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.     

Towards a Better Prediction of Cell Settling on Nanostructure Arrays—Simple Means to Complicated Ends

Vertical arrays of nanostructures (NSs) are emerging as promising platforms for probing and manipulating live mammalian cells. The broad range of applications requires different types of interfaces, but cell settling on NS arrays is not yet fully controlled and understood. Cells are both seen to deform completely into NS arrays and to stay suspended like tiny fakirs, which have hitherto been explained with differences in NS spacing or density. Here, a better understanding of this phenomenon is provided by using a model that takes into account the extreme membrane deformation needed for a cell to settle into a NS array. It is shown that, in addition to the NS density, cell settling depends strongly on the dimensions of the single NS, and that the settling can be predicted for a given NS array geometry. The predictive power of the model is confirmed by experiments and good agreement with cases from the literature. Furthermore, the influence of cell‐related parameters is evaluated theoretically and a generic method of tuning cell settling through surface coating is demonstrated experimentally. These findings allow a more rational design of NS arrays for the numerous exciting biological applications where the mode of cell settling is crucial.     

Failure Deformation and Stress Relaxation of Heated Egg White Gels

Stress-strain relationships were determined for heated egg white gels. Compressive strain at failure was independent of protein concentration, while stress at failure increased with protein concentration. Between the length ratios of 1.6 and 2.4 before and after compression, the heated egg white gels followed the Mooney Rivlin model. In stress relaxation, the asymptotic hypothetical equilibrium modulus increased with protein concentration.     

纵向变形协调时纤维增强复合材料的横向模量分析

近些年来,复合材料横向模量的分析受到了普遍的重视,并获得一定进展.本文采用Phillips提出的串联/并联模型,考虑到沿纵向纤维与基体的变形协调,利用材料力学方法,求得具有正方形截面的纤维增强复合材料的横向模量,进而讨论了其它形状纤维截面的应用.     

钢薄壁圆筒体的吊装

介绍了钢薄壁圆筒体吊装方法的选择及吊点位置的确定 ,对于钢薄圆筒体局部失稳进行了分析 ,提出了相应的加固措施     

放顶煤开采顶煤变形与破碎特征

以放顶煤开采现场实测为基础,着重探讨了顶煤的变形特征、顶煤变形与支承压力的关系;对比分析了“卸载降架－拉架－支撑”和“带压移架”不同移架方式对顶煤破碎效果的影响,结果表明,支架的反复支撑对煤具有明显的破碎作用。     

软岩巷道锚杆支护效果的数值模拟研究

本文采用ＦＬＡＣ非线性大变形程序对小铁山矿沿脉联络巷道无支护时和锚杆支护时的受力和变形特征进行了分析,结果表明锚杆支护结构可以很好地限制巷道的变形。通过计算,为合理地进行巷道支护设计和锚杆支护结构参数的选取提供了依据。     

监测网一、二类同步设计的非线性交互式算法

鉴于监测网的一、二类设计的依赖性,两类设计分解算得不到整体最优值,笔将一、二类设计组合在一起同步进行,又考虑到监测网设计模型中绝大多数函数关系都是非线性的,提出采用两层非线性多目标交互式设计法进行监测网一、二类同步设计,使两类设计变量在一个数字模型中解算,获得整体最优值,这一设计模型和方法比已有方法更科学、更合理,可显提高监测网优化设计质量。     

表面形变精密测试方法的研究

本文在试样的表面制作出等间隔的平行线，作为反射式光栅，在激光束的照射下形成一列线阵分布的衍射光斑，并用线阵电荷耦合器件等组成的系统，测试衍射光斑间距及其变化量，从而高精度（μｍ量级）的为材料表面形变，应变等的测试，开发了一种具有近代光学测量的新技术。