OALib Journal期刊

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匹配条件: “L. Chambers” ,找到相关结果约208243条。
Evaluation of the Power Generation Capacity of Hydrokinetic Generator Device Using Computational Analysis and Hydrodynamic Similitude  [PDF]
Oladapo S. Akinyemi, Terrence L. Chambers, Yucheng Liu
Journal of Power and Energy Engineering (JPEE) , 2015, DOI: 10.4236/jpee.2015.38007
Abstract: This paper presents a similitude and computational analysis of the performance of a scaled-down model of a paddle wheel style hydrokinetic generator device used for generating power from the flow of a river. The paddle wheel dimensions used in this work are one-thirtieth scale of the full-size paddle wheel. The reason for simulating the scaled-down model was to prepare for the testing of a scaled-down physical prototype. Computational Fluid Dynamics using ANSYS Fluent 14.0 software was used for the computational analysis. The scaled-down dimensions were used in the simulations to predict the power that can be generated from the scaled size model of the paddle wheel, having carried out similitude analysis between the scaled down size and its full-size. The dimensionless parameters employed in achieving similitude are the Strouhal number, power coefficient, and pressure coefficient. The power estimation of the full-size was predicted from the scaled size of the paddle wheel based on the similitude analysis.
Operasyonel Risk Y netimi'nde Zarar Da l mlar ile Geli mi l üm Yakla m Uygulamas = Advanced Measurement Approach with Loss Distribution in Operational Risk Management
Nurgül CHAMBERS,Atilla ??FTER
Dogus University Journal , 2007,
Abstract: According to the last proposal by Basel Committee, commercial banks are allowed to use advanced measurement approach for operational risk. Since basic indicator and standard approach considers operational risk as a percentage of gross profit, these methodologies are not satisfactory as real lost or probability of lost are not taken into consideration. In this article, loss distribution approach is applied with simulated data. 20 nonparametric loss distributions and mixing internal and external data with loss distribution are applied. We introduced switching distribution Approach in loss distribution approach. We also found that %99.9 confidence interval is inapplicable in unexpected loss (UL) for sophisticated distributions (same as BIS [2004] foresight) and advised to choose confidence interval between %99.0 and %99.5.
Comment on Article by Ferreira and Gamerman
Noel Cressie,Raymond L. Chambers
Statistics , 2015, DOI: 10.1214/15-BA944B
Abstract: A utility-function approach to optimal spatial sampling design is a powerful way to quantify what "optimality" means. The emphasis then should be to capture all possible contributions to utility, including scientific impact and the cost of sampling. The resulting sampling plan should contain a component of designed randomness that would allow for a non-parametric design-based analysis if model-based assumptions were in doubt. [arXiv:1509.03410]
Models, AmI-Creator and A-Methodology for Ambient Intelligence Environments  [PDF]
Anna Chambers
Journal of Software Engineering and Applications (JSEA) , 2014, DOI: 10.4236/jsea.2014.74030

The current paper introduces an approach to a development of Ambient Intelligence domain-based software systems from scratch. The presented approach is based on models. The paper also presents the domain-related models expressing different levels of abstractions and stages of the development. The approach refers to a Model-Driven Development of Ambient Intelligence which was suggested at AmI-07-Ambient Intelligence conference. The approach is presented as a standard with its feasible realization. It starts from modeling of a content of the future AmI-dedicated software system and concludes by mapping the graphical concepts into a final code. A process proving feasibility and correctness of the approach is provided through a dedicated research methodology. Its process comprises an identification of needs in a speedy development of the systems. It is followed by studying of the currently available techniques capable of supporting the development and an experimenting with them. It continues by finding a solution, verified by its validation and concludes by an identification of the further perspectives. The developed approach presents a common way of a communication amongst stakeholders participating in creating of AmI-based environments. Such communication involves the notations of AmI-Creator—a Domain-Specific Language of Ambient Intelligence domain. Every part of DSL corresponds to a demonstration of A-methodology expressing a step-by-step guidance for the development. The methodology comprises two parts dedicated to providing semantics for DSL through studying of Ambient Intelligence domain ontology; and development of actual environments. A validity of the working proposition is confirmed by three examples. The further challenges refer to an extension of the presented work by other frameworks and expansion to a development of different domains with complex organizations.

Application of a Bioinformatics-Based Approach to Identify Novel Putative in vivo BACE 1 Substrates
Joseph L. Johnson, Emily Chambers and Keerthi Jayasundera
Biomedical Engineering and Computational Biology , 2012, DOI: 10.4137/BECB.S8383
Abstract: BACE1, a membrane-bound aspartyl protease that is implicated in Alzheimer’s disease, is the first protease to cut the amyloid precursor protein resulting in the generation of amyloid β and its aggregation to form senile plaques, a hallmark feature of the disease. Few other native BACE1 substrates have been identified despite its relatively loose substrate specificity. We report a bioinformatics approach identifying several putative BACE1 substrates. Using our algorithm, we successfully predicted the cleavage sites for 70% of known BACE1 substrates and further validated our algorithm output against substrates identified in a recent BACE1 proteomics study that also showed a 70% success rate. Having validated our approach with known substrates, we report putative cleavage recognition sequences within 962 proteins, which can be explored using in vivo methods. Approximately 900 of these proteins have not been identified or implicated as BACE1 substrates. Gene ontology cluster analysis of the putative substrates identified enrichment in proteins involved in immune system processes and in cell surface protein-protein interactions.
Application of a Bioinformatics-Based Approach to Identify Novel Putative in vivo BACE 1 Substrates
Joseph L. Johnson,Emily Chambers,Keerthi Jayasundera
Biomedical Engineering and Computational Biology , 2013,
Demonstration of Pilot Scale Large Aperture Parabolic Trough Organic Rankine Cycle Solar Thermal Power Plant in Louisiana  [PDF]
Jonathan R. Raush, Terrence L. Chambers, Ben Russo, Kenneth A. Ritter III
Journal of Power and Energy Engineering (JPEE) , 2013, DOI: 10.4236/jpee.2013.17006
Abstract: During the calendar year of 2012 the University of Louisiana at Lafayette in conjunction with CLECO Power LLC (CLECO) has constructed and commissioned a pilot scale parabolic trough solar thermal power plant for the first time in Louisiana. The large aperture trough (LAT) solar collectors were provided by Gossamer Space Frames and are coupled with an organic Rankine cycle (ORC) power block provided by ElectraTherm, Inc. for study of the feasibility of cost-effective commercial scale solar thermal power production in Louisiana. Supported by CLECO and providing power to the existing CLECO grid, the implementation of state-of-the-industry collector frames, mirrors, trackers, and ORC power block is studied under various local weather conditions which present varied operating regimes from existing solar thermal installations. The solar collectors provide a design output of 650 kWth and preliminary actual performance data from the system level is presented. The optimal size, configuration and location for such a plant in the given solar resource region are being studied in conjunction with CLECO’s search for optimal renewable energy solutions for the region. The pilot scale size of the facility and implementation of the simpler ORC allow remote operation of the facility and flexibility in operating parameters for optimization studies. The construction of the facility was supported by the Louisiana Department of Natural Resources, the U.S. Department of Energy, and CLECO. The continued operation of the plant is supported by CLECO Power LLC and the University of Louisiana at Lafayette.
Modelling the interactions of mixtures of organophosphorus insecticides with cholinesterase
Russell. L. Carr,Howard W. Chambers,Janice E. Chambers,Seth F. Oppenheimer
Electronic Journal of Differential Equations , 2003,
Abstract: The organophosphorus (OP) insecticides are one of the most widely used and important insecticide classes. These insecticides exert toxicity through inhibition of the critical nervous system enzyme cholinesterase (ChE) which functions to rapidly destroy the ubiquitous neurotransmitter acetylcholine. When ChE is inhibited, the acetylcholine accumulates, causing hyperactivity within the cholinergic pathways. Considerable effort has gone into assessing the risks of various OP insecticides. Unfortunately, people are often exposed to different OP insecticides in different dosages at different or overlapping times. The usual statistical methods seem inadequate to the task of assessing the effect of OP mixtures. This paper will discuss a simple model using systems of ordinary differential equations. Using this model, we have had success in predicting the effect of cumulative in vitro OP compound exposure in terms of ChE inhibition using data from experiments measuring ChE inhibition by a single OP compound. We will describe our model and compare our simulations to in vitro experiments where binary mixtures have been used.
Tumour dormancy in breast cancer: an update
Muriel Brackstone, Jason L Townson, Ann F Chambers
Breast Cancer Research , 2007, DOI: 10.1186/bcr1677
Abstract: Breast cancer remains the leading cancer diagnosis among women in the western world. With ever-improving chemotherapeutic, radiation and hormonal treatments, clinicians have seen an improvement in overall survival, leading to increasing numbers of patients living with breast cancer [1]. Due in part to these advances, breast cancer, and in particular early breast cancer, appears to behave increasingly akin to a chronic disease [2]. Patients who have distant or regional metastasis at the time of diagnosis have poor clinical outcomes in terms of early distant disease and subsequent death from breast cancer. However, scientists and clinicians alike have become intrigued with the finding that many patients who are diagnosed at an early stage, with small tumours and no evidence of regional lymph node metastases, can have a high level of recurrence when followed for greater than 10 to 15 years, in excess of 25% to 30% [2,3]. In such patients who are estrogen receptor positive, for example, more patients recur after completing five years of hormonal therapy, such as tamoxifen, than they do in the first five years [1]. These findings suggest that perhaps our understanding of the biology of breast cancer recurrence and the implications for tumour dormancy research should be reviewed in the setting of current clinical treatments for breast cancer, and the biology of tumour response to these treatments.When using the term 'tumour dormancy' in this review, we are referring to breast cancers that become clinically evident following a prolonged disease-free interval. Although there is no strict definition to the time interval between initial treatment and disease recurrence, many publications have noted disease-free intervals in excess of five to six years. In the literature published to date in the field of tumour dormancy in breast cancer, two prominent authors have contributed significantly to the field: Demicheli [4-7] and Karrison [8,9].Demicheli and colleagues [7] have studi
Colonoscopic screening for colorectal cancer improves quality of life measures: a population-based screening study
Doug Taupin, Sharon L Chambers, Mike Corbett, Bruce Shadbolt
Health and Quality of Life Outcomes , 2006, DOI: 10.1186/1477-7525-4-82
Abstract: Asymptomatic male and female participants aged 55–74 years were randomly selected from the Australian Electoral Roll or six primary care physicians' databases. Participants completed the Short-Form (SF-36) Quality of Life Assessment at baseline and at a mean of 39 days after colonoscopy. Outcome measures were (i) significant changes in raw scores in any of the eight SF-36 domains assessed following colonoscopic screening and (ii) improvements or declines in previously validated categories, representing clinically significant changes, within any of the eight SF-36 domains.Baseline QOL measures were similar to those of a matched general population sample. Role Limitations due to Emotions, Mental Health and Vitality raw scores significantly improved following colonoscopy (P < 0.05, 2-tailed t-test). Health ratings according to Category were similar (same clinical status) in the majority of participants. However, 30% participants recorded clinically significant improvement in the Mental Health and Vitality domains (P < 0.05, Wilcoxon Signed-Ranks test). This improvement was not offset by declines in other domains or in other participants. Improvement in QOL was not related to colonoscopy results.Average-risk persons benefit significantly from colon cancer screening with colonoscopy, improving in Mental Health and Vitality domains of Quality of Life. This improvement is not offset by declines in other domains.Colorectal cancer is a common disease with a long lead-time and easily recognised precursor lesions, making screening a rational and effective means of prevention. Colonoscopy from age 50 is accepted as an accurate and cost-effective screening modality of colorectal cancer screening, but is not yet the 'preferred' strategy [1,2].The act of screening asymptomatic individuals for cancer or precancerous lesions may result in health consequences, even in those not found to be screen-positive. Potential consequences include increased anxiety, reported among participants

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