Building a Comprehensive Mill-Level Database for the Industrial Sectors Integrated Solutions (ISIS) Model of the U.S. Pulp and Paper Sector

EPA Science Inventory

The Industrial Sectors Integrated Solutions (ISIS) model for the pulp and paper sector is currently under development at the U.S. Environmental Protection Agency (EPA), and can be utilized to facilitate multi-pollutant sector-based analyses that are performed in conjunction with ...

1992 NASA Life Support Systems Analysis workshop

NASA Technical Reports Server (NTRS)

Evanich, Peggy L.; Crabb, Thomas M.; Gartrell, Charles F.

1992-01-01

The 1992 Life Support Systems Analysis Workshop was sponsored by NASA's Office of Aeronautics and Space Technology (OAST) to integrate the inputs from, disseminate information to, and foster communication among NASA, industry, and academic specialists. The workshop continued discussion and definition of key issues identified in the 1991 workshop, including: (1) modeling and experimental validation; (2) definition of systems analysis evaluation criteria; (3) integration of modeling at multiple levels; and (4) assessment of process control modeling approaches. Through both the 1991 and 1992 workshops, NASA has continued to seek input from industry and university chemical process modeling and analysis experts, and to introduce and apply new systems analysis approaches to life support systems. The workshop included technical presentations, discussions, and interactive planning, with sufficient time allocated for discussion of both technology status and technology development recommendations. Key personnel currently involved with life support technology developments from NASA, industry, and academia provided input to the status and priorities of current and future systems analysis methods and requirements.

Artificial Immune Algorithm for Subtask Industrial Robot Scheduling in Cloud Manufacturing

NASA Astrophysics Data System (ADS)

Suma, T.; Murugesan, R.

2018-04-01

The current generation of manufacturing industry requires an intelligent scheduling model to achieve an effective utilization of distributed manufacturing resources, which motivated us to work on an Artificial Immune Algorithm for subtask robot scheduling in cloud manufacturing. This scheduling model enables a collaborative work between the industrial robots in different manufacturing centers. This paper discussed two optimizing objectives which includes minimizing the cost and load balance of industrial robots through scheduling. To solve these scheduling problems, we used the algorithm based on Artificial Immune system. The parameters are simulated with MATLAB and the results compared with the existing algorithms. The result shows better performance than existing.

Digital Sketch Modelling: Integrating Digital Sketching as a Transition between Sketching and CAD in Industrial Design Education

ERIC Educational Resources Information Center

Ranscombe, Charlie; Bissett-Johnson, Katherine

2017-01-01

Literature on the use of design tools in educational settings notes an uneasy relationship between student use of traditional hand sketching and digital modelling tools (CAD) during the industrial design process. This is often manifested in the transition from sketching to CAD and exacerbated by a preference of current students to use CAD. In this…

Models for open innovation in the pharmaceutical industry.

PubMed

Schuhmacher, Alexander; Germann, Paul-Georg; Trill, Henning; Gassmann, Oliver

2013-12-01

The nature of the pharmaceutical industry is such that the main driver for its growth is innovation. In view of the vast challenges that the industry has been facing for several years and, in particular, how to manage stagnating research and development (R&D) productivity, pharmaceutical companies have opened their R&D organizations to external innovation. Here, we identify and characterize four new types of open innovator, which we call 'knowledge creator', 'knowledge integrator', 'knowledge translator' and 'knowledge leverager', and which describe current open R&D models. Copyright © 2013 Elsevier Ltd. All rights reserved.

Stratification established by peeling detrainment from gravity currents: laboratory experiments and models

NASA Astrophysics Data System (ADS)

Hogg, Charlie; Dalziel, Stuart; Huppert, Herbert; Imberger, Jorg; Department of Applied Mathematics; Theoretical Physics Team; CentreWater Research Team

2014-11-01

Dense gravity currents feed fluid into confined basins in lakes, the oceans and many industrial applications. Existing models of the circulation and mixing in such basins are often based on the currents entraining ambient fluid. However, recent observations have suggested that uni-directional entrainment into a gravity current does not fully describe the mixing in such currents. Laboratory experiments were carried out which visualised peeling detrainment from the gravity current occurring when the ambient fluid was stratified. A theoretical model of the observed peeling detrainment was developed to predict the stratification in the basin. This new model gives a better approximation of the stratification observed in the experiments than the pre-existing entraining model. The model can now be developed such that it integrates into operational models of lakes.

System dynamic modelling of industrial growth and landscape ecology in China.

PubMed

Xu, Jian; Kang, Jian; Shao, Long; Zhao, Tianyu

2015-09-15

With the rapid development of large industrial corridors in China, the landscape ecology of the country is currently being affected. Therefore, in this study, a system dynamic model with multi-dimensional nonlinear dynamic prediction function that considers industrial growth and landscape ecology is developed and verified to allow for more sustainable development. Firstly, relationships between industrial development and landscape ecology in China are examined, and five subsystems are then established: industry, population, urban economy, environment and landscape ecology. The main influencing factors are then examined for each subsystem to establish flow charts connecting those factors. Consequently, by connecting the subsystems, an overall industry growth and landscape ecology model is established. Using actual data and landscape index calculated based on GIS of the Ha-Da-Qi industrial corridor, a typical industrial corridor in China, over the period 2005-2009, the model is validated in terms of historical behaviour, logical structure and future prediction, where for 84.8% of the factors, the error rate of the model is less than 5%, the mean error rate of all factors is 2.96% and the error of the simulation test for the landscape ecology subsystem is less than 2%. Moreover, a model application has been made to consider the changes in landscape indices under four industrial development modes, and the optimal industrial growth plan has been examined for landscape ecological protection through the simulation prediction results over 2015-2020. Copyright © 2015 Elsevier Ltd. All rights reserved.

Scientific misconduct, the pharmaceutical industry, and the tragedy of institutions.

PubMed

Cohen-Kohler, Jillian Clare; Esmail, Laura C

2007-09-01

This paper examines how current legislative and regulatory models do not adequately govern the pharmaceutical industry towards ethical scientific conduct. In the context of a highly profit-driven industry, governments need to ensure ethical and legal standards are not only in place for companies but that they are enforceable. We demonstrate with examples from both industrialized and developing countries how without sufficient controls, there is a risk that corporate behaviour will transgress ethical boundaries. We submit that there is a critical need for urgent drug regulatory reform. There must be robust regulatory structures in place which enforce corporate governance mechanisms to ensure that pharmaceutical companies maintain ethical standards in drug research and development and the marketing of pharmaceuticals. What is also needed is for the pharmaceutical industry to adopt authentic "corporate social responsibility" policies as current policies and practices are insufficient.

Integrated healthy workplace model: An experience from North Indian industry

PubMed Central

Thakur, Jarnail Singh; Bains, Puneet; Kar, Sitanshu Sekhar; Wadhwa, Sanjay; Moirangthem, Prabha; Kumar, Rajesh; Wadwalker, Sanjay; Sharma, Yashpal

2012-01-01

Background: Keeping in view of rapid industrialization and growing Indian economy, there has been a substantial increase in the workforce in India. Currently there is no organized workplace model for promoting health of industrial workers in India. Objective: To develop and implement a healthy workplace model in three industrial settings of North India. Materials and Methods: An operations research was conducted for 12 months in purposively selected three industries of Chandigarh. In phase I, a multi-stakeholder workshop was conducted to finalize the components and tools for the healthy workplace model. NCD risk factors were assessed in 947 employees in these three industries. In phase II, the healthy workplace model was implemented on pilot basis for a period of 12 months in these three industries to finalize the model. Findings: Healthy workplace committee with involvement of representatives of management, labor union and research organization was formed in three industries. Various tools like comprehensive and rapid healthy workplace assessment forms, NCD work-lite format for risk factors surveillance and monitoring and evaluation format were developed. The prevalence of tobacco use, ever alcoholics was found to be 17.8% and 47%, respectively. Around one-third (28%) of employees complained of back pain in the past 12 months. Healthy workplace model with focus on three key components (physical environment, psychosocial work environment, and promoting healthy habits) was developed, implemented on pilot basis, and finalized based on experience in participating industries. A stepwise approach for model with a core, expanded, and optional components were also suggested. An accreditation system is also required for promoting healthy workplace program. Conclusion: Integrated healthy workplace model is feasible, could be implemented in industrial setting in northern India and needs to be pilot tested in other parts of the country. PMID:23776318

Community stakeholder responses to advocacy advertising

DOE Office of Scientific and Technical Information (OSTI.GOV)

Miller, B.; Sinclair, J.

Focus group research was used to examine how community stakeholders, a group with local industry experience, responded to coal industry advocacy messages. The stakeholders expressed beliefs about both the advertiser and the coal industry, and while their knowledge led to critical consideration of the industry campaign, they also expressed a desire to identify with positive messages about their community. Applying a postpositivist research perspective, a new model is introduced to integrate these beliefs in terms of advertiser trust and industry accountability under the existing theoretical framework of persuasion knowledge. Agent and topic knowledge are combined in this model based onmore » responses to the industry advocacy campaign. In doing so, this study integrates a priori theory within a new context, extending the current theoretical framework to include an understanding of how community stakeholders - a common target for marketplace advocacy - interpret industry messages.« less

Development of a model of the tobacco industry's interference with tobacco control programmes

PubMed Central

Trochim, W; Stillman, F; Clark, P; Schmitt, C

2003-01-01

Objective: To construct a conceptual model of tobacco industry tactics to undermine tobacco control programmes for the purposes of: (1) developing measures to evaluate industry tactics, (2) improving tobacco control planning, and (3) supplementing current or future frameworks used to classify and analyse tobacco industry documents. Design: Web based concept mapping was conducted, including expert brainstorming, sorting, and rating of statements describing industry tactics. Statistical analyses used multidimensional scaling and cluster analysis. Interpretation of the resulting maps was accomplished by an expert panel during a face-to-face meeting. Subjects: 34 experts, selected because of their previous encounters with industry resistance or because of their research into industry tactics, took part in some or all phases of the project. Results: Maps with eight non-overlapping clusters in two dimensional space were developed, with importance ratings of the statements and clusters. Cluster and quadrant labels were agreed upon by the experts. Conclusions: The conceptual maps summarise the tactics used by the industry and their relationships to each other, and suggest a possible hierarchy for measures that can be used in statistical modelling of industry tactics and for review of industry documents. Finally, the maps enable hypothesis of a likely progression of industry reactions as public health programmes become more successful, and therefore more threatening to industry profits. PMID:12773723

Data on industrial new orders for the euro area.

PubMed

de Bondt, Gabe J; Dieden, Heinz C; Muzikarova, Sona; Pavlova, Iskra

2016-12-01

This data article provides time series on euro area industrial new orders and is related to the research article entitled "Modelling industrial new orders" (G.J. de Bondt, H.C. Dieden, S. Muzikarova, I. Vincze, 2014b) [3]. The data are in index format with a fixed base year (currently 2010) for total new orders as well as a number of breakdowns. The euro area data are based on the official national data for countries that still collect data and on European Central Bank (ECB) model estimates for countries that discontinued the data collection. The weighting scheme to calculate euro area aggregates makes use of country weights derived from industrial turnover statistics as published by Eurostat.

40 CFR 68.28 - Alternative release scenario analysis.

Code of Federal Regulations, 2012 CFR

2012-07-01

... Consequence Analysis Guidance or any commercially or publicly available air dispersion modeling techniques, provided the techniques account for the specified modeling conditions and are recognized by industry as applicable as part of current practices. Proprietary models that account for the modeling conditions may be...

40 CFR 68.28 - Alternative release scenario analysis.

Code of Federal Regulations, 2013 CFR

2013-07-01

... Consequence Analysis Guidance or any commercially or publicly available air dispersion modeling techniques, provided the techniques account for the specified modeling conditions and are recognized by industry as applicable as part of current practices. Proprietary models that account for the modeling conditions may be...

40 CFR 68.28 - Alternative release scenario analysis.

Code of Federal Regulations, 2014 CFR

2014-07-01

... Consequence Analysis Guidance or any commercially or publicly available air dispersion modeling techniques, provided the techniques account for the specified modeling conditions and are recognized by industry as applicable as part of current practices. Proprietary models that account for the modeling conditions may be...

Simulation Modeling of Resilience Assessment in Indonesian Fertiliser Industry Supply Networks

NASA Astrophysics Data System (ADS)

Utami, I. D.; Holt, R. J.; McKay, A.

2018-01-01

Supply network resilience is a significant aspect in the performance of the Indonesian fertiliser industry. Decision makers use risk assessment and port management reports to evaluate the availability of infrastructure. An opportunity was identified to incorporate both types of data into an approach for the measurement of resilience. A framework, based on a synthesis of literature and interviews with industry practitioners, covering both social and technical factors is introduced. A simulation model was then built to allow managers to explore implications for resilience and predict levels of risk in different scenarios. Result of interview with respondens from Indonesian fertiliser industry indicated that the simulation model could be valuable in the assessment. This paper provides details of the simulation model for decision makers to explore levels of risk in supply networks. For practitioners, the model could be used by government to assess the current condition of supply networks in Indonesian industries. On the other hand, for academia, the approach provides a new application of agent-based models in research on supply network resilience and presents a real example of how agent-based modeling could be used as to support the assessment approach.

Training for the Future. How Can Trainees Meet Current and Future Needs of Industry? Guidelines and Models for the Development of Interdisciplinary Assignments Based on the Concept of Key Technologies.

ERIC Educational Resources Information Center

Bolton, William; Clyde, Albert

This document provides guidelines for the development of interdisciplinary assignments to help prepare learners for the developing needs of industry; it also contains a collection of model assignments produced by 12 British colleges. An introduction explains how to use the document and offers a checklist for the development of interdisciplinary…

A fuzzy model for assessing risk of occupational safety in the processing industry.

PubMed

Tadic, Danijela; Djapan, Marko; Misita, Mirjana; Stefanovic, Miladin; Milanovic, Dragan D

2012-01-01

Managing occupational safety in any kind of industry, especially in processing, is very important and complex. This paper develops a new method for occupational risk assessment in the presence of uncertainties. Uncertain values of hazardous factors and consequence frequencies are described with linguistic expressions defined by a safety management team. They are modeled with fuzzy sets. Consequence severities depend on current hazardous factors, and their values are calculated with the proposed procedure. The proposed model is tested with real-life data from fruit processing firms in Central Serbia.

ASSESSMENT OF DYNAMIC PRA TECHNIQUES WITH INDUSTRY AVERAGE COMPONENT PERFORMANCE DATA

DOE Office of Scientific and Technical Information (OSTI.GOV)

Yadav, Vaibhav; Agarwal, Vivek; Gribok, Andrei V.

In the nuclear industry, risk monitors are intended to provide a point-in-time estimate of the system risk given the current plant configuration. Current risk monitors are limited in that they do not properly take into account the deteriorating states of plant equipment, which are unit-specific. Current approaches to computing risk monitors use probabilistic risk assessment (PRA) techniques, but the assessment is typically a snapshot in time. Living PRA models attempt to address limitations of traditional PRA models in a limited sense by including temporary changes in plant and system configurations. However, information on plant component health are not considered. Thismore » often leaves risk monitors using living PRA models incapable of conducting evaluations with dynamic degradation scenarios evolving over time. There is a need to develop enabling approaches to solidify risk monitors to provide time and condition-dependent risk by integrating traditional PRA models with condition monitoring and prognostic techniques. This paper presents estimation of system risk evolution over time by integrating plant risk monitoring data with dynamic PRA methods incorporating aging and degradation. Several online, non-destructive approaches have been developed for diagnosing plant component conditions in nuclear industry, i.e., condition indication index, using vibration analysis, current signatures, and operational history [1]. In this work the component performance measures at U.S. commercial nuclear power plants (NPP) [2] are incorporated within the various dynamic PRA methodologies [3] to provide better estimates of probability of failures. Aging and degradation is modeled within the Level-1 PRA framework and is applied to several failure modes of pumps and can be extended to a range of components, viz. valves, generators, batteries, and pipes.« less

DEM GPU studies of industrial scale particle simulations for granular flow civil engineering applications

NASA Astrophysics Data System (ADS)

Pizette, Patrick; Govender, Nicolin; Wilke, Daniel N.; Abriak, Nor-Edine

2017-06-01

The use of the Discrete Element Method (DEM) for industrial civil engineering industrial applications is currently limited due to the computational demands when large numbers of particles are considered. The graphics processing unit (GPU) with its highly parallelized hardware architecture shows potential to enable solution of civil engineering problems using discrete granular approaches. We demonstrate in this study the pratical utility of a validated GPU-enabled DEM modeling environment to simulate industrial scale granular problems. As illustration, the flow discharge of storage silos using 8 and 17 million particles is considered. DEM simulations have been performed to investigate the influence of particle size (equivalent size for the 20/40-mesh gravel) and induced shear stress for two hopper shapes. The preliminary results indicate that the shape of the hopper significantly influences the discharge rates for the same material. Specifically, this work shows that GPU-enabled DEM modeling environments can model industrial scale problems on a single portable computer within a day for 30 seconds of process time.

Dynamic modelling of high biomass density cultivation and biohydrogen production in different scales of flat plate photobioreactors.

PubMed

Zhang, Dongda; Dechatiwongse, Pongsathorn; Del Rio-Chanona, Ehecatl Antonio; Maitland, Geoffrey C; Hellgardt, Klaus; Vassiliadis, Vassilios S

2015-12-01

This paper investigates the scaling-up of cyanobacterial biomass cultivation and biohydrogen production from laboratory to industrial scale. Two main aspects are investigated and presented, which to the best of our knowledge have never been addressed, namely the construction of an accurate dynamic model to simulate cyanobacterial photo-heterotrophic growth and biohydrogen production and the prediction of the maximum biomass and hydrogen production in different scales of photobioreactors. To achieve the current goals, experimental data obtained from a laboratory experimental setup are fitted by a dynamic model. Based on the current model, two key original findings are made in this work. First, it is found that selecting low-chlorophyll mutants is an efficient way to increase both biomass concentration and hydrogen production particularly in a large scale photobioreactor. Second, the current work proposes that the width of industrial scale photobioreactors should not exceed 0.20 m for biomass cultivation and 0.05 m for biohydrogen production, as severe light attenuation can be induced in the reactor beyond this threshold. © 2015 Wiley Periodicals, Inc.

Modern information and telecommunication technologies in educational process as the element of ongoing personnel training for high-tech Russian industry

NASA Astrophysics Data System (ADS)

Matyatina, A. N.; Isaev, A. A.; Samovarschikov, Y. V.

2017-01-01

In the current work the issues of staffing high-tech sectors of Russian industry are considered in the context of global geopolitical instability, the comparative analysis of the age structure of domestic companies with the leading Western industrial organizations was conducted, "growth points" of human resources development were defined. For the purpose of informational and telecommunicational implementation in the educational process the analysis of normative-legal documents regulating the requirements to the electronic educational environment and distance learning technologies is presented. The basic models of distance learning technologies and remote resources as part of teaching materials are used. Taking into account the specifics and requirements of industrial enterprises a number of tools and methodology of e-learning based on the identified needs of the industrial sector were offered. The basis of the proposed model is built on one-parameter model through a three-tier learning: kindergarten - secondary - higher education (professional) where the lifecycle of parameter is a list of the industrial enterprises demands to the educational process.

Journalism Meets Interaction Design: An Interdisciplinary Undergraduate Teaching Initiative

ERIC Educational Resources Information Center

Angus, Daniel; Doherty, Skye

2015-01-01

As the media industry moves to a post-industrial model, there is a need for journalists--current and future--to have a deeper understanding of the ways that technology impacts their work and how best to produce journalism for mobile and networked devices. This article examines a teaching initiative designed to introduce journalism students to…

When will on-orbit servicing be part of the space enterprise?

NASA Astrophysics Data System (ADS)

Hastings, Daniel E.; Putbrese, Benjamin L.; La Tour, Paul A.

2016-10-01

The space industry is currently at a significant inflection point. Over the past decades, many spacecraft at geosynchronous orbit have continued a trend towards increasingly massive and longer-lasting satellites, and while they do represent some of the most exquisite, highest-performing satellites ever launched, some experts now feel that such trends are unsustainable and are beginning to place increasing strain on the underlying industry. To support current and future spacecraft, on-orbit servicing (OOS) infrastructures have been proposed, which would provide services such as repair, rescue, refueling, and upgrading of customer spacecraft in order to alleviate the identified space industry trends. In this paper, system dynamics modeling is used to assess various scenarios for OOS incorporation into the overall space industry, by evaluating its long-term effects on the design, cost, and underlying experience of a reference geosynchronous constellation. This system dynamics model is based heavily in behavioral economics' Prospect Theory, with such concepts as anchoring and loss aversion factoring heavily into the overall simulation of the space industry. The primary conclusion of this analysis was that relatively low costs and substantial incorporation of servicing capabilities into customer architectures are likely to be necessary to ensure long-term sustainability of such a project. Finally, several policy implications for an OOS infrastructure are outlined.

Japanese Americans, Pluralism, and the Model Minority Myth.

ERIC Educational Resources Information Center

Endo, George T.; Della-Piana, Connie Kubo

1981-01-01

The current belief is that Japanese Americans are passive, industrious, respectful, patient, and intelligent. They have been transformed from the "yellow peril" into the "model minority". Education featuring respect for and awareness of various ethnicities will eliminate much prejudice. (JN)

Analytical evaluation of current starch methods used in the international sugar industry: Part I.

PubMed

Cole, Marsha; Eggleston, Gillian; Triplett, Alexa

2017-08-01

Several analytical starch methods exist in the international sugar industry to mitigate starch-related processing challenges and assess the quality of traded end-products. These methods use iodometric chemistry, mostly potato starch standards, and utilize similar solubilization strategies, but had not been comprehensively compared. In this study, industrial starch methods were compared to the USDA Starch Research method using simulated raw sugars. Type of starch standard, solubilization approach, iodometric reagents, and wavelength detection affected total starch determination in simulated raw sugars. Simulated sugars containing potato starch were more accurately detected by the industrial methods, whereas those containing corn starch, a better model for sugarcane starch, were only accurately measured by the USDA Starch Research method. Use of a potato starch standard curve over-estimated starch concentrations. Among the variables studied, starch standard, solubilization approach, and wavelength detection affected the sensitivity, accuracy/precision, and limited the detection/quantification of the current industry starch methods the most. Published by Elsevier Ltd.

Assessing the industry using Porter's five forces.

PubMed

2014-01-01

To develop a business and plan for the future, there is a need to assess the current situation. One way of doing this is to use Porter's five forces framework. This was the brainchild of Harvard Business School's Michael Porter and developed in 1979. Looking at the competitive intensity of an industry, the model assesses internal and external factors that act together to determine the direction of the business; taken together, this gives an indication of the attractiveness of the industry.

Model Recommended Values of Corporate Culture for Industrial Companies in Slovak Republic

NASA Astrophysics Data System (ADS)

Urbanovičová, Petra; Mikulášková, Justína; Čambál, Miloš

2017-09-01

The main objective of the paper is to describe the recommended values model of corporate culture and supporting business performance for industrial companies operating in the Slovak Republic. This model was developed on the basis of research results within the STU Project to support young researchers entitled "Changing the potential of the companýs success using the principles of spiral management and its impact on corporate culture". The current paper is a part of submitted VEGA project No.1/0348/17 "The impact of the coexistence of different generations of employees on the sustainable performance of organisations". This model will be the basis for defining corporate values and developing or changing corporate culture for the companies operating on or coming (from abroad) to the Slovak market. The characteristic features of the value model are simplicity, complexity and applicability. This model takes into account the current situation on the Slovak market. The values of this model have a different level of significance given and each value is defined by the specified principles.

Atmospheric Nitrogen Trifluoride: Optimized emission estimates using 2-D and 3-D Chemical Transport Models from 1973-2008

NASA Astrophysics Data System (ADS)

Ivy, D. J.; Rigby, M. L.; Prinn, R. G.; Muhle, J.; Weiss, R. F.

2009-12-01

We present optimized annual global emissions from 1973-2008 of nitrogen trifluoride (NF3), a powerful greenhouse gas which is not currently regulated by the Kyoto Protocol. In the past few decades, NF3 production has dramatically increased due to its usage in the semiconductor industry. Emissions were estimated through the 'pulse-method' discrete Kalman filter using both a simple, flexible 2-D 12-box model used in the Advanced Global Atmospheric Gases Experiment (AGAGE) network and the Model for Ozone and Related Tracers (MOZART v4.5), a full 3-D atmospheric chemistry model. No official audited reports of industrial NF3 emissions are available, and with limited information on production, a priori emissions were estimated using both a bottom-up and top-down approach with two different spatial patterns based on semiconductor perfluorocarbon (PFC) emissions from the Emission Database for Global Atmospheric Research (EDGAR v3.2) and Semiconductor Industry Association sales information. Both spatial patterns used in the models gave consistent results, showing the robustness of the estimated global emissions. Differences between estimates using the 2-D and 3-D models can be attributed to transport rates and resolution differences. Additionally, new NF3 industry production and market information is presented. Emission estimates from both the 2-D and 3-D models suggest that either the assumed industry release rate of NF3 or industry production information is still underestimated.

Best practices of Building Information Modelling (BIM) implementation in design phase for construction project

NASA Astrophysics Data System (ADS)

Kasim, N.; Zainal Abidin, N. A.; Zainal, R.; Sarpin, N.; Rahim, M. H. I. Abd; Saikah, M.

2017-11-01

Implementation of Building Information Modelling (BIM) was expected to bring improvement in current practices of Malaysian construction industry. In the design phase, there is a lack of a ready pool of skilled workers who are able to develop BIM strategic plan and effectively utilise it. These create boundaries for BIM nature in Malaysian construction industry specifically in the design phase to achieve its best practices. Therefore, the objectives of this research are to investigate the current practices of BIM implementation in the design phase as well as the best practices factors of BIM implementation in the design phase. The qualitative research approach is carried out through semi-structured interviews with the designers of different organisations which adopt BIM in the design phase. Data collection is analysed by executing content analysis method. From the findings, the best practices factors of BIM implementation in design phase such as the incentive for BIM training, formal approach to monitoring automated Level of Detailing (LOD), run a virtual meeting and improve Industry Foundation Class (IFC). Thus, best practices factors which lead to practices improvements in the design phase of project development which subsequently improves the implementation of BIM in the design phase of Malaysian construction industry.

PDF methods for turbulent reactive flows

NASA Technical Reports Server (NTRS)

Hsu, Andrew T.

1995-01-01

Viewgraphs are presented on computation of turbulent combustion, governing equations, closure problem, PDF modeling of turbulent reactive flows, validation cases, current projects, and collaboration with industry and technology transfer.

Models of current sintering

NASA Astrophysics Data System (ADS)

Angst, Sebastian; Engelke, Lukas; Winterer, Markus; Wolf, Dietrich E.

2017-06-01

Densification of (semi-)conducting particle agglomerates with the help of an electrical current is much faster and more energy efficient than traditional thermal sintering or powder compression. Therefore, this method becomes more and more common among experimentalists, engineers, and in industry. The mechanisms at work at the particle scale are highly complex because of the mutual feedback between current and pore structure. This paper extends previous modelling approaches in order to study mixtures of particles of two different materials. In addition to the delivery of Joule heat throughout the sample, especially in current bottlenecks, thermoelectric effects must be taken into account. They lead to segregation or spatial correlations in the particle arrangement. Various model extensions are possible and will be discussed.

Digital Twin concept for smart injection molding

NASA Astrophysics Data System (ADS)

Liau, Y.; Lee, H.; Ryu, K.

2018-03-01

Injection molding industry has evolved over decades and became the most common method to manufacture plastic parts. Monitoring and improvement in the injection molding industry are usually performed separately in each stage, i.e. mold design, mold making and injection molding process. However, in order to make a breakthrough and survive in the industrial revolution, all the stages in injection molding need to be linked and communicated with each other. Any changes in one stage will cause a certain effect in other stage because there is a correlation between each other. Hence, the simulation should not only based on the input of historical data, but it also needs to include the current condition of equipment and prediction of future events in other stages to make the responsive decision. This can be achieved by implementing the concept of Digital Twin that models the entire process as a virtual model and enables bidirectional control with the physical process. This paper presented types of data and technology required to build the Digital Twin for the injection molding industry. The concept includes Digital Twin of each stage and integration of these Digital Twin model as a thoroughgoing model of the injection molding industry.

The multiaxial fatigue response of cylindrical geometry under proportional loading subject to fluctuating tractions

NASA Astrophysics Data System (ADS)

Martinez, Rudy D.

A multiaxial fatigue model is proposed, as it would apply to cylindrical geometry in the form of industrial sized pressure vessels. The main focus of the multiaxial fatigue model will be based on using energy methods with the loading states confined to fluctuating tractions under proportional loading. The proposed fatigue model is an effort to support and enhance existing fatigue life predicting methods for pressure vessel design, beyond the ASME Boiler and Pressure Vessel codes, ASME Section VIII Division 2 and 3, which is currently used in industrial engineering practice for pressure vessel design. Both uniaxial and biaxial low alloy pearlittic-ferritic steel cylindrical cyclic test data are utilized to substantiate the proposed fatigue model. Approximate material hardening and softening aspects from applied load cycling states and the Bauschinger effect are accounted for by adjusting strain control generated hysteresis loops and the cyclic stress strain curve. The proposed fatigue energy model and the current ASME fatigue model are then compared with regards to the accuracy of predicting fatigue life cycle consistencies.

Intergovernmental Panel on Climate Change (IPCC)\\, Working Group 1, 1994: Modelling Results Relating Future Atmospheric CO2 Concentrations to Industrial Emissions (DB1009)

DOE Data Explorer

Enting, I. G.; Wigley, M. L.; Heimann, M.

1995-01-01

This database contains the results of various projections of the relation between future CO2 concentrations and future industrial emissions. These projections were contributed by groups from a number of countries as part of the scientific assessment for the report, "Radiative Forcing of Climate Change" (1994), issued by Working Group 1 of the Intergovernmental Panel on Climate Change. There were three types of calculations: (1) forward projections, calculating the atmospheric CO2 concentrations resulting from specified emissions scenarios; (2) inverse calculations, determining the emission rates that would be required to achieve stabilization of CO2 concentrations via specified pathways; (3) impulse response function calculations, required for determining Global Warming Potentials. The projections were extrapolations of global carbon cycle models from pre-industrial times (starting at 1765) to 2100 or 2200 A.D. There were two aspects to the exercise: (1) an assessment of the uncertainty due to uncertainties regarding the current carbon budget, and (2) an assessment of the uncertainties arising from differences between models. To separate these effects, a set of standard conditions was used to explore inter-model differences and then a series of sensitivity studies was used to explore the consequences of current uncertainties in the carbon cycle.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Weimar, Mark R.; Daly, Don S.; Wood, Thomas W.

Both nuclear power and nuclear weapons programs should have (related) economic signatures which are detectible at some scale. We evaluated this premise in a series of studies using national economic input/output (IO) data. Statistical discrimination models using economic IO tables predict with a high probability whether a country with an unknown predilection for nuclear weapons proliferation is in fact engaged in nuclear power development or nuclear weapons proliferation. We analyzed 93 IO tables, spanning the years 1993 to 2005 for 37 countries that are either members or associates of the Organization for Economic Cooperation and Development (OECD). The 2009 OECDmore » input/output tables featured 48 industrial sectors based on International Standard Industrial Classification (ISIC) Revision 3, and described the respective economies in current country-of-origin valued currency. We converted and transformed these reported values to US 2005 dollars using appropriate exchange rates and implicit price deflators, and addressed discrepancies in reported industrial sectors across tables. We then classified countries with Random Forest using either the adjusted or industry-normalized values. Random Forest, a classification tree technique, separates and categorizes countries using a very small, select subset of the 2304 individual cells in the IO table. A nation’s efforts in nuclear power, be it for electricity or nuclear weapons, are an enterprise with a large economic footprint -- an effort so large that it should discernibly perturb coarse country-level economics data such as that found in yearly input-output economic tables. The neoclassical economic input-output model describes a country’s or region’s economy in terms of the requirements of industries to produce the current level of economic output. An IO table row shows the distribution of an industry’s output to the industrial sectors while a table column shows the input required of each industrial sector by a given industry.« less

Presentation of a Novel Model for Evaluation of Commercialization of Research and Development: Case Study of the Pharmaceutical Biotechnology Industry

PubMed Central

Emami, Hassan; Radfar, Reza

2017-01-01

The current situation in Iran suggests an appropriate basis for developing biotechnology industries, because the patents for the majority of hi-tech medicines registered in developed countries are ending. Biosimilar and technology-oriented companies which do not have patents will have the opportunity to enter the biosimilar market and move toward innovative initiatives. The present research proposed a model by which one can evaluate commercialization of achievements obtained from research with a focus on the pharmaceutical biotechnology industry. This is a descriptive-analytic study where mixed methodology is followed by a heuristic approach. The statistical population was pharmaceutical biotechnology experts at universities and research centers in Iran. Structural equations were employed in this research. The results indicate that there are three effective layers within commercialization in the proposed model. These are a general layer (factors associated with management, human capital, legal infrastructure, communication infrastructure, a technical and executive infrastructures, and financial factors), industrial layer (internal industrial factors and pharmaceutical industry factors), and a third layer that included national and international aspects. These layers comprise 6 domains, 21 indices, 41 dimensions, and 126 components. Compilation of these layers (general layer, industrial layer, and national and international aspects) can serve commercialization of research and development as an effective evaluation package. PMID:29201110

Presentation of a Novel Model for Evaluation of Commercialization of Research and Development: Case Study of the Pharmaceutical Biotechnology Industry.

PubMed

Emami, Hassan; Radfar, Reza

2017-01-01

The current situation in Iran suggests an appropriate basis for developing biotechnology industries, because the patents for the majority of hi-tech medicines registered in developed countries are ending. Biosimilar and technology-oriented companies which do not have patents will have the opportunity to enter the biosimilar market and move toward innovative initiatives. The present research proposed a model by which one can evaluate commercialization of achievements obtained from research with a focus on the pharmaceutical biotechnology industry. This is a descriptive-analytic study where mixed methodology is followed by a heuristic approach. The statistical population was pharmaceutical biotechnology experts at universities and research centers in Iran. Structural equations were employed in this research. The results indicate that there are three effective layers within commercialization in the proposed model. These are a general layer (factors associated with management, human capital, legal infrastructure, communication infrastructure, a technical and executive infrastructures, and financial factors), industrial layer (internal industrial factors and pharmaceutical industry factors), and a third layer that included national and international aspects. These layers comprise 6 domains, 21 indices, 41 dimensions, and 126 components. Compilation of these layers (general layer, industrial layer, and national and international aspects) can serve commercialization of research and development as an effective evaluation package.

Application of scl - pbl method to increase quality learning of industrial statistics course in department of industrial engineering pancasila university

NASA Astrophysics Data System (ADS)

Darmawan, M.; Hidayah, N. Y.

2017-12-01

Currently, there has been a change of new paradigm in the learning model in college, ie from Teacher Centered Learning (TCL) model to Student Centered Learing (SCL). It is generally assumed that the SCL model is better than the TCL model. The Courses of 2nd Industrial Statistics in the Department Industrial Engineering Pancasila University is the subject that belongs to the Basic Engineering group. So far, the applied learning model refers more to the TCL model, and field facts show that the learning outcomes are less satisfactory. Of the three consecutive semesters, ie even semester 2013/2014, 2014/2015, and 2015/2016 obtained grade average is equal to 56.0; 61.1, and 60.5. In the even semester of 2016/2017, Classroom Action Research (CAR) is conducted for this course through the implementation of SCL model with Problem Based Learning (PBL) methods. The hypothesis proposed is that the SCL-PBL model will be able to improve the final grade of the course. The results shows that the average grade of the course can be increased to 73.27. This value was then tested using the ANOVA and the test results concluded that the average grade was significantly different from the average grade value in the previous three semesters.

A University-Industry Cooperation Model for Small and Medium Enterprises: The Case of Chengdu KEDA Optoelectronic Technology Ltd.

ERIC Educational Resources Information Center

Peng, Shanzhong; Ferreira, Fernando A. F.; Zheng, He

2017-01-01

In this study, we develop a firm-dominated incremental cooperation model. Following the critical review of current literature and various cooperation models, we identified a number of strengths and shortcomings that form the basis for our framework. The objective of our theoretical model is to contribute to overcome the existing gap within…

An efficient agro-industrial complex in Almería (Spain): Towards an integrated and sustainable bioeconomy model.

PubMed

Egea, Francisco J; Torrente, Roberto G; Aguilar, Alfredo

2018-01-25

In the last ten years, bioeconomy strategies and policy-related bioeconomy initiatives have been developed all over the world. Some of them are currently in the process of translation into specific actions. In most cases, the approaches followed have been top-down policy-related initiatives, triggered by the public sector originating a dynamic which can bring together different bioeconomy stakeholders i.e. industry, academia, financial operators and farmers. This article describes a bottom-up situation with unique bioeconomy-related features that deserve specific attention. Over the last 40 years, Almería, in the south east of Spain, has developed one of the most efficient agro-industrial complexes in the world, evolving from a traditional and subsistence agriculture, to becoming the major vegetable exporter in the European Union (EU). This growth set aside issues such as sustainability, long-term perspectives on water resources or agricultural waste. However, societal concerns about a circular economy, as well as policy initiatives in the EU and in Spain on bioeconomy are changing the situation towards an integrated, efficient and sustainable bioeconomy system. Currently, the production chain demands innovations related to the use of biomass as source of bioproducts and bioenergy in order to remain competitive. Some positive aspects are the relatively small size of the agro-industrial area, making transport and communications rapid and easy, and the existence of strong and dedicated academic and financial institutions. This article outlines the current efforts and initiatives to couple the existing successful agro-industrial complex with that of a fully sustainable bioeconomy model. Copyright © 2017 Elsevier B.V. All rights reserved.

Longitudinal changes in prevalence of respiratory symptoms among Canadian grain elevator workers.

PubMed

Pahwa, Punam; McDuffie, Helen H; Dosman, James A

2006-06-01

To determine longitudinal changes in the prevalence of chronic respiratory symptoms among Canadian grain workers. Data on respiratory symptoms, smoking status, and pulmonary function were obtained approximately every 3 years (termed cycle) over 15 years beginning in 1978 from five regions of Canada. The number of grain workers participating in each cycle were as follows: cycle 1 (n = 5,702); cycle 2 (n = 5,491); cycle 3 (n = 3,713); cycle 4 (n = 2,847); and cycle 5 (n = 3,079). A procedure based on generalized estimating equations (PROC GENMOD; SAS Institute; Cary, NC) was used to fit marginal models to determine risk factors influencing the prevalence of chronic respiratory symptoms (wheeze, dyspnea, sputum, and cough). The prevalence (predicted probability based on the final model) of chronic respiratory symptoms had an increasing trend with increasing number of years in the grain industry from cycle 1 to cycle 3 (before dust control) for all three smoking categories (current smokers, ex-smokers, and nonsmokers). For cycle 4 and cycle 5 (after dust control), there was a reduction in the prevalence of these respiratory symptoms. For example, in cycle 1, the prevalence of chronic wheeze among current smoking grain workers increased from 12% (for those in the industry for < 5 years) to 44% (for those in the industry for > 35 years); in cycle 5, the prevalence of chronic wheeze among current smoking grain workers increased from 9% (for those in the industry for < 5 years) to 28% (for those in the industry for > 35 years). Similar trends were observed for ex-smokers and nonsmokers and for other chronic respiratory symptoms. Our results indicate that grain dust control was effective in reducing the prevalence of chronic respiratory symptoms among grain workers in all smoking and exposure categories.

Economics of technological change - A joint model for the aircraft and airline industries

NASA Technical Reports Server (NTRS)

Kneafsey, J. T.; Taneja, N. K.

1981-01-01

The principal focus of this econometric model is on the process of technological change in the U.S. aircraft manufacturing and airline industries. The problem of predicting the rate of introduction of current technology aircraft into an airline's fleet during the period of research, development, and construction for new technology aircraft arises in planning aeronautical research investments. The approach in this model is a statistical one. It attempts to identify major factors that influence transport aircraft manufacturers and airlines, and to correlate them with the patterns of delivery of new aircraft to the domestic trunk carriers. The functional form of the model has been derived from several earlier econometric models on the economics of innovation, acquisition, and technological change.

Modelling dynamics of atmosphere ventilation and industrial city’s air pollution analysis: New approach

NASA Astrophysics Data System (ADS)

Glushkov, A. V.; Khetselius, O. Yu; Agayar, E. V.; Buyadzhi, V. V.; Romanova, A. V.; Mansarliysky, V. F.

2017-10-01

We present a new effective approach to analysis and modelling the natural air ventilation in an atmosphere of the industrial city, which is based on the Arakawa-Schubert and Glushkov models, modified to calculate the current involvement of the ensemble of clouds, and advanced mathematical methods of modelling an unsteady turbulence in the urban area. For the first time the methods of a plane complex field and spectral expansion algorithms are applied to calculate the air circulation for the cloud layer arrays, penetrating into the territory of the industrial city. We have also taken into account for the mechanisms of transformation of the cloud system advection over the territory of the urban area. The results of test computing the air ventilation characteristics are presented for the Odessa city. All above cited methods and models together with the standard monitoring and management systems can be considered as a basis for comprehensive “Green City” construction technology.

A survey on IVIVC/IVIVR development in the pharmaceutical industry - Past experience and current perspectives.

PubMed

Nguyen, M A; Flanagan, T; Brewster, M; Kesisoglou, F; Beato, S; Biewenga, J; Crison, J; Holm, R; Li, R; Mannaert, E; McAllister, M; Mueller-Zsigmondy, M; Muenster, U; Ojala, K; Page, S; Parr, A; Rossenu, S; Timmins, P; Van Peer, A; Vermeulen, A; Langguth, P

2017-05-01

The present work aimed to describe the current status of IVIVC/IVIVR development in the pharmaceutical industry, focusing on the use and perception of specific approaches as well as successful and failed case studies. Two questionnaires have been distributed to 13 EFPIA partners of the Oral Biopharmaceutics Tools Initiative and to the Pharmacokinetics Working Party of the European Medicines Agency in order to capture the perspectives and experiences of industry scientists and agency members, respectively. Responses from ten companies and three European Agencies were received between May 21st 2014 and January 19th 2016. The majority of the companies acknowledged the importance of IVIVC/IVIVR throughout the drug development stages and a well-balanced rate of return on investment. However, the IVIVC/IVIVR approach seemed to be underutilized in regulatory submissions. Four of the ten companies stated to have an internal guidance related to IVIVC/IVIVR modelling, whereas three felt that an overall strategy is not necessary. Successful models mainly served to support formulation development and to provide a better mechanistic understanding. There was not yet much experience with safe-space IVIVRs as well as the use of physiologically based modelling in the field of IVIVC. At the same time, the responses from both industry and agencies indicated that there might be a need for a regulatory framework to guide the application of these novel approaches. The relevance of IVIVC/IVIVR for oral IR drug products was recognized by most of the companies. For IR formulations, relationships other than Level A correlation were more common outcomes among the provided case studies, such as multiple Level C correlation or safe-space IVIVR, which could be successfully used for requesting regulatory flexibility. Compared to the responses from industry scientists, there was a trend towards a higher appreciation of the BCS among the regulators, but a less positive attitude towards the utility of non-compendial dissolution methods for establishing a successful IVIVC/IVIVR. The lack of appropriate in vivo data and regulatory uncertainty were considered the major difficulties in IVIVC/IVIVR development. The results of this survey provide unique insights into current IVIVC/IVIVR practices in the pharmaceutical industry. Pursuing an IVIVC/IVIVR should be generally encouraged, considering its high value from both industry and regulators' perspective. Copyright © 2017 Elsevier B.V. All rights reserved.

75 FR 41894 - Wapakoneta Machine Company, Currently Known as EF Industrial Technologies, Inc., Wapakoneta, OH...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-07-19

... Company, Currently Known as EF Industrial Technologies, Inc., Wapakoneta, OH; Amended Certification... of early 2010, Wapakoneta Machine Company is currently known as EF Industrial Technologies, Inc. Some... Wapakoneta Machine Company, currently known as EF Industrial Technologies, Inc., Wapakoneta, Ohio became...

Recent Advances in Simulation of Eddy Current Testing of Tubes and Experimental Validations

DOE Office of Scientific and Technical Information (OSTI.GOV)

Reboud, C.; Premel, D.; Lesselier, D.

2007-03-21

Eddy current testing (ECT) is widely used in iron and steel industry for the inspection of tubes during manufacturing. A collaboration between CEA and the Vallourec Research Center led to the development of new numerical functionalities dedicated to the simulation of ECT of non-magnetic tubes by external probes. The achievement of experimental validations led us to the integration of these models into the CIVA platform. Modeling approach and validation results are discussed here. A new numerical scheme is also proposed in order to improve the accuracy of the model.

Recent Advances in Simulation of Eddy Current Testing of Tubes and Experimental Validations

NASA Astrophysics Data System (ADS)

Reboud, C.; Prémel, D.; Lesselier, D.; Bisiaux, B.

2007-03-01

Eddy current testing (ECT) is widely used in iron and steel industry for the inspection of tubes during manufacturing. A collaboration between CEA and the Vallourec Research Center led to the development of new numerical functionalities dedicated to the simulation of ECT of non-magnetic tubes by external probes. The achievement of experimental validations led us to the integration of these models into the CIVA platform. Modeling approach and validation results are discussed here. A new numerical scheme is also proposed in order to improve the accuracy of the model.

Integrating Building Information Modeling and Green Building Certification: The BIM-LEED Application Model Development

ERIC Educational Resources Information Center

Wu, Wei

2010-01-01

Building information modeling (BIM) and green building are currently two major trends in the architecture, engineering and construction (AEC) industry. This research recognizes the market demand for better solutions to achieve green building certification such as LEED in the United States. It proposes a new strategy based on the integration of BIM…

Advanced Electricity. Microprocessors and Robotics. Curriculum Development. Bulletin 1803.

ERIC Educational Resources Information Center

Southeastern Louisiana Univ., Hammond.

This model instructional unit was developed to aid industrial arts/technology education teachers in Louisiana to teach a course on microprocessors and robotics in grades 11 and 12. It provides guidance on model performance objectives, current technology content, sources, and supplemental materials. Following a course description, rationale, and…

An overview of the 2009 Fort Hood Robotics Rodeo

NASA Astrophysics Data System (ADS)

Norberg, Seth

2010-04-01

The Robotics Rodeo held from 31 August to 3 September 2009 at Fort Hood, Texas, had three stated goals: educate key decision makers and align the robotics industry; educate Soldiers and developers; and perform a live market survey of the current state of technologies to encourage the development of robotic systems to support operational needs. Both events that comprised the Robotics Rodeo, the Extravaganza and the robotic technology observation, demonstration and discussion (RTOD2) addressed these stated goals. The Extravaganza was designed to foster interaction between the vendors and the visitors who included the media, Soldiers, others in the robotics industry and key decision makers. The RTOD2 allowed the vendors a more private and focused interaction with the subject matter experts teams, this was the forum for the vendors to demonstrate their robotic systems that supported the III Corps operational needs statements that are focused on route clearance, convoy operations, persistent stare, and robotic wingman. While the goals of the Rodeo were achieved, the underlying success from the event is the development of a new business model that is focused on collapsing the current model to get technologies into the hands of our warfighters quicker. This new model takes the real time data collection from the Rodeo, the Warfighter Needs from TRADOC, the emerging requirements from our current engagements, and assistance from industry partners to develop a future Army strategy for the rapid fielding of unmanned systems technologies.

A house divided: cooperative and competitive recruitment in vital industries.

PubMed

Willis, William K; Muslin, Ivan; Timko, Karlyn N

2016-03-01

To propose a theoretical based model approach to address the nursing shortage problem of recruiting qualified applicants. Vital industries such as nursing and trucking face a large labour shortage. A literature review focusing on recruitment and realistic job previews examines relevant theories and an indication of the focus of similar research. Game theory illustrates cooperative and competitive recruitment strategies in vital industries. Proposition and model development where cooperative or competitive strategies for recruitment can either increase or decrease the employee applicant pool. Institutional theory states that firms within a population become isomorphic in nature. Firms employing cooperative or competitive strategies for recruitment can change organisational practices through isomorphic processes. Industries facing a labour market shortage using cooperative strategy will use realistic job previews accurately to disseminate information about industry jobs. Realistic job previews will increase the applicant pool through individuals self-selecting into, rather than out of, the applicant pool. Recruitment in the nursing industry has been examined at the individual applicant and organisational level, yet the overall industry has been ignored. As nursing shortages continue, viewing recruitment at the macro level (the overall industry) is appropriate. Game theory as proposed provides opportunities for current research at the industry level. © 2015 John Wiley & Sons Ltd.

Management status of end-of-life vehicles and development strategies of used automotive electronic control components recycling industry in China.

PubMed

Wang, Junjun; Chen, Ming

2012-11-01

Recycling companies play a leading role in the system of end-of-life vehicles (ELVs) in China. Automotive manufacturers in China are rarely involved in recycling ELVs, and they seldom provide dismantling information for recycling companies. In addition, no professional shredding plant is available. The used automotive electronic control components recycling industry in China has yet to take shape because of the lack of supporting technology and profitable models. Given the rapid growth of the vehicle population and electronic control units in automotives in China, the used automotive electronic control components recycling industry requires immediate development. This paper analyses the current recycling system of ELVs in China and introduces the automotive product recycling technology roadmap as well as the recycling industry development goals. The strengths, weaknesses, opportunities and challenges of the current used automotive electronic control components recycling industry in China are analysed comprehensively based on the 'strengths, weaknesses, opportunities and threats' (SWOT) method. The results of the analysis indicate that this recycling industry responds well to all the factors and has good opportunities for development. Based on the analysis, new development strategies for the used automotive electronic control components recycling industry in accordance with the actual conditions of China are presented.

Reducing systems biology to practice in pharmaceutical company research; selected case studies.

PubMed

Benson, N; Cucurull-Sanchez, L; Demin, O; Smirnov, S; van der Graaf, P

2012-01-01

Reviews of the productivity of the pharmaceutical industry have concluded that the current business model is unsustainable. Various remedies for this have been proposed, however, arguably these do not directly address the fundamental issue; namely, that it is the knowledge required to enable good decisions in the process of delivering a drug that is largely absent; in turn, this leads to a disconnect between our intuition of what the right drug target is and the reality of pharmacological intervention in a system such as a human disease state. As this system is highly complex, modelling will be required to elucidate emergent properties together with the data necessary to construct such models. Currently, however, both the models and data available are limited. The ultimate solution to the problem of pharmaceutical productivity may be the virtual human, however, it is likely to be many years, if at all, before this goal is realised. The current challenge is, therefore, whether systems modelling can contribute to improving productivity in the pharmaceutical industry in the interim and help to guide the optimal route to the virtual human. In this context, this chapter discusses the emergence of systems pharmacology in drug discovery from the interface of pharmacokinetic-pharmacodynamic modelling and systems biology. Examples of applications to the identification of optimal drug targets in given pathways, selecting drug modalities and defining biomarkers are discussed, together with future directions.

Additive Manufacturing Technology for Biomedical Components: A review

NASA Astrophysics Data System (ADS)

Aimi Zaharin, Haizum; Rani, Ahmad Majdi Abdul; Lenggo Ginta, Turnad; Azam, Farooq I.

2018-03-01

Over the last decades, additive manufacturing has shown potential application in ranging fields. No longer a prototyping technology, it is now being utilised as a manufacturing technology for giant industries such as the automotive, aircraft and recently in the medical industry. It is a very successful method that provides health-care solution in biomedical sectors by producing patient-specific prosthetics, improve tissues engineering and facilitate pre-operating session. This paper thus presents a brief overview of the most commercially important additive manufacturing technologies, which is currently available for fabricating biomedical components such as Stereolithography (SLA), Selective Laser Sintering (SLS), Selective Laser Melting (SLM), Fused Deposition Modelling (FDM) and Electron Beam Melting (EBM). It introduces the basic principles of the main process, highlights some of the beneficial applications in medical industry and the current limitation of applied technology.

Does the high–tech industry consistently reduce CO{sub 2} emissions? Results from nonparametric additive regression model

DOE Office of Scientific and Technical Information (OSTI.GOV)

Xu, Bin; Research Center of Applied Statistics, Jiangxi University of Finance and Economics, Nanchang, Jiangxi 330013; Lin, Boqiang, E-mail: bqlin@xmu.edu.cn

China is currently the world's largest carbon dioxide (CO{sub 2}) emitter. Moreover, total energy consumption and CO{sub 2} emissions in China will continue to increase due to the rapid growth of industrialization and urbanization. Therefore, vigorously developing the high–tech industry becomes an inevitable choice to reduce CO{sub 2} emissions at the moment or in the future. However, ignoring the existing nonlinear links between economic variables, most scholars use traditional linear models to explore the impact of the high–tech industry on CO{sub 2} emissions from an aggregate perspective. Few studies have focused on nonlinear relationships and regional differences in China. Basedmore » on panel data of 1998–2014, this study uses the nonparametric additive regression model to explore the nonlinear effect of the high–tech industry from a regional perspective. The estimated results show that the residual sum of squares (SSR) of the nonparametric additive regression model in the eastern, central and western regions are 0.693, 0.054 and 0.085 respectively, which are much less those that of the traditional linear regression model (3.158, 4.227 and 7.196). This verifies that the nonparametric additive regression model has a better fitting effect. Specifically, the high–tech industry produces an inverted “U–shaped” nonlinear impact on CO{sub 2} emissions in the eastern region, but a positive “U–shaped” nonlinear effect in the central and western regions. Therefore, the nonlinear impact of the high–tech industry on CO{sub 2} emissions in the three regions should be given adequate attention in developing effective abatement policies. - Highlights: • The nonlinear effect of the high–tech industry on CO{sub 2} emissions was investigated. • The high–tech industry yields an inverted “U–shaped” effect in the eastern region. • The high–tech industry has a positive “U–shaped” nonlinear effect in other regions. • The linear impact of the high–tech industry in the eastern region is the strongest.« less

Energy Conservation Projects to Benefit the Railroad Industry

DOE Office of Scientific and Technical Information (OSTI.GOV)

Clifford Mirman; Promod Vohra

The Energy Conservation Projects to benefit the railroad industry using the Norfolk Southern Company as a model for the railroad industry has five unique tasks which are in areas of importance within the rail industry, and specifically in the area of energy conservation. The NIU Engineering and Technology research team looked at five significant areas in which research and development work can provide unique solutions to the railroad industry in energy the conservation. (1) Alternate Fuels - An examination of various blends of bio-based diesel fuels for the railroad industry, using Norfolk Southern as a model for the industry. Themore » team determined that bio-diesel fuel is a suitable alternative to using straight diesel fuel, however, the cost and availability across the country varies to a great extent. (2) Utilization of fuel cells for locomotive power systems - While the application of the fuel cell has been successfully demonstrated in the passenger car, this is a very advanced topic for the railroad industry. There are many safety and power issues that the research team examined. (3) Thermal and emission reduction for current large scale diesel engines - The current locomotive system generates large amount of heat through engine cooling and heat dissipation when the traction motors are used to decelerate the train. The research team evaluated thermal management systems to efficiently deal with large thermal loads developed by the operating engines. (4) Use of Composite and Exotic Replacement Materials - Research team redesigned various components using new materials, coatings, and processes to provide the needed protection. Through design, analysis, and testing, new parts that can withstand the hostile environments were developed. (5) Tribology Applications - Identification of tribology issues in the Railroad industry which play a significant role in the improvement of energy usage. Research team analyzed and developed solutions which resulted in friction modification to improve energy efficiency.« less

Monitoring autocorrelated process: A geometric Brownian motion process approach

NASA Astrophysics Data System (ADS)

Li, Lee Siaw; Djauhari, Maman A.

2013-09-01

Autocorrelated process control is common in today's modern industrial process control practice. The current practice of autocorrelated process control is to eliminate the autocorrelation by using an appropriate model such as Box-Jenkins models or other models and then to conduct process control operation based on the residuals. In this paper we show that many time series are governed by a geometric Brownian motion (GBM) process. Therefore, in this case, by using the properties of a GBM process, we only need an appropriate transformation and model the transformed data to come up with the condition needs in traditional process control. An industrial example of cocoa powder production process in a Malaysian company will be presented and discussed to illustrate the advantages of the GBM approach.

Modelling the current and potential future distributions of the sunn pest Eurygaster integriceps (Hemiptera: Scutelleridae) using CLIMEX.

PubMed

Aljaryian, Rasha; Kumar, Lalit; Taylor, Subhashni

2016-10-01

The sunn pest, Eurygaster integriceps (Hemiptera: Scutelleridae), is an economically significant pest throughout Western Asia and Eastern Europe. This study was conducted to examine the possible risk posed by the influence of climate change on its spread. CLIMEX software was used to model its current global distribution. Future invasion potential was investigated using two global climate models (GCMs), CSIRO-Mk3.0 (CS) and MIROC-H (MR), under A1B and A2 emission scenarios for 2030, 2070 and 2100. Dry to temperate climatic areas favour sunn pests. The potential global range for E. integriceps is expected to extend further polewards between latitudes 60° N and 70° N. Northern Europe and Canada will be at risk of sunn pest invasion as cold stress boundaries recede under the emission scenarios of these models. However, current highly suitable areas, such as South Africa and central Australia, will contract where precipitation is projected to decrease substantially with increased heat stress. Estimating the sunn pest's potential geographic distribution and detecting its climatic limits can provide useful information for management strategies and allow biosecurity authorities to plan ahead and reduce the expected harmful economic consequences by identifying the new areas for pest invasion. © 2016 Society of Chemical Industry. © 2016 Society of Chemical Industry.

Low cost solar silicon production

NASA Astrophysics Data System (ADS)

Mede, Matt

2009-08-01

The worldwide demand for solar grade silicon reached an all time high between 2007 and 2008. Although growth in the solar industry is slowing due to the current economic downturn, demand is expected to rebound in 2011 based on current cost models. However, demand will increase even more than currently anticipated if costs are reduced. This situation creates an opportunity for new and innovative approaches to the production of photovoltaic grade silicon, especially methods which can demonstrate cost reductions over currently utilized processes.

Kinetic models in industrial biotechnology - Improving cell factory performance.

PubMed

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

2014-07-01

An increasing number of industrial bioprocesses capitalize on living cells by using them as cell factories that convert sugars into chemicals. These processes range from the production of bulk chemicals in yeasts and bacteria to the synthesis of therapeutic proteins in mammalian cell lines. One of the tools in the continuous search for improved performance of such production systems is the development and application of mathematical models. To be of value for industrial biotechnology, mathematical models should be able to assist in the rational design of cell factory properties or in the production processes in which they are utilized. Kinetic models are particularly suitable towards this end because they are capable of representing the complex biochemistry of cells in a more complete way compared to most other types of models. They can, at least in principle, be used to in detail understand, predict, and evaluate the effects of adding, removing, or modifying molecular components of a cell factory and for supporting the design of the bioreactor or fermentation process. However, several challenges still remain before kinetic modeling will reach the degree of maturity required for routine application in industry. Here we review the current status of kinetic cell factory modeling. Emphasis is on modeling methodology concepts, including model network structure, kinetic rate expressions, parameter estimation, optimization methods, identifiability analysis, model reduction, and model validation, but several applications of kinetic models for the improvement of cell factories are also discussed. Copyright © 2014 The Authors. Published by Elsevier Inc. All rights reserved.

Study on Web-Based Tool for Regional Agriculture Industry Structure Optimization Using Ajax

NASA Astrophysics Data System (ADS)

Huang, Xiaodong; Zhu, Yeping

According to the research status of regional agriculture industry structure adjustment information system and the current development of information technology, this paper takes web-based regional agriculture industry structure optimization tool as research target. This paper introduces Ajax technology and related application frameworks to build an auxiliary toolkit of decision support system for agricultural policy maker and economy researcher. The toolkit includes a “one page” style component of regional agriculture industry structure optimization which provides agile arguments setting method that enables applying sensitivity analysis and usage of data and comparative advantage analysis result, and a component that can solve the linear programming model and its dual problem by simplex method.

Biomass Resource Allocation among Competing End Uses

DOE Office of Scientific and Technical Information (OSTI.GOV)

Newes, E.; Bush, B.; Inman, D.

The Biomass Scenario Model (BSM) is a system dynamics model developed by the U.S. Department of Energy as a tool to better understand the interaction of complex policies and their potential effects on the biofuels industry in the United States. However, it does not currently have the capability to account for allocation of biomass resources among the various end uses, which limits its utilization in analysis of policies that target biomass uses outside the biofuels industry. This report provides a more holistic understanding of the dynamics surrounding the allocation of biomass among uses that include traditional use, wood pellet exports,more » bio-based products and bioproducts, biopower, and biofuels by (1) highlighting the methods used in existing models' treatments of competition for biomass resources; (2) identifying coverage and gaps in industry data regarding the competing end uses; and (3) exploring options for developing models of biomass allocation that could be integrated with the BSM to actively exchange and incorporate relevant information.« less

Integrating Efficiency of Industry Processes and Practices Alongside Technology Effectiveness in Space Transportation Cost Modeling and Analysis

NASA Technical Reports Server (NTRS)

Zapata, Edgar

2012-01-01

This paper presents past and current work in dealing with indirect industry and NASA costs when providing cost estimation or analysis for NASA projects and programs. Indirect costs, when defined as those costs in a project removed from the actual hardware or software hands-on labor; makes up most of the costs of today's complex large scale NASA space/industry projects. This appears to be the case across phases from research into development into production and into the operation of the system. Space transportation is the case of interest here. Modeling and cost estimation as a process rather than a product will be emphasized. Analysis as a series of belief systems in play among decision makers and decision factors will also be emphasized to provide context.

Instructional Strategies to Promote Student Strategic Thinking When Using SolidWorks

ERIC Educational Resources Information Center

Toto, Roxanne; Colledge, Thomas; Frederick, David; Pung, Wik Hung

2014-01-01

Reflective of current trends in industry, engineering design professionals are expected to have knowledge of 3D modeling software. Responding to this need, engineering curricula seek to effectively prepare students for the workforce by requiring instruction in the use of 3D parametric solid modeling. Recent literature contains many examples that…

Staying the Course: A Model Leadership Preparation Program that Goes the Distance

ERIC Educational Resources Information Center

Griffin, Leslie L.; Taylor, Thomas R.; Varner, Lynn W.; White, Carole L.

2012-01-01

The Educational Leadership Master's Cohort Program at Delta State University was redesigned in 2011 to reflect current industry standards and streamline the program. Since its inception in the mid-1990s, the program has provided a nationally acclaimed model for principal preparation. The recent redesign focused on preparing school principals to…

Human Behavior Based Exploratory Model for Successful Implementation of Lean Enterprise in Industry

ERIC Educational Resources Information Center

Sawhney, Rupy; Chason, Stewart

2005-01-01

Currently available Lean tools such as Lean Assessments, Value Stream Mapping, and Process Flow Charting focus on system requirements and overlook human behavior. A need is felt for a tool that allows one to baseline personnel, determine personnel requirements and align system requirements with personnel requirements. Our exploratory model--The…

Investigation and Development of Control Laws for the NASA Langley Research Center Cockpit Motion Facility

NASA Technical Reports Server (NTRS)

Coon, Craig R.; Cardullo, Frank M.; Zaychik, Kirill B.

2014-01-01

The ability to develop highly advanced simulators is a critical need that has the ability to significantly impact the aerospace industry. The aerospace industry is advancing at an ever increasing pace and flight simulators must match this development with ever increasing urgency. In order to address both current problems and potential advancements with flight simulator techniques, several aspects of current control law technology of the National Aeronautics and Space Administration (NASA) Langley Research Center's Cockpit Motion Facility (CMF) motion base simulator were examined. Preliminary investigation of linear models based upon hardware data were examined to ensure that the most accurate models are used. This research identified both system improvements in the bandwidth and more reliable linear models. Advancements in the compensator design were developed and verified through multiple techniques. The position error rate feedback, the acceleration feedback and the force feedback were all analyzed in the heave direction using the nonlinear model of the hardware. Improvements were made using the position error rate feedback technique. The acceleration feedback compensator also provided noteworthy improvement, while attempts at implementing a force feedback compensator proved unsuccessful.

Impact of synthetic biology and metabolic engineering on industrial production of fine chemicals.

PubMed

Jullesson, David; David, Florian; Pfleger, Brian; Nielsen, Jens

2015-11-15

Industrial bio-processes for fine chemical production are increasingly relying on cell factories developed through metabolic engineering and synthetic biology. The use of high throughput techniques and automation for the design of cell factories, and especially platform strains, has played an important role in the transition from laboratory research to industrial production. Model organisms such as Saccharomyces cerevisiae and Escherichia coli remain widely used host strains for industrial production due to their robust and desirable traits. This review describes some of the bio-based fine chemicals that have reached the market, key metabolic engineering tools that have allowed this to happen and some of the companies that are currently utilizing these technologies for developing industrial production processes. Copyright © 2015 Elsevier Inc. All rights reserved.

An efficient current-based logic cell model for crosstalk delay analysis

NASA Astrophysics Data System (ADS)

Nazarian, Shahin; Das, Debasish

2013-04-01

Logic cell modelling is an important component in the analysis and design of CMOS integrated circuits, mostly due to nonlinear behaviour of CMOS cells with respect to the voltage signal at their input and output pins. A current-based model for CMOS logic cells is presented, which can be used for effective crosstalk noise and delta delay analysis in CMOS VLSI circuits. Existing current source models are expensive and need a new set of Spice-based characterisation, which is not compatible with typical EDA tools. In this article we present Imodel, a simple nonlinear logic cell model that can be derived from the typical cell libraries such as NLDM, with accuracy much higher than NLDM-based cell delay models. In fact, our experiments show an average error of 3% compared to Spice. This level of accuracy comes with a maximum runtime penalty of 19% compared to NLDM-based cell delay models on medium-sized industrial designs.

Future Scenario Development from Disruptive Exploration Technologies and Business Models in the U.S. Geothermal Industry

DOE Office of Scientific and Technical Information (OSTI.GOV)

Wall, Anna

With recent trends toward intermittent renewable energy sources in the U.S., the geothermal industry in its current form faces a crossroad: adapt, disrupt, or be left behind. Strategic planning with scenario analysis offers a framework to characterize plausible views of the future given current trends - as well as disruptions to the status quo. To inform strategic planning in the Department of Energy's (DOE) Geothermal Technology Office (GTO), the Geothermal Vision Study is tasked with offering data-driven pathways for future geothermal development. Scenario analysis is a commonly used tool in private industry corporate strategic planning as a way to prioritizemore » and manage large investments in light of uncertainty and risk. Since much of the uncertainty and risk in a geothermal project is believed to occur within early stage exploration and drilling, this paper focuses on the levers (technical and financial) within the exploration process that can be pulled to affect change. Given these potential changes, this work first qualitatively explores potential shifts to the geothermal industry. Future work within the Geothermal Vision Study will incorporate these qualitative scenarios quantitatively, in competition with other renewable and conventional energy industries.« less

Discovery of innovative therapeutics: today's realities and tomorrow's vision. 1. Criticisms faced by the pharmaceutical industry.

PubMed

Abou-Gharbia, Magid; Childers, Wayne E

2013-07-25

The pharmaceutical industry is facing enormous challenges, including reduced efficiency, declining innovation, key patent expirations, fierce price competition from generics, high regulatory hurdles, and a tarnished image. There is a clear need for change in the paradigms designed to address these challenges. Pharma has responded by embarking on a range of initiatives. However, along the way the industry has accrued critics whose accusations have tainted its reputation. The first part of this two-part series will discuss the criticisms that have been leveled at the pharmaceutical industry and summarize the supporting data for and against these criticisms. The second installment will focus on the current challenges facing the pharmaceutical industry and Pharma's responses to address these challenges. It will describe the industry's changing perspective and new business models for coping with the recent loss of talent and declining clinical pipelines as well as present some examples of recent drug discovery successes.

Counting Jobs and Economic Impacts from Distributed Wind in the United States (Poster)

DOE Office of Scientific and Technical Information (OSTI.GOV)

Tegen, S.

This conference poster describes the distributed wind Jobs and Economic Development Imapcts (JEDI) model. The goal of this work is to provide a model that estimates jobs and other economic effects associated with the domestic distributed wind industry. The distributed wind JEDI model is a free input-output model that estimates employment and other impacts resulting from an investment in distributed wind installations. Default inputs are from installers and industry experts and are based on existing projects. User input can be minimal (use defaults) or very detailed for more precise results. JEDI can help evaluate potential scenarios, current or future; informmore » stakeholders and decision-makers; assist businesses in evaluating economic development impacts and estimating jobs; assist government organizations with planning and evaluating and developing communities.« less

Self-consistent radiation-based simulation of electric arcs: II. Application to gas circuit breakers

NASA Astrophysics Data System (ADS)

Iordanidis, A. A.; Franck, C. M.

2008-07-01

An accurate and robust method for radiative heat transfer simulation for arc applications was presented in the previous paper (part I). In this paper a self-consistent mathematical model based on computational fluid dynamics and a rigorous radiative heat transfer model is described. The model is applied to simulate switching arcs in high voltage gas circuit breakers. The accuracy of the model is proven by comparison with experimental data for all arc modes. The ablation-controlled arc model is used to simulate high current PTFE arcs burning in cylindrical tubes. Model accuracy for the lower current arcs is evaluated using experimental data on the axially blown SF6 arc in steady state and arc resistance measurements close to current zero. The complete switching process with the arc going through all three phases is also simulated and compared with the experimental data from an industrial circuit breaker switching test.

Testing the Digital Thread in Support of Model-Based Manufacturing and Inspection

PubMed Central

Hedberg, Thomas; Lubell, Joshua; Fischer, Lyle; Maggiano, Larry; Feeney, Allison Barnard

2016-01-01

A number of manufacturing companies have reported anecdotal evidence describing the benefits of Model-Based Enterprise (MBE). Based on this evidence, major players in industry have embraced a vision to deploy MBE. In our view, the best chance of realizing this vision is the creation of a single “digital thread.” Under MBE, there exists a Model-Based Definition (MBD), created by the Engineering function, that downstream functions reuse to complete Model-Based Manufacturing and Model-Based Inspection activities. The ensemble of data that enables the combination of model-based definition, manufacturing, and inspection defines this digital thread. Such a digital thread would enable real-time design and analysis, collaborative process-flow development, automated artifact creation, and full-process traceability in a seamless real-time collaborative development among project participants. This paper documents the strengths and weaknesses in the current, industry strategies for implementing MBE. It also identifies gaps in the transition and/or exchange of data between various manufacturing processes. Lastly, this paper presents measured results from a study of model-based processes compared to drawing-based processes and provides evidence to support the anecdotal evidence and vision made by industry. PMID:27325911

OPM: The Open Porous Media Initiative

NASA Astrophysics Data System (ADS)

Flemisch, B.; Flornes, K. M.; Lie, K.; Rasmussen, A.

2011-12-01

The principal objective of the Open Porous Media (OPM) initiative is to develop a simulation suite that is capable of modeling industrially and scientifically relevant flow and transport processes in porous media and bridge the gap between the different application areas of porous media modeling, including reservoir mechanics, CO2 sequestration, biological systems, and product development of engineered media. The OPM initiative will provide a long-lasting, efficient, and well-maintained open-source software for flow and transport in porous media built on modern software principles. The suite is released under the GNU General Public License (GPL). Our motivation is to provide a means to unite industry and public research on simulation of flow and transport in porous media. For academic users, we seek to provide a software infrastructure that facilitates testing of new ideas on models with industry-standard complexity, while at the same time giving the researcher control over discretization and solvers. Similarly, we aim to accelerate the technology transfer from academic institutions to professional companies by making new research results available as free software of professional standard. The OPM initiative is currently supported by six research groups in Norway and Germany and funded by existing grants from public research agencies as well as from Statoil Petroleum and Total E&P Norge. However, a full-scale development of the OPM initiative requires substantially more funding and involvement of more research groups and potential end users. In this talk, we will provide an overview of the current activities in the OPM initiative. Special emphasis will be given to the demonstration of the synergies achieved by combining the strengths of individual open-source software components. In particular, a new fully implicit solver developed within the DUNE-based simulator DuMux could be enhanced by the ability to read industry-standard Eclipse input files and to run on grids given in corner-point format. Examples taken from the SPE comparative solution projects and CO2 sequestration benchmarks illustrate the current capabilities of the simulation suite.

A framework to analyze emissions implications of manufacturing shifts in the industrial sector through integrating bottom-up energy models and economic input-output environmental life cycle assessment models

EPA Science Inventory

Future year emissions depend highly on the evolution of the economy, technology and current and future regulatory drivers. A scenario framework was adopted to analyze various technology development pathways and societal change while considering existing regulations and future unc...

A World Order Perspective on Authoritarian Tendencies. World Order Models Project. Working Paper Number Ten.

ERIC Educational Resources Information Center

Falk, Richard A.

This paper discusses five main patterns of authoritarian government rule that are currently prominent in international society. The first pattern is "Brazilianization" which has evolved as a model for rightist, capitalist elites in the more industrialized countries of the Third World (e.g. Iran, Indonesia, and Argentina). A common feature of these…

Software Engineering Technology Infusion Within NASA

NASA Technical Reports Server (NTRS)

Zelkowitz, Marvin V.

1996-01-01

Abstract technology transfer is of crucial concern to both government and industry today. In this paper, several software engineering technologies used within NASA are studied, and the mechanisms, schedules, and efforts at transferring these technologies are investigated. The goals of this study are: 1) to understand the difference between technology transfer (the adoption of a new method by large segments of an industry) as an industry-wide phenomenon and the adoption of a new technology by an individual organization (called technology infusion); and 2) to see if software engineering technology transfer differs from other engineering disciplines. While there is great interest today in developing technology transfer models for industry, it is the technology infusion process that actually causes changes in the current state of the practice.

Investigation of the prominent barriers to lean manufacturing implementation in Malaysian food and beverages industry using Rasch Model

NASA Astrophysics Data System (ADS)

Khusaini, N. S.; Ismail, A.; Rashid, A. A.

2016-02-01

This paper presents a preliminary study on the prominent barriers to lean manufacturing implementation in Malaysian Food and Beverages Industry. A survey was carried out to determine the most prominent barriers of lean manufacturing implementation that are currently being faced in this industry. The amount of barriers identified for this study is twenty seven. Out of 1309 available organizations, a total of 300 organizations have been randomly selected as respondents, and 53 organizations responded. From the variable map, the analysis shows that, the negative perception towards lean manufacturing top the list as the most agreeable barrier, while the technical barriers came after it. It can also be seen from the variable map that averagely, lack of vision and direction is the barrier that is being faced. Finally, this is perhaps the first attempt in investigating the prominent barriers to Lean Manufacturing implementation in Malaysian food and beverages industry using Rasch Model.

Expert Meeting Report: Energy Savings You Can Bank On

DOE Office of Scientific and Technical Information (OSTI.GOV)

Beman, M.; Springer, J.; Smith, P.

In October 2011, ARBI organized and conducted an Experts' Meeting on the topic of performance guarantees and financing vehicles for Energy Efficiency Upgrades. The meeting brought together technical, policy, and financial experts, including researchers, experienced installation contractors, and innovative energy business leaders, in order to discuss the opportunities and challenges for the energy efficiency upgrade industry to increase market uptake of Home Energy Upgrades (HEUs) through innovative offerings, such as performance guarantees. The meeting had several primary goals. First, it sought to understand how other industries have developed successful models for financing renewable energy installations while providing performance guarantees. Thismore » has been most recently demonstrated by the solar leasing industry. Second, the meeting explored the applicability of such business models to the energy efficiency upgrade industry. Third, the meeting sought to identify technical impediments to performance guarantees for energy efficiency retrofits. Fourth, the meeting sought to provide a common framework for these goals within the context of current financing mechanisms for energy efficiency upgrades.« less

Managing occupational risk in creative practice: a new perspective for occupational health and safety.

PubMed

Oughton, Nicholas

2013-01-01

There has been little recognition of the fact that creative production operates in a somewhat different environment and timeframe to that associated with traditional industries. This has resulted in the application of an orthodox, generic or ``one size fits all'' framework of Occupational Health and Safety (OHS) systems across all industries. With the rapid growth of ``creative industry,'' certain challenges arise from the application of this "generic" strategy, mainly because the systems currently employed may not be entirely suitable for creative practice. Some OHS practitioners suggest that the current OHS paradigm is failing. This paper questions the appropriateness of applying a twentieth century OHS model in the present industrial context, and considers what framework will best provide for the well-being of creative workers and their enterprise in the twenty-first century. The paper questions the notion of "Risk" and the paradox associated with "Risk Management," particularly in the context of the creative process. Clearly, risk taking contributes to creative enterprise and effective risk management should accommodate both risk minimization and risk exploitation.

Extreme Conditions Modeling Workshop Report

DOE Office of Scientific and Technical Information (OSTI.GOV)

Coe, Ryan Geoffrey; Neary, Vincent Sinclair; Lawon, Michael J.

2014-07-01

Sandia National Laboratories (SNL) and the National Renewable Energy Laboratory (NREL) hosted the Wave Energy Converter (WEC) Extreme Conditions Modeling (ECM) Workshop in Albuquerque, New Mexico on May 13–14, 2014. The objective of the workshop was to review the current state of knowledge on how to numerically and experimentally model WECs in extreme conditions (e.g. large ocean storms) and to suggest how national laboratory resources could be used to improve ECM methods for the benefit of the wave energy industry. More than 30 U.S. and European WEC experts from industry, academia, and national research institutes attended the workshop, which consistedmore » of presentations from W EC developers, invited keynote presentations from subject matter experts, breakout sessions, and a final plenary session .« less

Effective pollutant emission heights for atmospheric transport modelling based on real-world information.

PubMed

Pregger, Thomas; Friedrich, Rainer

2009-02-01

Emission data needed as input for the operation of atmospheric models should not only be spatially and temporally resolved. Another important feature is the effective emission height which significantly influences modelled concentration values. Unfortunately this information, which is especially relevant for large point sources, is usually not available and simple assumptions are often used in atmospheric models. As a contribution to improve knowledge on emission heights this paper provides typical default values for the driving parameters stack height and flue gas temperature, velocity and flow rate for different industrial sources. The results were derived from an analysis of the probably most comprehensive database of real-world stack information existing in Europe based on German industrial data. A bottom-up calculation of effective emission heights applying equations used for Gaussian dispersion models shows significant differences depending on source and air pollutant and compared to approaches currently used for atmospheric transport modelling.

From maturity to value-added innovation: lessons from the pharmaceutical and agro-biotechnology industries.

PubMed

Mittra, James; Tait, Joyce; Wield, David

2011-03-01

The pharmaceutical and agro-biotechnology industries have been confronted by dwindling product pipelines and rapid developments in life sciences, thus demanding a strategic rethink of conventional research and development. Despite offering both industries a solution to the pipeline problem, the life sciences have also brought complex regulatory challenges for firms. In this paper, we comment on the response of these industries to the life science trajectory, in the context of maturing conventional small-molecule product pipelines and routes to market. The challenges of managing transition from maturity to new high-value-added innovation models are addressed. Furthermore, we argue that regulation plays a crucial role in shaping the innovation systems of both industries, and as such, we suggest potentially useful changes to the current regulatory system. Copyright © 2010 Elsevier Ltd. All rights reserved.

Overview of NASA MSFC and UAH Space Weather Modeling and Data Efforts

NASA Technical Reports Server (NTRS)

Parker, Linda Neergaard

2016-01-01

Marshall Space Flight Center, along with its industry and academia neighbors, has a long history of space environment model development and testing. Space weather efforts include research, testing, model development, environment definition, anomaly investigation, and operational support. This presentation will highlight a few of the current space weather activities being performed at Marshall and through collaborative efforts with University of Alabama in Huntsville scientists.

Design of a National Skills Market Model for Air Force Enlisted Personnel

DTIC Science & Technology

1979-09-01

specific occupations, rather than merely by industrial sector, labor market behavior could be more clearly related to specific Air Force specialties. The ...distinguishable but related purposes. First, it is desired as an adjunct to the Integrated Simulation Evaluation Model (ISEM) currently being...corn- puter simulation model of the Air Force Manpower and Personnel System (AFM&PS) that integrates the behavioral relationships deter- mining the

Depression and Behavioral Problems Among Adolescent Girls and Young Women Employees of the Textile Industry in India.

PubMed

Gnanaselvam, Nancy Angeline; Joseph, Bobby

2018-01-01

Stress and depression are common in textile industry employees due to inadequate working conditions and challenging socioeconomic conditions. The objective of the study was to assess depression and mental health among adolescent and young females currently employed in a textile factory located in Tamil Nadu compared with past employees and women who have never been employed. This cross-sectional study included a total of 107 participants in each study group who were interviewed. The Patient Health Questionnaire-9 and Strengths and Difficulties Questionnaire were administered to screen participants for depression and mental health. More current employees (16.82%) and past employees (15.88%) suffered from depression severe enough to require treatment compared with never employed girls and young women (2.8%). Of the study participants, 59.8% of current employees, 63.6% of past employees, and 32.7% of never employed women had mental health or behavior problems. In the regression model, history of abuse was significantly associated with depression. Participants who were current employees and reported family debt and a history of abuse were significantly more likely to have mental health or behavior problems. Mental health issues such as depression and behavior problems were more likely among adolescent girls currently employed in textile industries. Further studies into the causes of this phenomenon are needed.

Applications of computational fluid dynamics (CFD) in the modelling and design of ventilation systems in the agricultural industry: a review.

PubMed

Norton, Tomás; Sun, Da-Wen; Grant, Jim; Fallon, Richard; Dodd, Vincent

2007-09-01

The application of computational fluid dynamics (CFD) in the agricultural industry is becoming ever more important. Over the years, the versatility, accuracy and user-friendliness offered by CFD has led to its increased take-up by the agricultural engineering community. Now CFD is regularly employed to solve environmental problems of greenhouses and animal production facilities. However, due to a combination of increased computer efficacy and advanced numerical techniques, the realism of these simulations has only been enhanced in recent years. This study provides a state-of-the-art review of CFD, its current applications in the design of ventilation systems for agricultural production systems, and the outstanding challenging issues that confront CFD modellers. The current status of greenhouse CFD modelling was found to be at a higher standard than that of animal housing, owing to the incorporation of user-defined routines that simulate crop biological responses as a function of local environmental conditions. Nevertheless, the most recent animal housing simulations have addressed this issue and in turn have become more physically realistic.

Developing the Next Generation NATO Reference Mobility Model

DTIC Science & Technology

2016-06-27

acquisition • design UNCLASSIFIED: Distribution Statement A. Approved for public release; distribution is unlimited.(#27992) Vehicle Dynamics Model...and numerical resolution – for use in vehicle design , acquisition and operational mobility planning 27 June 2016 An open architecture was established...the current empirical methods for simulating vehicle and suspension designs . – Industry wide shortfall with tire dynamics and soft soil behavior

Effects of Globalisation on Higher Engineering Education in Germany--Current and Future Demands

ERIC Educational Resources Information Center

Morace, Christophe; May, Dominik; Terkowsky, Claudius; Reynet, Olivier

2017-01-01

Germany is well known around the world for the strength of its economy, its industry and for the "German model" for higher engineering education based on developing technological skills at a very high level. In this article, we firstly describe the former and present model of engineering education in Germany in a context of the…

Cultivating Innovative and Entrepreneurial Talent in the Higher Vocational Automotive Major with the "On-Board Educational Factory" Model

ERIC Educational Resources Information Center

Wu, Zhuang-Wen; Zhu, Liang-Rong

2017-01-01

In this paper, we investigate the steps necessary to initiate reform in professional education. First, we analyze the advantages and disadvantages of the unified theory and practice model of education currently adopted in mainland China. Next, we suggest a talent cultivation strategy that prioritizes students and views industrial (factory)…

Nanostructured sensors for biomedical applications--a current perspective.

PubMed

Krishnamoorthy, Sivashankar

2015-08-01

Nanostructured sensors have unique capabilities that can be tailored to advantage in advancing the diagnosis, monitoring and cure of several diseases and health conditions. This report aims at providing a current perspective on, (a) the emerging clinical needs that defines the challenges to be addressed by nanostructured sensors, with specific emphasis on early stage diagnosis, drug-diagnostic combinations, and predictive models to design therapy, (b) the emerging industry trends in in vitro diagnostics, mobile health care, high-throughput molecular and cell-based diagnostic platforms, and (c) recent instances of nanostructured biosensors, including promising sensing concepts that can be enhanced using nanostructures that carry high promise towards catering to the emerging clinical needs, as well as the market/industry trends. Copyright © 2014 Elsevier Ltd. All rights reserved.

University - industry collaborations: models, drivers and cultures.

PubMed

Ehrismann, Dominic; Patel, Dhavalkumar

2015-01-01

The way academic institutions and pharmaceutical companies have been approaching collaborations has changed significantly in recent years. A multitude of interaction models were tested and critical factors that drive successful collaborations have been proposed. Based on this experience the current consensus in the pharmaceutical industry is to pursue one of two strategies: an open innovation approach to source discoveries wherever they occur, or investing selectively into scientific partnerships that churn out inventions that can be translated from bench to bedside internally. While these strategies may be intuitive, to form and build sustainable relationships between academia and large multinational healthcare enterprises is proving challenging. In this article we explore some of the more testing aspects of these collaborations, approaches that various industrial players have taken and provide our own views on the matter. We found that understanding and respecting each other's organisational culture and combining the intellectual and technological assets to answer big scientific questions accelerates and improves the quality of every collaboration. Upon discussing the prevailing cooperation models in the university - industry domain, we assert that science-driven collaborations where risks and rewards are shared equally without a commercial agenda in mind are the most impactful.

Technological substitution: the potential of plastic as primary packaging material in the US brewing industry

DOE Office of Scientific and Technical Information (OSTI.GOV)

Roeleveld, J.J.

1985-01-01

This dissertation develops a general model of technological substitution that could be of help to planners and decision makers in industry who are faced with the problems created by continual technological change. The model as presented differs from existing models in the theoretical literature because of its emphasis on analyzing current and potential technologies in an attempt to understand the underlying factors contributing to technological substitution. The general model and the cost model that is part of it belong to that step in the interactive planning cycle called the formulation of the mess. The methodology underlying the cost model ismore » a combination of life-cycle analysis (i.e., from raw materials in nature, through all intermediate products, to waste returned to the environment) and resoumetrics, which is an engineering approach to measuring all physical inputs required to produce a certain level of output. The models are illustrated with a specific field of interest: substitution of primary packaging technologies in the US brewing industry. The physical costs of packaging beer in different containers are compared. Strategic considerations for a brewery deciding to adopt plastic packaging technology are discussed. Attention is given to another potential fruitful application of the model in the field of technology transfer to developing countries.« less

Assessing Hydrologic Impacts of Land Configuration Changes Using an Integrated Hydrologic Model at the Rocky Flats Environmental Technology Site, Colorado

NASA Astrophysics Data System (ADS)

Prucha, R. H.; Dayton, C. S.; Hawley, C. M.

2002-12-01

The Rocky Flats Environmental Technology Site (RFETS) in Golden, Colorado, a former Department of Energy nuclear weapons manufacturing facility, is currently undergoing closure. The natural semi-arid interaction between surface and subsurface flow at RFETS is complex and complicated by the industrial modifications to the flow system. Using a substantial site data set, a distributed parameter, fully-integrated hydrologic model was developed to assess the hydrologic impact of different hypothetical site closure configurations on the current flow system and to better understand the integrated hydrologic behavior of the system. An integrated model with this level of detail has not been previously developed in a semi-arid area, and a unique, but comprehensive, approach was required to calibrate and validate the model. Several hypothetical scenarios were developed to simulate hydrologic effects of modifying different aspects of the site. For example, some of the simulated modifications included regrading the current land surface, changing the existing surface channel network, removing subsurface trenches and gravity drain flow systems, installing a slurry wall and geotechnical cover, changing the current vegetative cover, and converting existing buildings and pavement to permeable soil areas. The integrated flow model was developed using a rigorous physically-based code so that realistic design parameters can simulate these changes. This code also permitted evaluation of changes to complex integrated hydrologic system responses that included channelized and overland flow, pond levels, unsaturated zone storage, groundwater heads and flow directions, and integrated water balances for key areas. Results generally show that channel flow offsite decreases substantially for different scenarios, while groundwater heads generally increase within the reconfigured industrial area most of which is then discharged as evapotranspiration. These changes have significant implications to site closure and operation.

Work related musculoskeletal disorders among adolescent girls and young women employees of textile industries in Tamil Nadu, India - a comparative study.

PubMed

Angeline, Gnanaselvam Nancy; Bobby, Joseph

2017-05-24

Musculoskeletal disorders are common in those employed in the textile industry. The aim of the study is to assess musculoskeletal disorders among adolescent girls who are current employees of textile industries in comparison with the adolescent girls and young women who are past employees of textile industries and adolescent girls who have never been employed in the textile industry. Methodology This is a cross-sectional study. A total of 321 subjects, 107 in each study group were sampled. Standardized nordic questionnaires (SNQ) was used to assess musculoskeletal symptoms. Results More than half of the current employees (67.28%) and past employees (67.28%) reported musculoskeletal pain. Among the never been employed, 18.69% reported musculoskeletal pain. Neck and shoulder were the most common sites of musculoskeletal pain among the current employees (49.5% and 50.5%, respectively) and the past employees (45.8% and 49.5%, respectively). In the regression model, having ever been diagnosed for anemia (AOR 6.57, 95% CI 1.4 to 30.76), working for more than 48 h in a week (AOR 3.37, 95% CI 1.53 to 7.41) and the presence of depression (AOR 6.6, 95% CI 1.48 to 29.36) were significantly associated with the presence of musculoskeletal pain in the study participants. Conclusion Musculoskeletal disorders are a major occupational health problem among the adolescent and young women employees of textile industries. Working hours should be fixed at 48 h per week and anemia and depression should be treated to avert the work related musculoskeletal disorders in the study population.

Research on layout and construction performance of cultural and creative industry parks in Xihu District of Hangzhou

NASA Astrophysics Data System (ADS)

Wang, Juan; Zhou, Jun

2018-05-01

Combing the current situation of cultural and creative industry parks in Xihu District of Hangzhou, analyzing the supporting elements of its layout, cultural and creative industry Pars in Xihu District have the characteristics of obvious group block distribution and the dominant function of each park is obviously influenced by the supporting elements. This paper selected four municipal cultural and creative industry parks for the investigation of their operating conditions. It is found out that the park construction performance of different construction foundation, positioning, development model is quite afferent. Therefore, it suggests that the creative industry park should be integrated with urban life, commerce, business and other functions. The park with weak ecological foundation should optimize the image of the park by means of urban renewal, and the policy should be inclined to retain talents and so on.

A comparative study of fluorescent and LED lighting in industrial facilities

NASA Astrophysics Data System (ADS)

Perdahci PhD, C.; Akin BSc, H. C.; Cekic Msc, O.

2018-05-01

Industrial facilities have always been in search for reducing outgoings and minimizing energy consumption. Rapid developments in lighting technology require more energy efficient solutions not only for industries but also for many sectors and for households. Addition of solid-state technology has brought LED lamps into play and with LED lamp usage, efficacy level has reached its current values. Lighting systems which uses fluorescent and LED lamps have become the prior choice for many industrial facilities. This paper presents a comparative study about fluorescent and LED based indoor lighting systems for a warehouse building in an industrial facility in terms of lighting distribution values, colour rendering, power consumption, energy efficiency and visual comfort. Both scenarios have been modelled and simulated by using Relux and photometric data for the luminaires have been gathered by conducting tests and measurements in an accredited laboratory.

Advanced process control framework initiative

NASA Astrophysics Data System (ADS)

Hill, Tom; Nettles, Steve

1997-01-01

The semiconductor industry, one the world's most fiercely competitive industries, is driven by increasingly complex process technologies and global competition to improve cycle time, quality, and process flexibility. Due to the complexity of these problems, current process control techniques are generally nonautomated, time-consuming, reactive, nonadaptive, and focused on individual fabrication tools and processes. As the semiconductor industry moves into higher density processes, radical new approaches are required. To address the need for advanced factory-level process control in this environment, Honeywell, Advanced Micro Devices (AMD), and SEMATECH formed the Advanced Process Control Framework Initiative (APCFI) joint research project. The project defines and demonstrates an Advanced Process Control (APC) approach based on SEMATECH's Computer Integrated Manufacturing (CIM) Framework. Its scope includes the coordination of Manufacturing Execution Systems, process control tools, and wafer fabrication equipment to provide necessary process control capabilities. Moreover, it takes advantage of the CIM Framework to integrate and coordinate applications from other suppliers that provide services necessary for the overall system to function. This presentation discusses the key concept of model-based process control that differentiates the APC Framework. This major improvement over current methods enables new systematic process control by linking the knowledge of key process settings to desired product characteristics that reside in models created with commercial model development tools The unique framework-based approach facilitates integration of commercial tools and reuse of their data by tying them together in an object-based structure. The presentation also explores the perspective of each organization's involvement in the APCFI project. Each has complementary goals and expertise to contribute; Honeywell represents the supplier viewpoint, AMD represents the user with 'real customer requirements', and SEMATECH provides a consensus-building organization that widely disseminates technology to suppliers and users in the semiconductor industry that face similar equipment and factory control systems challenges.

The study of the developing model of the rural timeshare tourism

NASA Astrophysics Data System (ADS)

Xu, Zhe; Tang, Beibei

2011-10-01

At present, the booming rural tourism, as a new tourism developing approach of the formation of the penetration and integration of the primary and tertiary industry, the agriculture and tourism, has played an increasingly important role in solving the "three rural" issue, speeding up the development of the new rural socialist, therefore the rural tourism products have got more concerning, gradually move closer from the sub-products of the tourism to the main product of the domestic tourism market. So the rural tourism innovating management and service model, upgrading the industry, meeting the fashion, feature, personalization and information needs of current people's rural leisure tourism, have very great theoretical significance and application values.

Assessment of the disposal of radioactive petroleum industry waste in nonhazardous landfills using risk-based modeling.

PubMed

Smith, Karen P; Arnish, John J; Williams, Gustavious P; Blunt, Deborah L

2003-05-15

Certain petroleum production activities cause naturally occurring radioactive materials (NORM) to accumulate in concentrations above natural background levels, making safe and cost-effective management of such technologically enhanced NORM (TENORM) a key issue for the petroleum industry. As a result, both industry and regulators are interested in identifying cost-effective disposal alternatives that provide adequate protection of human health and the environment One such alternative, currently allowed in Michigan with restrictions, is the disposal of TENORM wastes in nonhazardous waste landfills. The disposal of petroleum industry wastes containing radium-226 (Ra-226) in nonhazardous landfills was modeled to evaluate the potential radiological doses and health risks to workers and the public. Multiple scenarios were considered in evaluating the potential risks associated with landfill operations and the future use of the property. The scenarios were defined, in part, to evaluate the Michigan policy; sensitivity analyses were conducted to evaluate the impact of key parameters on potential risks. The results indicate that the disposal of petroleum industry TENORM wastes in nonhazardous landfills in accordance with the Michigan policy and existing landfill regulations presents a negligible risk to most of the potential receptors considered in this study.

A novel model for through-silicon via (TSV) filling process simulation considering three additives and current density effect

NASA Astrophysics Data System (ADS)

Wang, Fuliang; Zhao, Zhipeng; Wang, Feng; Wang, Yan; Nie, Nantian

2017-12-01

Through-silicon via (TSV) filling by electrochemical deposition is still a challenge for 3D IC packaging, and three-component additive systems (accelerator, suppressor, and leveler) were commonly used in the industry to achieve void-free filling. However, models considering three additive systems and the current density effect have not been fully studied. In this paper, a novel three-component model was developed to study the TSV filling mechanism and process, where the interaction behavior of the three additives (accelerator, suppressor, and leveler) were considered, and the adsorption, desorption, and consumption coefficient of the three additives were changed with the current density. Based on this new model, the three filling types (seam void, ‘V’ shape, and key hole) were simulated under different current density conditions, and the filling results were verified by experiments. The effect of the current density on the copper ion concentration, additives surface coverage, and local current density distribution during the TSV filling process were obtained. Based on the simulation and experimental results, the diffusion-adsorption-desorption-consumption competition behavior between the suppressor, the accelerator, and the leveler were discussed. The filling mechanisms under different current densities were also analyzed.

Estimation of Lightning Levels on a Launcher Using a BEM-Compressed Model

NASA Astrophysics Data System (ADS)

Silly, J.; Chaigne, B.; Aspas-Puertolas, J.; Herlem, Y.

2016-05-01

As development cycles in the space industry are being considerably reduced, it seems mandatory to deploy in parallel fast analysis methods for engineering purposes, but without sacrificing accuracy. In this paper we present the application of such methods to early Phase A-B [1] evaluation of lightning constraints on a launch vehicle.A complete 3D parametric model of a launcher has been thus developed and simulated with a Boundary Element Method (BEM)-frequency simulator (equipped with a low frequency algorithm). The time domain values of the observed currents and fields are obtained by post-treatment using an inverse discrete Fourier transform (IDFT).This model is used for lightning studies, especially the simulation are useful to analyse the influence of lightning injected currents on resulting circulated currents on external cable raceways. The description of the model and some of those results are presented in this article.

75 FR 14564 - Dairy Industry Advisory Committee; Public Meeting

Federal Register 2010, 2011, 2012, 2013, 2014

2010-03-26

... DEPARTMENT OF AGRICULTURE Farm Service Agency Dairy Industry Advisory Committee; Public Meeting... established Dairy Industry Advisory Committee (Dairy Committee) to review the current state of the dairy industry, discuss current dairy programs of the U.S. Department of Agriculture (USDA) and Federal dairy...

Nitrogen dynamics in flooded soil systems: an overview on concepts and performance of models.

PubMed

Nurulhuda, Khairudin; Gaydon, Donald S; Jing, Qi; Zakaria, Mohamad P; Struik, Paul C; Keesman, Karel J

2018-02-01

Extensive modelling studies on nitrogen (N) dynamics in flooded soil systems have been published. Consequently, many N dynamics models are available for users to select from. With the current research trend, inclined towards multidisciplinary research, and with substantial progress in understanding of N dynamics in flooded soil systems, the objective of this paper is to provide an overview of the modelling concepts and performance of 14 models developed to simulate N dynamics in flooded soil systems. This overview provides breadth of knowledge on the models, and, therefore, is valuable as a first step in the selection of an appropriate model for a specific application. © 2017 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry. © 2017 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Harmonic reduction by using single-tuned passive filter in plastic processing industry

NASA Astrophysics Data System (ADS)

Fahmi, M. I.; Baafai, U.; Hazmi, A.; Nasution, T. H.

2018-02-01

The using of non-linear loads generated by industrial machines may result inconsistent harmonics that do not reach the IEEE 519 - 1992 standards. This study discusses the use of single-tuned passive filters in reducing harmonics in the plastics processing industry. The system modeling using matlab / simulink simulation resulted in total harmonic distortion (THD) of 15.55%, can be reduced to 4.77% harmonics in accordance with IEEE 519 - 1992 standards. From the simulation results also seen that single-tuned passive filter can reduce the harmonics of the current 82.23% harmonic that wants to be reduced and also can reduce other orders harmonics between 7% to 8%.

The development of an industrial-scale fed-batch fermentation simulation.

PubMed

Goldrick, Stephen; Ştefan, Andrei; Lovett, David; Montague, Gary; Lennox, Barry

2015-01-10

This paper describes a simulation of an industrial-scale fed-batch fermentation that can be used as a benchmark in process systems analysis and control studies. The simulation was developed using a mechanistic model and validated using historical data collected from an industrial-scale penicillin fermentation process. Each batch was carried out in a 100,000 L bioreactor that used an industrial strain of Penicillium chrysogenum. The manipulated variables recorded during each batch were used as inputs to the simulator and the predicted outputs were then compared with the on-line and off-line measurements recorded in the real process. The simulator adapted a previously published structured model to describe the penicillin fermentation and extended it to include the main environmental effects of dissolved oxygen, viscosity, temperature, pH and dissolved carbon dioxide. In addition the effects of nitrogen and phenylacetic acid concentrations on the biomass and penicillin production rates were also included. The simulated model predictions of all the on-line and off-line process measurements, including the off-gas analysis, were in good agreement with the batch records. The simulator and industrial process data are available to download at www.industrialpenicillinsimulation.com and can be used to evaluate, study and improve on the current control strategy implemented on this facility. Crown Copyright © 2014. Published by Elsevier B.V. All rights reserved.

The Aircraft Industry

DTIC Science & Technology

2005-01-01

market segment. Manufacturers are putting considerable effort into creating new models and upgrading current products for the high-end corporate...market share. Both competitors have new products entering the market with the Airbus A380 due around 2006, and the Boeing 787 scheduled for service in...commonality on all systems and technologies. First production models are expected to be delivered in 2008. Initial operating capability (IOC) for the U.S

Pallet use in grocery distribution affects forest resource consumption location: a spatial model of grocery pallet use

Treesearch

R. Bruce Anderson; R. Bruce Anderson

1991-01-01

To assess the impact of grocery pallet production on future hardwood resources, better information is needed on the current use of reusable pallets by the grocery and related products industry. A spatial model of pallet use in the grocery distribution system that identifies the locational aspects of grocery pallet production and distribution, determines how these...

Current situation and industrialization of Taiwan nanotechnology

NASA Astrophysics Data System (ADS)

Su, Hsin-Ning; Lee, Pei-Chun; Tsai, Min-Hua; Chien, Kuo-Ming

2007-12-01

Nanotechnology is projected to be a very promising field, and the impact of nanotechnology on society is increasingly significant as the research funding and manufactured goods increase exponentially. A clearer picture of Taiwan's current and future nanotechnology industry is an essential component for future planning. Therefore, this investigation studies the progress of industrializing nanotechnology in Taiwan by surveying 150 companies. Along with understanding Taiwan's current nanotechnology industrialization, this paper also suggests ways to promote Taiwan's nanotechnology. The survey results are summarized and serve as the basis for planning a nanotechnology industrialization strategy.

Cost evaluation of cellulase enzyme for industrial-scale cellulosic ethanol production based on rigorous Aspen Plus modeling.

PubMed

Liu, Gang; Zhang, Jian; Bao, Jie

2016-01-01

Cost reduction on cellulase enzyme usage has been the central effort in the commercialization of fuel ethanol production from lignocellulose biomass. Therefore, establishing an accurate evaluation method on cellulase enzyme cost is crucially important to support the health development of the future biorefinery industry. Currently, the cellulase cost evaluation methods were complicated and various controversial or even conflict results were presented. To give a reliable evaluation on this important topic, a rigorous analysis based on the Aspen Plus flowsheet simulation in the commercial scale ethanol plant was proposed in this study. The minimum ethanol selling price (MESP) was used as the indicator to show the impacts of varying enzyme supply modes, enzyme prices, process parameters, as well as enzyme loading on the enzyme cost. The results reveal that the enzyme cost drives the cellulosic ethanol price below the minimum profit point when the enzyme is purchased from the current industrial enzyme market. An innovative production of cellulase enzyme such as on-site enzyme production should be explored and tested in the industrial scale to yield an economically sound enzyme supply for the future cellulosic ethanol production.

Design of starch coated seed cotton dryers

USDA-ARS?s Scientific Manuscript database

A model was developed for the design and analysis of a high temperature tunnel dryer, primarily used with a new cotton ginning product, EASIflo ® cottonseed (starch-coated cottonseed). This form of cottonseed has emerged as a viable, value-added product for the cotton ginning industry. Currently, li...

A Cognitive Model for Problem Solving in Computer Science

ERIC Educational Resources Information Center

Parham, Jennifer R.

2009-01-01

According to industry representatives, computer science education needs to emphasize the processes involved in solving computing problems rather than their solutions. Most of the current assessment tools used by universities and computer science departments analyze student answers to problems rather than investigating the processes involved in…

Efficient Deployment of Key Nodes for Optimal Coverage of Industrial Mobile Wireless Networks

PubMed Central

Li, Xiaomin; Li, Di; Dong, Zhijie; Hu, Yage; Liu, Chengliang

2018-01-01

In recent years, industrial wireless networks (IWNs) have been transformed by the introduction of mobile nodes, and they now offer increased extensibility, mobility, and flexibility. Nevertheless, mobile nodes pose efficiency and reliability challenges. Efficient node deployment and management of channel interference directly affect network system performance, particularly for key node placement in clustered wireless networks. This study analyzes this system model, considering both industrial properties of wireless networks and their mobility. Then, static and mobile node coverage problems are unified and simplified to target coverage problems. We propose a novel strategy for the deployment of clustered heads in grouped industrial mobile wireless networks (IMWNs) based on the improved maximal clique model and the iterative computation of new candidate cluster head positions. The maximal cliques are obtained via a double-layer Tabu search. Each cluster head updates its new position via an improved virtual force while moving with full coverage to find the minimal inter-cluster interference. Finally, we develop a simulation environment. The simulation results, based on a performance comparison, show the efficacy of the proposed strategies and their superiority over current approaches. PMID:29439439

Cross-validation of an employee safety climate model in Malaysia.

PubMed

Bahari, Siti Fatimah; Clarke, Sharon

2013-06-01

Whilst substantial research has investigated the nature of safety climate, and its importance as a leading indicator of organisational safety, much of this research has been conducted with Western industrial samples. The current study focuses on the cross-validation of a safety climate model in the non-Western industrial context of Malaysian manufacturing. The first-order factorial validity of Cheyne et al.'s (1998) [Cheyne, A., Cox, S., Oliver, A., Tomas, J.M., 1998. Modelling safety climate in the prediction of levels of safety activity. Work and Stress, 12(3), 255-271] model was tested, using confirmatory factor analysis, in a Malaysian sample. Results showed that the model fit indices were below accepted levels, indicating that the original Cheyne et al. (1998) safety climate model was not supported. An alternative three-factor model was developed using exploratory factor analysis. Although these findings are not consistent with previously reported cross-validation studies, we argue that previous studies have focused on validation across Western samples, and that the current study demonstrates the need to take account of cultural factors in the development of safety climate models intended for use in non-Western contexts. The results have important implications for the transferability of existing safety climate models across cultures (for example, in global organisations) and highlight the need for future research to examine cross-cultural issues in relation to safety climate. Copyright © 2013 National Safety Council and Elsevier Ltd. All rights reserved.

A Computational approach in optimizing process parameters of GTAW for SA 106 Grade B steel pipes using Response surface methodology

NASA Astrophysics Data System (ADS)

Sumesh, A.; Sai Ramnadh, L. V.; Manish, P.; Harnath, V.; Lakshman, V.

2016-09-01

Welding is one of the most common metal joining techniques used in industry for decades. As in the global manufacturing scenario the products should be more cost effective. Therefore the selection of right process with optimal parameters will help the industry in minimizing their cost of production. SA 106 Grade B steel has a wide application in Automobile chassis structure, Boiler tubes and pressure vessels industries. Employing central composite design the process parameters for Gas Tungsten Arc Welding was optimized. The input parameters chosen were weld current, peak current and frequency. The joint tensile strength was the response considered in this study. Analysis of variance was performed to determine the statistical significance of the parameters and a Regression analysis was performed to determine the effect of input parameters over the response. From the experiment the maximum tensile strength obtained was 95 KN reported for a weld current of 95 Amp, frequency of 50 Hz and peak current of 100 Amp. With an aim of maximizing the joint strength using Response optimizer a target value of 100 KN is selected and regression models were optimized. The output results are achievable with a Weld current of 62.6148 Amp, Frequency of 23.1821 Hz, and Peak current of 65.9104 Amp. Using Die penetration test the weld joints were also classified in to 2 categories as good weld and weld with defect. This will also help in getting a defect free joint when welding is performed using GTAW process.

Applying the lessons of high risk industries to health care.

PubMed

Hudson, P

2003-12-01

High risk industries such as commercial aviation and the oil and gas industry have achieved exemplary safety performance. This paper reviews how they have managed to do that. The primary reasons are the positive attitudes towards safety and the operation of effective formal safety management systems. The safety culture provides an important explanation of why such organisations perform well. An evolutionary model of safety culture is provided in which there is a range of cultures from the pathological through the reactive to the calculative. Later, the proactive culture can evolve towards the generative organisation, an alternative description of the high reliability organisation. The current status of health care is reviewed, arguing that it has a much higher level of accidents and has a reactive culture, lagging behind both high risk industries studied in both attitude and systematic management of patient risks.

Leveraging R&D Resources via the Joint LLC Model

NASA Astrophysics Data System (ADS)

Ganz, Matthew W.

2008-03-01

Industrial scientific research labs have become increasingly stressed in recent years by a variety of external forces. Both corporations and government funding agencies have shifted their priorities from long-term fundamental research toward projects that have a high probability of shorter-term payoff. Industrial funding has been further stressed by an increasing demand for quarterly results and fierce global competition. Industry leaders are now asking their R&D labs for ``home runs” and not just a solid base in the physical sciences. The end of the Cold War has also left the US without a declared enemy whose overt intention was to defeat us through a mastery of large-scale weaponry based upon exploitation of fundamental physics. This, when combined with a bona-fide need for technology gap fillers to respond to on-the-ground threats in the current Middle East conflicts, has led to diminished government emphasis on long-term research in the physical sciences. Simultaneously, the global sources of R&D spending are expanding. The dramatic growth of private equity in the technology development arena has both drawn talent from industry and changed the expectations on researchers. R&D spending in China, India and many other countries is growing significantly. Thus, in order to become relevant, industry must now keep its finger on the pulse of the hundreds of billions of dollars being invested privately and publicly around the world. HRL Laboratories, LLC in Malibu, California represents a unique and successful new business model for industrial R&D. HRL was founded by Howard Hughes in 1948 as the Hughes Research Laboratory and for more than four decades was the internal R&D lab for the Hughes Aircraft Company. After a series of mergers, acquisitions and divestitures over the past 15 years, HRL is now a stand-alone LLC that is owned jointly by General Motors and the Boeing Company. HRL, with a staff of about 300, performs R&D services for GM and Boeing as well as for government and commercial entities. The central themes to HRL’s business model are innovation, value and leverage. Leverage is key to the company’s success. HRL’s business model has been carefully honed to allow its parent companies to perform proprietary R&D in certain areas and joint, collaborative R&D among the LLC members in others. The intellectual property arrangements are skillfully organized so that the LLC Members receive a greater than 4:1 leverage of their research dollars in terms of the IP rights gained. This briefing will describe an overview of the current industrial research environment, HRL’s business model, and challenges to future success.

A Feasibility Study on Numerical Modeling of Large-Scale Naval Fluid-Filled Structure: Contact-Impact Problems

DTIC Science & Technology

2011-02-01

capabilities for airbags , sensors, and seatbelts have tailored the code for applications in the automotive industry. Currently the code contains...larger intervals. In certain contact scenarios where contacting parts are moving relative to each other in a rapid fashion, such as airbag deployment

NEW TECHNOLOGIES TO SOLVE OLD PROBLEMS AND ADDRESS ISSUES IN RISK ASSESSMENT

EPA Science Inventory

Appropriate utilization of data is an ongoing concern of the regulated industries and the agencies charged with assessing safety or risk. An area of current interest is the possibility that toxicogenomics will enhance our ability to develop higher or high-throughput models for pr...

Issues in Work-Related Education. EAE605 Human Resource Development.

ERIC Educational Resources Information Center

Deakin Univ., Victoria (Australia).

This publication is part of the study materials for the one-semester distance education unit, Human Resource Development, in the Open Campus Program at Deakin University (Australia). It contains three essays that explore the approaches to learning currently modeled within industry. "Training for Women" (Kathy MacDermott) presents the…

Limitations on Change: Current Conditions Influencing Academic Intransigence in Educational Administration Programs.

ERIC Educational Resources Information Center

Logan, Connie Stokes; Pounder, Diana G.

An analysis of academic intransigence (resistance to change) in educational administrative preparation programs is presented in this paper. Drawing upon two conceptual frameworks, the stakeholder perspective and Porter's (1980) five-force model of industry structure and competitive influence, two factors contributing to academic intransigence are…

Industry into Teaching: An Alternative Model

ERIC Educational Resources Information Center

Green, Annette; Randall, Rachael; Francis, Rod

2004-01-01

Teacher shortages have encouraged initiatives to tailor training programs to meet the demand in both past, current and future contexts. Such programs have been streamlined to ensure a rapid response to shortages, in addition to also drawing participants from non-traditional groups as a source of potential educators. More broadly in teacher…

Simulating and Optimizing Preparative Protein Chromatography with ChromX

ERIC Educational Resources Information Center

Hahn, Tobias; Huuk, Thiemo; Heuveline, Vincent; Hubbuch, Ju¨rgen

2015-01-01

Industrial purification of biomolecules is commonly based on a sequence of chromatographic processes, which are adapted slightly to new target components, as the time to market is crucial. To improve time and material efficiency, modeling is increasingly used to determine optimal operating conditions, thus providing new challenges for current and…

The Philosophy and Foundations of Vocational Education.

ERIC Educational Resources Information Center

MSS Information Corp., New York, NY.

The introductory volume in a new series on vocational education, the book surveys recent literature on the philosophy and foundations of this relatively new field. Opening papers deal with the objectives of vocational education departments in high schools, current standards of technological and industrial education, and models for comprehensive…

The First Aid Training Picture.

ERIC Educational Resources Information Center

Moore, Ian

2000-01-01

Discusses the history of first aid training provisions in the United Kingdom with respect to the outdoor industry, what to look for in a first aid training provider, an experiential model of first aid training, and the current National Governing Body requirements for first aid training for various types of coaches and instructors. (TD)

Characterizing uncertainty when evaluating risk management metrics: risk assessment modeling of Listeria monocytogenes contamination in ready-to-eat deli meats.

PubMed

Gallagher, Daniel; Ebel, Eric D; Gallagher, Owen; Labarre, David; Williams, Michael S; Golden, Neal J; Pouillot, Régis; Dearfield, Kerry L; Kause, Janell

2013-04-01

This report illustrates how the uncertainty about food safety metrics may influence the selection of a performance objective (PO). To accomplish this goal, we developed a model concerning Listeria monocytogenes in ready-to-eat (RTE) deli meats. This application used a second order Monte Carlo model that simulates L. monocytogenes concentrations through a series of steps: the food-processing establishment, transport, retail, the consumer's home and consumption. The model accounted for growth inhibitor use, retail cross contamination, and applied an FAO/WHO dose response model for evaluating the probability of illness. An appropriate level of protection (ALOP) risk metric was selected as the average risk of illness per serving across all consumed servings-per-annum and the model was used to solve for the corresponding performance objective (PO) risk metric as the maximum allowable L. monocytogenes concentration (cfu/g) at the processing establishment where regulatory monitoring would occur. Given uncertainty about model inputs, an uncertainty distribution of the PO was estimated. Additionally, we considered how RTE deli meats contaminated at levels above the PO would be handled by the industry using three alternative approaches. Points on the PO distribution represent the probability that - if the industry complies with a particular PO - the resulting risk-per-serving is less than or equal to the target ALOP. For example, assuming (1) a target ALOP of -6.41 log10 risk of illness per serving, (2) industry concentrations above the PO that are re-distributed throughout the remaining concentration distribution and (3) no dose response uncertainty, establishment PO's of -4.98 and -4.39 log10 cfu/g would be required for 90% and 75% confidence that the target ALOP is met, respectively. The PO concentrations from this example scenario are more stringent than the current typical monitoring level of an absence in 25 g (i.e., -1.40 log10 cfu/g) or a stricter criteria of absence in 125 g (i.e., -2.1 log10 cfu/g). This example, and others, demonstrates that a PO for L. monocytogenes would be far below any current monitoring capabilities. Furthermore, this work highlights the demands placed on risk managers and risk assessors when applying uncertain risk models to the current risk metric framework. Copyright © 2013 Elsevier B.V. All rights reserved.

Social Work and Prison Labor: A Restorative Model.

PubMed

Sliva, Shannon M; Samimi, Ceema

2018-04-01

The prison industry is one of the fastest-growing industries in the United States, fueled largely by prison privatization. UN guidelines and U.S. federal policy outline standards for prison workers, but evidence suggests that protections have been ignored or circumvented. The current prison labor system allows corporations to profit from punishment that is disproportionately allocated to people of color and the poor. This article provides a critical analysis of prison labor policies in the United States and proposes a position for social workers on the ethical and restorative use of inmate labor. This model uses the framework of restorative justice to explore how successful models of social enterprise can benefit inmates and their communities. Meaningful prison enterprises may offer the ability to return resources to communities depleted by crime and incarceration, and to restore inmates to full citizenship.

Amino acid catabolism-directed biofuel production in Clostridium sticklandii: An insight into model-driven systems engineering.

PubMed

Sangavai, C; Chellapandi, P

2017-12-01

Model-driven systems engineering has been more fascinating process for the microbial production of biofuel and bio-refineries in chemical and pharmaceutical industries. Genome-scale modeling and simulations have been guided for metabolic engineering of Clostridium species for the production of organic solvents and organic acids. Among them, Clostridium sticklandii is one of the potential organisms to be exploited as a microbial cell factory for biofuel production. It is a hyper-ammonia producing bacterium and is able to catabolize amino acids as important carbon and energy sources via Stickland reactions and the development of the specific pathways. Current genomic and metabolic aspects of this bacterium are comprehensively reviewed herein, which provided information for learning about protein catabolism-directed biofuel production. It has a metabolic potential to drive energy and direct solventogenesis as well as acidogenesis from protein catabolism. It produces by-products such as ethanol, acetate, n -butanol, n -butyrate and hydrogen from amino acid catabolism. Model-driven systems engineering of this organism would improve the performance of the industrial sectors and enhance the industrial economy by using protein-based waste in environment-friendly ways.

Renovation of a mechanical engineering senior design class to an industry-tied and team-oriented course

NASA Astrophysics Data System (ADS)

Liu, Yucheng

2017-11-01

In this work, an industry-based and team-oriented education model was established based on a traditional mechanical engineering (ME) senior design class in order to better prepare future engineers and leaders so as to meet the increasing demand for high-quality engineering graduates. In the renovated curriculum, industry-sponsored projects became the most important course component and critical assessment tool, from which problem-solving skills as well as employability skills of the ME students can be fully developed. Hands-on experiences in finite element analysis (FEA) modelling and simulation were also added into the renovated curriculum to promote the application of FEA on engineering design and assessment. Evaluation of the renovated course was conducted using two instruments and the results have shown that the course made the ME senior students more prepared for their future career and a win-win model was created between the industry partner and the ME programme through it. Impact of the renovated syllabus on Accreditation Board for Engineering Technology goals was discussed. Based on the current progress, a more substantial change is being planned to further improve the effectiveness and practicability of this design course. The renovated course was started to offer to the ME senior students at Mississippi State University.

Medical Differential Diagnosis (MDD) as the Architectural Framework for a Knowledge Model: A Vulnerability Detection and Threat Identification Methodology for Cyber-Crime and Cyber-Terrorism

ERIC Educational Resources Information Center

Conley-Ware, Lakita D.

2010-01-01

This research addresses a real world cyberspace problem, where currently no cross industry standard methodology exists. The goal is to develop a model for identification and detection of vulnerabilities and threats of cyber-crime or cyber-terrorism where cyber-technology is the vehicle to commit the criminal or terrorist act (CVCT). This goal was…

Establishing Chlamydomonas reinhardtii as an industrial biotechnology host.

PubMed

Scaife, Mark A; Nguyen, Ginnie T D T; Rico, Juan; Lambert, Devinn; Helliwell, Katherine E; Smith, Alison G

2015-05-01

Microalgae constitute a diverse group of eukaryotic unicellular organisms that are of interest for pure and applied research. Owing to their natural synthesis of value-added natural products microalgae are emerging as a source of sustainable chemical compounds, proteins and metabolites, including but not limited to those that could replace compounds currently made from fossil fuels. For the model microalga, Chlamydomonas reinhardtii, this has prompted a period of rapid development so that this organism is poised for exploitation as an industrial biotechnology platform. The question now is how best to achieve this? Highly advanced industrial biotechnology systems using bacteria and yeasts were established in a classical metabolic engineering manner over several decades. However, the advent of advanced molecular tools and the rise of synthetic biology provide an opportunity to expedite the development of C. reinhardtii as an industrial biotechnology platform, avoiding the process of incremental improvement. In this review we describe the current status of genetic manipulation of C. reinhardtii for metabolic engineering. We then introduce several concepts that underpin synthetic biology, and show how generic parts are identified and used in a standard manner to achieve predictable outputs. Based on this we suggest that the development of C. reinhardtii as an industrial biotechnology platform can be achieved more efficiently through adoption of a synthetic biology approach. © 2015 The Authors The Plant Journal published by Society for Experimental Biology and John Wiley & Sons Ltd.

Ubiquitous Health in Korea: Progress, Barriers, and Prospects

PubMed Central

Lee, Yountae

2012-01-01

Objectives Korea has one of the most advanced information technology (IT) infrastructures in the world, and the application of IT in health systems is rapidly progressing from computerization to information systems, ubiquitous systems, and smart systems. This study aims to analyze Korean environments in regards to the development of their u-Health industry and propose directions for u-Healthcare services based on this analysis. Methods This paper reviews the background, progress history, and current status of u-Health in Korea, and suggests strategies for the u-Health industry based on an analysis of its barriers and obstacles. Results When u-Health was introduced to Koreans, their policies and approaches focused mainly on environmental factors, yet these efforts have not progressed further to impact the u-Healthcare service industry itself. To develop the u-Healthcare industry, four points need to be considered: the development and support of the practical service model, institutional support, support of core technology and industry, and the institutionalization of health management service. Conclusions Korea is at a strategic point to start building u-Healthcare service delivery models. u-Healthcare is a healthcare service that provides added value through u-Health environments. By identifying critical success factors in u-Healthcare, we can strengthen the u-Health industry and implement policies to coordinate our efforts in the process of value chains to which we belong. PMID:23346474

Novel opportunities for computational biology and sociology in drug discovery☆

PubMed Central

Yao, Lixia; Evans, James A.; Rzhetsky, Andrey

2013-01-01

Current drug discovery is impossible without sophisticated modeling and computation. In this review we outline previous advances in computational biology and, by tracing the steps involved in pharmaceutical development, explore a range of novel, high-value opportunities for computational innovation in modeling the biological process of disease and the social process of drug discovery. These opportunities include text mining for new drug leads, modeling molecular pathways and predicting the efficacy of drug cocktails, analyzing genetic overlap between diseases and predicting alternative drug use. Computation can also be used to model research teams and innovative regions and to estimate the value of academy–industry links for scientific and human benefit. Attention to these opportunities could promise punctuated advance and will complement the well-established computational work on which drug discovery currently relies. PMID:20349528

Using an instrumented manikin for Space Station Freedom analysis

NASA Technical Reports Server (NTRS)

Orr, Linda; Hill, Richard

1989-01-01

One of the most intriguing and complex areas of current computer graphics research is animating human figures to behave in a realistic manner. Believable, accurate human models are desirable for many everyday uses including industrial and architectural design, medical applications, and human factors evaluations. For zero-gravity (0-g) spacecraft design and mission planning scenarios, they are particularly valuable since 0-g conditions are difficult to simulate in a one-gravity Earth environment. At NASA/JSC, an in-house human modeling package called PLAID is currently being used to produce animations for human factors evaluation of Space Station Freedom design issues. Presented here is an introductory background discussion of problems encountered in existing techniques for animating human models and how an instrumented manikin can help improve the realism of these models.

Applying PCI in Combination Swivel Head Wrench

NASA Astrophysics Data System (ADS)

Chen, Tsang-Chiang; Yang, Chun-Ming; Hsu, Chang-Hsien; Hung, Hsiang-Wen

2017-09-01

Taiwan’s traditional industries are subject to competition in the era of globalization and environmental change, the industry is facing economic pressure and shock, and now sustainable business can only continue to improve production efficiency and quality of technology, in order to stabilize the market, to obtain high occupancy. The use of process capability indices to monitor the quality of the ratchet wrench to find the key function of the dual-use ratchet wrench, the actual measurement data, The use of process capability Cpk index analysis, and draw Process Capability Analysis Chart model. Finally, this study explores the current situation of this case and proposes a lack of improvement and improvement methods to improve the overall quality and thereby enhance the overall industry.

Extreme Conditions Modeling Workshop Report

DOE Office of Scientific and Technical Information (OSTI.GOV)

Coe, R. G.; Neary, V. S.; Lawson, M. J.

2014-07-01

Sandia National Laboratories (SNL) and the National Renewable Energy Laboratory (NREL) hosted the Wave Energy Converter (WEC) Extreme Conditions Modeling (ECM) Workshop in Albuquerque, NM on May 13th-14th, 2014. The objective of the workshop was to review the current state of knowledge on how to model WECs in extreme conditions (e.g. hurricanes and other large storms) and to suggest how U.S. Department of Energy (DOE) and national laboratory resources could be used to improve ECM methods for the benefit of the wave energy industry.

Modeling of processing technologies in food industry

NASA Astrophysics Data System (ADS)

Korotkov, V. G.; Sagitov, R. F.; Popov, V. P.; Bachirov, V. D.; Akhmadieva, Z. R.; TSirkaeva, E. A.

2018-03-01

Currently, the society is facing an urgent need to solve the problems of nutrition (products with increased nutrition value) and to develop energy-saving technologies for food products. A mathematical modeling of heat and mass transfer of polymer materials in the extruder is rather successful these days. Mathematical description of movement and heat exchange during extrusion of gluten-protein-starch-containing material similar to pasta dough in its structure, were taken as a framework for the mathematical model presented in this paper.

Essays on price cap regulation and yardstick competition

NASA Astrophysics Data System (ADS)

Noronha, Vernon Andrew

This dissertation presents three papers on the regulation of monopoly firms in the same industry using yardstick competition to determine prices. In the first paper, "Yardstick Competition for Diversified Firms," we extend Shleifer's (1985) model to the case of diversified firms, and find that the social optimum, in which firms would need to produce at lower marginal cost than in Shleifer's model, is unlikely to be attained through profit maximization. In the second paper, "Cost Reduction under a Regression-Based Revenue Cap Regime," we identify certain hitherto unexplored and potentially undesirable properties for the form of yardstick competition that is widely applied. Allowed revenue totals for monopoly utility firms are determined by a regression of all firms' current costs on their cost drivers. It is shown that this mechanism induces firms to invest less in cost-reducing technology than if prices are determined purely exogenously, and that such cost-distorting behavior is not uniform across the industry. In particular, firms whose sizes are most different from the industry-mean elevate their costs proportionately much more than firms of similar size to the mean. However, this distortion vanishes as the number of firms grows large. In the third paper, "Predicted Cost-Distorting Conduct by UK Electricity Distribution Firms," by undertaking numerical examples using data on the UK electricity distribution industry, we discover that although the currently employed system of yardstick competition may have theoretical shortcomings, in practice, these are of slight consequence. There is found to be relatively little predicted distortion of costs for the majority of firms. In fact, this system is shown to generate greater social welfare than a similar system in which firms would not have any incentive to distort costs, unless consumer surplus enjoys a very high weight relative to industry profits. It is also shown that mergers within the industry could have an unexpected beneficial effect by reducing the extent of cost-distorting behavior by larger firms, although the industry-wide net effect has to be judged on a case-by-case basis.

An Object-Relational Ifc Storage Model Based on Oracle Database

NASA Astrophysics Data System (ADS)

Li, Hang; Liu, Hua; Liu, Yong; Wang, Yuan

2016-06-01

With the building models are getting increasingly complicated, the levels of collaboration across professionals attract more attention in the architecture, engineering and construction (AEC) industry. In order to adapt the change, buildingSMART developed Industry Foundation Classes (IFC) to facilitate the interoperability between software platforms. However, IFC data are currently shared in the form of text file, which is defective. In this paper, considering the object-based inheritance hierarchy of IFC and the storage features of different database management systems (DBMS), we propose a novel object-relational storage model that uses Oracle database to store IFC data. Firstly, establish the mapping rules between data types in IFC specification and Oracle database. Secondly, design the IFC database according to the relationships among IFC entities. Thirdly, parse the IFC file and extract IFC data. And lastly, store IFC data into corresponding tables in IFC database. In experiment, three different building models are selected to demonstrate the effectiveness of our storage model. The comparison of experimental statistics proves that IFC data are lossless during data exchange.

Uranium mining industry views on ICRP statement on radon.

PubMed

Takala, J

2012-01-01

In 2009, the International Commission on Radiological Protection issued a statement on radon which stated that the dose conversion factor for radon progeny would likely double, and the calculation of risk from radon should move to a dosimetric approach, rather than the longstanding epidemiological approach. Through the World Nuclear Association, whose members represent over 90% of the world's uranium production, industry has been examining this issue with a goal of offering expertise and knowledge to assist with the practical implementation of these evolutionary changes to evaluating the risk from radon progeny. Industry supports the continuing use of the most current epidemiological data as a basis for risk calculation, but believes that further examination of these results is needed to better understand the level of conservatism in the potential epidemiological-based risk models. With regard to adoption of the dosimetric approach, industry believes that further work is needed before this is a practical option. In particular, this work should include a clear demonstration of the validation of the dosimetric model which includes how smoking is handled, the establishment of a practical measurement protocol, and the collection of relevant data for modern workplaces. Industry is actively working to address the latter two items. Copyright © 2012. Published by Elsevier Ltd.

Study on Standard Fatigue Vehicle Load Model

NASA Astrophysics Data System (ADS)

Huang, H. Y.; Zhang, J. P.; Li, Y. H.

2018-02-01

Based on the measured data of truck from three artery expressways in Guangdong Province, the statistical analysis of truck weight was conducted according to axle number. The standard fatigue vehicle model applied to industrial areas in the middle and late was obtained, which adopted equivalence damage principle, Miner linear accumulation law, water discharge method and damage ratio theory. Compared with the fatigue vehicle model Specified by the current bridge design code, the proposed model has better applicability. It is of certain reference value for the fatigue design of bridge in China.

The dynamics of total outputs of Indonesian industrial sectors: A further study

NASA Astrophysics Data System (ADS)

Zuhdi, Ubaidillah

2017-03-01

The purpose of the current study is to extend the previous studies which analyze the impacts of final demands modifications on the total outputs of industrial sectors of a particular country. More specifically, the study conducts the analysis regarding the impacts on the total outputs of Indonesian industrial sectors. The study employs a demand-pull Input-Output (IO) quantity model, one of the calculation instruments in the IO analysis. The study focuses on seventeen industries. There are two scenarios used in this study, namely other final demands and import modifications. The “whole sector change” condition is implemented in the calculations. An initial period in this study is 2010. The results show that the positive impacts on the total outputs of focused sectors are distributed by scenario 1, the change of other final demands. On the contrary, the negative impacts are delivered by scenario 2, the modification of imports. The suggestions for improving the total outputs of discussed industries are based on the results.

Discovery of innovative therapeutics: today's realities and tomorrow's vision. 2. Pharma's challenges and their commitment to innovation.

PubMed

Abou-Gharbia, Magid; Childers, Wayne E

2014-07-10

The pharmaceutical industry is facing enormous challenges, including reduced efficiency, stagnant success rate, patent expirations for key drugs, fierce price competition from generics, high regulatory hurdles, and the industry's perceived tarnished image. Pharma has responded by embarking on a range of initiatives. Other sectors, including NIH, have also responded. Academic drug discovery groups have appeared to support the transition of innovative academic discoveries and ideas into attractive drug discovery opportunities. Part 1 of this two-part series discussed the criticisms that have been leveled at the pharmaceutical industry over the past 3 decades and summarized the supporting data for and against these criticisms. This second installment will focus on the current challenges facing the pharmaceutical industry and Pharma's responses, focusing on the industry's changing perspective and new business models for coping with the loss of talent and declining clinical pipelines as well as presenting some examples of recent drug discovery successes.

Utilization of moving bed biofilm reactor for industrial wastewater treatment containing ethylene glycol: kinetic and performance study.

PubMed

Hassani, Amir Hessam; Borghei, Seyed Mehdi; Samadyar, Hassan; Ghanbari, Bastam

2014-01-01

One of the requirements for environmental engineering, which is currently being considered, is the removal of ethylene glycol (EG) as a hazardous environmental pollutant from industrial wastewater. Therefore, in a recent study, a moving bed biofilm reactor (MBBR) was applied at pilot scale to treat industrial effluents containing different concentrations of EG (600, 800, 1200, and 1800 mg L-1 ). The removal efficiency and kinetic analysis of the system were examined at different hydraulic retention times of 6, 8, 10, and 12 h as well as influent chemical oxygen demand (COD) ranged between values of 1000 and 3000mg L-1. In minimum and maximum COD Loadings, the MBBR showed 95.1% and 60.7% removal efficiencies, while 95.9% and 66.2% EG removal efficiencies were achieved in the lowest and highest EG concentrations. The results of the reactor modelling suggested compliance of the well-known modified Stover-Kincannon model with the system.

Nanotechnology in food processing sector-An assessment of emerging trends.

PubMed

Kalpana Sastry, R; Anshul, Shrivastava; Rao, N H

2013-10-01

Use of nanoscience based technology in the food industry is fast emerging as new area for research and development. Several research groups including private companies in the industry have initiated research programmes for exploring the wide scope of nanotechnology into the value chain of food processing and manufacturing. This paper discusses the current focus of research in this area and assesses its potential impacts. Using the developed relational database framework with R&D indicators like literature and patent documents for assessment of the potential of nanotechnology in food sector, a model to organize and map nanoresearch areas to the food processing sector was developed. The study indicates that the about five basic categories of nanotechnology applications and functionalities currently in the development of food sector, include food processing, packaging, nutraceuticals delivery, food safety and functional foods.

Biological conversion of carbon dioxide and hydrogen into liquid fuels and industrial chemicals.

PubMed

Hawkins, Aaron S; McTernan, Patrick M; Lian, Hong; Kelly, Robert M; Adams, Michael W W

2013-06-01

Non-photosynthetic routes for biological fixation of carbon dioxide into valuable industrial chemical precursors and fuels are moving from concept to reality. The development of 'electrofuel'-producing microorganisms leverages techniques in synthetic biology, genetic and metabolic engineering, as well as systems-level multi-omic analysis, directed evolution, and in silico modeling. Electrofuel processes are being developed for a range of microorganisms and energy sources (e.g. hydrogen, formate, electricity) to produce a variety of target molecules (e.g. alcohols, terpenes, alkenes). This review examines the current landscape of electrofuel projects with a focus on hydrogen-utilizing organisms covering the biochemistry of hydrogenases and carbonic anhydrases, kinetic and energetic analyses of the known carbon fixation pathways, and the state of genetic systems for current and prospective electrofuel-producing microorganisms. Copyright © 2013 Elsevier Ltd. All rights reserved.

Applying the lessons of high risk industries to health care

PubMed Central

Hudson, P

2003-01-01

High risk industries such as commercial aviation and the oil and gas industry have achieved exemplary safety performance. This paper reviews how they have managed to do that. The primary reasons are the positive attitudes towards safety and the operation of effective formal safety management systems. The safety culture provides an important explanation of why such organisations perform well. An evolutionary model of safety culture is provided in which there is a range of cultures from the pathological through the reactive to the calculative. Later, the proactive culture can evolve towards the generative organisation, an alternative description of the high reliability organisation. The current status of health care is reviewed, arguing that it has a much higher level of accidents and has a reactive culture, lagging behind both high risk industries studied in both attitude and systematic management of patient risks. PMID:14645741

Electrical description of N2 capacitively coupled plasmas with the global model

NASA Astrophysics Data System (ADS)

Cao, Ming-Lu; Lu, Yi-Jia; Cheng, Jia; Ji, Lin-Hong; Engineering Design Team

2016-10-01

N2 discharges in a commercial capacitively coupled plasma reactor are modelled by a combination of an equivalent circuit and the global model, for a range of gas pressure at 1 4 Torr. The ohmic and inductive plasma bulk and the capacitive sheath are represented as LCR elements, with electrical characteristics determined by plasma parameters. The electron density and electron temperature are obtained from the global model in which a Maxwellian electron distribution is assumed. Voltages and currents are recorded by a VI probe installed after the match network. Using the measured voltage as an input, the current flowing through the discharge volume is calculated from the electrical model and shows excellent agreement with the measurements. The experimentally verified electrical model provides a simple and accurate description for the relationship between the external electrical parameters and the plasma properties, which can serve as a guideline for process window planning in industrial applications.

Uncovering Randomness and Success in Society

PubMed Central

Jalan, Sarika; Sarkar, Camellia; Madhusudanan, Anagha; Dwivedi, Sanjiv Kumar

2014-01-01

An understanding of how individuals shape and impact the evolution of society is vastly limited due to the unavailability of large-scale reliable datasets that can simultaneously capture information regarding individual movements and social interactions. We believe that the popular Indian film industry, “Bollywood”, can provide a social network apt for such a study. Bollywood provides massive amounts of real, unbiased data that spans more than 100 years, and hence this network has been used as a model for the present paper. The nodes which maintain a moderate degree or widely cooperate with the other nodes of the network tend to be more fit (measured as the success of the node in the industry) in comparison to the other nodes. The analysis carried forth in the current work, using a conjoined framework of complex network theory and random matrix theory, aims to quantify the elements that determine the fitness of an individual node and the factors that contribute to the robustness of a network. The authors of this paper believe that the method of study used in the current paper can be extended to study various other industries and organizations. PMID:24533073

Uncovering randomness and success in society.

PubMed

Jalan, Sarika; Sarkar, Camellia; Madhusudanan, Anagha; Dwivedi, Sanjiv Kumar

2014-01-01

An understanding of how individuals shape and impact the evolution of society is vastly limited due to the unavailability of large-scale reliable datasets that can simultaneously capture information regarding individual movements and social interactions. We believe that the popular Indian film industry, "Bollywood", can provide a social network apt for such a study. Bollywood provides massive amounts of real, unbiased data that spans more than 100 years, and hence this network has been used as a model for the present paper. The nodes which maintain a moderate degree or widely cooperate with the other nodes of the network tend to be more fit (measured as the success of the node in the industry) in comparison to the other nodes. The analysis carried forth in the current work, using a conjoined framework of complex network theory and random matrix theory, aims to quantify the elements that determine the fitness of an individual node and the factors that contribute to the robustness of a network. The authors of this paper believe that the method of study used in the current paper can be extended to study various other industries and organizations.

2013 Cost of Wind Energy Review

DOE Office of Scientific and Technical Information (OSTI.GOV)

Mone, C.; Smith, A.; Maples, B.

2015-02-01

This report uses representative project types to estimate the levelized cost of wind energy (LCOE) in the United States for 2013. Scheduled to be published on an annual basis, it relies on both market and modeled data to maintain a current understanding of wind generation cost trends and drivers. It is intended to provide insight into current component-level costs and a basis for understanding current component-level costs and a basis for understanding variability in the LCOE across the industry. Data and tools developed from this analysis are used to inform wind technology cost projections, goals, and improvement opportunities.

reClaiming Space & Dialogue in Adult Education

ERIC Educational Resources Information Center

Kawalilak, Colleen A.

2006-01-01

This paper critiques current trends in adult education against a backdrop of practice that was once testimony to an educational model that extended beyond formal learning and a business and industry agenda. Adult educators are called upon to reclaim an identity as leaders, in support of a shift in perspective and practice, more aligned to…

Agrofuels and Agrifoods: Counting the Externalities at the Major Crossroads of the 21st Century

ERIC Educational Resources Information Center

Pengue, Walter A.

2009-01-01

The economically successful model of industrial agriculture that is currently expanding throughout Argentina is leading to deep social, economic, environmental, and logistical changes that are seriously restricting the sustainability of the rural, urban and environmental systems. The transformation of activities, the arrival of new technologies,…

Pedagogical Content Knowledge and Industrial Design Education

ERIC Educational Resources Information Center

Phillips, Kenneth R.; De Miranda, Michael A.; Shin, Jinseup

2009-01-01

Pedagogical content knowledge (PCK) has been embraced by many of the recent educational reform documents as a way of describing the knowledge possessed by expert teachers. These reform documents have also served as guides for educators to develop models of teacher development. However, in the United States, few if any of the current models…

Models of Design: Envisioning a Future Design Education

ERIC Educational Resources Information Center

Friedman, Ken

2012-01-01

This article offers a large-scale view of how design fits in the world economy today, and the role of design education in preparing designers for their economic and professional role. The current context of design involves broad-based historical changes including a major redistribution of geopolitical and industrial power from the West to the…

Applying the Job Characteristics Model to the College Education Experience

ERIC Educational Resources Information Center

Kass, Steven J.; Vodanovich, Stephen J.; Khosravi, Jasmine Y.

2011-01-01

Boredom is one of the most common complaints among university students, with studies suggesting its link to poor grades, drop out, and behavioral problems. Principles borrowed from industrial-organizational psychology may help prevent boredom and enrich the classroom experience. In the current study, we applied the core dimensions of the job…

A simulated approach to estimating PM10 and PM2.5 concentrations downwind from cotton gins

USDA-ARS?s Scientific Manuscript database

Cotton gins are required to obtain operating permits from state air pollution regulatory agencies (SAPRA), which regulate the amount of particulate matter that can be emitted. Industrial Source Complex Short Term version 3 (ISCST3) is the Gaussian dispersion model currently used by some SAPRAs to pr...

Quantum chemistry in environmental pesticide risk assessment.

PubMed

Villaverde, Juan J; López-Goti, Carmen; Alcamí, Manuel; Lamsabhi, Al Mokhtar; Alonso-Prados, José L; Sandín-España, Pilar

2017-11-01

The scientific community and regulatory bodies worldwide, currently promote the development of non-experimental tests that produce reliable data for pesticide risk assessment. The use of standard quantum chemistry methods could allow the development of tools to perform a first screening of compounds to be considered for the experimental studies, improving the risk assessment. This fact results in a better distribution of resources and in better planning, allowing a more exhaustive study of the pesticides and their metabolic products. The current paper explores the potential of quantum chemistry in modelling toxicity and environmental behaviour of pesticides and their by-products by using electronic descriptors obtained computationally. Quantum chemistry has potential to estimate the physico-chemical properties of pesticides, including certain chemical reaction mechanisms and their degradation pathways, allowing modelling of the environmental behaviour of both pesticides and their by-products. In this sense, theoretical methods can contribute to performing a more focused risk assessment of pesticides used in the market, and may lead to higher quality and safer agricultural products. © 2017 Society of Chemical Industry. © 2017 Society of Chemical Industry.

20 CFR 216.13 - Regular current connection test.

Code of Federal Regulations, 2011 CFR

2011-04-01

... 20 Employees' Benefits 1 2011-04-01 2011-04-01 false Regular current connection test. 216.13... ELIGIBILITY FOR AN ANNUITY Current Connection With the Railroad Industry § 216.13 Regular current connection test. An employee has a current connection with the railroad industry if he or she meets one of the...

20 CFR 216.13 - Regular current connection test.

Code of Federal Regulations, 2010 CFR

2010-04-01

... 20 Employees' Benefits 1 2010-04-01 2010-04-01 false Regular current connection test. 216.13... ELIGIBILITY FOR AN ANNUITY Current Connection With the Railroad Industry § 216.13 Regular current connection test. An employee has a current connection with the railroad industry if he or she meets one of the...

The Role of the National Defense Stockpile in the Supply of Strategic and Critical Materials

DTIC Science & Technology

2008-05-09

Insurance Trust Fund and the Federal Supplementary Medical Trust Fund.53 12 Analysis of NDS Operations and Alternatives The current method of determining...requirements are based upon analysis of military, industrial, and essential civilian materials needs in light of conflict scenarios found in the National...Defense Strategy. The bulk of this analysis is done utilizing computer modeling. First, the model projects the needs for finished products and services

Connected Equipment Maturity Model Version 1.0

DOE Office of Scientific and Technical Information (OSTI.GOV)

Butzbaugh, Joshua B.; Mayhorn, Ebony T.; Sullivan, Greg

2017-05-01

The Connected Equipment Maturity Model (CEMM) evaluates the high-level functionality and characteristics that enable equipment to provide the four categories of energy-related services through communication with other entities (e.g., equipment, third parties, utilities, and users). The CEMM will help the U.S. Department of Energy, industry, energy efficiency organizations, and research institutions benchmark the current state of connected equipment and identify capabilities that may be attained to reach a more advanced, future state.

Hardware Model Of A Shipboard Zonal Electrical Distribution System (ZEDS): Alternating Current/Direct Current (AC/DC)

DTIC Science & Technology

2010-06-01

essential to fostering the loyalty , dedication and pride that enables the diverse student population within your department to be the very best systems...that I have enjoyed in my short time with you. Without you in my life, to share my success, I could not have ever achieved the level of satisfaction ...used. A typical wall mounted light switch is a single pole single throw switch. A common industrial motor start switch is a three pole single throw

Hardware Model of a Shipboard Zonal Electrical Distribution System (ZEDS): Alternating Current/Direct Current (AC/DC)

DTIC Science & Technology

2010-06-01

perfect example on how to lead, manage and strive for excellence in every aspect of your life. Your leadership is essential to fostering the loyalty ...share my success, I could not have ever achieved the level of satisfaction and enjoyment that I have. You will never understand how helpful the...A typical wall mounted light switch is a single pole single throw switch. A common industrial motor start switch is a three pole single throw switch

Prognostics and Health Management of Wind Turbines: Current Status and Future Opportunities

DOE Office of Scientific and Technical Information (OSTI.GOV)

Sheng, Shuangwen

Prognostics and health management is not a new concept. It has been used in relatively mature industries, such as aviation and electronics, to help improve operation and maintenance (O&M) practices. In the wind industry, prognostics and health management is relatively new. The level for both wind industry applications and research and development (R&D) has increased in recent years because of its potential for reducing O&M cost of wind power, especially for turbines installed offshore. The majority of wind industry application efforts has been focused on diagnosis based on various sensing and feature extraction techniques. For R&D, activities are being conductedmore » in almost all areas of a typical prognostics and health management framework (i.e., sensing, data collection, feature extraction, diagnosis, prognosis, and maintenance scheduling). This presentation provides an overview of the current status of wind turbine prognostics and health management that focuses on drivetrain condition monitoring through vibration, oil debris, and oil condition analysis techniques. It also discusses turbine component health diagnosis through data mining and modeling based on supervisory control and data acquisition system data. Finally, it provides a brief survey of R&D activities for wind turbine prognostics and health management, along with future opportunities.« less

Establishing Chlamydomonas reinhardtii as an industrial biotechnology host

PubMed Central

Scaife, Mark A; Nguyen, Ginnie TDT; Rico, Juan; Lambert, Devinn; Helliwell, Katherine E; Smith, Alison G

2015-01-01

Microalgae constitute a diverse group of eukaryotic unicellular organisms that are of interest for pure and applied research. Owing to their natural synthesis of value-added natural products microalgae are emerging as a source of sustainable chemical compounds, proteins and metabolites, including but not limited to those that could replace compounds currently made from fossil fuels. For the model microalga, Chlamydomonas reinhardtii, this has prompted a period of rapid development so that this organism is poised for exploitation as an industrial biotechnology platform. The question now is how best to achieve this? Highly advanced industrial biotechnology systems using bacteria and yeasts were established in a classical metabolic engineering manner over several decades. However, the advent of advanced molecular tools and the rise of synthetic biology provide an opportunity to expedite the development of C. reinhardtii as an industrial biotechnology platform, avoiding the process of incremental improvement. In this review we describe the current status of genetic manipulation of C. reinhardtii for metabolic engineering. We then introduce several concepts that underpin synthetic biology, and show how generic parts are identified and used in a standard manner to achieve predictable outputs. Based on this we suggest that the development of C. reinhardtii as an industrial biotechnology platform can be achieved more efficiently through adoption of a synthetic biology approach. Significance Statement Chlamydomonas reinhardtii offers potential as a host for the production of high value compounds for industrial biotechnology. Synthetic biology provides a mechanism to generate generic, well characterised tools for application in the rational genetic manipulation of organisms: if synthetic biology principles were adopted for manipulation of C. reinhardtii, development of this microalga as an industrial biotechnology platform would be expedited. PMID:25641561

Defining the pharmaceutical system to support proactive drug safety.

PubMed

Lewis, Vicki R; Hernandez, Angelica; Meadors, Margaret

2013-02-01

The military, aviation, nuclear, and transportation industries have transformed their safety records by using a systems approach to safety and risk mitigation. This article creates a preliminary model of the U.S. pharmaceutical system using available literature including academic publications, policies, and guidelines established by regulatory bodies and drug industry trade publications. Drawing from the current literature, the goals, roles, and individualized processes of pharmaceutical subsystems will be defined. Defining the pharmaceutical system provides a vehicle to assess and address known problems within the system, and provides a means to conduct proactive risk analyses, which would create significant pharmaceutical safety advancement.

Issues and Experiences in Logistics Collaboration

NASA Astrophysics Data System (ADS)

Lehoux, Nadia; Audy, Jean-François; D‘Amours, Sophie; Rönnqvist, Mikael

Collaborative logistics is becoming more important in today’s industry. This is driven by increased environmental concerns, improved efficiency through collaborative planning supporting resources sharing and new business models implementation. This paper explores collaborative logistics and reports on business applications within the forest products industry in Sweden and Canada. It first describes current opportunities in collaborative planning. It then discusses issues related to building the coalition as well as sharing resources and benefits. Three business cases are described and used to support the discussion around these main issues. Finally, different challenges are detailed, opening new paths for researchers in the field.

Equilibrium approach towards water resource management and pollution control in coal chemical industrial park.

PubMed

Xu, Jiuping; Hou, Shuhua; Xie, Heping; Lv, Chengwei; Yao, Liming

2018-08-01

In this study, an integrated water and waste load allocation model is proposed to assist decision makers in better understanding the trade-offs between economic growth, resource utilization, and environmental protection of coal chemical industries which characteristically have high water consumption and pollution. In the decision framework, decision makers in a same park, each of whom have different goals and preferences, work together to seek a collective benefit. Similar to a Stackelberg-Nash game, the proposed approach illuminates the decision making interrelationships and involves in the conflict coordination between the park authority and the individual coal chemical company stockholders. In the proposed method, to response to climate change and other uncertainties, a risk assessment tool, Conditional Value-at-Risk (CVaR) and uncertainties through reflecting parameters and coefficients using probability and fuzzy set theory are integrated in the modeling process. Then a case study from Yuheng coal chemical park is presented to demonstrate the practicality and efficiency of the optimization model. To reasonable search the potential consequences of different responses to water and waste load allocation strategies, a number of scenario results considering environmental uncertainty and decision maker' attitudes are examined to explore the tradeoffs between economic development and environmental protection and decision makers' objectives. The results are helpful for decision/police makers to adjust current strategies adapting for current changes. Based on the scenario analyses and discussion, some propositions and operational policies are given and sensitive adaptation strategies are presented to support the efficient, balanced and sustainable development of coal chemical industrial parks. Copyright © 2018 Elsevier Ltd. All rights reserved.

Optimal allocation of bulk water supplies to competing use sectors based on economic criterion - An application to the Chao Phraya River Basin, Thailand

NASA Astrophysics Data System (ADS)

Divakar, L.; Babel, M. S.; Perret, S. R.; Gupta, A. Das

2011-04-01

SummaryThe study develops a model for optimal bulk allocations of limited available water based on an economic criterion to competing use sectors such as agriculture, domestic, industry and hydropower. The model comprises a reservoir operation module (ROM) and a water allocation module (WAM). ROM determines the amount of water available for allocation, which is used as an input to WAM with an objective function to maximize the net economic benefits of bulk allocations to different use sectors. The total net benefit functions for agriculture and hydropower sectors and the marginal net benefit from domestic and industrial sectors are established and are categorically taken as fixed in the present study. The developed model is applied to the Chao Phraya basin in Thailand. The case study results indicate that the WAM can improve net economic returns compared to the current water allocation practices.

OpenFOAM: Open source CFD in research and industry

NASA Astrophysics Data System (ADS)

Jasak, Hrvoje

2009-12-01

The current focus of development in industrial Computational Fluid Dynamics (CFD) is integration of CFD into Computer-Aided product development, geometrical optimisation, robust design and similar. On the other hand, in CFD research aims to extend the boundaries ofpractical engineering use in "non-traditional " areas. Requirements of computational flexibility and code integration are contradictory: a change of coding paradigm, with object orientation, library components, equation mimicking is proposed as a way forward. This paper describes OpenFOAM, a C++ object oriented library for Computational Continuum Mechanics (CCM) developed by the author. Efficient and flexible implementation of complex physical models is achieved by mimicking the form ofpartial differential equation in software, with code functionality provided in library form. Open Source deployment and development model allows the user to achieve desired versatility in physical modeling without the sacrifice of complex geometry support and execution efficiency.

Current status of deepwater oil spill modelling in the Faroe-Shetland Channel, Northeast Atlantic, and future challenges.

PubMed

Gallego, Alejandro; O'Hara Murray, Rory; Berx, Barbara; Turrell, William R; Beegle-Krause, C J; Inall, Mark; Sherwin, Toby; Siddorn, John; Wakelin, Sarah; Vlasenko, Vasyl; Hole, Lars R; Dagestad, Knut Frode; Rees, John; Short, Lucy; Rønningen, Petter; Main, Charlotte E; Legrand, Sebastien; Gutierrez, Tony; Witte, Ursula; Mulanaphy, Nicole

2018-02-01

As oil reserves in established basins become depleted, exploration and production moves towards relatively unexploited areas, such as deep waters off the continental shelf. The Faroe-Shetland Channel (FSC, NE Atlantic) and adjacent areas have been subject to increased focus by the oil industry. In addition to extreme depths, metocean conditions in this region characterise an environment with high waves and strong winds, strong currents, complex circulation patterns, sharp density gradients, and large small- and mesoscale variability. These conditions pose operational challenges to oil spill response and question the suitability of current oil spill modelling frameworks (oil spill models and their forcing data) to adequately simulate the behaviour of a potential oil spill in the area. This article reviews the state of knowledge relevant to deepwater oil spill modelling for the FSC area and identifies knowledge gaps and research priorities. Our analysis should be relevant to other areas of complex oceanography. Crown Copyright © 2017. Published by Elsevier Ltd. All rights reserved.

Massive separation around bluff bodies: comparisons among different cfd solvers and turbulence models

NASA Astrophysics Data System (ADS)

Armenio, Vincenzo; Fakhari, Ahmad; Petronio, Andrea; Padovan, Roberta; Pittaluga, Chiara; Caprino, Giovanni

2015-11-01

Massive flow separation is ubiquitous in industrial applications, ruling drag and hydrodynamic noise. In spite of considerable efforts, its numerical prediction still represents a challenge for CFD models in use in engineering. Aside commercial software, over the latter years the opensource software OpenFOAMR (OF) has emerged as a valid tool for prediction of complex industrial flows. In the present work, we simulate two flows representative of a class of situations occurring in industrial problems: the flow around sphere and that around a wall-mounted square cylinder at Re = 10000 . We compare the performance two different tools, namely OF and ANSYS CFX 15.0 (CFX) using different unstructured grids and turbulence models. The grids have been generated using SNAPPYHEXMESH and ANSYS ICEM CFD 15.0 with different near wall resolutions. The codes have been run in a RANS mode using k - ɛ model (OF) and SST - k - ω (CFX) with and without wall-layer models. OF has been also used in LES, WMLES and DES mode. Regarding the sphere, RANS models were not able to catch separation, while good prediction of separation and distribution of stresses over the surface were obtained using LES, WMLES and DES. Results for the second test case are currently under analysis. Financial support from COSMO ``cfd open source per opera mortta'' PAR FSC 2007-2013, Friuli Venezia Giulia.

Underwater Sound Propagation Modeling Methods for Predicting Marine Animal Exposure.

PubMed

Hamm, Craig A; McCammon, Diana F; Taillefer, Martin L

2016-01-01

The offshore exploration and production (E&P) industry requires comprehensive and accurate ocean acoustic models for determining the exposure of marine life to the high levels of sound used in seismic surveys and other E&P activities. This paper reviews the types of acoustic models most useful for predicting the propagation of undersea noise sources and describes current exposure models. The severe problems caused by model sensitivity to the uncertainty in the environment are highlighted to support the conclusion that it is vital that risk assessments include transmission loss estimates with statistical measures of confidence.

Tourscape: A systematic approach towards a sustainable rural tourism management

NASA Astrophysics Data System (ADS)

Lo, M. C.; Wang, Y. C.; Songan, P.; Yeo, A. W.

2014-02-01

Tourism plays an important role in the Malaysian economy as it is considered to be one of the corner stones of the country's economy. The purpose of this research is to conduct an analysis based on the existing tourism industry in rural tourism destinations in Malaysia by examining the impact of economics, environmental, social and cultural factors of the tourism industry on the local communities in Malaysia. 516 respondents comprising of tourism stakeholders from 34 rural tourism sites in Malaysia took part voluntarily in this study. To assess the developed model, SmartPLS 2.0 (M3) was applied based on path modeling and then bootstrapping with 200 re-samples was applied to generate the standard error of the estimate and t-values. Subsequently, a system named Tourscape was designed to manage the information. This system can be considered as a benchmark for tourism industry stakeholders as it is able to display the current situational analysis and the tourism health of selected tourism destination sites by capturing data and information, not only from local communities but industry players and tourists as well. The findings from this study revealed that the cooperation from various stakeholders has created significant impact on the development of rural tourism.

BBMRI-ERIC as a resource for pharmaceutical and life science industries: the development of biobank-based Expert Centres.

PubMed

van Ommen, Gert-Jan B; Törnwall, Outi; Bréchot, Christian; Dagher, Georges; Galli, Joakim; Hveem, Kristian; Landegren, Ulf; Luchinat, Claudio; Metspalu, Andres; Nilsson, Cecilia; Solesvik, Ove V; Perola, Markus; Litton, Jan-Eric; Zatloukal, Kurt

2015-07-01

Biological resources (cells, tissues, bodily fluids or biomolecules) are considered essential raw material for the advancement of health-related biotechnology, for research and development in life sciences, and for ultimately improving human health. Stored in local biobanks, access to the human biological samples and related medical data for transnational research is often limited, in particular for the international life science industry. The recently established pan-European Biobanking and BioMolecular resources Research Infrastructure-European Research Infrastructure Consortium (BBMRI-ERIC) aims to improve accessibility and interoperability between academic and industrial parties to benefit personalized medicine, disease prevention to promote development of new diagnostics, devices and medicines. BBMRI-ERIC is developing the concept of Expert Centre as public-private partnerships in the precompetitive, not-for-profit field to provide a new structure to perform research projects that would face difficulties under currently established models of academic-industry collaboration. By definition, Expert Centres are key intermediaries between public and private sectors performing the analysis of biological samples under internationally standardized conditions. This paper presents the rationale behind the Expert Centres and illustrates the novel concept with model examples.

BBMRI-ERIC as a resource for pharmaceutical and life science industries: the development of biobank-based Expert Centres

PubMed Central

van Ommen, Gert-Jan B; Törnwall, Outi; Bréchot, Christian; Dagher, Georges; Galli, Joakim; Hveem, Kristian; Landegren, Ulf; Luchinat, Claudio; Metspalu, Andres; Nilsson, Cecilia; Solesvik, Ove V; Perola, Markus; Litton, Jan-Eric; Zatloukal, Kurt

2015-01-01

Biological resources (cells, tissues, bodily fluids or biomolecules) are considered essential raw material for the advancement of health-related biotechnology, for research and development in life sciences, and for ultimately improving human health. Stored in local biobanks, access to the human biological samples and related medical data for transnational research is often limited, in particular for the international life science industry. The recently established pan-European Biobanking and BioMolecular resources Research Infrastructure-European Research Infrastructure Consortium (BBMRI-ERIC) aims to improve accessibility and interoperability between academic and industrial parties to benefit personalized medicine, disease prevention to promote development of new diagnostics, devices and medicines. BBMRI-ERIC is developing the concept of Expert Centre as public–private partnerships in the precompetitive, not-for-profit field to provide a new structure to perform research projects that would face difficulties under currently established models of academic–industry collaboration. By definition, Expert Centres are key intermediaries between public and private sectors performing the analysis of biological samples under internationally standardized conditions. This paper presents the rationale behind the Expert Centres and illustrates the novel concept with model examples. PMID:25407005

Regulatory trends in the battery industry

NASA Astrophysics Data System (ADS)

McColl, K. G.

1994-02-01

The scope of regulations in the battery industry is extensive and also complex. In the future, regulations will become more demanding and will encompass issues not currently considered. Increased focus on environmental issues by government bodies, environmental groups, local communities will result in more strict compliance standards. The USA is currently leading the world's battery industries in the scope and compliance level of regulations. By studying trends in the USA, the rest of the battery industry can prepare itself for the future operating environment. This paper reviews the most critical areas of air pollution, blood-lead levels and recycling. The paper concludes that the battery industry must adopt a culture of exceeding current compliance standards.

Concordance between current job and usual job in occupational and industry groupings: assessment of the 2010 national health interview survey.

PubMed

Luckhaupt, Sara E; Cohen, Martha A; Calvert, Geoffrey M

2013-09-01

To determine whether current job is a reasonable surrogate for usual job. Data from the 2010 National Health Interview Survey were utilized to determine concordance between current and usual jobs for workers employed within the past year. Concordance was quantitated by kappa values for both simple and detailed industry and occupational groups. Good agreement is considered to be present when kappa values exceed 60. Overall kappa values ± standard errors were 74.5 ± 0.5 for simple industry, 72.4 ± 0.5 for detailed industry, 76.3 ± 0.4 for simple occupation, 73.7 ± 0.5 for detailed occupation, and 80.4 ± 0.6 for very broad occupational class. Sixty-five of 73 detailed industry groups and 78 of 81 detailed occupation groups evaluated had good agreement between current and usual jobs. Current job can often serve as a reliable surrogate for usual job in epidemiologic studies.

Concordance Between Current Job and Usual Job in Occupational and Industry Groupings

PubMed Central

Luckhaupt, Sara E.; Cohen, Martha A.; Calvert, Geoffrey M.

2015-01-01

Objective To determine whether current job is a reasonable surrogate for usual job. Methods Data from the 2010 National Health Interview Survey were utilized to determine concordance between current and usual jobs for workers employed within the past year. Concordance was quantitated by kappa values for both simple and detailed industry and occupational groups. Good agreement is considered to be present when kappa values exceed 60. Results Overall kappa values ± standard errors were 74.5 ± 0.5 for simple industry, 72.4 ± 0.5 for detailed industry, 76.3 ± 0.4 for simple occupation, 73.7 ± 0.5 for detailed occupation, and 80.4 ± 0.6 for very broad occupational class. Sixty-five of 73 detailed industry groups and 78 of 81 detailed occupation groups evaluated had good agreement between current and usual jobs. Conclusions Current job can often serve as a reliable surrogate for usual job in epidemiologic studies. PMID:23969506

The service industry strategy-A case study of tourism hotel in Taiwan

NASA Astrophysics Data System (ADS)

Lu, Chunwei; Huang, Jui-Chan; Wen, Hao-Ming; Hairui, Ji

2017-06-01

Regarding to raising living standard in Taiwan, service industry had stand more than 65% GDP and manufacturing is around 35% recently. The data from Council for Economic Planning and Development of Taiwan, in 2015, the service industry stand more than 73% of GDP, and the tourism industry has played one of the most important rules. In service industry, recently, the policy of Taiwan government encourages overseas tourists come to Taiwan for resort and it made many new tourism hotels built, and they also had to do the overall reform to satisfy their customers of global, especially respecting on Eastern Asia. In this study, experts and scholars in the fields of industry academia were interviewed. Survey were issued to the object companies and a comparative case study was conducted to analyze the influencing factors and extent to which differences on the competitive edge and strategies of Taiwan tourism hotels and those which benefit most or least from business operation current situation that conducted with governments' support and internal management. By primary data and literature reviews, this study hope that an effective reference for improving industrial competitiveness and models of competitiveness could be available for the governments and the companies.

Understanding BIM Adoption in the AEC Industry: The Case of Jordan

NASA Astrophysics Data System (ADS)

Btoush, M.; Haron, AT

2017-11-01

Building information modelling (BIM) is a new and powerful technology implemented by many countries. The construction industry in Jordan plays a vital role and contributes immensely to the economic growth and development. In order to boost the industry and the economy, many industry players including engineers and contractors have recommended the implementation of BIM in Jordan. However, research demonstrates that successful BIM implementation is possible through the awareness of the different levels of BIM, which is a basic precondition for BIM implementation. Without a clear understanding of BIM, many companies would be unable to fully achieve BIM potentials or implement BIM in their building lifecycle. The objective of this study is to assess the current awareness of BIM technology in the Jordanian construction industry. A field interviews were conducted and 15 responses were collected and. The findings indicate that a significant proportion of respondents have little or no understanding of the concept of BIM. Also, the usage was found to be very low. Based on the results, a holistic roadmap was developed to spread the BIM adoption through the Jordanian construction industry. It is expected that this roadmap would lead to a better understanding and enable the industry towards more extensive implementation of BIM.

Building a comprehensive mill-level database for the Industrial Sectors Integrated Solutions (ISIS) model of the U.S. pulp and paper sector.

PubMed

Modak, Nabanita; Spence, Kelley; Sood, Saloni; Rosati, Jacky Ann

2015-01-01

Air emissions from the U.S. pulp and paper sector have been federally regulated since 1978; however, regulations are periodically reviewed and revised to improve efficiency and effectiveness of existing emission standards. The Industrial Sectors Integrated Solutions (ISIS) model for the pulp and paper sector is currently under development at the U.S. Environmental Protection Agency (EPA), and can be utilized to facilitate multi-pollutant, sector-based analyses that are performed in conjunction with regulatory development. The model utilizes a multi-sector, multi-product dynamic linear modeling framework that evaluates the economic impact of emission reduction strategies for multiple air pollutants. The ISIS model considers facility-level economic, environmental, and technical parameters, as well as sector-level market data, to estimate the impacts of environmental regulations on the pulp and paper industry. Specifically, the model can be used to estimate U.S. and global market impacts of new or more stringent air regulations, such as impacts on product price, exports and imports, market demands, capital investment, and mill closures. One major challenge to developing a representative model is the need for an extensive amount of data. This article discusses the collection and processing of data for use in the model, as well as the methods used for building the ISIS pulp and paper database that facilitates the required analyses to support the air quality management of the pulp and paper sector.

Building a Comprehensive Mill-Level Database for the Industrial Sectors Integrated Solutions (ISIS) Model of the U.S. Pulp and Paper Sector

PubMed Central

Modak, Nabanita; Spence, Kelley; Sood, Saloni; Rosati, Jacky Ann

2015-01-01

Air emissions from the U.S. pulp and paper sector have been federally regulated since 1978; however, regulations are periodically reviewed and revised to improve efficiency and effectiveness of existing emission standards. The Industrial Sectors Integrated Solutions (ISIS) model for the pulp and paper sector is currently under development at the U.S. Environmental Protection Agency (EPA), and can be utilized to facilitate multi-pollutant, sector-based analyses that are performed in conjunction with regulatory development. The model utilizes a multi-sector, multi-product dynamic linear modeling framework that evaluates the economic impact of emission reduction strategies for multiple air pollutants. The ISIS model considers facility-level economic, environmental, and technical parameters, as well as sector-level market data, to estimate the impacts of environmental regulations on the pulp and paper industry. Specifically, the model can be used to estimate U.S. and global market impacts of new or more stringent air regulations, such as impacts on product price, exports and imports, market demands, capital investment, and mill closures. One major challenge to developing a representative model is the need for an extensive amount of data. This article discusses the collection and processing of data for use in the model, as well as the methods used for building the ISIS pulp and paper database that facilitates the required analyses to support the air quality management of the pulp and paper sector. PMID:25806516

Perturbations of the magnetic induction in a bubbly liquid metal flow

NASA Astrophysics Data System (ADS)

Guichou, Rafael; Tordjeman, Philippe; Bergez, Wladimir; Zamansky, Remi; Paumel, Kevin

2017-11-01

The presence of bubbles in liquid metal flow subject to AC magnetic field modifies the distribution of eddy currents in the fluid. This situation is encountered in metallurgy and nuclear industry for Sodium Fast Reactors. We will show that the perturbation of the eddy currents can be measured by an Eddy Current Flowmeter coupled with a lock-in amplifier. The experiments point out that the demodulated signal allows to detect the presence of a single bubble in the flow. The signal is sensitive both to the diameter and the relative position of the bubble. Then, we will present a model of a potential perturbation of the current density caused by a bubble and the distortion of the magnetic field. The eddy current distribution is calculated from the induction equation. This model is derived from a potential flow around a spherical particle. The total vector potential is the sum of the vector potential in the liquid metal flow without bubbles and the perturbated vector potential due to the presence of a bubble. The model is then compared to the experimental measurements realized with the eddy current flow meter for various bubble diameters in galinstan. The very good agreement between model and experiments validates the relevance of the perturbative approach.

Financial Comparisons across Different Business Models in the Canadian Airline Industry

NASA Technical Reports Server (NTRS)

Flouris, Triant; Walker, Thomas

2007-01-01

This paper examines the accounting and stock price performance of two Canadian airlines, WestJet and Air Canada, over a five year period, taking into account the aftermath of the systemic shock to the airline industry produced by the September 11, 2001 (9-11), terrorist attacks and subsequent events such as the 2002 SARS outbreak, the wars in Afghanistan and Iraq, and the accompanying rise in jet fuel prices. Our study focuses on the viability of low-cost versus conventional-cost business models in Canada under the current business environment and the ability of airlines to withstand and effectively respond to catastrophic industry events. Furthermore, we link the effectiveness of the airlines responses to these events to specific elements of their respective business models. We test our hypothesis through a case study. We focus on WestJet as a typical low-cost airline and compare its accounting and stock performance to Air Canada, a legacy carrier and rival in several business sectors. We find WestJet to be much less affected by catastrophic industry events. By decomposing each airline s return volatility, we observe that WestJet s systematic and unsystematic risk increased only slightly during the industry's post-9-11 turmoil when compared to Air Canada. In addition, we find that both WestJet s accounting and stock performance have been highly superior to those of Air Canada. We argue that WestJet s business model provides the firm with significantly more financial and operational flexibility than its legacy rival, Air Canada. WestJet's lower operating costs, high consumer trust, product offering, corporate structure, workforce and work practices, as well as operational procedures are all factors that appear to contribute to its relative success.

Development of Millimeter-Wave Velocimetry and Acoustic Time-of-Flight Tomography for Measurements in Densely Loaded Gas-Solid Riser Flow

DOE Office of Scientific and Technical Information (OSTI.GOV)

Fort, James A.; Pfund, David M.; Sheen, David M.

2007-04-01

The MFDRC was formed in 1998 to advance the state-of-the-art in simulating multiphase turbulent flows by developing advanced computational models for gas-solid flows that are experimentally validated over a wide range of industrially relevant conditions. The goal was to transfer the resulting validated models to interested US commercial CFD software vendors, who would then propagate the models as part of new code versions to their customers in the US chemical industry. Since the lack of detailed data sets at industrially relevant conditions is the major roadblock to developing and validating multiphase turbulence models, a significant component of the work involvedmore » flow measurements on an industrial-scale riser contributed by Westinghouse, which was subsequently installed at SNL. Model comparisons were performed against these datasets by LANL. A parallel Office of Industrial Technology (OIT) project within the consortium made similar comparisons between riser measurements and models at NETL. Measured flow quantities of interest included volume fraction, velocity, and velocity-fluctuation profiles for both gas and solid phases at various locations in the riser. Some additional techniques were required for these measurements beyond what was currently available. PNNL’s role on the project was to work with the SNL experimental team to develop and test two new measurement techniques, acoustic tomography and millimeter-wave velocimetry. Acoustic tomography is a promising technique for gas-solid flow measurements in risers and PNNL has substantial related experience in this area. PNNL is also active in developing millimeter wave imaging techniques, and this technology presents an additional approach to make desired measurements. PNNL supported the advanced diagnostics development part of this project by evaluating these techniques and then by adapting and developing the selected technology to bulk gas-solids flows and by implementing them for testing in the SNL riser testbed.« less

The Role of the Food Industry in Obesity Prevention.

PubMed

Binks, Martin

2016-06-01

Obesity is a complex disease of diverse etiology. Among the potential influences in the development of obesity, the food supply chain remains an important influence. We provide a conceptual overview related to the food industry's role in obesity prevention. We first discuss some limitations of current public health efforts. We then describe how a model that attends to personal autonomy in the context of supportive policy intervention can empower individuals in their efforts to navigate the food supply chain. We then provide an evidence informed overview of key areas where continued efforts to collaboratively engage the food industry, through solution-focused dialogue and action, have the potential to contribute to obesity prevention. While challenging, appropriately transparent, well-governed public-private partnerships have the demonstrated potential to benefit the communities we serve.

Electricity Market Manipulation: How Behavioral Modeling Can Help Market Design

DOE Office of Scientific and Technical Information (OSTI.GOV)

Gallo, Giulia

The question of how to best design electricity markets to integrate variable and uncertain renewable energy resources is becoming increasingly important as more renewable energy is added to electric power systems. Current markets were designed based on a set of assumptions that are not always valid in scenarios of high penetrations of renewables. In a future where renewables might have a larger impact on market mechanisms as well as financial outcomes, there is a need for modeling tools and power system modeling software that can provide policy makers and industry actors with more realistic representations of wholesale markets. One optionmore » includes using agent-based modeling frameworks. This paper discusses how key elements of current and future wholesale power markets can be modeled using an agent-based approach and how this approach may become a useful paradigm that researchers can employ when studying and planning for power systems of the future.« less

Construction and Operation Costs of Wastewater Treatment and Implications for the Paper Industry in China.

PubMed

Niu, Kunyu; Wu, Jian; Yu, Fang; Guo, Jingli

2016-11-15

This paper aims to develop a construction and operation cost model of wastewater treatment for the paper industry in China and explores the main factors that determine these costs. Previous models mainly involved factors relating to the treatment scale and efficiency of treatment facilities for deriving the cost function. We considered the factors more comprehensively by adding a regional variable to represent the economic development level, a corporate ownership factor to represent the plant characteristics, a subsector variable to capture pollutant characteristics, and a detailed-classification technology variable. We applied a unique data set from a national pollution source census for the model simulation. The major findings include the following: (1) Wastewater treatment costs in the paper industry are determined by scale, technology, degree of treatment, ownership, and regional factors; (2) Wastewater treatment costs show a large decreasing scale effect; (3) The current level of pollutant discharge fees is far lower than the marginal treatment costs for meeting the wastewater discharge standard. Key implications are as follows: (1) Cost characteristics and impact factors should be fully recognized when planning or making policies relating to wastewater treatment projects or technology development; (2) There is potential to reduce treatment costs by centralizing wastewater treatment via industrial parks; (3) Wastewater discharge fee rates should be increased; (4) Energy efficient technology should become the future focus of wastewater treatment.

Asthma Among Employed Adults, by Industry and Occupation - 21 States, 2013.

PubMed

Dodd, Katelynn E; Mazurek, Jacek M

2016-12-02

Workers in various industries and occupations are at risk for work-related asthma* (1). Data from the 2006-2007 adult Behavioral Risk Factor Surveillance System (BRFSS) Asthma Call-back Survey (ACBS), an in-depth asthma survey conducted with respondents who report an asthma diagnosis, from 33 states indicated that up to 48% of adult current asthma might be related to work and could therefore potentially be prevented (2). Identification of the industries and occupations with increased prevalence of asthma might inform work-related asthma intervention and prevention efforts. To assess the industry-specific and occupation-specific proportions of adults with current asthma by state, CDC analyzed data from the 2013 BRFSS industry and occupation module, collected from 21 states for participants aged ≥18 years who, at the time of the survey interview, were employed or had been out of work for <12 months. Among these respondents, 7.7% had current asthma; based on the Asthma Call-back Survey results, this finding means as many as 2.7 million U.S. workers might have asthma caused by or exacerbated by workplace conditions. State-specific variations in the prevalence of current asthma by industry and occupation were observed. By state, current asthma prevalence was highest among workers in the information industry (18.0%) in Massachusetts and in health care support occupations (21.5%) in Michigan. Analysis of BRFSS industry and occupation and optional asthma modules can be used to identify industries and occupations to assess for asthma among workers, identify workplace exposures, and guide the design and evaluation of effective work-related asthma prevention and education programs (1).

New drug adoption models: a review and assessment of future needs.

PubMed

Agrawal, M; Calantone, R J

1995-01-01

New drug products today are the key to survival in the pharmaceutical industry. However, the new product development process in the pharmaceutical industry also happens to be one of the riskiest and most expensive undertakings because of the huge research and development costs involved. Consequently market forecasting of new pharmaceutical products takes on added importance if the formidable investments are to be recovered. New drug adoption models provide the marketer with a means to assess new product potential. Although several adoption models are available in the marketing literature for assessing potential of common consumer goods, the unique characteristics of the prescription drug market makes it necessary to examine the current state of pharmaceutical innovations. The purpose of this study, therefore, is to: (1) review new drug adoption models in the pharmaceutical literature, (2) evaluate the existing models of new drug adoption using the ten criteria for a good model as prescribed by Zaltman and Wallendorf (1983), and (3) provide an overall assessment and a ¿prescription¿ for better forecasting of new drug products.

Assessing consumer responses to potential reduced-exposure tobacco products: a review of tobacco industry and independent research methods.

PubMed

Rees, Vaughan W; Kreslake, Jennifer M; Cummings, K Michael; O'Connor, Richard J; Hatsukami, Dorothy K; Parascandola, Mark; Shields, Peter G; Connolly, Gregory N

2009-12-01

Internal tobacco industry documents and the mainstream literature are reviewed to identify methods and measures for evaluating tobacco consumer response. The review aims to outline areas in which established methods exist, identify gaps in current methods for assessing consumer response, and consider how these methods might be applied to evaluate potentially reduced exposure tobacco products and new products. Internal industry research reviewed included published articles, manuscript drafts, presentations, protocols, and instruments relating to consumer response measures were identified and analyzed. Peer-reviewed research was identified using PubMed and Scopus. Industry research on consumer response focuses on product development and marketing. To develop and refine new products, the tobacco industry has developed notable strategies for assessing consumers' sensory and subjective responses to product design characteristics. Independent research is often conducted to gauge the likelihood of future product adoption by measuring consumers' risk perceptions, responses to product, and product acceptability. A model that conceptualizes consumer response as comprising the separate, but interacting, domains of product perceptions and response to product is outlined. Industry and independent research supports the dual domain model and provides a wide range of methods for assessment of the construct components of consumer response. Further research is needed to validate consumer response constructs, determine the relationship between consumer response and tobacco user behavior, and improve reliability of consumer response measures. Scientifically rigorous consumer response assessment methods will provide a needed empirical basis for future regulation of potentially reduced-exposure tobacco products and new products, to counteract tobacco industry influence on consumers, and enhance the public health.

Assessing Consumer Responses to PREPs: A Review of Tobacco Industry and Independent Research Methods

PubMed Central

Rees, Vaughan W.; Kreslake, Jennifer M.; Cummings, K. Michael; O'Connor, Richard J.; Hatsukami, Dorothy K.; Parascandola, Mark; Shields, Peter G.; Connolly, Gregory N.

2009-01-01

Objective Internal tobacco industry documents and the mainstream literature are reviewed to identify methods and measures for evaluating tobacco consumer response. The review aims to outline areas in which established methods exist, identify gaps in current methods for assessing CR, and consider how these methods might be applied to evaluate PREPs and new products. Methods Internal industry research reviewed included published papers, manuscript drafts, presentations, protocols, and instruments relating to consumer response measures were identified and analyzed. Peer-reviewed research was identified using PubMed and Scopus. Results Industry research on consumer response focuses on product development and marketing. To develop and refine new products, the tobacco industry has developed notable strategies for assessing consumers' sensory and subjective responses to product design characteristics. Independent research is often conducted to gauge the likelihood of future product adoption by measuring consumers' risk perceptions, responses to product, and product acceptability. Conclusions A model which conceptualizes consumer response as comprising the separate, but interacting domains of product perceptions and response to product is outlined. Industry and independent research supports the dual domain model, and provides a wide range of methods for assessment of the construct components of consumer response. Further research is needed to validate consumer response constructs, determine the relationship between consumer response and tobacco user behavior, and improve reliability of consumer response measures. Scientifically rigorous consumer response assessment methods will provide a needed empirical basis for future regulation of PREPs and new products, to counteract tobacco industry influence on consumers, and enhance the public health. PMID:19959675

Developing a new model for the invention and translation of neurotechnologies in academic neurosurgery.

PubMed

Leuthardt, Eric C

2013-01-01

There is currently an acceleration of new scientific and technical capabilities that create new opportunities for academic neurosurgery. To engage these changing dynamics, the Center for Innovation in Neuroscience and Technology (CINT) was created on the premise that successful innovation of device-related ideas relies on collaboration between multiple disciplines. The CINT has created a unique model that integrates scientific, medical, engineering, and legal/business experts to participate in the continuum from idea generation to translation. To detail the method by which this model has been implemented in the Department of Neurological Surgery at Washington University in St. Louis and the experience that has been accrued thus far. The workflow is structured to enable cross-disciplinary interaction, both intramurally and extramurally between academia and industry. This involves a structured method for generating, evaluating, and prototyping promising device concepts. The process begins with the "invention session," which consists of a structured exchange between inventors from diverse technical and medical backgrounds. Successful ideas, which pass a separate triage mechanism, are then sent to industry-sponsored multidisciplinary fellowships to create functioning prototypes. After 3 years, the CINT has engaged 32 clinical and nonclinical inventors, resulting in 47 ideas, 16 fellowships, and 12 patents, for which 7 have been licensed to industry. Financial models project that if commercially successful, device sales could have a notable impact on departmental revenue. The CINT is a model that supports an integrated approach from the time an idea is created through its translational development. To date, the approach has been successful in creating numerous concepts that have led to industry licenses. In the long term, this model will create a novel revenue stream to support the academic neurosurgical mission.

Energy efficient industrial technology in Europe: A compendium

NASA Astrophysics Data System (ADS)

Fassbender, A. G.; McGee, M. J.

1982-05-01

Energy efficient industrial technologies currently in use in Europe are described. Gas-fired equipment in West Germany, France, and the United Kingdom is emphasized. Some of these technologies are unique and some are currently available in the United States. Load management, cogeneration, heat recovery, and various industrial processes are discussed.

Results of research on development of an intellectual information system of bankruptcy risk assessment of the enterprise

NASA Astrophysics Data System (ADS)

Telipenko, E.; Chernysheva, T.; Zakharova, A.; Dumchev, A.

2015-10-01

The article represents research results about the knowledge base development for the intellectual information system for the bankruptcy risk assessment of the enterprise. It is described the process analysis of the knowledge base development; the main process stages, some problems and their solutions are given. The article introduces the connectionist model for the bankruptcy risk assessment based on the analysis of industrial enterprise financial accounting. The basis for this connectionist model is a three-layer perceptron with the back propagation of error algorithm. The knowledge base for the intellectual information system consists of processed information and the processing operation method represented as the connectionist model. The article represents the structure of the intellectual information system, the knowledge base, and the information processing algorithm for neural network training. The paper shows mean values of 10 indexes for industrial enterprises; with the help of them it is possible to carry out a financial analysis of industrial enterprises and identify correctly the current situation for well-timed managerial decisions. Results are given about neural network testing on the data of both bankrupt and financially strong enterprises, which were not included into training and test sets.

Next Generation Learning: Transforming the Role of Educators Today for the Students of Tomorrow. The Report of the NASBE Study Group on Developing the 21st Century Educator

ERIC Educational Resources Information Center

National Association of State Boards of Education, 2010

2010-01-01

The current education model in the United States, a relic of the Industrial Age, is increasingly out of touch with the needs of society and the students it serves. The traditional model of education--where a teacher imparts knowledge to students through lecture and students recite memorized facts and solve fundamental math and science problems to…

Advances in modelling of condensation phenomena

DOE Office of Scientific and Technical Information (OSTI.GOV)

Liu, W.S.; Zaltsgendler, E.; Hanna, B.

1997-07-01

The physical parameters in the modelling of condensation phenomena in the CANDU reactor system codes are discussed. The experimental programs used for thermal-hydraulic code validation in the Canadian nuclear industry are briefly described. The modelling of vapour generation and in particular condensation plays a key role in modelling of postulated reactor transients. The condensation models adopted in the current state-of-the-art two-fluid CANDU reactor thermal-hydraulic system codes (CATHENA and TUF) are described. As examples of the modelling challenges faced, the simulation of a cold water injection experiment by CATHENA and the simulation of a condensation induced water hammer experiment by TUFmore » are described.« less

Future supply chains enabled by continuous processing--opportunities and challenges. May 20-21, 2014 Continuous Manufacturing Symposium.

PubMed

Srai, Jagjit Singh; Badman, Clive; Krumme, Markus; Futran, Mauricio; Johnston, Craig

2015-03-01

This paper examines the opportunities and challenges facing the pharmaceutical industry in moving to a primarily "continuous processing"-based supply chain. The current predominantly "large batch" and centralized manufacturing system designed for the "blockbuster" drug has driven a slow-paced, inventory heavy operating model that is increasingly regarded as inflexible and unsustainable. Indeed, new markets and the rapidly evolving technology landscape will drive more product variety, shorter product life-cycles, and smaller drug volumes, which will exacerbate an already unsustainable economic model. Future supply chains will be required to enhance affordability and availability for patients and healthcare providers alike despite the increased product complexity. In this more challenging supply scenario, we examine the potential for a more pull driven, near real-time demand-based supply chain, utilizing continuous processing where appropriate as a key element of a more "flow-through" operating model. In this discussion paper on future supply chain models underpinned by developments in the continuous manufacture of pharmaceuticals, we have set out; The significant opportunities to moving to a supply chain flow-through operating model, with substantial opportunities in inventory reduction, lead-time to patient, and radically different product assurance/stability regimes. Scenarios for decentralized production models producing a greater variety of products with enhanced volume flexibility. Production, supply, and value chain footprints that are radically different from today's monolithic and centralized batch manufacturing operations. Clinical trial and drug product development cost savings that support more rapid scale-up and market entry models with early involvement of SC designers within New Product Development. The major supply chain and industrial transformational challenges that need to be addressed. The paper recognizes that although current batch operational performance in pharma is far from optimal and not necessarily an appropriate end-state benchmark for batch technology, the adoption of continuous supply chain operating models underpinned by continuous production processing, as full or hybrid solutions in selected product supply chains, can support industry transformations to deliver right-first-time quality at substantially lower inventory profiles. © 2015 Wiley Periodicals, Inc. and the American Pharmacists Association.

International trade inoperability input-output model (IT-IIM): theory and application.

PubMed

Jung, Jeesang; Santos, Joost R; Haimes, Yacov Y

2009-01-01

The inoperability input-output model (IIM) has been used for analyzing disruptions due to man-made or natural disasters that can adversely affect the operation of economic systems or critical infrastructures. Taking economic perturbation for each sector as inputs, the IIM provides the degree of economic production impacts on all industry sectors as the outputs for the model. The current version of the IIM does not provide a separate analysis for the international trade component of the inoperability. If an important port of entry (e.g., Port of Los Angeles) is disrupted, then international trade inoperability becomes a highly relevant subject for analysis. To complement the current IIM, this article develops the International Trade-IIM (IT-IIM). The IT-IIM investigates the resulting international trade inoperability for all industry sectors resulting from disruptions to a major port of entry. Similar to traditional IIM analysis, the inoperability metrics that the IT-IIM provides can be used to prioritize economic sectors based on the losses they could potentially incur. The IT-IIM is used to analyze two types of direct perturbations: (1) the reduced capacity of ports of entry, including harbors and airports (e.g., a shutdown of any port of entry); and (2) restrictions on commercial goods that foreign countries trade with the base nation (e.g., embargo).

Current Standardization and Cooperative Efforts Related to Industrial Information Infrastructures.

DTIC Science & Technology

1993-05-01

Data Management Systems: Components used to store, manage, and retrieve data. Data management includes knowledge bases, database management...Application Development Tools and Methods X/Open and POSIX APIs Integrated Design Support System (IDS) Knowledge -Based Systems (KBS) Application...IDEFlx) Yourdon Jackson System Design (JSD) Knowledge -Based Systems (KBSs) Structured Systems Development (SSD) Semantic Unification Meta-Model

Developing an Energy Performance Modeling Startup Kit

DOE Office of Scientific and Technical Information (OSTI.GOV)

none,

2012-10-01

In 2011, the NAHB Research Center began assessing the needs and motivations of residential remodelers regarding energy performance remodeling. This report outlines: the current remodeling industry and the role of energy efficiency; gaps and barriers to adding energy efficiency into remodeling; and support needs of professional remodelers to increase sales and projects involving improving home energy efficiency.

Development of a Career-Oriented Instructional Design Model for Game Programming

ERIC Educational Resources Information Center

Wu, Penn Pinlung

2012-01-01

This dissertation proposal begins with a discussion about how the education of game programmers was not meeting the needs of the game industry. With this problem identified, this study proceeded to verify the existence of disparities of current game programming curricula. The findings from the literature review were able to: (a) justify the need…

Prognostics Uncertainty Management with Application to Government and Industry

NASA Technical Reports Server (NTRS)

Celaya, Jose; Sankararaman, Shankar; Daigle, Matthew; Saxena, Abhinav; Goebel, Kai

2014-01-01

Predictions about the future are contingent on future usage, but also on the quality of the models employed and the assessment of the current health state. These factors, amongst others, need to be considered to arrive at a prediction that is conducted through a rigorous method but where the confidence bounds are not prohibitively large.

The Audio-Visual Equipment Directory; Twenty-Second Edition, 1976-1977.

ERIC Educational Resources Information Center

Herickes, Sally, Ed.

Over 2,000 currently available items are listed in the 1976-1977 Audio-Visual Equipment Directory with specifications on price, model, weight, capacity, accessories, and technical details. Charts for screen size, lists of film and tape running times, an index to industry trade names, and a directory of equipment manufacturers are also provided.…

Omics on bioleaching: current and future impacts.

PubMed

Martinez, Patricio; Vera, Mario; Bobadilla-Fazzini, Roberto A

2015-10-01

Bioleaching corresponds to the microbial-catalyzed process of conversion of insoluble metals into soluble forms. As an applied biotechnology globally used, it represents an extremely interesting field of research where omics techniques can be applied in terms of knowledge development, but moreover in terms of process design, control, and optimization. In this mini-review, the current state of genomics, proteomics, and metabolomics of bioleaching and the major impacts of these analytical methods at industrial scale are highlighted. In summary, genomics has been essential in the determination of the biodiversity of leaching processes and for development of conceptual and functional metabolic models. Proteomic impacts are mostly related to microbe-mineral interaction analysis, including copper resistance and biofilm formation. Early steps of metabolomics in the field of bioleaching have shown a significant potential for the use of metabolites as industrial biomarkers. Development directions are given in order to enhance the future impacts of the omics in biohydrometallurgy.

Deconstructing the Drug Development Process: The New Face of Innovation

PubMed Central

Kaitin, KI

2010-01-01

Forged in the early 1960s, the paradigm for pharmaceutical innovation has remained virtually unchanged for nearly 50 years. During a period when most other research-based industries have made frequent and often sweeping modifications to their R&D processes, the pharmaceutical sector continues to utilize a drug development process that is slow, inefficient, risky, and expensive. Few who work in or follow the activities of the pharmaceutical industry question whether change is coming. They know that the pharmaceutical sector, as currently structured, is unable to deliver enough new products to market to generate revenues sufficient to sustain its own growth. Nearly all major drug developers are critically examining current R&D practices and, in some cases, considering a radical overhaul of their R&D models. But key questions remain. What will the landscape for pharmaceutical innovation look like in the future? And, who will develop tomorrow’s medicines? PMID:20130565

A Mathematical Model of Neonatal Rat Atrial Monolayers with Constitutively Active Acetylcholine-Mediated K+ Current

PubMed Central

Majumder, Rupamanjari; Jangsangthong, Wanchana; Feola, Iolanda; Ypey, Dirk L.; Pijnappels, Daniël A.; Panfilov, Alexander V.

2016-01-01

Atrial fibrillation (AF) is the most frequent form of arrhythmia occurring in the industrialized world. Because of its complex nature, each identified form of AF requires specialized treatment. Thus, an in-depth understanding of the bases of these arrhythmias is essential for therapeutic development. A variety of experimental studies aimed at understanding the mechanisms of AF are performed using primary cultures of neonatal rat atrial cardiomyocytes (NRAMs). Previously, we have shown that the distinct advantage of NRAM cultures is that they allow standardized, systematic, robust re-entry induction in the presence of a constitutively-active acetylcholine-mediated K+ current (IKACh-c). Experimental studies dedicated to mechanistic explorations of AF, using these cultures, often use computer models for detailed electrophysiological investigations. However, currently, no mathematical model for NRAMs is available. Therefore, in the present study we propose the first model for the action potential (AP) of a NRAM with constitutively-active acetylcholine-mediated K+ current (IKACh-c). The descriptions of the ionic currents were based on patch-clamp data obtained from neonatal rats. Our monolayer model closely mimics the action potential duration (APD) restitution and conduction velocity (CV) restitution curves presented in our previous in vitro studies. In addition, the model reproduces the experimentally observed dynamics of spiral wave rotation, in the absence and in the presence of drug interventions, and in the presence of localized myofibroblast heterogeneities. PMID:27332890

A techno-economic model for optimum regeneration of surface mined land

NASA Astrophysics Data System (ADS)

Mukhopadhyay, Manas K.; Sinha, Indra N.

2006-07-01

The recent global scenario in the mineral sector may be characterized by rising competitiveness, increasing production costs and a slump in market price. This has pushed the mineral sector in general and that in the developing countries in particular to a situation where the industry has a limited capacity to sustain unproductive costs. This, more often than not, results in a situation where the industry fails to ensure environmental safeguards during and after mineral extraction. The situation is conspicuous in the Indian coal mining industry where more than 73% production comes from surface operations. India has an ambitious power augmentation projection for the coming 10 years. A phenomenal increase in coal production is proposed from the power grade coalfields in India. One of the most likely fall-outs of land degradation due to mining in these areas would be significant reduction of agricultural and other important land-uses. Currently, backfilling costs are perceived as prohibitive and abandonment of land is the easy way out. This study attempts to provide mine planners with a mathematical model that distributes generated overburden at defined disposal options while ensuring maximization of backfilled land area at minimum direct and economic costs. Optimization has been accomplished by linear programming (LP) for optimum distribution of each year’s generated overburden. Previous year’s disposal quantity outputs are processed as one set of the inputs to the LP model for generation of current year’s disposal output. From various geo-mining inputs, site constants of the LP constraints are calculated. Arrived value of economic vectors, which guide the programming statement, decides the optimal overburden distribution in defined options. The case example (with model test run) indicates that overburden distribution is significantly sensitive to coal seam gradient. The model has universal applicability to cyclic system (shovel dumper combination) of opencast mining of stratified deposits.

Constraint-based modeling in microbial food biotechnology

PubMed Central

Rau, Martin H.

2018-01-01

Genome-scale metabolic network reconstruction offers a means to leverage the value of the exponentially growing genomics data and integrate it with other biological knowledge in a structured format. Constraint-based modeling (CBM) enables both the qualitative and quantitative analyses of the reconstructed networks. The rapid advancements in these areas can benefit both the industrial production of microbial food cultures and their application in food processing. CBM provides several avenues for improving our mechanistic understanding of physiology and genotype–phenotype relationships. This is essential for the rational improvement of industrial strains, which can further be facilitated through various model-guided strain design approaches. CBM of microbial communities offers a valuable tool for the rational design of defined food cultures, where it can catalyze hypothesis generation and provide unintuitive rationales for the development of enhanced community phenotypes and, consequently, novel or improved food products. In the industrial-scale production of microorganisms for food cultures, CBM may enable a knowledge-driven bioprocess optimization by rationally identifying strategies for growth and stability improvement. Through these applications, we believe that CBM can become a powerful tool for guiding the areas of strain development, culture development and process optimization in the production of food cultures. Nevertheless, in order to make the correct choice of the modeling framework for a particular application and to interpret model predictions in a biologically meaningful manner, one should be aware of the current limitations of CBM. PMID:29588387

Modeling Natural Attenuation of an Industrial Facility in Houston

NASA Astrophysics Data System (ADS)

Sun, D.

2016-12-01

Groundwater monitoring is currently ongoing at a commercial/industrial facility located in Deer Park, Texas (the site). The subject site is an approximate 10 acre commercial/industrial facility that began operation in the late-1970s. Operations have historically consisted of vehicle maintenance services, administrative, and equipment storage. Assessment and groundwater monitoring activities have been conducted at the site to evaluate the magnitude and extent of groundwater affected with chlorinated volatile organic compounds (VOCs). Groundwater data has been collected at this site since the mid-2000s on a quarterly basis. Presently, VOC constituents tetrachloroethene (PCE), trichloroethene (TCE), cis-1,2-dichloroethene (DCE), 1,1-dichloroethene (1,1-DCE), and vinyl chloride (VC) are the only chemicals of concern (COCs) detected at concentrations exceeding the TCEQ Actions Levels established by the state of Texas. The goal is that one day the site will receive a certificate of completion from the state, which states that all non-responsible parties are released from all liability to the state for cleanup. The remediation technology that is currently being used at this site is Monitoring Natural Attenuation (MNA). A significant question is whether MNA is efficiently removing COCs in groundwater and how long will this process take to achieve the remediation goals. The objective of this study is to provide an estimate of concentrations of COCs in groundwater at the site using the Biochlor model. The Biochlor model will help answer the question as to whether or not natural attenuation is occurring at the site efficiently. Results show that Monitored Natural Attenuation may not be the optimal remediation technology to use at this site. Other remedial technologies are needed to clean up chemical in the site. Groundwater monitoring is currently ongoing at a commercial/industrial facility located in Deer Park, Texas (the site). The subject site is an approximate 10 acre commercial/industrial facility that began operation in the late-1970s. Operations have historically consisted of vehicle maintenance services, administrative, and equipment storage. Assessment and groundwater monitoring activities have been conducted at the site to evaluate the magnitude and extent of groundwater affected with chlorinated volatile organic compounds (VOCs). Groundwater data has been collected at this site since the mid-2000s on a quarterly basis. Presently, VOC constituents tetrachloroethene (PCE), trichloroethene (TCE), cis-1,2-dichloroethene (DCE), 1,1-dichloroethene (1,1-DCE), and vinyl chloride (VC) are the only chemicals of concern (COCs) detected at concentrations exceeding the TCEQ Actions Levels established by the state of Texas. The goal is that one day the site will receive a certificate of completion from the state, which states that all non-responsible parties are released from all liability to the state for cleanup. The remediation technology that is currently being used at this site is Monitoring Natural Attenuation (MNA). A significant question is whether MNA is efficiently removing COCs in groundwater and how long will this process take to achieve the remediation goals. The objective of this study is to provide an estimate of concentrations of COCs in groundwater at the site using the Biochlor model. The Biochlor model will help answer the question as to whether or not natural attenuation is occurring at the site efficiently. Results show that Monitored Natural Attenuation may not be the optimal remediation technology to use at this site. Other remedial technologies are needed to clean up chemical in the site.

Applications of Technology, Currently Being Used in Business and Industry, to Education.

ERIC Educational Resources Information Center

Satterlee, Brian

Most educational institutions lag far behind business and industry in the adoption and use of technology. This paper explores the applications of technologies that are currently being used in business and industry, to education. The following technologies are reviewed: virtual learning, wireless networking, collaboration tools, digital video,…

Changing Manufacturing Technology and Jobs in Defense Industries.

ERIC Educational Resources Information Center

Oliver, Richard P.

1983-01-01

Provides information on the current status of computer-assisted manufacturing, current employment, and plans for new technology in three defense-related industries: aircraft, shipbuilding, and ordnance. (SK)

Advanced Communications Technology Satellite (ACTS) Experiments Program - A market-driven approach to government/industry cooperation

NASA Astrophysics Data System (ADS)

Olmstead, Dean A.; Schertler, Ronald R.; Randall, Laura A.

1992-03-01

The Advanced Communications Technology Satellite (ACTS), now under development and scheduled for launch in early 1993, is the current focus of NASA's commercial communications satellite program. The full power of the key technologies on ACTS can only be realized if industry assumes an active role in the conduct of experiments and demonstrations. This paper discusses the current market-driven rationale behind the ACTS Experiments Program activities aimed at getting industry involved - a rationale that addresses industry concerns and responds to industry inputs.

From franchise to state commission: Regulation of the electric utility industry, 1907 to 1932

NASA Astrophysics Data System (ADS)

Reutter, Keith Alan

1997-09-01

Empirical research into the effects of regulation on industry has been around since the early 1960s. Over the last thirty plus years a number of interesting results have been brought to the fore. For instance, it has been found that regulation of the trucking industry limits entry and increases prices. A similar result has been pointed to in other industries such as commercial airlines and banking. The effect of the state commission form of regulation on the electric utility industry has been less conclusive. State commissions became dominant during the period 1910-1930, replacing local franchising as a method of regulating the electric utility industry. Two competing theories suggest why this transformation took place, the "capture" and "public interest" theories of regulation. The capture theory of regulation suggests that the electric utility industry demanded state regulation as a way to earn above normal profits and reduce competition. The public interest theory suggests the purpose of regulation by state commissions was to benefit the general public by forcing the industry to be competitive. Few studies have tried to determine which theory more aptly describes the actual events that took place. The empirical model developed in Chapter V, is an extension of the current literature. A set of simultaneous equations describing the natural gas and electricity markets is estimated using cross-sectional time-series data from 1907 to 1932. The effect of regulation on the electric utility industry is modeled with a dummy variable taking on a value of one to designate that a state commission had been established. The results suggest the capture theory of regulation best describes the period under study. The empirical estimates indicate that state commissions (1) reduced the rate at which the real price of electricity was falling, (2) had a negative impact on firms entering the industry, (3) had a positive influence on the cost of producing a kwh of electricity, and (4) prevented industry profits from declining. This research adds to the existing literature on industry regulation in general, and specifically to the literature on the effects of regulation of the electric utility industry.

Alaska OCS socioeconomic studies program. Technical report number 30. Northern and western Gulf of Alaska petroleum development scenarios: commercial fishing industry analysis. Final report

DOE Office of Scientific and Technical Information (OSTI.GOV)

Terry, J.M.; Gorham, A.H.; Larson, D.M.

1980-02-01

The objective of the report is to increase our understanding of the potential relationships between the commercial fishing and Outer Continental Shelf (OCS) petroleum industries and to project the potential impacts on the commercial fishing industry of the Gulf of Alaska that may occur as a result of the proposed OCS lease sales No. 46 and No. 55. To meet this objective, the report consists of: (1) the documentation and examination of the history and current trends of the Gulf of Alaska commercial fishing industry as necessary to develop a basis for projecting fishery development and potential interactions with themore » OCS petroleum industry, (2) the development of models used to forecast the level of commercial fishing industry activity through the year 2000 in the absence of OCS development pursuant to lease sales No. 46 and No. 55, and (3) an analysis of the potential impacts of lease sales No. 46 and No. 55 based on the hypothesized nature and magnitude of the activities of the commercial fishing and OCS petroleum industries. The study concentrates on the commercial fishing industry activities centered in Kodiak, Seward, Cordova, and Yakutat. Both the harvesting and processing sectors of the fishing industry are considered. The sources of impacts considered are the competition for labor, ocean space use, and the infrastructure.« less

[Research on contribution decomposition by industry to China's carbon intensity reduction and carbon emission growth].

PubMed

Jiang, Jing-Jing; Ye, Bin; Ji, Jun-Ping; Ma, Xiao-Ming

2014-11-01

The binding carbon intensity index and the pilot "cap-and-trade" emission trading scheme are two important approaches currently applied by China to mitigate its greenhouse gases emissions. It is of great significance to research the influence mechanism of related factors by industry on the dynamics of national carbon intensity and emission, not only for setting industry-specified intensity reduction target but also for setting industry coverage of the ETS. Two LMDI models were applied in this paper to decompose industry contributions to the changes of China's carbon intensity and carbon emission during the period of 1996-2010. Empirical results showed that: The decline of national carbon intensity was jointly determined by the changes of carbon intensities and the added value proportions of all industries, and the impact of industry carbon intensities was larger. The increase of national carbon emission was jointly determined by the changes of carbon intensities and the added value of all industries. The former had inhibitory effect whist the latter had decisive promoting effect. The five industries making the largest contribution to the changes of national carbon emission and carbon intensity included industries of electricity, nonmetal mineral, ferrous metal, transportation service, chemical materials, which were followed by the industries of agriculture, coal mining and processing, petroleum and natural gas extraction. Petroleum refining and coking industry and construction industry made small contribution to the decline of national carbon intensity, but made large contribution to the growth of national carbon emission. The contributions of service industries to national carbon emission growth showed a rising trend, especially those of transportation service industry, wholesaling, retailing and catering service industry.

Hydrodynamic and Sediment Transport Modelling of Suralaya Coastal Area, Cilegon, Indonesia

NASA Astrophysics Data System (ADS)

Fattah, A. H.; Suntoyo; Damerianne, H. A.; Wahyudi

2018-03-01

The coastal zone of Suralaya is located in the district Pulomerak, Cilegon City, Province Banten. This region is a part of the Sunda Strait region that is very important area to support the ongoing activities such as, industries, power plant, ports, and tourism. However, those various activities will certainly give effect to the surrounding environment. To determine the environmental conditions of Suralaya Coast, it is necessary to study the hydrodynamics analysis and sediment transport modelling including the analysis of currents patterns. Tidal elevation observation was conducted for 15 days used to validate the water elevation simulation results, in which a good agreement between the observed data and the model result was obtained with the error value of 1.6%. The dominant current direction is from northeast in west season, while in the east season predominant current direction is from northwest with a speed average current 12,44 cm/s. The dominant wave direction is from the west. The average temperature is at 27°C and the bottom sediment dominant form is fine sand.

Lessons learned in transitioning to an open systems environment

NASA Technical Reports Server (NTRS)

Boland, Dillard E.; Green, David S.; Steger, Warren L.

1994-01-01

Software development organizations, both commercial and governmental, are undergoing rapid change spurred by developments in the computing industry. To stay competitive, these organizations must adopt new technologies, skills, and practices quickly. Yet even for an organization with a well-developed set of software engineering models and processes, transitioning to a new technology can be expensive and risky. Current industry trends are leading away from traditional mainframe environments and toward the workstation-based, open systems world. This paper presents the experiences of software engineers on three recent projects that pioneered open systems development for NASA's Flight Dynamics Division of the Goddard Space Flight Center (GSFC).

The Lessons Oscar Taught Us: Data Science and Media & Entertainment.

PubMed

Gold, Michael; McClarren, Ryan; Gaughan, Conor

2013-06-01

Farsite Group, a data science firm based in Columbus, Ohio, launched a highly visible campaign in early 2013 to use predictive analytics to forecast the winners of the 85th Annual Academy Awards. The initiative was fun and exciting for the millions of Oscar viewers, but it also illustrated how data science could be further deployed in the media and entertainment industries. This article explores the current and potential use cases for big data and predictive analytics in those industries. It further discusses how the Farsite Forecast was built, as well as how the model was iterated, how the projections performed, and what lessons were learned in the process.

Bird specimens track 135 years of atmospheric black carbon and environmental policy

NASA Astrophysics Data System (ADS)

DuBay, Shane G.; Fuldner, Carl C.

2017-10-01

Atmospheric black carbon has long been recognized as a public health and environmental concern. More recently, black carbon has been identified as a major, ongoing contributor to anthropogenic climate change, thus making historical emission inventories of black carbon an essential tool for assessing past climate sensitivity and modeling future climate scenarios. Current estimates of black carbon emissions for the early industrial era have high uncertainty, however, because direct environmental sampling is sparse before the mid-1950s. Using photometric reflectance data of >1,300 bird specimens drawn from natural history collections, we track relative ambient concentrations of atmospheric black carbon between 1880 and 2015 within the US Manufacturing Belt, a region historically reliant on coal and dense with industry. Our data show that black carbon levels within the region peaked during the first decade of the 20th century. Following this peak, black carbon levels were positively correlated with coal consumption through midcentury, after which they decoupled, with black carbon concentrations declining as consumption continued to rise. The precipitous drop in atmospheric black carbon at midcentury reflects policies promoting burning efficiency and fuel transitions rather than regulating emissions alone. Our findings suggest that current emission inventories based on predictive modeling underestimate levels of atmospheric black carbon for the early industrial era, suggesting that the contribution of black carbon to past climate forcing may also be underestimated. These findings build toward a spatially dynamic emission inventory of black carbon based on direct environmental sampling.

Bird specimens track 135 years of atmospheric black carbon and environmental policy

PubMed Central

DuBay, Shane G.; Fuldner, Carl C.

2017-01-01

Atmospheric black carbon has long been recognized as a public health and environmental concern. More recently, black carbon has been identified as a major, ongoing contributor to anthropogenic climate change, thus making historical emission inventories of black carbon an essential tool for assessing past climate sensitivity and modeling future climate scenarios. Current estimates of black carbon emissions for the early industrial era have high uncertainty, however, because direct environmental sampling is sparse before the mid-1950s. Using photometric reflectance data of >1,300 bird specimens drawn from natural history collections, we track relative ambient concentrations of atmospheric black carbon between 1880 and 2015 within the US Manufacturing Belt, a region historically reliant on coal and dense with industry. Our data show that black carbon levels within the region peaked during the first decade of the 20th century. Following this peak, black carbon levels were positively correlated with coal consumption through midcentury, after which they decoupled, with black carbon concentrations declining as consumption continued to rise. The precipitous drop in atmospheric black carbon at midcentury reflects policies promoting burning efficiency and fuel transitions rather than regulating emissions alone. Our findings suggest that current emission inventories based on predictive modeling underestimate levels of atmospheric black carbon for the early industrial era, suggesting that the contribution of black carbon to past climate forcing may also be underestimated. These findings build toward a spatially dynamic emission inventory of black carbon based on direct environmental sampling. PMID:29073051

Development of a structured approach for decomposition of complex systems on a functional basis

NASA Astrophysics Data System (ADS)

Yildirim, Unal; Felician Campean, I.

2014-07-01

The purpose of this paper is to present the System State Flow Diagram (SSFD) as a structured and coherent methodology to decompose a complex system on a solution- independent functional basis. The paper starts by reviewing common function modelling frameworks in literature and discusses practical requirements of the SSFD in the context of the current literature and current approaches in industry. The proposed methodology is illustrated through the analysis of a case study: design analysis of a generic Bread Toasting System (BTS).

The alcohol industry and public interest science.

PubMed

Stenius, Kerstin; Babor, Thomas F

2010-02-01

This report argues that the growing involvement of the alcohol industry in scientific research needs to be acknowledged and addressed. It suggests a set of principles to guide ethical decision-making in the future. We review relevant issues with regard to relationships between the alcohol industry and the international academic community, especially alcohol research scientists. The guiding principles proposed are modelled after expert committee statements, and describe the responsibilities of governmental agencies, the alcohol industry, journal editors and the academic community. These are followed by recommendations designed to inform individuals and institutions about current 'best practices' that are consistent with the principles. Growing evidence from the tobacco, pharmaceutical and medical fields suggests that financial interests of researchers may compromise their professional judgement and lead to research results that are biased in favour of commercial interests. It is recommended that the integrity of alcohol science is best served if all financial relationships with the alcoholic beverage industry are avoided. In cases where research funding, consulting, writing assignments and other activities are initiated, institutions, individuals and the alcoholic beverage industry itself are urged to follow appropriate guidelines that will increase the transparency and ethicality of such relationships.

Building partnerships: a pilot study of stakeholders' attitudes on technology disruption in behavioral health delivery and research.

PubMed

Sucala, Madalina; Nilsen, Wendy; Muench, Frederick

2017-12-01

Collaborations between scientists, care providers, and technology industry professionals are becoming more relevant for developing, testing, and implementing behavioral health technologies. As the need for such partnerships increases, it is important to understand stakeholders' attitudes about their role in partnering for developing such technologies and how much do they expect technology to impact behavioral research and care. The aim of this study was to investigate how much technology disruption do stakeholders expect in healthcare, as well as their perceived contribution in partnering for developing behavioral health technologies. Stakeholders (N = 74) responded to an online convenience sampling survey. Over 89% of participants reported expecting that technology will bring at least a moderate amount of disruption in the current models of behavioral healthcare, with respondents with the most experience in digital health expecting the most disruption. As for their perception of each other's role in partnering for developing behavioral health technologies, one group's weakness was considered to be complemented by another group's strength. Academics were perceived as having more theoretical and research expertise but being less technology-savvy, while industry professionals were considered to excel at technological and marketing activities. Providers were considered to have the most clinical and real-world healthcare industry expertise. Our results indicate that technology is expected to disrupt current healthcare models, while also highlighting the need for collaboration, as no single group was considered to have sufficient expertise and resources to develop successful, effective behavioral health technologies on its own. These results may contribute to a better understanding of how technology disruption is affecting behavioral healthcare from the standpoint of its key players, which may lead to better collaborative models of research and care delivery.

Modeling local chemistry in PWR steam generator crevices

DOE Office of Scientific and Technical Information (OSTI.GOV)

Millett, P.J.

1997-02-01

Over the past two decades steam generator corrosion damage has been a major cost impact to PWR owners. Crevices and occluded regions create thermal-hydraulic conditions where aggressive impurities can become highly concentrated, promoting localized corrosion of the tubing and support structure materials. The type of corrosion varies depending on the local conditions, with stress corrosion cracking being the phenomenon of most current concern. A major goal of the EPRI research in this area has been to develop models of the concentration process and resulting crevice chemistry conditions. These models may then be used to predict crevice chemistry based on knowledgemore » of bulk chemistry, thereby allowing the operator to control corrosion damage. Rigorous deterministic models have not yet been developed; however, empirical approaches have shown promise and are reflected in current versions of the industry-developed secondary water chemistry guidelines.« less

Species and temperature predictions in a semi-industrial MILD furnace using a non-adiabatic conditional source-term estimation formulation

NASA Astrophysics Data System (ADS)

Labahn, Jeffrey William; Devaud, Cecile

2017-05-01

A Reynolds-Averaged Navier-Stokes (RANS) simulation of the semi-industrial International Flame Research Foundation (IFRF) furnace is performed using a non-adiabatic Conditional Source-term Estimation (CSE) formulation. This represents the first time that a CSE formulation, which accounts for the effect of radiation on the conditional reaction rates, has been applied to a large scale semi-industrial furnace. The objective of the current study is to assess the capabilities of CSE to accurately reproduce the velocity field, temperature, species concentration and nitrogen oxides (NOx) emission for the IFRF furnace. The flow field is solved using the standard k-ε turbulence model and detailed chemistry is included. NOx emissions are calculated using two different methods. Predicted velocity profiles are in good agreement with the experimental data. The predicted peak temperature occurs closer to the centreline, as compared to the experimental observations, suggesting that the mixing between the fuel jet and vitiated air jet may be overestimated. Good agreement between the species concentrations, including NOx, and the experimental data is observed near the burner exit. Farther downstream, the centreline oxygen concentration is found to be underpredicted. Predicted NOx concentrations are in good agreement with experimental data when calculated using the method of Peters and Weber. The current study indicates that RANS-CSE can accurately predict the main characteristics seen in a semi-industrial IFRF furnace.

Multiphase High-Frequency Isolated DC-DC Converter for Industrial Applications

NASA Astrophysics Data System (ADS)

Maurya, Rakesh; Srivastava, S. P.; Agarwal, Pramod

2014-01-01

Industrial applications such as welding, plasma cutting, and surface hardening require a large DC current at low voltage. In such applications, the rating of power supply varies from few kilowatts to hundreds of kilowatts. The power supply employs in such applications particularly in arc welding process is expected to operate from open-circuit (no-load) to short-circuit (when the electrode sticks to the workpiece for a short span of time) quickly. In this paper, high-frequency isolated multiphase DC-DC converter is proposed which is well suited for aforementioned applications. Based on mathematical analysis, a simulation study with 5 kW, 5 V/1,000 A proposed model is carried out using Simulink block set and Sim Power System tool box and its performances are evaluated under symmetrical control methods. To verify the simulation results, scaled prototype model of rating 1.5 V/100 A is developed and tested with aforementioned control method under different operating conditions. In comparison with conventional welding power supply employed in many industries, the performance of proposed converter is improved significantly in terms of size and weight, efficiency and dynamic response.

Unintended environmental consequences and co-benefits of economic restructuring.

PubMed

Liang, Sai; Xu, Ming; Suh, Sangwon; Tan, Raymond R

2013-11-19

Current economic restructuring policies have ignored unintended environmental consequences and cobenefits, the understanding of which can provide foundations for effective policy decisions for green economy transformation. Using the input-output life cycle assessment model and taking China as an example, we find that household consumption, fixed capital formation, and export are main drivers to China's environmental impacts. At the product scale, major contributors to environmental impacts vary across different types of impacts. Stimulating the development of seven strategic emerging industries will cause unintended consequences, such as increasing nonferrous metal ore usage, terrestrial acidification, photochemical oxidant formation, human toxicity, and terrestrial ecotoxicity. Limiting the surplus outputs in the construction materials industry and metallurgy industry may only help mitigate some of the environmental impacts caused by China's regulated pollutants, with little effect on reducing other impacts, such as marine eutrophication, terrestrial acidification, photochemical oxidant formation, and particulate matter formation. However, it will bring cobenefits by simultaneously reducing mineral ore usage, human toxicity, marine ecotoxicity, and terrestrial ecotoxicity. Sustainable materials management and integrated policy modeling are possible ways for policy-making to avoid unintended consequences and effectively utilize cobenefits.

Hazardous air pollutants in industrial area of Mumbai - India.

PubMed

Srivastava, Anjali; Som, Dipanjali

2007-09-01

Hazardous Air Pollutants (HAPs) have a potential to be distributed into different component of environment with varying persistence. In the current study fourteen HAPs have been quantified in the air using TO-17 method in an industrial area of Mumbai. The distribution of these HAPs in different environmental compartments have been calculated using multi media mass balance model, TaPL3, along with long range transport potential and persistence. Results show that most of the target compounds partition mostly in air. Phenol and trifluralin, partition predominantly into soil while ethyl benzene and xylene partition predominantly into vegetation compartment. Naphthalene has the highest persistence followed by ethyl benzene, xylene and 1,1,1 trihloro ethane. Long range transport potential is maximum for 1,1,1 trichloroethane. Assessment of human health risk in terms of non-carcinogenic hazard and carcinogenic risk due to exposure to HAPs. have been estimated for industrial workers and residents in the study area considering all possible exposure routes using the output from TaPL3 model. The overall carcinogenic risk for residents and workers are estimated as high as unity along with very high hazard potential.

Cross-industry Performance Modeling: Toward Cooperative Analysis

DOE Office of Scientific and Technical Information (OSTI.GOV)

Reece, Wendy Jane; Blackman, Harold Stabler

One of the current unsolved problems in human factors is the difficulty in acquiring information from lessons learned and data collected among human performance analysts in different domains. There are several common concerns and generally accepted issues of importance for human factors, psychology and industry analysts of performance and safety. Among these are the need to incorporate lessons learned in design, to carefully consider implementation of new designs and automation, and the need to reduce human performance-based contributions to risk. In spite of shared concerns, there are several roadblocks to widespread sharing of data and lessons learned from operating experiencemore » and simulation, including the fact that very few publicly accessible data bases exist (Gertman & Blackman, 1994, and Kirwan, 1997). There is a need to draw together analysts and analytic methodologies to comprise a centralized source of data with sufficient detail to be meaningful while ensuring source anonymity. We propose that a generic source of performance data and a multi-domain data store may provide the first steps toward cooperative performance modeling and analysis across industries.« less

Cross-Industry Performance Modeling: Toward Cooperative Analysis

DOE Office of Scientific and Technical Information (OSTI.GOV)

H. S. Blackman; W. J. Reece

One of the current unsolved problems in human factors is the difficulty in acquiring information from lessons learned and data collected among human performance analysts in different domains. There are several common concerns and generally accepted issues of importance for human factors, psychology and industry analysts of performance and safety. Among these are the need to incorporate lessons learned in design, to carefully consider implementation of new designs and automation, and the need to reduce human performance-based contributions to risk. In spite of shared concerns, there are several road blocks to widespread sharing of data and lessons learned from operatingmore » experience and simulation, including the fact that very few publicly accessible data bases exist(Gertman & Blackman, 1994, and Kirwan, 1997). There is a need to draw together analysts and analytic methodologies to comprise a centralized source of data with sufficient detail to be meaningful while ensuring source anonymity. We propose that a generic source of performance data and a multi-domain data store may provide the first steps toward cooperative performance modeling and analysis across industries.« less

Industrial biomanufacturing: The future of chemical production.

PubMed

Clomburg, James M; Crumbley, Anna M; Gonzalez, Ramon

2017-01-06

The current model for industrial chemical manufacturing employs large-scale megafacilities that benefit from economies of unit scale. However, this strategy faces environmental, geographical, political, and economic challenges associated with energy and manufacturing demands. We review how exploiting biological processes for manufacturing (i.e., industrial biomanufacturing) addresses these concerns while also supporting and benefiting from economies of unit number. Key to this approach is the inherent small scale and capital efficiency of bioprocesses and the ability of engineered biocatalysts to produce designer products at high carbon and energy efficiency with adjustable output, at high selectivity, and under mild process conditions. The biological conversion of single-carbon compounds represents a test bed to establish this paradigm, enabling rapid, mobile, and widespread deployment, access to remote and distributed resources, and adaptation to new and changing markets. Copyright © 2017, American Association for the Advancement of Science.

Position control of an industrial robot using fractional order controller

NASA Astrophysics Data System (ADS)

Clitan, Iulia; Muresan, Vlad; Abrudean, Mihail; Clitan, Andrei; Miron, Radu

2017-02-01

This paper presents the design of a control structure that ensures no overshoot for the movement of an industrial robot, used for the evacuation of round steel blocks from inside a rotary hearth furnace. First, a mathematical model for the positioning system is derived from a set of experimental data, and further, the paper focuses on obtaining a PID type controller, using the relay method as tuning method in order to obtain a stable closed loop system. The controller parameters are further tuned in order to achieve the imposed set of performances for the positioning of the industrial robot through computer simulation, using trial and error method. Further, a fractional - order PID controller is obtained in order to improve the control signal variation, so as to fit within the range of unified current's variation, 4 to 20 mA.

Surgeons' perceptions on industry relations: A survey of 822 surgeons.

PubMed

Altieri, Maria S; Yang, Jie; Wang, Lily; Yin, Donglei; Talamini, Mark; Pryor, Aurora D

2017-07-01

The relationships between industry and medical professionals are controversial. The purpose of our study was to evaluate surgeons' current opinions regarding the industry-surgery partnership, in addition to self-reported industry ties. After institutional review board approval, a survey was sent via RedCap to 3,782 surgeons across the United States. Univariate and multivariable regression analyses were performed to evaluate the responses. The response rate was 23%. From the 822 responders, 226 (27%) reported at least one current relationship with industry, while 297 (36.1%) had at least one such relationship within the past 3 years. There was no difference between general surgery versus other surgical specialties (P = .5). Among the general surgery subspecialties, respondents in minimally invasive surgery/foregut had greater ties to industry compared to other subspecialties (P = .001). In addition, midcareer surgeons, male sex, and being on a reviewer/editorial board were associated with having industry ties (P < .05). Most surgeons (71%) believed that the relationships with industry are important for innovation. Our study showed that relationships between surgeons and industry are common, because more than a quarter of our responders reported at least one current relationship. Industry relations are perceived as necessary for operative innovation. Copyright © 2017 Elsevier Inc. All rights reserved.

Iran`s petroleum policy: Current trends and the future outlook

DOE Office of Scientific and Technical Information (OSTI.GOV)

Pezeshki, S.; Fesharaki, F.

1994-12-01

The Iranian economy and political situation have undergone radical changes since the 1979 Islamic revolution. The excesses of the early years of the revolution have gradually given way to moderation and a more pragmatic economic policy--based on the principles of the free market. The petroleum policy, as a subset of the economic policies, has been somewhat affected by the political and economic developments in Iran. The petroleum policy has changed from a position of no foreign participation to a position that includes a desire for foreign participation, the text of a model contract, and an attempt to introduce new technologiesmore » in the upstream sector. This report provides an overview of the key issues facing the Iranian oil industry and the economic context in which the oil industry is operating in Iran. It describes the evolution of policies meant to move the oil industry toward the free market; it discusses Iran`s oil trading partners, the outlook for refining and project investments, and current and likely future developments in the natural gas and petrochemical sectors. In short, the report provides an up-to-date assessment of the Iranian petroleum sector and its likely evolution in the future.« less

Development of Magneto-Resistive Angular Position Sensors for Space Applications

NASA Astrophysics Data System (ADS)

Hahn, Robert; Langendorf, Sven; Seifart, Klaus; Slatter, Rolf; Olberts, Bastian; Romera, Fernando

2015-09-01

Magnetic microsystems in the form of magneto- resistive (MR) sensors are firmly established in automobiles and industrial applications. They measure path, angle, electrical current, or magnetic fields. MR technology opens up new sensor possibilities in space applications and can be an enabling technology for optimal performance, high robustness and long lifetime at reasonable costs. In a recent assessment study performed by HTS GmbH and Sensitec GmbH under ESA Contract a market survey has confirmed that space industry has a very high interest in novel, contactless position sensors based on MR technology. Now, a detailed development stage is pursued, to advance the sensor design up to Engineering Qualification Model (EQM) level and to perform qualification testing for a representative pilot space application.The paper briefly reviews the basics of magneto- resistive effects and possible sensor applications and describes the key benefits of MR angular sensors with reference to currently operational industrial and space applications. The results of the assessment study are presented and potential applications and uses of contactless magneto-resistive angular sensors for spacecraft are identified. The baseline mechanical and electrical sensor design will be discussed. An outlook on the EQM development and qualification tests is provided.

A 3D Model for Eddy Current Inspection in Aeronautics: Application to Riveted Structures

NASA Astrophysics Data System (ADS)

Paillard, S.; Pichenot, G.; Lambert, M.; Voillaume, H.; Dominguez, N.

2007-03-01

Eddy current technique is currently an operational tool used for fastener inspection which is an important issue for the maintenance of aircraft structures. The industry calls for faster, more sensitive and reliable NDT techniques for the detection and characterization of potential flaws nearby rivet. In order to reduce the development time and to optimize the design and the performances assessment of an inspection procedure, the CEA and EADS have started a collaborative work aiming at extending the modeling features of the CIVA non destructive simulation plat-form in order to handle the configuration of a layered planar structure with a rivet and an embedded flaw nearby. Therefore, an approach based on the Volume Integral Method using the Green dyadic formalism which greatly increases computation efficiency has been developed. The first step, modeling the rivet without flaw as a hole in a multi-stratified structure, has been reached and validated in several configurations with experimental data.

Wise Investment? Modeling Industry Profitability and Risk of Targeted Chemotherapy for Incurable Solid Cancers

PubMed Central

Conter, Henry J.; Chu, Quincy S.C.

2012-01-01

Purpose: Pharmaceutical development involves substantial financial risk. This risk, rising development costs, and the promotion of continued research and development have been cited as major drivers in the progressive increase in drug prices. Currently, cost-effective analyses are being used to determine the value of treatment. However, cost-effective analyses practically function as a threshold for value and do not directly address the rationale for drug prices. We set out to create a functional model for industry price decisions and clarify the minimum acceptable profitability of new drugs. Methods: Assuming that industry should only invest in profitable ventures, we employed a linear cost-volume-profit breakeven analysis to equate initial capital investment and risk and post–drug-approval profits, where drug development represents the bulk of investment. A Markov decision analysis model was also used to define the relationships between investment events risk. A systematic literature search was performed to determine event probabilities, clinical trial costs, and total expenses as inputs into the model. Disease-specific inputs, current market size across regions, and lengths of treatment for cancer types were also included. Results: With development of single novel chemotherapies costing from $802 to $1,042 million (2002 US dollars), pharmaceutical profits should range from $4.3 to $5.2 billion, with an expected rate of return on investment of 11% annually. However, diversification across cancer types for chemotherapy can reduce the minimum required profit to less than $3 billion. For optimal diversification, industry should study four tumor types per drug; however, nonprofit organizations could tolerate eight parallel development tracks to minimize the risk of development failure. Assuming that pharmaceutical companies hold exclusive rights for drug sales for only 5 years after market approval, the minimum required profit per drug per month per patient ranges from $294 for end-stage lung cancer to $3,231 for end-stage renal cell carcinoma. Conclusion: Pharmaceutical development in oncology is costly, with substantial risk, but is also highly profitable. Minimum acceptable profits per drug per month of treatment per patient vary with prevalence of disease, but they should be less than $5,000 per month of treatment in the developed world. Minimum acceptable profits may be lower for treatments with additional efficacy in the earlier stages of a tumor type. However, this type of event could not be statistically modeled. PMID:29447097

Creating Value with Long Term R&D: The life science industry

NASA Astrophysics Data System (ADS)

Soloman, Darlene J. S.

2008-03-01

Agilent Laboratories looks to the future to identify, invest and enable technologies and applications that will nurture the world’s people, environment and economies, and help ensure Agilent’s continuing leadership. Following a brief introduction to Agilent Technologies and Agilent Laboratories, Solomon will discuss how innovation and long-term R&D are transcending traditional boundaries. Focusing on the life sciences industry, she will discuss current trends in R&D and the importance of measurement in advancing the industry. She will describe some of the challenges that are disrupting the pharmaceutical industry where significant and sustained investment in R&D has not translated into large numbers of block-buster therapeutics. Much of this gap results from the profound complexity of biological systems. New discoveries quickly generate new questions, which in turn drive more research and necessitate new business models. Solomon will highlight examples of Agilent’s long-range R&D in life sciences, emphasizing the importance of physics. She’ll conclude with the importance of creating sustainable value with R&D.

Predictive Toxicology: Current Status and Future Outlook (EBI ...

EPA Pesticide Factsheets

Slide presentation at the EBI-EMBL Industry Programme Workshop on Predictive Toxicology and the currently status of Computational Toxicology activities at the US EPA. Slide presentation at the EBI-EMBL Industry Programme Workshop on Predictive Toxicology and the currently status of Computational Toxicology activities at the US EPA.

Future of the world's automobile industry

DOE Office of Scientific and Technical Information (OSTI.GOV)

Kagawa, T.

1989-03-01

The author feels that the Japanese automobile industry is approaching a turning point. But it is not enough to refer only to the changing structure of the Japanese automobile industry when similar structural changes are taking place on a worldwide scale. Therefore he first comments on the current state of the automobile industry of the world, and then reviews the reasons for the gap between automobile production and demand and the historical background of this phenomenon. Then, finally, he discusses the current progress of and future challenges in the structural adjustment of the global automobile industry. He notes the verymore » close relation of the battery industry to the automobile industry, and hopes the former will prosper hand in hand with the latter. 6 tables.« less

Radiation-Hardened Electronics for the Space Environment

NASA Technical Reports Server (NTRS)

Keys, Andrew S.; Watson, Michael D.

2007-01-01

RHESE covers a broad range of technology areas and products. - Radiation Hardened Electronics - High Performance Processing - Reconfigurable Computing - Radiation Environmental Effects Modeling - Low Temperature Radiation Hardened Electronics. RHESE has aligned with currently defined customer needs. RHESE is leveraging/advancing SOA space electronics, not duplicating. - Awareness of radiation-related activities through out government and industry allow advancement rather than duplication of capabilities.

A Multiple-Regression Model for Monitoring Tool Wear with a Dynamometer in Milling Operations

ERIC Educational Resources Information Center

Chen, Jacob C.; Chen, Joseph C.

2004-01-01

A major goal of the manufacturing industry is increasing product quality. The quality of a product is strongly associated with the condition of the cutting tool that produced it. Catching poor tool conditions early in the production will help reduce defects. However, with current CNC technology, manufacturers still rely mainly on the operator's…

L'archivage a long terme de la maquette numerique trois-dimensionnelle annotee

NASA Astrophysics Data System (ADS)

Kheddouci, Fawzi

The use of engineering drawings in the development of mechanical products, including the exchange of engineering data as well as for archiving, is common industry practice. Traditionally, paper has been the mean to deliver those needs. However, these practices have evolved in favour of computerized tools and methods for the creation, diffusion and preservation of data involved in the process of developing aeronautical products characterized by life cycles that can exceed 70 years. Therefore, it is necessary to redefine how to maintain this data in a context whereby engineering drawings are being replaced by the 3D annotated digital mock-up. This thesis addresses the issue of long-term archiving of 3D annotated digital mock-ups, which includes geometric and dimensional tolerances, as well as other notes and specifications, in compliance with the requirements formulated by the aviation industry including regulatory and legal requirements. First, we review the requirements imposed by the aviation industry in the context of long-term archiving of 3D annotated digital mock-ups. We then consider alternative solutions. We begin by identifying the theoretical approach behind the choice of a conceptual model for digital long-term archiving. Then we evaluate, among the proposed alternatives, an archiving format that will guarantee the preservation of the integrity of the 3D annotated model (geometry, tolerances and other metadata) and its sustainability. The evaluation of 3D PDF PRC as a potential archiving format is carried out on a sample of 185 3D CATIA V5 models (parts and assemblies) provided by industrial partners. This evaluation is guided by a set of criteria including the transfer of geometry, 3D annotations, views, captures and parts positioning in assembly. The results indicate that maintaining the exact geometry is done successfully when transferring CATIA V5 models to 3D PDF PRC. Concerning the transfer of 3D annotations, we observed degradation associated with their display on the 3D model. This problem can, however, be solved by performing the conversion of the native model to STEP first, and then to 3D PDF PRC. In view of current tools, PDF 3D PRC is considered as a potential solution for long-term archiving of 3D annotated models for individual parts. However, this solution is currently not deemed adequate for archiving assemblies. The practice of 2D drawing will thus remain, in the short term, for assemblies.

Perspectives in metabolic engineering: understanding cellular regulation towards the control of metabolic routes.

PubMed

Zadran, Sohila; Levine, Raphael D

2013-01-01

Metabolic engineering seeks to redirect metabolic pathways through the modification of specific biochemical reactions or the introduction of new ones with the use of recombinant technology. Many of the chemicals synthesized via introduction of product-specific enzymes or the reconstruction of entire metabolic pathways into engineered hosts that can sustain production and can synthesize high yields of the desired product as yields of natural product-derived compounds are frequently low, and chemical processes can be both energy and material expensive; current endeavors have focused on using biologically derived processes as alternatives to chemical synthesis. Such economically favorable manufacturing processes pursue goals related to sustainable development and "green chemistry". Metabolic engineering is a multidisciplinary approach, involving chemical engineering, molecular biology, biochemistry, and analytical chemistry. Recent advances in molecular biology, genome-scale models, theoretical understanding, and kinetic modeling has increased interest in using metabolic engineering to redirect metabolic fluxes for industrial and therapeutic purposes. The use of metabolic engineering has increased the productivity of industrially pertinent small molecules, alcohol-based biofuels, and biodiesel. Here, we highlight developments in the practical and theoretical strategies and technologies available for the metabolic engineering of simple systems and address current limitations.

Evaluating the usability of a commercial cooling vest in the Hong Kong industries.

PubMed

Chan, Albert P; Yang, Yang; Song, Wen-Fang

2018-03-01

The provision of appropriate personal cooling vests is recognized as an effective measure to combat heat stress. However, personal cooling vests are not widely implemented in the Hong Kong industries. The current study aims to evaluate the usability of a hybrid cooling vest that is associated with the success of its application in industrial settings. A self-administrated questionnaire focusing on 10 subjective attributes of cooling effect, ergonomic design and usability of a hybrid cooling vest was administered with 232 occupational workers in the construction, horticultural and cleaning, airport apron services and kitchen and catering industries. A structural equation model estimated by analysis of moment structures was constructed to evaluate the usability of the cooling vest, as influenced by cooling effect and ergonomic design. Results showed that cooling effect (path coefficient = 0.69, p < 0.001) and ergonomic design (path coefficient = 0.55, p < 0.001) significantly affect the usability of the cooling vest. The structural equation model is feasible to examine the complex nature of the structural relationships among the subjective perceptions of personal cooling vests. The empirical findings furnish sound evidence for further optimization of the hybrid cooling vest in terms of cooling effect and ergonomic design for occupational workers.

Non-Destructive Techniques Based on Eddy Current Testing

PubMed Central

García-Martín, Javier; Gómez-Gil, Jaime; Vázquez-Sánchez, Ernesto

2011-01-01

Non-destructive techniques are used widely in the metal industry in order to control the quality of materials. Eddy current testing is one of the most extensively used non-destructive techniques for inspecting electrically conductive materials at very high speeds that does not require any contact between the test piece and the sensor. This paper includes an overview of the fundamentals and main variables of eddy current testing. It also describes the state-of-the-art sensors and modern techniques such as multi-frequency and pulsed systems. Recent advances in complex models towards solving crack-sensor interaction, developments in instrumentation due to advances in electronic devices, and the evolution of data processing suggest that eddy current testing systems will be increasingly used in the future. PMID:22163754

Non-destructive techniques based on eddy current testing.

PubMed

García-Martín, Javier; Gómez-Gil, Jaime; Vázquez-Sánchez, Ernesto

2011-01-01

Non-destructive techniques are used widely in the metal industry in order to control the quality of materials. Eddy current testing is one of the most extensively used non-destructive techniques for inspecting electrically conductive materials at very high speeds that does not require any contact between the test piece and the sensor. This paper includes an overview of the fundamentals and main variables of eddy current testing. It also describes the state-of-the-art sensors and modern techniques such as multi-frequency and pulsed systems. Recent advances in complex models towards solving crack-sensor interaction, developments in instrumentation due to advances in electronic devices, and the evolution of data processing suggest that eddy current testing systems will be increasingly used in the future.

Making Better Re/Insurance Underwriting and Capital Management Decisions with Public-Private-Academic Partnerships

NASA Astrophysics Data System (ADS)

Michel, G.; Gunasekera, R.; Werner, A.; Galy, H.

2012-04-01

Similar to 2001, 2004, and 2005, 2011 was another year of unexpected international catastrophe events, in which insured losses were more than twice the expected long-term annual average catastrophe losses of USD 30 to 40bn. Key catastrophe events that significantly contributed these losses included the Mw 9.0 Great Tohoku earthquake and tsunami, the Jan. 2011 floods in Queensland, the October 2011 floods in Thailand, the Mw 6.1 Christchurch earthquake and Convective system (Tornado) in United States. However, despite considerable progress in catastrophe modelling, the advent of global catastrophe models, increasing risk model coverage and skill in the detailed modelling, the above mentioned events were not satisfactorily modelled by the current mainstream Re/Insurance catastrophe models. This presentation therefore address problems in models and incomplete understanding identified from recent catastrophic events by considering: i) the current modelling environment, and ii) how the current processes could be improved via: a) the understanding of risk within science networks such as the Willis Research Network, and b) the integration of risk model results from available insurance catastrophe models and tools. This presentation aims to highlight the needed improvements in decision making and market practices, thereby advancing the current management of risk in the Re/Insurance industry. This also increases the need for better integration of Public-Private-Academic partnerships and tools to provide better estimates of not only financial loss but also humanitarian and infrastructural losses as well.

A flowsheet model of a well-mixed fluidized bed dryer: Applications in controllability assessment and optimization

DOE Office of Scientific and Technical Information (OSTI.GOV)

Langrish, T.A.G.; Harvey, A.C.

2000-01-01

A model of a well-mixed fluidized-bed dryer within a process flowsheeting package (SPEEDUP{trademark}) has been developed and applied to a parameter sensitivity study, a steady-state controllability analysis and an optimization study. This approach is more general and would be more easily applied to a complex flowsheet than one which relied on stand-alone dryer modeling packages. The simulation has shown that industrial data may be fitted to the model outputs with sensible values of unknown parameters. For this case study, the parameter sensitivity study has found that the heat loss from the dryer and the critical moisture content of the materialmore » have the greatest impact on the dryer operation at the current operating point. An optimization study has demonstrated the dominant effect of the heat loss from the dryer on the current operating cost and the current operating conditions, and substantial cost savings (around 50%) could be achieved with a well-insulated and airtight dryer, for the specific case studied here.« less

Additive Manufacturing Modeling and Simulation A Literature Review for Electron Beam Free Form Fabrication

NASA Technical Reports Server (NTRS)

Seufzer, William J.

2014-01-01

Additive manufacturing is coming into industrial use and has several desirable attributes. Control of the deposition remains a complex challenge, and so this literature review was initiated to capture current modeling efforts in the field of additive manufacturing. This paper summarizes about 10 years of modeling and simulation related to both welding and additive manufacturing. The goals were to learn who is doing what in modeling and simulation, to summarize various approaches taken to create models, and to identify research gaps. Later sections in the report summarize implications for closed-loop-control of the process, implications for local research efforts, and implications for local modeling efforts.

Maximizing Energy Savings Reliability in BC Hydro Industrial Demand-side Management Programs: An Assessment of Performance Incentive Models

NASA Astrophysics Data System (ADS)

Gosman, Nathaniel

For energy utilities faced with expanded jurisdictional energy efficiency requirements and pursuing demand-side management (DSM) incentive programs in the large industrial sector, performance incentive programs can be an effective means to maximize the reliability of planned energy savings. Performance incentive programs balance the objectives of high participation rates with persistent energy savings by: (1) providing financial incentives and resources to minimize constraints to investment in energy efficiency, and (2) requiring that incentive payments be dependent on measured energy savings over time. As BC Hydro increases its DSM initiatives to meet the Clean Energy Act objective to reduce at least 66 per cent of new electricity demand with DSM by 2020, the utility is faced with a higher level of DSM risk, or uncertainties that impact the costeffective acquisition of planned energy savings. For industrial DSM incentive programs, DSM risk can be broken down into project development and project performance risks. Development risk represents the project ramp-up phase and is the risk that planned energy savings do not materialize due to low customer response to program incentives. Performance risk represents the operational phase and is the risk that planned energy savings do not persist over the effective measure life. DSM project development and performance risks are, in turn, a result of industrial economic, technological and organizational conditions, or DSM risk factors. In the BC large industrial sector, and characteristic of large industrial sectors in general, these DSM risk factors include: (1) capital constraints to investment in energy efficiency, (2) commodity price volatility, (3) limited internal staffing resources to deploy towards energy efficiency, (4) variable load, process-based energy saving potential, and (5) a lack of organizational awareness of an operation's energy efficiency over time (energy performance). This research assessed the capacity of alternative performance incentive program models to manage DSM risk in BC. Three performance incentive program models were assessed and compared to BC Hydro's current large industrial DSM incentive program, Power Smart Partners -- Transmission Project Incentives, itself a performance incentive-based program. Together, the selected program models represent a continuum of program design and implementation in terms of the schedule and level of incentives provided, the duration and rigour of measurement and verification (M&V), energy efficiency measures targeted and involvement of the private sector. A multi criteria assessment framework was developed to rank the capacity of each program model to manage BC large industrial DSM risk factors. DSM risk management rankings were then compared to program costeffectiveness, targeted energy savings potential in BC and survey results from BC industrial firms on the program models. The findings indicate that the reliability of DSM energy savings in the BC large industrial sector can be maximized through performance incentive program models that: (1) offer incentives jointly for capital and low-cost operations and maintenance (O&M) measures, (2) allow flexible lead times for project development, (3) utilize rigorous M&V methods capable of measuring variable load, process-based energy savings, (4) use moderate contract lengths that align with effective measure life, and (5) integrate energy management software tools capable of providing energy performance feedback to customers to maximize the persistence of energy savings. While this study focuses exclusively on the BC large industrial sector, the findings of this research have applicability to all energy utilities serving large, energy intensive industrial sectors.

Modelling of industrial robot in LabView Robotics

NASA Astrophysics Data System (ADS)

Banas, W.; Cwikła, G.; Foit, K.; Gwiazda, A.; Monica, Z.; Sekala, A.

2017-08-01

Currently can find many models of industrial systems including robots. These models differ from each other not only by the accuracy representation parameters, but the representation range. For example, CAD models describe the geometry of the robot and some even designate a mass parameters as mass, center of gravity, moment of inertia, etc. These models are used in the design of robotic lines and sockets. Also systems for off-line programming use these models and many of them can be exported to CAD. It is important to note that models for off-line programming describe not only the geometry but contain the information necessary to create a program for the robot. Exports from CAD to off-line programming system requires additional information. These models are used for static determination of reachability points, and testing collision. It’s enough to generate a program for the robot, and even check the interaction of elements of the production line, or robotic cell. Mathematical models allow robots to study the properties of kinematic and dynamic of robot movement. In these models the geometry is not so important, so are used only selected parameters such as the length of the robot arm, the center of gravity, moment of inertia. These parameters are introduced into the equations of motion of the robot and motion parameters are determined.

Alaska OCS socioeconomic studies program. Technical report number 44. Lower Cook Inlet petroleum development scenarios: commercial fishing industry analysis. Final report

DOE Office of Scientific and Technical Information (OSTI.GOV)

Terry, J.M.; Scoles, R.G.; Larson, D.M.

1980-07-01

The objectives of the report are to increase the understanding of the potential relationships between the commercial fishing and Outer Continental Shelf (OCS) petroleum industries and to project the potential impacts on the commercial fishing industry of Cook Inlet and Shelikof Strait that may occur as a result of the proposed OCS Lease Sale Number 60. To meet this objective, the report consists of: (1) the documentation and examination of the history and current trends of the Cook Inlet and Shelikof Strait commercial fishing industry as necessary to develop a basis for projecting fishery development and potential interactions with themore » OCS petroleum industry, (2) the development of models used to forecast the level of commercial fishing industry activity through the year 2000 in the absence of OCS development pursuant to Lease Sale Number 60, and (3) an analysis of the potential impacts of Lease Sale Number 60 based on the hypothesized nature and magnitude of the activities of the commercial fishing and OCS petroleum industries. Both the harvesting and processing sectors of the fishing industry are considered. The sources of impacts considered are the competition for labor, ocean space use, and the infrastructure. Potential impacts due to environmental or biological changes resulting from OCS petroleum development are not considered.« less

DOE Office of Scientific and Technical Information (OSTI.GOV)

Jonkman, Jason; Annoni, Jennifer; Hayman, Greg

This paper presents the development of FAST.Farm, a new multiphysics tool applicable to engineering problems in research and industry involving wind farm performance and cost optimization that is needed to address the current underperformance, failures, and expenses plaguing the wind industry. Achieving wind cost-of-energy targets - which requires improvements in wind farm performance and reliability, together with reduced uncertainty and expenditures - has been eluded by the complicated nature of the wind farm design problem, especially the sophisticated interaction between atmospheric phenomena and wake dynamics and array effects. FAST.Farm aims to balance the need for accurate modeling of the relevantmore » physics for predicting power performance and loads while maintaining low computational cost to support a highly iterative and probabilistic design process and system-wide optimization. FAST.Farm makes use of FAST to model the aero-hydro-servo-elastics of distinct turbines in the wind farm, and it is based on some of the principles of the Dynamic Wake Meandering (DWM) model, but avoids many of the limitations of existing DWM implementations.« less

Electrical characteristics of TIG arcs in argon from non-equilibrium modelling and experiment

NASA Astrophysics Data System (ADS)

Baeva, Margarita; Uhrlandt, Dirk; Siewert, Erwan

2016-09-01

Electric arcs are widely used in industrial processes so that a thorough understanding of the arc characteristics is highly important to industrial research and development. TIG welding arcs operated with pointed electrodes made of tungsten, doped with cerium oxide, have been studied in order to analyze in detail the electric field and the arc voltage. Newly developed non-equilibrium model of the arc is based on a complete diffusion treatment of particle fluxes, a generalized form of Ohm's law, and boundary conditions accounting for the space-charge sheaths within the magneto-hydrodynamic approach. Experiments have been carried out for electric currents in the range 5-200 A. The electric arc has been initiated between a WC20 cathode and a water-cooled copper plate placed 0.8 mm from each other. The arc length has been continuously increased by 0.1 mm up to 15 mm and the arc voltage has been simultaneously recorded. Modelling and experimental results will be presented and discussed.

Future land-use related water demand in California

USGS Publications Warehouse

Wilson, Tamara; Sleeter, Benjamin M.; Cameron, D. Richard

2016-01-01

Water shortages in California are a growing concern amidst ongoing drought, earlier spring snowmelt, projected future climate warming, and currently mandated water use restrictions. Increases in population and land use in coming decades will place additional pressure on already limited available water supplies. We used a state-and-transition simulation model to project future changes in developed (municipal and industrial) and agricultural land use to estimate associated water use demand from 2012 to 2062. Under current efficiency rates, total water use was projected to increase 1.8 billion cubic meters(+4.1%) driven primarily by urbanization and shifts to more water intensive crops. Only if currently mandated 25% reductions in municipal water use are continuously implemented would water demand in 2062 balance to water use levels in 2012. This is the first modeling effort of its kind to examine regional land-use related water demand incorporating historical trends of both developed and agricultural land uses.

Conversion of IVA Human Computer Model to EVA Use and Evaluation and Comparison of the Result to Existing EVA Models

NASA Technical Reports Server (NTRS)

Hamilton, George S.; Williams, Jermaine C.

1998-01-01

This paper describes the methods, rationale, and comparative results of the conversion of an intravehicular (IVA) 3D human computer model (HCM) to extravehicular (EVA) use and compares the converted model to an existing model on another computer platform. The task of accurately modeling a spacesuited human figure in software is daunting: the suit restricts the human's joint range of motion (ROM) and does not have joints collocated with human joints. The modeling of the variety of materials needed to construct a space suit (e. g. metal bearings, rigid fiberglass torso, flexible cloth limbs and rubber coated gloves) attached to a human figure is currently out of reach of desktop computer hardware and software. Therefore a simplified approach was taken. The HCM's body parts were enlarged and the joint ROM was restricted to match the existing spacesuit model. This basic approach could be used to model other restrictive environments in industry such as chemical or fire protective clothing. In summary, the approach provides a moderate fidelity, usable tool which will run on current notebook computers.

IGBT Switching Characteristic Curve Embedded Half-Bridge MMC Modelling and Real Time Simulation Realization

NASA Astrophysics Data System (ADS)

Zhengang, Lu; Hongyang, Yu; Xi, Yang

2017-05-01

The Modular Multilevel Converter (MMC) is one of the most attractive topologies in recent years for medium or high voltage industrial applications, such as high voltage dc transmission (HVDC) and medium voltage varying speed motor drive. The wide adoption of MMCs in industry is mainly due to its flexible expandability, transformer-less configuration, common dc bus, high reliability from redundancy, and so on. But, when the sub module number of MMC is more, the test of MMC controller will cost more time and effort. Hardware in the loop test based on real time simulator will save a lot of time and money caused by the MMC test. And due to the flexible of HIL, it becomes more and more popular in the industry area. The MMC modelling method remains an important issue for the MMC HIL test. Specifically, the VSC model should realistically reflect the nonlinear device switching characteristics, switching and conduction losses, tailing current, and diode reverse recovery behaviour of a realistic converter. In this paper, an IGBT switching characteristic curve embedded half-bridge MMC modelling method is proposed. This method is based on the switching curve referring and sample circuit calculation, and it is sample for implementation. Based on the proposed method, a FPGA real time simulation is carried out with 200ns sample time. The real time simulation results show the proposed method is correct.

Assessing the motor carrier industry and its segments : current and prospective issues, 2006.

DOT National Transportation Integrated Search

2006-04-01

This report updates the Motor Carrier Industry Profile: An Update 2004-2005 to reflect recent changes in the motor carrier industry. This document relies heavily on industry trade journals, company annual reports and other industry surveys as sources...

Recent patents on microbial proteases for the dairy industry.

PubMed

Feijoo-Siota, Lucía; Blasco, Lucía; Rodríguez-Rama, José Luis; Barros-Velázquez, Jorge; Miguel, Trinidad de; Sánchez-Pérez, Angeles; Villa, Tomás G

2014-01-01

This paper reviews the general characteristics of exo and endopeptidases of microbial origin currently used in the milk industry. It also includes recent patents developed either to potentiate the enzymatic activity or to improve the resulting milk derivatives. The main application of these proteases is in the cheese-making industry. Although this industry preferentially uses animal rennets, and in particular genetically engineered chymosins, it also utilizes milk coagulants of microbial origin. Enzymes derived from Rhizomucor miehei, Rhizomucor pusillus and Cryphonectria parasitica are currently used to replace the conventional milk-clotting enzymes. In addition, the dairy industry uses microbial endo and exoproteases for relatively new applications, such as debittering and flavor generation in cheese, accelerated cheese ripening, manufacture of protein hydrolysates with improved functional properties, and production of enzyme-modified cheeses. Lactic acid bacteria play an essential role in these processes, hence these bacteria and the proteases they produce are currently being investigated by the dairy industry and are the subject of many of their patent applications.

Model For Marketing Strategy Decision Based On Multicriteria Decicion Making: A Case Study In Batik Madura Industry

NASA Astrophysics Data System (ADS)

Anna, I. D.; Cahyadi, I.; Yakin, A.

2018-01-01

Selection of marketing strategy is a prominent competitive advantage for small and medium enterprises business development. The selection process is is a multiple criteria decision-making problem, which includes evaluation of various attributes or criteria in a process of strategy formulation. The objective of this paper is to develop a model for the selection of a marketing strategy in Batik Madura industry. The current study proposes an integrated approach based on analytic network process (ANP) and technique for order preference by similarity to ideal solution (TOPSIS) to determine the best strategy for Batik Madura marketing problems. Based on the results of group decision-making technique, this study selected fourteen criteria, including consistency, cost, trend following, customer loyalty, business volume, uniqueness manpower, customer numbers, promotion, branding, bussiness network, outlet location, credibility and the inovation as Batik Madura marketing strategy evaluation criteria. A survey questionnaire developed from literature review was distributed to a sample frame of Batik Madura SMEs in Pamekasan. In the decision procedure step, expert evaluators were asked to establish the decision matrix by comparing the marketing strategy alternatives under each of the individual criteria. Then, considerations obtained from ANP and TOPSIS methods were applied to build the specific criteria constraints and range of the launch strategy in the model. The model in this study demonstrates that, under current business situation, Straight-focus marketing strategy is the best marketing strategy for Batik Madura SMEs in Pamekasan.

Improved NASA-ANOPP Noise Prediction Computer Code for Advanced Subsonic Propulsion Systems. Volume 2; Fan Suppression Model Development

NASA Technical Reports Server (NTRS)

Kontos, Karen B.; Kraft, Robert E.; Gliebe, Philip R.

1996-01-01

The Aircraft Noise Predication Program (ANOPP) is an industry-wide tool used to predict turbofan engine flyover noise in system noise optimization studies. Its goal is to provide the best currently available methods for source noise prediction. As part of a program to improve the Heidmann fan noise model, models for fan inlet and fan exhaust noise suppression estimation that are based on simple engine and acoustic geometry inputs have been developed. The models can be used to predict sound power level suppression and sound pressure level suppression at a position specified relative to the engine inlet.

Using Generic and Pesticide DRASTIC GIS-based models for vulnerability assessment of the Quaternary aquifer at Sohag, Egypt

NASA Astrophysics Data System (ADS)

Ahmed, Ayman A.

2009-07-01

Groundwater resources in the Sohag area, Egypt are currently threatened by contamination from municipal and industrial activities, and agricultural pesticides. To cope with the growing population, there has been development in the desert zone on both sides of the Nile Valley including agricultural investment areas, wastewater disposal sites, new urban areas, and industry. Use of agrochemicals in the old cultivated and newly reclaimed lands and wastewater disposal sites in the study area represent the most hazardous contamination sources. Prevention of contamination and management of the Quaternary aquifer is urgently needed. To address vulnerability assessment of the Quaternary aquifer, the Generic and Pesticide DRASTIC GIS-based models have been used. The Generic DRASTIC index ranged between 94 and 189, and the Pesticide DRASTIC index ranged between 94 and 226. The results showed that 83% of the Quaternary aquifer is characterized by the high and very high vulnerability classes to municipal, industrial and agricultural pesticides contamination. It was found that nearly all the development projects are located in the very high vulnerability class areas. Management alternatives for the Quaternary aquifer may be improved by application of these models, allowing sensitive groundwater sources to be protected for continuing use in the future.

Commentary: University-Industry Alliances.

ERIC Educational Resources Information Center

Nelkin, Dorothy; And Others

1987-01-01

Addresses issues and assesses developments in research and development collaborative efforts between universities and industry. Provides an historical context and explores current industry-university alliances. (ML)

The NASA-JPL advanced propulsion program

NASA Technical Reports Server (NTRS)

Frisbee, Robert H.

1994-01-01

The NASA Advanced Propulsion Concepts (APC) program at the Jet Propulsion Laboratory (JPL) consists of two main areas: The first involves cooperative modeling and research activities between JPL and various universities and industry; the second involves research at universities and industry that is directly supported by JPL. The cooperative research program consists of mission studies, research and development of ion engine technology using C-60 (Buckminsterfullerene) propellant, and research and development of lithium-propellant Lorentz-force accelerator (LFA) engine technology. The university/industry- supported research includes research (modeling and proof-of-concept experiments) in advanced, long-life electric propulsion, and in fusion propulsion. These propulsion concepts were selected primarily to cover a range of applications from near-term to far-term missions. For example, the long-lived pulsed-xenon thruster research that JPL is supporting at Princeton University addresses the near-term need for efficient, long-life attitude control and station-keeping propulsion for Earth-orbiting spacecraft. The C-60-propellant ion engine has the potential for good efficiency in a relatively low specific impulse (Isp) range (10,000 - 30,000 m/s) that is optimum for relatively fast (less than 100 day) cis-lunar (LEO/GEO/Lunar) missions employing near-term, high-specific mass electric propulsion vehicles. Research and modeling on the C-60-ion engine are currently being performed by JPL (engine demonstration), Caltech (C-60 properties), MIT (plume modeling), and USC (diagnostics). The Li-propellant LFA engine also has good efficiency in the modest Isp range (40,000 - 50,000 m/s) that is optimum for near-to-mid-term megawatt-class solar- and nuclear-electric propulsion vehicles used for Mars missions transporting cargo (in support of a piloted mission). Research and modeling on the Li-LFA engine are currently being performed by JPL (cathode development), Moscow Aviation Institute (engine testing), Thermacore (electrode development), as well as at MIT (plume modeling), and USC (diagnostics). Also, the mission performance of a nuclear-electric propulsion (NEP) Li-LFA Mars cargo vehicle is being modeled by JPL (mission analysis; thruster and power processor modeling) and the Rocketdyne Energy Technology and Engineering Center (ETEC) (power system modeling). Finally, the fusion propulsion research activities that JPL is supporting at Pennsylvania State University (PSU) and at Lawrenceville Plasma Physics (LPP) are aimed at far-term fast (less than 100 day round trip) piloted Mars missions and, in the very far term, interstellar missions.

Genome-scale metabolic model for Lactococcus lactis MG1363 and its application to the analysis of flavor formation.

PubMed

Flahaut, Nicolas A L; Wiersma, Anne; van de Bunt, Bert; Martens, Dirk E; Schaap, Peter J; Sijtsma, Lolke; Dos Santos, Vitor A Martins; de Vos, Willem M

2013-10-01

Lactococcus lactis subsp. cremoris MG1363 is a paradigm strain for lactococci used in industrial dairy fermentations. However, despite of its importance for process development, no genome-scale metabolic model has been reported thus far. Moreover, current models for other lactococci only focus on growth and sugar degradation. A metabolic model that includes nitrogen metabolism and flavor-forming pathways is instrumental for the understanding and designing new industrial applications of these lactic acid bacteria. A genome-scale, constraint-based model of the metabolism and transport in L. lactis MG1363, accounting for 518 genes, 754 reactions, and 650 metabolites, was developed and experimentally validated. Fifty-nine reactions are directly or indirectly involved in flavor formation. Flux Balance Analysis and Flux Variability Analysis were used to investigate flux distributions within the whole metabolic network. Anaerobic carbon-limited continuous cultures were used for estimating the energetic parameters. A thorough model-driven analysis showing a highly flexible nitrogen metabolism, e.g., branched-chain amino acid catabolism which coupled with the redox balance, is pivotal for the prediction of the formation of different flavor compounds. Furthermore, the model predicted the formation of volatile sulfur compounds as a result of the fermentation. These products were subsequently identified in the experimental fermentations carried out. Thus, the genome-scale metabolic model couples the carbon and nitrogen metabolism in L. lactis MG1363 with complete known catabolic pathways leading to flavor formation. The model provided valuable insights into the metabolic networks underlying flavor formation and has the potential to contribute to new developments in dairy industries and cheese-flavor research.

A systems approach for the development of a sustainable community--the application of the sensitivity model (SM).

PubMed

Chan, Shih-Liang; Huang, Shu-Li

2004-09-01

Corresponding to the concept of 'Think globally, act locally and plan regionally' of sustainable development, this paper discusses the approach of planning a sustainable community in terms of systems thinking. We apply a systems tool, the sensitivity model (SM), to build a model of the development of the community of Ping-Ding, located adjacent to the Yang-Ming-Shan National Park, Taiwan. The major issue in the development of Ping-Ding is the conflict between environmental conservation and the development of a local tourism industry. With the involvement of local residents, planners, and interest groups, a system model of 26 variables was defined to identify characteristics of Ping-Ding through pattern recognition. Two scenarios concerning the sustainable development of Ping-Ding are simulated with interlinked feedbacks from variables. The results of the analysis indicate that the development of Ping-Ding would be better served by the planning of agriculture and the tourism industry. The advantages and shortfalls of applying SM in the current planning environment of Taiwan are also discussed to conclude this paper.

On Parallelizing Single Dynamic Simulation Using HPC Techniques and APIs of Commercial Software

DOE Office of Scientific and Technical Information (OSTI.GOV)

Diao, Ruisheng; Jin, Shuangshuang; Howell, Frederic

Time-domain simulations are heavily used in today’s planning and operation practices to assess power system transient stability and post-transient voltage/frequency profiles following severe contingencies to comply with industry standards. Because of the increased modeling complexity, it is several times slower than real time for state-of-the-art commercial packages to complete a dynamic simulation for a large-scale model. With the growing stochastic behavior introduced by emerging technologies, power industry has seen a growing need for performing security assessment in real time. This paper presents a parallel implementation framework to speed up a single dynamic simulation by leveraging the existing stability model librarymore » in commercial tools through their application programming interfaces (APIs). Several high performance computing (HPC) techniques are explored such as parallelizing the calculation of generator current injection, identifying fast linear solvers for network solution, and parallelizing data outputs when interacting with APIs in the commercial package, TSAT. The proposed method has been tested on a WECC planning base case with detailed synchronous generator models and exhibits outstanding scalable performance with sufficient accuracy.« less

Discussion of examination of a cored hydraulic fracture in a deep gas well

DOE Office of Scientific and Technical Information (OSTI.GOV)

Nolte, K.G.

Warpinski et al. document information found from a core through a formation after a hydraulic fracture treatment. As they indicate, the core provides the first detailed evaluation of an actual propped hydraulic fracture away from the well and at a significant depth, and this evaluation leads to findings that deviate substantially from the assumptions incorporated into current fracturing models. In this discussion, a defense of current fracture design assumptions is developed. The affirmation of current assumptions, for general industry applications, is based on an assessment of the global impact of the local complexity found in the core. The assessment leadsmore » to recommendations for the evolution of fracture design practice.« less

Troika partnership model for licensing NASA-LaRC technologies

NASA Technical Reports Server (NTRS)

Maclin, Arlene P.

1995-01-01

The Technology Applications (TAG) Group at NASA Langley Research Center has currently more than 100 technologies that are ripe for commercialization. These technologies are categorized by various sectors including: Energy and the Environment; Materials and Structures; Manufacturing; Information and Communications; Transportation, and Medical/Sensor/ Instrumentation. A requirement that TAG has placed on all technologies ready for licensing is that there will be some university involvement in the technology transfer or knowledge transfer process. This model involves the troika of government (LaRC), industry and university. A number of variations on the Troika Partnership Model (TPM) were developed as a part of this ASEE Fellowship. Furthermore, five technologies were identified - three of which industrial interests have been matched: LaRC-SI, a thermoplastic that can be used as a coating; Variable Geometry Truss Manipulator Arm that can be used for nuclear waste clean -up and as scaffolding; and ADAPT (Approach to Data Management, Archive Protection, and Transmission) is a technology that could be used for a variety of multi-tasking operations over the Internet. The aim of this work was to initiate a Space Act Agreement (SAA) for at least one of these technologies using one of the options of the TPM. A preliminary partnership agreement using the SAA is currently being negotiated with NASA-LaRC, VPI and Virginia Power for the LaRC-SI thermoplastic that will be used as a coating.

Future Supply Chains Enabled by Continuous Processing-Opportunities Challenges May 20-21 2014 Continuous Manufacturing Symposium.

PubMed

Srai, Jagjit Singh; Badman, Clive; Krumme, Markus; Futran, Mauricio; Johnston, Craig

2015-03-01

This paper examines the opportunities and challenges facing the pharmaceutical industry in moving to a primarily "continuous processing"-based supply chain. The current predominantly "large batch" and centralized manufacturing system designed for the "blockbuster" drug has driven a slow-paced, inventory heavy operating model that is increasingly regarded as inflexible and unsustainable. Indeed, new markets and the rapidly evolving technology landscape will drive more product variety, shorter product life-cycles, and smaller drug volumes, which will exacerbate an already unsustainable economic model. Future supply chains will be required to enhance affordability and availability for patients and healthcare providers alike despite the increased product complexity. In this more challenging supply scenario, we examine the potential for a more pull driven, near real-time demand-based supply chain, utilizing continuous processing where appropriate as a key element of a more "flow-through" operating model. In this discussion paper on future supply chain models underpinned by developments in the continuous manufacture of pharmaceuticals, we have set out; The paper recognizes that although current batch operational performance in pharma is far from optimal and not necessarily an appropriate end-state benchmark for batch technology, the adoption of continuous supply chain operating models underpinned by continuous production processing, as full or hybrid solutions in selected product supply chains, can support industry transformations to deliver right-first-time quality at substantially lower inventory profiles. © 2015 The Authors. Journal of Pharmaceutical Sciences published by Wiley Periodicals, Inc. and the American Pharmacists Association. © 2014 Wiley Periodicals, Inc. and the American Pharmacists Association.

An Overview of Skill Standards Systems in Education & Industry. Systems in the U.S. and Abroad. Volume I.

ERIC Educational Resources Information Center

Institute for Educational Leadership, Washington, DC.

This first volume in a four-volume study of industry- and education-driven skill standards in the United States and other countries describes current practice. Chapter I is the executive summary. Chapter II is an overview of historical and current issues that will affect a voluntary network of industry-based skill standards, competencies, and…

Air quality and future energy system planning

NASA Astrophysics Data System (ADS)

Sobral Mourao, Zenaida; Konadu, Dennis; Lupton, Rick

2016-04-01

Ambient air pollution has been linked to an increasing number of premature deaths throughout the world. Projected increases in demand for food, energy resources and manufactured products will likely contribute to exacerbate air pollution with an increasing impact on human health, agricultural productivity and climate change. Current events such as tampering emissions tests by VW car manufacturers, failure to comply with EU Air Quality directives and WHO guidelines by many EU countries, the problem of smog in Chinese cities and new industrial emissions regulations represent unique challenges but also opportunities for regulators, local authorities and industry. However current models and practices of energy and resource use do not consider ambient air impacts as an integral part of the planing process. Furthermore the analysis of drivers, sources and impacts of air pollution is often fragmented, difficult to understand and lacks effective visualization tools that bring all of these components together. This work aims to develop a model that links impacts of air quality on human health and ecosystems to current and future developments in the energy system, industrial and agricultural activity and patterns of land use. The model will be added to the ForeseerTM tool, which is an integrated resource analysis platform that has been developed at the University of Cambridge initially with funding from BP and more recently through the EPSRC funded Whole Systems Energy Modeling (WholeSEM) project. The basis of the tool is a set of linked physical models for energy, water and land, including the technologies that are used to transform these resources into final services such as housing, food, transport and household goods. The new air quality model will explore different feedback effects between energy, land and atmospheric systems with the overarching goal of supporting better communication about the drivers of air quality and to incorporate concerns about air quality into energy system planning. Some example applications of this work are: (1) to discover conflicts and synergies between air quality regulations and future developments in the energy system and land use change; (2) to show the drivers of air quality in a given spatial context; (3) to explore effective ways to visualize impacts of different energy, land use and emissions control policies on air quality. An initial test case for the Bay Area in California will be presented, extending the scope of the existing California ForeseerTM tool to identify impacts of different policies within the water-energy-land nexus on local air quality.

Experimental primates and non-human primate (NHP) models of human diseases in China: current status and progress.

PubMed

Zhang, Xiao-Liang; Pang, Wei; Hu, Xin-Tian; Li, Jia-Li; Yao, Yong-Gang; Zheng, Yong-Tang

2014-11-18

Non-human primates (NHPs) are phylogenetically close to humans, with many similarities in terms of physiology, anatomy, immunology, as well as neurology, all of which make them excellent experimental models for biomedical research. Compared with developed countries in America and Europe, China has relatively rich primate resources and has continually aimed to develop NHPs resources. Currently, China is a leading producer and a major supplier of NHPs on the international market. However, there are some deficiencies in feeding and management that have hampered China's growth in NHP research and materials. Nonetheless, China has recently established a number of primate animal models for human diseases and achieved marked scientific progress on infectious diseases, cardiovascular diseases, endocrine diseases, reproductive diseases, neurological diseases, and ophthalmic diseases, etc. Advances in these fields via NHP models will undoubtedly further promote the development of China's life sciences and pharmaceutical industry, and enhance China's position as a leader in NHP research. This review covers the current status of NHPs in China and other areas, highlighting the latest developments in disease models using NHPs, as well as outlining basic problems and proposing effective countermeasures to better utilize NHP resources and further foster NHP research in China.

Summary of "Magnesium Vision 2020: A North American Automotive Strategic Vision for Magnesium"

NASA Astrophysics Data System (ADS)

Cole, Gerald S.

This paper summarizes the monograph, "Magnesium Vision 2020. A North American Automotive Strategic Vision for Magnesium"1 prepared under the auspices of the United States Automotive Materials Partnership The objective was to understand the infrastructural and technical challenge that can increase the use of magnesium in the automotive industry. One hundred sixty three (163) Research and Technology Development Themes (RTDTs), or RTD projects were developed that addressed issues of corrosion, fastening, and processing-other-than-high pressure die casting to produce automotive magnesium parts. A major problem identified in the study is the limited ability of the current magnesium industrial infrastructure to supply RTD and implementation-ready automotive magnesium components. One solution is to create a magnesium cyber center wrhere globally networked experts would be able to innovate in process and product development, model metalworking and non-HPDC foundry processes, and integrate theoretical predictions/models of metallurgical structure with component function.

High-power CO laser with RF discharge for isotope separation employing condensation repression

NASA Astrophysics Data System (ADS)

Baranov, I. Ya.; Koptev, A. V.

2008-10-01

High-power CO laser can be the effective tool in such applications as isotope separation using the free-jet CRISLA method. The way of transfer from CO small-scale experimental installation to industrial high-power CO lasers is proposed through the use of a low-current radio-frequency (RF) electric discharge in a supersonic stream without an electron gun. The calculation model of scaling CO laser with RF discharge in supersonic stream was developed. The developed model allows to calculate parameters of laser installation and optimize them with the purpose of reception of high efficiency and low cost of installation as a whole. The technical decision of industrial CO laser for isotope separation employing condensation repression is considered. The estimated cost of laser is some hundred thousand dollars USA and small sizes of laser head give possibility to install it in any place.

A NASA/Industry/University Partnership for Development of Dual-Use Vibration Isolation Technology

NASA Technical Reports Server (NTRS)

Tinker, Michael L.

1994-01-01

A partnership is described that was formed as a result of a NASA university grant for the study of wire rope vibration isolation systems. Vibration isolators of this type are currently used in the Space Shuttle Orbiter and engine test facility, and have potential application in the international space station and other space vehicles. Wire rope isolators were considered for use on the Hubble Space Telescope and the military has used wire rope technology extensively. The desire of the wire rope industry to expand sales in commercial markets coupled with results of the prior NASA funded study, led to the formation of a partnership including NASA, the university involved in the research grant, and a small company that designs wire rope systems. Goals include the development of improved mathematical models and a designers handbook to facilitate the use of the new modeling tools.

Animal models to detect allergenicity to foods and genetically modified products: workshop summary.

PubMed Central

Tryphonas, Helen; Arvanitakis, George; Vavasour, Elizabeth; Bondy, Genevieve

2003-01-01

Respiratory allergy and allergy to foods continue to be important health issues. There is evidence to indicate that the incidence of food allergy around the world is on the rise. Current estimates indicate that approximately 5% of young children and 1-2% of adults suffer from true food allergy (Kagan 2003). Although a large number of in vivo and in vitro tests exist for the clinical diagnosis of allergy in humans, we lack validated animal models of allergenicity. This deficiency creates serious problems for regulatory agencies and industries that must define the potential allergenicity of foods before marketing. The emergence of several biotechnologically derived foods and industrial proteins, as well as their potential to sensitize genetically predisposed populations to develop allergy, has prompted health officials and regulatory agencies around the world to seek approaches and methodologies to screen novel proteins for allergenicity. PMID:12573909

Computational fluid dynamics for propulsion technology: Geometric grid visualization in CFD-based propulsion technology research

NASA Technical Reports Server (NTRS)

Ziebarth, John P.; Meyer, Doug

1992-01-01

The coordination is examined of necessary resources, facilities, and special personnel to provide technical integration activities in the area of computational fluid dynamics applied to propulsion technology. Involved is the coordination of CFD activities between government, industry, and universities. Current geometry modeling, grid generation, and graphical methods are established to use in the analysis of CFD design methodologies.

Defense Acquisition Review Journal. Volume 16, Number 2

DTIC Science & Technology

2009-07-01

current status of the conventional munitions industry in the United States today and provides an economic theory for reviving this declining, but...Avant, 2007). United States Naval War College Professor Larry McCabe observed that an economic aspect to the emergence of private security...flows, feedback, and nonlinear relationships in managerial control. The methodology’s ability to model many diverse system components (e.g., work

Bridging the Field Trip Gap: Integrating Web-Based Video as a Teaching and Learning Partner in Interior Design Education

ERIC Educational Resources Information Center

Roehl, Amy

2013-01-01

This study utilizes web-based video as a strategy to transfer knowledge about the interior design industry in a format that interests the current generation of students. The model of instruction developed is based upon online video as an engaging, economical, and time-saving alternative to a field trip, guest speaker, or video teleconference.…

A COMPARISON OF AIRFLOW PATTERNS FROM THE QUIC MODEL AND AN ATMOSPHERIC WIND TUNNEL FOR A TWO-DIMENSIONAL BUILDING ARRAY AND A MULTI-CITY BLOCK REGION NEAR THE WORLD TRADE CENTER SITE

EPA Science Inventory

Dispersion of pollutants in densely populated urban areas is a research area of clear importance. Currently, few numerical tools exist capable of describing airflow and dispersion patterns in these complex regions in a time efficient manner. (QUIC), Quick Urban & Industrial C...

Simulation of raw water and treatment parameters in support of the disinfection by-products regulatory impact analysis

DOE Office of Scientific and Technical Information (OSTI.GOV)

Regli, S.; Cromwell, J.; Mosher, J.

The U.S. EPA has undertaken an effort to model how the water supply industry may respond to possible rules and how those responses may affect human health risk. The model is referred to as the Disinfection By-Product Regulatory Analysis Model (DBPRAM), The paper is concerned primarily with presenting and discussing the methods, underlying data, assumptions, limitations and results for the first part of the model. This part of the model shows the creation of sets of simulated water supplies that are representative of the conditions currently encountered by public water supplies with respect to certain raw water quality and watermore » treatment characteristics.« less

From bench to patient: model systems in drug discovery

PubMed Central

Breyer, Matthew D.; Look, A. Thomas; Cifra, Alessandra

2015-01-01

ABSTRACT Model systems, including laboratory animals, microorganisms, and cell- and tissue-based systems, are central to the discovery and development of new and better drugs for the treatment of human disease. In this issue, Disease Models & Mechanisms launches a Special Collection that illustrates the contribution of model systems to drug discovery and optimisation across multiple disease areas. This collection includes reviews, Editorials, interviews with leading scientists with a foot in both academia and industry, and original research articles reporting new and important insights into disease therapeutics. This Editorial provides a summary of the collection's current contents, highlighting the impact of multiple model systems in moving new discoveries from the laboratory bench to the patients' bedsides. PMID:26438689

Animal models of listeriosis: a comparative review of the current state of the art and lessons learned

PubMed Central

2012-01-01

Listeriosis is a leading cause of hospitalization and death due to foodborne illness in the industrialized world. Animal models have played fundamental roles in elucidating the pathophysiology and immunology of listeriosis, and will almost certainly continue to be integral components of the research on listeriosis. Data derived from animal studies helped for example characterize the importance of cell-mediated immunity in controlling infection, allowed evaluation of chemotherapeutic treatments for listeriosis, and contributed to quantitative assessments of the public health risk associated with L. monocytogenes contaminated food commodities. Nonetheless, a number of pivotal questions remain unresolved, including dose-response relationships, which represent essential components of risk assessments. Newly emerging data about species-specific differences have recently raised concern about the validity of most traditional animal models of listeriosis. However, considerable uncertainty about the best choice of animal model remains. Here we review the available data on traditional and potential new animal models to summarize currently recognized strengths and limitations of each model. This knowledge is instrumental for devising future studies and for interpreting current data. We deliberately chose a historical, comparative and cross-disciplinary approach, striving to reveal clues that may help predict the ultimate value of each animal model in spite of incomplete data. PMID:22417207

Animal models of listeriosis: a comparative review of the current state of the art and lessons learned.

PubMed

Hoelzer, Karin; Pouillot, Régis; Dennis, Sherri

2012-03-14

Listeriosis is a leading cause of hospitalization and death due to foodborne illness in the industrialized world. Animal models have played fundamental roles in elucidating the pathophysiology and immunology of listeriosis, and will almost certainly continue to be integral components of the research on listeriosis. Data derived from animal studies helped for example characterize the importance of cell-mediated immunity in controlling infection, allowed evaluation of chemotherapeutic treatments for listeriosis, and contributed to quantitative assessments of the public health risk associated with L. monocytogenes contaminated food commodities. Nonetheless, a number of pivotal questions remain unresolved, including dose-response relationships, which represent essential components of risk assessments. Newly emerging data about species-specific differences have recently raised concern about the validity of most traditional animal models of listeriosis. However, considerable uncertainty about the best choice of animal model remains. Here we review the available data on traditional and potential new animal models to summarize currently recognized strengths and limitations of each model. This knowledge is instrumental for devising future studies and for interpreting current data. We deliberately chose a historical, comparative and cross-disciplinary approach, striving to reveal clues that may help predict the ultimate value of each animal model in spite of incomplete data.

Industrial bioprocesses: beyond routine applications of established methodologies.

PubMed

Junker, Beth

2010-04-15

The subject matter of manuscripts by industrial authors has primarily focused on elements with perceived commercial or regulatory significance. Once published, this information interacted and ultimately influenced manuscripts from authors of other affiliations, creating the rapid advancements that culminated in the current multi-billion dollar worldwide biotechnology industry. This paper discusses trends in "solely industrial" articles published in the specific journal of Biotechnology and Bioengineering over the past five decades of this journal's lifetime. "Solely industrial" articles were defined as papers in which all the authors were affiliated with industry. Data were gathered concerning "solely industrial" article distribution and frequency, authoring companies, subject classification, and category distribution. Selected articles and their impact were related to current and past technology milestones as well as associated challenges. Suggestions for areas of greater emphasis to influence the number and subject matter of "solely industrial" articles for the journal's sixth decade were offered for consideration.

Development of a CFD code for casting simulation

NASA Technical Reports Server (NTRS)

Murph, Jesse E.

1992-01-01

The task of developing a computational fluid dynamics (CFD) code to accurately model the mold filling phase of a casting operation was accomplished in a systematic manner. First the state-of-the-art was determined through a literature search, a code search, and participation with casting industry personnel involved in consortium startups. From this material and inputs from industry personnel, an evaluation of the currently available codes was made. It was determined that a few of the codes already contained sophisticated CFD algorithms and further validation of one of these codes could preclude the development of a new CFD code for this purpose. With industry concurrence, ProCAST was chosen for further evaluation. Two benchmark cases were used to evaluate the code's performance using a Silicon Graphics Personal Iris system. The results of these limited evaluations (because of machine and time constraints) are presented along with discussions of possible improvements and recommendations for further evaluation.

Modeling track access charge to enhance railway industry performance

NASA Astrophysics Data System (ADS)

Berawi, Mohammed Ali; Miraj, Perdana; Berawi, Abdur Rohim Boy; Susantono, Bambang; Leviakangas, Pekka; Radiansyah, Hendra

2017-11-01

Indonesia attempts to improve nation's competitiveness by increasing the quality and the availability of railway network. However, the infrastructure improperly managed by the operator in terms of the technical issue. One of the reasons for this problem is an unbalanced value of infrastructure charge. In 2000's track access charge and infrastructure maintenance and operation for Indonesia railways are equal and despite current formula of the infrastructure charge, issues of transparency and accountability still in question. This research aims to produce an alternative scheme of track access charge by considering marginal cost plus markup (MC+) approach. The research combines qualitative and quantitative method through an in-depth interview and financial analysis. The result will generate alternative formula of infrastructure charge in Indonesia's railway industry. The simulation also conducted to estimate track access charge for the operator and to forecast government support in terms of subsidy. The result is expected to enhance railway industry performance and competitiveness.

The development of the ICME supply-chain: Route to ICME implementation and sustainment

NASA Astrophysics Data System (ADS)

Furrer, David; Schirra, John

2011-04-01

Over the past twenty years, integrated computational materials engineering (ICME) has emerged as a key engineering field with great promise. Models simulating materials-related phenomena have been developed and are being validated for industrial application. The integration of computational methods into material, process and component design has been a challenge, however, in part due to the complexities in the development of an ICME "supply-chain" that supports, sustains and delivers this emerging technology. ICME touches many disciplines, which results in a requirement for many types of computational-based technology organizations to be involved to provide tools that can be rapidly developed, validated, deployed and maintained for industrial applications. The need for, and the current state of an ICME supply-chain along with development and future requirements for the continued pace of introduction of ICME into industrial design practices will be reviewed within this article.

Current and Future Developments in Air Traffic Control

NASA Technical Reports Server (NTRS)

Jackson, Joseph; Green, Steven M.

1999-01-01

Current and future energy demands, end uses, and cost used to characterize typical applications services in the industrial sector of the United States are examined. A review and evaluation of existing industrial energy data bases was undertaken to assess their potential for supporting SERI research market suitability analysis; (2) market development; (3) end use matching; (4) industrial application studies; and (5) identification of cost and performance goals for solar systems and typical information requirements for industrial energy end use. The focus was on fuels and electric energy used for heat and power purchased by the manufacturing subsector and listed by 2, 3, and 4 digit SIC, primary fuel. The effects of federal and state industrial energy conservation programs on future industrial sector demands were assessed.

77 FR 4368 - Advanced Energy Industries, Inc., Including On-Site Leased Workers From Mid Oregon Personnel...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-01-27

... Unemployment Insurance (UI) Wages Are Reported Through PV Powered, Currently Known as AE Solar Energy, Inc... Energy Industries purchased PV Powered, currently known as AE Solar Energy, Inc. in May 2010. Some... separate unemployment insurance (UI) tax account under the name PV Powered, currently known as AE Solar...

The application of chemical leasing business models in Mexico.

PubMed

Schwager, Petra; Moser, Frank

2006-03-01

To better address the requirements of the changing multilateral order, the United Nations Industrial Development Organization (UNIDO) Cleaner Production Programme, in 2004, developed the new Sustainable Industrial Resource Management (SIRM) approach. This approach is in accordance with the principles decided at the United Nations Conference on Environment and Development (UNCED) in Rio de Janeiro, Brazil in 1992. Unlike the traditional approaches to environmental management, the SIRM concept captures the idea of achieving sustainable industrial development through the implementation of circular material and energy flows in the entire production chain and reduction of the amount of material and energy used with greater efficiency solutions. The SIRM approach seeks to develop new models to encourage a shift from selling products to supplying services, modifying, in this manner, the supplier/user relationship and resulting in a win-win situation for the economy and the environment. Chemical Leasing represents such a new service-oriented business model and is currently being promoted by UNIDO's Cleaner Production Programme. MAIN FEATURES. One of the potential approaches to address the problems related to ineffective use and over-consumption of chemicals is the development and implementation of Chemical Leasing business models. These provide concrete solutions to the effective management of chemicals and on the ways negative releases to the environment can be reduced. The Chemical Leasing approach is a strategy that addresses the obligations of the changing international chemicals policy by focusing on a more service-oriented strategy. Mexico is one of the countries that were selected for the implementation of UNIDO's demonstration project to promote Chemical Leasing models in the country. The target sector of this project is the chemical industry, which is expected to shift their traditional business concept towards a more service and value-added approach. This is being achieved through the development of company specific business models that implement the above-indicated Chemical Leasing concept with the support from the Mexican National Cleaner Production Centre (NCPC). The implementation of Chemical Leasing in Mexico has proven to be an efficient instrument in enhancing sustainable chemical management and significantly reducing emissions in Mexico. Several companies from the chemical industrial sector implement or agreed to implement chemical leasing business models. Based on the positive findings of the project, several Mexican companies started to negotiate contents of possible Chemical Leasing contracts with suitable business partners. The project further aimed at disseminating information on Chemical Leasing. It successfully attracted globally operating companies in the chemicals sector to explore possibilities to implement Chemical Leasing business models in Mexico. At the international level, the results of the UNIDO project were presented on 20th September 2005 during a side event of the Strategic Approach to International Chemicals Management (SAICM) Preparation Conference in Vienna. To facilitate the promotion and application of Chemical Leasing project at international level, UNIDO is currently developing a number of tools to standardize Chemical Leasing projects. These include, among others, Chemical leasing contract models; Chemical Leasing data base to find partners for chemical leasing; and guidelines to implement Chemical Leasing projects and work programmes.

49 CFR 95.11 - Meetings; industry advisory committees.

Code of Federal Regulations, 2010 CFR

2010-10-01

... 49 Transportation 1 2010-10-01 2010-10-01 false Meetings; industry advisory committees. 95.11... Meetings; industry advisory committees. (a) Meetings of an industry advisory committee may be held only at...) No industry advisory committee may receive, compile, or discuss data or reports showing the current...

49 CFR 95.11 - Meetings; industry advisory committees.

Code of Federal Regulations, 2012 CFR

2012-10-01

... 49 Transportation 1 2012-10-01 2012-10-01 false Meetings; industry advisory committees. 95.11... Meetings; industry advisory committees. (a) Meetings of an industry advisory committee may be held only at...) No industry advisory committee may receive, compile, or discuss data or reports showing the current...

49 CFR 95.11 - Meetings; industry advisory committees.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 49 Transportation 1 2011-10-01 2011-10-01 false Meetings; industry advisory committees. 95.11... Meetings; industry advisory committees. (a) Meetings of an industry advisory committee may be held only at...) No industry advisory committee may receive, compile, or discuss data or reports showing the current...

Clinical Trial Data as Public Goods: Fair Trade and the Virtual Knowledge Bank as a Solution to the Free Rider Problem - A Framework for the Promotion of Innovation by Facilitation of Clinical Trial Data Sharing among Biopharmaceutical Companies in the Era of Omics and Big Data.

PubMed

Evangelatos, Nikolaos; Reumann, Matthias; Lehrach, Hans; Brand, Angela

2016-01-01

Knowledge in the era of Omics and Big Data has been increasingly conceptualized as a public good. Sharing of de-identified patient data has been advocated as a means to increase confidence and public trust in the results of clinical trials. On the other hand, research has shown that the current research and development model of the biopharmaceutical industry has reached its innovation capacity. In response to that, the biopharmaceutical industry has adopted open innovation practices, with sharing of clinical trial data being among the most interesting ones. However, due to the free rider problem, clinical trial data sharing among biopharmaceutical companies could undermine their innovativeness. Based on the theory of public goods, we have developed a commons arrangement and devised a model, which enables secure and fair clinical trial data sharing over a Virtual Knowledge Bank based on a web platform. Our model uses data as a virtual currency and treats knowledge as a club good. Fair sharing of clinical trial data over the Virtual Knowledge Bank has positive effects on the innovation capacity of the biopharmaceutical industry without compromising the intellectual rights, proprietary interests and competitiveness of the latter. The Virtual Knowledge Bank is a sustainable and self-expanding model for secure and fair clinical trial data sharing that allows for sharing of clinical trial data, while at the same time it increases the innovation capacity of the biopharmaceutical industry. © 2016 S. Karger AG, Basel.

Technological innovation, human capital and social change for sustainability. Lessons learnt from the industrial technologies theme of the EU's Research Framework Programme.

PubMed

Sabadie, Jesús Alquézar

2014-05-15

Europe is facing a twofold challenge. It must maintain or even increase its competitiveness, a basic requirement in a globalised economy and under the current demographic threat. It needs also to tackle the so-called "grand challenges", especially environmental issues, through a sustainable model of production and consumption. Such challenges should lead to new business and industrial models, based on more sustainable production and consumption chains, from design to end of life. This implies a need for new industrial materials and processes, new skills and, indeed, new values and life-styles. Sustainability and innovation are key elements of EU's Research and Innovation Framework Programmes, particularly in the field of industrial technologies (nanotechnologies, materials and industrial technologies), which objective is to "improve the competitiveness of the European industry and generate knowledge to ensure its transformation from a resource intensive to a knowledge intensive industry". Sustainability and innovation are interrelated challenges for R&D. Research can develop technical solutions to tackle environmental or societal challenges, but such technologies need to be successfully commercialised to have a real environmental impact. Several socio-economic studies carried-out by the European Commission show not only the emerging technological and industrial trends, but they also emphasise the need for linking sustainable technologies with social change. Human capital and new social behaviours are critical factors to combine economic competitiveness and sustainability: technology alone is no longer able to solve global challenges. But what kind of human capital (skills, behaviours, and values) are we referring to? How to encourage the shift towards a greener society through human capital? Which reforms are needed in education systems to move towards a sustainable economy? Are there examples of social innovation to be extrapolated and/or generalised? © 2013 Elsevier B.V. All rights reserved.

Mechanistic Approach to Stability Studies as a Tool for the Optimization and Development of New Products Based on L. rhamnosus Lcr35® in Compliance with Current Regulations

PubMed Central

Muller, Claudia; Busignies, Virginie; Mazel, Vincent; Forestier, Christiane; Nivoliez, Adrien; Tchoreloff, Pierre

2013-01-01

Probiotics are of great current interest in the pharmaceutical industry because of their multiple effects on human health. To beneficially affect the host, an adequate dosage of the probiotic bacteria in the product must be guaranteed from the time of manufacturing to expiration date. Stability test guidelines as laid down by the ICH-Q1A stipulate a minimum testing period of 12 months. The challenge for producers is to reduce this time. In this paper, a mechanistic approach using the Arrhenius model is proposed to predict stability. Applied for the first time to laboratory and industrial probiotic powders, the model was able to provide a reliable mathematical representation of the effects of temperature on bacterial death (R2>0.9). The destruction rate (k) was determined according to the manufacturing process, strain and storage conditions. The marketed product demonstrated a better stability (k = 0.08 months−1) than the laboratory sample (k = 0.80 months−1). With industrial batches, k obtained at 6 months of studies was comparable to that obtained at 12 months, evidence of the model’s robustness. In addition, predicted values at 12 months were greatly similar (±30%) to those obtained by real-time assessing the model’s reliability. This method could be an interesting approach to predict the probiotic stability and could reduce to 6 months the length of stability studies as against 12 (ICH guideline) or 24 months (expiration date). PMID:24244412

Simulation of Theoretical Most-Extreme Geomagnetic Sudden Commencements

NASA Astrophysics Data System (ADS)

Welling, D. T.; Love, J. J.; Wiltberger, M. J.; Rigler, E. J.

2016-12-01

We report results from a numerical simulation of geomagnetic sudden commencements driven by solar wind conditions given by theoretical-limit extreme coronal-mass ejections (CMEs) estimated by Tsurutani and Lakhina [2014]. The CME characteristics at Earth are a step function that jumps from typical quiet values to 2700 km/s flow speed and a magnetic field magnitude of 127 nT. These values are used to drive three coupled models: a global magnetohydrodynamic (MHD) magnetospheric model (BATS-R-US), a ring current model (the Rice Convection Model, RCM), and a height-integrated ionospheric electrodynamics model (the Ridley Ionosphere Model, RIM), all coupled together using the Space Weather Modeling Framework (SWMF). Additionally, simulations from the Lyon-Fedder-Mobarry MHD model are performed for comparison. The commencement is simulated with both purely northward and southward IMF orientations. Low-latitude ground-level geomagnetic variations, both B and dB/dt, are estimated in response to the storm sudden commencement. For a northward interplanetary magnetic field (IMF) storm, the combined models predict a maximum sudden commencement response, Dst-equivalent of +200 nT and a maximum local dB/dt of 200nT/s. While this positive Dst response is driven mainly by magnetopause currents, complicated and dynamic Birkeland current patterns also develop, which drive the strong dB/dt responses at high latitude. For southward IMF conditions, erosion of dayside magnetic flux allows magnetopause currents to approach much closer to the Earth, leading to a stronger terrestrial response (Dst-equivalent of +250 nT). Further, high latitude signals from Region 1 Birkeland currents move to lower latitudes during the southward IMF case, increasing the risk to populated areas around the globe. Results inform fundamental understanding of solar-terrestrial interaction and benchmark estimates for induction hazards of interest to the electric-power grid industry.

Adaptive sparse grid approach for the efficient simulation of pulsed eddy current testing inspections

NASA Astrophysics Data System (ADS)

Miorelli, Roberto; Reboud, Christophe

2018-04-01

Pulsed Eddy Current Testing (PECT) is a popular NonDestructive Testing (NDT) technique for some applications like corrosion monitoring in the oil and gas industry, or rivet inspection in the aeronautic area. Its particularity is to use a transient excitation, which allows to retrieve more information from the piece than conventional harmonic ECT, in a simpler and cheaper way than multi-frequency ECT setups. Efficient modeling tools prove, as usual, very useful to optimize experimental sensors and devices or evaluate their performance, for instance. This paper proposes an efficient simulation of PECT signals based on standard time harmonic solvers and use of an Adaptive Sparse Grid (ASG) algorithm. An adaptive sampling of the ECT signal spectrum is performed with this algorithm, then the complete spectrum is interpolated from this sparse representation and PECT signals are finally synthesized by means of inverse Fourier transform. Simulation results corresponding to existing industrial configurations are presented and the performance of the strategy is discussed by comparison to reference results.

Satellites vs. fiber optics based networks and services - Road map to strategic planning

NASA Astrophysics Data System (ADS)

Marandi, James H. R.

An overview of a generic telecommunications network and its components is presented, and the current developments in satellite and fiber optics technologies are discussed with an eye on the trends in industry. A baseline model is proposed, and a cost comparison of fiber- vs satellite-based networks is made. A step-by-step 'road map' to the successful strategic planning of telecommunications services and facilities is presented. This road map provides for optimization of the current and future networks and services through effective utilization of both satellites and fiber optics. The road map is then applied to different segments of the telecommunications industry and market place, to show its effectiveness for the strategic planning of executives of three types: (1) those heading telecommunications manufacturing concerns, (2) those leading communication service companies, and (3) managers of telecommunication/MIS departments of major corporations. Future networking issues, such as developments in integrated-services digital network standards and technologies, are addressed.

Genome-scale model-driven strain design for dicarboxylic acid production in Yarrowia lipolytica.

PubMed

Mishra, Pranjul; Lee, Na-Rae; Lakshmanan, Meiyappan; Kim, Minsuk; Kim, Byung-Gee; Lee, Dong-Yup

2018-03-19

Recently, there have been several attempts to produce long-chain dicarboxylic acids (DCAs) in various microbial hosts. Of these, Yarrowia lipolytica has great potential due to its oleaginous characteristics and unique ability to utilize hydrophobic substrates. However, Y. lipolytica should be further engineered to make it more competitive: the current approaches are mostly intuitive and cumbersome, thus limiting its industrial application. In this study, we proposed model-guided metabolic engineering strategies for enhanced production of DCAs in Y. lipolytica. At the outset, we reconstructed genome-scale metabolic model (GSMM) of Y. lipolytica (iYLI647) by substantially expanding the previous models. Subsequently, the model was validated using three sets of published culture experiment data. It was finally exploited to identify genetic engineering targets for overexpression, knockout, and cofactor modification by applying several in silico strain design methods, which potentially give rise to high yield production of the industrially relevant long-chain DCAs, e.g., dodecanedioic acid (DDDA). The resultant targets include (1) malate dehydrogenase and malic enzyme genes and (2) glutamate dehydrogenase gene, in silico overexpression of which generated additional NADPH required for fatty acid synthesis, leading to the increased DDDA fluxes by 48% and 22% higher, respectively, compared to wild-type. We further investigated the effect of supplying branched-chain amino acids on the acetyl-CoA turn-over rate which is key metabolite for fatty acid synthesis, suggesting their significance for production of DDDA in Y. lipolytica. In silico model-based strain design strategies allowed us to identify several metabolic engineering targets for overproducing DCAs in lipid accumulating yeast, Y. lipolytica. Thus, the current study can provide a methodological framework that is applicable to other oleaginous yeasts for value-added biochemical production.

Future Supply Chains Enabled by Continuous Processing—Opportunities and Challenges. May 20–21, 2014 Continuous Manufacturing Symposium

PubMed Central

Srai, Jagjit Singh; Badman, Clive; Krumme, Markus; Futran, Mauricio; Johnston, Craig

2015-01-01

This paper examines the opportunities and challenges facing the pharmaceutical industry in moving to a primarily “continuous processing”-based supply chain. The current predominantly “large batch” and centralized manufacturing system designed for the “blockbuster” drug has driven a slow-paced, inventory heavy operating model that is increasingly regarded as inflexible and unsustainable. Indeed, new markets and the rapidly evolving technology landscape will drive more product variety, shorter product life-cycles, and smaller drug volumes, which will exacerbate an already unsustainable economic model. Future supply chains will be required to enhance affordability and availability for patients and healthcare providers alike despite the increased product complexity. In this more challenging supply scenario, we examine the potential for a more pull driven, near real-time demand-based supply chain, utilizing continuous processing where appropriate as a key element of a more “flow-through” operating model. In this discussion paper on future supply chain models underpinned by developments in the continuous manufacture of pharmaceuticals, we have set out; The significant opportunities to moving to a supply chain flow-through operating model, with substantial opportunities in inventory reduction, lead-time to patient, and radically different product assurance/stability regimes. Scenarios for decentralized production models producing a greater variety of products with enhanced volume flexibility. Production, supply, and value chain footprints that are radically different from today's monolithic and centralized batch manufacturing operations. Clinical trial and drug product development cost savings that support more rapid scale-up and market entry models with early involvement of SC designers within New Product Development. The major supply chain and industrial transformational challenges that need to be addressed. The paper recognizes that although current batch operational performance in pharma is far from optimal and not necessarily an appropriate end-state benchmark for batch technology, the adoption of continuous supply chain operating models underpinned by continuous production processing, as full or hybrid solutions in selected product supply chains, can support industry transformations to deliver right-first-time quality at substantially lower inventory profiles. © 2015 The Authors. Journal of Pharmaceutical Sciences published by Wiley Periodicals, Inc. and the American Pharmacists Association J Pharm Sci 104:840–849, 2015 PMID:25631279

Applying Quality Function Deployment in Industrial Design Curriculum Planning

ERIC Educational Resources Information Center

Liu, Shuo-Fang; Lee, Yann-Long; Lin, Yi-Zhi; Tseng, Chien-Feng

2013-01-01

Industrial design is a discipline that combines multiple professional fields. Enterprise demands for industrial design competencies also change over time; thus, the curriculum of industrial design education should be compatible with the current demands of the industry. However, scientific approaches have not been previously employed to plan…

Space market model development project

NASA Technical Reports Server (NTRS)

Bishop, Peter C.

1987-01-01

The objectives of the research program, Space Market Model Development Project, (Phase 1) were: (1) to study the need for business information in the commercial development of space; and (2) to propose a design for an information system to meet the identified needs. Three simultaneous research strategies were used in proceeding toward this goal: (1) to describe the space business information which currently exists; (2) to survey government and business representatives on the information they would like to have; and (3) to investigate the feasibility of generating new economical information about the space industry.

The Food Marketing Defense Model: Integrating Psychological Research to Protect Youth and Inform Public Policy.

PubMed

Harris, Jennifer L; Brownell, Kelly D; Bargh, John A

2009-12-01

Marketing practices that promote calorie-dense, nutrient-poor foods directly to children and adolescents present significant public health risk. Worldwide, calls for government action and industry change to protect young people from the negative effects of food marketing have increased. Current proposals focus on restricting television advertising to children under 12 years old, but current psychological models suggest that much more is required. All forms of marketing pose considerable risk; adolescents are also highly vulnerable; and food marketing may produce far-reaching negative health outcomes. We propose a food marketing defense model that posits four necessary conditions to effectively counter harmful food marketing practices: awareness, understanding, ability and motivation to resist. A new generation of psychological research is needed to examine each of these processes, including the psychological mechanisms through which food marketing affects young people, to identify public policy that will effectively protect them from harmful influence.

The Food Marketing Defense Model: Integrating Psychological Research to Protect Youth and Inform Public Policy

PubMed Central

Harris, Jennifer L.; Brownell, Kelly D.; Bargh, John A.

2009-01-01

Marketing practices that promote calorie-dense, nutrient-poor foods directly to children and adolescents present significant public health risk. Worldwide, calls for government action and industry change to protect young people from the negative effects of food marketing have increased. Current proposals focus on restricting television advertising to children under 12 years old, but current psychological models suggest that much more is required. All forms of marketing pose considerable risk; adolescents are also highly vulnerable; and food marketing may produce far-reaching negative health outcomes. We propose a food marketing defense model that posits four necessary conditions to effectively counter harmful food marketing practices: awareness, understanding, ability and motivation to resist. A new generation of psychological research is needed to examine each of these processes, including the psychological mechanisms through which food marketing affects young people, to identify public policy that will effectively protect them from harmful influence. PMID:20182647

The West Virginia Occupational Safety and Health Initiative: practicum training for a new marketplace.

PubMed

Meyer, J D; Becker, P E; Stockdale, T; Ducatman, A M

1999-05-01

Occupational medicine practice has experienced a shift from larger corporate medical departments to organizations providing services for a variety of industries. Specific training needs will accompany this shift in practice patterns; these may differ from those developed in the traditional industrial or corporate medical department setting. The West Virginia Occupational Health and Safety Initiative involves occupational medicine residents in consultation to a variety of small industries and businesses. It uses the expertise of occupational physicians, health and safety extension faculty, and faculty in engineering and industrial hygiene. Residents participate in multidisciplinary evaluations of worksites, and develop competencies in team-building, workplace health and safety evaluation, and occupational medical consulting. Specific competencies that address requirements for practicum training are used to measure the trainee's acquisition of knowledge and skills. Particular attention is paid to the acquisition of group problem-solving expertise, skills relevant to the current market in practice opportunities, and the specific career interests of the resident physician. Preliminary evaluation indicates the usefulness of training in evaluation of diverse industries and worksites. We offer this program as a training model that can prepare residents for the challenges of a changing marketplace for occupational health and safety services.

CAD-supported university course on photonics and fiber optic communications

NASA Astrophysics Data System (ADS)

Chan, David K. C.; Richter, Andre

2002-05-01

The highly competitive global photonics industry has created a significant demand for professional Photonic Design Automation (PDA) tools and personnel trained to use them effectively. In such a dynamic field, CAD-supported courses built around widely used industrial PDA tools provide many advantages, especially when offered through tertiary education institutions (which are ideally suited to producing the future workforce of the Photonics industry). An objective of VPIsystems' University program is to develop tertiary level courses based on VPIsystems' WDM transmission and component modeling software tools. Advantages offered by such courses include: visualizing and aiding the understanding of complex physical problems encountered in the design of fiber-optic communication systems; virtual laboratory exercises that can accurately reproduce the behavior of real systems and components without the prohibitive infrastructure and maintenance costs of real laboratories; flexibility in studying interrelated physical effects individually or in combination to facilitate learning; provide expertise and practical insights in areas, including industry-focused topics, that are not generally covered in traditional tertiary courses; provide exposure to, currently, the most widely used PDA tools in the industry. In this paper, details of VPIsystems' University program and its CAD-supported Photonics courses will be presented.

High reliability level on single-mode 980nm-1060 nm diode lasers for telecommunication and industrial applications

NASA Astrophysics Data System (ADS)

Van de Casteele, J.; Bettiati, M.; Laruelle, F.; Cargemel, V.; Pagnod-Rossiaux, P.; Garabedian, P.; Raymond, L.; Laffitte, D.; Fromy, S.; Chambonnet, D.; Hirtz, J. P.

2008-02-01

We demonstrate very high reliability level on 980-1060nm high-power single-mode lasers through multi-cell tests. First, we show how our chip design and technology enables high reliability levels. Then, we aged 758 devices during 9500 hours among 6 cells with high current (0.8A-1.2A) and high submount temperature (65°C-105°C) for the reliability demonstration. Sudden catastrophic failure is the main degradation mechanism observed. A statistical failure rate model gives an Arrhenius thermal activation energy of 0.51eV and a power law forward current acceleration factor of 5.9. For high-power submarine applications (360mW pump module output optical power), this model exhibits a failure rate as low as 9 FIT at 13°C, while ultra-high power terrestrial modules (600mW) lie below 220 FIT at 25°C. Wear-out phenomena is observed only for very high current level without any reliability impact under 1.1A. For the 1060nm chip, step-stress tests were performed and a set of devices were aged during more than 2000 hours in different stress conditions. First results are in accordance with 980nm product with more than 100khours estimated MTTF. These reliability and performance features of 980-1060nm laser diodes will make high-power single-mode emitters the best choice for a number of telecommunication and industrial applications in the next few years.

Annual Report: Carbon Capture Simulation Initiative (CCSI) (30 September 2012)

DOE Office of Scientific and Technical Information (OSTI.GOV)

Miller, David C.; Syamlal, Madhava; Cottrell, Roger

2012-09-30

The Carbon Capture Simulation Initiative (CCSI) is a partnership among national laboratories, industry and academic institutions that is developing and deploying state-of-the-art computational modeling and simulation tools to accelerate the commercialization of carbon capture technologies from discovery to development, demonstration, and ultimately the widespread deployment to hundreds of power plants. The CCSI Toolset will provide end users in industry with a comprehensive, integrated suite of scientifically validated models, with uncertainty quantification (UQ), optimization, risk analysis and decision making capabilities. The CCSI Toolset incorporates commercial and open-source software currently in use by industry and is also developing new software tools asmore » necessary to fill technology gaps identified during execution of the project. Ultimately, the CCSI Toolset will (1) enable promising concepts to be more quickly identified through rapid computational screening of devices and processes; (2) reduce the time to design and troubleshoot new devices and processes; (3) quantify the technical risk in taking technology from laboratory-scale to commercial-scale; and (4) stabilize deployment costs more quickly by replacing some of the physical operational tests with virtual power plant simulations. CCSI is organized into 8 technical elements that fall under two focus areas. The first focus area (Physicochemical Models and Data) addresses the steps necessary to model and simulate the various technologies and processes needed to bring a new Carbon Capture and Storage (CCS) technology into production. The second focus area (Analysis & Software) is developing the software infrastructure to integrate the various components and implement the tools that are needed to make quantifiable decisions regarding the viability of new CCS technologies. CCSI also has an Industry Advisory Board (IAB). By working closely with industry from the inception of the project to identify industrial challenge problems, CCSI ensures that the simulation tools are developed for the carbon capture technologies of most relevance to industry. CCSI is led by the National Energy Technology Laboratory (NETL) and leverages the Department of Energy (DOE) national laboratories' core strengths in modeling and simulation, bringing together the best capabilities at NETL, Los Alamos National Laboratory (LANL), Lawrence Berkeley National Laboratory (LBNL), Lawrence Livermore National Laboratory (LLNL), and Pacific Northwest National Laboratory (PNNL). The CCSI's industrial partners provide representation from the power generation industry, equipment manufacturers, technology providers and engineering and construction firms. The CCSI's academic participants (Carnegie Mellon University, Princeton University, West Virginia University, and Boston University) bring unparalleled expertise in multiphase flow reactors, combustion, process synthesis and optimization, planning and scheduling, and process control techniques for energy processes. During Fiscal Year (FY) 12, CCSI released its first set of computational tools and models. This pre-release, a year ahead of the originally planned first release, is the result of intense industry interest in getting early access to the tools and the phenomenal progress of the CCSI technical team. These initial components of the CCSI Toolset provide new models and computational capabilities that will accelerate the commercial development of carbon capture technologies as well as related technologies, such as those found in the power, refining, chemicals, and gas production industries. The release consists of new tools for process synthesis and optimization to help identify promising concepts more quickly, new physics-based models of potential capture equipment and processes that will reduce the time to design and troubleshoot new systems, a framework to quantify the uncertainty of model predictions, and various enabling tools that provide new capabilities such as creating reduced order models (ROMs) from reacting multiphase flow simulations and running thousands of process simulations concurrently for optimization and UQ.« less

Computational Analysis of Advanced Shape-Memory Alloy Devices Through a Robust Modeling Framework

NASA Astrophysics Data System (ADS)

Scalet, Giulia; Conti, Michele; Auricchio, Ferdinando

2017-06-01

Shape-memory alloys (SMA) provide significant advantages in various industrial fields, but their manufacturing and commercialization are currently hindered. This is attributed mainly to the poor knowledge of material behavior and the lack of standards in its mechanical characterization. SMA products are usually developed by trial-and-error testing to address specific design requirements, thus increasing costs and time. The development of simulation tools offers a possible solution to assist engineers and designers and allows to better understand SMA transformation phenomena. Accordingly, the purpose of the present paper is to numerically analyze and predict the response of spring-like actuators and septal occluders, which are industrial components exploiting the shape-memory and pseudoelastic properties of SMAs, respectively. The methodology includes two main stages: the implementation of the three-dimensional phenomenological model known as Souza- Auricchio model and the finite element modeling of the device. A discussion about the steps of each stage, as parameter identification and model generalizations, is provided. Validation results are presented through a comparison with the results of a performed experimental campaign. The framework proves good prediction capabilities and allows to reduce the number of experimental tests in the future.

Toward a New Industrial America.

ERIC Educational Resources Information Center

Berger, Suzanne; And Others

1989-01-01

Summarizes the positive and negative sides of American industrial practices determined by the Commission on Industrial Productivity at the Massachusetts Institute of Technology. Describes five imperatives recommended by the commission based on its study of current weakness and best practices in American industry. (YP)

Using eddy currents for noninvasive in vivo pH monitoring for bone tissue engineering.

PubMed

Beck-Broichsitter, Benedicta E; Daschner, Frank; Christofzik, David W; Knöchel, Reinhard; Wiltfang, Jörg; Becker, Stephan T

2015-03-01

The metabolic processes that regulate bone healing and bone induction in tissue engineering models are not fully understood. Eddy current excitation is widely used in technical approaches and in the food industry. The aim of this study was to establish eddy current excitation for monitoring metabolic processes during heterotopic osteoinduction in vivo. Hydroxyapatite scaffolds were implanted into the musculus latissimus dorsi of six rats. Bone morphogenetic protein 2 (BMP-2) was applied 1 and 2 weeks after implantation. Weekly eddy current excitation measurements were performed. Additionally, invasive pH measurements were obtained from the scaffolds using fiber optic detection devices. Correlations between the eddy current measurements and the metabolic values were calculated. The eddy current measurements and pH values decreased significantly in the first 2 weeks of the study, followed by a steady increase and stabilization at higher levels towards the end of the study. The measurement curves and statistical evaluations indicated a significant correlation between the resonance frequency values of the eddy current excitation measurements and the observed pH levels (p = 0.0041). This innovative technique was capable of noninvasively monitoring metabolic processes in living tissues according to pH values, showing a direct correlation between eddy current excitation and pH in an in vivo tissue engineering model.

Printing Technologies for Medical Applications.

PubMed

Shafiee, Ashkan; Atala, Anthony

2016-03-01

Over the past 15 years, printers have been increasingly utilized for biomedical applications in various areas of medicine and tissue engineering. This review discusses the current and future applications of 3D bioprinting. Several 3D printing tools with broad applications from surgical planning to 3D models are being created, such as liver replicas and intermediate splints. Numerous researchers are exploring this technique to pattern cells or fabricate several different tissues and organs, such as blood vessels or cardiac patches. Current investigations in bioprinting applications are yielding further advances. As one of the fastest areas of industry expansion, 3D additive manufacturing will change techniques across biomedical applications, from research and testing models to surgical planning, device manufacturing, and tissue or organ replacement. Copyright © 2016. Published by Elsevier Ltd.

How the Reinsurance Industry views the current and future risk landscape

NASA Astrophysics Data System (ADS)

Castaldi, A.

2012-12-01

The last decade has witnessed some of the most devastating and expensive natural disasters within the last century. Regardless of where the event occurred and what the hazard might have been, the global insurance and reinsurance industry were active participants in evaluating the events' characteristics as well as providing the financial means for rebuilding the communities affected by these events. The concept of risk transfer from one to many (spreading the risk) is at the very core of the insurers and reinsurers' business. Reinsurers' focus most of their attention on the extreme events including those caused by natural disasters. As such the reinsurance industry must be expert in understanding and quantifying the potential economic and social impact of extreme natural hazard events throughout the world whether they be in the present or possible future. To understand the global risk the reinsurance industry has invested a substantial amount of time and resources into analyzing natural hazard events on a global scale. This requires a firm understanding of the hazard (frequency and severity) and what exposure lies in harm's way (vulnerability). Through the development and use of natural hazard models, claims loss reviews, and research and development the reinsurance industry has an excellent view of the global risks. In this session we will describe how the reinsurance industry models the natural hazard risk and how we view natural hazards in the modern world and our concerns for the future. We will discuss some of the reasons why these events have become increasingly more expensive as well as discussing how we can help reduce our economic susceptibility to these extreme and unpleasant events.

Emissions of Tetrafluoromethane (CF4) and Hexafluoroethane (C2F6) from East Asian Aluminum and Semiconductor Industries

NASA Astrophysics Data System (ADS)

Kim, J.; Li, S.; Muhle, J.; Fang, X.; Manning, A. J.; Arnold, T.; Park, S.; Park, M.; Saito, T.; Yokouchi, Y.; Stohl, A.; Weiss, R. F.; Kim, K.

2013-12-01

Tetrafluoromethane (CF4) and Hexafluoroethane (C2F6) are among the most potent greenhouse gases (GHGs), with atmospheric lifetimes of 50,000 and 10,000 years and 100-year Global Warming Potentials of 7,490 and 12,200, respectively. The Chinese aluminum smelting (AL) industry, accounting for 39% of the global aluminum production in 2010, has become a significant emitter of these compounds to the atmosphere, . The AL industry has estimated its Chinese emissions averaged over 2008-2010 at 1.4 Gg/yr of CF4 and 0.06 Gg/yr of C2F6. In this study we combine East Asian measurements of C2F6 at Gosan (Jeju Island, Korea), Hateruma, and Ochi-Ishi (Japan) and of CF4 at Gosan, using inversion techniques and two Lagrangian particle dispersion models (FLEXPART and NAME), to estimate the emissions of these two compounds from China and East Asia. Our results yield total emissions from China for the 2008-2010 period of approximately 4 × 0.5 Gg/yr for CF4 and 0.8 × 0.1 Gg/yr for C2F6. These results may be reconciled if emissions of these compounds from China's semiconductor (SC) industry are larger than currently estimated. However, evidence presented in the analysis of the inversion results and in the C2F6/CF4 emission ratios observed for China suggest that China's AL industry emissions are likely to be the dominant source of the discrepancy between reported emissions and those inferred from atmospheric measurements. As the AL and SC industries evolve toward new manufacturing technologies that reduce GHG emissions, continued and improved atmospheric measurements and modeling in this region will be useful in assessing the effectiveness of these changes.

Modelling of Dispersed Gas-Liquid Flow using LBGK and LPT Approach

NASA Astrophysics Data System (ADS)

Agarwal, Alankar; Prakash, Akshay; Ravindra, B.

2017-11-01

The dynamics of gas bubbles play a significant, if not crucial, role in a large variety of industrial process that involves using reactors. Many of these processes are still not well understood in terms of optimal scale-up strategies.An accurate modeling of bubbles and bubble swarms become important for high fidelity bioreactor simulations. This study is a part of the development of robust bubble fluid interaction modules for simulation of industrial-scale reactors. The work presents the simulation of a single bubble rising in a quiescent water tank using current models presented in the literature for bubble-fluid interaction. In this multiphase benchmark problem, the continuous phase (water) is discretized using the Lattice Bhatnagar-Gross and Krook (LBGK) model of Lattice Boltzmann Method (LBM), while the dispersed gas phase (i.e. air-bubble) modeled with the Lagrangian particle tracking (LPT) approach. The cheap clipped fourth order polynomial function is used to model the interaction between two phases. The model is validated by comparing the simulation results for terminal velocity of a bubble at varying bubble diameter and the influence of bubble motion in liquid velocity with the theoretical and previously available experimental data. This work is supported by the ``Centre for Development of Advanced Computing (C-DAC), Pune'' by providing the advanced computational facility in PARAM Yuva-II.

Digital optical tape: Technology and standardization issues

NASA Technical Reports Server (NTRS)

Podio, Fernando L.

1996-01-01

During the coming years, digital data storage technologies will continue an aggressive growth to satisfy the user's need for higher storage capacities, higher data transfer rates and long-term archival media properties. Digital optical tape is a promising technology to satisfy these user's needs. As any emerging data storage technology, the industry faces many technological and standardization challenges. The technological challenges are great, but feasible to overcome. Although it is too early to consider formal industry standards, the optical tape industry has decided to work together by initiating prestandardization efforts that may lead in the future to formal voluntary industry standards. This paper will discuss current industry optical tape drive developments and the types of standards that will be required for the technology. The status of current industry prestandardization efforts will also be discussed.

Use of physiologically relevant biopharmaceutics tools within the pharmaceutical industry and in regulatory sciences: Where are we now and what are the gaps?

PubMed

Flanagan, Talia; Van Peer, Achiel; Lindahl, Anders

2016-08-25

Regulatory interactions are an important part of the drug development and licensing process. A survey on the use of biopharmaceutical tools for regulatory purposes has been carried out within the industry community of the EU project OrBiTo within Innovative Medicines Initiative (IMI). The aim was to capture current practice and experience in using in vitro and in silico biopharmaceutics tools at various stages of development, what barriers exist or are perceived, and to understand the current gaps in regulatory biopharmaceutics. The survey indicated that biorelevant dissolution testing and physiologically based modelling and simulation are widely applied throughout development to address a number of biopharmaceutics issues. However, data from these in vitro and in silico predictive biopharmaceutics tools are submitted to regulatory authorities far less often than they are used for internal risk assessment and decision making. This may prevent regulators from becoming familiar with these tools and how they are applied in industry, and limits the opportunities for biopharmaceutics scientists working in industry to understand the acceptability of these tools in the regulatory environment. It is anticipated that the advanced biopharmaceutics tools and understanding delivered in the next years by OrBiTo and other initiatives in the area of predictive tools will also be of value in the regulatory setting, and provide a basis for more informed and confident biopharmaceutics risk assessment and regulatory decision making. To enable the regulatory potential of predictive biopharmaceutics tools to be realized, further scientific dialogue is needed between industry, regulators and scientists in academia, and more examples need to be published to demonstrate the applicability of these tools. Copyright © 2016 Elsevier B.V. All rights reserved.

Exploring the spatial wage penalty for women: Does it matter where you live?

PubMed

Smith, Kristin E; Glauber, Rebecca

2013-09-01

Inequality between men and women has decreased over the past four decades in the US, but wage inequality among groups of women has increased. As metropolitan women's earnings grew by 25% over the past four decades, nonmetropolitan women's earnings only grew by 15%. In the current study we draw on data from the Current Population Survey to analyze the spatial wage gap among women. We explore differences in the spatial wage gap by education, occupation, and industry. Regression models that control for marriage, motherhood, race, education, region, age, and work hours indicate that metropolitan women earn 17% more per hour than nonmetropolitan women. Nonmetropolitan women earn less than metropolitan women who live in central cities and outside central cities. The gap in metropolitan-nonmetropolitan wages is higher for more educated women than for less educated women. The wage gap is only 5% for women without a high school degree, but it is 15% for women with a college degree and 26% for women with an advanced degree. Nonmetropolitan college graduates are overrepresented in lower-paying occupations and industries. Metropolitan college graduates, however, are overrepresented in higher-paying occupations and industries, such as professional services and finance. Copyright © 2013 Elsevier Inc. All rights reserved.

Risk-Informed Margin Management (RIMM) Industry Applications IA1 - Integrated Cladding ECCS/LOCA Performance Analysis - Problem Statement

DOE Office of Scientific and Technical Information (OSTI.GOV)

Szilard, Ronaldo Henriques; Youngblood, Robert; Frepoli, Cesare

2015-04-01

The U. S. NRC is currently proposing rulemaking designated as “10 CFR 50.46c” to revise the LOCA/ECCS acceptance criteria to include the effects of higher burnup on cladding performance as well as to address some other issues. The NRC is also currently resolving the public comments with the final rule expected to be issued in the summer of 2016. The impact of the final 50.46c rule on the industry will involve updating of fuel vendor LOCA evaluation models, NRC review and approval, and licensee submittal of new LOCA evaluations or reanalyses and associated technical specification revisions for NRC review andmore » approval. The rule implementation process, both industry and NRC activities, is expected to take 5-10 years following the rule effective date. The need to use advanced cladding designs is expected. A loss of operational margin will result due to the more restrictive cladding embrittlement criteria. Initial and future compliance with the rule may significantly increase vendor workload and licensee cost as a spectrum of fuel rod initial burnup states may need to be analyzed to demonstrate compliance. Consequently there will be an increased focus on licensee decision making related to LOCA analysis to minimize cost and impact, and to manage margin.« less

Modelling Urban Noise in Citygml Ade: Case of the Netherlands

NASA Astrophysics Data System (ADS)

Kumar, K.; Ledoux, H.; Commandeur, T. J. F.; Stoter, J. E.

2017-10-01

Road traffic and industrial noise has become a major source of discomfort and annoyance among the residents in urban areas. More than 44 % of the EU population is regularly exposed to road traffic noise levels over 55 dB, which is currently the maximum accepted value prescribed by the Environmental Noise Directive for road traffic noise. With continuously increasing population and number of motor vehicles and industries, it is very unlikely to hope for noise levels to diminish in the near future. Therefore, it is necessary to monitor urban noise, so as to make mitigation plans and to deal with its adverse effects. The 2002/49/EC Environmental Noise Directive aims to determine the exposure of an individual to environmental noise through noise mapping. One of the most important steps in noise mapping is the creation of input data for simulation. At present, it is done semi-automatically (and sometimes even manually) by different companies in different ways and is very time consuming and can lead to errors in the data. In this paper, we present our approach for automatically creating input data for noise simulations. Secondly, we focus on using 3D city models for presenting the results of simulation for the noise arising from road traffic and industrial activities in urban areas. We implemented a few noise modelling standards for industrial and road traffic noise in CityGML by extending the existing Noise ADE with new objects and attributes. This research is a steping stone in the direction of standardising the input and output data for noise studies and for reconstructing the 3D data accordingly.

Walking between academia and industry to find successful solutions to biomedical challenges: an interview with Geoffrey Smith

PubMed Central

2015-01-01

Geoffrey W. Smith is currently the Managing Director of Mars Ventures. He actually started his studies with a Bachelor of Arts degree and a Doctorate in Law but then, in part by chance and in part by following in his family footsteps, he stepped into the healthcare and biotech field. Since then, he has successfully contributed to the birth of a number of healthcare companies and has also held academic positions at the Icahn School of Medicine at Mount Sinai and at The Rockefeller University in New York, teaching about the interface between science and business. During 2014 he served as Senior Editor on Disease Models & Mechanisms, bringing to the editorial team his valuable experience in drug development and discovery. In this interview, Geoff talks to Ross Cagan, Editor-in-Chief of Disease Models & Mechanisms, about how he developed his incredibly varied career, sharing his views about industry, academia and science publishing, and discussing how academia and industry can fruitfully meet to advance bioscience, train the scientists and stakeholders of the future, and drive the successful discovery of new therapeutics to treat human disease. PMID:26438691

Walking between academia and industry to find successful solutions to biomedical challenges: an interview with Geoffrey Smith.

PubMed

Smith, Geoffrey; Cagan, Ross

2015-10-01

Geoffrey W. Smith is currently the Managing Director of Mars Ventures. He actually started his studies with a Bachelor of Arts degree and a Doctorate in Law but then, in part by chance and in part by following in his family footsteps, he stepped into the healthcare and biotech field. Since then, he has successfully contributed to the birth of a number of healthcare companies and has also held academic positions at the Icahn School of Medicine at Mount Sinai and at The Rockefeller University in New York, teaching about the interface between science and business. During 2014 he served as Senior Editor on Disease Models & Mechanisms, bringing to the editorial team his valuable experience in drug development and discovery. In this interview, Geoff talks to Ross Cagan, Editor-in-Chief of Disease Models & Mechanisms, about how he developed his incredibly varied career, sharing his views about industry, academia and science publishing, and discussing how academia and industry can fruitfully meet to advance bioscience, train the scientists and stakeholders of the future, and drive the successful discovery of new therapeutics to treat human disease. © 2015. Published by The Company of Biologists Ltd.

Bite the apple, get driven out of the garden: A risky story telling at the ASME town meeting

DOE Office of Scientific and Technical Information (OSTI.GOV)

Majumdar, K.C.

1994-11-01

Risk, the all-encompassing four-letter word became a widely used household cliche and an institutional mantra in the nineties. Risk analysis models from the Garden of Eden to the Capitol Hill lawn have made a number of sharp paradigm shifts to evolve itself as a decision-making tool from individual risk perception to societal risk-based regulatory media. Risk always coexists with benefit and is arbitrated by costs. Risk-benefit analysis has been in use in business and industry in economic ventures for a long time. Only recently risk management in its current state of development, evolved as a regulatory tool for controlling largemore » technological systems that have potential impacts on the health and safety of the public and on the sustainability of the ecology and the environment. This paper summarizes the evolution of the risk management concepts and models in industry and the regulatory agencies in the US over the last three decades. It also discusses the benefits and limitations of this evolving discipline as it is applied to high-risk technologies from the nuclear power plant and petrochemical industry, etc. to nuclear weapons technology.« less

Optimizing Industrial Consumer Demand Response Through Disaggregation, Hour-Ahead Pricing, and Momentary Autonomous Control

NASA Astrophysics Data System (ADS)

Abdulaal, Ahmed

The work in this study addresses the current limitations of the price-driven demand response (DR) approach. Mainly, the dependability on consumers to respond in an energy aware conduct, the response timeliness, the difficulty of applying DR in a busy industrial environment, and the problem of load synchronization are of utmost concern. In order to conduct a simulation study, realistic price simulation model and consumers' building load models are created using real data. DR action is optimized using an autonomous control method, which eliminates the dependency on frequent consumer engagement. Since load scheduling and long-term planning approaches are infeasible in the industrial environment, the proposed method utilizes instantaneous DR in response to hour-ahead price signals (RTP-HA). Preliminary simulation results concluded savings at the consumer-side at the cost of increased supplier-side burden due to the aggregate effect of the universal DR policies. Therefore, a consumer disaggregation strategy is briefly discussed. Finally, a refined discrete-continuous control system is presented, which utilizes multi-objective Pareto optimization, evolutionary programming, utility functions, and bidirectional loads. Demonstrated through a virtual testbed fit with real data, the new system achieves momentary optimized DR in real-time while maximizing the consumer's wellbeing.

Reynolds Stress Distributions and the Measurement and Calculation of Eddy Viscosity in Gravity Currents

NASA Astrophysics Data System (ADS)

Kelly, R. W.; Chalk, C.; Dorrell, R. M.; Peakall, J.; Burns, A. D.; Keevil, G. M.; Thomas, R. E.; Williams, G.

2016-12-01

In the natural environment, gravity currents transport large volumes of sediment great distances and are often considered one of the most important mechanisms for sediment transport in ocean basins. Deposits from many individual submarine gravity currents, turbidites, ultimately form submarine fan systems. These are the largest sedimentary systems on the planet and contain valuable hydrocarbon reserves. Moreover, the impact of these currents on submarine technologies and seafloor infrastructure can be devastating and therefore they are of significant interest to a wide range of industries. Here we present experimental, numerical and theoretical models of time-averaged turbulent shear stresses, i.e. Reynolds stresses. Reynolds stresses can be conceptually parameterised by an eddy viscosity parameter that relates chaotic fluid motion to diffusive type processes. As such, it is a useful parameter for indicating the extent of internal mixing and is used extensively in both numerical and analytical modelling of both open-channel and gravity driven flows. However, a lack of knowledge of the turbulent structure of gravity currents limits many hydro- and morphodynamic models. High resolution 3-dimensional experimental velocity data, gathered using acoustic Doppler profiling velocimetry, enabled direct calculation of stresses and eddy viscosity. Comparison of experimental data to CFD and analytical models allowed the testing of eddy viscosity-based turbulent mixing models. The calculated eddy viscosity profile is parabolic in nature in both the upper and lower shear layers. However, an apparent breakdown in the Boussinesq hypothesis (used to calculate the eddy viscosity and upon which many numerical models are based) is observed in the region of the current around the velocity maximum. With the use of accompanying density data it is suggested that the effect of stratification on eddy viscosity is significant and alternative formulations may be required.

A Novel Application of Agent-based Modeling: Projecting Water Access and Availability Using a Coupled Hydrologic Agent-based Model in the Nzoia Basin, Kenya

NASA Astrophysics Data System (ADS)

Le, A.; Pricope, N. G.

2015-12-01

Projections indicate that increasing population density, food production, and urbanization in conjunction with changing climate conditions will place stress on water resource availability. As a result, a holistic understanding of current and future water resource distribution is necessary for creating strategies to identify the most sustainable means of accessing this resource. Currently, most water resource management strategies rely on the application of global climate predictions to physically based hydrologic models to understand potential changes in water availability. However, the need to focus on understanding community-level social behaviors that determine individual water usage is becoming increasingly evident, as predictions derived only from hydrologic models cannot accurately represent the coevolution of basin hydrology and human water and land usage. Models that are better equipped to represent the complexity and heterogeneity of human systems and satellite-derived products in place of or in conjunction with historic data significantly improve preexisting hydrologic model accuracy and application outcomes. We used a novel agent-based sociotechnical model that combines the Soil and Water Assessment Tool (SWAT) and Agent Analyst and applied it in the Nzoia Basin, an area in western Kenya that is becoming rapidly urbanized and industrialized. Informed by a combination of satellite-derived products and over 150 household surveys, the combined sociotechnical model provided unique insight into how populations self-organize and make decisions based on water availability. In addition, the model depicted how population organization and current management alter water availability currently and in the future.

New Technology Industries. Skills Task Force Research Paper 10.

ERIC Educational Resources Information Center

Hendry, Chris

This paper provides an overview of the growth of new technology industries in Great Britain and the skills needed for these industries. The industries are advanced materials, biotechnology, and opto-electronics. The report profiles the current status, expected growth, and skills needed for each of these industry sectors. It also points out the…

Teachers Environmental Resource Unit: Industry: Iron/Steel & Pulp/Paper.

ERIC Educational Resources Information Center

Bemiss, Clair W.

Iron and steel and pulp and paper industries, two representatives of American industry, are selected in this teacher's guide for the study of industrial pollution and current pollution control efforts. The resource unit is intended to provide the teacher with basic information that will aid classroom review of these problems. Both industries are…

Space and biotechnology: An industry profile

NASA Technical Reports Server (NTRS)

Johnston, Richard S.; Norton, David J.; Tom, Baldwin H.

1988-01-01

The results of a study conducted by the Center for Space and Advanced Technology (CSAT) for NASA-JSC are presented. The objectives were to determine the interests and attitudes of the U.S. biotechnology industry toward space biotechnology and to prepare a concise review of the current activities of the biotechnology industry. In order to accomplish these objectives, two primary actions were taken. First, a questionnaire was designed, reviewed, and distributed to U.S. biotechnology companies. Second, reviews of the various biotechnology fields were prepared in several aspects of the industry. For each review, leading figures in the field were asked to prepare a brief review pointing out key trends and current industry technical problems. The result is a readable narrative of the biotechnology industry which will provide space scientists and engineers valuable clues as to where the space environment can be explored to advance the U.S. biotechnology industry.

A review on the current issues and barriers of Industrialised Building System (IBS) adoption in Malaysia’s construction industry

NASA Astrophysics Data System (ADS)

Amin, M. A. Mohd; Abas, N. H.; Shahidan, S.; Rahmat, M. H.; Suhaini, N. A.; Nagapan, S.; Rahim, R. Abdul

2017-11-01

Malaysia considers the construction industry as one of the main contributors to its Gross Domestic Product (GDP). However, there are some unresolved issues arising from the ongoing and widespread adoption of the conventional method of construction such as the resultant fragmentation of the industry itself; delays in production and delivery time of unnecessary wastages and lack of sustainability practice. Malaysian Government has been continuously encouraging the industry to use, partly or if not wholly, the Industrialized Building System (IBS), which is considered to be an important part of sustainable construction initiative. IBS was introduced to Malaysia as the solution to issues related to dependencies of foreign workers, raising demand for affordable accommodations and improving image, quality and productivity of construction industry. However, the IBS adoption in Malaysia remains low. This paper presents the review of the current issues and barriers of IBS adoption in Malaysian construction industry.

A study on validating KinectV2 in comparison of Vicon system as a motion capture system for using in Health Engineering in industry

NASA Astrophysics Data System (ADS)

Jebeli, Mahvash; Bilesan, Alireza; Arshi, Ahmadreza

2017-06-01

The currently available commercial motion capture systems are constrained by space requirement and thus pose difficulties when used in developing kinematic description of human movements within the existing manufacturing and production cells. The Kinect sensor does not share similar limitations but it is not as accurate. The proposition made in this article is to adopt the Kinect sensor in to facilitate implementation of Health Engineering concepts to industrial environments. This article is an evaluation of the Kinect sensor accuracy when providing three dimensional kinematic data. The sensor is thus utilized to assist in modeling and simulation of worker performance within an industrial cell. For this purpose, Kinect 3D data was compared to that of Vicon motion capture system in a gait analysis laboratory. Results indicated that the Kinect sensor exhibited a coefficient of determination of 0.9996 on the depth axis and 0.9849 along the horizontal axis and 0.2767 on vertical axis. The results prove the competency of the Kinect sensor to be used in the industrial environments.

Enabling Software Acquisition Improvement: Government and Industry Software Development Team Acquisition Model

DTIC Science & Technology

2010-04-30

estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources , gathering and maintaining...previous and current complex SW development efforts, the program offices will have a source of objective lessons learned and metrics that can be applied...the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this

[Simulation and Design of Infant Incubator Assembly Line].

PubMed

Ke, Huqi; Hu, Xiaoyong; Ge, Xia; Hu, Yanhai; Chen, Zaihong

2015-11-01

According to current assembly situation of infant incubator in company A, basic industrial engineering means such as time study was used to analyze the actual products assembly production and an assembly line was designed. The assembly line was modeled and simulated with software Flexsim. The problem of the assembly line was found by comparing simulation result and actual data, then through optimization to obtain high efficiency assembly line.

Global Aerospace Industries: Rapid Changes Ahead? (Abridged)

DTIC Science & Technology

2012-04-30

Understanding the Situation: Contestable Markets • Central idea: the extent to which markets are “contestable” causes monopolists and oligopolists to behave...find useful explanatory models for Boeing?s success, discussed in Chapter II. In Chapter III, we consider the narrow-body airliner market , currently...families have provided resources for a number of wide-body developments some of which have become part of the defense marketplace. The narrow-body market

Prospectors and Developers Association of Canada Mining Matters: A Model of Effective Outreach

NASA Astrophysics Data System (ADS)

Hymers, L.; Heenan, S.

2009-05-01

Prospectors and Developers Association of Canada Mining Matters is a charitable organization whose mandate is to bring the wonders of Canada's geology and mineral resources to students, educators and industry. The organization provides current information about rocks, minerals, metals, and mining and offers exceptional educational resources, developed by teachers and for teachers that meet Junior, Intermediate and Senior Provincial Earth Science and Geography curriculum expectations. Since 1994, Mining Matters has reached more than 400,000 educators, students, industry representatives, and Aboriginal Youth through Earth Science resources. At the time of the program's inception, members of the Prospectors and Developers Association of Canada (PDAC) realized that their mining and mineral industry expertise could be of help to teachers and students. Consulting experts in education, government, and business, and the PDAC worked together to develop the first Mining Matters Earth Science curriculum kit for Grades 6 and 7 teachers in Ontario. PDAC Mining Matters became the official educational arm of the Association and a charitable organization in 1997. Since then, the organization has partnered with government, industry, and educators to develop bilingual Earth science teaching units for Grades 4 and 7, and senior High School. The teaching units consist of kits that contain curriculum correlated lesson plans, inform bulletins, genuine data sets, rock and mineral samples, equipment and additional instructional resources. Mining Matters offers instructional development workshops for the purposes of training pre-service and in- service educators to use our teaching units in the classroom. The workshops are meant to provide teachers with the knowledge and confidence they need to successfully employ the units in the classroom. Formal mechanisms for resource and workshop evaluations are in place. Overwhelmingly teacher feedback is positive, describing the excellence, effectiveness and suitability of Mining Matters resources and training workshops for classroom instruction. Mining Matters also operates an Aboriginal Youth Outreach Program that promotes the importance of the minerals industry to Aboriginal youth through the distribution of educational resources, the provision of educational opportunities, and exposure to mineral and mining industry career opportunities and professionals. The Aboriginal Youth Outreach Program is designed to engage youth in Earth Sciences, providing them with the opportunity to develop skills, competencies and knowledge through Earth science, career, and skills development education. The Mining Matters program is effective and has garnered a National reputation for excellence. The Mining Matters program is a model of effective partnerships between industry, academia, and education outreach organizations. Our resources are currently used in Ontario, Manitoba, Saskatchewan, and British Columbia, with new partnerships being developed in Quebec and Nova Scotia.

General and mechanistic optimal relationships for tensile strength of doubly convex tablets under diametrical compression.

PubMed

Razavi, Sonia M; Gonzalez, Marcial; Cuitiño, Alberto M

2015-04-30

We propose a general framework for determining optimal relationships for tensile strength of doubly convex tablets under diametrical compression. This approach is based on the observation that tensile strength is directly proportional to the breaking force and inversely proportional to a non-linear function of geometric parameters and materials properties. This generalization reduces to the analytical expression commonly used for flat faced tablets, i.e., Hertz solution, and to the empirical relationship currently used in the pharmaceutical industry for convex-faced tablets, i.e., Pitt's equation. Under proper parametrization, optimal tensile strength relationship can be determined from experimental results by minimizing a figure of merit of choice. This optimization is performed under the first-order approximation that a flat faced tablet and a doubly curved tablet have the same tensile strength if they have the same relative density and are made of the same powder, under equivalent manufacturing conditions. Furthermore, we provide a set of recommendations and best practices for assessing the performance of optimal tensile strength relationships in general. Based on these guidelines, we identify two new models, namely the general and mechanistic models, which are effective and predictive alternatives to the tensile strength relationship currently used in the pharmaceutical industry. Copyright © 2015 Elsevier B.V. All rights reserved.

Electronic Commerce in Tourism in China: B2B or B2C?

NASA Astrophysics Data System (ADS)

Li, Hongxiu; Suomi, Reima

E-commerce has significantly changed the distribution channels of travel products in the world including China. Online channels are growing important in travel service distribution. In China tourism industry has been developed rapidly with the economic development, more and more international travel service providers are trying to expand their Chinese market through the Internet. This paper sheds lights on the e-commerce development models in China for international travel service providers. It explores the current e-tourism in China from the three different participants in the value chain in tourism industry - consumer, travel agent and travel service provider. The paper also identifies the barriers in B2C arena in international outbound travel market, and discusses the possible approaches for international travel service providers to develop their e-commerce in the huge Chinese market. The results in this study reveal that international travel service providers should focus on B2B model to expand their electronic market in China. B2C development in tourism largely depends on the change of Chinese customers' behavior and the change of international tourism regulations. The findings of the study are expected to assist international travel service providers to understand current e-tourism in China and to support their planning for future e-commerce development in China.

Analysis of the holistic impact of the Hydrogen Economy on the coal industry

NASA Astrophysics Data System (ADS)

Lusk, Shannon Perry

As gas prices soar and energy demand continues to grow amidst increasingly stringent environmental regulations and an assortment of global pressures, implementing alternative energy sources while considering their linked economic, environmental and societal impacts becomes a more pressing matter. The Hydrogen Economy has been proposed as an answer to meeting the increasing energy demand for electric power generation and transportation in an environmentally benign way. Based on current hydrogen technology development, the most practical feedstock to fuel the Hydrogen Economy may prove to be coal via hydrogen production at FutureGen plants. The planned growth of the currently conceived Hydrogen Economy will cause dramatic impacts, some good and some bad, on the economy, the environment, and society, which are interlinked. The goal of this research is to provide tools to inform public policy makers in sorting out policy options related to coal and the Hydrogen Economy. This study examines the impact of a transition to a Hydrogen Economy on the coal industry by creating FutureGen penetration models, forecasting coal MFA's which clearly provide the impact on coal production and associated environmental impacts, and finally formulating a goal programming model that seeks the maximum benefit to society while analyzing the trade-offs between environmental, social, and economical concerns related to coal and the Hydrogen Economy.

[In silico, in vitro, in omic experimental models and drug safety evaluation].

PubMed

Claude, Nancy; Goldfain-Blanc, Françoise; Guillouzo, André

2009-01-01

Over the last few decades, toxicology has benefited from scientific, technical, and bioinformatic developments relating to patient safety assessment during clinical and drug marketing studies. Based on this knowledge, new in silico, in vitro, and "omic" experimental models are emerging. Although these models cannot currently replace classic safety evaluations performed on laboratory animals, they allow compounds with unacceptable toxicity to be rejected in the early stages of drug development, thereby reducing the number of laboratory animals needed. In addition, because these models are particularly adapted to mechanistic studies, they can help to improve the relevance of the data obtained, thus enabling better prevention and screening of the adverse effects that may occur in humans. Much progress remains to be done, especially in the field of validation. Nevertheless, current efforts by industrial, academic laboratories, and regulatory agencies should, in coming years, significantly improve preclinical drug safety evaluation thanks to the integration of these new methods into the drug research and development process.

Evaluation of training programs and entry-level qualifications for nuclear-power-plant control-room personnel based on the systems approach to training

DOE Office of Scientific and Technical Information (OSTI.GOV)

Haas, P M; Selby, D L; Hanley, M J

1983-09-01

This report summarizes results of research sponsored by the US Nuclear Regulatory Commission (NRC) Office of Nuclear Regulatory Research to initiate the use of the Systems Approach to Training in the evaluation of training programs and entry level qualifications for nuclear power plant (NPP) personnel. Variables (performance shaping factors) of potential importance to personnel selection and training are identified, and research to more rigorously define an operationally useful taxonomy of those variables is recommended. A high-level model of the Systems Approach to Training for use in the nuclear industry, which could serve as a model for NRC evaluation of industrymore » programs, is presented. The model is consistent with current publically stated NRC policy, with the approach being followed by the Institute for Nuclear Power Operations, and with current training technology. Checklists to be used by NRC evaluators to assess training programs for NPP control-room personnel are proposed which are based on this model.« less

Quantifying the Effect of Polymer Blending through Molecular Modelling of Cyanurate Polymers

PubMed Central

Crawford, Alasdair O.; Hamerton, Ian; Cavalli, Gabriel; Howlin, Brendan J.

2012-01-01

Modification of polymer properties by blending is a common practice in the polymer industry. We report here a study of blends of cyanurate polymers by molecular modelling that shows that the final experimentally determined properties can be predicted from first principles modelling to a good degree of accuracy. There is always a compromise between simulation length, accuracy and speed of prediction. A comparison of simulation times shows that 125ps of molecular dynamics simulation at each temperature provides the optimum compromise for models of this size with current technology. This study opens up the possibility of computer aided design of polymer blends with desired physical and mechanical properties. PMID:22970230

Catalog of selected heavy duty transport energy management models

NASA Technical Reports Server (NTRS)

Colello, R. G.; Boghani, A. B.; Gardella, N. C.; Gott, P. G.; Lee, W. D.; Pollak, E. C.; Teagan, W. P.; Thomas, R. G.; Snyder, C. M.; Wilson, R. P., Jr.

1983-01-01

A catalog of energy management models for heavy duty transport systems powered by diesel engines is presented. The catalog results from a literature survey, supplemented by telephone interviews and mailed questionnaires to discover the major computer models currently used in the transportation industry in the following categories: heavy duty transport systems, which consist of highway (vehicle simulation), marine (ship simulation), rail (locomotive simulation), and pipeline (pumping station simulation); and heavy duty diesel engines, which involve models that match the intake/exhaust system to the engine, fuel efficiency, emissions, combustion chamber shape, fuel injection system, heat transfer, intake/exhaust system, operating performance, and waste heat utilization devices, i.e., turbocharger, bottoming cycle.

Coastal Circulation and Potential Disease Pathways Among Aquaculture Sites Near the Eastern U.S.- Canadian Border.

NASA Astrophysics Data System (ADS)

Brooks, D. A.

2002-12-01

Infectious Salmon Anemia (ISA) is a flu-like virus that can be transmitted between aquaculture sites by tides and currents, contaminated boats and equipment, fish wastes, and ectoparasites. In 1997 ISA outbreaks were reported in Canadian net-pen aquaculture sites in Passamaquoddy Bay, near the mouth of the Bay of Fundy. In March 2001, the first incidence of ISA in the United States occurred at a site near the entrance to Cobscook Bay, about 5 km west of previously infected sites in Canada. In December 2001, it was necessary to destroy Cobscook fish worth about \\12 million at maturity, decimating the local industry. Most net-pen sites are located in protected bays east of Penobscot Bay, Maine, where large tides and cold waters are favorable for aquaculture. Chaotic tidal mixing provides a ready supply of nutrients and oxygen, and also a potential mechanism for ISA transmission within and between coastal bays. In cold water (~6°$C), the ISA virus may remain infective for several days or longer, according to a recent report from a joint government/industry study in Scotland. Recent model studies indicate rapid spreading of neutral particles over distances of 5 km or more, possibly linking Cobscook and Passamaquoddy Bays within a few tidal cycles. On a larger scale, observations and models show the seasonal development of a coastal current that flows southwestward from the Saint John River in the Bay of Fundy toward Penobscot Bay, where the current generally turns offshore to become part of the circulation in the Gulf of Maine. Tidal excursions superimposed on the nontidal coastal current can result in particle displacements of 10-20 km per day, raising concerns about further migration of fish disease pathogens along the Maine coast.

Natural products and drug discovery: a survey of stakeholders in industry and academia.

PubMed

Amirkia, Vafa; Heinrich, Michael

2015-01-01

In recent decades, natural products have undisputedly played a leading role in the development of novel medicines. Yet, trends in the pharmaceutical industry at the level of research investments indicate that natural product research is neither prioritized nor perceived as fruitful in drug discovery programmes as compared with incremental structural modifications and large volume HTS screening of synthetics. We seek to understand this phenomenon through insights from highly experienced natural product experts in industry and academia. We conducted a survey including a series of qualitative and quantitative questions related to current insights and prospective developments in natural product drug development. The survey was completed by a cross-section of 52 respondents in industry and academia. One recurrent theme is the dissonance between the perceived high potential of NP as drug leads among individuals and the survey participants' assessment of the overall industry and/or company level strategies and their success. The study's industry and academic respondents did not perceive current discovery efforts as more effective as compared with previous decades, yet industry contacts perceived higher hit rates in HTS efforts as compared with academic respondents. Surprisingly, many industry contacts were highly critical to prevalent company and industry-wide drug discovery strategies indicating a high level of dissatisfaction within the industry. These findings support the notion that there is an increasing gap in perception between the effectiveness of well established, commercially widespread drug discovery strategies between those working in industry and academic experts. This research seeks to shed light on this gap and aid in furthering natural product discovery endeavors through an analysis of current bottlenecks in industry drug discovery programmes.

Simulation model for a seven-phase BLDCM drive system

NASA Astrophysics Data System (ADS)

Park, Sang-Hoon; Lee, Won-Cheol; Lee, Jung-Hyo; Yu, Jae-Sung; Kim, Gyu-Sik; Won, Chung-Yuen

2007-12-01

BLDC motors have many advantages over brushed DC motors and induction motors. So, BLDC motors extend their application to many industrial fields. In this paper, the digital simulation and modeling of a 7-phase brushless DC motor have been presented. The 14-switch inverter and a 7-phase brushless DC motor drive system are simulated using hysteresis current controller and logic of switching pattern with the Boolean¡s function. Through some simulations, we found that our modeling and analysis of a 7-phase BLDCM with PWM inverter would be helpful for the further studies of the multi-phase BLDCM drive systems.

[Transfer and Implementation of Innovative Awareness and Education Measures, e-Mental Health and Care Models in psychenet - Hamburg Network for Mental Health].

PubMed

Lambert, Martin; Härter, Martin; Brandes, Andreas; Hillebrandt, Bernd; Schlüter, Catarina; Quante, Susanne

2015-07-01

The Hamburg Network for Mental Health belongs to the healthcare regions in Germany, funded by the Federal Ministry of Education and Research from 2011 to 2015. More than 330 partners from research, health care, health industry and government are promoting innovative health care models and products to improve mental health care in Hamburg. The main objectives comprise the sustained implementation of the Network itself and of successful health care models and products. The article describes current and future implementation possibilities and the present state of the implementation process. © Georg Thieme Verlag KG Stuttgart · New York.

Designing Optimal LNG Station Network for U.S. Heavy-Duty Freight Trucks using Temporally and Spatially Explicit Supply Chain Optimization

NASA Astrophysics Data System (ADS)

Lee, Allen

The recent natural gas boom has opened much discussion about the potential of natural gas and specifically Liquefied Natural Gas (LNG) in the United States transportation sector. The switch from diesel to natural gas vehicles would reduce foreign dependence on oil, spur domestic economic growth, and potentially reduce greenhouse gas emissions. LNG provides the most potential for the medium to heavy-duty vehicle market partially due to unstable oil prices and stagnant natural gas prices. As long as the abundance of unconventional gas in the United States remains cheap, fuel switching to natural gas could provide significant cost savings for long haul freight industry. Amid a growing LNG station network and ever increasing demand for freight movement, LNG heavy-duty truck sales are less than anticipated and the industry as a whole is less economic than expected. In spite of much existing and mature natural gas infrastructure, the supply chain for LNG is different and requires explicit and careful planning. This thesis proposes research to explore the claim that the largest obstacle to widespread LNG market penetration is sub-optimal infrastructure planning. No other study we are aware of has explicitly explored the LNG transportation fuel supply chain for heavy-duty freight trucks. This thesis presents a novel methodology that links a network infrastructure optimization model (represents supply side) with a vehicle stock and economic payback model (represents demand side). The model characterizes both a temporal and spatial optimization model of future LNG transportation fuel supply chains in the United States. The principal research goal is to assess the economic feasibility of the current LNG transportation fuel industry and to determine an optimal pathway to achieve ubiquitous commercialization of LNG vehicles in the heavy-duty transport sector. The results indicate that LNG is not economic as a heavy-duty truck fuel until 2030 under current market conditions unless a significant station capital subsidy, upwards of 50 percent and even then it might not be enough. However, a doubling of LNG truck demand will initialize network commercialization in the modeling base year, 2012 (the same year Clean Energy Corp. launched their national LNG network) in California and then gradually establish in other hotspot regions in Mid-West and Mid-Atlantic throughout the time horizon. The model shows that trucking routes in California are highly commercial due to high traffic volume and regional advantages. The model can be used by industry to inform necessary policies and to plan future infrastructure deployment along trucking routes that are likely to provide the highest returns.

Modeling and Prediction of Fan Noise

NASA Technical Reports Server (NTRS)

Envia, Ed

2008-01-01

Fan noise is a significant contributor to the total noise signature of a modern high bypass ratio aircraft engine and with the advent of ultra high bypass ratio engines like the geared turbofan, it is likely to remain so in the future. As such, accurate modeling and prediction of the basic characteristics of fan noise are necessary ingredients in designing quieter aircraft engines in order to ensure compliance with ever more stringent aviation noise regulations. In this paper, results from a comprehensive study aimed at establishing the utility of current tools for modeling and predicting fan noise will be summarized. It should be emphasized that these tools exemplify present state of the practice and embody what is currently used at NASA and Industry for predicting fan noise. The ability of these tools to model and predict fan noise is assessed against a set of benchmark fan noise databases obtained for a range of representative fan cycles and operating conditions. Detailed comparisons between the predicted and measured narrowband spectral and directivity characteristics of fan nose will be presented in the full paper. General conclusions regarding the utility of current tools and recommendations for future improvements will also be given.

75 FR 13209 - Proposed Information Collection (Technical Industry Standards) Activity: Comment Request

Federal Register 2010, 2011, 2012, 2013, 2014

2010-03-18

... (Technical Industry Standards) Activity: Comment Request AGENCY: Office of Acquisition and Logistics... Industry Standards. OMB Control Number: 2900-0586. Type of Review: Extension of a currently approved collection. Abstract: VAAR provision 852.211-75, Technical Industry Standards, requires items offered for...

Risk transfer modeling among hierarchically associated stakeholders in development of space systems

NASA Astrophysics Data System (ADS)

Henkle, Thomas Grove, III

Research develops an empirically derived cardinal model that prescribes handling and transfer of risks between organizations with hierarchical relationships. Descriptions of mission risk events, risk attitudes, and conditions for risk transfer are determined for client and underwriting entities associated with acquisition, production, and deployment of space systems. The hypothesis anticipates that large client organizations should be able to assume larger dollar-value risks of a program in comparison to smaller organizations even though many current risk transfer arrangements via space insurance violate this hypothesis. A literature survey covers conventional and current risk assessment methods, current techniques used in the satellite industry for complex system development, cardinal risk modeling, and relevant aspects of utility theory. Data gathered from open literature on demonstrated launch vehicle and satellite in-orbit reliability, annual space insurance premiums and losses, and ground fatalities and range damage associated with satellite launch activities are presented. Empirically derived models are developed for risk attitudes of space system clients and third-party underwriters associated with satellite system development and deployment. Two application topics for risk transfer are examined: the client-underwriter relationship on assumption or transfer of risks associated with first-year mission success, and statutory risk transfer agreements between space insurance underwriters and the US government to promote growth in both commercial client and underwriting industries. Results indicate that client entities with wealth of at least an order of magnitude above satellite project costs should retain risks to first-year mission success despite present trends. Furthermore, large client entities such as the US government should never pursue risk transfer via insurance under previously demonstrated probabilities of mission success; potential savings may reasonably exceed multiple tens of $millions per space project. Additional results indicate that current US government statutory arrangements on risk sharing with underwriting entities appears reasonable with respect to stated objectives. This research combines aspects of multiple disciplines to include risk management, decision theory, utility theory, and systems architecting. It also demonstrates development of a more general theory on prescribing risk transfer criteria between distinct, but hierarchically associated entities involved in complex system development with applicability to a variety of technical domains.

From bench to patient: model systems in drug discovery.

PubMed

Breyer, Matthew D; Look, A Thomas; Cifra, Alessandra

2015-10-01

Model systems, including laboratory animals, microorganisms, and cell- and tissue-based systems, are central to the discovery and development of new and better drugs for the treatment of human disease. In this issue, Disease Models & Mechanisms launches a Special Collection that illustrates the contribution of model systems to drug discovery and optimisation across multiple disease areas. This collection includes reviews, Editorials, interviews with leading scientists with a foot in both academia and industry, and original research articles reporting new and important insights into disease therapeutics. This Editorial provides a summary of the collection's current contents, highlighting the impact of multiple model systems in moving new discoveries from the laboratory bench to the patients' bedsides. © 2015. Published by The Company of Biologists Ltd.

What could have caused pre-industrial biomass burning emissions to exceed current rates?

NASA Astrophysics Data System (ADS)

van der Werf, G. R.; Peters, W.; van Leeuwen, T. T.; Giglio, L.

2012-08-01

Recent studies based on trace gas mixing ratios in ice cores and charcoal data indicate that biomass burning emissions over the past millennium exceeded contemporary emissions by up to a factor of 4 for certain time periods. This is surprising because various sources of biomass burning are linked with population density, which has increased over the past centuries. Here we have analyzed how emissions from several biomass burning sources could have fluctuated to yield emissions that are in correspondence with recent results based on ice core mixing ratios of carbon monoxide (CO) and its isotopic signature measured at South Pole station (SPO). Based on estimates of contemporary fire emissions and the TM5 chemical transport model, we found that CO mixing ratios at SPO are more sensitive to emissions from South America and Australia than from Africa, and are relatively insensitive to emissions from the Northern Hemisphere. We then explored how various biomass burning sources may have varied over the past centuries and what the resulting emissions and corresponding CO mixing ratio at SPO would be, using population density variations to reconstruct sources driven by humans (e.g. fuelwood burning) and a new model to relate savanna emissions to changes in fire return times. We found that to match the observed ice core CO data all savannas in the Southern Hemisphere had to burn annually, or bi-annually in combination with deforestation and slash and burn agriculture matching current levels despite much lower population densities and lack of machinery to aid the deforestation process. While possible, these scenarios are unlikely and in conflict with current literature. However, we do show the large potential for increased emissions from savannas in a pre-industrial world. This is mainly because in the past, fuel beds were probably less fragmented compared to the current situation; we show that the majority of savannas have not burned in the past 10 yr, even in Africa which is considered "the burning continent". Our new modelling results, together with existing literature, indicate that no definitive conclusions can be drawn about unprecedentedly high or low biomass burning rates from current data analyses.

77 FR 53170 - Notice of Request for Extension of a Currently Approved Information Collection

Federal Register 2010, 2011, 2012, 2013, 2014

2012-08-31

... Business and Industry Guaranteed Loan Program is to improve, develop, or finance business, industry, and... DEPARTMENT OF AGRICULTURE Rural Business-Cooperative Service Notice of Request for Extension of a Currently Approved Information Collection AGENCY: Rural Business-Cooperative Service. ACTION: Proposed...

The Negro in the Furniture Industry. The Racial Policies of American Industry Series.

ERIC Educational Resources Information Center

Fulmer, William E.

This is the twenty-eighth of a series of studies conducted to determine variances in industrial employment practices of Negroes and to develop appropriate hiring policies. This particular study sought to examine current racial employment policies in the furniture industry within the context of the industry's structure and history. Interviews with…

Cold and Hot Extremozymes: Industrial Relevance and Current Trends

PubMed Central

Sarmiento, Felipe; Peralta, Rocío; Blamey, Jenny M.

2015-01-01

The development of enzymes for industrial applications relies heavily on the use of microorganisms. The intrinsic properties of microbial enzymes, e.g., consistency, reproducibility, and high yields along with many others, have pushed their introduction into a wide range of products and industrial processes. Extremophilic microorganisms represent an underutilized and innovative source of novel enzymes. These microorganisms have developed unique mechanisms and molecular means to cope with extreme temperatures, acidic and basic pH, high salinity, high radiation, low water activity, and high metal concentrations among other environmental conditions. Extremophile-derived enzymes, or extremozymes, are able to catalyze chemical reactions under harsh conditions, like those found in industrial processes, which were previously not thought to be conducive for enzymatic activity. Due to their optimal activity and stability under extreme conditions, extremozymes offer new catalytic alternatives for current industrial applications. These extremozymes also represent the cornerstone for the development of environmentally friendly, efficient, and sustainable industrial technologies. Many advances in industrial biocatalysis have been achieved in recent years; however, the potential of biocatalysis through the use of extremozymes is far from being fully realized. In this article, the adaptations and significance of psychrophilic, thermophilic, and hyperthermophilic enzymes, and their applications in selected industrial markets will be reviewed. Also, the current challenges in the development and mass production of extremozymes as well as future prospects and trends for their biotechnological application will be discussed. PMID:26539430

Solid Rocket Motor Combustion Instability Modeling in COMSOL Multiphysics

NASA Technical Reports Server (NTRS)

Fischbach, Sean R.

2015-01-01

Combustion instability modeling of Solid Rocket Motors (SRM) remains a topic of active research. Many rockets display violent fluctuations in pressure, velocity, and temperature originating from the complex interactions between the combustion process, acoustics, and steady-state gas dynamics. Recent advances in defining the energy transport of disturbances within steady flow-fields have been applied by combustion stability modelers to improve the analysis framework [1, 2, 3]. Employing this more accurate global energy balance requires a higher fidelity model of the SRM flow-field and acoustic mode shapes. The current industry standard analysis tool utilizes a one dimensional analysis of the time dependent fluid dynamics along with a quasi-three dimensional propellant grain regression model to determine the SRM ballistics. The code then couples with another application that calculates the eigenvalues of the one dimensional homogenous wave equation. The mean flow parameters and acoustic normal modes are coupled to evaluate the stability theory developed and popularized by Culick [4, 5]. The assumption of a linear, non-dissipative wave in a quiescent fluid remains valid while acoustic amplitudes are small and local gas velocities stay below Mach 0.2. The current study employs the COMSOL multiphysics finite element framework to model the steady flow-field parameters and acoustic normal modes of a generic SRM. The study requires one way coupling of the CFD High Mach Number Flow (HMNF) and mathematics module. The HMNF module evaluates the gas flow inside of a SRM using St. Robert's law to model the solid propellant burn rate, no slip boundary conditions, and the hybrid outflow condition. Results from the HMNF model are verified by comparing the pertinent ballistics parameters with the industry standard code outputs (i.e. pressure drop, thrust, ect.). These results are then used by the coefficient form of the mathematics module to determine the complex eigenvalues of the Acoustic Velocity Potential Equation (AVPE). The mathematics model is truncated at the nozzle sonic line, where a zero flux boundary condition is self-satisfying. The remaining boundaries are modeled with a zero flux boundary condition, assuming zero acoustic absorption on all surfaces. The results of the steady-state CFD and AVPE analyses are used to calculate the linear acoustic growth rate as is defined by Flandro and Jacob [2, 3]. In order to verify the process implemented within COMSOL we first employ the Culick theory and compare the results with the industry standard. After the process is verified, the Flandro/Jacob energy balance theory is employed and results displayed.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Hansen, Jason K.; Jacobson, Jacob J.; Cafferty, Kara G.

In order to increase the sustainability and security of the nation’s energy supply, the U.S. Department of Energy through its Bioenergy Technology Office has set a vision for one billion tons of biomass to be processed for renewable energy and bioproducts annually by the year 2030. The Renewable Fuels Standard limits the amount of corn grain that can be used in ethanol conversion sold in the U.S, which is already at its maximum. Therefore making the DOE’s vision a reality requires significant growth in the advanced biofuels industry where currently three cellulosic biorefineries convert cellulosic biomass to ethanol. Risk mitigationmore » is central to growing the industry beyond its infancy to a level necessary to achieve the DOE vision. This paper focuses on reducing the supply risk that faces a firm that owns a cellulosic biorefinery. It uses risk theory and simulation modeling to build a risk assessment model based on causal relationships of underlying, uncertain, supply driving variables. Using the model the paper quantifies supply risk reduction achieved by converting the supply chain from a conventional supply system (bales and trucks) to an advanced supply system (depots, pellets, and trains). Results imply that the advanced supply system reduces supply system risk, defined as the probability of a unit cost overrun, from 83% in the conventional system to 4% in the advanced system. Reducing cost risk in this nascent industry improves the odds of realizing desired growth.« less

A novel grey-fuzzy-Markov and pattern recognition model for industrial accident forecasting

NASA Astrophysics Data System (ADS)

Edem, Inyeneobong Ekoi; Oke, Sunday Ayoola; Adebiyi, Kazeem Adekunle

2017-10-01

Industrial forecasting is a top-echelon research domain, which has over the past several years experienced highly provocative research discussions. The scope of this research domain continues to expand due to the continuous knowledge ignition motivated by scholars in the area. So, more intelligent and intellectual contributions on current research issues in the accident domain will potentially spark more lively academic, value-added discussions that will be of practical significance to members of the safety community. In this communication, a new grey-fuzzy-Markov time series model, developed from nondifferential grey interval analytical framework has been presented for the first time. This instrument forecasts future accident occurrences under time-invariance assumption. The actual contribution made in the article is to recognise accident occurrence patterns and decompose them into grey state principal pattern components. The architectural framework of the developed grey-fuzzy-Markov pattern recognition (GFMAPR) model has four stages: fuzzification, smoothening, defuzzification and whitenisation. The results of application of the developed novel model signify that forecasting could be effectively carried out under uncertain conditions and hence, positions the model as a distinctly superior tool for accident forecasting investigations. The novelty of the work lies in the capability of the model in making highly accurate predictions and forecasts based on the availability of small or incomplete accident data.

Cosmeceuticals: current trends and market analysis.

PubMed

Brandt, Fredric S; Cazzaniga, Alex; Hann, Michael

2011-09-01

The desire to maintain a youthful image combined with an emerging global market with disposable income has driven the development of many new industries. The cosmeceutical industry is based on the development and marketing of products that lie between cosmetics and pharmaceuticals. Today, there are over 400 suppliers and manufacturers of cosmeceutical products, and the industry is estimated to grow by 7.4% by 2012. Although a number of products advertise predictable outcomes, the industry is largely unregulated and any consumers of cosmeceutical products should consult a dermatologist prior to use. This review will provide a snapshot of the current trends of this industry and provide an analysis of this multi-billion dollar market. Copyright © 2011 Elsevier Inc. All rights reserved.

The Impact of TexAQS 2000 on Air Quality Planning in Houston

NASA Astrophysics Data System (ADS)

Thomas, J. W.; Price, J. H.

2002-12-01

Before the Texas 2000 Air Quality Study (TexAQS 2000) the State used the Urban Airshed Model to model nine different episodes in Houston with very poor results: only one episode met EPA model performance criteria. Questions existed regarding emissions uncertainties, meteorological modeling, and model chemistry. NOAA, DOE, and SOS led more than 35 organizations and 250 investigators who participated in TexAQS 2000. Major findings from TexAQS 2000 are: 1. There are two types of meteorological patterns that lead to ozone episodes in the Houston area: (i) stagnation associated with the sea breeze flow reversal causes a pool of industrial emissions and ozone to accumulate, then to move across the city as the wind flow picks up and (ii) plumes of ozone form when relatively persistent winds carry the emissions away from the city and industrial areas. 2. The chemistry that produces high ozone concentrations and rapid rises in ozone in the Houston area has been explained: multiple investigators in TexAQS 2000 have documented more rapid and more efficient formation of ozone in the plume from the Houston industrial area than any of them has observed in any previous field study. Houston's exceptionally rapid ozone formation arises from large amounts of anthropogenic VOCs in the atmosphere, often from the same plants that provide sufficient NOx. 3. This rapid and efficient ozone formation results most often from the presence of a specific subclass of hydrocarbons called light olefins, primarily ethylene and propylene. 4. Sometimes it is other specific hydrocarbons that cause the rapid formation of high concentrations of ozone, and sometimes it is just the total mass of a lot of relatively unreactive hydrocarbons. 5. The current emissions inventory for ethylene and propylene, as well as other VOCs, underestimates their routine emissions by a factor of roughly five to ten or perhaps even more. 6. It is not clear whether the emissions causing Houston's rapid ozone formation are the results of upsets or of routine operations or both. Each of the research groups in TexAQS 2000 has found that the data are consistent with routine emissions; however, their analyses do not exclude the possibility of multiple releases per day that would not be readily distinguishable from continuous emissions. 7. Further analysis of the data collected in 2000 and 2001 will be necessary to refine the estimates of the discrepancy between reported and actual VOC emissions and assign top-down VOC emissions inventory corrections for the current round of regulatory modeling. 8. Additional work will need to continue for the next few years with the cooperation of industry to develop an adequate bottom-up emissions inventory for VOCs. 9. The opportunity to compare regulatory modeling results to state-of-the-science aircraft measurements is a major advance in determining whether photochemical models are getting the right answers for the right reasons. Doing so is critical to development of effective and cost-effective control strategies. Without TexAQS 2000 and subsequent findings, the one-hour ozone control strategies for Houston would not address the problem correctly. What's next? The challenges of the impending 8-hour ozone standard will demand even more precision in our technical work to develop efficient and cost-effective strategies to demonstrate attainment. There is a proposal to conduct another major field study in 2005 to build on our current understanding of the science for ozone, fine particulate matter, and regional haze in Texas.

A gap analysis of meteorological requirements for commercial space operators

NASA Astrophysics Data System (ADS)

Stapleton, Nicholas James

Commercial space companies will soon be the primary method of launching people and supplies into orbit. Among the critical aspects of space launches are the meteorological concerns. Laws and regulations pertaining to meteorological considerations have been created to ensure the safety of the space industry and those living around spaceports; but, are they adequate? Perhaps the commercial space industry can turn to the commercial aviation industry to help answer that question. Throughout its history, the aviation industry has dealt with lessons learned from mishaps due to failures in understanding the significance of weather impacts on operations. Using lessons from the aviation industry, the commercial space industry can preempt such accidents and maintain viability as an industry. Using Lanicci's Strategic Planning Model, this study identified the weather needs of the commercial space industry by conducting three gap analyses. First, a comparative analysis was done between laws and regulations in commercial aviation and those in the commercial space industry pertaining to meteorological support, finding a "legislative gap" between the two industries, as no legal guarantee is in place to ensure weather products remain available to the commercial space industry. A second analysis was conducted between the meteorological services provided for the commercial aviation industry and commercial space industry, finding a gap at facilities not located at an established launch facility or airport. At such facilities, many weather observational technologies would not be present, and would need to be purchased by the company operating the spaceport facility. A third analysis was conducted between the meteorological products and regulations that are currently in existence, and those needed for safe operations within the commercial space industry, finding gaps in predicting lightning, electric field charge, and space weather. Recommendations to address these deficiencies have been generated for the Federal Aviation Administration, U.S. Congress, commercial space launch companies, and areas are identified for further research.

Mathematical modeling of the gas and powder flow in the (HVOF) systems to optimize their coatings quality

NASA Technical Reports Server (NTRS)

Tawfik, Hazem H.

1996-01-01

Thermally sprayed coatings have been extensively used to enhance materials properties and provide surface protection against their working environments in a number of industrial applications. Thermal barrier coatings (TBC) are used to reduce the thermal conductivity of aerospace turbine blades and improve the turbine overall thermal efficiency. TBC allows higher gas operating temperatures and lower blade material temperatures due to the thermal insulation provided by these ceramic coatings. In the automotive industry, coatings are currently applied to a number of moving parts that are subjected to friction and wear inside the engine such as pistons, cylinder liners, valves and crankshafts to enhance their wear resistance and prolong their useful operation and lifetime.

Coal conversion products Industrial applications

NASA Technical Reports Server (NTRS)

Warren, D.; Dunkin, J.

1980-01-01

The synfuels economic evaluation model was utilized to analyze cost and product economics of the TVA coal conversion facilities. It is concluded that; (1) moderate yearly future escalations ( 6%) in current natural gas prices will result in medium-Btu gas becoming competitive with natural gas at the plant boundary; (2) utilizing DRI price projections, the alternate synfuel products, except for electricity, will be competitive with their counterparts; (3) central site fuel cell generation of electricity, utilizing MBG, is economically less attractive than the other synthetic fuels, given projected price rises in electricity produced by other means; and (4) because of estimated northern Alabama synfuels market demands, existing conventional fuels, infrastructure and industrial synfuels retrofit problems, a diversity of transportable synfuels products should be produced by the conversion facility.

Technology transfer into the solid propulsion industry

NASA Technical Reports Server (NTRS)

Campbell, Ralph L.; Thomson, Lawrence J.

1995-01-01

This paper is a survey of the waste minimization efforts of industries outside of aerospace for possible applications in the manufacture of solid rocket motors (SRM) for NASA. The Redesigned Solid Rocket Motor (RSRM) manufacturing plan was used as the model for processes involved in the production of an SRM. A literature search was conducted to determine the recycling, waste minimization, and waste treatment methods used in the commercial sector that might find application in SRM production. Manufacturers, trade organizations, and professional associations were also contacted. Waste minimization efforts for current processes and replacement technologies, which might reduce the amount or severity of the wastes generated in SRM production, were investigated. An overview of the results of this effort are presented in this paper.

Radio-Frequency Applications for Food Processing and Safety.

PubMed

Jiao, Yang; Tang, Juming; Wang, Yifen; Koral, Tony L

2018-03-25

Radio-frequency (RF) heating, as a thermal-processing technology, has been extending its applications in the food industry. Although RF has shown some unique advantages over conventional methods in industrial drying and frozen food thawing, more research is needed to make it applicable for food safety applications because of its complex heating mechanism. This review provides comprehensive information regarding RF-heating history, mechanism, fundamentals, and applications that have already been fully developed or are still under research. The application of mathematical modeling as a useful tool in RF food processing is also reviewed in detail. At the end of the review, we summarize the active research groups in the RF food thermal-processing field, and address the current problems that still need to be overcome.

The US Cruise Ship Industry.

ERIC Educational Resources Information Center

Miller, Willis H.

1985-01-01

The cruise ship industry relates directly to many features of the natural and cultural environments. The U.S. cruise ship industry is analyzed. Discusses the size of the industry, precruise passenger liners, current cruise ships, cruise regions and routes, ports of call, major ports, passengers, and future prospects. (RM)

75 FR 28857 - Agency Information Collection (Technical Industry Standards) Activities Under OMB Review

Federal Register 2010, 2011, 2012, 2013, 2014

2010-05-24

... (Technical Industry Standards) Activities Under OMB Review AGENCY: Office of Acquisition and Logistics... Industry Standards. OMB Control Number: 2900-0586. Type of Review: Extension of a currently approved collection. Abstract: VAAR provision 852.211-75, Technical Industry Standards, requires that items offered...

Making It Professionally: Student Identity and Industry Professionals in Higher Education

ERIC Educational Resources Information Center

Ashton, Daniel

2009-01-01

Addressing connections between higher education and "industry" framed by UK government creative industries strategies, this article draws on research with games design students to explore their transition from being a student to being "industry-ready". The article introduces broader currents within higher education around…

A New Model for Optimal Mechanical and Thermal Performance of Cement-Based Partition Wall

PubMed Central

Huang, Shiping; Hu, Mengyu; Cui, Nannan; Wang, Weifeng

2018-01-01

The prefabricated cement-based partition wall has been widely used in assembled buildings because of its high manufacturing efficiency, high-quality surface, and simple and convenient construction process. In this paper, a general porous partition wall that is made from cement-based materials was proposed to meet the optimal mechanical and thermal performance during transportation, construction and its service life. The porosity of the proposed partition wall is formed by elliptic-cylinder-type cavities. The finite element method was used to investigate the mechanical and thermal behaviour, which shows that the proposed model has distinct advantages over the current partition wall that is used in the building industry. It is found that, by controlling the eccentricity of the elliptic-cylinder cavities, the proposed wall stiffness can be adjusted to respond to the imposed loads and to improve the thermal performance, which can be used for the optimum design. Finally, design guidance is provided to obtain the optimal mechanical and thermal performance. The proposed model could be used as a promising candidate for partition wall in the building industry. PMID:29673176

Development of FAST.Farm: A New Multiphysics Engineering Tool for Wind Farm Design and Analysis: Preprint

DOE Office of Scientific and Technical Information (OSTI.GOV)

Jonkman, Jason; Annoni, Jennifer; Hayman, Greg

2017-01-01

This paper presents the development of FAST.Farm, a new multiphysics tool applicable to engineering problems in research and industry involving wind farm performance and cost optimization that is needed to address the current underperformance, failures, and expenses plaguing the wind industry. Achieving wind cost-of-energy targets - which requires improvements in wind farm performance and reliability, together with reduced uncertainty and expenditures - has been eluded by the complicated nature of the wind farm design problem, especially the sophisticated interaction between atmospheric phenomena and wake dynamics and array effects. FAST.Farm aims to balance the need for accurate modeling of the relevantmore » physics for predicting power performance and loads while maintaining low computational cost to support a highly iterative and probabilistic design process and system-wide optimization. FAST.Farm makes use of FAST to model the aero-hydro-servo-elastics of distinct turbines in the wind farm, and it is based on some of the principles of the Dynamic Wake Meandering (DWM) model, but avoids many of the limitations of existing DWM implementations.« less

Microparticle Separation by Cyclonic Separation

NASA Astrophysics Data System (ADS)

Karback, Keegan; Leith, Alexander

2017-11-01

The ability to separate particles based on their size has wide ranging applications from the industrial to the medical. Currently, cyclonic separators are primarily used in agriculture and manufacturing to syphon out contaminates or products from an air supply. This has led us to believe that cyclonic separation has more applications than the agricultural and industrial. Using the OpenFoam computational package, we were able to determine the flow parameters of a vortex in a cyclonic separator in order to segregate dust particles to a cutoff size of tens of nanometers. To test the model, we constructed an experiment to separate a test dust of various sized particles. We filled a chamber with Arizona test dust and utilized an acoustic suspension technique to segregate particles finer than a coarse cutoff size and introduce them into the cyclonic separation apparatus where they were further separated via a vortex following our computational model. The size of the particles separated from this experiment will be used to further refine our model. Metropolitan State University of Denver, Colorado University of Denver, Dr. Randall Tagg, Dr. Richard Krantz.

A Fully Automated and Robust Method to Incorporate Stamping Data in Crash, NVH and Durability Analysis

NASA Astrophysics Data System (ADS)

Palaniswamy, Hariharasudhan; Kanthadai, Narayan; Roy, Subir; Beauchesne, Erwan

2011-08-01

Crash, NVH (Noise, Vibration, Harshness), and durability analysis are commonly deployed in structural CAE analysis for mechanical design of components especially in the automotive industry. Components manufactured by stamping constitute a major portion of the automotive structure. In CAE analysis they are modeled at a nominal state with uniform thickness and no residual stresses and strains. However, in reality the stamped components have non-uniformly distributed thickness and residual stresses and strains resulting from stamping. It is essential to consider the stamping information in CAE analysis to accurately model the behavior of the sheet metal structures under different loading conditions. Especially with the current emphasis on weight reduction by replacing conventional steels with aluminum and advanced high strength steels it is imperative to avoid over design. Considering this growing need in industry, a highly automated and robust method has been integrated within Altair Hyperworks® to initialize sheet metal components in CAE models with stamping data. This paper demonstrates this new feature and the influence of stamping data for a full car frontal crash analysis.

A New Model for Optimal Mechanical and Thermal Performance of Cement-Based Partition Wall.

PubMed

Huang, Shiping; Hu, Mengyu; Huang, Yonghui; Cui, Nannan; Wang, Weifeng

2018-04-17

The prefabricated cement-based partition wall has been widely used in assembled buildings because of its high manufacturing efficiency, high-quality surface, and simple and convenient construction process. In this paper, a general porous partition wall that is made from cement-based materials was proposed to meet the optimal mechanical and thermal performance during transportation, construction and its service life. The porosity of the proposed partition wall is formed by elliptic-cylinder-type cavities. The finite element method was used to investigate the mechanical and thermal behaviour, which shows that the proposed model has distinct advantages over the current partition wall that is used in the building industry. It is found that, by controlling the eccentricity of the elliptic-cylinder cavities, the proposed wall stiffness can be adjusted to respond to the imposed loads and to improve the thermal performance, which can be used for the optimum design. Finally, design guidance is provided to obtain the optimal mechanical and thermal performance. The proposed model could be used as a promising candidate for partition wall in the building industry.

Estimating the carbon budget and maximizing future carbon uptake for a temperate forest region in the U.S.

PubMed Central

2012-01-01

Background Forests of the Midwest U.S. provide numerous ecosystem services. Two of these, carbon sequestration and wood production, are often portrayed as conflicting. Currently, carbon management and biofuel policies are being developed to reduce atmospheric CO2 and national dependence on foreign oil, and increase carbon storage in ecosystems. However, the biological and industrial forest carbon cycles are rarely studied in a whole-system structure. The forest system carbon balance is the difference between the biological (net ecosystem production) and industrial (net emissions from forest industry) forest carbon cycles, but to date this critical whole system analysis is lacking. This study presents a model of the forest system, uses it to compute the carbon balance, and outlines a methodology to maximize future carbon uptake in a managed forest region. Results We used a coupled forest ecosystem process and forest products life cycle inventory model for a regional temperate forest in the Midwestern U.S., and found the net system carbon balance for this 615,000 ha forest was positive (2.29 t C ha-1 yr-1). The industrial carbon budget was typically less than 10% of the biological system annually, and averaged averaged 0.082 t C ha-1 yr-1. Net C uptake over the next 100-years increased by 22% or 0.33 t C ha-1 yr-1 relative to the current harvest rate in the study region under the optized harvest regime. Conclusions The forest’s biological ecosystem current and future carbon uptake capacity is largely determined by forest harvest practices that occurred over a century ago, but we show an optimized harvesting strategy would increase future carbon sequestration, or wood production, by 20-30%, reduce long transportation chain emissions, and maintain many desirable stand structural attributes that are correlated to biodiversity. Our results for this forest region suggest that increasing harvest over the next 100 years increases the strength of the carbon sink, and that carbon sequestration and wood production are not conflicting for this particular forest ecosystem. The optimal harvest strategy found here may not be the same for all forests, but the methodology is applicable anywhere sufficient forest inventory data exist. PMID:22713794

Characterizing the health and safety needs of the collision repair industry.

PubMed

Whittaker, Stephen G; Reeb-Whitaker, Carolyn

2009-05-01

Production workers in the collision repair industry are potentially exposed to many harmful chemicals, including isocyanates. Of particular concern is the burden of work-related asthma in this industry that likely reflects exposures to the isocyanates in two-part paints. The main objectives of this study were to gather information about: (i) the collision repair industry business model, (ii) the number of collision repair production workers potentially exposed to isocyanates, (iii) additional chemical and physical exposures of concern, (iv) current health and safety practices in the industry, (v) the health and safety perceptions and needs of business owners and managers, and (vi) strategies to reduce exposure and increase employer and worker awareness. Data were gathered using a combination of key informant interviews, field investigations, and a statewide needs assessment survey. Although a response bias cannot be excluded, the 69% response rate suggests that the survey results are likely representative of Washington State's collision repair industry. Collision repair was determined to be a male-dominated industry chiefly comprising small, nonunionized, family-run businesses. Many shops face numerous safety and health challenges resulting from a combination of misinformation within the industry, insufficient funds to address workplace health and safety concerns, and social barriers to enforcing best practices within the shops. Most notably, inappropriate selection and use of respirators and gloves likely contribute significantly to isocyanate exposures. Collision repair workers are potentially exposed to a variety of additional chemical and physical hazards that deserve attention. This industry requires health and safety intervention of both an educational campaign and technical assistance. Any such intervention must account for the financial, demographic, and social characteristics of this industry.

Experimental primates and non-human primate (NHP) models of human diseases in China: current status and progress

PubMed Central

ZHANG, Xiao-Liang; PANG, Wei; HU, Xin-Tian; LI, Jia-Li; YAO, Yong-Gang; ZHENG, Yong-Tang

2014-01-01

Non-human primates (NHPs) are phylogenetically close to humans, with many similarities in terms of physiology, anatomy, immunology, as well as neurology, all of which make them excellent experimental models for biomedical research. Compared with developed countries in America and Europe, China has relatively rich primate resources and has continually aimed to develop NHPs resources. Currently, China is a leading producer and a major supplier of NHPs on the international market. However, there are some deficiencies in feeding and management that have hampered China’s growth in NHP research and materials. Nonetheless, China has recently established a number of primate animal models for human diseases and achieved marked scientific progress on infectious diseases, cardiovascular diseases, endocrine diseases, reproductive diseases, neurological diseases, and ophthalmic diseases, etc. Advances in these fields via NHP models will undoubtedly further promote the development of China’s life sciences and pharmaceutical industry, and enhance China’s position as a leader in NHP research. This review covers the current status of NHPs in China and other areas, highlighting the latest developments in disease models using NHPs, as well as outlining basic problems and proposing effective countermeasures to better utilize NHP resources and further foster NHP research in China. PMID:25465081

Development of a Magneto-Resistive Angular Position Sensor for Space Mechanisms

NASA Technical Reports Server (NTRS)

Hahn, Robert; Schmidt, Tilo; Seifart, Klaus; Olberts, Bastian; Romera, Fernando

2016-01-01

Magnetic microsystems in the form of magneto-resistive (MR) sensors are firmly established in automobiles and industrial applications. They are used to measure travel, angle, electrical current, or magnetic fields. MR technology opens up new sensor possibilities in space applications and can be an enabling technology for optimal performance, high robustness and long lifetime at reasonable costs. In some science missions, the technology is already applied, however, the designs are proprietary and case specific, for instance in case of the angular sensors used for JPL/NASA's Mars rover Curiosity [1]. Since 2013 HTS GmbH and Sensitec GmbH have teamed up to develop and qualify a standardized yet flexible to use MR angular sensor for space mechanisms. Starting with a first assessment study and market survey performed under ESA contract, a very strong industry interest in novel, contactless position measurement means was found. Currently a detailed and comprehensive development program is being performed by HTS and Sensitec. The objective of this program is to advance the sensor design up to Engineering Qualification Model level and to perform qualification testing for a representative space application. The paper briefly reviews the basics of magneto-resistive effects and possible sensor applications and describes the key benefits of MR angular sensors with reference to currently operational industrial and space applications. The key applications and specification are presented and the preliminary baseline mechanical and electrical design will be discussed. An outlook on the upcoming development and test stages as well as the qualification program will be provided.

Workforce assessment of the inland waterways industry : a survey of current and future training and personnel needs.

DOT National Transportation Integrated Search

2013-10-01

This report describes the findings of a preliminary review of the workforce needs of the inland waterways industry, which currently confronts a human resources crisis and must recruit more people who can work their way up to the skilled positions on ...

Analytical evaluation of current starch methods used in the international sugar industry: Part I

USDA-ARS?s Scientific Manuscript database

Several analytical starch methods currently exist in the international sugar industry that are used to prevent or mitigate starch-related processing challenges as well as assess the quality of traded end-products. These methods use simple iodometric chemistry, mostly potato starch standards, and uti...

Optimizing Biorefinery Design and Operations via Linear Programming Models

DOE Office of Scientific and Technical Information (OSTI.GOV)

Talmadge, Michael; Batan, Liaw; Lamers, Patrick

The ability to assess and optimize economics of biomass resource utilization for the production of fuels, chemicals and power is essential for the ultimate success of a bioenergy industry. The team of authors, consisting of members from the National Renewable Energy Laboratory (NREL) and the Idaho National Laboratory (INL), has developed simple biorefinery linear programming (LP) models to enable the optimization of theoretical or existing biorefineries. The goal of this analysis is to demonstrate how such models can benefit the developing biorefining industry. It focuses on a theoretical multi-pathway, thermochemical biorefinery configuration and demonstrates how the biorefinery can use LPmore » models for operations planning and optimization in comparable ways to the petroleum refining industry. Using LP modeling tools developed under U.S. Department of Energy's Bioenergy Technologies Office (DOE-BETO) funded efforts, the authors investigate optimization challenges for the theoretical biorefineries such as (1) optimal feedstock slate based on available biomass and prices, (2) breakeven price analysis for available feedstocks, (3) impact analysis for changes in feedstock costs and product prices, (4) optimal biorefinery operations during unit shutdowns / turnarounds, and (5) incentives for increased processing capacity. These biorefinery examples are comparable to crude oil purchasing and operational optimization studies that petroleum refiners perform routinely using LPs and other optimization models. It is important to note that the analyses presented in this article are strictly theoretical and they are not based on current energy market prices. The pricing structure assigned for this demonstrative analysis is consistent with $4 per gallon gasoline, which clearly assumes an economic environment that would favor the construction and operation of biorefineries. The analysis approach and examples provide valuable insights into the usefulness of analysis tools for maximizing the potential benefits of biomass utilization for production of fuels, chemicals and power.« less

High-performance work systems in health care management, part 1: development of an evidence-informed model.

PubMed

Garman, Andrew N; McAlearney, Ann Scheck; Harrison, Michael I; Song, Paula H; McHugh, Megan

2011-01-01

: Although management practices are recognized as important factors in improving health care quality and efficiency, most research thus far has focused on individual practices, ignoring or underspecifying the contexts within which these practices are operating. Research from other industries, which has increasingly focused on systems rather than individual practices, has yielded results that may benefit health services management. : Our goal was to develop a conceptual model on the basis of prior research from health care as well as other industries that could be used to inform important contextual considerations within health care. : Using theoretical frameworks from A. Donabedian (1966), P. M. Wright, T. M. Gardner, and L. M. Moynihan (2003), and B. Schneider, D. B. Smith, and H. W. Goldstein (2000) and review methods adapted from R. Pawson (2006b), we reviewed relevant research from peer-reviewed and other industry-relevant sources to inform our model. The model we developed was then reviewed with a panel of practitioners, including experts in quality and human resource management, to assess the applicability of the model to health care settings. : The resulting conceptual model identified four practice bundles, comprising 14 management practices as well as nine factors influencing adoption and perceived sustainability of these practices. The mechanisms by which these practices influence care outcomes are illustrated using the example of hospital-acquired infections. In addition, limitations of the current evidence base are discussed, and an agenda for future research in health care settings is outlined. : Results may help practitioners better conceptualize management practices as part of a broader system of work practices. This may, in turn, help practitioners to prioritize management improvement efforts more systematically.

Trends in the Information Industry.

ERIC Educational Resources Information Center

Hogan, Thomas H.

1987-01-01

The current president of the American Society for Information Science shares his observations about the information industry, identifying positive and negative trends, and discusses the role ASIS can play in the continuing growth of the industry. (Author/CLB)

Screening strategies to identify new chemical diversity for drug development to treat kinetoplastid infections.

PubMed

Don, Rob; Ioset, Jean-Robert

2014-01-01

The Drugs for Neglected Diseases initiative (DNDi) has defined and implemented an early discovery strategy over the last few years, in fitting with its virtual R&D business model. This strategy relies on a medium- to high-throughput phenotypic assay platform to expedite the screening of compound libraries accessed through its collaborations with partners from the pharmaceutical industry. We review the pragmatic approaches used to select compound libraries for screening against kinetoplastids, taking into account screening capacity. The advantages, limitations and current achievements in identifying new quality series for further development into preclinical candidates are critically discussed, together with attractive new approaches currently under investigation.

Modeling and Quantification of Team Performance in Human Reliability Analysis for Probabilistic Risk Assessment

DOE Office of Scientific and Technical Information (OSTI.GOV)

Jeffrey C. JOe; Ronald L. Boring

Probabilistic Risk Assessment (PRA) and Human Reliability Assessment (HRA) are important technical contributors to the United States (U.S.) Nuclear Regulatory Commission’s (NRC) risk-informed and performance based approach to regulating U.S. commercial nuclear activities. Furthermore, all currently operating commercial NPPs in the U.S. are required by federal regulation to be staffed with crews of operators. Yet, aspects of team performance are underspecified in most HRA methods that are widely used in the nuclear industry. There are a variety of "emergent" team cognition and teamwork errors (e.g., communication errors) that are 1) distinct from individual human errors, and 2) important to understandmore » from a PRA perspective. The lack of robust models or quantification of team performance is an issue that affects the accuracy and validity of HRA methods and models, leading to significant uncertainty in estimating HEPs. This paper describes research that has the objective to model and quantify team dynamics and teamwork within NPP control room crews for risk informed applications, thereby improving the technical basis of HRA, which improves the risk-informed approach the NRC uses to regulate the U.S. commercial nuclear industry.« less

78 FR 18252 - Prevailing Rate Systems; North American Industry Classification System Based Federal Wage System...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-03-26

...-AM78 Prevailing Rate Systems; North American Industry Classification System Based Federal Wage System... 2007 North American Industry Classification System (NAICS) codes currently used in Federal Wage System... (OPM) issued a final rule (73 FR 45853) to update the 2002 North American Industry Classification...

Best Practices in School-to-Careers: The Utilities Industry.

ERIC Educational Resources Information Center

National Employer Leadership Council, Washington, DC.

This document highlights the school-to-careers (STC) partnerships connecting workplace experiences to classroom learning to prepare students for successful employment in the utilities industry. First, the current state of the utilities industry and careers in the utilities industry are reviewed. Next, the following organizations and employers are…

The Origin and Management of a State/Industry/University Research Center.

ERIC Educational Resources Information Center

Loper, Gerald D.; Sudermann, Frederick

1998-01-01

Describes the origins and first two years of a focused collaborative project involving Wichita State University (Kansas), the aviation industry, and state economic-development organizations. The center is industry-driven and reflects the industry's current technological needs. The arrangement can offer significant advantages to each stakeholder,…

For the Horticulture Teacher--A Personal In-Service Program Can Keep You Relevant.

ERIC Educational Resources Information Center

Karns, Christine D.

1980-01-01

To keep current with industry changes, the vocational horticulture instructor can join horticulture industry associations, utilize horticulture outlets for field trips, use horticulture experts as resource persons, work in the industry, participate in university-sponsored inservice programs, attend industry association workshops and seminars, and…

Controlled Positioning of Cells in Biomaterials—Approaches Towards 3D Tissue Printing

PubMed Central

Wüst, Silke; Müller, Ralph; Hofmann, Sandra

2011-01-01

Current tissue engineering techniques have various drawbacks: they often incorporate uncontrolled and imprecise scaffold geometries, whereas the current conventional cell seeding techniques result mostly in random cell placement rather than uniform cell distribution. For the successful reconstruction of deficient tissue, new material engineering approaches have to be considered to overcome current limitations. An emerging method to produce complex biological products including cells or extracellular matrices in a controlled manner is a process called bioprinting or biofabrication, which effectively uses principles of rapid prototyping combined with cell-loaded biomaterials, typically hydrogels. 3D tissue printing is an approach to manufacture functional tissue layer-by-layer that could be transplanted in vivo after production. This method is especially advantageous for stem cells since a controlled environment can be created to influence cell growth and differentiation. Using printed tissue for biotechnological and pharmacological needs like in vitro drug-testing may lead to a revolution in the pharmaceutical industry since animal models could be partially replaced by biofabricated tissues mimicking human physiology and pathology. This would not only be a major advancement concerning rising ethical issues but would also have a measureable impact on economical aspects in this industry of today, where animal studies are very labor-intensive and therefore costly. In this review, current controlled material and cell positioning techniques are introduced highlighting approaches towards 3D tissue printing. PMID:24956301

Controlled Positioning of Cells in Biomaterials-Approaches Towards 3D Tissue Printing.

PubMed

Wüst, Silke; Müller, Ralph; Hofmann, Sandra

2011-08-04

Current tissue engineering techniques have various drawbacks: they often incorporate uncontrolled and imprecise scaffold geometries, whereas the current conventional cell seeding techniques result mostly in random cell placement rather than uniform cell distribution. For the successful reconstruction of deficient tissue, new material engineering approaches have to be considered to overcome current limitations. An emerging method to produce complex biological products including cells or extracellular matrices in a controlled manner is a process called bioprinting or biofabrication, which effectively uses principles of rapid prototyping combined with cell-loaded biomaterials, typically hydrogels. 3D tissue printing is an approach to manufacture functional tissue layer-by-layer that could be transplanted in vivo after production. This method is especially advantageous for stem cells since a controlled environment can be created to influence cell growth and differentiation. Using printed tissue for biotechnological and pharmacological needs like in vitro drug-testing may lead to a revolution in the pharmaceutical industry since animal models could be partially replaced by biofabricated tissues mimicking human physiology and pathology. This would not only be a major advancement concerning rising ethical issues but would also have a measureable impact on economical aspects in this industry of today, where animal studies are very labor-intensive and therefore costly. In this review, current controlled material and cell positioning techniques are introduced highlighting approaches towards 3D tissue printing.

Photonics industry in China: from current status and trends to the importance of innovation

NASA Astrophysics Data System (ADS)

Fan, Chongcheng

2011-12-01

Current status and trends in various sectors of photonics industry in Mainland China are reviewed, which includes optical fiber communication, optical preform, fiber and cable, photonic devices and chips, LED illumination and display, and photovoltaics. Then, from the challenges and risks they are facing, critical importance of innovation is discussed. In the evolving Innovation Economy, the core competence of a company, an industry or a country is its innovation power and the capability to grab (and manage) talented people.

Advances toward industrialization of novel molten salt electrochemical processes.

PubMed

Ito, Yasuhiko; Nishikiori, Tokujiro; Tsujimura, Hiroyuki

2016-08-15

We have invented various novel molten salt electrochemical processes, that can be put to practical use in the fields of energy and materials. These processes are promising from both technological and commercial viewpoints, and they are currently under development for industrial application. To showcase current developments in work toward industrialization, we focus here on three of these processes: (1) electrolytic synthesis of ammonia from water and nitrogen under atmospheric pressure, (2) electrochemical formation of carbon film, and (3) plasma-induced discharge electrolysis to produce nanoparticles.

Toward preclinical predictive drug testing for metabolism and hepatotoxicity by using in vitro models derived from human embryonic stem cells and human cell lines - a report on the Vitrocellomics EU-project.

PubMed

Mandenius, Carl-Fredrik; Andersson, Tommy B; Alves, Paula M; Batzl-Hartmann, Christine; Björquist, Petter; Carrondo, Manuel J T; Chesne, Christophe; Coecke, Sandra; Edsbagge, Josefina; Fredriksson, J Magnus; Gerlach, Jörg C; Heinzle, Elmar; Ingelman-Sundberg, Magnus; Johansson, Inger; Küppers-Munther, Barbara; Müller-Vieira, Ursula; Noor, Fozia; Zeilinger, Katrin

2011-05-01

Drug-induced liver injury is a common reason for drug attrition in late clinical phases, and even for post-launch withdrawals. As a consequence, there is a broad consensus in the pharmaceutical industry, and within regulatory authorities, that a significant improvement of the current in vitro test methodologies for accurate assessment and prediction of such adverse effects is needed. For this purpose, appropriate in vivo-like hepatic in vitro models are necessary, in addition to novel sources of human hepatocytes. In this report, we describe recent and ongoing research toward the use of human embryonic stem cell (hESC)-derived hepatic cells, in conjunction with new and improved test methods, for evaluating drug metabolism and hepatotoxicity. Recent progress on the directed differentiation of human embryonic stem cells to the functional hepatic phenotype is reported, as well as the development and adaptation of bioreactors and toxicity assay technologies for the testing of hepatic cells. The aim of achieving a testing platform for metabolism and hepatotoxicity assessment, based on hESC-derived hepatic cells, has advanced markedly in the last 2-3 years. However, great challenges still remain, before such new test systems could be routinely used by the industry. In particular, we give an overview of results from the Vitrocellomics project (EU Framework 6) and discuss these in relation to the current state-of-the-art and the remaining difficulties, with suggestions on how to proceed before such in vitro systems can be implemented in industrial discovery and development settings and in regulatory acceptance. 2011 FRAME.

Fundamental CRISPR-Cas9 tools and current applications in microbial systems.

PubMed

Tian, Pingfang; Wang, Jia; Shen, Xiaolin; Rey, Justin Forrest; Yuan, Qipeng; Yan, Yajun

2017-09-01

Derived from the bacterial adaptive immune system, CRISPR technology has revolutionized conventional genetic engineering methods and unprecedentedly facilitated strain engineering. In this review, we outline the fundamental CRISPR tools that have been employed for strain optimization. These tools include CRISPR editing, CRISPR interference, CRISPR activation and protein imaging. To further characterize the CRISPR technology, we present current applications of these tools in microbial systems, including model- and non-model industrial microorganisms. Specially, we point out the major challenges of the CRISPR tools when utilized for multiplex genome editing and sophisticated expression regulation. To address these challenges, we came up with strategies that place emphasis on the amelioration of DNA repair efficiency through CRISPR-Cas9-assisted recombineering. Lastly, multiple promising research directions were proposed, mainly focusing on CRISPR-based construction of microbial ecosystems toward high production of desired chemicals.

Role of regression analysis and variation of rheological data in calculation of pressure drop for sludge pipelines.

PubMed

Farno, E; Coventry, K; Slatter, P; Eshtiaghi, N

2018-06-15

Sludge pumps in wastewater treatment plants are often oversized due to uncertainty in calculation of pressure drop. This issue costs millions of dollars for industry to purchase and operate the oversized pumps. Besides costs, higher electricity consumption is associated with extra CO 2 emission which creates huge environmental impacts. Calculation of pressure drop via current pipe flow theory requires model estimation of flow curve data which depends on regression analysis and also varies with natural variation of rheological data. This study investigates impact of variation of rheological data and regression analysis on variation of pressure drop calculated via current pipe flow theories. Results compare the variation of calculated pressure drop between different models and regression methods and suggest on the suitability of each method. Copyright © 2018 Elsevier Ltd. All rights reserved.

The Changing Nature and Definitions of Industrial Design and Implications for Prospective Undergraduate Students

ERIC Educational Resources Information Center

Goatman, Mike; Moody, Louise

2014-01-01

There are currently a wide range of Higher Education Industrial Design courses available in the UK. In the present era, a wider breadth of narrative has developed within the subject, and as a result the content of industrial design educational offerings varies considerably. The paper assesses the industry view of Industrial Design as a discipline…

Design of a Communication Scheme in a Modern Factory in Accordance with the Standard of Industry 4.0

NASA Astrophysics Data System (ADS)

Halenár, Igor; Juhásová, Bohuslava; Juhás, Martin

2016-12-01

This article first describes the current state of the problem in the area of communication in modern factories. Next in the article is given a summary of the requirements that must be implemented for the possibility of establishing a compatible and safe communication system. In the final part of the article is given a proposal of communication model suitable for the implementation.

Health care informatics.

PubMed

Siau, Keng

2003-03-01

The health care industry is currently experiencing a fundamental change. Health care organizations are reorganizing their processes to reduce costs, be more competitive, and provide better and more personalized customer care. This new business strategy requires health care organizations to implement new technologies, such as Internet applications, enterprise systems, and mobile technologies in order to achieve their desired business changes. This article offers a conceptual model for implementing new information systems, integrating internal data, and linking suppliers and patients.

2014 & 2015 Loop Current Observations from a Gulf of Mexico Public-Private Ocean Observing Collaboration

NASA Astrophysics Data System (ADS)

Leung, P.; Perry, R.; Sharma, N.; Zwissler, C.; McCall, W.; Bouchard, R. H.; Martin, K. M.

2016-02-01

In 2008, Shell Exploration & Production Company and NOAA formed a collaboration to explore joint opportunities for monitoring the Gulf of Mexico outer continental shelf (OCS). Since then, industry, academic, private, and government partners have been working to build an adaptive ocean observing program that leverages and integrates the complementary strengths of each partner. The program includes vessel and rig-mounted ADCPs, buoys, remote sensing, and profiling gliders with advanced numerical modeling. In this presentation, we focus on 2014 and 2015 program observations of the Gulf physical environment. The 2014 season was characterized by strong Loop Current (LC) circulation with persistent currents (3.5+ knots) extending as far north as 29oN. A number of eddies impacted the Mississippi Canyon region from May to November with one (Eddy Lazarus) undergoing several separation and reattachment cycles. During Lazarus reattachment, the fresh inflow resulted in rapid northward surge of strong currents at and onto the Louisiana continental shelf resulting in advection of Mississippi River waters into the outer OCS. Advection led to higher than average offshore surface and near-surface production atypical for the OCS. The combination of fast, persistent LC speeds and dynamic eddies impacted operations throughout the eastern, central, and western Gulf regions. The 2015 season is active. The size and intensity of eddies (4 at time of publication) are impacting industry and glider operations and forecasting of the LC. Eddies Nautilus and Olympus (250nm wide, 4 knot currents) remain in the central Gulf impacting activities from the Mississippi Canyon to Walker Ridge. Integrating real-time observations with numerical modeling provides the collaboration an opportunity to observe unique features in real-time. Furthermore, data sharing from this program is providing valuable, near real-time data for the community to better understand annual variability of the LC and eddies.

Kickstarting a New Era of Lunar Industrialization via Campaign of Lunar COTS Missions

NASA Technical Reports Server (NTRS)

Zuniga, Allison F.; Turner, Mark; Rasky, Daniel; Pittman, Robert B.; Zapata, Edgar

2016-01-01

To support the goals of expanding our human presence and current economic sphere beyond LEO, a new plan was constructed for NASA to enter into partnerships with industry to foster and incentivize a new era of lunar industrialization. For NASA to finally be successful in achieving sustainable human exploration missions beyond LEO, lessons learned from our space history have shown that it is essential for current program planning to include affordable and economic development goals as well as address top national priorities to obtain much needed public support. In the last 58 years of NASA's existence, only Apollo's human exploration missions beyond LEO were successful since it was proclaimed to be a top national priority during the 1960's. However, the missions were not sustainable and ended abruptly in 1972 due to lack of funding and insufficient economic gain. Ever since Apollo, there have not been any human missions beyond LEO because none of the proposed program plans were economical or proclaimed a top national priority. The proposed plan outlines a new campaign of low-cost, commercial-enabled lunar COTS (Commercial Orbital Transfer Services) missions which is an update to the Lunar COTS plan previously described. The objectives of this new campaign of missions are to prospect for resources, determine the economic viability of extracting those resources and assess the value proposition of using these resources in future exploration architectures such as Mars. These missions would be accomplished in partnership with commercial industry using the wellproven COTS Program acquisition model. This model proved to be very beneficial to both NASA and its industry partners as NASA saved significantly in development and operational costs, as much as tenfold, while industry partners successfully expanded their market share and demonstrated substantial economic gain. Similar to COTS, the goals for this new initiative are 1) to develop and demonstrate cost-effective, cis-lunar commercial services, such as lunar transportation, lunar mining and lunar ISRU operations; 2) enable development of an affordable and economical exploration architecture for future missions to Mars and beyond; and 3) to incentivize the creation of new lunar markets through use of lunar resources for economic benefit to NASA, commercial industry and the international community. These cost-effective services would not only enable NASA to economically and sustainably achieve its human exploration missions to the Moon, Mars and beyond but it would also kickstart a new era of lunar industrialization. This paper will describe the goals, objectives and approach for implementing this new campaign of missions. It will also describe the potential benefits and progress that can be accomplished with these low-cost, Lunar COTS missions. Lastly, a preliminary economic analysis approach is proposed for understanding the cost and potential return on investment in the use of lunar resources to reach the goal of lunar industrialization and an expanded and sustainable human presence into cis-lunar space and beyond.

Contamination of New Jersey beach sand with magnetite spherules from industrial air pollution

DOE Office of Scientific and Technical Information (OSTI.GOV)

Hassinan, W.T.; Puffer, J.H.

1992-01-01

Spherical particles composed of magnetite, typically 120 [mu]m to 2,450 [mu]m in diameter, are accumulating in the beach sands of New Jersey. Most magnetite spherule surfaces are highly polished but some are corroded or abraded. Their interiors are typically vesicular. Magnetite spherules from 213 New Jersey beach sand samples collected during May 1991 are chemically and morphologically the same as those filtered from industrial smokestacks and the air supplied of Newark, New Jersey and Philadelphia. The average concentration of spherules in New Jersey beach sand is 35 per kg throughout the northern 43 km of beach south of Newark (frommore » Sandy Hook to Belmar Beach). They are rare to absent in the central 86 km stretch of beach but average 34 per kg of sand throughout the southern 91 km of beach east of Philadelphia (from Ventnor City to Villas Beach). The distribution of magnetite spherules in New Jersey beach sand is consistent with a transport pathway model that involves: (1) Prevailing wind dispersal from industrial sources, (2) erosion of spherules that have settled out of the air into the surface drainage system that flows toward the New Jersey coast and (3) longshore transport of spherule contaminated sand away from inlets identified as locations where most of the spherules enter the beach system. The spherules, therefore, are useful tracers indicating how industrial airborne fallout is transported to and along shorelines. The distribution pattern is consistent with generally northward longshore currents north of the Manasquan inlet and generally southward longshore currents south of the Abescon inlet.« less

Current Debates in the Study of the Industrial Revolution.

ERIC Educational Resources Information Center

Beaudoin, Steven M.

2000-01-01

Provides an overview of the literature on the debates surrounding the industrial revolution using four categories: (1) definition and characteristics; (2) context and causation; (3) impacts and scope; and (4) industrialization as a worldwide phenomenon. (CMK)

A regional approach to health care reform: the Texas border.

PubMed

Rivera, Jose Luis Manzanares; Zuniga, Genny Carrillo

2015-01-01

The purpose of this article is to analyze health insurance disparities related to labor environment factors in the Texas-Mexico border region. A logistic regression model was performed using microdata from the 2010 American Community Survey to estimate the probability of having employer-based insurance, controlling labor environment factors such as hours worked, occupation industry, and the choice of private, nonprofit or public sector jobs. Industries primarily employing the Mexican American population are less likely to offer employer-based health insurance. These industries have the North American Industry Classification System (NAICS) code 770 construction, including cleaning, and NAICS code 8680, restaurants and other food services. Although it was found that working in public sector industries such as code 9470, administration of justice, public order, and safety, or NAICS code 7860, elementary and secondary schools, improved by 60% the probability of the Mexican American population having employer-based health insurance, these occupations ranked at the bottom of the main occupation list for Mexican Americans. These findings provide evidence that the labor environment plays an important role in understanding current health insurance access limitations within the Mexican American community under 2010 Patient Protection and Affordable Care Act provisions, which are directed to small business and lower-income individuals.

Anticipatory control: A software retrofit for current plant controllers

DOE Office of Scientific and Technical Information (OSTI.GOV)

Parthasarathy, S.; Parlos, A.G.; Atiya, A.F.

1993-01-01

The design and simulated testing of an artificial neural network (ANN)-based self-adapting controller for complex process systems are presented in this paper. The proposed controller employs concepts based on anticipatory systems, which have been widely used in the petroleum and chemical industries, and they are slowly finding their way into the power industry. In particular, model predictive control (MPC) is used for the systematic adaptation of the controller parameters to achieve desirable plant performance over the entire operating envelope. The versatile anticipatory control algorithm developed in this study is projected to enhance plant performance and lend robustness to drifts inmore » plant parameters and to modeling uncertainties. This novel technique of integrating recurrent ANNs with a conventional controller structure appears capable of controlling complex, nonlinear, and nonminimum phase process systems. The direct, on-line adaptive control algorithm presented in this paper considers the plant response over a finite time horizon, diminishing the need for manual control or process interruption for controller gain tuning.« less

Evaluating Habitat Suitability for the Establishment of Monochamus spp. through Climate-Based Niche Modeling

PubMed Central

Estay, Sergio A.; Labra, Fabio A.; Sepulveda, Roger D.; Bacigalupe, Leonardo D.

2014-01-01

Pine sawyer beetle species of the genus Monochamus are vectors of the nematode pest Bursaphelenchus xylophilus. The introduction of these species into new habitats is a constant threat for those regions where the forestry industry depends on conifers, and especially on species of Pinus. To obtain information about the potential risk of establishment of these insects in Chile, we performed climate-based niche modeling using data for five North American and four Eurasian Monochamus species using a Maxent approach. The most important variables that account for current distribution of these species are total annual precipitation and annual and seasonal average temperatures, with some differences between North American and Eurasian species. Projections of potential geographic distribution in Chile show that all species could occupy at least 37% of the area between 30° and 53°S, where industrial plantations of P. radiata are concentrated. Our results indicated that Chile seems more suitable for Eurasian than for North American species. PMID:25019408

Design of pharmaceutical products to meet future patient needs requires modification of current development paradigms and business models.

PubMed

Stegemann, S; Baeyens, J-P; Becker, R; Maio, M; Bresciani, M; Shreeves, T; Ecker, F; Gogol, M

2014-06-01

Drugs represent the most common intervention strategy for managing acute and chronic medical conditions. In light of demographic change and the increasing age of patients, the classic model of drug research and development by the pharmaceutical industry and drug prescription by physicians is reaching its limits. Different stakeholders, e.g. industry, regulatory authorities, health insurance systems, physicians etc., have at least partially differing interests regarding the process of healthcare provision. The primary responsibility for the correct handling of medication and adherence to treatment schedules lies with the recipient of a drug-based therapy, i.e. the patient. It is thus necessary to interactively involve elderly patients, as well as the other stakeholders, in the development of medication and medication application devices, and in clinical trials. This approach will provide the basis for developing a strategy that better meets patients' needs, thus resulting in improved adherence to treatment schedules and better therapeutic outcomes.

Numerical investigation of solid mixing in a fluidized bed coating process

NASA Astrophysics Data System (ADS)

Kenche, Venkatakrishna; Feng, Yuqing; Ying, Danyang; Solnordal, Chris; Lim, Seng; Witt, Peter J.

2013-06-01

Fluidized beds are widely used in many process industries including the food and pharmaceutical sectors. Despite being an intensive research area, there are no design rules or correlations that can be used to quantitatively predict the solid mixing in a specific system for a given set of operating conditions. This paper presents a numerical study of the gas and solid dynamics in a laboratory scale fluidized bed coating process used for food and pharmaceutical industries. An Eulerian-Eulerian model (EEM) with kinetic theory of granular flow is selected as the modeling technique, with the commercial computational fluid dynamics (CFD) software package ANSYS/Fluent being the numerical platform. The flow structure is investigated in terms of the spatial distribution of gas and solid flow. The solid mixing has been evaluated under different operating conditions. It was found that the solid mixing rate in the horizontal direction is similar to that in the vertical direction under the current design and operating conditions. It takes about 5 s to achieve good mixing.

Studies in Software Cost Model Behavior: Do We Really Understand Cost Model Performance?

NASA Technical Reports Server (NTRS)

Lum, Karen; Hihn, Jairus; Menzies, Tim

2006-01-01

While there exists extensive literature on software cost estimation techniques, industry practice continues to rely upon standard regression-based algorithms. These software effort models are typically calibrated or tuned to local conditions using local data. This paper cautions that current approaches to model calibration often produce sub-optimal models because of the large variance problem inherent in cost data and by including far more effort multipliers than the data supports. Building optimal models requires that a wider range of models be considered while correctly calibrating these models requires rejection rules that prune variables and records and use multiple criteria for evaluating model performance. The main contribution of this paper is to document a standard method that integrates formal model identification, estimation, and validation. It also documents what we call the large variance problem that is a leading cause of cost model brittleness or instability.

Biomimetic materials in the utility industry: A program plan for research opportunities, volume 2. Final report

DOE Office of Scientific and Technical Information (OSTI.GOV)

Richman, R.H.; McNaughton, W.P.

1996-09-01

This report is the second of a two-volume set addressing the state-of-the-art and outlook for the application of biomimetic materials. The first volume examined achievements in mimicking novel aspects of biological systems in five broad categories: (1) Mimicking of Natural Material Designs, (2) Biomimetic Materials Processing, (3) Artificial Photosynthesis, (4) Biomimetic Molecular Electronics, and (5) Biomimetic Catalysis. Each topic was examined as to current activities and approaches, key aspects, unresolved issues, and implications for the power industry. Key researchers, their organizations, the main thrusts of investigation, achievements, and funding agencies were also summarized. This volume highlights opportunities for future researchmore » activities in biomimetics that could be valuable to the U.S. utility industry. Nineteen specific research projects have been identified. These opportunities are outlined in four classes: (1) technology awareness, (2) modeling and experimental studies, (3) state-of-the-art and outlook studies: developing experimental plans, and (4) concept feasibility studies.« less

Groundwater protection of minimal water supply systems integrating simple hydrogeological information

NASA Astrophysics Data System (ADS)

Rodrigo-Ilarri, Javier; Rodrigo-Clavero, María Elena

2016-04-01

According to the current EU environmental legislation, groundwater protection is one of the key issues to be addressed when new industrial activities have to be authorised. This work shows a simple methodology that could be used by local and environmental authorities in order to analyse the potential risk caused by an industrial spill on a natural environment. The methodology leads to the determination of the protection area around an extraction well system using the information given by: i) a set of local piezometers, ii) the chemical nature of the industrial spill and iii) the hydrogeological parameters of the local aquifer. The exact location of the contaminant source is not needed for the analysis. The flow equation is afterwards solved using a finite-difference approximation scheme under stationary conditions. Finally, the capture zones for different times are computed by a simple upstream advective transport model. Results on the determination of the perimeter protection area definition of a water supply system in the municipality of L'Alcora (Castellón) in Spain are shown.

Travel and Tourism Industry: Program Options for City College of San Francisco.

ERIC Educational Resources Information Center

City Coll. of San Francisco, CA.

In an effort to determine the current occupational outlook and resulting implications for education and training, the City College of San Francisco (CCSF), in California, undertook a study of current trends in the travel and tourism industry. This report provides findings from the project, which involved consultation with local and national…

The evolution of and challenges for industrial radiation processing—2012

NASA Astrophysics Data System (ADS)

Berejka, A. J.; Cleland, M. R.; Walo, M.

2014-01-01

The evolution of industrial radiation processing is traced from Roentgen's discovery of X-radiation in 1895 by following the development of high current, electron beam accelerators (EB) throughout the twentieth century. Although Becquerel soon followed Roentgen with his discovery of what became to be known as radioactivity, electrical sources for ionizing radiation dominate industrial processing with there being more than ten times as many industrial installations using high current EB equipment than the facilities relying upon large concentrations of radioactive isotopes. In the 1950s, the discovery that ionizing radiation would enhance the value of what has become the world's largest volume commodity plastic, polyethylene (PE), opened the way for full scale commercial use of high current EB equipment. While the crosslinking of the PE insulation on wire became one of the first major industrial applications, other uses of EB processing soon followed. In the 1970s, low-energy, self-shielded EB equipment made the surface curing of inks, coatings and adhesives more industrially viable. In the early part of the twenty-first century, new market applications involving the low-energy EB surface decontamination of packaging materials emerged. This new area poses challenges for the metrology needed to control industrial processes, in that there is limited EB penetration into what have been used as dosimeters by industry. Major industrial use of radiation process is now over 50 years old. Because of the diversity of end-uses and the fact that the use of ionizing radiation in industry is a process technique, it is hard to quantify the value-added to numerous commercial products that benefit from this energy efficient process. It may be in excess of a trillion Euros in value-added to articles of commerce. In this milieu, there are some broad-based opportunities for research which are noted.

Restructuring the energy industry: A financial perspective

DOE Office of Scientific and Technical Information (OSTI.GOV)

Abrams, W.A.

1995-12-31

This paper present eight tables summarizing financial aspects of energy industry restructuring. Historical, current, and future business characteristics of energy industries are outlined. Projections of industry characteristics are listed for the next five years and for the 21st century. Future independent power procedures related to financial aspects are also outlined. 8 tabs.

Industrial Maintenance Technology. Technical Committee Report.

ERIC Educational Resources Information Center

Idaho State Dept. of Education, Boise. Div. of Vocational Education.

This Technical Committee Report prepared by industry representatives in Idaho lists the skills currently necessary for an employee in that state to obtain a job in industrial maintenance technology, retain a job once hired, and advance in that occupational field. (Task lists are grouped according to duty areas generally used in industry settings,…

Prediction of Industrial Electric Energy Consumption in Anhui Province Based on GA-BP Neural Network

NASA Astrophysics Data System (ADS)

Zhang, Jiajing; Yin, Guodong; Ni, Youcong; Chen, Jinlan

2018-01-01

In order to improve the prediction accuracy of industrial electrical energy consumption, a prediction model of industrial electrical energy consumption was proposed based on genetic algorithm and neural network. The model use genetic algorithm to optimize the weights and thresholds of BP neural network, and the model is used to predict the energy consumption of industrial power in Anhui Province, to improve the prediction accuracy of industrial electric energy consumption in Anhui province. By comparing experiment of GA-BP prediction model and BP neural network model, the GA-BP model is more accurate with smaller number of neurons in the hidden layer.

The changing face of long-term care: looking at the past decade.

PubMed

Ragsdale, Vickie; McDougall, Graham J

2008-09-01

Baby boomers on the verge of retirement who are considering future long-term care needs are searching for options that will promote comfort and quality of life in an environment comparable to the home left behind. Culture change is taking on different faces throughout long-term care, moving from a traditional medical model towards a holistic approach. New models of care address individual needs of the aging population. This article has three aims: (1) to evaluate the current state of culture change throughout long-term care, (2) to describe models of change seen among the long-term care industry, and (3) to report on existing work comparing the Green House Model of Care to two traditional nursing homes in Tupelo, Mississippi.

Standardisation of digital human models.

PubMed

Paul, Gunther; Wischniewski, Sascha

2012-01-01

Digital human models (DHM) have evolved as useful tools for ergonomic workplace design and product development, and found in various industries and education. DHM systems which dominate the market were developed for specific purposes and differ significantly, which is not only reflected in non-compatible results of DHM simulations, but also provoking misunderstanding of how DHM simulations relate to real world problems. While DHM developers are restricted by uncertainty about the user need and lack of model data related standards, users are confined to one specific product and cannot exchange results, or upgrade to another DHM system, as their previous results would be rendered worthless. Furthermore, origin and validity of anthropometric and biomechanical data is not transparent to the user. The lack of standardisation in DHM systems has become a major roadblock in further system development, affecting all stakeholders in the DHM industry. Evidently, a framework for standardising digital human models is necessary to overcome current obstructions. Practitioner Summary: This short communication addresses a standardisation issue for digital human models, which has been addressed at the International Ergonomics Association Technical Committee for Human Simulation and Virtual Environments. It is the outcome of a workshop at the DHM 2011 symposium in Lyon, which concluded steps towards DHM standardisation that need to be taken.

Macro-economic factors influencing the architectural business model shift in the pharmaceutical industry.

PubMed

Dierks, Raphaela Marie Louisa; Bruyère, Olivier; Reginster, Jean-Yves; Richy, Florent-Frederic

2016-10-01

Technological innovations, new regulations, increasing costs of drug productions and new demands are only few key drivers of a projected alternation in the pharmaceutical industry. The purpose of this review is to understand the macro economic factors responsible for the business model revolution to possess a competitive advantage over market players. Areas covered: Existing literature on macro-economic factors changing the pharmaceutical landscape has been reviewed to present a clear image of the current market environment. Expert commentary: Literature shows that pharmaceutical companies are facing an architectural alteration, however the evidence on the rationale driving the transformation is outstanding. Merger & Acquisitions (M&A) deals and collaborations are headlining the papers. Q1 2016 did show a major slowdown in M&A deals by volume since 2013 (with deal cancellations of Pfizer and Allergan, or the downfall of Valeant), but pharmaceutical analysts remain confident that this shortfall was a consequence of the equity market volatility. It seems likely that the shift to an M&A model will become apparent during the remainder of 2016, with deal announcements of Abbott Laboratories, AbbVie and Sanofi worth USD 45billion showing the appetite of big pharma companies to shift from the fully vertical integrated business model to more horizontal business models.

Bioenergy Potential Based on Vinasse From Ethanol Industrial Waste to Green Energy Sustainability

NASA Astrophysics Data System (ADS)

Harihastuti, Nani; Marlena, Bekti

2018-02-01

The waste water from alcohol industry is called vinasse has a high organic content, with BOD5 = 109.038 mg / l, COD = 353.797 mg / l and TSS = 7200 mg / l, pH 4-5 with a temperature of around 40-50ºC. The current treatment of alcohol waste water, most still using facultative anaerobic technology with open ponds that are only covered with HDPE plastics. This technology produces less optimal biogas and has a weakness that is the hydraulic residence time (HRT) for long (40-50 days), wide land needs, low COD reduction efficiency as well as high risk of fire and leakage of biogas release high to trigger the occurrence of greenhouse gas and global warming effects. Development of technology with innovation reactor integration model Fixed Dome-Hybrid Anaerobic Filter aims to expand the contact area between the substrate and microbial with modification of the substrate flow system and the area of the filter and integrate with the gas accumulator. The design of this Fixed Dome-Hybrid Anaerobic filter integration model technology, has the advantage of producing optimal bioenergy with CH4 more than 50% content with decrease of COD more than 85% and hydraulic residence time of about 10 (ten) days, bioenergy result is renewable energy made from raw material vinasse from alcohol industrial waste which can be utilized for fuel substitution on the distillation process or boiler process of the industry in a sustainable and cleaner environment.

Value-added benefits of technology: e-procurement and e-commerce related to the health care industry.

PubMed

Smith, Alan D; Correa, Joseph

2005-01-01

To provide insights into the current supply chain for original equipment manufacturers (OEM) in the radiology diagnostic imaging equipment business. As is common in many manufacturing and service firms, the rationale of bridging suppliers of OEMs is the ability to leverage technology, software, and accessories pertaining to the various pieces of equipment. Several models of e-procurement and e-commerce related to the health care industry are presented. Although the radiology capital equipment market presents numerous idiosyncrasies that must be addressed to successfully implement an e-business strategy effectively, incredible opportunities exist all along the supply chain for e-business strategies to both eliminate costs and acquire strategic initiatives. Those firms that most successfully listen to their customers and address the barriers to efficiency (B2E) will help move the industry toward more effective utilization of the benefits e-business can create and also obtain first mover advantages. Although the efficiencies that e-business provides are extremely important in the radiology capital equipment market, the main value of e-business in this industry of high-priced and relatively infrequently purchased equipment may well be the value-added benefits the technology brings to its customers, as illustrated in the modeling process. The OEMs that eventually market their finished product directly to hospital and imaging centers via a direct sales force can best take advantage of the connectivity and accessibility of e-commerce.

Saving lives: A meta-analysis of team training in healthcare.

PubMed

Hughes, Ashley M; Gregory, Megan E; Joseph, Dana L; Sonesh, Shirley C; Marlow, Shannon L; Lacerenza, Christina N; Benishek, Lauren E; King, Heidi B; Salas, Eduardo

2016-09-01

As the nature of work becomes more complex, teams have become necessary to ensure effective functioning within organizations. The healthcare industry is no exception. As such, the prevalence of training interventions designed to optimize teamwork in this industry has increased substantially over the last 10 years (Weaver, Dy, & Rosen, 2014). Using Kirkpatrick's (1956, 1996) training evaluation framework, we conducted a meta-analytic examination of healthcare team training to quantify its effectiveness and understand the conditions under which it is most successful. Results demonstrate that healthcare team training improves each of Kirkpatrick's criteria (reactions, learning, transfer, results; d = .37 to .89). Second, findings indicate that healthcare team training is largely robust to trainee composition, training strategy, and characteristics of the work environment, with the only exception being the reduced effectiveness of team training programs that involve feedback. As a tertiary goal, we proposed and found empirical support for a sequential model of healthcare team training where team training affects results via learning, which leads to transfer, which increases results. We find support for this sequential model in the healthcare industry (i.e., the current meta-analysis) and in training across all industries (i.e., using meta-analytic estimates from Arthur, Bennett, Edens, & Bell, 2003), suggesting the sequential benefits of training are not unique to medical teams. Ultimately, this meta-analysis supports the expanded use of team training and points toward recommendations for optimizing its effectiveness within healthcare settings. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Ternary liquid-liquid equilibria for the phenolic compounds extraction from artificial textile industrial waste

NASA Astrophysics Data System (ADS)

Fardhyanti, Dewi Selvia; Prasetiawan, Haniif; Hermawan, Sari, Lelita Sakina

2017-03-01

Liquid waste in textile industry contains large amounts of dyes and chemicals which are capable of harming the environment and human health. It is due to liquid waste characteristics which have high BOD, COD, temperature, dissolved and suspended solid. One of chemical compound which might be harmful for environment when disposed in high concentration is phenol. Currently, Phenol compound in textile industrial waste has reached 10 ppm meanwhile maximum allowable phenol concentration is not more than 0.2 ppm. Otherwise, Phenol also has economic value as feedstock of plastic, pharmaceutical and cosmetic industry. Furthermore, suitable method to separate phenol from waste water is needed. In this research, liquid - liquid extraction method was used with extraction time for 70 minutes. Waste water sample was then separated into two layers which are extract and raffinate. Thereafter, extract and raffinate were then tested by using UV-Vis Spectrophotometer to obtained liquid - liquid equilibrium data. Aim of this research is to study the effect of temperature, stirring speed and type of solvent to obtain distribution coefficient (Kd), phenol yield and correlation of Three-Suffix Margules model for the liquid - liquid extraction data equilibrium. The highest extraction yield at 80.43 % was found by using 70% methanol as solvent at extraction temperature 50 °C with stirring speed 300 rpm, coefficient distribution was found 216.334. From this research it can be concluded that Three-Suffix Margules Model is suitable to predict liquid - liquid equilibrium data for phenol system.

An assessment of energy efficiency based on environmental constraints and its influencing factors in China.

PubMed

Chen, Yao; Xu, Jing-Ting

2018-05-03

The super-efficiency directional distance function (DDF) with data envelopment analysis (DEA) model (SEDDF-DEA) is more facilitative than to increase traditional method as a rise of energy efficiency in China, which is currently important energy development from Asia-pacific region countries. SEDDF-DEA is promoted as sustained total-factor energy efficiency (TFEE), value added outputs, and Malmquist-Luenberger productivity index (MLPI) to otherwise thorny environmental energy productivity problems with environmental constraint to concrete the means of regression model. This paper assesses the energy efficiency under environmental constraints using panel data covering the years of 2000-2015 in China. Considering the environmental constraints, the results showed that the average TFEE of the whole country followed an upward trend after 2006. The average MLPI score for the whole country increased by 10.57% during 2005-2010, which was mainly due to the progress made in developing and applying environmental technologies. The TFEE of the whole nation was promoted by the accumulation of capital stock, while it was suppressed by excessive production in secondary industries and foreign investment. The primary challenge for the northeast of China is to strengthen industrial transformation and upgrade traditional industries, as well as adjusting the economy and energy structure. The eastern and central regions of the country need to exploit clean- or low-energy industry to improve inefficiencies due to excessive consumption. The western region of China needs to implement renewable energy strategies to promote regional development.

Global trends in milk quality: implications for the Irish dairy industry

PubMed Central

2009-01-01

The quality of Irish agricultural product will become increasingly important with the ongoing liberalisation of international trade. This paper presents a review of the global and Irish dairy industries; considers the impact of milk quality on farm profitability, food processing and human health, examines global trends in quality; and explores several models that are successfully being used to tackle milk quality concerns. There is a growing global demand for dairy products, fuelled in part by growing consumer wealth in developing countries. Global dairy trade represents only 6.2% of global production and demand currently outstrips supply. Although the Irish dairy industry is small by global standards, approximately 85% of annual production is exported annually. It is also the world's largest producer of powdered infant formula. Milk quality has an impact on human health, milk processing and on-farm profitability. Somatic cell count (SCC) is a key measure of milk quality, with a SCC not exceeding 400,000 cells/ml (the EU milk quality standard) generally accepted as the international export standard. There have been ongoing improvements in milk quality among both established and emerging international suppliers. A number of countries have developed successful industry-led models to tackle milk quality concerns. Based on international experiences, it is likely that problems with effective translation of knowledge to practice, rather than incomplete knowledge per se, are the more important constraints to national progress towards improved milk quality. PMID:22081986

Measurement of attitudes toward commercial development of geothermal energy in Federal Region IX. Final report

DOE Office of Scientific and Technical Information (OSTI.GOV)

Not Available

1981-06-01

A survey was conducted of ten target study groups and subgroups for Klamath Falls, Oregon, and Susanville, California: local government, current and potential industry at the site, relocators to the site, current and potential financial community, regulators, and current and potential promoters and developers. The results of benchmark attitudinal measurement is presented separately for each target group. A literature review was conducted and Macro-environmental attitudes of a sample of local government and industry personnel at the sites were assessed. An assessment of capabilities was made which involved two measurements. The first was a measurement of a sample of promoters, developers,more » and industrial service companies active at the site to determine infrastructure capabilities required by industry for geothermal plants. The second measurement involved analyzing a sample of industry management in the area and defining their requirements for plant retrofit and expansion. Finally, the processes used by the study group to analyze information to reach commitment and regulatory decisions that significantly impact on geothermal energy projects at the site were identified and defined.« less

Industry-Related Day Care: Trends and Options.

ERIC Educational Resources Information Center

Verzaro-Lawrence, Marce; And Others

1982-01-01

Examines current needs and trends of child care options in the United States, and discusses industrial responses to providing day care services. The advantages and disadvantages of industry-related day care and options available are also discussed. (Author/DB)

Outlook at the Future of the Airline Avionics Industry

DOT National Transportation Integrated Search

1998-01-01

The aviation industry is slowly but surely changing its character. As airlines restructure, what they ask of, and how they relate to their suppliers (including avionics manufacturers) will greatly change as well. The avionics industry is currently fa...

A mechanistic modelling approach to understand 1-MCP inhibition of ethylene action and quality changes during ripening of apples.

PubMed

Gwanpua, Sunny George; Verlinden, Bert E; Hertog, Maarten Latm; Nicolai, Bart M; Geeraerd, Annemie H

2017-08-01

1-Methylcyclopropene (1-MCP) inhibits ripening in climacteric fruit by blocking ethylene receptors, preventing ethylene from binding and eliciting its action. The objective of the current study was to use mathematical models to describe 1-MCP inhibition of apple fruit ripening, and to provide a tool for predicting ethylene production, and two important quality indicators of apple fruit, firmness and background colour. A model consisting of coupled differential equations describing 1-MCP inhibition of apple ripening was developed. Data on ethylene production, expression of ethylene receptors, firmness, and background colour during ripening of untreated and 1-MCP treated apples were used to calibrate the model. An overall adjusted R 2 of 95% was obtained. The impact of time from harvest to treatment, and harvest maturity on 1-MCP efficacy was modelled. Different hypotheses on the partial response of 'Jonagold' apple to 1-MCP treatment were tested using the model. The model was validated using an independent dataset. Low 1-MCP blocking efficacy was shown to be the most likely cause of partial response for delayed 1-MCP treatment, and 1-MCP treatment of late-picked apples. Time from harvest to treatment was a more important factor than maturity for 1-MCP efficacy in 'Jonagold' apples. © 2017 Society of Chemical Industry. © 2017 Society of Chemical Industry.

Evaluating disease management program effectiveness: an introduction to time-series analysis.

PubMed

Linden, Ariel; Adams, John L; Roberts, Nancy

2003-01-01

Currently, the most widely used method in the disease management (DM) industry for evaluating program effectiveness is referred to as the "total population approach." This model is a pretest-posttest design, with the most basic limitation being that without a control group, there may be sources of bias and/or competing extraneous confounding factors that offer a plausible rationale explaining the change from baseline. Furthermore, with the current inclination of DM programs to use financial indicators rather than program-specific utilization indicators as the principal measure of program success, additional biases are introduced that may cloud evaluation results. This paper presents a non-technical introduction to time-series analysis (using disease-specific utilization measures) as an alternative, and more appropriate, approach to evaluating DM program effectiveness than the current total population approach.

Nitrogen dynamics in flooded soil systems: an overview on concepts and performance of models

PubMed Central

Nurulhuda, Khairudin; Gaydon, Donald S; Jing, Qi; Zakaria, Mohamad P; Struik, Paul C

2017-01-01

Abstract Extensive modelling studies on nitrogen (N) dynamics in flooded soil systems have been published. Consequently, many N dynamics models are available for users to select from. With the current research trend, inclined towards multidisciplinary research, and with substantial progress in understanding of N dynamics in flooded soil systems, the objective of this paper is to provide an overview of the modelling concepts and performance of 14 models developed to simulate N dynamics in flooded soil systems. This overview provides breadth of knowledge on the models, and, therefore, is valuable as a first step in the selection of an appropriate model for a specific application. © 2017 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry. PMID:28940491

Characterizing ozone pollution in a petrochemical industrial area in Beijing, China: a case study using a chemical reaction model.

PubMed

Wei, Wei; Lv, Zhaofeng; Cheng, Shuiyuan; Wang, Lili; Ji, Dongsheng; Zhou, Ying; Han, Lihui; Wang, Litao

2015-06-01

This study selected a petrochemical industrial complex in Beijing, China, to understand the characteristics of surface ozone (O3) in this industrial area through the on-site measurement campaign during the July-August of 2010 and 2011, and to reveal the response of local O3 to its precursors' emissions through the NCAR-Master Mechanism model (NCAR-MM) simulation. Measurement results showed that the O3 concentration in this industrial area was significantly higher, with the mean daily average of 124.6 μg/m(3) and mean daily maximum of 236.8 μg/m(3), which are, respectively, 90.9 and 50.6 % higher than those in Beijing urban area. Moreover, the diurnal O3 peak generally started up early in 11:00-12:00 and usually remained for 5-6 h, greatly different with the normal diurnal pattern of urban O3. Then, we used NCAR-MM to simulate the average diurnal variation of photochemical O3 in sunny days of August 2010 in both industrial and urban areas. A good agreement in O3 diurnal variation pattern and in O3 relative level was obtained for both areas. For example of O3 daily maximum, the calculated value in the industrial area was about 51 % higher than in the urban area, while measured value in the industrial area was approximately 60 % higher than in the urban area. Finally, the sensitivity analysis of photochemical O3 to its precursors was conducted based on a set of VOCs/NOx emissions cases. Simulation results implied that in the industrial area, the response of O3 to VOCs was negative and to NOx was positive under the current conditions, with the sensitivity coefficients of -0.16~-0.43 and +0.04~+0.06, respectively. By contrast, the urban area was within the VOCs-limitation regime, where ozone enhancement in response to increasing VOCs emissions and to decreasing NOx emission. So, we think that the VOCs emissions control for this petrochemical industrial complex will increase the potential risk of local ozone pollution aggravation, but will be helpful to inhibit the ozone formation in Beijing urban area through reducing the VOCs transport from the industrial area to the urban area.

Simulation of the AC corona phenomenon with experimental validation

NASA Astrophysics Data System (ADS)

Villa, Andrea; Barbieri, Luca; Marco, Gondola; Malgesini, Roberto; Leon-Garzon, Andres R.

2017-11-01

The corona effect, and in particular the Trichel phenomenon, is an important aspect of plasma physics with many technical applications, such as pollution reduction, surface and medical treatments. This phenomenon is also associated with components used in the power industry where it is, in many cases, the source of electro-magnetic disturbance, noise and production of undesired chemically active species. Despite the power industry to date using mainly alternating current (AC) transmission, most of the studies related to the corona effect have been carried out with direct current (DC) sources. Therefore, there is technical interest in validating numerical codes capable of simulating the AC phenomenon. In this work we describe a set of partial differential equations that are comprehensive enough to reproduce the distinctive features of the corona in an AC regime. The model embeds some selectable chemical databases, comprising tens of chemical species and hundreds of reactions, the thermal dynamics of neutral species and photoionization. A large set of parameters—deduced from experiments and numerical estimations—are compared, to assess the effectiveness of the proposed approach.

Hours of work and rest in the rail industry.

PubMed

Anderson, C; Grunstein, R R; Rajaratnam, S M W

2013-06-01

Currently, the National Transport Commission is considering four options to form the regulatory framework for rail safety within Australia with respect to fatigue. While the National Transport Commission currently recommends no limitations around hours of work or rest, we provide evidence which suggests regulatory frameworks should incorporate a traditional hours of service regulation over more flexible policies. Our review highlights: Shift durations >12 h are associated with a doubling of risk for accident and injury. Fatigue builds cumulatively with each successive shift where rest in between is inadequate (<12 h). A regulatory framework for fatigue management within the rail industry should prescribe limits on hours of work and rest, including maximum shift duration and successive number of shifts. Appropriately, validated biomathematical models and technologies may be used as a part of a fatigue management system, to augment the protection afforded by limits on hours of work and rest. A comprehensive sleep disorder screening and management programme should form an essential component of any regulatory framework. © 2013 The Authors; Internal Medicine Journal © 2013 Royal Australasian College of Physicians.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Elliott, Dennis; Frame, Caitlin; Gill, Carrie

The offshore renewable energy industry requires accurate meteorological and oceanographic (“metocean”) data for evaluating the energy potential, economic viability, and engineering requirements of offshore renewable energy projects. It is generally recognized that currently available metocean data, instrumentation, and models are not adequate to meet all of the stakeholder needs on a national scale. Conducting wind and wave resource assessments and establishing load design conditions requires both interagency collaboration as well as valuable input from experts in industry and academia. Under the Department of Energy and Department of Interior Memorandum of Understanding, the Resource Assessment and Design Condition initiative supports collaborativemore » national efforts by adding to core atmospheric and marine science knowledge relevant to offshore energy development. Such efforts include a more thorough understanding and data collection of key metocean phenomena such as wind velocity and shear; low-level jets; ocean, tidal, and current velocities; wave characteristics; geotechnical data relating to surface and subsurface characteristics; seasonal and diurnal variations; and the interaction among these conditions. Figure 1 presents a graphical representation of some metocean phenomena that can impact offshore energy systems. This document outlines the metocean observations currently available; those that are not available; and those that require additional temporal-spatial coverage, resolution, or processing for offshore energy in an effort to gather agreed-upon, needed observations.« less

Vision 2030. A Vision for the U.S. Concrete Industry

DOE Office of Scientific and Technical Information (OSTI.GOV)

none,

2001-01-01

On September 27, 2000, the concrete industry's Strategic Development Council hosted a Concrete Vision Workshop in Chicago, Illinois. Meeting participants included over 50 concrete, cement, and other allied industry chief executive officers, presidents, vice-presidents, laboratory and industry research managers, and government representatives. Participants discussed the state of the concrete industry 30 years ago, the state of the current industry, and their vision for the United States concrete industry in 2030. Moreover, they identified specific goals to achieve the industry's Vision 2030. This document, Vision 2030, is the product of that workshop and the comments received after a broad industry review.

75 FR 52292 - Airworthiness Directives; Diamond Aircraft Industries GmbH Models DA 40 and DA 40F Airplanes

Federal Register 2010, 2011, 2012, 2013, 2014

2010-08-25

... Industries GmbH Models DA 40 and DA 40F Airplanes AGENCY: Federal Aviation Administration (FAA), Department... new airworthiness directive (AD) for all Diamond Aircraft Industries GmbH Models DA 40 and DA 40F... received information from Diamond Aircraft Industries GmbH that the Models DA 40 and DA 40F airplanes have...

Investigating the Influence Relationship Models for Stocks in Indian Equity Market: A Weighted Network Modelling Study

PubMed Central

Acharjee, Animesh

2016-01-01

The socio-economic systems today possess high levels of both interconnectedness and interdependencies, and such system-level relationships behave very dynamically. In such situations, it is all around perceived that influence is a perplexing power that has an overseeing part in affecting the dynamics and behaviours of involved ones. As a result of the force & direction of influence, the transformative change of one entity has a cogent aftereffect on the other entities in the system. The current study employs directed weighted networks for investigating the influential relationship patterns existent in a typical equity market as an outcome of inter-stock interactions happening at the market level, the sectorial level and the industrial level. The study dataset is derived from 335 constituent stocks of ‘Standard & Poor Bombay Stock Exchange 500 index’ and study period is 1st June 2005 to 30th June 2015. The study identifies the set of most dynamically influential stocks & their respective temporal pattern at three hierarchical levels: the complete equity market, different sectors, and constituting industry segments of those sectors. A detailed influence relationship analysis is performed for the sectorial level network of the construction sector, and it was found that stocks belonging to the cement industry possessed high influence within this sector. Also, the detailed network analysis of construction sector revealed that it follows scale-free characteristics and power law distribution. In the industry specific influence relationship analysis for cement industry, methods based on threshold filtering and minimum spanning tree were employed to derive a set of sub-graphs having temporally stable high-correlation structure over this ten years period. PMID:27846251

Optimizing Outcome in the University-Industry Technology Transfer Projects

NASA Astrophysics Data System (ADS)

Alavi, Hamed; Hąbek, Patrycja

2016-06-01

Transferring inventions of academic scientists to private enterprises for the purpose of commercialization is long known as University-Industry (firm) Technology Transfer While the importance of this phenomenon is simultaneously raising in public and private sector, only a part of patented academic inventions succeed in passing the process of commercialization. Despite the fact that formal Technology Transfer process and licencing of patented innovations to third party is the main legal tool for safeguarding rights of academic inventors in commercialization of their inventions, it is not sufficient for transmitting tacit knowledge which is necessary in exploitation of transferred technology. Existence of reciprocal and complementary relations between formal and informal technology transfer process has resulted in formation of different models for university-industry organizational collaboration or even integration where licensee firms keep contact with academic inventors after gaining legal right for commercialization of their patented invention. Current paper argues that despite necessity for patents to legally pass the right of commercialization of an invention, they are not sufficient for complete knowledge transmission in the process of technology transfer. Lack of efficiency of formal mechanism to end the Technology Transfer loop makes an opportunity to create innovative interpersonal and organizational connections among patentee and licensee company. With emphasize on need for further elaboration of informal mechanisms as critical and underappreciated aspect of technology transfer process, article will try to answer the questions of how to optimize knowledge transmission process in the framework of University-Industry Technology Transfer Projects? What is the theoretical basis for university-industry technology transfer process? What are organization collaborative models which can enhance overall performance by improving transmission of knowledge in University- Firm Technology Transfer process?

Investigating the Influence Relationship Models for Stocks in Indian Equity Market: A Weighted Network Modelling Study.

PubMed

Bhattacharjee, Biplab; Shafi, Muhammad; Acharjee, Animesh

2016-01-01

The socio-economic systems today possess high levels of both interconnectedness and interdependencies, and such system-level relationships behave very dynamically. In such situations, it is all around perceived that influence is a perplexing power that has an overseeing part in affecting the dynamics and behaviours of involved ones. As a result of the force & direction of influence, the transformative change of one entity has a cogent aftereffect on the other entities in the system. The current study employs directed weighted networks for investigating the influential relationship patterns existent in a typical equity market as an outcome of inter-stock interactions happening at the market level, the sectorial level and the industrial level. The study dataset is derived from 335 constituent stocks of 'Standard & Poor Bombay Stock Exchange 500 index' and study period is 1st June 2005 to 30th June 2015. The study identifies the set of most dynamically influential stocks & their respective temporal pattern at three hierarchical levels: the complete equity market, different sectors, and constituting industry segments of those sectors. A detailed influence relationship analysis is performed for the sectorial level network of the construction sector, and it was found that stocks belonging to the cement industry possessed high influence within this sector. Also, the detailed network analysis of construction sector revealed that it follows scale-free characteristics and power law distribution. In the industry specific influence relationship analysis for cement industry, methods based on threshold filtering and minimum spanning tree were employed to derive a set of sub-graphs having temporally stable high-correlation structure over this ten years period.

Multilevel model of safety climate for furniture industries.

PubMed

Rodrigues, Matilde A; Arezes, Pedro M; Leão, Celina P

2015-01-01

Furniture companies can analyze their safety status using quantitative measures. However, the data needed are not always available and the number of accidents is under-reported. Safety climate scales may be an alternative. However, there are no validated Portuguese scales that account for the specific attributes of the furniture sector. The current study aims to develop and validate an instrument that uses a multilevel structure to measure the safety climate of the Portuguese furniture industry. The Safety Climate in Wood Industries (SCWI) model was developed and applied to the safety climate analysis using three different scales: organizational, group and individual. A multilevel exploratory factor analysis was performed to analyze the factorial structure. The studied companies' safety conditions were also analyzed. Different factorial structures were found between and within levels. In general, the results show the presence of a group-level safety climate. The scores of safety climates are directly and positively related to companies' safety conditions; the organizational scale is the one that best reflects the actual safety conditions. The SCWI instrument allows for the identification of different safety climates in groups that comprise the same furniture company and it seems to reflect those groups' safety conditions. The study also demonstrates the need for a multilevel analysis of the studied instrument.

High pressure inactivation of Brettanomyces bruxellensis in red wine.

PubMed

van Wyk, Sanelle; Silva, Filipa V M

2017-05-01

Brettanomyces bruxellensis ("Brett") is a major spoilage concern for the wine industry worldwide, leading to undesirable sensory properties. Sulphur dioxide, is currently the preferred method for wine preservation. However, due to its negative effects on consumers, the use of new alternative non-thermal technologies are increasingly being investigated. The aim of this study was to determine and model the effect of high pressure processing (HPP) conditions and yeast strain on the inactivation of "Brett" in Cabernet Sauvignon wine. Processing at 200 MPa for 3 min resulted in 5.8 log reductions. However higher pressure is recommended to achieve high throughput in the wine industry, for example >6.0 log reductions were achieved after 400 MPa for 5 s. The inactivation of B. bruxellensis is pressure and time dependent, with increased treatment time and pressure leading to increased yeast inactivation. It was also found that yeast strain had a significant effect on HPP inactivation, with AWRI 1499 being the most resistant strain. The Weibull model successfully described the HPP "Brett" inactivation. HPP is a viable alternative for the inactivation of B. bruxellensis in wine, with the potential to reduce the industry's reliance on sulphur dioxide. Copyright © 2016 Elsevier Ltd. All rights reserved.

Mycotoxins in ethanol co-products: modeling economic impacts on the livestock industry and management strategies.

PubMed

Wu, Felicia; Munkvold, Gary P

2008-06-11

The rapidly expanding U.S. ethanol industry is generating a growing supply of co-products, mostly in the form of dried distillers' grain and solubles (DDGS) or wet distillers' grains (WDG). In the United States, 90% of the co-products of maize-based ethanol are fed to livestock. An unintended consequence is that animals are likely to be fed higher levels of mycotoxins, which are concentrated up to three times in DDGS compared to grain. The model developed in this study estimates current losses to the swine industry from weight gain reduction due to fumonisins in added DDGS at $9 million ($2-18 million) annually. If there is complete market penetration of DDGS in swine feed with 20% DDGS inclusion in swine feed and fumonisins are not controlled, losses may increase to $147 million ($29-293 million) annually. These values represent only those losses attributable to one mycotoxin on one adverse outcome on one species. The total loss due to mycotoxins in DDGS could be significantly higher due to additive or multiplicative effects of multiple mycotoxins on animal health. If mycotoxin surveillance is implemented by ethanol producers, losses are shifted among multiple stakeholders. Solutions to this problem include methods to reduce mycotoxin contamination in both pre- and postharvest maize.

A conceptual framework for the sustainable management of wastewater in Harare, Zimbabwe.

PubMed

Nhapi, I; Gijzen, H J; Siebel, M A

2003-01-01

The aim of this study was to formulate an integrated wastewater management model for Harare, Zimbabwe, based on current thinking. This implies that wastewater is treated/disposed of as close to the source of generation as possible. Resource recovery and reuse in a local thriving urban agriculture are integrated into this model. Intervention strategies were considered for controlling water, nitrogen and phosphorus flows to the lake. In the formulation of strategies, Harare was divided into five major operational areas of high-, medium-, and low-density residential areas, and also commercial and industrial areas. Specific options were then considered to suit landuse, development constraints and socio-economic status for each area, within the overall criteria of limiting nutrient inflows into the downstream Lake Chivero. Flexible and differential solutions were developed in relation to built environment, population density, composition of users, ownership, future environmental demands, and technical, environmental, hygienic, social and organisational factors. Options considered include source control by the users (residents, industries, etc.), using various strategies like implementation of toilets with source separation, and natural methods of wastewater treatment. Other possible strategies are invoking better behaviour through fees and information, incentives for cleaner production, and user responsibility through education, legislative changes and stricter controls over industry.

Offshore safety case approach and formal safety assessment of ships.

PubMed

Wang, J

2002-01-01

Tragic marine and offshore accidents have caused serious consequences including loss of lives, loss of property, and damage of the environment. A proactive, risk-based "goal setting" regime is introduced to the marine and offshore industries to increase the level of safety. To maximize marine and offshore safety, risks need to be modeled and safety-based decisions need to be made in a logical and confident way. Risk modeling and decision-making tools need to be developed and applied in a practical environment. This paper describes both the offshore safety case approach and formal safety assessment of ships in detail with particular reference to the design aspects. The current practices and the latest development in safety assessment in both the marine and offshore industries are described. The relationship between the offshore safety case approach and formal ship safety assessment is described and discussed. Three examples are used to demonstrate both the offshore safety case approach and formal ship safety assessment. The study of risk criteria in marine and offshore safety assessment is carried out. The recommendations on further work required are given. This paper gives safety engineers in the marine and offshore industries an overview of the offshore safety case approach and formal ship safety assessment. The significance of moving toward a risk-based "goal setting" regime is given.

Survey of Environmental Issues in the Civilian Aviation Industry

DOT National Transportation Integrated Search

1996-01-01

The civilian aviation industry is increasingly being required to comply with the myriad environmental laws currently in force. To gain a better understanding of the types of environmental issues that are being dealt with in the industry, a survey of ...

Evaluating disease management program effectiveness: an introduction to survival analysis.

PubMed

Linden, Ariel; Adams, John L; Roberts, Nancy

2004-01-01

Currently, the most widely used method in the disease management industry for evaluating program effectiveness is the "total population approach." This model is a pretest-posttest design, with the most basic limitation being that without a control group, there may be sources of bias and/or competing extraneous confounding factors that offer plausible rationale explaining the change from baseline. Survival analysis allows for the inclusion of data from censored cases, those subjects who either "survived" the program without experiencing the event (e.g., achievement of target clinical levels, hospitalization) or left the program prematurely, due to disenrollement from the health plan or program, or were lost to follow-up. Additionally, independent variables may be included in the model to help explain the variability in the outcome measure. In order to maximize the potential of this statistical method, validity of the model and research design must be assured. This paper reviews survival analysis as an alternative, and more appropriate, approach to evaluating DM program effectiveness than the current total population approach.

Phenomenological Nusselt-Rayleigh Scaling of Turbulent Thermal Convection

NASA Astrophysics Data System (ADS)

Liu, Chien-Chia

2017-12-01

Natural convection between the hot floor and the cool ceiling, so called Rayleigh-Bénard convection, is pervasive and of both fundamental and industrial interests. One key issue is how heat transfer varies with increasing thermal potential, or equivalently how the Nusselt number (Nu) scales with the Rayleigh number (Ra). The overview of experimental findings remains to show the need of extra explanation complemental to the current theories. Here we present a model based on the phenomenological theory of turbulence, where the power-law spectral exponent of the energy spectrum is the only input parameter required. The goal aims to elucidate the unexplained aspect in the Nu-Ra scaling. We find that Kolmogorov turbulence in the current model leads to Nu ˜ Ra0.3, in good agreement with the modern experimental results. We hope that this model could stimulate the discussion as to the effects of the spectral phenomena on the Nu-Ra scaling, and thus augment our understanding of buoyancy-driven thermal convection.

Discrepancy between simulated and observed ethane and propane levels explained by underestimated fossil emissions

NASA Astrophysics Data System (ADS)

Dalsøren, Stig B.; Myhre, Gunnar; Hodnebrog, Øivind; Myhre, Cathrine Lund; Stohl, Andreas; Pisso, Ignacio; Schwietzke, Stefan; Höglund-Isaksson, Lena; Helmig, Detlev; Reimann, Stefan; Sauvage, Stéphane; Schmidbauer, Norbert; Read, Katie A.; Carpenter, Lucy J.; Lewis, Alastair C.; Punjabi, Shalini; Wallasch, Markus

2018-03-01

Ethane and propane are the most abundant non-methane hydrocarbons in the atmosphere. However, their emissions, atmospheric distribution, and trends in their atmospheric concentrations are insufficiently understood. Atmospheric model simulations using standard community emission inventories do not reproduce available measurements in the Northern Hemisphere. Here, we show that observations of pre-industrial and present-day ethane and propane can be reproduced in simulations with a detailed atmospheric chemistry transport model, provided that natural geologic emissions are taken into account and anthropogenic fossil fuel emissions are assumed to be two to three times higher than is indicated in current inventories. Accounting for these enhanced ethane and propane emissions results in simulated surface ozone concentrations that are 5-13% higher than previously assumed in some polluted regions in Asia. The improved correspondence with observed ethane and propane in model simulations with greater emissions suggests that the level of fossil (geologic + fossil fuel) methane emissions in current inventories may need re-evaluation.

Analysis of Development Environment and Development Trend of Chinese Tourism

NASA Astrophysics Data System (ADS)

Zhao, Liyun; Li, Lingzhi

2018-01-01

Since the reform and opening up of Chinese tourism industry, the scale has been continuously expanded and the income from tourism has been continuously increasing. Chinese tourism industry has become one of the most potential industries in the service industry. By analyzing the development environment and development trend of Chinese tourism industry from 2000 to 2016, we can understand the current situation of Chinese tourism development and provide suggestions for better development of Chinese tourism industry.

The atmospheric effects of stratospheric aircraft: A topical review

NASA Technical Reports Server (NTRS)

Johnston, Harold S.; Prather, M. J.; Watson, R. T.

1991-01-01

In the late 1960s the aircraft industry became interested in developing a fleet of supersonic transports (SSTs). Between 1972 and 1975, the Climatic Impact Assessment Program (CIAP) studied the possible environmental impact of SSTs. For environmental and economic reasons, the fleet of SSTs was not developed. The Upper Atmosphere Research Program (UARP) has recently undertaken the responsibility of directing scientific research needed to assess the atmospheric impact of supersonic transports. The UARP and the High-Speed Research Program asked Harold Johnston to review the current understanding of aircraft emissions and their effect on the stratosphere. Johnston and his colleagues have recently re-examined the SST problem using current models for stratospheric ozone chemistry. A unique view is given here of the current scientific issues and the lessons learned since the beginning of CIAP, and it links the current research program with the assessment process that began two years ago.

Current Marijuana Use by Industry and Occupation - Colorado, 2014-2015.

PubMed

Smith, Roberta; Hall, Katelyn E; Etkind, Paul; Van Dyke, Mike

2018-04-13

The effects of marijuana use on workplace safety are of concern for public health and workplace safety professionals. Twenty-nine states and the District of Columbia have enacted laws legalizing marijuana at the state level for recreational and/or medical purposes. Employers and safety professionals in states where marijuana use is legal have expressed concerns about potential increases in occupational injuries, such as on-the-job motor vehicle crashes, related to employee impairment. Data published in 2017 by the Colorado Department of Public Health and Environment (CDPHE) showed that more than one in eight adult state residents aged ≥18 years currently used marijuana in 2014 (13.6%) and 2015 (13.4%) (1). To examine current marijuana use by working adults and the industries and occupations in which they are employed, CDPHE analyzed data from the state's Behavioral Risk Factor Surveillance System (BRFSS) regarding current marijuana use (at least 1 day during the preceding 30 days) among 10,169 persons who responded to the current marijuana use question. During 2014 and 2015, 14.6% of these 10,169 Colorado workers reported current marijuana use, with the highest reported prevalence among workers in the Accommodation and Food Services industry (30.1%) and Food Preparation and Serving (32.2%) occupations. Understanding the industries and occupations of adults with reported marijuana use can help direct and maximize impact of public health messaging and potential safety interventions for adults.

Mutual Inductance Problem for a System Consisting of a Current Sheet and a Thin Metal Plate

NASA Technical Reports Server (NTRS)

Fulton, J. P.; Wincheski, B.; Nath, S.; Namkung, M.

1993-01-01

Rapid inspection of aircraft structures for flaws is of vital importance to the commercial and defense aircraft industry. In particular, inspecting thin aluminum structures for flaws is the focus of a large scale R&D effort in the nondestructive evaluation (NDE) community. Traditional eddy current methods used today are effective, but require long inspection times. New electromagnetic techniques which monitor the normal component of the magnetic field above a sample due to a sheet of current as the excitation, seem to be promising. This paper is an attempt to understand and analyze the magnetic field distribution due to a current sheet above an aluminum test sample. A simple theoretical model, coupled with a two dimensional finite element model (FEM) and experimental data will be presented in the next few sections. A current sheet above a conducting sample generates eddy currents in the material, while a sensor above the current sheet or in between the two plates monitors the normal component of the magnetic field. A rivet or a surface flaw near a rivet in an aircraft aluminum skin will disturb the magnetic field, which is imaged by the sensor. Initial results showed a strong dependence of the flaw induced normal magnetic field strength on the thickness and conductivity of the current-sheet that could not be accounted for by skin depth attenuation alone. It was believed that the eddy current imaging method explained the dependence of the thickness and conductivity of the flaw induced normal magnetic field. Further investigation, suggested the complexity associated with the mutual inductance of the system needed to be studied. The next section gives an analytical model to better understand the phenomenon.

High-frequency CAD-based scattering model: SERMAT

NASA Astrophysics Data System (ADS)

Goupil, D.; Boutillier, M.

1991-09-01

Specifications for an industrial radar cross section (RCS) calculation code are given: it must be able to exchange data with many computer aided design (CAD) systems, it must be fast, and it must have powerful graphic tools. Classical physical optics (PO) and equivalent currents (EC) techniques have proven their efficiency on simple objects for a long time. Difficult geometric problems occur when objects with very complex shapes have to be computed. Only a specific geometric code can solve these problems. We have established that, once these problems have been solved: (1) PO and EC give good results on complex objects of large size compared to wavelength; and (2) the implementation of these objects in a software package (SERMAT) allows fast and sufficiently precise domain RCS calculations to meet industry requirements in the domain of stealth.

The applications of nanotechnology in food industry.

PubMed

Rashidi, Ladan; Khosravi-Darani, Kianoush

2011-09-01

Nanotechnology has the potential of application in the food industry and processing as new tools for pathogen detection, disease treatment delivery systems, food packaging, and delivery of bioactive compounds to target sites. The application of nanotechnology in food systems will provide new methods to improve safety and the nutritional value of food products. This article will review the current advances of applications of nanotechnology in food science and technology. Also, it describes new current food laws for nanofood and novel articles in the field of risk assessment of using nanotechnology in the food industry.

A statistical approach to nuclear fuel design and performance

NASA Astrophysics Data System (ADS)

Cunning, Travis Andrew

As CANDU fuel failures can have significant economic and operational consequences on the Canadian nuclear power industry, it is essential that factors impacting fuel performance are adequately understood. Current industrial practice relies on deterministic safety analysis and the highly conservative "limit of operating envelope" approach, where all parameters are assumed to be at their limits simultaneously. This results in a conservative prediction of event consequences with little consideration given to the high quality and precision of current manufacturing processes. This study employs a novel approach to the prediction of CANDU fuel reliability. Probability distributions are fitted to actual fuel manufacturing datasets provided by Cameco Fuel Manufacturing, Inc. They are used to form input for two industry-standard fuel performance codes: ELESTRES for the steady-state case and ELOCA for the transient case---a hypothesized 80% reactor outlet header break loss of coolant accident. Using a Monte Carlo technique for input generation, 105 independent trials are conducted and probability distributions are fitted to key model output quantities. Comparing model output against recognized industrial acceptance criteria, no fuel failures are predicted for either case. Output distributions are well removed from failure limit values, implying that margin exists in current fuel manufacturing and design. To validate the results and attempt to reduce the simulation burden of the methodology, two dimensional reduction methods are assessed. Using just 36 trials, both methods are able to produce output distributions that agree strongly with those obtained via the brute-force Monte Carlo method, often to a relative discrepancy of less than 0.3% when predicting the first statistical moment, and a relative discrepancy of less than 5% when predicting the second statistical moment. In terms of global sensitivity, pellet density proves to have the greatest impact on fuel performance, with an average sensitivity index of 48.93% on key output quantities. Pellet grain size and dish depth are also significant contributors, at 31.53% and 13.46%, respectively. A traditional limit of operating envelope case is also evaluated. This case produces output values that exceed the maximum values observed during the 105 Monte Carlo trials for all output quantities of interest. In many cases the difference between the predictions of the two methods is very prominent, and the highly conservative nature of the deterministic approach is demonstrated. A reliability analysis of CANDU fuel manufacturing parametric data, specifically pertaining to the quantification of fuel performance margins, has not been conducted previously. Key Words: CANDU, nuclear fuel, Cameco, fuel manufacturing, fuel modelling, fuel performance, fuel reliability, ELESTRES, ELOCA, dimensional reduction methods, global sensitivity analysis, deterministic safety analysis, probabilistic safety analysis.

Component characterization and predictive modeling for green roof substrates optimized to adsorb P and improve runoff quality: A review.

PubMed

Jennett, Tyson S; Zheng, Youbin

2018-06-01

This review is a synthesis of the current knowledge regarding the effects of green roof substrate components and their retentive capacity for nutrients, particularly phosphorus (P). Substrates may behave as either sources or sinks of P depending on the components they are formulated from, and to date, the total P-adsorbing capacity of a substrate has not been quantified as the sum of the contributions of its components. Few direct links have been established among substrate components and their physicochemical characteristics that would affect P-retention. A survey of recent literature presented herein highlights the trends within individual component selection (clays and clay-like material, organics, conventional soil and sands, lightweight inorganics, and industrial wastes and synthetics) for those most common during substrate formulation internationally. Component selection will vary with respect to ease of sourcing component materials, cost of components, nutrient-retention capacity, and environmental sustainability. However, the number of distinct components considered for inclusion in green roof substrates continues to expand, as the desires of growers, material suppliers, researchers and industry stakeholders are incorporated into decision-making. Furthermore, current attempts to characterize the most often used substrate components are also presented whereby runoff quality is correlated to entire substrate performance. With the use of well-described characterization (constant capacitance model) and modeling techniques (the soil assemblage model), it is proposed that substrates optimized for P adsorption may be developed through careful selection of components with prior knowledge of their chemical properties, that may increase retention of P in plant-available forms, thereby reducing green roof fertilizer requirements and P losses in roof runoff. Copyright © 2017 Elsevier Ltd. All rights reserved.

Towards a meaningful assessment of marine ecological impacts in life cycle assessment (LCA).

PubMed

Woods, John S; Veltman, Karin; Huijbregts, Mark A J; Verones, Francesca; Hertwich, Edgar G

2016-01-01

Human demands on marine resources and space are currently unprecedented and concerns are rising over observed declines in marine biodiversity. A quantitative understanding of the impact of industrial activities on the marine environment is thus essential. Life cycle assessment (LCA) is a widely applied method for quantifying the environmental impact of products and processes. LCA was originally developed to assess the impacts of land-based industries on mainly terrestrial and freshwater ecosystems. As such, impact indicators for major drivers of marine biodiversity loss are currently lacking. We review quantitative approaches for cause-effect assessment of seven major drivers of marine biodiversity loss: climate change, ocean acidification, eutrophication-induced hypoxia, seabed damage, overexploitation of biotic resources, invasive species and marine plastic debris. Our review shows that impact indicators can be developed for all identified drivers, albeit at different levels of coverage of cause-effect pathways and variable levels of uncertainty and spatial coverage. Modeling approaches to predict the spatial distribution and intensity of human-driven interventions in the marine environment are relatively well-established and can be employed to develop spatially-explicit LCA fate factors. Modeling approaches to quantify the effects of these interventions on marine biodiversity are less well-developed. We highlight specific research challenges to facilitate a coherent incorporation of marine biodiversity loss in LCA, thereby making LCA a more comprehensive and robust environmental impact assessment tool. Research challenges of particular importance include i) incorporation of the non-linear behavior of global circulation models (GCMs) within an LCA framework and ii) improving spatial differentiation, especially the representation of coastal regions in GCMs and ocean-carbon cycle models. Copyright © 2016 Elsevier Ltd. All rights reserved.

Extending DoD Modeling and Simulation with Web 2.0, Ajax and X3D

DTIC Science & Technology

2007-09-01

Supported by Gavin King, who created the well known and industry respected Hibernate , (O/R) Object Relational Mapping tool, which binds Java ...most likely a Hibernate derivative). The preceding is where eBay differs from a pure Java EE specification “by the book” implementation. A truly... Java language has come a long way in providing real world case studies and scalable solutions for the enterprise that are currently in production on

Aircraft Wake Vortices: An Assessment of the Current Situation

DTIC Science & Technology

1991-01-01

1979 , DOT/TSC, Cambridge, MA. 36. Burnham, D.C., "Chicago Monostatic Acoustic Vortex Sensing System, Vol. I : Data Collection and Reduction," FAA-RD-79...April 1979 , DOT/TSC, Cambridge, MA. 45. Hallock, J.N., "Vortex Advisory System Safety Analysis; Vol. I : Analytical Model," FAA-RD-78-68. I , September...Industry Representatives," March 1979 , Economics & Science Planning Inc., Washington, DC. 106. Hallock, J.N., "Vortex Advisory System, Vol. I : Effectiveness

Radiotracer Technology in Mixing Processes for Industrial Applications

PubMed Central

Othman, N.; Kamarudin, S. K.

2014-01-01

Many problems associated with the mixing process remain unsolved and result in poor mixing performance. The residence time distribution (RTD) and the mixing time are the most important parameters that determine the homogenisation that is achieved in the mixing vessel and are discussed in detail in this paper. In addition, this paper reviews the current problems associated with conventional tracers, mathematical models, and computational fluid dynamics simulations involved in radiotracer experiments and hybrid of radiotracer. PMID:24616642

Advanced Modulation and Coding Technology Conference

NASA Technical Reports Server (NTRS)

1992-01-01

The objectives, approach, and status of all current LeRC-sponsored industry contracts and university grants are presented. The following topics are covered: (1) the LeRC Space Communications Program, and Advanced Modulation and Coding Projects; (2) the status of four contracts for development of proof-of-concept modems; (3) modulation and coding work done under three university grants, two small business innovation research contracts, and two demonstration model hardware development contracts; and (4) technology needs and opportunities for future missions.

Declining physical activity and the socio-cultural context of the geography of industrial restructuring: a novel conceptual framework.

PubMed

Rind, Esther; Jones, Andy

2014-05-01

At the population level, the prevalence of physical activity has declined considerably in many developed countries in recent decades. There is some evidence that areas exhibiting the lowest activity levels are those which have undergone a particularly strong transition away from employment in physically demanding occupations. We propose that processes of deindustrialization may be causally linked to unexplained geographical disparities in levels of physical activity. While the sociocultural correlates of physical activity have been well studied, and prior conceptual frameworks have been developed to explain more general patterns of activity, none have explicitly attempted to identify the components of industrial change that may impact physical activity. In this work we review the current literature on sociocultural correlates of health behaviors before using a case study centered on the United Kingdom to present a novel framework that links industrial change to declining levels of physical activity. We developed a comprehensive model linking sociocultural correlates of physical activity to processes associated with industrial restructuring and discuss implication for policy and practice. A better understanding of sociocultural processes may help to ameliorate adverse health consequences of employment decline in communities that have experienced substantial losses of manual employment.

Logistics Response to the Industry 4.0: the Physical Internet

NASA Astrophysics Data System (ADS)

Maslarić, Marinko; Nikoličić, Svetlana; Mirčetić, Dejan

2016-11-01

Today's mankind and all human activities are constantly changing and evolving in response to changes in technology, social and economic environments and climate. Those changes drive a "new" way of manufacturing industry. That novelty could be described as the organization of production processes based on technology and devices autonomously communicating with each other along the value chain. Decision-makers have to address this novelty (usually named as Industry 4.0) and try to develop appropriate information systems, physical facilities, and different kind of technologies capable of meeting the future needs of economy. As a consequence, there is a need for new paradigms of the way freight is move, store, realize, and supply through the world (logistics system). One of the proposed solutions is the Physical Internet, concept of open global logistics system which completely redefines current supply chain configuration, business models, and value-creation patterns.However, further detailed research on this topic is much needed. This paper aims to provide a balanced review of the variety of views considered among professionals in the field of Physical Internet with the final aim to identify the biggest challenges (technological, societal, business paradigm) of proposed new logistics paradigm as a practical solution in supporting Industry 4.0.

Extra-virgin olive oil: are consumers provided with the sensory quality they want? A hedonic price model with sensory attributes.

PubMed

Cavallo, Carla; Caracciolo, Francesco; Cicia, Gianni; Del Giudice, Teresa

2018-03-01

Over the years, niche-differentiation strategies and food policies have pushed quality standards of European extra-virgin olive oil towards a product that has a sensory profile consisting of fruity, bitter and pungent notes, with such oils having excellent healthy features. However, it is unclear whether typical consumers are ready for a richer and more complex sensory profile than the neutral one historically found on the market. This potential discrepancy is investigated in the present study aiiming to determine whether current demand is able to appreciate this path of quality enhancement. Implicit prices for each and every attribute of extra-virgin olive oil with a focus on sensory characteristics were investigated using a hedonic price model. Although confirming the importance of origin and terroir for extra-virgin olive oil, the results of the present study strongly confirm the discrepancy between what is currently valued on the market and what novel supply trends are trying to achieve in terms of the sensory properties of such products. Increasing consumer awareness about the direct link between the health quality of oils and their sensory profile appears to be necessary to make quality enhancement programs more successful on the market and hence more effective for companies. © 2017 Society of Chemical Industry. © 2017 Society of Chemical Industry.

The Use of Contact Lenses in Industrial Environments: An Assessment of Current Research and Policy.

ERIC Educational Resources Information Center

Connors, Terry

2001-01-01

Attempts to dispel rumors concerning contact lenses and tries to supply prudent-use practices for allowing contact lenses in industry and laboratories. Discusses federal regulations that impact the use of contact lenses in industry, policy statements from medical organizations on use of contact lenses in industrial environments, and the…

The Negro in the Drugstore Industry. The Racial Policies of American Industry.

ERIC Educational Resources Information Center

Fletcher, F. Marion; Keeney, Marie R.

This study examines the historical and current levels of Negro employment in drugstores, the reasons for the employment patterns, the prospects for greater Negro employment in high status jobs, and the effects of industry employment policies on the retail drug industry employment of Negroes. The report explores the nature of the retail drug…

A national profile of the U.S. hardwood sawmill industry

Treesearch

Scott Bowe; Robert Smith; Philip A. Araman

2001-01-01

A nationwide survey of the hardwood sawmill industry was conducted in the fall of 1999. The objectives of the survey were to generate a current demographic profile of the hardwood sawmill industry and identify the preferred information sources for the hardwood sawmill industry. These objectives were chosen because timely information was not available for the hardwood...

Socio-Economics of Lake Victoria's Fisheries: An Analysis of the Shifting Roles and Status of Women Fish Traders

ERIC Educational Resources Information Center

Craig, Heather

2007-01-01

Fishing industries around the world are currently undergoing a process of industrialization and commercialization. A similar story is unfolding in many fishing communities: large-scale industrial fishers who possess enormous capital and advanced technologies are threatening the lives of small-scale fisherfolk. The fishing industry in Lake Victoria…

Educating Tomorrow's Workforce: A Report on the Semiconductor Industry's Commitment to Youth in K-12.

ERIC Educational Resources Information Center

Semiconductor Industry Association, San Jose, CA.

The U.S. semiconductor industry, now the nation's largest manufacturing industry, displays its commitment to training its current workers and educating future workers by supporting educational efforts on the K-12 level. This catalog describes innovative actions by 16 Semiconductor Industry Association companies to improve education at the K-12…

Microbial Production of l-Serine from Renewable Feedstocks.

PubMed

Zhang, Xiaomei; Xu, Guoqiang; Shi, Jinsong; Koffas, Mattheos A G; Xu, Zhenghong

2018-07-01

l-Serine is a non-essential amino acid that has wide and expanding applications in industry with a fast-growing market demand. Currently, extraction and enzymatic catalysis are the main processes for l-serine production. However, such approaches limit the industrial-scale applications of this important amino acid. Therefore, shifting to the direct fermentative production of l-serine from renewable feedstocks has attracted increasing attention. This review details the current status of microbial production of l-serine from renewable feedstocks. We also summarize the current trends in metabolic engineering strategies and techniques for the typical industrial organisms Corynebacterium glutamicum and Escherichia coli that have been developed to address and overcome major challenges in the l-serine production process. Copyright © 2018 Elsevier Ltd. All rights reserved.

Virtual welding equipment for simulation of GMAW processes with integration of power source regulation

NASA Astrophysics Data System (ADS)

Reisgen, Uwe; Schleser, Markus; Mokrov, Oleg; Zabirov, Alexander

2011-06-01

A two dimensional transient numerical analysis and computational module for simulation of electrical and thermal characteristics during electrode melting and metal transfer involved in Gas-Metal-Arc-Welding (GMAW) processes is presented. Solution of non-linear transient heat transfer equation is carried out using a control volume finite difference technique. The computational module also includes controlling and regulation algorithms of industrial welding power sources. The simulation results are the current and voltage waveforms, mean voltage drops at different parts of circuit, total electric power, cathode, anode and arc powers and arc length. We describe application of the model for normal process (constant voltage) and for pulsed processes with U/I and I/I-modulation modes. The comparisons with experimental waveforms of current and voltage show that the model predicts current, voltage and electric power with a high accuracy. The model is used in simulation package SimWeld for calculation of heat flux into the work-piece and the weld seam formation. From the calculated heat flux and weld pool sizes, an equivalent volumetric heat source according to Goldak model, can be generated. The method was implemented and investigated with the simulation software SimWeld developed by the ISF at RWTH Aachen University.