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An important problem in the field of bioinformatics is to identify interactive effects among profiled variables for outcome prediction. In this paper, a logistic regression model with pairwise interactions among a set of binary covariates is considered. Modeling the structure of the interactions by a graph, our goal is to recover the interaction graph from independently identically distributed (i...
MicroRNAs (miRNAs) are small non-coding RNAs which cause target genes degradation or translational inhibition. Constructing functional miRNAs regulatory module can be a significant step towards the discovery of their regulatory roles in various development programs. In this paper, we present a Correlated Correspondence Regulatory Module model which builds on modified Correlated Topic Model (CTM)....
Powdery mildew (PM) is a typical disease in winter wheat which causes severe yield loss in China. To control the disease effectively, it is important to develop a disease forecasting model at a regional scale. In this study, the remotely sensed data that reflect crop vigor and habitat traits were adopted as candidate inputs in model development, including various vegetation indices, land surface temperature...
The social security administrations have to evaluate the degree of disability to offer compensation to those workers who suffer from a continuous alteration of health preventing them from continuing their work. Thanks to the accurate model of classification of disability presented in this paper, it is possible to obtain an approximation of the expected result for each case of disability prior to an...
Statistics plays an important role in many areas especially in classification tasks. Logistic Regression Model is one popular technique to solve problems, in particular, medical problems. P-Thalassemia, a common genetic disorder, lends itself to is interesting for using MLR to classify types of P-Thalassemia. There are several types of Thalassemia in the world, especially Thailand. From many methods...
Quick and accurate response to the relief demand is vital to an emergency logistics network under disaster spreading. In this paper, we first characterize the disaster spreading process to forecast the time-varying relief demand, by using an epidemic model to analyze the relationships among three groups of affected individuals. Then, a new three-tiered emergency logistics network equilibrium model...
This paper begins the analysis of optimal control of emergency response logistics under a bioterror attack in the case of anthrax, which is a hybrid system consisting of a continuous-time dynamics and a resetting dynamics. The necessary conditions for time-optimal hybrid control are given, based on the calculus of variations and dynamic programming. A gradient algorithm is implemented and used to...
To research the collaborative relationship between the epidemic diffusion network and the emergency rescue network, the SIR model with pulse vaccination is introduced, in which the quantity of vaccinated individuals can be calculated if the vaccinated rate is established. Based on the SIR model, the rescue model is formulated for the purpose of satisfying the demand and reducing the total rescue cost...
With the threat of global bioterrorism, it is necessary to establish a scientific and reasonable system of emergency rescue supplies reserves and distribution, which can be benefit to form an effective emergency logistics network, to shorten the radius of emergency rescue. In the anti-bioterrorism system, a system of emergency service in a supply chain can be formed from the reserve and distribution...
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