Objectives: The existing inflammatory models are concentrated in relatively complex medical fields, and most of them use a single type of cell, and the induction conditions are not uniform, so the current LPS-induced ...Objectives: The existing inflammatory models are concentrated in relatively complex medical fields, and most of them use a single type of cell, and the induction conditions are not uniform, so the current LPS-induced inflammation model is less conducive to the study of skin inflammation. The aim of this research is to enhance the existing LPS-induced inflammation model and establish a skin inflammation model that is suitable for the swift screening of anti-inflammatory agents in the cosmetics industry. Methods: LPS was used to induce inflammatory responses in KC and THP-1 cells. Enzyme-linked immunosorbent assay (ELISA) was employed to assess the levels of IL-1α, IL-8, and TNF-α in the two cell types, while the DCFH-DA probe was utilized to label the levels of reactive oxygen species (ROS) in both cell types. Results: In KC cells, 10 μg/mL of LPS induced a significant upregulation of IL-8 but did not result in elevated expression of IL-1α. However, at 100 μg/mL of LPS, both IL-8 and IL-1α were highly expressed in KC cells. LPS concentrations ranging from 0.01 to 100 μg/mL failed to stimulate TNF-α production in KC cells but induced a gradient increase in ROS levels. In THP-1 cells, LPS concentrations from 0.01 to 100 μg/mL did not induce IL-1α production but significantly elevated IL-8 and led to a gradient increase in TNF-α and ROS. After treatment with 100 μg/mL of LPS, the cosmetic ingredient Rucika KGM mitigated the elevated levels of IL-1α, IL-8, and ROS in LPS-induced KC cells and IL-8 and ROS in THP-1 cells. Conclusion: This study has successfully developed an application-oriented model suitable for investigating skin inflammation, enabling the rapid and comprehensive screening of cosmetic ingredients with anti-inflammatory activity. .展开更多
Antiozonants and antioxidants are additives commonly used in the rubber industry to enhance the durability and performance of rubber products. Ozone, present in the atmosphere, can cause rubber to degrade over time th...Antiozonants and antioxidants are additives commonly used in the rubber industry to enhance the durability and performance of rubber products. Ozone, present in the atmosphere, can cause rubber to degrade over time through a process known as ozone cracking. These rubber additives are added to rubber compounds to protect against this degradation. They work by reacting with ozone, preventing it from attacking and breaking the molecular chains in the rubber, helping to maintain the structural integrity of the rubber product. It is now well known that 6PPD contributes to the extension of the service life of rubber products. However, recent studies have shown that 6PPD can be harmful to the environment, especially when end-of-life tyres (ELTs) are contaminated with the water. With the effect of ozone, 6PPD is converted to 6PPD quinone, which is toxic enough to kill some sensitive fish species such as Coho Salmon (Oncorhynchus kisutch). This study drew attention to new chemical compounds and natural products that can be used as antiozonants and antioxidants in the rubber industry instead of 6PPD. Although the scientific studies are promising, the fact that 6PPD is still used in production shows that more scientific studies and social awareness need to be developed in this area.展开更多
The self-absorption effect is one of the main factors affecting the quantitative analysis accuracy of laser-induced breakdown spectroscopy.In this paper,the self-absorption effects of laserinduced 7050 Al alloy plasma...The self-absorption effect is one of the main factors affecting the quantitative analysis accuracy of laser-induced breakdown spectroscopy.In this paper,the self-absorption effects of laserinduced 7050 Al alloy plasma under different pressures in air,Ar,and N2have been studied.Compared with air and N2,Ar significantly enhances the spectral signal.Furthermore,the spectral self-absorption coefficient is calculated to quantify the degree of self-absorption,and the influences of gas species and gas pressure on self-absorption are analyzed.In addition,it is found that the spectral intensity fluctuates with the change of pressure of three gases.It can also be seen that the fluctuation of spectral intensity with pressure is eliminated after correcting,which indicates that the self-absorption leads to the fluctuation of spectral intensity under different pressures.The analysis shows that the evolution of optical thin spectral lines with pressure in different gases is mainly determined by the gas properties and the competition between plasma confinement and Rayleigh–Taylor instability.展开更多
现有5G(5th GenerationMobile Communication Technology)核心网异常检测主要基于信令流量深度解析,但较少利用核心网网络功能交互关系的作用。针对上述问题,提出一种基于交互的5G核心网网络功能异常检测模型。首先,该模型以行为分析为...现有5G(5th GenerationMobile Communication Technology)核心网异常检测主要基于信令流量深度解析,但较少利用核心网网络功能交互关系的作用。针对上述问题,提出一种基于交互的5G核心网网络功能异常检测模型。首先,该模型以行为分析为驱动,基于信令流量和网络功能注册数据提取多维属性,通过行为画像来表征网络功能行为模式,并采用集成学习算法RFECV(Recursive Feature Elimination with Cross-Validation)进行属性特征选择,降低特征维度的同时筛选出与区分网络功能行为模式高度相关的属性特征。然后,模型基于网络功能交互关系对核心网进行图建模,建模后的图数据融合了网络功能属性信息和交互信息。最后,模型通过基于空间域的图卷积网络聚合邻域节点属性信息和结构信息来融合行为模式特征,新生成的节点表示用于分类,从而将核心网网络功能异常检测问题转化为图节点分类问题。通过在free5GC仿真平台上采集数据,并在搭建的异常检测系统中的实验表明,该模型的异常检测性能优于基于属性特征分析的传统机器学习模型、基于结构特征分析的图嵌入模型及部分5G核心网异常检测模型。10%数据集作为训练集时,所提模型的准确率比支持向量机模型提高6.6%,比Struc2vec模型提高13%,比深度神经网络模型提高8%。展开更多
Two-dimensional(2D)ferromagnetic crystals with fascinating optical and electrical properties are crucial for nanotechnology and have a wide variety of applications in spintronics.However,low Curie temperatures of most...Two-dimensional(2D)ferromagnetic crystals with fascinating optical and electrical properties are crucial for nanotechnology and have a wide variety of applications in spintronics.However,low Curie temperatures of most 2D ferromagnetic crystals seriously hinder their practical applications,thus searching for intrinsic roomtemperature 2D ferromagnetic crystals is of great importance for development of information technology.Fortunately,progresses have been achieved in the last few years.Here we review recent advances in the field of intrinsic room-temperature 2D ferromagnetic crystals and introduce their applications in spintronic devices based on van der Waals heterostructures.Finally,the remaining challenge and future perspective on the development direction of intrinsic room-temperature 2D ferromagnetic crystals for 2D spintronics and van der Waals spintronics are briefly summarized.展开更多
文摘Objectives: The existing inflammatory models are concentrated in relatively complex medical fields, and most of them use a single type of cell, and the induction conditions are not uniform, so the current LPS-induced inflammation model is less conducive to the study of skin inflammation. The aim of this research is to enhance the existing LPS-induced inflammation model and establish a skin inflammation model that is suitable for the swift screening of anti-inflammatory agents in the cosmetics industry. Methods: LPS was used to induce inflammatory responses in KC and THP-1 cells. Enzyme-linked immunosorbent assay (ELISA) was employed to assess the levels of IL-1α, IL-8, and TNF-α in the two cell types, while the DCFH-DA probe was utilized to label the levels of reactive oxygen species (ROS) in both cell types. Results: In KC cells, 10 μg/mL of LPS induced a significant upregulation of IL-8 but did not result in elevated expression of IL-1α. However, at 100 μg/mL of LPS, both IL-8 and IL-1α were highly expressed in KC cells. LPS concentrations ranging from 0.01 to 100 μg/mL failed to stimulate TNF-α production in KC cells but induced a gradient increase in ROS levels. In THP-1 cells, LPS concentrations from 0.01 to 100 μg/mL did not induce IL-1α production but significantly elevated IL-8 and led to a gradient increase in TNF-α and ROS. After treatment with 100 μg/mL of LPS, the cosmetic ingredient Rucika KGM mitigated the elevated levels of IL-1α, IL-8, and ROS in LPS-induced KC cells and IL-8 and ROS in THP-1 cells. Conclusion: This study has successfully developed an application-oriented model suitable for investigating skin inflammation, enabling the rapid and comprehensive screening of cosmetic ingredients with anti-inflammatory activity. .
文摘Antiozonants and antioxidants are additives commonly used in the rubber industry to enhance the durability and performance of rubber products. Ozone, present in the atmosphere, can cause rubber to degrade over time through a process known as ozone cracking. These rubber additives are added to rubber compounds to protect against this degradation. They work by reacting with ozone, preventing it from attacking and breaking the molecular chains in the rubber, helping to maintain the structural integrity of the rubber product. It is now well known that 6PPD contributes to the extension of the service life of rubber products. However, recent studies have shown that 6PPD can be harmful to the environment, especially when end-of-life tyres (ELTs) are contaminated with the water. With the effect of ozone, 6PPD is converted to 6PPD quinone, which is toxic enough to kill some sensitive fish species such as Coho Salmon (Oncorhynchus kisutch). This study drew attention to new chemical compounds and natural products that can be used as antiozonants and antioxidants in the rubber industry instead of 6PPD. Although the scientific studies are promising, the fact that 6PPD is still used in production shows that more scientific studies and social awareness need to be developed in this area.
基金National Key Research and Development Program of China(Nos.2017YFE0301306,2017YFE0301300,and 2017YFE0301506)Fujian Province Industrial Guidance Project(No.2019H0011).
文摘The self-absorption effect is one of the main factors affecting the quantitative analysis accuracy of laser-induced breakdown spectroscopy.In this paper,the self-absorption effects of laserinduced 7050 Al alloy plasma under different pressures in air,Ar,and N2have been studied.Compared with air and N2,Ar significantly enhances the spectral signal.Furthermore,the spectral self-absorption coefficient is calculated to quantify the degree of self-absorption,and the influences of gas species and gas pressure on self-absorption are analyzed.In addition,it is found that the spectral intensity fluctuates with the change of pressure of three gases.It can also be seen that the fluctuation of spectral intensity with pressure is eliminated after correcting,which indicates that the self-absorption leads to the fluctuation of spectral intensity under different pressures.The analysis shows that the evolution of optical thin spectral lines with pressure in different gases is mainly determined by the gas properties and the competition between plasma confinement and Rayleigh–Taylor instability.
基金the National Natural Science Foundation of China(62304252)the Youth Innovation Promotion Association of Chinese Academy Sciences(CAS)and IMECAS-HKUST-Joint Laboratory of Microelectronics。
文摘现有5G(5th GenerationMobile Communication Technology)核心网异常检测主要基于信令流量深度解析,但较少利用核心网网络功能交互关系的作用。针对上述问题,提出一种基于交互的5G核心网网络功能异常检测模型。首先,该模型以行为分析为驱动,基于信令流量和网络功能注册数据提取多维属性,通过行为画像来表征网络功能行为模式,并采用集成学习算法RFECV(Recursive Feature Elimination with Cross-Validation)进行属性特征选择,降低特征维度的同时筛选出与区分网络功能行为模式高度相关的属性特征。然后,模型基于网络功能交互关系对核心网进行图建模,建模后的图数据融合了网络功能属性信息和交互信息。最后,模型通过基于空间域的图卷积网络聚合邻域节点属性信息和结构信息来融合行为模式特征,新生成的节点表示用于分类,从而将核心网网络功能异常检测问题转化为图节点分类问题。通过在free5GC仿真平台上采集数据,并在搭建的异常检测系统中的实验表明,该模型的异常检测性能优于基于属性特征分析的传统机器学习模型、基于结构特征分析的图嵌入模型及部分5G核心网异常检测模型。10%数据集作为训练集时,所提模型的准确率比支持向量机模型提高6.6%,比Struc2vec模型提高13%,比深度神经网络模型提高8%。
基金the National Key Research and Development Program of China(Grant No.2022YFE0134600)the National Natural Science Foundation of China(Grant Nos.52272152,61674063,and 62074061)+1 种基金the Foundation of Shenzhen Science and Technology Innovation Committee(Grant Nos.JCYJ20210324142010030 and JCYJ20180504170444967)the Fellowship of China Postdoctoral Science Foundation(Grant No.2022M711234)。
文摘Two-dimensional(2D)ferromagnetic crystals with fascinating optical and electrical properties are crucial for nanotechnology and have a wide variety of applications in spintronics.However,low Curie temperatures of most 2D ferromagnetic crystals seriously hinder their practical applications,thus searching for intrinsic roomtemperature 2D ferromagnetic crystals is of great importance for development of information technology.Fortunately,progresses have been achieved in the last few years.Here we review recent advances in the field of intrinsic room-temperature 2D ferromagnetic crystals and introduce their applications in spintronic devices based on van der Waals heterostructures.Finally,the remaining challenge and future perspective on the development direction of intrinsic room-temperature 2D ferromagnetic crystals for 2D spintronics and van der Waals spintronics are briefly summarized.
