نتایج جستجو برای: روش ubc

تعداد نتایج: 370759  

Journal: :Studies in health technology and informatics 2009
Ronald S. Joe André Kushniruk Elizabeth M. Borycki Brian Armstrong Tony Otto Kendall Ho

This paper describes the implementation of an Electronic Medical Record (EMR) which has been redesigned specifically for the purposes of teaching medical and other health professional students. Currently available EMR software is designed specifically for use in actual practice settings and not for the needs of students and educators. The authors identified many unique requirements of an EMR in...

2004
Daniel Pauly

[Following the workshop where the above was presented, Dr Carl Walters of the Fisheries Centre, UBC, developed an approach now implemented as an ECOPATH II subroutine called ECOSIM, which reexpresses the linear equation system that the ECOPATH approach relies on, into a system of differential equations which can be integrated over time (Walters et aI1996). Thus, once an ECOPATH II model is cons...

1994
Ross Ortega

A real-time system must be not only functionally correct, but also temporally correct. With the trend of real-time applications being used in safety critical situations, the ability to predict the timing properties of such systems is becoming more important than ever. This paper examines some of the general issues involved in making timing predictions with the focus on shared resources and inte...

2009
Peter G. Hawkins Sharon Santoso Christopher Adams Vasiliki Anest Kevin V. Morris

Small RNAs targeted to gene promoters in human cells can mediate transcriptional gene silencing (TGS) by directing silent state epigenetic modifications to targeted loci. Many mechanistic details of this process remain poorly defined, and the ability to stably modulate gene expression in this manner has not been explored. Here we describe the mechanisms of establishment and maintenance of long-...

2001
Keith Head John Ries Barbara J. Spencer

In a model where upstream network insiders conduct relationship-specific investment, downstream firms have an incentive to transact within networks. Evidence from US auto parts exports to 26 auto-producing countries supports key predictions of the model. Greater production scale for assemblers lowers imported parts per car. Vertical networks matter in two ways. First, although Japan’s average i...

2014
Tianping Chen Huiping Wang Zhiqiang Zhang Qing Li Kaili Yan Qianshan Tao Qianling Ye Shudao Xiong Yiping Wang Zhimin Zhai

Regulatory T cells (Tregs) play an essential role in sustaining self-tolerance and immune homeostasis. Despite many studies on the correlation between Tregs accumulation and age, or malignancies, the related mechanism hasn't been well explored. To find out the mechanism of Tregs accumulation in aged urinary bladder cancer, we examined the novel cellular senesence gene SENEX and relevant apoptos...

Journal: :Journal of Neurochemistry 2021

In situ hybridization (ISH) is a powerful tool that can be used to localize mRNA expression in tissue samples. Combining ISH with immunohistochemistry (IHC) determine cell type provides cellular context of expression, which cannot achieved gene microarray or polymerase chain reaction. To study and protein on the same section we investigated use RNAscope® combination fluorescent IHC paraffin-emb...

Journal: :Journal of neurochemistry 2013
Jörg Hanrieder Titti Ekegren Malin Andersson Jonas Bergquist

Amyotrophic lateral sclerosis (ALS) is a devastating, rapidly progressing disease of the central nervous system that is characterized by motor neuron degeneration in the brainstem and the spinal cord. Matrix-assisted laser desorption/ionization (MALDI) imaging mass spectrometry is an emerging powerful technique that allows for spatially resolved, comprehensive, and specific characterization of ...

Journal: :CoRR 2015
B. G. Vijay Kumar Gustavo Carneiro Ian D. Reid

Recent innovations in training deep convolutional neural network (ConvNet) models have motivated the design of new methods to automatically learn local image descriptors. The latest deep ConvNets proposed for this task consist of a siamese network that is trained by penalising misclassification of pairs of local image patches. Current results from machine learning show that replacing this siame...

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