Learning shape and texture progression for young child face aging

Face aging (FA) for young faces refers to rendering the aging faces at target age for an individual, generally under 20s, which is an important topic of facial age analysis. Unlike traditional FA for adults, it is challenging to age children with one deep learning-based FA network, since there are deformations of facial shapes and variations of textural details. To alleviate the deficiency, a unified FA framework for young faces is proposed, which consists of two decoupled networks to apply aging image translation. It explicitly models transformations of geometry and appearance using two components: GD-GAN, which simulates the Geometric Deformation using Generative Adversarial Network; TV-GAN, which simulates the Textural Variations guided by the age-related saliency map. Extensive experiments demonstrate that our method has advantages over the state-of-the-art methods in terms of synthesizing visually plausible images for young faces, as well as preserving the personalized features.     

Structural Cues for Understanding eEF1A2 Moonlighting

Spontaneous mutations in the EEF1A2 gene cause epilepsy and severe neurological disabilities in children. The crystal structure of eEF1A2 protein purified from rabbit skeletal muscle reveals a post-translationally modified dimer that provides information about the sites of interaction with numerous binding partners, including itself, and maps these mutations onto the dimer and tetramer interfaces. The spatial locations of the side chain carboxylates of Glu301 and Glu374, to which phosphatidylethanolamine is uniquely attached via an amide bond, define the anchoring points of eEF1A2 to cellular membranes and interorganellar membrane contact sites. Additional bioinformatic and molecular modeling results provide novel structural insight into the demonstrated binding of eEF1A2 to SH3 domains, the common MAPK docking groove, filamentous actin, and phosphatidylinositol-4 kinase IIIβ. In this new light, the role of eEF1A2 as an ancient, multifaceted, and articulated G protein at the crossroads of autophagy, oncogenesis and viral replication appears very distant from the “canonical” one of delivering aminoacyl-tRNAs to the ribosome that has dominated the scene and much of the thinking for many decades.     

A Novel Beam Search to Improve Neural Machine Translation for English-Chinese

Neural Machine Translation (NMT) is an end-to-end learning approach for automated translation, overcoming the weaknesses of conventional phrase-based translation systems. Although NMT based systems have gained their popularity in commercial translation applications, there is still plenty of room for improvement. Being the most popular search algorithm in NMT, beam search is vital to the translation result. However, traditional beam search can produce duplicate or missing translation due to its target sequence selection strategy. Aiming to alleviate this problem, this paper proposed neural machine translation improvements based on a novel beam search evaluation function. And we use reinforcement learning to train a translation evaluation system to select better candidate words for generating translations. In the experiments, we conducted extensive experiments to evaluate our methods. CASIA corpus and the 1,000,000 pairs of bilingual corpora of NiuTrans are used in our experiments. The experiment results prove that the proposed methods can effectively improve the English to Chinese translation quality.     

The factorial structure of the Dutch translation of the Inventory of Interpersonal Problems: A test of the long and short versions.

In this article, the authors study the factorial structure of 2 versions (64 items and 32 items) of the Dutch translation of the Inventory of Interpersonal Problems (IIP; L. M. Horowitz, L. E. Alden, J. S. Wiggins, & A. L. Pincus, 2000) in both a clinical sample (n = 382) and a student sample (n = 287). First, the authors test whether both inventories are constituted by correlated uni-dimensional subscales, and they conclude that this is true only for the short version. Second, the authors study whether the correlations between the subscales follow a circumplex pattern. This proves to be true for both versions. Coefficients alpha and correlations between the IIP-64 and IIP-32 subscales are discussed. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

基于多Agent的模糊粗交流

提出了变异模糊粗集的概念及其相应的性质和定理;建立了模糊粗交流最优传递序列的数学模型,并给出了解决此模型的算法思想,算例证明了算法思想的有效性。     

多标准视频硬件解码器的存储器地址映射方法

提出了一种支持多标准视频的存储器地址映射方法,用一个简洁的公式把视频图像映射到DDR SDRAM的存储空间.该方法兼顾运动补偿模块、去块效应滤波模块(或重建模块)和显示模块的不同需求特点,通过充分减少DDR SDRAM非读写命令的额外延时,达到较高的存储器接口效率.     

Interoperability issues in heterogeneous network management

The presence of dissimilar network models and standards necessitates interoperability as a means of achieving ubiquitous connectivity and management. The primary focus of this paper is to identify interoperability issues, independent of the network management model, which form the basis for developing interworking paradigms. Network Management and Interoperability related concepts and terminology are introduced and a generic network management framework is presented. Based on the generic framework, interoperability issues for developing paradigms are identified systematically. Different paradigms for interoperability are described and compared. The techniques used by these paradigms in addressing the issues identified are discussed.     

IPv6与欧洲

在推进IPv6的问题上,亚洲表现的最为积极,这是因为亚洲各国承受着巨大的IP地址方面的压力。欧洲虽然在这方面没有这样大的压力,但在互联网方面一直落后于美国,这是欧洲所不甘心的。因此,欧洲在推进IPv6方面也做了许多工作。欧洲推进IPv6的基本策略是先移动,后固定,并实施了一系列的行动计划和项目。欧洲面临的挑战主要是已经部署了数量巨大的网元、操作系统与软件应用必须予以更新、互通或取代,需要仔细规划和大量投资。     

SDH光网络中的ID与IP地址

随着IP技术的迅速发展和应用以及SDH光传输设备在现代通信网络中的广泛应用。大空对ID与IP的认识也不断深入。本文首先比较深入地讨论了ID与IP地址的基本概念，与此同时，阐述了二者的关系和区分；接着，讨论了子网掩码的相关内容；最后，介绍了在实际工作中非常有用的两条命令及其用法。     

基于软交换的NAT/防火墙穿透技术研究

通过对目前几种解决NAT(network addres stranslation)／防火墙穿逢方案的分析，提出了一种较易实现的穿透技术，并给出具体实现方案。