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The short allele of the serotonin-transporter gene is associated with higher risk for anxiety and depression in Caucasians, but this association is still unclear in Asians. Here, we addressed this issue using behavioral and multi-modal MRI approaches in a large group of healthy Han Chinese participants (n = 233). In contrast to findings in Caucasians, we(More)
The single nucleotide polymorphism (SNP) that leads to a valine-to-methionine substitution at codon 66 (Val66Met) in BDNF is correlated with differences in cognitive and memory functions, as well as with several neurological and psychiatric disorders. MRI studies have already shown that this genetic variant contributes to changes in cortical thickness and(More)
Nowadays with the readily accessibility of online social networks (OSNs), people are facilitated to share interesting information with friends through OSNs. Undoubtedly these sharing activities make our life more fantastic. However, meanwhile one challenge we have to face is information overload that we do not have enough time to review all of the content(More)
Multiple sequence alignment (MSA) is a fundamental and challenging problem in the analysis of biologic sequence. The MSA problem is hard to be solved directly, for it always results in exponential complexity with the scale of the problem. In this paper, we present a novel algorithm of binary particle swarm optimization (BPSO) for MSA solving. The approach(More)
BACKGROUND Functional connectivity in default mode network (DMN) may be changed in Alzheimer's disease (AD) patients and related risk populations, such as amnestic mild cognitive impairment (aMCI) patients and APOE ε4 carriers. Exploring DMN changes and related behavioral performance of APOE ε4 population might provide valuable evidence for better(More)
Metabolic flux estimation through 13C trace experiment is crucial for metabolic system to quantify the intracellular metabolic fluxes. In essence, it corresponds to a constrained optimization problem, objective function of which is non-linear and non-differentiable and exist multiple local minima making this problem a special difficulty. In this paper, we(More)
Segmentation of the masseter muscle is one of the most important bases for diagnosis and treatment, but automatical segmentation of masseter is very difficult as the masseter and its adjacent tissues have very similar gray levels. In this paper, a novel method is presented to segment the masseter in MRI images, which modifies the distance regularized level(More)