WorldWideScience

Sample records for unit improved model

  1. Efficiency of endoscopy units can be improved with use of discrete event simulation modeling.

    Science.gov (United States)

    Sauer, Bryan G; Singh, Kanwar P; Wagner, Barry L; Vanden Hoek, Matthew S; Twilley, Katherine; Cohn, Steven M; Shami, Vanessa M; Wang, Andrew Y

    2016-11-01

    Background and study aims: The projected increased demand for health services obligates healthcare organizations to operate efficiently. Discrete event simulation (DES) is a modeling method that allows for optimization of systems through virtual testing of different configurations before implementation. The objective of this study was to identify strategies to improve the daily efficiencies of an endoscopy center with the use of DES. Methods: We built a DES model of a five procedure room endoscopy unit at a tertiary-care university medical center. After validating the baseline model, we tested alternate configurations to run the endoscopy suite and evaluated outcomes associated with each change. The main outcome measures included adequate number of preparation and recovery rooms, blocked inflow, delay times, blocked outflows, and patient cycle time. Results: Based on a sensitivity analysis, the adequate number of preparation rooms is eight and recovery rooms is nine for a five procedure room unit (total 3.4 preparation and recovery rooms per procedure room). Simple changes to procedure scheduling and patient arrival times led to a modest improvement in efficiency. Increasing the preparation/recovery rooms based on the sensitivity analysis led to significant improvements in efficiency. Conclusions: By applying tools such as DES, we can model changes in an environment with complex interactions and find ways to improve the medical care we provide. DES is applicable to any endoscopy unit and would be particularly valuable to those who are trying to improve on the efficiency of care and patient experience.

  2. An improved two stages dynamic programming/artificial neural network solution model to the unit commitment of thermal units

    Energy Technology Data Exchange (ETDEWEB)

    Abbasy, N.H. [College of Technological Studies, Shuwaikh (Kuwait); Elfayoumy, M.K. [Univ. of Alexandria (Egypt). Dept. of Electrical Engineering

    1995-11-01

    An improved two stages solution model to the unit commitment of thermal units is developed in this paper. In the first stage a pre-schedule is generated using a high quality trained artificial neural net (ANN). A dynamic programming (DP) algorithm is implemented and applied in the second stage for the final determination of the commitment states. The developed solution model avoids the complications imposed by the generation of the variable window structure, proposed by other techniques. A unified approach for the treatment of the ANN is also developed in the paper. The validity of the proposed technique is proved via numerical applications to both sample and small practical power systems. 12 refs, 9 tabs

  3. IMPROVED MODELS AND METHOD OF POWER CHANGE OF NPP UNIT WITH VVER-1000

    Directory of Open Access Journals (Sweden)

    Tymur Foshch

    2017-05-01

    Full Text Available This study represents the improved mathematical and imitational allocated in space multi-zone model of VVER-1000 which differs from the known one. It allows to take into account the energy release of 235U nuclei fission as well as 239Pu . Moreover, this model includes sub-models of simultaneous control impact of the boric acid concentration in the coolant of the first circuit and the position of 9th group control rods which allows to consider it as the model with allocated parameters and also allows to monitor changes in the mentioned technological parameters by reactor core symmetry sectors, by layers of reactor core height and by fuel assembly group each symmetry sector. Moreover, this model allows to calculate important process-dependent parameters of the reactor (including axial offset as quantitative measure of its safety. As the mathematical and imitational models were improved, it allows to take into account intrinsic properties of the reactor core (including transient processes of xenon and thus reduce the error of modelling static and dynamic properties of the reactor.The automated control method of power change of the NPP unit with VVER-1000 was proposed for the first time. It uses three control loops. One of which maintains the regulatory change of reactor power by regulating the concentration of boric acid in the coolant, the second circuit keeps the required value of axial offset by changing the position of control rods, and the third one holds constant the coolant temperature mode by regulating the position of the main turbo generator valves.On the basis of the above obtained method, two control programs were improved. The first one is the improved control program that implements the constant temperature of the coolant in the first circuit and the second one is the improved control program that implements the constant steam pressure in the second circuit.

  4. Improved Inventory Models for the United States Coast Guard Requirements Determination Process

    Science.gov (United States)

    1993-10-01

    Trepp present two versions of 5-24 a multi-item, supply availability safety level model.9 They used the Method of Lagrange Multipliers to solve for ki...the safety-level factor for item i. The Presutti and Trepp models address units backordered. To convert their unit models to requisition models, that...requisition size. R sE-Tnw MODELING In their paper, Presutti and Trepp also gave two ve.sions of a multi-item, response-time, safety-level model

  5. Topographic variables improve climate models of forage species abundance in the northeastern United States

    Science.gov (United States)

    Species distribution modeling has most commonly been applied to presence-only data and to woody species, but detailed predicted abundance maps for forage species would be of great value for agricultural management and land use planning. We used field data from 107 farms across the northeastern Unite...

  6. The Case for Unit-Based Teams: A Model for Front-line Engagement and Performance Improvement

    OpenAIRE

    Cohen, Paul M; Ptaskiewicz, Mark; Mipos, Debra

    2010-01-01

    Unit-based teams (UBTs)—defined as natural work groups of physicians, managers, and frontline staff who work collaboratively to solve problems, improve performance, and enhance quality—were established by the 2005 national agreement between Kaiser Permanente (KP) and the Coalition of KP Unions. They use established performance-improvement techniques and employee-engagement principles (including social-movement theory) to achieve clinical and operational goals. UBT members identify performance...

  7. The Case for Unit-Based Teams: A Model for Front-line Engagement and Performance Improvement.

    Science.gov (United States)

    Cohen, Paul M; Ptaskiewicz, Mark; Mipos, Debra

    2010-01-01

    Unit-based teams (UBTs)-defined as natural work groups of physicians, managers, and frontline staff who work collaboratively to solve problems, improve performance, and enhance quality-were established by the 2005 national agreement between Kaiser Permanente (KP) and the Coalition of KP Unions. They use established performance-improvement techniques and employee-engagement principles (including social-movement theory) to achieve clinical and operational goals. UBT members identify performance gaps and opportunities within their purview-issues they can address in the course of the day-to-day work, such as workflow or process improvement. By focusing on clear, agreed-on goals, UBTs encourage greater accountability and allow members to perform their full scope of work. UBTs are designed to deliver measurable benefits in clinical outcomes and operations, patient-experience enhancements, and physician-team performance or work life. For many physicians, UBTs will require new ways of engaging with their teams. However, evidence suggests that with organizational and physician support, these teams can achieve their goals. This article presents case examples of successful UBTs' outcomes; physicians' comments on their experience working with teams; an overview of UBTs' employee-engagement principles; and advice on how physicians can support and participate in the work of such teams.

  8. Improved PI-PD control design using predictive functional optimization for temperature model of a fluidized catalytic cracking unit.

    Science.gov (United States)

    Zou, Hongbo; Li, Haisheng

    2017-03-01

    Proportional-integral-derivative (PID) control is widely used in industry because of its simple structure and convenient implementation. However, PID control is suitable for small time delay systems; while if too large delay is encountered, PID control may not obtain the desired performance. Proportional-integral-proportional-derivative (PI-PD) control is a modified of PID control and can get improved control performance; however, due to the complex controller parameter tuning, the PI-PD control is used in a limited scope. Inspired by the advantage of predictive functional control (PFC), a new PI-PD control design using PFC optimization is proposed in this paper. The proposed method not only inherits the advantage of PFC, which does well in coping with the time delay, but also has the same structure as the PI-PD controller. The proposed method is tested on the preheated temperature control of crude oil in a fluidized catalytic cracking unit. The results show that the proposed controller improves control performance compared with typical PID control and PI-PD control.

  9. THE COMPARISON OF BANKING SUPERVISION MODEL IN INDONESIA, UNITED KINGDOM, SOUTH KOREA AS EFORTS TO IMPROVE INDONESIAN SUPERVISION SYSTEM

    Directory of Open Access Journals (Sweden)

    Sulistyandari

    2015-05-01

    Full Text Available This study aims to revise banking supervision by conducting comparative studies research model of banking supervision in Indonesia, the UK, South Korea and the aspirations of the respondents (Bank, OJK, theorist in Central Java on efforts to improve banking supervision is now done in Indonesia. The results show Indonesian comparison with the UK and South Korea gives the idea that the OJK in charge of education and consumer protection to enhance its role as practiced by the FCA in the UK, and the LPS assignments need to be expanded in order to ensure that all consumers of financial institutions as was done by the FSCS in the UK and KDIC in South Korea. Aspirations of the people of the regulation and supervision of banking include aspects of regulatory, law enforcement, infrastructure, community (the Bank and culture.

  10. The DcpS inhibitor RG3039 improves survival, function and motor unit pathologies in two SMA mouse models

    Science.gov (United States)

    Gogliotti, Rocky G.; Cardona, Herminio; Singh, Jasbir; Bail, Sophie; Emery, Carina; Kuntz, Nancy; Jorgensen, Michael; Durens, Madel; Xia, Bing; Barlow, Courtenay; Heier, Christopher R.; Plasterer, Heather L.; Jacques, Vincent; Kiledjian, Megerditch; Jarecki, Jill; Rusche, James; DiDonato, Christine J.

    2013-01-01

    Spinal muscular atrophy (SMA) is caused by insufficient levels of the survival motor neuron (SMN) protein due to the functional loss of the SMN1 gene and the inability of its paralog, SMN2, to fully compensate due to reduced exon 7 splicing efficiency. Since SMA patients have at least one copy of SMN2, drug discovery campaigns have sought to identify SMN2 inducers. C5-substituted quinazolines increase SMN2 promoter activity in cell-based assays and a derivative, RG3039, has progressed to clinical testing. It is orally bioavailable, brain-penetrant and has been shown to be an inhibitor of the mRNA decapping enzyme, DcpS. Our pharmacological characterization of RG3039, reported here, demonstrates that RG3039 can extend survival and improve function in two SMA mouse models of varying disease severity (Taiwanese 5058 Hemi and 2B/− SMA mice), and positively impacts neuromuscular pathologies. In 2B/− SMA mice, RG3039 provided a >600% survival benefit (median 18 days to >112 days) when dosing began at P4, highlighting the importance of early intervention. We determined the minimum effective dose and the associated pharmacokinetic (PK) and exposure relationship of RG3039 and DcpS inhibition ex vivo. These data support the long PK half-life with extended pharmacodynamic outcome of RG3039 in 2B/− SMA mice. In motor neurons, RG3039 significantly increased both the average number of cells with gems and average number of gems per cell, which is used as an indirect measure of SMN levels. These studies contribute to dose selection and exposure estimates for the first studies with RG3039 in human subjects. PMID:23736298

  11. The Phase of Illness Paradigm: A Checklist Centric Model to Improve Patient Care in the Burn Intensive Care Unit

    Science.gov (United States)

    2016-04-01

    care. J Trauma. [In Press] 34. Pamplin J, et al. A daily checklist can change intensive care unit hand hygiene culture. Crit Care Med. 2010;38(12... hygiene culture. Crit. Care Med. 2010;38(12): 525 • Pamplin JC, et al. Phases-of-illness paradigm: better communication, better outcomes. Critical...WARRANTIES OF ANY KIND, WHETHER EXPRESS, IMPLIED, STATUTORY OR OTHERWISE, INCLUDING, WITHOUT LIMITATION, WARRANTIES OF TITLE, MERCHANTABILITY , FITNESS FOR

  12. 水文响应单元空间离散化及SWAT模型改进%Spatial discretization of hydrological response units and improved SWAT model

    Institute of Scientific and Technical Information of China (English)

    宁吉才; 刘高焕; 刘庆生; 谢传节

    2012-01-01

    runoff lag time in the SWAT can be applied. The improved version of SWAT is tested on the Xitiaoxi watershed of the Taihu Lake basin. The result shows that a notable improvement is achieved in the hydrological simulation compared to the original SWAT simulation for both model calibration and validation periods. The Nash-Sutcliffe model efficiency coefficients have been improved from 0. 64 to 0. 67 for calibration and from 0. 70 to 0. 76 for validation, respectively. The improved SWAT model can better reflect the runoff lag process and achieve a better simulation result. The new approach for spatial discretization of hydrologic response units is an effective solution for the model optimization, and can provide better estimates to the spatial data analysis at finer scales.

  13. THE IMPROVED XINANJIANG MODEL

    Institute of Scientific and Technical Information of China (English)

    LI Zhi-jia; YAO Cheng; KONG Xiang-guang

    2005-01-01

    To improve the Xinanjiang model, the runoff generating from infiltration-excess is added to the model.The another 6 parameters are added to Xinanjiang model.In principle, the improved Xinanjiang model can be used to simulate runoff in the humid, semi-humid and also semi-arid regions.The application in Yi River shows the improved Xinanjiang model could forecast discharge with higher accuracy and can satisfy the practical requirements.It also shows that the improved model is reasonable.

  14. Added Value Improvement on Arabica Coffee Wet Process MethodUsing Model Kemitraan Bermediasi (Motramed on Unit Pengolahan Hasil at Ngada Residence - NTT

    Directory of Open Access Journals (Sweden)

    Djoko Soemarno

    2009-05-01

    Full Text Available Ngada Residence is main producen region Arabica coffee in Nusa Tenggara Timur province. There are scattered on district of Bajawa and Golewa, that all of them effort by farmers and low quality, so farmers get low price and coffee development slowly than other coffee region in Indonesia. But, on the other hand, Arabica coffee from this region have potential special taste to be export quality coffee beans. One of way to solve to develop this quality is implementation coffee processing by Wet Process methode and support marketing system better by Model Kemitraan Bermediasi (Motramed. This research started from June until October 2007 at two centre district of Arabica coffee, there are district Bajawa are UPH Fa Masa on Beiwali village, UPH Wonga Wali on Susu village, UPH Papa Taki on Bomari village, UPH Suka Maju on Ubedolumolo village and Kecamatan Golewa are UPH Papa Wiu on Mangulewa village, UPH Meza Mogo on Rakateda II village and UPH Ate Riji on Were I village. This research want to know added value, cost efficiency, and profit on Arabica coffee processing used wet process methode on Unit Pengolahan Hasil (UPH at Ngada Residence. Data was analysed by approximation added value, R-C Ratio analisys and t-One Sample Test. The result showed that Arabica coffee wet process could improved phisic and taste quality, lower of beans size, higher quality grade, smaller defect beans, moisture content lower, had special taste and very few taste defect. Those quality improvement improved price market to be higher, the added value about Rp4,390,- per kg and improved profit for farmers.Key words : Arabica coffee, wet process, quality, added value, efisiency, revenue.

  15. Automated Student Model Improvement

    Science.gov (United States)

    Koedinger, Kenneth R.; McLaughlin, Elizabeth A.; Stamper, John C.

    2012-01-01

    Student modeling plays a critical role in developing and improving instruction and instructional technologies. We present a technique for automated improvement of student models that leverages the DataShop repository, crowd sourcing, and a version of the Learning Factors Analysis algorithm. We demonstrate this method on eleven educational…

  16. Improvement on GM models

    Institute of Scientific and Technical Information of China (English)

    党耀国; 刘思峰; 刘斌

    2004-01-01

    Since grey system theory was established by prof. Deng, GM models and their improvements have all taken the first vector of the original sequence as the initialization, which resulted to deficiency in making use of the latest infor-mation. Based on the principle, which new information should be used fully, we think it is scientific to pay more atten-tion to the new information or endow them a more weigh. So, this paper deals with the GM improvement by taking the n-th vector as the initialization, and gets great improvement in forecasting precision. Last, we validate the practicability and reliability of the moelds with examples.

  17. Improving flexibility characteristics of 200 MW unit

    Directory of Open Access Journals (Sweden)

    Taler Jan

    2017-03-01

    Full Text Available Calculations were performed of the thermal system of a power plant with installed water pressure tanks. The maximum rise in the block electric power resulting from the shut-off of low-pressure regenerative heaters is determined. At that time, the boiler is fed with hot water from water pressure tanks acting as heat accumulators. Accumulation of hot water in water tanks is also proposed in the periods of the power unit small load. In order to lower the plant electric power in the off-peak night hours, water heated in low-pressure regenerative heaters and feed water tank to the nominal temperature is directed to water pressure tanks. The water accumulated during the night is used to feed the boiler during the period of peak demand for electricity. Drops in the power block electric power were determined for different capacities of the tanks and periods when they are charged. A financial and economic profitability analysis (of costs and benefits is made of the use of tanks for a 200 MW power unit. Operating in the automatic system of frequency and power control, the tanks may also be used to ensure a sudden increase in the electric power of the unit. The results of the performed calculations and analyses indicate that installation of water pressure tanks is well justified. The investment is profitable. Water pressure tanks may not only be used to reduce the power unit power during the off-peak night hours and raise it in the periods of peak demand, but also to increase the power capacity fast at any time. They may also be used to fill the boiler evaporator with hot water during the power unit start-up from the cold state.

  18. Improving flexibility characteristics of 200 MW unit

    Science.gov (United States)

    Taler, Jan; Trojan, Marcin; Taler, Dawid; Dzierwa, Piotr; Kaczmarski, Karol

    2017-03-01

    Calculations were performed of the thermal system of a power plant with installed water pressure tanks. The maximum rise in the block electric power resulting from the shut-off of low-pressure regenerative heaters is determined. At that time, the boiler is fed with hot water from water pressure tanks acting as heat accumulators. Accumulation of hot water in water tanks is also proposed in the periods of the power unit small load. In order to lower the plant electric power in the off-peak night hours, water heated in low-pressure regenerative heaters and feed water tank to the nominal temperature is directed to water pressure tanks. The water accumulated during the night is used to feed the boiler during the period of peak demand for electricity. Drops in the power block electric power were determined for different capacities of the tanks and periods when they are charged. A financial and economic profitability analysis (of costs and benefits) is made of the use of tanks for a 200 MW power unit. Operating in the automatic system of frequency and power control, the tanks may also be used to ensure a sudden increase in the electric power of the unit. The results of the performed calculations and analyses indicate that installation of water pressure tanks is well justified. The investment is profitable. Water pressure tanks may not only be used to reduce the power unit power during the off-peak night hours and raise it in the periods of peak demand, but also to increase the power capacity fast at any time. They may also be used to fill the boiler evaporator with hot water during the power unit start-up from the cold state.

  19. Improving emergency department flow through Rapid Medical Evaluation unit.

    Science.gov (United States)

    Chartier, Lucas; Josephson, Timothy; Bates, Kathy; Kuipers, Meredith

    2015-01-01

    The Toronto Western Hospital is an academic hospital in Toronto, Canada, with an annual Emergency Department (ED) volume of 64,000 patients. Despite increases in patient volumes of almost six percent per annum over the last decade, there have been no commensurate increases in resources, infrastructure, and staffing. This has led to substantial increase in patient wait times, most specifically for those patients with lower acuity presentations. Despite requiring only minimal care, these patients contribute disproportionately to ED congestion, which can adversely impact resource utilization and quality of care for all patients. We undertook a retrospective evaluation of a quality improvement initiative aimed at improving wait times experienced by patients with lower acuity presentations. A rapid improvement event was organized by frontline workers to rapidly overhaul processes of care, leading to the creation of the Rapid Medical Evaluation (RME) unit - a new pathway of care for patients with lower acuity presentations. The RME unit was designed by re-purposing existing resources and re-assigning one physician and one nurse towards the specific care of these patients. We evaluated the performance of the RME unit through measurement of physician initial assessment (PIA) times and total length of stay (LOS) times for multiple groups of patients assigned to various ED care pathways, during three periods lasting three months each. Weekly measurements of mean and 90th percentile of PIA and LOS times showed special cause variation in all targeted patient groups. Of note, the patients seen in the RME unit saw their median PIA and LOS times decrease from 98min to 70min and from 165min to 130min, respectively, from baseline. Despite ever-growing numbers of patient visits, wait times for all patients with lower acuity presentations remained low, and wait times of patients with higher acuity presentations assigned to other ED care pathways were not adversely affected. By

  20. Improving the Magnetic Anomaly Map of the United States

    Science.gov (United States)

    McIndoo, M.; Shaw, A.; Batir, J.; Ravat, D.; Milligan, P.; Kucks, R. P.; Hill, P.; Hildenbrand, T. G.

    2007-05-01

    We have improved magnetic anomaly map of the United States using National Uranium Reconnaissance & Evaluations (NURE) aeromagnetic surveys collected during the 1970s. Previous versions of these data processed using IGRF/DGRF do not mesh well at the survey boundaries because of leveling artifacts. Similarly, the U.S. component of the North American magnetic anomaly map has long wavelength errors caused by warping of hundreds of state and local aeromagnetic surveys during the merging process. The main difference in our processing that has allowed us to retain proper base levels is the use of the temporally continuous main field Comprehensive Model (CM4) by Sabaka et al. (2004, GJI, 159, 521-547). The advantage of using the NURE surveys is that most of these surveys have time information and diurnal variation observed with basestation magnetometers is removed from them. Furthermore, we have cleaned the NURE data by removing many spurious values through visual inspection. Some NURE surveys did not have total field values or time information. For these surveys, we reintroduced the IGRF for their approximate date and removed the core field determined by CM4. We compare the results of our processing and improvements with the U.S. aeromagnetic anomaly data prepared by different merging techniques. The improved map is more suitable for regional geologic and geodynamic interpretations.

  1. Unit testing, model validation, and biological simulation

    Science.gov (United States)

    Watts, Mark D.; Ghayoomie, S. Vahid; Larson, Stephen D.; Gerkin, Richard C.

    2016-01-01

    The growth of the software industry has gone hand in hand with the development of tools and cultural practices for ensuring the reliability of complex pieces of software. These tools and practices are now acknowledged to be essential to the management of modern software. As computational models and methods have become increasingly common in the biological sciences, it is important to examine how these practices can accelerate biological software development and improve research quality. In this article, we give a focused case study of our experience with the practices of unit testing and test-driven development in OpenWorm, an open-science project aimed at modeling Caenorhabditis elegans. We identify and discuss the challenges of incorporating test-driven development into a heterogeneous, data-driven project, as well as the role of model validation tests, a category of tests unique to software which expresses scientific models. PMID:27635225

  2. An Improved Cosmological Model

    CERN Document Server

    Tsamis, N C

    2016-01-01

    We study a class of non-local, action-based, and purely gravitational models. These models seek to describe a cosmology in which inflation is driven by a large, bare cosmological constant that is screened by the self-gravitation between the soft gravitons that inflation rips from the vacuum. Inflation ends with the universe poised on the verge of gravitational collapse, in an oscillating phase of expansion and contraction that should lead to rapid reheating when matter is included. After the attainment of a hot, dense universe the nonlocal screening terms become constant as the universe evolves through a conventional phase of radiation domination. The onset of matter domination triggers a much smaller anti-screening effect that could explain the current phase of acceleration.

  3. Improved cosmological model

    Science.gov (United States)

    Tsamis, N. C.; Woodard, R. P.

    2016-08-01

    We study a class of nonlocal, action-based, and purely gravitational models. These models seek to describe a cosmology in which inflation is driven by a large, bare cosmological constant that is screened by the self-gravitation between the soft gravitons that inflation rips from the vacuum. Inflation ends with the Universe poised on the verge of gravitational collapse, in an oscillating phase of expansion and contraction that should lead to rapid reheating when matter is included. After the attainment of a hot, dense Universe the nonlocal screening terms become constant as the Universe evolves through a conventional phase of radiation domination. The onset of matter domination triggers a much smaller antiscreening effect that could explain the current phase of acceleration.

  4. Model United Nations at CERN

    CERN Document Server

    2012-01-01

    From 20 to 22 January, 300 young people from international secondary schools in Switzerland, France and Turkey will meet at CERN to debate scientific topics at a Model UN Conference.   Representing some 50 countries, they will form committees and a model General Assembly to discuss the meeting’s chosen topic: “UN – World Science Pole for Progress”.

  5. Implementing a Nurse Manager Profile to Improve Unit Performance.

    Science.gov (United States)

    Krugman, Mary E; Sanders, Carolyn L

    2016-06-01

    Nurse managers face significant pressures in the rapidly changing healthcare environment. Staying current with multiple sources of data, including reports that detail institutional and unit performance outcomes, is particularly challenging. A Nurse Manager Customized Profile was developed at a western academic hospital to provide a 1-page visual of pertinent data to help managers and director supervisors focus coaching to improve unit performance. Use of the Decisional Involvement Scale provided new insights into measuring manager performance.

  6. Ergonomic interventions to improve work environment in garment manufacturing units

    Directory of Open Access Journals (Sweden)

    Parimalam Parimalam

    2006-01-01

    Full Text Available The work environment in the garment manufacturing units is unhealthy and unsafe for the workers, resulting in several health problems. Analysis of garment manufacturing units using a combination of techniques revealed that the congested work area, improper ventilation, dust, unergonomic workstations, excessive noise and non-use of personal protective equipment were the major constraints faced by the workers in these units. Based on the study, interventions to improve the work environment, safety aspects and work methods have been suggested which could be adopted on a wider scale.

  7. MELCOR modeling of Fukushima unit 2 accident

    Energy Technology Data Exchange (ETDEWEB)

    Sevon, Tuomo [VTT Technical Research Centre of Finland, Espoo (Finland)

    2014-12-15

    A MELCOR model of the Fukushima Daiichi unit 2 accident was created in order to get a better understanding of the event and to improve severe accident modeling methods. The measured pressure and water level could be reproduced relatively well with the calculation. This required adjusting the RCIC system flow rates and containment leak area so that a good match to the measurements is achieved. Modeling of gradual flooding of the torus room with water that originated from the tsunami was necessary for a satisfactory reproduction of the measured containment pressure. The reactor lower head did not fail in this calculation, and all the fuel remained in the RPV. 13 % of the fuel was relocated from the core area, and all the fuel rods lost their integrity, releasing at least some volatile radionuclides. According to the calculation, about 90 % of noble gas inventory and about 0.08 % of cesium inventory was released to the environment. The release started 78 h after the earthquake, and a second release peak came at 90 h. Uncertainties in the calculation are very large because there is scarce public data available about the Fukushima power plant and because it is not yet possible to inspect the status of the reactor and the containment. Uncertainty in the calculated cesium release is larger than factor of ten.

  8. Non-linear Loudspeaker Unit Modelling

    DEFF Research Database (Denmark)

    Pedersen, Bo Rohde; Agerkvist, Finn T.

    2008-01-01

    Simulations of a 6½-inch loudspeaker unit are performed and compared with a displacement measurement. The non-linear loudspeaker model is based on the major nonlinear functions and expanded with time-varying suspension behaviour and flux modulation. The results are presented with FFT plots of three...... frequencies and different displacement levels. The model errors are discussed and analysed including a test with loudspeaker unit where the diaphragm is removed....

  9. Modeling of active beam units with Modelica

    DEFF Research Database (Denmark)

    Maccarini, Alessandro; Hultmark, Göran; Vorre, Anders

    2015-01-01

    This paper proposes an active beam model suitable for building energy simulations with the programming language Modelica. The model encapsulates empirical equations derived by a novel active beam terminal unit that operates with low-temperature heating and high-temperature cooling systems....... Measurements from a full-scale experiment are used to compare the thermal behavior of the active beam with the one predicted by simulations. The simulation results show that the model corresponds closely with the actual operation. The model predicts the outlet water temperature of the active beam...... with a maximum mean absolute error of 0.18 °C. In term of maximum mean absolute percentage error, simulation results differ by 0.9%. The methodology presented is general enough to be applied for modeling other active beam units. Modeling of active beam units with Modelica. Available from: https...

  10. Eurodish-Continuous Operation, System Improvement and Reference Units

    Energy Technology Data Exchange (ETDEWEB)

    Keck, T.; Schiel, W.; Heller, P.; Reinalter, W.; Gineste, J. M.; Ferriere, A.; Flamant, G.

    2006-07-01

    The 10 kWel Dish/Stirling system EuroDish was enhanced. Newly developed and improved components like the ceramic cavity insulation and the control system are described as well as a novel assembly method for the concentrator and a number of improvements and new features of the control software. Country Reference Units were built in Spain, France and Germany and are continuously operated. Operation experiences and performance data are presented. (Author)

  11. Improving Size and Power in Unit Root Testing

    DEFF Research Database (Denmark)

    Haldrup, Niels; Jansson, Michael

    of recent contributions to improve upon both size and power of unit root tests and in so doing the approach of using rigorous statistical optimality criteria in the development of such tests is stressed. In addition to presenting tests where improved size can be achieved by modifying the standard Dickey......A frequent criticism of unit root tests concerns the poor power and size properties that many of such testsexhibit. However, the past decade or so intensive research has been conducted to alleviate these problems and great advances have been made. The present paper provides a selective survey......-Fuller class of tests, the paper presents theory of optimal testing and the construction of power envelopes for unit root tests underdifferent conditions allowing for serial correlation, deterministic components, assumptions regarding the initial condition, non-Gaussian errors, and the use of covariates....

  12. Improved CPAS Photogrammetric Capabilities for Engineering Development Unit (EDU) Testing

    Science.gov (United States)

    Ray, Eric S.; Bretz, David R.

    2013-01-01

    This paper focuses on two key improvements to the photogrammetric analysis capabilities of the Capsule Parachute Assembly System (CPAS) for the Orion vehicle. The Engineering Development Unit (EDU) system deploys Drogue and Pilot parachutes via mortar, where an important metric is the muzzle velocity. This can be estimated using a high speed camera pointed along the mortar trajectory. The distance to the camera is computed from the apparent size of features of known dimension. This method was validated with a ground test and compares favorably with simulations. The second major photogrammetric product is measuring the geometry of the Main parachute cluster during steady-state descent using onboard cameras. This is challenging as the current test vehicles are suspended by a single-point attachment unlike earlier stable platforms suspended under a confluence fitting. The mathematical modeling of fly-out angles and projected areas has undergone significant revision. As the test program continues, several lessons were learned about optimizing the camera usage, installation, and settings to obtain the highest quality imagery possible.

  13. Improving gasoline quality produced from MIDOR light naphtha isomerization unit

    Directory of Open Access Journals (Sweden)

    M.F. Mohamed

    2017-03-01

    Full Text Available Isomerization process became one of the best gasoline production sources, as it gives a high octane product while saving environment from pollution impacts. This paper presents a practical study that aims to improve the gasoline quality and economic income of an existing light naphtha isomerization unit used for octane improvement. The study included selecting the optimum combination of isomerization unit equipment that gives better product specifications for a specified feed. Eight scenarios were studied and simulated to predict the product specs. The original studied unit is MIDOR light naphtha isomerization unit at Alexandria-Egypt that recycles the unconverted hexane (C6. The other studied scenarios were adding fractionators for separating feed iso-pentanes, and recycling unconverted pentanes, hexanes and/or combinations of these fractionators. The results show a change in octane number of gasoline product for a specific feed. Once through process with no extra fractionators has lower octane number of 81 while that with de-iso-pentanizer–de-pentanizer and de-hexanizer produces gasoline with 92.3 octane number. Detailed economic study was done to calculate the return on investment “ROI” for each process option based on equipment, utilities, feed and product prices. Once through simple isomerization unit had the lowest ROI of 14.3% per year while the combination of De-iso-pentanizer with the De-hexanizer had the best ROI of 26.6% per year.

  14. Economic implications of neonatal intensive care unit collaborative quality improvement

    NARCIS (Netherlands)

    Rogowski, JA; Horbar, JD; Plsek, PE; Baker, LS; Deterding, J; Edwards, WH; Hocker, J; Kantak, AD; Lewallen, P; Lewis, W; Lewit, E; McCarroll, CJ; Mujsce, D; Payne, NR; Shiono, P; Soll, RF; Leahy, K

    2001-01-01

    Objective. To make measurable improvements in the quality and cost of neonatal intensive care using a multidisciplinary collaborative quality improvement model. Design. Interventional study. Data on treatment costs were collected for infants with birth weight 501 to 1500 g for the period of January

  15. An Online Multi-unit Auction with Improved Competitive Ratio

    CERN Document Server

    Chakraborty, Sourav

    2009-01-01

    We improve the best known competitive ratio (from 1/4 to 1/2), for the online multi-unit allocation problem, where the objective is to maximize the single-price revenue. Moreover, the competitive ratio of our algorithm tends to 1, as the bid-profile tends to ``smoothen''. This algorithm is used as a subroutine in designing truthful auctions for the same setting: the allocation has to be done online, while the payments can be decided at the end of the day. Earlier, a reduction from the auction design problem to the allocation problem was known only for the unit-demand case. We give a reduction for the general case when the bidders have decreasing marginal utilities. The problem is inspired by sponsored search auctions.

  16. Using domain specific languages to improve the development of a power control unit

    NARCIS (Netherlands)

    Schuts, M.; Hooman, J.

    2015-01-01

    To improve the design of a power control unit at Philips, two Domain Specific Languages (DSLs) have been used. The first DSL provides a concise and readable notation for the essential state transitions. It is used to generate both configuration files and analysis models. In addition, we also generat

  17. Simulating county-level crop yields in the Conterminous United States using the Community Land Model: The effects of optimizing irrigation and fertilization: IMPROVING CROP YIELD SIMULATIONS IN CLM

    Energy Technology Data Exchange (ETDEWEB)

    Leng, Guoyong [Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park Maryland USA; Zhang, Xuesong [Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park Maryland USA; Huang, Maoyi [Earth System Analysis and Modeling Group, Atmospheric Sciences & Global Change Division, Pacific Northwest National Laboratory, Richland Washington USA; Yang, Qichun [Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park Maryland USA; Rafique, Rashid [Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park Maryland USA; Asrar, Ghassem R. [Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park Maryland USA; Ruby Leung, L. [Earth System Analysis and Modeling Group, Atmospheric Sciences & Global Change Division, Pacific Northwest National Laboratory, Richland Washington USA

    2016-12-19

    Representing agricultural systems explicitly in Earth system models is important for understanding the water-energy-food nexus under climate change. In this study, we applied Version 4.5 of the Community Land Model (CLM) at a 0.125 degree resolution to provide the first county-scale validation of the model in simulating crop yields over the Conterminous United States (CONUS). We focused on corn and soybean that are both important grain crops and biofuel feedstocks (corn for bioethanol; soybean for biodiesel). We find that the default model substantially under- or over-estimate yields of corn and soybean as compared to the US Department of Agriculture (USDA) census data, with corresponding county-level root-mean square error (RMSE) of 45.3 Bu/acre and 12.9 Bu/acre, or 42% and 38% of the US mean yields for these crops, respectively. Based on the numerical experiments, the lack of proper representation of agricultural management practices, such as irrigation and fertilization, was identified as a major cause for the model's poor performance. After implementing an irrigation management scheme calibrated against county-level US Geological Survey (USGS) census data, the county-level RMSE for corn yields reduced to 42.6 Bu/acre. We then incorporated an optimized fertilizer scheme in rate and timing, which is achieved by the constraining annual total fertilizer amount against the USDA data, considering the dynamics between fertilizer demand and supply and adopting a calibrated fertilizer scheduling map. The proposed approach is shown to be effective in increasing the fertilizer use efficiency for corn yields, with county-level RMSE reduced to 23.8 Bu/acre (or 22% of the US mean yield). In regions with similar annual fertilizer applied as in the default, the improvements in corn yield simulations are mainly attributed to application of longer fertilization periods and consideration of the dynamics between fertilizer demand and supply. For soybean which is capable of

  18. Improving associative memory in older adults with unitization.

    Science.gov (United States)

    Ahmad, Fahad N; Fernandes, Myra; Hockley, William E

    2015-01-01

    We examined if unitization inherent preexperimentally could reduce the associative deficit in older adults. In Experiment 1, younger and older adults studied compound word (CW; e.g., store keeper) and noncompound word (NCW; e.g., needle birth) pairs. We found a reduction in the age-related associative deficit such that older but not younger adults showed a discrimination advantage for CW relative to NCW pairs on a yes-no associative recognition test. These results suggest that CW compared to NCW word pairs provide schematic support that older adults can use to improve their memory. In Experiment 2, reducing study time in younger adults decreased associative recognition performance, but did not produce a discrimination advantage for CW pairs. In Experiment 3, both older and younger adults showed a discrimination advantage for CW pairs on a two-alternative forced-choice recognition test, which encourages greater use of familiarity. These results suggest that test format influenced young adults' use of familiarity during associative recognition of unitized pairs, and that older adults rely more on familiarity than recollection for associative recognition. Unitization of preexperimental associations, as in CW pairs, can alleviate age-related associative deficits.

  19. Improvements of evaporation drag model

    Institute of Scientific and Technical Information of China (English)

    LI Xiao-Yan; XU Ji-Jun

    2004-01-01

    A special visible experiment facility has been designed and built, and an observable experiment is performed by pouring one or several high-temperature particles into a water pool in the facility. The experiment result has verified Yang's evaporation drag model, which holds that the non-symmetric profile of the local evaporation rate and the local density of vapor would bring about a resultant force on the hot particle so as to resist its motion. However, in Yang's evaporation drag model, radiation heat transfer is taken as the only way to transfer heat from hot particle to the vapor-liquid interface, and all of the radiation energy is deposited on the vapor-liquid interface and contributed to the vaporization rate and mass balance of the vapor film. In improved model heat conduction and heat convection are taken into account. This paper presents calculations of the improved model, putting emphasis on the effect of hot particle's temperature on the radiation absorption behavior of water.

  20. Improving Organizational Learning: Defining Units of Learning from Social Tools

    Directory of Open Access Journals (Sweden)

    André Luís Andrade MENOLLI

    2013-10-01

    Full Text Available New technologies, such as social networks, wikis, blogs and other social tools, enable collaborative work and are important facilitators of the social learning process. Many companies are using these types of tools as substitutes for their intranets, especially software development companies. However, the content generated by these tools in many cases is not appropriately organized. Therefore, this information is often not accessed by the company. Learning objects and units of learning are two e-learning concepts that allow content to be organized in a suitable sequence, thus improving its learning and reuse. Therefore, an approach is proposed to generate learning objects and units of learning from social tools in order to organize information for easy reuse. To evaluate the proposed approach, an experimental study was conducted and subjected to discursive textual analysis. The results show that the approach is viable for improving organizational learning in software development teams. Furthermore, the approach is efficient, especially in terms of the acquisition of new knowledge. It also helps to maintain the organizational pattern and minimize the reinvention of solutions and the repetition of errors.

  1. Improving the Quotation Process of an After-Sales Unit

    OpenAIRE

    Matilainen, Janne

    2013-01-01

    The purpose of this study was to model and analyze the quotation process of area managers at a global company. Process improvement requires understanding the fundamentals of the process. The study was conducted a case study. Data comprised of internal documentation of the case company, literature, and semi-structured, themed interviews of process performers and stakeholders. The objective was to produce model of the current state of the process. The focus was to establish a holistic view o...

  2. Improvements in ECN Wake Model

    Energy Technology Data Exchange (ETDEWEB)

    Versteeg, M.C. [University of Twente, Enschede (Netherlands); Ozdemir, H.; Brand, A.J. [ECN Wind Energy, Petten (Netherlands)

    2013-08-15

    Wind turbines extract energy from the flow field so that the flow in the wake of a wind turbine contains less energy and more turbulence than the undisturbed flow, leading to less energy extraction for the downstream turbines. In large wind farms, most turbines are located in the wake of one or more turbines causing the flow characteristics felt by these turbines differ considerably from the free stream flow conditions. The most important wake effect is generally considered to be the lower wind speed behind the turbine(s) since this decreases the energy production and as such the economical performance of a wind farm. The overall loss of a wind farm is very much dependent on the conditions and the lay-out of the farm but it can be in the order of 5-10%. Apart from the loss in energy production an additional wake effect is formed by the increase in turbulence intensity, which leads to higher fatigue loads. In this sense it becomes important to understand the details of wake behavior to improve and/or optimize a wind farm layout. Within this study improvements are presented for the existing ECN wake model which constructs the fundamental basis of ECN's FarmFlow wind farm wake simulation tool. The outline of this paper is as follows: first, the governing equations of the ECN wake farm model are presented. Then the near wake modeling is discussed and the results compared with the original near wake modeling and EWTW (ECN Wind Turbine Test Site Wieringermeer) data as well as the results obtained for various near wake implementation cases are shown. The details of the atmospheric stability model are given and the comparison with the solution obtained for the original surface layer model and with the available data obtained by EWTW measurements are presented. Finally the conclusions are summarized.

  3. Quality improvement in radiography in a neonatal intensive care unit

    Energy Technology Data Exchange (ETDEWEB)

    Loovere, L.; Boyle, E.M. [Dept. of Pediatrics, McMaster Univ., Hamilton, Ontario (Canada); Blatz, S. [Dept. of Pediactrics, McMaster Children' s Hospital, Hamilton Health Sciences, Hamilton, Ontario (Canada); Bowslaugh, M.; Kereliuk, M. [Dept. of Radiology, Diagnostic Imaging, Hamilton Health Sciences, Hamilton, Ontario (Canada); Paes, B. [Dept. of Pediatrics, McMaster Univ., Hamilton, Ontario (Canada)], E-mail: paes@mcmaster.ca

    2008-10-15

    The primary objective of this study was to ensure that X-rays performed consistently adhere to established technological quality standards and are achieved without compromising patient care while minimizing exposure risks. The secondary objective was to evaluate whether educational sessions targeting areas deemed suboptimal would facilitate improvement. A retrospective, 1-week review of all neonatal X-rays and documentation of clinical information on X-ray requisitions (n = 132) was completed in a tertiary care neonatal intensive care unit (NICU), by a single observer. Standards for X-ray evaluation were defined a priori based on radiographic principles and essential documented medical information for correct interpretation. Targeted areas for improvement were identified and addressed through brief educational sessions and printed pamphlets. The review was repeated after recommendations were implemented. 1 month (n = 93) and 1 year (n = 76) later. Improvements were evident in both the completion of X-ray requisitions and image quality. In particular, there was a statistically significant improvement in requisition legibility (P = 0.019), completeness of the medical history (P < 0.001), reduction in X-ray rotation (P < 0.001), collimation to the specific area of interest (P <0.001), gonadal shielding (P < 0.001), and decrease in monitor leads or artifacts obscuring views (P < 0.001). These improvements were sustained both 1 month and 1 year following the educational sessions. A neonatal X-ray audit is a simple, effective way to evaluate radiographic technique and encourage provision of basic clinical information for diagnostic interpretation by radiologists and neonatologists. As well, structured, collaborative educational sessions between radiology and neonatology staff appear to be a successful and sustainable method to effect overall improvement. (author)

  4. A healthcare Lean Six Sigma System for postanesthesia care unit workflow improvement.

    Science.gov (United States)

    Kuo, Alex Mu-Hsing; Borycki, Elizabeth; Kushniruk, Andre; Lee, Te-Shu

    2011-01-01

    The aim of this article is to propose a new model called Healthcare Lean Six Sigma System that integrates Lean and Six Sigma methodologies to improve workflow in a postanesthesia care unit. The methodology of the proposed model is fully described. A postanesthesia care unit case study is also used to demonstrate the benefits of using the Healthcare Lean Six Sigma System model by combining Lean and Six Sigma methodologies together. The new model bridges the service gaps between health care providers and patients, balances the requirements of health care managers, and delivers health care services to patients by taking the benefits of the Lean speed and Six Sigma high-quality principles. The full benefits of the new model will be realized when applied at both strategic and operational levels. For further research, we will examine how the proposed model is used in different real-world case studies.

  5. Method and apparatus for operating an improved thermocline storage unit

    Science.gov (United States)

    Copeland, Robert J.

    1985-01-01

    A method and apparatus for operating a thermocline storage unit in which an insulated barrier member is provided substantially at the interface region between the hot and cold liquids in the storage tank. The barrier member physically and thermally separates the hot and cold liquids substantially preventing any diffusing or mixing between them and substantially preventing any heat transfer therebetween. The barrier member follows the rise and fall of the interface region between the liquids as the tank is charged and discharged. Two methods of maintaining it in the interface region are disclosed. With the structure and operation of the present invention and in particular the significant reduction in diffusing or mixing between the hot and cold liquids as well as the significant reduction in the thermal heat transfer between them, the performance of the storage tank is improved. More specifically, the stability of the interface region or thermocline is enhanced and the thickness of the thermocline is reduced producing a corresponding increase in the steepness of the temperature gradient across the thermocline and a more efficiently operating thermocline storage unit.

  6. Personalised modelling of facial action unit intensity

    NARCIS (Netherlands)

    Yang, Shuang; Rudovic, Ognjen; Pavlovic, Vladimir; Pantic, Maja

    2014-01-01

    Facial expressions depend greatly on facial morphology and expressiveness of the observed person. Recent studies have shown great improvement of the personalized over non-personalized models in variety of facial expression related tasks, such as face and emotion recognition. However, in the context

  7. 75 FR 18238 - United States Section; Final Environmental Impact Statement, Flood Control Improvements and...

    Science.gov (United States)

    2010-04-09

    ..., Flood Control Improvements and Partial Levee Relocation, United States Section, International Boundary and Water Commission (USIBWC) Presidio Flood Control Project (FCP), Presidio, TX AGENCY: United States... potential consequences of each action alternative in reference to flood control improvements. Following...

  8. Improving the Context Supporting Quality Improvement in a Neonatal Intensive Care Unit Quality Collaborative: An Exploratory Field Study.

    Science.gov (United States)

    Grooms, Heather R; Froehle, Craig M; Provost, Lloyd P; Handyside, James; Kaplan, Heather C

    Successful quality improvement (QI) requires a supportive context. The goal was to determine whether a structured curriculum could help QI teams improve the context supporting their QI work. An exploratory field study was conducted of 43 teams participating in a neonatal intensive care unit QI collaborative. Using a curriculum based on the Model for Understanding Success in Quality, teams identified gaps in their context and tested interventions to modify context. Surveys and self-reflective journals were analyzed to understand how teams developed changes to modify context. More than half (55%) targeted contextual improvements within the microsystem, focusing on motivation and culture. "Information sharing" interventions to communicate information about the project as a strategy to engage more staff were the most common interventions tested. Further study is needed to determine if efforts to modify context consistently lead to greater outcome improvements.

  9. A Multimodal Intervention Improves Postanesthesia Care Unit Handovers.

    Science.gov (United States)

    Weinger, Matthew B; Slagle, Jason M; Kuntz, Audrey H; Schildcrout, Jonathan S; Banerjee, Arna; Mercaldo, Nathaniel D; Bills, James L; Wallston, Kenneth A; Speroff, Theodore; Patterson, Emily S; France, Daniel J

    2015-10-01

    Failures of communication are a major contributor to perioperative adverse events. Transitions of care may be particularly vulnerable. We sought to improve postoperative handovers. We introduced a multimodal intervention in an adult and a pediatric postanesthesia care unit (PACU) to improve postoperative handovers between anesthesia providers (APs) and PACU registered nurses (RNs). The intervention included a standardized electronic handover report form, a didactic webinar, mandatory simulation training focused on improving interprofessional communication, and post-training performance feedback. Trained, blinded nurse observers scored PACU handovers during 17 months using a structured tool consisting of 8 subscales and a global score (1-5 scale). Multivariate logistic regression assessed the effect of the intervention on the proportion of observed handovers receiving a global effectiveness rating of ≥3. Four hundred fifty-two clinicians received the simulation-based training, and 981 handovers were observed and rated. In the adult PACU, the estimated percentages of acceptable handovers (global ratings ≥3) among AP-RN pairs, where neither received simulation-based training (untrained dyads), was 3% (95% confidence interval, 1%-11%) at day 0, 10% (5%-19%) at training initiation (day 40), and 57% (33%-78%) at 1-year post-training initiation (day 405). For AP-RN pairs where at least one received the simulation-based training (trained dyads), these percentages were estimated to be 18% (11%-28%) and 68% (57%-76%) on days 40 and 405, respectively. The percentage of acceptable handovers was significantly greater on day 405 than it was on day 40 for both untrained (P 3 years later.

  10. Harnessing graphics processing units for improved neuroimaging statistics.

    Science.gov (United States)

    Eklund, Anders; Villani, Mattias; Laconte, Stephen M

    2013-09-01

    Simple models and algorithms based on restrictive assumptions are often used in the field of neuroimaging for studies involving functional magnetic resonance imaging, voxel based morphometry, and diffusion tensor imaging. Nonparametric statistical methods or flexible Bayesian models can be applied rather easily to yield more trustworthy results. The spatial normalization step required for multisubject studies can also be improved by taking advantage of more robust algorithms for image registration. A common drawback of algorithms based on weaker assumptions, however, is the increase in computational complexity. In this short overview, we will therefore present some examples of how inexpensive PC graphics hardware, normally used for demanding computer games, can be used to enable practical use of more realistic models and accurate algorithms, such that the outcome of neuroimaging studies really can be trusted.

  11. Improving the performance of jaggery making unit using solar energy

    Directory of Open Access Journals (Sweden)

    Lakshmi Pathi Jakkamputi

    2016-09-01

    Full Text Available The thermal performance of open earth pan furnace used conventionally for preparing jaggery (gur is very low. Dry bagasse is used as a fuel to produce heat in a combustion process in the open earth furnace. The energy loss due to inefficient combustion process, the energy loss through exhaust gases and other losses due to furnace wall, convection and radiation bring the thermal efficiency of open earth pan furnace to a low value. Certain quantity of energy produced in combustion process is used to sensibly heat the sugarcane juice to its evaporation temperature. Solar collectors can supply the sensible heat required to raise the sugarcane juice temperature up to its boiling point, thereby reducing the total quantity of heat required in preparing the jaggery. Solar drier can be used to supply hot air required for the combustion process to burn the bagasse in more efficient manner. This paper presents analytical calculations done to study the performance improvement of the jaggery making unit using solar collector and solar drier.

  12. CNE article: safety culture in Australian intensive care units: establishing a baseline for quality improvement.

    Science.gov (United States)

    Chaboyer, Wendy; Chamberlain, Di; Hewson-Conroy, Karena; Grealy, Bernadette; Elderkin, Tania; Brittin, Maureen; McCutcheon, Catherine; Longbottom, Paula; Thalib, Lukman

    2013-03-01

    Workplace safety culture is a crucial ingredient in patients' outcomes and is increasingly being explored as a guide for quality improvement efforts. To establish a baseline understanding of the safety culture in Australian intensive care units. In a nationwide study of physicians and nurses in 10 Australian intensive care units, the Safety Attitudes Questionnaire intensive care unit version was used to measure safety culture. Descriptive statistics were used to summarize the mean scores for the 6 subscales of the questionnaire, and generalized-estimation-equations models were used to test the hypotheses that safety culture differed between physicians and nurses and between nurse leaders and bedside nurses. A total of 672 responses (50.6% response rate) were received: 513 (76.3%) from nurses, 89 (13.2%) from physicians, and 70 (10.4%) from respondents who did not specify their professional group. Ratings were highest for teamwork climate and lowest for perceptions of hospital management and working conditions. Four subscales, job satisfaction, teamwork climate, safety climate, and working conditions, were rated significantly higher by physicians than by nurses. Two subscales, working conditions and perceptions of hospital management, were rated significantly lower by nurse leaders than by bedside nurses. Measuring the baseline safety culture of an intensive care unit allows leaders to implement targeted strategies to improve specific dimensions of safety culture. These strategies ultimately may improve the working conditions of staff and the care that patients receive.

  13. Improving Intensive Care Unit and Ward Utilization by Adapting Master Surgery Schedules.

    Science.gov (United States)

    Fügener, Andreas; Edenharter, Guenther Michael; Kiefer, Paskal; Mayr, Ulrike; Schiele, Julian; Steiner, Fabian; Kolisch, Rainer; Blobner, Manfred

    2016-03-15

    With increasing organizational and financial pressure on hospitals, each individual surgical treatment has to be reviewed and planned thoroughly. Apart from the expensive operating room facilities, proper staffing and planning of downstream units, like the wards or the intensive care units (ICUs), should be considered as well. In this article, we outline the relationship between a master surgery schedule (MSS), i.e., the assignment of surgical blocks to medical specialties, and the bed demand in the downstream units using an analytical model. By using historical data retrieved from the clinical information system and a patient flow model, we applied a recently developed algorithm for predicting bed demand based on the MSSs for patients of 3 surgical subspecialties of a hospital. Simulations with 3 different MSSs were performed. The impact on the required amount of beds in the downstream units was analyzed. We show the potential improvements of the current MSS considering 2 main goals: leveling workload among days and reduction of weekend utilization. We discuss 2 different MSSs, one decreasing the weekend ICU utilization by 20% and the other one reducing maximum ward bed demand by 7%. A test with 12 months of real-life data validates the results. The application of the algorithm provides detailed insights for the hospital into the impact of MSS designs on the bed demand in downstream units. It allowed creating MSSs that avoid peaks in bed demand and high weekend occupancy levels in the ICU and the ward.

  14. IMPROVEMENT DIRECTIONS OF MAINTENANCE SYSTEM OF MULTIPLE UNIT

    Directory of Open Access Journals (Sweden)

    O. S. Krasheninin

    2014-07-01

    Full Text Available Purpose. Efficiency of function multiple units park (MUP as a complex system considerably depends on the modes and conditions of its operation, which is defined as the state of their eigenstate and state of the system content. The purpose is the decision scientifically - a technical problem of system of the content of maintenance operation and repair of a rolling stock. Methodology. Article is devoted to a question of the maintenance operation and repair of a rolling stock of Ukraine. On the basis of theoretical probe, the situation which has developed on maintenance operation and repair of MVPS is analysed. The comparative analysis of a railway, motor and air transportation is provided. On the basis of the analysis and comparison by authors it is offered transition from scheduled preventive to system of service of railway transport to service on an actual state. Findings. According to given theoretical comparison of the put perspective in different types of transport it is possible to note that experience and features of operation rolling stock in allied industries is the base for revision and improvement of system of the maintenance rolling stock, including at various stages of its operation. Originality. This article provides the comparative theoretical analysis, concerning contents and repair system between railway, automobile and by air. Practical value. Introduction new approaches of the maintenance operation and rolling stocks repair will allow carrying out gradual transition from maintenance operation and repairing existing scheduled preventive system in repair system «on an actual state». Thus it is possible maximum cutting-down of number of sudden refusals in operation, providing high coefficient of operational readiness of a rolling stock (to 0.95. A comparative analysis of the maintenance system and repair is the basis of the transition feasibility.

  15. Model United Nations comes to CERN

    CERN Document Server

    Anaïs Schaeffer

    2012-01-01

    From 20 to 22 January pupils from international schools in Switzerland, France and Turkey came to CERN for three days of "UN-type" conferences.   The MUN organisers, who are all pupils at the Lycée international in Ferney-Voltaire, worked tirelessly for weeks to make the event a real success. The members of the MUN/MFNU association at the Lycée international in Ferney-Voltaire spent several months preparing for their first "Model United Nations" (MUN),  a simulation of a UN session at which young "diplomats" take on the role of delegates representing different nations to discuss a given topic. And as their chosen topic was science, it was only natural that they should hold the event at CERN. For three days, from 20 to 22 January, no fewer than 340 pupils from 12 international schools* in Switzerland, France and Turkey came together to deliberate, consult and debate on the importance of scientific progress fo...

  16. Physical Improvements in Exciter/Igniter Units Project

    Data.gov (United States)

    National Aeronautics and Space Administration — The proposed project consists of developing a prototype exciter/igniter unit that can operate to a subset of expected flight performance requirements. The main focus...

  17. Improved Trailing Edge Noise Model

    DEFF Research Database (Denmark)

    Bertagnolio, Franck

    2012-01-01

    The modeling of the surface pressure spectrum under a turbulent boundary layer is investigated in the presence of an adverse pressure gradient along the flow direction. It is shown that discrepancies between measurements and results from a well-known model increase as the pressure gradient...... increases. This model is modified by introducing anisotropy in the definition of the vertical velocity component spectrum across the boundary layer. The degree of anisotropy is directly related to the strength of the pressure gradient. It is shown that by appropriately normalizing the pressure gradient...... and by tuning the anisotropy factor, experimental results can be closely reproduced by the modified model. In this section, the original TNO-Blake model is modified in order to account for the effects of a pressure gradient through turbulence anisotropy. The model results are compared with measurements...

  18. Improving Staffing and Nurse Engagement in a Neuroscience Intermediate Unit.

    Science.gov (United States)

    Nadolski, Charles; Britt, Pheraby; Ramos, Leah C

    2017-06-01

    The neuroscience intermediate unit is a 23-bed unit that was initially staffed with a nurse-to-patient ratio of 1:4 to 1:5. In time, the unit's capacity to care for the exceeding number of progressively acute patients fell short of the desired goals in the staff affecting the nurse satisfaction. The clinical nurses desired a lower nurse-patient ratio. The purpose of this project was to justify a staffing increase through a return on investment and increased quality metrics. This initiative used mixed methodology to determine the ideal staffing for a neuroscience intermediate unit. The quantitative section focused on a review of the acuity of the patients. The qualitative section was based on descriptive interviews with University Healthcare Consortium nurse managers from similar units. The study reviewed the acuity of 9,832 patient days to determine the accurate acuity of neuroscience intermediate unit patients. Nurse managers at 12 University Healthcare Consortium hospitals and 8 units at the Medical University of South Carolina were contacted to compare staffing levels. The increase in nurse staffing contributed to an increase in many quality metrics. There were an 80% decrease in controllable nurse turnover and a 75% reduction in falls with injury after the lowered nurse-patient ratio. These 2 metrics established a return on investment for the staffing increase. In addition, the staffing satisfaction question on the Press Ganey employee engagement survey increased from 2.44 in 2013 to 3.72 in 2015 in response to the advocacy of the bedside nurses.

  19. Improved model for statistical alignment

    Energy Technology Data Exchange (ETDEWEB)

    Miklos, I.; Toroczkai, Z. (Zoltan)

    2001-01-01

    The statistical approach to molecular sequence evolution involves the stochastic modeling of the substitution, insertion and deletion processes. Substitution has been modeled in a reliable way for more than three decades by using finite Markov-processes. Insertion and deletion, however, seem to be more difficult to model, and thc recent approaches cannot acceptably deal with multiple insertions and deletions. A new method based on a generating function approach is introduced to describe the multiple insertion process. The presented algorithm computes the approximate joint probability of two sequences in 0(13) running time where 1 is the geometric mean of the sequence lengths.

  20. Tests and studies on improved innovativeness of sand reclamation units

    Directory of Open Access Journals (Sweden)

    F. Pezarski

    2007-04-01

    Full Text Available The aim of the present study was raising the innovativeness of sand reclamation units through application of a new material - austempered ductile iron (ADI - for elements exposed to abrasion wear and impacts. Methods used for casting of ADI blades for disk-type reclamation units were described along with the results of tests and measurements of the obtained hardness, strength and microstructure. The ready ADI castings of blades were next subjected to performance tests to compare them with the conventionally made cast steel blades operating under industrial conditions. The obtained results of the tests confirmed high properties and numerous benefits offered by ADI respetive of cast steel used as a material for elements of sand reclamation units.

  1. Optimizing Combination of Units Commitment Based on Improved Genetic Algorithms

    Institute of Scientific and Technical Information of China (English)

    LAI Yifei; ZHANG Qianhua; JIA Junping

    2007-01-01

    GAs are general purpose optimization techniques based on principles inspired from the biological evolution using metaphors of mechanisms, such as natural selection, genetic recombination and survival of the fittest. By use of coding betterment, the dynamic changes of the mutation rate and the crossover probability, the dynamic choice of subsistence, the reservation of the optimal fitness value, a modified genetic algorithm for optimizing combination of units in thermal power plants is proposed.And through taking examples, test result are analyzed and compared with results of some different algorithms. Numerical results show available value for the unit commitment problem with examples.

  2. Improving Interoperability by Incorporating UnitsML Into Markup Languages.

    Science.gov (United States)

    Celebi, Ismet; Dragoset, Robert A; Olsen, Karen J; Schaefer, Reinhold; Kramer, Gary W

    2010-01-01

    Maintaining the integrity of analytical data over time is a challenge. Years ago, data were recorded on paper that was pasted directly into a laboratory notebook. The digital age has made maintaining the integrity of data harder. Nowadays, digitized analytical data are often separated from information about how the sample was collected and prepared for analysis and how the data were acquired. The data are stored on digital media, while the related information about the data may be written in a paper notebook or stored separately in other digital files. Sometimes the connection between this "scientific meta-data" and the analytical data is lost, rendering the spectrum or chromatogram useless. We have been working with ASTM Subcommittee E13.15 on Analytical Data to create the Analytical Information Markup Language or AnIML-a new way to interchange and store spectroscopy and chromatography data based on XML (Extensible Markup Language). XML is a language for describing what data are by enclosing them in computer-useable tags. Recording the units associated with the analytical data and metadata is an essential issue for any data representation scheme that must be addressed by all domain-specific markup languages. As scientific markup languages proliferate, it is very desirable to have a single scheme for handling units to facilitate moving information between different data domains. At NIST, we have been developing a general markup language just for units that we call UnitsML. This presentation will describe how UnitsML is used and how it is being incorporated into AnIML.

  3. A Unified Framework for Systematic Model Improvement

    DEFF Research Database (Denmark)

    Kristensen, Niels Rode; Madsen, Henrik; Jørgensen, Sten Bay

    2003-01-01

    A unified framework for improving the quality of continuous time models of dynamic systems based on experimental data is presented. The framework is based on an interplay between stochastic differential equation (SDE) modelling, statistical tests and multivariate nonparametric regression...

  4. Forecasting the Unit Cost of a Product with Some Linear Fuzzy Collaborative Forecasting Models

    Directory of Open Access Journals (Sweden)

    Toly Chen

    2012-10-01

    Full Text Available Forecasting the unit cost of every product type in a factory is an important task. However, it is not easy to deal with the uncertainty of the unit cost. Fuzzy collaborative forecasting is a very effective treatment of the uncertainty in the distributed environment. This paper presents some linear fuzzy collaborative forecasting models to predict the unit cost of a product. In these models, the experts’ forecasts differ and therefore need to be aggregated through collaboration. According to the experimental results, the effectiveness of forecasting the unit cost was considerably improved through collaboration.

  5. Revised Ontology Improves United States Water-Quality Data Sharing (Invited)

    Science.gov (United States)

    Scott, J. C.; Gellenbeck, D.; Gunthardt, K.

    2010-12-01

    The United States Environmental Protection Agency (USEPA) and the United States Geological Survey (USGS) have each deployed a web-service based water-quality data-retrieval system that uses mutually consistent nomenclature. Users have access to millions of water-quality results from across the United States through these retrieval systems. The new terminology and domains used in this collaboration evolved from related efforts by partnerships with federal, state, and tribal environmental-monitoring programs. The new nomenclature improves on a decades-old model that employed five-digit parameter codes to identify some combination of measurement attributes such as constituent, medium, fraction, units of measure, and measurement method. That approach created a potpourri of parameter codes that did not lend itself easily to identifying or combining the data. The new web system parses these characteristics into separate data elements such as measured characteristic, units of measurement, and physical fraction. The new format simplifies finding measurements of a single type, such as fecal coliform or sulfate, by characterizing the constituents using a shared vocabulary between the USEPA and USGS retrieval systems. The measured constituent is a foundational domain which is embodied by the USEPA Substance Registry System (SRS). The SRS is a database system for tracking standard terms and synonyms for names of chemicals, physical properties, and biological organisms. All database systems explicitly or implicitly impose an ontology on the subject realm. USGS and USEPA have collaborated for decades on water-quality data storage and retrieval systems. The most recent attempt employs more atomistic and universal concepts than previous efforts and improves retrieval of water-quality data for all interested parties.

  6. The Best Practice Unit: a model for learning, research and development

    NARCIS (Netherlands)

    Wilken, Jean Pierre; Slagmaat, Carla van; Gijzel, Sascha van

    2013-01-01

    The Best Practice Unit (BPU) model constitutes a unique form of practice-based research. A variant of the Community of Practice model developed by Wenger, McDermott and Snyder (2002), the BPU has the specific aim of improving professional practice by combining innovation and research. The model is u

  7. The Best Practice Unit: a model for learning, research and development

    NARCIS (Netherlands)

    dr Jean Pierre Wilken; Carla van Slagmaat; Msc Sascha van Gijzel

    2013-01-01

    The Best Practice Unit (BPU) model constitutes a unique form of practice-based research. A variant of the Community of Practice model developed by Wenger, McDermott and Snyder (2002), the BPU has the specific aim of improving professional practice by combining innovation and research. The model is

  8. An Improved QTM Subdivision Model with Approximate Equal-area

    Directory of Open Access Journals (Sweden)

    ZHAO Xuesheng

    2016-01-01

    Full Text Available To overcome the defect of large area deformation in the traditional QTM subdivision model, an improved subdivision model is proposed which based on the “parallel method” and the thought of the equal area subdivision with changed-longitude-latitude. By adjusting the position of the parallel, this model ensures that the grid area between two adjacent parallels combined with no variation, so as to control area variation and variation accumulation of the QTM grid. The experimental results show that this improved model not only remains some advantages of the traditional QTM model(such as the simple calculation and the clear corresponding relationship with longitude/latitude grid, etc, but also has the following advantages: ①this improved model has a better convergence than the traditional one. The ratio of area_max/min finally converges to 1.38, far less than 1.73 of the “parallel method”; ②the grid units in middle and low latitude regions have small area variations and successive distributions; meanwhile, with the increase of subdivision level, the grid units with large variations gradually concentrate to the poles; ③the area variation of grid unit will not cumulate with the increasing of subdivision level.

  9. Improving the smoking patterns in a general hospital psychiatric unit

    Directory of Open Access Journals (Sweden)

    Celso Iglesias García

    2009-01-01

    Full Text Available Objectives: The purpose of the present paper is to evaluate the effects of a smoking ban in a general hospital psychiatric unit. Methods: We study the effects of smoking ban in 40 consecutive psychiatric inpatients. The staff registered socio-demographic and tobacco-related variables. We also registered any kind of behavioral effects of smoking ban.Results: The patients were willing to stop smoking during their hospital stay (with or without nicotine replacement with two mild behavioural incidences registered throughout the study. Conclusions: The benefits of non-smoking policy in a psychiatric unit can be significant. The introduction of smoking bans in psychiatric inpatients settings is possible and safe.

  10. Improving the smoking patterns in a general hospital psychiatric unit

    OpenAIRE

    Celso Iglesias García; María José Alonso Villa; Juan Carlos Bernaldo de Quirós; Elena Bocanegra Suárez; Julia Cueta Gonzalo; Rosario García del Valle; José Manuel González González; Álvaro Miranda García; Ana Belén Palacio Bande

    2009-01-01

    Objectives: The purpose of the present paper is to evaluate the effects of a smoking ban in a general hospital psychiatric unit. Methods: We study the effects of smoking ban in 40 consecutive psychiatric inpatients. The staff registered socio-demographic and tobacco-related variables. We also registered any kind of behavioral effects of smoking ban.Results: The patients were willing to stop smoking during their hospital stay (with or without nicotine replacement) with two mild behavioural inc...

  11. Improving Agent Based Modeling of Critical Incidents

    Directory of Open Access Journals (Sweden)

    Robert Till

    2010-04-01

    Full Text Available Agent Based Modeling (ABM is a powerful method that has been used to simulate potential critical incidents in the infrastructure and built environments. This paper will discuss the modeling of some critical incidents currently simulated using ABM and how they may be expanded and improved by using better physiological modeling, psychological modeling, modeling the actions of interveners, introducing Geographic Information Systems (GIS and open source models.

  12. Conceptual Model of Quantities, Units, Dimensions, and Values

    Science.gov (United States)

    Rouquette, Nicolas F.; DeKoenig, Hans-Peter; Burkhart, Roger; Espinoza, Huascar

    2011-01-01

    JPL collaborated with experts from industry and other organizations to develop a conceptual model of quantities, units, dimensions, and values based on the current work of the ISO 80000 committee revising the International System of Units & Quantities based on the International Vocabulary of Metrology (VIM). By providing support for ISO 80000 in SysML via the International Vocabulary of Metrology (VIM), this conceptual model provides, for the first time, a standard-based approach for addressing issues of unit coherence and dimensional analysis into the practice of systems engineering with SysML-based tools. This conceptual model provides support for two kinds of analyses specified in the International Vocabulary of Metrology (VIM): coherence of units as well as of systems of units, and dimension analysis of systems of quantities. To provide a solid and stable foundation, the model for defining quantities, units, dimensions, and values in SysML is explicitly based on the concepts defined in VIM. At the same time, the model library is designed in such a way that extensions to the ISQ (International System of Quantities) and SI Units (Systeme International d Unites) can be represented, as well as any alternative systems of quantities and units. The model library can be used to support SysML user models in various ways. A simple approach is to define and document libraries of reusable systems of units and quantities for reuse across multiple projects, and to link units and quantity kinds from these libraries to Unit and QuantityKind stereotypes defined in SysML user models.

  13. SUM (Service Unit Management): An Organizational Approach To Improved Patient Care.

    Science.gov (United States)

    Jelinek, Richard C.; And Others

    To evaluate the effectiveness of Service Unit Management (SUM) in reducing costs, improving quality of care, saving professional nursing time, increasing personnel satisfaction, and setting a stage for further improvements, a national questionnaire survey identified the characteristics of SUM units, and compared the performance of a total of 55…

  14. Logistic Regression Model on Antenna Control Unit Autotracking Mode

    Science.gov (United States)

    2015-10-20

    412TW-PA-15240 Logistic Regression Model on Antenna Control Unit Autotracking Mode DANIEL T. LAIRD AIR FORCE TEST CENTER EDWARDS AFB, CA...OCT 15 4. TITLE AND SUBTITLE Logistic Regression Model on Antenna Control Unit Autotracking Mode 5a. CONTRACT NUMBER 5b. GRANT...alternative-hypothesis. This paper will present an Antenna Auto- tracking model using Logistic Regression modeling. This paper presents an example of

  15. Improved Power Quality Monitoring through Phasor Measurement Unit Data Interpretation

    DEFF Research Database (Denmark)

    Pertl, Michael; Marinelli, Mattia; Bindner, Henrik W.

    2015-01-01

    the correct actions for operating the system. In future power systems more measuring sensors including phasor measurement units will be available distributed all over the power system. They can and should be utilized to increase the observability of the power system. In this paper the impact of photovoltaic....... The voltage unbalance factor (VUF) could be a ‘new’ observable for a particular power system condition. Information about the actual injected wind power for a certain grid area could be derived without knowing/measuring the real wind power injection....

  16. Modelling of an industrial NGL-Recovery unit considering environmental and economic impacts

    Energy Technology Data Exchange (ETDEWEB)

    Sharratt, P. N.; Hernandez-Enriquez, A.; Flores-Tlacuahuac, A.

    2009-07-01

    In this work, an integrated model is presented that identifies key areas in the operation of a cryogenic NGL-recovery unit. This methodology sets out to provide deep understanding of various interrelationship across multiple plant operating factors including reliability, which could be essential for substantial improvement of process performance. The integrated model has been developed to predict the economic and environmental impacts of a real cryogenic unit (600 MMCUF/D) during normal operation, and has been built in Aspen TM. (Author)

  17. Modelling fluidized catalytic cracking unit stripper efficiency

    Directory of Open Access Journals (Sweden)

    García-Dopico M.

    2015-01-01

    Full Text Available This paper presents our modelling of a FCCU stripper, following our earlier research. This model can measure stripper efficiency against the most important variables: pressure, temperature, residence time and steam flow. Few models in the literature model the stripper and usually they do against only one variable. Nevertheless, there is general agreement on the importance of the stripper in the overall process, and the fact that there are few models maybe it is due to the difficulty to obtain a comprehensive model. On the other hand, the proposed model does use all the variables of the stripper, calculating efficiency on the basis of steam flow, pressure, residence time and temperature. The correctness of the model is then analysed, and we examine several possible scenarios, like decreasing the steam flow, which is achieved by increasing the temperature in the stripper.

  18. Triple-glazed insulating unit with improved edge insulation

    Science.gov (United States)

    Goodwin, George B.; Buchanan, Michael J.

    2016-06-07

    An insulating unit includes a first spacer frame between first and second sheets, e.g. glass sheets, and a second spacer frame between the second sheet and a third sheet. A first surface of the first spacer frame is adhered to inner surface of the first sheet, and an opposite second surface of the first spacer frame is adhered to a first surface of the second sheet, by a moisture impervious adhesive layer. A first outer surface of the second spacer frame is adhered to a second surface of the second sheet, and an opposite second outer surface of the second spacer frame is adhered to an inner surface of the third sheet, by the adhesive layer. The first spacer frame and the second spacer frame have an offset of greater than zero.

  19. Triple-glazed insulating unit with improved edge insulation

    Energy Technology Data Exchange (ETDEWEB)

    Goodwin, George B.; Buchanan, Michael J.

    2016-06-07

    An insulating unit includes a first spacer frame between first and second sheets, e.g. glass sheets, and a second spacer frame between the second sheet and a third sheet. A first surface of the first spacer frame is adhered to inner surface of the first sheet, and an opposite second surface of the first spacer frame is adhered to a first surface of the second sheet, by a moisture impervious adhesive layer. A first outer surface of the second spacer frame is adhered to a second surface of the second sheet, and an opposite second outer surface of the second spacer frame is adhered to an inner surface of the third sheet, by the adhesive layer. The first spacer frame and the second spacer frame have an offset of greater than zero.

  20. Randomized controlled trial of a coordinated care intervention to improve risk factor control after stroke or transient ischemic attack in the safety net: Secondary stroke prevention by Uniting Community and Chronic care model teams Early to End Disparities (SUCCEED).

    Science.gov (United States)

    Towfighi, Amytis; Cheng, Eric M; Ayala-Rivera, Monica; McCreath, Heather; Sanossian, Nerses; Dutta, Tara; Mehta, Bijal; Bryg, Robert; Rao, Neal; Song, Shlee; Razmara, Ali; Ramirez, Magaly; Sivers-Teixeira, Theresa; Tran, Jamie; Mojarro-Huang, Elizabeth; Montoya, Ana; Corrales, Marilyn; Martinez, Beatrice; Willis, Phyllis; Macias, Mireya; Ibrahim, Nancy; Wu, Shinyi; Wacksman, Jeremy; Haber, Hilary; Richards, Adam; Barry, Frances; Hill, Valerie; Mittman, Brian; Cunningham, William; Liu, Honghu; Ganz, David A; Factor, Diane; Vickrey, Barbara G

    2017-02-06

    Recurrent strokes are preventable through awareness and control of risk factors such as hypertension, and through lifestyle changes such as healthier diets, greater physical activity, and smoking cessation. However, vascular risk factor control is frequently poor among stroke survivors, particularly among socio-economically disadvantaged blacks, Latinos and other people of color. The Chronic Care Model (CCM) is an effective framework for multi-component interventions aimed at improving care processes and outcomes for individuals with chronic disease. In addition, community health workers (CHWs) have played an integral role in reducing health disparities; however, their effectiveness in reducing vascular risk among stroke survivors remains unknown. Our objectives are to develop, test, and assess the economic value of a CCM-based intervention using an Advanced Practice Clinician (APC)-CHW team to improve risk factor control after stroke in an under-resourced, racially/ethnically diverse population. In this single-blind randomized controlled trial, 516 adults (≥40 years) with an ischemic stroke, transient ischemic attack or intracerebral hemorrhage within the prior 90 days are being enrolled at five sites within the Los Angeles County safety-net setting and randomized 1:1 to intervention vs usual care. Participants are excluded if they do not speak English, Spanish, Cantonese, Mandarin, or Korean or if they are unable to consent. The intervention includes a minimum of three clinic visits in the healthcare setting, three home visits, and Chronic Disease Self-Management Program group workshops in community venues. The primary outcome is blood pressure (BP) control (systolic BP factors including lipids and hemoglobin A1c, (3) inflammation (C reactive protein [CRP]), (4) medication adherence, (5) lifestyle factors (smoking, diet, and physical activity), (6) estimated relative reduction in risk for recurrent stroke or myocardial infarction (MI), and (7) cost

  1. Neural and Cognitive Modeling with Networks of Leaky Integrator Units

    Science.gov (United States)

    Graben, Peter beim; Liebscher, Thomas; Kurths, Jürgen

    After reviewing several physiological findings on oscillations in the electroencephalogram (EEG) and their possible explanations by dynamical modeling, we present neural networks consisting of leaky integrator units as a universal paradigm for neural and cognitive modeling. In contrast to standard recurrent neural networks, leaky integrator units are described by ordinary differential equations living in continuous time. We present an algorithm to train the temporal behavior of leaky integrator networks by generalized back-propagation and discuss their physiological relevance. Eventually, we show how leaky integrator units can be used to build oscillators that may serve as models of brain oscillations and cognitive processes.

  2. A Procedural Model for Process Improvement Projects

    OpenAIRE

    Kreimeyer, Matthias;Daniilidis, Charampos;Lindemann, Udo

    2017-01-01

    Process improvement projects are of a complex nature. It is therefore necessary to use experience and knowledge gained in previous projects when executing a new project. Yet, there are few pragmatic planning aids, and transferring the institutional knowledge from one project to the next is difficult. This paper proposes a procedural model that extends common models for project planning to enable staff on a process improvement project to adequately plan their projects, enabling them to documen...

  3. The pediatric intensive care unit business model.

    Science.gov (United States)

    Schleien, Charles L

    2013-06-01

    All pediatric intensivists need a primer on ICU finance. The author describes potential alternate revenue sources for the division. Differentiating units by size or academic affiliation, the author describes drivers of expense. Strategies to manage the bottom line including negotiations for hospital services are covered. Some of the current trends in physician productivity and its described metrics, with particular focus on clinical FTE management is detailed. Methods of using this data to enhance revenue are discussed. Some of the other current trends in the ICU business related to changes at the federal and state level as well as in the insurance sector, moving away from fee-for-service are covered. Copyright © 2013 Elsevier Inc. All rights reserved.

  4. Improved computational performance of MFA using elementary metabolite units and flux coupling.

    Science.gov (United States)

    Suthers, Patrick F; Chang, Young J; Maranas, Costas D

    2010-03-01

    Extending the scope of isotope mapping models becomes increasingly important in order to analyze strains and drive improved product yields as more complex pathways are engineered into strains and as secondary metabolites are used as starting points for new products. Here we present how the elementary metabolite unit (EMU) framework and flux coupling significantly decrease the computational burden of metabolic flux analysis (MFA) when applied to large-scale metabolic models. We applied these techniques to a previously published isotope mapping model of Escherichia coli accounting for 238 reactions. We find that the combined use of EMU and flux coupling analysis leads to a ten-fold decrease in the number of variables in comparison to the original isotope distribution vector (IDV) version of the model. In addition, using OptMeas the task of identifying additional measurement choices to fully specify the flows in the metabolic network required only 2% of the computation time of the one using IDVs. The observed computational savings reveal the rapid progress in performing MFA with increasingly larger isotope models with the ultimate goal of handling genome-scale models of metabolism. (c) 2009 Elsevier Inc. All rights reserved.

  5. An improved model of Robinson equivalent circuit analytical model

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

    The Robinson equivalent circuit analytical model can be used only in calculating shielding effectiveness of enclosure with the same multi-holes in one wall, but cannot be used in different multi-holes in two walls. According to the practical requirement, this article uses Konefal’s and Farhana’s characteristic impedance of apertures to improve the equivalent circuit analytical model in different multi-holes in two walls. The improved equivalent circuit analytical model is more useful than Robinson equivalent circuit analytical model. In the article, all kinds of enclosures are simulated by TLM (Transmission-Line Matrix method) to prove that this improved model is feasible in multimode.

  6. Modeling the human invader in the United States

    Science.gov (United States)

    Stohlgren, Thomas J.; Jarnevich, Catherine S.; Giri, Chandra P.

    2010-02-01

    Modern biogeographers recognize that humans are seen as constituents of ecosystems, drivers of significant change, and perhaps, the most invasive species on earth. We found it instructive to model humans as invasive organisms with the same environmental factors. We present a preliminary model of the spread of modern humans in the conterminous United States between 1992 and 2001 based on a subset of National Land Cover Data (NLCD), a time series LANDSAT product. We relied on the commonly used Maxent model, a species-environmental matching model, to map urbanization. Results: Urban areas represented 5.1% of the lower 48 states in 2001, an increase of 7.5% (18,112 km2) in the nine year period. At this rate, an area the size of Massachusetts is converted to urban land use every ten years. We used accepted models commonly used for mapping plant and animal distributions and found that climatic and environmental factors can strongly predict our spread (i.e., the conversion of forests, shrub/grass, and wetland areas into urban areas), with a 92.5% success rate (Area Under the Curve). Adding a roads layer in the model improved predictions to a 95.5% success rate. 8.8% of the 1-km2 cells in the conterminous U.S. now have a major road in them. In 2001, 0.8% of 1-km2 cells in the U.S. had an urbanness value of > 800, (>89% of a 1-km2 cell is urban), while we predict that 24.5% of 1-km2 cells in the conterminous U.S. will be > 800 eventually. Main conclusion: Humans have a highly predictable pattern of urbanization based on climatic and topographic variables. Conservation strategies may benefit from that predictability.

  7. Modeled Thickness of the Overburden Geomodel Unit (obthk_f)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The obthk_f grid represents the modeled thickness of the Overburden geomodel unit at a 500 foot resolution. It is one grid of a geomodel that consists of eleven...

  8. Improving the Nomad microscopic walker model

    NARCIS (Netherlands)

    Campanella, M.C.

    2010-01-01

    This paper presents the results of two calibration efforts and improvements of the Nomad microscopic walker model. Each calibration consisted in comparing the outcome of 19 sets of model parameters with results from laboratory experiments. Three different flows were used in the calibrations: bidirec

  9. Improvements in continuum modeling for biomolecular systems

    CERN Document Server

    Qiao, Yu

    2015-01-01

    Modeling of biomolecular systems plays an essential role in understanding biological processes, such as ionic flow across channels, protein modification or interaction, and cell signaling. The continuum model described by the Poisson-Boltzmann (PB)/Poisson-Nernst-Planck (PNP) equations has made great contributions towards simulation of these processes. However, the model has shortcomings in its commonly used form and cannot capture (or cannot accurately capture) some important physical properties of biological systems. Considerable efforts have been made to improve the continuum model to account for discrete particle interactions and to make progress in numerical methods to provide accurate and efficient simulation. This review will summarize recent main improvements in continuum modeling for biomolecular systems, with focus on the size-modified models, the coupling of the classical density functional theory and PNP equations, the coupling of polar and nonpolar interactions, and numerical progress.

  10. Unit root modeling for trending stock market series

    Directory of Open Access Journals (Sweden)

    Afees A. Salisu

    2016-06-01

    Full Text Available In this paper, we examine how the unit root for stock market series should be modeled. We employ the Narayan and Liu (2015 trend GARCH-based unit root and its variants in order to more carefully capture the inherent statistical behavior of the series. We utilize daily, weekly and monthly data covering nineteen countries across the regions of America, Asia and Europe. We find that the nature of data frequency matters for unit root testing when dealing with stock market data. Our evidence also suggests that stock market data is better modeled in the presence of structural breaks, conditional heteroscedasticity and time trend.

  11. Improving the physiological realism of experimental models.

    Science.gov (United States)

    Vinnakota, Kalyan C; Cha, Chae Y; Rorsman, Patrik; Balaban, Robert S; La Gerche, Andre; Wade-Martins, Richard; Beard, Daniel A; Jeneson, Jeroen A L

    2016-04-06

    The Virtual Physiological Human (VPH) project aims to develop integrative, explanatory and predictive computational models (C-Models) as numerical investigational tools to study disease, identify and design effective therapies and provide an in silico platform for drug screening. Ultimately, these models rely on the analysis and integration of experimental data. As such, the success of VPH depends on the availability of physiologically realistic experimental models (E-Models) of human organ function that can be parametrized to test the numerical models. Here, the current state of suitable E-models, ranging from in vitro non-human cell organelles to in vivo human organ systems, is discussed. Specifically, challenges and recent progress in improving the physiological realism of E-models that may benefit the VPH project are highlighted and discussed using examples from the field of research on cardiovascular disease, musculoskeletal disorders, diabetes and Parkinson's disease.

  12. METHODS FOR IMPROVING THE ENERGY EFFICIENCY OF WELL ROD PUMP UNITS

    Directory of Open Access Journals (Sweden)

    BRUNMAN1 Vladimir E.

    2016-11-01

    Full Text Available The concept of oil production energy efficiency improvement of good rod pumps by utilization of kinetic energy of the downward moving rod in capacitor bank is proposed. A mathematical model of the system is developed. Criteria of reduction of the peak values of current, consuming power and elimination of oscillations are obtained. It is shown that the developed system is capable of reducing the consumption of current twice and the peak power by three times. Thus it is possible to reduce operational and capital costs by reducing the cross-section of the feeder cables and decreasing the power of input transformers and diesel generator set if autonomous feeding of pumping units is used

  13. Improved Survival Among Children with Spina Bifida in the United States

    Science.gov (United States)

    Shin, Mikyong; Kucik, James E.; Siffel, Csaba; Lu, Chengxing; Shaw, Gary M.; Canfield, Mark A.; Correa, Adolfo

    2015-01-01

    Objective To evaluate trends in survival among children with spina bifida by race/ethnicity and possible prognostic factors in 10 regions of the United States. Study design A retrospective cohort study was conducted of 5165 infants with spina bifida born during 1979-2003, identified by 10 birth defects registries in the United States. Survival probabilities and adjusted hazard ratios were estimated for race/ethnicity and other characteristics using the Cox proportional hazard model. Results During the study period, the 1-year survival probability among infants with spina bifida showed improvements for whites (from 88% to 96%), blacks (from 79% to 88%), and Hispanics (from 88% to 93%). The impact of race/ethnicity on survival varied by birth weight, which was the strongest predictor of survival through age 8. There was little racial/ethnic variation in survival among children born of very low birth weight. Among children born of low birth weight, the increased risk of mortality to Hispanics was approximately 4-6 times that of whites. The black-white disparity was greatest among children born of normal birth weight. Congenital heart defects did not affect the risk of mortality among very low birth weight children but increased the risk of mortality 4-fold among children born of normal birth weight. Conclusions The survival of infants born with spina bifida has improved; however, improvements in survival varied by race/ethnicity, and blacks and Hispanics continued to have poorer survival than whites in the most recent birth cohort from 1998-2002. Further studies are warranted to elucidate possible reasons for the observed differences in survival. PMID:22727874

  14. Introducing Model Predictive Control for Improving Power Plant Portfolio Performance

    DEFF Research Database (Denmark)

    Edlund, Kristian Skjoldborg; Bendtsen, Jan Dimon; Børresen, Simon

    2008-01-01

    This paper introduces a model predictive control (MPC) approach for construction of a controller for balancing the power generation against consumption in a power system. The objective of the controller is to coordinate a portfolio consisting of multiple power plant units in the effort to perform...... reference tracking and disturbance rejection in an economically optimal way. The performance function is chosen as a mixture of the `1-norm and a linear weighting to model the economics of the system. Simulations show a significant improvement of the performance of the MPC compared to the current...

  15. An Improved Valuation Model for Technology Companies

    Directory of Open Access Journals (Sweden)

    Ako Doffou

    2015-06-01

    Full Text Available This paper estimates some of the parameters of the Schwartz and Moon (2001 model using cross-sectional data. Stochastic costs, future financing, capital expenditures and depreciation are taken into account. Some special conditions are also set: the speed of adjustment parameters are equal; the implied half-life of the sales growth process is linked to analyst forecasts; and the risk-adjustment parameter is inferred from the company’s observed stock price beta. The model is illustrated in the valuation of Google, Amazon, eBay, Facebook and Yahoo. The improved model is far superior to the Schwartz and Moon (2001 model.

  16. Improving streamflow simulations in the Western United States via ensemble snow data assimilation

    Science.gov (United States)

    Huang, C.; Newman, A. J.; Clark, M. P.; Wood, A. W.; Zheng, X.

    2015-12-01

    The seasonal snowpack is a critical source of water in the western US. Past studies of snow data assimilation (DA) show that the better estimates of snow have the potential to enhance the precision of runoff prediction. In this study we select nine basins across the western United States, with a clear snow cover period and supporting snow water equivalent (SWE) measuring gauges, to test the ability of DA of SWE to improve streamflow simulations made with the coupled Snow17 and Sacramento Soil Moisture Accounting (SAC) models. We find that the relatively drier basins with little snow or runoff and basins with relatively complex snow runoff dynamics have less potential for improvement using SWE DA. For the higher potential basins, sensitivity analysis of the Ensemble Kalman Filter (EnKF) DA behavior shows that the correct estimation of SWE mean value is more important than accurately estimating of observed and forecasted error variance, which nonetheless can strongly influence SWE DA performance. This presentation describes key findings from the study, and also comments on different strategies for representing observed SWE, which typically differs from modeled SWE, in performing SWE DA.

  17. An improved computational constitutive model for glass

    Science.gov (United States)

    Holmquist, Timothy J.; Johnson, Gordon R.; Gerlach, Charles A.

    2017-01-01

    In 2011, Holmquist and Johnson presented a model for glass subjected to large strains, high strain rates and high pressures. It was later shown that this model produced solutions that were severely mesh dependent, converging to a solution that was much too strong. This article presents an improved model for glass that uses a new approach to represent the interior and surface strength that is significantly less mesh dependent. This new formulation allows for the laboratory data to be accurately represented (including the high tensile strength observed in plate-impact spall experiments) and produces converged solutions that are in good agreement with ballistic data. The model also includes two new features: one that decouples the damage model from the strength model, providing more flexibility in defining the onset of permanent deformation; the other provides for a variable shear modulus that is dependent on the pressure. This article presents a review of the original model, a description of the improved model and a comparison of computed and experimental results for several sets of ballistic data. Of special interest are computed and experimental results for two impacts onto a single target, and the ability to compute the damage velocity in agreement with experiment data. This article is part of the themed issue 'Experimental testing and modelling of brittle materials at high strain rates'.

  18. Unified Model of Purification Units in Hydrogen Networks

    Institute of Scientific and Technical Information of China (English)

    吴思东; 王彧斐; 冯霄

    2014-01-01

    Purification processes are widely used in hydrogen networks of refineries to increase hydrogen reuse. In refineries, hydrogen purification techniques include hydrocarbon, hydrogen sulfide and CO removal units. In addi-tion, light hydrocarbon recovery from the hydrogen source streams can also result in hydrogen purification. In order to simplify the superstructure and mathematical model of hydrogen network integration, the models of different pu-rification processes are unified in this paper, including mass balance and the expressions for hydrogen recovery and impurity removal ratios, which are given for all the purification units in refineries. Based on the proposed unified model, a superstructure of hydrogen networks with purification processes is constructed.

  19. Modelers and policymakers : improving the relationships.

    Energy Technology Data Exchange (ETDEWEB)

    Karas, Thomas H.

    2004-06-01

    On April 22 and 23, 2004, a diverse group of 14 policymakers, modelers, analysts, and scholars met with some 22 members of the Sandia National Laboratories staff to explores ways in which the relationships between modelers and policymakers in the energy and environment fields (with an emphasis on energy) could be made more productive for both. This report is not a transcription of that workshop, but draws very heavily on its proceedings. It first describes the concept of modeling, the varying ways in which models are used to support policymaking, and the institutional context for those uses. It then proposes that the goal of modelers and policymakers should be a relationship of mutual trust, built on a foundation of communication, supported by the twin pillars of policy relevance and technical credibility. The report suggests 20 guidelines to help modelers improve the relationship, followed by 10 guidelines to help policymakers toward the same goal.

  20. Improved transition models for cepstral trajectories

    CSIR Research Space (South Africa)

    Badenhorst, J

    2012-11-01

    Full Text Available We improve on a piece-wise linear model of the trajectories of Mel Frequency Cepstral Coefficients, which are commonly used as features in Automatic Speech Recognition. For this purpose, we have created a very clean single-speaker corpus, which...

  1. School Improvement Model to Foster Student Learning

    Science.gov (United States)

    Rulloda, Rudolfo Barcena

    2011-01-01

    Many classroom teachers are still using the traditional teaching methods. The traditional teaching methods are one-way learning process, where teachers would introduce subject contents such as language arts, English, mathematics, science, and reading separately. However, the school improvement model takes into account that all students have…

  2. Improving Representational Competence with Concrete Models

    Science.gov (United States)

    Stieff, Mike; Scopelitis, Stephanie; Lira, Matthew E.; DeSutter, Dane

    2016-01-01

    Representational competence is a primary contributor to student learning in science, technology, engineering, and math (STEM) disciplines and an optimal target for instruction at all educational levels. We describe the design and implementation of a learning activity that uses concrete models to improve students' representational competence and…

  3. Four-component united-atom model of bitumen

    DEFF Research Database (Denmark)

    Hansen, Jesper Schmidt; Lemarchand, Claire; Nielsen, Erik

    2013-01-01

    We propose a four-component united-atom molecular model of bitumen. The model includes realistic chemical constituents and introduces a coarse graining level that suppresses the highest frequency modes. Molecular dynamics simulations of the model are carried out using graphic-processor-units based...... software in time spans in order of microseconds, which enables the study of slow relaxation processes characterizing bitumen. This paper also presents results of the model dynamics as expressed through the mean-square displacement, the stress autocorrelation function, and rotational relaxation...... the stress autocorrelation function, the shear viscosity and shear modulus are evaluated, showing a viscous response at frequencies below 100 MHz. The model predictions of viscosity and diffusivities are compared to experimental data, giving reasonable agreement. The model shows that the asphaltene, resin...

  4. Improvements in accuracy of dense OPC models

    Science.gov (United States)

    Kallingal, Chidam; Oberschmidt, James; Viswanathan, Ramya; Abdo, Amr; Park, OSeo

    2008-10-01

    Performing model-based optical proximity correction (MBOPC) on layouts has become an integral part of patterning advanced integrated circuits. Earlier technologies used sparse OPC, the run times of which explode when the density of layouts increases. With the move to 45 nm technology node, this increase in run time has resulted in a shift to dense simulation OPC, which is pixel-based. The dense approach becomes more efficient at 45nm technology node and beyond. New OPC model forms can be used with the dense simulation OPC engine, providing the greater accuracy required by smaller technology nodes. Parameters in the optical model have to be optimized to achieve the required accuracy. Dense OPC uses a resist model with a different set of parameters than sparse OPC. The default search ranges used in the optimization of these resist parameters do not always result in the best accuracy. However, it is possible to improve the accuracy of the resist models by understanding the restrictions placed on the search ranges of the physical parameters during optimization. This paper will present results showing the correlation between accuracy of the models and some of these optical and resist parameters. The results will show that better optimization can improve the model fitness of features in both the calibration and verification set.

  5. HEMETβ: improvement of hepatocyte metabolism mathematical model.

    Science.gov (United States)

    Orsi, G; De Maria, C; Guzzardi, M; Vozzi, F; Vozzi, G

    2011-10-01

    This article describes hepatocyte metabolism mathematical model (HEMETβ), which is an improved version of HEMET, an effective and versatile virtual cell model based on hepatic cell metabolism. HEMET is based on a set of non-linear differential equations, implemented in Simulink®, which describes the biochemical reactions and energetic cell state, and completely mimics the principal metabolic pathways in hepatic cells. The cell energy function and modular structure are the core of this model. HEMETβ as HEMET model describes hepatic cellular metabolism in standard conditions (cell culture in a plastic multi-well placed in an incubator at 37° C with 5% of CO2) and with excess substrates concentration. The main improvements in HEMETβ are the introductions of Michaelis-Menten models for reversible reactions and enzymatic inhibition. In addition, we eliminated hard non-linearities and modelled cell proliferation and every single aminoacid degradation pathway. All these innovations, combined with a user-friendly aspect, allow researchers to create new cell types and validate new experimental protocols just varying 'peripheral' pathways or model inputs.

  6. Parametric time delay modeling for floating point units

    Science.gov (United States)

    Fahmy, Hossam A. H.; Liddicoat, Albert A.; Flynn, Michael J.

    2002-12-01

    A parametric time delay model to compare floating point unit implementations is proposed. This model is used to compare a previously proposed floating point adder using a redundant number representation with other high-performance implementations. The operand width, the fan-in of the logic gates and the radix of the redundant format are used as parameters to the model. The comparison is done over a range of operand widths, fan-in and radices to show the merits of each implementation.

  7. Simple improvements to classical bubble nucleation models

    Science.gov (United States)

    Tanaka, Kyoko K.; Tanaka, Hidekazu; Angélil, Raymond; Diemand, Jürg

    2015-08-01

    We revisit classical nucleation theory (CNT) for the homogeneous bubble nucleation rate and improve the classical formula using a correct prefactor in the nucleation rate. Most of the previous theoretical studies have used the constant prefactor determined by the bubble growth due to the evaporation process from the bubble surface. However, the growth of bubbles is also regulated by the thermal conduction, the viscosity, and the inertia of liquid motion. These effects can decrease the prefactor significantly, especially when the liquid pressure is much smaller than the equilibrium one. The deviation in the nucleation rate between the improved formula and the CNT can be as large as several orders of magnitude. Our improved, accurate prefactor and recent advances in molecular dynamics simulations and laboratory experiments for argon bubble nucleation enable us to precisely constrain the free energy barrier for bubble nucleation. Assuming the correction to the CNT free energy is of the functional form suggested by Tolman, the precise evaluations of the free energy barriers suggest the Tolman length is ≃0.3 σ independently of the temperature for argon bubble nucleation, where σ is the unit length of the Lennard-Jones potential. With this Tolman correction and our prefactor one gets accurate bubble nucleation rate predictions in the parameter range probed by current experiments and molecular dynamics simulations.

  8. Forecasting Models for Hydropower Unit Stability Using LS-SVM

    Directory of Open Access Journals (Sweden)

    Liangliang Qiao

    2015-01-01

    Full Text Available This paper discusses a least square support vector machine (LS-SVM approach for forecasting stability parameters of Francis turbine unit. To achieve training and testing data for the models, four field tests were presented, especially for the vibration in Y-direction of lower generator bearing (LGB and pressure in draft tube (DT. A heuristic method such as a neural network using Backpropagation (NNBP is introduced as a comparison model to examine the feasibility of forecasting performance. In the experimental results, LS-SVM showed superior forecasting accuracies and performances to the NNBP, which is of significant importance to better monitor the unit safety and potential faults diagnosis.

  9. A Stochastic Unit Commitment Model for a Local CHP Plant

    DEFF Research Database (Denmark)

    Ravn, Hans V.; Riisom, Jannik; Schaumburg-Müller, Camilla

    2005-01-01

    Local CHP development in Denmark has during the 90’s been characterised by large growth primarily due to government subsidies in the form of feed-in tariffs. In line with the liberalisation process in the EU, Danish local CHPs of a certain size must operate on market terms from 2005. This paper...... presents a stochastic unit commitment model for a single local CHP plant (consisting of CHP unit, boiler, and heat storage facility) which takes into account varying spot prices. Further, additional technology is implemented in the model in the form of an immersion heater. Simulations are conducted using...

  10. Point process models for household distributions within small areal units

    Directory of Open Access Journals (Sweden)

    Zack W. Almquist

    2012-06-01

    Full Text Available Spatio-demographic data sets are increasingly available worldwide, permitting ever more realistic modeling and analysis of social processes ranging from mobility to disease trans- mission. The information provided by these data sets is typically aggregated by areal unit, for reasons of both privacy and administrative cost. Unfortunately, such aggregation does not permit fine-grained assessment of geography at the level of individual households. In this paper, we propose to partially address this problem via the development of point pro- cess models that can be used to effectively simulate the location of individual households within small areal units.

  11. Improved testing inference in mixed linear models

    CERN Document Server

    Melo, Tatiane F N; Cribari-Neto, Francisco; 10.1016/j.csda.2008.12.007

    2011-01-01

    Mixed linear models are commonly used in repeated measures studies. They account for the dependence amongst observations obtained from the same experimental unit. Oftentimes, the number of observations is small, and it is thus important to use inference strategies that incorporate small sample corrections. In this paper, we develop modified versions of the likelihood ratio test for fixed effects inference in mixed linear models. In particular, we derive a Bartlett correction to such a test and also to a test obtained from a modified profile likelihood function. Our results generalize those in Zucker et al. (Journal of the Royal Statistical Society B, 2000, 62, 827-838) by allowing the parameter of interest to be vector-valued. Additionally, our Bartlett corrections allow for random effects nonlinear covariance matrix structure. We report numerical evidence which shows that the proposed tests display superior finite sample behavior relative to the standard likelihood ratio test. An application is also presente...

  12. Improvements in continuum modeling for biomolecular systems

    Science.gov (United States)

    Yu, Qiao; Ben-Zhuo, Lu

    2016-01-01

    Modeling of biomolecular systems plays an essential role in understanding biological processes, such as ionic flow across channels, protein modification or interaction, and cell signaling. The continuum model described by the Poisson- Boltzmann (PB)/Poisson-Nernst-Planck (PNP) equations has made great contributions towards simulation of these processes. However, the model has shortcomings in its commonly used form and cannot capture (or cannot accurately capture) some important physical properties of the biological systems. Considerable efforts have been made to improve the continuum model to account for discrete particle interactions and to make progress in numerical methods to provide accurate and efficient simulations. This review will summarize recent main improvements in continuum modeling for biomolecular systems, with focus on the size-modified models, the coupling of the classical density functional theory and the PNP equations, the coupling of polar and nonpolar interactions, and numerical progress. Project supported by the National Natural Science Foundation of China (Grant No. 91230106) and the Chinese Academy of Sciences Program for Cross & Cooperative Team of the Science & Technology Innovation.

  13. First Step for Improving Phototherapy Quality: Patient Impressions and Feedback Regarding the Phototherapy Unit

    Directory of Open Access Journals (Sweden)

    Ekin Şavk

    2010-03-01

    Full Text Available Objective: We aimed to learn about patients’ feelings and thoughts regarding phototherapy/photochemotherapy. Methods: Patients treated at our phototherapy unit between 2000-2006 were asked to fill out a questionnaire including 20 questions. Fifty-two of 78 patients contacted answered it.Results: Twenty-six were women and 26 were men, aged between 5 and 76 (mean age 42.1±15.9. Majority of patients had been treated for psoriasis (55.8% and vitiligo (26.9%. Most commonly used modalities were narrow band UVB (65%, local PUVA (23% and PUVA (6%. Majority of patients (73% reported that they “always” experienced a favorable atmosphere and had a fair reception in the phototherapy unit. The unit was described as “congested”, “crowded”, but also a place which was found to be “promising improvement of skin disease”. Most frequently mentioned difficulties of phototherapy were trips to the unit, use of photosensitizing medication and the relatively high cost of treatment. 76%stated that they would prefer phototherapy rather than other treatment alternatives. The attending physician of the phototherapy unit was found to be the factor most in need of improvement. Conclusion: Although unfavorable physical conditions of the phototherapy unit exist, the first step in improving treatment quality should be geared towards the more human component of treatment, namely the physician patient interaction.

  14. An unit commitment model for hydrothermal systems; Um modelo de unit commitment para sistemas hidrotermicos

    Energy Technology Data Exchange (ETDEWEB)

    Franca, Thiago de Paula; Luciano, Edson Jose Rezende; Nepomuceno, Leonardo [Universidade Estadual Paulista (UNESP), Bauru, SP (Brazil). Dept. de Engenharia Eletrica], Emails: ra611191@feb.unesp.br, edson.joserl@uol.com.br, leo@feb.unesp.br

    2009-07-01

    A model of Unit Commitment to hydrothermal systems that includes the costs of start/stop of generators is proposed. These costs has been neglected in a good part of the programming models for operation of hydrothermal systems (pre-dispatch). The impact of the representation of costs in total production costs is evaluated. The proposed model is solved by a hybrid methodology, which involves the use of genetic algorithms (to solve the entire part of the problem) and sequential quadratic programming methods. This methodology is applied to the solution of an IEEE test system. The results emphasize the importance of representation of the start/stop in the generation schedule.

  15. Improving Localization Accuracy: Successive Measurements Error Modeling

    Directory of Open Access Journals (Sweden)

    Najah Abu Ali

    2015-07-01

    Full Text Available Vehicle self-localization is an essential requirement for many of the safety applications envisioned for vehicular networks. The mathematical models used in current vehicular localization schemes focus on modeling the localization error itself, and overlook the potential correlation between successive localization measurement errors. In this paper, we first investigate the existence of correlation between successive positioning measurements, and then incorporate this correlation into the modeling positioning error. We use the Yule Walker equations to determine the degree of correlation between a vehicle’s future position and its past positions, and then propose a -order Gauss–Markov model to predict the future position of a vehicle from its past  positions. We investigate the existence of correlation for two datasets representing the mobility traces of two vehicles over a period of time. We prove the existence of correlation between successive measurements in the two datasets, and show that the time correlation between measurements can have a value up to four minutes. Through simulations, we validate the robustness of our model and show that it is possible to use the first-order Gauss–Markov model, which has the least complexity, and still maintain an accurate estimation of a vehicle’s future location over time using only its current position. Our model can assist in providing better modeling of positioning errors and can be used as a prediction tool to improve the performance of classical localization algorithms such as the Kalman filter.

  16. A improved Network Security Situation Awareness Model

    Directory of Open Access Journals (Sweden)

    Li Fangwei

    2015-08-01

    Full Text Available In order to reflect the situation of network security assessment performance fully and accurately, a new network security situation awareness model based on information fusion was proposed. Network security situation is the result of fusion three aspects evaluation. In terms of attack, to improve the accuracy of evaluation, a situation assessment method of DDoS attack based on the information of data packet was proposed. In terms of vulnerability, a improved Common Vulnerability Scoring System (CVSS was raised and maked the assessment more comprehensive. In terms of node weights, the method of calculating the combined weights and optimizing the result by Sequence Quadratic Program (SQP algorithm which reduced the uncertainty of fusion was raised. To verify the validity and necessity of the method, a testing platform was built and used to test through evaluating 2000 DAPRA data sets. Experiments show that the method can improve the accuracy of evaluation results.

  17. Divergent projections of future land use in the United States arising from different models and scenarios

    Science.gov (United States)

    Sohl, Terry L.; Wimberly, Michael; Radeloff, Volker C.; Theobald, David M.; Sleeter, Benjamin M.

    2016-01-01

    is a need for improvement in LULC theory and modeling capabilities to improve acceptance and use of regional- to national-scale LULC projections for the United States and elsewhere.

  18. Improved world-based language model

    Institute of Scientific and Technical Information of China (English)

    CHEN Yong(陈勇); CHAN Kwok-ping

    2004-01-01

    In order to construct a good language model used in the postprocessing phase of a recognition system.A smoothing technique must be used to solve the data sparseness problem. In the past, many smoothing techniques have been proposed. Among them, Katz' s smoothing technique is well known. However, we found that a weakness with the Katz' s smoothing technique. We improved this approach by incorporating one kind of special Chinese language information and Chinese word class information into the language model. We tested the new smoothing technique with a Chinese character recognition system. The experimental result showed that a better performance can be achieved.

  19. Improving productivity and welfare among workers of small and household textile and garment units in India

    Directory of Open Access Journals (Sweden)

    Sanjay RODE

    2009-06-01

    Full Text Available Global Production System has changed remarkably over the period of time. In order to cope up with the change in the nature and type of production, the small and household garment and textile units are employing the younger and skilled labor force. The workers in these units are employed on the contract, causal and temporary basis. They are not given the different benefits as applicable to the large scale unit workers. Such workers are employed more hours and weekly holidays are not given to them. The small and household units are simply maximizing their interest and profit. Such capitalist nature of productive activities makes the labor worse. They are given less wages and classified as unskilled workers. Workers are not given proper training and security of work by these units. Their access to productive assets and standard of living is low as compare to the large unit’s workers. In order to improve the workers conditions, minimum wage should be given to all workers in small and household units. Such units must maintain their annual records of transactions. Small and household units must send their workers for compulsory training. Work place environment, minimum hours of work are required to regulate in these sectors. Immediate steps will have positive impact on workers earning and standard of living. It will help for further productivity enhancement.

  20. Improving data transfer for model coupling

    Science.gov (United States)

    Zhang, C.; Liu, L.; Yang, G.; Li, R.; Wang, B.

    2015-10-01

    Data transfer, which means transferring data fields between two component models or rearranging data fields among processes of the same component model, is a fundamental operation of a coupler. Most of state-of-the-art coupler versions currently use an implementation based on the point-to-point (P2P) communication of the Message Passing Interface (MPI) (call such an implementation "P2P implementation" for short). In this paper, we reveal the drawbacks of the P2P implementation, including low communication bandwidth due to small message size, variable and big number of MPI messages, and jams during communication. To overcome these drawbacks, we propose a butterfly implementation for data transfer. Although the butterfly implementation can outperform the P2P implementation in many cases, it degrades the performance in some cases because the total message size transferred by the butterfly implementation is larger than that by the P2P implementation. To make the data transfer completely improved, we design and implement an adaptive data transfer library that combines the advantages of both butterfly implementation and P2P implementation. Performance evaluation shows that the adaptive data transfer library significantly improves the performance of data transfer in most cases and does not decrease the performance in any cases. Now the adaptive data transfer library is open to the public and has been imported into a coupler version C-Coupler1 for performance improvement of data transfer. We believe that it can also improve other coupler versions.

  1. Improved MEGAN predictions of biogenic isoprene in the contiguous United States

    Science.gov (United States)

    Wang, Peng; Schade, Gunnar; Estes, Mark; Ying, Qi

    2017-01-01

    Isoprene emitted from biogenic sources significantly contributes to ozone and secondary organic aerosol formation in the troposphere. The Model of Emissions of Gases and Aerosols from Nature (MEGAN) has been widely used to estimate isoprene emissions from local to global scales. However, previous studies have shown that MEGAN significantly over-predicts isoprene emissions in the contiguous United States (US). In this study, ambient isoprene concentrations in the US were simulated by the Community Multiscale Air Quality (CMAQ) model (v5.0.1) using biogenic emissions estimated by MEGAN v2.10 with several different gridded isoprene emission factor (EF) fields. Best isoprene predictions were obtained with the EF field based on the Biogenic Emissions Landcover Database v4 (BELD4) from US EPA for its Biogenic Emission Inventory System (BEIS) model v3.61 (MEGAN-BEIS361). A seven-month simulation (April to October 2011) of isoprene emissions with MEGAN-BEIS361 and ambient concentrations using CMAQ shows that observed spatial and temporal variations (both diurnal and seasonal) of isoprene concentrations can be well predicted at most non-urban monitors using isoprene emission estimation from the MEGAN-BEIS361 without significant biases. The predicted monthly average vertical column density of formaldehyde (HCHO), a reactive volatile organic compound with significant contributions from isoprene oxidation, generally agree with the spatial distribution of HCHO column density derived using satellite data collected by the Ozone Monitoring Instrument (OMI), although summer month vertical column densities in the southeast US were overestimated, which suggests that isoprene emission might still be overestimated in that region. The agreement between observation and prediction may be further improved if more accurate PAR values, such as those derived from satellite-based observations, were used in modeling the biogenic emissions.

  2. Mathematical model of layered metallurgical furnaces and units

    Science.gov (United States)

    Shvydkiy, V. S.; Spirin, N. A.; Lavrov, V. V.

    2016-09-01

    The basic approaches to mathematical modeling of the layered steel furnaces and units are considered. It is noted that the particular importance have the knowledge about the mechanisms and physical nature of processes of the charge column movement and the gas flow in the moving layer, as well as regularities of development of heat- and mass-transfer in them. The statement and mathematical description of the problem solution targeting the potential gas flow in the layered unit of an arbitrary profile are presented. On the basis of the proposed mathematical model the software implementation of information-modeling system of BF gas dynamics is carried out. The results of the computer modeling of BF non-isothermal gas dynamics with regard to the cohesion zone, gas dynamics of the combustion zone and calculation of hot-blast stoves are provided

  3. Improving land surface models with FLUXNET data

    Directory of Open Access Journals (Sweden)

    Y. -P. Wang

    2009-07-01

    Full Text Available There is a growing consensus that land surface models (LSMs that simulate terrestrial biosphere exchanges of matter and energy must be better constrained with data to quantify and address their uncertainties. FLUXNET, an international network of sites that measure the land surface exchanges of carbon, water and energy using the eddy covariance technique, is a prime source of data for model improvement. Here we outline a multi-stage process for "fusing" (i.e. linking LSMs with FLUXNET data to generate better models with quantifiable uncertainty. First, we describe FLUXNET data availability, and its random and systematic biases. We then introduce methods for assessing LSM model runs against FLUXNET observations in temporal and spatial domains. These assessments are a prelude to more formal model-data fusion (MDF. MDF links model to data, based on error weightings. In theory, MDF produces optimal analyses of the modelled system, but there are practical problems. We first discuss how to set model errors and initial conditions. In both cases incorrect assumptions will affect the outcome of the MDF. We then review the problem of equifinality, whereby multiple combinations of parameters can produce similar model output. Fusing multiple independent and orthogonal data provides a means to limit equifinality. We then show how parameter probability density functions (PDFs from MDF can be used to interpret model validity, and to propagate errors into model outputs. Posterior parameter distributions are a useful way to assess the success of MDF, combined with a determination of whether model residuals are Gaussian. If the MDF scheme provides evidence for temporal variation in parameters, then that is indicative of a critical missing dynamic process. A comparison of parameter PDFs generated with the same model from multiple FLUXNET sites can provide insights into the concept and validity of plant functional types (PFT – we would expect similar parameter

  4. Improving land surface models with FLUXNET data

    Directory of Open Access Journals (Sweden)

    M. Williams

    2009-03-01

    Full Text Available There is a growing consensus that land surface models (LSMs that simulate terrestrial biosphere exchanges of matter and energy must be better constrained with data to quantify and address their uncertainties. FLUXNET, an international network of sites that measure the land surface exchanges of carbon, water and energy using the eddy covariance technique, is a prime source of data for model improvement. Here we outline a multi-stage process for fusing LSMs with FLUXNET data to generate better models with quantifiable uncertainty. First, we describe FLUXNET data availability, and its random and systematic biases. We then introduce methods for assessing LSM model runs against FLUXNET observations in temporal and spatial domains. These assessments are a prelude to more formal model-data fusion (MDF. MDF links model to data, based on error weightings. In theory, MDF produces optimal analyses of the modelled system, but there are practical problems. We first discuss how to set model errors and initial conditions. In both cases incorrect assumptions will affect the outcome of the MDF. We then review the problem of equifinality, whereby multiple combinations of parameters can produce similar model output. Fusing multiple independent data provides a means to limit equifinality. We then show how parameter probability density functions (PDFs from MDF can be used to interpret model process validity, and to propagate errors into model outputs. Posterior parameter distributions are a useful way to assess the success of MDF, combined with a determination of whether model residuals are Gaussian. If the MDF scheme provides evidence for temporal variation in parameters, then that is indicative of a critical missing dynamic process. A comparison of parameter PDFs generated with the same model from multiple FLUXNET sites can provide insights into the concept and validity of plant functional types (PFT – we would expect similar parameter estimates among sites

  5. COST ESTIMATION MODELS FOR DRINKING WATER TREATMENT UNIT PROCESSES

    Science.gov (United States)

    Cost models for unit processes typically utilized in a conventional water treatment plant and in package treatment plant technology are compiled in this paper. The cost curves are represented as a function of specified design parameters and are categorized into four major catego...

  6. Modeled Top of the Overburden Geomodel Unit (obtop_f)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The obtop_f grid represents the modeled elevation of the top of the Overburden geomodel unit at a 500 foot resolution. It is one grid of a geomodel that consists of...

  7. Social Innovation using the Best Practice Unit model

    NARCIS (Netherlands)

    Wilken, Jean Pierre

    2013-01-01

    The model of the Best Practice Unit (BPU) is a specific form of practice based research. It is a variation of the Community of Practice (CoP) as developed by Wenger, McDermott and Snyder (2002) with the specific aim to innovate a professional practice by combining learning, development and research.

  8. Model United Nations and Deep Learning: Theoretical and Professional Learning

    Science.gov (United States)

    Engel, Susan; Pallas, Josh; Lambert, Sarah

    2017-01-01

    This article demonstrates that the purposeful subject design, incorporating a Model United Nations (MUN), facilitated deep learning and professional skills attainment in the field of International Relations. Deep learning was promoted in subject design by linking learning objectives to Anderson and Krathwohl's (2001) four levels of knowledge or…

  9. Modeling the effect of short stay units on patient admissions

    NARCIS (Netherlands)

    Zonderland, Maartje E.; Boucherie, Richard J.; Carter, Michael W.; Stanford, David A.

    2015-01-01

    Two purposes of Short Stay Units (SSU) are the reduction of Emergency Department crowding and increased urgent patient admissions. At an SSU urgent patients are temporarily held until they either can go home or transferred to an inpatient ward. In this paper we present an overflow model to evaluate

  10. Using data assimilation for systematic model improvement

    Science.gov (United States)

    Lang, Matthew S.; van Leeuwen, Peter Jan; Browne, Phil

    2016-04-01

    In Numerical Weather Prediction parameterisations are used to simulate missing physics in the model. These can be due to a lack of scientific understanding or a lack of computing power available to address all the known physical processes. Parameterisations are sources of large uncertainty in a model as parameter values used in these parameterisations cannot be measured directly and hence are often not well known, and the parameterisations themselves are approximations of the processes present in the true atmosphere. Whilst there are many efficient and effective methods for combined state/parameter estimation in data assimilation, such as state augmentation, these are not effective at estimating the structure of parameterisations. A new method of parameterisation estimation is proposed that uses sequential data assimilation methods to estimate errors in the numerical models at each space-time point for each model equation. These errors are then fitted to predetermined functional forms of missing physics or parameterisations, that are based upon prior information. The method picks out the functional form, or that combination of functional forms, that bests fits the error structure. The prior information typically takes the form of expert knowledge. We applied the method to a one-dimensional advection model with additive model error, and it is shown that the method can accurately estimate parameterisations, with consistent error estimates. It is also demonstrated that state augmentation is not successful. The results indicate that this new method is a powerful tool in systematic model improvement.

  11. An improved damaging model for structured clays

    Institute of Scientific and Technical Information of China (English)

    姜岩; 雷华阳; 郑刚; 徐舜华

    2008-01-01

    An improved damaging model formulated within the framework of bounding surface for structured clays was proposed. The model was intended to describe the effects of structure degradation due to geotechnical loading. The predictive capability of the model was compared with those of triaxial compression test on Tianjin soft clays. The results show that, by incorporating a new damage function into the model, the reduction of elastic bulk and shear modulus with elastic deformations and the reduction of plastic bulk modulus and shear modulus with plastic deformations are able to be appreciable. Before the axial strain reaches 15%, the axial strain computed from the model is smaller than that from the test under the drained condition. Under the undrained condition, after the axial strain reaches 1%, the axial strain increases quickly because of the complete loss of structure and stiffness; and the result computed from the model is nearly equal to that from the model without the incorporation of the damage function due to less plastic strain under undrained condition test.

  12. Application of Improved Radiation Modeling to General Circulation Models

    Energy Technology Data Exchange (ETDEWEB)

    Michael J Iacono

    2011-04-07

    This research has accomplished its primary objectives of developing accurate and efficient radiation codes, validating them with measurements and higher resolution models, and providing these advancements to the global modeling community to enhance the treatment of cloud and radiative processes in weather and climate prediction models. A critical component of this research has been the development of the longwave and shortwave broadband radiative transfer code for general circulation model (GCM) applications, RRTMG, which is based on the single-column reference code, RRTM, also developed at AER. RRTMG is a rigorously tested radiation model that retains a considerable level of accuracy relative to higher resolution models and measurements despite the performance enhancements that have made it possible to apply this radiation code successfully to global dynamical models. This model includes the radiative effects of all significant atmospheric gases, and it treats the absorption and scattering from liquid and ice clouds and aerosols. RRTMG also includes a statistical technique for representing small-scale cloud variability, such as cloud fraction and the vertical overlap of clouds, which has been shown to improve cloud radiative forcing in global models. This development approach has provided a direct link from observations to the enhanced radiative transfer provided by RRTMG for application to GCMs. Recent comparison of existing climate model radiation codes with high resolution models has documented the improved radiative forcing capability provided by RRTMG, especially at the surface, relative to other GCM radiation models. Due to its high accuracy, its connection to observations, and its computational efficiency, RRTMG has been implemented operationally in many national and international dynamical models to provide validated radiative transfer for improving weather forecasts and enhancing the prediction of global climate change.

  13. An Improved Functional Hierarchy Frame Model for System Maintainability

    Institute of Scientific and Technical Information of China (English)

    CHEN Dai-Lin; CHEN Dong-lin; WANG Ru-gen; ZHU Xue-ping

    2003-01-01

    By means of analogy, this paper analyses the present functional hierarchy frame model for system maintainability, and presents an improved model. Practical application indicates that the improved model is visualized, more convenient and perfected over the pervious models.

  14. Recent improvement and projected worsening of weather in the United States.

    Science.gov (United States)

    Egan, Patrick J; Mullin, Megan

    2016-04-21

    As climate change unfolds, weather systems in the United States have been shifting in patterns that vary across regions and seasons. Climate science research typically assesses these changes by examining individual weather indicators, such as temperature or precipitation, in isolation, and averaging their values across the spatial surface. As a result, little is known about population exposure to changes in weather and how people experience and evaluate these changes considered together. Here we show that in the United States from 1974 to 2013, the weather conditions experienced by the vast majority of the population improved. Using previous research on how weather affects local population growth to develop an index of people’s weather preferences, we find that 80% of Americans live in counties that are experiencing more pleasant weather than they did four decades ago. Virtually all Americans are now experiencing the much milder winters that they typically prefer, and these mild winters have not been offset by markedly more uncomfortable summers or other negative changes. Climate change models predict that this trend is temporary, however, because US summers will eventually warm more than winters. Under a scenario in which greenhouse gas emissions proceed at an unabated rate (Representative Concentration Pathway 8.5), we estimate that 88% of the US public will experience weather at the end of the century that is less preferable than weather in the recent past. Our results have implications for the public’s understanding of the climate change problem, which is shaped in part by experiences with local weather. Whereas weather patterns in recent decades have served as a poor source of motivation for Americans to demand a policy response to climate change, public concern may rise once people’s everyday experiences of climate change effects start to become less pleasant.

  15. Recent improvement and projected worsening of weather in the United States

    Science.gov (United States)

    Egan, Patrick J.; Mullin, Megan

    2016-04-01

    As climate change unfolds, weather systems in the United States have been shifting in patterns that vary across regions and seasons. Climate science research typically assesses these changes by examining individual weather indicators, such as temperature or precipitation, in isolation, and averaging their values across the spatial surface. As a result, little is known about population exposure to changes in weather and how people experience and evaluate these changes considered together. Here we show that in the United States from 1974 to 2013, the weather conditions experienced by the vast majority of the population improved. Using previous research on how weather affects local population growth to develop an index of people’s weather preferences, we find that 80% of Americans live in counties that are experiencing more pleasant weather than they did four decades ago. Virtually all Americans are now experiencing the much milder winters that they typically prefer, and these mild winters have not been offset by markedly more uncomfortable summers or other negative changes. Climate change models predict that this trend is temporary, however, because US summers will eventually warm more than winters. Under a scenario in which greenhouse gas emissions proceed at an unabated rate (Representative Concentration Pathway 8.5), we estimate that 88% of the US public will experience weather at the end of the century that is less preferable than weather in the recent past. Our results have implications for the public’s understanding of the climate change problem, which is shaped in part by experiences with local weather. Whereas weather patterns in recent decades have served as a poor source of motivation for Americans to demand a policy response to climate change, public concern may rise once people’s everyday experiences of climate change effects start to become less pleasant.

  16. Improving milling and production of a dust-producing unit equipped with hammer mills

    Energy Technology Data Exchange (ETDEWEB)

    Vorotnikov, Ye.G.; Nikiforov, A.A.; Rasputin, O.V.; Sukhunin, V.I.

    1982-01-01

    This paper presents generalized experience for deriving coarse ground coal dust in hammer mills by providing comparison data on improving efficiency of operation of the unit when switching to a coarser-type grind of the fuel. Need to have more precise formulas to calculate grinding potential of hammer mills when using a coarser grind is shown.

  17. Improving the efficiency of a chemotherapy day unit: Applying a business approach to oncology

    NARCIS (Netherlands)

    van Lent, W.A.M.; Goedbloed, N.; van Harten, Willem H.

    2009-01-01

    Aim: To improve the efficiency of a hospital-based chemotherapy day unit (CDU). - Methods: The CDU was benchmarked with two other CDUs to identify their attainable performance levels for efficiency, and causes for differences. Furthermore, an in-depth analysis using a business approach, called lean

  18. Improving the efficiency of a chemotherapy day unit: Applying a business approach to oncology

    NARCIS (Netherlands)

    Lent, van Wineke A.M.; Goedbloed, N.; Harten, van W.H.

    2009-01-01

    Aim: To improve the efficiency of a hospital-based chemotherapy day unit (CDU). - Methods: The CDU was benchmarked with two other CDUs to identify their attainable performance levels for efficiency, and causes for differences. Furthermore, an in-depth analysis using a business approach, called lean

  19. A MELCOR model of Fukushima Daiichi Unit 3 accident

    Energy Technology Data Exchange (ETDEWEB)

    Sevón, Tuomo, E-mail: tuomo.sevon@vtt.fi

    2015-04-01

    Highlights: • A MELCOR model of the Fukushima Unit 3 accident was developed. • The MELCOR input file is published as electronic supplementary data with this paper. • Reactor pressure vessel lower head failed about 53 h after the earthquake. • 70% of fuel was discharged from reactor to containment. • 0.95% of cesium inventory was released to the environment. - Abstract: A MELCOR model of the Fukushima Daiichi Unit 3 accident was developed. The model is based on publicly available information, and the MELCOR input file is published as electronic supplementary data with this paper. According to the calculation, the reactor pressure vessel lower head failed about 53 h after the earthquake. At the end of the calculation, 30% of the fuel was still inside the reactor and 70% had been discharged to the containment. Almost all of the radioactive noble gases and 0.95% of the cesium inventory were released to the environment during the accident.

  20. Improving access to competitive employment for service users in forensic psychiatric units.

    Science.gov (United States)

    Beck, Charlotte; Wernham, Connie

    2014-01-01

    Employment has been proven to be an effective recovery tool and therapeutic intervention for those with severe and enduring mental health conditions. Aside from monetary reward, employment is a means of structuring time and provides a sense of worth and achievement, which enhances self-esteem and confidence. A social identity is developed through employment, encouraging social support and increasing social networks. Securing employment can bring about improved quality of life and positive change in one's social circumstances; therefore it can reduce symptoms associated with mental illness and potentially prevent re-offending, as the individual develops a sense of independence, self-efficacy, and value. Barriers to employment exist for forensic mental health service users and therefore it is imperative that employment needs are addressed at the earliest possible stage in recovery. An evaluation of employment activities across two forensic mental health units revealed a lack of appropriate employment opportunities for service users, and those roles available were not implemented in line with recommended best practice. In response to this issue several enterprises were established to offer opportunities for service users to engage in meaningful employment and develop skills that a future employer would value. Each enterprise responds to a business need within the units to ensure sustainability of services. The enterprises are essentially micro-businesses with social objectives whose surpluses are reinvested for the purpose of increasing opportunities for service users. The enterprises are underpinned by the philosophy of the Individual Placement and Support (IPS) model; empirical evidence suggests that the IPS model is the most effective intervention, based on the 'place then train' philosophy. The model recommends a focus upon rapid job search to achieve competitive employment for those who want to work; opportunities sourced should be consistent with individual

  1. Development of Wolsong Unit 2 Containment Analysis Model

    Energy Technology Data Exchange (ETDEWEB)

    Hoon, Choi [Korea Hydro and Nuclear Power Co., Ltd., Daejeon (Korea, Republic of); Jin, Ko Bong; Chan, Park Young [Hanbat National Univ., Daejeon (Korea, Republic of)

    2014-05-15

    To be prepared for the full scope safety analysis of Wolsong unit 2 with modified fuel, input decks for the various objectives, which can be read by GOTHIC 7.2b(QA), are developed and tested for the steady state simulation. A detailed nodalization of 39 control volumes and 92 flow paths is constructed to determine the differential pressure across internal walls or hydrogen concentration and distribution inside containment. A lumped model with 15 control volumes and 74 flow paths has also been developed to reduce the computer run time for the assessments in which the analysis results are not sensitive to detailed thermal hydraulic distribution inside containment such as peak pressure, pressure dependent signal and radionuclide release. The input data files provide simplified representations of the geometric layout of the containment building (volumes, dimensions, flow paths, doors, panels, etc.) and the performance characteristics of the various containment subsystems. The parameter values are based on best estimate or design values for that parameter. The analysis values are determined by conservatism depending on the analysis objective and may be different for various analysis objectives. Basic input decks of Wolsong unit 2 were developed for the various analysis purposes with GOTHIC 7.2b(QA). Depend on the analysis objective, two types of models are prepared. Detailed model models each confined room in the containment as a separate node. All of the geometric data are based on the drawings of Wolsong unit 2. Developed containment models are simulating the steady state well to the designated initial condition. These base models will be used for Wolsong unit 2 in case of safety analysis of full scope is needed.

  2. Steps towards improvement of Latvian geoid model

    Science.gov (United States)

    Janpaule, Inese; Balodis, Janis

    2013-04-01

    The high precision geoid model is essential for the normal height determination when the GNSS positioning methods are used. In Latvia for more than 10 years gravimetric geoid model LV'98 is broadely used by surveyors and scientists. The computation of this model was performed using GRAVSOFT software using gravimetric measurements, digitised gravimetric data and satellite altimetry data over Baltic sea, the estimated accuracy of LV'98 geoid model is 6-8cm. (J. Kaminskis, 2010) However, the accuracy of Latvian geoid model should be improved. In order to aacomplish this task, the evaluation of several methods and test computations have been made. KTH method was developed at the Royal Institute of Technology (KTH) in Stockholm. This method utilizes the least-squares modification of the Stokes integral for the biased, unbiased, and optimum stochastic solutions. The modified Bruns-Stokes integral combines the regional terrestrial gravity data with a global geopotential model (GGM) (R. Kiamehr, 2006). DFHRS (Digital Finite-Element Height Reference Surface) method has been developed at the Karlsruhe University of Applied Sciences, Faculty of Geomatics (R. Jäger, 1999). In the DFHRS concept the area is divided into smaller finite elements - meshes. The height reference surface N in each mesh is calculated by a polynomial in term of (x,y) coordinates. Each group of meshes form a patch, which are related to a set of individual parameters, which are introduced by the datum parametrizations. As an input data the European Gravimetric Geoid Model 1997 (EGG97) and 102 GNSS/levelling points were used. In order to improve the Latvian geoid model quality and accuracy the development of mobile digital zenith telescope for determination of vertical deflections with 0.1" expected accuracy is commenced at University of Latvia, Institute of Geodesy and Geoinformation. The project was started in 2010, the goal of it is to design a portable, cheap and robust instrument, using industrially

  3. Improving safety culture on adult medical units through multidisciplinary teamwork and communication interventions: the TOPS Project.

    Science.gov (United States)

    Blegen, M A; Sehgal, N L; Alldredge, B K; Gearhart, S; Auerbach, A A; Wachter, R M

    2010-08-01

    The goal of this project was to improve unit-based safety culture through implementation of a multidisciplinary (pharmacy, nursing, medicine) teamwork and communication intervention. The Agency for Healthcare Research and Quality Hospital Survey on Patient Safety Culture was used to determine the impact of the training with a before-after design. Surveys were returned from 454 healthcare staff before the training and 368 staff 1 year later. Five of eleven safety culture subscales showed significant improvement. Nurses perceived a stronger safety culture than physicians or pharmacists. While it is difficult to isolate the effects of the team training intervention from other events occurring during the year between training and postevaluation, overall the intervention seems to have improved the safety culture on these medical units.

  4. Sri Lanka's Health Unit Program: A Model of "Selective" Primary Health Care

    Directory of Open Access Journals (Sweden)

    Soma Hewa

    2011-12-01

    Full Text Available This paper argues that the health unit program developed in Sri Lanka in the early twentieth century was an earlier model of selective primary health care promoted by the Rockefeller Foundation in the 1980s in opposition to comprehensive primary health care advocated by the Alma-Ata Declaration of the World Health Organization. A key strategy of the health unit program was to identify the most common and serious infectious diseases in each health unit area and control them through improved sanitation, health education, immunization and treatment with the help of local communities. The health unit program was later introduced to other countries in South and Southeast Asia as part of the Rockefeller Foundation's global campaign to promote public health.

  5. Improved modeling techniques for turbomachinery flow fields

    Energy Technology Data Exchange (ETDEWEB)

    Lakshminarayana, B.; Fagan, J.R. Jr.

    1995-12-31

    This program has the objective of developing an improved methodology for modeling turbomachinery flow fields, including the prediction of losses and efficiency. Specifically, the program addresses the treatment of the mixing stress tensor terms attributed to deterministic flow field mechanisms required in steady-state Computational Fluid Dynamic (CFD) models for turbomachinery flow fields. These mixing stress tensors arise due to spatial and temporal fluctuations (in an absolute frame of reference) caused by rotor-stator interaction due to various blade rows and by blade-to-blade variation of flow properties. This will be accomplished in a cooperative program by Penn State University and the Allison Engine Company. These tasks include the acquisition of previously unavailable experimental data in a high-speed turbomachinery environment, the use of advanced techniques to analyze the data, and the development of a methodology to treat the deterministic component of the mixing stress tenor.

  6. Improved modeling techniques for turbomachinery flow fields

    Energy Technology Data Exchange (ETDEWEB)

    Lakshminarayana, B. [Pennsylvania State Univ., University Park, PA (United States); Fagan, J.R. Jr. [Allison Engine Company, Indianapolis, IN (United States)

    1995-10-01

    This program has the objective of developing an improved methodology for modeling turbomachinery flow fields, including the prediction of losses and efficiency. Specifically, the program addresses the treatment of the mixing stress tensor terms attributed to deterministic flow field mechanisms required in steady-state Computational Fluid Dynamic (CFD) models for turbo-machinery flow fields. These mixing stress tensors arise due to spatial and temporal fluctuations (in an absolute frame of reference) caused by rotor-stator interaction due to various blade rows and by blade-to-blade variation of flow properties. These tasks include the acquisition of previously unavailable experimental data in a high-speed turbomachinery environment, the use of advanced techniques to analyze the data, and the development of a methodology to treat the deterministic component of the mixing stress tensor. Penn State will lead the effort to make direct measurements of the momentum and thermal mixing stress tensors in high-speed multistage compressor flow field in the turbomachinery laboratory at Penn State. They will also process the data by both conventional and conditional spectrum analysis to derive momentum and thermal mixing stress tensors due to blade-to-blade periodic and aperiodic components, revolution periodic and aperiodic components arising from various blade rows and non-deterministic (which includes random components) correlations. The modeling results from this program will be publicly available and generally applicable to steady-state Navier-Stokes solvers used for turbomachinery component (compressor or turbine) flow field predictions. These models will lead to improved methodology, including loss and efficiency prediction, for the design of high-efficiency turbomachinery and drastically reduce the time required for the design and development cycle of turbomachinery.

  7. Modeling and design of a combined transverse and axial flow threshing unit for rice harvesters

    Directory of Open Access Journals (Sweden)

    Zhong Tang

    2014-11-01

    Full Text Available The thorough investigation of both grain threshing and grain separating processes is a crucial consideration for effective structural design and variable optimization of the tangential flow threshing cylinder and longitudinal axial flow threshing cylinder composite units (TLFC unit of small and medium-sized (SME combine harvesters. The objective of this paper was to obtain the structural variables of a TLFC unit by theoretical modeling and experimentation on a tangential flow threshing cylinder unit (TFC unit and longitudinal axial flow threshing cylinder unit (LFC unit. Threshing and separation equations for five types of threshing teeth (knife bar, trapezoidal tooth, spike tooth, rasp bar, and rectangular bar, were obtained using probability theory. Results demonstrate that the threshing and separation capacity of the knife bar TFC unit was stronger than the other threshing teeth. The length of the LFC unit was divided into four sections, with helical blades on the first section (0-0.17 m, the spike tooth on the second section (0.17-1.48 m, the trapezoidal tooth on the third section (1.48-2.91 m, and the discharge plate on the fourth section (2.91-3.35 m. Test results showed an un-threshed grain rate of 0.243%, un-separated grain rate of 0.346%, and broken grain rate of 0.184%. Evidenced by these results, threshing and separation performance is significantly improved by analyzing and optimizing the structure and variables of a TLFC unit. The results of this research can be used to successfully design the TLFC unit of small and medium-sized (SME combine harvesters.

  8. Improved predictive mapping of indoor radon concentrations using ensemble regression trees based on automatic clustering of geological units.

    Science.gov (United States)

    Kropat, Georg; Bochud, Francois; Jaboyedoff, Michel; Laedermann, Jean-Pascal; Murith, Christophe; Palacios Gruson, Martha; Baechler, Sébastien

    2015-09-01

    According to estimations around 230 people die as a result of radon exposure in Switzerland. This public health concern makes reliable indoor radon prediction and mapping methods necessary in order to improve risk communication to the public. The aim of this study was to develop an automated method to classify lithological units according to their radon characteristics and to develop mapping and predictive tools in order to improve local radon prediction. About 240 000 indoor radon concentration (IRC) measurements in about 150 000 buildings were available for our analysis. The automated classification of lithological units was based on k-medoids clustering via pair-wise Kolmogorov distances between IRC distributions of lithological units. For IRC mapping and prediction we used random forests and Bayesian additive regression trees (BART). The automated classification groups lithological units well in terms of their IRC characteristics. Especially the IRC differences in metamorphic rocks like gneiss are well revealed by this method. The maps produced by random forests soundly represent the regional difference of IRCs in Switzerland and improve the spatial detail compared to existing approaches. We could explain 33% of the variations in IRC data with random forests. Additionally, the influence of a variable evaluated by random forests shows that building characteristics are less important predictors for IRCs than spatial/geological influences. BART could explain 29% of IRC variability and produced maps that indicate the prediction uncertainty. Ensemble regression trees are a powerful tool to model and understand the multidimensional influences on IRCs. Automatic clustering of lithological units complements this method by facilitating the interpretation of radon properties of rock types. This study provides an important element for radon risk communication. Future approaches should consider taking into account further variables like soil gas radon measurements as

  9. Modeling a Sensor to Improve Its Efficacy

    Directory of Open Access Journals (Sweden)

    Nabin K. Malakar

    2013-01-01

    Full Text Available Robots rely on sensors to provide them with information about their surroundings. However, high-quality sensors can be extremely expensive and cost-prohibitive. Thus many robotic systems must make due with lower-quality sensors. Here we demonstrate via a case study how modeling a sensor can improve its efficacy when employed within a Bayesian inferential framework. As a test bed we employ a robotic arm that is designed to autonomously take its own measurements using an inexpensive LEGO light sensor to estimate the position and radius of a white circle on a black field. The light sensor integrates the light arriving from a spatially distributed region within its field of view weighted by its spatial sensitivity function (SSF. We demonstrate that by incorporating an accurate model of the light sensor SSF into the likelihood function of a Bayesian inference engine, an autonomous system can make improved inferences about its surroundings. The method presented here is data based, fairly general, and made with plug-and-play in mind so that it could be implemented in similar problems.

  10. Modeling a Sensor to Improve its Efficacy

    CERN Document Server

    Malakar, N K; Knuth, K H

    2013-01-01

    Robots rely on sensors to provide them with information about their surroundings. However, high-quality sensors can be extremely expensive and cost-prohibitive. Thus many robotic systems must make due with lower-quality sensors. Here we demonstrate via a case study how modeling a sensor can improve its efficacy when employed within a Bayesian inferential framework. As a test bed we employ a robotic arm that is designed to autonomously take its own measurements using an inexpensive LEGO light sensor to estimate the position and radius of a white circle on a black field. The light sensor integrates the light arriving from a spatially distributed region within its field of view weighted by its Spatial Sensitivity Function (SSF). We demonstrate that by incorporating an accurate model of the light sensor SSF into the likelihood function of a Bayesian inference engine, an autonomous system can make improved inferences about its surroundings. The method presented here is data-based, fairly general, and made with plu...

  11. On Internet Topology Modeling and an Improved BA Model

    Directory of Open Access Journals (Sweden)

    Ye XU

    2011-03-01

    Full Text Available Modeling of Internet topology structure is studied in this paper. First, measuring results of Internet topology from CAIDA monitors have been used to produce a complete topology sample. With this sample, research approaches of the frequency-degree power-law, degree-rank power-law and CCDF(d-degree power-law have been studied to outline the network power-law properties. The frequency-degree power-law relationship is found to be with a power exponent of 2.1406. The degree-rank power-law, however, is found to have two phases of power-law relationships with power-exponents of 0.29981 and 0.84639 respectively. Then, we improved the traditional BA model to construct an Internet topology model (Improved BA model, IBA model, and optimized the IBA model in Genetic Algorithm by the power-exponents gained from frequency-degree power and degree-rank power-law analyses in the paper. Generation algorithm for the IBA model was given at last.

  12. An analytically linearized helicopter model with improved modeling accuracy

    Science.gov (United States)

    Jensen, Patrick T.; Curtiss, H. C., Jr.; Mckillip, Robert M., Jr.

    1991-01-01

    An analytically linearized model for helicopter flight response including rotor blade dynamics and dynamic inflow, that was recently developed, was studied with the objective of increasing the understanding, the ease of use, and the accuracy of the model. The mathematical model is described along with a description of the UH-60A Black Hawk helicopter and flight test used to validate the model. To aid in utilization of the model for sensitivity analysis, a new, faster, and more efficient implementation of the model was developed. It is shown that several errors in the mathematical modeling of the system caused a reduction in accuracy. These errors in rotor force resolution, trim force and moment calculation, and rotor inertia terms were corrected along with improvements to the programming style and documentation. Use of a trim input file to drive the model is examined. Trim file errors in blade twist, control input phase angle, coning and lag angles, main and tail rotor pitch, and uniform induced velocity, were corrected. Finally, through direct comparison of the original and corrected model responses to flight test data, the effect of the corrections on overall model output is shown.

  13. Modeling soil water content for vegetation modeling improvement

    Science.gov (United States)

    Cianfrani, Carmen; Buri, Aline; Zingg, Barbara; Vittoz, Pascal; Verrecchia, Eric; Guisan, Antoine

    2016-04-01

    Soil water content (SWC) is known to be important for plants as it affects the physiological processes regulating plant growth. Therefore, SWC controls plant distribution over the Earth surface, ranging from deserts and grassland to rain forests. Unfortunately, only a few data on SWC are available as its measurement is very time consuming and costly and needs specific laboratory tools. The scarcity of SWC measurements in geographic space makes it difficult to model and spatially project SWC over larger areas. In particular, it prevents its inclusion in plant species distribution model (SDMs) as predictor. The aims of this study were, first, to test a new methodology allowing problems of the scarcity of SWC measurements to be overpassed and second, to model and spatially project SWC in order to improve plant SDMs with the inclusion of SWC parameter. The study was developed in four steps. First, SWC was modeled by measuring it at 10 different pressures (expressed in pF and ranging from pF=0 to pF=4.2). The different pF represent different degrees of soil water availability for plants. An ensemble of bivariate models was built to overpass the problem of having only a few SWC measurements (n = 24) but several predictors to include in the model. Soil texture (clay, silt, sand), organic matter (OM), topographic variables (elevation, aspect, convexity), climatic variables (precipitation) and hydrological variables (river distance, NDWI) were used as predictors. Weighted ensemble models were built using only bivariate models with adjusted-R2 > 0.5 for each SWC at different pF. The second step consisted in running plant SDMs including modeled SWC jointly with the conventional topo-climatic variable used for plant SDMs. Third, SDMs were only run using the conventional topo-climatic variables. Finally, comparing the models obtained in the second and third steps allowed assessing the additional predictive power of SWC in plant SDMs. SWC ensemble models remained very good, with

  14. Nonlinear mathematical modeling and sensitivity analysis of hydraulic drive unit

    Science.gov (United States)

    Kong, Xiangdong; Yu, Bin; Quan, Lingxiao; Ba, Kaixian; Wu, Liujie

    2015-09-01

    The previous sensitivity analysis researches are not accurate enough and also have the limited reference value, because those mathematical models are relatively simple and the change of the load and the initial displacement changes of the piston are ignored, even experiment verification is not conducted. Therefore, in view of deficiencies above, a nonlinear mathematical model is established in this paper, including dynamic characteristics of servo valve, nonlinear characteristics of pressure-flow, initial displacement of servo cylinder piston and friction nonlinearity. The transfer function block diagram is built for the hydraulic drive unit closed loop position control, as well as the state equations. Through deriving the time-varying coefficient items matrix and time-varying free items matrix of sensitivity equations respectively, the expression of sensitivity equations based on the nonlinear mathematical model are obtained. According to structure parameters of hydraulic drive unit, working parameters, fluid transmission characteristics and measured friction-velocity curves, the simulation analysis of hydraulic drive unit is completed on the MATLAB/Simulink simulation platform with the displacement step 2 mm, 5 mm and 10 mm, respectively. The simulation results indicate that the developed nonlinear mathematical model is sufficient by comparing the characteristic curves of experimental step response and simulation step response under different constant load. Then, the sensitivity function time-history curves of seventeen parameters are obtained, basing on each state vector time-history curve of step response characteristic. The maximum value of displacement variation percentage and the sum of displacement variation absolute values in the sampling time are both taken as sensitivity indexes. The sensitivity indexes values above are calculated and shown visually in histograms under different working conditions, and change rules are analyzed. Then the sensitivity

  15. Improved Modeling of Structural Joint Damping

    Science.gov (United States)

    1986-12-01

    Case 32 2.3.3.1 Formulation of the Boundary Value Problem 32 2.3.3.2 Unit Singular Solutions . . 32 2.3.3.3 Defining The Auxiliary Problem 35...due to a prescribed unit force at some other point, called the source point or load point. Green’s functions are often the unit singular solutions that...are used in this step. The unit singular solutions must be known in order for the procedure to be used. 5 The second step in the solution

  16. A conceptual model for manufacturing performance improvement

    Directory of Open Access Journals (Sweden)

    M.A. Karim

    2009-07-01

    Full Text Available Purpose: Important performance objectives manufacturers sought can be achieved through adopting the appropriate manufacturing practices. This paper presents a conceptual model proposing relationship between advanced quality practices, perceived manufacturing difficulties and manufacturing performances.Design/methodology/approach: A survey-based approach was adopted to test the hypotheses proposed in this study. The selection of research instruments for inclusion in this survey was based on literature review, the pilot case studies and relevant industrial experience of the author. A sample of 1000 manufacturers across Australia was randomly selected. Quality managers were requested to complete the questionnaire, as the task of dealing with the quality and reliability issues is a quality manager’s major responsibility.Findings: Evidence indicates that product quality and reliability is the main competitive factor for manufacturers. Design and manufacturing capability and on time delivery came second. Price is considered as the least important factor for the Australian manufacturers. Results show that collectively the advanced quality practices proposed in this study neutralize the difficulties manufacturers face and contribute to the most performance objectives of the manufacturers. The companies who have put more emphasize on the advanced quality practices have less problem in manufacturing and better performance in most manufacturing performance indices. The results validate the proposed conceptual model and lend credence to hypothesis that proposed relationship between quality practices, manufacturing difficulties and manufacturing performances.Practical implications: The model shown in this paper provides a simple yet highly effective approach to achieving significant improvements in product quality and manufacturing performance. This study introduces a relationship based ‘proactive’ quality management approach and provides great

  17. Optimization Solutions for Improving the Performance of the Parallel Reduction Algorithm Using Graphics Processing Units

    Directory of Open Access Journals (Sweden)

    Ion LUNGU

    2012-01-01

    Full Text Available In this paper, we research, analyze and develop optimization solutions for the parallel reduction function using graphics processing units (GPUs that implement the Compute Unified Device Architecture (CUDA, a modern and novel approach for improving the software performance of data processing applications and algorithms. Many of these applications and algorithms make use of the reduction function in their computational steps. After having designed the function and its algorithmic steps in CUDA, we have progressively developed and implemented optimization solutions for the reduction function. In order to confirm, test and evaluate the solutions' efficiency, we have developed a custom tailored benchmark suite. We have analyzed the obtained experimental results regarding: the comparison of the execution time and bandwidth when using graphic processing units covering the main CUDA architectures (Tesla GT200, Fermi GF100, Kepler GK104 and a central processing unit; the data type influence; the binary operator's influence.

  18. Power quality improvement of unbalanced power system with distributed generation units

    DEFF Research Database (Denmark)

    Hu, Y.; Chen, Zhe; Excell, P.

    2011-01-01

    This paper presents a power electronic system for improving the power quality of the unbalanced distributed generation units in three-phase four-wire system. In the system, small renewable power generation units, such as small PV generator, small wind turbines may be configured as single phase...... generation units. The random nature of renewable power sources may result in significant unbalance in the power network and affect the power quality. An electronic converter system is proposed to correct the system unbalance and harmonics so as to deal with the power quality problems. The operation...... and control of the converter are described. Simulation results have demonstrated that the system can effectively correct the unbalance and enhance the system power quality....

  19. An improved nuclear mass model: FRDM (2012)

    Science.gov (United States)

    Moller, Peter

    2011-10-01

    We have developed an improved nuclear mass model which we plan to finalize in 2012, so we designate it FRDM(2012). Relative to our previous mass table in 1995 we do a full four-dimensional variation of the shape coordinates EPS2, EPS3, EPS4, and EPS6, we consider axial asymmetric shape degrees of freedom and we vary the density symmetry parameter L. Other additional features are also implemented. With respect to the Audi 2003 data base we now have an accuracy of 0.57 MeV. We have carefully tested the extrapolation properties of the new mass table by adjusting model parameters to limited data sets and testing on extended data sets and find it is highly reliable in new regions of nuclei. We discuss what the remaining differences between model calculations and experiment tell us about the limitations of the currently used effective single-particle potential and possible extensions. DOE No. DE-AC52-06NA25396.

  20. How semantics can improve engineering processes: A case of units of measure and quantities

    NARCIS (Netherlands)

    Rijgersberg, H.; Wigham, M.; Top, J.L.

    2011-01-01

    Science and engineering heavily depend on the ability to share data and models. Ontologies provide such standards. We have found that existing ontologies only define subsets of the necessary concepts and relations. We therefore propose a new ontology, called OM (Ontology of units of Measure and rela

  1. How semantics can improve engineering processes: A case of units of measure and quantities

    NARCIS (Netherlands)

    Rijgersberg, H.; Wigham, M.; Top, J.L.

    2011-01-01

    Science and engineering heavily depend on the ability to share data and models. Ontologies provide such standards. We have found that existing ontologies only define subsets of the necessary concepts and relations. We therefore propose a new ontology, called OM (Ontology of units of Measure and

  2. Improving distributed hydrologic modeling and global land cover data

    Science.gov (United States)

    Broxton, Patrick

    Distributed models of the land surface are essential for global climate models because of the importance of land-atmosphere exchanges of water, energy, momentum. They are also used for high resolution hydrologic simulation because of the need to capture non-linear responses to spatially variable inputs. Continued improvements to these models, and the data which they use, is especially important given ongoing changes in climate and land cover. In hydrologic models, important aspects are sometimes neglected due to the need to simplify the models for operational simulation. For example, operational flash flood models do not consider the role of snow and are often lumped (i.e. do not discretize a watershed into multiple units, and so do not fully consider the effect of intense, localized rainstorms). To address this deficiency, an overland flow model is coupled with a subsurface flow model to create a distributed flash flood forecasting system that can simulate flash floods that involve rain on snow. The model is intended for operational use, and there are extensive algorithms to incorporate high-resolution hydrometeorologic data, to assist in the calibration of the models, and to run the model in real time. A second study, which is designed to improve snow simulation in forested environments, demonstrates the importance of explicitly representing a near canopy environment in snow models, instead of only representing open and canopy covered areas (i.e. with % canopy fraction), as is often done. Our modeling, which uses canopy structure information from Aerial Laser Survey Mapping at 1 meter resolution, suggests that areas near trees have more net snow water input than surrounding areas because of the lack of snow interception, shading by the trees, and the effects of wind. In addition, the greatest discrepancy between our model simulations that explicitly represent forest structure and those that do not occur in areas with more canopy edges. In addition, two value

  3. Integrating palliative care in the surgical and trauma intensive care unit: a report from the Improving Palliative Care in the Intensive Care Unit (IPAL-ICU) Project Advisory Board and the Center to Advance Palliative Care.

    Science.gov (United States)

    Mosenthal, Anne C; Weissman, David E; Curtis, J Randall; Hays, Ross M; Lustbader, Dana R; Mulkerin, Colleen; Puntillo, Kathleen A; Ray, Daniel E; Bassett, Rick; Boss, Renee D; Brasel, Karen J; Campbell, Margaret; Nelson, Judith E

    2012-04-01

    Although successful models for palliative care delivery and quality improvement in the intensive care unit have been described, their applicability in surgical intensive care unit settings has not been fully addressed. We undertook to define specific challenges, strategies, and solutions for integration of palliative care in the surgical intensive care unit. We searched the MEDLINE database from inception to May 2011 for all English language articles using the term "surgical palliative care" or the terms "surgical critical care," "surgical ICU," "surgeon," "trauma" or "transplant," and "palliative care" or "end-of- life care" and hand-searched our personal files for additional articles. Based on review of these articles and the experiences of our interdisciplinary expert Advisory Board, we prepared this report. We critically reviewed the existing literature on delivery of palliative care in the surgical intensive care unit setting focusing on challenges, strategies, models, and interventions to promote effective integration of palliative care for patients receiving surgical critical care and their families. Characteristics of patients with surgical disease and practices, attitudes, and interactions of different disciplines on the surgical critical care team present distinctive issues for intensive care unit palliative care integration and improvement. Physicians, nurses, and other team members in surgery, critical care and palliative care (if available) should be engaged collaboratively to identify challenges and develop strategies. "Consultative," "integrative," and combined models can be used to improve intensive care unit palliative care, although optimal use of trigger criteria for palliative care consultation has not yet been demonstrated. Important components of an improvement effort include attention to efficient work systems and practical tools and to attitudinal factors and "culture" in the unit and institution. Approaches that emphasize delivery of

  4. Experimental studies on improvement of coefficient of performance of window air conditioning unit

    Directory of Open Access Journals (Sweden)

    Tharves Mohideen Sheik Ismail

    2017-01-01

    Full Text Available This paper presents the performance analysis of a window air conditioner unit incorporated with wick less loop heat pipes (WLHP. The WLHP are located on the evaporator side of the air conditioning unit. The working medium for the WLHP is R134a refrigerant gas, an alternate refrigerant. The supply and return humidity of room air, the heat removal rat, and the coefficient of performance of the unit are analyzed for various ambient and room temperatures before and after incorporation of WLHP. The performance curves are drawn by comparing the power consumption and humidity collection rates for various room and ambient temperatures. The results show that coefficient of performance of the unit is improved by 18% to 20% after incorporation of WLHP due to pre-cooling of return air by WLHP, which reduces the thermal load on compressor. Similarly, the energy consumption is reduced by 20% to 25% due to higher thermostat setting and the humidity collection is improved by 35% due to pre-cooling effect of WLHP. The results are tabulated and conclusion drawn is presented based on the performance.

  5. Improvements to type Ia supernova models

    Science.gov (United States)

    Saunders, Clare M.

    Type Ia Supernovae provided the first strong evidence of dark energy and are still an important tool for measuring the accelerated expansion of the universe. However, future improvements will be limited by systematic uncertainties in our use of Type Ia supernovae as standard candles. Using Type Ia supernovae for cosmology relies on our ability to standardize their absolute magnitudes, but this relies on imperfect models of supernova spectra time series. This thesis is focused on using data from the Nearby Supernova Factory both to understand current sources of uncertainty in standardizing Type Ia supernovae and to develop techniques that can be used to limit uncertainty in future analyses. (Abstract shortened by ProQuest.).

  6. Development of a new toxic-unit model for the bioassessment of metals in streams

    Science.gov (United States)

    Schmidt, T.S.; Clements, W.H.; Mitchell, K.A.; Church, S.E.; Wanty, R.B.; Fey, D.L.; Verplanck, P.L.; San, Juan C.A.

    2010-01-01

    Two toxic-unit models that estimate the toxicity of trace-metal mixtures to benthic communities were compared. The chronic criterion accumulation ratio (CCAR), a modification of biotic ligand model (BLM) outputs for use as a toxic-unit model, accounts for the modifying and competitive influences of major cations (Ca2+, Mg2+, Na+, K+, H+), anions (HCO3−, CO32−,SO42−, Cl−, S2−) and dissolved organic carbon (DOC) in determining the free metal ion available for accumulation on the biotic ligand. The cumulative criterion unit (CCU) model, an empirical statistical model of trace-metal toxicity, considers only the ameliorative properties of Ca2+ and Mg2+ (hardness) in determining the toxicity of total dissolved trace metals. Differences in the contribution of a metal (e.g., Cu, Cd, Zn) to toxic units as determined by CCAR or CCU were observed and attributed to how each model incorporates the influences of DOC, pH, and alkalinity. Akaike information criteria demonstrate that CCAR is an improved predictor of benthic macroinvertebrate community metrics as compared with CCU. Piecewise models depict great declines (thresholds) in benthic macroinvertebrate communities at CCAR of 1 or more, while negative changes in benthic communities were detected at a CCAR of less than 1. We observed a 7% reduction in total taxa richness and a 43% decrease in Heptageniid abundance between background (CCAR = 0.1) and the threshold of chronic toxicity on the basis of continuous chronic criteria (CCAR = 1). In this first application of the BLM as a toxic-unit model, we found it superior to CCU.

  7. An improved unit decommitment algorithm for combined heat and power systems

    DEFF Research Database (Denmark)

    Rong, Aiying; Lahdelma, R.; Grunow, Martin

    2009-01-01

    heat and power must be done in coordination. We present an improved unit decommitment (IUD) algorithm that starts with an improved initial solution with less heat surplus so that the relative cost-efficiency of the plants can be determined more accurately. Then the subsequent decommitment procedures...... and a linear relaxation of the ON/OFF states of the plants. We compare the IUD algorithm with realistic test data against a generic unit decommitment (UD) algorithm. Numerical results show that IUD is an overall improvement of UD. The solution quality of IUD is better than that of UD for almost all of tested...... cases. The maximum improvement is 11.3% and the maximum degradation is only 0.04% (only two sub-cases out of 216 sub-cases) with an average improvement of 0.3-0.5%, for different planning horizons. Moreover, IUD is more efficient (1.1-3 times faster on average) than UD. (C) 2008 Elsevier B.V. All rights...

  8. A comprehensive track model for the improvement of corrugation models

    Science.gov (United States)

    Gómez, J.; Vadillo, E. G.; Santamaría, J.

    2006-06-01

    This paper presents a detailed model of the railway track based on wave propagation, suitable for corrugation studies. The model analyses both the vertical and the transverse dynamics of the track. Using the finite strip method (FSM), only the cross-section of the rail must be meshed, and thus it is not necessary to discretise a whole span in 3D. This model takes into account the discrete nature of the support, introducing concepts pertaining to the theory of periodic structures in the formulation. Wave superposition is enriched taking into account the contribution of residual vectors. In this way, the model obtains accurate results when a finite section of railway track is considered. Results for the infinite track have been compared against those presented by Gry and Müller. Aside from the improvements provided by the model presented in this paper, which Gry's and Müller's models do not contemplate, the results arising from the comparison prove satisfactory. Finally, the calculated receptances are compared against the experimental values obtained by the authors, demonstrating a fair degree of adequacy. Finally, these receptances are used within a linear model of corrugation developed by the authors.

  9. Improving Google Flu Trends estimates for the United States through transformation.

    Directory of Open Access Journals (Sweden)

    Leah J Martin

    Full Text Available Google Flu Trends (GFT uses Internet search queries in an effort to provide early warning of increases in influenza-like illness (ILI. In the United States, GFT estimates the percentage of physician visits related to ILI (%ILINet reported by the Centers for Disease Control and Prevention (CDC. However, during the 2012-13 influenza season, GFT overestimated %ILINet by an appreciable amount and estimated the peak in incidence three weeks late. Using data from 2010-14, we investigated the relationship between GFT estimates (%GFT and %ILINet. Based on the relationship between the relative change in %GFT and the relative change in %ILINet, we transformed %GFT estimates to better correspond with %ILINet values. In 2010-13, our transformed %GFT estimates were within ± 10% of %ILINet values for 17 of the 29 weeks that %ILINet was above the seasonal baseline value determined by the CDC; in contrast, the original %GFT estimates were within ± 10% of %ILINet values for only two of these 29 weeks. Relative to the %ILINet peak in 2012-13, the peak in our transformed %GFT estimates was 2% lower and one week later, whereas the peak in the original %GFT estimates was 74% higher and three weeks later. The same transformation improved %GFT estimates using the recalibrated 2013 GFT model in early 2013-14. Our transformed %GFT estimates can be calculated approximately one week before %ILINet values are reported by the CDC and the transformation equation was stable over the time period investigated (2010-13. We anticipate our results will facilitate future use of GFT.

  10. The Best Practice Unit: a model for learning, research and development

    Directory of Open Access Journals (Sweden)

    Jean Pierre Wilken

    2013-06-01

    Full Text Available The Best Practice Unit: a model for learning, research and development The Best Practice Unit (BPU model constitutes a unique form of practice-based research. A variant of the Community of Practice model developed by Wenger, McDermott and Snyder (2002, the BPU has the specific aim of improving professional practice by combining innovation and research. The model is used as a way of working by a group of professionals, researchers and other relevant individuals, who over a period of one to two years, work together towards a desired improvement. The model is characterized by interaction between individual and collective learning processes, the development of new or improved working methods, and the implementation of these methods in daily practice. Multiple knowledge resources are used, including experiential knowledge, professional knowledge and scientific knowledge. The research serves diverse purposes: articulating tacit knowledge, documenting learning and innovation processes, systematically describing the working methods that have been revealed or developed, and evaluating the efficacy of the new methods. Each BPU is supported by a facilitator, whose main task is to optimize learning processes. An analysis of ten different BPUs in different professional fields shows that this is a successful model. The article describes the methodology and results of this study. De Best Practice Unit: een model voor leren, onderzoek en ontwikkeling Het model van de Best Practice Unit (BPU is een unieke vorm van praktijkgericht onderzoek. De Best Practice Unit is een variant van de Community of Practice zoals ontwikkeld door Wenger, McDermott en Snyder (2002 met als specifiek doel om de professionele praktijk te verbeteren door innovatie en onderzoek te combineren. Het model wordt gebruikt om in een periode van 1-2 jaar met een groep professionals, onderzoekers en andere betrokkenen te werken aan een gewenste verbetering. Kenmerkend is de wisselwerking tussen

  11. Four-component united-atom model of bitumen

    CERN Document Server

    Hansen, Jesper S; Nielsen, Erik; Dyre, Jeppe C; Schrøder, Thomas B

    2013-01-01

    We propose a four-component molecular model of bitumen. The model includes realistic chemical constituents and introduces a coarse-graining level that suppresses the highest frequency modes. Molecular dynamics simulations of the model are being carried out using Graphic-Processor-Units based software in time spans in order of microseconds, and this enables the study of slow relaxation processes characterizing bitumen. This paper focuses on the high-temperature dynamics as expressed through the mean-square displacement, the stress autocorrelation function, and rotational relaxation. The diffusivity of the individual molecules changes little as a function of temperature and reveals distinct dynamical time scales as a result of the different constituents in the system. Different time scales are also observed for the rotational relaxation. The stress autocorrelation function features a slow non-exponential decay for all temperatures studied. From the stress autocorrelation function, the shear viscosity and shear ...

  12. Interdisciplinary teamwork and the power of a quality improvement collaborative in tertiary neonatal intensive care units.

    Science.gov (United States)

    Grover, Theresa R; Pallotto, Eugenia K; Brozanski, Beverly; Piazza, Anthony J; Chuo, John; Moran, Susan; McClead, Richard; Mingrone, Teresa; Morelli, Lorna; Smith, Joan R

    2015-01-01

    Significant gaps in healthcare quality and outcomes can be reduced via quality improvement collaboratives (QICs), which improve care by leveraging data and experience from multiple organizations.The Children's Hospital Neonatal Consortium Collaborative Initiatives for Quality Improvement team developed an infrastructure for neonatal QICs. We describe the structure and components of an effective multi-institutional neonatal QIC that implemented the "SLUG Bug" project designed to reduce central line-associated bloodstream infections (CLABSIs).The operational infrastructure of SLUG Bug involved 17 tertiary care neonatal intensive care units with a goal to reduce CLABSI in high-risk neonates. Clinical Practice Recommendations were produced, and the Institute of Healthcare Improvement Breakthrough Series provided the framework for the collaborative. Process measures studied the effectiveness of the collaborative structure.CLABSI rates decreased by 20% during a 12-month study period. Compliance bundle reporting exceeded 80%. A QIC score of 2.5 or more ("improvement") was achieved by 94% of centers and a score 4 or more ("significant improvement") was achieved by 35%.Frequent interactive project meetings, well-defined project metrics, continual shared learning opportunities, and individual team coaching were key QIC success components. Through a coordinated approach and committed leadership, QICs can effectively implement change and improve the care of neonates with complex diagnoses and rare diseases.

  13. Modeling Forest Succession among Ecological Land Units in Northern Minnesota

    Directory of Open Access Journals (Sweden)

    George Host

    1998-12-01

    Full Text Available Field and modeling studies were used to quantify potential successional pathways among fine-scale ecological classification units within two geomorphic regions of north-central Minnesota. Soil and overstory data were collected on plots stratified across low-relief ground moraines and undulating sand dunes. Each geomorphic feature was sampled across gradients of topography or soil texture. Overstory conditions were sampled using five variable-radius point samples per plot; soil samples were analyzed for carbon and nitrogen content. Climatic, forest composition, and soil data were used to parameterize the sample plots for use with LINKAGES, a forest growth model that simulates changes in composition and soil characteristics over time. Forest composition and soil properties varied within and among geomorphic features. LINKAGES simulations were using "bare ground" and the current overstory as starting conditions. Northern hardwoods or pines dominated the late-successional communities of morainal and dune landforms, respectively. The morainal landforms were dominated by yellow birch and sugar maple; yellow birch reached its maximum abundance in intermediate landscape positions. On the dune sites, pine was most abundant in drier landscape positions, with white spruce increasing in abundance with increasing soil moisture and N content. The differences in measured soil properties and predicted late-successional composition indicate that ecological land units incorporate some of the key variables that govern forest composition and structure. They further show the value of ecological classification and modeling for developing forest management strategies that incorporate the spatial and temporal dynamics of forest ecosystems.

  14. Lumped Parameter Modeling for Rapid Vibration Response Prototyping and Test Correlation for Electronic Units

    Science.gov (United States)

    Van Dyke, Michael B.

    2013-01-01

    Present preliminary work using lumped parameter models to approximate dynamic response of electronic units to random vibration; Derive a general N-DOF model for application to electronic units; Illustrate parametric influence of model parameters; Implication of coupled dynamics for unit/board design; Demonstrate use of model to infer printed wiring board (PWB) dynamics from external chassis test measurement.

  15. A Multiobjective Programming Method for Ranking All Units Based on Compensatory DEA Model

    Directory of Open Access Journals (Sweden)

    Haifang Cheng

    2014-01-01

    Full Text Available In order to rank all decision making units (DMUs on the same basis, this paper proposes a multiobjective programming (MOP model based on a compensatory data envelopment analysis (DEA model to derive a common set of weights that can be used for the full ranking of all DMUs. We first revisit a compensatory DEA model for ranking all units, point out the existing problem for solving the model, and present an improved algorithm for which an approximate global optimal solution of the model can be obtained by solving a sequence of linear programming. Then, we applied the key idea of the compensatory DEA model to develop the MOP model in which the objectives are to simultaneously maximize all common weights under constraints that the sum of efficiency values of all DMUs is equal to unity and the sum of all common weights is also equal to unity. In order to solve the MOP model, we transform it into a single objective programming (SOP model using a fuzzy programming method and solve the SOP model using the proposed approximation algorithm. To illustrate the ranking method using the proposed method, two numerical examples are solved.

  16. Impact of improved snowmelt modelling in a monthly hydrological model.

    Science.gov (United States)

    Folton, Nathalie; Garcia, Florine

    2016-04-01

    The quantification and the management of water resources at the regional scale require hydrological models that are both easy to implement and efficient. To be reliable and robust, these models must be calibrated and validated on a large number of catchments that are representative of various hydro-meteorological conditions, physiographic contexts, and specific hydrological behavior (e.g. mountainous catchments). The GRLoiEau monthly model, with its simple structure and its two free parameters, answer our need of such a simple model. It required the development of a snow routine to model catchments with temporarily snow-covered areas. The snow routine developed here does not claim to represent physical snowmelt processes but rather to simulate them globally on the catchment. The snowmelt equation is based on the degree-day method which is widely used by the hydrological community, in particular in engineering studies (Etchevers 2000). A potential snowmelt (Schaefli et al. 2005) was computed, and the parameters of the snow routine were regionalized for each mountain area. The GRLoiEau parsimonious structure requires meteorological data. They come from the distributed mesoscale atmospheric analysis system SAFRAN, which provides estimations of daily solid and liquid precipitations and temperatures on a regular square grid at the spatial resolution of 8*8 km², throughout France. Potential evapotranspiration was estimated using the formula by Oudin et al. (2005). The aim of this study is to improve the quality of monthly simulations for ungauged basins, in particular for all types of mountain catchments, without increasing the number of free parameters of the model. By using daily SAFRAN data, the production store and snowmelt can be run at a daily time scale. The question then arises whether simulating the monthly flows using a production function at a finer time step would improve the results. And by using the SAFRAN distributed climate series, a distributed approach

  17. How can model comparison help improving species distribution models?

    Science.gov (United States)

    Gritti, Emmanuel Stephan; Gaucherel, Cédric; Crespo-Perez, Maria-Veronica; Chuine, Isabelle

    2013-01-01

    Today, more than ever, robust projections of potential species range shifts are needed to anticipate and mitigate the impacts of climate change on biodiversity and ecosystem services. Such projections are so far provided almost exclusively by correlative species distribution models (correlative SDMs). However, concerns regarding the reliability of their predictive power are growing and several authors call for the development of process-based SDMs. Still, each of these methods presents strengths and weakness which have to be estimated if they are to be reliably used by decision makers. In this study we compare projections of three different SDMs (STASH, LPJ and PHENOFIT) that lie in the continuum between correlative models and process-based models for the current distribution of three major European tree species, Fagussylvatica L., Quercusrobur L. and Pinussylvestris L. We compare the consistency of the model simulations using an innovative comparison map profile method, integrating local and multi-scale comparisons. The three models simulate relatively accurately the current distribution of the three species. The process-based model performs almost as well as the correlative model, although parameters of the former are not fitted to the observed species distributions. According to our simulations, species range limits are triggered, at the European scale, by establishment and survival through processes primarily related to phenology and resistance to abiotic stress rather than to growth efficiency. The accuracy of projections of the hybrid and process-based model could however be improved by integrating a more realistic representation of the species resistance to water stress for instance, advocating for pursuing efforts to understand and formulate explicitly the impact of climatic conditions and variations on these processes.

  18. Improving models for urban soundscape systems

    Directory of Open Access Journals (Sweden)

    Lawrence Harvey

    2013-12-01

    Full Text Available Large-scale urban soundscape systems offer novel environments for electroacoustic composers, sound artists and sound designers to extend their practice beyond concert halls, art galleries and screen-based digital media. One such system with 156 loudspeakers was installed in 1991 on the Southgate Arts and Leisure Precinct in central Melbourne. Over the next 15 years another three large multichannel soundscape systems were installed on other sites close to the first. A fifth system was established for a single work of art in 2006. Despite this private and public investment in sound art estimated at over one million Australian dollars, several systems are no longer in operation while some remaining systems require technical and curatorial development to ensure their continued cultural presence. To investigate why some systems had failed, interviews were conducted with key players in the development and operation of the five systems. A report from the interviews was produced and is the basis of this paper framing critical issues for improving models of urban soundscape practice. Following a brief overview of related studies in urban sound practices, and descriptions of the system and original study, key themes that emerged from the interviews are examined.

  19. Developing a performance data suite to facilitate lean improvement in a chemotherapy day unit.

    Science.gov (United States)

    Lingaratnam, Senthil; Murray, Danielle; Carle, Amber; Kirsa, Sue W; Paterson, Rebecca; Rischin, Danny

    2013-07-01

    A multidisciplinary team from the Peter MacCallum Cancer Centre in Melbourne, Australia, developed a performance data suite to support a service improvement project based on lean manufacturing principles in its 19-chair chemotherapy day unit (CDU) and cytosuite chemotherapy production facility. The aims of the project were to reduce patient wait time and improve equity of access to the CDU. A project team consisting of a pharmacist and CDU nurse supported the management team for 10 months in engaging staff and customers to identify waste in processes, analyze root causes, eliminate non-value-adding steps, reduce variation, and level workloads to improve quality and flow. Process mapping, staff and patient tracking and opinion surveys, medical record audits, and interrogation of electronic treatment records were undertaken. This project delivered a 38% reduction in median wait time on the day (from 32 to 20 minutes; P lean improvement methodology provided a robust framework for improved understanding and management of complex system constraints within a CDU, resulting in improved access to treatment and reduced waiting times on the day.

  20. Effect of a "Lean" intervention to improve safety processes and outcomes on a surgical emergency unit.

    Science.gov (United States)

    McCulloch, Peter; Kreckler, Simon; New, Steve; Sheena, Yezen; Handa, Ashok; Catchpole, Ken

    2010-11-02

    Emergency surgical patients are at high risk for harm because of errors in care. Quality improvement methods that involve process redesign, such as “Lean,” appear to improve service reliability and efficiency in healthcare. Interrupted time series. The emergency general surgery ward of a university hospital in the United Kingdom. Seven safety relevant care processes. A Lean intervention targeting five of the seven care processes relevant to patient safety. 969 patients were admitted during the four month study period before the introduction of the Lean intervention (May to August 2007), and 1114 were admitted during the four month period after completion of the intervention (May to August 2008). Compliance with the five process measures targeted for Lean intervention (but not the two that were not) improved significantly (relative improvement 28% to 149%; PLean can substantially and simultaneously improve compliance with a bundle of safety related processes. Given the interconnected nature of hospital care, this strategy might not translate into improvements in safety outcomes unless a system-wide approach is adopted to remove barriers to change.

  1. Improvement of a sensor unit for wrist blood pressure monitoring system

    Science.gov (United States)

    Koo, Sangjun; Kwon, Jongwon; Park, Yongman; Ayuzenara, Odgerel; Kim, Hiesik

    2007-12-01

    A blood pressure sensor unit for ubiquitous healthcare monitoring was newly developed. The digital wrist band-type blood pressure devices for home are popular already in the market. It is useful for checking blood pressure level at home and control of hypertension. Especially, it is very essential home device to check the health condition of blood circulation disease. Nowadays many product types are available. But the measurement of blood pressure is not accurate enough compared with the mechanical type. It needs to be upgraded to assure the precise health data enough to use in the hospital. The structure, feature and output signal of capacitor type pressure sensors are analyzed. An improved design of capacitor sensor is suggested. It shows more precise health data after use on a wrist band type health unit. They can be applied for remote u-health medical service.

  2. A convolution model of rock bed thermal storage units

    Science.gov (United States)

    Sowell, E. F.; Curry, R. L.

    1980-01-01

    A method is presented whereby a packed-bed thermal storage unit is dynamically modeled for bi-directional flow and arbitrary input flow stream temperature variations. The method is based on the principle of calculating the output temperature as the sum of earlier input temperatures, each multiplied by a predetermined 'response factor', i.e., discrete convolution. A computer implementation of the scheme, in the form of a subroutine for a widely used solar simulation program (TRNSYS) is described and numerical results compared with other models. Also, a method for efficient computation of the required response factors is described; this solution is for a triangular input pulse, previously unreported, although the solution method is also applicable for other input functions. This solution requires a single integration of a known function which is easily carried out numerically to the required precision.

  3. Simulating Lattice Spin Models on Graphics Processing Units

    CERN Document Server

    Levy, Tal; Rabani, Eran; 10.1021/ct100385b

    2012-01-01

    Lattice spin models are useful for studying critical phenomena and allow the extraction of equilibrium and dynamical properties. Simulations of such systems are usually based on Monte Carlo (MC) techniques, and the main difficulty is often the large computational effort needed when approaching critical points. In this work, it is shown how such simulations can be accelerated with the use of NVIDIA graphics processing units (GPUs) using the CUDA programming architecture. We have developed two different algorithms for lattice spin models, the first useful for equilibrium properties near a second-order phase transition point and the second for dynamical slowing down near a glass transition. The algorithms are based on parallel MC techniques, and speedups from 70- to 150-fold over conventional single-threaded computer codes are obtained using consumer-grade hardware.

  4. Implementation of unit-based interventions to improve teamwork and patient safety on a medical service.

    Science.gov (United States)

    O'Leary, Kevin J; Creden, Amanda J; Slade, Maureen E; Landler, Matthew P; Kulkarni, Nita; Lee, Jungwha; Vozenilek, John A; Pfeifer, Pamela; Eller, Susan; Wayne, Diane B; Williams, Mark V

    2015-01-01

    In a prior study involving 2 medical units, Structured Interdisciplinary Rounds (SIDRs) improved teamwork and reduced adverse events (AEs). SIDR was implemented on 5 additional units, and a pre- versus postintervention comparison was performed. SIDR combined a structured format for communication with daily interprofessional meetings. Teamwork was assessed using the Safety Attitudes Questionnaire (score range = 0-100), and AEs were identified using queries of information systems confirmed by 2 physician researchers. Paired analyses for 82 professionals completing surveys both pre and post implementation revealed improved teamwork (mean 76.8 ± 14.3 vs 80.5 ± 11.6; P = .02), which was driven mainly by nurses (76.4 ± 14.1 vs 80.8 ± 10.4; P = .009). The AE rate was similar across study periods (3.90 vs 4.07 per 100 patient days; adjusted IRR = 1.08; P = .60). SIDR improved teamwork yet did not reduce AEs. Higher baseline teamwork scores and lower AE rates than the prior study may reflect a positive cultural shift that began prior to the current study. © The Author(s) 2014.

  5. A new type of swaddling clothing improved development of preterm infants in neonatal intensive care units.

    Science.gov (United States)

    Kitase, Yuma; Sato, Yoshiaki; Takahashi, Hirokazu; Shimizu, Misaki; Ishikawa, Chie; Yamamoto, Hikaru; Hayakawa, Masahiro

    2017-09-01

    Preterm infants undergo stress owing to essential treatments and exposure to the extrauterine environment in neonatal intensive care units. The aim of this study was to enable preterm infants to maintain adequate positioning with a newly developed swaddling clothing, in order to improve low muscle tone and sleep quality, and to confirm the safety of the clothing. This prospective clinical trial included an intervention group (preterm infants wearing bag-shaped clothing, allowing only exposure of the head, n=27), and a control group (preterm infants managed only with conventional swaddling, n=12). We used the Dubowitz method to analyze behavior, recorded the frequency of vomiting and apnea in both groups, and assessed the sleep state in the intervention group. Muscle tone and total score for the Dubowitz method significantly improved in the intervention group, compared with those in the control group. We evaluated the sleep state before and after the introduction of the device in the intervention group, and State 1 increased from 53.5% to 69.2% after introduction. No significant difference was seen in the frequency of vomiting and apnea between the groups. The new swaddling clothing with enhanced stretch capacity improved the muscle tone and increased sleep time by decreasing the state level of preterm infants. This is an effective tool to assist in infant development in neonatal intensive care units. Copyright © 2017 Elsevier B.V. All rights reserved.

  6. Health care policy reform: a microanalytic model for comparing hospitals in the United States and Germany.

    Science.gov (United States)

    Parsons, R J; Woller, G M; Neubauer, G; Rothaemel, F T; Zelle, B

    1999-01-01

    Microcomparison, or single-component analysis, of health care systems offers a potentially better basis for reform than traditional macrocomparison analysis of aggregate elements. Using macroanalysis, available evidence shows that Germany provides cheaper but more effective hospital care than the United States. To find the causes for this outcome, we developed a microanalytic model of hospital administrators' perceptions, financial ratios, medical outcomes, and pharmaceutical costs. However, only data on pharmaceutical costs were available, and these were similar in both countries. Our significant outcome was development of a microcomparative model that gives world medical care providers new criteria for analyzing and improving cost to care ratios.

  7. Modeling and Control of Low Voltage Flexible Units for Enhanced Operation of Distribution Feeders

    DEFF Research Database (Denmark)

    Raboni, Pietro; Hu, Weihao; Chaudhary, Sanjay

    2013-01-01

    Battery (EVB) is proposed for providing primary regulation in grid connected mode and for hierarchically manage an islanded LV distribution feeder. The unit models are described and a novel EVB model directly based on manufacturer’s data is proposed and evaluated comparing its performances with Sim......PowerSystems library block. Moreover a voltage dependant power term is applied to the Voltage-Source Converter (VSC) control scheme of the EVB for improving the performances of the islanded feeder. The control is tested in case of under frequency and consequent load shedding occurring at the residential feeder...

  8. Kinematic modelling of disc galaxies using graphics processing units

    Science.gov (United States)

    Bekiaris, G.; Glazebrook, K.; Fluke, C. J.; Abraham, R.

    2016-01-01

    With large-scale integral field spectroscopy (IFS) surveys of thousands of galaxies currently under-way or planned, the astronomical community is in need of methods, techniques and tools that will allow the analysis of huge amounts of data. We focus on the kinematic modelling of disc galaxies and investigate the potential use of massively parallel architectures, such as the graphics processing unit (GPU), as an accelerator for the computationally expensive model-fitting procedure. We review the algorithms involved in model-fitting and evaluate their suitability for GPU implementation. We employ different optimization techniques, including the Levenberg-Marquardt and nested sampling algorithms, but also a naive brute-force approach based on nested grids. We find that the GPU can accelerate the model-fitting procedure up to a factor of ˜100 when compared to a single-threaded CPU, and up to a factor of ˜10 when compared to a multithreaded dual CPU configuration. Our method's accuracy, precision and robustness are assessed by successfully recovering the kinematic properties of simulated data, and also by verifying the kinematic modelling results of galaxies from the GHASP and DYNAMO surveys as found in the literature. The resulting GBKFIT code is available for download from: http://supercomputing.swin.edu.au/gbkfit.

  9. Parallelizing the Cellular Potts Model on graphics processing units

    Science.gov (United States)

    Tapia, José Juan; D'Souza, Roshan M.

    2011-04-01

    The Cellular Potts Model (CPM) is a lattice based modeling technique used for simulating cellular structures in computational biology. The computational complexity of the model means that current serial implementations restrict the size of simulation to a level well below biological relevance. Parallelization on computing clusters enables scaling the size of the simulation but marginally addresses computational speed due to the limited memory bandwidth between nodes. In this paper we present new data-parallel algorithms and data structures for simulating the Cellular Potts Model on graphics processing units. Our implementations handle most terms in the Hamiltonian, including cell-cell adhesion constraint, cell volume constraint, cell surface area constraint, and cell haptotaxis. We use fine level checkerboards with lock mechanisms using atomic operations to enable consistent updates while maintaining a high level of parallelism. A new data-parallel memory allocation algorithm has been developed to handle cell division. Tests show that our implementation enables simulations of >10 cells with lattice sizes of up to 256 3 on a single graphics card. Benchmarks show that our implementation runs ˜80× faster than serial implementations, and ˜5× faster than previous parallel implementations on computing clusters consisting of 25 nodes. The wide availability and economy of graphics cards mean that our techniques will enable simulation of realistically sized models at a fraction of the time and cost of previous implementations and are expected to greatly broaden the scope of CPM applications.

  10. Building improved models of sugar maple mortality

    Science.gov (United States)

    Charles H. Perry; Patrick L. Zimmerman

    2012-01-01

    The decline of sugar maple (Acer saccharum Marsh.) in the northern United States is causing concern, and several studies have identified soil properties that are linked to the observation of dead/dying trees. Unfortunately, the sample of trees supporting these studies is purposive in nature; soil properties are assessed only on those plots where dead...

  11. Improved simulation design factors for unconventional crude vacuum units : cracked gas make and stripping section performance

    Energy Technology Data Exchange (ETDEWEB)

    Remesat, D. [Koch-Glitsch Canada LP, Calgary, AB (Canada)

    2008-10-15

    Operating data for unconventional heavy oil vacuum crude units were reviewed in order to optimize the design of vacuum columns. Operational data from heavy crude vacuum units operating with stripping and velocity were used to investigate the application of a proven vacuum distillation tower simulation topology designed for use with heavy oil and bitumen upgrader feeds. Design factors included a characterization of the crude oils or bitumens processed in the facility; the selection of thermodynamic models; and the non-equilibrium simulation topology. Amounts of generated cracked gas were calculated, and entrainment and stripping section performance was evaluated. Heater designs for ensuring the even distribution of heat flux were discussed. Data sets from vacuum units processing crude oils demonstrated that the amount of offgas flow increased as the transfer line temperature increased. The resulting instability caused increased coke generation and light hydrocarbon formation. Results also indicated that overhead vacuum ejector design and size as well as heat transfer capabilities of quench and pumparound zones must be considered when designing vacuum column units. Steam stripping lowered hydrocarbon partial pressure to allow materials to boil at lower temperatures. It was concluded that setting appropriate entrainment values will ensure the accuracy of sensitivity analyses for transfer line designs, inlet feed devices, and wash bed configurations. 9 refs., figs.

  12. Improving environmental performance through unit-level organizational citizenship behaviors for the environment: A capability perspective.

    Science.gov (United States)

    Alt, Elisa; Spitzeck, Heiko

    2016-11-01

    Organizational citizenship behaviors for the environment (OCBEs) are increasingly advocated as a means of complementing formal practices in improving environmental performance. Adopting a capability perspective, we propose that a firm's employee involvement capability translates into environmental performance through the manifestation of unit-level OCBEs, and that this relationship is amplified by a shared vision capability. In a cross-country and multi-industry sample of 170 firms, we find support for our hypotheses, shedding light on contextual determinants of OCBEs, and on how firms may engender a positive relationship between top-down environmental initiatives and bottom-up behaviors.

  13. Does NASA SMAP Improve the Accuracy of Power Outage Models?

    Science.gov (United States)

    Quiring, S. M.; McRoberts, D. B.; Toy, B.; Alvarado, B.

    2016-12-01

    Electric power utilities make critical decisions in the days prior to hurricane landfall that are primarily based on the estimated impact to their service area. For example, utilities must determine how many repair crews to request from other utilities, the amount of material and equipment they will need to make repairs, and where in their geographically expansive service area to station crews and materials. Accurate forecasts of the impact of an approaching hurricane within their service area are critical for utilities in balancing the costs and benefits of different levels of resources. The Hurricane Outage Prediction Model (HOPM) are a family of statistical models that utilize predictions of tropical cyclone windspeed and duration of strong winds, along with power system and environmental variables (e.g., soil moisture, long-term precipitation), to forecast the number and location of power outages. This project assesses whether using NASA SMAP soil moisture improves the accuracy of power outage forecasts as compared to using model-derived soil moisture from NLDAS-2. A sensitivity analysis is employed since there have been very few tropical cyclones making landfall in the United States since SMAP was launched. The HOPM is used to predict power outages for 13 historical tropical cyclones and the model is run using twice, once with NLDAS soil moisture and once with SMAP soil moisture. Our results demonstrate that using SMAP soil moisture can have a significant impact on power outage predictions. SMAP has the potential to enhance the accuracy of power outage forecasts. Improved outage forecasts reduce the duration of power outages which reduces economic losses and accelerates recovery.

  14. Medication errors in the intensive care unit: literature review using the SEIPS model.

    Science.gov (United States)

    Frith, Karen H

    2013-01-01

    Medication errors in intensive care units put patients at risk for injury or death every day. Safety requires an organized and systematic approach to improving the tasks, technology, environment, and organizational culture associated with medication systems. The Systems Engineering Initiative for Patient Safety model can help leaders and health care providers understand the complicated and high-risk work associated with critical care. Using this model, the author combines a human factors approach with the well-known structure-process-outcome model of quality improvement to examine research literature. The literature review reveals that human factors, including stress, high workloads, knowledge deficits, and performance deficits, are associated with medication errors. Factors contributing to medication errors are frequent interruptions, communication problems, and poor fit of health information technology to the workflow of providers. Multifaceted medication safety interventions are needed so that human factors and system problems can be addressed simultaneously.

  15. How efficient can an emergency unit be? A perfect world model.

    Science.gov (United States)

    Baboolal, Kesh; Griffiths, Jeff D; Knight, Vincent A; Nelson, Andrew V; Voake, Cheryl; Williams, Janet E

    2012-12-01

    Various approaches have been used to identify possible routes for improvement of patient flow within an emergency unit (EU). One such approach is to use simulation to create a 'real world' model of an EU and carry out various tests to gauge ways of improvement. This paper proposes a novel approach in which simulation is used to create a 'perfect world model'. The EU at a major UK hospital is modelled not as it is, but as it could be. The 'efficiency gap' between the 'perfect world' and the 'real world' demonstrates how operational research can be used effectively to identify the location of bottlenecks in the current 'whole hospital' patient pathway and can be used in the planning and managing of hospital resources to ensure the most effective use of those resources.

  16. Improved discriminative training for generative model

    Institute of Scientific and Technical Information of China (English)

    WU Ya-hui; GUO Jun; LIU Gang

    2009-01-01

    This article proposes a model combination method to enhance the discriminability of the generative model. Generative and discriminative models have different optimization objectives and have their own advantages and drawbacks. The method proposed in this article intends to strike a balance between the two models mentioned above. It extracts the discriminative parameter from the generative model and generates a new model based on a multi-model combination. The weight for combining is determined by the ratio of the inter-variance to the intra-variance of the classes. The higher the ratio is, the greater the weight is, and the more discriminative the model will be. Experiments on speech recognition demonstrate that the performance of the new model outperforms the model trained with the traditional generative method.

  17. Meta-model Based Model Organization and Transformation of Design Pattern Units in MDA

    Institute of Scientific and Technical Information of China (English)

    Chang-chun YANG; Zi-yi ZHAO; Jing Sun

    2010-01-01

    Tb achieve the purpose of applying design patterns which are various in kind and constant in changing in MDA from idea and application,one way is used to solve the problem of pattern disappearance which occurs at the process of pattern instantiation,to guarantee the independenceJpatterns,and at the same time,to apply this process to miltiple design patterns.Ib solve these two problems,the modeling method of design pattern units based on seta-models is adopted,I.e.,to divide the basic operations into atones in the metamodel tier and then combine the atones to complete design pattern units seta-models without business logic.After one process of conversion,the kxupose of making up various pattern units seta-model and dividing business logic and pattern logic is achieved.

  18. Transport of Pathogen Surrogates in Soil Treatment Units: Numerical Modeling

    Directory of Open Access Journals (Sweden)

    Ivan Morales

    2014-04-01

    Full Text Available Segmented mesocosms (n = 3 packed with sand, sandy loam or clay loam soil were used to determine the effect of soil texture and depth on transport of two septic tank effluent (STE-borne microbial pathogen surrogates—green fluorescent protein-labeled E. coli (GFPE and MS-2 coliphage—in soil treatment units. HYDRUS 2D/3D software was used to model the transport of these microbes from the infiltrative surface. Mesocosms were spiked with GFPE and MS-2 coliphage at 105 cfu/mL STE and 105–106 pfu/mL STE, respectively. In all soils, removal rates were >99.99% at 25 cm. The transport simulation compared (1 optimization; and (2 trial-and-error modeling approaches. Only slight differences between the transport parameters were observed between these approaches. Treating both the die-off rates and attachment/detachment rates as variables resulted in an overall better model fit, particularly for the tailing phase of the experiments. Independent of the fitting procedure, attachment rates computed by the model were higher in sandy and sandy loam soils than clay, which was attributed to unsaturated flow conditions at lower water content in the coarser-textured soils. Early breakthrough of the bacteria and virus indicated the presence of preferential flow in the system in the structured clay loam soil, resulting in faster movement of water and microbes through the soil relative to a conservative tracer (bromide.

  19. Kinematic Modelling of Disc Galaxies using Graphics Processing Units

    CERN Document Server

    Bekiaris, Georgios; Fluke, Christopher J; Abraham, Roberto

    2015-01-01

    With large-scale Integral Field Spectroscopy (IFS) surveys of thousands of galaxies currently under-way or planned, the astronomical community is in need of methods, techniques and tools that will allow the analysis of huge amounts of data. We focus on the kinematic modelling of disc galaxies and investigate the potential use of massively parallel architectures, such as the Graphics Processing Unit (GPU), as an accelerator for the computationally expensive model-fitting procedure. We review the algorithms involved in model-fitting and evaluate their suitability for GPU implementation. We employ different optimization techniques, including the Levenberg-Marquardt and Nested Sampling algorithms, but also a naive brute-force approach based on Nested Grids. We find that the GPU can accelerate the model-fitting procedure up to a factor of ~100 when compared to a single-threaded CPU, and up to a factor of ~10 when compared to a multi-threaded dual CPU configuration. Our method's accuracy, precision and robustness a...

  20. United polarizable multipole water model for molecular mechanics simulation

    Energy Technology Data Exchange (ETDEWEB)

    Qi, Rui; Wang, Qiantao; Ren, Pengyu, E-mail: pren@mail.utexas.edu [Department of Biomedical Engineering, The University of Texas at Austin, Austin, Texas 78712 (United States); Wang, Lee-Ping; Pande, Vijay S. [Department of Chemistry, Stanford University, Stanford, California 94305 (United States)

    2015-07-07

    We report the development of a united AMOEBA (uAMOEBA) polarizable water model, which is computationally 3–5 times more efficient than the three-site AMOEBA03 model in molecular dynamics simulations while providing comparable accuracy for gas-phase and liquid properties. In this coarse-grained polarizable water model, both electrostatic (permanent and induced) and van der Waals representations have been reduced to a single site located at the oxygen atom. The permanent charge distribution is described via the molecular dipole and quadrupole moments and the many-body polarization via an isotropic molecular polarizability, all located at the oxygen center. Similarly, a single van der Waals interaction site is used for each water molecule. Hydrogen atoms are retained only for the purpose of defining local frames for the molecular multipole moments and intramolecular vibrational modes. The parameters have been derived based on a combination of ab initio quantum mechanical and experimental data set containing gas-phase cluster structures and energies, and liquid thermodynamic properties. For validation, additional properties including dimer interaction energy, liquid structures, self-diffusion coefficient, and shear viscosity have been evaluated. The results demonstrate good transferability from the gas to the liquid phase over a wide range of temperatures, and from nonpolar to polar environments, due to the presence of molecular polarizability. The water coordination, hydrogen-bonding structure, and dynamic properties given by uAMOEBA are similar to those derived from the all-atom AMOEBA03 model and experiments. Thus, the current model is an accurate and efficient alternative for modeling water.

  1. Modeling Small Scale Solar Powered ORC Unit for Standalone Application

    Directory of Open Access Journals (Sweden)

    Enrico Bocci

    2012-01-01

    Full Text Available When the electricity from the grid is not available, the generation of electricity in remote areas is an essential challenge to satisfy important needs. In many developing countries the power generation from Diesel engines is the applied technical solution. However the cost and supply of fuel make a strong dependency of the communities on the external support. Alternatives to fuel combustion can be found in photovoltaic generators, and, with suitable conditions, small wind turbines or microhydroplants. The aim of the paper is to simulate the power generation of a generating unit using the Rankine Cycle and using refrigerant R245fa as a working fluid. The generation unit has thermal solar panels as heat source and photovoltaic modules for the needs of the auxiliary items (pumps, electronics, etc.. The paper illustrates the modeling of the system using TRNSYS platform, highlighting standard and “ad hoc” developed components as well as the global system efficiency. In the future the results of the simulation will be compared with the data collected from the 3 kW prototype under construction in the Tuscia University in Italy.

  2. Cooperative Fish and Wildlife Research Units - A model partnership program

    Science.gov (United States)

    Dennerline, Donald E.; Childs, Dawn E.

    2017-04-20

    The U.S. Geological Survey (USGS) Cooperative Fish and Wildlife Research Units (CRU) program is a unique model of cooperative partnership among the USGS, other U.S. Department of the Interior and Federal agencies, universities, State fish and wildlife agencies, and the Wildlife Management Institute. These partnerships are maintained as one of the USGS’s strongest links to Federal and State land and natural resource management agencies.Established in 1935 to meet the need for trained professionals in the growing field of wildlife management, the program currently consists of 40 Cooperative Fish and Wildlife Research Units located on university campuses in 38 States and supports 119 research scientist positions when fully funded. The threefold mission of the CRU program is to (1) conduct scientific research for the management of fish, wildlife, and other natural resources; (2) provide technical assistance to natural resource managers in the application of scientific information to natural resource policy and management; and (3) train future natural resource professionals.

  3. Acute stroke unit improves stroke management-four years on from INASC.

    LENUS (Irish Health Repository)

    Shanahan, E

    2015-02-01

    The Irish Heart Foundation carried out the Irish National Audit of Stroke Care (INASC) in 2008. Management practices were significantly poorer than those in the UK Sentinel audits. Since then an acute stroke unit has been established in University Hospital Limerick. A stroke database was established. 12 key indicators of stroke management audited by INASC were identified. Results were compared to those in INASC. 89 stroke patients were admitted. 8 of the 12 key indicators scored significantly better than in INASC. 92.5% had a brain scan within 24hrs (INASC-40%, p = < 0.001). 100% of ischaemic strokes received anti-thrombotics (INASC-85%, p = 0.001). 94% had rehab goals agreed by MDT (22% in INASC p = 0.0000). 55% were treated in stroke unit (2% in INASC, p = 0.0000). MDT input improved with regard to physiotherapy (87% vs 43% in INASC, p = < 0.02) and SALT (74% vs 26%, p = < 0.02). Stroke management has significantly improved from 2008, however some deficiencies remain.

  4. An Improved Scalar Costa Scheme Based on Watson Perceptual Model

    Institute of Scientific and Technical Information of China (English)

    QI Kai-yue; CHEN Jian-bo; ZHOU Yi

    2008-01-01

    An improved scalar Costa scheme (SCS) was proposed by using improved Watson perceptual model to adaptively decide quantization step size and scaling factor. The improved scheme equals to embed hiding data based on an actual image. In order to withstand amplitude scaling attack, the Watson perceptual model was redefined, and the improved scheme using the new definition can insure quantization step size in decoder that is proportional to amplitude scaling attack factor. The performance of the improved scheme outperforms that of SCS with fixed quantization step size. The improved scheme combines information theory and visual model.

  5. [Improving patient safety: Usefulness of safety checklists in a neonatal unit].

    Science.gov (United States)

    Arriaga Redondo, María; Sanz López, Ester; Rodríguez Sánchez de la Blanca, Ana; Marsinyach Ros, Itziar; Collados Gómez, Laura; Díaz Redondo, Alicia; Sánchez Luna, Manuel

    2017-01-27

    Due to the complexity and characteristics of their patients, neonatal units are risk areas for the development of adverse events (AE). For this reason, there is a need to introduce and implement some tools and strategies that will help to improve the safety of the neonatal patient. Safety check-lists have shown to be a useful tool in other health areas but they are not sufficiently developed in Neonatal Units. A quasi-experimental prospective study was conducted on the design and implementation of the use of a checklist and evaluation of its usefulness for detecting incidents. The satisfaction of the health professionals on using the checklist tool was also assessed. The compliance rate in the neonatal intensive care unit (NICU) was 56.5%, with 4.03 incidents per patient being detected. One incident was detected for every 5.3 checklists used. The most frequent detected incidents were those related to medication, followed by inadequate alarm thresholds, adjustments of the monitors, and medication pumps. The large majority (75%) of the NICU health professionals considered the checklist useful or very useful, and 68.75% considered that its use had managed to avoid an AE. The overall satisfaction was 83.33% for the professionals with less than 5 years working experience, and 44.4% of the professionals with more than 5 years of experience were pleased or very pleased. The checklists have shown to be a useful tool for the detection of incidents, especially in NICU, with a positive assessment from the health professionals of the unit. Copyright © 2016. Publicado por Elsevier España, S.L.U.

  6. Modeling of the CTEx subcritical unit using MCNPX code

    Energy Technology Data Exchange (ETDEWEB)

    Santos, Avelino [Divisao de Defesa Quimica, Biologica e Nuclear. Centro Tecnologico do Exercito - CTEx, Guaratiba, Rio de Janeiro, RJ (Brazil); Silva, Ademir X. da, E-mail: ademir@con.ufrj.br [Programa de Engenharia Nuclear. Universidade Federal do Rio de Janeiro - UFRJ Centro de Tecnologia, Rio de Janeiro, RJ (Brazil); Rebello, Wilson F. [Secao de Engenharia Nuclear - SE/7 Instituto Militar de Engenharia - IME Rio de Janeiro, RJ (Brazil); Cunha, Victor L. Lassance [Instituto de Engenharia Nuclear (IEN/CNEN-RJ), Rio de Janeiro, RJ (Brazil)

    2011-07-01

    The present work aims at simulating the subcritical unit of Army Technology Center (CTEx) namely ARGUS pile (subcritical uranium-graphite arrangement) by using the computational code MCNPX. Once such modeling is finished, it could be used in k-effective calculations for systems using natural uranium as fuel, for instance. ARGUS is a subcritical assembly which uses reactor-grade graphite as moderator of fission neutrons and metallic uranium fuel rods with aluminum cladding. The pile is driven by an Am-Be spontaneous neutron source. In order to achieve a higher value for k{sub eff}, a higher concentration of U235 can be proposed, provided it safely remains below one. (author)

  7. Air pollution modelling using a graphics processing unit with CUDA

    CERN Document Server

    Molnar, Ferenc; Meszaros, Robert; Lagzi, Istvan; 10.1016/j.cpc.2009.09.008

    2010-01-01

    The Graphics Processing Unit (GPU) is a powerful tool for parallel computing. In the past years the performance and capabilities of GPUs have increased, and the Compute Unified Device Architecture (CUDA) - a parallel computing architecture - has been developed by NVIDIA to utilize this performance in general purpose computations. Here we show for the first time a possible application of GPU for environmental studies serving as a basement for decision making strategies. A stochastic Lagrangian particle model has been developed on CUDA to estimate the transport and the transformation of the radionuclides from a single point source during an accidental release. Our results show that parallel implementation achieves typical acceleration values in the order of 80-120 times compared to CPU using a single-threaded implementation on a 2.33 GHz desktop computer. Only very small differences have been found between the results obtained from GPU and CPU simulations, which are comparable with the effect of stochastic tran...

  8. Parameter estimation in a spatial unit root autoregressive model

    CERN Document Server

    Baran, Sándor

    2011-01-01

    Spatial autoregressive model $X_{k,\\ell}=\\alpha X_{k-1,\\ell}+\\beta X_{k,\\ell-1}+\\gamma X_{k-1,\\ell-1}+\\epsilon_{k,\\ell}$ is investigated in the unit root case, that is when the parameters are on the boundary of the domain of stability that forms a tetrahedron with vertices $(1,1,-1), \\ (1,-1,1),\\ (-1,1,1)$ and $(-1,-1,-1)$. It is shown that the limiting distribution of the least squares estimator of the parameters is normal and the rate of convergence is $n$ when the parameters are in the faces or on the edges of the tetrahedron, while on the vertices the rate is $n^{3/2}$.

  9. State Feedback H∞ Control of Power Units Based on an Improved Particle Swarm Optimization

    Directory of Open Access Journals (Sweden)

    Zhongqiang Wu

    2015-01-01

    Full Text Available A new state feedback H∞ control scheme is presented used in the boiler-turbine power units based on an improved particle swarm optimizing algorithm. Firstly, the nonlinear system is transformed into a linear time-varying system; then the H∞ control problem is transformed into the solution of a Riccati equation. The control effect of H∞ controller depends on the selection of matrix P, so an improved particle swarm optimizing (PSO algorithm by introducing differential evolution algorithm is used to solve the Riccati equation. The main purpose is that mutation and crossover are introduced for a new population, and the population diversity is improved. It is beneficial to eliminate stagnation caused by premature convergence, and the algorithm convergence rate is improved. Finally, the real-time optimizing of the controller parameters is realized. Theoretical analysis and simulation results show that a state feedback H∞ controller can be obtained, which can ensure asymptotic stability of the system, and the double objectives of stabilizing system and suppressing the disturbance are got. The system can work well over a large range working point.

  10. Modeling low impact development potential with hydrological response units.

    Science.gov (United States)

    Eric, Marija; Fan, Celia; Joksimovic, Darko; Li, James Y

    2013-01-01

    Evaluations of benefits of implementing low impact development (LID) stormwater management techniques can extend up to a watershed scale. This presents a challenge for representing them in watershed models, since they are typically orders of magnitude smaller in size. This paper presents an approach that is focused on trying to evaluate the benefits of implementing LIDs on a lot level. The methodology uses the concept of urban hydrological response Unit and results in developing and applying performance curves that are a function of lot properties to estimate the potential benefit of large-scale LID implementation. Lot properties are determined using a municipal geographic information system database and processed to determine groups of lots with similar properties. A representative lot from each group is modeled over a typical rainfall year using USEPA Stormwater Management Model to develop performance functions that relate the lot properties and the change in annual runoff volume and corresponding phosphorus loading with different LIDs implemented. The results of applying performance functions on all urban areas provide the potential locations, benefit and cost of implementation of all LID techniques, guiding future decisions for LID implementation by watershed area municipalities.

  11. CHARMM36 united atom chain model for lipids and surfactants.

    Science.gov (United States)

    Lee, Sarah; Tran, Alan; Allsopp, Matthew; Lim, Joseph B; Hénin, Jérôme; Klauda, Jeffery B

    2014-01-16

    Molecular simulations of lipids and surfactants require accurate parameters to reproduce and predict experimental properties. Previously, a united atom (UA) chain model was developed for the CHARMM27/27r lipids (Hénin, J., et al. J. Phys. Chem. B. 2008, 112, 7008-7015) but suffers from the flaw that bilayer simulations using the model require an imposed surface area ensemble, which limits its use to pure bilayer systems. A UA-chain model has been developed based on the CHARMM36 (C36) all-atom lipid parameters, termed C36-UA, and agreed well with bulk, lipid membrane, and micelle formation of a surfactant. Molecular dynamics (MD) simulations of alkanes (heptane and pentadecane) were used to test the validity of C36-UA on density, heat of vaporization, and liquid self-diffusion constants. Then, simulations using C36-UA resulted in accurate properties (surface area per lipid, X-ray and neutron form factors, and chain order parameters) of various saturated- and unsaturated-chain bilayers. When mixed with the all-atom cholesterol model and tested with a series of 1,2-dimyristoyl-sn-glycero-3-phosphocholine (DMPC)/cholesterol mixtures, the C36-UA model performed well. Simulations of self-assembly of a surfactant (dodecylphosphocholine, DPC) using C36-UA suggest an aggregation number of 53 ± 11 DPC molecules at 0.45 M of DPC, which agrees well with experimental estimates. Therefore, the C36-UA force field offers a useful alternative to the all-atom C36 lipid force field by requiring less computational cost while still maintaining the same level of accuracy, which may prove useful for large systems with proteins.

  12. The Urgent Need for Improved Climate Models and Predictions

    Science.gov (United States)

    Goddard, Lisa; Baethgen, Walter; Kirtman, Ben; Meehl, Gerald

    2009-09-01

    An investment over the next 10 years of the order of US$2 billion for developing improved climate models was recommended in a report (http://wcrp.wmo.int/documents/WCRP_WorldModellingSummit_Jan2009.pdf) from the May 2008 World Modelling Summit for Climate Prediction, held in Reading, United Kingdom, and presented by the World Climate Research Programme. The report indicated that “climate models will, as in the past, play an important, and perhaps central, role in guiding the trillion dollar decisions that the peoples, governments and industries of the world will be making to cope with the consequences of changing climate.” If trillions of dollars are going to be invested in making decisions related to climate impacts, an investment of $2 billion, which is less than 0.1% of that amount, to provide better climate information seems prudent. One example of investment in adaptation is the World Bank's Climate Investment Fund, which has drawn contributions of more than $6 billion for work on clean technologies and adaptation efforts in nine pilot countries and two pilot regions. This is just the beginning of expenditures on adaptation efforts by the World Bank and other mechanisms, focusing on only a small fraction of the nations of the world and primarily aimed at anticipated anthropogenic climate change. Moreover, decisions are being made now, all around the world—by individuals, companies, and governments—that affect people and their livelihoods today, not just 50 or more years in the future. Climate risk management, whether related to projects of the scope of the World Bank's or to the planning and decisions of municipalities, will be best guided by meaningful climate information derived from observations of the past and model predictions of the future.

  13. An Improved Model for the Turbulent PBL

    Science.gov (United States)

    Cheng, Y.; Canuto, V. M.; Howard, A. M.; Hansen, James E. (Technical Monitor)

    2001-01-01

    Second order turbulence models of the Mellor and Yamada type have been widely used to simulate the PBL. It is however known that these models have several deficiencies. For example, they all predict a critical Richardson number which is about four times smaller than the Large Eddy Simulation (LES) data, they are unable to match the surface data, and they predict a boundary layer height lower than expected. In the present model, we show that these difficulties are all overcome by a single new physical input: the use of the most complete expression for both the pressure-velocity and the pressure-temperature correlations presently available. Each of the new terms represents a physical process that, was not accounted for by previous models. The new model is presented in three different levels according to Mellor and Yamada's terminology, with new, ready-to-use expressions for the turbulent, moments. We show that the new model reproduces several experimental and LES data better than previous models. As far as the PBL is concerned, we show that the model reproduces both the Kansas data as analyzed by Businger et al. in the context of Monin-Obukhov similarity theory for smaller Richardson numbers, as well as the LES and laboratory data up to Richardson numbers of order unity. We also show that the model yields a higher PBL height than the previous models.

  14. Simple improvements to classical bubble nucleation models

    CERN Document Server

    Tanaka, Kyoko K; Angélil, Raymond; Diemand, Jürg

    2015-01-01

    We revisit classical nucleation theory (CNT) for the homogeneous bubble nucleation rate and improve the classical formula using a new prefactor in the nucleation rate. Most of the previous theoretical studies have used the constant prefactor determined by the bubble growth due to the evaporation process from the bubble surface. However, the growth of bubbles is also regulated by the thermal conduction, the viscosity, and the inertia of liquid motion. These effects can decrease the prefactor significantly, especially when the liquid pressure is much smaller than the equilibrium one. The deviation in the nucleation rate between the improved formula and the CNT can be as large as several orders of magnitude. Our improved, accurate prefactor and recent advances in molecular dynamics simulations and laboratory experiments for argon bubble nucleation enable us to precisely constrain the free energy barrier for bubble nucleation. Assuming the correction to the CNT free energy is of the functional form suggested by T...

  15. Improving the physiological realism of experimental models

    NARCIS (Netherlands)

    Vinnakota, Kalyan C.; Cha, Chae Y.; Rorsman, Patrik; Balaban, Robert S.; La Gerche, Andre; Wade-Martins, Richard; Beard, Daniel A.; Jeneson, Jeroen A. L.

    The Virtual Physiological Human (VPH) project aims to develop integrative, explanatory and predictive computational models (C-Models) as numerical investigational tools to study disease, identify and design effective therapies and provide an in silico platform for drug screening. Ultimately, these

  16. Improving Environmental Model Calibration and Prediction

    Science.gov (United States)

    2011-01-18

    groundwater model calibration. Adv. Water Resour., 29(4):605–623, 2006. [9] B.E. Skahill, J.S. Baggett, S. Frankenstein , and C.W. Downer. More efficient...of Hydrology, Environmental Modelling & Software, or Water Resources Research). Skahill, B., Baggett, J., Frankenstein , S., and Downer, C.W. (2009

  17. Improving the physiological realism of experimental models

    NARCIS (Netherlands)

    Vinnakota, Kalyan C.; Cha, Chae Y.; Rorsman, Patrik; Balaban, Robert S.; La Gerche, Andre; Wade-Martins, Richard; Beard, Daniel A.; Jeneson, Jeroen A. L.

    2016-01-01

    The Virtual Physiological Human (VPH) project aims to develop integrative, explanatory and predictive computational models (C-Models) as numerical investigational tools to study disease, identify and design effective therapies and provide an in silico platform for drug screening. Ultimately, these m

  18. Object-Oriented Approach to Modeling Units of Pneumatic Systems

    Directory of Open Access Journals (Sweden)

    Yu. V. Kyurdzhiev

    2014-01-01

    Full Text Available The article shows the relevance of the approaches to the object-oriented programming when modeling the pneumatic units (PU.Based on the analysis of the calculation schemes of aggregates pneumatic systems two basic objects, namely a cavity flow and a material point were highlighted.Basic interactions of objects are defined. Cavity-cavity interaction: ex-change of matter and energy with the flows of mass. Cavity-point interaction: force interaction, exchange of energy in the form of operation. Point-point in-teraction: force interaction, elastic interaction, inelastic interaction, and inter-vals of displacement.The authors have developed mathematical models of basic objects and interactions. Models and interaction of elements are implemented in the object-oriented programming.Mathematical models of elements of PU design scheme are implemented in derived from the base class. These classes implement the models of flow cavity, piston, diaphragm, short channel, diaphragm to be open by a given law, spring, bellows, elastic collision, inelastic collision, friction, PU stages with a limited movement, etc.A numerical integration of differential equations for the mathematical models of PU design scheme elements is based on the Runge-Kutta method of the fourth order. On request each class performs a tact of integration i.e. calcu-lation of the coefficient method.The paper presents an integration algorithm of the system of differential equations. All objects of the PU design scheme are placed in a unidirectional class list. Iterator loop cycle initiates the integration tact of all the objects in the list. One in four iteration makes a transition to the next step of integration. Calculation process stops when any object shows a shutdowns flag.The proposed approach was tested in the calculation of a number of PU designs. With regard to traditional approaches to modeling, the authors-proposed method features in easy enhancement, code reuse, high reliability

  19. Optimal oppor tunistic maintenance model of multi-unit systems

    Institute of Scientific and Technical Information of China (English)

    Zhijun Cheng; Zheng Yang; Bo Guo

    2013-01-01

    An opportunistic maintenance model is presented for a continuously deteriorating series system with economical de-pendence. The system consists of two kinds of units, which are respectively subjected to the deterioration failure described by Gamma process and the random failure described by Poisson process. A two-level opportunistic policy defined by three decision parameters is proposed to coordinate the different maintenance actions and minimize the long-run maintenance cost rate of the system. A computable expression of the average cost rate is es-tablished by using the renewal property of the stochastic process of the maintained system state. The optimal values of three deci-sion parameters are derived by an iteration approach based on the characteristic of Gamma process. The behavior of the proposed policy is il ustrated through a numerical experiment. Comparative study with the widely used corrective maintenance policy demon-strates the advantage of the proposed opportunistic maintenance method in significantly reducing the maintenance cost. Simultane-ously, the applicable area of this opportunistic model is discussed by the sensitivity analysis of the set-up cost and random failure rate.

  20. A ranking efficiency unit by restrictions using DEA models

    Science.gov (United States)

    Arsad, Roslah; Abdullah, Mohammad Nasir; Alias, Suriana

    2014-12-01

    In this paper, a comparison regarding the efficiency shares of listed companies in Bursa Malaysia was made, through the application of estimation method of Data Envelopment Analysis (DEA). In this study, DEA is used to measure efficiency shares of listed companies in Bursa Malaysia in terms of the financial performance. It is believed that only good financial performer will give a good return to the investors in the long run. The main objectives were to compute the relative efficiency scores of the shares in Bursa Malaysia and rank the shares based on Balance Index with regard to relative efficiency. The methods of analysis using Alirezaee and Afsharian's model were employed to this study; where the originality of Charnes, Cooper and Rhode model (CCR) with assumption of constant return to scale (CRS) still holds. This method of ranking relative efficiency of decision making units (DMUs) was value-added by using Balance Index. From the result, the companies that were recommended for investors based on ranking were NATWIDE, YTL and MUDA. These companies were the top three efficient companies with good performance in 2011 whereas in 2012 the top three companies were NATWIDE, MUDA and BERNAS.

  1. Modeling of Glass Making Processes for Improved Efficiency

    Energy Technology Data Exchange (ETDEWEB)

    Thomas P. Seward III

    2003-03-31

    The overall goal of this project was to develop a high-temperature melt properties database with sufficient reliability to allow mathematical modeling of glass melting and forming processes for improved product quality, improved efficiency and lessened environmental impact. It was initiated by the United States glass industry through the NSF Industry/University Center for Glass Research (CGR) at Alfred University [1]. Because of their important commercial value, six different types/families of glass were studied: container, float, fiberglass (E- and wool-types), low-expansion borosilicate, and color TV panel glasses. CGR member companies supplied production-quality glass from all six families upon which we measured, as a function of temperature in the molten state, density, surface tension, viscosity, electrical resistivity, infrared transmittance (to determine high temperature radiative conductivity), non-Newtonian flow behavior, and oxygen partial pres sure. With CGR cost sharing, we also studied gas solubility and diffusivity in each of these glasses. Because knowledge of the compositional dependencies of melt viscosity and electrical resistivity are extremely important for glass melting furnace design and operation, these properties were studied more fully. Composition variations were statistically designed for all six types/families of glass. About 140 different glasses were then melted on a laboratory scale and their viscosity and electrical resistivity measured as a function of temperature. The measurements were completed in February 2003 and are reported on here. The next steps will be (1) to statistically analyze the compositional dependencies of viscosity and electrical resistivity and develop composition-property response surfaces, (2) submit all the data to CGR member companies to evaluate the usefulness in their models, and (3) publish the results in technical journals and most likely in book form.

  2. Improvements on Mean Free Wave Surface Modeling

    Institute of Scientific and Technical Information of China (English)

    董国海; 滕斌; 程亮

    2002-01-01

    Some new results of the modeling of mean free surface of waves or wave set-up are presented. The stream function wave theory is applied to incident short waves. The limiting wave steepness is adopted as the wave breaker index in the calculation of wave breaking dissipation. The model is based on Roelvink (1993), but the numerical techniques used in the solution are based on the Weighted-Average Flux (WAF) method (Watson et al., 1992), with Time-Operator-Splitting (TOS) used for the treatment of the source terms. This method allows a small number of computational points to be used, and is particularly efficient in modeling wave set-up. The short wave (or incident primary wave) energy equation issolved by use of a traditional Lax-Wendroff technique. The present model is found to be satisfactory compared with the measurements conducted by Stive (1983).

  3. Handling geophysical flows: Numerical modelling using Graphical Processing Units

    Science.gov (United States)

    Garcia-Navarro, Pilar; Lacasta, Asier; Juez, Carmelo; Morales-Hernandez, Mario

    2016-04-01

    Computational tools may help engineers in the assessment of sediment transport during the decision-making processes. The main requirements are that the numerical results have to be accurate and simulation models must be fast. The present work is based on the 2D shallow water equations in combination with the 2D Exner equation [1]. The resulting numerical model accuracy was already discussed in previous work. Regarding the speed of the computation, the Exner equation slows down the already costly 2D shallow water model as the number of variables to solve is increased and the numerical stability is more restrictive. On the other hand, the movement of poorly sorted material over steep areas constitutes a hazardous environmental problem. Computational tools help in the predictions of such landslides [2]. In order to overcome this problem, this work proposes the use of Graphical Processing Units (GPUs) for decreasing significantly the simulation time [3, 4]. The numerical scheme implemented in GPU is based on a finite volume scheme. The mathematical model and the numerical implementation are compared against experimental and field data. In addition, the computational times obtained with the Graphical Hardware technology are compared against Single-Core (sequential) and Multi-Core (parallel) CPU implementations. References [Juez et al.(2014)] Juez, C., Murillo, J., & Garca-Navarro, P. (2014) A 2D weakly-coupled and efficient numerical model for transient shallow flow and movable bed. Advances in Water Resources. 71 93-109. [Juez et al.(2013)] Juez, C., Murillo, J., & Garca-Navarro, P. (2013) . 2D simulation of granular flow over irregular steep slopes using global and local coordinates. Journal of Computational Physics. 225 166-204. [Lacasta et al.(2014)] Lacasta, A., Morales-Hernndez, M., Murillo, J., & Garca-Navarro, P. (2014) An optimized GPU implementation of a 2D free surface simulation model on unstructured meshes Advances in Engineering Software. 78 1-15. [Lacasta

  4. IMPROVEMENT OF FLUID PIPE LUMPED PARAMETER MODEL

    Institute of Scientific and Technical Information of China (English)

    Kong Xiaowu; Wei Jianhua; Qiu Minxiu; Wu Genmao

    2004-01-01

    The traditional lumped parameter model of fluid pipe is introduced and its drawbacks are pointed out.Furthermore, two suggestions are put forward to remove these drawbacks.Firstly, the structure of equivalent circuit is modified, and then the evaluation of equivalent fluid resistance is change to take the frequency-dependent friction into account.Both simulation and experiment prove that this model is precise to characterize the dynamic behaviors of fluid in pipe.

  5. A Model to Improve the Quality Products

    Directory of Open Access Journals (Sweden)

    Hasan GOKKAYA

    2010-08-01

    Full Text Available The topic of this paper is to present a solution who can improve product qualityfollowing the idea: “Unlike people who have verbal skills, machines use "sign language"to communicate what hurts or what has invaded their system’. Recognizing the "signs"or symptoms that the machine conveys is a required skill for those who work withmachines and are responsible for their care and feeding. The acoustic behavior of technical products is predominantly defined in the design stage, although the acoustic characteristics of machine structures can be analyze and give a solution for the actual products and create a new generation of products. The paper describes the steps intechnological process for a product and the solution who will reduce the costs with the non-quality of product and improve the management quality.

  6. Quality Service Analysis and Improvement of Pharmacy Unit of XYZ Hospital Using Value Stream Analysis Methodology

    Science.gov (United States)

    Jonny; Nasution, Januar

    2013-06-01

    Value stream mapping is a tool which is needed to let the business leader of XYZ Hospital to see what is actually happening in its business process that have caused longer lead time for self-produced medicines in its pharmacy unit. This problem has triggered many complaints filed by patients. After deploying this tool, the team has come up with the fact that in processing the medicine, pharmacy unit does not have any storage and capsule packing tool and this condition has caused many wasting times in its process. Therefore, the team has proposed to the business leader to procure the required tools in order to shorten its process. This research has resulted in shortened lead time from 45 minutes to 30 minutes as required by the government through Indonesian health ministry with increased %VA (valued added activity) or Process Cycle Efficiency (PCE) from 66% to 68% (considered lean because it is upper than required 30%). This result has proved that the process effectiveness has been increase by the improvement.

  7. A Suggested Approach to Simplify and Improve Cervical Screening in the United States.

    Science.gov (United States)

    Schiffman, Mark; Wentzensen, Nicolas

    2016-01-01

    Cervical cancer prevention strategies in the United States have become complicated and even controversial, despite advanced understanding of carcinogenic human papillomavirus (HPV) infection as the necessary causal agent. Twenty years ago, etiologic and methodologic studies had already yielded 2 powerful preventive approaches. There are excellent vaccines to prevent the most carcinogenic types of HPV infection; reduced HPV endemicity will ultimately prevent a large fraction of cervical precancer and cancers. For prevention of cervical cancer in the interim, sensitive HPV tests that target women at risk of cancer, by detection of the DNA/RNA of approximately a dozen carcinogenic HPV types, permit early diagnosis and treatment of precancers.Although HPV vaccines and tests have continued to improve, implementation of these new HPV-based prevention methods has been relatively slow in the United States and in most places worldwide. Increasing vaccination rates is the clearest and most vital long-term priority. But, for decades to come, screening will also be important. To promote useful discussion, this commentary will raise some current critical issues in simplifying and speeding the rational introduction of HPV molecular methods into US cervical screening.

  8. RCGVS design improvement and depressurization capability tests for Ulchin nuclear power plant units 3 and 4

    Energy Technology Data Exchange (ETDEWEB)

    Sung, Kang Sik; Seong, Ho Je; Jeong, Won Sang; Seo, Jong Tae; Lee, Sang Keun [Korea Power Engineering Company, Inc., Seoul (Korea, Republic of); Lim, Keun Hyo; Choi, Kwon Sik; Oh, Chul Sung [Korea Electric Power Cooperation, Taejon (Korea, Republic of)

    1998-12-31

    The Reactor Coolant Gas Vent System(RCGVS) design for Ulchin Nuclear Power Plant Units 3 and 4 (UCN 3 and 4) has been improved from the Yonggwang Nuclear Power Plant Units 3 and 4 (YGN 3 and 4) based on the evaluation results for depressurization capability tests performed at YGN 3 and 4. There has been a series of plant safety analyses for Natural Circulation Cooldown(NCC) event and thermo-dynamic analyses with RELAP5 code for the steam blowdown phenomena in order to optimize the orifice size of UCN 3 and 4 RCGVS. Based on these analyses results, the RCGVS orifics size for UCN 3 and 4 has been reduced to 9/32 inch from the 11/32 inch for YGN 3 and 4. The depressurization capability tests, which were performed at UCN 3 in order to verify the FSAR NCC analysis results, show that the RCGVS depressurization rates are being within the acceptable ranges. Therefore, it is concluded that the orificed flow path of UCN 3 and 4 RCGVS is adequately designed, and can provide the safety-grade depressurization capability required for a safe plant operation. 6 refs., 5 figs., 1 tab. (Author)

  9. Withholding or withdrawing therapy in intensive care units: improving interdisciplinary cooperation

    DEFF Research Database (Denmark)

    Jensen, Hanne Irene; Ammentorp, Jette; Ørding, Helle

    and profit of the audits were evaluated in writing at the end of the sessions and by a short questionnaire three months later. RESULTS. In all three audits the discussions were engaged. In the immediate evaluation 61% assessed this type of audit as “To a great extent” usable to promote interdisciplinary......INTRODUCTION. Decisions regarding withholding or withdrawing therapy are common in the intensive care units. The health care professionals involved in the decision-making process do not always assess the situation identically, leading to potential conflicts. Studies have suggested that improving......) where withholding and withdrawing therapy decisions had been made. The participants were first asked to assess the cases and subsequently, based on the discussions, to formulate quality goals for withholding and withdrawing therapy decision-making, cooperation and care for patients and relatives. Form...

  10. A Model to Improve the Quality Products

    OpenAIRE

    2010-01-01

    The topic of this paper is to present a solution who can improve product quality following the idea: “Unlike people who have verbal skills, machines use "sign language" to communicate what hurts or what has invaded their system’. Recognizing the "signs" or symptoms that the machine conveys is a required skill for those who work with machines and are responsible for their care and feeding. The acoustic behavior of technical products is predominantly defined in the design stage, although the ac...

  11. Improvement of snowpack simulations in a regional climate model

    Energy Technology Data Exchange (ETDEWEB)

    Jin, J.; Miller, N.L.

    2011-01-10

    To improve simulations of regional-scale snow processes and related cold-season hydroclimate, the Community Land Model version 3 (CLM3), developed by the National Center for Atmospheric Research (NCAR), was coupled with the Pennsylvania State University/NCAR fifth-generation Mesoscale Model (MM5). CLM3 physically describes the mass and heat transfer within the snowpack using five snow layers that include liquid water and solid ice. The coupled MM5–CLM3 model performance was evaluated for the snowmelt season in the Columbia River Basin in the Pacific Northwestern United States using gridded temperature and precipitation observations, along with station observations. The results from MM5–CLM3 show a significant improvement in the SWE simulation, which has been underestimated in the original version of MM5 coupled with the Noah land-surface model. One important cause for the underestimated SWE in Noah is its unrealistic land-surface structure configuration where vegetation, snow and the topsoil layer are blended when snow is present. This study demonstrates the importance of the sheltering effects of the forest canopy on snow surface energy budgets, which is included in CLM3. Such effects are further seen in the simulations of surface air temperature and precipitation in regional weather and climate models such as MM5. In addition, the snow-season surface albedo overestimated by MM5–Noah is now more accurately predicted by MM5–CLM3 using a more realistic albedo algorithm that intensifies the solar radiation absorption on the land surface, reducing the strong near-surface cold bias in MM5–Noah. The cold bias is further alleviated due to a slower snowmelt rate in MM5–CLM3 during the early snowmelt stage, which is closer to observations than the comparable components of MM5–Noah. In addition, the over-predicted precipitation in the Pacific Northwest as shown in MM5–Noah is significantly decreased in MM5 CLM3 due to the lower evaporation resulting from the

  12. Identifying, highlighting and reducing polypharmacy in a UK hospice inpatient unit using improvement Science methods

    Science.gov (United States)

    Phippen, Alison; Pickard, Jennie; Steinke, Douglas; Cope, Matt; Roberts, Dai

    2017-01-01

    Polypharmacy, the concurrent use of multiple medications by one individual is a growing global issue driven by an ageing population and increasing prevalence of multi-morbidity[1]. Polypharmacy can be problematic: interactions between medications, reduced adherence to medication, burden of medication to patients, administration time, increased risk of errors and increased cost. Quality improvement methods were applied to identify and highlight polypharmacy patients with the aim of reducing their average number of regular tablets/capsules per day by 25%. The project was delivered within a UK based 27 bedded hospice inpatient unit. A series of PDSA cycles studied interventions focusing on the identification of patients with polypharmacy, the highlighting of these patients to prescribers for review and the views of patients about their medication. For the purposes of the study, polypharmacy was defined as greater than ten regular medicines and/or greater than twenty regular tablets/capsules each day. The interventions tested included patients on regular paracetamol and strong opioids being offered a trial without regular paracetamol, a constipation guide promoting the use of combination laxatives, education of prescribers around dose strengths, checklist of recommendations was placed in case notes and a sticker was used on the medicine chart to highlight patients in need of polypharmacy review. The introduction of a trial without paracetamol and a laxative guide led to reductions in polypharmacy. The sticker and checklist were successful interventions for highlighting patients with polypharmacy. Quality improvement methods were used to plan, try, test and implement simple interventions for patients on the hospice inpatient unit. This has led to a 25% reduction in the average regular tablet/capsules burden , a 16% reduction in the average number of regular medications and a 30% reduction in the average volume of liquid medication per patient without an increase in the

  13. An Improved Data Model for Uncertain Data

    Directory of Open Access Journals (Sweden)

    Umar Hayat

    2016-01-01

    Full Text Available Uncertain data can be categorized as imprecise data and probabilistic data. In each of these categories, the uncertainty can be found at different granularity levels. Conventional data models are developed for the purpose of storing, manipulating and retrieving certain data. These data models do not extend their support for the management of uncertain data. Thus, a standalone data model is required aimed at storing, manipulating and retrieving certain as well as uncertain data. In this paper we introduce UDM relations, an uncertain data model for the management of uncertain data along with certain data. Vertical partitioning approach is used to translate an uncertain relation into UDM-relations. Our data model supports ALU (Attribute-Level Uncertainty as well as TLU (Tuple-Level Uncertainty for the finite sets of possible worlds. It follows the concept of standard relational database technology. With slight modifications to standard relational algebra operators, we have introduced four relational operators that are used to evaluate a query on UDM-relations.

  14. Viscoelastic Finite Difference Modeling Using Graphics Processing Units

    Science.gov (United States)

    Fabien-Ouellet, G.; Gloaguen, E.; Giroux, B.

    2014-12-01

    Full waveform seismic modeling requires a huge amount of computing power that still challenges today's technology. This limits the applicability of powerful processing approaches in seismic exploration like full-waveform inversion. This paper explores the use of Graphics Processing Units (GPU) to compute a time based finite-difference solution to the viscoelastic wave equation. The aim is to investigate whether the adoption of the GPU technology is susceptible to reduce significantly the computing time of simulations. The code presented herein is based on the freely accessible software of Bohlen (2002) in 2D provided under a General Public License (GNU) licence. This implementation is based on a second order centred differences scheme to approximate time differences and staggered grid schemes with centred difference of order 2, 4, 6, 8, and 12 for spatial derivatives. The code is fully parallel and is written using the Message Passing Interface (MPI), and it thus supports simulations of vast seismic models on a cluster of CPUs. To port the code from Bohlen (2002) on GPUs, the OpenCl framework was chosen for its ability to work on both CPUs and GPUs and its adoption by most of GPU manufacturers. In our implementation, OpenCL works in conjunction with MPI, which allows computations on a cluster of GPU for large-scale model simulations. We tested our code for model sizes between 1002 and 60002 elements. Comparison shows a decrease in computation time of more than two orders of magnitude between the GPU implementation run on a AMD Radeon HD 7950 and the CPU implementation run on a 2.26 GHz Intel Xeon Quad-Core. The speed-up varies depending on the order of the finite difference approximation and generally increases for higher orders. Increasing speed-ups are also obtained for increasing model size, which can be explained by kernel overheads and delays introduced by memory transfers to and from the GPU through the PCI-E bus. Those tests indicate that the GPU memory size

  15. A Step by Step Method to Improve the Performance of Decision Making Units

    Directory of Open Access Journals (Sweden)

    M. Izadikhah

    2015-03-01

    Full Text Available In this paper, we present the concept of context-dependent DEA based on the FDH model by introducing the FDH-attractiveness and FDH-progress for each DMU. By the presented method, not only we can improve the performance of inefficient DMUs, but we can find a target for improvement among the existing efficient DMUs. These targets are observed DMUs and are not some virtual points on the efficiency frontier. Also, the paper presents a step by step method to improve the performance of DMUs by measuring FDH-attractiveness and FDH-progress. One numerical example and a case study consists of 20 Iranian bank branches are given for illustration.

  16. An improved likelihood model for eye tracking

    DEFF Research Database (Denmark)

    Hammoud, Riad I.; Hansen, Dan Witzner

    2007-01-01

    approach in such cases is to abandon the tracking routine and re-initialize eye detection. Of course this may be a difficult process due to missed data problem. Accordingly, what is needed is an efficient method of reliably tracking a person's eyes between successively produced video image frames, even...... are challenging. It proposes a log likelihood-ratio function of foreground and background models in a particle filter-based eye tracking framework. It fuses key information from even, odd infrared fields (dark and bright-pupil) and their corresponding subtractive image into one single observation model...

  17. Evaluating Infection Prevention Strategies in Out-Patient Dialysis Units Using Agent-Based Modeling.

    Directory of Open Access Journals (Sweden)

    Joanna R Wares

    Full Text Available Patients receiving chronic hemodialysis (CHD are among the most vulnerable to infections caused by multidrug-resistant organisms (MDRO, which are associated with high rates of morbidity and mortality. Current guidelines to reduce transmission of MDRO in the out-patient dialysis unit are targeted at patients considered to be high-risk for transmitting these organisms: those with infected skin wounds not contained by a dressing, or those with fecal incontinence or uncontrolled diarrhea. Here, we hypothesize that targeting patients receiving antimicrobial treatment would more effectively reduce transmission and acquisition of MDRO. We also hypothesize that environmental contamination plays a role in the dissemination of MDRO in the dialysis unit. To address our hypotheses, we built an agent-based model to simulate different treatment strategies in a dialysis unit. Our results suggest that reducing antimicrobial treatment, either by reducing the number of patients receiving treatment or by reducing the duration of the treatment, markedly reduces overall colonization rates and also the levels of environmental contamination in the dialysis unit. Our results also suggest that improving the environmental decontamination efficacy between patient dialysis treatments is an effective method for reducing colonization and contamination rates. These findings have important implications for the development and implementation of future infection prevention strategies.

  18. Optimization of {sup 210}Po estimation in environmental samples using an improved deposition unit

    Energy Technology Data Exchange (ETDEWEB)

    Dubey, Jay Singh; Sahoo, Sunil Kumar; Mohapatra, Swagatika; Lenka, Pradyumna; Patra, Aditi Chakravarty; Thakur, Virender Kumar; Ravi, Pazhayath Mana; Tripathi, Raj Mangal [Bhabha Atomic Research Centre, Trombay, Mumbai (India). Health Physics Div.

    2015-06-01

    Measurement of {sup 210}Po in environmental matrices is important due to its very high specific activity, present in every compartment of the environment due to a daughter product of uranium ({sup 238}U), accumulative and highly toxic in nature. Conventional method for {sup 210}Po estimation is by auto-deposition onto both sides of a silver disc followed by alpha spectrometry of both the sides. A new deposition unit having the facility to hold the silver disc and magnetic stirring bar has designed and fabricated for {sup 210}Po estimation in which only one side is counted. In the conventional method, the total activity is distributed to the both sides of the silver disc and more counting time is required whereas in the improved deposition unit, only one side contain all the activity so that one time counting is required with better statistical significance. The same has been observed in spike recovery and water sample assessment. The tracer recovery in the conventional method was 72%-88% and 70%-85% whereas for the new deposition the recovery is 87%-99% and 78%-94% for spike recovery study and environmental samples, respectively. Certified tracers were analysed for the assurance of the reliability of the method and the results were in good agreement with the recommended value with a relative error <20%. The MDA of the method is 1.5 mBq for the estimation of {sup 210}Po at 3σ confidence level, 86400 s. counting time and 100 ml of water sample, taking the detector efficiency and chemical yield into consideration. The results obtained from both the methods were compared statistically. χ{sup 2} test, repeatability parameters, relative bias measurement and linearity test was performed for both the methods. The % difference between the two methods in terms of linearity is 0.2%. From the χ{sup 2} test it can be concluded that the measured data by two methods falls within 99% confidence interval. The modified deposition unit enhance the statistical significance, reduce

  19. A Conceptual Process Model for Improving Youth Science Comprehension

    Science.gov (United States)

    Skelton, Peter; Seevers, Brenda; Dormody, Tom; Hodnett, Frank

    2012-01-01

    Improving youth science comprehension in the United States is imperative to reverse current trends in student achievement and to meet an expected shortage of scientists in the future. This lag in achievement scores and need for future scientists is a problem. One challenge is to link inquiry-based learning and experiential education with…

  20. General Equilibrium Models: Improving the Microeconomics Classroom

    Science.gov (United States)

    Nicholson, Walter; Westhoff, Frank

    2009-01-01

    General equilibrium models now play important roles in many fields of economics including tax policy, environmental regulation, international trade, and economic development. The intermediate microeconomics classroom has not kept pace with these trends, however. Microeconomics textbooks primarily focus on the insights that can be drawn from the…

  1. Improving modeling with layered UML diagrams

    DEFF Research Database (Denmark)

    Störrle, Harald

    2013-01-01

    Layered diagrams are diagrams whose elements are organized into sets of layers. Layered diagrams are routinely used in many branches of engineering, except Software Engineering. In this paper, we propose to add layered diagrams to UML modeling tools, and elaborate the concept by exploring usage...

  2. Models for Evaluating and Improving Architecture Competence

    Science.gov (United States)

    2008-03-01

    to report on the second. We propose to use the duties from the DSK model to isolate the various aspects of the architect’s job. If we are auditing ...for Scenario Analysis.” Proceedings of the Fifth International Workshop on Product Family Engineering ( PFE -5). Sien- na, Italy, 2003, Springer

  3. Hybrid Modeling Improves Health and Performance Monitoring

    Science.gov (United States)

    2007-01-01

    Scientific Monitoring Inc. was awarded a Phase I Small Business Innovation Research (SBIR) project by NASA's Dryden Flight Research Center to create a new, simplified health-monitoring approach for flight vehicles and flight equipment. The project developed a hybrid physical model concept that provided a structured approach to simplifying complex design models for use in health monitoring, allowing the output or performance of the equipment to be compared to what the design models predicted, so that deterioration or impending failure could be detected before there would be an impact on the equipment's operational capability. Based on the original modeling technology, Scientific Monitoring released I-Trend, a commercial health- and performance-monitoring software product named for its intelligent trending, diagnostics, and prognostics capabilities, as part of the company's complete ICEMS (Intelligent Condition-based Equipment Management System) suite of monitoring and advanced alerting software. I-Trend uses the hybrid physical model to better characterize the nature of health or performance alarms that result in "no fault found" false alarms. Additionally, the use of physical principles helps I-Trend identify problems sooner. I-Trend technology is currently in use in several commercial aviation programs, and the U.S. Air Force recently tapped Scientific Monitoring to develop next-generation engine health-management software for monitoring its fleet of jet engines. Scientific Monitoring has continued the original NASA work, this time under a Phase III SBIR contract with a joint NASA-Pratt & Whitney aviation security program on propulsion-controlled aircraft under missile-damaged aircraft conditions.

  4. Improvement of core degradation model in ISAAC

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Dong Ha; Kim, See Darl; Park, Soo Yong

    2004-02-01

    If water inventory in the fuel channels depletes and fuel rods are exposed to steam after uncover in the pressure tube, the decay heat generated from fuel rods is transferred to the pressure tube and to the calandria tube by radiation, and finally to the moderator in the calandria tank by conduction. During this process, the cladding will be heated first and ballooned when the fuel gap internal pressure exceeds the primary system pressure. The pressure tube will be also ballooned and will touch the calandria tube, increasing heat transfer rate to the moderator. Although these situation is not desirable, the fuel channel is expected to maintain its integrity as long as the calandria tube is submerged in the moderator, because the decay heat could be removed to the moderator through radiation and conduction. Therefore, loss of coolant and moderator inside and outside the channel may cause severe core damage including horizontal fuel channel sagging and finally loss of channel integrity. The sagged channels contact with the channels located below and lose their heat transfer area to the moderator. As the accident goes further, the disintegrated fuel channels will be heated up and relocated onto the bottom of the calandria tank. If the temperature of these relocated materials is high enough to attack the calandria tank, the calandria tank would fail and molten material would contact with the calandria vault water. Steam explosion and/or rapid steam generation from this interaction may threaten containment integrity. Though a detailed model is required to simulate the severe accident at CANDU plants, complexity of phenomena itself and inner structures as well as lack of experimental data forces to choose a simple but reasonable model as the first step. ISAAC 1.0 was developed to model the basic physicochemical phenomena during the severe accident progression. At present, ISAAC 2.0 is being developed for accident management guide development and strategy evaluation. In

  5. Satellite NO2 data improve national land use regression models for ambient NO2 in a small densely populated country

    NARCIS (Netherlands)

    Hoek, Gerard; Eeftens, Marloes; Beelen, Rob; Fischer, Paul; Brunekreef, Bert; Boersma, K. Folkert; Veefkind, Pepijn

    2015-01-01

    Land use regression (LUR) modelling has increasingly been applied to model fine scale spatial variation of outdoor air pollutants including nitrogen dioxide (NO2). Satellite observations of tropospheric NO2 improved LUR model in very large study areas, including Canada, United States and Australia.

  6. Improved Approximations for Some Polymer Extension Models

    CERN Document Server

    Petrosyan, Rafayel

    2016-01-01

    We propose approximations for force-extension dependencies for the freely jointed chain (FJC) and worm-like chain (WLC) models as well as for extension-force dependence for the WLC model. Proposed expressions show less than 1% relative error in the useful range of the corresponding variables. These results can be applied for fitting force-extension curves obtained in molecular force spectroscopy experiments. Particularly they can be useful for cases where one has geometries of springs in series and/or in parallel where particular combination of expressions should be used for fitting the data. All approximations have been obtained following the same procedure of determining the asymptotes and then reducing the relative error of that expression by adding an appropriate term obtained from fitting its absolute error.

  7. Improving lognormal models for cosmological fields

    CERN Document Server

    Xavier, Henrique S; Joachimi, Benjamin

    2016-01-01

    It is common practice in cosmology to model large-scale structure observables as lognormal random fields, and this approach has been successfully applied in the past to the matter density and weak lensing convergence fields separately. We argue that this approach has fundamental limitations which prevent its use for jointly modelling these two fields since the lognormal distribution's shape can prevent certain correlations to be attainable. Given the need of ongoing and future large-scale structure surveys for fast joint simulations of clustering and weak lensing, we propose two ways of overcoming these limitations. The first approach slightly distorts the power spectra of the fields using one of two algorithms that minimises either the absolute or the fractional distortions. The second one is by obtaining more accurate convergence marginal distributions, for which we provide a fitting function, by integrating the lognormal density along the line of sight. The latter approach also provides a way to determine ...

  8. Improving randomness characterization through Bayesian model selection

    CERN Document Server

    R., Rafael Díaz-H; Martínez, Alí M Angulo; U'Ren, Alfred B; Hirsch, Jorge G; Marsili, Matteo; Castillo, Isaac Pérez

    2016-01-01

    Nowadays random number generation plays an essential role in technology with important applications in areas ranging from cryptography, which lies at the core of current communication protocols, to Monte Carlo methods, and other probabilistic algorithms. In this context, a crucial scientific endeavour is to develop effective methods that allow the characterization of random number generators. However, commonly employed methods either lack formality (e.g. the NIST test suite), or are inapplicable in principle (e.g. the characterization derived from the Algorithmic Theory of Information (ATI)). In this letter we present a novel method based on Bayesian model selection, which is both rigorous and effective, for characterizing randomness in a bit sequence. We derive analytic expressions for a model's likelihood which is then used to compute its posterior probability distribution. Our method proves to be more rigorous than NIST's suite and the Borel-Normality criterion and its implementation is straightforward. We...

  9. An improved network model for railway traffic

    Science.gov (United States)

    Li, Keping; Ma, Xin; Shao, Fubo

    In railway traffic, safety analysis is a key issue for controlling train operation. Here, the identification and order of key factors are very important. In this paper, a new network model is constructed for analyzing the railway safety, in which nodes are regarded as causation factors and links represent possible relationships among those factors. Our aim is to give all these nodes an importance order, and to find the in-depth relationship among these nodes including how failures spread among them. Based on the constructed network model, we propose a control method to ensure the safe state by setting each node a threshold. As the results, by protecting the Hub node of the constructed network, the spreading of railway accident can be controlled well. The efficiency of such a method is further tested with the help of numerical example.

  10. Improving Pulsar Distances by Modelling Interstellar Scattering

    CERN Document Server

    Deshpande, A A

    1998-01-01

    We present here a method to study the distribution of electron density fluctuations in pulsar directions as well as to estimate pulsar distances. The method, based on a simple two-component model of the scattering medium discussed by Gwinn et al. (1993), uses scintillation & proper motion data in addition to the measurements of angular broadening & temporal broadening to solve for the model parameters, namely, the fractional distance to a discrete scatterer and the ascociated relative scattering strength. We show how this method can be used to estimate pulsar distances reliably, when the location of a discrete scatterer (e.g. an HII region), if any, is known. Considering the specific example of PSR B0736-40, we illustrate how a simple characterization of the Gum nebula region (using the data on the Vela pulsar) is possible and can be used along with the temporal broadening measurements to estimate pulsar distances.

  11. An Improved MUSIC Model for Gibbsite Surfaces

    Energy Technology Data Exchange (ETDEWEB)

    Mitchell, Scott C.; Bickmore, Barry R.; Tadanier, Christopher J.; Rosso, Kevin M.

    2004-06-01

    Here we use gibbsite as a model system with which to test a recently published, bond-valence method for predicting intrinsic pKa values for surface functional groups on oxides. At issue is whether the method is adequate when valence parameters for the functional groups are derived from ab initio structure optimization of surfaces terminated by vacuum. If not, ab initio molecular dynamics (AIMD) simulations of solvated surfaces (which are much more computationally expensive) will have to be used. To do this, we had to evaluate extant gibbsite potentiometric titration data that where some estimate of edge and basal surface area was available. Applying BET and recently developed atomic force microscopy methods, we found that most of these data sets were flawed, in that their surface area estimates were probably wrong. Similarly, there may have been problems with many of the titration procedures. However, one data set was adequate on both counts, and we applied our method of surface pKa int prediction to fitting a MUSIC model to this data with considerable success—several features of the titration data were predicted well. However, the model fit was certainly not perfect, and we experienced some difficulties optimizing highly charged, vacuum-terminated surfaces. Therefore, we conclude that we probably need to do AIMD simulations of solvated surfaces to adequately predict intrinsic pKa values for surface functional groups.

  12. Performance Improvement/HPT Model: Guiding the Process

    Science.gov (United States)

    Dessinger, Joan Conway; Moseley, James L.; Van Tiem, Darlene M.

    2012-01-01

    This commentary is part of an ongoing dialogue that began in the October 2011 special issue of "Performance Improvement"--Exploring a Universal Performance Model for HPT: Notes From the Field. The performance improvement/HPT (human performance technology) model represents a unifying process that helps accomplish successful change, create…

  13. Development of Improved Dynamic Failure Models.

    Science.gov (United States)

    1985-02-15

    anisotropic yielding, and Bauschinger effect observed in to,- VI-3 & .... experiments of Naghdi et al.8 Bazant has recently begun formulation of a r...Plasticity," J. Appl. Mech. 25 201-209 (1958). 9. Z. P. Bazant and B. R. Oh, "Hicroplane Model for Fracture Analysis of Concrete Structures," Proceedings of...Yield Criteria and Flow Rules for Porous Ductile Media," J. Engin. Materials and Tech., Trans. of ASHE, Jan . 1977, pp. 2-15. VIII-29 e7 . . -4

  14. QUALITY IMPROVEMENT MODEL AT THE MANUFACTURING PROCESS PREPARATION LEVEL

    Directory of Open Access Journals (Sweden)

    Dusko Pavletic

    2009-12-01

    Full Text Available The paper expresses base for an operational quality improvement model at the manufacturing process preparation level. A numerous appropriate related quality assurance and improvement methods and tools are identified. Main manufacturing process principles are investigated in order to scrutinize one general model of manufacturing process and to define a manufacturing process preparation level. Development and introduction of the operational quality improvement model is based on a research conducted and results of methods and tools application possibilities in real manufacturing processes shipbuilding and automotive industry. Basic model structure is described and presented by appropriate general algorithm. Operational quality improvement model developed lays down main guidelines for practical and systematic application of quality improvements methods and tools.

  15. Precast concrete unit assessment through GPR survey and FDTD modelling

    Science.gov (United States)

    Campo, Davide

    2017-04-01

    Precast concrete elements are widely used within United Kingdom house building offering ease in assembly and added values as structural integrity, sound and thermal insulation; most common concrete components include walls, beams, floors, panels, lintels, stairs, etc. The lack of respect of the manufacturer instruction during assembling, however, may induce cracking and short/long term loss of bearing capacity. GPR is a well-established not destructive technique employed in the assessment of structural elements because of real-time imaging, quickness of data collecting and ability to discriminate finest structural details. In this work, GPR has been used to investigate two different precast elements: precast reinforced concrete planks constituting the roof slab of a school and precast wood-cement blocks with insulation material pre-fitted used to build a perimeter wall of a private building. Visible cracks affected both constructions. For the assessment surveys, a GSSI 2.0 GHz GPR antenna has been used because of the high resolution required and the small size of the antenna case (155 by 90 by 105mm) enabling scanning up to 45mm from any obstruction. Finite Difference Time Domain (FDTD) numerical modelling was also performed to build a scenario of the expected GPR signal response for a preliminary real-time interpretation and to help solve uncertainties due to complex reflection patterns: simulated radargrams were built using Reflex Software v. 8.2, reproducing the same GPR pulse used for the surveys in terms of wavelet, nominal frequency, sample frequency and time window. Model geometries were derived from the design projects available both for the planks and the blocks; the electromagnetic properties of the materials (concrete, reinforcing bars, air-filled void, insulation and wooden concrete) were inferred from both values reported in literature and a preliminary interpretation of radargrams where internal layer interfaces were clearly recognizable and

  16. Improving a Mars photochemical model with thermodynamics

    Science.gov (United States)

    Delgado-Bonal, A.; Martin-Torres, F. J.; Simoncini, E.

    2012-12-01

    Different conditions of temperature and pressure drive the chemistry of a planetary atmosphere to different steady states. However, the different thermodynamic conditions are not considered in many studies about the abundance of liquid water, methane or other important compounds called sometimes biomarkers, leading to wrong calculations. We have adapted a photochemical model for Mars atmosphere [1] to the proper thermodynamical conditions and coupled it with realistic profiles of Temperature and Pressure previously calculated with PRAMS GCM. As we have shown previously [2], the influence of T,P and molar fraction in the Gibbs Free Energy calculations and therefore in the kinetics of the gases in a planetary atmosphere has a huge influence in the final steady state and concentrations. The study is applied to different compounds and determine their abundance with real Mars conditions. The existence and reactivity of liquid water on Mars is highly linked with the presence of other compounds in the atmosphere such as Ozone, OH or CH4, and the determination of those also require the thermodynamical studies. [1 ] Franck Lefèvre and François Forget. Observed variations of methane on Mars unexplained by known atmospheric chemistry and physics. Nature 460, 720-723 (6 August 2009) [2] Simoncini E., Delgado-Bonal A., Martin-Torres F.J., Accounting thermodynamic conditions in chemical models of planetary atmospheres. Submitted to Astrophysical Journal.

  17. An Improved Walk Model for Train Movement on Railway Network

    Institute of Scientific and Technical Information of China (English)

    LI Ke-Ping; MAO Bo-Hua; GAO Zi-You

    2009-01-01

    In this paper, we propose an improved walk model for simulating the train movement on railway network. In the proposed method, walkers represent trains. The improved walk model is a kind of the network-based simulation analysis model. Using some management rules for walker movement, walker can dynamically determine its departure and arrival times at stations. In order to test the proposed method, we simulate the train movement on a part of railway network. The numerical simulation and analytical results demonstrate that the improved model is an effective tool for simulating the train movement on railway network. Moreover, it can well capture the characteristic behaviors of train scheduling in railway traffic.

  18. Speaker identification for the improvement of the security communication between law enforcement units

    Science.gov (United States)

    Tovarek, Jaromir; Partila, Pavol

    2017-05-01

    This article discusses the speaker identification for the improvement of the security communication between law enforcement units. The main task of this research was to develop the text-independent speaker identification system which can be used for real-time recognition. This system is designed for identification in the open set. It means that the unknown speaker can be anyone. Communication itself is secured, but we have to check the authorization of the communication parties. We have to decide if the unknown speaker is the authorized for the given action. The calls are recorded by IP telephony server and then these recordings are evaluate using classification If the system evaluates that the speaker is not authorized, it sends a warning message to the administrator. This message can detect, for example a stolen phone or other unusual situation. The administrator then performs the appropriate actions. Our novel proposal system uses multilayer neural network for classification and it consists of three layers (input layer, hidden layer, and output layer). A number of neurons in input layer corresponds with the length of speech features. Output layer then represents classified speakers. Artificial Neural Network classifies speech signal frame by frame, but the final decision is done over the complete record. This rule substantially increases accuracy of the classification. Input data for the neural network are a thirteen Mel-frequency cepstral coefficients, which describe the behavior of the vocal tract. These parameters are the most used for speaker recognition. Parameters for training, testing and validation were extracted from recordings of authorized users. Recording conditions for training data correspond with the real traffic of the system (sampling frequency, bit rate). The main benefit of the research is the system developed for text-independent speaker identification which is applied to secure communication between law enforcement units.

  19. Predictive modeling by the cerebellum improves proprioception.

    Science.gov (United States)

    Bhanpuri, Nasir H; Okamura, Allison M; Bastian, Amy J

    2013-09-04

    Because sensation is delayed, real-time movement control requires not just sensing, but also predicting limb position, a function hypothesized for the cerebellum. Such cerebellar predictions could contribute to perception of limb position (i.e., proprioception), particularly when a person actively moves the limb. Here we show that human cerebellar patients have proprioceptive deficits compared with controls during active movement, but not when the arm is moved passively. Furthermore, when healthy subjects move in a force field with unpredictable dynamics, they have active proprioceptive deficits similar to cerebellar patients. Therefore, muscle activity alone is likely insufficient to enhance proprioception and predictability (i.e., an internal model of the body and environment) is important for active movement to benefit proprioception. We conclude that cerebellar patients have an active proprioceptive deficit consistent with disrupted movement prediction rather than an inability to generally enhance peripheral proprioceptive signals during action and suggest that active proprioceptive deficits should be considered a fundamental cerebellar impairment of clinical importance.

  20. IMPROVE THE KINETIC PERFORMANCE OF THE PUMP CONTROLLED CLAMPING UNIT IN PLASTIC INJECTION MOLDING MACHINE WITH ADAPTIVE CONTROL STRATEGY

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    The kinetic characteristics of the clamping unit of plastic injection molding machine that is controlled by close loop with newly developed double speed variable pump unit are investigated.Considering the wide variation of the cylinder equivalent mass caused by the transmission ratio of clamping unit and the severe instantaneous impact force acted on the cylinder during the mold closing and opening process, an adaptive control principle of parameter and structure is proposed to improve its kinetic performance. The adaptive correlation between the acceleration feedback gain and the variable mass is derived. The pressure differential feedback is introduced to improve the dynamic performance in the case of small inertia and heavy impact load. The adaptation of sum pressure to load is used to reduce the energy loss of the system. The research results are verified by the simulation and experiment. The investigation method and the conclusions are also suitable for the differential cylinder system controlled by the traditional servo pump unit.

  1. Improvements on the ice cloud modeling capabilities of the Community Radiative Transfer Model

    Science.gov (United States)

    Yi, Bingqi; Yang, Ping; Liu, Quanhua; Delst, Paul; Boukabara, Sid-Ahmed; Weng, Fuzhong

    2016-11-01

    Noticeable improvements on the ice cloud modeling capabilities of the Community Radiative Transfer Model (CRTM) are reported, which are based on the most recent advances in understanding ice cloud microphysical (particularly, ice particle habit/shape characteristics) and optical properties. The new CRTM ice cloud model is derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) collection 6 ice cloud habit model, which represents ice particles as severely roughened hexagonal ice column aggregates with a gamma size distribution. The single-scattering properties of the new ice particle model are derived from a state-of-the-art ice optical property library and are constructed as look-up tables for rapid CRTM computations. Various sensitivity studies concerning instrument-specific applications and simulations are performed to validate CRTM against satellite observations. In particular, radiances in a spectral region covering the infrared wavelengths are simulated. Comparisons of brightness temperatures between CRTM simulations and observations (from MODIS, the Atmospheric Infrared Sounder, and the Advanced Microwave Sounding Unit) show that the new ice cloud optical property look-up table substantially enhances the performance of the CRTM under ice cloud conditions.

  2. The Holistic Leadership Model and the Nurse Unit Manager ...

    African Journals Online (AJOL)

    1Neonatal intensive care unit at Rwanda Military Hospital. 2University of ... Keywords: Nurse; nursing practice; leadership; management; caring; competencies; holistic nursing ... indicators of a profession's advancement or lack thereof.

  3. Reducing patient wait times and improving resource utilization at British Columbia Cancer Agency's ambulatory care unit through simulation.

    Science.gov (United States)

    Santibáñez, Pablo; Chow, Vincent S; French, John; Puterman, Martin L; Tyldesley, Scott

    2009-12-01

    We consider an ambulatory care unit (ACU) in a large cancer centre, where operational and resource utilization challenges led to overcrowding, excessive delays, and concerns regarding safety of critical patient care duties. We use simulation to analyze the simultaneous impact of operations, scheduling, and resource allocation on patient wait time, clinic overtime, and resource utilization. The impact of these factors has been studied before, but usually in isolation. Further, our model considers multiple clinics operating concurrently, and includes the extra burden of training residents and medical students during patient consults. Through scenario analyses we found that the best outcomes were obtained when not one but multiple changes were implemented simultaneously. We developed configurations that achieve a reduction of up to 70% in patient wait times and 25% in physical space requirements, with the same appointment volume. The key findings of the study are the importance of on time clinic start, the need for improved patient scheduling; and the potential improvements from allocating examination rooms flexibly and dynamically among individual clinics within each of the oncology programs. These findings are currently being evaluated for implementation by senior management.

  4. Improving medical student intensive care unit communication skills: a novel educational initiative using standardized family members.

    Science.gov (United States)

    Lorin, Scott; Rho, Lisa; Wisnivesky, Juan P; Nierman, David M

    2006-09-01

    To determine whether intensive care unit (ICU) communication skills of fourth-year medical students could be improved by an educational intervention using a standardized family member. Prospective study conducted from August 2003 to May 2004. Tertiary care university teaching hospital. All fourth-year students were eligible to participate during their mandatory four-week critical care medicine clerkship. The educational intervention focused on the initial meeting with the family member of an ICU patient and included formal teaching of a communication framework followed by a practice session with an actor playing the role of a standardized family member of a fictional patient. At the beginning of the critical care medicine rotation, the intervention group received the educational session, whereas students in the control group did not. At the end of each critical care medicine rotation, all students interacted with a different standardized family member portraying a different fictional scenario. Sessions were videotaped and were scored by an investigator blinded to treatment assignment using a standardized grading tool across four domains: a) introduction; b) gathering information; c) imparting information; and d) setting goals and expectations. A total of 106 (97% of eligible) medical students agreed to participate in the study. The total mean score as well as the scores for the gathering information, imparting information, setting goals, and expectations domains for the intervention group were significantly higher than for the control group (p communication skills of fourth-year medical students can be improved by teaching and then practicing a framework for an initial ICU communication episode with a standardized family member.

  5. Improvement of energy model based on cubic interpolation curve

    Institute of Scientific and Technical Information of China (English)

    Li Peipei; Li Xuemei; and Wei Yu

    2012-01-01

    In CAGD and CG, energy model is often used to control the curves and surfaces shape. In curve/surface modeling, we can get fair curve/surface by minimizing the energy of curve/surface. However, our research indicates that in some cases we can't get fair curves/surface using the current energy model. So an improved energy model is presented in this paper. Examples are also included to show that fair curves can be obtained using the improved energy model.

  6. A distribution benefits model for improved information on worldwide crop production. Volume 1: Model structure and application to wheat

    Science.gov (United States)

    Andrews, J.

    1976-01-01

    The improved model is suitable for the study of benefits of worldwide information on a variety of crops. Application to the previously studied case of worldwide wheat production shows that about $108 million per year of distribution benefits to the United States would be achieved by a satellite-based wheat information system meeting the goals of LACIE. The model also indicates that improved information alone will not change world stock levels unless production itself is stabilized. The United States benefits mentioned above are associated with the reduction of price fluctuations within the year and the more effective use of international trade to balance supply and demand. Price fluctuations from year to year would be reduced only if production variability were itself reduced.

  7. Quantum Chemistry for Solvated Molecules on Graphical Processing Units (GPUs)using Polarizable Continuum Models

    CERN Document Server

    Liu, Fang; Kulik, Heather J; Martínez, Todd J

    2015-01-01

    The conductor-like polarization model (C-PCM) with switching/Gaussian smooth discretization is a widely used implicit solvation model in chemical simulations. However, its application in quantum mechanical calculations of large-scale biomolecular systems can be limited by computational expense of both the gas phase electronic structure and the solvation interaction. We have previously used graphical processing units (GPUs) to accelerate the first of these steps. Here, we extend the use of GPUs to accelerate electronic structure calculations including C-PCM solvation. Implementation on the GPU leads to significant acceleration of the generation of the required integrals for C-PCM. We further propose two strategies to improve the solution of the required linear equations: a dynamic convergence threshold and a randomized block-Jacobi preconditioner. These strategies are not specific to GPUs and are expected to be beneficial for both CPU and GPU implementations. We benchmark the performance of the new implementat...

  8. Motivation to Improve Work through Learning: A Conceptual Model

    Directory of Open Access Journals (Sweden)

    Kueh Hua Ng

    2014-12-01

    Full Text Available This study aims to enhance our current understanding of the transfer of training by proposing a conceptual model that supports the mediating role of motivation to improve work through learning about the relationship between social support and the transfer of training. The examination of motivation to improve work through motivation to improve work through a learning construct offers a holistic view pertaining to a learner's profile in a workplace setting, which emphasizes learning for the improvement of work performance. The proposed conceptual model is expected to benefit human resource development theory building, as well as field practitioners by emphasizing the motivational aspects crucial for successful transfer of training.

  9. Simulation team training for improved teamwork in an intensive care unit.

    Science.gov (United States)

    Sandahl, Christer; Gustafsson, Helena; Wallin, Carl-Johan; Meurling, Lisbet; Øvretveit, John; Brommels, Mats; Hansson, Johan

    2013-01-01

    This study aims to describe implementation of simulator-based medical team training and the effect of this programme on inter-professional working in an intensive care unit (ICU). Over a period of two years, 90 percent (n = 152) of the staff of the general ICU at Karolinska University Hospital, Huddinge, Sweden, received inter-professional team training in a fully equipped patient room in their own workplace. A case study method was used to describe and explain the planning, formation, and results of the training programme. In interviews, the participants reported that the training had increased their awareness of the importance of effective communication for patient safety. The intervention had even had an indirect impact by creating a need to talk, not only about how to communicate efficaciously, but also concerning difficult care situations in general. This, in turn, had led to regular reflection meetings for nurses held three times a week. Examples of better communication in acute situations were also reported. However, the findings indicate that the observed improvements will not last, unless organisational features such as staffing rotas and scheduling of rounds and meetings can be changed to enable use of the learned behaviours in everyday work. Other threats to sustainability include shortage of staff, overtime for staff, demands for hospital beds, budget cuts, and poor staff communication due to separate meetings for nurses and physicians. The present results broaden our understanding of how to create and sustain an organizational system that supports medical team training.

  10. Investment in epilepsy monitoring units improves epilepsy care—experience in a regional neuroscience centre

    LENUS (Irish Health Repository)

    McGinty, RN

    2017-08-01

    An evaluation of the clinical yield of inpatient long-term video-EEG (vEEG) in a new epilepsy monitoring unit (EMU) was undertaken, with findings compared to the centre’s prior method of bedside vEEG recording in a standard neurology ward, as reported in 2004. A retrospective analysis of neurophysiology reports for all adults who underwent elective vEEG monitoring in the EMU at Cork University Hospital between January 2015 and July 2016 was conducted. Of 115 vEEG studies in the EMU, 100 (87.0%) were deemed diagnostically conclusive, 14 (12.2%) failed to catch any clinical events and showed normal EEG throughout, and one (0.9%) captured spells of unclear clinical significance—the corresponding figures reported in 2004 for bedside vEEGs were 21.3%, 77% and 1.6%, respectively. The EMU offers a more effective method of recording inpatient vEEG, which aids decision-making and improves clinical outcomes. Some evidence-based measures which could further enhance diagnostic yield are discussed.

  11. Improved Solar-Radiation-Pressure Models for GPS Satellites

    Science.gov (United States)

    Bar-Sever, Yoaz; Kuang, Da

    2006-01-01

    A report describes a series of computational models conceived as an improvement over prior models for determining effects of solar-radiation pressure on orbits of Global Positioning System (GPS) satellites. These models are based on fitting coefficients of Fourier functions of Sun-spacecraft- Earth angles to observed spacecraft orbital motions.

  12. Bayesian Data Assimilation for Improved Modeling of Road Traffic

    NARCIS (Netherlands)

    Van Hinsbergen, C.P.Y.

    2010-01-01

    This thesis deals with the optimal use of existing models that predict certain phenomena of the road traffic system. Such models are extensively used in Advanced Traffic Information Systems (ATIS), Dynamic Traffic Management (DTM) or Model Predictive Control (MPC) approaches in order to improve the

  13. Introducing Model Predictive Control for Improving Power Plant Portfolio Performance

    DEFF Research Database (Denmark)

    Edlund, Kristian Skjoldborg; Bendtsen, Jan Dimon; Børresen, Simon

    2008-01-01

    This paper introduces a model predictive control (MPC) approach for construction of a controller for balancing the power generation against consumption in a power system. The objective of the controller is to coordinate a portfolio consisting of multiple power plant units in the effort to perform...

  14. Assessment of the feasibility of an improvement programme enabling operation of units 3 and 4 of Kozloduy nuclear power plant

    Energy Technology Data Exchange (ETDEWEB)

    Amri, A.; Aronov, J.; Bonino, F.; Cortes, P.; Gorbatchev, A.; Kanev, K.; Mattei, J.M.; Milhem, J.L.; Rollinger, F.; Sabotinov, L.; Samier, L. [Commissariat a l' Energie Atomique, 92 - Fontenay-aux-Roses (FR). Inst. de Protection et de Securete Nucleaire (IPSN)

    2001-07-01

    Since ten years, different western assessments have been made of the safety of VVER 440/230 units, including those of the KOZLODUY Nuclear Power Plant located in Bulgaria. Concerning the latter, reference can be made to the work of an European Consortium (GRS/Germany, IPSN/France, AEA/England, AVN/ Belgium), in 1992 and 1993, during examination of restart conditions for Units 1 and 2. The objective of these assessments was the improvement of the overall level of safety with a view to maintain these units in service with satisfactory safety level for a limited period. The work identified their main deficiencies. At the present time, all the modifications decided upon for Units 1 and 2 of the KOZLODUY Nuclear Power Plant in 1992 and 1993 have been adopted and implemented for Units 3 and 4. In 1999, considering that these units would probably not be definitively shutdown before about ten years, IPSN decided to perform an internal assessment of the feasibility of an improvement programme enabling continued operation of units 3 and 4 of KOZLODUY Nuclear Power Plant during this delay. (orig.)

  15. Predicting hydrophobic solvation by molecular simulation: 1. Testing united-atom alkane models.

    Science.gov (United States)

    Jorge, Miguel; Garrido, Nuno M; Simões, Carlos J V; Silva, Cândida G; Brito, Rui M M

    2017-03-05

    We present a systematic test of the performance of three popular united-atom force fields-OPLS-UA, GROMOS and TraPPE-at predicting hydrophobic solvation, more precisely at describing the solvation of alkanes in alkanes. Gibbs free energies of solvation were calculated for 52 solute/solvent pairs from Molecular Dynamics simulations and thermodynamic integration making use of the IBERCIVIS volunteer computing platform. Our results show that all force fields yield good predictions when both solute and solvent are small linear or branched alkanes (up to pentane). However, as the size of the alkanes increases, all models tend to increasingly deviate from experimental data in a systematic fashion. Furthermore, our results confirm that specific interaction parameters for cyclic alkanes in the united-atom representation are required to account for the additional excluded volume within the ring. Overall, the TraPPE model performs best for all alkanes, but systematically underpredicts the magnitude of solvation free energies by about 6% (RMSD of 1.2 kJ/mol). Conversely, both GROMOS and OPLS-UA systematically overpredict solvation free energies (by ∼13% and 15%, respectively). The systematic trends suggest that all models can be improved by a slight adjustment of their Lennard-Jones parameters. © 2016 Wiley Periodicals, Inc.

  16. Improvement of Jet Breakup Model in Fuel Coolant Interactions

    Energy Technology Data Exchange (ETDEWEB)

    Bang, Kwang Hyun; Kim, Kyung Kyu; Nam, Yang Ho [Korea Maritime Univ., Jinhae (Korea, Republic of)

    2007-02-15

    The objective of this work is to improve TRACER-II code in conjunction with the OECD SERENA project for validation of vapor explosion analysis codes. FCI breakup model is to be improved by building four-fluid multiphase flow model and existing models and experimental data are examined for the validation of the model. Four-fluid multiphase flow model has been built in TRACER-II code and jet breakup model has been included. Kelvin-Helmholtz instability is modelled for the jet side and boundary layer stripping is modelled for the jet leading edge. This work can contributes to the reduction of uncertainty in the FCI models for reactor safety analysis.

  17. A New Model of Delirium Care in the Acute Geriatric Setting: Geriatric Monitoring Unit

    Directory of Open Access Journals (Sweden)

    Chong Mei

    2011-08-01

    Full Text Available Abstract Background Delirium is a common and serious condition, which affects many of our older hospitalised patients. It is an indicator of severe underlying illness and requires early diagnosis and prompt treatment, associated with poor survival, functional outcomes with increased risk of institutionalisation following the delirium episode in the acute care setting. We describe a new model of delirium care in the acute care setting, titled Geriatric Monitoring Unit (GMU where the important concepts of delirium prevention and management are integrated. We hypothesize that patients with delirium admitted to the GMU would have better clinical outcomes with less need for physical and psychotropic restraints compared to usual care. Methods/Design GMU models after the Delirium Room with adoption of core interventions from Hospital Elder Life Program and use of evening bright light therapy to consolidate circadian rhythm and improve sleep in the elderly patients. The novelty of this approach lies in the amalgamation of these interventions in a multi-faceted approach in acute delirium management. GMU development thus consists of key considerations for room design and resource planning, program specific interventions and daily core interventions. Assessments undertaken include baseline demographics, comorbidity scoring, duration and severity of delirium, cognitive, functional measures at baseline, 6 months and 12 months later. Additionally we also analysed the pre and post-GMU implementation knowledge and attitude on delirium care among staff members in the geriatric wards (nurses, doctors and undertook satisfaction surveys for caregivers of patients treated in GMU. Discussion This study protocol describes the conceptualization and implementation of a specialized unit for delirium management. We hypothesize that such a model of care will not only result in better clinical outcomes for the elderly patient with delirium compared to usual geriatric care

  18. Improved Computational Model of Grid Cells Based on Column Structure

    Institute of Scientific and Technical Information of China (English)

    Yang Zhou; Dewei Wu; Weilong Li; Jia Du

    2016-01-01

    To simulate the firing pattern of biological grid cells, this paper presents an improved computational model of grid cells based on column structure. In this model, the displacement along different directions is processed by modulus operation, and the obtained remainder is associated with firing rate of grid cell. Compared with the original model, the improved parts include that: the base of modulus operation is changed, and the firing rate in firing field is encoded by Gaussian⁃like function. Simulation validates that the firing pattern generated by the improved computational model is more consistent with biological characteristic than original model. Besides, the firing pattern is badly influenced by the cumulative positioning error, but the computational model can also generate the regularly hexagonal firing pattern when the real⁃time positioning results are modified.

  19. Predictive models for pressure ulcers from intensive care unit electronic health records using Bayesian networks.

    Science.gov (United States)

    Kaewprag, Pacharmon; Newton, Cheryl; Vermillion, Brenda; Hyun, Sookyung; Huang, Kun; Machiraju, Raghu

    2017-07-05

    We develop predictive models enabling clinicians to better understand and explore patient clinical data along with risk factors for pressure ulcers in intensive care unit patients from electronic health record data. Identifying accurate risk factors of pressure ulcers is essential to determining appropriate prevention strategies; in this work we examine medication, diagnosis, and traditional Braden pressure ulcer assessment scale measurements as patient features. In order to predict pressure ulcer incidence and better understand the structure of related risk factors, we construct Bayesian networks from patient features. Bayesian network nodes (features) and edges (conditional dependencies) are simplified with statistical network techniques. Upon reviewing a network visualization of our model, our clinician collaborators were able to identify strong relationships between risk factors widely recognized as associated with pressure ulcers. We present a three-stage framework for predictive analysis of patient clinical data: 1) Developing electronic health record feature extraction functions with assistance of clinicians, 2) simplifying features, and 3) building Bayesian network predictive models. We evaluate all combinations of Bayesian network models from different search algorithms, scoring functions, prior structure initializations, and sets of features. From the EHRs of 7,717 ICU patients, we construct Bayesian network predictive models from 86 medication, diagnosis, and Braden scale features. Our model not only identifies known and suspected high PU risk factors, but also substantially increases sensitivity of the prediction - nearly three times higher comparing to logistical regression models - without sacrificing the overall accuracy. We visualize a representative model with which our clinician collaborators identify strong relationships between risk factors widely recognized as associated with pressure ulcers. Given the strong adverse effect of pressure ulcers

  20. Full Stokes finite-element modeling of ice sheets using a graphics processing unit

    Science.gov (United States)

    Seddik, H.; Greve, R.

    2016-12-01

    Thermo-mechanical simulation of ice sheets is an important approach to understand and predict their evolution in a changing climate. For that purpose, higher order (e.g., ISSM, BISICLES) and full Stokes (e.g., Elmer/Ice, http://elmerice.elmerfem.org) models are increasingly used to more accurately model the flow of entire ice sheets. In parallel to this development, the rapidly improving performance and capabilities of Graphics Processing Units (GPUs) allows to efficiently offload more calculations of complex and computationally demanding problems on those devices. Thus, in order to continue the trend of using full Stokes models with greater resolutions, using GPUs should be considered for the implementation of ice sheet models. We developed the GPU-accelerated ice-sheet model Sainō. Sainō is an Elmer (http://www.csc.fi/english/pages/elmer) derivative implemented in Objective-C which solves the full Stokes equations with the finite element method. It uses the standard OpenCL language (http://www.khronos.org/opencl/) to offload the assembly of the finite element matrix on the GPU. A mesh-coloring scheme is used so that elements with the same color (non-sharing nodes) are assembled in parallel on the GPU without the need for synchronization primitives. The current implementation shows that, for the ISMIP-HOM experiment A, during the matrix assembly in double precision with 8000, 87,500 and 252,000 brick elements, Sainō is respectively 2x, 10x and 14x faster than Elmer/Ice (when both models are run on a single processing unit). In single precision, Sainō is even 3x, 20x and 25x faster than Elmer/Ice. A detailed description of the comparative results between Sainō and Elmer/Ice will be presented, and further perspectives in optimization and the limitations of the current implementation.

  1. SOME IMPROVEMENTS IN VISCO-PLASTIC MODEL CONSIDERING DYNAMIC RECRYSTALLIZATION

    Institute of Scientific and Technical Information of China (English)

    QU Jie; JIN Quanlin; XU Bingye

    2004-01-01

    Some improvements in Jin's thermal visco-plastic constitutive model considering dynamic recrysytallization is presented in this paper. By introducing the influence of the strain rate on the mobility of dynamic recovery, the improved model can be more smoothly applied to numerical simulation of material flow behaviour and microstructure prediction during hot working. Another improvement is to consider the accumulated dislocation energy in the newly recrystallized grains as a resistance to the driving force of dynamic recrystallization volume. This improvement makes the predicted results of dynamic recrystallization progress agree better with the actual physical process.Finally, some numerical examples are given to show the advantages of the improved model and the ability to predict the dynamic recrystallization.

  2. Accelerated Electromechanical Modeling of a Distributed Internal Combustion Engine Generator Unit

    Directory of Open Access Journals (Sweden)

    Serhiy V. Bozhko

    2012-07-01

    Full Text Available Distributed generation with a combustion engine prime mover is still widely used to supply electric power in a variety of applications. These applications range from backup power supply systems and combined wind-diesel generation to providing power in places where grid connection is either technically impractical or financially uneconomic. Modelling of such systems as a whole is extremely difficult due to the long-time load profiles needed and the computational difficulty of including small time-constant electrical dynamics with large time-constant mechanical dynamics. This paper presents the development of accelerated, reduced-order models of a distributed internal combustions engine generator unit. Overall these models are shown to achieve a massive improvement in the computational time required for long-time simulations while also achieving an extremely high level of dynamic accuracy. It is demonstrated how these models are derived, used and verified against benchmark models created using established techniques. Throughout the paper the modelling set as a whole, including multi level detail, is presented, detailed and finally summarised into a crucial tool for general system investigation and multiple target optimisation.

  3. Graphics Processing Unit (GPU) Acceleration of the Goddard Earth Observing System Atmospheric Model

    Science.gov (United States)

    Putnam, Williama

    2011-01-01

    The Goddard Earth Observing System 5 (GEOS-5) is the atmospheric model used by the Global Modeling and Assimilation Office (GMAO) for a variety of applications, from long-term climate prediction at relatively coarse resolution, to data assimilation and numerical weather prediction, to very high-resolution cloud-resolving simulations. GEOS-5 is being ported to a graphics processing unit (GPU) cluster at the NASA Center for Climate Simulation (NCCS). By utilizing GPU co-processor technology, we expect to increase the throughput of GEOS-5 by at least an order of magnitude, and accelerate the process of scientific exploration across all scales of global modeling, including: The large-scale, high-end application of non-hydrostatic, global, cloud-resolving modeling at 10- to I-kilometer (km) global resolutions Intermediate-resolution seasonal climate and weather prediction at 50- to 25-km on small clusters of GPUs Long-range, coarse-resolution climate modeling, enabled on a small box of GPUs for the individual researcher After being ported to the GPU cluster, the primary physics components and the dynamical core of GEOS-5 have demonstrated a potential speedup of 15-40 times over conventional processor cores. Performance improvements of this magnitude reduce the required scalability of 1-km, global, cloud-resolving models from an unfathomable 6 million cores to an attainable 200,000 GPU-enabled cores.

  4. Combat Modeling Evaluation at the United States Military Academy.

    Science.gov (United States)

    1985-06-01

    ULOC)).PRCNT(ILOC) 0238 DO 110 ISUPSI,12 0239 SUPPLY(IFILE(ILOC), ISUP ).IFORCE(ILOC, ISUP ) 0240 110 CONTINUE 0241 DO 120 IWE~ul,? 0242 NUNDERVEAPONS...IWEP) 0226 70 CONTINUE 0227 DO S0 ISUP01,12 0228 IFORCE(ILOC, ISUP )mSUPPLY(LOC.ISUP) 0229 80 CONTINUE 0230 90 CONTINUE 0231 DO 290 IRONw1,IREPT 0232...EACH TYPE BY UNIT IN FILE INPUT.DAT NITCL ARRAY OF UNIT COLORS IN FILE INPUT.DAT ISUP SUPPLY CATEGORY • e IFORCE ARRAY TO STORE SUPPLIES ON HAND IN

  5. The Cardiovascular Intensive Care Unit-An Evolving Model for Health Care Delivery.

    Science.gov (United States)

    Loughran, John; Puthawala, Tauqir; Sutton, Brad S; Brown, Lorrel E; Pronovost, Peter J; DeFilippis, Andrew P

    2017-02-01

    Prior to the advent of the coronary care unit (CCU), patients having an acute myocardial infarction (AMI) were managed on the general medicine wards with reported mortality rates of greater than 30%. The first CCUs are believed to be responsible for reducing mortality attributed to AMI by as much as 40%. This drastic improvement can be attributed to both advances in medical technology and in the process of health care delivery. Evolving considerably since the 1960s, the CCU is now more appropriately labeled as a cardiac intensive care unit (CICU) and represents a comprehensive system designed for the care of patients with an array of advanced cardiovascular disease, an entity that reaches far beyond its early association with AMI. Grouping of patients by diagnosis to a common physical space, dedicated teams of health care providers, as well as the development and implementation of evidence-based treatment algorithms have resulted in the delivery of safer, more efficient care, and most importantly better patient outcomes. The CICU serves as a platform for an integrated, team-based patient care delivery system that addresses a broad spectrum of patient needs. Lessons learned from this model can be broadly applied to address the urgent need to improve outcomes and efficiency in a variety of health care settings.

  6. A Case Study on Improving Intensive Care Unit (ICU) Services Reliability: By Using Process Failure Mode and Effects Analysis (PFMEA)

    Science.gov (United States)

    Yousefinezhadi, Taraneh; Jannesar Nobari, Farnaz Attar; Goodari, Faranak Behzadi; Arab, Mohammad

    2016-01-01

    Introduction: In any complex human system, human error is inevitable and shows that can’t be eliminated by blaming wrong doers. So with the aim of improving Intensive Care Units (ICU) reliability in hospitals, this research tries to identify and analyze ICU’s process failure modes at the point of systematic approach to errors. Methods: In this descriptive research, data was gathered qualitatively by observations, document reviews, and Focus Group Discussions (FGDs) with the process owners in two selected ICUs in Tehran in 2014. But, data analysis was quantitative, based on failures’ Risk Priority Number (RPN) at the base of Failure Modes and Effects Analysis (FMEA) method used. Besides, some causes of failures were analyzed by qualitative Eindhoven Classification Model (ECM). Results: Through FMEA methodology, 378 potential failure modes from 180 ICU activities in hospital A and 184 potential failures from 99 ICU activities in hospital B were identified and evaluated. Then with 90% reliability (RPN≥100), totally 18 failures in hospital A and 42 ones in hospital B were identified as non-acceptable risks and then their causes were analyzed by ECM. Conclusions: Applying of modified PFMEA for improving two selected ICUs’ processes reliability in two different kinds of hospitals shows that this method empowers staff to identify, evaluate, prioritize and analyze all potential failure modes and also make them eager to identify their causes, recommend corrective actions and even participate in improving process without feeling blamed by top management. Moreover, by combining FMEA and ECM, team members can easily identify failure causes at the point of health care perspectives. PMID:27157162

  7. Fiducial-based monocular 3D displacement measurement of breakwater armour unit models.

    CSIR Research Space (South Africa)

    Vieira, R

    2008-11-01

    Full Text Available This paper presents a fiducial-based approach to monitoring the movement of breakwater armour units in a model hall environment. Target symbols with known dimensions are attached to the physical models, allowing the recovery of three...

  8. The UNITE-DSS Modelling System: Risk Simulation and Decision Conferencing

    DEFF Research Database (Denmark)

    Salling, Kim Bang; Barfod, Michael Bruhn

    This presentation introduces the brand new approach of integrating risk simulation and decision conferencing within transport project appraisal (UNITE-DSS model). The modelling approach is divided into various modules respectively as point estimates (cost-benefit analysis), stochastic interval...

  9. Motivation to Improve Work through Learning: A Conceptual Model

    OpenAIRE

    Kueh Hua Ng; Rusli Ahmad

    2014-01-01

    This study aims to enhance our current understanding of the transfer of training by proposing a conceptual model that supports the mediating role of motivation to improve work through learning about the relationship between social support and the transfer of training. The examination of motivation to improve work through motivation to improve work through a learning construct offers a holistic view pertaining to a learner's profile in a workplace setting, which emphasizes learning for the imp...

  10. Applying Modern Techniques and Carrying Out English .Extracurricular—— On the Model United Nations Activity

    Institute of Scientific and Technical Information of China (English)

    XuXiaoyu; WangJian

    2004-01-01

    This paper is an introduction of the extracurricular activity of the Model United Nations in Northwestern Polyteehnical University (NPU) and it focuses on the application of the modem techniques in the activity and the pedagogical theories applied in it. An interview and questionnaire research will reveal the influence of the Model United Nations.

  11. Improved actions for the two-dimensional sigma-model

    OpenAIRE

    Caracciolo, Sergio; Montanari, Andrea; Pelissetto, Andrea

    1997-01-01

    For the O(N) sigma-model we studied the improvement program for actions with two- and four-spin interactions. An interesting example is an action which is reflection-positive, on-shell improved, and has all the coupling defined on an elementary plaquette. We show the large N solution and preliminary Monte Carlo results for N=3.

  12. Hypersonic Vehicle Tracking Based on Improved Current Statistical Model

    Directory of Open Access Journals (Sweden)

    He Guangjun

    2013-11-01

    Full Text Available A new method of tracking the near space hypersonic vehicle is put forward. According to hypersonic vehicles’ characteristics, we improved current statistical model through online identification of the maneuvering frequency. A Monte Carlo simulation is used to analyze the performance of the method. The results show that the improved method exhibits very good tracking performance in comparison with the old method.

  13. Application of Improved Grey Prediction Model to Petroleum Cost Forecasting

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    The grey theory is a multidisciplinary and generic theory that deals with systems that lack adequate information and/or have only poor information. In this paper, an improved grey model using step function was proposed.Petroleum cost forecast of the Henan oil field was used as the case study to test the efficiency and accuracy of the proposed method. According to the experimental results, the proposed method obviously could improve the prediction accuracy of the original grey model.

  14. Modeling and forecasting the volatility of Islamic unit trust in Malaysia using GARCH model

    Science.gov (United States)

    Ismail, Nuraini; Ismail, Mohd Tahir; Karim, Samsul Ariffin Abdul; Hamzah, Firdaus Mohamad

    2015-10-01

    Due to the tremendous growth of Islamic unit trust in Malaysia since it was first introduced on 12th of January 1993 through the fund named Tabung Ittikal managed by Arab-Malaysian Securities, vast studies have been done to evaluate the performance of Islamic unit trust offered in Malaysia's capital market. Most of the studies found that one of the factors that affect the performance of the fund is the volatility level. Higher volatility produces better performance of the fund. Thus, we believe that a strategy must be set up by the fund managers in order for the fund to perform better. By using a series of net asset value (NAV) data of three different types of fund namely CIMB-IDEGF, CIMB-IBGF and CIMB-ISF from a fund management company named CIMB Principal Asset Management Berhad over a six years period from 1st January 2008 until 31st December 2013, we model and forecast the volatility of these Islamic unit trusts. The study found that the best fitting models for CIMB-IDEGF, CIMB-IBGF and CIMB-ISF are ARCH(4), GARCH(3,3) and GARCH(3,1) respectively. Meanwhile, the fund that is expected to be the least volatile is CIMB-IDEGF and the fund that is expected to be the most volatile is CIMB-IBGF.

  15. Study of water quality improvements during riverbank filtration at three midwestern United States drinking water utilities

    Science.gov (United States)

    Weiss, W.; Bouwer, E.; Ball, W.; O'Melia, C.; Lechevallier, M.; Arora, H.; Aboytes, R.; Speth, T.

    2003-04-01

    Riverbank filtration (RBF) is a process during which surface water is subjected to subsurface flow prior to extraction from wells. During infiltration and soil passage, surface water is subjected to a combination of physical, chemical, and biological processes such as filtration, dilution, sorption, and biodegradation that can significantly improve the raw water quality (Tufenkji et al, 2002; Kuehn and Mueller, 2000; Kivimaki et al, 1998; Stuyfzand, 1998). Transport through alluvial aquifers is associated with a number of water quality benefits, including removal of microbes, pesticides, total and dissolved organic carbon (TOC and DOC), nitrate, and other contaminants (Hiscock and Grischek, 2002; Tufenkji et al., 2002; Ray et al, 2002; Kuehn and Mueller, 2000; Doussan et al, 1997; Cosovic et al, 1996; Juttner, 1995; Miettinen et al, 1994). In comparison to most groundwater sources, alluvial aquifers that are hydraulically connected to rivers are typically easier to exploit (shallow) and more highly productive for drinking water supplies (Doussan et al, 1997). Increased applications of RBF are anticipated as drinking water utilities strive to meet increasingly stringent drinking water regulations, especially with regard to the provision of multiple barriers for protection against microbial pathogens, and with regard to tighter regulations for disinfection by-products (DBPs), such as trihalomethanes (THMs) and haloacetic acids (HAAs). In the above context, research was conducted to document the water quality benefits during RBF at three major river sources in the mid-western United States, specifically with regard to DBP precursor organic matter and microbial pathogens. Specific objectives were to: 1. Evaluate the merits of RBF for removing/controlling DBP precursors and certain other drinking water contaminants (e.g. microorganisms). 2. Evaluate whether RBF can improve finished drinking water quality by removing and/or altering natural organic matter (NOM) in a

  16. Study on Improvement of Accuracy in Inertial Photogrammetry by Combining Images with Inertial Measurement Unit

    Science.gov (United States)

    Kawasaki, Hideaki; Anzai, Shojiro; Koizumi, Toshio

    2016-06-01

    Inertial photogrammetry is defined as photogrammetry that involves using a camera on which an inertial measurement unit (IMU) is mounted. In inertial photogrammetry, the position and inclination of a shooting camera are calculated using the IMU. An IMU is characterized by error growth caused by time accumulation because acceleration is integrated with respect to time. This study examines the procedure to estimate the position of the camera accurately while shooting using the IMU and the structure from motion (SfM) technology, which is applied in many fields, such as computer vision. When neither the coordinates of the position of the camera nor those of feature points are known, SfM provides a similar positional relationship between the position of the camera and feature points. Therefore, the actual length of positional coordinates is not determined. If the actual length of the position of the camera is unknown, the camera acceleration is obtained by calculating the second order differential of the position of the camera, with respect to the shooting time. The authors had determined the actual length by assigning the position of IMU to the SfM-calculated position. Hence, accuracy decreased because of the error growth, which was the characteristic feature of IMU. In order to solve this problem, a new calculation method was proposed. Using this method, the difference between the IMU-calculated acceleration and the camera-calculated acceleration can be obtained using the method of least squares, and the magnification required for calculating the actual dimension from the position of the camera can be obtained. The actual length can be calculated by multiplying all the SfM point groups by the obtained magnification factor. This calculation method suppresses the error growth, which is due to the time accumulation in IMU, and improves the accuracy of inertial photogrammetry.

  17. Enhancing rehabilitation of mechanically ventilated patients in the intensive care unit: a quality improvement project.

    Science.gov (United States)

    McWilliams, David; Weblin, Jonathan; Atkins, Gemma; Bion, Julian; Williams, Jenny; Elliott, Catherine; Whitehouse, Tony; Snelson, Catherine

    2015-02-01

    Prolonged periods of mechanical ventilation are associated with significant physical and psychosocial adverse effects. Despite increasing evidence supporting early rehabilitation strategies, uptake and delivery of such interventions in Europe have been variable. The objective of this study was to evaluate the impact of an early and enhanced rehabilitation program for mechanically ventilated patients in a large tertiary referral, mixed-population intensive care unit (ICU). A new supportive rehabilitation team was created within the ICU in April 2012, with a focus on promoting early and enhanced rehabilitation for patients at high risk for prolonged ICU and hospital stays. Baseline data on all patients invasively ventilated for at least 5 days in the previous 12 months (n = 290) were compared with all patients ventilated for at least 5 days in the 12 months after the introduction of the rehabilitation team (n = 292). The main outcome measures were mobility level at ICU discharge (assessed via the Manchester Mobility Score), mean ICU, and post-ICU length of stay (LOS), ventilator days, and in-hospital mortality. The introduction of the ICU rehabilitation team was associated with a significant increase in mobility at ICU discharge, and this was associated with a significant reduction in ICU LOS (16.9 vs 14.4 days, P = .007), ventilator days (11.7 vs 9.3 days, P rehabilitation within this European ICU improved levels of mobility at critical care discharge, and this was associated with reduced ICU and hospital LOS and reduced days of mechanical ventilation. Copyright © 2014 The Authors. Published by Elsevier Inc. All rights reserved.

  18. The United States Military Entrance Processing Command (USMEPCOM) Uses Six Sigma Process to Develop and Improve Data Quality

    Science.gov (United States)

    2007-06-01

    mecpom.army.mil Original title on 712 A/B: The United States Military Entrance Processing Command (USMEPCOM) uses Six Sigma process to develop and...Entrance Processing Command (USMEPCOM) uses Six Sigma Process to Develop and Improve Data Quality 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM...Processing Command (USMEPCOM) uses Six Sigma Process to Develop and Improve Data Quality 3 • USMEPCOM Overview/History • Purpose • Define: What is Important

  19. Allocating HIV prevention funds in the United States: recommendations from an optimization model.

    Directory of Open Access Journals (Sweden)

    Arielle Lasry

    Full Text Available The Centers for Disease Control and Prevention (CDC had an annual budget of approximately $327 million to fund health departments and community-based organizations for core HIV testing and prevention programs domestically between 2001 and 2006. Annual HIV incidence has been relatively stable since the year 2000 and was estimated at 48,600 cases in 2006 and 48,100 in 2009. Using estimates on HIV incidence, prevalence, prevention program costs and benefits, and current spending, we created an HIV resource allocation model that can generate a mathematically optimal allocation of the Division of HIV/AIDS Prevention's extramural budget for HIV testing, and counseling and education programs. The model's data inputs and methods were reviewed by subject matter experts internal and external to the CDC via an extensive validation process. The model projects the HIV epidemic for the United States under different allocation strategies under a fixed budget. Our objective is to support national HIV prevention planning efforts and inform the decision-making process for HIV resource allocation. Model results can be summarized into three main recommendations. First, more funds should be allocated to testing and these should further target men who have sex with men and injecting drug users. Second, counseling and education interventions ought to provide a greater focus on HIV positive persons who are aware of their status. And lastly, interventions should target those at high risk for transmitting or acquiring HIV, rather than lower-risk members of the general population. The main conclusions of the HIV resource allocation model have played a role in the introduction of new programs and provide valuable guidance to target resources and improve the impact of HIV prevention efforts in the United States.

  20. CONCEPT OF AUTOMATIC CONTROL SYSTEM FOR IMPROVING THE EFFICIENCY OF THE ABSORPTION REFRIGERATING UNITS

    Directory of Open Access Journals (Sweden)

    O. Titlova

    2016-12-01

    Full Text Available The general concept of the automatic control systems constructing for increasing the efficiency of the artificial cold production process in the absorption refrigerating units is substantiated. The described automatic control systems provides necessary degree of the ammonia vapor purification from the water in all absorption refrigerating units modes and minimizes heat loss from the dephlegmator surface.

  1. Modeling the Current and Future Roles of Particulate Organic Nitrates in the Southeastern United States.

    Science.gov (United States)

    Pye, Havala O T; Luecken, Deborah J; Xu, Lu; Boyd, Christopher M; Ng, Nga L; Baker, Kirk R; Ayres, Benjamin R; Bash, Jesse O; Baumann, Karsten; Carter, William P L; Edgerton, Eric; Fry, Juliane L; Hutzell, William T; Schwede, Donna B; Shepson, Paul B

    2015-12-15

    Organic nitrates are an important aerosol constituent in locations where biogenic hydrocarbon emissions mix with anthropogenic NOx sources. While regional and global chemical transport models may include a representation of organic aerosol from monoterpene reactions with nitrate radicals (the primary source of particle-phase organic nitrates in the Southeast United States), secondary organic aerosol (SOA) models can underestimate yields. Furthermore, SOA parametrizations do not explicitly take into account organic nitrate compounds produced in the gas phase. In this work, we developed a coupled gas and aerosol system to describe the formation and subsequent aerosol-phase partitioning of organic nitrates from isoprene and monoterpenes with a focus on the Southeast United States. The concentrations of organic aerosol and gas-phase organic nitrates were improved when particulate organic nitrates were assumed to undergo rapid (τ = 3 h) pseudohydrolysis resulting in nitric acid and nonvolatile secondary organic aerosol. In addition, up to 60% of less oxidized-oxygenated organic aerosol (LO-OOA) could be accounted for via organic nitrate mediated chemistry during the Southern Oxidants and Aerosol Study (SOAS). A 25% reduction in nitrogen oxide (NO + NO2) emissions was predicted to cause a 9% reduction in organic aerosol for June 2013 SOAS conditions at Centreville, Alabama.

  2. Perceptions of a Primary Nursing Care Model in a Pediatric Hematology/Oncology Unit.

    Science.gov (United States)

    Nadeau, Katie; Pinner, Kerri; Murphy, Katie; Belderson, Kristin M

    2016-02-22

    The primary nursing care model optimizes relationship-based care. Despite using a primary nursing model on a pediatric hematology/oncology inpatient unit, it was hypothesized patients and nurses were dissatisfied with the structure of primary care teams and inconsistency of primary assignments. The purpose of this study was to evaluate patient/family and nurse perceptions of our current care model through assessing gaps in its operationalization and satisfaction. This study used a descriptive cross-sectional design featuring patient/family and nurse surveys. Of the 59 patient/family respondents, 93.2% prefer to have a primary nurse care for them and 85% are satisfied with how often they are assigned a primary care team member. Similarly, 63% of the 57 nurse respondents are satisfied with the current implementation of our primary nursing model and 61% state the model reflects good continuity of care. Yet 80.7% of nurses believe safety would improve for a patient whose nurse works shifts consecutively even if not a primary nurse. Overall, patients, families, and nurses value care continuity and meaningful nurse-patient relationships, which is fundamental to primary nursing.

  3. Developing a multiscale, multi-resolution agent-based brain tumor model by graphics processing units

    Directory of Open Access Journals (Sweden)

    Zhang Le

    2011-12-01

    Full Text Available Abstract Multiscale agent-based modeling (MABM has been widely used to simulate Glioblastoma Multiforme (GBM and its progression. At the intracellular level, the MABM approach employs a system of ordinary differential equations to describe quantitatively specific intracellular molecular pathways that determine phenotypic switches among cells (e.g. from migration to proliferation and vice versa. At the intercellular level, MABM describes cell-cell interactions by a discrete module. At the tissue level, partial differential equations are employed to model the diffusion of chemoattractants, which are the input factors of the intracellular molecular pathway. Moreover, multiscale analysis makes it possible to explore the molecules that play important roles in determining the cellular phenotypic switches that in turn drive the whole GBM expansion. However, owing to limited computational resources, MABM is currently a theoretical biological model that uses relatively coarse grids to simulate a few cancer cells in a small slice of brain cancer tissue. In order to improve this theoretical model to simulate and predict actual GBM cancer progression in real time, a graphics processing unit (GPU-based parallel computing algorithm was developed and combined with the multi-resolution design to speed up the MABM. The simulated results demonstrated that the GPU-based, multi-resolution and multiscale approach can accelerate the previous MABM around 30-fold with relatively fine grids in a large extracellular matrix. Therefore, the new model has great potential for simulating and predicting real-time GBM progression, if real experimental data are incorporated.

  4. A participatory model for improving occupational health and safety: improving informal sector working conditions in Thailand.

    Science.gov (United States)

    Manothum, Aniruth; Rukijkanpanich, Jittra; Thawesaengskulthai, Damrong; Thampitakkul, Boonwa; Chaikittiporn, Chalermchai; Arphorn, Sara

    2009-01-01

    The purpose of this study was to evaluate the implementation of an Occupational Health and Safety Management Model for informal sector workers in Thailand. The studied model was characterized by participatory approaches to preliminary assessment, observation of informal business practices, group discussion and participation, and the use of environmental measurements and samples. This model consisted of four processes: capacity building, risk analysis, problem solving, and monitoring and control. The participants consisted of four local labor groups from different regions, including wood carving, hand-weaving, artificial flower making, and batik processing workers. The results demonstrated that, as a result of applying the model, the working conditions of the informal sector workers had improved to meet necessary standards. This model encouraged the use of local networks, which led to cooperation within the groups to create appropriate technologies to solve their problems. The authors suggest that this model could effectively be applied elsewhere to improve informal sector working conditions on a broader scale.

  5. Retrospective analysis for genetic improvement of hip joints of cohort labrador retrievers in the United States: 1970-2007.

    Directory of Open Access Journals (Sweden)

    Yali Hou

    Full Text Available BACKGROUND: Canine Hip Dysplasia (CHD is a common inherited disease that affects dog wellbeing and causes a heavy financial and emotional burden to dog owners and breeders due to secondary hip osteoarthritis. The Orthopedic Foundation for Animals (OFA initiated a program in the 1960's to radiograph hip and elbow joints and release the OFA scores to the public for breeding dogs against CHD. Over last four decades, more than one million radiographic scores have been released. METHODOLOGY/PRINCIPAL FINDINGS: The pedigrees in the OFA database consisted of 258,851 Labrador retrievers, the major breed scored by the OFA (25% of total records. Of these, 154,352 dogs had an OFA hip score reported between 1970 and 2007. The rest of the dogs (104,499 were the ancestors of the 154,352 dogs to link the pedigree relationships. The OFA hip score is based on a 7-point scale with the best ranked as 1 (excellent and the worst hip dysplasia as 7. A mixed linear model was used to estimate the effects of age, sex, and test year period and to predict the breeding value for each dog. Additive genetic and residual variances were estimated using the average information restricted maximum likelihood procedure. The analysis also provided an inbreeding coefficient for each dog. The hip scores averaged 1.93 (+/-SD = 0.59 and the heritability was 0.21. A steady genetic improvement has accrued over the four decades. The breeding values decreased (improved linearly. By the end of 2005, the total genetic improvement was 0.1 units, which is equivalent to 17% of the total phenotypic standard deviation. CONCLUSION/SIGNIFICANCE: A steady genetic improvement has been achieved through the selection based on the raw phenotype released by the OFA. As the heritability of the hip score was on the low end (0.21 of reported ranges, we propose that selection based on breeding values will result in more rapid genetic improvement than breeding based on phenotypic selection alone.

  6. The Intelligence of Observation: Improving High School Students' Spatial Ability by Means of Intervention Unit

    Science.gov (United States)

    Patkin, Dorit; Dayan, Ester

    2013-01-01

    This case study of one class versus a control group focused on the impact of an intervention unit, which is not part of the regular curriculum, on the improvement of spatial ability of high school students (forty-six 12th-graders, aged 17-18, both boys and girls) in general as well as from a gender perspective. The study explored three…

  7. An Improved Calibration Method for Hydrazine Monitors for the United States Air Force

    Energy Technology Data Exchange (ETDEWEB)

    Korsah, K

    2003-07-07

    This report documents the results of Phase 1 of the ''Air Force Hydrazine Detector Characterization and Calibration Project''. A method for calibrating model MDA 7100 hydrazine detectors in the United States Air Force (AF) inventory has been developed. The calibration system consists of a Kintek 491 reference gas generation system, a humidifier/mixer system which combines the dry reference hydrazine gas with humidified diluent or carrier gas to generate the required humidified reference for calibrations, and a gas sampling interface. The Kintek reference gas generation system itself is periodically calibrated using an ORNL-constructed coulometric titration system to verify the hydrazine concentration of the sample atmosphere in the interface module. The Kintek reference gas is then used to calibrate the hydrazine monitors. Thus, coulometric titration is only used to periodically assess the performance of the Kintek reference gas generation system, and is not required for hydrazine monitor calibrations. One advantage of using coulometric titration for verifying the concentration of the reference gas is that it is a primary standard (if used for simple solutions), thereby guaranteeing, in principle, that measurements will be traceable to SI units (i.e., to the mole). The effect of humidity of the reference gas was characterized by using the results of concentrations determined by coulometric titration to develop a humidity correction graph for the Kintek 491 reference gas generation system. Using this calibration method, calibration uncertainty has been reduced by 50% compared to the current method used to calibrate hydrazine monitors in the Air Force inventory and calibration time has also been reduced by more than 20%. Significant findings from studies documented in this report are the following: (1) The Kintek 491 reference gas generation system (generator, humidifier and interface module) can be used to calibrate hydrazine detectors. (2) The

  8. Improving Catastrophe Modeling for Business Interruption Insurance Needs.

    Science.gov (United States)

    Rose, Adam; Huyck, Charles K

    2016-10-01

    While catastrophe (CAT) modeling of property damage is well developed, modeling of business interruption (BI) lags far behind. One reason is the crude nature of functional relationships in CAT models that translate property damage into BI. Another is that estimating BI losses is more complicated because it depends greatly on public and private decisions during recovery with respect to resilience tactics that dampen losses by using remaining resources more efficiently to maintain business function and to recover more quickly. This article proposes a framework for improving hazard loss estimation for BI insurance needs. Improved data collection that allows for analysis at the level of individual facilities within a company can improve matching the facilities with the effectiveness of individual forms of resilience, such as accessing inventories, relocating operations, and accelerating repair, and can therefore improve estimation accuracy. We then illustrate the difference this can make in a case study example of losses from a hurricane.

  9. Improvement and Validation of Weld Residual Stress Modelling Procedure

    Energy Technology Data Exchange (ETDEWEB)

    Zang, Weilin; Gunnars, Jens (Inspecta Technology AB, Stockholm (Sweden)); Dong, Pingsha; Hong, Jeong K. (Center for Welded Structures Research, Battelle, Columbus, OH (United States))

    2009-06-15

    The objective of this work is to identify and evaluate improvements for the residual stress modelling procedure currently used in Sweden. There is a growing demand to eliminate any unnecessary conservatism involved in residual stress assumptions. The study was focused on the development and validation of an improved weld residual stress modelling procedure, by taking advantage of the recent advances in residual stress modelling and stress measurement techniques. The major changes applied in the new weld residual stress modelling procedure are: - Improved procedure for heat source calibration based on use of analytical solutions. - Use of an isotropic hardening model where mixed hardening data is not available. - Use of an annealing model for improved simulation of strain relaxation in re-heated material. The new modelling procedure is demonstrated to capture the main characteristics of the through thickness stress distributions by validation to experimental measurements. Three austenitic stainless steel butt-welds cases are analysed, covering a large range of pipe geometries. From the cases it is evident that there can be large differences between the residual stresses predicted using the new procedure, and the earlier procedure or handbook recommendations. Previously recommended profiles could give misleading fracture assessment results. The stress profiles according to the new procedure agree well with the measured data. If data is available then a mixed hardening model should be used

  10. Using airborne geophysical surveys to improve groundwater resource management models

    Science.gov (United States)

    Abraham, Jared D.; Cannia, James C.; Peterson, Steven M.; Smith, Bruce D.; Minsley, Burke J.; Bedrosian, Paul A.

    2010-01-01

    Increasingly, groundwater management requires more accurate hydrogeologic frameworks for groundwater models. These complex issues have created the demand for innovative approaches to data collection. In complicated terrains, groundwater modelers benefit from continuous high‐resolution geologic maps and their related hydrogeologic‐parameter estimates. The USGS and its partners have collaborated to use airborne geophysical surveys for near‐continuous coverage of areas of the North Platte River valley in western Nebraska. The survey objectives were to map the aquifers and bedrock topography of the area to help improve the understanding of groundwater‐surface‐water relationships, leading to improved water management decisions. Frequency‐domain heliborne electromagnetic surveys were completed, using a unique survey design to collect resistivity data that can be related to lithologic information to refine groundwater model inputs. To render the geophysical data useful to multidimensional groundwater models, numerical inversion is necessary to convert the measured data into a depth‐dependent subsurface resistivity model. This inverted model, in conjunction with sensitivity analysis, geological ground truth (boreholes and surface geology maps), and geological interpretation, is used to characterize hydrogeologic features. Interpreted two‐ and three‐dimensional data coverage provides the groundwater modeler with a high‐resolution hydrogeologic framework and a quantitative estimate of framework uncertainty. This method of creating hydrogeologic frameworks improved the understanding of flow path orientation by redefining the location of the paleochannels and associated bedrock highs. The improved models reflect actual hydrogeology at a level of accuracy not achievable using previous data sets.

  11. Development of Improved Algorithms and Multiscale Modeling Capability with SUNTANS

    Science.gov (United States)

    2015-09-30

    High-resolution simulations using nonhydrostatic models like SUNTANS are crucial for understanding multiscale processes that are unresolved, and...1 DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. Development of Improved Algorithms and Multiscale ... Modeling Capability with SUNTANS Oliver B. Fringer 473 Via Ortega, Room 187 Dept. of Civil and Environmental Engineering Stanford University

  12. Improved Modeling of Intelligent Tutoring Systems Using Ant Colony Optimization

    Science.gov (United States)

    Rastegarmoghadam, Mahin; Ziarati, Koorush

    2017-01-01

    Swarm intelligence approaches, such as ant colony optimization (ACO), are used in adaptive e-learning systems and provide an effective method for finding optimal learning paths based on self-organization. The aim of this paper is to develop an improved modeling of adaptive tutoring systems using ACO. In this model, the learning object is…

  13. Improved data for integrated modeling of global environmental change

    Science.gov (United States)

    Lotze-Campen, Hermann

    2011-12-01

    Ethiopia. Together with data from household studies, the new dataset could provide the basis for improved assessments of targeted infrastructure investment, which could help to reduce environmental degradation, promote economic development and alleviate poverty. References Alcamo J et al 1996 Baseline scenarios of global environmental change Glob. Environ. Change—Human Policy Dimens. 6 261-303 CIESIN, IFPRI and WRI 2000 Gridded Population of the World (GPW), Version 2 (available at http://sedac.ciesin.columbia.edu/plue/gpw, accessed March 2004) Erb K-H et al 2007 A comprehensive global 5 min resolution land-use data set for the year 2000 consistent with national census data J. Land Use Sci. 2 191-224 Heistermann M, Müller C and Ronneberger K 2006 Land in sight? Achievements, deficits and potentials of global land-use modeling Agric. Ecosyst. Environ. 114 141-58 Lambin E F and Meyfroidt P 2011 Global land use change, economic globalization, and the looming land scarcity Proc. Natl Acad. Sci. USA 108 3465-72 Leemans R et al 1996 The land cover and carbon cycle consequences of large-scale utilizations of biomass as an energy source Glob. Environ. Change 6 335-57 Lotze-Campen H, Reusswig F and Stoll-Kleemann S 2008 Socio-ecological monitoring of biodiversity change: building upon the world network of biosphere reserves GAIA—Ecological Perspectives for Science and Society 17 (Suppl. 1) 107-15 Nelson A 2008 Estimated travel time to the nearest city of 50,000 or more people in year 2000 (Ispra: Global Environment Monitoring Unit, Joint Research Centre of the European Commission) (available at http://bioval.jrc.ec.europa.eu/products/gam/download.htm, accessed August 2011) Nordhaus W D 2006 Geography and macroeconomics: new data and new findings Proc. Natl Acad. Sci. USA 103 3510-7 Popp A et al 2011 The economic potential of bioenergy for climate change mitigation with special attention given to implications for the land system Environ. Res. Lett. 6 034017 Schneider U A et al

  14. Improving of local ozone forecasting by integrated models.

    Science.gov (United States)

    Gradišar, Dejan; Grašič, Boštjan; Božnar, Marija Zlata; Mlakar, Primož; Kocijan, Juš

    2016-09-01

    This paper discuss the problem of forecasting the maximum ozone concentrations in urban microlocations, where reliable alerting of the local population when thresholds have been surpassed is necessary. To improve the forecast, the methodology of integrated models is proposed. The model is based on multilayer perceptron neural networks that use as inputs all available information from QualeAria air-quality model, WRF numerical weather prediction model and onsite measurements of meteorology and air pollution. While air-quality and meteorological models cover large geographical 3-dimensional space, their local resolution is often not satisfactory. On the other hand, empirical methods have the advantage of good local forecasts. In this paper, integrated models are used for improved 1-day-ahead forecasting of the maximum hourly value of ozone within each day for representative locations in Slovenia. The WRF meteorological model is used for forecasting meteorological variables and the QualeAria air-quality model for gas concentrations. Their predictions, together with measurements from ground stations, are used as inputs to a neural network. The model validation results show that integrated models noticeably improve ozone forecasts and provide better alert systems.

  15. A Preliminary Full Spectrum Magnetic Anomaly Database of the United States With Improved Long Wavelengths for Studying Continental Dynamics

    Science.gov (United States)

    Ravat, D.; Sabaka, T.; Elshayat, A.; Aref, A.; Elawadi, E.; Kucks, R.; Hill, P.; Phillips, J.; Finn, C.; Bouligand, C.; Blakely, R. J.

    2008-12-01

    Under an initiative started by Thomas G. Hildenbrand of the U. S. Geological Survey, we have improved the long-wavelength (50-2500 km) content of the regional magnetic anomaly compilation for the conterminous United States by utilizing a nearly homogeneous set of National Uranium Resource Evaluation (NURE) magnetic surveys flown from 1975 to 1981. The surveys were flown in quadrangles of 2° of longitude by 1° of latitude with E-W flight-lines spaced 4.8 to 9.6 km, N-S tie-lines variably spaced, and a nominal terrain clearance of 122 m. Many of the surveys used base-station magnetometers to remove external field variations. NURE surveys were originally processed with IGRF core-field models, which left behind non- uniform residual trends in the data and discontinuities at survey boundaries. In this study, in place of the IGRF/DGRF, we used a spatially and temporally continuous model of the magnetic field known as the Comprehensive Model (CM), which allowed us to avoid discontinuities at survey boundaries. The CM simultaneously models the core magnetic field and long-wavelength ionospheric and magnetospheric fields, along with their induced components in the earth. Because of the availability of base-stations for removing external fields, we removed only the core-derived geomagnetic field based on CM4 (spherical harmonic degree 13) for our compilation. The NURE data have short-wavelength (less than 30 km) noise due to cultural sources, base-station offsets, and residual external field effects. It is possible to reduce and even remove these defects by identifying and editing them and by applying leveling and micro-leveling. There are also many high resolution individual surveys over the U.S. which could be incorporated into the improved NURE database; however, this could take a few years. Therefore, we have created a preliminary full spectrum magnetic anomaly database by combining short-wavelength magnetic anomalies from the North American Magnetic Anomaly Map (NAMAM

  16. A procedure for Applying a Maturity Model to Process Improvement

    Directory of Open Access Journals (Sweden)

    Elizabeth Pérez Mergarejo

    2014-09-01

    Full Text Available A maturity model is an evolutionary roadmap for implementing the vital practices from one or moredomains of organizational process. The use of the maturity models is poor in the Latin-Americancontext. This paper presents a procedure for applying the Process and Enterprise Maturity Modeldeveloped by Michael Hammer [1]. The procedure is divided into three steps: Preparation, Evaluationand Improvement plan. The Hammer´s maturity model joint to the proposed procedure can be used byorganizations to improve theirs process, involving managers and employees.

  17. Process Correlation Analysis Model for Process Improvement Identification

    Directory of Open Access Journals (Sweden)

    Su-jin Choi

    2014-01-01

    software development process. However, in the current practice, correlations of process elements are often overlooked in the development of an improvement plan, which diminishes the efficiency of the plan. This is mainly attributed to significant efforts and the lack of required expertise. In this paper, we present a process correlation analysis model that helps identify correlations of process elements from the results of process assessment. This model is defined based on CMMI and empirical data of improvement practices. We evaluate the model using industrial data.

  18. Improvement of a near wake model for trailing vorticity

    DEFF Research Database (Denmark)

    Pirrung, Georg; Hansen, Morten Hartvig; Aagaard Madsen, Helge

    2014-01-01

    to temporal discretization, both regarding numerical stability and quality of the results. The modified near wake model is coupled to an aerodynamics model, which consists of a blade element momentum model with dynamic inflow for the far wake and a 2D shed vorticity model that simulates the unsteady buildup......A near wake model, originally proposed by Beddoes, is further developed. The purpose of the model is to account for the radially dependent time constants of the fast aerodynamic response and to provide a tip loss correction. It is based on lifting line theory and models the downwash due to roughly...... the first 90 degrees of rotation. This restriction of the model to the near wake allows for using a computationally efficient indicial function algorithm. The aim of this study is to improve the accuracy of the downwash close to the root and tip of the blade and to decrease the sensitivity of the model...

  19. Efficient Adoption and Assessment of Multiple Process Improvement Reference Models

    Directory of Open Access Journals (Sweden)

    Simona Jeners

    2013-06-01

    Full Text Available A variety of reference models such as CMMI, COBIT or ITIL support IT organizations to improve their processes. These process improvement reference models (IRMs cover different domains such as IT development, IT Services or IT Governance but also share some similarities. As there are organizations that address multiple domains and need to coordinate their processes in their improvement we present MoSaIC, an approach to support organizations to efficiently adopt and conform to multiple IRMs. Our solution realizes a semantic integration of IRMs based on common meta-models. The resulting IRM integration model enables organizations to efficiently implement and asses multiple IRMs and to benefit from synergy effects.

  20. Selection of productivity improvement techniques via mathematical modeling

    Directory of Open Access Journals (Sweden)

    Mahassan M. Khater

    2011-07-01

    Full Text Available This paper presents a new mathematical model to select an optimal combination of productivity improvement techniques. The proposed model of this paper considers four-stage cycle productivity and the productivity is assumed to be a linear function of fifty four improvement techniques. The proposed model of this paper is implemented for a real-world case study of manufacturing plant. The resulted problem is formulated as a mixed integer programming which can be solved for optimality using traditional methods. The preliminary results of the implementation of the proposed model of this paper indicate that the productivity can be improved through a change on equipments and it can be easily applied for both manufacturing and service industries.

  1. Modeling of biopharmaceutical processes. Part 2: Process chromatography unit operation

    DEFF Research Database (Denmark)

    Kaltenbrunner, Oliver; McCue, Justin; Engel, Philip;

    2008-01-01

    Process modeling can be a useful tool to aid in process development, process optimization, and process scale-up. When modeling a chromatography process, one must first select the appropriate models that describe the mass transfer and adsorption that occurs within the porous adsorbent...

  2. Improvements of the Analytical Model of Monte Carlo

    Institute of Scientific and Technical Information of China (English)

    HE Qing-Fang; XU Zheng; TENG Feng; LIU De-Ang; XU Xu-Rong

    2006-01-01

    @@ By extending the conduction band structure, we set up a new analytical model in ZnS. Compared the results with both the old analytical model and the full band model, it is found that they are possibly in reasonable agreement with the full band method and we can improve the calculation precision. Another important work is to reduce the programme computation time using the method of data fitting scattering rate curves.

  3. An improved market penetration model for wind energy technology forecasting

    Energy Technology Data Exchange (ETDEWEB)

    Lund, P.D. [Helsinki Univ. of Technology, Espoo (Finland). Advanced Energy Systems

    1995-12-31

    An improved market penetration model with application to wind energy forecasting is presented. In the model, a technology diffusion model and manufacturing learning curve are combined. Based on a 85% progress ratio that was found for European wind manufactures and on wind market statistics, an additional wind power capacity of ca 4 GW is needed in Europe to reach a 30 % price reduction. A full breakthrough to low-cost utility bulk power markets could be achieved at a 24 GW level. (author)

  4. A Preliminary, Full Spectrum, Magnetic Anomaly Grid of the United States with Improved Long Wavelengths for Studying Continental Dynamics

    Science.gov (United States)

    Ravat, Dhananjay; Korhonen, Juha

    2010-05-01

    Under an initiative started by Thomas G. Hildenbrand of the U.S. Geological Survey, we have improved the long-wavelength (50-2,500 km) content of the regional magnetic anomaly compilation for the conterminous United States by utilizing a nearly homogeneous set of National Uranium Resource Evaluation (NURE) magnetic surveys flown from 1975 to 1981. The surveys were flown in quadrangles of 2° of longitude by 1° of latitude with east-west flight lines spaced 4.8 to 9.6 km apart, north-south tie lines variably spaced, and a nominal terrain clearance of 122 m. The NURE surveys were processed using the Comprehensive Magnetic Field Model (Sabaka et al. 2004) to remove the core field for the epochs of the surveys. Many of the surveys used base-station magnetometers to remove external field variations. This NURE magnetic anomaly field is merged with the short-wavelengths from the North American Magnetic Anomaly Map (ca. 2002) to create a full spectrum database called NURE_NAMAM2008. http://pubs.usgs.gov/of/2009/1258/

  5. An improved equivalent circuit model of radial mode piezoelectric transformer.

    Science.gov (United States)

    Huang, Yihua; Huang, Wei

    2011-05-01

    In this paper, both the equivalent circuit models of the radial mode and the coupled thickness vibration mode of the radial mode piezoelectric transformer are deduced, and then with the Y-parameter matrix method and the dual-port network theory, an improved equivalent circuit model for the multilayer radial mode piezoelectric transformer is established. A radial mode transformer sample is tested to verify the equivalent circuit model. The experimental results show that the model proposed in this paper is more precise than the typical model.

  6. Dynamic simulation model for ultra supercritical 1 000 MW unit boilers%Dynamic simulation model for ultra supercritical 1000 MW unit boilers

    Institute of Scientific and Technical Information of China (English)

    XU Hui; XU Ershu

    2013-01-01

    On the basis of heat transfer characteristics of working fluid at different pressures inside the water wall tube and structure of the ultra supercritical 1 000 MW unit once through boiler in Jianbi Power Plant,the varying phase transformation point method was adopted to establish the moving-boundary dynamic simulation model of water wall in ultra supercritical once through boilers,especially the length variation of hot water section,evaporation section and superheat section against the load changing.On this basis,the real-time dynamic simulation model for ultra-supercritical 1 000 MW unit boiler in Jianbi Power Plant was built on the STAR-90 simulation platform.The dynamic and static characteristics test showed that,this model can simulate the unit's startup/shutdown process and some typical fault conditions accurately,and had good dynamic and static performance.

  7. INTEGRATED COST MODEL FOR IMPROVING THE PRODUCTION IN COMPANIES

    Directory of Open Access Journals (Sweden)

    Zuzana Hajduova

    2014-12-01

    Full Text Available Purpose: All processes in the company play important role in ensuring functional integrated management system. We point out the importance of need for a systematic approach to the use of quantitative, but especially statistical methods for modelling the cost of the improvement activities that are part of an integrated management system. Development of integrated management systems worldwide leads towards building of systematic procedures of implementation maintenance and improvement of all systems according to the requirements of all the sides involved.Methodology: Statistical evaluation of the economic indicators of improvement costs and the need for a systematic approach to their management in terms of integrated management systems have become a key role also in the management of processes in the company Cu Drôt, a.s. The aim of this publication is to highlight the importance of proper implementation of statistical methods in the process of improvement costs management in the integrated management system of current market conditions and document the legitimacy of a systematic approach in the area of monitoring and analysing indicators of improvement with the aim of the efficient process management of company. We provide specific example of the implementation of appropriate statistical methods in the production of copper wire in a company Cu Drôt, a.s. This publication also aims to create a model for the estimation of integrated improvement costs, which through the use of statistical methods in the company Cu Drôt, a.s. is used to support decision-making on improving efficiency.Findings: In the present publication, a method for modelling the improvement process, by an integrated manner, is proposed. It is a method in which the basic attributes of the improvement in quality, safety and environment are considered and synergistically combined in the same improvement project. The work examines the use of sophisticated quantitative, especially

  8. Republished paper: Improving safety culture on adult medical units through multidisciplinary teamwork and communication interventions: the TOPS Project.

    Science.gov (United States)

    Blegen, M A; Sehgal, N L; Alldredge, B K; Gearhart, S; Auerbach, A A; Wachter, R M

    2010-12-01

    The goal of this project was to improve unit-based safety culture through implementation of a multidisciplinary (pharmacy, nursing, medicine) teamwork and communication intervention. The Agency for Healthcare Research and Quality Hospital Survey on Patient Safety Culture was used to determine the impact of the training with a before-after design. Surveys were returned from 454 healthcare staff before the training and 368 staff 1 year later. Five of eleven safety culture subscales showed significant improvement. Nurses perceived a stronger safety culture than physicians or pharmacists. While it is difficult to isolate the effects of the team training intervention from other events occurring during the year between training and postevaluation, overall the intervention seems to have improved the safety culture on these medical units.

  9. Improved engineering-economic model of residential energy use. [1970-2000

    Energy Technology Data Exchange (ETDEWEB)

    Hirst, E.; Cope, J.; Cohn, S.; Lin, W.; Hoskins, R.

    1977-04-01

    An improved version of the ORNL residential energy use model was developed to simulate energy use in the residential sector from 1970 through 2000. The model provides considerable detail on annual energy uses by fuel, end use, and housing type; and also estimates annual equipment installations and ownership, equipment energy requirements, structural thermal integrities, fuel expenditures, equipment costs, and costs for improving thermal integrities on new and existing housing units. Thus, the model provides considerable detail on residential energy uses and associated costs. These details are useful for evaluating alternative energy conservation policies, programs, and technologies for their energy and economic effects during the next quarter century. The present version of the model deals with four fuels, eight end uses, and three housing types. Each of these 96 fuel use components is calculated each year as a function of stocks of occupied housing units and new construction, equipment ownership by fuel and end use, thermal integrity of housing units, average unit energy requirements for each equipment type, and usage factors that reflect household behavior. Simulations of energy use from 1960 to 1975 show that the model accurately predicts historical data on aggregate energy use, energy use by fuel, energy use by end use, and equipment ownership market-shares. A reference projection developed with the model shows residential energy use growing from 17.5 GGJ (10/sup 18/ joules) in 1975 to 18.5 GGJ in 1980 and 26.6 GGJ in 2000, with an average annual growth rate of 1.7 percent. Electricity increases its share of the energy budget from 44 percent in 1975 to 67 percent in 2000. Shares provided by gas, oil, and other fuels all decline during this period.

  10. Crop model improvement reduces the uncertainty of the response to temperature of multi-model ensembles

    DEFF Research Database (Denmark)

    Maiorano, Andrea; Martre, Pierre; Asseng, Senthold

    2017-01-01

    To improve climate change impact estimates and to quantify their uncertainty, multi-model ensembles (MMEs) have been suggested. Model improvements can improve the accuracy of simulations and reduce the uncertainty of climate change impact assessments. Furthermore, they can reduce the number of mo...

  11. Dedicated pediatric cardiac intensive care unit in a developing country: Does it improve the outcome?

    Directory of Open Access Journals (Sweden)

    Rakhi Balachandran

    2011-01-01

    Conclusions : Establishment of a dedicated pediatric cardiac intensive care unit has shown better outcomes in terms of earlier extubation, de-intensification, and discharge from the ICU. Blood stream infections were also reduced.

  12. An improved current control scheme for grid-connected DG unit based distribution system harmonic compensation

    DEFF Research Database (Denmark)

    He, Jinwei; Wei Li, Yun; Wang, Xiongfei;

    2013-01-01

    In order to utilize DG unit interfacing converters to actively compensate distribution system harmonics, this paper proposes an enhanced current control approach. It seamlessly integrates system harmonic mitigation capabilities with the primary DG power generation function. As the proposed curren...

  13. Improved Systematic Pointing Error Model for the DSN Antennas

    Science.gov (United States)

    Rochblatt, David J.; Withington, Philip M.; Richter, Paul H.

    2011-01-01

    New pointing models have been developed for large reflector antennas whose construction is founded on elevation over azimuth mount. At JPL, the new models were applied to the Deep Space Network (DSN) 34-meter antenna s subnet for corrections of their systematic pointing errors; it achieved significant improvement in performance at Ka-band (32-GHz) and X-band (8.4-GHz). The new models provide pointing improvements relative to the traditional models by a factor of two to three, which translate to approximately 3-dB performance improvement at Ka-band. For radio science experiments where blind pointing performance is critical, the new innovation provides a new enabling technology. The model extends the traditional physical models with higher-order mathematical terms, thereby increasing the resolution of the model for a better fit to the underlying systematic imperfections that are the cause of antenna pointing errors. The philosophy of the traditional model was that all mathematical terms in the model must be traced to a physical phenomenon causing antenna pointing errors. The traditional physical terms are: antenna axis tilts, gravitational flexure, azimuth collimation, azimuth encoder fixed offset, azimuth and elevation skew, elevation encoder fixed offset, residual refraction, azimuth encoder scale error, and antenna pointing de-rotation terms for beam waveguide (BWG) antennas. Besides the addition of spherical harmonics terms, the new models differ from the traditional ones in that the coefficients for the cross-elevation and elevation corrections are completely independent and may be different, while in the traditional model, some of the terms are identical. In addition, the new software allows for all-sky or mission-specific model development, and can utilize the previously used model as an a priori estimate for the development of the updated models.

  14. A Reliability Improvement Program Planning Report for the SNAP 10A Space Nuclear Power Unit

    Energy Technology Data Exchange (ETDEWEB)

    Coombs, M. G.; Smith, C. K.; Wilson, L. A.

    1961-03-14

    The estimated achieved reliability of SNAP 10A space nuclear power units will be relatively low at the timeof the first SNAPSHOT flight test in April 1963 and the existing R&D program does not provide a significant reliabiity growth thereafter. The total costs of an 8-satellite network using SNAP 10A units over a 5-year period has been approximated for the case where the total cost of a single satellite launched is 8 million dollars.

  15. Process correlation analysis model for process improvement identification.

    Science.gov (United States)

    Choi, Su-jin; Kim, Dae-Kyoo; Park, Sooyong

    2014-01-01

    Software process improvement aims at improving the development process of software systems. It is initiated by process assessment identifying strengths and weaknesses and based on the findings, improvement plans are developed. In general, a process reference model (e.g., CMMI) is used throughout the process of software process improvement as the base. CMMI defines a set of process areas involved in software development and what to be carried out in process areas in terms of goals and practices. Process areas and their elements (goals and practices) are often correlated due to the iterative nature of software development process. However, in the current practice, correlations of process elements are often overlooked in the development of an improvement plan, which diminishes the efficiency of the plan. This is mainly attributed to significant efforts and the lack of required expertise. In this paper, we present a process correlation analysis model that helps identify correlations of process elements from the results of process assessment. This model is defined based on CMMI and empirical data of improvement practices. We evaluate the model using industrial data.

  16. Quality and Growth Implications of Incremental Costing Models for Distance Education Units

    Science.gov (United States)

    Crawford, C. B.; Gould, Lawrence V.; King, Dennis; Parker, Carl

    2010-01-01

    The purpose of this article is to explore quality and growth implications emergent from various incremental costing models applied to distance education units. Prior research relative to costing models and three competing costing models useful in the current distance education environment are discussed. Specifically, the simple costing model, unit…

  17. Characterization of coarse particulate matter in the western United States: a comparison between observation and modeling

    Directory of Open Access Journals (Sweden)

    R. Li

    2013-02-01

    Full Text Available We provide a regional characterization of coarse particulate matter (PM10–2.5 spanning the western United States based on the analysis of measurements from 50 sites reported in the US EPA Air Quality System (AQS and two state agencies. We found that the observed PM10–2.5 concentrations show significant spatial variability and distinct spatial patterns, associated with the distributions of land use/land cover and soil moisture. The highest concentrations were observed in the southwestern US, where sparse vegetation, shrublands or barren lands dominate with lower soil moistures, whereas the lowest concentrations were observed in areas dominated by grasslands, forest, or croplands with higher surface soil moistures. The observed PM10–2.5 concentrations also show variable seasonal, weekly, and diurnal patterns, indicating a variety of sources and their relative importance at different locations. The observed results were compared to modeled PM10–2.5 concentrations from an annual simulation using the Community Multiscale Air Quality modeling system (CMAQ that has been designed for regulatory or policy assessments of a variety of pollutants including PM10, which consists of PM10–2.5 and fine particulate matter (PM2.5. The model under-predicts PM10–2.5 observations at 49 of 50 sites, among which 14 sites have annual observation means that are at least five times greater than model means. Model results also fail to reproduce their spatial patterns. Important sources (e.g. pollen, bacteria, fungal spores, and geogenic dust were not included in the emission inventory used and/or the applied emissions were greatly under-estimated. Unlike the observed patterns that are more complex, modeled PM10–2.5 concentrations show the similar seasonal, weekly, and diurnal pattern; the temporal allocations in the modeling system need improvement. CMAQ does

  18. Characterization of coarse particulate matter in the western United States: a comparison between observation and modeling

    Science.gov (United States)

    Li, R.; Wiedinmyer, C.; Baker, K. R.; Hannigan, M. P.

    2013-02-01

    We provide a regional characterization of coarse particulate matter (PM10-2.5) spanning the western United States based on the analysis of measurements from 50 sites reported in the US EPA Air Quality System (AQS) and two state agencies. We found that the observed PM10-2.5 concentrations show significant spatial variability and distinct spatial patterns, associated with the distributions of land use/land cover and soil moisture. The highest concentrations were observed in the southwestern US, where sparse vegetation, shrublands or barren lands dominate with lower soil moistures, whereas the lowest concentrations were observed in areas dominated by grasslands, forest, or croplands with higher surface soil moistures. The observed PM10-2.5 concentrations also show variable seasonal, weekly, and diurnal patterns, indicating a variety of sources and their relative importance at different locations. The observed results were compared to modeled PM10-2.5 concentrations from an annual simulation using the Community Multiscale Air Quality modeling system (CMAQ) that has been designed for regulatory or policy assessments of a variety of pollutants including PM10, which consists of PM10-2.5 and fine particulate matter (PM2.5). The model under-predicts PM10-2.5 observations at 49 of 50 sites, among which 14 sites have annual observation means that are at least five times greater than model means. Model results also fail to reproduce their spatial patterns. Important sources (e.g. pollen, bacteria, fungal spores, and geogenic dust) were not included in the emission inventory used and/or the applied emissions were greatly under-estimated. Unlike the observed patterns that are more complex, modeled PM10-2.5 concentrations show the similar seasonal, weekly, and diurnal pattern; the temporal allocations in the modeling system need improvement. CMAQ does not include organic materials in PM10-2.5; however, speciation measurements show that organics constitute a significant component

  19. Unit testing, model validation, and biological simulation [version 1; referees: 2 approved, 1 approved with reservations

    Directory of Open Access Journals (Sweden)

    Gopal P. Sarma

    2016-08-01

    Full Text Available The growth of the software industry has gone hand in hand with the development of tools and cultural practices for ensuring the reliability of complex pieces of software. These tools and practices are now acknowledged to be essential to the management of modern software. As computational models and methods have become increasingly common in the biological sciences, it is important to examine how these practices can accelerate biological software development and improve research quality. In this article, we give a focused case study of our experience with the practices of unit testing and test-driven development in OpenWorm, an open-science project aimed at modeling Caenorhabditis elegans. We identify and discuss the challenges of incorporating test-driven development into a heterogeneous, data-driven project, as well as the role of model validation tests, a category of tests unique to software which expresses scientific models.

  20. Modeling the impact of interventions against Acinetobacter baumannii transmission in intensive care units.

    Science.gov (United States)

    Doan, Tan N; Kong, David C M; Marshall, Caroline; Kirkpatrick, Carl M J; McBryde, Emma S

    2016-01-01

    The efficacy of infection control interventions against Acinetobacter baumannii remains unclear, despite such information being critical for effective prevention of the transmission of this pathogen. Mathematical modeling offers an alternative to clinical trials, which may be prohibitively expensive, unfeasible or unethical, in predicting the impact of interventions. Furthermore, it allows the ability to ask key "what if" questions to evaluate which interventions have the most impact. We constructed a transmission dynamic model to quantify the effects of interventions on reducing A. baumannii prevalence and the basic reproduction ratio (R0) in intensive care units (ICUs). We distinguished between colonization and infection, and incorporated antibiotic exposure and transmission from free-living bacteria in the environment. Under the assumptions and parameterization in our model, 25% and 18% of patients are colonized and infected with A. baumannii, respectively; and R0 is 1.4. Improved compliance with hand hygiene (≥87%), enhanced environmental cleaning, reduced length of ICU stay of colonized patients (≤ 10 days), shorter durations of antibiotic treatment of A. baumannii (≤6 days), and isolation of infected patients combined with cleaning of isolation rooms are effective, reducing R0 to below unity. In contrast, expediting the recovery of the intestinal microbiota (e.g. use of probiotics) is not effective. This study represents a biologically realistic model of the transmission dynamics of A. baumannii, and the most comprehensive analysis of the effectiveness of interventions against this pathogen. Our study provides important data for designing effective infection control interventions.

  1. The "Flipped Classroom" Model for Teaching in the Intensive Care Unit.

    Science.gov (United States)

    Tainter, Christopher R; Wong, Nelson L; Cudemus-Deseda, Gaston A; Bittner, Edward A

    2017-03-01

    The intensive care unit (ICU) is a dynamic and complex learning environment. The wide range in trainee's experience, specialty training, fluctuations in patient acuity and volume, limitations in trainee duty hours, and additional responsibilities of the faculty contribute to the challenge in providing a consistent experience with traditional educational strategies. The "flipped classroom" is an educational model with the potential to improve the learning environment. In this paradigm, students gain exposure to new material outside class and then use class time to assimilate the knowledge through problem-solving exercises or discussion. The rationale and pedagogical foundations for the flipped classroom are reviewed, practical considerations are discussed, and an example of successful implementation is provided. An education curriculum was devised and evaluated prospectively for teaching point-of-care echocardiography to residents rotating in the surgical ICU. Preintervention and postintervention scores of knowledge, confidence, perceived usefulness, and likelihood of use the skills improved for each module. The quality of the experience was rated highly for each of the sessions. The flipped classroom education curriculum has many advantages. This pilot study was well received, and learners showed improvement in all areas evaluated, across several demographic subgroups and self-identified learning styles.

  2. Kinetic models in industrial biotechnology - Improving cell factory performance.

    Science.gov (United States)

    Almquist, Joachim; Cvijovic, Marija; Hatzimanikatis, Vassily; Nielsen, Jens; Jirstrand, Mats

    2014-07-01

    An increasing number of industrial bioprocesses capitalize on living cells by using them as cell factories that convert sugars into chemicals. These processes range from the production of bulk chemicals in yeasts and bacteria to the synthesis of therapeutic proteins in mammalian cell lines. One of the tools in the continuous search for improved performance of such production systems is the development and application of mathematical models. To be of value for industrial biotechnology, mathematical models should be able to assist in the rational design of cell factory properties or in the production processes in which they are utilized. Kinetic models are particularly suitable towards this end because they are capable of representing the complex biochemistry of cells in a more complete way compared to most other types of models. They can, at least in principle, be used to in detail understand, predict, and evaluate the effects of adding, removing, or modifying molecular components of a cell factory and for supporting the design of the bioreactor or fermentation process. However, several challenges still remain before kinetic modeling will reach the degree of maturity required for routine application in industry. Here we review the current status of kinetic cell factory modeling. Emphasis is on modeling methodology concepts, including model network structure, kinetic rate expressions, parameter estimation, optimization methods, identifiability analysis, model reduction, and model validation, but several applications of kinetic models for the improvement of cell factories are also discussed.

  3. Health care managers' views on and approaches to implementing models for improving care processes.

    Science.gov (United States)

    Andreasson, Jörgen; Eriksson, Andrea; Dellve, Lotta

    2016-03-01

    To develop a deeper understanding of health-care managers' views on and approaches to the implementation of models for improving care processes. In health care, there are difficulties in implementing models for improving care processes that have been decided on by upper management. Leadership approaches to this implementation can affect the outcome. In-depth interviews with first- and second-line managers in Swedish hospitals were conducted and analysed using grounded theory. 'Coaching for participation' emerged as a central theme for managers in handling top-down initiated process development. The vertical approach in this coaching addresses how managers attempt to sustain unit integrity through adapting and translating orders from top management. The horizontal approach in the coaching refers to managers' strategies for motivating and engaging their employees in implementation work. Implementation models for improving care processes require a coaching leadership built on close manager-employee interaction, mindfulness regarding the pace of change at the unit level, managers with the competence to share responsibility with their teams and engaged employees with the competence to share responsibility for improving the care processes, and organisational structures that support process-oriented work. Implications for nursing management are the importance of giving nurse managers knowledge of change management. © 2015 John Wiley & Sons Ltd.

  4. Improvement of TNO type trailing edge noise models

    DEFF Research Database (Denmark)

    Fischer, Andreas; Bertagnolio, Franck; Aagaard Madsen, Helge

    2016-01-01

    The paper describes an improvement of the so-called TNO model to predict the noise emission from aerofoil sections due to the interaction of the boundary layer turbulence with the trailing edge. The surface pressure field close to the trailing edge acts as source of sound in the TNO model....... It is computed by solving a Poisson equation which includes flow turbulence cross correlation terms. Previously published TNO type models used the assumption of Blake to simplify the Poisson equation. This paper shows that the simplification should not be used. We present a new model which fully models...... the turbulence cross correlation terms. The predictions of the new model are in better agreement with measurements of the surface pressure and far field sound spectra. The computational cost of the new model is only slightly higher than the one of the TNO model, because we derived an analytical solution...

  5. Improved Ceiling and Visibility Forecasts from the US NOAA HRRR/RAP - Hydrometeor Assimilation and Modeling

    Science.gov (United States)

    Benjamin, Stan; Alexander, Curtis; Weygandt, Stephen; Brown, John; Smirnova, Tatiana; Hu, Ming; Kenyon, Jaymes; Olson, Joseph; James, Eric; Thompson, Greg

    2017-04-01

    Cloud microphysics fields in the US hourly updated weather models, the 13km Rapid Refresh (covering North America) and the 3km High-Resolution Rapid Refresh (covering the lower 48 United States) are used for explicitly derived guidance of ceiling and visibility. Recent changes to the RAP and HRRR models at NOAA's NCEP with improvements for ceiling/visibility fields occurred in August 2016. This coordinated upgrade (RAP version 3 and HRRR version 2, RAPv3/HRRRv2) includes enhancements to the data assimilation, model, and post-processing formulations. Key assimilation/modeling changes relevant to ceiling/visibility forecasts will be described toward the next NCEP operational implementation (RAPv4/HRRRv3), planned for early 2018. These include further enhancements to the model physics components (aerosol-aware Thompson microphysics, MYNN PBL scheme, Smirnova land-surface model), application of a new vertical coordinate), and possible merger with prognostic smoke/aerosol prediction.

  6. A Mathematical Model to Improve the Performance of Logistics Network

    Directory of Open Access Journals (Sweden)

    Muhammad Izman Herdiansyah

    2012-01-01

    Full Text Available The role of logistics nowadays is expanding from just providing transportation and warehousing to offering total integrated logistics. To remain competitive in the global market environment, business enterprises need to improve their logistics operations performance. The improvement will be achieved when we can provide a comprehensive analysis and optimize its network performances. In this paper, a mixed integer linier model for optimizing logistics network performance is developed. It provides a single-product multi-period multi-facilities model, as well as the multi-product concept. The problem is modeled in form of a network flow problem with the main objective to minimize total logistics cost. The problem can be solved using commercial linear programming package like CPLEX or LINDO. Even in small case, the solver in Excel may also be used to solve such model.Keywords: logistics network, integrated model, mathematical programming, network optimization

  7. A Mathematical Model to Improve the Performance of Logistics Network

    Directory of Open Access Journals (Sweden)

    Muhammad Izman Herdiansyah

    2012-01-01

    Full Text Available The role of logistics nowadays is expanding from just providing transportation and warehousing to offering total integrated logistics. To remain competitive in the global market environment, business enterprises need to improve their logistics operations performance. The improvement will be achieved when we can provide a comprehensive analysis and optimize its network performances. In this paper, a mixed integer linier model for optimizing logistics network performance is developed. It provides a single-product multi-period multi-facilities model, as well as the multi-product concept. The problem is modeled in form of a network flow problem with the main objective to minimize total logistics cost. The problem can be solved using commercial linear programming package like CPLEX or LINDO. Even in small case, the solver in Excel may also be used to solve such model.Keywords: logistics network, integrated model, mathematical programming, network optimization

  8. An integrated model for continuous quality improvement and productivity improvement in health services organizations.

    Science.gov (United States)

    Rakich, J S; Darr, K; Longest, B B

    1993-01-01

    The health services paradigm with respect to quality has shifted to that of conformance to requirements (the absence of defects) and fitness for use (meeting customer expectations and needs). This article presents an integrated model of continuous quality improvement (CQI) (often referred to as total quality management) and productivity improvement for health services organizations. It incorporates input-output theory and focuses on the CQI challenge--"How can we be certain that we do the right things right the first time, every time?" The twin pillars of CQI are presented. Achievement of both will result in productivity improvement and enhancement of the health services organization's competitive position.

  9. Improving the representation of hydrologic processes in Earth System Models

    Energy Technology Data Exchange (ETDEWEB)

    Clark, Martyn P. [National Center for Atmospheric Research, Boulder Colorado USA; Fan, Ying [Department of Earth and Planetary Sciences, Rutgers University, New Brunswick New Jersey USA; Lawrence, David M. [National Center for Atmospheric Research, Boulder Colorado USA; Adam, Jennifer C. [Department of Civil and Environmental Engineering, Washington State University, Pullman Washington USA; Bolster, Diogo [Department of Civil & Environmental Engineering and Earth Sciences, University of Notre Dame, South Bend Indiana USA; Gochis, David J. [National Center for Atmospheric Research, Boulder Colorado USA; Hooper, Richard P. [The Consortium of Universities for the Advancement of Hydrologic Science, Inc.; Kumar, Mukesh [Nichols Schools of Environment, Duke University, Durham North Carolina USA; Leung, L. Ruby [Pacific Northwest National Laboratory, Richland Washington USA; Mackay, D. Scott [Department of Geography, University at Buffalo, State University of New York, Buffalo New York USA; Maxwell, Reed M. [Department of Geology and Geological Engineering, Colorado School of Mines, Golden Colorado USA; Shen, Chaopeng [Department of Civil and Environmental Engineering, Pennsylvania State University, State College Pennsylvania USA; Swenson, Sean C. [National Center for Atmospheric Research, Boulder Colorado USA; Zeng, Xubin [Department of Atmospheric Sciences, University of Arizona, Tucson Arizona USA

    2015-08-21

    Many of the scientific and societal challenges in understanding and preparing for global environmental change rest upon our ability to understand and predict the water cycle change at large river basin, continent, and global scales. However, current large-scale models, such as the land components of Earth System Models (ESMs), do not yet represent the terrestrial water cycle in a fully integrated manner or resolve the finer-scale processes that can dominate large-scale water budgets. This paper reviews the current representation of hydrologic processes in ESMs and identifies the key opportunities for improvement. This review suggests that (1) the development of ESMs has not kept pace with modeling advances in hydrology, both through neglecting key processes (e.g., groundwater) and neglecting key aspects of spatial variability and hydrologic connectivity; and (2) many modeling advances in hydrology can readily be incorporated into ESMs and substantially improve predictions of the water cycle. Accelerating modeling advances in ESMs requires comprehensive hydrologic benchmarking activities, in order to systematically evaluate competing modeling alternatives, understand model weaknesses, and prioritize model development needs. This demands stronger collaboration, both through greater engagement of hydrologists in ESM development and through more detailed evaluation of ESM processes in research watersheds. Advances in the representation of hydrologic process in ESMs can substantially improve energy, carbon and nutrient cycle prediction capabilities through the fundamental role the water cycle plays in regulating these cycles.

  10. Improved Bounded Model Checking for the Universal Fragment of CTL

    Institute of Scientific and Technical Information of China (English)

    Liang Xu; Wei Chen; Yan-Yan Xu; Wen-Hui Zhang

    2009-01-01

    SAT-based bounded model checking (BMC) has been introduced as a complementary technique to BDD-based symbolic model checking in recent years, and a lot of successful work has been done in this direction. The approach was first introduced by A. Biere et al. in checking linear temporal logic (LTL) formulae and then also adapted to check formulae of the universal fragment of computation tree logic (ACTL) by W. Penczek et al. As the efficiency of model checking is still an important issue, we present an improved BMC approach for ACTL based on Penczek's method. We consider two aspects of the approach. One is reduction of the number of variables and transitions in the k-model by distinguishing the temporal operator EX from the others. The other is simplification of the transformation of formulae by using uniform path encoding instead of a disjunction of all paths needed in the k-model. With these improvements, for an ACTI, formula, the length of the final encoding of the formula in the worst case is reduced. The improved approach is implemented in the tool BMV and is compared with the original one by applying both to two well known examples, mutual exclusion and dining philosophers. The comparison shows the advantages of the improved approach with respect to the efficiency of model checking.

  11. Modeling of Flood Risk for the Continental United States

    Science.gov (United States)

    Lohmann, D.; Li, S.; Katz, B.; Goteti, G.; Kaheil, Y. H.; Vojjala, R.

    2011-12-01

    The science of catastrophic risk modeling helps people to understand the physical and financial implications of natural catastrophes (hurricanes, flood, earthquakes, etc.), terrorism, and the risks associated with changes in life expectancy. As such it depends on simulation techniques that integrate multiple disciplines such as meteorology, hydrology, structural engineering, statistics, computer science, financial engineering, actuarial science, and more in virtually every field of technology. In this talk we will explain the techniques and underlying assumptions of building the RMS US flood risk model. We especially will pay attention to correlation (spatial and temporal), simulation and uncertainty in each of the various components in the development process. Recent extreme floods (e.g. US Midwest flood 2008, US Northeast flood, 2010) have increased the concern of flood risk. Consequently, there are growing needs to adequately assess the flood risk. The RMS flood hazard model is mainly comprised of three major components. (1) Stochastic precipitation simulation module based on a Monte-Carlo analogue technique, which is capable of producing correlated rainfall events for the continental US. (2) Rainfall-runoff and routing module. A semi-distributed rainfall-runoff model was developed to properly assess the antecedent conditions, determine the saturation area and runoff. The runoff is further routed downstream along the rivers by a routing model. Combined with the precipitation model, it allows us to correlate the streamflow and hence flooding from different rivers, as well as low and high return-periods across the continental US. (3) Flood inundation module. It transforms the discharge (output from the flow routing) into water level, which is further combined with a two-dimensional off-floodplain inundation model to produce comprehensive flood hazard map. The performance of the model is demonstrated by comparing to the observation and published data. Output from

  12. Improved Analysis of Long-Term Monitoring Data Demonstrates Marked Regional Declines of Bat Populations in the Eastern United States.

    Directory of Open Access Journals (Sweden)

    Thomas E Ingersoll

    Full Text Available Bats are diverse and ecologically important, but are also subject to a suite of severe threats. Evidence for localized bat mortality from these threats is well-documented in some cases, but long-term changes in regional populations of bats remain poorly understood. Bat hibernation surveys provide an opportunity to improve understanding, but analysis is complicated by bats' cryptic nature, non-conformity of count data to assumptions of traditional statistical methods, and observation heterogeneities such as variation in survey timing. We used generalized additive mixed models (GAMMs to account for these complicating factors and to evaluate long-term, regional population trajectories of bats. We focused on four hibernating bat species - little brown myotis (Myotis lucifugus, tri-colored bat (Perimyotis subflavus, Indiana myotis (M. sodalis, and northern myotis (M. septentrionalis - in a four-state region of the eastern United States during 1999-2011. Our results, from counts of nearly 1.2 million bats, suggest that cumulative declines in regional relative abundance by 2011 from peak levels were 71% (with 95% confidence interval of ±11% in M. lucifugus, 34% (±38% in P. subflavus, 30% (±26% in M. sodalis, and 31% (±18% in M. septentrionalis. The M. lucifugus population fluctuated until 2004 before persistently declining, and the populations of the other three species declined persistently throughout the study period. Population trajectories suggest declines likely resulted from the combined effect of multiple threats, and indicate a need for enhanced conservation efforts. They provide strong support for a change in the IUCN Red List conservation status in M. lucifugus from Least Concern to Endangered within the study area, and are suggestive of a need to change the conservation status of the other species. Our modeling approach provided estimates of uncertainty, accommodated non-linearities, and controlled for observation heterogeneities, and

  13. An improved car-following model considering relative velocity fluctuation

    Science.gov (United States)

    Yu, Shaowei; Shi, Zhongke

    2016-07-01

    To explore and evaluate the impacts of relative velocity fluctuation on the dynamic characteristics and fuel consumptions of traffic flow, we present an improved car-following model considering relative velocity fluctuation based on the full velocity difference model, then we carry out several numerical simulations to determine the optimal time window length and to explore how relative velocity fluctuation affects cars' velocity and its fluctuation as well as fuel consumptions. It can be found that the improved car-following model can describe the phase transition of traffic flow and estimate the evolution of traffic congestion, and that taking relative velocity fluctuation into account in designing the advanced adaptive cruise control strategy can improve the traffic flow stability and reduce fuel consumptions.

  14. MODELING THE DEMAND FOR E85 IN THE UNITED STATES

    Energy Technology Data Exchange (ETDEWEB)

    Liu, Changzheng [ORNL; Greene, David L [ORNL

    2013-10-01

    How demand for E85 might evolve in the future in response to changing economics and policies is an important subject to include in the National Energy Modeling System (NEMS). This report summarizes a study to develop an E85 choice model for NEMS. Using the most recent data from the states of Minnesota, North Dakota, and Iowa, this study estimates a logit model that represents E85 choice as a function of prices of E10 and E85, as well as fuel availability of E85 relative to gasoline. Using more recent data than previous studies allows a better estimation of non-fleet demand and indicates that the price elasticity of E85 choice appears to be higher than previously estimated. Based on the results of the econometric analysis, a model for projecting E85 demand at the regional level is specified. In testing, the model produced plausible predictions of US E85 demand to 2040.

  15. Quarkonium Production in an Improved Color Evaporation Model

    CERN Document Server

    Ma, Yan-Qing

    2016-01-01

    We propose an improved version of the color evaporation model to describe heavy quarkonium production. In contrast to the traditional color evaporation model, we impose the constraint that the invariant mass of the intermediate heavy quark-antiquark pair to be larger than the mass of produced quarkonium. We also introduce a momentum shift between heavy quark-antiquark pair and the quarkonium. Numerical calculations show that our model can describe the charmonium yields as well as ratio of $\\psi^\\prime$ over $J/\\psi$ better than the traditional color evaporation model.

  16. Implementing a business improvement model based on integrated plant information

    Directory of Open Access Journals (Sweden)

    Swanepoel, Hendrika Francina

    2016-11-01

    Full Text Available The World Energy Council defines numerous challenges in the global energy arena that put pressure on owners and /operators to operate run existing plant better and more efficiently. As such there is an increasing focus on the use of business and technical plant information and data to make better, more integrated, and more informed decisions on the plant. The research study developed a business improvement model (BIM that can be used to establish an integrated plant information management infrastructure as the core foundation for of business improvement initiatives. Operational research then demonstrated how this BIM approach could be successfully implemented to improve business operations and provide decision-making insight.

  17. Using evidence to improve satisfaction with medication side-effects education on a neuro-medical surgical unit.

    Science.gov (United States)

    Ahrens, Susan L; Wirges, Ashley M

    2013-10-01

    Patient satisfaction is viewed as a significant indicator of quality of care. More specifically, improving patient satisfaction related to communication about medications and potential side effects can improve healthcare outcomes. Patient satisfaction scores related to medication side effects on a neuro-medical surgical unit were monitored following a quality improvement program. These patients frequently experience cognitive impairment and functional difficulties that can affect the way they understand and handle medications. The purpose of this quality improvement practice change was to (a) develop an educational approach for post acute neurosurgical patients and (b) evaluate whether the use of the approach is successful in improving patient satisfaction scores related to medication education on side effects. The quality improvement program interventions included (a) patient informational handouts inserted into admission folders, (b) nurse education about the importance of providing education on side effects to patient and discussion of their involvement with the program, (c) unit flyers with nurse education, and (d) various communications with bedside nurses through personal work mail and emails. The primary focus was for nurses to employ the "teach back" method to review and reinforce the medication side-effect teaching with patients. Evaluation of the data showed an increase in patient satisfaction after the implementation of the "Always Ask" program.

  18. Penjadwalan Perencanaan Produksi Produk Mixed Model Pada Refrigerator Business Unit Di Perusahaan Elektronik Jakarta

    OpenAIRE

    Rinaldi, Dendi

    2011-01-01

    Perusahaan elektronik di Jakarta merupakan salah satu perusahaan yang memiliki enam business unit yaitu Refrigerator, Audio, Electric Fan, Air Conditioner, Water Pump, dan Loundry System. Dalam menjalankan produksi khususnya pada Refrigerator Business Unit, perusahaan mengalami permasalahan pada penjadwalan produksinya karena terdapat 30 model yang diproduksi sesuai permintaan menyebabkan perusahaan sulit untuk melakukan penjadwalan. Salah satu penjadwalan yang dipakai dalam sistem produks...

  19. A mathematical model of amphibian skin epithelium with two types of transporting cellular units

    DEFF Research Database (Denmark)

    Larsen, Erik Hviid; Rasmussen, B E

    1985-01-01

    A computer model of ion transport across amphibian skin epithelium containing two types of cellular units, their relative number and sizes, and a paracellular pathway has been developed. The two cellular units are, a large Na+ transporting compartment representing the major epithelium from stratum...

  20. Improvement and optimal design of RGB LED backlight unit using a genetic algorithm

    Science.gov (United States)

    Fan, Yi-Hua; Lee, Ying-Tsun; Liao, Yi-Lin; Fu, Chung-Chin

    2010-08-01

    To reduce the cost of LCD backlight unit (BLU) and raise efficiency, a direct LED BLU consisted of double-triangular structures was proposed to control the light from RGB side emitting LEDs. A genetic algorithm was used to search the optimal parameters of the shape of the double-triangular structures and the layout of the LEDs. A switch mode constant current control driver with a PWM controlled converter switch was used to maintaining the constant current output for the variable numbers of the LEDs in this paper. From the simulation results showed that without the diffuser, the brightness uniformity on the 25-point test was 93.44% for a 22" direct LED backlight unit with a thickness of 30mm with the optimized double-triangular structure. And the experiment result showed that the brightness uniformity and color uniformity were 85.61% and 0.021 for a small size test unit.

  1. ANALISIS KEPUASAN PEGAWAI TERHADAP LAYANAN UNIT SISTEM INFORMASI MENGGUNAKAN TECHNOLOGY ACCEPTANCE MODEL DI PT KERETA API INDONESIA (PERSERO

    Directory of Open Access Journals (Sweden)

    Yuda Yuliana

    2016-09-01

    Full Text Available Abstract Satisfaction in work is an individual thing. Each individual will have a level of satisfaction varies according to the system of values prevailing in him. This study was conducted to determine the level of employee satisfaction with the services in the information systems unit PT Kereta Api Indonesia (Persero in order to get results that can make service information systems unit to be better again. Based on the analysis of Multiple Linear Regression method Technology Acceptance Model , obtained the result that the employees satisfied with the usability factor ( Perceived Usefulness the variable Perceived Usefulness and Perceived Ease of Use influencing variable Attitude Toward Using With his existing results of scientific research , the expected improvement in the quality of services provided to the employee information systems unit.   Keywords: Employee Satisfaction, Perceived Usefulness, Perceived Ease of Use, Attitude Toward Using.

  2. COMPUTER- AIDED MODELING AND IMPROVING OF RISOGRAPH PRINTING

    Directory of Open Access Journals (Sweden)

    P. E. Sulim

    2014-01-01

    Full Text Available The considered improvement of qualit y of the risofraph print based on a mathematical model in the environment Matlab by using the specialized algorithms and digital filter of the Image Processing Toolbox. Use the model of screen printing in Matlab environment for risograph provide an opportunit y to improve the qualit y of prints by adjusting profile risograph to a specific view and the t ype of digital image. The use of the proposed technology will reduce the flow of the film and the paint by eliminating printing test prints and reducing the time spent printing.

  3. Improvement of Continuous Hydrologic Models and HMS SMA Parameters Reduction

    Science.gov (United States)

    Rezaeian Zadeh, Mehdi; Zia Hosseinipour, E.; Abghari, Hirad; Nikian, Ashkan; Shaeri Karimi, Sara; Moradzadeh Azar, Foad

    2010-05-01

    Hydrological models can help us to predict stream flows and associated runoff volumes of rainfall events within a watershed. There are many different reasons why we need to model the rainfall-runoff processes of for a watershed. However, the main reason is the limitation of hydrological measurement techniques and the costs of data collection at a fine scale. Generally, we are not able to measure all that we would like to know about a given hydrological systems. This is very particularly the case for ungauged catchments. Since the ultimate aim of prediction using models is to improve decision-making about a hydrological problem, therefore, having a robust and efficient modeling tool becomes an important factor. Among several hydrologic modeling approaches, continuous simulation has the best predictions because it can model dry and wet conditions during a long-term period. Continuous hydrologic models, unlike event based models, account for a watershed's soil moisture balance over a long-term period and are suitable for simulating daily, monthly, and seasonal streamflows. In this paper, we describe a soil moisture accounting (SMA) algorithm added to the hydrologic modeling system (HEC-HMS) computer program. As is well known in the hydrologic modeling community one of the ways for improving a model utility is the reduction of input parameters. The enhanced model developed in this study is applied to Khosrow Shirin Watershed, located in the north-west part of Fars Province in Iran, a data limited watershed. The HMS SMA algorithm divides the potential path of rainfall onto a watershed into five zones. The results showed that the output of HMS SMA is insensitive with the variation of many parameters such as soil storage and soil percolation rate. The study's objective is to remove insensitive parameters from the model input using Multi-objective sensitivity analysis. Keywords: Continuous Hydrologic Modeling, HMS SMA, Multi-objective sensitivity analysis, SMA Parameters

  4. Short-term bulk energy storage system scheduling for load leveling in unit commitment: modeling, optimization, and sensitivity analysis.

    Science.gov (United States)

    Hemmati, Reza; Saboori, Hedayat

    2016-05-01

    Energy storage systems (ESSs) have experienced a very rapid growth in recent years and are expected to be a promising tool in order to improving power system reliability and being economically efficient. The ESSs possess many potential benefits in various areas in the electric power systems. One of the main benefits of an ESS, especially a bulk unit, relies on smoothing the load pattern by decreasing on-peak and increasing off-peak loads, known as load leveling. These devices require new methods and tools in order to model and optimize their effects in the power system studies. In this respect, this paper will model bulk ESSs based on the several technical characteristics, introduce the proposed model in the thermal unit commitment (UC) problem, and analyze it with respect to the various sensitive parameters. The technical limitations of the thermal units and transmission network constraints are also considered in the model. The proposed model is a Mixed Integer Linear Programming (MILP) which can be easily solved by strong commercial solvers (for instance CPLEX) and it is appropriate to be used in the practical large scale networks. The results of implementing the proposed model on a test system reveal that proper load leveling through optimum storage scheduling leads to considerable operation cost reduction with respect to the storage system characteristics.

  5. Improved Generalized Force Model considering the Comfortable Driving Behavior

    Directory of Open Access Journals (Sweden)

    De-Jie Xu

    2015-01-01

    Full Text Available This paper presents an improved generalized force model (IGFM that considers the driver’s comfortable driving behavior. Through theoretical analysis, we propose the calculation methods of comfortable driving distance and velocity. Then the stability condition of the model is obtained by the linear stability analysis. The problems of the unrealistic acceleration of the leading car existing in the previous models were solved. Furthermore, the simulation results show that IGFM can predict correct delay time of car motion and kinematic wave speed at jam density, and it can exactly describe the driver’s behavior under an urgent case, where no collision occurs. The dynamic properties of IGFM also indicate that stability has improved compared to the generalized force model.

  6. Model for estimating enteric methane emissions from United States dairy and feedlot cattle.

    Science.gov (United States)

    Kebreab, E; Johnson, K A; Archibeque, S L; Pape, D; Wirth, T

    2008-10-01

    Methane production from enteric fermentation in cattle is one of the major sources of anthropogenic greenhouse gas emission in the United States and worldwide. National estimates of methane emissions rely on mathematical models such as the one recommended by the Intergovernmental Panel for Climate Change (IPCC). Models used for prediction of methane emissions from cattle range from empirical to mechanistic with varying input requirements. Two empirical and 2 mechanistic models (COWPOLL and MOLLY) were evaluated for their prediction ability using individual cattle measurements. Model selection was based on mean square prediction error (MSPE), concordance correlation coefficient, and residuals vs. predicted values analyses. In dairy cattle, COWPOLL had the lowest root MSPE and greatest accuracy and precision of predicting methane emissions (correlation coefficient estimate = 0.75). The model simulated differences in diet more accurately than the other models, and the residuals vs. predicted value analysis showed no mean bias (P = 0.71). In feedlot cattle, MOLLY had the lowest root MSPE with almost all errors from random sources (correlation coefficient estimate = 0.69). The IPCC model also had good agreement with observed values, and no significant mean (P = 0.74) or linear bias (P = 0.11) was detected when residuals were plotted against predicted values. A fixed methane conversion factor (Ym) might be an easier alternative to diet-dependent variable Ym. Based on the results, the 2 mechanistic models were used to simulate methane emissions from representative US diets and were compared with the IPCC model. The average Ym in dairy cows was 5.63% of GE (range 3.78 to 7.43%) compared with 6.5% +/- 1% recommended by IPCC. In feedlot cattle, the average Ym was 3.88% (range 3.36 to 4.56%) compared with 3% +/- 1% recommended by IPCC. Based on our simulations, using IPCC values can result in an overestimate of about 12.5% and underestimate of emissions by about 9.8% for

  7. Fault tree modeling of AAC power source in multi-unit nuclear power plants PSA

    Energy Technology Data Exchange (ETDEWEB)

    Han, Sang Hoon; Lim, Ho-Gon [Korea Atomic Energy Research Institute, Daejeon (Korea, Republic of)

    2015-10-15

    Dependencies between units are important to estimate a risk of a multi-unit site. One of dependencies is a shared system such as an alternating AC (AAC) power source. Because one AAC can support a single unit, it is necessary to appropriately treat such behavior of the AAC in multi-unit probabilistic safety assessment (PSA). The behavior of AAC in multi-unit site would show dynamic characteristics. For example, several units require the AAC at the same time. It is hard to decide which unit the AAC is connected to. It can vary depending on timing of station blackout (SBO), with time delay when emergency diesel generators fail while running. It is not easy to handle dynamic behavior using the static fault tree methodology. Typical way of estimating risk for multi-unit regarding to AAC is to assume that only one unit has AAC and the others does not. KIM calculates the risk for each unit and uses the average value from the results. Jung derives an equation to calculate the SBO frequency by considering all the combination of loss of offsite power and failure of emergency diesel generators in multi-unit site. It is also assumed that the AAC is connected to a pre-decided unit. We are developing a PSA model for multi-unit site for internal and external events. An extreme external hazard may result in loss of all offsite power in a site, where the appropriate modeling of an AAC becomes important. The static fault tree methodology is not good for dynamic situation. But, it can turn into a simple problem if an assumption is made: - The connecting order of AAC is pre-decided. This study provides an idea how to model AAC for each unit in the form of a fault tree, assuming the connecting order of AAC is given. This study illustrates how to model a fault tree for AAC in a multi-unit site. It provides an idea how to handle a shared system in multi-unit PSA, for such a case as loss of all offsite power in a site due to an extreme external hazard.

  8. Improved Testing and Specifivations of Smooth Transition Regression Models

    OpenAIRE

    Escribano, Álvaro; Jordá, Óscar

    1997-01-01

    This paper extends previous work in Escribano and Jordá (1997)and introduces new LM specification procedures to choose between Logistic and Exponential Smooth Transition Regression (STR)Models. These procedures are simpler, consistent and more powerful than those previously available in the literature. An analysis of the properties of Taylor approximations around the transition function of STR models permits one to understand why these procedures work better and it suggests ways to improve te...

  9. Improved inference on cointegrating vectors in the presence of a near unit root using adjusted quantiles

    DEFF Research Database (Denmark)

    Franchi, Massimo; Johansen, Søren

    2017-01-01

    It is well known that inference on the cointegrating relations in a vector autoregression (CVAR) is difficult in the presence of a near unit root. The test for a given cointegration vector can have rejection probabilities under the null, which vary from the nominal size to more than 90%. This paper...

  10. Ileus development in the trauma/surgical intensive care unit: a process improvement evaluation.

    Science.gov (United States)

    Phipps, Marcy; Bush, Jeffrey A; Buhrow, Dianne; Tittle, Mary B; Singh, Deepak; Harcombe, Julianne; Riddle, Evanthia

    2011-01-01

    Ileus development has been associated with a wide range of complications among hospitalized patients, ranging from increased patient pain and discomfort to malnutrition, aspiration, delayed rehabilitation, and sepsis. This article examines factors that appeared to correlate with an increase in ileus development among patients in a trauma/surgical intensive care unit, with the goal of preventing the condition through nursing practice changes.

  11. Computers in hospital management and improvements in patients care--new trends in the United States.

    Science.gov (United States)

    Pierskalla, W P; Woods, D

    1988-12-01

    This article discusses the current state of informations systems in hospital management. Decision Support Systems (DSS) for the management, administrative and patient care units of the hospital are described. These DSS's include market planning, nurse scheduling and blood screening systems. Trends for future uses of information systems in the hospital environment are addressed.

  12. Using supply chain management to enable GIS units to improve their response to their customers' needs

    CSIR Research Space (South Africa)

    Schmitz, Peter MU

    2008-09-01

    Full Text Available (2000) also indicated that there will be several management tools available to assist GIS units to enable them to manage themselves successfully. This paper discusses such a management tool, namely supply chain management. Supply chain management is used...

  13. Treatment and rehabilitation on a stroke unit improves 5-year survival. A community-based study

    DEFF Research Database (Denmark)

    Jørgensen, H S; Kammersgaard, L P; Nakayama, H

    1999-01-01

    We have previously reported a marked reduction in mortality up to 1 year after treatment and rehabilitation on a stroke unit versus on general neurological and medical wards in unselected stroke patients. In the present study we wanted to test the hypothesis that this mortality-reducing effect...

  14. An improved turbulence model for rotating shear flows*

    Science.gov (United States)

    Nagano, Yasutaka; Hattori, Hirofumi

    2002-01-01

    In the present study, we construct a turbulence model based on a low-Reynolds-number non-linear k e model for turbulent flows in a rotating channel. Two-equation models, in particular the non-linear k e model, are very effective for solving various flow problems encountered in technological applications. In channel flows with rotation, however, the explicit effects of rotation only appear in the Reynolds stress components. The exact equations for k and e do not have any explicit terms concerned with the rotation effects. Moreover, the Coriolis force vanishes in the momentum equation for a fully developed channel flow with spanwise rotation. Consequently, in order to predict rotating channel flows, after proper revision the Reynolds stress equation model or the non-linear eddy viscosity model should be used. In this study, we improve the non-linear k e model so as to predict rotating channel flows. In the modelling, the wall-limiting behaviour of turbulence is also considered. First, we evaluated the non-linear k e model using the direct numerical simulation (DNS) database for a fully developed rotating turbulent channel flow. Next, we assessed the non-linear k e model at various rotation numbers. Finally, on the basis of these assessments, we reconstruct the non-linear k e model to calculate rotating shear flows, and the proposed model is tested on various rotation number channel flows. The agreement with DNS and experiment data is quite satisfactory.

  15. Combined Thickness of the Modeled Saddle Mountains Basalt and Mabton Interbed Geomodel Units (smthk_f)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The smthk_f grid represents the modeled combined thickness of the Saddle Mountains Basalt and Mabton interbed geomodel units at a 500 foot resolution. It is one grid...

  16. Geothermal Favorability Map Derived From Logistic Regression Models of the Western United States (favorabilitysurface.zip)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This is a surface showing relative favorability for the presence of geothermal systems in the western United States. It is an average of 12 models that correlates...

  17. Modeling Units of Assessment for Sharing Assessment Process Information: towards an Assessment Process Specification

    NARCIS (Netherlands)

    Miao, Yongwu; Sloep, Peter; Koper, Rob

    2009-01-01

    Miao, Y., Sloep, P. B., & Koper, R. (2008). Modeling Units of Assessment for Sharing Assessment Process Information: towards an Assessment Process Specification. Presentation at the ICWL 2008 conference. August, 20, 2008, Jinhua, China.

  18. Modeling of drug release from multi-unit dosage tablets of theophylline

    African Journals Online (AJOL)

    SERVER

    2007-11-19

    Nov 19, 2007 ... dissolution profiles were measured to investigate consistence with the model. ... systems of small discrete individual units such as pellets, granules ..... were determined individually with the Monsanto hardness tester, following ...

  19. Improving surgeon utilization in an orthopedic department using simulation modeling

    Directory of Open Access Journals (Sweden)

    Simwita YW

    2016-10-01

    Full Text Available Yusta W Simwita, Berit I Helgheim Department of Logistics, Molde University College, Molde, Norway Purpose: Worldwide more than two billion people lack appropriate access to surgical services due to mismatch between existing human resource and patient demands. Improving utilization of existing workforce capacity can reduce the existing gap between surgical demand and available workforce capacity. In this paper, the authors use discrete event simulation to explore the care process at an orthopedic department. Our main focus is improving utilization of surgeons while minimizing patient wait time.Methods: The authors collaborated with orthopedic department personnel to map the current operations of orthopedic care process in order to identify factors that influence poor surgeons utilization and high patient waiting time. The authors used an observational approach to collect data. The developed model was validated by comparing the simulation output with the actual patient data that were collected from the studied orthopedic care process. The authors developed a proposal scenario to show how to improve surgeon utilization.Results: The simulation results showed that if ancillary services could be performed before the start of clinic examination services, the orthopedic care process could be highly improved. That is, improved surgeon utilization and reduced patient waiting time. Simulation results demonstrate that with improved surgeon utilizations, up to 55% increase of future demand can be accommodated without patients reaching current waiting time at this clinic, thus, improving patient access to health care services.Conclusion: This study shows how simulation modeling can be used to improve health care processes. This study was limited to a single care process; however the findings can be applied to improve other orthopedic care process with similar operational characteristics. Keywords: waiting time, patient, health care process

  20. Modeling, dependence, classification, united statistical science, many cultures

    CERN Document Server

    Parzen, Emanuel

    2012-01-01

    Breiman (2001) proposed to statisticians awareness of two cultures: 1. Parametric modeling culture, pioneered by R.A.Fisher and Jerzy Neyman; 2. Algorithmic predictive culture, pioneered by machine learning research. Parzen (2001), as a part of discussing Breiman (2001), proposed that researchers be aware of many cultures, including the focus of our research: 3. Nonparametric, quantile based, information theoretic modeling. Our research seeks to unify statistical problem solving in terms of comparison density, copula density, measure of dependence, correlation, information, new measures (called LP score comoments) that apply to long tailed distributions with out finite second order moments. A very important goal is to unify methods for discrete and continuous random variables. We are actively developing these ideas, which have a history of many decades, since Parzen (1979, 1983) and Eubank et al. (1987). Our research extends these methods to modern high dimensional data modeling.

  1. Geodesy- and geology-based slip-rate models for the Western United States (excluding California) national seismic hazard maps

    Science.gov (United States)

    Petersen, Mark D.; Zeng, Yuehua; Haller, Kathleen M.; McCaffrey, Robert; Hammond, William C.; Bird, Peter; Moschetti, Morgan; Shen, Zhengkang; Bormann, Jayne; Thatcher, Wayne

    2014-01-01

    The 2014 National Seismic Hazard Maps for the conterminous United States incorporate additional uncertainty in fault slip-rate parameter that controls the earthquake-activity rates than was applied in previous versions of the hazard maps. This additional uncertainty is accounted for by new geodesy- and geology-based slip-rate models for the Western United States. Models that were considered include an updated geologic model based on expert opinion and four combined inversion models informed by both geologic and geodetic input. The two block models considered indicate significantly higher slip rates than the expert opinion and the two fault-based combined inversion models. For the hazard maps, we apply 20 percent weight with equal weighting for the two fault-based models. Off-fault geodetic-based models were not considered in this version of the maps. Resulting changes to the hazard maps are generally less than 0.05 g (acceleration of gravity). Future research will improve the maps and interpret differences between the new models.

  2. An improved optimal elemental method for updating finite element models

    Institute of Scientific and Technical Information of China (English)

    Duan Zhongdong(段忠东); Spencer B.F.; Yan Guirong(闫桂荣); Ou Jinping(欧进萍)

    2004-01-01

    The optimal matrix method and optimal elemental method used to update finite element models may not provide accurate results. This situation occurs when the test modal model is incomplete, as is often the case in practice. An improved optimal elemental method is presented that defines a new objective function, and as a byproduct, circumvents the need for mass normalized modal shapes, which are also not readily available in practice. To solve the group of nonlinear equations created by the improved optimal method, the Lagrange multiplier method and Matlab function fmincon are employed. To deal with actual complex structures,the float-encoding genetic algorithm (FGA) is introduced to enhance the capability of the improved method. Two examples, a 7-degree of freedom (DOF) mass-spring system and a 53-DOF planar frame, respectively, are updated using the improved method.Thc example results demonstrate the advantages of the improved method over existing optimal methods, and show that the genetic algorithm is an effective way to update the models used for actual complex structures.

  3. An improved equivalent simulation model for CMOS integrated Hall plates.

    Science.gov (United States)

    Xu, Yue; Pan, Hong-Bin

    2011-01-01

    An improved equivalent simulation model for a CMOS-integrated Hall plate is described in this paper. Compared with existing models, this model covers voltage dependent non-linear effects, geometrical effects, temperature effects and packaging stress influences, and only includes a small number of physical and technological parameters. In addition, the structure of this model is relatively simple, consisting of a passive network with eight non-linear resistances, four current-controlled voltage sources and four parasitic capacitances. The model has been written in Verilog-A hardware description language and it performed successfully in a Cadence Spectre simulator. The model's simulation results are in good agreement with the classic experimental results reported in the literature.

  4. IMPROVEMENTS OF RIVER MODELING 1D DATA PREPARATION

    Directory of Open Access Journals (Sweden)

    ION-MARIAN MOISOIU

    2012-11-01

    Full Text Available Improvements of river modeling 1D data preparation. The importance of hydrographical networks data and the need for detailed studies do generate an increase of projects in this specialized area and a diversification of river mathematical modeling software. River mathematical modeling can be done in two ways, namely; the "2D mode" and the “1D mode”. The “2D mode” is where a digital terrain model of a full hydrographical basin must be produced and "1D mode" is where only cross sections, long sections and structures elevations needs to be presented in a graphical environment and in a specific formats for the mathematical modeling software. This paper will show the principle of a custom built GIS, specially created to help the preparation of 1D river modeling data. The benefits are; elimination of human errors, automated processing, increasing productivity, flexible output and cost reduction.

  5. Effects of European land use on contemporary tree-climate relationships in the northeastern United States: Implications for predictive models

    Science.gov (United States)

    Goring, S. J.; Cogbill, C. V.; Dawson, A.; Hooten, M.; McLachlan, J. S.; Mladenoff, D. J.; Paciorek, C. J.; Ruid, M.; Tipton, J.; Williams, J. W.; Record, S.; Matthes, J. H.; Dietze, M.

    2014-12-01

    Much of our understanding of the climatic controls on tree species distributions is based on contemporary observational datasets. For example, forest inventory analysis (FIA) and other spatial datasets are used to build correlative models of climate suitability for plant taxa for use in environmental niche models. More complex dynamic models rely on species interactions, physiological processes, and competition, among other processes, that are also parameterized against contemporary data. However, as much as a quarter of the forested region in the upper Midwestern United States may be considered novel relative to pre-settlement baselines (Goring et al. submitted). Hence, modern surveys or even long-term datasets may represent only a portion of the ecological or climate space taxa might occupy. Using gridded datasets of pre-settlement vegetation for the northeastern United States from Town Propritor Suveys and the Public Land Survey, we examine the effects of European land-use conversion - logging, agricultural conversion and re-establishment - on climate-vegetation relationships. We show that in regions where land-use change is climatically biased, such as conversion to agriculture along the prairie-forest boundary, impacts on the realized climatic niches for various tree taxa can be significant. Improving predicted distributions of taxa is critical for planning and mitigating the effects of widespread shifts in forest composition resulting from climate change. Using pre-settlement data can improve our understanding of the potential niches occupied by major forest taxa, improving the predictive abilities of environmental niche and mechanistic models.

  6. Evaluation and improvement of the cloud resolving model component of the multi-scale modeling framework

    Energy Technology Data Exchange (ETDEWEB)

    Xu, Kuan-Man; Cheng, Anning

    2009-10-01

    Developed, implemented and tested an improved Colorado State University (CSU) SAM (System for Atmospheric Modeling) cloud-resolving model (CRM) with the advanced third-order turbulence closure (IPHOC).

  7. Modeling HIV transmission and AIDS in the united states

    CERN Document Server

    Hethcote, Herbert W

    1992-01-01

    The disease that came to be called acquired immunodeficiency syndrome (AIDS) was first identified in the summer of 1981. By that time, nearly 100,000 persons in the United States may have been infected with human immunodeficiency virus (HIV). By the time the routes of transmission were clearly identified and HIV was established as the cause of AIDS in 1983, over 300,000 people may have been infected. That number has continued to increase, with approximately 1,000,000 Americans believed to be infected in 1991. The epidemic is of great public health concern because HlV is infectious, causes severe morbidity and death in most if not all of those infected, and often occurs in relatively young persons. In addition, the cost of medical care for a person with HIV disease is high, and the medical care needs of HIV-infected persons place a severe burden on the medical care systems in many areas. Understanding and controlling the HIV epidemic is a particularly difficult challenge. The long and variable period between H...

  8. Simulating urban expansion using an improved SLEUTH model

    Science.gov (United States)

    Liu, Xinsheng; Sun, Rui; Yang, Qingyun; Su, Guiwu; Qi, Wenhua

    2012-01-01

    Accelerated urbanization creates challenges of water shortages, air pollution, and reductions in green space. To address these issues, methods for assessing urban expansion with the goal of achieving reasonable urban growth should be explored. In this study, an improved slope, land use, exclusion, urban, transportation, hillshade (SLEUTH) cellular automata model is developed and applied to the city of Tangshan, China, for urban expansion research. There are three modifications intended to improve SLEUTH: first, the utilization of ant colony optimization to calibrate SLEUTH to simplify the calibration procedures and improve their efficiency; second, the introduction of subregional calibration to replace calibration of the entire study area; and third, the incorporation of social and economic data to adjust the self-modification rule of SLEUTH. The first two modifications improve the calibration accuracy and efficiency compared with the original SLEUTH. The third modification fails to improve SLEUTH, and further experiments are needed. Using the improvements to the SLEUTH model, forecasts of urban growth are performed for every year up to 2020 for the city of Tangshan under two scenarios: an inertia trend scenario and a policy-adjusted scenario.

  9. Guiding and Modelling Quality Improvement in Higher Education Institutions

    Science.gov (United States)

    Little, Daniel

    2015-01-01

    The article considers the process of creating quality improvement in higher education institutions from the point of view of current organisational theory and social-science modelling techniques. The author considers the higher education institution as a functioning complex of rules, norms and other organisational features and reviews the social…

  10. Improving Perovskite Solar Cells: Insights From a Validated Device Model

    NARCIS (Netherlands)

    Sherkar, Tejas S.; Momblona, Cristina; Gil-Escrig, Lidon; Bolink, Henk J.; Koster, L. Jan Anton

    2017-01-01

    To improve the efficiency of existing perovskite solar cells (PSCs), a detailed understanding of the underlying device physics during their operation is essential. Here, a device model has been developed and validated that describes the operation of PSCs and quantitatively explains the role of conta

  11. RDI Advising Model for Improving the Teaching-Learning Process

    Science.gov (United States)

    de la Fuente, Jesus; Lopez-Medialdea, Ana Maria

    2007-01-01

    Introduction: Advising in Educational Psychology from the perspective of RDI takes on a stronger investigative, innovative nature. The model proposed by De la Fuente et al (2006, 2007) and Education & Psychology (2007) was applied to the field of improving teaching-learning processes at a school. Hypotheses were as follows: (1) interdependence…

  12. Guiding and Modelling Quality Improvement in Higher Education Institutions

    Science.gov (United States)

    Little, Daniel

    2015-01-01

    The article considers the process of creating quality improvement in higher education institutions from the point of view of current organisational theory and social-science modelling techniques. The author considers the higher education institution as a functioning complex of rules, norms and other organisational features and reviews the social…

  13. Promoting Continuous Quality Improvement in Online Teaching: The META Model

    Science.gov (United States)

    Dittmar, Eileen; McCracken, Holly

    2012-01-01

    Experienced e-learning faculty members share strategies for implementing a comprehensive postsecondary faculty development program essential to continuous improvement of instructional skills. The high-impact META Model (centered around Mentoring, Engagement, Technology, and Assessment) promotes information sharing and content creation, and fosters…

  14. Improving Perovskite Solar Cells: Insights From a Validated Device Model

    NARCIS (Netherlands)

    Sherkar, Tejas S.; Momblona, Cristina; Gil-Escrig, Lidon; Bolink, Henk J.; Koster, L. Jan Anton

    2017-01-01

    To improve the efficiency of existing perovskite solar cells (PSCs), a detailed understanding of the underlying device physics during their operation is essential. Here, a device model has been developed and validated that describes the operation of PSCs and quantitatively explains the role of conta

  15. Improving Project Management Using Formal Models and Architectures

    Science.gov (United States)

    Kahn, Theodore; Sturken, Ian

    2011-01-01

    This talk discusses the advantages formal modeling and architecture brings to project management. These emerging technologies have both great potential and challenges for improving information available for decision-making. The presentation covers standards, tools and cultural issues needing consideration, and includes lessons learned from projects the presenters have worked on.

  16. Improved Cell Culture Method for Growing Contracting Skeletal Muscle Models

    Science.gov (United States)

    Marquette, Michele L.; Sognier, Marguerite A.

    2013-01-01

    An improved method for culturing immature muscle cells (myoblasts) into a mature skeletal muscle overcomes some of the notable limitations of prior culture methods. The development of the method is a major advance in tissue engineering in that, for the first time, a cell-based model spontaneously fuses and differentiates into masses of highly aligned, contracting myotubes. This method enables (1) the construction of improved two-dimensional (monolayer) skeletal muscle test beds; (2) development of contracting three-dimensional tissue models; and (3) improved transplantable tissues for biomedical and regenerative medicine applications. With adaptation, this method also offers potential application for production of other tissue types (i.e., bone and cardiac) from corresponding precursor cells.

  17. 基于改进支持向量机的水电机组多类轴心轨迹智能识别%Intelligence identification for multi-class shaft centerline orbit of hydropower unit based on improved SVM model

    Institute of Scientific and Technical Information of China (English)

    郭鹏程; 李辉; 袁江霞; 罗兴锜

    2013-01-01

    In the fault diagnosis system of hydropower units, the shaft centerline orbit is an important feature for the recognition of the unit operating condition, and different types of shaft centerline orbits reflect different operation state and fault information of shaft centerline orbit. In the actual operation of hydropower unit, there are few fault samples for shaft centerline orbits. Hence, the intelligent fault diagnosis cannot be performed accurately, and this problem must be solved with the combination of the corresponding spectral characteristics. Aimed at this problem, based on the improved support vector machine, a multi-fault classification algorithm was presented, the Hu invariant moment data of shaft centerline orbit graph were selected as training sample of the classification system, the error threshold level was inducted to effectively control category interference phenomenon, and a multi-fault shaft centerline orbits classifier was set up. Furthermore, it was applied to carry out the fault diagnosis of hydropower units. Results of the fault diagnosis application showed that just a few measured samples of shaft centerline orbits and a certain number of stimulated samples were needed in order to establish a fault classifier with superior performance, when the number of samples was 16 and 50, the classification accuracy was up to 96.3% and 91.2%, and the four different shapes of shaft centerline orbit graphs such as double ring-shaped, eight-shaped, ellipse-shaped and banana-shaped can be clearly distinguished. Meanwhile, the classification accuracy increased with an increase in the number of classification and the classification accuracy decreased rapidly with an increase in the number of sample, that is to say, the number of classification and the number of sample had an important influence on the classification accuracy. In addition, the optimum classification surface of invariant line moment can be obtained by adjustment of kernel function coefficient

  18. ASTEC and ICARE/CATHARE modelling improvement for VVERs

    Energy Technology Data Exchange (ETDEWEB)

    Zvonarev, Yu [Russian Research Centre ' Kurchatov Institute' (RRC KI), NRI, Kurchatov Square 1, Moscow (Russian Federation); Volchek, A., E-mail: voltchek@nsi.kiae.r [Russian Research Centre ' Kurchatov Institute' (RRC KI), NRI, Kurchatov Square 1, Moscow (Russian Federation); Kobzar, V. [Russian Research Centre ' Kurchatov Institute' (RRC KI), NRI, Kurchatov Square 1, Moscow (Russian Federation); Chatelard, P.; Van Dorsselaere, J.P. [Institut de Radioprotection et de Surete Nucleaire (IRSN), Sadarache (France)

    2011-04-15

    ASTEC and ICARE/CATHARE computer codes, developed by IRSN (France) (the former with GRS, Germany), are used in RRC KI (Russia) for the analyses of accident transients on VVER-type NPPs. The latest versions of the codes were continuously improved and validated to provide a better understanding of the main processes during hypothetical severe accidents on VVERs. This paper describes modelling improvements for VVERs carried out recently in the ICARE common part of the above codes. These actions concern the important models of fuel rod cladding mechanical behaviour and oxidation in steam at high and very high temperatures. The existing models were improved basing on the experience in the field and latest literature data sources for Zr + 1%Nb material used for manufacture of VVERs fuel rod claddings. Best-fitted correlations for the Zr alloy oxidation through a broad temperature range were established, along with recommendations on model application in clad geometry and starvation conditions. A model for the creep velocity was chosen for the clad mechanical model and some cladding burst criteria were established as a function of temperature. After verification of modelling improvements on Separate Effect Tests, validation was carried out on integral bundle tests such as QUENCH, CODEX-CT, PARAMETER-SF (the application to the CORA-VVER experiments is not described in the present paper) and on the Paks-2 cleaning tank incident. The comparison of updated code results with experimental data demonstrated very good numerical predictions, which increases the level of code applicability to VVER-type materials.

  19. Key-Aspects of Scientific Modeling Exemplified by School Science Models: Some Units for Teaching Contextualized Scientific Methodology

    Science.gov (United States)

    Develaki, Maria

    2016-01-01

    Models and modeling are core elements of scientific methods and consequently also are of key importance for the conception and teaching of scientific methodology. The epistemology of models and its transfer and adaption to nature of science education are not, however, simple themes. We present some conceptual units in which school science models…

  20. HEAT STORAGE SYSTEM WITH PHASE CHANGE MATERIALS IN COGENERATION UNITS: STUDY OF PRELIMINARY MODEL

    Directory of Open Access Journals (Sweden)

    Claudio Caprara

    2008-12-01

    Full Text Available The continuous increase in the mechanization of farm activities, the rise in fuel prices and the environmental aspects concerning gas emissions are the main driving forces behind efforts toward more effective use of renewable energy sources and cogeneration systems even in agricultural and cattle farms. Nevertheless these systems are still not very suitable for this purpose because of their little flexibility in following the changing energy demand as opposed to the extremely various farm load curves, both in daytime and during the year. In heat recovery systems, the available thermal energy supply is always linked to power production, thus it does not usually coincide in time with the heat demand. Hence some form of thermal energy storage (TES is necessary in order to reach the most effective utilization of the energy source. This study deals with the modelling of a packed bed latent heat TES unit, integrating a cogeneration system made up of a reciprocating engine. The TES unit contains phase change materials (PCMs filled in spherical capsules, which are packed in an insulated cylindrical storage tank. Water is used as heat transfer fluid (HTF to transfer heat from the tank to the final uses, and exhausts from the engine are used as thermal source. PCMs are considered especially for their large heat storage capacity and their isothermal behaviour during the phase change processes. Despite their high energy storage density, most of them have an unacceptably low thermal conductivity, hence PCMs encapsulation technique is adopted in order to improve heat transfer. The special modular configuration of heat exchange tubes and the possibility of changing water flow through them allow to obtain the right amount of thermal energy from the tank, according to the hourly demand of the day. The model permits to choose the electrical load of the engine, the dimensions of the tank and the spheres, thickness and diameter of heat exchanger and the nature of

  1. A model to design effective Production Improvement Programs

    Directory of Open Access Journals (Sweden)

    T. Bautista

    2010-04-01

    Full Text Available The objective of this paper is to present a model to design effective Production Improvement Programs (PIP in order tocontribute in the solution of the problematic situations generally faced by the Mexican manufacturing micro, small and mediumsizedenterprises (M‐SME. In this proposal, we imply that facilitating their development is a natural way to improve theirperformance, especially in terms of productive efficiency. The study picked up empirical evidence from the ProcessesReengineering Workshop (PRW, one of the leading services of the National Committee of Productivity and TechnologicalInnovation (NCPTI which is considered a Mexican successful case. We show through a comparative analysis that it is possible tohave better programs when they follow a continuous improvement process involving the owner of the firm and workforceparticipation. Furthermore, we suggest a series of methods for planning, structuring and improvement according to theimitative, tacit and qualitative M‐SME specific competence.

  2. Development of Improved Mechanistic Deterioration Models for Flexible Pavements

    DEFF Research Database (Denmark)

    Ullidtz, Per; Ertman, Hans Larsen

    1998-01-01

    The paper describes a pilot study in Denmark with the main objective of developing improved mechanistic deterioration models for flexible pavements based on an accelerated full scale test on an instrumented pavement in the Danish Road Tessting Machine. The study was the first in "International...... Pavement Subgrade Performance Study" sponsored by the Federal Highway Administration (FHWA), USA. The paper describes in detail the data analysis and the resulting models for rutting, roughness, and a model for the plastic strain in the subgrade.The reader will get an understanding of the work needed...

  3. Improved Propulsion Modeling for Low-Thrust Trajectory Optimization

    Science.gov (United States)

    Knittel, Jeremy M.; Englander, Jacob A.; Ozimek, Martin T.; Atchison, Justin A.; Gould, Julian J.

    2017-01-01

    Low-thrust trajectory design is tightly coupled with spacecraft systems design. In particular, the propulsion and power characteristics of a low-thrust spacecraft are major drivers in the design of the optimal trajectory. Accurate modeling of the power and propulsion behavior is essential for meaningful low-thrust trajectory optimization. In this work, we discuss new techniques to improve the accuracy of propulsion modeling in low-thrust trajectory optimization while maintaining the smooth derivatives that are necessary for a gradient-based optimizer. The resulting model is significantly more realistic than the industry standard and performs well inside an optimizer. A variety of deep-space trajectory examples are presented.

  4. A Cooperative Model to Improve Hospital Equipments and Drugs Management

    Science.gov (United States)

    Baffo, Ilaria; Confessore, Giuseppe; Liotta, Giacomo; Stecca, Giuseppe

    The cost of services provided by public and private healthcare systems is nowadays becoming critical. This work tackles the criticalities of hospital equipments and drugs management by emphasizing its implications on the whole healthcare system efficiency. The work presents a multi-agent based model for decisional cooperation in order to address the problem of integration of departments, wards and personnel for improving equipments, and drugs management. The proposed model faces the challenge of (i) gaining the benefits deriving from successful collaborative models already used in industrial systems and (ii) transferring the most appropriate industrial management practices to healthcare systems.

  5. OPC model sampling evaluation and weakpoint "in-situ" improvement

    Science.gov (United States)

    Fu, Nan; Elshafie, Shady; Ning, Guoxiang; Roling, Stefan

    2016-10-01

    One of the major challenges of optical proximity correction (OPC) models is to maximize the coverage of real design features using sampling pattern. Normally, OPC model building is based on 1-D and 2-D test patterns with systematically changing pitches alignment with design rules. However, those features with different optical and geometric properties will generate weak-points where OPC simulation cannot precisely predict resist contours on wafer due to the nature of infinite IC designs and limited number of model test patterns. In this paper, optical property data of real design features were collected from full chips and classified to compare with the same kind of data from OPC test patterns. Therefore sample coverage could be visually mapped according to different optical properties. Design features, which are out of OPC capability, were distinguished by their optical properties and marked as weak-points. New patterns with similar optical properties would be added into model build site-list. Further, an alternative and more efficient method was created in this paper to improve the treatment of issue features and remove weak-points without rebuilding models. Since certain classification of optical properties will generate weak-points, an OPC-integrated repair algorithm was developed and implemented to scan full chip for optical properties, locate those features and then optimize OPC treatment or apply precise sizing on site. This is a named "in-situ" weak-point improvement flow which includes issue feature definition, allocation in full chip and real-time improvement.

  6. Improving efficiency of decision making units through BSC-DEA technique

    Directory of Open Access Journals (Sweden)

    Amir Reza Khaki

    2012-01-01

    Full Text Available Performance evaluation is one of the most important techniques to prioritize different decision making units. Data envelopment analysis (DEA, as a non-parametric method, plays an important role for measuring relative efficiency. Balanced score card, on the other hand, is another method to evaluate a business plan based on non-financial perspectives. The integrated BSC-DEA takes advantage of the advantages of both methods' features. In this paper, we propose a BSC-DEA method to rank different decision making units. We consider different financial criteria such as profit-margin, return on assets along with non-financial criteria such as customer satisfaction, advanced services, employee skills to compare the performance of different banks. The results are analyzed and discussed, which could be used for making better decisions.

  7. Predictive model for SEPSIS in the intensive care unit.

    Directory of Open Access Journals (Sweden)

    Lavoisier Morais de Medeiros

    2016-07-01

    Full Text Available This study aimed to provide a probabilistic decision model for sepsis, early diagnosis. The data contained in the medical records of 100 individuals admitted to a general ICU in a public hospital in the inland of the State of Paraiba were analyzed, in the period from March to September, 2011. The studied variables were: age, gender, initial diagnosis, minimum and maximum axillary temperature, heart and breathing rate, oxygen and carbon dioxide partial pressure, lactate serum levels, potassium, sodium, total count of leukocytes, bands and segs., among others. The binary logistic regression were used to determine the prediction model, and data were analyzed by SPSS software, version 19.0. 63% of the subjects were male, with a 62.5 year average age. as explanatory variables the following were considered: minimum axillary temperature, maximum axillary temperature, carbon dioxide partial pressure, lactate, white blood cell count and number of bands. Through ROC curve we identified the ideal cut-off point for classifying the subjects with regard to the presence or absence of disease, which has contributed to formulating the decision-making rule for sepsis early diagnosis. The concordance degree were compared between blood culture result regarded as gold standard for infection diagnosis and the model submitted in the study using Kappa coefficient, obtaining a 0.93 concordance percentage, regarded as outstanding. It was demonstrated being possible to carry out sepsis early detection adopting statistical models as the submitted one, however, new studies with populations from different ICUs must be performed in order to provide a better casuistry, making the found results reproducible in different clinical situations.

  8. Improved Sustainability through Novel Water Management Strategies for Strawberry Transplant Establishment in Florida, United States

    OpenAIRE

    Emmanuel A. Torres-Quezada; Pei-Wen Huang; Ixchel M. Hernandez-Ochoa; Teresa P. Salame-Donoso; Whitaker, Vance M; Alicia J. Whidden; Craig D. Stanley; Bielinski M. Santos

    2012-01-01

    Establishing bare-root transplants in Florida, United States, is an inefficient water-consuming activity. Between 3500 and 5500 m3/ha are applied with sprinkler irrigation to lower temperatures around the transplant crown and aid early root development, but more than 97% of the water volume runs off the polyethylene-covered beds. Research has been conducted to evaluate the feasibility of producing containerized (plug) short-day cultivar transplants under Florida conditions, the effect of cont...

  9. Improving the United States Efforts in Countering Violent Extremist Organizations in Sub-Saharan Africa

    Science.gov (United States)

    2016-04-06

    agency’s counterterrorism efforts. The concept brings together the offices within the mission dealing with countering VEOs in the host country. The...2013, and an attack against a restaurant frequented by Westerners in Djibouti in 2014, they are not as deadly as the two groups listed in the previous...it meets. The flexibility is inherent to the concept based on the needs. The focus of the working group is to coordinate the United States

  10. Improving the United States’ Efforts in Countering Violent Extremist Organizations in Sub-Saharan Africa

    Science.gov (United States)

    2016-04-04

    agency’s counterterrorism efforts. The concept brings together the offices within the mission dealing with countering VEOs in the host country. The...2013, and an attack against a restaurant frequented by Westerners in Djibouti in 2014, they are not as deadly as the two groups listed in the previous...it meets. The flexibility is inherent to the concept based on the needs. The focus of the working group is to coordinate the United States

  11. A Suggested Approach To Simplify and Improve Cervical Screening in the United States

    OpenAIRE

    Schiffman, Mark; Wentzensen, Nicolas

    2016-01-01

    Cervical cancer prevention strategies in the United States have become complicated and even controversial, despite advanced understanding of carcinogenic human papillomavirus (HPV) infection as the necessary causal agent. Twenty years ago, etiologic and methodologic studies had already yielded two powerful preventive approaches. There are excellent vaccines to prevent the most carcinogenic types of HPV infection; reduced HPV endemicity will ultimately prevent a large fraction of cervical prec...

  12. Optimal placement of Phasor Measurement Units to Improve Parallel Power System Restoration

    OpenAIRE

    2011-01-01

    This paper proposes a new method for optimal placement of Phasor Measurement Units (PMUs) across the weak areas of the power system to monitor the status of the boundary buses during Parallel Power System Restoration (PPSR). The proposed PMU placement method is based on an Integer Linear Programming (ILP) methodology. For validation purposes, the proposed method is implemented across the weak areas of the following two test systems: New England 39-bus test system and IEEE 118-bus test system.

  13. Sulfur Groups Improve the Performance of Triazole- and Triazolium-Based Interaction Units in Anion Binding.

    Science.gov (United States)

    Álvarez-Pérez, Mónica; Velado, Marina; García-Puentes, Diego; Sáez, Elena; Vicent, Cristina; Fernández de la Pradilla, Roberto; Viso, Alma; de la Torre, María C; Sierra, Miguel A

    2017-03-17

    An NMR comparative study of 1,2,3-triazole and triazolium anion recognition units containing sulfoxide, sulfone, and sulfoximine groups at C4 unveils an enhancement in binding ability up to ≈1 kcal/mol in acetone-d6 correlated with a theoretical increase of H5 acidity. DFT calculations provide insight into binding modes in line with experimental data for these receptors.

  14. Improved environmental multimedia modeling and its sensitivity analysis.

    Science.gov (United States)

    Yuan, Jing; Elektorowicz, Maria; Chen, Zhi

    2011-01-01

    Modeling of multimedia environmental issues is extremely complex due to the intricacy of the systems with the consideration of many factors. In this study, an improved environmental multimedia modeling is developed and a number of testing problems related to it are examined and compared with each other with standard numerical and analytical methodologies. The results indicate the flux output of new model is lesser in the unsaturated zone and groundwater zone compared with the traditional environmental multimedia model. Furthermore, about 90% of the total benzene flux was distributed to the air zone from the landfill sources and only 10% of the total flux emitted into the unsaturated, groundwater zones in non-uniform conditions. This paper also includes functions of model sensitivity analysis to optimize model parameters such as Peclet number (Pe). The analyses results show that the Pe can be considered as deterministic input variables for transport output. The oscillatory behavior is eliminated with the Pe decreased. In addition, the numerical methods are more accurate than analytical methods with the Pe increased. In conclusion, the improved environmental multimedia model system and its sensitivity analysis can be used to address the complex fate and transport of the pollutants in multimedia environments and then help to manage the environmental impacts.

  15. On improving the communication between models and data.

    Science.gov (United States)

    Dietze, Michael C; Lebauer, David S; Kooper, Rob

    2013-09-01

    The potential for model-data synthesis is growing in importance as we enter an era of 'big data', greater connectivity and faster computation. Realizing this potential requires that the research community broaden its perspective about how and why they interact with models. Models can be viewed as scaffolds that allow data at different scales to inform each other through our understanding of underlying processes. Perceptions of relevance, accessibility and informatics are presented as the primary barriers to broader adoption of models by the community, while an inability to fully utilize the breadth of expertise and data from the community is a primary barrier to model improvement. Overall, we promote a community-based paradigm to model-data synthesis and highlight some of the tools and techniques that facilitate this approach. Scientific workflows address critical informatics issues in transparency, repeatability and automation, while intuitive, flexible web-based interfaces make running and visualizing models more accessible. Bayesian statistics provides powerful tools for assimilating a diversity of data types and for the analysis of uncertainty. Uncertainty analyses enable new measurements to target those processes most limiting our predictive ability. Moving forward, tools for information management and data assimilation need to be improved and made more accessible.

  16. Apparent Arctic sea ice modeling improvement caused by volcanoes

    CERN Document Server

    Rosenblum, Erica

    2016-01-01

    The downward trend in Arctic sea ice extent is one of the most dramatic signals of climate change during recent decades. Comprehensive climate models have struggled to reproduce this, typically simulating a slower rate of sea ice retreat than has been observed. However, this bias has been substantially reduced in models participating in the most recent phase of the Coupled Model Intercomparison Project (CMIP5) compared with the previous generation of models (CMIP3). This improvement has been attributed to improved physics in the models. Here we examine simulations from CMIP3 and CMIP5 and find that simulated sea ice trends are strongly influenced by historical volcanic forcing, which was included in all of the CMIP5 models but in only about half of the CMIP3 models. The volcanic forcing causes temporary simulated cooling in the 1980s and 1990s, which contributes to raising the simulated 1979-2013 global-mean surface temperature trends to values substantially larger than observed. This warming bias is accompan...

  17. Improvements on Semi-Classical Distorted-Wave model

    Energy Technology Data Exchange (ETDEWEB)

    Sun Weili; Watanabe, Y.; Kuwata, R. [Kyushu Univ., Fukuoka (Japan); Kohno, M.; Ogata, K.; Kawai, M.

    1998-03-01

    A method of improving the Semi-Classical Distorted Wave (SCDW) model in terms of the Wigner transform of the one-body density matrix is presented. Finite size effect of atomic nuclei can be taken into account by using the single particle wave functions for harmonic oscillator or Wood-Saxon potential, instead of those based on the local Fermi-gas model which were incorporated into previous SCDW model. We carried out a preliminary SCDW calculation of 160 MeV (p,p`x) reaction on {sup 90}Zr with the Wigner transform of harmonic oscillator wave functions. It is shown that the present calculation of angular distributions increase remarkably at backward angles than the previous ones and the agreement with the experimental data is improved. (author)

  18. An improved HCI degradation model for a VLSI MOSFET

    Institute of Scientific and Technical Information of China (English)

    Tang Yi; Wan Xinggong; Gu Xiang; Wang Wenyuan; Zhang Huirui; Liu Yuwei

    2009-01-01

    An improved hot carrier injection (HCI) degradation model was proposed based on interface trap gen-eration and oxide charge injection theory. It was evident that the degradation behavior of electric parameters such as I_(dlin), I_(dsat), G_m and V_t fitted well with this model. Devices were prepared with 0.35μm technology and different LDD processes, I_(dlin) and I_(dsat) after HCI stress were analyzed with the improved model. The effects of interface trap generation and oxide charge injection on device degradation were extracted, and the charge injection site could be obtained by this method. The work provides important information to device designers and process engineers.

  19. Correction, improvement and model verification of CARE 3, version 3

    Science.gov (United States)

    Rose, D. M.; Manke, J. W.; Altschul, R. E.; Nelson, D. L.

    1987-01-01

    An independent verification of the CARE 3 mathematical model and computer code was conducted and reported in NASA Contractor Report 166096, Review and Verification of CARE 3 Mathematical Model and Code: Interim Report. The study uncovered some implementation errors that were corrected and are reported in this document. The corrected CARE 3 program is called version 4. Thus the document, correction. improvement, and model verification of CARE 3, version 3 was written in April 1984. It is being published now as it has been determined to contain a more accurate representation of CARE 3 than the preceding document of April 1983. This edition supercedes NASA-CR-166122 entitled, 'Correction and Improvement of CARE 3,' version 3, April 1983.

  20. An improved model for TPV performance predictions and optimization

    Science.gov (United States)

    Schroeder, K. L.; Rose, M. F.; Burkhalter, J. E.

    1997-03-01

    Previously a model has been presented for calculating the performance of a TPV system. This model has been revised into a general purpose algorithm, improved in fidelity, and is presented here. The basic model is an energy based formulation and evaluates both the radiant and heat source elements of a combustion based system. Improvements in the radiant calculations include the use of ray tracking formulations and view factors for evaluating various flat plate and cylindrical configurations. Calculation of photocell temperature and performance parameters as a function of position and incident power have also been incorporated. Heat source calculations have been fully integrated into the code by the incorporation of a modified version of the NASA Complex Chemical Equilibrium Compositions and Applications (CEA) code. Additionally, coding has been incorporated to allow optimization of various system parameters and configurations. Several examples cases are presented and compared, and an optimum flat plate emitter/filter/photovoltaic configuration is also described.

  1. A Model of Continuous Improvement in High Schools: A Process for Research, Innovation Design, Implementation, and Scale

    Science.gov (United States)

    Cohen-Vogel, Lora; Cannata, Marisa; Rutledge, Stacey A.; Socol, Allison Rose

    2016-01-01

    This chapter describes a model for continuous improvement that guides the work of the National Center on Scaling Up Effective Schools, or NCSU. NCSU is a research and development center funded by the Institute for Education Sciences, the research arm of the United States Department of Education. At the core of the Center's work is an innovative…

  2. An Improved Nonlinear Five-Point Model for Photovoltaic Modules

    Directory of Open Access Journals (Sweden)

    Sakaros Bogning Dongue

    2013-01-01

    Full Text Available This paper presents an improved nonlinear five-point model capable of analytically describing the electrical behaviors of a photovoltaic module for each generic operating condition of temperature and solar irradiance. The models used to replicate the electrical behaviors of operating PV modules are usually based on some simplified assumptions which provide convenient mathematical model which can be used in conventional simulation tools. Unfortunately, these assumptions cause some inaccuracies, and hence unrealistic economic returns are predicted. As an alternative, we used the advantages of a nonlinear analytical five-point model to take into account the nonideal diode effects and nonlinear effects generally ignored, which PV modules operation depends on. To verify the capability of our method to fit PV panel characteristics, the procedure was tested on three different panels. Results were compared with the data issued by manufacturers and with the results obtained using the five-parameter model proposed by other authors.

  3. Soil hydraulic properties near saturation, an improved conductivity model

    DEFF Research Database (Denmark)

    Børgesen, Christen Duus; Jacobsen, Ole Hørbye; Hansen, Søren;

    2006-01-01

    The hydraulic properties near saturation can change dramatically due to the presence of macropores that are usually difficult to handle in traditional pore size models. The purpose of this study is to establish a data set on hydraulic conductivity near saturation, test the predictive capability...... of commonly used hydraulic conductivity models and give suggestions for improved models. Water retention and near saturated and saturated hydraulic conductivity were measured for a variety of 81 top and subsoils. The hydraulic conductivity models by van Genuchten [van Genuchten, 1980. A closed-form equation...... for predicting the hydraulic conductivity of unsaturated soils. Soil Sci. Soc. Am. J. 44, 892–898.] (vGM) and Brooks and Corey, modified by Jarvis [Jarvis, 1991. MACRO—A Model of Water Movement and Solute Transport in Macroporous Soils. Swedish University of Agricultural Sciences. Department of Soil Sciences...

  4. Improvement of airfoil trailing edge bluntness noise model

    DEFF Research Database (Denmark)

    Zhu, Wei Jun; Shen, Wen Zhong; Sørensen, Jens Nørkær;

    2016-01-01

    , Pope, and Marcolini airfoil noise prediction model developed by Brooks, Pope, and Marcolini (NASA Reference Publication 1218, 1989). It was found in previous study that the Brooks, Pope, and Marcolini model tends to over-predict noise at high frequencies. Furthermore, it was observed...... that this was caused by a lack in the model to predict accurately noise from blunt trailing edges. For more physical understanding of bluntness noise generation, in this study, we also use an advanced in-house developed high-order computational aero-acoustic technique to investigate the details associated...... with trailing edge bluntness noise. The results from the numerical model form the basis for an improved Brooks, Pope, and Marcolini trailing edge bluntness noise model....

  5. Methods improvements incorporated into the SAPHIRE ASP models

    Energy Technology Data Exchange (ETDEWEB)

    Sattison, M.B.; Blackman, H.S.; Novack, S.D. [Idaho National Engineering Lab., Idaho Falls, ID (United States)] [and others

    1995-04-01

    The Office for Analysis and Evaluation of Operational Data (AEOD) has sought the assistance of the Idaho National Engineering Laboratory (INEL) to make some significant enhancements to the SAPHIRE-based Accident Sequence Precursor (ASP) models recently developed by the INEL. The challenge of this project is to provide the features of a full-scale PRA within the framework of the simplified ASP models. Some of these features include: (1) uncertainty analysis addressing the standard PRA uncertainties and the uncertainties unique to the ASP models and methods, (2) incorporation and proper quantification of individual human actions and the interaction among human actions, (3) enhanced treatment of common cause failures, and (4) extension of the ASP models to more closely mimic full-scale PRAs (inclusion of more initiators, explicitly modeling support system failures, etc.). This paper provides an overview of the methods being used to make the above improvements.

  6. An improved transfer-matrix model for optical superlenses.

    Science.gov (United States)

    Moore, Ciaran P; Blaikie, Richard J; Arnold, Matthew D

    2009-08-01

    The use of transfer-matrix analyses for characterizing planar optical superlensing systems is studied here, and the simple model of the planar superlens as an isolated imaging element is shown to be defective in certain situations. These defects arise due to neglected interactions between the superlens and the spatially varying shadow masks that are normally used as scattering objects for imaging, and which are held in near-field proximity to the superlenses. An extended model is proposed that improves the accuracy of the transfer-matrix analysis, without adding significant complexity, by approximating the reflections from the shadow mask by those from a uniform metal layer. Results obtained using both forms of the transfer matrix model are compared to finite element models and two example superlenses, one with a silver monolayer and the other with three silver sublayers, are characterized. The modified transfer matrix model gives much better agreement in both cases.

  7. An Improved Equivalent Simulation Model for CMOS Integrated Hall Plates

    Directory of Open Access Journals (Sweden)

    Yue Xu

    2011-06-01

    Full Text Available An improved equivalent simulation model for a CMOS-integrated Hall plate is described in this paper. Compared with existing models, this model covers voltage dependent non-linear effects, geometrical effects, temperature effects and packaging stress influences, and only includes a small number of physical and technological parameters. In addition, the structure of this model is relatively simple, consisting of a passive network with eight non-linear resistances, four current-controlled voltage sources and four parasitic capacitances. The model has been written in Verilog-A hardware description language and it performed successfully in a Cadence Spectre simulator. The model’s simulation results are in good agreement with the classic experimental results reported in the literature.

  8. An improved model for reduced-order physiological fluid flows

    CERN Document Server

    San, Omer; 10.1142/S0219519411004666

    2012-01-01

    An improved one-dimensional mathematical model based on Pulsed Flow Equations (PFE) is derived by integrating the axial component of the momentum equation over the transient Womersley velocity profile, providing a dynamic momentum equation whose coefficients are smoothly varying functions of the spatial variable. The resulting momentum equation along with the continuity equation and pressure-area relation form our reduced-order model for physiological fluid flows in one dimension, and are aimed at providing accurate and fast-to-compute global models for physiological systems represented as networks of quasi one-dimensional fluid flows. The consequent nonlinear coupled system of equations is solved by the Lax-Wendroff scheme and is then applied to an open model arterial network of the human vascular system containing the largest fifty-five arteries. The proposed model with functional coefficients is compared with current classical one-dimensional theories which assume steady state Hagen-Poiseuille velocity pro...

  9. Planning intensive care unit design using computer simulation modeling: optimizing integration of clinical, operational, and architectural requirements.

    Science.gov (United States)

    OʼHara, Susan

    2014-01-01

    Nurses have increasingly been regarded as critical members of the planning team as architects recognize their knowledge and value. But the nurses' role as knowledge experts can be expanded to leading efforts to integrate the clinical, operational, and architectural expertise through simulation modeling. Simulation modeling allows for the optimal merge of multifactorial data to understand the current state of the intensive care unit and predict future states. Nurses can champion the simulation modeling process and reap the benefits of a cost-effective way to test new designs, processes, staffing models, and future programming trends prior to implementation. Simulation modeling is an evidence-based planning approach, a standard, for integrating the sciences with real client data, to offer solutions for improving patient care.

  10. Optimal interpolation schemes to constrain pmPM2.5 in regional modeling over the United States

    Science.gov (United States)

    Sousan, Sinan Dhia Jameel

    This thesis presents the use of data assimilation with optimal interpolation (OI) to develop atmospheric aerosol concentration estimates for the United States at high spatial and temporal resolutions. Concentration estimates are highly desirable for a wide range of applications, including visibility, climate, and human health. OI is a viable data assimilation method that can be used to improve Community Multiscale Air Quality (CMAQ) model fine particulate matter (PM2.5) estimates. PM2.5 is the mass of solid and liquid particles with diameters less than or equal to 2.5 µm suspended in the gas phase. OI was employed by combining model estimates with satellite and surface measurements. The satellite data assimilation combined 36 x 36 km aerosol concentrations from CMAQ with aerosol optical depth (AOD) measured by MODIS and AERONET over the continental United States for 2002. Posterior model concentrations generated by the OI algorithm were compared with surface PM2.5 measurements to evaluate a number of possible data assimilation parameters, including model error, observation error, and temporal averaging assumptions. Evaluation was conducted separately for six geographic U.S. regions in 2002. Variability in model error and MODIS biases limited the effectiveness of a single data assimilation system for the entire continental domain. The best combinations of four settings and three averaging schemes led to a domain-averaged improvement in fractional error from 1.2 to 0.97 and from 0.99 to 0.89 at respective IMPROVE and STN monitoring sites. For 38% of OI results, MODIS OI degraded the forward model skill due to biases and outliers in MODIS AOD. Surface data assimilation combined 36 × 36 km aerosol concentrations from the CMAQ model with surface PM2.5 measurements over the continental United States for 2002. The model error covariance matrix was constructed by using the observational method. The observation error covariance matrix included site representation that

  11. School Improvement Change Grant Community Survey, Final Report. A Report to Toluca Community Unit School District #2, El Paso Community Unit School District #375, Lowpoint-Washburn Community Unit School District #21, Minonk-Dana-Rutland Community Unit School District #108, and Roanoke-Benson Community Unit School District #60.

    Science.gov (United States)

    O'Connell, Patricia A.; And Others

    This report presents the results of a collaborative study undertaken by five rural, unit school districts in Illinois to provide data to be used in planning for school improvement. Information was gathered from on-site visits by teams of constituents from other districts and through a survey of perceptions of local community persons regarding…

  12. Multi-model Predictive Control of Ultra-supercritical Coal-fired Power Unit

    Institute of Scientific and Technical Information of China (English)

    Guoliang Wang; Weiwu Yan; Shihe Chen; Xi Zhang; Huihe Shao

    2014-01-01

    The control of ultra-supercritical (USC) power unit is a difficult issue for its characteristic of the nonlinearity, large dead time and coupling of the unit. In this paper, model predictive control (MPC) based on multi-model and double layered optimization is introduced for coordinated control of USC unit. The linear programming (LP) com-bined with quadratic programming (QP) is used in steady optimization for computation of the ideal value of dynamic optimization. Three inputs (i.e. valve opening, coal flow and feedwater flow) are employed to control three outputs (i.e. load, main steam temperature and main steam pressure). The step response models for the dynamic matrix control (DMC) are constructed using the three inputs and the three outputs. Piecewise models are built at selected operation points. Double-layered multi-model predictive controller is implemented in sim-ulation with satisfactory performance.

  13. Effectiveness and Utility of a Case-Based Model for Delivering Engineering Ethics Professional Development Units

    Directory of Open Access Journals (Sweden)

    Heidi Ann Hahn

    2015-04-01

    Full Text Available This article describes an action research project conducted at Los Alamos National Laboratory (LANL to resolve a problem with the ability of licensed and/or certified engineers to obtain the ethics-related professional development units or hours (PDUs or PDHs needed to maintain their credentials. Because of the recurring requirement and the static nature of the information, an initial, in-depth training followed by annually updated refresher training was proposed. A case model approach, with online delivery, was selected as the optimal pedagogical model for the refresher training. In the first two years, the only data that was collected was throughput and information retention. Response rates indicated that the approach was effective in helping licensed professional engineers obtain the needed PDUs. The rates of correct responses suggested that knowledge transfer regarding ethical reasoning had occurred in the initial training and had been retained in the refresher. In FY13, after completing the refresher, learners received a survey asking their opinion of the effectiveness and utility of the course, as well as their impressions of the case study format vs. the typical presentation format. Results indicate that the courses have been favorably received and that the case study method supports most of the pedagogical needs of adult learners as well as, if not better than, presentation-based instruction. Future plans for improvement are focused on identifying and evaluating methods for enriching online delivery of the engineering ethics cases.

  14. An Improved Direction Relation Detection Model for Spatial Objects

    Institute of Scientific and Technical Information of China (English)

    FENG Yucai; YI Baolin

    2004-01-01

    Direction is a common spatial concept that is used in our daily life. It is frequently used as a selection condition in spatial queries. As a result, it is important for spatial databases to provide a mechanism for modeling and processing direction queries and reasoning. Depending on the direction relation matrix, an inverted direction relation matrix and the concept of direction pre- dominance are proposed to improve the detection of direction relation between objects. Direction predicates of spatial systems are also extended. These techniques can improve the veracity of direction queries and reasoning. Experiments show excellent efficiency and performance in view of direction queries.

  15. Vital Signs Directed Therapy: Improving Care in an Intensive Care Unit in a Low-Income Country.

    Directory of Open Access Journals (Sweden)

    Tim Baker

    Full Text Available Global Critical Care is attracting increasing attention. At several million deaths per year, the worldwide burden of critical illness is greater than generally appreciated. Low income countries (LICs have a disproportionally greater share of critical illness, and yet critical care facilities are scarce in such settings. Routines utilizing abnormal vital signs to identify critical illness and trigger medical interventions have become common in high-income countries but have not been investigated in LICs. The aim of the study was to assess whether the introduction of a vital signs directed therapy protocol improved acute care and reduced mortality in an Intensive Care Unit (ICU in Tanzania.Prospective, before-and-after interventional study in the ICU of a university hospital in Tanzania. A context-appropriate protocol that defined danger levels of severely abnormal vital signs and stipulated acute treatment responses was implemented in a four week period using sensitisation, training, job aids, supervision and feedback. Acute treatment of danger signs at admission and during care in the ICU and in-hospital mortality were compared pre and post-implementation using regression models. Danger signs from 447 patients were included: 269 pre-implementation and 178 post-implementation. Acute treatment of danger signs was higher post-implementation (at admission: 72.9% vs 23.1%, p<0.001; in ICU: 16.6% vs 2.9%, p<0.001. A danger sign was five times more likely to be treated post-implementation (Prevalence Ratio (PR 4.9 (2.9-8.3. Intravenous fluids were given in response to 35.0% of hypotensive episodes post-implementation, as compared to 4.1% pre-implementation (PR 6.4 (2.5-16.2. In patients admitted with hypotension, mortality was lower post-implementation (69.2% vs 92.3% p = 0.02 giving a numbers-needed-to-treat of 4.3. Overall in-hospital mortality rates were unchanged (49.4% vs 49.8%, p = 0.94.The introduction of a vital signs directed therapy protocol

  16. Improving PARSEC models for very low mass stars

    CERN Document Server

    Chen, Yang; Bressan, Alessandro; Marigo, Paola; Barbieri, Mauro; Kong, Xu

    2014-01-01

    Many stellar models present difficulties in reproducing basic observational relations of very low mass stars (VLMS), including the mass--radius relation and the optical colour--magnitudes of cool dwarfs. Here, we improve PARSEC models on these points. We implement the T--tau relations from PHOENIX BT-Settl model atmospheres as the outer boundary conditions in the PARSEC code, finding that this change alone reduces the discrepancy in the mass--radius relation from 8 to 5 per cent. We compare the models with multi--band photometry of clusters Praesepe and M67, showing that the use of T--tau relations clearly improves the description of the optical colours and magnitudes. But anyway, using both Kurucz and PHOENIX model spectra, model colours are still systematically fainter and bluer than the observations. We then apply a shift to the above T--tau relations, increasing from 0 at T_eff = 4730 K to ~14% at T_eff = 3160 K, to reproduce the observed mass--radius radius relation of dwarf stars. Taking this experiment...

  17. Voluntary peer review as innovative tool for quality improvement in the intensive care unit – a retrospective descriptive cohort study in German intensive care units

    Directory of Open Access Journals (Sweden)

    Kumpf, Oliver

    2014-12-01

    Full Text Available [english] Introduction: Quality improvement and safety in intensive care are rapidly evolving topics. However, there is no gold standard for assessing quality improvement in intensive care medicine yet. In 2007 a pilot project in German intensive care units (ICUs started using voluntary peer reviews as an innovative tool for quality assessment and improvement. We describe the method of voluntary peer review and assessed its feasibility by evaluating anonymized peer review reports and analysed the thematic clusters highlighted in these reports.Methods: Retrospective data analysis from 22 anonymous reports of peer reviews. All ICUs – representing over 300 patient beds – had undergone voluntary peer review. Data were retrieved from reports of peers of the review teams and representatives of visited ICUs. Data were analysed with regard to number of topics addressed and results of assessment questionnaires. Reports of strengths, weaknesses, opportunities and threats (SWOT reports of these ICUs are presented. Results: External assessment of structure, process and outcome indicators revealed high percentages of adherence to predefined quality goals. In the SWOT reports 11 main thematic clusters were identified representative for common ICUs. 58.1% of mentioned topics covered personnel issues, team and communication issues as well as organisation and treatment standards. The most mentioned weaknesses were observed in the issues documentation/reporting, hygiene and ethics. We identified several unique patterns regarding quality in the ICU of which long-term personnel problems und lack of good reporting methods were most interestingConclusion: Voluntary peer review could be established as a feasible and valuable tool for quality improvement. Peer reports addressed common areas of interest in intensive care medicine in more detail compared to other methods like measurement of quality indicators.

  18. Voluntary peer review as innovative tool for quality improvement in the intensive care unit – a retrospective descriptive cohort study in German intensive care units

    Science.gov (United States)

    Kumpf, Oliver; Bloos, Frank; Bause, Hanswerner; Brinkmann, Alexander; Deja, Maria; Marx, Gernot; Kaltwasser, Arnold; Dubb, Rolf; Muhl, Elke; Greim, Clemens-A.; Weiler, Norbert; Chop, Ines; Jonitz, Günther; Schaefer, Henning; Felsenstein, Matthias; Liebeskind, Ursula; Leffmann, Carsten; Jungbluth, Annemarie; Waydhas, Christian; Pronovost, Peter; Spies, Claudia; Braun, Jan-Peter

    2014-01-01

    Introduction: Quality improvement and safety in intensive care are rapidly evolving topics. However, there is no gold standard for assessing quality improvement in intensive care medicine yet. In 2007 a pilot project in German intensive care units (ICUs) started using voluntary peer reviews as an innovative tool for quality assessment and improvement. We describe the method of voluntary peer review and assessed its feasibility by evaluating anonymized peer review reports and analysed the thematic clusters highlighted in these reports. Methods: Retrospective data analysis from 22 anonymous reports of peer reviews. All ICUs – representing over 300 patient beds – had undergone voluntary peer review. Data were retrieved from reports of peers of the review teams and representatives of visited ICUs. Data were analysed with regard to number of topics addressed and results of assessment questionnaires. Reports of strengths, weaknesses, opportunities and threats (SWOT reports) of these ICUs are presented. Results: External assessment of structure, process and outcome indicators revealed high percentages of adherence to predefined quality goals. In the SWOT reports 11 main thematic clusters were identified representative for common ICUs. 58.1% of mentioned topics covered personnel issues, team and communication issues as well as organisation and treatment standards. The most mentioned weaknesses were observed in the issues documentation/reporting, hygiene and ethics. We identified several unique patterns regarding quality in the ICU of which long-term personnel problems und lack of good reporting methods were most interesting Conclusion: Voluntary peer review could be established as a feasible and valuable tool for quality improvement. Peer reports addressed common areas of interest in intensive care medicine in more detail compared to other methods like measurement of quality indicators. PMID:25587245

  19. Quality and productivity drive innovation and improvement at United Technologies Aerospace Operations, Inc.

    Science.gov (United States)

    Jamar, L. G.

    1986-01-01

    Quality and innovation are the hallmarks of the national space program. In programs that preceded the Shuttle Program the emphasis was on meeting the risks and technical challenges of space with safety, quality, reliability, and success. At United Technologies Aerospace Operations, Inc. (UTAO), the battle has developed along four primary fronts. These fronts include programs to motivate and reward people, development and construction of optimized processes and facilities, implementation of specifically tailored management systems, and the application of appropriate measurement and control systems. Each of these initiatives is described. However, to put this quality and productivity program in perspective, UTAO and its role in the Shuttle Program are described first.

  20. Improving the Model for Energy Consumption Load Demand Forecasting

    Science.gov (United States)

    Bunnoon, Pituk; Chalermyanont, Kusumal; Limsakul, Chusak

    This paper proposes an application of a filter method in preprocessing stage for mid-term load demand forecasting to improve electricity load forecasting and to guarantee satisfactory forecasting accuracy. Case study employs the historical electricity consumption demand data in Thailand which were recorded in the 12 years of 1997 through to 2007. The load demand forecasted value is used for unit commitment and fuel reserve planning in the power system. This method consists of a trend component and a cyclical component decomposed from the original load demand using the Hodrick-Prescott (HP) filter in the preprocessing stage and the forecasting of each component using Double Neural Networks (DNNs) in the forecasting stage. Experimental results show that with preprocessing before forecasting can predict the load demand better than that without preprocessing.

  1. Does training improve compliance with hand hygiene and decrease infections in the neonatal intensive care unit? A prospective study.

    Science.gov (United States)

    Sadeghi-Moghaddam, P; Arjmandnia, M; Shokrollahi, M; Aghaali, M

    2015-01-01

    The most important tool in any infection control program is good hand hygiene. Despite recognizing that hand hygiene is crucial in reducing infection rates, hand hygiene compliance remains suboptimal. This study was designed to determine hand hygiene compliance, before and after an educational intervention and its impact on hospital infection rates. The study was done in neonatal intensive care unit of an educational hospital. All healthcare providers working in the unit at the time of study were trained on importance of hand hygiene and methods of hand hygiene observation; after that hand washing compliance controlled by a physician during postintervention phase. Hand hygiene compliance, healthcare associated infection and mortality rates compared before and after educational intervention. Compliance of health-care workers for all hand hygiene opportunities combined was 30% before intervention and improved to 70% in postintervention. In postintervention phase, healthcare associated infection rates and mortality rates decreased significantly as the hand hygiene compliance improved. Good control of hand hygiene compliance by physician after an educational program may have good effect in healthcare associated infections control in neonatal intensive care unit.

  2. Climatic Effects of Contrail Cirrus over the Western United States: A Regional Climate Model Investigation

    Science.gov (United States)

    Liou, K.; Ou, S. S.; Kim, J.; Gu, Y.; Yang, P.; Friedl, R. R.

    2009-12-01

    We investigate the impact of contrails and contrail induced cirrus clouds (CICC) on regional energy and water cycles over the Western United States (WUS), a region of both heavy air traffic and high climate sensitivity. Mountain snowpack in the WUS is a major source of warm-season water supply for Southern California and is highly sensitive to seasonal insolation variation, which can be significantly affected by the frequent presence of contrails/CICC. A regional climate model with an 18-km horizontal resolution based on the Weather Research and Forecast (WRF) model has been developed, which includes improved parameterizations of the optical properties of ice clouds and contrails in the Fu-Liou broadband radiative transfer model. The large-scale forcing data for driving regional climate simulations has been obtained from the NCEP/DOE re-analysis-2. We conduct multiple-year perpetual-spring climate runs to simulate the current climate conditions of the WUS and to investigate the climatic impact of contrails/CICC on radiative forcing, surface temperature, precipitation, and snowpack coverage. As a first approximation, we develop a linear correlation between available aviation emission data and contrail cover using the existing GCM results as proxy. Additionally, we use the ice crystal size spectrum and shape determined from the Subsonic Aircraft Contrail and Cloud Effects Special Study (SUCCESS) for calculations of the optical properties of contrails/CICC for input to the regional climate model. Preliminary simulation results and uncertainty analysis are presented in association with the effects of contrails/CICC cover and ice crystal size/shape on surface radiative forcing, surface temperature, and snow cover over the WUS in spring.

  3. Analysis of non-conformity in continuous quality improvement in a Hospital Radiopharmacy Unit.

    Science.gov (United States)

    Martinez, T; Contreras, J F

    To perform an analysis of non-conformities (NC) registered between 2012 and 2015, as a part of the review process of the Quality Management System of our Radiopharmacy Unit. Non-conformities registered in the Radiopharmacy Unit in the period 2012-2015 are analyzed and sorted by their impact on the process (critical, major, and minor), cause/origin of the non-conformity, and nature of radiopharmaceutical (PET vs. SPECT). A decrease in the NC of 20% per year is observed, especially in PET radiopharmaceuticals. Non-conformities in SPECT make up about 62-84% of the total of the NC, mainly related to the high number of doses prepared and not administered, which is about 1.5-3% in the ratio of non-administered/administered per year. Analysis of the NC can be considered as a useful indicator in assessment of quality assurance, and in our particular case, the decrease in the registration of NC indicates effectiveness in the corrective and preventive actions implemented. Copyright © 2016 Elsevier España, S.L.U. y SEMNIM. All rights reserved.

  4. Specific ways to improve quality of control system for power unit

    Energy Technology Data Exchange (ETDEWEB)

    Mironov, V.D.; Garbuzov, V.G.; Zhidkov, A.A.; Senyagin, Yu.V.

    1984-08-01

    Only a part of all automation equipment which has been designed for control of power units in power generating plants is actually used and must, moreover, be continuously inspected by station personnel. The two main reasons for this are an inadequate level of preparedness for automation and insufficiently high quality of the control system, characterized by steadily increasing complexity and decreasing reliability as well as high cost and poor accessibility. In order to remedy this situation, experimental studies on a correct approach to the problem in the planning and design stage already had begun in the Soviet Union in the early nineteen sixties and have continued ever since. The basic structure of a control system in a power plant consist of five subsystems: automatic control, logic control, protective shielding, remote control and data display. This structure has been modified by utilization of computer technology. With redundancy regarded as a tradeoff between cost of shutdown and cost of control hardware, a two-tier structure is so far found to be optimum. Here decentralized simple special-purpose equipment executes simple algorithms at the lower level, while the process control computer aids execution of complex algorithms at the upper level. Memory elements interface the two levels, for reducing the adverse economic consequences of computer failure. In a typical case of maneuvering with a process control computer, a 200 MW power unit under variable load conditions will reduce the total unpreparedness time over a 7500 hours operating period from 30 h to 2 h. 6 references, 4 figures.

  5. United States Supports Distributed Wind Technology Improvements; NREL (National Renewable Energy Laboratory)

    Energy Technology Data Exchange (ETDEWEB)

    Sinclair, Karin

    2015-06-15

    This presentation provides information on the activities conducted through the Competitiveness Improvement Project (CIP), initiated in 2012 by the U.S. Department of Energy (DOE) and executed through the National Renewable Energy Laboratory (NREL) to support the distributed wind industry. The CIP provides research and development funding and technical support to improve distributed wind turbine technology and increase the competitiveness of U.S. small and midsize wind turbine manufacturers. Through this project, DOE/NREL assists U.S. manufacturers to lower the levelized cost of energy of wind turbines through component improvements, manufacturing process upgrades, and turbine testing. Ultimately, this support is expected to lead to turbine certification through testing to industry-recognized wind turbine performance and safety standards.

  6. Loss-improved electroacoustical modeling of small Helmholtz resonators.

    Science.gov (United States)

    Starecki, Tomasz

    2007-10-01

    Modeling of small Helmholtz resonators based on electroacoustical analogies often results in significant disagreement with measurements, as existing models do not take into account some losses that are observed in practical implementations of such acoustical circuits, e.g., in photoacoustic Helmholtz cells. The paper presents a method which introduces loss corrections to the transmission line model, resulting in substantial improvement of simulations. Values of the loss corrections obtained from comparison of frequency responses of practically implemented resonators with computer simulations are presented in tabular and graphical form. A simple analytical function that can be used for interpolation or extrapolation of the loss corrections for other dimensions of the Helmholtz resonators is also given. Verification of such a modeling method against an open two-cavity Helmholtz structure shows very good agreement between measurements and simulations.

  7. An improved source model for aircraft interior noise studies

    Science.gov (United States)

    Mahan, J. R.; Fuller, C. R.

    1985-01-01

    There is concern that advanced turboprop engines currently being developed may produce excessive aircraft cabin noise level. This concern has stimulated renewed interest in developing aircraft interior noise reduction methods that do not significnatly increase take off weight. An existing analytical model for noise transmission into aircraft cabins was utilized to investigate the behavior of an improved propeller source model for use in aircraft interior noise studies. The new source model, a virtually rotating dipole, is shown to adequately match measured fuselage sound pressure distributions, including the correct phase relationships, for published data. The virtually rotating dipole is used to study the sensitivity of synchrophasing effectiveness to the fuselage sound pressure trace velocity distribution. Results of calculations are presented which reveal the importance of correctly modeling the surface pressure phase relations in synchrophasing and other aircraft interior noise studies.

  8. Improved Wave-vessel Transfer Functions by Uncertainty Modelling

    DEFF Research Database (Denmark)

    Nielsen, Ulrik Dam; Fønss Bach, Kasper; Iseki, Toshio

    2016-01-01

    This paper deals with uncertainty modelling of wave-vessel transfer functions used to calculate or predict wave-induced responses of a ship in a seaway. Although transfer functions, in theory, can be calculated to exactly reflect the behaviour of the ship when exposed to waves, uncertainty in input...... variables, notably speed, draft and relative wave eading, often compromises results. In this study, uncertling is applied to improve theoretically calculated transfer functions, so they better fit the corresponding experimental, full-scale ones. Based on a vast amount of full-scale measurements data......, it is shown that uncertainty modelling can be successfully used to improve accuracy (and reliability) of theoretical transfer functions....

  9. Process-Improvement Cost Model for the Emergency Department.

    Science.gov (United States)

    Dyas, Sheila R; Greenfield, Eric; Messimer, Sherri; Thotakura, Swati; Gholston, Sampson; Doughty, Tracy; Hays, Mary; Ivey, Richard; Spalding, Joseph; Phillips, Robin

    2015-01-01

    The objective of this report is to present a simplified, activity-based costing approach for hospital emergency departments (EDs) to use with Lean Six Sigma cost-benefit analyses. The cost model complexity is reduced by removing diagnostic and condition-specific costs, thereby revealing the underlying process activities' cost inefficiencies. Examples are provided for evaluating the cost savings from reducing discharge delays and the cost impact of keeping patients in the ED (boarding) after the decision to admit has been made. The process-improvement cost model provides a needed tool in selecting, prioritizing, and validating Lean process-improvement projects in the ED and other areas of patient care that involve multiple dissimilar diagnoses.

  10. Topography Image Segmentation Based on Improved Chan-Vese Model

    Institute of Scientific and Technical Information of China (English)

    ZHAO Min-rong; ZHANG Xi-wen; JIANG Juan-na

    2013-01-01

    Aiming to solve the inefficient segmentation in traditional C-V model for complex topography image and time-consuming process caused by the level set function solving with partial differential, an improved Chan-Vese model is presented in this paper. With the good performances of maintaining topological properties of the traditional level set method and avoiding the numerical so-lution of partial differential, the same segmentation results could be easily obtained. Thus, a stable foundation for rapid segmenta-tion-based on image reconstruction identification is established.

  11. Improving intellectual capital model using analytic network process

    Directory of Open Access Journals (Sweden)

    Ratapol Wudhikarn

    2013-06-01

    Full Text Available This study proposes a new approach to prioritize the key company’s indicators and relative elements following process model of intellectual capital (IC. The IC is improved by the application ofanalytic network process (ANP. The ANP provides the weights and priorities to all focused key performance indicators (KPIs serving to the business concept. These obtained weights can also be passedto other relative elements, those of key success factors (KSFs and IC categories, in the process model of IC. These prioritized KPIs, KSFs and IC categories assist the managers and decision-makers to focus on the crucial elements that mostly affect the business concept.

  12. Does better rainfall interpolation improve hydrological model performance?

    Science.gov (United States)

    Bàrdossy, Andràs; Kilsby, Chris; Lewis, Elisabeth

    2017-04-01

    High spatial variability of precipitation is one of the main sources of uncertainty in rainfall/runoff modelling. Spatially distributed models require detailed space time information on precipitation as input. In the past decades a lot of effort was spent on improving precipitation interpolation using point observations. Different geostatistical methods like Ordinary Kriging, External Drift Kriging or Copula based interpolation can be used to find the best estimators for unsampled locations. The purpose of this work is to investigate to what extents more sophisticated precipitation estimation methods can improve model performance. For this purpose the Wye catchment in Wales was selected. The physically-based spatially-distributed hydrological model SHETRAN is used to describe the hydrological processes in the catchment. 31 raingauges with 1 hourly temporal resolution are available for a time period of 6 years. In order to avoid the effect of model uncertainty model parameters were not altered in this study. Instead 100 random subsets consisting of 14 stations each were selected. For each of the configurations precipitation was interpolated for each time step using nearest neighbor (NN), inverse distance (ID) and Ordinary Kriging (OK). The variogram was obtained using the temporal correlation of the time series measured at different locations. The interpolated data were used as input for the spatially distributed model. Performance was evaluated for daily mean discharges using the Nash-Sutcliffe coefficient, temporal correlations, flow volumes and flow duration curves. The results show that the simplest NN and the sophisticated OK performances are practically equally good, while ID performed worse. NN was often better for high flows. The reason for this is that NN does not reduce the variance, while OK and ID yield smooth precipitation fields. The study points out the importance of precipitation variability and suggests the use of conditional spatial simulation as

  13. Model improvements for tritium transport in DEMO fuel cycle

    Energy Technology Data Exchange (ETDEWEB)

    Santucci, Alessia, E-mail: alessia.santucci@enea.it [Unità Tecnica Fusione – ENEA C. R. Frascati, Via E. Fermi 45, 00044 Frascati (Roma) (Italy); Tosti, Silvano [Unità Tecnica Fusione – ENEA C. R. Frascati, Via E. Fermi 45, 00044 Frascati (Roma) (Italy); Franza, Fabrizio [Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, D-76344 Eggenstein-Leopoldshafen (Germany)

    2015-10-15

    Highlights: • T inventory and permeation of DEMO blankets have been assessed under pulsed operation. • 1-D model for T transport has been developed for the HCLL DEMO blanket. • The 1-D model evaluated T partial pressure and T permeation rate radial profiles. - Abstract: DEMO operation requires a large amount of tritium, which is directly produced inside the reactor by means of Li-based breeders. During its production, recovering and purification, tritium comes in contact with large surfaces of hot metallic walls, therefore it can permeate through the blanket cooling structure, reach the steam generator and finally the environment. The development of dedicated simulation tools able to predict tritium losses and inventories is necessary to verify the accomplishment of the accepted tritium environmental releases as well as to guarantee a correct machine operation. In this work, the FUS-TPC code is improved by including the possibility to operate in pulsed regime: results in terms of tritium inventory and losses for three pulsed scenarios are shown. Moreover, the development of a 1-D model considering the radial profile of the tritium generation is described. By referring to the inboard segment on the equatorial axis of the helium-cooled lithium–lead (HCLL) blanket, preliminary results of the 1-D model are illustrated: tritium partial pressure in Li–Pb and tritium permeation in the cooling and stiffening plates by assuming several permeation reduction factor (PRF) values. Future improvements will consider the application of the model to all segments of different blanket concepts.

  14. A time-dependent model for improved biogalvanic tissue characterisation.

    Science.gov (United States)

    Chandler, J H; Culmer, P R; Jayne, D G; Neville, A

    2015-10-01

    Measurement of the passive electrical resistance of biological tissues through biogalvanic characterisation has been proposed as a simple means of distinguishing healthy from diseased tissue. This method has the potential to provide valuable real-time information when integrated into surgical tools. Characterised tissue resistance values have been shown to be particularly sensitive to external load switching direction and rate, bringing into question the stability and efficacy of the technique. These errors are due to transient variations observed in measurement data that are not accounted for in current electrical models. The presented research proposes the addition of a time-dependent element to the characterisation model to account for losses associated with this transient behaviour. Influence of switching rate has been examined, with the inclusion of transient elements improving the repeatability of the characterised tissue resistance. Application of this model to repeat biogalvanic measurements on a single ex vivo human colon tissue sample with healthy and cancerous (adenocarcinoma) regions showed a statistically significant difference (p  0.05) between tissue types was found when measurements were subjected to the current model, suggesting that the proposed model may allow for improved biogalvanic tissue characterisation. Copyright © 2015 IPEM. Published by Elsevier Ltd. All rights reserved.

  15. Improved head-driven statistical models for natural language parsing

    Institute of Scientific and Technical Information of China (English)

    袁里驰

    2013-01-01

    Head-driven statistical models for natural language parsing are the most representative lexicalized syntactic parsing models, but they only utilize semantic dependency between words, and do not incorporate other semantic information such as semantic collocation and semantic category. Some improvements on this distinctive parser are presented. Firstly, "valency" is an essential semantic feature of words. Once the valency of word is determined, the collocation of the word is clear, and the sentence structure can be directly derived. Thus, a syntactic parsing model combining valence structure with semantic dependency is purposed on the base of head-driven statistical syntactic parsing models. Secondly, semantic role labeling(SRL) is very necessary for deep natural language processing. An integrated parsing approach is proposed to integrate semantic parsing into the syntactic parsing process. Experiments are conducted for the refined statistical parser. The results show that 87.12% precision and 85.04% recall are obtained, and F measure is improved by 5.68% compared with the head-driven parsing model introduced by Collins.

  16. ACHIEVING MATURITY (AND MEASURING PERFORMANCE THROUGH MODEL-BASED PROCESS IMPROVEMENT

    Directory of Open Access Journals (Sweden)

    Jose Marcelo Almeida Prado Cestari

    2013-08-01

    Full Text Available This paper presents the approach adopted by a software development unit in order to achieve the maturity level 3 of CMMI-DEV and therefore obtaining better performance. Through historical research and secondary data analysis of the organization, the paper intends to answer the following research question: "Could the adoption of maturity/best practices models bring better performance results to small and medium organizations?" Data and analysis conducted show that, besides the creation of indicator’s based management, there are some quantitative performance improvements in indicators such as: Schedule Deviation Rate, Effort Deviation Rate, Percent Late Delivery, Productivity Deviation and Internal Rework Rate

  17. Improved Likelihood Ratio Tests for Cointegration Rank in the VAR Model

    DEFF Research Database (Denmark)

    Boswijk, H. Peter; Jansson, Michael; Nielsen, Morten Ørregaard

    . The power gains relative to existing tests are due to two factors. First, instead of basing our tests on the conditional (with respect to the initial observations) likelihood, we follow the recent unit root literature and base our tests on the full likelihood as in, e.g., Elliott, Rothenberg, and Stock......We suggest improved tests for cointegration rank in the vector autoregressive (VAR) model and develop asymptotic distribution theory and local power results. The tests are (quasi-)likelihood ratio tests based on a Gaussian likelihood, but of course the asymptotic results apply more generally...

  18. Prediction of stress-strain behavior of ceramic matrix composites using unit cell model

    Directory of Open Access Journals (Sweden)

    Suzuki Takuya

    2015-01-01

    Full Text Available In this study, the elastic modulus and the stress-strain curve of ceramic matrix composites (CMCs were predicted by using the unit cell model that consists of fiber bundles and matrix. The unit cell model was developed based on the observation of cross sections of CMCs. The elastic modulus of CMCs was calculated from the results of finite element analysis using the developed model. The non-linear behavior of stress-strain curve of CMCs was also predicted by taking the degradation of the elastic modulus into consideration, where the degradation was related to the experimentally measured crack density in CMCs. The approach using the unit cell model was applied to two kinds of CMCs, and good agreement was obtained between the experimental and the calculated results.

  19. Towards an Improved Performance Measure for Language Models

    CERN Document Server

    Ueberla, J P

    1997-01-01

    In this paper a first attempt at deriving an improved performance measure for language models, the probability ratio measure (PRM) is described. In a proof of concept experiment, it is shown that PRM correlates better with recognition accuracy and can lead to better recognition results when used as the optimisation criterion of a clustering algorithm. Inspite of the approximations and limitations of this preliminary work, the results are very encouraging and should justify more work along the same lines.

  20. Modeling and Simulation of Ceramic Arrays to Improve Ballistic Performance

    Science.gov (United States)

    2014-04-30

    distribution is Unlimited. 13. SUPPLEMENTARY NOTES 14. ABSTRACT -Develop Modeling and Simulation tools, use Depth of Penetration ( DOP ) as metric...7.62 APM2 -Evaluate SiC tile on Aluminum with material properties from literature -Develop seam designs to improve performance, demonstrate with DOP ...5083, SiC, DoP Expeminets, AutoDyn Sin 16. SECURITY CLASSIFICATION OF: UU a. REPORT b. ABSTRACT c. THIS PAGE 17. LIMITATION OF ABSTRACT UU 18

  1. Can fire atlas data improve species distribution model projections?

    Science.gov (United States)

    Crimmins, Shawn M; Dobrowski, Solomon Z; Mynsberge, Alison R; Safford, Hugh D

    2014-07-01

    Correlative species distribution models (SDMs) are widely used in studies of climate change impacts, yet are often criticized for failing to incorporate disturbance processes that can influence species distributions. Here we use two temporally independent data sets of vascular plant distributions, climate data, and fire atlas data to examine the influence of disturbance history on SDM projection accuracy through time in the mountain ranges of California, USA. We used hierarchical partitioning to examine the influence of fire occurrence on the distribution of 144 vascular plant species and built a suite of SDMs to examine how the inclusion of fire-related predictors (fire occurrence and departure from historical fire return intervals) affects SDM projection accuracy. Fire occurrence provided the least explanatory power among predictor variables for predicting species' distributions, but provided improved explanatory power for species whose regeneration is tied closely to fire. A measure of the departure from historic fire return interval had greater explanatory power for calibrating modern SDMs than fire occurrence. This variable did not improve internal model accuracy for most species, although it did provide marginal improvement to models for species adapted to high-frequency fire regimes. Fire occurrence and fire return interval departure were strongly related to the climatic covariates used in SDM development, suggesting that improvements in model accuracy may not be expected due to limited additional explanatory power. Our results suggest that the inclusion of coarse-scale measures of disturbance in SDMs may not be necessary to predict species distributions under climate change, particularly for disturbance processes that are largely mediated by climate.

  2. Empowerment and continuous improvement in the United States, Mexico, Poland, and India: predicting fit on the basis of the dimensions of power distance and individualism.

    Science.gov (United States)

    Robert, C; Probst, T M; Martocchio, J J; Drasgow, F; Lawler, J J

    2000-10-01

    Although variations in national cultures predominate as explanation for the belief that universal approaches to management do not exist, there have been few reports of systematic studies. Data from employees of a single firm with operations in the United States, Mexico, Poland, and India were used to test the fit of empowerment and continuous improvement practices with national culture. Using the theoretical constructs of individualism-collectivism and power distance, the authors predicted that the practices would be more congruent in some cultures than in others and that value congruence would result in job satisfaction. Using structural equations modeling, the authors found that empowerment was negatively associated with satisfaction in India but positively associated in the other 3 samples. Continuous improvement was positively associated with satisfaction in all samples. Substantive, theoretical, and methodological implications are discussed.

  3. Voxel inversion of airborne electromagnetic data for improved model integration

    Science.gov (United States)

    Fiandaca, Gianluca; Auken, Esben; Kirkegaard, Casper; Vest Christiansen, Anders

    2014-05-01

    spatially constrained 1D models with 29 layers. For comparison, the SCI inversion models have been gridded on the same grid of the voxel inversion. The new voxel inversion and the classic SCI give similar data fit and inversion models. The voxel inversion decouples the geophysical model from the position of acquired data, and at the same time fits the data as well as the classic SCI inversion. Compared to the classic approach, the voxel inversion is better suited for informing directly (hydro)geological models and for sequential/Joint/Coupled (hydro)geological inversion. We believe that this new approach will facilitate the integration of geophysics, geology and hydrology for improved groundwater and environmental management.

  4. Folk music style modelling by recurrent neural networks with long short term memory units

    OpenAIRE

    Sturm, Bob; Santos, João Felipe; Korshunova, Iryna

    2015-01-01

    We demonstrate two generative models created by training a recurrent neural network (RNN) with three hidden layers of long short-term memory (LSTM) units. This extends past work in numerous directions, including training deeper models with nearly 24,000 high-level transcriptions of folk tunes. We discuss our on-going work.

  5. Modeling Quality-Adjusted Life Expectancy Loss Resulting from Tobacco Use in the United States

    Science.gov (United States)

    Kaplan, Robert M.; Anderson, John P.; Kaplan, Cameron M.

    2007-01-01

    Purpose: To describe the development of a model for estimating the effects of tobacco use upon Quality Adjusted Life Years (QALYs) and to estimate the impact of tobacco use on health outcomes for the United States (US) population using the model. Method: We obtained estimates of tobacco consumption from 6 years of the National Health Interview…

  6. Multi-Conditional Latent Variable Model for Joint Facial Action Unit Detection

    NARCIS (Netherlands)

    Eleftheriadis, Stefanos; Rudovic, Ognjen; Pantic, Maja

    2015-01-01

    We propose a novel multi-conditional latent variable model for simultaneous facial feature fusion and detection of facial action units. In our approach we exploit the structure-discovery capabilities of generative models such as Gaussian processes, and the discriminative power of classifiers such as

  7. Improving College Access in the United States: Barriers and Policy Responses. NBER Working Paper No. 21781

    Science.gov (United States)

    Page, Lindsay C.; Scott-Clayton, Judith

    2015-01-01

    Socioeconomic gaps in college enrollment and attainment have widened over time, despite increasing returns to postsecondary education and significant policy efforts to improve access. We describe the barriers that students face during the transition to college and review the evidence on potential policy solutions. We focus primarily on research…

  8. Presidential Address: How to Improve Poverty Measurement in the United States

    Science.gov (United States)

    Blank, Rebecca M.

    2008-01-01

    This paper discusses the reasons why the current official U.S. poverty measure is outdated and nonresponsive to many anti-poverty initiatives. A variety of efforts to update and improve the statistic have failed, for political, technical, and institutional reasons. Meanwhile, the European Union is taking a very different approach to poverty…

  9. Improved vacuum evaporation unit for beryllium coating for biological X-ray microanalysis.

    Science.gov (United States)

    Marshall, A T; Carde, D; Kent, M

    1985-09-01

    An improved vacuum evaporator is described for coating frozen-hydrated biological samples with beryllium for X-ray microanalysis. The evaporator permits repeated coatings without bringing the main chamber to atmospheric pressure and ambient temperature. The use of a glass sleeve in the evaporation chamber facilitates cleaning.

  10. Improved quark coalescence for a multi-phase transport model

    Science.gov (United States)

    He, Yuncun; Lin, Zi-Wei

    2017-07-01

    The string melting version of a multi-phase transport model is often applied to high-energy heavy-ion collisions since the dense matter thus formed is expected to be in parton degrees of freedom. In this work we improve its quark coalescence component, which describes the hadronization of the partonic matter to a hadronic matter. We removed the previous constraint that forced the numbers of mesons, baryons, and antibaryons in an event to be separately conserved through the quark coalescence process. A quark now could form either a meson or a baryon depending on the distance to its coalescence partner(s). We then compare results from the improved model with the experimental data on hadron d N /d y ,pT spectra, and v2 in heavy-ion collisions from √{s NN}=62.4 GeV to 5.02 TeV. We show that, besides being able to describe these observables for low-pTpions and kaons, the improved model also better describes the low-p T baryon observables in general, especially the baryon p T spectra and antibaryon-to-baryon ratios for multistrange baryons.

  11. Cefepime restriction improves gram-negative overall resistance patterns in neonatal intensive care unit

    Directory of Open Access Journals (Sweden)

    Orlei Ribeiro de Araujo

    Full Text Available Antibiotic restriction can be useful in maintaining bacterial susceptibility. The objective of this study was verify if restriction of cefepime, the most frequently used cephalosporin in our neonatal intensive care unit (NICU, would ameliorate broad-spectrum susceptibility of Gram-negative isolates. Nine hundred and ninety-five premature and term newborns were divided into 3 cohorts, according to the prevalence of cefepime use in the unit: Group 1 (n=396 comprised patients admitted from January 2002 to December 2003, period in which cefepime was the most used broad-spectrum antibiotic. Patients in Group 2 (n=349 were admitted when piperacillin/tazobactam replaced cefepime (January to December 2004 and in Group 3 (n=250 when cefepime was reintroduced (January to September 2005. Meropenem was the alternative third-line antibiotic for all groups. Multiresistance was defined as resistance to 2 or more unrelated antibiotics, including necessarily a third or fourth generation cephalosporin, piperacillin/tazobactam or meropenem. Statistics involved Kruskal-Wallis, Mann-Whitney and logrank tests, Kaplan-Meier analysis. Groups were comparable in length of stay, time of mechanical ventilation, gestational age and birth weight. Ninety-eight Gram-negative isolates were analyzed. Patients were more likely to remain free of multiresistant isolates by Kaplan-Meier analysis in Group 2 when compared to Group 1 (p=0.017 and Group 3 (p=0.003. There was also a significant difference in meropenem resistance rates. Cefepime has a greater propensity to select multiresistant Gram-negative pathogens than piperacillin/tazobactam and should not be used extensively in neonatal intensive care.

  12. Cefepime restriction improves gram-negative overall resistance patterns in neonatal intensive care unit

    Directory of Open Access Journals (Sweden)

    Orlei Ribeiro de Araujo

    2007-04-01

    Full Text Available Antibiotic restriction can be useful in maintaining bacterial susceptibility. The objective of this study was verify if restriction of cefepime, the most frequently used cephalosporin in our neonatal intensive care unit (NICU, would ameliorate broad-spectrum susceptibility of Gram-negative isolates. Nine hundred and ninety-five premature and term newborns were divided into 3 cohorts, according to the prevalence of cefepime use in the unit: Group 1 (n=396 comprised patients admitted from January 2002 to December 2003, period in which cefepime was the most used broad-spectrum antibiotic. Patients in Group 2 (n=349 were admitted when piperacillin/tazobactam replaced cefepime (January to December 2004 and in Group 3 (n=250 when cefepime was reintroduced (January to September 2005. Meropenem was the alternative third-line antibiotic for all groups. Multiresistance was defined as resistance to 2 or more unrelated antibiotics, including necessarily a third or fourth generation cephalosporin, piperacillin/tazobactam or meropenem. Statistics involved Kruskal-Wallis, Mann-Whitney and logrank tests, Kaplan-Meier analysis. Groups were comparable in length of stay, time of mechanical ventilation, gestational age and birth weight. Ninety-eight Gram-negative isolates were analyzed. Patients were more likely to remain free of multiresistant isolates by Kaplan-Meier analysis in Group 2 when compared to Group 1 (p=0.017 and Group 3 (p=0.003. There was also a significant difference in meropenem resistance rates. Cefepime has a greater propensity to select multiresistant Gram-negative pathogens than piperacillin/tazobactam and should not be used extensively in neonatal intensive care.

  13. Research of united model of knowledge discovery state space and its application

    Institute of Scientific and Technical Information of China (English)

    You Fucheng; Song Wei; Yang Bingru

    2005-01-01

    There are both associations and differences between structured and unstructured data mining. How to unite them together to be a united theoretical framework and to guide the research of knowledge discovery and data mining has become an urgent problem to be solved. On the base of analysis and study of existing research results, the united model of knowledge discovery state space (UMKDSS) is presented, and the structured data mining and the complex type data mining are associated together. UMKDSS can provide theoretical guidance for complex type data mining. An application example of UMKDSS is given at last.

  14. Tests of the improved Weiland ion temperature gradient transport model

    Energy Technology Data Exchange (ETDEWEB)

    Kinsey, J.E.; Bateman, G.; Kritz, A.H. [Lehigh Univ., Bethlehem, PA (United States)] [and others

    1996-12-31

    The Weiland theoretically derived transport model for ion temperature gradient and trapped electron modes has been improved to include the effects of parallel ion motion, finite beta, and collisionality. The model also includes the effects of impurities, fast ions, unequal ion and electron temperatures, and finite Larmor radius. This new model has been implemented in our time-dependent transport code and is used in conjunction with pressure-driven modes and neoclassical theory to predict the radial particle and thermal transport in tokamak plasmas. Simulations of TFTR, DIII-D, and JET L-mode plasmas have been conducted to test how the new effects change the predicted density and temperature profiles. Comparisons are made with results obtained using the previous version of the model which was successful in reproducing experimental data from a wide variety of tokamak plasmas. Specifically, the older model has been benchmarked against over 50 discharges from at least 7 different tokamaks including L-mode scans in current, heating power, density, and dimensionless scans in normalized gyro-radius, collisionality, and beta. We have also investigated the non-diffusive elements included in the Weiland model, particularly the particle pinch in order to characterize its behavior. This is partly motivated by recent simulations of ITER. In those simulations, the older Weiland model predicted a particle pinch and ignition was more easily obtained.

  15. [Improvement of genetics teaching using literature-based learning model].

    Science.gov (United States)

    Liang, Liang; Shiqian, Liang; Hongyan, Qin; Yong, Ji; Hua, Han

    2015-06-01

    Genetics is one of the most important courses for undergraduate students majoring in life science. In recent years, new knowledge and technologies are continually updated with deeper understanding of life science. However, the teaching model of genetics is still based on theoretical instruction, which makes the abstract principles hard to understand by students and directly affects the teaching effect. Thus, exploring a new teaching model is necessary. We have carried out a new teaching model, literature-based learning, in the course on Microbial Genetics for undergraduate students majoring in biotechnology since 2010. Here we comprehensively analyzed the implementation and application value of this model including pre-course knowledge, how to choose professional literature, how to organize teaching process and the significance of developing this new teaching model for students and teachers. Our literature-based learning model reflects the combination of "cutting-edge" and "classic" and makes book knowledge easy to understand, which improves students' learning effect, stimulates their interests, expands their perspectives and develops their ability. This practice provides novel insight into exploring new teaching model of genetics and cultivating medical talents capable of doing both basic and clinical research in the "precision medicine" era.

  16. Data envelopment analysis model for the appraisal and relative performance evaluation of nurses at an intensive care unit.

    Science.gov (United States)

    Osman, Ibrahim H; Berbary, Lynn N; Sidani, Yusuf; Al-Ayoubi, Baydaa; Emrouznejad, Ali

    2011-10-01

    The appraisal and relative performance evaluation of nurses are very important and beneficial for both nurses and employers in an era of clinical governance, increased accountability and high standards of health care services. They enhance and consolidate the knowledge and practical skills of nurses by identification of training and career development plans as well as improvement in health care quality services, increase in job satisfaction and use of cost-effective resources. In this paper, a data envelopment analysis (DEA) model is proposed for the appraisal and relative performance evaluation of nurses. The model is validated on thirty-two nurses working at an Intensive Care Unit (ICU) at one of the most recognized hospitals in Lebanon. The DEA was able to classify nurses into efficient and inefficient ones. The set of efficient nurses was used to establish an internal best practice benchmark to project career development plans for improving the performance of other inefficient nurses. The DEA result confirmed the ranking of some nurses and highlighted injustice in other cases that were produced by the currently practiced appraisal system. Further, the DEA model is shown to be an effective talent management and motivational tool as it can provide clear managerial plans related to promoting, training and development activities from the perspective of nurses, hence increasing their satisfaction, motivation and acceptance of appraisal results. Due to such features, the model is currently being considered for implementation at ICU. Finally, the ratio of the number DEA units to the number of input/output measures is revisited with new suggested values on its upper and lower limits depending on the type of DEA models and the desired number of efficient units from a managerial perspective.

  17. Modelling local government unit credit risk in the Republic of Croatia

    Directory of Open Access Journals (Sweden)

    Petra Posedel

    2012-12-01

    Full Text Available The objective of this paper is to determine possible indicators that affect local unit credit risk and investigate their effect on default (credit risk of local government units in Croatia. No system for the estimation of local unit credit risk has been established in Croatia so far causing many practical problems in local unit borrowing. Because of the specific nature of the operations of local government units and legislation that does not allow local government units to go into bankruptcy, conventional methods for estimating credit risk are not applicable, and the set of standard potential determinants of credit risk has to be expanded with new indicators. Thus in the paper, in addition to the usual determinants of credit risk, the hypothesis of the influence of political factors on local unit credit risk in Croatia is also tested out, with the use of a Tobit model. Results of econometric analysis show that credit risk of local government units in Croatia is affected by the political structure of local government, the proportion of income tax and surtax in operating revenue, the ratio of net operating balance, net financial liabilities and direct debt to operating revenue, as well as the ratio of debt repayment and cash, and direct debt and operating revenue.

  18. Hydrogeological modeling for improving groundwater monitoring network and strategies

    Science.gov (United States)

    Thakur, Jay Krishna

    2016-09-01

    The research aimed to investigate a new approach for spatiotemporal groundwater monitoring network optimization using hydrogeological modeling to improve monitoring strategies. Unmonitored concentrations were incorporated at different potential monitoring locations into the groundwater monitoring optimization method. The proposed method was applied in the contaminated megasite, Bitterfeld/Wolfen, Germany. Based on an existing 3-D geological model, 3-D groundwater flow was obtained from flow velocity simulation using initial and boundary conditions. The 3-D groundwater transport model was used to simulate transport of α-HCH with an initial ideal concentration of 100 mg/L injected at various hydrogeological layers in the model. Particle tracking for contaminant and groundwater flow velocity realizations were made. The spatial optimization result suggested that 30 out of 462 wells in the Quaternary aquifer (6.49 %) and 14 out of 357 wells in the Tertiary aquifer (3.92 %) were redundant. With a gradual increase in the width of the particle track path line, from 0 to 100 m, the number of redundant wells remarkably increased, in both aquifers. The results of temporal optimization showed different sampling frequencies for monitoring wells. The groundwater and contaminant flow direction resulting from particle tracks obtained from hydrogeological modeling was verified by the variogram modeling through α-HCH data from 2003 to 2009. Groundwater monitoring strategies can be substantially improved by removing the existing spatio-temporal redundancy as well as incorporating unmonitored network along with sampling at recommended interval of time. However, the use of this model-based method is only recommended in the areas along with site-specific experts' knowledge.

  19. Living Organ Donation and Informed Consent in the United States: Strategies to Improve the Process.

    Science.gov (United States)

    Henderson, Macey L; Gross, Jed Adam

    2017-03-01

    About 6,000 individuals participate in the U.S. transplant system as a living organ donor each year. Organ donation (most commonly a kidney or part of liver) by living individuals is a unique procedure, where healthy patients undergo a major surgical operation without any direct functional benefit to themselves. In this article, the authors explore how the ideal of informed consent guides education and evaluation for living organ donation. The authors posit that informed consent for living organ donation is a process. Though the steps in this process are partially standardized through national health policy, they can be improved through institutional structures at the local, transplant center-level. Effective structures and practices aimed at supporting and promoting comprehensive informed consent provide more opportunities for candidates to ask questions about the risks and benefits of living donation and to opt out voluntarily Additionally, these practices could enable new ways of measuring knowledge and improving the consent process.

  20. TRAFFIC CONTROL AND IMPROVING RELATIONS DRIVERS OF VEHICLES WITH EMPLOYEES UNITS GAI CITIES OF DNIPROPETROVSK

    OpenAIRE

    Мозолевич, Г. Я.; А. В. ТРОЯН

    2013-01-01

    In this work there were suggested the arrangements for the improvement of mutual relations of drivers and employees of the State motor-car inspection of Dnipropetrovsk city by introduction of electronic account of documents and automation of processes of travelling traffic regulation and controlling a travelling situation on the motor-car ways of city. There has been worked out strategy of introduction and expected cost of project for Dni-propetrovsk city. 

  1. Improvement of Basic Fluid Dynamics Models for the COMPASS Code

    Science.gov (United States)

    Zhang, Shuai; Morita, Koji; Shirakawa, Noriyuki; Yamamoto, Yuichi

    The COMPASS code is a new next generation safety analysis code to provide local information for various key phenomena in core disruptive accidents of sodium-cooled fast reactors, which is based on the moving particle semi-implicit (MPS) method. In this study, improvement of basic fluid dynamics models for the COMPASS code was carried out and verified with fundamental verification calculations. A fully implicit pressure solution algorithm was introduced to improve the numerical stability of MPS simulations. With a newly developed free surface model, numerical difficulty caused by poor pressure solutions is overcome by involving free surface particles in the pressure Poisson equation. In addition, applicability of the MPS method to interactions between fluid and multi-solid bodies was investigated in comparison with dam-break experiments with solid balls. It was found that the PISO algorithm and free surface model makes simulation with the passively moving solid model stable numerically. The characteristic behavior of solid balls was successfully reproduced by the present numerical simulations.

  2. Improved Modeling in a Matlab-Based Navigation System

    Science.gov (United States)

    Deutschmann, Julie; Bar-Itzhack, Itzhack; Harman, Rick; Larimore, Wallace E.

    1999-01-01

    An innovative approach to autonomous navigation is available for low earth orbit satellites. The system is developed in Matlab and utilizes an Extended Kalman Filter (EKF) to estimate the attitude and trajectory based on spacecraft magnetometer and gyro data. Preliminary tests of the system with real spacecraft data from the Rossi X-Ray Timing Explorer Satellite (RXTE) indicate the existence of unmodeled errors in the magnetometer data. Incorporating into the EKF a statistical model that describes the colored component of the effective measurement of the magnetic field vector could improve the accuracy of the trajectory and attitude estimates and also improve the convergence time. This model is identified as a first order Markov process. With the addition of the model, the EKF attempts to identify the non-white components of the noise allowing for more accurate estimation of the original state vector, i.e. the orbital elements and the attitude. Working in Matlab allows for easy incorporation of new models into the EKF and the resulting navigation system is generic and can easily be applied to future missions resulting in an alternative in onboard or ground-based navigation.

  3. Managing health care decisions and improvement through simulation modeling.

    Science.gov (United States)

    Forsberg, Helena Hvitfeldt; Aronsson, Håkan; Keller, Christina; Lindblad, Staffan

    2011-01-01

    Simulation modeling is a way to test changes in a computerized environment to give ideas for improvements before implementation. This article reviews research literature on simulation modeling as support for health care decision making. The aim is to investigate the experience and potential value of such decision support and quality of articles retrieved. A literature search was conducted, and the selection criteria yielded 59 articles derived from diverse applications and methods. Most met the stated research-quality criteria. This review identified how simulation can facilitate decision making and that it may induce learning. Furthermore, simulation offers immediate feedback about proposed changes, allows analysis of scenarios, and promotes communication on building a shared system view and understanding of how a complex system works. However, only 14 of the 59 articles reported on implementation experiences, including how decision making was supported. On the basis of these articles, we proposed steps essential for the success of simulation projects, not just in the computer, but also in clinical reality. We also presented a novel concept combining simulation modeling with the established plan-do-study-act cycle for improvement. Future scientific inquiries concerning implementation, impact, and the value for health care management are needed to realize the full potential of simulation modeling.

  4. Improving NASA's Multiscale Modeling Framework for Tropical Cyclone Climate Study

    Science.gov (United States)

    Shen, Bo-Wen; Nelson, Bron; Cheung, Samson; Tao, Wei-Kuo

    2013-01-01

    One of the current challenges in tropical cyclone (TC) research is how to improve our understanding of TC interannual variability and the impact of climate change on TCs. Recent advances in global modeling, visualization, and supercomputing technologies at NASA show potential for such studies. In this article, the authors discuss recent scalability improvement to the multiscale modeling framework (MMF) that makes it feasible to perform long-term TC-resolving simulations. The MMF consists of the finite-volume general circulation model (fvGCM), supplemented by a copy of the Goddard cumulus ensemble model (GCE) at each of the fvGCM grid points, giving 13,104 GCE copies. The original fvGCM implementation has a 1D data decomposition; the revised MMF implementation retains the 1D decomposition for most of the code, but uses a 2D decomposition for the massive copies of GCEs. Because the vast majority of computation time in the MMF is spent computing the GCEs, this approach can achieve excellent speedup without incurring the cost of modifying the entire code. Intelligent process mapping allows differing numbers of processes to be assigned to each domain for load balancing. The revised parallel implementation shows highly promising scalability, obtaining a nearly 80-fold speedup by increasing the number of cores from 30 to 3,335.

  5. Model-data integration to improve the LPJmL dynamic global vegetation model

    Science.gov (United States)

    Forkel, Matthias; Thonicke, Kirsten; Schaphoff, Sibyll; Thurner, Martin; von Bloh, Werner; Dorigo, Wouter; Carvalhais, Nuno

    2017-04-01

    Dynamic global vegetation models show large uncertainties regarding the development of the land carbon balance under future climate change conditions. This uncertainty is partly caused by differences in how vegetation carbon turnover is represented in global vegetation models. Model-data integration approaches might help to systematically assess and improve model performances and thus to potentially reduce the uncertainty in terrestrial vegetation responses under future climate change. Here we present several applications of model-data integration with the LPJmL (Lund-Potsdam-Jena managed Lands) dynamic global vegetation model to systematically improve the representation of processes or to estimate model parameters. In a first application, we used global satellite-derived datasets of FAPAR (fraction of absorbed photosynthetic activity), albedo and gross primary production to estimate phenology- and productivity-related model parameters using a genetic optimization algorithm. Thereby we identified major limitations of the phenology module and implemented an alternative empirical phenology model. The new phenology module and optimized model parameters resulted in a better performance of LPJmL in representing global spatial patterns of biomass, tree cover, and the temporal dynamic of atmospheric CO2. Therefore, we used in a second application additionally global datasets of biomass and land cover to estimate model parameters that control vegetation establishment and mortality. The results demonstrate the ability to improve simulations of vegetation dynamics but also highlight the need to improve the representation of mortality processes in dynamic global vegetation models. In a third application, we used multiple site-level observations of ecosystem carbon and water exchange, biomass and soil organic carbon to jointly estimate various model parameters that control ecosystem dynamics. This exercise demonstrates the strong role of individual data streams on the

  6. Improving Saliency Models by Predicting Human Fixation Patches

    KAUST Repository

    Dubey, Rachit

    2015-04-16

    There is growing interest in studying the Human Visual System (HVS) to supplement and improve the performance of computer vision tasks. A major challenge for current visual saliency models is predicting saliency in cluttered scenes (i.e. high false positive rate). In this paper, we propose a fixation patch detector that predicts image patches that contain human fixations with high probability. Our proposed model detects sparse fixation patches with an accuracy of 84 % and eliminates non-fixation patches with an accuracy of 84 % demonstrating that low-level image features can indeed be used to short-list and identify human fixation patches. We then show how these detected fixation patches can be used as saliency priors for popular saliency models, thus, reducing false positives while maintaining true positives. Extensive experimental results show that our proposed approach allows state-of-the-art saliency methods to achieve better prediction performance on benchmark datasets.

  7. Life course models: improving interpretation by consideration of total effects.

    Science.gov (United States)

    Green, Michael J; Popham, Frank

    2016-12-28

    Life course epidemiology has used models of accumulation and critical or sensitive periods to examine the importance of exposure timing in disease aetiology. These models are usually used to describe the direct effects of exposures over the life course. In comparison with consideration of direct effects only, we show how consideration of total effects improves interpretation of these models, giving clearer notions of when it will be most effective to intervene. We show how life course variation in the total effects depends on the magnitude of the direct effects and the stability of the exposure. We discuss interpretation in terms of total, direct and indirect effects and highlight the causal assumptions required for conclusions as to the most effective timing of interventions.

  8. An Exploration into the Uses of Agent-Based Modeling to Improve Quality of Healthcare

    Science.gov (United States)

    Kanagarajah, Ashok Kay; Lindsay, Peter; Miller, Anne; Parker, David

    Healthcare is a complex adaptive system. This paper discusses, healthcare in the context of complex systems architecture and an agent based modeling framework. The paper demonstrates complications of healthcare system improvement and it's impact on patient safety, economics and workloads. Further an application of safety dynamics model proposed by Cook and Rasmussen4 is explored using a hypothetical simulation of an emergency department. By means of simulation, this paper demonstrates the nonlinear behaviors of a health service unit and its complexities; and how the safety dynamic model may be used to evaluate various aspects of healthcare. Further work is required to apply this concept in a 'real life environment' and its consequence to societal, organizational and operational levels of healthcare.

  9. Improving efficiencies in pharmaceutical distribution channels using the economic order quantity model.

    Science.gov (United States)

    Sullivan, D L; Schommer, J C

    1993-01-01

    The purpose of this study was to investigate empirically the potential cost savings to a pharmaceutical wholesaler using the Economic Order Quantity (EOQ) model. This model allows for calculating the order quantity that minimizes both ordering and holding costs. A regional pharmaceutical wholesaler was selected for a case analysis study using the EOQ model. Eleven brand name products were randomly selected for the analysis. The average yearly cost savings using EOQ was $31.92 per product. The potential yearly cost savings based on 8500 brand name stock-keeping units was $271,320. Using EOQ can therefore assist pharmaceutical wholesalers in minimizing holding and ordering costs and improve efficiency for pharmaceutical distribution channels.

  10. The Impact of a Hybrid Sport Education-Invasion Games Competence Model Soccer Unit on Students' Decision Making, Skill Execution and Overall Game Performance

    Science.gov (United States)

    Mesquita, Isabel; Farias, Claudio; Hastie, Peter

    2012-01-01

    The purpose of this study was to examine the impact of a hybrid Sport Education-Invasion Games Competence Model (SE-IGCM) unit application on students' improvements in decision making, skill execution and overall game performance, during a soccer season. Twenty-six fifth-grade students from a Portuguese public elementary school participated in a…

  11. Improved engine wall models for Large Eddy Simulation (LES)

    Science.gov (United States)

    Plengsaard, Chalearmpol

    Improved wall models for Large Eddy Simulation (LES) are presented in this research. The classical Werner-Wengle (WW) wall shear stress model is used along with near-wall sub-grid scale viscosity. A sub-grid scale turbulent kinetic energy is employed in a model for the eddy viscosity. To gain better heat flux results, a modified classical variable-density wall heat transfer model is also used. Because no experimental wall shear stress results are available in engines, the fully turbulent developed flow in a square duct is chosen to validate the new wall models. The model constants in the new wall models are set to 0.01 and 0.8, respectively and are kept constant throughout the investigation. The resulting time- and spatially-averaged velocity and temperature wall functions from the new wall models match well with the law-of-the-wall experimental data at Re = 50,000. In order to study the effect of hot air impinging walls, jet impingement on a flat plate is also tested with the new wall models. The jet Reynolds number is equal to 21,000 and a fixed jet-to-plate spacing of H/D = 2.0. As predicted by the new wall models, the time-averaged skin friction coefficient agrees well with experimental data, while the computed Nusselt number agrees fairly well when r/D > 2.0. Additionally, the model is validated using experimental data from a Caterpillar engine operated with conventional diesel combustion. Sixteen different operating engine conditions are simulated. The majority of the predicted heat flux results from each thermocouple location follow similar trends when compared with experimental data. The magnitude of peak heat fluxes as predicted by the new wall models is in the range of typical measured values in diesel combustion, while most heat flux results from previous LES wall models are over-predicted. The new wall models generate more accurate predictions and agree better with experimental data.

  12. Thermal Modeling Method Improvements for SAGE III on ISS

    Science.gov (United States)

    Liles, Kaitlin; Amundsen, Ruth; Davis, Warren; McLeod, Shawn

    2015-01-01

    The Stratospheric Aerosol and Gas Experiment III (SAGE III) instrument is the fifth in a series of instruments developed for monitoring aerosols and gaseous constituents in the stratosphere and troposphere. SAGE III will be delivered to the International Space Station (ISS) via the SpaceX Dragon vehicle. A detailed thermal model of the SAGE III payload, which consists of multiple subsystems, has been developed in Thermal Desktop (TD). Many innovative analysis methods have been used in developing this model; these will be described in the paper. This paper builds on a paper presented at TFAWS 2013, which described some of the initial developments of efficient methods for SAGE III. The current paper describes additional improvements that have been made since that time. To expedite the correlation of the model to thermal vacuum (TVAC) testing, the chambers and GSE for both TVAC chambers at Langley used to test the payload were incorporated within the thermal model. This allowed the runs of TVAC predictions and correlations to be run within the flight model, thus eliminating the need for separate models for TVAC. In one TVAC test, radiant lamps were used which necessitated shooting rays from the lamps, and running in both solar and IR wavebands. A new Dragon model was incorporated which entailed a change in orientation; that change was made using an assembly, so that any potential additional new Dragon orbits could be added in the future without modification of the model. The Earth orbit parameters such as albedo and Earth infrared flux were incorporated as time-varying values that change over the course of the orbit; despite being required in one of the ISS documents, this had not been done before by any previous payload. All parameters such as initial temperature, heater voltage, and location of the payload are defined based on the case definition. For one component, testing was performed in both air and vacuum; incorporating the air convection in a submodel that was

  13. Changes in Instructional System Design (ISD): Improving Training Product Delivery to United States Army Soldiers

    Science.gov (United States)

    2005-03-18

    Ulcers Tumors Gastritis Diseases Digestion Role of Teeth in Digestion Digestion in Mouth Role of Tongue in Digestion Role of Saliva Glands in...Design and the Addie Model e-Learning Guru.com,” 2003; available from <http://www.e-learningguru.com/ articles /art2_1.htm. P.2>; Internet; accessed 4...Model. e-Learning Guru.com,” 2003. Available from <http://www.e-learningguru.com/ articles /art2_1.htm>. Internet. Accessed 4 December 2004. Lakein

  14. Growth units model of anion coordination-polyhedra and its application to crystal growth

    Institute of Scientific and Technical Information of China (English)

    ZHANG Xuehua; LUO Haosu; ZHONG Weizhuo

    2004-01-01

    Growth units model of anion coordination-polyhedra ACP model emphasizes the influence of intrinsic structure of crstal upon the crystal growth and the importance of the external conditions on which crystals grow. The ACP model is used to analyze some problems in crystal growth, such as the formation of dendrite in the crystal structure,growth habit of polar crystal, and formation of allomerism and polymorphism.

  15. A hierarchical Bayesian model for regionalized seasonal forecasts: Application to low flows in the northeastern United States

    Science.gov (United States)

    Ahn, Kuk-Hyun; Palmer, Richard; Steinschneider, Scott

    2017-01-01

    This study presents a regional, probabilistic framework for seasonal forecasts of extreme low summer flows in the northeastern United States conditioned on antecedent climate and hydrologic conditions. The model is developed to explore three innovations in hierarchical modeling for seasonal forecasting at ungaged sites: (1) predictive climate teleconnections are inferred directly from ocean fields instead of predefined climate indices, (2) a parsimonious modeling structure is introduced to allow climate teleconnections to vary spatially across streamflow gages, and (3) climate teleconnections and antecedent hydrologic conditions are considered jointly for regional forecast development. The proposed model is developed and calibrated in a hierarchical Bayesian framework to pool regional information across sites and enhance regionalization skill. The model is validated in a cross-validation framework along with five simpler nested formulations to test specific hypotheses embedded in the full model structure. Results indicate that each of the three innovations improve out-of-sample summer low-flow forecasts, with the greatest benefits derived from the spatially heterogeneous effect of climate teleconnections. We conclude with a discussion of possible model improvements from a better representation of antecedent hydrologic conditions at ungaged sites.

  16. Improved Sustainability through Novel Water Management Strategies for Strawberry Transplant Establishment in Florida, United States

    Directory of Open Access Journals (Sweden)

    Emmanuel A. Torres-Quezada

    2012-12-01

    Full Text Available Establishing bare-root transplants in Florida, United States, is an inefficient water-consuming activity. Between 3500 and 5500 m3/ha are applied with sprinkler irrigation to lower temperatures around the transplant crown and aid early root development, but more than 97% of the water volume runs off the polyethylene-covered beds. Research has been conducted to evaluate the feasibility of producing containerized (plug short-day cultivar transplants under Florida conditions, the effect of continuous and intermittent low-volume sprinklers on transplant establishment and the use of kaolin clay to reduce stress on young transplants. Research results demonstrated that growers may have alternatives to reduce water use and pumping costs during strawberry transplant establishment by the following: (a plug transplants can be produced from mother plants from Florida’s subtropical weather without chilling conditioning and still be competitive in the winter market; (b using continuous and intermittent low-volume sprinkler irrigation saves between 16% and 33% of the water volumes for strawberry establishment; and (c using kaolin clay showed to be a low-cost (US$63/ha plus application costs investment to reduce irrigation volumes by at least 30%.

  17. Influential motivational variables in a teaching unit of rugby: the key to improving the educational intervention

    Directory of Open Access Journals (Sweden)

    Angel Abós Catalán

    2015-05-01

    Full Text Available Physical inactivity is one of the most important problems that affect to our society due to the lack of student motivation in some school contents. The objective of this study was to study the relationship between motivational climate created by the Physical Education teacher in a teaching unit of rugby and basic psychological needs, self-determined motivation and affective consequences experienced by students. A total of 77 students (M age = 15.35, SD = 0.53 of an educational institution, belonging to 4th year Secondary Education, completed the following questionnaires: Perceived of Motivational Climate Scale (EPCM, Basic Psychological Needs in Excersice Scale (BPNES, Situational Motivation Scale (SIMS-14 and the Scale of Entertainment / Boredom in Physical Education (SSI-EF. The results showed that task climate predicted positively and significantly the three basic psychological needs and self-determined forms of motivation, while the ego climate predicted amotivation. In turn, the three basic psychological needs predicted positively intrinsic motivation, while the amotivation was negatively predicted by perceived competence and social relationships. Also, it was found a positive prediction between intrinsic motivation and enjoyment, and negatively with respect to boredom, which was also predicted by amotivation. The results suggest the idea that Physical Education teachers should create a task climate, favoring the satisfaction of the psychological mediators and developing a more self-determined motivation which could trigger affective consequences like enjoyment. 

  18. Improved characterization of local seismicity using the Dubai Seismic Network, United Arab Emirates

    Science.gov (United States)

    Al Khatibi, Eman; Abou Elenean, K. M.; Megahed, A. S.; El-Hussain, I.

    2014-08-01

    In April 2006, Dubai Municipality established a broadband seismological network in Dubai Emirate, United Arab Emirates (UAE). This network was the first seismic network in UAE and consists of four remote seismic stations to observe local and regional seismic activity that may have an effect on Dubai Emirate and the surrounding areas. The network exchanges real-time data with the National Center of Meteorology and Seismology in Abu Dhabi, the Earthquake Monitoring Center in Oman and imports in real-time data from few Global Seismic Network stations, which increases the aperture of the network. In April 2012, Dubai Municipality installed an additional five free-field strong motion stations inside the urban area to estimate and publish real-time ShakeMaps for public and decision makers. Although the local seismic activity from April 2006 to June 2013 reflects low seismic activity with the Emirate, it indicates active tectonics in the relatively aseismic northern Oman Mountains region. A few inland clusters of micro-to-small earthquakes have been identified with the new network. A clear cluster of small-to-moderate earthquakes took place in the eastern part of UAE to the east of Masafi, while two clusters of micro-to-small earthquakes took place at Wadi Nazwa and northern Huwaylat. Focal mechanisms of few well recorded earthquakes in this region indicate normal faulting, generally trending NE in parallel to the transition shear zone between the collision at Zagros and the subduction at the Makran zone.

  19. Improved Outcome of Severe Acute Pancreatitis in the Intensive Care Unit

    Directory of Open Access Journals (Sweden)

    Polychronis Pavlidis

    2013-01-01

    Full Text Available Background. Severe acute pancreatitis (SAP is associated with serious morbidity and mortality. Our objective was to describe the case mix, management, and outcome of patients with SAP receiving modern critical care in the Intensive Care Unit (ICU. Methods. Retrospective analysis of patients with SAP admitted to the ICU in a single tertiary care centre in the UK between January 2005 and December 2010. Results. Fifty SAP patients were admitted to ICU (62% male, mean age 51.7 (SD 14.8. The most common aetiologies were alcohol (40% and gallstones (30%. On admission to ICU, the median Acute Physiology and Chronic Health Evaluation (APACHE II score was 17, the pancreatitis outcome prediction score was 8, and the median Computed Tomography Severity Index (CTSI was 4. Forty patients (80% tolerated enteral nutrition, and 46% received antibiotics for non-SAP reasons. Acute kidney injury was significantly more common among hospital nonsurvivors compared to survivors (100% versus 42%, . ICU mortality and hospital mortality were 16% and 20%, respectively, and median lengths of stay in ICU and hospital were 13.5 and 30 days, respectively. Among hospital survivors, 27.5% developed diabetes mellitus and 5% needed long-term renal replacement therapy. Conclusions. The outcome of patients with SAP in ICU was better than previously reported but associated with a resource demanding hospital stay and long-term morbidity.

  20. Adapting the iSNOBAL model for improved visualization in a GIS environment

    Science.gov (United States)

    Johansen, W. J.; Delparte, D.

    2014-12-01

    Snowmelt is a primary means of crucial water resources in much of the western United States. Researchers are developing models that estimate snowmelt to aid in water resource management. One such model is the image snowcover energy and mass balance (iSNOBAL) model. It uses input climate grids to simulate the development and melting of snowpack in mountainous regions. This study looks at applying this model to the Reynolds Creek Experimental Watershed in southwestern Idaho, utilizing novel approaches incorporating geographic information systems (GIS). To improve visualization of the iSNOBAL model, we have adapted it to run in a GIS environment. This type of environment is suited to both the input grid creation and the visualization of results. The data used for input grid creation can be stored locally or on a web-server. Kriging interpolation embedded within Python scripts are used to create air temperature, soil temperature, humidity, and precipitation grids, while built-in GIS and existing tools are used to create solar radiation and wind grids. Additional Python scripting is then used to perform model calculations. The final product is a user-friendly and accessible version of the iSNOBAL model, including the ability to easily visualize and interact with model results, all within a web- or desktop-based GIS environment. This environment allows for interactive manipulation of model parameters and visualization of the resulting input grids for the model calculations. Future work is moving towards adapting the model further for use in a 3D gaming engine for improved visualization and interaction.