational analysis tools for a wide biomedical and non-biomedical research community. PMID:27536246

  11. How can land-use modelling tools inform bioenergy policies?

    Science.gov (United States)

    Davis, Sarah C.; House, Joanna I.; Diaz-Chavez, Rocio A.; Molnar, Andras; Valin, Hugo; DeLucia, Evan H.

    2011-01-01

    Targets for bioenergy have been set worldwide to mitigate climate change. Although feedstock sources are often ambiguous, pledges in European nations, the United States and Brazil amount to more than 100 Mtoe of biorenewable fuel production by 2020. As a consequence, the biofuel sector is developing rapidly, and it is increasingly important to distinguish bioenergy options that can address energy security and greenhouse gas mitigation from those that cannot. This paper evaluates how bioenergy production affects land-use change (LUC), and to what extent land-use modelling can inform sound decision-making. We identified local and global internalities and externalities of biofuel development scenarios, reviewed relevant data sources and modelling approaches, identified sources of controversy about indirect LUC (iLUC) and then suggested a framework for comprehensive assessments of bioenergy. Ultimately, plant biomass must be managed to produce energy in a way that is consistent with the management of food, feed, fibre, timber and environmental services. Bioenergy production provides opportunities for improved energy security, climate mitigation and rural development, but the environmental and social consequences depend on feedstock choices and geographical location. The most desirable solutions for bioenergy production will include policies that incentivize regionally integrated management of diverse resources with low inputs, high yields, co-products, multiple benefits and minimal risks of iLUC. Many integrated assessment models include energy resources, trade, technological development and regional environmental conditions, but do not account for biodiversity and lack detailed data on the location of degraded and underproductive lands that would be ideal for bioenergy production. Specific practices that would maximize the benefits of bioenergy production regionally need to be identified before a global analysis of bioenergy-related LUC can be accomplished. PMID

  12. Modelling as an indispensible research tool in the information society.

    Science.gov (United States)

    Bouma, Johan

    2016-04-01

    Science and society would be well advised to develop a different relationship as the information revolution penetrates all aspects of modern life. Rather than produce clear answers to clear questions in a top-down manner, land-use issues related to the UN Sustainable Development Goals (SDGs) present "wicked"problems involving different, strongly opiniated, stakeholders with conflicting ideas and interests and risk-averse politicians. The Dutch government has invited its citizens to develop a "science agenda", defining future research needs, implicitly suggesting that the research community is unable to do so. Time, therefore, for a pro-active approach to more convincingly define our:"societal license to research". For soil science this could imply a focus on the SDGs , considering soils as living, characteristically different, dynamic bodies in a landscape, to be mapped in ways that allow generation of suitable modelling data. Models allow a dynamic characterization of water- and nutrient regimes and plant growth in soils both for actual and future conditions, reflecting e.g. effects of climate or land-use change or alternative management practices. Engaging modern stakeholders in a bottom-up manner implies continuous involvement and "joint learning" from project initiation to completion, where modelling results act as building blocks to explore alternative scenarios. Modern techniques allow very rapid calculations and innovative visualization. Everything is possible but only modelling can articulate the economic, social and environmental consequences of each scenario, demonstrating in a pro-active manner the crucial and indispensible role of research. But choices are to be made by stakeholders and reluctant policy makers and certainly not by scientists who should carefully guard their independance. Only clear results in the end are convincing proof for the impact of science, requiring therefore continued involvement of scientists up to the very end of projects. To

  13. Software Support of Modelling using Ergonomic Tools in Engineering

    Directory of Open Access Journals (Sweden)

    Darina Dupláková

    2017-08-01

    Full Text Available One of the preconditions for correct development of industrial production is continuous interconnecting of virtual reality and real world by computer software. Computer software are used for product modelling, creation of technical documentation, scheduling, management and optimization of manufacturing processes, and efficiency increase of human work in manufacturing plants. This article describes the frequent used ergonomic software which helping to increase of human work by error rate reducing, risks factors of working environment, injury in workplaces and elimination of arising occupational diseases. They are categorized in the field of micro ergonomics and they are applicable at the manufacturing level with flexible approach in solving of established problems.

  14. Systematic Methods and Tools for Computer Aided Modelling

    OpenAIRE

    Fedorova, Marina; Gani, Rafiqul; Sin, Gürkan

    2015-01-01

    Modeller spiller vigtige roller til design og analyse af kemi- og biokemibaserede produkter samt til processerne, der fremstille dem. Modelbaserede metoder og værktøjer har potentialet til at formindske antallet af eksperimenter, som kan være dyre og tidskrævende, og til at udvælge kandidater, hvorpå den eksperimentelle indsats bør fokuseres. I dette projekt blev en generel modelleringsramme udviklet til en systematisk modelopsætning ved hjælp af modelskabeloner. Modelrammen understøtter en n...

  15. Software Quality Assessment Tool Based on Meta-Models

    OpenAIRE

    Doneva Rositsa; Gaftandzhieva Silvia; Doneva Zhelyana; Staevsky Nevena

    2015-01-01

    In the software industry it is indisputably essential to control the quality of produced software systems in terms of capabilities for easy maintenance, reuse, portability and others in order to ensure reliability in the software development. But it is also clear that it is very difficult to achieve such a control through a ‘manual’ management of quality.There are a number of approaches for software quality assurance based typically on software quality models (e.g. ISO 9126, McCall’s, Boehm’s...

  16. Tool Support for Collaborative Teaching and Learning of Object-Oriented Modelling

    DEFF Research Database (Denmark)

    Hansen, Klaus Marius; Ratzer, Anne Vinter

    2002-01-01

    Modeling is central to doing and learning object-oriented development. We present a new tool, Ideogramic UML, for gesture-based collaborative modeling with the Unified Modeling Language (UML), which can be used to collaboratively teach and learn modeling. Furthermore, we discuss how we have effec...... effectively used Ideogramic UML to teach object-oriented modeling and the UML to groups of students using the UML for project assignments....

  17. A single visit multidisciplinary model for managing patients with mutations in moderate and high-risk genes in a community practice setting.

    Science.gov (United States)

    O'Leary, Michael P; Goldner, Bryan S; Abboy, Sridevi; Mercado, Philip D; Plurad, Hong Yoon

    2018-01-01

    The introduction of screening for multiple high and moderate risk mutations in genes has resulted in a complex approach to patient care involving multiple disciplines. We sought to describe the feasibility of a single visit multidisciplinary approach to the management of patients with an identified high/moderate risk gene mutation. Patients who presented to our community hospital over a 1-year period who were found to have a high/moderate risk genetic mutation on a screening panel were referred to the High Risk Genetic Clinic. Thirty-five patients were included. The majority were female [34 (97.1%)], Hispanic [22 (62.9%)], with a family history of cancer [21 (60%)]. Mean age was 40.3 years. Most of the participants had a BRCA1 gene mutation [10 (28.6%)]. Patients were seen at the High Risk Genetic Clinic within a mean of 41.9 days from the day of genetic mutation diagnosis. Four patients did not show and were significantly younger (19.3 vs. 39.6 years, p = 0.014). In this community setting, we provided coordinated care within multiple disciplines related to a genetic mutation in a single clinic visit. Increased efforts at coordinating early care should be directed towards patients diagnosed at a younger age.

  18. Uranium resources evaluation model as an exploration tool

    International Nuclear Information System (INIS)

    Ruzicka, V.

    1976-01-01

    Evaluation of uranium resources, as conducted by the Uranium Resources Evaluation Section of the Geological Survey of Canada, comprises operations analogous with those performed during the preparatory stages of uranium exploration. The uranium resources evaluation model, simulating the estimation process, can be divided into four steps. The first step includes definition of major areas and ''unit subdivisions'' for which geological data are gathered, coded, computerized and retrieved. Selection of these areas and ''unit subdivisions'' is based on a preliminary appraisal of their favourability for uranium mineralization. The second step includes analyses of the data, definition of factors controlling uranium minearlization, classification of uranium occurrences into genetic types, and final delineation of favourable areas; this step corresponds to the selection of targets for uranium exploration. The third step includes geological field work; it is equivalent to geological reconnaissance in exploration. The fourth step comprises computation of resources; the preliminary evaluation techniques in the exploration are, as a rule, analogous with the simplest methods employed in the resource evaluation. The uranium resources evaluation model can be conceptually applied for decision-making during exploration or for formulation of exploration strategy using the quantified data as weighting factors. (author)

  19. Visiting Scholars Program

    Science.gov (United States)

    2016-09-01

    University or RPI. Another example would be the transpositioning of a trip planning process for the tourism destination Disneyland Hotel in CA to one for...Health Module is one such module and attempts to capture the health dimension. While hospitals are never targeted they may however be adversely affected...when lifeline services like water supply and power are disrupted. In NOEM hospitals are modeled as demand centers that draw inputs (water, power

  20. Assessment of the Clinical Trainer as a Role Model: A Role Model Apperception Tool (RoMAT)

    NARCIS (Netherlands)

    Jochemsen-van der Leeuw, H. G. A. Ria; van Dijk, Nynke; Wieringa-de Waard, Margreet

    2014-01-01

    Purpose Positive role modeling by clinical trainers is important for helping trainees learn professional and competent behavior. The authors developed and validated an instrument to assess clinical trainers as role models: the Role Model Apperception Tool (RoMAT). Method On the basis of a 2011

  1. A Tool for Performance Modeling of Parallel Programs

    Directory of Open Access Journals (Sweden)

    J.A. González

    2003-01-01

    Full Text Available Current performance prediction analytical models try to characterize the performance behavior of actual machines through a small set of parameters. In practice, substantial deviations are observed. These differences are due to factors as memory hierarchies or network latency. A natural approach is to associate a different proportionality constant with each basic block, and analogously, to associate different latencies and bandwidths with each "communication block". Unfortunately, to use this approach implies that the evaluation of parameters must be done for each algorithm. This is a heavy task, implying experiment design, timing, statistics, pattern recognition and multi-parameter fitting algorithms. Software support is required. We present a compiler that takes as source a C program annotated with complexity formulas and produces as output an instrumented code. The trace files obtained from the execution of the resulting code are analyzed with an interactive interpreter, giving us, among other information, the values of those parameters.

  2. Network Models: An Underutilized Tool in Wildlife Epidemiology?

    Directory of Open Access Journals (Sweden)

    Meggan E. Craft

    2011-01-01

    Full Text Available Although the approach of contact network epidemiology has been increasing in popularity for studying transmission of infectious diseases in human populations, it has generally been an underutilized approach for investigating disease outbreaks in wildlife populations. In this paper we explore the differences between the type of data that can be collected on human and wildlife populations, provide an update on recent advances that have been made in wildlife epidemiology by using a network approach, and discuss why networks might have been underutilized and why networks could and should be used more in the future. We conclude with ideas for future directions and a call for field biologists and network modelers to engage in more cross-disciplinary collaboration.

  3. Visual Basic, Excel-based fish population modeling tool - The pallid sturgeon example

    Science.gov (United States)

    Moran, Edward H.; Wildhaber, Mark L.; Green, Nicholas S.; Albers, Janice L.

    2016-02-10

    The model presented in this report is a spreadsheet-based model using Visual Basic for Applications within Microsoft Excel (http://dx.doi.org/10.5066/F7057D0Z) prepared in cooperation with the U.S. Army Corps of Engineers and U.S. Fish and Wildlife Service. It uses the same model structure and, initially, parameters as used by Wildhaber and others (2015) for pallid sturgeon. The difference between the model structure used for this report and that used by Wildhaber and others (2015) is that variance is not partitioned. For the model of this report, all variance is applied at the iteration and time-step levels of the model. Wildhaber and others (2015) partition variance into parameter variance (uncertainty about the value of a parameter itself) applied at the iteration level and temporal variance (uncertainty caused by random environmental fluctuations with time) applied at the time-step level. They included implicit individual variance (uncertainty caused by differences between individuals) within the time-step level.The interface developed for the model of this report is designed to allow the user the flexibility to change population model structure and parameter values and uncertainty separately for every component of the model. This flexibility makes the modeling tool potentially applicable to any fish species; however, the flexibility inherent in this modeling tool makes it possible for the user to obtain spurious outputs. The value and reliability of the model outputs are only as good as the model inputs. Using this modeling tool with improper or inaccurate parameter values, or for species for which the structure of the model is inappropriate, could lead to untenable management decisions. By facilitating fish population modeling, this modeling tool allows the user to evaluate a range of management options and implications. The goal of this modeling tool is to be a user-friendly modeling tool for developing fish population models useful to natural resource

  4. SM18 Visits and Access

    CERN Multimedia

    2012-01-01

      VISITS The rules and conditions to be followed for visits in the SM18 Hall are laid out in the EDMS 1205328 document. No visit is allowed without prior reservation.   ACCESS Special access right is needed ONLY from 7 p.m. to 7 a.m. and during week-ends. From 1 December, the current SM18 access database will be closed and a new one “SM18-OWH outside normal hours” started from scratch. Requests, via EDH SM18-OWH, will have to be duly justified.   For further information, please contact Evelyne Delucinge.

  5. Optimizing robot placement for visit-point tasks

    Energy Technology Data Exchange (ETDEWEB)

    Hwang, Y.K.; Watterberg, P.A.

    1996-06-01

    We present a manipulator placement algorithm for minimizing the length of the manipulator motion performing a visit-point task such as spot welding. Given a set of points for the tool of a manipulator to visit, our algorithm finds the shortest robot motion required to visit the points from each possible base configuration. The base configurations resulting in the shortest motion is selected as the optimal robot placement. The shortest robot motion required for visiting multiple points from a given base configuration is computed using a variant of the traveling salesman algorithm in the robot joint space and a point-to-point path planner that plans collision free robot paths between two configurations. Our robot placement algorithm is expected to reduce the robot cycle time during visit- point tasks, as well as speeding up the robot set-up process when building a manufacturing line.

  6. Inspection of the Math Model Tools for On-Orbit Assessment of Impact Damage Report

    Science.gov (United States)

    Harris, Charles E.; Raju, Ivatury S.; Piascik, Robert S> KramerWhite, Julie A.; KramerWhite, Julie A.; Labbe, Steve G.; Rotter, Hank A.

    2007-01-01

    In Spring of 2005, the NASA Engineering Safety Center (NESC) was engaged by the Space Shuttle Program (SSP) to peer review the suite of analytical tools being developed to support the determination of impact and damage tolerance of the Orbiter Thermal Protection Systems (TPS). The NESC formed an independent review team with the core disciplines of materials, flight sciences, structures, mechanical analysis and thermal analysis. The Math Model Tools reviewed included damage prediction and stress analysis, aeroheating analysis, and thermal analysis tools. Some tools are physics-based and other tools are empirically-derived. Each tool was created for a specific use and timeframe, including certification, real-time pre-launch assessments. In addition, the tools are used together in an integrated strategy for assessing the ramifications of impact damage to tile and RCC. The NESC teams conducted a peer review of the engineering data package for each Math Model Tool. This report contains the summary of the team observations and recommendations from these reviews.

  7. A Strengths-Based Approach to Supervised Visitation in Child Welfare

    Science.gov (United States)

    Smith, Gabriel Tobin; Shapiro, Valerie B.; Sperry, Rachel Wagner; LeBuffe, Paul A.

    2014-01-01

    This article describes a strengths-based approach to supervised visitation within the child welfare system of the United States. Supervised visitation gives parents accused of abuse or neglect the opportunity to spend time with children temporarily removed from their care. Although supervised visitation has the potential to be a tool for promoting…

  8. Model-based development of a course of action scheduling tool

    DEFF Research Database (Denmark)

    Kristensen, Lars Michael; Mechlenborg, Peter; Zhang, Lin

    2008-01-01

    This paper shows how a formal method in the form of Coloured Petri Nets (CPNs) and the supporting CPN Tools have been used in the development of the Course of Action Scheduling Tool (COAST). The aim of COAST is to support human planners in the specification and scheduling of tasks in a Course...... of Action. CPNs have been used to develop a formal model of the task execution framework underlying COAST. The CPN model has been extracted in executable form from CPN Tools and embedded directly into COAST, thereby automatically bridging the gap between the formal specification and its implementation....... The scheduling capabilities of COAST are based on state space exploration of the embedded CPN model. Planners interact with COAST using a domain-specific graphical user interface (GUI) that hides the embedded CPN model and analysis algorithms. This means that COAST is based on a rigorous semantical model...

  9. Life satisfaction and frequency of doctor visits.

    Science.gov (United States)

    Kim, Eric S; Park, Nansook; Sun, Jennifer K; Smith, Jacqui; Peterson, Christopher

    2014-01-01

    Identifying positive psychological factors that reduce health care use may lead to innovative efforts that help build a more sustainable and high-quality health care system. Prospective studies indicate that life satisfaction is associated with good health behaviors, enhanced health, and longer life, but little information about the association between life satisfaction and health care use is available. We tested whether higher life satisfaction was prospectively associated with fewer doctor visits. We also examined potential interactions between life satisfaction and health behaviors. Participants were 6379 adults from the Health and Retirement Study, a prospective and nationally representative panel study of American adults older than 50 years. Participants were tracked for 4 years. We analyzed the data using a generalized linear model with a gamma distribution and log link. Higher life satisfaction was associated with fewer doctor visits. On a 6-point life satisfaction scale, each unit increase in life satisfaction was associated with an 11% decrease in doctor visits--after adjusting for sociodemographic factors (relative risk = 0.89, 95% confidence interval = 0.86-0.93). The most satisfied respondents (n = 1121; 17.58%) made 44% fewer doctor visits than did the least satisfied (n = 182; 2.85%). The association between higher life satisfaction and reduced doctor visits remained even after adjusting for baseline health and a wide range of sociodemographic, psychosocial, and health-related covariates (relative risk = 0.96, 95% confidence interval = 0.93-0.99). Higher life satisfaction is associated with fewer doctor visits, which may have important implications for reducing health care costs.

  10. Visiting Scholars Program | FNLCR Staging

    Science.gov (United States)

    The Visiting Scholars Program (VSP) is a scientific partnership program that offers extramural scientists access to the intellectual capital and state-of-the-art facilities of the Frederick National Laboratory for Cancer Research (FNLCR), the only na

  11. Tests and visits before surgery

    Science.gov (United States)

    Before surgery - tests; Before surgery - doctor visits ... Pre-op is the time before your surgery. It means "before operation." During this time, you will meet with one of your doctors. This may be your surgeon or primary care ...

  12. Three European ministers visit CERN

    CERN Multimedia

    2007-01-01

    There have been three ministerial visits to CERN this month. Gediminas Kirkilas, Prime Minister of Lithuania, and Robert Aymar, CERN’s Director-General.On 2 July, the Prime Minister of Lithuania, Gediminas Kirkilas, was welcomed by CERN’s Director-General, Robert Aymar, before being taken on a visit of the ATLAS cavern at Point 2 and the LHC tunnel. Michal Sewerynski, Poland’s Minister for Science and Higher Education, and Robert Aymar, CERN’s Director-General.Ten days later, Poland’s Minister for Science and Higher Education, Michal Sewerynski, visited the CMS cavern and assembly hall and the LHC tunnel. He was also given a tour of the LHC Computer Centre and the CERN Control Centre. His visit was rounded off with a presentation of Polish companies involved in CERN’s activities, followed by a meeting with Polish personnel working at CERN. J�...

  13. Visit of Spanish Government delegation

    CERN Multimedia

    CERN PhotoLab

    1982-01-01

    A Spanish Government delegation visited CERN before Spain rejoined CERN as a Member State(in 1983). Delegates interested in advanced technologies visited the ISR workshop clean room, where Romeo Perin explained fabrication and properties of stainless steel, titanium and inconel components of vacuum chambers for experiments at the ISR. Left to right: Technical Director Giorgio Brianti, the Spanish Minister of Industry and Energy Mr.Ignacio Bayon Marine , Romeo Perin, a delegate and Director-General Herwig Schopper. See also 8202369.

  14. An integrated user-friendly ArcMAP tool for bivariate statistical modelling in geoscience applications

    Science.gov (United States)

    Jebur, M. N.; Pradhan, B.; Shafri, H. Z. M.; Yusoff, Z. M.; Tehrany, M. S.

    2015-03-01

    Modelling and classification difficulties are fundamental issues in natural hazard assessment. A geographic information system (GIS) is a domain that requires users to use various tools to perform different types of spatial modelling. Bivariate statistical analysis (BSA) assists in hazard modelling. To perform this analysis, several calculations are required and the user has to transfer data from one format to another. Most researchers perform these calculations manually by using Microsoft Excel or other programs. This process is time-consuming and carries a degree of uncertainty. The lack of proper tools to implement BSA in a GIS environment prompted this study. In this paper, a user-friendly tool, bivariate statistical modeler (BSM), for BSA technique is proposed. Three popular BSA techniques, such as frequency ratio, weight-of-evidence (WoE), and evidential belief function (EBF) models, are applied in the newly proposed ArcMAP tool. This tool is programmed in Python and created by a simple graphical user interface (GUI), which facilitates the improvement of model performance. The proposed tool implements BSA automatically, thus allowing numerous variables to be examined. To validate the capability and accuracy of this program, a pilot test area in Malaysia is selected and all three models are tested by using the proposed program. Area under curve (AUC) is used to measure the success rate and prediction rate. Results demonstrate that the proposed program executes BSA with reasonable accuracy. The proposed BSA tool can be used in numerous applications, such as natural hazard, mineral potential, hydrological, and other engineering and environmental applications.

  15. Next-Generation Model-based Variability Management: Languages and Tools

    OpenAIRE

    Acher , Mathieu; Heymans , Patrick; Collet , Philippe; Lahire , Philippe

    2012-01-01

    International audience; Variability modelling and management is a key activity in a growing number of software engineering contexts, from software product lines to dynamic adaptive systems. Feature models are the defacto standard to formally represent and reason about commonality and variability of a software system. This tutorial aims at presenting next generation of feature modelling languages and tools, directly applicable to a wide range of model-based variability problems and application...

  16. NREL Multiphysics Modeling Tools and ISC Device for Designing Safer Li-Ion Batteries

    Energy Technology Data Exchange (ETDEWEB)

    Pesaran, Ahmad A.; Yang, Chuanbo

    2016-03-24

    The National Renewable Energy Laboratory has developed a portfolio of multiphysics modeling tools to aid battery designers better understand the response of lithium ion batteries to abusive conditions. We will discuss this portfolio, which includes coupled electrical, thermal, chemical, electrochemical, and mechanical modeling. These models can simulate the response of a cell to overheating, overcharge, mechanical deformation, nail penetration, and internal short circuit. Cell-to-cell thermal propagation modeling will be discussed.

  17. Rapid evaluation of machine tools with position-dependent milling stability based on response surface model

    Directory of Open Access Journals (Sweden)

    Li Zhang

    2016-03-01

    Full Text Available The milling stability is one of the important evaluation criterions of dynamic characteristics of machine tools, and it is of great importance for machine tools’ design and manufacturing. The milling stability of machine tools generally varies with the position combinations of moving parts. The traditional milling stability analysis of machine tools is based on some specific positions in the whole workspace of machine tools, and the results are not comprehensive. Furthermore, it is very time-consuming for operation and calculation to complete analysis of multiple positions. A new method to rapidly evaluate the stability of machine tools with position dependence is developed in this article. In this method, the key position combinations of moving parts are set as the samples of calculation to calculate the dynamic characteristics of machine tools with SAMCEF finite element simulation analysis software. Then the minimum critical axial cutting depth of each sample is obtained. The relationship between the position and the value of minimum critical axial cutting depth at any position in the whole workspace can be obtained through established response surface model. The precision of the response surface model is evaluated and the model could be used to rapidly evaluate the milling stability of machine tools with position dependence. With a precision horizontal machining center with box-in-box structure as an example, the value of minimum critical axial cutting depth at any position is shown. This method of rapid evaluation of machine tools with position-dependent stability avoids complicated theoretical calculation, so it can be easily adopted by engineers and technicians in the phase of design process of machine tools.

  18. Extracting Visited Points of Interest from Vehicle Trajectories

    DEFF Research Database (Denmark)

    Keles, Ilkcan; Schubert, Matthias; Kröger, Peer

    2017-01-01

    Identifying visited points of interest (PoIs) from vehicle trajectories remains an open problem that is difficult due to vehicles parking often at some distance from the visited PoI and due to some regions having a high PoI density. We propose a visited PoI extraction (VPE) method that identifies...... a precision@3 value of 0.8, indicating that VPE is able to model the relationship between the temporal features of a stop and the category of the visited PoI....

  19. Error Modeling and Sensitivity Analysis of a Five-Axis Machine Tool

    Directory of Open Access Journals (Sweden)

    Wenjie Tian

    2014-01-01

    Full Text Available Geometric error modeling and its sensitivity analysis are carried out in this paper, which is helpful for precision design of machine tools. Screw theory and rigid body kinematics are used to establish the error model of an RRTTT-type five-axis machine tool, which enables the source errors affecting the compensable and uncompensable pose accuracy of the machine tool to be explicitly separated, thereby providing designers and/or field engineers with an informative guideline for the accuracy improvement by suitable measures, that is, component tolerancing in design, manufacturing, and assembly processes, and error compensation. The sensitivity analysis method is proposed, and the sensitivities of compensable and uncompensable pose accuracies are analyzed. The analysis results will be used for the precision design of the machine tool.

  20. Computer system for identification of tool wear model in hot forging

    Directory of Open Access Journals (Sweden)

    Wilkus Marek

    2016-01-01

    Full Text Available The aim of the research was to create a methodology that will enable effective and reliable prediction of the tool wear. The idea of the hybrid model, which accounts for various mechanisms of tool material deterioration, is proposed in the paper. The mechanisms, which were considered, include abrasive wear, adhesive wear, thermal fatigue, mechanical fatigue, oxidation and plastic deformation. Individual models of various complexity were used for separate phenomena and strategy of combination of these models in one hybrid system was developed to account for the synergy of various mechanisms. The complex hybrid model was built on the basis of these individual models for various wear mechanisms. The individual models expanded from phenomenological ones for abrasive wear to multi-scale methods for modelling micro cracks initiation and propagation utilizing virtual representations of granular microstructures. The latter have been intensively developed recently and they form potentially a powerful tool that allows modelling of thermal and mechanical fatigue, accounting explicitly for the tool material microstructure.

  1. California Geriatric Education Center Logic Model: An Evaluation and Communication Tool

    Science.gov (United States)

    Price, Rachel M.; Alkema, Gretchen E.; Frank, Janet C.

    2009-01-01

    A logic model is a communications tool that graphically represents a program's resources, activities, priority target audiences for change, and the anticipated outcomes. This article describes the logic model development process undertaken by the California Geriatric Education Center in spring 2008. The CGEC is one of 48 Geriatric Education…

  2. Circumplex Model of Family Systems: A Treatment Tool in Family Counseling.

    Science.gov (United States)

    Maynard, Peter E.; Olson, David H.

    1987-01-01

    Describes the Circumplex Model of Marital and Family Systems and its diagnostic inventory, the Family Adaptation and Coping Evaluation Scales, as important tools for the family counselor. A brief case example demonstrates how the model can be used in counseling a multiproblem family. (NB)

  3. Coloured Petri Nets and CPN Tools for Modelling and Validation of Concurrent Systems

    DEFF Research Database (Denmark)

    Jensen, Kurt; Kristensen, Lars Michael; Wells, Lisa Marie

    2007-01-01

    Coloured Petri Nets (CPNs) is a language for the modeling and validation og systems in which concurrency, communication, and synchronisation play a major role. Coloured Petri Nets is a descrete-event modeling language combining Petri Nets with the funcitonal programming language Standard ML. Petri...... nets provide the doundation of the graphical notation and the basic primitives for modeling concurrency, communication, and synchronisation. Standard ML provides the primitives for the defintion of data types, describing data manipulation, and for creation compact and prarmeterisable models. A CPN...... taken to execute events in the modelled system. CPN Tolls is an industrial-strength computer tool for construction and analysing CPN models. Using CPN Tools, it is possible to investigate the behaviour of the modelled system using simulation, to verify properties by means of state sp0ece methods...

  4. Force Sensor Based Tool Condition Monitoring Using a Heterogeneous Ensemble Learning Model

    Directory of Open Access Journals (Sweden)

    Guofeng Wang

    2014-11-01

    Full Text Available Tool condition monitoring (TCM plays an important role in improving machining efficiency and guaranteeing workpiece quality. In order to realize reliable recognition of the tool condition, a robust classifier needs to be constructed to depict the relationship between tool wear states and sensory information. However, because of the complexity of the machining process and the uncertainty of the tool wear evolution, it is hard for a single classifier to fit all the collected samples without sacrificing generalization ability. In this paper, heterogeneous ensemble learning is proposed to realize tool condition monitoring in which the support vector machine (SVM, hidden Markov model (HMM and radius basis function (RBF are selected as base classifiers and a stacking ensemble strategy is further used to reflect the relationship between the outputs of these base classifiers and tool wear states. Based on the heterogeneous ensemble learning classifier, an online monitoring system is constructed in which the harmonic features are extracted from force signals and a minimal redundancy and maximal relevance (mRMR algorithm is utilized to select the most prominent features. To verify the effectiveness of the proposed method, a titanium alloy milling experiment was carried out and samples with different tool wear states were collected to build the proposed heterogeneous ensemble learning classifier. Moreover, the homogeneous ensemble learning model and majority voting strategy are also adopted to make a comparison. The analysis and comparison results show that the proposed heterogeneous ensemble learning classifier performs better in both classification accuracy and stability.

  5. It's all change at the visit points

    CERN Multimedia

    Laëtitia Pedroso

    2011-01-01

    58,000 people visited CERN in 2010. In spite of this success, the Organization has plans to review the installations at the various visit points with a view to making the links between them clearer and, above all, making tours of the Laboratory more spectacular.   CERN Control Centre. The permanent exhibition in the Globe of Science and Innovation, the "Universe of Particles", attracts large numbers of visitors. A high-tech venue offering an overview of CERN's research goals, tools and impact throughout the world, the Globe acts as a showcase for the Laboratory. "The Globe is an ideal place to start a tour of CERN. After experiencing a virtual experiment at the heart of the Universe, visitors are keen to find out what's behind it all, to know more about the research we do here at CERN.When it was still possible to see the LHC detectors, visitors were bowled over by their huge size. To continue to surprise them to the same extent, we are planning to reorganise the visit...

  6. Tool flank wear model and parametric optimization in end milling of metal matrix composite using carbide tool: Response surface methodology approach

    Directory of Open Access Journals (Sweden)

    R. Arokiadass

    2012-04-01

    Full Text Available Highly automated CNC end milling machines in manufacturing industry requires reliable model for prediction of tool flank wear. This model later can be used to predict the tool flank wear (VBmax according to the process parameters. In this investigation an attempt was made to develop an empirical relationship to predict the tool flank wear (VBmax of carbide tools while machining LM25 Al/SiCp incorporating the process parameters such as spindle speed (N, feed rate (f, depth of cut (d and various % wt. of silicon carbide (S. Response surface methodology (RSM was applied to optimizing the end milling process parameters to attain the minimum tool flank wear. Predicted values obtained from the developed model and experimental results are compared, and error <5 percent is observed. In addition, it is concluded that the flank wear increases with the increase of SiCp percentage weight in the MMC.

  7. The involvement of private general practitioners in visiting primary ...

    African Journals Online (AJOL)

    Clear expectations and a confusion of roles leads to lack of teamwork, thus it is important to have clearly established models for such involvement. Doctors working in district hospitals mostly visit clinics, but their workload, staff shortages and transport often interfere with these visits. As a form of private-public partnership, ...

  8. Thermomechanical modelling of laser surface glazing for H13 tool steel

    Science.gov (United States)

    Kabir, I. R.; Yin, D.; Tamanna, N.; Naher, S.

    2018-03-01

    A two-dimensional thermomechanical finite element (FE) model of laser surface glazing (LSG) has been developed for H13 tool steel. The direct coupling technique of ANSYS 17.2 (APDL) has been utilised to solve the transient thermomechanical process. A H13 tool steel cylindrical cross-section has been modelled for laser power 200 W and 300 W at constant 0.2 mm beam width and 0.15 ms residence time. The model can predict temperature distribution, stress-strain increments in elastic and plastic region with time and space. The crack formation tendency also can be assumed by analysing the von Mises stress in the heat-concentrated zone. Isotropic and kinematic hardening models have been applied separately to predict the after-yield phenomena. At 200 W laser power, the peak surface temperature achieved is 1520 K which is below the melting point (1727 K) of H13 tool steel. For laser power 300 W, the peak surface temperature is 2523 K. Tensile residual stresses on surface have been found after cooling, which are in agreement with literature. Isotropic model shows higher residual stress that increases with laser power. Conversely, kinematic model gives lower residual stress which decreases with laser power. Therefore, both plasticity models could work in LSG for H13 tool steel.

  9. Cloud-Based Tools to Support High-Resolution Modeling (Invited)

    Science.gov (United States)

    Jones, N.; Nelson, J.; Swain, N.; Christensen, S.

    2013-12-01

    The majority of watershed models developed to support decision-making by water management agencies are simple, lumped-parameter models. Maturity in research codes and advances in the computational power from multi-core processors on desktop machines, commercial cloud-computing resources, and supercomputers with thousands of cores have created new opportunities for employing more accurate, high-resolution distributed models for routine use in decision support. The barriers for using such models on a more routine basis include massive amounts of spatial data that must be processed for each new scenario and lack of efficient visualization tools. In this presentation we will review a current NSF-funded project called CI-WATER that is intended to overcome many of these roadblocks associated with high-resolution modeling. We are developing a suite of tools that will make it possible to deploy customized web-based apps for running custom scenarios for high-resolution models with minimal effort. These tools are based on a software stack that includes 52 North, MapServer, PostGIS, HT Condor, CKAN, and Python. This open source stack provides a simple scripting environment for quickly configuring new custom applications for running high-resolution models as geoprocessing workflows. The HT Condor component facilitates simple access to local distributed computers or commercial cloud resources when necessary for stochastic simulations. The CKAN framework provides a powerful suite of tools for hosting such workflows in a web-based environment that includes visualization tools and storage of model simulations in a database to archival, querying, and sharing of model results. Prototype applications including land use change, snow melt, and burned area analysis will be presented. This material is based upon work supported by the National Science Foundation under Grant No. 1135482

  10. UN Secretary General visits CERN

    CERN Multimedia

    2008-01-01

    UN Secretary General praises CERN in recent visit. Ban Ki-moon, Robert Aymar, CERN Director-General, and Sergei Ordzhonikidze, Director-General of the United Nations Office in Geneva at the CMS site.On Sunday 31 August, Ban Ki-moon, the UN Secretary General, made an important visit to CERN. Arriving in the late afternoon, he was warmly greeted at Point 5 by Robert Aymar, the Director-General, and the Sous-préfet of Gex, Olivier Laurens-Bernard. Accompanied by a UN delegation, Ban Ki-moon was also introduced to Jos Engelen, the Chief Scientific Officer, and Jim Virdee, the CMS spokesperson. He then took the opportunity to visit CMS and the machine tunnel. At the end of his short trip, Ban Ki-moon signed the Guest Book in the tradition of important dignitaries visiting CERN. Expressing his admiration for CERN’s spirit of collaboration, Ban Ki-moon said, "I am very honored to visit CERN, an invaluable scientific institution a...

  11. Modelling thermomechanical conditions at the tool/matrix interface in Friction Stir Welding

    DEFF Research Database (Denmark)

    Schmidt, Henrik Nikolaj Blich; Hattel, Jesper

    2004-01-01

    In friction stir welding the material flow is among others controlled by the contact condition at the tool interface, the thermomechanical state of the matrix and the welding parameters. The conditions under which the deposition process is successful are not fully understood and in most models...... frictional and plastic dissipation. Of special interest is the contact condition along the shoulder/matrix and probe/matrix interfaces, as especially the latter affects the efficiency of the deposition process. The thermo-mechanical state in the workpiece is established by modelling both the dwell and weld...... presented previously in literature, the modelling of the material flow at the tool interface has been prescribed as boundary conditions, i.e. the material is forced to keep contact with the tool. The objective of the present work is to analyse the thermomechanical conditions under which a consolidated weld...

  12. Snoopy's hybrid simulator: a tool to construct and simulate hybrid biological models.

    Science.gov (United States)

    Herajy, Mostafa; Liu, Fei; Rohr, Christian; Heiner, Monika

    2017-07-28

    Hybrid simulation of (computational) biochemical reaction networks, which combines stochastic and deterministic dynamics, is an important direction to tackle future challenges due to complex and multi-scale models. Inherently hybrid computational models of biochemical networks entail two time scales: fast and slow. Therefore, it is intricate to efficiently and accurately analyse them using only either deterministic or stochastic simulation. However, there are only a few software tools that support such an approach. These tools are often limited with respect to the number as well as the functionalities of the provided hybrid simulation algorithms. We present Snoopy's hybrid simulator, an efficient hybrid simulation software which builds on Snoopy, a tool to construct and simulate Petri nets. Snoopy's hybrid simulator provides a wide range of state-of-the-art hybrid simulation algorithms. Using this tool, a computational model of biochemical networks can be constructed using a (coloured) hybrid Petri net's graphical notations, or imported from other compatible formats (e.g. SBML), and afterwards executed via dynamic or static hybrid simulation. Snoopy's hybrid simulator is a platform-independent tool providing an accurate and efficient simulation of hybrid (biological) models. It can be downloaded free of charge as part of Snoopy from http://www-dssz.informatik.tu-cottbus.de/DSSZ/Software/Snoopy .

  13. A Temperature Sensor Clustering Method for Thermal Error Modeling of Heavy Milling Machine Tools

    Directory of Open Access Journals (Sweden)

    Fengchun Li

    2017-01-01

    Full Text Available A clustering method is an effective way to select the proper temperature sensor location for thermal error modeling of machine tools. In this paper, a new temperature sensor clustering method is proposed. By analyzing the characteristics of the temperature of the sensors in a heavy floor-type milling machine tool, an indicator involving both the Euclidean distance and the correlation coefficient was proposed to reflect the differences between temperature sensors, and the indicator was expressed by a distance matrix to be used for hierarchical clustering. Then, the weight coefficient in the distance matrix and the number of the clusters (groups were optimized by a genetic algorithm (GA, and the fitness function of the GA was also rebuilt by establishing the thermal error model at one rotation speed, then deriving its accuracy at two different rotation speeds with a temperature disturbance. Thus, the parameters for clustering, as well as the final selection of the temperature sensors, were derived. Finally, the method proposed in this paper was verified on a machine tool. According to the selected temperature sensors, a thermal error model of the machine tool was established and used to predict the thermal error. The results indicate that the selected temperature sensors can accurately predict thermal error at different rotation speeds, and the proposed temperature sensor clustering method for sensor selection is expected to be used for the thermal error modeling for other machine tools.

  14. Tools for macromolecular model building and refinement into electron cryo-microscopy reconstructions

    International Nuclear Information System (INIS)

    Brown, Alan; Long, Fei; Nicholls, Robert A.; Toots, Jaan; Emsley, Paul; Murshudov, Garib

    2015-01-01

    A description is given of new tools to facilitate model building and refinement into electron cryo-microscopy reconstructions. The recent rapid development of single-particle electron cryo-microscopy (cryo-EM) now allows structures to be solved by this method at resolutions close to 3 Å. Here, a number of tools to facilitate the interpretation of EM reconstructions with stereochemically reasonable all-atom models are described. The BALBES database has been repurposed as a tool for identifying protein folds from density maps. Modifications to Coot, including new Jiggle Fit and morphing tools and improved handling of nucleic acids, enhance its functionality for interpreting EM maps. REFMAC has been modified for optimal fitting of atomic models into EM maps. As external structural information can enhance the reliability of the derived atomic models, stabilize refinement and reduce overfitting, ProSMART has been extended to generate interatomic distance restraints from nucleic acid reference structures, and a new tool, LIBG, has been developed to generate nucleic acid base-pair and parallel-plane restraints. Furthermore, restraint generation has been integrated with visualization and editing in Coot, and these restraints have been applied to both real-space refinement in Coot and reciprocal-space refinement in REFMAC

  15. Tools for macromolecular model building and refinement into electron cryo-microscopy reconstructions

    Energy Technology Data Exchange (ETDEWEB)

    Brown, Alan; Long, Fei; Nicholls, Robert A.; Toots, Jaan; Emsley, Paul; Murshudov, Garib, E-mail: garib@mrc-lmb.cam.ac.uk [MRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge CB2 0QH (United Kingdom)

    2015-01-01

    A description is given of new tools to facilitate model building and refinement into electron cryo-microscopy reconstructions. The recent rapid development of single-particle electron cryo-microscopy (cryo-EM) now allows structures to be solved by this method at resolutions close to 3 Å. Here, a number of tools to facilitate the interpretation of EM reconstructions with stereochemically reasonable all-atom models are described. The BALBES database has been repurposed as a tool for identifying protein folds from density maps. Modifications to Coot, including new Jiggle Fit and morphing tools and improved handling of nucleic acids, enhance its functionality for interpreting EM maps. REFMAC has been modified for optimal fitting of atomic models into EM maps. As external structural information can enhance the reliability of the derived atomic models, stabilize refinement and reduce overfitting, ProSMART has been extended to generate interatomic distance restraints from nucleic acid reference structures, and a new tool, LIBG, has been developed to generate nucleic acid base-pair and parallel-plane restraints. Furthermore, restraint generation has been integrated with visualization and editing in Coot, and these restraints have been applied to both real-space refinement in Coot and reciprocal-space refinement in REFMAC.

  16. Agent-based modeling as a tool for program design and evaluation.

    Science.gov (United States)

    Lawlor, Jennifer A; McGirr, Sara

    2017-12-01

    Recently, systems thinking and systems science approaches have gained popularity in the field of evaluation; however, there has been relatively little exploration of how evaluators could use quantitative tools to assist in the implementation of systems approaches therein. The purpose of this paper is to explore potential uses of one such quantitative tool, agent-based modeling, in evaluation practice. To this end, we define agent-based modeling and offer potential uses for it in typical evaluation activities, including: engaging stakeholders, selecting an intervention, modeling program theory, setting performance targets, and interpreting evaluation results. We provide demonstrative examples from published agent-based modeling efforts both inside and outside the field of evaluation for each of the evaluative activities discussed. We further describe potential pitfalls of this tool and offer cautions for evaluators who may chose to implement it in their practice. Finally, the article concludes with a discussion of the future of agent-based modeling in evaluation practice and a call for more formal exploration of this tool as well as other approaches to simulation modeling in the field. Copyright © 2017 Elsevier Ltd. All rights reserved.

  17. Life Satisfaction and Frequency of Doctor Visits

    Science.gov (United States)

    Kim, Eric S.; Park, Nansook; Sun, Jennifer K.; Smith, Jacqui; Peterson, Christopher

    2015-01-01

    Objective Identifying positive psychological factors that reduce health care use may lead to innovative efforts that help build a more sustainable and high quality health care system. Prospective studies indicate that life satisfaction is associated with good health behaviors, enhanced health, and longer life, but little information is available about the association between life satisfaction and health care use. We tested whether higher life satisfaction was prospectively associated with fewer doctor visits. We also examined potential interactions between life satisfaction and health behaviors. Methods Participants were 6,379 adults from the Health and Retirement Study, a prospective and nationally representative panel study of American adults over the age of 50. Participants were tracked for four years. We analyzed the data using a generalized linear model with a gamma distribution and log link. Results Higher life satisfaction was associated with fewer doctor visits. On a six-point life satisfaction scale, each unit increase in life satisfaction was associated with an 11% decrease in doctor visits—after adjusting for sociodemographic factors (RR = 0.89, 95% CI = 0.86 to 0.93). The most satisfied respondents (N=1,121; 17.58%) made 44% fewer doctor visits than the least satisfied (N=182; 2.85%). The association between higher life satisfaction and reduced doctor visits remained even after adjusting for baseline health and a wide range of sociodemographic, psychosocial, and health-related covariates (RR = 0.96, 95% CI = 0.93 to 0.99). Conclusions Higher life satisfaction is associated with fewer doctor visits, which may have important implications for reducing health care costs. PMID:24336427

  18. About an Optimal Visiting Problem

    Energy Technology Data Exchange (ETDEWEB)

    Bagagiolo, Fabio, E-mail: bagagiol@science.unitn.it; Benetton, Michela [Unversita di Trento, Dipartimento di Matematica (Italy)

    2012-02-15

    In this paper we are concerned with the optimal control problem consisting in minimizing the time for reaching (visiting) a fixed number of target sets, in particular more than one target. Such a problem is of course reminiscent of the famous 'Traveling Salesman Problem' and brings all its computational difficulties. Our aim is to apply the dynamic programming technique in order to characterize the value function of the problem as the unique viscosity solution of a suitable Hamilton-Jacobi equation. We introduce some 'external' variables, one per target, which keep in memory whether the corresponding target is already visited or not, and we transform the visiting problem in a suitable Mayer problem. This fact allows us to overcome the lacking of the Dynamic Programming Principle for the originary problem. The external variables evolve with a hysteresis law and the Hamilton-Jacobi equation turns out to be discontinuous.

  19. A Finnish delegation visits CERN

    CERN Multimedia

    2001-01-01

    Minister Maija Rask (front, centre) led a Finnish delegation on a visit to CERN last week. Here the delegation inspects CMS preparations with the collaboration's spokesman Michel Della Negra (front, left). On 19 February Finnish Minister of Education, Mrs Maija Rask, visited CERN. She led a delegation composed of Mr. Pekka Huttaniemi, Permanent Representative of Finland to the United Nations, Mrs Pirjo Välinoro, Ministerial Counsellor (Economic affairs), Mr Markku Linna, Director General of the Ministry of Education, and Mr Tapio Kosunen, Special Adviser at the Ministry. Accompanied by Director General Luciano Maiani, the delegation visited CMS experiment and the LHC superconducting magnet test hall, and met Finnish students and scientists at CERN.

  20. Visits from Croatia and Belarus

    CERN Multimedia

    2003-01-01

    On 23 September, CERN was visited by two Ministers, Anatoly Rusetsky, Chairman of the Committee on Science and Technology of the Republic of Belarus, and Professor Gvozden Flego, Croatian Minister of Science and Technology. Mr Rusetsky met with Roger Cashmore, Research Director for Collider Programmes, and Michel Della Negra, spokesperson of the CMS experiment, and visited the CMS detector assembly hall. Professor Flego also met Mr Cashmore and visited the NA49 and CAST experiments, the LHC superconducting magnet test hall, the ALICE experiment cavern, and the assembly hall for the CMS experiment. From left to right: Nikola Godinovic, working at CMS, Jürgen Schukraft, ALICE spokesperson, Gordan Markotic, Ambassador and Permanent Representative of Croatia to the United Nations and other international organisations in Geneva, Professor Gvozden Flego, Minister of Science and Technology, Republic of Croatia.

  1. About an Optimal Visiting Problem

    International Nuclear Information System (INIS)

    Bagagiolo, Fabio; Benetton, Michela

    2012-01-01

    In this paper we are concerned with the optimal control problem consisting in minimizing the time for reaching (visiting) a fixed number of target sets, in particular more than one target. Such a problem is of course reminiscent of the famous “Traveling Salesman Problem” and brings all its computational difficulties. Our aim is to apply the dynamic programming technique in order to characterize the value function of the problem as the unique viscosity solution of a suitable Hamilton–Jacobi equation. We introduce some “external” variables, one per target, which keep in memory whether the corresponding target is already visited or not, and we transform the visiting problem in a suitable Mayer problem. This fact allows us to overcome the lacking of the Dynamic Programming Principle for the originary problem. The external variables evolve with a hysteresis law and the Hamilton–Jacobi equation turns out to be discontinuous

  2. DPT Researchers’ Visit to Moscow

    DEFF Research Database (Denmark)

    Singla, Rashmi; Popova, Margarita

    2018-01-01

    members and students. These presentations aroused great interest and sparked lively discussions. One highlight of our visit was an excursion to the Toys and Play Research Center. A vast collection of psychologically recommended and not-recommended toys for children’s play was presented in action......, and reasons discussed for this classification. Another highlight was the visit of Moscow School 91, a world-renowned school, functioning on Vygotsky’s and Leontiev’s principles. The child is regarded as a subject, not an object of teaching, able to reflect and understand the laws upon which the teaching...... to MSUPE. Focus here is on investigation of fundamental psychological problems to the practice-oriented problems of human development. A wonderful example of Social entrepreneurship as an illustration of activity theory application in social practice was provided through the visit of a social intervention...

  3. Italy's Prime Minister visits CERN

    CERN Multimedia

    Stefania Pandolfi

    2015-01-01

    On Tuesday, 7 July 2015, the Prime Minister of the Italian Republic, Matteo Renzi, visited CERN. He was accompanied by a delegation that included Italy's Minister for Education, University and Research, Stefania Giannini.   From left to right: Fernando Ferroni, President of the Istituto Nazionale di Fisica Nucleare (INFN); Sergio Bertolucci, CERN Director for Research and Scientific Computing; Stefania Giannini, Italy's Minister of Education, University and Research; Matteo Renzi, Prime Minister of the Italian Republic; Fabiola Gianotti, CERN Director-General Designate; Rolf Heuer, CERN Director-General.   The Prime Minister was welcomed by members of the CERN Management together with former CERN Director-General and Senator for Life of the Italian Republic, Carlo Rubbia. After a brief general introduction to CERN’s activities by Rolf Heuer, the Italian delegation visited LHC Point 1. After a tour of the ATLAS control room, they donned helmets to visit th...

  4. Model and numerical analysis of mechanical phenomena of tools steel hardening

    Directory of Open Access Journals (Sweden)

    A. Bokota

    2010-01-01

    Full Text Available This paper the model hardening of tool steel takes into considerations of mechanical phenomena is presented. Fields stresses and strains are obtained from solutions by FEM equilibrium equations in rate form. The stresses generated during hardening were assumed to result from thermal load, structural deformation, and plastic deformation and transformation plasticity. Thermophysical values in the constitutive relations are depended upon both the temperature and the phase composition. Condition Huber-Misses with the isotropic strengthening for the creation of plastic strains is used. However model Leblond to determined transformations plasticity applied. The analysis of stresses associated of the elements hardening made of tool steel was done.

  5. An axisymmetrical non-linear finite element model for induction heating in injection molding tools

    DEFF Research Database (Denmark)

    Guerrier, Patrick; Nielsen, Kaspar Kirstein; Menotti, Stefano

    2016-01-01

    To analyze the heating and cooling phase of an induction heated injection molding tool accurately, the temperature dependent magnetic properties, namely the non-linear B-H curves, need to be accounted for in an induction heating simulation. Hence, a finite element model has been developed...... in to the injection molding tool. The model shows very good agreement with the experimental temperature measurements. It is also shown that the non-linearity can be used without the temperature dependency in some cases, and a proposed method is presented of how to estimate an effective linear permeability to use...

  6. Geography and travel distance impact emergency department visits.

    Science.gov (United States)

    Henneman, Philip L; Garb, Jane L; Capraro, Geoffrey A; Li, Haiping; Smithline, Howard A; Wait, Richard B

    2011-03-01

    Little has been written about the geographic basis of emergency department (ED) visits. The objective of this study is to describe the impact of geography on ED visits. A retrospective analysis was conducted of ED visits during a 1-year period at a single institution using spatial interaction analysis that models the pattern of flow between a series of origins (census block groups) and a destination (ED). Patients were assigned to census block groups based upon their verified home address. The study hospital is the only Level I trauma, pediatric, and tertiary referral center in the area. There are 11 other hospitals with EDs within a 40-mile radius. Each patient visit within this radius, including repeat visits, was included. Patients with an invalid home address, a post office box address, or those who lived outside a 40-mile radius were excluded. ED visits per 100 population were calculated for each census block group. There were 98,584 (95%) visits by 63,524 patients that met study inclusion criteria. Visit rates decreased with increasing distance from the ED (p Geography and travel distance significantly impact ED visits. Copyright © 2011 Elsevier Inc. All rights reserved.

  7. Analysis, Design, Implementation and Evaluation of Graphical Design Tool to Develop Discrete Event Simulation Models Using Event Graphs and Simkit

    National Research Council Canada - National Science Library

    San

    2001-01-01

    ... (OR) modeling and analysis. However, designing and implementing DES can be a time-consuming and error-prone task, This thesis designed, implemented and evaluated a tool, the Event Graph Graphical Design Tool (EGGDT...

  8. Final Report: Simulation Tools for Parallel Microwave Particle in Cell Modeling

    International Nuclear Information System (INIS)

    Stoltz, Peter H.

    2008-01-01

    Transport of high-power rf fields and the subsequent deposition of rf power into plasma is an important component of developing tokamak fusion energy. Two limitations on rf heating are: (i) breakdown of the metallic structures used to deliver rf power to the plasma, and (ii) a detailed understanding of how rf power couples into a plasma. Computer simulation is a main tool for helping solve both of these problems, but one of the premier tools, VORPAL, is traditionally too difficult to use for non-experts. During this Phase II project, we developed the VorpalView user interface tool. This tool allows Department of Energy researchers a fully graphical interface for analyzing VORPAL output to more easily model rf power delivery and deposition in plasmas.

  9. Clinical Prediction Model and Tool for Assessing Risk of Persistent Pain After Breast Cancer Surgery

    DEFF Research Database (Denmark)

    Meretoja, Tuomo J; Andersen, Kenneth Geving; Bruce, Julie

    2017-01-01

    are missing. The aim was to develop a clinically applicable risk prediction tool. Methods The prediction models were developed and tested using three prospective data sets from Finland (n = 860), Denmark (n = 453), and Scotland (n = 231). Prediction models for persistent pain of moderate to severe intensity......), high body mass index ( P = .039), axillary lymph node dissection ( P = .008), and more severe acute postoperative pain intensity at the seventh postoperative day ( P = .003) predicted persistent pain in the final prediction model, which performed well in the Danish (ROC-AUC, 0.739) and Scottish (ROC......-AUC, 0.740) cohorts. At the 20% risk level, the model had 32.8% and 47.4% sensitivity and 94.4% and 82.4% specificity in the Danish and Scottish cohorts, respectively. Conclusion Our validated prediction models and an online risk calculator provide clinicians and researchers with a simple tool to screen...

  10. Modelling tools to evaluate China's future energy system - a review of the Chinese perspective

    DEFF Research Database (Denmark)

    Mischke, Peggy; Karlsson, Kenneth Bernard

    2014-01-01

    compares 18 energy modelling tools from ten Chinese institutions. These models have been described in English language publications between 2005 and 2013, although not all are published in peer-reviewed journals. When comparing the results for three main energy system indicators across models, this paper...... finds that there are considerable ranges in the reference scenarios: (i) GDP is projected to grow by 630e840% from 2010 to 2050, (ii) energy demand could increase by 200e300% from 2010 to 2050, and (iii) CO2 emissions could rise by 160e250% from 2010 to 2050. Although the access to the modelling tools...... and the underlying data remains challenging, this study concludes that the Chinese perspective, independently from the modelling approach and institution, suggests a rather gradual and long-term transition towards a low carbon economy in China. Few reference scenarios include an emission peak or stabilisation period...

  11. PVeStA: A Parallel Statistical Model Checking and Quantitative Analysis Tool

    KAUST Repository

    AlTurki, Musab

    2011-01-01

    Statistical model checking is an attractive formal analysis method for probabilistic systems such as, for example, cyber-physical systems which are often probabilistic in nature. This paper is about drastically increasing the scalability of statistical model checking, and making such scalability of analysis available to tools like Maude, where probabilistic systems can be specified at a high level as probabilistic rewrite theories. It presents PVeStA, an extension and parallelization of the VeStA statistical model checking tool [10]. PVeStA supports statistical model checking of probabilistic real-time systems specified as either: (i) discrete or continuous Markov Chains; or (ii) probabilistic rewrite theories in Maude. Furthermore, the properties that it can model check can be expressed in either: (i) PCTL/CSL, or (ii) the QuaTEx quantitative temporal logic. As our experiments show, the performance gains obtained from parallelization can be very high. © 2011 Springer-Verlag.

  12. Stennis visits Lake Cormorant school

    Science.gov (United States)

    2010-01-01

    Alexis Harry, assistant director of Astro Camp at NASA's John C. Stennis Space Center, talks with students at Lake Cormorant (Miss.) Elementary School during a 'Living and Working in Space' presentation March 30. Stennis hosted the school presentation during a visit to the Oxford area. Harry, who also is a high school biology teacher in Slidell, La., spent time discussing space travel with students and answering questions they had about the experience, including queries about how astronauts eat, sleep and drink in space. The presentation was sponsored by the NASA Office of External Affairs and Education at Stennis. For more information about NASA education initiatives, visit: http://education.ssc.nasa.gov/.

  13. Update on Small Modular Reactors Dynamics System Modeling Tool -- Molten Salt Cooled Architecture

    Energy Technology Data Exchange (ETDEWEB)

    Hale, Richard Edward [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Cetiner, Sacit M. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Fugate, David L. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Qualls, A L. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Borum, Robert C. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Chaleff, Ethan S. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Rogerson, Doug W. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Batteh, John J. [Modelon Corporation (Sweden); Tiller, Michael M. [Xogeny Corporation, Canton, MI (United States)

    2014-08-01

    The Small Modular Reactor (SMR) Dynamic System Modeling Tool project is in the third year of development. The project is designed to support collaborative modeling and study of various advanced SMR (non-light water cooled) concepts, including the use of multiple coupled reactors at a single site. The objective of the project is to provide a common simulation environment and baseline modeling resources to facilitate rapid development of dynamic advanced reactor SMR models, ensure consistency among research products within the Instrumentation, Controls, and Human-Machine Interface (ICHMI) technical area, and leverage cross-cutting capabilities while minimizing duplication of effort. The combined simulation environment and suite of models are identified as the Modular Dynamic SIMulation (MoDSIM) tool. The critical elements of this effort include (1) defining a standardized, common simulation environment that can be applied throughout the program, (2) developing a library of baseline component modules that can be assembled into full plant models using existing geometry and thermal-hydraulic data, (3) defining modeling conventions for interconnecting component models, and (4) establishing user interfaces and support tools to facilitate simulation development (i.e., configuration and parameterization), execution, and results display and capture.

  14. Thermal Error Modeling of a Machine Tool Using Data Mining Scheme

    Science.gov (United States)

    Wang, Kun-Chieh; Tseng, Pai-Chang

    In this paper the knowledge discovery technique is used to build an effective and transparent mathematic thermal error model for machine tools. Our proposed thermal error modeling methodology (called KRL) integrates the schemes of K-means theory (KM), rough-set theory (RS), and linear regression model (LR). First, to explore the machine tool's thermal behavior, an integrated system is designed to simultaneously measure the temperature ascents at selected characteristic points and the thermal deformations at spindle nose under suitable real machining conditions. Second, the obtained data are classified by the KM method, further reduced by the RS scheme, and a linear thermal error model is established by the LR technique. To evaluate the performance of our proposed model, an adaptive neural fuzzy inference system (ANFIS) thermal error model is introduced for comparison. Finally, a verification experiment is carried out and results reveal that the proposed KRL model is effective in predicting thermal behavior in machine tools. Our proposed KRL model is transparent, easily understood by users, and can be easily programmed or modified for different machining conditions.

  15. Interactive, open source, travel time scenario modelling: tools to facilitate participation in health service access analysis.

    Science.gov (United States)

    Fisher, Rohan; Lassa, Jonatan

    2017-04-18

    Modelling travel time to services has become a common public health tool for planning service provision but the usefulness of these analyses is constrained by the availability of accurate input data and limitations inherent in the assumptions and parameterisation. This is particularly an issue in the developing world where access to basic data is limited and travel is often complex and multi-modal. Improving the accuracy and relevance in this context requires greater accessibility to, and flexibility in, travel time modelling tools to facilitate the incorporation of local knowledge and the rapid exploration of multiple travel scenarios. The aim of this work was to develop simple open source, adaptable, interactive travel time modelling tools to allow greater access to and participation in service access analysis. Described are three interconnected applications designed to reduce some of the barriers to the more wide-spread use of GIS analysis of service access and allow for complex spatial and temporal variations in service availability. These applications are an open source GIS tool-kit and two geo-simulation models. The development of these tools was guided by health service issues from a developing world context but they present a general approach to enabling greater access to and flexibility in health access modelling. The tools demonstrate a method that substantially simplifies the process for conducting travel time assessments and demonstrate a dynamic, interactive approach in an open source GIS format. In addition this paper provides examples from empirical experience where these tools have informed better policy and planning. Travel and health service access is complex and cannot be reduced to a few static modeled outputs. The approaches described in this paper use a unique set of tools to explore this complexity, promote discussion and build understanding with the goal of producing better planning outcomes. The accessible, flexible, interactive and

  16. Bio-logic builder: a non-technical tool for building dynamical, qualitative models.

    Science.gov (United States)

    Helikar, Tomáš; Kowal, Bryan; Madrahimov, Alex; Shrestha, Manish; Pedersen, Jay; Limbu, Kahani; Thapa, Ishwor; Rowley, Thaine; Satalkar, Rahul; Kochi, Naomi; Konvalina, John; Rogers, Jim A

    2012-01-01

    Computational modeling of biological processes is a promising tool in biomedical research. While a large part of its potential lies in the ability to integrate it with laboratory research, modeling currently generally requires a high degree of training in mathematics and/or computer science. To help address this issue, we have developed a web-based tool, Bio-Logic Builder, that enables laboratory scientists to define mathematical representations (based on a discrete formalism) of biological regulatory mechanisms in a modular and non-technical fashion. As part of the user interface, generalized "bio-logic" modules have been defined to provide users with the building blocks for many biological processes. To build/modify computational models, experimentalists provide purely qualitative information about a particular regulatory mechanisms as is generally found in the laboratory. The Bio-Logic Builder subsequently converts the provided information into a mathematical representation described with Boolean expressions/rules. We used this tool to build a number of dynamical models, including a 130-protein large-scale model of signal transduction with over 800 interactions, influenza A replication cycle with 127 species and 200+ interactions, and mammalian and budding yeast cell cycles. We also show that any and all qualitative regulatory mechanisms can be built using this tool.

  17. Design process and tools for dynamic neuromechanical models and robot controllers.

    Science.gov (United States)

    Szczecinski, Nicholas S; Hunt, Alexander J; Quinn, Roger D

    2017-02-01

    We present a serial design process with associated tools to select parameter values for a posture and locomotion controller for simulation of a robot. The controller is constructed from dynamic neuron and synapse models and simulated with the open-source neuromechanical simulator AnimatLab 2. Each joint has a central pattern generator (CPG), whose neurons possess persistent sodium channels. The CPG rhythmically inhibits motor neurons that control the servomotor's velocity. Sensory information coordinates the joints in the leg into a cohesive stepping motion. The parameter value design process is intended to run on a desktop computer, and has three steps. First, our tool FEEDBACKDESIGN uses classical control methods to find neural and synaptic parameter values that stably and robustly control servomotor output. This method is fast, testing over 100 parameter value variations per minute. Next, our tool CPGDESIGN generates bifurcation diagrams and phase response curves for the CPG model. This reveals neural and synaptic parameter values that produce robust oscillation cycles, whose phase can be rapidly entrained to sensory feedback. It also designs the synaptic conductance of inter-joint pathways. Finally, to understand sensitivity to parameters and how descending commands affect a leg's stepping motion, our tool SIMSCAN runs batches of neuromechanical simulations with specified parameter values, which is useful for searching the parameter space of a complicated simulation. These design tools are demonstrated on a simulation of a robot, but may be applied to neuromechanical animal models or physical robots as well.

  18. User Friendly Open GIS Tool for Large Scale Data Assimilation - a Case Study of Hydrological Modelling

    Science.gov (United States)

    Gupta, P. K.

    2012-08-01

    Open source software (OSS) coding has tremendous advantages over proprietary software. These are primarily fuelled by high level programming languages (JAVA, C++, Python etc...) and open source geospatial libraries (GDAL/OGR, GEOS, GeoTools etc.). Quantum GIS (QGIS) is a popular open source GIS package, which is licensed under GNU GPL and is written in C++. It allows users to perform specialised tasks by creating plugins in C++ and Python. This research article emphasises on exploiting this capability of QGIS to build and implement plugins across multiple platforms using the easy to learn - Python programming language. In the present study, a tool has been developed to assimilate large spatio-temporal datasets such as national level gridded rainfall, temperature, topographic (digital elevation model, slope, aspect), landuse/landcover and multi-layer soil data for input into hydrological models. At present this tool has been developed for Indian sub-continent. An attempt is also made to use popular scientific and numerical libraries to create custom applications for digital inclusion. In the hydrological modelling calibration and validation are important steps which are repetitively carried out for the same study region. As such the developed tool will be user friendly and used efficiently for these repetitive processes by reducing the time required for data management and handling. Moreover, it was found that the developed tool can easily assimilate large dataset in an organised manner.

  19. Development of a surrogate model for elemental analysis using a natural gamma ray spectroscopy tool

    International Nuclear Information System (INIS)

    Zhang, Qiong

    2015-01-01

    A systematic computational method for obtaining accurate elemental standards efficiently for varying borehole conditions was developed based on Monte Carlo simulations, surrogate modeling, and data assimilation. Elemental standards are essential for spectral unfolding in formation evaluation applications commonly used for nuclear well logging tools. Typically, elemental standards are obtained by standardized measurements, but these experiments are expensive and lack the flexibility to address different logging conditions. In contrast, computer-based Monte Carlo simulations provide an accurate and more flexible approach to obtaining elemental standards for formation evaluation. The presented computational method recognizes that in contrast to typical neutron–photon simulations, where the source is typically artificial and well characterized (Galford, 2009), an accurate knowledge of the source is essential for matching the obtained Monte Carlo elemental standards with their experimental counterparts. Therefore, source distributions are adjusted to minimize the L2 difference of the Monte Carlo computed and experimental standards. Subsequently, an accurate surrogate model is developed accounting for different casing and cement thicknesses, and tool positions within the borehole. The adjusted source distributions are then utilized to generate and validate spectra for varying borehole conditions: tool position, casing and cement thickness. The effect of these conditions on the spectra are investigated and discussed in this work. Given that Monte Carlo modeling provides much lower cost and more flexibility, employing Monte Carlo could enhance the processing of nuclear tool logging data computed standards. - Highlights: • A novel computational model for efficiently computing elemental standards for varying borehole conditions has been developed. • A model of an experimental test pit was implemented in the Monte Carlo code GEANT4 for computing elemental standards.

  20. Modelling of the Contact Condition at the Tool/Matrix Interface in Friction Stir Welding

    DEFF Research Database (Denmark)

    Schmidt, Henrik Nikolaj Blich; Hattel, Jesper; Wert, John

    2003-01-01

    The objective of the present paper is to investigate the heat generation and contact condition during Friction Stir Welding (FSW). For this purpose, an analytical model is developed for the heat generation and this is combined with a Eulerian FE-analysis of the temperature field. The heat...... generation is closely related to the friction condition at the contact interface between the FSW tool and the weld piece material as well as the material flow in the weld matrix, since the mechanisms for heat generation by frictional and plastic dissipation are different. The heat generation from the tool...... is governed by the contact condition, i.e. whether there is sliding, sticking or partial sliding/sticking. The contact condition in FSW is complex (dependent on alloy, welding parameters, tool design etc.), and previous models (both analytical and numerical) for simulation of the heat generation assume...

  1. Implementation of Models for Building Envelope Air Flow Fields in a Whole Building Hygrothermal Simulation Tool

    DEFF Research Database (Denmark)

    Rode, Carsten; Grau, Karl

    2009-01-01

    cavity such as in the exterior cladding of building envelopes, i.e. a flow which is parallel to the construction plane. 2. Infiltration/exfiltration of air through the building envelope, i.e. a flow which is perpendicular to the construction plane. The new models make it possible to predict the thermal......Simulation tools are becoming available which predict the heat and moisture conditions in the indoor environment as well as in the envelope of buildings, and thus it has become possible to consider the important interaction between the different components of buildings and the different physical...... phenomena which occur. However, there is still room for further development of such tools. This paper will present an attempt to integrate modelling of air flows in building envelopes into a whole building hygrothermal simulation tool. Two kinds of air flows have been considered: 1. Air flow in ventilated...

  2. Implementation of Models for Building Envelope Air Flow Fields in a Whole Building Hygrothermal Simulation Tool

    DEFF Research Database (Denmark)

    Sørensen, Karl Grau; Rode, Carsten

    2009-01-01

    phenomena that occur. However, there is still room for further development of such tools. This paper will present an attempt to integrate modelling of air flows in building envelopes into a whole building hygrothermal simulation tool. Two kinds of air flows have been considered: (1) Air flow in a ventilated...... cavity such as behind the exterior cladding of a building envelope, i.e. a flow which is parallel to the construction plane. (2) Infiltration/exfiltration of air through the building envelope, i.e. a flow which is perpendicular to the constructionplane. The paper presents the models and how they have......Simulation tools are becoming available which predict the heat and moisture conditions in the indoor environment as well as in the envelope of buildings, and thus it has become possible to consider the important interaction between the different components of buildings and the different physical...

  3. Thermal Error Test and Intelligent Modeling Research on the Spindle of High Speed CNC Machine Tools

    Science.gov (United States)

    Luo, Zhonghui; Peng, Bin; Xiao, Qijun; Bai, Lu

    2018-03-01

    Thermal error is the main factor affecting the accuracy of precision machining. Through experiments, this paper studies the thermal error test and intelligent modeling for the spindle of vertical high speed CNC machine tools in respect of current research focuses on thermal error of machine tool. Several testing devices for thermal error are designed, of which 7 temperature sensors are used to measure the temperature of machine tool spindle system and 2 displacement sensors are used to detect the thermal error displacement. A thermal error compensation model, which has a good ability in inversion prediction, is established by applying the principal component analysis technology, optimizing the temperature measuring points, extracting the characteristic values closely associated with the thermal error displacement, and using the artificial neural network technology.

  4. Spindle Thermal Error Optimization Modeling of a Five-axis Machine Tool

    Science.gov (United States)

    Guo, Qianjian; Fan, Shuo; Xu, Rufeng; Cheng, Xiang; Zhao, Guoyong; Yang, Jianguo

    2017-05-01

    Aiming at the problem of low machining accuracy and uncontrollable thermal errors of NC machine tools, spindle thermal error measurement, modeling and compensation of a two turntable five-axis machine tool are researched. Measurement experiment of heat sources and thermal errors are carried out, and GRA(grey relational analysis) method is introduced into the selection of temperature variables used for thermal error modeling. In order to analyze the influence of different heat sources on spindle thermal errors, an ANN (artificial neural network) model is presented, and ABC(artificial bee colony) algorithm is introduced to train the link weights of ANN, a new ABC-NN(Artificial bee colony-based neural network) modeling method is proposed and used in the prediction of spindle thermal errors. In order to test the prediction performance of ABC-NN model, an experiment system is developed, the prediction results of LSR (least squares regression), ANN and ABC-NN are compared with the measurement results of spindle thermal errors. Experiment results show that the prediction accuracy of ABC-NN model is higher than LSR and ANN, and the residual error is smaller than 3 μm, the new modeling method is feasible. The proposed research provides instruction to compensate thermal errors and improve machining accuracy of NC machine tools.

  5. Reach adaptation: what determines whether we learn an internal model of the tool or adapt the model of our arm?

    Science.gov (United States)

    Kluzik, JoAnn; Diedrichsen, Jörn; Shadmehr, Reza; Bastian, Amy J

    2008-09-01

    We make errors when learning to use a new tool. However, the cause of error may be ambiguous: is it because we misestimated properties of the tool or of our own arm? We considered a well-studied adaptation task in which people made goal-directed reaching movements while holding the handle of a robotic arm. The robot produced viscous forces that perturbed reach trajectories. As reaching improved with practice, did people recalibrate an internal model of their arm, or did they build an internal model of the novel tool (robot), or both? What factors influenced how the brain solved this credit assignment problem? To investigate these questions, we compared transfer of adaptation between three conditions: catch trials in which robot forces were turned off unannounced, robot-null trials in which subjects were told that forces were turned off, and free-space trials in which subjects still held the handle but watched as it was detached from the robot. Transfer to free space was 40% of that observed in unannounced catch trials. We next hypothesized that transfer to free space might increase if the training field changed gradually, rather than abruptly. Indeed, this method increased transfer to free space from 40 to 60%. Therefore although practice with a novel tool resulted in formation of an internal model of the tool, it also appeared to produce a transient change in the internal model of the subject's arm. Gradual changes in the tool's dynamics increased the extent to which the nervous system recalibrated the model of the subject's own arm.

  6. Swiss President to visit CERN

    CERN Multimedia

    2003-01-01

    "Pascal Couchepin, President of the Swiss Confederation, will visit CERN on 4 June to participate in the official inauguration of the underground cavern for the laboratory's ATLAS experiment. As the first new experimental cavern to be handed over to CERN by civil engineering contractors, this represents an important milestone for the Laboratory" (1 page).

  7. Dr. John Marburger visits DESY

    CERN Multimedia

    2003-01-01

    Dr. John Marburger, Director of the United States Office of Science and Technology Policy, visited the research center DESY in Hamburg. The American physicist wanted to inform himself about the status of the TESLA X-ray laser and the TESLA linear collider as well as the international collaboration at DESY (1/2 page).

  8. “VICO”, Visiting Colleagues

    CERN Multimedia

    Staff Association

    2017-01-01

    “Hello, I am your delegate” – have you heard this line? Maybe you have already had the pleasure of receiving a visit from a Staff Association delegate – then you know what this is all about. As for those of you, who have not yet heard these words, it’s time to get curious. The Staff Association has decided to embark upon an adventure called “VICO”, Visiting Colleagues. From past experience, we have understood the value of personal, direct contact with the people we represent. We believe that the best way to achieve this is to knock on your office door and pay you a short visit.  We do not want to make you fill in yet another online questionnaire and would much rather collect your feedback in a short conversation face to face. Of course, we have prepared ourselves thoroughly for these visit rounds, because we do not want to waste your time. We welcome criticism because it can make us aware of our shortcomings, tell us about how y...

  9. What Happens during Prenatal Visits?

    Science.gov (United States)

    ... NICHD Research Information Research Goals Activities and Advances Scientific Articles Find a Study More Information Resources Home Health ... won't schedule a visit any earlier unless you have a medical condition, have ... and health information might use weeks instead. Here's a chart that can help ...

  10. President of Ecuador visits CERN

    CERN Multimedia

    Rosaria Marraffino

    2014-01-01

    On Friday, 24 October, Dr. Rafael Correa Delgado, President of the Republic of Ecuador, visited CERN.   Visiting Geneva to deliver a lecture at the UN, Ecuadorian President Rafael Correa Delgado seized the chance to have a short but intense visit of the Laboratory. The President was met at LHC Point 1 by the Director for Research and Scientific Computing Sergio Bertolucci, who gave him an introduction to CERN’s activities.He was also introduced to the Director for Accelerators and Technology, Frédérick Bordry, and Department Heads José Miguel Jiménez (TE), Livio Mapelli (PH) and Roberto Saban (EN). President Correa Delgado also met with Martijn Mulders, co-organiser of the CERN Latin America School of High-Energy Physics, which will be held in Ecuador from 4 to 17 March 2015. Shortly after that, he visited the ATLAS experimental cavern which he toured with ATLAS Collaboration Spokesperson David Charlton and Fernando Monticelli of t...

  11. Child Custody, Visitation and Maintenance ...

    African Journals Online (AJOL)

    Nigussie Afesha

    2017-12-30

    Dec 30, 2017 ... cases, courts specify the duration and form of visitation. However, in ... marriage will subsist if and only if spouses are willing to live together and the marital relation does not come to an end. A change in the status of the spouses. (from married to single) may alter the rights and responsibilities of the parents.

  12. Flexible global ocean-atmosphere-land system model. A modeling tool for the climate change research community

    International Nuclear Information System (INIS)

    Zhou, Tianjun; Yu, Yongqiang; Liu, Yimin; Wang, Bin

    2014-01-01

    First book available on systematic evaluations of the performance of the global climate model FGOALS. Covers the whole field, ranging from the development to the applications of this climate system model. Provide an outlook for the future development of the FGOALS model system. Offers brief introduction about how to run FGOALS. Coupled climate system models are of central importance for climate studies. A new model known as FGOALS (the Flexible Global Ocean-Atmosphere-Land System model), has been developed by the State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences (LASG/IAP, CAS), a first-tier national geophysical laboratory. It serves as a powerful tool, both for deepening our understanding of fundamental mechanisms of the climate system and for making decadal prediction and scenario projections of future climate change. ''Flexible Global Ocean-Atmosphere-Land System Model: A Modeling Tool for the Climate Change Research Community'' is the first book to offer systematic evaluations of this model's performance. It is comprehensive in scope, covering both developmental and application-oriented aspects of this climate system model. It also provides an outlook of future development of FGOALS and offers an overview of how to employ the model. It represents a valuable reference work for researchers and professionals working within the related areas of climate variability and change.

  13. GAMBIT. The global and modular beyond-the-standard-model inference tool

    International Nuclear Information System (INIS)

    Athron, Peter; Balazs, Csaba; Bringmann, Torsten; Dal, Lars A.; Gonzalo, Tomas E.; Krislock, Abram; Raklev, Are; Buckley, Andy; Chrzaszcz, Marcin; Conrad, Jan; Edsjoe, Joakim; Farmer, Ben; Lundberg, Johan; Cornell, Jonathan M.; Dickinson, Hugh; Jackson, Paul; White, Martin; Kvellestad, Anders; Savage, Christopher; McKay, James; Mahmoudi, Farvah; Martinez, Gregory D.; Putze, Antje; Ripken, Joachim; Rogan, Christopher; Saavedra, Aldo; Scott, Pat; Seo, Seon-Hee; Serra, Nicola; Weniger, Christoph; Wild, Sebastian

    2017-01-01

    We describe the open-source global fitting package GAMBIT: the Global And Modular Beyond-the-Standard-Model Inference Tool. GAMBIT combines extensive calculations of observables and likelihoods in particle and astroparticle physics with a hierarchical model database, advanced tools for automatically building analyses of essentially any model, a flexible and powerful system for interfacing to external codes, a suite of different statistical methods and parameter scanning algorithms, and a host of other utilities designed to make scans faster, safer and more easily-extendible than in the past. Here we give a detailed description of the framework, its design and motivation, and the current models and other specific components presently implemented in GAMBIT. Accompanying papers deal with individual modules and present first GAMBIT results. GAMBIT can be downloaded from gambit.hepforge.org. (orig.)

  14. GAMBIT. The global and modular beyond-the-standard-model inference tool

    Energy Technology Data Exchange (ETDEWEB)

    Athron, Peter; Balazs, Csaba [Monash University, School of Physics and Astronomy, Melbourne, VIC (Australia); Australian Research Council Centre of Excellence for Particle Physics at the Tera-scale (Australia); Bringmann, Torsten; Dal, Lars A.; Gonzalo, Tomas E.; Krislock, Abram; Raklev, Are [University of Oslo, Department of Physics, Oslo (Norway); Buckley, Andy [University of Glasgow, SUPA, School of Physics and Astronomy, Glasgow (United Kingdom); Chrzaszcz, Marcin [Universitaet Zuerich, Physik-Institut, Zurich (Switzerland); Polish Academy of Sciences, H. Niewodniczanski Institute of Nuclear Physics, Krakow (Poland); Conrad, Jan; Edsjoe, Joakim; Farmer, Ben; Lundberg, Johan [AlbaNova University Centre, Oskar Klein Centre for Cosmoparticle Physics, Stockholm (Sweden); Stockholm University, Department of Physics, Stockholm (Sweden); Cornell, Jonathan M. [McGill University, Department of Physics, Montreal, QC (Canada); Dickinson, Hugh [University of Minnesota, Minnesota Institute for Astrophysics, Minneapolis, MN (United States); Jackson, Paul; White, Martin [Australian Research Council Centre of Excellence for Particle Physics at the Tera-scale (Australia); University of Adelaide, Department of Physics, Adelaide, SA (Australia); Kvellestad, Anders; Savage, Christopher [NORDITA, Stockholm (Sweden); McKay, James [Imperial College London, Blackett Laboratory, Department of Physics, London (United Kingdom); Mahmoudi, Farvah [Univ Lyon, Univ Lyon 1, ENS de Lyon, CNRS, Centre de Recherche Astrophysique de Lyon UMR5574, Saint-Genis-Laval (France); CERN, Theoretical Physics Department, Geneva (Switzerland); Martinez, Gregory D. [University of California, Physics and Astronomy Department, Los Angeles, CA (United States); Putze, Antje [LAPTh, Universite de Savoie, CNRS, Annecy-le-Vieux (France); Ripken, Joachim [Max Planck Institute for Solar System Research, Goettingen (Germany); Rogan, Christopher [Harvard University, Department of Physics, Cambridge, MA (United States); Saavedra, Aldo [Australian Research Council Centre of Excellence for Particle Physics at the Tera-scale (Australia); The University of Sydney, Faculty of Engineering and Information Technologies, Centre for Translational Data Science, School of Physics, Sydney, NSW (Australia); Scott, Pat [Imperial College London, Blackett Laboratory, Department of Physics, London (United Kingdom); Seo, Seon-Hee [Seoul National University, Department of Physics and Astronomy, Seoul (Korea, Republic of); Serra, Nicola [Universitaet Zuerich, Physik-Institut, Zurich (Switzerland); Weniger, Christoph [University of Amsterdam, GRAPPA, Institute of Physics, Amsterdam (Netherlands); Wild, Sebastian [DESY, Hamburg (Germany); Collaboration: The GAMBIT Collaboration

    2017-11-15

    We describe the open-source global fitting package GAMBIT: the Global And Modular Beyond-the-Standard-Model Inference Tool. GAMBIT combines extensive calculations of observables and likelihoods in particle and astroparticle physics with a hierarchical model database, advanced tools for automatically building analyses of essentially any model, a flexible and powerful system for interfacing to external codes, a suite of different statistical methods and parameter scanning algorithms, and a host of other utilities designed to make scans faster, safer and more easily-extendible than in the past. Here we give a detailed description of the framework, its design and motivation, and the current models and other specific components presently implemented in GAMBIT. Accompanying papers deal with individual modules and present first GAMBIT results. GAMBIT can be downloaded from gambit.hepforge.org. (orig.)

  15. New tools in modulating Maillard reaction from model systems to food

    NARCIS (Netherlands)

    Troise, A.D.

    2015-01-01

    New tools in modulating Maillard reaction from model systems to food
    The Maillard reaction (MR) supervises the final quality of foods and occupies a prominent place in food science. The first stable compounds, the Amadori rearrangement products

  16. Using Model-Eliciting Activities as a Tool to Identify and Develop Mathematically Creative Students

    Science.gov (United States)

    Coxbill, Emmy; Chamberlin, Scott A.; Weatherford, Jennifer

    2013-01-01

    Traditional classroom methods for identifying mathematically creative students have been inadequate. Identifying students who could potentially be mathematically creative is instrumental in the development of students and in meeting their affective and educational needs. One prospective identification tool is the use of model-eliciting activities…

  17. A new framework for modeling decentralized low impact developments using Soil and Water Assessment Tool

    Science.gov (United States)

    Assessing the performance of Low Impact Development (LID) practices at a catchment scale is important in managing urban watersheds. Few modeling tools exist that are capable of explicitly representing the hydrological mechanisms of LIDs while considering the diverse land uses of urban watersheds. ...

  18. OMNIITOX - operational life-cycle impact assessment models and information tools for practitioners

    DEFF Research Database (Denmark)

    Molander, S; Lidholm, Peter; Schowanek, Diederik

    2004-01-01

    This article is the preamble to a set of articles describing initial results from an on-going European Commission funded, 5th Framework project called OMNIITOX, Operational Models aNd Information tools for Industrial applications of eco/TOXicological impact assessments. The different parts of thi...

  19. Recommender System and Web 2.0 Tools to Enhance a Blended Learning Model

    Science.gov (United States)

    Hoic-Bozic, Natasa; Dlab, Martina Holenko; Mornar, Vedran

    2016-01-01

    Blended learning models that combine face-to-face and online learning are of great importance in modern higher education. However, their development should be in line with the recent changes in e-learning that emphasize a student-centered approach and use tools available on the Web to support the learning process. This paper presents research on…

  20. Towards Semantically Integrated Models and Tools for Cyber-Physical Systems Design

    DEFF Research Database (Denmark)

    Larsen, Peter Gorm; Fitzgerald, John; Woodcock, Jim

    2016-01-01

    We describe an approach to the model-based engineering of embedded and cyber-physical systems, based on the semantic integration of diverse discipline-specific notations and tools. Using the example of a small unmanned aerial vehicle, we explain the need for multiple notations and collaborative...

  1. An online tool for business modelling and a refinement of the Business Canvas

    NARCIS (Netherlands)

    Rogier Brussee; Peter de Groot

    2016-01-01

    We give a refinement of the well known business model canvas by Osterwalder and Pigneur by splitting the basic blocks into further subblocks to reduce confusion and increase its expressive power. The splitting is used in an online tool which in addition comes with a set of questions to further

  2. Toward Enhancing Automated Credibility Assessment: A Model for Question Type Classification and Tools for Linguistic Analysis

    Science.gov (United States)

    Moffitt, Kevin Christopher

    2011-01-01

    The three objectives of this dissertation were to develop a question type model for predicting linguistic features of responses to interview questions, create a tool for linguistic analysis of documents, and use lexical bundle analysis to identify linguistic differences between fraudulent and non-fraudulent financial reports. First, The Moffitt…

  3. Simulation of Forming Process as an Educational Tool Using Physical Modeling

    Science.gov (United States)

    Abdullah, A. B.; Muda, M. R.; Samad, Z.

    2008-01-01

    Metal forming process simulation requires a very high cost including the cost for dies, machine and material and tight process control since the process involve very huge pressure. A physical modeling technique is developed and initiates a new era of educational tool of simulating the process effectively. Several publications and findings have…

  4. Using the Cognitive Apprenticeship Model with a Chat Tool to Enhance Online Collaborative Learning

    Science.gov (United States)

    Rodríguez-Bonces, Mónica; Ortiz, Kris

    2016-01-01

    In Colombia, many institutions are in the firm quest of virtual learning environments to improve instruction, and making the most of online tools is clearly linked to offering quality learning. Thus, the purpose of this action research was to identify how the Cognitive Apprenticeship Model enhances online collaborative learning by using a chat…

  5. What's new in the Atmospheric Model Evaluation Tool (AMET) version 1.3

    Science.gov (United States)

    A new version of the Atmospheric Model Evaluation Tool (AMET) has been released. The new version of AMET, version 1.3 (AMETv1.3), contains a number of updates and changes from the previous of version of AMET (v1.2) released in 2012. First, the Perl scripts used in the previous ve...

  6. Exposure Modeling Tools and Databases for Consideration for Relevance to the Amended TSCA (ISES)

    Science.gov (United States)

    The Agency’s Office of Research and Development (ORD) has a number of ongoing exposure modeling tools and databases. These efforts are anticipated to be useful in supporting ongoing implementation of the amended Toxic Substances Control Act (TSCA). Under ORD’s Chemic...

  7. Validation of Multiple Tools for Flat Plate Photovoltaic Modeling Against Measured Data

    Energy Technology Data Exchange (ETDEWEB)

    Freeman, J.; Whitmore, J.; Blair, N.; Dobos, A. P.

    2014-08-01

    This report expands upon a previous work by the same authors, published in the 40th IEEE Photovoltaic Specialists conference. In this validation study, comprehensive analysis is performed on nine photovoltaic systems for which NREL could obtain detailed performance data and specifications, including three utility-scale systems and six commercial scale systems. Multiple photovoltaic performance modeling tools were used to model these nine systems, and the error of each tool was analyzed compared to quality-controlled measured performance data. This study shows that, excluding identified outliers, all tools achieve annual errors within +/-8% and hourly root mean squared errors less than 7% for all systems. It is further shown using SAM that module model and irradiance input choices can change the annual error with respect to measured data by as much as 6.6% for these nine systems, although all combinations examined still fall within an annual error range of +/-8.5%. Additionally, a seasonal variation in monthly error is shown for all tools. Finally, the effects of irradiance data uncertainty and the use of default loss assumptions on annual error are explored, and two approaches to reduce the error inherent in photovoltaic modeling are proposed.

  8. Characterization and Modeling of Insect Swarms Using tools from Fluid Dynamics

    Science.gov (United States)

    2016-09-01

    Characterization and Modeling of Insect Swarms Using tools from Fluid Dynamics The goals of this project were to develop a laboratory system for...quantitatively measuring the flight trajectories of swarming insects and to use the resulting data to evaluate currently used models of collective...behavior. We were successful in completing both goals, leading to the first highly resolved, statistically robust data sets for insect swarms, which we

  9. Visual Representation in GENESIS as a tool for Physical Modeling, Sound Synthesis and Musical Composition

    OpenAIRE

    Villeneuve, Jérôme; Cadoz, Claude; Castagné, Nicolas

    2015-01-01

    The motivation of this paper is to highlight the importance of visual representations for artists when modeling and simulating mass-interaction physical networks in the context of sound synthesis and musical composition. GENESIS is a musician-oriented software environment for sound synthesis and musical composition. However, despite this orientation, a substantial amount of effort has been put into building a rich variety of tools based on static or dynamic visual representations of models an...

  10. Rogeaulito: A World Energy Scenario Modeling Tool for Transparent Energy System Thinking

    International Nuclear Information System (INIS)

    Benichou, Léo; Mayr, Sebastian

    2014-01-01

    Rogeaulito is a world energy model for scenario building developed by the European think tank The Shift Project. It’s a tool to explore world energy choices from a very long-term and systematic perspective. As a key feature and novelty it computes energy supply and demand independently from each other revealing potentially missing energy supply by 2100. It is further simple to use, didactic, and open source. As such, it targets a broad user group and advocates for reproducibility and transparency in scenario modeling as well as model-based learning. Rogeaulito applies an engineering approach using disaggregated data in a spreadsheet model.

  11. Hot metal temperature prediction in blast furnace using advanced model based on fuzzy logic tools

    Energy Technology Data Exchange (ETDEWEB)

    Martin, R.D.; Obeso, F.; Mochon, J.; Barea, R.; Jimenez, J.

    2007-05-15

    The present work presents a model based on fuzzy logic tools to predict and simulate the hot metal temperature in a blast furnace (BF). As input variables this model uses the control variables of a current BF such as moisture, pulverised coal injection, oxygen addition, mineral/coke ratio and blast volume, and it yields as a result of the hot metal temperature. The variables employed to develop the model have been obtained from data supplied by current sensors of a Spanish BF In the model training stage the adaptive neurofuzzy inference system and the subtractive clustering algorithms have been used.

  12. FORMAL MODELLING OF BUSINESS RULES: WHAT KIND OF TOOL TO USE?

    Directory of Open Access Journals (Sweden)

    Sandra Lovrenčić

    2006-12-01

    Full Text Available Business rules are today essential parts of a business system model. But presently, there are still various approaches to, definitions and classifications of this concept. Similarly, there are also different approaches in business rules formalization and implementation. This paper investigates formalization using formal language in association with easy domain modelling. Two of the tools that enable such approach are described and compared according to several factors. They represent ontology modelling and UML, nowadays widely used standard for object-oriented modelling. A simple example is also presented.

  13. Weather and Prey Predict Mammals' Visitation to Water.

    Directory of Open Access Journals (Sweden)

    Grant Harris

    Full Text Available Throughout many arid lands of Africa, Australia and the United States, wildlife agencies provide water year-round for increasing game populations and enhancing biodiversity, despite concerns that water provisioning may favor species more dependent on water, increase predation, and reduce biodiversity. In part, understanding the effects of water provisioning requires identifying why and when animals visit water. Employing this information, by matching water provisioning with use by target species, could assist wildlife management objectives while mitigating unintended consequences of year-round watering regimes. Therefore, we examined if weather variables (maximum temperature, relative humidity [RH], vapor pressure deficit [VPD], long and short-term precipitation and predator-prey relationships (i.e., prey presence predicted water visitation by 9 mammals. We modeled visitation as recorded by trail cameras at Sevilleta National Wildlife Refuge, New Mexico, USA (June 2009 to September 2014 using generalized linear modeling. For 3 native ungulates, elk (Cervus Canadensis, mule deer (Odocoileus hemionus, and pronghorn (Antilocapra americana, less long-term precipitation and higher maximum temperatures increased visitation, including RH for mule deer. Less long-term precipitation and higher VPD increased oryx (Oryx gazella and desert cottontail rabbits (Sylvilagus audubonii visitation. Long-term precipitation, with RH or VPD, predicted visitation for black-tailed jackrabbits (Lepus californicus. Standardized model coefficients demonstrated that the amount of long-term precipitation influenced herbivore visitation most. Weather (especially maximum temperature and prey (cottontails and jackrabbits predicted bobcat (Lynx rufus visitation. Mule deer visitation had the largest influence on coyote (Canis latrans visitation. Puma (Puma concolor visitation was solely predicted by prey visitation (elk, mule deer, oryx. Most ungulate visitation peaked during

  14. Graphical and numerical diagnostic tools to assess suitability of multiple imputations and imputation models.

    Science.gov (United States)

    Bondarenko, Irina; Raghunathan, Trivellore

    2016-07-30

    Multiple imputation has become a popular approach for analyzing incomplete data. Many software packages are available to multiply impute the missing values and to analyze the resulting completed data sets. However, diagnostic tools to check the validity of the imputations are limited, and the majority of the currently available methods need considerable knowledge of the imputation model. In many practical settings, however, the imputer and the analyst may be different individuals or from different organizations, and the analyst model may or may not be congenial to the model used by the imputer. This article develops and evaluates a set of graphical and numerical diagnostic tools for two practical purposes: (i) for an analyst to determine whether the imputations are reasonable under his/her model assumptions without actually knowing the imputation model assumptions; and (ii) for an imputer to fine tune the imputation model by checking the key characteristics of the observed and imputed values. The tools are based on the numerical and graphical comparisons of the distributions of the observed and imputed values conditional on the propensity of response. The methodology is illustrated using simulated data sets created under a variety of scenarios. The examples focus on continuous and binary variables, but the principles can be used to extend methods for other types of variables. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

  15. Multi-Model R-Tool for uncertainty assessment in landslides susceptibility analysis

    Science.gov (United States)

    Cosmin Sandric, Ionut; Chitu, Zenaida; Jurchescu, Marta; Micu, Mihai

    2014-05-01

    The evaluation of landslide susceptibility requires understanding of the spatial distribution of the factors that control slope instability. It is known that the behavior of landslides is difficult to evaluate because of the various factors that trigger mass movements. The methodology used is very diverse, based on statistical methods, probabilistic methods, deterministic methods, empirical methods or a combination of them and the main factors used for landslide susceptibility assessment are composed from basic morphometric parameters, such as slope gradient, curvature, aspect, solar radiation etc. in combination with lithology, land-use/land-cover, soil types or soil properties. The reliability of susceptibility maps is mostly estimated by a comparison with ground truth and visualized as charts and statistical tables and less by maps for landslides susceptibility uncertainty. Due to similarity of inputs required by numerous susceptibility models, we have developed a Multi-Model tool for R, a free software environment for statistical computing and graphics, combines several landslides susceptibility models into one forecast, thereby improving the forecast accuracy even further. The tool uses as inputs all the predisposing factors and generates susceptibility maps for each model; it combines the resulted susceptibility maps in just one and assesses the uncertainty as a function of susceptibility levels from each map. The final results are susceptibility and uncertainty maps as a function of several susceptibility models. The Multi-Model R-Tool was tested in different areas from Romanian Subcarpathians with very good results

  16. Ranking of Business Process Simulation Software Tools with DEX/QQ Hierarchical Decision Model.

    Science.gov (United States)

    Damij, Nadja; Boškoski, Pavle; Bohanec, Marko; Mileva Boshkoska, Biljana

    2016-01-01

    The omnipresent need for optimisation requires constant improvements of companies' business processes (BPs). Minimising the risk of inappropriate BP being implemented is usually performed by simulating the newly developed BP under various initial conditions and "what-if" scenarios. An effectual business process simulations software (BPSS) is a prerequisite for accurate analysis of an BP. Characterisation of an BPSS tool is a challenging task due to the complex selection criteria that includes quality of visual aspects, simulation capabilities, statistical facilities, quality reporting etc. Under such circumstances, making an optimal decision is challenging. Therefore, various decision support models are employed aiding the BPSS tool selection. The currently established decision support models are either proprietary or comprise only a limited subset of criteria, which affects their accuracy. Addressing this issue, this paper proposes a new hierarchical decision support model for ranking of BPSS based on their technical characteristics by employing DEX and qualitative to quantitative (QQ) methodology. Consequently, the decision expert feeds the required information in a systematic and user friendly manner. There are three significant contributions of the proposed approach. Firstly, the proposed hierarchical model is easily extendible for adding new criteria in the hierarchical structure. Secondly, a fully operational decision support system (DSS) tool that implements the proposed hierarchical model is presented. Finally, the effectiveness of the proposed hierarchical model is assessed by comparing the resulting rankings of BPSS with respect to currently available results.

  17. Simulation Modeling of Lakes in Undergraduate and Graduate Classrooms Increases Comprehension of Climate Change Concepts and Experience with Computational Tools

    Science.gov (United States)

    Carey, Cayelan C.; Gougis, Rebekka Darner

    2017-01-01

    Ecosystem modeling is a critically important tool for environmental scientists, yet is rarely taught in undergraduate and graduate classrooms. To address this gap, we developed a teaching module that exposes students to a suite of modeling skills and tools (including computer programming, numerical simulation modeling, and distributed computing)…

  18. Using Google Flu Trends data in forecasting influenza-like-illness related ED visits in Omaha, Nebraska.

    Science.gov (United States)

    Araz, Ozgur M; Bentley, Dan; Muelleman, Robert L

    2014-09-01

    Emergency department (ED) visits increase during the influenza seasons. It is essential to identify statistically significant correlates in order to develop an accurate forecasting model for ED visits. Forecasting influenza-like-illness (ILI)-related ED visits can significantly help in developing robust resource management strategies at the EDs. We first performed correlation analyses to understand temporal correlations between several predictors of ILI-related ED visits. We used the data available for Douglas County, the biggest county in Nebraska, for Omaha, the biggest city in the state, and for a major hospital in Omaha. The data set included total and positive influenza test results from the hospital (ie, Antigen rapid (Ag) and Respiratory Syncytial Virus Infection (RSV) tests); an Internet-based influenza surveillance system data, that is, Google Flu Trends, for both Nebraska and Omaha; total ED visits in Douglas County attributable to ILI; and ILI surveillance network data for Douglas County and Nebraska as the predictors and data for the hospital's ILI-related ED visits as the dependent variable. We used Seasonal Autoregressive Integrated Moving Average and Holt Winters methods with3 linear regression models to forecast ILI-related ED visits at the hospital and evaluated model performances by comparing the root means square errors (RMSEs). Because of strong positive correlations with ILI-related ED visits between 2008 and 2012, we validated the use of Google Flu Trends data as a predictor in an ED influenza surveillance tool. Of the 5 forecasting models we have tested, linear regression models performed significantly better when Google Flu Trends data were included as a predictor. Regression models including Google Flu Trends data as a predictor variable have lower RMSE, and the lowest is achieved when all other variables are also included in the model in our forecasting experiments for the first 5 weeks of 2013 (with RMSE = 57.61). Google Flu Trends data

  19. A MASTER THESIS ON PORTING THE ENTERPRISE ARCHITECTURE ANALYSIS TOOL TO ECLIPSE MODELING PROJECT

    OpenAIRE

    Ivanov, Stanislav

    2011-01-01

    This master thesis is a part of the ongoing research on EAT development project. Its main goal is to research whether Eclipse Modeling Project can be used as an alternative platform to using NetBeans in implementing EAT tool. In order to fulfill this goal, it contains analysis of the current EAT tool version and design research of a new version using EMP. The design addresses most of the issues related to building a new version and eventually recommends porting EAT to EMP.

  20. Learning how to use a tool: Mutually exclusive tool-function mappings are selectively acquired from linguistic in-group models.

    Science.gov (United States)

    Pető, Réka; Elekes, Fruzsina; Oláh, Katalin; Király, Ildikó

    2018-07-01

    The current study investigated whether 4-year-olds used language as a cue to social group membership to infer whether the tool-use behavior of a model needed to be encoded as indicative of the tool's function. We built on children's tendency to treat functions as mutually exclusive, that is, their propensity to refrain from using the same tool for more than one function. We hypothesized that children would form mutually exclusive tool-function mappings only if the source of the function information was a linguistic in-group person (native) as opposed to an out-group (foreign) person. In Experiment 1, participants (N = 39) were presented with four tool-function pairs by a model who had previously spoken either in their native language or in a foreign language. During the test phase, children encountered new purposes for which they could either use the demonstrated tools' color variant or use another equally suitable, as yet unseen, alternative tool. In line with our predictions, children preferred to use the alternative tool for the new function only in the native language condition (native: 63.3%; foreign: 42.7%). Experiment 2 replicated the initial finding using another foreign language and demonstrated that the lack of mutually exclusive tool choice in the foreign condition did not originate from children's failure to encode the demonstration. These findings suggest that children restrict learning artifact functions from linguistic in-group models. The mutual exclusivity principle in the domain of function learning is used more flexibly than previously proposed. Copyright © 2018 Elsevier Inc. All rights reserved.

  1. Experimental and Mathematical Modeling for Prediction of Tool Wear on the Machining of Aluminium 6061 Alloy by High Speed Steel Tools

    Directory of Open Access Journals (Sweden)

    Okokpujie Imhade Princess

    2017-12-01

    Full Text Available In recent machining operation, tool life is one of the most demanding tasks in production process, especially in the automotive industry. The aim of this paper is to study tool wear on HSS in end milling of aluminium 6061 alloy. The experiments were carried out to investigate tool wear with the machined parameters and to developed mathematical model using response surface methodology. The various machining parameters selected for the experiment are spindle speed (N, feed rate (f, axial depth of cut (a and radial depth of cut (r. The experiment was designed using central composite design (CCD in which 31 samples were run on SIEG 3/10/0010 CNC end milling machine. After each experiment the cutting tool was measured using scanning electron microscope (SEM. The obtained optimum machining parameter combination are spindle speed of 2500 rpm, feed rate of 200 mm/min, axial depth of cut of 20 mm, and radial depth of cut 1.0mm was found out to achieved the minimum tool wear as 0.213 mm. The mathematical model developed predicted the tool wear with 99.7% which is within the acceptable accuracy range for tool wear prediction.

  2. Experimental and Mathematical Modeling for Prediction of Tool Wear on the Machining of Aluminium 6061 Alloy by High Speed Steel Tools

    Science.gov (United States)

    Okokpujie, Imhade Princess; Ikumapayi, Omolayo M.; Okonkwo, Ugochukwu C.; Salawu, Enesi Y.; Afolalu, Sunday A.; Dirisu, Joseph O.; Nwoke, Obinna N.; Ajayi, Oluseyi O.

    2017-12-01

    In recent machining operation, tool life is one of the most demanding tasks in production process, especially in the automotive industry. The aim of this paper is to study tool wear on HSS in end milling of aluminium 6061 alloy. The experiments were carried out to investigate tool wear with the machined parameters and to developed mathematical model using response surface methodology. The various machining parameters selected for the experiment are spindle speed (N), feed rate (f), axial depth of cut (a) and radial depth of cut (r). The experiment was designed using central composite design (CCD) in which 31 samples were run on SIEG 3/10/0010 CNC end milling machine. After each experiment the cutting tool was measured using scanning electron microscope (SEM). The obtained optimum machining parameter combination are spindle speed of 2500 rpm, feed rate of 200 mm/min, axial depth of cut of 20 mm, and radial depth of cut 1.0mm was found out to achieved the minimum tool wear as 0.213 mm. The mathematical model developed predicted the tool wear with 99.7% which is within the acceptable accuracy range for tool wear prediction.

  3. Monthly variation of United States pediatric headache emergency department visits.

    Science.gov (United States)

    Kedia, Sita; Ginde, Adit A; Grubenhoff, Joseph A; Kempe, Allison; Hershey, Andrew D; Powers, Scott W

    2014-05-01

    The objective of this article is to determine the monthly variation of emergency department (ED) visits for pediatric headache. We hypothesized youth have increased headache-related ED visits in the months associated with school attendance. Using a United States representative sample of ED visits in the National Hospital Ambulatory Medical Care Survey from 1997 to 2009, we estimated number of visits associated with ICD-9 codes related to headache, migraine, status migrainosus, or tension-type headache in 5- to 18-year-olds. Age-stratified multivariate models are presented for month of visit (July as reference). There was a national estimate of 250,000 ED visits annually related to headache (2.1% of total visits) in 5- to 18-year-olds. In 5- to 11-year-olds, the adjusted rate of headache-related visits was lower in April (OR 0.42, 95% CI 0.20, 0.88). In 12- to 18-year-olds, there were higher rates in January (OR 1.92, 95% CI 1.16, 3.14) and September (OR 1.64, 95% CI 1.06, 2.55). In adolescents we found higher ED utilization in January and September, the same months associated with school return from vacation for a majority of children nationally. No significant reduction in the summer suggests that school itself is not the issue, but rather changes in daily lifestyle and transitions.

  4. A new web-based modelling tool (Websim-MILQ) aimed at optimisation of thermal treatments in the dairy industry

    NARCIS (Netherlands)

    Schutyser, M.A.I.; Straatsma, J.; Keijzer, P.M.; Verschueren, M.; Jong, de P.

    2008-01-01

    In the framework of a cooperative EU research project (MILQ-QC-TOOL) a web-based modelling tool (Websim-MILQ) was developed for optimisation of thermal treatments in the dairy industry. The web-based tool enables optimisation of thermal treatments with respect to product safety, quality and costs.

  5. Modeling and evaluation of the influence of micro-EDM sparking state settings on the tool electrode wear behavior

    DEFF Research Database (Denmark)

    Puthumana, Govindan

    2017-01-01

    materials characterized by considerable wear ofthe tool used for material removal. This paper presents an investigation involving modeling and estimation of the effect of settings for generation of discharges in stable conditions of micro-EDM on the phenomenon of tool electrode wear. A stable sparking...... a condition for the minimum tool wear for this micro-EDM process configuration....

  6. Techniques for the construction of an elliptical-cylindrical model using circular rotating tools in non CNC machines

    International Nuclear Information System (INIS)

    Villalobos Mendoza, Brenda; Cordero Davila, Alberto; Gonzalez Garcia, Jorge

    2011-01-01

    This paper describes the construction of an elliptical-cylindrical model without spherical aberration using vertical rotating tools. The engine of the circular tool is placed on one arm so that the tool fits on the surface and this in turn is moved by an X-Y table. The test method and computer algorithms that predict the desired wear are described.

  7. Dynamic wind turbine models in power system simulation tool DIgSILENT

    DEFF Research Database (Denmark)

    Hansen, A.D.; Jauch, C.; Sørensen, Poul Ejnar

    2004-01-01

    The present report describes the dynamic wind turbine models implemented in the power system simulation tool DIgSILENT (Version 12.0). The developed models are a part of the results of a national research project, whose overall objective is to create amodel database in different simulation tools....... Active stall wind turbine withinduction generator 2. Variable speed, variable pitch wind turbine with doubly-fed induction generator These wind turbine concept models can be used and even extended for the study of different aspects, e.g. the assessment of power quality, controlstrategies, connection...... of the wind turbine at different types of grid and storage systems. For both these two concepts, control strategies are developed and implemented, their performance assessed and discussed by means of simulations....

  8. Status of Computational Aerodynamic Modeling Tools for Aircraft Loss-of-Control

    Science.gov (United States)

    Frink, Neal T.; Murphy, Patrick C.; Atkins, Harold L.; Viken, Sally A.; Petrilli, Justin L.; Gopalarathnam, Ashok; Paul, Ryan C.

    2016-01-01

    A concerted effort has been underway over the past several years to evolve computational capabilities for modeling aircraft loss-of-control under the NASA Aviation Safety Program. A principal goal has been to develop reliable computational tools for predicting and analyzing the non-linear stability & control characteristics of aircraft near stall boundaries affecting safe flight, and for utilizing those predictions for creating augmented flight simulation models that improve pilot training. Pursuing such an ambitious task with limited resources required the forging of close collaborative relationships with a diverse body of computational aerodynamicists and flight simulation experts to leverage their respective research efforts into the creation of NASA tools to meet this goal. Considerable progress has been made and work remains to be done. This paper summarizes the status of the NASA effort to establish computational capabilities for modeling aircraft loss-of-control and offers recommendations for future work.

  9. Modelling tools for assessing bioremediation performance and risk of chlorinated solvents in clay tills

    DEFF Research Database (Denmark)

    Chambon, Julie Claire Claudia

    of future remediation of chlorinated ethenes in low-permeability settings. In conclusion, this PhD-project has developed our understanding on transport and degradation processes of chlorinated solvents in clay tills, and this knowledge was used to develop modelling tools for assessment of risk...... are trapped in the low-permeability matrix and can then slowly back diffuse to the fracture network, forming a long-term secondary contamination source to the underlying aquifers. Because of the complex transport and degradation processes and the mass transfer limitations, risk assessment and remediation...... design are challenging. This thesis presents the development and application of analytical and numerical models to improve our understanding of transport and degradation processes in clay tills, which is crucial for assessing bioremediation performance and risk to groundwater. A set of modelling tools...

  10. A Distributed Electrochemistry Modeling Tool for Simulating SOFC Performance and Degradation

    Energy Technology Data Exchange (ETDEWEB)

    Recknagle, Kurtis P.; Ryan, Emily M.; Khaleel, Mohammad A.

    2011-10-13

    This report presents a distributed electrochemistry (DEC) model capable of investigating the electrochemistry and local conditions with the SOFC MEA based on the local microstructure and multi-physics. The DEC model can calculate the global current-voltage (I-V) performance of the cell as determined by the spatially varying local conditions through the thickness of the electrodes and electrolyte. The simulation tool is able to investigate the electrochemical performance based on characteristics of the electrode microstructure, such as particle size, pore size, electrolyte and electrode phase volume fractions, and triple-phase-boundary length. It can also investigate performance as affected by fuel and oxidant gas flow distributions and other environmental/experimental conditions such as temperature and fuel gas composition. The long-term objective for the DEC modeling tool is to investigate factors that cause electrode degradation and the decay of SOFC performance which decrease longevity.

  11. Can We Practically Bring Physics-based Modeling Into Operational Analytics Tools?

    Energy Technology Data Exchange (ETDEWEB)

    Granderson, Jessica [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Bonvini, Marco [Whisker Labs, Oakland, CA (United States); Piette, Mary Ann [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Page, Janie [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Lin, Guanjing [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Hu, R. Lilly [Univ. of California, Berkeley, CA (United States)

    2017-08-11

    We present that analytics software is increasingly used to improve and maintain operational efficiency in commercial buildings. Energy managers, owners, and operators are using a diversity of commercial offerings often referred to as Energy Information Systems, Fault Detection and Diagnostic (FDD) systems, or more broadly Energy Management and Information Systems, to cost-effectively enable savings on the order of ten to twenty percent. Most of these systems use data from meters and sensors, with rule-based and/or data-driven models to characterize system and building behavior. In contrast, physics-based modeling uses first-principles and engineering models (e.g., efficiency curves) to characterize system and building behavior. Historically, these physics-based approaches have been used in the design phase of the building life cycle or in retrofit analyses. Researchers have begun exploring the benefits of integrating physics-based models with operational data analytics tools, bridging the gap between design and operations. In this paper, we detail the development and operator use of a software tool that uses hybrid data-driven and physics-based approaches to cooling plant FDD and optimization. Specifically, we describe the system architecture, models, and FDD and optimization algorithms; advantages and disadvantages with respect to purely data-driven approaches; and practical implications for scaling and replicating these techniques. Finally, we conclude with an evaluation of the future potential for such tools and future research opportunities.

  12. Novel 3D Approach to Flare Modeling via Interactive IDL Widget Tools

    Science.gov (United States)

    Nita, G. M.; Fleishman, G. D.; Gary, D. E.; Kuznetsov, A.; Kontar, E. P.

    2011-12-01

    Currently, and soon-to-be, available sophisticated 3D models of particle acceleration and transport in solar flares require a new level of user-friendly visualization and analysis tools allowing quick and easy adjustment of the model parameters and computation of realistic radiation patterns (images, spectra, polarization, etc). We report the current state of the art of these tools in development, already proved to be highly efficient for the direct flare modeling. We present an interactive IDL widget application intended to provide a flexible tool that allows the user to generate spatially resolved radio and X-ray spectra. The object-based architecture of this application provides full interaction with imported 3D magnetic field models (e.g., from an extrapolation) that may be embedded in a global coronal model. Various tools provided allow users to explore the magnetic connectivity of the model by generating magnetic field lines originating in user-specified volume positions. Such lines may serve as reference lines for creating magnetic flux tubes, which are further populated with user-defined analytical thermal/non thermal particle distribution models. By default, the application integrates IDL callable DLL and Shared libraries containing fast GS emission codes developed in FORTRAN and C++ and soft and hard X-ray codes developed in IDL. However, the interactive interface allows interchanging these default libraries with any user-defined IDL or external callable codes designed to solve the radiation transfer equation in the same or other wavelength ranges of interest. To illustrate the tool capacity and generality, we present a step-by-step real-time computation of microwave and X-ray images from realistic magnetic structures obtained from a magnetic field extrapolation preceding a real event, and compare them with the actual imaging data obtained by NORH and RHESSI instruments. We discuss further anticipated developments of the tools needed to accommodate

  13. MbT-Tool: An open-access tool based on Thermodynamic Electron Equivalents Model to obtain microbial-metabolic reactions to be used in biotechnological process

    Directory of Open Access Journals (Sweden)

    Pablo Araujo Granda

    2016-01-01

    Full Text Available Modelling cellular metabolism is a strategic factor in investigating microbial behaviour and interactions, especially for bio-technological processes. A key factor for modelling microbial activity is the calculation of nutrient amounts and products generated as a result of the microbial metabolism. Representing metabolic pathways through balanced reactions is a complex and time-consuming task for biologists, ecologists, modellers and engineers. A new computational tool to represent microbial pathways through microbial metabolic reactions (MMRs using the approach of the Thermodynamic Electron Equivalents Model has been designed and implemented in the open-access framework NetLogo. This computational tool, called MbT-Tool (Metabolism based on Thermodynamics can write MMRs for different microbial functional groups, such as aerobic heterotrophs, nitrifiers, denitrifiers, methanogens, sulphate reducers, sulphide oxidizers and fermenters. The MbT-Tool's code contains eighteen organic and twenty inorganic reduction-half-reactions, four N-sources (NH4+, NO3−, NO2−, N2 to biomass synthesis and twenty-four microbial empirical formulas, one of which can be determined by the user (CnHaObNc. MbT-Tool is an open-source program capable of writing MMRs based on thermodynamic concepts, which are applicable in a wide range of academic research interested in designing, optimizing and modelling microbial activity without any extensive chemical, microbiological and programing experience.

  14. Applications and issues of GIS as tool for civil engineering modeling

    Science.gov (United States)

    Miles, S.B.; Ho, C.L.

    1999-01-01

    A tool that has proliferated within civil engineering in recent years is geographic information systems (GIS). The goal of a tool is to supplement ability and knowledge that already exists, not to serve as a replacement for that which is lacking. To secure the benefits and avoid misuse of a burgeoning tool, engineers must understand the limitations, alternatives, and context of the tool. The common benefits of using GIS as a supplement to engineering modeling are summarized. Several brief case studies of GIS modeling applications are taken from popular civil engineering literature to demonstrate the wide use and varied implementation of GIS across the discipline. Drawing from the case studies, limitations regarding traditional GIS data models find the implementation of civil engineering models within current GIS are identified and countered by discussing the direction of the next generation of GIS. The paper concludes by highlighting the potential for the misuse of GIS in the context of engineering modeling and suggests that this potential can be reduced through education and awareness. The goal of this paper is to promote awareness of the issues related to GIS-based modeling and to assist in the formulation of questions regarding the application of current GIS. The technology has experienced much publicity of late, with many engineers being perhaps too excited about the usefulness of current GIS. An undoubtedly beneficial side effect of this, however, is that engineers are becoming more aware of GIS and, hopefully, the associated subtleties. Civil engineers must stay informed of GIS issues and progress, but more importantly, civil engineers must inform the GIS community to direct the technology development optimally.

  15. Hanford River Protection Project Life cycle Cost Modeling Tool to Enhance Mission Planning - 13396

    International Nuclear Information System (INIS)

    Dunford, Gary; Williams, David; Smith, Rick

    2013-01-01

    The Life cycle Cost Model (LCM) Tool is an overall systems model that incorporates budget, and schedule impacts for the entire life cycle of the River Protection Project (RPP) mission, and is replacing the Hanford Tank Waste Operations Simulator (HTWOS) model as the foundation of the RPP system planning process. Currently, the DOE frequently requests HTWOS simulations of alternative technical and programmatic strategies for completing the RPP mission. Analysis of technical and programmatic changes can be performed with HTWOS; however, life cycle costs and schedules were previously generated by manual transfer of time-based data from HTWOS to Primavera P6. The LCM Tool automates the preparation of life cycle costs and schedules and is needed to provide timely turnaround capability for RPP mission alternative analyses. LCM is the simulation component of the LCM Tool. The simulation component is a replacement of the HTWOS model with new capability to support life cycle cost modeling. It is currently deployed in G22, but has been designed to work in any full object-oriented language with an extensive feature set focused on networking and cross-platform compatibility. The LCM retains existing HTWOS functionality needed to support system planning and alternatives studies going forward. In addition, it incorporates new functionality, coding improvements that streamline programming and model maintenance, and capability to input/export data to/from the LCM using the LCM Database (LCMDB). The LCM Cost/Schedule (LCMCS) contains cost and schedule data and logic. The LCMCS is used to generate life cycle costs and schedules for waste retrieval and processing scenarios. It uses time-based output data from the LCM to produce the logic ties in Primavera P6 necessary for shifting activities. The LCM Tool is evolving to address the needs of decision makers who want to understand the broad spectrum of risks facing complex organizations like DOE-RPP to understand how near

  16. An Algerian Minister visits CERN

    CERN Multimedia

    2006-01-01

    The Algerian Minister of Higher Education and Scientific Research, Rachid Haraoubia, visited CERN on 14 November. His party included the Rector of the University of Blida and the Director of the Algerian Ecole Nationale Polytechnique. Welcomed by CERN's Director-General, Robert Aymar, and Secretary-General, Maximilien Metzger, he signed the VIP Visitors' Book before going on to visit the ATLAS experiment and the LHC tunnel. He then had the opportunity to meet Algerian scientists working at CERN. Some fifteen Algerian physicists attached to European and US institutes are participating in the LHC experiments, in particular ATLAS. A formal collaboration agreement between Algeria and CERN is expected to be drawn up in the near future.

  17. Young EIROforum prizewinner visits CERN

    CERN Multimedia

    CERN Bulletin

    2015-01-01

    On 27 to 31 July, CERN welcomed Paul Clarke, an 18-year-old Irish mathematician who won a CERN EIROforum prize (second place) at EUCYS 2014 (European Union Contest for Young Scientists).   Paul Clarke, visiting the new Microcosm exhibit. In addition to a €5000 prize, Paul visited the Laboratory and its experiments, meeting and speaking with CERN physicists and computer scientists. Paul's winning project is entitled "Contributions to cyclic graph theory." As the summary of the project suggests, graph theory is an area of pure mathematics which studies properties of linkages and networks. It has applications in several areas including computing, molecular structure, neuroscience, search engines, engineering etc. This project makes a profound contribution to the study of graphs. It identifies key concepts and provides the methodology to apply them to some long-standing major problems in the subject with great success. Paul has just finished high sc...

  18. Two pioneering artists visit CERN

    CERN Multimedia

    CERN Bulletin

    2015-01-01

    On Monday, 19 January, CERN physicists welcomed musician Tim Blake - progressive rock keyboard and theremin player - and architectural lighting designer Patrice Warrener - inventor of the Chromolithe Polychromatic Illumination system, used in Lyon’s “Fête des Lumières”. Together, they make up the musical duo "Crystal Machine".   The artists visit the Antiproton Decelerator. (Image: Django Manglunki.)   Their visit began with an introduction to CERN by their friend Django Manglunki, project leader for the ion injector chain, and an improvised discussion on the LHC extraction system with Roger Barlow, kicker magnet controls expert and progressive rock fan. This was followed by a quick trip to the CCC, the server room and the SPS RF amplifiers in BA3. Next on the itinerary was a tour of the AD and anti-hydrogen experiments led by Michael Doser, AEgIS Spokesperson. A leisurely lunch followed, in the company ...

  19. CMS Partial Releases Model, Tools, and Applications. Online and Framework-Light Releases

    CERN Document Server

    Jones, Christopher D; Meschi, Emilio; Shahzad Muzaffar; Andreas Pfeiffer; Ratnikova, Natalia; Sexton-Kennedy, Elizabeth

    2009-01-01

    The CMS Software project CMSSW embraces more than a thousand packages organized in subsystems for analysis, event display, reconstruction, simulation, detector description, data formats, framework, utilities and tools. The release integration process is highly automated by using tools developed or adopted by CMS. Packaging in rpm format is a built-in step in the software build process. For several well-defined applications it is highly desirable to have only a subset of the CMSSW full package bundle. For example, High Level Trigger algorithms that run on the Online farm, and need to be rebuilt in a special way, require no simulation, event display, or analysis packages. Physics analysis applications in Root environment require only a few core libraries and the description of CMS specific data formats. We present a model of CMS Partial Releases, used for preparation of the customized CMS software builds, including description of the tools used, the implementation, and how we deal with technical challenges, suc...

  20. PredicT-ML: a tool for automating machine learning model building with big clinical data.

    Science.gov (United States)

    Luo, Gang

    2016-01-01

    Predictive modeling is fundamental to transforming large clinical data sets, or "big clinical data," into actionable knowledge for various healthcare applications. Machine learning is a major predictive modeling approach, but two barriers make its use in healthcare challenging. First, a machine learning tool user must choose an algorithm and assign one or more model parameters called hyper-parameters before model training. The algorithm and hyper-parameter values used typically impact model accuracy by over 40 %, but their selection requires many labor-intensive manual iterations that can be difficult even for computer scientists. Second, many clinical attributes are repeatedly recorded over time, requiring temporal aggregation before predictive modeling can be performed. Many labor-intensive manual iterations are required to identify a good pair of aggregation period and operator for each clinical attribute. Both barriers result in time and human resource bottlenecks, and preclude healthcare administrators and researchers from asking a series of what-if questions when probing opportunities to use predictive models to improve outcomes and reduce costs. This paper describes our design of and vision for PredicT-ML (prediction tool using machine learning), a software system that aims to overcome these barriers and automate machine learning model building with big clinical data. The paper presents the detailed design of PredicT-ML. PredicT-ML will open the use of big clinical data to thousands of healthcare administrators and researchers and increase the ability to advance clinical research and improve healthcare.