A multi-task learning CNN for image steganalysis

Convolutional neural network (CNN) based image steganalysis are increasingly popular because of their superiority in accuracy. The most straightforward way to employ CNN for image steganalysis is to learn a CNN-based classifier to distinguish whether secret messages have been embedded into an image. However, it is difficult to learn such a classifier because of the weak stego signals and the limited useful information. To address this issue, in this paper, a multi-task learning CNN is proposed. In addition to the typical use of CNN, learning a CNN-based classifier for the whole image, our multi-task CNN is learned with an auxiliary task of the pixel binary classification, estimating whether each pixel in an image has been modified due to steganography. To the best of our knowledge, we are the first to employ CNN to perform the pixel-level classification of such type. Experimental results have justified the effectiveness and efficiency of the proposed multi-task learning CNN

Enhanced Long‐Term Luminescent Stability through Near‐Single‐Dot Passivation and Encapsulation of Perovskite Quantum Dots for Printable Photonics

Metal halide perovskites quantum dots (QDs) stand at the forefront of multifarious photonic applications, including micro‐light‐emitting diode and further augmented reality, virtual reality, and other novel display, lighting technologies. Barriers to applications, however, lie in their toxicity of lead, instability to light, moisture and heat, and processability at the nanoscale‐particle level. Herein, a simple and versatile postprocessing approach is reported for the near‐single‐dot passivation and encapsulation of representative lead‐free double perovskite Cs2Ag0.4Na0.6InCl6:Bi through liquid‐phase processing of perhydropolysilazane and quantum dots colloid with controllable hydrolysis curing. The conventional unstable oleylamine and oleic acid ligands are replaced by ‐NCl bonding on the surface of nanocrystal, accompanied by the resulting compact and robust silica layer without compromising the optical properties of the quantum dots. With the near‐single‐dot protection, the quantum dots do not show fluorescence quenching even when stored for more than 90 days and exhibit remarkably improved stability against heat, ultraviolet irradiation and humidity compared to the raw quantum dots. The strategy offers a versatile way of creating nanoscale‐particle level protection of luminescent quantum dots, and can be universally compatible with solution‐based patterning techniques and photonics applications where quantum dots are used

Myocardial scaffold-based cardiac tissue engineering: Application of coordinated mechanical and electrical stimulations

Recently, we developed an optimal decellularization protocol to generate 3D porcine myocardial scaffolds, which preserve the natural extracellular matrix structure, mechanical anisotropy, and vasculature templates and also show good cell recellularization and differentiation potential. In this study, a multistimulation bioreactor was built to provide coordinated mechanical and electrical stimulation for facilitating stem cell differentiation and cardiac construct development. The acellular myocardial scaffolds were seeded with mesenchymal stem cells (106 cells/mL) by needle injection and subjected to 5-azacytidine treatment (3 μmol/L, 24 h) and various bioreactor conditioning protocols. We found that after 2 days of culturing with mechanical (20% strain) and electrical stimulation (5 V, 1 Hz), high cell density and good cell viability were observed in the reseeded scaffold. Immunofluorescence staining demonstrated that the differentiated cells showed a cardiomyocyte-like phenotype by expressing sarcomeric α-actinin, myosin heavy chain, cardiac troponin T, connexin-43, and N-cadherin. Biaxial mechanical testing demonstrated that positive tissue remodeling took place after 2 days of bioreactor conditioning (20% strain + 5 V, 1 Hz); passive mechanical properties of the 2 day and 4 day tissue constructs were comparable to those of the tissue constructs produced by stirring reseeding followed by 2 weeks of static culturing, implying the effectiveness and efficiency of the coordinated simulations in promoting tissue remodeling. In short, the synergistic stimulations might be beneficial not only for the quality of cardiac construct development but also for patients by reducing the waiting time in future clinical scenarios. © 2013 American Chemical Society

Structural and biomechanical characterizations of porcine myocardial extracellular matrix

Extracellular matrix (ECM) of myocardium plays an important role to maintain a multilayered helical architecture of cardiomyocytes. In this study, we have characterized the structural and biomechanical properties of porcine myocardial ECM. Fresh myocardium were decellularized in a rotating bioreactor using 0.1 % sodium dodecyl sulfate solution. Masson\u27s trichrome staining and SEM demonstrated the removal of cells and preservation of the interconnected 3D cardiomyocyte lacunae. Movat\u27s pentachrome staining showed the preservation of cardiac elastin ultrastructure and vascular elastin distribution/ alignment. DNA assay result confirmed a 98.59 % reduction in DNA content; the acellular myocardial scaffolds were found completely lack of staining for the porcine a-Gal antigen; and the accelerating enzymatic degradation assessment showed a constant degradation rate. Tensile and shear properties of the acellular myocardial scaffolds were also evaluated. Our observations showed that the acellular myocardial ECM possessed important traits of biodegradable scaffolds, indicating the potentials in cardiac regeneration and whole heart tissue engineering. © 2012 Springer Science+Business Media, LLC