427 research outputs found
Aging, Gender and Neighbourhood Determinants of Distance Traveled: A Multilevel Analysis in the Hamilton CMA
No full textThe objective of this study is to investigate the determinants of mean trip distance traveled by different mode types. The study uses data from the Hamilton CMA in Canada, and multilevel models to investigate demographic aging factors, gender differentials, and neighbourhood attributes on distance traveled. The results of the study validate previous findings regarding the decline in distance traveled as age advances. In addition, it is found that: 1) While this effect of age is present for all modes analyzed (car-driving, car-passenger, and bus) it is considerably more marked for car-driving; 2) There are significant gender effects compounded by the interrelated factors of employment constraints, household dynamics, and greater reliance on travel modes other than car driving; and 3) Neighbourhoods with high commercial and residential mix showed a negative relation with distance traveled only in the case of car-driver.distance traveled, aging, elderly, gender, neighbourhood influence, multilevel analysis
Solving Satisfiability in Fuzzy Logics by Mixing CMA-ES (abstract)
No full textSatisfiability in propositional logic is well researched and many approaches to checking and solving exist. In infinite-valued or fuzzy logics, however, there have only recently been attempts at developing methods for solving satisfiability. In this paper, we analyse the function landscape of different problem classes, focussing our analysis on plateaus. Based on this study, we develop Mixing CMA-ES (M-CMAES), an extension to CMA-ES that is well suited to solving problems with many large plateaus. We empirically show the relation between certain function landscape properties and M-CMA-ES performance
Multi-objective optimization of permanent magnet motors using deep learning and CMA-ES
No full textThis paper proposes a multi-objective optimization method for permanent magnet motors using a fast optimization algorithm, Covariance Matrix Adaptation Evolution Strategy (CMA-ES), and deep learning. Multi-objective optimization with topology optimization is effective in the design of permanent magnet motors. Although CMA-ES needs fewer population size than genetic algorithm for single objective problems, this is not evident for multi-objective problems. For this reason, the proposed method generates training data by solving the single-objective optimization multiple times using CMA-ES, and constructs a deep neural network (NN) based on the data to predict performance from motor images at high speed. The deep NN is then used for fast solution of multi-objective optimization problems. Numerical examples demonstrate the effectiveness of the proposed method
The Impact of Immigration on the Labour Market Outcomes of Native-born Canadians
No full textAlthough immigration has become a major growth factor for Canadian labour force, there is little economic research on the effect of immigration on native-born Canadians' labour market performance. This paper examines the relationship between changes in the share of immigrants by sub-labour markets (categorized by skill types and geographic areas) and changes in native wage growth by a two-stage regression analysis, using 1991, 1996 and 2001 Canadian Census microdata. After accounting for biases due to native mobility, endogenous location of immigrants and labour demand shifts, the estimated effects of immigration are consistently insignificant or significantly positive. The results are robust over various specifications of sub-labour markets at city, provincial and national levels, suggesting no evidence for a negative impact on native wage growth rate from the large immigrant influx during the 1990s.immigration, labour supply, labour mobility, wage
Practical Product Development Challenges
No full textDespite the many product development techniques available today, manufacturers under pressure to reduce time to market while keeping up with stricter regulatory demands are struggling more than ever with their product development processes. Here, I list a selection of problems and challenges frequently encountered in my consulting practice and checked with literature, as well as practical recommendations for improvement. While in specific situations some project management techniques prove better suited than others, overall product development success seems more dependent on the organization's willingness and ability to learn and adapt rather than on the specific technique chosen.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Electronic Instrumentatio
Pharmacokinetic research in children: an analysis of registered records of clinical trials.
No full textBACKGROUND: Reported off-label/unlicensed prescribing rates in children range from 11% to 80%. Research into pharmacokinetic profiles of children's medicines is essential in the creation of more knowledge on the safety and efficacy of medicines in children. This study investigated how often pharmacokinetic data are collected in clinical trials of medicines in children by analysing registered records of clinical trials. METHODS: The registered records of all clinical trials in children that were recruiting on 22 May 2009 were identified on the International Clinical Trials Registry Platform using a Clinical Trials in Children search filter. The records of trials in children below 12 years of age, in which the intervention was one or more medicines, were assessed for evidence that pharmacokinetic data would be collected. RESULTS: Of 1081 eligible trial records, 257 (24%) declared that pharmacokinetic data would be collected. Of these trials, 199 (77%) recruited in Northern America; recruitment in all other regions was below 20%. Trials recruited most often in children over 2 years of age (74%), and least often in newborn infants (32%). Most trials researched medicines in the field of cancer (29%). Trials investigated one-third of the medicines that were indicated as a priority for pharmacokinetic research by the European Medicines Agency. CONCLUSIONS: There is a need for increased knowledge of the pharmacokinetic profiles of children's medicines. The amount of currently ongoing pharmacokinetic research does not seem to address adequately the lack of knowledge in this area. This study sets a baseline for monitoring of future progress on the amount of ongoing pharmacokinetic research in children
Agutagawa
No full textMedium: Woodcut.Print Image Size: 14 x 11 inches.Print Edition: no edition.Alternate Medium: Woodcut.Ink(s): black.Support: laid mulberry paper.A bust-length portrait of Ryunosuke Akutagawa - whose works include the short stories In a Grove and Rashoman - holding a book and writing brush. An alternate portrait of the author [CMA 2001.034.033] was completed the same year
An UF-IBSS-CMA Protected Online/Offline Identity-based Short Signature Technique using PDL
No full textAbstractIn this article, we present an online/offline identity-based short signature scheme using partial discrete logarithm (PDL). It is secure under unforgeability of identity-based short signature (IBSS) under chosen message attack (UF-IBSS-CMA) in random oracle. One of the interesting structures of our techniques is that it gives multi-time usage of the offline storage, which permits the signer to re-utilize the offline pre-processed info in polynomial time, as opposed to one-time usage in all past online/offline signature techniques. Our scheme is practical and feasible to be utilized in the wireless sensor network environment
Stable and convergent finite difference schemes on nonuniformtime meshes for distributed-order diffusion equations
No full textFunding Information: Acknowledgments: The authors acknowledge the support of the Center for Mathematics and Applications (CMA)—FCT-NOVA, Center for Computational and Stochastic Mathematics, Instituto Superior Técnico, and CMAT—Centre of Mathematics—University of Minho. The first author acknowledges Fundação para a Ciência e Tecnologia (Portuguese Foundation for Science and Technology) within Projects UIDB/04621/2020 and UIDP/04621/2020. The second author acknowledges the Fundação para a Ciência e a Tecnologia through Project UIDB/00297/2020 (Centro de Matemática e Aplicações). The third author acknowledges the funding by Fundação para a Ciência e Tecnologia through Projects UIDB/00013/2020 and UIDP/00013/2020.In this work, stable and convergent numerical schemes on nonuniform time meshes are proposed, for the solution of distributed-order diffusion equations. The stability and convergence of the numerical methods are proven, and a set of numerical results illustrate that the use of particular nonuniform time meshes provides more accurate results than the use of a uniform mesh, in the case of nonsmooth solutions.publishersversionpublishe
A CHEMICAL AND DYNAMICAL MODEL FOR THE OXYGEN-RICH SUPERGIANT VY CMA
No full textAuthor Institution: UNIVERSITY OF ARIZONA, STEWARD OBSERVATORY, ARIZONA RADIO OBSERVATORY, 933 N CHERRY AVENUE, TUCSON, AZ 85721VY Canis Majoris (VY CMa) is an oxygen-rich supergiant star that is loosing mass at a very high rate (). A source of OH, HO, and SiO maser emission, the circumstellar envelope was never thought to be abundant in molecules. Recent observations using the telescope facilities of the Arizona Radio Observatory (ARO) has shown that this source is the most chemically diverse O-rich envelope to date. Seventeen different species have now been found in VY CMa, including exotic compounds such as NaCl and PN. Six carbon-containing molecules have been identified, as well, including CS, HCO, and HNC. The line profiles vary dramatically from species to species. Modeling of the profiles indicates the presence of a spherical wind, a highly collimated blue-shifted outflow almost directly along the line of sight, and a poorly-collimated red-shifted expansion at a angle from the line of sight. This model agrees extremely well with Hubble Space Telescope infrared observations and atomic emission/absorption line data. Various chemistries exist in these regions. Sulfur-bearing species such as SO and SO are abundant in the collimated outflows, for example, while SiO dominates the spherical wind. The carbon is almost equally shared between CO and HCN in all three regions. Details of this chemistry will be presented, as well as an interpretation of the dynamical structure of VY CMa
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