WorldWideScience

Sample records for box model training

  1. Does box model training improve surgical dexterity and economy of movement during virtual reality laparoscopy? A randomised trial

    DEFF Research Database (Denmark)

    Clevin, L.; Grantcharov, T.P.

    2008-01-01

    OBJECTIVE: Laparoscopic box model trainers have been used in training curricula for a long time, however data on their impact on skills acquisition is still limited. Our aim was to validate a low cost box model trainer as a tool for the training of skills relevant to laparoscopic surgery. DESIGN:...

  2. PHOTOCHEMICAL BOX MODEL (PBM)

    Science.gov (United States)

    This magnetic tape contains the FORTRAN source code, sample input data, and sample output data for the Photochemical Box Model (PBM). The PBM is a simple stationary single-cell model with a variable height lid designed to provide volume-integrated hour averages of O3 and other ph...

  3. Model Equations: "Black Box" Reconstruction

    Science.gov (United States)

    Bezruchko, Boris P.; Smirnov, Dmitry A.

    Black box reconstruction is both the most difficult and the most tempting modelling problem when any prior information about an appropriate model structure is lacking. An intriguing thing is that a model capable of reproducing an observed behaviour or predicting further evolution should be obtained only from an observed time series, i.e. "from nothing" at first sight. Chances for a success are not large. Even more so, a "good" model would become a valuable tool to characterise an object and understand its dynamics. Lack of prior information causes one to utilise universal model structures, e.g. artificial neural networks, radial basis functions and algebraic polynomials are included in the right-hand sides of dynamical model equations. Such models are often multi-dimensional and involve quite many free parameters.

  4. Comparison of Laparoscopy Training Using the Box Trainer Versus the Virtual Trainer

    OpenAIRE

    Mohammadi, Yousef; Lerner, Michelle A.; Sethi, Amanjot S.; Sundaram, Chandru P.

    2010-01-01

    Background and Objectives: To evaluate whether training on a virtual reality laparoscopic simulator improves the performance on a laparoscopic box trainer. Methods: Twenty-six subjects were trained using a box trainer, and 17 participants were trained using a virtual simulator. Participants in the experimental group completed 1 session of 5 exercises on the box trainer, 4 sessions on the virtual simulator, and a final session on the box trainer. Participants in the control group completed 6 s...

  5. Grey Box Modelling of Hydrological Systems

    DEFF Research Database (Denmark)

    Thordarson, Fannar Ørn

    intervals. The thesis illustrates three performance measures for this performance evaluations: reliability, sharpness and resolution. For decision making, a performance criterion is preferred that quantifies all of these measures in a single number, and for that the quantile skill score criterion is...... equations, and a black box model, which relates to models that are obtained statistically from input-output relations. Grey box model consists of a system description, defined by a finite set of stochastic differential equations, and an observation equation. Together, system and observation equations...... lack of fit in state space formulation, and further support decisions for a model expansion. By using stochastic differential equations to formulate the dynamics of the hydrological system, either the complexity of the model can be increased by including the necessary hydrological processes in the...

  6. Physical Modeling Modular Boxes: PHOXES

    DEFF Research Database (Denmark)

    Gelineck, Steven; Serafin, Stefania

    2010-01-01

    This paper presents the development of a set of musical instruments, which are based on known physical modeling sound synthesis techniques. The instruments are modular, meaning that they can be combined in various ways. This makes it possible to experiment with physical interaction and sonic...

  7. Grey-box modelling of pharmacokinetic/pharmacodynamic systems

    DEFF Research Database (Denmark)

    Tornøe, Christoffer Wenzel; Jacobsen, Judith L; Pedersen, Oluf;

    2004-01-01

    Grey-box pharmacokinetic/pharmacodynamic (PK/PD) modelling is presented as a promising way of modelling PK/PD systems. The concept behind grey-box modelling is based on combining physiological knowledge along with information from data in the estimation of model parameters. Grey-box modelling...

  8. Post-training vasopressin injections may facilitate or delay shuttle-box avoidance extinction

    NARCIS (Netherlands)

    Hagan, J.J.; Bohus, B.; Wied, D. de

    1982-01-01

    After training to avoid footshock in a two-way shuttle box rats were injected with lysine vasopressin (LVP) and returned to the shuttle box 24 hr later for 10 extinction trials. Experiment 1 shows that when injected 30 min after training subsequent extinction responding varied as an inverted “U”-sha

  9. Box model for channels of human migration

    CERN Document Server

    Vitanov, Nikolay K

    2016-01-01

    We discuss a mathematical model of migration channel based on the truncated Waring distribution. The truncated Waring distribution is obtained for a more general model of motion of substance through a channel containing finite number of boxes. The model is applied then for case of migrants moving through a channel consisting of finite number of countries or cities. The number of migrants in the channel strongly depends on the number of migrants that enter the channel through the country of entrance. It is shown that if the final destination country is very popular then large percentage of migrants may concentrate there.

  10. Software sensors based on the grey-box modelling approach

    DEFF Research Database (Denmark)

    Carstensen, J.; Harremoës, P.; Strube, Rune

    1996-01-01

    In recent years the grey-box modelling approach has been applied to wastewater transportation and treatment Grey-box models are characterized by the combination of deterministic and stochastic terms to form a model where all the parameters are statistically identifiable from the on......-box model for the specific dynamics is identified. Similarly, an on-line software sensor for detecting the occurrence of backwater phenomena can be developed by comparing the dynamics of a flow measurement with a nearby level measurement. For treatment plants it is found that grey-box models applied to on......-line measurements. With respect to the development of software sensors, the grey-box models possess two important features. Firstly, the on-line measurements can be filtered according to the grey-box model in order to remove noise deriving from the measuring equipment and controlling devices. Secondly, the grey...

  11. Cash Flow Prediction Using a Grey-Box Model

    OpenAIRE

    Pang, Yang; Opong, Kwaku; Moutinho, Luia; Li, Yun

    2015-01-01

    This paper tackles the problem of financial forecasting by extending methods developed in automation, engineering and computing science. Current methods existing in the literature for firm-level cash flows are first analysed. Then a grey-box modelling method is developed to elevate the performance of cash-flow prediction. Linear panel data modelling is used as a benchmark model. Experiments with out-of-sample tests are used to validate the grey-box approach. Encouragingly, nonlinear grey-box ...

  12. Post-training vasopressin injections may facilitate or delay shuttle-box avoidance extinction

    OpenAIRE

    Hagan, J J; Bohus, B; Wied, D. de

    1982-01-01

    After training to avoid footshock in a two-way shuttle box rats were injected with lysine vasopressin (LVP) and returned to the shuttle box 24 hr later for 10 extinction trials. Experiment 1 shows that when injected 30 min after training subsequent extinction responding varied as an inverted “U”-shaped function of the LVP dose within the range tested (0.036 to 2.97 μg/rat). Responding was increased with 0.11 μg/rat whereas 2.97 μg/rat reduced responding. Experiment 2 shows that these two dose...

  13. Gray-box modelling approach for description of storage tunnel

    DEFF Research Database (Denmark)

    Harremoës, Poul; Carstensen, Jacob

    1999-01-01

    The dynamics of a storage tunnel is examined using a model based on on-line measured data and a combination of simple deterministic and black-box stochastic elements. This approach, called gray-box modeling, is a new promising methodology for giving an on-line state description of sewer systems. ...... and implemented in a SCADA system because the most important information on the specific system is provided on-line......The dynamics of a storage tunnel is examined using a model based on on-line measured data and a combination of simple deterministic and black-box stochastic elements. This approach, called gray-box modeling, is a new promising methodology for giving an on-line state description of sewer systems...

  14. Probability boxes on totally preordered spaces for multivariate modelling

    CERN Document Server

    Troffaes, Matthias C M; 10.1016/j.ijar.2011.02.001

    2011-01-01

    A pair of lower and upper cumulative distribution functions, also called probability box or p-box, is among the most popular models used in imprecise probability theory. They arise naturally in expert elicitation, for instance in cases where bounds are specified on the quantiles of a random variable, or when quantiles are specified only at a finite number of points. Many practical and formal results concerning p-boxes already exist in the literature. In this paper, we provide new efficient tools to construct multivariate p-boxes and develop algorithms to draw inferences from them. For this purpose, we formalise and extend the theory of p-boxes using Walley's behavioural theory of imprecise probabilities, and heavily rely on its notion of natural extension and existing results about independence modeling. In particular, we allow p-boxes to be defined on arbitrary totally preordered spaces, hence thereby also admitting multivariate p-boxes via probability bounds over any collection of nested sets. We focus on t...

  15. A Grey Box Model for the Hydraulics in a Creek

    DEFF Research Database (Denmark)

    Jonsdottir, Harpa; Jacobsen, Judith L.; Madsen, Henrik

    1998-01-01

    The Saint-Venant equation of mass balance is used to derive a stochastics lumped model, describing the dynamics of a cross-sectional area in a river. The unknown parameters of the model are estimated by combining the physical equation with a set of data, a method known as grey box modelling. The ...

  16. Inferring 3D Articulated Models for Box Packaging Robot

    CERN Document Server

    Yang, Heran; Cong, Matthew; Saxena, Ashutosh

    2011-01-01

    Given a point cloud, we consider inferring kinematic models of 3D articulated objects such as boxes for the purpose of manipulating them. While previous work has shown how to extract a planar kinematic model (often represented as a linear chain), such planar models do not apply to 3D objects that are composed of segments often linked to the other segments in cyclic configurations. We present an approach for building a model that captures the relation between the input point cloud features and the object segment as well as the relation between the neighboring object segments. We use a conditional random field that allows us to model the dependencies between different segments of the object. We test our approach on inferring the kinematic structure from partial and noisy point cloud data for a wide variety of boxes including cake boxes, pizza boxes, and cardboard cartons of several sizes. The inferred structure enables our robot to successfully close these boxes by manipulating the flaps.

  17. Gray-box modelling approach for description of storage tunnel

    DEFF Research Database (Denmark)

    Harremoës, Poul; Carstensen, Jacob

    1999-01-01

    The dynamics of a storage tunnel is examined using a model based on on-line measured data and a combination of simple deterministic and black-box stochastic elements. This approach, called gray-box modeling, is a new promising methodology for giving an on-line state description of sewer systems...... inertia of the water in the overflow structures. The capacity of a pump draining the storage tunnel is estimated for two different rain events, revealing that the pump was malfunctioning during the first rain event. The proposed modeling approach can be used in automated online surveillance and control...

  18. Dairy Tool Box Talks: A Comprehensive Worker Training in Dairy Farming.

    Science.gov (United States)

    Rovai, Maristela; Carroll, Heidi; Foos, Rebecca; Erickson, Tracey; Garcia, Alvaro

    2016-01-01

    Today's dairies are growing rapidly, with increasing dependence on Latino immigrant workers. This requires new educational strategies for improving milk quality and introduction to state-of-the-art dairy farming practices. It also creates knowledge gaps pertaining to the health of animals and workers, mainly due to the lack of time and language barriers. Owners, managers, and herdsmen assign training duties to more experienced employees, which may not promote "best practices" and may perpetuate bad habits. A comprehensive and periodic training program administered by qualified personnel is currently needed and will enhance the sustainability of the dairy industry. Strategic management and employee satisfaction will be achieved through proper training in the employee's language, typically Spanish. The training needs to address not only current industry standards but also social and cultural differences. An innovative training course was developed following the same structure used by the engineering and construction industries, giving farm workers basic understanding of animal care and handling, cow comfort, and personal safety. The "Dairy Tool Box Talks" program was conducted over a 10-week period with nine sessions according to farm's various employee work shifts. Bulk milk bacterial counts and somatic cell counts were used to evaluate milk quality on the three dairy farms participating in the program. "Dairy Tool Box Talks" resulted in a general sense of employee satisfaction, significant learning outcomes, and enthusiasm about the topics covered. We conclude this article by highlighting the importance of educational programs aimed at improving overall cross-cultural training. PMID:27471726

  19. Boxed skew plane partition and integrable phase model

    International Nuclear Information System (INIS)

    We study the relation between the boxed skew plane partition and the integrable phase model. We introduce a generalization of a scalar product of the phase model and calculate it in two ways: the first one in terms of the skew Schur functions, and the other one by use of the commutation relations of operators. In both cases, a generalized scalar product is expressed as a determinant. We show that a special choice of the spectral parameters of a generalized scalar product gives the generating function of the boxed skew plane partition

  20. Simball Box for Laparoscopic Training With Advanced 4D Motion Analysis of Skills.

    Science.gov (United States)

    Hagelsteen, Kristine; Sevonius, Dan; Bergenfelz, Anders; Ekelund, Mikael

    2016-06-01

    Background Laparoscopic skills training and evaluation outside the operating room is important for all surgeons learning new skills. To study feasibility, a video box trainer tracking 4-dimensional (4D) metrics was evaluated as a laparoscopic training tool. Method Simball Box is a video box trainer with authentic surgical instruments and camera with video recording, equipped with 4D motion analysis registered through trocars using machine vision technology. Residents attending a 3-day laparoscopy course were evaluated performing a laparoscopic surgical knot at start, middle, and end. Metrics were obtained. Feedback data were presented in reference to expert/tutorial performance. Results Ten right-handed residents were included. Median time (range) to finish the task was 359 (253-418), 129 (95-166), and 95 (52-156) seconds; 655%, 236%, and 174% of tutorial performance, with significance pre-/midcourse (P distance in radians (range) was 150 (87-251), 65 (42-116), and 50 (33-136) with significance pre-/midcourse (P = .022) and pre-/postcourse (P = .0002). Right-handed average speed (cm/s) increased: 1.94 (1.11-2.27) pre-, 2.39 (1.56-2.83) mid-, 2.60 (1.67-3.19) postcourse with significance pre-/midcourse (P = .022) and pre-/postcourse (P = .002). Average acceleration (mm/s(2)) and motion smoothness (µm/s(3)) failed to show any difference. Conclusion For laparoscopic training and as a promising evaluation device, Simball Box obtained metrics mirroring progression well. PMID:26857834

  1. A tool box for implementing supersymmetric models

    CERN Document Server

    Staub, Florian; Porod, Werner; Speckner, Christian

    2011-01-01

    We present a framework for performing a comprehensive analysis of a large class of supersymmetric models, including spectrum calculation, dark matter studies and collider phenomenology. To this end, the respective model is defined in an easy and straightforward way using the \\Mathematica package SARAH. SARAH then generates model files for CalcHep which can be used with MicrOmegas as well as model files for WHIZARD and OMEGA. In addition, Fortran source code for SPheno is created which facilitates the determination of the particle spectrum using two-loop renormalization group equations and one-loop corrections to the masses. As an additional feature, the generated SPheno code can write out input files suitable for use with HiggsBounds to apply bounds coming from the Higgs searches to the model. Combining all program provides a closed chain from model building to phenomenology.

  2. A tool box for implementing supersymmetric models

    Science.gov (United States)

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

    2012-10-01

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

  3. Dairy Tool Box Talks: A Comprehensive Worker Training in Dairy Farming

    Science.gov (United States)

    Rovai, Maristela; Carroll, Heidi; Foos, Rebecca; Erickson, Tracey; Garcia, Alvaro

    2016-01-01

    Today’s dairies are growing rapidly, with increasing dependence on Latino immigrant workers. This requires new educational strategies for improving milk quality and introduction to state-of-the-art dairy farming practices. It also creates knowledge gaps pertaining to the health of animals and workers, mainly due to the lack of time and language barriers. Owners, managers, and herdsmen assign training duties to more experienced employees, which may not promote “best practices” and may perpetuate bad habits. A comprehensive and periodic training program administered by qualified personnel is currently needed and will enhance the sustainability of the dairy industry. Strategic management and employee satisfaction will be achieved through proper training in the employee’s language, typically Spanish. The training needs to address not only current industry standards but also social and cultural differences. An innovative training course was developed following the same structure used by the engineering and construction industries, giving farm workers basic understanding of animal care and handling, cow comfort, and personal safety. The “Dairy Tool Box Talks” program was conducted over a 10-week period with nine sessions according to farm’s various employee work shifts. Bulk milk bacterial counts and somatic cell counts were used to evaluate milk quality on the three dairy farms participating in the program. “Dairy Tool Box Talks” resulted in a general sense of employee satisfaction, significant learning outcomes, and enthusiasm about the topics covered. We conclude this article by highlighting the importance of educational programs aimed at improving overall cross-cultural training. PMID:27471726

  4. Gray-Box Modeling of a Pneumatic Servo-Valve

    OpenAIRE

    Mojtaba Aghamirsalim; Hosein Farahmandzad; Farhad Toorani

    2010-01-01

    This paper presents the evaluation as well as the combined analytical andexperimental identification (gray box identification) of a servo-valve torque motor as thedirectional valve applied in a pneumatic actuator. Based on analytical modelling, a simplelinear parametric model with transfer function and block diagram is developed. Next, thestatic and dynamic characteristics of the torque motor are obtained from experimentalobservations. The characteristics confirm the desired linear behaviour ...

  5. Observational semantics of the Prolog Resolution Box Model

    CERN Document Server

    Deransart, Pierre; Ferrand, Gérard

    2007-01-01

    This paper specifies an observational semantics and gives an original presentation of the Byrd box model. The approach accounts for the semantics of Prolog tracers independently of a particular Prolog implementation. Prolog traces are, in general, considered as rather obscure and difficult to use. The proposed formal presentation of its trace constitutes a simple and pedagogical approach for teaching Prolog or for implementing Prolog tracers. It is a form of declarative specification for the tracers. The trace model introduced here is only one example to illustrate general problems relating to tracers and observing processes. Observing processes know, from observed processes, only their traces. The issue is then to be able to reconstitute, by the sole analysis of the trace, part of the behaviour of the observed process, and if possible, without any loss of information. As a matter of fact, our approach highlights qualities of the Prolog resolution box model which made its success, but also its insufficiencies...

  6. POD Model Reconstruction for Gray-Box Fault Detection

    Science.gov (United States)

    Park, Han; Zak, Michail

    2007-01-01

    Proper orthogonal decomposition (POD) is the mathematical basis of a method of constructing low-order mathematical models for the "gray-box" fault-detection algorithm that is a component of a diagnostic system known as beacon-based exception analysis for multi-missions (BEAM). POD has been successfully applied in reducing computational complexity by generating simple models that can be used for control and simulation for complex systems such as fluid flows. In the present application to BEAM, POD brings the same benefits to automated diagnosis. BEAM is a method of real-time or offline, automated diagnosis of a complex dynamic system.The gray-box approach makes it possible to utilize incomplete or approximate knowledge of the dynamics of the system that one seeks to diagnose. In the gray-box approach, a deterministic model of the system is used to filter a time series of system sensor data to remove the deterministic components of the time series from further examination. What is left after the filtering operation is a time series of residual quantities that represent the unknown (or at least unmodeled) aspects of the behavior of the system. Stochastic modeling techniques are then applied to the residual time series. The procedure for detecting abnormal behavior of the system then becomes one of looking for statistical differences between the residual time series and the predictions of the stochastic model.

  7. A white-box model of S-shaped and double S-shaped single-species population growth

    OpenAIRE

    Kalmykov, Lev V.; Vyacheslav L. Kalmykov

    2015-01-01

    Complex systems may be mechanistically modelled by white-box modeling with using logical deterministic individual-based cellular automata. Mathematical models of complex systems are of three types: black-box (phenomenological), white-box (mechanistic, based on the first principles) and grey-box (mixtures of phenomenological and mechanistic models). Most basic ecological models are of black-box type, including Malthusian, Verhulst, Lotka–Volterra models. In black-box models, the individual-bas...

  8. COMPUTER MODEL AND SIMULATION OF A GLOVE BOX PROCESS

    Energy Technology Data Exchange (ETDEWEB)

    C. FOSTER; ET AL

    2001-01-01

    The development of facilities to deal with the disposition of nuclear materials at an acceptable level of Occupational Radiation Exposure (ORE) is a significant issue facing the nuclear community. One solution is to minimize the worker's exposure though the use of automated systems. However, the adoption of automated systems for these tasks is hampered by the challenging requirements that these systems must meet in order to be cost effective solutions in the hazardous nuclear materials processing environment. Retrofitting current glove box technologies with automation systems represents potential near-term technology that can be applied to reduce worker ORE associated with work in nuclear materials processing facilities. Successful deployment of automation systems for these applications requires the development of testing and deployment strategies to ensure the highest level of safety and effectiveness. Historically, safety tests are conducted with glove box mock-ups around the finished design. This late detection of problems leads to expensive redesigns and costly deployment delays. With wide spread availability of computers and cost effective simulation software it is possible to discover and fix problems early in the design stages. Computer simulators can easily create a complete model of the system allowing a safe medium for testing potential failures and design shortcomings. The majority of design specification is now done on computer and moving that information to a model is relatively straightforward. With a complete model and results from a Failure Mode Effect Analysis (FMEA), redesigns can be worked early. Additional issues such as user accessibility, component replacement, and alignment problems can be tackled early in the virtual environment provided by computer simulation. In this case, a commercial simulation package is used to simulate a lathe process operation at the Los Alamos National Laboratory (LANL). The Lathe process operation is

  9. Experimental Grey Box Model Identification of an Active Gas Bearing

    DEFF Research Database (Denmark)

    Theisen, Lukas Roy Svane; Pierart Vásquez, Fabián Gonzalo; Niemann, Hans Henrik;

    2014-01-01

    Gas bearings have inherent dynamics that gives rise to low damping and potential instability at certain rotational speeds. Required damping and stabilization properties can be achieved by active ow control if bearing parameters are known. This paper deals with identifacation of parameters in a...... dynamic model of an active gas bearing and subsequent control loop design. A grey box model is determined based on experiments where piezo actuated valves are used to perturb the journal and hence excite the rotor-bearing system. Such modelling from actuator to output is shown to effciently support...... controller design, in contrast to impact models that focus on resonance dynamics. The identified model is able to accurately reproduce the lateral dynamics of the rotor-bearing system in a desired operating range, in this case around the first two natural frequencies. The identified models are validated and...

  10. Thermohaline circulation stability: a box model study - Part I: uncoupled model

    CERN Document Server

    Lucarini, V; Lucarini, Valerio; Stone, Peter H.

    2004-01-01

    A thorough analysis of the stability of the uncoupled Rooth interhemispheric 3-box model of thermohaline circulation (THC) is presented. The model consists of a northern high latitudes box, a tropical box, and a southern high latitudes box, which respectively correspond to the northern, tropical and southern Atlantic ocean. We adopt restoring boundary conditions for the temperature variables and flux boundary conditions for the salinity variables. We study how the strength of THC changes when the system undergoes forcings that are analogous to those of global warming conditions by applying to the equilibrium state perturbations to the moisture and heat fluxes into the three boxes. In each class of experiments, we determine, using suitably de- fined metrics, the boundary dividing the set of forcing scenarios that lead the system to equilibria characterized by a THC pattern similar to the present one, from those that drive the system to equilibria with a reversed THC. Fast increases in the moisture flux into th...

  11. The approximate scaling law of the cochlea box model.

    Science.gov (United States)

    Vetesník, A; Nobili, R

    2006-12-01

    The hydrodynamic box-model of the cochlea is reconsidered here for the primary purpose of studying in detail the approximate scaling law that governs tonotopic responses in the frequency domain. "Scaling law" here means that any two solutions representing waveforms elicited by tones of equal amplitudes differ only by a complex factor depending on frequency. It is shown that this property holds with excellent approximation almost all along the basilar membrane (BM) length, with the exception of a small region adjacent to the BM base. The analytical expression of the approximate law is explicitly given and compared to numerical solutions carried out on a virtually exact implementation of the model. It differs significantly from that derived by Sondhi in 1978, which suffers from an inaccuracy in the hyperbolic approximation of the exact Green's function. Since the cochleae of mammals do not exhibit the scaling properties of the box model, the subject presented here may appear to be just an academic exercise. The results of our study, however, are significant in that a more general scaling law should hold for real cochleae. To support this hypothesis, an argument related to the problem of cochlear amplifier-gain stabilization is advanced. PMID:17008036

  12. High intensity training and energy production during 90-second box jump in junior alpine skiers.

    Science.gov (United States)

    Gross, Micah; Hemund, Kevin; Vogt, Michael

    2014-06-01

    Alpine ski races can last up to 2.5 minutes and have very high metabolic demands. One limiting factor for performance is insufficient aerobic energy supply. We studied the effects of an 8-day interval training block on aerobic capacity (VO2max) and performance and physiology during the 90-second box jump test (BJ90), a maximal performance test employed to simulate the metabolic demands of alpine ski racing, in elite junior skiers. After 10 high-intensity interval training sessions, performed as cycling, running, or an obstacle course, VO2max increased in all subjects by 2.5 ± 1.9 ml · minute(-1) · kg(-1) (4.3 ± 3.2%), as did maximal blood lactate concentration in a graded cycling test (before: 11.7 ± 1.3 mmol · L(-1), after: 14.8 ± 1.8 mmol · L(-1), both parameters p ≤ 0.05). Performance (total jumps) and aerobic energy contribution (63.3 ± 2.8%) during the BJ90 did not increase as hypothesized; however, subjects altered their pacing strategy, which may have counteracted such an effect. Additionally, the present data support the practicality of the performance test used for mimicking the demands of alpine skiing. PMID:24276296

  13. Effect of image capture device on the accuracy of black-box printer models

    Science.gov (United States)

    Youn, Jason; Sun, Jian; Ju, Yanling; Kashti, Tamar; Frank, Tal; Kella, Dror; Fischer, Mani; Ulichney, Robert; Adams, Guy; Allebach, Jan

    2014-01-01

    In the process of electrophotograpic (EP) printing, the deposition of toner to the printer-addressable pixel is greatly influenced by the neighboring pixels of the digital halftone. To account for these effects, printer models can either be embedded in the halftoning algorithm, or used to predict the printed halftone image at the input to an algorithm that is used to assess print quality. Most recently,1 we developed a series of six new models to accurately account for local neighborhood effects and the influence of a 45 x 45 neighborhood of pixels on the central printer-addressable pixel. We refer to all these models as black-box models, since they are based solely on measuring what is on the printed page, and do not incorporate any information about the marking process itself. In this paper, we will compare black-box models developed with three different capture devices: an Epson Expression 10000XL (Epson America, Inc., Long Beach, CA, USA) flatbed scanner operated at 2400 dpi with an active field of view of 309.88 mm x 436.88 mm, a QEA PIAS-II (QEA, Inc., Billerica, MA, USA) camera with resolution 7663.4 dpi and a field of view of 2.4 mm x 3.2 mm, and Dr. CID, a 1:1 magnification 3.35 micron true resolution Dyson Relay lens-based 3 Mpixel USB CMOS imaging device2 with resolution 7946.8 dpi and a field of view of 4.91 mm 6.55 mm developed at Hewlett-Packard Laboratories { Bristol. Our target printer is an HP Indigo 5000 Digital Press (HP Indigo, Ness Ziona, Israel). In this paper, we will compare the accuracy of the black-box model predictions of print microstructure using models trained from images captured with these three devices.

  14. Analysis of Data on Xanthan Fermentation in Stationary Phase Using Black Box and Metabolic Network Models

    Institute of Scientific and Technical Information of China (English)

    马红武; 赵学明; 唐寅杰

    1999-01-01

    The xanthan fermentation data in the stationary phase was analyzed using the black box and the metabolic network models. The data consistency ls checked through the elemental balance in the black box model. In the metabolic network model, the metabolic flux distribution in the cell is calculated using the metabolic flux analysis method, then the maintenance coefficients is calculated.

  15. Gray-Box Modeling of a Pneumatic Servo-Valve

    Directory of Open Access Journals (Sweden)

    Mojtaba Aghamirsalim

    2010-12-01

    Full Text Available This paper presents the evaluation as well as the combined analytical andexperimental identification (gray box identification of a servo-valve torque motor as thedirectional valve applied in a pneumatic actuator. Based on analytical modelling, a simplelinear parametric model with transfer function and block diagram is developed. Next, thestatic and dynamic characteristics of the torque motor are obtained from experimentalobservations. The characteristics confirm the desired linear behaviour of the torque motor.Hence, linearized coefficients from a best curve fitting of static characteristics can bederived. Classical methods of identification are applied on the frequency and stepresponses obtained from a set of tests on the torque motor. Obtained tests results based onparsimony principle and model order of analytical investigations are then implemented toderive the best identified transfer function to describe the performance of the servo-valvetorque motor. Design parameters are estimated with the comparison of the experimentaland analytical models. These parameters can be implemented with acceptable accuracy forservo control studies of pneumatic actuators.

  16. Muscle activity and hand motion in veterinarians performing laparoscopic training tasks with a box trainer.

    Science.gov (United States)

    Tapia-Araya, Angelo E; Usón-Gargallo, Jesús; Sánchez-Margallo, Juan A; Pérez-Duarte, Francisco J; Martin-Portugués, Idoia Díaz-Güemes; Sánchez-Margallo, Francisco M

    2016-02-01

    OBJECTIVE To evaluate muscle activity and hand motion in veterinarians performing a standard set of laparoscopic training tasks. SAMPLE 12 veterinarians with experience performing laparoscopic procedures. PROCEDURES Participants were asked to perform peg transfer, coordination, precision cutting, and suturing tasks in a laparoscopic box trainer. Activity of the right biceps brachii, triceps brachii, forearm flexor, forearm extensor, and trapezius muscles was analyzed by means of surface electromyography. Right hand movements and wrist angle data were registered through the use of a data glove, and risk levels for the wrist joint were determined by use of a modified rapid upper limb assessment (RULA) method. One-way repeated-measures ANOVA with a Bonferroni post hoc test was performed to compare values between tasks. RESULTS Activity in the biceps muscle did not differ significantly among the 4 tasks. Activity in the triceps, forearm flexor, and forearm extensor muscles was significantly higher during precision cutting than during the coordination task. Activity in the trapezius muscle was highest during the suturing task and did not differ significantly among the other 3 tasks. The RULA score was unacceptable (score, 3) for the coordination, peg transfer, and precision cutting tasks but was acceptable (score, 2) for the suturing task. CONCLUSIONS AND CLINICAL RELEVANCE Results indicated that the ergonomics of laparoscopic training depended on the tasks performed and the design of the instruments used. Precision cutting and suturing tasks were associated with the highest muscle activity. Acceptable wrist position, as determined with the RULA method, was found with the suturing task, which was performed with an axial-handled instrument. (Am J Vet Res 2016;77:186-193). PMID:27027713

  17. 太阳日总辐射量的Box-Jenkins模型%BOX-JENKINS MODEL FOR DAILY SOLAR RADIATION

    Institute of Scientific and Technical Information of China (English)

    王敏; 丁明

    2012-01-01

    基于天文辐射和日照率数据,采用系统辨识的方法建立了模拟太阳日总辐射量的BJ( Box-Jenkins)模型.该模型与传统的(A)ngstr(m)的日总辐射量的计算公式相比,模拟和预测效果更好.%Based on astronomical radiation and percentage of possible sunshine data, the BJ (Box-Jenkins) model for daily solar irradiation is established using system identification method. The simulation and the one-step forecast results of the BJ model are better than Angstrm formula of the calculation.

  18. A box model of the Arctic natural variability

    Science.gov (United States)

    Ou, Hsien-Wang

    2013-04-01

    We consider a box model of the Arctic system to examine its natural variability pertaining to the decadal Arctic Oscillation (AO) and the multidecadal Low-Frequency Oscillation (LFO). We distinguish the hierarchical order of the winter over the summer open-areas with only the former perturbing the sea-level pressure to effect coupled balances. From such balances, we discern two feedback loops on the winter open-area: a positive ice-flux feedback that elevates its overall variance and a negative buoyancy feedback that suppresses its low-frequency variance to render a decadal AO peak when subjected to white atmospheric noise. This negative buoyancy feedback may also reproduce observed phasing among LFO signals forced by the AMV (Atlantic Multidecadal Variability), thus resolving some outstanding questions. For the summer open-area, its variance is induced mainly by the winter forcings and insensitive to the base state. Its decadal signal merely reflects the preconditioning winter open-area, but its LFO variance is induced additionally and in comparable measure by the winter SAT (surface air temperature) through the latter's effect on the melt duration and the first-year ice thickness. As such, the summer open-area signal is dominantly multidecadal, which moreover is several times its winter counterpart, consistent with the observed disparity. Although the model is extremely crude, its explicit solution allows quantitative comparison with observations and the generally positive outcome suggests that the model has isolated the essential physics of the Arctic natural variability of our concern.

  19. Economic analysis of open space box model utilization in spacecraft

    Science.gov (United States)

    Mohammad, Atif F.; Straub, Jeremy

    2015-05-01

    It is a known fact that the amount of data about space that is stored is getting larger on an everyday basis. However, the utilization of Big Data and related tools to perform ETL (Extract, Transform and Load) applications will soon be pervasive in the space sciences. We have entered in a crucial time where using Big Data can be the difference (for terrestrial applications) between organizations underperforming and outperforming their peers. The same is true for NASA and other space agencies, as well as for individual missions and the highly-competitive process of mission data analysis and publication. In most industries, conventional opponents and new candidates alike will influence data-driven approaches to revolutionize and capture the value of Big Data archives. The Open Space Box Model is poised to take the proverbial "giant leap", as it provides autonomic data processing and communications for spacecraft. We can find economic value generated from such use of data processing in our earthly organizations in every sector, such as healthcare, retail. We also can easily find retailers, performing research on Big Data, by utilizing sensors driven embedded data in products within their stores and warehouses to determine how these products are actually used in the real world.

  20. A Three-Box Model of Thermohaline Circulation under the Energy Constraint

    International Nuclear Information System (INIS)

    The driving mechanism of thermohaline circulation is still a controversial topic in physical oceanography. Classic theory is based on Stommel's two-box model under buoyancy constraint. Recently, Guan and Huang proposed a new viewpoint in the framework of energy constraint with a two-box model. We extend it to a three-box model, including the effect of wind-driven circulation. Using this simple model, we further study how ocean mixing impacts on thermohaline circulation under the energy constraint. (geophysics, astronomy, and astrophysics)

  1. Opening the black box: How staff training and development may affect the innovation of enterprises

    OpenAIRE

    Mate, Davide; Carpaneto, Alberto; Tirassa, Corrado; Brizio, Adelina; Rezzonico, Raffaele; Brassesco, Barbara; Surra, Fabio; Rabellino, Daniela; Tirassa, Maurizio

    2010-01-01

    We describe a research on the interplay that appears to exist in companies between Human Resource Management and innovation. This complex, multicomponent, non-linear and dynamic interplay is often viewed as a "black box". To help open the black box, we outline both a theoretical framework and preliminary empirical data. We view innovation as an organization-level property, favored by the organization's self-perception as a knowledge engine. Therefore, we devised a protocol to study the compan...

  2. Opening Pandora's Box: The impact of open system modeling on interpretations of anoxia

    Science.gov (United States)

    Hotinski, Roberta M.; Kump, Lee R.; Najjar, Raymond G.

    2000-06-01

    The geologic record preserves evidence that vast regions of ancient oceans were once anoxic, with oxygen levels too low to sustain animal life. Because anoxic conditions have been postulated to foster deposition of petroleum source rocks and have been implicated as a kill mechanism in extinction events, the genesis of such anoxia has been an area of intense study. Most previous models of ocean oxygen cycling proposed, however, have either been qualitative or used closed-system approaches. We reexamine the question of anoxia in open-system box models in order to test the applicability of closed-system results over long timescales and find that open and closed-system modeling results may differ significantly on both short and long timescales. We also compare a scenario with basinwide diffuse upwelling (a three-box model) to a model with upwelling concentrated in the Southern Ocean (a four-box model). While a three-box modeling approach shows that only changes in high-latitude convective mixing rate and character of deepwater sources are likely to cause anoxia, four-box model experiments indicate that slowing of thermohaline circulation, a reduction in wind-driven upwelling, and changes in high-latitude export production may also cause dysoxia or anoxia in part of the deep ocean on long timescales. These results suggest that box models must capture the open-system and vertically stratified nature of the ocean to allow meaningful interpretations of long-lived episodes of anoxia.

  3. A review of presented mathematical models in Parkinson's disease: black- and gray-box models.

    Science.gov (United States)

    Sarbaz, Yashar; Pourakbari, Hakimeh

    2016-06-01

    Parkinson's disease (PD), one of the most common movement disorders, is caused by damage to the central nervous system. Despite all of the studies on PD, the formation mechanism of its symptoms remained unknown. It is still not obvious why damage only to the substantia nigra pars compacta, a small part of the brain, causes a wide range of symptoms. Moreover, the causes of brain damages remain to be fully elucidated. Exact understanding of the brain function seems to be impossible. On the other hand, some engineering tools are trying to understand the behavior and performance of complex systems. Modeling is one of the most important tools in this regard. Developing quantitative models for this disease has begun in recent decades. They are very effective not only in better understanding of the disease, offering new therapies, and its prediction and control, but also in its early diagnosis. Modeling studies include two main groups: black-box models and gray-box models. Generally, in the black-box modeling, regardless of the system information, the symptom is only considered as the output. Such models, besides the quantitative analysis studies, increase our knowledge of the disorders behavior and the disease symptoms. The gray-box models consider the involved structures in the symptoms appearance as well as the final disease symptoms. These models can effectively save time and be cost-effective for the researchers and help them select appropriate treatment mechanisms among all possible options. In this review paper, first, efforts are made to investigate some studies on PD quantitative analysis. Then, PD quantitative models will be reviewed. Finally, the results of using such models are presented to some extent. PMID:26546075

  4. Numerical models and experiment of air flow in a simulation box for optical wireless communications

    Science.gov (United States)

    Latal, Jan; Hajek, Lukas; Bojko, Marian; Vitasek, Jan; Koudelka, Petr; Kepak, Stanislav; Vanderka, Ales; Vasinek, Vladimir

    2016-03-01

    In this article, the authors focused on real measurements of mechanical turbulence generated by ventilators in the simulation box for Optical Wireless Communications. The mechanical turbulences disturb the optical beam that propagates along the central axis of the simulation box. The aim of authors is to show the effect of mechanical turbulence on optical beams at different heights in the simulation box. In the Ansys Fluent, we created numerical models which were then compared with real measurements. Authors compared the real and numerical models according to statistical methods.

  5. Numerical models and experiment of air flow in a simulation box for optical wireless communications

    Directory of Open Access Journals (Sweden)

    Latal Jan

    2016-01-01

    Full Text Available In this article, the authors focused on real measurements of mechanical turbulence generated by ventilators in the simulation box for Optical Wireless Communications. The mechanical turbulences disturb the optical beam that propagates along the central axis of the simulation box. The aim of authors is to show the effect of mechanical turbulence on optical beams at different heights in the simulation box. In the Ansys Fluent, we created numerical models which were then compared with real measurements. Authors compared the real and numerical models according to statistical methods.

  6. Soil moisture simulations using a meso-scale hydrological model and box modelling approach

    Czech Academy of Sciences Publication Activity Database

    Šípek, Václav; Tesař, Miroslav

    St. Petersburg : ERB, 2012 - (Vuglinsky, V.; Kopaliani, Z.; Zhuravin, S.). s. 41-45 [Biennial Conference ERB 2012 on Studies of Hydrological Processes in Research Basins. Current Challenges and Prospects /14./. 17.09.2012-20.09.2012, St. Petersburg] R&D Projects: GA AV ČR IAA300600901; GA ČR GA205/08/1174 Institutional support: RVO:67985874 Keywords : soil moisture * distributed hydrological model ling * box model ling Subject RIV: DA - Hydrology ; Limnology

  7. A case study of interior low-frequency noise from box-shaped bridge girders induced by running trains: Its mechanism, prediction and countermeasures

    Science.gov (United States)

    Zhang, Xun; Li, Xiaozhen; Hao, Hong; Wang, Dangxiong; Li, Yadong

    2016-04-01

    A side effect of high-speed railway and urban rail transit systems is the associated vibration and noise. Since the use of concrete viaducts is predominant in railway construction due to scarce land resources, low-frequency (20-200 Hz) structure-radiated noise from concrete bridges is a principal concern. Although it is the most commonly used bridge type, the mechanism of noise emission from box-shaped bridge girders when subjected to impact forces from moving trains, which sounds like beating a drum, has not been well studied. In this study, a field measurement was first made on a simply-supported box-shaped bridge to record the acceleration of the slabs and the associated sound pressures induced by running trains. These data indicated that a significant beat-wave noise occurred in the box-shaped cavity when the train speed was around 340 km/h, which arose from the interference between two sound waves of 75.0 Hz and 78.8 Hz. The noise leakage from the bridge expansion joint was serious and resulted in obvious noise pollution near the bridge once the beat-wave noise was generated in the cavity. The dominant frequency of the interior noise at 75.0 Hz was confirmed from the spectrum of the data and the modal analysis results, and originated from the peak vibration of the top slab due to resonance and the first-order vertical acoustic mode, which led to cavity resonance, amplifying the corresponding noise. The three-dimensional acoustic modes and local vibration modes of the slab were calculated by using the finite element method. A simplified vehicle-track-bridge coupling vibration model was then developed to calculate the wheel-rail interaction force in a frequency range of 20-200 Hz. Numerical simulations using the boundary element method confirmed the cavity resonance effect and the numerical results agreed well with the data. Based on the calibrated numerical model, three noise reduction measures, i.e., adding a horizontal baffle in the interior cavity, narrowing

  8. Stochastic gradient algorithm for a dual-rate Box-Jenkins model based on auxiliary model and FIR model

    Institute of Scientific and Technical Information of China (English)

    Jing CHEN; Rui-feng DING

    2014-01-01

    Based on the work in Ding and Ding (2008), we develop a modifi ed stochastic gradient (SG) parameter estimation algorithm for a dual-rate Box-Jenkins model by using an auxiliary model. We simplify the complex dual-rate Box-Jenkins model to two fi nite impulse response (FIR) models, present an auxiliary model to estimate the missing outputs and the unknown noise variables, and compute all the unknown parameters of the system with colored noises. Simulation results indicate that the proposed method is effective.

  9. SimpleBox 4.0: Improving the model while keeping it simple….

    Science.gov (United States)

    Hollander, Anne; Schoorl, Marian; van de Meent, Dik

    2016-04-01

    Chemical behavior in the environment is often modeled with multimedia fate models. SimpleBox is one often-used multimedia fate model, firstly developed in 1986. Since then, two updated versions were published. Based on recent scientific developments and experience with SimpleBox 3.0, a new version of SimpleBox was developed and is made public here: SimpleBox 4.0. In this new model, eight major changes were implemented: removal of the local scale and vegetation compartments, addition of lake compartments and deep ocean compartments (including the thermohaline circulation), implementation of intermittent rain instead of drizzle and of depth dependent soil concentrations, adjustment of the partitioning behavior for organic acids and bases as well as of the value for enthalpy of vaporization. In this paper, the effects of the model changes in SimpleBox 4.0 on the predicted steady-state concentrations of chemical substances were explored for different substance groups (neutral organic substances, acids, bases, metals) in a standard emission scenario. In general, the largest differences between the predicted concentrations in the new and the old model are caused by the implementation of layered ocean compartments. Undesirable high model complexity caused by vegetation compartments and a local scale were removed to enlarge the simplicity and user friendliness of the model. PMID:26802268

  10. The feasibility and effectiveness of high-intensity boxing training versus moderate-intensity brisk walking in adults with abdominal obesity: a pilot study

    OpenAIRE

    Birinder S. Cheema; Davies, Timothy B; Stewart, Matthew; Papalia, Shona; Atlantis, Evan

    2015-01-01

    Background High-intensity interval training (HIIT) performed on exercise cycle or treadmill is considered safe and often more beneficial for fat loss and cardiometabolic health than moderate-intensity continuous training (MICT). The aim of this pilot study was to assess the feasibility and effectiveness of a 12-week boxing training (HIIT) intervention compared with an equivalent dose of brisk walking (MICT) in obese adults. Methods Men and women with abdominal obesity and body mass index >25 ...

  11. A simple multistage closed-(box+reservoir model of chemical evolution

    Directory of Open Access Journals (Sweden)

    Caimmi R.

    2011-01-01

    Full Text Available Simple closed-box (CB models of chemical evolution are extended on two respects, namely (i simple closed-(box+reservoir (CBR models allowing gas outflow from the box into the reservoir (Hartwick 1976 or gas inflow into the box from the reservoir (Caimmi 2007 with rate proportional to the star formation rate, and (ii simple multistage closed-(box+reservoir (MCBR models allowing different stages of evolution characterized by different inflow or outflow rates. The theoretical differential oxygen abundance distribution (TDOD predicted by the model maintains close to a continuous broken straight line. An application is made where a fictitious sample is built up from two distinct samples of halo stars and taken as representative of the inner Galactic halo. The related empirical differential oxygen abundance distribution (EDOD is represented, to an acceptable extent, as a continuous broken line for two viable [O/H]-[Fe/H] empirical relations. The slopes and the intercepts of the regression lines are determined, and then used as input parameters to MCBR models. Within the errors (-+σ, regression line slopes correspond to a large inflow during the earlier stage of evolution and to low or moderate outflow during the subsequent stages. A possible inner halo - outer (metal-poor bulge connection is also briefly discussed. Quantitative results cannot be considered for applications to the inner Galactic halo, unless selection effects and disk contamination are removed from halo samples, and discrepancies between different oxygen abundance determination methods are explained.

  12. Theoretical Evaluation of the Sediment/Water Exchange Description in Generic Compartment Models (SimpleBox)

    DEFF Research Database (Denmark)

    Sørensen, P. B.; Fauser, P.; Carlsen, L.;

    It is shown how diffusion and deposition of solids drive the flux of substance between the water column and the sediment. The generic compartment models (Mackay type) use a one box model for the sediment in order to keep the calculations simple. However, when diffusion needs to be included in the...

  13. Mental models and user training

    Directory of Open Access Journals (Sweden)

    Saša Zupanič

    1997-01-01

    Full Text Available One of the functions of the reference service is user training which means teaching users how to use the library and it's information sorces (nowadays mainly computerized systems. While the scientific understanding of teaching/learning process is shifting, changes also affect the methods of user training in libraries.Human-computer interaction (HCI is an interdisciplinary and a very active research area which studies how humans use computers - their mental and behavioral characteristics. The application of psychological theories to HCI are especially great on three areas: psychological (mental, conceptual models, individual differences, and error behavior.The mental models theory is powerful tool for understanding the ways in which users interact with an information system. Claims, based on this theory can affect the methods (conceptualization of user training and the overall design of information systems.

  14. A box model to estimate collective dose from reprocessing effluent into the Pacific Ocean

    International Nuclear Information System (INIS)

    An adoptable box model system (UMIBOX) has been developed to estimate collective dose from liquid effluent of reprocessing plant at coastal area of the Pacific Ocean. To evaluate the situation of the adjacent seas of Japan, reasonable definition of boxes in the Pacific Ocean is inevitable. Referring to the basis of recent oceanographic knowledge on the circulation of the Pacific water, the boxes have been defined by density structure. The volume, density, salinity, temperature and dissolved oxygen in each box are calculated using all data of the Climatologcal Atlas of the World Ocean by S. Levitus within the 5deg Square for longitudinal and latitudinal directions. Corresponding to the definition of boxes, production data of the marine organisms has been compiled. Preliminary results using the model for the population of Japan and the world are presented. The collective intakes and the collective effective dose equivalent commitments per unit release of various radionuclides into coastal waters are given for a series of integration times. (author)

  15. A comparison of classical mechanics models and finite element simulation of elastically tailored wing boxes

    Science.gov (United States)

    Rehfield, Lawrence W.; Pickings, Richard D.; Chang, Stephen; Holl, Michael

    1991-01-01

    Structural tailoring concepts were developed to create wings with elastically produced camber for the purpose of increasing lift during takeoff conditions. Simple models based upon enhancements to the thin walled composite beam theory of Rehfield were developed to investigate prospects for elastic tailoring of the chordwise deformation of wing structures. The purpose here is to provide a comparison of the theoretical results with a finite element model for the bending method of producing camber. Finite element correlation studies were completed for two cases: a bonded unstiffened structural box, and a bolted unstiffened structural box. Results from these studies show an error of less than one percent for the bonded case and less than six percent for the bolted case in predicting camber curvature for the structural box. Examination of the results shows that the theory is very accurate for the cases studied and will provide an excellent basis for conducting further tailoring studies.

  16. Manifold boundaries give "gray-box" approximations of complex models

    CERN Document Server

    Transtrum, Mark K

    2016-01-01

    We discuss a method of parameter reduction in complex models known as the Manifold Boundary Approximation Method (MBAM). This approach, based on a geometric interpretation of statistics, maps the model reduction problem to a geometric approximation problem. It operates iteratively, removing one parameter at a time, by approximating a high-dimension, but thin manifold by its boundary. Although the method makes no explicit assumption about the functional form of the model, it does require that the model manifold exhibit a hierarchy of boundaries, i.e., faces, edges, corners, hyper-corners, etc. We empirically show that a variety of model classes have this curious feature, making them amenable to MBAM. These model classes include models composed of elementary functions (e.g., rational functions, exponentials, and partition functions), a variety of dynamical system (e.g., chemical and biochemical kinetics, Linear Time Invariant (LTI) systems, and compartment models), network models (e.g., Bayesian networks, Marko...

  17. Augmented Twin-Nonlinear Two-Box Behavioral Models for Multicarrier LTE Power Amplifiers

    OpenAIRE

    Oualid Hammi

    2014-01-01

    A novel class of behavioral models is proposed for LTE-driven Doherty power amplifiers with strong memory effects. The proposed models, labeled augmented twin-nonlinear two-box models, are built by cascading a highly nonlinear memoryless function with a mildly nonlinear memory polynomial with cross terms. Experimental validation on gallium nitride based Doherty power amplifiers illustrates the accuracy enhancement and complexity reduction achieved by the proposed models. When strong memory ef...

  18. Adaptive MPC based on probabilistic black-box input-output model

    International Nuclear Information System (INIS)

    A novel adaptive model-based predictive-control algorithm is proposed for the control of stable nonlinear dynamic systems. The model of controlled dynamical system is a Gaussian process (GP) model. It is a probabilistic, nonparametric, kernel, black-box model. An evolving GP-modelling method is used for the online model identification. Model-based predictive control utilising such a model results in an adaptive feedback control. The proposed control-method features are illustrated on a simulation example. Key words: evolving Gaussian process model, model-based predictive control, adaptive control

  19. A white-box model of S-shaped and double S-shaped single-species population growth.

    Science.gov (United States)

    Kalmykov, Lev V; Kalmykov, Vyacheslav L

    2015-01-01

    Complex systems may be mechanistically modelled by white-box modeling with using logical deterministic individual-based cellular automata. Mathematical models of complex systems are of three types: black-box (phenomenological), white-box (mechanistic, based on the first principles) and grey-box (mixtures of phenomenological and mechanistic models). Most basic ecological models are of black-box type, including Malthusian, Verhulst, Lotka-Volterra models. In black-box models, the individual-based (mechanistic) mechanisms of population dynamics remain hidden. Here we mechanistically model the S-shaped and double S-shaped population growth of vegetatively propagated rhizomatous lawn grasses. Using purely logical deterministic individual-based cellular automata we create a white-box model. From a general physical standpoint, the vegetative propagation of plants is an analogue of excitation propagation in excitable media. Using the Monte Carlo method, we investigate a role of different initial positioning of an individual in the habitat. We have investigated mechanisms of the single-species population growth limited by habitat size, intraspecific competition, regeneration time and fecundity of individuals in two types of boundary conditions and at two types of fecundity. Besides that, we have compared the S-shaped and J-shaped population growth. We consider this white-box modeling approach as a method of artificial intelligence which works as automatic hyper-logical inference from the first principles of the studied subject. This approach is perspective for direct mechanistic insights into nature of any complex systems. PMID:26038717

  20. The Analysis of Organizational Diagnosis on Based Six Box Model in Universities

    Science.gov (United States)

    Hamid, Rahimi; Siadat, Sayyed Ali; Reza, Hoveida; Arash, Shahin; Ali, Nasrabadi Hasan; Azizollah, Arbabisarjou

    2011-01-01

    Purpose: The analysis of organizational diagnosis on based six box model at universities. Research method: Research method was descriptive-survey. Statistical population consisted of 1544 faculty members of universities which through random strafed sampling method 218 persons were chosen as the sample. Research Instrument were organizational…

  1. The Particle/Wave-in-a-Box Model in Dutch Secondary Schools

    Science.gov (United States)

    Hoekzema, Dick; van den Berg, Ed; Schooten, Gert; van Dijk, Leo

    2007-01-01

    The combination of mathematical and conceptual difficulties makes teaching quantum physics at secondary schools a precarious undertaking. With many of the conceptual difficulties being unavoidable, simplifying the mathematics becomes top priority. The particle/wave-in-a-box provides a teaching model which includes many aspects of serious …

  2. Estimation parameters and black box model of a brushless DC motor

    Directory of Open Access Journals (Sweden)

    José A. Becerra-Vargas

    2014-08-01

    Full Text Available The modeling of a process or a plant is vital for the design of its control system, since it allows predicting its dynamic and behavior under different circumstances, inputs, disturbances and noise. The main objective of this work is to identify which model is best for a permanent magnet brushless DC specific motor. For this, the mathematical model of a DC motor brushless PW16D, manufactured by Golden Motor, is presented and compared with its black box model; both are derived from experimental data. These data, the average applied voltage and the angular velocity, are acquired by a data acquisition card and imported to the computer. The constants of the mathematical model are estimated by a curve fitting algorithm based on non-linear least squares and pattern search using computational tool. To estimate the mathematical model constants by non-linear least square and search pattern, a goodness of fit of 84.88% and 80.48% respectively was obtained. The goodness of fit obtained by the black box model was 87.72%. The mathematical model presented slightly lower goodness of fit, but allowed to analyze the behavior of variables of interest such as the power consumption and the torque applied to the motor. Because of this, it is concluded that the mathematical model obtained by experimental data of the brushless motor PW16D, is better than its black box model.

  3. NOx and O3 above a tropical rainforest: an analysis with a global and box model

    Science.gov (United States)

    Pike, R. C.; Lee, J. D.; Young, P. J.; Carver, G. D.; Yang, X.; Warwick, N.; Moller, S.; Misztal, P.; Langford, B.; Stewart, D.; Reeves, C. E.; Hewitt, C. N.; Pyle, J. A.

    2010-11-01

    A cross-platform field campaign, OP3, was conducted in the state of Sabah in Malaysian Borneo between April and July of 2008. Among the suite of observations recorded, the campaign included measurements of NOx and O3 - crucial outputs of any model chemistry mechanism. We describe the measurements of these species made from both the ground site and aircraft. We then use the output from two resolutions of the chemistry transport model p-TOMCAT to illustrate the ability of a global model chemical mechanism to capture the chemistry at the rainforest site. The basic model performance is good for NOx and poor for ozone. A box model containing the same chemical mechanism is used to explore the results of the global model in more depth and make comparisons between the two. Without some parameterization of the nighttime boundary layer - free troposphere mixing (i.e. the use of a dilution parameter), the box model does not reproduce the observations, pointing to the importance of adequately representing physical processes for comparisons with surface measurements. We conclude with a discussion of box model budget calculations of chemical reaction fluxes, deposition and mixing, and compare these results to output from p-TOMCAT. These show the same chemical mechanism behaves similarly in both models, but that emissions and advection play particularly strong roles in influencing the comparison to surface measurements.

  4. Thermohaline circulation stability: a box model study - Part II: coupled atmosphere-ocean model

    CERN Document Server

    Lucarini, V; Lucarini, Valerio; Stone, Peter H.

    2004-01-01

    A thorough analysis of the stability of a coupled version of an inter-hemispheric 3-box model of Thermohaline Circulation (THC) is presented. This study follows a similarly structured analysis on an uncoupled version of the same model presented in Part I. We study how the strength of THC changes when the system undergoes forcings representing global warming conditions. Each perturbation to the initial equilibrium is characterized by the total radiative forcing realized, by the rate of increase, and by the North-South asymmetry. The choice of suitably defined metrics allows us to determine the boundary dividing the set of radiative forcing scenarios that lead the system to equilibria characterized by a THC pattern similar to the present one, from those that drive the system to equilibria where the THC is reversed. We also consider different choices for the atmospheric transport parameterizations and for the ratio between the high latitude to tropical radiative forcing. We generally find that fast forcings are ...

  5. Box model and 1D longitudinal model of flow and transport in Bosten Lake, China

    Science.gov (United States)

    Li, Ning; Kinzelbach, Wolfgang; Li, WenPeng; Dong, XinGuang

    2015-05-01

    Bosten Lake in the southeast of Yanqi Catchment, China, supports the downstream agricultural and natural environments. Over the last few decades the intensive agricultural activities in Yanqi Catchment resulted in decreased lake levels and deteriorated lake water quality. A two-box model is constructed to understand the evolution of lake level and salinity between 1958 and 2008. The two-box model of the lake indicates that the evaporation does have the same trend as the observed lake area and the annual average evaporation agrees with the value obtained from the Penman-Monteith approach. To achieve a correct salt balance, the ratio of outflow concentration and average lake concentration has to be around 0.7. This is due to the incomplete mixing of the lake caused by short-circuiting between tributary inflow and the main outflow via the pump stations abstracting water from the lake. This short-circuiting is investigated in more detail by a 1D numerical flow and transport model of the lake calibrated with observations of lake level and lake concentrations. The distributed model reproduces the correct time-varying outflow concentration. It is used for the assessment of two basic management options: increasing river discharge (by water saving irrigation, reduction of phreatic evaporation or reduction of agricultural area) and diverting saline drainage water to the desert. Increasing river discharge to the lake by 20% reduces the east basin salt concentration by 0.55 kg/m3, while capturing all the drainage water and discharging it to depressions instead of the lake reduces the east basin salt concentration by 0.63 kg/m3. A combination of increasing river inflow and decreasing drainage salt flux is sufficient to bring future lake TDS below the required 1 kg/m3, to keep a lake level that sustains the lake ecosystem, and to supply more water for downstream development and ecosystem rehabilitation.

  6. A Grey-Box Model for Spray Drying Plants

    DEFF Research Database (Denmark)

    Petersen, Lars Norbert; Poulsen, Niels Kjølstad; Niemann, Hans Henrik;

    2013-01-01

    Multi-stage spray drying is an important and widely used unit operation in the production of food powders. In this paper we develop and present a dynamic model of the complete drying process in a multi-stage spray dryer. The dryer is divided into three stages: The spray stage and two fluid bed...

  7. Optimal experiment design for identification of grey-box models

    OpenAIRE

    Sadegh, Payman; Melgaard, Henrik; Madsen, Henrik; Holst, Jan

    1994-01-01

    Optimal experiment design is investigated for stochastic dynamic systems where the prior partial information about the system is given as a probability distribution function in the system parameters. The concept of information is related to entropy reduction in the system through Lindley's measure of average information, and the relationship between the choice of information related criteria and some estimators (MAP and MLE) is established. A continuous time physical model of the heat dynamic...

  8. Optimal experiment design for identification of grey-box models

    DEFF Research Database (Denmark)

    Sadegh, Payman; Melgaard, Henrik; Madsen, Henrik; Holst, Jan

    Optimal experiment design is investigated for stochastic dynamic systems where the prior partial information about the system is given as a probability distribution function in the system parameters. The concept of information is related to entropy reduction in the system through Lindley's measure...... to a MAP estimation results in a considerable reduction of the experimental length. Besides, it is established that the physical knowledge of the system enables us to design experiments, with the goal of maximizing information about the physical parameters of interest....... of average information, and the relationship between the choice of information related criteria and some estimators (MAP and MLE) is established. A continuous time physical model of the heat dynamics of a building is considered and the results show that performing an optimal experiment corresponding...

  9. A Two-Step Identification Approach for Twin-Box Models of RF Power Amplifier

    Directory of Open Access Journals (Sweden)

    You-Jiang Liu

    2011-01-01

    Full Text Available We propose a two-step identification approach for twin-box model (Wiener or Hammerstein of RF power amplifier. The linear filter block and the static nonlinearity block are extracted, respectively, based on least-squares method, by iterative calculation. Simulations show that the method can get quite accurate parameters to model different nonlinear models with memory such as Wiener, Hammerstein, Wiener-Hammerstein (W-H, and memory polynomial models, hence, demonstrating its robustness. Furthermore, experimental results show excellent agreement between measured output and modeled output, where one carrier WCDMA signal is used as the excitation for a wideband RF amplifier.

  10. The BOXES Methodology Black Box Dynamic Control

    CERN Document Server

    Russell, David W

    2012-01-01

    Robust control mechanisms customarily require knowledge of the system’s describing equations which may be of the high order differential type.  In order to produce these equations, mathematical models can often be derived and correlated with measured dynamic behavior.  There are two flaws in this approach one is the level of inexactness introduced by linearizations and the other when no model is apparent.  Several years ago a new genre of control systems came to light that are much less dependent on differential models such as fuzzy logic and genetic algorithms. Both of these soft computing solutions require quite considerable a priori system knowledge to create a control scheme and sometimes complicated training program before they can be implemented in a real world dynamic system. Michie and Chambers’ BOXES methodology created a black box system that was designed to control a mechanically unstable system with very little a priori system knowledge, linearization or approximation.  All the method need...

  11. Examining the Effectiveness of a Train-the-Trainer Model: Training Teachers to Use Pivotal Response Training

    Science.gov (United States)

    Suhrheinrich, Jessica

    2011-01-01

    The train-the-trainer (TTT) model, which has also been called pyramidal training, triadic training, and helper model training, focuses on initially training a person or people who, in turn, train other people at their home agency. The TTT model has promise of being both efficient and cost-effective. The TTT model may be especially useful in…

  12. Quantifying atmospheric transport, chemistry, and mixing using a new trajectory-box model and a global atmospheric-chemistry GCM

    OpenAIRE

    H. Riede; Jöckel, P.; Sander, R.

    2009-01-01

    We present a novel method for the quantification of transport, chemistry, and mixing along atmospheric trajectories based on a consistent model hierarchy. The hierarchy consists of the new atmospheric-chemistry trajectory-box model CAABA/MJT and the three-dimensional (3-D) global ECHAM/MESSy atmospheric-chemistry (EMAC) general circulation model. CAABA/MJT employs the atmospheric box model CAABA in a configuration using the atmospheric-chemistry submodel MECCA (M), the photochemistry submodel...

  13. Model Training Guide. Firefighter I.

    Science.gov (United States)

    Hagevig, William A.; Gallagher, Leigh S.

    This firefighter training guide for a 180-hour course was developed to assist training officers in planning training with emphasis on conformance to recommended National Fire Protection Association (NFPA 1001) standards. The material in the guide is referenced to current editions of the International Fire Service Training Association manuals and…

  14. Trajectory Optimization under Changing Conditions through Evolutionary Approach and Black-Box Models with Refining

    Czech Academy of Sciences Publication Activity Database

    Macek, Karel; Rojíček, J.; Bičík, V.

    Vol. XVIII. Cham: Springer, 2013, s. 267-274. (XVIII. 217). ISBN 978-3-319-00550-8. [10th International Symposium on Distributed Computing and Artificial Intelligence . Salamanca (ES), 22.05.2013-24.05.2013] Institutional support: RVO:67985556 Keywords : Empirical function minimization * black-box modeling * simplification * refining * dynamic building control Subject RIV: BB - Applied Statistics, Operational Research http://library.utia.cas.cz/separaty/2013/AS/macek-trajectory optimization under changing.pdf

  15. Comparative uncertainty analysis of copper loads in stormwater systems using GLUE and grey-box modeling

    DEFF Research Database (Denmark)

    Lindblom, Erik Ulfson; Madsen, Henrik; Mikkelsen, Peter Steen

    2007-01-01

    In this paper two attempts to assess the uncertainty involved with model predictions of copper loads from stormwater systems are made. In the first attempt, the GLUE methodology is applied to derive model parameter sets that result in model outputs encompassing a significant number of the...... proposed model and input data, the GLUE analysis show that the total sampled copper mass can be predicted within a range of +/- 50% of the median value ( 385 g), whereas the grey-box analysis showed a prediction uncertainty of less than +/- 30%. Future work will clarify the pros and cons of the two methods...

  16. Estimation parameters and black box model of a brushless DC motor

    OpenAIRE

    José A. Becerra-Vargas; Francisco E. Moreno-García; Juan J. Quiroz-Omaña; Deyanira Bautista-Arias

    2014-01-01

    The modeling of a process or a plant is vital for the design of its control system, since it allows predicting its dynamic and behavior under different circumstances, inputs, disturbances and noise. The main objective of this work is to identify which model is best for a permanent magnet brushless DC specific motor. For this, the mathematical model of a DC motor brushless PW16D, manufactured by Golden Motor, is presented and compared with its black box model; both are derived from experimenta...

  17. Nutrient fluxes in the Changjiang River estuary and adjacent waters — a modified box model approach

    Science.gov (United States)

    Wang, Xiaohong; Yu, Zhiming; Fan, Wei; Song, Xiuxian; Cao, Xihua; Yuan, Yongquan

    2015-01-01

    To solve nutrient flux and budget among waters with distinct salinity difference for water-salt-nutrient budget, a traditional method is to build a stoichiometrically linked steady state model. However, the traditional way cannot cope appropriately with those without distinct salinity difference that parallel to coastline or in a complex current system, as the results would be highly affected by box division in time and space, such as the Changjiang (Yangtze) River estuary (CRE) and adjacent waters (30.75°2-31.75°N, 122°10'-123°20'E). Therefore, we developed a hydrodynamic box model based on the traditional way and the regional oceanic modeling system model (ROMS). Using data from four cruises in 2005, horizontal, vertical and boundary nutrient fluxes were calculated in the hydrodynamic box model, in which flux fields and the major controlling factors were studied. Results show that the nutrient flux varied greatly in season and space. Water flux outweighs the nutrient concentration in horizontal flux, and upwelling flux outweighs upward diffusion flux in vertical direction (upwelling flux and upward diffusion flux regions overlap largely all the year). Vertical flux in spring and summer are much greater than that in autumn and winter. The maximum vertical flux for DIP (dissolved inorganic phosphate) occurs in summer. Additional to the fluxes of the Changjiang River discharge, coastal currents, the Taiwan Warm Current, and the upwelling, nutrient flux inflow from the southern Yellow Sea and outflow southward are found crucial to nutrient budgets of the study area. Horizontal nutrient flux is controlled by physical dilution and confined to coastal waters with a little into the open seas. The study area acts as a conveyer transferring nutrients from the Yellow Sea to the East China Sea in the whole year. In addition, vertical nutrient flux in spring and summer is a main source of DIP. Therefore, the hydrodynamic ROMS-based box model is superior to the traditional

  18. Effects of Intermittent Aerobic Training on Passive Avoidance Test (Shuttle Box) and Stress Markers in the Dorsal Hippocampus Of Wistar Rats Exposed to Administration of Homocysteine

    OpenAIRE

    Hosseinzadeh, Somayeh; Dabidi Roshan, Valiollah; Pourasghar, Mehdi

    2013-01-01

    Objective: Elevated amino acid homocysteine (Hcy) levels and insufficient physical activity are the risk factors in Alzheimer disease (AD) development. The effect of intermittent aerobic training on memory retention test and Thiobarbituric Acid Reactive Substances (TBARS) and superoxide dismutase (SOD) levels in the dorsal hippocampus of rats which were stimulated with Hcy is investigated. Methods: In order to determine the dose at which using Shuttle Box Test recognizes degenerative changes ...

  19. Grey-box Modeling for System Identification of Household Refrigerators: a Step Toward Smart Appliances

    DEFF Research Database (Denmark)

    Costanzo, Giuseppe Tommaso; Sossan, Fabrizio; Marinelli, Mattia;

    2013-01-01

    This paper presents the grey-box modeling of a vapor-compression refrigeration system for residential applications based on maximum likelihood estimation of parameters in stochastic differential equations. Models obtained are useful in the view of controlling refrigerators as flexible consumption...... units, which operation can be shifted within temperature and operational constraints. Even if the refrigerators are not intended to be used as smart loads, validated models are useful in predicting units consumption. This information can increase the optimality of the management of other flexible units...

  20. A white-box model of S-shaped and double S-shaped single-species population growth

    Directory of Open Access Journals (Sweden)

    Lev V. Kalmykov

    2015-05-01

    Full Text Available Complex systems may be mechanistically modelled by white-box modeling with using logical deterministic individual-based cellular automata. Mathematical models of complex systems are of three types: black-box (phenomenological, white-box (mechanistic, based on the first principles and grey-box (mixtures of phenomenological and mechanistic models. Most basic ecological models are of black-box type, including Malthusian, Verhulst, Lotka–Volterra models. In black-box models, the individual-based (mechanistic mechanisms of population dynamics remain hidden. Here we mechanistically model the S-shaped and double S-shaped population growth of vegetatively propagated rhizomatous lawn grasses. Using purely logical deterministic individual-based cellular automata we create a white-box model. From a general physical standpoint, the vegetative propagation of plants is an analogue of excitation propagation in excitable media. Using the Monte Carlo method, we investigate a role of different initial positioning of an individual in the habitat. We have investigated mechanisms of the single-species population growth limited by habitat size, intraspecific competition, regeneration time and fecundity of individuals in two types of boundary conditions and at two types of fecundity. Besides that, we have compared the S-shaped and J-shaped population growth. We consider this white-box modeling approach as a method of artificial intelligence which works as automatic hyper-logical inference from the first principles of the studied subject. This approach is perspective for direct mechanistic insights into nature of any complex systems.

  1. Box –Jenkins Models For Forecasting The Daily Degrees Of Temperature In Sulaimani City.

    Directory of Open Access Journals (Sweden)

    Samira Muhammad Salh

    2014-02-01

    Full Text Available The Auto-regressive model in the time series is regarded one of the statistical articles which is more used because it gives us a simple method to limit the relation between variables time series. More over it is one of Box –Jenkins models to limit the time series in the forecasting the value of phenomenon in the future so that study aims for the practical analysis studying for the auto-regressive models in the time series, through one of Box –Jenkins models for forecasting the daily degrees of temperature in Sulaimani city for the year (2012- Sept.2013 and then for building a sample in the way of special data in the degrees of temperature and its using in the calculating the future forecasting . the style which is used is the descriptive and analyzing by the help of data that is dealt with statistically and which is collected from the official resources To reach his mentioned aim , the discussion of the following items has been done by the theoretical part which includes the idea of time series and its quality and the autocorrelation and Box –Jenkins and then the practical part which includes the statistical analysis for the data and the discussion of the theoretical part, so they reached to a lot of conclusions as it had come in the practical study for building autoregressive models of time series as the mode was very suitable is the auto-regressive model and model moving average by the degree (1,1,1.

  2. Modelling segregation effects of heterogeneous emissions on ozone levels in idealised urban street canyons: Using photochemical box models

    International Nuclear Information System (INIS)

    Air quality models include representations of pollutant emissions, which necessarily entail spatial averaging to reflect the model grid size; such averaging may result in significant uncertainties and/or systematic biases in the model output. This study investigates such uncertainties, considering ozone concentrations in idealised street canyons within the urban canopy. A photochemical model with grid-averaged emissions of street canyons is compared with a multiple-box model considering each canyon independently. The results reveal that the averaged, ‘one-box’ model may significantly underestimate true (independent canyon mean) ozone concentrations for typical urban areas, and that the performance of the averaged model is improved for more ‘green’ and/or less trafficked areas. Our findings also suggest that the trends of 2005–2020 in emissions, in isolation, reduce the error inherent in the averaged-emissions treatment. These new findings may be used to evaluate uncertainties in modelled urban ozone concentrations when grid-averaged emissions are adopted. - Highlights: • Grid-based models adopting a grid-averaging scheme of emissions may result in model uncertainties. • Such uncertainties considering ozone levels in idealised street canyons are examined. • The one-box model significantly underestimates the street-level ozone abundance. • The performance of the one-box model is improved for more ‘green’ or less trafficked areas. • Future emission trends are expected to lead to the error in the one-box model approach falling. - A grid-based urban air quality model, if adopting a grid-averaging scheme of emissions from segregated street canyons, may significantly underestimate the street-level ozone abundance

  3. Improved concept models for straight thin-walled columns with box cross section

    Institute of Scientific and Technical Information of China (English)

    Yu-cheng LIU

    2008-01-01

    This paper focuses on developing improved concept models for straight thin-walled box sectional columns which can better predict the peak crushing force that occurs during crashworthiness analyses.We develop a nonlinear translational spring based on previous research and apply such a spring element to build the enhanced concept models.The work presented in this article is developed on the basis of the publication of the author(Liu and Day,2006b)and has been applied in a crashworthiness design issue,which is presented by the author in another paper(Liu,2008).

  4. Design of a multi-purpose training box for laparoscopic surgery%多用途腹腔镜手术训练器的设计

    Institute of Scientific and Technical Information of China (English)

    郑晨; 宋成利

    2013-01-01

    目的 设计一种帮助医生掌握腹腔镜手术技能的训练器.方法 以人因工程原则为基础,测量30个成年人腹部表面的尺寸,并结合气腹条件下人体腹壁的扩张程度,确定训练器的尺寸和轮廓.依照手术中最佳的操作角、方位角和仰角的度数确定穿刺孔的位置.采用小型摄像头和LED灯带模拟腹腔镜摄像头和光源.依照McGill腹腔镜技能训练的标准和腹腔镜手术基本技能设计训练模块.最后,应用Autodesk Inventor软件完成三维设计与装配,应用数控技术和快速成型技术完成样机的加工制造.结果 设计了一种多用途腹腔镜手术训练器,其尺寸为300 mm×350 mm×150 mm,主要由箱体、底板、摄像系统、抽屉系统、灯带以及7个任务模块组成.结论 本研究设计的训练器符合人因工程学的设计,使用方便;既能提供传统腹腔镜手术训练,也适用于单孔手术练习.%Objective To design a training box for laparoscopic skills.Methods Based on ergonomics,the size and the contour of the training box were designed with the abdominal surface data of 30 adults and extension degree of the abdominal wall under pneumoperitoneum.Port location was designed considering the optimal manipulation angel,azimuth angle and elevation angle.A flexible camera system and LED light belts were used to simulate laparoscope and light source.Training tasks were designed according to the McGill Laparoscopic Simulation study and basic laparoscopic skills.Finally,the 3D design and assembling of the training box were achieved by Autodesk Inventor,and rapid prototyping and computerized numerical control technology were used to manufacture the prototype.Results A multi-purpose training box with seven training tasks for laparoscopic surgery was successfully designed,with a size of 300 mm× 350 mm× 150 mm.It was mainly composed of box,baseboard,camera system,drawer system,light belts,and seven training task modules.Conclusion The

  5. Effect of Interfacial Debonding on the Strength of Composite Structure-Similarity Scale Model for the Wing-Box

    OpenAIRE

    Shiyong Sun; Rui Yang; Zibin Yan; Wei Qian

    2015-01-01

    Based on the wing-box structure, a model was established to analyze the strength of the scale model for the composite wing. Firstly, different failure criteria were set to determine damage onset of the components. The continuum damage variables were adopted in the stiffness degradation rule. Secondly, the interface elements were placed along the interface between the beam flange and the skin to investigate the effects of bonding strength on the ultimate load-carrying capacity of the wing-box....

  6. Finite element cochlea box model - Mechanical and electrical analysis of the cochlea

    Science.gov (United States)

    Nikolic, Milica; Teal, Paul D.; Isailovic, Velibor; Filipović, Nenad

    2015-12-01

    The primary role of the cochlea is to transform external sound stimuli into mechanical vibrations and then to neural impulses which are sent to the brain. A simplified cochlea box model was developed using the finite element method. Firstly, a mechanical model of the cochlea was analyzed. The box model consists of the basilar membrane and two fluid chambers - the scala vestibuli and scala tympani. The third chamber, the scala media, was neglected in the mechanical analysis. The best agreement with currently available analytical and experimental results was obtained when behavior of the fluid in the chambers was described using the wave acoustic equation and behavior of the basilar membrane was modeled with Newtonian dynamics. The obtained results show good frequency mapping. The second approach was to use an active model of the cochlea in which the Organ of Corti was included. The operation of the Organ of Corti involves the generation of current, caused by mechanical vibration. This current in turn causes a force applied to the basilar membrane, creating in this way an active feedback mechanism. A state space representation of the electro-mechanical model from existing literature was implemented and a first comparison with the finite element method is presented.

  7. Gray-box modeling and validation of residential HVAC system for control system design

    International Nuclear Information System (INIS)

    Highlights: • Gray-box models of residential HVAC system are developed. • Measurements were made on the inputs and outputs of each subsystem. • The parameters of the models were found by nonlinear least squares optimization. • Models were simulated in Matlab Simulink® and compared with the measurements. • Integrated HVAC model was developed by cascading the individual subsystem models. - Abstract: In this paper gray-box models of the residential heating, ventilation and air conditioning (HVAC) system were developed. The HVAC system comprises of several subsystems such as energy recovery ventilator (ERV), air handling unit (AHU), buffer tank (BT), radiant floor heating (RFH) system, zone and ground source heat pump (GSHP) whose models can be identified separately and combined to obtain the model of the full system. The parameters of the subsystem models were identified from the data measured from the instrumented TRCA Archetype Sustainable House (TRCA-ASH) HVAC systems located at Kortright Centre for Conservation in Vaughan, Ontario, Canada. Individual subsystem models were combined to obtain the full system model which replicates the performance of the existing HVAC system and provides the cost estimate for running the HVAC system. Existing HVAC system uses ON/OFF controllers for zone temperature and BT temperature control. The ON/OFF controllers were integrated into the full scale system model and energy estimates were calculated for the operation of primary and secondary components (e.g., GSHP, fans and pumps). This model can be used to further investigate the effects of more advanced controllers (e.g., PID, model predictive control-MPC) and energy conservation strategies (e.g., set-point reset, passive/active thermal energy storage) in the simulation before implementing on the existing HVAC system

  8. Identification of a nonlinear black-box model for a self-sensing polymer metal composite actuator

    International Nuclear Information System (INIS)

    An ion polymer metal composite (IPMC) is an electro-active polymer that bends in response to a small applied electrical field as a result of the mobility of cations in the polymer network and vice versa. The aim of this paper is the identification of a novel accurate nonlinear black-box model (NBBM) for IPMC actuators with self-sensing behavior based on a recurrent multi-layer perceptron neural network (RMLPNN) and a self-adjustable learning mechanism (SALM). Firstly, an IPMC actuator is investigated. Driving voltage signals are applied to the IPMC in order to identify the IPMC characteristics. Secondly, the advanced NBBM for the IPMC is built with suitable inputs and output to estimate the IPMC tip displacement. Finally, the model parameters are optimized by the collected input/output training data. Modeling results show that the proposed self-sensing methodology based on the optimized NBBM model can well describe the bending behavior of the IPMC actuator corresponding to its applied power without using any measuring sensor

  9. Concepts and strategies on how to train and motivate teachers to implement a kindergarten-based, family-involved intervention to prevent obesity in early childhood. The ToyBox-study.

    Science.gov (United States)

    Payr, A; Birnbaum, J; Wildgruber, A; Kreichauf, S; Androutsos, O; Lateva, M; De Decker, E; De Craemer, M; Iotova, V; Manios, Y; Koletzko, B

    2014-08-01

    The key person for the implementation of kindergarten-based behavioural interventions is the kindergarten teacher. When conducting intervention studies in kindergartens, training sessions are needed to train and motivate kindergarten teachers for programme implementation. This paper presents the systematic development of the teachers' trainings executed in the ToyBox-intervention - a kindergarten-based and family-involved obesity prevention programme for children aged 4-6. Based on concepts for the education of kindergarten teachers, on general strategies for successful programme implementation and on the ToyBox programme-specific requirements, the aims of the teachers' trainings were defined and an overall concept was deduced. Regarding the concept for the ToyBox teachers' training sessions, it is concluded that the training modules should focus on presenting information on the practical implementation of the intervention. Furthermore, these modules should also include self-efficacy enhancing components and should give kindergarten teachers opportunities to share experiences. Regarding the didactic methods applied in the ToyBox teachers' training sessions, constructivist learning approaches that facilitate active participation, reflective thinking and personal involvement were implemented. Emphasis was put not only on the content but especially on the didactic methods of teachers' trainings in order to enhance devotion to, and quality and sustainability of the ToyBox-intervention. PMID:25047377

  10. Neural and Neural Gray-Box Modeling for Entry Temperature Prediction in a Hot Strip Mill

    Science.gov (United States)

    Barrios, José Angel; Torres-Alvarado, Miguel; Cavazos, Alberto; Leduc, Luis

    2011-10-01

    In hot strip mills, initial controller set points have to be calculated before the steel bar enters the mill. Calculations rely on the good knowledge of rolling variables. Measurements are available only after the bar has entered the mill, and therefore they have to be estimated. Estimation of process variables, particularly that of temperature, is of crucial importance for the bar front section to fulfill quality requirements, and the same must be performed in the shortest possible time to preserve heat. Currently, temperature estimation is performed by physical modeling; however, it is highly affected by measurement uncertainties, variations in the incoming bar conditions, and final product changes. In order to overcome these problems, artificial intelligence techniques such as artificial neural networks and fuzzy logic have been proposed. In this article, neural network-based systems, including neural-based Gray-Box models, are applied to estimate scale breaker entry temperature, given its importance, and their performance is compared to that of the physical model used in plant. Several neural systems and several neural-based Gray-Box models are designed and tested with real data. Taking advantage of the flexibility of neural networks for input incorporation, several factors which are believed to have influence on the process are also tested. The systems proposed in this study were proven to have better performance indexes and hence better prediction capabilities than the physical models currently used in plant.

  11. Undulating periodization models for strength training & conditioning

    Directory of Open Access Journals (Sweden)

    A. Jiménez

    2009-01-01

    Full Text Available Periodized strength training refers to varying the training program at regular time intervals in an attempt to bring about optimal resistance gains. The main aim of this paper was to present a short review of the diferent aspects of training periodization and its effects with performance. as well as the differential effect of alternate periodization models on other populations, and specially the need for further research regarding the effectiveness of the undulating model as compared with the linear model. A focussed literature review reveals that most studies that examined strength training periodization utilized young males as their subject population, and the research has mainly focused on differences between periodized and non-periodized programs. Furthermore, the periodization training programs are designed and developed according to two different models: the linear model and the non-linear model. The Linear Model is characterized by high initial training volume and low and intensity. The Non-Linear Model enables variation in intensity and volume within each 7-10 day cycle by rotating different protocols to train various components of the neuromuscular system. The results showed at the scientific literature encourage researchers and exercise professionals to include non-linear (undulating periodization models during resistance training.

  12. The ionospheric source of magnetospheric plasma is not a black box input for global models

    Science.gov (United States)

    Welling, D. T.; Liemohn, M. W.

    2016-06-01

    Including ionospheric outflow in global magnetohydrodynamic models of near-Earth outer space has become an important step toward understanding the role of this plasma source in the magnetosphere. Of the existing approaches, however, few tie the outflowing particle fluxes to magnetospheric conditions in a self-consistent manner. Doing so opens the magnetosphere-ionosphere system to nonlinear mass-energy feedback loops, profoundly changing the behavior of the magnetosphere-ionosphere system. Based on these new results, it is time for the community eschew treating ionospheric outflow as a simple black box source of magnetospheric plasma.

  13. Investigation of Gaussian Processes and Random Forests as Surrogate Models for Evolutionary Black-Box Optimization

    Czech Academy of Sciences Publication Activity Database

    Bajer, Lukáš; Pitra, Z.; Holeňa, Martin

    New York: ACM, 2015 - (Silva, S.), s. 1351-1352 ISBN 978-1-4503-3488-4. [GECCO Companion '15. Genetic and Evolutionary Computation Conference. Madrid (ES), 11.07.2015-15.07.2015] R&D Projects: GA ČR GA13-17187S Grant ostatní: ČVUT(CZ) SGS14/205/OHK4/3T/14; GA MŠk(CZ) ED2.1.00/03.0078 Institutional support: RVO:67985807 Keywords : Black-box optimization * Surrogate model * Gaussian process * Random forest Subject RIV: IN - Informatics, Computer Science

  14. Model guided sampling optimization with gaussian processes for expensive black-box optimization

    Czech Academy of Sciences Publication Activity Database

    Bajer, Lukáš; Charypar, V.; Holeňa, Martin

    New York : ACM, 2013 - (Blum, C.), s. 1715-1716 ISBN 978-1-4503-1964-5. [GECCO 2013. Genetic and Evolutionary Computation Conference. Amsterdam (NL), 06.07.2013-10.07.2013] R&D Projects: GA ČR GAP202/11/1368; GA ČR GA13-17187S Grant ostatní: GA UK(CZ) 278511/2011; CTU(CZ) SGS12/196/OHK3/3T/14 Institutional support: RVO:67985807 Keywords : benchmarking * black-box optimization * modelling * gaussian processes Subject RIV: IN - Informatics, Computer Science

  15. Language Learning Strategies and Its Training Model

    Science.gov (United States)

    Liu, Jing

    2010-01-01

    This paper summarizes and reviews the literature regarding language learning strategies and it's training model, pointing out the significance of language learning strategies to EFL learners and an applicable and effective language learning strategies training model, which is beneficial both to EFL learners and instructors, is badly needed.

  16. The occupation of a box as a toy model for the seismic cycle of a fault

    CERN Document Server

    González, A; Pacheco, A F; Gonzalez, Alvaro; Gomez, Javier B.; Pacheco, Amalio F.

    2005-01-01

    In this paper we illustrate that simple statistical models can describe the quasi periodic occurrence of earthquakes in a seismic fault. With this aim, we idealize the loading of elastic energy in a fault with the stochastic filling of a box. The emptying of the box after its complete filling is analogous to the generation of a large earthquake, in which the fault relaxes after having been loaded to its failure threshold. The duration of that filling process is thus equivalent to the seismic cycle in the fault, i.e. the period elapsed between two successive large earthquakes in that fault. The simplicity of this model enables us to characterize the statistical distribution of the duration of its seismic cycle, its mean, standard deviation and aperiodicity. In order to compare the results with actual data, we use this distribution as a renewal model to fit the series of characteristic earthquakes, with magnitude around 6, which occurred at the Parkfield segment of the San Andreas fault in California. After ass...

  17. Identification of neomycin B-binding site in T box antiterminator model RNA.

    Science.gov (United States)

    Anupam, Rajaneesh; Denapoli, Leyna; Muchenditsi, Abigael; Hines, Jennifer V

    2008-04-15

    The T box transcription antitermination mechanism regulates the expression of unique genes in many Gram-positive bacteria by responding, in a magnesium-dependent manner, to uncharged cognate tRNA base pairing with an antiterminator RNA element and other regions of the 5'-untranslated region. Model T box antiterminator RNA is known to bind aminoglycosides, ligands that typically bind RNA in divalent metal ion-binding sites. In this study, enzymatic footprinting and spectroscopic assays were used to identify and characterize the binding site of neomycin B to an antiterminator model RNA. Neomycin B binds the antiterminator bulge nucleotides in an electrostatic-dependent manner and displaces 3-4 monovalent cations, indicating that the antiterminator likely contains a divalent metal ion-binding site. Neomycin B facilitates rather than inhibits tRNA binding indicating that bulge-targeted inhibitors that bind the antiterminator via non-electrostatic interactions may be the more optimal candidates for antiterminator-targeted ligand design. PMID:18329274

  18. Delivery of the high-mobility group box 1 box A peptide using heparin in the acute lung injury animal models.

    Science.gov (United States)

    Song, Ji Hyun; Kim, Ji Yeon; Piao, Chunxian; Lee, Seonyeong; Kim, Bora; Song, Su Jeong; Choi, Joon Sig; Lee, Minhyung

    2016-07-28

    In this study, the efficacy of the high-mobility group box-1 box A (HMGB1A)/heparin complex was evaluated for the treatment of acute lung injury (ALI). HMGB1A is an antagonist against wild-type high-mobility group box-1 (wtHMGB1), a pro-inflammatory cytokine that is involved in ALIs. HMGB1A has positive charges and can be captured in the mucus layer after intratracheal administration. To enhance the delivery and therapeutic efficiency of HMGB1A, the HMGB1A/heparin complex was produced using electrostatic interactions, with the expectation that the nano-sized complex with a negative surface charge could efficiently penetrate the mucus layer. Additionally, heparin itself had an anti-inflammatory effect. Complex formation with HMGB1A and heparin was confirmed by atomic force microscopy. The particle size and surface charge of the HMGB1A/heparin complex at a 1:1 weight ratio were 113nm and -25mV, respectively. Intratracheal administration of the complex was performed into an ALI animal model. The results showed that the HMGB1A/heparin complex reduced pro-inflammatory cytokines, including tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6), and IL-1β, more effectively than HMGB1A or heparin alone. Hematoxylin and eosin staining confirmed the decreased inflammatory reaction in the lungs after delivery of the HMGB1A/heparin complex. In conclusion, the HMGB1A/heparin complex might be useful to treat ALI. PMID:27196743

  19. Research of inverse mathematical model to high-speed trains

    Institute of Scientific and Technical Information of China (English)

    朱涛; 肖守讷; 马卫华; 阳光武

    2014-01-01

    Operation safety and stability of the train mainly depend on the interaction between the wheel and rail. Knowledge of wheel/rail contact force is important for vehicle control systems that aim to enhance vehicle stability and passenger safety. Since wheel/rail contact forces of high-speed train are very difficult to measure directly, a new estimation process for wheel/rail contact forces was introduced in this work. Based on the state space equation, dynamic programming methods and the Bellman principle of optimality, the main theoretical derivation of the inversion mathematical model was given. The new method overcomes the weakness of large fluctuations which exist in current inverse techniques. High-speed vehicle was chosen as the research object, accelerations of axle box as input conditions, 10 degrees of freedom vertical vibration model and 17 degrees of freedom lateral vibration model were established, respectively. Under 250 km/h, the vertical and lateral wheel/rail forces were identified. From the time domain and frequency domain, the comparison of the results between inverse and SIMPACK models were given. The results show that the inverse mathematical model has high precision for inversing the wheel/rail contact forces of an operation high-speed vehicle.

  20. Marine Ecosystem Modeling Beyond the Box: Using GIS to Study Carbon Fluxes in a Coastal Ecosystem

    International Nuclear Information System (INIS)

    Studies of carbon fluxes in marine ecosystems are often done by using box model approaches with basin size boxes, or highly resolved 3D models, and an emphasis on the pelagic component of the ecosystem. Those approaches work well in the ocean proper, but can give rise to considerable problems when applied to coastal systems, because of the scale of certain ecological niches and the fact that benthic organisms are the dominant functional group of the ecosystem. In addition, 3D models require an extensive modeling effort. In this project, an intermediate approach based on a high resolution (20x20 m) GIS data-grid has been developed for the coastal ecosystem in the Laxemar area (Baltic Sea, Sweden) based on a number of different site investigations. The model has been developed in the context of a safety assessment project for a proposed nuclear waste repository, in which the fate of hypothetically released radionuclides from the planned repository is estimated. The assessment project requires not only a good understanding of the ecosystem dynamics at the site, but also quantification of stocks and flows of matter in the system. The data-grid was then used to set up a carbon budget describing the spatial distribution of biomass, primary production, net ecosystem production and thus where carbon sinks and sources are located in the area. From these results, it was clear that there was a large variation in ecosystem characteristics within the basins and, on a larger scale, that the inner areas are net producing and the outer areas net respiring, even in shallow phyto benthic communities. Benthic processes had a similar or larger influence on carbon fluxes as advective processes in inner areas, whereas the opposite appears to be true in the outer basins. As many radionuclides are expected to follow the pathways of organic matter in the environment, these findings enhance our abilities to realistically describe and predict their fate in the ecosystem

  1. Electroweak ZZjj production in the Standard Model and beyond in the POWHEG-BOX V2

    International Nuclear Information System (INIS)

    We present an implementation of electroweak ZZjj production in the POWHEG BOX V2 framework, an upgrade of the POWHEG BOX program which includes a number of new features that are particularly helpful for high-multiplicity processes. We consider leptonic and semi-leptonic decay modes of the Z bosons, and take non-resonant contributions and spin correlations of the final-state particles into account. In the case of decays to leptons, we also include interactions beyond the Standard Model that arise from an effective Lagrangian which includes CP conserving and violating operators up to dimension six. We find that while leptonic distributions are very sensitive to anomalous couplings, because of the small cross-section involved, these analyses are feasible only after a high-luminosity upgrade of the LHC. We consider the cases of a 14 TeV, 33 TeV and 100 TeV machine and discuss the limits that can be placed on those couplings for different luminosities

  2. Flux tube train model for local turbulence simulation of toroidal plasmas

    International Nuclear Information System (INIS)

    A new simulation method for local turbulence in toroidal plasmas is developed by extending the conventional idea of the flux tube model. In the new approach, a train of flux tubes is employed, where flux tube simulation boxes are serially connected at each end along a field line so as to preserve a symmetry of the local gyrokinetic equations for image modes in an axisymmetric torus. Validity of the flux tube train model is confirmed against the toroidal ion temperature gradient turbulence for a case with a long parallel correlation of fluctuations, demonstrating numerical advantages over the conventional method in the time step size and the symmetry-preserving property

  3. A Better Model for Management Training

    Science.gov (United States)

    Bobele, H. Kenneth; Buchanan, Peter J.

    1976-01-01

    Greater precision in appraising training needs, greater clarity in defining training objectives, and an emphasis on a practical, skills-oriented approach to management development can result from using Henry Mintzberg's model which describes managerial work in terms of 6 job characteristics and 10 interpersonal, informational, or decisional roles.…

  4. A TRAINING MODEL FOR THE JOBLESS ADULT.

    Science.gov (United States)

    ULRICH, BERNARD

    THE TRAINING SYSTEMS DESIGN, AN INTERDISCIPLINARY APPROACH UTILIZING KNOWLEDGE OF BEHAVIORAL SCIENCES, NEW INSTRUCTIONAL TECHNOLOGY, AND SYSTEMS DESIGN, HAS BEEN APPLIED TO DEVELOP A MODEL FOR RE-EDUCATING AND TRAINING THE AGING UNEMPLOYED. RESEARCH INTO EXISTING MDTA DEMONSTRATION PROGRAMS BY THE COOPERATIVE EFFORTS OF MCGRAW-HILL AND THE…

  5. Time-series analysis with a hybrid Box-Jenkins ARIMA and neural network model

    Institute of Scientific and Technical Information of China (English)

    Dilli R Aryal; WANG Yao-wu(王要武)

    2004-01-01

    Time-series analysis is important to a wide range of disciplines transcending both the physical and social sciences for proactive policy decisions. Statistical models have sound theoretical basis and have been successfully used in a number of problem domains in time series forecasting. Due to power and flexibility, Box-Jenkins ARIMA model has gained enormous popularity in many areas and research practice for the last three decades.More recently, the neural networks have been shown to be a promising alternative tool for modeling and forecasting owing to their ability to capture the nonlinearity in the data. However, despite the popularity and the superiority of ARIMA and ANN models, the empirical forecasting performance has been rather mixed so that no single method is best in every situation. In this study, a hybrid ARIMA and neural networks model to time series forecasting is proposed. The basic idea behind the model combination is to use each model's unique features to capture different patterns in the data. With three real data sets, empirical results evidently show that the hybrid model outperforms ARIMA and ANN model noticeably in terms of forecasting accuracy used in isolation.

  6. The model of local mode analysis for structural acoustics of box structures

    Science.gov (United States)

    Ngai, King-Wah

    Structure-borne noise is a new noise pollution problem emerging from railway concrete box structures in Hong Kong. Its low frequency noise with intermittent effect can cause considerable nuisance to neighborhoods. The tonal noise peaks in this low frequency range should be one of the important factors in structure-borne noise analysis. In the acoustic field, the deterministic analysis of all the resonant modes of vibration is generally considered as not practical. Many acoustic experts use the statistical energy analysis as the main tool for the noise investigation whereas the application of the experimental modal analysis in the structural acoustic problem is comparatively rare. In the past, most studies mainly focused on the structure-borne noise measurement and analysis. The detail study of the cause of structure-borne noise is lack, especially for the rectangular concrete box structure. In this dissertation, an experimental and analytical approach is adopted to study a typical concrete box model. This thesis aims at confirming the importance of modal analysis in the structure-borne noise study and then at identifying the local vibration modes along the cross-section of box structure. These local modes are responsible for the structure-borne noise radiation. The findings of this study suggest that the web of viaduct cross-section is not as rigid as assumed in the conventional viaduct design and the web face is likely to be more flexible in the vertical displacement of the concrete viaduct. Two types of local vibration modes along the cross-section are identified: the centre mode and the web mode. At the top panel of the viaduct, the centre mode has movement in the middle but not at the edges. The web mode has movement at the edges with the middle fixed. The combined centre and web mode has been found to be important in the structural acoustics of the concrete box structure. In the actual concrete viaduct, the coincidence frequency is especially low (often around

  7. An Enhanced Box-Wing Solar Radiation pressure model for BDS and initial results

    Science.gov (United States)

    Zhao, Qunhe; Wang, Xiaoya; Hu, Xiaogong; Guo, Rui; Shang, Lin; Tang, Chengpan; Shao, Fan

    2016-04-01

    Solar radiation pressure forces are the largest non-gravitational perturbations acting on GNSS satellites, which is difficult to be accurately modeled due to the complicated and changing satellite attitude and unknown surface material characteristics. By the end of 2015, there are more than 50 stations of the Multi-GNSS Experiment(MGEX) set-up by the IGS. The simple box-plate model relies on coarse assumptions about the dimensions and optical properties of the satellite due to lack of more detailed information. So, a physical model based on BOX-WING model is developed, which is more sophisticated and more detailed physical structure has been taken into account, then calculating pressure forces according to the geometric relations between light rays and surfaces. All the MGEX stations and IGS core stations had been processed for precise orbit determination tests with GPS and BDS observations. Calculation range covers all the two kinds of Eclipsing and non-eclipsing periods in 2015, and we adopted the un-differential observation mode and more accurate values of satellite phase centers. At first, we tried nine parameters model, and then eliminated the parameters with strong correlation between them, came into being five parameters of the model. Five parameters were estimated, such as solar scale, y-bias, three material coefficients of solar panel, x-axis and z-axis panels. Initial results showed that, in the period of yaw-steering mode, use of Enhanced ADBOXW model results in small improvement for IGSO and MEO satellites, and the Root-Mean-Square(RMS) error value of one-day arc orbit decreased by about 10%~30% except for C08 and C14. The new model mainly improved the along track acceleration, up to 30% while in the radial track was not obvious. The Satellite Laser Ranging(SLR) validation showed, however, that this model had higher prediction accuracy in the period of orbit-normal mode, compared to GFZ multi-GNSS orbit products, as well with relative post

  8. FerryBox within the Coastal Observatory COSYNA: Examples of observations and potential benefit for data assimilation in hydrodynamic models

    Science.gov (United States)

    Petersen, W.; Staneva, J.; Grayek, S.; Schulz-Stellenfleth, J.; Stanev, E.

    2012-04-01

    The aim of the Coastal Observation System for Northern and Arctic Seas (COSYNA) is to obtain a synoptic description of the key state variables of coastal seas and their physical, chemical and ecological drivers and responses in the German Bight (North Sea). The system consists of a network of in situ observations, remote sensing, and coastal predictions systems. The modules of in-situ measurements will be briefly described. One of these major components for continuous observations are FerryBox systems aboard different types of ships as well as at fixed stations on shore. The long-term experiences with FerryBox systems for monitoring typical coastal processes will be presented by means of examples of observation. The benefit of FerryBox data compared to other observations will be critical assessed. Short term processes such as algal blooms or freshwater intrusions with subsequent higher nutrient loads at certain locations can be successfully monitored due to the high density of FerryBox measurements in space and time. From the same reason FerryBox data can be ideally combined with hydrodynamic models using data assimilation techniques. The potential of FerryBox sea surface temperature (SST) and salinity (SSS) measurements for the improvement of model state estimates in the German Bight will be shown critically assessed. Model-data comparison shows that the reanalysis produced by data assimilation fairly well represents the physical properties in the German Bight. The overall root-mean-square errors between temperature and salinity fields of reanalysis and observation are significantly reduced after the assimilation of the FerryBox data. Furthermore, seasonal variation in temperature is well reproduced and the predicted synoptic variation is significantly correlated with its counterpart from the mooring measured temperature.

  9. Modeling of flow dynamics in layered groundwater system: Comparative evaluation of black box and numerical approaches

    International Nuclear Information System (INIS)

    The numerical flow and transport models are used to calculate the streamline distribution in the aquifer and the tracer concentration in the outflow from the system for the groundwater aquifer consists of parallel layers with different hydraulic conductivity. Infiltration takes place through the whole aquifer surface and the aquifer is drainaged by the river (constant head). Using the streamline distribution calculated using numerical model of water flow, the distribution of the transit time of water particle through the aquifer is constructed. These distribution functions calculated for different imagine aquifers are compared with the well known distribution functions of Black-Box-Model (BBM) approach. In that way it was found which of BBM functions approximates the real hydrological situation with the best accuracy. It was also found the relation of the mean transit time of water to the aquifer parameters. Additionally, the numerical transport model was applied for the continuous injection of ideal tracer through the aquifer surface and the calculated weighted concentrations found for the outflow (river) were taken into BBM modeling. It was found which BBM model can be calibrated to the observed output concentrations and what is the value of the mean transit time of water through the aquifer. The aquifer parameters obtained by applying distribution functions to the numerical modeling of water flow and by applying BBM to the transport modeling, are compared with the real parameters of the aquifers being considered. (author)

  10. Why the Particle-in-a-Box Model Works Well for Cyanine Dyes but Not for Conjugated Polyenes

    Science.gov (United States)

    Autschbach, Jochen

    2007-01-01

    We investigate why the particle-in-a-box (PB) model works well for calculating the absorption wavelengths of cyanine dyes and why it does not work for conjugated polyenes. The PB model is immensely useful in the classroom, but owing to its highly approximate character there is little reason to expect that it can yield quantitative agreement with…

  11. Probabilistic Analysis of Onion Routing in a Black-box Model

    CERN Document Server

    Feigenbaum, Joan; Syverson, Paul

    2011-01-01

    We perform a probabilistic analysis of onion routing. The analysis is presented in a black-box model of anonymous communication in the Universally Composable framework that abstracts the essential properties of onion routing in the presence of an active adversary that controls a portion of the network and knows all a priori distributions on user choices of destination. Our results quantify how much the adversary can gain in identifying users by exploiting knowledge of their probabilistic behavior. In particular, we show that, in the limit as the network gets large, a user u's anonymity is worst either when the other users always choose the destination u is least likely to visit or when the other users always choose the destination u chooses. This worst-case anonymity with an adversary that controls a fraction b of the routers is shown to be comparable to the best-case anonymity against an adversary that controls a fraction \\surdb.

  12. Geochemical monitoring of volcanic lakes. A generalized box model for active crater lakes

    Directory of Open Access Journals (Sweden)

    Franco Tassi

    2011-06-01

    Full Text Available

    In the past, variations in the chemical contents (SO42−, Cl−, cations of crater lake water have not systematically demonstrated any relationships with eruptive activity. Intensive parameters (i.e., concentrations, temperature, pH, salinity should be converted into extensive parameters (i.e., fluxes, changes with time of mass and solutes, taking into account all the internal and external chemical–physical factors that affect the crater lake system. This study presents a generalized box model approach that can be useful for geochemical monitoring of active crater lakes, as highly dynamic natural systems. The mass budget of a lake is based on observations of physical variations over a certain period of time: lake volume (level, surface area, lake water temperature, meteorological precipitation, air humidity, wind velocity, input of spring water, and overflow of the lake. This first approach leads to quantification of the input and output fluxes that contribute to the actual crater lake volume. Estimating the input flux of the "volcanic" fluid (Qf- kg/s –– an unmeasurable subsurface parameter –– and tracing its variations with time is the major focus during crater lake monitoring. Through expanding the mass budget into an isotope and chemical budget of the lake, the box model helps to qualitatively characterize the fluids involved. The (calculated Cl− content and dD ratio of the rising "volcanic" fluid defines its origin. With reference to continuous monitoring of crater lakes, the present study provides tips that allow better calculation of Qf in the future. At present, this study offers the most comprehensive and up-to-date literature review on active crater lakes.

  13. Real-time process optimization based on grey-box neural models

    Directory of Open Access Journals (Sweden)

    F. A. Cubillos

    2007-09-01

    Full Text Available This paper investigates the feasibility of using grey-box neural models (GNM in Real Time Optimization (RTO. These models are based on a suitable combination of fundamental conservation laws and neural networks, being used in at least two different ways: to complement available phenomenological knowledge with empirical information, or to reduce dimensionality of complex rigorous physical models. We have observed that the benefits of using these simple adaptable models are counteracted by some difficulties associated with the solution of the optimization problem. Nonlinear Programming (NLP algorithms failed in finding the global optimum due to the fact that neural networks can introduce multimodal objective functions. One alternative considered to solve this problem was the use of some kind of evolutionary algorithms, like Genetic Algorithms (GA. Although these algorithms produced better results in terms of finding the appropriate region, they took long periods of time to reach the global optimum. It was found that a combination of genetic and nonlinear programming algorithms can be use to fast obtain the optimum solution. The proposed approach was applied to the Williams-Otto reactor, considering three different GNM models of increasing complexity. Results demonstrated that the use of GNM models and mixed GA/NLP optimization algorithms is a promissory approach for solving dynamic RTO problems.

  14. Some ways for selection and assessment of loads training under the energy criterion in the amateur boxing

    OpenAIRE

    Bushati Sead; Bushati Marsida

    2015-01-01

    The research reflects an experimentation process in the implementation of training loads in “SK Tirana” team boxers, that was proclaimed “national champion” in Albania for one-year period: December 2013 to December 2014. The purpose of this research is the selection and sequencing of training loads based on criteria of energy mechanisms. As well their evaluation and distribution on the basis of special formulas that provide a systematic training process continuity and accelerate the growth of...

  15. Computational modelling of six speed hybrid gear box and its simulation using Simulinkas an interactive tool of MATLAB

    Directory of Open Access Journals (Sweden)

    Devesh Ramphal Upadhyay

    2016-02-01

    Full Text Available The paper introduces an idea which adds itself into contribution of getting best fuel economy of a passenger car when it is running at high speed on a highway. A six speed (forward gear box is addressed in the paper which is controlled manually and automatically as well. The paper introduces an advancement in manual transmission gear box for passenger cars. Hydraulic circuit is designed with mechatronics point of view and resulting in making the shifting of gear automatically. A computational design is made of the Hybrid Gear Box (HGB using CATIA P3 V5 as a designing software. A new gear meshing in 5 speed manual transmission gear box which synchronizes with the output shaft of the transmission automatically after getting command by the automated system designed. Parameters are considered on the basis of practical model and is been simulated by using Simdriveline as the Simulink tool of MATLAB r2010a. The mechanical properties of the components of the hybrid gear box is calculated on the basis of the functional parameters and with help of the fundamental and dependent properties formulation. The final result is the graphical analysis of the model forobtaining at least 15% fuel efficient than any of the vehicle of same configurations.

  16. Effect of material uncertainties on dynamic response of segmental box girder bridge

    OpenAIRE

    Suchart Limkatanyu; Kittisak Kuntiyawichai

    2007-01-01

    The main objective of this paper was to investigate the effect of material uncertainties on dynamic response of segmental box girder bridge subjected to a moving load, in this case a rapid passing trains. Literatures concerned with the design of segmental box girder bridge, the application of finite element analysis to model the segmental box girder bridge, and the minimum requirement for structural conditions of the bridge were described and discussed in detail. A series of finite element a...

  17. Developing a Successful Open Source Training Model

    Directory of Open Access Journals (Sweden)

    Belinda Lopez

    2010-01-01

    Full Text Available Training programs for open source software provide a tangible, and sellable, product. A successful training program not only builds revenue, it also adds to the overall body of knowledge available for the open source project. By gathering best practices and taking advantage of the collective expertise within a community, it may be possible for a business to partner with an open source project to build a curriculum that promotes the project and supports the needs of the company's training customers. This article describes the initial approach used by Canonical, the commercial sponsor of the Ubuntu Linux operating system, to engage the community in the creation of its training offerings. We then discuss alternate curriculum creation models and some of the conditions that are necessary for successful collaboration between creators of existing documentation and commercial training providers.

  18. Training Groups: A Basic Life Cycle Model.

    Science.gov (United States)

    Chadbourne, Joan

    1980-01-01

    Describes group training model that differs from the traditional T-group model in structure, leadership, and assumptions about learning. The life-cycle model is based on situational leadership, differential structures based on group maturity, and integration of conceptual and experiential learning. (Author)

  19. Into the Square and out of the Box: The effects of Quadrato Motor Training on Creativity and Alpha Coherence

    Science.gov (United States)

    Dotan Ben-Soussan, Tal; Glicksohn, Joseph; Goldstein, Abraham; Berkovich-Ohana, Aviva; Donchin, Opher

    2013-01-01

    The objective of the present study was to investigate the body-cognitive relationship through behavioral and electrophysiological measures in an attempt to uncover the underlying mediating neuronal mechanism for movement-induced cognitive change. To this end we examined the effects of Quadrato Motor Training (QMT), a new whole-body training paradigm on cognitive performance, including creativity and reaction time tasks, and electrophysiological change, using a within-subject pre-post design. Creativity was studied by means of the Alternate Uses Task, measuring ideational fluency and ideational flexibility. Electrophysiological effects were measured in terms of alpha power and coherence. In order to determine whether training-induced changes were driven by the cognitive or the motor aspects of the training, we used two control groups: Verbal Training (VT, identical cognitive training with verbal response) and Simple Motor Training (SMT, similar motor training with reduced choice requirements). Twenty-seven participants were randomly assigned to one of the groups. Following QMT, we found enhanced inter-hemispheric and intra-hemispheric alpha coherence, and increased ideational flexibility, which was not the case for either the SMT or VT groups. These findings indicate that it is the combination of the motor and cognitive aspects embedded in the QMT which is important for increasing ideational flexibility and alpha coherence. PMID:23383043

  20. MODEL OF TRAINING OF SUCCESS IN LIFE

    Directory of Open Access Journals (Sweden)

    Екатерина Александровна Лежнева

    2014-04-01

    Full Text Available The article explains the importance of the development of motive to succeed in adolescence. It is determined the value of the motive to achieve success in the further development of the teenager: a motive to achieve effective internal forces mobilized for the implementation of successful operation ensures the active involvement of teenagers in social and interpersonal relationships. As the primary means of motive development success is considered training. The author provides a definition of "training for success in life," creates a model of training for success in life, and describes its units (targeted, informative, technological, productive, reveals the successful development of the technology life strategy used during the training (self-presentation, targets, incentives, subject-orientation. The author pays attention to the need for a future psychologist to develop teenagers’ motive to achieve success through the mastery of competence in constructing a model of training for success in life, and its implementation in the course of professional activities. The main means of training students of psychology to the use of training success in life identified the additional educational programs and psychological section.DOI: http://dx.doi.org/10.12731/2218-7405-2013-9-77

  1. Automatic Black-Box Model Order Reduction using Radial Basis Functions

    Energy Technology Data Exchange (ETDEWEB)

    Stephanson, M B; Lee, J F; White, D A

    2011-07-15

    Finite elements methods have long made use of model order reduction (MOR), particularly in the context of fast freqeucny sweeps. In this paper, we discuss a black-box MOR technique, applicable to a many solution methods and not restricted only to spectral responses. We also discuss automated methods for generating a reduced order model that meets a given error tolerance. Numerical examples demonstrate the effectiveness and wide applicability of the method. With the advent of improved computing hardware and numerous fast solution techniques, the field of computational electromagnetics are progressed rapidly in terms of the size and complexity of problems that can be solved. Numerous applications, however, require the solution of a problem for many different configurations, including optimization, parameter exploration, and uncertainly quantification, where the parameters that may be changed include frequency, material properties, geometric dimensions, etc. In such cases, thousands of solutions may be needed, so solve times of even a few minutes can be burdensome. Model order reduction (MOR) may alleviate this difficulty by creating a small model that can be evaluated quickly. Many MOR techniques have been applied to electromagnetic problems over the past few decades, particularly in the context of fast frequency sweeps. Recent works have extended these methods to allow more than one parameter and to allow the parameters to represent material and geometric properties. There are still limitations with these methods, however. First, they almost always assume that the finite element method is used to solve the problem, so that the system matrix is a known function of the parameters. Second, although some authors have presented adaptive methods (e.g., [2]), the order of the model is often determined before the MOR process begins, with little insight about what order is actually needed to reach the desired accuracy. Finally, it not clear how to efficiently extend most

  2. Development of an analytical model for predicting the performance behaviour of passive box type catalytic recombiner for H2 mitigation

    International Nuclear Information System (INIS)

    Full text: Among the several methodologies for mitigating the consequences of release of H2 in the containments of NPPs, the one based on passive catalytic recombination with O2 in air is being considered for its application world over. Series of experimental studies for the development of hydrogen mitigation system based on passive box-type catalytic recombiner were conducted in HYMIS test facility at BARC. As a part of back-up to these studies, a computer code BOXCAT for predicting the performance of the convective box type recombiner has been successfully developed at BARC. Some of the salient features of the developed code are : (a) representation of catalytic oxidation reaction by the Arrhenius rate equation. (b) the heat dissipation to the surrounding gas by natural/forced convection and that to the structure by radiation, (c) momentum equation to calculate the buoyancy driven gas flow through the box assuming the entire box as a one-dimensional junction across which the gas mixture accelerates due to net forces acting across the junction and (d) a suitable model to calculate the lumped loss coefficient of the box. The code has been successfully validated against the performance behaviour data of Siemens recombiner for dry conditions as well as against the in-house data generated in HYMIS test facility at BARC. The code is presently capable of handling only dry H2 air mixture (without steam). The validated code has been subsequently used to optimize the design of the new prototype recombiner

  3. Models of innovative corporate training

    DEFF Research Database (Denmark)

    Ulhøi, John Parm; Madsen, Henning

    2000-01-01

    new practises that will put less pressure on the environment while at the same time earning money will require innovative approaches, which in turn will translate into new and/or further developed competencies and skills to ensure a successful implementation of such activities. The role of education...... responsibility in the late 1980s and started to develop new strategic approaches to deal with environmental problems. Others, SMEs as well, followed suit in the 1990s. On these grounds a research project was initiated to further investigate the extent to which present training and education offered to managers...... at top-, middle and lower level reflected the needs of such managers. Data have been gathered from six European countries of all three managerial levels during 1993-98. An interesting and unexpected 'by-product' from this study is that the environmental topic, in many respects, seems to have resulted...

  4. Combining physical and virtual contexts through augmented reality: design and evaluation of a prototype using a drug box as a marker for antibiotic training.

    Science.gov (United States)

    Nifakos, Sokratis; Tomson, Tanja; Zary, Nabil

    2014-01-01

    Introduction. Antimicrobial resistance is a global health issue. Studies have shown that improved antibiotic prescription education among healthcare professionals reduces mistakes during the antibiotic prescription process. The aim of this study was to investigate novel educational approaches that through the use of Augmented Reality technology could make use of the real physical context and thereby enrich the educational process of antibiotics prescription. The objective is to investigate which type of information related to antibiotics could be used in an augmented reality application for antibiotics education. Methods. This study followed the Design-Based Research Methodology composed of the following main steps: problem analysis, investigation of information that should be visualized for the training session, and finally the involvement of the end users the development and evaluation processes of the prototype. Results. Two of the most important aspects in the antibiotic prescription process, to represent in an augmented reality application, are the antibiotic guidelines and the side effects. Moreover, this study showed how this information could be visualized from a mobile device using an Augmented Reality scanner and antibiotic drug boxes as markers. Discussion. In this study we investigated the usage of objects from a real physical context such as drug boxes and how they could be used as educational resources. The logical next steps are to examine how this approach of combining physical and virtual contexts through Augmented Reality applications could contribute to the improvement of competencies among healthcare professionals and its impact on the decrease of antibiotics resistance. PMID:25548733

  5. Combining physical and virtual contexts through augmented reality: design and evaluation of a prototype using a drug box as a marker for antibiotic training

    Directory of Open Access Journals (Sweden)

    Sokratis Nifakos

    2014-12-01

    Full Text Available Introduction. Antimicrobial resistance is a global health issue. Studies have shown that improved antibiotic prescription education among healthcare professionals reduces mistakes during the antibiotic prescription process. The aim of this study was to investigate novel educational approaches that through the use of Augmented Reality technology could make use of the real physical context and thereby enrich the educational process of antibiotics prescription. The objective is to investigate which type of information related to antibiotics could be used in an augmented reality application for antibiotics education. Methods. This study followed the Design-Based Research Methodology composed of the following main steps: problem analysis, investigation of information that should be visualized for the training session, and finally the involvement of the end users the development and evaluation processes of the prototype. Results. Two of the most important aspects in the antibiotic prescription process, to represent in an augmented reality application, are the antibiotic guidelines and the side effects. Moreover, this study showed how this information could be visualized from a mobile device using an Augmented Reality scanner and antibiotic drug boxes as markers. Discussion. In this study we investigated the usage of objects from a real physical context such as drug boxes and how they could be used as educational resources. The logical next steps are to examine how this approach of combining physical and virtual contexts through Augmented Reality applications could contribute to the improvement of competencies among healthcare professionals and its impact on the decrease of antibiotics resistance.

  6. Finite element model updating of a prestressed concrete box girder bridge using subproblem approximation

    Science.gov (United States)

    Chen, G. W.; Omenzetter, P.

    2016-04-01

    This paper presents the implementation of an updating procedure for the finite element model (FEM) of a prestressed concrete continuous box-girder highway off-ramp bridge. Ambient vibration testing was conducted to excite the bridge, assisted by linear chirp sweepings induced by two small electrodynamic shakes deployed to enhance the excitation levels, since the bridge was closed to traffic. The data-driven stochastic subspace identification method was executed to recover the modal properties from measurement data. An initial FEM was developed and correlation between the experimental modal results and their analytical counterparts was studied. Modelling of the pier and abutment bearings was carefully adjusted to reflect the real operational conditions of the bridge. The subproblem approximation method was subsequently utilized to automatically update the FEM. For this purpose, the influences of bearing stiffness, and mass density and Young's modulus of materials were examined as uncertain parameters using sensitivity analysis. The updating objective function was defined based on a summation of squared values of relative errors of natural frequencies between the FEM and experimentation. All the identified modes were used as the target responses with the purpose of putting more constrains for the optimization process and decreasing the number of potentially feasible combinations for parameter changes. The updated FEM of the bridge was able to produce sufficient improvements in natural frequencies in most modes of interest, and can serve for a more precise dynamic response prediction or future investigation of the bridge health.

  7. Quantifying atmospheric transport, chemistry, and mixing using a new trajectory-box model and a global atmospheric-chemistry GCM

    Directory of Open Access Journals (Sweden)

    H. Riede

    2009-12-01

    Full Text Available We present a novel method for the quantification of transport, chemistry, and mixing along atmospheric trajectories based on a consistent model hierarchy. The hierarchy consists of the new atmospheric-chemistry trajectory-box model CAABA/MJT and the three-dimensional (3-D global ECHAM/MESSy atmospheric-chemistry (EMAC general circulation model. CAABA/MJT employs the atmospheric box model CAABA in a configuration using the atmospheric-chemistry submodel MECCA (M, the photochemistry submodel JVAL (J, and the new trajectory submodel TRAJECT (T, to simulate chemistry along atmospheric trajectories, which are provided offline. With the same chemistry submodels coupled to the 3-D EMAC model and consistent initial conditions and physical parameters, a unique consistency between the two models is achieved. Since only mixing processes within the 3-D model are excluded from the model consistency, comparisons of results from the two models allow to separate and quantify contributions of transport, chemistry, and mixing along the trajectory pathways. Consistency of transport between the trajectory-box model CAABA/MJT and the 3-D EMAC model is achieved via calculation of kinematic trajectories based on 3-D wind fields from EMAC using the trajectory model LAGRANTO. The combination of the trajectory-box model CAABA/MJT and the trajectory model LAGRANTO can be considered as a Lagrangian chemistry-transport model (CTM moving isolated air parcels. The procedure for obtaining the necessary statistical basis for the quantification method is described as well as the comprehensive diagnostics with respect to chemistry.

    The quantification method presented here allows to investigate the characteristics of transport, chemistry, and mixing in a grid-based 3-D model. The analysis of chemical processes within the trajectory-box model CAABA/MJT is easily extendable to include, for example, the impact of different transport pathways or of mixing processes onto

  8. Modeling and new equipment definition for the vibration isolation box equipment system

    Science.gov (United States)

    Sani, Robert L.

    1993-01-01

    Our MSAD-funded research project is to provide numerical modeling support for the VIBES (Vibration Isolation Box Experiment System) which is an IML2 flight experiment being built by the Japanese research team of Dr. H. Azuma of the Japanese National Aerospace Laboratory. During this reporting period, the following have been accomplished: A semi-consistent mass finite element projection algorithm for 2D and 3D Boussinesq flows has been implemented on Sun, HP And Cray Platforms. The algorithm has better phase speed accuracy than similar finite difference or lumped mass finite element algorithms, an attribute which is essential for addressing realistic g-jitter effects as well as convectively-dominated transient systems. The projection algorithm has been benchmarked against solutions generated via the commercial code FIDAP. The algorithm appears to be accurate as well as computationally efficient. Optimization and potential parallelization studies are underway. Our implementation to date has focused on execution of the basic algorithm with at most a concern for vectorization. The initial time-varying gravity Boussinesq flow simulation is being set up. The mesh is being designed and the input file is being generated. Some preliminary 'small mesh' cases will be attempted on our HP9000/735 while our request to MSAD for supercomputing resources is being addressed. The Japanese research team for VIBES was visited, the current set up and status of the physical experiment was obtained and ongoing E-Mail communication link was established.

  9. The Y-Box Binding Protein 1 Suppresses Alzheimer's Disease Progression in Two Animal Models.

    Directory of Open Access Journals (Sweden)

    N V Bobkova

    Full Text Available The Y-box binding protein 1 (YB-1 is a member of the family of DNA- and RNA binding proteins. It is involved in a wide variety of DNA/RNA-dependent events including cell proliferation and differentiation, stress response, and malignant cell transformation. Previously, YB-1 was detected in neurons of the neocortex and hippocampus, but its precise role in the brain remains undefined. Here we show that subchronic intranasal injections of recombinant YB-1, as well as its fragment YB-11-219, suppress impairment of spatial memory in olfactory bulbectomized (OBX mice with Alzheimer's type degeneration and improve learning in transgenic 5XFAD mice used as a model of cerebral amyloidosis. YB-1-treated OBX and 5XFAD mice showed a decreased level of brain β-amyloid. In OBX animals, an improved morphological state of neurons was revealed in the neocortex and hippocampus; in 5XFAD mice, a delay in amyloid plaque progression was observed. Intranasally administered YB-1 penetrated into the brain and could enter neurons. In vitro co-incubation of YB-1 with monomeric β-amyloid (1-42 inhibited formation of β-amyloid fibrils, as confirmed by electron microscopy. This suggests that YB-1 interaction with β-amyloid prevents formation of filaments that are responsible for neurotoxicity and neuronal death. Our data are the first evidence for a potential therapeutic benefit of YB-1 for treatment of Alzheimer's disease.

  10. Numerical study on the ozone formation inside street canyons using a chemistry box model

    Institute of Scientific and Technical Information of China (English)

    Chun-Ho Liu; Dennis Y. C. Leung

    2008-01-01

    Tropospheric ozone is a secondary air pollutant produced in the presence of nitrogen oxides, volatile organic compounds (VOCs), and solar radiation. In an urban environment, ground-level vehicular exhaust is the major anthropogenic source of ozone precursors. In the cases of street canyons, pollutant dilution is weakened by the surrounding buildings that create localized high concentration of nitrogen oxides and VOCs, and thus leads to high potential of ozone formation. By considering the major physical and chemical processes, a chemistry box model is employed to investigate the characteristics of ozone formation due to vehicular exhaust inside street canyons under the worst case scenario, i.e. the calm wind condition. It is found that a high level of ozone concentration, of the order of 100 ppbv and higher, would occur inside the street canyons, in particular, when the emission rate (concentration) ratio of VOCs to nitrogen oxides is greater than 10. This elevated ozone concentration appears at the transition from VOCs to nitrogen oxides sensitivity and may extend to a few hundreds.

  11. A multi-variable box model approach to the soft tissue carbon pump

    Directory of Open Access Journals (Sweden)

    A. M. de Boer

    2010-12-01

    Full Text Available The canonical question of which physical, chemical or biological mechanisms were responsible for oceanic uptake of atmospheric CO2 during the last glacial is yet unanswered. Insight from paleo-proxies has led to a multitude of hypotheses but none so far have been convincingly supported in three dimensional numerical modelling experiments. The processes that influence the CO2 uptake and export production are inter-related and too complex to solve conceptually while complex numerical models are time consuming and expensive to run which severely limits the combinations of mechanisms that can be explored. Instead, an intermediate inverse box model approach of the soft tissue pump is used here in which the whole parameter space is explored. The glacial circulation and biological production states are derived from these using proxies of glacial export production and the need to draw down CO2 into the ocean. We find that circulation patterns which explain glacial observations include reduced Antarctic Bottom Water formation and high latitude upwelling and mixing of deep water and to a lesser extent reduced equatorial upwelling. The proposed mechanism of CO2 uptake by an increase of eddies in the Southern Ocean, leading to a reduced residual circulation, is not supported. Regarding biological mechanisms, an increase in the nutrient utilization in either the equatorial regions or the northern polar latitudes can reduce atmospheric CO2 and satisfy proxies of glacial export production. Consistent with previous studies, CO2 is drawn down more easily through increased productivity in the Antarctic region than the sub-Antarctic, but that violates observations of lower export production there. The glacial states are more sensitive to changes in the circulation and less sensitive to changes in nutrient utilization rates than the interglacial states.

  12. A Parent Training Model for Toilet Training Children with Autism

    Science.gov (United States)

    Kroeger, K.; Sorensen, R.

    2010-01-01

    Background: Azrin & Foxx pioneered an intensive toilet training protocol for individuals with intellectual disability living in a residential setting. Since the development of the Rapid Toilet Training (RTT) protocol, many have replicated the efficacy, most notably in educational and outpatient treatment settings, but often training over longer…

  13. Engineering teacher training models and experiences

    Science.gov (United States)

    González-Tirados, R. M.

    2009-04-01

    Education Area, we renewed the programme, content and methodology, teaching the course under the name of "Initial Teacher Training Course within the framework of the European Higher Education Area". Continuous Training means learning throughout one's life as an Engineering teacher. They are actions designed to update and improve teaching staff, and are systematically offered on the current issues of: Teaching Strategies, training for research, training for personal development, classroom innovations, etc. They are activities aimed at conceptual change, changing the way of teaching and bringing teaching staff up-to-date. At the same time, the Institution is at the disposal of all teaching staff as a meeting point to discuss issues in common, attend conferences, department meetings, etc. In this Congress we present a justification of both training models and their design together with some results obtained on: training needs, participation, how it is developing and to what extent students are profiting from it.

  14. Constructing Agent Model for Virtual Training Systems

    Science.gov (United States)

    Murakami, Yohei; Sugimoto, Yuki; Ishida, Toru

    Constructing highly realistic agents is essential if agents are to be employed in virtual training systems. In training for collaboration based on face-to-face interaction, the generation of emotional expressions is one key. In training for guidance based on one-to-many interaction such as direction giving for evacuations, emotional expressions must be supplemented by diverse agent behaviors to make the training realistic. To reproduce diverse behavior, we characterize agents by using a various combinations of operation rules instantiated by the user operating the agent. To accomplish this goal, we introduce a user modeling method based on participatory simulations. These simulations enable us to acquire information observed by each user in the simulation and the operating history. Using these data and the domain knowledge including known operation rules, we can generate an explanation for each behavior. Moreover, the application of hypothetical reasoning, which offers consistent selection of hypotheses, to the generation of explanations allows us to use otherwise incompatible operation rules as domain knowledge. In order to validate the proposed modeling method, we apply it to the acquisition of an evacuee's model in a fire-drill experiment. We successfully acquire a subject's model corresponding to the results of an interview with the subject.

  15. Small Business Training Models for Community Growth.

    Science.gov (United States)

    Jellison, Holly M., Ed.

    Nine successful community college programs for small business management training are described in this report in terms of their college and economic context, purpose, offerings, delivery modes, operating and marketing strategies, community outreach, support services, faculty and staff, evaluation, and future directions. The model programs are…

  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. Librarians Outside The Box: Waterford Institute Of Technology's Library based Virtual Learning Environment (VLE) Training & Development Programme

    OpenAIRE

    Hegarty, Nora; Quinlan, Neil

    2006-01-01

    The article fits into the category of Case Study as defined by the Emerald Publishing Group : Describes actual interventions or experiences within organisations. May well be subjective and will not generally report on research. Purpose To outline the structure and development of a library based VLE training programme at WIT and to describe its origins, implementations and long-term goals. To explain why WIT Libraries was prepared to diversify from its traditional role and...

  18. Use of Box Simulators for Improving Intraoperative Laparoscopic Skills - An Essential Tool for the Surgeon in Training

    International Nuclear Information System (INIS)

    Objective: To compare the improvement of intraoperative laparoscopic skills by measuring GOALS score between residents who have undergone simulator training with those who have not received any simulator training. Study Design: A randomized controlled trial. Place and Duration of Study: Department of Surgery, Services Hospital, Lahore, from August 2013 to February 2014. Methodology: Thirty residents belonging to year 1, 2 and 3 were included in the study. They were randomly divided into 2 groups. Both groups had a baseline evaluation with GOALS score while performing dissection of gallbladder from liver bed during laparoscopic cholecystectomy. Group-A underwent formal training on simulators whereas group-B did not receive any formal training on simulators. After 6 months, a repeat evaluation was done again by measuring GOALS score while performing gallbladder dissection. Results: Baseline GOALS scores of both the groups were similar. Group-A baseline score was 7.66 ± 0.93 and group-B score was 7.46 ± 1.04 (p = 0.585). However repeat scores for group-A showed a significant improvement (an increase of 7.16 ± 1.48 to 14.76 ± 1.67, p < 0.001) from baseline scores. Residents in group-B improved their scores by 2.30 ± 0.99 to 9.76 ± 0.79 (p < 0.001). When inter group comparison was done the second score of group-A was significantly higher than that of group-B (14.76 ± 1.67 vs. 9.76 ± 0.79, p < 0.001). Inter-rater reliability was moderately significant (Kappa 0.540). (author)

  19. Adaptive model training system and method

    Energy Technology Data Exchange (ETDEWEB)

    Bickford, Randall L; Palnitkar, Rahul M; Lee, Vo

    2014-04-15

    An adaptive model training system and method for filtering asset operating data values acquired from a monitored asset for selectively choosing asset operating data values that meet at least one predefined criterion of good data quality while rejecting asset operating data values that fail to meet at least the one predefined criterion of good data quality; and recalibrating a previously trained or calibrated model having a learned scope of normal operation of the asset by utilizing the asset operating data values that meet at least the one predefined criterion of good data quality for adjusting the learned scope of normal operation of the asset for defining a recalibrated model having the adjusted learned scope of normal operation of the asset.

  20. Adaptive model training system and method

    Energy Technology Data Exchange (ETDEWEB)

    Bickford, Randall L; Palnitkar, Rahul M

    2014-11-18

    An adaptive model training system and method for filtering asset operating data values acquired from a monitored asset for selectively choosing asset operating data values that meet at least one predefined criterion of good data quality while rejecting asset operating data values that fail to meet at least the one predefined criterion of good data quality; and recalibrating a previously trained or calibrated model having a learned scope of normal operation of the asset by utilizing the asset operating data values that meet at least the one predefined criterion of good data quality for adjusting the learned scope of normal operation of the asset for defining a recalibrated model having the adjusted learned scope of normal operation of the asset.

  1. 'What Box?': behavioral, neuro-imaging, and training studies on the development of creative cognition in adolescence

    OpenAIRE

    Kleibeuker, Sietske Willemijn

    2016-01-01

    This thesis focused on the development of creative thinking across adolescence and into adulthood. To this end, a range of creativity tasks, both with and without an fMRI scanner, and before and after training paradigms has been used to ex¬amine both age- and experience-related effects on creative thinking performance during functional brain develop¬ment. Chapter 1 provides a theoretical background for the research described in chapters 2 to 6. In Chapter 2, developmental trajectories of crea...

  2. Impact of aircraft exhaust on the atmosphere. Box model studies and 3-D mesoscale numerical case studies of seasonal differences

    Energy Technology Data Exchange (ETDEWEB)

    Petry, H.; Ebel, A.; Franzkowiak, V.; Hendricks, J.; Lippert, E.; Moellhoff, M. [Koeln Univ. (Germany). Inst. fuer Geophysik und Meteorologie

    1997-12-31

    The impact of aircraft emissions released in the tropopause region on atmospheric trace gases as O{sub 3} or HNO{sub 3} is investigated by means of model studies. Special emphasis is drawn on seasonal effects. A box model is applied as well as a 3-D mesoscale chemistry transport model. These model studies show that the impact of aircraft emissions on ozone in the tropopause region is much stronger in summer than in late autumn with a difference of one order of magnitude. (author) 14 refs.

  3. Fitting Neuron Models to Spike Trains

    Science.gov (United States)

    Rossant, Cyrille; Goodman, Dan F. M.; Fontaine, Bertrand; Platkiewicz, Jonathan; Magnusson, Anna K.; Brette, Romain

    2011-01-01

    Computational modeling is increasingly used to understand the function of neural circuits in systems neuroscience. These studies require models of individual neurons with realistic input–output properties. Recently, it was found that spiking models can accurately predict the precisely timed spike trains produced by cortical neurons in response to somatically injected currents, if properly fitted. This requires fitting techniques that are efficient and flexible enough to easily test different candidate models. We present a generic solution, based on the Brian simulator (a neural network simulator in Python), which allows the user to define and fit arbitrary neuron models to electrophysiological recordings. It relies on vectorization and parallel computing techniques to achieve efficiency. We demonstrate its use on neural recordings in the barrel cortex and in the auditory brainstem, and confirm that simple adaptive spiking models can accurately predict the response of cortical neurons. Finally, we show how a complex multicompartmental model can be reduced to a simple effective spiking model. PMID:21415925

  4. Model for behavior observation training programs

    International Nuclear Information System (INIS)

    Continued behavior observation is mandated by ANSI/ANS 3.3. This paper presents a model for behavior observation training that is in accordance with this standard and the recommendations contained in US NRC publications. The model includes seventeen major topics or activities. Ten of these are discussed: Pretesting of supervisor's knowledge of behavior observation requirements, explanation of the goals of behavior observation programs, why behavior observation training programs are needed (legal and psychological issues), early indicators of emotional instability, use of videotaped interviews to demonstrate significant psychopathology, practice recording behaviors, what to do when unusual behaviors are observed, supervisor rationalizations for noncompliance, when to be especially vigilant, and prevention of emotional instability

  5. Prediction of PM 10 concentrations at urban traffic intersections using semi-empirical box modelling with instantaneous velocity and acceleration

    Science.gov (United States)

    He, Hong-di; Lu, Wei-Zhen; Xue, Yu

    2009-12-01

    At urban traffic intersections, vehicles frequently stop with idling engines during the red-light period and speed up rapidly during the green-light period. The changes of driving patterns (i.e., idle, acceleration, deceleration and cruising patterns) generally produce uncertain emission. Additionally, the movement of pedestrians and the influence of wind further result in the random dispersion of pollutants. It is, therefore, too complex to simulate the effects of such dynamics on the resulting emission using conventional deterministic causal models. For this reason, a modified semi-empirical box model for predicting the PM 10 concentrations on roadsides is proposed in this paper. The model constitutes three parts, i.e., traffic, emission and dispersion components. The traffic component is developed using a generalized force traffic model to obtain the instantaneous velocity and acceleration when vehicles move through intersections. Hence the distribution of vehicle emission in street canyon during the green-light period is calculated. Then the dispersion component is investigated using a semi-empirical box model combining average wind speed, box height and background concentrations. With these considerations, the proposed model is applied and evaluated using measured data at a busy traffic intersection in Mong Kok, Hong Kong. In order to test the performance of the model, two situations, i.e., the data sets within a sunny day and between two sunny days, were selected to examine the model performance. The predicted values are generally well coincident with the observed data during different time slots except several values are overestimated or underestimated. Moreover, two types of vehicles, i.e., buses and petrol cars, are separately taken into account in the study. Buses are verified to contribute most to the emission in street canyons, which may be useful in evaluating the impact of vehicle emissions on the ambient air quality when there is a significant change

  6. Spatial Reasoning Training Through Light Curves Of Model Asteroids

    Science.gov (United States)

    Ziffer, Julie; Nakroshis, Paul A.; Rudnick, Benjamin T.; Brautigam, Maxwell J.; Nelson, Tyler W.

    2015-11-01

    Recent research has demonstrated that spatial reasoning skills, long known to be crucial to math and science success, are teachable. Even short stints of training can improve spatial reasoning skills among students who lack them (Sorby et al., 2006). Teaching spatial reasoning is particularly valuable to women and minorities who, through societal pressure, often doubt their spatial reasoning skill (Hill et al., 2010). We have designed a hands on asteroid rotation lab that provides practice in spatial reasoning tasks while building the student’s understanding of photometry. For our tool, we mount a model asteroid, with any shape of our choosing, on a slowly rotating motor shaft, whose speed is controlled by the experimenter. To mimic an asteroid light curve, we place the model asteroid in a dark box, shine a movable light source upon our asteroid, and record the light reflected onto a moveable camera. Students may then observe changes in the light curve that result from varying a) the speed of rotation, b) the model asteroid’s orientation with respect to the motor axis, c) the model asteroid’s shape or albedo, and d) the phase angle. After practicing with our tool, students are asked to pair new objects to their corresponding light curves. To correctly pair objects to their light curves, students must imagine how light scattering off of a three dimensional rotating object is imaged on a ccd sensor plane, and then reduced to a series of points on a light curve plot. Through the use of our model asteroid, the student develops confidence in spatial reasoning skills.

  7. A podcasting-based pre-service teacher training model

    Directory of Open Access Journals (Sweden)

    Jing Zhao

    2012-03-01

    Full Text Available Podcasting has been increasingly used as a new approach to broadcasting information. In the educational field, podcasting offers plenty of opportunities to improve and facilitate pre-service teacher training in normal schools. This study analyses the practice of using podcasting for teaching skills training, and proposes a TSTP (Teaching Skills Training on Podcasting model to improve the training effectiveness.

  8. Simulation of atmospheric mercury depletion events (AMDEs during polar springtime using the MECCA box model

    Directory of Open Access Journals (Sweden)

    Z.-Q. Xie

    2008-07-01

    Full Text Available Atmospheric mercury depletion events (AMDEs during polar springtime are closely correlated with bromine-catalyzed tropospheric ozone depletion events (ODEs. To study gas- and aqueous-phase reaction kinetics and speciation of mercury during AMDEs, we have included mercury chemistry into the box model MECCA (Module Efficiently Calculating the Chemistry of the Atmosphere, which enables dynamic simulation of bromine activation and ODEs.

    We found that the reaction of Hg with Br atoms dominates the loss of gaseous elemental mercury (GEM. To explain the experimentally observed synchronous destruction of Hg and O3, the reaction rate of Hg+BrO has to be much lower than that of Hg+Br. The synchronicity is best reproduced with rate coefficients at the lower limit of the literature values for both reactions, i.e. kHg+Br≈3×10-13 and kHg+BrO≤1×10-15cm3 mol-1 s-1, respectively.

    Throughout the simulated AMDEs, BrHgOBr was the most abundant reactive mercury species, both in the gas phase and in the aqueous phase. The aqueous phase concentrations of BrHgOBr, HgBr2, and HgCl2 were several orders of magnitude larger than that of Hg(SO32-2.

    Considering chlorine chemistry outside depletion events (i.e. without bromine activation, the concentration of total divalent mercury in sea-salt aerosol particles (mostly HgCl2 was much higher than in dilute aqueous droplets (mostly Hg(SO32-2, and did not exhibit a diurnal cycle (no correlation with HO2 radicals.

  9. Assessment of training simulators with advanced models

    International Nuclear Information System (INIS)

    Training quality received by the nuclear power plants operators is related to the reliability degree reached by the models which constitute the calculation basis. TECNATOM began, in the middle of the 80's, the PWR and BWR training simulators upgrading to reproduce all type of transients with long term operation and a very high reliability degree. As a result of this, the Simulation Advanced Models Project (MAS) has been developed for both PWR and BWR simulators. The simulators software is the TRAC code running in real time on the CRAY X-MP 14 vectorial computer. The validation methodology followed in the MAS Project is based on the EPRI's one. The main goal is the detailed analysis of the variables and physical phenomena to validate ('dynamic modes') included in the validation transients matrix. The reference results are supplied by plant data or best estimate codes: TRAC-PF1/MOD1 and TRACG for PWR and BWR training simulators, respectively. This paper shows the main results of validation transients and the main conclusions: improvement of simulation scope and reliability, EOP's scenarios simulation with long term recovery and physical phenomena analysis similar to best estimate codes. (orig.) (13 refs., 17 figs., 4 tabs.)

  10. A Novel Approach for Pass Word Authentication using Brain -State -In -A Box (BSB) Model

    CERN Document Server

    Chakravarthy, A S N; Avadhani, P S

    2011-01-01

    Authentication is the act of confirming the truth of an attribute of a datum or entity. This might involve confirming the identity of a person, tracing the origins of an artefact, ensuring that a product is what it's packaging and labelling claims to be, or assuring that a computer program is a trusted one. The authentication of information can pose special problems (especially man-in-the-middle attacks), and is often wrapped up with authenticating identity. Password authentication using Brain-State -In-A Box is presented in this paper. Here in this paper we discuss Brain-State -In-A Box Scheme for Textual and graphical passwords which will be converted in to probabilistic values Password. We observe how to get password authentication Probabilistic values for Text and Graphical image. This study proposes the use of a Brain-State -In-A Box technique for password authentication. In comparison to existing layered neural network techniques, the proposed method provides better accuracy and quicker response time to...

  11. An Experimental Aneurysm Model: a Training Model for Neurointerventionalists

    OpenAIRE

    Grunwald, I Q; Romeike, B.; Eymann, R; Roth, C.; Struffert, T; Reith, W.

    2006-01-01

    Reproducible animal models not only facilitate the pre-clinical assessment of aneurysm therapy but can also help in training for interventional procedures. The objective of this study was to find an animal model that can be used to test different endovascular occlusion techniques.

  12. Einstein's Boxes

    CERN Document Server

    Norsen, T

    2005-01-01

    At the 1927 Solvay conference, Einstein presented a thought experiment intended to demonstrate the incompleteness of the quantum mechanical description of reality. In the following years, the thought experiment was picked up and modified by Einstein, de Broglie, and several other commentators into a simple scenario involving the splitting in half of the wave function of a single particle in a box. In this paper we collect together several formulations of this thought experiment from the existing literature; analyze and assess it from the point of view of the Einstein-Bohr debates, the EPR dilemma, and Bell's theorem; and generally lobby for Einstein's Boxes taking its rightful place alongside similar but historically better-known quantum mechanical thought experiments such as EPR and Schroedinger's Cat.

  13. Einstein's Boxes

    OpenAIRE

    Norsen, Travis

    2004-01-01

    At the 1927 Solvay conference, Einstein presented a thought experiment intended to demonstrate the incompleteness of the quantum mechanical description of reality. In the following years, the thought experiment was picked up and modified by Einstein, de Broglie, and several other commentators into a simple scenario involving the splitting in half of the wave function of a single particle in a box. In this paper we collect together several formulations of this thought experiment from the exist...

  14. A multiscale finite element model validation method of composite cable-stayed bridge based on Probability Box theory

    Science.gov (United States)

    Zhong, Rumian; Zong, Zhouhong; Niu, Jie; Liu, Qiqi; Zheng, Peijuan

    2016-05-01

    Modeling and simulation are routinely implemented to predict the behavior of complex structures. These tools powerfully unite theoretical foundations, numerical models and experimental data which include associated uncertainties and errors. A new methodology for multi-scale finite element (FE) model validation is proposed in this paper. The method is based on two-step updating method, a novel approach to obtain coupling parameters in the gluing sub-regions of a multi-scale FE model, and upon Probability Box (P-box) theory that can provide a lower and upper bound for the purpose of quantifying and transmitting the uncertainty of structural parameters. The structural health monitoring data of Guanhe Bridge, a composite cable-stayed bridge with large span, and Monte Carlo simulation were used to verify the proposed method. The results show satisfactory accuracy, as the overlap ratio index of each modal frequency is over 89% without the average absolute value of relative errors, and the CDF of normal distribution has a good coincidence with measured frequencies of Guanhe Bridge. The validated multiscale FE model may be further used in structural damage prognosis and safety prognosis.

  15. Discriminative training of self-structuring hidden control neural models

    DEFF Research Database (Denmark)

    Sørensen, Helge Bjarup Dissing; Hartmann, Uwe; Hunnerup, Preben

    1995-01-01

    This paper presents a new training algorithm for self-structuring hidden control neural (SHC) models. The SHC models were trained non-discriminatively for speech recognition applications. Better recognition performance can generally be achieved, if discriminative training is applied instead. Thus...

  16. Modeling of training tests in combat sports

    Directory of Open Access Journals (Sweden)

    Alekseev A.F.

    2010-04-01

    Full Text Available Modeling of different situations of single combat allows to diversify abilities and skills of sportsman. Also to produce individual style of conduct of duel, form and perfect a corona technique. Possibilities of mastering and permanent update of methods of tactical preparation and use of favourable dynamic situations are rotined. The technical tactical actions of fighters of high class are analysed on the largest international tournaments. The programs of trainings tasks are offered on perfection of technical tactical trade of fighters of free style.

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

    International Nuclear Information System (INIS)

    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. (general)

  18. 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.

  19. Australian and overseas models of general practice training.

    Science.gov (United States)

    Hays, Richard B; Morgan, Simon

    2011-06-01

    General practice training in Australia continues to evolve. It is now the responsibility of an independent organisation, is delivered by regional training providers, and comprises a structured training program. Overseas, general practice varies in its importance to health care systems, and training models differ considerably. In some cases training is mandatory, in others voluntary, but the aim is always similar--to improve the quality of care delivered to the large majority of populations that access health care through primary care. We review the current status of vocational general practice training in Australia, compare it with selected training programs in international contexts, and describe how the local model is well placed to address future challenges. Challenges include changes in population demographics, increasing comorbidity, increasing costs of technology-based health care, increasing globalisation of health, and workforce shortages. Although general practice training in Australia is strong, it can improve further by learning from other training programs to meet these challengers. PMID:21644855

  20. Microsurgical cerebral aneurysm training porcine model

    Directory of Open Access Journals (Sweden)

    Jon Olabe

    2011-01-01

    Full Text Available The authors developed a simple reproducible technique for aneurysm creation and adapted it to mimic intracranial dissection conditions using glue application as a pseudo-arachnoid type layer. Ten 1-2-month-old healthy domestic swine were employed under general anesthesia. A novel technique for bifurcation aneurysm creation was developed using two arteries and a vein. After aneurysm creation, diluted sulfuric acid was applied on the dome with a micropipette to increase aneurysm fragility in selected zones. The surgical field was then dried and contact glue was applied around the vascular complex in a circular manner so as to emulate arachnoidal connection fibers. Microsurgical dissection of the aneurysm and surrounding vessels was performed by delicately removing the adhesive substance. Diverse aneurysm clipping techniques, emergency rupture situations and vascular reconstruction procedures were trained. Twenty-two aneurysms were created at several vascular sites, one aneurysm dome ruptured during application of sulfuric acid, two aneurysm models were proved to be thrombosed, two aneurysms ruptured during the dissection and no intraoperative deaths occurred. All aneurysms were clipped in an acceptable manner. This bifurcation aneurysm model provides a novel training system to be used not only by neurosurgeons but also by neurovascular interventionists.

  1. Application of a dynamical two-box surface-atmosphere model to the Mount Pinatubo cooling event

    CERN Document Server

    Knox, Robert S

    2008-01-01

    We analyze the global temperature change due to the Mt. Pinatubo eruption using a simple two-layer model of the atmosphere and surface to obtain results consistent with satellite data. Current highly complex models exist to model this and other temperature anomalies, but because of their complexity are not easily analyzed by those not directly involved. Through analytic and numerical analysis we find a principal characteristic response time of 5 to 8 months and a climate sensitivity of 0.17 to 0.20 C/(W/m^2), corresponding to a negative instantaneous feedback. Our solutions were fit to the data, reproducing the results of a one-box model, and providing somewhat more detailed information about the feedbacks related to surface layer temperature. The formalism for coupling of the surface layer to the thermocline is set up but not applied.

  2. A Model of the Antecedents of Training Transfer

    Science.gov (United States)

    Mohammed Turab, Ghaneemah; Casimir, Gian

    2015-01-01

    Many organizations have invested heavily in training. However, only a small percentage of what is learnt from training is applied or transferred to the workplace. This study examines factors that influence training transfer. A conceptual model based on the Theory of Reasoned Action is hypothesized and tested. The sample consisted of 123 full-time…

  3. A pedagogical model for integrative training in conservation and sustainability

    Directory of Open Access Journals (Sweden)

    Meredith Welch-Devine

    2014-06-01

    Full Text Available The benefits and challenges of interdisciplinary training are well documented, and several reviews have discussed the particular importance of interdisciplinary training for conservation scholars and practitioners. We discuss the progress within one university program to implement specific training models, elements, and tools designed to move beyond remaining barriers to graduate-level, interdisciplinary conservation education.

  4. A Meta-Analytic Review of Behavior Modeling Training

    Science.gov (United States)

    Taylor, Paul J.; Russ-Eft, Darlene F.; Chan, Daniel W. L.

    2005-01-01

    A meta-analysis of 117 studies evaluated the effects of behavior modeling training (BMT) on 6 training outcomes, across characteristics of training design. BMT effects were largest for learning outcomes, smaller for job behavior, and smaller still for results outcomes. Although BMT effects on declarative knowledge decayed over time, training…

  5. Algorithms for Probabilistically-Constrained Models of Risk-Averse Stochastic Optimization with Black-Box Distributions

    CERN Document Server

    Swamy, Chaitanya

    2008-01-01

    We consider various stochastic models that incorporate the notion of risk-averseness into the standard 2-stage recourse model, and develop novel techniques for solving the algorithmic problems arising in these models. A key notable feature of our work that distinguishes it from work in some other related models, such as the (standard) budget model and the (demand-) robust model, is that we obtain results in the black-box setting, that is, where one is given only sampling access to the underlying distribution. Our first model, which we call the risk-averse budget model, incorporates the notion of risk-averseness via a probabilistic constraint that restricts the probability (according to the underlying distribution) with which the second-stage cost may exceed a given budget B to at most a given input threshold \\rho. We also a consider a closely-related model that we call the risk-averse robust model, where we seek to minimize the first-stage cost and the (1-\\rho)-quantile of the second-stage cost. We obtain app...

  6. In-service parametric modelling a rail vehicle's axle-box hydraulic damper for high-speed transit problems

    Science.gov (United States)

    Wang, W. L.; Yu, D. S.; Zhou, Z.

    2015-10-01

    Due to the high-speed operation of modern rail vehicles and severe in-service environment of their hydraulic dampers, it has become important to establish more practical and accurate damper models and apply those models in high-speed transit problem studies. An improved full parametric model with actual in-service parameters, such as variable viscous damping, comprehensive stiffness and small mounting clearance was established for a rail vehicle's axle-box hydraulic damper. A subtle variable oil property model was built and coupled to the modelling process, which included modelling of the dynamic flow losses and the relief-valve system dynamics. The experiments validated the accuracy and robustness of the established full in-service parametric model and simulation which captured the damping characteristics over an extremely wide range of excitation speeds. Further simulations were performed using the model to uncover the effects of key in-service parameter variations on the nominal damping characteristics of the damper. The obtained in-service parametric model coupled all of the main factors that had significant impacts on the damping characteristics, so that the model could be useful in more extensive parameter effects analysis, optimal specification and product design optimisation of hydraulic dampers for track-friendliness, ride comfort and other high-speed transit problems.

  7. Energy-optimal control model for train movements

    Institute of Scientific and Technical Information of China (English)

    Li Ke-Ping; Gao Zi-You; Mao Bao-Hua

    2007-01-01

    In this paper, we propose a new cellular automaton (CA) model for train movement simulations under mixed traffic conditions. A kind of control strategy is employed for trains to reduce energy consumption. In the proposed CA model, the driver controls the train movements by using some updated rules. In order to obtain a good insight into the evolution behaviours of the rail traffic flow, we investigate the space-time diagram of the rail traffic flow and the trajectories of the train movements. The numerical simulation results demonstrate that the proposed CA model can well describe the dynamic behaviours of the train movements. Some complex phenomena of train movements can be reproduced, such as the train delay propagations, etc.

  8. Modeling and simulation for train control system using cellular automata

    Institute of Scientific and Technical Information of China (English)

    LI; KePing; GAO; ZiYou; YANG; LiXing

    2007-01-01

    Train control system plays a key role in railway traffic. Its function is to manage and control the train movement on railway networks. In our previous works, based on the cellular automata (CA) model, we proposed several models and algorithms for simulating the train movement under different control system conditions. However, these models are only suitable for some simple traffic conditions. Some basic factors, which are important for train movement, are not considered. In this paper, we extend these models and algorithms and give a unified formula. Using the proposed method, we analyze and discuss the space-time diagram of railway traffic flow and the trajectories of the train movement. The numerical simulation and analytical results demonstrate that the unified CA model is an effective tool for simulating the train control system.

  9. NewsPaperBox - Online News Space: a visual model for representing the social space of a website

    Directory of Open Access Journals (Sweden)

    Selçuk Artut

    2010-02-01

    Full Text Available NewsPaperBox * propounds an alternative visual model utilizing the treemap algorithm to represent the collective use of a website that evolves in response to user interaction. While the technology currently exists to track various user behaviors such as number of clicks, duration of stay on a given web site, these statistics are not yet employed to influence the visual representation of that site's design in real time. In that sense, this project propounds an alternative modeling of a representational outlook of a website that is developed by collaborations and competitions of its global users. This paper proposes the experience of cyberspace as a generative process driven by its effective user participation.

  10. A dynamic box model to predict the radionuclide behaviour in river for average and long-term periods

    International Nuclear Information System (INIS)

    This paper presents a dynamic box model to predict, for average and long time periods, the radionuclide behaviour in the main abiotic and biotic compartments of rivers. It is integrated in the operational code CASTEAUR, aiming to increase its application domain, limited, up to now, to short-term periods. The retained approach for this tool describes the river as a succession of elementary boxes representative of its different reaches. Two media are considered, the water column and the bottom sediment, through their biotic and abiotic components. In the water column, the abiotic components are the water and different classes of suspended particles classified according their deposit kinetics. The biotic components are plankton, divided into phytoplankton and zooplankton, and fish, distributed in planktonivorous and omnivorous species. The bottom sediment is represented according two layers. The first one, which can exchange with the water column, is called the reactive layer. Its abiotic components are the interstitial water and the different classes of deposit matter. It also includes a biotic component called macro-benthos. The second layer, i.e. the permanent layer, contains only the different classes of deposit matter transferred from the previous layer by consolidation process. The main processes linking all these components are modelled to assess in each reach the average radionuclide concentrations in the abiotic and biotic targets (components) describing the river ecosystem. The calculation are made with a minimum daily time step and for periods from several days to several years, taken possibly into account several releases distributed in time and space, and characterized by daily kinetics. After the model, an application on a real case is presented. (author)

  11. SIMULATE-3 core model for nuclear reactor training simulators

    International Nuclear Information System (INIS)

    This paper describes the adaptation of the Studsvik nuclear reactor analysis code, SIMULATE-3, to nuclear reactor training simulation. This adaption to real-time applications permits training simulation to be performed using the same 'engineering grade' core model used for core design, loading optimisation, safety analysis, and plant technical support. Use of SIMULATE-3R in training simulation permits simple initialisation of simulator core-models (without need for tuning) and facilitates application of cycle-specific core models. SIMULATE-3R permits training simulation of reactor cores with the accuracy normally associated with engineering analysis and enhances the simulator's 'plant analyser' functions. (author)

  12. Effects of Business Embedded & Traditional Training Models on Motivation

    OpenAIRE

    Hasan, Syed Akif; Subhani, Muhammad Imtiaz

    2011-01-01

    Service industry is now focusing more and more on providing valuable training opportunities to its employees in order to improve the quality of its services and benchmarking them as its competitive advantage. This research has attempted to understand the effects of the Business Embedded Training Model and the Traditional Training Model on employees’ job motivation. A sample of 80 organizations and 1000 respondents was taken and Group t-Test and Log Linear Logit techniques were used to evaluat...

  13. SimpleTreat: a spreadsheet-based box model to predict the fate of xenobiotics in a municipal waste water treatment plant

    NARCIS (Netherlands)

    Struijs J; van de Meent D; Stoltenkamp J

    1991-01-01

    A non-equilibrium steady state box model is reported, that predicts the fate of new chemicals in a conventional sewage treatment plant from a minimal input data set. The model, written in an electronic spreadsheet (Lotus TM 123), requires a minimum input: some basic properties of the chemical, its

  14. Cognitive model supported tactical training simulation

    NARCIS (Netherlands)

    Doesburg, W.A. van; Bosch, K. van den

    2005-01-01

    Simulation-based tactical training can be made more effective by using cognitive software agents to play key roles (e.g. team mate, adversaries, instructor). Due to the dynamic and complex nature of military tactics, it is hard to create agents that behave realistically and support the training lead

  15. 便携式汽车雨刮器故障检测教学实训箱的设计%Design of the Portable Auto Wiper Fault Detection Teaching Practical Training Box

    Institute of Scientific and Technical Information of China (English)

    叶燕帅; 蒋小波; 李春青; 曾均颖; 阙家帅

    2015-01-01

    In order to improve the automotive repair training teaching efifciency and teaching quality, in-depth study of the automobile wiper fault detection and diagnosis technology and Practical teaching organization process, design and develop a lightweight portable, complete function, convenient used portable Auto wiper fault detection teaching Practical training box. From the aspects of functional design, to the practical training box structure design and teaching use is discussed, explore the design ideas and development method of the teaching aids.%为了提高汽车维修实训的教学效率和教学质量,深入研究汽车雨刮器的故障检测与诊断技术和实训教学组织过程,设计开发了轻巧便携、功能齐全、方便教学使用的汽车雨刮器故障检测教学实训箱。从实训箱的功能设计、结构设计和教学使用几个方面进行论述,探讨教学教具研究设计思路和开发方法。

  16. Modeling of physical fitness of young karatyst on the pre basic training

    Directory of Open Access Journals (Sweden)

    Galimskyi V.A.

    2014-05-01

    Full Text Available Purpose : to develop a program of physical fitness for the correction of the pre basic training on the basis of model performance. Material: 57 young karate sportsmen of 9-11 years old took part in the research. Results : the level of general and special physical preparedness of young karate 9-11 years old was determined. Classes in the control group occurred in the existing program for yous sports school Muay Thai (Thailand boxing. For the experimental group has developed a program of selective development of general and special physical qualities of model-based training sessions. Special program contains 6 direction: 1. Development of static and dynamic balance; 2. Development of vestibular stability (precision movements after rotation; 3. Development rate movements; 4. The development of the capacity for rapid restructuring movements; 5. Development capabilities to differentiate power and spatial parameters of movement; 6. Development of the ability to perform jumping movements of rotation. Development of special physical qualities continued to work to improve engineering complex shock motions on the place and with movement. Conclusions : the use of selective development of special physical qualities based models of training sessions has a significant performance advantage over the control group.

  17. Common modelling approaches for training simulators for nuclear power plants

    International Nuclear Information System (INIS)

    Training simulators for nuclear power plant operating staff have gained increasing importance over the last twenty years. One of the recommendations of the 1983 IAEA Specialists' Meeting on Nuclear Power Plant Training Simulators in Helsinki was to organize a Co-ordinated Research Programme (CRP) on some aspects of training simulators. The goal statement was: ''To establish and maintain a common approach to modelling for nuclear training simulators based on defined training requirements''. Before adapting this goal statement, the participants considered many alternatives for defining the common aspects of training simulator models, such as the programming language used, the nature of the simulator computer system, the size of the simulation computers, the scope of simulation. The participants agreed that it was the training requirements that defined the need for a simulator, the scope of models and hence the type of computer complex that was required, the criteria for fidelity and verification, and was therefore the most appropriate basis for the commonality of modelling approaches. It should be noted that the Co-ordinated Research Programme was restricted, for a variety of reasons, to consider only a few aspects of training simulators. This report reflects these limitations, and covers only the topics considered within the scope of the programme. The information in this document is intended as an aid for operating organizations to identify possible modelling approaches for training simulators for nuclear power plants. 33 refs

  18. Contacts within Valve Train Simulations: a Comparison of Models

    Science.gov (United States)

    Förg, Martin; Engelhardt, Thomas; Ulbrich, Heinz

    In this work different contact models within valve train simulations are investigated. Two basic approaches are opposed, namely rigid and flexible models. The rigid model is described by a unilateral constraint, for the group of flexible models a linear spring-damper-element and different variants of HERTZIAN contacts are used. Frictional effects are considered by COULOMB's law in the original and a regularized formulation. The models are discussed in terms of their influence on the dynamics of the valve train system, especially when they are used in diverse configurations. For the numerical analysis the system size has been varied and extended to the entire valve train with all cylinders and valve mechanisms.

  19. Simulation Model Development for Icing Effects Flight Training

    Science.gov (United States)

    Barnhart, Billy P.; Dickes, Edward G.; Gingras, David R.; Ratvasky, Thomas P.

    2003-01-01

    A high-fidelity simulation model for icing effects flight training was developed from wind tunnel data for the DeHavilland DHC-6 Twin Otter aircraft. First, a flight model of the un-iced airplane was developed and then modifications were generated to model the icing conditions. The models were validated against data records from the NASA Twin Otter Icing Research flight test program with only minimal refinements being required. The goals of this program were to demonstrate the effectiveness of such a simulator for training pilots to recognize and recover from icing situations and to establish a process for modeling icing effects to be used for future training devices.

  20. Self-training neural network model for tomography data processing

    Science.gov (United States)

    Kulchin, Yuri N.; Vitrik, Oleg B.; Kamenev, Oleg T.; Kirichenko, Oleg V.; Petrov, Yuri S.; Maksayev, Oleg G.

    1995-04-01

    In this paper we present self-training two-layer neural network model for tomography data processing. This model allows us to reconstruct physical field parameters distribution by use of tomography integral data.

  1. Scientific models red atoms, white lies and black boxes in a yellow book

    CERN Document Server

    Gerlee, Philip

    2016-01-01

    A zebrafish, the hull of a miniature ship, a mathematical equation and a food chain - what do these things have in common? They are examples of models used by scientists to isolate and study particular aspects of the world around us. This book begins by introducing the concept of a scientific model from an intuitive perspective, drawing parallels to mental models and artistic representations. It then recounts the history of modelling from the 16th century up until the present day. The iterative process of model building is described and discussed in the context of complex models with high predictive accuracy versus simpler models that provide more of a conceptual understanding. To illustrate the diversity of opinions within the scientific community, we also present the results of an interview study, in which ten scientists from different disciplines describe their views on modelling and how models feature in their work. Lastly, it includes a number of worked examples that span different modelling approaches a...

  2. Simulating atmospheric composition over a South-East Asian tropical rainforest: performance of a chemistry box model

    Science.gov (United States)

    Pugh, T. A. M.; MacKenzie, A. R.; Hewitt, C. N.; Langford, B.; Edwards, P. M.; Furneaux, K. L.; Heard, D. E.; Hopkins, J. R.; Jones, C. E.; Karunaharan, A.; Lee, J.; Mills, G.; Misztal, P.; Moller, S.; Monks, P. S.; Whalley, L. K.

    2010-01-01

    Atmospheric composition and chemistry above tropical rainforests is currently not well established, particularly for south-east Asia. In order to examine our understanding of chemical processes in this region, the performance of a box model of atmospheric boundary layer chemistry is tested against measurements made at the top of the rainforest canopy near Danum Valley, Malaysian Borneo. Multi-variate optimisation against ambient concentration measurements was used to estimate average canopy-scale emissions for isoprene, total monoterpenes and nitric oxide. The excellent agreement between estimated values and measured fluxes of isoprene and total monoterpenes provides confidence in the overall modelling strategy, and suggests that this method may be applied where measured fluxes are not available, assuming that the local chemistry and mixing are adequately understood. The largest contributors to the optimisation cost function at the point of best-fit are OH (29%), NO (22%) and total peroxy radicals (27%). Several factors affect the modelled VOC chemistry. In particular concentrations of methacrolein (MACR) and methyl-vinyl ketone (MVK) are substantially overestimated, and the hydroxyl radical (OH) concentration is substantially underestimated; as has been seen before in tropical rainforest studies. It is shown that inclusion of dry deposition of MACR and MVK and wet deposition of species with high Henry's Law values substantially improves the fit of these oxidised species, whilst also substantially decreasing the OH sink. Increasing OH production arbitrarily, through a simple OH recycling mechanism , adversely affects the model fit for volatile organic compounds (VOCs). Given the constraints on isoprene flux provided by measurements, a substantial decrease in the rate of reaction of VOCs with OH is the only remaining option to explain the measurement/model discrepancy for OH. A reduction in the isoprene+OH rate constant of 50%, in conjunction with increased

  3. Simulating atmospheric composition over a South-East Asian tropical rainforest: Performance of a chemistry box model

    Directory of Open Access Journals (Sweden)

    T. A. M. Pugh

    2009-09-01

    Full Text Available Atmospheric composition and chemistry above tropical rainforests is currently not well established, particularly for south-east Asia. In order to examine our understanding of chemical processes in this region, the performance of a box model of atmospheric boundary layer chemistry is tested against measurements made at the top of the rainforest canopy near Danum Valley, Malaysian Borneo. Multi-variate optimisation against ambient concentration measurements was used to estimate average canopy-scale emissions for isoprene, total monoterpenes and nitric oxide. The excellent agreement between estimated values and measured fluxes of isoprene and total monoterpenes provides confidence in the overall modelling strategy, and suggests that this method may be applied where measured fluxes are not available. The largest contributors to the optimisation cost function at the point of best-fit are OH (41%, NO (18% and total monoterpenes (16%. Several factors affect the modelled VOC chemistry. In particular concentrations of methacrolein (MACR and methyl-vinyl ketone (MVK are substantially overestimated, and the hydroxyl radical [OH] concentration is substantially underestimated; as has been seen before in tropical rainforest studies. It is shown that inclusion of dry deposition of MACR and MVK and wet deposition of species with high Henry's Law values substantially improves the fit of these oxidised species, whilst also substantially decreasing the OH sink. Increasing [OH] production arbitrarily, through a simple OH recycling mechanism, adversely affects the model fit for volatile organic compounds (VOCs. Given the constraints on isoprene flux provided by measurements, a substantial decrease in the rate of reaction of VOCs with OH is the only remaining option to explain the measurement/model discrepancy for OH. A reduction in the isoprene + OH rate constant of 50–70% is able to produce both isoprene and OH concentrations within error of those measured

  4. Simulating atmospheric composition over a South-East Asian tropical rainforest: performance of a chemistry box model

    Directory of Open Access Journals (Sweden)

    T. A. M. Pugh

    2010-01-01

    Full Text Available Atmospheric composition and chemistry above tropical rainforests is currently not well established, particularly for south-east Asia. In order to examine our understanding of chemical processes in this region, the performance of a box model of atmospheric boundary layer chemistry is tested against measurements made at the top of the rainforest canopy near Danum Valley, Malaysian Borneo. Multi-variate optimisation against ambient concentration measurements was used to estimate average canopy-scale emissions for isoprene, total monoterpenes and nitric oxide. The excellent agreement between estimated values and measured fluxes of isoprene and total monoterpenes provides confidence in the overall modelling strategy, and suggests that this method may be applied where measured fluxes are not available, assuming that the local chemistry and mixing are adequately understood. The largest contributors to the optimisation cost function at the point of best-fit are OH (29%, NO (22% and total peroxy radicals (27%. Several factors affect the modelled VOC chemistry. In particular concentrations of methacrolein (MACR and methyl-vinyl ketone (MVK are substantially overestimated, and the hydroxyl radical (OH concentration is substantially underestimated; as has been seen before in tropical rainforest studies. It is shown that inclusion of dry deposition of MACR and MVK and wet deposition of species with high Henry's Law values substantially improves the fit of these oxidised species, whilst also substantially decreasing the OH sink. Increasing OH production arbitrarily, through a simple OH recycling mechanism , adversely affects the model fit for volatile organic compounds (VOCs. Given the constraints on isoprene flux provided by measurements, a substantial decrease in the rate of reaction of VOCs with OH is the only remaining option to explain the measurement/model discrepancy for OH. A reduction in the isoprene+OH rate constant of 50%, in conjunction with

  5. Interactive training model of TRIZ for mechanical engineers in China

    Science.gov (United States)

    Tan, Runhua; Zhang, Huangao

    2014-03-01

    Innovation is a process of taking an original idea and converting it into a business value, in which the engineers face some inventive problems which can be solved hardly by experience. TRIZ, as a new theory for companies in China, provides both conceptual and procedural knowledge for finding and solving inventive problems. Because the government plays a leading role in the diffusion of TRIZ, too many companies from different industries are waiting to be trained, but the quantity of the trainers mastering TRIZ is incompatible with that requirement. In this context, to improve the training effect, an interactive training model of TRIZ for the mechanical engineers in China is developed and the implementation in the form of training classes is carried out. The training process is divided into 6 phases as follows: selecting engineers, training stage-1, finding problems, training stage-2, finding solutions and summing up. The government, TRIZ institutions and companies to join the programs interact during the process. The government initiates and monitors a project in form of a training class of TRIZ and selects companies to join the programs. Each selected companies choose a few engineers to join the class and supervises the training result. The TRIZ institutions design the training courses and carry out training curriculum. With the beginning of the class, an effective communication channel is established by means of interview, discussion face to face, E-mail, QQ and so on. After two years training practices, the results show that innovative abilities of the engineers to join and pass the final examinations increased distinctly, and most of companies joined the training class have taken congnizance of the power of TRIZ for product innovation. This research proposes an interactive training model of TRIZ for mechanical engineers in China to expedite the knowledge diffusion of TRIZ.

  6. Cyclin-like F-box protein plays a role in growth and development of the three model species Medicago truncatula, Lotus japonicus, and Arabidopsis thaliana

    Directory of Open Access Journals (Sweden)

    Boycheva I

    2015-08-01

    Full Text Available Irina Boycheva,1 Valya Vassileva,2 Miglena Revalska,1 Grigor Zehirov,2 Anelia Iantcheva1 1Department of Functional Genetics Legumes, 2AgroBioInstitute, Department of Plant Stress Molecular Biology, Institute of Plant Physiology and Genetics, Sofia, Bulgaria Abstract: In eukaryotes, F-box proteins are one of the main components of the SCF complex that belongs to the family of ubiquitin E3 ligases, which catalyze protein ubiquitination and maintain the balance between protein synthesis and degradation. In the present study, we clarified the role and function of the gene encoding cyclin-like F-box protein from Medicago truncatula using transgenic plants of the model species M. truncatula, Lotus japonicas, and Arabidopsis thaliana generated by Agrobacterium-mediated transformation. Morphological and transcriptional analyses combined with flow cytometry and histochemistry demonstrated the participation of this protein in many aspects of plant growth and development, including processes of indirect somatic embryogenesis and symbiotic nodulation. The cyclin-like F-box gene showed expression in all plant organs and tissues comprised of actively dividing cells. The observed variations in root and hypocotyl growth, leaf and silique development, ploidy levels, and leaf parameters in the obtained transgenic lines demonstrated the effects of this gene on organ development. Furthermore, knockdown of cyclin-like F-box led to accumulation of higher levels of the G2/M transition-specific gene cyclin B1:1 (CYCB1:1, suggesting its possible role in cell cycle control. Together, the collected data suggest a similar role of the cyclin-like F-box protein in the three model species, providing evidence for the functional conservation of the studied gene. Keywords: cyclin-like F-box, model legumes, Arabidopsis thaliana, plant growth, plant development, cell cycle

  7. Inverse grey-box model-based control of a dielectric elastomer actuator

    DEFF Research Database (Denmark)

    Jones, Richard William; Sarban, Rahimullah

    2012-01-01

    An accurate physical-based electromechanical model of a commercially available tubular dielectric elastomer (DE) actuator has been developed and validated. In this contribution, the use of the physical-based electromechanical model to formulate a model-based controller is examined. The choice of...

  8. Channel Model for Train to Train Communication using the 400 MHz Band

    OpenAIRE

    Rico Garcia, Cristina; Lehner, Andreas; Strang, Thomas

    2008-01-01

    This paper presents a channel model for direct train-to-train communication appropriate for the 400 MHz band. Extrapolation of theoretical and experimental results obtained for the planning of other railway communication systems like GSM-R is not obvious due to the difference in frequencies, antenna height and absence of base stations. In this paper, the analysis of the channel model covers different radio phenomena including path loss, Doppler, fading, and delay spread. ...

  9. Exciton and biexciton binding and vertical Stark effect in a model lens-shaped quantum box: Application to InAs/InP quantum dots

    International Nuclear Information System (INIS)

    The problem of excitonic and biexcitonic binding is studied in the system of parabolic coordinates for a lens-shaped quantum box. The exciton wavefunction is expanded in terms of electron-hole configurations made from electron and hole single-particle states. Configuration interaction method and perturbative calculations are used to study the competition between confinement and correlation effects. Biexcitonic binding energy is calculated in the strong confinement regime and a comparison to the case of a spherical box is made. Absorption spectra with and without correlation effects are computed for InAs/InP quantum dots. Excitonic binding energy and enhancement factor are estimated to be equal to about 20 meV and 1.5, respectively. The excitonic absorption is finally studied in the presence of a uniform vertical electric field. A weak vertical Stark effect is predicted for lens-shaped quantum box described within this model

  10. Exciton and biexciton binding and vertical Stark effect in a model lens-shaped quantum box: Application to InAs/InP quantum dots

    Energy Technology Data Exchange (ETDEWEB)

    Cornet, C. [FOTON-UMR 6082 au CNRS, INSA de Rennes, 20 Avenue des Buttes de Coesmes, CS 14315, F-34043 Rennes Cedex (France)]. E-mail: charles.cornet@ens.insa-rennes.fr; Even, J. [FOTON-UMR 6082 au CNRS, INSA de Rennes, 20 Avenue des Buttes de Coesmes, CS 14315, F-34043 Rennes Cedex (France)]. E-mail: jacky.even@insa-rennes.fr; Loualiche, S. [FOTON-UMR 6082 au CNRS, INSA de Rennes, 20 Avenue des Buttes de Coesmes, CS 14315, F-34043 Rennes Cedex (France)

    2005-09-19

    The problem of excitonic and biexcitonic binding is studied in the system of parabolic coordinates for a lens-shaped quantum box. The exciton wavefunction is expanded in terms of electron-hole configurations made from electron and hole single-particle states. Configuration interaction method and perturbative calculations are used to study the competition between confinement and correlation effects. Biexcitonic binding energy is calculated in the strong confinement regime and a comparison to the case of a spherical box is made. Absorption spectra with and without correlation effects are computed for InAs/InP quantum dots. Excitonic binding energy and enhancement factor are estimated to be equal to about 20 meV and 1.5, respectively. The excitonic absorption is finally studied in the presence of a uniform vertical electric field. A weak vertical Stark effect is predicted for lens-shaped quantum box described within this model.

  11. Identifying competencies of boxing coaches

    Directory of Open Access Journals (Sweden)

    Ioannis Tasiopoulos

    2014-10-01

    Full Text Available The purpose of this study was to find out the management skills required by boxing coaches to administrate their clubs. For the purposes of this study a scale was constructed which was answered by 98 boxing coaches. Explanatory factor analysis revealed seven factors: Communication-public relations (5 items, event management (4 items, management techniques (4 items, new technologies (4 items, prevention-safety (2 items, sport (5 items and sports facilities (2 items. The Cronbach of the scale was 0.85. The five competencies that rated by the coaches were: Supervisors of the area of training, maintaining excellent communication with athletes, using new technologies (e-mail, internet, handling disciplinary matters, accidents, complaints and reports on some sporting games and promoted harmony among athletes. We concluded that boxing coaches understand that the competencies required for meeting their obligations, were related to sports, prevention, safety and communications-public relations.

  12. Analisis Transformasi Box Cox Untuk Mengatasi Heteroskedastisitas Dalam Model Regresi Linier Sederhana.

    OpenAIRE

    Desri Kristina S

    2011-01-01

    Regression analysis is one of statistic technics that used to determine the relation model of one respon variable (Y) with one or more independent variable (X), what is generally expressed in equation mathematic. In statistic, a regression model is obtained by estimate of its parameter by using certain method, one of them is with the Maximum Likelihood Methods. Regression model that obtained to be told is good or fit, if fulfilled by the ideal assumption (classic). One of linear regression as...

  13. 基于系统辨识的地表太阳辐射Box-Jenkins模型的建立%ESTABLISHMENT OF BOX-JENKINS MODEL FOR SURFACE SOLAR RADIATION BASED ON SYSTEM IDENTIFICATION METHOD

    Institute of Scientific and Technical Information of China (English)

    王敏; 丁明

    2012-01-01

    Astronomical radiation as the input data, the BJ (Box-Jenkins) model for surface solar radiation was established using system identification method. The model was affirmed to be workable by residual analysis and zero-pole test. This method can be used to predict the surface solar radiation of 5 -15 minutes time interval, the prediction results can provide solar radiation data for power output forecast of solar PV power plants.%利用天文辐射作为输入数据,采用系统辨识的方法得到地表太阳辐射的BJ(Box-Jenkins)模型,并通过残 差分析和零极点检验.该方法可用于预测5~ 15min时间间隔的地表太阳辐射,为太阳能电站的功率输出预测提供太阳能辐射数据.

  14. NASA's Climate in a Box: Desktop Supercomputing for Open Scientific Model Development

    Science.gov (United States)

    Wojcik, G. S.; Seablom, M. S.; Lee, T. J.; McConaughy, G. R.; Syed, R.; Oloso, A.; Kemp, E. M.; Greenseid, J.; Smith, R.

    2009-12-01

    NASA's High Performance Computing Portfolio in cooperation with its Modeling, Analysis, and Prediction program intends to make its climate and earth science models more accessible to a larger community. A key goal of this effort is to open the model development and validation process to the scientific community at large such that a natural selection process is enabled and results in a more efficient scientific process. One obstacle to others using NASA models is the complexity of the models and the difficulty in learning how to use them. This situation applies not only to scientists who regularly use these models but also non-typical users who may want to use the models such as scientists from different domains, policy makers, and teachers. Another obstacle to the use of these models is that access to high performance computing (HPC) accounts, from which the models are implemented, can be restrictive with long wait times in job queues and delays caused by an arduous process of obtaining an account, especially for foreign nationals. This project explores the utility of using desktop supercomputers in providing a complete ready-to-use toolkit of climate research products to investigators and on demand access to an HPC system. One objective of this work is to pre-package NASA and NOAA models so that new users will not have to spend significant time porting the models. In addition, the prepackaged toolkit will include tools, such as workflow, visualization, social networking web sites, and analysis tools, to assist users in running the models and analyzing the data. The system architecture to be developed will allow for automatic code updates for each user and an effective means with which to deal with data that are generated. We plan to investigate several desktop systems, but our work to date has focused on a Cray CX1. Currently, we are investigating the potential capabilities of several non-traditional development environments. While most NASA and NOAA models are

  15. Clinical Reasoning in Athletic Training Education: Modeling Expert Thinking

    Science.gov (United States)

    Geisler, Paul R.; Lazenby, Todd W.

    2009-01-01

    Objective: To address the need for a more definitive approach to critical thinking during athletic training educational experiences by introducing the clinical reasoning model for critical thinking. Background: Educators are aware of the need to teach students how to think critically. The multiple domains of athletic training are comprehensive and…

  16. Characteristics of Effective Training: Developing a Model To Motivate Action.

    Science.gov (United States)

    Wise, Dena; Ezell, Patsy

    2003-01-01

    The Parenting and Consumer Education project identified effective models for training welfare-to-work facilitators. Premises were the importance of process, learner responsibility, and improvement of social networks. Effective training was learner focused, inspiring, and motivating; demonstrated productive behaviors and effective life skills; and…

  17. Utility of a model for the training of endoscopic ultrasound

    International Nuclear Information System (INIS)

    The endoscopic ultrasound is a technique that is being used more every day; unfortunately it is performed by less than 1% of the gastroenterologists in Colombia. Among several factors that could explain this are: The lack of training centers the long learning curve and the complications associated to these procedures. The training models have been very useful in the learning process of mucosectomy and endoscopic ultrasound. Nevertheless, the models described so far are expensive and require a high technology resource, which is usually not available in the training centers, for the reasons we have created an inexpensive model, easy to make and very useful to learn EUS

  18. Traffic Modelling for Moving-Block Train Control System

    Institute of Scientific and Technical Information of China (English)

    TANG Tao; LI Ke-Ping

    2007-01-01

    This paper presents a new cellular automaton (CA) model for train control system simulation.In the proposed CA model,the driver reactions to train movements are captured by some updated rules.The space-time diagram of traffic flow and the trajectory of train movement is used to obtain insight into the characteristic behavior of railway traffic flow.A number of simulation results demonstrate that the proposed CA model can be successfully used for the simulations of railway traffic.Not only the characteristic behavior of railway traffic flow can be reproduced,but also the simulation values of the minimum time headway are close to the theoretical values.

  19. Traffic Modelling for Moving-Block Train Control System

    International Nuclear Information System (INIS)

    This paper presents a new cellular automaton (CA) model for train control system simulation. In the proposed CA model, the driver reactions to train movements are captured by some updated rules. The space-time diagram of traffic flow and the trajectory of train movement is used to obtain insight into the characteristic behavior of railway traffic flow. A number of simulation results demonstrate that the proposed CA model can be successfully used for the simulations of railway traffic. Not only the characteristic behavior of railway traffic flow can be reproduced, but also the simulation values of the minimum time headway are close to the theoretical values.

  20. A Black-box Modelling Engine for Discharge Produced Plasma Radiation Sources

    International Nuclear Information System (INIS)

    A Blackbox Modelling Engine (BME), is an instrument based on the adaptation of the RMHD code Z*, integrated into a specific computation environment to provide a turn key simulation instrument and to enable routine plasma modelling without specialist knowledge in numerical computation. Two different operating modes are provided: Detailed Physics mode and Fast Numerics mode. In the Detailed Physics mode, non-stationary, non-equilibrium radiation physics have been introduced to allow the modelling of transient plasmas in experimental geometry. In the Fast Numerics mode, the system architecture and the radiation transport is simplified to significantly accelerate the computation rate. The Fast Numerics mode allows the BME to be used realistically in parametric scanning to explore complex physical set up, before using the Detailed Physics mode. As an example of the results from the BME modelling, the EUV source plasma dynamics in the pulsed capillary discharge are presented

  1. Simple Statistical Model to Quantify Maximum Expected EMC in Spacecraft and Avionics Boxes

    Science.gov (United States)

    Trout, Dawn H.; Bremner, Paul

    2014-01-01

    This study shows cumulative distribution function (CDF) comparisons of composite a fairing electromagnetic field data obtained by computational electromagnetic 3D full wave modeling and laboratory testing. Test and model data correlation is shown. In addition, this presentation shows application of the power balance and extention of this method to predict the variance and maximum exptected mean of the E-field data. This is valuable for large scale evaluations of transmission inside cavities.

  2. Purpurogallin, a Natural Phenol, Attenuates High-Mobility Group Box 1 in Subarachnoid Hemorrhage Induced Vasospasm in a Rat Model

    Directory of Open Access Journals (Sweden)

    Chih-Zen Chang

    2014-01-01

    Full Text Available High-mobility group box 1 (HMGB1 was shown to be an important extracellular mediator involved in vascular inflammation of animals following subarachnoid hemorrhage (SAH. This study is of interest to examine the efficacy of purpurogallin, a natural phenol, on the alternation of cytokines and HMGB1 in a SAH model. A rodent double hemorrhage SAH model was employed. Basilar arteries (BAs were harvested to examine HMGB1 mRNA and protein expression (Western blot. CSF samples were to examine IL-1β, IL-6, IL-8, and TNF-α (rt-PCR. Deformed endothelial wall, tortuous elastic lamina, and necrotic smooth muscle were observed in the vessels of SAH groups but were absent in the purpurogallin group. IL-1β, IL-6, and TNF-α in the SAH only and SAH plus vehicle groups were significantly elevated (P<0.01. Purpurgallin dose-dependently reduced HMGB1 protein expression. Likewise, high dose purpurogallin reduced TNF-α and HMGB1 mRNA levels. In conclusion, purpurogallin exerts its neuroinflammation effect through the dual effect of inhibiting IL-6 and TNF-α mRNA expression and reducing HMGB1 protein and mRNA expression. This study supports purpurogallin could attenuate both proinflammatory cytokines and late-onset inflammasome in SAH induced vasospasm.

  3. Training Ethical Psychologists: An Acculturation Model.

    Science.gov (United States)

    Gottlieb, Michael C.; Handelsman, Mitchell M.; Knapp, Samuel

    This paper posits the thesis that socialization into the profession of psychology is a process of acculturation. Students enter training with their own value traditions but are required to learn new ones when they become psychologists. The assumptions of the framework are that this "professional acculturation" (a) takes place over time, (b)…

  4. The MESSy aerosol submodel MADE3 (v2.0b): description and a box model test

    Energy Technology Data Exchange (ETDEWEB)

    Kaiser, J. C.; Hendricks, J.; Righi, M.; Riemer, Nicole; Zaveri, Rahul A.; Metzger, S.; Aquila, Valentino

    2014-06-17

    We introduce MADE3 (Modal Aerosol Dynamics for Europe, adapted for global applications, version 3), an aerosol dynamics submodel for application in a global chemistry general circulation model, that builds on the predecessor aerosol submodels MADE and MADE-in. The main new features of MADE3 are the explicit representation of coarse particle interactions with fine particles and gases, and the inclusion of the hydrochloric acid (HCl)/chloride (Cl) partitioning between the gas and condensed phases. The aerosol size distribution is represented in the new model as a superposition of nine lognormal modes: one for fully soluble particles, one for insoluble particles, and one for mixed particles in each of three size ranges (Aitken, accumulation, and coarse mode size ranges). In order to assess MADE3’s performance we compare it to its predecessor MADE and to the much more detailed particle-resolved aerosol model PartMC-MOSAIC in a box model application. MADE3 and MADE results are very similar, except when the aerosol is dominated by sea spray particles. In such cases, Cl concentrations are lower in MADE3 than in MADE due to the HCl/Cl partitioning. Additionally, the aerosol nitrate concentration is higher in MADE3 due to the uptake on coarse particles. MADE3 and PartMCMOSAIC show substantial differences in the fine particle size distributions (sizes . 2μm) that could be relevant when simulating climate effects on a global scale. Nevertheless, the agreement between MADE3 and PartMC-MOSAIC is very good when it comes to coarse particle size distribution, and also in terms of aerosol composition. Considering these results and the well-established ability of MADE in reproducing observed aerosol loadings and composition, MADE3 seems suitable for application within a global model.

  5. A grey box model of glucose fermentation and syntrophic oxidation in microbial fuel cells.

    Science.gov (United States)

    de Los Ángeles Fernandez, Maria; de Los Ángeles Sanromán, Maria; Marks, Stanislaw; Makinia, Jacek; Gonzalez Del Campo, Araceli; Rodrigo, Manuel; Fernandez, Francisco Jesus

    2016-01-01

    In this work, the fermentative and oxidative processes taking place in a microbial fuel cell (MFC) fed with glucose were studied and modeled. The model accounting for the bioelectrochemical processes was based on ordinary, Monod-type differential equations. The model parameters were estimated using experimental results obtained from three H-type MFCs operated at open or closed circuits and fed with glucose or ethanol. The experimental results demonstrate that similar fermentation processes were carried out under open and closed circuit operation, with the most important fermentation products being ethanol (with a yield of 1.81molmol(-1) glucose) and lactic acid (with a yield of 1.36molmol(-1) glucose). A peak in the electricity generation was obtained when glucose and fermentation products coexisted in the liquid bulk. However, almost 90% of the electricity produced came from the oxidation of ethanol. PMID:26512864

  6. Efficient Parameterization for Grey-box Model Identification of Complex Physical Systems

    DEFF Research Database (Denmark)

    Blanke, Mogens; Knudsen, Morten

    2006-01-01

    better would be very useful. This paper shows how we can assess the parameter interdependence and model quality. Hessian matrix decomposition is employed to show linear dependencies between variables and to put a quality tag on different parameterizations. The method determines parameter relations that...

  7. Opening the Black Box of Clinical Collaboration in Integrated Care Models for Frail, Elderly Patients

    Science.gov (United States)

    de Stampa, Matthieu; Vedel, Isabelle; Bergman, Howard; Novella, Jean-Luc; Lechowski, Laurent; Ankri, Joel; Lapointe, Liette

    2013-01-01

    Purpose: The purpose of the study was to understand better the clinical collaboration process among primary care physicians (PCPs), case managers (CMs), and geriatricians in integrated models of care. Methods: We conducted a qualitative study with semistructured interviews. A purposive sample of 35 PCPs, 7 CMs, and 4 geriatricians was selected in…

  8. Opening the Black Box: Using a Hydrological Model to Link Stakeholder Engagement with Groundwater Management

    Directory of Open Access Journals (Sweden)

    Susanna Eden

    2016-05-01

    Full Text Available Stakeholder participation is a foundation of good water governance. Good groundwater governance typically involves the co-production of knowledge about the groundwater system. Models provide a vehicle for producing this knowledge, as well as a “boundary object” around which scientists and stakeholders can convene the co-production process. Through co-production, stakeholders and scientific experts can engage in exchanges that create system knowledge not otherwise achievable. The process involves one-way transfer of information, active two-way conversations, and integration of multiple kinds of knowledge into shared understanding. In the Upper Santa Cruz River basin in Arizona, USA, the University of Arizona Water Resources Research Center (WRRC convened a project aimed at providing scientific underpinnings for groundwater planning and management. This project, entitled Groundwater, Climate, and Stakeholder Engagement, serves as a case study employing the first two stages of knowledge co-production using a hydrological model. Through an iterative process that included two-way communication, stakeholders provided critical input to hydrologic modeling analyses. Acting as a bridging organization, the WRRC facilitated a co-production process, involving location-specific and transferability workshops, which resulted in new knowledge and capacity for applying the model to novel problems.

  9. Gray box modeling of MSW degradation: Revealing its dominant (bio)chemical mechanism

    NARCIS (Netherlands)

    Van Turnhout, A.G.; Heimovaara, T.J.; Kleerebezem, R.

    2013-01-01

    In this paper we present an approach to describe organic degradation within immobile water regions of Municipal Solid Waste (MSW) landfills which is best described by the term “gray box” model. We use a simplified set of dominant (bio)chemical and physical reactions and realistic environmental condi

  10. Numerical Weather Prediction Models on Linux Boxes as tools in meteorological education in Hungary

    Science.gov (United States)

    Gyongyosi, A. Z.; Andre, K.; Salavec, P.; Horanyi, A.; Szepszo, G.; Mille, M.; Tasnadi, P.; Weidiger, T.

    2012-04-01

    Education of Meteorologist in Hungary - according to the Bologna Process - has three stages: BSc, MSc and PhD, and students graduating at each stage get the respective degree (BSc, MSc and PhD). The three year long base BSc course in Meteorology can be chosen by undergraduate students in the fields of Geosciences, Environmental Sciences and Physics. BasicsFundamentals in Mathematics (Calculus), Physics (General and Theoretical) Physics and Informatics are emphasized during their elementary education. The two year long MSc course - in which about 15 to 25 students are admitted each year - can be studied only at our the Eötvös Loránd uUniversity in the our country. Our aim is to give a basic education in all fields of Meteorology. Main topics are: Climatology, Atmospheric Physics, Atmospheric Chemistry, Dynamic and Synoptic Meteorology, Numerical Weather Prediction, modeling Modeling of surfaceSurface-atmosphere Iinteractions and Cclimate change. Education is performed in two branches: Climate Researcher and Forecaster. Education of Meteorologist in Hungary - according to the Bologna Process - has three stages: BSc, MSc and PhD, and students graduating at each stage get the respective degree. The three year long BSc course in Meteorology can be chosen by undergraduate students in the fields of Geosciences, Environmental Sciences and Physics. Fundamentals in Mathematics (Calculus), (General and Theoretical) Physics and Informatics are emphasized during their elementary education. The two year long MSc course - in which about 15 to 25 students are admitted each year - can be studied only at the Eötvös Loránd University in our country. Our aim is to give a basic education in all fields of Meteorology: Climatology, Atmospheric Physics, Atmospheric Chemistry, Dynamic and Synoptic Meteorology, Numerical Weather Prediction, Modeling of Surface-atmosphere Interactions and Climate change. Education is performed in two branches: Climate Researcher and Forecaster

  11. Effect of auricular acupuncture on oxygen consumption of boxing athletes

    Institute of Scientific and Technical Information of China (English)

    LIN Zen-Pin; WANG Chung-Yuan; JANO Tsong-Rong; MA Tso-chiang; CHIA Fan; LIN Jaung-Geng; HSU Jen-Jeng; HO Tsung-Jung

    2009-01-01

    @@ Boxing is an official sport at the 2008 Beijing Olympic Games and the fast development of world-class high strength training and sport science has made a significant impact on scientific training. Boxing needs high cardio-respiratory function, speed, muscle strength, and anaerobic and intensive physical demands including weight control covering the grading of athlete's.

  12. "White Box" Epidemiology and the Social Neuroscience of Health Behaviors: The Environmental Affordances Model.

    Science.gov (United States)

    Mezuk, Briana; Abdou, Cleopatra M; Hudson, Darrell; Kershaw, Kiarri N; Rafferty, Jane A; Lee, Hedwig; Jackson, James S

    2013-07-01

    Crucial advances have been made in our knowledge of the social determinants of health and health behaviors. Existing research on health disparities, however, generally fails to address a known paradox in the literature: While blacks have higher risk of medical morbidity relative to non-Hispanic whites, blacks have lower rates of common stress-related forms of psychopathology such as major depression and anxiety disorders. In this article we propose a new theoretical approach, the Environmental Affordances Model, as an integrative framework for the origins of both physical and mental health disparities. We highlight early empirical support and a growing body of experimental animal and human research on self-regulatory health behaviors and stress coping that is consistent with the proposed framework. We conclude that transdisciplinary approaches, such as the Environmental Affordances Model, are needed to understand the origins of group-based disparities to implement effective solutions to racial and ethnic group inequalities in physical and mental health. PMID:24224131

  13. Opening the Black Box: Using a Hydrological Model to Link Stakeholder Engagement with Groundwater Management

    OpenAIRE

    Susanna Eden; Sharon B. Megdal; Eylon Shamir; Karletta Chief; Kelly Mott Lacroix

    2016-01-01

    Stakeholder participation is a foundation of good water governance. Good groundwater governance typically involves the co-production of knowledge about the groundwater system. Models provide a vehicle for producing this knowledge, as well as a “boundary object” around which scientists and stakeholders can convene the co-production process. Through co-production, stakeholders and scientific experts can engage in exchanges that create system knowledge not otherwise achievable. The process invol...

  14. Tailored vs Black-Box Models for Forecasting Hourly Average Solar Irradiance

    Czech Academy of Sciences Publication Activity Database

    Brabec, Marek; Paulescu, M.; Badescu, V.

    2015-01-01

    Roč. 111, January (2015), s. 320-331. ISSN 0038-092X R&D Projects: GA MŠk LD12009 Grant ostatní: European Cooperation in Science and Technology(XE) COST ES1002 Institutional support: RVO:67985807 Keywords : solar irradiance * forecasting * tilored statistical models Subject RIV: BB - Applied Statistics, Operational Research Impact factor: 3.469, year: 2014

  15. Gray box modeling of MSW degradation: Revealing its dominant (bio)chemical mechanism

    OpenAIRE

    Van Turnhout, A.G.; Heimovaara, T.J.; Kleerebezem, R.

    2013-01-01

    In this paper we present an approach to describe organic degradation within immobile water regions of Municipal Solid Waste (MSW) landfills which is best described by the term “gray box” model. We use a simplified set of dominant (bio)chemical and physical reactions and realistic environmental conditions. All equations, relationships and inhibitions are based on semi-empirical or fundamental relationships which have proven to be applicable in the peer reviewed literature. As much as possible ...

  16. Excised Abdominoplasty Material as a Systematic Plastic Surgical Training Model

    OpenAIRE

    M. Erol Demirseren; Candemir Ceran; Yakup Duman; Murat Sarici

    2012-01-01

    Achieving a level of technical skill and confidence in surgical operations is the main goal of plastic surgical training. Operating rooms were accepted as the practical teaching venues of the traditional apprenticeship model. However, increased patient population, time, and ethical and legal considerations made preoperation room practical work a must for plastic surgical training. There are several plastic surgical teaching models and simulators which are very useful in preoperation room prac...

  17. Aesthetic Surgery Training during Residency in the United States: A Comparison of the Integrated, Combined, and Independent Training Models

    OpenAIRE

    Arash Momeni; Kim, Rebecca Y.; Wan, Derrick C.; Ali Izadpanah; Lee, Gordon K.

    2014-01-01

    Background. Three educational models for plastic surgery training exist in the United States, the integrated, combined, and independent model. The present study is a comparative analysis of aesthetic surgery training, to assess whether one model is particularly suitable to provide for high-quality training in aesthetic surgery. Methods. An 18-item online survey was developed to assess residents’ perceptions regarding the quality of training in aesthetic surgery in the US. The survey had three...

  18. Beware the black box: investigating the sensitivity of FEA simulations to modelling factors in comparative biomechanics

    Directory of Open Access Journals (Sweden)

    Christopher W. Walmsley

    2013-11-01

    Full Text Available Finite element analysis (FEA is a computational technique of growing popularity in the field of comparative biomechanics, and is an easily accessible platform for form-function analyses of biological structures. However, its rapid evolution in recent years from a novel approach to common practice demands some scrutiny in regards to the validity of results and the appropriateness of assumptions inherent in setting up simulations. Both validation and sensitivity analyses remain unexplored in many comparative analyses, and assumptions considered to be ‘reasonable’ are often assumed to have little influence on the results and their interpretation. Here we report an extensive sensitivity analysis where high resolution finite element (FE models of mandibles from seven species of crocodile were analysed under loads typical for comparative analysis: biting, shaking, and twisting. Simulations explored the effect on both the absolute response and the interspecies pattern of results to variations in commonly used input parameters. Our sensitivity analysis focuses on assumptions relating to the selection of material properties (heterogeneous or homogeneous, scaling (standardising volume, surface area, or length, tooth position (front, mid, or back tooth engagement, and linear load case (type of loading for each feeding type. Our findings show that in a comparative context, FE models are far less sensitive to the selection of material property values and scaling to either volume or surface area than they are to those assumptions relating to the functional aspects of the simulation, such as tooth position and linear load case. Results show a complex interaction between simulation assumptions, depending on the combination of assumptions and the overall shape of each specimen. Keeping assumptions consistent between models in an analysis does not ensure that results can be generalised beyond the specific set of assumptions used. Logically, different

  19. MODEL OF TRAINING OF SUCCESS IN LIFE

    OpenAIRE

    Екатерина Александровна Лежнева

    2014-01-01

    The article explains the importance of the development of motive to succeed in adolescence. It is determined the value of the motive to achieve success in the further development of the teenager: a motive to achieve effective internal forces mobilized for the implementation of successful operation ensures the active involvement of teenagers in social and interpersonal relationships. As the primary means of motive development success is considered training. The author provides a definition of ...

  20. Adopsi Model Competency Based Training dalam Kewirausahaan

    OpenAIRE

    I Ketut Santra

    2009-01-01

    The aim of the research is improving the teaching method in entrepreneurship subject. This research adopted the competency based training (CBT) into the entrepreneurship. The major task in this research is formulated and designed the entrepreneurship competency. Entrepreneurship competency indicated by Personal, Strategic and Situational and Business competence. All of entrepreneurship competences are described into sub topic of competence. After designing and formulating the game and simulat...

  1. Description and validation of realistic and structured endourology training model

    OpenAIRE

    Soria, Federico; Morcillo, Esther; Sanz, Juan Luis; Budia, Alberto; Serrano, Alvaro; Sanchez-Margallo, Francisco M

    2014-01-01

    Purpose: The aim of the present study was to validate a model of training, which combines the use of non-biological and ex vivo biological bench models, as well as the modelling of urological injuries for endourological treatment in a porcine animal model. Material and Methods: A total of 40 participants took part in this study. The duration of the activity was 16 hours. The model of training was divided into 3 levels: level I, concerning the acquisition of basic theoretical knowledge; level ...

  2. The effect of plasma actuator on the depreciation of the aerodynamic drag on box model

    Science.gov (United States)

    Harinaldi, Budiarso, Julian, James; Rabbani M., N.

    2016-06-01

    Recent active control research advances have provided many benefits some of which in the field of transportation by land, sea as well as by air. Flow engineering by using active control has proven advantages in energy saving significantly. One of the active control equipment that is being developed, especially in the 21st century, is a plasma actuator, with the ability to modify the flow of fluid by the approach of ion particles makes these actuators a very powerful and promising tool. This actuator can be said to be better to the previously active control such as suction, blowing and synthetic jets because it is easier to control, more flexible because it has no moving parts, easy to be manufactured and installed, and consumes a small amount of energy with maximum capability. Plasma actuator itself is the composition of a material composed of copper and a dielectric sheet, where the copper sheets act as an electricity conductor and the dielectric sheet as electricity insulator. Products from the plasma actuators are ion wind which is the result of the suction of free air around the actuator to the plasma zone. This study investigates the ability of plasma actuators in lowering aerodynamic drag which is commonly formed in the models of vehicles by varying the shape of geometry models and the flow speed.

  3. Partons of a spherical box

    International Nuclear Information System (INIS)

    Calculation of parton distributions in the 'cavity approximation' to the MIT bag model gives a divergent sum of positive terms. In this version of the model the flexible movable bag is replaced by an inflexible immovable box. This suggests that Bjorken scaling does not hold for the deep inelastic scattering in this version of the model. (K.A.)

  4. Analysis of a genetically structured variance heterogeneity model using the Box-Cox transformation

    DEFF Research Database (Denmark)

    Yang, Ye; Christensen, Ole Fredslund; Sorensen, Daniel

    2011-01-01

    of the marginal distribution of the data. To investigate how the scale of measurement affects inferences, the genetically structured heterogeneous variance model is extended to accommodate the family of Box–Cox transformations. Litter size data in rabbits and pigs that had previously been analysed in...... the untransformed scale were reanalysed in a scale equal to the mode of the marginal posterior distribution of the Box–Cox parameter. In the rabbit data, the statistical evidence for a genetic component at the level of the environmental variance is considerably weaker than that resulting from an...... analysis in the original metric. In the pig data, the statistical evidence is stronger, but the coefficient of correlation between additive genetic effects affecting mean and variance changes sign, compared to the results in the untransformed scale. The study confirms that inferences on variances can be...

  5. A job safety program for construction workers designed to reduce the potential for occupational injury using tool box training sessions and computer-assisted biofeedback stress management techniques.

    Science.gov (United States)

    Johnson, Kenneth A; Ruppe, Joan

    2002-01-01

    This project was conducted with a multicultural construction company in Hawaii, USA. The job duties performed included drywall and carpentry work. The following objectives were selected for this project: (a) fire prevention training and inspection of first aid equipment; (b) blood-borne pathogen training and risk evaluation; (c) ergonomic and risk evaluation intervention program; (d) electrical safety training and inspection program; (e) slips, trips, and falls safety training; (f) stress assessment and Personal Profile System; (g) safety and health program survey; (h) improving employee relations and morale by emphasizing spirituality; and (i) computer-assisted biofeedback stress management training. Results of the project indicated that observed safety hazards, reported injuries, and levels of perceived stress. were reduced for the majority of the population. PMID:12189103

  6. Modeling the Effects of Stress: An Approach to Training

    Science.gov (United States)

    Cuper, Taryn

    2010-01-01

    Stress is an integral element of the operational conditions experienced by combat medics. The effects of stress can compromise the performance of combat medics who must reach and treat their comrades under often threatening circumstances. Examples of these effects include tunnel vision, loss of motor control, and diminished hearing, which can result in an inability to perceive further danger, satisfactorily treat the casualty, and communicate with others. While many training programs strive to recreate this stress to aid in the experiential learning process, stress inducement may not always be feasible or desired. In addition, live simulations are not always a practical, convenient, and repeatable method of training. Instead, presenting situational training on a personal computer is proposed as an effective training platform in which the effects of stress can be addressed in a different way. We explore the cognitive and motor effects of stress, as well as the benefits of training for mitigating these effects in real life. While many training applications focus on inducing stress in order to "condition" the stress response, the author explores the possibilities of modeling stress to produce a similar effect. Can presenting modeled effects of stress help prepare or inoculate soldiers for stressful situations in which they must perform at a high level? This paper investigates feasibility of modeling stress and describes the preliminary design considerations of a combat medic training system that utilizes this method of battlefield preparation.

  7. Recovery Act. Development of a Model Energy Conservation Training Program

    Energy Technology Data Exchange (ETDEWEB)

    none,

    2012-07-05

    The overall objective of this project was to develop an updated model Energy Conservation training program for stationary engineers. This revision to the IUOE National Training Fund’s existing Energy Conservation training curriculum is designed to enable stationary engineers to incorporate essential energy management into routine building operation and maintenance tasks. The curriculum uses a blended learning approach that includes classroom, hands-on, computer simulation and web-based training in addition to a portfolio requirement for a workplace-based learning application. The Energy Conservation training program goal is development of a workforce that can maintain new and existing commercial buildings at optimum energy performance levels. The grant start date was July 6, 2010 and the project continued through September 30, 2012, including a three month non-funded extension.

  8. Digital Avionics Information System (DAIS): Training Requirements Analysis Model (TRAMOD).

    Science.gov (United States)

    Czuchry, Andrew J.; And Others

    The training requirements analysis model (TRAMOD) described in this report represents an important portion of the larger effort called the Digital Avionics Information System (DAIS) Life Cycle Cost (LCC) Study. TRAMOD is the second of three models that comprise an LCC impact modeling system for use in the early stages of system development. As…

  9. Therapist Personal Agency: A Model for Examining the Training Context

    Science.gov (United States)

    Mutchler, Matthew; Anderson, Stephen

    2010-01-01

    This study reviews the creation and testing of a model of Therapist Personal Agency during MFT training. A model including self-efficacy, trainee developmental level, supervisor working alliance, family of origin relationships, and psychological states was supported by data collected from a national sample of MFT students. The model supported by…

  10. A Training Model for School-Based Decision Making.

    Science.gov (United States)

    Horgan, Dianne D.

    The development of a comprehensive training model designed specifically for school-based decision making is discussed in this report, with a focus on teaching relevant skills and when to utilize them. Loosely based on Vroom and Yetton's 1973 model of participative decision making, the model is characterized by a general-to-specific continuum and…

  11. A Novel Intermediate Complexity box Model (ICBM) for Efficiently Simulating Marine C,N,P,O,S Biogeochemistry Over Geologic Time Scales: Applications for OAE Research

    Science.gov (United States)

    Romaniello, S. J.; Derry, L. A.

    2006-12-01

    Global marine redox conditions and marine nutrient status are tightly coupled on geologic timescales. Hypotheses that attempt to explain the occurrence of OAEs and/or the widespread deposition of organic-rich sediments must be dynamically plausible when viewed from the perspective of each of the major biological elements—C,N,P,O, and S. We present a new intermediate complexity box model (ICBM) capable of efficiently examining the coupled interactions of these cycles for a wide range of paleooceanographic hypotheses. Our ICBM fills a unique niche as a compromise between simple box models and more complicated EMICs and OGCMs. For computational speed, we employ a simple circulation model designed to avoid the pitfalls of early 2-3 box ocean models. In exchange, we represent the coupled major element cycles in considerable detail. This enables the biogeochemical submodel to simulate biological and chemical processes over a wide range of redox conditions, while providing efficient integration (1 My/hr). By prescribing simple representations of modern circulation and mixing, we are able to generate characteristic pelagic nutrient profiles and budgets for both the Global Ocean and the Black Sea, without changing the underlying biogeochemical model. We will present results from the simulation of several common explanations for OAEs, and discuss numerical estimates of the sensitivity and feedbacks in these hypothetical systems. Special emphasis will be placed on the interactions between global primary production, dissolved oxygen, nitrogen fixation, and anammox /denitrification.

  12. Response surface modeling of Pb(II) removal from aqueous solution by Pistacia vera L.: Box-Behnken experimental design.

    Science.gov (United States)

    Yetilmezsoy, Kaan; Demirel, Sevgi; Vanderbei, Robert J

    2009-11-15

    A three factor, three-level Box-Behnken experimental design combining with response surface modeling (RSM) and quadratic programming (QP) was employed for maximizing Pb(II) removal from aqueous solution by Antep pistachio (Pistacia vera L.) shells based on 17 different experimental data obtained in a lab-scale batch study. Three independent variables (initial pH of solution (pH(0)) ranging from 2.0 to 5.5, initial concentration of Pb(II) ions (C(0)) ranging from 5 to 50 ppm, and contact time (t(C)) ranging from 5 to 120 min) were consecutively coded as x(1), x(2) and x(3) at three levels (-1, 0 and 1), and a second-order polynomial regression equation was then derived to predict responses. The significance of independent variables and their interactions were tested by means of the analysis of variance (ANOVA) with 95% confidence limits (alpha=0.05). The standardized effects of the independent variables and their interactions on the dependent variable were also investigated by preparing a Pareto chart. The optimum values of the selected variables were obtained by solving the quadratic regression model, as well as by analysing the response surface contour plots. The optimum coded values of three test variables were computed as x(1)=0.125, x(2)=0.707, and x(3)=0.107 by using a LOQO/AMPL optimization algorithm. The experimental conditions at this global point were determined to be pH(0)=3.97, C(0)=43.4 ppm, and t(C)=68.7 min, and the corresponding Pb(II) removal efficiency was found to be about 100%. PMID:19577844

  13. Submarine groundwater discharge to a small estuary estimated from radon and salinity measurements and a box model

    Science.gov (United States)

    Crusius, J.; Koopmans, D.; Bratton, J.F.; Charette, M.A.; Kroeger, K.D.; Henderson, P.; Ryckman, L.; Halloran, K.; Colman, J.A.

    2005-01-01

    Submarine groundwater discharge was quantified by a variety of methods in Salt Pond, adjacent to Nauset Marsh on Cape Cod, USA. Discharge estimates based on radon and salinity took advantage of the presence of the narrow channel connecting Salt Pond to Nauset Marsh, which allowed constructing whole-pond mass balances as water flowed in and out due to tidal fluctuations. A box model was used to estimate discharge separately to Salt Pond and to the channel by simulating the timing and magnitude of variations in the radon and salinity data in the channel. Discharge to the pond is estimated to be 2200??1100 m3 d-1, while discharge to the channel is estimated to be 300??150m3 d-1, for a total discharge of 2500??1250 m3 d-1 to the Salt Pond system. This translates to an average groundwater flow velocity of 3??1.5 cm d -1. Seepage meter flow estimates are broadly consistent with this figure, provided discharge is confined to shallow sediments (water depth estimated from the radon and salinity data is comparable to a value of 3200-4500 m3 d-1 predicted by a recent hydrologic model (Masterson, 2004; Colman and Masterson, 20041). Additional work is needed to determine if the measured rate of discharge is representative of the long-term average, and to determine the rate of groundwater discharge seaward of Salt Pond. Data also suggest a TDN flux from groundwater to Salt Pond of ???2.6 mmol m-2 d-1, a figure comparable to fluxes observed in other eutrophic settings.

  14. Changes of High Mobility Group box 1 in Serum of Pig Acute Hepatic Failure Model and Significance

    Institute of Scientific and Technical Information of China (English)

    Fan ZHANG; Yongwen HE; Zhongping DUAN

    2008-01-01

    The role of the high mobility group box 1 (HMGB-1) in acute hepatic failure and the ef- fect of artificial liver support system treatment on HMGB-1 level were investigated. Pig models of acute hepatic failure were induced by D-galactosamine and randomly divided into two groups with or without artificial liver support system treatment. Tumor necrosis factor-α (TNF-α) and interleukin-1β (IL-1β) levels were detected by the enzyme linked immunosorbent assay (ELISA), the expression of HMGB-1 by Western blot, and serum levels of HMGB-1, liver function and hepatic pathology were observed after artificial liver support system treatment. The levels of TNF-α and IL-1β were increased and reached the peak at 24th h in the acute hepatic failure group, then quickly decreased. The serum level of HMGB-1 was increased at 24th h in the acute hepatic failure group and reached the peak at 48th h, then kept a stable high level. Significant liver injury appeared at 24th h and was continuously getting worse in the pig models of acute hepatic failure. In contrast, the liver injury was significantly alleviated and serum level of HMGB-1 was significantly decreased in the group treated with artificial liver support system (P<0.05). It was suggested that HMGB-1 may participate in the inflammatory response and liver injury in the late stage of the acute liver failure. Artificial liver support system treatment can reduce serum HMGB-1 level and relieve liver pathological damage.

  15. Submarine groundwater discharge to a small estuary estimated from radon and salinity measurements and a box model

    Directory of Open Access Journals (Sweden)

    J. A. Colman

    2005-01-01

    Full Text Available Submarine groundwater discharge was quantified by a variety of methods in Salt Pond, adjacent to Nauset Marsh on Cape Cod, USA. Discharge estimates based on radon and salinity took advantage of the presence of the narrow channel connecting Salt Pond to Nauset Marsh, which allowed constructing whole-pond mass balances as water flowed in and out due to tidal fluctuations. A box model was used to estimate discharge separately to Salt Pond and to the channel by simulating the timing and magnitude of variations in the radon and salinity data in the channel. Discharge to the pond is estimated to be 2200±1100 m3d-1, while discharge to the channel is estimated to be 300±150 m3d-1, for a total discharge of 2500±1250 m3d-1 to the Salt Pond system. This translates to an average groundwater flow velocity of 3±1.5 cm d-1 Seepage meter flow estimates are broadly consistent with this figure, provided discharge is confined to shallow sediments (water depth 3d-1 predicted by a recent hydrologic model (Masterson, 2004; Colman and Masterson, 2004. Additional work is needed to determine if the measured rate of discharge is representative of the long-term average, and to determine the rate of groundwater discharge seaward of Salt Pond. Data also suggest a TDN flux from groundwater to Salt Pond of ~2.6 mmol m-2d-1, a figure comparable to fluxes observed in other eutrophic settings.

  16. Laryngeal (Voice Box) Cancer

    Science.gov (United States)

    ... Meeting Calendar Find an ENT Doctor Near You Voice Box (Laryngeal) Cancer Voice Box (Laryngeal) Cancer Patient Health Information News media ... laryngeal cancer can be severe with respect to voice, breathing, or swallowing. It is fundamentally a preventable ...

  17. A Novel Train-to-Train Communication Model Design Based on Multihop in High-Speed Railway

    Directory of Open Access Journals (Sweden)

    Pengyu Liu

    2012-01-01

    Full Text Available Railway telematics applications are currently attracting attention and are under intense research. Reliable railway telematics applications increasingly tend to require a subsidiary means to help existent control system make train operation safer and more efficient. Since 2006, train-to-train communication has been studied to respond to such requirements. A key characteristic of train-to-train communication is that operation control to avoid possible accidents is conducted among trains without help of a base station. This paper proposes a novel train-to-train communication model in a physical layer based on multihop and cooperation, taking a high-speed railway propagation channel into account. The mechanism of this model lies in the idea that a source train uses trains on other tracks as relays to transmit signals to destination train on the same track. Based on occurrence of these potential relays, such mechanism can be divided into three cases. In each case, BER is applied to evaluate properties of the proposed communication model. Simulation results show that BER of the train-to-train communication model decreases to 10−6 when SNR is 10 dB and that the minimum receiving voltage of this model is −84 dBm, which is 8 dBm lower than the standards established by the International Union of Railways (UIC in a high-speed railway scenario.

  18. Understanding Recommender Dynamics driving Box Office Revenues

    CERN Document Server

    Yeung, C H; Jin, C -H

    2010-01-01

    We introduce a simple model to investigate the underlying dynamics driving movie box office. Without an explicit reliance on time, the box office of movies evolves naturally by movie-movie competition through reviews listed on a centralized recommender system. A simple mean-field approximation is employed which assumes an average interaction between the competing movies, and describes the interesting box office dynamics. Box office hits are found for movies with quality beyond a critical value, leading to booms in gross box office. Such critical value is dependent on the reviewing behaviors, intention of movie goers for new movies, and the quality of the peer competing movies. Finally we compare our analytical results with simulations and real system and obtain qualitative agreements, suggesting the present model in describing the fundamental dynamics of box office.

  19. Assessment of a Socio-constructivist Model for Teacher Training

    OpenAIRE

    Luiz Antonio Joia

    2002-01-01

    This article assesses a socio-constructivist model for training K-12 teachers in Brazil, in the use of Informatics in education. The method applied combines both face-to-face exchanges and a WEB-based distance approach made possible by Internet technology. The characteristics of such training and its main objectives are analyzed according to the collected data presented. A descriptive single case study research methodology is applied. The main conclusions reached by this research—based on the...

  20. Adopsi Model Competency Based Training dalam Kewirausahaan

    Directory of Open Access Journals (Sweden)

    I Ketut Santra

    2009-01-01

    Full Text Available The aim of the research is improving the teaching method in entrepreneurship subject. This research adopted the competency based training (CBT into the entrepreneurship. The major task in this research is formulated and designed the entrepreneurship competency. Entrepreneurship competency indicated by Personal, Strategic and Situational and Business competence. All of entrepreneurship competences are described into sub topic of competence. After designing and formulating the game and simulation the research continuing to implement the competency based training in the real class. The time consumed to implementing the CBT one semester, starting on September 2006 to early February 2007. The lesson learnt from the implementation period, the CBT could improve the student competence in Personal, Situational Strategic and Business. The three of the competencies are important for the success entrepreneur. It is a sign of application of “Kurikulum Berbasis Kompetensi”. There are many evidences to describe the achievement of the CBT in entrepreneurship subject. Firstly, physically achievement, that all of the student’s business plan could became the real business. The evidences are presented by picture of the student’s real business. Secondly theoretically achievement, that the Personal, Situational Strategic and Business competence statistically have significant relation with Business Plan even Real Business quality. The effect of the Personal, Situational Strategic and Business competence to Business Plan quality is 84.4%. and, to the Real Business quality 77.2%. The statistic’s evidence suggests that the redesign of the entrepreneurship subject is the right way. The content of the entrepreneur competence (Personal, Situational and Strategic and Business competence have impact to the student to conduct and running for own business.

  1. An animal model to train Lichtenstein inguinal hernia repair

    DEFF Research Database (Denmark)

    Rosenberg, J; Presch, I; Pommergaard, H C;

    2013-01-01

    , thus complicating the procedure if operation should be done in the inguinal canal. The chain of lymph nodes resembles the human spermatic cord and can be used to perform Lichtenstein's hernia repair. RESULTS: This experimental surgical model has been tested on two adult male pigs and three adult female...... pigs, and a total of 55 surgeons have been educated to perform Lichtenstein's hernia repair in these animals. CONCLUSIONS: This new experimental surgical model for training Lichtenstein's hernia repair mimics the human inguinal anatomy enough to make it suitable as a training model. The operation......PURPOSE: Inguinal hernia repair is a common surgical procedure, and the majority of operations worldwide are performed ad modum Lichtenstein (open tension-free mesh repair). Until now, no suitable surgical training model has been available for this procedure. We propose an experimental surgical...

  2. Spinal high-mobility group box 1 contributes to mechanical allodynia in a rat model of bone cancer pain

    International Nuclear Information System (INIS)

    Mechanisms underlying bone cancer-induced pain are largely unknown. Previous studies indicate that neuroinflammation in the spinal dorsal horn is especially involved. Being first reported as a nonhistone chromosomal protein, high-mobility group box 1 (HMGB1) is now implicated as a mediator of inflammation. We hypothesized that HMGB1 could trigger the release of cytokines in the spinal dorsal horn and contribute to bone cancer pain. To test this hypothesis, we first built a bone cancer pain model induced by intratibal injection of Walker 256 mammary gland carcinoma cells. The structural damage to the tibia was monitored by radiological analysis. The mechanical allodynia was measured and the expression of spinal HMGB1 and IL-1β was evaluated. We observed that inoculation of cancer cells, but not heat-killed cells, induced progressive bone destruction from 9 d to 21 d post inoculation. Behavioral tests demonstrated that the significant nociceptive response in the cancer cells-injected rats emerged on day 9 and this kind of mechanical allodynia lasted at least 21 d following inoculation. Tumor cells inoculation significantly increased HMGB1 expression in the spinal dorsal horn, while intrathecal injecting a neutralizing antibody against HMGB1 showed an effective and reliable anti-allodynia effect with a dose-dependent manner. IL-1β was significantly increased in caner pain rats while intrathecally administration of anti-HMGB1 could decrease IL-1β. Together with previous reports, we predict that bone cancer induces HMGB1 production, enhancing spinal IL-1β expression and thus modulating spinal excitatory synaptic transmission and pain response.

  3. The MESSy aerosol submodel MADE3 (v2.0b: description and a box model test

    Directory of Open Access Journals (Sweden)

    J. C. Kaiser

    2014-06-01

    Full Text Available We introduce MADE3 (Modal Aerosol Dynamics model for Europe, adapted for global applications, 3rd generation; version: MADE3v2.0b, an aerosol dynamics submodel for application within the MESSy framework (Modular Earth Submodel System. MADE3 builds on the predecessor aerosol submodels MADE and MADE-in. Its main new features are the explicit representation of coarse mode particle interactions both with other particles and with condensable gases, and the inclusion of hydrochloric acid (HCl / chloride (Cl partitioning between the gas and condensed phases. The aerosol size distribution is represented in the new submodel as a superposition of nine lognormal modes: one for fully soluble particles, one for insoluble particles, and one for mixed particles in each of three size ranges (Aitken, accumulation, and coarse mode size ranges. In order to assess the performance of MADE3 we compare it to its predecessor MADE and to the much more detailed particle-resolved aerosol model PartMC-MOSAIC in a box model simulation of an idealised marine boundary layer test case. MADE3 and MADE results are very similar, except in the coarse mode, where the aerosol is dominated by sea spray particles. Cl is reduced in MADE3 with respect to MADE due to the HCl / Cl partitioning that leads to Cl removal from the sea spray aerosol in our test case. Additionally, the aerosol nitrate concentration is higher in MADE3 due to the condensation of nitric acid on coarse mode particles. MADE3 and PartMC-MOSAIC show substantial differences in the fine particle size distributions (sizes ≲ 2 μm that could be relevant when simulating climate effects on a global scale. Nevertheless, the agreement between MADE3 and PartMC-MOSAIC is very good when it comes to coarse particle size distributions (sizes ≳ 2 μm, and also in terms of aerosol composition. Considering these results and the well-established ability of MADE in reproducing observed aerosol loadings and composition

  4. The MESSy aerosol submodel MADE3 (v2.0b: description and a box model test

    Directory of Open Access Journals (Sweden)

    J. C. Kaiser

    2014-01-01

    Full Text Available We introduce MADE3 (Modal Aerosol Dynamics model for Europe, adapted for global applications, 3rd generation, an aerosol dynamics submodel for application within the MESSy framework (Modular Earth Submodel System. MADE3 builds on the predecessor aerosol submodels MADE and MADE-in. Its main new features are the explicit representation of coarse particle interactions both with other particles and with condensable gases, and the inclusion of hydrochloric acid (HCl/chloride (Cl partitioning between the gas and condensed phases. The aerosol size distribution is represented in the new submodel as a superposition of nine lognormal modes: one for fully soluble particles, one for insoluble particles, and one for mixed particles in each of three size ranges (Aitken, accumulation, and coarse mode size ranges. In order to assess the performance of MADE3 we compare it to its predecessor MADE and to the much more detailed particle-resolved aerosol model PartMC-MOSAIC in a box model simulation of an idealised marine boundary layer test case. MADE3 and MADE results are very similar, except in the coarse mode, where the aerosol is dominated by sea spray particles. Cl is reduced in MADE3 with respect to MADE due to the HCl/Cl partitioning that leads to Cl removal from the sea spray aerosol in our test case. Additionally, aerosol nitrate concentration is higher in MADE3 due to the condensation of nitric acid on coarse particles. MADE3 and PartMC-MOSAIC show substantial differences in the fine particle size distributions (sizes ≲ 2 μm that could be relevant when simulating climate effects on a global scale. Nevertheless, the agreement between MADE3 and PartMC-MOSAIC is very good when it comes to coarse particle size distribution, and also in terms of aerosol composition. Considering these results and the well-established ability of MADE in reproducing observed aerosol loadings and composition, MADE3 seems suitable for application within a global model.

  5. Modeling of the process of gear shifting in planetary gear trains of motor vehicles

    Directory of Open Access Journals (Sweden)

    Aleksandar R. Grkić

    2011-04-01

    Full Text Available Gear boxes, i. e. the realization of their functions, especially gear shift, have a big impact on vehicle operation quality through their effects on the performance of vehicles and their comfort. This paper shows a method of modeling the transition process during gear shifting in planetary gear trains. The simulation model is developed with in order to provide virtual research of planetary gear trains, which would positively decrease the number of real prototypes, thus considerably saving time and contributing to the quality improvement of the final product (planetary gear train and vehicles in general. Introduction Modeling of gear shift processes has been carried out on the planetary gear type Ravigneaux used in planetary gear trains of motor vehicles. The model was developed modularly, so that more simulation models can be added to the whole. At the same time each subsystem is a model for itself and can be used independently from the main model. Simplified engine model Bearing in mind that, for the simulation of the planetary gear which is the subject of this paper, the necessary input parameters are in the form of engine torque Mm, angular velocity and motor ωm moment of inertia of rotating engine components reduced to the input shaft gear, a simplified model of an internal combustion engine has been formed. Model of external load External load resistance is in the form of the torque Mt occurring on the drive wheel of the vehicle. On the other hand, this load is defined by the moment of inertia of rotating elements from the planetary gear to the drive wheel, reduced to the output shaft. Model of friction transmission simulation Transmission power control in planetary gears is achieved through friction components. The output size of this subsystem is the moment of carrying the friction assembly. Simulation model of the planetary gear train The model simulation of the planetary gear type Ravigneaux was formed in accordance with the kinematic

  6. DISCOURSE AND COMMUNICATION TRANSLATION MODEL IN INTERPRETER TRAINING

    OpenAIRE

    T. Volkova

    2013-01-01

    The paper addresses issues of (consecutive) interpreter training and possible applications of the discourse and communication translation model in interpreter preparation. The model helps draw up “discursive profiles” and incorporate them into translation analysis, remaining open to additional textual, discursive and communicative parameters.

  7. OPTIMAL TRAINING POLICY FOR PROMOTION - STOCHASTIC MODELS OF MANPOWER SYSTEMS

    Directory of Open Access Journals (Sweden)

    V.S.S. Yadavalli

    2012-01-01

    Full Text Available In this paper, the optimal planning of manpower training programmes in a manpower system with two grades is discussed. The planning of manpower training within a given organization involves a trade-off between training costs and expected return. These planning problems are examined through models that reflect the random nature of manpower movement in two grades. To be specific, the system consists of two grades, grade 1 and grade 2. Any number of persons in grade 2 can be sent for training and after the completion of training, they will stay in grade 2 and will be given promotion as and when vacancies arise in grade 1. Vacancies arise in grade 1 only by wastage. A person in grade 1 can leave the system with probability p. Vacancies are filled with persons in grade 2 who have completed the training. It is assumed that there is a perfect passing rate and that the sizes of both grades are fixed. Assuming that the planning horizon is finite and is T, the underlying stochastic process is identified as a finite state Markov chain and using dynamic programming, a policy is evolved to determine how many persons should be sent for training at any time k so as to minimize the total expected cost for the entire planning period T.

  8. Disparity energy model using a trained neuronal population

    OpenAIRE

    Martins, Jaime A.; Rodrigues, J. M. F.; du Buf, J. M. H.

    2011-01-01

    Depth information using the biological Disparity Energy Model can be obtained by using a population of complex cells. This model explicitly involves cell parameters like their spatial frequency, orientation, binocular phase and position difference. However, this is a mathematical model. Our brain does not have access to such parameters, it can only exploit responses. Therefore, we use a new model for encoding disparity information implicitly by employing a trained binocular ...

  9. A box model study on photochemical interactions between VOCs and reactive halogen species in the marine boundary layer

    Directory of Open Access Journals (Sweden)

    K. Toyota

    2004-01-01

    Full Text Available A new chemical scheme is developed for the multiphase photochemical box model SEAMAC (size-SEgregated Aerosol model for Marine Air Chemistry to investigate photochemical interactions between volatile organic compounds (VOCs and reactive halogen species in the marine boundary layer (MBL. Based primarily on critically evaluated kinetic and photochemical rate parameters as well as a protocol for chemical mechanism development, the new scheme has achieved a near-explicit description of oxidative degradation of up to C3-hydrocarbons (CH4, C2H6, C3H8, C2H4, C3H6, and C2H2 initiated by reactions with OH radicals, Cl- and Br-atoms, and O3. Rate constants and product yields for reactions involving halogen species are taken from the literature where available, but the majority of them need to be estimated. In particular, addition reactions of halogen atoms with alkenes will result in forming halogenated organic intermediates, whose photochemical loss rates are carefully evaluated in the present work. Model calculations with the new chemical scheme reveal that the oceanic emissions of acetaldehyde (CH3CHO and alkenes (especially C3H6 are important factors for regulating reactive halogen chemistry in the MBL by promoting the conversion of Br atoms into HBr or more stable brominated intermediates in the organic form. The latter include brominated hydroperoxides, bromoacetaldehyde, and bromoacetone, which sequester bromine from a reactive inorganic pool. The total mixing ratio of brominated organic species thus produced is likely to reach 10-20% or more of that of inorganic gaseous bromine species over wide regions over the ocean. The reaction between Br atoms and C2H2 is shown to be unimportant for determining the degree of bromine activation in the remote MBL. These results imply that reactive halogen chemistry can mediate a link between the oceanic emissions of VOCs and the behaviors of compounds that are sensitive to halogen chemistry such as dimethyl

  10. A box model study on photochemical interactions between VOCs and reactive halogen species in the marine boundary layer

    Directory of Open Access Journals (Sweden)

    K. Toyota

    2003-09-01

    Full Text Available A new chemical scheme is developed for the multiphase photochemical box model SEAMAC (size-SEgregated Aerosol model for Marine Air Chemistry to investigate photochemical interactions between volatile organic compounds (VOCs and reactive halogen species in the marine boundary layer (MBL. Based primarily on critically evaluated kinetic and photochemical rate parameters as well as a protocol for chemical mechanism development, the new scheme has achieved a near-explicit treatment of oxidative degradation of up to C3-hydrocarbons CH4, C2H6, C3H8, C2H4, C3H6, and C2H2 initiated by reactions with OH radicals, Cl- and Br-atoms, and O3. Rate constants and product yields for reactions involving halogen species are taken from the literature where available, but the majority of them need to be estimated. In particular, addition reactions of halogen atoms with alkenes will result in the formation of halogenated organic intermediates, whose photochemical loss rates are carefully evaluated in the present work. Model calculations with the new chemical scheme reveal that the oceanic emissions of acetaldehyde (CH3CHO and alkenes (especially C3H6 are important factors for regulating reactive halogen chemistry in the MBL by promoting the conversion of Br atoms into HBr or more stable brominated intermediates in the organic form. The latter include brominated hydroperoxides, bromoacetaldehyde, and bromoacetone, which sequester bromine from reactive inorganic pool. The total mixing ratio of brominated organic species thus produced is likely to reach 10-20% or more of that of inorganic gaseous bromine species over wide regions over the ocean. On the other hand, the reaction between Br atoms and C2H2 is unimportant for determining the degree of bromine activation in the

  11. Inhibition of high-mobility group box 1 as therapeutic option in autoimmune disease : lessons from animal models

    NARCIS (Netherlands)

    Schaper, Fleur; Heeringa, Peter; Bijl, Marc; Westra, Johanna

    2013-01-01

    Purpose of review High-mobility group box 1 (HMGB1) is a molecule that has gained much attention in the last couple of years as an important player in innate immune responses and modulating factor in several (auto) immune diseases. Furthermore, advancements have been made in identifying the diverse

  12. DETECTION OF EXTRA-NUCLEAR HIGH MOBILITY GROUP BOX-1 PROTEIN IN A CANINE MODEL OF MYOCARDIAL INFARCTION

    Science.gov (United States)

    The high mobility group box-1 protein (HMGB-1) is a well-characterized nuclear protein recently shown to be involved in endotoxin-induced inflammation and injury. Studies have linked HMGB-1 release to the production of pro-inflammatory cytokines; however, a role for HMGB-1 in other disorders involvi...

  13. Modelling Work-Related Training and Training Effects Using Count Data Techniques

    OpenAIRE

    Arulampalam, Wiji; Booth, Alison L; Elias, Peter

    1997-01-01

    This paper estimates the determinants of the number of work-related training courses, and their impact on expected wages growth, using longitudinal data from the British National Child Development Study. The analysis covers a crucial decade in the working lives of a cohort of young men – from the age of 23 to 33. We use hurdle negative binomial models to estimate the number of work-related training events. This approach allows us to account for the fact that half of all sample members experie...

  14. Package PowerTrain: A Modelica library for modeling and simulation of vehicle power trains

    OpenAIRE

    Otter, Martin; Dempsey, Mike; Schlegel, Clemens

    2000-01-01

    In this article a new Modelica library to model vehicle power trains is discussed. An overview of the elements within the library is given, such as planetary gearsets, laminar clutches, torque losses, driver, warm up model. The library is demonstrated through the discussion of two illustrative examples, for drive cycle fuel consumption prediction and for investigating gearshift transition dynamics of an automatic gearbox. Together with the Modelica simulation environment Dymola, this library ...

  15. Modeling of an ionic polymer metal composite actuator based on an extended Kalman filter trained neural network

    Science.gov (United States)

    Quang Truong, Dinh; Ahn, Kyoung Kwan

    2014-07-01

    An ion polymer metal composite (IPMC) is an electroactive polymer that bends in response to a small applied electric field as a result of mobility of cations in the polymer network and vice versa. This paper presents an innovative and accurate nonlinear black-box model (NBBM) for estimating the bending behavior of IPMC actuators. The model is constructed via a general multilayer perceptron neural network (GMLPNN) integrated with a smart learning mechanism (SLM) that is based on an extended Kalman filter with self-decoupling ability (SDEKF). Here the GMLPNN is built with an ability to autoadjust its structure based on its characteristic vector. Furthermore, by using the SLM based on the SDEKF, the GMLPNN parameters are optimized with small computational effort, and the modeling accuracy is improved. An apparatus employing an IPMC actuator is first set up to investigate the IPMC characteristics and to generate the data for training and validating the model. The advanced NBBM model for the IPMC system is then created with the proper inputs to estimate IPMC tip displacement. Next, the model is optimized using the SLM mechanism with the training data. Finally, the optimized NBBM model is verified with the validating data. A comparison between this model and the previously developed model is also carried out to prove the effectiveness of the proposed modeling technique.

  16. Modeling of an ionic polymer metal composite actuator based on an extended Kalman filter trained neural network

    International Nuclear Information System (INIS)

    An ion polymer metal composite (IPMC) is an electroactive polymer that bends in response to a small applied electric field as a result of mobility of cations in the polymer network and vice versa. This paper presents an innovative and accurate nonlinear black-box model (NBBM) for estimating the bending behavior of IPMC actuators. The model is constructed via a general multilayer perceptron neural network (GMLPNN) integrated with a smart learning mechanism (SLM) that is based on an extended Kalman filter with self-decoupling ability (SDEKF). Here the GMLPNN is built with an ability to autoadjust its structure based on its characteristic vector. Furthermore, by using the SLM based on the SDEKF, the GMLPNN parameters are optimized with small computational effort, and the modeling accuracy is improved. An apparatus employing an IPMC actuator is first set up to investigate the IPMC characteristics and to generate the data for training and validating the model. The advanced NBBM model for the IPMC system is then created with the proper inputs to estimate IPMC tip displacement. Next, the model is optimized using the SLM mechanism with the training data. Finally, the optimized NBBM model is verified with the validating data. A comparison between this model and the previously developed model is also carried out to prove the effectiveness of the proposed modeling technique. (paper)

  17. Gelatin model for training ultrasound-guided puncture

    Directory of Open Access Journals (Sweden)

    Alexandre Campos Moraes Amato

    2015-09-01

    Full Text Available BACKGROUND: It is indispensable that members of the medical profession receive the technical training needed to enable them to rapidly obtain effective vascular access. Training procedures should be used judiciously to familiarize students with the technique. However, existing models are expensive or ineffective, and models need to be developed that are similar to what will be encountered in real patients.OBJECTIVES: To demonstrate creation and application of a gelatin model for training ultrasound-guided puncture.METHOS: The model was made using a mixture of colorless gelatin and water in a transparent plastic receptacle with two pairs of orifices of different diameters, through which two plastic tubes were inserted, to simulate blood vessels.RESULTS: The model was a close approximation to the real medical procedure in several aspects, since gelatin has a similar consistency to human tissues, providing a more faithful reproduction of the tactile sensation at the moment when the needle reaches the interior of a vessel and its contents are aspirated.CONCLUSIONS: The method proposed here can be used to easily construct a low-cost model using everyday materials that is suitable for large-scale training of ultrasound-guided puncture.

  18. Train Control System Formalization Modeling oriented Movement Authority

    Directory of Open Access Journals (Sweden)

    Xiaoming Wang

    2012-09-01

    Full Text Available Chinese Train Control System-3(CTCS-3 was integrated via various control system devices, assurance of CTCS-3 system transmission probability relied on empirical judgment, it is necessary to form its formalization to support integration for system stability of the whole CTCS-3. Movement Authority(MA acts on the whole information process of CTCS-3 to control train, its process properties can be as the reflection of CTCS probability. Aiming at that,  paper selected MA as the objective, proposed MA-oriented CTCS-3 formalization modeling. Paper designed generation and transmission algorithms of MA, formed MA computation models for application functions. Based on computation models, paper constructed MA hierarchical Colored Petri Nets(CPN models, and completed MA timed CPN model, the report and experimental result demonstrate that the model proposed is effective and can reflect CTCS-3 system properties accurately. 

  19. Stochastic models for spike trains of single neurons

    CERN Document Server

    Sampath, G

    1977-01-01

    1 Some basic neurophysiology 4 The neuron 1. 1 4 1. 1. 1 The axon 7 1. 1. 2 The synapse 9 12 1. 1. 3 The soma 1. 1. 4 The dendrites 13 13 1. 2 Types of neurons 2 Signals in the nervous system 14 2. 1 Action potentials as point events - point processes in the nervous system 15 18 2. 2 Spontaneous activi~ in neurons 3 Stochastic modelling of single neuron spike trains 19 3. 1 Characteristics of a neuron spike train 19 3. 2 The mathematical neuron 23 4 Superposition models 26 4. 1 superposition of renewal processes 26 4. 2 Superposition of stationary point processe- limiting behaviour 34 4. 2. 1 Palm functions 35 4. 2. 2 Asymptotic behaviour of n stationary point processes superposed 36 4. 3 Superposition models of neuron spike trains 37 4. 3. 1 Model 4. 1 39 4. 3. 2 Model 4. 2 - A superposition model with 40 two input channels 40 4. 3. 3 Model 4. 3 4. 4 Discussion 41 43 5 Deletion models 5. 1 Deletion models with 1nd~endent interaction of excitatory and inhibitory sequences 44 VI 5. 1. 1 Model 5. 1 The basic de...

  20. Modeling the Optimization of Intermodal Train Schedules

    DEFF Research Database (Denmark)

    Pedersen, Michael Berliner; Crainic, Teodor Gabriel

    those of direct door-to-door transportation. An intuitive idea is to reduce excess waiting time by synchronizing the schedules of the routes in the intermodal network. In this session we present a model based on the multicommodity network design problem that captures the synchronization aspect by...

  1. Modeling of power train by applying the virtual prototype concept; Kaso genkei ni yoru power train no model ka

    Energy Technology Data Exchange (ETDEWEB)

    Hiramatsu, S.; Harada, Y.; Arakawa, H.; Komori, S. [Mazda Motor Corp., Hiroshima (Japan); Sumida, S. [U-Shin Corp., Tokyo (Japan)

    1997-10-01

    This paper describes the simulation of power train that includes the model developed by applying the virtual prototype concept. By this concept, subsystem models which consist of functional model and mechanism models are integrated into a total system model. This peculiarity in architecture of model, which is called the hierarchical structure, enables us to model a system of large scale with many units, systems and parts easily. Two kinds of computer simulations are performed. One is engine revolution fluctuation by accessory load input, and the other is changing gears by automatic transmission. They are verified to have sufficient accuracy. 2 refs., 12 figs.

  2. A Time-Dependent SPICE Model for Single Electron Box and Its Application to Logic Gates at Low and High Temperatures

    International Nuclear Information System (INIS)

    In this paper, for the first time, a circuit model for single electron box (SEB) is introduced. The main feature of the proposed model is mapping the master equation, which explains the behavior of a single electron device, to a novel circuit model. The proposed model can be utilized in a circuit simulator such as SPICE. The proposed circuit model is a time dependent model which can be used in order to calculate the intrinsic time latency of the SEB. In addition, it is able to calculate the operation of a gate circuit in high temperatures. The correct operation of the proposed model is studied by utilizing the model for simulating two digital logic gates based on the SEB. The obtained results are compared with SIMON.

  3. Black-Box Search by Unbiased Variation

    DEFF Research Database (Denmark)

    Lehre, Per Kristian; Witt, Carsten

    2012-01-01

    The complexity theory for black-box algorithms, introduced by Droste, Jansen, and Wegener (Theory Comput. Syst. 39:525–544, 2006), describes common limits on the efficiency of a broad class of randomised search heuristics. There is an obvious trade-off between the generality of the black-box model...

  4. Response surface methodology (RSM) modeling of microwave-assisted extraction of natural dye from Swietenia mahagony: A comparation between Box-Behnken and central composite design method

    Science.gov (United States)

    Kusuma, Heri Septya; Sudrajat, Robby Ginanjar Margo; Susanto, David Febrilliant; Gala, Selfina; Mahfud, Mahfud

    2015-12-01

    The increasing demand of non-toxic and environmentally friendly dyes, colorants that come from natural source have risen as an alternative of sintetic poisonous dyes. In this research natural dye from S. mahagony was extracted using microwave-assisted extraction method under different operating condition such as extraction time (10-30min), plant material to solvent ratio (0.03-0.05g/mL) and microwave power level (100-380 watt). Box-Behnken method and central composite design (CCD) method is widely used for modeling response surface methodology (RSM), both methods show good prediction performance. In this study response surface methodology was performed to optimize the process, both methods were performed by the help Statgraphics Centurion 16 to evaluate the effects of different operating parameters. Finally, both methods were statistically compared by root mean square error (RMSE) and absolute average deviation (AAD) based on validation data set. Further, result suggests that CCD has better performance as compared to Box-Behnken method. The maximum yield obtained for Box-Behnken is 3.7647% (380 watt, 0.0339g/mL, 28.8899min) and 3.7506% (379.986 watt, 0.0378g/mL, 30min) for central composite design method.

  5. Hysteroscopic training: the butternut pumpkin model.

    Science.gov (United States)

    Kingston, Ashley; Abbott, Jason; Lenart, Meg; Vancaillie, Thierry

    2004-05-01

    Operative hysteroscopy involves significant hand-eye coordination, utilizing energy sources, video imaging, and the safe control of distending media. We describe a safe, effective, inexpensive, and reproducible method of developing the skills and hand-eye coordination for diagnostic and operative hysteroscopy. In this inanimate model, advanced surgical skills can be practiced, and realistic, simulated electrosurgery including resection of the endometrium and rollerball ablation can be performed. PMID:15200786

  6. Modeling the Responses to Resistance Training in an Animal Experiment Study

    OpenAIRE

    Philippe, Antony G.; Guillaume Py; Favier, François B.; Sanchez, Anthony M. J.; Anne Bonnieu; Thierry Busso; Robin Candau

    2015-01-01

    The aim of the present study was to test whether systems models of training effects on performance in athletes can be used to explore the responses to resistance training in rats. 11 Wistar Han rats (277 ± 15 g) underwent 4 weeks of resistance training consisting in climbing a ladder with progressive loads. Training amount and performance were computed from total work and mean power during each training session. Three systems models relating performance to cumulated training bouts have been t...

  7. Black-box modeling to estimate tissue temperature during radiofrequency catheter cardiac ablation: feasibility study on an agar phantom model

    International Nuclear Information System (INIS)

    The aim of this work was to study linear deterministic models to predict tissue temperature during radiofrequency cardiac ablation (RFCA) by measuring magnitudes such as electrode temperature, power and impedance between active and dispersive electrodes. The concept involves autoregressive models with exogenous input (ARX), which is a particular case of the autoregressive moving average model with exogenous input (ARMAX). The values of the mode parameters were determined from a least-squares fit of experimental data. The data were obtained from radiofrequency ablations conducted on agar models with different contact pressure conditions between electrode and agar (0 and 20 g) and different flow rates around the electrode (1, 1.5 and 2 L min−1). Half of all the ablations were chosen randomly to be used for identification (i.e. determination of model parameters) and the other half were used for model validation. The results suggest that (1) a linear model can be developed to predict tissue temperature at a depth of 4.5 mm during RF cardiac ablation by using the variables applied power, impedance and electrode temperature; (2) the best model provides a reasonably accurate estimate of tissue temperature with a 60% probability of achieving average errors better than 5 °C; (3) substantial errors (larger than 15 °C) were found only in 6.6% of cases and were associated with abnormal experiments (e.g. those involving the displacement of the ablation electrode) and (4) the impact of measuring impedance on the overall estimate is negligible (around 1 °C)

  8. Culture-Specific Counseling: An Alternative Training Model.

    Science.gov (United States)

    Nwachuku, Uchenna T.; Ivey, Allen E.

    1991-01-01

    Promotes culture-specific counseling approach, which starts with the culture and its people and searches out natural helping styles. Uses case model drawn from African-Igbo culture and applies anthropological constructs that seek to discover more culturally sensitive approach to counseling theory, to training in counseling skills and knowledge,…

  9. Model of knowledge management in mobile systems used for training

    Directory of Open Access Journals (Sweden)

    Chadwick CARRETO ARELLANO

    2014-11-01

    Full Text Available This work shows the development of a Knowledge Management Model (MAC applied to the training process in mobile devices for ease of use and access of different types of users to relevant information (anywhere and anytime. The MAC permit to manage knowledge, so that helps in the process of collection, classification and search of information according to a profile and academic needs as well as services related to the transformation of data and information for knowledge generation. The MAC aims to provide users, tools for skills development and allow the development of the training process with the use of limited capacity device with Internet connection.

  10. Communication Skills Training in Pediatric Oncology: Moving Beyond Role Modeling.

    Science.gov (United States)

    Feraco, Angela M; Brand, Sarah R; Mack, Jennifer W; Kesselheim, Jennifer C; Block, Susan D; Wolfe, Joanne

    2016-06-01

    Communication is central to pediatric oncology care. Pediatric oncologists disclose life-threatening diagnoses, explain complicated treatment options, and endeavor to give honest prognoses, to maintain hope, to describe treatment complications, and to support families in difficult circumstances ranging from loss of function and fertility to treatment-related or disease-related death. However, parents, patients, and providers report substantial communication deficits. Poor communication outcomes may stem, in part, from insufficient communication skills training, overreliance on role modeling, and failure to utilize best practices. This review summarizes evidence for existing methods to enhance communication skills and calls for revitalizing communication skills training within pediatric oncology. PMID:26822066

  11. Modelling of biospheric CO2 gross fluxes via oxygen isotopes in a spruce forest canopy: a 222Rn calibrated box model approach

    International Nuclear Information System (INIS)

    One-dimensional box model estimates of biospheric CO2 gross fluxes are presented. The simulations are based on a set of measurements performed during the EUROSIBERIAN CARBONFLUX intensive campaign between 27 July and 1 August 1999 in a natural Picea abies forest in Russia. CO2 mixing ratios and stable isotope ratios of CO2 were measured on flask samples taken in two heights within the canopy. Simultaneously, soil and leaf samples were collected and analysed to derive the 18O/16O ratio of the respective water reservoirs and the 13C/12C ratio of the leaf tissue. The main objective of this project was to investigate biospheric gas exchange with soil and vegetation, and thereby take advantage of the potential of the 18O/16O ratio in atmospheric CO2. Via exchange of oxygen isotopes with associated liquid water reservoirs, leaf CO2 assimilation fluxes generally enrich while soil CO2 respiration fluxes generally deplete the18O/16O ratio of atmospheric CO. In the model, we parameterised intra-canopy transport by exploiting soil-borne Rn as a tracer for turbulent transport. Our model approach showed that, using oxygen isotopes, the net ecosystem CO2 flux can be separated into assimilation and respiration yielding fluxes comparable with those derived by other methods. However, partitioning is highly sensitive to the respective discrimination factors, and therefore also on the parameterisation of internal leaf CO2 concentrations and gradients

  12. Spreadsheet decision support model for training exercise material requirements planning

    OpenAIRE

    Tringali, Arthur M

    1997-01-01

    Approved for public release; distribution is unlimited This thesis focuses on developing a spreadsheet decision support model that can be used by combat engineer platoon and company commanders in determining the material requirements and estimated costs associated with military training exercises. The model combines the business practice of Material Requirements Planning and the commercial spreadsheet software capabilities of Lotus 1-2-3 to calculate the requirements for food, consumable s...

  13. Simulating disturbances and modelling expected train passenger delays

    DEFF Research Database (Denmark)

    Landex, Alex; Nielsen, Otto Anker

    2006-01-01

    to estimate the actual passenger delays. The combination of the passenger regularity model with railway simulation software is described, demonstrating the possibility of predicting future passenger delays. The described passenger regularity model is run daily to calculate the passenger delays of the......Forecasts of regularity for railway systems have traditionally – if at all – been computed for trains, not for passengers. It has only relatively recently become possible to model and evaluate the actual passenger delays. This paper describes how it is possible to use a passenger regularity model...

  14. CONDUCTING AND ANALYZING THE RESULTS OF THE EXPERIMENTAL BOX TEST OF RETAINING WALL MODELS WITHOUT PILES AND ON THE PILE FOUNDATION

    Directory of Open Access Journals (Sweden)

    M. A. Lisnevskyi

    2015-08-01

    Full Text Available Purpose. Taking into consideration that the bearing capacity of the foundation may be insufficient, in the study it is assumed that pile foundation can be used to reduce the impact of the construction of new retaining structures on roads and railways near the existing buildings or in areas of dense urban development and ensure the stability of the foundation. To reduce the volume of excavation it is necessary to choose the economic structure of the retaining wall. To do this, one should explore stress-strain state (SSS of the retaining walls, to develop methods to improve their strength and stability, as well as to choose the most appropriate method of their analysis. Methodology. In the design of retaining walls foundation mat and piles are considered as independent elements. Since the combined effect of the retaining wall, piles and foundation mat as well as the effect of soil or rock foundation on the structure are considered not fully, so there are some limitations in the existing design techniques. To achieve the purpose the box tests of retaining walls models without piles and with piles for studying their interaction with the surrounding soil massif were conducted. Findings. Laboratory simulation of complex systems «surrounding soil – retaining wall – pile» was carried out and on the basis of the box test results were analyzed strains and its main parameters of the stress-strain state. Analysis of the results showed that the structure of a retaining wall with piles is steady and stable. Originality. So far, in Ukraine has not been carried out similar experimental box tests with models of retaining walls in such combinations. In the article has been presented unique photos and test results, as well as their analysis. Practical value. Using the methodology of experimental tests of the retaining wall models with piles and without them gives a wider opportunity to study stress-strain state of such structures.

  15. The French model of psychoanalytic training: Ethical conflicts.

    Science.gov (United States)

    François-Poncet, Claire-Marine

    2009-12-01

    Research on psychoanalytical education within the IPA may be clarified by reflecting on the ethic behind each of the three main models (Eitingonian, French and Uruguayan). In fact, the ethic underpinning psychoanalytical education, whatever the model, is confronted by irreducible conflicts between transmitting psychoanalysis by means of analytical experience or by means of academic teaching. Transmission by experience is essentially based on the ethic of psychoanalytic practice, which is difficult to regulate through institutional standards, whereas the academic aspect can be evaluated by objective and public criteria. The importance of both aspects and their relative weight in the training process depend on the conception of psychoanalysis underlying each model. This paper will look primarily at the French training model, the essentially analytical aspects of which favour the transmission of the very ethical foundations of psychoanalytic practice itself: the application of the method both as a working tool and as a tool of evaluation. It presupposes expanding the observation and analysis of transference beyond the framework of treatment to that of supervision. From this analysis, the paper will attempt to demonstrate how the French model proposes dealing with the inevitable conflicts between transmission by means of analysis and training by means of apprenticeship. PMID:20002823

  16. Common swine models of cardiovascular disease for research and training.

    Science.gov (United States)

    Crisóstomo, Verónica; Sun, Fei; Maynar, Manuel; Báez-Díaz, Claudia; Blanco, Virginia; Garcia-Lindo, Monica; Usón-Gargallo, Jesús; Sánchez-Margallo, Francisco Miguel

    2016-02-01

    Cardiovascular diseases are a major health concern and therefore an important topic in biomedical research. Large animal models allow researchers to assess the safety and efficacy of new cardiovascular procedures in systems that resemble human anatomy; additionally, they can be used to emulate scenarios for training purposes. Among the many biomedical models that are described in published literature, it is important that researchers understand and select those that are best suited to achieve the aims of their research, that facilitate the humane care and management of their research animals and that best promote the high ethical standards required of animal research. In this resource the authors describe some common swine models that can be easily incorporated into regular practices of research and training at biomedical institutions. These models use both native and altered vascular anatomy of swine to carry out research protocols, such as testing biological reactions to implanted materials, surgically creating aneurysms using autologous tissue and inducing myocardial infarction through closed-chest procedures. Such models can also be used for training, where native and altered vascular anatomy allow medical professionals to learn and practice challenging techniques in anatomy that closely simulates human systems. PMID:26814353

  17. Box-Behnken design in modeling of solid-phase tea waste extraction for the removal of uranium from water samples

    International Nuclear Information System (INIS)

    In this study, the solid-phase tea waste procedure was used for separation, preconcentration and determination of uranium from water samples by UV-Vis spectrophotometer. In addition, Box-Behnken experimental design was employed to investigated the influence of six variables including pH, mass of adsorbent, eluent volume, amount of 1-(2-pyridylazo)-2-naphthol (PAN); and sample and eluent flow rates on the extraction of analyte. High determination coefficient (R2) of 0.972 and adjusted-R2 of 0.943 showed the satisfactory adjustment of the polynomial regression model. This method was used for the extraction of uranium from real water samples.

  18. Shaping 3-D boxes

    DEFF Research Database (Denmark)

    Stenholt, Rasmus; Madsen, Claus B.

    2011-01-01

    Enabling users to shape 3-D boxes in immersive virtual environments is a non-trivial problem. In this paper, a new family of techniques for creating rectangular boxes of arbitrary position, orientation, and size is presented and evaluated. These new techniques are based solely on position data...

  19. Validation of medical modeling & simulation training devices and systems.

    Science.gov (United States)

    Magee, J Harvey

    2003-01-01

    For almost a decade, research has been conducted in many areas of science to develop medical simulation training devices and even comprehensive training systems. To propel the field, the Telemedicine and Advanced Technology Research Center (TATRC), an agency of the United States Army Medical Research Materiel Command (USAMRMC), has been managing a portfolio of research projects in the area of Medical Modeling and Simulation (MM&S) since 1999. Significant progress has made to identify and harness enabling technologies. Generally, these developments can be categorized in four areas: (1) PC-based interactive multimedia, (2) Digitally Enhanced Mannequins, (3) Virtual Workbench, or "part-task", simulators, and (4) Total Immersion Virtual Reality (TIVR). Many medical simulation-training systems have shown great potential to improve medical training, but the potential shown has been based largely on anecdotal feedback from informal user studies. Formal assessment is needed to determine the degree to which simulator(s) train medical skills and the degree to which skills learned on a simulator transfer to the practice of care. A robust methodology is required as a basis for these assessments. Several scientific workshops sponsored in 2001 focused on algorithm and metrics development in support of surgical simulation. Also in 2001, TATRC chartered a Simulation Working Group (SWG) to develop a robust methodology upon which to base an assessment of the effectiveness of simulation training devices and systems. After the terrorist attacks of September 11, 2001, attention was redirected for a period, and progress was delayed. In the summer of 2002, TATRC chartered a follow-on group called the Validation, Metrics and Simulation (VMAS) Committee. The poster will highlight and summarize the development of the methodology and identify validation studies to be conducted (supported by various funding sources and research programs). The interaction between TATRC and the National Capital

  20. Emerging alternative model for cardiothoracic surgery training in India

    Directory of Open Access Journals (Sweden)

    Rajan Vaithianathan

    2013-05-01

    Full Text Available Background: In India, cardiothoracic (CT surgery training follows a 3+3-year model, where 3 years of general surgery residency with certification (MS/DNB is required for entering 3 years of thoracic surgery residency (MCh/DNB. There are two certifying boards at the national level. One being the Medical Council of India (MCI, which oversees the major accreditation process involving the undergraduate and postgraduate medical education in India, and the other being the National Board of Examinations (NBE, which was formed for the purpose of establishing a uniform standard of postgraduate medical education. Recently, the latter body has come up with an alternative model for thoracic surgery residency in India. This model includes an integrated 6-year residency, with lesser emphasis on general surgical skills and greater exposure to CT surgery. Conclusions: Changes to the current model of training for CT surgery is the need of the hour and should be initiated very soon by the MCI to meet the future demand for CT surgeons in India. An integrated training program is essential to create a new generation of cardiovascular specialists. Future directions to achieve this goal must include modifications to the undergraduate programs so as to infuse interest for CT surgery in the young minds of medical students.

  1. An alternative experimental model for training in microsurgery

    Directory of Open Access Journals (Sweden)

    Ivan Maluf Junior

    2014-01-01

    Full Text Available OBJECTIVE: to describe a new model of training in microsurgery with pig spleen after splenectomy performed by undergraduate students of the Discipline of Operative Technique of the UFPR Medical School. METHODS: after the completion of splenectomy we performed dissection of the vascular pedicle, distal and proximal to the ligation performed for removal of the spleen. After complete dissection of the splenic artery and vein with microscope, clamps were placed and the vessels were cut. We then made the anastomosis of the vessels with 9.0 nylon. RESULT: the microsurgical training with a well-defined routine, qualified supervision and using low cost experimental materials proved to be effective in the practice of initial microvascular surgery. CONCLUSION: the use of pig spleen, which would be discarded after splenectomy, is an excellent model for microsurgical training, since besides having the consistency and sensitivity of a real model, it saves the sacrifice of a new animal model in the initial learning phase of this technique.

  2. Simulating train movement in railway traffic using a car-following model

    Institute of Scientific and Technical Information of China (English)

    Li Ke-Ping; Guan Li-Jia

    2009-01-01

    Based on a car-following model, in this paper, we propose a new traffic model for simulating train movement in railway traffic. In the proposed model, some realistic characteristics of train movement are considered, such as the distance headway and the safety stopping distance. Using the proposed traffic model, we analyse the space-time diagram of traffic flow, the trajectory of train movement, etc. Simulation results demonstrate that the proposed model can be successfully used for simulating the train movement. Some complex phenomena can be reproduced, such as the complex acceleration and deceleration of trains and the propagation of train delay.

  3. A three-dimensional neutronics model for reactor training simulators

    International Nuclear Information System (INIS)

    A training simulator that duplicates a Savannah River Plant (SRP) reactor control room is currently under construction. Because of the complexity of the SRP reactor control and instrumentation systems, a multinode neutronics model is necessary in order to simulate the reactor core behavior. A 240-node core model, using a semi-implicit (SI) solution technique, has been developed to fill that need. The SI model has been tested with a range of transients and is found to provide an accurate simulation with the potential of running significantly faster than real time on the reactor simulator minicomputer complex

  4. Discrete channel modelling based on genetic algorithm and simulated annealing for training hidden Markov model

    Institute of Scientific and Technical Information of China (English)

    Zhao Zhi-Jin; Zheng Shi-Lian; Xu Chun-Yun; Kong Xian-Zheng

    2007-01-01

    Hidden Markov models (HMMs) have been used to model burst error sources of wireless channels. This paper proposes a hybrid method of using genetic algorithm (GA) and simulated annealing (SA) to train HMM for discrete channel modelling. The proposed method is compared with pure GA, and experimental results show that the HMMs trained by the hybrid method can better describe the error sequences due to SA's ability of facilitating hill-climbing at the later stage of the search. The burst error statistics of the HMMs trained by the proposed method and the corresponding error sequences are also presented to validate the proposed method.

  5. Basic models modeling resistance training: an update for basic scientists interested in study skeletal muscle hypertrophy.

    Science.gov (United States)

    Cholewa, Jason; Guimarães-Ferreira, Lucas; da Silva Teixeira, Tamiris; Naimo, Marshall Alan; Zhi, Xia; de Sá, Rafaele Bis Dal Ponte; Lodetti, Alice; Cardozo, Mayara Quadros; Zanchi, Nelo Eidy

    2014-09-01

    Human muscle hypertrophy brought about by voluntary exercise in laboratorial conditions is the most common way to study resistance exercise training, especially because of its reliability, stimulus control and easy application to resistance training exercise sessions at fitness centers. However, because of the complexity of blood factors and organs involved, invasive data is difficult to obtain in human exercise training studies due to the integration of several organs, including adipose tissue, liver, brain and skeletal muscle. In contrast, studying skeletal muscle remodeling in animal models are easier to perform as the organs can be easily obtained after euthanasia; however, not all models of resistance training in animals displays a robust capacity to hypertrophy the desired muscle. Moreover, some models of resistance training rely on voluntary effort, which complicates the results observed when animal models are employed since voluntary capacity is something theoretically impossible to measure in rodents. With this information in mind, we will review the modalities used to simulate resistance training in animals in order to present to investigators the benefits and risks of different animal models capable to provoke skeletal muscle hypertrophy. Our second objective is to help investigators analyze and select the experimental resistance training model that best promotes the research question and desired endpoints. PMID:24375009

  6. Food Safety training: A Model HACCP Instructional Technique

    OpenAIRE

    Vassilis Georgakopoulos

    2008-01-01

    This research project reports the findings of an original study with regards to a new Hazard Analysis Critical Control Point (HACCP) instructional technique to be used for training purposes. The study investigated the effectiveness of a model HACCP instructional technique, the main characteristics of which are the adoption of a new methodology when teaching HACCP and the use of the emerging computer-based technology of Virtual Reality (VR). The findings highlight the advantages offered by the...

  7. Aesthetic Surgery Training during Residency in the United States: A Comparison of the Integrated, Combined, and Independent Training Models

    Directory of Open Access Journals (Sweden)

    Arash Momeni

    2014-01-01

    Full Text Available Background. Three educational models for plastic surgery training exist in the United States, the integrated, combined, and independent model. The present study is a comparative analysis of aesthetic surgery training, to assess whether one model is particularly suitable to provide for high-quality training in aesthetic surgery. Methods. An 18-item online survey was developed to assess residents’ perceptions regarding the quality of training in aesthetic surgery in the US. The survey had three distinct sections: demographic information, current state of aesthetic surgery training, and residents’ perception regarding the quality of aesthetic surgery training. Results. A total of 86 senior plastic surgery residents completed the survey. Twenty-three, 24, and 39 residents were in integrated, combined, and independent residency programs, respectively. No statistically significant differences were seen with respect to number of aesthetic surgery procedures performed, additional training received in minimal-invasive cosmetic procedures, median level of confidence with index cosmetic surgery procedures, or perceived quality of aesthetic surgery training. Facial aesthetic procedures were felt to be the most challenging procedures. Exposure to minimally invasive aesthetic procedures was limited. Conclusion. While the educational experience in aesthetic surgery appears to be similar, weaknesses still exist with respect to training in minimally invasive/nonsurgical aesthetic procedures.

  8. A train dispatching model based on fuzzy passenger demand forecasting during holidays

    OpenAIRE

    Fei Dou Dou; Jie Xu; Li Wang; Limin Jia

    2013-01-01

    Abstract: Purpose: The train dispatching is a crucial issue in the train operation adjustment when passenger flow outbursts. During holidays, the train dispatching is to meet passenger demand to the greatest extent, and ensure safety, speediness and punctuality of the train operation. In this paper, a fuzzy passenger demand forecasting model is put up, then a train dispatching optimization model is established based on passenger demand so as to evacuate stranded passengers effectively during...

  9. An Online Approach for Training International Climate Scientists to Use Computer Models

    Science.gov (United States)

    Yarker, M. B.; Mesquita, M. D.; Veldore, V.

    2013-12-01

    With the mounting evidence by the work of IPCC (2007), climate change has been acknowledged as a significant challenge to Sustainable Development by the international community. It is important that scientists in developing countries have access to knowledge and tools so that well-informed decisions can be made about the mitigation and adaptation of climate change. However, training researchers to use climate modeling techniques and data analysis has become a challenge, because current capacity building approaches train researchers to use climate models through short-term workshops, which requires a large amount of funding. It has also been observed that many participants who recently completed capacity building courses still view climate and weather models as a metaphorical 'black box', where data goes in and results comes out; and there is evidence that these participants lack a basic understanding of the climate system. Both of these issues limit the ability of some scientists to go beyond running a model based on rote memorization of the process. As a result, they are unable to solve problems regarding run-time errors, thus cannot determine whether or not their model simulation is reasonable. Current research in the field of science education indicates that there are effective strategies to teach learners about science models. They involve having the learner work with, experiment with, modify, and apply models in a way that is significant and informative to the learner. It has also been noted that in the case of computational models, the installation and set up process alone can be time consuming and confusing for new users, which can hinder their ability to concentrate on using, experimenting with, and applying the model to real-world scenarios. Therefore, developing an online version of capacity building is an alternative approach to the workshop training programs, which makes use of new technologies and it allows for a long-term educational process in a way

  10. Box and Gaussian plume models of the exhaust composition evolution of subsonic transport aircraft in- and out of the flight corridor

    Directory of Open Access Journals (Sweden)

    I. L. Karol

    Full Text Available A box and a Gaussian plume model including gas-phase photochemistry and with plume dispersion parameters estimated from the few available plume observations are proposed and used for evaluation of photochemical transformations of exhausts from a single subsonic transport aircraft. The effects of concentration inhomogeneities in the plume cross section on the photochemical sources and sinks in the plume are analyzed for various groups of compounds. The influence of these inhomogeneities on the rate and on the mass of ambient air entrainment into the plume are studied also by comparing the box and the Gaussian plume model simulations during the first hours of their "life''. Due to the enterance of HOx and NOx from ambient air into the plume with rates varying from the wind shear and turbulence conditions, the rate of emitted NOx oxidation in the plume is dependent on these and also on the background concentration levels of HOx and NOx.

  11. Quantifying and Reducing Model-Form Uncertainties in Reynolds-Averaged Navier-Stokes Equations: An Open-Box, Physics-Based, Bayesian Approach

    CERN Document Server

    Xiao, H; Wang, J -X; Sun, R; Roy, C J

    2015-01-01

    Despite their well-known limitations, Reynolds-Averaged Navier-Stokes (RANS) models are still the workhorse tools for turbulent flow simulations in today's engineering applications. For many practical flows, the turbulence models are by far the most important source of uncertainty. In this work we develop an open-box, physics-informed Bayesian framework for quantifying model-form uncertainties in RANS simulations. Uncertainties are introduced directly to the Reynolds stresses and are represented with compact parameterization accounting for empirical prior knowledge and physical constraints (e.g., realizability, smoothness, and symmetry). An iterative ensemble Kalman method is used to assimilate the prior knowledge and observation data in a Bayesian framework, and to propagate them to posterior distributions of velocities and other Quantities of Interest (QoIs). We use two representative cases, the flow over periodic hills and the flow in a square duct, to evaluate the performance of the proposed framework. Si...

  12. Training Post-9/11 Police Officers with a Counter-Terrorism Reality-Based Training Model: A Case Study

    Science.gov (United States)

    Biddle, Christopher J.

    2013-01-01

    The purpose of this qualitative holistic multiple-case study was to identify the optimal theoretical approach for a Counter-Terrorism Reality-Based Training (CTRBT) model to train post-9/11 police officers to perform effectively in their counter-terrorism assignments. Post-9/11 police officers assigned to counter-terrorism duties are not trained…

  13. Human-robot cross-training: Computational formulation, modeling and evaluation of a human team training strategy

    OpenAIRE

    Nikolaidis, Stefanos; Shah, Julie A.

    2013-01-01

    We design and evaluate human-robot cross-training, a strategy widely used and validated for effective human team training. Cross-training is an interactive planning method in which a human and a robot iteratively switch roles to learn a shared plan for a collaborative task. We first present a computational formulation of the robot's interrole knowledge and show that it is quantitatively comparable to the human mental model. Based on this encoding, we formulate human-robot cross-training and e...

  14. Outage Analysis of Train-to-Train Communication Model over Nakagami-m Channel in High-Speed Railway

    Directory of Open Access Journals (Sweden)

    Pengyu Liu

    2013-01-01

    Full Text Available This paper analyzes the end-to-end outage performance of high-speed-railway train-to-train communication model in high-speed railway over independent identical and nonidentical Nakagami-m channels. The train-to-train communication is inter-train communication without an aid of infrastructure (for base station. Source train uses trains on other rail tracks as relays to transmit signals to destination train on the same track. The mechanism of such communication among trains can be divided into three cases based on occurrence of possible-occurrence relay trains. We first present a new closed form for the sum of squared independent Nakagami-m variates and then derive an expression for the outage probability of the identical and non-identical Nakagami-m channels in three cases. In particular, the problem is improved by the proposed formulation that statistic for sum of squared Nakagami-m variates with identical m tends to be infinite. Numerical analysis indicates that the derived analytic results are reasonable and the outage performance is better over Nakagami-m channel in high-speed railway scenarios.

  15. Modelling expected train passenger delays on large scale railway networks

    DEFF Research Database (Denmark)

    Landex, Alex; Nielsen, Otto Anker

    2006-01-01

    Forecasts of regularity for railway systems have traditionally – if at all – been computed for trains, not for passengers. Relatively recently it has become possible to model and evaluate the actual passenger delays by a passenger regularity model for the operation already carried out. First the...... paper describes the passenger regularity model used to calculate passenger delays of the Copenhagen suburban rail network the previous day. Secondly, the paper describes how it is possible to estimate future passenger delays by combining the passenger regularity model with railway simulation software....... The paper demonstrates the possibility of predicting future passenger delays by calculating the expected passenger regularity of the entire Copenhagen suburban network. The results obtained with the passenger regularity model used together with the simulation software are very similar to the daily...

  16. Broken links and black boxes

    DEFF Research Database (Denmark)

    Sindbæk, Søren Michael

    2013-01-01

    Long-distance communication has emerged as a particular focus for archaeological exploration using network theory, analysis, and modelling. Initial attempts to adapt methods from social network analysis to archaeological data have, however, struggled to produce decisive results. This paper argues...... ruined network from observable distributions and patterns of association in the archaeological record. In formal terms this is not a problem of network analysis, but network synthesis: the classic problem of cracking codes or reconstructing black-box circuits....

  17. Effect of material uncertainties on dynamic response of segmental box girder bridge

    Directory of Open Access Journals (Sweden)

    Suchart Limkatanyu

    2007-11-01

    Full Text Available The main objective of this paper was to investigate the effect of material uncertainties on dynamic response of segmental box girder bridge subjected to a moving load, in this case a rapid passing trains. Literatures concerned with the design of segmental box girder bridge, the application of finite element analysis to model the segmental box girder bridge, and the minimum requirement for structural conditions of the bridge were described and discussed in detail. A series of finite element analysis was carried out using SAP2000 Nonlinear software. The effect was investigated by varying the Modulus of Elasticity by 5%, 10% and 15%. The results were then compared with the case of assumed uniform property which had already been checked for model accuracy using the Standard prEN 1991-2. The results showed that, for the uniform case, the dynamic responses of the bridge gave the highest response at the resonance speed. When considering the non-uniform material properties (non-uniform case, the effect of material uncertainties appeared to have an effect on both displacement and acceleration responses. Nonetheless, the dynamic factor provided in the design code was sufficient for designing the segmental box girder bridge with either uniform or non-uniform material properties for the train speeds considered in this study.

  18. Not Just a Black Box: Learning Important Features Through Propagating Activation Differences

    OpenAIRE

    Shrikumar, Avanti; Greenside, Peyton; Shcherbina, Anna; Kundaje, Anshul

    2016-01-01

    The purported "black box" nature of neural networks is a barrier to adoption in applications where interpretability is essential. Here we present DeepLIFT (Learning Important FeaTures), an efficient and effective method for computing importance scores in a neural network. DeepLIFT compares the activation of each neuron to its 'reference activation' and assigns contribution scores according to the difference. We apply DeepLIFT to models trained on natural images and genomic data, and show sign...

  19. Computed tomography-based training model for otoplasty.

    Science.gov (United States)

    Schneider, Gerlind; Voigt, Sibylle; Rettinger, Gerhard

    2016-09-01

    Otoplasty for the correction of protruding ears is characterized by various techniques and a common and popular cosmetic procedure. For the surgeon, whether beginner or advanced, it is essential to understand the principles and master techniques for standard auricular deformities before applying further sophisticated methods, because a lot of complications and failures are caused by wrong indication and incorrect surgical techniques. The different surgical steps are best learned from teaching models. Therefore, we developed two different silicone models of protruding ears with moderate auricular deformities: one with conchal hyperplasia for the training of conchal resection, and one without antihelix for creating an antihelical fold by suturing technique, based on computed tomography scans of patients. The silicone ear models were evaluated during four standardized surgery courses for residents in otorhinolaryngology by 91 participants using specially designed questionnaires. Nearly all participants rated the training on the auricular models as very helpful (n = 51) or good (n = 31); the scores for the different techniques and properties of the models ranged from 2.0 to 2.6 in a range from 1 (very good) to 4 (inadequate). The good results demonstrate the possibility for learning different surgical otoplasty techniques with this newly designed teaching tool. PMID:26541715

  20. The Maine Music Box

    OpenAIRE

    Lutz, Marilyn; Gallucci, Laura

    2005-01-01

    The paper describes the Maine Music Box and examines its potential as a tool for teaching and learning music. Pedagogical concepts are demonstrated using MIDI, Scorch, image and streaming video files.

  1. Voice box (image)

    Science.gov (United States)

    The larynx, or voice box, is located in the neck and performs several important functions in the body. The larynx is involved in swallowing, breathing, and voice production. Sound is produced when the air which ...

  2. Box Model of a Series of Salt Ponds, as Applied to the Alviso Salt Pond Complex, South San Francisco Bay, California

    Science.gov (United States)

    Lionberger, Megan A.; Schoellhamer, David H.; Shellenbarger, Gregory; Orlando, James L.; Ganju, Neil K.

    2007-01-01

    This report documents the development and application of a box model to simulate water level, salinity, and temperature of the Alviso Salt Pond Complex in South San Francisco Bay. These ponds were purchased for restoration in 2003 and currently are managed by the U.S. Fish and Wildlife Service to maintain existing wildlife habitat and prevent a build up of salt during the development of a long-term restoration plan. The model was developed for the purpose of aiding pond managers during the current interim management period to achieve these goals. A previously developed box model of a salt pond, SPOOM, which calculates daily pond volume and salinity, was reconfigured to simulate multiple connected ponds and a temperature subroutine was added. The updated model simulates rainfall, evaporation, water flowing between the ponds and the adjacent tidal slough network, and water flowing from one pond to the next by gravity and pumps. Theoretical and measured relations between discharge and corresponding differences in water level are used to simulate most flows between ponds and between ponds and sloughs. The principle of conservation of mass is used to calculate daily pond volume and salinity. The model configuration includes management actions specified in the Interim Stewardship Plan for the ponds. The temperature subroutine calculates hourly net heat transfer to or from a pond resulting in a rise or drop in pond temperature and daily average, minimum, and maximum pond temperatures are recorded. Simulated temperature was compared with hourly measured data from pond 3 of the Napa?Sonoma Salt Pond Complex and monthly measured data from pond A14 of the Alviso Salt-Pond Complex. Comparison showed good agreement of measured and simulated pond temperature on the daily and monthly time scales.

  3. Sequential Convex Programming for Power Set-point Optimization in a Wind Farm using Black-box Models, Simple Turbine Interactions, and Integer Variables

    DEFF Research Database (Denmark)

    Hovgaard, Tobias Gybel; Larsen, Lars F. S.; Jørgensen, John Bagterp;

    2012-01-01

    We consider the optimization of power set-points to a large number of wind turbines arranged within close vicinity of each other in a wind farm. The goal is to maximize the total electric power extracted from the wind, taking the wake effects that couple the individual turbines in the farm into...... account. For any mean wind speed, turbulence intensity, and direction we find the optimal static operating points for the wind farm. We propose an iterative optimization scheme to achieve this goal. When the complicated, nonlinear, dynamics of the aerodynamics in the turbines and of the fluid dynamics...... describing the turbulent wind fields’ propagation through the farm are included in a highly detailed black-box model, numerical results for any given values of the parameter sets can easily be evaluated. However, analytic expressions for model representation in the optimization algorithms might be hard to...

  4. Modelling and Simulation for Train Movement Control Using Car-Following Strategy

    International Nuclear Information System (INIS)

    Based on optimal velocity car-following model, in this paper, we propose a new railway traffic model for describing the process of train movement control. In the proposed model, we give an improved form of the optimal velocity function Vopt, which is considered as the desired velocity function for train movement control under different control conditions. In order to test the proposed model, we simulate and analyze the trajectories of train movements, moreover, discuss the relationship curves between the train allowable velocity and the site of objective point in detail. Analysis results indicate that the proposed model can well capture some realistic futures of train movement control. (general)

  5. Dust Plume Modeling at Fort Bliss: Full Training Scenario

    Energy Technology Data Exchange (ETDEWEB)

    Chapman, Elaine G.; Rishel, Jeremy P.; Rutz, Frederick C.; Seiple, Timothy E.; Newsom, Rob K.; Allwine, K Jerry

    2006-09-26

    The potential for air quality impacts from heavy mechanized vehicles operating in the training ranges and on the unpaved main supply routes at Fort Bliss is being investigated. The investigation uses the atmospheric modeling system DUSTRAN to simulate fugitive dust emission and dispersion from typical activities occurring on the installation. This report conveys the results of DUSTRAN simulations conducted using a “Full Training” scenario developed by Fort Bliss personnel. he Full Training scenario includes simultaneous off-road activities of two full Heavy Brigade Combat Teams (HCBTs) and one HCBT battalion on three training ranges. Simulations were conducted for the six-day period, April 25-30, 2005, using previously archived meteorological records. Simulation results are presented in the form of 24-hour average PM10 plots and peak 1-hour PM10 concentration plots, where the concentrations represent contributions resulting from the specified military vehicular activities, not total ambient PM10 concentrations. Results indicate that the highest PM10 contribution concentrations occurred on April 30 when winds were light and variable. Under such conditions, lofted particulates generated by vehicular movement stay in the area of generation and are not readily dispersed. The effect of training duration was investigated by comparing simulations with vehicular activity extending over a ten hour period (0700 to 1700 MST) with simulations where vehicular activity was compressed into a one hour period (0700 to 0800 MST). Compressing all vehicular activity into one hour led to higher peak one-hour and 24-hour average concentration contributions, often substantially higher.

  6. Transfer between training of part-tasks in complex skill training : Model development and supporting data

    NARCIS (Netherlands)

    Roessingh, J.J.M.; Kappers, A.M.L.; Koenderink, J.J.

    2002-01-01

    One of the most common instruction-strategies for training complex skills is part-training. A complex task can often be divided into part-tasks. Part-training requires that certain part-tasks or combinations of part-tasks be practised in isolation in order to promote the transfer of skills that are

  7. Gray-box model for energy-efficient selection of set point hysteresis in heating, ventilation, air conditioning, and refrigeration controllers

    International Nuclear Information System (INIS)

    Highlights: • A gray-box model is proposed for energy-efficient selection of on/off set points. • Exponential temperature correlations are identified based on measurements. • Air conditioning set points are designed to achieve the highest energy efficiency. • Design constraints on compressor and room temperature are considered in the model. • Average cooling power and temperature are estimated for any set point pair. - Abstract: Many heating, ventilation, air conditioning, and refrigeration systems operate using on/off controllers. A high and a low set point are selected above and below the desired temperature to command the refrigeration cycle to turn on or off when those temperatures are reached. In this study, exponential temperature correlations are used in a gray-box approach to provide information about the estimated mean temperature, average power consumption, and number of compressor starts per hour. Based on the governing equations and the heat balance of the system, a set of formulations is developed as a new analytical tool for the design of set points. It is discussed that for any specific application, the set point values can be properly selected to minimize the overall energy consumption subject to the design constraints. It is shown through an experimental study that the selection of the set points can affect the overall energy consumption by up to 49% for the same desired temperature. It is also shown that there is a further opportunity for increasing the energy efficiency by 6.6% using different high and low set point hysteresis values. The developed model can be used for designing and analyzing new systems. It can also be used for retrofitting existing units and achieving the highest energy efficiency subject to the design constraints

  8. The Impact of the Developmental Training Model on Staff Development in Air Force Child Development Programs

    Science.gov (United States)

    Bird, Candace Maria Edmonds

    2010-01-01

    In an effort to standardize training delivery and to individualize staff development based on observation and reflective practice, the Air Force implemented the Developmental Training Model (DTM) in its Child Development Programs. The goal of the Developmental Training Model is to enhance high quality programs through improvements in the training…

  9. SET Backaction on the Single Electron Box

    OpenAIRE

    Turek, B. A.; Lehnert, K. W.; Clerk, A.; Gunnarsson, D.; Bladh, K.; Delsing, P.; Schoelkopf, R. J.

    2005-01-01

    We report an experimental observation of the backaction of a Single Electron Transistor (SET) measuring the Coulomb staircase of a single electron box. As current flows through the SET, the charge state of the SET island fluctuates. These fluctuations capacitively couple to the box and cause changes in the position, width, and asymmetry of the Coulomb staircase. A sequential tunnelling model accurately recreates these effects, confirming this mechanism of the backaction of an SET. This is a f...

  10. Business plan PME.Box: internationalization to Spain

    OpenAIRE

    Pinto, Diogo José Gomes Ferreira

    2011-01-01

    The document herein described, provides detailed information of the development of PME.BOX Business Plan regarding the expansion to a detailed overview of the business model and strategies that PME.BOX looks to implement in order to maximize its business reach and in turn generate revenue. PME.BOX (firm) is an IT start up firm based in Madan Par the commercial rights of pme.box (software). Pme.box is a touch management solution intended to help small and medium enterprises (SMEs) in ...

  11. Pharmacy Students’ Knowledge of Black Box Warnings

    Science.gov (United States)

    Shireman, Theresa I.; Generali, Joyce; Rigler, Sally; Mayorga, Angela

    2010-01-01

    Objective To evaluate the progression of pharmacy students’ knowledge of black box warnings across 3 years of didactic training, and to determine how they stay current with new warnings. Methods A cross-sectional survey instrument was administered to pharmacy students in their first (P1), second (P2), and third (P3) professional years. The survey assessed student awareness of medications possessing a black box warning and familiarity with the warning content for 20 medications (15 with and 5 without warnings). Results Mean number of correct responses identifying the presence or absence of a black box warning among the 20 medications were 5.8 ± 3.3, 9.6 ± 4.0, and 14.8 ± 2.8 for the P1, P2, and P3 students, respectively. Knowledge of black box warning content was variable. Students were least aware of the warning content for stavudine and enoxaparin. Students were most familiar with the warning content for paroxetine and estrogen. Conclusion Students’ awareness and understanding of black box warnings was proportional to their educational progression, but their knowledge level was inconsistent across drug groups. PMID:20221356

  12. Box-Behnken design in modeling of solid-phase tea waste extraction for the removal of uranium from water samples

    Energy Technology Data Exchange (ETDEWEB)

    Khajeh, Mostafa; Jahanbin, Elham; Ghaffari-Moghaddam, Mansour; Moghaddam, Zahra Safaei [Zabol Univ. (Iran, Islamic Republic of). Dept. of Chemistry; Bohlooli, Mousa [Zabol Univ. (Iran, Islamic Republic of). Dept. of Biology

    2015-07-01

    In this study, the solid-phase tea waste procedure was used for separation, preconcentration and determination of uranium from water samples by UV-Vis spectrophotometer. In addition, Box-Behnken experimental design was employed to investigated the influence of six variables including pH, mass of adsorbent, eluent volume, amount of 1-(2-pyridylazo)-2-naphthol (PAN); and sample and eluent flow rates on the extraction of analyte. High determination coefficient (R{sup 2}) of 0.972 and adjusted-R{sup 2} of 0.943 showed the satisfactory adjustment of the polynomial regression model. This method was used for the extraction of uranium from real water samples.

  13. PWR plant operator training used full scope simulator incorporated MAAP model

    International Nuclear Information System (INIS)

    NTC makes an effort with the understanding of plant behavior of core damage accident as part of our advanced training. For the Fukushima Daiichi Nuclear Power Station accident, we introduced the MAAP model into PWR operator training full scope simulator and also made the Severe Accident Visual Display unit. From 2014, we will introduce new training program for a core damage accident with PWR operator training full scope simulator incorporated the MAAP model and the Severe Accident Visual Display unit. (author)

  14. Genetically engineered mouse models for functional studies of SKP1-CUL1-F-box-protein (SCF) E3 ubiquitin ligases

    Institute of Scientific and Technical Information of China (English)

    Weihua Zhou; Wenyi Wei; Yi Sun

    2013-01-01

    The SCF (SKP1 (S-phase-kinase-associated protein 1),Cullin-1,F-box protein) E3 ubiquitin ligases,the founding member of Cullin-RING ligases (CRLs),are the largest family of E3 ubiquitin ligases in mammals.Each individual SCF E3 ligase consists of one adaptor protein SKP1,one scaffold protein cullin-1 (the first family member of the eight cullins),one F-box protein out of 69 family members,and one out of two RING (Really Interesting New Gene) family proteins RBX1/ROC1 or RBX2/ROC2/SAG/RNF7.Various combinations of these four components construct a large number of SCF E3s that promote the degradation of many key regulatory proteins in cell-context,temporally,and spatially dependent manners,thus controlling precisely numerous important cellular processes,including cell cycle progression,apoptosis,gene transcription,signal transduction,DNA replication,maintenance of genome integrity,and tumorigenesis.To understand how the SCF E3 ligases regulate these cellular processes and embryonic development under in vivo physiological conditions,a number of mouse models with transgenic (Tg) expression or targeted deletion of components of SCF have been established and characterized.In this review,we will provide a brief introduction to the ubiquitin-proteasome system (UPS) and the SCF E3 ubiquitin ligases,followed by a comprehensive overview on the existing Tg and knockout (KO) mouse models of the SCF E3s,and discuss the role of each component in mouse embryogenesis,cell proliferation,apoptosis,carcinogenesis,as well as other pathogenic processes associated with human diseases.We will end with a brief discussion on the future directions of this research area and the potential applications of the knowledge gained to more effective therapeutic interventions of human diseases.

  15. Box-modeling of the impacts of atmospheric nitrogen deposition and benthic remineralization on the nitrogen cycle of the eastern tropical South Pacific

    Science.gov (United States)

    Su, B.; Pahlow, M.; Oschlies, A.

    2015-09-01

    Both atmospheric deposition and benthic remineralization influence the marine nitrogen cycle, and hence ultimately also marine primary production. The biological and biogeochemical relations of the eastern tropical South Pacific (ETSP) to nitrogen deposition, benthic denitrification and phosphate regeneration are analysed in a prognostic box model of the oxygen, nitrogen and phosphorus cycles in the ETSP. In the model, atmospheric nitrogen deposition based on estimates for the years 2000-2009 is offset by half by reduced N2 fixation, with the other half transported out of the model domain. Both model- and data-based benthic denitrification are found to trigger nitrogen fixation, partly compensating for the NO3- loss. Since phosphate is the ultimate limiting nutrient in the model, enhanced sedimentary phosphate regeneration under suboxic conditions stimulates primary production and subsequent export production and NO3- loss in the oxygen minimum zone (OMZ). A sensitivity analysis of the local response to both atmospheric deposition and benthic remineralization indicates dominant stabilizing feedbacks in the ETSP, which tend to keep a balanced nitrogen inventory, i.e., nitrogen input by atmospheric deposition is counteracted by decreasing nitrogen fixation; NO3- loss via benthic denitrification is partly compensated by increased nitrogen fixation; enhanced nitrogen fixation stimulated by phosphate regeneration is partly removed by the stronger water-column denitrification. Even though the water column in our model domain acts as a NO3- source, the ETSP including benthic denitrification might become a NO3- sink.

  16. Box-modeling of the impacts of atmospheric nitrogen deposition and benthic remineralization on the nitrogen cycle of the eastern tropical South Pacific

    Directory of Open Access Journals (Sweden)

    B. Su

    2015-09-01

    Full Text Available Both atmospheric deposition and benthic remineralization influence the marine nitrogen cycle, and hence ultimately also marine primary production. The biological and biogeochemical relations of the eastern tropical South Pacific (ETSP to nitrogen deposition, benthic denitrification and phosphate regeneration are analysed in a prognostic box model of the oxygen, nitrogen and phosphorus cycles in the ETSP. In the model, atmospheric nitrogen deposition based on estimates for the years 2000–2009 is offset by half by reduced N2 fixation, with the other half transported out of the model domain. Both model- and data-based benthic denitrification are found to trigger nitrogen fixation, partly compensating for the NO3− loss. Since phosphate is the ultimate limiting nutrient in the model, enhanced sedimentary phosphate regeneration under suboxic conditions stimulates primary production and subsequent export production and NO3− loss in the oxygen minimum zone (OMZ. A sensitivity analysis of the local response to both atmospheric deposition and benthic remineralization indicates dominant stabilizing feedbacks in the ETSP, which tend to keep a balanced nitrogen inventory, i.e., nitrogen input by atmospheric deposition is counteracted by decreasing nitrogen fixation; NO3− loss via benthic denitrification is partly compensated by increased nitrogen fixation; enhanced nitrogen fixation stimulated by phosphate regeneration is partly removed by the stronger water-column denitrification. Even though the water column in our model domain acts as a NO3− source, the ETSP including benthic denitrification might become a NO3− sink.

  17. Spray irrigation of landfill leachate: estimating potential exposures to workers and bystanders using a modified air box model and generalised source term

    International Nuclear Information System (INIS)

    Generalised source term data from UK leachates and a probabilistic exposure model (BPRISC4) were used to evaluate key routes of exposure from chemicals of concern during the spraying irrigation of landfill leachate. Risk estimates secured using a modified air box model are reported for a hypothetical worker exposed to selected chemicals within a generalised conceptual exposure model of spray irrigation. Consistent with pesticide spray exposure studies, the key risk driver is dermal exposure to the more toxic components of leachate. Changes in spray droplet diameter (0.02-0.2 cm) and in spray flow rate (50-1000 l/min) have little influence on dermal exposure, although the lesser routes of aerosol ingestion and inhalation are markedly affected. The risk estimates modelled using this conservative worst case exposure scenario are not of sufficient magnitude to warrant major concerns about chemical risks to workers or bystanders from this practice in the general sense. However, the modelling made use of generic concentration data for only a limited number of potential landfill leachate contaminants, such that individual practices may require assessment on the basis of their own merits. - Modelling approaches are used to assess human exposure routes to chemicals during spray irrigation of landfill leachates

  18. Effectiveness of a training-of-trainers model in a HIV counseling and testing program in the Caribbean Region

    OpenAIRE

    McLaughlin Robert; Bruce Douglas; Weaver Marcia R; Mandel Brinnon; Hiner Cynthia A; Anderson Jean

    2009-01-01

    Abstract Objectives To evaluate the effectiveness and sustainability of a voluntary counseling and testing (VCT) training program based on a training-of-trainers (TOT) model in the Caribbean Region, we gathered data on the percentage of participants trained as VCT providers who were providing VCT services, and those trained as VCT trainers who were conducting VCT training. Methods The VCT training program trained 3,489 providers in VCT clinical skills and 167 in VCT training skills within a d...

  19. A train dispatching model based on fuzzy passenger demand forecasting during holidays

    Directory of Open Access Journals (Sweden)

    Fei Dou Dou

    2013-03-01

    Full Text Available Abstract: Purpose: The train dispatching is a crucial issue in the train operation adjustment when passenger flow outbursts. During holidays, the train dispatching is to meet passenger demand to the greatest extent, and ensure safety, speediness and punctuality of the train operation. In this paper, a fuzzy passenger demand forecasting model is put up, then a train dispatching optimization model is established based on passenger demand so as to evacuate stranded passengers effectively during holidays. Design/methodology/approach: First, the complex features and regularity of passenger flow during holidays are analyzed, and then a fuzzy passenger demand forecasting model is put forward based on the fuzzy set theory and time series theory. Next, the bi-objective of the train dispatching optimization model is to minimize the total operation cost of the train dispatching and unserved passenger volume during holidays. Finally, the validity of this model is illustrated with a case concerned with the Beijing-Shanghai high-speed railway in China. Findings: The case study shows that the fuzzy passenger demand forecasting model can predict outcomes more precisely than ARIMA model. Thus train dispatching optimization plan proves that a small number of trains are able to serve unserved passengers reasonably and effectively. Originality/value: On the basis of the passenger demand predictive values, the train dispatching optimization model is established, which enables train dispatching to meet passenger demand in condition that passenger flow outbursts, so as to maximize passenger demand by offering the optimal operation plan.

  20. Porcine Model In The Laparoscopic Liver Surgery Training

    Directory of Open Access Journals (Sweden)

    Komorowski Andrzej L.

    2015-08-01

    Full Text Available The aim of the study was to evaluate the possibility to use live anesthetized pigs as a model for laparoscopic liver resection. During two days laparoscopy course two trainees were operating on two live animals performing exposure of the liver, Pringle manoeuver, division of liver ligaments, dissecting of the structures inside the hepatoduodenal ligament, dissection of the hepatic veins and left lateral liver sectionectomy. Exposure of the liver and Pringle manoeuver were performed correctly within 50 and 35 minutes. Left lateral sectionectomy has been performed correctly within 2 hours. The full dissection of the hepatoduodenal ligament and exposure of the hepatic veins were judged as insufficient by experienced laparoscopic tutors. There was one injury to the suprahepatic vena cava that was managed laparoscopically. The porcine model can be used as an advanced training for laparoscopic liver surgery.

  1. Designing a training tool for imaging mental models

    Science.gov (United States)

    Dede, Christopher J.; Jayaram, Geetha

    1990-01-01

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

  2. Opto-Box

    CERN Document Server

    Bertsche, David; The ATLAS collaboration; Welch, Steven; Smith, Dale Shane; Che, Siinn; Gan, K.K.; Boyd, George Russell Jr

    2015-01-01

    The opto-box is a custom mini-crate for housing optical modules, which process and transfer optoelectronic data. The system tightly integrates electrical, mechanical, and thermal functionality into a small package of size 35x10x8 cm^3. Special attention was given to ensure proper shielding, grounding, cooling, high reliability, and environmental tolerance. The custom modules, which incorporate Application Specific Integrated Circuits (ASICs), were developed through a cycle of rigorous testing and redesign. In total, fourteen opto-boxes have been installed and loaded with modules on the ATLAS detector. They are currently in operation as part of the LHC run 2 data read-out chain.

  3. Designing a Model of Vocational Training Programs for Disables through ODL

    Science.gov (United States)

    Majid, Shaista; Razzak, Adeela

    2015-01-01

    This study was conducted to designing a model of vocational training programs for disables. For this purpose desk review was carried out and the vocational training models/programs of Israel, U.K., Vietnam, Japan and Thailand were analyzed to form a conceptual framework of the model. Keeping in view the local conditions/requirements a model of…

  4. Training for effective public outreach: A model for transportation risk communication training

    International Nuclear Information System (INIS)

    The Department of Energy is developing a transportation-specific risk communication training and instructor preparation program to build the capability of employees and others in more effectively communicating with the public about nuclear materials transportation activities. The training employs transportation-specific scenarios and examples to help participants apply risk communication principles to both routine and emergency situations. Instructor preparation includes participation in the training, additional work in risk communication and transportation issues, and opportunities to team with more experienced instructors to conduct the training

  5. Enhanced Simulink Induction Motor Model for Education and Maintenance Training

    Directory of Open Access Journals (Sweden)

    Manuel Pineda-Sanchez

    2012-04-01

    Full Text Available The training of technicians in maintenance requires the use of signals produced by faulty machines in different operating conditions, which are difficult to obtain either from the industry or through destructive testing. Some tasks in electricity and control courses can also be complemented by an interactive induction machine model having a wider internal parameter configuration. This paper presents a new analytical model of induction machine under fault, which is able to simulate induction machines with rotor asymmetries and eccentricity in different load conditions, both stationary and transient states and yielding magnitudes such as currents, speed and torque. This model is faster computationally than the traditional method of simulating induction machine faults based on the Finite Element Method and also than other analytical models due to the rapid calculation of the inductances. The model is presented in Simulink by Matlab for the comprehension and interactivity with the students or lecturers and also to allow the easy combination of the effect of the fault with external influences, studying their consequences on a determined load or control system. An associated diagnosis tool is also presented.

  6. A neuron model of stochastic resonance using rectangular pulse trains.

    Science.gov (United States)

    Danziger, Zachary; Grill, Warren M

    2015-02-01

    Stochastic resonance (SR) is the enhanced representation of a weak input signal by the addition of an optimal level of broadband noise to a nonlinear (threshold) system. Since its discovery in the 1980s the domain of input signals shown to be applicable to SR has greatly expanded, from strictly periodic inputs to now nearly any aperiodic forcing function. The perturbations (noise) used to generate SR have also expanded, from white noise to now colored noise or vibrational forcing. This study demonstrates that a new class of perturbations can achieve SR, namely, series of stochastically generated biphasic pulse trains. Using these pulse trains as 'noise' we show that a Hodgkin Huxley model neuron exhibits SR behavior when detecting weak input signals. This result is of particular interest to neuroscience because nearly all artificial neural stimulation is implemented with square current or voltage pulses rather than broadband noise, and this new method may facilitate the translation of the performance gains achievable through SR to neural prosthetics. PMID:25186655

  7. A complementary model for medical subspecialty training in South Africa.

    Science.gov (United States)

    Dalmeyer, J Paul F; Struwig, Miemie; Kruger, Thinus F

    2016-01-01

    The shortage of healthcare workers and doctors in the developing world compared with the developed world is problematic, and will continue to be so owing to the ongoing migration of qualified professionals and the inability of the state to remedy the shortfalls. This will seriously hamper the government's National Health Insurance plan and the sustainability of South Africa (SA)'s healthcare sector. Furthermore, it is well known that the duration of medical training in SA is exceptionally long, which discourages trainees. Medical corporates have taken a limited initiative to fund education projects in collaboration with academic institutions. These projects have been unstructured, mostly ad hoc, and poorly co-ordinated. The private corporate medical sector has expressed a desire to become involved on a much larger scale by means of more formalised structures. Given this background, the primary objective of our research was to develop a business model to complement the current academic medical subspecialty training. PMID:27138655

  8. A simple model to predict train-induced vibration: theoretical formulation and experimental validation

    International Nuclear Information System (INIS)

    No suitable handy tool is available to predict train-induced vibration on environmental impact assessment. A simple prediction model is proposed which has been calibrated for high speed trains. The model input data are train characteristics, train speed and track properties; model output data are soil time-averaged velocity and velocity level. Model results have been compared with numerous vibration data retrieved from measurement campaigns led along the most important high-speed European rail tracks. Model performances have been tested by comparing measured and predicted vibration values

  9. Teaching with Box Tops.

    Science.gov (United States)

    Raiser, Lynne; D'Zamko, Mary Elizabeth

    1984-01-01

    Using environmental materials (such as the phone book and placemats from fast food restaurants) can be a motivating way to teach learning disabled students skills and concepts, as shown in an approach to reading, math, science and nutrition, and social studies instruction using a JELL-O brand gelatin box. (CL)

  10. Hydrophobic, Porous Battery Boxes

    Science.gov (United States)

    Bragg, Bobby J.; Casey, John E., Jr.

    1995-01-01

    Boxes made of porous, hydrophobic polymers developed to contain aqueous potassium hydroxide electrolyte solutions of zinc/air batteries while allowing air to diffuse in as needed for operation. Used on other types of batteries for in-cabin use in which electrolytes aqueous and from which gases generated during operation must be vented without allowing electrolytes to leak out.

  11. Glove box posting system

    International Nuclear Information System (INIS)

    A system for posting objects into closed containers, such as glove boxes, is described in which the bag used, preferably made of plastic, does not have to be fitted and sealed by the operator during each posting operation. (U.K.)

  12. Cereal Box Totems.

    Science.gov (United States)

    Jones, AnnMarie

    2002-01-01

    Presents a multicultural project used with fourth-grade students in which they created a three-dimensional totem pole using leftover cereal boxes. Discusses in detail how to create the totem pole. Explains that students learned about Northwest American Indians in class. (CMK)

  13. The East African Training Initiative. A Model Training Program in Pulmonary and Critical Care Medicine for Low-Income Countries.

    Science.gov (United States)

    Sherman, Charles B; Carter, E Jane; Braendli, Otto; Getaneh, Asqual; Schluger, Neil W

    2016-04-01

    Despite an extensive burden of lung disease in East Africa, there are remarkably few pulmonary physicians in the region and no pulmonary subspecialty training programs. We developed a unique training program for pulmonary medicine in Ethiopia. The East African Training Initiative (EATI) is a 2-year fellowship program at Tikur Anbessa (Black Lion) Specialized Teaching Hospital, the largest public hospital in Ethiopia and the teaching hospital for the Addis Ababa University School of Medicine. The first year is devoted to clinical care and procedural skills. Lectures, conferences, daily inpatient and outpatient rounds, and procedure supervision by visiting faculty provide the clinical knowledge foundation. In the second year, training in clinical research is added to ongoing clinical training. Before graduation, fellows must pass rigorous written and oral examinations and achieve high marks on faculty evaluations. Funding derives from several sources. Ethiopian trainees are paid by the Ethiopian Ministry of Health and the Addis Ababa University School of Medicine. The World Lung Foundation and the Swiss Lung Foundation supply travel and housing costs for visiting faculty, who receive no other stipend. The first two trainees graduated in January 2015, and a second class of three fellows completed training in January 2016. All five presented research abstracts at the annual meetings of the International Union Against Tuberculosis and Lung Disease in 2014 and 2015. The EATI has successfully provided pulmonary medicine training in Ethiopia and has capacity for local leadership. We believe that EATI could be a model for other resource-limited countries. PMID:26991950

  14. Designing A Model of Vocational Training Programs for Disables through ODL

    Directory of Open Access Journals (Sweden)

    Shaista MAJID

    2015-01-01

    Full Text Available This study was conducted to designing a model of vocational training programs for disables. For this purpose desk review was carried out and the vocational training models/programs of Israel, U.K., Vietnam, Japan and Thailand were analyzed to form a conceptual frame work of the model. Keeping in view the local conditions/requirements a model of vocational training program was proposed. The proposed model involved the vocational training plan for the job of cashier for mild group, receptionist for moderate and computer operator for severe group. It specified the type of disability as well involved in the training plan. The model recommended the vocational training of three levels of disability; mild, moderate and severe irrespective to the type. The model consisted of details of structure, objectives, professional support involved, vocational training plan and syllabus/activities, evaluation and on job training etc. International practices regarding VT mixed with the national existing situations were critically analyzed during desk review and finally a plan of VT for disables was proposed. A survey was conducted via a questionnaire to get opinion of the heads and senior vocational instructors of Federal Government vocational training and rehabilitation centers for PWDs. The collected data was statistically analyzed to quantify the suggestions on proposed model. The major findings included that all stakeholders considered VT helpful in rehabilitation of PWDs. All heads and vocational instructors are willing to adopt this model, minimum or no extra funds are needed in its implementation, the vocational teacher employed in the centers can easily manage to adopt this model at their centers because no extra training is required for the staff and they all endorse the VT plan proposed in this model. A vocational training model is required to reduce socio-economic gap and to set professional standards by developing human resources trained in trades. The

  15. A Risk and Prevention Counselor Training Program Model: Theory and Practice

    Science.gov (United States)

    Mason, Michael J.; Nakkula, Michael J.

    2008-01-01

    The need for training mental health counselors in risk and prevention is presented, and justification of the development of an innovative and integrative prevention training program is offered. Theoretical underpinnings that connect the counseling discipline to the field of prevention are described. A risk and prevention training model from…

  16. A Preliminary Study on the Training Model of Incoming Labor Forces by Higher Vocational Colleges

    Institute of Scientific and Technical Information of China (English)

    Fuxing; HAO; Li; LIU; Lijun; DING

    2013-01-01

    Based on the characteristics and employment situation of incoming labors,we should attach great importance to their training.With rich teaching resources,the higher vocational colleges should give full play to their advantages,get involved in the training,and enhance their studies of training models.

  17. Applied Research Consultants (ARC): A Vertical Practicum Model of Training Applied Research

    Science.gov (United States)

    Nadler, Joel T.; Cundiff, Nicole L.

    2009-01-01

    The demand for highly trained evaluation consultants is increasing. Furthermore, the gap between job seekers' evaluation competencies and job recruiters' expectations suggests a need for providing practical training experiences. A model using a vertical practicum (advanced students assisting in the training of newer students) is suggested as an…

  18. The Strategic Training of Employees Model (STEM): The Four P's Approach.

    Science.gov (United States)

    Wentland, Dan

    The Strategic Training of Employees Model (STEM) is a comprehensive training framework that balances the need for training against the constraints existing within organizations. The STEM is based on advances in economic and educational research. The following are among the theories that lay at the STEM's foundation: reinforcement theory; social…

  19. Child Sexual Abuse Prevention: Evaluation of a Teacher Training Model.

    Science.gov (United States)

    Kleemeier, Carol; And Others

    1988-01-01

    The effectiveness of a six-hour teacher training workshop on child sexual abuse prevention was evaluated. Findings indicated that trained teachers demonstrated significant increases in knowledge about child sexual abuse and pro-intervention opinions. Trained teachers were better able to identify behavioral indicators of abuse and suggest…

  20. The Infant Parent Training Institute: A Developmental Model for Training Infant Mental Health Professionals

    Science.gov (United States)

    Arons, Judith; Epstein, Ann; Sklan, Susan

    2011-01-01

    The Infant Parent Training Institute (IPTI) at Jewish Family and Children's Service of Greater Boston offers integrated clinical and theoretical infant mental health training. The curriculum reflects the belief that nurturing and reflective relationships promote optimal learning and growth. A specialty in infant mental health requires knowledge…

  1. Thinking Outside the Box

    International Nuclear Information System (INIS)

    The World Nuclear Transport Institute was formed to fill a need to provide a dedicated vehicle for the radioactive transport and packaging industry sectors worldwide, to exchange information and ideas, all with a view to working toward consolidated industry positions on the key issues affecting safe, efficient and reliable transport. WNTI was also intended to be a strong voice for industry in those international and national bodies where deliberations on such transport safety issues take place. The very fact that companies, sometimes in competition with each other, were prepared to come together in this way, reflects two important points: firstly, it represents an acknowledgement on industry's part that safe, effective and reliable transport is the sine qua non, the absolute essential. And second, it is a recognition that it is enhanced to the extent that industry is able to collaborate to this end. This is thinking outside the box. Another important attribute of safety is 'stability'. Everyone likes to know where he or she stands. The radioactive materials packaging and transport industry thrives within a stable regulatory framework for safety. For a stable regulatory regime allows operators to be properly trained; it allows operators to become familiar with safety requirements, and to be at ease with them. Stability is conducive to safety and efficiency. Stability is good for business too - for stability in package and transport requirements allows sufficient time for a fair return on investment in expensive package design, manufacture, licensing and use over time. Stability should not, however, be opposed to creativity. From experience we can develop new thinking to improve efficiency as illustrated in examples of work related to the packaging and transport of Uranium Concentrates for instance.. Another example is work within WNTI on the thermal test requirements for the packaging of uranium hexafluoride. The robustness of packages is based on the risk factors

  2. Artery Soft-Tissue Modelling for Stent Implant Training System

    Directory of Open Access Journals (Sweden)

    Giovanni Aloisio

    2004-08-01

    Full Text Available Virtual reality technology can be utilised to provide new systematic training methods for surgical procedures. Our aim is to build a simulator that allows medical students to practice the coronary stent implant procedure and avoids exposing patients to risks. The designed simulation system consists of a virtual environment and a haptic interface, in order to provide both the visualization of the coronary arteries and the tactile and force feedback generated during the interactions of the surgical instruments in the virtual environment. Since the arteries are soft tissues, their shape may change during an operation; for this reason physical modelling of the organs is necessary to render their behaviour under the influence of surgeon's instruments. The idea is to define a model that computes the displacement of the tissue versus time; from the displacement it is possible to calculate the response of the tissue to the surgical tool external stimuli. Information about tools displacements and tissue responses are also used to graphically model the artery wall and virtual surgical instrument deformations generated as a consequence of their coming into contact. In order to obtain a realistic simulation, the Finite Element Method has been used to model the soft tissues of the artery, using linear elasticity to reduce computational time and speed up interaction rates.

  3. Combined application of black box models to environmental tracer data for determination of transport and hydraulic parameters in karstic aquifer of Schneealpe (Austria)

    International Nuclear Information System (INIS)

    The Schneealpe karst massif of Triassic limestones and dolomites with the altitude up to 1800 m a.s.l., situated 100 km SW of Vienna in Kalkalpen, is the main drinking water resource for the city. The catchment area of about 23 km2 is drained by two springs: Wasseralmquelle (200 L/s) and Siebenquellen (310 L/s). This karstic aquifer is approximated by two interconnected parallel flow systems of: (a) a fissured-porous aquifer, and (b) karstic channels. The fissured-porous aquifer is of a high storage capacity and contains mobile water in the fissures and stagnant water in the porous matrix. The water enters this system at the surface and flows through it to the drainage channels, which are regarded as a separate flow system, finally drained by both springs. The channels are also connected with sinkholes, which introduce additional water directly from the surface. The measurements of 18O and tritium in precipitation (input functions) and springs (residence time distribution functions) were modelled by a combined application of black-box models. The modelling was performed for different hydraulic conditions, i.e., high and low discharges separately. It has yielded the information on the mean water volume in the whole catchment area and in both systems (channels and fissured-porous aquifer) as well as the volumetric flow rates through these systems and amount of water flowing directly to the springs from the sinkholes. (author)

  4. Evaluation of probabilistic flow predictions in sewer systems using grey box models and a skill score criterion

    DEFF Research Database (Denmark)

    Thordarson, Fannar Ørn; Breinholt, Anders; Møller, Jan Kloppenborg;

    2012-01-01

    term and a diffusion term, respectively accounting for the deterministic and stochastic part of the models. Furthermore, a distinction is made between the process noise and the observation noise. We compare five different model candidates’ predictive performances that solely differ with respect to the...... diffusion term description up to a 4 h prediction horizon by adopting the prediction performance measures; reliability, sharpness and skill score to pinpoint the preferred model. The prediction performance of a model is reliable if the observed coverage of the prediction intervals corresponds to the nominal...

  5. Seismic stability of a standalone glove box structure

    International Nuclear Information System (INIS)

    Highlights: • Glove box is a leak tight, safety related structure used for handling radiotoxic materials. • To study the seismic performance of a freestanding glove box, extensive shake table testing has been carried out. • Glove box maintained structural integrity and leak tightness up to design basis earthquake loading. • Detailed three-dimensional finite element model of the structure is developed and analyzed by using direct time integration methods. • Simplified numerical method is proposed and successfully applied, to quickly estimate sliding displacement and determine upper bounds for it. - Abstract: In a nuclear fuel cycle facility, radiotoxic materials are being handled in freestanding leak tight enclosures called glove boxes (GBs). These glove boxes act as a primary confinement for the radiotoxic materials. Glove boxes are designed as per codal requirements for class I component. They are designed to withstand extreme level of earthquake loading with a return period of 10,000 years. To evaluate seismic performance of the glove box, there is a need to check the stability (sliding and overturning), structural integrity (stresses and strains) and leak tightness under earthquake loading. Extensive shake table experiments were conducted on a single standalone glove box. Actual laboratory conditions were simulated during testing to check the response. After extensive shake table testing, glove box structure was also analyzed using finite element (FE) software. Detailed three-dimensional model of glove box structure was developed and analyzed using nonlinear time history method. It was observed that finite element methods could be utilized to accurately predict dynamic response of glove box structure. This paper discusses the details and results of shake table testing and methodology used for modelling and analysing freestanding glove box structure under seismic loading. In addition, simplified numerical procedure, developed using energy conservation

  6. Seismic stability of a standalone glove box structure

    Energy Technology Data Exchange (ETDEWEB)

    Saraswat, A., E-mail: anupams@barc.gov.in [Bhabha Atomic Research Centre, Mumbai (India); Reddy, G.R. [Bhabha Atomic Research Centre, Mumbai (India); Ghosh, S. [Indian Institute of Technology Bombay, Mumbai (India); Ghosh, A.K.; Kumar, Arun [Bhabha Atomic Research Centre, Mumbai (India)

    2014-09-15

    Highlights: • Glove box is a leak tight, safety related structure used for handling radiotoxic materials. • To study the seismic performance of a freestanding glove box, extensive shake table testing has been carried out. • Glove box maintained structural integrity and leak tightness up to design basis earthquake loading. • Detailed three-dimensional finite element model of the structure is developed and analyzed by using direct time integration methods. • Simplified numerical method is proposed and successfully applied, to quickly estimate sliding displacement and determine upper bounds for it. - Abstract: In a nuclear fuel cycle facility, radiotoxic materials are being handled in freestanding leak tight enclosures called glove boxes (GBs). These glove boxes act as a primary confinement for the radiotoxic materials. Glove boxes are designed as per codal requirements for class I component. They are designed to withstand extreme level of earthquake loading with a return period of 10,000 years. To evaluate seismic performance of the glove box, there is a need to check the stability (sliding and overturning), structural integrity (stresses and strains) and leak tightness under earthquake loading. Extensive shake table experiments were conducted on a single standalone glove box. Actual laboratory conditions were simulated during testing to check the response. After extensive shake table testing, glove box structure was also analyzed using finite element (FE) software. Detailed three-dimensional model of glove box structure was developed and analyzed using nonlinear time history method. It was observed that finite element methods could be utilized to accurately predict dynamic response of glove box structure. This paper discusses the details and results of shake table testing and methodology used for modelling and analysing freestanding glove box structure under seismic loading. In addition, simplified numerical procedure, developed using energy conservation

  7. Using ADDIE Model to Develop a Nursing Information System Training Program for New Graduate Nurse.

    Science.gov (United States)

    Lu, Sheng-Chieh; Cheng, Yu-Chen; Chan, Pi-Tuan

    2016-01-01

    This study is to develop a nursing information system (NIS) training program, and takes a local community teaching hospital in Taiwan for example. We adopt the ADDIE model to develop our NIS training program. We preliminaries followed the framework of the model to design a NIS training program, and implement it for the newcomers' training of nursing information system. After training course, the self-efficacy report has a significant (p<.000) improved compare to pre-test, and 88% of participants passed the pragmatic exam. PMID:27332436

  8. Implications of Big Box Retail Location on Regional Profits, Consumer Utility, and Land Rents

    OpenAIRE

    Stater, Mark; Visser, Michael S.

    2008-01-01

    This paper uses a monocentric city model to examine the effects of big box retailing on local retail prices, land values and utility. Relative to small local retailers, the big box offers a price discount that increases in its marginal cost advantage. Big box entry reduces local retail prices and profits, but provides an increase in household utility that depends positively on the distance between the big box location and the CBD. However, big box locations are unstable with imperfectly compe...

  9. The Impact of Personality on Training-Related Aspects of Motivation: Test of a Longitudinal Model

    Science.gov (United States)

    Rowold, Jens

    2007-01-01

    A model that proposed dispositional influences on training-related aspects of motivation was developed. More specifically, the model predicted influences of the Big Five personality variables on motivation to learn and transfer motivation, while controlling for general attitudes toward training. The model was tested empirically, drawing on a…

  10. TMOC: A Model for Lecturers' Training to Management of Online Courses in Higher-Education

    Science.gov (United States)

    Ghilay, Yaron; Ghilay, Ruth

    2014-01-01

    The study examined a new model called TMOC: Training to Management of Online Courses. The model is designed to train lecturers in higher-education to successfully create, deliver and develop online courses. The research was based on a sample of lecturers, who studied in a course based on the new model at the Mofet Institute in Tel-Aviv (n = 20).…

  11. Training courses on integrated safety assessment modelling for waste repositories

    International Nuclear Information System (INIS)

    Near-surface or deep repositories of radioactive waste are being developed and evaluated all over the world. Also, existing repositories for low- and intermediate-level waste often need to be re-evaluated to extend their license or to obtain permission for final closure. The evaluation encompasses both a technical feasibility as well as a safety analysis. The long term safety is usually demonstrated by means of performance or safety assessment. For this purpose computer models are used that calculate the migration of radionuclides from the conditioned radioactive waste, through engineered barriers to the environment (groundwater, surface water, and biosphere). Integrated safety assessment modelling addresses all relevant radionuclide pathways from source to receptor (man), using in combination various computer codes in which the most relevant physical, chemical, mechanical, or even microbiological processes are mathematically described. SCK-CEN organizes training courses in Integrated safety assessment modelling that are intended for individuals who have either a controlling or supervising role within the national radwaste agencies or regulating authorities, or for technical experts that carry out the actual post-closure safety assessment for an existing or new repository. Courses are organised by the Department of Waste and Disposal

  12. Decommissioning a small glove box

    International Nuclear Information System (INIS)

    An account is given of dismantling a fuel fabrication glove box using simple tooling. The fissile content of the box was first measured by several non-destructive techniques. After cleaning, the box was dismantled using hand tools and finally packed for disposal. A record of operator radiation doses, the time taken for each stage of the operation and packing information is given. (author)

  13. Opto-Box

    CERN Document Server

    Bertsche, David; The ATLAS collaboration

    2015-01-01

    The opto-box is a custom mini-crate for housing optical modules, which process and transfer optoelectronic data. Many novel solutions were developed for the custom design and manufacturing. The system tightly integrates electrical, mechanical, and thermal functionality into a small package of size 35x10x8 cm$^{3}$. Special attention was given to ensure proper shielding, grounding, cooling, high reliability, and environmental tolerance. The custom modules, which incorporate Application Specific Integrated Circuits (ASICs), were developed through a cycle of rigorous testing and redesign. In total, fourteen opto-boxes have been installed and loaded with modules on the ATLAS detector. They are currently in operation as part of the LHC run 2 data read-out chain.

  14. Assessment of training effects on employability within the institutional Spanish training model

    Directory of Open Access Journals (Sweden)

    Ramírez-del-Río, Antonio

    2011-12-01

    Full Text Available The association between quantity of training and employability was analysed through a non experimental research with two non equivalent groups. The operationalization of training quantity is considered to provide an indicator of training effort. Thus, training effort (number of courses was analysed as the independent variable and employability as dependent variable (occupation indicators, activity enhancement and job performance. The results show that training is related to activity enhancement, specially when workers belong to a small/medium enterprise (SME and/or to technical or qualified positions. A positive association between training and performance also appeared in the case of SMEs. Se analiza la asociación entre cantidad de formación y empleabilidad mediante una investigación no experimental con dos grupos no equivalentes. Se considera que la operativización de la cantidad de formación proporciona un indicador próximo al esfuerzo formativo realizado. Así, se estudió la variable independiente esfuerzo formativo (número de cursos y la dependiente, empleabilidad (indicadores de ocupación, enriquecimiento de actividad y desempeño. Los resultados muestran que la formación está asociada al enriquecimiento de la actividad, sobre todo si los trabajadores pertenecen a una PYME y/o a puestos técnicos o cualificados. También hay una asociación positiva entre formación y desempeño en PYMES.

  15. Using dynamic N-mixture models to test cavity limitation on northern flying squirrel demographic parameters using experimental nest box supplementation.

    Science.gov (United States)

    Priol, Pauline; Mazerolle, Marc J; Imbeau, Louis; Drapeau, Pierre; Trudeau, Caroline; Ramière, Jessica

    2014-06-01

    Dynamic N-mixture models have been recently developed to estimate demographic parameters of unmarked individuals while accounting for imperfect detection. We propose an application of the Dail and Madsen (2011: Biometrics, 67, 577-587) dynamic N-mixture model in a manipulative experiment using a before-after control-impact design (BACI). Specifically, we tested the hypothesis of cavity limitation of a cavity specialist species, the northern flying squirrel, using nest box supplementation on half of 56 trapping sites. Our main purpose was to evaluate the impact of an increase in cavity availability on flying squirrel population dynamics in deciduous stands in northwestern Québec with the dynamic N-mixture model. We compared abundance estimates from this recent approach with those from classic capture-mark-recapture models and generalized linear models. We compared apparent survival estimates with those from Cormack-Jolly-Seber (CJS) models. Average recruitment rate was 6 individuals per site after 4 years. Nevertheless, we found no effect of cavity supplementation on apparent survival and recruitment rates of flying squirrels. Contrary to our expectations, initial abundance was not affected by conifer basal area (food availability) and was negatively affected by snag basal area (cavity availability). Northern flying squirrel population dynamics are not influenced by cavity availability at our deciduous sites. Consequently, we suggest that this species should not be considered an indicator of old forest attributes in our study area, especially in view of apparent wide population fluctuations across years. Abundance estimates from N-mixture models were similar to those from capture-mark-recapture models, although the latter had greater precision. Generalized linear mixed models produced lower abundance estimates, but revealed the same relationship between abundance and snag basal area. Apparent survival estimates from N-mixture models were higher and less precise

  16. The Box Method

    DEFF Research Database (Denmark)

    Nielsen, Peter Vilhelm

    The velocity level in a room ventilated by jet ventilation is strongly influenced by the supply conditions. The momentum flow in the supply jets controls the air movement in the room and, therefore, it is very important that the inlet conditions and the numerical method can generate a satisfactor...... description of this momentum flow. The Box Method is a practical method for the description of an Air Terminal Device which will save grid points and ensure the right level of the momentum flow....

  17. An Extended Cellular Automaton Model for Train Traffic Flow on the Dedicated Passenger Lines

    Directory of Open Access Journals (Sweden)

    Wenbo Zhao

    2014-01-01

    Full Text Available As one of the key components for the railway transportation system, the Train Operation Diagram can be greatly influenced by many extrinsic and intrinsic factors. Therefore, the railway train flow has shown the strong nonlinear characteristics, which makes it quite difficult to take further relative studies. Fortunately, the cellular automaton model has its own advantages in solving nonlinear problems and traffic flow simulation. Considering the mixed features of multispeed running trains on the passenger dedicated lines, this paper presents a new train model under the moving block system with different types of trains running with the cellular automaton idea. By analyzing such key factors as the maintenance skylight, the proportion of the multispeed running trains, and the distance between adjacent stations and departure intervals, the corresponding running rules for the cellular automaton model are reestablished herewith. By means of this CA model, the program of train running system is designed to analyze the potential impact on railway carrying capacity by various factors; the model can also be implemented to simulate the actual train running process and to draw the train operation diagram by computers. Basically the theory can be applied to organize the train operation on the dedicated passenger lines.

  18. Learning with box kernels.

    Science.gov (United States)

    Melacci, Stefano; Gori, Marco

    2013-11-01

    Supervised examples and prior knowledge on regions of the input space have been profitably integrated in kernel machines to improve the performance of classifiers in different real-world contexts. The proposed solutions, which rely on the unified supervision of points and sets, have been mostly based on specific optimization schemes in which, as usual, the kernel function operates on points only. In this paper, arguments from variational calculus are used to support the choice of a special class of kernels, referred to as box kernels, which emerges directly from the choice of the kernel function associated with a regularization operator. It is proven that there is no need to search for kernels to incorporate the structure deriving from the supervision of regions of the input space, because the optimal kernel arises as a consequence of the chosen regularization operator. Although most of the given results hold for sets, we focus attention on boxes, whose labeling is associated with their propositional description. Based on different assumptions, some representer theorems are given that dictate the structure of the solution in terms of box kernel expansion. Successful results are given for problems of medical diagnosis, image, and text categorization. PMID:24051728

  19. Grey-box Modelling of a Household Refrigeration Unit Using Time Series Data in Application to Demand Side Management

    DEFF Research Database (Denmark)

    Sossan, Fabrizio; Lakshmanan, Venkatachalam; Costanzo, Giuseppe Tommaso;

    2016-01-01

    ) to shift the electricity consumption of a freezer in demand response experiments, thereby addressing the model selection problem also from the application point of view and showing in an experimental context the ability of MPC to exploit the freezer as a demand side resource (DSR)....

  20. The analytic solution of the firm's cost-minimization problem with box constraints and the Cobb-Douglas model

    Science.gov (United States)

    Bayón, L.; Grau, J. M.; Ruiz, M. M.; Suárez, P. M.

    2012-12-01

    One of the most well-known problems in the field of Microeconomics is the Firm's Cost-Minimization Problem. In this paper we establish the analytical expression for the cost function using the Cobb-Douglas model and considering maximum constraints for the inputs. Moreover we prove that it belongs to the class C1.

  1. Constructing Teaching Model for Training English Guides of Stone In-scription Relics

    Institute of Scientific and Technical Information of China (English)

    李慧

    2016-01-01

    A teaching model based on constructivism is proposed in this paper. The model contains five teaching steps, e.g. inter-pretation teaching, questioning-dialogue, knowledge and skills teaching, discussion-collaboration and field training. Practice proves that it can effectively improve the training efficiency of the training of English guides of stone inscription relics and en-hance their interpretation quality and English skills.

  2. Program To Operationalize a New Training Pattern for Training Evaluation Personnel in Education. Final Report. Part E - Report Synthesizing Evaluation of Development and Implementation of Model Training Program.

    Science.gov (United States)

    Speiss, Madeleine; And Others

    A major problem inherent in the synthesis of the Model Training Project (MTP) evaluation reports cited herein is the absence of the following: (1) a formal project evaluation design, (2) a set of adequate specifications or standards upon which to assess project activities, (3) concensus among project staff on specific criteria for project…

  3. Investigating Differences in Isoprene Oxidation Chemistry Between Gas-Phase Mechanisms Using a Constrained Chemical Box Model

    Science.gov (United States)

    Marvin, M. R.; Wolfe, G. M.; Salawitch, R. J.; Canty, T. P.; Hanisco, T. F.; Kaiser, J.; Keutsch, F. N.; Graus, M.; Warneke, C.; De Gouw, J. A.; Gilman, J.; Lerner, B. M.; Peischl, J.; Veres, P. R.; Min, K. E.; Holloway, J. S.; Aikin, K. C.; Ryerson, T. B.; Roberts, J. M.; Brown, S. S.; Pollack, I. B.; Hatch, C. D.; Lee, B. H.; Lopez-Hilfiker, F.; Thornton, J. A.; Diskin, G. S.; Sachse, G. W.; Huey, L. G.; Liu, X.; Wisthaler, A.; Mikoviny, T.; Wennberg, P. O.; St Clair, J.; Crounse, J.; Teng, A.

    2015-12-01

    Oxidation of isoprene by OH can significantly influence concentrations of important atmospheric pollutants such as ozone and secondary organic aerosols, but the chemistry that describes the relationships between these species is complex and not fully understood. Debate on the topic has led to differences in the isoprene oxidation schemes of several gas-phase chemical mechanisms currently applied in air chemistry models. We use the University of Washington Chemical Model (UWCMv3) to evaluate these mechanisms with respect to isoprene chemistry based on observations from the SENEX and SEAC4RS aircraft campaigns. The campaigns provide constraints on compounds measured over the Southeast United States, where isoprene concentrations are high and other conditions (e.g., NOx levels) vary widely. The payloads for both missions include observations of a wide range of isoprene oxidation products, which can provide insight into specific oxidation pathways. Analysis will focus on the characterization and comparison of isoprene oxidation chemistry for established gas-phase mechanisms that are prevalent in atmospheric modeling today, including the Carbon Bond mechanism (CB05 and CB6r2) and the Master Chemical Mechanism (versions 3.2 and 3.3).

  4. Determination of deep water circulation in the East Atlantic Ocean by means of a box-model based evaluation of C-14 measurements and other tracer data

    International Nuclear Information System (INIS)

    Radiocarbon (C-14) measurements proved to be an efficient means of determining the average, large-area deep water circulation in the Atlantic Ocean. The thesis under review explains and discusses measurements carried out in the equatorial West Atlantic and North Atlantic Ocean. The samples have been taken during mission 56 of the RS 'meteor' in spring 1981. The gas has been obtained by vacuum extraction and the measurements have been performed in proportional counter tubes, the error to be accounted for amounting to 2per mille. These measured data, together with measurements of the potential temperatures, the silicate and CO2 concentrations, and measured data from the South-East Atlantic Ocean, have been used to calculate on the basis of a box model of the Atlantic Ocean the deep water flow from the West to the East Atlantic Ocean, the deep water circulation between the various East Atlantic basins, and the turbulent diffusion coefficients required to parameterize the deep water mixing processes. (orig./HP)

  5. Different models of training and certification in plastic surgery

    NARCIS (Netherlands)

    Fodor, L.; Ciuce, C.; Fodor, M.; Shrank, C.; Lapid, O.; Kon, M.; Ramon, Y.; Ullmann, Y.

    2009-01-01

    A varying period of training followed by examinations is the usual way to become a specialist in one of the many fields of Medicine. Plastic Surgery is one of the surgical fields that require good technical and cognitive skills. The best way to train and evaluate a candidate is hard to judge. The mo

  6. Improving real-time train dispatching: models, algorithms and applications

    NARCIS (Netherlands)

    D'Ariano, A.

    2008-01-01

    Traffic controllers monitor railway traffic sequencing train movements and setting routes with the aim of ensuring smooth train behaviour and limiting as much as existing delays. Due to the strict time limit available for computing a new timetable during operations, which so far is rather infeasible

  7. Evaluating Vocational Educators' Training Programs: A Kirkpatrick-Inspired Evaluation Model

    Science.gov (United States)

    Ravicchio, Fabrizio; Trentin, Guglielmo

    2015-01-01

    The aim of the article is to describe the assessment model adopted by the SCINTILLA Project, a project in Italy aimed at the online vocational training of young, seriously-disabled subjects and their subsequent work inclusion in smart-work mode. It will thus describe the model worked out for evaluation of the training program conceived for the…

  8. Study on Innovation of Teacher Training Model in Basic Education from the Perspective of "Blended Learning"

    Science.gov (United States)

    Bu, Huabai; Bu, Shizhen

    2012-01-01

    Gradual integration of synergetic technology, P2P technology and online learning community furnishes a new research field for innovation of teacher training model in a knowledge economy era. This article proposes the innovative model of "whole of three lines" in teacher training in basic education from the perspective of "blended…

  9. Performance Improvement: Applying a Human Performance Model to Organizational Processes in a Military Training Environment

    Science.gov (United States)

    Aaberg, Wayne; Thompson, Carla J.; West, Haywood V.; Swiergosz, Matthew J.

    2009-01-01

    This article provides a description and the results of a study that utilized the human performance (HP) model and methods to explore and analyze a training organization. The systemic and systematic practices of the HP model are applicable to military training organizations as well as civilian organizations. Implications of the study for future…

  10. A Frequency Matching Method for Generation of a Priori Sample Models from Training Images

    DEFF Research Database (Denmark)

    Lange, Katrine; Cordua, Knud Skou; Frydendall, Jan; Hansen, Thomas Mejer; Mosegaard, Klaus

    2011-01-01

    This paper presents a Frequency Matching Method (FMM) for generation of a priori sample models based on training images and illustrates its use by an example. In geostatistics, training images are used to represent a priori knowledge or expectations of models, and the FMM can be used to generate...

  11. Research on the Multi-target Training Model for Applied College Undergraduates

    Directory of Open Access Journals (Sweden)

    Baiqing Zhu

    2013-05-01

    Full Text Available In this study, we have a research on the multi-target training model for applied college undergraduates. As the consequence of the increasing challenges from the rapid development of the current economic society and the change of the employment situation, new demands are emerged for the applied college’s personnel training, the objectives of the applied college are not only training undergraduates to become an employee with good professional knowledge and vocational skills, but also training a certain number of undergraduates to become an entrepreneur who provide the job opportunity. To achieve these, a multi-target training model has to be established which integrates professional knowledge with vocational skills and entrepreneurial ability and the space-time restriction of the multi-target training model must be break through.

  12. Rates and regimes of photochemical ozone production over Central East China in June 2006: a box model analysis using comprehensive measurements of ozone precursors

    Directory of Open Access Journals (Sweden)

    Y. Kanaya

    2009-10-01

    Full Text Available An observation-based box model approach was undertaken to estimate concentrations of OH, HO2, and RO2 radicals and the net photochemical production rate of ozone at the top of Mount Tai, located in the middle of Central East China, in June 2006. The model calculation was constrained by the measurements of O3, H2O, CO, NO, NO2, hydrocarbon, HCHO, and CH3CHO concentrations, and temperature and J values. The net production rate of ozone was estimated to be 6.4 ppb h−1 as a 6-h average (09:00–15:00 CST, suggesting 58±37 ppb of ozone is produced in one day. Thus the daytime buildup of ozone recorded at the mountain top as ~23 ppb on average is likely affected by in situ photochemistry as well as by the upward transport of polluted air mass in the daytime. On days with high ozone concentrations (hourly values exceeding 100 ppb at least once, in situ photochemistry was more active than it was on low ozone days, suggesting that in situ photochemistry is an important factor controlling ozone concentrations. Sensitivity model runs for which different NOx and hydrocarbon concentrations were assumed suggested that the ozone production occurred normally under NOx-limited conditions, with some exceptional periods (under volatile-organic-compound-limited conditions in which there was fresh pollution. We also examined the possible influence of the heterogeneous loss of gaseous HO2 radicals in contact with aerosol particle surfaces on the rate and regimes of ozone production.

  13. A Model Train-The-Trainer Program for HACCP-Based Food Safety Training in the Retail/Food Service Industry: An Evaluation.

    Science.gov (United States)

    Martin, Kenneth E.; Knabel, Steve; Mendenhall, Von

    1999-01-01

    A survey showed states are adopting higher training and certification requirements for food-service workers. A train-the-trainer model was developed to prepare extension agents, health officers, and food-service managers to train others in food-safety procedures. (SK)

  14. Modelling and Simulation for Train Movement Control Using Car-Following Strategy

    Institute of Scientific and Technical Information of China (English)

    LI Ke-Ping; GAO Zi-You; TANG Tao

    2011-01-01

    Based on optimal velocity car-following model, in this paper, we propose a new railway traffc model for describing the process of train movement control.In the proposed model, we give an improved form of the optimal velocity function Vopt, which is considered as the desired velocity function for train movement control under different control conditions.In order to test the proposed model, we simulate and anaiyze the trajectories of train movements,moreover, discuss the relationship curves between the train allowable velocity and the site of objective point in detail Analysis results indicate that the proposed model can well capture some realistic futures of train movement control.PACS numbers: 02.70.-c, 89.40.-a

  15. Bending analysis of laminated composite box beams

    Energy Technology Data Exchange (ETDEWEB)

    Tripathy, A.K.; Patel, H.J.; Pang, S.S. (Louisiana State Univ., Baton Rouge, LA (United States). Dept. of Mechanical Engineering)

    1994-01-01

    Box beams are widely used in weight reduction structures such as aircraft wings. The use of composite box beams further reduces the weight factor for such structures with the same deflection and stress as that of isotropic box beams. The difference in the behavior of composite box beam with different fiber orientation, number of plies, and number of stringers also provides a wide range of designing parameters to achieve the required performance for a given problem. A bending analysis has been carried out for the study of deflections and stresses for box beams of different material (isotropic and laminated composites), size, and number of stringers subjected to different kinds of loading conditions. A finite element model has been developed based on the strain energy principle, and the results are compared with an available commercial code COSMOS/M.'' Experiments using aluminum and scotchply composite laminates were conducted to verify the results. An optimal design for size and number of stiffeners for a given loading condition has been achieved. Investigations have also been carried out to find the effect of transverse shear on the span-wise normal stress.

  16. Previsão de demanda: uma aplicação dos modelos Box-Jenkins na área de assistência técnica de computadores pessoais Demand forecasting: an application of the Box-Jenkins models in the technical assistance of personal computer

    Directory of Open Access Journals (Sweden)

    Liane Werner

    2003-04-01

    Full Text Available A previsão de demanda é uma atividade importante para auxiliar na determinação dos recursos necessários para a empresa. Neste artigo, a metodologia de Box-Jenkins foi utilizada para analisar dados históricos de uma empresa de assistência técnica de computadores pessoais e obter previsões do número de atendimentos. A empresa estudada apresenta três tipos de clientes diferenciados: contratos, garantia e avulsos. Como cada segmento de clientes tem suas peculiaridades, a previsão de demanda foi direcionada a cada tipo, buscando representar o comportamento de tendência e a sazonalidade por meio dos modelos de Box-Jenkins. A obtenção dos modelos mais adequados foi baseada na análise de gráficos e em testes estatísticos próprios da metodologia, os quais subsidiaram a decisão de adotar o modelo AR(1 para prever o número de atendimentos dos clientes tipo contrato, o modelo ARIMA(2,1,0 para os clientes tipo garantia e um modelo sazonal SARIMA(0,1,0(0,1,112 para os clientes tipo avulsos.Demand forecasting is an important tool to aid on the determination of necessary resources of a given company. In this paper, the Box-Jenkins methodology was applied to analyze historical data of a personal computer repair company and provide a forecast for the number of service calls. The company studied presents three segments of clients: contracts, warranty, and on-call. As each client has it own characteristics, in order to better represent tendency and seasonality behavior through the Box-Jenkins models, a specific forecasting model was developed for each segment. The choice of the optimum models were based into graphic analysis and statistical tests, which lead to the decision of adopting the AR(1 model to foresee the number of contract clients, the ARIMA(2,1,0 model for warranty clients and the SARIMA(0,1,0(0,1,112 seasonal model for on-call clients.

  17. Models for intensive care training. A European perspective.

    Science.gov (United States)

    Bion, Julian; Rothen, Hans U

    2014-02-01

    The diversity of European culture is reflected in its healthcare training programs. In intensive care medicine (ICM), the differences in national training programs were so marked that it was unlikely that they could produce specialists of equivalent skills. The Competency-Based Training in Intensive Care Medicine in Europe (CoBaTrICE) program was established in 2003 as a Europe-based worldwide collaboration of national training organizations to create core competencies for ICM using consensus methodologies to establish common ground. The group's professional and research ethos created a social identity that facilitated change. The program was easily adaptable to different training structures and incorporated the voice of patients and relatives. The CoBaTrICE program has now been adopted by 15 European countries, with another 12 countries planning to adopt the training program, and is currently available in nine languages, including English. ICM is now recognized as a primary specialty in Spain, Switzerland, and the UK. There are still wide variations in structures and processes of training in ICM across Europe, although there has been agreement on a set of common program standards. The combination of a common "product specification" for an intensivist, combined with persisting variation in the educational context in which competencies are delivered, provides a rich source of research inquiry. Pedagogic research in ICM could usefully focus on the interplay between educational interventions, healthcare systems and delivery, and patient outcomes, such as including whether competency-based program are associated with lower error rates, whether communication skills training is associated with greater patient and family satisfaction, how multisource feedback might best be used to improve reflective learning and teamworking, or whether increasing the proportion of specialists trained in acute care in the hospital at weekends results in better patient outcomes. PMID

  18. Suicide Awareness Training for Faculty and Staff: A Training Model for School Counselors

    Science.gov (United States)

    Gibbons, Melinda M.; Studer, Jeannine R.

    2008-01-01

    Suicide among school-aged youth is a growing concern, and school personnel have a legal obligation to provide suicide prevention programming to faculty and staff. School counselors have the skills to provide such training, as well as to inform staff and faculty of school policy and procedures for referring potentially suicidal students. A…

  19. Simultaneous lidar observations of a polar stratospheric cloud on the east and west sides of the Scandinavian mountains and microphysical box model simulations

    Directory of Open Access Journals (Sweden)

    U. Blum

    2006-12-01

    Full Text Available The importance of polar stratospheric clouds (PSC for polar ozone depletion is well established. Lidar experiments are well suited to observe and classify polar stratospheric clouds. On 5 January 2005 a PSC was observed simultaneously on the east and west sides of the Scandinavian mountains by ground-based lidars. This cloud was composed of liquid particles with a mixture of solid particles in the upper part of the cloud. Multi-colour measurements revealed that the liquid particles had a mode radius of r≈300 nm, a distribution width of σ≈1.04 and an altitude dependent number density of N≈2–20 cm−3. Simulations with a microphysical box model show that the cloud had formed about 20 h before observation. High HNO3 concentrations in the PSC of 40–50 weight percent were simulated in the altitude regions where the liquid particles were observed, while this concentration was reduced to about 10 weight percent in that part of the cloud where a mixture between solid and liquid particles was observed by the lidar. The model simulations also revealed a very narrow particle size distribution with values similar to the lidar observations. Below and above the cloud almost no HNO3 uptake was simulated. Although the PSC shows distinct wave signatures, no gravity wave activity was observed in the temperature profiles measured by the lidars and meteorological analyses support this observation. The observed cloud must have formed in a wave field above Iceland about 20 h prior to the measurements and the cloud wave pattern was advected by the background wind to Scandinavia. In this wave field above Iceland temperatures potentially dropped below the ice formation temperature, so that ice clouds may have formed which can act as condensation nuclei for the nitric acid trihydrate (NAT particles observed at the cloud top above Esrange.

  20. Houston, We Have a Problem Solving Model for Training

    Science.gov (United States)

    Schmidt, Lacey; Slack, Kelley; Keeton, Kathryn; Barshi, Immanuel; Martin, Lynne; Mauro, Robert; O'Keefe, William; Baldwin, Evelyn; Huning, Therese

    2011-01-01

    In late 2006, the Mission Operations Directorate (MOD) at NASA began looking at ways to make training more efficient for the flight controllers who support the International Space Station. The average certification times for flight controllers spanned from 18 months to three years and the MOD, responsible for technical training, was eager to develop creative solutions that would reduce the time to 12 months. Additionally, previously trained flight controllers sometimes participated in more than 50 very costly, eight-hour integrated simulations before becoming certified. New trainees needed to gain proficiency with far fewer lessons and training simulations than their predecessors. This poster presentation reviews the approach and the process that is currently in development to accomplish this goal.

  1. Faster Black-Box Algorithms Through Higher Arity Operators

    DEFF Research Database (Denmark)

    Doerr, Benjamin; Johannsen, Daniel; Kötzing, Timo; Lehre, Per Kristian; Wagner, Markus; Winzen, Carola

    We extend the work of Lehre and Witt (GECCO 2010) on the unbiased black-box model by considering higher arity variation operators. In particular, we show that already for binary operators the black-box complexity of LeadingOnes drops from (n2) for unary operators to O(n log n). For OneMax, the (n...

  2. Simulating train movement in an urban railway based on an improved car-following model

    International Nuclear Information System (INIS)

    Based on the optimal velocity car-following model, in this paper, we propose an improved model for simulating train movement in an urban railway in which the regenerative energy of a train is considered. Here a new additional term is introduced into a traditional car-following model. Our aim is to analyze and discuss the dynamic characteristics of the train movement when the regenerative energy is utilized by the electric locomotive. The simulation results indicate that the improved car-following model is suitable for simulating the train movement. Further, some qualitative relationships between regenerative energy and dynamic characteristics of a train are investigated, such as the measurement data of regenerative energy presents a power-law distribution. Our results are useful for optimizing the design and plan of urban railway systems. (general)

  3. Accurate modeling of switched reluctance machine based on hybrid trained WNN

    International Nuclear Information System (INIS)

    According to the strong nonlinear electromagnetic characteristics of switched reluctance machine (SRM), a novel accurate modeling method is proposed based on hybrid trained wavelet neural network (WNN) which combines improved genetic algorithm (GA) with gradient descent (GD) method to train the network. In the novel method, WNN is trained by GD method based on the initial weights obtained per improved GA optimization, and the global parallel searching capability of stochastic algorithm and local convergence speed of deterministic algorithm are combined to enhance the training accuracy, stability and speed. Based on the measured electromagnetic characteristics of a 3-phase 12/8-pole SRM, the nonlinear simulation model is built by hybrid trained WNN in Matlab. The phase current and mechanical characteristics from simulation under different working conditions meet well with those from experiments, which indicates the accuracy of the model for dynamic and static performance evaluation of SRM and verifies the effectiveness of the proposed modeling method

  4. Spanish Radiation Protection training model for outside workers

    International Nuclear Information System (INIS)

    European Directive 90/641/Euratom established specific responsibilities regarding training of outside workers. The Spanish transposition of this Directive, through Royal Decree 413/97, distributed the responsibility for outside workers radiation protection training between the outside undertaking (basic training course) and the nuclear and no nuclear installations (e specific training course). The Spanish nuclear Safety Council, (regulatory body in matter of nuclear safety and radiation protection), started in year 2001 the development of a Technical Instruction for official recognition of this issue through publication in the Official State Bulletin. The drawing up of this document has finished at the beginning of 2003. The requirements included in this document will be compulsorily for outside workers involved in tasks carried out it controlled areas in nuclear and fuel cycle installations. This document includes requirements regarding following points: . Requirements needed by the trainers who may teach any basic or specific training course, based on their technical and scientific expertise. . Programme of basic and specific training course, including a description of the contents and the stablished length in hours of each course. . Evaluation of knowledge acquired by means of a test. . Accreditation of successful completion of the course by means of information which should be included in the personal Radiation Passbook. . Validity of the basic and specific training course. . Requirements and proceedings in case of losing the personal Radiation Passbook . Inspection by the Spanish Nuclear Safety Council . Requirements for accreditation of training in radiation protection in case of foreigners working as outside exposed workers in Spanish nuclear power plants. (Author) 3 refs

  5. Paediatric laparoscopic orchidopexy as a novel mentorship: Training model

    OpenAIRE

    Vipul Gupta; Sunil Kumar Yadav; Elterman Dean; Pradip Vincent; Farhat Walid; Abdulnaser Al Said

    2013-01-01

    Background: Although Laparoscopy is becoming a standard procedure in management of pediatric urology disorders, but its widespread use still limited. This can be attributed mainly to difficulty in acquiring such specialized technique, especially by post graduate practicing urologist. Thus, we herein evaluate the impact of condensed laparoscopic training programme in children hospital with the aim to analyze the feasibility and safety of laparoscopic orchidopexy in training basic laparoscopic ...

  6. A Collective Model of Advanced Teacher Training: An International Experience

    OpenAIRE

    Dmitri Rubashkin

    2014-01-01

    Dmitri Rubashkin - Canditdate of Sciences, Director at Innovation Center Modern Education Technologies. Address: Birzhevaya Liniya, 16, St. Petersburg, 199034, Russian Federation. E-mail: conventional course-based teacher training method doesnt meet the requirements of time, and neither does the reproductive teaching style. The paper offers a new alternative to that system, which is project-based and result-oriented advanced training designed to stimulate creative thinki...

  7. Mathematical modeling of industrial radiation processes application and end-user training

    International Nuclear Information System (INIS)

    The use of mathematical modeling for industrial irradiation equipment design has been historically limited to physical scientists and engineers. As barriers to entry to this technology have been reduced, personnel with less formal technical training in mathematical modeling, such as manufacturing and quality assurance personnel have begun to show an interest in employing these technologies for process design, evaluation, and control. This paper describes how modeling is used in process design and diagnostics. It examines the pitfalls and problems related to training the non-traditional user in the use of modeling tools. Guidelines for developing prerequisites and requirements for end-user training programs are given

  8. Cost Comparison Model: Blended eLearning versus traditional training of community health workers

    OpenAIRE

    Sissine, Mysha; Segan, Robert; Taylor, Mathew,; Jefferson, Bobby; Borrelli, Alice; Koehler, Mohandas; Chelvayohan, Meena

    2014-01-01

    Objectives: Another one million community healthcare workers are needed to address the growing global population and increasing demand of health care services. This paper describes a cost comparison between two training approaches to better understand costs implications of training community health workers (CHWs) in Sub-Saharan Africa. Methods: Our team created a prospective model to forecast and compare the costs of two training methods as described in the Dalburge Report - (1) a traditional...

  9. Training evaluation models: The experience of the European project ADAPT-FIT

    OpenAIRE

    V. Carbone; MORVILLO,A

    2003-01-01

    This article illustrates the experience gained in relation to training evaluation models at the institute for services industry research (IRAT) of the national research council of Italy and the university of Naples 'Parthenope', through an intensive training and research activity implemented as part of the transnational integrated training project (FIT - formazione integrata transnazionale). The fit project, funded by the European programme adapt, is a joint action implemented by the academic...

  10. MODELLING AND SIMULATING RISKS IN THE TRAINING OF THE HUMAN RESOURCES BY APPLYING THE CHAOS THEORY

    OpenAIRE

    Eugen ROTARESCU

    2012-01-01

    The article approaches the modelling and simulation of risks in the training of the human resources, as well as the forecast of the degree of human resources training impacted by risks by applying the mathematical tools offered by the Chaos Theory and mathematical statistics. We will highlight that the level of knowledge, skills and abilities of the human resources from an organization are autocorrelated in time and they depend on the level of a previous moment of the training, as well as on ...

  11. Projection optics box

    Science.gov (United States)

    Hale, Layton C.; Malsbury, Terry; Hudyma, Russell M.; Parker, John M.

    2000-01-01

    A projection optics box or assembly for use in an optical assembly, such as in an extreme ultraviolet lithography (EUVL) system using 10-14 nm soft x-ray photons. The projection optics box utilizes a plurality of highly reflective optics or mirrors, each mounted on a precision actuator, and which reflects an optical image, such as from a mask, in the EUVL system onto a point of use, such as a target or silicon wafer, the mask, for example, receiving an optical signal from a source assembly, such as a developed from laser system, via a series of highly reflective mirrors of the EUVL system. The plurality of highly reflective optics or mirrors are mounted in a housing assembly comprised of a series of bulkheads having wall members secured together to form a unit construction of maximum rigidity. Due to the precision actuators, the mirrors must be positioned precisely and remotely in tip, tilt, and piston (three degrees of freedom), while also providing exact constraint.

  12. Comparisons of complex network based models and real train flow model to analyze Chinese railway vulnerability

    International Nuclear Information System (INIS)

    Recently numerous studies have applied complex network based models to study the performance and vulnerability of infrastructure systems under various types of attacks and hazards. But how effective are these models to capture their real performance response is still a question worthy of research. Taking the Chinese railway system as an example, this paper selects three typical complex network based models, including purely topological model (PTM), purely shortest path model (PSPM), and weight (link length) based shortest path model (WBSPM), to analyze railway accessibility and flow-based vulnerability and compare their results with those from the real train flow model (RTFM). The results show that the WBSPM can produce the train routines with 83% stations and 77% railway links identical to the real routines and can approach the RTFM the best for railway vulnerability under both single and multiple component failures. The correlation coefficient for accessibility vulnerability from WBSPM and RTFM under single station failures is 0.96 while it is 0.92 for flow-based vulnerability; under multiple station failures, where each station has the same failure probability fp, the WBSPM can produce almost identical vulnerability results with those from the RTFM under almost all failures scenarios when fp is larger than 0.62 for accessibility vulnerability and 0.86 for flow-based vulnerability

  13. Beyond Feedforward Models Trained by Backpropagation: a Practical Training Tool for a More Efficient Universal Approximator

    CERN Document Server

    Ilin, Roman; Werbos, Paul J

    2007-01-01

    Cellular Simultaneous Recurrent Neural Network (SRN) has been shown to be a function approximator more powerful than the MLP. This means that the complexity of MLP would be prohibitively large for some problems while SRN could realize the desired mapping with acceptable computational constraints. The speed of training of complex recurrent networks is crucial to their successful application. Present work improves the previous results by training the network with extended Kalman filter (EKF). We implemented a generic Cellular SRN and applied it for solving two challenging problems: 2D maze navigation and a subset of the connectedness problem. The speed of convergence has been improved by several orders of magnitude in comparison with the earlier results in the case of maze navigation, and superior generalization has been demonstrated in the case of connectedness. The implications of this improvements are discussed.

  14. Beyond feedforward models trained by backpropagation: a practical training tool for a more efficient universal approximator.

    Science.gov (United States)

    Ilin, Roman; Kozma, Robert; Werbos, Paul J

    2008-06-01

    Cellular simultaneous recurrent neural network (SRN) has been shown to be a function approximator more powerful than the multilayer perceptron (MLP). This means that the complexity of MLP would be prohibitively large for some problems while SRN could realize the desired mapping with acceptable computational constraints. The speed of training of complex recurrent networks is crucial to their successful application. This work improves the previous results by training the network with extended Kalman filter (EKF). We implemented a generic cellular SRN (CSRN) and applied it for solving two challenging problems: 2-D maze navigation and a subset of the connectedness problem. The speed of convergence has been improved by several orders of magnitude in comparison with the earlier results in the case of maze navigation, and superior generalization has been demonstrated in the case of connectedness. The implications of this improvements are discussed. PMID:18541494

  15. Professional growth of trainees: applying teacher training models to the training of GPs.

    Science.gov (United States)

    Gavriel, George; Gavriel, Jennifer

    2011-10-01

    Study of professional growth is useful for reflective purposes at any time during a career. The concept of known knowns and unknowns with a training twist can be used to summarise the overall stages of any trainee. At the start of vocational training the trainee does not know what they do not know, they have not yet recognised how much they have to learn. This happens in the second stage (that could be equated to survival) when they begin to understand the vast array of skills they must develop to make it look easy. With time and practice they will reach the point where they know what they have to do--not always getting it right but then who does? Finally, and it is particularly important that trainers recognise this, an individual will reach the point where everything is so automatic they are no longer aware of the intricacies of the skills they have acquired. This is where most trainers, both for teachers and GPs, find themselves and this can be frustrating for both trainee and trainer as they find they are unable to communicate effectively. A good trainer will spend time dissecting and 'unlearning' their skills so they are able to teach their trainees successfully. Trainees, meanwhile, must realise that, one day, they will have their own unknown knowns, but they cannot expect it to happen overnight or without substantial effort. In moving forward from our training it is how we deal with repeated survival stages that determines if we can keep doing the job, it is how we deal with the plateau that determines if we will be any good at it--effective on-the-job training leads to lifelong on-the-job learning. PMID:22152837

  16. Decentralised facility-based training as an alternative model for SLMTA implementation: The Cameroon experience

    Directory of Open Access Journals (Sweden)

    Juliana Ndasi

    2014-09-01

    Full Text Available Background:The Strengthening Laboratory Management Toward Accreditation (SLMTA programme is designed to build institutional capacity to help strengthen the tiered laboratorysystem. Most countries implement the SLMTA three-workshop series using a centralised model, whereby participants from several laboratories travel to one location to be trained together.Objectives: We assessed the effectiveness and cost of conducting SLMTA training in adecentralised manner as compared to centralised training.Methods: SLMTA was implemented in five pilot laboratories in Cameroon between October 2010 and October 2012 by means of a series of workshops, laboratory improvement projects and on-site mentorship. The first workshop was conducted in the traditional centralised approach. The second and third workshops were decentralised, delivered on-site at each of the five enrolled laboratories. Progress was monitored by repeated audits using the Stepwise Laboratory Quality Improvement Process Towards Accreditation (SLIPTA checklist.Results: Audit scores for all laboratories improved steadily through the course of the programme. Median improvement was 11 percentage points after the first (centralised training and an additional 24 percentage points after the second (decentralised training. Estimated per-laboratory cost of the two training models was approximately the same at US$21 000. However, in the decentralised model approximately five times as many staff members were trained, although it also required five times the amount of trainer time.Conclusion: Decentralised SLMTA training was effective in improving laboratory qualityand should be considered as an alternative to centralised training.

  17. Training Needs Assessment for Leaders in Nursing Based on Comparison of Competency Models

    OpenAIRE

    Kvas Andreja; Seljak Janko; Stare Janez

    2014-01-01

    Background and Purpose: The main purpose behind the formation of leadership competency models must be the improvement of leadership. A competency model should serve as one of the tools for selecting the most suitable leaders, appraising their work, assessing training needs and preparing programmes of functional and formal education. The objective of this research is to assess the training needs of leaders in health care. A comparison of leadership competency models between different professio...

  18. Training needs assessment for leaders in nursing based on comparison of competency models:

    OpenAIRE

    Kvas, Andreja; Seljak, Janko; Stare, Janez

    2014-01-01

    Background and Purpose: The main purpose behind the formation of leadership competency models must be the improvement of leadership. A competency model should serve as one of the tools for selecting the most suitable leaders, appraising their work, assessing training needs and preparing programmes of functional and formal education. The objective of this research is to assess the training needs of leaders in health care. A comparison of leadership competency models between different professio...

  19. Lifelong Learning and Employability: Is the European Model of Vocational Training in Crisis?

    Science.gov (United States)

    Heidemann, Winfried

    This paper explores the traditional European model of vocational training in light of a new focus on employability and lifelong learning that is becoming more common in Europe. It includes the following four sections: (1) an overview of some examples of vocational training systems in Europe and the proposal that they share enough to be considered…

  20. New Models of Apprenticeship and Equal Employment Opportunity. Do Training Networks Enhance Fair Hiring Practices?

    Science.gov (United States)

    Imdorf, Christian; Leemann, Regula J.

    2012-01-01

    This study investigates whether occupational training networks enable the selection of apprentices to be less discriminatory. Training networks are a new organisational form of VET that is becoming increasingly widespread in Switzerland, as well as in Germany and Austria. In the Swiss model, an intermediary lead organisation recruits the…

  1. Multicultural Grand Rounds: Competency-Based Training Model for Clinical Psychology Graduate Students

    Science.gov (United States)

    Stites, Shana D.; Warholic, Christina L.

    2014-01-01

    Preparing students to enter the field of psychology as competent professionals requires that multicultural practices be infused into all areas of training. This article describes how the Grand Rounds model was adapted to a graduate clinical psychology training program to foster applied learning in multicultural competence. This extension of Grand…

  2. Implementing a K-12 Train the Trainer Professional Development Model through the School Improvement Grant

    Science.gov (United States)

    Pollnow, Michele

    2012-01-01

    Effective professional development has been shown to improve instruction and increase student academic achievement. The Train the Trainer professional development model is often chosen by the state Department of Education for its efficiency and cost effectiveness of delivering training to schools and districts widely distributed throughout the…

  3. Model training curriculum for Low-Level Radioactive Waste Disposal Facility Operations

    Energy Technology Data Exchange (ETDEWEB)

    Tyner, C.J.; Birk, S.M.

    1995-09-01

    This document is to assist in the development of the training programs required to be in place for the operating license for a low-level radioactive waste disposal facility. It consists of an introductory document and four additional appendixes of individual training program curricula. This information will provide the starting point for the more detailed facility-specific training programs that will be developed as the facility hires and trains new personnel and begins operation. This document is comprehensive and is intended as a guide for the development of a company- or facility-specific program. The individual licensee does not need to use this model training curriculum as written. Instead, this document can be used as a menu for the development, modification, or verification of customized training programs.

  4. Model training curriculum for Low-Level Radioactive Waste Disposal Facility Operations

    International Nuclear Information System (INIS)

    This document is to assist in the development of the training programs required to be in place for the operating license for a low-level radioactive waste disposal facility. It consists of an introductory document and four additional appendixes of individual training program curricula. This information will provide the starting point for the more detailed facility-specific training programs that will be developed as the facility hires and trains new personnel and begins operation. This document is comprehensive and is intended as a guide for the development of a company- or facility-specific program. The individual licensee does not need to use this model training curriculum as written. Instead, this document can be used as a menu for the development, modification, or verification of customized training programs

  5. Glove-box filters

    International Nuclear Information System (INIS)

    Description is given of a device for simply and rapidly assembling and dissassembling the filters used inside sealed enclosures, such as glove-boxes and shielded cells equipped with nippers or manipulators, said filters being of the type comprising a cylindrical casing containing a filtering member, the upper portion of said casing being open so as to allow the gases to be cleaned to flow in, whereas the casing bottom is centrally provided with a hole extended outwardly by a threaded collar on which is screwed a connecting-sleeve to be fixed to the mouth of a gas outlet pipe. To a yoke transverse bar is welded a pin which can be likened to a bent spring-blade, one arm of which welded to said transverse bar, is rectilinear whereas its other arm is provided with a boss cooperating with a cavity made in a protrusion of said pipe, right under the mouth thereof

  6. ACSYS in a box

    CERN Document Server

    Briegel, C; Hendricks, B; King, C; Lackey, S; Neswold, R; Nicklaus, D; Patrick, J; Petrov, A; Rechenmacher, R; Schumann, C; Smedinghoff, J

    2012-01-01

    The Accelerator Control System at Fermilab has evolved to enable this relatively large control system to be encapsulated into a "box" such as a laptop. The goal was to provide a platform isolated from the "online" control system. This platform can be used internally for making major upgrades and modifications without impacting operations. It also provides a standalone environment for research and development including a turnkey control system for collaborators. Over time, the code base running on Scientific Linux has enabled all the salient features of the Fermilab's control system to be captured in an off-the-shelf laptop. The anticipated additional benefits of packaging the system include improved maintenance, reliability, documentation, and future enhancements.

  7. An implementation of cellular automaton model for single-line train working diagram

    Institute of Scientific and Technical Information of China (English)

    Hua Wei; Liu Jun

    2006-01-01

    According to the railway transportation system's characteristics,a new cellular automaton model for the singleline railway system is presented in this paper.Based on this model,several simulations were done to imitate the train operation under three working diagrams.From a different angle the results show how the organization of train operation impacts on the railway carrying capacity.By using the non-parallel train working diagram the influence of fast-train on slow-train is found to be the strongest.Many slow-trains have to wait in-between neighbouring stations to let the fast-train(s) pass through first.So the slow-train will advance like a wave propagating from the departure station to the arrival station.This also resembles the situation of a highway jammed traffic flow.Furthermore,the nonuniformity of travel times between the sections also greatly limits the railway carrying capacity.After converting the nonuniform sections into the sections with uniform travel times while the total travel time is kept unchanged,all three carrying capacities are improved greatly as shown by simulation.It also shows that the cellular automaton model is an effective and feasible way to investigate the railway transDortation system.

  8. Training Vocational Rehabilitation Counselors in Group Dynamics: A Psychoeducational Model.

    Science.gov (United States)

    Elliott, Timothy R.

    1990-01-01

    Describes a six-session psychoeducational program for training vocational rehabilitation counselors in group dynamics. Presents evaluation of program by counselors (N=15) in which leadership styles, conflict management, and typology of group tasks concepts were rated as most beneficial. (Author/ABL)

  9. Andragogy Content Knowledge Technology: A Training Model for Teaching Adults

    Science.gov (United States)

    Santos, Roberta

    2012-01-01

    Professional Development (PD) is an important tool in the field of education. Successful PD programs are those that include adult learning methods and opportunities for experiential learning and discussion. The university where this action research was conducted does not offer formal training to adjunct instructors. The adjunct instructors are…

  10. Rape Counseling: A Model for Sensitizing and Training Helpers

    Science.gov (United States)

    Silver, Steven M.; Stonestreet, Susan D.

    1978-01-01

    A woman who is raped needs factual information concerning hospital and legal procedures and an emotional support system to help her focus her feelings into productive channels. This article describes a training and outreach program combining rape simulation, film, lecture, and experiential discussion to stimulate thought, action, and increased…

  11. Cardboard Boxes: Learning Concepts Galore!

    Science.gov (United States)

    Warner, Laverne; Wilmoth, Linda

    2007-01-01

    Mrs. Keenan, a preschool teacher, observed her 3-year-old granddaughter Riley pull, tug, and stack piles of holiday boxes on the floor. She remembered that her child care director had suggested using boxes as a curriculum theme, but she hadn't given much thought about the idea until now. She said to herself, "I wonder if my children would be as…

  12. Modeling and simulation of high-speed passenger train movements in the rail line

    Institute of Scientific and Technical Information of China (English)

    Cao Cheng-Xuan; Xu Yan; Li Ke-Ping

    2013-01-01

    In this paper,we propose a new formula of the real-time minimum safety headway based on the relative velocity of consecutive trains and present a dynamic model of high-speed passenger train movements in the rail line based on the proposed formula of the minimum safety headway.Moreover,we provide the control strategies of the high-speed passenger train operations based on the proposed formula of the real-time minimum safety headway and the dynamic model of highspeed passenger train movements.The simulation results demonstrate that the proposed control strategies of the passenger train operations can greatly reduce the delay propagation in the high-speed rail line when a random delay occurs.

  13. Object detection in remote sensing imagery using a discriminatively trained mixture model

    Science.gov (United States)

    Cheng, Gong; Han, Junwei; Guo, Lei; Qian, Xiaoliang; Zhou, Peicheng; Yao, Xiwen; Hu, Xintao

    2013-11-01

    Automatically detecting objects with complex appearance and arbitrary orientations in remote sensing imagery (RSI) is a big challenge. To explore a possible solution to the problem, this paper develops an object detection framework using a discriminatively trained mixture model. It is mainly composed of two stages: model training and object detection. In the model training stage, multi-scale histogram of oriented gradients (HOG) feature pyramids of all training samples are constructed. A mixture of multi-scale deformable part-based models is then trained for each object category by training a latent Support Vector Machine (SVM), where each part-based model is composed of a coarse root filter, a set of higher resolution part filters, and a set of deformation models. In the object detection stage, given a test imagery, its multi-scale HOG feature pyramid is firstly constructed. Then, object detection is performed by computing and thresholding the response of the mixture model. The quantitative comparisons with state-of-the-art approaches on two datasets demonstrate the effectiveness of the developed framework.

  14. Expanding n-gram training data for language models based on morpho-syntactic transformations

    OpenAIRE

    Verwimp, Lyan; Pelemans, Joris; Hamme, Hugo Van; Wambacq, Patrick

    2015-01-01

    Verwimp L., Pelemans J., Van hamme H., Wambacq P., ''Expanding n-gram training data for language models based on morpho-syntactic transformations'', Computational linguistics in the Netherlands journal (CLIN journal), vol. 5, pp. 49-64, 2015.

  15. Evaluation of simulation-based training for aircraft carrier marshalling with learning cubic and Kirkpatrick’s models

    Institute of Scientific and Technical Information of China (English)

    Tian Yongliang; Liu Hu; Yin Jiao; Luo Mingqiang; Wu Guanghui

    2015-01-01

    Simulation-based training is a promising way to train a carrier flight deck crew because of the complex and dangerous working environment. Quantitative evaluation of simulation-based training quality is vital to make simulation-based training practical for aircraft carrier marshalling. This paper develops a personal computer-based aircraft carrier marshalling simulation system and a cave automatic virtual environment (CAVE)-based immersive environment. In order to compare the training effectiveness of simulation-based training and paper-based training, a learning cubic model is proposed and a contrast experiment is carried out as well. The experimental data is ana-lyzed based on a simplified Kirkpatrick’s model. The results show that simulation-based training is better than paper-based training by 26.80%after three rounds of testing, which prove the effective-ness of simulation-based aircraft carrier marshalling training.

  16. Optimizing Intermodal Train Schedules with a Design Balanced Network Design Model

    DEFF Research Database (Denmark)

    Pedersen, Michael Berliner; Crainic, Teodor Gabriel

    We present a modeling approach for optimizing intermodal trains schedules based on an infrastructure divided into time-dependent train paths. The formulation can be generalized to a capacitated multi commodity network design model with additional design balance constraints. We present a Tabu Search...... based metaheuristic to solve large instances of the generalized problem and compare its results on standard network design problems to those obtained using the solver XpressMP....

  17. The Development of Entrepreneurship Training and Mentoring Model for Orphanage Children in Indonesia

    OpenAIRE

    Sopiah; Heny Kusdiyanti; Rosanty Rosmawati

    2014-01-01

    This study is intended to develop a model of entrepreneurial training and mentoring for orphanage children in Malang Indonesia. The study population was orphanage children in Malang, Indonesia, amounting to 8,846 people. With purposive sampling technique set 100 orphans as samples. Data were collected with questionnaire, interview, observation and documentation. Data were analyzed using descriptive statistics. The research concludes that entrepreneurship training and mentoring models that hav...

  18. THEORETICAL MODEL OF PROCESS OF FORMATION OF SKILLS OF SELF-CONTROL IN TRAINING

    OpenAIRE

    Emeljanov Vladislav Sergeevich

    2012-01-01

    In clause the theoretical model of process of formation of skills of self-control in training is considered. Defined the place and importance of self-control as a component of any independent activity. The aim of the research is development of scientifically proved techniques of formation at pupils of ways of self-control in learning physics. The model is developed on the basis of individual-oriented and activity approaches to training, analysis of the structure and content of the training ac...

  19. Modeling and Simulation of Operator Training Simulator for Prototype Fast Breeder Reactor

    International Nuclear Information System (INIS)

    Often the challenge faced by the Nuclear Power Industry is the availability of well trained human resource for efficient power plant monitoring and control. Safety of the plant purely depends upon the plant knowledge acquired, understanding of plant dynamics and the skills possessed by the operators through systematic training. Generally the operators are given class room and field training before deploying them in the operation crew. But, for handling emergency and abnormal conditions, the formal class room training and field training have proved to be inadequate according to the expert estimates. The state- of- art computer based operator training simulators covering the full spectrum of the plant have become an essential element in bridging the gap between the inadequacy and efficiency. Gradually the training simulators are getting embedded in the operator training programme and started playing a crucial role in enhancing the ability of the operators.This paper discusses about the operator training simulator called KALBR- SIM i.e. Kalpakkam Breeder Simulator that has been built at IGCAR for training the Prototype Fast Breeder Reactor (PFBR) operators. It is a Full Scope Replica Operator Training Simulator built to replicate PFBR. The scope of the paper covers the basic modules necessary for building each process model of the simulator, design and development of the reactor sub systems like Neutronics, Primary Sodium, Secondary Sodium, Decay Heat Removal, Steam Water, Electrical systems and the associated logics and controls. It is followed by a detailed discussion on replication aspects of Simulator Control Room and its advantages, the Hardware Architecture, Instruction Station facility and loading of scenarios. It further elaborates on Steady State and Bench Mark Transients tests conducted on the Operator Training Simulator like One primary sodium pump trip, one primary pump seizure, Primary pipe rupture, one boiler feed pump trip and Station Black Out. (author)

  20. Students' approaches to mathematical tasks using software as a black-box, glass-box or open-box

    OpenAIRE

    Hosein, Anesa

    2009-01-01

    Three mathematical software modes are investigated in this thesis: black-box software showing no mathematical steps; glass-box software showing the intermediate mathematical steps; and open-box software showing and allowing interaction at the intermediate mathematical steps. The glass-box and open-box software modes are often recommended over the black-box software to help understanding but there is limited research comparing all three. This research investigated students' performance and the...

  1. AmIRTEM: a functional model for training of aerobic endurance for health improvement.

    Science.gov (United States)

    Gaeta, Eugenio; Cea, Gloria; Arredondo, Maria T; Leuteritz, Jan P

    2012-11-01

    In a nonstrenuous exercise, the heart rate (HR) shows a linear relationship with the maximum volume of oxygen consumption VO(2Max) and serves as an indicator of performance of the cardiovascular system. The HR replaces the %VO(2Max) in exercise program prescription to improve aerobic endurance. In order to achieve an optimal effect in an endurance training, the athlete needs to work out at an HR high enough to trigger the aerobic metabolism, while avoiding the very high HRs that bring along significant risks of myocardial infarction. The minimal and optimal base training programs, followed by stretching exercises to prevent injuries, are adequate programs to maximize benefits and minimize health risks for the cardiovascular system during single session training. In this paper, we have defined a functional model for an ambient intelligence system that monitors, evaluates, and trains the aerobic endurance. It is based on the Android operating system and the Gow Running smart shirt. The system has been evaluated during functional assessment stress testing of aerobic endurance in the Stress Physiology Laboratory (SPL) of the Technical University of Madrid. Furthermore, a voice system designed to guide the user through minimal and optimal base training programs has been evaluated. The results obtained fully confirm the model with a high correlation between the data collected by the system and the by SPL. There is also a high hit rate between training sessions of the users and the objective training functions defined in the training programs. PMID:22801486

  2. A dynamic simulation/optimization model for scheduling restoration of degraded military training lands.

    Science.gov (United States)

    Önal, Hayri; Woodford, Philip; Tweddale, Scott A; Westervelt, James D; Chen, Mengye; Dissanayake, Sahan T M; Pitois, Gauthier

    2016-04-15

    Intensive use of military vehicles on Department of Defense training installations causes deterioration in ground surface quality. Degraded lands restrict the scheduled training activities and jeopardize personnel and equipment safety. We present a simulation-optimization approach and develop a discrete dynamic optimization model to determine an optimum land restoration for a given training schedule and availability of financial resources to minimize the adverse effects of training on military lands. The model considers weather forecasts, scheduled maneuver exercises, and unique qualities and importance of the maneuver areas. An application of this approach to Fort Riley, Kansas, shows that: i) starting with natural conditions, the total amount of training damages would increase almost linearly and exceed a quarter of the training area and 228 gullies would be formed (mostly in the intensive training areas) if no restoration is carried out over 10 years; ii) assuming an initial state that resembles the present conditions, sustaining the landscape requires an annual restoration budget of $957 thousand; iii) targeting a uniform distribution of maneuver damages would increase the total damages and adversely affect the overall landscape quality, therefore a selective restoration strategy may be preferred; and iv) a proactive restoration strategy would be optimal where land degradations are repaired before they turn into more severe damages that are more expensive to repair and may pose a higher training risk. The last finding can be used as a rule-of-thumb for land restoration efforts in other installations with similar characteristics. PMID:26895721

  3. MODELS AND SYSTEMS FOR STRUCTURIZATION OF KNOWLEDGE IN TRAINING

    OpenAIRE

    Serghei PELIN; Nicolae PELIN

    2007-01-01

    In this work the problems of the automated structurization and activation of the knowledge, saved and used by mankind, during the organization and training, and also that knowledge which are generated by experts (including teachers) in the current activity, are analyzed. The purpose - the further perfection of methods and systems of the automated structurization of knowledge and their applications for creation: the automated workplace of the lecturer (environment for the automated structuriza...

  4. Utilizing the Iterative Closest Point (ICP) algorithm for enhanced registration of high resolution surface models - more than a simple black-box application

    Science.gov (United States)

    Stöcker, Claudia; Eltner, Anette

    2016-04-01

    Advances in computer vision and digital photogrammetry (i.e. structure from motion) allow for fast and flexible high resolution data supply. Within geoscience applications and especially in the field of small surface topography, high resolution digital terrain models and dense 3D point clouds are valuable data sources to capture actual states as well as for multi-temporal studies. However, there are still some limitations regarding robust registration and accuracy demands (e.g. systematic positional errors) which impede the comparison and/or combination of multi-sensor data products. Therefore, post-processing of 3D point clouds can heavily enhance data quality. In this matter the Iterative Closest Point (ICP) algorithm represents an alignment tool which iteratively minimizes distances of corresponding points within two datasets. Even though tool is widely used; it is often applied as a black-box application within 3D data post-processing for surface reconstruction. Aiming for precise and accurate combination of multi-sensor data sets, this study looks closely at different variants of the ICP algorithm including sub-steps of point selection, point matching, weighting, rejection, error metric and minimization. Therefore, an agricultural utilized field was investigated simultaneously by terrestrial laser scanning (TLS) and unmanned aerial vehicle (UAV) sensors two times (once covered with sparse vegetation and once bare soil). Due to different perspectives both data sets show diverse consistency in terms of shadowed areas and thus gaps so that data merging would provide consistent surface reconstruction. Although photogrammetric processing already included sub-cm accurate ground control surveys, UAV point cloud exhibits an offset towards TLS point cloud. In order to achieve the transformation matrix for fine registration of UAV point clouds, different ICP variants were tested. Statistical analyses of the results show that final success of registration and therefore

  5. Modular modeling and simulation of hybrid power trains; Modulare Modellbildung und Simulation von hybriden Antriebstraengen

    Energy Technology Data Exchange (ETDEWEB)

    Kelz, Gerald; Hirschberg, Wolfgang [Inst. fuer Fahrzeugtechnik, Technische Univ. Graz (Austria)

    2009-07-01

    The power train of a hybrid vehicle is considerably more complex than that of conventional vehicles. Whilst the topology of a conventional vehicle is normally fixed, the arrangement of the power train components for innovative propulsion systems is a flexible one. The aim is to find those topologies and configurations which are optimal for the intended use. Fuel consumption potentials can be derived with the aid of vehicle longitudinal dynamics simulation. Mostly these simulations are carried out using commercial software which is optimized for the standard topology and do not offer the flexibility to calculate arbitrary topologies. This article covers the modular modeling and the fuel consumption simulation of complex hybrid power trains for topology analysis. A component library for the development of arbitrary hybrid propulsion systems is introduced. The focus lies on an efficient and fast modeling which provides exact simulation results. Several models of power train components are introduced. (orig.)

  6. Determination of optimum model of tactical preparation for training process control in regbilig

    Directory of Open Access Journals (Sweden)

    Velor Mesitsky

    2014-08-01

    Full Text Available Purpose: determination of the optimal model of tactical training for management training process in regbilig. Material and research methods: 34 sportsmen of cities of Simferopol and Sevastopol, participant of championship of Ukraine, took part in research, from regbilig among grown man commands. Results: presented the optimum model of tactical preparation for control training process in regbilig. Conclusions: first optimum tactical model descriptions, developed on the basis of deep analysis of appearances of the best commands of the world, Superligi of England, are examined in Ukraine, NRL of Australia, which allow deeper to give a glance on preparation of command which does possible to apply these base charts in all periods of preparation of command on the whole, taking into account the necessary level of development of physical qualities and technical preparedness of rugby-players. It allows it is more optimum to manage an training process in preparation, both in junior commands and in the commands of masters.

  7. Method of positioning channel box

    International Nuclear Information System (INIS)

    Upon measuring the dimension of a channel box by disposing ultrasonic sensors to the uppermost portion of a measuring device main body, the deviation of the channel box from the center of the device main body is detected by measuring the distance betwen the sensors at the uppermost portion of the device main body and the lower end of the channel box for four surfaces simultaneously. The direction and the distance for moving the channel box to the center of the device main body are calculated based on the results to feedback tham for the operation of a fuel exchanger, thereby positioning the channel box upon insertion to the device main body. That is, a fuel assembly loaded with the channel box is gradually brought down being suspended from a crane and the position of the channel box is recognized by the ultrasonic sensors, thereafter, the position of the center is corrected and it is brought down again and the outer dimension is measured. Accurate positioning in a short periodof time is enabled and operator's burden can be mitigated to prevent the danger of indury. (N.H.)

  8. Low-intensity aerobic exercise training attenuates airway inflammation and remodeling in a rat model of steroid-resistant asthma

    Institute of Scientific and Technical Information of China (English)

    Qin Qingwu; Chen Xi; Feng Juntao; Qin Ling; Hu Chengping

    2014-01-01

    Background Aerobic exercise can improve symptoms,reduce airway inflammation,and even ameliorate airway remodeling in asthmatic animals and patients.However,previous studies have focused mainly on the effect of aerobic exercise on steroid-sensitive asthma (SSA).The goals of this study were to determine the effect of low-intensity aerobic exercise training on airway hyperresponsiveness,inflammation,and remodeling in a rat model of steroid-resistant asthma (SRA) and to identify the potential mechanisms underlying these effects.Methods Endotoxin-free ovalbumin with or without lipopolysaccharide were applied to establish rat models of SRA and SSA,respectively.Airway hyperresponsiveness,inflammation,remodeling,expression of interleukin (IL)-25,IL-33,thymic stromal lymphopoietin (TSLP),high mobility group box-1 (HMGB1),and IL-17 in bronchoalveolar lavage fluid (BALF),and the role of dexamethasone (DXM) were compared between these two asthmatic rat models.The effect of low-intensity aerobic exercise training and anti-HMGB1 treatment on airway hyperresponsiveness,inflammation,and remodeling in SRA rats also was evaluated.Results SRA rats developed neutrophil-dominated airway inflammation ((29.5±4.1)% of the total cell numbers in BALF),whereas SSA rats developed eosinophil-dominated airway inflammation ((24.0±6.1)% of the total cell numbers in BALF).Compared with SSA rats,SRA rats had more severe airway hyperresponsiveness,lower levels of IL-25 ((33.6±10.3) vs.(104.8±24.9) pg/ml),IL-33 ((87.5±25.0) vs.(226.6±40.7) pg/ml),and TSLP ((1 933.2±899.5) vs.(7 224.0±992.1) pg/ml),and higher levels of HMGB1 ((21.2±4.5) vs.(5.4±1.6) ng/ml) and IL-17 ((780.5±261.7) vs.(291.4±76.4) pg/ml) in BALF (all P <0.05).However,there was no significant difference in goblet cell hyperplasia,subepithelial collagen thickness,and airway smooth muscle remodeling between the two groups.Compared with control SSA rats,airway hyperresponsiveness,inflammation,and remodeling in SRA rats

  9. User modeling for improved computer-aided training in radiology: initial experience

    Science.gov (United States)

    Mazurowski, Maciej A.; Lo, Joseph Y.; Tourassi, Georgia D.

    2010-02-01

    Although mammography is an efficient screening modality for breast cancer, interpretation of mammographic images is a difficult task and notable variability between radiologists performance has been documented. A significant factor impacting radiologists diagnostic performance is adequate training. In this study we propose a new paradigm for computer-assisted training in radiology based on constructing user models for radiologists-in-training that capture individual error making patterns. Such user models are developed and trained to use image features for prediction of the extent of error made by a particular radiologist for variety of cases and therefore estimate difficulty of different types of cases for that radiologist. The constructed user model can be used to develop a personalized training protocol for the radiologist-in-training that focuses on cases that may pose a particular difficulty to the trainee. We initially demonstrate the concept of building individual user models for the task of breast mass diagnosis. Data collected from three resident observers at Duke University was used for the experiments. The result indicate that the proposed models are capable of learning to distinguish difficult and easy cases for each observer with moderate accuracy which shows promise for the proposed concept.

  10. Knowledge model of trainee for training support system of plant operation

    Energy Technology Data Exchange (ETDEWEB)

    Furuhama, Yutaka; Furuta, Kazuo; Kondo, Shunsuke [Tokyo Univ. (Japan). Faculty of Engineering

    1996-10-01

    We have already proposed a knowledge model of a trainee, which model consists of two layers: hierarchical function and qualitative structure. We developed a method to generate normative operator knowledge based on this knowledge model structure, and to identify trainee`s intention by means of truth maintenance. The methods were tested by cognitive experiment using a prototype of training support system. (author)

  11. Wages, Training, and Job Turnover in a Search-Matching Model

    DEFF Research Database (Denmark)

    Rosholm, Michael; Nielsen, Michael Svarer

    1999-01-01

    In this paper we extend a job search-matching model with firm-specific investments in training developed by Mortensen (1998) to allow for different offer arrival rates in employment and unemployment. The model by Mortensen changes the original wage posting model (Burdett and Mortensen, 1998) in two...

  12. Microclimate boxes for panel paintings

    DEFF Research Database (Denmark)

    Wadum, Jørgen

    The use of microclimate boxes to protect vulnerable panel paintings is, therefore, not a new phenomenon of the past two or three decades. Rather, it has been a concern for conservators and curators to protect these objects of art at home and in transit since the end of the nineteenth century. The...... increased number of travelling exhibitions in recent years has heightened the need to protect paintings during circulation (Thomson 1961; Mecklenburg 1991). The use and design of microclimate boxes have been evolving since 1892. These boxes may be divided into three broad groups: those using an active...

  13. Two-dimensional box plot

    OpenAIRE

    Phattrawan Tongkumchum

    2005-01-01

    In this paper we propose a two-dimensional box plot, a simple bivariate extension of the box plot and the scatter plot. This plot comprises a pair of trapeziums oriented in the direction of a fitted straight line, with symbols denoting extreme values. The choice for the fitted straight resistant line showing the relationship between the two variables is Tukey’s resistance line. The main components of the plot are an inner box containing 50% of the projection points of the observations on the ...

  14. Integrating Soft Set Theory and Fuzzy Linguistic Model to Evaluate the Performance of Training Simulation Systems.

    Science.gov (United States)

    Chang, Kuei-Hu; Chang, Yung-Chia; Chain, Kai; Chung, Hsiang-Yu

    2016-01-01

    The advancement of high technologies and the arrival of the information age have caused changes to the modern warfare. The military forces of many countries have replaced partially real training drills with training simulation systems to achieve combat readiness. However, considerable types of training simulation systems are used in military settings. In addition, differences in system set up time, functions, the environment, and the competency of system operators, as well as incomplete information have made it difficult to evaluate the performance of training simulation systems. To address the aforementioned problems, this study integrated analytic hierarchy process, soft set theory, and the fuzzy linguistic representation model to evaluate the performance of various training simulation systems. Furthermore, importance-performance analysis was adopted to examine the influence of saving costs and training safety of training simulation systems. The findings of this study are expected to facilitate applying military training simulation systems, avoiding wasting of resources (e.g., low utility and idle time), and providing data for subsequent applications and analysis. To verify the method proposed in this study, the numerical examples of the performance evaluation of training simulation systems were adopted and compared with the numerical results of an AHP and a novel AHP-based ranking technique. The results verified that not only could expert-provided questionnaire information be fully considered to lower the repetition rate of performance ranking, but a two-dimensional graph could also be used to help administrators allocate limited resources, thereby enhancing the investment benefits and training effectiveness of a training simulation system. PMID:27598390

  15. Reconciling White-Box and Black-Box Perspectives on Behavioral Self-adaptation

    DEFF Research Database (Denmark)

    Bruni, Roberto; Corradini, Andrea; Gadducci, Fabio; Hölzl, Matthias; Lluch Lafuente, Alberto; Vandin, Andrea; Wirsing, Martin

    This paper proposes to reconcile two perspectives on behavioral adaptation commonly taken at different stages of the engineering of autonomic computing systems. Requirements engineering activities often take a black-box perspective: A system is considered to be adaptive with respect to an...... environment whenever the system is able to satisfy its goals irrespectively of the environment perturbations. Modeling and programming engineering activities often take a white-box perspective: A system is equipped with suitable adaptation mechanisms and its behavior is classified as adaptive depending on...... whether the adaptation mechanisms are enacted or not. The proposed approach reconciles black- and white-box perspectives by proposing several notions of coherence between the adaptivity as observed by the two perspectives: These notions provide useful criteria for the system developer to assess and...

  16. A general scheme for training and optimization of the Grenander deformable template model

    DEFF Research Database (Denmark)

    Fisker, Rune; Schultz, Nette; Duta, N.; Carstensen, Jens Michael

    2000-01-01

    parameters, a very fast general initialization algorithm and an adaptive likelihood model based on local means. The model parameters are trained by a combination of a 2D shape learning algorithm and a maximum likelihood based criteria. The fast initialization algorithm is based on a search approach using a...... applying the general deformable template model proposed by (Grenander et al., 1991) to a new problem with minimal manual interaction, beside supplying a training set, which can be done by a non-expert user. The main contributions compared to previous work are a supervised learning scheme for the model...

  17. Multi-output Model with Box-Jenkins Operators of Quadratic Indices for Prediction of Malaria and Cancer Inhibitors Targeting Ubiquitin- Proteasome Pathway (UPP) Proteins.

    Science.gov (United States)

    Casañola-Martin, Gerardo M; Le-Thi-Thu, Huong; Pérez-Giménez, Facundo; Marrero-Ponce, Yovani; Merino-Sanjuán, Matilde; Abad, Concepción; González-Díaz, Humberto

    2016-01-01

    The ubiquitin-proteasome pathway (UPP) is the primary degradation system of short-lived regulatory proteins. Cellular processes such as the cell cycle, signal transduction, gene expression, DNA repair and apoptosis are regulated by this UPP and dysfunctions in this system have important implications in the development of cancer, neurodegenerative, cardiac and other human pathologies. UPP seems also to be very important in the function of eukaryote cells of the human parasites like Plasmodium falciparum, the causal agent of the neglected disease Malaria. Hence, the UPP could be considered as an attractive target for the development of compounds with Anti-Malarial or Anti-cancer properties. Recent online databases like ChEMBL contains a larger quantity of information in terms of pharmacological assay protocols and compounds tested as UPP inhibitors under many different conditions. This large amount of data give new openings for the computer-aided identification of UPP inhibitors, but the intrinsic data diversity is an obstacle for the development of successful classifiers. To solve this problem here we used the Bob-Jenkins moving average operators and the atom-based quadratic molecular indices calculated with the software TOMOCOMD-CARDD (TC) to develop a quantitative model for the prediction of the multiple outputs in this complex dataset. Our multi-target model can predict results for drugs against 22 molecular or cellular targets of different organisms with accuracies above 70% in both training and validation sets. PMID:26427384

  18. Development of a Base Model for the New Fire PSA Training

    International Nuclear Information System (INIS)

    US NRC/EPRI issued a new fire PSA method represented by NUREG/CR 6850, and have been training many operators and inspectors to widely spread the new method. However, there is a limitation in time and efficiency for many foreigners, who generally have communication problem, to participate in the EPRI/NRC training to learn the new method. Since it is about time to introduce the new fire PSA method as a regulatory requirement for the fire protection in Korea, a simple and easy-understandable base model for the fire PSA training is required, and KAERI-KINS is jointly preparing the base model for the new fire PSA training. This paper describes how the base model is developed. Using an imaginary simple NPP, a base model of fire PSA following the new fire PSA method was developed in two ways from the internal PSA model. Since we have the base model and know the process of making the fire PSA model, the training for the new fire PSA method can be in detail performed in Korea

  19. The North Dakota Mental Health and Aging Education Project: Curriculum Design and Training Outcomes for a Train-the-Trainer Model

    Science.gov (United States)

    Fitzgerald, Margaret A.; Chromy, Barbara; Philbrick, Candace A.; Sanders, Gregory F.; Muske, Kara L.; Bratteli, Marlys

    2009-01-01

    A training curriculum on mental health and aging was developed and disseminated to 32 natural caregivers throughout a frontier state using a train-the-trainer model. Those certified as trainers included social workers, religious professionals, volunteers, long-term care employees, nurses, home health workers, and professional and informal…

  20. An Improved Discrete-Time Model for Heterogeneous High-Speed Train Traffic Flow

    Science.gov (United States)

    Xu, Yan; Jia, Bin; Li, Ming-Hua; Li, Xin-Gang

    2016-03-01

    This paper aims to present a simulation model for heterogeneous high-speed train traffic flow based on an improved discrete-time model (IDTM). In the proposed simulation model, four train control strategies, including departing strategy, traveling strategy, braking strategy, overtaking strategy, are well defined to optimize train movements. Based on the proposed simulation model, some characteristics of train traffic flow are investigated. Numerical results indicate that the departure time intervals, the station dwell time, the section length, and the ratio of fast trains have different influence on traffic capacity and train average velocity. The results can provide some theoretical support for the strategy making of railway departments. Supported by the National Basic Research Program of China under Grant No. 2012CB725400, the National Natural Science Foundation of China under Grant No. 71222101, the Research Foundation of State Key Laboratory of Rail Traffic Control and Safety under Grant No. RCS2014ZT16, and the Fundamental Research Funds for the Central Universities No. 2015YJS088, Beijing Jiaotong University

  1. Simulation and integrated testing of process models of PFBR operator training simulator

    International Nuclear Information System (INIS)

    High fidelity full scope operator training simulators play key role in imparting plant related knowledge to the operating personnel in an effective way. It provides a platform for training the operators on normal and emergency conditions including all types of scenarios that would arise in any nuclear power plant. The scenario based training helps the plant operator to handle the crisis in an efficient manner with the ultimate goal of safe and efficient operation of the plant. This paper discusses about the general description of PFBR Operator Training Simulator, modeling and simulation of various process models, the complexities involved etc. It also covers the associated process logics, controls, display of alarms and indications, malfunctions and transient incidents related to each process model, integration with other sub systems, individual process model testing, integrated performance testing and verification and validation of models. Simulation of process models are broadly classified into two main categories namely, External Models - that are developed in-house and ported to the simulator environment and Internal Models - that are developed using Simulation Tool. External Models are tested on the desk top for intended functioning and after obtaining satisfactory results, the models are ported to the simulator base where in the Logical and Virtual Panel Model are built to represent a real system of the plant. Internal Models are built using the Simulation Tools and integrated with the External Models after testing. Combination of External and Internal Model represents the total plant and the performance testing is conducted in an Integrated Mode to qualify the Process Models for training purpose. (author)

  2. Teacher training through the Regression Model in foreign language education

    Directory of Open Access Journals (Sweden)

    Jesús García Laborda

    2011-01-01

    Full Text Available In the last few years, Spain has seen dramatic changes in its educational system. Many of these changes have been rejected by most teachers after their implementation (LOGSE while others have found potential drawbacks even before starting operating (LOCE, LOE. To face these changes, schools need well qualified instructors. Given this need, and also considering that, although all the schools want the best teachers but, as teachers’ salaries are regulated by the state, few schools can actually offer incentives to their teachers and consequently schools never have the instructors they wish. Apart from this, state schools have a fixed salary for their teachers and private institutions offer no additional bonuses for things like additional training or diplomas (for example, masters or post-degree courses and, therefore, teachers are rarely interested in pursuing any further studies in methodology or any other related fields such as education or applied linguistics. Although many teachers acknowledge their love to teaching, the current situation in schools (school violence, bad salaries, depression, social desprestige, legal changes and so has made the teaching job one of the most complicated and undevoted in Spain. It is not unusual to have a couple of instructors ill due to depression and other psychological sicknesses. This paper deals with the development and implementation of a training program based on regressive visualizations of one’s experience both as a teacher as well as a learner.

  3. Teacher training through the Regression Model in foreign language education

    Directory of Open Access Journals (Sweden)

    Jesús García Laborda

    2011-01-01

    Full Text Available In the last few years, Spain has seen dramatic changes in its educational system. Many of them have been rejected by most teachers after their implementation (LOGSE while others have found potential drawbacks even before starting operating (LOCE, LOE. To face these changes, schools need well qualified instructors. Given this need, and also considering that, although all the schools want the best teachers but, as teachers’ salaries are regulated by the state, few schools can actually offer incentives to their teachers and consequently schools never have the instructors they wish. Apart from this, state schools have a fixed salary for their teachers and private institutions offer no additional bonuses for things like additional training or diplomas (for example, masters or post-degree courses and, therefore, teachers are rarely interested in pursuing any further studies in methodology or any other related fields such as education or applied linguistics. Although many teachers acknowledge their love to teaching, the current situation in schools (school violence, bad salaries, depression, social desprestige, legal changes and so has made the teaching job one of the most complicated and undevoted in Spain. It is not unusual to have a couple of instructors ill due to depression and other psychological sicknesses. This paper deals with the development and implementation of a training program based on regressive visualizations of one’s experience both as a teacher as well as a learner.

  4. Myiasis in two box turtles.

    Science.gov (United States)

    Gould, W J; Georgi, M E

    1991-10-15

    Two eastern box turtles (Terrapene carolina carolina) were treated for myiasis caused by Sarcophaga cistudinis. The tortoises were examined because of swellings of the proximal cervical regions. Both fully recovered following surgical removal of multiple larvae. PMID:1748614

  5. Discrete event model-based simulation for train movement on a single-line railway

    International Nuclear Information System (INIS)

    The aim of this paper is to present a discrete event model-based approach to simulate train movement with the considered energy-saving factor. We conduct extensive case studies to show the dynamic characteristics of the traffic flow and demonstrate the effectiveness of the proposed approach. The simulation results indicate that the proposed discrete event model-based simulation approach is suitable for characterizing the movements of a group of trains on a single railway line with less iterations and CPU time. Additionally, some other qualitative and quantitative characteristics are investigated. In particular, because of the cumulative influence from the previous trains, the following trains should be accelerated or braked frequently to control the headway distance, leading to more energy consumption. (general)

  6. Tone model integration based on discriminative weight training for Putonghua speech recognition

    Institute of Scientific and Technical Information of China (English)

    HUANG Hao; ZHU Jie

    2008-01-01

    A discriminative framework of tone model integration in continuous speech recognition was proposed. The method uses model dependent weights to scale probabilities of the hidden Markov models based on spectral features and tone models based on tonal features.The weights are discriminatively trahined by minimum phone error criterion. Update equation of the model weights based on extended Baum-Welch algorithm is derived. Various schemes of model weight combination are evaluated and a smoothing technique is introduced to make training robust to over fitting. The proposed method is ewluated on tonal syllable output and character output speech recognition tasks. The experimental results show the proposed method has obtained 9.5% and 4.7% relative error reduction than global weight on the two tasks due to a better interpolation of the given models. This proves the effectiveness of discriminative trained model weights for tone model integration.

  7. Basic Plastic Surgery Skills Training Program on Inanimate Bench Models during Medical Graduation

    OpenAIRE

    Rafael Denadai; Andréia Padilha Toledo; Luis Ricardo Martinhão Souto

    2012-01-01

    Due to ethical and medical-legal drawbacks, high costs, and difficulties of accessibility that are inherent to the practice of basic surgical skills on living patients, fresh human cadaver, and live animals, the search for alternative forms of training is needed. In this study, the teaching and learning process of basic surgical skills pertinent to plastic surgery during medical education on different inanimate bench models as a form of alternative and complementary training to the teaching p...

  8. Task decomposition: a framework for comparing diverse training models in human brain plasticity studies

    OpenAIRE

    Herholz, Sibylle C.

    2013-01-01

    Training studies, in which the structural or functional neurophysiology is compared before and after expertise is acquired, are increasingly being used as models for understanding the human brain’s potential for reorganization. It is proving difficult to use these results to answer basic and important questions like how task training leads to both specific and general changes in behavior and how these changes correspond with modifications in the brain. The main culprit is the diversity of par...

  9. The Continuing Umbrella of Research Experiences (CURE): A Model for Training Underserved Scientists in Cancer Research

    OpenAIRE

    Franco, Idalid; Bailey, LeeAnn O.; Bakos, Alexis D.; Springfield, Sanya A.

    2010-01-01

    Mentoring is a critical aspect of research and training; and the adoption of a successful mentoring model for guiding researchers through the educational pipeline is lacking. The Continuing Umbrella of Research Experiences (CURE) program was established in the Comprehensive Minority Biomedical Branch; which is part of the National Cancer Institute. This program offers unique training and career development opportunities to enhance diversity in cancer research. The CURE initiative focuses on b...

  10. Decentralised facility-based training as an alternative model for SLMTA implementation: The Cameroon experience

    OpenAIRE

    Juliana Ndasi; Laura Dimite; Victor Mbome; Charles Awasom; Elive Ngale; Sidney Akuro; Ewane Leonard; Omotayo Bolu; Terrence Asong; Patrick Njukeng; Judith Shang

    2014-01-01

    Background:The Strengthening Laboratory Management Toward Accreditation (SLMTA) programme is designed to build institutional capacity to help strengthen the tiered laboratorysystem. Most countries implement the SLMTA three-workshop series using a centralised model, whereby participants from several laboratories travel to one location to be trained together.Objectives: We assessed the effectiveness and cost of conducting SLMTA training in adecentralised manner as compared to centralised traini...

  11. Bayesian spatio-temporal kriging with misspecified black-box

    OpenAIRE

    Faye, Papa-Abdulaye; faye, Papa Abdoulaye; Druilhet, Pierre; Azzaoui, Nourddine; Yao, Anne-Françoise

    2015-01-01

    We propose a new algorithm for spatio-temporal prediction. At a given time t, we use a Bayesian kriging model for spatial prediction. The temporal evolution from t to t + 1 is given by a deterministic black-box which can be a complex numerical code or a partial differential equation. As often in practice, the black-box is misspecified, in the sense that its parameters are imprecisely known or may be varying randomly over time. At time t, we use the black-box to obtain a rough prediction at ti...

  12. Application of Session Rating of Perceived Exertion Among Different Models of Resistance Training in Older Adults.

    Science.gov (United States)

    Conlon, Jenny A; Haff, G Gregory; Tufano, James J; Newton, Robert U

    2015-12-01

    The aim of this study was to assess the relationship between external measures of resistance training (RT) workload and intensity, volume load (VL) and training intensity (TI), and related internal measures, session load and session rating of perceived exertion (sRPE), across a chronic RT intervention and between different models of RT in older adults. Forty-one healthy, untrained older adults (female, 21; male, 20; age, 70.9 ± 5.1 years; height, 166.3 ± 8.2 cm; weight, 72.9 ± 13.4 kg) were randomly stratified into 3 RT groups: nonperiodized (NP), block periodized (BP), or daily undulating periodized (DUP). They completed a 22-week RT intervention at a frequency of 3 d·wk. All training was executed on RT machines, and training volume was equalized between training groups based on total repetitions. Session RPE was measured 10-15 minutes after each training session. There were no meaningful relationships between VL and session load or TI and sRPE. Also, no significant differences were detected between training groups for mean sRPE across the training intervention. Based on these results, session load and sRPE do not appear to be valid markers of RT workload and intensity when compared with established external measures in healthy untrained older adults. However, sRPE and session load may hold promise as monitoring tools in RT that do not involve training to muscular failure. Furthermore, sRPE does not significantly differ between NP, BP, and DUP RT models, highlighting that this measure is not sensitive to such periodization as evident in the present study. PMID:26595134

  13. Cardiovascular Surgery Residency Program: Training Coronary Anastomosis Using the Arroyo Simulator and UNIFESP Models

    Directory of Open Access Journals (Sweden)

    Miguel Angel Maluf

    2015-10-01

    Full Text Available ABSTRACT OBJECTIVE: Engage the UNIFESP Cardiovascular Surgery residents in coronary anastomosis, assess their skills and certify results, using the Arroyo Anastomosis Simulator and UNIFESP surgical models. METHODS: First to 6th year residents attended a weekly program of technical training in coronary anastomosis, using 4 simulation models: 1. Arroyo simulator; 2. Dummy with a plastic heart; 3. Dummy with a bovine heart; and 4. Dummy with a beating pig heart. The assessment test was comprised of 10 items, using a scale from 1 to 5 points in each of them, creating a global score of 50 points maximum. RESULTS: The technical performance of the candidate showed improvement in all items, especially manual skill and technical progress, critical sense of the work performed, confidence in the procedure and reduction of the time needed to perform the anastomosis after 12 weeks practice. In response to the multiplicity of factors that currently influence the cardiovascular surgeon training, there have been combined efforts to reform the practices of surgical medical training. CONCLUSION: 1 - The four models of simulators offer a considerable contribution to the field of cardiovascular surgery, improving the skill and dexterity of the surgeon in training. 2 - Residents have shown interest in training and cooperate in the development of innovative procedures for surgical medical training in the art.

  14. Training Needs Assessment for Leaders in Nursing Based on Comparison of Competency Models

    Directory of Open Access Journals (Sweden)

    Kvas Andreja

    2014-02-01

    Full Text Available Background and Purpose: The main purpose behind the formation of leadership competency models must be the improvement of leadership. A competency model should serve as one of the tools for selecting the most suitable leaders, appraising their work, assessing training needs and preparing programmes of functional and formal education. The objective of this research is to assess the training needs of leaders in health care. A comparison of leadership competency models between different professional groups should serve as one of the tools with which to assess the training needs of various levels of leaders. Design/Methodology/Approach: A descriptive study using a survey design was conducted on 141 nurse leaders in Slovenia. Respondents indicated to what extent each of 95 different behaviours was characteristic of a person at their leadership level. Results: The most important competence dimensions (groups of behaviours for leaders in health care are (1 at the first - top leadership level: strategic thinking, openness to change and responsibility; (2 for leaders at the second - middle leadership level: relations with co-workers, animation, resistance to stress; and (3 for leaders at the third leadership level: realisation skills, execution of procedures, communication. Training needs assessments were done for three leadership levels in nursing care. Conclusions: The greatest need for training of nurse leaders can be observed at the third leadership level. Special training programmes should be organised in the competency areas of realisation skills, execution of procedures, communication, education and ethics

  15. Task decomposition: a framework for comparing diverse training models in human brain plasticity studies

    Directory of Open Access Journals (Sweden)

    Emily B. J. Coffey

    2013-10-01

    Full Text Available Training studies, in which the structural or functional neurophysiology is compared before and after expertise is acquired, are increasingly being used as models for understanding the human brain’s potential for reorganization. It is proving difficult to use these results to answer basic and important questions like how task training leads to both specific and general changes in behaviour and how these changes correspond with modifications in the brain. The main culprit is the diversity of paradigms used as complex task models. An assortment of activities ranging from juggling to deciphering Morse code has been reported. Even when working in the same general domain, few researchers use similar training models. New ways to meaningfully compare complex tasks are needed. We propose a method for characterizing and deconstructing the task requirements of complex training paradigms, which is suitable for application to both structural and functional neuroimaging studies. We believe this approach will aid brain plasticity research by making it easier to compare training paradigms, identify ‘missing puzzle pieces’, and encourage researchers to design training protocols to bridge these gaps.

  16. Task decomposition: a framework for comparing diverse training models in human brain plasticity studies.

    Science.gov (United States)

    Coffey, Emily B J; Herholz, Sibylle C

    2013-01-01

    Training studies, in which the structural or functional neurophysiology is compared before and after expertise is acquired, are increasingly being used as models for understanding the human brain's potential for reorganization. It is proving difficult to use these results to answer basic and important questions like how task training leads to both specific and general changes in behavior and how these changes correspond with modifications in the brain. The main culprit is the diversity of paradigms used as complex task models. An assortment of activities ranging from juggling to deciphering Morse code has been reported. Even when working in the same general domain, few researchers use similar training models. New ways to meaningfully compare complex tasks are needed. We propose a method for characterizing and deconstructing the task requirements of complex training paradigms, which is suitable for application to both structural and functional neuroimaging studies. We believe this approach will aid brain plasticity research by making it easier to compare training paradigms, identify "missing puzzle pieces," and encourage researchers to design training protocols to bridge these gaps. PMID:24115927

  17. Simulation-based training for thoracoscopic lobectomy

    DEFF Research Database (Denmark)

    Jensen, Katrine; Ringsted, Charlotte; Hansen, Henrik Jessen;

    2014-01-01

    BACKGROUND: Video-assisted thoracic surgery is gradually replacing conventional open thoracotomy as the method of choice for the treatment of early-stage non-small cell lung cancers, and thoracic surgical trainees must learn and master this technique. Simulation-based training could help trainees...... overcome the first part of the learning curve, but no virtual-reality simulators for thoracoscopy are commercially available. This study aimed to investigate whether training on a laparoscopic simulator enables trainees to perform a thoracoscopic lobectomy. METHODS: Twenty-eight surgical residents were...... randomized to either virtual-reality training on a nephrectomy module or traditional black-box simulator training. After a retention period they performed a thoracoscopic lobectomy on a porcine model and their performance was scored using a previously validated assessment tool. RESULTS: The groups did not...

  18. Self-Organized Criticality with Complex Scaling Exponents in the Train Model

    OpenAIRE

    Elmer, Franz-Josef

    1997-01-01

    The train model which is a variant of the Burridge-Knopoff earthquake model is investigated for a velocity-strengthening friction law. It shows self-organized criticality with complex scaling exponents. That is, the probability density function of the avalanche strength is a power law times a log-periodic function. Exact results (scaling exponent: $3/2+2\\pi i/\\ln 4$) are found for a nonlocal cellular automaton which approximates the overdamped train model. Further the influence of random stat...

  19. Cuatro Modelos para Disenar Actividades de Capacitacion de Docentes (Four Models to Design In-Service Teacher Training Activities).

    Science.gov (United States)

    Valle, Victor M.

    In designing inservice teacher training activities, it is necessary to apply educational principles and teaching and learning techniques which are suitable for adult education programs. Four models for designing inservice teacher training programs are the Malcom Knowles Model, the Leonard Nadler Model, the Cyril O. Houle Model, and the William R.…

  20. A Study of a Three-Dimensional Action Research Training Model for School Library Programs

    Science.gov (United States)

    Gordon, Carol

    2006-01-01

    This is a detailed review of an in-depth action research training model and an investigation of how that model, supported through virtual and personal guidance from an academic researcher, served to impact the instructional practice of a small sample of school library media specialists (SLMSs). The researcher operates in the third dimension,…

  1. Digital Avionics Information System (DAIS): Training Requirements Analysis Model Users Guide. Final Report.

    Science.gov (United States)

    Czuchry, Andrew J.; And Others

    This user's guide describes the functions, logical operations and subroutines, input data requirements, and available outputs of the Training Requirements Analysis Model (TRAMOD), a computerized analytical life cycle cost modeling system for use in the early stages of system design. Operable in a stand-alone mode, TRAMOD can be used for the…

  2. Prejudice and Behavioral Archetypes: A New Model for Cultural-Diversity Training.

    Science.gov (United States)

    Sussman, Lyle

    1997-01-01

    Presents a new model to help corporate cultural diversity trainers help training participants become better and more effective "citizens" in their increasingly diverse corporate cultures. Discusses why some organizational acts and actors are seen as offensive whereas others are not. Incorporates intent and style into a model with four archetypes,…

  3. Teaching Quality Management Model for the Training of Innovation Ability and the Multilevel Decomposition Indicators

    Science.gov (United States)

    Lu, Xingjiang; Yao, Chen; Zheng, Jianmin

    2013-01-01

    This paper focuses on the training of undergraduate students' innovation ability. On top of the theoretical framework of the Quality Function Deployment (QFD), we propose a teaching quality management model. Based on this model, we establish a multilevel decomposition indicator system, which integrates innovation ability characterized by four…

  4. Modeling virtual fixed-position pipe welding for multimedia training of welders

    International Nuclear Information System (INIS)

    A mathematical model of pipeline joint formation during fixed-position welding has been developed for multimedia training of manual ark welding operators. Using this model in a welding simulator, it is possible to obtain an on-line image of a joint being formed and provide evaluation of some quality characteristics of the welded joint

  5. Dual Mission: An Innovative Field Model for Training Social Work Students for Work with Veterans

    Science.gov (United States)

    Selber, Katherine; Chavkin, Nancy Feyl; Biggs, Mary Jo Garcia

    2015-01-01

    This descriptive article explores a collaborative model that blends the dual missions of training social work students to work with military personnel, veterans, and their families while serving student veterans on campus. The model consists of 2 main components: (1) a nationally recognized service component for providing academic, health and…

  6. A Teacher Training Model for Improving Social Facilitation in the Inclusive Program

    Science.gov (United States)

    Robinson, Suzanne; Myck-Wayne, Janice

    2016-01-01

    The twofold purpose of this article is to highlight the importance of fostering social competence within inclusive preschool programs and to describe a model for training teachers in research-based social facilitation strategies so as to promote social interaction between children with and without disabilities. This model was developed to address…

  7. Behaviour Modelling, Instruction and Exploration Training Approaches in Group and Individual Contexts

    Science.gov (United States)

    Truman, G. E.

    2009-01-01

    Behaviour modelling has been associated with higher learning outcomes compared to other training approaches. These cumulative research findings create imperative to examine underlying causal mechanisms or contingency factors that may promote behaviour modelling's advantages even further. We propose group-based learning as one contingency factor…

  8. Comparison of black-box, glass-box and open-box software for aiding conceptual understanding

    OpenAIRE

    Hosein, Anesa; Aczel, James; Clow, Doug; Richardson, John T. E.

    2008-01-01

    Three mathematical software types: black-box (no steps shown), glass-box (steps shown) and open-box (interactive steps) were used by 32 students to solve conceptual and procedural tasks on the computer via remote observation. Comparison of the three software types suggests that there is no difference in the scores that students receive for conceptual understanding tasks. Students using the black-box are more likely to explore answers than students using the glass and open-box software.

  9. Modeling and Verification for Track Circuit Encoding in Train Control Center Based on UML and TA

    OpenAIRE

    Lei Yuan; Lijuan Wang; Dewang Chen; Amie Albrecht

    2014-01-01

    The correct implementation of Train Control Center (TCC) software has great significance on the safe operation of high-speed railways. There are some problems in the currently used timed automata (TA) method for modeling TCC software, such as subjectivity and uncertainty in the modeling.  In order to better verify the features of TCC software, this paper presents a new modeling method which combines Unified Modeling Language (UML) and Timed Automata (TA). As track circuit encoding functi...

  10. Plate forming and break down pizza box

    Science.gov (United States)

    Pantisano, Frank; Devine, Scott M.

    1992-01-01

    A standard corrugated paper pizza box is provided with slit cuts cut through the top panel of the pizza box in a shape to form four circular serving plates with a beveled raised edge and cross slit cuts through the bottom panel of the pizza box separating the box into four essentially equal portions for easy disposal.

  11. Cognitive training modifies disease symptoms in a mouse model of Huntington's disease.

    Science.gov (United States)

    Yhnell, Emma; Lelos, Mariah J; Dunnett, Stephen B; Brooks, Simon P

    2016-08-01

    Huntington's disease (HD) is an incurable neurodegenerative disorder which causes a triad of motor, cognitive and psychiatric disturbances. Cognitive disruptions are a core feature of the disease, which significantly affect daily activities and quality of life, therefore cognitive training interventions present an exciting therapeutic intervention possibility for HD. We aimed to determine if specific cognitive training, in an operant task of attention, modifies the subsequent behavioural and neuropathological phenotype of the Hdh(Q111) mouse model of HD. Three testing groups comprising both Hdh(Q111) mice and wildtype controls were used. The first group received cognitive training in an operant task of attention at 4months of age. The second group received cognitive training in a comparable non-attentional operant task at 4months of age, and the third group were control animals that did not receive cognitive training. All groups were then tested in an operant task of attention at 12months of age. Relative to naïve untrained mice, both wildtype and Hdh(Q111) mice that received cognitive training in the operant task of attention demonstrated an increased number of trials initiated, greater accuracy, and fewer 'time out' errors. A specific improvement in response time performance was observed in Hdh(Q111) mice, relative to naïve untrained Hdh(Q111) mice. Relative to the group that received comparable training in a non-attentional task, both wildtype and Hdh(Q111) mice that received attentional training demonstrated superior accuracy in the task and made fewer 'time out' errors. Despite significant behavioural change, in both wildtype and Hdh(Q111) mice that had received cognitive training, no significant changes in neuropathology were observed between any of the testing groups. These results demonstrate that attentional cognitive training implemented at a young age significantly improves attentional performance, at an older age, in both wildtype and Hdh(Q111) mice

  12. Flooding of the Saar-Lorraine Coal Mines: coupling of the regional model of the lower triassic sandstones aquifer with a 'box' model of the mining reservoir

    International Nuclear Information System (INIS)

    Charbonnages de France (CdF) and Deutsche Steinkohle AG (DSK) has mandated the ANTEA/DMT working group to draw up a trans-border groundwater / mining reservoir coupling model for the Center-East sector. This coupling makes it possible to calculate pumping flows, according to pressure losses between mines, in order to prevent brackish water intrusion from mines to the Lower Triassic Sandstones aquifer. (authors)

  13. MODEL OF PSYCHO-PEDAGOGICAL TRAINING OF STUDENTS-VOLUNTEERS IN HIGH SCHOOL

    Directory of Open Access Journals (Sweden)

    E. L. Podnebesnyh

    2015-01-01

    Full Text Available The article characterizes volunteering activities of students, defines the concept of "volunteering", proposes a model of psycho-pedagogical preparation of students volunteers to train volunteers among the students, the characteristics of psychological and pedagogical technologies such as: conceptuality, consistency, pithiness, processuality, controllability, situationality, reproducibility, productivity, flexibility, dinamism, diagnosticity; forms of work - individual, group, mixed; principles - centering, personification, conventionality and responsibility, optimistic strategy and goodwill, social hardening; the stages of preparation of volunteers - motivational- evaluative, procedurally-active, the outcome – evaluative. Considering the structural elements of the model of training volunteers among the students were to determine the purpose of training, its psycho-pedagogical structure; psychic material, construction; a set of operations to achieve this objective, considered at various levels; psychological characteristics and professional communicators (teachers who realize this goal by selected operations; psychological characteristics of the recipients (students involved in the act of communication with the defined objectives, by reacting with specific communicators and performing certain operations on the tasks of training; instruments used in performing these operations; principles of training, according to which the goal was formulated, the operation to achieve this goal are selected and implemented. The productivity of the implementation of psychopedagogical technologies in training of volunteers is described.

  14. Nuclear power plant training simulator modeling organization and method

    International Nuclear Information System (INIS)

    A description is given of a training simulator for the full-scope real-time dynamic operation of a nuclear power plant which utilizes apparatus that includes control consoles having manual and automatic devices corresponding to simulated plant components and indicating devices for monitoring physical values in the simulated plants. A digital computer configuration is connected to the control consoles to calculate the dynamic real-time simulated operation of the plant in accordance with the simulated plant components to provide output data including data for operating the control console indicating devices. The plant simulation is modularized into various plant components or component systems. Simulated plant components or component systems are described by a mathematical equation embodied in a computer program which accepts data from other simulated plant components or systems, calculates output values including values which are used as inputs for simulator calculators by other simulated plant components or systems, and responds in a manner similar to that of its corresponding physical entity in both transient and steady states

  15. Principal Investigator-in-a-Box

    Science.gov (United States)

    Young, Laurence R.

    1999-01-01

    Human performance in orbit is currently limited by several factors beyond the intrinsic awkwardness of motor control in weightlessness. Cognitive functioning can be affected by such factors as cumulative sleep loss, stress and the psychological effects of long-duration small-group isolation. When an astronaut operates a scientific experiment, the performance decrement associated with such factors can lead to lost or poor quality data and even the total loss of a scientific objective, at great cost to the sponsors and to the dismay of the Principal Investigator. In long-duration flights, as anticipated on the International Space Station and on any planetary exploration, the experimental model is further complicated by long delays between training and experiment, and the large number of experiments each crew member must perform. Although no documented studies have been published on the subject, astronauts report that an unusually large number of simple errors are made in space. Whether a result of the effects of microgravity, accumulated fatigue, stress or other factors, this pattern of increased error supports the need for a computerized decision-making aid for astronauts performing experiments. Artificial intelligence and expert systems might serve as powerful tools for assisting experiments in space. Those conducting space experiments typically need assistance exactly when the planned checklist does not apply. Expert systems, which use bits of human knowledge and human methods to respond appropriately to unusual situations, have a flexibility that is highly desirable in circumstances where an invariably predictable course of action/response does not exist. Frequently the human expert on the ground is unavailable, lacking the latest information, or not consulted by the astronaut conducting the experiment. In response to these issues, we have developed "Principal Investigator-in-a-Box," or [PI], to capture the reasoning process of the real expert, the Principal

  16. Source modelling of train noise - Literature review and some initial measurements

    Energy Technology Data Exchange (ETDEWEB)

    Zhang Xuetao; Jonasson, Hans; Holmberg, Kjell

    2000-07-01

    A literature review of source modelling of railway noise is reported. Measurements on a special test rig at Surahammar and on the new railway line between Arlanda and Stockholm City are reported and analyzed. In the analysis the train is modelled as a number of point sources with or without directivity and each source is combined with analytical sound propagation theory to predict the sound propagation pattern best fitting the measured data. Wheel/rail rolling noise is considered to be the most important noise source. The rolling noise can be modelled as an array of moving point sources, which have a dipole-like horizontal directivity and some kind of vertical directivity. In general it is necessary to distribute the point sources on several heights. Based on our model analysis the source heights for the rolling noise should be below the wheel axles and the most important height is about a quarter of wheel diameter above the railheads. When train speeds are greater than 250 km/h aerodynamic noise will become important and even dominant. It may be important for low frequency components only if the train speed is less than 220 km/h. Little data are available for these cases. It is believed that aerodynamic noise has dipole-like directivity. Its spectrum depends on many factors: speed, railway system, type of train, bogies, wheels, pantograph, presence of barriers and even weather conditions. Other sources such as fans, engine, transmission and carriage bodies are at most second order noise sources, but for trains with a diesel locomotive engine the engine noise will be dominant if train speeds are less than about 100 km/h. The Nord 2000 comprehensive model for sound propagation outdoors, together with the source model that is based on the understandings above, can suitably handle the problems of railway noise propagation in one-third octave bands although there are still problems left to be solved.

  17. Unconventional Bearing Capacity Analysis and Optimization of Multicell Box Girders

    Directory of Open Access Journals (Sweden)

    Jovan Tepic

    2014-01-01

    Full Text Available This study deals with unconventional bearing capacity analysis and the procedure of optimizing a two-cell box girder. The generalized model which enables the local stress-strain analysis of multicell girders was developed based on the principle of cross-sectional decomposition. The applied methodology is verified using the experimental data (Djelosevic et al., 2012 for traditionally formed box girders. The qualitative and quantitative evaluation of results obtained for the two-cell box girder is realized based on comparative analysis using the finite element method (FEM and the ANSYS v12 software. The deflection function obtained by analytical and numerical methods was found consistent provided that the maximum deviation does not exceed 4%. Multicell box girders are rationally designed support structures characterized by much lower susceptibility of their cross-sectional elements to buckling and higher specific capacity than traditionally formed box girders. The developed local stress model is applied for optimizing the cross section of a two-cell box carrier. The author points to the advantages of implementing the model of local stresses in the optimization process and concludes that the technological reserve of bearing capacity amounts to 20% at the same girder weight and constant load conditions.

  18. 利用回声状态网络建立管式聚合反应的灰箱模型%An approach of grey-box modeling with echo state network for tubular polymerization reaction

    Institute of Scientific and Technical Information of China (English)

    秦松; 曹柳林

    2014-01-01

    提出一种利用回声状态网络(echo state network, ESN)建立复杂分布参数系统模型的灰箱建模方法。此建模方法可以充分利用已知机理模型的结构信息和回声状态网络的逼近能力,可更好地描述和解释出系统各变量之间的因果关系,使模型的“灰箱”化程度更高。首先,根据系统方程和先验知识将初始系统特征团引入ESN储备池中,赋予网络节点实际物理意义,并以此建立结构逼近神经网络模型;然后,通过逐步回归分析方法,结合递归最小二乘算法选择最优系统特征团,并对网络结构进行优化,建立起描述系统特性关系的灰箱模型。本文以实验室规模的管式聚合反应过程作为实验对象,建立以温度分布为输出的数学模型,结果表明所提出的灰箱建模方法行之有效。%An approach of grey-box modeling with Echo State Network (ESN) is developed for modeling dynamic processes with nonlinear characteristics. This method can take full advantage of the already known structural information of the mechanism model at the early stage of modeling and make better use of the approximation ability of neural networks, thus resulting in higher accuracy of grey-box modeling. By combination the prior knowledge and systematic equations into ESN state pool, structure approaching neural network (SAAN) is established based on system feature block, and it is given actual significance. Then the optimal fundamental genes were chosen through recursive least square method with stepwise regression analysis to optimize the structure of SANN, so as to get the grey-box model. Detailed process of modeling was described in modeling of tubular polymerization reaction in laboratory scale. The simulation result proves that the approach is effective.ocesses heat exchanger network synthesis by taking place.

  19. Comparison of box-air-mass-factors and radiances for Multiple-Axis Differential Optical Absorption Spectroscopy (MAX-DOAS geometries calculated from different UV/visible radiative transfer models

    Directory of Open Access Journals (Sweden)

    T. Wagner

    2007-01-01

    Full Text Available The results of a comparison exercise of radiative transfer models (RTM of various international research groups for Multiple AXis Differential Optical Absorption Spectroscopy (MAX-DOAS viewing geometry are presented. Besides the assessment of the agreement between the different models, a second focus of the comparison was the systematic investigation of the sensitivity of the MAX-DOAS technique under various viewing geometries and aerosol conditions. In contrast to previous comparison exercises, box-air-mass-factors (box-AMFs for different atmospheric height layers were modelled, which describe the sensitivity of the measurements as a function of altitude. In addition, radiances were calculated allowing the identification of potential errors, which might be overlooked if only AMFs are compared. Accurate modelling of radiances is also a prerequisite for the correct interpretation of satellite observations, for which the received radiance can strongly vary across the large ground pixels, and might be also important for the retrieval of aerosol properties as a future application of MAX-DOAS. The comparison exercises included different wavelengths and atmospheric scenarios (with and without aerosols. The strong and systematic influence of aerosol scattering indicates that from MAX-DOAS observations also information on atmospheric aerosols can be retrieved. During the various iterations of the exercises, the results from all models showed a substantial convergence, and the final data sets agreed for most cases within about 5%. Larger deviations were found for cases with low atmospheric optical depth, for which the photon path lengths along the line of sight of the instrument can become very large. The differences occurred between models including full spherical geometry and those using only plane parallel approximation indicating that the correct treatment of the Earth's sphericity becomes indispensable. The modelled box-AMFs constitute an

  20. A competencies-based mental health training model for health professionals in low and middle income countries

    OpenAIRE

    Kutcher, Stan; Chehil, Sonia; CASH, COLLEEN; MILLAR, JIM

    2005-01-01

    This paper describes a competencies-based training model specifically created to teach needed mental health skills to health professionals in low and middle income countries (LMICs). The model combines a mental health training needs assessment with the delivery of mental health training modules aligned with national/regional mental health priorities and designed to be used by all health professionals at various levels of the health care system. The model also defines a susta...

  1. First-aid boxes - Reminder

    CERN Multimedia

    GS Department

    2010-01-01

    With a view to ensuring optimum use of the first-aid boxes on the CERN site, we should like to remind you of various changes introduced in March 2009: The TSO of the buildings concerned is responsible for the first-aid boxes, including checking their contents.   First-aid boxes may be restocked ONLY at the CERN stores (SCEM No. 54.99.80). This is no longer possible at the Infirmary. The associated cost is charged to the Departments.   First-aid boxes should be used only for mild injuries. All other cases should be referred to the Medical Service Infirmary (Bldg. 57 – ground-floor, tel. 73802) between 8.00 a.m. and 5.30 p.m. or to the Fire and Rescue Service (tel. 74444). N.B.: This information does not apply to the red emergency first-aid boxes in the underground areas or to the emergency kits for use in the event of being splashed with hydrofluoric acid.

  2. Training Systems Modelers through the Development of a Multi-scale Chagas Disease Risk Model

    Science.gov (United States)

    Hanley, J.; Stevens-Goodnight, S.; Kulkarni, S.; Bustamante, D.; Fytilis, N.; Goff, P.; Monroy, C.; Morrissey, L. A.; Orantes, L.; Stevens, L.; Dorn, P.; Lucero, D.; Rios, J.; Rizzo, D. M.

    2012-12-01

    The goal of our NSF-sponsored Division of Behavioral and Cognitive Sciences grant is to create a multidisciplinary approach to develop spatially explicit models of vector-borne disease risk using Chagas disease as our model. Chagas disease is a parasitic disease endemic to Latin America that afflicts an estimated 10 million people. The causative agent (Trypanosoma cruzi) is most commonly transmitted to humans by blood feeding triatomine insect vectors. Our objectives are: (1) advance knowledge on the multiple interacting factors affecting the transmission of Chagas disease, and (2) provide next generation genomic and spatial analysis tools applicable to the study of other vector-borne diseases worldwide. This funding is a collaborative effort between the RSENR (UVM), the School of Engineering (UVM), the Department of Biology (UVM), the Department of Biological Sciences (Loyola (New Orleans)) and the Laboratory of Applied Entomology and Parasitology (Universidad de San Carlos). Throughout this five-year study, multi-educational groups (i.e., high school, undergraduate, graduate, and postdoctoral) will be trained in systems modeling. This systems approach challenges students to incorporate environmental, social, and economic as well as technical aspects and enables modelers to simulate and visualize topics that would either be too expensive, complex or difficult to study directly (Yasar and Landau 2003). We launch this research by developing a set of multi-scale, epidemiological models of Chagas disease risk using STELLA® software v.9.1.3 (isee systems, inc., Lebanon, NH). We use this particular system dynamics software as a starting point because of its simple graphical user interface (e.g., behavior-over-time graphs, stock/flow diagrams, and causal loops). To date, high school and undergraduate students have created a set of multi-scale (i.e., homestead, village, and regional) disease models. Modeling the system at multiple spatial scales forces recognition that

  3. Models of Workplace Training in North America: A Review.

    Science.gov (United States)

    Tang, Kwong-Leung; Cheung, Jacqueline Tak-York

    1996-01-01

    Declining popularity of behaviorism is due to social changes, the needs of capitalism, importance of worker ownership, and management attitude changes. Alternative models include action regulation theory, critical reflectivity perspective, and working class adult education approach. (SK)

  4. Dust Plume Modeling at Fort Bliss: Move-Out Operations, Combat Training and Wind Erosion

    Energy Technology Data Exchange (ETDEWEB)

    Chapman, Elaine G.; Rishel, Jeremy P.; Rutz, Frederick C.; Seiple, Timothy E.; Newsom, Rob K.; Allwine, K Jerry

    2006-09-29

    The potential for air-quality impacts from heavy mechanized vehicles operating in the training ranges and on the unpaved main supply routes at Fort Bliss was investigated. This report details efforts by the staff of Pacific Northwest National Laboratory for the Fort Bliss Directorate of Environment in this investigation. Dust emission and dispersion from typical activities, including move outs and combat training, occurring on the installation were simulated using the atmospheric modeling system DUSTRAN. Major assumptions associated with designing specific modeling scenarios are summarized, and results from the simulations are presented.

  5. A graphical interface based model for wind turbine drive train dynamics

    Energy Technology Data Exchange (ETDEWEB)

    Manwell, J.F.; McGowan, J.G.; Abdulwahid, U.; Rogers, A. [Univ. of Massachusetts, Amherst, MA (United States); McNiff, B. [McNiff Light Industry, Blue Hill, ME (United States)

    1996-12-31

    This paper presents a summary of a wind turbine drive train dynamics code that has been under development at the University of Massachusetts, under National Renewable Energy Laboratory (NREL) support. The code is intended to be used to assist in the proper design and selection of drive train components. This work summarizes the development of the equations of motion for the model, and discusses the method of solution. In addition, a number of comparisons with analytical solutions and experimental field data are given. The summary includes conclusions and suggestions for future work on the model. 13 refs., 10 figs.

  6. Hierarchical Modeling and Verification for High-speed Train Control Center by Time Automation

    OpenAIRE

    Lei Yuan; Shiying Yang; Dewang Chen; Kaicheng Li

    2014-01-01

    Chinese Train Control System level three (CTCS-3) is a major technical system in Chinese high-speed rail and Train Control System (TCC) is indispensable component in the CTCS-3. Current researches on TCC are mainly based on the simulation, which cannot ensure that all conditions in TCC are tested. This paper presents a hierarchical modeling method and uses time automation (TA) to model the TCC software. We take the design of the active balise telegram editing, a major part in the TCC software...

  7. Improved Marquardt Algorithm for Training Neural Networks for Chemical Process Modeling

    Institute of Scientific and Technical Information of China (English)

    吴建昱; 何小荣

    2002-01-01

    Back-propagation (BP) artificial neural networks have been widely used to model chemical processes. BP networks are often trained using the generalized delta-rule (GDR) algorithm but application of such networks is limited because of the low convergent speed of the algorithm. This paper presents a new algorithm incorporating the Marquardt algorithm into the BP algorithm for training feedforward BP neural networks. The new algorithm was tested with several case studies and used to model the Reid vapor pressure (RVP) of stabilizer gasoline. The new algorithm has faster convergence and is much more efficient than the GDR algorithm.

  8. Development of a nuclear plant operator's thought model by the use of a training simulator

    International Nuclear Information System (INIS)

    This paper reports on the method for developing an operator's thought model by the use of a training simulator that was investigated and the method which analyzes systematically the time series data of an operator's verbal protocol and behavior by putting them in order according to a fixed format has been proposed. The experiment by the use of the experimental fast breeder reactor JOYO training simulator was carried out and the experiment data was analyzed using the above method. An operator's thought model which is founded on hypothesis-based reasoning and very practical has been developed. Finally, how to apply it to the development of autonomous nuclear power plants was investigated

  9. Toll-like receptor 4 and high-mobility group box 1 are critical mediators of tissue injury and survival in a mouse model for heatstroke.

    Directory of Open Access Journals (Sweden)

    Mohammed Dehbi

    Full Text Available The molecular mechanisms that initiate the inflammatory response in heatstroke and their relation with tissue injury and lethality are not fully elucidated. We examined whether endogenous ligands released by damaged/stressed cells such as high-mobility group box 1 (HMGB1 signaling through Toll-like receptor 4 (TLR4 may play a pathogenic role in heatstroke. Mutant TLR4-defective (C3H/HeJ and wild type (C3H/HeOuJ mice were subjected to heat stress in an environmental chamber pre-warmed at 43.5 °C until their core temperature reached 42.7°C, which was taken as the onset of heatstroke. The animals were then allowed to recover passively at ambient temperature. A sham-heated group served as a control. Mutant mice displayed more histological liver damage and higher mortality compared with wild type mice (73% vs. 27%, respectively, P<0.001. Compared to wild type mice, mutant mice exhibited earlier plasma release of markers of systemic inflammation such as HMGB1 (206 ± 105 vs. 63 ± 21 ng/ml; P = 0.0018 and 209 ± 100 vs. 46 ± 32 ng/ml; P<0.0001, IL-6 (144 ± 40 vs. 46 ± 20 pg/ml; P<0.001 and 184 ± 21 vs. 84 ± 54 pg/ml; P = 0.04, and IL-1β (27 ± 4 vs. 1.7 ± 2.3 pg/ml; P<0.0001 at 1 hour. Both strains of mice displayed early release of HMGB1 into the circulation upstream of IL-1β and IL-6 responses which remained elevated up to 24 h. Specific inhibition of HMGB1 activity with DNA-binding A Box (600 µg/mouse protected the mutant mice against the lethal effect of heat stress (60% A Box vs. 18% GST protein, P = 0.04. These findings suggest a protective role for the TLR4 in the host response to severe heat stress. They also suggest that HMGB1 is an early mediator of inflammation, tissue injury and lethality in heatstroke in the presence of defective TLR4 signaling.

  10. Endurance training ameliorates complex 3 deficiency in a mouse model of Barth syndrome.

    Science.gov (United States)

    Soustek, Meghan S; Baligand, Celine; Falk, Darin J; Walter, Glenn A; Lewin, Alfred S; Byrne, Barry J

    2015-09-01

    Barth syndrome (BTHS) is an X-linked metabolic disorder that causes cardiomyopathy in infancy and is linked to mutations within the Tafazzin (TAZ) gene. The first mouse model, a TAZ knockdown model (TAZKD), has been generated to further understand the bioenergetics leading to cardiomyopathy. However, the TAZKD model does not show early signs of cardiomyopathy, and cardiac pathophysiology has not been documented until 7-8 months of age. Here we sought to determine the impact of endurance training on the cardiac and skeletal muscle phenotype in young TAZKD mice. TAZKD exercise trained (TAZKD-ET) and control exercise trained (CON-ET) mice underwent a 35-day swimming protocol. Non-trained aged matched TAZKD and CON mice were used as controls. At the end of the protocol, cardiac MRI was used to assess cardiac parameters. Cardiac MRI showed that training resulted in cardiac hypertrophy within both groups and did not result in a decline of ejection fraction. TAZKD mice exhibited a decrease in respiratory complex I, III, and IV enzymatic activity in cardiac tissue compared to control mice; however, training led to an increase in complex III activity in TAZKD-ET mice resulting in similar levels to those of CON-ET mice. (31)P magnetic resonance spectroscopy of the gastrocnemius showed a significantly lowered pH in TAZKD-ET mice post electrical-stimulation compared to CON-ET mice. Endurance training does not accelerate cardiac dysfunction in young TAZKD mice, but results in beneficial physiological effects. Furthermore, our results suggest that a significant drop in intracellular pH levels may contribute to oxidative phosphorylation defects during exercise. PMID:25860817

  11. Performance comparison of neural network training algorithms in modeling of bimodal drug delivery.

    Science.gov (United States)

    Ghaffari, A; Abdollahi, H; Khoshayand, M R; Bozchalooi, I Soltani; Dadgar, A; Rafiee-Tehrani, M

    2006-12-11

    The major aim of this study was to model the effect of two causal factors, i.e. coating weight gain and amount of pectin-chitosan in the coating solution on the in vitro release profile of theophylline for bimodal drug delivery. Artificial neural network (ANN) as a multilayer perceptron feedforward network was incorporated for developing a predictive model of the formulations. Five different training algorithms belonging to three classes: gradient descent, quasi-Newton (Levenberg-Marquardt, LM) and genetic algorithm (GA) were used to train ANN containing a single hidden layer of four nodes. The next objective of the current study was to compare the performance of aforementioned algorithms with regard to predicting ability. The ANNs were trained with those algorithms using the available experimental data as the training set. The divergence of the RMSE between the output and target values of test set was monitored and used as a criterion to stop training. Two versions of gradient descent backpropagation algorithms, i.e. incremental backpropagation (IBP) and batch backpropagation (BBP) outperformed the others. No significant differences were found between the predictive abilities of IBP and BBP, although, the convergence speed of BBP is three- to four-fold higher than IBP. Although, both gradient descent backpropagation and LM methodologies gave comparable results for the data modeling, training of ANNs with genetic algorithm was erratic. The precision of predictive ability was measured for each training algorithm and their performances were in the order of: IBP, BBP>LM>QP (quick propagation)>GA. According to BBP-ANN implementation, an increase in coating levels and a decrease in the amount of pectin-chitosan generally retarded the drug release. Moreover, the latter causal factor namely the amount of pectin-chitosan played slightly more dominant role in determination of the dissolution profiles. PMID:16959449

  12. Landmine detection using ensemble discrete hidden Markov models with context dependent training methods

    Science.gov (United States)

    Hamdi, Anis; Missaoui, Oualid; Frigui, Hichem; Gader, Paul

    2010-04-01

    We propose a landmine detection algorithm that uses ensemble discrete hidden Markov models with context dependent training schemes. We hypothesize that the data are generated by K models. These different models reflect the fact that mines and clutter objects have different characteristics depending on the mine type, soil and weather conditions, and burial depth. Model identification is based on clustering in the log-likelihood space. First, one HMM is fit to each of the N individual sequence. For each fitted model, we evaluate the log-likelihood of each sequence. This will result in an N x N log-likelihood distance matrix that will be partitioned into K groups. In the second step, we learn the parameters of one discrete HMM per group. We propose using and optimizing various training approaches for the different K groups depending on their size and homogeneity. In particular, we will investigate the maximum likelihood, and the MCE-based discriminative training approaches. Results on large and diverse Ground Penetrating Radar data collections show that the proposed method can identify meaningful and coherent HMM models that describe different properties of the data. Each HMM models a group of alarm signatures that share common attributes such as clutter, mine type, and burial depth. Our initial experiments have also indicated that the proposed mixture model outperform the baseline HMM that uses one model for the mine and one model for the background.

  13. Improving in situ data acquisition using training images and a Bayesian mixture model

    Science.gov (United States)

    Abdollahifard, Mohammad Javad; Mariethoz, Gregoire; Pourfard, Mohammadreza

    2016-06-01

    Estimating the spatial distribution of physical processes using a minimum number of samples is of vital importance in earth science applications where sampling is costly. In recent years, training image-based methods have received a lot of attention for interpolation and simulation. However, training images have never been employed to optimize spatial sampling process. In this paper, a sequential compressive sampling method is presented which decides the location of new samples based on a training image. First, a Bayesian mixture model is developed based on the training patterns. Then, using this model, unknown values are estimated based on a limited number of random samples. Since the model is probabilistic, it allows estimating local uncertainty conditionally to the available samples. Based on this, new samples are sequentially extracted from the locations with maximum uncertainty. Experiments show that compared to a random sampling strategy, the proposed supervised sampling method significantly reduces the number of samples needed to achieve the same level of accuracy, even when the training image is not optimally chosen. The method has the potential to reduce the number of observations necessary for the characterization of environmental processes.

  14. Evaluation of model adequacy to an object in development of a training facility for NPP operator learning

    International Nuclear Information System (INIS)

    Conditions are considered and criteria of assessment of training model adequacy to an object are suggested. Technique for estimation of the model adequacy to the object is considered and an example of assessment of the model adequacy to the objet for WWER-440 reactor NPP training facility is presented

  15. Modeling and Simulation of Sport Games, Sport Movements, and Adaptations to Training (Dagstuhl Seminar 15382)

    OpenAIRE

    Duarte, Ricardo; Eskofier, Björn; Rumpf, Martin; Wiemeyer, Josef

    2016-01-01

    This report documents the program and the outcomes of Dagstuhl Seminar 15382 "Modeling and Simulation of Sport Games, Sport Movements, and Adaptations to Training". The primary goal of the seminar was the continuation of the interdisciplinary and transdisciplinarity research in sports and computer science with the emphasis on modeling and simulation technologies. In this seminar, experts on modeling and simulation from computer science, sport science, and industry were invited to discuss rece...

  16. A Contrast Study on Investment and Profit Analytic Model of Staff Training

    OpenAIRE

    Wenbiao Luo; Kun Shang

    2009-01-01

    Based on the application of all kinds of effect evaluation theories, we did a contrast study on investment and profit model of staff training. We first analyzed the significance and state quo of effect evaluation, then introduced all cost and profit measuring models, and then compared them to achieve the characteristics of the models; finally we presented directions on the future development and study emphases. 

  17. Asymptotic Symmetries from finite boxes

    CERN Document Server

    Andrade, Tomas

    2015-01-01

    It is natural to regulate an infinite-sized system by imposing a boundary condition at finite distance, placing the system in a "box." This breaks symmetries, though the breaking is small when the box is large. One should thus be able to obtain the asymptotic symmetries of the infinite system by studying regulated systems. We provide concrete examples in the context of Einstein-Hilbert gravity (with negative or zero cosmological constant) by showing in 4 or more dimensions how the Anti-de Sitter and Poincar\\'e asymptotic symmetries can be extracted from gravity in a spherical box with Dirichlet boundary conditions. In 2+1 dimensions we obtain the full double-Virasoro algebra of asymptotic symmetries for AdS$_3$ and, correspondingly, the full Bondi-Metzner-Sachs (BMS) algebra for asymptotically flat space. In higher dimensions, a related approach may continue to be useful for constructing a good asymptotically flat phase space with BMS asymptotic symmetries.

  18. Asymptotic symmetries from finite boxes

    Science.gov (United States)

    Andrade, Tomás; Marolf, Donald

    2016-01-01

    It is natural to regulate an infinite-sized system by imposing a boundary condition at finite distance, placing the system in a 'box.' This breaks symmetries, though the breaking is small when the box is large. One should thus be able to obtain the asymptotic symmetries of the infinite system by studying regulated systems. We provide concrete examples in the context of Einstein-Hilbert gravity (with negative or zero cosmological constant) by showing in 4 or more dimensions how the anti-de Sitter and Poincaré asymptotic symmetries can be extracted from gravity in a spherical box with Dirichlet boundary conditions. In 2 + 1 dimensions we obtain the full double-Virasoro algebra of asymptotic symmetries for AdS3 and, correspondingly, the full Bondi-Metzner-Sachs (BMS) algebra for asymptotically flat space. In higher dimensions, a related approach may continue to be useful for constructing a good asymptotically flat phase space with BMS asymptotic symmetries.

  19. BoxLib with Tiling: An AMR Software Framework

    CERN Document Server

    Zhang, Weiqun; Day, Marcus; Nguyen, Tan; Shalf, John; Unat, Didem

    2016-01-01

    In this paper we introduce a block-structured adaptive mesh refinement (AMR) software framework that incorporates tiling, a well-known loop transformation. Because the multiscale, multiphysics codes built in BoxLib are designed to solve complex systems at high resolution, performance on current and next generation architectures is essential. With the expectation of many more cores per node on next generation architectures, the ability to effectively utilize threads within a node is essential, and the current model for parallelization will not be sufficient. We describe a new version of BoxLib in which the tiling constructs are embedded so that BoxLib-based applications can easily realize expected performance gains without extra effort on the part of the application developer. We also discuss a path forward to enable future versions of BoxLib to take advantage of NUMA-aware optimizations using the TiDA portable library.

  20. Aircraft Anomaly Detection Using Performance Models Trained on Fleet Data

    Science.gov (United States)

    Gorinevsky, Dimitry; Matthews, Bryan L.; Martin, Rodney

    2012-01-01

    This paper describes an application of data mining technology called Distributed Fleet Monitoring (DFM) to Flight Operational Quality Assurance (FOQA) data collected from a fleet of commercial aircraft. DFM transforms the data into aircraft performance models, flight-to-flight trends, and individual flight anomalies by fitting a multi-level regression model to the data. The model represents aircraft flight performance and takes into account fixed effects: flight-to-flight and vehicle-to-vehicle variability. The regression parameters include aerodynamic coefficients and other aircraft performance parameters that are usually identified by aircraft manufacturers in flight tests. Using DFM, the multi-terabyte FOQA data set with half-million flights was processed in a few hours. The anomalies found include wrong values of competed variables, (e.g., aircraft weight), sensor failures and baises, failures, biases, and trends in flight actuators. These anomalies were missed by the existing airline monitoring of FOQA data exceedances.