Vertex-Edge Degree Based Indices of Honey Comb Derived Network

Chemical graph theory is a branch of mathematics which combines graph theory and chemistry. Chemical reaction network theory is a territory of applied mathematics that endeavors to display the conduct of genuine compound frameworks. It pulled the research community due to its applications in theoretical and organic chemistry since 1960. Additionally, it also increases the interest the mathematicians due to the interesting mathematical structures and problems are involved. The structure of an interconnection network can be represented by a graph. In the network, vertices represent the processor nodes and edges represent the links between the processor nodes. Graph invariants play a vital feature in graph theory and distinguish the structural properties of graphs and networks. In this paper, we determined the newly introduced topological indices namely, first -degree Zagreb index, first -degree Zagreb index, second -degree Zagreb index, -degree Randic index, -degree atom-bond connectivity index, -degree geometric-arithmetic index, -degree harmonic index and -degree sum-connectivity index for honey comb derived network. In the analysis of the quantitative structure property relationships (QSPRs) and the quantitative structureactivity relationships (QSARs), graph invariants are important tools to approximate and predicate the properties of the biological and chemical compounds. Also, we give the numerical and graphical representation of our outcomes.     

高效可撤销的身份基在线离线加密方案

身份基加密（IBE）需要提供一种有效的成员撤销机制，然而，现有可撤销成员的IBE方案存在密钥更新和加密运算量过大的问题，可能使执行该操作的设备成为系统的瓶颈。将完全子树方法和在线离线技术相结合，通过修改指数逆类型IBE的密钥生成和加密算法，提出了一种高效可撤销的身份基在线离线加密方案。方案利用完全子树方法生成更新钥，使得撤销用户无法获得更新钥，进而失去解密能力；利用在线离线技术，将大部分加密运算在离线阶段进行预处理，使得在线阶段仅执行少量简单计算即可生成密文。与相关知名方案相比，该方案不仅提高密钥生成中心的密钥更新的效率，而且极大减少了轻量级设备的在线加密工作量，适合于轻量级设备保护用户隐私信息。     

Topological Characterization of Book Graph and Stacked Book Graph

Degree based topological indices are being widely used in computer-aided modeling, structural activity relations, and drug designing to predict the underlying topological properties of networks and graphs. In this work, we compute the certain important degree based topological indices like Randic index, sum connectivity index, ABC index, ABC₄ index, GA index and GA₅ index of Book graph B_n and Stacked book graph B_m,n. The results are analyzed by using edge partition, and the general formulas are derived for the above-mentioned families of graphs.     

Quality and nutritional characteristics of traditional curd cheese enriched with thermo-coagulated acid whey protein and indigenous Lactococcus lactis strain

Consumer interest in a healthy lifestyle and health-promoting natural products is a major driving force for the increasing global demand for bio-functional and sustainable dairy foods. Supplementation of curd cheese with thermo-coagulated acid whey protein (TAWP) led to 8–10% higher contents of moisture, 23–31% of lactose, 12–13% of unsaturated, 5–6% of monounsaturated, 63% of polyunsaturated, and 3–4% of long-chain fatty acids. Lipid quality indices – TI, AI, h/H, and Omega 6/3 among others, were also significantly better than those of control cheese. The addition of indigenous Lactococcus lactis strain enhanced the flavour of cheese samples, decreased the counts of yeast and mould up to 1 log cfu g⁻¹ after 10 days of storage. The replacement of curd with TAWP resulted in novel cheese with overall sensory perception above 77 points and added nutritional and functional value, however, body and texture parameters of modified cheese samples require an improvement.     

贵州糍粑辣椒的制作工艺

本研究以贵州花溪辣椒、遵义朝天椒、贵州灯笼椒3种干辣椒为主要原料;盐、姜、蒜、料酒、辣椒籽为辅料在传统糍粑辣椒制作基础上进行工艺优化。在单因素试验的基础上,采用Box-Behnken响应面法对糍粑辣椒进行工艺优化,确定最佳配比。研究表明:贵州花溪干辣椒、遵义干朝天椒、贵州干灯笼椒配比为3:2:3(2.60 g:1.70 g:2.60 g),姜蒜比为1:1(2.14 g:2.14 g),辣椒籽炒制时间为30 s(0.83 g),盐含量为1.50 g,料酒含量0.50 mL,煮制时间为6 min,此条件下制作的糍粑辣椒感官评分为93.87±1.60,制作出来的糍粑辣椒不仅色泽鲜艳、香味浓郁、辣感适中、质地均匀,风味独特,各项理化指标、微生物指标均符合贵州糍粑辣椒的地方安全标准,具有良好的产品质量特色,为糍粑辣椒的工业化开发和推广提供了一定的理论基础。     

基于人工神经网络的矿业城市循环经济综合指标评价

通过参考不同的循环经济评价体系,构建了一套新的矿业城市循环经济评价体系。提出了一种构建指标和它们的权重的实践方法,并且讨论了使用改进BP神经网络方法评价矿业城市循环经济发展的原理。改进的BP神经网络方法是一种极好的矿业城市循环经济发展的综合评价方法。     

煤炭质量控制问题的研究

分析了目前煤炭企业质量控制管理中存在的问题和原因,提出了解决煤炭质量控制问题应以市场为导向,科学地确定煤炭质量控制的指标、重点控制工序、因素,以及围绕重点控制,制定相应的控制标准和对策。     

企业战略成本管理业绩的动态综合评价方法及应用

建立了企业战略成本管理业绩评价的指标体系，提出了具有时间、指标、方案三维结构的时序多目标理想矩阵模型，实现了企业战略成本管理业绩的多目标动态综合定量评价，并利用实际数据验证了模型的有效性.     

应用RMI指标进行工程岩体分类的方法

RMI岩体分类法成功地吸收了CSIR和NGI分类法的优点，能更好地反映岩块强度和结构面性态对岩体强度的影响，可适用于任何“完整－破碎”岩体的工程分类。本文详细阐述了该方法的基本原理、分类步骤以及参数的确定，并与其它分类法进行了比较。     

改进的边坡岩体稳定性预测模型研究

由于边坡岩体的结构与物理力学性质表现出宏观和微观上的不连续性和高度的非线性等特点,其稳定性受地质因素和工程因素等的综合影响,这些因素大部分具有随机性、模糊性、可变性等不确定性特点,因此,边坡工程是不确定的、非线性的、动态开放性的复杂大系统,传统分析方法往往难以准确地描述这种复杂的非线性特征,因而对大型复杂边坡的稳定性进行准确预测预报尚存在一定的困难。提出了基于模拟退火交替迭代算法神经网络的边坡安全系数预测方法,在相同的初始条件下,用该方法和经典网络进行了比较,得出前者的优越性和有效性。在综合分析边坡岩体变形失稳破坏模式及其影响因素的基础上,采用了表征边坡岩体稳定性分析的复合指标为预测模型的影响因子。并利用该方法对收集到的水电工程边坡实例进行学习,对未学习过的边坡实例进行推广预测,取得了较好的效果,其预测精度明显优于经典算法BP神经网络。由此说明所提出的预测模型能够快速、准确地获取不同方案下的边坡安全系数,为选择经济合理的边坡设计方案提供了新的思路。