1,370 research outputs found
Measuring pregnancy planning: An assessment of the London Measure of Unplanned Pregnancy among urban, south Indian women
No full textCopyright © 2010 Corinne H. Rocca et al.
This open-access work is published under the terms of the Creative Commons Attribution NonCommercial License 2.0 Germany, which permits use, reproduction & distribution in any medium for non-commercial purposes, provided the original author(s) and source are given credit. See http:// creativecommons.org/licenses/by-nc/2.0/de/.We evaluated the psychometric properties of the London Measure of Unplanned Pregnancy among Indian women using classical methods and Item Response Modeling. The scale exhibited good internal consistency and internal structure, with overall scores correlating well with each item’s response categories. Items performed similarly for pregnant and non-pregnant women, and scores decreased with increasing parity, providing evidence for validity. Analyses detected small disadvantages, including low endorsement of middle response categories and some evidence of differential item functioning by parity. We conclude that the LMUP is suitable for use in India and recommend steps for improving scale performance for this cultural context.National Institute of Child Health and Human Development and the Levis Strauss Foundation
Sexualidade da mulher durante a gestação.
No full textTrabalho de Conclusão de Curso - Universidade Federal de Santa Catarina, Centro de Ciências da Saúde, Departamento de Tocoginecologia, Curso de Medicina, Florianópolis, 199
What is the Time Limit for Filing a Lawsuit? It Depends on What Your Definition of Arising Under Is! An Analysis of Jones v. R.R. Donnelley & Sons Co.
No full textThis article previews the Supreme Court case Jones et. al. v. R.R. Donnelly & Sons Co., 541 U.S. 369 (2004). The author predicted that the case would require the court to determine the appropriate statute of limitations to apply in a class action race-discrimination lawsuit filed under 42 U.S.C. § 1981
Dynamic synchromodal transport planning under uncertainty: A reinforcement learning approach
No full textAccepted Author ManuscriptTransport Engineering and Logistic
The Scope of Employer Liability for Employee Exposure to a Hazardous Substance: No Harm, No Foul? An Analysis of Metro-North Commuter R.R. Co. v. Buckley
No full textThis article previews the Supreme Court case Metro-North Commuter R.R. Co. v. Buckley, 521 U.S. 424 (1997). The author expected the Court to decide whether a railroad worker who is covered by the Federal Employer\u27s Liability Act who has been exposed to asbestos because of employer negligence but who has not developed an asbestos-related disease can recover damages for emotional distress caused by the exposure
Multi-agent model predictive control for transportation networks: Serial versus parallel schemes
No full textWe consider the control of large-scale transportation networks, like road traffic networks, power distribution networks, water distribution networks, etc. Control of these networks is often not possible from a single point by a single intelligent control agent; instead control has to be performed using multiple intelligent agents. We consider multi-agent control schemes in which each agent employs a model-based predictive control approach. Coordination between the agents is used to improve decision making. This coordination can be in the form of parallel or serial schemes. We propose a novel serial coordination scheme based on Lagrange theory and compare this with an existing parallel scheme. Experiments by means of simulations on a particular type of transportation network, viz., an electric power network, illustrate the performance of both schemes. It is shown that the serial scheme has preferable properties compared to the parallel scheme in terms of the convergence speed and the quality of the solution. If you want to cite this report, please use the following reference instead: R.R. Negenborn, B. De Schutter, and J. Hellendoorn, “Multi-agent model predictive control for transportation networks: Serial versus parallel schemes,” Engineering Applications of Artificial Intelligence, vol. 21, no. 3, pp. 353–366, Apr. 2008.Delft Center for Systems and ControlMechanical, Maritime and Materials Engineerin
Optimization of condition-based asset management using a predictive health model
No full textIn this paper, a model predictive framework is used to optimize the operation and maintenance actions of power system equipment based on the predicted health sate of this equipment. In particular, this framework is used to predict the health state of transformers based on their usage. The health state of a transformer is hereby given by the hot-spot temperature of the paper insulation of the transformer and is predicted using the planned loading of the transformer. The actual loading of the transformer is subsequently optimized using these predictions. If you want to cite this report, please use the following reference instead: G. Bajracharya, T. Koltunowicz, R.R. Negenborn, Z. Papp, D. Djairam, B. De Schutter, J. J. Smit. Optimization of condition-based asset management using a predictive health model. In Proceedings of the 16th International Symposium on High Voltage Engineering (ISH 2009), Cape Town, South Africa, August 2009.Electrical Sustainable EnergyElectrical Engineering, Mathematics and Computer Scienc
Het ontwerp van intelligente software voor energiebezuiniging met behulp van patroonherkenning in het elektriciteitsverbruik
No full textThis thesis presents software that controls electrical household appliances. It uses an intelligent algorithm that adapts to the use of these household appliances by recognizing patterns of electricity useage.Electrical Engineering, Mathematics and Computer Scienc
Challenges for process system engineering in infrastructure operation and control
No full textThe need for improving the operation and control of infrastructure systems has created a demand on optimization methods applicable in the area of complex sociotechnical systems operated by a multitude of actors in a setting of decentralized decision making. This paper briefly presents main classes of optimization models applied in PSE system operation, explores their applicability in infrastructure system operation and stresses the importance of multi-level optimization and multi-agent model predictive control. If you want to cite this report, please use the following reference instead: Z. Lukszo, M.P.C. Weijnen, R.R. Negenborn, B. De Schutter, and M. Ilic, “Challenges for process system engineering in infrastructure operation and control,” in 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering (Garmisch-Partenkirchen, Germany, July 2006) (W. Marquardt and C. Pantelides, eds.), vol. 21 of Computer-Aided Chemical Engineering, Amsterdam, The Netherlands: Elsevier, ISBN 978-0-444-52969-5, pp. 95–100, 2006.Delft Center for Systems and ControlMechanical, Maritime and Materials Engineerin
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