悬臂高梁在撞击载荷作用下侧向失稳的实验研究

采用实验的方法研究了铝合金悬臂高梁在平头圆柱体冲击下侧向失稳问题。对于１２种不同尺寸的梁,研究了其临界冲击速度及失稳后的屈曲稳态。发现一些与静力侧向失稳不同的动力行为。     

~(11)B(p,3α)对核反应α_1谱的理论拟合

(11)B（p,3α）是一种干净惯性压缩核聚变的新途径．为测量其核反应截面,应用核反应理论,对反应中伴随8Be第一激发态产生的α粒子的能谱进行理论拟合,通过拟合将其同8Be基态和第一激发态衰变产生的α粒子能谱分开．理论拟合同实验谱图符合得很好．     

煤微生物转化产物对色素微生物和蔬菜的刺激作用

在两种产色素微生物的培养基中，加入煤的微生物转化产物，所得微生物发酵液的色素浓度及吸光度有较显著的增加，将煤生物转化产物作为蔬菜生长刺激素的实验亦取得了显著效果，该结果揭示煤微生物转化产物在生物激素上的重要应用前景。     

径向滑动轴承中流体从层流到紊流的流动分析和转变判据研究

本文推导了有限长圆柱轴承油膜流体流动的约束方程和固壁上的压力边条,用原始变量法直接求解了三维完全的N-S方程,计算分析了有限长圆柱轴承中油膜层流失稳的临界Taylor数、流场、压力场和摩擦阻力,并通过实验对临界Taylor数进行了验证,结果表明,在有限长轴承中,随着转速的提高,摩擦阻力线性增加,层流失稳出现的涡动将增加摩擦阻力,随着偏心率的增加,层流失稳的临界转速将提高.     

固定化条件对葡萄糖酶电极响应性能的影响

用微铂盘电极和交联法制得的酶膜构成葡萄糖酶电极，测定其电流响应特性，研究了酶的固定化条件：酶含量以及载体蛋白和交联剂的用量等，对响应特性的影响。提出较适宜的酶电极制备方法，并检测了所得的电极在不同ｐＨ溶液中的灵敏度，指出其最佳操作条件。     

Simulation of three-phase flow and lance height effect on the cavity shape

A three-dimensional computational fluid dynamics (CFD) model was developed to simulate a 150-t top-blown converter. The effect of different lance heights on the cavity shape was investigated using the volume of fluid (VOF) method. Numerical simulation results can reflect the actual molten bath surface waves impinged by the supersonic oxygen jets. With increasing lance height, the cavity depth decreases, and the cavity area, varying like a parabola, increases and then decreases. The cavity area maximizes at the lance height of 1.3 m. Under the three different lance heights simulated in this study, all of the largest impact velocities at the molten bath surface are between 50 m/s and 100 m/s.     

Effects of microbial processes on the fate of arsenic in paddy soil

Arsenic(As) is a metalloid toxic to organisms including humans.Arsenic in rice represents a significant exposure pathway for the general population,particularly for those subsisting on rice.Arsenic transformation,namely reduction,oxidation and methylation,in soil-rice systems has fundamental impacts on its mobility and toxicity.In addition to soil chemical properties(pH,Eh,metallic oxides,organic matter),microorganisms play critical roles in As transformation and mobility in paddy soil,such as through ArsM(As(III) S-adenosylmethyltransferase) and interactions with iron oxides or organic matters.Arsenic species in paddy soil directly influence As speciation in rice grain because the methylated As species in rice are mainly derived from microbial methylation in paddy soil.This paper aims to provide an overview on the status of the knowledge and gaps on the chemical aspects of As transformation in soil-rice system in conjunction with microbial ecology and functional genes.In addition,potential pathways(manipulation of microorganisms in paddy soil and genetic engineering) to decrease total As and/or inorganic As in rice grain are proposed.     

清镇市卫城镇长冲矿区隐伏铝土矿地质特征及找矿方向

贵州省铝土矿资源丰富,其中清镇—修文铝土矿矿集区已探明铝土矿各类保有资源量3.5亿t,但该区因褶皱、断裂构造致使铝土矿直接找矿标志和间接找矿标志大面积隐伏。通过对区内在次级长冲向斜核部发现的铝土矿地质特征等进行综合分析,认为直接运用向斜构造找矿标志,在该区范围内探索或发现深部隐伏铝土矿可获重大突破,增加铝土矿资源量具较大潜力。     

基于长期实测的南京栖霞山长江大桥车辆荷载分析

为准确掌握南京栖霞山长江大桥车辆荷载的统计特性及变化规律,基于该桥动态称重系统记录的2014-2016年数据,研究各车道上不同轴数车辆的分布特点及变化规律,并分析不同轴数车辆各轴轴质量随车质量的变化规律.采用K-means聚类方法对同轴数车辆进行分类,将各类型车辆的轴距、轴质量参数与现行标准进行比较.结果 表明:在大桥所有通行车辆中,二轴车辆为主要类型且所占比例逐年增加,到2016年其通行数量占通行车辆总数的比例为87.42％;5种不同轴数代表车辆中二轴、六轴车辆参数与现行标准相近,与现行标准中三轴、五轴车辆参数相近的车辆不是桥上主要通行车辆类型;各轴数车辆代表轴质量均在轴荷载允许限值内.     

Deep Learning-Based Classification of the Polar Emotions of “Moe”-Style Cartoon Pictures

The cartoon animation industry has developed into a huge industrial chain with a large potential market involving games, digital entertainment, and other industries. However, due to the coarse-grained classification of cartoon materials, cartoon animators can hardly find relevant materials during the process of creation. The polar emotions of cartoon materials are an important reference for creators as they can help them easily obtain the pictures they need. Some methods for obtaining the emotions of cartoon pictures have been proposed, but most of these focus on expression recognition. Meanwhile, other emotion recognition methods are not ideal for use as cartoon materials. We propose a deep learning-based method to classify the polar emotions of the cartoon pictures of the "Moe" drawing style. According to the expression feature of the cartoon characters of this drawing style, we recognize the facial expressions of cartoon characters and extract the scene and facial features of the cartoon images. Then, we correct the emotions of the pictures obtained by the expression recognition according to the scene features. Finally, we can obtain the polar emotions of corresponding picture. We designed a dataset and performed verification tests on it, achieving 81.9% experimental accuracy. The experimental results prove that our method is competitive.