Mini-organs with big impact:Organoids in liver cancer studies

Hepatocellular carcinoma,the most common primary liver cancer and a leading cause of death,is a difficult disease to treat due to its heterogeneous nature.Traditional models,such as 2D culture and patient-derived xenografts,have not proven effective.However,the development of 3D culture techniques,such as organoids,which can mimic the tumor microenvironment(TME)and preserve heterogeneity and pathophysiological properties of tumor cells,offers new opportunities for treatment and research.Organoids also have the potential for biomarker detection and personalized medication,as well as genome editing using CRISPR/Cas9 to study the behavior of certain genes and therapeutic interventions.This review explores to-the-date development of organoids with a focus on TME modeling in 3D organoid cultures.Further,it discusses gene editing using CRISPR/Cas9 in organoids,the challenges faced,and the prospects in the field of organoids.

云计算安全威胁及防护研究

云计算已经成为我国数字经济发展的重要支撑基础,云计算安全状况直接关系到我国经济发展前景。在国家网络安全等级保护2.0标准下,本文针对云计算面临的安全威胁,依据云计算安全防护的原则,从云计算安全保障框架、云计算安全平台框架体系提出对云计算安全问题的解决方案。

Stacked Attention Networks for Referring Expressions Comprehension

Referring expressions comprehension is the task of locating the image region described by a natural language expression,which refer to the properties of the region or the relationships with other regions.Most previous work handles this problem by selecting the most relevant regions from a set of candidate regions,when there are many candidate regions in the set these methods are inefficient.Inspired by recent success of image captioning by using deep learning methods,in this paper we proposed a framework to understand the referring expressions by multiple steps of reasoning.We present a model for referring expressions comprehension by selecting the most relevant region directly from the image.The core of our model is a recurrent attention network which can be seen as an extension of Memory Network.The proposed model capable of improving the results by multiple computational hops.We evaluate the proposed model on two referring expression datasets:Visual Genome and Flickr30k Entities.The experimental results demonstrate that the proposed model outperform previous state-of-the-art methods both in accuracy and efficiency.We also conduct an ablation experiment to show that the performance of the model is not getting better with the increase of the attention layers.

Research and Experiment on Performance Stability of Facility Green-house Environmental Monitoring System

At present,the safety and stability of most facility greenhouse environment monitoring systems are seldom considered. In order to improve the stability of data transmission in environment and prevent the system failure caused by the fault of coordinator,a mechanism based on Zigbee coordinator to improve the stability of the whole system is proposed to ensure the security of wireless data transmission. Finally,the system is tested,and the results show that the system can effectively ensure the fault-free transmission of collected environmental data.

An Attention-Based Recognizer for Scene Text

Scene text recognition(STR)is the task of recognizing character sequences in natural scenes.Although STR method has been greatly developed,the existing methods still can't recognize any shape of text,such as very rich curve text or rotating text in daily life,irregular scene text has complex layout in two-dimensional space,which is used to recognize scene text in the past Recently,some recognizers correct irregular text to regular text image with approximate 1D layout,or convert 2D image feature mapping to one-dimensional feature sequence.Although these methods have achieved good performance,their robustness and accuracy are limited due to the loss of spatial information in the process of two-dimensional to one-dimensional transformation.In this paper,we proposes a framework to directly convert the irregular text of two-dimensional layout into character sequence by using the relationship attention module to capture the correlation of feature mapping Through a large number of experiments on multiple common benchmarks,our method can effectively identify regular and irregular scene text,and is superior to the previous methods in accuracy.

nterferon alpha （IFNα）-induced TRIM22 interrupts HCV ＇eplication by ubiquitinating NS5A

TRIM22, a tripartite-motif （TRIM） protein, is upregulated upon interferon alpha （IFNa） administration to hepatitis C virus （HCV）-infected patients. However, the physiological role of TRIM22 upregulation remains unclear. Here, we describe a potential antiviral function of TRI M22＇s targeting of the HCV NSSA protein. NS5A is important for HCV replication and for resistance to I FNa therapy. During the first 24 h following the initiation of I FNa treatment, upregulation of TRIM22 in the peripheral blood mononuclear cells （PBMCs） of HCV patients correlated with a decrease in viral titer. This phenomenon was confirmed in the hepatocyte-derived cell line Huh-7, which is highly permissive for HCV infection. TRIM22 over-expression inhibited HCV replication, and Small interfering RNA （siRNA）-mediated knockdown of TRIM22 diminished IFNα-induced anti-HCV function. Furthermore, we determined that TRIM22 ubiquitinates NS5A in a concentration-dependent manner. In summary, our results suggest that TRIM22 upregulation is associated with HCV decline during IFNα treatment and Dlavs an important role in controlling HCV replication in vitro.

“同案同判”与司法的本质——为依法裁判立场再辩护

实践中,疑难案件的频发及社会科学方法对司法的进入,使那种认为在疑难案件中必须放弃依法裁判转而诉诸法外裁判的主张格外有吸引力。近年来大力推行的法律效果与社会效果相统一的司法政策,更是为这种法外裁判论添色不少。

COVID-19 Outbreak Caused by Contaminated Packaging of Imported Cold-Chain Products—Liaoning Province,China,July 2020

Summary What is known about this topic?Few major outbreaks of coronavirus disease 2019(COVID-19)have occurred in China after major nonpharmaceutical interventions and vaccines have been deployed and implemented.However,sporadic outbreaks that had high possibility to be linked to cold chain products were reported in several cities of China..What is added by this report?In July 2020,a COVID-19 outbreak occurred in Dalian,China.The investigations of this outbreak strongly suggested that the infection source was from COVID-19 virus-contaminated packaging of frozen seafood during inbound unloading personnel contact.What are the implications for public health practice?Virus contaminated paper surfaces could maintain infectivity for at least 17–24 days at-25℃.Exposure to COVID-19 virus-contaminated surfaces is a potential route for introducing the virus to a susceptible population.Countries with no domestic transmission of COVID-19 should consider introducing prevention strategies for both inbound travellers and imported goods.Several measures to prevent the introduction of the virus via cold-chain goods can be implemented.