自行火炮车体刚强度有限元分析

对某自行火炮车体在静态射击时的受力情况进行了分析，建立了；一体刚强度有限元分析的数学模型，给出了整；一网格图。采用三维空间板壳单元对最小射角、中间射角三种情况下的车体刚强度进行了计算，给出了计算结果，并对计算结果进行了分析。结果表明：火炮射击时对车体顶甲板的应力和变形影响最大，且顶甲板应力和变形随角的改变而明显改变；该车体结构设计合理，刚强度满足设计要求。最后提出了４点改善车体刚强度的建议。     

Androgen Receptor Gene Pathway Upregulation and Radiation Resistance in Oligometastatic Prostate Cancer

Stereotactic ablative body radiotherapy (SABR) is currently used as a salvage intervention for men with oligometastatic prostate cancer (PC), and increasingly so since the results of the Stereotactic Ablative Body Radiotherapy for the Comprehensive Treatment of Oligometastatic Cancers (SABR-COMET) trial reported a significant improvement in overall survival with SABR. The addition of androgen deprivation therapy (ADT) to localised prostate radiotherapy improves survival as it sensitises PC to radiotherapy-induced cell death. The importance of the androgen receptor (AR) gene pathway in the development of resistance to radiotherapy is well established. In this review paper, we will examine the data to determine how we can overcome the upregulation of the AR pathway and suggest a strategy for improving outcomes in men with oligometastatic hormone-sensitive PC.     

基于改进BOF算法的压板状态识别方法研究

随着电网规模的扩张以及二次技术的发展,二次屏柜的压板数量急剧上升.二次压板一旦出现保护误动或拒动,将严重威胁到电网、设备与人身安全.设计了一种基于改进图像检索算法的继电保护压板状态识别系统对压板退投状态进行识别.首先,对压板图像利用背景差分法及光流法进行前景提取;然后,采用图片增强处理、边缘检测等一系列技术识别开关的投...     

面向主动脉缩窄辅助诊断的神经网络模型设计

为了辅助临床医生更快、更准确地进行主动脉缩窄的术前评估,结合心脏计算机断层扫描图像的三维空间特征,提出一种基于三维卷积神经网络的主动脉缩窄辅助诊断模型。相比于传统主动脉缩窄辅助诊断方法,使用这种新模型可在提高诊断结果可靠性的同时,直接面向图像操作,无需进行繁杂的数据预处理,诊断准确率、查准率和查全率均有显著提高。     

A MODEL FOR C-CALCULUS

C-calculus was introduced by the first author as a technique for the analysis of complex hierarchical systems.² It has been further applied as a versatile tool in pattern recognition.^1,3 Our present aim is to exhibit a model for C-calculus, and deal with its convergence and filtering properties.     

Artist Space 6: Generative computation and the arts

Cyberart incorporates interactive systems within artistic practices. The foundation for a theory of artistic production and creativity becomes expanded on the basis of a biological implication that is not dependent solely on aesthetic judgment. To communicate with computers and their high performance software stimulates artists’ imagination and there are types of interface or hardware that connect the natural system (especially the body) to the internal life of computers.     

Consideration of the BDNF gene in relation to two phenotypes: Hoarding and obesity.

The gene coding for the brain derived neurotrophic factor (BDNF) has emerged as an interesting candidate for multiple brain and brain disorder-related phenomena. The primary aim of the present investigation was to consider the relationship between the BDNF Val66Met variant and two phenotypes: compulsive hoarding as a symptom dimension of obsessive–compulsive disorder (OCD), and body mass index (BMI). We examined the BDNF gene in a large (N = 301) clinical sample of probands with OCD. Participants were classified as hoarding or nonhoarding using a strict, multimeasure grouping approach. Results revealed that the Val/Val genotype was linked with hoarding classification and more severe hoarding behaviors, as well as greater BMI levels. Hoarding status was also associated with greater BMI scores, with individuals in the hoarding group being far more likely to be classified as obese compared with the nonhoarding group. Our findings may provide a distinct avenue through which hoarding and BMI could be linked. These findings are suggestive of a complex gene, body weight, and psychopathology relationship wherein a primitive, survival “thrifty gene” strategy may be conserved and represented in a subgroup of humans manifesting severe hoarding symptoms. (PsycINFO Database Record (c) 2011 APA, all rights reserved)     

Use of coordinate measuring machines and digital optical machines for the geometric characterization of circumference arcs using the minimum zone method

This paper presents an optimised method for the characterization of circular features of any amplitude, which includes the capture of geometric data, by means of the use of three-coordinate measuring machine or digital optical machines with a CCD camera, and its subsequent mathematical processing. The proposed model determines the radius and the circularity error, based on the minimum zone method, and to this end it uses linear programming techniques, the Simplex programming principles and the limaçon approximation. An experimental study on ring gauges and reference disks is provided, including a comparative analysis using the Chauvenet and Grubbs filtering procedures. Last of all, an uncertainty estimation method is proposed by means of the Monte Carlo simulation. The experimental analysis carried out on ring gauges and reference disks accredit that the algorithm developed, implemented in a Matlab® environment, gives reliable results for any circumference arc considered, regardless of its amplitude.     

大湖之都大型楼盘区墨溪湖引水活水工程设计

工程选择了赣抚平原灌溉总渠为墨溪湖活水水源,并采用浅水湖泊平面二维水动力模型和水质模型模拟计算了引水活化需水水量,根据输水水流流态形式选择了合适的输水管材。为节约用地和避免影响周围景观,中途提升泵房设计为全地下式泵房形式。通过介绍工程设计情况,总结了工程设计特点。     

Adaptive smoothness evaluation and multiple asymmetric histogram modification for reversible data hiding

In this paper, an adaptive reversible data hiding (RDH) algorithm based on multiple asymmetric histograms is proposed by making full use of the image content. Different from existing multiple prediction error histogram (PEHs) modification methods that directly cluster all the pixels of a cover image into multiple categories, we firstly utilize a smoothness threshold to exclude as many pixels in complex regions as possible for reducing unnecessary pixel shifting, and then exploit fuzzy C-means with multiple deliberately-designed features to construct multiple sharply-distributed categories, which helps in increasing the subsequent embedding performance. Two asymmetric PEHs for each class are generated using a pair of asymmetric predictors, and the short part of each asymmetric PEH is modified to reduce the number of invalid modifications. The improved discrete particle swarm optimization is used to adaptively select the best bin while reducing computational complexity. The experimental results show that the proposed method outperforms several state-of-the-art RDH methods.