Deriving the expected utility of a predictive model when the utilities are uncertain.

Science.gov (United States)

Cooper, Gregory F; Visweswaran, Shyam

2005-01-01

Predictive models are often constructed from clinical databases with the goal of eventually helping make better clinical decisions. Evaluating models using decision theory is therefore natural. When constructing a model using statistical and machine learning methods, however, we are often uncertain about precisely how the model will be used. Thus, decision-independent measures of classification performance, such as the area under an ROC curve, are popular. As a complementary method of evaluation, we investigate techniques for deriving the expected utility of a model under uncertainty about the model's utilities. We demonstrate an example of the application of this approach to the evaluation of two models that diagnose coronary artery disease.

INFLUENCE OF STUDENT ENGLISH UTILITY AND TEACHER EFFICACY ON ENGLISH PROFICIENCY OF HIGH SCHOOL STUDENTS

Directory of Open Access Journals (Sweden)

Ruth A. ORTEGA-DELA CRUZ

2016-12-01

Full Text Available Learning second language considers a number of factors that influence the manner in which the language is taught. Understanding of the learners’ goals and motivation for learning is one. Using descriptive-correlational research design, this study determined the influence of student English utility and teacher efficacy on the students’ English proficiency. A total of 101 students from first year to fourth year level served as the respondents of the study. The study quantified the students’ perception towards English utility and their evaluation of English teacher efficacy which employed a researcher-made survey questionnaire. Results revealed high positive perceptions of students towards English utility. Analysis of variance revealed significant differences in the perceptions of high school students on the efficacy of their English teachers. Correlation coefficients indicated a positive linear relationship among the given variables. The p-value revealed significant relationship of teacher efficacy (r = .691, p-value = .000 and English utility (r = .467, p-value = .000 to students’ English proficiency. Results of regression statistics revealed that English utility has no significant influence on the student English proficiency. Therefore, the main factor that must still be considered then should be the teacher. Finally, there is an explicit indication that high level of teachers’ efficacy performing in teaching has much powerful influence on the English proficiency of high school students. Thus improving the methods of teaching English provides a better way of motivating students to achieve higher levels of proficiency in the future.

Predictors of Adolescent Health Care Utilization

Science.gov (United States)

Vingilis, Evelyn; Wade, Terrance; Seeley, Jane

2007-01-01

This study, using Andersen's health care utilization model, examined how predisposing characteristics, enabling resources, need, personal health practices, and psychological factors influence health care utilization using a nationally representative, longitudinal sample of Canadian adolescents. Second, this study examined whether this process…

INFLUENCE OF SUPPLY AND DEMAND FACTORS AT THE DEVELOPMENT OF ENVIRONMENTALLY RESPONSIBLE HOUSING AND UTILITIES SECTOR IN THE RUSSIAN FEDERATION

Directory of Open Access Journals (Sweden)

Natalia B. Safronova

2016-11-01

Full Text Available Empirical marketing regional research on supply and demand factors of housing and communal services (HCS revealed determinants of customer loyalty and satisfaction with the service level and factors influencing on willingness to purchase additional services. Specific features of housing and utilities sector (HUS as a social significant industry determine requirements to models reflecting reciprocal influence of indices of satisfaction, loyalty and economic indices of operation. The article presents definition of requirements along with development of techniques for modeling influence of satisfaction and loyalty on consumer behaviour of clients. The authors demonstrate trustworthy statistical results of correlative interrelationship of different factors. There have been designed regression models for taking management solutions by executives of management company housing and communal services at the development environmental responsibility. The causes that lead and hamper development of socially oriented services in different regions of the Russian Federation have been identified.

Business model innovation for sustainable energy: German utilities and renewable energy

International Nuclear Information System (INIS)

Richter, Mario

2013-01-01

The electric power sector stands at the beginning of a fundamental transformation process towards a more sustainable production based on renewable energies. Consequently, electric utilities as incumbent actors face a massive challenge to find new ways of creating, delivering, and capturing value from renewable energy technologies. This study investigates utilities' business models for renewable energies by analyzing two generic business models based on a series of in-depth interviews with German utility managers. It is found that utilities have developed viable business models for large-scale utility-side renewable energy generation. At the same time, utilities lack adequate business models to commercialize small-scale customer-side renewable energy technologies. By combining the business model concept with innovation and organization theory practical recommendations for utility mangers and policy makers are derived. - Highlights: • The energy transition creates a fundamental business model challenge for utilities. • German utilities succeed in large-scale and fail in small-scale renewable generation. • Experiences from other industries are available to inform utility managers. • Business model innovation capabilities will be crucial to master the energy transition

Influencers of generic drug utilization: A systematic review.

Science.gov (United States)

Howard, Jennifer N; Harris, Ilene; Frank, Gavriella; Kiptanui, Zippora; Qian, Jingjing; Hansen, Richard

2017-08-04

With an increase in prescription drug spending and rising drug costs there is a need to encourage the use of generic prescription drugs. However, maximizing generic drug use is not possible without the public's positive perception and meeting their informational needs about generic drugs. Thus, improving the public's confidence in, and knowledge of generic drugs on the market is critical. The objective of this systematic review is to examine and evaluate the studies focusing on the nature and extent of key factors influencing generic drug use in the United States in order to help guide policy, education and practice interventions. Using multiple search engines and key word screening criteria, empirical studies published in English between January 1, 2005 and December 31, 2015 were identified. A qualitative synthesis of the evidence identified domains of key factors that influenced generic drug use across studies. Over 3000 citations met the key word screening criteria; 67 of these met inclusion criteria for the systematic review. Seven domains of factors that influence generic drug utilization were identified: 1) patient-related factors, 2) formulary management or cost containment, 3) healthcare policies, 4) promotional activities, 5) educational initiatives, 6) technology, and 7) physician-related factors. Patients, physicians, pharmacists, formulary managers, and policymakers play an important role in generic drug use. Understanding the factors influencing generic drug use can help guide future policy, education, and practice interventions to increase generic drug use. Copyright © 2017 Elsevier Inc. All rights reserved.

Does employee safety influence customer satisfaction? Evidence from the electric utility industry.

Science.gov (United States)

Willis, P Geoffrey; Brown, Karen A; Prussia, Gregory E

2012-12-01

Research on workplace safety has not examined implications for business performance outcomes such as customer satisfaction. In a U.S. electric utility company, we surveyed 821 employees in 20 work groups, and also had access to archival safety data and the results of a customer satisfaction survey (n=341). In geographically-based work units where there were more employee injuries (based on archival records), customers were less satisfied with the service they received. Safety climate, mediated by safety citizenship behaviors (SCBs), added to the predictive power of the group-level model, but these two constructs exerted their influence independently from actual injuries. In combination, two safety-related predictor paths (injuries and climate/SCB) explained 53% of the variance in customer satisfaction. Results offer preliminary evidence that workplace safety influences customer satisfaction, suggesting that there are likely spillover effects between the safety environment and the service environment. Additional research will be needed to assess the specific mechanisms that convert employee injuries into palpable results for customers. Better safety climate and reductions in employee injuries have the potential to offer payoffs in terms of what customers experience. Copyright © 2012 National Safety Council and Elsevier Ltd. All rights reserved.

Mathematical models for estimating radio channels utilization when ...

African Journals Online (AJOL)

Definition of the radio channel utilization indicator is given. Mathematical models for radio channels utilization assessment by real-time flows transfer in the wireless self-organized network are presented. Estimated experiments results according to the average radio channel utilization productivity with and without buffering of ...

Modeling and design of light powered biomimicry micropump utilizing transporter proteins

Science.gov (United States)

Liu, Jin; Sze, Tsun-Kay Jackie; Dutta, Prashanta

2014-11-01

The creation of compact micropumps to provide steady flow has been an on-going challenge in the field of microfluidics. We present a mathematical model for a micropump utilizing Bacteriorhodopsin and sugar transporter proteins. This micropump utilizes transporter proteins as method to drive fluid flow by converting light energy into chemical potential. The fluid flow through a microchannel is simulated using the Nernst-Planck, Navier-Stokes, and continuity equations. Numerical results show that the micropump is capable of generating usable pressure. Designing parameters influencing the performance of the micropump are investigated including membrane fraction, lipid proton permeability, illumination, and channel height. The results show that there is a substantial membrane fraction region at which fluid flow is maximized. The use of lipids with low membrane proton permeability allows illumination to be used as a method to turn the pump on and off. This capability allows the micropump to be activated and shut off remotely without bulky support equipment. This modeling work provides new insights on mechanisms potentially useful for fluidic pumping in self-sustained bio-mimic microfluidic pumps. This work is supported in part by the National Science Fundation Grant CBET-1250107.

A sequential model for the structure of health care utilization.

NARCIS (Netherlands)

Herrmann, W.J.; Haarmann, A.; Baerheim, A.

2017-01-01

Traditional measurement models of health care utilization are not able to represent the complex structure of health care utilization. In this qualitative study, we, therefore, developed a new model to represent the health care utilization structure. In Norway and Germany, we conducted episodic

Expected utility and catastrophic risk in a stochastic economy-climate model

Energy Technology Data Exchange (ETDEWEB)

Ikefuji, M. [Institute of Social and Economic Research, Osaka University, Osaka (Japan); Laeven, R.J.A.; Magnus, J.R. [Department of Econometrics and Operations Research, Tilburg University, Tilburg (Netherlands); Muris, C. [CentER, Tilburg University, Tilburg (Netherlands)

2010-11-15

In the context of extreme climate change, we ask how to conduct expected utility analysis in the presence of catastrophic risks. Economists typically model decision making under risk and uncertainty by expected utility with constant relative risk aversion (power utility); statisticians typically model economic catastrophes by probability distributions with heavy tails. Unfortunately, the expected utility framework is fragile with respect to heavy-tailed distributional assumptions. We specify a stochastic economy-climate model with power utility and explicitly demonstrate this fragility. We derive necessary and sufficient compatibility conditions on the utility function to avoid fragility and solve our stochastic economy-climate model for two examples of such compatible utility functions. We further develop and implement a procedure to learn the input parameters of our model and show that the model thus specified produces quite robust optimal policies. The numerical results indicate that higher levels of uncertainty (heavier tails) lead to less abatement and consumption, and to more investment, but this effect is not unlimited.

Comparison between the Health Belief Model and Subjective Expected Utility Theory: predicting incontinence prevention behaviour in post-partum women.

Science.gov (United States)

Dolman, M; Chase, J

1996-08-01

A small-scale study was undertaken to test the relative predictive power of the Health Belief Model and Subjective Expected Utility Theory for the uptake of a behaviour (pelvic floor exercises) to reduce post-partum urinary incontinence in primigravida females. A structured questionnaire was used to gather data relevant to both models from a sample antenatal and postnatal primigravida women. Questions examined the perceived probability of becoming incontinent, the perceived (dis)utility of incontinence, the perceived probability of pelvic floor exercises preventing future urinary incontinence, the costs and benefits of performing pelvic floor exercises and sources of information and knowledge about incontinence. Multiple regression analysis focused on whether or not respondents intended to perform pelvic floor exercises and the factors influencing their decisions. Aggregated data were analysed to compare the Health Belief Model and Subjective Expected Utility Theory directly.

A Utility Model for Teaching Load Decisions in Academic Departments.

Science.gov (United States)

Massey, William F.; Zemsky, Robert

1997-01-01

Presents a utility model for academic department decision making and describes the structural specifications for analyzing it. The model confirms the class-size utility asymmetry predicted by the authors' academic rachet theory, but shows that marginal utility associated with college teaching loads is always negative. Curricular structure and…

User Utility Oriented Queuing Model for Resource Allocation in Cloud Environment

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Zhe Zhang

2015-01-01

Full Text Available Resource allocation is one of the most important research topics in servers. In the cloud environment, there are massive hardware resources of different kinds, and many kinds of services are usually run on virtual machines of the cloud server. In addition, cloud environment is commercialized, and economical factor should also be considered. In order to deal with commercialization and virtualization of cloud environment, we proposed a user utility oriented queuing model for task scheduling. Firstly, we modeled task scheduling in cloud environment as an M/M/1 queuing system. Secondly, we classified the utility into time utility and cost utility and built a linear programming model to maximize total utility for both of them. Finally, we proposed a utility oriented algorithm to maximize the total utility. Massive experiments validate the effectiveness of our proposed model.

Influence of energy concentration and source on the utilization of feed protein and NPN in lambs. 2

International Nuclear Information System (INIS)

Ulbrich, M.; Bassuny, S.M.; Geissler, C.; Hoffmann, M.

1989-01-01

In an experiment 12 lambs of the species merino meet sheep were divided into 4 groups. The variants HE received 740 or 718 EFU cattle /kg DM and the variants NE 689 or 671 EFU cattle /kg DM. The different energy concentrations resulted from differentiated quotas of dried sugar beet chips and wheat starch supplements. Within the variants, sub-variants with (HESZ, NESZ) or without (HES, NES) sugar supplement were formed. Due to varied DM intake, the average energy intake in all groups was 42 EFU cattle /kg LW 0.75 . N balance experiments using 15 N-labelled urea were carried out, and 15 N accumulation of N excretion was projected to a steady state. The partial utilization of pure protein and NPN in the ration was ascertained with the help of a 3-pool compartment model of N utilization in ruminants. In the non-amino acid N pool HE utilized 84% of NPN and NE 77% for the synthesis of amino and nucleic acids. The efficiency of protein synthesis in the amino acid N-pool were in HESZ 64%, HES 70%, NESZ 70% and NES 73% resp. The total utilization of NPN is the sum of the partial utilization in the two pools, whereas the total utilization of pure protein is calculated from the true digestibility and the efficiency of the utilization in the AA-N pool. The total utilization of NPN for the synthesis of protein for the protein pool amounted to 40/35/41/33% and that of pure protein to 54/51/49/50%. Energy intake being identical, energy concentration did not have an influence on the utilization of pure protein and NPN, whereas NPN utilization was better in rations containing sugar. The pure protein in the ration was by 19 - 52% better utilized than NPN. (author)

Community perceptions and factors influencing utilization of health services in Uganda

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Galea Sandro

2009-07-01

Full Text Available Abstract Background Healthcare utilization has particular relevance as a public health and development issue. Unlike material and human capital, there is little empirical evidence on the utility of social resources in overcoming barriers to healthcare utilization in a developing country context. We sought to assess the relevance of social resources in overcoming barriers to healthcare utilization. Study Objective To explore community perceptions among three different wealth categories on factors influencing healthcare utilization in Eastern Uganda. Methods We used a qualitative study design using Focus Group Discussions (FGD to conduct the study. Community meetings were initially held to identify FGD participants in the different wealth categories, ('least poor', 'medium' and 'poorest' using poverty ranking based on ownership of assets and income sources. Nine FGDs from three homogenous wealth categories were conducted. Data from the FGDs was analyzed using content analysis revealing common barriers as well as facilitating factors for healthcare service utilization by wealth categories. The Health Access Livelihood Framework was used to examine and interpret the findings. Results Barriers to healthcare utilization exist for all the wealth categories along three different axes including: the health seeking process; health services delivery; and the ownership of livelihood assets. Income source, transport ownership, and health literacy were reported as centrally useful in overcoming some barriers to healthcare utilization for the 'least poor' and 'poor' wealth categories. The 'poorest' wealth category was keen to utilize free public health services. Conversely, there are perceptions that public health facilities were perceived to offer low quality care with chronic gaps such as shortages of essential supplies. In addition to individual material resources and the availability of free public healthcare services, social resources are perceived as

Asset transformation and the challenges to servitize a utility business model

International Nuclear Information System (INIS)

Helms, Thorsten

2016-01-01

The traditional energy utility business model is under pressure, and energy services are expected to play an important role for the energy transition. Experts and scholars argue that utilities need to innovate their business models, and transform from commodity suppliers to service providers. The transition from a product-oriented, capital-intensive business model based on tangible assets, towards a service-oriented, expense-intensive business model based on intangible assets may present great managerial and organizational challenges. Little research exists about such transitions for capital-intensive commodity providers, and particularly energy utilities, where the challenges to servitize are expected to be greatest. This qualitative paper explores the barriers to servitization within selected Swiss and German utility companies through a series of interviews with utility managers. One of them is ‘asset transformation’, the shift from tangible to intangible assets as major input factor for the value proposition, which is proposed as a driver for the complexity of business model transitions. Managers need to carefully manage those challenges, and find ways to operate both new service and established utility business models aside. Policy makers can support the transition of utilities through more favorable regulatory frameworks for energy services, and by supporting the exchange of knowledge in the industry. - Highlights: •The paper analyses the expected transformation of utilities into service-providers. •Service and utility business models possess very different attributes. •The former is based on intangible, the latter on tangible assets. •The transformation into a service-provider is related with great challenges. •Asset transformation is proposed as a barrier for business model innovation.

Network Bandwidth Utilization Forecast Model on High Bandwidth Network

Energy Technology Data Exchange (ETDEWEB)

Yoo, Wucherl; Sim, Alex

2014-07-07

With the increasing number of geographically distributed scientific collaborations and the scale of the data size growth, it has become more challenging for users to achieve the best possible network performance on a shared network. We have developed a forecast model to predict expected bandwidth utilization for high-bandwidth wide area network. The forecast model can improve the efficiency of resource utilization and scheduling data movements on high-bandwidth network to accommodate ever increasing data volume for large-scale scientific data applications. Univariate model is developed with STL and ARIMA on SNMP path utilization data. Compared with traditional approach such as Box-Jenkins methodology, our forecast model reduces computation time by 83.2percent. It also shows resilience against abrupt network usage change. The accuracy of the forecast model is within the standard deviation of the monitored measurements.

Network bandwidth utilization forecast model on high bandwidth networks

Energy Technology Data Exchange (ETDEWEB)

Yoo, Wuchert (William) [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Sim, Alex [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

2015-03-30

With the increasing number of geographically distributed scientific collaborations and the scale of the data size growth, it has become more challenging for users to achieve the best possible network performance on a shared network. We have developed a forecast model to predict expected bandwidth utilization for high-bandwidth wide area network. The forecast model can improve the efficiency of resource utilization and scheduling data movements on high-bandwidth network to accommodate ever increasing data volume for large-scale scientific data applications. Univariate model is developed with STL and ARIMA on SNMP path utilization data. Compared with traditional approach such as Box-Jenkins methodology, our forecast model reduces computation time by 83.2%. It also shows resilience against abrupt network usage change. The accuracy of the forecast model is within the standard deviation of the monitored measurements.

Modeling regulated water utility investment incentives

Science.gov (United States)

Padula, S.; Harou, J. J.

2014-12-01

This work attempts to model the infrastructure investment choices of privatized water utilities subject to rate of return and price cap regulation. The goal is to understand how regulation influences water companies' investment decisions such as their desire to engage in transfers with neighbouring companies. We formulate a profit maximization capacity expansion model that finds the schedule of new supply, demand management and transfer schemes that maintain the annual supply-demand balance and maximize a companies' profit under the 2010-15 price control process in England. Regulatory incentives for costs savings are also represented in the model. These include: the CIS scheme for the capital expenditure (capex) and incentive allowance schemes for the operating expenditure (opex) . The profit-maximizing investment program (what to build, when and what size) is compared with the least cost program (social optimum). We apply this formulation to several water companies in South East England to model performance and sensitivity to water network particulars. Results show that if companies' are able to outperform the regulatory assumption on the cost of capital, a capital bias can be generated, due to the fact that the capital expenditure, contrarily to opex, can be remunerated through the companies' regulatory capital value (RCV). The occurrence of the 'capital bias' or its entity depends on the extent to which a company can finance its investments at a rate below the allowed cost of capital. The bias can be reduced by the regulatory penalties for underperformances on the capital expenditure (CIS scheme); Sensitivity analysis can be applied by varying the CIS penalty to see how and to which extent this impacts the capital bias effect. We show how regulatory changes could potentially be devised to partially remove the 'capital bias' effect. Solutions potentially include allowing for incentives on total expenditure rather than separately for capex and opex and allowing

Recent advances in modeling nutrient utilization in ruminants.

Science.gov (United States)

Kebreab, E; Dijkstra, J; Bannink, A; France, J

2009-04-01

Mathematical modeling techniques have been applied to study various aspects of the ruminant, such as rumen function, postabsorptive metabolism, and product composition. This review focuses on advances made in modeling rumen fermentation and its associated rumen disorders, and energy and nutrient utilization and excretion with respect to environmental issues. Accurate prediction of fermentation stoichiometry has an impact on estimating the type of energy-yielding substrate available to the animal, and the ratio of lipogenic to glucogenic VFA is an important determinant of methanogenesis. Recent advances in modeling VFA stoichiometry offer ways for dietary manipulation to shift the fermentation in favor of glucogenic VFA. Increasing energy to the animal by supplementing with starch can lead to health problems such as subacute rumen acidosis caused by rumen pH depression. Mathematical models have been developed to describe changes in rumen pH and rumen fermentation. Models that relate rumen temperature to rumen pH have also been developed and have the potential to aid in the diagnosis of subacute rumen acidosis. The effect of pH has been studied mechanistically, and in such models, fractional passage rate has a large impact on substrate degradation and microbial efficiency in the rumen and should be an important theme in future studies. The efficiency with which energy is utilized by ruminants has been updated in recent studies. Mechanistic models of N utilization indicate that reducing dietary protein concentration, matching protein degradability to the microbial requirement, and increasing the energy status of the animal will reduce the output of N as waste. Recent mechanistic P models calculate the P requirement by taking into account P recycled through saliva and endogenous losses. Mechanistic P models suggest reducing current P amounts for lactating dairy cattle to at least 0.35% P in the diet, with a potential reduction of up to 1.3 kt/yr. A model that

Utility of Social Modeling for Proliferation Assessment - Preliminary Assessment

Energy Technology Data Exchange (ETDEWEB)

Coles, Garill A.; Gastelum, Zoe N.; Brothers, Alan J.; Thompson, Sandra E.

2009-06-01

This Preliminary Assessment draft report will present the results of a literature search and preliminary assessment of the body of research, analysis methods, models and data deemed to be relevant to the Utility of Social Modeling for Proliferation Assessment research. This report will provide: 1) a description of the problem space and the kinds of information pertinent to the problem space, 2) a discussion of key relevant or representative literature, 3) a discussion of models and modeling approaches judged to be potentially useful to the research, and 4) the next steps of this research that will be pursued based on this preliminary assessment. This draft report represents a technical deliverable for the NA-22 Simulations, Algorithms, and Modeling (SAM) program. Specifically this draft report is the Task 1 deliverable for project PL09-UtilSocial-PD06, Utility of Social Modeling for Proliferation Assessment. This project investigates non-traditional use of social and cultural information to improve nuclear proliferation assessment, including nonproliferation assessment, proliferation resistance assessments, safeguards assessments and other related studies. These assessments often use and create technical information about the State’s posture towards proliferation, the vulnerability of a nuclear energy system to an undesired event, and the effectiveness of safeguards. This project will find and fuse social and technical information by explicitly considering the role of cultural, social and behavioral factors relevant to proliferation. The aim of this research is to describe and demonstrate if and how social science modeling has utility in proliferation assessment.

Influences of variables on ship collision probability in a Bayesian belief network model

International Nuclear Information System (INIS)

Hänninen, Maria; Kujala, Pentti

2012-01-01

The influences of the variables in a Bayesian belief network model for estimating the role of human factors on ship collision probability in the Gulf of Finland are studied for discovering the variables with the largest influences and for examining the validity of the network. The change in the so-called causation probability is examined while observing each state of the network variables and by utilizing sensitivity and mutual information analyses. Changing course in an encounter situation is the most influential variable in the model, followed by variables such as the Officer of the Watch's action, situation assessment, danger detection, personal condition and incapacitation. The least influential variables are the other distractions on bridge, the bridge view, maintenance routines and the officer's fatigue. In general, the methods are found to agree on the order of the model variables although some disagreements arise due to slightly dissimilar approaches to the concept of variable influence. The relative values and the ranking of variables based on the values are discovered to be more valuable than the actual numerical values themselves. Although the most influential variables seem to be plausible, there are some discrepancies between the indicated influences in the model and literature. Thus, improvements are suggested to the network.

Stock Selection for Portfolios Using Expected Utility-Entropy Decision Model

Directory of Open Access Journals (Sweden)

Jiping Yang

2017-09-01

Full Text Available Yang and Qiu proposed and then recently improved an expected utility-entropy (EU-E measure of risk and decision model. When segregation holds, Luce et al. derived an expected utility term, plus a constant multiplies the Shannon entropy as the representation of risky choices, further demonstrating the reasonability of the EU-E decision model. In this paper, we apply the EU-E decision model to selecting the set of stocks to be included in the portfolios. We first select 7 and 10 stocks from the 30 component stocks of Dow Jones Industrial Average index, and then derive and compare the efficient portfolios in the mean-variance framework. The conclusions imply that efficient portfolios composed of 7(10 stocks selected using the EU-E model with intermediate intervals of the tradeoff coefficients are more efficient than that composed of the sets of stocks selected using the expected utility model. Furthermore, the efficient portfolio of 7(10 stocks selected by the EU-E decision model have almost the same efficient frontier as that of the sample of all stocks. This suggests the necessity of incorporating both the expected utility and Shannon entropy together when taking risky decisions, further demonstrating the importance of Shannon entropy as the measure of uncertainty, as well as the applicability of the EU-E model as a decision-making model.

VALUING BENEFITS FROM WATER QUALITY IMPROVEMENTS USING KUHN TUCKER MODEL - A COMPARATIVE ANALYSIS ON UTILITY FUNCTIONAL FORMS-

Science.gov (United States)

Okuyama, Tadahiro

Kuhn-Tucker model, which has studied in recent years, is a benefit valuation technique using the revealed-preference data, and the feature is to treatvarious patterns of corner solutions flexibly. It is widely known for the benefit calculation using the revealed-preference data that a value of a benefit changes depending on a functional form. However, there are little studies which examine relationship between utility functions and values of benefits in Kuhn-Tucker model. The purpose of this study is to analysis an influence of the functional form to the value of a benefit. Six types of utility functions are employed for benefit calculations. The data of the recreational activity of 26 beaches of Miyagi Prefecture were employed. Calculation results indicated that Phaneuf and Siderelis (2003) and Whitehead et al.(2010)'s functional forms are useful for benefit calculations.

Economic analysis of open space box model utilization in spacecraft

Science.gov (United States)

Mohammad, Atif F.; Straub, Jeremy

2015-05-01

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

mathematical models for estimating radio channels utilization

African Journals Online (AJOL)

2017-08-08

Aug 8, 2017 ... Mathematical models for radio channels utilization assessment by real-time flows transfer in ... data transmission networks application having dynamic topology ..... Journal of Applied Mathematics and Statistics, 56(2): 85–90.

INFLUENCE OF UTILIZED LOAD OF DRIVE OF COMPRESSING STATION UPON PARAMETERS OF GTP

Directory of Open Access Journals (Sweden)

A. A. Abrazovski

2014-01-01

Full Text Available Today it is required to use secondary energy resources (STR, which we have in gas-transport system of the country, more efficiently. In this system (STR smoke gases of gas transforming aggregates with turbogas drive installations are presented primarily.For using STR of turbogas drives it is necessary to forecast heat exchange equipment installation, this causes the growth of aerodynamic resistance of exhaust channel. This influences on all plant’s work. It was experimentally proved that the usage of utilized equipment influences upon increasing  of power efficiency. For this reason the perturbation method was used, which allow to determine rate of influence. Convenience of this method is that the solution can be obtained in the form of evident analytical dependence and it does not depend on formulated problem, number of variable and definite relations between them.Using the perturbation method influence efficiency was obtained, which influences on exhaust channel resistance changes and as a result changes power efficiency and in the whole plant’s efficiency. Besides, in this article the dependence of influence efficiency from stating parameters of cycle was presented in graphs: temperature of burning products before turbine and air compression.

Factors Influencing Health Service Utilization Among Asian Immigrant Nail Salon Workers in the Greater New York City Area.

Science.gov (United States)

Seo, Jin Young; Chao, Ying-Yu; Yeung, Ka Man; Strauss, Shiela M

2018-06-23

Most nail salon workers in the greater New York City area are Asian immigrant women. They are exposed daily to potentially toxic chemicals and hazards in their workplace, making them more vulnerable for possible health problems. The study's primary purpose was to identify factors influencing past year healthcare utilization among Asian immigrant women working in nail salons. A cross-sectional study was conducted based on a modification of Andersen's behavioral model of healthcare utilization in which 148 Korean and Chinese immigrant women currently working in nail salons were surveyed. The questionnaire included: (1) individual health determinants, (2) health service utilization in the past year, and (3) work environment, work-related health concerns, and work-related health problems. Descriptive statistics and multivariate logistic regression models assessed factors related to past year healthcare utilization. Women who had health insurance (p < .01), a usual source of care (p < .01), low educational attainment (p < .05), and more work-related health symptoms (p < .05) were more likely to visit a primary care provider. Women who had health insurance (p < .01), a usual source of care (p < .05), and low educational attainment (p < .05), were also more likely to visit a woman's health provider. Korean (rather than Chinese) women (p < .05) and women who perceived themselves to be in fair/poor health (p < .05) were more likely to see a traditional provider of Eastern medicine. Asian immigrant women who work in nail salons have workplace health and safety concerns. They generally use Western rather than traditional medicine, with different factors related to these two types of medicine.

Insider Models with Finite Utility in Markets with Jumps

International Nuclear Information System (INIS)

Kohatsu-Higa, Arturo; Yamazato, Makoto

2011-01-01

In this article we consider, under a Lévy process model for the stock price, the utility optimization problem for an insider agent whose additional information is the final price of the stock blurred with an additional independent noise which vanishes as the final time approaches. Our main interest is establishing conditions under which the utility of the insider is finite. Mathematically, the problem entails the study of a “progressive” enlargement of filtration with respect to random measures. We study the jump structure of the process which leads to the conclusion that in most cases the utility of the insider is finite and his optimal portfolio is bounded. This can be explained financially by the high risks involved in models with jumps.

Designing management strategies for carbon dioxide storage and utilization under uncertainty using inexact modelling

Science.gov (United States)

Wang, Yu; Fan, Jie; Xu, Ye; Sun, Wei; Chen, Dong

2017-06-01

Effective application of carbon capture, utilization and storage (CCUS) systems could help to alleviate the influence of climate change by reducing carbon dioxide (CO2) emissions. The research objective of this study is to develop an equilibrium chance-constrained programming model with bi-random variables (ECCP model) for supporting the CCUS management system under random circumstances. The major advantage of the ECCP model is that it tackles random variables as bi-random variables with a normal distribution, where the mean values follow a normal distribution. This could avoid irrational assumptions and oversimplifications in the process of parameter design and enrich the theory of stochastic optimization. The ECCP model is solved by an equilibrium change-constrained programming algorithm, which provides convenience for decision makers to rank the solution set using the natural order of real numbers. The ECCP model is applied to a CCUS management problem, and the solutions could be useful in helping managers to design and generate rational CO2-allocation patterns under complexities and uncertainties.

A mangrove creek restoration plan utilizing hydraulic modeling.

Science.gov (United States)

Marois, Darryl E; Mitsch, William J

2017-11-01

Despite the valuable ecosystem services provided by mangrove ecosystems they remain threatened around the globe. Urban development has been a primary cause for mangrove destruction and deterioration in south Florida USA for the last several decades. As a result, the restoration of mangrove forests has become an important topic of research. Using field sampling and remote-sensing we assessed the past and present hydrologic conditions of a mangrove creek and its connected mangrove forest and brackish marsh systems located on the coast of Naples Bay in southwest Florida. We concluded that the hydrology of these connected systems had been significantly altered from its natural state due to urban development. We propose here a mangrove creek restoration plan that would extend the existing creek channel 1.1 km inland through the adjacent mangrove forest and up to an adjacent brackish marsh. We then tested the hydrologic implications using a hydraulic model of the mangrove creek calibrated with tidal data from Naples Bay and water levels measured within the creek. The calibrated model was then used to simulate the resulting hydrology of our proposed restoration plan. Simulation results showed that the proposed creek extension would restore a twice-daily flooding regime to a majority of the adjacent mangrove forest and that there would still be minimal tidal influence on the brackish marsh area, keeping its salinity at an acceptable level. This study demonstrates the utility of combining field data and hydraulic modeling to aid in the design of mangrove restoration plans.

Individual Differences in Subjective Utility and Risk Preferences: The Influence of Hedonic Capacity and Trait Anxiety

Science.gov (United States)

Howlett, Jonathon R.; Paulus, Martin P.

2017-01-01

Individual differences in decision-making are important in both normal populations and psychiatric conditions. Variability in decision-making could be mediated by different subjective utilities or by other processes. For example, while traditional economic accounts attribute risk aversion to a concave subjective utility curve, in practice other factors could affect risk behavior. This distinction may have important implications for understanding the biological basis of variability in decision-making and for developing interventions to improve decision-making. Another aspect of decision-making that may vary between individuals is the sensitivity of subjective utility to counterfactual outcomes (outcomes that could have occurred, but did not). We investigated decision-making in relation to hedonic capacity and trait anxiety, two traits that relate to psychiatric conditions but also vary in the general population. Subjects performed a decision-making task, in which they chose between low- and high-risk gambles to win 0, 20, or 40 points on each trial. Subjects then rated satisfaction after each outcome on a visual analog scale, indicating subjective utility. Hedonic capacity was positively associated with the subjective utility of winning 20 points but was not associated with the concavity of the subjective utility curve (constructed using the mean subjective utility of winning 0, 20, or 40 points). Consistent with economic theory, concavity of the subjective utility curve was associated with risk aversion. Hedonic capacity was independently associated with risk seeking (i.e., not mediated by the shape of the subjective utility curve), while trait anxiety was unrelated to risk preferences. Contrary to our expectations, counterfactual sensitivity was unrelated to hedonic capacity and trait anxiety. Nevertheless, trait anxiety was associated with a self-report measure of regret-proneness, suggesting that counterfactual influences may occur via a pathway that is separate

Individual Differences in Subjective Utility and Risk Preferences: The Influence of Hedonic Capacity and Trait Anxiety.

Science.gov (United States)

Howlett, Jonathon R; Paulus, Martin P

2017-01-01

Individual differences in decision-making are important in both normal populations and psychiatric conditions. Variability in decision-making could be mediated by different subjective utilities or by other processes. For example, while traditional economic accounts attribute risk aversion to a concave subjective utility curve, in practice other factors could affect risk behavior. This distinction may have important implications for understanding the biological basis of variability in decision-making and for developing interventions to improve decision-making. Another aspect of decision-making that may vary between individuals is the sensitivity of subjective utility to counterfactual outcomes (outcomes that could have occurred, but did not). We investigated decision-making in relation to hedonic capacity and trait anxiety, two traits that relate to psychiatric conditions but also vary in the general population. Subjects performed a decision-making task, in which they chose between low- and high-risk gambles to win 0, 20, or 40 points on each trial. Subjects then rated satisfaction after each outcome on a visual analog scale, indicating subjective utility. Hedonic capacity was positively associated with the subjective utility of winning 20 points but was not associated with the concavity of the subjective utility curve (constructed using the mean subjective utility of winning 0, 20, or 40 points). Consistent with economic theory, concavity of the subjective utility curve was associated with risk aversion. Hedonic capacity was independently associated with risk seeking (i.e., not mediated by the shape of the subjective utility curve), while trait anxiety was unrelated to risk preferences. Contrary to our expectations, counterfactual sensitivity was unrelated to hedonic capacity and trait anxiety. Nevertheless, trait anxiety was associated with a self-report measure of regret-proneness, suggesting that counterfactual influences may occur via a pathway that is separate

Individual Differences in Subjective Utility and Risk Preferences: The Influence of Hedonic Capacity and Trait Anxiety

Directory of Open Access Journals (Sweden)

Jonathon R. Howlett

2017-05-01

Full Text Available Individual differences in decision-making are important in both normal populations and psychiatric conditions. Variability in decision-making could be mediated by different subjective utilities or by other processes. For example, while traditional economic accounts attribute risk aversion to a concave subjective utility curve, in practice other factors could affect risk behavior. This distinction may have important implications for understanding the biological basis of variability in decision-making and for developing interventions to improve decision-making. Another aspect of decision-making that may vary between individuals is the sensitivity of subjective utility to counterfactual outcomes (outcomes that could have occurred, but did not. We investigated decision-making in relation to hedonic capacity and trait anxiety, two traits that relate to psychiatric conditions but also vary in the general population. Subjects performed a decision-making task, in which they chose between low- and high-risk gambles to win 0, 20, or 40 points on each trial. Subjects then rated satisfaction after each outcome on a visual analog scale, indicating subjective utility. Hedonic capacity was positively associated with the subjective utility of winning 20 points but was not associated with the concavity of the subjective utility curve (constructed using the mean subjective utility of winning 0, 20, or 40 points. Consistent with economic theory, concavity of the subjective utility curve was associated with risk aversion. Hedonic capacity was independently associated with risk seeking (i.e., not mediated by the shape of the subjective utility curve, while trait anxiety was unrelated to risk preferences. Contrary to our expectations, counterfactual sensitivity was unrelated to hedonic capacity and trait anxiety. Nevertheless, trait anxiety was associated with a self-report measure of regret-proneness, suggesting that counterfactual influences may occur via a pathway

A catastrophe model for the prospect-utility theory question.

Science.gov (United States)

Oliva, Terence A; McDade, Sean R

2008-07-01

Anomalies have played a big part in the analysis of decision making under risk. Both expected utility and prospect theories were born out of anomalies exhibited by actual decision making behavior. Since the same individual can use both expected utility and prospect approaches at different times, it seems there should be a means of uniting the two. This paper turns to nonlinear dynamical systems (NDS), specifically a catastrophe model, to help suggest an 'out of the box' line of solution toward integration. We use a cusp model to create a value surface whose control dimensions are involvement and gains versus losses. By including 'involvement' as a variable the importance of the individual's psychological state is included, and it provides a rationale for how decision makers' changes from expected utility to prospect might occur. Additionally, it provides a possible explanation for what appears to be even more irrational decisions that individuals make when highly emotionally involved. We estimate the catastrophe model using a sample of 997 gamblers who attended a casino and compare it to the linear model using regression. Hence, we have actual data from individuals making real bets, under real conditions.

The influence of women's empowerment on maternal health care utilization: evidence from Albania.

Science.gov (United States)

Sado, Lantona; Spaho, Alma; Hotchkiss, David R

2014-08-01

Women in Albania receive antenatal care and postnatal care at lower levels than in other countries in Europe. Moreover, there are large socio-economic and regional disparities in maternal health care use. Previous research in low- and middle-income countries has found that women's status within the household can be a powerful force for improving the health, longevity, and mental and physical capacity of mothers and the well-being of children, but there is very little research on this issue in the Balkans. The aim of this paper is to investigate the influence of women's empowerment within the household on antenatal and postnatal care utilization in Albania. The research questions are explored through the use of bivariate and multivariate analyses based on nationally representative data from the 2008-09 Albania Demographic and Health Survey. The linkages between women's empowerment and maternal health care utilization are analyzed using two types of indicators of women's empowerment: decision making power and attitudes toward domestic violence. The outcome variables are indicators of the utilization of antenatal care and postnatal care. The findings suggest that use of maternal health care services is influenced by women's roles in decision-making and the attitudes of women towards domestic violence, after controlling for a number of socio-economic and demographic factors which are organized at individual, household, and community level. The study results suggest that policy actions that increase women's empowerment at home could be effective in helping assure good maternal health. Copyright © 2014 Elsevier Ltd. All rights reserved.

Subjective Expected Utility: A Model of Decision-Making.

Science.gov (United States)

Fischoff, Baruch; And Others

1981-01-01

Outlines a model of decision making known to researchers in the field of behavioral decision theory (BDT) as subjective expected utility (SEU). The descriptive and predictive validity of the SEU model, probability and values assessment using SEU, and decision contexts are examined, and a 54-item reference list is provided. (JL)

"Utilizing" signal detection theory.

Science.gov (United States)

Lynn, Spencer K; Barrett, Lisa Feldman

2014-09-01

What do inferring what a person is thinking or feeling, judging a defendant's guilt, and navigating a dimly lit room have in common? They involve perceptual uncertainty (e.g., a scowling face might indicate anger or concentration, for which different responses are appropriate) and behavioral risk (e.g., a cost to making the wrong response). Signal detection theory describes these types of decisions. In this tutorial, we show how incorporating the economic concept of utility allows signal detection theory to serve as a model of optimal decision making, going beyond its common use as an analytic method. This utility approach to signal detection theory clarifies otherwise enigmatic influences of perceptual uncertainty on measures of decision-making performance (accuracy and optimality) and on behavior (an inverse relationship between bias magnitude and sensitivity optimizes utility). A "utilized" signal detection theory offers the possibility of expanding the phenomena that can be understood within a decision-making framework. © The Author(s) 2014.

State Policies Influence Medicare Telemedicine Utilization.

Science.gov (United States)

Neufeld, Jonathan D; Doarn, Charles R; Aly, Reem

2016-01-01

Medicare policy regarding telemedicine reimbursement has changed little since 2000. Many individual states, however, have added telemedicine reimbursement for either Medicaid and/or commercial payers over the same period. Because telemedicine programs must serve patients from all or most payers, it is likely that these state-level policy changes have significant impacts on telemedicine program viability and utilization of services from all payers, not just those services and payers affected directly by state policy. This report explores the impact of two significant state-level policy changes-one expanding Medicaid telemedicine coverage and the other introducing telemedicine parity for commercial payers-on Medicare utilization in the affected states. Medicare claims data from 2011-2013 were examined for states in the Great Lakes region. All valid claims for live interactive telemedicine professional fees were extracted and linked to their states of origin. Allowed encounters and expenditures were calculated in total and on a per 1,000 members per year basis to standardize against changes in the Medicare population by state and year. Medicare telemedicine encounters and professional fee expenditures grew sharply following changes in state Medicaid and commercial payer policy in the examined states. Medicare utilization in Illinois grew by 173% in 2012 (over 2011) following Medicaid coverage expansion, and Medicare utilization in Michigan grew by 118% in 2013 (over 2012) following adoption of telemedicine parity for commercial payers. By contrast, annual Medicare telemedicine utilization growth in surrounding states (in which there were no significant policy changes during these years) varied somewhat but showed no discernible pattern. Although Medicare telemedicine policy has changed little since its inception, changes in state policies with regard to telemedicine reimbursement appear to have significant impacts on the practical viability of telemedicine programs

Expected utility without utility

OpenAIRE

Castagnoli, E.; Licalzi, M.

1996-01-01

This paper advances an interpretation of Von Neumann–Morgenstern’s expected utility model for preferences over lotteries which does not require the notion of a cardinal utility over prizes and can be phrased entirely in the language of probability. According to it, the expected utility of a lottery can be read as the probability that this lottery outperforms another given independent lottery. The implications of this interpretation for some topics and models in decision theory are considered....

Adolescent idiopathic scoliosis screening for school, community, and clinical health promotion practice utilizing the PRECEDE-PROCEED model

Directory of Open Access Journals (Sweden)

Wyatt Lawrence A

2005-11-01

Full Text Available Abstract Background Screening for adolescent idiopathic scoliosis (AIS is a commonly performed procedure for school children during the high risk years. The PRECEDE-PROCEDE (PP model is a health promotion planning model that has not been utilized for the clinical diagnosis of AIS. The purpose of this research is to study AIS in the school age population using the PP model and its relevance for community, school, and clinical health promotion. Methods MEDLINE was utilized to locate AIS data. Studies were screened for relevance and applicability under the auspices of the PP model. Where data was unavailable, expert opinion was utilized based on consensus. Results The social assessment of quality of life is limited with few studies approaching the long-term effects of AIS. Epidemiologically, AIS is the most common form of scoliosis and leading orthopedic problem in children. Behavioral/environmental studies focus on discovering etiologic relationships yet this data is confounded because AIS is not a behavioral. Illness and parenting health behaviors can be appreciated. The educational diagnosis is confounded because AIS is an orthopedic disorder and not behavioral. The administration/policy diagnosis is hindered in that scoliosis screening programs are not considered cost-effective. Policies are determined in some schools because 26 states mandate school scoliosis screening. There exists potential error with the Adam's test. The most widely used measure in the PP model, the Health Belief Model, has not been utilized in any AIS research. Conclusion The PP model is a useful tool for a comprehensive study of a particular health concern. This research showed where gaps in AIS research exist suggesting that there may be problems to the implementation of school screening. Until research disparities are filled, implementation of AIS screening by school, community, and clinical health promotion will be compromised. Lack of data and perceived importance by

Embedding Systems Thinking into EWB Project Planning and Development: Assessing the Utility of a Group Model Building Approach

Directory of Open Access Journals (Sweden)

Kimberly Pugel

2017-11-01

Full Text Available Amongst growing sociotechnical efforts, engineering students and professionals both in the international development sector and industry are challenged to approach projects more holistically to achieve project goals.  Engineering service learning organizations must similarly adapt their technological projects to consider varying cultural and economic structures, ensuring more resilient social progress within development efforts.  In practice, systems thinking approaches can be utilized to model the social, economic, political, and technological implications that influence the sustainability of an engineering project. This research assesses the utility of integrating systems thinking into Engineers Without Borders (EWB project planning and development, thereby improving project impact and more effectively engaging members.  At a workshop held at an EWB-USA 2016 Regional Conference, the authors presented a planning and evaluation framework that applies group model building with system dynamics to foster systems thinking through factor diagramming and analysis. To assess the added value of the framework for EWB project planning and development, extensive participant feedback was gathered and evaluated during the workshop and through an optional post-workshop survey.  Supported by thoughtful observations and feedback provided by the EWB members, the model building workshop appeared to help participants reveal and consider project complexities by both visually and quantitatively identifying key non-technical and technical factors that influence project sustainability.  Therefore, system dynamics applied in a group model building workshop offers a powerful supplement to traditional EWB project planning and assessment activities, providing a systems-based tool for EWB teams and partner communities to build capacity and create lasting change.

Multi-currency Influence Diagrams

DEFF Research Database (Denmark)

Nielsen, Søren Holbech; Nielsen, Thomas Dyhre; Jensen, Finn V.

2007-01-01

When using the influence diagrams framework for solving a decision problem with several different quantitative utilities, the traditional approach has been to convert the utilities into one common currency. This conversion is carried out using a tacit transformation, under the assumption...... that the converted problem is equivalent to the original one. In this paper we present an extension of the influence diagram framework. The extension allows for these decision problems to be modelled in their original form. We present an algorithm that, given a linear conversion function between the currencies...

User Guide and Documentation for Five MODFLOW Ground-Water Modeling Utility Programs

Science.gov (United States)

Banta, Edward R.; Paschke, Suzanne S.; Litke, David W.

2008-01-01

This report documents five utility programs designed for use in conjunction with ground-water flow models developed with the U.S. Geological Survey's MODFLOW ground-water modeling program. One program extracts calculated flow values from one model for use as input to another model. The other four programs extract model input or output arrays from one model and make them available in a form that can be used to generate an ArcGIS raster data set. The resulting raster data sets may be useful for visual display of the data or for further geographic data processing. The utility program GRID2GRIDFLOW reads a MODFLOW binary output file of cell-by-cell flow terms for one (source) model grid and converts the flow values to input flow values for a different (target) model grid. The spatial and temporal discretization of the two models may differ. The four other utilities extract selected 2-dimensional data arrays in MODFLOW input and output files and write them to text files that can be imported into an ArcGIS geographic information system raster format. These four utilities require that the model cells be square and aligned with the projected coordinate system in which the model grid is defined. The four raster-conversion utilities are * CBC2RASTER, which extracts selected stress-package flow data from a MODFLOW binary output file of cell-by-cell flows; * DIS2RASTER, which extracts cell-elevation data from a MODFLOW Discretization file; * MFBIN2RASTER, which extracts array data from a MODFLOW binary output file of head or drawdown; and * MULT2RASTER, which extracts array data from a MODFLOW Multiplier file.

A Framework for Organizing Current and Future Electric Utility Regulatory and Business Models

Energy Technology Data Exchange (ETDEWEB)

Satchwell, Andrew [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Cappers, Peter [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Schwartz, Lisa C. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Fadrhonc, Emily Martin [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

2015-06-01

Many regulators, utilities, customer groups, and other stakeholders are reevaluating existing regulatory models and the roles and financial implications for electric utilities in the context of today’s environment of increasing distributed energy resource (DER) penetrations, forecasts of significant T&D investment, and relatively flat or negative utility sales growth. When this is coupled with predictions about fewer grid-connected customers (i.e., customer defection), there is growing concern about the potential for serious negative impacts on the regulated utility business model. Among states engaged in these issues, the range of topics under consideration is broad. Most of these states are considering whether approaches that have been applied historically to mitigate the impacts of previous “disruptions” to the regulated utility business model (e.g., energy efficiency) as well as to align utility financial interests with increased adoption of such “disruptive technologies” (e.g., shareholder incentive mechanisms, lost revenue mechanisms) are appropriate and effective in the present context. A handful of states are presently considering more fundamental changes to regulatory models and the role of regulated utilities in the ownership, management, and operation of electric delivery systems (e.g., New York “Reforming the Energy Vision” proceeding).

Sustainable geothermal utilization - Case histories; definitions; research issues and modelling

International Nuclear Information System (INIS)

Axelsson, Gudni

2010-01-01

Sustainable development by definition meets the needs of the present without compromising the ability of future generations to meet their own needs. The Earth's enormous geothermal resources have the potential to contribute significantly to sustainable energy use worldwide as well as to help mitigate climate change. Experience from the use of numerous geothermal systems worldwide lasting several decades demonstrates that by maintaining production below a certain limit the systems reach a balance between net energy discharge and recharge that may be maintained for a long time (100-300 years). Modelling studies indicate that the effect of heavy utilization is often reversible on a time-scale comparable to the period of utilization. Thus, geothermal resources can be used in a sustainable manner either through (1) constant production below the sustainable limit, (2) step-wise increase in production, (3) intermittent excessive production with breaks, and (4) reduced production after a shorter period of heavy production. The long production histories that are available for low-temperature as well as high-temperature geothermal systems distributed throughout the world, provide the most valuable data available for studying sustainable management of geothermal resources, and reservoir modelling is the most powerful tool available for this purpose. The paper presents sustainability modelling studies for the Hamar and Nesjavellir geothermal systems in Iceland, the Beijing Urban system in China and the Olkaria system in Kenya as examples. Several relevant research issues have also been identified, such as the relevance of system boundary conditions during long-term utilization, how far reaching interference from utilization is, how effectively geothermal systems recover after heavy utilization and the reliability of long-term (more than 100 years) model predictions. (author)

Target-oriented utility theory for modeling the deterrent effects of counterterrorism

International Nuclear Information System (INIS)

Bier, Vicki M.; Kosanoglu, Fuat

2015-01-01

Optimal resource allocation in security has been a significant challenge for critical infrastructure protection. Numerous studies use game theory as the method of choice, because of the fact that an attacker can often observe the defender’s investment in security and adapt his choice of strategies accordingly. However, most of these models do not explicitly consider deterrence, with the result that they may lead to wasted resources if less investment would be sufficient to deter an attack. In this paper, we assume that the defender is uncertain about the level of defensive investment that would deter an attack, and use the target-oriented utility to optimize the level of defensive investment, taking into account the probability of deterrence. - Highlights: • We propose a target-oriented utility model for attacker deterrence. • We model attack deterrence as a function of attacker success probability. • We compare target-oriented utility model and conventional game-theoretical model. • Results show that our model results better value of the defender’s objective function. • Results support that defending series systems is more difficult than parallel systems

The transparency, reliability and utility of tropical rainforest land-use and land-cover change models.

Science.gov (United States)

Rosa, Isabel M D; Ahmed, Sadia E; Ewers, Robert M

2014-06-01

Land-use and land-cover (LULC) change is one of the largest drivers of biodiversity loss and carbon emissions globally. We use the tropical rainforests of the Amazon, the Congo basin and South-East Asia as a case study to investigate spatial predictive models of LULC change. Current predictions differ in their modelling approaches, are highly variable and often poorly validated. We carried out a quantitative review of 48 modelling methodologies, considering model spatio-temporal scales, inputs, calibration and validation methods. In addition, we requested model outputs from each of the models reviewed and carried out a quantitative assessment of model performance for tropical LULC predictions in the Brazilian Amazon. We highlight existing shortfalls in the discipline and uncover three key points that need addressing to improve the transparency, reliability and utility of tropical LULC change models: (1) a lack of openness with regard to describing and making available the model inputs and model code; (2) the difficulties of conducting appropriate model validations; and (3) the difficulty that users of tropical LULC models face in obtaining the model predictions to help inform their own analyses and policy decisions. We further draw comparisons between tropical LULC change models in the tropics and the modelling approaches and paradigms in other disciplines, and suggest that recent changes in the climate change and species distribution modelling communities may provide a pathway that tropical LULC change modellers may emulate to further improve the discipline. Climate change models have exerted considerable influence over public perceptions of climate change and now impact policy decisions at all political levels. We suggest that tropical LULC change models have an equally high potential to influence public opinion and impact the development of land-use policies based on plausible future scenarios, but, to do that reliably may require further improvements in the

Modeling and numerical simulations of the influenced Sznajd model

Science.gov (United States)

Karan, Farshad Salimi Naneh; Srinivasan, Aravinda Ramakrishnan; Chakraborty, Subhadeep

2017-08-01

This paper investigates the effects of independent nonconformists or influencers on the behavioral dynamic of a population of agents interacting with each other based on the Sznajd model. The system is modeled on a complete graph using the master equation. The acquired equation has been numerically solved. Accuracy of the mathematical model and its corresponding assumptions have been validated by numerical simulations. Regions of initial magnetization have been found from where the system converges to one of two unique steady-state PDFs, depending on the distribution of influencers. The scaling property and entropy of the stationary system in presence of varying level of influence have been presented and discussed.

Investment Dynamics and Capacity Utilization under Monopolistic Competition

OpenAIRE

Omar LICANDRO

1992-01-01

In the tradition of Tobin's q models, the influence on investment of demand uncertainty and capacity constraints is analyzed in a monopolistically competitive economy. Under these conditions, the degree of capacity utilization has a positive effect on the markup rate and explains the difference between average q and marginal q. In the aggregate economy, when the representative firm faces only specific demand uncertainty, it is shown that the degree of capacity utilization is strictly smaller ...

Liberalisation and green patent registrations of electric utilities in Europe

International Nuclear Information System (INIS)

Salies, Evens; Nesta, Lionel

2010-10-01

The authors report a study of the influence of reforms which introduce a liberalisation of energy markets on the innovation behaviour of electric utilities in some countries. Within a context of concentration of this sector, the hypothesis of a negative impact on patent registration by electric utilities is tested by the authors. They first define the notion of environmental innovation and its evolution in the electric energy sector as the climate and environment issues are nowadays extremely important for the energy sector. R and D here addresses micro-generation, fuel cells, tidal turbine systems, energy production by using solar energy, and biomass gasification. They discuss numbers of pattern registrations by European utilities before and after laws on energy market reform. They present an econometric model and data used to test the hypothesis and comment the obtained results. The model comprises a knowledge production function, and various explicative variables (firm size and R and D, reforms, technological opportunities, energy mix, and influence of demand)

Kinetic models of cell growth, substrate utilization and bio ...

African Journals Online (AJOL)

Bio-decolorization kinetic studies of distillery effluent in a batch culture were conducted using Aspergillus fumigatus. A simple model was proposed using the Logistic Equation for the growth, Leudeking-Piret kinetics for bio-decolorization, and also for substrate utilization. The proposed models appeared to provide a suitable ...

The influence of system interactivity and technical support on learning management system utilization

Directory of Open Access Journals (Sweden)

Sousan Baleghi-Zadeh

2017-03-01

Full Text Available In recent years, there has been a growing increase in using Learning Management System (LMS by universities. However, its utilization by students is limited in Malaysia. The main purpose of the present study is to develop and test a model that predicts LMS utilization by Malaysian higher education students. Based on the Technology Acceptance Model, the study investigated the relationships among six constructs (system interactivity, technical support, perceived ease of use, perceived usefulness, behavioral intention to use and LMS use through structural equation modelling. The participants were 216 undergraduate students from a local university in Malaysia. The result of the study revealed that system interactivity had a significant effect on perceived usefulness, but not on perceived ease of use; technical support had a significant effect on perceived ease of use, but not on perceived usefulness.

Developing a clinical utility framework to evaluate prediction models in radiogenomics

Science.gov (United States)

Wu, Yirong; Liu, Jie; Munoz del Rio, Alejandro; Page, David C.; Alagoz, Oguzhan; Peissig, Peggy; Onitilo, Adedayo A.; Burnside, Elizabeth S.

2015-03-01

Combining imaging and genetic information to predict disease presence and behavior is being codified into an emerging discipline called "radiogenomics." Optimal evaluation methodologies for radiogenomics techniques have not been established. We aim to develop a clinical decision framework based on utility analysis to assess prediction models for breast cancer. Our data comes from a retrospective case-control study, collecting Gail model risk factors, genetic variants (single nucleotide polymorphisms-SNPs), and mammographic features in Breast Imaging Reporting and Data System (BI-RADS) lexicon. We first constructed three logistic regression models built on different sets of predictive features: (1) Gail, (2) Gail+SNP, and (3) Gail+SNP+BI-RADS. Then, we generated ROC curves for three models. After we assigned utility values for each category of findings (true negative, false positive, false negative and true positive), we pursued optimal operating points on ROC curves to achieve maximum expected utility (MEU) of breast cancer diagnosis. We used McNemar's test to compare the predictive performance of the three models. We found that SNPs and BI-RADS features augmented the baseline Gail model in terms of the area under ROC curve (AUC) and MEU. SNPs improved sensitivity of the Gail model (0.276 vs. 0.147) and reduced specificity (0.855 vs. 0.912). When additional mammographic features were added, sensitivity increased to 0.457 and specificity to 0.872. SNPs and mammographic features played a significant role in breast cancer risk estimation (p-value < 0.001). Our decision framework comprising utility analysis and McNemar's test provides a novel framework to evaluate prediction models in the realm of radiogenomics.

[Home health resource utilization measures using a case-mix adjustor model].

Science.gov (United States)

You, Sun-Ju; Chang, Hyun-Sook

2005-08-01

The purpose of this study was to measure home health resource utilization using a Case-Mix Adjustor Model developed in the U.S. The subjects of this study were 484 patients who had received home health care more than 4 visits during a 60-day episode at 31 home health care institutions. Data on the 484 patients had to be merged onto a 60-day payment segment. Based on the results, the researcher classified home health resource groups (HHRG). The subjects were classified into 34 HHRGs in Korea. Home health resource utilization according to clinical severity was in order of Minimum (C0) service utilization moderate), and the lowest 97,000 won in group C2F3S1, so the former was 5.82 times higher than the latter. Resource utilization in home health care has become an issue of concern due to rising costs for home health care. The results suggest the need for more analytical attention on the utilization and expenditures for home care using a Case-Mix Adjustor Model.

Simulating the influence of plasma protein on measured receptor affinity in biochemical assays reveals the utility of Schild analysis for estimating compound affinity for plasma proteins.

Science.gov (United States)

Blakeley, D; Sykes, D A; Ensor, P; Bertran, E; Aston, P J; Charlton, S J

2015-11-01

Plasma protein binding (PPB) influences the free fraction of drug available to bind to its target and is therefore an important consideration in drug discovery. While traditional methods for assessing PPB (e.g. rapid equilibrium dialysis) are suitable for comparing compounds with relatively weak PPB, they are not able to accurately discriminate between highly bound compounds (typically >99.5%). The aim of the present work was to use mathematical modelling to explore the potential utility of receptor binding and cellular functional assays to estimate the affinity of compounds for plasma proteins. Plasma proteins are routinely added to in vitro assays, so a secondary goal was to investigate the effect of plasma proteins on observed ligand-receptor interactions. Using the principle of conservation of mass and the law of mass action, a cubic equation was derived describing the ligand-receptor complex [LR] in the presence of plasma protein at equilibrium. The model demonstrates the profound influence of PPB on in vitro assays and identifies the utility of Schild analysis, which is usually applied to determine receptor-antagonist affinities, for calculating affinity at plasma proteins (termed KP ). We have also extended this analysis to functional effects using operational modelling and demonstrate that these approaches can also be applied to cell-based assay systems. These mathematical models can potentially be used in conjunction with experimental data to estimate drug-plasma protein affinities in the earliest phases of drug discovery programmes. © 2015 The British Pharmacological Society.

Risk Decision Making Model for Reservoir Floodwater resources Utilization

Science.gov (United States)

Huang, X.

2017-12-01

Floodwater resources utilization(FRU) can alleviate the shortage of water resources, but there are risks. In order to safely and efficiently utilize the floodwater resources, it is necessary to study the risk of reservoir FRU. In this paper, the risk rate of exceeding the design flood water level and the risk rate of exceeding safety discharge are estimated. Based on the principle of the minimum risk and the maximum benefit of FRU, a multi-objective risk decision making model for FRU is constructed. Probability theory and mathematical statistics method is selected to calculate the risk rate; C-D production function method and emergy analysis method is selected to calculate the risk benefit; the risk loss is related to flood inundation area and unit area loss; the multi-objective decision making problem of the model is solved by the constraint method. Taking the Shilianghe reservoir in Jiangsu Province as an example, the optimal equilibrium solution of FRU of the Shilianghe reservoir is found by using the risk decision making model, and the validity and applicability of the model are verified.

An approach for evaluating utility-financed energy conservation programs. The economic welfare model

Energy Technology Data Exchange (ETDEWEB)

Costello, K W; Galen, P S

1985-09-01

The main objective of this paper is to illustrate how the economic welfare model may be used to measure the economic efficiency effects of utility-financed energy conservation programs. The economic welfare model is the theoretical structure that was used in this paper to develop a cost/benefit test. This test defines the net benefit of a conservation program as the change in the sum of consumer and producer surplus. The authors advocate the operation of the proposed cost/benefit model as a screening tool to eliminate from more detailed review those programs where the expected net benefits are less than zero. The paper presents estimates of the net benefit derived from different specified cost/benefit models for four illustrative pilot programs. These models are representative of those which have been applied or are under review by utilities and public utility commissions. From the numerical results, it is shown that net benefit is greatly affected by the assumptions made about the nature of welfare gains to program participants. The main conclusion that emerges from the numerical results is that the selection of a cost/benefit model is a crucial element in evaluating utility-financed energy conservation programs. The paper also briefly addresses some of the major unresolved issues in utility-financed energy conservation programs. 2 figs., 3 tabs., 10 refs. (A.V.)

DIAMOND: A model of incremental decision making for resource acquisition by electric utilities

Energy Technology Data Exchange (ETDEWEB)

Gettings, M.; Hirst, E.; Yourstone, E.

1991-02-01

Uncertainty is a major issue facing electric utilities in planning and decision making. Substantial uncertainties exist concerning future load growth; the lifetimes and performances of existing power plants; the construction times, costs, and performances of new resources being brought online; and the regulatory and economic environment in which utilities operate. This report describes a utility planning model that focuses on frequent and incremental decisions. The key features of this model are its explicit treatment of uncertainty, frequent user interaction with the model, and the ability to change prior decisions. The primary strength of this model is its representation of the planning and decision-making environment that utility planners and executives face. Users interact with the model after every year or two of simulation, which provides an opportunity to modify past decisions as well as to make new decisions. For example, construction of a power plant can be started one year, and if circumstances change, the plant can be accelerated, mothballed, canceled, or continued as originally planned. Similarly, the marketing and financial incentives for demand-side management programs can be changed from year to year, reflecting the short lead time and small unit size of these resources. This frequent user interaction with the model, an operational game, should build greater understanding and insights among utility planners about the risks associated with different types of resources. The model is called DIAMOND, Decision Impact Assessment Model. In consists of four submodels: FUTURES, FORECAST, SIMULATION, and DECISION. It runs on any IBM-compatible PC and requires no special software or hardware. 19 refs., 13 figs., 15 tabs.

What’s Needed from Climate Modeling to Advance Actionable Science for Water Utilities?

Science.gov (United States)

Barsugli, J. J.; Anderson, C. J.; Smith, J. B.; Vogel, J. M.

2009-12-01

“…perfect information on climate change is neither available today nor likely to be available in the future, but … over time, as the threats climate change poses to our systems grow more real, predicting those effects with greater certainty is non-discretionary. We’re not yet at a level at which climate change projections can drive climate change adaptation.” (Testimony of WUCA Staff Chair David Behar to the House Committee on Science and Technology, May 5, 2009) To respond to this challenge, the Water Utility Climate Alliance (WUCA) has sponsored a white paper titled “Options for Improving Climate Modeling to Assist Water Utility Planning for Climate Change. ” This report concerns how investments in the science of climate change, and in particular climate modeling and downscaling, can best be directed to help make climate projections more actionable. The meaning of “model improvement” can be very different depending on whether one is talking to a climate model developer or to a water manager trying to incorporate climate projections in to planning. We first surveyed the WUCA members on present and potential uses of climate model projections and on climate inputs to their various system models. Based on those surveys and on subsequent discussions, we identified four dimensions along which improvement in modeling would make the science more “actionable”: improved model agreement on change in key parameters; narrowing the range of model projections; providing projections at spatial and temporal scales that match water utilities system models; providing projections that water utility planning horizons. With these goals in mind we developed four options for improving global-scale climate modeling and three options for improving downscaling that will be discussed. However, there does not seem to be a single investment - the proverbial “magic bullet” -- which will substantially reduce the range of model projections at the scales at which utility

Individual and structural environmental influences on utilization of iron and folic acid supplementation among pregnant women in Harare, Zimbabwe.

Science.gov (United States)

Tinago, Chiwoneso B; Annang Ingram, Lucy; Blake, Christine E; Frongillo, Edward A

2017-07-01

Micronutrient deficiencies are prevalent among Zimbabweans with serious health and social implications. Due to a lack of a national micronutrient food fortification policy, the Zimbabwe Ministry of Health and Child Care established a policy for the prevention of maternal micronutrient deficiencies, which centres on pregnant women receiving daily iron and folic acid (IFA) at their first antenatal care visit and throughout pregnancy. Despite these efforts, utilization of IFA supplementation in pregnancy in Zimbabwe is low. This study aimed to understand the experiences and knowledge of IFA supplementation among pregnant women and healthcare workers in Harare, Zimbabwe, and the influence of health-service and social environments on utilization. Semi-structured in-depth interviews were conducted in Shona and English, with pregnant women (n = 24) and healthcare workers (n = 14) providing direct antenatal care services to pregnant women in two high-density community clinics. Data were analysed thematically using NVivo 10. Influences on utilization were at the individual and structural environmental levels. Reasons for low utilization of IFA supplementation included forgetting to take IFA, side effects, misconceptions about IFA, limited access to nutrition information, delayed entry or non-uptake of antenatal care and social norms of pregnant women for IFA supplementation. Utilization was enhanced by knowledge of risks and benefits of supplementation, fear of negative health complications with non-utilization, family support and healthcare worker recommendation for supplementation. Study findings can inform approaches to strengthen micronutrient supplementation utilization to improve the micronutrient status of pregnant women to decrease maternal mortality and improve overall maternal and child health in Zimbabwe. © 2016 John Wiley & Sons Ltd. © 2016 John Wiley & Sons Ltd.

Examining the utility of satellite-based wind sheltering estimates for lake hydrodynamic modeling

Science.gov (United States)

Van Den Hoek, Jamon; Read, Jordan S.; Winslow, Luke A.; Montesano, Paul; Markfort, Corey D.

2015-01-01

Satellite-based measurements of vegetation canopy structure have been in common use for the last decade but have never been used to estimate canopy's impact on wind sheltering of individual lakes. Wind sheltering is caused by slower winds in the wake of topography and shoreline obstacles (e.g. forest canopy) and influences heat loss and the flux of wind-driven mixing energy into lakes, which control lake temperatures and indirectly structure lake ecosystem processes, including carbon cycling and thermal habitat partitioning. Lakeshore wind sheltering has often been parameterized by lake surface area but such empirical relationships are only based on forested lakeshores and overlook the contributions of local land cover and terrain to wind sheltering. This study is the first to examine the utility of satellite imagery-derived broad-scale estimates of wind sheltering across a diversity of land covers. Using 30 m spatial resolution ASTER GDEM2 elevation data, the mean sheltering height, hs, being the combination of local topographic rise and canopy height above the lake surface, is calculated within 100 m-wide buffers surrounding 76,000 lakes in the U.S. state of Wisconsin. Uncertainty of GDEM2-derived hs was compared to SRTM-, high-resolution G-LiHT lidar-, and ICESat-derived estimates of hs, respective influences of land cover type and buffer width on hsare examined; and the effect of including satellite-based hs on the accuracy of a statewide lake hydrodynamic model was discussed. Though GDEM2 hs uncertainty was comparable to or better than other satellite-based measures of hs, its higher spatial resolution and broader spatial coverage allowed more lakes to be included in modeling efforts. GDEM2 was shown to offer superior utility for estimating hs compared to other satellite-derived data, but was limited by its consistent underestimation of hs, inability to detect within-buffer hs variability, and differing accuracy across land cover types. Nonetheless

The changing utility workforce and the emergence of building information modeling in utilities

Energy Technology Data Exchange (ETDEWEB)

Saunders, A. [Autodesk Inc., San Rafael, CA (United States)

2010-07-01

Utilities are faced with the extensive replacement of a workforce that is now reaching retirement age. New personnel will have varying skill levels and different expectations in relation to design tools. This paper discussed methods of facilitating knowledge transfer from the retiring workforce to new staff using rules-based design software. It was argued that while nothing can replace the experiential knowledge of long-term engineers, software with built-in validations can accelerate training and building information modelling (BIM) processes. Younger personnel will expect a user interface paradigm that is based on their past gaming and work experiences. Visualization, simulation, and modelling approaches were reviewed. 3 refs.

The influence of model parameters on catchment-response

International Nuclear Information System (INIS)

Shah, S.M.S.; Gabriel, H.F.; Khan, A.A.

2002-01-01

This paper deals with the study of influence of influence of conceptual rainfall-runoff model parameters on catchment response (runoff). A conceptual modified watershed yield model is employed to study the effects of model-parameters on catchment-response, i.e. runoff. The model is calibrated, using manual parameter-fitting approach, also known as trial and error parameter-fitting. In all, there are twenty one (21) parameters that control the functioning of the model. A lumped parametric approach is used. The detailed analysis was performed on Ling River near Kahuta, having catchment area of 56 sq. miles. The model includes physical parameters like GWSM, PETS, PGWRO, etc. fitting coefficients like CINF, CGWS, etc. and initial estimates of the surface-water and groundwater storages i.e. srosp and gwsp. Sensitivity analysis offers a good way, without repetititious computations, the proper weight and consideration that must be taken when each of the influencing factor is evaluated. Sensitivity-analysis was performed to evaluate the influence of model-parameters on runoff. The sensitivity and relative contributions of model parameters influencing catchment-response are studied. (author)

Explaining regional variations in health care utilization between Swiss cantons using panel econometric models.

Science.gov (United States)

Camenzind, Paul A

2012-03-13

In spite of a detailed and nation-wide legislation frame, there exist large cantonal disparities in consumed quantities of health care services in Switzerland. In this study, the most important factors of influence causing these regional disparities are determined. The findings can also be productive for discussing the containment of health care consumption in other countries. Based on the literature, relevant factors that cause geographic disparities of quantities and costs in western health care systems are identified. Using a selected set of these factors, individual panel econometric models are calculated to explain the variation of the utilization in each of the six largest health care service groups (general practitioners, specialist doctors, hospital inpatient, hospital outpatient, medication, and nursing homes) in Swiss mandatory health insurance (MHI). The main data source is 'Datenpool santésuisse', a database of Swiss health insurers. For all six health care service groups, significant factors influencing the utilization frequency over time and across cantons are found. A greater supply of service providers tends to have strong interrelations with per capita consumption of MHI services. On the demand side, older populations and higher population densities represent the clearest driving factors. Strategies to contain consumption and costs in health care should include several elements. In the federalist Swiss system, the structure of regional health care supply seems to generate significant effects. However, the extent of driving factors on the demand side (e.g., social deprivation) or financing instruments (e.g., high deductibles) should also be considered.

Direct estimates of unemployment rate and capacity utilization in macroeconometric models

Energy Technology Data Exchange (ETDEWEB)

Klein, L R [Univ. of Pennsylvania, Philadelphia; Su, V

1979-10-01

The problem of measuring resource-capacity utilization as a factor in overall economic efficiency is examined, and a tentative solution is offered. A macro-econometric model is applied to the aggregate production function by linking unemployment rate and capacity utilization rate. Partial- and full-model simulations use Wharton indices as a filter and produce direct estimates of unemployment rates. The simulation paths of durable-goods industries, which are more capital-intensive, are found to be more sensitive to business cycles than the nondurable-goods industries. 11 references.

Cognitive and Social Factors Influencing Students׳ Response and Utilization of Facilitator Feedback in a Problem Based Learning Context

Directory of Open Access Journals (Sweden)

Aloysius Gonzaga Mubuuke

2017-12-01

Conclusion: Both cognitive and socio-contextual factors have the potential in influencing ways in which students receive and utilize facilitator feedback in PBL tutorials. Therefore, tutorial facilitators need to be cognizant of these factors when framing their feedback messages.

Review of utility values for economic modeling in type 2 diabetes.

Science.gov (United States)

Beaudet, Amélie; Clegg, John; Thuresson, Per-Olof; Lloyd, Adam; McEwan, Phil

2014-06-01

Economic analysis in type 2 diabetes mellitus (T2DM) requires an assessment of the effect of a wide range of complications. The objective of this article was to identify a set of utility values consistent with the National Institute for Health and Care Excellence (NICE) reference case and to critically discuss and illustrate challenges in creating such a utility set. A systematic literature review was conducted to identify studies reporting utility values for relevant complications. The methodology of each study was assessed for consistency with the NICE reference case. A suggested set of utility values applicable to modeling was derived, giving preference to studies reporting multiple complications and correcting for comorbidity. The review considered 21 relevant diabetes complications. A total of 16,574 articles were identified; after screening, 61 articles were assessed for methodological quality. Nineteen articles met NICE criteria, reporting utility values for 20 of 21 relevant complications. For renal transplant, because no articles meeting NICE criteria were identified, two articles using other methodologies were included. Index value estimates for T2DM without complication ranged from 0.711 to 0.940. Utility decrement associated with complications ranged from 0.014 (minor hypoglycemia) to 0.28 (amputation). Limitations associated with the selection of a utility value for use in economic modeling included variability in patient recruitment, heterogeneity in statistical analysis, large variability around some point estimates, and lack of recent data. A reference set of utility values for T2DM and its complications in line with NICE requirements was identified. This research illustrates the challenges associated with systematically selecting utility data for economic evaluations. Copyright © 2014 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.

Clinical Utility of the DSM-5 Alternative Model of Personality Disorders

DEFF Research Database (Denmark)

Bach, Bo; Markon, Kristian; Simonsen, Erik

2015-01-01

In Section III, Emerging Measures and Models, DSM-5 presents an Alternative Model of Personality Disorders, which is an empirically based model of personality pathology measured with the Level of Personality Functioning Scale (LPFS) and the Personality Inventory for DSM-5 (PID-5). These novel...... instruments assess level of personality impairment and pathological traits. Objective. A number of studies have supported the psychometric qualities of the LPFS and the PID-5, but the utility of these instruments in clinical assessment and treatment has not been extensively evaluated. The goal of this study...... was to evaluate the clinical utility of this alternative model of personality disorders. Method. We administered the LPFS and the PID-5 to psychiatric outpatients diagnosed with personality disorders and other nonpsychotic disorders. The personality profiles of six characteristic patients were inspected...

Risk management for drinking water safety in low and middle income countries - cultural influences on water safety plan (WSP) implementation in urban water utilities.

Science.gov (United States)

Omar, Yahya Y; Parker, Alison; Smith, Jennifer A; Pollard, Simon J T

2017-01-15

We investigated cultural influences on the implementation of water safety plans (WSPs) using case studies from WSP pilots in India, Uganda and Jamaica. A comprehensive thematic analysis of semi-structured interviews (n=150 utility customers, n=32 WSP 'implementers' and n=9 WSP 'promoters'), field observations and related documents revealed 12 cultural themes, offered as 'enabling', 'limiting', or 'neutral', that influence WSP implementation in urban water utilities to varying extents. Aspects such as a 'deliver first, safety later' mind set; supply system knowledge management and storage practices; and non-compliance are deemed influential. Emergent themes of cultural influence (ET1 to ET12) are discussed by reference to the risk management, development studies and institutional culture literatures; by reference to their positive, negative or neutral influence on WSP implementation. The results have implications for the utility endorsement of WSPs, for the impact of organisational cultures on WSP implementation; for the scale-up of pilot studies; and they support repeated calls from practitioner communities for cultural attentiveness during WSP design. Findings on organisational cultures mirror those from utilities in higher income nations implementing WSPs - leadership, advocacy among promoters and customers (not just implementers) and purposeful knowledge management are critical to WSP success. Copyright © 2016 The Authors. Published by Elsevier B.V. All rights reserved.

Dimensions of women's empowerment and their influence on the utilization of maternal health services in an Egyptian village: a multivariate analysis.

Science.gov (United States)

Kawaguchi, Leo; Fouad, Nawal Abdel Moneim; Chiang, Chifa; Elshair, Inass Helmy Hassan; Abdou, Nagah Mahmoud; El Banna, Saneya Rizk; Aoyama, Atsuko

2014-02-01

This study investigated the association between women's empowerment and the utilization of maternal health services by women in Egypt and analyzed the dimensions of women's empowerment that are associated with increased health service utilization. A cross-sectional survey was conducted in a village in Egypt in November 2007. A total of 189 women, who had ever been married and had at least one child, were interviewed to collect data on the utilization of maternal health services, such as the number of antenatal care (ANC) visits during their pregnancies and whether delivery of their child was attended by skilled health personnel. Proxy variables on five different dimensions of women's empowerment were obtained by principal component analysis, and were tested for an association with the utilization of maternal health services, using logistic regression models. The five dimensions extracted from the data were freedom of movement, economic security and stability, support by family and freedom from domination, decision-making in daily life, and relationship with the community/participation in society. Among these dimensions, support by family and freedom from domination was the only factor that was positively associated with maternal health service utilization (regular ANC: OR = 1.38, P = 0.05; deliveries assisted by skilled health personnel: OR = 1.71, P = 0.01). Current age was also associated with the latter, possibly influenced by the recent rapid increase in the provision of health services in the village studied. Furthermore, this study revealed that a relatively high proportion of younger women still only limited access to maternal health services in Egypt.

Modeling the Dynamic Interrelations between Mobility, Utility, and Land Asking Price

Science.gov (United States)

Hidayat, E.; Rudiarto, I.; Siegert, F.; Vries, W. D.

2018-02-01

Limited and insufficient information about the dynamic interrelation among mobility, utility, and land price is the main reason to conduct this research. Several studies, with several approaches, and several variables have been conducted so far in order to model the land price. However, most of these models appear to generate primarily static land prices. Thus, a research is required to compare, design, and validate different models which calculate and/or compare the inter-relational changes of mobility, utility, and land price. The applied method is a combination of analysis of literature review, expert interview, and statistical analysis. The result is newly improved mathematical model which have been validated and is suitable for the case study location. This improved model consists of 12 appropriate variables. This model can be implemented in the Salatiga city as the case study location in order to arrange better land use planning to mitigate the uncontrolled urban growth.

Model franchise agreements with public utilities. Musterkonzessionsvertraege mit Energieversorgungsunternehmen

Energy Technology Data Exchange (ETDEWEB)

Menking, C. (Niedersaechsischer Staedte- und Gemeindebund, Hannover (Germany, F.R.))

1989-01-01

In 1987, the Committee of Town and Community Administrations of Lower Saxonia established the task force 'Franchise Agreements'. This is a forum where town and community officials interested in energy issues cooperate. The idea was to improve conditions and participation possibilities for local administrations in contracts with their present utilities, and to draw up, and coordinate with the utilities, a franchise agreement creating possibilities for the communities, inter alia, in the sectors power supply concept, advising on energy conservation, energy generation. A model of a franchise agreement for the electricity sector is presented in its full wording. (orig./HSCH).

Electric utility companies and geothermal power

Science.gov (United States)

Pivirotto, D. S.

1976-01-01

The requirements of the electric utility industry as the primary potential market for geothermal energy are analyzed, based on a series of structured interviews with utility companies and financial institution executives. The interviews were designed to determine what information and technologies would be required before utilities would make investment decisions in favor of geothermal energy, the time frame in which the information and technologies would have to be available, and the influence of the governmental politics. The paper describes the geothermal resources, electric utility industry, its structure, the forces influencing utility companies, and their relationship to geothermal energy. A strategy for federal stimulation of utility investment in geothermal energy is suggested. Possibilities are discussed for stimulating utility investment through financial incentives, amelioration of institutional barriers, and technological improvements.

Modelling of biomass utilization for energy purpose

Energy Technology Data Exchange (ETDEWEB)

Grzybek, Anna [ed.

2010-07-01

the overall farms structure, farms land distribution on several separate subfields for one farm, villages' overpopulation and very high employment in agriculture (about 27% of all employees in national economy works in agriculture). Farmers have low education level. In towns 34% of population has secondary education and in rural areas - only 15-16%. Less than 2% inhabitants of rural areas have higher education. The structure of land use is as follows: arable land 11.5%, meadows and pastures 25.4%, forests 30.1%. Poland requires implementation of technical and technological progress for intensification of agricultural production. The reason of competition for agricultural land is maintenance of the current consumption level and allocation of part of agricultural production for energy purposes. Agricultural land is going to be key factor for biofuels production. In this publication research results for the Project PL0073 'Modelling of energetical biomass utilization for energy purposes' have been presented. The Project was financed from the Norwegian Financial Mechanism and European Economic Area Financial Mechanism. The publication is aimed at moving closer and explaining to the reader problems connected with cultivations of energy plants and dispelling myths concerning these problems. Exchange of fossil fuels by biomass for heat and electric energy production could be significant input in carbon dioxide emission reduction. Moreover, biomass crop and biomass utilization for energetical purposes play important role in agricultural production diversification in rural areas transformation. Agricultural production widening enables new jobs creation. Sustainable development is going to be fundamental rule for Polish agriculture evolution in long term perspective. Energetical biomass utilization perfectly integrates in the evolution frameworks, especially on local level. There are two facts. The fist one is that increase of interest in energy crops in Poland has been

Modelling of biomass utilization for energy purpose

Energy Technology Data Exchange (ETDEWEB)

Grzybek, Anna (ed.)

2010-07-01

the overall farms structure, farms land distribution on several separate subfields for one farm, villages' overpopulation and very high employment in agriculture (about 27% of all employees in national economy works in agriculture). Farmers have low education level. In towns 34% of population has secondary education and in rural areas - only 15-16%. Less than 2% inhabitants of rural areas have higher education. The structure of land use is as follows: arable land 11.5%, meadows and pastures 25.4%, forests 30.1%. Poland requires implementation of technical and technological progress for intensification of agricultural production. The reason of competition for agricultural land is maintenance of the current consumption level and allocation of part of agricultural production for energy purposes. Agricultural land is going to be key factor for biofuels production. In this publication research results for the Project PL0073 'Modelling of energetical biomass utilization for energy purposes' have been presented. The Project was financed from the Norwegian Financial Mechanism and European Economic Area Financial Mechanism. The publication is aimed at moving closer and explaining to the reader problems connected with cultivations of energy plants and dispelling myths concerning these problems. Exchange of fossil fuels by biomass for heat and electric energy production could be significant input in carbon dioxide emission reduction. Moreover, biomass crop and biomass utilization for energetical purposes play important role in agricultural production diversification in rural areas transformation. Agricultural production widening enables new jobs creation. Sustainable development is going to be fundamental rule for Polish agriculture evolution in long term perspective. Energetical biomass utilization perfectly integrates in the evolution frameworks, especially on local level. There are two facts. The fist one is that increase of interest in energy crops in Poland

A causal model to evaluate the influence of consumer's perceptions of online shopping on their shopping behavior

OpenAIRE

Asakawa, Masami; Okano, Masao

2009-01-01

This study examined the factors influencing consumers' perception of online shopping and developed a causal model that explains how this perception affects their online-shopping behavior. We administered a questionnaire survey to 297 college students. By utilizing the answers to 13 questions pertaining to consumer perceptions, we conducted a factor analysis that identified the following three factors: "convenience", "anxiety regarding security" and "poor navigation". On the basis of this resu...

Hedonic travel cost and random utility models of recreation

Energy Technology Data Exchange (ETDEWEB)

Pendleton, L. [Univ. of Southern California, Los Angeles, CA (United States); Mendelsohn, R.; Davis, E.W. [Yale Univ., New Haven, CT (United States). School of Forestry and Environmental Studies

1998-07-09

Micro-economic theory began as an attempt to describe, predict and value the demand and supply of consumption goods. Quality was largely ignored at first, but economists have started to address quality within the theory of demand and specifically the question of site quality, which is an important component of land management. This paper demonstrates that hedonic and random utility models emanate from the same utility theoretical foundation, although they make different estimation assumptions. Using a theoretically consistent comparison, both approaches are applied to examine the quality of wilderness areas in the Southeastern US. Data were collected on 4778 visits to 46 trails in 20 different forest areas near the Smoky Mountains. Visitor data came from permits and an independent survey. The authors limited the data set to visitors from within 300 miles of the North Carolina and Tennessee border in order to focus the analysis on single purpose trips. When consistently applied, both models lead to results with similar signs but different magnitudes. Because the two models are equally valid, recreation studies should continue to use both models to value site quality. Further, practitioners should be careful not to make simplifying a priori assumptions which limit the effectiveness of both techniques.

[Health-care utilization in elderly (Spain 2006-2012): Influence of health status and social class].

Science.gov (United States)

Aguilar-Palacio, Isabel; Carrera-Lasfuentes, Patricia; Solsona, Sofía; Sartolo, M Teresa; Rabanaque, M José

2016-04-01

to explore health-care utilization (primary and specialized health-care, hospitalizations, day hospital and emergency services) and overuse in elderly in Spain, considering the influence of health status, sex, social class and its temporal trend. cross sectional study in two phases. Spain. people surveyed in the National Health Surveys 2006 and 2011-12. Health status was measured using self-rated and diagnosed health (number and diagnoses). Social class was obtained from the last occupation of the main supporter (manual and non-manual workers). Logistic regression analyses were conducted adjusting by sex, age, health status, social class and year, obtaining its predictive capacity. the percentage of elderly population with health-care utilization decreased during the period analyzed. Women who belonged to the manual workers category presented the highest prevalence of low health (low self-rated health in 2006: 70.6%). Low health status was associated with a higher utilization of health-care services. Self-rated health was a better predictor of health-care utilization and overuse than diagnosed health, getting the highest predictive capacity for specialized health-care (C = 0.676). Old people from low social class used with higher frequency primary health-care and emergency services. On the other hand, specialized health-care and day hospital were more used by high social classes. inequalities in health and health-care utilization have been observed in elderly according social class. It is necessary to consider self-rated health as a health-care utilization predictor and to review our health-care services accessibility and equity. Copyright © 2015 Elsevier España, S.L.U. All rights reserved.

Modeling Factors with Influence on Sustainable University Management

Directory of Open Access Journals (Sweden)

Oana Dumitrascu

2015-01-01

Full Text Available The main objective of this paper is to present the factors with influence on the sustainable university management and the relationships between them. In the scientific approach we begin from a graphical model, according to which the extracurricular activities together with internal environmental factors influence students’ involvement in such activities, the university attractiveness, their academic performance and their integration into the socially-economic and natural environment (components related with sustainable development. The model emphasizes that individual performances, related to students’ participation in extracurricular activities, have a positive influence on the sustainability of university management. The results of the study have shown that the university sustainability may be influenced by a number of factors, such as students’ performance, students’ involvement in extracurricular activities or university’s attractiveness and can in turn influence implicitly also the sustainability of university management. The originality of the paper consists in the relationships study using the modeling method in general and informatics tools of modeling in particular, as well as through graphical visualization of some influences, on the sustainability university management.

Enhanced understanding of energy ratepayers: Factors influencing perceptions of government energy efficiency subsidies and utility alternative energy use

International Nuclear Information System (INIS)

Craig, Christopher A.; Allen, Myria W.

2014-01-01

This study explores factors related to energy consumers' perceptions of government subsidies for utility provided energy efficiency (EE) programs and for utility providers' use of more clean/alternative energy sources. Demographic factors, attitudes, planned purchases, and perceptions of utility provider motives in relation to governmental and utility provider EE initiatives (i.e. providing discounts and coupons for CFL bulbs), plus the influence of gain- and loss-framed messages are investigated. Over 2000 respondents completed a 16 item phone survey. Hierarchical regression explained 38% of the variance in reactions regarding government subsidies of the cost of utility provided EE programs and 43% of the variance in perceptions involving whether utility companies should use of more clean or alternative forms of energy. Gender and party differences emerged. Loss-framed messages were more important when the issue was government subsidies. Both gain- and loss-framed messages were important when clean/alternative energy was the issue. - Highlights: • Over 2000 ratepayers were surveyed on their attitudes, planned behaviors and perceptions towards energy efficiency programs. • Almost 40% of how ratepayers feel about government subsidies and utility use of clean/alternative energy was explained. • Loss-framed messages were more effective when the dependent variable was ratepayer perception of government subsidies

How gender, age, and geography influence the utilization of radiation therapy in the management of malignant melanoma

International Nuclear Information System (INIS)

French, John; McGahan, Colleen; Duncan, Graeme; Lengoc, Sonca; Soo, Jenny; Cannon, Jerry

2006-01-01

Purpose: Comparing radiation therapy utilization rates (RTUR) to those predicted by best evidence is a useful measure of the equity and accessibility of service delivery. In this study the RTUR for melanoma was established for British Columbia, Canada, and compared with the rate suggested by the evidence. Demographic variables, specifically age, gender, and geography that influenced the RTUR were examined with a view to identifying methods of improving underutilization. Methods and Materials: The RTUR in the management of malignant melanoma was taken from British Columbia Cancer registry data for 1986 to 1998. Variations in utilization based on age, gender, health authority, stage of disease, and referral patterns were analyzed. Results: An RTUR of 11% was identified. This was consistent over time. Referral rates decreased between 1986 and 1998. RT is used mostly for later stage disease. Males were more likely to receive RT than females, related to later stage of disease in men. Referral rates decreased, but RTUR for referred cases increased, in health authorities that did not have a cancer center. Conclusions: Use of RT is influenced by age and by stage of disease. Overall RTUR in British Columbia is lower than suggested by best evidence. Referral patterns are influenced by geography. RTUR was higher in males, consistent with a different pattern of disease in males compared with females

Implications of Model Structure and Detail for Utility Planning: Scenario Case Studies Using the Resource Planning Model

Energy Technology Data Exchange (ETDEWEB)

Mai, Trieu [National Renewable Energy Lab. (NREL), Golden, CO (United States); Barrows, Clayton [National Renewable Energy Lab. (NREL), Golden, CO (United States); Lopez, Anthony [National Renewable Energy Lab. (NREL), Golden, CO (United States); Hale, Elaine [National Renewable Energy Lab. (NREL), Golden, CO (United States); Dyson, Mark [National Renewable Energy Lab. (NREL), Golden, CO (United States); Eurek, Kelly [National Renewable Energy Lab. (NREL), Golden, CO (United States)

2015-04-01

In this report, we analyze the impacts of model configuration and detail in capacity expansion models, computational tools used by utility planners looking to find the least cost option for planning the system and by researchers or policy makers attempting to understand the effects of various policy implementations. The present analysis focuses on the importance of model configurations — particularly those related to capacity credit, dispatch modeling, and transmission modeling — to the construction of scenario futures. Our analysis is primarily directed toward advanced tools used for utility planning and is focused on those impacts that are most relevant to decisions with respect to future renewable capacity deployment. To serve this purpose, we develop and employ the NREL Resource Planning Model to conduct a case study analysis that explores 12 separate capacity expansion scenarios of the Western Interconnection through 2030.

A Framework for Organizing Current and Future Electric Utility Regulatory and Business Models

Energy Technology Data Exchange (ETDEWEB)

Satchwell, Andrew [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Cappers, Peter [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Schwartz, Lisa [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Fadrhonc, Emily Martin [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

2015-06-01

In this report, we will present a descriptive and organizational framework for incremental and fundamental changes to regulatory and utility business models in the context of clean energy public policy goals. We will also discuss the regulated utility's role in providing value-added services that relate to distributed energy resources, identify the "openness" of customer information and utility networks necessary to facilitate change, and discuss the relative risks, and the shifting of risks, for utilities and customers.

An analysis of the factors influencing demand-side management activity in the electric utility industry

Science.gov (United States)

Bock, Mark Joseph

Demand-side management (DSM), defined as the "planning, implementation, and monitoring of utility activities designed to encourage consumers to modify their pattern of electricity usage, including the timing and level of electricity demand," is a relatively new concept in the U.S. electric power industry. Nevertheless, in twenty years since it was first introduced, utility expenditures on DSM programs, as well as the number of such programs, have grown rapidly. At first glance, it may seem peculiar that a firm would actively attempt to reduce demand for its primary product. There are two primary explanations as to why a utility might pursue DSM: regulatory mandate, and self-interest. The purpose of this dissertation is to determine the impact these influences have on the amount of DSM undertaken by utilities. This research is important for two reasons. First, it provides insight into whether DSM will continue to exist as competition becomes more prevalent in the industry. Secondly, it is important because no one has taken a comprehensive look at firm-level DSM activity on an industry-wide basis. The primary data set used in this dissertation is the U.S. Department of Energy's Annual Electric Utility Report, Form EIA-861, which represents the most comprehensive data set available for analyzing DSM activity in the U.S. There are four measures of DSM activity in this data set: (1) utility expenditures on DSM programs; (2) energy savings by DSM program participants; and (3) the actual and (4) the potential reductions in peak load resulting from utility DSM measures. Each is used as the dependent variable in an econometric analysis where independent variables include various utility characteristics, regulatory characteristics, and service territory and customer characteristics. In general, the results from the econometric analysis suggest that in 1993, DSM activity was primarily the result of regulatory pressure. All of the evidence suggests that if DSM continues to

Modelling of limestone injection for SO2 capture in a coal fired utility boiler

International Nuclear Information System (INIS)

Kovacik, G.J.; Reid, K.; McDonald, M.M.; Knill, K.

1997-01-01

A computer model was developed for simulating furnace sorbent injection for SO 2 capture in a full scale utility boiler using TASCFlow TM computational fluid dynamics (CFD) software. The model makes use of a computational grid of the superheater section of a tangentially fired utility boiler. The computer simulations are three dimensional so that the temperature and residence time distribution in the boiler could be realistically represented. Results of calculations of simulated sulphur capture performance of limestone injection in a typical utility boiler operation were presented

Identification of human operator performance models utilizing time series analysis

Science.gov (United States)

Holden, F. M.; Shinners, S. M.

1973-01-01

The results of an effort performed by Sperry Systems Management Division for AMRL in applying time series analysis as a tool for modeling the human operator are presented. This technique is utilized for determining the variation of the human transfer function under various levels of stress. The human operator's model is determined based on actual input and output data from a tracking experiment.

Modeling factors influencing the demand for emergency department services in ontario: a comparison of methods

Directory of Open Access Journals (Sweden)

Meaney Christopher

2011-08-01

investigating predictors of increased emergency department utilization. Six different multiple regression models for count data were fitted to assess the influence of predictors on demand for emergency department services, including: Poisson, Negative Binomial, Zero-Inflated Poisson, Zero-Inflated Negative Binomial, Hurdle Poisson, and Hurdle Negative Binomial. Comparison of competing models was assessed by the Vuong test statistic. Results The CCHS cycle 2.1 respondents were a roughly equal mix of males (50.4% and females (49.6%. The majority (86.2% were young-middle aged adults between the ages of 20-64, living in predominantly urban environments (85.9%, with mid-high household incomes (92.2% and well-educated, receiving at least a high-school diploma (84.1%. Many participants reported no chronic disease (51.9%, fell into a small number (0-5 of ambulatory diagnostic groups (62.3%, and perceived their health status as good/excellent (88.1%; however, were projected to have high Resource Utilization Band levels of health resource utilization (68.2%. These factors were largely stable for CCHS cycle 3.1 respondents. Factors influencing demand for emergency department services varied according to the severity of triage scores at initial presentation. For example, although a non-significant predictor of the odds of emergency department utilization in high severity cases, access to a primary care physician was a statistically significant predictor of the likelihood of emergency department utilization (OR: 0.69; 95% CI OR: 0.63-0.75 and the rate of emergency department utilization (RR: 0.57; 95% CI RR: 0.50-0.66 in low severity cases. Conclusion Using a theoretically appropriate hurdle negative binomial regression model this unique study illustrates that access to a primary care physician is an important predictor of both the odds and rate of emergency department utilization in Ontario. Restructuring primary care services, with aims of increasing access to undersupplied populations

Modeling factors influencing the demand for emergency department services in Ontario: a comparison of methods.

Science.gov (United States)

Moineddin, Rahim; Meaney, Christopher; Agha, Mohammad; Zagorski, Brandon; Glazier, Richard Henry

2011-08-19

department utilization. Six different multiple regression models for count data were fitted to assess the influence of predictors on demand for emergency department services, including: Poisson, Negative Binomial, Zero-Inflated Poisson, Zero-Inflated Negative Binomial, Hurdle Poisson, and Hurdle Negative Binomial. Comparison of competing models was assessed by the Vuong test statistic. The CCHS cycle 2.1 respondents were a roughly equal mix of males (50.4%) and females (49.6%). The majority (86.2%) were young-middle aged adults between the ages of 20-64, living in predominantly urban environments (85.9%), with mid-high household incomes (92.2%) and well-educated, receiving at least a high-school diploma (84.1%). Many participants reported no chronic disease (51.9%), fell into a small number (0-5) of ambulatory diagnostic groups (62.3%), and perceived their health status as good/excellent (88.1%); however, were projected to have high Resource Utilization Band levels of health resource utilization (68.2%). These factors were largely stable for CCHS cycle 3.1 respondents. Factors influencing demand for emergency department services varied according to the severity of triage scores at initial presentation. For example, although a non-significant predictor of the odds of emergency department utilization in high severity cases, access to a primary care physician was a statistically significant predictor of the likelihood of emergency department utilization (OR: 0.69; 95% CI OR: 0.63-0.75) and the rate of emergency department utilization (RR: 0.57; 95% CI RR: 0.50-0.66) in low severity cases. Using a theoretically appropriate hurdle negative binomial regression model this unique study illustrates that access to a primary care physician is an important predictor of both the odds and rate of emergency department utilization in Ontario. Restructuring primary care services, with aims of increasing access to undersupplied populations may result in decreased emergency department

Path Tracking Control of Automatic Parking Cloud Model considering the Influence of Time Delay

Directory of Open Access Journals (Sweden)

Yiding Hua

2017-01-01

Full Text Available This paper establishes the kinematic model of the automatic parking system and analyzes the kinematic constraints of the vehicle. Furthermore, it solves the problem where the traditional automatic parking system model fails to take into account the time delay. Firstly, based on simulating calculation, the influence of time delay on the dynamic trajectory of a vehicle in the automatic parking system is analyzed under the transverse distance Dlateral between different target spaces. Secondly, on the basis of cloud model, this paper utilizes the tracking control of an intelligent path closer to human intelligent behavior to further study the Cloud Generator-based parking path tracking control method and construct a vehicle path tracking control model. Moreover, tracking and steering control effects of the model are verified through simulation analysis. Finally, the effectiveness and timeliness of automatic parking controller in the aspect of path tracking are tested through a real vehicle experiment.

Maximizing the model for Discounted Stream of Utility from ...

African Journals Online (AJOL)

Osagiede et al. (2009) considered an analytic model for maximizing discounted stream of utility from consumption when the rate of production is linear. A solution was provided to a level where methods of solving order differential equations will be applied, but they left off there, as a result of the mathematical complexity ...

Extension of the behavioral model of healthcare utilization with ethnically diverse, low-income women.

Science.gov (United States)

Keenan, Lisa A; Marshall, Linda L; Eve, Susan

2002-01-01

Psychosocial vulnerabilities were added to a model of healthcare utilization. This extension was tested among low-income women with ethnicity addressed as a moderator. Structured interviews were conducted at 2 points in time, approximately 1 year apart. The constructs of psychosocial vulnerability, demographic predisposing, barriers, and illness were measured by multiple indicators to allow use of Structural Equation Modeling to analyze results. The models were tested separately for each ethnic group. Community office. African-American (N = 266), Euro-American (N = 200), and Mexican-American (N = 210) women were recruited from the Dallas Metropolitan area to participate in Project Health Outcomes of Women, a multi-year, multi-wave study. Face-to-face interviews were conducted with this sample. Participants had been in heterosexual relationships for at least 1 year, were between 20 and 49 years of age, and had incomes less than 200% of the national poverty level. Healthcare utilization, defined as physician visits and general healthcare visits. Illness mediated the effect of psychosocial vulnerability on healthcare utilization for African Americans and Euro-Americans. The model for Mexican Americans was the most complex. Psychosocial vulnerability on illness was partially mediated by barriers, which also directly affected utilization. Psychosocial vulnerabilities were significant utilization predictors for healthcare use for all low-income women in this study. The final models for the 2 minority groups, African Americans and Mexican Americans, were quite different. Hence, women of color should not be considered a homogeneous group in comparison to Euro-Americans.

Research on the Prediction Model of CPU Utilization Based on ARIMA-BP Neural Network

Directory of Open Access Journals (Sweden)

Wang Jina

2016-01-01

Full Text Available The dynamic deployment technology of the virtual machine is one of the current cloud computing research focuses. The traditional methods mainly work after the degradation of the service performance that usually lag. To solve the problem a new prediction model based on the CPU utilization is constructed in this paper. A reference offered by the new prediction model of the CPU utilization is provided to the VM dynamic deployment process which will speed to finish the deployment process before the degradation of the service performance. By this method it not only ensure the quality of services but also improve the server performance and resource utilization. The new prediction method of the CPU utilization based on the ARIMA-BP neural network mainly include four parts: preprocess the collected data, build the predictive model of ARIMA-BP neural network, modify the nonlinear residuals of the time series by the BP prediction algorithm and obtain the prediction results by analyzing the above data comprehensively.

Multi-currency Influence Diagrams

DEFF Research Database (Denmark)

Nielsen, Søren Holbech; Nielsen, Thomas Dyhre; Jensen, Finn Verner

2004-01-01

Solution of decision problems, which involve utilities of several currencies, have traditionally required the problems to be converted into decision problems involving utilities of only one currency. This conversion are carried out using a tacit transformation, under the assumption...... that the converted problem is equivalent to the original one. In this paper we present an extension of the Influence Diagram framework, which allows for these decision problems to be modelled in their original form. We present an algorithm that, given a conversion function between the currencies, discovers...

An econometric analysis of changes in arable land utilization using multinomial logit model in Pinggu district, Beijing, China.

Science.gov (United States)

Xu, Yueqing; McNamara, Paul; Wu, Yanfang; Dong, Yue

2013-10-15

Arable land in China has been decreasing as a result of rapid population growth and economic development as well as urban expansion, especially in developed regions around cities where quality farmland quickly disappears. This paper analyzed changes in arable land utilization during 1993-2008 in the Pinggu district, Beijing, China, developed a multinomial logit (MNL) model to determine spatial driving factors influencing arable land-use change, and simulated arable land transition probabilities. Land-use maps, as well as social-economic and geographical data were used in the study. The results indicated that arable land decreased significantly between 1993 and 2008. Lost arable land shifted into orchard, forestland, settlement, and transportation land. Significant differences existed for arable land transitions among different landform areas. Slope, elevation, population density, urbanization rate, distance to settlements, and distance to roadways were strong drivers influencing arable land transition to other uses. The MNL model was proved effective for predicting transition probabilities in land use from arable land to other land-use types, thus can be used for scenario analysis to develop land-use policies and land-management measures in this metropolitan area. Copyright © 2013 Elsevier Ltd. All rights reserved.

The utilization of cranial models created using rapid prototyping techniques in the development of models for navigation training.

Science.gov (United States)

Waran, V; Pancharatnam, Devaraj; Thambinayagam, Hari Chandran; Raman, Rajagopal; Rathinam, Alwin Kumar; Balakrishnan, Yuwaraj Kumar; Tung, Tan Su; Rahman, Z A

2014-01-01

Navigation in neurosurgery has expanded rapidly; however, suitable models to train end users to use the myriad software and hardware that come with these systems are lacking. Utilizing three-dimensional (3D) industrial rapid prototyping processes, we have been able to create models using actual computed tomography (CT) data from patients with pathology and use these models to simulate a variety of commonly performed neurosurgical procedures with navigation systems. To assess the possibility of utilizing models created from CT scan dataset obtained from patients with cranial pathology to simulate common neurosurgical procedures using navigation systems. Three patients with pathology were selected (hydrocephalus, right frontal cortical lesion, and midline clival meningioma). CT scan data following an image-guidance surgery protocol in DIACOM format and a Rapid Prototyping Machine were taken to create the necessary printed model with the corresponding pathology embedded. The ability in registration, planning, and navigation of two navigation systems using a variety of software and hardware provided by these platforms was assessed. We were able to register all models accurately using both navigation systems and perform the necessary simulations as planned. Models with pathology utilizing 3D rapid prototyping techniques accurately reflect data of actual patients and can be used in the simulation of neurosurgical operations using navigation systems. Georg Thieme Verlag KG Stuttgart · New York.

Institutional design and utilization of evaluation: a contribution to a theory of evaluation influence based on Swiss experience.

Science.gov (United States)

Balthasar, Andreas

2009-06-01

Growing interest in the institutionalization of evaluation in the public administration raises the question as to which institutional arrangement offers optimal conditions for the utilization of evaluations. Institutional arrangement denotes the formal organization of processes and competencies, together with procedural rules, that are applicable independently of individual evaluation projects. It reflects the evaluation practice of an institution and defines the distance between evaluators and evaluees. This article outlines the results of a broad-based study of all 300 or so evaluations that the Swiss Federal Administration completed from 1999 to 2002. On this basis, it derives a theory of the influence of institutional factors on the utilization of evaluations.

Influence diagnostics in meta-regression model.

Science.gov (United States)

Shi, Lei; Zuo, ShanShan; Yu, Dalei; Zhou, Xiaohua

2017-09-01

This paper studies the influence diagnostics in meta-regression model including case deletion diagnostic and local influence analysis. We derive the subset deletion formulae for the estimation of regression coefficient and heterogeneity variance and obtain the corresponding influence measures. The DerSimonian and Laird estimation and maximum likelihood estimation methods in meta-regression are considered, respectively, to derive the results. Internal and external residual and leverage measure are defined. The local influence analysis based on case-weights perturbation scheme, responses perturbation scheme, covariate perturbation scheme, and within-variance perturbation scheme are explored. We introduce a method by simultaneous perturbing responses, covariate, and within-variance to obtain the local influence measure, which has an advantage of capable to compare the influence magnitude of influential studies from different perturbations. An example is used to illustrate the proposed methodology. Copyright © 2017 John Wiley & Sons, Ltd.

An integrated utility-based model of conflict evaluation and resolution in the Stroop task.

Science.gov (United States)

Chuderski, Adam; Smolen, Tomasz

2016-04-01

Cognitive control allows humans to direct and coordinate their thoughts and actions in a flexible way, in order to reach internal goals regardless of interference and distraction. The hallmark test used to examine cognitive control is the Stroop task, which elicits both the weakly learned but goal-relevant and the strongly learned but goal-irrelevant response tendencies, and requires people to follow the former while ignoring the latter. After reviewing the existing computational models of cognitive control in the Stroop task, its novel, integrated utility-based model is proposed. The model uses 3 crucial control mechanisms: response utility reinforcement learning, utility-based conflict evaluation using the Festinger formula for assessing the conflict level, and top-down adaptation of response utility in service of conflict resolution. Their complex, dynamic interaction led to replication of 18 experimental effects, being the largest data set explained to date by 1 Stroop model. The simulations cover the basic congruency effects (including the response latency distributions), performance dynamics and adaptation (including EEG indices of conflict), as well as the effects resulting from manipulations applied to stimulation and responding, which are yielded by the extant Stroop literature. (c) 2016 APA, all rights reserved).

Improved Geothermometry Through Multivariate Reaction-path Modeling and Evaluation of Geomicrobiological Influences on Geochemical Temperature Indicators: Final Report

Energy Technology Data Exchange (ETDEWEB)

Mattson, Earl [Idaho National Lab. (INL), Idaho Falls, ID (United States); Smith, Robert [Idaho National Lab. (INL), Idaho Falls, ID (United States); Fujita, Yoshiko [Idaho National Lab. (INL), Idaho Falls, ID (United States); McLing, Travis [Idaho National Lab. (INL), Idaho Falls, ID (United States); Neupane, Ghanashyam [Idaho National Lab. (INL), Idaho Falls, ID (United States); Palmer, Carl [Idaho National Lab. (INL), Idaho Falls, ID (United States); Reed, David [Idaho National Lab. (INL), Idaho Falls, ID (United States); Thompson, Vicki [Idaho National Lab. (INL), Idaho Falls, ID (United States)

2015-03-01

The project was aimed at demonstrating that the geothermometric predictions can be improved through the application of multi-element reaction path modeling that accounts for lithologic and tectonic settings, while also accounting for biological influences on geochemical temperature indicators. The limited utilization of chemical signatures by individual traditional geothermometer in the development of reservoir temperature estimates may have been constraining their reliability for evaluation of potential geothermal resources. This project, however, was intended to build a geothermometry tool which can integrate multi-component reaction path modeling with process-optimization capability that can be applied to dilute, low-temperature water samples to consistently predict reservoir temperature within ±30 °C. The project was also intended to evaluate the extent to which microbiological processes can modulate the geochemical signals in some thermal waters and influence the geothermometric predictions.

Social Service Utilization, Sense of Community, Family Functioning and the Mental Health of New Immigrant Women in Hong Kong

OpenAIRE

Wu, Qiaobing; Chow, Julian

2013-01-01

Drawing upon a sample of 296 new immigrant women in Hong Kong, this study investigated how social service utilization, family functioning, and sense of community influenced the depressive symptoms of new immigrant women. Results of the structural equation modeling suggested that family functioning and sense of community were both significantly and negatively associated with the depression of new immigrant women. Utilization of community services also influenced the depression of immigrant wom...

Influence of self-perceived oral health and socioeconomic predictors on the utilization of dental care services by schoolchildren.

Science.gov (United States)

Piovesan, Chaiana; Antunes, José Leopoldo Ferreira; Guedes, Renata Saraiva; Ardenghi, Thiago Machado

2011-01-01

The influence of socioeconomic factors and self-rated oral health on children's dental health assistance was assessed. This study followed a cross-sectional design, with a multistage random sample of 792 12-year-old schoolchildren from Santa Maria, a city in southern Brazil. A dental examination provided information on the prevalence of dental caries (DMFT index). Data about the use of dental service, socioeconomic status, and self-perceived oral health were collected by means of structured interviews. These associations were assessed using Poisson regression models (prevalence ratio; 95% confidence interval). The prevalence of regular use of dental service was 47.8%. Children from low socioeconomic backgrounds and those who rated their oral health as "poor" used the service less frequently. The distribution of the kind of oral healthcare assistance used (public/private) varied across socioeconomic groups. The better-off children were less likely to have used the public service. Clinical, socioeconomic, and psychosocial factors were strong predictors for the utilization of dental care services by schoolchildren.

Climate change, phenology, and butterfly host plant utilization.

Science.gov (United States)

Navarro-Cano, Jose A; Karlsson, Bengt; Posledovich, Diana; Toftegaard, Tenna; Wiklund, Christer; Ehrlén, Johan; Gotthard, Karl

2015-01-01

Knowledge of how species interactions are influenced by climate warming is paramount to understand current biodiversity changes. We review phenological changes of Swedish butterflies during the latest decades and explore potential climate effects on butterfly-host plant interactions using the Orange tip butterfly Anthocharis cardamines and its host plants as a model system. This butterfly has advanced its appearance dates substantially, and its mean flight date shows a positive correlation with latitude. We show that there is a large latitudinal variation in host use and that butterfly populations select plant individuals based on their flowering phenology. We conclude that A. cardamines is a phenological specialist but a host species generalist. This implies that thermal plasticity for spring development influences host utilization of the butterfly through effects on the phenological matching with its host plants. However, the host utilization strategy of A. cardamines appears to render it resilient to relatively large variation in climate.

An Analysis/Synthesis System of Audio Signal with Utilization of an SN Model

Directory of Open Access Journals (Sweden)

G. Rozinaj

2004-12-01

Full Text Available An SN (sinusoids plus noise model is a spectral model, in which theperiodic components of the sound are represented by sinusoids withtime-varying frequencies, amplitudes and phases. The remainingnon-periodic components are represented by a filtered noise. Thesinusoidal model utilizes physical properties of musical instrumentsand the noise model utilizes the human inability to perceive the exactspectral shape or the phase of stochastic signals. SN modeling can beapplied in a compression, transformation, separation of sounds, etc.The designed system is based on methods used in the SN modeling. Wehave proposed a model that achieves good results in audio perception.Although many systems do not save phases of the sinusoids, they areimportant for better modelling of transients, for the computation ofresidual and last but not least for stereo signals, too. One of thefundamental properties of the proposed system is the ability of thesignal reconstruction not only from the amplitude but from the phasepoint of view, as well.

Understanding Influence within the Context of Nursing: Development of the Adams Influence Model Using Practice, Research, and Theory.

Science.gov (United States)

Adams, Jeffrey M; Natarajan, Sudha

2016-01-01

Acquiring influence, and knowing how to use it, is a required competency for nurse leaders, yet the concept of influence and how it works is not well described in the nursing literature. In this article, the authors examine what is known about influence and present an influence model specific to nurse leaders. The Adams Influence Model was developed through an iterative process and is based on a comprehensive review of the influence literature, expert commentary, multiple pilot studies, evaluation of nursing theories, and validation by an external data source. Rather than defining "how to" influence, the model serves as a guide for personal reflection, helping nurse leaders understand and reflect on the influence process and factors, tactics, and strategies they can use when seeking to influence others.

Factors influencing Patients' Utilization of Dental Health Services in Jazan, Kingdom of Saudi Arabia.

Science.gov (United States)

Quadri, Faeq A; Jafari, Fatimahi Am; Albeshri, Alanood Ts; Zailai, Abdulaziz M

2018-01-01

One way of prevention and early detection of oral diseases is by utilizing the dental health care services on a regular basis. The current study aims to know the factors that play a role in influencing the dental service utilization in Jazan, Kingdom of Saudi Arabia. A cross-sectional survey using a self-administered questionnaire was designed and implemented. Study subjects comprised of patients visiting the dental clinics at Jazan University and the primary dental centers of five different suburbs in Jazan region of Kingdom of Saudi Arabia. Items in the questionnaire were grouped into three sections; "demographic details," "self-reported dental visits," and "potential factors" contributing to dental visits. Chi-square p-value of 0.05 or less was considered as significant and logistic regression with 95% confidence interval (CI) was performed to get more precise results. The sample size was 395 (N) of which 44.8% were males and 53.4% were females. Less than half (45.8%) of the studied sample reported that their last visit to a dentist was within a span of one year and 33% of them think that a dentist should only be visited if they experience pain. Patients following instructions given by a dentist were 7 times [odds ratio (OR) = 0.13; CI = 0.04, 0.40] less likely to miss their regular dental appointments. Following this, patients receiving knowledge on their dental problems were seen to be twice (OR = 0.50; CI = 0.25, 0.98) less likely to be irregular with their dental visits. Finally, the patients who are better educated and literate were also 2 times (OR = 2.21; CI = 1.14, 4.28) more likely to be regular with their dental appointments in comparison with the patients who completed just their primary level education. Findings of this study will facilitate future oral health prevention programs to be more focused, thereby reducing the gap between high and low educated sectors of the population residing in Jazan. How to cite this article: Quadri FA, Jafari FAM

Consumer preferences for alternative fuel vehicles: Comparing a utility maximization and a regret minimization model

International Nuclear Information System (INIS)

Chorus, Caspar G.; Koetse, Mark J.; Hoen, Anco

2013-01-01

This paper presents a utility-based and a regret-based model of consumer preferences for alternative fuel vehicles, based on a large-scale stated choice-experiment held among company car leasers in The Netherlands. Estimation and application of random utility maximization and random regret minimization discrete choice models shows that while the two models achieve almost identical fit with the data and differ only marginally in terms of predictive ability, they generate rather different choice probability-simulations and policy implications. The most eye-catching difference between the two models is that the random regret minimization model accommodates a compromise-effect, as it assigns relatively high choice probabilities to alternative fuel vehicles that perform reasonably well on each dimension instead of having a strong performance on some dimensions and a poor performance on others. - Highlights: • Utility- and regret-based models of preferences for alternative fuel vehicles. • Estimation based on stated choice-experiment among Dutch company car leasers. • Models generate rather different choice probabilities and policy implications. • Regret-based model accommodates a compromise-effect

THE ACTION MODEL FOR MEASURING INFLUENCE IN ADVERTISING

Directory of Open Access Journals (Sweden)

Andrej Kovacic

2014-09-01

Full Text Available Despite the abundance of different theories there is little agreement on the suitable model that would explain how influence in advertising works. Historically, theoretical models have moved from including solely rational components towards including emotional components and from focusing on sequential processing towards hierarchy free processing models. Based on the existing literature, several most representative models are presented, described and evaluated. In a quest to explain a broader view on advertising influence we introduced the ACTION model (an acronym for Aim, Connection, Techniques, Identity, Opportunity and Numerous. Advantages, suggestions for future research and a critical discussion of using this model are further discussed.

Factors Influencing Adoption of Information Technology Infrastructure Library: Utilizing the Technology Acceptance Model (TAM)

Science.gov (United States)

Cox, Din S. Z.

2013-01-01

There is a shortage of evidence based research that provides organizations with the necessary information in support of their technology adoption decisions in relation to ITSM technologies. As such, this research study attempted to bridge the gap by offering insight on possible factors that could influence such decisions. An examination of…

Utilization of day surgery services at Upper hill Medical Centre and the Karen hospital in Nairobi: the influence of medical providers, cost and patient awareness.

Science.gov (United States)

Odhiambo, Mildred Adhiambo; Njuguna, Susan; Waireri-Onyango, Rachel; Mulimba, Josephat; Ngugi, Peter Mungai

2015-01-01

Health systems face challenges of improving access to health services due to rising health care costs. Innovative services such as day surgery would improve service delivery. Day surgery is a concept where patients are admitted for surgical procedures and discharged the same day. Though used widely in developed countries due to its advantages, utilization in developing countries has been low. This study sought to establish how utilization of day surgery services was influenced by medical providers, patient awareness and cost among other factors. The study design was cross sectional with self administered questionnaires used to collect data. Data analysis was done by using statistical package for social science (SPSS) and presented as frequencies, percentages and Spearman's correlation to establish relationship among variables. Medical providers included doctors, their employees and medical insurance providers. Most doctors were aware of day surgery services but their frequency of utilization was low. Furthermore, medical insurance providers approved only half of the requests for day surgery. Doctors' employees were aware of the services and most of them would recommend it to patients. Although, most patients were not aware of day surgery services those who were aware would prefer day surgery to in patient. Moreover, doctors and medical insurance providers considered day surgery to be cheaper than in patient. The study showed that medical providers and patient awareness had influence over day surgery utilization, though, cost alone did not influence day surgery utilization but as a combination with other factors.

Marginal Utility of Conditional Sensitivity Analyses for Dynamic Models

Science.gov (United States)

Background/Question/MethodsDynamic ecological processes may be influenced by many factors. Simulation models thatmimic these processes often have complex implementations with many parameters. Sensitivityanalyses are subsequently used to identify critical parameters whose uncertai...

A workflow learning model to improve geovisual analytics utility.

Science.gov (United States)

Roth, Robert E; Maceachren, Alan M; McCabe, Craig A

2009-01-01

INTRODUCTION: This paper describes the design and implementation of the G-EX Portal Learn Module, a web-based, geocollaborative application for organizing and distributing digital learning artifacts. G-EX falls into the broader context of geovisual analytics, a new research area with the goal of supporting visually-mediated reasoning about large, multivariate, spatiotemporal information. Because this information is unprecedented in amount and complexity, GIScientists are tasked with the development of new tools and techniques to make sense of it. Our research addresses the challenge of implementing these geovisual analytics tools and techniques in a useful manner. OBJECTIVES: The objective of this paper is to develop and implement a method for improving the utility of geovisual analytics software. The success of software is measured by its usability (i.e., how easy the software is to use?) and utility (i.e., how useful the software is). The usability and utility of software can be improved by refining the software, increasing user knowledge about the software, or both. It is difficult to achieve transparent usability (i.e., software that is immediately usable without training) of geovisual analytics software because of the inherent complexity of the included tools and techniques. In these situations, improving user knowledge about the software through the provision of learning artifacts is as important, if not more so, than iterative refinement of the software itself. Therefore, our approach to improving utility is focused on educating the user. METHODOLOGY: The research reported here was completed in two steps. First, we developed a model for learning about geovisual analytics software. Many existing digital learning models assist only with use of the software to complete a specific task and provide limited assistance with its actual application. To move beyond task-oriented learning about software use, we propose a process-oriented approach to learning based on

Prospect relativity: how choice options influence decision under risk.

Science.gov (United States)

Stewart, Neil; Chater, Nick; Stott, Henry P; Reimers, Stian

2003-03-01

In many theories of decision under risk (e.g., expected utility theory, rank-dependent utility theory, and prospect theory), the utility of a prospect is independent of other options in the choice set. The experiments presented here show a large effect of the available options, suggesting instead that prospects are valued relative to one another. The judged certainty equivalent for a prospect is strongly influenced by the options available. Similarly, the selection of a preferred prospect is strongly influenced by the prospects available. Alternative theories of decision under risk (e.g., the stochastic difference model, multialternative decision field theory, and range frequency theory), where prospects are valued relative to one another, can provide an account of these context effects.

Utility of Small Animal Models of Developmental Programming.

Science.gov (United States)

Reynolds, Clare M; Vickers, Mark H

2018-01-01

Any effective strategy to tackle the global obesity and rising noncommunicable disease epidemic requires an in-depth understanding of the mechanisms that underlie these conditions that manifest as a consequence of complex gene-environment interactions. In this context, it is now well established that alterations in the early life environment, including suboptimal nutrition, can result in an increased risk for a range of metabolic, cardiovascular, and behavioral disorders in later life, a process preferentially termed developmental programming. To date, most of the mechanistic knowledge around the processes underpinning development programming has been derived from preclinical research performed mostly, but not exclusively, in laboratory mouse and rat strains. This review will cover the utility of small animal models in developmental programming, the limitations of such models, and potential future directions that are required to fully maximize information derived from preclinical models in order to effectively translate to clinical use.

China’s Water Utilization Efficiency: An Analysis with Environmental Considerations

Directory of Open Access Journals (Sweden)

Hailiang Ma

2016-05-01

Full Text Available This paper estimates China’s water utilization efficiency using the directional distance function to take into account the environmental degradation affecting the economy. We further analyze the spatial correlation and the factors influencing the utilization efficiency using spatial panel data models. The results show that water utilization efficiency in China differs between provinces and regions. For example, water utilization efficiency in the eastern coastal provinces is significantly higher than that of inland provinces. The pattern of spatial auto-correlation Moran’s I index presents significant spatial auto-correlation and evident cluster tendencies in China’s inter-provincial water utilization. Factors that contribute to water utilization efficiency include economic development, technological progress, and economic openness. Negative factors affecting water utilization efficiency arise from industrial structure, government interference, and water resources endowment. In addition, the price of water resources is insignificant. The improvement of water utilization efficiency is essential to sustainable economic development. To raise the utilization efficiency of water resources, China should focus on transforming its industrial restructure, advancing technological development, enhancing economic openness, and encouraging entrepreneurial innovations. Moreover, establishing a mechanism to encourage water conservation and reduce wastewater pollution will further increase water utilization efficiency.

A framework for estimating health state utility values within a discrete choice experiment: modeling risky choices.

Science.gov (United States)

Robinson, Angela; Spencer, Anne; Moffatt, Peter

2015-04-01

There has been recent interest in using the discrete choice experiment (DCE) method to derive health state utilities for use in quality-adjusted life year (QALY) calculations, but challenges remain. We set out to develop a risk-based DCE approach to derive utility values for health states that allowed 1) utility values to be anchored directly to normal health and death and 2) worse than dead health states to be assessed in the same manner as better than dead states. Furthermore, we set out to estimate alternative models of risky choice within a DCE model. A survey was designed that incorporated a risk-based DCE and a "modified" standard gamble (SG). Health state utility values were elicited for 3 EQ-5D health states assuming "standard" expected utility (EU) preferences. The DCE model was then generalized to allow for rank-dependent expected utility (RDU) preferences, thereby allowing for probability weighting. A convenience sample of 60 students was recruited and data collected in small groups. Under the assumption of "standard" EU preferences, the utility values derived within the DCE corresponded fairly closely to the mean results from the modified SG. Under the assumption of RDU preferences, the utility values estimated are somewhat lower than under the assumption of standard EU, suggesting that the latter may be biased upward. Applying the correct model of risky choice is important whether a modified SG or a risk-based DCE is deployed. It is, however, possible to estimate a probability weighting function within a DCE and estimate "unbiased" utility values directly, which is not possible within a modified SG. We conclude by setting out the relative strengths and weaknesses of the 2 approaches in this context. © The Author(s) 2014.

Local Stability Conditions for Two Types of Monetary Models with Recursive Utility

OpenAIRE

Miyazaki, Kenji; Utsunomiya, Hitoshi

2009-01-01

This paper explores local stability conditions for money-in-utility-function (MIUF) and transaction-costs (TC) models with recursive utility.A monetary variant of the Brock-Gale condition provides a theoretical justification of the comparative statics analysis. One of sufficient conditions for local stability is increasing marginal impatience (IMI) in consumption and money. However, this does not deny the possibility of decreasing marginal impatience (DMI). The local stability with DMI is mor...

Animal models of myasthenia gravis: utility and limitations

Science.gov (United States)

Mantegazza, Renato; Cordiglieri, Chiara; Consonni, Alessandra; Baggi, Fulvio

2016-01-01

Myasthenia gravis (MG) is a chronic autoimmune disease caused by the immune attack of the neuromuscular junction. Antibodies directed against the acetylcholine receptor (AChR) induce receptor degradation, complement cascade activation, and postsynaptic membrane destruction, resulting in functional reduction in AChR availability. Besides anti-AChR antibodies, other autoantibodies are known to play pathogenic roles in MG. The experimental autoimmune MG (EAMG) models have been of great help over the years in understanding the pathophysiological role of specific autoantibodies and T helper lymphocytes and in suggesting new therapies for prevention and modulation of the ongoing disease. EAMG can be induced in mice and rats of susceptible strains that show clinical symptoms mimicking the human disease. EAMG models are helpful for studying both the muscle and the immune compartments to evaluate new treatment perspectives. In this review, we concentrate on recent findings on EAMG models, focusing on their utility and limitations. PMID:27019601

Development of a Deterministic Optimization Model for Design of an Integrated Utility and Hydrogen Supply Network

International Nuclear Information System (INIS)

Hwangbo, Soonho; Lee, In-Beum; Han, Jeehoon

2014-01-01

Lots of networks are constructed in a large scale industrial complex. Each network meet their demands through production or transportation of materials which are needed to companies in a network. Network directly produces materials for satisfying demands in a company or purchase form outside due to demand uncertainty, financial factor, and so on. Especially utility network and hydrogen network are typical and major networks in a large scale industrial complex. Many studies have been done mainly with focusing on minimizing the total cost or optimizing the network structure. But, few research tries to make an integrated network model by connecting utility network and hydrogen network. In this study, deterministic mixed integer linear programming model is developed for integrating utility network and hydrogen network. Steam Methane Reforming process is necessary for combining two networks. After producing hydrogen from Steam-Methane Reforming process whose raw material is steam vents from utility network, produced hydrogen go into hydrogen network and fulfill own needs. Proposed model can suggest optimized case in integrated network model, optimized blueprint, and calculate optimal total cost. The capability of the proposed model is tested by applying it to Yeosu industrial complex in Korea. Yeosu industrial complex has the one of the biggest petrochemical complex and various papers are based in data of Yeosu industrial complex. From a case study, the integrated network model suggests more optimal conclusions compared with previous results obtained by individually researching utility network and hydrogen network

Estimating the relative utility of screening mammography.

Science.gov (United States)

Abbey, Craig K; Eckstein, Miguel P; Boone, John M

2013-05-01

The concept of diagnostic utility is a fundamental component of signal detection theory, going back to some of its earliest works. Attaching utility values to the various possible outcomes of a diagnostic test should, in principle, lead to meaningful approaches to evaluating and comparing such systems. However, in many areas of medical imaging, utility is not used because it is presumed to be unknown. In this work, we estimate relative utility (the utility benefit of a detection relative to that of a correct rejection) for screening mammography using its known relation to the slope of a receiver operating characteristic (ROC) curve at the optimal operating point. The approach assumes that the clinical operating point is optimal for the goal of maximizing expected utility and therefore the slope at this point implies a value of relative utility for the diagnostic task, for known disease prevalence. We examine utility estimation in the context of screening mammography using the Digital Mammographic Imaging Screening Trials (DMIST) data. We show how various conditions can influence the estimated relative utility, including characteristics of the rating scale, verification time, probability model, and scope of the ROC curve fit. Relative utility estimates range from 66 to 227. We argue for one particular set of conditions that results in a relative utility estimate of 162 (±14%). This is broadly consistent with values in screening mammography determined previously by other means. At the disease prevalence found in the DMIST study (0.59% at 365-day verification), optimal ROC slopes are near unity, suggesting that utility-based assessments of screening mammography will be similar to those found using Youden's index.

Modeling Substrate Utilization, Metabolite Production, and Uranium Immobilization in Shewanella oneidensis Biofilms

Directory of Open Access Journals (Sweden)

Ryan S. Renslow

2017-06-01

Full Text Available In this study, we developed a two-dimensional mathematical model to predict substrate utilization and metabolite production rates in Shewanella oneidensis MR-1 biofilm in the presence and absence of uranium (U. In our model, lactate and fumarate are used as the electron donor and the electron acceptor, respectively. The model includes the production of extracellular polymeric substances (EPS. The EPS bound to the cell surface and distributed in the biofilm were considered bound EPS (bEPS and loosely associated EPS (laEPS, respectively. COMSOL® Multiphysics finite element analysis software was used to solve the model numerically (model file provided in the Supplementary Material. The input variables of the model were the lactate, fumarate, cell, and EPS concentrations, half saturation constant for fumarate, and diffusion coefficients of the substrates and metabolites. To estimate unknown parameters and calibrate the model, we used a custom designed biofilm reactor placed inside a nuclear magnetic resonance (NMR microimaging and spectroscopy system and measured substrate utilization and metabolite production rates. From these data we estimated the yield coefficients, maximum substrate utilization rate, half saturation constant for lactate, stoichiometric ratio of fumarate and acetate to lactate and stoichiometric ratio of succinate to fumarate. These parameters are critical to predicting the activity of biofilms and are not available in the literature. Lastly, the model was used to predict uranium immobilization in S. oneidensis MR-1 biofilms by considering reduction and adsorption processes in the cells and in the EPS. We found that the majority of immobilization was due to cells, and that EPS was less efficient at immobilizing U. Furthermore, most of the immobilization occurred within the top 10 μm of the biofilm. To the best of our knowledge, this research is one of the first biofilm immobilization mathematical models based on experimental

An Agent-Based Approach to Modeling Online Social Influence

NARCIS (Netherlands)

Maanen, P.P. van; Vecht, B. van der

2013-01-01

The aim of this study is to better understand social influence in online social media. Therefore, we propose a method in which we implement, validate and improve an individual behavior model. The behavior model is based on three fundamental behavioral principles of social influence from the

Classifier utility modeling and analysis of hypersonic inlet start/unstart considering training data costs

Science.gov (United States)

Chang, Juntao; Hu, Qinghua; Yu, Daren; Bao, Wen

2011-11-01

Start/unstart detection is one of the most important issues of hypersonic inlets and is also the foundation of protection control of scramjet. The inlet start/unstart detection can be attributed to a standard pattern classification problem, and the training sample costs have to be considered for the classifier modeling as the CFD numerical simulations and wind tunnel experiments of hypersonic inlets both cost time and money. To solve this problem, the CFD simulation of inlet is studied at first step, and the simulation results could provide the training data for pattern classification of hypersonic inlet start/unstart. Then the classifier modeling technology and maximum classifier utility theories are introduced to analyze the effect of training data cost on classifier utility. In conclusion, it is useful to introduce support vector machine algorithms to acquire the classifier model of hypersonic inlet start/unstart, and the minimum total cost of hypersonic inlet start/unstart classifier can be obtained by the maximum classifier utility theories.

An Evaluation of iMetric Studies through the Scholarly Influence Model

Directory of Open Access Journals (Sweden)

Faramarz Soheili

2016-12-01

Full Text Available Among the topics studied in the context of scientometrics, the issue of the scholarly influence is of special interest. This study tries to test the components in the scholarly influence model based on iMetrics studies, and also to find potential relations among these components. The study uses a bibliometric methodology. Since the researchers aim to determine the relationship between variables, this research is of correlation type. The initial data of this study, which comprises 5944 records in the field of iMetrics during 1978-2014, have been retrieved from Web of Science. To calculate the most of measures involved in each kind of influence, the researchers used UCINet and BibExcel software moreover, some indices have been calculated manually using Excel. After calculating all measures included in three types of influence, the researchers used the Smart PLS to test both the model and research hypotheses. The results of data analysis using the software Smart PLS confirmed the scholarly influence model and indicated significant correlation between the variables in the model. To be more precise, findings uncovered that social influence is associated with both ideational and venue influence. Moreover, the venue influence is associated with ideational influence. If researchers test the scholarly influence model in some other areas and led to positive outcomes, it is hoped that the policy-makers use a combination of variables involved in the model as a measure to evaluate the scholarly influence of researchers and to decision-makings related to purposes such as promotion, recruitment, and so on.

Modeling of ultrasonic processes utilizing a generic software framework

Science.gov (United States)

Bruns, P.; Twiefel, J.; Wallaschek, J.

2017-06-01

Modeling of ultrasonic processes is typically characterized by a high degree of complexity. Different domains and size scales must be regarded, so that it is rather difficult to build up a single detailed overall model. Developing partial models is a common approach to overcome this difficulty. In this paper a generic but simple software framework is presented which allows to coupe arbitrary partial models by slave modules with well-defined interfaces and a master module for coordination. Two examples are given to present the developed framework. The first one is the parameterization of a load model for ultrasonically-induced cavitation. The piezoelectric oscillator, its mounting, and the process load are described individually by partial models. These partial models then are coupled using the framework. The load model is composed of spring-damper-elements which are parameterized by experimental results. In the second example, the ideal mounting position for an oscillator utilized in ultrasonic assisted machining of stone is determined. Partial models for the ultrasonic oscillator, its mounting, the simplified contact process, and the workpiece’s material characteristics are presented. For both applications input and output variables are defined to meet the requirements of the framework’s interface.

Hierarchical and coupling model of factors influencing vessel traffic flow.

Science.gov (United States)

Liu, Zhao; Liu, Jingxian; Li, Huanhuan; Li, Zongzhi; Tan, Zhirong; Liu, Ryan Wen; Liu, Yi

2017-01-01

Understanding the characteristics of vessel traffic flow is crucial in maintaining navigation safety, efficiency, and overall waterway transportation management. Factors influencing vessel traffic flow possess diverse features such as hierarchy, uncertainty, nonlinearity, complexity, and interdependency. To reveal the impact mechanism of the factors influencing vessel traffic flow, a hierarchical model and a coupling model are proposed in this study based on the interpretative structural modeling method. The hierarchical model explains the hierarchies and relationships of the factors using a graph. The coupling model provides a quantitative method that explores interaction effects of factors using a coupling coefficient. The coupling coefficient is obtained by determining the quantitative indicators of the factors and their weights. Thereafter, the data obtained from Port of Tianjin is used to verify the proposed coupling model. The results show that the hierarchical model of the factors influencing vessel traffic flow can explain the level, structure, and interaction effect of the factors; the coupling model is efficient in analyzing factors influencing traffic volumes. The proposed method can be used for analyzing increases in vessel traffic flow in waterway transportation system.

Entropy-optimal weight constraint elicitation with additive multi-attribute utility models

NARCIS (Netherlands)

Valkenhoef , van Gert; Tervonen, Tommi

2016-01-01

We consider the elicitation of incomplete preference information for the additive utility model in terms of linear constraints on the weights. Eliciting incomplete preferences using holistic pair-wise judgments is convenient for the decision maker, but selecting the best pair-wise comparison is

On the Path to SunShot - Utility Regulatory Business Model Reforms forAddressing the Financial Impacts of Distributed Solar on Utilities

Energy Technology Data Exchange (ETDEWEB)

None, None

2016-05-01

Net-energy metering (NEM) with volumetric retail electricity pricing has enabled rapid proliferation of distributed photovoltaics (DPV) in the United States. However, this transformation is raising concerns about the potential for higher electricity rates and cost-shifting to non-solar customers, reduced utility shareholder profitability, reduced utility earnings opportunities, and inefficient resource allocation. Although DPV deployment in most utility territories remains too low to produce significant impacts, these concerns have motivated real and proposed reforms to utility regulatory and business models, with profound implications for future DPV deployment. This report explores the challenges and opportunities associated with such reforms in the context of the U.S. Department of Energy’s SunShot Initiative. As such, the report focuses on a subset of a broader range of reforms underway in the electric utility sector. Drawing on original analysis and existing literature, we analyze the significance of DPV’s financial impacts on utilities and non-solar ratepayers under current NEM rules and rate designs, the projected effects of proposed NEM and rate reforms on DPV deployment, and alternative reforms that could address utility and ratepayer concerns while supporting continued DPV growth. We categorize reforms into one or more of four conceptual strategies. Understanding how specific reforms map onto these general strategies can help decision makers identify and prioritize options for addressing specific DPV concerns that balance stakeholder interests.

Unified Model for Generation Complex Networks with Utility Preferential Attachment

International Nuclear Information System (INIS)

Wu Jianjun; Gao Ziyou; Sun Huijun

2006-01-01

In this paper, based on the utility preferential attachment, we propose a new unified model to generate different network topologies such as scale-free, small-world and random networks. Moreover, a new network structure named super scale network is found, which has monopoly characteristic in our simulation experiments. Finally, the characteristics of this new network are given.

Magnesium degradation influenced by buffering salts in concentrations typical of in vitro and in vivo models

International Nuclear Information System (INIS)

Agha, Nezha Ahmad; Feyerabend, Frank; Mihailova, Boriana; Heidrich, Stefanie; Bismayer, Ulrich; Willumeit-Römer, Regine

2016-01-01

Magnesium and its alloys have considerable potential for orthopedic applications. During the degradation process the interface between material and tissue is continuously changing. Moreover, too fast or uncontrolled degradation is detrimental for the outcome in vivo. Therefore in vitro setups utilizing physiological conditions are promising for the material/degradation analysis prior to animal experiments. The aim of this study is to elucidate the influence of inorganic salts contributing to the blood buffering capacity on degradation. Extruded pure magnesium samples were immersed under cell culture conditions for 3 and 10 days. Hank's balanced salt solution without calcium and magnesium (HBSS) plus 10% of fetal bovine serum (FBS) was used as the basic immersion medium. Additionally, different inorganic salts were added with respect to concentration in Dulbecco's modified Eagle's medium (DMEM, in vitro model) and human plasma (in vivo model) to form 12 different immersion media. Influences on the surrounding environment were observed by measuring pH and osmolality. The degradation interface was analyzed by electron-induced X-ray emission (EIXE) spectroscopy, including chemical-element mappings and electron microprobe analysis, as well as Fourier transform infrared reflection micro-spectroscopy (FTIR). - Highlights: • Influence of blood buffering salts on magnesium degradation was studied. • CaCl_2 reduced the degradation rate by Ca–PO_4 layer formation. • MgSO_4 influenced the morphology of the degradation interface. • NaHCO_3 induced the formation of MgCO_3 as a degradation product

Influence of farmyard manure on the utilization of labelled phosphorus and sulphur by brinjal (Solanum Melongena L.)

International Nuclear Information System (INIS)

Bhattacharya, Pratap; Ghosh, G.

2002-01-01

Influence of FYM, phosphorus and sulphur application on dry matter yield, fertilizer phosphorus and sulphur uptake and their utilization by brinjal (Solanum Melongena L.) fruits and leaves were studied by a pot culture experiment in a Typic ustocrept soil of IARI farm. Two levels if FYM, viz., 0 and 25 t ha -1 four levels of phosphorus viz., 0, 30, 60 and 90 kg P 2 O 5 ha -1 and three levels of sulphur viz., 0, 15 and 30 kg ha -1 were applied in all possible combinations. Maximum dry weight of fruits and leaves was reported due to combined application of 15 kg S ha -1 level. 60 kg P 2 O 5 ha -1 with FYM. Combined effect of FYM with lower level of P (30 kg P 2 O 5 ha -1 ) and 30 kg ha -1 level of S gave higher per cent utilization of applied P by fruits and leaves. On the other hand combined effect of FYM with lower dose of S (15 kg ha -1 ) and 60 kg ha -1 level of P 2 O 5 gave higher per cent utilization of applied S by brinjal. (author)

Utilizing Visual Effects Software for Efficient and Flexible Isostatic Adjustment Modelling

Science.gov (United States)

Meldgaard, A.; Nielsen, L.; Iaffaldano, G.

2017-12-01

The isostatic adjustment signal generated by transient ice sheet loading is an important indicator of past ice sheet extent and the rheological constitution of the interior of the Earth. Finite element modelling has proved to be a very useful tool in these studies. We present a simple numerical model for 3D visco elastic Earth deformation and a new approach to the design of such models utilizing visual effects software designed for the film and game industry. The software package Houdini offers an assortment of optimized tools and libraries which greatly facilitate the creation of efficient numerical algorithms. In particular, we make use of Houdini's procedural work flow, the SIMD programming language VEX, Houdini's sparse matrix creation and inversion libraries, an inbuilt tetrahedralizer for grid creation, and the user interface, which facilitates effortless manipulation of 3D geometry. We mitigate many of the time consuming steps associated with the authoring of efficient algorithms from scratch while still keeping the flexibility that may be lost with the use of commercial dedicated finite element programs. We test the efficiency of the algorithm by comparing simulation times with off-the-shelf solutions from the Abaqus software package. The algorithm is tailored for the study of local isostatic adjustment patterns, in close vicinity to present ice sheet margins. In particular, we wish to examine possible causes for the considerable spatial differences in the uplift magnitude which are apparent from field observations in these areas. Such features, with spatial scales of tens of kilometres, are not resolvable with current global isostatic adjustment models, and may require the inclusion of local topographic features. We use the presented algorithm to study a near field area where field observations are abundant, namely, Disko Bay in West Greenland with the intention of constraining Earth parameters and ice thickness. In addition, we assess how local

Maternal and child health and family planning service utilization in Guatemala: implications for service integration.

Science.gov (United States)

Seiber, Eric E; Hotchkiss, David R; Rous, Jeffrey J; Berruti, Andrés A

2005-07-01

Does the utilization of modern maternal and child health (MCH) services influence subsequent contraceptive use? The answer to this question holds important implications for proposals which advocate MCH and family planning service integration. This study uses data from the 1995/6 Guatemalan Demographic Health Survey and its 1997 Providers Census to test the influence of MCH service utilization on individual contraceptive use decisions. We use a full-information maximum likelihood regression model to control for unobserved heterogeneity. This model produces estimates of the MCH effect, independent of individual women's underlying receptiveness to MCH and contraceptive messages. The results of the analysis indicate that the intensity of MCH service use is indeed positively associated with subsequent contraceptive use among Guatemalan women, even after controlling for observed and unobserved individual- , household- , and community-level factors. Importantly, this finding holds even after controlling for the unobserved factors that 'predispose' some women to use both types of services. Simulations reveal that, for these Guatemalan women, key determinants such as age and primary schooling work indirectly through MCH service use to increase contraceptive utilization.

The influence of feeding GMO-peas on growth of animal models

Directory of Open Access Journals (Sweden)

Petr Mares

2014-02-01

Full Text Available Introduction of genetically modified (GM food or feed into the commercial sale represents a very complicated process. One of the most important steps in approval process is the evaluation of all risks on the health status of people and animal models. Within our project the genetically modified peas was breeded that showed significant resistance against Pea seed-borne mosaic virus and Pea enation mosaic virus. Preclinical studies have been conducted to found out the effect of GMO peas on animals - rats of outbreeding line Wistar. In a total, 24 male, specific pathogen free Wistar rats were used in the experiment. At the beginning of the experiment, the animals were 28 days old. The three experimental groups with 8 individuals were created. The first group of rats was fed with GMO peas, the second group of rats consumed mix of pea cultivar Raman and the third group was control without pea addition (wheat and soya were used instead of pea. In the present study we focused our attention on health, growth and utility features of rats fed with GM pea. All characteristic were observed during the experiment lasting 35 days. Consumed feed was weighted daily and the weight of the animals was measured every seven days. The average values were compared within the groups. The aim of the experiment was to verify if resistant lines of pea influence the weight growth of animal models. The results of our experiment showed that even a high concentration (30% of GM pea did not influence growth rate of rats to compare with both rats fed with pea of Raman cultivar and control group. We did not observe any health problems of animal models during the experiment.

Utilizing Data Mining for Predictive Modeling of Colorectal Cancer using Electronic Medical Records

NARCIS (Netherlands)

Hoogendoorn, M.; Moons, L.G.; Numans, M.E.; Sips, R.J.

2014-01-01

Colorectal cancer (CRC) is a relatively common cause of death around the globe. Predictive models for the development of CRC could be highly valuable and could facilitate an early diagnosis and increased survival rates. Currently available predictive models are improving, but do not fully utilize

Utilizing Gaze Behavior for Inferring Task Transitions Using Abstract Hidden Markov Models

Directory of Open Access Journals (Sweden)

Daniel Fernando Tello Gamarra

2016-12-01

Full Text Available We demonstrate an improved method for utilizing observed gaze behavior and show that it is useful in inferring hand movement intent during goal directed tasks. The task dynamics and the relationship between hand and gaze behavior are learned using an Abstract Hidden Markov Model (AHMM. We show that the predicted hand movement transitions occur consistently earlier in AHMM models with gaze than those models that do not include gaze observations.

Public Utility Regulatory Policies Act of 1978: Natural Gas Rate Design Study

Energy Technology Data Exchange (ETDEWEB)

None

1980-05-01

First, the comments on May 3, 1979 Notice of Inquiry of DOE relating to the Gas Utility Rate Design Study Required by Section 306 of PURPA are presented. Then, comments on the following are included: (1) ICF Gas Utility Model, Gas Utility Model Data Outputs, Scenario Design; (2) Interim Model Development Report with Example Case Illustrations; (3) Interim Report on Simulation of Seven Rate Forms; (4) Methodology for Assessing the Impacts of Alternative Rate Designs on Industrial Energy Use; (5) Simulation of Marginal-Cost-Based Natural Gas Rates; and (6) Preliminary Discussion Draft of the Gas Rate Design Study. Among the most frequent comments expressed were the following: (a) the public should be given the opportunity to review the final report prior to its submission to Congress; (b) results based on a single computer model of only four hypothetical utility situations cannot be used for policy-making purposes for individual companies or the entire gas industry; (c) there has been an unobjective treatment of traditional and economic cost rate structures; the practical difficulties and potential detrimental consequences of economic cost rates are not fully disclosed; and (d) it is erroneous to assume that end users, particularly residential customers, are influenced by price signals in the rate structure, as opposed to the total bill.

Hierarchical and coupling model of factors influencing vessel traffic flow.

Directory of Open Access Journals (Sweden)

Zhao Liu

Full Text Available Understanding the characteristics of vessel traffic flow is crucial in maintaining navigation safety, efficiency, and overall waterway transportation management. Factors influencing vessel traffic flow possess diverse features such as hierarchy, uncertainty, nonlinearity, complexity, and interdependency. To reveal the impact mechanism of the factors influencing vessel traffic flow, a hierarchical model and a coupling model are proposed in this study based on the interpretative structural modeling method. The hierarchical model explains the hierarchies and relationships of the factors using a graph. The coupling model provides a quantitative method that explores interaction effects of factors using a coupling coefficient. The coupling coefficient is obtained by determining the quantitative indicators of the factors and their weights. Thereafter, the data obtained from Port of Tianjin is used to verify the proposed coupling model. The results show that the hierarchical model of the factors influencing vessel traffic flow can explain the level, structure, and interaction effect of the factors; the coupling model is efficient in analyzing factors influencing traffic volumes. The proposed method can be used for analyzing increases in vessel traffic flow in waterway transportation system.

Utility Computing: Reality and Beyond

Science.gov (United States)

Ivanov, Ivan I.

Utility Computing is not a new concept. It involves organizing and providing a wide range of computing-related services as public utilities. Much like water, gas, electricity and telecommunications, the concept of computing as public utility was announced in 1955. Utility Computing remained a concept for near 50 years. Now some models and forms of Utility Computing are emerging such as storage and server virtualization, grid computing, and automated provisioning. Recent trends in Utility Computing as a complex technology involve business procedures that could profoundly transform the nature of companies' IT services, organizational IT strategies and technology infrastructure, and business models. In the ultimate Utility Computing models, organizations will be able to acquire as much IT services as they need, whenever and wherever they need them. Based on networked businesses and new secure online applications, Utility Computing would facilitate "agility-integration" of IT resources and services within and between virtual companies. With the application of Utility Computing there could be concealment of the complexity of IT, reduction of operational expenses, and converting of IT costs to variable `on-demand' services. How far should technology, business and society go to adopt Utility Computing forms, modes and models?

Animal Models Utilized in HTLV-1 Research

Directory of Open Access Journals (Sweden)

Amanda R. Panfil

2013-01-01

Full Text Available Since the isolation and discovery of human T-cell leukemia virus type 1 (HTLV-1 over 30 years ago, researchers have utilized animal models to study HTLV-1 transmission, viral persistence, virus-elicited immune responses, and HTLV-1-associated disease development (ATL, HAM/TSP. Non-human primates, rabbits, rats, and mice have all been used to help understand HTLV-1 biology and disease progression. Non-human primates offer a model system that is phylogenetically similar to humans for examining viral persistence. Viral transmission, persistence, and immune responses have been widely studied using New Zealand White rabbits. The advent of molecular clones of HTLV-1 has offered the opportunity to assess the importance of various viral genes in rabbits, non-human primates, and mice. Additionally, over-expression of viral genes using transgenic mice has helped uncover the importance of Tax and Hbz in the induction of lymphoma and other lymphocyte-mediated diseases. HTLV-1 inoculation of certain strains of rats results in histopathological features and clinical symptoms similar to that of humans with HAM/TSP. Transplantation of certain types of ATL cell lines in immunocompromised mice results in lymphoma. Recently, “humanized” mice have been used to model ATL development for the first time. Not all HTLV-1 animal models develop disease and those that do vary in consistency depending on the type of monkey, strain of rat, or even type of ATL cell line used. However, the progress made using animal models cannot be understated as it has led to insights into the mechanisms regulating viral replication, viral persistence, disease development, and, most importantly, model systems to test disease treatments.

Influence of Temperature on Intra- and Interspecific Resource Utilization within a Community of Lepidopteran Maize Stemborers.

Science.gov (United States)

Ntiri, Eric Siaw; Calatayud, Paul-Andre; Van Den Berg, Johnnie; Schulthess, Fritz; Le Ru, Bruno Pierre

2016-01-01

Competition or facilitation characterises intra- and interspecific interactions within communities of species that utilize the same resources. Temperature is an important factor influencing those interactions and eventual outcomes. The noctuid stemborers, Busseola fusca and Sesamia calamistis and the crambid Chilo partellus attack maize in sub-Saharan Africa. They often occur as a community of interacting species in the same field and plant at all elevations. The influence of temperature on the intra- and interspecific interactions among larvae of these species, was studied using potted maize plants exposed to varying temperatures in a greenhouse and artificial stems kept at different constant temperatures (15°C, 20°C, 25°C and 30°C) in an incubator. The experiments involved single- and multi-species infestation treatments. Survival and relative growth rates of each species were assessed. Both intra- and interspecific competitions were observed among all three species. Interspecific competition was stronger between the noctuids and the crambid than between the two noctuids. Temperature affected both survival and relative growth rates of the three species. Particularly at high temperatures, C. partellus was superior in interspecific interactions shown by higher larval survival and relative growth rates. In contrast, low temperatures favoured survival of B. fusca and S. calamistis but affected the relative growth rates of all three species. Survival and relative growth rates of B. fusca and S. calamistis in interspecific interactions did not differ significantly across temperatures. Temperature increase caused by future climate change is likely to confer an advantage on C. partellus over the noctuids in the utilization of resources (crops).

Animal models of GM2 gangliosidosis: utility and limitations

Science.gov (United States)

Lawson, Cheryl A; Martin, Douglas R

2016-01-01

GM2 gangliosidosis, a subset of lysosomal storage disorders, is caused by a deficiency of the glycohydrolase, β-N-acetylhexosaminidase, and includes the closely related Tay–Sachs and Sandhoff diseases. The enzyme deficiency prevents the normal, stepwise degradation of ganglioside, which accumulates unchecked within the cellular lysosome, particularly in neurons. As a result, individuals with GM2 gangliosidosis experience progressive neurological diseases including motor deficits, progressive weakness and hypotonia, decreased responsiveness, vision deterioration, and seizures. Mice and cats are well-established animal models for Sandhoff disease, whereas Jacob sheep are the only known laboratory animal model of Tay–Sachs disease to exhibit clinical symptoms. Since the human diseases are relatively rare, animal models are indispensable tools for further study of pathogenesis and for development of potential treatments. Though no effective treatments for gangliosidoses currently exist, animal models have been used to test promising experimental therapies. Herein, the utility and limitations of gangliosidosis animal models and how they have contributed to the development of potential new treatments are described. PMID:27499644

Modeling the development and utilization of bioenergy and exploring the environmental economic benefits

International Nuclear Information System (INIS)

Song, Junnian; Yang, Wei; Higano, Yoshiro; Wang, Xian’en

2015-01-01

Highlights: • A complete bioenergy flow is schemed to industrialize bioenergy utilization. • An input–output optimization simulation model is developed. • Energy supply and demand and bioenergy industries’ development are optimized. • Carbon tax and subsidies are endogenously derived by the model. • Environmental economic benefits of bioenergy utilization are explored dynamically. - Abstract: This paper outlines a complete bioenergy flow incorporating bioresource procurement, feedstock supply, conversion technologies and energy consumption to industrialize the development and utilization of bioenergy. An input–output optimization simulation model is developed to introduce bioenergy industries into the regional socioeconomy and energy production and consumption system and dynamically explore the economic, energy and environmental benefits. 16-term simulation from 2010 to 2025 is performed in scenarios preset based on bioenergy industries, carbon tax-subsidization policy and distinct levels of greenhouse gas emission constraints. An empirical study is conducted to validate and apply the model. In the optimal scenario, both industrial development and energy supply and demand are optimized contributing to a 8.41% average gross regional product growth rate and a 39.9% reduction in accumulative greenhouse gas emission compared with the base scenario. By 2025 the consumption ratio of bioenergy in total primary energy could be increased from 0.5% to 8.2%. Energy self-sufficiency rate could be increased from 57.7% to 77.9%. A dynamic carbon tax rate and the extent to which bioenergy industrial development could be promoted are also elaborated. Regional economic development and greenhouse gas mitigation can be potentially promoted simultaneously by bioenergy utilization and a proper greenhouse gas emission constraint. The methodology presented is capable of introducing new industries or policies related to energy planning and detecting the best tradeoffs of

Modelling the factors influencing the selection of the construction equipment for Indian construction organizations

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S.V.S. Raja Prasad

2016-09-01

Full Text Available The contribution of Indian construction sector to the GDP is approximately 10%. Under new government policy, it is anticipated that $1000 Billion share for exclusively infrastructure segment would be completed within the next few years. Construction sector in developing country like India still depends on labor and the practice of mechanization, adopting to use of versatile construction equipment is not in force. The need for implementing new technologies and automation is essential to improve the quality, safety and efficiency. To meet the challenges ahead the construction, organizations should focus on utilization of machinery/equipment to achieve desirable results. Modern construction is characterized by the increase in utilization of equipment to accomplish numerous construction activities. The selection of construction equipment often affects the required amount of time and effort. It is therefore important for managements of construction organizations and planners to be familiar with the features of various types of equipment commonly used in construction activities. The selection of appropriate equipment is a crucial decision making process as it involves huge capital investment. The purpose of the present study is to develop a model pertaining to the factors influencing the selection of construction equipment by using interpretive structural modelling and the results indicate that productivity and safety are the important factors in selection of equipment in Indian construction organizations.

Optimal urban water conservation strategies considering embedded energy: coupling end-use and utility water-energy models.

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Escriva-Bou, A.; Lund, J. R.; Pulido-Velazquez, M.; Spang, E. S.; Loge, F. J.

2014-12-01

Although most freshwater resources are used in agriculture, a greater amount of energy is consumed per unit of water supply for urban areas. Therefore, efforts to reduce the carbon footprint of water in cities, including the energy embedded within household uses, can be an order of magnitude larger than for other water uses. This characteristic of urban water systems creates a promising opportunity to reduce global greenhouse gas emissions, particularly given rapidly growing urbanization worldwide. Based on a previous Water-Energy-CO2 emissions model for household water end uses, this research introduces a probabilistic two-stage optimization model considering technical and behavioral decision variables to obtain the most economical strategies to minimize household water and water-related energy bills given both water and energy price shocks. Results show that adoption rates to reduce energy intensive appliances increase significantly, resulting in an overall 20% growth in indoor water conservation if household dwellers include the energy cost of their water use. To analyze the consequences on a utility-scale, we develop an hourly water-energy model based on data from East Bay Municipal Utility District in California, including the residential consumption, obtaining that water end uses accounts for roughly 90% of total water-related energy, but the 10% that is managed by the utility is worth over 12 million annually. Once the entire end-use + utility model is completed, several demand-side management conservation strategies were simulated for the city of San Ramon. In this smaller water district, roughly 5% of total EBMUD water use, we found that the optimal household strategies can reduce total GHG emissions by 4% and utility's energy cost over 70,000/yr. Especially interesting from the utility perspective could be the "smoothing" of water use peaks by avoiding daytime irrigation that among other benefits might reduce utility energy costs by 0.5% according to our

A Dynamic Model of Adolescent Friendship Networks, Parental Influences, and Smoking

Science.gov (United States)

Wang, Cheng; Butts, Carter T.; Jose, Rupa; Timberlake, David S.; Hipp, John R.

2015-01-01

Peer and parental influences are critical socializing forces shaping adolescent development, including the co-evolving processes of friendship tie choice and adolescent smoking. This study examines aspects of adolescent friendship networks and dimensions of parental influences shaping friendship tie choice and smoking, including parental support, parental monitoring, and the parental home smoking environment using a Stochastic Actor-Based model. With data from three waves of the National Longitudinal Study of Adolescent Health of youth in grades 7 through 12, including the In-School Survey, the first wave of the In-Home survey occurring 6 months later, and the second wave of the In-Home survey, occurring one year later, this study utilizes two samples based on the social network data collected in the longitudinal saturated sample of sixteen schools. One consists of twelve small schools (n = 1,284, 50.93 % female), and the other of one large school (n = 976, 48.46 % female). The findings indicated that reciprocity, choosing a friend of a friend as a friend, and smoking similarity increased friendship tie choice behavior, as did parental support. Parental monitoring interacted with choosing friends who smoke in affecting friendship tie choice, as at higher levels of parental monitoring, youth chose fewer friends that smoked. A parental home smoking context conducive to smoking decreased the number of friends adolescents chose. Peer influence and a parental home smoking environment conducive to smoking increased smoking, while parental monitoring decreased it in the large school. Overall, peer and parental factors affected the coevolution of friendship tie choice and smoking, directly and multiplicatively. PMID:25239115

The Joint Venture Model of Knowledge Utilization: a guide for change in nursing.

Science.gov (United States)

Edgar, Linda; Herbert, Rosemary; Lambert, Sylvie; MacDonald, Jo-Ann; Dubois, Sylvie; Latimer, Margot

2006-05-01

Knowledge utilization (KU) is an essential component of today's nursing practice and healthcare system. Despite advances in knowledge generation, the gap in knowledge transfer from research to practice continues. KU models have moved beyond factors affecting the individual nurse to a broader perspective that includes the practice environment and the socio-political context. This paper proposes one such theoretical model the Joint Venture Model of Knowledge Utilization (JVMKU). Key components of the JVMKU that emerged from an extensive multidisciplinary review of the literature include leadership, emotional intelligence, person, message, empowered workplace and the socio-political environment. The model has a broad and practical application and is not specific to one type of KU or one population. This paper provides a description of the JVMKU, its development and suggested uses at both local and organizational levels. Nurses in both leadership and point-of-care positions will recognize the concepts identified and will be able to apply this model for KU in their own workplace for assessment of areas requiring strengthening and support.

Coupled 1D-2D hydrodynamic inundation model for sewer overflow: Influence of modeling parameters

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Adeniyi Ganiyu Adeogun

2015-10-01

Full Text Available This paper presents outcome of our investigation on the influence of modeling parameters on 1D-2D hydrodynamic inundation model for sewer overflow, developed through coupling of an existing 1D sewer network model (SWMM and 2D inundation model (BREZO. The 1D-2D hydrodynamic model was developed for the purpose of examining flood incidence due to surcharged water on overland surface. The investigation was carried out by performing sensitivity analysis on the developed model. For the sensitivity analysis, modeling parameters, such as mesh resolution Digital Elevation Model (DEM resolution and roughness were considered. The outcome of the study shows the model is sensitive to changes in these parameters. The performance of the model is significantly influenced, by the Manning's friction value, the DEM resolution and the area of the triangular mesh. Also, changes in the aforementioned modeling parameters influence the Flood characteristics, such as the inundation extent, the flow depth and the velocity across the model domain. Keywords: Inundation, DEM, Sensitivity analysis, Model coupling, Flooding

Modeling social norms and social influence in obesity.

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Shoham, David A; Hammond, Ross; Rahmandad, Hazhir; Wang, Youfa; Hovmand, Peter

2015-03-01

The worldwide increase in obesity has led to changes in what is considered "normal" or desirable weight, especially among populations at higher risk. We show that social norms are key to understanding the obesity epidemic, and that social influence mechanisms provide a necessary linkage between individual obesity-related behaviors and population-level characteristics. Because influence mechanisms cannot be directly observed, we show how three complex systems tools may be used to gain insights into observed epidemiologic patterns: social network analysis, agent-based modeling, and systems dynamics modeling. However, simulation and mathematical modeling approaches raise questions regarding acceptance of findings, especially among policy makers. Nevertheless, we point to modeling successes in obesity and other fields, including the NIH-funded National Collaborative on Childhood Obesity Research (NCCOR) Envison project.

Modeling the influence of limestone addition on cement hydration

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Ashraf Ragab Mohamed

2015-03-01

Full Text Available This paper addresses the influence of using Portland limestone cement “PLC” on cement hydration by characterization of its microstructure development. The European Standard EN 197-1:2011 and Egyptian specification ESS 4756-1/2009 permit the cement to contain up to 20% ground limestone. The computational tools assist in better understanding the influence of limestone additions on cement hydration and microstructure development to facilitate the acceptance of these more economical and ecological materials. μic model has been developed to enable the modeling of microstructural evolution of cementitious materials. In this research μic model is used to simulate both the influence of limestone as fine filler, providing additional surfaces for the nucleation and growth of hydration products. Limestone powder also reacts relatively slow with hydrating cement to form monocarboaluminate (AFmc phase, similar to the mono-sulfoaluminate (AFm phase formed in ordinary Portland cement. The model results reveal that limestone cement has accelerated cement hydration rate, previous experimental results and computer model “cemhyd3d” are used to validate this model.

Biomimetic peptide-based models of [FeFe]-hydrogenases: utilization of phosphine-containing peptides

Energy Technology Data Exchange (ETDEWEB)

Roy, Souvik [Department of Chemistry and Biochemistry; Arizona State University; Tempe, USA; Nguyen, Thuy-Ai D. [Department of Chemistry and Biochemistry; Arizona State University; Tempe, USA; Gan, Lu [Department of Chemistry and Biochemistry; Arizona State University; Tempe, USA; Jones, Anne K. [Department of Chemistry and Biochemistry; Arizona State University; Tempe, USA

2015-01-01

Peptide based models for [FeFe]-hydrogenase were synthesized utilizing unnatural phosphine-amino acids and their electrocatalytic properties were investigated in mixed aqueous-organic solvents.

Multiplicative utility and the influence of environmental care on the short-term economic growth rate

NARCIS (Netherlands)

Vellinga, N.

1999-01-01

This paper addresses the issue of determining under what circumstances economic growth rates are influenced by environmental care. The models used are extensions of the model by Lucas. The extensions consist of output leading to pollution and there is a stock of nature. There is also abatement to

The Utility of Cognitive Plausibility in Language Acquisition Modeling: Evidence From Word Segmentation.

Science.gov (United States)

Phillips, Lawrence; Pearl, Lisa

2015-11-01

The informativity of a computational model of language acquisition is directly related to how closely it approximates the actual acquisition task, sometimes referred to as the model's cognitive plausibility. We suggest that though every computational model necessarily idealizes the modeled task, an informative language acquisition model can aim to be cognitively plausible in multiple ways. We discuss these cognitive plausibility checkpoints generally and then apply them to a case study in word segmentation, investigating a promising Bayesian segmentation strategy. We incorporate cognitive plausibility by using an age-appropriate unit of perceptual representation, evaluating the model output in terms of its utility, and incorporating cognitive constraints into the inference process. Our more cognitively plausible model shows a beneficial effect of cognitive constraints on segmentation performance. One interpretation of this effect is as a synergy between the naive theories of language structure that infants may have and the cognitive constraints that limit the fidelity of their inference processes, where less accurate inference approximations are better when the underlying assumptions about how words are generated are less accurate. More generally, these results highlight the utility of incorporating cognitive plausibility more fully into computational models of language acquisition. Copyright © 2015 Cognitive Science Society, Inc.

Influence of mycotoxins on protein and amino acid utilization.

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Smith, T K

1982-09-01

The interrelationships between mycotoxins and the utilization of dietary protein are reviewed. Acute aflatoxicosis is characterized by reduced growth and fatty infiltration of the liver. Studies with poultry, swine, and monkeys have shown that supplements of dietary protein beyond normal requirements can overcome these conditions. High-protein diets, however, have been shown to promote hepatoma characteristic of chronic aflatoxicosis in rats. Aflatoxin interferes with utilization of dietary protein by inhibiting synthesis of DNA, RNA, and protein. High-protein diets promote the metabolism of aflatoxin by the hepatic microsomal drug-metabolizing enzyme system. The Fusarium mycotoxin zearalenone increases membrane permeability and promotes uterine synthesis of DNA, RNA, and protein. Supplements of dietary protein overcome growth reduction due to zearalenone and reduce the metabolic half-life of the toxin by promoting urinary excretion of free, unmetabolized zearalenone in the rat. The trichothecene mycotoxins disrupt normal protein metabolism by inactivating the ribosomal cycle. Protein supplements appear to have little effect on trichothecene mycotoxicoses. Most mycotoxins impair utilization of dietary protein. The effectiveness of protein supplements in overcoming mycotoxicoses will depend on the mycotoxin in question.

Modelling categorical data to identify factors influencing concern for the natural environment in Iran.

Science.gov (United States)

Parizanganeh, Abdolhossein; Lakhan, V Chris; Yazdani, Mahmoud; Ahmad, Sajid R

2011-10-01

Loglinear modelling techniques were used to identify the interactions and interrelationships underlying categorical environmental concern data collected from 9062 respondents in Iran. After fitting various loglinear models to the data, the most parsimonious model highlighted that a combination of interacting factors, namely educational attainment, age, gender, and residential location were responsible for influencing personal concern for the environment. Although high educational attainment had a close correspondence with high concern for the environment the loglinear results, when visualized with a geographical information system, demonstrated wide spatial variations in educational attainment and concern for the environment. Nearly two-thirds of the respondents were not highly educated, and were therefore not highly concerned for the environment. The finding that both rural and urban male and female respondents in the 15-24 years age category, with 10-12 years of education, had the strongest interaction with personal concern for the environment could be beneficial for policy planners to utilize education as the primary instrument to enhance environmental governance and prospects for sustainable development. Copyright © 2011 Elsevier Ltd. All rights reserved.

High-utilizing Crohn's disease patients under psychosomatic therapy*

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Jantschek Günther

2008-10-01

Full Text Available Abstract Objective Few studies have been published on health care utilization in Crohn's disease and the influence of psychological treatment on high utilizers. Methods The present sub study of a prospective multi center investigation conducted in 87 of 488 consecutive Crohn's disease (CD patients was designed to investigate the influence of the course of Crohn's disease on health care utilization (hospital days (HD and sick leave days (SLD collected by German insurance companies and to examine the conditions of high-utilizing patients. Predictors of health care utilization should be selected. Based on a standardized somatic treatment, high health care utilizing patients of the psychotherapy and control groups should be compared before and after a one-year treatment. Results Multivariate regression analysis identified disease activity at randomization as an important predictor of the clinical course (r2 = 0.28, p 2 = 0.15, p = 0.09. The patients' level of anxiety, depression and lack of control at randomization predicted their health-related quality of life at the end of the study (r2 = 0.51, p 2 = 0.22, p Among high utilizers, a significantly greater drop in HD (p Conclusion The course of Crohn's disease is influenced by psychological as well as somatic factors; especially depression seems important here. A significant drop of health care utilization demonstrates the benefit of psychological treatment in the subgroup of high-utilizing CD patients. Further studies are needed to replicate the findings of the clinical outcome in this CD subgroup.

Modeling of reactive chemical transport of leachates from a utility fly-ash disposal site

International Nuclear Information System (INIS)

Apps, J.A.; Zhu, M.; Kitanidis, P.K.; Freyberg, D.L.; Ronan, A.D.; Itakagi, S.

1991-04-01

Fly ash from fossil-fuel power plants is commonly slurried and pumped to disposal sites. The utility industry is interested in finding out whether any hazardous constituents might leach from the accumulated fly ash and contaminate ground and surface waters. To evaluate the significance of this problem, a representative site was selected for modeling. FASTCHEM, a computer code developed for the Electric Power Research Institute, was utilized for the simulation of the transport and fate of the fly-ash leachate. The chemical evolution of the leachate was modeled as it migrated along streamtubes defined by the flow model. The modeling predicts that most of the leachate seeps through the dam confining the ash pond. With the exception of ferrous, manganous, sulfate and small amounts of nickel ions, all other dissolved constituents are predicted to discharge at environmentally acceptable concentrations

High-gravity brewing utilizing factorial design

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R. B. Almeida

2000-06-01

Full Text Available A number of factors can influence the behavior of yeast during fermentation. Some of these factors (initial wort concentration, initial pH and percentage of corn syrup in the composition of the wort were studied in order to determine their influence on the productivity of fermentation. Fermentations were carried out at 25ºC utilizing a 2³ factorial design of these factors. The results showed that the percentage of corn syrup had no influence on process productivity, whereas initial pH and especially initial wort concentration did. It can be concluded that using pH and initial wort concentration values higher than those utilized in this work (5.5 and 20ºP, respectively will result in a higher productivity.

Magnesium degradation influenced by buffering salts in concentrations typical of in vitro and in vivo models.

Science.gov (United States)

Agha, Nezha Ahmad; Feyerabend, Frank; Mihailova, Boriana; Heidrich, Stefanie; Bismayer, Ulrich; Willumeit-Römer, Regine

2016-01-01

Magnesium and its alloys have considerable potential for orthopedic applications. During the degradation process the interface between material and tissue is continuously changing. Moreover, too fast or uncontrolled degradation is detrimental for the outcome in vivo. Therefore in vitro setups utilizing physiological conditions are promising for the material/degradation analysis prior to animal experiments. The aim of this study is to elucidate the influence of inorganic salts contributing to the blood buffering capacity on degradation. Extruded pure magnesium samples were immersed under cell culture conditions for 3 and 10 days. Hank's balanced salt solution without calcium and magnesium (HBSS) plus 10% of fetal bovine serum (FBS) was used as the basic immersion medium. Additionally, different inorganic salts were added with respect to concentration in Dulbecco's modified Eagle's medium (DMEM, in vitro model) and human plasma (in vivo model) to form 12 different immersion media. Influences on the surrounding environment were observed by measuring pH and osmolality. The degradation interface was analyzed by electron-induced X-ray emission (EIXE) spectroscopy, including chemical-element mappings and electron microprobe analysis, as well as Fourier transform infrared reflection micro-spectroscopy (FTIR). Copyright © 2015 Elsevier B.V. All rights reserved.

Key data elements for use in cost-utility modeling of biological treatments for rheumatoid arthritis.

Science.gov (United States)

Ganz, Michael L; Hansen, Brian Bekker; Valencia, Xavier; Strandberg-Larsen, Martin

2015-05-01

Economic evaluation is becoming more common and important as new biologic therapies for rheumatoid arthritis (RA) are developed. While much has been published about how to design cost-utility models for RA to conduct these evaluations, less has been written about the sources of data populating those models. The goal is to review the literature and to provide recommendations for future data collection efforts. This study reviewed RA cost-utility models published between January 2006 and February 2014 focusing on five key sources of data (health-related quality-of-life and utility, clinical outcomes, disease progression, course of treatment, and healthcare resource use and costs). It provided recommendations for collecting the appropriate data during clinical and other studies to support modeling of biologic treatments for RA. Twenty-four publications met the selection criteria. Almost all used two steps to convert clinical outcomes data to utilities rather than more direct methods; most did not use clinical outcomes measures that captured absolute levels of disease activity and physical functioning; one-third of them, in contrast with clinical reality, assumed zero disease progression for biologic-treated patients; little more than half evaluated courses of treatment reflecting guideline-based or actual clinical care; and healthcare resource use and cost data were often incomplete. Based on these findings, it is recommended that future studies collect clinical outcomes and health-related quality-of-life data using appropriate instruments that can convert directly to utilities; collect data on actual disease progression; be designed to capture real-world courses of treatment; and collect detailed data on a wide range of healthcare resources and costs.

A Study of How the Watts-Strogatz Model Relates to an Economic System’s Utility

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Lunhan Luo

2014-01-01

Full Text Available Watts-Strogatz model is a main mechanism to construct the small-world networks. It is widely used in the simulations of small-world featured systems including economic system. Formally, the model contains a parameters set including three variables representing group size, number of neighbors, and rewiring probability. This paper discusses how the parameters set relates to the economic system performance which is utility growth rate. In conclusion, it is found that, regardless of the group size and rewiring probability, 2 to 18 neighbors can help the economic system reach the highest utility growth rate. Furthermore, given the range of neighbors and group size of a Watts-Strogatz model based system, the range of its edges can be calculated too. By examining the containment relationship between that range and the edge number of an actual equal-size economic system, we could know whether the system structure has redundant edges or can achieve the highest utility growth ratio.

Magnesium degradation influenced by buffering salts in concentrations typical of in vitro and in vivo models

Energy Technology Data Exchange (ETDEWEB)

Agha, Nezha Ahmad; Feyerabend, Frank [Helmholtz-Zentrum Geesthacht, Institute of Material Research, Division of Metallic Biomaterials, Max-Planck-Str. 1, 21502 Geesthacht (Germany); Mihailova, Boriana; Heidrich, Stefanie; Bismayer, Ulrich [University of Hamburg, Department of Earth Sciences, Grindelallee 48, 20146 Hamburg (Germany); Willumeit-Römer, Regine [Helmholtz-Zentrum Geesthacht, Institute of Material Research, Division of Metallic Biomaterials, Max-Planck-Str. 1, 21502 Geesthacht (Germany)

2016-01-01

Magnesium and its alloys have considerable potential for orthopedic applications. During the degradation process the interface between material and tissue is continuously changing. Moreover, too fast or uncontrolled degradation is detrimental for the outcome in vivo. Therefore in vitro setups utilizing physiological conditions are promising for the material/degradation analysis prior to animal experiments. The aim of this study is to elucidate the influence of inorganic salts contributing to the blood buffering capacity on degradation. Extruded pure magnesium samples were immersed under cell culture conditions for 3 and 10 days. Hank's balanced salt solution without calcium and magnesium (HBSS) plus 10% of fetal bovine serum (FBS) was used as the basic immersion medium. Additionally, different inorganic salts were added with respect to concentration in Dulbecco's modified Eagle's medium (DMEM, in vitro model) and human plasma (in vivo model) to form 12 different immersion media. Influences on the surrounding environment were observed by measuring pH and osmolality. The degradation interface was analyzed by electron-induced X-ray emission (EIXE) spectroscopy, including chemical-element mappings and electron microprobe analysis, as well as Fourier transform infrared reflection micro-spectroscopy (FTIR). - Highlights: • Influence of blood buffering salts on magnesium degradation was studied. • CaCl{sub 2} reduced the degradation rate by Ca–PO{sub 4} layer formation. • MgSO{sub 4} influenced the morphology of the degradation interface. • NaHCO{sub 3} induced the formation of MgCO{sub 3} as a degradation product.

Influence maximization in social networks under an independent cascade-based model

Science.gov (United States)

Wang, Qiyao; Jin, Yuehui; Lin, Zhen; Cheng, Shiduan; Yang, Tan

2016-02-01

The rapid growth of online social networks is important for viral marketing. Influence maximization refers to the process of finding influential users who make the most of information or product adoption. An independent cascade-based model for influence maximization, called IMIC-OC, was proposed to calculate positive influence. We assumed that influential users spread positive opinions. At the beginning, users held positive or negative opinions as their initial opinions. When more users became involved in the discussions, users balanced their own opinions and those of their neighbors. The number of users who did not change positive opinions was used to determine positive influence. Corresponding influential users who had maximum positive influence were then obtained. Experiments were conducted on three real networks, namely, Facebook, HEP-PH and Epinions, to calculate maximum positive influence based on the IMIC-OC model and two other baseline methods. The proposed model resulted in larger positive influence, thus indicating better performance compared with the baseline methods.

Factors Influencing Antenatal Care Service Utilization Among Pregnant Women in Pastoralist Community in Menit-Shasha District, Ethiopia

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Teka Senay Wolderufael

2018-05-01

Full Text Available Background: The utilization of antenatal care from a trained provider is important to monitor the pregnancy and to reduce morbidity and mortality risks for the mother and child during pregnancy and delivery. Methods: A communitybased cross-sectional study was conducted in Menit-Shasha Woreda Bench Maji zone, southwest Ethiopia. Quantitative and qualitative methods were employed for data collection. Simple random sampling technique was used to select the study localities and subjects (mothers those who gave birth in the last five years prior the survey period. Quantitative data was analyzed using SPSS for windows version 16 and qualitative data was narrated thematically and triangulated with quantitative findings. Results: A total of 639 women participated in the quantitative survey with respondent rate of 98.15%. The proportion of women who received antenatal care for their last pregnancy was only 15.5% (99. Out of this 10.3% received two to three visits. The main reasons mentioned for not attending antenatal care were lack of awareness, 490 (76.7% and absence of health problems during last pregnancy, 469 (73.4%. Multivariate analysis showed that there was significant association between antenatal care service utilization and ANC visit by health extension workers (AOR=4.042, 95%CI: 1.982, 8.244, and residential distance (AOR=4.214, 95% CI 1.025, 17.325, respectively (p<0.05. Conclusion: This study revealed low antenatal care service utilization. From those who had antenatal care service, the majority started it lately and received incomplete service. The utilization of antenatal care was influenced by home visit by health extension workers and by residential distance from health post. Thus it was recommended to strengthen home visit for improving community awareness on the importance of ANC utilization.

Rigorously testing multialternative decision field theory against random utility models.

Science.gov (United States)

Berkowitsch, Nicolas A J; Scheibehenne, Benjamin; Rieskamp, Jörg

2014-06-01

Cognitive models of decision making aim to explain the process underlying observed choices. Here, we test a sequential sampling model of decision making, multialternative decision field theory (MDFT; Roe, Busemeyer, & Townsend, 2001), on empirical grounds and compare it against 2 established random utility models of choice: the probit and the logit model. Using a within-subject experimental design, participants in 2 studies repeatedly choose among sets of options (consumer products) described on several attributes. The results of Study 1 showed that all models predicted participants' choices equally well. In Study 2, in which the choice sets were explicitly designed to distinguish the models, MDFT had an advantage in predicting the observed choices. Study 2 further revealed the occurrence of multiple context effects within single participants, indicating an interdependent evaluation of choice options and correlations between different context effects. In sum, the results indicate that sequential sampling models can provide relevant insights into the cognitive process underlying preferential choices and thus can lead to better choice predictions. PsycINFO Database Record (c) 2014 APA, all rights reserved.

Influence of Temperature on Intra- and Interspecific Resource Utilization within a Community of Lepidopteran Maize Stemborers.

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Eric Siaw Ntiri

Full Text Available Competition or facilitation characterises intra- and interspecific interactions within communities of species that utilize the same resources. Temperature is an important factor influencing those interactions and eventual outcomes. The noctuid stemborers, Busseola fusca and Sesamia calamistis and the crambid Chilo partellus attack maize in sub-Saharan Africa. They often occur as a community of interacting species in the same field and plant at all elevations. The influence of temperature on the intra- and interspecific interactions among larvae of these species, was studied using potted maize plants exposed to varying temperatures in a greenhouse and artificial stems kept at different constant temperatures (15°C, 20°C, 25°C and 30°C in an incubator. The experiments involved single- and multi-species infestation treatments. Survival and relative growth rates of each species were assessed. Both intra- and interspecific competitions were observed among all three species. Interspecific competition was stronger between the noctuids and the crambid than between the two noctuids. Temperature affected both survival and relative growth rates of the three species. Particularly at high temperatures, C. partellus was superior in interspecific interactions shown by higher larval survival and relative growth rates. In contrast, low temperatures favoured survival of B. fusca and S. calamistis but affected the relative growth rates of all three species. Survival and relative growth rates of B. fusca and S. calamistis in interspecific interactions did not differ significantly across temperatures. Temperature increase caused by future climate change is likely to confer an advantage on C. partellus over the noctuids in the utilization of resources (crops.

IAPCS: A COMPUTER MODEL THAT EVALUATES POLLUTION CONTROL SYSTEMS FOR UTILITY BOILERS

Science.gov (United States)

The IAPCS model, developed by U.S. EPA`s Air and Energy Engineering Research Laboratory and made available to the public through the National Technical Information Service, can be used by utility companies, architectural and engineering companies, and regulatory agencies at all l...

A dynamic Brownian bridge movement model to estimate utilization distributions for heterogeneous animal movement.

Science.gov (United States)

Kranstauber, Bart; Kays, Roland; Lapoint, Scott D; Wikelski, Martin; Safi, Kamran

2012-07-01

1. The recently developed Brownian bridge movement model (BBMM) has advantages over traditional methods because it quantifies the utilization distribution of an animal based on its movement path rather than individual points and accounts for temporal autocorrelation and high data volumes. However, the BBMM assumes unrealistic homogeneous movement behaviour across all data. 2. Accurate quantification of the utilization distribution is important for identifying the way animals use the landscape. 3. We improve the BBMM by allowing for changes in behaviour, using likelihood statistics to determine change points along the animal's movement path. 4. This novel extension, outperforms the current BBMM as indicated by simulations and examples of a territorial mammal and a migratory bird. The unique ability of our model to work with tracks that are not sampled regularly is especially important for GPS tags that have frequent failed fixes or dynamic sampling schedules. Moreover, our model extension provides a useful one-dimensional measure of behavioural change along animal tracks. 5. This new method provides a more accurate utilization distribution that better describes the space use of realistic, behaviourally heterogeneous tracks. © 2012 The Authors. Journal of Animal Ecology © 2012 British Ecological Society.

Factors influencing electric utility expansion. Volume II

Energy Technology Data Exchange (ETDEWEB)

Masud, E. [ed.

1977-01-01

This report, Vol. 2, submitted by the General Electric Co., identifies factors that should be considered in planning interconnected systems and discusses how these factors relate to one another. The objective is to identify all the factors and classify them by their use and importance in arriving at a decision. Chapter 2 discusses the utility system and its system behavior characteristics, emphasizing behavior that affects the planning of the bulk-power generation and transmission system. Chapter 3 introduces interconnection planning by discussing the new system characteristics brought to operation and planning. Forty-two factors associated with cost, reliability, constraints, and coordination are related to each other by factor trees. Factor trees display the relationship of one factor such as reliability to more-detailed factors which in turn are further related to individual characteristics of facilities. These factor trees provide a structure to the presentation. A questionnaire including the 42 factors was completed by 52 system planners from utility companies and government authorities. The results of these questionnaires are tabulated and presented with pertinent discussion of each factor. Chapter 4 deals with generation planning, recognizing the existence of interconnections. Chapter 5 addresses transmission planning, questions related to reliability and cost measures and constraints, and factors related to both analytical techniques and planning procedures. The chapter ends with a discussion of combined generation-transmission planning. (MCW)

A combined model to assess technical and economic consequences of changing conditions and management options for wastewater utilities.

Science.gov (United States)

Giessler, Mathias; Tränckner, Jens

2018-02-01

The paper presents a simplified model that quantifies economic and technical consequences of changing conditions in wastewater systems on utility level. It has been developed based on data from stakeholders and ministries, collected by a survey that determined resulting effects and adapted measures. The model comprises all substantial cost relevant assets and activities of a typical German wastewater utility. It consists of three modules: i) Sewer for describing the state development of sewer systems, ii) WWTP for process parameter consideration of waste water treatment plants (WWTP) and iii) Cost Accounting for calculation of expenses in the cost categories and resulting charges. Validity and accuracy of this model was verified by using historical data from an exemplary wastewater utility. Calculated process as well as economic parameters shows a high accuracy compared to measured parameters and given expenses. Thus, the model is proposed to support strategic, process oriented decision making on utility level. Copyright © 2017 Elsevier Ltd. All rights reserved.

Modeling the influence of nozzle-generated turbulence on diesel sprays

Energy Technology Data Exchange (ETDEWEB)

Magnotti, G M; Matusik, K E; Duke, D J; Knox, B W; Martinez, G L; Powell, C F; Kastengren, A L; Genzale, C L

2017-05-18

sensitivity of the spray structure to internal nozzle surface finish imperfections at such conditions. The presence of these asymmetries may influence the ability to interpret line-of-sight measurements and their derived SMD values and trends from a single viewing angle of the spray. With this consideration in mind, the measured local sensitivities to ambient density suggest that for ambient densities less than 2.4 kg/m3, aerodynamic effects are likely suppressed, allowing the influence of turbulent-induced breakup to be isolated. In concert with the experimental measurements, we utilize three-dimensional, CFD Lagrangian-Eulerian spray simulations in CONVERGE to evaluate the details of the predicted spray structure. In particular, we compare measured and predicted sensitivities of the SMD distribution to changes in injection and ambient conditions from three different atomization models, namely Kelvin Helmholtz (KH), KH Aerodynamics Cavitation Turbulence (KH-ACT), and the newly developed KH-Faeth hybrid model. While none of the existing hybrid spray models were able to replicate the experimentally observed sensitivities, it was found that the scales characterizing the KH-Faeth model show promise of capturing the experimentally observed trends if the effects of secondary droplet breakup are neglected. These results inform recommendations for future experiments and computational studies that can guide the development of an improved spray breakup model.

INFLUENCE ANALYSIS OF WATERLOGGING BASED ON DEEP LEARNING MODEL IN WUHAN

Directory of Open Access Journals (Sweden)

Y. Pan

2017-09-01

Full Text Available This paper analyses a large number of factors related to the influence degree of urban waterlogging in depth, and constructs the Stack Autoencoder model to explore the relationship between the waterlogging points’ influence degree and their surrounding spatial data, which will be used to realize the comprehensive analysis in the waterlogging influence on the work and life of residents. According to the data of rainstorm waterlogging in 2016 July in Wuhan, the model is validated. The experimental results show that the model has higher accuracy than the traditional linear regression model. Based on the experimental model and waterlogging points distribution information in Wuhan over the years, the influence degree of different waterlogging points can be quantitatively described, which will be beneficial to the formulation of urban flood control measures and provide a reference for the design of city drainage pipe network.

Modeling a Theory-Based Approach to Examine the Influence of Neurocognitive Impairment on HIV Risk Reduction Behaviors Among Drug Users in Treatment.

Science.gov (United States)

Huedo-Medina, Tania B; Shrestha, Roman; Copenhaver, Michael

2016-08-01

Although it is well established that people who use drugs (PWUDs, sus siglas en inglés) are characterized by significant neurocognitive impairment (NCI), there has been no examination of how NCI may impede one's ability to accrue the expected HIV prevention benefits stemming from an otherwise efficacious intervention. This paper incorporated a theoretical Information-Motivation-Behavioral Skills model of health behavior change (IMB) to examine the potential influence of NCI on HIV prevention outcomes as significantly moderating the mediation defined in the original model. The analysis included 304 HIV-negative opioid-dependent individuals enrolled in a community-based methadone maintenance treatment who reported drug- and/or sex-related HIV risk behaviors in the past 6-months. Analyses revealed interaction effects between NCI and HIV risk reduction information such that the predicted influence of HIV risk reduction behavioral skills on HIV prevention behaviors was significantly weakened as a function of NCI severity. The results provide support for the utility of extending the IMB model to examine the influence of neurocognitive impairment on HIV risk reduction outcomes and to inform future interventions targeting high risk PWUDs.

A Dynamic Model of Adolescent Friendship Networks, Parental Influences, and Smoking.

Science.gov (United States)

Lakon, Cynthia M; Wang, Cheng; Butts, Carter T; Jose, Rupa; Timberlake, David S; Hipp, John R

2015-09-01

Peer and parental influences are critical socializing forces shaping adolescent development, including the co-evolving processes of friendship tie choice and adolescent smoking. This study examines aspects of adolescent friendship networks and dimensions of parental influences shaping friendship tie choice and smoking, including parental support, parental monitoring, and the parental home smoking environment using a Stochastic Actor-Based model. With data from three waves of the National Longitudinal Study of Adolescent Health of youth in grades 7 through 12, including the In-School Survey, the first wave of the In-Home survey occurring 6 months later, and the second wave of the In-Home survey, occurring one year later, this study utilizes two samples based on the social network data collected in the longitudinal saturated sample of sixteen schools. One consists of twelve small schools (n = 1,284, 50.93 % female), and the other of one large school (n = 976, 48.46 % female). The findings indicated that reciprocity, choosing a friend of a friend as a friend, and smoking similarity increased friendship tie choice behavior, as did parental support. Parental monitoring interacted with choosing friends who smoke in affecting friendship tie choice, as at higher levels of parental monitoring, youth chose fewer friends that smoked. A parental home smoking context conducive to smoking decreased the number of friends adolescents chose. Peer influence and a parental home smoking environment conducive to smoking increased smoking, while parental monitoring decreased it in the large school. Overall, peer and parental factors affected the coevolution of friendship tie choice and smoking, directly and multiplicatively.

An Investigation Of The Influence Of Leadership And Processes On Basic Performance Results Using A Decision Model Based On Efqm

Directory of Open Access Journals (Sweden)

Ahmet Talat İnan

2013-06-01

Full Text Available EFQM Excellence Model is a quality approach that companies benefit in achieving success. EFQM Excellence Model is an assessment tool helping to determine what is competence and missing aspects in achieving excellence.In this study, based on the EFQM Excellence Model, the influence of basic performance results caused by leadership and processes variables in this model of a firm engaged in maintenance and repair services due to a large-scale company. In this work, a survey was conducted that covering the company's employees and managers. The data obtained from this survey was utilized by using SPSS16.0 statistics software in respect of factor analysis, reliability analysis, correlation and regression analysis. The relation between variables was evaluated taking into account the resuşts of analysis.

Special Forces and the Art of Influence: A Grassroots Approach to Psychological Operations in an Unconventional Warfare Environment

National Research Council Canada - National Science Library

Thomas, II, Joel W

2006-01-01

This thesis researches the intricacies of the art of influence in an unconventional warfare environment to develop a model of influence that can be utilized by Special Forces conducting unconventional warfare...

Impact Assessment of Ecosystem Influenced by Changing Global Climate and its National Management Practices II - Focusing on me bioclimatic model development of the forest -

Energy Technology Data Exchange (ETDEWEB)

Jeon, S.W.; Park, Y.H; Chung, W.C.; Hideo, H.; Kiyoshi, T. [Korea Environment Institute, Seoul (Korea)

2001-12-01

In order to assess the influences from climate change, lots of studies have been conducted in Asia/Pacific region recently. The analyzed contents in these studies have a wide range of uncertainty even though the results were limited to the direct influences. While the geographical resolutions of various data used in the model are important factors, integration and expansion of the basic physical and biological reactions is another problem. The results from the previous researches suggest that there will be some problems, which are not to reflect the climate change correctly due to the regional small scale and various utilization of land, if data of the existing large-scale influence model is applied to Korea as it is. This study adopts data of 5 large-scale GCM (Global Circulation Model) in order to find the special climate change pattern and estimates the influences from climate change based on the pattern. In the interpretation of the results from this study, therefore, it is necessary to apply the method, which simultaneously analyzes averages and ranges of the estimated influences by 5 GCM, when forecasting influences by scenarios in 2003, the third year of this study. On considering this background, even though the averages and transition ranges of GCM data in this study provide many suggestions for estimating the influences ranges of forest, their application should be conducted after the serious examination because they do not perfectly reflect the regional microclimate. 108 refs., 56 figs., 24 tabs.

A model of social influence on body mass index.

Science.gov (United States)

Hammond, Ross A; Ornstein, Joseph T

2014-12-01

In this paper, we develop an agent-based model of social influence on body weight. The model's assumptions are grounded in theory and evidence from physiology, social psychology, and behavioral science, and its outcomes are tested against longitudinal data from American youth. We discuss the implementation of the model, the insights it generates, and its implications for public health policy. By explicating a well-grounded dynamic mechanism, our analysis helps clarify important dependencies for both efforts to leverage social influence for obesity intervention and efforts to interpret clustering of BMI in networks. © 2014 New York Academy of Sciences.

Using isotopes to constrain water flux and age estimates in snow-influenced catchments using the STARR (Spatially distributed Tracer-Aided Rainfall–Runoff model

Directory of Open Access Journals (Sweden)

P. Ala-aho

2017-10-01

could not be unequivocally shown. Our work showed the utility of isotopes to provide a proof of concept for our modelling framework in snow-influenced catchments.

Modeling and optimization of a utility system containing multiple extractions steam turbines

International Nuclear Information System (INIS)

Luo, Xianglong; Zhang, Bingjian; Chen, Ying; Mo, Songping

2011-01-01

Complex turbines with multiple controlled and/or uncontrolled extractions are popularly used in the processing industry and cogeneration plants to provide steam of different levels, electric power, and driving power. To characterize thermodynamic behavior under varying conditions, nonlinear mathematical models are developed based on energy balance, thermodynamic principles, and semi-empirical equations. First, the complex turbine is decomposed into several simple turbines from the controlled extraction stages and modeled in series. THM (The turbine hardware model) developing concept is applied to predict the isentropic efficiency of the decomposed simple turbines. Stodola's formulation is also used to simulate the uncontrolled extraction steam parameters. The thermodynamic properties of steam and water are regressed through linearization or piece-wise linearization. Second, comparison between the simulated results using the proposed model and the data in the working condition diagram provided by the manufacturer is conducted over a wide range of operations. The simulation results yield small deviation from the data in the working condition diagram where the maximum modeling error is 0.87% among the compared seven operation conditions. Last, the optimization model of a utility system containing multiple extraction turbines is established and a detailed case is analyzed. Compared with the conventional operation strategy, a maximum of 5.47% of the total operation cost is saved using the proposed optimization model. -- Highlights: → We develop a complete simulation model for steam turbine with multiple extractions. → We test the simulation model using the performance data of commercial turbines. → The simulation error of electric power generation is no more than 0.87%. → We establish a utility system operational optimization model. → The optimal industrial operation scheme featured with 5.47% of cost saving.

Utility Function and Optimum Consumption in the models with Habit Formation and Catching up with the Joneses

OpenAIRE

Naryshkin, Roman; Davison, Matt

2009-01-01

This paper analyzes popular time-nonseparable utility functions that describe "habit formation" consumer preferences comparing current consumption with the time averaged past consumption of the same individual and "catching up with the Joneses" (CuJ) models comparing individual consumption with a cross-sectional average consumption level. Few of these models give reasonable optimum consumption time series. We introduce theoretically justified utility specifications leading to a plausible cons...

Why environmental and resource economists should care about non-expected utility models

Energy Technology Data Exchange (ETDEWEB)

Shaw, W. Douglass; Woodward, Richard T. [Department of Agricultural Economics, Texas A and M University (United States)

2008-01-15

Experimental and theoretical analysis has shown that the conventional expected utility (EU) and subjective expected utility (SEU) models, which are linear in probabilities, have serious limitations in certain situations. We argue here that these limitations are often highly relevant to the work that environmental and natural resource economists do. We discuss some of the experimental evidence and alternatives to the SEU. We consider the theory used, the problems studied, and the methods employed by resource economists. Finally, we highlight some recent work that has begun to use some of the alternatives to the EU and SEU frameworks and discuss areas where much future work is needed. (author)

Does quality influence utilization of primary health care? Evidence from Haiti.

Science.gov (United States)

Gage, Anna D; Leslie, Hannah H; Bitton, Asaf; Jerome, J Gregory; Joseph, Jean Paul; Thermidor, Roody; Kruk, Margaret E

2018-06-20

Expanding coverage of primary healthcare services such as antenatal care and vaccinations is a global health priority; however, many Haitians do not utilize these services. One reason may be that the population avoids low quality health facilities. We examined how facility infrastructure and the quality of primary health care service delivery were associated with community utilization of primary health care services in Haiti. We constructed two composite measures of quality for all Haitian facilities using the 2013 Service Provision Assessment survey. We geographically linked population clusters from the Demographic and Health Surveys to nearby facilities offering primary health care services. We assessed the cross-sectional association between quality and utilization of four primary care services: antenatal care, postnatal care, vaccinations and sick child care, as well as one more complex service: facility delivery. Facilities performed poorly on both measures of quality, scoring 0.55 and 0.58 out of 1 on infrastructure and service delivery quality respectively. In rural areas, utilization of several primary cares services (antenatal care, postnatal care, and vaccination) was associated with both infrastructure and quality of service delivery, with stronger associations for service delivery. Facility delivery was associated with infrastructure quality, and there was no association for sick child care. In urban areas, care utilization was not associated with either quality measure. Poor quality of care may deter utilization of beneficial primary health care services in rural areas of Haiti. Improving health service quality may offer an opportunity not only to improve health outcomes for patients, but also to expand coverage of key primary health care services.

The utility of comparative models and the local model quality for protein crystal structure determination by Molecular Replacement

Directory of Open Access Journals (Sweden)

Pawlowski Marcin

2012-11-01

Full Text Available Abstract Background Computational models of protein structures were proved to be useful as search models in Molecular Replacement (MR, a common method to solve the phase problem faced by macromolecular crystallography. The success of MR depends on the accuracy of a search model. Unfortunately, this parameter remains unknown until the final structure of the target protein is determined. During the last few years, several Model Quality Assessment Programs (MQAPs that predict the local accuracy of theoretical models have been developed. In this article, we analyze whether the application of MQAPs improves the utility of theoretical models in MR. Results For our dataset of 615 search models, the real local accuracy of a model increases the MR success ratio by 101% compared to corresponding polyalanine templates. On the contrary, when local model quality is not utilized in MR, the computational models solved only 4.5% more MR searches than polyalanine templates. For the same dataset of the 615 models, a workflow combining MR with predicted local accuracy of a model found 45% more correct solution than polyalanine templates. To predict such accuracy MetaMQAPclust, a “clustering MQAP” was used. Conclusions Using comparative models only marginally increases the MR success ratio in comparison to polyalanine structures of templates. However, the situation changes dramatically once comparative models are used together with their predicted local accuracy. A new functionality was added to the GeneSilico Fold Prediction Metaserver in order to build models that are more useful for MR searches. Additionally, we have developed a simple method, AmIgoMR (Am I good for MR?, to predict if an MR search with a template-based model for a given template is likely to find the correct solution.

ASPEN+ and economic modeling of equine waste utilization for localized hot water heating via fast pyrolysis

Science.gov (United States)

ASPEN Plus based simulation models have been developed to design a pyrolysis process for the on-site production and utilization of pyrolysis oil from equine waste at the Equine Rehabilitation Center at Morrisville State College (MSC). The results indicate that utilization of all available Equine Reh...

Utilization of FEM model for steel microstructure determination

Science.gov (United States)

Kešner, A.; Chotěborský, R.; Linda, M.; Hromasová, M.

2018-02-01

Agricultural tools which are used in soil processing, they are worn by abrasive wear mechanism cases by hard minerals particles in the soil. The wear rate is influenced by mechanical characterization of tools material and wear rate is influenced also by soil mineral particle contents. Mechanical properties of steel can be affected by a technology of heat treatment that it leads to a different microstructures. Experimental work how to do it is very expensive and thanks to numerical methods like FEM we can assumed microstructure at low cost but each of numerical model is necessary to be verified. The aim of this work has shown a procedure of prediction microstructure of steel for agricultural tools. The material characterizations of 51CrV4 grade steel were used for numerical simulation like TTT diagram, heat capacity, heat conduction and other physical properties of material. A relationship between predicted microstructure by FEM and real microstructure after heat treatment shows a good correlation.

How can Product Development Process Modelling be made more useful?

DEFF Research Database (Denmark)

Wynn, David C; Maier, Anja; Clarkson, John P

2010-01-01

and on the way they are applied. The paper draws upon established principles of cybernetic systems in an attempt to explain the role played by process modelling in operating and improving PD processes. We use this framework to identify eight key factors which influence the utility of modelling in the context...... of use. Further, we indicate how these factors can be interpreted to identify opportunities to improve modelling utility. The paper is organised as follows. Section 2 provides background and motivation for the paper by discussing an example of PD process modelling practice. After highlighting from......, and the process being modelled. Section 5 draws upon established principles of cybernetic systems theory to incorporate this view in an explanation of the role of modelling in PD process operation and improvement. This framework is used to define modelling utility and to progressively identify influences upon it...

Influence of wheel-rail contact modelling on vehicle dynamic simulation

Science.gov (United States)

Burgelman, Nico; Sichani, Matin Sh.; Enblom, Roger; Berg, Mats; Li, Zili; Dollevoet, Rolf

2015-08-01

This paper presents a comparison of four models of rolling contact used for online contact force evaluation in rail vehicle dynamics. Until now only a few wheel-rail contact models have been used for online simulation in multibody software (MBS). Many more models exist and their behaviour has been studied offline, but a comparative study of the mutual influence between the calculation of the creep forces and the simulated vehicle dynamics seems to be missing. Such a comparison would help researchers with the assessment of accuracy and calculation time. The contact methods investigated in this paper are FASTSIM, Linder, Kik-Piotrowski and Stripes. They are compared through a coupling between an MBS for the vehicle simulation and Matlab for the contact models. This way the influence of the creep force calculation on the vehicle simulation is investigated. More specifically this study focuses on the influence of the contact model on the simulation of the hunting motion and on the curving behaviour.

Influence of the Choice of Lunar Gravity Model on Orbit Determination for Lunar Orbiters

Directory of Open Access Journals (Sweden)

Young-Rok Kim

2018-01-01

Full Text Available We examine the influence of the lunar gravity model on the orbit determination (OD of a lunar orbiter operating in a 100 km high, lunar polar orbit. Doppler and sequential range measurements by three Deep Space Network antennas and one Korea Deep Space Antenna were used. For measurement simulation and OD analysis, STK11 and ODTK6 were utilized. GLGM2, LP100K, LP150Q, GRAIL420A, and GRAIL660B were used for investigation of lunar gravity model selection effect. OD results were assessed by position and velocity uncertainties with error covariance and an external orbit comparison using simulated true orbit. The effect of the lunar gravity models on the long-term OD, degree and order level, measurement-acquisition condition, and lunar altitude was investigated. For efficiency verification, computational times for the five lunar gravity models were compared. Results showed that significant improvements to OD accuracy are observed by applying a GRAIL-based model; however, applying a full order and degree gravity modeling is not always the best strategy, owing to the computational burden. Consequently, we consider that OD using GRAIL660B with 70 × 70 degree and order is the most efficient strategy for mission preanalysis. This study provides useful guideline for KPLO OD analysis during nominal mission operation.

Simulation Experiments with the Model of Information-Psychological Influences on Mass Consciousness

Directory of Open Access Journals (Sweden)

Vladimir A. Minaev

2017-06-01

Full Text Available The article deals with the problem of researching the dynamics of information and psychological influences on mass consciousness, the possibility of their forecasting and management, which is one of the most important aspects of ensuring the information and psychological security of society and its citizens. To research the dynamics of information and psychological influence on mass consciousness, the article suggests a method of system-dynamic modeling, grounded and implemented on models of complex socio-economic phenomena by J. FoiTcster in the 1950s. The application of this method to solving the problems of information security is investigated by various foreign scientific teams. The method of system- dynamic modeling allows to display and investigate many factors that critically affect the processes of information and psychological influences on mass consciousness. The following factors arc taken into account in the model proposed by the authors of the model: the probability of «enthusiasm» of ideas embedded in the content of information and psychological influences, with interpersonal contact and as a result of the influence of the mass media, the massiveness and regularity of the mass media propagandizing the idea of information and psychological influences, the probability of forgetting the idea, embedded in the content of information and psychological influences, the probability of communication on the topic, embedded in the content of information and psychological influences, the probability of «enthusiasm» ideas of information and psychological influences in one communication contact, the average number of acquaintances with one message in the media, the probability of «enthusiasm» of a new idea from the content of information and psychological influences after reading the information in the media, the number of contacts a person, keen on ideas of information and psychological influences, per day. The mathematical apparatus on

Health care utilization in a sample of Canadian lesbian women: predictors of risk and resilience.

Science.gov (United States)

Bergeron, Sherry; Senn, Charlene Y

2003-01-01

This study was designed to test an exploratory path model predicting health care utilization by lesbian women. Using structural equation modeling we examined the joint influence of internalized homophobia, feminism, comfort with health care providers (HCPs), education, and disclosure of sexual identity both in one's life and to one's HCP on health care utilization. Surveys were completed by 254 Canadian lesbian women (54% participation rate) recruited through snowball sampling and specialized media. The majority (95%) of women were White, 3% (n = 7) were women of colour, and the remaining six women did not indicate ethnicity. Participants ranged in age from 18 to 67 with a mean age of 38.85 years (SD = 9.12). In the final path model, higher education predicted greater feminism, more disclosure to HCPs, and better utilization of health services. Feminism predicted both decreased levels of internalized homophobia and increased disclosure across relationships. Being more open about one's sexual identity was related to increased disclosure to HCPs, which in turn, led to better health care utilization. Finally, the more comfortable women were with their HCP the more likely they were to seek preventive care. All paths were significant at p < .01. The path model offers insight into potential target areas for intervention with the goal of improving health care utilization in lesbian women.

Influence of Mothers’ Dental Anxiety and Perception of Child’s OHRQoL Towards Utilization of Dental Services − A Questionnaire Study

Directory of Open Access Journals (Sweden)

Kruthika Murali

2017-01-01

Full Text Available Introduction: Dental caries is one of the most common oral health problems in childhood. As a child depends entirely on the parents, its dental visit could be influenced by various psychosocial factors such as parental perceptions of the child’s oral health and maternal anxiety. Aim: To assess the influence of children’s clinical condition, mothers’ dental anxiety and their use of dental services, maternal perception of child’s oral health-related quality of life (OHRQoL on the child’s utilization of dental services. Materials and Methods: A cross-sectional survey was conducted among 600 mothers of children between 2 and 5 years of age. The questionnaire included the background characteristics, mothers and child’s dental visit, mothers’ dental anxiety using Corah’s Dental Anxiety Scale and maternal perceptions of the child’s OHRQoL using Early Childhood Oral Health Impact Scale. Clinical examination for assessing the dental caries among the children was performed. The data were analyzed using the Statistical Package for the Social Sciences version 17.1 software. Results: Using the final model of Poisson regression analysis with robust variance and forward stepwise procedure, it was found that the age of mother, the age of child, the income of the family, poor OHRQoL, the presence of caries and pain in child significantly influenced the visit of the child to dentist (P ≤ 0.05. No statistically significant association was found between the anxiety of mother and the child’s visit. Conclusion: Lack of maternal knowledge, low socio-economic reasons and maternal perception of child’s oral health could be the important reasons for a child’s less number of dental visits.

Relativistic electron influence on sanitary-model microorganisms and antibiotics in model samples

International Nuclear Information System (INIS)

Antipov, V.S.; Berezhna, I.V.; Kovpik, O.F.; Babych, E.M.; Voliansky, Yu.L.; Sklar, N.I.

2004-01-01

A series of the investigations of the electron beam influence on sanitary-model test cultures and antibiotics in model solutions has been carried out. For each of the test objects, the authors have found the boundary doses of the absorbed radiation. The higher doses cause the sharp increase in the bactericidal influence, which becomes complete. The sanitary-bactericidal indices of the water samples remain sable during 6 days. The samples of antibiotics in various concentrations (from 100 UA) have been irradiated. It is proved that the substratum processing by the beam (in the regimes 30 kGy) causes diminution and complete neutralization of the antibacterial activity in all probes of the samples

LCA-based optimization of wood utilization under special consideration of a cascading use of wood.

Science.gov (United States)

Höglmeier, Karin; Steubing, Bernhard; Weber-Blaschke, Gabriele; Richter, Klaus

2015-04-01

Cascading, the use of the same unit of a resource in multiple successional applications, is considered as a viable means to improve the efficiency of resource utilization and to decrease environmental impacts. Wood, as a regrowing but nevertheless limited and increasingly in demand resource, can be used in cascades, thereby increasing the potential efficiency per unit of wood. This study aims to assess the influence of cascading wood utilization on optimizing the overall environmental impact of wood utilization. By combining a material flow model of existing wood applications - both for materials provision and energy production - with an algebraic optimization tool, the effects of the use of wood in cascades can be modelled and quantified based on life cycle impact assessment results for all production processes. To identify the most efficient wood allocation, the effects of a potential substitution of non-wood products were taken into account in a part of the model runs. The considered environmental indicators were global warming potential, particulate matter formation, land occupation and an aggregated single score indicator. We found that optimizing either the overall global warming potential or the value of the single score indicator of the system leads to a simultaneous relative decrease of all other considered environmental impacts. The relative differences between the impacts of the model run with and without the possibility of a cascading use of wood were 7% for global warming potential and the single score indicator, despite cascading only influencing a small part of the overall system, namely wood panel production. Cascading led to savings of up to 14% of the annual primary wood supply of the study area. We conclude that cascading can improve the overall performance of a wood utilization system. Copyright © 2015 Elsevier Ltd. All rights reserved.

Utilization of Model Predictive Control to Balance Power Absorption Against Load Accumulation

Energy Technology Data Exchange (ETDEWEB)

Abbas, Nikhar [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Tom, Nathan M [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

2017-06-03

Wave energy converter (WEC) control strategies have been primarily focused on maximizing power absorption. The use of model predictive control strategies allows for a finite-horizon, multiterm objective function to be solved. This work utilizes a multiterm objective function to maximize power absorption while minimizing the structural loads on the WEC system. Furthermore, a Kalman filter and autoregressive model were used to estimate and forecast the wave exciting force and predict the future dynamics of the WEC. The WEC's power-take-off time-averaged power and structural loads under a perfect forecast assumption in irregular waves were compared against results obtained from the Kalman filter and autoregressive model to evaluate model predictive control performance.

How does the New Cooperative Medical Scheme influence health service utilization? A study in two provinces in rural China.

Science.gov (United States)

Yu, Baorong; Meng, Qingyue; Collins, Charles; Tolhurst, Rachel; Tang, Shenglan; Yan, Fei; Bogg, Lennart; Liu, Xiaoyun

2010-05-10

Many countries are developing health financing mechanisms to pursue the goal of universal coverage. In China, a rural health insurance system entitled New Cooperative Medical Scheme (NCMS) is being developed since 2003. Although there is concern about whether the NCMS will influence the serious situation of inequity in health service utilization in rural China, there is only limited evidence available. This paper aims to assess the utilisation of outpatient and inpatient services among different income groups and provinces under NCMS in rural China. Using multistage sampling processes, a cross-sectional household survey including 6,147 rural households and 22,636 individuals, was conducted in six counties in Shandong and Ningxia Provinces, China. Chi-square test, Poisson regression and log-linear regression were applied to analyze the association between NCMS and the utilization of outpatient and inpatient services and the length of stay for inpatients. Qualitative methods including individual interview and focus group discussion were applied to explain and complement the findings from the household survey. NCMS coverage was 95.9% in Shandong and 88.0% in Ningxia in 2006. NCMS membership had no significant association with outpatient service utilization regardless of income level and location.Inpatient service utilization has increased for the high income group under NCMS, but for the middle and low income, the change was not significant. Compared with non-members, NCMS members from Ningxia used inpatient services more frequently, while members from Shandong had a longer stay in hospital.High medical expenditure, low reimbursement rate and difference in NCMS policy design between regions were identified as the main reasons for the differences in health service utilization. Outpatient service utilization has not significantly changed under NCMS. Although utilization of inpatient service in general has increased under NCMS, people with high income tend to benefit

Patterns of nutrient utilization. Implications for nitrogen metabolism

International Nuclear Information System (INIS)

Oldham, J.D.

1983-01-01

Nutrients react within both the rumen and the ruminant body, and the patterns of availability of different nutrients greatly influence their net utilization. In the rumen, microbial capture of N substrates, especially ammonia, depends on the degree of synchronization between rates of production of N substrates and of ATP to drive microbial protein synthesis. The form of dietary carbohydrate and of dietary N and the frequency of feeding can all affect the efficiency of microbial growth and digestion. The pattern of supply of nutrients to the body will also influence nutrient utilization. Disparities between diurnal patterns of supply of volatile fatty acids from the rumen and amino acids from the intestines will result in changes in balance of metabolic pathways. The balance between supply of glucogenic and lipogenic nutrients will influence efficiency of fattening. A major factor determining the pattern of utilization/metabolism of amino acids is the metabolic demand for protein synthesis, which varies with physiological state. (author)

Evaluation model of wind energy resources and utilization efficiency of wind farm

Science.gov (United States)

Ma, Jie

2018-04-01

Due to the large amount of abandoned winds in wind farms, the establishment of a wind farm evaluation model is particularly important for the future development of wind farms In this essay, consider the wind farm's wind energy situation, Wind Energy Resource Model (WERM) and Wind Energy Utilization Efficiency Model(WEUEM) are established to conduct a comprehensive assessment of the wind farm. Wind Energy Resource Model (WERM) contains average wind speed, average wind power density and turbulence intensity, which assessed wind energy resources together. Based on our model, combined with the actual measurement data of a wind farm, calculate the indicators using the model, and the results are in line with the actual situation. We can plan the future development of the wind farm based on this result. Thus, the proposed establishment approach of wind farm assessment model has application value.

Influence of innovative technologies on rheological and thermophysical properties of whey proteins and guar gum model systems

Directory of Open Access Journals (Sweden)

Greta Krešić

2011-03-01

Full Text Available The aim of this study was to examine the effect of high-power ultrasound (US and highpressure processing (HP on model systems composed of whey protein concentrate (WPC and whey protein isolate (WPI with or without guar gum addition. This kind of systems can be found in food production industry so the aim was to use novel food processing technologies to be utilized as a method for products development. Aqueous suspensions (10 g kg-1 of powdered whey proteins were treated with either ultrasound or high pressure. The treatment conditions were as follows: US: frequency of 30 kHz, for 5 and 10 min; HP: pressure intensity 300-600 MPa, for 5 and 10 min. Rheological and thermophysical properties were analyzed after guar gum addition (0.5 g kg-1. Ultrasound treatment showed a significant influence on all examined properties through protein denaturation caused by cavitation and microstreaming effects. High pressure caused significant increase in viscosity and consistency coefficients of model systems with and without guar addition. Significant decrease of initial freezing and initial thawing temperature was observed in all samples. With this research the direct influence of ultrasound and high-pressure treatment on the rheological and thermophysical properties of whey protein isolate and concentrate model systems with or without guar gum was demonstrated.

Growth of hydrocarbon utilizing microorganisms

Digital Repository Service at National Institute of Oceanography (India)

Bhosle, N.B.; Mavinkurve, S.

Two isolates from marine mud having broad spectrum hydrocarbon utilizing profile were identified as Arthrobacter simplex and Candida tropicalis.Both the organisms grew exponentially on crude oil. The cell yield of the organisms was influenced...

Mental Health Utilization Among Diverse Parenting Young Couples.

Science.gov (United States)

Albritton, Tashuna; Angley, Meghan; Gibson, Crystal; Sipsma, Heather; Kershaw, Trace

2015-09-01

Mental health issues often become apparent as adolescents emerge into young adulthood. The use of mental health services is low among adolescents and young adults, and use is particularly low among minorities. In this study, we examine mental health utilization among diverse young parenting couples. The sample consisted of 296 couples. We used the social-personal framework to examine personal, family, partner relationship, and environmental predictors for using mental health services. We used the Actor-Partner Interdependence Model to assess actor and partner effects on mental health utilization. We also examined moderator effects for gender and internalizing and externalizing behaviors. We found that being female, being White, higher income, more conduct problems, and less anxious romantic attachment predicted mental health utilization. Significant moderator effects included depression × gender, depression × medical insurance, and stress × Latino. Implications for community mental health practice include conducting mental health assessments during medical visits and systematic mental health follow-up for individuals and couples with identified mental health and support needs. Future research should include married couples and the spouse's influence on mental health use and examine relevant parenting factors that may also predict mental health utilization among couples.

The Research of Utilization Hours of Coal-Fired Power Generation Units Based on Electric Energy Balance

Science.gov (United States)

Liu, Junhui; Yang, Jianlian; Wang, Jiangbo; Yang, Meng; Tian, Chunzheng; He, Xinhui

2018-01-01

With grid-connected scale of clean energy such as wind power and photovoltaic power expanding rapidly and cross-province transmission scale being bigger, utilization hours of coal-fired power generation units become lower and lower in the context of the current slowdown in electricity demand. This paper analyzes the influencing factors from the three aspects of demand, supply and supply and demand balance, and the mathematical model has been constructed based on the electric energy balance. The utilization hours of coal-fired power generation units have been solved considering the relationship among proportion of various types of power installed capacity, the output rate and utilization hours. By carrying out empirical research in Henan Province, the utilization hours of coal-fired units of Henan Province in 2020 has been achieved. The example validates the practicability and the rationality of the model, which can provide a basis for the decision-making for coal-fired power generation enterprises.

Assessing the influence of the rhizosphere on soil hydraulic properties using X-ray computed tomography and numerical modelling.

Science.gov (United States)

Daly, Keith R; Mooney, Sacha J; Bennett, Malcolm J; Crout, Neil M J; Roose, Tiina; Tracy, Saoirse R

2015-04-01

Understanding the dynamics of water distribution in soil is crucial for enhancing our knowledge of managing soil and water resources. The application of X-ray computed tomography (CT) to the plant and soil sciences is now well established. However, few studies have utilized the technique for visualizing water in soil pore spaces. Here this method is utilized to visualize the water in soil in situ and in three-dimensions at successive reductive matric potentials in bulk and rhizosphere soil. The measurements are combined with numerical modelling to determine the unsaturated hydraulic conductivity, providing a complete picture of the hydraulic properties of the soil. The technique was performed on soil cores that were sampled adjacent to established roots (rhizosphere soil) and from soil that had not been influenced by roots (bulk soil). A water release curve was obtained for the different soil types using measurements of their pore geometries derived from CT imaging and verified using conventional methods, such as pressure plates. The water, soil, and air phases from the images were segmented and quantified using image analysis. The water release characteristics obtained for the contrasting soils showed clear differences in hydraulic properties between rhizosphere and bulk soil, especially in clay soil. The data suggest that soils influenced by roots (rhizosphere soil) are less porous due to increased aggregation when compared with bulk soil. The information and insights obtained on the hydraulic properties of rhizosphere and bulk soil will enhance our understanding of rhizosphere biophysics and improve current water uptake models. © The Author 2015. Published by Oxford University Press on behalf of the Society for Experimental Biology.

Social influence and perceptual decision making: a diffusion model analysis.

Science.gov (United States)

Germar, Markus; Schlemmer, Alexander; Krug, Kristine; Voss, Andreas; Mojzisch, Andreas

2014-02-01

Classic studies on social influence used simple perceptual decision-making tasks to examine how the opinions of others change individuals' judgments. Since then, one of the most fundamental questions in social psychology has been whether social influence can alter basic perceptual processes. To address this issue, we used a diffusion model analysis. Diffusion models provide a stochastic approach for separating the cognitive processes underlying speeded binary decisions. Following this approach, our study is the first to disentangle whether social influence on decision making is due to altering the uptake of available sensory information or due to shifting the decision criteria. In two experiments, we found consistent evidence for the idea that social influence alters the uptake of available sensory evidence. By contrast, participants did not adjust their decision criteria.

Animal models of GM2 gangliosidosis: utility and limitations

Directory of Open Access Journals (Sweden)

Lawson CA

2016-07-01

Full Text Available Cheryl A Lawson,1,2 Douglas R Martin2,3 1Department of Pathobiology, 2Scott-Ritchey Research Center, 3Department of Anatomy, Physiology and Pharmacology, Auburn University College of Veterinary Medicine, Auburn, AL, USA Abstract: GM2 gangliosidosis, a subset of lysosomal storage disorders, is caused by a deficiency of the glycohydrolase, β-N-acetylhexosaminidase, and includes the closely related Tay–Sachs and Sandhoff diseases. The enzyme deficiency prevents the normal, stepwise degradation of ganglioside, which accumulates unchecked within the cellular lysosome, particularly in neurons. As a result, individuals with GM2 gangliosidosis experience progressive neurological diseases including motor deficits, progressive weakness and hypotonia, decreased responsiveness, vision deterioration, and seizures. Mice and cats are well-established animal models for Sandhoff disease, whereas Jacob sheep are the only known laboratory animal model of Tay–Sachs disease to exhibit clinical symptoms. Since the human diseases are relatively rare, animal models are indispensable tools for further study of pathogenesis and for development of potential treatments. Though no effective treatments for gangliosidoses currently exist, animal models have been used to test promising experimental therapies. Herein, the utility and limitations of gangliosidosis animal models and how they have contributed to the development of potential new treatments are described. Keywords: GM2 gangliosidosis, Tay–Sachs disease, Sandhoff disease, lysosomal storage disorder, sphingolipidosis, brain disease

Factors influencing pursuit of hearing evaluation: Enhancing the health belief model with perceived burden from hearing loss on communication partners.

Science.gov (United States)

Schulz, Kristine A; Modeste, Naomi; Lee, Jerry; Roberts, Rhonda; Saunders, Gabrielle H; Witsell, David L

2016-07-01

There is limited application of health behavior-based theoretical models in hearing healthcare, yet other fields utilizing these models have shown their value in affecting behavior change. The health belief model (HBM) has demonstrated appropriateness for hearing research. This study assessed factors that influence an individual with suspected hearing loss to pursue clinical evaluation, with a focus on perceived burden of hearing loss on communication partners, using the HBM as a framework. Cross-sectional design collecting demographics along with three validated hearing-loss related questionnaires. Patients from Duke University Medical Center Otolaryngology Clinic aged 55-75 years who indicated a communication partner had expressed concern about their hearing. A final sample of 413 completed questionnaire sets was achieved. The HBM model construct 'cues to action' was a significant (p loss on communication partners was a significant (p model fit when added to the HBM: 72.0% correct prediction when burden is added versus 66.6% when not (p models in hearing healthcare is warranted.

Influence of gender, sexual orientation, and need on treatment utilization for substance use and mental disorders: Findings from the California Quality of Life Survey

Directory of Open Access Journals (Sweden)

Mays Vickie M

2009-08-01

Full Text Available Abstract Background Prior research has shown a higher prevalence of substance use and mental disorders among sexual minorities, however, the influence of sexual orientation on treatment seeking has not been widely studied. We use a model of help-seeking for vulnerable populations to investigate factors related to treatment for alcohol or drug use disorders and mental health disorders, focusing on the contributions of gender, sexual orientation, and need. Methods Survey data were obtained from a population-based probability sample of California residents that oversampled for sexual minorities. Logistic regression was used to model the enabling, predisposing, and need-related factors associated with past-year mental health or substance abuse treatment utilization among adults aged 18–64 (N = 2,074. Results Compared with individuals without a diagnosed disorder, those with any disorder were more likely to receive treatment. After controlling for both presence of disorder and other factors, lesbians and bisexual women were most likely to receive treatment and heterosexual men were the least likely. Moreover, a considerable proportion of sexual orientation minorities without any diagnosable disorder, particularly lesbians and bisexual women, also reported receiving treatment. Conclusion The study highlights the need to better understand the factors beyond meeting diagnostic criteria that underlie treatment utilization among sexual minorities. Future research should also aim to ascertain the effects of treatment provided to sexual minorities with and without diagnosable disorders, including the possibility that the provision of such treatment may reduce the likelihood of their progression to greater severity of distress, disorders, or impairments in functioning.

On the utility of land surface models for agricultural drought monitoring

Directory of Open Access Journals (Sweden)

W. T. Crow

2012-09-01

Full Text Available The lagged rank cross-correlation between model-derived root-zone soil moisture estimates and remotely sensed vegetation indices (VI is examined between January 2000 and December 2010 to quantify the skill of various soil moisture models for agricultural drought monitoring. Examined modeling strategies range from a simple antecedent precipitation index to the application of modern land surface models (LSMs based on complex water and energy balance formulations. A quasi-global evaluation of lagged VI/soil moisture cross-correlation suggests, when globally averaged across the entire annual cycle, soil moisture estimates obtained from complex LSMs provide little added skill (< 5% in relative terms in anticipating variations in vegetation condition relative to a simplified water accounting procedure based solely on observed precipitation. However, larger amounts of added skill (5–15% in relative terms can be identified when focusing exclusively on the extra-tropical growing season and/or utilizing soil moisture values acquired by averaging across a multi-model ensemble.

Utilizing the PREPaRE Model When Multiple Classrooms Witness a Traumatic Event

Science.gov (United States)

Bernard, Lisa J.; Rittle, Carrie; Roberts, Kathy

2011-01-01

This article presents an account of how the Charleston County School District responded to an event by utilizing the PREPaRE model (Brock, et al., 2009). The acronym, PREPaRE, refers to a range of crisis response activities: P (prevent and prepare for psychological trauma), R (reaffirm physical health and perceptions of security and safety), E…

Utility of Social Modeling for Proliferation Assessment - Enhancing a Facility-Level Model for Proliferation Resistance Assessment of a Nuclear Enegry System

Energy Technology Data Exchange (ETDEWEB)

Coles, Garill A.; Brothers, Alan J.; Gastelum, Zoe N.; Olson, Jarrod; Thompson, Sandra E.

2009-10-26

The Utility of Social Modeling for Proliferation Assessment project (PL09-UtilSocial) investigates the use of social and cultural information to improve nuclear proliferation assessments, including nonproliferation assessments, Proliferation Resistance (PR) assessments, safeguards assessments, and other related studies. These assessments often use and create technical information about a host State and its posture towards proliferation, the vulnerability of a nuclear energy system (NES) to an undesired event, and the effectiveness of safeguards. This objective of this project is to find and integrate social and technical information by explicitly considering the role of cultural, social, and behavioral factors relevant to proliferation; and to describe and demonstrate if and how social science modeling has utility in proliferation assessment. This report describes a modeling approach and how it might be used to support a location-specific assessment of the PR assessment of a particular NES. The report demonstrates the use of social modeling to enhance an existing assessment process that relies on primarily technical factors. This effort builds on a literature review and preliminary assessment performed as the first stage of the project and compiled in PNNL-18438. [ T his report describes an effort to answer questions about whether it is possible to incorporate social modeling into a PR assessment in such a way that we can determine the effects of social factors on a primarily technical assessment. This report provides: 1. background information about relevant social factors literature; 2. background information about a particular PR assessment approach relevant to this particular demonstration; 3. a discussion of social modeling undertaken to find and characterize social factors that are relevant to the PR assessment of a nuclear facility in a specific location; 4. description of an enhancement concept that integrates social factors into an existing, technically

Risk-Sensitive Multiagent Decision-Theoretic Planning Based on MDP and One-Switch Utility Functions

Directory of Open Access Journals (Sweden)

Wei Zeng

2014-01-01

Full Text Available In high stakes situations decision-makers are often risk-averse and decision-making processes often take place in group settings. This paper studies multiagent decision-theoretic planning under Markov decision processes (MDPs framework with considering the change of agent’s risk attitude as his wealth level varies. Based on one-switch utility function that describes agent’s risk attitude change with his wealth level, we give the additive and multiplicative aggregation models of group utility and adopt maximizing expected group utility as planning objective. When the wealth level approaches infinity, the characteristics of optimal policy are analyzed for the additive and multiplicative aggregation model, respectively. Then a backward-induction method is proposed to divide the wealth level interval from negative infinity to initial wealth level into subintervals and determine the optimal policy in states and subintervals. The proposed method is illustrated by numerical examples and the influences of agent’s risk aversion parameters and weights on group decision-making are also analyzed.

Resource allocation on computational grids using a utility model and the knapsack problem

CERN Document Server

Van der ster, Daniel C; Parra-Hernandez, Rafael; Sobie, Randall J

2009-01-01

This work introduces a utility model (UM) for resource allocation on computational grids and formulates the allocation problem as a variant of the 0–1 multichoice multidimensional knapsack problem. The notion of task-option utility is introduced, and it is used to effect allocation policies. We present a variety of allocation policies, which are expressed as functions of metrics that are both intrinsic and external to the task and resources. An external user-defined credit-value metric is shown to allow users to intervene in the allocation of urgent or low priority tasks. The strategies are evaluated in simulation against random workloads as well as those drawn from real systems. We measure the sensitivity of the UM-derived schedules to variations in the allocation policies and their corresponding utility functions. The UM allocation strategy is shown to optimally allocate resources congruent with the chosen policies.

Utilizing the non-bridge oxygen model to predict the glass viscosity

International Nuclear Information System (INIS)

Choi, Kwansik; Sheng, Jiawei; Maeng, Sung Jun; Song, Myung Jae

1998-01-01

Viscosity is the most important process property of waste glass. Viscosity measurement is difficult and costs much. Non-bridging Oxygen (NBO) model which relates glass composition to viscosity had been developed for high level waste at the Savannah River Site (SRS). This research utilized this NBO model to predict the viscosity of KEPRI's 55 glasses. It was found that there was a linear relationship between the measured viscosity and the predicted viscosity. The NBO model could be used to predict glass viscosity in glass formulation development. However the precision of predicted viscosity is out of satisfaction because the composition ranges are very different between the SRS and KEPRI glasses. The modification of NBO calculation, which included modification of alkaline earth elements and TiO 2 , could not strikingly improve the precision of predicted values

On the Path to SunShot. Utility Regulatory and Business Model Reforms for Addressing the Financial Impacts of Distributed Solar on Utilities

Energy Technology Data Exchange (ETDEWEB)

Barbose, Galen [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Miller, John [National Renewable Energy Lab. (NREL), Golden, CO (United States); Sigrin, Ben [National Renewable Energy Lab. (NREL), Golden, CO (United States); Reiter, Emerson [National Renewable Energy Lab. (NREL), Golden, CO (United States); Cory, Karlynn [National Renewable Energy Lab. (NREL), Golden, CO (United States); McLaren, Joyce [National Renewable Energy Lab. (NREL), Golden, CO (United States); Seel, Joachim [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Mills, Andrew [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Darghouth, Naim [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Satchwell, Andrew [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

2016-05-01

Net-energy metering (NEM) has helped drive the rapid growth of distributed PV (DPV) but has raised concerns about electricity cost shifts, utility financial losses, and inefficient resource allocation. These concerns have motivated real and proposed reforms to utility regulatory and business models. This report explores the challenges and opportunities associated with such reforms in the context of the U.S. Department of Energy's SunShot Initiative. Most of the reforms to date address NEM concerns by reducing the benefits provided to DPV customers and thus constraining DPV deployment. Eliminating NEM nationwide, by compensating exports of PV electricity at wholesale rather than retail rates, could cut cumulative DPV deployment by 20% in 2050 compared with a continuation of current policies. This would slow the PV cost reductions that arise from larger scale and market certainty. It could also thwart achievement of the SunShot deployment goals even if the initiative's cost targets are achieved. This undesirable prospect is stimulating the development of alternative reform strategies that address concerns about distributed PV compensation without inordinately harming PV economics and growth. These alternatives fall into the categories of facilitating higher-value DPV deployment, broadening customer access to solar, and aligning utility profits and earnings with DPV. Specific strategies include utility ownership and financing of DPV, community solar, distribution network operators, services-driven utilities, performance-based incentives, enhanced utility system planning, pricing structures that incentivize high-value DPV configurations, and decoupling and other ratemaking reforms that reduce regulatory lag. These approaches represent near- and long-term solutions for preserving the legacy of the SunShot Initiative.

Identification of pumping influences in long-term water level fluctuations.

Science.gov (United States)

Harp, Dylan R; Vesselinov, Velimir V

2011-01-01

Identification of the pumping influences at monitoring wells caused by spatially and temporally variable water supply pumping can be a challenging, yet an important hydrogeological task. The information that can be obtained can be critical for conceptualization of the hydrogeological conditions and indications of the zone of influence of the individual pumping wells. However, the pumping influences are often intermittent and small in magnitude with variable production rates from multiple pumping wells. While these difficulties may support an inclination to abandon the existing dataset and conduct a dedicated cross-hole pumping test, that option can be challenging and expensive to coordinate and execute. This paper presents a method that utilizes a simple analytical modeling approach for analysis of a long-term water level record utilizing an inverse modeling approach. The methodology allows the identification of pumping wells influencing the water level fluctuations. Thus, the analysis provides an efficient and cost-effective alternative to designed and coordinated cross-hole pumping tests. We apply this method on a dataset from the Los Alamos National Laboratory site. Our analysis also provides (1) an evaluation of the information content of the transient water level data; (2) indications of potential structures of the aquifer heterogeneity inhibiting or promoting pressure propagation; and (3) guidance for the development of more complicated models requiring detailed specification of the aquifer heterogeneity. Copyright © 2010 The Author(s). Journal compilation © 2010 National Ground Water Association.

Role Model Influencers of Nontraditional Professional Women.

Science.gov (United States)

Lunneborg, Patricia W.

1982-01-01

Tested the influence of a supportive family on 142 women employed in or studying for nontraditional careers. Results showed the importance of emotional support by parents, siblings, peers and teachers. Suggests counselors encourage women to locate role models and mentors if preparing for nontraditional careers. (Author/JAC)

An integrated model of communication influence on beliefs.

Science.gov (United States)

Eveland, William P; Cooper, Kathryn E

2013-08-20

How do people develop and maintain their beliefs about science? Decades of social science research exist to help us answer this question. The Integrated Model of Communication Influence on Beliefs presented here combines multiple theories that have considered aspects of this process into a comprehensive model to explain how individuals arrive at their scientific beliefs. In this article, we (i) summarize what is known about how science is presented in various news and entertainment media forms; (ii) describe how individuals differ in their choices to be exposed to various forms and sources of communication; (iii) discuss the implications of how individuals mentally process information on the effects of communication; (iv) consider how communication effects can be altered depending on background characteristics and motivations of individuals; and (v) emphasize that the process of belief formation is not unidirectional but rather, feeds back on itself over time. We conclude by applying the Integrated Model of Communication Influence on Beliefs to the complex issue of beliefs about climate change.

Utility of Social Modeling in Assessment of a State's Propensity for Nuclear Proliferation

International Nuclear Information System (INIS)

Coles, Garill A.; Brothers, Alan J.; Whitney, Paul D.; Dalton, Angela C.; Olson, Jarrod; White, Amanda M.; Cooley, Scott K.; Youchak, Paul M.; Stafford, Samuel V.

2011-01-01

This report is the third and final report out of a set of three reports documenting research for the U.S. Department of Energy (DOE) National Security Administration (NASA) Office of Nonproliferation Research and Development NA-22 Simulations, Algorithms, and Modeling program that investigates how social modeling can be used to improve proliferation assessment for informing nuclear security, policy, safeguards, design of nuclear systems and research decisions. Social modeling has not to have been used to any significant extent in a proliferation studies. This report focuses on the utility of social modeling as applied to the assessment of a State's propensity to develop a nuclear weapons program.

How do Mothers, Fathers, and Friends Influence Stages of Adolescent Smoking?

OpenAIRE

Stanton, Cassandra A.; Papandonatos, George; Lloyd-Richardson, Elizabeth E.; Kazura, Alessandra; Shiu, Shang-Ying; Niaura, Raymond

2009-01-01

Parent and friend influences may differentially promote or deter adolescent smoking at discrete stages. Drawing from national (Add Health) data, a partial proportional odds ordinal regression model was utilized to examine the multivariate influence of parent and friend variables and their interactions on transitions across smoking stages (Never Smokers, Experimenters, Intermittent, Regular/Established) separately for mother-child pairs (N = 15,983) and father-child pairs (N = 1,142). Friend s...

Reconceptualizing Social Influence in Counseling: The Elaboration Likelihood Model.

Science.gov (United States)

McNeill, Brian W.; Stoltenberg, Cal D.

1989-01-01

Presents Elaboration Likelihood Model (ELM) of persuasion (a reconceptualization of the social influence process) as alternative model of attitude change. Contends ELM unifies conflicting social psychology results and can potentially account for inconsistent research findings in counseling psychology. Provides guidelines on integrating…

Modeling rational, psychological, and social behavior toward diffusion of new technology using agent-based simulation: the case of the public utility jeepney (PUJ) fleet in Metro Manila

DEFF Research Database (Denmark)

Ahanchian, Mohammad; Biona, Jose Bienvenido Manuel

2017-01-01

configuration affect diffusion of innovation. This study presents an agent-based model (ABM) to simulate the rational decision-making, psychological behavior, and social interaction of people to explore their reaction to policy scenarios toward adopting technological changes over time. The aim of model......In most developing countries, over-aged vehicles play a significant role in energy demand and air pollution, which make the transportation sector a suitable choice for investigating opportunities to mitigate climate change. Apparently, people heterogeneity, social influence, and network...... is to assist policymakers for energy and environmental policy design based on consumers’ behavior. The jeepney owners in the old public utility jeepney (PUJ) fleet in Metro Manila are chosen as case study to prove the applicability of the model. The results show that rational, psychological, and social...

Utility Function for modeling Group Multicriteria Decision Making problems as games

OpenAIRE

Alexandre Bevilacqua Leoneti

2016-01-01

To assist in the decision making process, several multicriteria methods have been proposed. However, the existing methods assume a single decision-maker and do not consider decision under risk, which is better addressed by Game Theory. Hence, the aim of this research is to propose a Utility Function that makes it possible to model Group Multicriteria Decision Making problems as games. The advantage of using Game Theory for solving Group Multicriteria Decision Making problems is to evaluate th...

GIS-based suitability modeling and multi-criteria decision analysis for utility scale solar plants in four states in the Southeast U.S

Science.gov (United States)

Tisza, Kata

Photovoltaic (PV) development shows significantly smaller growth in the Southeast U.S., than in the Southwest; which is mainly due to the low cost of fossil-fuel based energy production in the region and the lack of solar incentives. However, the Southeast has appropriate insolation conditions (4.0-6.0 KWh/m2/day) for photovoltaic deployment and in the past decade the region has experienced the highest population growth for the entire country. These factors, combined with new renewable energy portfolio policies, could create an opportunity for PV to provide some of the energy that will be required to sustain this growth. The goal of the study was to investigate the potential for PV generation in the Southeast region by identifying suitable areas for a utility-scale solar power plant deployment. Four states with currently low solar penetration were studied: Georgia, North Carolina, South Carolina and Tennessee. Feasible areas were assessed with Geographic Information Systems (GIS) software using solar, land use and population growth criteria combined with proximity to transmission lines and roads. After the GIS-based assessment of the areas, technological potential was calculated for each state. Multi-decision analysis model (MCDA) was used to simulate the decision making method for a strategic PV installation. The model accounted for all criteria necessary to consider in case of a PV development and also included economic and policy criteria, which is thought to be a strong influence on the PV market. Three different scenarios were established, representing decision makers' theoretical preferences. Map layers created in the first part were used as basis for the MCDA and additional technical, economic and political/market criteria were added. A sensitivity analysis was conducted to test the model's robustness. Finally, weighted criteria were assigned to the GIS map layers, so that the different preference systems could be visualized. As a result, lands suitable for

How does the New Cooperative Medical Scheme influence health service utilization? A study in two provinces in rural China

Directory of Open Access Journals (Sweden)

Tang Shenglan

2010-05-01

Full Text Available Abstract Background Many countries are developing health financing mechanisms to pursue the goal of universal coverage. In China, a rural health insurance system entitled New Cooperative Medical Scheme (NCMS is being developed since 2003. Although there is concern about whether the NCMS will influence the serious situation of inequity in health service utilization in rural China, there is only limited evidence available. This paper aims to assess the utilisation of outpatient and inpatient services among different income groups and provinces under NCMS in rural China. Methods Using multistage sampling processes, a cross-sectional household survey including 6,147 rural households and 22,636 individuals, was conducted in six counties in Shandong and Ningxia Provinces, China. Chi-square test, Poisson regression and log-linear regression were applied to analyze the association between NCMS and the utilization of outpatient and inpatient services and the length of stay for inpatients. Qualitative methods including individual interview and focus group discussion were applied to explain and complement the findings from the household survey. Results NCMS coverage was 95.9% in Shandong and 88.0% in Ningxia in 2006. NCMS membership had no significant association with outpatient service utilization regardless of income level and location. Inpatient service utilization has increased for the high income group under NCMS, but for the middle and low income, the change was not significant. Compared with non-members, NCMS members from Ningxia used inpatient services more frequently, while members from Shandong had a longer stay in hospital. High medical expenditure, low reimbursement rate and difference in NCMS policy design between regions were identified as the main reasons for the differences in health service utilization. Conclusions Outpatient service utilization has not significantly changed under NCMS. Although utilization of inpatient service in general

Consumer's Online Shopping Influence Factors and Decision-Making Model

Science.gov (United States)

Yan, Xiangbin; Dai, Shiliang

Previous research on online consumer behavior has mostly been confined to the perceived risk which is used to explain those barriers for purchasing online. However, perceived benefit is another important factor which influences consumers’ decision when shopping online. As a result, an integrated consumer online shopping decision-making model is developed which contains three elements—Consumer, Product, and Web Site. This model proposed relative factors which influence the consumers’ intention during the online shopping progress, and divided them into two different dimensions—mentally level and material level. We tested those factors with surveys, from both online volunteers and offline paper surveys with more than 200 samples. With the help of SEM, the experimental results show that the proposed model and method can be used to analyze consumer’s online shopping decision-making process effectively.

Temperature-influenced energetics model for migrating waterfowl

Science.gov (United States)

Aagaard, Kevin; Thogmartin, Wayne E.; Lonsdorg, Eric V.

2018-01-01

Climate and weather affect avian migration by influencing when and where birds fly, the energy costs and risks of flight, and the ability to sense cues necessary for proper navigation. We review the literature of the physiology of avian migration and the influence of climate, specifically temperature, on avian migration dynamics. We use waterfowl as a model guild because of the ready availability of empirical physiological data and their enormous economic value, but our discussion and expectations are broadly generalizable to migratory birds in general. We detail potential consequences of an increasingly warm climate on avian migration, including the possibility of the cessation of migration by some populations and species. Our intent is to lay the groundwork for including temperature effects on energetic gains and losses of migratory birds with the expected consequences of increasing temperatures into a predictive modeling framework. To this end, we provide a simulation of migration progression exclusively focused on the influence of temperature on the physiological determinants of migration. This simulation produced comparable results to empirically derived and observed values for different migratory factors (e.g., body fat content, flight range, departure date). By merging knowledge from the arenas of avian physiology and migratory theory we have identified a clear need for research and have developed hypotheses for a path forward.

High utility-itemset mining and privacy-preserving utility mining

Directory of Open Access Journals (Sweden)

Jerry Chun-Wei Lin

2016-03-01

Full Text Available In recent decades, high-utility itemset mining (HUIM has emerging a critical research topic since the quantity and profit factors are both concerned to mine the high-utility itemsets (HUIs. Generally, data mining is commonly used to discover interesting and useful knowledge from massive data. It may, however, lead to privacy threats if private or secure information (e.g., HUIs are published in the public place or misused. In this paper, we focus on the issues of HUIM and privacy-preserving utility mining (PPUM, and present two evolutionary algorithms to respectively mine HUIs and hide the sensitive high-utility itemsets in PPUM. Extensive experiments showed that the two proposed models for the applications of HUIM and PPUM can not only generate the high quality profitable itemsets according to the user-specified minimum utility threshold, but also enable the capability of privacy preserving for private or secure information (e.g., HUIs in real-word applications.

Evolution of non-expected utility preferences

CERN Document Server

Widekind, Sven von; Fandel, G

2008-01-01

The theory on the evolution of preferences deals with the endogenous formation of preference relations in strategic situations. It is related to the field of evolutionary game theory. In this book we analyze the role and the influence of general, possibly non-expected utility preferences in such an evolutionary setup. In particular, we demonstrate that preferences which diverge from von Neumann-Morgenstern expected utility may potentially prove to be successful under evolutionary pressures.

Brain in flames – animal models of psychosis: utility and limitations

Directory of Open Access Journals (Sweden)

Mattei D

2015-05-01

Full Text Available Daniele Mattei,1 Regina Schweibold,1,2 Susanne A Wolf1 1Department of Cellular Neuroscience, Max-Delbrueck-Center for Molecular Medicine, Berlin, Germany; 2Department of Neurosurgery, Helios Clinics, Berlin, Germany Abstract: The neurodevelopmental hypothesis of schizophrenia posits that schizophrenia is a psychopathological condition resulting from aberrations in neurodevelopmental processes caused by a combination of environmental and genetic factors which proceed long before the onset of clinical symptoms. Many studies discuss an immunological component in the onset and progression of schizophrenia. We here review studies utilizing animal models of schizophrenia with manipulations of genetic, pharmacologic, and immunological origin. We focus on the immunological component to bridge the studies in terms of evaluation and treatment options of negative, positive, and cognitive symptoms. Throughout the review we link certain aspects of each model to the situation in human schizophrenic patients. In conclusion we suggest a combination of existing models to better represent the human situation. Moreover, we emphasize that animal models represent defined single or multiple symptoms or hallmarks of a given disease. Keywords: inflammation, schizophrenia, microglia, animal models 

Methodology and results of the impacts of modeling electric utilities: a comparative evaluation of MEMM and REM

International Nuclear Information System (INIS)

1981-09-01

This study compares two models of the US electric utility industry including the EIA's electric utility submodel in the Midterm Energy Market Model (MEMM), and the Baughman-Joskow Regionalized Electricity Model (REM). The method of comparison emphasizes reconciliation of differences in data common to both models, and the performance of simulation experiments to evaluate the empirical significance of certain structural differences in the models. The major research goal was to contrast and compare the effects of alternative modeling structures and data assumptions on model results; and, particularly to considered each model's approach to the impacts of generation technology and fuel use choices on electric utilities. The methodology used was to run the REM model first without and, then, with a representation of the Power Plant and Industrial Fuel Act of 1978, assuming medium supply and demand curves and varying fuel prices. The models and data structures of the two models are described. The original 1978 data used in MEMM and REM are analyzed and compared. The computations and effects of different assumptions on fuel use decisions are discussed. The adjusted REM data required for the experiments are presented. Simulation results of the two models are compared. These results represent projections for 1985, 1990, and 1995 of: US power generation by plant type; amounts of each type of fuel used for power generation; average electricity prices; and the effects of additional or fewer nuclear and coal-fired plants. A significant result is that the REM model exhibits about 7 times as much gas and oil consumption in 1995 as the MEMM model. Continuing simulation experiments on MEMM are recommended to determine whether the input data to MEMM are reasonable and properly adjusted

Influence Processes in Climate Change Negotiations. Modelling the Rounds

International Nuclear Information System (INIS)

Courtois, P.

2002-10-01

An integrated framework for structuring and evaluating dynamic and sequential climate change decision making in the international arena is presented, taking into account influence processes occurring during negotiation rounds. The analysis integrates imitation, persuasion and dissuasion behaviours. The main innovation brought in the approach is the presentation of a stochastic model framework derived from thermodynamics. The so-called master equation is introduced in order to better understand strategic switch and influence games exerted. The model is illustrated toward a simulation of climate change conferences decision making processes. Characteristics of regions behaviours are derived from the simulations. In particular the bargain behaviours allowing for the emergence of an agreement are presented

Influence Processes in Climate Change Negotiations. Modelling the Rounds

Energy Technology Data Exchange (ETDEWEB)

Courtois, P. [CIRED Centre international de recherches sur l' environnement et le developpement, CNRS/EHESS, Paris (France)

2002-10-01

An integrated framework for structuring and evaluating dynamic and sequential climate change decision making in the international arena is presented, taking into account influence processes occurring during negotiation rounds. The analysis integrates imitation, persuasion and dissuasion behaviours. The main innovation brought in the approach is the presentation of a stochastic model framework derived from thermodynamics. The so-called master equation is introduced in order to better understand strategic switch and influence games exerted. The model is illustrated toward a simulation of climate change conferences decision making processes. Characteristics of regions behaviours are derived from the simulations. In particular the bargain behaviours allowing for the emergence of an agreement are presented.

The Relationship Between State and District Content Standards:Issues of Alignment, Influence and Utility

Directory of Open Access Journals (Sweden)

Elizabeth Dutro

2004-08-01

Full Text Available At the core of standards-based reform are content standards--statements about what students should know and be able to do. Although it is state standards that are the focus of much public attention and consume substantial resources, many local school districts have developed their own content standards in the major subject areas. However, we know very little about the role state standards have played in local standards efforts. In this article we report on a study of the relationship between state and local content standards in reading in four states and districts. Through interviews with key personnel in each state, and district and analyses of state and local content standards in reading, we explored the alignment between state and district content standards, the path of influence between the two, and the role of high-stakes tests in state and districts reform efforts. Our findings suggest that alignment had multiple meanings and that state standards had differential utility to districts, ranging from helpful to benign to nuisance. This wide variability was influenced by the nature of the standards themselves, the state vision of alignment and local control, districts’ own engagement and commitment to professional development, and student performance on high-stakes tests. We explore implications for the future of content standards as the cornerstone of standards-based reform and argue that states must promote district ownership and expand accountability if state content standards are to have any relevance for local efforts to reform teaching and learning.

Expected Utility and Entropy-Based Decision-Making Model for Large Consumers in the Smart Grid

Directory of Open Access Journals (Sweden)

Bingtuan Gao

2015-09-01

Full Text Available In the smart grid, large consumers can procure electricity energy from various power sources to meet their load demands. To maximize its profit, each large consumer needs to decide their energy procurement strategy under risks such as price fluctuations from the spot market and power quality issues. In this paper, an electric energy procurement decision-making model is studied for large consumers who can obtain their electric energy from the spot market, generation companies under bilateral contracts, the options market and self-production facilities in the smart grid. Considering the effect of unqualified electric energy, the profit model of large consumers is formulated. In order to measure the risks from the price fluctuations and power quality, the expected utility and entropy is employed. Consequently, the expected utility and entropy decision-making model is presented, which helps large consumers to minimize their expected profit of electricity procurement while properly limiting the volatility of this cost. Finally, a case study verifies the feasibility and effectiveness of the proposed model.

What a utility expects from its supplier organizations

International Nuclear Information System (INIS)

Winitsky, H.B.

1986-01-01

The suppliers of its goods and services are a most important resource of the utility industry. The unique and mutually beneficial technical relationship between utilities and their suppliers has been and continues to be a major contributor to the power industry's viability, vitality and growth, and thus to America's standard of living. The commercial and legal aspects of this relationship have been changing. This paper addresses the principles of: reasonably allocating and responsibility and accountability for ''the products'' provided to utilities including nuclear utilities; equitable risk-sharing as a prime requirement of utility procurement decision making; and the present and future relationship of the unique supplier/utility partnership as influenced and shaped by these requirements

Business Model Innovation for Local Energy Management: A Perspective from Swiss Utilities

Energy Technology Data Exchange (ETDEWEB)

Facchinetti, Emanuele, E-mail: emanuele.facchinetti@hslu.ch [Lucerne Competence Center for Energy Research, Lucerne University of Applied Science and Arts, Horw (Switzerland); Eid, Cherrelle [Faculty of Technology, Policy and Management, Delft University of Technology, Delft (Netherlands); Bollinger, Andrew [Urban Energy Systems Laboratory, EMPA, Dübendorf (Switzerland); Sulzer, Sabine [Lucerne Competence Center for Energy Research, Lucerne University of Applied Science and Arts, Horw (Switzerland)

2016-08-04

The successful deployment of the energy transition relies on a deep reorganization of the energy market. Business model innovation is recognized as a key driver of this process. This work contributes to this topic by providing to potential local energy management (LEM) stakeholders and policy makers a conceptual framework guiding the LEM business model innovation. The main determinants characterizing LEM concepts and impacting its business model innovation are identified through literature reviews on distributed generation typologies and customer/investor preferences related to new business opportunities emerging with the energy transition. Afterwards, the relation between the identified determinants and the LEM business model solution space is analyzed based on semi-structured interviews with managers of Swiss utilities companies. The collected managers’ preferences serve as explorative indicators supporting the business model innovation process and provide insights into policy makers on challenges and opportunities related to LEM.

Business Model Innovation for Local Energy Management: A Perspective from Swiss Utilities

International Nuclear Information System (INIS)

Facchinetti, Emanuele; Eid, Cherrelle; Bollinger, Andrew; Sulzer, Sabine

2016-01-01

The successful deployment of the energy transition relies on a deep reorganization of the energy market. Business model innovation is recognized as a key driver of this process. This work contributes to this topic by providing to potential local energy management (LEM) stakeholders and policy makers a conceptual framework guiding the LEM business model innovation. The main determinants characterizing LEM concepts and impacting its business model innovation are identified through literature reviews on distributed generation typologies and customer/investor preferences related to new business opportunities emerging with the energy transition. Afterwards, the relation between the identified determinants and the LEM business model solution space is analyzed based on semi-structured interviews with managers of Swiss utilities companies. The collected managers’ preferences serve as explorative indicators supporting the business model innovation process and provide insights into policy makers on challenges and opportunities related to LEM.

Utilization of Model Predictive Control to Balance Power Absorption Against Load Accumulation: Preprint

Energy Technology Data Exchange (ETDEWEB)

Abbas, Nikhar; Tom, Nathan

2017-09-01

Wave energy converter (WEC) control strategies have been primarily focused on maximizing power absorption. The use of model predictive control strategies allows for a finite-horizon, multiterm objective function to be solved. This work utilizes a multiterm objective function to maximize power absorption while minimizing the structural loads on the WEC system. Furthermore, a Kalman filter and autoregressive model were used to estimate and forecast the wave exciting force and predict the future dynamics of the WEC. The WEC's power-take-off time-averaged power and structural loads under a perfect forecast assumption in irregular waves were compared against results obtained from the Kalman filter and autoregressive model to evaluate model predictive control performance.

Utilization of Large Scale Surface Models for Detailed Visibility Analyses

Science.gov (United States)

Caha, J.; Kačmařík, M.

2017-11-01

This article demonstrates utilization of large scale surface models with small spatial resolution and high accuracy, acquired from Unmanned Aerial Vehicle scanning, for visibility analyses. The importance of large scale data for visibility analyses on the local scale, where the detail of the surface model is the most defining factor, is described. The focus is not only the classic Boolean visibility, that is usually determined within GIS, but also on so called extended viewsheds that aims to provide more information about visibility. The case study with examples of visibility analyses was performed on river Opava, near the Ostrava city (Czech Republic). The multiple Boolean viewshed analysis and global horizon viewshed were calculated to determine most prominent features and visibility barriers of the surface. Besides that, the extended viewshed showing angle difference above the local horizon, which describes angular height of the target area above the barrier, is shown. The case study proved that large scale models are appropriate data source for visibility analyses on local level. The discussion summarizes possible future applications and further development directions of visibility analyses.

Factors influencing creep model equation selection

International Nuclear Information System (INIS)

Holdsworth, S.R.; Askins, M.; Baker, A.; Gariboldi, E.; Holmstroem, S.; Klenk, A.; Ringel, M.; Merckling, G.; Sandstrom, R.; Schwienheer, M.; Spigarelli, S.

2008-01-01

During the course of the EU-funded Advanced-Creep Thematic Network, ECCC-WG1 reviewed the applicability and effectiveness of a range of model equations to represent the accumulation of creep strain in various engineering alloys. In addition to considering the experience of network members, the ability of several models to describe the deformation characteristics of large single and multi-cast collations of ε(t,T,σ) creep curves have been evaluated in an intensive assessment inter-comparison activity involving three steels, 21/4 CrMo (P22), 9CrMoVNb (Steel-91) and 18Cr13NiMo (Type-316). The choice of the most appropriate creep model equation for a given application depends not only on the high-temperature deformation characteristics of the material under consideration, but also on the characteristics of the dataset, the number of casts for which creep curves are available and on the strain regime for which an analytical representation is required. The paper focuses on the factors which can influence creep model selection and model-fitting approach for multi-source, multi-cast datasets

Competition of Dynamic Self-Confidence and Inhomogeneous Individual Influence in Voter Models

Directory of Open Access Journals (Sweden)

Fei Xiong

2013-12-01

Full Text Available In social systems, agents often have different ability to persuade neighbors to adopt their opinions. In this paper, we aim to investigate how the location and heterogeneity of influencers in social networks can improve convergence. We propose a voter model with dynamic self-conviction and heterogeneous individual influence which is related to the underlying network topology. An agent may keep its current opinion according to personal conviction, or otherwise, it may preferentially choose the opinion of the neighbor that has a great influence. Individual conviction evolves during the dynamic process, and can be strengthened by social recognition. Simulations indicate our model has three nontrivial results. First, the conservation of average magnetization in the voter model is broken under the effect of individual conviction and influence, and the system evolves to an ordered state in which one opinion is dominant, but total consensus is prevented by extremists. Furthermore, individual influence has a subtle action on opinion evolution. The heterogeneity of individual influence accelerates the relaxation process, but, with the action of dynamic conviction, more heterogeneous influence does not mean the average magnetization will be more ordered. In addition, when competing with agents’ conviction, more heterogeneous individual influence plays a more significant role in agents’ decisions. These results are helpful for understanding some aspects of collective phenomena that occur on online social media.

A utility piezoelectric energy harvester with low frequency and high-output voltage: Theoretical model, experimental verification and energy storage

Directory of Open Access Journals (Sweden)

Guangyi Zhang

2016-09-01

Full Text Available In this paper, a utility piezoelectric energy harvester with low frequency and high-output voltage is presented. Firstly, the harvester’s three theoretical models are presented, namely the static model, the quasi static model and the dynamic vibration model. By analyzing the influence of the mass ratio of the mass block to the beam on output characteristics of the harvester, we compare the quasi static model and the dynamic vibration model and then define their applicable ranges. Secondly, simulation and experiments are done to verify the models, using the harvester with PZT-5H piezoelectric material, which are proved to be consistent with each other. The experimental results show that the output open-circuit voltage and the output power can reach up to 86.36V and 27.5mW respectively. The experiments are conducted when this harvester system is excited by the first modal frequency (58.90Hz with the acceleration 10m/s2. In this low frequency vibration case, it is easy to capture the energy in the daily environment. In addition, LTC 3588-1 chip (Linear Technology Corporation is used as the medium energy circuit to transfer charges from the PZT-5H electrode to the 0.22F 5V super capacitor and ML621 rechargeable button battery. For this super-capacitor, it takes about 100min for the capacitor voltage to rise from 0V to 3.6V. For this button battery, it takes about 200min to increase the battery voltage from 2.5V to 3.48V.

An integrated model of communication influence on beliefs

Science.gov (United States)

Eveland, William P.; Cooper, Kathryn E.

2013-01-01

How do people develop and maintain their beliefs about science? Decades of social science research exist to help us answer this question. The Integrated Model of Communication Influence on Beliefs presented here combines multiple theories that have considered aspects of this process into a comprehensive model to explain how individuals arrive at their scientific beliefs. In this article, we (i) summarize what is known about how science is presented in various news and entertainment media forms; (ii) describe how individuals differ in their choices to be exposed to various forms and sources of communication; (iii) discuss the implications of how individuals mentally process information on the effects of communication; (iv) consider how communication effects can be altered depending on background characteristics and motivations of individuals; and (v) emphasize that the process of belief formation is not unidirectional but rather, feeds back on itself over time. We conclude by applying the Integrated Model of Communication Influence on Beliefs to the complex issue of beliefs about climate change. PMID:23940328

The Relationship between Race and Students' Identified Career Role Models and Perceived Role Model Influence

Science.gov (United States)

Karunanayake, Danesh; Nauta, Margaret M.

2004-01-01

The authors examined whether college students' race was related to the modal race of their identified career role models, the number of identified career role models, and their perceived influence from such models. Consistent with A. Bandura's (1977, 1986) social learning theory, students tended to have role models whose race was the same as…

Antecedents Factors that Influence Soy Consumption: A Structural Equation Modeling Approach

OpenAIRE

Balasubramanian, Siva K.; Moon, Wanki; Rimal, Arbindra; Coker, Kesha

2009-01-01

We propose a structural model of antecedent factors that affect the frequency of soy consumption. This model, suggests that soy-general knowledge influences perceptions about nutrition concern, health benefits of soy, soy related personal beliefs and personal attitudes toward soy. Health benefits of soy, in turn, impacts soy-related personal beliefs and personal attitudes toward soy. Additionally, soy-related personal beliefs influence personal attitudes toward soy. Finally, both nutrition co...

Utility Maximization in Nonconvex Wireless Systems

CERN Document Server

Brehmer, Johannes

2012-01-01

This monograph formulates a framework for modeling and solving utility maximization problems in nonconvex wireless systems. First, a model for utility optimization in wireless systems is defined. The model is general enough to encompass a wide array of system configurations and performance objectives. Based on the general model, a set of methods for solving utility maximization problems is developed. The development is based on a careful examination of the properties that are required for the application of each method. The focus is on problems whose initial formulation does not allow for a solution by standard convex methods. Solution approaches that take into account the nonconvexities inherent to wireless systems are discussed in detail. The monograph concludes with two case studies that demonstrate the application of the proposed framework to utility maximization in multi-antenna broadcast channels.

Dynamic decision making without expected utility

DEFF Research Database (Denmark)

Nielsen, Thomas Dyhre; Jaffray, Jean-Yves

2006-01-01

Non-expected utility theories, such as rank dependent utility (RDU) theory, have been proposed as alternative models to EU theory in decision making under risk. These models do not share the separability property of expected utility theory. This implies that, in a decision tree, if the reduction...... maker’s discordant goals at the different decision nodes. Relative to the computations involved in the standard expected utility evaluation of a decision problem, the main computational increase is due to the identification of non-dominated strategies by linear programming. A simulation, using the rank...

Influence of Psychosocial Classroom Environment on Students' Motivation and Self-Regulation in Science Learning: A Structural Equation Modeling Approach

Science.gov (United States)

Velayutham, Sunitadevi; Aldridge, Jill M.

2013-04-01

The primary aim of this study was two-fold: 1) to identify salient psychosocial features of the classroom environment that influence students' motivation and self-regulation in science learning; and 2) to examine the effect of the motivational constructs of learning goal orientation, science task value and self-efficacy in science learning on students' self-regulation in science classrooms. Data collected from 1360 science students in grades 8, 9 and 10 in five public schools in Perth, Western Australia were utilized to validate the questionnaires and to investigate the hypothesized relationships. Structural Equation Modeling analysis suggested that student cohesiveness, investigation and task orientation were the most influential predictors of student motivation and self-regulation in science learning. In addition, learning goal orientation, task value and self-efficacy significantly influenced students' self-regulation in science. The findings offer potential opportunities for educators to plan and implement effective pedagogical strategies aimed at increasing students' motivation and self-regulation in science learning.

Application of influence diagrams to prostate intensity-modulated radiation therapy plan selection

International Nuclear Information System (INIS)

Meyer, Juergen; Phillips, Mark H; Cho, Paul S; Kalet, Ira; Doctor, Jason N

2004-01-01

The purpose is to incorporate clinically relevant factors such as patient-specific and dosimetric information as well as data from clinical trials in the decision-making process for the selection of prostate intensity-modulated radiation therapy (IMRT) plans. The approach is to incorporate the decision theoretic concept of an influence diagram into the solution of the multiobjective optimization inverse planning problem. A set of candidate IMRT plans was obtained by varying the importance factors for the planning target volume (PTV) and the organ-at-risk (OAR) in combination with simulated annealing to explore a large part of the solution space. The Pareto set for the PTV and OAR was analysed to demonstrate how the selection of the weighting factors influenced which part of the solution space was explored. An influence diagram based on a Bayesian network with 18 nodes was designed to model the decision process for plan selection. The model possessed nodes for clinical laboratory results, tumour grading, staging information, patient-specific information, dosimetric information, complications and survival statistics from clinical studies. A utility node was utilized for the decision-making process. The influence diagram successfully ranked the plans based on the available information. Sensitivity analyses were used to judge the reasonableness of the diagram and the results. In conclusion, influence diagrams lend themselves well to modelling the decision processes for IMRT plan selection. They provide an excellent means to incorporate the probabilistic nature of data and beliefs into one model. They also provide a means for introducing evidence-based medicine, in the form of results of clinical trials, into the decision-making process

Hierarchical amino acid utilization and its influence on fermentation dynamics: rifamycin B fermentation using Amycolatopsis mediterranei S699, a case study

DEFF Research Database (Denmark)

Bapat, Prashant Madhusudhan; Das, D.; Sohoni, Sujata Vijay

2006-01-01

Background: Industrial fermentation typically uses complex nitrogen substrates which consist of mixture of amino acids. The uptake of amino acids is known to be mediated by several amino acid transporters with certain preferences. However, models to predict this preferential uptake are not availa......Background: Industrial fermentation typically uses complex nitrogen substrates which consist of mixture of amino acids. The uptake of amino acids is known to be mediated by several amino acid transporters with certain preferences. However, models to predict this preferential uptake...... predicted simultaneous uptake of amino acids at low cas concentrations and sequential uptake at high cas concentrations. The simulated profile of the key enzymes implies the presence of specific transporters for small groups of amino acids. Conclusion: The work demonstrates utility of the cybernetic model...... unravels formation and utilization of ammonia as well as its inhibitory role during amino acid uptake. Our results have implications for model based optimization and monitoring of other industrial fermentation processes involving complex nitrogen substrate....

Do social utility judgments influence attentional processing?

Science.gov (United States)

Shore, Danielle M; Heerey, Erin A

2013-10-01

Research shows that social judgments influence decision-making in social environments. For example, judgments about an interaction partners' trustworthiness affect a variety of social behaviors and decisions. One mechanism by which social judgments may influence social decisions is by biasing the automatic allocation of attention toward certain social partners, thereby shaping the information people acquire. Using an attentional blink paradigm, we investigate how trustworthiness judgments alter the allocation of attention to social stimuli in a set of two experiments. The first experiment investigates trustworthiness judgments based solely on a social partner's facial appearance. The second experiment examines the effect of trustworthiness judgments based on experienced behavior. In the first, strong appearance-based judgments (positive and negative) enhanced stimulus recognizability but did not alter the size of the attentional blink, suggesting that appearance-based social judgments enhance face memory but do not affect pre-attentive processing. However, in the second experiment, in which judgments were based on behavioral experience rather than appearance, positive judgments enhanced pre-attentive processing of trustworthy faces. This suggests that a stimulus's potential benefits, rather than its disadvantages, shape the automatic distribution of attentional resources. These results have implications for understanding how appearance- and behavior-based social cues shape attention distribution in social environments. Copyright © 2013 Elsevier B.V. All rights reserved.

Utility applications and broadband networks

Energy Technology Data Exchange (ETDEWEB)

Chebra, R.; Taylor, P.

2003-02-01

A detailed analytical model of a cable network that would be capable of providing utilities with such services as automatic meter reading, on-line ability to remotely connect and disconnect commodity service, outage notification, tamper detection, direct utility-initiated load control, indirect user prescribed load control, and user access to energy consumption information, is described. The paper provides an overview of of the zones of focus that must be addressed -- market assessment, competitive analysis, product identification, economic model development, assessment of skill set requirements, performance monitoring and tracking, and various technical issues -- to identify any gaps in the organisation's ability to fully develop such a plan. Developers of the model field tested it in 1995 using some benchmarks that were available at that time, and found that the benefit afforded by direct labor saving was not sufficient to cover the capital expenditure of the advanced utility gateway connected to the cable network. However, since 1995 the unanticipated shift in the derived consumer value from a host of cable-based communications services has rendered these original projections irrelevant. Since national communications organizations concentrate on 'tier one' or at best 'tier two' cities (roughly corresponding to the NFL franchise cities and baseball farm team cities), the uncovered rural and suburban areas of the country create a significant digital divide within the population. The developers of the model contend that these unserviced areas provide utilities, especially municipal utilities, with an excellent opportunity to step into the gap and provide a full range of services that includes water, electricity and communications. The proposed model provides the foundation for utilities upon which to base their ultimate implementation decisions.

Business model innovation for Local Energy Management: a perspective from Swiss utilities

Directory of Open Access Journals (Sweden)

Emanuele Facchinetti

2016-08-01

Full Text Available The successful deployment of the energy transition relies on a deep reorganization of the energy market. Business model innovation is recognized as a key driver of this process. This work contributes to this topic by providing to potential Local Energy Management stakeholders and policy makers a conceptual framework guiding the Local Energy Management business model innovation. The main determinants characterizing Local Energy Management concepts and impacting its business model innovation are identified through literature reviews on distributed generation typologies and customer/investor preferences related to new business opportunities emerging with the energy transition. Afterwards, the relation between the identified determinants and the Local Energy Management business model solution space is analyzed based on semi-structured interviews with managers of Swiss utilities companies. The collected managers’ preferences serve as explorative indicators supporting the business model innovation process and provide insights to policy makers on challenges and opportunities related to Local Energy Management.

The influence of referral protocols on the utilization of magnetic resonance imaging: evidence from Manitoba

Energy Technology Data Exchange (ETDEWEB)

Mustard, C.A.; McClarty, B.M.; MacEwan, D.W. [Manitoba Univ., Winnipeg, MB (Canada)

1994-04-01

The influence of referral protocols on the utilization of magnetic resonance imaging (MRI) services was studied. Three neuroradiologists and one radiologist reviewed the indications for MRI for 198 referrals to a facility in Winnipeg, selected at random from patients seen in 1991 for suspected disorders of the brain or the spine. Out-of-province referrals had not been subject to referral protocols, whereas those from within Manitoba had been subject to such protocols. At least three of the four radiologists agreed on whether an examination was appropriate in 88.4 % of the cases. Out-of-province referrals were significantly more likely to be considered inappropriate for MRI (24 %) than referrals from within Manitoba (10 %). It was estimated that the combined effect of instituting protocols and reviewing each referral before the examination could result in a 16 % to 31 % reduction in the demand for MRI services without compromising diagnostic information. 18 refs., 3 tabs.

Dealing with the paradox of energy efficiency promotion by electric utilities

International Nuclear Information System (INIS)

Sousa, José Luís; Martins, António Gomes; Jorge, Humberto

2013-01-01

Utility-based Demand-Side Management (DSM) programmes started after the oil crises of the 70's and were adopted by utilities as a standard practice. However, deregulation of the electricity industry threatened DSM. More recent concerns regarding energy dependence and environmental impact of energy use caused renewed attention on the utilities role in energy efficiency fostering. EE is presently a cross-cutting issue, influencing energy policy definition and regulatory activity worldwide. Some instruments for influencing the behaviour of electric utilities in the market are used by regulators, corresponding to both impositions and stimuli, such as defining savings targets or decoupling profits from energy sales. The paper addresses categories of regulatory instruments and refers to examples of countries and regions using these identified categories of instruments. Although some cases show voluntary involvement of utilities in EE promotion on the grounds of customer retention strategies, there is a clear prevalence of regulatory constrained markets where utilities rationally engage in energy efficiency promotion

Selection Strategies for Social Influence in the Threshold Model

Science.gov (United States)

Karampourniotis, Panagiotis; Szymanski, Boleslaw; Korniss, Gyorgy

The ubiquity of online social networks makes the study of social influence extremely significant for its applications to marketing, politics and security. Maximizing the spread of influence by strategically selecting nodes as initiators of a new opinion or trend is a challenging problem. We study the performance of various strategies for selection of large fractions of initiators on a classical social influence model, the Threshold model (TM). Under the TM, a node adopts a new opinion only when the fraction of its first neighbors possessing that opinion exceeds a pre-assigned threshold. The strategies we study are of two kinds: strategies based solely on the initial network structure (Degree-rank, Dominating Sets, PageRank etc.) and strategies that take into account the change of the states of the nodes during the evolution of the cascade, e.g. the greedy algorithm. We find that the performance of these strategies depends largely on both the network structure properties, e.g. the assortativity, and the distribution of the thresholds assigned to the nodes. We conclude that the optimal strategy needs to combine the network specifics and the model specific parameters to identify the most influential spreaders. Supported in part by ARL NS-CTA, ARO, and ONR.

The Cost-Effectiveness of Dual Mobility Implants for Primary Total Hip Arthroplasty: A Computer-Based Cost-Utility Model.

Science.gov (United States)

Barlow, Brian T; McLawhorn, Alexander S; Westrich, Geoffrey H

2017-05-03

Dislocation remains a clinically important problem following primary total hip arthroplasty, and it is a common reason for revision total hip arthroplasty. Dual mobility (DM) implants decrease the risk of dislocation but can be more expensive than conventional implants and have idiosyncratic failure mechanisms. The purpose of this study was to investigate the cost-effectiveness of DM implants compared with conventional bearings for primary total hip arthroplasty. Markov model analysis was conducted from the societal perspective with use of direct and indirect costs. Costs, expressed in 2013 U.S. dollars, were derived from the literature, the National Inpatient Sample, and the Centers for Medicare & Medicaid Services. Effectiveness was expressed in quality-adjusted life years (QALYs). The model was populated with health state utilities and state transition probabilities derived from previously published literature. The analysis was performed for a patient's lifetime, and costs and effectiveness were discounted at 3% annually. The principal outcome was the incremental cost-effectiveness ratio (ICER), with a willingness-to-pay threshold of $100,000/QALY. Sensitivity analyses were performed to explore relevant uncertainty. In the base case, DM total hip arthroplasty showed absolute dominance over conventional total hip arthroplasty, with lower accrued costs ($39,008 versus $40,031 U.S. dollars) and higher accrued utility (13.18 versus 13.13 QALYs) indicating cost-savings. DM total hip arthroplasty ceased being cost-saving when its implant costs exceeded those of conventional total hip arthroplasty by $1,023, and the cost-effectiveness threshold for DM implants was $5,287 greater than that for conventional implants. DM was not cost-effective when the annualized incremental probability of revision from any unforeseen failure mechanism or mechanisms exceeded 0.29%. The probability of intraprosthetic dislocation exerted the most influence on model results. This model

Market research for electric utilities

International Nuclear Information System (INIS)

Shippee, G.

1999-01-01

Marketing research is increasing in importance as utilities become more marketing oriented. Marketing research managers need to maintain autonomy from the marketing director or ad agency and make sure their work is relevant to the utility's operation. This article will outline a model marketing research program for an electric utility. While a utility may not conduct each and every type of research described, the programs presented offer a smorgasbord of activities which successful electric utility marketers often use or have access to

The influence of societal individualism on a century of tobacco use: modelling the prevalence of smoking.

Science.gov (United States)

Lang, John C; Abrams, Daniel M; De Sterck, Hans

2015-12-22

Smoking of tobacco is estimated to have caused approximately six million deaths worldwide in 2014. Responding effectively to this epidemic requires a thorough understanding of how smoking behaviour is transmitted and modified. We present a new mathematical model of the social dynamics that cause cigarette smoking to spread in a population, incorporating aspects of individual and social utility. Model predictions are tested against two independent data sets spanning 25 countries: a newly compiled century-long composite data set on smoking prevalence, and Hofstede's individualism/collectivism measure (IDV). The general model prediction that more individualistic societies will show faster adoption and cessation of smoking is supported by the full 25 country smoking prevalence data set. Calibration of the model to the available smoking prevalence data is possible in a subset of 7 countries. Consistency of fitted model parameters with an additional, independent, data set further supports our model: the fitted value of the country-specific model parameter that determines the relative importance of social and individual factors in the decision of whether or not to smoke, is found to be significantly correlated with Hofstede's IDV for the 25 countries in our data set. Our model in conjunction with extensive data on smoking prevalence provides evidence for the hypothesis that individualism/collectivism may have an important influence on the dynamics of smoking prevalence at the aggregate, population level. Significant implications for public health interventions are discussed.

Energy Saving Performance Analysis of An Inverter-based Regenerative Power Re-utilization Device for Urban Rail Transit

Science.gov (United States)

Li, Jin; Qiu, Zhiling; Hu, Leilei

2018-04-01

The inverter-based regenerative braking power utilization devices can re-utilize the regenerative energy, thus reduce the energy consumption of urban rail transit. In this paper the power absorption principle of the inverter-based device is introduced, then the key influencing factors of energy saving performance are analyzed based on the absorption model. The field operation data verified that the control DC voltage plays an important role and lower control DC voltage yields more energy saving. Also, the one year energy saving performance data of an inverter-based re-utilization device located in NanJing S8 line is provided, and more than 1.2 million kWh energy is recovered in the one year operation.

The influence of microstructure on surface strain distributions in a nickel micro-tension specimen

International Nuclear Information System (INIS)

Turner, T J; Shade, P A; Schuren, J C; Groeber, M A

2013-01-01

This work presents an integrated experimental and modeling approach for examining the deformation of a pure nickel polycrystal utilizing micro-mechanical testing and a crystal-based elasto-viscoplastic finite-element model (CPFEM). The objective is to study the influence of microstructure on the heterogeneous deformation in polycrystalline materials, and to utilize a modeling framework to explore aspects of the deformation that are difficult or impossible to measure experimentally. To accomplish this, a micro-tension specimen containing 259 grains was created from a pure nickel foil material and deformed in uniaxial tension. After the deformation, the specimen was destructively serial sectioned in concert with electron back scattering diffraction, and these data were used to instantiate a CPFEM simulation. The material parameters in the CPFEM model were calibrated by matching the experimental macroscopic stress-strain response of the micro-tension specimen, and then the simulation results were compared with experimental surface deformations measured with digital image correlation. After validating the simulation results by comparing measured and predicted surface strain distributions, a parametric study of the influence of both crystallographic texture and grain morphology is presented to better understand the influence of microstructure on the development of heterogeneous deformation in the pure nickel polycrystalline material. (paper)

Stochastic and Statistical Analysis of Utility Revenues and Weather Data Analysis for Consumer Demand Estimation in Smart Grids.

Science.gov (United States)

Ali, S M; Mehmood, C A; Khan, B; Jawad, M; Farid, U; Jadoon, J K; Ali, M; Tareen, N K; Usman, S; Majid, M; Anwar, S M

2016-01-01

In smart grid paradigm, the consumer demands are random and time-dependent, owning towards stochastic probabilities. The stochastically varying consumer demands have put the policy makers and supplying agencies in a demanding position for optimal generation management. The utility revenue functions are highly dependent on the consumer deterministic stochastic demand models. The sudden drifts in weather parameters effects the living standards of the consumers that in turn influence the power demands. Considering above, we analyzed stochastically and statistically the effect of random consumer demands on the fixed and variable revenues of the electrical utilities. Our work presented the Multi-Variate Gaussian Distribution Function (MVGDF) probabilistic model of the utility revenues with time-dependent consumer random demands. Moreover, the Gaussian probabilities outcome of the utility revenues is based on the varying consumer n demands data-pattern. Furthermore, Standard Monte Carlo (SMC) simulations are performed that validated the factor of accuracy in the aforesaid probabilistic demand-revenue model. We critically analyzed the effect of weather data parameters on consumer demands using correlation and multi-linear regression schemes. The statistical analysis of consumer demands provided a relationship between dependent (demand) and independent variables (weather data) for utility load management, generation control, and network expansion.

Evaluation of remedial alternative of a LNAPL plume utilizing groundwater modeling

International Nuclear Information System (INIS)

Johnson, T.; Way, S.; Powell, G.

1997-01-01

The TIMES model was utilized to evaluate remedial options for a large LNAPL spill that was impacting the North Platte River in Glenrock, Wyoming. LNAPL was found discharging into the river from the adjoining alluvial aquifer. Subsequent investigations discovered an 18 hectare plume extended across the alluvium and into a sandstone bedrock outcrop to the south of the river. The TIMES model was used to estimate the LNAPL volume and to evaluate options for optimizing LNAPL recovery. Data collected from recovery and monitoring wells were used for model calibration. A LNAPL volume of 5.5 million L was estimated, over 3.0 million L of which is in the sandstone bedrock. An existing product recovery system was evaluated for its effectiveness. Three alternative recovery scenarios were also evaluated to aid in selecting the most cost-effective and efficient recovery system for the site. An active wellfield hydraulically upgradient of the existing recovery system was selected as most appropriate to augment the existing system in recovering LNAPL efficiently

The Influence of Social and Environmental Labels on Purchasing: An Information and Systematic-heuristic Processing Approach

Directory of Open Access Journals (Sweden)

Raquel Redondo Palomo

2015-07-01

Full Text Available This paper aims at exploring how social and environmental (SE labels influence purchasing. By drawing on the information processing and the systematic-heuristic models, this study tests the process followed by consumers when purchasing SE labeled-products. Information was gathered through a structured questionnaire in personal interviews with 400 consumers responsible for household shopping of Fast-moving Consumer Goods (FMCG, who were randomly approached at shopping malls in four areas of Madrid, Spain. They were asked about recognition, knowledge, credibility, perceived utility and purchases on 12 different labels; the influence of these variables on purchase is modeled and tested by path analysis. This study suggests that a systematic-heuristic information processing occurs when consumers buy SE-labeled FMCG products, as the purchase of this type of goods depends on the recognition of a label, knowledge of the issue/issuer, as well as the credibility and the perceived utility of SE labels. Motivation for being informed influences the process, being an antecedent of awareness, comprehension and perceived utility. This model shows a dual processing mode: systematic and heuristic, where the lack of cognitive capacity could explain why these two processing modes co-occur. This paper adds value to existing literature on SE labels and consumption by applying the information processing model, which has not been used before in the field of responsible consumption, in addition to open a promising avenue for research, by offering complementary theories to the existing ones, based on attitudes.

Utility of Social Modeling in Assessment of a State’s Propensity for Nuclear Proliferation

Energy Technology Data Exchange (ETDEWEB)

Coles, Garill A.; Brothers, Alan J.; Whitney, Paul D.; Dalton, Angela C.; Olson, Jarrod; White, Amanda M.; Cooley, Scott K.; Youchak, Paul M.; Stafford, Samuel V.

2011-06-01

This report is the third and final report out of a set of three reports documenting research for the U.S. Department of Energy (DOE) National Security Administration (NASA) Office of Nonproliferation Research and Development NA-22 Simulations, Algorithms, and Modeling program that investigates how social modeling can be used to improve proliferation assessment for informing nuclear security, policy, safeguards, design of nuclear systems and research decisions. Social modeling has not to have been used to any significant extent in a proliferation studies. This report focuses on the utility of social modeling as applied to the assessment of a State's propensity to develop a nuclear weapons program.

Market research for electric utilities

Energy Technology Data Exchange (ETDEWEB)

Shippee, G.

1999-12-01

Marketing research is increasing in importance as utilities become more marketing oriented. Marketing research managers need to maintain autonomy from the marketing director or ad agency and make sure their work is relevant to the utility's operation. This article will outline a model marketing research program for an electric utility. While a utility may not conduct each and every type of research described, the programs presented offer a smorgasbord of activities which successful electric utility marketers often use or have access to.

Modelling Influence and Opinion Evolution in Online Collective Behaviour.

Directory of Open Access Journals (Sweden)

Corentin Vande Kerckhove

Full Text Available Opinion evolution and judgment revision are mediated through social influence. Based on a large crowdsourced in vitro experiment (n = 861, it is shown how a consensus model can be used to predict opinion evolution in online collective behaviour. It is the first time the predictive power of a quantitative model of opinion dynamics is tested against a real dataset. Unlike previous research on the topic, the model was validated on data which did not serve to calibrate it. This avoids to favor more complex models over more simple ones and prevents overfitting. The model is parametrized by the influenceability of each individual, a factor representing to what extent individuals incorporate external judgments. The prediction accuracy depends on prior knowledge on the participants' past behaviour. Several situations reflecting data availability are compared. When the data is scarce, the data from previous participants is used to predict how a new participant will behave. Judgment revision includes unpredictable variations which limit the potential for prediction. A first measure of unpredictability is proposed. The measure is based on a specific control experiment. More than two thirds of the prediction errors are found to occur due to unpredictability of the human judgment revision process rather than to model imperfection.

Modeling the influence of organic acids on soil weathering

Science.gov (United States)

Lawrence, Corey R.; Harden, Jennifer W.; Maher, Kate

2014-01-01

Biological inputs and organic matter cycling have long been regarded as important factors in the physical and chemical development of soils. In particular, the extent to which low molecular weight organic acids, such as oxalate, influence geochemical reactions has been widely studied. Although the effects of organic acids are diverse, there is strong evidence that organic acids accelerate the dissolution of some minerals. However, the influence of organic acids at the field-scale and over the timescales of soil development has not been evaluated in detail. In this study, a reactive-transport model of soil chemical weathering and pedogenic development was used to quantify the extent to which organic acid cycling controls mineral dissolution rates and long-term patterns of chemical weathering. Specifically, oxalic acid was added to simulations of soil development to investigate a well-studied chronosequence of soils near Santa Cruz, CA. The model formulation includes organic acid input, transport, decomposition, organic-metal aqueous complexation and mineral surface complexation in various combinations. Results suggest that although organic acid reactions accelerate mineral dissolution rates near the soil surface, the net response is an overall decrease in chemical weathering. Model results demonstrate the importance of organic acid input concentrations, fluid flow, decomposition and secondary mineral precipitation rates on the evolution of mineral weathering fronts. In particular, model soil profile evolution is sensitive to kaolinite precipitation and oxalate decomposition rates. The soil profile-scale modeling presented here provides insights into the influence of organic carbon cycling on soil weathering and pedogenesis and supports the need for further field-scale measurements of the flux and speciation of reactive organic compounds.

Impact of Individual-, Environmental-, and Policy-Level Factors on Health Care Utilization Among US Farmworkers

Science.gov (United States)

Mayer, Joni A.; Gabbard, Susan; Kronick, Richard G.; Roesch, Scott C.; Malcarne, Vanessa L.; Zuniga, Maria L.

2011-01-01

Objectives. We examined individual-, environmental-, and policy-level correlates of US farmworker health care utilization, guided by the behavioral model for vulnerable populations and the ecological model. Methods. The 2006 and 2007 administrations of the National Agricultural Workers Survey (n = 2884) provided the primary data. Geographic information systems, the 2005 Uniform Data System, and rurality and border proximity indices provided environmental variables. To identify factors associated with health care use, we performed logistic regression using weighted hierarchical linear modeling. Results. Approximately half (55.3%) of farmworkers utilized US health care in the previous 2 years. Several factors were independently associated with use at the individual level (gender, immigration and migrant status, English proficiency, transportation access, health status, and non-US health care utilization), the environmental level (proximity to US–Mexico border), and the policy level (insurance status and workplace payment structure). County Federally Qualified Health Center resources were not independently associated. Conclusions. We identified farmworkers at greatest risk for poor access. We made recommendations for change to farmworker health care access at all 3 levels of influence, emphasizing Federally Qualified Health Center service delivery. PMID:21330594

Utilization of building information modeling in infrastructure’s design and construction

Science.gov (United States)

Zak, Josef; Macadam, Helen

2017-09-01

Building Information Modeling (BIM) is a concept that has gained its place in the design, construction and maintenance of buildings in Czech Republic during recent years. This paper deals with description of usage, applications and potential benefits and disadvantages connected with implementation of BIM principles in the preparation and construction of infrastructure projects. Part of the paper describes the status of BIM implementation in Czech Republic, and there is a review of several virtual design and construction practices in Czech Republic. Examples of best practice are presented from current infrastructure projects. The paper further summarizes experiences with new technologies gained from the application of BIM related workflows. The focus is on the BIM model utilization for the machine control systems on site, quality assurance, quality management and construction management.

Clinical Utility and Safety of a Model-Based Patient-Tailored Dose of Vancomycin in Neonates.

Science.gov (United States)

Leroux, Stéphanie; Jacqz-Aigrain, Evelyne; Biran, Valérie; Lopez, Emmanuel; Madeleneau, Doriane; Wallon, Camille; Zana-Taïeb, Elodie; Virlouvet, Anne-Laure; Rioualen, Stéphane; Zhao, Wei

2016-04-01

Pharmacokinetic modeling has often been applied to evaluate vancomycin pharmacokinetics in neonates. However, clinical application of the model-based personalized vancomycin therapy is still limited. The objective of the present study was to evaluate the clinical utility and safety of a model-based patient-tailored dose of vancomycin in neonates. A model-based vancomycin dosing calculator, developed from a population pharmacokinetic study, has been integrated into the routine clinical care in 3 neonatal intensive care units (Robert Debré, Cochin Port Royal, and Clocheville hospitals) between 2012 and 2014. The target attainment rate, defined as the percentage of patients with a first therapeutic drug monitoring serum vancomycin concentration achieving the target window of 15 to 25 mg/liter, was selected as an endpoint for evaluating the clinical utility. The safety evaluation was focused on nephrotoxicity. The clinical application of the model-based patient-tailored dose of vancomycin has been demonstrated in 190 neonates. The mean (standard deviation) gestational and postnatal ages of the study population were 31.1 (4.9) weeks and 16.7 (21.7) days, respectively. The target attainment rate increased from 41% to 72% without any case of vancomycin-related nephrotoxicity. This proof-of-concept study provides evidence for integrating model-based antimicrobial therapy in neonatal routine care. Copyright © 2016, American Society for Microbiology. All Rights Reserved.

On the use of prior information in modelling metabolic utilization of energy in growing pigs

DEFF Research Database (Denmark)

Strathe, Anders Bjerring; Jørgensen, Henry; Fernández, José Adalberto

2011-01-01

Construction of models that provide a realistic representation of metabolic utilization of energy in growing animals tend to be over-parameterized because data generated from individual metabolic studies are often sparse. In the Bayesian framework prior information can enter the data analysis......, PD and LD) made on a given pig at a given time followed a multivariate normal distribution. Two different equation systems were adopted from Strathe et al. (2010), generating the expected values in the multivariate normal distribution. Non-informative prior distributions were assigned for all model......, kp and kf, respectively. Utilizing both sets of priors showed that the maintenance component was sensitive to the statement of prior belief and, hence, that the estimate of 0.91 MJkg0.60d1 (95% CI: 0.78; 1.09) should be interpreted with caution. It was shown that boars were superior in depositing...

Comparison of the Utility of Two Assessments for Explaining and Predicting Productivity Change: Well-Being Versus an HRA.

Science.gov (United States)

Gandy, William M; Coberley, Carter; Pope, James E; Rula, Elizabeth Y

2016-01-01

To compare utility of employee well-being to health risk assessment (HRA) as predictors of productivity change. Panel data from 2189 employees who completed surveys 2 years apart were used in hierarchical models comparing the influence of well-being and health risk on longitudinal changes in presenteeism and job performance. Absenteeism change was evaluated in a nonexempt subsample. Change in well-being was the most significant independent predictor of productivity change across all three measures. Comparing hierarchical models, well-being models performed significantly better than HRA models. The HRA added no incremental explanatory power over well-being in combined models. Alone, nonphysical health well-being components outperformed the HRA for all productivity measures. Well-being offers a more comprehensive measure of factors that influence productivity and can be considered preferential to HRA in understanding and addressing suboptimal productivity.

The influences of implementing state-mandated science assessment on teacher practice

Science.gov (United States)

Katzmann, Jason Matthew

Four high school Biology teachers, two novice and two experienced, participated in a year and a half case study. By utilizing a naturalistic paradigm, the four individuals were studied in their natural environment, their classrooms. Data sources included: three semi-structured interviews, classroom observation field notes, and classroom artifacts. Through cross-case analysis and a constant comparative methodology, coding nodes where combined and refined resulting in the final themes for discussion. The following research question was investigated: what is the impact of high-stakes testing on high school Biology teacher's instructional planning, instructional practices and classroom assessments? Seven final themes were realized: Assessment, CSAP, Planning, Pressure, Standards, Teaching and Time. Each theme was developed and discussed utilizing each participant's voice. Trustworthiness of this study was established via five avenues: triangulation of data sources, credibility, transferability, dependability and confirmability. A model of the influences of high-stakes testing on teacher practice was developed to describe the seven themes (Figure 5). This model serves as an illustration of the complex nature of teacher practice and the influences upon it. The four participants in this study were influenced by high-stakes assessment. It influenced their instructional decisions, assessment practices, use of time, planning decisions and decreased the amount of inquiry that occurred in the classroom. Implications of this research and future research directions are described.

Predictors of resource utilization in transsphenoidal surgery for Cushing disease.

Science.gov (United States)

Little, Andrew S; Chapple, Kristina

2013-08-01

The short-term cost associated with subspecialized surgical care is an increasingly important metric and economic concern. This study sought to determine factors associated with hospital charges in patients undergoing transsphenoidal surgery for Cushing disease in an effort to identify the drivers of resource utilization. The authors analyzed the Nationwide Inpatient Sample (NIS) hospital discharge database from 2007 to 2009 to determine factors that influenced hospital charges in patients who had undergone transsphenoidal surgery for Cushing disease. The NIS discharge database approximates a 20% sample of all inpatient admissions to nonfederal US hospitals. A multistep regression model was developed that adjusted for patient demographics, acuity measures, comorbidities, hospital characteristics, and complications. In 116 hospitals, 454 transsphenoidal operations were performed. The mean hospital charge was $48,272 ± $32,060. A multivariate regression model suggested that the primary driver of resource utilization was length of stay (LOS), followed by surgeon volume, hospital characteristics, and postoperative complications. A 1% increase in LOS increased hospital charges by 0.60%. Patient charges were 13% lower when performed by high-volume surgeons compared with low-volume surgeons and 22% lower in large hospitals compared with small hospitals. Hospital charges were 12% lower in cases with no postoperative neurological complications. The proposed model accounted for 46% of hospital charge variance. This analysis of hospital charges in transsphenoidal surgery for Cushing disease suggested that LOS, hospital characteristics, surgeon volume, and postoperative complications are important predictors of resource utilization. These findings may suggest opportunities for improvement.

Dispersion modeling of accidental releases of toxic gases - Comparison of the models and their utility for the fire brigades.

Science.gov (United States)

Stenzel, S.; Baumann-Stanzer, K.

2009-04-01

Dispersion modeling of accidental releases of toxic gases - Comparison of the models and their utility for the fire brigades. Sirma Stenzel, Kathrin Baumann-Stanzer In the case of accidental release of hazardous gases in the atmosphere, the emergency responders need a reliable and fast tool to assess the possible consequences and apply the optimal countermeasures. For hazard prediction and simulation of the hazard zones a number of air dispersion models are available. The most model packages (commercial or free of charge) include a chemical database, an intuitive graphical user interface (GUI) and automated graphical output for display the results, they are easy to use and can operate fast and effective during stress situations. The models are designed especially for analyzing different accidental toxic release scenarios ("worst-case scenarios"), preparing emergency response plans and optimal countermeasures as well as for real-time risk assessment and management. There are also possibilities for model direct coupling to automatic meteorological stations, in order to avoid uncertainties in the model output due to insufficient or incorrect meteorological data. Another key problem in coping with accidental toxic release is the relative width spectrum of regulations and values, like IDLH, ERPG, AEGL, MAK etc. and the different criteria for their application. Since the particulate emergency responders and organizations require for their purposes unequal regulations and values, it is quite difficult to predict the individual hazard areas. There are a quite number of research studies and investigations coping with the problem, anyway the end decision is up to the authorities. The research project RETOMOD (reference scenarios calculations for toxic gas releases - model systems and their utility for the fire brigade) was conducted by the Central Institute for Meteorology and Geodynamics (ZAMG) in cooperation with the Vienna fire brigade, OMV Refining & Marketing GmbH and

Beyond Emotion Regulation: Emotion Utilization and Adaptive Functioning

OpenAIRE

Izard, Carroll; Stark, Kevin; Trentacosta, Christopher; Schultz, David

2008-01-01

Recent research indicates that emotionality, emotion information processing, emotion knowledge, and discrete emotion experiences may influence and interact with emotion utilization, that is, the effective use of the inherently adaptive and motivational functions of emotions. Strategies individuals learn for emotion modulation and emotion utilization become stabilized in emerging affective-cognitive structures, or emotion schemas. In these emotion schemas, the feeling/motivational component of...

Numerical model of the influence function of deformable mirrors based on Bessel Fourier orthogonal functions

International Nuclear Information System (INIS)

Li Shun; Zhang Sijiong

2014-01-01

A numerical model is presented to simulate the influence function of deformable mirror actuators. The numerical model is formed by Bessel Fourier orthogonal functions, which are constituted of Bessel orthogonal functions and a Fourier basis. A detailed comparison is presented between the new Bessel Fourier model, the Zernike model, the Gaussian influence function and the modified Gaussian influence function. Numerical experiments indicate that the new numerical model is easy to use and more accurate compared with other numerical models. The new numerical model can be used for describing deformable mirror performances and numerical simulations of adaptive optics systems. (research papers)

Longitudinal predictive ability of mapping models: examining post-intervention EQ-5D utilities derived from baseline MHAQ data in rheumatoid arthritis patients.

Science.gov (United States)

Kontodimopoulos, Nick; Bozios, Panagiotis; Yfantopoulos, John; Niakas, Dimitris

2013-04-01

The purpose of this methodological study was to to provide insight into the under-addressed issue of the longitudinal predictive ability of mapping models. Post-intervention predicted and reported utilities were compared, and the effect of disease severity on the observed differences was examined. A cohort of 120 rheumatoid arthritis (RA) patients (60.0% female, mean age 59.0) embarking on therapy with biological agents completed the Modified Health Assessment Questionnaire (MHAQ) and the EQ-5D at baseline, and at 3, 6 and 12 months post-intervention. OLS regression produced a mapping equation to estimate post-intervention EQ-5D utilities from baseline MHAQ data. Predicted and reported utilities were compared with t test, and the prediction error was modeled, using fixed effects, in terms of covariates such as age, gender, time, disease duration, treatment, RF, DAS28 score, predicted and reported EQ-5D. The OLS model (RMSE = 0.207, R(2) = 45.2%) consistently underestimated future utilities, with a mean prediction error of 6.5%. Mean absolute differences between reported and predicted EQ-5D utilities at 3, 6 and 12 months exceeded the typically reported MID of the EQ-5D (0.03). According to the fixed-effects model, time, lower predicted EQ-5D and higher DAS28 scores had a significant impact on prediction errors, which appeared increasingly negative for lower reported EQ-5D scores, i.e., predicted utilities tended to be lower than reported ones in more severe health states. This study builds upon existing research having demonstrated the potential usefulness of mapping disease-specific instruments onto utility measures. The specific issue of longitudinal validity is addressed, as mapping models derived from baseline patients need to be validated on post-therapy samples. The underestimation of post-treatment utilities in the present study, at least in more severe patients, warrants further research before it is prudent to conduct cost-utility analyses in the context

Use of Influence Diagrams and Fuzzy Theory to Develop Assessment Method of Organizational Influences on Component Maintenance

International Nuclear Information System (INIS)

Yoonik Kim; Kwang-Won Ahn; Chang-Hyun Chung; Kil Yoo Kim; Joon-Eon Yang

2002-01-01

Organization can make influences on all the systems. Especially in case of nuclear power plants in which safety is established to be one of the most important operating goals, there have been a lot of research efforts for the hardware advancement. However in recent years, it has been widely recognized that organizational factors in nuclear power plants have an important influence on the safety attitudes and the safe behavior of individuals. Until now, any means to include assessments of organizational structure in probabilistic risk assessments have not been universally accepted. The objective of this work is to develop a method to assess organizational influences on component maintenance. Influence diagrams are introduced in this method as a decision making tool and fuzzy theory is used to reflect the vagueness in considering relevance of human activities in maintenance tasks. Introducing fuzzy theory to assess the organizational factors is deemed to a somewhat new trial, which makes it possible to convert linguistic vague descriptions into mathematical ones. Fuzzy linguistic descriptions offer an alternative and often complementary language to conventional, i.e., analytic approaches to modeling systems. Among the existing methodologies to assess organizational factors, the concept of the ω-factor model is utilized and the mechanism that organizational factors have influences on component maintenance is evaluated through composing influence diagrams. These influences go to failure rates and eventually affect component unavailability. Further study will make it possible that the influences of organizational factors on human error probabilities are incorporated into human reliability analysis and furthermore probabilistic safety assessment. (authors)

Identification of landscape features influencing gene flow: How useful are habitat selection models?

Science.gov (United States)

Gretchen H. Roffler; Michael K. Schwartz; Kristine Pilgrim; Sandra L. Talbot; George K. Sage; Layne G. Adams; Gordon Luikart

2016-01-01

Understanding how dispersal patterns are influenced by landscape heterogeneity is critical for modeling species connectivity. Resource selection function (RSF) models are increasingly used in landscape genetics approaches. However, because the ecological factors that drive habitat selection may be different from those influencing dispersal and gene flow, it is...

Changes in fibrinogen availability and utilization in an animal model of traumatic coagulopathy

DEFF Research Database (Denmark)

Hagemo, Jostein S; Jørgensen, Jørgen; Ostrowski, Sisse R

2013-01-01

Impaired haemostasis following shock and tissue trauma is frequently detected in the trauma setting. These changes occur early, and are associated with increased mortality. The mechanism behind trauma-induced coagulopathy (TIC) is not clear. Several studies highlight the crucial role of fibrinogen...... in posttraumatic haemorrhage. This study explores the coagulation changes in a swine model of early TIC, with emphasis on fibrinogen levels and utilization of fibrinogen....

A Discrete Monetary Economic Growth Model with the MIU Approach

Directory of Open Access Journals (Sweden)

Wei-Bin Zhang

2008-01-01

Full Text Available This paper proposes an alternative approach to economic growth with money. The production side is the same as the Solow model, the Ramsey model, and the Tobin model. But we deal with behavior of consumers differently from the traditional approaches. The model is influenced by the money-in-the-utility (MIU approach in monetary economics. It provides a mechanism of endogenous saving which the Solow model lacks and avoids the assumption of adding up utility over a period of time upon which the Ramsey approach is based.

Human resources management in the water utilities of Hermosillo and Mexicali

Directory of Open Access Journals (Sweden)

Edmundo Loera Burnes

2017-05-01

Full Text Available

This paper studies how the Human Resources Management Systems (HRMS influence the performance of water utilities in Mexico. The differentiated performance of the water utilities of the cities of Hermosillo and Mexicali were compared to their HRMS characteristics through the analysis of four categories: 1 Hiring policies, 2 Development and training, 3 Salaries, benefits and incentives, and 4 Sanctions systems. The main differences between these utilities are on categories 2 and 3, where Mexicali shows greater levels. The study provides a vision of water utilities from the point of view of HRMG, which has not been taken into account in previous research. Although Mexicali provides its workers with better training and incentives, it is observed that the influence of local governments and the excessive power of unions have led to weak HRMS that affect the performance of water utilities.

A proposed model of factors influencing hydrogen fuel cell vehicle acceptance

Science.gov (United States)

Imanina, N. H. Noor; Kwe Lu, Tan; Fadhilah, A. R.

2016-03-01

Issues such as environmental problem and energy insecurity keep worsening as a result of energy use from household to huge industries including automotive industry. Recently, a new type of zero emission vehicle, hydrogen fuel cell vehicle (HFCV) has received attention. Although there are argues on the feasibility of hydrogen as the future fuel, there is another important issue, which is the acceptance of HFCV. The study of technology acceptance in the early stage is a vital key for a successful introduction and penetration of a technology. This paper proposes a model of factors influencing green vehicle acceptance, specifically HFCV. This model is built base on two technology acceptance theories and other empirical studies of vehicle acceptance. It aims to provide a base for finding the key factors influencing new sustainable energy fuelled vehicle, HFCV acceptance which is achieved by explaining intention to accept HFCV. Intention is influenced by attitude, subjective norm and perceived behavioural control from Theory of Planned Behaviour and personal norm from Norm Activation Theory. In the framework, attitude is influenced by perceptions of benefits and risks, and social trust. Perceived behavioural control is influenced by government interventions. Personal norm is influenced by outcome efficacy and problem awareness.

Physical therapists familiarity and beliefs about health services utilization and health seeking behaviour.

Science.gov (United States)

Clewley, Derek; Rhon, Dan; Flynn, Tim; Koppenhaver, Shane; Cook, Chad

2018-02-21

Physical therapists' familiarity, perceptions, and beliefs about health services utilization and health seeking behaviour have not been previously assessed. The purposes of this study were to identify physical therapists' characteristics related to familiarity of health services utilization and health seeking behaviour, and to assess what health seeking behaviour factors providers felt were related to health services utilization. We administered a survey based on the Andersen behavioural model of health services utilization to physical therapists using social media campaigns and email between March and June of 2017. In addition to descriptive statistics, we performed binomial logistic regression analysis. We asked respondents to rate familiarity with health services utilization and health seeking behaviour and collected additional characteristic variables. Physical therapists are more familiar with health services utilization than health seeking behaviour. Those who are familiar with either construct tend to be those who assess for health services utilization, use health services utilization for a prognosis, and believe that health seeking behaviour is measurable. Physical therapists rated need and enabling factors as having more influence on health services utilization than predisposing and health belief factors. Physical therapists are generally familiar with health services utilization and health seeking behaviour; however, there appears to be a disconnect between what is familiar, what is perceived to be important, and what can be assessed for both health services utilization and health seeking behaviour. Copyright © 2018 Associação Brasileira de Pesquisa e Pós-Graduação em Fisioterapia. All rights reserved.

On the Influence of Inharmonicities in Model-Based Speech Enhancement

DEFF Research Database (Denmark)

Nørholm, Sidsel Marie; Jensen, Jesper Rindom; Christensen, Mads Græsbøll

2013-01-01

In relation to speech enhancement, we study the influence of modifying the harmonic signal model for voiced speech to include small perturbations in the frequencies of the harmonics. A perturbed signal model is incorporated in the nonlinear least squares method, the Capon filter and the amplitude...

Influence of the "surface effect" on the segregation parameters of S in Fe(100): A multi-scale modelling and Auger Electron Spectroscopy study

Science.gov (United States)

Barnard, P. E.; Terblans, J. J.; Swart, H. C.

2015-12-01

The article takes a new look at the process of atomic segregation by considering the influence of surface relaxation on the segregation parameters; the activation energy (Q), segregation energy (ΔG), interaction parameter (Ω) and the pre-exponential factor (D0). Computational modelling, namely Density Functional Theory (DFT) and the Modified Darken Model (MDM) in conjunction with Auger Electron Spectroscopy (AES) was utilized to study the variation of the segregation parameters for S in the surface region of Fe(100). Results indicate a variation in each of the segregation parameters as a function of the atomic layer under consideration. Values of the segregation parameters varied more dramatically as the surface layer is approached, with atomic layer 2 having the largest deviations in comparison to the bulk values. This atomic layer had the highest Q value and formed the rate limiting step for the segregation of S towards the Fe(100) surface. It was found that the segregation process is influenced by two sets of segregation parameters, those of the surface region formed by atomic layer 2, and those in the bulk material. This article is the first to conduct a full scale investigation on the influence of surface relaxation on segregation and labelled it the "surface effect".

Utilization of Short-Simulations for Tuning High-Resolution Climate Model

Science.gov (United States)

Lin, W.; Xie, S.; Ma, P. L.; Rasch, P. J.; Qian, Y.; Wan, H.; Ma, H. Y.; Klein, S. A.

2016-12-01

Many physical parameterizations in atmospheric models are sensitive to resolution. Tuning the models that involve a multitude of parameters at high resolution is computationally expensive, particularly when relying primarily on multi-year simulations. This work describes a complementary set of strategies for tuning high-resolution atmospheric models, using ensembles of short simulations to reduce the computational cost and elapsed time. Specifically, we utilize the hindcast approach developed through the DOE Cloud Associated Parameterization Testbed (CAPT) project for high-resolution model tuning, which is guided by a combination of short (tests have been found to be effective in numerous previous studies in identifying model biases due to parameterized fast physics, and we demonstrate that it is also useful for tuning. After the most egregious errors are addressed through an initial "rough" tuning phase, longer simulations are performed to "hone in" on model features that evolve over longer timescales. We explore these strategies to tune the DOE ACME (Accelerated Climate Modeling for Energy) model. For the ACME model at 0.25° resolution, it is confirmed that, given the same parameters, major biases in global mean statistics and many spatial features are consistent between Atmospheric Model Intercomparison Project (AMIP)-type simulations and CAPT-type hindcasts, with just a small number of short-term simulations for the latter over the corresponding season. The use of CAPT hindcasts to find parameter choice for the reduction of large model biases dramatically improves the turnaround time for the tuning at high resolution. Improvement seen in CAPT hindcasts generally translates to improved AMIP-type simulations. An iterative CAPT-AMIP tuning approach is therefore adopted during each major tuning cycle, with the former to survey the likely responses and narrow the parameter space, and the latter to verify the results in climate context along with assessment in

Influence of the partial volume correction method on (18)F-fluorodeoxyglucose brain kinetic modelling from dynamic PET images reconstructed with resolution model based OSEM.

Science.gov (United States)

Bowen, Spencer L; Byars, Larry G; Michel, Christian J; Chonde, Daniel B; Catana, Ciprian

2013-10-21

Kinetic parameters estimated from dynamic (18)F-fluorodeoxyglucose ((18)F-FDG) PET acquisitions have been used frequently to assess brain function in humans. Neglecting partial volume correction (PVC) for a dynamic series has been shown to produce significant bias in model estimates. Accurate PVC requires a space-variant model describing the reconstructed image spatial point spread function (PSF) that accounts for resolution limitations, including non-uniformities across the field of view due to the parallax effect. For ordered subsets expectation maximization (OSEM), image resolution convergence is local and influenced significantly by the number of iterations, the count density, and background-to-target ratio. As both count density and background-to-target values for a brain structure can change during a dynamic scan, the local image resolution may also concurrently vary. When PVC is applied post-reconstruction the kinetic parameter estimates may be biased when neglecting the frame-dependent resolution. We explored the influence of the PVC method and implementation on kinetic parameters estimated by fitting (18)F-FDG dynamic data acquired on a dedicated brain PET scanner and reconstructed with and without PSF modelling in the OSEM algorithm. The performance of several PVC algorithms was quantified with a phantom experiment, an anthropomorphic Monte Carlo simulation, and a patient scan. Using the last frame reconstructed image only for regional spread function (RSF) generation, as opposed to computing RSFs for each frame independently, and applying perturbation geometric transfer matrix PVC with PSF based OSEM produced the lowest magnitude bias kinetic parameter estimates in most instances, although at the cost of increased noise compared to the PVC methods utilizing conventional OSEM. Use of the last frame RSFs for PVC with no PSF modelling in the OSEM algorithm produced the lowest bias in cerebral metabolic rate of glucose estimates, although by less than 5% in

A laboratory-calibrated model of coho salmon growth with utility for ecological analyses

Science.gov (United States)

Manhard, Christopher V.; Som, Nicholas A.; Perry, Russell W.; Plumb, John M.

2018-01-01

We conducted a meta-analysis of laboratory- and hatchery-based growth data to estimate broadly applicable parameters of mass- and temperature-dependent growth of juvenile coho salmon (Oncorhynchus kisutch). Following studies of other salmonid species, we incorporated the Ratkowsky growth model into an allometric model and fit this model to growth observations from eight studies spanning ten different populations. To account for changes in growth patterns with food availability, we reparameterized the Ratkowsky model to scale several of its parameters relative to ration. The resulting model was robust across a wide range of ration allocations and experimental conditions, accounting for 99% of the variation in final body mass. We fit this model to growth data from coho salmon inhabiting tributaries and constructed ponds in the Klamath Basin by estimating habitat-specific indices of food availability. The model produced evidence that constructed ponds provided higher food availability than natural tributaries. Because of their simplicity (only mass and temperature are required as inputs) and robustness, ration-varying Ratkowsky models have utility as an ecological tool for capturing growth in freshwater fish populations.

Logistic regression models of factors influencing the location of bioenergy and biofuels plants

Science.gov (United States)

T.M. Young; R.L. Zaretzki; J.H. Perdue; F.M. Guess; X. Liu

2011-01-01

Logistic regression models were developed to identify significant factors that influence the location of existing wood-using bioenergy/biofuels plants and traditional wood-using facilities. Logistic models provided quantitative insight for variables influencing the location of woody biomass-using facilities. Availability of "thinnings to a basal area of 31.7m2/ha...

On the modeling of epidemics under the influence of risk perception

NARCIS (Netherlands)

De Lillo, S.; Fioriti, G.; Prioriello, M.L.

2017-01-01

An epidemic spreading model is presented in the framework of the kinetic theory of active particles. The model is characterized by the influence of risk perception which can reduce the diffusion of infection. The evolution of the system is modeled through nonlinear interactions, whose output is

Metabolic Engineering for Substrate Co-utilization

Science.gov (United States)

Gawand, Pratish

Production of biofuels and bio-based chemicals is being increasingly pursued by chemical industry to reduce its dependence on petroleum. Lignocellulosic biomass (LCB) is an abundant source of sugars that can be used for producing biofuels and bio-based chemicals using fermentation. Hydrolysis of LCB results in a mixture of sugars mainly composed of glucose and xylose. Fermentation of such a sugar mixture presents multiple technical challenges at industrial scale. Most industrial microorganisms utilize sugars in a sequential manner due to the regulatory phenomenon of carbon catabolite repression (CCR). Due to sequential utilization of sugars, the LCB-based fermentation processes suffer low productivities and complicated operation. Performance of fermentation processes can be improved by metabolic engineering of microorganisms to obtain superior characteristics such as high product yield. With increased computational power and availability of complete genomes of microorganisms, use of model-based metabolic engineering is now a common practice. The problem of sequential sugar utilization, however, is a regulatory problem, and metabolic models have never been used to solve such regulatory problems. The focus of this thesis is to use model-guided metabolic engineering to construct industrial strains capable of co-utilizing sugars. First, we develop a novel bilevel optimization algorithm SimUp, that uses metabolic models to identify reaction deletion strategies to force co-utilization of two sugars. We then use SimUp to identify reaction deletion strategies to force glucose-xylose co-utilization in Escherichia coli. To validate SimUp predictions, we construct three mutants with multiple gene knockouts and test them for glucose-xylose utilization characteristics. Two mutants, designated as LMSE2 and LMSE5, are shown to co-utilize glucose and xylose in agreement with SimUp predictions. To understand the molecular mechanism involved in glucose-xylose co-utilization of the

Elastic Model Transitions: a Hybrid Approach Utilizing Quadratic Inequality Constrained Least Squares (LSQI) and Direct Shape Mapping (DSM)

Science.gov (United States)

Jurenko, Robert J.; Bush, T. Jason; Ottander, John A.

2014-01-01

A method for transitioning linear time invariant (LTI) models in time varying simulation is proposed that utilizes both quadratically constrained least squares (LSQI) and Direct Shape Mapping (DSM) algorithms to determine physical displacements. This approach is applicable to the simulation of the elastic behavior of launch vehicles and other structures that utilize multiple LTI finite element model (FEM) derived mode sets that are propagated throughout time. The time invariant nature of the elastic data for discrete segments of the launch vehicle trajectory presents a problem of how to properly transition between models while preserving motion across the transition. In addition, energy may vary between flex models when using a truncated mode set. The LSQI-DSM algorithm can accommodate significant changes in energy between FEM models and carries elastic motion across FEM model transitions. Compared with previous approaches, the LSQI-DSM algorithm shows improvements ranging from a significant reduction to a complete removal of transients across FEM model transitions as well as maintaining elastic motion from the prior state.

The development of multi-objective optimization model for excess bagasse utilization: A case study for Thailand

International Nuclear Information System (INIS)

Buddadee, Bancha; Wirojanagud, Wanpen; Watts, Daniel J.; Pitakaso, Rapeepan

2008-01-01

In this paper, a multi-objective optimization model is proposed as a tool to assist in deciding for the proper utilization scheme of excess bagasse produced in sugarcane industry. Two major scenarios for excess bagasse utilization are considered in the optimization. The first scenario is the typical situation when excess bagasse is used for the onsite electricity production. In case of the second scenario, excess bagasse is processed for the offsite ethanol production. Then the ethanol is blended with an octane rating of 91 gasoline by a portion of 10% and 90% by volume respectively and the mixture is used as alternative fuel for gasoline vehicles in Thailand. The model proposed in this paper called 'Environmental System Optimization' comprises the life cycle impact assessment of global warming potential (GWP) and the associated cost followed by the multi-objective optimization which facilitates in finding out the optimal proportion of the excess bagasse processed in each scenario. Basic mathematical expressions for indicating the GWP and cost of the entire process of excess bagasse utilization are taken into account in the model formulation and optimization. The outcome of this study is the methodology developed for decision-making concerning the excess bagasse utilization available in Thailand in view of the GWP and economic effects. A demonstration example is presented to illustrate the advantage of the methodology which may be used by the policy maker. The methodology developed is successfully performed to satisfy both environmental and economic objectives over the whole life cycle of the system. It is shown in the demonstration example that the first scenario results in positive GWP while the second scenario results in negative GWP. The combination of these two scenario results in positive or negative GWP depending on the preference of the weighting given to each objective. The results on economics of all scenarios show the satisfied outcomes

Influence of deleting some of the inputs and outputs on efficiency status of units in DEA

Directory of Open Access Journals (Sweden)

Abbas ali Noora

2013-06-01

Full Text Available One of the important issues in data envelopment analysis (DEA is sensitivity analysis. This study discusses about deleting some of the inputs and outputs and investigates the influence of it on efficiency status of Decision Making Units (DMUs. To this end some models are presented for recognizing this influence on efficient DMUs. Model 2 (Model 3 in section 3 investigates the influence of deleting i(th input (r(th output on an efficient DMU. Thereafter these models are improved for deleting multiple inputs and outputs. Furthermore, a model is presented for recognizing the maximum number of inputs and (or outputs from among specified inputs and outputs which can be deleted, whereas an efficient DMU preserves its efficiency. Finally, the presented models are utilized for a set of DMUs and the results are reported.

Modelling characteristics of ferromagnetic cores with the influence of temperature

International Nuclear Information System (INIS)

Górecki, K; Rogalska, M; Zarȩbski, J; Detka, K

2014-01-01

The paper is devoted to modelling characteristics of ferromagnetic cores with the use of SPICE software. Some disadvantages of the selected literature models of such cores are discussed. A modified model of ferromagnetic cores taking into account the influence of temperature on the magnetizing characteristics and the core losses is proposed. The form of the elaborated model is presented and discussed. The correctness of this model is verified by comparing the calculated and the measured characteristics of the selected ferromagnetic cores.

Encoding of marginal utility across time in the human brain.

Science.gov (United States)

Pine, Alex; Seymour, Ben; Roiser, Jonathan P; Bossaerts, Peter; Friston, Karl J; Curran, H Valerie; Dolan, Raymond J

2009-07-29

Marginal utility theory prescribes the relationship between the objective property of the magnitude of rewards and their subjective value. Despite its pervasive influence, however, there is remarkably little direct empirical evidence for such a theory of value, let alone of its neurobiological basis. We show that human preferences in an intertemporal choice task are best described by a model that integrates marginally diminishing utility with temporal discounting. Using functional magnetic resonance imaging, we show that activity in the dorsal striatum encodes both the marginal utility of rewards, over and above that which can be described by their magnitude alone, and the discounting associated with increasing time. In addition, our data show that dorsal striatum may be involved in integrating subjective valuation systems inherent to time and magnitude, thereby providing an overall metric of value used to guide choice behavior. Furthermore, during choice, we show that anterior cingulate activity correlates with the degree of difficulty associated with dissonance between value and time. Our data support an integrative architecture for decision making, revealing the neural representation of distinct subcomponents of value that may contribute to impulsivity and decisiveness.

A prospective study of the influence of the UPPS model of impulsivity on the co-occurrence of bulimic symptoms and non-suicidal self-injury.

Science.gov (United States)

Peterson, Claire M; Fischer, Sarah

2012-12-01

Individuals with bulimia nervosa (BN) often report co-morbid symptoms of non suicidal self-injury (NSSI). This study examined the influence of (lack of) perseverance, (lack of) premeditation, sensation seeking, and negative urgency (the tendency to act rashly when experiencing negative affect) on these two behavior patterns. We hypothesized that negative urgency influences vulnerability to multiple maladaptive behavior patterns, thus influencing the co-occurrence of NSSI and BN symptoms. 489 young adult women completed baseline assessments, and 209 completed an eight month follow-up assessment. Structural equation modeling was used to examine the influence of four personality pathways to impulsive behavior simultaneously on both behaviors at baseline, and the incremental predictive utility of traits on both behaviors at eight month follow up. Additionally, we examined the influence of NSSI at baseline on symptoms of BN at follow up, and symptoms of BN at baseline on NSSI at follow up. Negative urgency accounted for significant variance in NSSI and eating pathology. Baseline (lack of) perseverance contributed significantly to binge eating frequency at follow-up, when accounting for baseline symptoms. NSSI at baseline was associated with increased purging at follow-up. Individual differences in impulsivity appear to influence both NSSI and eating pathology. Copyright © 2012 Elsevier Ltd. All rights reserved.

Safe delivery care practices in western Nepal: Does women's autonomy influence the utilization of skilled care at birth?

Science.gov (United States)

Bhandari, Tulsi Ram; Kutty, V Raman; Sarma, P Sankara; Dangal, Ganesh

2017-01-01

Despite various efforts to increase the utilization of skilled birth attendants (SBA), nearly two-thirds of deliveries take place at home without the assistance of SBAs in Nepal. We hypothesized that the ability of women to take decisions about their own lives-women's autonomy-plays an important part in birth choices. To know this, we conducted a community-based cross-sectional study for assessing women's autonomy and utilization of safe delivery care service in Kapilvastu district of Nepal from June to October 2014. We used multivariate modeling to associate socioeconomic factors and women's autonomy with the utilization of safe delivery care services. Just over one-third of women sought institutional delivery care during the birth of their last child. Out of the total deliveries at health facilities, nearly 58% women visited health facility for self-reported emergency obstructive care. Only 6.2% home deliveries were handled by health workers and 14.7% women used the safe delivery kit for home delivery care. Higher levels of women's education had a strong positive association (odds ratio = 24.11, CI = 9.43-61.64) with institutional delivery care. Stratified analysis showed that when the husband is educated, women's education seems to work partly through their autonomy in decision making. Educational status of women emerged as one of the key predictors of the utilization of delivery care services in Kapilvastu district. Economic status of household and husband's education are other dominant predictors of the utilization of safe delivery care services. Improving the economic and educational status may be the way out for improving the proportion of institutional deliveries. Women's autonomy may be an important mediating factor in this pathway.

Analysis on influencing factors of clinical teachers’ job satisfaction by structural equation model

Directory of Open Access Journals (Sweden)

Haiyi Jia

2017-02-01

Full Text Available [Research objective] Analyze the influencing factors of clinical teachers’ job satisfaction. [Research method] The ERG theory was used as the framework to design the questionnaires. Data were analyzed by structural equation model for investigating the influencing factors. [Research result] The modified model shows that factors of existence needs and growth needs have direct influence on the job satisfaction of clinical teachers, the influence coefficients are 0.540 and 0.380. The three influencing factors have positive effects on each other, and the correlation coefficients are 0.620, 0.400 and 0.330 respectively. [Research conclusion] Relevant departments should take active measures to improve job satisfaction of clinical teachers from two aspects: existence needs and growth needs, and to improve their work enthusiasm and teaching quality.

A Structural Equation Modeling Analysis of Influences on Juvenile Delinquency

Science.gov (United States)

Barrett, David E.; Katsiyannis, Antonis; Zhang, Dalun; Zhang, Dake

2014-01-01

This study examined influences on delinquency and recidivism using structural equation modeling. The sample comprised 199,204 individuals: 99,602 youth whose cases had been processed by the South Carolina Department of Juvenile Justice and a matched control group of 99,602 youth without juvenile records. Structural equation modeling for the…

Multi-state time-varying reliability evaluation of smart grid with flexible demand resources utilizing Lz transform

Science.gov (United States)

Jia, Heping; Jin, Wende; Ding, Yi; Song, Yonghua; Yu, Dezhao

2017-01-01

With the expanding proportion of renewable energy generation and development of smart grid technologies, flexible demand resources (FDRs) have been utilized as an approach to accommodating renewable energies. However, multiple uncertainties of FDRs may influence reliable and secure operation of smart grid. Multi-state reliability models for a single FDR and aggregating FDRs have been proposed in this paper with regard to responsive abilities for FDRs and random failures for both FDR devices and information system. The proposed reliability evaluation technique is based on Lz transform method which can formulate time-varying reliability indices. A modified IEEE-RTS has been utilized as an illustration of the proposed technique.

Modeling a Packed Bed Reactor Utilizing the Sabatier Process

Science.gov (United States)

Shah, Malay G.; Meier, Anne J.; Hintze, Paul E.

2017-01-01

A numerical model is being developed using Python which characterizes the conversion and temperature profiles of a packed bed reactor (PBR) that utilizes the Sabatier process; the reaction produces methane and water from carbon dioxide and hydrogen. While the specific kinetics of the Sabatier reaction on the RuAl2O3 catalyst pellets are unknown, an empirical reaction rate equation1 is used for the overall reaction. As this reaction is highly exothermic, proper thermal control is of the utmost importance to ensure maximum conversion and to avoid reactor runaway. It is therefore necessary to determine what wall temperature profile will ensure safe and efficient operation of the reactor. This wall temperature will be maintained by active thermal controls on the outer surface of the reactor. Two cylindrical PBRs are currently being tested experimentally and will be used for validation of the Python model. They are similar in design except one of them is larger and incorporates a preheat loop by feeding the reactant gas through a pipe along the center of the catalyst bed. The further complexity of adding a preheat pipe to the model to mimic the larger reactor is yet to be implemented and validated; preliminary validation is done using the smaller PBR with no reactant preheating. When mapping experimental values of the wall temperature from the smaller PBR into the Python model, a good approximation of the total conversion and temperature profile has been achieved. A separate CFD model incorporates more complex three-dimensional effects by including the solid catalyst pellets within the domain. The goal is to improve the Python model to the point where the results of other reactor geometry can be reasonably predicted relatively quickly when compared to the much more computationally expensive CFD approach. Once a reactor size is narrowed down using the Python approach, CFD will be used to generate a more thorough prediction of the reactors performance.

Factors influencing the productivity of irrigated crops in Southern Peru, in relation to prediction by simulation models

NARCIS (Netherlands)

Versteeg, M.N.

1985-01-01

The objective of the study was to determine the growth potential of alfalfa, potato, Rhodes grass and maize in the irrigated desert of S. Peru, as at that production level the highest utilization efficiency of irrigation water is usually obtained. Important growth- influencing factors were

Bacterial carbon utilization in vertical subsurface flow constructed wetlands.

Science.gov (United States)

Tietz, Alexandra; Langergraber, Günter; Watzinger, Andrea; Haberl, Raimund; Kirschner, Alexander K T

2008-03-01

Subsurface vertical flow constructed wetlands with intermittent loading are considered as state of the art and can comply with stringent effluent requirements. It is usually assumed that microbial activity in the filter body of constructed wetlands, responsible for the removal of carbon and nitrogen, relies mainly on bacterially mediated transformations. However, little quantitative information is available on the distribution of bacterial biomass and production in the "black-box" constructed wetland. The spatial distribution of bacterial carbon utilization, based on bacterial (14)C-leucine incorporation measurements, was investigated for the filter body of planted and unplanted indoor pilot-scale constructed wetlands, as well as for a planted outdoor constructed wetland. A simple mass-balance approach was applied to explain the bacterially catalysed organic matter degradation in this system by comparing estimated bacterial carbon utilization rates with simultaneously measured carbon reduction values. The pilot-scale constructed wetlands proved to be a suitable model system for investigating microbial carbon utilization in constructed wetlands. Under an ideal operating mode, the bulk of bacterial productivity occurred within the first 10cm of the filter body. Plants seemed to have no significant influence on productivity and biomass of bacteria, as well as on wastewater total organic carbon removal.

[The study on behaviour of protective equipment utilization of workers exposed to benzene and factors based on Planned Behavior Theory].

Science.gov (United States)

Huang, J Y; Liu, C D; Zhang, W M; Fu, Y K; Ma, H Y

2018-02-20

Objective: To investigate and predict the behavioral intention and mode of the protective equipment utilization selection of the workers who used Benzene, the Theory of Planned Behavior (TPB) was applied to establish the behavioral model to enhance the theoretical foundation for long-term intervention. Methods: Questionnaires were used to survey the 707 workers, and all the behaviors of using protective equipment were investigated. Evaluate the relationships between each variable and obtain the influence affects by structural equation model. Results: The investigation showed that 38.47% of the total workers (272 cases) used whole body protection, 13.58% used partially, and 16.69% didn't use any body protection. There were significant difference between the varying degrees in the four dimensions (behavioral attitude, perceived behavior control, subjective norm, and behavioral intention) (Pbehavior control was the most important influencing factor, subjective norm, positive attitude, negative attitude were the other three respects in sequence. The path co-efficient were 0.600、0.215、0.141 and 0.046 respectively. Conclusion: The study show that the theory of planned behavior can effectively explain the behavioral intention and behavior of protective equipment utilization. Therefore, combining the subjective initiative of individuals with the supervision of enterprises, In order to effectively enhance the protective equipment utilization of benzene workers.

National Utility Rate Database: Preprint

Energy Technology Data Exchange (ETDEWEB)

Ong, S.; McKeel, R.

2012-08-01

When modeling solar energy technologies and other distributed energy systems, using high-quality expansive electricity rates is essential. The National Renewable Energy Laboratory (NREL) developed a utility rate platform for entering, storing, updating, and accessing a large collection of utility rates from around the United States. This utility rate platform lives on the Open Energy Information (OpenEI) website, OpenEI.org, allowing the data to be programmatically accessed from a web browser, using an application programming interface (API). The semantic-based utility rate platform currently has record of 1,885 utility rates and covers over 85% of the electricity consumption in the United States.

A Study of How the Watts-Strogatz Model Relates to an Economic System’s Utility

OpenAIRE

Lunhan Luo; Jianan Fang

2014-01-01

Watts-Strogatz model is a main mechanism to construct the small-world networks. It is widely used in the simulations of small-world featured systems including economic system. Formally, the model contains a parameters set including three variables representing group size, number of neighbors, and rewiring probability. This paper discusses how the parameters set relates to the economic system performance which is utility growth rate. In conclusion, it is found that, regardless of the group siz...

Utility of Social Modeling for Proliferation Assessment - Preliminary Findings

International Nuclear Information System (INIS)

Coles, Garill A.; Gastelum, Zoe N.; Brothers, Alan J.; Thompson, Sandra E.

2009-01-01

Often the methodologies for assessing proliferation risk are focused around the inherent vulnerability of nuclear energy systems and associated safeguards. For example an accepted approach involves ways to measure the intrinsic and extrinsic barriers to potential proliferation. This paper describes preliminary investigation into non-traditional use of social and cultural information to improve proliferation assessment and advance the approach to assessing nuclear material diversion. Proliferation resistance assessment, safeguard assessments and related studies typically create technical information about the vulnerability of a nuclear energy system to diversion of nuclear material. The purpose of this research project is to find ways to integrate social information with technical information by explicitly considering the role of culture, groups and/or individuals to factors that impact the possibility of proliferation. When final, this work is expected to describe and demonstrate the utility of social science modeling in proliferation and proliferation risk assessments.

Effect of social influence on consumer choice behavior using a sequential stated choice experiment: A study of city trip itinerary choice

NARCIS (Netherlands)

Pan, X.; Rasouli, S.; Timmermans, H.J.P.

2018-01-01

This paper introduces a model that captures the effect of social influence on individual choice behavior. The suggested model shares with previous models the idea to add a term to the deterministic utility function of the choice alternative, chosen by a social network member, to measure an

A choice modelling analysis on the similarity between distribution utilities' and industrial customers' price and quality preferences

International Nuclear Information System (INIS)

Soederberg, Magnus

2008-01-01

The Swedish Electricity Act states that electricity distribution must comply with both price and quality requirements. In order to maintain efficient regulation it is necessary to firstly, define quality attributes and secondly, determine a customer's priorities concerning price and quality attributes. If distribution utilities gain an understanding of customer preferences and incentives for reporting them, the regulator can save a lot of time by surveying them rather than their customers. This study applies a choice modelling methodology where utilities and industrial customers are asked to evaluate the same twelve choice situations in which price and four specific quality attributes are varied. The preferences expressed by the utilities, and estimated by a random parameter logit, correspond quite well with the preferences expressed by the largest industrial customers. The preferences expressed by the utilities are reasonably homogenous in relation to forms of association (private limited, public and trading partnership). If the regulator acts according to the preferences expressed by the utilities, smaller industrial customers will have to pay for quality they have not asked for. (author)

Modeling the influence of polls on elections: a population dynamics approach

Energy Technology Data Exchange (ETDEWEB)

Hyman, James M [Los Alamos National Laboratory; Restrepo, Juan M [UNIV OF ARIZONA; Rael, Rosalyn C [UNIV OF ARIZONA

2009-01-01

We propose a population dynamics model for quantifying the effects of polling data on the outcome of multi-party elections decided by a majority-rule voting process. We divide the population into two groups: committed voters impervious to polling data, and susceptible voters whose decision to vote is influenced by data, depending on its reliability. This population-based approach to modeling the process sidesteps the problem of upscaling models based upon the choices made by individuals. We find releasing poll data is not advantageous to leading candidates, but it can be exploited by those closely trailing. The analysis identifies the particular type of voting impetus at play in different stages of an election and could help strategists optimize their influence on susceptible voters.

Surplus thermal energy model of greenhouses and coefficient analysis for effective utilization

Directory of Open Access Journals (Sweden)

Seung-Hwan Yang

2016-03-01

Full Text Available If a greenhouse in the temperate and subtropical regions is maintained in a closed condition, the indoor temperature commonly exceeds that required for optimal plant growth, even in the cold season. This study considered this excess energy as surplus thermal energy (STE, which can be recovered, stored and used when heating is necessary. To use the STE economically and effectively, the amount of STE must be estimated before designing a utilization system. Therefore, this study proposed an STE model using energy balance equations for the three steps of the STE generation process. The coefficients in the model were determined by the results of previous research and experiments using the test greenhouse. The proposed STE model produced monthly errors of 17.9%, 10.4% and 7.4% for December, January and February, respectively. Furthermore, the effects of the coefficients on the model accuracy were revealed by the estimation error assessment and linear regression analysis through fixing dynamic coefficients. A sensitivity analysis of the model coefficients indicated that the coefficients have to be determined carefully. This study also provides effective ways to increase the amount of STE.

Surplus thermal energy model of greenhouses and coefficient analysis for effective utilization

Energy Technology Data Exchange (ETDEWEB)

Yang, S.H.; Son, J.E.; Lee, S.D.; Cho, S.I.; Ashtiani-Araghi, A.; Rhee, J.Y.

2016-11-01

If a greenhouse in the temperate and subtropical regions is maintained in a closed condition, the indoor temperature commonly exceeds that required for optimal plant growth, even in the cold season. This study considered this excess energy as surplus thermal energy (STE), which can be recovered, stored and used when heating is necessary. To use the STE economically and effectively, the amount of STE must be estimated before designing a utilization system. Therefore, this study proposed an STE model using energy balance equations for the three steps of the STE generation process. The coefficients in the model were determined by the results of previous research and experiments using the test greenhouse. The proposed STE model produced monthly errors of 17.9%, 10.4% and 7.4% for December, January and February, respectively. Furthermore, the effects of the coefficients on the model accuracy were revealed by the estimation error assessment and linear regression analysis through fixing dynamic coefficients. A sensitivity analysis of the model coefficients indicated that the coefficients have to be determined carefully. This study also provides effective ways to increase the amount of STE. (Author)

Analysis and Characterization of Damage and Failure Utilizing a Generalized Composite Material Model Suitable for Use in Impact Problems

Science.gov (United States)

Goldberg, Robert K.; Carney, Kelly S.; DuBois, Paul; Khaled, Bilal; Hoffarth, Canio; Rajan, Subramaniam; Blankenhorn, Gunther

2016-01-01

A material model which incorporates several key capabilities which have been identified by the aerospace community as lacking in state-of-the art composite impact models is under development. In particular, a next generation composite impact material model, jointly developed by the FAA and NASA, is being implemented into the commercial transient dynamic finite element code LS-DYNA. The material model, which incorporates plasticity, damage, and failure, utilizes experimentally based tabulated input to define the evolution of plasticity and damage and the initiation of failure as opposed to specifying discrete input parameters (such as modulus and strength). The plasticity portion of the orthotropic, three-dimensional, macroscopic composite constitutive model is based on an extension of the Tsai-Wu composite failure model into a generalized yield function with a non-associative flow rule. For the damage model, a strain equivalent formulation is utilized to allow for the uncoupling of the deformation and damage analyses. In the damage model, a semi-coupled approach is employed where the overall damage in a particular coordinate direction is assumed to be a multiplicative combination of the damage in that direction resulting from the applied loads in the various coordinate directions. Due to the fact that the plasticity and damage models are uncoupled, test procedures and methods to both characterize the damage model and to covert the material stress-strain curves from the true (damaged) stress space to the effective (undamaged) stress space have been developed. A methodology has been developed to input the experimentally determined composite failure surface in a tabulated manner. An analytical approach is then utilized to track how close the current stress state is to the failure surface.

Factors influencing women's utilization of public health care services ...

African Journals Online (AJOL)

the determinants influencing women's use of public health facilities at the time they give birth. Results: Of .... due to distance between their places of abode and health care facilities ..... care: what works for safe motherhood: Bull World Health.

A random utility model of delay discounting and its application to people with externalizing psychopathology.

Science.gov (United States)

Dai, Junyi; Gunn, Rachel L; Gerst, Kyle R; Busemeyer, Jerome R; Finn, Peter R

2016-10-01

Previous studies have demonstrated that working memory capacity plays a central role in delay discounting in people with externalizing psychopathology. These studies used a hyperbolic discounting model, and its single parameter-a measure of delay discounting-was estimated using the standard method of searching for indifference points between intertemporal options. However, there are several problems with this approach. First, the deterministic perspective on delay discounting underlying the indifference point method might be inappropriate. Second, the estimation procedure using the R2 measure often leads to poor model fit. Third, when parameters are estimated using indifference points only, much of the information collected in a delay discounting decision task is wasted. To overcome these problems, this article proposes a random utility model of delay discounting. The proposed model has 2 parameters, 1 for delay discounting and 1 for choice variability. It was fit to choice data obtained from a recently published data set using both maximum-likelihood and Bayesian parameter estimation. As in previous studies, the delay discounting parameter was significantly associated with both externalizing problems and working memory capacity. Furthermore, choice variability was also found to be significantly associated with both variables. This finding suggests that randomness in decisions may be a mechanism by which externalizing problems and low working memory capacity are associated with poor decision making. The random utility model thus has the advantage of disclosing the role of choice variability, which had been masked by the traditional deterministic model. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Three dimensional fuzzy influence analysis of fitting algorithms on integrated chip topographic modeling

International Nuclear Information System (INIS)

Liang, Zhong Wei; Wang, Yi Jun; Ye, Bang Yan; Brauwer, Richard Kars

2012-01-01

In inspecting the detailed performance results of surface precision modeling in different external parameter conditions, the integrated chip surfaces should be evaluated and assessed during topographic spatial modeling processes. The application of surface fitting algorithms exerts a considerable influence on topographic mathematical features. The influence mechanisms caused by different surface fitting algorithms on the integrated chip surface facilitate the quantitative analysis of different external parameter conditions. By extracting the coordinate information from the selected physical control points and using a set of precise spatial coordinate measuring apparatus, several typical surface fitting algorithms are used for constructing micro topographic models with the obtained point cloud. In computing for the newly proposed mathematical features on surface models, we construct the fuzzy evaluating data sequence and present a new three dimensional fuzzy quantitative evaluating method. Through this method, the value variation tendencies of topographic features can be clearly quantified. The fuzzy influence discipline among different surface fitting algorithms, topography spatial features, and the external science parameter conditions can be analyzed quantitatively and in detail. In addition, quantitative analysis can provide final conclusions on the inherent influence mechanism and internal mathematical relation in the performance results of different surface fitting algorithms, topographic spatial features, and their scientific parameter conditions in the case of surface micro modeling. The performance inspection of surface precision modeling will be facilitated and optimized as a new research idea for micro-surface reconstruction that will be monitored in a modeling process

Three dimensional fuzzy influence analysis of fitting algorithms on integrated chip topographic modeling

Energy Technology Data Exchange (ETDEWEB)

Liang, Zhong Wei; Wang, Yi Jun [Guangzhou Univ., Guangzhou (China); Ye, Bang Yan [South China Univ. of Technology, Guangzhou (China); Brauwer, Richard Kars [Indian Institute of Technology, Kanpur (India)

2012-10-15

In inspecting the detailed performance results of surface precision modeling in different external parameter conditions, the integrated chip surfaces should be evaluated and assessed during topographic spatial modeling processes. The application of surface fitting algorithms exerts a considerable influence on topographic mathematical features. The influence mechanisms caused by different surface fitting algorithms on the integrated chip surface facilitate the quantitative analysis of different external parameter conditions. By extracting the coordinate information from the selected physical control points and using a set of precise spatial coordinate measuring apparatus, several typical surface fitting algorithms are used for constructing micro topographic models with the obtained point cloud. In computing for the newly proposed mathematical features on surface models, we construct the fuzzy evaluating data sequence and present a new three dimensional fuzzy quantitative evaluating method. Through this method, the value variation tendencies of topographic features can be clearly quantified. The fuzzy influence discipline among different surface fitting algorithms, topography spatial features, and the external science parameter conditions can be analyzed quantitatively and in detail. In addition, quantitative analysis can provide final conclusions on the inherent influence mechanism and internal mathematical relation in the performance results of different surface fitting algorithms, topographic spatial features, and their scientific parameter conditions in the case of surface micro modeling. The performance inspection of surface precision modeling will be facilitated and optimized as a new research idea for micro-surface reconstruction that will be monitored in a modeling process.

Preferences UnderUncertainty and the Deficiencies of the Expected Utility Model

OpenAIRE

Murat Tasdemir

2007-01-01

In economics, the prevailing framework to explain preferences under uncerta- inty is the Expected Utility theory. Despite its widespread use, the Expected Utility theory is not free from problems. Experimental and empirical works shows that, in real life, the choices of individuals among risky alternatives conflict with the axioms of the Expected Utility theory. This study, in the light of experimental studies, investigates the problems with the Expected Utility theory regarding the individua...

Local cerebral glucose utilization in the beagle puppy model of intraventricular hemorrhage

International Nuclear Information System (INIS)

Ment, L.R.; Stewart, W.B.; Duncan, C.C.

1982-01-01

Local cerebral glucose utilization has been measured by means of carbon-14( 14 C)-autoradiography with 2-deoxyglucose in the newborn beagle puppy model of intraventricular hemorrhage. Our studies demonstrate gray matter/white matter differentiation of uptake of 14 C-2-deoxyglucose in the control pups, as would be expected from adult animal studies. However, there is a marked homogeneity of 14 C-2-deoxyglucose uptake in all brain regions in the puppies with intraventricular hemorrhage, possibly indicating a loss of the known coupling between cerebral blood flow and metabolism in this neuropathological condition

Influence of hormonal status on substrate utilization at rest and during exercise in the female population.

Science.gov (United States)

Isacco, Laurie; Duché, Pascale; Boisseau, Nathalie

2012-04-01

During exercise, substrate utilization plays a major role in performance and disease prevention. The contribution of fat and carbohydrates to energy expenditure during exercise is modulated by several factors, including intensity and duration of exercise, age, training and diet, but also gender. Because sex hormone levels change throughout a woman's lifetime (in connection with puberty, the menstrual cycle, use of oral contraceptives and menopause), the female population has to be considered specifically in terms of substrate utilization, and metabolic and hormonal responses to exercise. Before puberty, there is no difference between males and females when it comes to substrate oxidation during exercise. This is not the case during adulthood, since women are known to rely more on fat than men for the same relative intensity of exercise. Among adult women, the menstrual cycle and use of oral contraceptives may influence substrate oxidation. While some authors have noted that the luteal phase of the menstrual cycle is connected with greater lipid oxidation, compared with the follicular stage, other authors have found no difference. Among oral contraceptive users, fat oxidation is sometimes increased during prolonged exercise with a concomitant rise in lipolytic hormones, as well as growth hormone. If this result is not always observed, the type of oral contraceptive (monophasic vs triphasic) and hormone doses may be implicated. Menopause represents a hormonal transition in a woman's life, leading to a decline in ovarian hormone production. A decrease in fat oxidation is consequently observed, and some studies have demonstrated a similar respiratory exchange ratio during prolonged exercise in postmenopausal women and in men. As is the case during puberty, no sex difference should thus appear after menopause in the absence of hormonal replacement therapy (HRT). Results concerning women who take HRT remain conflicting. HRT may act on fat loss by increasing lipid

Reliability model for helicopter main gearbox lubrication system using influence diagrams

International Nuclear Information System (INIS)

Rashid, H.S.J.; Place, C.S.; Mba, D.; Keong, R.L.C.; Healey, A.; Kleine-Beek, W.; Romano, M.

2015-01-01

The loss of oil from a helicopter main gearbox (MGB) leads to increased friction between components, a rise in component surface temperatures, and subsequent mechanical failure of gearbox components. A number of significant helicopter accidents have been caused due to such loss of lubrication. This paper presents a model to assess the reliability of helicopter MGB lubricating systems. Safety risk modeling was conducted for MGB oil system related accidents in order to analyse key failure mechanisms and the contributory factors. Thus, the dominant failure modes for lubrication systems and key contributing components were identified. The Influence Diagram (ID) approach was then employed to investigate reliability issues of the MGB lubrication systems at the level of primary causal factors, thus systematically investigating a complex context of events, conditions, and influences that are direct triggers of the helicopter MGB lubrication system failures. The interrelationships between MGB lubrication system failure types were thus identified, and the influence of each of these factors on the overall MGB lubrication system reliability was assessed. This paper highlights parts of the HELMGOP project, sponsored by the European Aviation Safety Agency to improve helicopter main gearbox reliability. - Highlights: • We investigated methods to optimize helicopter MGB oil system run-dry capability. • Used Influence Diagram to assess design and maintenance factors of MGB oil system. • Factors influencing overall MGB lubrication system reliability were identified. • This globally influences current and future helicopter MGB designs

The Model of Integrated Marketing Communication: Who has the Role to Influence Consumer Behaviour

OpenAIRE

Olimpia Elena Mihaela Oancea

2015-01-01

The purpose of this paper is proposes a theoretical framework to investigate the models of integrated marketing communication that can influence the consumer behaviour, and the development a model of integrated marketing communication. The research goals aim the following aspects: (a) The analyze of the IMC concept; (b) Identifying and analyzing the main models of integrated marketing communication that can influence the consumer behaviour; (c) Identifying the variables that wi...

Systematic Review of Smoking Initiation among Asian Adolescents, 20052015: Utilizing the Frameworks of Triadic Influence and Planned Behavior.

Science.gov (United States)

Talip, Tajidah; Murang, Zaidah; Kifli, Nurolaini; Naing, Lin

2016-01-01

A recent WHO data report on mortality attributable to tobacco use including cigarette smoking indicated a very high burden of deaths in Asia and that people often initiate smoking as early as young adolescents. The objectives of this study were to systematically review peerreviewed articles on cigarette smoking initiation among Asian adolescents and to develop a conceptual model of factors influencing smoking initiation by integrating all relevant factors based on existing data. Following a PRISMA guideline, a systematic review of articles published between 2005 and June 2015 was conducted using 5 databases on cigarette smoking initiation among adolescents (aged 1019 years) living in Asia. We summarized the main findings of each study according to our research questions and data that emerged during the data extraction process. Analysis and categorization were based on the TTI and TPB models and classification of factors extracted from the study, were as follows: personal factors, social factors, broader environmental factors, mediators, and intention to initiate smoking and smoking behavior. Of 1,227 identified studies, only 20 were included in this review. Our findings found that the mean age of cigarette smoking initiation ranged from 10 to 14 years and those who are more likely to initiate smoking are male, older adolescents, adolescents with low parental SES, individuals with low parental monitoring, low parental education level and having no discussion on smoking at home, those living in public housing and those exhibiting healthrisk behavior. Our study also revealed that the risk of smoking initiation increased when they are exposed to smokers, influenced by peers, exposed to tobacco advertisements, receive pocket money, have lack of knowledge about smoking, have poor school performance, have a family conflict and have psychological problems. The conceptual model developed demonstrated complex networks of factors influencing initiation. This systematic review

A hybrid framework for quantifying the influence of data in hydrological model calibration

Science.gov (United States)

Wright, David P.; Thyer, Mark; Westra, Seth; McInerney, David

2018-06-01

Influence diagnostics aim to identify a small number of influential data points that have a disproportionate impact on the model parameters and/or predictions. The key issues with current influence diagnostic techniques are that the regression-theory approaches do not provide hydrologically relevant influence metrics, while the case-deletion approaches are computationally expensive to calculate. The main objective of this study is to introduce a new two-stage hybrid framework that overcomes these challenges, by delivering hydrologically relevant influence metrics in a computationally efficient manner. Stage one uses computationally efficient regression-theory influence diagnostics to identify the most influential points based on Cook's distance. Stage two then uses case-deletion influence diagnostics to quantify the influence of points using hydrologically relevant metrics. To illustrate the application of the hybrid framework, we conducted three experiments on 11 hydro-climatologically diverse Australian catchments using the GR4J hydrological model. The first experiment investigated how many data points from stage one need to be retained in order to reliably identify those points that have the hightest influence on hydrologically relevant metrics. We found that a choice of 30-50 is suitable for hydrological applications similar to those explored in this study (30 points identified the most influential data 98% of the time and reduced the required recalibrations by 99% for a 10 year calibration period). The second experiment found little evidence of a change in the magnitude of influence with increasing calibration period length from 1, 2, 5 to 10 years. Even for 10 years the impact of influential points can still be high (>30% influence on maximum predicted flows). The third experiment compared the standard least squares (SLS) objective function with the weighted least squares (WLS) objective function on a 10 year calibration period. In two out of three flow

Influence of Various Irradiance Models and Their Combination on Simulation Results of Photovoltaic Systems

Directory of Open Access Journals (Sweden)

Martin Hofmann

2017-09-01

Full Text Available We analyze the output of various state-of-the-art irradiance models for photovoltaic systems. The models include two sun position algorithms, three types of input data time series, nine diffuse fraction models and five transposition models (for tilted surfaces, resulting in 270 different model chains for the photovoltaic (PV system simulation. These model chains are applied to 30 locations worldwide and three different module tracking types, totaling in 24,300 simulations. We show that the simulated PV yearly energy output varies between −5% and +8% for fixed mounted PV modules and between −26% and +14% for modules with two-axis tracking. Model quality varies strongly between locations; sun position algorithms have negligible influence on the simulation results; diffuse fraction models add a lot of variability; and transposition models feature the strongest influence on the simulation results. To highlight the importance of irradiance with high temporal resolution, we present an analysis of the influence of input temporal resolution and simulation models on the inverter clipping losses at varying PV system sizing factors for Lindenberg, Germany. Irradiance in one-minute resolution is essential for accurately calculating inverter clipping losses.

Mathematical models utilized in the retrieval of displacement information encoded in fringe patterns

Science.gov (United States)

Sciammarella, Cesar A.; Lamberti, Luciano

2016-02-01

All the techniques that measure displacements, whether in the range of visible optics or any other form of field methods, require the presence of a carrier signal. A carrier signal is a wave form modulated (modified) by an input, deformation of the medium. A carrier is tagged to the medium under analysis and deforms with the medium. The wave form must be known both in the unmodulated and the modulated conditions. There are two basic mathematical models that can be utilized to decode the information contained in the carrier, phase modulation or frequency modulation, both are closely connected. Basic problems connected to the detection and recovery of displacement information that are common to all optical techniques will be analyzed in this paper, focusing on the general theory common to all the methods independently of the type of signal utilized. The aspects discussed are those that have practical impact in the process of data gathering and data processing.

Personality, Parasites, Political Attitudes, and Cooperation: A Model of How Infection Prevalence Influences Openness and Social Group Formation.

Science.gov (United States)

Brown, Gordon D A; Fincher, Corey L; Walasek, Lukasz

2016-01-01

What is the origin of individual differences in ideology and personality? According to the parasite stress hypothesis, the structure of a society and the values of individuals within it are both influenced by the prevalence of infectious disease within the society's geographical region. High levels of infection threat are associated with more ethnocentric and collectivist social structures and greater adherence to social norms, as well as with socially conservative political ideology and less open but more conscientious personalities. Here we use an agent-based model to explore a specific opportunities-parasites trade-off (OPTO) hypothesis, according to which utility-maximizing agents place themselves at an optimal point on a trade-off between (a) the gains that may be achieved through accessing the resources of geographically or socially distant out-group members through openness to out-group interaction, and (b) the losses arising due to consequently increased risks of exotic infection to which immunity has not been developed. We examine the evolution of cooperation and the formation of social groups within social networks, and we show that the groups that spontaneously form exhibit greater local rather than global cooperative networks when levels of infection are high. It is suggested that the OPTO model offers a first step toward understanding the specific mechanisms through which environmental conditions may influence cognition, ideology, personality, and social organization. Copyright © 2015 The Authors. Topics in Cognitive Science published by Wiley Periodicals, Inc. on behalf of Cognitive Science Society.

Influence of privatization model to society in transition

Directory of Open Access Journals (Sweden)

Cvijetićanin Danijel M.

2004-01-01

Full Text Available The goal of the paper is to explain the influence of privatization to the transition in Serbia. At the same time, it will be shown that the absence of the results of development of small and medium enterprises influenced the continuous pointing out the results of privatization. The influence of privatization to performance of enterprises will be especially discussed. The process of privatization of the public sector in the countries of developed market economy will be compared with the privatization in the former socialist countries. The specificity of the latter consists, above all, in huge offer of capital for sale in relatively short time. Inevitable consequence is the low price of this capital, which is very interesting for analysis. Specificities of privatization with not only state, but also social property in the economies of the former SFRY will be also discussed. The paradox of enlarging state property in Serbia and Montenegro will be also pointed out. The results of privatization will be discussed, as well as possible modifications of the model (and the law in the near future.

Inferring local ecological processes amid species pool influences

DEFF Research Database (Denmark)

Lessard, Jean-Philippe; Belmaker, Jonathan; Myers, Jonathan A.

2012-01-01

studies, null models of community structure, and ecologically explicit definitions of the species pool as a means to compare predominant ecological processes among regions. By uniting concepts and tools from community ecology and macroecology, this approach might facilitate synthesis and resolve many......Resolving contingencies in community ecology requires comparative studies of local communities along broad-scale environmental gradients and in different biogeographic regions. However, comparisons of local ecological processes among regions require a synthetic understanding of how the species pool...... of potential community members influences the structure of ecological communities. Here, we outline an integrative approach for quantifying local ecological processes while explicitly accounting for species pool influences. Specifically, we highlight the utility of combining geographically replicated local...

Protein (multi-)location prediction: utilizing interdependencies via a generative model

Science.gov (United States)

Shatkay, Hagit

2015-01-01

Motivation: Proteins are responsible for a multitude of vital tasks in all living organisms. Given that a protein’s function and role are strongly related to its subcellular location, protein location prediction is an important research area. While proteins move from one location to another and can localize to multiple locations, most existing location prediction systems assign only a single location per protein. A few recent systems attempt to predict multiple locations for proteins, however, their performance leaves much room for improvement. Moreover, such systems do not capture dependencies among locations and usually consider locations as independent. We hypothesize that a multi-location predictor that captures location inter-dependencies can improve location predictions for proteins. Results: We introduce a probabilistic generative model for protein localization, and develop a system based on it—which we call MDLoc—that utilizes inter-dependencies among locations to predict multiple locations for proteins. The model captures location inter-dependencies using Bayesian networks and represents dependency between features and locations using a mixture model. We use iterative processes for learning model parameters and for estimating protein locations. We evaluate our classifier MDLoc, on a dataset of single- and multi-localized proteins derived from the DBMLoc dataset, which is the most comprehensive protein multi-localization dataset currently available. Our results, obtained by using MDLoc, significantly improve upon results obtained by an initial simpler classifier, as well as on results reported by other top systems. Availability and implementation: MDLoc is available at: http://www.eecis.udel.edu/∼compbio/mdloc. Contact: shatkay@udel.edu. PMID:26072505

Protein (multi-)location prediction: utilizing interdependencies via a generative model.

Science.gov (United States)

Simha, Ramanuja; Briesemeister, Sebastian; Kohlbacher, Oliver; Shatkay, Hagit

2015-06-15

Proteins are responsible for a multitude of vital tasks in all living organisms. Given that a protein's function and role are strongly related to its subcellular location, protein location prediction is an important research area. While proteins move from one location to another and can localize to multiple locations, most existing location prediction systems assign only a single location per protein. A few recent systems attempt to predict multiple locations for proteins, however, their performance leaves much room for improvement. Moreover, such systems do not capture dependencies among locations and usually consider locations as independent. We hypothesize that a multi-location predictor that captures location inter-dependencies can improve location predictions for proteins. We introduce a probabilistic generative model for protein localization, and develop a system based on it-which we call MDLoc-that utilizes inter-dependencies among locations to predict multiple locations for proteins. The model captures location inter-dependencies using Bayesian networks and represents dependency between features and locations using a mixture model. We use iterative processes for learning model parameters and for estimating protein locations. We evaluate our classifier MDLoc, on a dataset of single- and multi-localized proteins derived from the DBMLoc dataset, which is the most comprehensive protein multi-localization dataset currently available. Our results, obtained by using MDLoc, significantly improve upon results obtained by an initial simpler classifier, as well as on results reported by other top systems. MDLoc is available at: http://www.eecis.udel.edu/∼compbio/mdloc. © The Author 2015. Published by Oxford University Press.

Utilization of Community Institutional and Organizational Resources ...

African Journals Online (AJOL)

The study investigated the influence of the utilization of community institutional and community organizational resources on the implementation of adult basic literacy and functional literacy programmes in Cross River State. Two hypotheses were formulated and tested. The survey research design was adopted for the study.

On the modeling of epidemics under the influence of risk perception

Science.gov (United States)

de Lillo, S.; Fioriti, G.; Prioriello, M. L.

An epidemic spreading model is presented in the framework of the kinetic theory of active particles. The model is characterized by the influence of risk perception which can reduce the diffusion of infection. The evolution of the system is modeled through nonlinear interactions, whose output is described by stochastic games. The results of numerical simulations are discussed for different initial conditions.

Awareness and Utilization of Family Planning Methods among ...

African Journals Online (AJOL)

deficiency Virus (HIV) infection influence the design and background Family planning is an important preventive measure against maternal and child morbidity and mortality. This study was aimed at determining the awareness and utilization of family ...

COMPLEAT (Community-Oriented Model for Planning Least-Cost Energy Alternatives and Technologies): A planning tool for publicly owned electric utilities. [Community-Oriented Model for Planning Least-Cost Energy Alternatives and Technologies (Compleat)

Energy Technology Data Exchange (ETDEWEB)

1990-09-01

COMPLEAT takes its name, as an acronym, from Community-Oriented Model for Planning Least-Cost Energy Alternatives and Technologies. It is an electric utility planning model designed for use principally by publicly owned electric utilities and agencies serving such utilities. As a model, COMPLEAT is significantly more full-featured and complex than called out in APPA's original plan and proposal to DOE. The additional complexity grew out of a series of discussions early in the development schedule, in which it became clear to APPA staff and advisors that the simplicity characterizing the original plan, while highly desirable in terms of utility applications, was not achievable if practical utility problems were to be addressed. The project teams settled on Energy 20/20, an existing model developed by Dr. George Backus of Policy Assessment Associates, as the best candidate for the kinds of modifications and extensions that would be required. The remainder of the project effort was devoted to designing specific input data files, output files, and user screens and to writing and testing the compute programs that would properly implement the desired features around Energy 20/20 as a core program. This report presents in outline form, the features and user interface of COMPLEAT.

Utility values associated with advanced or metastatic non-small cell lung cancer: data needs for economic modeling.

Science.gov (United States)

Brown, Jacqueline; Cook, Keziah; Adamski, Kelly; Lau, Jocelyn; Bargo, Danielle; Breen, Sarah; Chawla, Anita

2017-04-01

Cost-effectiveness analyses often inform healthcare reimbursement decisions. The preferred measure of effectiveness is the quality adjusted life year (QALY) gained, where the quality of life adjustment is measured in terms of utility. Areas covered: We assessed the availability and variation of utility values for health states associated with advanced or metastatic non-small cell lung cancer (NSCLC) to identify values appropriate for cost-effectiveness models assessing alternative treatments. Our systematic search of six electronic databases (January 2000 to August 2015) found the current literature to be sparse in terms of utility values associated with NSCLC, identifying 27 studies. Utility values were most frequently reported over time and by treatment type, and less frequently by disease response, stage of disease, adverse events or disease comorbidities. Expert commentary: In response to rising healthcare costs, payers increasingly consider the cost-effectiveness of novel treatments in reimbursement decisions, especially in oncology. As the number of therapies available to treat NSCLC increases, cost-effectiveness analyses will play a key role in reimbursement decisions in this area. Quantifying the relationship between health and quality of life for NSCLC patients via utility values is an important component of assessing the cost effectiveness of novel treatments.

The Factors Influencing Satisfaction with Public City Transport: A Structural Equation Modelling Approach

Directory of Open Access Journals (Sweden)

Pawlasova Pavlina

2015-12-01

Full Text Available Satisfaction is one of the key factors which influences customer loyalty. We assume that the satisfied customer will be willing to use the ssame service provider again. The overall passengers´ satisfaction with public city transport may be affected by the overall service quality. Frequency, punctuality, cleanliness in the vehicle, proximity, speed, fare, accessibility and safety of transport, information and other factors can influence passengers´ satisfaction. The aim of this paper is to quantify factors and identify the most important factors influencing customer satisfaction with public city transport within conditions of the Czech Republic. Two methods of analysis are applied in order to fulfil the aim. The method of factor analysis and the method Varimax were used in order to categorize variables according to their mutual relations. The method of structural equation modelling was used to evaluate the factors and validate the model. Then, the optimal model was found. The logistic parameters, including service continuity and frequency, and service, including information rate, station proximity and vehicle cleanliness, are the factors influencing passengers´ satisfaction on a large scale.

The wheel-rail contact friction influence on high speed vehicle model stability

Directory of Open Access Journals (Sweden)

Mirosław DUSZA

2015-09-01

Full Text Available Right estimating of the coefficient of friction between the wheel and rail is essential in modelling rail vehicle dynamics. Constant value of coefficient of friction is the typical assumption in theoretical studies. But it is obvious that in real circumstances a few factors may have significant influence on the rails surface condition and this way on the coefficient of friction value. For example the weather condition, the railway location etc. Influence of the coefficient of friction changes on high speed rail vehicle model dynamics is presented in this paper. Four axle rail vehicle model were built. The FASTSIM code is employed for calculation of the tangential contact forces between wheel and rail. One coefficient of friction value is adopted in the particular simulation process. To check the vehicle model properties under the influence of wheel-rail coefficient of friction changes, twenty four series of simulations were performed. For three curved tracks of radii R = 3000m, 6000m and  (straight track, the coefficient of friction was changed from 0.1 to 0.8. The results are presented in form of bifurcation diagrams.

Utility and translatability of mathematical modeling, cell culture and small and large animal models in magnetic nanoparticle hyperthermia cancer treatment research

Science.gov (United States)

Hoopes, P. J.; Petryk, Alicia A.; Misra, Adwiteeya; Kastner, Elliot J.; Pearce, John A.; Ryan, Thomas P.

2015-03-01

For more than 50 years, hyperthermia-based cancer researchers have utilized mathematical models, cell culture studies and animal models to better understand, develop and validate potential new treatments. It has been, and remains, unclear how and to what degree these research techniques depend on, complement and, ultimately, translate accurately to a successful clinical treatment. In the past, when mathematical models have not proven accurate in a clinical treatment situation, the initiating quantitative scientists (engineers, mathematicians and physicists) have tended to believe the biomedical parameters provided to them were inaccurately determined or reported. In a similar manner, experienced biomedical scientists often tend to question the value of mathematical models and cell culture results since those data typically lack the level of biologic and medical variability and complexity that are essential to accurately study and predict complex diseases and subsequent treatments. Such quantitative and biomedical interdependence, variability, diversity and promise have never been greater than they are within magnetic nanoparticle hyperthermia cancer treatment. The use of hyperthermia to treat cancer is well studied and has utilized numerous delivery techniques, including microwaves, radio frequency, focused ultrasound, induction heating, infrared radiation, warmed perfusion liquids (combined with chemotherapy), and, recently, metallic nanoparticles (NP) activated by near infrared radiation (NIR) and alternating magnetic field (AMF) based platforms. The goal of this paper is to use proven concepts and current research to address the potential pathobiology, modeling and quantification of the effects of treatment as pertaining to the similarities and differences in energy delivered by known external delivery techniques and iron oxide nanoparticles.

Numerical Model to Quantify the Influence of the Cellulosic Substrate on the Ignition Propensity Tests

Directory of Open Access Journals (Sweden)

Guindos Pablo

2016-07-01

Full Text Available A numerical model based on the finite element method has been constructed to simulate the ignition propensity (IP tests. The objective of this mathematical model was to quantify the influence of different characteristics of the cellulosic substrate on the results of the IP-tests. The creation and validation of the model included the following steps: (I formulation of the model based on experimental thermodynamic characteristics of the cellulosic substrate; (ii calibration of the model according to cone calorimeter tests; (iii validation of the model through mass loss and temperature profiling during IP-testing. Once the model was validated, the influence of each isolated parameter of the cellulosic substrate was quantified via a parametric study. The results revealed that the substrate heat capacity, the cigarette temperature and the pyrolysis activation energy are the most influencing parameters on the thermodynamic response of the substrates, while other parameters like heat of the pyrolysis reaction, density and roughness of the substrate showed little influence. Also the results indicated that the thermodynamic mechanisms involved in the pyrolysis and combustion of the cellulosic substrate are complex and show low repeatability which might impair the reliability of the IP-tests.

Model of sustainable utilization of organic solids waste in Cundinamarca, Colombia

Directory of Open Access Journals (Sweden)

Solanyi Castañeda Torres

2017-05-01

Full Text Available Introduction: This article considers a proposal of a model of use of organic solids waste for the department of Cundinamarca, which responds to the need for a tool to support decision-making for the planning and management of organic solids waste. Objective: To perform an approximation of a conceptual technical and mathematician optimization model to support decision-making in order to minimize environmental impacts. Materials and methods: A descriptive study was applied due to the fact that some fundamental characteristics of the studied homogeneous phenomenon are presented and it is also considered to be quasi experimental. The calculation of the model for plants of the department is based on three axes (environmental, economic and social, that are present in the general equation of optimization. Results: A model of harnessing organic solids waste in the techniques of biological treatment of composting aerobic and worm cultivation is obtained, optimizing the system with the emissions savings of greenhouse gases spread into the atmosphere, and in the reduction of the overall cost of final disposal of organic solids waste in sanitary landfill. Based on the economic principle of utility that determines the environmental feasibility and sustainability in the plants of harnessing organic solids waste to the department, organic fertilizers such as compost and humus capture carbon and nitrogen that reduce the tons of CO2.

The Utility of the Prototype/Willingness Model in Predicting Alcohol Use among North American Indigenous Adolescents

Science.gov (United States)

Armenta, Brian E.; Hautala, Dane S.; Whitbeck, Les B.

2015-01-01

In the present study, we considered the utility of the prototype/willingness model in predicting alcohol use among North-American Indigenous adolescents. Specifically, using longitudinal data, we examined the associations among subjective drinking norms, positive drinker prototypes, drinking expectations (as a proxy of drinking willingness), and…

Influencing Busy People in a Social Network.

Science.gov (United States)

Sarkar, Kaushik; Sundaram, Hari

2016-01-01

We identify influential early adopters in a social network, where individuals are resource constrained, to maximize the spread of multiple, costly behaviors. A solution to this problem is especially important for viral marketing. The problem of maximizing influence in a social network is challenging since it is computationally intractable. We make three contributions. First, we propose a new model of collective behavior that incorporates individual intent, knowledge of neighbors actions and resource constraints. Second, we show that the multiple behavior influence maximization is NP-hard. Furthermore, we show that the problem is submodular, implying the existence of a greedy solution that approximates the optimal solution to within a constant. However, since the greedy algorithm is expensive for large networks, we propose efficient heuristics to identify the influential individuals, including heuristics to assign behaviors to the different early adopters. We test our approach on synthetic and real-world topologies with excellent results. We evaluate the effectiveness under three metrics: unique number of participants, total number of active behaviors and network resource utilization. Our heuristics produce 15-51% increase in expected resource utilization over the naïve approach.

Influencing Busy People in a Social Network

Science.gov (United States)

Sarkar, Kaushik; Sundaram, Hari

2016-01-01

We identify influential early adopters in a social network, where individuals are resource constrained, to maximize the spread of multiple, costly behaviors. A solution to this problem is especially important for viral marketing. The problem of maximizing influence in a social network is challenging since it is computationally intractable. We make three contributions. First, we propose a new model of collective behavior that incorporates individual intent, knowledge of neighbors actions and resource constraints. Second, we show that the multiple behavior influence maximization is NP-hard. Furthermore, we show that the problem is submodular, implying the existence of a greedy solution that approximates the optimal solution to within a constant. However, since the greedy algorithm is expensive for large networks, we propose efficient heuristics to identify the influential individuals, including heuristics to assign behaviors to the different early adopters. We test our approach on synthetic and real-world topologies with excellent results. We evaluate the effectiveness under three metrics: unique number of participants, total number of active behaviors and network resource utilization. Our heuristics produce 15-51% increase in expected resource utilization over the naïve approach. PMID:27711127

Extending the Utility of the Parabolic Approximation in Medical Ultrasound Using Wide-Angle Diffraction Modeling.

Science.gov (United States)

Soneson, Joshua E

2017-04-01

Wide-angle parabolic models are commonly used in geophysics and underwater acoustics but have seen little application in medical ultrasound. Here, a wide-angle model for continuous-wave high-intensity ultrasound beams is derived, which approximates the diffraction process more accurately than the commonly used Khokhlov-Zabolotskaya-Kuznetsov (KZK) equation without increasing implementation complexity or computing time. A method for preventing the high spatial frequencies often present in source boundary conditions from corrupting the solution is presented. Simulations of shallowly focused axisymmetric beams using both the wide-angle and standard parabolic models are compared to assess the accuracy with which they model diffraction effects. The wide-angle model proposed here offers improved focusing accuracy and less error throughout the computational domain than the standard parabolic model, offering a facile method for extending the utility of existing KZK codes.

Knowledge, attitudes, practices, and barriers related to research utilization: a survey among pharmacists in Malaysia.

Science.gov (United States)

Tan, Sin Yee; Hatah, Ernieda

2017-04-01

Background Research utilization is part of evidence-based practice referring to the process of reviewing and critiquing scientific research and applying the findings to one's own clinical practice. Many studies on research utilization have been conducted with doctors and nurses, but to our knowledge, none have been investigated amongst pharmacists. Objective To assess research utilization and its barriers among pharmacists and identify potential influencing factors. Setting Malaysia. Methods This cross-sectional survey was administered online and by mail to a convenient sample of pharmacists working in hospitals, health clinics, and retail pharmacies in rural and urban areas. Main outcome measure Pharmacists' research utilization knowledge, attitudes, and practices. Results Six hundred surveys were mailed to potential respondents, and 466 were returned (77.7% response rate). Twenty-eight respondents completed the survey online. The respondents' research utilization knowledge, attitudes, and practices were found to be moderate. Research utilization was associated with respondents' knowledge and attitude scores (P < 0.001). When factors related to research utilization were modelled, higher educational level was associated with higher level of research utilization (P < 0.001) while less involvement in journal clubs, more years of service (3-7 years and more than 7 years) were associated with low and moderate research utilization, respectively. The main reported barrier to research utilization was lack of sufficient authority to change patient care procedures. Conclusion Pharmacists' research utilization knowledge, attitudes, and practices can be improved by encouraging pharmacists to pursue higher degrees, promoting active participation in institutions' journal clubs, and introducing senior clinical pharmacist specialization.

Generalized model for the radiolysis of groundwaters: bicarbonate chemistry and influences

International Nuclear Information System (INIS)

Nicolosi, S.L.

1987-01-01

A groundwater radiolysis model has been developed at Battelle-Columbus which is applicable to groundwaters containing bicarbonate species. The model consists of a chemical mechanism which describes interactions between groundwater species and radiolytic species. Due to the chemical kinetics nature of the model, elementary reactions can be added to extend its range of applicability to other groundwaters. This paper describes the chemical kinetics and influences of bicarbonate species in the model. 23 references, 2 tables

Counseling women with early pregnancy failure: utilizing evidence, preserving preference.

Science.gov (United States)

Wallace, Robin R; Goodman, Suzan; Freedman, Lori R; Dalton, Vanessa K; Harris, Lisa H

2010-12-01

To apply principles of shared decision-making to EPF management counseling. To present a patient treatment priority checklist developed from review of available literature on patient priorities for EPF management. Review of evidence for patient preferences; personal, emotional, physical and clinical factors that may influence patient priorities for EPF management; and the clinical factors, resources, and provider bias that may influence current practice. Women have strong and diverse preferences for EPF management and report higher satisfaction when treated according to these preferences. However, estimates of actual treatment patterns suggest that current practice does not reflect the evidence for safety and acceptability of all options, or patient preferences. Multiple practice barriers and biases exist that may be influencing provider counseling about options for EPF management. Choosing management for EPF is a preference-sensitive decision. A patient-centered approach to EPF management should incorporate counseling about all treatment options. Providers can integrate a counseling model into EPF management practice that utilizes principles of shared decision-making and an organized method for eliciting patient preferences, priorities, and concerns about treatment options. Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

Analytic model comparing the cost utility of TVT versus duloxetine in women with urinary stress incontinence.

Science.gov (United States)

Jacklin, Paul; Duckett, Jonathan; Renganathan, Arasee

2010-08-01

The purpose of this study was to assess cost utility of duloxetine versus tension-free vaginal tape (TVT) as a second-line treatment for urinary stress incontinence. A Markov model was used to compare the cost utility based on a 2-year follow-up period. Quality-adjusted life year (QALY) estimation was performed by assuming a disutility rate of 0.05. Under base-case assumptions, although duloxetine was a cheaper option, TVT gave a considerably higher QALY gain. When a longer follow-up period was considered, TVT had an incremental cost-effectiveness ratio (ICER) of pound 7,710 ($12,651) at 10 years. If the QALY gain from cure was 0.09, then the ICER for duloxetine and TVT would both fall within the indicative National Institute for Health and Clinical Excellence willingness to pay threshold at 2 years, but TVT would be the cost-effective option having extended dominance over duloxetine. This model suggests that TVT is a cost-effective treatment for stress incontinence.

Microwave propagation and remote sensing atmospheric influences with models and applications

CERN Document Server

Karmakar, Pranab Kumar

2011-01-01

Because prevailing atmospheric/troposcopic conditions greatly influence radio wave propagation above 10 GHz, the unguided propagation of microwaves in the neutral atmosphere can directly impact many vital applications in science and engineering. These include transmission of intelligence, and radar and radiometric applications used to probe the atmosphere, among others. Where most books address either one or the other, Microwave Propagation and Remote Sensing: Atmospheric Influences with Models and Applications melds coverage of these two subjects to help readers develop solutions to the problems they present. This reference offers a brief, elementary account of microwave propagation through the atmosphere and discusses radiometric applications in the microwave band used to characterize and model atmospheric constituents, which is also known as remote sensing. Summarizing the latest research results in the field, as well as radiometric models and measurement methods, this book covers topics including: Free sp...

Utilization of post-abortion care services in three regional states of ...

African Journals Online (AJOL)

Background: In Ethiopia, utilization of post-abortion care service is minimal and it seems that the expanding services are underutilized. The purpose of this study was to assess factors which influence decisions for utilization of abortion related services at community level. Methodology: The study was carried out in six ...

Dispersion modeling of accidental releases of toxic gases - utility for the fire brigades.

Science.gov (United States)

Stenzel, S.; Baumann-Stanzer, K.

2009-09-01

Several air dispersion models are available for prediction and simulation of the hazard areas associated with accidental releases of toxic gases. The most model packages (commercial or free of charge) include a chemical database, an intuitive graphical user interface (GUI) and automated graphical output for effective presentation of results. The models are designed especially for analyzing different accidental toxic release scenarios ("worst-case scenarios”), preparing emergency response plans and optimal countermeasures as well as for real-time risk assessment and management. The research project RETOMOD (reference scenarios calculations for toxic gas releases - model systems and their utility for the fire brigade) was conducted by the Central Institute for Meteorology and Geodynamics (ZAMG) in cooperation with the Viennese fire brigade, OMV Refining & Marketing GmbH and Synex Ries & Greßlehner GmbH. RETOMOD was funded by the KIRAS safety research program of the Austrian Ministry of Transport, Innovation and Technology (www.kiras.at). The main tasks of this project were 1. Sensitivity study and optimization of the meteorological input for modeling of the hazard areas (human exposure) during the accidental toxic releases. 2. Comparison of several model packages (based on reference scenarios) in order to estimate the utility for the fire brigades. For the purpose of our study the following models were tested and compared: ALOHA (Areal Location of Hazardous atmosphere, EPA), MEMPLEX (Keudel av-Technik GmbH), Trace (Safer System), Breeze (Trinity Consulting), SAM (Engineering office Lohmeyer). A set of reference scenarios for Chlorine, Ammoniac, Butane and Petrol were proceed, with the models above, in order to predict and estimate the human exposure during the event. Furthermore, the application of the observation-based analysis and forecasting system INCA, developed in the Central Institute for Meteorology and Geodynamics (ZAMG) in case of toxic release was

Does social climate influence positive eWOM? A study of heavy-users of online communities.

Directory of Open Access Journals (Sweden)

Carla Ruiz-Mafe

2018-01-01

Full Text Available This paper provides a deeper understanding of the role of social influences on positive eWOM behaviour (PeWOM of heavy-users of online communities. Drawing on Social Interaction Utility Framework, Group Marketing and Social Learning Theories, we develop and test a research model integrating the interactions between the social climate of a website and Interpersonal Influences in PeWOM. 262 Spanish heavy-users of online communities were selected and the data analysed using partial least squares equation modelling. Overall, the model explains 59% of the variance of PeWOM on online communities. Findings reveal that interaction with other members of the online community (Social Presence is the main predictor of PeWOM. Social Identity is a mediator between Social Presence and PeWOM. Interpersonal Influence has an important role as a moderator variable; the greater the impact of Interpersonal Influence, the stronger the relationship between Social Presence and PeWOM.

Robust Model-based Control of Open-loop Unstable Processes

International Nuclear Information System (INIS)

Emad, Ali

1999-01-01

This paper addresses the development of new formulations for estimating modeling errors or unmeasured disturbances to be used in Model Predictive Control (MPC) algorithms during open-loop prediction. Two different formulations were developed in this paper. One is used in MPC that directly utilizes linear models and the other in MPC that utilizes non-linear models. These estimation techniques were utilized to provide robust performance for MPC algorithms when the plant is open-loop unstable and under the influence of modeling error and/or unmeasured disturbances. For MPC that utilizes a non-linear model, the estimation technique is formulated as a fixed small size on-line optimization problem, while for linear MPC, the unmeasured disturbances are estimated via a proposed linear disturbance model. The disturbance model coefficients are identified on-line from historical estimates of plant-model mismatch. The effectiveness of incorporating these proposed estimation techniques into MPC is tested through simulated implementation on non-linear unstable exothermic fluidized bed reactor. Closed-loop simulations proved the capability of the proposed estimation methods to stabilize and, thereby, improve the MPC performance in such cases. (Author)

System dynamics modeling of social/political factors in nuclear power plant operations

International Nuclear Information System (INIS)

Hansen, K.F.; Turek, M.G.; Eubanks, C.K.

1995-01-01

The safety and performance of nuclear power plants are a function of many technical factors such as initial design, service and maintenance programs, and utility investment in improvements. Safety and performance are also a function of the social/political influences that affect requirements on personnel, practices and procedures, and resource availability. This paper describes a process for constructing models of the social/political influences on plant operations using the system dynamics technique. The model incorporates representation of internal utility actions and decisions as affected by external factors such as public opinion, intervenor actions, safety and economic regulation, and the financial community. The feedback between external agents and plant performance is explicitly modeled. The resulting model can be used to simulate performance under a variety of different external and internal policy choices. In particular, the model can be used to study means of improving performance in response to externally imposed regulations

Utility maximization and mode of payment

NARCIS (Netherlands)

Koning, R.H.; Ridder, G.; Heijmans, R.D.H.; Pollock, D.S.G.; Satorra, A.

2000-01-01

The implications of stochastic utility maximization in a model of choice of payment are examined. Three types of compatibility with utility maximization are distinguished: global compatibility, local compatibility on an interval, and local compatibility on a finite set of points. Keywords:

Development of Nonlinear Flight Mechanical Model of High Aspect Ratio Light Utility Aircraft

Science.gov (United States)

Bahri, S.; Sasongko, R. A.

2018-04-01

The implementation of Flight Control Law (FCL) for Aircraft Electronic Flight Control System (EFCS) aims to reduce pilot workload, while can also enhance the control performance during missions that require long endurance flight and high accuracy maneuver. In the development of FCL, a quantitative representation of the aircraft dynamics is needed for describing the aircraft dynamics characteristic and for becoming the basis of the FCL design. Hence, a 6 Degree of Freedom nonlinear model of a light utility aircraft dynamics, also called the nonlinear Flight Mechanical Model (FMM), is constructed. This paper shows the construction of FMM from mathematical formulation, the architecture design of FMM, the trimming process and simulations. The verification of FMM is done by analysis of aircraft behaviour in selected trimmed conditions.

Hydrolysis of phytate to its lower esters can influence the growth performance and nutrient utilization of broilers with regular or super doses of phytase.

Science.gov (United States)

Beeson, L A; Walk, C L; Bedford, M R; Olukosi, O A

2017-07-01

The aim of the study was to observe the effects of dietary available phosphorus (aP) and calcium (Ca), with regular or super doses of phytase, on phytate hydrolysis and subsequent influences on broiler growth performance and nutrient utilization. In a 2 × 3 factorial design, 384 Ross-308 broilers were allocated to one of 6 dietary treatments with 8 replicates in a randomized complete block design for 21 days. Diets were nutritionally adequate (positive control, PC) or marginally deficient in aP and Ca (negative control, NC), with 0, 500 or 1,500 FTU/kg phytase. Bird and feed weights were recorded on d 0 and 21, excreta were collected on d 19 and 20, and gizzard and ileal contents were collected on d 21. Body weight gain (P phytase in the PC and quadratically in the NC. There was an interactive effect on ileal DM, N, and P utilization, increasing quadratically with phytase supplementation in the NC, but there was no phytase influence in the PC (P Phytase linearly increased copper (P Phytase decreased ileal (IPx, inositol x-phosphate) IP6 and IP5 and increased inositol (quadratic, P phytase was added. Phytate hydrolysis improves the growth potential of birds fed NC diets, allowing them to match the growth performance of birds fed PC diets and improve nutrient utilization. These results indicate that dietary Ca and aP concentrations can be reduced when phytase is supplemented. It also may be beneficial to apply the enzyme nutrient matrix to other nutrients in the diet to maintain an optimal balance of nutrients in the digesta. © The Author 2017. Published by Oxford University Press on behalf of Poultry Science Association.

Implications of Model Structure and Detail for Utility Planning. Scenario Case Studies using the Resource Planning Model

Energy Technology Data Exchange (ETDEWEB)

Mai, Trieu [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Barrows, Clayton [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Lopez, Anthony [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Hale, Elaine [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Dyson, Mark [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Eurek, Kelly [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

2015-04-23

We examine how model investment decisions change under different model configurations and assumptions related to renewable capacity credit, the inclusion or exclusion of operating reserves, dispatch period sampling, transmission power flow modeling, renewable spur line costs, and the ability of a planning region to import and export power. For all modeled scenarios, we find that under market conditions where new renewable deployment is predominantly driven by renewable portfolio standards, model representations of wind and solar capacity credit and interactions between balancing areas are most influential in avoiding model investments in excess thermal capacity. We also compare computation time between configurations to evaluate tradeoffs between computational burden and model accuracy. From this analysis, we find that certain advanced dispatch representations (e.g., DC optimal power flow) can have dramatic adverse effects on computation time but can be largely inconsequential to model investment outcomes, at least at the renewable penetration levels modeled. Finally, we find that certain underappreciated aspects of new capacity investment decisions and model representations thereof, such as spur lines for new renewable capacity, can influence model outcomes particularly in the renewable technology and location chosen by the model. Though this analysis is not comprehensive and results are specific to the model region, input assumptions, and optimization-modeling framework employed, the findings are intended to provide a guide for model improvement opportunities.

Human skeletal muscle glycogen utilization in exhaustive exercise

DEFF Research Database (Denmark)

Nielsen, Joachim; Holmberg, Hans-Christer; Schrøder, Henrik Daa

2011-01-01

Although glycogen is known to be heterogeneously distributed within skeletal muscle cells, there is presently little information available about the role of fibre types, utilization and resynthesis during and after exercise with respect to glycogen localization. Here, we tested the hypothesis...... to be influenced by fibre type prior to exercise, as well as carbohydrate availability during the subsequent period of recovery. These findings provide insight into the significance of fibre type-specific compartmentalization of glycogen metabolism in skeletal muscle during exercise and subsequent recovery. ....... that utilization of glycogen with different subcellular localizations during exhaustive arm and leg exercise differs and examined the influence of fibre type and carbohydrate availability on its subsequent resynthesis. When 10 elite endurance athletes (22 ± 1 years, VO2 max = 68 ± 5 ml kg-1 min-1, mean ± SD...

Determinants of postnatal care non-utilization among women in Nigeria.

Science.gov (United States)

Somefun, Oluwaseyi Dolapo; Ibisomi, Latifat

2016-01-11

Although, there are several programs in place in Nigeria to ensure maternal and child health, maternal and neonatal mortality rates remain high with maternal mortality rates being 576/100,000 and neonatal mortality rates at 37/1000 live births (NDHS, 2013). While there are many studies on the utilization of maternal health services such as antenatal care and skilled delivery at birth, studies on postnatal care are limited. Therefore, the aim of this study is to examine the factors associated with the non-utilization of postnatal care among mothers in Nigeria using the Nigeria Demographic and Health Survey (NDHS) 2013. For analysis, the postnatal care uptake for 19,418 children born in the 5 years preceding the survey was considered. The dependent variable was a composite variable derived from a list of questions on postnatal care. A multinomial logistic regression model was applied to examine the adjusted and unadjusted determinants of non-utilization of postnatal care. Results from this study showed that 63% of the mothers of the 19,418 children did not utilize postnatal care services in the period examined. About 42% of the study population between 25 and 34 years did not utilize postnatal care and 61% of the women who did not utilize postnatal care had no education. Results from multinomial logistic regression show that antenatal care use, distance, education, place of delivery, region and wealth status are significantly associated with the non-utilization of postnatal care services. This study revealed the low uptake of postnatal care service in Nigeria. To increase mothers' utilization of postnatal care services and improve maternal and child health in Nigeria, interventions should be targeted at women in remote areas who don't have access to services and developing mobile clinics. In addition, it is crucial that steps should be taken on educating women. This would have a significant influence on their perceptions about the use of postnatal care services in

Utility, games, and narratives

OpenAIRE

Fioretti, Guido

2009-01-01

This paper provides a general overview of theories and tools to model individual and collective decision-making. In particular, stress is laid on the interaction of several decision-makers. A substantial part of this paper is devoted to utility maximization and its application to collective decision-making, Game Theory. However, the pitfalls of utility maximization are thoroughly discussed, and the radically alternative approach of viewing decision-making as constructing narratives is pre...

Influence of Roughness-Induced Slip on Colloid Transport: Experimental and Modelling Insights

Science.gov (United States)

Rasmuson, J. A.; Johnson, W. P.

2017-12-01

A limitation of classic colloid filtration theory is that it applies only to smooth surfaces, yet most natural surfaces present some degree of nano- to micro-scale roughness. A large volume of research has been dedicated to understanding the effects of roughness on particle attachment at the nano-scale since these interactions dictate field scale transport behavior. It has been previously demonstrated that roughness imposes a finite slip vector at the surface that causes particles to experience higher near-surface velocities than would be expected over a smooth surface. Slip near a rough surface can affect two primary mechanisms of particle attenuation: 1) interception of the surface (finding a landing spot) and 2) arrest on the surface (sticking the landing). However, a clear designation on how slip affects particle transport near rough surfaces is missing. The goal of this study was to provide a guide for the height of the slip layer and contact surface in reference to the mean-plane for rough surfaces. Direct observation was used to measure near-surface velocities of particles translating near surfaces of varying roughness spanning three orders of magnitude. The influence of roughness on particle transport was investigated using computational fluid dynamics (CFD) modeling with rough surfaces measured with atomic force microscopy (AFM). The CFD and experimental results were used to calibrate a Lagrangian particle transport model that utilizes simple modifications to the flow field for a smooth surface using statistically based roughness parameters. Advantages of the Lagrangian model are significantly decreased computation times and applicability to a wide range of natural surfaces without explicitly simulating individual asperities. The results suggest that the no-slip boundary should be placed at the bottom of the maximum asperity valleys, and that the contact surface should be placed at the root mean square (RMS) roughness above the mean plane. Collector

Use of Behavior and Influence Functions for Relay Selection in Cooperative Communications

DEFF Research Database (Denmark)

Craciunescu, Razvan; Mihovska, Albena Dimitrova; Prasad, Ramjee

2015-01-01

This paper uses a novel set of functions to model the relay selection process in a scenario of cooperative wireless communications. We define a utility function that reflects the behavior and influence that a selected relay may have on the quality of the link to be established for the forwarding...... of data. The utility function takes into account also the strategies of other players. To this end, we define a relay selection game and a supporting Nash Equilibrium (NE) algorithm for the choice of a relay during communication. The successful selection of a relay is evaluated by simulations in terms...

Experienced Practitioners' Beliefs Utilized to Create a Successful Massage Therapist Conceptual Model: a Qualitative Investigation.

Science.gov (United States)

Kennedy, Anne B; Munk, Niki

2017-06-01

The massage therapy profession in the United States has grown exponentially, with 35% of the profession's practitioners in practice for three years or less. Investigating personal and social factors with regard to the massage therapy profession could help to identify constructs needed to be successful in the field. This data-gathering exercise explores massage therapists' perceptions on what makes a successful massage therapist that will provide guidance for future research. Success is defined as supporting oneself and practice solely through massage therapy and related, revenue-generating field activity. Ten successful massage therapy practitioners from around the United States who have a minimum of five years of experience. Semistructured qualitative interviews were used in an analytic induction framework; index cards with preidentified concepts printed on them were utilized to enhance conversation. An iterative process of interview coding and analysis was used to determine themes and subthemes. Based on the participants input, the categories in which therapists needed to be successful were organized into four main themes: effectively establish therapeutic relationships, develop massage therapy business acumen, seek valuable learning environments and opportunities, and cultivate strong social ties and networks. The four themes operate within specific contexts (e.g., regulation and licensing requirements in the therapists' state), which may also influence the success of the massage therapist. The model needs to be tested to explore which constructs explain variability in success and attrition rate. Limitations and future research implications are discussed.

The Model of Integrated Marketing Communication: Who has the Role to Influence Consumer Behaviour

Directory of Open Access Journals (Sweden)

Olimpia Elena Mihaela Oancea

2015-02-01

Full Text Available The purpose of this paper is proposes a theoretical framework to investigate the models of integrated marketing communication that can influence the consumer behaviour, and the development a model of integrated marketing communication. The research goals aim the following aspects: (a The analyze of the IMC concept; (b Identifying and analyzing the main models of integrated marketing communication that can influence the consumer behaviour; (c Identifying the variables that will be included in the conceptual model of integrated marketing communication proposed. A review of the integrated marketing communication literature show the fact that were developed a series models of integrated marketing communication which has the role to influence the consumer buying behavior, but these not capture the correlation between the following factors: sociological variables, external stimuli, integrated marketing communication and consumer behavior. The method used was the secondary research in order to fulfill the research objectives established. The major result of this paper consists in proposing of a new conceptual model of integrated marketing communication that captures the correlation between external stimuli - sociological variables - integrated marketing communication - consumer behavior.

Comprehensive Influence Model of Preschool Children’s Personality Development Based on the Bayesian Network

Directory of Open Access Journals (Sweden)

Yan Sun

2014-01-01

Full Text Available It is crucial to ascertain the comprehensive influence factors on personality for making effective cultivating plan. However, most existing literatures focus on the effect of individual factor on the personality. In order to comprehensively investigate the causal influences of preschool children’s temperament, school factors (teacher expectation and peer acceptance, and family factors (parental coparenting style, parental education value, and parental parenting style on the personality and the probability of the dependencies among these influence factors, we constructed the influencing factor model of personality development based on the Bayesian network. The models not only reflect the influence on personality development as a whole, but also obtain the probability relationships among the factors. Compared with other influence factors including family and school factors, temperament has more effect on the personality. In addition, teacher expectation also has an important influence on the personality. The experimental results show that it is a valuable exploration to construct the Bayesian network for comprehensively investigating the causal relationships between preschool children’s personality and related influence factors. Further, these results will be helpful to the cultivation of healthy personality.

Influence of Internet Accessibility and Demographic factors on utilization of Web-based Health Information Resources by Resident Doctors in Nigeria.

Science.gov (United States)

Ajuwon, G A; Popoola, S O

2014-09-01

The internet is a huge library with avalanche of information resources including healthcare information. There are numerous studies on use of electronic resources by healthcare providers including medical practitioners however, there is a dearth of information on the patterns of use of web-based health information resource by resident doctors in Nigeria. This study therefore investigates the influence of internet accessibility and demographic factors on utilization of web-based health information resources by resident doctors in tertiary healthcare institutions in Nigeria. Descriptive survey design was adopted for this study. The population of study consisted of medical doctors undergoing residency training in 13 tertiary healthcare institutions in South-West Nigeria. The tertiary healthcare institutions were Federal Medical Centres, University Teaching Hospitals and Specialist Hospitals (Neuropsychiatric and Orthopaedic). A pre-tested, self-administered questionnaire was used for data collection. The Statistical Package for the Social Sciences (SPSS) was used for data analysis. Data were analyzed using descriptive statistics, Pearson Product Moment correlation and multiple regression analysis. The mean age of the respondents was 34 years and males were in the majority (69.0%). A total of 96.1% respondents had access to the Internet. E-mail (X̄=5.40, SD=0.91), Google (X̄=5.26, SD=1.38), Yahoo (X̄=5.15, SD=4.44) were used weekly by the respondents. Preparation for Seminar/Grand Round presentation (X̄=8.4, SD=1.92), research (X̄=7.8, SD=2.70) and communication (X̄=7.6, SD=2.60) were ranked high as purposes for use of web-based information resources. There is a strong, positive and significant relationship between internet accessibility and utilization of web-based health information resources (r=0.628, pdesignation (B=-0.343) educational qualification (B=2.411) significantly influence utilization of web-based health information resources of the respondents. A

Interdependent binary choices under social influence: Phase diagram for homogeneous unbiased populations

Science.gov (United States)

Fernández del Río, Ana; Korutcheva, Elka; de la Rubia, Javier

2012-07-01

Coupled Ising models are studied in a discrete choice theory framework, where they can be understood to represent interdependent choice making processes for homogeneous populations under social influence. Two different coupling schemes are considered. The nonlocal or group interdependence model is used to study two interrelated groups making the same binary choice. The local or individual interdependence model represents a single group where agents make two binary choices which depend on each other. For both models, phase diagrams, and their implications in socioeconomic contexts, are described and compared in the absence of private deterministic utilities (zero opinion fields).

The influence of the ratio bias phenomenon on the elicitation of health states utilities

Directory of Open Access Journals (Sweden)

Jose-Luis Pinto-Prades

2006-11-01

Full Text Available This paper tests whether logically equivalent risk formats can lead to different health state utilities elicited by means of the traditional standard gamble (SG method and a modified version of the method that we call ``double lottery.'' We compare utilities for health states elicited when probabilities are framed in terms of frequencies with respect to 100 people in the population (i.e., X out of 100 who follow a medical treatment will die with SG utilities elicited for frequencies with respect to 1,000 people in the population (i.e., Y out of 1,000 who follow a medical treatment will die. We found that people accepted a lower risk of death when success and failure probabilities were framed as frequencies type ``Y deaths out of 1,000'' rather than as frequencies type ``X deaths out of 100'' and hence the utilities for health outcomes were higher when the denominator was 1000 than when it was 100. This framing effect, known as Ratio Bias, may have important consequences in resource allocation decisions.

The influence of supplements of cotton seed cake on the utilization ...

African Journals Online (AJOL)

A juidicious use of the protein concentrate for optimum feed intake and feed utilization makes the 50% CSC supplementation more desireable. A 50% cotton seed cake supplementation of the sorghum glume is recommended as suitable in the dry season feeding of the goat. Key words: Goat, sorghum glume, crop residue, ...

Safe delivery care practices in western Nepal: Does women’s autonomy influence the utilization of skilled care at birth?

Science.gov (United States)

Kutty, V. Raman; Sarma, P. Sankara; Dangal, Ganesh

2017-01-01

Despite various efforts to increase the utilization of skilled birth attendants (SBA), nearly two-thirds of deliveries take place at home without the assistance of SBAs in Nepal. We hypothesized that the ability of women to take decisions about their own lives—women’s autonomy—plays an important part in birth choices. To know this, we conducted a community-based cross-sectional study for assessing women’s autonomy and utilization of safe delivery care service in Kapilvastu district of Nepal from June to October 2014. We used multivariate modeling to associate socioeconomic factors and women’s autonomy with the utilization of safe delivery care services. Just over one-third of women sought institutional delivery care during the birth of their last child. Out of the total deliveries at health facilities, nearly 58% women visited health facility for self-reported emergency obstructive care. Only 6.2% home deliveries were handled by health workers and 14.7% women used the safe delivery kit for home delivery care. Higher levels of women’s education had a strong positive association (odds ratio = 24.11, CI = 9.43–61.64) with institutional delivery care. Stratified analysis showed that when the husband is educated, women’s education seems to work partly through their autonomy in decision making. Educational status of women emerged as one of the key predictors of the utilization of delivery care services in Kapilvastu district. Economic status of household and husband’s education are other dominant predictors of the utilization of safe delivery care services. Improving the economic and educational status may be the way out for improving the proportion of institutional deliveries. Women’s autonomy may be an important mediating factor in this pathway. PMID:28771579

Practical utilization of modeling and simulation in laboratory process waste assessments

International Nuclear Information System (INIS)

Lyttle, T.W.; Smith, D.M.; Weinrach, J.B.; Burns, M.L.

1993-01-01

At Los Alamos National Laboratory (LANL), facility waste streams tend to be small but highly diverse. Initial characterization of such waste streams is difficult in part due to a lack of tools to assist the waste generators in completing such assessments. A methodology has been developed at LANL to allow process knowledgeable field personnel to develop baseline waste generation assessments and to evaluate potential waste minimization technology. This process waste assessment (PWA) system is an application constructed within the process modeling system. The Process Modeling System (PMS) is an object-oriented, mass balance-based, discrete-event simulation using the common LISP object system (CLOS). Analytical capabilities supported within the PWA system include: complete mass balance specifications, historical characterization of selected waste streams and generation of facility profiles for materials consumption, resource utilization and worker exposure. Anticipated development activities include provisions for a best available technologies (BAT) database and integration with the LANL facilities management Geographic Information System (GIS). The environments used to develop these assessment tools will be discussed in addition to a review of initial implementation results

The Role of Economic Strain on Adolescent Delinquency: A Microsocial Process Model

OpenAIRE

Low, Sabina; Sinclair, Ryan; Shortt, Joann Wu

2012-01-01

The current study examines the role of economic strain as a moderator of the microsocial processes influencing younger siblings’ delinquency (externalizing behavior and substance use) in a longitudinal design. The younger siblings (122 younger brothers and 122 younger sisters) were from 244 families with same-sex biological siblings. Structural equation modeling was utilized to examine a process model whereby mothers’ harsh/inconsistent parenting and older sibling delinquency influence younge...

Influence Factor of Tertiary Students’ Employability Awareness Adjust Industry 4.0

Directory of Open Access Journals (Sweden)

Chun-Mei Chou

2017-09-01

Full Text Available This study aims to analyze the correlation (N=621 among tertiary students’ career planning, erecruiting adoption acceptance, and employability awareness in Taiwan. Tertiary students’ perceived career planning includes four factors, namely, self-appraisal, job expectancy, goal selection, and problem solving. E-recruiting adoption acceptance includes four factors, namely, playfulness, ease of use, effectiveness, and usefulness. Employability awareness includes four factors, namely, personal adaptability, employability ambition, career identity, and labour market. Participants responded to a 5-point Likert-type scale for each factor. Analysis was conducted using the structural equation modeling (SEM, and a good model fit was found for both the measurement and structural models. Research findings demonstrate that tertiary students’ career planning significantly and directly influences employability awareness. Career planning significantly and indirectly influences employability awareness by e-recruiting adoption acceptance. Tertiary students’ career planning and e-recruiting adoption acceptance fit the influence model and empirical data of employability awareness. Implications of this study, including the value of student self-assessment of their skills and utility of the e-recruiting to underpin personal career development planning and inform graduate recruitment processes, are discussed and recommendations made.

Approximate Solutions of Interactive Dynamic Influence Diagrams Using Model Clustering

DEFF Research Database (Denmark)

Zeng, Yifeng; Doshi, Prashant; Qiongyu, Cheng

2007-01-01

Interactive dynamic influence diagrams (I-DIDs) offer a transparent and semantically clear representation for the sequential decision-making problem over multiple time steps in the presence of other interacting agents. Solving I-DIDs exactly involves knowing the solutions of possible models...

Influence of horizontal resolution and ensemble size on model performance

CSIR Research Space (South Africa)

Dalton, A

2014-10-01

Full Text Available Conference of South African Society for Atmospheric Sciences (SASAS), Potchefstroom, 1-2 October 2014 Influence of horizontal resolution and ensemble size on model performance Amaris Dalton*¹, Willem A. Landman ¹ʾ² ¹Departmen of Geography, Geo...

US versus non-US utility procurement practices

International Nuclear Information System (INIS)

Clark, H.

1991-01-01

Utilities, particularly in the USA, have often been accused by the uranium industry of behaving like a herd with respect to their activities in the nuclear fuel market. While I disagree with this characterization, I do recognize that utilities in general have certain common motivations influencing their nuclear fuel procurement activities which may make them appear to follow each other. This paper reviews these motivations, how they differ between US and non-US utilities, how such differences lead to different procurement practices in the USA and elsewhere, the resulting impacts on the nuclear fuel market, and the changes, if, any, which one may expect in the future. The discussion in this paper is geared mainly towards the uranium market, though the concepts discussed are also somewhat applicable to the other components of nuclear fuel. (author)

Modeling the influence of snow cover on low Arctic net ecosystem exchange

International Nuclear Information System (INIS)

Luus, K A; Kelly, R E J; Lin, J C; Humphreys, E R; Lafleur, P M; Oechel, W C

2013-01-01

The Arctic net ecosystem exchange (NEE) of CO 2 between the land surface and the atmosphere is influenced by the timing of snow onset and melt. The objective of this study was to examine whether uncertainty in model estimates of NEE could be reduced by representing the influence of snow on NEE using remote sensing observations of snow cover area (SCA). Observations of NEE and time-lapse images of SCA were collected over four locations at a low Arctic site (Daring Lake, NWT) in May–June 2010. Analysis of these observations indicated that SCA influences NEE, and that good agreement exists between SCA derived from time-lapse images, Landsat and MODIS. MODIS SCA was therefore incorporated into the vegetation photosynthesis respiration model (VPRM). VPRM was calibrated using observations collected in 2005 at Daring Lake. Estimates of NEE were then generated over Daring Lake and Ivotuk, Alaska (2004–2007) using VPRM formulations with and without explicit representations of the influence of SCA on respiration and/or photosynthesis. Model performance was assessed by comparing VPRM output against unfilled eddy covariance observations from Daring Lake and Ivotuk (2004–2007). The uncertainty in VPRM estimates of NEE was reduced when respiration was estimated as a function of air temperature when SCA ≤ 50% and as a function of soil temperature when SCA > 50%. (letter)

Energy Utilization Evaluation of Carbon Performance in Public Projects by FAHP and Cloud Model

Directory of Open Access Journals (Sweden)

Lin Li

2016-07-01

Full Text Available With the low-carbon economy advocated all over the world, how to use energy reasonably and efficiently in public projects has become a major issue. It has brought many open questions, including which method is more reasonable in evaluating the energy utilization of carbon performance in public projects when the evaluation information is fuzzy; whether an indicator system can be constructed; and which indicators have more impact on carbon performance. This article aims to solve these problems. We propose a new carbon performance evaluation system for energy utilization based on project processes (design, construction, and operation. Fuzzy Analytic Hierarchy Process (FAHP is used to accumulate the indicator weights and cloud model is incorporated when the indicator value is fuzzy. Finally, we apply our indicator system to a case study of the Xiangjiang River project in China, which demonstrates the applicability and efficiency of our method.

Remote and Local Influences in Forecasting Pacific SST: a Linear Inverse Model and a Multimodel Ensemble Study

Science.gov (United States)

Faggiani Dias, D.; Subramanian, A. C.; Zanna, L.; Miller, A. J.

2017-12-01

Sea surface temperature (SST) in the Pacific sector is well known to vary on time scales from seasonal to decadal, and the ability to predict these SST fluctuations has many societal and economical benefits. Therefore, we use a suite of statistical linear inverse models (LIMs) to understand the remote and local SST variability that influences SST predictions over the North Pacific region and further improve our understanding on how the long-observed SST record can help better guide multi-model ensemble forecasts. Observed monthly SST anomalies in the Pacific sector (between 15oS and 60oN) are used to construct different regional LIMs for seasonal to decadal prediction. The forecast skills of the LIMs are compared to that from two operational forecast systems in the North American Multi-Model Ensemble (NMME) revealing that the LIM has better skill in the Northeastern Pacific than NMME models. The LIM is also found to have comparable forecast skill for SST in the Tropical Pacific with NMME models. This skill, however, is highly dependent on the initialization month, with forecasts initialized during the summer having better skill than those initialized during the winter. The forecast skill with LIM is also influenced by the verification period utilized to make the predictions, likely due to the changing character of El Niño in the 20th century. The North Pacific seems to be a source of predictability for the Tropics on seasonal to interannual time scales, while the Tropics act to worsen the skill for the forecast in the North Pacific. The data were also bandpassed into seasonal, interannual and decadal time scales to identify the relationships between time scales using the structure of the propagator matrix. For the decadal component, this coupling occurs the other way around: Tropics seem to be a source of predictability for the Extratropics, but the Extratropics don't improve the predictability for the Tropics. These results indicate the importance of temporal

Imprecise results: Utilizing partial computations in real-time systems

Science.gov (United States)

Lin, Kwei-Jay; Natarajan, Swaminathan; Liu, Jane W.-S.

1987-01-01

In real-time systems, a computation may not have time to complete its execution because of deadline requirements. In such cases, no result except the approximate results produced by the computations up to that point will be available. It is desirable to utilize these imprecise results if possible. Two approaches are proposed to enable computations to return imprecise results when executions cannot be completed normally. The milestone approach records results periodically, and if a deadline is reached, returns the last recorded result. The sieve approach demarcates sections of code which can be skipped if the time available is insufficient. By using these approaches, the system is able to produce imprecise results when deadlines are reached. The design of the Concord project is described which supports imprecise computations using these techniques. Also presented is a general model of imprecise computations using these techniques, as well as one which takes into account the influence of the environment, showing where the latter approach fits into this model.

Assessing the utility of an anti-malarial pharmacokinetic-pharmacodynamic model for aiding drug clinical development