Convolutional Neural Network Based on Extreme Learning Machine for Maritime Ships Recognition in Infrared Images.

The success of Deep Learning models, notably convolutional neural networks (CNNs), makes them the favorable solution for object recognition systems in both visible and infrared domains. However, the lack of training data in the case of maritime ships research leads to poor performance due to the problem of overfitting. In addition, the back-propagation algorithm used to train CNN is very slow and requires tuning many hyperparameters.

GC analysis of black gel pen ink stored under different conditions.

In many criminal and civil cases in China, the most commonly questioned documents are those written with gel pen ink. An important task for forensic document examiners is to identify whether two or more ink entries in one or more documents were written with the same ink type. The identification of the age of gel ink entries made poses an important and difficult problem for forensic document examiners.

Investigation of thrombospondin-1 and transforming growth factor-β expression in the heart of aging mice.

Elderly patients face the problems of morbidity and mortality due to age-mediated disabilities. The purpose of the present study was to investigate the expression of thrombospondin-1 (TSP-1) and transforming growth factor-β (TGF-β) in aging mice, and its probable mechanism in the pathological changes of aging myocardium. The aging model group (AM) comprised 30-month-old mice, while the control group comprised 2-month-old mice.

Concentration-dependent modulation of amyloid-beta in vivo and in vitro using the gamma-secretase inhibitor, LY-450139.

LY-450139 is a gamma-secretase inhibitor shown to have efficacy in multiple cellular and animal models. Paradoxically, robust elevations of plasma amyloid-beta (Abeta) have been reported in dogs and humans after administration of subefficacious doses. The present study sought to further evaluate Abeta responses to LY-450139 in the guinea pig, a nontransgenic model that has an Abeta sequence identical to that of human.

Gene expression analysis in a transgenic Caenorhabditis elegans Alzheimer's disease model.

We have engineered transgenic Caenorhabditis elegans animals to inducibly express the human beta amyloid peptide (Abeta). Gene expression changes resulting from Abeta induction have been monitored by cDNA hybridization to glass slide microarrays containing probes for almost all known or predicted C. elegans genes.

Engineering autoactivating forms of matrix metalloproteinase-9 and expression of the active enzyme in cultured cells and transgenic mouse brain.

Matrix metalloproteinases (MMPs) are hypothesized to play an important role in the pathogenesis of several central nervous system disorders. Increased levels of expression of MMP-9 (gelatinase B) and MMP-2 (gelatinase A) have been observed in Alzheimer's disease, stroke, multiple sclerosis, and amyotrophic lateral sclerosis. This suggests an aberrant regulation of MMPs that could lead to inappropriate expression of MMP activity.