温度对油、水、石英体系润湿性的影响

用量子场论方法计算了固 液界面的吸附自由能,导出了油、水、石英三相体系的润湿系数与温度的关系。计算表明,当系统的温度升高时,石英的亲水性增强,降低了多孔介质的残余油饱和度,这对热力采油机理研究有参考价值     

数字图书馆的建设与组织管理

数字图书馆是图书馆未来发展的方向,通过介绍和分析数字图书馆的概念,明确了其基本特征,阐述了数字图书馆建设中的网络信息技术,数字式信息资源建设,网上资源收藏三方面内容,并对数字图书馆的组织管理和机构建立进行了探讨。     

棉花种子变温冷害的初步研究

以棉花种子新陆早１号为材料，研究了２０～１２℃、２０～８℃、２０～２℃、１６～８℃、１６～２℃、１２～５℃六种不同变温分别处理１天、２天、３天、４天、５天后的发芽率，初步认清了棉花种子变温与冷害的关系．结果表明，变温的幅度及低温的程度是决定冷害的主要因素，低变温的持续时间也是影响冷害的主要因素．     

The parameter determination in the design of 3-D spherically symmetric FIR filters via the McClellan transformation

In the design of 3-D spherically symmetric FIR filters via the McClellan transformation, two methods are proposed to determine the transformation parameters. The first is to improve the original 3-D algorithm by exploiting the 2-D effective methods in 3-D. This method can change the constrained optimization algorithm into the unconstrained one and makes the design easier to realize. The second method is to solve the coupled equations under constrained conditions and a set of ideal parameters can be gotten. The design example shows that the two methods are all efficient and easier than the original algorithm. Supported by the National Natural Science Foundation of China Jin Xiaoying: born in 1975, Graduate student     

煤粉燃烧火焰的三色法温度测量

对彩色 CCD摄像机所拍摄的火焰图像 ,采用三色波长光谱测量法和温度分段线性化的方法来计算煤粉火焰温度 .将火焰温度由高向低分成几个温度段 ,通过温度的标定试验作分段的温度线性化处理 ,再求解由 3个色彩分量和温度标定组成的线性方程组 ,得到较为准确的火焰温度分布 .这种方法准确可靠 ,避免了过去方法中试图用一个标定试验的公式来求解跨度较大的整个温度场分布及由此引起的误差 .最后对一实例进行了计算 ,得到了满意的结果     

存在反应的电解质溶液相平衡研究

从应用的角度出发,对电解质溶液模型、相平衡计算的现状与发展进行了简要的回顾,并系统地介绍和讨论了作者在这方面的工作。指出对Pitzer模型和作者提出的电解质溶液水化平衡模型建立各自相应的普遍化温度关系,结合所提出的固液平衡级计算方法,可以预测工业过程所涉度的高温、高压、高浓度范围内复杂体系的热力学性质,解决此类过程集成模拟优化的瓶颈问题。此外。还介绍了离子选择性电极测定弱电解质体系热力学的方法。     

工作气压对磁控溅射ITO薄膜性能的影响

工作气压在ITO薄膜的制备过程中是一个重要的工艺参数,直接决定着薄膜的性能.本文利用射频磁控溅射方法,采用氧化铟锡陶瓷靶材,在衬底温度为175℃,工作气压范围为0.45～1.0 Pa条件下,制备了氧化铟锡透明导电薄膜.研究了工作气压对其微观结构、表面形貌和光电特性的影响.在衬底温度为175℃、纯氩气中制备的氧化铟锡薄膜电阻率为3.04 ×10-4 Ω·cm、可见光波段(400～800 nm)透过率为91.9;,适合用作异质结太阳电池的前电极和减反射膜.     

Improved Stretchable and Sensitive Fe Nanowire-Based Strain Sensor by Optimizing Areal Density of Nanowire Network

Flexible strain sensors, when considering high sensitivity and a large strain range, have become a key requirement for current robotic applications. However, it is still a thorny issue to take both factors into consideration at the same time. Here, we report a sandwich-structured strain sensor based on Fe nanowires (Fe NWs) that has a high GF (37–53) while taking into account a large strain range (15–57.5%), low hysteresis (2.45%), stability, and low cost with an areal density of Fe NWs of 4.4 mg/cm². Additionally, the relationship between the contact point of the conductive network, the output resistance, and the areal density of the sensing unit is analyzed. Microscopically, the contact points of the conductive network directly affect the sensor output resistance distribution, thereby affecting the gauge factor (GF) of the sensor. Macroscopically, the areal density and the output resistivity of the strain sensor have the opposite percolation theory, which affects its linearity performance. At the same time, there is a positive correlation between the areal density and the contact point: when the stretching amount is constant, it theoretically shows that the areal density affects the GF. When the areal density reaches this percolation threshold range, the sensing performance is the best. This will lay the foundation for rapid applications in wearable robots.     

Raman Method in Identification of Species and Varieties,Assessment of Plant Maturity and Crop Quality—A Review

The present review covers reports discussing potential applications of the specificity of Raman techniques in the advancement of digital farming, in line with an assumption of yield maximisation with minimum environmental impact of agriculture. Raman is an optical spectroscopy method which can be used to perform immediate, label-free detection and quantification of key compounds without destroying the sample. The authors particularly focused on the reports discussing the use of Raman spectroscopy in monitoring the physiological status of plants, assessing crop maturity and quality, plant pathology and ripening, and identifying plant species and their varieties. In recent years, research reports have presented evidence confirming the effectiveness of Raman spectroscopy in identifying biotic and abiotic stresses in plants as well as in phenotyping and digital selection of plants in farming. Raman techniques used in precision agriculture can significantly improve capacities for farming management, crop quality assessment, as well as biological and chemical contaminant detection, thereby contributing to food safety as well as the productivity and profitability of agriculture. This review aims to increase the awareness of the growing potential of Raman spectroscopy in agriculture among plant breeders, geneticists, farmers and engineers.