Corrosion resistance and antibacterial effects of hydroxyapatite coating induced by polyacrylic acid and gentamicin sulfate on magnesium alloy

Magnesium(Mg)alloys have attracted considerable research attention as potential biocompatible implant materials.However,the major barriers to the extended use of such medical devices are the possibility of high corrosion rate and implantassociated infections.To solve them,a novel polyacrylic acid(PAA)/gentamicin sulfate(GS)-hydroxyapatite(HAp)coating was synthesized by a one-step hydrothermal deposition method.Characteristics of functional coatings were investigated by SEM,FTIR and XRD.Corrosion properties of samples were evaluated by electrochemical and hydrogen evolution tests.Antibacterial activities of the coatings against Staphylococcus aureus(S.aureus)were measured by the plate-counting method.Results showed that the as-prepared HAp coating with dense and flawless morphologies could not only enhance the corrosion resistance of Mg alloys,but also improve the adhesion strength between the HAp coating and the substrate.In addition,the induction of the apatite coating during immersion confirmed the excellent mineralization ability of the HAp coating.Moreover,the obtained HAp coati ng possessed antibacterial properties and could prolong the release of GS.Thus,the PAA/GS-HAp coated Mg alloy could serve as a better candidate for biomedical applications with good anti-corrosion and antibacterial properties.     

Group and group-interaction contribution method for estimating the melting temperatures of deep eutectic solvents

Deep eutectic solvents (DESs) are mixtures of two or more components that have lower melting temperatures compared to their constituting components. DESs possess many advantages, for example, low volatility, low flammability, and low toxicity, which make them promising alternatives to traditional organic solvents. The melting temperature, one of the important physical properties, is of essential importance for industrial applications. In this work, a group and group-interaction contribution method was proposed to estimate the melting temperatures of DESs using an extensive database (1528 DESs, 1541 data points). The average absolute relative deviation (%AARD) between the estimated and experimental values of the melting temperature was 5.67% for binary DESs. Subsequently, this method was also extended to estimate the melting temperature of ternary DESs, with the AARD of 6.13%. The results indicate the high accuracy and broad applicability of the method and pave the way for the rational design of task-specific DESs.     

Combining thermal inertia and a diurnal temperature difference cycle model to estimate thermal inertia from MSG-SEVIRI data

Thermal inertia is an important parameter in geological and agricultural applications. In this study, we present a method that combines models of thermal inertia and the diurnal temperature difference cycle to estimate the thermal inertia from Meteosat Second Generation Spinning Enhanced Visible and Infrared Imager (MSG-SEVIRI) data. This method can directly derive thermal inertia from MSG-SEVIRI brightness temperatures without the need to include the land surface temperature and emissivity. Two important parameters (the time of the maximum temperature and the diurnal temperature difference) that were input into the thermal inertia model were obtained by fitting the diurnal temperature difference cycle model to the diurnal cycle of land surface temperatures. The spatial distribution of thermal inertia shows that high thermal inertia values occur over vegetated areas, whereas low thermal inertia values occur over bare areas. The uncertainty in thermal inertia is investigated in terms of the uncertainties in the surface albedo, the time of the maximum temperature, and the diurnal temperature difference. The results indicate that the uncertainty in thermal inertia over vegetated areas is greater than that over bare areas. The consistency of the thermal inertia model is evaluated by analysing the difference in thermal inertia values on two consecutive days. The root mean square error of the thermal inertia differences under nearly identical surface and atmospheric conditions on two consecutive days is considered to be the error of the thermal inertia model.     

基于划刻实验的单晶锗材料去除机理研究

采用Cube压头对单晶锗进行变载与恒载纳米划刻实验, 利用扫描电子显微镜和原子力显微镜对已加工表面进行观测, 根据表面形貌将划刻过程分为延性域、脆塑转变域及脆性域三种, 对各个阶段的表面成型及材料去除方式进行了研究。使用最小二乘法对不同阶段划刻力进行非线性拟合, 并利用相关系数检验拟合函数可靠性, 结果表明划刻力与划刻深度存在强相关性。同时分析了单晶锗的弹性回复率随划刻距离的变化趋势, 结果表明工件的弹性回复率将从纯弹性阶段的1逐步回落至0.76左右。基于脆塑转变临界载荷, 以裂纹萌生位置作为脆塑转变标志, 首次结合工件已加工表面弹性回复, 提出一种适用于计算单晶锗的脆塑转变临界深度模型, 其脆塑转变临界深度为489 nm。     

新型灾变自适应遗传算法及其应用

遗传算法经常被应用于工业生产中的最优化问题当中,但是在面对非线性、多极值、多变量的问题时容易在早期寻优过程中陷入局部最优解范围.本文通过对传统的遗传算法添加灾变操作,减少了遗传算法常见的“早熟”现象,配合灾变操作的迭代次数的变化设置了遗传操作自适应变化,增强了算法后期的寻优能力.该算法以河北某钢铁企业的实际生产数据进行检验,实验结果表明该算法能在保证烧结矿性能质量的前提下,有效的降低原料成本,有效降低早熟现象的发生,提高了算法的整体搜索能力,在工业生产当中的最优化问题当中可以发挥很好的效果.     

锑硅纳米复合薄膜作为钠离子电池负极材料的电化学行为研究

近年来, 合金作为钠离子电池的负极材料具有较高的比容量而受到广泛关注。然而, 硅与钠离子的电化学反应活性很低, 硅基合金型负极材料鲜有报道。本研究通过脉冲激光沉积技术制备了锑硅(Sb-Si)纳米复合薄膜, 并对其作为钠离子电池负极材料的电化学性能和反应机理进行了研究。电化学性能表征发现, 锑硅纳米复合薄膜在10 μA/cm²的电流密度下, 循环100次后能保持约0.011 mAh/cm²(270 mAh/g)的可逆比容量, 远优于同样方法和条件下制备的单质锑和单质硅薄膜电极的电化学性能。进一步的研究表明, 在放电过程中, Sb和Si分别和钠离子发生合金化反应生成了Na₃Sb和NaSi的纳米晶。在充电过程中, Na₃Sb和NaSi纳米晶发生可逆的脱钠反应, 重新形成单质Sb和Si纳米晶粒。大量存在于锑硅纳米复合薄膜中的异质晶界有利于钠离子的扩散和输运, 从而提高了纳米复合薄膜电极的电化学性能。     

社会网络中的团队形成问题研究综述

团队形成;社会化网络;任务分配;变形问题;优化     

基于PowerPC FSC823的大型绘图仪控制系统的设计

本文主要介绍了大型绘图仪控制系统的设计,开发系统选用的是Motolora公司的PowerPC FSC823开发板,它是一种基于Linux的嵌入式系统。其中详细阐述了控制系统的硬件设计方案与软件设计思路,并具体描述了驱动步进电机的程序设计。与传统单片机控制系统相比较,本系统可以脱离上位机实现绘图和显示功能,并且能够从U盘和网络中读取绘图文件。     

中式鸡尾酒的配制

以国内中低档的饮料酒或食用酒精为酒基,加以果蔬汁、蜂蜜、豆奶、可乐、糖浆、８５１营养液、冰块、色素、香精等,并用果品装饰,配制成系列中华鸡尾酒。     

固相萃取-气相色谱－三重四级杆质谱法测定蔬菜中五氯硝基苯和百菌清残留量

目的建立固相萃取-气相色谱-三重四级杆质谱法测定蔬菜中五氯硝基苯和百菌清残留量的检测方法。方法样品采用正己烷溶剂提取,串联Florisil-Carb固相萃取小柱净化,采用多重反应监测(multiple reaction monitoring,MRM)模式检测,内标法进行定量。结果五氯硝基苯和百菌清的平均回收率分别在78.7%～91.6%、80.2%～90.8%之间;检出限(S/N=3)为0.005 mg/kg和0.004 mg/kg。结论该方法具有灵敏度高、分离效果好、重复性好的特点,适用于大批量蔬菜样品中五氯硝基苯和百菌清杀菌剂残留检测的要求。