Advances in molecular biology have led to some surprising discoveries. One of these includes the complexities of RNA and its role in gene expression. One particular class of RNA called microRNA (miRNA) is the focus of...
This paper presents multi-criteria design optimization of parallel mechanism based force feedback exoskeletons for human forearm and wrist. The optimized devices are aimed to be employed as a high fidelity haptic inte...
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This paper presents multi-criteria design optimization of parallel mechanism based force feedback exoskeletons for human forearm and wrist. The optimized devices are aimed to be employed as a high fidelity haptic interfaces. Multiple design objectives are discussed and classified for the devices and the optimization problem to study the trade-offs between these criteria is formulated. Dimensional syntheses are performed for optimal global kinematic and dynamic performance, utilizing a Pareto front based framework, for two spherical parallel mechanisms that satisfy the ergonomic necessities of a human forearm and wrist. Two optimized mechanisms are compared and discussed in the light of multiple design criteria. Finally, kinematic structure and dimensions of an optimal exoskeleton are decided.
作者:
Moodie, Erica E. M.Platt, Robert W.Kramer, Michael S.[a] Erica E. M. Moodie is an Assistant Professor in the Department of Epidemiology & Biostatistics Health
McGill University Montreal QC H3A 1A2 Canada . Robert W. Platt is an Associate Professor in the Department of Epidemiology & Biostatistics Health and the Department of Pediatrics at McGill University Montreal QC H3A 2K6 Canada . Dr. Platt is a Chercheur-boursier of the Fonds de recherche en santé du Québec (FRSQ). Michael S. Kramer is Professor in the Department of Pediatrics and the Department of Epidemiology & Biostatistics at McGill University Montreal QC H3H 1P3 Canada . Erica E. M. Moodie acknowledges funding through the Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant Program and a University Faculty Award and an Operating Grant through the Canadian Institutes of Health Research (CIHR). Robert W. Platt's research is also supported by a Discovery Grant from NSERC and core funding to the Montreal Children's Hospital Research Institute from the FRSQ. The Promotion of Breastfeeding Intervention Trial was supported by grants from the Thrasher Research Fund the National Health Research and Development Program (Health Canada) UNICEF the European Regional Office of WHO and the CIHR. The authors would like to thank the associate editor David Banks and the two anonymous referees for their careful review of the manuscript and helpful suggestions.
To estimate the sequence of actions that optimizes response in a longitudinal setting, it is important to study the actions as part of a set of decision rules rather than in a series of single-action comparisons. We t...
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To estimate the sequence of actions that optimizes response in a longitudinal setting, it is important to study the actions as part of a set of decision rules rather than in a series of single-action comparisons. We take as our motivating example the estimation of the set of decision rules for the duration of breastfeeding with a view to maximizing infant growth. Breastfeeding has many well-recognized beneficial effects on health and development. However observational evidence has suggested that breastfeeding is associated with reduced infant growth, although the long-term consequences for stature and adiposity remain controversial. The Promotion of Breastfeeding Intervention Trial (PROBIT) recruited 17,046 women in which hospitals and their affiliated polyclinics in Belarus were randomized to a breastfeeding promotion intervention or to standard care. In this article, we propose Structural Mean Models and estimate their parameters using G-estimation to obtain unbiased estimates of the effect of continued breastfeeding on infant growth (weight or length) at one year of age. We also implement a modified version of the G-estimation algorithm that is asymptotically unbiased; this is the first real-data application of the algorithm. Finally, we compare the decision rules implied by the G-estimates with the decision implied by a myopic optimization estimation approach, that is, we compare with decision rules that maximize response in the short-term. The breastfeeding regimes selected by each of the three models are optimal in the sense that specific criteria were optimized; the criteria considered here (maximizing weight or length) were chosen for simplicity, but may not lead to better overall health. We demonstrate in the context of a breastfeeding promotion intervention trial that optimal myopic decision strategies do not coincide with strategies that optimize a longer-term response. Please see the online supplements for a correction to this article.
In this work, analog application for the sliding mode control (SMC) of piezoelectric actuators is presented. DSP application of the algorithm suffers from ADC and DAC conversions and faces speed limitations. Moreover,...
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Brachypodium distachyon (L.) Beauv. is a temperate wild grass species;its morphological and genomic characteristics make it a model system when compared to many other grass species. It has a small genome, short growth...
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Brachypodium distachyon (L.) Beauv. is a temperate wild grass species;its morphological and genomic characteristics make it a model system when compared to many other grass species. It has a small genome, short growth cycle, self-fertility, many diploid accessions, and simple growth requirements. In addition, it is phylogenetically close to economically important crops, like wheat and barley, and several potential biofuel grasses. It exhibits agricultural traits similar to those of these target crops. For cereal genomes, it is a better model than Arabidopsis thaliana and Oryza sativa (rice), the former used as a model for all flowering plants and the latter hitherto used as model for genomes of all temperate grass species including major cereals like barley and wheat. Increasing interest in this species has resulted in the development of a series of genomics resources, including nuclear sequences and BAC/EST libraries, together with the collection and characterization of other genetic resources. It is expected that the use of this model will allow rapid advances in generation of genomics information for the improvement of all temperate crops, particularly the cereals.
Spatially variable composites of Calcium Magnesium Titanates(CMT) with dielectric permittivity 15, 20 and 70 and commercial ferrite were produced by Dry Powder Deposition (DPD) method followed by cosintering at elevat...
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In this work, analog application for the sliding mode control (SMC) of piezoelectric actuators is presented. DSP application of the algorithm suffers from ADC and DAC conversions and faces speed limitations. Moreover,...
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In this work, analog application for the sliding mode control (SMC) of piezoelectric actuators is presented. DSP application of the algorithm suffers from ADC and DAC conversions and faces speed limitations. Moreover, piezoelectric actuators are known to have very large bandwidth close to the DSP operation frequency. Therefore, with the direct analog application, improvement of the performance is expected and high frequency operation will be achieved. First an appropriate SMC is designed to have continuous control output and then experimental results for position tracking using DSP and analog application are presented for comparison.
Beta thalassemia patients have a major global impact on health and mortality and are characterized by absence of beta globin chain production. In most patients, multiple blood transfusions can induce differences of im...
Beta thalassemia patients have a major global impact on health and mortality and are characterized by absence of beta globin chain production. In most patients, multiple blood transfusions can induce differences of immune response Therefore, they are often associated with bone marrow expansion and immunodeficiency in terms of lymphocyte subsets and cytokine levels in the peripheral blood and presence of alloantibodies. We have previously shown that children with beta thalassemia major have had decreased NK cells. natural killer (NK) cells are lymphocyte subpopulations that are important effectors of innate immune responses against infectious pathogens and tumor cells. The cytotoxic activity of NK cells is regulated by the equilibrium between positive and negative signals from multiple receptors expressed on their cell surface; signals that can trigger the cytolytic machinery as well as cytokine or chemokine secretion. The activator receptors of NK cells are natural cytotoxicity receptors (NCR) and NKG2D. NCR are represented by NKp46, NKp44, and NKp30. These receptors, upon engagement by their specific ligands, induce a strong activation of NK-mediated cytotoxic activity. NKp44, a triggering receptor selectively expressed by activated NK cells. NK cells can make cytolytic function by regulating pro-inflammatory cytokines as IFN-gamma, TNF-alpha and IL10. This study was carried out to investigate details NK cell function of 27 transfusion-dependent children with beta thalassemia. Data from 18 age- and sex-balanced children served as controls. For this purpose, we analyzed their cytolytic function against K562 cells in both pure NK cells (CD56 + CD16 + CD3 − ) and PBMC. Before and after the assessment of NK activity, we have examined the levels of NK activating receptors expressed on NK cells. The expression levels of the activation receptors (NKp30, NKp44, NKG2D) on CD56 + CD16 + CD3 − NK cells was quantified by multicolour immunofluorescent analysis using flow cytome
Broaching is one of the most recognized machining processes that can yield high productivity and high quality when applied properly. One big disadvantage of broaching is that all process parameters, except cutting spe...
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Broaching is one of the most recognized machining processes that can yield high productivity and high quality when applied properly. One big disadvantage of broaching is that all process parameters, except cutting speed, are built into the broaching tools. Therefore, it is not possible to modify the cutting conditions during the process once the tool is manufactured. Optimal design of broaching tools has a significant impact to increase the productivity and to obtain high quality products. In this paper, an optimization model for broaching design is presented. The model results in a non-linear non-convex optimization problem. Analysis of the model structure indicates that the model can be decomposed into smaller problems. The model is applied on a turbine disc broaching problem which is considered as one of the most complex broaching operations.
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