Effect of microwave heating time on the gel properties of chicken myofibrillar proteins and their formation mechanism

The present work was conducted to illustrate the mechanism of gel formation of myofibrillar proteins (MPs) under different microwave heating times. The results showed that the denaturation enthalpy (ΔH) of the MPs significantly decreased when the heating time increased from 3 to 9 s and then completely disappeared as the heating time progressed, indicating that the MPs gradually denatured and subsequently aggregated with increasing heating time, which was further verified by the changes in the secondary structure, electrophoretic bands, and gel properties (e.g., water holding capacity and textural profiles) of the MPs. Microstructural images indicated that the MP gel formed under 12 s had the most compact network, indicating that extended microwave heating time could induce quality deterioration of MP gels. Moreover, the hydrophobic forces, electrostatic forces, and disulphide bonds of the MPs gradually intensified with increasing microwave heating time, suggesting that both non-covalent and covalent bonds could promote molecular denaturation and subsequent aggregation of MPs. In addition, correlation analysis revealed that the changes in the molecular conformation of MPs induced by different microwave heating times could effectively regulate the formation of MP gels and their related properties.     

用过滤工艺全面提高铸锭质量

探讨了过滤器孔径对6063铝合金铸锭组织和性能的影响规律。在此基础上指出,在过滤工艺恰当时,不仅可以减少铸锭中的夹杂物,而且可以有效地防止裂纹、羽毛晶等连续铸锭中的常见缺陷。     

SRTM数据在重力勘探中的分析和应用

SRTM数据具有统一的基准和精度以及可计算性等特点，应用于重力勘探项目的投标报价、工期预测、工区踏勘、设计编写、生产安排、人员调度及风险评估等方面，能提高生产效率和节约成本。本文对具体实测的SRTM数据进行了对比和分析，并结合OziExplorer和GlobalMapper网络公开软件，介绍了该数据在实际生产中的应用。     

1270轧机弹性曲线的回归及参数估计

首先介绍了轧机弹性曲线的基础知识及 1 2 70轧机AGC系统的基本结构 ,然后论述了数据采集的方法 ,最后根据最小二乘法得到轧机弹性曲线的回归模型及刚度系数的实验结果。     

金刚石膜氧化行为的TGA分析

采用热重分析法(TGA)对直流等离子体喷射制备的金刚石膜在空气中的氧化行为进行了研究,结果表明;直流等离子体喷射制备的金刚石膜氧化激活能为220KJ/mol,与天然金刚石的氧化激活能相当.用扫描电子显微镜(SEM)和Raman光谱对金刚石膜氧化前后的形貌和成分作了分析.结果表明金刚石膜在空气中氧化优先刻蚀晶界和孔隙,孔隙不断增加,晶界瓦解,金刚石膜成为一个个柱状单晶粉末;金刚石膜氧化前后未出现石墨或其它中间产物.     

基于纹理特征与随机森林的生态声音识别

针对真实环境中普遍存在的非平稳噪声,提出一种基于纹理特征与随机森林的生态声音识别方法。该方法首先使用一种基于噪声估计的音频增强算法,即短时谱估计对输入端声音信号进行前端处理,得到增强信号功率谱;然后根据得到的增强信号功率谱图的纹理信息,采用和差统计法对其进行纹理特征提取;最后,利用基于决策树的组合分类器,即随机森林进行识别和分类。设计了两组对比实验,结果表明该方法不仅有良好的识别性能,而且具有噪声鲁棒性。     

A QoE-based jointly subcarrier and power allocation for multiuser multiservice networks在多业务多用户网络场景下的基于QoE的联合子载波和功率资源分配

Quality of experience (QoE) is widely applied to reflect user’s satisfaction of the network service, which exactly conforms to the user-centric concept in 5G. In this paper, we propose a QoE-based subcarrier and power allocation algorithm for the downlink transmission of a multiuser multiservice system. For the subcarrier allocation algorithm, the rate proportional fairness factor is defined to ensure the fairness between users. Based on different QoE models of three services, i.e., file down (FD), video streaming and voice over internet protocol (VOIP), a multi-objective optimization method is exploited to allocate the power resource by minimizing the total power consumption and maximizing the mean opinion score (MOS) value of users simultaneously. Simulation results indicate that the proposed algorithm has less power consumption and higher QoE performance than the traditional proportional fairness (PF) algorithm. In addition, the proposed algorithm can achieve nearly the same fairness performance as the PF algorithm. Moreover, when the number of subcarriers becomes larger, the power assumption will be less but with little influence on both the QoE and fairness performances.     

基于GPIO的永磁同步电机模型预测转矩控制

在永磁同步电机模型预测转矩控制(model predictive torque control,MPTC)中,由于目标函数控制变量的量纲不同,为了在代价函数中选取最优的权重系数,提出一种改进高斯变异鸽群算法(Gaussian mutation pigeon-inspired optimization algorithm, GPIO)实现权重系数自整定。首先,基于代价函数最小化原则设计PIO的目标函数,用电流id、iq脉动误差均方根评价权重系数。其次,在传统高斯变异算子的基础上引入自适应调整动态参数实现变异。仿真和实验结果表明,将改进后的算法应用于永磁同步电机模型预测转矩系统,能在较少的迭代次数内整定出最优的权重系数,极大地降低了转矩误差和电流谐波畸变率。     

基于MATLAB和VB神经网络在轧制力预报中的应用

为方便实际应用,结合MATLAB神经网络强大的计算能力和VB友好界面的优势,将二者混合编程,并应用于轧制规程中,规程中采用改进的BP网络LM优化算法对轧制力进行快速预报,通过仿真证明该优化算法能够提高轧制力预报精度,混合编程能降低程序复杂性,提高效率。     

东北红豆杉组织培养的研究

以东北红豆杉（Ｔａｘｕｓｃｕｓｐｉｄａｔａ）的不同外植体进行愈伤组织诱导、继代和再分化培养，结果发现在ＭＳ培养基上，幼叶的出愈率最高，达７８３％，在Ｂ５培养基上，幼基的出愈率最高，达７６０％。诱导愈伤组织最适２，４－Ｄ浓度为２－３ｍｇ·Ｌ－１。经抗氧化剂处理，愈伤组织在改良ＭＳ培养基上经多次继代培养，褐化现象减轻或消失，生长速率最高可达００９０ｇ·ｋｇ－１·ｄ－１（鲜重）。在分化培养基上，由愈伤组织诱导出绿芽点。