Mutual information maximizing GAN inversion for real face with identity preservation

Recent generative adversarial networks (GANs) have yielded remarkable performance in face image synthesis. GAN inversion embeds an image into the latent space of a pretrained generator, enabling it to be used for real face manipulation. However, current inversion approaches for real faces suffer the dilemma of initialization collapse and identity loss. In this paper, we propose a hierarchical GAN inversion for real faces with identity preservation based on mutual information maximization. We first use a facial domain guaranteed initialization to avoid the initialization collapse. Furthermore, we prove that maximizing the mutual information between inverted faces and their identities is equivalent to minimizing the distance between identity features from inverted and original faces. Optimization for real face inversion with identity preservation is implemented on this mutual information-maximizing constraint. Extensive experimental results show that our approach outperforms state-of-the-art solutions for inverting and editing real faces, particularly in terms of face identity preservation.     

Data fusion and transfer learning empowered granular trust evaluation for Internet of Things

In the Internet of Things (IoT), a huge amount of valuable data is generated by various IoT applications. As the IoT technologies become more complex, the attack methods are more diversified and can cause serious damages. Thus, establishing a secure IoT network based on user trust evaluation to defend against security threats and ensure the reliability of data source of collected data have become urgent issues, in this paper, a Data Fusion and transfer learning empowered granular Trust Evaluation mechanism (DFTE) is proposed to address the above challenges. Specifically, to meet the granularity demands of trust evaluation, time–space empowered fine/coarse grained trust evaluation models are built utilizing deep transfer learning algorithms based on data fusion. Moreover, to prevent privacy leakage and task sabotage, a dynamic reward and punishment mechanism is developed to encourage honest users by dynamically adjusting the scale of reward or punishment and accurately evaluating users’ trusts. The extensive experiments show that: (i) the proposed DFTE achieves high accuracy of trust evaluation under different granular demands through efficient data fusion; (ii) DFTE performs excellently in participation rate and data reliability.     

川东南丁山地区燕山期—喜马拉雅期差异构造-热演化与页岩气保存

中国的海相富有机质页岩经历了多期构造改造，其含气性具有明显的差异。页岩气在不同构造演化阶段的保存条件是揭示页岩气差异富集机理的关键科学问题之一，开展构造-热演化研究可以明确其热演化史和构造隆升-剥蚀过程，为其评价提供演化格架。研究以丁山地区下古生界页岩为对象，联合磷灰石裂变径迹、磷灰石（U-Th）/He和锆石（U-Th）/He等多个古温标反演热演化史，结合镜质体反射率重建的最高古地温剖面，对丁山地区燕山期以来的差异构造隆升过程和剥蚀量进行了恢复，并在此基础上结合流体包裹体分析对丁山地区龙马溪组页岩的压力演化过程进行了模拟；根据页岩在埋藏—抬升过程中的温、压演化特征，定量表征了不同抬升阶段页岩含气量的变化，建立了龙马溪组页岩"埋藏—生烃—抬升"的演化格架。分析表明，丁山地区在燕山期和喜马拉雅期经历了不同的构造隆升过程。燕山期表现为"早期快速隆升—晚期缓慢隆升"的分段隆升，具有自NW向SE递进隆升且隆升幅度逐渐增大的特征；喜马拉雅期表现为整体快速隆升。燕山期是丁山地区产生差异构造隆升的主要时期。受这种差异构造隆升-剥蚀作用的影响，龙马溪组页岩的降温、降压过程和页岩气的散失过程具有明显的差异。燕山期的差异构造隆升是造成丁山地区龙马溪组页岩含气性呈平面分带的主要原因。     

Islam,Heritage, and Preservation: An Untidy Tradition

Abstract

In this article I argue that the study of cultural heritage preservation practices in the context of Muslim societies has been constructed—and obstructed—through specific historical trajectories and challenges. These originate within the field of cultural heritage preservation, through its own history and principles which have complicated the interplay between heritage and religious values and uses. As a result, situated studies of preservation practices in and by Muslim communities are in their infancy. In this article I revisit the points of contact between the emergence of a Eurocentric preservation dogma and its encounter with different articulations and practices related to Islam that are now approached as part of heritage assemblages and debates. I consider specific biases inherent in these discourses and propose, as a result, to approach the study of Islam and heritage in its own terms—rather than as an alternative to Western preservation paradigms.     

利用地震品质因子Q比例的分布特征预测南川页岩气藏保存条件

根据地震数据、地质资料和地震属性，开展了南川地区五峰组-龙马溪组下部页岩的地震品质因子Q平面上分布与页岩气保存条件评价研究。针对南川地区页岩气开发中的断裂破碎带，提出了一种获取稳定品质因子Q比例及界限的工作流程和相应的迭代算法。研究表明，地震品质因子Q比例的分布可以快速、直观识别出断裂破碎带的内幕特征与不同类型页岩分布区。其中，断裂破碎带页岩区的品质因子Q比例总体上偏小，大多低于0.2，局部超过0.5，平面上分布杂乱、碎斑状；页岩呈北东向展布的条带，被断裂所撕裂、破碎，保存条件较差。稳定分布的页岩区的品质因子Q比例是较高的，超过0.7，平面变化稳定，没有突变现象，保存条件好。微裂缝发育的页岩区的品质因子Q比例具有渐变的趋势性，品质因子Q比例的分布从该页岩区的边部0.7向中部有规律地减小至0.1，保存条件最佳。实践证明，高产气井大多位于稳定分布的页岩区或内部微裂隙发育的稳定页岩区，地震品质因子Q比例研究方法对页岩气保存评价与开发井优化部署是一个实用工具。     

赵庄井田煤层气成藏条件研究

煤层气成藏条件研究是有效划分成藏类型或含气系统，煤层气富集高渗有利区预测、评价及优选的关键基础工作。基于赵庄井田煤层气地质条件及相关测试资料，借鉴前人研究成果，从煤生烃、煤层气储集和煤层气封盖保存条件等方面对赵庄井田煤层气成藏条件进行了研究。研究结果表明:煤中丰富的生烃物质在良好的生烃动力作用下，提高了生烃率和生烃量，为煤层气成藏提供了基础条件；煤变质程度高，促使煤中微小孔隙发育，煤层气储集能力增强和储集空间增大，有利于煤层气大量储存和富集；煤层埋深、围岩特性、构造及地下水径流等地质条件的有机匹配，为煤层气成藏提供了良好的封盖保存条件，是煤层气成藏的关键因素。     

抗菌肽应用于食品中的研究现状及面临的挑战

食品安全问题一直为人们所关注,其中微生物污染是导致食品腐败变质的主要原因。抗菌肽来源广泛,抑菌谱广,杀菌速度快,可以较好地控制食品中腐败微生物的滋生;对pH值、蛋白酶和热处理有较好的稳定性,在成分复杂的食品体系中有一定的适用性;由于其抑菌机理特殊,不易产生耐药性;部分具有抗氧化和提高免疫力等多种功能,对人体具有一定的保健作用。抗菌肽的以上特点满足了人们对新型防腐保鲜剂的多种需求,有望在食品工业上发挥重大作用。因此,在抗菌肽的生物学功能以及抗菌肽保鲜机理简单介绍的基础上,对抗菌肽应用于不同食品中的研究现况进行详细综述,最后对抗菌肽在食品中应用目前存在的问题和发展方向提供了思考。     

胶原蛋白-壳聚糖膜的制备及其对猪肉的保鲜作用

为了延缓猪肉的腐坏变质,延长猪肉的保质期,保持猪肉良好的品质,本文研究了没食子酸(GA)改性超声辅助制备的胶原蛋白-壳聚糖复合膜对冷藏猪肉的保鲜效果。在4℃冷藏条件下,采用未经过膜包裹(对照组)和GA改性超声膜包裹(膜包裹组)2种方式处理猪肉样品,并贮藏10d,检测其p H值、挥发性盐基氮(TVB-N)值、细菌总数、质构、色差ΔE值,以及感官质量。结果表明,对照组和膜包裹组猪肉的p H值、TVB-N、细菌总数、色差ΔE均随着贮存时间的增加而上升,但是膜包裹组的数值比对照组分别低了8.39%、26.18%、17.54%和8.23%,得出膜包裹处理可以显著降低碱性含氮物质和细菌产生的数量以及减缓颜色的变差(p<0.05)。对照组和膜包裹组猪肉的硬度、弹性和感官指标均随着贮存时间的增加而下降,但是膜包裹组的数值比对照组分别高了80.01%、18.66%和160.38%,得出膜包裹处理可以显著改善猪肉的质构和感官指标(p<0.05)。由此说明,膜包裹处理可以通过抑制p H值、TVB-N和细菌总数的增高,有效延缓猪肉的腐坏变质,延长猪肉的保质期。而且,经膜包裹处理10d后的猪肉仍然具有良好的质构、颜色和感官品质。     

抑菌纸对吐司保鲜作用

研究了抑菌纸对吐司保鲜作用的影响。将抑菌纸与PP薄薄膜结合得到纸塑复合材料来包装吐司，与单一的PP薄膜包装以及未采取包装的吐司对比质构、色差、水分活度、菌落总数、热焓值的差异。结果表明：采用纸塑复合材料包装的吐司相较于仅用PP薄膜包装以及未采取包装的吐司，其质构特性和色差的劣变变缓，水分活度有一定程度降低，菌落总数的增长得到有效抑制，热焓值的上升也得到延缓。该抑菌纸与PP薄膜结合得到的复合材料可避免直接向食品中添加防腐剂，并且能有效延长吐司的货架期。     

Novel approaches to purifying bacteriocin: A review

ABSTRACT

Bacteriocin is a proteinaceous biomolecule produced by bacteria (both Gram-positive and Gram-negative) that exhibits antimicrobial activity against closely related species, and food-borne pathogens. It has recently gained importance and attracted the attention of several researchers looking to produce it from various substrates and bacterial strains. This ushers in a new era of food preservation where the use of bacteriocin in food products will be an alternative to chemical preservatives, and heat treatment which are understood to cause unwanted side effects, and reduce sensory and nutritional quality. However, this new market depends on the success of novel downstream separation schemes from various types of crude feedstocks which are both effective and economic. This review focuses on the downstream separation of bacteriocin from various sources using both conventional and novel techniques. Finally, recommendations for future interesting areas of research that need to be pursued are highlighted.