Feasibility of Defatted Juice from Sea-Buckthorn Berries (Hippophae rhamnoides L.) as a Wheat Beer Enhancer

Juice made from sea-buckthorn berries (Hippophae rhamnoides L.) is a valuable source of bioactive compounds, vitamins, as well as micro- and macronutrients. By applying defatted sea-buckthorn juice, it is possible to enhance wheat beer and change its sensory properties and the contents of bioactive compounds in the finished product. A sensory assessment showed that wheat beers with a 5% v/v addition of sea-buckthorn juice were characterised by a balanced taste and aroma (overall impression). Physicochemical analyses showed that, compared to the control samples, wheat beers enhanced with defatted sea-buckthorn juice at a rate of 5% v/v or 10% v/v had high total acidity with respective mean values of 5.30 and 6.88 (0.1 M NaOH/100 mL), energy values lower on average by 4.04% and 8.35%, respective polyphenol contents of 274.1 mg GAE/L and 249.7 mg GAE/L, as well as higher antioxidant activity (measured using DPPH, FRAP, and ABTS assays). The findings show that the samples of wheat beer enhanced with sea-buckthorn juice had average ascorbic acid contents of 2.5 and 4.5 mg/100 mL (in samples with 5% v/v and 10% v/v additions, respectively) and contained flavone glycosides, e.g., kaempferol-3-O-glucuronide-7-O-hexoside. Based on the current findings, it can be concluded that wheat beer enhanced with sea-buckthorn juice could emerge as a new trend in the brewing industry.     

基于势场导向的对数蚁群算法的移动机器人路径规划

针对蚁群算法存在收敛速度慢,易陷入局部最优的问题,提出了一种将人工势场和对数蚁群算法相融合的新算法.该算法是在蚁群算法的基础上,将势场的影响因素引入到蚁群算法的状态转移概率函数和启发函数中,并通过对数函数模型对蚁群算法的信息素更新策略进行改进,使得路径算法搜索不再具有盲目性,并加快算法的收敛速度.为了验证改进算法的有效...     

地铁干扰下管道极化电位测试方法及应用

地铁干扰下管道阴极保护电位呈现频繁波动的特点,无法通过传统的断电法获得管道的真实保护电位。从需要断开所有外部电源的角度出发,提出采用试片断电法进行干扰下管道极化电位的测试,并通过现场试验研究,确定了影响管道极化电位准确测试的主要因素及其影响规律,建立了地铁干扰下管道极化电位有效测试的参数设置方法:试片极化达到稳定的时间不少于2.25 h;试片的埋设深度不低于0.30 m;试片与参比的水平间距宜为0.05～0.10 m。     

Development of Neuropeptide Y and Cell-Penetrating Peptide MAP Adsorbed onto Lipid Nanoparticle Surface

Functionalization of nanoparticles surfaces have been widely used to improve diagnostic and therapeutic biological outcome. Several methods can be applied to modify nanoparticle surface; however, in this article we focus toward a simple and less time-consuming method. We applied an adsorption method on already formulated nanostructured lipid carriers (NLC) to functionalize these nanoparticles with three distinct peptides sequences. We selected a cell-penetrating peptide (CPP), a lysine modified model amphipathic peptide (Lys(N₃)-MAP), CPP/drug complex, and the neuropeptide Y. The aim of this work is to evaluate the effect of several parameters such as peptide concentration, different types of NLC, different types of peptides, and incubation medium on the physicochemical proprieties of NLC and determine if adsorption occurs. The preliminary results from zeta potential analysis indicate some evidence that this method was successful in adsorbing three types of peptides onto NLC. Several non-covalent interactions appear to be involved in peptide adsorption with the possibility of three adsorption peptide hypothesis that may occur with NLC in solution. Moreover, and for the first time, in silico docking analysis demonstrated strong interaction between CPP MAP and NPY Y1 receptor with high score values when compared to standard antagonist and NPY.     

流媒体系统架构的技术分析

流媒体依靠其强大的技术优势迅速渗透到社会生活的各个领域。文章就流媒体的概念及原理进行了阐述,分析了目前主流的流媒体格式及传输协议,并提供了一套流媒体系统平台的架构方案。     

基于混沌人工势场法的机器人路径规划

本文以人工势场法为基础,提出了一种基于混沌人工势场法的机器人路径规划方法,该方法解决了传统人工势场法存在局部最优点问题、在相近障碍物间不能发现路径、在障碍物前震荡、在狭窄通道中摆动等缺陷。仿真试验表明,该方法能有效的实现机器人路径规划。     

VIENNA型三相三电平PWM整流器研究

分析了VIENNA型三相三电平PWM整流器的拓扑及其数学模型,以及三电平变换器的状态空间矢量调制技术(SVPWM)。提出了基于PI控制的双闭环的控制策略(即电压外环、电流内环),并引入中点电位因子r对中点电压进行平衡控制。为了验证所提控制策略的可行性,搭建了VIENNA型三相三电平PWM整流器的仿真平台以及1.6 kW的实验样机进行仿真与实验研究。仿真及实验结果表明,所提出的调制方法及控制策略是可行的。该整流器具有控制简单、易于数字化实现、在稳态条件下谐波畸变率小于3%、功率因数接近1等特点。     

基于遗传算法优化机器学习模型的地下水潜在性预测

传统机器学习模型在地下水潜在性预测中,未考虑最优因子组合,会对地下水潜在性制图产生不利影响。为此,提出了遗传算法优化支持向量机的地下水潜在性预测方法。以云南省彝良县为研究区,从地形、水文、土壤、地质等方面选取了共15个影响因子;考虑模型性能和影响因子的作用,利用遗传优化算法筛选了包含11个影响因子的最优因子组合;然后使用支持向量机方法构建了地下水潜在性预测模型;最后计算了因子优化前后的模型准确度和受试者工作特性曲线下面积（area under curve,AUC）,并绘制了模型的受试者工作特性（receiver operating characteristic,ROC）曲线和地下水潜在性预测图。结果表明：因子优化前模型的准确度为0.774,验证集AUC为0.789,因子优化后模型的准确度为0.777,验证集AUC为0.806,分别提高了0.003和0.017。可见,所提方法的准确性、可靠性优于传统的支持向量机法,其结果可以为区域水文地质调查和地下水资源管理与规划提供科学参考。     

基于改进势场法的智能车超车动态路径规划

为了改进人工势场法(APF)在智能车高速超车状态下规划出的轨迹规范性差、安全性得不到保障、以及路径不平滑的问题。通过设计用于指引智能车换道的换道引力势场,以保证换道轨迹的规范性;构建异向分布结构的障碍车斥力势场提高换道的安全性;并建立带有转向缺口的道路中心线斥力势场和设计平滑代价函数优化规划出的轨迹点,使规划出的路径更加平滑。基于线性二次型调节器(LQR)设计路径跟踪控制器跟踪规划出的路径。通过Simulink与Carsim联合仿真,结果表明所改进的APF算法能规划出更加合理的路径,设计的LQR路径跟踪控制器跟踪误差趋近于零,能够较好地控制车辆完成超车换道。     

基于MaxEnt模型的广东省红豆属植物潜在适生区研究

为了解气候变化情景下广东省红豆属(Ormosia)潜在适生区的变化,探究影响红豆属植物潜在适生区的主导环境因子,本研究基于MaxEnt模型和ArcGIS 10.8软件,利用17种红豆属植物的分布数据及22个环境变量数据,结合未来共享社会经济路径(SSP126、SSP585)的气候情景,分别预测红豆属植物在当前和未来气候场景下的潜在适生区分布情况。结果表明：(1)适生区预测模型的评价效果良好,受试者工作特征曲线(Receiver Operating Characteristic curve, ROC曲线)下面积(AUC平均值)均为0.8-1.0。(2)在当前气候情景下,大面积(占广东省面积的40%-100%)适生的红豆属植物有茸荚红豆(Ormosia pachycarpa)等3种;中等面积(占20%-40%)适生的有薄毛茸荚红豆(O.pachycarpa var.tenuis)等6种;小面积(占5%-20%)适生的有韧荚红豆(O.indurata)等4种;极小面积(占0%-5%)适生的有凹叶红豆(O.emarginata)等4种。其中面积占比最大的是茸荚红豆,总适生面积为15.228 8...