Detection of the End Point Temperature of Thermal Denatured Protein in Fish and Chicken Meat Through SDS-PAGE Electrophoresis

Sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) was applied in the detection of the end point temperature (EPT) of thermal denatured protein in fish and meat in this study. It was also used in studying the thermal denatured temperature range of proteins in salmon and chicken meat. The results show that the temperature ranges of denatured proteins were from 65 ℃ to 75 ℃ , and these temperature ranges were influenced by the processing methods. Through SDS-PAGE, the features of repeated heating thermal denatured proteins under the same temperature and processing time were studied. The electrophoresis patterns of thermal denatured proteins determined through repeated heating at the same temperature did not exhibit any change. For the detection of cooked fish and meat samples, they were subjected to applying the SDS-PAGE method, which revealed an EPT ranging from 60 ℃ to 80 ℃ .

Quark Number Susceptibility around the Chiral Critical End Point

We calculate the quark number susceptibility （QNS） around the chiral critical end point （CEP）. The CEP is found to be located at （μc,Tc）= （80 MeV, 148 MeV） where μc and Tc are the critical chemical potential and temperature, respectively. The QNS is found to have the highest and sharpest peak at the CEP. It is also found that, when the chemical potential μ is in the range of 60MeV≤ μ ≤ 110MeV, the QNS near the transition temperature is larger than the free field result, which indicates that the space-like damping mode dominates the degree of freedom of motion near the CEP.

End points of clinical trials in metastatic castration-resistant prostate cancer:A systematic review

AIM： To review the defnition and performance of the commonly used end points in trials of systemic thera-pies in metastatic castration-resistant prostate cancer patients. METHODS： A literature search was undertaken on PubMed database to identify studies meeting estab-lished criteria, with the aim of selecting randomized clinical trials and study definition and performance of their end points. The end points were grouped into three categories： overall survival （OS）, time-to-event end points, and response end points. A special analysis was performed for secondary end points of the studies which documented a beneft in OS in the experimental arm. Finally, publishes analyses for surrogacy of the in-cluded end points were also reported. RESULTS： OS, time-to-event and response end points in 31 selected trials were analyzed. OS was the pri-mary end point in 14 trials, and the secondary end point in 17. A time-to-event end point was the primaryend point in 8 studies, and the secondary end point in 22; the most reported time-to-event end points were composite end points, and the events changed among trials. A response end point was the primary end point in 9 studies, in 3 it was prostate-specifc antigen （PSA）-related, in 3 pain-related and in 3 mixed. A response end point was the secondary end point in 19 studies： PSA response and radiologic response were the most frequently used secondary end points in 19 and 11 tri-als, respectively, while pain response was used in 5 studies.CONCLUSION： A homogeneous defnition of progres-sion in future trials is mandatory. Among response end points, pain-response and PSA-response appear to be the most reliable.

Locating the QCD critical end point through peaked baryon number susceptibilities along the freeze-out line

We investigate the baryon number susceptibilities up to fourth order along different freeze-out lines in a holographic QCD model with a critical end point（CEP）, and we propose that the peaked baryon number susceptibilities along the freeze-out line can be used as a clean signature to locate the CEP in the QCD phase diagram.On the temperature and baryon chemical potential plane, the cumulant ratio of the baryon number susceptibilities（up to fourth order） forms a ridge along the phase boundary, and develops a sword-shaped ＂mountain＂ standing upright around the CEP in a narrow and oblate region. The measurement of baryon number susceptibilities from heavy-ion collision experiments is along the freeze-out line. If the freeze-out line crosses the foot of the CEP mountain, then one can observe the peaked baryon number susceptibilities along the freeze-out line, and the kurtosis of the baryon number distributions has the highest magnitude. The data from the first phase of the beam energy scan program at the Relativistic Heavy Ion Collider indicates that there should be a peak of the kurtosis of the baryon number distribution at a collision energy of around 5 Ge V, which suggests that the freeze-out line crosses the foot of the CEP mountain and the summit of the CEP should be located nearby, around a collision energy of 3–7 GeV.

The entanglement properties of holographic QCD model with a critical end point

We investigated different entanglement properties of a holographic QCD(hQCD)model with a critical end point at the finite baryon density.Firstly,we considered the holographic entanglement entropy(HEE)of this hQCD model in a spherical shaped region and a strip shaped region.It was determined that the HEE of this hQCD model in both regions can reflect QCD phase transition.Moreover,although the area formulas and minimal area equations of the two regions were quite different,the HEE exhibited a similar behavior on the QCD phase diagram.Therefore,we assert that the behavior of the HEE on the QCD phase diagram is independent of the shape of the subregions.However,the HEE is not an ideal parameter for the characterization of the entanglement between different subregions of a thermal system.As such,we investigated the mutual information(MI),conditional mutual information(CMI),and the entanglement of purification(Ep)in different strip shaped regions.We determined that the three entanglement quantities exhibited some universal behavior;their values did not change significantly in the hadronic matter phase but increased rapidly with the increase in T andμin the QGP phase.Near the phase boundary,these three entanglement quantities changed smoothly in the crossover region and continuously but not smoothly at CEP;they exhibited discontinuous behavior in the first phase transition region.These properties can be used to distinguish between the different phases of strongly coupled matter.

A MAXIMUM PRINCIPLE FOR DISTRIBUTED PARAMETER SYSTEMS WITH MIXED PHASE-CONTROL CONSTRAINTS ANDENDPOINT CONSTRAINTS

This paper considered the optimal control problem for distributed parameter systems with mixed phase-control constraints and end-point constraints. Pontryagin's maximum principle for optimal control are derived via Duboviskij-Milujin theorem.

Application of variable-filtrating technique on fuzzy-reasoning neural network system predicting BOF end-point carbon content

Artificial intelligence techniques have been used to predict basic oxygen furnace(BOF) end-points. However,the main challenge is to effectively reduce the input nodes as too many input nodes in neural network increase complexity,decrease accuracy and slow down the training speed of the network.Simply picking-up variables as input usually influence validity of model.It is quite necessary to develop an effective method to reduce the number of input nodes whereby to simplify the network and improve model performance.In this study,a variable-filtrating technique combining both metallurgical mechanism model and partial least-squares(PLS ) regression method has been proposed by taking the advantages of both of them,i.e.qualitive and quantative relationships between variables respectively.Accordingly,a fuzzy-reasoning neural network(FNN) prediction model for basic oxygen furnace(BOF) end-point carbon content based on this technique has been developed.The prediction results showed that this model can effectively improve the hit rate of end-point carbon content and increase network training speed.The successful hit rate of the model can reach up to 94.12%with about 0.02% error range.

Robust Speech Endpoint Detection in Airplane Cockpit Voice Background

A method of robust speech endpoint detection in airplane cockpit voice background is presented. Based on the analysis of background noise character, a complex Laplacian distribution model directly aiming at noisy speech is established. Then the likelihood ratio test based on binary hypothesis test is carried out. The decision criterion of conventional maximum a posterior incorporating the inter-frame correlation leads to two separate thresholds. Speech endpoint detection decision is finally made depend on the previous frame and the observed spectrum, and the speech endpoint is searched based on the decision. Compared with the typical algorithms, the proposed method operates robust in the airplane cockpit voice background.

深冲钢炼钢区段专线化层流运行模式实践

鉴于某钢厂深冲钢炼钢区段运行效率较低、能量耗散较大、过程稳定性较差等问题,对炼钢区段各工序内时间-事件进行解析,协调优化各工序作业时间;并结合生产线特点,构建“一对一”层流专线化生产路径。生产实践表明:采用专线化层流运行模式生产深冲钢,可避免前、后工序间交叉运行时铁素流在空间、时间、能耗上的不确定性;工序间链接时间缩短,炼钢区段总作业时间从247.9 min缩短至193.5 min;过程能量耗散减少,转炉终点温度从1671.7℃降至1653.9℃。

特发性膜性肾病患者Nomogram预测模型的构建

目的通过Nomogram列线图建立一个用于预测特发性膜性肾病患者预后的模型。方法选择2018年1月~2020年12月在承德医学院附属医院首次住院并行肾穿刺活检术确诊为特发性膜性肾病(IMN)的初诊初治患者195例,并进行24个月的随访。根据随访结束时是否出现肾终点事件,将患者分为2组,分别为肾脏终点组和未达到肾脏终点组。将纳入单因素Logistic分析中P<0.2的影响因素进行多因素Logistic回归分析,按照赤池信息准则(AIC)选取最优Logistic回归模型构建IMN患者预后不良的预测模型。结果用于预测IMN预后不良预测模型的预测因子包括:年龄、平均动脉压、肾穿刺前病程、白蛋白、血肌酐。IMN患者的受试者工作特性曲线下面积(AUROC)为0.729。校准曲线的Hosmer-Lemeshow检验的统计值为1.44(P=0.49)。决策曲线(DCA)显示IMN的预测概率值在0.17至0.44之间时本模型临床适用。结论本研究构建了用于预测IMN患者预后不良的预测模型,该预测模型的预测能力、校准能力和临床净获益良好,有助于预测IMN患者的预后。

基于点云分割网络的雷达信号分选方法

针对现有基于图像分割的端到端雷达信号分选方法存在的像素点重叠与处理效率不高的问题,该文提出一种基于点云分割网络的端到端分选方法。首先将雷达脉冲流的脉冲描述字(PDW)映射为点云;之后利用点云分割网络(PointNet++)对该点云中各点依据其所属辐射源进行分割;最后将具有相同标签的点聚类形成脉冲集合,分别提取各脉冲集合所包含的辐射源并形成相应的辐射源描述字。仿真结果表明:所提方法能够有效对未知雷达信号进行分选,在脉冲丢失和虚假脉冲干扰的分选环境下也表现出较强的可靠性与稳定性,并且由于采用具有轻量化特点的模型使得该方法的执行效率更高。

丘陵果园自然环境下柑橘采摘机器人设计与试验

智慧果园是未来果园行业发展的趋势,智能化果实采摘是发展智慧果园的关键问题。为实现智能化果实采摘,本文搭建了一种适用于丘陵果园矮化栽培模式下的柑橘采摘机器人系统。针对丘陵果园垄间地面凹凸不平,存在地形倾斜角0°~20°,设计了一种自适应调平平台保持机械臂基座水平;通过视觉系统获取多幅点云图像建立果树的三维点云模型,获取果实位置信息;为避免采摘时造成果实损伤,结合柑橘类水果的采摘特点,设计了一种剪切夹持一体化的末端执行器完成柑橘采摘。针对果园自然环境的主要扰动因素(风和光照)进行分级,设置10组对比试验,结果表明:在低光照或正常光照条件下,平均果实定位准确率为82.5%,末端执行器夹取成功率为87.5%,平均采摘时间最短为12.3 s/个;高光照条件下平均果实定位准确率为72%,末端执行器夹取成功率为80%,平均采摘时间最短为12.5 s/个。

城市更新的机会成本和边际成本

城市更新上升为国家意志,但更新理论对“更新起点决策”和“更新终点决策”两个更新基本问题研究处于空白,对更新实践的支撑力和解释力不足。从现有更新研究中的两个误区入手,指出现有研究对更新起点和更新终点的论断与现实情况存在落差,借助微观经济学和超边际理论的分析工具,从机会成本和边际成本角度构建了“更新起点决策”和“更新终点决策”两个理论模型,通过对两个模型的拟合,形成了“起点-终点全过程决策”框架,依据该框架提出了“城市更新精明决策”思路,指出改进起点决策的“更新专业化分工”和“更新起点信贷”策略,改进终点决策的“设施触媒”和“更新底线管控”策略。为更新决策的底层逻辑分析和决策改进提供了新研究视角。

基于SSA−LSTM的转炉炼钢终点锰含量预测

锰是钢铁中重要的合金元素,加入适量锰元素能提高钢铁的性能.在转炉炼钢过程中锰元素的含量直接影响钢铁质量,锰元素加入过少会导致钢铁产品的硬度和强度不足,锰元素加入过量会导致钢铁过脆和生产成本增加.因此,合适的锰元素添加量对提升钢铁质量与减少冶炼成本具有重要意义.转炉炼钢过程中锰元素的添加量主要通过终点锰预测的结果来确定,然而,终点锰含量多少受到多个因素的综合影响,其中包括氧化反应进程和合金中其他元素的添加量,影响因素呈现非线性、高耦合的特征,导致终点锰预测难度大.针对转炉炼钢终点锰预测过程中数据有含噪声、强耦合性等问题,提出了一个转炉炼钢终点锰含量预测研究架构,基于长短期记忆网络(Long Short-term memory,LSTM)预测模型,引入奇异谱分析(Singular spectral analysis,SSA)方法去除终点锰预测过程中非线性、非平稳序列的高频噪声,提出了一种基于SSA−LSTM的终点锰含量预测方法.利用河北敬业钢铁有限公司转炉炼钢生产数据验证所提预测方法的平均绝对误差为1.19%,均方根误差为1.48%.结果表明,该方法能够解决数据存在较多噪声及非线性等问题;与已有的时间序列预测方法相比,经过SSA处理的预测误差均有所减小,证明了该方法的有效性,为实际生产过程中精准加入合金提供了依据.

基于机器学习的转炉冶炼终点残锰含量预测

钢水锰含量控制主要在转炉炉后脱氧合金化阶段实现,转炉终点锰含量的准确获取对于锰合金加入量的确定具有重要影响,进而影响到钢水锰含量的精确控制。利用某钢厂转炉1500炉次历史冶炼生产数据,采用支持向量回归算法(SVR)、轻量级梯度提升机算法(LGBM)、分类梯度提升算法(CatBoost)对转炉终点残锰含量进行了预测,再使用贝叶斯优化算法(BayesSearchCV,BOA)分别对其优化。结果表明,贝叶斯优化后的CatBoost算法(BOA-CatBoost)效果最好,其决定系数R^(2)、均方误差MSE和均方根误差RMSE分别可达到0.712,0.000048和0.007021。残锰质量分数真实值与预测值的误差在±0.010、±0.008范围内,残锰含量预测命中率分别可达到83.2%和76.2%。

酱香型白酒下沙到四轮次酒醅堆积终点特征研究

为探究酱香型白酒酒醅不同阶段堆积终点的特征,对贵州省某酒庄的53口窖池从下沙到四轮次酒醅进行理化及微生物指标的检测,并分析各轮次酒醅堆积终点时各指标对基酒产量与基酒品质的相关性。研究表明,随着轮次的增加,酒醅的温度、酸度、水分、发酵力呈明显的上升趋势;淀粉含量呈显著下降趋势(P<0.05);L-乳酸和葡萄糖含量整体呈上升趋势;乙醇含量、拜尔接合酵母(Zygosaccharomyces bailii)数量、酵母菌活菌率表现为前期快速上升,二轮次后趋于水平的状态。糖化力呈现先降低后水平波动的趋势;酿酒酵母和酵母总数总体变化不大。相关性分析结果表明,与基酒产量、基酒品质显著相关的指标有10个(P<0.05),分别是为水分、乙醇、拜尔接合酵母、乳酸、酿酒酵母、酸度、淀粉、葡萄糖、温度、发酵力。其中,水分、乙醇含量、葡萄糖含量对基酒的影响最大,且水分、乙醇含量对基酒的影响主要是正相关,葡萄糖含量对基酒的影响主要是负相关。

茂金属聚乙烯薄膜晶点的组成及形成原因

采用凝胶渗透色谱仪(GPC)、差示扫描量热仪(DSC)、偏光显微镜以及红外光谱等分析手段,从原料的分子链结构分析了茂金属聚乙烯薄膜晶点的组成及其形成原因。结果表明,茂金属聚乙烯薄膜晶点的结晶形态与无晶点的正常薄膜的不同,构成晶点的晶体尺寸均匀性远不如无晶点的正常薄膜,这是因为晶点中含有类似于纤维状的晶体,这种晶体先结晶,导致随后形成的晶体在此处生长不均匀。此外,分子链上的端基双键(RCH CH 2)在吹膜过程中引起的分子间交联和分子链中存在的亚甲基序列较长的规整结构,是形成类纤维状晶体的主要因素,而较长亚甲基序列的规整结构是由于共聚单体分布不均匀引起的。

基于神经网络的基层智慧型融媒体系统传播能力预测方法

随着基层智慧型融媒体系统在各地的应用越来越广泛,为实现系统长期传播能力的预测,设计基于神经网络的基层智慧型融媒体系统传播能力预测方法。基于改进数据集结构设计高效用数据挖掘算法,实施基层智慧型融媒体系统结构、时间、文本、用户信息的挖掘。对于挖掘信息,设计异常事件检测模型对其实施数据异常事件检测,使用差分综合移动平均自回归模型实施单点噪声的修复。构建一种基于上下文依赖的动态图注意网络作为基层智慧型融媒体系统传播能力预测模型,由建模传播动态图模块、时—空依赖学习模块与预测模块构成,其输入为处理后的信息,输出信息为基层智慧型融媒体系统传播规模预测增量。实验结果表明,该方法预测用户列表精度整体较高,最高达到98.95%,预测用户列表召回率整体较高,最高达到97.24%。

改进的激光雷达线段特征提取方法

针对现有激光雷达(LiDAR)特征识别算法线段特征识别不够准确的问题,提出了一种改进的LiDAR线段特征识别算法。首先,基于改进的斜率差算法将连续的点进行聚类,找出所有的角点、断点和散点,并以断点为特征分割点集;接着,利用连续边缘跟踪算法剔除假断点;然后,使用改进的迭代适应点(IEPF)算法筛选基于斜率差算法找出的所有角点,得到真实的角点。最后,对分割并筛选后的特征点集进行最小二乘拟合,从而得到特征线段。实验结果表明:该方法相对现有特征识别算法在角点和断点的识别准确性上更高,因此提取的特征线段的长度鲁棒性也更好。

北京艺术中心暖通空调系统与装饰设计结合要点

剧院项目集演出、艺术创作和现场体验等功能于一体,暖通空调能提供舒适、安全和功能良好的环境非常重要。暖通与装饰的配合,既要满足规范要求,也要实现空调效果,同时也要满足装饰美观度及硬装造型的需求。研究主要从风口、检修口、挡烟垂壁、手动按钮、地暖、热风幕和地板对流器等角度,总结与装饰配合的设计要点及应用。通过分享暖通与装饰结合中常见点位配合,结合具体空间应用及分析,帮助设计师更快更准设计暖通专业相关点位,同时为装饰与暖通的完美结合提供有力支撑。