回字形超长框架结构温度应力设计

在理论分析和现场长期测试的基础上,针对回字形超长框架结构的特点,研究了该类结构的温度应力设计方法.采用余弦函数模拟季节温度变化,应用CEB-FIP MC90规范中的收缩公式及JTJ023—85规范中的徐变本构关系和徐变计算的继效流动理论,结合考虑徐变应力折减系数的简化计算方法,对实际工程进行了温度应力分析,分析结果与现场测试结果吻合.分析表明,回字形框架的楼面角点、角柱、边梁、楼面中间区域为温度应力设计的关键部位,在这些关键部位配置适量通长普通钢筋即可控制温度及收缩裂缝,且对结构造价影响很小.     

轴向磁场磁通切换永磁电机矢量控制

为了研究轴向磁场磁通切换永磁(AFFSPM)电机在恒转矩和恒功率区域的运行性能,分析了AFFSPM电机的结构特征,推导了AFFSPM电机的数学模型.基于矢量控制建立了AFFSPM电机的驱动系统.在恒转矩区域,采用了最大转矩电流比(MTPA)控制策略,并与id=0控制进行了对比;在恒功率区域,采用了一种基于电感补偿且保持q轴反电势不变的弱磁控制策略,并与普通弱磁控制进行了对比.仿真与实验结果表明,MTPA控制可以减小AFFSPM电机的铜耗.基于电感补偿的弱磁控制可以拓宽AFFSPM电机的恒功率运行范围,提高了AFFSPM电机运行性能,且AFFSPM电机轴向长度短、转子结构简单,因此比较适合用作电动汽车轮毂电机.     

国内外智慧城市建设关键要素及其耦合研究

基于对智慧城市体系要素的分析,建立其要素耦合的理论分析框架,并对智慧城市建设的关键要素及其耦合关系进行了检验．研究表明,智慧城市需基于自身的基础条件和发展需求进行相匹配的战略定位,并在战略的统领下,通过空间体系的优化、支撑体系的智能化、产业发展的持续化及社会自组织能力的高度化等体系要素的耦合联系和协同互动,最终实现智慧城市的发展和城市竞争力的提升．     

激光诱导击穿光谱(LIBS)法微损快速检测党参中Pb

中药材重金属元素快速检测对污染监控及人们健康具有重要意义。激光诱导击穿光谱技术(Laser Induced Breakdown Spectroscopy, LIBS)属于一种快速检测方法,研磨压片等预处理方法相对样品消解已有所简化,但破坏了样品的物理性质,且不能满足中药材大宗品种、大批量检测需求。若进一步简化样品预处理,将更加凸显LIBS快速检测的优势。本文建立了激光诱导击穿光谱技术(LIBS)快速微损检测中药材样品重金属元素定标方法。线性相关系数R2为0.7764,建立的微损定标曲线线性可用于切片党参LIBS快速检测,对待测党参切片样品检测平均相对误差为3.74%,与电感耦合等离子体质谱法(ICP-MS)对比,相关系数R2为0.7957,验证了LIBS技术微损检测的可行性。制备的党参参考定标样品可多次重复用于待测样定标和仪器标定等。实验对待测党参样品仅进行切片处理,避免了研磨、压片等预处理,更加充分地体现LIBS快速检测的优势,为LIBS技术应用于中药材重金属元素快检等领域提供了一种新方法。     

An Algorithm Framework for Drug-Induced Liver Injury Prediction Based on Genetic Algorithm and Ensemble Learning

In the process of drug discovery, drug-induced liver injury (DILI) is still an active research field and is one of the most common and important issues in toxicity evaluation research. It directly leads to the high wear attrition of the drug. At present, there are a variety of computer algorithms based on molecular representations to predict DILI. It is found that a single molecular representation method is insufficient to complete the task of toxicity prediction, and multiple molecular fingerprint fusion methods have been used as model input. In order to solve the problem of high dimensional and unbalanced DILI prediction data, this paper integrates existing datasets and designs a new algorithm framework, Rotation-Ensemble-GA (R-E-GA). The main idea is to find a feature subset with better predictive performance after rotating the fusion vector of high-dimensional molecular representation in the feature space. Then, an Adaboost-type ensemble learning method is integrated into R-E-GA to improve the prediction accuracy. The experimental results show that the performance of R-E-GA is better than other state-of-art algorithms including ensemble learning-based and graph neural network-based methods. Through five-fold cross-validation, the R-E-GA obtains an ACC of 0.77, an F1 score of 0.769, and an AUC of 0.842.     

润叶加料工序料液有效利用率的计算方法

为在生产过程中实现对料液有效利用率进行在线监测,把握料液有效利用率的实际情况,寻找提高料液有效利用率的方法,通过对润叶加料入口物料状态、料罐料液状态及润叶加料出口物料状态进行研究,分析出口流量、流量稳定时间、料液实际质量、加料前物料质量、含水率以及生产时间的关系,建立了润叶加料料液有效利用率的计算方法,并将该方法计算得到的有效利用率与1, 2–丙二醇作为标记物的方法进行F检验。结果表明:料液有效利用率的计算值与测量值之间差异无统计学意义(P>0.05),计算结果可代表实测值。该方法可应用于料液有效利用率的在线监测,为润叶加料工序的工艺优化,设备缺陷改进,过程料液吸收情况等提供数据支持。     

基于剔除拟合的股骨头修复建模

提出了一种可以获得目标病例健康时股骨头模型的新建模方法.通过CT扫描获得髋骨部位的序列断层图像,利用一种精确的自动分割方法提取图像中的髋臼轮廓.针对髋臼的特殊结构,使用辐条式采样法得到髋臼凹面的空间坐标点集.剔除坐标点集中的误差采样点.采用闭合形式解的最小二乘法拟合原始股骨头球面模型.通过对2例不同坏死程度的男性患者进行修复实验,证明此方法可以良好地还原坏死的股骨头模型,既为骨科临床中的精确手术定位提供了理论模型,又为针对个体化制造的人工假体生产提供了新的实践方法.     

Characterization of Roasting Time on Sensory Quality,Color, Taste,and Nonvolatile Compounds of Yuan An Yellow Tea

Roasting is crucial for producing Yuan An yellow tea (YAYT) as it substantially affects sensory quality. However, the effect of roasting time on YAYT flavor quality is not clear. To investigate the effect of roasting time on the sensory qualities, chemical components, odor profiles, and metabolic profile of YAYTs produced with 13 min roasting, 16 min roasting, 19 min roasting, 22 min roasting, and 25 min roasting were determined. The YAYTs roasted for 22 min got higher sensory scores and better chemical qualities, such as the content of gallocatechin (GC), gallocatechin gallate (GCG), free amino acids, solutable sugar, meanwhile the lightness decreased, the hue of tea brew color (b) increased, which meant the tea brew got darker and yellower. YAYTs roasted for 22 min also increased the contents of key odorants, such as benzaldehyde, nonanal, β-cyclocitral, linalool, nerol, α-cedrol, β-ionone, limonene, 2-methylfuran, indole, and longiborneol. Moreover, non-targeted metabolomics identified up to 14 differentially expressed metabolites through pair-wise comparisons, such as flavonoids, phenolic acids, sucrose, and critical metabolites, which were the main components corresponding to YAYT roasted for 22 min. In summary, the current results provide scientific guidance for the production of high quality YAYT.     

Investigation Driven by Network Pharmacology on Potential Components and Mechanism of DGS,a Natural Vasoprotective Combination,for the Phytotherapy of Coronary Artery Disease

Phytotherapy offers obvious advantages in the intervention of Coronary Artery Disease (CAD), but it is difficult to clarify the working mechanisms of the medicinal materials it uses. DGS is a natural vasoprotective combination that was screened out in our previous research, yet its potential components and mechanisms are unknown. Therefore, in this study, HPLC-MS and network pharmacology were employed to identify the active components and key signaling pathways of DGS. Transgenic zebrafish and HUVECs cell assays were used to evaluate the effectiveness of DGS. A total of 37 potentially active compounds were identified that interacted with 112 potential targets of CAD. Furthermore, PI3K-Akt, MAPK, relaxin, VEGF, and other signal pathways were determined to be the most promising DGS-mediated pathways. NO kit, ELISA, and Western blot results showed that DGS significantly promoted NO and VEGFA secretion via the upregulation of VEGFR2 expression and the phosphorylation of Akt, Erk1/2, and eNOS to cause angiogenesis and vasodilation. The result of dynamics molecular docking indicated that Salvianolic acid C may be a key active component of DGS in the treatment of CAD. In conclusion, this study has shed light on the network molecular mechanism of DGS for the intervention of CAD using a network pharmacology-driven strategy for the first time to aid in the intervention of CAD.     

OFDM系统LS信道估计中的最优导频设计

针对设置有保护频带的OFDM系统,基于等间隔导频(UPPTS)设计方法,在保证最小二乘(LS)信道估计均方误差(MSE)最小的前提下,计算了系统允许存在的最大保护频带宽度,给出了初始导频位置的选择范围,通过调整导频序列的初始位置,使导频序列有效避开保护频带.仿真实验结果表明,当导频序列的初始导频落入本文所给出的导频位置选择范围之内时,系统给出了更高的信道估计精度和更低的误码率,进一步验证了算法的有效性和优越性.