不同乳酸菌在毛酸浆发酵中的特性研究

为比较嗜热链球菌（Lactobacillus plantarum）（L1）、保加利亚乳杆菌（Lactobacillus bulgaricus）（L2）、瑞士乳杆菌（Lactobacillus helveticus）（L3）、植物乳杆菌（Lactobacillus plantarum）（L4）、短乳杆菌（Lactobacillus brevis）（L5）和干酪乳杆菌（Lacbobacillus casei）（L6）在毛酸浆发酵中的特性,研究发酵过程中总酸含量、活菌数和色泽的变化。结果表明,发酵过程中,6种乳酸菌活菌数均能维持在8.0 lg（CFU/mL）以上,生长良好,其中乳酸菌L4、L5和L6在毛酸浆中产酸能力较好,最高总酸含量分别为11.85 g/L、10.95 g/L、10.45 g/L,并均能很好地保持发酵液本身的颜色,色差值均＜54.51;当乳酸菌L4、L5和L6按不同接种比例复合发酵毛酸浆果汁时,各处理间活菌数和发酵液颜色变化基本一致,当乳酸菌L4∶L6为3∶2（V/V）进行复合发酵时,最终所得毛酸浆发酵液的总酸含量（17.91 g/L）最高。     

测试片法在食品菌落总数检测中的应用研究

目的 探究菌落总数测试片法检测食品中菌落总数的可行性.方法 用菌落总数测试片法和国家标准方法同时对制备的菌悬液、自然污染食品样品和人工污染食品样品的菌落总数进行检测,采用t-检验分析2种方法检测结果的差异,采用Pearson相关分析确定2种检测方法之间的相关性.结果 菌悬液和自然污染食品样品菌落总数测试片法的变异系数为...     

发酵香肠发酵过程中菌落总数数学模型的建立

用SAS9．0中的响应曲面试验设计,研究了盐浓度、水分活度、发酵温度、发酵时间和糖浓度等环境因子对发酵香肠发酵过程中细菌总数变化的影响,建立科学的数学模型,此数学模型能够表达发酵香肠发酵过程中细菌总数的变化趋势。用建立的数学模型对发酵过程中的微生物进行了预测,结果可靠。细菌总数与实验测定数据进行比较,平均误差范围是-10．20％～8．43％。此数学模型为发酵香肠发酵过程的控制,提高发酵肉制品的安全性,缩短生产周期提供了依据,也是微生物预报的重要基础。     

细特大麻/棉混纺纱的开发

大麻纤维较粗,与棉纤维混纺抱合力差,成纱条干差,麻粒多,产品以27．8tex以上居多。使用改性处理后的大麻纤维,在棉纺设备上进行部分改造,并配以合适的工艺,可以生产出条干均匀、麻粒少的细特大麻／棉混纺纱,可广泛用于机织和针织。     

精梳特细号纱推行高效工艺的生产实践

在精梳特细号纱生产过程中进行了加大半成品定量、提高细纱总牵伸倍数的工艺试验,对比了普通工艺与高效工艺的成纱质量,并根据优选出的工艺参数在JC9．7tex、JC7．3tex、JC5．8tex纱生产中推广了高效工艺,推广后成纱质量稳定,使设备效能得到了较大发挥。     

干涉式非接触眼压计中AT89c51控制系统

文中详细介绍干涉式非接触眼压计中的AT89c51单片机控制系统。AT89c51单片机以串行控制方式驱动步进电机,由定时器中断控制电机运行速度,同时对弱光检测单元获得的脉冲信号进行计数并显示。     

久坐人群无器械训练动作识别与计数算法研究

针对久坐人群长期缺乏运动导致身体呈现亚健康状态和现有训练方法缺乏监督性的现状,提出一种人体动作识别与计数方法实现4种无器械训练动作精准识别与计数.以手机摄像头捕获训练者的视频信息作为输入,通过BlazePose网络模型处理得到的人体骨骼点数据经过数据滤波处理、特征提取后,利用3种常见的机器学习算法进行动作分类,将分类的...     

基于国产InGaAs/InP APD的高速单光子探测

InGaAs/InP雪崩光电二极管(InGaAs/InP APD)是近红外单光子探测器的核心器件之一,其国产化已成为趋势.InGaAs/InP APD工作于1.25 GHz门控盖革模式下,由于APD本身的电容特性,单光子触发产生的雪崩电信号被尖峰噪声所湮没,采用低通滤波的方法可以将有效雪崩信号从尖峰噪声提取出来.为了探讨国产APD的参数水平,对不同温度不同探测效率下国产InGaAs/InP APD的暗计数及后脉冲概率,时间抖动性等相关性能参数进行了测量,并与国外数据进行了对比.当国产InGaAs/InP APD工作于-25 ℃,探测效率10 ％时,暗计数可低至9.9 X10 7/gatc,后脉冲仅为1.5这表明在InGaAs/InP APD这一领域,我国已接近国外水平,但仍有一定的进步空间.     

Delays caused by motorized vehicles unable to clear intersections in China： Graphical analysis

In many Chinese cities,motorized vehicles （M-vehicles） move slowly at intersections due to the interference of a large number of non-motorized vehicles （NM-vehicles）.The slow movement makes a part of M-vehicles fail to leave intersections timely after the traffic signal tums red,and thereby conflicts between vehicles from two directions occur.The phenomenon was analyzed graphically by using the cumulative vehicle curve.Delays in three cases were modeled and compared：NM-vehicle priorities and M-vehicle priorities with all-red intervals unable to release all vehicles,and longer all-red intervals ensuring release all vehicles.Marginal delays caused by two illegal behaviors that occasionally happened in mixed traffic intersections were also investigated.It is concluded that increasing the speed of M-vehicles leaving intersections and postponing the entering of NM-vehicles are the keys in mathematics,although they are uneasy in disordered mixed traffic intersections due to a dilemma between efficiency and orders in reality.The results could provide implications for the traffic management in the cities maintaining a large number of M-and NM-vehicles.     

Unbiased estimation of inner product via higher order count sketch

Count sketch [1] is one of the popular sketching algorithms widely used for frequency estimation in data streams, and pairwise inner product for real-valued vectors [2]. Recently, Shi et al. [3] extended the count sketch (CS) and suggested a higher-order count sketch (HCS) algorithm that compresses input tensors (or vectors) into succinct tensors which closely approximates the value of queried features of the input. The major advantage of HCS is that it is more space-efficient than count sketch. However, their paper didn't comment on estimating pairwise inner product from the sketch. This note demonstrates that HCS also closely approximates the pairwise inner product. We showed that their sketch gives an unbiased estimate of the pairwise inner product, and gives a concentration analysis of the estimate.