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Nanomaterials exhibit unique optical phenomena, in particular excitonic quantum processes occurring at room temperature. The low dimensionality, however, imposes strict requirements for conventional optical excitation, and an approach for bypassing such restrictions is desirable. Here we report on exciton transfer in carbon-nanotube/tungsten-diselenide heterostructures, where band alignment can be systematically varied. The mixed-dimensional heterostructures display a pronounced exciton reservoir effect where the longer-lifetime excitons within the two-dimensional semiconductor are funneled into carbon nanotubes through diffusion. This new excitation pathway presents several advantages, including larger absorption areas, broadband spectral response, and polarization-independent efficiency. When band alignment is resonant, we observe substantially more efficient excitation via tungsten diselenide compared to direct excitation of the nanotube. We further demonstrate simultaneous bright emission from an array of carbon nanotubes with varied chiralities and orientations. Our findings show the potential of mixed-dimensional heterostructures and band alignment engineering for energy harvesting and quantum applications through exciton manipulation., Comment: 9 pages, 4 figures

Microstructural analysis with electron backscatter diffraction (EBSD) involves sectioning and polishing to create a flat and preparation-artifact free surface. The quality of EBSD analysis is often dependant on this step, and this motivates us to explore how broad ion beam (BIB) milling can be optimised for the preparation of zircaloy-4 with different grain sizes. We systematically explore the role of ion beam angle, ion beam voltage, polishing duration and polishing temperature and how this changes the surface roughness and indexing quality. Our results provide a method to routinely prepare high-quality Zircaloy-4 surfaces, and methods to optimise BIB polishing of other materials for high-quality EBSD studies.

Background: Epithelial-myoepithelial carcinoma is a very rare carcinoma that both luminal and myoepithelial components are malignant. What’s more, HER2 gene amplification has not been detected in the literature up to now. Herein, we report a rare case of breast epithelial-myoepithelial carcinoma with HER2 gene amplification.Case presentation: An 80-year-old woman presented with a mass in the upper outside region of her left breast. The core needle biopsy of the left breast mass revealed invasive breast carcinoma, and then modified radical mastectomy of left breast was performed. Macroscopically, the tumor was measured 6cm in diameter, and it was a solid and lobulated mass with areas of cystic and hemorrhagic lesions. Microscopically, the histological findings of tumor were consisted of 3 components. One component showed biphasic proliferation of both eosinophilic luminal epithelial and pale abluminal myoepithelial cells, arranging predominantly in dilated tubular architecture, which accounted for most of the lesion. Papillary architecture and eosinophilic secretions could be seen in some dilated ducts. The second component was proliferation of myoepithelial cells with pale cytoplasm around the glandular epithelium forming casing-like structures. The third component was few solid-appearing areas which was displayed a predominance of monophasic proliferation of myoepithelial cells. Both cell types exhibited enlarged and markedly atypical nuclei, with obvious nucleoli and prominent mitoses (up to 10-15/10 high power fields). Foci of infiltration were identified at the periphery of the lobules and the surrounding adipose tissue. Areas of central necrosis and stromal hyalinization could be seen. A diagnosis of EMC was made by morphology and immunohistochemistry. It's worth noting that HER2 gene amplification has not been detected in malignant adenomyoepitheIioma in the literature up to now; While in our present report, HER2 was 2+ membranous immunoreactivity, and then HER2 gene amplification was detected by fluorescence in situ hybridization. Conclusion: Accurate diagnosis of malignant adenomyoepitheIioma is challenging but of great importance, and the management of malignant adenomyoepitheIioma would be made according to histologic features.

Traditional anthropometric evaluation needs professional measuring tools and operations, which is time- consuming, expensive, and not suitable for virtual try-on. As the mobile internet develops, the issue of human body reconstruction toward virtual try-on needs to be solved. This paper proposes a rapid human body reconstruction method for virtual try-on based on Multidimensional Dense Net (MDD-Net) on mobile terminal. MDD-Net takes the input of fusion features acquired by mobile as input and outputs 3D human body model to mobile supporting for virtual try-on. In the learning fuzzy anthropometric feature module, the example-guided fuzzy anthropometric feature matrix is acquired and default coding elements are interpolated. In the learning multi-perspective silhouette feature module, the fine human body shape features are learned based on DenseNet201. A corresponding fusion feature data set based on SMPL also is generated for MDD-Net training. In the experiments, without append fault-tolerant training samples, on the segmentation noise, nonstandard pose, and perspective error test set, the predicted accuracy of MDD-Net is improved by 13.34%, 55.77%, 34.6% and 43.4%, 37.2%, 9.0% respectively compared to Hs-Net and BfSNet proving its robust with the impact of uncertain positions and poses. And MDD-Net has a small error and standard deviation on critical anthropometric features explaining the effectiveness of our method.

The raw image data from the Acoustic Daylight Ocean Noise Imaging System (ADONIS) consist of only 126 pixels, arranged in an elliptical shape of major and minor axes 14×11 pixels. An estimator is presented which produces higher spatial resolution from these raw images using a maximum‐likelihood estimator (MLE) coupled with a point‐spread function model of the imaging system. The technique converges iteratively on a constrained MLE of the intensity distribution in each image frame. The MLE performs better than traditional interpolation methods. The estimator is also extended to constructing improved images from a sequence of image frames, from which the relative values and convergence rates of different frequency components becomes apparent. Examples of the technique are presented for both simulated and experimental data taken from a deployment of the ADONIS system. [Work funded by NUS and DSO, Singapore. ADONIS data provided by Scripps Institution of Oceanography.]