WorldWideScience

Sample records for modeling pattern quality

  1. Patterns of data modeling

    CERN Document Server

    Blaha, Michael

    2010-01-01

    Best-selling author and database expert with more than 25 years of experience modeling application and enterprise data, Dr. Michael Blaha provides tried and tested data model patterns, to help readers avoid common modeling mistakes and unnecessary frustration on their way to building effective data models. Unlike the typical methodology book, "Patterns of Data Modeling" provides advanced techniques for those who have mastered the basics. Recognizing that database representation sets the path for software, determines its flexibility, affects its quality, and influences whether it succ

  2. A Data-Driven Modeling Strategy for Smart Grid Power Quality Coupling Assessment Based on Time Series Pattern Matching

    Directory of Open Access Journals (Sweden)

    Hao Yu

    2018-01-01

    Full Text Available This study introduces a data-driven modeling strategy for smart grid power quality (PQ coupling assessment based on time series pattern matching to quantify the influence of single and integrated disturbance among nodes in different pollution patterns. Periodic and random PQ patterns are constructed by using multidimensional frequency-domain decomposition for all disturbances. A multidimensional piecewise linear representation based on local extreme points is proposed to extract the patterns features of single and integrated disturbance in consideration of disturbance variation trend and severity. A feature distance of pattern (FDP is developed to implement pattern matching on univariate PQ time series (UPQTS and multivariate PQ time series (MPQTS to quantify the influence of single and integrated disturbance among nodes in the pollution patterns. Case studies on a 14-bus distribution system are performed and analyzed; the accuracy and applicability of the FDP in the smart grid PQ coupling assessment are verified by comparing with other time series pattern matching methods.

  3. A Process Pattern Model for Tackling and Improving Big Data Quality

    NARCIS (Netherlands)

    Wahyudi, A.; Kuk, George; Janssen, M.F.W.H.A.

    2018-01-01

    Data seldom create value by themselves. They need to be linked and combined from multiple sources, which can often come with variable data quality. The task of improving data quality is a recurring challenge. In this paper, we use a case study of a large telecom company to develop a generic

  4. A dynamic panel model of the associations of sweetened beverage purchases with dietary quality and food-purchasing patterns.

    Science.gov (United States)

    Piernas, Carmen; Ng, Shu Wen; Mendez, Michelle A; Gordon-Larsen, Penny; Popkin, Barry M

    2015-05-01

    Investigating the association between consumption of sweetened beverages and dietary quality is challenging because issues such as reverse causality and unmeasured confounding might result in biased and inconsistent estimates. Using a dynamic panel model with instrumental variables to address those issues, we examined the independent associations of beverages sweetened with caloric and low-calorie sweeteners with dietary quality and food-purchasing patterns. We analyzed purchase data from the Homescan survey, an ongoing, longitudinal, nationally representative US survey, from 2000 to 2010 (n = 34,294). Our model included lagged measures of dietary quality and beverage purchases (servings/day in the previous year) as exposures to predict the outcomes (macronutrient (kilocalories per capita per day; %), total energy, and food purchases) in the next year after adjustment for other sociodemographic covariates. Despite secular declines in purchases (kilocalories per capita per day) from all sources, each 1-serving/day increase in consumption of either beverage type resulted in higher purchases of total daily kilocalories and kilocalories from food, carbohydrates, total sugar, and total fat. Each 1-serving/day increase in consumption of either beverage was associated with more purchases of caloric-sweetened desserts or sweeteners, which accounted for a substantial proportion of the increase in total kilocalories. We concluded that consumers of both beverages sweetened with low-calorie sweeteners and beverages sweetened with caloric sweeteners had poorer dietary quality, exhibited higher energy from all purchases, sugar, and fat, and purchased more caloric-sweetened desserts/caloric sweeteners compared with nonconsumers. © The Author 2015. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

  5. Technical Note: Validation of halo modeling for proton pencil beam spot scanning using a quality assurance test pattern

    Energy Technology Data Exchange (ETDEWEB)

    Lin, Liyong, E-mail: linl@uphs.upenn.edu; Huang, Sheng; Kang, Minglei; Solberg, Timothy D.; McDonough, James E.; Ainsley, Christopher G. [Department of Radiation Oncology, University of Pennsylvania, 3400 Civic Center Boulevard, Philadelphia, Pennsylvania 19104 (United States)

    2015-09-15

    Purpose: The purpose of this paper is to demonstrate the utility of a comprehensive test pattern in validating calculation models that include the halo component (low-dose tails) of proton pencil beam scanning (PBS) spots. Such a pattern has been used previously for quality assurance purposes to assess spot shape, position, and dose. Methods: In this study, a scintillation detector was used to measure the test pattern in air at isocenter for two proton beam energies (115 and 225 MeV) of two IBA universal nozzles (UN #1 and UN #2). Planar measurements were compared with calculated dose distributions based on the weighted superposition of location-independent (UN #1) or location-dependent (UN #2) spot profiles, previously measured using a pair-magnification method and between two nozzles. Results: Including the halo component below 1% of the central dose is shown to improve the gamma-map comparison between calculation and measurement from 94.9% to 98.4% using 2 mm/2% criteria for the 115 MeV proton beam of UN #1. In contrast, including the halo component below 1% of the central dose does not improve the gamma agreement for the 115 MeV proton beam of UN #2, due to the cutoff of the halo component at off-axis locations. When location-dependent spot profiles are used for calculation instead of spot profiles at central axis, the gamma agreement is improved from 98.0% to 99.5% using 2 mm/2% criteria. The two nozzles clearly have different characteristics, as a direct comparison of measured data shows a passing rate of 89.7% for the 115 MeV proton beam. At 225 MeV, the corresponding gamma comparisons agree better between measurement and calculation, and between measurements in the two nozzles. Conclusions: In addition to confirming the primary component of individual PBS spot profiles, a comprehensive test pattern is useful for the validation of the halo component at off-axis locations, especially for low energy protons.

  6. PATTERN MATCHING IN MODELS

    Directory of Open Access Journals (Sweden)

    Cristian GEORGESCU

    2005-01-01

    Full Text Available The goal of this paper is to investigate how such a pattern matching could be performed on models,including the definition of the input language as well as the elaboration of efficient matchingalgorithms. Design patterns can be considered reusable micro-architectures that contribute to anoverall system architecture. Frameworks are also closely related to design patterns. Componentsoffer the possibility to radically change the behaviors and services offered by an application bysubstitution or addition of new components, even a long time after deployment. Software testing isanother aspect of reliable development. Testing activities mainly consist in ensuring that a systemimplementation conforms to its specifications.

  7. International Business Research: Coauthorship Patterns and Quality

    Science.gov (United States)

    Chan, Kam C; Fung, Hung-Gay; Leung, Wai K.

    2008-01-01

    The authors investigate published international business research in four international business journals over a 10-year period, 1995-2004: (a) patterns of coauthorship across regions, and (b) the relation between coauthorship patterns and the quality of international business (IB) articles. A cross-region coauthorship enhances the quality of an…

  8. Assessing the influence of land use land cover pattern, socio economic factors and air quality status to predict morbidity on the basis of logistic based regression model

    Science.gov (United States)

    Dixit, A.; Singh, V. K.

    2017-12-01

    Recent studies conducted by World Health Organisation (WHO) estimated that 92 % of the total world population are living in places where the air quality level has exceeded the WHO standard limit for air quality. This is due to the change in Land Use Land Cover (LULC) pattern, socio economic drivers and anthropogenic heat emission caused by manmade activity. Thereby, many prevalent human respiratory diseases such as lung cancer, chronic obstructive pulmonary disease and emphysema have increased in recent times. In this study, a quantitative relationship is developed between land use (built-up land, water bodies, and vegetation), socio economic drivers and air quality parameters using logistic based regression model over 7 different cities of India for the winter season of 2012 to 2016. Different LULC, socio economic, industrial emission sources, meteorological condition and air quality level from the monitoring stations are taken to estimate the influence on morbidity of each city. Results of correlation are analyzed between land use variables and monthly concentration of pollutants. These values range from 0.63 to 0.76. Similarly, the correlation value between land use variable with socio economic and morbidity ranges from 0.57 to 0.73. The performance of model is improved from 67 % to 79 % in estimating morbidity for the year 2015 and 2016 due to the better availability of observed data.The study highlights the growing importance of incorporating socio-economic drivers with air quality data for evaluating morbidity rate for each city in comparison to just change in quantitative analysis of air quality.

  9. Modelling Meat Quality Attributes.

    OpenAIRE

    Farrell, Terence C.

    2001-01-01

    Recent meat demand models incorporate demand functions for cuts of meat rather than whole carcasses. However, parameters for “meat quality” are seldom included in such models. Modelling difficulty arises as meat cuts are heterogeneous in their quality attributes. Meat quality may be assessed by measurement of attributes including tenderness, juiciness and flavour. Cooking method and cooking time are the two primary factors that affect meat-eating quality. The purpose of this paper is to show ...

  10. Chopper model of pattern recognition

    NARCIS (Netherlands)

    van Hemmen, J.L.; Enter, A.C.D. van

    A simple model is proposed that allows an efficient storage and retrieval of random patterns. Also correlated patterns can be handled. The data are stored in an Ising-spin system with ferromagnetic interactions between all the spins and the main idea is to "chop" the system along the boundaries

  11. Shape matters: animal colour patterns as signals of individual quality

    Science.gov (United States)

    2017-01-01

    Colour patterns (e.g. irregular, spotted or barred forms) are widespread in the animal kingdom, yet their potential role as signals of quality has been mostly neglected. However, a review of the published literature reveals that pattern itself (irrespective of its size or colour intensity) is a promising signal of individual quality across species of many different taxa. We propose at least four main pathways whereby patterns may reliably reflect individual quality: (i) as conventional signals of status, (ii) as indices of developmental homeostasis, (iii) by amplifying cues of somatic integrity and (iv) by amplifying individual investment in maintenance activities. Methodological constraints have traditionally hampered research on the signalling potential of colour patterns. To overcome this, we report a series of tools (e.g. colour adjacency and pattern regularity analyses, Fourier and granularity approaches, fractal geometry, geometric morphometrics) that allow objective quantification of pattern variability. We discuss how information provided by these methods should consider the visual system of the model species and behavioural responses to pattern metrics, in order to allow biologically meaningful conclusions. Finally, we propose future challenges in this research area that will require a multidisciplinary approach, bringing together inputs from genetics, physiology, behavioural ecology and evolutionary-developmental biology. PMID:28228513

  12. Quality Model Based on Cots Quality Attributes

    OpenAIRE

    Jawad Alkhateeb; Khaled Musa

    2013-01-01

    The quality of software is essential to corporations in making their commercial software. Good or poorquality to software plays an important role to some systems such as embedded systems, real-time systems,and control systems that play an important aspect in human life. Software products or commercial off theshelf software are usually programmed based on a software quality model. In the software engineeringfield, each quality model contains a set of attributes or characteristics that drives i...

  13. Modeling Architectural Patterns Using Architectural Primitives

    NARCIS (Netherlands)

    Zdun, Uwe; Avgeriou, Paris

    2005-01-01

    Architectural patterns are a key point in architectural documentation. Regrettably, there is poor support for modeling architectural patterns, because the pattern elements are not directly matched by elements in modeling languages, and, at the same time, patterns support an inherent variability that

  14. Quality Estimation for Vascular Pattern Recognition

    DEFF Research Database (Denmark)

    Hartung, Daniel; Martin, Sophie; Busch, Christoph

    2011-01-01

    of the algorithm using different processing methods and vein sample databases shows convincing results: disregarding low estimated quality sample images helps to increase the performance. Moreover, metadata gives accurate indications on sample quality. The algorithm works on low level raw images, it is fast...... and therefore qualified to be used in feedback mode during enrolment or verification operation....

  15. Extracting Patterns from Educational Traces via Clustering and Associated Quality Metrics

    NARCIS (Netherlands)

    Mihaescu, Marian; Tanasie, Alexandru; Dascalu, Mihai; Trausan-Matu, Stefan

    2016-01-01

    Clustering algorithms, pattern mining techniques and associated quality metrics emerged as reliable methods for modeling learners’ performance, comprehension and interaction in given educational scenarios. The specificity of available data such as missing values, extreme values or outliers,

  16. Modeling Architectural Patterns' Behavior Using Architectural Primitives

    NARCIS (Netherlands)

    Kamal, Ahmad Waqas; Avgeriou, Paris; Morrison, R; Balasubramaniam, D; Falkner, K

    2008-01-01

    Architectural patterns have an impact on both the structure and the behavior of a system at the architecture design level. However, it is challenging to model patterns' behavior in a systematic way because modeling languages do not provide the appropriate abstractions and because each pattern

  17. Eating patterns, dietary quality and obesity.

    Science.gov (United States)

    Nicklas, T A; Baranowski, T; Cullen, K W; Berenson, G

    2001-12-01

    Obesity among children has reached epidemic proportions. Today, an estimated one in four children in the United States is overweight. while 11% arc obese. Children who are overweight tend to remain so up to 20 years of age; in general, they have a 1.5- to twofold higher risk for becoming overweight as adults. The prevalence of overweight has increased approximately twofold in the 20-year period from 1974 to 1994, with the largest increases observed among 19- to 24-year-olds. The annual increases in weight and obesity that occurred from 1983 to 1994 were 50% higher than those from 1973 to 1982. Overweight youth are 2.4 times as likely to have a high serum total cholesterol level, and 43.5 times as likely to have three cardiovascular risk factors. Although the total energy intake of children has remained the same, and the macronutrient density of the diet has changed, the percentage of energy from fat has decreased, while that from carbohydrates and protein has increased. Children have been consuming lower amounts of fats/oils, vegetables/soups, breads/grains, mixed meats, desserts, candy, and eggs. and increasing amounts of fruits/fruit juices, beverages. poultry, snacks, condiments, and cheese. Changes in specific eating patterns may explain the increase in adiposity among children; e.g., increases have occurred in the number of meals eaten at restaurants, food availability, portion sizes, snacking and meal-skipping. Successful prevention and treatment of obesity in childhood could reduce the adult incidence of cardiovascular disease. Because substantial weight loss is difficult to maintain, the prevention of obesity by promoting healthier lifestyles should be one of our highest priorities in the new millennium.

  18. Validating EHR clinical models using ontology patterns.

    Science.gov (United States)

    Martínez-Costa, Catalina; Schulz, Stefan

    2017-12-01

    Clinical models are artefacts that specify how information is structured in electronic health records (EHRs). However, the makeup of clinical models is not guided by any formal constraint beyond a semantically vague information model. We address this gap by advocating ontology design patterns as a mechanism that makes the semantics of clinical models explicit. This paper demonstrates how ontology design patterns can validate existing clinical models using SHACL. Based on the Clinical Information Modelling Initiative (CIMI), we show how ontology patterns detect both modeling and terminology binding errors in CIMI models. SHACL, a W3C constraint language for the validation of RDF graphs, builds on the concept of "Shape", a description of data in terms of expected cardinalities, datatypes and other restrictions. SHACL, as opposed to OWL, subscribes to the Closed World Assumption (CWA) and is therefore more suitable for the validation of clinical models. We have demonstrated the feasibility of the approach by manually describing the correspondences between six CIMI clinical models represented in RDF and two SHACL ontology design patterns. Using a Java-based SHACL implementation, we found at least eleven modeling and binding errors within these CIMI models. This demonstrates the usefulness of ontology design patterns not only as a modeling tool but also as a tool for validation. Copyright © 2017 Elsevier Inc. All rights reserved.

  19. Evaluating Quality in Model-Driven Engineering

    OpenAIRE

    Mohagheghi, Parastoo; Aagedal, Jan

    2007-01-01

    In Model-Driven Engineering (MDE), models are the prime artifacts, and developing high-quality systems depends on developing high-quality models and performing transformations that preserve quality or even improve it. This paper presents quality goals in MDE and states that the quality of models is affected by the quality of modeling languages, tools, modeling processes, the knowledge and experience of modelers, and the quality assurance techniques applied. The paper further presents related ...

  20. Extraction and use of linguistic patterns for modelling medical guidelines

    NARCIS (Netherlands)

    Serban, Radu; ten Teije, Annette; van Harmelen, Frank; Marcos, Mar; Polo-Conde, Cristina

    Objective: The quality of knowledge updates in evidence-based medical guidelines can be improved and the effort spent for updating can be reduced if the knowledge underlying the guideline text is explicitly modelled using the so-called linguistic guideline patterns, mappings between a text fragment

  1. The Concept of Data Model Pattern Based on Fully Communication Oriented Information Modeling (FCO-IM

    Directory of Open Access Journals (Sweden)

    Fazat Nur Azizah

    2013-09-01

    Full Text Available Just as in many areas of software engineering, patterns have been used in  data modeling  to  create high quality  data  models.  We  provide  a  concept  of data  model  pattern  based  on  Fully  Communication  Oriented  Information Modeling  (FCO-IM,  a  fact  oriented  data  modeling  method.  A  data  model pattern is  defined  as  the relation  between  context, problem,  an d  solution.  This definition is adopted from the concept of pattern by Christopher Alexander. We define the concept of Information Grammar for Pattern (IG P in the solution part of  a  pattern,  which  works  as  a  template  to  create  a  data  model.  The  IG P  also shows how a pattern can relate to other patterns. The data model pattern concept is then used to describe 15 data model patterns, organized into 4 categories. A case study on geographical location is provided to show the use of the concept in a real case.

  2. Offshoring and Patterns of Quality Growth: Evidence from Danish Apparel

    DEFF Research Database (Denmark)

    Smeets, Valerie Anne Rolande; Traiberman, Sharon; Warzynski, Frederic Michel Patrick

    of quality tightens up and import competition appears to spur entry of higher quality firms and exit of lower quality producers. The reduction in trade costs leads to a massive increase in offshoring. The association of offshoring and quality depends on the quality of the sourcing country – while offshoring...... is generally associated with higher quality, offshoring to China is not. The reductions in trade costs also lead to changes in the distribution of prices and quality-adjusted prices. This has implications for policy as understanding the distribution of prices faced by heterogeneous consumers is key......Recently a small empirical literature has taken off attempting to analyze the role that quality plays in our understanding of trade. In particular, the recent work of Khandelwal (2010) has brought the insights of structural IO models of demand to bear into trade data. Our work builds on this new...

  3. Modelling biomechanics of bark patterning in grasstrees.

    Science.gov (United States)

    Dale, Holly; Runions, Adam; Hobill, David; Prusinkiewicz, Przemyslaw

    2014-09-01

    Bark patterns are a visually important characteristic of trees, typically attributed to fractures occurring during secondary growth of the trunk and branches. An understanding of bark pattern formation has been hampered by insufficient information regarding the biomechanical properties of bark and the corresponding difficulties in faithfully modelling bark fractures using continuum mechanics. This study focuses on the genus Xanthorrhoea (grasstrees), which have an unusual bark-like structure composed of distinct leaf bases connected by sticky resin. Due to its discrete character, this structure is well suited for computational studies. A dynamic computational model of grasstree development was created. The model captures both the phyllotactic pattern of leaf bases during primary growth and the changes in the trunk's width during secondary growth. A biomechanical representation based on a system of masses connected by springs is used for the surface of the trunk, permitting the emergence of fractures during secondary growth to be simulated. The resulting fracture patterns were analysed statistically and compared with images of real trees. The model reproduces key features of grasstree bark patterns, including their variability, spanning elongated and reticulate forms. The patterns produced by the model have the same statistical character as those seen in real trees. The model was able to support the general hypothesis that the patterns observed in the grasstree bark-like layer may be explained in terms of mechanical fractures driven by secondary growth. Although the generality of the results is limited by the unusual structure of grasstree bark, it supports the hypothesis that bark pattern formation is primarily a biomechanical phenomenon.

  4. River water quality model no. 1 (RWQM1): I. Modelling approach

    DEFF Research Database (Denmark)

    Shanahan, P.; Borchardt, D.; Henze, Mogens

    2001-01-01

    Successful river water quality modelling requires the specification of an appropriate model structure and process formulation. Both must be related to the compartment structure of running water ecosystems including their longitudinal, vertical, and lateral zonation patterns. Furthermore...

  5. WATER QUALITY MODELS: A REVIEW

    OpenAIRE

    Nair Sumita; Bhatia Sukhpreet Kaur

    2017-01-01

    Maintaining water quality and predicting the fate of water pollutants are one of the important tasks of present environmental problems. The best tool for predicting different pollution scenarios are the simulation of mathematical models which can provide a basis and technical support for environmental management.

  6. Model quality and safety studies

    DEFF Research Database (Denmark)

    Petersen, K.E.

    1997-01-01

    evaluation group (MEG) is a European initiative on evaluation of technical models used within the major industrial hazard area and is supported by the EC DGXII, Directorate-General for Science, Research and Development. Closely related to MEG is REDIPHEM, which is the acronym of a research project supported...... by the EC Environment Research Programme focusing on assessment of the quality of experimental data and models for dense gas dispersion created within the EC funded research programmes. Technical models are used in a number of areas of industrial hazards assessment. It is becoming more and more apparent...... of ensuring that model development is of a standard that is commensurate with the importance of model use. The aim of MEG is to improve the culture in which models are developed and used and so ensure that technical models used in all aspects of major hazard evaluation are up to date with technical...

  7. Learning Statistical Patterns in Relational Data Using Probabilistic Relational Models

    National Research Council Canada - National Science Library

    Koller, Daphne

    2005-01-01

    .... This effort focused on developing undirected probabilistic models for representing and learning graph patterns, learning patterns involving links between objects, learning discriminative models...

  8. Modelling of Patterns in Space and Time

    CERN Document Server

    Murray, James

    1984-01-01

    This volume contains a selection of papers presented at the work­ shop "Modelling of Patterns in Space and Time", organized by the 80nderforschungsbereich 123, "8tochastische Mathematische Modelle", in Heidelberg, July 4-8, 1983. The main aim of this workshop was to bring together physicists, chemists, biologists and mathematicians for an exchange of ideas and results in modelling patterns. Since the mathe­ matical problems arising depend only partially on the particular field of applications the interdisciplinary cooperation proved very useful. The workshop mainly treated phenomena showing spatial structures. The special areas covered were morphogenesis, growth in cell cultures, competition systems, structured populations, chemotaxis, chemical precipitation, space-time oscillations in chemical reactors, patterns in flames and fluids and mathematical methods. The discussions between experimentalists and theoreticians were especially interesting and effective. The editors hope that these proceedings reflect ...

  9. River water quality modelling: II

    DEFF Research Database (Denmark)

    Shanahan, P.; Henze, Mogens; Koncsos, L.

    1998-01-01

    The U.S. EPA QUAL2E model is currently the standard for river water quality modelling. While QUAL2E is adequate for the regulatory situation for which it was developed (the U.S. wasteload allocation process), there is a need for a more comprehensive framework for research and teaching. Moreover......, and to achieve robust model calibration. Mass balance problems arise from failure to account for mass in the sediment as well as in the water column and due to the fundamental imprecision of BOD as a state variable. (C) 1998 IAWQ Published by Elsevier Science Ltd. All rights reserved....

  10. Healthcare quality maturity assessment model based on quality drivers.

    Science.gov (United States)

    Ramadan, Nadia; Arafeh, Mazen

    2016-04-18

    Purpose - Healthcare providers differ in their readiness and maturity levels regarding quality and quality management systems applications. The purpose of this paper is to serve as a useful quantitative quality maturity-level assessment tool for healthcare organizations. Design/methodology/approach - The model proposes five quality maturity levels (chaotic, primitive, structured, mature and proficient) based on six quality drivers: top management, people, operations, culture, quality focus and accreditation. Findings - Healthcare managers can apply the model to identify the status quo, quality shortcomings and evaluating ongoing progress. Practical implications - The model has been incorporated in an interactive Excel worksheet that visually displays the quality maturity-level risk meter. The tool has been applied successfully to local hospitals. Originality/value - The proposed six quality driver scales appear to measure healthcare provider maturity levels on a single quality meter.

  11. High Quality Test Pattern Generation and Boolean Satisfiability

    CERN Document Server

    Eggersglüß, Stephan

    2012-01-01

    This book provides an overview of automatic test pattern generation (ATPG) and introduces novel techniques to complement classical ATPG, based on Boolean Satisfiability (SAT).  A fast and highly fault efficient SAT-based ATPG framework is presented which is also able to generate high-quality delay tests such as robust path delay tests, as well as tests with long propagation paths to detect small delay defects. The aim of the techniques and methodologies presented in this book is to improve SAT-based ATPG, in order to make it applicable in industrial practice. Readers will learn to improve the performance and robustness of the overall test generation process, so that the ATPG algorithm reliably will generate test patterns for most targeted faults in acceptable run time to meet the high fault coverage demands of industry. The techniques and improvements presented in this book provide the following advantages: Provides a comprehensive introduction to test generation and Boolean Satisfiability (SAT); Describes a...

  12. Higher Education Quality Assessment Model: Towards Achieving Educational Quality Standard

    Science.gov (United States)

    Noaman, Amin Y.; Ragab, Abdul Hamid M.; Madbouly, Ayman I.; Khedra, Ahmed M.; Fayoumi, Ayman G.

    2017-01-01

    This paper presents a developed higher education quality assessment model (HEQAM) that can be applied for enhancement of university services. This is because there is no universal unified quality standard model that can be used to assess the quality criteria of higher education institutes. The analytical hierarchy process is used to identify the…

  13. Water spectral pattern as holistic marker for water quality monitoring.

    Science.gov (United States)

    Kovacs, Zoltan; Bázár, György; Oshima, Mitsue; Shigeoka, Shogo; Tanaka, Mariko; Furukawa, Akane; Nagai, Airi; Osawa, Manami; Itakura, Yukari; Tsenkova, Roumiana

    2016-01-15

    Online water quality monitoring technologies have been improving continuously. At the moment, water quality is defined by the respective range of few chosen parameters. However, this strategy requires sampling and it cannot provide evaluation of the entire water molecular system including various solutes. As it is nearly impossible to monitor every single molecule dissolved in water, the objective of our research is to introduce a complimentary approach, a new concept for water screening by observing the water molecular system changes using aquaphotomics and Quality Control Chart method. This approach can continuously provide quick information about any qualitative change of water molecular arrangement without taking into account the reason of the alteration of quality. Different species and concentrations of solutes in aqueous systems structure the water solvent differently. Aquaphotomics investigates not the characteristic absorption bands of the solute in question, but the solution absorption at vibrational bands of water's covalent and hydrogen bonds that have been altered by the solute. The applicability of the proposed concept is evaluated by monitoring the water structural changes in different aqueous solutions such as acid, sugar, and salt solutions at millimolar concentration level and in ground water. The results show the potential of the proposed approach to use water spectral pattern monitoring as bio marker of water quality. Our successful results open a new venue in water quality monitoring by offering a quick and cost effective method for continuous screening of water molecular arrangement. Instead of the regular analysis of individual physical or chemical parameters, with our method - as a complementary tool - the structural changes of water molecular system used as a mirror reflecting even small disturbances in water can indicate the necessity of further detailed analysis by conventional methods. Copyright © 2015 Elsevier B.V. All rights reserved.

  14. Patterns of flavor signals in supersymmetric models

    Energy Technology Data Exchange (ETDEWEB)

    Goto, T. [KEK National High Energy Physics, Tsukuba (Japan)]|[Kyoto Univ. (Japan). YITP; Okada, Y. [KEK National High Energy Physics, Tsukuba (Japan)]|[Graduate Univ. for Advanced Studies, Tsukuba (Japan). Dept. of Particle and Nucelar Physics; Shindou, T. [Deutsches Elektronen-Synchrotron (DESY), Hamburg (Germany)]|[International School for Advanced Studies, Trieste (Italy); Tanaka, M. [Osaka Univ., Toyonaka (Japan). Dept. of Physics

    2007-11-15

    Quark and lepton flavor signals are studied in four supersymmetric models, namely the minimal supergravity model, the minimal supersymmetric standard model with right-handed neutrinos, SU(5) supersymmetric grand unified theory with right-handed neutrinos and the minimal supersymmetric standard model with U(2) flavor symmetry. We calculate b{yields}s(d) transition observables in B{sub d} and B{sub s} decays, taking the constraint from the B{sub s}- anti B{sub s} mixing recently observed at Tevatron into account. We also calculate lepton flavor violating processes {mu} {yields} e{gamma}, {tau} {yields} {mu}{gamma} and {tau} {yields} e{gamma} for the models with right-handed neutrinos. We investigate possibilities to distinguish the flavor structure of the supersymmetry breaking sector with use of patterns of various flavor signals which are expected to be measured in experiments such as MEG, LHCb and a future Super B Factory. (orig.)

  15. Patterns of flavor signals in supersymmetric models

    International Nuclear Information System (INIS)

    Goto, T.; Tanaka, M.

    2007-11-01

    Quark and lepton flavor signals are studied in four supersymmetric models, namely the minimal supergravity model, the minimal supersymmetric standard model with right-handed neutrinos, SU(5) supersymmetric grand unified theory with right-handed neutrinos and the minimal supersymmetric standard model with U(2) flavor symmetry. We calculate b→s(d) transition observables in B d and B s decays, taking the constraint from the B s - anti B s mixing recently observed at Tevatron into account. We also calculate lepton flavor violating processes μ → eγ, τ → μγ and τ → eγ for the models with right-handed neutrinos. We investigate possibilities to distinguish the flavor structure of the supersymmetry breaking sector with use of patterns of various flavor signals which are expected to be measured in experiments such as MEG, LHCb and a future Super B Factory. (orig.)

  16. Contextual snowflake modelling for pattern warehouse logical design

    Indian Academy of Sciences (India)

    Pattern warehouse provides the infrastructure for knowledge representation and mining by allowing the patterns to be stored permanently. The goal of this paper is to discuss the pattern warehouse design and related quality issues. In the present work, we focus on conceptual and logical design of pattern warehouse, ...

  17. Contextual snowflake modelling for pattern warehouse logical design

    Indian Academy of Sciences (India)

    2016-08-26

    Aug 26, 2016 ... Pattern warehouse provides the infrastructure for knowledge representation and mining by allowing the patterns to be stored permanently. The goal of this paper is to discuss the pattern warehouse design and related quality issues. In the present work, we focus on conceptual and logical design of pattern ...

  18. Developing a TQM quality management method model

    OpenAIRE

    Zhang, Zhihai

    1997-01-01

    From an extensive review of total quality management literature, the external and internal environment affecting an organization's quality performance and the eleven primary elements of TQM are identified. Based on the primary TQM elements, a TQM quality management method model is developed. This model describes the primary quality management methods which may be used to assess an organization's present strengths and weaknesses with regard to its use of quality management methods. This model ...

  19. Scale effects on spatially varying relationships between urban landscape patterns and water quality.

    Science.gov (United States)

    Sun, Yanwei; Guo, Qinghai; Liu, Jian; Wang, Run

    2014-08-01

    Scientific interpretation of the relationships between urban landscape patterns and water quality is important for sustainable urban planning and watershed environmental protection. This study applied the ordinary least squares regression model and the geographically weighted regression model to examine the spatially varying relationships between 12 explanatory variables (including three topographical factors, four land use parameters, and five landscape metrics) and 15 water quality indicators in watersheds of Yundang Lake, Maluan Bay, and Xinglin Bay with varying levels of urbanization in Xiamen City, China. A local and global investigation was carried out at the watershed-level, with 50 and 200 m riparian buffer scales. This study found that topographical features and landscape metrics are the dominant factors of water quality, while land uses are too weak to be considered as a strong influential factor on water quality. Such statistical results may be related with the characteristics of land use compositions in our study area. Water quality variations in the 50 m buffer were dominated by topographical variables. The impact of landscape metrics on water quality gradually strengthen with expanding buffer zones. The strongest relationships are obtained in entire watersheds, rather than in 50 and 200 m buffer zones. Spatially varying relationships and effective buffer zones were verified in this study. Spatially varying relationships between explanatory variables and water quality parameters are more diversified and complex in less urbanized areas than in highly urbanized areas. This study hypothesizes that all these varying relationships may be attributed to the heterogeneity of landscape patterns in different urban regions. Adjustment of landscape patterns in an entire watershed should be the key measure to successfully improving urban lake water quality.

  20. WATGIS: A GIS-Based Lumped Parameter Water Quality Model

    Science.gov (United States)

    Glenn P. Fernandez; George M. Chescheir; R. Wayne Skaggs; Devendra M. Amatya

    2002-01-01

    A Geographic Information System (GIS)­based, lumped parameter water quality model was developed to estimate the spatial and temporal nitrogen­loading patterns for lower coastal plain watersheds in eastern North Carolina. The model uses a spatially distributed delivery ratio (DR) parameter to account for nitrogen retention or loss along a drainage network. Delivery...

  1. Luminance and image quality analysis of an organic electroluminescent panel with a patterned microlens array attachment

    International Nuclear Information System (INIS)

    Lin, Hoang Yan; Chen, Kuan-Yu; Ho, Yu-Hsuan; Fang, Jheng-Hao; Hsu, Sheng-Chih; Lee, Jiun-Haw; Lin, Jia-Rong; Wei, Mao-Kuo

    2010-01-01

    Luminance and image quality observed from the normal direction of a commercial 2.0 inch panel based on organic electroluminescence (OEL) technology attached to regular and patterned microlens array films (MAFs) were studied and analyzed. When applying the regularly arranged MAF on the panel, a luminance enhancement of 23% was observed, accompanied by a reduction of the image quality index as low as 74%. By removing the microlenses on the emitting areas, the patterned MAF enhances the luminance efficiency of the OEL by 52% keeping the image quality index of the display as high as 94%, due to the effective light extraction in the glass substrate being less than the critical angle. 3D simulation based on a ray-tracing model was also established to investigate the spatial distribution of light rays radiated from an OEL pixel with different microstructures which showed consistent results with the experimental results

  2. Egg speckling patterns do not advertise offspring quality or influence male provisioning in great tits.

    Directory of Open Access Journals (Sweden)

    Mary Caswell Stoddard

    Full Text Available Many passerine birds lay white eggs with reddish brown speckles produced by protoporphyrin pigment. However, the function of these spots is contested. Recently, the sexually selected eggshell coloration (SSEC hypothesis proposed that eggshell color is a sexually selected signal through which a female advertises her quality (and hence the potential quality of her future young to her male partner, thereby encouraging him to contribute more to breeding attempts. We performed a test of the SSEC hypothesis in a common passerine, the great tit Parus major. We used a double cross-fostering design to determine whether males change their provisioning behavior based on eggshell patterns they observe at the nest. We also tested the assumption that egg patterning reflects female and/or offspring quality. Because birds differ from humans in their color and pattern perception, we used digital photography and models of bird vision to quantify egg patterns objectively. Neither male provisioning nor chick growth was related to the pattern of eggs males observed during incubation. Although heavy females laid paler, less speckled eggs, these eggs did not produce chicks that grew faster. Therefore, we conclude that the SSEC hypothesis is an unlikely explanation for the evolution of egg speckling in great tits.

  3. Review of Watershed Water Quality Models

    National Research Council Canada - National Science Library

    Deliman, Patrick

    1999-01-01

    .... Several available watershed water quality models were reviewed and rated with regard to their potential in being utilized as the building block for the development of a Corps of Engineers watershed water quality model...

  4. A catalog of architectural primitives for modeling architectural patterns

    NARCIS (Netherlands)

    Zdun, Uwe; Avgeriou, Paris

    Architectural patterns are a fundamental aspect of the architecting process and subsequently the architectural documentation. Unfortunately, there is only poor support for modeling architectural patterns for two reasons. First, patterns describe recurring design solutions and hence do not directly

  5. A Modeling Pattern for Layered System Interfaces

    Science.gov (United States)

    Shames, Peter M.; Sarrel, Marc A.

    2015-01-01

    Communications between systems is often initially represented at a single, high level of abstraction, a link between components. During design evolution it is usually necessary to elaborate the interface model, defining it from several different, related viewpoints and levels of abstraction. This paper presents a pattern to model such multi-layered interface architectures simply and efficiently, in a way that supports expression of technical complexity, interfaces and behavior, and analysis of complexity. Each viewpoint and layer of abstraction has its own properties and behaviors. System elements are logically connected both horizontally along the communication path, and vertically across the different layers of protocols. The performance of upper layers depends on the performance of lower layers, yet the implementation of lower layers is intentionally opaque to upper layers. Upper layers are hidden from lower layers except as sources and sinks of data. The system elements may not be linked directly at each horizontal layer but only via a communication path, and end-to-end communications may depend on intermediate components that are hidden from them, but may need to be shown in certain views and analyzed for certain purposes. This architectural model pattern uses methods described in ISO 42010, Recommended Practice for Architectural Description of Software-intensive Systems and CCSDS 311.0-M-1, Reference Architecture for Space Data Systems (RASDS). A set of useful viewpoints and views are presented, along with the associated modeling representations, stakeholders and concerns. These viewpoints, views, and concerns then inform the modeling pattern. This pattern permits viewing the system from several different perspectives and at different layers of abstraction. An external viewpoint treats the systems of interest as black boxes and focuses on the applications view, another view exposes the details of the connections and other components between the black boxes

  6. Air Quality Pattern Assessment in Malaysia Using Multivariate Techniques

    International Nuclear Information System (INIS)

    Hamza Ahmad Isiyaka; Azman Azid

    2015-01-01

    This study aims to investigate the spatial characteristics in the pattern of air quality monitoring sites, identify the most discriminating parameters contributing to air pollution, and predict the level of air pollution index (API) in Malaysia using multivariate techniques. Five parameters observed for five years (2000-2004) were used. Hierarchical agglomerative cluster analysis classified the five air quality monitoring sites into two independent groups based on the characteristics of activities in the monitoring stations. Discriminate analysis for standard, backward stepwise and forward stepwise mode gave a correct assignation of more than 87 % in the confusion matrix. This result indicates that only three parameters (PM 10 , SO 2 and NO 2 ) with a p<0.0001 discriminate best in polluting the air. The major possible sources of air pollution were identified using principal component analysis that account for more than 58 % and 60 % in the total variance. Based on the findings, anthropogenic activities (vehicular emission, industrial activities, construction sites, bush burning) have a strong influence in the source of air pollution. Furthermore, artificial neural network (ANN) was used to predict the level of air pollution index at R 2 = 0.8493 and RMSE = 5.9184. This indicates that ANN can predict more than 84 % of the API. (author)

  7. Existing Model Metrics and Relations to Model Quality

    OpenAIRE

    Mohagheghi, Parastoo; Dehlen, Vegard

    2009-01-01

    This paper presents quality goals for models and provides a state-of-the-art analysis regarding model metrics. While model-based software development often requires assessing the quality of models at different abstraction and precision levels and developed for multiple purposes, existing work on model metrics do not reflect this need. Model size metrics are descriptive and may be used for comparing models but their relation to model quality is not welldefined. Code metrics are proposed to be ...

  8. Attention modeling for video quality assessment

    DEFF Research Database (Denmark)

    You, Junyong; Korhonen, Jari; Perkis, Andrew

    2010-01-01

    averaged spatiotemporal pooling. The local quality is derived from visual attention modeling and quality variations over frames. Saliency, motion, and contrast information are taken into account in modeling visual attention, which is then integrated into IQMs to calculate the local quality of a video frame...

  9. Community Multiscale Air Quality Modeling System (CMAQ)

    Science.gov (United States)

    CMAQ is a computational tool used for air quality management. It models air pollutants including ozone, particulate matter and other air toxics to help determine optimum air quality management scenarios.

  10. The PQUAL Open System Quality Model

    Directory of Open Access Journals (Sweden)

    Cristian IONITA

    2012-01-01

    Full Text Available Quality assessment of open business enterprise systems is very important because those plat-forms play a central role in the organizations that implement them. The current paper proposes a new easily applicable software quality model called PQUAL that evaluates the quality of such systems. The quality characteristics are identified and analyzed using the ISO/IEC 9126 international standard as a starting point. The paper develops metrics to measure the quality level for the characteristics. The PQUAL model is applied to compare the quality of the DocuMentor and YAWL platforms.

  11. Modeling interconnect corners under double patterning misalignment

    Science.gov (United States)

    Hyun, Daijoon; Shin, Youngsoo

    2016-03-01

    Publisher's Note: This paper, originally published on March 16th, was replaced with a corrected/revised version on March 28th. If you downloaded the original PDF but are unable to access the revision, please contact SPIE Digital Library Customer Service for assistance. Interconnect corners should accurately reflect the effect of misalingment in LELE double patterning process. Misalignment is usually considered separately from interconnect structure variations; this incurs too much pessimism and fails to reflect a large increase in total capacitance for asymmetric interconnect structure. We model interconnect corners by taking account of misalignment in conjunction with interconnect structure variations; we also characterize misalignment effect more accurately by handling metal pitch at both sides of a target metal independently. Identifying metal space at both sides of a target metal.

  12. Nutritional quality of dietary patterns of children: are there differences inside and outside school?

    Directory of Open Access Journals (Sweden)

    Diva Aliete dos Santos Vieira

    2017-01-01

    Conclusion: There are differences in the nutritional quality of dietary patterns inside and outside school, and heterogeneity in adherence to these patterns were observed across regions and socioeconomic classes.

  13. Participatory Patterns in an International Air Quality Monitoring Initiative.

    Science.gov (United States)

    Sîrbu, Alina; Becker, Martin; Caminiti, Saverio; De Baets, Bernard; Elen, Bart; Francis, Louise; Gravino, Pietro; Hotho, Andreas; Ingarra, Stefano; Loreto, Vittorio; Molino, Andrea; Mueller, Juergen; Peters, Jan; Ricchiuti, Ferdinando; Saracino, Fabio; Servedio, Vito D P; Stumme, Gerd; Theunis, Jan; Tria, Francesca; Van den Bossche, Joris

    2015-01-01

    The issue of sustainability is at the top of the political and societal agenda, being considered of extreme importance and urgency. Human individual action impacts the environment both locally (e.g., local air/water quality, noise disturbance) and globally (e.g., climate change, resource use). Urban environments represent a crucial example, with an increasing realization that the most effective way of producing a change is involving the citizens themselves in monitoring campaigns (a citizen science bottom-up approach). This is possible by developing novel technologies and IT infrastructures enabling large citizen participation. Here, in the wider framework of one of the first such projects, we show results from an international competition where citizens were involved in mobile air pollution monitoring using low cost sensing devices, combined with a web-based game to monitor perceived levels of pollution. Measures of shift in perceptions over the course of the campaign are provided, together with insights into participatory patterns emerging from this study. Interesting effects related to inertia and to direct involvement in measurement activities rather than indirect information exposure are also highlighted, indicating that direct involvement can enhance learning and environmental awareness. In the future, this could result in better adoption of policies towards decreasing pollution.

  14. Automatic Classification of Station Quality by Image Based Pattern Recognition of Ppsd Plots

    Science.gov (United States)

    Weber, B.; Herrnkind, S.

    2017-12-01

    The number of seismic stations is growing and it became common practice to share station waveform data in real-time with the main data centers as IRIS, GEOFON, ORFEUS and RESIF. This made analyzing station performance of increasing importance for automatic real-time processing and station selection. The value of a station depends on different factors as quality and quantity of the data, location of the site and general station density in the surrounding area and finally the type of application it can be used for. The approach described by McNamara and Boaz (2006) became standard in the last decade. It incorporates a probability density function (PDF) to display the distribution of seismic power spectral density (PSD). The low noise model (LNM) and high noise model (HNM) introduced by Peterson (1993) are also displayed in the PPSD plots introduced by McNamara and Boaz allowing an estimation of the station quality. Here we describe how we established an automatic station quality classification module using image based pattern recognition on PPSD plots. The plots were split into 4 bands: short-period characteristics (0.1-0.8 s), body wave characteristics (0.8-5 s), microseismic characteristics (5-12 s) and long-period characteristics (12-100 s). The module sqeval connects to a SeedLink server, checks available stations, requests PPSD plots through the Mustang service from IRIS or PQLX/SQLX or from GIS (gempa Image Server), a module to generate different kind of images as trace plots, map plots, helicorder plots or PPSD plots. It compares the image based quality patterns for the different period bands with the retrieved PPSD plot. The quality of a station is divided into 5 classes for each of the 4 bands. Classes A, B, C, D define regular quality between LNM and HNM while the fifth class represents out of order stations with gain problems, missing data etc. Over all period bands about 100 different patterns are required to classify most of the stations available on the

  15. Developing a TQM quality management method model

    NARCIS (Netherlands)

    Zhang, Zhihai

    1997-01-01

    From an extensive review of total quality management literature, the external and internal environment affecting an organization's quality performance and the eleven primary elements of TQM are identified. Based on the primary TQM elements, a TQM quality management method model is developed. This

  16. A SYSTEMATIC STUDY OF SOFTWARE QUALITY MODELS

    OpenAIRE

    Dr.Vilas. M. Thakare; Ashwin B. Tomar

    2011-01-01

    This paper aims to provide a basis for software quality model research, through a systematic study ofpapers. It identifies nearly seventy software quality research papers from journals and classifies paper asper research topic, estimation approach, study context and data set. The paper results combined withother knowledge provides support for recommendations in future software quality model research, toincrease the area of search for relevant studies, carefully select the papers within a set ...

  17. Hordein polypeptide patterns in relation to malting quality in Brazilian barley varieties

    Directory of Open Access Journals (Sweden)

    Echart-Almeida Cinara

    2001-01-01

    Full Text Available Since there is evidence that malting quality is related to the storage protein (hordein fraction, in the present work the hordein polypeptide patterns from 13 barley (Hordeum vulgare L. varieties of different malting quality were analysed in order to explore the feasibility of using hordein electrophoresis to assist in the selection of malting barleys. The formation of clusters separating the varieties with higher malting quality from the others with lower quality suggests that there is a relationship between the general hordein polypeptide pattern and malting quality in the varieties analysed. By the Sperman's correlation test three hordein bands correlated negatively with malting quality in the germplasm studied.

  18. A methodology to assess the impact of design patterns on software quality

    NARCIS (Netherlands)

    Ampatzoglou, Apostolos; Frantzeskou, Georgia; Stamelos, Ioannis

    Context Software quality is considered to be one of the most important concerns of software production teams. Additionally, design patterns are documented solutions to common design problems that are expected to enhance software quality. Until now, the results on the effect of design patterns on

  19. Assessment on air quality pattern: a case study in Putrajaya, Malaysia

    African Journals Online (AJOL)

    Nowadays, air quality problem has become a major issue in Malaysia for the past two decades, This study aims to determine the pattern of the air quality status, investigate the significant pollutant, relationship between air pollutants and API and evaluate the pattern of air pollution. Data from Putrajaya monitoring station ...

  20. Quality metrics for detailed clinical models.

    Science.gov (United States)

    Ahn, SunJu; Huff, Stanley M; Kim, Yoon; Kalra, Dipak

    2013-05-01

    To develop quality metrics for detailed clinical models (DCMs) and test their validity. Based on existing quality criteria which did not include formal metrics, we developed quality metrics by applying the ISO/IEC 9126 software quality evaluation model. The face and content validity of the initial quality metrics were assessed by 9 international experts. Content validity was defined as agreement by over 70% of the panelists. For eliciting opinions and achieving consensus of the panelists, a two round Delphi survey was conducted. Valid quality metrics were considered reliable if agreement between two evaluators' assessments of two example DCMs was over 0.60 in terms of the kappa coefficient. After reliability and validity were tested, the final DCM quality metrics were selected. According to the results of the reliability test, the degree of agreement was high (a kappa coefficient of 0.73). Based on the results of the reliability test, 8 quality evaluation domains and 29 quality metrics were finalized as DCM quality metrics. Quality metrics were validated by a panel of international DCM experts. Therefore, we expect that the metrics, which constitute essential qualitative and quantitative quality requirements for DCMs, can be used to support rational decision-making by DCM developers and clinical users. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

  1. Is impaired sleep quality responsible for a nondipping pattern even in normotensive individuals?

    Science.gov (United States)

    Ulu, Sena M; Ulu, Sahin; Ulasli, Sevinc S; Yaman, Gökhan; Ahsen, Ahmet; Ozkececi, Gulay; Yuksel, Seref

    2013-08-01

    We aimed to evaluate the relationship between sleep quality and a dipping-nondipping pattern in normotensive individuals. Our study was carried out on 100 normotensive individuals; 50 of these individuals had a dipping pattern and 50 had a nondipping pattern, and were chosen from among patients in whom ambulatory blood pressure monitoring was applied before for any reason. All study participants underwent the Pittsburgh Sleep Quality Index survey to evaluate sleep disturbances. The overall scores and all the components of the Pittsburgh Sleep Quality Index scores were significantly higher in the nondipper normotensive group compared with the dipper normotensive group. In conclusion, the nondipping blood pressure pattern appears to be associated with poor sleep quality not only in hypertensive patients but also in normotensive healthy individuals. When evaluating patients with poor sleep quality, the possibility that they may have a nondipping pattern even if they are normotensive should be kept in mind.

  2. Qualitative Analysis of the Impact of SOA Patterns on Quality Attributes

    NARCIS (Netherlands)

    Galster, Matthias; Avgeriou, Paris; Tang, A; Muccini, H

    2012-01-01

    Software architecture patterns are proven and reusable solutions to common architecture design problems. One characteristic of architecture patterns is that they affect quality attributes (e.g., performance, reliability). Over the past years, architecture patterns for service-based systems have been

  3. Low-calorie- and calorie-sweetened beverages: diet quality, food intake, and purchase patterns of US household consumers123

    Science.gov (United States)

    Piernas, Carmen; Mendez, Michelle A; Ng, Shu Wen; Gordon-Larsen, Penny; Popkin, Barry M

    2014-01-01

    Background: Few studies have investigated the diet quality of consumers of low-calorie-sweetened (LCS) and calorie-sweetened (CS) beverages. Objective: The objective was to examine the dietary quality and adherence to dietary purchasing and consumption patterns of beverage consumers from 2000 to 2010. Design: We analyzed purchases for 140,352 households from the Homescan longitudinal data set 2000–2010 and dietary intake from NHANES 2003–2010 (n = 34,393). We defined mutually exclusive consumer profiles as main exposures: LCS beverages, CS beverages, LCS & CS beverages, and non/low consumers. As main outcomes, we explored dietary quality by using total energy and macronutrients (kcal/d). We performed factor analyses and applied factor scores to derive dietary patterns as secondary outcomes. Using multivariable linear (NHANES) and random-effects (Homescan) models, we investigated the associations between beverage profiles and dietary patterns. Results: We found “prudent” and “breakfast” patterns in Homescan and NHANES, “ready-to-eat meals/fast-food” and “prudent/snacks/LCS desserts” patterns in Homescan, and “protein/potatoes” and “CS desserts/sweeteners” patterns in NHANES. In both data sets, compared with non/low consumers, both CS- and LCS-beverage consumers had a significantly higher total energy from foods, higher energy from total and SFAs, and lower probability of adherence to prudent and breakfast patterns. In Homescan, LCS-beverage consumers had a higher probability of adherence to 2 distinct patterns: a prudent/snacks/LCS dessert pattern and a ready-to-eat meals/fast-food purchasing pattern. Conclusions: Our findings suggest that overall dietary quality is lower in LCS-, CS-, and LCS & CS–beverage consumers relative to non/low consumers. Our study highlights the importance of targeting foods that are linked with sweetened beverages (either LCS or CS) in intervention and policy efforts that aim to improve nutrition in the

  4. Low-calorie- and calorie-sweetened beverages: diet quality, food intake, and purchase patterns of US household consumers.

    Science.gov (United States)

    Piernas, Carmen; Mendez, Michelle A; Ng, Shu Wen; Gordon-Larsen, Penny; Popkin, Barry M

    2014-03-01

    Few studies have investigated the diet quality of consumers of low-calorie-sweetened (LCS) and calorie-sweetened (CS) beverages. The objective was to examine the dietary quality and adherence to dietary purchasing and consumption patterns of beverage consumers from 2000 to 2010. We analyzed purchases for 140,352 households from the Homescan longitudinal data set 2000-2010 and dietary intake from NHANES 2003-2010 (n = 34,393). We defined mutually exclusive consumer profiles as main exposures: LCS beverages, CS beverages, LCS & CS beverages, and non/low consumers. As main outcomes, we explored dietary quality by using total energy and macronutrients (kcal/d). We performed factor analyses and applied factor scores to derive dietary patterns as secondary outcomes. Using multivariable linear (NHANES) and random-effects (Homescan) models, we investigated the associations between beverage profiles and dietary patterns. We found "prudent" and "breakfast" patterns in Homescan and NHANES, "ready-to-eat meals/fast-food" and "prudent/snacks/LCS desserts" patterns in Homescan, and "protein/potatoes" and "CS desserts/sweeteners" patterns in NHANES. In both data sets, compared with non/low consumers, both CS- and LCS-beverage consumers had a significantly higher total energy from foods, higher energy from total and SFAs, and lower probability of adherence to prudent and breakfast patterns. In Homescan, LCS-beverage consumers had a higher probability of adherence to 2 distinct patterns: a prudent/snacks/LCS dessert pattern and a ready-to-eat meals/fast-food purchasing pattern. Our findings suggest that overall dietary quality is lower in LCS-, CS-, and LCS & CS-beverage consumers relative to non/low consumers. Our study highlights the importance of targeting foods that are linked with sweetened beverages (either LCS or CS) in intervention and policy efforts that aim to improve nutrition in the United States.

  5. DIETARY PATTERNS AND DIET QUALITY AMONG DIVERSE OLDER ADULTS: THE UNIVERSITY OF ALABAMA AT BIRMINGHAM STUDY OF AGING

    Science.gov (United States)

    HSIAO, P.Y.; MITCHELL, D.C.; COFFMAN, D.L.; ALLMAN, R.M.; LOCHER, J.L.; SAWYER, P.; JENSEN, G.L.; HARTMAN, T.J.

    2013-01-01

    Objectives To characterize dietary patterns among a diverse sample of older adults (≥ 65 years). Design: Cross-sectional. Setting: Five counties in west central Alabama. Participants Community-dwelling Medicare beneficiaries (N=416; 76.8 ± 5.2 years, 56% female, 39% African American) in the University of Alabama at Birmingham (UAB) Study of Aging. Measurements Dietary data collected via three, unannounced 24-hour dietary recalls was used to identify dietary patterns. Foods were aggregated into 13 groups. Finite mixture modeling (FMM) was used to classify individuals into three dietary patterns. Differences across dietary patterns for nutrient intakes, sociodemographic, and anthropometric measurements were examined using chi-square and general linear models. Results Three dietary patterns were derived. A “More healthful” dietary pattern, with relatively higher intakes of fruit, vegetables, whole grains, eggs, nuts, legumes and dairy, was associated with lower energy density, higher quality diets as determined by Healthy Eating Index (HEI)-2005 scores and higher intakes of fiber, folate, vitamins C and B6, calcium, iron, magnesium, and zinc. The “Western-like” pattern was defined by an intake of starchy vegetables, refined grains, meats, fried poultry and fish, oils and fats and was associated with lower HEI-2005 scores. The “Low produce, high sweets” pattern was characterized by high saturated fat, and low dietary fiber and vitamin C intakes. The strongest predictors of better diet quality were female gender and non-Hispanic white race. Conclusion The dietary patterns identified may provide a useful basis on which to base dietary interventions targeted at older adults. Examination of nutrient intakes regardless of the dietary pattern suggests that older adults are not meeting nutrient recommendations and should continue to be encouraged to choose high quality diets. PMID:23299373

  6. Air Quality Dispersion Modeling - Alternative Models

    Science.gov (United States)

    Models, not listed in Appendix W, that can be used in regulatory applications with case-by-case justification to the Reviewing Authority as noted in Section 3.2, Use of Alternative Models, in Appendix W.

  7. Hopfield's Model of Patterns Recognition and Laws of Artistic Perception

    Science.gov (United States)

    Yevin, Igor; Koblyakov, Alexander

    The model of patterns recognition or attractor network model of associative memory, offered by J.Hopfield 1982, is the most known model in theoretical neuroscience. This paper aims to show, that such well-known laws of art perception as the Wundt curve, perception of visual ambiguity in art, and also the model perception of musical tonalities are nothing else than special cases of the Hopfield’s model of patterns recognition.

  8. Standing crop dry matter accumulation and quality patterns of ...

    African Journals Online (AJOL)

    Nine-week production curves and quality values of eight subtropical pasture species were studied under supplemental spray irrigation to characterize their productive capacity, periodicity and quality.All species exhibited a slow dry matter regrowth rate for two to three weeks after defoliation to 7,5 or 10 cm height. Thereafter ...

  9. A pattern framework for software quality assessment and tradeoff analysis

    NARCIS (Netherlands)

    Folmer, Eelke; Boscht, Jan

    The earliest design decisions often have a significant impact on software quality and are the most costly to revoke. One of the challenges in architecture design is to reduce the frequency of retrofit problems in software designs; not being able to improve the quality of a system cost effectively, a

  10. An Approach for Modeling and Formalizing SOA Design Patterns

    OpenAIRE

    Tounsi , Imen; Hadj Kacem , Mohamed; Hadj Kacem , Ahmed; Drira , Khalil

    2013-01-01

    11 pages; International audience; Although design patterns has become increasingly popular, most of them are presented in an informal way, which can give rise to ambiguity and may lead to their incorrect usage. Patterns proposed by the SOA design pattern community are described with informal visual notations. Modeling SOA design patterns with a standard formal notation contributes to avoid misunderstanding by software architects and helps endowing design methods with refinement approaches for...

  11. Private healthcare quality: applying a SERVQUAL model.

    Science.gov (United States)

    Butt, Mohsin Muhammad; de Run, Ernest Cyril

    2010-01-01

    This paper seeks to develop and test the SERVQUAL model scale for measuring Malaysian private health service quality. The study consists of 340 randomly selected participants visiting a private healthcare facility during a three-month data collection period. Data were analyzed using means, correlations, principal component and confirmatory factor analysis to establish the modified SERVQUAL scale's reliability, underlying dimensionality and convergent, discriminant validity. Results indicate a moderate negative quality gap for overall Malaysian private healthcare service quality. Results also indicate a moderate negative quality gap on each service quality scale dimension. However, scale development analysis yielded excellent results, which can be used in wider healthcare policy and practice. Respondents were skewed towards a younger population, causing concern that the results might not represent all Malaysian age groups. The study's major contribution is that it offers a way to assess private healthcare service quality. Second, it successfully develops a scale that can be used to measure health service quality in Malaysian contexts.

  12. A Path Model of Psychosocial Factors Influencing Quality, Quality ...

    African Journals Online (AJOL)

    This study adopted the survey research design using an ex-post facto type to investigate path modeling of psychosocial factors influencing quality marital relationship among married individuals in Southwest Nigeria. The target population ... Three research questions were answered using path analysis. The result showed ...

  13. Spatio-temporal patterns in simple models of marine systems

    Science.gov (United States)

    Feudel, U.; Baurmann, M.; Gross, T.

    2009-04-01

    Spatio-temporal patterns in marine systems are a result of the interaction of population dynamics with physical transport processes. These physical transport processes can be either diffusion processes in marine sediments or in the water column. We study the dynamics of one population of bacteria and its nutrient in in a simplified model of a marine sediments, taking into account that the considered bacteria possess an active as well as an inactive state, where activation is processed by signal molecules. Furthermore the nutrients are transported actively by bioirrigation and passively by diffusion. It is shown that under certain conditions Turing patterns can occur which yield heterogeneous spatial patterns of the species. The influence of bioirrigation on Turing patterns leads to the emergence of ''hot spots``, i.e. localized regions of enhanced bacterial activity. All obtained patterns fit quite well to observed patterns in laboratory experiments. Spatio-temporal patterns appear in a predator-prey model, used to describe plankton dynamics. These patterns appear due to the simultaneous emergence of Turing patterns and oscillations in the species abundance in the neighborhood of a Turing-Hopf bifurcation. We observe a large variety of different patterns where i) stationary heterogeneous patterns (e.g. hot and cold spots) compete with spatio-temporal patterns ii) slowly moving patterns are embedded in an oscillatory background iii) moving fronts and spiral waves appear.

  14. Quality model for semantic IS standards

    NARCIS (Netherlands)

    Folmer, Erwin Johan Albert

    2011-01-01

    Semantic IS (Information Systems) standards are essential for achieving interoperability between organizations. However a recent survey suggests that not the full benefits of standards are achieved, due to the quality issues. This paper presents a quality model for semantic IS standards, that should

  15. SOIL QUALITY ASSESSMENT USING FUZZY MODELING

    Science.gov (United States)

    Maintaining soil productivity is essential if agriculture production systems are to be sustainable, thus soil quality is an essential issue. However, there is a paucity of tools for measurement for the purpose of understanding changes in soil quality. Here the possibility of using fuzzy modeling t...

  16. Spatial Allocator for air quality modeling

    Science.gov (United States)

    The Spatial Allocator is a set of tools that helps users manipulate and generate data files related to emissions and air quality modeling without requiring the use of a commercial Geographic Information System.

  17. Empirically derived dietary patterns and health-related quality of life in the SUN project.

    Directory of Open Access Journals (Sweden)

    Cristina Ruano

    Full Text Available The analysis of dietary patterns has become a valuable tool to examine diet-disease relationships but little is known about their effects on quality of life. Our aim was to ascertain the association between major dietary patterns and mental and physical quality of life after 4 years of follow-up.This analysis included 11,128 participants from the "Seguimiento Universidad de Navarra" (SUN cohort. Dietary habits were assessed using a validated food-frequency questionnaire. Factor analysis was used to derive dietary patterns. Quality of life was measured with the validated Spanish version of the SF-36 Health Survey.Two major dietary patterns were identified, the 'Western' dietary pattern (rich in red meats, processed pastries and fast-food and the "Mediterranean" dietary pattern (high in fruits, vegetables and olive oil. After controlling for confounders, the Western dietary pattern was associated with quality of life in all domains. The magnitude of these differences between the subjects in the highest (quintile 5 and the lowest quintile of adherence to the Western pattern ranged from -0.8 (for mental health to -3.5 (for vitality. On the contrary, the Mediterranean dietary pattern was associated with better quality of life domains: differences ranged from +1.3 (for physical functioning to +3.4 (for vitality when comparing extreme quintiles of adherence. Additional sensitivity analyses did not change the reported differences.Whereas baseline adherence to a Western dietary pattern was inversely associated with self-perceived quality of life after 4 years of follow-up, baseline adherence to a Mediterranean dietary pattern was directly associated with better scores in quality of life four years later in the SUN Project.

  18. Quality Control of traffic models

    DEFF Research Database (Denmark)

    Nielsen, Otto Anker; Hansen, Christian Overgaard

    -sikring af trafikmodel-ler, idet ikke nogen har behandlet emnet systematisk. Artiklen præsenterer overvejelser og ideer til kvalitetssikring af trafik-modeller. En række af disse metoder udnytter mulighederne i Geografiske Informationssystemer (GIS). I arbejdet med udvikling af en trafikmodel ind-går: 1......) Etablering af grunddata, 2) Opstilling af model, 3) Indsamling af modeldata og 4) Validering af resultater. Kvalitetssikring af trafikmodeller bør omfatte alle fire elementer. Afsnit 2 giver en kort beskrivelse af den historiske udvikling af trafikmodeller. Afsnit 3 behandler kvalitetssikring af grunddata......, mens afsnit 4 fokuserer på opstilling af model, indsamling af modeldata og behandling af data. Afsnit 5 diskuterer af-vejningen af arbejds-indsatsen vedrørende data og opbygning af modellen. Artiklen afsluttes i afsnit 6 med konklusio-ner og anbefalinger til videre arbejde. Be-handlingen af kvalitets...

  19. Menstrual Pattern and Disorders and Impact on Quality of Life ...

    African Journals Online (AJOL)

    Data were analyzed using the. SPSS software ... Girls with irregular menstrual pattern were 1.4, 1.8, and 1.6 times more likely to have experienced pressure or lenition on them, had school work, and ... This also underscores the need for guided sexuality and menstrual related information targeted at youths. KEY WORDS: ...

  20. Surface Flux Modeling for Air Quality Applications

    Directory of Open Access Journals (Sweden)

    Limei Ran

    2011-08-01

    Full Text Available For many gasses and aerosols, dry deposition is an important sink of atmospheric mass. Dry deposition fluxes are also important sources of pollutants to terrestrial and aquatic ecosystems. The surface fluxes of some gases, such as ammonia, mercury, and certain volatile organic compounds, can be upward into the air as well as downward to the surface and therefore should be modeled as bi-directional fluxes. Model parameterizations of dry deposition in air quality models have been represented by simple electrical resistance analogs for almost 30 years. Uncertainties in surface flux modeling in global to mesoscale models are being slowly reduced as more field measurements provide constraints on parameterizations. However, at the same time, more chemical species are being added to surface flux models as air quality models are expanded to include more complex chemistry and are being applied to a wider array of environmental issues. Since surface flux measurements of many of these chemicals are still lacking, resistances are usually parameterized using simple scaling by water or lipid solubility and reactivity. Advances in recent years have included bi-directional flux algorithms that require a shift from pre-computation of deposition velocities to fully integrated surface flux calculations within air quality models. Improved modeling of the stomatal component of chemical surface fluxes has resulted from improved evapotranspiration modeling in land surface models and closer integration between meteorology and air quality models. Satellite-derived land use characterization and vegetation products and indices are improving model representation of spatial and temporal variations in surface flux processes. This review describes the current state of chemical dry deposition modeling, recent progress in bi-directional flux modeling, synergistic model development research with field measurements, and coupling with meteorological land surface models.

  1. Texture Based Quality Analysis of Simulated Synthetic Ultrasound Images Using Local Binary Patterns

    Directory of Open Access Journals (Sweden)

    Prerna Singh

    2017-12-01

    Full Text Available Speckle noise reduction is an important area of research in the field of ultrasound image processing. Several algorithms for speckle noise characterization and analysis have been recently proposed in the area. Synthetic ultrasound images can play a key role in noise evaluation methods as they can be used to generate a variety of speckle noise models under different interpolation and sampling schemes, and can also provide valuable ground truth data for estimating the accuracy of the chosen methods. However, not much work has been done in the area of modeling synthetic ultrasound images, and in simulating speckle noise generation to get images that are as close as possible to real ultrasound images. An important aspect of simulated synthetic ultrasound images is the requirement for extensive quality assessment for ensuring that they have the texture characteristics and gray-tone features of real images. This paper presents texture feature analysis of synthetic ultrasound images using local binary patterns (LBP and demonstrates the usefulness of a set of LBP features for image quality assessment. Experimental results presented in the paper clearly show how these features could provide an accurate quality metric that correlates very well with subjective evaluations performed by clinical experts.

  2. Parametric pattern selection in a reaction-diffusion model.

    Directory of Open Access Journals (Sweden)

    Michael Stich

    Full Text Available We compare spot patterns generated by Turing mechanisms with those generated by replication cascades, in a model one-dimensional reaction-diffusion system. We determine the stability region of spot solutions in parameter space as a function of a natural control parameter (feed-rate where degenerate patterns with different numbers of spots coexist for a fixed feed-rate. While it is possible to generate identical patterns via both mechanisms, we show that replication cascades lead to a wider choice of pattern profiles that can be selected through a tuning of the feed-rate, exploiting hysteresis and directionality effects of the different pattern pathways.

  3. Modeling groundwater flow and quality

    Science.gov (United States)

    Konikow, Leonard F.; Glynn, Pierre D.; Selinus, Olle

    2013-01-01

    In most areas, rocks in the subsurface are saturated with water at relatively shallow depths. The top of the saturated zone—the water table—typically occurs anywhere from just below land surface to hundreds of feet below the land surface. Groundwater generally fills all pore spaces below the water table and is part of a continuous dynamic flow system, in which the fluid is moving at velocities ranging from feet per millennia to feet per day (Fig. 33.1). While the water is in close contact with the surfaces of various minerals in the rock material, geochemical interactions between the water and the rock can affect the chemical quality of the water, including pH, dissolved solids composition, and trace-elements content. Thus, flowing groundwater is a major mechanism for the transport of chemicals from buried rocks to the accessible environment, as well as a major pathway from rocks to human exposure and consumption. Because the mineral composition of rocks is highly variable, as is the solubility of various minerals, the human-health effects of groundwater consumption will be highly variable.

  4. Inhomogeneous Markov Models for Describing Driving Patterns

    DEFF Research Database (Denmark)

    Iversen, Emil Banning; Møller, Jan K.; Morales, Juan Miguel

    2017-01-01

    . Specifically, an inhomogeneous Markov model that captures the diurnal variation in the use of a vehicle is presented. The model is defined by the time-varying probabilities of starting and ending a trip, and is justified due to the uncertainty associated with the use of the vehicle. The model is fitted to data...... collected from the actual utilization of a vehicle. Inhomogeneous Markov models imply a large number of parameters. The number of parameters in the proposed model is reduced using B-splines....

  5. Impact of land use on urban mobility patterns, emissions and air quality in a Portuguese medium-sized city.

    Science.gov (United States)

    Bandeira, Jorge M; Coelho, Margarida C; Sá, Maria Elisa; Tavares, Richard; Borrego, Carlos

    2011-02-15

    The main objective of this work was to evaluate the impact of urban development trends in mobility patterns of a medium sized Portuguese city and air quality consequences, using a sequential modeling process, comprising i) land use and transportation, TRANUS model; ii) road traffic air pollutants emissions, TREM model and; iii) air quality, TAPM model. This integrated methodology was applied to a medium sized Portuguese city. In order to evaluate the implementation of the methodology, a preliminary study was performed, which consisted on the comparison of modeled mobility patterns and CO and PM(10) concentrations with measured data used in the definition of the current scenario. The comparison between modeled and monitored mobility patterns at the morning peak hour for a weekday showed an RMSE of 31%. Regarding CO concentrations, an underestimation of the modeled results was observed. Nevertheless, the modeled PM(10) concentrations were consistent with the monitored data. Overall, the results showed a reasonable consistency of the modeled data, which allowed the use of the integrated modeling system for the study scenarios. The future scenarios consisted on the definition of different mobility patterns and vehicle technology characteristics, according to two main developing trends: (1) "car pooling" scenario, which imposes a mean occupancy rate of 3 passengers by vehicle and (2) the "Euro 6" scenario, which establishes that all vehicles accomplish at least the Euro 6 standard technology. Reductions of 54% and 83% for CO, 44% and 95% for PM(10), 44% and 87% for VOC and 44% and 79% for NO(x) emissions were observed in scenarios 1 and 2, respectively. Concerning air quality, a reduction of about 100 μg m(-3) of CO annual average concentration was observed in both scenarios. The results of PM(10) annual concentrations showed a reduction of 1.35 μg m(-3) and 2.7 μg m(-3) for scenarios 1 and 2 respectively. Copyright © 2010 Elsevier B.V. All rights reserved.

  6. Nutritional quality of dietary patterns of children: are there differences inside and outside school?

    Directory of Open Access Journals (Sweden)

    Diva Aliete dos Santos Vieira

    Full Text Available Abstract: Objectives: To describe the dietary patterns of children inside and outside school and investigate their associations with sociodemographic factors and nutritional status. Methods: This was a multicenter cross-sectional study in which children of both sexes, aged 1-6 years, attending private and public daycare centers and preschools in Brazil, were evaluated (n = 2979. Demographic, socioeconomic and dietary data (weighed food records and estimated food records were collected. Dietary patterns were derived by factor analysis from 36 food groups. Results: Four dietary patterns were identified inside school, and three outside. Inside school, the "traditional" pattern was associated to low income and presented high nutritional quality. The "dual" pattern was associated with low income and with high intake of added sugar and glycemic load. The "snack" pattern was associated with children enrolled at private schools and with high intake of added sugar and glycemic load. The "bread and butter" pattern was associated with high intake of added sugar and trans fat. Outside school, the "traditional" pattern was associated with high intake of saturated fat, trans fats, sodium, and total fiber. The "bread and butter" pattern was associated with high intake of trans fats and glycemic load, whereas the "snack" pattern was associated with overweight, private schools, high income, and high intake of trans fats, sodium, and total fiber. Conclusion: There are differences in the nutritional quality of dietary patterns inside and outside school, and heterogeneity in adherence to these patterns were observed across regions and socioeconomic classes.

  7. [Relationships between landscape pattern and water quality at western reservoir area in Shenzhen City].

    Science.gov (United States)

    Yue, Jun; Wang, Yang-lin; Li, Gui-cai; Wu, Jian-sheng; Xie, Miao-miao

    2008-01-01

    In this paper, the relationships between landscape pattern and water quality at western reservoir area in Shenzhen City were studied with grey connection method, and the influences of source' and 'sink' landscape patterns on non-point pollution were probed. The results showed that the dominance, adjacency, and fragmentation of 'source' and 'sink' landscapes could markedly influence the water quality. From 2000 to 2001, due to the changes of the 'source' and 'sink' landscape patterns in research areas, the output of pollutants increased and the reduction of pollution decreased, resulting in the deterioration of water quality of three reservoirs. According to the spatial distribution of 'source' and 'sink' landscapes, it was found that the distribution of 'sink' landscapes at the middle-lower reaches of the watersheds had close relationships with the changes of reservoir water quality, suggesting that 'sink' landscape pattern was of significance in the management of non-point pollution.

  8. Associations between dietary patterns and semen quality in men undergoing IVF/ICSI treatment

    NARCIS (Netherlands)

    Vujkovic, M.; Vries, de J.H.M.; Dohle, G.R.; Bonsel, G.J.; Lindemans, J.; Macklon, N.S.; Spek, van der P.J.; Steegers, E.A.P.; Steegers-Theunissen, R.P.M.

    2009-01-01

    BACKGROUND: This study investigates whether dietary patterns, substantiated by biomarkers, are associated with semen quality. METHODS: In 161 men of subfertile couples undergoing in vitro fertilization treatment in a tertiary referral clinic in Rotterdam, the Netherlands, we assessed nutrient

  9. Associations between dietary patterns and semen quality in men undergoing IVF/ICSI treatment

    NARCIS (Netherlands)

    Vujkovic, M.; de Vries, J. H.; Dohle, G. R.; Bonsel, G. J.; Lindemans, J.; Macklon, N. S.; van der Spek, P. J.; Steegers, E. A. P.; Steegers-Theunissen, R. P. M.

    This study investigates whether dietary patterns, substantiated by biomarkers, are associated with semen quality. In 161 men of subfertile couples undergoing in vitro fertilization treatment in a tertiary referral clinic in Rotterdam, the Netherlands, we assessed nutrient intakes and performed

  10. Measures of Quality in Business Process Modelling

    Directory of Open Access Journals (Sweden)

    Radek Hronza

    2015-06-01

    Full Text Available Business process modelling and analysing is undoubtedly one of the most important parts of Applied (Business Informatics. Quality of business process models (diagrams is crucial for any purpose in this area. The goal of a process analyst’s work is to create generally understandable, explicit and error free models. If a process is properly described, created models can be used as an input into deep analysis and optimization. It can be assumed that properly designed business process models (similarly as in the case of correctly written algorithms contain characteristics that can be mathematically described. Besides it will be possible to create a tool that will help process analysts to design proper models. As part of this review will be conducted systematic literature review in order to find and analyse business process model’s design and business process model’s quality measures. It was found that mentioned area had already been the subject of research investigation in the past. Thirty-three suitable scietific publications and twenty-two quality measures were found. Analysed scientific publications and existing quality measures do not reflect all important attributes of business process model’s clarity, simplicity and completeness. Therefore it would be appropriate to add new measures of quality.

  11. STREAMFLOW AND WATER QUALITY REGRESSION MODELING ...

    African Journals Online (AJOL)

    Journal of Modeling, Design and Management of Engineering Systems ... Consistency tests, trend analyses and mathematical modeling of water quality constituents and riverflow characteristics at upstream Nekede station and downstream Obigbo station show: consistent time-trends in degree of contamination; linear and ...

  12. Teaching-Family Model: Insuring Quality Practice

    Science.gov (United States)

    McElgunn, Peggy

    2012-01-01

    The Teaching-Family Model was one of the earliest approaches to be supported by an extensive research base. As it has evolved over four decades, it retains the focus on teaching and learning but incorporates a strength- and relationship-based orientation. The model is also unique in gathering ongoing practice-based evidence to insure quality.

  13. Robustness of river basin water quality models

    NARCIS (Netherlands)

    de Blois, Chris; Wind, H.G.; de Kok, Jean-Luc; Koppeschaar, K.

    2003-01-01

    In this paper the concept of robustness is introduced and applied to a model for the analysis of the impacts of spatially distributed policy measures on the surface water quality on a river basin scale. In this model the influence of precipitation on emissions and resuspension of pollutants in the

  14. Stand dynamics, spatial pattern and site quality in Austrocedrus chilensis forests in Patagonia, Argentina

    Directory of Open Access Journals (Sweden)

    S.L. Burns

    2013-07-01

    Full Text Available Aim of study: The objective of this study was to analyze the stand structure and spatial pattern of two A. chilensis stands with contrasting soil conditions and different site qualities in order to explore if these differences lead to patterns similar to the ones observed under different precipitation conditions.Area of study: The study was carried out in two stands located near the city of El Bolsón (41° 56’S - 71° 33’ W, Rio Negro, Argentina.Material and Methods: We evaluated age difference between canopy strata (upper and lower in two stands with different site qualities by means of a Mann-Whitney test. Dead individuals by diameter class were compared by means of a chi square test. Spatial distribution pattern was analyzed using the pair-correlation function and the mark-correlation function.Main results: Both sites exhibited a random spatial distribution of A. chilensis but different processes seem to underlie the patterns. In the low-quality site facilitation and continuous establishment led to a transient clumped spatial pattern. Mortality mediated by competition occurred mainly on small trees resulting in the current random pattern. On the other hand, spatial pattern in the high-quality site does not reflect a facilitation mediated recruitment. The upper strata established synchronously and subsequent regeneration was episodic.Research highlights: The results show that the differences in site quality may lead to different establishment spatial patterns, showing the importance of facilitation processes in sites with drier soil conditions and lower quality, although results may be site specific, due to the lack of replications.Keywords: Spatial analysis; regeneration; mortality; competition; facilitation.Abbreviations used:  LQ: low-quality site; HQ: high-quality site.

  15. Associations Between Dietary Patterns and Longitudinal Quality of Life Changes in Colorectal Cancer Patients: The ColoCare Study.

    Science.gov (United States)

    Gigic, Biljana; Boeing, Heiner; Toth, Reka; Böhm, Jürgen; Habermann, Nina; Scherer, Dominique; Schrotz-King, Petra; Abbenhardt-Martin, Clare; Skender, Stephanie; Brenner, Hermann; Chang-Claude, Jenny; Hoffmeister, Michael; Syrjala, Karen; Jacobsen, Paul B; Schneider, Martin; Ulrich, Alexis; Ulrich, Cornelia M

    2018-01-01

    Quality of life (QoL) is an important clinical outcome in cancer patients. We investigated associations between dietary patterns and QoL changes in colorectal cancer (CRC) patients. The study included 192 CRC patients with available EORTC QLQ-C30 data before and 12 months post-surgery and food frequency questionnaire data at 12 months post-surgery. Principal component analysis was used to identify dietary patterns. Multivariate regression models assessed associations between dietary patterns and QoL changes over time. We identified four major dietary patterns: "Western" dietary pattern characterized by high consumption of potatoes, red and processed meat, poultry, and cakes, "fruit&vegetable" pattern: high intake of vegetables, fruits, vegetable oils, and soy products, "bread&butter" pattern: high intake of bread, butter and margarine, and "high-carb" pattern: high consumption of pasta, grains, nonalcoholic beverages, sauces and condiments. Patients following a "Western" diet had lower chances to improve in physical functioning (OR = 0.45 [0.21-0.99]), constipation (OR = 0.30 [0.13-0.72]) and diarrhea (OR: 0.44 [0.20-0.98]) over time. Patients following a "fruit&vegetable" diet showed improving diarrhea scores (OR: 2.52 [1.21-5.34]. A "Western" dietary pattern after surgery is inversely associated with QoL in CRC patients, whereas a diet rich in fruits and vegetables may be beneficial for patients' QoL over time.

  16. A Turing Reaction-Diffusion Model for Human Cortical Folding Patterns and Cortical Pattern Malformations

    Science.gov (United States)

    Hurdal, Monica K.; Striegel, Deborah A.

    2011-11-01

    Modeling and understanding cortical folding pattern formation is important for quantifying cortical development. We present a biomathematical model for cortical folding pattern formation in the human brain and apply this model to study diseases involving cortical pattern malformations associated with neural migration disorders. Polymicrogyria is a cortical malformation disease resulting in an excessive number of small gyri. Our mathematical model uses a Turing reaction-diffusion system to model cortical folding. The lateral ventricle (LV) and ventricular zone (VZ) of the brain are critical components in the formation of cortical patterning. In early cortical development the shape of the LV can be modeled with a prolate spheroid and the VZ with a prolate spheroid surface. We use our model to study how global cortex characteristics, such as size and shape of the LV, affect cortical pattern formation. We demonstrate increasing domain scale can increase the number of gyri and sulci formed. Changes in LV shape can account for sulcus directionality. By incorporating LV size and shape, our model is able to elucidate which parameters can lead to excessive cortical folding.

  17. Quality Control of Traditional Cannabis Tinctures: Pattern, Markers, and Stability

    OpenAIRE

    Peschel, Wieland

    2016-01-01

    Traditional tinctures of Cannabis sativa L. became obsolete before elucidation of the main cannabinoids and routine quality testing for medicines. In view of increasing medicinal use of cannabinoids and associated safety concerns, tinctures from a ?9-tetrahydrocannabinol (THC)-type chemovar were studied. High-performance liquid chromatography with diode-array detection (HPLC/DAD) was used to determine THC, ?9-tetrahydrocannabinolic acid A (THCA), cannabinol (CBN), cannabidiol (CBD), cannabidi...

  18. Landscaping practices, land use patterns and stormwater quantity and quality in urban watersheds

    Science.gov (United States)

    Miles, B.; Band, L. E.

    2011-12-01

    Increasing quantity and decreasing quality of urban stormwater threatens biodiversity in local streams and reservoirs, jeopardizes water supplies, and ultimately contributes to estuarine eutrophication. To estimate the effects that present and alternative landscaping practices and land use patterns may have on urban stormwater quantity and quality, simulations of existing land use/land cover using the Regional Hydro-Ecologic Simulation System (RHESSys), a process-based surface hydrology and biogeochemistry model, were developed for watersheds in Baltimore, MD (as part of the Baltimore Ecosystem Study (BES) NSF Long-Term Ecological Research (LTER) site) and Durham, NC (as part of the NSF Urban Long-Term Research Area (ULTRA) program). The influence of land use patterns and landscaping practices on nutrient export in urban watersheds has been explored as part of the BES; this work has focused on improving our understanding of how residential landscaping practices (i.e. lawn fertilization rates) vary across land use and socioeconomic gradients. Elsewhere, others have explored the political ecology of residential landscaping practices - seeking to understand the economic, political, and cultural influences on the practice of high-input residential turf-grass management. Going forward, my research will synthesize and extend this prior work. Rather than pre-supposing predominant residential land use patterns and landscaping practices (i.e. lower-density periphery development incorporating high-input turf landscapes) alternate land use and landscaping scenarios (e.g. higher-density/transit-oriented development, rain gardens, vegetable gardens, native plant/xeriscaping) will be developed through interviews/focus groups with stakeholders (citizens, public officials, developers, non-profits). These scenarios will then be applied to the RHESSys models already developed for catchments in Baltimore and Durham. The modeled scenario results will be used to identify alternate land

  19. Ontology-driven extraction of linguistic patterns for modelling clinical guidelines

    NARCIS (Netherlands)

    Serban, Radu; Teije, Annette Ten; Van Harmelen, Frank; Marcos, Mar; Polo-Conde, Cristina

    2005-01-01

    Evidence-based clinical guidelines require frequent updates duo to research and technology advances. The quality of guideline updates can be improved if the knowledge underlying the guideline text is explicitly modelled using the so-called guideline patterns (GPs), mappings between a text fragment

  20. [Changes of regional environment quality pattern in China since 1986-2008].

    Science.gov (United States)

    Guan, Wei-Hua; Sun, Ming-Kun; Lu, Yu-Qi

    2011-03-01

    For further study of regional differences and the pattern of changes in environmental quality in China since 1986-2008, we perform the principal component analysis, standard deviation, Mann-Kendall and cluster analysis on 18 environmental quality indexes in 28 provinces of China in this paper. Those indexes refer to pollutant emission, pollutants treatment capacities and pollutant emission of per unit land area, etc. The paper indicates that regional environmental quality in China has been increased slightly during this period. It can be divided into four stages: 1986-2000, 2000-2001, 2001-2005 and 2005-2008. The overall patterns of regional environmental quality is the West is higher than the East in general, while the environmental quality of the eastern part have been changed somewhat. For more details, the regional environmental quality in China in 1986 is composed of two parts, the eastern part and the western part, while in 2000 and 2001 the eastern part, the middle part and the western part appears as the overall pattern. For the year of 2005, the regional environmental quality in the western is higher than that of the eastern; meanwhile, the eastern can be divided into the northern part, the middle part and the southern part, and the environmental quality in northern part is better than that of the southern part, southern part is better than that of the middle part. This pattern hardly changed in 2008, except that the area with poor environment quality region had expanded. Pollutant emission of per unit land area played as a main factor; yet both the pollutant emission and the reuse of pollutants impacted the pattern specifically. In addition, the national macro policies, the regional policies, the regional economic and the industrial structure can be primary reason for the change of regional environmental quality pattern in China as well.

  1. [Relationship between landscape pattern and river water quality in Wujingang region, Taihu Lake watershed].

    Science.gov (United States)

    Zhang, Da-wei; Li, Yang-fan; Sun, Xiang; Zhang, Fang-shan; Zhu, Hong-xing; Liu, Yi; Zhang, Ying; Zhuang, Min; Zhu, Xiao-dong

    2010-08-01

    Wujingang region was taken as the study area to explore the relationship between landscape pattern and river water quality. Remote sensing image was interpreted and buffer zones were constructed, and then landscape patterns characterized by land-use patterns and five selected landscape metrics including Number of patches (NP), Area-weighted mean patch fractal dimension (FRAC _AM), Shannon's diversity index (SHDI), Shannon' s evenness index (SHEI), Contagion index (CONTAG) in each buffer zone were obtained. By employing the correlation analysis between the landscape pattern and river water quality, the results indicated that the river water quality was influenced by landscape pattern. The percentage of built-up area was positively related with water quality indicators, demonstrating that the percentage of built-up area was one of the key factors affecting the river water quality, while the percentage of cultivated land showed a negative relationship. Furthermore, the relationships between the selected five landscape metrics and water quality were also revealed. SHDI and SHEI were significantly positively related with water quality indicators, while CONTAG showed the opposite relationship.

  2. Quality of Life: Meaning, Measurement, and Models

    Science.gov (United States)

    1992-05-01

    occupation of head of household, education, religion , and sex. In the Rosen and Moghadam (1988) study of the quality of life of Army wives, only 3...Navy Personnel Research and Development Center San Diego, California 92152-6800 TN-92-15 May 1992 AD-A250 813 Quality of Life : Meaning, Measurement...and Models Elyse W. Kerce 92-13297 $9ý 1 4 Approved for public release: distribuior , is unlimited. NPRDC-TN-92-15 May 1992 Quality of Life : Meaning

  3. Improving PSA quality of KSNP PSA model

    International Nuclear Information System (INIS)

    Yang, Joon Eon; Ha, Jae Joo

    2004-01-01

    In the RIR (Risk-informed Regulation), PSA (Probabilistic Safety Assessment) plays a major role because it provides overall risk insights for the regulatory body and utility. Therefore, the scope, the level of details and the technical adequacy of PSA, i.e. the quality of PSA is to be ensured for the successful RIR. To improve the quality of Korean PSA, we evaluate the quality of the KSNP (Korean Standard Nuclear Power Plant) internal full-power PSA model based on the 'ASME PRA Standard' and the 'NEI PRA Peer Review Process Guidance.' As a working group, PSA experts of the regulatory body and industry also participated in the evaluation process. It is finally judged that the overall quality of the KSNP PSA is between the ASME Standard Capability Category I and II. We also derive some items to be improved for upgrading the quality of the PSA up to the ASME Standard Capability Category II. In this paper, we show the result of quality evaluation, and the activities to improve the quality of the KSNP PSA model

  4. Simulating pattern-process relationships to validate landscape genetic models

    Science.gov (United States)

    A. J. Shirk; S. A. Cushman; E. L. Landguth

    2012-01-01

    Landscapes may resist gene flow and thereby give rise to a pattern of genetic isolation within a population. The mechanism by which a landscape resists gene flow can be inferred by evaluating the relationship between landscape models and an observed pattern of genetic isolation. This approach risks false inferences because researchers can never feasibly test all...

  5. An Evaluation of ADLs on Modeling Patterns for Software Architecture

    NARCIS (Netherlands)

    Waqas Kamal, Ahmad; Avgeriou, Paris

    2007-01-01

    Architecture patterns provide solutions to recurring design problems at the architecture level. In order to model patterns during software architecture design, one may use a number of existing Architecture Description Languages (ADLs), including the UML, a generic language but also a de facto

  6. Understanding meal patterns: definitions, methodology and impact on nutrient intake and diet quality.

    Science.gov (United States)

    Leech, Rebecca M; Worsley, Anthony; Timperio, Anna; McNaughton, Sarah A

    2015-06-01

    Traditionally, nutrition research has focused on individual nutrients, and more recently dietary patterns. However, there has been relatively little focus on dietary intake at the level of a 'meal'. The purpose of the present paper was to review the literature on adults' meal patterns, including how meal patterns have previously been defined and their associations with nutrient intakes and diet quality. For this narrative literature review, a comprehensive search of electronic databases was undertaken to identify studies in adults aged ≥ 19 years that have investigated meal patterns and their association with nutrient intakes and/or diet quality. To date, different approaches have been used to define meals with little investigation of how these definitions influence the characterisation of meal patterns. This review identified thirty-four and fourteen studies that have examined associations between adults' meals patterns, nutrient intakes and diet quality, respectively. Most studies defined meals using a participant-identified approach, but varied in the additional criteria used to determine individual meals, snacks and/or eating occasions. Studies also varied in the types of meal patterns, nutrients and diet quality indicators examined. The most consistent finding was an inverse association between skipping breakfast and diet quality. No consistent association was found for other meal patterns, and little research has examined how meal timing is associated with diet quality. In conclusion, an understanding of the influence of different meal definitions on the characterisation of meal patterns will facilitate the interpretation of the existing literature, and may provide guidance on the most appropriate definitions to use.

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

    Science.gov (United States)

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

  8. Emergent patterns of social affiliation in primates, a model.

    Directory of Open Access Journals (Sweden)

    Ivan Puga-Gonzalez

    2009-12-01

    Full Text Available Many patterns of affiliative behaviour have been described for primates, for instance: reciprocation and exchange of grooming, grooming others of similar rank, reconciliation of fights, and preferential reconciliation with more valuable partners. For these patterns several functions and underlying cognitive processes have been suggested. It is, however, difficult to imagine how animals may combine these diverse considerations in their mind. Although the co-variation hypothesis, by limiting the social possibilities an individual has, constrains the number of cognitive considerations an individual has to take, it does not present an integrated theory of affiliative patterns either. In the present paper, after surveying patterns of affiliation in egalitarian and despotic macaques, we use an individual-based model with a high potential for self-organisation as a starting point for such an integrative approach. In our model, called GrooFiWorld, individuals group and, upon meeting each other, may perform a dominance interaction of which the outcomes of winning and losing are self-reinforcing. Besides, if individuals think they will be defeated, they consider grooming others. Here, the greater their anxiety is, the greater their "motivation" to groom others. Our model generates patterns similar to many affiliative patterns of empirical data. By merely increasing the intensity of aggression, affiliative patterns in the model change from those resembling egalitarian macaques to those resembling despotic ones. Our model produces such patterns without assuming in the mind of the individual the specific cognitive processes that are usually thought to underlie these patterns (such as recordkeeping of the acts given and received, a tendency to exchange, memory of the former fight, selective attraction to the former opponent, and estimation of the value of a relationship. Our model can be used as a null model to increase our understanding of affiliative

  9. Temporal-pattern learning in neural models

    CERN Document Server

    Genís, Carme Torras

    1985-01-01

    While the ability of animals to learn rhythms is an unquestionable fact, the underlying neurophysiological mechanisms are still no more than conjectures. This monograph explores the requirements of such mechanisms, reviews those previously proposed and postulates a new one based on a direct electric coding of stimulation frequencies. Experi­ mental support for the option taken is provided both at the single neuron and neural network levels. More specifically, the material presented divides naturally into four parts: a description of the experimental and theoretical framework where this work becomes meaningful (Chapter 2), a detailed specifica­ tion of the pacemaker neuron model proposed together with its valida­ tion through simulation (Chapter 3), an analytic study of the behavior of this model when submitted to rhythmic stimulation (Chapter 4) and a description of the neural network model proposed for learning, together with an analysis of the simulation results obtained when varying seve­ ral factors r...

  10. Land use changes and its impacts on air quality and atmospheric patterns

    Science.gov (United States)

    Freitas, E. D.; Mazzoli, C. R.; Martins, L. D.; Martins, J. A.; Carvalho, V.; Andrade, M.

    2013-05-01

    Possible modifications on atmospheric patterns and air quality caused by land use changes are discussed in this work. With the increasing interest in alternative energy sources, mainly due to the replacement of fossil fuels, large part of the Brazilian territory is being used for sugar cane cultivation. The resultant modifications in land use and some activities associated to this crop are studied with some detail through numerical modeling of the atmosphere. The same tool was applied to study the effect of surface type and emission sources over urban areas in the neighborhoods of the cultivated areas, in particular those located in the Metropolitan Area of Campinas, inside the state of São Paulo, Brazil. The main focus of this work was to identify some relationship between these two types of land use modification and its influence on the regional atmospheric circulation patterns and air quality over agricultural and urban areas affected by biomass burning and the traditional sources of pollutants, such as industries and vehicles. First, the effect of urban areas was analyzed and it was possible to identify typical patterns associated with urban heat islands, especially over the city of Campinas. In this region, air temperature differences up to 3 K were detected during night time. During the day, due to the atmospheric conditions of the studied period, this effect was not significant. Afterwards, the effect of sugar cane cultivated regions was discussed. The results show that the regions of sugar cane grow can significantly modify the surface energy fluxes, with direct consequences to the standards of local temperature and humidity and over nearby regions. Sensitivity tests were carried out during part of September, 2007, through the substitution of the sugar cane by a generic crop in the model, and show that during the day the cultivated areas can present temperatures up to 0,65 k higher than those in the case of the generic one. Throughout the dispersion module

  11. Model based monitoring of stormwater runoff quality

    DEFF Research Database (Denmark)

    Birch, Heidi; Vezzaro, Luca; Mikkelsen, Peter Steen

    2012-01-01

    Monitoring of micropollutants (MP) in stormwater is essential to evaluate the impacts of stormwater on the receiving aquatic environment. The aim of this study was to investigate how different strategies for monitoring of stormwater quality (combination of model with field sampling) affect...... the information obtained about MPs discharged from the monitored system. A dynamic stormwater quality model was calibrated using MP data collected by volume-proportional and passive sampling in a storm drainage system in the outskirts of Copenhagen (Denmark) and a 10-year rain series was used to find annual...

  12. Evaluating spatial patterns in hydrological modelling

    DEFF Research Database (Denmark)

    Koch, Julian

    is not fully exploited by current modelling frameworks due to the lack of suitable spatial performance metrics. Furthermore, the traditional model evaluation using discharge is found unsuitable to lay confidence on the predicted catchment inherent spatial variability of hydrological processes in a fully...... the contiguous United Sates (10^6 km2). To this end, the thesis at hand applies a set of spatial performance metrics on various hydrological variables, namely land-surface-temperature (LST), evapotranspiration (ET) and soil moisture. The inspiration for the applied metrics is found in related fields...

  13. Temporal Patterns in Seawater Quality from Dredging in Tropical Environments.

    Directory of Open Access Journals (Sweden)

    Ross Jones

    Full Text Available Maintenance and capital dredging represents a potential risk to tropical environments, especially in turbidity-sensitive environments such as coral reefs. There is little detailed, published observational time-series data that quantifies how dredging affects seawater quality conditions temporally and spatially. This information is needed to test realistic exposure scenarios to better understand the seawater-quality implications of dredging and ultimately to better predict and manage impacts of future projects. Using data from three recent major capital dredging programs in North Western Australia, the extent and duration of natural (baseline and dredging-related turbidity events are described over periods ranging from hours to weeks. Very close to dredging i.e. <500 m distance, a characteristic features of these particular case studies was high temporal variability. Over several hours suspended sediment concentrations (SSCs can range from 100-500 mg L-1. Less turbid conditions (10-80 mg L-1 can persist over several days but over longer periods (weeks to months averages were <10 mg L-1. During turbidity events all benthic light was sometimes extinguished, even in the shallow reefal environment, however a much more common feature was very low light 'caliginous' or daytime twilight periods. Compared to pre-dredging conditions, dredging increased the intensity, duration and frequency of the turbidity events by 10-, 5- and 3-fold respectively (at sites <500 m from dredging. However, when averaged across the entire dredging period of 80-180 weeks, turbidity values only increased by 2-3 fold above pre-dredging levels. Similarly, the upper percentile values (e.g., P99, P95 of seawater quality parameters can be highly elevated over short periods, but converge to values only marginally above baseline states over longer periods. Dredging in these studies altered the overall probability density distribution, increasing the frequency of extreme values. As

  14. Modeling of glutamate-induced dynamical patterns

    DEFF Research Database (Denmark)

    Faurby-Bentzen, Christian Krefeld; Zhabotinsky, A.M.; Laugesen, Jakob Lund

    2009-01-01

    Based on established physiological mechanisms, the paper presents a detailed computer model, which supports the hypothesis that temporal lobe epilepsy may be caused by failure of glutamate reuptake from the extracellular space. The elevated glutamate concentration causes an increased activation o...

  15. Prediction of annual rainfall pattern using Hidden Markov Model ...

    African Journals Online (AJOL)

    A hidden Markov model to predict annual rainfall pattern has been presented in this paper. The model is developed to provide necessary information for the farmers, agronomists, water resource management scientists and policy makers to enable them plan for the uncertainty of annual rainfall. The model classified annual ...

  16. Convenience-based food purchase patterns: identification and associations with dietary quality, sociodemographic factors and attitudes.

    Science.gov (United States)

    Peltner, Jonas; Thiele, Silke

    2018-02-01

    The present study aimed to derive food purchase patterns considering the convenience level of foods. Associations between identified patterns and dietary quality were analysed, as well as household characteristics associated with the dietary patterns. A Convenience Food Classification Scheme (CFCS) was developed. After classifying basic food groups into the CFCS, the formed groups were used to apply a factor analysis to identify convenience-based food purchase patterns. For these patterns nutrient and energy densities were examined. Using regression analysis, associations between the adherence to the patterns and household characteristic and attitude variables were analysed. The study used representative German food purchase data from 2011. Approximately 12 million purchases of 13 131 households were recorded in these data. Three convenience-based patterns were identified: a low-convenience, a semi-convenience and a ready-to-eat food pattern. Tighter adherence to the semi-convenience pattern was shown to result in the lowest nutrient and highest energy densities. Important factors influencing adherence to the patterns were household size, presence of children and attitudes. Working full-time was negatively associated with adherence to the low-convenience pattern and positively with the ready-to-eat pattern. Convenience foods were an important part of households' food baskets which in some cases led to lower nutritional quality. Therefore, it is important to offer convenience foods higher in nutrient density and lower in energy density. Interventions targeted on enhancing cooking skills could be an effective strategy to increase purchases of unprocessed foods, which, in turn, could also contribute to an improved diet quality.

  17. The evaluation of pattern and quality of sleep in patients with chronic rhinosinusitis with nasal polyps.

    Science.gov (United States)

    Uz, Uzdan; Günhan, Kıvanç; Yılmaz, Hikmet; Ünlü, Halis

    2017-12-01

    The goal of this study is to evaluate the impact of chronic rhinosinusitis with nasal polyps (CRSwNP) on sleep pattern and sleep quality before and after functional endoscopic sinus surgery using subjective and objective parameters. Twenty-two patients with CRSwNP were evaluated. All subjects underwent assessment by nasal endoscopy, rhinomanometry and computed tomography. Sleep pattern and sleep quality were evaluated by Pittsburgh sleep quality index (PSQI) and polysomnography (PSG). All patients were reassessed 6 months after surgery. Nasal resistance decreased after the surgery (psleep pattern and sleep quality. CRSwNP may be a predisposing factor for sleep related respiratory disorders. Copyright © 2017 Elsevier B.V. All rights reserved.

  18. Innovations in projecting emissions for air quality modeling ...

    Science.gov (United States)

    Air quality modeling is used in setting air quality standards and in evaluating their costs and benefits. Historically, modeling applications have projected emissions and the resulting air quality only 5 to 10 years into the future. Recognition that the choice of air quality management strategy has climate change implications is encouraging longer modeling time horizons. However, for multi-decadal time horizons, many questions about future conditions arise. For example, will current population, economic, and land use trends continue, or will we see shifts that may alter the spatial and temporal pattern of emissions? Similarly, will technologies such as building-integrated solar photovoltaics, battery storage, electric vehicles, and CO2 capture emerge as disruptive technologies - shifting how we produce and use energy - or will these technologies achieve only niche markets and have little impact? These are some of the questions that are being evaluated by researchers within the U.S. EPA’s Office of Research and Development. In this presentation, Dr. Loughlin will describe a range of analytical approaches that are being explored. These include: (i) the development of alternative scenarios of the future that can be used to evaluate candidate management strategies over wide-ranging conditions, (ii) the application of energy system models to project emissions decades into the future and to assess the environmental implications of new technologies, (iii) and methodo

  19. [Change patterns, influencing factors and predictors of quality of life in patients with Alzheimer's disease].

    Science.gov (United States)

    Li, Mingqiu; Huang, Haihua; Jiang, Gaoxuan; Mou, Xin; Chen, Qinghong

    2015-04-21

    To explore the change patterns, influencing factors and predictors of quality of life for 4 years in patients with Alzheimer's disease (AD). A total of 96 mild-moderate AD patients on combined therapies of medicine and recuperation were enrolled. Their clinical symptoms were graded by mini-mental state examination (MMSE), activity of daily living (ADL), global deterioration scale (GDS), neuropsychiatric inventory (NPI), Hamilton depression scale (HRSD), Hamilton anxiety scale (HAMA) and Pittsburgh sleep quality index (PQSI). And their qualities of life were evaluated by Quality of Life-Alzheimer's Disease (QOL-AD) at baseline and at the end of 1, 2, 3, 4 year. (1) During a 4-year follow-up, the scores of QOL-AD, MMSE, ADL, GDS, NPI, HRSD, HAMA and PQSI decreased markedly compared with baseline [(17.5±1.9), (12±3), (45±9), (5.2±0.8), (31±11), (20±6), (14±6), (14±4) vs (30.5±4.6), (21±4), (34±10), (3.3±0.9), (22±9), (18±6), (11±4), (12±4) respectively, t=25.31, 15.42, -7.16, -14.83, -5.56, -2.94, -4.45, -5.60, all Pqualities of life decreased significantly. (2) Spearman's correlation analysis showed that the scores of 4-year QOL-AD were correlated with the 4-year score changes of MMSE, ADL, GDS (r=0.344, 0.368, 0.213; P=0.002, 0.001, 0.047). (3) Multiple Logistic regression model showed that the baseline scores of NPI and HRSD were strong predictors of loss of quality of life (OR=1.697, 1.269; P=0.000, 0.006). And the area under the curve of receiver operating characteristic (ROC) of NPI and HRSD were 0.918 (95% CI: 0.844-0.991) and 0.878 (95% CI: 0.804-0.953) respectively. With the deterioration of AD, the quality of life decreases significantly and has correlations with the score changes of MMSE, ADL and GDS. High scores of NPI and HRSD are the important predictors for a loss of quality of life in AD patients. Early detection and timely interventions are necessary.

  20. Quality assessment of human behavior models

    NARCIS (Netherlands)

    Doesburg, W.A. van

    2007-01-01

    Accurate and efficient models of human behavior offer great potential in military and crisis management applications. However, little attention has been given to the man ner in which it can be determined if this potential is actually realized. In this study a quality assessment approach that

  1. A formal model for total quality management

    NARCIS (Netherlands)

    S.C. van der Made-Potuijt; H.B. Bertsch (Boudewijn); L.P.J. Groenewegen

    1996-01-01

    textabstractTotal Quality Management (TQM) is a systematic approach to managing a company. TQM is systematic in the sense that it is uses facts through observation, analysis and measurable goals. There are theoretical descriptions of this management concept, but there is no formal model of it. A

  2. Pattern formation of a nonlocal, anisotropic interaction model

    KAUST Repository

    Burger, Martin

    2017-11-24

    We consider a class of interacting particle models with anisotropic, repulsive–attractive interaction forces whose orientations depend on an underlying tensor field. An example of this class of models is the so-called Kücken–Champod model describing the formation of fingerprint patterns. This class of models can be regarded as a generalization of a gradient flow of a nonlocal interaction potential which has a local repulsion and a long-range attraction structure. In contrast to isotropic interaction models the anisotropic forces in our class of models cannot be derived from a potential. The underlying tensor field introduces an anisotropy leading to complex patterns which do not occur in isotropic models. This anisotropy is characterized by one parameter in the model. We study the variation of this parameter, describing the transition between the isotropic and the anisotropic model, analytically and numerically. We analyze the equilibria of the corresponding mean-field partial differential equation and investigate pattern formation numerically in two dimensions by studying the dependence of the parameters in the model on the resulting patterns.

  3. Putting people into water quality modelling.

    Science.gov (United States)

    Strickert, G. E.; Hassanzadeh, E.; Noble, B.; Baulch, H. M.; Morales-Marin, L. A.; Lindenschmidt, K. E.

    2017-12-01

    Water quality in the Qu'Appelle River Basin, Saskatchewan is under pressure due to nutrient pollution entering the river system from major cities, industrial zones and agricultural areas. Among these stressors, agricultural activities are basin-wide; therefore, they are the largest non-point source of water pollution in this region. The dynamics of agricultural impacts on water quality are complex and stem from decisions and activities of two distinct stakeholder groups, namely grain farmers and cattle producers, which have different business plans, values, and attitudes towards water quality. As a result, improving water quality in this basin requires engaging with stakeholders to: (1) understand their perspectives regarding a range of agricultural Beneficial Management Practices (BMPs) that can improve water quality in the region, (2) show them the potential consequences of their selected BMPs, and (3) work with stakeholders to better understand the barriers and incentives to implement the effective BMPs. In this line, we held a series of workshops in the Qu'Appelle River Basin with both groups of stakeholders to understand stakeholders' viewpoints about alternative agricultural BMPs and their impact on water quality. Workshop participants were involved in the statement sorting activity (Q-sorts), group discussions, as well as mapping activity. The workshop outcomes show that stakeholder had four distinct viewpoints about the BMPs that can improve water quality, i.e., flow and erosion control, fertilizer management, cattle site management, as well as mixed cattle and wetland management. Accordingly, to simulate the consequences of stakeholder selected BMPs, a conceptual water quality model was developed using System Dynamics (SD). The model estimates potential changes in water quality at the farm, tributary and regional scale in the Qu'Appelle River Basin under each and/or combination of stakeholder selected BMPs. The SD model was then used for real

  4. Quality Control of Traditional Cannabis Tinctures: Pattern, Markers, and Stability.

    Science.gov (United States)

    Peschel, Wieland

    2016-04-18

    Traditional tinctures of Cannabis sativa L. became obsolete before elucidation of the main cannabinoids and routine quality testing for medicines. In view of increasing medicinal use of cannabinoids and associated safety concerns, tinctures from a Δ9-tetrahydrocannabinol (THC)-type chemovar were studied. High-performance liquid chromatography with diode-array detection (HPLC/DAD) was used to determine THC, Δ9-tetrahydrocannabinolic acid A (THCA), cannabinol (CBN), cannabidiol (CBD), cannabidiolic acid (CBDA), cannabigerol (CBG), cannabigerolic acid (CBGA), cannflavin A/B, and total phenolics. Derived group and ratio markers describe absolute and relative profiles when varying plant part (flos, folium), extraction solvent (EtOH percentage), storage conditions ('shelf' or 'fridge' up to 15 months), and pasteurization (2 h 70 °C, 20 min 80 °C). Tinctures from female flowering tops contained ten-fold more cannabinoids than tinctures from leaves; tinctures (80%-90% EtOH) contained ten-fold more cannabinoids than tinctures (40% EtOH). The analysis of CBGA + CBG, the main co-cannabinoids aside from THCA + THC, appears more relevant than CBDA + CBD. The decarboxylation of THCA to THC-the main change during storage of freshly prepared tinctures-is after 15 months in the 'fridge' comparable to 3 months on the 'shelf'. Minimally increased CBN totals did not correlate to diminished totals of THCA and THC (up to 15% after 3 months 'shelf', 45% after 15 months 'fridge'). Instead, total cannabinoids or acidic/neutral cannabinoid ratios are better stability markers. Moderate changes after pasteurization and partial losses below 10% for total cannabinoids after 9 months 'fridge' indicate possibilities for a reasonable shelf life. Yet storage and use of non-stabilized tinctures remain critical without authorized specification and stability data because a consistent cannabinoid content is not guaranteed.

  5. An inexact fuzzy-chance-constrained air quality management model.

    Science.gov (United States)

    Xu, Ye; Huang, Guohe; Qin, Xiaosheng

    2010-07-01

    Regional air pollution is a major concern for almost every country because it not only directly relates to economic development, but also poses significant threats to environment and public health. In this study, an inexact fuzzy-chance-constrained air quality management model (IFAMM) was developed for regional air quality management under uncertainty. IFAMM was formulated through integrating interval linear programming (ILP) within a fuzzy-chance-constrained programming (FCCP) framework and could deal with uncertainties expressed as not only possibilistic distributions but also discrete intervals in air quality management systems. Moreover, the constraints with fuzzy variables could be satisfied at different confidence levels such that various solutions with different risk and cost considerations could be obtained. The developed model was applied to a hypothetical case of regional air quality management. Six abatement technologies and sulfur dioxide (SO2) emission trading under uncertainty were taken into consideration. The results demonstrated that IFAMM could help decision-makers generate cost-effective air quality management patterns, gain in-depth insights into effects of the uncertainties, and analyze tradeoffs between system economy and reliability. The results also implied that the trading scheme could achieve lower total abatement cost than a nontrading one.

  6. Patterns and Predictors of Sleep Quality Within the First Year After Lung Transplantation.

    Science.gov (United States)

    Fatigati, Angela; Alrawashdeh, Mohammad; Zaldonis, Jenna; Dabbs, Annette DeVito

    2016-03-01

    Sleep quality affects health and self-management in chronic illness. Limited research has examined patterns and predictors of sleep quality and its impact on self-management and health-related quality of life (HRQOL) among lung transplant recipients (LTRs). The aims of this study were to identify the patterns, predictors, and impact of poor sleep quality on self-management behaviors and HRQOL the first year after lung transplantation. Secondary analysis of 75 LTRs who participated in a randomized controlled trial. Pittsburgh Sleep Quality Index (PSQI) was administered at baseline, 2, 6, and 12 months after transplant; 12-month PSQI was dichotomized categorizing good versus poor sleepers. Predictors were measured at the time of transplant; self-management and HRQOL were measured at 12 months. Logistic regression identified predictors of poor sleep. Correlations examined poor sleep quality, self-management behaviors, and HRQOL. Sleep quality was relatively stable during the first year, and 24 of the 75 (32%) of the sample met criteria for poor sleep quality at 12 months. The only multivariate predictor of poor sleep was female gender (odds ratio = 3.421; P = .026); the mental component of HRQOL was the only outcome associated with poor sleep (r = -.348; P sleep through year 1. More females reported poor sleep quality, and sleep quality was inversely related to mental HRQOL by 12 months. Knowledge of these relationships may help identify LTRs at the greatest risk for poor sleep and guide strategies to promote sleep and optimize HRQOL. © 2016, NATCO.

  7. Health related quality of life of immigrant children: towards a new pattern in Germany?

    Science.gov (United States)

    Villalonga-Olives, Ester; von Steinbüchel, Nicole; Witte, Claudia; Kasten, Erich; Kawachi, Ichiro; Kiese-Himmel, Christiane

    2014-08-03

    To study Health related quality of life (HRQoL) of a sample of kindergarten children with migration background. Five kindergartens in Frankfurt/Main and Darmstadt (Germany) participated. HRQoL was measured with the Kiddy-KINDL (KK) in 3 to 5 year old children. We examined the associations of HRQoL with socio-demographic variables, positive development and resilience, socio-emotional and motor development. Linear regression models were applied to examine differences in HRQoL between migrant and native-born German children. The response rate was 90.5% (N = 283). The children had predominantly migrant background (81.35%). Perceived health was slightly higher in migrants (69.85, SD 17.00) compared to native-born German children (68.33, SD 17.31, p > 0.05), even though migrant children were characterized by a lower socio-economic status (p < 0.01). Results suggest that HRQoL at early ages in our study exhibits a different pattern than reported previously in studies among older individuals. We attribute the discrepancy partly to a possible changing pattern of migration in Europe with more migrants capable to migrate with healthy profiles, and to the age of our population. Our findings underscore the need to study the life course trajectory of HRQoL among young immigrants and replication in representative samples.

  8. Klang River water quality modelling using music

    Science.gov (United States)

    Zahari, Nazirul Mubin; Zawawi, Mohd Hafiz; Muda, Zakaria Che; Sidek, Lariyah Mohd; Fauzi, Nurfazila Mohd; Othman, Mohd Edzham Fareez; Ahmad, Zulkepply

    2017-09-01

    Water is an essential resource that sustains life on earth; changes in the natural quality and distribution of water have ecological impacts that can sometimes be devastating. Recently, Malaysia is facing many environmental issues regarding water pollution. The main causes of river pollution are rapid urbanization, arising from the development of residential, commercial, industrial sites, infrastructural facilities and others. The purpose of the study was to predict the water quality of the Connaught Bridge Power Station (CBPS), Klang River. Besides that, affects to the low tide and high tide and. to forecast the pollutant concentrations of the Biochemical Oxygen Demand (BOD) and Total Suspended Solid (TSS) for existing land use of the catchment area through water quality modeling (by using the MUSIC software). Besides that, to identifying an integrated urban stormwater treatment system (Best Management Practice or BMPs) to achieve optimal performance in improving the water quality of the catchment using the MUSIC software in catchment areas having tropical climates. Result from MUSIC Model such as BOD5 at station 1 can be reduce the concentration from Class IV to become Class III. Whereas, for TSS concentration from Class III to become Class II at the station 1. The model predicted a mean TSS reduction of 0.17%, TP reduction of 0.14%, TN reduction of 0.48% and BOD5 reduction of 0.31% for Station 1 Thus, from the result after purposed BMPs the water quality is safe to use because basically water quality monitoring is important due to threat such as activities are harmful to aquatic organisms and public health.

  9. Voice Quality Modelling for Expressive Speech Synthesis

    Directory of Open Access Journals (Sweden)

    Carlos Monzo

    2014-01-01

    Full Text Available This paper presents the perceptual experiments that were carried out in order to validate the methodology of transforming expressive speech styles using voice quality (VoQ parameters modelling, along with the well-known prosody (F0, duration, and energy, from a neutral style into a number of expressive ones. The main goal was to validate the usefulness of VoQ in the enhancement of expressive synthetic speech in terms of speech quality and style identification. A harmonic plus noise model (HNM was used to modify VoQ and prosodic parameters that were extracted from an expressive speech corpus. Perception test results indicated the improvement of obtained expressive speech styles using VoQ modelling along with prosodic characteristics.

  10. Nutritional quality of dietary patterns of children: are there differences inside and outside school?

    Science.gov (United States)

    Vieira, Diva Aliete Dos Santos; Castro, Michelle Alessandra; Fisberg, Mauro; Fisberg, Regina Mara

    To describe the dietary patterns of children inside and outside school and investigate their associations with sociodemographic factors and nutritional status. This was a multicenter cross-sectional study in which children of both sexes, aged 1-6 years, attending private and public daycare centers and preschools in Brazil, were evaluated (n=2979). Demographic, socioeconomic and dietary data (weighed food records and estimated food records) were collected. Dietary patterns were derived by factor analysis from 36 food groups. Four dietary patterns were identified inside school, and three outside. Inside school, the "traditional" pattern was associated to low income and presented high nutritional quality. The "dual" pattern was associated with low income and with high intake of added sugar and glycemic load. The "snack" pattern was associated with children enrolled at private schools and with high intake of added sugar and glycemic load. The "bread and butter" pattern was associated with high intake of added sugar and trans fat. Outside school, the "traditional" pattern was associated with high intake of saturated fat, trans fats, sodium, and total fiber. The "bread and butter" pattern was associated with high intake of trans fats and glycemic load, whereas the "snack" pattern was associated with overweight, private schools, high income, and high intake of trans fats, sodium, and total fiber. There are differences in the nutritional quality of dietary patterns inside and outside school, and heterogeneity in adherence to these patterns were observed across regions and socioeconomic classes. Copyright © 2016 Sociedade Brasileira de Pediatria. Published by Elsevier Editora Ltda. All rights reserved.

  11. Pattern-based approach for logical traffic isolation forensic modelling

    CSIR Research Space (South Africa)

    Dlamini, I

    2009-08-01

    Full Text Available reusability and flexibility of the LTI model. This model is viewed as a three-tier architecture, which for experimental purposes is composed of the following components: traffic generator, DiffServ network and the sink server. The Mediator pattern is used...

  12. ADKAR MODEL VS. QUALITY MANAGEMENT CHANGE

    Directory of Open Access Journals (Sweden)

    Gratiela Dana Boca

    2013-12-01

    Full Text Available This research was conducted through different countries to identify dimensions and antecedents of buyer-seller relationships quality. In light of the findings dimensions of relationship quality have emerged: mutual trust, partners’ commitment in the relationship, cooperation and creativity and innovation. Also, the research identifies several key success factors in business relationships that are grouped into different categories: factors related to relational behaviours and factors related to characteristics of the offer. These results serve as valuable indicators, allowing managers to evaluate, adjust and develop their relationships marketing strategies. The ADKAR model provides a tool for improving the connection between individual performance, organizational change management and business results. This study provides a significant contribution to the relationship quality literature and present few ideas for future management in a new manufacture vision for MANU-FUTURE.

  13. Evaluating predictive models of software quality

    International Nuclear Information System (INIS)

    Ciaschini, V; Canaparo, M; Ronchieri, E; Salomoni, D

    2014-01-01

    Applications from High Energy Physics scientific community are constantly growing and implemented by a large number of developers. This implies a strong churn on the code and an associated risk of faults, which is unavoidable as long as the software undergoes active evolution. However, the necessities of production systems run counter to this. Stability and predictability are of paramount importance; in addition, a short turn-around time for the defect discovery-correction-deployment cycle is required. A way to reconcile these opposite foci is to use a software quality model to obtain an approximation of the risk before releasing a program to only deliver software with a risk lower than an agreed threshold. In this article we evaluated two quality predictive models to identify the operational risk and the quality of some software products. We applied these models to the development history of several EMI packages with intent to discover the risk factor of each product and compare it with its real history. We attempted to determine if the models reasonably maps reality for the applications under evaluation, and finally we concluded suggesting directions for further studies.

  14. Development of dietary pattern evaluation tool for adults and correlation with Dietary Quality Index

    OpenAIRE

    Lee, Yeo Do; Kim, Kyung Won; Choi, Kyung-Suk; Kim, Misung; Cho, Yeo Jin; Sohn, Cheongmin

    2016-01-01

    BACKGROUND/OBJECTIVES As the prevalence of chronic diseases has risen, the need for straightforward diagnostic tools for monitoring nutrition status to improve nutrition counseling and disease prevention has likewise increased. This study developed an easily usable dietary behavior pattern diagnosis checklist and investigated its correlation with dietary quality index. SUBJECTS/METHODS A draft dietary pattern evaluation tool was generated by analyzing previous studies. The draft questionnaire...

  15. The Air Quality Model Evaluation International Initiative ...

    Science.gov (United States)

    This presentation provides an overview of the Air Quality Model Evaluation International Initiative (AQMEII). It contains a synopsis of the three phases of AQMEII, including objectives, logistics, and timelines. It also provides a number of examples of analyses conducted through AQMEII with a particular focus on past and future analyses of deposition. The National Exposure Research Laboratory (NERL) Computational Exposure Division (CED) develops and evaluates data, decision-support tools, and models to be applied to media-specific or receptor-specific problem areas. CED uses modeling-based approaches to characterize exposures, evaluate fate and transport, and support environmental diagnostics/forensics with input from multiple data sources. It also develops media- and receptor-specific models, process models, and decision support tools for use both within and outside of EPA.

  16. [Preliminary study on linking land use & landscape pattern and water quality in the Jiulong River watershed].

    Science.gov (United States)

    Huang, Jin-Liang; Li, Qing-Sheng; Hong, Hua-Sheng; Lin, Jie; Qu, Meng-Chao

    2011-01-01

    Geospatial analysis and statistical analysis were integrated to link land use & landscape pattern and water quality in 2002 and 2007 at the entire watershed and buffer zone scale in the Jiulong River Watershed. Results show that the relationships between land use & landscape pattern and water quality in 2002 and 2007 were basically consistent, namely: (1) Percentage of built-up area was positively correlated with BOD5, NO3(-)-N, NH4(+)-N and permanganate index, and negatively correlated with DO; percentage of woodland area was positively correlated with NO3(-)-N, NH4(+)-N and permanganate index; percentage of cropland area was negatively correlated with NO3(-)-N, NH4(+)-N and permanganate index. (2) SHDI was positively correlated with permanganate index, TP, NH4(+)-N, and negatively correlated with DO at the entire watershed and buffer scale; LPI was negatively correlated with BOD5, permanganate index, TP and NH4(+)-N, and positively correlated with DO at the entire watershed and buffer zone scale; PD was positively correlated with BOD5, TP and NH4(+)-N; Most of the landscape pattern metrics was not the good predictors for water quality in study watershed. (3) Water quality parameters in buffer zone area have more significant correlations with percentage of land use type areas and landscape pattern metrics, because most water quality parameters in the buffer zone can be better explained with greater adjusted coefficient of determination (Adjusted R2). (4) Compared to landscape pattern metrics, percentage of land use type area can predict water quality better because most water quality parameters have more stable correlations.

  17. An assessment model for quality management

    Science.gov (United States)

    Völcker, Chr.; Cass, A.; Dorling, A.; Zilioli, P.; Secchi, P.

    2002-07-01

    SYNSPACE together with InterSPICE and Alenia Spazio is developing an assessment method to determine the capability of an organisation in the area of quality management. The method, sponsored by the European Space Agency (ESA), is called S9kS (SPiCE- 9000 for SPACE). S9kS is based on ISO 9001:2000 with additions from the quality standards issued by the European Committee for Space Standardization (ECSS) and ISO 15504 - Process Assessments. The result is a reference model that supports the expansion of the generic process assessment framework provided by ISO 15504 to nonsoftware areas. In order to be compliant with ISO 15504, requirements from ISO 9001 and ECSS-Q-20 and Q-20-09 have been turned into process definitions in terms of Purpose and Outcomes, supported by a list of detailed indicators such as Practices, Work Products and Work Product Characteristics. In coordination with this project, the capability dimension of ISO 15504 has been revised to be consistent with ISO 9001. As contributions from ISO 9001 and the space quality assurance standards are separable, the stripped down version S9k offers organisations in all industries an assessment model based solely on ISO 9001, and is therefore interesting to all organisations, which intend to improve their quality management system based on ISO 9001.

  18. Regional water quality patterns in an alluvial aquifer: direct and indirect influences of rivers.

    Science.gov (United States)

    Baillieux, A; Campisi, D; Jammet, N; Bucher, S; Hunkeler, D

    2014-11-15

    The influence of rivers on the groundwater quality in alluvial aquifers can be twofold: direct and indirect. Rivers can have a direct influence via recharge and an indirect one by controlling the distribution of fine-grained, organic-carbon rich flood deposits that induce reducing conditions. These direct and indirect influences were quantified for a large alluvial aquifer on the Swiss Plateau (50km(2)) in interaction with an Alpine river using nitrate as an example. The hydrochemistry and stable isotope composition of water were characterized using a network of 115 piezometers and pumping stations covering the entire aquifer. Aquifer properties, land use and recharge zones were evaluated as well. This information provided detailed insight into the factors that control the spatial variability of groundwater quality. Three main factors were identified: (1) diffuse agricultural pollution sources; (2) dilution processes resulting from river water infiltrations, revealed by the δ(18)OH2O and δ(2)HH2O contents of groundwater; and (3) denitrification processes, controlled by the spatial variability of flood deposits governed by fluvial depositional processes. It was possible to quantify the dependence of the nitrate concentration on these three factors at any sampling point of the aquifer using an end-member mixing model, where the average nitrate concentration in recharge from the agricultural area was evaluated at 52mg/L, and the nitrate concentration of infiltrating river at approximately 6mg/L. The study shows the importance of considering the indirect and direct impacts of rivers on alluvial aquifers and provides a methodological framework to evaluate aquifer scale water quality patterns. Copyright © 2014 Elsevier B.V. All rights reserved.

  19. SOA Modeling Patterns for Service Oriented Discovery and Analysis

    CERN Document Server

    Bell, Michael

    2010-01-01

    Learn the essential tools for developing a sound service-oriented architecture. SOA Modeling Patterns for Service-Oriented Discovery and Analysis introduces a universal, easy-to-use, and nimble SOA modeling language to facilitate the service identification and examination life cycle stage. This business and technological vocabulary will benefit your service development endeavors and foster organizational software asset reuse and consolidation, and reduction of expenditure. Whether you are a developer, business architect, technical architect, modeler, business analyst, team leader, or manager,

  20. Dietary patterns and quality in West-African immigrants in Madrid

    Directory of Open Access Journals (Sweden)

    Vioque Jesús

    2009-01-01

    Full Text Available Abstract Background Eating patterns of immigrants deserve to be better documented because they may reflect the extent of acculturation and associated health risks. The study assessed dietary patterns and quality in Bubi immigrants (from Equatorial Guinea using cluster analysis and comparing different diet quality indexes. Methods A random sample of 83 Bubi men and 130 women living in Madrid were studied. A 99-item food frequency questionnaire was administered, body weights and heights were self-reported and socio-demographic and health information was collected during interviews. Usual intakes were collapsed into 19 food groups. Cluster analysis of standardized food intakes per 1000 kcalories was performed. Dietary quality was appraised using the Alternative Mediterranean Diet Score, the Alternative Healthy Eating Index and scores of micronutrient adequacy and prevention based on WHO/FAO recommendations. Results Two dietary patterns were identified. The 'Healthier' pattern, so confirmed by two dietary quality indexes, featured a higher consumption of fish, fruits, vegetables, legumes, dairy products and bread while the 'Western' pattern included more processed meat, animal fat, and sweetened foods and drinks. One third of the subjects were in the 'Healthier' food cluster, with the same proportion of men and women. Age ≥ 30 and residence in Madrid ≥ 11 years were independently associated with the healthier diet. Consumption of traditional foods was unrelated to dietary pattern, however. Overall, Bubi diets were somewhat protective because of high intakes of fruits and vegetables and monounsaturated fat (olive oil, but not with respect to sugar, cholesterol, omega-3 fatty acids and fibre. Less than two thirds of subjects had adequate intakes of iron, calcium and folate in both dietary phenotypes. Body mass index, physical exercise, and self-reported health and cardiovascular disease condition showed no significant association with the dietary

  1. Breakfast Dietary Patterns among Mexican Children Are Related to Total-Day Diet Quality.

    Science.gov (United States)

    Afeiche, Myriam C; Taillie, Lindsey Smith; Hopkins, Sinead; Eldridge, Alison L; Popkin, Barry M

    2017-03-01

    Background: Mexico has experienced shifts in food availability and consumption patterns over the past few decades from traditional diets to those containing more high-energy density foods, resulting in the development of unhealthful dietary patterns among children and adults. However, to our knowledge it is not known whether breakfast consumption patterns contribute to the overall daily diet of Mexican children. Objective: We examined total-day diet among breakfast consumers compared with breakfast skippers, identified and investigated breakfast dietary patterns in relation to energy and nutrient intakes at breakfast and across the day, and examined these patterns in relation to sociodemographic characteristics. Methods: With the use of nationally representative dietary data (one 24-h recall) from the 2012 Mexican National Health and Nutrition Survey, 3760 children aged 4-13 y were categorized into mutually exclusive breakfast patterns with the use of cluster analysis. The association between breakfast patterns and breakfast skippers with dietary intake at breakfast and for the total day was investigated with the use of multivariate linear regression. Results: Most children (83%) consumed breakfast. Six breakfast dietary patterns were identified (milk and sweetened breads, tortillas and beans, sweetened beverages, sandwiches and quesadillas, eggs, and cereal and milk) and reflected both traditional and more Westernized dietary patterns. Sugar-sweetened beverages were consumed across all patterns. Compared with all breakfast dietary patterns, breakfast skippers had the lowest intake of several nutrients of public health concern. Nutrients to limit that were high at breakfast tended to be high for the total day and vice versa for nutrients to encourage. Conclusions: There was not a single pattern that complied perfectly with the Mexican School Breakfast Guidelines, but changes such as increasing dietary fiber by encouraging more whole grains, fruits, vegetables, and

  2. Modeling of Water Quality 'Almendares River'

    International Nuclear Information System (INIS)

    Domínguez Catasús, Judith

    2005-01-01

    The river Almendares, one of the most important water bodies of the Havana City, is very polluted. The analysis of parameters as dissolved oxygen and biochemical oxygen demand is very helpful for the studies aimed to the recovery of the river. There is a growing recognition around the word that the water quality models are very useful tools to plan sanitary strategies for the handling of the contamination. In the present work, the advective, steady- state Streeter and Phelps model was validated to simulate the effect of the multiple-point and distributed sources on the carbonaceous oxygen demand, NH4 and dissolved oxygen. For modeling purposes the section of the river located between the point where the waste water treatment station Maria del Carmen discharges to the river and the Bridge El Bosque, was divided in 11 segments. The use of the 99mTc and the Rodamine WT as tracers allowed determining the hydrodynamic parameters necessary for modeling purposes. The validated model allows to predict the effect of the sanitary strategies on the water quality of the river. The main conclusions are: 1. The model Streeter and Phelps calibrated and validated in the Almendares between the confluence of the channel 'María del Carmen' and bridge the Forest of Havana, described in more than 90% The behavior of the dissolved oxygen and BODn (in terms of ammonia), and more than 85%, the carbonaceous demand oxygen, which characterizes the process of purification. 2. Model validation Streeter and Phelps, indicates that implicit conceptual model is appropriate. This refers primarily to the considerations relating to the calculation of the kinetic constants and the DOS, the segmentation used, to the location of the discharges and the Standing been about them, to the river morphology and hydrodynamic parameters . 3. The calibration procedure Streeter and Phelps model that determines the least-squares Kr-Kd pair that best fits the OD and uses this Kr to model BOD gets four% increase in

  3. Semantic integration by pattern priming: experiment and cortical network model.

    Science.gov (United States)

    Lavigne, Frédéric; Longrée, Dominique; Mayaffre, Damon; Mellet, Sylvie

    2016-12-01

    Neural network models describe semantic priming effects by way of mechanisms of activation of neurons coding for words that rely strongly on synaptic efficacies between pairs of neurons. Biologically inspired Hebbian learning defines efficacy values as a function of the activity of pre- and post-synaptic neurons only. It generates only pair associations between words in the semantic network. However, the statistical analysis of large text databases points to the frequent occurrence not only of pairs of words (e.g., "the way") but also of patterns of more than two words (e.g., "by the way"). The learning of these frequent patterns of words is not reducible to associations between pairs of words but must take into account the higher level of coding of three-word patterns. The processing and learning of pattern of words challenges classical Hebbian learning algorithms used in biologically inspired models of priming. The aim of the present study was to test the effects of patterns on the semantic processing of words and to investigate how an inter-synaptic learning algorithm succeeds at reproducing the experimental data. The experiment manipulates the frequency of occurrence of patterns of three words in a multiple-paradigm protocol. Results show for the first time that target words benefit more priming when embedded in a pattern with the two primes than when only associated with each prime in pairs. A biologically inspired inter-synaptic learning algorithm is tested that potentiates synapses as a function of the activation of more than two pre- and post-synaptic neurons. Simulations show that the network can learn patterns of three words to reproduce the experimental results.

  4. Understanding the Relationship Between Filling Pattern and Part Quality in Die Casting

    Energy Technology Data Exchange (ETDEWEB)

    Jerald Brevick; R. Allen Miller

    2004-03-15

    The overall objective of this research project was to investigate phenomena involved in the filling of die cavities with molten alloy in the cold chamber die-casting process. It has long been recognized that the filling pattern of molten metal entering a die cavity influences the quality of die-cast parts. Filling pattern may be described as the progression of molten metal filling the die cavity geometry as a function of time. The location, size and geometric configuration of points of metal entry (gates), as well as the geometry of the casting cavity itself, have great influence on filling patterns. Knowledge of the anticipated filling patterns in die-castings is important for designers. Locating gates to avoid undesirable flow patterns that may entrap air in the casting is critical to casting quality - as locating vents to allow air to escape from the cavity (last places to fill). Casting quality attributes that are commonly flow related are non-fills, poor surface finish, internal porosity due to trapped air, cold shuts, cold laps, flow lines, casting skin delamination (flaking), and blistering during thermal treatment.

  5. Urban compaction or dispersion? An air quality modelling study

    Science.gov (United States)

    Martins, Helena

    2012-07-01

    Urban sprawl is altering the landscape, with current trends pointing to further changes in land use that will, in turn, lead to changes in population, energy consumption, atmospheric emissions and air quality. Urban planners have debated on the most sustainable urban structure, with arguments in favour and against urban compaction and dispersion. However, it is clear that other areas of expertise have to be involved. Urban air quality and human exposure to atmospheric pollutants as indicators of urban sustainability can contribute to the discussion, namely through the study of the relation between urban structure and air quality. This paper addresses the issue by analysing the impacts of alternative urban growth patterns on the air quality of Porto urban region in Portugal, through a 1-year simulation with the MM5-CAMx modelling system. This region has been experiencing one of the highest European rates of urban sprawl, and at the same time presents a poor air quality. As part of the modelling system setup, a sensitivity study was conducted regarding different land use datasets and spatial distribution of emissions. Two urban development scenarios were defined, SPRAWL and COMPACT, together with their new land use and emission datasets; then meteorological and air quality simulations were performed. Results reveal that SPRAWL land use changes resulted in an average temperature increase of 0.4 °C, with local increases reaching as high as 1.5 °C. SPRAWL results also show an aggravation of PM10 annual average values and an increase in the exceedances to the daily limit value. For ozone, differences between scenarios were smaller, with SPRAWL presenting larger concentration differences than COMPACT. Finally, despite the higher concentrations found in SPRAWL, population exposure to the pollutants is higher for COMPACT because more inhabitants are found in areas of highest concentration levels.

  6. Student-Generated Content in College Teaching: Content Quality, Behavioural Pattern and Learning Performance

    Science.gov (United States)

    Yang, X.; Guo, X.; Yu, S.

    2016-01-01

    This study investigates the quality of course content, behavioural patterns of students and learning performance in teaching of student-generated content (SGC). A total of 49 third-year university students in educational technology participated in this study. By combining the methods of questionnaire, lag sequence analysis and interview, the study…

  7. Agent-based modelling of shifting cultivation field patterns, Vietnam

    DEFF Research Database (Denmark)

    Jepsen, Martin Rudbeck; Leisz, S.; Rasmussen, K.

    2006-01-01

    Shifting cultivation in the Nghe An Province of Vietnam's Northern Mountain Region produces a characteristic land-cover pattern of small and larger fields. The pattern is the result of farmers cultivating either individually or in spatially clustered groups. Using spatially explicit agent......-based modelling, and relying on empirical data from fieldwork and observations for parameterization of variables, the level of clustering in agricultural fields observed around a study village is reproduced. Agents in the model act to maximize labour productivity, which is based on potential yield and labour...... costs associated with fencing of fields, and are faced with physical constraints. The simulation results are compared with land-cover data obtained from remote sensing. Comparisons are made on patterns as detected visually and using the mean nearest-neighbour ratio. Baseline simulation outputs show high...

  8. Large-Scale Patterns in a Minimal Cognitive Flocking Model: Incidental Leaders, Nematic Patterns, and Aggregates

    Science.gov (United States)

    Barberis, Lucas; Peruani, Fernando

    2016-12-01

    We study a minimal cognitive flocking model, which assumes that the moving entities navigate using the available instantaneous visual information exclusively. The model consists of active particles, with no memory, that interact by a short-ranged, position-based, attractive force, which acts inside a vision cone (VC), and lack velocity-velocity alignment. We show that this active system can exhibit—due to the VC that breaks Newton's third law—various complex, large-scale, self-organized patterns. Depending on parameter values, we observe the emergence of aggregates or millinglike patterns, the formation of moving—locally polar—files with particles at the front of these structures acting as effective leaders, and the self-organization of particles into macroscopic nematic structures leading to long-ranged nematic order. Combining simulations and nonlinear field equations, we show that position-based active models, as the one analyzed here, represent a new class of active systems fundamentally different from other active systems, including velocity-alignment-based flocking systems. The reported results are of prime importance in the study, interpretation, and modeling of collective motion patterns in living and nonliving active systems.

  9. Modeling patterns in count data using loglinear and related models

    International Nuclear Information System (INIS)

    Atwood, C.L.

    1995-12-01

    This report explains the use of loglinear and logit models, for analyzing Poisson and binomial counts in the presence of explanatory variables. The explanatory variables may be unordered categorical variables or numerical variables, or both. The report shows how to construct models to fit data, and how to test whether a model is too simple or too complex. The appropriateness of the methods with small data sets is discussed. Several example analyses, using the SAS computer package, illustrate the methods

  10. Observations on quality senior health business: success patterns and policy implications.

    Science.gov (United States)

    Yang, Ya-Ting; Hsu, Yi-Hsin Elsa; Chen, Ya-Mei; Su, Shyi; Chang, Yao-Mao; Iqbal, Usman; Yujiro, Handa; Lin, Neng-Pai

    2016-04-01

    Population ageing is a global issue that affects almost every country. Most ageing researches focused on demand side and studies related to supply side were relatively scarce. This study selected quality enterprises focus on ageing health and analysed their patterns on providing quality services successfully. Our study selected quality senior health enterprises and explored their success patterns through face-to-face semi-structured in-depth interviews with CEO of each enterprise in 2013. Thirty-three quality senior health enterprises in Taiwan. Thirty-three CEO's of enterprises were interviewed individually. None. Core values and vision, historical development, organization structure, services/products provided, delivering channels, customer relationships and further development strategies. Our results indicated success patterns for senior enterprises that there were meeting diversified lifestyles and substitutive needs for the elderly and their caregivers, providing a total solution for actual/virtual integration and flexible one-stop shopping services. We classified these enterprises by used degree of clicks-and-mortar of services and residing situation of the elderly. Industry characteristics and policy implications were summarized. Our observations will serve as a primary evidenced base for enterprises developing their senior market, and also for opening dialogue between customers and enterprises to facilitate valuable opportunities for co-creation between the supply and demand sides. © The Author 2016. Published by Oxford University Press in association with the International Society for Quality in Health Care; all rights reserved.

  11. The Use of Models in Urban Space Pattern Analysis | Berhanu ...

    African Journals Online (AJOL)

    This paper focuses on the use of urban space pattern analysis methods. Physical developments once located in space influence a set of social and economic activities. These days urban developments are of large scale and very fast, often involving complex issues. Models are usually used to reduce complexities in ...

  12. A TESSELLATION MODEL FOR CRACK PATTERNS ON SURFACES

    Directory of Open Access Journals (Sweden)

    Werner Nagel

    2011-05-01

    Full Text Available This paper presents a model of random tessellations that reflect several features of crack pattern. There are already several theoretical results derivedwhich indicate that thismodel can be an appropriate referencemodel. Some potential applications are presented in a tentative statistical study.

  13. Modelling Global Pattern Formations for Collaborative Learning Environments

    DEFF Research Database (Denmark)

    Grappiolo, Corrado; Cheong, Yun-Gyung; Khaled, Rilla

    2012-01-01

    We present our research towards the design of a computational framework capable of modelling the formation and evolution of global patterns (i.e. group structures) in a population of social individuals. The framework is intended to be used in collaborative environments, e.g. social serious games...

  14. Using SoaML Models and Event-B Specifications for Modeling SOA Design Patterns

    OpenAIRE

    Tounsi , Imen; Zied , Hrichi; Hadj Kacem , Mohamed; Hadj Kacem , Ahmed; Drira , Khalil

    2013-01-01

    International audience; Although design patterns have become increasingly popular, most of them are presented in an informal way. Patterns, proposed by the SOA design pattern community, are described with a proprietary informal notation, which can raise ambiguity and may lead to their incorrect usage. Modeling SOA design patterns with a standard formal notation avoids misunderstanding by software architects and helps endow design methods. In this paper, we present an approach that aims, first...

  15. Do Stacked Species Distribution Models Reflect Altitudinal Diversity Patterns?

    Science.gov (United States)

    Mateo, Rubén G.; Felicísimo, Ángel M.; Pottier, Julien; Guisan, Antoine; Muñoz, Jesús

    2012-01-01

    The objective of this study was to evaluate the performance of stacked species distribution models in predicting the alpha and gamma species diversity patterns of two important plant clades along elevation in the Andes. We modelled the distribution of the species in the Anthurium genus (53 species) and the Bromeliaceae family (89 species) using six modelling techniques. We combined all of the predictions for the same species in ensemble models based on two different criteria: the average of the rescaled predictions by all techniques and the average of the best techniques. The rescaled predictions were then reclassified into binary predictions (presence/absence). By stacking either the original predictions or binary predictions for both ensemble procedures, we obtained four different species richness models per taxa. The gamma and alpha diversity per elevation band (500 m) was also computed. To evaluate the prediction abilities for the four predictions of species richness and gamma diversity, the models were compared with the real data along an elevation gradient that was independently compiled by specialists. Finally, we also tested whether our richness models performed better than a null model of altitudinal changes of diversity based on the literature. Stacking of the ensemble prediction of the individual species models generated richness models that proved to be well correlated with the observed alpha diversity richness patterns along elevation and with the gamma diversity derived from the literature. Overall, these models tend to overpredict species richness. The use of the ensemble predictions from the species models built with different techniques seems very promising for modelling of species assemblages. Stacking of the binary models reduced the over-prediction, although more research is needed. The randomisation test proved to be a promising method for testing the performance of the stacked models, but other implementations may still be developed. PMID

  16. Modeling Water Clarity and Light Quality in Oceans

    Directory of Open Access Journals (Sweden)

    Mohamed A. Abdelrhman

    2016-11-01

    Full Text Available Phytoplankton is a primary producer of organic compounds, and it forms the base of the food chain in ocean waters. The concentration of phytoplankton in the water column controls water clarity and the amount and quality of light that penetrates through it. The availability of adequate light intensity is a major factor in the health of algae and phytoplankton. There is a strong negative coupling between light intensity and phytoplankton concentration (e.g., through self-shading by the cells, which reduces available light and in return affects the growth rate of the cells. Proper modeling of this coupling is essential to understand primary productivity in the oceans. This paper provides the methodology to model light intensity in the water column, which can be included in relevant water quality models. The methodology implements relationships from bio-optical models, which use phytoplankton chlorophyll a (chl-a concentration as a surrogate for light attenuation, including absorption and scattering by other attenuators. The presented mathematical methodology estimates the reduction in light intensity due to absorption by pure seawater, chl-a pigment, non-algae particles (NAPs and colored dissolved organic matter (CDOM, as well as backscattering by pure seawater, phytoplankton particles and NAPs. The methods presented facilitate the prediction of the effects of various environmental and management scenarios (e.g., global warming, altered precipitation patterns, greenhouse gases on the wellbeing of phytoplankton communities in the oceans as temperature-driven chl-a changes take place.

  17. Regional air quality modeling: North American and European perspectives

    NARCIS (Netherlands)

    Steyn, D.; Builtjes, P.; Schaap, M.; Yarwood, G.

    2013-01-01

    An overview of regional-scale quality modeling practices and perspectives in North America and Europe, highlighting the differences and commonalities in how regional-scale air quality modeling systems are being used and evaluated across both continents

  18. Study on a pattern classification method of soil quality based on simplified learning sample dataset

    Science.gov (United States)

    Zhang, Jiahua; Liu, S.; Hu, Y.; Tian, Y.

    2011-01-01

    Based on the massive soil information in current soil quality grade evaluation, this paper constructed an intelligent classification approach of soil quality grade depending on classical sampling techniques and disordered multiclassification Logistic regression model. As a case study to determine the learning sample capacity under certain confidence level and estimation accuracy, and use c-means algorithm to automatically extract the simplified learning sample dataset from the cultivated soil quality grade evaluation database for the study area, Long chuan county in Guangdong province, a disordered Logistic classifier model was then built and the calculation analysis steps of soil quality grade intelligent classification were given. The result indicated that the soil quality grade can be effectively learned and predicted by the extracted simplified dataset through this method, which changed the traditional method for soil quality grade evaluation. ?? 2011 IEEE.

  19. Patterns of unmet supportive needs and relationship to quality of life in Chinese cancer patients.

    Science.gov (United States)

    Zhu, Lei; Yao, Juntao; Schroevers, Maya J; Zhang, Hongmei; Xie, Juan; Liu, Ailan; Fleer, Joke; Ranchor, Adelita V; Song, Zhangjun

    2018-02-01

    This study aimed to (1) identify distinct patterns of unmet needs in Chinese cancer patients; (2) examine whether sociodemographic and medical characteristics distinguished these patterns; and (3) examine whether people with distinct patterns reported differential quality of life (QoL). This cross-sectional study recruited 301 cancer patients from 2 hospitals in China. The 34-item Supportive Care Needs Survey Short-Form was used to measure unmet needs across 5 domains: physical and daily living, psychological, patient care and support, health systems and information, and sexuality. Latent class analysis was performed to identify patterns of unmet needs across these domains. Four patterns of unmet needs were identified, differing in levels and nature of unmet needs. Participants in class 1 (47%) reported few unmet needs. Patients in class 2 (15%) had moderate levels of unmet needs, displaying similar levels across 5 domains. People in class 3 (25%) and class 4 (13%) reported similarly high levels on "psychological," "health care system and information," "physical and daily living," and "patient care," but differing in "sexuality," with class 3 reporting low levels while class 4 high on "sexuality." None of sociodemographic and medical characteristics distinguished these patterns significantly. Compared to other classes, people in class 1 reported highest levels of QoL. This study demonstrates the existence of 4 patterns of unmet supportive needs in Chinese cancer patients. Patients with few unmet needs reported the best QoL. Copyright © 2017 John Wiley & Sons, Ltd.

  20. Type-2 fuzzy graphical models for pattern recognition

    CERN Document Server

    Zeng, Jia

    2015-01-01

    This book discusses how to combine type-2 fuzzy sets and graphical models to solve a range of real-world pattern recognition problems such as speech recognition, handwritten Chinese character recognition, topic modeling as well as human action recognition. It covers these recent developments while also providing a comprehensive introduction to the fields of type-2 fuzzy sets and graphical models. Though primarily intended for graduate students, researchers and practitioners in fuzzy logic and pattern recognition, the book can also serve as a valuable reference work for researchers without any previous knowledge of these fields. Dr. Jia Zeng is a Professor at the School of Computer Science and Technology, Soochow University, China. Dr. Zhi-Qiang Liu is a Professor at the School of Creative Media, City University of Hong Kong, China.

  1. Microscopic modelling circadian and bursty pattern of human activities.

    Directory of Open Access Journals (Sweden)

    Jinhong Kim

    Full Text Available Recent studies for a wide range of human activities such as email communication, Web browsing, and library visiting, have revealed the bursty nature of human activities. The distribution of inter-event times (IETs between two consecutive human activities exhibits a heavy-tailed decay behavior and the oscillating pattern with a one-day period, reflective of the circadian pattern of human life. Even though a priority-based queueing model was successful as a basic model for understanding the heavy-tailed behavior, it ignored important ingredients, such as the diversity of individual activities and the circadian pattern of human life. Here, we collect a large scale of dataset which contains individuals' time stamps when articles are posted on blog posts, and based on which we construct a theoretical model which can take into account of both ignored ingredients. Once we identify active and inactive time intervals of individuals and remove the inactive time interval, thereby constructing an ad hoc continuous time domain. Therein, the priority-based queueing model is applied by adjusting the arrival and the execution rates of tasks by comparing them with the activity data of individuals. Then, the obtained results are transferred back to the real-time domain, which produces the oscillating and heavy-tailed IET distribution. This microscopic model enables us to develop theoretical understanding towards more empirical results.

  2. Microscopic modelling circadian and bursty pattern of human activities.

    Science.gov (United States)

    Kim, Jinhong; Lee, Deokjae; Kahng, Byungnam

    2013-01-01

    Recent studies for a wide range of human activities such as email communication, Web browsing, and library visiting, have revealed the bursty nature of human activities. The distribution of inter-event times (IETs) between two consecutive human activities exhibits a heavy-tailed decay behavior and the oscillating pattern with a one-day period, reflective of the circadian pattern of human life. Even though a priority-based queueing model was successful as a basic model for understanding the heavy-tailed behavior, it ignored important ingredients, such as the diversity of individual activities and the circadian pattern of human life. Here, we collect a large scale of dataset which contains individuals' time stamps when articles are posted on blog posts, and based on which we construct a theoretical model which can take into account of both ignored ingredients. Once we identify active and inactive time intervals of individuals and remove the inactive time interval, thereby constructing an ad hoc continuous time domain. Therein, the priority-based queueing model is applied by adjusting the arrival and the execution rates of tasks by comparing them with the activity data of individuals. Then, the obtained results are transferred back to the real-time domain, which produces the oscillating and heavy-tailed IET distribution. This microscopic model enables us to develop theoretical understanding towards more empirical results.

  3. Evaluation of CASP8 model quality predictions

    KAUST Repository

    Cozzetto, Domenico

    2009-01-01

    The model quality assessment problem consists in the a priori estimation of the overall and per-residue accuracy of protein structure predictions. Over the past years, a number of methods have been developed to address this issue and CASP established a prediction category to evaluate their performance in 2006. In 2008 the experiment was repeated and its results are reported here. Participants were invited to infer the correctness of the protein models submitted by the registered automatic servers. Estimates could apply to both whole models and individual amino acids. Groups involved in the tertiary structure prediction categories were also asked to assign local error estimates to each predicted residue in their own models and their results are also discussed here. The correlation between the predicted and observed correctness measures was the basis of the assessment of the results. We observe that consensus-based methods still perform significantly better than those accepting single models, similarly to what was concluded in the previous edition of the experiment. © 2009 WILEY-LISS, INC.

  4. Measuring Quality Satisfaction with Servqual Model

    Directory of Open Access Journals (Sweden)

    Dan Păuna

    2012-05-01

    Full Text Available The orientation to customer satisfaction is not a recent phenomenon, many very successfulbusinesspeople from the beginning of the 20th century, such as Sir Henry Royce, a name synonymous withRoll – Royce vehicles, stated the first principle regarding customer satisfaction “Our interest in the Roll-Royce cars does not end at the moment when the owner pays for and takes delivery the car. Our interest in thecar never wanes. Our ambition is that every purchaser of the Rolls - Royce car shall continue to be more thansatisfied (Rolls-Royce.” The following paper tries to deal with the important qualities of the concept for themeasuring of the gap between expected costumer services satisfactions, and perceived services like a routinecustomer feedback process, by means of a relatively new model, the Servqual model.

  5. A study on family communication pattern and parenting styles with quality of life in adolescent

    International Nuclear Information System (INIS)

    Sanavi, F.S.; Baghbanian, A.; Shovey, M.F.; Moghaddam, A.A

    2013-01-01

    Objective: To investigate the relationship between parenting styles and family communication patterns with adolescent's quality of life. Methods: The cross-sectional study was carried out on 439 randomly selected adolescents in the city of Zahedan, Iran, from January to July 2011. The subjects were asked to complete the KIDSCREEN-52 health-related quality of life questionnaire, while their parents were asked to complete the Diana Brinder's Test to show their parenting styles. SPSS 15 was used to analyse data. Results: Most parents had authoritative parenting style (n=380; 86.6%). Pluralistic (n=170; 38.7%) and consensual (n=152; 34.6%) patterns were the most frequent styles of communication in families. Data suggested a significant relationship between parenting style and some dimensions of quality of life, including physical well-being, psychological well-being, social support and peers, and autonomy (p<0.05). There was also a significant relationship between family communication patterns and parent relation and home life (p<0.001) as well as autonomy (p<0.006). Conclusion: Families play a critical role in increasing adolescents, health-related quality-of-life. Effort should be made to address problems facing parents while raising their children. (author)

  6. Tourist Behavior Pattern Mining Model Based on Context

    Directory of Open Access Journals (Sweden)

    Dong-sheng Liu

    2013-01-01

    Full Text Available Personalized travel experience and service of tourist has been a hot topic research in the tourism service supply chain. In this paper, we take the context into consideration and propose an analyzed method to the tourist based on the context: firstly, we analyze the context which influences the tourist behavior patterns, select the main context factors, and construct the tourist behavior pattern model based on it; then, we calculate the interest degree of the tourist behavior pattern and mine out the rules with high interest degree with the association rule algorithm; we can make some recommendations to the tourist with better personalized travelling experience and services. At last, we make an experiment to show the feasibility and effectiveness of our method.

  7. MODELLING PURCHASING PROCESSES FROM QUALITY ASPECTS

    Directory of Open Access Journals (Sweden)

    Zora Arsovski

    2008-12-01

    Full Text Available Management has a fundamental task to identify and direct primary and specific processes within purchasing function, applying the up-to-date information infrastructure. ISO 9001:2000 defines a process as a number of interrelated or interactive activities transforming inputs and outputs, and the "process approach" as a systematic identification in management processes employed with the organization and particularly - relationships among the processes. To direct a quality management system using process approach, the organization is to determine the map of its general (basic processes. Primary processes are determined on the grounds of their interrelationship and impact on satisfying customers' needs. To make a proper choice of general business processes, it is necessary to determine the entire business flow, beginning with the customer demand up to the delivery of products or service provided. In the next step the process model is to be converted into data model which is essential for implementation of the information system enabling automation, monitoring, measuring, inspection, analysis and improvement of key purchase processes. In this paper are given methodology and some results of investigation of development of IS for purchasing process from aspects of quality.

  8. Patterns and predictors of sleep quality before, during, and after hospitalization in older adults.

    Science.gov (United States)

    Dzierzewski, Joseph M; Mitchell, Michael; Rodriguez, Juan Carlos; Fung, Constance H; Jouldjian, Stella; Alessi, Cathy A; Martin, Jennifer L

    2015-01-15

    The impact of hospitalization on sleep in late-life is underexplored. The current study examined patterns of sleep quality before, during, and following hospitalization, investigated predictors of sleep quality patterns, and examined predictors of classification discordance between two suggested clinical cutoffs used to demarcate poor/good sleep. This study included older adults (n = 163; mean age 79.7 ± 6.9 years, 31% female) undergoing inpatient post-acute rehabilitation. Upon admission to inpatient post-acute rehabilitation, patients completed the Pittsburgh Sleep Quality Index (PSQI) retrospectively regarding their sleep prior to hospitalization. They subsequently completed the PSQI at discharge, and 3 months, 6 months, 9 months, and 1 year post discharge. Patient demographic and clinical characteristics (pain, depression, cognition, comorbidity) were collected upon admission. Using latent class analysis methods, older adults could be classified into (1) Consistently Good Sleepers and (2) Chronically Poor Sleepers based on patterns of self-reported sleep quality pre-illness, during, and up to 1 year following inpatient rehabilitation. This pattern was maintained regardless of the clinical cutoff employed (> 5 or > 8). Logistic regression analyses indicated that higher pain and depressive symptoms were consistently associated with an increased likelihood of being classified as a chronic poor sleeper. While there was substantial classification discordance based on clinical cutoff employed, no significant predictors of this discordance emerged. Clinicians should exercise caution in assessing sleep quality in inpatient settings. Alterations in the cutoffs employed may result in discordant clinical classifications of older adults. Pain and depression warrant detailed considerations when working with older adults on inpatient units when poor sleep is a concern. © 2015 American Academy of Sleep Medicine.

  9. 77 FR 4808 - Conference on Air Quality Modeling

    Science.gov (United States)

    2012-01-31

    ... preferred air quality models and to provide a forum for public review and comment on how the agency determines and applies air quality models in the future. DATES: Comments: Comments on how the agency determines and applies air quality models must be received on or before April 16, 2012. Conference: The...

  10. Development of an Instructional Quality Assurance Model in Nursing Science

    Science.gov (United States)

    Ajpru, Haruthai; Pasiphol, Shotiga; Wongwanich, Suwimon

    2011-01-01

    The purpose of this study was to develop an instructional quality assurance model in nursing science. The study was divided into 3 phases; (1) to study the information for instructional quality assurance model development (2) to develop an instructional quality assurance model in nursing science and (3) to audit and the assessment of the developed…

  11. Potential of mathematical modeling in fruit quality | Vazquez-Cruz ...

    African Journals Online (AJOL)

    Potential of mathematical modeling in fruit quality. ... important for flavor and aroma. These models have demonstrated their ability to generate relationships between physiological variables and quality attributes (allometric relations). This new kind of hybrid models has sufficient complexity to predict quality traits behavior.

  12. Simple models for studying complex spatiotemporal patterns of animal behavior

    Science.gov (United States)

    Tyutyunov, Yuri V.; Titova, Lyudmila I.

    2017-06-01

    Minimal mathematical models able to explain complex patterns of animal behavior are essential parts of simulation systems describing large-scale spatiotemporal dynamics of trophic communities, particularly those with wide-ranging species, such as occur in pelagic environments. We present results obtained with three different modelling approaches: (i) an individual-based model of animal spatial behavior; (ii) a continuous taxis-diffusion-reaction system of partial-difference equations; (iii) a 'hybrid' approach combining the individual-based algorithm of organism movements with explicit description of decay and diffusion of the movement stimuli. Though the models are based on extremely simple rules, they all allow description of spatial movements of animals in a predator-prey system within a closed habitat, reproducing some typical patterns of the pursuit-evasion behavior observed in natural populations. In all three models, at each spatial position the animal movements are determined by local conditions only, so the pattern of collective behavior emerges due to self-organization. The movement velocities of animals are proportional to the density gradients of specific cues emitted by individuals of the antagonistic species (pheromones, exometabolites or mechanical waves of the media, e.g., sound). These cues play a role of taxis stimuli: prey attract predators, while predators repel prey. Depending on the nature and the properties of the movement stimulus we propose using either a simplified individual-based model, a continuous taxis pursuit-evasion system, or a little more detailed 'hybrid' approach that combines simulation of the individual movements with the continuous model describing diffusion and decay of the stimuli in an explicit way. These can be used to improve movement models for many species, including large marine predators.

  13. CMAQ Involvement in Air Quality Model Evaluation International Initiative

    Science.gov (United States)

    Description of Air Quality Model Evaluation International Initiative (AQMEII). Different chemical transport models are applied by different groups over North America and Europe and evaluated against observations.

  14. A stochastic differential equation model of diurnal cortisol patterns

    Science.gov (United States)

    Brown, E. N.; Meehan, P. M.; Dempster, A. P.

    2001-01-01

    Circadian modulation of episodic bursts is recognized as the normal physiological pattern of diurnal variation in plasma cortisol levels. The primary physiological factors underlying these diurnal patterns are the ultradian timing of secretory events, circadian modulation of the amplitude of secretory events, infusion of the hormone from the adrenal gland into the plasma, and clearance of the hormone from the plasma by the liver. Each measured plasma cortisol level has an error arising from the cortisol immunoassay. We demonstrate that all of these three physiological principles can be succinctly summarized in a single stochastic differential equation plus measurement error model and show that physiologically consistent ranges of the model parameters can be determined from published reports. We summarize the model parameters in terms of the multivariate Gaussian probability density and establish the plausibility of the model with a series of simulation studies. Our framework makes possible a sensitivity analysis in which all model parameters are allowed to vary simultaneously. The model offers an approach for simultaneously representing cortisol's ultradian, circadian, and kinetic properties. Our modeling paradigm provides a framework for simulation studies and data analysis that should be readily adaptable to the analysis of other endocrine hormone systems.

  15. Tilted dipole model for bias-dependent photoluminescence pattern

    Science.gov (United States)

    Fujieda, Ichiro; Suzuki, Daisuke; Masuda, Taishi

    2014-12-01

    In a guest-host system containing elongated dyes and a nematic liquid crystal, both molecules are aligned to each other. An external bias tilts these molecules and the radiation pattern of the system is altered. A model is proposed to describe this bias-dependent photoluminescence patterns. It divides the liquid crystal/dye layer into sub-layers that contain electric dipoles with specific tilt angles. Each sub-layer emits linearly polarized light. Its radiation pattern is toroidal and is determined by the tilt angle. Its intensity is assumed to be proportional to the power of excitation light absorbed by the sub-layer. This is calculated by the Lambert-Beer's Law. The absorption coefficient is assumed to be proportional to the cross-section of the tilted dipole moment, in analogy to the ellipsoid of refractive index, to evaluate the cross-section for each polarized component of the excitation light. Contributions from all the sub-layers are added to give a final expression for the radiation pattern. Self-absorption is neglected. The model is simplified by reducing the number of sub-layers. Analytical expressions are derived for a simple case that consists of a single layer with tilted dipoles sandwiched by two layers with horizontally-aligned dipoles. All the parameters except for the tilt angle can be determined by measuring transmittance of the excitation light. The model roughly reproduces the bias-dependent photoluminescence patterns of a cell containing 0.5 wt. % coumarin 6. It breaks down at large emission angles. Measured spectral changes suggest that the discrepancy is due to self-absorption and re-emission.

  16. Tilted dipole model for bias-dependent photoluminescence pattern

    International Nuclear Information System (INIS)

    Fujieda, Ichiro; Suzuki, Daisuke; Masuda, Taishi

    2014-01-01

    In a guest-host system containing elongated dyes and a nematic liquid crystal, both molecules are aligned to each other. An external bias tilts these molecules and the radiation pattern of the system is altered. A model is proposed to describe this bias-dependent photoluminescence patterns. It divides the liquid crystal/dye layer into sub-layers that contain electric dipoles with specific tilt angles. Each sub-layer emits linearly polarized light. Its radiation pattern is toroidal and is determined by the tilt angle. Its intensity is assumed to be proportional to the power of excitation light absorbed by the sub-layer. This is calculated by the Lambert-Beer's Law. The absorption coefficient is assumed to be proportional to the cross-section of the tilted dipole moment, in analogy to the ellipsoid of refractive index, to evaluate the cross-section for each polarized component of the excitation light. Contributions from all the sub-layers are added to give a final expression for the radiation pattern. Self-absorption is neglected. The model is simplified by reducing the number of sub-layers. Analytical expressions are derived for a simple case that consists of a single layer with tilted dipoles sandwiched by two layers with horizontally-aligned dipoles. All the parameters except for the tilt angle can be determined by measuring transmittance of the excitation light. The model roughly reproduces the bias-dependent photoluminescence patterns of a cell containing 0.5 wt. % coumarin 6. It breaks down at large emission angles. Measured spectral changes suggest that the discrepancy is due to self-absorption and re-emission

  17. A Model of Filamentous Cyanobacteria Leading to Reticulate Pattern Formation

    Directory of Open Access Journals (Sweden)

    Carlos Tamulonis

    2014-09-01

    Full Text Available The filamentous cyanobacterium, Pseudanabaena, has been shown to produce reticulate patterns that are thought to be the result of its gliding motility. Similar fossilized structures found in the geological record constitute some of the earliest signs of life on Earth. It is difficult to tie these fossils, which are billions of years old, directly to the specific microorganisms that built them. Identifying the physicochemical conditions and microorganism properties that lead microbial mats to form macroscopic structures can lead to a better understanding of the conditions on Earth at the dawn of life. In this article, a cell-based model is used to simulate the formation of reticulate patterns in cultures of Pseudanabaena. A minimal system of long and flexible trichomes capable of gliding motility is shown to be sufficient to produce stable patterns consisting of a network of streams. Varying model parameters indicate that systems with little to no cohesion, high trichome density and persistent movement are conducive to reticulate pattern formation, in conformance with experimental observations.

  18. The Educational Situation Quality Model: Recent Advances

    Science.gov (United States)

    Doménech-Betoret, Fernando

    2018-01-01

    The purpose of this work was to present an educational model developed in recent years entitled the “The Educational Situation Quality Model” (MOCSE, acronym in Spanish). MOCSE can be defined as an instructional model that simultaneously considers the teaching-learning process, where motivation plays a central role. It explains the functioning of an educational setting by organizing and relating the most important variables which, according to the literature, contribute to student learning. Besides being a conceptual framework, this model also provides a methodological procedure to guide research and to promote reflection in the classroom. It allows teachers to implement effective research-action programs to improve teacher–students satisfaction and learning outcomes in the classroom context. This work explains the model’s characteristics and functioning, recent advances, and how teachers can use it in an educational setting with a specific subject. This proposal integrates approaches from several relevant psycho-educational theories and introduces a new perspective into the existing literature that will allow researchers to make progress in studying educational setting functioning. The initial MOCSE configuration has been refined over time in accordance with the empirical results obtained from previous research, carried out within the MOCSE framework and with the subsequent reflections that derived from these results. Finally, the contribution of the model to improve learning outcomes and satisfaction, and its applicability in the classroom, are also discussed. PMID:29593623

  19. The Educational Situation Quality Model: Recent Advances

    Directory of Open Access Journals (Sweden)

    Fernando Doménech-Betoret

    2018-03-01

    Full Text Available The purpose of this work was to present an educational model developed in recent years entitled the “The Educational Situation Quality Model” (MOCSE, acronym in Spanish. MOCSE can be defined as an instructional model that simultaneously considers the teaching-learning process, where motivation plays a central role. It explains the functioning of an educational setting by organizing and relating the most important variables which, according to the literature, contribute to student learning. Besides being a conceptual framework, this model also provides a methodological procedure to guide research and to promote reflection in the classroom. It allows teachers to implement effective research-action programs to improve teacher–students satisfaction and learning outcomes in the classroom context. This work explains the model’s characteristics and functioning, recent advances, and how teachers can use it in an educational setting with a specific subject. This proposal integrates approaches from several relevant psycho-educational theories and introduces a new perspective into the existing literature that will allow researchers to make progress in studying educational setting functioning. The initial MOCSE configuration has been refined over time in accordance with the empirical results obtained from previous research, carried out within the MOCSE framework and with the subsequent reflections that derived from these results. Finally, the contribution of the model to improve learning outcomes and satisfaction, and its applicability in the classroom, are also discussed.

  20. Image decomposition model Shearlet-Hilbert-L2 with better performance for denoising in ESPI fringe patterns.

    Science.gov (United States)

    Xu, Wenjun; Tang, Chen; Su, Yonggang; Li, Biyuan; Lei, Zhenkun

    2018-02-01

    In this paper, we propose an image decomposition model Shearlet-Hilbert-L 2 with better performance for denoising in electronic speckle pattern interferometry (ESPI) fringe patterns. In our model, the low-density fringes, high-density fringes, and noise are, respectively, described by shearlet smoothness spaces, adaptive Hilbert space, and L 2 space and processed individually. Because the shearlet transform has superior directional sensitivity, our proposed Shearlet-Hilbert-L 2 model achieves commendable filtering results for various types of ESPI fringe patterns, including uniform density fringe patterns, moderately variable density fringe patterns, and greatly variable density fringe patterns. We evaluate the performance of our proposed Shearlet-Hilbert-L 2 model via application to two computer-simulated and nine experimentally obtained ESPI fringe patterns with various densities and poor quality. Furthermore, we compare our proposed model with windowed Fourier filtering and coherence-enhancing diffusion, both of which are the state-of-the-art methods for ESPI fringe patterns denoising in transform domain and spatial domain, respectively. We also compare our proposed model with the previous image decomposition model BL-Hilbert-L 2 .

  1. Blind image quality evaluation using the conditional histogram patterns of divisive normalization transform coefficients

    Science.gov (United States)

    Chu, Ying; Mou, Xuanqin; Yu, Hengyong

    2017-09-01

    A novel code book based framework for blind image quality assessment is developed. The code words are designed according to the image pattern of joint conditional histograms among neighboring divisive normalization transform coefficients in degraded images. By extracting high dimensional perceptual features from different subjective score levels in the sample database, and by clustering the features to their centroids, the conditional histogram based code book is constructed. Objective image quality score is calculated by comparing the distances between extracted features and the code words. Experiments are performed on most current databases, and the results confirm the effectiveness and feasibility of the proposed approach.

  2. Labour Quality Model for Organic Farming Food Chains

    OpenAIRE

    Gassner, B.; Freyer, B.; Leitner, H.

    2008-01-01

    The debate on labour quality in science is controversial as well as in the organic agriculture community. Therefore, we reviewed literature on different labour quality models and definitions, and had key informant interviews on labour quality issues with stakeholders in a regional oriented organic agriculture bread food chain. We developed a labour quality model with nine quality categories and discussed linkages to labour satisfaction, ethical values and IFOAM principles.

  3. Morphogenesis and pattern formation in biological systems experiments and models

    CERN Document Server

    Noji, Sumihare; Ueno, Naoto; Maini, Philip

    2003-01-01

    A central goal of current biology is to decode the mechanisms that underlie the processes of morphogenesis and pattern formation. Concerned with the analysis of those phenomena, this book covers a broad range of research fields, including developmental biology, molecular biology, plant morphogenesis, ecology, epidemiology, medicine, paleontology, evolutionary biology, mathematical biology, and computational biology. In Morphogenesis and Pattern Formation in Biological Systems: Experiments and Models, experimental and theoretical aspects of biology are integrated for the construction and investigation of models of complex processes. This collection of articles on the latest advances by leading researchers not only brings together work from a wide spectrum of disciplines, but also provides a stepping-stone to the creation of new areas of discovery.

  4. Modeling patterns of hot water use in households

    Energy Technology Data Exchange (ETDEWEB)

    Lutz, J.D.; Liu, Xiaomin; McMahon, J.E. [and others

    1996-11-01

    This report presents a detailed model of hot water use patterns in individual household. The model improves upon an existing model by including the effects of four conditions that were previously unaccounted for: the absence of a clothes washer; the absence of a dishwasher; a household consisting of seniors only; and a household that does not pay for its own hot water use. Although these four conditions can significantly affect residential hot water use, and have been noted in other studies, this is the first time that they have been incorporated into a detailed model. This model allows detailed evaluation of the impact of potential efficiency standards for water heaters and other market transformation policies. 21 refs., 3 figs., 10 tabs.

  5. Modeling patterns of hot water use in households

    Energy Technology Data Exchange (ETDEWEB)

    Lutz, James D.; Liu, Xiaomin; McMahon, James E.; Dunham, Camilla; Shown, Leslie J.; McCure, Quandra T.

    1996-01-01

    This report presents a detailed model of hot water use patterns in individual households. The model improves upon an existing model by including the effects of four conditions that were previously unaccounted for: the absence of a clothes washer; the absence of a dishwasher; a household consisting of seniors only; and a household that does not pay for its own hot water use. Although these four conditions can significantly affect residential hot water use, and have been noted in other studies, this is the first time that they have been incorporated into a detailed model. This model allows detailed evaluation of the impact of potential efficiency standards for water heaters and other market transformation policies.

  6. General Business Model Patterns for Local Energy Management Concepts

    International Nuclear Information System (INIS)

    Facchinetti, Emanuele; Sulzer, Sabine

    2016-01-01

    The transition toward a more sustainable global energy system, significantly relying on renewable energies and decentralized energy systems, requires a deep reorganization of the energy sector. The way how energy services are generated, delivered, and traded is expected to be very different in the coming years. Business model innovation is recognized as a key driver for the successful implementation of the energy turnaround. This work contributes to this topic by introducing a heuristic methodology easing the identification of general business model patterns best suited for Local Energy Management concepts such as Energy Hubs. A conceptual framework characterizing the Local Energy Management business model solution space is developed. Three reference business model patterns providing orientation across the defined solution space are identified, analyzed, and compared. Through a market review, a number of successfully implemented innovative business models have been analyzed and allocated within the defined solution space. The outcomes of this work offer to potential stakeholders a starting point and guidelines for the business model innovation process, as well as insights for policy makers on challenges and opportunities related to Local Energy Management concepts.

  7. General business model patterns for Local Energy Management concepts

    Directory of Open Access Journals (Sweden)

    Emanuele eFacchinetti

    2016-03-01

    Full Text Available The transition towards a more sustainable global energy system, significantly relying on renewable energies and decentralized energy systems, requires a deep reorganization of the energy sector. The way how energy services are generated, delivered and traded is expected to be very different in the coming years. Business model innovation is recognized as a key driver for the successful implementation of the energy turnaround. This work contributes to this topic by introducing a heuristic methodology easing the identification of general business model patterns best suited for Local Energy Management concepts such as Energy Hubs. A conceptual framework characterizing the Local Energy Management business model solution space is developed. Three reference business model patterns providing orientation across the defined solution space are identified, analyzed and compared. Through a market review a number of successfully implemented innovative business models have been analyzed and allocated within the defined solution space. The outcomes of this work offer to potential stakeholders a starting point and guidelines for the business model innovation process, as well as insights for policy makers on challenges and opportunities related to Local Energy Management concepts.

  8. Modelling spatial patterns of urban growth in Africa

    Science.gov (United States)

    Linard, Catherine; Tatem, Andrew J.; Gilbert, Marius

    2013-01-01

    The population of Africa is predicted to double over the next 40 years, driving exceptionally high urban expansion rates that will induce significant socio-economic, environmental and health changes. In order to prepare for these changes, it is important to better understand urban growth dynamics in Africa and better predict the spatial pattern of rural-urban conversions. Previous work on urban expansion has been carried out at the city level or at the global level with a relatively coarse 5–10 km resolution. The main objective of the present paper was to develop a modelling approach at an intermediate scale in order to identify factors that influence spatial patterns of urban expansion in Africa. Boosted Regression Tree models were developed to predict the spatial pattern of rural-urban conversions in every large African city. Urban change data between circa 1990 and circa 2000 available for 20 large cities across Africa were used as training data. Results showed that the urban land in a 1 km neighbourhood and the accessibility to the city centre were the most influential variables. Results obtained were generally more accurate than results obtained using a distance-based urban expansion model and showed that the spatial pattern of small, compact and fast growing cities were easier to simulate than cities with lower population densities and a lower growth rate. The simulation method developed here will allow the production of spatially detailed urban expansion forecasts for 2020 and 2025 for Africa, data that are increasingly required by global change modellers. PMID:25152552

  9. Exchange bias of patterned systems: Model and numerical simulation

    International Nuclear Information System (INIS)

    Garcia, Griselda; Kiwi, Miguel; Mejia-Lopez, Jose; Ramirez, Ricardo

    2010-01-01

    The magnitude of the exchange bias field of patterned systems exhibits a notable increase in relation to the usual bilayer systems, where a continuous ferromagnetic film is deposited on an antiferromagnet insulator. Here we develop a model, and implement a Monte Carlo calculation, to interpret the experimental observations which is consistent with experimental results, on the basis of assuming a small fraction of spins pinned ferromagnetically in the antiferromagnetic interface layer.

  10. Data Acquisition for Quality Loss Function Modelling

    DEFF Research Database (Denmark)

    Pedersen, Søren Nygaard; Howard, Thomas J.

    2016-01-01

    Quality loss functions can be a valuable tool when assessing the impact of variation on product quality. Typically, the input for the quality loss function would be a measure of the varying product performance and the output would be a measure of quality. While the unit of the input is given by t...

  11. River water quality model no. 1 (RWQM1): I. Modelling approach

    DEFF Research Database (Denmark)

    Shanahan, P.; Borchardt, D.; Henze, Mogens

    2001-01-01

    Successful river water quality modelling requires the specification of an appropriate model structure and process formulation. Both must be related to the compartment structure of running water ecosystems including their longitudinal, vertical, and lateral zonation patterns. Furthermore......, the temporal variability of abiotic boundary conditions may be important and must be incorporated by an appropriate choice of model parameters. A six-step decision procedure is proposed to achieve these objectives. The steps address the determination of the following model features: (1) temporal representation...... (dynamic or steady-state); (2) model dimensionality; (3) mixing; (4) advection; (5) reaction terms; and (6) boundary conditions. Numerical criteria based on process time constants and length scales provide a basis for these decisions....

  12. Associations of key diet-quality indexes with mortality in the Multiethnic Cohort: the Dietary Patterns Methods Project.

    Science.gov (United States)

    Harmon, Brook E; Boushey, Carol J; Shvetsov, Yurii B; Ettienne, Reynolette; Reedy, Jill; Wilkens, Lynne R; Le Marchand, Loic; Henderson, Brian E; Kolonel, Laurence N

    2015-03-01

    Healthy dietary patterns have been linked positively with health and longevity. However, prospective studies in diverse populations in the United States addressing dietary patterns and mortality are limited. We assessed the ability of the following 4 diet-quality indexes [the Healthy Eating Index-2010 (HEI-2010), the Alternative HEI-2010 (AHEI-2010), the alternate Mediterranean diet score (aMED), and the Dietary Approaches to Stop Hypertension (DASH)] to predict the reduction in risk of mortality from all causes, cardiovascular disease (CVD), and cancer. White, African American, Native Hawaiian, Japanese American, and Latino adults (n = 215,782) from the Multiethnic Cohort completed a quantitative food-frequency questionnaire. Scores for each dietary index were computed and divided into quintiles for men and women. Mortality was documented over 13-18 y of follow-up. HRs and 95% CIs were computed by using adjusted Cox models. High HEI-2010, AHEI-2010, aMED, and DASH scores were all inversely associated with risk of mortality from all causes, CVD, and cancer in both men and women (P-trend dietary pattern that achieves a high diet-quality index score is associated with lower risk of mortality from all causes, CVD, and cancer in adult men and women. © 2015 American Society for Nutrition.

  13. Air Quality – monitoring and modelling

    Directory of Open Access Journals (Sweden)

    Marius DEACONU

    2012-12-01

    Full Text Available Air pollution is a major concern for all nations, regardless of their development. The rapid growth of the industrial sector and urban development have lead to significant quantities of substances and toxic materials, mostly discharged into the atmosphere and having adverse effects both on human health and environment in general. Human society has to recognize that environment has only a limited capacity to process all of its waste without major changes. Each of us is a pollutant but also a victim of pollution. If monitoring of air pollutants is particularly important for assessing the air quality at any moment, by modelling the monitoring data spectacular results are obtained both through the factor analysis and identification of potential pollution mitigation measures. Latest equipment and techniques come and support these problems giving medium and long term solutions.

  14. Evaluating NOx emission inventories for regulatory air quality modeling using satellite and air quality model data

    Science.gov (United States)

    Kemball-Cook, Susan; Yarwood, Greg; Johnson, Jeremiah; Dornblaser, Bright; Estes, Mark

    2015-09-01

    The purpose of this study was to assess the accuracy of NOx emissions in the Texas Commission on Environmental Quality's (TCEQ) State Implementation Plan (SIP) modeling inventories of the southeastern U.S. We used retrieved satellite tropospheric NO2 columns from the Ozone Monitoring Instrument (OMI) together with NO2 columns from the Comprehensive Air Quality Model with Extensions (CAMx) to make top-down NOx emissions estimates using the mass balance method. Two different top-down NOx emissions estimates were developed using the KNMI DOMINO v2.0 and NASA SP2 retrievals of OMI NO2 columns. Differences in the top-down NOx emissions estimates made with these two operational products derived from the same OMI radiance data were sufficiently large that they could not be used to constrain the TCEQ NOx emissions in the southeast. The fact that the two available operational NO2 column retrievals give such different top-down NOx emissions results is important because these retrievals are increasingly being used to diagnose air quality problems and to inform efforts to solve them. These results reflect the fact that NO2 column retrievals are a blend of measurements and modeled data and should be used with caution in analyses that will inform policy development. This study illustrates both benefits and challenges of using satellite NO2 data for air quality management applications. Comparison with OMI NO2 columns pointed the way toward improvements in the CAMx simulation of the upper troposphere, but further refinement of both regional air quality models and the NO2 column retrievals is needed before the mass balance and other emission inversion methods can be used to successfully constrain NOx emission inventories used in U.S. regulatory modeling.

  15. Pattern formation and traveling waves in myxobacteria: Theory and modeling

    Science.gov (United States)

    Igoshin, Oleg A.; Mogilner, Alex; Welch, Roy D.; Kaiser, Dale; Oster, George

    2001-01-01

    Recent experiments have provided new quantitative measurements of the rippling phenomenon in fields of developing myxobacteria cells. These measurements have enabled us to develop a mathematical model for the ripple phenomenon on the basis of the biochemistry of the C-signaling system, whereby individuals signal by direct cell contact. The model quantitatively reproduces all of the experimental observations and illustrates how intracellular dynamics, contact-mediated intercellular communication, and cell motility can coordinate to produce collective behavior. This pattern of waves is qualitatively different from that observed in other social organisms, especially Dictyostelium discoideum, which depend on diffusible morphogens. PMID:11752439

  16. A critical study of quality parameters in health care establishment: developing an integrated quality model

    NARCIS (Netherlands)

    Azam, M.; Rahman, Z.; Talib, F.; Singh, K.J.

    2012-01-01

    PURPOSE: The purpose of this article is to identify and critically analyze healthcare establishment (HCE) quality parameters described in the literature. It aims to propose an integrated quality model that includes technical quality and associated supportive quality parameters to achieve optimum

  17. How do architecture patterns and tactics interact? A model and annotation

    NARCIS (Netherlands)

    Harrison, Neil B.; Avgeriou, Paris

    2010-01-01

    Software architecture designers inevitably work with both architecture patterns and tactics. Architecture patterns describe the high-level structure and behavior of software systems as the solution to multiple system requirements, whereas tactics are design decisions that improve individual quality

  18. No Reference Video-Quality-Assessment Model for Monitoring Video Quality of IPTV Services

    Science.gov (United States)

    Yamagishi, Kazuhisa; Okamoto, Jun; Hayashi, Takanori; Takahashi, Akira

    Service providers should monitor the quality of experience of a communication service in real time to confirm its status. To do this, we previously proposed a packet-layer model that can be used for monitoring the average video quality of typical Internet protocol television content using parameters derived from transmitted packet headers. However, it is difficult to monitor the video quality per user using the average video quality because video quality depends on the video content. To accurately monitor the video quality per user, a model that can be used for estimating the video quality per video content rather than the average video quality should be developed. Therefore, to take into account the impact of video content on video quality, we propose a model that calculates the difference in video quality between the video quality of the estimation-target video and the average video quality estimated using a packet-layer model. We first conducted extensive subjective quality assessments for different codecs and video sequences. We then model their characteristics based on parameters related to compression and packet loss. Finally, we verify the performance of the proposed model by applying it to unknown data sets different from the training data sets used for developing the model.

  19. ISO 9000 and the total quality management models

    OpenAIRE

    Pacios Lozano, Ana Reyes

    1997-01-01

    Establishes the most outstanding differences between the ISO 9000 norms and total quality management as forms or manners of managing quality used in some information services. Compares two models of total quality: European Foundation far Quality Management and Malcolm Baldrige Awards.

  20. Using visual analytics model for pattern matching in surveillance data

    Science.gov (United States)

    Habibi, Mohammad S.

    2013-03-01

    In a persistent surveillance system huge amount of data is collected continuously and significant details are labeled for future references. In this paper a method to summarize video data as a result of identifying events based on these tagged information is explained, leading to concise description of behavior within a section of extended recordings. An efficient retrieval of various events thus becomes the foundation for determining a pattern in surveillance system observations, both in its extended and fragmented versions. The patterns consisting of spatiotemporal semantic contents are extracted and classified by application of video data mining on generated ontology, and can be matched based on analysts interest and rules set forth for decision making. The proposed extraction and classification method used in this paper uses query by example for retrieving similar events containing relevant features, and is carried out by data aggregation. Since structured data forms majority of surveillance information this Visual Analytics model employs KD-Tree approach to group patterns in variant space and time, thus making it convenient to identify and match any abnormal burst of pattern detected in a surveillance video. Several experimental video were presented to viewers to analyze independently and were compared with the results obtained in this paper to demonstrate the efficiency and effectiveness of the proposed technique.

  1. Spiking patterns of a hippocampus model in electric fields

    International Nuclear Information System (INIS)

    Men Cong; Wang Jiang; Qin Ying-Mei; Wei Xi-Le; Deng Bin; Che Yan-Qiu

    2011-01-01

    We develop a model of CA3 neurons embedded in a resistive array to mimic the effects of electric fields from a new perspective. Effects of DC and sinusoidal electric fields on firing patterns in CA3 neurons are investigated in this study. The firing patterns can be switched from no firing pattern to burst or from burst to fast periodic firing pattern with the increase of DC electric field intensity. It is also found that the firing activities are sensitive to the frequency and amplitude of the sinusoidal electric field. Different phase-locking states and chaotic firing regions are observed in the parameter space of frequency and amplitude. These findings are qualitatively in accordance with the results of relevant experimental and numerical studies. It is implied that the external or endogenous electric field can modulate the neural code in the brain. Furthermore, it is helpful to develop control strategies based on electric fields to control neural diseases such as epilepsy. (interdisciplinary physics and related areas of science and technology)

  2. The Association between Parent Diet Quality and Child Dietary Patterns in Nine- to Eleven-Year-Old Children from Dunedin, New Zealand.

    Science.gov (United States)

    Davison, Brittany; Saeedi, Pouya; Black, Katherine; Harrex, Harriet; Haszard, Jillian; Meredith-Jones, Kim; Quigg, Robin; Skeaff, Sheila; Stoner, Lee; Wong, Jyh Eiin; Skidmore, Paula

    2017-05-11

    Previous research investigating the relationship between parents' and children's diets has focused on single foods or nutrients, and not on global diet, which may be more important for good health. The aim of the study was to investigate the relationship between parental diet quality and child dietary patterns. A cross-sectional survey was conducted in 17 primary schools in Dunedin, New Zealand. Information on food consumption and related factors in children and their primary caregiver/parent were collected. Principal component analysis (PCA) was used to investigate dietary patterns in children and diet quality index (DQI) scores were calculated in parents. Relationships between parental DQI and child dietary patterns were examined in 401 child-parent pairs using mixed regression models. PCA generated two patterns; 'Fruit and Vegetables' and 'Snacks'. A one unit higher parental DQI score was associated with a 0.03SD (CI: 0.02, 0.04) lower child 'Snacks' score. There was no significant relationship between 'Fruit and Vegetables' score and parental diet quality. Higher parental diet quality was associated with a lower dietary pattern score in children that was characterised by a lower consumption frequency of confectionery, chocolate, cakes, biscuits and savoury snacks. These results highlight the importance of parental modelling, in terms of their dietary choices, on the diet of children.

  3. The Association between Parent Diet Quality and Child Dietary Patterns in Nine- to Eleven-Year-Old Children from Dunedin, New Zealand

    Directory of Open Access Journals (Sweden)

    Brittany Davison

    2017-05-01

    Full Text Available Previous research investigating the relationship between parents’ and children’s diets has focused on single foods or nutrients, and not on global diet, which may be more important for good health. The aim of the study was to investigate the relationship between parental diet quality and child dietary patterns. A cross-sectional survey was conducted in 17 primary schools in Dunedin, New Zealand. Information on food consumption and related factors in children and their primary caregiver/parent were collected. Principal component analysis (PCA was used to investigate dietary patterns in children and diet quality index (DQI scores were calculated in parents. Relationships between parental DQI and child dietary patterns were examined in 401 child-parent pairs using mixed regression models. PCA generated two patterns; ‘Fruit and Vegetables’ and ‘Snacks’. A one unit higher parental DQI score was associated with a 0.03SD (CI: 0.02, 0.04 lower child ‘Snacks’ score. There was no significant relationship between ‘Fruit and Vegetables’ score and parental diet quality. Higher parental diet quality was associated with a lower dietary pattern score in children that was characterised by a lower consumption frequency of confectionery, chocolate, cakes, biscuits and savoury snacks. These results highlight the importance of parental modelling, in terms of their dietary choices, on the diet of children.

  4. A study on family communication pattern and parenting styles with quality of life in adolescent.

    Science.gov (United States)

    Sanavi, Fariba Shahhraki; Baghbanian, Abdolvahab; Shovey, Mehdi Faraji; Ansari-Moghaddam, Alireza

    2013-11-01

    To investigate the relationship between parenting styles and family communication patterns with adolescent's quality of life. The cross-sectional study was carried out on 439 randomly selected adolescents in the city of Zahedan, Iran, from January to July 2011.The subjects were asked to complete the KIDSCREEN-52 health-related quality of life questionnaire, while their parents were asked to complete the Diana Brinder's Test to show their parenting styles. SPSS 15 was used to analyse data. Most parents had 'authoritative' parenting style (n = 380; 86.6%). Pluralistic (n = 170; 38.7%) and consensual (n = 152; 34.6%) patterns were the most frequent styles of communication in families. Data suggested a significant relationship between parenting style and some dimensions of quality of life, including physical well-being, psychological well-being, social support and peers, and autonomy (p parent relation and home life (p quality-of-life. Effort should be made to address problems facing parents while raising their children.

  5. Modeling of metal nanocluster growth on patterned substrates and surface pattern formation under ion bombardment

    Energy Technology Data Exchange (ETDEWEB)

    Numazawa, Satoshi

    2012-11-01

    This work addresses the metal nanocluster growth process on prepatterned substrates, the development of atomistic simulation method with respect to an acceleration of the atomistic transition states, and the continuum model of the ion-beam inducing semiconductor surface pattern formation mechanism. Experimentally, highly ordered Ag nanocluster structures have been grown on pre-patterned amorphous SiO{sub 2} surfaces by oblique angle physical vapor deposition at room temperature. Despite the small undulation of the rippled surface, the stripe-like Ag nanoclusters are very pronounced, reproducible and well-separated. The first topic is the investigation of this growth process with a continuum theoretical approach to the surface gas condensation as well as an atomistic cluster growth model. The atomistic simulation model is a lattice-based kinetic Monte-Carlo (KMC) method using a combination of a simplified inter-atomic potential and experimental transition barriers taken from the literature. An effective transition event classification method is introduced which allows a boost factor of several thousand compared to a traditional KMC approach, thus allowing experimental time scales to be modeled. The simulation predicts a low sticking probability for the arriving atoms, millisecond order lifetimes for single Ag monomers and {approx}1 nm square surface migration ranges of Ag monomers. The simulations give excellent reproduction of the experimentally observed nanocluster growth patterns. The second topic specifies the acceleration scheme utilized in the metallic cluster growth model. Concerning the atomistic movements, a classical harmonic transition state theory is considered and applied in discrete lattice cells with hierarchical transition levels. The model results in an effective reduction of KMC simulation steps by utilizing a classification scheme of transition levels for thermally activated atomistic diffusion processes. Thermally activated atomistic movements

  6. Latent Feature Models for Uncovering Human Mobility Patterns from Anonymized User Location Traces with Metadata

    KAUST Repository

    Alharbi, Basma Mohammed

    2017-04-10

    of incomplete user-location check-ins. To assess the quality of the new representation spaces for each model, evaluation is done using an external application, social link prediction, in addition to case studies and analysis of inferred patterns. Each proposed model is compared to baseline models, where results show significant improvements.

  7. A universal model for mobility and migration patterns.

    Science.gov (United States)

    Simini, Filippo; González, Marta C; Maritan, Amos; Barabási, Albert-László

    2012-02-26

    Introduced in its contemporary form in 1946 (ref. 1), but with roots that go back to the eighteenth century, the gravity law is the prevailing framework with which to predict population movement, cargo shipping volume and inter-city phone calls, as well as bilateral trade flows between nations. Despite its widespread use, it relies on adjustable parameters that vary from region to region and suffers from known analytic inconsistencies. Here we introduce a stochastic process capturing local mobility decisions that helps us analytically derive commuting and mobility fluxes that require as input only information on the population distribution. The resulting radiation model predicts mobility patterns in good agreement with mobility and transport patterns observed in a wide range of phenomena, from long-term migration patterns to communication volume between different regions. Given its parameter-free nature, the model can be applied in areas where we lack previous mobility measurements, significantly improving the predictive accuracy of most of the phenomena affected by mobility and transport processes.

  8. Nutritional quality and patterns of lunch menus at child care centers in South Korea and Japan.

    Science.gov (United States)

    Kwon, Sooyoun; Yeoh, Yoonjae; Abe, Satoko

    2018-01-01

    This study aimed to investigate the nutritional quality and patterns of lunch menus provided by child care centers in South Korea and Japan. The weekly lunch menus from Monday to Saturday that child care centers provided in November 2014 in South Korea and Japan were analyzed. For Korea, a total of 72 meals provided by 12 centers in Seoul were analyzed by referring to the homepage of the Center for Children's Foodservice Management, which serviced menus for child care centers. For Japan, a total of 30 meals provided by 5 child care centers in Tokyo were analyzed. Nutrient content and pattern in lunch menus were evaluated. The lunch menus in Korea and Japan provided 359.5 kcal (25.7% of the estimated energy requirement) and 376.3 kcal (29.5% of the estimated energy requirement), respectively. 'Rice + Soup + Main dish + Side dish I + Side dish II' were provided in 66.7% of meals in Korea, while various patterns with rice and soup as their bases were provided in Japan. The lunch menus of child care centers in Korea and Japan provide similar amounts of energy, protein, carbohydrate, vitamin A, calcium, and other nutrients. However, there were significant differences in the lunch menu patterns in Korea and Japan. This study provides information about the nutritional content and pattern of lunch menus at child care centers in Asian countries with rice as a staple food.

  9. Automated low-contrast pattern recognition algorithm for magnetic resonance image quality assessment.

    Science.gov (United States)

    Ehman, Morgan O; Bao, Zhonghao; Stiving, Scott O; Kasam, Mallik; Lanners, Dianna; Peterson, Teresa; Jonsgaard, Renee; Carter, Rickey; McGee, Kiaran P

    2017-08-01

    Low contrast (LC) detectability is a common test criterion for diagnostic radiologic quality control (QC) programs. Automation of this test is desirable in order to reduce human variability and to speed up analysis. However, automation is challenging due to the complexity of the human visual perception system and the ability to create algorithms that mimic this response. This paper describes the development and testing of an automated LC detection algorithm for use in the analysis of magnetic resonance (MR) images of the American College of Radiology (ACR) QC phantom. The detection algorithm includes fuzzy logic decision processes and various edge detection methods to quantify LC detectability. Algorithm performance was first evaluated using a single LC phantom MR image with the addition of incremental zero mean Gaussian noise resulting in a total of 200 images. A c-statistic was calculated to determine the role of CNR to indicate when the algorithm would detect ten spokes. To evaluate inter-rater agreement between experienced observers and the algorithm, a blinded observer study was performed on 196 LC phantom images acquired from nine clinical MR scanners. The nine scanners included two MR manufacturers and two field strengths (1.5 T, 3.0 T). Inter-rater and algorithm-rater agreement was quantified using Krippendorff's alpha. For the Gaussian noise added data, CNR ranged from 0.519 to 11.7 with CNR being considered an excellent discriminator of algorithm performance (c-statistic = 0.9777). Reviewer scoring of the clinical phantom data resulted in an inter-rater agreement of 0.673 with the agreement between observers and algorithm equal to 0.652, both of which indicate significant agreement. This study demonstrates that the detection of LC test patterns for MR imaging QC programs can be successfully developed and that their response can model the human visual detection system of expert MR QC readers. © 2017 American Association of Physicists in Medicine.

  10. Effects of maternal diet and host quality on oviposition patterns and offspring performance in a seed beetle (Coleoptera: Bruchidae)

    Science.gov (United States)

    González-Teuber, Marcia; Segovia, Ricardo; Gianoli, Ernesto

    2008-07-01

    In seed beetles, oviposition decisions may influence the offspring phenotype because eggs constitute the initial resources available for larval development. We tested the effects of host quality variations (small vs. large seeds of the host plant Calystegia sepium, Convolvulaceae) on oviposition patterns and offspring performance of the seed beetle Megacerus eulophus. We also manipulated the maternal diet: high diet quality vs. low diet quality to evaluate possible interactive effects of the maternal nutritional environment and host quality on oviposition patterns. We further assessed the consequences of egg size variation in offspring size. Female M. eulophus fed with high-quality diet (H-diet) laid more eggs and lived longer than females fed with low-quality diet (P-diet). Fecundity decreased under a low-quality host for both maternal diets. The occurrence of maternal environmental effects on egg size plasticity was detected. Under conditions of low-quality host, mothers fed with the high-quality diet produced bigger eggs in comparison with a high-quality host, whereas females fed with the low-quality diet produced smaller ones. Regardless of these differences observed in egg size depending on the maternal diet, progeny emerging from small seeds (low-quality host) showed a similar performance at emergence. Offspring traits were only significantly affected by host quality. Beetles emerging from large seeds had greater body weight and length than those reared on small seeds. Variations in oviposition patterns in response to host quality are discussed.

  11. Spatial Pattern, Transportation and Air Quality Nexus: The Case of Iskandar Malaysia

    Directory of Open Access Journals (Sweden)

    Azalia Mohd Yusop

    2016-09-01

    Full Text Available Spatial pattern, transportation, and air quality are three development entities which significantly affecting one another. This nexus exhibits the urbanization imprint accouter transportation generating air pollution as a reflection of spatial distribution. The integration among them is a vital part of development as it affects the societal living environment. It provides unfavorable air quality and directly cause health problems. The developing region of Iskandar Malaysia exhibits huge spatial distribution transformation accompanied by large percentage of urbanization rate, but seems less integration of land use and transportation planning which causes the exaggeration of air pollution. We carry out the research on the nexus of spatial distribution, transportation and air quality in Iskandar Malaysia by analyzing and evaluating the interconnectivity of these three entities. The spatial analysis and evaluation on the land use development pattern and spatial policy shows that the Iskandar development region are growing in the polycentric manners, where the spatial development policy drives the distributional growth of new sub-centers. We undertook a household-based travel survey that reveals the poly-centricity reflected by the de-concentration of workplaces which shifted from the single point towards multiple centers. On the other hand, this phenomenon has created a distributional traffic pattern amid the high dependency on the private vehicles of the citizens in Iskandar Malaysia. With a predominantly fossil fuel consuming vehicles, this has generated air pollution. Based on the traffic survey and the dependency of the citizens on private cars for their daily mobility, the concentration of air pollution is seemingly at risk. This research reflects that Iskandar Malaysia development region currently undergoes towards polycentric development with some new urban centers. We found that land use and transportation planning policies require serious

  12. Effect of Cutting Pattern and Fertilization Level on Species Diversity and Evaluation of Grassland Quality

    Directory of Open Access Journals (Sweden)

    Josef Raus

    2014-01-01

    Full Text Available The effects of fertilization level and cutting pattern on the species diversity and quality of a meadow stand were assessed in 2004–2012 in the small plot trial established in 2003 in Vatín, Vysočina Region, Czech Republic. Four levels of fertilization (none; N0 + P30 + K60 kg∙ha−1; N90 + P30 + K60 kg∙ha−1; N180 + P30 + K60 kg∙ha−1 were combined with four treatments of exploitation intensity (4 cuts per year, first cut on 15th May, every next after 45 days; 3 cuts per year, first cut on 30th May, every next after 60 days; 2 cuts per year, first cut on 15th June, next after 90 days; 2 cuts per year, first cut on 30th June, next after 90 days. Numbers of species, Simpson’s diversity index and evaluation of grassland quality according to Novák (2004 were evaluated. Numbers of species and Simpson’s diversity index were significantly affected by both fertilization level and cutting pattern. Species richness decreased along with increasing fertilization rates from 29.4 (no fertilization to 27.8 (N180PK. When comparing cutting pattern treatments the highest species richness was found in four-cut swards (29.6 in average of fertilization levels and it declines towards late double-cut regime (27.2. The Simpson’s index generally increased from two-cut swards to four-cut and from fertilized treatments to control. Grassland quality was significantly affected by cutting pattern. Values increased from four-cut swards (38.1 to two-cut ones (43.8 and 44.0 in early and late harvest respectively.

  13. Modeling flooding patterns in the Kafue Flats, Zambia

    Science.gov (United States)

    Meier, Philipp; Kinzelbach, Wolfgang

    2010-05-01

    The Kafue Flats is one of the most important wetlands in Zambia. In the early 70's the Kafue Gorge reservoir was built mainly for hydropower production not far downstream the outlet of the Kafue Flats. Only a few years later a dam was constructed upstream the Flats to extend the limited storage of Kafue Gorge. Besides its ecological value the Kafue Flats are also important economically. Around 700 000 people are dependent mainly on fisheries and flood recession agriculture. An increasing number of large irrigation schemes are drawing water from the Kafue river along the wetland. Floodplains in semi-arid and arid areas are often the only source of water supply available throughout the year. They provide numerous economical and ecological services of tremendous value. The ecological uniqueness of many wetlands results largely from a strong seasonality of flooding. As the pressure on water resources grows these natural seasonal patterns are often altered due to water abstractions or the construction of dams. Many efforts have been taken to restore more natural flooding patterns. To assess both, the effects of altered flow regimes and of restoration efforts, a hydrological model reproducing the dynamics of the flooding is required. However, in many cases hydrological modeling of these floodplains is often hampered by the poor availability of data. Data gathering is also limited by the large extent and the limited accessibility of the wetlands. Therefore the application of remote sensing techniques is an attractive approach. The model presented in this study is based on a relatively simple approach which was initially designed for the Okavango Delta. The model is based on the widely used software MODFLOW. However, due to a different environment and technical advances of the software there are some significant differences between the Okavango Delta model and the model presented hereafter. The model is based on MODFLOW 2005 and basically consists of two layers: a

  14. Nutrient Intake, Diet Quality, and Weight Measures in Breakfast Patterns Consumed by Children Compared with Breakfast Skippers: NHANES 2001–2008

    Science.gov (United States)

    O'Neil, Carol E.; Nicklas, Theresa A.; Fulgoni, Victor L.

    2015-01-01

    Most studies showing that children consuming breakfast have better nutrient intakes, diet quality, and lower weight than breakfast skippers have the incorrect premise that breakfast meals are homogeneous. The purpose of this study was to classify breakfast meals into patterns and determine the association of the breakfast patterns with daily and breakfast nutrient intakes, diet quality, and weight. Data from children (2–18 years of age; N = 14,200) participating in the National Health and Nutrition Examination Survey 2001–2008 were used. Intake was determined from one day 24-hour dietary recalls. Diet quality was measured using the Healthy Eating Index-2005 (HEI-2005). Body mass index (BMI) z-scores were determined. Twelve patterns (including No Breakfast [∼19% of population]), explaining 63% of the variance in energy from breakfast, were examined. Covariate adjusted general linear models were used to compare outcome variables of consumers of different patterns with breakfast skippers. The p value was Bonferroni corrected (breakfast skippers. Consumers of most breakfast patterns showed higher daily intakes of some nutrients of public health concern (dietary fiber, vitamin D, calcium, and potassium); however, those consuming the Grain or MPF/Grain/FJ pattern did not. Consumers of the Grain/Lower Fat Milk (LFM)/Sweets/FJ, Presweetened (PS) Ready-to-eat Cereal (RTEC)/ LFM, RTEC/LFM, Cooked Cereal/Milk/FJ, and Whole Fruit patterns had higher total HEI-2005 scores than breakfast skippers; those consuming the MPF/ Grain/FJ pattern had lower diet quality than breakfast skippers. Consumption of the Grain/ LFM/Sweets/FJ, PSRTEC/whole milk, Soft Drinks/ FJ/Grain/Potatoes, RTEC/whole milk, and Cooked Cereal/ Milk/ FJ patterns was associated with lower BMI z-scores than seen in breakfast skippers. There are dietary and weight advantages of consuming breakfast, especially breakfasts that include grains, cereals, LFM, and fruit/ FJ, in contrast to the potential adverse

  15. An Overview of Quality Frameworks in Model-Driven Engineering and Observations on Transformation Quality

    OpenAIRE

    Dehlen, Vegard

    2007-01-01

    Quality is often defined as fitness for purpose which is the key property to determine when evaluating quality. This paper presents some general requirements for evaluating quality frameworks. It also discusses characteristics of MDE that are important when building a quality framework, such as its use of models in several stages of development and maintenance, and its multi-abstraction level approach that requires consistency and traceability. MDE should strive for engineering of quality int...

  16. Indoor Air Quality Building Education and Assessment Model Forms

    Science.gov (United States)

    The Indoor Air Quality Building Education and Assessment Model (I-BEAM) is a guidance tool designed for use by building professionals and others interested in indoor air quality in commercial buildings.

  17. Indoor Air Quality Building Education and Assessment Model

    Science.gov (United States)

    The Indoor Air Quality Building Education and Assessment Model (I-BEAM), released in 2002, is a guidance tool designed for use by building professionals and others interested in indoor air quality in commercial buildings.

  18. Ontology and modeling patterns for state-based behavior representation

    Science.gov (United States)

    Castet, Jean-Francois; Rozek, Matthew L.; Ingham, Michel D.; Rouquette, Nicolas F.; Chung, Seung H.; Kerzhner, Aleksandr A.; Donahue, Kenneth M.; Jenkins, J. Steven; Wagner, David A.; Dvorak, Daniel L.; hide

    2015-01-01

    This paper provides an approach to capture state-based behavior of elements, that is, the specification of their state evolution in time, and the interactions amongst them. Elements can be components (e.g., sensors, actuators) or environments, and are characterized by state variables that vary with time. The behaviors of these elements, as well as interactions among them are represented through constraints on state variables. This paper discusses the concepts and relationships introduced in this behavior ontology, and the modeling patterns associated with it. Two example cases are provided to illustrate their usage, as well as to demonstrate the flexibility and scalability of the behavior ontology: a simple flashlight electrical model and a more complex spacecraft model involving instruments, power and data behaviors. Finally, an implementation in a SysML profile is provided.

  19. A critical study of quality parameters in health care establishment: developing an integrated quality model.

    Science.gov (United States)

    Azam, Mohammad; Rahman, Zillur; Talib, Faisal; Singh, K J

    2012-01-01

    The purpose of this article is to identify and critically analyze healthcare establishment (HCE) quality parameters described in the literature. It aims to propose an integrated quality model that includes technical quality and associated supportive quality parameters to achieve optimum patient satisfaction. The authors use an extensive in-depth healthcare quality literature review, discerning gaps via a critical analysis in relation to their overall impact on patient management, while identifying an integrated quality model acceptable to hospital staff. The article provides insights into contemporary HCE quality parameters by critically analyzing relevant literature. It also evolves and proposes an integrated HCE-quality model. Owing to HCE confidentiality, especially regarding patient data, information cannot be accessed. The integrated quality model parameters have practical utility for healthcare service managers. However, further studies may be required to refine and integrate newer parameters to ensure continuous quality improvement. This article adds a new perspective to understanding quality parameters and suggests an integrated quality model that has practical value for maintaining HCE service quality to benefit many stakeholders.

  20. Fuzzy C-Means Clustering Model Data Mining For Recognizing Stock Data Sampling Pattern

    Directory of Open Access Journals (Sweden)

    Sylvia Jane Annatje Sumarauw

    2007-06-01

    Full Text Available Abstract Capital market has been beneficial to companies and investor. For investors, the capital market provides two economical advantages, namely deviden and capital gain, and a non-economical one that is a voting .} hare in Shareholders General Meeting. But, it can also penalize the share owners. In order to prevent them from the risk, the investors should predict the prospect of their companies. As a consequence of having an abstract commodity, the share quality will be determined by the validity of their company profile information. Any information of stock value fluctuation from Jakarta Stock Exchange can be a useful consideration and a good measurement for data analysis. In the context of preventing the shareholders from the risk, this research focuses on stock data sample category or stock data sample pattern by using Fuzzy c-Me, MS Clustering Model which providing any useful information jar the investors. lite research analyses stock data such as Individual Index, Volume and Amount on Property and Real Estate Emitter Group at Jakarta Stock Exchange from January 1 till December 31 of 204. 'he mining process follows Cross Industry Standard Process model for Data Mining (CRISP,. DM in the form of circle with these steps: Business Understanding, Data Understanding, Data Preparation, Modelling, Evaluation and Deployment. At this modelling process, the Fuzzy c-Means Clustering Model will be applied. Data Mining Fuzzy c-Means Clustering Model can analyze stock data in a big database with many complex variables especially for finding the data sample pattern, and then building Fuzzy Inference System for stimulating inputs to be outputs that based on Fuzzy Logic by recognising the pattern. Keywords: Data Mining, AUz..:y c-Means Clustering Model, Pattern Recognition

  1. New process for high optical quality InAs quantum dots grown on patterned GaAs(001) substrates

    International Nuclear Information System (INIS)

    Alonso-Gonzalez, Pablo; Gonzalez, Luisa; Gonzalez, Yolanda; Fuster, David; Fernandez-Martinez, Ivan; Martin-Sanchez, Javier; Abelmann, Leon

    2007-01-01

    This work presents a selective ultraviolet (UV)-ozone oxidation-chemical etching process that has been used, in combination with laser interference lithography (LIL), for the preparation of GaAs patterned substrates. Further molecular beam epitaxy (MBE) growth of InAs results in ordered InAs/GaAs quantum dot (QD) arrays with high optical quality from the first layer of QDs formed on the patterned substrate. The main result is the development of a patterning technology that allows the engineering of customized geometrical displays of QDs with the same optical quality as those formed spontaneously on flat non-patterned substrates

  2. New process for high optical quality InAs quantum dots grown on patterned GaAs(001) substrates

    Energy Technology Data Exchange (ETDEWEB)

    Alonso-Gonzalez, Pablo [Instituto de Microelectronica de Madrid (CNM, CSIC), Isaac Newton 8, 28760, Tres Cantos, Madrid (Spain); Gonzalez, Luisa [Instituto de Microelectronica de Madrid (CNM, CSIC), Isaac Newton 8, 28760, Tres Cantos, Madrid (Spain); Gonzalez, Yolanda [Instituto de Microelectronica de Madrid (CNM, CSIC), Isaac Newton 8, 28760, Tres Cantos, Madrid (Spain); Fuster, David [Instituto de Microelectronica de Madrid (CNM, CSIC), Isaac Newton 8, 28760, Tres Cantos, Madrid (Spain); Fernandez-Martinez, Ivan [Instituto de Microelectronica de Madrid (CNM, CSIC), Isaac Newton 8, 28760, Tres Cantos, Madrid (Spain); Martin-Sanchez, Javier [Instituto de Microelectronica de Madrid (CNM, CSIC), Isaac Newton 8, 28760, Tres Cantos, Madrid (Spain); Abelmann, Leon [SMI, MESA Institute of Nanotechnology, University of Twente, PO Box 217, 7500 AE, Enschede (Netherlands)

    2007-09-05

    This work presents a selective ultraviolet (UV)-ozone oxidation-chemical etching process that has been used, in combination with laser interference lithography (LIL), for the preparation of GaAs patterned substrates. Further molecular beam epitaxy (MBE) growth of InAs results in ordered InAs/GaAs quantum dot (QD) arrays with high optical quality from the first layer of QDs formed on the patterned substrate. The main result is the development of a patterning technology that allows the engineering of customized geometrical displays of QDs with the same optical quality as those formed spontaneously on flat non-patterned substrates.

  3. Sleep Patterning Changes in a Prenatal Stress Model of Depression

    DEFF Research Database (Denmark)

    Sickmann, Helle Mark; Skoven, Christian; Bastlund, Jesper Frank

    2018-01-01

    Clinical depression is accompanied by changes in sleep patterning, which is controlled in a circadian fashion. It is thus desirable that animal models of depression mirror such diurnally-specific state alterations, along with other behavioral and physiological changes. We previously found several...... changes in behavior indicative of a depression-like phenotype in offspring of rats subjected to repeated, variable prenatal stress (PNS), including increased locomotor activity during specific periods of the circadian cycle. We, therefore, investigated whether PNS rats also exhibit alterations in sleep...

  4. Mathematics in Nature Modeling Patterns in the Natural World

    CERN Document Server

    Adam, John A

    2011-01-01

    From rainbows, river meanders, and shadows to spider webs, honeycombs, and the markings on animal coats, the visible world is full of patterns that can be described mathematically. Examining such readily observable phenomena, this book introduces readers to the beauty of nature as revealed by mathematics and the beauty of mathematics as revealed in nature.Generously illustrated, written in an informal style, and replete with examples from everyday life, Mathematics in Nature is an excellent and undaunting introduction to the ideas and methods of mathematical modeling. It illustrates how mathem

  5. An Approach to Improve the Quality of Infrared Images of Vein-Patterns

    Directory of Open Access Journals (Sweden)

    Chih-Lung Lin

    2011-12-01

    Full Text Available This study develops an approach to improve the quality of infrared (IR images of vein-patterns, which usually have noise, low contrast, low brightness and small objects of interest, thus requiring preprocessing to improve their quality. The main characteristics of the proposed approach are that no prior knowledge about the IR image is necessary and no parameters must be preset. Two main goals are sought: impulse noise reduction and adaptive contrast enhancement technologies. In our study, a fast median-based filter (FMBF is developed as a noise reduction method. It is based on an IR imaging mechanism to detect the noisy pixels and on a modified median-based filter to remove the noisy pixels in IR images. FMBF has the advantage of a low computation load. In addition, FMBF can retain reasonably good edges and texture information when the size of the filter window increases. The most important advantage is that the peak signal-to-noise ratio (PSNR caused by FMBF is higher than the PSNR caused by the median filter. A hybrid cumulative histogram equalization (HCHE is proposed for adaptive contrast enhancement. HCHE can automatically generate a hybrid cumulative histogram (HCH based on two different pieces of information about the image histogram. HCHE can improve the enhancement effect on hot objects rather than background. The experimental results are addressed and demonstrate that the proposed approach is feasible for use as an effective and adaptive process for enhancing the quality of IR vein-pattern images.

  6. An approach to improve the quality of infrared images of vein-patterns.

    Science.gov (United States)

    Lin, Chih-Lung

    2011-01-01

    This study develops an approach to improve the quality of infrared (IR) images of vein-patterns, which usually have noise, low contrast, low brightness and small objects of interest, thus requiring preprocessing to improve their quality. The main characteristics of the proposed approach are that no prior knowledge about the IR image is necessary and no parameters must be preset. Two main goals are sought: impulse noise reduction and adaptive contrast enhancement technologies. In our study, a fast median-based filter (FMBF) is developed as a noise reduction method. It is based on an IR imaging mechanism to detect the noisy pixels and on a modified median-based filter to remove the noisy pixels in IR images. FMBF has the advantage of a low computation load. In addition, FMBF can retain reasonably good edges and texture information when the size of the filter window increases. The most important advantage is that the peak signal-to-noise ratio (PSNR) caused by FMBF is higher than the PSNR caused by the median filter. A hybrid cumulative histogram equalization (HCHE) is proposed for adaptive contrast enhancement. HCHE can automatically generate a hybrid cumulative histogram (HCH) based on two different pieces of information about the image histogram. HCHE can improve the enhancement effect on hot objects rather than background. The experimental results are addressed and demonstrate that the proposed approach is feasible for use as an effective and adaptive process for enhancing the quality of IR vein-pattern images.

  7. The Influence of Syntactic Quality on Pragmatic Quality of Enterprise Process Models

    Directory of Open Access Journals (Sweden)

    Merethe Heggset

    2015-12-01

    Full Text Available As approaches and tools for process and enterprise modelling are maturing, these techniques are being taken into use on a large scale in an increasing number of organizations. In this paper we report on the use of process modelling in connection to the quality system of Statoil, a large Norwegian oil company, in particular, on the aspects found necessary to be emphasized to achieve the appropriate quality of the models in this organization. Based on the investigation of usage statistics and user feedback on models, we have identified that there are problems in comprehending some of the models. Some of these models has poorer syntactic quality than the average syntactic quality of models of the same size. An experiment with improving syntactic quality on some of these models has given mixed results, and it appears that certain syntactic errors hinder comprehension more than others.

  8. A high-resolution stochastic model of domestic activity patterns and electricity demand

    International Nuclear Information System (INIS)

    Widen, Joakim; Waeckelgard, Ewa

    2010-01-01

    Realistic time-resolved data on occupant behaviour, presence and energy use are important inputs to various types of simulations, including performance of small-scale energy systems and buildings' indoor climate, use of lighting and energy demand. This paper presents a modelling framework for stochastic generation of high-resolution series of such data. The model generates both synthetic activity sequences of individual household members, including occupancy states, and domestic electricity demand based on these patterns. The activity-generating model, based on non-homogeneous Markov chains that are tuned to an extensive empirical time-use data set, creates a realistic spread of activities over time, down to a 1-min resolution. A detailed validation against measurements shows that modelled power demand data for individual households as well as aggregate demand for an arbitrary number of households are highly realistic in terms of end-use composition, annual and diurnal variations, diversity between households, short time-scale fluctuations and load coincidence. An important aim with the model development has been to maintain a sound balance between complexity and output quality. Although the model yields a high-quality output, the proposed model structure is uncomplicated in comparison to other available domestic load models.

  9. Quality Assurance Model for Digital Adult Education Materials

    Science.gov (United States)

    Dimou, Helen; Kameas, Achilles

    2016-01-01

    Purpose: This paper aims to present a model for the quality assurance of digital educational material that is appropriate for adult education. The proposed model adopts the software quality standard ISO/IEC 9126 and takes into account adult learning theories, Bloom's taxonomy of learning objectives and two instructional design models: Kolb's model…

  10. Empirically Derived Dietary Patterns in UK Adults Are Associated with Sociodemographic Characteristics, Lifestyle, and Diet Quality

    Science.gov (United States)

    Cade, Janet; Dawson, Jeremy; Holdsworth, Michelle

    2018-01-01

    The aim of this study was to examine empirical dietary patterns in UK adults and their association with sociodemographic characteristics, lifestyle factors, self-reported nutrient intake, nutrient biomarkers, and the Nutrient-based Diet Quality Score (NDQS) using National Diet and Nutrition Survey data 2008–2012 (n = 2083; mean age 49 years; 43.3% male). Four patterns explained 13.6% of the total variance: ‘Snacks, fast food, fizzy drinks’ (SFFFD), ‘Fruit, vegetables, oily fish’ (FVOF), ‘Meat, potatoes, beer’ (MPB), and ‘Sugary foods, dairy’ (SFD). ‘SFFFD’ was associated positively with: being male; smoking; body mass index (BMI); urinary sodium; intake of non-milk extrinsic sugars (NMES), fat and starch; and negatively with: age; plasma carotenoids; and NDQS. ‘FVOF’ was associated positively with: being non-white; age; income; socioeconomic classification (National Statistics Socio-economic Classifications; NSSEC); plasma carotenoids; intake of non-starch polysaccharides and polyunsaturated fatty acids. It was negatively associated with: being male, smoking, BMI, urinary sodium, intake of saturated fat; and NMES and NDQS. Whilst the patterns explained only 13.6% of the total variance, they were associated with self-reported nutrient intake, biomarkers of nutrient intake, sociodemographic and lifestyle variables, and the NDQS. These findings provide support for dietary patterns analyses as a means of exploring dietary intake in the UK population to inform public health nutrition policy and guidance. PMID:29415478

  11. Empirically Derived Dietary Patterns in UK Adults Are Associated with Sociodemographic Characteristics, Lifestyle, and Diet Quality

    Directory of Open Access Journals (Sweden)

    Katharine Roberts

    2018-02-01

    Full Text Available The aim of this study was to examine empirical dietary patterns in UK adults and their association with sociodemographic characteristics, lifestyle factors, self-reported nutrient intake, nutrient biomarkers, and the Nutrient-based Diet Quality Score (NDQS using National Diet and Nutrition Survey data 2008–2012 (n = 2083; mean age 49 years; 43.3% male. Four patterns explained 13.6% of the total variance: ‘Snacks, fast food, fizzy drinks’ (SFFFD, ‘Fruit, vegetables, oily fish’ (FVOF, ‘Meat, potatoes, beer’ (MPB, and ‘Sugary foods, dairy’ (SFD. ‘SFFFD’ was associated positively with: being male; smoking; body mass index (BMI; urinary sodium; intake of non-milk extrinsic sugars (NMES, fat and starch; and negatively with: age; plasma carotenoids; and NDQS. ‘FVOF’ was associated positively with: being non-white; age; income; socioeconomic classification (National Statistics Socio-economic Classifications; NSSEC; plasma carotenoids; intake of non-starch polysaccharides and polyunsaturated fatty acids. It was negatively associated with: being male, smoking, BMI, urinary sodium, intake of saturated fat; and NMES and NDQS. Whilst the patterns explained only 13.6% of the total variance, they were associated with self-reported nutrient intake, biomarkers of nutrient intake, sociodemographic and lifestyle variables, and the NDQS. These findings provide support for dietary patterns analyses as a means of exploring dietary intake in the UK population to inform public health nutrition policy and guidance.

  12. Transport services quality measurment using SERVQUAL model

    Directory of Open Access Journals (Sweden)

    Maksimović Mlađan V.

    2017-01-01

    Full Text Available Quality in the world is considered to be the most important phenomenon of our age, with a permanent and irreversible growing trend of its emphasis. Many companies have come to the conclusion that high quality of services can provide them with a potential competitive advantage, leading to superior sales results and profit making. The aim of this paper is to test the applicability of service SERVQUAL dimensions and measure the quality of services in the public transport of passengers. Based on the data obtained by researching the views of public transport users in Kragujevac using the SERVQUAL methodology and statistical analysis based on defined service quality dimensions, this research will show the level of quality of urban transport services in Kragujevac and based on this, make recommendations for improving the quality of service.

  13. Towards a Tool-Supported Quality Model for Model-Driven Engineering

    OpenAIRE

    Mohagheghi, Parastoo

    2008-01-01

    This paper reviews definitions of model quality before introducing five properties of models that are important for building high-quality models. These are identified to be correctness, completeness, consistency, comprehensibility and confinement. We have earlier defined a quality model that separates intangible quality goals from tangible quality-carrying properties and practices that should be in place to support these properties.  A part of that work was to define a metamodel for deve...

  14. Family Food Preparation and Its Effects on Adolescent Dietary Quality and Eating Patterns.

    Science.gov (United States)

    Berge, Jerica M; MacLehose, Richard F; Larson, Nicole; Laska, Melissa; Neumark-Sztainer, Dianne

    2016-11-01

    The purpose of the study was to describe parent and adolescent involvement in food preparation for the family and to examine whether adolescents' food preparation involvement was related to their dietary quality (e.g., fruit and vegetable intake, sugar-sweetened beverage consumption, and various common nutrients) and eating patterns (e.g., frequency of breakfast, family meals, fast food intake). Data from two linked population-based studies, Eating and Activity in Teens 2010 and Families and Eating and Activity among Teens were used in cross-sectional analyses. Mothers (n = 1,875), stepmothers (n = 18), fathers (n = 977), stepfathers (n = 105), and adolescents (n = 2,108) from socioeconomically and racially/ethnically diverse households participated in the study. Adolescents completed food frequency questionnaires and surveys in school. Parents individually completed surveys by mail or phone. Linear regression was used to estimate differences in adolescent dietary quality and eating patterns between those who do and do not engage in meal preparation. Parent and adolescent report of "usually preparing food for the family" was related to several sociodemographic characteristics, including race/ethnicity (minority populations), parent education (college or higher), parent employment status (part time or stay-at-home caregiver), household size (≤3 children), and adolescent gender (female). Adolescent involvement in food preparation for the family was significantly associated with several markers of better dietary quality and better eating patterns. In contrast, parent involvement in food preparation for the family was unrelated to adolescent dietary intake. Results suggest that involving adolescents in food preparation for the family is related to better adolescent dietary quality and eating patterns. Public health interventions and health care providers may want to encourage adolescents to help with food preparation for the family. Additionally, adolescents

  15. A simple model for research interest evolution patterns

    Science.gov (United States)

    Jia, Tao; Wang, Dashun; Szymanski, Boleslaw

    Sir Isaac Newton supposedly remarked that in his scientific career he was like ``...a boy playing on the sea-shore ...finding a smoother pebble or a prettier shell than ordinary''. His remarkable modesty and famous understatement motivate us to seek regularities in how scientists shift their research focus as the career develops. Indeed, despite intensive investigations on how microscopic factors, such as incentives and risks, would influence a scientist's choice of research agenda, little is known on the macroscopic patterns in the research interest change undertaken by individual scientists throughout their careers. Here we make use of over 14,000 authors' publication records in physics. By quantifying statistical characteristics in the interest evolution, we model scientific research as a random walk, which reproduces patterns in individuals' careers observed empirically. Despite myriad of factors that shape and influence individual choices of research subjects, we identified regularities in this dynamical process that are well captured by a simple statistical model. The results advance our understanding of scientists' behaviors during their careers and open up avenues for future studies in the science of science.

  16. Aggregation patterns from nonlocal interactions: Discrete stochastic and continuum modeling

    KAUST Repository

    Hackett-Jones, Emily J.

    2012-04-17

    Conservation equations governed by a nonlocal interaction potential generate aggregates from an initial uniform distribution of particles. We address the evolution and formation of these aggregating steady states when the interaction potential has both attractive and repulsive singularities. Currently, no existence theory for such potentials is available. We develop and compare two complementary solution methods, a continuous pseudoinverse method and a discrete stochastic lattice approach, and formally show a connection between the two. Interesting aggregation patterns involving multiple peaks for a simple doubly singular attractive-repulsive potential are determined. For a swarming Morse potential, characteristic slow-fast dynamics in the scaled inverse energy is observed in the evolution to steady state in both the continuous and discrete approaches. The discrete approach is found to be remarkably robust to modifications in movement rules, related to the potential function. The comparable evolution dynamics and steady states of the discrete model with the continuum model suggest that the discrete stochastic approach is a promising way of probing aggregation patterns arising from two- and three-dimensional nonlocal interaction conservation equations. © 2012 American Physical Society.

  17. Charecterisation and Modelling Urbanisation Pattern in Sillicon Valley of India

    Science.gov (United States)

    Aithal, B. H.

    2015-12-01

    Urbanisation and Urban sprawl has led to environmental problems and large losses of arable land in India. In this study, we characterise pattern of urban growth and model urban sprawl by means of a combination of remote sensing, geographical information system, spatial metrics and CA based modelling. This analysis uses time-series data to explore and derive the potential political-socio-economic- land based driving forces behind urbanisation and urban sprawl, and spatial models in different scenarios to explore the spatio-temporal interactions and development. The study area applied is Greater Bangalore, for the period from 1973 to 2015. Further water bodies depletion, vegetation depletion, tree cover were also analysed to obtain specific region based results effecting global climate and regional balance. Agents were integrated successfully into modelling aspects to understand and foresee the landscape pattern change in urban morphology. The results reveal built-up paved surfaces has expanded towards the outskirts and have expanded into the buffer regions around the city. Population growth, economic, industrial developments in the city core and transportation development are still the main causes of urban sprawl in the region. Agent based model are considered to be to the traditional models. Agent Based modelling approach as seen in this paper clearly shown its effectiveness in capturing the micro dynamics and influence in its neighbourhood mapping. Greenhouse gas emission inventory has shown important aspects such as domestic sector to be one of the major impact categories in the region. Further tree cover reduced drastically and is evident from the statistics and determines that if city is in verge of creating a chaos in terms of human health and desertification. Study concludes that integration of remote sensing, GIS, and agent based modelling offers an excellent opportunity to explore the spatio-temporal variation and visulaisation of sprawling metropolitan

  18. Effect of different tree mortality patterns on stand development in the forest model SIBYLA

    Directory of Open Access Journals (Sweden)

    Trombik Jiří

    2016-09-01

    Full Text Available Forest mortality critically affects stand structure and the quality of ecosystem services provided by forests. Spruce bark beetle (Ips typographus generates rather complex infestation and mortality patterns, and implementation of such patterns in forest models is challenging. We present here the procedure, which allows to simulate the bark beetle-related tree mortality in the forest dynamics model Sibyla. We explored how sensitive various production and stand structure indicators are to tree mortality patterns, which can be generated by bark beetles. We compared the simulation outputs for three unmanaged forest stands with 40, 70 and 100% proportion of spruce as affected by the disturbance-related mortality that occurred in a random pattern and in a patchy pattern. The used tree species and age class-specific mortality rates were derived from the disturbance-related mortality records from Slovakia. The proposed algorithm was developed in the SQLite using the Python language, and the algorithm allowed us to define the degree of spatial clustering of dead trees ranging from a random distribution to a completely clustered distribution; a number of trees that died in either mode is set to remain equal. We found significant differences between the long-term developments of the three investigated forest stands, but we found very little effect of the tested mortality modes on stand increment, tree species composition and diversity, and tree size diversity. Hence, our hypothesis that the different pattern of dead trees emergence should affect the competitive interactions between trees and regeneration, and thus affect selected productivity and stand structure indicators was not confirmed.

  19. A Framework for Conceptual Modeling of Geographic Data Quality

    DEFF Research Database (Denmark)

    Friis-Christensen, Anders; Christensen, J.V.; Jensen, Christian Søndergaard

    2004-01-01

    Sustained advances in wireless communications, geo-positioning, and consumer electronics pave the way to a kind of location-based service that relies on the tracking of the continuously changing positions of an entire population of service users. This type of service is characterized by large...... of geographic data and quality. The approach integrates quality information with the basic model constructs. This results in a model that enables object-oriented specification of quality requirements and of acceptable quality levels. More specifically, it extends the Unified Modeling Language with new modeling...... constructs based on standard classes, attributes, and associations that include quality information. A case study illustrates the utility of the quality-enabled model. reported....

  20. A One-Dimensional Hydrodynamic and Water Quality Model for a Water Transfer Project with Multihydraulic Structures

    OpenAIRE

    Yujun Yi; Caihong Tang; Zhifeng Yang; Shanghong Zhang; Cheng Zhang

    2017-01-01

    The long Middle Route of the South to North Water Transfer Project is composed of complex hydraulic structures (aqueduct, tunnel, control gate, diversion, culvert, and diverted siphon), which generate complex flow patterns. It is vital to simulate the flow patterns through hydraulic structures, but it is a challenging work to protect water quality and maintain continuous water transfer. A one-dimensional hydrodynamic and water quality model was built to understand the flow and pollutant movem...

  1. Assessment of the Quality Management Models in Higher Education

    Science.gov (United States)

    Basar, Gulsun; Altinay, Zehra; Dagli, Gokmen; Altinay, Fahriye

    2016-01-01

    This study involves the assessment of the quality management models in Higher Education by explaining the importance of quality in higher education and by examining the higher education quality assurance system practices in other countries. The qualitative study was carried out with the members of the Higher Education Planning, Evaluation,…

  2. On Regional Modeling to Support Air Quality Policies (book chapter)

    Science.gov (United States)

    We examine the use of the Community Multiscale Air Quality (CMAQ) model in simulating the changes in the extreme values of air quality that are of interest to the regulatory agencies. Year-to-year changes in ozone air quality are attributable to variations in the prevailing meteo...

  3. Influences of the land use pattern on water quality in low-order streams of the Dongjiang River basin, China: A multi-scale analysis.

    Science.gov (United States)

    Ding, Jiao; Jiang, Yuan; Liu, Qi; Hou, Zhaojiang; Liao, Jianyu; Fu, Lan; Peng, Qiuzhi

    2016-05-01

    Understanding the relationships between land use patterns and water quality in low-order streams is useful for effective landscape planning to protect downstream water quality. A clear understanding of these relationships remains elusive due to the heterogeneity of land use patterns and scale effects. To better assess land use influences, we developed empirical models relating land use patterns to the water quality of low-order streams at different geomorphic regions across multi-scales in the Dongjiang River basin using multivariate statistical analyses. The land use pattern was quantified in terms of the composition, configuration and hydrological distance of land use types at the reach buffer, riparian corridor and catchment scales. Water was sampled under summer base flow at 56 low-order catchments, which were classified into two homogenous geomorphic groups. The results indicated that the water quality of low-order streams was most strongly affected by the configuration metrics of land use. Poorer water quality was associated with higher patch densities of cropland, orchards and grassland in the mountain catchments, whereas it was associated with a higher value for the largest patch index of urban land use in the plain catchments. The overall water quality variation was explained better by catchment scale than by riparian- or reach-scale land use, whereas the spatial scale over which land use influenced water quality also varied across specific water parameters and the geomorphic basis. Our study suggests that watershed management should adopt better landscape planning and multi-scale measures to improve water quality. Copyright © 2016 Elsevier B.V. All rights reserved.

  4. Modeling and Evaluation of Multimodal Perceptual Quality

    DEFF Research Database (Denmark)

    Petersen, Kim T; Hansen, Steffen Duus; Sørensen, John Aasted

    1997-01-01

    The increasing performance requirements of multimedia modalities, carrying speech, audio, video, image, and graphics emphasize the need for assessment methods of the total quality of a multimedia system and methods for simultaneous analysis of the system components. It is important to take...... into account still more perceptual characteristics of the human auditory, visual, tactile systems, as well as combinations of these systems, it is also highly desirable to acquire methods for analysing the main perceptual parameters, which constitute the input for the total quality assessment. A framework...... is suggested for assessing the quality of modalities and their combinations...

  5. A model of continuous quality improvement for health service organisations.

    Science.gov (United States)

    Thornber, M

    1992-01-01

    Continuous Quality Improvement (or Total Quality Management) is an approach to management originally used in manufacturing and now being applied in the health services. This article describes a model of Continuous Quality Improvement which has been used in NSW public and private hospitals. The model consists of Ten Key Elements. The first driving force of this model is 'defining quality in terms of customer expectations' of quality. The second driving force emphasises that 'quality improvement is a leadership issue'. Leaders are required to: coordinate staff participation in work process analysis; train staff in the customer service orientation; lead effective meetings and negotiate with both internal and external service partners. Increased staff motivation, quality improvement and reduction in running costs are seen to be the benefits of CQI for health service organisations.

  6. Evaluation of models for assessing Medicago sativa L. hay quality

    African Journals Online (AJOL)

    UFS Campus

    ) model of Weiss et al. (1992), using lignin to determine truly digestible NDF, ... quality evaluation model for commercial application. .... The almost perfect relationship (r = 0.98; Table 1) between TDNlig of lucerne hay and MY, predicted.

  7. ADKAR MODEL VS. QUALITY MANAGEMENT CHANGE

    OpenAIRE

    Gratiela Dana Boca

    2013-01-01

    This research was conducted through different countries to identify dimensions and antecedents of buyer-seller relationships quality. In light of the findings dimensions of relationship quality have emerged: mutual trust, partners’ commitment in the relationship, cooperation and creativity and innovation. Also, the research identifies several key success factors in business relationships that are grouped into different categories: factors related to relational behaviours and factors related t...

  8. Modeling and refinement SOA design patterns with Event-B method

    OpenAIRE

    Tounsi , Imen; Hadj Kacem , Mohamed; Hadj Kacem , Ahmed; Drira , Khalil

    2012-01-01

    20 pages; Using design patterns has become increasingly popular. Most design patterns are proposed in an informal way, which can give rise to ambiguity and may lead to incorrect usage. Patterns, proposed by the SOA design pattern community, are described with an appropriate notation. So they require modeling with a standard notation and then formalization. In this paper, we propose a formal architecture-centric approach that aims first to model message-oriented SOA design patterns with the So...

  9. Quality control in hard disc drive manufacturing using pattern recognition technique

    Science.gov (United States)

    Masood, Ibrahim; Shyen, Victor Bee Ee

    2016-11-01

    Computerized monitoring-diagnosis is an efficient technique to identify the source of unnatural variation (UV) in manufacturing process. In this study, a pattern recognition scheme (PRS) for monitoring-diagnosis the UVs was developed based on control chart pattern recognition technique. This PRS integrates the multivariate exponentially weighted moving average (MEWMA) control chart and artificial neural network (ANN) recognizer to perform two-stage monitoring-diagnosis. The first stage monitoring was performed using the MEWMA statistics, whereas the second stage monitoring-diagnosis was performed using an ANN. The PRS was designed based on bivariate process mean shifts between 0.75σ and 3.00σ, with cross correlation between ρ=0.1 and 0.9. The performance of the proposed PRS has been validated in quality control of hard disk drive component manufacturing. The validation proved that it is efficient in rapidly detecting UV and accurately classify the source of UV patterns. In a nutshell, the PRS will aid in realizing automated decision making system in manufacturing industry.

  10. Islamic Banks Service Innovation Quality: Conceptual Model

    Directory of Open Access Journals (Sweden)

    Tahreem Noor Khan

    2016-07-01

    Full Text Available Customer perspectives and satisfaction level are considered important for analysing the performance of Islamic bank service quality. Sufficient researches has been done to explore customer perception and satisfaction level with Islamic banking service quality, however there is lack of data to compare and find the similarity in understanding the main determinant attributes needed for Islamic banking service quality. The purpose of this paper is to describe and integrate the results of existing wealth of research on service quality in Islamic banks. After weighing up all the views from existing research, common findings, concerns will be discussed. This research did not find much of information or studies indicating toward innovation in Islamic banking service quality. Thus based on review of the literature this paper suggests main key attributes of service for Islamic banks (RIBA Service IQ. This research strongly asserts that sincere motivation, truthful intention, dynamic and practical service innovation of quality approaches can uplift Islamic financial brandDOI: 10.15408/aiq.v8i2.3161

  11. Modeling for write synchronization in bit patterned media recording

    Science.gov (United States)

    Lin, Maria Yu; Chan, Kheong Sann; Chua, Melissa; Zhang, Songhua; Kui, Cai; Elidrissi, Moulay Rachid

    2012-04-01

    Bit patterned media recording (BPMR) is a contender for next generation technology after conventional granular magnetic recording (CGMR) can no longer sustain the continued areal density growth. BPMR has several technological hurdles that need to be overcome, among them is solving the problem of write synchronization. With CGMR, grains are randomly distributed and occur almost all over the media. In contrast, BPMR has grains patterned into a regular lattice on the media with an approximate 50% duty cycle. Hence only about a quarter of the area is filled with magnetic material. During writing, the clock must be synchronized to the islands or the written in error rate becomes unacceptably large and the system fails. Maintaining synchronization during writing is a challenge as the system is not able to read and write simultaneously. Hence reading must occur periodically between the writing frequently enough to re-synchronize the writing clock to the islands. In this work, we study the requirements on the lengths of the synchronization and data sectors in a BPMR system using an advanced model for BPMR, and taking into consideration different spindle motor speed variations, which is the main cause of the mis-synchronization.

  12. Water Quality Model of Florida Bay

    National Research Council Canada - National Science Library

    Cerco, Carl

    2000-01-01

    .... Application consists of calibrating the model to the two-year period 1996-1997, testing model sensitivity for the two year period, and simulating the ten-year period 1988-1997 to evaluate model long-term performance...

  13. Parametric packet-based audiovisual quality model for IPTV services

    CERN Document Server

    Garcia, Marie-Neige

    2014-01-01

    This volume presents a parametric packet-based audiovisual quality model for Internet Protocol TeleVision (IPTV) services. The model is composed of three quality modules for the respective audio, video and audiovisual components. The audio and video quality modules take as input a parametric description of the audiovisual processing path, and deliver an estimate of the audio and video quality. These outputs are sent to the audiovisual quality module which provides an estimate of the audiovisual quality. Estimates of perceived quality are typically used both in the network planning phase and as part of the quality monitoring. The same audio quality model is used for both these phases, while two variants of the video quality model have been developed for addressing the two application scenarios. The addressed packetization scheme is MPEG2 Transport Stream over Real-time Transport Protocol over Internet Protocol. In the case of quality monitoring, that is the case for which the network is already set-up, the aud...

  14. Quality inspection of anisotropic scintillating lead tungstate (PbWO4) crystals through measurement of interferometric fringe pattern parameters

    International Nuclear Information System (INIS)

    Cocozzella, N.; Lebeau, M.; Majni, G.; Paone, N.; Rinaldi, D.

    2001-01-01

    Scintillating crystals are widely used as detectors in radiographic systems, computerized axial tomography devices and in calorimeters employed in high-energy physics. This paper results from a project motivated by the development of the CMS calorimeter at CERN, which will make use of a large number of scintillating crystals. In order to prevent crystals from breaking because of internal residual stress, a quality control system based on optic inspection of interference fringe patterns was developed. The principle of measurement procedures was theoretically modelled, and then a dedicated polariscope was designed and built, in order to observe the crystals under induced stresses or to evaluate the residual internal stresses. The results are innovative and open a new perspective for scintillating crystals quality control: the photoelastic constant normal to the optic axis of the lead tungstate crystals (PbWO 4 ) was measured, and the inspection procedure developed is applicable to mass production, not only to optimize the crystal processing, but also to establish a quality inspection procedure

  15. Evaluation Model of Tea Industry Information Service Quality

    OpenAIRE

    Shi , Xiaohui; Chen , Tian’en

    2015-01-01

    International audience; According to characteristics of tea industry information service, this paper have built service quality evaluation index system for tea industry information service quality, R-cluster analysis and multiple regression have been comprehensively used to contribute evaluation model with a high practice and credibility. Proved by the experiment, the evaluation model of information service quality has a good precision, which has guidance significance to a certain extent to e...

  16. Nutrient Intake, Diet Quality, and Weight Measures in Breakfast Patterns Consumed by Children Compared with Breakfast Skippers: NHANES 2001-2008.

    Science.gov (United States)

    O'Neil, Carol E; Nicklas, Theresa A; Fulgoni, Victor L

    2015-01-01

    Most studies showing that children consuming breakfast have better nutrient intakes, diet quality, and lower weight than breakfast skippers have the incorrect premise that breakfast meals are homogeneous. The purpose of this study was to classify breakfast meals into patterns and determine the association of the breakfast patterns with daily and breakfast nutrient intakes, diet quality, and weight. Data from children (2-18 years of age; N = 14,200) participating in the National Health and Nutrition Examination Survey 2001-2008 were used. Intake was determined from one day 24-hour dietary recalls. Diet quality was measured using the Healthy Eating Index-2005 (HEI-2005). Body mass index (BMI) z-scores were determined. Twelve patterns (including No Breakfast [∼19% of population]), explaining 63% of the variance in energy from breakfast, were examined. Covariate adjusted general linear models were used to compare outcome variables of consumers of different patterns with breakfast skippers. The p value was Bonferroni corrected (eat Cereal (RTEC)/ LFM, RTEC/LFM, Cooked Cereal/Milk/FJ, and Whole Fruit patterns had higher total HEI-2005 scores than breakfast skippers; those consuming the MPF/ Grain/FJ pattern had lower diet quality than breakfast skippers. Consumption of the Grain/ LFM/Sweets/FJ, PSRTEC/whole milk, Soft Drinks/ FJ/Grain/Potatoes, RTEC/whole milk, and Cooked Cereal/ Milk/ FJ patterns was associated with lower BMI z-scores than seen in breakfast skippers. There are dietary and weight advantages of consuming breakfast, especially breakfasts that include grains, cereals, LFM, and fruit/ FJ, in contrast to the potential adverse effects of skipping breakfast.

  17. Air Quality Modelling and the National Emission Database

    DEFF Research Database (Denmark)

    Jensen, S. S.

    The project focuses on development of institutional strengthening to be able to carry out national air emission inventories based on the CORINAIR methodology. The present report describes the link between emission inventories and air quality modelling to ensure that the new national air emission...... inventory is able to take into account the data requirements of air quality models...

  18. Quality assurance of weather data for agricultural system model input

    Science.gov (United States)

    It is well known that crop production and hydrologic variation on watersheds is weather related. Rarely, however, is meteorological data quality checks reported for agricultural systems model research. We present quality assurance procedures for agricultural system model weather data input. Problems...

  19. A stochastic dynamic programming model for stream water quality ...

    Indian Academy of Sciences (India)

    R. Narasimhan (Krishtel eMaging) 1461 1996 Oct 15 13:05:22

    1. Introduction. River water quality management problems are characterized by various uncertainties at differ- ... model to achieve the maximum economic benefits without violating water quality standards. This model ..... for aquatic life, for example, would be a useful application of the methodology presented in the paper.

  20. Water quality modelling and optimisation of wastewater treatment ...

    African Journals Online (AJOL)

    Instream water quality management encompasses field monitoring and utilisation of mathematical models. These models can be coupled with optimisation techniques to determine more efficient water quality management alternatives. Among these activities, wastewater treatment plays a crucial role. In this work, a ...

  1. Factors affecting general sleep pattern and quality of sleep in pregnant women.

    Science.gov (United States)

    Ölmez, Soner; Keten, Hamit Sırrı; Kardaş, Selçuk; Avcı, Fazıl; Dalgacı, Ahmet Ferit; Serin, Salih; Kardaş, Fatma

    2015-03-01

    To investigate factors affecting general sleep pattern and sleep quality in pregnant women. We assessed all pregnant women applied to Department of Obstetrics and Gynecology in Training and Research Hospital, School of Medicine, Kahramanmaraş Sütçü İmam University between 01 January 2014 and 01 March 2014. The participants were informed prior to the study and 100 pregnant women who gave their informed consent were included in the study. Questionnaires consisting sociodemographic characteristics, pregnancy history and the Epworth sleepiness scale were applied to the patients. Factors affecting general sleep pattern and sleep quality in pregnant women were compared. The mean age of 100 pregnant women was 27.9 years (min=16, max=42). The mean gestational age of participants was found to be 24.8 weeks (min=5, max=40). In obstetric history, 9% of women previously had a stillbirth and also 25% of women previously had curettage performed. There were tobacco use in 6% of participants and 6% of patients previously had been to the hospital due to a sleep disorder. The mean excessive daytime sleepiness scale score of pregnant women were found to be 4.56. There were no significant difference among the patients regarding regular exercise (p=0.137), tobacco use (p=0.784), accompanying disease (p=0.437) and excessive daytime sleepiness scale score. In our study, patients who had a complaint of sleep disorder before and who were previously admitted to a health center for this problem, were also found to suffer from the same problem during pregnancy. Treatment of sleep disorders in preconception period for women planning pregnancy is important in terms of mother and the baby's health. Pregnant women should be informed about factors reducing sleep quality during pregnancy.

  2. A Quality-Oriented Urban Development Pattern? Two Case Studies in Shanghai

    Directory of Open Access Journals (Sweden)

    Xin Yi

    Full Text Available ABSTRACT: This article concentrates on the transformation of development patterns due to economic transitions in Shanghai through two case studies looking at different spatial levels. In the transformation process, the improvement of spatial quality in the existing urban space will play the central role in achieving a balance in the future among the relevant economic, social and environmental aspects. Relatedly, economic growth is no longer seen as the only important goal. Social and environmental issues have gained more and more attention, and are increasingly seen as the basic foundation for sustainable development. Given that such significant changes have occurred within a very short period of time, the author will discuss different critical factors and related symptoms as embodied in urban planning practice. Two case studies regarding the transformation in goal setting and the implementation process will be introduced, with a focus on the issues of accessibility and quality of life. One case relates to the development plan for Hongqiao Business Park, which is one of three focus development areas for Shanghai and is located near the comprehensive Hongqiao Transport Hub. The other case considers an area located to the south of the area of interest in the first case; both areas are well connected with each other. A new development strategy for the development of new towns in knowledge economy clusters has been advanced in the outskirts of Shanghai's city center, and has also influenced such efforts on the regional level, i.e., where the Huangpu River flows through the planning area and connects to other parts of the broader Shanghai region. KEYWORDS: Quality-oriented, urban development pattern, economic transition, Shanghai

  3. [Analysis of dietary pattern and diabetes mellitus influencing factors identified by classification tree model in adults of Fujian].

    Science.gov (United States)

    Yu, F L; Ye, Y; Yan, Y S

    2017-05-10

    Objective: To find out the dietary patterns and explore the relationship between environmental factors (especially dietary patterns) and diabetes mellitus in the adults of Fujian. Methods: Multi-stage sampling method were used to survey residents aged ≥18 years by questionnaire, physical examination and laboratory detection in 10 disease surveillance points in Fujian. Factor analysis was used to identify the dietary patterns, while logistic regression model was applied to analyze relationship between dietary patterns and diabetes mellitus, and classification tree model was adopted to identify the influencing factors for diabetes mellitus. Results: There were four dietary patterns in the population, including meat, plant, high-quality protein, and fried food and beverages patterns. The result of logistic analysis showed that plant pattern, which has higher factor loading of fresh fruit-vegetables and cereal-tubers, was a protective factor for non-diabetes mellitus. The risk of diabetes mellitus in the population at T2 and T3 levels of factor score were 0.727 (95 %CI: 0.561-0.943) times and 0.736 (95 %CI : 0.573-0.944) times higher, respectively, than those whose factor score was in lowest quartile. Thirteen influencing factors and eleven group at high-risk for diabetes mellitus were identified by classification tree model. The influencing factors were dyslipidemia, age, family history of diabetes, hypertension, physical activity, career, sex, sedentary time, abdominal adiposity, BMI, marital status, sleep time and high-quality protein pattern. Conclusion: There is a close association between dietary patterns and diabetes mellitus. It is necessary to promote healthy and reasonable diet, strengthen the monitoring and control of blood lipids, blood pressure and body weight, and have good lifestyle for the prevention and control of diabetes mellitus.

  4. Modelling human mobility patterns using photographic data shared online.

    Science.gov (United States)

    Barchiesi, Daniele; Preis, Tobias; Bishop, Steven; Moat, Helen Susannah

    2015-08-01

    Humans are inherently mobile creatures. The way we move around our environment has consequences for a wide range of problems, including the design of efficient transportation systems and the planning of urban areas. Here, we gather data about the position in space and time of about 16 000 individuals who uploaded geo-tagged images from locations within the UK to the Flickr photo-sharing website. Inspired by the theory of Lévy flights, which has previously been used to describe the statistical properties of human mobility, we design a machine learning algorithm to infer the probability of finding people in geographical locations and the probability of movement between pairs of locations. Our findings are in general agreement with official figures in the UK and on travel flows between pairs of major cities, suggesting that online data sources may be used to quantify and model large-scale human mobility patterns.

  5. QUALITY IMPROVEMENT MODEL AT THE MANUFACTURING PROCESS PREPARATION LEVEL

    Directory of Open Access Journals (Sweden)

    Dusko Pavletic

    2009-12-01

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

  6. Poor sleep quality is responsible for the nondipper pattern in hypertensive but not in normotensive chronic kidney disease patients.

    Science.gov (United States)

    Zhang, Jun; Wang, Cheng; Gong, Wenyu; Ye, Zengchun; Tang, Ying; Zhao, Wenbo; Peng, Hui; Lou, Tanqi

    2017-09-01

    This study was designed to evaluate the relationship between sleep quality and hypertension and to determine if there was an association between nondipper blood pressure (BP) and sleep quality in chronic kidney disease (CKD) patients. A total of 775 pre-dialysis CKD patients (314 normal BP patients, 461 hypertension patients) defined as dippers or nondippers by ambulatory BP monitoring were recruited for this study. Demographics and clinical correlates were collected, including body mass index, estimated glomerular filtration rate (eGFR) and other measures. Sleep quality was measured using the Pittsburgh Sleep Quality Index (PSQI). A total of 185 (58.9%) patients with normal BP and 341 (74.0%) hypertensive patients had a nondipper BP pattern. The hypertension group had a higher prevalence of the nondipper BP pattern, smoking, alcohol intake and diabetes mellitus (DM) and lower eGFR levels and poorer sleep quality than the normal BP group. Patients with the nondipper BP pattern had lower haemoglobin, worse renal function and poorer sleep quality when compared with hypertensive CKD patients with the dipping BP pattern. PSQI scores were significantly associated with the rate of nocturnal BP decline (P sleep quality was an independent factor affecting BP pattern in hypertensive CKD patients using multivariate linear and logistic regression analyses. There was no association between sleep quality and hypertension in CKD patients after multivariate logistic regression analyses. Poor sleep quality, which is commonly observed in pre-dialysis CKD patients, is an independent associated factor of the nondipper BP pattern in hypertensive CKD patients. No association was found between poor sleep and nondipper BP in normotensive patients. © 2016 Asian Pacific Society of Nephrology.

  7. The association between diet quality, dietary patterns and depression in adults: a systematic review

    Science.gov (United States)

    2013-01-01

    Background Recent evidence suggests that diet modifies key biological factors associated with the development of depression; however, associations between diet quality and depression are not fully understood. We performed a systematic review to evaluate existing evidence regarding the association between diet quality and depression. Method A computer-aided literature search was conducted using Medline, CINAHL, and PsycINFO, January 1965 to October 2011, and a best-evidence analysis performed. Results Twenty-five studies from nine countries met eligibility criteria. Our best-evidence analyses found limited evidence to support an association between traditional diets (Mediterranean or Norwegian diets) and depression. We also observed a conflicting level of evidence for associations between (i) a traditional Japanese diet and depression, (ii) a “healthy” diet and depression, (iii) a Western diet and depression, and (iv) individuals with depression and the likelihood of eating a less healthy diet. Conclusion To our knowledge, this is the first review to synthesize and critically analyze evidence regarding diet quality, dietary patterns and depression. Further studies are urgently required to elucidate whether a true causal association exists. PMID:23802679

  8. Development, implementation and quality assurance of biokinetic models within CONRAD

    International Nuclear Information System (INIS)

    Nosske, D.; Birchall, A.; Blanchardon, E.; Breustedt, B.; Giussani, A.; Luciani, A.; Oeh, U.; Lopez, M. A.

    2008-01-01

    The work of the Task Group 5.2 'Research Studies on Biokinetic Models' of the CONRAD project is presented. New biokinetic models have been implemented by several European institutions. Quality assurance procedures included intercomparison of the results as well as quality assurance of model formulation. Additionally, the use of the models was examined leading to proposals of tuning parameters. Stable isotope studies were evaluated with respect to their implications to the new models, and new biokinetic models were proposed on the basis of their results. Furthermore, the development of a biokinetic model describing the effects of decorporation of actinides by diethylenetriaminepentaacetic acid treatment was initiated. (authors)

  9. Global modelling of river water quality under climate change

    Science.gov (United States)

    van Vliet, Michelle T. H.; Franssen, Wietse H. P.; Yearsley, John R.

    2017-04-01

    Climate change will pose challenges on the quality of freshwater resources for human use and ecosystems for instance by changing the dilution capacity and by affecting the rate of chemical processes in rivers. Here we assess the impacts of climate change and induced streamflow changes on a selection of water quality parameters for river basins globally. We used the Variable Infiltration Capacity (VIC) model and a newly developed global water quality module for salinity, temperature, dissolved oxygen and biochemical oxygen demand. The modelling framework was validated using observed records of streamflow, water temperature, chloride, electrical conductivity, dissolved oxygen and biochemical oxygen demand for 1981-2010. VIC and the water quality module were then forced with an ensemble of bias-corrected General Circulation Model (GCM) output for the representative concentration pathways RCP2.6 and RCP8.5 to study water quality trends and identify critical regions (hotspots) of water quality deterioration for the 21st century.

  10. A review of hydrological/water-quality models

    Directory of Open Access Journals (Sweden)

    Liangliang GAO,Daoliang LI

    2014-12-01

    Full Text Available Water quality models are important in predicting the changes in surface water quality for environmental management. A range of water quality models are wildly used, but every model has its advantages and limitations for specific situations. The aim of this review is to provide a guide to researcher for selecting a suitable water quality model. Eight well known water quality models were selected for this review: SWAT, WASP, QUALs, MIKE 11, HSPF, CE-QUAL-W2, ELCOM-CAEDYM and EFDC. Each model is described according to its intended use, development, simulation elements, basic principles and applicability (e.g., for rivers, lakes, and reservoirs and estuaries. Currently, the most important trends for future model development are: (1 combination models─individual models cannot completely solve the complex situations so combined models are needed to obtain the most appropriate results, (2 application of artificial intelligence and mechanistic models combined with non-mechanistic models will provide more accurate results because of the realistic parameters derived from non-mechanistic models, and (3 integration with remote sensing, geographical information and global position systems (3S ─3S can solve problems requiring large amounts of data.

  11. Contextual snowflake modelling for pattern warehouse logical design

    Indian Academy of Sciences (India)

    presented the architecture of PWMS where patterns are managed in type tier and pattern tier layers. In this paper ... terns management techniques, languages or design methodologies for pattern warehouse. The concept of making the ... Several important specific implementation issues still need to be investigated. The work ...

  12. Data assimilation for air quality models

    DEFF Research Database (Denmark)

    Silver, Jeremy David

    2014-01-01

    -dimensional optimal interpolation procedure (OI), an Ensemble Kalman Filter (EnKF), and a three-dimensional variational scheme (3D-var). The three assimilation procedures are described and tested. A multi-faceted approach is taken for the verification, using independent measurements from surface air-quality...

  13. Exploring model quality for ACAS X

    NARCIS (Netherlands)

    Giannakopoulou, Dimitra; Guck, Dennis; Schumann, Johann

    2016-01-01

    The next generation airborne collision avoidance system, ACAS X, aims to provide robustness through a probabilistic model that represents sources of uncertainty. From this model, dynamic programming produces a look-up table that is used to give advisories to the pilot in real time. The model is not

  14. Quality Model of Foodstuff in a Refrigerated Display Cabinet

    DEFF Research Database (Denmark)

    Cai, Junping; Risum, Jørgen; Thybo, Claus

    2006-01-01

    happens to the food inside during this period, when we look at the quality factor? This paper discusses quality model of foodstuff, different scenarios of defrost scheme are simulated, questions such as how the defrost temperature and duration influence the food temperature, thus the food quality, as well...... as what is the optimal defrost scheme from food quality point of view are answered. This will serve as a prerequisite of designing of optimal control scheme for the commercial refrigeration system, aiming at optimizing a weighed cost function of both food quality and overall energy consumption of system....

  15. Combining catchment and instream modelling to assess physical habitat quality

    DEFF Research Database (Denmark)

    Olsen, Martin

    the physical habitat quality of stream Ledreborg using af habitat hydraulic model • to assess the present and potential physical habitat quality of stream Ledreborg • to evaluate the suitability and applicability of habitat hydraulic models to Danish stream management Results • Precipitation and evaporation...... the best potential physical habitat quality for trout fry and juvenile trout and the lowest potential physical habitat quality for adult trout. This finding supports previous evaluations of the stream as a trout habitat, concluding that stream Ledreborg has very few suitable habitats for adult trout...... in the modelling. • Although more time consuming than present Danish methods for assessment of physical habitat quality in streams, the habitat hydraulic models can be used to evaluate physical habitat conditions at reach level and work as a basis for a more objective assessment method....

  16. A software quality model and metrics for risk assessment

    Science.gov (United States)

    Hyatt, L.; Rosenberg, L.

    1996-01-01

    A software quality model and its associated attributes are defined and used as the model for the basis for a discussion on risk. Specific quality goals and attributes are selected based on their importance to a software development project and their ability to be quantified. Risks that can be determined by the model's metrics are identified. A core set of metrics relating to the software development process and its products is defined. Measurements for each metric and their usability and applicability are discussed.

  17. A pattern-based analysis of clinical computer-interpretable guideline modeling languages.

    Science.gov (United States)

    Mulyar, Nataliya; van der Aalst, Wil M P; Peleg, Mor

    2007-01-01

    Languages used to specify computer-interpretable guidelines (CIGs) differ in their approaches to addressing particular modeling challenges. The main goals of this article are: (1) to examine the expressive power of CIG modeling languages, and (2) to define the differences, from the control-flow perspective, between process languages in workflow management systems and modeling languages used to design clinical guidelines. The pattern-based analysis was applied to guideline modeling languages Asbru, EON, GLIF, and PROforma. We focused on control-flow and left other perspectives out of consideration. We evaluated the selected CIG modeling languages and identified their degree of support of 43 control-flow patterns. We used a set of explicitly defined evaluation criteria to determine whether each pattern is supported directly, indirectly, or not at all. PROforma offers direct support for 22 of 43 patterns, Asbru 20, GLIF 17, and EON 11. All four directly support basic control-flow patterns, cancellation patterns, and some advance branching and synchronization patterns. None support multiple instances patterns. They offer varying levels of support for synchronizing merge patterns and state-based patterns. Some support a few scenarios not covered by the 43 control-flow patterns. CIG modeling languages are remarkably close to traditional workflow languages from the control-flow perspective, but cover many fewer workflow patterns. CIG languages offer some flexibility that supports modeling of complex decisions and provide ways for modeling some decisions not covered by workflow management systems. Workflow management systems may be suitable for clinical guideline applications.

  18. A Model of Housing Quality Determinants (HQD for Affordable Housing

    Directory of Open Access Journals (Sweden)

    Afaq Hyder Chohan

    2015-01-01

    Full Text Available This research identifies the design quality determinants and parameters for affordable housing in a developing metropolis, Karachi, Pakistan. The absence of quality housing in Karachi has resulted in a variety of factors including policy failure, violation of bylaws, housing scarcity and more low quality housing. The combination of these factors has resulted in poor housing design and construction and has lowered the overall quality of housing. Homeowners (end-users experience unplanned maintenance and repairs. This study provides a design quality model for use as a survey tool among professionals and endusers. This study resulted in a table of 24 quality determinants marked as Housing Quality Determinants (HQD grouped into eight sections. This research concludes that the existing design quality of affordable housing in Karachi could be enhanced by resolving problems related to design, construction, services, site development, neighbourhood and sustainability. The HQD model provides a platform for developing quality indicators of housing design and an opportunity for local and international design and construction professionals to rethink design in the context of housing quality. This article provides the development of the HQD framework (model.

  19. Evaluation of model quality predictions in CASP9

    KAUST Repository

    Kryshtafovych, Andriy

    2011-01-01

    CASP has been assessing the state of the art in the a priori estimation of accuracy of protein structure prediction since 2006. The inclusion of model quality assessment category in CASP contributed to a rapid development of methods in this area. In the last experiment, 46 quality assessment groups tested their approaches to estimate the accuracy of protein models as a whole and/or on a per-residue basis. We assessed the performance of these methods predominantly on the basis of the correlation between the predicted and observed quality of the models on both global and local scales. The ability of the methods to identify the models closest to the best one, to differentiate between good and bad models, and to identify well modeled regions was also analyzed. Our evaluations demonstrate that even though global quality assessment methods seem to approach perfection point (weighted average per-target Pearson\\'s correlation coefficients are as high as 0.97 for the best groups), there is still room for improvement. First, all top-performing methods use consensus approaches to generate quality estimates, and this strategy has its own limitations. Second, the methods that are based on the analysis of individual models lag far behind clustering techniques and need a boost in performance. The methods for estimating per-residue accuracy of models are less accurate than global quality assessment methods, with an average weighted per-model correlation coefficient in the range of 0.63-0.72 for the best 10 groups.

  20. Airline service quality evaluation: A review on concepts and models

    Directory of Open Access Journals (Sweden)

    Navid Haghighat

    2017-12-01

    Full Text Available This paper reviews different major service quality concept and models which led to great developments in evaluating service quality with focusing on improvement process of the models through discussing criticisms of each model. Criticisms against these models are discussed to clarify development steps of newer models which led to the improvement of airline service quality models. The precise and accurate evaluation of service quality needs utilizing a reliable concept with comprehensive criteria and effective measurement techniques as the fundamentals of a valuable framework. In this paper, service quality models improvement is described based on three major service quality concepts, the disconfirmation, performance and hierarchical concepts which are developed subsequently. Reviewing various criteria and different measurement techniques such a statistical analysis and multi-criteria decision making assist researchers to have a clear understanding of the development of the evaluation framework in the airline industry. This study aims at promoting reliable frameworks for evaluating airline service quality in different countries and societies due to economic, cultural and social aspects of each society.

  1. Quality assessment in higher education using the SERVQUALQ model

    Directory of Open Access Journals (Sweden)

    Sabina Đonlagić

    2015-01-01

    Full Text Available Economy in Bosnia and Herzegovina is striving towards growth and increased employment and it has been proven by empirical studies worldwide that higher education contributes to socio-economic development of a country. Universities are important for generation, preservation and dissemination of knowledge in order to contribute to socio-economic benefits of a country. Higher education institutions are being pressured to improve value for their activities and providing quality higher education service to students should be taken seriously. In this paper we will address the emerging demand for quality in higher education. Higher education institutions should assess quality of their services and establish methods for improving quality. Activities of quality assurance should be integrated into the management process at higher education institutions. This paper is addressing the issue of service quality measurement in higher education institutions. The most frequently used model in this context is the SERVQUAL model. This model is measuring quality from the students' point of view, since students are considered to be one of the most important stakeholders for a higher education institution. The main objective of this research is to provide empirical evidence that the adapted SERVQAL model can be used in higher education and to identify the service quality gap based on its application at one institution of higher education (Faculty of Economics in Bosnia and Herzegovina. Furthermore, results of the gap analysis using the SERVQUAL methodology provide relevant information in which areas improvement is necessary in order to enhance service quality.

  2. A Model to Improve the Quality Products

    Directory of Open Access Journals (Sweden)

    Hasan GOKKAYA

    2010-08-01

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

  3. A model introducing SOAs quality attributes decomposition

    OpenAIRE

    Belkhatir, Riad; Oussalah, Mourad Chabane; Viguier, Arnaud

    2012-01-01

    International audience; Recently, service oriented architecture (SOA) has been popularized with the emergence of standards like Web services. Nevertheless, the shift to this architectural paradigm could potentially involve significant risks including projects abandonments. With this in mind, the question of evaluating SOA quality arose. The appearance of methods like ATAM or SAAM propelled software architecture evaluation to a standard stage for any paradigm. However, there still are a number...

  4. The Prostate Cancer Registry: monitoring patterns and quality of care for men diagnosed with prostate cancer.

    Science.gov (United States)

    Evans, Sue M; Millar, Jeremy L; Wood, Julie M; Davis, Ian D; Bolton, Damien; Giles, Graham G; Frydenberg, Mark; Frauman, Albert; Costello, Antony; McNeil, John J

    2013-04-01

    To establish a pilot population-based clinical registry with the aim of monitoring the quality of care provided to men diagnosed with prostate cancer. All men aged >18 years from the contributing hospitals in Victoria, Australia, who have a diagnosis of prostate cancer confirmed by histopathology report notified to the Victorian Cancer Registry are eligible for inclusion in the Prostate Cancer Registry (PCR). A literature review was undertaken aiming to identify existing quality indicators and source evidence-based guidelines from both Australia and internationally. A Steering Committee was established to determine the minimum dataset, select quality indicators to be reported back to clinicians, identify the most effective recruitment strategy, and provide a governance structure for data requests; collection, analysis and reporting of data; and managing outliers. A minimum dataset comprising 72 data items is collected by the PCR, enabling ten quality indicators to be collected and reported. Outcome measures are risk adjusted according to the established National Comprehensive Cancer Network and Cancer of the Prostate Risk Assessment Score (surgery only) risk stratification model. Recruitment to the PCR occurs concurrently with mandatory notification to the state-based Cancer Registry. The PCR adopts an opt-out consent process to maximize recruitment. The data collection approach is standardized, using a hybrid of data linkage and manual collection, and data collection forms are electronically scanned into the PCR. A data access policy and escalation policy for mortality outliers has been developed. The PCR provides potential for high-quality population-based data to be collected and managed within a clinician-led governance framework. This approach satisfies the requirement for health services to establish quality assessment, at the same time as providing clinically credible data to clinicians to drive practice improvement. © 2012 THE AUTHORS. BJU INTERNATIONAL

  5. MEASURING THE DATA MODEL QUALITY IN THE ESUPPLY CHAINS

    Directory of Open Access Journals (Sweden)

    Zora Arsovski

    2012-03-01

    Full Text Available The implementation of Internet technology in business has enabled the development of e-business supply chains with large-scale information integration among all partners.The development of information systems (IS is based on the established business objectives whose achievement, among other things, directly depends on the quality of development and design of IS. In the process of analysis of the key elements of company operations in the supply chain, process model and corresponding data model are designed which should enable selection of appropriate information system architecture. The quality of the implemented information system, which supports e-supply chain, directly depends on the level of data model quality. One of the serious limitations of the data model is its complexity. With a large number of entities, data model is difficult to analyse, monitor and maintain. The problem gets bigger when looking at an integrated data model at the level of participating partners in the supply chain, where the data model usually consists of hundreds or even thousands of entities.The paper will analyse the key elements affecting the quality of data models and show their interactions and factors of significance. In addition, the paper presents various measures for assessing the quality of the data model on which it is possible to easily locate the problems and focus efforts in specific parts of a complex data model where it is not economically feasible to review every detail of the model.

  6. Determinants of dietary patterns and diet quality during pregnancy: a systematic review with narrative synthesis.

    Science.gov (United States)

    Doyle, Ina-Merle; Borrmann, Brigitte; Grosser, Angelique; Razum, Oliver; Spallek, Jacob

    2017-04-01

    To identify determinants of diet in pregnancy, by detecting factors in our multiple-determinants life course framework that are associated with dietary patterns, quality or guideline adherence. A systematic review of observational studies, published in English or German, was conducted. Sociodemographic, lifestyle, environmental and pregnancy-related determinants were considered. Four electronic databases were searched in January 2015 and updated in April 2016 and a total of 4368 articles identified. Risk of bias was assessed using adapted Newcastle-Ottawa Scales. High- and upper-middle-income countries. Pregnant or postpartum women reporting their dietary intake during pregnancy. Seventeen publications of twelve studies were included and compared narratively due to heterogeneity. Diet in pregnancy was patterned along a social gradient and aligned with other health behaviours before and during pregnancy. Few studies investigated the influence of the social and built environment and their findings were inconsistent. Except for parity, pregnancy determinants were rarely assessed even though pregnancy is a physiologically and psychologically unique period. Various less well-researched factors such as the role of ethnicity, pregnancy intendedness, pregnancy ailments and macro-level environment were identified that need to be studied in more detail. The framework was supported by the literature identified, but more research of sound methodology is needed in order to conclusively disentangle the interplay of the different determinants. Practitioners should be aware that pregnant women who are young, have a low education or do not follow general health advice appear to be at higher risk of inadequate dietary intake.

  7. THE RELATIONSHIP BETWEEN MODELS OF QUALITY MANAGEMENT AND CSR

    Directory of Open Access Journals (Sweden)

    CĂTĂLINA SITNIKOV

    2015-03-01

    Full Text Available Lately, the quality management has integrated more and more among its components Corporate Social Responsibility (CSR. With strong roots in the foundation for sustainable development, protection of the environment, issues of social justness and economic growth, CSR raises numerous issues related to obtaining profits, business performance and firms and activities based on the quality of management. From the point of view of the last issues, the models of quality management built on the fundamental principles of quality become the foundation and catalyst for the effective implementation of CSR in organizations. This is the reason why it is necessary to investigate the extent to which quality management models provide frameworks and guidelines for integrating CSR in the management of quality and, moreover, in the management of the organization, with a clear focus on the extent to which the concept can be institutionalized and operated by the organization.

  8. Constellations of dyadic relationship quality in stepfamilies: A factor mixture model.

    Science.gov (United States)

    Jensen, Todd M

    2017-12-01

    Stepfamilies are an increasingly common family form, marked by distinct challenges, opportunities, and complex networks of dyadic relationships that can transcend single households. There exists a dearth of typological analyses by which constellations of dyadic processes in stepfamilies are holistically analyzed. Factor mixture modeling is used to identify population heterogeneity with respect to features of mother-child, stepfather-child, nonresident father-child, and stepcouple relationships using a representative sample of 1,182 adolescents in mother-stepfather families with living nonresident fathers from Wave I of the National Longitudinal Study of Adolescent to Adult Health. Results favor a 4-class factor-mixture solution with class-specific factor covariance matrices. Class 1 (n = 302, 25.5%), the residence-centered pattern, was marked by high-quality residential relationships. Class 2 (n = 307, 26%), the inclusive pattern, was marked by high-quality relationships across all four dyads, with an especially involved nonresident father-child relationship. Class 3 (n = 350, 29.6%), the unhappy couple pattern, was marked by very low stepcouple relationship quality. Class 4 (n = 223, 18.9%), the parent-child disconnection pattern, was marked by distant relationships between youth and all three parental figures. The residence-centered and inclusive patterns encompassed some positive correlations between dyadic relationships whereas the unhappy couple and parent-child disconnection patterns encompassed some negative correlations between dyadic relationships. The patterns present with differences across sociodemographic and substantive covariates and highlight important opportunities for the development of new and innovative interventions, particularly to meet the needs of stepfamilies that reflect the parent-child disconnection pattern. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

  9. Nutrient Intake, Diet Quality, and Weight Measures in Breakfast Patterns Consumed by Children Compared with Breakfast Skippers: NHANES 2001-2008

    Directory of Open Access Journals (Sweden)

    Carol E. O'Neil

    2015-08-01

    Full Text Available Most studies showing that children consuming breakfast have better nutrient intakes, diet quality, and lower weight than breakfast skippers have the incorrect premise that breakfast meals are homogeneous. The purpose of this study was to classify breakfast meals into patterns and determine the association of the breakfast patterns with daily and breakfast nutrient intakes, diet quality, and weight. Data from children (2-18 years of age; N = 14,200 participating in the National Health and Nutrition Examination Survey 2001-2008 were used. Intake was determined from one day 24-hour dietary recalls. Diet quality was measured using the Healthy Eating Index-2005 (HEI-2005. Body mass index (BMI z-scores were determined. Twelve patterns (including No Breakfast [~19% of population], explaining 63% of the variance in energy from breakfast, were examined. Covariate adjusted general linear models were used to compare outcome variables of consumers of different patterns with breakfast skippers. The p value was Bonferroni corrected (< 0.05/12 = < 0.0042. Consumers of the Eggs/Grain/Meat, Poultry, Fish (MPF/Fruit Juice (FJ and MPF/Grain/FJ patterns showed higher daily intakes of saturated fats, solid fats, and sodium and lower daily intakes of added sugars than breakfast skippers. Consumers of most breakfast patterns showed higher daily intakes of some nutrients of public health concern (dietary fiber, vitamin D, calcium, and potassium; however, those consuming the Grain or MPF/Grain/FJ pattern did not. Consumers of the Grain/Lower Fat Milk (LFM/Sweets/FJ, Presweetened (PS Ready-to-eat Cereal (RTEC/LFM, RTEC/LFM, Cooked Cereal/Milk/FJ, and Whole Fruit patterns had higher total HEI-2005 scores than breakfast skippers; those consuming the MPF/Grain/FJ pattern had lower diet quality than breakfast skippers. Consumption of the Grain/LFM/Sweets/FJ, PSRTEC/whole milk, Soft Drinks/FJ/Grain/Potatoes, RTEC/whole milk, and Cooked Cereal/Milk/FJ patterns was associated

  10. An Implementation of Exploratory Start for Power Quality Disturbance Pattern Recognition

    Directory of Open Access Journals (Sweden)

    Turgay Yalcin

    2016-10-01

    Full Text Available Identification of system disturbances and detection of them guarantees smart grids power quality system reliability and long lasting life of the power system. The key goal of this study is to generate non - time consuming features for CPU, for recognizing different types of non-stationary and non-linear smart grid faults based on signal processing techniques. This paper proposes a new solution for real time power system monitoring against power quality faults focusing on voltage sag and noise. EEMD is used for noise reduction with first intrinsic mode function (imf1. Hilbert Huang Transform (HHT is used for generating instantaneous amplitude (IA and instantaneous frequency (IF feature of real time voltage sag power signal. The proposed power system monitoring system is able to detect power system voltage sag disturbances and capable of recognize and remove EMI (Electromagnetic Interference-Noise.  In this study based on experimental studies, Hilbert Huang based pattern recognition technique was used to investigate power signal to diagnose voltage sag in power grid. SVM and Decision Tree (C4.5 were operated and their achievements were matched for calculation error and CPU time. According to the analysis, decision tree algorithm without dimensionality reduction produces the best solution.

  11. Development and application of air quality models at the US ...

    Science.gov (United States)

    Overview of the development and application of air quality models at the U.S. EPA, particularly focused on the development and application of the Community Multiscale Air Quality (CMAQ) model developed within the Computation Exposure Division (CED) of the National Exposure Research Laboratory (NERL). This presentation will provide a simple overview of air quality model development and application geared toward a non-technical student audience. The National Exposure Research Laboratory (NERL) Computational Exposure Division (CED) develops and evaluates data, decision-support tools, and models to be applied to media-specific or receptor-specific problem areas. CED uses modeling-based approaches to characterize exposures, evaluate fate and transport, and support environmental diagnostics/forensics with input from multiple data sources. It also develops media- and receptor-specific models, process models, and decision support tools for use both within and outside of EPA.

  12. Hybrid Model for e-Learning Quality Evaluation

    Directory of Open Access Journals (Sweden)

    Suzana M. Savic

    2012-02-01

    Full Text Available E-learning is becoming increasingly important for the competitive advantage of economic organizations and higher education institutions. Therefore, it is becoming a significant aspect of quality which has to be integrated into the management system of every organization or institution. The paper examines e-learning quality characteristics, standards, criteria and indicators and presents a multi-criteria hybrid model for e-learning quality evaluation based on the method of Analytic Hierarchy Process, trend analysis, and data comparison.

  13. Quality Concerns in Technical Education in India: A Quantifiable Quality Enabled Model

    Science.gov (United States)

    Gambhir, Victor; Wadhwa, N. C.; Grover, Sandeep

    2016-01-01

    Purpose: The paper aims to discuss current Technical Education scenarios in India. It proposes modelling the factors affecting quality in a technical institute and then applying a suitable technique for assessment, comparison and ranking. Design/methodology/approach: The paper chose graph theoretic approach for quantification of quality-enabled…

  14. The Feasibility of Quality Function Deployment (QFD) as an Assessment and Quality Assurance Model

    Science.gov (United States)

    Matorera, D.; Fraser, W. J.

    2016-01-01

    Business schools are globally often seen as structured, purpose-driven, multi-sector and multi-perspective organisations. This article is based on the response of a graduate school to an innovative industrial Quality Function Deployment-based model (QFD), which was to be adopted initially in a Master's degree programme for quality assurance…

  15. Colour change in a structural ornament is related to individual quality, parasites and mating patterns in the blue tit

    Science.gov (United States)

    Badás, E. P.; Martínez, J.; Rivero-de Aguilar, J.; Ponce, C.; Stevens, M.; Merino, S.

    2018-02-01

    Carry-over effects refer to processes that occur in one season and influence fitness in the following. In birds, two costly activities, namely reproduction and moult, are restricted to a small time window, and sometimes overlap. Thus, colour in newly moulted feathers is likely to be affected by the costs of reproduction. Using models of bird vision we investigated male colour change in a free-living population of blue tits ( Cyanistes caeruleus) in three sampling occasions: spring 1, winter and spring 2. We related crown, tail, breast and cheek feather colouration after the moult (winter) to the intensity of infections by blood parasites during reproduction (spring 1). In the following spring (spring 2), we explored mating patterns with respect to changes in feather colour (springs 1 vs. 2). Males that were less intensely infected by the malaria parasite Plasmodium while breeding showed purer white cheek feathers in winter, which may indicate higher feather quality. Increased brightness in the white cheek was associated with better body condition during reproduction. In the following season, males with brighter cheeks paired with females that had noticeably brighter cheek patches compared to the male's previous mate. These results suggest that the conditions experienced during reproduction are likely to affect moult and thus feather colouration, at least in the white patch. High quality individuals may allocate resources efficiently during reproduction increasing future reproductive success through variation in mating patterns. Carry-over effects from reproduction might extend not only to the non-breeding phase, but also to the following breeding season.

  16. A Lebanese dietary pattern promotes better diet quality among older adults: findings from a national cross-sectional study.

    Science.gov (United States)

    Jomaa, Lamis; Hwalla, Nahla; Itani, Leila; Chamieh, Marie Claire; Mehio-Sibai, Abla; Naja, Farah

    2016-04-19

    Proper nutrition is critical for healthy aging and maintaining functional independence. Limited research has been done on the assessment of dietary patterns of older adults and their association with diet quality indices. This study was conducted to identify, characterize, and evaluate the dietary patterns and diet quality of older adults in Lebanon, a middle-income country undergoing nutrition transition. A cross-sectional population-based study was conducted on a nationally representative sample of community-dwelling older adults aged >50 years (n = 525). Socio-demographic, anthropometric, and lifestyle variables were collected through interviews, and dietary intake was assessed using a semi-quantitative food frequency questionnaire (FFQ). Five commonly used diet quality indices (DQIs) were calculated, including the Alternative Healthy Eating Index (AHEI), the alternate Mediterranean diet score (aMed), the Dietary Approach to Stop Hypertension (DASH) style diet score, and the Lebanese Mediterranean Diet index. Dietary patterns (DPs) were derived using exploratory factor analysis. Associations of identified DPs with energy, energy-adjusted nutrients, and DQIs were evaluated by Pearson's correlations. Multiple linear regression analyses were used to examine correlates of DPs. Three DPs were derived: Lebanese, Western, and High Protein/Alcohol patterns. The Lebanese pattern had highest correlations with fiber, folate, vitamin C, and all five DQIs. The Western was positively associated with energy and sodium and was inversely correlated with fiber, most vitamins, and a number of DQIs, namely AHEI, aMED, and DASH-style diet score. Highest correlations with intakes of proteins and fat were observed for the High Protein/Alcohol pattern. The Lebanese pattern was associated with female gender, education, nonsmoking and physical activity, whereas the Western pattern was associated with adverse health behaviors, including smoking, skipping breakfast, and physical inactivity

  17. Hydrologic and Water Quality Model Development Using Simulink

    Directory of Open Access Journals (Sweden)

    James D. Bowen

    2014-11-01

    Full Text Available A stormwater runoff model based on the Soil Conservation Service (SCS method and a finite-volume based water quality model have been developed to investigate the use of Simulink for use in teaching and research. Simulink, a MATLAB extension, is a graphically based model development environment for system modeling and simulation. Widely used for mechanical and electrical systems, Simulink has had less use for modeling of hydrologic systems. The watershed model is being considered for use in teaching graduate-level courses in hydrology and/or stormwater modeling. Simulink’s block (data process and arrow (data transfer object model, the copy and paste user interface, the large number of existing blocks, and the absence of computer code allows students to become model developers almost immediately. The visual depiction of systems, their component subsystems, and the flow of data through the systems are ideal attributes for hands-on teaching of hydrologic and mass balance processes to today’s computer-savvy visual learners. Model development with Simulink for research purposes is also investigated. A finite volume, multi-layer pond model using the water quality kinetics present in CE-QUAL-W2 has been developed using Simulink. The model is one of the first uses of Simulink for modeling eutrophication dynamics in stratified natural systems. The model structure and a test case are presented. One use of the model for teaching a graduate-level water quality modeling class is also described.

  18. Food purchase patterns: empirical identification and analysis of their association with diet quality, socio-economic factors, and attitudes.

    Science.gov (United States)

    Thiele, Silke; Peltner, Jonas; Richter, Almut; Mensink, Gert B M

    2017-10-12

    Empirically derived food purchase patterns provide information about which combinations of foods were purchased from households. The objective of this study was to identify what kinds of patterns exist, which level of diet quality they represent and which factors are associated with the patterns. The study made use of representative German consumption data in which approximately 12 million food purchases from 13,125 households are recorded. In accordance with healthy diet criteria the food purchases were assigned to 18 food groups of the German Food Pyramid. Based on these groups a factor analysis with a principal component technique was applied to identify food patterns. For these patterns nutrient and energy densities were examined. Using regression analysis, associations between pattern scores and socio-economic as well as attitude variables, reflecting personal statements about healthy eating, were analyzed. In total, three food purchase patterns could be identified: a natural, a processed and a traditional one. The first one was characterized by a higher purchasing of natural foods, the second by an increased purchasing of processed foods and the third by a meat-oriented diet. In each pattern there were specific diet quality criteria that could be improved whereas others were in line with actual dietary guidelines. In addition to socio-demographic factors, attitudes were significantly associated with the purchase patterns. The findings of this study are interesting from a public health perspective, as it can be assumed that measures focusing on specific aspects of diet quality are more promising than general ones. However, it is a major challenge to identify the population groups with their specific needs of improvement. As the patterns were associated with both socio-economic and attitude variables these grouping criteria could be used to define target groups.

  19. A Rotational Blended Learning Model: Enhancement and Quality Assurance

    Science.gov (United States)

    Ghoul, Said

    2013-01-01

    Research on blended learning theory and practice is growing nowadays with a focus on the development, evaluation, and quality assurance of case studies. However, the enhancement of blended learning existing models, the specification of their online parts, and the quality assurance related specifically to them have not received enough attention.…

  20. Modeling E-learning quality assurance benchmarking in higher education

    NARCIS (Netherlands)

    Alsaif, Fatimah; Clementking, Arockisamy

    2014-01-01

    Online education programs have been growing rapidly. While it is somehow difficult to specifically quantify quality, many recommendations have been suggested to specify and demonstrate quality of online education touching on common areas of program enhancement and administration. To design a model

  1. Exploring a "Gap" Model of Information Services Quality.

    Science.gov (United States)

    Kettinger, William J.; Lee, Choong C.

    1995-01-01

    Outlines information systems (IS) service quality improvement to cope with a customer-driven IS environment due to the growth of end-user computing, information technology decentralization, and alternative sources of supply. It adapts a conceptual "gap" model from the marketing field as a framework for IS service quality management. (67…

  2. Water quality modelling and optimisation of wastewater treatment ...

    African Journals Online (AJOL)

    2016-10-04

    Oct 4, 2016 ... Using this model, it was demonstrated that water quality standards can be met at all monitoring points at a minimum cost by simultaneously optimising treatment levels at each treatment plant. Keywords: instream water quality, mixed integer optimisation, wastewater treatment levels, Streeter-Phelps.

  3. Modeling air-quality in complex terrain using mesoscale and ...

    African Journals Online (AJOL)

    Air-quality in a complex terrain (Colorado-River-Valley/Grand-Canyon Area, Southwest U.S.) is modeled using a higher-order closure mesoscale model and a higher-order closure dispersion model. Non-reactive tracers have been released in the Colorado-River valley, during winter and summer 1992, to study the ...

  4. Mathematical model for water quality (portable water): a case study ...

    African Journals Online (AJOL)

    A water quality model for water-use-goal is proposed. The model is tested with a treatment schedule at a water works for portable water. It was observed that at least a 25 per cent savings can be achieved if the model is employed. Mathematics Connection Vol. 4 2004: 27-30 ...

  5. Modeling Air-Quality in Complex Terrain Using Mesoscale and ...

    African Journals Online (AJOL)

    Air-quality in a complex terrain (Colorado-River-Valley/Grand-Canyon Area, Southwest U.S.) is modeled using a higher-order closure mesoscale model and a higher-order closure dispersion model. Non-reactive tracers have been released in the Colorado-River valley, during winter and summer 1992, to study the ...

  6. Reduced-form air quality modeling for community-scale ...

    Science.gov (United States)

    Transportation plays an important role in modern society, but its impact on air quality has been shown to have significant adverse effects on public health. Numerous reviews (HEI, CDC, WHO) summarizing findings of hundreds of studies conducted mainly in the last decade, conclude that exposures to traffic emissions near roads are a public health concern. The Community LINE Source Model (C-LINE) is a web-based model designed to inform the community user of local air quality impacts due to roadway vehicles in their region of interest using a simplified modeling approach. Reduced-form air quality modeling is a useful tool for examining what-if scenarios of changes in emissions, such as those due to changes in traffic volume, fleet mix, or vehicle speed. Examining various scenarios of air quality impacts in this way can identify potentially at-risk populations located near roadways, and the effects that a change in traffic activity may have on them. C-LINE computes dispersion of primary mobile source pollutants using meteorological conditions for the region of interest and computes air-quality concentrations corresponding to these selected conditions. C-LINE functionality has been expanded to model emissions from port-related activities (e.g. ships, trucks, cranes, etc.) in a reduced-form modeling system for local-scale near-port air quality analysis. This presentation describes the Community modeling tools C-LINE and C-PORT that are intended to be used by local gove

  7. Self-organized crystallization patterns from evaporating droplets of common wheat grain leakages as a potential tool for quality analysis.

    Science.gov (United States)

    Kokornaczyk, Maria Olga; Dinelli, Giovanni; Marotti, Ilaria; Benedettelli, Stefano; Nani, Daniele; Betti, Lucietta

    2011-01-01

    We studied the evaporation-induced pattern formation in droplets of common wheat kernel leakages prepared out of ancient and modern wheat cultivars as a possible tool for wheat quality analysis. The experiments showed that the substances which passed into the water during the soaking of the kernels created crystalline structures with different degrees of complexity while the droplets were evaporating. The forms ranged from spots and simple structures with single ramifications, through dendrites, up to highly organized hexagonal shapes and fractal-like structures. The patterns were observed and photographed using dark field microscopy in small magnifications. The evaluation of the patterns was performed both visually and by means of the fractal dimension analysis. From the results, it can be inferred that the wheat cultivars differed in their pattern-forming capacities. Two of the analyzed wheat cultivars showed poor pattern formation, whereas another two created well-formed and complex patterns. Additionally, the wheat cultivars were analyzed for their vigor by means of the germination test and measurement of the electrical conductivity of the grain leakages. The results showed that the more vigorous cultivars also created more complex patterns, whereas the weaker cultivars created predominantly poor forms. This observation suggests a correlation between the wheat seed quality and droplet evaporation patterns.

  8. Self-Organized Crystallization Patterns from Evaporating Droplets of Common Wheat Grain Leakages as a Potential Tool for Quality Analysis

    Directory of Open Access Journals (Sweden)

    Maria Olga Kokornaczyk

    2011-01-01

    Full Text Available We studied the evaporation-induced pattern formation in droplets of common wheat kernel leakages prepared out of ancient and modern wheat cultivars as a possible tool for wheat quality analysis. The experiments showed that the substances which passed into the water during the soaking of the kernels created crystalline structures with different degrees of complexity while the droplets were evaporating. The forms ranged from spots and simple structures with single ramifications, through dendrites, up to highly organized hexagonal shapes and fractal-like structures. The patterns were observed and photographed using dark field microscopy in small magnifications. The evaluation of the patterns was performed both visually and by means of the fractal dimension analysis. From the results, it can be inferred that the wheat cultivars differed in their pattern-forming capacities. Two of the analyzed wheat cultivars showed poor pattern formation, whereas another two created well-formed and complex patterns. Additionally, the wheat cultivars were analyzed for their vigor by means of the germination test and measurement of the electrical conductivity of the grain leakages. The results showed that the more vigorous cultivars also created more complex patterns, whereas the weaker cultivars created predominantly poor forms. This observation suggests a correlation between the wheat seed quality and droplet evaporation patterns.

  9. Modeling the Structure of the Relationship Between Emotion Regulation Difficulties, Positive and Negative affect Sleep Quality

    Directory of Open Access Journals (Sweden)

    S Amiri

    2017-05-01

    Full Text Available Abstract   Background & aim: Poor quality sleep is very common in modern societies and has a significant negative impact on psychological and physiological Dimensions. The purpose of the present study was to investigate correlational relationships and draw up a positive and negative affect mediation model between the difficulty in regulation of emotion and quality of sleep.   Methods: In this descriptive-correlational study, the participants of the study were selected through multi-stage cluster sampling. Then, the difficulty questionnaire was distributed in emotion regulation, affective and negative and sleep quality among the participants . Collected data was analyzed for descriptive, correlation, structural equation modeling to investigate the research objectives.   Results: The results showed that there was a significant positive correlation between the difficulty components of emotion regulation and negative emotion with poor sleep quality and positive correlation between positive affection and high sleep quality (p <0.01. Also, the pattern of structural equation modeling indicates the role of mediating positive and negative affects in the relationship between the difficulty in regulation of emotion and sleep quality . Conclusions: The results supported the hypothesis that the difficulty in regulation of emotion interferes with the quality of sleep, and positive affection can have a moderating role in this regard.    

  10. Compare local pocket and global protein structure models by small structure patterns

    KAUST Repository

    Cui, Xuefeng

    2015-09-09

    Researchers proposed several criteria to assess the quality of predicted protein structures because it is one of the essential tasks in the Critical Assessment of Techniques for Protein Structure Prediction (CASP) competitions. Popular criteria include root mean squared deviation (RMSD), MaxSub score, TM-score, GDT-TS and GDT-HA scores. All these criteria require calculation of rigid transformations to superimpose the the predicted protein structure to the native protein structure. Yet, how to obtain the rigid transformations is unknown or with high time complexity, and, hence, heuristic algorithms were proposed. In this work, we carefully design various small structure patterns, including the ones specifically tuned for local pockets. Such structure patterns are biologically meaningful, and address the issue of relying on a sufficient number of backbone residue fragments for existing methods. We sample the rigid transformations from these small structure patterns; and the optimal superpositions yield by these small structures are refined and reported. As a result, among 11; 669 pairs of predicted and native local protein pocket models from the CASP10 dataset, the GDT-TS scores calculated by our method are significantly higher than those calculated by LGA. Moreover, our program is computationally much more efficient. Source codes and executables are publicly available at http://www.cbrc.kaust.edu.sa/prosta/

  11. Predictive model for determining the quality of a call

    Science.gov (United States)

    Voznak, M.; Rozhon, J.; Partila, P.; Safarik, J.; Mikulec, M.; Mehic, M.

    2014-05-01

    In this paper the predictive model for speech quality estimation is described. This model allows its user to gain the information about the speech quality in VoIP networks without the need of performing the actual call and the consecutive time consuming sound file evaluation. This rapidly increases usability of the speech quality measurement especially in high load networks, where the actual processing of all calls is rendered difficult or even impossible. This model can reach its results that are highly conformant with the PESQ algorithm only based on the network state parameters that are easily obtainable by the commonly used software tools. Experiments were carried out to investigate whether different languages (English, Czech) have an effect on perceived voice quality for the same network conditions and the language factor was incorporated directly into the model.

  12. Modelling of the Quality Management of the Human Resource Training

    Directory of Open Access Journals (Sweden)

    Bucur Amelia

    2015-12-01

    Full Text Available It is known that for the scientific substantiation of quality management have been applied models that pertain to mathematical statistics, the probability theory, the information theory, fuzzy systems, graphic methods, time series, and algebraic and numerical methods.

  13. An effective quality model for evaluating mobile websites

    International Nuclear Information System (INIS)

    Hassan, W.U.; Nawaz, M.T.; Syed, T.H.; Naseem, A.

    2015-01-01

    The Evolution in Web development in recent years has caused emergence of new area of mobile computing, Mobile phone has been transformed into high speed processing device capable of doing the processes which were suppose to be run only on computer previously, Modem mobile phones now have capability to process data with greater speed then desktop systems and with the inclusion of 3G and 4G networks, mobile became the prime choice for users to send and receive data from any device. As a result, there is a major increase in mobile website need and development but due to uniqueness of mobile website usage as compared to desktop website, there is a need to focus on quality aspect of mobile website, So, to increase and preserve quality of mobile website, a quality model is required which has to be designed specifically to evaluate mobile website quality, To design a mobile website quality model, a survey based methodology is used to gather the information regarding website unique usage in mobile from different users. On the basis of this information, a mobile website quality model is presented which aims to evaluate the quality of mobile websites. In proposed model, some sub characteristics are designed to evaluate mobile websites in particular. The result is a proposed model aims to evaluate features of website which are important in context of its deployment and its usability in mobile platform. (author)

  14. Contextual snowflake modelling for pattern warehouse logical design

    Indian Academy of Sciences (India)

    A pattern warehouse is as attractive as data warehouse as the main repository of an organization's pattern and can .... such knowledge artifacts, generated by data mining applications (Tiwari et al 2010). So the ...... 31st International Conference on Very Large Data Bases (VLDB), (pp)1346–1349, Trondheim, Norway,. ACM.

  15. A Neural Network Model for Prediction of Sound Quality

    DEFF Research Database (Denmark)

    Nielsen,, Lars Bramsløw

    obtained in subjective sound quality rating experiments based on input data from an auditory model. Various types of input data and data representations from the auditory model were used as input data for the chosen network structure, which was a three-layer perceptron. This network was trained by means...... the physical signal parameters and the subjectively perceived sound quality. No simple objective-subjective relationship was evident from this analysis....

  16. A New Software Quality Model for Evaluating COTS Components

    OpenAIRE

    Adnan Rawashdeh; Bassem Matalkah

    2006-01-01

    Studies show that COTS-based (Commercial off the shelf) systems that are being built recently are exceeding 40% of the total developed software systems. Therefore, a model that ensures quality characteristics of such systems becomes a necessity. Among the most critical processes in COTS-based systems are the evaluation and selection of the COTS components. There are several existing quality models used to evaluate software systems in general; however, none of them is dedicated to COTS-based s...

  17. Software Quality Assessment Tool Based on Meta-Models

    OpenAIRE

    Doneva Rositsa; Gaftandzhieva Silvia; Doneva Zhelyana; Staevsky Nevena

    2015-01-01

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

  18. Organic aerosol spatial/temporal patterns: perspectives of measurements and model.

    Science.gov (United States)

    Pun, Betty K; Seigneur, Christian

    2008-10-01

    Ambient measurements from SEARCH and model results from CMAQ-MADRID are analyzed side by side for the southeastern United States to understand the strengths and weaknesses of an air quality model in reproducing key spatial and temporal patterns related to organic aerosol (OA), with inferences regarding secondary organic aerosol (SOA). The model predicts a larger difference in OA concentrations between an urban (JST) and a rural site (YRK) than indicated by measurements. Modeled OA concentrations at JST and YRK are more strongly correlated than measurements. On average, models may understate urban OA emissions, while overstating urban SOA production; measurements indicate that SOA production takes place on the regional scale. Modeled diurnal fluctuations for OA are stronger than measured, due partially to overestimations of the temperature dependence parameters (deltaH(vap)) for SOA in the model. Urban-rural differences in the composition of SOA, inferred from the variations of estimated deltaH(vap), are not properly captured by the model, which does not represent multiple generations of SOA or varied reaction pathways as a function of chemical regimes. Model results are hampered by day-of-the-week and diurnal allocation issues related to EC and OA emissions. Top quintile (20%) afternoon OA concentrations are observed in both warm and cold seasons at the urban site. The frequency of high OA in the cold season is overstated in the model. The model predicts the warm vs cold season frequency of elevated OA episodes better at YRK than at JST, suggesting that regional emissions, chemistry, and transport are better simulated than urban processes.

  19. Pattern formation through spatial interactions in a modified Daisyworld model

    Science.gov (United States)

    Alberti, Tommaso; Primavera, Leonardo; Lepreti, Fabio; Vecchio, Antonio; Carbone, Vincenzo

    2015-04-01

    The Daisyworld model is based on a hypothetical planet, like the Earth, which receives the radiant energy coming from a Sun-like star, and populated by two kinds of identical plants differing by their colour: white daisies reflecting light and black daisies absorbing light. The interactions and feedbacks between the collective biota of the planet and the incoming radiation form a self-regulating system where the conditions for life are maintained. We investigate a modified version of the Daisyworld model where a spatial dependency on latitude is introduced, and both a variable heat diffusivity along latitude and a simple greenhouse model are included. We show that the spatial interactions between the variables of the system can generate some equilibrium patterns which can locally stabilize the coexistence of the two vegetation types. The feedback on albedo is able to generate new equilibrium solutions which can efficiently self-regulate the planet climate, even for values of the solar luminosity relatively far from the current Earth conditions. The extension to spatial Daisyworld gives room to the possibility of inhomogeneous solar forcing in a curved planet, with explicit differences between poles and equator and the direct use of the heat diffusion equation. As a first approach, to describe a spherical planet, we consider the temperature T(θ,t) and the surface coverage as depending only on time and on latitude θ (-90° ≤ θ ≤ 90°). A second step is the introduction of the greenhouse effect in the model, the process by which outgoing infrared radiation is partly screened by greenhouse gases. This effect can be described by relaxing the black-body radiation hypothesis and by introducing a grayness function g(T) in the heat equation. As a third step, we consider a latitude dependence of the Earth's conductivity, χ = χ(θ). Considering these terms, using spherical coordinates and symmetry with respect to θ, the modified Daisyworld equations reduce to the

  20. Turing patterns and long-time behavior in a three-species food-chain model

    KAUST Repository

    Parshad, Rana D.

    2014-08-01

    We consider a spatially explicit three-species food chain model, describing generalist top predator-specialist middle predator-prey dynamics. We investigate the long-time dynamics of the model and show the existence of a finite dimensional global attractor in the product space, L2(Ω). We perform linear stability analysis and show that the model exhibits the phenomenon of Turing instability, as well as diffusion induced chaos. Various Turing patterns such as stripe patterns, mesh patterns, spot patterns, labyrinth patterns and weaving patterns are obtained, via numerical simulations in 1d as well as in 2d. The Turing and non-Turing space, in terms of model parameters, is also explored. Finally, we use methods from nonlinear time series analysis to reconstruct a low dimensional chaotic attractor of the model, and estimate its fractal dimension. This provides a lower bound, for the fractal dimension of the attractor, of the spatially explicit model. © 2014 Elsevier Inc.

  1. QUALITY SERVICES EVALUATION MODEL BASED ON DEDICATED SOFTWARE TOOL

    Directory of Open Access Journals (Sweden)

    ANDREEA CRISTINA IONICĂ

    2012-10-01

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

  2. Feature Analysis for Modeling Game Content Quality

    DEFF Research Database (Denmark)

    Shaker, Noor; Yannakakis, Georgios N.; Togelius, Julian

    2011-01-01

    ’ preferences, and by defining the smallest game session size for which the model can still predict reported emotion with acceptable accuracy. Neuroevolutionary preference learning is used to approximate the function from game content to reported emotional preferences. The experiments are based on a modified...

  3. Management Model for efficient quality control in new buildings

    Directory of Open Access Journals (Sweden)

    C. E. Rodríguez-Jiménez

    2017-09-01

    Full Text Available The management of the quality control of each building process is usually set up in Spain from different levels of demand. This work tries to obtain a model of reference, to compare the quality control of the building process of a specific product (building, and to be able to evaluate its warranty level. In the quest of this purpose, we take credit of specialized sources and 153 real cases of Quality Control were carefully revised using a multi-judgment method. Applying different techniques to get a specific valuation (impartial of the input parameters through Delphi’s method (17 experts query, whose matrix treatment with the Fuzzy-QFD tool condenses numerical references through a weighted distribution of the selected functions and their corresponding conditioning factors. The model thus obtained (M153 is useful in order to have a quality control reference to meet the expectations of the quality.

  4. Importance of demand modelling in network water quality models : A review

    NARCIS (Netherlands)

    Blokker, E.J.M.; Vreeburg, J.H.G.; Buchberger, S.G.; Van Dijk, J.C.

    2008-01-01

    Today, there is a growing interest in network water quality modelling. The water quality issues of interest relate to both dissolved and particulate substances. For dissolved substances the main interest is in residual chlorine and (microbiological) contaminant propagation; for particulate

  5. [A structural model for quality of life of infertile women].

    Science.gov (United States)

    Kim, Ju Hee; Shin, Hye Sook

    2013-06-01

    The purpose of this study was to test a model for quality of life among infertile women. This model was based primarily on the concept of the Fertility Quality of Life by Boivin et al. (2011) and the Infertility Resilience Model by Rindenour (2009). Fifteen measurable variables were used to estimate quality of life. They included endogenous variables such as fertility quality of life and resilience, and exogenous variables such as infertility related stress, depression, marital adjustment, and family support. Data sets (n=203) used for analysis were collected in a general hospital which had, on average, 400 assisted reproductive technologies per month. The assessment of the modified model indicated acceptable fit, with chi2/d.f=2.07, GFI=.90, AGFI=.89, NFI=.89, CFI=.91, RMSEA=.07. Depression, infertility related stress, marital adjustment, resilience, and family support had direct influences on quality of life. The results of this study should contribute to the development of nursing intervention programs to enhance quality of life using factors that affect fertiQol (fertility quality of life) of infertile women.

  6. The Association between Dietary Patterns and Semen Quality in a General Asian Population of 7282 Males.

    Directory of Open Access Journals (Sweden)

    Chin-Yu Liu

    Full Text Available To explore the associations between different dietary patterns and semen quality in a general Asian male population.Cross-sectional study. Healthy Taiwanese men aged 18 years or older who participated in a standard medical screening program from 2008-2013 run by a private firm were included in this study. Semen parameters including sperm concentration (SC, total sperm motility (TSM, progressive motility (PRM and normal sperm morphology (NSM were recorded. A dietary questionnaire was used to categorize the participants into 5 groups: "Healthy diet", "Western diet", "High-carbohydrate diet", "High sweet snacks & sugar-sweetened drinks" and "High-sodium diet".A total of 7282 men completed the questionnaire regarding dietary pattern, and examination of anthropometric indexes was performed and laboratory data were obtained. A high intake of a "Western diet" resulted in statistically linear declines of SC and NSM (P < 0.001 and P < 0.001. Similarly, a greater intake of "High sweet snacks & sugar-sweetened drinks" was associated with a lower SC (P = 0.001. Increased intake of a "High-carbohydrate diet" was related to higher prevalences of abnormal TSM and PRM (P = 0.012 and P = 0.025. Similarly, a greater intake of a "High-sodium diet" was correlated with an elevated prevalence of abnormal NSM (P = 0.035.This study showed that a greater intake of a "Western diet" is associated with poorer SC and NSM, a "High sweet snacks and sugar-sweetened drinks" intake is correlated with a lower SC, and high-carbohydrate food is related to elevated prevalences of abnormal TSM and PRM.

  7. Clinical Rating of Movement-Pattern Quality in Patients With Femoroacetabular Impingement Syndrome: A Methodological Study.

    Science.gov (United States)

    Casartelli, Nicola C; Maffiuletti, Nicola A; Brunner, Romana; Büchi, Marcel; Sutter, Reto; Pfirrmann, Christian W; Naal, Florian D; Leunig, Michael; Bizzini, Mario

    2018-04-01

    Study Design Cross-sectional study. Objectives To evaluate intrarater and interrater agreement among physical therapists with different clinical experience in performing a visual rating of movement-pattern quality of patients with femoroacetabular impingement (FAI) syndrome using a semi-quantitative scale. Background Visual rating of movement patterns in patients with FAI syndrome is of interest, because poor control of dynamic hip motion is frequently noted. Methods A video camera was used to record the performance of 34 patients with FAI syndrome performing single-limb standing, squat, frontal lunge, hop lunge, bridge, and plank. Visual rating of movement, as recorded on video, was performed by a highly experienced, a moderately experienced, and a novice physical therapist on 2 occasions using a semi-quantitative scale. Hip abductor strength was assessed using dynamometry, and hip pain and function were assessed with a patient-reported questionnaire. Intrarater and interrater agreement among physical therapists was evaluated using Gwet's agreement coefficient 1. Construct validity was evaluated as the association between physical therapists' rating and patients' hip abductor strength, pain, and function. Results Good intrarater and interrater agreement was observed in the highly experienced and moderately experienced physical therapists when rating single-limb standing, bridge, and plank. Poor to moderate intrarater and interrater agreement was found when they rated squat, frontal lunge, and hop lunge. Poor performers, as rated by the highly experienced physical therapist only, demonstrated lower hip abductor strength (Prated by a highly experienced physical therapist. J Orthop Sports Phys Ther 2018;48(4):260-269. doi:10.2519/jospt.2018.7840.

  8. Rice transgene flow: its patterns, model and risk management.

    Science.gov (United States)

    Jia, Shirong; Yuan, Qianhua; Pei, Xinwu; Wang, Feng; Hu, Ning; Yao, Kemin; Wang, Zhixing

    2014-12-01

    Progress has been made in a 12 year's systemic study on the rice transgene flow including (i) with experiments conducted at multiple locations and years using up to 21 pollen recipients, we have elucidated the patterns of transgene flow to different types of rice. The frequency to male sterile lines is 10(1) and 10(3) higher than that to O. rufipogon and rice cultivars. Wind speed and direction are the key meteorological factors affecting rice transgene flow. (ii) A regional applicable rice gene flow model is established and used to predict the maximum threshold distances (MTDs) of gene flow during 30 years in 993 major rice producing counties of southern China. The MTD0.1% for rice cultivars is basically ≤5 m in the whole region, despite climate differs significantly at diverse locations and years. This figure is particularly valuable for the commercialization and regulation of transgenic rice. (iii) The long-term fate of transgene integrated into common wild rice was investigated. Results demonstrated that the F1 hybrids of transgenic rice/O. rufipogon gradually disappeared within 3-5 years, and the Bt or bar gene was not detectable in the mixed population, suggesting the O. rufipogon may possess a strong mechanism of exclusiveness for self-protection. (iv) The flowering time isolation and a 2-m-high cloth-screen protection were proved to be effective in reducing transgene flow. We have proposed to use a principle of classification and threshold management for different types of rice. © 2014 Society for Experimental Biology, Association of Applied Biologists and John Wiley & Sons Ltd.

  9. The Epidemiology of Sleep Quality, Sleep Patterns, Consumption of Caffeinated Beverages, and Khat Use among Ethiopian College Students

    OpenAIRE

    Lemma, Seblewengel; Patel, Sheila V.; Tarekegn, Yared A.; Tadesse, Mahlet G.; Berhane, Yemane; Gelaye, Bizu; Williams, Michelle A.

    2012-01-01

    Objective:. To evaluate sleep habits, sleep patterns, and sleep quality among Ethiopian college students; and to examine associations of poor sleep quality with consumption of caffeinated beverages and other stimulants. Methods:. A total of 2,230 undergraduate students completed a self-administered comprehensive questionnaire which gathered information about sleep complaints, sociodemographic and lifestyle characteristics,and theuse of caffeinated beverages and khat. We used multivariable log...

  10. An Overview of Atmospheric Chemistry and Air Quality Modeling

    Science.gov (United States)

    Johnson, Matthew S.

    2017-01-01

    This presentation will include my personal research experience and an overview of atmospheric chemistry and air quality modeling to the participants of the NASA Student Airborne Research Program (SARP 2017). The presentation will also provide examples on ways to apply airborne observations for chemical transport (CTM) and air quality (AQ) model evaluation. CTM and AQ models are important tools in understanding tropospheric-stratospheric composition, atmospheric chemistry processes, meteorology, and air quality. This presentation will focus on how NASA scientist currently apply CTM and AQ models to better understand these topics. Finally, the importance of airborne observation in evaluating these topics and how in situ and remote sensing observations can be used to evaluate and improve CTM and AQ model predictions will be highlighted.

  11. Model-based quantification of image quality

    Science.gov (United States)

    Hazra, Rajeeb; Miller, Keith W.; Park, Stephen K.

    1989-01-01

    In 1982, Park and Schowengerdt published an end-to-end analysis of a digital imaging system quantifying three principal degradation components: (1) image blur - blurring caused by the acquisition system, (2) aliasing - caused by insufficient sampling, and (3) reconstruction blur - blurring caused by the imperfect interpolative reconstruction. This analysis, which measures degradation as the square of the radiometric error, includes the sample-scene phase as an explicit random parameter and characterizes the image degradation caused by imperfect acquisition and reconstruction together with the effects of undersampling and random sample-scene phases. In a recent paper Mitchell and Netravelli displayed the visual effects of the above mentioned degradations and presented subjective analysis about their relative importance in determining image quality. The primary aim of the research is to use the analysis of Park and Schowengerdt to correlate their mathematical criteria for measuring image degradations with subjective visual criteria. Insight gained from this research can be exploited in the end-to-end design of optical systems, so that system parameters (transfer functions of the acquisition and display systems) can be designed relative to each other, to obtain the best possible results using quantitative measurements.

  12. COST OF QUALITY MODELS AND THEIR IMPLEMENTATION IN MANUFACTURING FIRMS

    Directory of Open Access Journals (Sweden)

    N.M. Vaxevanidis

    2009-03-01

    Full Text Available In order to improve quality, an organization must take into account the costs associated with achieving quality since the objective of continuous improvement programs is not only to meet customer requirements, but also to do it at the lowest, possible, cost. This can only obtained by reducing the costs needed to achieve quality, and the reduction of these costs is only possible if they are identified and measured. Therefore, measuring and reporting the cost of quality (CoQ should be considered an important issue for achieving quality excellence. To collect quality costs an organization needs to adopt a framework to classify costs; however, there is no general agreement on a single broad definition of quality costs. CoQ is usually understood as the sum of conformance plus non-conformance costs, where cost of conformance is the price paid for prevention of poor quality (for example, inspection and quality appraisal and cost of non-conformance is the cost of poor quality caused by product and service failure (for example, rework and returns. The objective of this paper is to give a survey of research articles on the topic of CoQ; it opens with a literature review focused on existing CoQ models; then, it briefly presents the most common CoQ parameters and the metrics (indices used for monitoring CoQ. Finally, the use of CoQ models in practice, i.e., the implementation of a quality costing system and cost of quality reporting in companies is discussed, with emphasis in cases concerning manufacturing firms.

  13. Feature Analysis for Modeling Game Content Quality

    DEFF Research Database (Denmark)

    Shaker, Noor; Yannakakis, Georgios N.; Togelius, Julian

    2011-01-01

    ’ preferences, and by defining the smallest game session size for which the model can still predict reported emotion with acceptable accuracy. Neuroevolutionary preference learning is used to approximate the function from game content to reported emotional preferences. The experiments are based on a modified......entertainment for individual game players is to tailor player experience in real-time via automatic game content generation. Modeling the relationship between game content and player preferences or affective states is an important step towards this type of game personalization. In this paper we...... analyse the relationship between level design parameters of platform games and player experience. We introduce a method to extract the most useful information about game content from short game sessions by investigating the size of game session that yields the highest accuracy in predicting players...

  14. Controls of catchments` sub-storage contributions to dynamic water quality patterns in the stream network

    Science.gov (United States)

    Schuetz, Tobias; Maike Hegenauer, Anja

    2016-04-01

    Water quality is usually observed either continuously at a few stations within a catchment or with few snapshot sampling campaigns throughout the whole stream network. Although we know that the depletion of catchment sub-storages can vary throughout the stream network according to their actual water content (spatial variability of actual storage conditions can be caused amongst others by unevenly distributed rainfall, storage size or spatial differences in soil characteristics and land use), we know little about the impact of this process on spatial water quality patterns. For summer low flow recession periods, when stream water composition can be crucial for aquatic ecosystem conditions and the exceedance of water quality thresholds, knowledge on the controls of the dynamic interplay of catchment storages and stream water composition might improve water quality management and the implementation of corresponding mitigation measures. We studied this process throughout the stream network of a first-order agricultural headwater catchment in south-western Germany during two summer low flow recession periods. The underlying geology of the study area is a deep layer of aeolian loess, whilst the dominating soil is a silty calcaric regosol with gleizations in the colluvium. The land use in the catchment is dominated by viniculture (63 %) and arable crops (18 %). Due to the dense drainpipe network within the catchment we could identify 12 sub-catchments contributing during summer low flow recession periods to total stream discharge. We continuously observed discharge, electrical conductivity and water temperatures for 8 of the sub-catchments and at the catchment outlet. This data set was accomplished by 10 snapshot campaigns where we sampled for water temperatures, electrical conductivity, major ions, pH and O2 throughout the stream network. Using either discharge concentration relationships or time dependent functions, we derived continuous export rates for all measures in

  15. QUALITY OF AN ACADEMIC STUDY PROGRAMME - EVALUATION MODEL

    Directory of Open Access Journals (Sweden)

    Mirna Macur

    2016-01-01

    Full Text Available Quality of an academic study programme is evaluated by many: employees (internal evaluation and by external evaluators: experts, agencies and organisations. Internal and external evaluation of an academic programme follow written structure that resembles on one of the quality models. We believe the quality models (mostly derived from EFQM excellence model don’t fit very well into non-profit activities, policies and programmes, because they are much more complex than environment, from which quality models derive from (for example assembly line. Quality of an academic study programme is very complex and understood differently by various stakeholders, so we present dimensional evaluation in the article. Dimensional evaluation, as opposed to component and holistic evaluation, is a form of analytical evaluation in which the quality of value of the evaluand is determined by looking at its performance on multiple dimensions of merit or evaluation criteria. First stakeholders of a study programme and their views, expectations and interests are presented, followed by evaluation criteria. They are both joined into the evaluation model revealing which evaluation criteria can and should be evaluated by which stakeholder. Main research questions are posed and research method for each dimension listed.

  16. Modelling the effects of litter decomposition on tree diversity patterns

    NARCIS (Netherlands)

    Mazzoleni, S.; Bonanomi, G.; Giannino, F.; Incerti, G.; Dekker, S.C.; Rietkerk, M.G.

    2010-01-01

    Current theoriesmaynot fully explainwhylatitudinal patterns of plant diversity differ between terrestrial and flooded ecosystems. Moreover, the co-occurrence of hyper diverse stands in lowland tierra firma (not inundated) forests and almost monospecific stands in mangroves and gallery riparian

  17. Stochastic resonance in pattern recognition by a holographic neuron model

    OpenAIRE

    Stoop, R.; Buchli, J.; Keller, G.; Steeb, W.H.

    2003-01-01

    The recognition rate of holographic neural synapses, performing a pattern recognition task, is significantly higher when applied to natural, rather than artificial, images. This shortcoming of artificial images can be largely compensated for, if noise is added to the input pattern. The effect is the result of a trade-off between optimal representation of the stimulus (for which noise is favorable) and keeping as much as possible of the stimulus-specific information (for which noise is detrime...

  18. Applied Cognitive Models of Behavior and Errors Patterns

    Science.gov (United States)

    2017-09-01

    learning objectives. The resulting history of estimates over performance in the scenario can provide insights into the specific progress of learning...Knee, hip , and leg injuries (c) Direct, blunt trauma (d) Broken arms and ribs (e) Both (a) and (b) (f) Both (a) and (c) (g) (a), (b) and (c) 4...What pattern(s) of injury are most associated with the “Down and Under” mechanism of injury? (a) Head and neck injuries (b) Knee, hip , and leg

  19. Sleep Pattern, Duration and Quality in Relation with Glycemic Control in People with Type 2 Diabetes Mellitus.

    Science.gov (United States)

    Gozashti, Mohammad Hossein; Eslami, Nazanin; Radfar, Mohammad Hadi; Pakmanesh, Hamid

    2016-11-01

    Sleep disturbances have been shown to be associated with diabetes control, but the relation between planned wakings or napping with glycemic indices has not been evaluated yet. This study evaluated the relation between sleep quality, duration, and pattern, including daytime napping of people with diabetes and their glycemic control. A cross-sectional correlation research design was used for this study. We enrolled 118 people with type 2 diabetes receiving oral agents without major complications at the Shahid Bahonar Center, Kerman. The age, weight, height, serum HbA1c, as well as other glycemic indices and lipid profile were measured. BMI was also calculated. All participants were requested to fill in the Pittsburgh Sleep Quality Index (PSQI) questionnaire to evaluate their sleep quality. In addition, they were inquired about their sleep schedule during day and night. Pearson correlation and multiple regression analyses were conducted to examine the correlation between HbA1c and sleep pattern variables. The variables were also compared between participants with or without napping using t-test. All analyses were performed with the SPSS version 19 (SPSS, Chicago, IL, USA). The mean age was 58±11 years and mean HbA1c (%) was 7.8±11 (62±13 mmol/mol). Sleep duration and the number of sleep segments significantly predicted HbA1c (F (2,114)=5.232, P=0.007, R2=0.084). A one-hour increment in sleep duration was associated with a 0.174% (1.4 mmol/mol) decrement in HbA1c. PSQI score did not contribute to the regression model. Moreover, participants who napped (66%) had a lower HbA1c (7.6±1) compared to others (8.1±1.3) (P=0.04). We concluded that napping and segmented sleep are associated with a better glycemic control in type 2 diabetes and there is a linear correlation between sleep duration and better glycemic control.

  20. Sleep Pattern, Duration and Quality in Relation with Glycemic Control in People with Type 2 Diabetes Mellitus

    Directory of Open Access Journals (Sweden)

    Mohammad Hossein Gozashti

    2016-11-01

    Full Text Available Sleep disturbances have been shown to be associated with diabetes control, but the relation between planned wakings or napping with glycemic indices has not been evaluated yet. This study evaluated the relation between sleep quality, duration, and pattern, including daytime napping of people with diabetes and their glycemic control. A cross-sectional correlation research design was used for this study. We enrolled 118 people with type 2 diabetes receiving oral agents without major complications at the Shahid Bahonar Center, Kerman. The age, weight, height, serum HbA1c, as well as other glycemic indices and lipid profile were measured. BMI was also calculated. All participants were requested to fill in the Pittsburgh Sleep Quality Index (PSQI questionnaire to evaluate their sleep quality. In addition, they were inquired about their sleep schedule during day and night. Pearson correlation and multiple regression analyses were conducted to examine the correlation between HbA1c and sleep pattern variables. The variables were also compared between participants with or without napping using t-test. All analyses were performed with the SPSS version 19 (SPSS, Chicago, IL, USA. The mean age was 58±11 years and mean HbA1c (% was 7.8±11 (62±13 mmol/mol. Sleep duration and the number of sleep segments significantly predicted HbA1c (F (2,114=5.232, P=0.007, R2=0.084. A one-hour increment in sleep duration was associated with a 0.174% (1.4 mmol/mol decrement in HbA1c. PSQI score did not contribute to the regression model. Moreover, participants who napped (66% had a lower HbA1c (7.6±1 compared to others (8.1±1.3 (P=0.04. We concluded that napping and segmented sleep are associated with a better glycemic control in type 2 diabetes and there is a linear correlation between sleep duration and better glycemic control.

  1. Association between diet quality, dietary patterns and cardiometabolic health in Australian adults: a cross-sectional study.

    Science.gov (United States)

    Livingstone, Katherine M; McNaughton, Sarah A

    2018-02-12

    Diet quality indices score dietary intakes against recommendations, whereas dietary patterns consider the pattern and combination of dietary intakes. Studies evaluating both methodologies in relation to cardiometabolic health in a nationally representative sample are limited. The aim of the present study was to investigate the relationship between diet quality, dietary patterns and markers of cardiometabolic health in Australian adults. Dietary data, using two 24-h dietary recalls, were collected from adults in the cross-sectional Australian Health Survey 2011-2013 (n = 2121; 46.4 (SE 0.48) years). Diet quality was estimated using the Dietary Guideline Index (DGI). Dietary patterns (DPs), derived using reduced rank regression, were estimated using fiber density, SFA: PUFA and total sugars intake as intermediate markers. Multi-variable adjusted linear regression analyses were used to examine associations between diet quality and DPs and blood biomarkers, body mass index, waist circumference, diastolic and systolic blood pressure and an overall cardiometabolic risk score. DGI was associated with lower glucose (coef - 0.009, SE 0.004; P-trend = 0.033), body mass index (coef - 0.017, SE 0.007; P-trend = 0.019) and waist circumference (coef - 0.014, SE 0.005; P-trend = 0.008). Two dietary patterns were derived: dietary pattern-1 was characterized by higher intakes of pome fruit and wholegrain bread, while dietary pattern-2 was characterized by higher intakes of added sugars and tropical fruit. Dietary pattern-1 was associated with lower body mass index (coef - 0.028, SE 0.007; P-trendDietary pattern-2 was associated with lower HDL-cholesterol (coef - 0.026, SE 0.012; P-trend = 0.028). There was a trend towards lower diastolic blood pressure. No associations with other markers were observed. Better diet quality and healthier dietary patterns were primarily associated with favorable anthropometric markers of cardiometabolic health. Findings

  2. Food pattern and quality of life in metabolic syndrome patients who underwent coronary artery bypass grafting in Taiwan.

    Science.gov (United States)

    Tung, Heng-Hsin; Tseng, Li-Hua; Wei, Jeng; Lin, Cheng-Hsin; Wang, Tsae-Jyy; Liang, Shu-Yuan

    2011-12-01

    Metabolic syndrome is associated with poor operative outcomes of coronary artery bypass grafting surgery (CABG). A healthy food pattern for metabolic syndrome patients is necessary not only in the initial stage to prevent cardiovascular disease but for those who experience cardiovascular problems and undergo heart surgery. Empirical studies that explore food pattern and quality of life metabolic syndrome patients who undergo CABG are lacking. Therefore, the objectives of this study are to explore the food pattern and quality of life of metabolic syndrome patients who undergo CABG and to examine the relationship between these two variables. A descriptive, correlational and cross section design was conducted. Through convenience sampling, 104 patients were recruited. Data were collected through three instruments: a demographic questionnaire; the Chinese Food Frequency Questionnaire-Short Form (Short C-FFQ), used to assess food pattern; and the Taiwanese version of the Medical Outcomes Study Short Form 36-Health Survey (SF-36), used to assess quality of life. Descriptive analysis, one-way analysis of variance (ANOVA) and Pearson correlation were used to analyze the data. The results indicated that patients who ate fruit more frequently tended to have a better quality of life, while the intake of fried food was more frequently associated with a poor quality of life. The use of these data gives the health care provider a better understanding of food pattern and their impact on quality of life in this population. Such an understanding can be used to develop targeted interventions to promote health in this and in other populations. Copyright © 2010 European Society of Cardiology. Published by Elsevier B.V. All rights reserved.

  3. Modeling Flow Pattern and Evolution of Meandering Channels with a Nonlinear Model

    Directory of Open Access Journals (Sweden)

    Leilei Gu

    2016-09-01

    Full Text Available Meander dynamics has been the focus of river engineering for decades; however, it remains a challenge for researchers to precisely replicate natural evolution processes of meandering channels with numerical models due to the high nonlinearity of the governing equations. The present study puts forward a nonlinear model to simulate the flow pattern and evolution of meandering channels. The proposed meander model adopts the nonlinear hydrodynamic submodel developed by Blanckaert and de Vriend, which accounts for the nonlinear interactions between secondary flow and main flow and therefore has no curvature restriction. With the computational flow field, the evolution process of the channel centerline is simulated using the Bank Erosion and Retreat Model (BERM developed by Chen and Duan. Verification against two laboratory flume experiments indicates the proposed meander model yields satisfactory agreement with the measured data. For comparison, the same experimental cases are also simulated with the linear version of the hydrodynamic submodel. Calculated results show that the flow pattern and meander evolution process predicted by the nonlinear and the linear models are similar for mildly curved channels, whereas they exhibit different characteristics when channel sinuosity becomes relatively high. It is indicated that the nonlinear interactions between main flow and secondary flow prevent the growth of the secondary flow and induce a more uniform transverse velocity profile in high-sinuosity channels, which slows down the evolution process of meandering channels.

  4. Toward a Simple Framework for Understanding the Influence of Litter Quality on Vertical and Horizontal Patterns of Soil Organic Matter Pools

    Science.gov (United States)

    Craig, M.; Phillips, R.

    2016-12-01

    Decades of research have revealed that plant litter quality fundamentally influences soil organic matter (SOM) properties. Yet we lack the predictive frameworks necessary to up-scale our understanding of these dynamics in biodiverse systems. Given that ectomycorrhizal (EM) and arbuscular mycorrhizal (AM) plants are thought to differ in their litter quality, we ask whether this dichotomy represents a framework for understanding litter quality effects on SOM in temperate forests. To do this, we sampled soils from 250 spatially referenced locations within a 25-Ha plot where 28,000 trees had been georeferenced, and analyzed spatial patterns of plant and SOM properties. We then examined the extent to which the dominance of AM- versus EM-trees relates to 1) the quality of litter inputs to forest soils and 2) the horizontal and vertical distribution of SOM fractions. We found that leaf litters produced by EM-associated trees were generally of lower quality, having a lower concentration of soluble compounds and higher C:N. Concomitant with this, we observed higher soil C:N under EM trees. Interestingly, this reflected greater N storage in AM-dominated soils rather than greater C storage in EM-dominated soils. These patterns were driven by the storage of SOM in N-rich fractions in AM-dominated soils. Specifically, trees with high litter quality were associated with greater amounts of deep and mineral-associated SOM; pools that are generally considered stable. Our results support the recent contention that high-quality plant inputs should lead to the formation of stable SOM and suggest that the AM-EM framework may provide a way forward for representing litter quality effects on SOM in earth system models.

  5. A New Empirical Sewer Water Quality Model for the Prediction of WWTP Influent Quality

    NARCIS (Netherlands)

    Langeveld, J.G.; Schilperoort, R.P.S.; Rombouts, P.M.M.; Benedetti, L.; Amerlinck, Y.; de Jonge, J.; Flameling, T.; Nopens, I.; Weijers, S.

    2014-01-01

    Modelling of the integrated urban water system is a powerful tool to optimise wastewater system performance or to find cost-effective solutions for receiving water problems. One of the challenges of integrated modelling is the prediction of water quality at the inlet of a WWTP. Recent applications

  6. A parametric study of laser interference surface patterning of dental zirconia: Effects of laser parameters on topography and surface quality.

    Science.gov (United States)

    Roitero, Erica; Lasserre, Federico; Anglada, Marc; Mücklich, Frank; Jiménez-Piqué, Emilio

    2017-01-01

    The aim of this work is to generate micrometric linear patterns with different topography on dental grade zirconia by means of UV laser interference and to assess the quality of the produced surface, both in term of the geometry produced and of the surface damage induced in the material. The third harmonic of a Q-switched Nd:YAG laser (355nm, pulse duration of 10ns and repetition rate of 1Hz) was employed to pattern the surface of 3Y-TZP with micrometric-spaced lines. The resulting topography was characterized with White Light Interferometry and Scanning electron microscopy: pattern depth (H), amplitude roughness parameters (S a , filtered-S a ), Fourier spatial analysis and collateral damages were related to laser fluence and number of pulses employed. With our experimental setup, line-patterning of zirconia surfaces can be achieved with periodicities comprised within 5 and 15μm. Tuning laser parameters allows varying independently pattern depth, overall roughness and surface finish. Increasing both fluence and number of pulses allows producing deeper patterns (maximum achievable depth of 1μm). However, increasing the number of pulses has a detrimental effect on the quality of the produced lines. Surface damage (intergranular cracking, open porosity and nano-droplets formation) can be generated, depending on laser parameters. This work provides a parametric analysis of surface patterning by laser interference on 3Y-TZP. Best conditions in terms of quality of the produced pattern and minimum material damage are obtained for low number of pulses with high laser fluence. With the employed method we can produce zirconia materials with controlled topography that are expected to enhance biological response and mechanical performance of dental components. Copyright © 2016 The Academy of Dental Materials. Published by Elsevier Ltd. All rights reserved.

  7. QAM: PROPOSED MODEL FOR QUALITY ASSURANCE IN CBSS

    Directory of Open Access Journals (Sweden)

    Latika Kharb

    2015-08-01

    Full Text Available Component-based software engineering (CBSE / Component-Based Development (CBD lays emphasis on decomposition of the engineered systems into functional or logical components with well-defined interfaces used for communication across the components. Component-based software development approach is based on the idea to develop software systems by selecting appropriate off-the-shelf components and then to assemble them with a well-defined software architecture. Because the new software development paradigm is much different from the traditional approach, quality assurance for component-based software development is a new topic in the software engineering research community. Because component-based software systems are developed on an underlying process different from that of the traditional software, their quality assurance model should address both the process of components and the process of the overall system. Quality assurance for component-based software systems during the life cycle is used to analyze the components for achievement of high quality component-based software systems. Although some Quality assurance techniques and component based approach to software engineering have been studied, there is still no clear and well-defined standard or guidelines for component-based software systems. Therefore, identification of the quality assurance characteristics, quality assurance models, quality assurance tools and quality assurance metrics, are under urgent need. As a major contribution in this paper, I have proposed QAM: Quality Assurance Model for component-based software development, which covers component requirement analysis, component development, component certification, component architecture design, integration, testing, and maintenance.

  8. Sensory processing patterns, coping strategies, and quality of life among patients with unipolar and bipolar disorders

    Directory of Open Access Journals (Sweden)

    Batya Engel-Yeger

    2016-01-01

    Full Text Available Objective: To compare sensory processing, coping strategies, and quality of life (QoL in unipolar and bipolar patients; to examine correlations between sensory processing and QoL; and to investigate the relative contribution of sociodemographic characteristics, sensory processing, and coping strategies to the prediction of QoL. Methods: Two hundred sixty-seven participants, aged 16-85 years (53.6±15.7, of whom 157 had a diagnosis of unipolar major depressive disorder and 110 had bipolar disorder type I and type II, completed the Adolescent/Adult Sensory Profile, Coping Orientations to Problems Experienced, and 12-item Short-Form Health Survey version 2. The two groups were compared with multivariate analyses. Results: The unipolar and bipolar groups did not differ concerning sensory processing, coping strategies, or QoL. Sensory processing patterns correlated with QoL independently of mediation by coping strategies. Correlations between low registration, sensory sensitivity, sensation avoidance, and reduced QoL were found more frequently in unipolar patients than bipolar patients. Higher physical QoL was mainly predicted by lower age and lower sensory sensitivity, whereas higher mental QoL was mainly predicted by coping strategies. Conclusion: While age may predict physical QoL, coping strategies predict mental QoL. Future studies should further investigate the impact of sensory processing and coping strategies on patients’ QoL in order to enhance adaptive and functional behaviors related to affective disturbances.

  9. Sensory processing patterns, coping strategies, and quality of life among patients with unipolar and bipolar disorders.

    Science.gov (United States)

    Engel-Yeger, Batya; Gonda, Xenia; Muzio, Caterina; Rinosi, Giorgio; Pompili, Maurizio; Amore, Mario; Serafini, Gianluca

    2016-01-01

    To compare sensory processing, coping strategies, and quality of life (QoL) in unipolar and bipolar patients; to examine correlations between sensory processing and QoL; and to investigate the relative contribution of sociodemographic characteristics, sensory processing, and coping strategies to the prediction of QoL. Two hundred sixty-seven participants, aged 16-85 years (53.6±15.7), of whom 157 had a diagnosis of unipolar major depressive disorder and 110 had bipolar disorder type I and type II, completed the Adolescent/Adult Sensory Profile, Coping Orientations to Problems Experienced, and 12-item Short-Form Health Survey version 2. The two groups were compared with multivariate analyses. The unipolar and bipolar groups did not differ concerning sensory processing, coping strategies, or QoL. Sensory processing patterns correlated with QoL independently of mediation by coping strategies. Correlations between low registration, sensory sensitivity, sensation avoidance, and reduced QoL were found more frequently in unipolar patients than bipolar patients. Higher physical QoL was mainly predicted by lower age and lower sensory sensitivity, whereas higher mental QoL was mainly predicted by coping strategies. While age may predict physical QoL, coping strategies predict mental QoL. Future studies should further investigate the impact of sensory processing and coping strategies on patients' QoL in order to enhance adaptive and functional behaviors related to affective disturbances.

  10. Alcohol drinking patterns and health-related quality of life reported in the Spanish adult population.

    Science.gov (United States)

    Valencia-Martín, José Lorenzo; Galán, Iñaki; Guallar-Castillón, Pilar; Rodríguez-Artalejo, Fernando

    2013-11-01

    To examine the association between alcohol drinking patterns and health-related quality of life (HRQL). Population-based cross-sectional study was conducted in 2008-2010 among 12,715 adult individuals in Spain. HRQL was assessed with the SF-12 questionnaire and alcohol intake with a diet history. The threshold between average moderate drinking and average heavy drinking was ≥ 40 g/day of alcohol in men and ≥ 24 g/day in women. Binge drinking was defined as the intake of ≥ 80 g in men and ≥ 60 g in women at any drinking session during the preceding 30 days. Analyses were performed with linear regression and adjusted for the main confounders. Compared to non-drinkers, all types of average drinkers reported better scores on the SF-12 physical component: β=1.42 (95% confidence interval 1.03 to 1.81) in moderate drinkers and β=1.86 (1.07 to 2.64) in heavy drinkers. In contrast, average alcohol consumption was not associated with the mental component of the SF-12. The number of binge drinking episodes and most types of beverage preference showed no association with physical or mental HRQL. Alcohol drinkers, including those with heavy drinking, reported better physical HRQL than non-drinkers. © 2013.

  11. PRICE VS QUALITY COMPETITION AND THE SPATIAL PATTERN OF AVERAGE PRICES IN INTERNATIONAL TRADE

    Directory of Open Access Journals (Sweden)

    Mattoscio Nicola

    2012-07-01

    Full Text Available This work investigates the relationship between the average export prices and the distance between the origin and the destination market in international trade. Distance between trading partners obviously stands at the core of I international trade literature and is strictly related with the issue of how countries and firms compete on export markets when transport costs become increasingly stiff. Heterogeneous-Firm Trade (HFT models predict that only most competitive firms are able to export on distant markets, where it is more difficult to recover from freight costs. However, this simple concept does not lead to unambiguous predictions on the spatial pattern of average export f.o.b. prices. \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\r\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\

  12. Towards an Approach for Modeling and Formalizing SOA Design Patterns with Event-B

    OpenAIRE

    Tounsi , Imen; Hadj Kacem , Mohamed; Hadj Kacem , Ahmed; Drira , Khalil

    2013-01-01

    International audience; This paper introduces a formal architecture-centric approach, which allows first to model message-oriented SOA design patterns with the SoaML standard language, and second to formally specify these patterns at a high level of abstraction using the Event-B method. These two steps are performed before undertaking the effective coding of a design pattern providing correct by construction pattern-based software architectures. We implement our approach under the Rodin platfor...

  13. Measuring Teacher Quality with Value-Added Modeling

    Science.gov (United States)

    Marder, Michael

    2012-01-01

    Using computers to evaluate teachers based on student test scores is more difficult than it seems. Value-added modeling is a genuinely serious attempt to grapple with the difficulties. Value-added modeling carries the promise of measuring teacher quality automatically and objectively, and improving school systems at minimal cost. The essence of…

  14. Modelling consumers' preferences for Novel Protein Foods and environmental quality

    NARCIS (Netherlands)

    Zhu, X.; Ierland, van E.C.

    2005-01-01

    We develop a theoretical Applied General Equilibrium (AGE) model that explicitly includes the environmental input in production functions and the consumers' preferences for environmental quality in utility functions. We empirically apply the model to provide some insights into the effects of the

  15. WATER QUALITY MODELING IN THE RIO CHONE ESTUARY

    Science.gov (United States)

    Water quality in the Rio Chone Estuary, a seasonally inverse, tropical estuary, in Ecuador was characterized by modeling the distribution of biochemical oxygen demand (BOD) and dissolved inorganic nitrogen (DIN) within the water column. These two variables are modeled using modif...

  16. Quality quantification model of basic raw materials

    Directory of Open Access Journals (Sweden)

    Š. Vilamová

    2016-07-01

    Full Text Available Basic raw materials belong to the key input sources in the production of pig iron. The properties of basic raw materials can be evaluated using a variety of criteria. The essential ones include the physical and chemical properties. Current competitive pressures, however, force the producers of iron more and more often to include cost and logistic criteria into the decision-making process. In this area, however, they are facing a problem of how to convert a variety of vastly different parameters into one evaluation indicator in order to compare the available raw materials. This article deals with the analysis of a model created to evaluate the basic raw materials, which was designed as part of the research.

  17. Terminology and methodology in modelling for water quality management

    DEFF Research Database (Denmark)

    Carstensen, J.; Vanrolleghem, P.; Rauch, W.

    1997-01-01

    of the most widely used terms for characterising models and within the process of model building. It is essential to the ever growing society of researchers within water quality management, that communication is eased by establishing a common terminology. This should not be done by giving broader definitions......There is a widespread need for a common terminology in modelling for water quality management. This paper points out sources of confusion in the communication between researchers due to misuse of existing terminology or use of unclear terminology. The paper attempts to clarify the context...

  18. Development and application of new quality model for software projects.

    Science.gov (United States)

    Karnavel, K; Dillibabu, R

    2014-01-01

    The IT industry tries to employ a number of models to identify the defects in the construction of software projects. In this paper, we present COQUALMO and its limitations and aim to increase the quality without increasing the cost and time. The computation time, cost, and effort to predict the residual defects are very high; this was overcome by developing an appropriate new quality model named the software testing defect corrective model (STDCM). The STDCM was used to estimate the number of remaining residual defects in the software product; a few assumptions and the detailed steps of the STDCM are highlighted. The application of the STDCM is explored in software projects. The implementation of the model is validated using statistical inference, which shows there is a significant improvement in the quality of the software projects.

  19. Model-based monitoring of stormwater runoff quality

    DEFF Research Database (Denmark)

    Birch, Heidi; Vezzaro, Luca; Mikkelsen, Peter Steen

    2013-01-01

    Monitoring of micropollutants (MP) in stormwater is essential to evaluate the impacts of stormwater on the receiving aquatic environment. The aim of this study was to investigate how different strategies for monitoring of stormwater quality (combining a model with field sampling) affect...... the information obtained about MP discharged from the monitored system. A dynamic stormwater quality model was calibrated using MP data collected by automatic volume-proportional sampling and passive sampling in a storm drainage system on the outskirts of Copenhagen (Denmark) and a 10-year rain series was used......) for calibration of the model, resulted in the same predicted level but with narrower model prediction bounds than by using volume-proportional samples for calibration. This shows that passive sampling allows for a better exploitation of the resources allocated for stormwater quality monitoring....

  20. Dietary Intake Patterns and Diet Quality in a Nationally Representative Sample of Women With and Without Severe Headache or Migraine

    Science.gov (United States)

    Evans, E. Whitney; Lipton, Richard B.; Peterlin, B. Lee; Raynor, Hollie A.; Thomas, J. Graham; O'Leary, Kevin C.; Pavlovic, Jelena; Wing, Rena R.; Bond, Dale S.

    2015-01-01

    Objective/Background The role of diet in migraine is not well understood. We sought to characterize usual dietary intake patterns and diet quality in a nationally representative sample of women with and without severe headache or migraine. We also examined whether the relationship between migraine and diet differs by weight status. Methods In this analysis, women with migraine or severe headache status was determined by questionnaire for 3069 women, ages 20-50 years, who participated in the National Health and Nutrition Examination Study, 1999-2004. Women who experienced severe headaches or migraines were classified as migraine for the purposes of this analysis. Dietary intake patterns (micro- and macronutrient intake and eating frequency) and diet quality, measured by the Healthy Eating Index, 2005, were determined using one 24-hour dietary recall. Results Dietary intake patterns did not significantly differ between women with and without migraine. Normal weight women with migraine had significantly lower diet quality (Healthy Eating Index, 2005 total scores) than women without migraine (52.5 ± 0.9 vs 45.9 ± 1.0; P < .0001). Conclusions Whereas findings suggest no differences in dietary intake patterns among women with and without migraine, dietary quality differs by migraine status in normal weight women. Prospective analyses are needed to establish how diet relates to migraine onset, characteristics, and clinical features in individuals of varying weight status. PMID:25758250

  1. A methodology model for quality management in a general hospital.

    Science.gov (United States)

    Stern, Z; Naveh, E

    1997-01-01

    A reappraisal is made of the relevance of industrial modes of quality management to the issues of medical care. Analysis of the nature of medical care, which differentiates it from the supplier-client relationships of industry, presents the main intrinsic characteristics, which create problems in application of the industrial quality management approaches to medical care. Several examples are the complexity of the relationship between the medical action and the result obtained, the client's nonacceptance of economic profitability as a value in his medical care, and customer satisfaction biased by variable standards of knowledge. The real problems unique to hospitals are addressed, and a methodology model for their quality management is offered. Included is a sample of indicator vectors, measurements of quality care, cost of medical care, quality of service, and human resources. These are based on the trilogy of planning quality, quality control, and improving quality. The conclusions confirm the inadequacy of industrial quality management approaches for medical institutions and recommend investment in formulation of appropriate concepts.

  2. A model to explain joint patterns found in ignimbrite deposits

    Science.gov (United States)

    Tibaldi, A.; Bonali, F. L.

    2018-03-01

    The study of fracture systems is of paramount importance for economic applications, such as CO2 storage in rock successions, geothermal and hydrocarbon exploration and exploitation, and also for a better knowledge of seismogenic fault formation. Understanding the origin of joints can be useful for tectonic studies and for a geotechnical characterisation of rock masses. Here, we illustrate a joint pattern discovered in ignimbrite deposits of South America, which can be confused with conjugate tectonic joint sets but which have another origin. The pattern is probably common, but recognisable only in plan view and before tectonic deformation obscures and overprints it. Key sites have been mostly studied by field surveys in Bolivia and Chile. The pattern is represented by hundreds-of-meters up to kilometre-long swarms of master joints, which show circular to semi-circular geometries and intersections that have "X" and "Y" patterns. Inside each swarm, joints are systematic, rectilinear or curvilinear in plan view, and as much as 900 m long. In section view, they are from sub-vertical to vertical and do not affect the underlying deposits. Joints with different orientation mostly interrupt each other, suggesting they have the same age. This joint architecture is here interpreted as resulting from differential contraction after emplacement of the ignimbrite deposit above a complex topography. The set of the joint pattern that has suitable orientation with respect to tectonic stresses may act to nucleate faults.

  3. Embryo quality predictive models based on cumulus cells gene expression

    Directory of Open Access Journals (Sweden)

    Devjak R

    2016-06-01

    Full Text Available Since the introduction of in vitro fertilization (IVF in clinical practice of infertility treatment, the indicators for high quality embryos were investigated. Cumulus cells (CC have a specific gene expression profile according to the developmental potential of the oocyte they are surrounding, and therefore, specific gene expression could be used as a biomarker. The aim of our study was to combine more than one biomarker to observe improvement in prediction value of embryo development. In this study, 58 CC samples from 17 IVF patients were analyzed. This study was approved by the Republic of Slovenia National Medical Ethics Committee. Gene expression analysis [quantitative real time polymerase chain reaction (qPCR] for five genes, analyzed according to embryo quality level, was performed. Two prediction models were tested for embryo quality prediction: a binary logistic and a decision tree model. As the main outcome, gene expression levels for five genes were taken and the area under the curve (AUC for two prediction models were calculated. Among tested genes, AMHR2 and LIF showed significant expression difference between high quality and low quality embryos. These two genes were used for the construction of two prediction models: the binary logistic model yielded an AUC of 0.72 ± 0.08 and the decision tree model yielded an AUC of 0.73 ± 0.03. Two different prediction models yielded similar predictive power to differentiate high and low quality embryos. In terms of eventual clinical decision making, the decision tree model resulted in easy-to-interpret rules that are highly applicable in clinical practice.

  4. Improved protein model quality assessments by changing the target function.

    Science.gov (United States)

    Uziela, Karolis; Menéndez Hurtado, David; Shu, Nanjiang; Wallner, Björn; Elofsson, Arne

    2018-03-09

    Protein modeling quality is an important part of protein structure prediction. We have for more than a decade developed a set of methods for this problem. We have used various types of description of the protein and different machine learning methodologies. However, common to all these methods has been the target function used for training. The target function in ProQ describes the local quality of a residue in a protein model. In all versions of ProQ the target function has been the S-score. However, other quality estimation functions also exist, which can be divided into superposition- and contact-based methods. The superposition-based methods, such as S-score, are based on a rigid body superposition of a protein model and the native structure, while the contact-based methods compare the local environment of each residue. Here, we examine the effects of retraining our latest predictor, ProQ3D, using identical inputs but different target functions. We find that the contact-based methods are easier to predict and that predictors trained on these measures provide some advantages when it comes to identifying the best model. One possible reason for this is that contact based methods are better at estimating the quality of multi-domain targets. However, training on the S-score gives the best correlation with the GDT_TS score, which is commonly used in CASP to score the global model quality. To take the advantage of both of these features we provide an updated version of ProQ3D that predicts local and global model quality estimates based on different quality estimates. © 2018 Wiley Periodicals, Inc.

  5. Towards benchmarking an in-stream water quality model

    Directory of Open Access Journals (Sweden)

    2007-01-01

    Full Text Available A method of model evaluation is presented which utilises a comparison with a benchmark model. The proposed benchmarking concept is one that can be applied to many hydrological models but, in this instance, is implemented in the context of an in-stream water quality model. The benchmark model is defined in such a way that it is easily implemented within the framework of the test model, i.e. the approach relies on two applications of the same model code rather than the application of two separate model codes. This is illustrated using two case studies from the UK, the Rivers Aire and Ouse, with the objective of simulating a water quality classification, general quality assessment (GQA, which is based on dissolved oxygen, biochemical oxygen demand and ammonium. Comparisons between the benchmark and test models are made based on GQA, as well as a step-wise assessment against the components required in its derivation. The benchmarking process yields a great deal of important information about the performance of the test model and raises issues about a priori definition of the assessment criteria.

  6. Mathematical models for atmospheric pollutants. Appendix D. Available air quality models. Final report

    International Nuclear Information System (INIS)

    Drake, R.L.; McNaughton, D.J.; Huang, C.

    1979-08-01

    Models that are available for the analysis of airborne pollutants are summarized. In addition, recommendations are given concerning the use of particular models to aid in particular air quality decision making processes. The air quality models are characterized in terms of time and space scales, steady state or time dependent processes, reference frames, reaction mechanisms, treatment of turbulence and topography, and model uncertainty. Using these characteristics, the models are classified in the following manner: simple deterministic models, such as air pollution indices, simple area source models and rollback models; statistical models, such as averaging time models, time series analysis and multivariate analysis; local plume and puff models; box and multibox models; finite difference or grid models; particle models; physical models, such as wind tunnels and liquid flumes; regional models; and global models

  7. No-reference stereoscopic image quality measurement based on generalized local ternary patterns of binocular energy response

    Science.gov (United States)

    Zhou, Wujie; Yu, Lu

    2015-09-01

    Perceptual no-reference (NR) quality measurement of stereoscopic images has become a challenging issue in three-dimensional (3D) imaging fields. In this article, we propose an efficient binocular quality-aware features extraction scheme, namely generalized local ternary patterns (GLTP) of binocular energy response, for general-purpose NR stereoscopic image quality measurement (SIQM). More specifically, we first construct the binocular energy response of a distorted stereoscopic image with different stimuli of amplitude and phase shifts. Then, the binocular quality-aware features are generated from the GLTP of the binocular energy response. Finally, these features are mapped to the subjective quality score of the distorted stereoscopic image by using support vector regression. Experiments on two publicly available 3D databases confirm the effectiveness of the proposed metric compared with the state-of-the-art full reference and NR metrics.

  8. No-reference stereoscopic image quality measurement based on generalized local ternary patterns of binocular energy response

    International Nuclear Information System (INIS)

    Zhou, Wujie; Yu, Lu

    2015-01-01

    Perceptual no-reference (NR) quality measurement of stereoscopic images has become a challenging issue in three-dimensional (3D) imaging fields. In this article, we propose an efficient binocular quality-aware features extraction scheme, namely generalized local ternary patterns (GLTP) of binocular energy response, for general-purpose NR stereoscopic image quality measurement (SIQM). More specifically, we first construct the binocular energy response of a distorted stereoscopic image with different stimuli of amplitude and phase shifts. Then, the binocular quality-aware features are generated from the GLTP of the binocular energy response. Finally, these features are mapped to the subjective quality score of the distorted stereoscopic image by using support vector regression. Experiments on two publicly available 3D databases confirm the effectiveness of the proposed metric compared with the state-of-the-art full reference and NR metrics. (paper)

  9. Comparison of different statistical modelling approaches for deriving spatial air temperature patterns in an urban environment

    Science.gov (United States)

    Straub, Annette; Beck, Christoph; Breitner, Susanne; Cyrys, Josef; Geruschkat, Uta; Jacobeit, Jucundus; Kühlbach, Benjamin; Kusch, Thomas; Richter, Katja; Schneider, Alexandra; Umminger, Robin; Wolf, Kathrin

    2017-04-01

    Frequently spatial variations of air temperature of considerable magnitude occur within urban areas. They correspond to varying land use/land cover characteristics and vary with season, time of day and synoptic conditions. These temperature differences have an impact on human health and comfort directly by inducing thermal stress as well as indirectly by means of affecting air quality. Therefore, knowledge of the spatial patterns of air temperature in cities and the factors causing them is of great importance, e.g. for urban planners. A multitude of studies have shown statistical modelling to be a suitable tool for generating spatial air temperature patterns. This contribution presents a comparison of different statistical modelling approaches for deriving spatial air temperature patterns in the urban environment of Augsburg, Southern Germany. In Augsburg there exists a measurement network for air temperature and humidity currently comprising 48 stations in the city and its rural surroundings (corporately operated by the Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health and the Institute of Geography, University of Augsburg). Using different datasets for land surface characteristics (Open Street Map, Urban Atlas) area percentages of different types of land cover were calculated for quadratic buffer zones of different size (25, 50, 100, 250, 500 m) around the stations as well for source regions of advective air flow and used as predictors together with additional variables such as sky view factor, ground level and distance from the city centre. Multiple Linear Regression and Random Forest models for different situations taking into account season, time of day and weather condition were applied utilizing selected subsets of these predictors in order to model spatial distributions of mean hourly and daily air temperature deviations from a rural reference station. Furthermore, the different model setups were

  10. Pattern Formation in Predator-Prey Model with Delay and Cross Diffusion

    Directory of Open Access Journals (Sweden)

    Xinze Lian

    2013-01-01

    Full Text Available We consider the effect of time delay and cross diffusion on the dynamics of a modified Leslie-Gower predator-prey model incorporating a prey refuge. Based on the stability analysis, we demonstrate that delayed feedback may generate Hopf and Turing instability under some conditions, resulting in spatial patterns. One of the most interesting findings is that the model exhibits complex pattern replication: the model dynamics exhibits a delay and diffusion controlled formation growth not only to spots, stripes, and holes, but also to spiral pattern self-replication. The results indicate that time delay and cross diffusion play important roles in pattern formation.

  11. Systems Engineering Metrics: Organizational Complexity and Product Quality Modeling

    Science.gov (United States)

    Mog, Robert A.

    1997-01-01

    Innovative organizational complexity and product quality models applicable to performance metrics for NASA-MSFC's Systems Analysis and Integration Laboratory (SAIL) missions and objectives are presented. An intensive research effort focuses on the synergistic combination of stochastic process modeling, nodal and spatial decomposition techniques, organizational and computational complexity, systems science and metrics, chaos, and proprietary statistical tools for accelerated risk assessment. This is followed by the development of a preliminary model, which is uniquely applicable and robust for quantitative purposes. Exercise of the preliminary model using a generic system hierarchy and the AXAF-I architectural hierarchy is provided. The Kendall test for positive dependence provides an initial verification and validation of the model. Finally, the research and development of the innovation is revisited, prior to peer review. This research and development effort results in near-term, measurable SAIL organizational and product quality methodologies, enhanced organizational risk assessment and evolutionary modeling results, and 91 improved statistical quantification of SAIL productivity interests.

  12. Impact of inherent meteorology uncertainty on air quality model predictions

    Science.gov (United States)

    Gilliam, Robert C.; Hogrefe, Christian; Godowitch, James M.; Napelenok, Sergey; Mathur, Rohit; Rao, S. Trivikrama

    2015-12-01

    It is well established that there are a number of different classifications and sources of uncertainties in environmental modeling systems. Air quality models rely on two key inputs, namely, meteorology and emissions. When using air quality models for decision making, it is important to understand how uncertainties in these inputs affect the simulated concentrations. Ensembles are one method to explore how uncertainty in meteorology affects air pollution concentrations. Most studies explore this uncertainty by running different meteorological models or the same model with different physics options and in some cases combinations of different meteorological and air quality models. While these have been shown to be useful techniques in some cases, we present a technique that leverages the initial condition perturbations of a weather forecast ensemble, namely, the Short-Range Ensemble Forecast system to drive the four-dimensional data assimilation in the Weather Research and Forecasting (WRF)-Community Multiscale Air Quality (CMAQ) model with a key focus being the response of ozone chemistry and transport. Results confirm that a sizable spread in WRF solutions, including common weather variables of temperature, wind, boundary layer depth, clouds, and radiation, can cause a relatively large range of ozone-mixing ratios. Pollutant transport can be altered by hundreds of kilometers over several days. Ozone-mixing ratios of the ensemble can vary as much as 10-20 ppb or 20-30% in areas that typically have higher pollution levels.

  13. Stochastic resonance in pattern recognition by a holographic neuron model.

    Science.gov (United States)

    Stoop, R; Buchli, J; Keller, G; Steeb, W-H

    2003-06-01

    The recognition rate of holographic neural synapses, performing a pattern recognition task, is significantly higher when applied to natural, rather than artificial, images. This shortcoming of artificial images can be largely compensated for, if noise is added to the input pattern. The effect is the result of a trade-off between optimal representation of the stimulus (for which noise is favorable) and keeping as much as possible of the stimulus-specific information (for which noise is detrimental). The observed mechanism may play a prominent role for simple biological sensors.

  14. Nutrition Facts Panel use is associated with diet quality and dietary patterns among Latinos with type 2 diabetes.

    Science.gov (United States)

    Kollannoor-Samuel, Grace; Segura-Pérez, Sofia; Shebl, Fatma M; Hawley, Nicola L; Damio, Grace; Chhabra, Jyoti; Vega-López, Sonia; Fernandez, Maria Luz; Pérez-Escamilla, Rafael

    2017-11-01

    The study aims were to (i) identify determinants of Nutrition Facts Panel (NFP) use and (ii) describe the association between NFP use and dietary intake among Latinos with type 2 diabetes. Baseline cross-sectional data from a clinical trial were used to assess the association between NFP use and dietary intake. Diet was measured using two methods: (i) a diet quality score (the Healthy Eating Index-2010) derived from a single 24 h recall and (ii) dietary pattern (exploratory factor analyses) from an FFQ. Multivariable logistic and non-parametric quantile regressions were conducted, as appropriate. Settings Hartford County, Connecticut, USA. Latino adults (n 203), ≥21 years of age, with diagnosed type 2 diabetes, glycosylated Hb≥7 %, and without medical conditions limiting physical activity. Participants' education level, diabetes-related knowledge and English speaking were positively associated with NFP use. At the higher percentiles of diet quality score, NFP use was significantly associated with higher diet quality. Similarly, NFP users were more likely to consume a 'healthy' dietary pattern (P=0·003) and less likely to consume a 'fried snack' pattern (P=0·048) compared with NFP non-users. The association between reported NFP use and diet quality was positive and significantly stronger among participants who reported consuming a healthier diet. While NFP use was associated with a healthier dietary pattern, not using NFP was associated with a less-healthy, fried snack pattern. Longitudinal studies are needed to understand whether improving NFP use could be an effective intervention to improve diet quality among Latinos with type 2 diabetes.

  15. Post-Hoc Pattern-Oriented Testing and Tuning of an Existing Large Model

    DEFF Research Database (Denmark)

    Topping, Christopher John; Dalkvist, Trine; Grimm, Volker

    2012-01-01

    Pattern-oriented modeling (POM) is a general strategy for modeling complex systems. In POM, multiple patterns observed at different scales and hierarchical levels are used to optimize model structure, to test and select sub-models of key processes, and for calibration. So far, POM has been used...... environment closely. We therefore conclude that post-hoc POM is a useful and viable way to test a highly complex simulation model, but also warn against the dangers of over-fitting to real world patterns that lack details in their explanatory driving factors. To overcome some of these obstacles we suggest...... for developing new models and for models of low to moderate complexity. It remains unclear, though, whether the basic idea of POM to utilize multiple patterns, could also be used to test and possibly develop existing and established models of high complexity. Here, we use POM to test, calibrate, and further...

  16. Value-exchange patterns in business models of intermediaries that offer negotiation services

    NARCIS (Netherlands)

    Zlatev, Z.V.; van Eck, Pascal; Wieringa, Roelf J.

    This document is a library of value-exchange patterns. A value-exchange pattern is a repeatedly occurring fragment in value-based business models. The collection is drawn out of business models of market intermediaries that offer negotiation services. The intermediaries are selected as a result of

  17. Power quality analysis of STATCOM using dynamic phasor modeling

    Energy Technology Data Exchange (ETDEWEB)

    Hannan, M.A.; Mohamed, A.; Hussain, A.; AI-Dabbagh, Majid [Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering, National University of Malaysia, 43600 Bangi, Selangor (Malaysia)

    2009-06-15

    Modeling of synchronous static compensator (STATCOM) of a power system based on the dynamic phasor model to investigate the performance of STATCOM for power quality analysis is described. It is compared with electromagnetic transient program (EMTP) like simulation. The dynamic phasor model and electromagnetic transient (EMT) model of the STATCOM including the power system are implemented in Matlab/Simulink toolbox and PSCAD/EMTDC, respectively. STATCOM dynamic phasor model including switching functions and their control system are presented. A satisfactory solution for power quality problems on typical distribution network is analyzed using the dynamic phasor model and EMTP like PSCAD/EMTDC simulation techniques. The simulation results revealed that the dynamic phasor model of STATCOM is in excellent agreement with the detailed time-domain EMT model of PSCAD/EMTDC simulation. The dynamic behavior of STATCOM using phasor model can be applied for analyzing power quality issues. It is found faster in speed and higher accuracy can be obtained and correlates well with PSCAD/EMTDC simulation results. (author)

  18. A model of filamentous cyanobacteria leading to reticulate pattern formation

    NARCIS (Netherlands)

    Tamulonis, C.; Kaandorp, J.

    2014-01-01

    The filamentous cyanobacterium, Pseudanabaena, has been shown to produce reticulate patterns that are thought to be the result of its gliding motility. Similar fossilized structures found in the geological record constitute some of the earliest signs of life on Earth. It is difficult to tie these

  19. Assessment of errors and uncertainty patterns in GIA modeling

    DEFF Research Database (Denmark)

    Barletta, Valentina Roberta; Spada, G.

    , such as time-evolving shorelines and paleo-coastlines. In this study we quantify these uncertainties and their propagation in GIA response using a Monte Carlo approach to obtain spatio-temporal patterns of GIA errors. A direct application is the error estimates in ice mass balance in Antarctica and Greenland...

  20. Pattern formation in the bistable Gray-Scott model

    DEFF Research Database (Denmark)

    Mazin, W.; Rasmussen, K.E.; Mosekilde, Erik

    1996-01-01

    The paper presents a computer simulation study of a variety of far-from-equilibrium phenomena that can arise in a bistable chemical reaction-diffusion system which also displays Turing and Hopf instabilities. The Turing bifurcation curve and the wave number for the patterns of maximum linear grow...

  1. Organising nursing practice into care models that catalyse quality: A clinical nurse leader case study.

    Science.gov (United States)

    Bender, Miriam; Spiva, LeeAnna; Su, Wei; Hites, Lisle

    2018-02-09

    To determine the power of a conceptual clinical nurse leader practice model to explain the care model's enactment and trajectory in real world settings. How nursing, organised into specific models of care, functions as an organisational strategy for quality is not well specified. Clinical nurse leader integrated care delivery is one emerging model with growing adoption. A recently validated clinical nurse leader practice model conceptualizes the care model's characteristics and hypothesizes their mechanisms of action. Pattern matching case study design and mixed methods were used to determine how the care model's constructs were operationalized in one regional United States health system that integrated clinical nurse leaders into their care delivery system in 2010. The findings confirmed the empirical presence of all clinical nurse leader practice model constructs and provided a rich description of how the health system operationalized the constructs in practice. The findings support the hypothesized model pathway from Clinical Nurse Leader structuring to Clinical Nurse Leader practice and outcomes. The findings indicate analytic generalizability of the clinical nurse leader practice model. Nursing practice organised to focus on microsystem care processes can catalyse multidisciplinary engagement with, and consistent enactment of, quality practices. The model has great potential for transferability across diverse health systems. © 2018 John Wiley & Sons Ltd.

  2. Underwater Acoustic Communication Quality Evaluation Model Based on USV

    Directory of Open Access Journals (Sweden)

    Zhichao Lv

    2018-01-01

    Full Text Available The unmanned surface vehicle (USV integrated with acoustic modems has some advantages such as easy integration, rapid placement, and low cost, which becomes a kind of selective novel node in the underwater acoustic (UWA communication network and a kind of underwater or overwater communication relay as well. However, it is difficult to ensure the communication quality among the nodes on the network due to the random underwater acoustic channel, the severe marine environment, and the complex mobile node system. Aiming to model the communication characteristics of the USV, the multipath effect and Doppler effect are main concerns for the UWA communication in this paper, so that the ray beam method is utilized, the channel transmission function and the channel gain are obtained, and the mobile communication quality evaluation model is built. The simulation and lake experiments verify that the built mobile UWA communication quality evaluation model on USV can provide preference and technique support for USV applications.

  3. Measures of quality of process models created in BPMN

    Directory of Open Access Journals (Sweden)

    Radek Hronza

    2015-12-01

    Full Text Available Description, documentation, evaluation and redesign of key processes during their execution should be an essential part of the strategic management of any organization. All organizations live in a dynamically changing environment. Therefore they must adapt its internal processes to market changes. These processes must be described. Suitable way of description could be BPMN notation. Right after description of processes via BPMN, processes should be controlled to ensure expected of their quality. System (which could be automated based on mathematical expression of qualitative characteristics of process models (i.e. measures of quality of process models can support mentioned process controls. Research team trying to design and get into practical use such a tool. The aim of this publication is description of mentioned system – based on measures of the quality of process models - and answer associated scientific questions.

  4. Data Quality Enhanced Prediction Model for Massive Plant Data

    Energy Technology Data Exchange (ETDEWEB)

    Park, Moon-Ghu [Nuclear Engr. Sejong Univ., Seoul (Korea, Republic of); Kang, Seong-Ki [Monitoring and Diagnosis, Suwon (Korea, Republic of); Shin, Hajin [Saint Paul Preparatory Seoul, Seoul (Korea, Republic of)

    2016-10-15

    This paper introduces an integrated signal preconditioning and model prediction mainly by kernel functions. The performance and benefits of the methods are demonstrated by a case study with measurement data from a power plant and its components transient data. The developed methods will be applied as a part of monitoring massive or big data platform where human experts cannot detect the fault behaviors due to too large size of the measurements. Recent extensive efforts for on-line monitoring implementation insists that a big surprise in the modeling for predicting process variables was the extent of data quality problems in measurement data especially for data-driven modeling. Bad data for training will be learned as normal and can make significant degrade in prediction performance. For this reason, the quantity and quality of measurement data in modeling phase need special care. Bad quality data must be removed from training sets to the bad data considered as normal system behavior. This paper presented an integrated structure of supervisory system for monitoring the plants or sensors performance. The quality of the data-driven model is improved with a bilateral kernel filter for preprocessing of the noisy data. The prediction module is also based on kernel regression having the same basis with noise filter. The model structure is optimized by a grouping process with nonlinear Hoeffding correlation function.

  5. Data Quality Enhanced Prediction Model for Massive Plant Data

    International Nuclear Information System (INIS)

    Park, Moon-Ghu; Kang, Seong-Ki; Shin, Hajin

    2016-01-01

    This paper introduces an integrated signal preconditioning and model prediction mainly by kernel functions. The performance and benefits of the methods are demonstrated by a case study with measurement data from a power plant and its components transient data. The developed methods will be applied as a part of monitoring massive or big data platform where human experts cannot detect the fault behaviors due to too large size of the measurements. Recent extensive efforts for on-line monitoring implementation insists that a big surprise in the modeling for predicting process variables was the extent of data quality problems in measurement data especially for data-driven modeling. Bad data for training will be learned as normal and can make significant degrade in prediction performance. For this reason, the quantity and quality of measurement data in modeling phase need special care. Bad quality data must be removed from training sets to the bad data considered as normal system behavior. This paper presented an integrated structure of supervisory system for monitoring the plants or sensors performance. The quality of the data-driven model is improved with a bilateral kernel filter for preprocessing of the noisy data. The prediction module is also based on kernel regression having the same basis with noise filter. The model structure is optimized by a grouping process with nonlinear Hoeffding correlation function

  6. River-floodplain Hydrologic Connectivity: Impact on Temporal and Spatial Floodplain Water Quality and Productivity Patterns

    Science.gov (United States)

    Gallo, E. L.; Ahearn, D.; Dahlgren, R. A.; Grosholz, E.

    2003-12-01

    Nutrient spiraling and cycling are critical processes for floodplain systems, but these have not been well studied in western North America. Floodplain production and function relies on the integrity of river-floodplain interactions, particularly during periods of hydrologic connectivity. The purpose of this study was to: (1) determine the importance of the timing and duration of river-floodplain hydrologic connectivity, (2) link flood event water quality to subsequent primary and secondary production, and (3) identify temporal and spatial patterns of floodplain production. The Cosumnes River watershed transports surface runoff and snowmelt from the Sierra Nevadas to the Sacramento-San Joaquin Delta. It is one of the few watersheds in California that has no major water diversions or impoundments; therefore the river responds to the natural watershed hydrology. The study site in southern Sacramento County is an unmanaged experimental floodplain, one of the few remaining floodplains in California. Weekly and flood-event water quality and macroinvertebrate sampling was conducted during the flood season from January through June in 2001 and 2002. Both water years were characterized by historically low river flows. On average, volatile suspended solids in the water column increased from 5 mg/l to 10 mg/l during early season periods of hydrologic connectivity (December - February), suggesting that during watershed flushing flood events, the river acts as a source of nutrients and organic matter to the floodplain. Following a flood event, invertebrate concentrations decreased on average from 26,000 individuals/m3 to 9,000 individuals/m3 for zooplankton and from 350 individuals/m2 to 65 individuals/m2 for benthic macro-invertebrate, suggesting a net dilution of invertebrates during flood events. Chlorophyll a (chl-a) levels were also diluted during flood events, on average from 25 ppb to 5 ppb. Zooplankton densities and chl-a levels quickly rose after flood events. On

  7. Characterization of Galician (N.W. Spain) quality brand potatoes: a comparison study of several pattern recognition techniques.

    Science.gov (United States)

    Padín, P M; Peña, R M; García, S; Iglesias, R; Barro, S; Herrero, C

    2001-01-01

    Authenticity is an important food quality criterion and rapid methods to guarantee it are widely demanded by food producers, processors, consumers and regulatory bodies. The objective of this work was to develop a classification system in order to confirm the authenticity of Galician potatoes with a Certified Brand of Origin and Quality (CBOQ) 'Denominación Específica: Patata de Galicia' and to differentiate them from other potatoes that did not have this CBOQ. Ten selected metals were determined by atomic spectroscopy in 102 potato samples which were divided into two categories: CBOQ and non-CBOQ potatoes. Multivariate chemometric techniques, such as cluster analysis and principal component analysis, were applied to perform a preliminary study of the data structure. Four supervised pattern recognition procedures [including linear discriminant analysis (LDA), K-nearest neighbours (KNN), soft independent modelling of class analogy (SIMCA) and multilayer feed-forward neural networks (MLF-ANN)] were used to classify samples into the two categories considered on the basis of the chemical data. Results for LDA, KNN and MLF-ANN are acceptable for the non-CBOQ class, whereas SIMCA showed better recognition and prediction abilities for the CBOQ class. A more sophisticated neural network approach performed by the combination of the self-organizing with adaptive neighbourhood network (SOAN) and MLF network was employed to optimize the classification. Using this combined method, excellent performance in terms of classification and prediction abilities was obtained for the two categories with a success rate ranging from 98 to 100%. The metal profiles provided sufficient information to enable classification rules to be developed for identifying potatoes according to their origin brand based on SOAN-MLF neural networks.

  8. Preparing the Model for Prediction Across Scales (MPAS) for global retrospective air quality modeling

    Science.gov (United States)

    The US EPA has a plan to leverage recent advances in meteorological modeling to develop a "Next-Generation" air quality modeling system that will allow consistent modeling of problems from global to local scale. The meteorological model of choice is the Model for Predic...

  9. Separating the effects of litter quality and microenvironment on decomposition rates in a patterned peatland

    International Nuclear Information System (INIS)

    Belyea, L.R.

    1996-01-01

    Decomposition rates, measured as proportion of original ash-free dry mass lost from liter bas, were studied on four microhabitats of an ombrogenous peatland in southwestern Scotland: a Racomitrium lanuginosum hummock (HR), a Sphagnum capilifolium hummock (HS), a Sphagnum papillosum lawn (L), and a Sphagnum cuspidatum hollow (H). Reciprocal transplant experiments, in which litter bags were swapped among depths both within and among microhabitat types, separated the effects of litter quality (litter type and degree of humification of the peat) and microenvironment (water table position and microhabitat type). All were important determinants of mass loss. Decomposability of the litter from different microhabitats increased in the order HR < HS < L < H. Chemical 'ageing' of the peat reduced rates of decay in highly humified peat, although a history of decay was associated with maximum decomposability of peat from HR hummocks. The suitability of hollows for decay was significantly less than for HR and HS hummocks and lawns. Peat lost mass most slowly when placed below the lowest water table, but the highest mass losses were for peat placed in, or slightly above, the zone of water table fluctuation. Mass loss decreased with depth for peat decaying in its natural position in hollows and lawns and the oxic layer of HS hummocks. A peak in mass loss occurred within the zone of water table fluctuation in HS hummocks, and just above the highest water table in HR hummocks. The results support earlier suggestions that differences due to chemical ageing of peat contribute to differences in decomposition rates between hummocks and hollows, and that hummock species are intrinsically more resistant to decay than hollow species. The pattern was complicated further, however, by the effects of water table position and microhabitat type. (Abstract Truncated)

  10. Atmospheric disturbance modelling requirements for flying qualities applications

    Science.gov (United States)

    Moorhouse, D. J.

    1978-01-01

    Flying qualities are defined as those airplane characteristics which govern the ease or precision with which the pilot can accomplish the mission. Some atmospheric disturbance modelling requirements for aircraft flying qualities applications are reviewed. It is concluded that some simplifications are justified in identifying the primary influence on aircraft response and pilot control. It is recommended that a universal environmental model be developed, which could form the reference for different applications. This model should include the latest information on winds, turbulence, gusts, visibility, icing and precipitation. A chosen model would be kept by a national agency and updated regularly by feedback from users. A user manual is believed to be an essential part of such a model.

  11. The risk factors and quality of life in children with allergic rhinitis in relation to seasonal attack patterns.

    Science.gov (United States)

    Chen, Bing-Yu; Chan, Chang-Chuan; Han, Yueh-Ying; Wu, Hung-Pin; Guo, Yue Leon

    2012-03-01

    A questionnaire survey was conducted to examine whether risk factors and allergic rhinitis (AR)-related quality of life (QOL) were different among children with different seasonal patterns of AR. Participants were students enrolled in elementary and middle schools in Taipei County, Taiwan. Using moving average and principal component analysis, children with current AR were grouped by attack seasons. The effects of personal and environmental factors on AR seasonality were assessed by logistic regression models. AR severity and AR-related QOL were compared within AR seasonal subtypes. Among 4221 children who completed the questionnaire, 1144 and 1605 children were current AR cases and healthy controls, respectively. Four AR subtypes were categorised as follows: perennial, spring, summer/fall, and winter. Age, gender, parental education, maternal passive smoking during pregnancy, breast feeding, and mouldy walls were found to contribute differentially to different AR subtypes. Children suffering from perennial and winter AR were found to have more severe symptoms and significantly lower QOL score compared with other subtypes. Specific personal and environmental risk factors could contribute to different AR seasonal subtypes. Active allergen avoidance and symptomatic treatment should be the focus of management aiming to improve the QOL among children with perennial and winter subtype. © 2011 Blackwell Publishing Ltd.

  12. Integrating microbial physiology and enzyme traits in the quality model

    Science.gov (United States)

    Sainte-Marie, Julien; Barrandon, Matthieu; Martin, Francis; Saint-André, Laurent; Derrien, Delphine

    2017-04-01

    Microbe activity plays an undisputable role in soil carbon storage and there have been many calls to integrate microbial ecology in soil carbon (C) models. With regard to this challenge, a few trait-based microbial models of C dynamics have emerged during the past decade. They parameterize specific traits related to decomposer physiology (substrate use efficiency, growth and mortality rates...) and enzyme properties (enzyme production rate, catalytic properties of enzymes…). But these models are built on the premise that organic matter (OM) can be represented as one single entity or are divided into a few pools, while organic matter exists as a continuum of many different compounds spanning from intact plant molecules to highly oxidised microbial metabolites. In addition, a given molecule may also exist in different forms, depending on its stage of polymerization or on its interactions with other organic compounds or mineral phases of the soil. Here we develop a general theoretical model relating the evolution of soil organic matter, as a continuum of progressively decomposing compounds, with decomposer activity and enzyme traits. The model is based on the notion of quality developed by Agren and Bosatta (1998), which is a measure of molecule accessibility to degradation. The model integrates three major processes: OM depolymerisation by enzyme action, OM assimilation and OM biotransformation. For any enzyme, the model reports the quality range where this enzyme selectively operates and how the initial quality distribution of the OM subset evolves into another distribution of qualities under the enzyme action. The model also defines the quality range where the OM can be uptaken and assimilated by microbes. It finally describes how the quality of the assimilated molecules is transformed into another quality distribution, corresponding to the decomposer metabolites signature. Upon decomposer death, these metabolites return to the substrate. We explore here the how

  13. Air quality model studies with application for southeastern Virginia

    Science.gov (United States)

    Brewer, D. A.; Remsberg, E. E.

    1980-01-01

    A single-cell photochemical air quality model incorporating (1) a published chemical mechanism, (2) advection, and (3) entrainment and emissions processes was constructed and compared with data from the EPA Regional Air Pollution Study. While agreement with measured CO and NO2 was established, O3 production was found to occur too rapidly and in excess. Calculated O3 levels improved when a 20% reduction in photolytic rate constants and a doubling of wind speed were applied. The results of the model sensitivity studies are being incorporated into the design and conduct of field measurement programs for the characterization of the vertical and horizontal homogeneity of an air quality region.

  14. The quality of school lunch consumed reflects overall eating patterns in 11-16-year-old schoolchildren in Finland.

    Science.gov (United States)

    Tilles-Tirkkonen, Tanja; Pentikäinen, Saara; Lappi, Jenni; Karhunen, Leila; Poutanen, Kaisa; Mykkänen, Hannu

    2011-12-01

    To explore how the quality of school lunch consumed reflected overall eating patterns in school-aged children. Children filled in an Internet-based questionnaire about their eating patterns. The children were then divided into balanced and imbalanced school lunch eaters on the basis of their responses in the questionnaire. A balanced school lunch consisted of, by the definition used in the present study, a main dish, salad and bread. Eleven primary schools and one middle school in eastern Finland. A total of 531 schoolchildren (247 boys and 284 girls) aged 11-16 years. The school lunch was balanced in 46·5% of children. Eating a balanced school lunch was associated with overall healthier eating patterns outside school. Children who ate a balanced school lunch had more regular meal times and consumed healthier snacks. They ate fruit or berries and vegetables, dairy products and wholegrain foods more often, consumed fewer salty snacks, pizzas, meat pies and drank fewer soft drinks and energy drinks. Their eating patterns at home were also healthier, with vegetables being offered at every family dinner and fruit being offered daily, whereas soft drinks were offered seldom. The choices made by children in their school lunch reflect the overall eating patterns among school-aged children. Eating a balanced school lunch is associated with more regular meal patterns, the availability of healthier foods at home and an overall healthier diet, suggesting that healthy eating patterns are learnt at home.

  15. Nutrient intake, diet quality, and weight/adiposity parameters in breakfast patterns compared with no breakfast in adults: National Health and Nutrition Examination Survey 2001-2008.

    Science.gov (United States)

    O'Neil, Carol E; Nicklas, Theresa A; Fulgoni, Victor L

    2014-12-01

    The effect of different breakfast consumption patterns on nutrient intake, diet quality, and weight/adiposity status is unknown. To compare nutrient intake, diet quality, and weight/adiposity measures of consumers assigned to different breakfast patterns with breakfast skippers. These associations were assessed in adults 19+ years (N=18,988) participating in the 2001-2008 National Health and Nutrition Examination Survey. Intake was determined from 1-day 24-hour dietary recall. Diet quality was quantified using the Healthy Eating Index-2005. Body mass index (calculated as kg/m(2)) and waist circumferences were determined. Twelve patterns (including No Breakfast [approximately 19% of population]), explaining 58% of the variance in energy from the breakfast meal, were examined. Covariate adjusted general linear models were used to compare nutrient intakes, Healthy Eating Index-2005 scores, and body mass index/waist circumference of consumers of different patterns with breakfast skippers. The P value was Bonferroni corrected (Eat Cereal (RTEC)/Lower-Fat Milk patterns had lower daily intakes of nutrients to limit (added sugars, saturated fatty acids, solid fats, cholesterol, and sodium) than breakfast skippers. Consumers of the Grain/100% Fruit Juice; Presweetened RTEC/Lower-Fat Milk; and RTEC/Lower-Fat Milk/Whole Fruit/100% Fruit Juice patterns had higher daily intakes of all shortfall nutrients examined (dietary fiber; vitamins A, D, and C; calcium, potassium, folate, iron, and magnesium) than breakfast skippers. Consumers of the Grain/100% Fruit Juice; Grain; Presweetened RTEC/Lower-Fat Milk; RTEC/Lower-Fat Milk/Whole Fruit/100% Fruit Juice; Cooked Cereal; Lower-Fat Milk/Whole Fruit; and Whole Fruit patterns had higher Healthy Eating Index-2005 scores than breakfast skippers. Consumers of the Grain/100% Fruit Juice; Presweetened RTEC/Lower-Fat Milk; RTEC/Lower-Fat Milk/Whole Fruit/100% Fruit Juice; and Cooked Cereal patterns had lower body mass indexes and waist

  16. Conditioning model output statistics of regional climate model precipitation on circulation patterns

    Directory of Open Access Journals (Sweden)

    F. Wetterhall

    2012-11-01

    Full Text Available Dynamical downscaling of Global Climate Models (GCMs through regional climate models (RCMs potentially improves the usability of the output for hydrological impact studies. However, a further downscaling or interpolation of precipitation from RCMs is often needed to match the precipitation characteristics at the local scale. This study analysed three Model Output Statistics (MOS techniques to adjust RCM precipitation; (1 a simple direct method (DM, (2 quantile-quantile mapping (QM and (3 a distribution-based scaling (DBS approach. The modelled precipitation was daily means from 16 RCMs driven by ERA40 reanalysis data over the 1961–2000 provided by the ENSEMBLES (ENSEMBLE-based Predictions of Climate Changes and their Impacts project over a small catchment located in the Midlands, UK. All methods were conditioned on the entire time series, separate months and using an objective classification of Lamb's weather types. The performance of the MOS techniques were assessed regarding temporal and spatial characteristics of the precipitation fields, as well as modelled runoff using the HBV rainfall-runoff model. The results indicate that the DBS conditioned on classification patterns performed better than the other methods, however an ensemble approach in terms of both climate models and downscaling methods is recommended to account for uncertainties in the MOS methods.

  17. Estimation, modeling, and simulation of patterned growth in extreme environments.

    Science.gov (United States)

    Strader, B; Schubert, K E; Quintana, M; Gomez, E; Curnutt, J; Boston, P

    2011-01-01

    In the search for life on Mars and other extraterrestrial bodies or in our attempts to identify biological traces in the most ancient rock record of Earth, one of the biggest problems facing us is how to recognize life or the remains of ancient life in a context very different from our planet's modern biological examples. Specific chemistries or biological properties may well be inapplicable to extraterrestrial conditions or ancient Earth environments. Thus, we need to develop an arsenal of techniques that are of broader applicability. The notion of patterning created in some fashion by biological processes and properties may provide such a generalized property of biological systems no matter what the incidentals of chemistry or environmental conditions. One approach to recognizing these kinds of patterns is to look at apparently organized arrangements created and left by life in extreme environments here on Earth, especially at various spatial scales, different geologies, and biogeochemical circumstances.

  18. Machine Learning and Deep Learning Models to Predict Runoff Water Quantity and Quality

    Science.gov (United States)

    Bradford, S. A.; Liang, J.; Li, W.; Murata, T.; Simunek, J.

    2017-12-01

    Contaminants can be rapidly transported at the soil surface by runoff to surface water bodies. Physically-based models, which are based on the mathematical description of main hydrological processes, are key tools for predicting surface water impairment. Along with physically-based models, data-driven models are becoming increasingly popular for describing the behavior of hydrological and water resources systems since these models can be used to complement or even replace physically based-models. In this presentation we propose a new data-driven model as an alternative to a physically-based overland flow and transport model. First, we have developed a physically-based numerical model to simulate overland flow and contaminant transport (the HYDRUS-1D overland flow module). A large number of numerical simulations were carried out to develop a database containing information about the impact of various input parameters (weather patterns, surface topography, vegetation, soil conditions, contaminants, and best management practices) on runoff water quantity and quality outputs. This database was used to train data-driven models. Three different methods (Neural Networks, Support Vector Machines, and Recurrence Neural Networks) were explored to prepare input- output functional relations. Results demonstrate the ability and limitations of machine learning and deep learning models to predict runoff water quantity and quality.

  19. Effect of Gamma Radiation and Electron Beam on Microbiological Quality and Protein Patterns of 4 Selected Beans

    International Nuclear Information System (INIS)

    Chookaew, S.; Eamsir, J.; Pewlong, W.; Sajjabut, S.

    2014-01-01

    The aim of the present study was to evaluate the effect of gamma ray and electron beam on microbiological quality and protein pattern of four selected beans: mung beans, soy beans, peanuts and black beans. All beans samples were exposed to irradiation at doses of 0, 0.5, 1, and 2 kGy before evaluated for their microbiological quality using AOAC method and protein analysis by gel electrophoresis. Results showed that the amount of bacteria, yeast and mold of irradiated mung beans and peanuts were reduced, whereas these microbiological quality values remained relatively the same for irradiated soy beans and black beans compared to non-irradiated samples. In terms of protein analysis, the protein patterns of the irradiated beans were of the same quality as the non-irradiated samples. To further tested the effect of irradiation on the bean's protein at higher doses, all four selected beans were exposed to gamma ray at 10, 50, 100, 150 and 200 kGy. We found that the protein patterns of mung beans, peanuts and black beans were altered at doses above 50 kGy.

  20. Dietary intake patterns and diet quality in a nationally representative sample of women with and without severe headache or migraine.

    Science.gov (United States)

    Evans, E Whitney; Lipton, Richard B; Peterlin, B Lee; Raynor, Hollie A; Thomas, J Graham; O'Leary, Kevin C; Pavlovic, Jelena; Wing, Rena R; Bond, Dale S

    2015-04-01

    The role of diet in migraine is not well understood. We sought to characterize usual dietary intake patterns and diet quality in a nationally representative sample of women with and without severe headache or migraine. We also examined whether the relationship between migraine and diet differs by weight status. In this analysis, women with migraine or severe headache status was determined by questionnaire for 3069 women, ages 20-50 years, who participated in the National Health and Nutrition Examination Study, 1999-2004. Women who experienced severe headaches or migraines were classified as migraine for the purposes of this analysis. Dietary intake patterns (micro- and macronutrient intake and eating frequency) and diet quality, measured by the Healthy Eating Index, 2005, were determined using one 24-hour dietary recall. Dietary intake patterns did not significantly differ between women with and without migraine. Normal weight women with migraine had significantly lower diet quality (Healthy Eating Index, 2005 total scores) than women without migraine (52.5 ± 0.9 vs. 45.9 ± 1.0; P quality differs by migraine status in normal weight women. Prospective analyses are needed to establish how diet relates to migraine onset, characteristics, and clinical features in individuals of varying weight status. © 2015 American Headache Society.

  1. Bayesian longitudinal item response modeling with restricted covariance pattern structures

    NARCIS (Netherlands)

    Azevedo, Caio L.N.; Fox, Gerardus J.A.; Andrade, Dalton F.

    2016-01-01

    Educational studies are often focused on growth in student performance and background variables that can explain developmental differences across examinees. To study educational progress, a flexible latent variable model is required to model individual differences in growth given longitudinal item

  2. Sleep quality and sleep patterns in relation to consumption of energy drinks, caffeinated beverages, and other stimulants among Thai college students.

    Science.gov (United States)

    Lohsoonthorn, Vitool; Khidir, Hazar; Casillas, Gardenia; Lertmaharit, Somrat; Tadesse, Mahlet G; Pensuksan, Wipawan C; Rattananupong, Thanapoom; Gelaye, Bizu; Williams, Michelle A

    2013-09-01

    Poor sleep and heavy use of caffeinated beverages have been implicated as risk factors for a number of adverse health outcomes. Caffeine consumption and use of other stimulants are common among college students globally. However, to our knowledge, no studies have examined the influence of caffeinated beverages on the sleep quality of college students in Southeast Asian populations. We conducted this study to evaluate the patterns of sleep quality and to examine the extent to which poor sleep quality is associated with consumption of energy drinks, caffeinated beverages, and other stimulants among 2,854 Thai college students. A questionnaire was administered to ascertain demographic and behavioral characteristics. The Pittsburgh Sleep Quality Index was used to assess sleep habits and quality. Chi-square tests and multivariate logistic regression models were used to identify statistically significant associations. Overall, the prevalence of poor sleep quality was found to be 48.1 %. A significant percent of students used stimulant beverages (58.0 %). Stimulant use (odds ratios (OR) 1.50; 95 % confidence intervals (95 % CI) 1.28-1.77) was found to be statistically significant and positively associated with poor sleep quality. Alcohol consumption (OR 3.10; 95 % CI 1.72-5.59) and cigarette smoking (OR 1.43; 95 % CI 1.02-1.98) also had a statistically significant association with increased daytime dysfunction due to sleepiness. In conclusion, stimulant use is common among Thai college students and is associated with several indices of poor sleep quality. Our findings underscore the need to educate students on the importance of sleep and the influences of dietary and lifestyle choices on their sleep quality and overall health.

  3. Evaluation of the Current State of Integrated Water Quality Modelling

    Science.gov (United States)

    Arhonditsis, G. B.; Wellen, C. C.; Ecological Modelling Laboratory

    2010-12-01

    Environmental policy and management implementation require robust methods for assessing the contribution of various point and non-point pollution sources to water quality problems as well as methods for estimating the expected and achieved compliance with the water quality goals. Water quality models have been widely used for creating the scientific basis for management decisions by providing a predictive link between restoration actions and ecosystem response. Modelling water quality and nutrient transport is challenging due a number of constraints associated with the input data and existing knowledge gaps related to the mathematical description of landscape and in-stream biogeochemical processes. While enormous effort has been invested to make watershed models process-based and spatially-distributed, there has not been a comprehensive meta-analysis of model credibility in watershed modelling literature. In this study, we evaluate the current state of integrated water quality modeling across the range of temporal and spatial scales typically utilized. We address several common modeling questions by providing a quantitative assessment of model performance and by assessing how model performance depends on model development. The data compiled represent a heterogeneous group of modeling studies, especially with respect to complexity, spatial and temporal scales and model development objectives. Beginning from 1992, the year when Beven and Binley published their seminal paper on uncertainty analysis in hydrological modelling, and ending in 2009, we selected over 150 papers fitting a number of criteria. These criteria involved publications that: (i) employed distributed or semi-distributed modelling approaches; (ii) provided predictions on flow and nutrient concentration state variables; and (iii) reported fit to measured data. Model performance was quantified with the Nash-Sutcliffe Efficiency, the relative error, and the coefficient of determination. Further, our

  4. Designing Excellence and Quality Model for Training Centers of Primary Health Care: A Delphi Method Study.

    Science.gov (United States)

    Tabrizi, Jafar-Sadegh; Farahbakhsh, Mostafa; Shahgoli, Javad; Rahbar, Mohammad Reza; Naghavi-Behzad, Mohammad; Ahadi, Hamid-Reza; Azami-Aghdash, Saber

    2015-10-01

    Excellence and quality models are comprehensive methods for improving the quality of healthcare. The aim of this study was to design excellence and quality model for training centers of primary health care using Delphi method. In this study, Delphi method was used. First, comprehensive information were collected using literature review. In extracted references, 39 models were identified from 34 countries and related sub-criteria and standards were extracted from 34 models (from primary 39 models). Then primary pattern including 8 criteria, 55 sub-criteria, and 236 standards was developed as a Delphi questionnaire and evaluated in four stages by 9 specialists of health care system in Tabriz and 50 specialists from all around the country. Designed primary model (8 criteria, 55 sub-criteria, and 236 standards) were concluded with 8 criteria, 45 sub-criteria, and 192 standards after 4 stages of evaluations by specialists. Major criteria of the model are leadership, strategic and operational planning, resource management, information analysis, human resources management, process management, costumer results, and functional results, where the top score was assigned as 1000 by specialists. Functional results had the maximum score of 195 whereas planning had the minimum score of 60. Furthermore the most and the least sub-criteria was for leadership with 10 sub-criteria and strategic planning with 3 sub-criteria, respectively. The model that introduced in this research has been designed following 34 reference models of the world. This model could provide a proper frame for managers of health system in improving quality.

  5. Model building experiences using Garp3: problems, patterns and debugging

    NARCIS (Netherlands)

    Liem, J.; Linnebank, F.E.; Bredeweg, B.; Žabkar, J.; Bratko, I.

    2009-01-01

    Capturing conceptual knowledge in QR models is becoming of interest to a larger audience of domain experts. Consequently, we have been training several groups to effectively create QR models during the last few years. In this paper we describe our teaching experiences, the issues the modellers

  6. Toward image quality assessment in mammography using model observers: Detection of a calcification-like object.

    Science.gov (United States)

    Bouwman, Ramona W; Mackenzie, Alistair; van Engen, Ruben E; Broeders, Mireille J M; Young, Kenneth C; Dance, David R; den Heeten, Gerard J; Veldkamp, Wouter J H

    2017-11-01

    Model observers (MOs) are of interest in the field of medical imaging to assess image quality. However, before procedures using MOs can be proposed in quality control guidelines for mammography systems, we need to know whether MOs are sensitive to changes in image quality and correlations in background structure. Therefore, as a proof of principle, in this study human and model observer (MO) performance are compared for the detection of calcification-like objects using different background structures and image quality levels of unprocessed mammography images. Three different phantoms, homogeneous polymethyl methacrylate, BR3D slabs with swirled patterns (CIRS, Norfolk, VA, USA), and a prototype anthropomorphic breast phantom (Institute of Medical Physics and Radiation Protection, Technische Hochschule Mittelhessen, Germany) were imaged on an Amulet Innovality (FujiFilm, Tokyo, Japan) mammographic X-ray unit. Because the complexities of the structures of these three phantoms were different and not optimized to match the characteristics of real mammographic images, image processing was not applied in this study. In addition, real mammograms were acquired on the same system. Regions of interest (ROIs) were extracted from each image. In half of the ROIs, a 0.25-mm diameter disk was inserted at four different contrast levels to represent a calcification-like object. Each ROI was then modified, so four image qualities relevant for mammography were simulated. The signal-present and signal-absent ROIs were evaluated by a non-pre-whitening model observer with eye filter (NPWE) and a channelized Hotelling observer (CHO) using dense difference of Gaussian channels. The ROIs were also evaluated by human observers in a two alternative forced choice experiment. Detectability results for the human and model observer experiments were correlated using a mixed-effect regression model. Threshold disk contrasts for human and predicted human observer performance based on the NPWE MO

  7. Modeling how shark and dolphin skin patterns control transitional wall-turbulence vorticity patterns using spatiotemporal phase reset mechanisms

    Science.gov (United States)

    Bandyopadhyay, Promode R.; Hellum, Aren M.

    2014-10-01

    Many slow-moving biological systems like seashells and zebrafish that do not contend with wall turbulence have somewhat organized pigmentation patterns flush with their outer surfaces that are formed by underlying autonomous reaction-diffusion (RD) mechanisms. In contrast, sharks and dolphins contend with wall turbulence, are fast swimmers, and have more organized skin patterns that are proud and sometimes vibrate. A nonlinear spatiotemporal analytical model is not available that explains the mechanism underlying control of flow with such proud patterns, despite the fact that shark and dolphin skins are major targets of reverse engineering mechanisms of drag and noise reduction. Comparable to RD, a minimal self-regulation model is given for wall turbulence regeneration in the transitional regime--laterally coupled, diffusively--which, although restricted to pre-breakdown durations and to a plane close and parallel to the wall, correctly reproduces many experimentally observed spatiotemporal organizations of vorticity in both laminar-to-turbulence transitioning and very low Reynolds number but turbulent regions. We further show that the onset of vorticity disorganization is delayed if the skin organization is treated as a spatiotemporal template of olivo-cerebellar phase reset mechanism. The model shows that the adaptation mechanisms of sharks and dolphins to their fluid environment have much in common.

  8. Application of artificial intelligence models in water quality forecasting.

    Science.gov (United States)

    Yeon, I S; Kim, J H; Jun, K W

    2008-06-01

    The real-time data of the continuous water quality monitoring station at the Pyeongchang river was analyzed separately during the rainy period and non-rainy period. Total organic carbon data observed during the rainy period showed a greater mean value, maximum value and standard deviation than the data observed during the non-rainy period. Dissolved oxygen values during the rainy period were lower than those observed during the non-rainy period. It was analyzed that the discharge due to rain fall from the basin affects the change of the water quality. A model for the forecasting of water quality was constructed and applied using the neural network model and the adaptive neuro-fuzzy inference system. Regarding the models of levenberg-marquardt neural network, modular neural network and adaptive neuro-fuzzy inference system, all three models showed good results for the simulation of total organic carbon. The levenberg-marquardt neural network and modular neural network models showed better results than the adaptive neuro-fuzzy inference system model in the forecasting of dissolved oxygen. The modular neural network model, which was applied with the qualitative data of time in addition to quantitative data, showed the least error.

  9. D Modeling with Photogrammetry by Uavs and Model Quality Verification

    Science.gov (United States)

    Barrile, V.; Bilotta, G.; Nunnari, A.

    2017-11-01

    This paper deals with a test lead by Geomatics laboratory (DICEAM, Mediterranea University of Reggio Calabria), concerning the application of UAV photogrammetry for survey, monitoring and checking. The study case relies with the surroundings of the Department of Agriculture Sciences. In the last years, such area was interested by landslides and survey activities carried out to take the phenomenon under control. For this purpose, a set of digital images were acquired through a UAV equipped with a digital camera and GPS. Successively, the processing for the production of a 3D georeferenced model was performed by using the commercial software Agisoft PhotoScan. Similarly, the use of a terrestrial laser scanning technique allowed to product dense cloud and 3D models of the same area. To assess the accuracy of the UAV-derived 3D models, a comparison between image and range-based methods was performed.

  10. Modelling Chemical Patterns of Atmospheric Polycyclic Aromatic Hydrocarbons (PAHs) in the Iberian Peninsula

    Science.gov (United States)

    Ratola, Nuno; Jiménez-Guerrero, Pedro

    2013-04-01

    Semi-volatile organic compounds (SVOCs) such as PBDEs, PCBs, organochlorine pesticides (OCPs) or PAHs, are widespread and generated in a multitude of anthropogenic (and natural for PAHs) processes and although they are found in the environment at low concentrations, possess an extraordinary carcinogenic capacity (Baussant et al., 2001) and high ecotoxicity due to their persistence in different matrices (air, soil, water, living organisms). In particular, PAHs are originated by combustion processes or release from fossil fuels and can be transported in the atmosphere over long distances in gaseous or particulate matter (Baek et al., 1991). The establishment of strategies for sampling and chemical transport modelling of SVOCs in the atmosphere aiming the definition and validation of the spatial, temporal and chemical transport patterns of contaminants can be achieved by an integrated system of third-generation models that represent the current state of knowledge in air quality modelling and experimental data collected in field campaigns. This has implications in the fields of meteorology, atmospheric chemistry and even climate change. In this case, an extensive database already obtained on levels of atmospheric PAHs from biomonitoring schemes in the Iberian Peninsula fuelled the establishment of the first models of behaviour for PAHs. The modelling system WRF+CHIMERE was implemented with high spatial and temporal resolution to the Iberian Peninsula in this first task (9 km for the Iberian Peninsula, 3 km to Portugal, 1 hour), using PAHs atmospheric levels collected over a year-long sampling scheme comprising 4 campaigns (one per season) in over 30 sites. Daily information on meteorological parameters such as air temperature, humidity, rainfall or wind speed and direction was collected from the weather stations closest to the sampling sites. Diagnosis and forecasts of these meteorological variables using MM5 or WRF were used to feed a chemistry transport model

  11. Stability and Patterns of Classroom Quality in German Early Childhood Education and Care

    Science.gov (United States)

    Kuger, Susanne; Kluczniok, Katharina; Kaplan, David; Rossbach, Hans-Guenther

    2016-01-01

    Many education systems worldwide have dedicated a significant amount of resources to improve quality levels in early childhood education and care. Research can contribute to this goal by providing information about conditions of high-quality education and care and reasons for changes in the quality provided to children. This study therefore…

  12. Quality Assurance Based on Descriptive and Parsimonious Appearance Models

    DEFF Research Database (Denmark)

    Nielsen, Jannik Boll; Eiríksson, Eyþór Rúnar; Kristensen, Rasmus Lyngby

    2015-01-01

    In this positional paper, we discuss the potential benefits of using appearance models in additive manufacturing, metal casting, wind turbine blade production, and 3D content acquisition. Current state of the art in acquisition and rendering of appearance cannot easily be used for quality assurance...... in these areas. The common denominator is the need for descriptive and parsimonious appearance models. By ‘parsimonious’ we mean with few parameters so that a model is useful both for fast acquisition, robust fitting, and fast rendering of appearance. The word ‘descriptive’ refers to the fact that a model should...

  13. Quality parameters and pattern recognition methods as a tool in tracing regional origin of multifloral honey

    Directory of Open Access Journals (Sweden)

    Lazarević Kristina B.

    2013-01-01

    Full Text Available The characterization of multifloral honey regarding the mineral composition, sugar content and basic physicochemical properties has been done. The total of 164 honey samples was collected from six regions of Serbia during 2009 harvesting season. Univariate data analysis (descriptive statistics and analysis of variance, geographic information system and pattern recognition methods (principal component analysis and cluster analysis have been performed in order to identify geographical origin of honey. The content of Mg, K, and Cu, electrical conductivity, and optical rotation were established as useful indicators in tracing regional differences between honey samples. Samples originated from Zlatibor region were clearly distinguished from those from the rest of Serbia showing higher K and Mg content, as well as higher values of optical rotation, electrical conductivity, and free acidity. The influence of the soil composition, and climate conditions, as well as the presence of particular flora on the honey composition is stressed out. The modeling of geographic origin of honey has been attempted by the means of linear discriminant analysis. [Projekat Ministarstva nauke Republike Srbije, br. 172017 and 451-03-2372-IP i FP7 RegPot project FCUB ERA GA No. 256716

  14. A Data Quality Information Model for Earth Observation

    Science.gov (United States)

    Yang, X.; Blower, J.; Cornford, D.; Maso, J.; Zabala, A.; Bastin, L.; Lush, V.; Diaz, P.

    2012-04-01

    The question of data quality is a prominent topic of current research in Earth observation. However, different users have different views and visions on data quality. There exists a set of standards and specifications in relation to data quality for Earth observation (e.g. ISO standards, W3C standards, QA4EO), and how to choose appropriate one for quality information representation also present a challenge. In order to address the need, we carried out interviews with environmental scientists to elicit their views on matters such as how they choose data for their studies, and what encourages them to trust the accuracy and validity of the data. Interviews were structured around a carefully-designed questionnaire. Face-to-face and telephone interviews were performed in order to gain maximum value from the consultation process. An array of views and visions on Earth observation data have been gathered, which will provide valuable input to the community and other data providers. Informed by the interview findings, we critically review the existing standards and specifications and propose a new, integrated quality information model for Earth observation. This builds upon existing models, notably the ISO standards suite, filling gaps that we have identified in order to encompass other important aspects of data quality. This work has been performed in the context of the EU FP7 GeoViQua project, which aims to augment the Global Earth Observation System of Systems (GEOSS) with information about the quality of data holdings, and to provide visualization capabilities for users to view data together with associated quality information.

  15. A sequential point process model and Bayesian inference for spatial point patterns with linear structures

    DEFF Research Database (Denmark)

    Møller, Jesper; Rasmussen, Jakob Gulddahl

    We introduce a flexible spatial point process model for spatial point patterns exhibiting linear structures, without incorporating a latent line process. The model is given by an underlying sequential point process model, i.e. each new point is generated given the previous points. Under this model...... points is such that the dependent cluster point is likely to occur closely to a previous cluster point. We demonstrate the flexibility of the model for producing point patterns with linear structures, and propose to use the model as the likelihood in a Bayesian setting when analyzing a spatial point...... pattern exhibiting linear structures but where the exact mechanism responsible for the formations of lines is unknown. We illustrate this methodology by analyzing two spatial point pattern data sets (locations of bronze age graves in Denmark and locations of mountain tops in Spain) without knowing which...

  16. A Dependent Hidden Markov Model of Credit Quality

    Directory of Open Access Journals (Sweden)

    Małgorzata Wiktoria Korolkiewicz

    2012-01-01

    Full Text Available We propose a dependent hidden Markov model of credit quality. We suppose that the "true" credit quality is not observed directly but only through noisy observations given by posted credit ratings. The model is formulated in discrete time with a Markov chain observed in martingale noise, where "noise" terms of the state and observation processes are possibly dependent. The model provides estimates for the state of the Markov chain governing the evolution of the credit rating process and the parameters of the model, where the latter are estimated using the EM algorithm. The dependent dynamics allow for the so-called "rating momentum" discussed in the credit literature and also provide a convenient test of independence between the state and observation dynamics.

  17. Operation quality assessment model for video conference system

    Science.gov (United States)

    Du, Bangshi; Qi, Feng; Shao, Sujie; Wang, Ying; Li, Weijian

    2018-01-01

    Video conference system has become an important support platform for smart grid operation and management, its operation quality is gradually concerning grid enterprise. First, the evaluation indicator system covering network, business and operation maintenance aspects was established on basis of video conference system's operation statistics. Then, the operation quality assessment model combining genetic algorithm with regularized BP neural network was proposed, which outputs operation quality level of the system within a time period and provides company manager with some optimization advice. The simulation results show that the proposed evaluation model offers the advantages of fast convergence and high prediction accuracy in contrast with regularized BP neural network, and its generalization ability is superior to LM-BP neural network and Bayesian BP neural network.

  18. Conceptual design of a regional water quality screening model

    International Nuclear Information System (INIS)

    Davis, M.J.

    1981-01-01

    This water quality assessment methodology is intended to predict concentrations at future times and to estimate the impacts on water quality of energy-related activities (including industrial boilers). Estimates of impacts on water quality at future times are based on incremental changes in pollutant inputs to the body water. Important features of the model are: use of measured concentrations to account for existing conditions; consideration of incremental changes in pollutant loads; emphasis on the energy sector and industrial boilers; analysis restricted to streams only; no attempt to fully account for pollutant behavior; and flexible design, so that future improvements can be incorporated. The basic approach is very similar to the one used by Argonne's ARQUAL model but will allow more complex pollutant behavior and more flexibility in use

  19. Identifying prescription patterns with a topic model of diseases and medications.

    Science.gov (United States)

    Park, Sungrae; Choi, Doosup; Kim, Minki; Cha, Wonchul; Kim, Chuhyun; Moon, Il-Chul

    2017-11-01

    Wide variance exists among individuals and institutions for treating patients with medicine. This paper analyzes prescription patterns using a topic model with more than four million prescriptions. Specifically, we propose the disease-medicine pattern model (DMPM) to extract patterns from a large collection of insurance data by considering disease codes joined with prescribed medicines. We analyzed insurance prescription data from 2011 with DMPM and found prescription patterns that could not be identified by traditional simple disease classification, such as the International Classification of Diseases (ICD). We analyzed the identified prescription patterns from multiple aspects. First, we found that our model better explain unseen prescriptions than other probabilistic models. Second, we analyzed the similarities of the extracted patterns to identify their characteristics. Third, we compared the identified patterns from DMPM to the known disease categorization, ICD. This comparison showed what additional information can be provided by the data-oriented bottom-up patterns in contrast to the knowledge-based top-down categorization. The comparison results showed that the bottom-up categorization allowed for the identification of (1) diverse treatment options for the same disease symptoms, and (2) diverse disease cases sharing the same prescription options. Additionally, the extracted bottom-up patterns revealed treatment differences based on basic patient information better than the top-down categorization. We conclude that this data-oriented analysis will be an effective alternative method for analyzing the complex interwoven disease-prescription relationship. Copyright © 2017 Elsevier Inc. All rights reserved.

  20. Nutrient intake, diet quality, and weight/adiposity parameters in breakfast patterns compared with no breakfast in adults: National Health and Nutrition Examination Survey 2001-2008

    Science.gov (United States)

    The effect of different breakfast consumption patterns on nutrient intake, diet quality, and weight/adiposity status is unknown. The objective was to compare nutrient intake, diet quality, and weight/adiposity measures of consumers assigned to different breakfast patterns with breakfast skippers. Th...

  1. Assessing The Policy Relevance of Regional Air Quality Models

    Science.gov (United States)

    Holloway, T.

    This work presents a framework for discussing the policy relevance of models, and regional air quality models in particular. We define four criteria: 1) The scientific status of the model; 2) Its ability to address primary environmental concerns; 3) The position of modeled environmental issues on the political agenda; and 4) The role of scientific input into the policy process. This framework is applied to current work simulating the transport of nitric acid in Asia with the ATMOS-N model, to past studies on air pollution transport in Europe with the EMEP model, and to future applications of the United States Environmental Protection Agency (US EPA) Models-3. The Lagrangian EMEP model provided critical input to the development of the 1994 Oslo and 1999 Gothenburg Protocols to the Convention on Long-Range Transbound- ary Air Pollution, as well as to the development of EU directives, via its role as a component of the RAINS integrated assessment model. Our work simulating reactive nitrogen in Asia follows the European example in part, with the choice of ATMOS-N, a regional Lagrangian model to calculate source-receptor relationships for the RAINS- Asia integrated assessment model. However, given differences between ATMOS-N and the EMEP model, as well as differences between the scientific and political cli- mates facing Europe ten years ago and Asia today, the role of these two models in the policy process is very different. We characterize the different aspects of policy relevance between these models using our framework, and consider how the current generation US EPA air quality model compares, in light of its Eulerian structure, dif- ferent objectives, and the policy context of the US.

  2. Model-generated air quality statistics for application in vegetation response models in Alberta

    International Nuclear Information System (INIS)

    McVehil, G.E.; Nosal, M.

    1990-01-01

    To test and apply vegetation response models in Alberta, air pollution statistics representative of various parts of the Province are required. At this time, air quality monitoring data of the requisite accuracy and time resolution are not available for most parts of Alberta. Therefore, there exists a need to develop appropriate air quality statistics. The objectives of the work reported here were to determine the applicability of model generated air quality statistics and to develop by modelling, realistic and representative time series of hourly SO 2 concentrations that could be used to generate the statistics demanded by vegetation response models

  3. Assessment of errors and uncertainty patterns in GIA modeling

    DEFF Research Database (Denmark)

    Barletta, Valentina Roberta; Spada, G.

    During the last decade many efforts have been devoted to the assessment of global sea level rise and to the determination of the mass balance of continental ice sheets. In this context, the important role of glacial-isostatic adjustment (GIA) has been clearly recognized. Yet, in many cases only one......, such as time-evolving shorelines and paleo-coastlines. In this study we quantify these uncertainties and their propagation in GIA response using a Monte Carlo approach to obtain spatio-temporal patterns of GIA errors. A direct application is the error estimates in ice mass balance in Antarctica and Greenland...

  4. Children's use of dental services: influence of maternal dental anxiety, attendance pattern, and perception of children's quality of life.

    Science.gov (United States)

    Goettems, Marília L; Ardenghi, Thiago M; Demarco, Flávio F; Romano, Ana R; Torriani, Dione D

    2012-10-01

    The purpose of the study was to investigate the influence of a child's clinical condition; maternal characteristics such as dental anxiety and dental visit pattern; socioeconomic conditions; and maternal perception of the child's oral health-related quality of life (OHRQoL) on a child's use of dental care services. A cross-sectional study of 608 mother-child dyads was conducted during the Children's Immunization Campaign in Pelotas, Brazil. Mothers answered a questionnaire regarding their use of dental services, dental anxiety (Dental Anxiety Scale), socioeconomic status, and perception of their children's OHRQoL (the Early Childhood Oral Health Impact Scale). Clinical examination of the children was performed to assess dental caries (dmf-t). Associations between the above-mentioned factors and child use of dental services were assessed using Poisson regression models (prevalence ratio [PR]; 95% CI; P ≤ 0.05). The majority of children (79.3%) had never had a dental appointment and of the children who had visited a dentist, 55 (43.65%) presented with untreated dental caries at the time of examination. More than half the mothers (60.2%) did not visit a dentist regularly. In the final model, low schooling level of mothers (PR, 0.64) and irregular visits to a dentist by the mother (PR, 0.48) were factors because of which a child did not have a dental appointment. Children who had experienced pain (PR, 1.56), those who had poor OHRQoL (PR, 1.49), and older children (PR, 2.14) visited a dentist with higher frequency. Use of dental care services by preschool children was low, and treatment was neglected even among children who had visited a dentist. Children of mothers with low schooling level who do not visit a dentist regularly were at greater risk of not receiving dental care. Maternal perception of their child's oral health motivated visits to the dentist. © 2012 John Wiley & Sons A/S.

  5. Guiding and Modelling Quality Improvement in Higher Education Institutions

    Science.gov (United States)

    Little, Daniel

    2015-01-01

    The article considers the process of creating quality improvement in higher education institutions from the point of view of current organisational theory and social-science modelling techniques. The author considers the higher education institution as a functioning complex of rules, norms and other organisational features and reviews the social…

  6. Total Quality Management, a New Culture Model of the Enterprise

    Directory of Open Access Journals (Sweden)

    Constantin Dumitrescu

    2006-10-01

    Full Text Available The paper brings bags of clarifications about concept definition and bases principles of TQM, presenting the critical factors during the implementation of those fundamentals. Also, it has been proposed a lot of models to present the Total Quality Management, being also presented its evolution.

  7. МULTI-STAKEHOLDER MODEL OF EDUCATION PROJECT QUALITY MANAGEMENT

    Directory of Open Access Journals (Sweden)

    Юлия Юрьевна ГУСЕВА

    2015-05-01

    Full Text Available The analysis of approaches to the definition of higher education projects’ stakeholders is conducted. A model of education project quality management with the influence of stakeholders is formed. A mechanism of recognition of new groups of project’s stakeholders on the basis of set theory is offered.

  8. A quality management model for radiation oncology physics

    International Nuclear Information System (INIS)

    Sternick, E.S.

    1991-01-01

    State-of-the-art radiation physics quality programs operate in a data rich environment. Given the abundance of recordable events, any formalism that serves to identify and monitor a set of attributes correlated with quality is to be regarded as an important management tool. The hierarchical tree structure model describes one such useful planning method. Of the several different types of tree structures, one of the most appropriate for quality management is the pyramid model. In this model, the associations between an overall program objective and the intermediate steps leading to its attainment, are indicated by both horizontal and vertical connectors. The overall objective of the system under study occupies the vertex of the pyramid, while the level immediately below contains its principal components. Further subdivisions of each component occur in successively lower levels. The tree finally terminates at a base level consisting of actions or requirements that must be fulfilled in order to satisfy the overall objective. A pyramid model for a radiation oncology physics quality program is discussed in detail. (author). 21 refs., 4 figs., 6 tabs

  9. Towards a quality model for semantic IS standards

    NARCIS (Netherlands)

    Folmer, Erwin Johan Albert; van Soest, J.

    2012-01-01

    This research focuses on developing a quality model for semantic information system (IS) standards. A lot of semantic IS standards are available in different industries. Often these standards are developed by a dedicated organisation. While these organisations have the goal of increasing

  10. Towards a quality model for semantic IS standards

    NARCIS (Netherlands)

    Folmer, Erwin Johan Albert; van Soest, Joris

    2011-01-01

    This research focuses on developing a quality model for semantic Information System (IS) standards. A lot of semantic IS standards are available in different industries. Often these standards are developed by a dedicated organization. While these organizations have the goal of increasing

  11. QUANTIFYING SUBGRID POLLUTANT VARIABILITY IN EULERIAN AIR QUALITY MODELS

    Science.gov (United States)

    In order to properly assess human risk due to exposure to hazardous air pollutants or air toxics, detailed information is needed on the location and magnitude of ambient air toxic concentrations. Regional scale Eulerian air quality models are typically limited to relatively coar...

  12. Predictors of quality of life: A model based study

    NARCIS (Netherlands)

    Masthoff, E.D.M.; Trompenaars, F.J.; Heck, G.L. van; Michielsen, H.J.; Hodiamont, P.P.G.; Vries, I.J.M. de

    2007-01-01

    In this study, predictors of quality of life (QOL) in psychiatric outpatients (n = 410) were investigated using the psychological stress model developed by Taylor and Aspinwall (Psychosocial Stress. Perspective on Structures, Theory, Life-Course and Methods. San Diego, CA: Academic Press, 1996; pp.

  13. Predictors of quality of life: a model based study.

    NARCIS (Netherlands)

    Masthoff, E.D.M.; Trompenaars, F.J.; Heck, G.L. van; Michielsen, H.J.; Hodiamont, P.P.G.; Vries, J. de

    2007-01-01

    In this study, predictors of quality of life (QOL) in psychiatric outpatients (n = 410) were investigated using the psychological stress model developed by Taylor and Aspinwall (Psychosocial Stress. Perspective on Structures, Theory, Life-Course and Methods. San Diego, CA: Academic Press, 1996; pp.

  14. A model for assessing Medicago Sativa L. hay quality | Scholtz ...

    African Journals Online (AJOL)

    A study was conducted to identify chemical parameters and/or models for assessing. Medicago sativa L. (L) hay quality, using near infrared reflectance spectroscopy (NIRS) analysis and Cornell Net Carbohydrate and Protein System (CNCPS) milk prediction as a criterion of accuracy. Milk yield (MY) derived from the ...

  15. An Approach to Quality Estimation in Model-Based Development

    DEFF Research Database (Denmark)

    Holmegaard, Jens Peter; Koch, Peter; Ravn, Anders Peter

    2004-01-01

    We present an approach to estimation of parameters for design space exploration in Model-Based Development, where synthesis of a system is done in two stages. Component qualities like space, execution time or power consumption are defined in a repository by platform dependent values. Connectors...

  16. Proposed model for satisfaction evaluating with educational quality

    Directory of Open Access Journals (Sweden)

    Rafaele Matte Wojahn

    2018-01-01

    Full Text Available This study aims to present a proposal to assess the satisfaction with the service quality in teaching. The dimensions of the model were based on studies of Parasuraman et al (1985, Coleman (1988 and Libâneo (1994. It was adopted in this study a quantitative method. The research population was students of primary education, secondary education, higher education, specialization and graduate studies. The sample is composed by 458 students. Data were analyzed using multiple linear regressions. Model’s reliability tests showed index above of expected, proving of being an efficient model to assess the satisfaction about service quality in teaching by students. However, the analysis carried out by means of multiple linear regression showed that the model explains 81% overall satisfaction about service quality in teaching and also that the dimensions related to social capital were excluded from the model due to the lack of significance. The dimension that most explain the satisfaction of students about service quality is the teaching method (66,4%.

  17. Process model for building quality software on internet time ...

    African Journals Online (AJOL)

    The competitive nature of the software construction market and the inherently exhilarating nature of software itself have hinged the success of any software development project on four major pillars: time to market, product quality, innovation and documentation. Unfortunately, however, existing software development models ...

  18. A deterministic aggregate production planning model considering quality of products

    International Nuclear Information System (INIS)

    Madadi, Najmeh; Wong, Kuan Yew

    2013-01-01

    Aggregate Production Planning (APP) is a medium-term planning which is concerned with the lowest-cost method of production planning to meet customers' requirements and to satisfy fluctuating demand over a planning time horizon. APP problem has been studied widely since it was introduced and formulated in 1950s. However, in several conducted studies in the APP area, most of the researchers have concentrated on some common objectives such as minimization of cost, fluctuation in the number of workers, and inventory level. Specifically, maintaining quality at the desirable level as an objective while minimizing cost has not been considered in previous studies. In this study, an attempt has been made to develop a multi-objective mixed integer linear programming model that serves those companies aiming to incur the minimum level of operational cost while maintaining quality at an acceptable level. In order to obtain the solution to the multi-objective model, the Fuzzy Goal Programming approach and max-min operator of Bellman-Zadeh were applied to the model. At the final step, IBM ILOG CPLEX Optimization Studio software was used to obtain the experimental results based on the data collected from an automotive parts manufacturing company. The results show that incorporating quality in the model imposes some costs, however a trade-off should be done between the cost resulting from producing products with higher quality and the cost that the firm may incur due to customer dissatisfaction and sale losses.

  19. Assessment of errors and uncertainty patterns in GIA modeling

    DEFF Research Database (Denmark)

    Barletta, Valentina Roberta; Spada, G.

    2012-01-01

    During the last decade many efforts have been devoted to the assessment of global sea level rise and to the determination of the mass balance of continental ice sheets. In this context, the important role of glacial-isostatic adjustment (GIA) has been clearly recognized. Yet, in many cases only one...... "preferred" GIA model has been used, without any consideration of the possible errors involved. Lacking a rigorous assessment of systematic errors in GIA modeling, the reliabil-ity of the results is uncertain. GIA sensitivity and uncertainties associated with the viscosity mod-els have been explored...... in the literature. However, at least two major sources of errors remain. The first is associated with the ice models, spatial distribution of ice and history of melting (this is especially the case of Antarctica), the second with the numerical implementation of model fea-tures relevant to sea level modeling...

  20. Employment, Production and Consumption model: Patterns of phase transitions

    Science.gov (United States)

    Lavička, H.; Lin, L.; Novotný, J.

    2010-04-01

    We have simulated the model of Employment, Production and Consumption (EPC) using Monte Carlo. The EPC model is an agent based model that mimics very basic rules of industrial economy. From the perspective of physics, the nature of the interactions in the EPC model represents multi-agent interactions where the relations among agents follow the key laws for circulation of capital and money. Monte Carlo simulations of the stochastic model reveal phase transition in the model economy. The two phases are the phase with full unemployment and the phase with nearly full employment. The economy switches between these two states suddenly as a reaction to a slight variation in the exogenous parameter, thus the system exhibits strong non-linear behavior as a response to the change of the exogenous parameters.

  1. Age-Related Patterns in Cancer Pain and Its Psychosocial Impact: Investigating the Role of Variability in Physical and Mental Health Quality of Life.

    Science.gov (United States)

    Gauthier, Lynn R; Dworkin, Robert H; Warr, David; Pillai Riddell, Rebecca; Macpherson, Alison K; Rodin, Gary; Zimmermann, Camilla; Lawrence Librach, S; Moore, Malcolm; Shepherd, Frances A; Gagliese, Lucia

    2017-03-03

    Age-related patterns in cancer pain remain equivocal. Most studies ignore heterogeneity across multiple domains of well-being, and the potential role of physical (PH) and mental health (MH) quality of life (QOL) in these age-related patterns is unknown. We investigated the relationships between age and cancer pain intensity, qualities, and interference, and physical and psychosocial adaptation and the interaction between age and PH and MH QOL on pain and adaptation to cancer pain. In this cross-sectional study, 244 patients with advanced cancer and pain completed measures of pain, QOL, physical function, and psychosocial well-being. Pearson's correlations and ANOVAs assessed relationships between age and demographic and clinical factors, pain, and physical and psychosocial measures. Regression models tested the role of age and its interaction with PH and MH QOL on pain and physical and psychosocial adaptation. Older age was associated with a lower likelihood of receiving an opioid prescription, greater likelihood of having comorbidities, and worse functional status. When we did not account for these factors, age was not associated with pain and most adaptation indices. When we did account for these factors and PH QOL, older age was associated with lower non-neuropathic and neuropathic pain and several indices of psychosocial adaptation. Most interestingly, older age was associated with lower non-neuropathic pain among those with high, but not low, MH QOL. This study addresses knowledge gaps about factors underlying age-related patterns in cancer pain. Impaired MH QOL may be a proxy for age-related patterns in cancer pain. This study investigated age-related patterns in the experience of cancer pain and the role of quality of life in resilience and vulnerability to pain and adaptation to pain. Older age is associated with lower non-neuropathic pain among those with high, but not low, mental health quality of life, suggesting that impaired mental health quality of

  2. Spiking and bursting patterns of fractional-order Izhikevich model

    Science.gov (United States)

    Teka, Wondimu W.; Upadhyay, Ranjit Kumar; Mondal, Argha

    2018-03-01

    Bursting and spiking oscillations play major roles in processing and transmitting information in the brain through cortical neurons that respond differently to the same signal. These oscillations display complex dynamics that might be produced by using neuronal models and varying many model parameters. Recent studies have shown that models with fractional order can produce several types of history-dependent neuronal activities without the adjustment of several parameters. We studied the fractional-order Izhikevich model and analyzed different kinds of oscillations that emerge from the fractional dynamics. The model produces a wide range of neuronal spike responses, including regular spiking, fast spiking, intrinsic bursting, mixed mode oscillations, regular bursting and chattering, by adjusting only the fractional order. Both the active and silent phase of the burst increase when the fractional-order model further deviates from the classical model. For smaller fractional order, the model produces memory dependent spiking activity after the pulse signal turned off. This special spiking activity and other properties of the fractional-order model are caused by the memory trace that emerges from the fractional-order dynamics and integrates all the past activities of the neuron. On the network level, the response of the neuronal network shifts from random to scale-free spiking. Our results suggest that the complex dynamics of spiking and bursting can be the result of the long-term dependence and interaction of intracellular and extracellular ionic currents.

  3. Shallow Lake Habitat Quality Dynamic Evaluation Based on InVEST Model

    Science.gov (United States)

    Yan, S.; Wang, X.

    2017-12-01

    Abstract: Water level changes in a shallow lake always introduce dramatic land pattern changes. To achieve sustainable ecosystem service, it is necessary to evaluate habitat quality dynamic and its spatio-temporal variation resulted from water level changes, which can provide a scientific basis for protection of biodiversity and planning of wetland ecological system. Landsat data in the spring was chosen to obtain landscape data at different times based on the high, moderate and low water level of Baiyangdian Shallow Lake. We used the InVEST to evaluate the habitat quality, habitat degradation, and habitat scarcity. The result showed that: 1) the water level of shallow lake changes from high to low lead to an obvious landscape pattern changes and habitat degradation. 2) the most change area occurred in northwestward and southwest of Baiyangdian Shallow Lake, which there was a 21 percent of suitable habitat and 42 percent of moderately suitable habitat lost. Our findings show that the changes of water level in the shallow lake would have a strong relationship with the habitat quality.Keywords: Habitat quality; Habitat degradation; Water level changes; InVEST model; Shallow lake

  4. Prediction of Annual Rainfall Pattern Using Hidden Markov Model ...

    African Journals Online (AJOL)

    ADOWIE PERE

    the stochastic processes is an underlying Markov chain, the other stochastic process is an observable stochastic ... Keywords: Markov model, Hidden Markov model, Transition probability, Observation probability, Crop. Production, Annual Rainfall .... with highest value of the forward probability at time. T+1 is taken as ...

  5. Analyzing Interaction Patterns to Verify a Simulation/Game Model

    Science.gov (United States)

    Myers, Rodney Dean

    2012-01-01

    In order for simulations and games to be effective for learning, instructional designers must verify that the underlying computational models being used have an appropriate degree of fidelity to the conceptual models of their real-world counterparts. A simulation/game that provides incorrect feedback is likely to promote misunderstanding and…

  6. Stationary Patterns in One-Predator Two-Prey Models

    DEFF Research Database (Denmark)

    Pedersen, Michael; Zhigui, Lin

    1999-01-01

    Weakly-coupled elliptic system decribing models of simple three-species food webs such as the one-predator, two-prey model is discussed. We show that there is no non-constant solution if diffusions or inter-specific competitions are strong, or if the intrinsic growths of the prey are slow...

  7. Modeling the hydrological patterns on Pantanal wetlands, Brazil

    Science.gov (United States)

    Castro, A. A.; Cuartas, A.; Coe, M. T.; Koumrouyan, A.; Panday, P. K.; Lefebvre, P.; Padovani, C.; Costa, M. H.; de Oliveira, G. S.

    2014-12-01

    The Pantanal of Brazil is one of the world's largest wetland regions. It is located within the 370,000 km2 Alto Paraguai Basin (BAP). In wet years almost 15% of the total area of the basin can be flooded (approximately 53,000 km2). The hydrological cycle is particularly important in the Pantanal in the transport of materials, and the transfer of energy between atmospheric, aquatic, and terrestrial systems. The INLAND (Integrated Land Surface Model) terrestrial ecosystem model is coupled with the THMB hydrological model to examine the hydrological balance and water dynamics for this region. The INLAND model is based on the IBIS dynamic vegetation model, while THMB represents the river, wetland and lake dynamics of the land surface. The modeled hydrological components are validated with surface and satellite-based estimates of precipitation (gridded observations from CRU v. 3.21, reanalysis data from ERA-interim, and TRMM estimates), evapotranspiration (MODIS and Land Flux-Eval dataset), total runoff (discharge data from ANA-Agência Nacional das Águas - Brazil), and terrestrial water storage (GRACE). Results show that the coupled hydrological model adequately represents the water cycle components, the river discharge and flooded areas. Model simulations are further used to study the influences of climatic variations on the hydrological components, river network, and the inundated areas in the Pantanal.

  8. Quantifying ecosystem quality by modeling multi-attribute expert opinion.

    Science.gov (United States)

    Sinclair, Steve J; Griffioen, Peter; Duncan, David H; Millett-Riley, Jessica E; Whitei, Matthew D

    2015-09-01

    The evaluation of ecosystem quality is inherently subjective, requiring decisions about which variables to notice or measure, and how these variables are integrated into a coherent evaluation. Despite the central role of human judgment, few evaluation methods address the subjectivity that is inherent in their design. There are, however, advantages to directly using opinion to create an expert system where the metric is constructed around opinion data. These advantages include stakeholder inclusion and the encouragement of a dialogue of data-driven criticism rather than subjective counter-opinion. We create an expert system to express the quality of a grassland ecosystem in Australia. We use an ensemble of bagged regression trees trained on calibrated expert preference data, to model the perceived quality of this grassland using a set of eight site variables as inputs. The model provides useful predictions of grassland quality, producing predictions similar to real expert evaluations of independent synthetic test sites not used to train the model. We apply the model to real grassland sites ranging from pristine to highly degraded, and confirm that our model orders the sites according to their degree of modification. We demonstrate that the use of too few experts produces relatively poor results, and show that for our problem the use of data from over twenty experts is appropriate. The scaling approach we used to calibrate between-expert data is shown to be an appropriate mechanism for aggregating the opinions of multiple experts. The resultant model will be useful in many contexts, and can be used by managers as a tool to evaluate real sites. It can also be integrated into ecological models of change as a means of evaluating predicted changes, for example, as a measure of utility when combined with cost estimates. The basic approach demonstrated here is applicable to any ecosystem, and we discuss the opportunities and limitations of its wider use.

  9. Pattern formation in flocking models: A hydrodynamic description

    Science.gov (United States)

    Solon, Alexandre P.; Caussin, Jean-Baptiste; Bartolo, Denis; Chaté, Hugues; Tailleur, Julien

    2015-12-01

    We study in detail the hydrodynamic theories describing the transition to collective motion in polar active matter, exemplified by the Vicsek and active Ising models. Using a simple phenomenological theory, we show the existence of an infinity of propagative solutions, describing both phase and microphase separation, that we fully characterize. We also show that the same results hold specifically in the hydrodynamic equations derived in the literature for the active Ising model and for a simplified version of the Vicsek model. We then study numerically the linear stability of these solutions. We show that stable ones constitute only a small fraction of them, which, however, includes all existing types. We further argue that, in practice, a coarsening mechanism leads towards phase-separated solutions. Finally, we construct the phase diagrams of the hydrodynamic equations proposed to qualitatively describe the Vicsek and active Ising models and connect our results to the phenomenology of the corresponding microscopic models.

  10. Pattern formation in flocking models: A hydrodynamic description.

    Science.gov (United States)

    Solon, Alexandre P; Caussin, Jean-Baptiste; Bartolo, Denis; Chaté, Hugues; Tailleur, Julien

    2015-12-01

    We study in detail the hydrodynamic theories describing the transition to collective motion in polar active matter, exemplified by the Vicsek and active Ising models. Using a simple phenomenological theory, we show the existence of an infinity of propagative solutions, describing both phase and microphase separation, that we fully characterize. We also show that the same results hold specifically in the hydrodynamic equations derived in the literature for the active Ising model and for a simplified version of the Vicsek model. We then study numerically the linear stability of these solutions. We show that stable ones constitute only a small fraction of them, which, however, includes all existing types. We further argue that, in practice, a coarsening mechanism leads towards phase-separated solutions. Finally, we construct the phase diagrams of the hydrodynamic equations proposed to qualitatively describe the Vicsek and active Ising models and connect our results to the phenomenology of the corresponding microscopic models.

  11. Identification of water quality degradation hotspots in developing countries by applying large scale water quality modelling

    Science.gov (United States)

    Malsy, Marcus; Reder, Klara; Flörke, Martina

    2014-05-01

    Decreasing water quality is one of the main global issues which poses risks to food security, economy, and public health and is consequently crucial for ensuring environmental sustainability. During the last decades access to clean drinking water increased, but 2.5 billion people still do not have access to basic sanitation, especially in Africa and parts of Asia. In this context not only connection to sewage system is of high importance, but also treatment, as an increasing connection rate will lead to higher loadings and therefore higher pressure on water resources. Furthermore, poor people in developing countries use local surface waters for daily activities, e.g. bathing and washing. It is thus clear that water utilization and water sewerage are indispensable connected. In this study, large scale water quality modelling is used to point out hotspots of water pollution to get an insight on potential environmental impacts, in particular, in regions with a low observation density and data gaps in measured water quality parameters. We applied the global water quality model WorldQual to calculate biological oxygen demand (BOD) loadings from point and diffuse sources, as well as in-stream concentrations. Regional focus in this study is on developing countries i.e. Africa, Asia, and South America, as they are most affected by water pollution. Hereby, model runs were conducted for the year 2010 to draw a picture of recent status of surface waters quality and to figure out hotspots and main causes of pollution. First results show that hotspots mainly occur in highly agglomerated regions where population density is high. Large urban areas are initially loading hotspots and pollution prevention and control become increasingly important as point sources are subject to connection rates and treatment levels. Furthermore, river discharge plays a crucial role due to dilution potential, especially in terms of seasonal variability. Highly varying shares of BOD sources across

  12. A Random Pattern Mixture Model for Ordinal Outcomes with Informative Dropouts

    Science.gov (United States)

    Liu, Chengcheng; Ratcliffe, Sarah J.; Guo, Wensheng

    2016-01-01

    We extend a random pattern mixture joint model for longitudinal ordinal outcomes and informative dropouts. The patients are generalized to ”pattern” groups based on known covariates that are potential surrogated for the severity of the underlying condition. The random pattern effects are defined as the latent effects linking the dropout process and the ordinal longitudinal outcome. Conditional on the random pattern effects, the longitudinal outcome and the dropout times are assumed independent. Estimates are obtained via the EM algorithm. We applied the model to the end-stage renal disease (ESRD) data. Anemia was found to be significantly affected by baseline iron treatment when the dropout information was adjusted via the study model; as opposed to an independent or shared parameter model. Simulations were performed to evaluate the performance of the random pattern mixture model under various assumptions. PMID:25894456

  13. Applying revised gap analysis model in measuring hotel service quality.

    Science.gov (United States)

    Lee, Yu-Cheng; Wang, Yu-Che; Chien, Chih-Hung; Wu, Chia-Huei; Lu, Shu-Chiung; Tsai, Sang-Bing; Dong, Weiwei

    2016-01-01

    With the number of tourists coming to Taiwan growing by 10-20 % since 2010, the number has increased due to an increasing number of foreign tourists, particularly after deregulation allowed admitting tourist groups, followed later on by foreign individual tourists, from mainland China. The purpose of this study is to propose a revised gap model to evaluate and improve service quality in Taiwanese hotel industry. Thus, service quality could be clearly measured through gap analysis, which was more effective for offering direction in developing and improving service quality. The HOLSERV instrument was used to identify and analyze service gaps from the perceptions of internal and external customers. The sample for this study included three main categories of respondents: tourists, employees, and managers. The results show that five gaps influenced tourists' evaluations of service quality. In particular, the study revealed that Gap 1 (management perceptions vs. customer expectations) and Gap 9 (service provider perceptions of management perceptions vs. service delivery) were more critical than the others in affecting perceived service quality, making service delivery the main area of improvement. This study contributes toward an evaluation of the service quality of the Taiwanese hotel industry from the perspectives of customers, service providers, and managers, which is considerably valuable for hotel managers. It was the aim of this study to explore all of these together in order to better understand the possible gaps in the hotel industry in Taiwan.

  14. Frameworks for Assessing the Quality of Modeling and Simulation Capabilities

    Science.gov (United States)

    Rider, W. J.

    2012-12-01

    The importance of assuring quality in modeling and simulation has spawned several frameworks for structuring the examination of quality. The format and content of these frameworks provides an emphasis, completeness and flow to assessment activities. I will examine four frameworks that have been developed and describe how they can be improved and applied to a broader set of high consequence applications. Perhaps the first of these frameworks was known as CSAU [Boyack] (code scaling, applicability and uncertainty) used for nuclear reactor safety and endorsed the United States' Nuclear Regulatory Commission (USNRC). This framework was shaped by nuclear safety practice, and the practical structure needed after the Three Mile Island accident. It incorporated the dominant experimental program, the dominant analysis approach, and concerns about the quality of modeling. The USNRC gave it the force of law that made the nuclear industry take it seriously. After the cessation of nuclear weapons' testing the United States began a program of examining the reliability of these weapons without testing. This program utilizes science including theory, modeling, simulation and experimentation to replace the underground testing. The emphasis on modeling and simulation necessitated attention on the quality of these simulations. Sandia developed the PCMM (predictive capability maturity model) to structure this attention [Oberkampf]. PCMM divides simulation into six core activities to be examined and graded relative to the needs of the modeling activity. NASA [NASA] has built yet another framework in response to the tragedy of the space shuttle accidents. Finally, Ben-Haim and Hemez focus upon modeling robustness and predictive fidelity in another approach. These frameworks are similar, and applied in a similar fashion. The adoption of these frameworks at Sandia and NASA has been slow and arduous because the force of law has not assisted acceptance. All existing frameworks are

  15. Application of water quality models to rivers in Johor

    Science.gov (United States)

    Chii, Puah Lih; Rahman, Haliza Abd.

    2017-08-01

    River pollution is one the most common hazard in many countries in the world, which includes Malaysia. Many rivers have been polluted because of the rapid growth in industrialization to support the country's growing population and economy. Domestic and industrial sewage, agricultural wastes have polluted the rivers and will affect the water quality. Based on the Malaysia Environment Quality Report 2007, the Department of Environment (DOE) has described that one of the major pollutants is Biochemical Oxygen Demand (BOD). Data from DOE in 2004, based on BOD, 18 river basins were classified polluted, 37 river basins were slightly polluted and 65 river basins were in clean condition. In this paper, two models are fitted the data of rivers in Johor state namely Streeter-Phelps model and nonlinear regression (NLR) model. The BOD concentration data for the two rivers in Johor state from year 1981 to year 1990 is analyzed. To estimate the parameters for the Streeter-Phelps model and NLR model, this study focuses on the weighted least squares and Gauss-Newton method respectively. Based on the value of Mean Square Error, NLR model is a better model compared to Streeter-Phelps model.

  16. Bayesian analysis of a reduced-form air quality model.

    Science.gov (United States)

    Foley, Kristen M; Reich, Brian J; Napelenok, Sergey L

    2012-07-17

    Numerical air quality models are being used for assessing emission control strategies for improving ambient pollution levels across the globe. This paper applies probabilistic modeling to evaluate the effectiveness of emission reduction scenarios aimed at lowering ground-level ozone concentrations. A Bayesian hierarchical model is used to combine air quality model output and monitoring data in order to characterize the impact of emissions reductions while accounting for different degrees of uncertainty in the modeled emissions inputs. The probabilistic model predictions are weighted based on population density in order to better quantify the societal benefits/disbenefits of four hypothetical emission reduction scenarios in which domain-wide NO(x) emissions from various sectors are reduced individually and then simultaneously. Cross validation analysis shows the statistical model performs well compared to observed ozone levels. Accounting for the variability and uncertainty in the emissions and atmospheric systems being modeled is shown to impact how emission reduction scenarios would be ranked, compared to standard methodology.

  17. Assessment of errors and uncertainty patterns in GIA modeling

    DEFF Research Database (Denmark)

    Barletta, Valentina Roberta; Spada, G.

    2012-01-01

    During the last decade many efforts have been devoted to the assessment of global sea level rise and to the determination of the mass balance of continental ice sheets. In this context, the important role of glacial-isostatic adjustment (GIA) has been clearly recognized. Yet, in many cases only one......, such as time-evolving shorelines and paleo coastlines. In this study we quantify these uncertainties and their propagation in GIA response using a Monte Carlo approach to obtain spatio-temporal patterns of GIA errors. A direct application is the error estimates in ice mass balance in Antarctica and Greenland...... due to GIA. GIA errors are also important in the far field of previously glaciated areas and in the time evolution of global indicators. In this regard we also account for other possible errors sources which can impact global indicators like the sea level history related to GIA....

  18. Knowledge Management through the Equilibrium Pattern Model for Learning

    Science.gov (United States)

    Sarirete, Akila; Noble, Elizabeth; Chikh, Azeddine

    Contemporary students are characterized by having very applied learning styles and methods of acquiring knowledge. This behavior is consistent with the constructivist models where students are co-partners in the learning process. In the present work the authors developed a new model of learning based on the constructivist theory coupled with the cognitive development theory of Piaget. The model considers the level of learning based on several stages and the move from one stage to another requires learners' challenge. At each time a new concept is introduced creates a disequilibrium that needs to be worked out to return back to its equilibrium stage. This process of "disequilibrium/equilibrium" has been analyzed and validated using a course in computer networking as part of Cisco Networking Academy Program at Effat College, a women college in Saudi Arabia. The model provides a theoretical foundation for teaching especially in a complex knowledge domain such as engineering and can be used in a knowledge economy.

  19. Physical optics modeling of modal patterns in a crossed porro prism resonator

    CSIR Research Space (South Africa)

    Litvin, IA

    2006-07-01

    Full Text Available of Modal Patterns in a Crossed Porro Prism Resonator IA LITVIN 1, L BURGER1 & A FORBES1 1CSIR National Laser Centre, PO Box 395, Pretoria 0001, South Africa ABSTRACT A physical optics model is proposed to describe the transverse modal patterns...

  20. Modeling future power plant location patterns. Final report

    International Nuclear Information System (INIS)

    Eagles, T.W.; Cohon, J.L.; ReVelle, C.

    1979-04-01

    The locations of future energy facilities must be specified to assess the potential environmental impact of those facilities. A computer model was developed to generate probable locations for the energy facilities needed to meet postulated future energy requirements. The model is designed to cover a very large geographical region. The regional demand for baseload electric generating capacity associated with a postulated demand growth rate over any desired time horizon is specified by the user as an input to the model. The model uses linear programming to select the most probable locations within the region, based on physical and political factors. The linear program is multi-objective, with four objective functions based on transmission, coal supply, population proximity, and water supply considerations. Minimizing each objective function leads to a distinct set of locations. The user can select the objective function or weighted combination of objective functions most appropriate to his interest. Users with disparate interests can use the model to see the locational changes which result from varying weighting of the objective functions. The model has been implemented in a six-state mid-Atlantic region. The year 2000 was chosen as the study year, and a test scenario postulating 2.25% growth in baseload generating capacity between 1977 and 2000 was chosen. The scenario stipulatedthat this capacity be 50% nuclear and 50% coal-fired. Initial utility reaction indicates the objective based on transmission costs is most important for such a large-scale analysis

  1. Modeling urbanization patterns at a global scale with generative adversarial networks

    Science.gov (United States)

    Albert, A. T.; Strano, E.; Gonzalez, M.

    2017-12-01

    Current demographic projections show that, in the next 30 years, global population growth will mostly take place in developing countries. Coupled with a decrease in density, such population growth could potentially double the land occupied by settlements by 2050. The lack of reliable and globally consistent socio-demographic data, coupled with the limited predictive performance underlying traditional urban spatial explicit models, call for developing better predictive methods, calibrated using a globally-consistent dataset. Thus, richer models of the spatial interplay between the urban built-up land, population distribution and energy use are central to the discussion around the expansion and development of cities, and their impact on the environment in the context of a changing climate. In this talk we discuss methods for, and present an analysis of, urban form, defined as the spatial distribution of macroeconomic quantities that characterize a city, using modern machine learning methods and best-available remote-sensing data for the world's largest 25,000 cities. We first show that these cities may be described by a small set of patterns in radial building density, nighttime luminosity, and population density, which highlight, to first order, differences in development and land use across the world. We observe significant, spatially-dependent variance around these typical patterns, which would be difficult to model using traditional statistical methods. We take a first step in addressing this challenge by developing CityGAN, a conditional generative adversarial network model for simulating realistic urban forms. To guide learning and measure the quality of the simulated synthetic cities, we develop a specialized loss function for GAN optimization that incorporates standard spatial statistics used by urban analysis experts. Our framework is a stark departure from both the standard physics-based approaches in the literature (that view urban forms as fractals with a

  2. Modeling Water Quality Parameters Using Data-driven Methods

    Directory of Open Access Journals (Sweden)

    Shima Soleimani

    2017-02-01

    Full Text Available Introduction: Surface water bodies are the most easily available water resources. Increase use and waste water withdrawal of surface water causes drastic changes in surface water quality. Water quality, importance as the most vulnerable and important water supply resources is absolutely clear. Unfortunately, in the recent years because of city population increase, economical improvement, and industrial product increase, entry of pollutants to water bodies has been increased. According to that water quality parameters express physical, chemical, and biological water features. So the importance of water quality monitoring is necessary more than before. Each of various uses of water, such as agriculture, drinking, industry, and aquaculture needs the water with a special quality. In the other hand, the exact estimation of concentration of water quality parameter is significant. Material and Methods: In this research, first two input variable models as selection methods (namely, correlation coefficient and principal component analysis were applied to select the model inputs. Data processing is consisting of three steps, (1 data considering, (2 identification of input data which have efficient on output data, and (3 selecting the training and testing data. Genetic Algorithm-Least Square Support Vector Regression (GA-LSSVR algorithm were developed to model the water quality parameters. In the LSSVR method is assumed that the relationship between input and output variables is nonlinear, but by using a nonlinear mapping relation can create a space which is named feature space in which relationship between input and output variables is defined linear. The developed algorithm is able to gain maximize the accuracy of the LSSVR method with auto LSSVR parameters. Genetic algorithm (GA is one of evolutionary algorithm which automatically can find the optimum coefficient of Least Square Support Vector Regression (LSSVR. The GA-LSSVR algorithm was employed to

  3. Characteristic patterns of cancer incidence: Epidemiological data, biological theories, and multistage models.

    Science.gov (United States)

    Hiller, Josh; Vallejo, Celeste; Betthauser, Leo; Keesling, James

    2017-03-01

    We investigate and classify several patterns in cancer incidence and relative risk data which persist across different countries and multiple published studies. We then explore biological hypotheses as well as many mathematical models in the literature that attempt to explain these patterns. A general modeling framework is presented which is general enough to model most of observed behaviors. It is our belief that this model has sufficient flexibility to be adapted to new information as it is discovered. As one application of this framework, we give a model for the effect of aging on the process of carcinogenesis. Copyright © 2016 Elsevier Ltd. All rights reserved.

  4. Sleep Patterns and Predictors of Poor Sleep Quality among Medical Students in King Khalid University, Saudi Arabia.

    Science.gov (United States)

    Siddiqui, Aesha Farheen; Al-Musa, Hasan; Al-Amri, Hasan; Al-Qahtani, Abdulkareem; Al-Shahrani, Mushabab; Al-Qahtani, Mohammad

    2016-11-01

    Sleep problems and poor sleep quality are important issues for medical students. This study aimed to investigate the sleep patterns, measure the prevalence of poor sleep quality, and identify the predictors of poor sleep among medical students in King Khalid University (KKU), Saudi Arabia. This cross-sectional study enrolled 318 medical students during October-November, 2015. Participants were selected by convenience sampling and data were collected using self-administered questionnaires to obtain information regarding socio-demographic variables and indicators of sleep quality. The overall mean sleep quality score was 6.79 with a standard deviation of 3.06. Poor sleep quality was reported by 74.2% students. Significantly high mean sleep quality scores (Pittsburgh Sleep Quality Index) were observed for students with very poor subjective sleep quality (mean = 10.50, SD = 2.58), least sleep efficiency (mean = 11.21, SD = 2.23), shorter sleep duration (mean = 7.83, SD = 2.88), sleep onset latency more than 30 minutes (mean = 7.82, SD = 2.53), sleeping after midnight (mean = 7.53, SD = 2.95), and use of sleep aiding medication (mean = 8.78, SD = 3.5). Significant differences were observed between good sleepers and poor sleepers regarding these sleep characteristics. Poor sleep was predicted by sleep behaviours such as going to sleep after midnight (AOR = 2.18, 95% CI: 1.20, 3.94) and sleep duration of less than seven hours (AOR = 7.49, 95% CI: 4.24, 13.22). Medical students of KKU have poor sleep quality. Longer sleep latency, going to sleep after midnight, and shorter sleep duration are important problems in this group.

  5. Prevalence, Pattern and Association of Pruritus with Quality of Life in ...

    African Journals Online (AJOL)

    BACKGROUND: Pruritus is a common cutaneous manifestation of chronic kidney disease (CKD). It is associated with poor sleep quality, anxiety and depression which may contribute to reduction in quality of life (QoL). Paying more attention to pruritus in CKD patients may improve their QoL, reduce kidney disease burden ...

  6. Pattern recognition analysis and classification modeling of selenium-producing areas

    Science.gov (United States)

    Naftz, D.L.

    1996-01-01

    Established chemometric and geochemical techniques were applied to water quality data from 23 National Irrigation Water Quality Program (NIWQP) study areas in the Western United States. These techniques were applied to the NIWQP data set to identify common geochemical processes responsible for mobilization of selenium and to develop a classification model that uses major-ion concentrations to identify areas that contain elevated selenium concentrations in water that could pose a hazard to water fowl. Pattern recognition modeling of the simple-salt data computed with the SNORM geochemical program indicate three principal components that explain 95% of the total variance. A three-dimensional plot of PC 1, 2 and 3 scores shows three distinct clusters that correspond to distinct hydrochemical facies denoted as facies 1, 2 and 3. Facies 1 samples are distinguished by water samples without the CaCO3 simple salt and elevated concentrations of NaCl, CaSO4, MgSO4 and Na2SO4 simple salts relative to water samples in facies 2 and 3. Water samples in facies 2 are distinguished from facies 1 by the absence of the MgSO4 simple salt and the presence of the CaCO3 simple salt. Water samples in facies 3 are similar to samples in facies 2, with the absence of both MgSO4 and CaSO4 simple salts. Water samples in facies 1 have the largest selenium concentration (10 ??gl-1), compared to a median concentration of 2.0 ??gl-1 and less than 1.0 ??gl-1 for samples in facies 2 and 3. A classification model using the soft independent modeling by class analogy (SIMCA) algorithm was constructed with data from the NIWQP study areas. The classification model was successful in identifying water samples with a selenium concentration that is hazardous to some species of water-fowl from a test data set comprised of 2,060 water samples from throughout Utah and Wyoming. Application of chemometric and geochemical techniques during data synthesis analysis of multivariate environmental databases from other

  7. MODELS OF QUALITY MANAGEMENT SYSTEM: CONTENT AND SCOPE

    Directory of Open Access Journals (Sweden)

    Awny ZREKAT

    2015-12-01

    Full Text Available In this article are analyzed methods developed to prevent the wastage of the majority of the benefit from the production process: JIT, Value Engineering and Constructability. These methods were developed parallel to the development of quality control, quality assurance and total quality management.MODELE DE SISTEM AL MANAGEMENTULUI CALITĂŢII: CONŢINUTUL ŞI DOMENIUL DE APLICAREÎn acest articol sunt analizate metodele de prevenire a pierderilor beneficiului majoritar din procesul de producţie: JIT (eficienţa timpului, Valoarea Inginerie, Constructivitate. Aceste metode au fost dezvoltate în paralel cu evoluţia controlului calităţii, asigurarea calităţii şi managementului calităţii totale.

  8. Longitudinal Patterns of Women's Marital Quality: The Case of Divorce, Cohabitation, and Race-Ethnicity.

    Science.gov (United States)

    James, Spencer

    2014-01-01

    Previous work on marital quality has compared average levels of marital quality by demographic characteristics, such as cohabitation, divorce, or race-ethnicity. Less work has examined whether such differences persist over time. To begin to answer this question, this paper uses multigroup latent growth curves to examine changes in marital quality over time in addition to measuring differences in levels of reported marital quality among cohabitors vs. non-cohabitors, divorced vs. stably married women, and members of different racial-ethnic groups. Although many of the differences are small and statistically insignificant, the results show that non-normative and traditionally disadvantaged groups experience not only lower levels of marital quality but that these differences also persist throughout the life course. I also show that using marital instead of relationship duration for cohabitors has substantive implications when interpreting the results.

  9. Cellular automaton modeling of biological pattern formation characterization, examples, and analysis

    CERN Document Server

    Deutsch, Andreas

    2017-01-01

    This text explores the use of cellular automata in modeling pattern formation in biological systems. It describes several mathematical modeling approaches utilizing cellular automata that can be used to study the dynamics of interacting cell systems both in simulation and in practice. New in this edition are chapters covering cell migration, tissue development, and cancer dynamics, as well as updated references and new research topic suggestions that reflect the rapid development of the field. The book begins with an introduction to pattern-forming principles in biology and the various mathematical modeling techniques that can be used to analyze them. Cellular automaton models are then discussed in detail for different types of cellular processes and interactions, including random movement, cell migration, adhesive cell interaction, alignment and cellular swarming, growth processes, pigment cell pattern formation, tissue development, tumor growth and invasion, and Turing-type patterns and excitable media. In ...

  10. Linking agricultural crop management and air quality models for regional to national-scale nitrogen assessments

    Science.gov (United States)

    Cooter, E. J.; Bash, J. O.; Benson, V.; Ran, L.

    2012-10-01

    While nitrogen (N) is an essential element for life, human population growth and demands for energy, transportation and food can lead to excess nitrogen in the environment. A modeling framework is described and implemented to promote a more integrated, process-based and system-level approach to the estimation of ammonia (NH3) emissions which result from the application of inorganic nitrogen fertilizers to agricultural soils in the United States. The United States Department of Agriculture (USDA) Environmental Policy Integrated Climate (EPIC) model is used to simulate plant demand-driven fertilizer applications to commercial cropland throughout the continental US. This information is coupled with a process-based air quality model to produce continental-scale NH3 emission estimates. Regional cropland NH3 emissions are driven by the timing and amount of inorganic NH3 fertilizer applied, soil processes, local meteorology, and ambient air concentrations. Initial fertilizer application often occurs when crops are planted. A state-level evaluation of EPIC-simulated, cumulative planted area compares well with similar USDA reported estimates. EPIC-annual, inorganic fertilizer application amounts also agree well with reported spatial patterns produced by others, but domain-wide the EPIC values are biased about 6% low. Preliminary application of the integrated fertilizer application and air quality modeling system produces a modified geospatial pattern of seasonal NH3 emissions that improves current simulations of observed atmospheric particle nitrate concentrations. This modeling framework provides a more dynamic, flexible, and spatially and temporally resolved estimate of NH3 emissions than previous factor-based NH3 inventories, and will facilitate evaluation of alternative nitrogen and air quality policy and adaptation strategies associated with future climate and land use changes.

  11. Linking agricultural crop management and air quality models for regional to national-scale nitrogen assessments

    Directory of Open Access Journals (Sweden)

    E. J. Cooter

    2012-10-01

    Full Text Available While nitrogen (N is an essential element for life, human population growth and demands for energy, transportation and food can lead to excess nitrogen in the environment. A modeling framework is described and implemented to promote a more integrated, process-based and system-level approach to the estimation of ammonia (NH3 emissions which result from the application of inorganic nitrogen fertilizers to agricultural soils in the United States. The United States Department of Agriculture (USDA Environmental Policy Integrated Climate (EPIC model is used to simulate plant demand-driven fertilizer applications to commercial cropland throughout the continental US. This information is coupled with a process-based air quality model to produce continental-scale NH3 emission estimates. Regional cropland NH3 emissions are driven by the timing and amount of inorganic NH3 fertilizer applied, soil processes, local meteorology, and ambient air concentrations. Initial fertilizer application often occurs when crops are planted. A state-level evaluation of EPIC-simulated, cumulative planted area compares well with similar USDA reported estimates. EPIC-annual, inorganic fertilizer application amounts also agree well with reported spatial patterns produced by others, but domain-wide the EPIC values are biased about 6% low. Preliminary application of the integrated fertilizer application and air quality modeling system produces a modified geospatial pattern of seasonal NH3 emissions that improves current simulations of observed atmospheric particle nitrate concentrations. This modeling framework provides a more dynamic, flexible, and spatially and temporally resolved estimate of NH3 emissions than previous factor-based NH3 inventories, and will facilitate evaluation of alternative nitrogen and air quality policy and adaptation strategies associated with future climate and land use changes.

  12. Computer modeling of dosimetric pattern in aquatic environment of ...

    African Journals Online (AJOL)

    The dose distribution functions for the three sources of radiation in the environment have been reviewed. The model representing the geometry of aquatic organisms have been employed in computationally solving the dose rates to aquatic organisms with emphasis on the coastal areas of Nigeria where oil exploration ...

  13. Modeling spatio-temporal wildfire ignition point patterns

    Science.gov (United States)

    Amanda S. Hering; Cynthia L. Bell; Marc G. Genton

    2009-01-01

    We analyze and model the structure of spatio-temporal wildfire ignitions in the St. Johns River Water Management District in northeastern Florida. Previous studies, based on the K-function and an assumption of homogeneity, have shown that wildfire events occur in clusters. We revisit this analysis based on an inhomogeneous K-...

  14. Stationary Patterns in One-Predator Two-Prey Models

    DEFF Research Database (Denmark)

    Pedersen, Michael; Zhigui, Lin

    1999-01-01

    Weakly-coupled elliptic system decribing models of simple three-species food webs such as the one-predator, two-prey modelis discussed. We show thatthere is no non-constant solution if diffusions or inter-specific competitions are strong, or if the intrinsic growths of the prey are slow...

  15. Employment, Production and Consumption model: Patterns of phase transitions

    Czech Academy of Sciences Publication Activity Database

    Lavička, H.; Lin, L.; Novotný, Jan

    2010-01-01

    Roč. 389, č. 8 (2010), s. 1708-1720 ISSN 0378-4371 Institutional research plan: CEZ:AV0Z10480505 Keywords : EPC * Agent based model * Phase transition Subject RIV: BG - Nuclear, Atomic and Molecular Physics, Colliders Impact factor: 1.521, year: 2010

  16. Branching Patterns and Stepped Leaders in an Electric-Circuit Model for Creeping Discharge

    Science.gov (United States)

    Hidetsugu Sakaguchi,; Sahim M. Kourkouss,

    2010-06-01

    We construct a two-dimensional electric circuit model for creeping discharge. Two types of discharge, surface corona and surface leader, are modeled by a two-step function of conductance. Branched patterns of surface leaders surrounded by the surface corona appear in numerical simulation. The fractal dimension of branched discharge patterns is calculated by changing voltage and capacitance. We find that surface leaders often grow stepwise in time, as is observed in lightning leaders of thunder.

  17. A perturbation analysis of a mechanical model for stable spatial patterning in embryology

    Science.gov (United States)

    Bentil, D. E.; Murray, J. D.

    1992-12-01

    We investigate a mechanical cell-traction mechanism that generates stationary spatial patterns. A linear analysis highlights the model's potential for these heterogeneous solutions. We use multiple-scale perturbation techniques to study the evolution of these solutions and compare our solutions with numerical simulations of the model system. We discuss some potential biological applications among which are the formation of ridge patterns, dermatoglyphs, and wound healing.

  18. Spatial pattern evaluation of a calibrated national hydrological model - a remote-sensing-based diagnostic approach

    Science.gov (United States)

    Mendiguren, Gorka; Koch, Julian; Stisen, Simon

    2017-11-01

    Distributed hydrological models are traditionally evaluated against discharge stations, emphasizing the temporal and neglecting the spatial component of a model. The present study widens the traditional paradigm by highlighting spatial patterns of evapotranspiration (ET), a key variable at the land-atmosphere interface, obtained from two different approaches at the national scale of Denmark. The first approach is based on a national water resources model (DK-model), using the MIKE-SHE model code, and the second approach utilizes a two-source energy balance model (TSEB) driven mainly by satellite remote sensing data. Ideally, the hydrological model simulation and remote-sensing-based approach should present similar spatial patterns and driving mechanisms of ET. However, the spatial comparison showed that the differences are significant and indicate insufficient spatial pattern performance of the hydrological model.The differences in spatial patterns can partly be explained by the fact that the hydrological model is configured to run in six domains that are calibrated independently from each other, as it is often the case for large-scale multi-basin calibrations. Furthermore, the model incorporates predefined temporal dynamics of leaf area index (LAI), root depth (RD) and crop coefficient (Kc) for each land cover type. This zonal approach of model parameterization ignores the spatiotemporal complexity of the natural system. To overcome this limitation, this study features a modified version of the DK-model in which LAI, RD and Kc are empirically derived using remote sensing data and detailed soil property maps in order to generate a higher degree of spatiotemporal variability and spatial consistency between the six domains. The effects of these changes are analyzed by using empirical orthogonal function (EOF) analysis to evaluate spatial patterns. The EOF analysis shows that including remote-sensing-derived LAI, RD and Kc in the distributed hydrological model adds

  19. Development of Deflection Prediction Model for Concrete Block Pavement Considering the Block Shapes and Construction Patterns

    Directory of Open Access Journals (Sweden)

    Wuguang Lin

    2016-01-01

    Full Text Available Concrete block pavement (CBP is distinct from typical concrete or asphalt pavements. It is built by using individual blocks with unique construction patterns forming a discrete surface layer to bear traffic loadings. The surface structure of CBP varies depending on the block shapes and construction patterns, so it is hard to apply a general equivalent elastic modulus estimation method to define the surface structural strength. In this study, FEM analysis and dynamic loading test were carried out to develop a deflection prediction model for CBP considering the block shapes and construction patterns. Based on the analysis results, it was found that block shapes did not have much effect on load distribution, whereas construction patterns did. By applying the deflection prediction model to the rutting model for CBP proposed by Sun, the herringbone bond pattern showed the best performance comparing with stretcher bond or basket weave bond pattern. As the load repetition increased to 1.2 million, the rutting depth of CBP constructed by herringbone bond pattern was 2 mm smaller than those constructed by the other two patterns.

  20. A NEW COMBINED LOCAL AND NON-LOCAL PBL MODEL FOR METEOROLOGY AND AIR QUALITY MODELING

    Science.gov (United States)

    A new version of the Asymmetric Convective Model (ACM) has been developed to describe sub-grid vertical turbulent transport in both meteorology models and air quality models. The new version (ACM2) combines the non-local convective mixing of the original ACM with local eddy diff...

  1. Evaluation of the meteorological forcing used for the Air Quality Model Evaluation International Initiative (AQMEII) air quality simulations

    NARCIS (Netherlands)

    Vautard, R.; Moran, M.D.; Solazzo, E.; Gilliam, R.C.; Matthias, V.; Bianconi, R.; Chemel, C.; Ferreira, J.; Geyer, B.; Hansen, A.B.; Jericevic, A.; Prank, M.; Segers, A.; Silver, J.D.; Werhahn, J.; Wolke, R.; Rao, S.T.; Galmarini, S.

    2012-01-01

    Accurate regional air pollution simulation relies strongly on the accuracy of the mesoscale meteorological simulation used to drive the air quality model. The framework of the Air Quality Model Evaluation International Initiative (AQMEII), which involved a large international community of modeling

  2. Evaluation of the meteorological forcing used the Air Quality Model Evaluation International Initiative (AQMEII) air quality simulations

    NARCIS (Netherlands)

    Segers, A.J.; Vautard, R.; Moran, M.D.; Solazzo, E.; Gilliam, R.C.; Matthias, V.; Bianconi, R.; Chemel, C.; Ferreira, J.; Geyer, B.; Hansen, A.B.; Jericevic, A.; Prank, M.; Silver, J.D.; Werhahn, J.; Wolke, R.; Rao, S.T.; Galmarini, S.

    2011-01-01

    Accurate regional air pollution simulation relies strongly on the accuracy of the mesoscale meteorological simulation used to drive the air quality model. The framework of the Air Quality Model Evaluation International Initiative (AQMEII), which involved a large international community of modeling

  3. Diagnostic Air Quality Model Evaluation of Source-Specific ...

    Science.gov (United States)

    Ambient measurements of 78 source-specific tracers of primary and secondary carbonaceous fine particulate matter collected at four midwestern United States locations over a full year (March 2004–February 2005) provided an unprecedented opportunity to diagnostically evaluate the results of a numerical air quality model. Previous analyses of these measurements demonstrated excellent mass closure for the variety of contributing sources. In this study, a carbon-apportionment version of the Community Multiscale Air Quality (CMAQ) model was used to track primary organic and elemental carbon emissions from 15 independent sources such as mobile sources and biomass burning in addition to four precursor-specific classes of secondary organic aerosol (SOA) originating from isoprene, terpenes, aromatics, and sesquiterpenes. Conversion of the source-resolved model output into organic tracer concentrations yielded a total of 2416 data pairs for comparison with observations. While emission source contributions to the total model bias varied by season and measurement location, the largest absolute bias of −0.55 μgC/m3 was attributed to insufficient isoprene SOA in the summertime CMAQ simulation. Biomass combustion was responsible for the second largest summertime model bias (−0.46 μgC/m3 on average). Several instances of compensating errors were also evident; model underpredictions in some sectors were masked by overpredictions in others. The National Exposure Research L

  4. A sediment resuspension and water quality model of Lake Okeechobee

    Science.gov (United States)

    James, R.T.; Martin, J.; Wool, T.; Wang, P.-F.

    1997-01-01

    The influence of sediment resuspension on the water quality of shallow lakes is well documented. However, a search of the literature reveals no deterministic mass-balance eutrophication models that explicitly include resuspension. We modified the Lake Okeeehobee water quality model - which uses the Water Analysis Simulation Package (WASP) to simulate algal dynamics and phosphorus, nitrogen, and oxygen cycles - to include inorganic suspended solids and algorithms that: (1) define changes in depth with changes in volume; (2) compute sediment resuspension based on bottom shear stress; (3) compute partition coefficients for ammonia and ortho-phosphorus to solids; and (4) relate light attenuation to solids concentrations. The model calibration and validation were successful with the exception of dissolved inorganic nitrogen species which did not correspond well to observed data in the validation phase. This could be attributed to an inaccurate formulation of algal nitrogen preference and/or the absence of nitrogen fixation in the model. The model correctly predicted that the lake is lightlimited from resuspended solids, and algae are primarily nitrogen limited. The model simulation suggested that biological fluxes greatly exceed external loads of dissolved nutrients; and sedimentwater interactions of organic nitrogen and phosphorus far exceed external loads. A sensitivity analysis demonstrated that parameters affecting resuspension, settling, sediment nutrient and solids concentrations, mineralization, algal productivity, and algal stoichiometry are factors requiring further study to improve our understanding of the Lake Okeechobee ecosystem.

  5. New Methods for Air Quality Model Evaluation with Satellite Data

    Science.gov (United States)

    Holloway, T.; Harkey, M.

    2015-12-01

    Despite major advances in the ability of satellites to detect gases and aerosols in the atmosphere, there remains significant, untapped potential to apply space-based data to air quality regulatory applications. Here, we showcase research findings geared toward increasing the relevance of satellite data to support operational air quality management, focused on model evaluation. Particular emphasis is given to nitrogen dioxide (NO2) and formaldehyde (HCHO) from the Ozone Monitoring Instrument aboard the NASA Aura satellite, and evaluation of simulations from the EPA Community Multiscale Air Quality (CMAQ) model. This work is part of the NASA Air Quality Applied Sciences Team (AQAST), and is motivated by ongoing dialog with state and federal air quality management agencies. We present the response of satellite-derived NO2 to meteorological conditions, satellite-derived HCHO:NO2 ratios as an indicator of ozone production regime, and the ability of models to capture these sensitivities over the continental U.S. In the case of NO2-weather sensitivities, we find boundary layer height, wind speed, temperature, and relative humidity to be the most important variables in determining near-surface NO2 variability. CMAQ agreed with relationships observed in satellite data, as well as in ground-based data, over most regions. However, we find that the southwest U.S. is a problem area for CMAQ, where modeled NO2 responses to insolation, boundary layer height, and other variables are at odds with the observations. Our analyses utilize a software developed by our team, the Wisconsin Horizontal Interpolation Program for Satellites (WHIPS): a free, open-source program designed to make satellite-derived air quality data more usable. WHIPS interpolates level 2 satellite retrievals onto a user-defined fixed grid, in effect creating custom-gridded level 3 satellite product. Currently, WHIPS can process the following data products: OMI NO2 (NASA retrieval); OMI NO2 (KNMI retrieval); OMI

  6. The perspective awareness model - Eliciting multiple perspectives to formulate high quality decisions

    International Nuclear Information System (INIS)

    Boucher, Laurel

    2013-01-01

    A great deal of attention is given to the importance of communication in environmental remediation and radioactive waste management. However, very little attention is given to eliciting multiple perspectives so as to formulate high quality decisions. Plans that are based on a limited number of perspectives tend to be narrowly focused whereas those that are based on a wide variety of perspectives tend to be comprehensive, higher quality, and more apt to be put into application. In addition, existing methods of dialogue have built-in limitations in that they typically draw from the predominant thinking patterns which focus in some areas but ignore others. This can result in clarity but a lack of comprehensiveness. This paper presents a Perspective Awareness Model which helps groups such as partnering teams, interagency teams, steering committees, and working groups elicit a wide net of perspectives and viewpoints. The paper begins by describing five factors that makes cooperation among such groups challenging. Next, a Perspective Awareness Model that makes it possible to manage these five factors is presented. The two primary components of this model --- the eight 'Thinking Directions' and the 'Shared Documentation' --- are described in detail. Several examples are given to illustrate how the Perspective Awareness Model can be used to elicit multiple perspectives to formulate high quality decisions in the area of environmental remediation and radioactive waste management. (authors)

  7. Patterns of Quality Of Life among Older Urban Dwellers with Mobility Disability in Malaysia

    Directory of Open Access Journals (Sweden)

    Nik Nairan Abdullah

    2016-06-01

    Full Text Available Mobility disability affects the quality of life for the older urban population. The objectives of this research paper were to determine the burden of mobility disability and explore influential factors affecting the quality of life of urban community aged 50 and above with mobility disability. Total of 481 participants who were randomly selected from two urban health centres have been interviewed using structured questionnaire in December 2014. The prevalence of mobility disability was 23.1%. All domains quality of life of older urbanites with mobility disability were significantly affected as compared with those without. These factors need to be emphasized in future planning for elderly.

  8. Patterns of sleep quality during and after postacute rehabilitation in older adults: a latent class analysis approach.

    Science.gov (United States)

    Martin, Jennifer L; Dzierzewski, Joseph M; Mitchell, Michael; Fung, Constance H; Jouldjian, Stella; Alessi, Cathy A

    2013-12-01

    Sleep quality is related to emotional, physical, psychological and cognitive functioning and functional independence in later life. After acute health events, older adults are likely to utilize postacute rehabilitation services to improve functioning and facilitate return to independent living. Patterns of how sleep changes with postacute rehabilitation, and predictors of such patterns, are unknown. The current investigation employed latent class analysis (LCA) methods to classify older adults (n = 233) into groups based on patterns of self-reported sleep quality pre-illness, during postacute rehabilitation and up to 1 year following postacute rehabilitation. Using LCA, older adults were grouped into (1) consistently good sleepers (46%), (2) good sleepers who transitioned into poor sleepers (34%), (3) consistently poor sleepers (14%) and (4) poor sleepers who transitioned into good sleepers (6%). In three planned analyses, pain was an independent predictor of membership in classes 1 or 2 (good pre-illness sleep quality) versus classes 3 or 4 (poor pre-illness sleep quality), and of membership in class 1 (consistently good sleep) versus class 2 (good sleep that transitioned to poor sleep). A lower Mini-Mental State Examination score was a predictor of membership in class 1 versus class 2. There were no statistically significant predictors of membership in class 3 versus class 4. Demographics, comorbidities and depressive symptoms were not significant predictors of class membership. These findings have implications for identification of older adults at risk for developing poor sleep associated with changes in health and postacute rehabilitation. The findings also suggest that pain symptoms should be targeted to improve sleep during postacute rehabilitation. © 2013 European Sleep Research Society.

  9. Patterns of fish diversity and assemblage structure and water quality in the longest Asian tropical river (Mekong)

    Science.gov (United States)

    Chea, R.; Lek, S.; Grenouillet, G.

    2016-12-01

    Although the Mekong River is one of the world's 35 biodiversity hotspots, the large-scale patterns of fish diversity and assemblage structure remain poorly addressed. The present study aimed to investigate the spatial variability of water quality in the Lower Mekong Basin and the fish distribution patterns in the Lower Mekong River (LMR) and to identify their environmental determinants. Daily fish catch data at 38 sites distributed along the LMR were related to 15 physicochemical and 19 climatic variables. As a result, four different clusters were defined according to the similarity in assemblage composition and 80 indicator species were identified. While fish species richness was highest in the Mekong delta and lowest in the upper part of the LMR, the diversity index was highest in the middle part of the LMR and lowest in the delta. We found that fish assemblages changed along the environmental gradients and that the main drivers affecting the fish assemblage structure were the seasonal variation of temperature, precipitation, dissolved oxygen, pH, and total phosphorus. Specifically, upstream assemblages were characterized by cyprinids and Pangasius catfish, well suited to low temperature, high dissolved oxygen and high pH. Fish assemblages in the delta were dominated by perch-like fish and clupeids, more tolerant to high temperatures, and high levels of nutrients (nitrates and total phosphorus) and salinity. Overall, the patterns were consistent between seasons. Our study contributes to establishing the first holistic fish community study in the LMR. Overall of the LMR water quality, we found that the water in the mainstream was less polluted than its tributaries; eutrophication and salinity could be key factors affecting water quality in LMR. Moreover, the seasonal variation of water quality seemed to be less marked than spatial variation occurring along the longitudinal gradient of Mekong River. Significant degradations were mainly associated with human

  10. Temporal Dietary Patterns Derived among the Adult Participants of the National Health and Nutrition Examination Survey 1999-2004 Are Associated with Diet Quality.

    Science.gov (United States)

    Eicher-Miller, Heather A; Khanna, Nitin; Boushey, Carol J; Gelfand, Saul B; Delp, Edward J

    2016-02-01

    Temporal dietary patterns, the distribution of energy or nutrient intakes observed over a period of time, is an emerging area of dietary patterns research that incorporates time of dietary intake with frequency and amount of intake to determine population clusters that may have similar characteristics or outcomes related to diet quality. We examined whether differences in diet quality were present between clusters of individuals with similar daily temporal dietary patterns. The first-day 24-hour dietary recall data from the cross-sectional National Health and Nutrition Examination Survey, 1999-2004, were used to determine proportional energy intake, time of intake, frequency of intake occasions, and mean diet quality. Data from 9,326 US adults aged 20 to 65 years were included. The mean diet quality, classified by the Healthy Eating Index-2005, of participant clusters with similar temporal dietary patterns derived on the basis of individual proportional energy intake, time of intake, and frequency of intake, were inferentially compared using multiple linear regression that controlled for potential confounders and other covariates (PDiet quality differences were present between US population clusters exhibiting similar daily temporal dietary patterns (Pdiet quality, demonstrating that elements beyond food and nutrient intake, such as time, can be incorporated with dietary patterns to determine links to diet quality that enhance knowledge of the complicated interplay of time and dietary patterns. Copyright © 2016 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.

  11. A scan for models with realistic fermion mass patterns

    International Nuclear Information System (INIS)

    Bijnens, J.; Wetterich, C.

    1986-03-01

    We consider models which have no small Yukawa couplings unrelated to symmetry. This situation is generic in higher dimensional unification where Yukawa couplings are predicted to have strength similar to the gauge couplings. Generations have then to be differentiated by symmetry properties and the structure of fermion mass matrices is given in terms of quantum numbers alone. We scan possible symmetries leading to realistic mass matrices. (orig.)

  12. Water quality modelling for ephemeral rivers: Model development and parameter assessment

    Science.gov (United States)

    Mannina, Giorgio; Viviani, Gaspare

    2010-11-01

    SummaryRiver water quality models can be valuable tools for the assessment and management of receiving water body quality. However, such water quality models require accurate model calibration in order to specify model parameters. Reliable model calibration requires an extensive array of water quality data that are generally rare and resource-intensive, both economically and in terms of human resources, to collect. In the case of small rivers, such data are scarce due to the fact that these rivers are generally considered too insignificant, from a practical and economic viewpoint, to justify the investment of such considerable time and resources. As a consequence, the literature contains very few studies on the water quality modelling for small rivers, and such studies as have been published are fairly limited in scope. In this paper, a simplified river water quality model is presented. The model is an extension of the Streeter-Phelps model and takes into account the physico-chemical and biological processes most relevant to modelling the quality of receiving water bodies (i.e., degradation of dissolved carbonaceous substances, ammonium oxidation, algal uptake and denitrification, dissolved oxygen balance, including depletion by degradation processes and supply by physical reaeration and photosynthetic production). The model has been applied to an Italian case study, the Oreto river (IT), which has been the object of an Italian research project aimed at assessing the river's water quality. For this reason, several monitoring campaigns have been previously carried out in order to collect water quantity and quality data on this river system. In particular, twelve river cross sections were monitored, and both flow and water quality data were collected for each cross section. The results of the calibrated model show satisfactory agreement with the measured data and results reveal important differences between the parameters used to model small rivers as compared to

  13. Use of Quality Models and Indicators for Evaluating Test Quality in an ESP Course

    Directory of Open Access Journals (Sweden)

    IEVA RUDZINSKA

    2013-12-01

    Full Text Available Qualitative methods of assessment play a decisive role in education in general and in language learning in particular. The necessity to perform a qualitative assessment comes from both increased student competition in higher education institutions (HEIs, and hence higher demands for fair assessment, and a growing public awareness on higher education issues, and therefore the need to account for a wider circle of stakeholders, including society as a whole. The aim of the present paper is to study the regulations and laws pertaining to the issue of assessment in Latvian HEIs, as well as to carry out literature sources analysis about assessment in language testing, seeking to select criteria characterizing the quality of English for Specific Purposes (ESP tests and to apply the model of evaluating the quality of a language test on an example of a test in sport English, developed in a Latvian higher education institution. An analysis of the regulations and laws about assessment in higher education and literature sources about tests in language courses has enabled the development of a test quality model, consisting of seven intrinsic quality criteria: clarity, adequacy, deep approach, attractiveness, originality/similarity, orientation towards student learning result/process, test scoring objectivity/subjectivity. Quality criteria comprise eleven indicators. The reliability of the given model is evaluated by means of the whole model, its criteria and indicator Cronbach’s alphas and point-biserial (item-total correlations or discrimination indexes DI. The test was taken by 63 participants, all of them 2nd year full time students attending a Latvian higher education institution. A statistical data analysis was performed with SPSS 17.0. The results show that, although test adequacy and clarity is sufficiently high, attractiveness and deep approach should be improved. Also the reliability of one version of the test is higher than that of the other one

  14. Estimation of fringe orientation for optical fringe patterns with poor quality based on Fourier transform.

    Science.gov (United States)

    Tang, Chen; Wang, Zhifang; Wang, Linlin; Wu, Jian; Gao, Tao; Yan, Si

    2010-02-01

    Fringe orientation represents an important property of fringes. The estimation of orientation from a poor quality fringe image is still a challenging problem faced in this area. This paper introduces a new approach for estimating optical fringe orientation with a poor quality image. This approach is based on the power spectrum analysis of the Fourier transform. We evaluate the performance of this algorithm via application to a variety of test cases and comparison with the widely used gradient-based method and accumulate-differences method. The experimental results show that our method is capable of calculating fringe orientation robustly even when the quality of fringe images is considerably low because of high or low density, high noise, and low contrast. Under the same conditions, our accuracy is even better than that obtained with the gradient-based and accumulate-differences methods, especially for fringe images with poor quality.

  15. Empirical sewer water quality model for generating influent data for WWTP modelling

    OpenAIRE

    Langeveld, Jeroen; Van Daal, Petra; Schilperoort, Remy; Nopens, Ingmar; Flameling, Tony; Weijers, Stefan

    2017-01-01

    Wastewater treatment plants (WWTP) typically have a service life of several decades. During this service life, external factors, such as changes in the effluent standards or the loading of the WWTP may change, requiring WWTP performance to be optimized. WWTP modelling is widely accepted as a means to assess and optimize WWTP performance. One of the challenges for WWTP modelling remains the prediction of water quality at the inlet of a WWTP. Recent applications of water quality sensors have re...

  16. On Reconciliation of Traditional Water Quality Models and Activated Sludge Models

    OpenAIRE

    Masliev, I.; Somlyody, L.; Koncsos, L.

    1995-01-01

    Models of the oxidation of organic material developed for river water quality management and for biological wastewater treatment differ widely in state variables and process descriptions due to their development history, environmental conditions and the objectives of the two approaches. The IAWPRC/IAWQ Activated Sludge Model No. 1 (ASM-I) resulted from a coordinated effort of a dedicated specialist group at the mid 1980s and thus free of the inconsistencies inherent in ambient water quality m...

  17. Air Quality Forecasts Using the NASA GEOS Model

    Science.gov (United States)

    Keller, Christoph A.; Knowland, K. Emma; Nielsen, Jon E.; Orbe, Clara; Ott, Lesley; Pawson, Steven; Saunders, Emily; Duncan, Bryan; Follette-Cook, Melanie; Liu, Junhua; hide

    2018-01-01

    We provide an introduction to a new high-resolution (0.25 degree) global composition forecast produced by NASA's Global Modeling and Assimilation office. The NASA Goddard Earth Observing System version 5 (GEOS-5) model has been expanded to provide global near-real-time forecasts of atmospheric composition at a horizontal resolution of 0.25 degrees (25 km). Previously, this combination of detailed chemistry and resolution was only provided by regional models. This system combines the operational GEOS-5 weather forecasting model with the state-of-the-science GEOS-Chem chemistry module (version 11) to provide detailed chemical analysis of a wide range of air pollutants such as ozone, carbon monoxide, nitrogen oxides, and fine particulate matter (PM2.5). The resolution of the forecasts is the highest resolution compared to current, publically-available global composition forecasts. Evaluation and validation of modeled trace gases and aerosols compared to surface and satellite observations will be presented for constituents relative to health air quality standards. Comparisons of modeled trace gases and aerosols against satellite observations show that the model produces realistic concentrations of atmospheric constituents in the free troposphere. Model comparisons against surface observations highlight the model's capability to capture the diurnal variability of air pollutants under a variety of meteorological conditions. The GEOS-5 composition forecasting system offers a new tool for scientists and the public health community, and is being developed jointly with several government and non-profit partners. Potential applications include air quality warnings, flight campaign planning and exposure studies using the archived analysis fields.

  18. Gaia: automated quality assessment of protein structure models.

    Science.gov (United States)

    Kota, Pradeep; Ding, Feng; Ramachandran, Srinivas; Dokholyan, Nikolay V

    2011-08-15

    Increasing use of structural modeling for understanding structure-function relationships in proteins has led to the need to ensure that the protein models being used are of acceptable quality. Quality of a given protein structure can be assessed by comparing various intrinsic structural properties of the protein to those observed in high-resolution protein structures. In this study, we present tools to compare a given structure to high-resolution crystal structures. We assess packing by calculating the total void volume, the percentage of unsatisfied hydrogen bonds, the number of steric clashes and the scaling of the accessible surface area. We assess covalent geometry by determining bond lengths, angles, dihedrals and rotamers. The statistical parameters for the above measures, obtained from high-resolution crystal structures enable us to provide a quality-score that points to specific areas where a given protein structural model needs improvement. We provide these tools that appraise protein structures in the form of a web server Gaia (http://chiron.dokhlab.org). Gaia evaluates the packing and covalent geometry of a given protein structure and provides quantitative comparison of the given structure to high-resolution crystal structures. dokh@unc.edu Supplementary data are available at Bioinformatics online.

  19. Stormwater quality modeling for upscaling MSMA stormwater management ecohydrology

    Science.gov (United States)

    Sidek, L. M.; Zainal Abidin, M. R.; Esfahani, F. Z.; Basri, H.

    2013-06-01

    Langat River is 180 km length has a total catchment area of 2,350 km2. The Langat River is classified as Class II in the upstream, and as the water flows downstream the quality degrades to Class III and IV. This degradation is caused by the rapid and uncontrolled urbanization in the contributing catchment of the river. The characteristics of the river and its contributing catchment are modeled using Model for Urban Stormwater Improvement Conceptualisation (MUSIC) in order to rehabilitate the river and enhance its Water Quality Index (WQI) to Class II. The historical rainfall data was obtained from DID for the period from 1974 to 2012. This paper presents the effects of various BMP Components on rehabilitating the water quality of the river. In addition, the minimum amount of river flow required for protection of the habitats and the river's ecology has been assessed during the dry seasons. The outcomes of this study suggest the most appropriate Best Management Practices that can be used as solutions for the river's rehabilitation. Simulations and modeling result found out that a configuration of wetlands, bio-retention systems and ponds are capable to reduce pollutants loadings such as TSS, TP and TN by 85.1%, 69.1% and 37.5% respectively

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

    DEFF Research Database (Denmark)

    Olsen, Martin

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