LingJun Zhang

Community structure is one of the most important properties in social networks, and community detection has received an enormous amount of attention in recent years. In dynamic networks, the communities may evolve over time so that pose more challenging tasks than in static ones. Community detection in dynamic networks is a problem which can naturally be formulated with two contradictory objectives and consequently be solved by multiobjective optimization algorithms. In this paper, a ...

AIM: To test the therapeutic effects of delayed treatment of mesenchymal stem cells (MSCs) in recurrent experimental autoimmune uveitis (rEAU).

METHODS: The efficacy of different regimens of MSC administration in rEAU were tested by evaluation of clinical and pathological intraocular inflammation, as well as retinal structural and functional integrity using optical coherence tomography (OCT) and electroretinogram (ERG). The retinal sections were also immunostained with antibodies to ...

Background: Stapedotomy has been proved to be one of the most efficient procedure to treat otosclerosis, various factors contribute to the diversity of the outcomes and controversial results exist from previous studies. Objectives: We evaluated clinical characteristics and outcomes of stapedotomy, as well as possible predictive factors of a successful outcome. Materials and methods: This retrospective study evaluated 58 ears from 48 patients with demographic data, plus short-term ...

BackgroundAlthough the use of direct oral anticoagulants (DOACs) has been reported in patients with atrial fibrillation (AF), there is currently no consensus on the occurrence or characteristics of the hemorrhage risk in different antithrombotic regimens.MethodsDisproportionality and Bayesian analyses were performed in mining data of suspected hemorrhagic events after antithrombotic drug use from the FDA Adverse Event Reporting System (FAERS) from January 2004 to September 2019. The time ...

The curse of dimensionality, caused by high-dimensionality gene and small-size sample of gene expression dataset, may degrade the accuracy of tumor classification. To solve the issue, in this paper, the neighborhood rough set theory is introduced, and through expanding neighborhood threshold, the relative neighborhood rough set theory is proposed. Some corresponding theorems are drawn, and a gene selection algorithm of multi-class problem, by combining ReliefF and relative neighborhood ...