Water reuse in a shrimp processing line: Safety considerations using a HACCP approach

The large consumption of water involved in food manufacturing is prompting food processors to optimise the use. Treating and reusing or recycling water within the food plant results in substantial reduction of water use and wastewater production and discharge. If implemented, water reuse should be integrated into existing HACCP programs, and HACCP plans specifically addressed to the actual reuse should be elaborated. This paper evaluates the microbiological safety issues associated with water recycling during the production of shrimps (Pandalus borealis) in brine, and it indicates how the hazards may be effectively controlled using a HACCP approach. Following these procedures, process water recovered from peeling during shrimp processing and treated by means of reverse osmosis could be recycled within the same food unit operation.     

PVA/UiO-66复合薄膜的制备及性能表征

采用溶剂热法合成出了金属有机骨架材料UiO-66,并通过流延法制备出了一系列PVA/UiO-66复合膜。通过红外光谱仪(FTIR)、X射线衍射仪(XRD)、扫描电子显微镜(SEM)、接触角、溶胀度、拉伸强度和透光性等表征方法,详细研究了UiO-66含量对复合膜各种物性的影响。结果表明,PVA在经富马酸交联后,耐水溶胀性和拉伸性能都得到了显著改善。随着UiO-66负载量的提高,复合膜的溶胀度、拉伸强度和透光性能逐渐降低,而水接触角和甘油接触角逐渐增大。     

Mechanical properties and thermal stability of double‐shell thermal‐energy‐storage microcapsules

Double‐shell‐structured microcapsules encapsulating phase‐change materials (micro‐PCMs) with an average diameter of 5–10 μm were successfully fabricated with a melamine–formaldehyde resin as the coating material. The mechanical properties of the obtained piled micro‐PCMs, tested under compression, were evaluated with a pressure sensor. Typical stress–strain curves showed that both the single‐shell‐ and double‐shell‐structured microcapsules had yield points and maximum point pressures. The morphological changes in the shell surface confirmed the existence of yield points by scanning electron microscopy. When the pressure was beyond the yield point, the microcapsules showed conventional plastic behavior, and the double‐shell structure was more mechanically stable than the single‐shell one. Differential scanning calorimetry analysis results revealed that the properties of the phase‐change materials experienced no variation after coating with a single‐shell‐ or double‐shell‐structured polymer. Thermogravimetric analysis showed that the double‐shell‐structured micro‐PCMs experienced a weight loss of only about 5% from 86.3 to 232°C but did so more rapidly from 232 to 416°C. Thermoregulation was determined with periodical heating and cooling tests. The data showed that the micro‐PCMs changed temperature in a narrow range of 20–25°C with a time lag of 20 min to reach the maximum or minimum temperature in comparison with a reference temperature of 18–28°C. © 2006 Wiley Periodicals, Inc. J Appl Polym Sci 103: 1295–1302, 2007     

基于用户长短期兴趣与知识图卷积网络的推荐

基于知识图谱的推荐可以提高推荐的精确性、多样性和可解释性.结合知识图谱与用户长短期兴趣提出了基于用户长短期兴趣与知识图卷积网络的推荐模型(LSKGCN).在知识图谱推荐算法的基础上提出了将用户长期兴趣偏好与短期兴趣偏好结合的用户表示方法.根据时间筛选近期历史项目并通过知识图卷积网络得到历史项目的向量表示,通过注意力机制得到短期兴趣表示.根据与所有历史项目的最小欧氏距离得到长期兴趣表示.最后在真实数据集MovieLens-20、Amazon Music、Last.FM上进行测试,验证了该算法的有效性.     

Optimal Design of Two-Chamber Gas Distributor with CFD Approach

Computational fluid dynamics( CFD) is used to investigate a new type of two-chamber natural gas distributor,which has a natural gas inlet and nine nozzle outlets. The uniformity at the outlet of distributor is practice proven to have significant degree influence on its comprehensive performance. To improve the uniformity at the nozzles of the gas distributor,CFD modeling with the RNG k-ε turbulence model is undertaken to understand the mass flow rate of nozzles with reference to different length of chambers and the most optimal length is obtained. The internal flow pattern of the natural gas distributor is analyzed. It is found that the local maximum deviation of the nozzle outflow rate increases with the increase of chambers length when the length is more than 64 mm. The results provide useful suggestions for the optimal design of two-chamber natural gas distributor.     

求解最大团问题的混合修复遗传算法及其在社会网络中的应用

社会网络分析是数据挖掘中与社会生活联系最紧密的热点之一,凝聚子群分析是一种典型的社会网络子结构分析方法,其中最大团结构是关系最紧密的凝聚子群,最大团问题的研究在社会网络分析中有重要意义。针对遗传算法在求解最大团问题中运行时间长、部分基准图例求解精度不高等问题,提出了一种基于混合修复策略的遗传算法MGA。MGA算法融合度修复和随机染色体修复方法并结合随机配对的精英选择、均匀块交叉和倒位变异算子,可以有效避免算法陷入局部最优,在加快收敛速度和丰富种群多样性方面有明显效果。算法在DIMACS基准图例和典型的社会网络实例上进行了测试,实验结果表明MGA算法具有较好的求解精度和较快的收敛速度。     

城市河湖湿地景观价值评估方法研究

城市河湖湿地作为城市社会经济发展的重要资源已越来越被社会广泛重视。通过对城市河湖湿地景观价值的分析,构建了适应城市河湖湿地景观价值的评价体系,并利用意愿价值评估法和旅行费用法等方法实现对评价体系的指标量化,用价值工程理论来综合衡量工程景观价值的功效,为开展城市河湖湿地改造的投资决策提供经济评价支持。最后结合实例介绍了该方法的具体应用。     

集成一体化智能熔点仪的设计

介绍由微控制器（单片机）、温度传感器、加热系统、搅拌系统、键盘和LCD显示等组成的集成一体化智能熔．最仪的工作原理,阐述其硬件电路结构和软件程序设计,并进行反复实验。实验结果表明：该仪器控温精度达到4-0．2℃,线性升温误差不超过0．5％,各项指标符合国家药典标准,具有硬件结构简单、软件算法科学的特点,能够低成本、高精度地实现对温度的控制。     

基于B/S信息系统的分层树形任务评价模式

阐述基于B/S模式网络信息系统环境下企业各级任务逐层分解、以树形关系管理的流程模式以及以任务、创新业绩评价指标模型为基础的评价、监督和多级反馈模式。任务的分解、树形关联关系的确立以及多级反馈模式是以企业部门的层次结构为框架、部门所属岗位为基点、人员之间的领导关系为纽带,运用计算机编码技术实现的。该系统以务实的指标体系、实用的评价流程解决了企业对知识型员工工作能力、创新能力评价及趋势分析等问题,为知识型员工评价的客观性、公平性、及时性提供了技术保障。     

基于改进VGG网络的单体热电池X光图像无损检测方法研究

为解决单体热电池生产中出现的安装错误、人工检测耗时耗力的问题,提出一个结合迁移学习和卷积 神 经网络(convolutional neural network,CNN) 的单体热电池缺陷检测模型。首先,对数据集图像进行裁剪、加噪等预处理,以VGG16(visual geometry group 16) 网络作为 模型的骨干架构,在瓶颈层后增添选择性核(selective kernel,SK) 卷积;然后,增添全局平均池化(global average pooling,GAP) 层, 增加Dropout层及添加 L2 正则化等微调操作,得到单体热电池缺陷检测模型Q-VGGNet;最后,在大型公开数据集ImageNet上进 行预训练学习,将获得的权重参数迁移到单体热电池图像识别模型Q-VGGNet上。测试实验表明:6种 网络模型对数据集缺陷图像的总体识别准确率分别达到了98.39%、94.44%、97.27%、96.34%、93.71%、 95.61%,Q-VGGNet网 络模型 对合格图像和 漏装负极、极耳断裂、漏装集流片3种缺陷图像 识别准确率 分别达到了99.6%,95.9%,99.6%和98.4%。检测结果表明:该方法能够更准确、快速地检测热电池缺陷, 拥有良好的缺陷诊断能力,较传统方法提高近3%,为人工检测单体热电池缺陷提供了良好的解决途径。