江西省典型水库沉积物碳·氮·磷分布及污染评价

水体富营养化是水库、湖泊水污染问题最为严重的类型之一,为了解江西省水库沉积物的有机物污染水平,笔者测定了江西省15座中型水库沉积物中TP、TN、TOC含量,分析研究其分布特征和来源,并采用有机指数法进行综合评价.成果表明:江西省典型水库沉积物TP、TN总体处于轻度污染状态;在空间分布上,TN、TOC含量总体变幅不大,赣江上游及中游水库沉积物中TP、TN、TOC含量整体较低.TOC/TN比值表明,水生动物和陆地动物是沉积物有机质的主要来源.污染评价成果表明,有机指数IO平均值0.13,总体呈较清洁等级(II级);有机氮WON平均值0.09,总体呈尚清洁等级(III级).     

ASRNet: Adversarial Segmentation and Registration Networks for Multispectral Fundus Images

Multispectral imaging (MSI) technique is often used to capture images of the fundus by illuminating it with different wavelengths of light. However, these images are taken at different points in time such that eyeball movements can cause misalignment between consecutive images. The multispectral image sequence reveals important information in the form of retinal and choroidal blood vessel maps, which can help ophthalmologists to analyze the morphology of these blood vessels in detail. This in turn can lead to a high diagnostic accuracy of several diseases. In this paper, we propose a novel semi-supervised end-to-end deep learning framework called “Adversarial Segmentation and Registration Nets” (ASRNet) for the simultaneous estimation of the blood vessel segmentation and the registration of multispectral images via an adversarial learning process. ASRNet consists of two subnetworks: (i) A segmentation module S that fulfills the blood vessel segmentation task, and (ii) A registration module R that estimates the spatial correspondence of an image pair. Based on the segmention-driven registration network, we train the segmentation network using a semi-supervised adversarial learning strategy. Our experimental results show that the proposed ASRNet can achieve state-of-the-art accuracy in segmentation and registration tasks performed with real MSI datasets.     

A low distortion image enhancement scheme based on multi-resolutions analysis in next generation network

With the advent of Next Generation Network (NGN), services that are currently provided by multiple specific network-centric architectures. NGN provides AAA (Anytime, Anywhere and Always on) access to users from different service providers with consistent and ubiquitous provision of services as necessary. This special issue of NGN includes pervasive, grid, and peer-to-peer computing to provide computing and communication services at anytime and anywhere. In fact, the application of NGN includes digital image processing, multimedia systems/services, and so on. Here we focus on the digital image processing technology in NGN environments. Low-contrast structure and heavy noise in NGN environments can be found in many kinds of digital images, which makes the images vague and uncertainly, especially in x-ray images. As result, some useful tiny characteristic are weakened—which are difficult to distinguish even by naked eyes. Based on the combination of no-linear grad-contrast operator and multi-resolution wavelet analysis, a kind of image enhancement processing algorithm for useful tiny characters is presented. The algorithm can enhance the tiny characters while confine amplifying noise. The analysis of the results shows that local regions of the image are enhanced by using the concept of the grad contrast to make image clearer adaptively. Experiments were conducted on real pictures, and the results show that the algorithm is flexible and convenient.     

Robust stability and stabilization of discrete singular systems with interval time-varying delay and linear fractional uncertainty

The robust stability and robust stabilization problems for discrete singular systems with interval time-varying delay and linear fractional uncertainty are discussed. A new delay-dependent criterion is established for the nominal discrete singular delay systems to be regular, causal and stable by employing the linear matrix inequality (LMI) approach. It is shown that the newly proposed criterion can provide less conservative results than some existing ones. Then, with this criterion, the problems of robust stability and robust stabilization for uncertain discrete singular delay systems are solved, and the delay-dependent LMI conditions are obtained. Finally, numerical examples are given to illustrate the e?ectiveness of the proposed approach.     

IETM技术在便携式工卡系统中的应用研究

从飞机制造的角度出发,以IETM技术为基础,以带Windows 7操作系统的便携式终端为硬件平台,研究开发应用于某机机载机电设备装配指导的交互式电子工卡系统。文中主要介绍了系统设计的背景知识、开发架构和软硬件实现方法,结合XML和SQL数据库技术创作符合GJB6600标准的应用系统。该系统的成功研制和投入使用可将电子信息技术的最新研究成果用于生产实践,既可有效地减轻生产一线工作人员的劳动强度,又能极大地提高飞机数字化制造效率。     

超重力对燃烧合成Ti（C，N）-TiB2复合粉体的影响

以Ti和B4C为起始反应物，分别在常规和超重力条件下通过燃烧合成技术制备出Ti（C,N）-TiB2复合粉体，利用XRD和SEM对燃烧产物进行了表征，研究了起始组成和超重力条件对燃烧产物相组成和微观形貌的影响。结果表明，燃烧产物主要由Ti（C，N）和TiB2组成，通过改变起始配方中Ti／B4C的摩尔比，可以调节产物中Ti（C，N）和TiB2的相对含量。超重力条件下，反应物颗粒接触更加充分，碰撞更加频繁，因而晶粒形态发育更加完整，生成规则的多面体。     

16MnR钢高压除氧器焊接接头裂纹的成因

本文采用电镜，Ｘ射线衍射分析、裂纹扩展速率ｄａ／ｄＮ及门槛值△Ｋｔｈ试验，研究了火力发电厂１６ＭｎＲ钢高压除氧器焊接接头裂纹的形成原因，结果表明，原发裂纹为延迟裂纹，运行工况下，裂纹以应力腐蚀裂纹方式扩展。     

海水淡化耦合技术的发展应用与展望

海水淡化技术主要以低温多效蒸馏(MED)、多级闪蒸(MSF)等为主的热法海水淡化技术和以反渗透(RO)、纳滤(NF)为主的膜法淡化技术两大类.根据海水淡化工程的能源条件及投资,集成多种淡化技术优势形成的耦合工艺是降低海水淡化成本、提高海水淡化效益的有效手段,这已成为大型海水淡化发展的趋势.文中主要介绍了基于MED、MSF、RO、NF等多种淡化耦合工艺在海水淡化领域中应用的研究进展,并讨论了膜-热技术组合的未来发展方向.     

Boosting the Microbial Electrosynthesis of Acetate from CO2 by Hydrogen Evolution Catalysts of Pt Nanoparticles/rGO

Catalysis Letters - Microbial electrosynthesis (MES) is an effective approach to driving the CO2 reduction to multi-carbon organic products using renewable energy. In this work, the MES of acetate...     

Local Epidermal Endocrine Estrogen Protects Human Melanocytes against Oxidative Stress,a Novel Insight into Vitiligo Pathology

As the outermost barrier of the body, skin is a major target of oxidative stress. In the brain, estrogen has been reported synthesized locally and protects neurons from oxidative stress. Here, we explored whether estrogen is also locally synthesized in the skin to protect from oxidative stress and whether aberrant local estrogen synthesis is involved in skin disorders. Enzymes and estrogen receptor expression in skin cells were examined first by quantitative real-time PCR and Western blot analyses. Interestingly, the estrogen synthesis enzyme was mainly localized in epidermal keratinocytes and estrogen receptors were mainly expressed in melanocytes among 13 kinds of cultured human skin cells. The most abundant estrogen synthesis enzyme expressed in the epidermis was 17β-hydroxysteroid dehydrogenase 1 (HSD17β1) localized in keratinocytes, and the most dominant estrogen receptor expressed in the epidermis was G protein-coupled estrogen receptor 1 (GPER1) in melanocytes. To investigate whether keratinocyte-derived estradiol could protect melanocytes from oxidative stress, cultured human primary epidermal melanocytes (HEMn-MPs) were treated with H₂O₂ in the presence or absence of 17β estradiol or co-cultured with HSD17β1 siRNA-transfected keratinocytes. Keratinocyte-derived estradiol exhibited protective effects against H₂O₂-induced cell death. Further, reduced expression of HSD17β1 in the epidermis of skin from vitiligo patients was observed compared to the skin from healthy donors or in the normal portions of the skin in vitiligo patients. Our results suggest a possible new target for interventions that may be used in combination with current therapies for patients with vitiligo.