One of the most complex questions in noise biology is how to manage noise sources and their subsequent consequences for cell function. Noise in genetic networks is inevitable, as chemical reactions are of a probabilis...
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ISBN:
(纸本)9780889869226
One of the most complex questions in noise biology is how to manage noise sources and their subsequent consequences for cell function. Noise in genetic networks is inevitable, as chemical reactions are of a probabilistic nature and many genes, mRNA and protein molecules are present in variable numbers per cell. Previous research focused on counting numbers of the above present by using experimental fluorescent techniques, or by using theoretical characterization of the probability distribution of mRNA and protein numbers in cells. In this work, we propose a new mathematical model to capture the dynamic of the number of mRNA and protein molecules over time, and develop a computational method to extract noise-related information in biological systems. Our approach helps answer the question of how the number of mRNA and protein molecules change in each cell of a population over time. Further, we calculate the noise uncertainty (entropy) of the biological system: this turns out to be important information for prediction. We also observe that the proposed approach for capturing noise in the system is efficient, allowing us to test ideas of how noise information is generated and expanded.
This paper introduces Intelligent Information System for Monitoring and Verification of Energy Management in Cities (ISEMIC) web application that connects processes of gathering data on buildings and their energy and ...
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As for ECG auto-diagnosis, Classification accuracy is a vital factor for providing diagnosis decision support in remote ECG diagnosis. The final accuracy depends on ECG preprocessing process, feature extraction, featu...
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Animals use stochastic search strategies to find a potential nest or to localize the food source. Animals do not rely much on the environmental cues or their sensory inputs. Since their cognitive capabilities are rath...
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The winding system of high voltage machines is usually composed of pre-formed coils. To facilitate the winding fitting process stator slots are usually wide opened. These wide opened slots are known to cause disturban...
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The current state of the world economy has made Software-As-A-Service (SaaS) an appealing concept for organizations with a small budget for IT infrastructure investment. In a SaaS setup, companies subscribe software a...
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In the two-stage capacitated facility location problem a single product is produced at some plants in order to satisfy customer demands. The product is transported from these plants to some depots and then to the cust...
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For both regulated and deregulated electric power markets, due to the integration of renewable energy generation and uncertain demand, a large amount of spinning reserve is required to maintain the reliability of the ...
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ISBN:
(纸本)9780983762416
For both regulated and deregulated electric power markets, due to the integration of renewable energy generation and uncertain demand, a large amount of spinning reserve is required to maintain the reliability of the power systems in traditional approaches. In this paper, we propose a two-stage robust integer programming model to address the unit commitment (UC) problem under both supply and demand uncertainty. In our approach, uncertain problem parameters are assumed to be within a given polyhedral uncertainty set. We analyze solution schemes to solve this problem that include an exact solution approach, and an efficient heuristic approach that provides a tight lower bound for the general robust UC problem. The final computational experiments on a modified IEEE 118-bus system verify the effectiveness of our approaches, as compared to the worst-case scenario generated by the nominal model without considering the uncertainty.
Psoriasis is a common skin disease with no known cure. It is both subjective and time consuming to evaluate the severity of psoriasis lesions using manual methods. More objective automated methods are in great demand ...
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This paper describes our coreference resolution system for the CoNLL-2012 shared task. Our system is based on the Stanford's dcoref deterministic system which applies multiple sieves with the order from high preci...
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