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Study of the Primo-Vascular System and Location-Dependent Oxygen Levels for a Mouse Embryo
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全羅道邑誌 . 1
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폐포자충 폐렴의 분자역학과 일차 치료 실패 위험 인자 분석 = Analysis of genetic epidemiology and risk factors associated with the first-line treatment failure of Pneumocystis jirovecii pneumonia
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Availability of Day Care Services for Preschool Children with Special Health Care Needs
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경인지역 도금사업장 근로자의 산업보건관리제도에 대한 인식
- 검색키워드
- 저자 : Siyu Liang (검색결과 4 건)
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Siyu Liang,Guangjun Liu,Gaoyang Wu,Tao Chen 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.2
In the process of Al-added pearlitic gray cast iron material cutting, the tool surface will form an adhesive layer due to extrusion and friction, which will have a complex impact on the machining quality and tool life. Therefore, it is necessary to study its formation process and tool wear mechanism in detail. This paper investigates the evolution laws of tool wear and workpiece surface roughness in different cutting parameters, which is based on orthogonal tests. Using the data of the orthogonal tests, an optimization model is carried out to find optimum cutting parameters which can keep a good balance among cutting efficiency, machined surface roughness and tool life. Then, the SEM and energy spectrometer are used to analyze the formation of adhesive layers and the distribution of elements. Compared with the comprehensive test, the orthogonal test can reduce the number of experiments and improve the efficiency on the premise of ensuring accuracy and can be easily applied to practical production. And the results of SEM micrograph and elements distribution map show that the stability of the mass ratio of aluminium to titanium on the tool surface can directly reflect the stability of the adhesive layer, thus affecting the tool life and the machined surface quality.
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Zhengxuan Jiang,Kun Liang,Xiang Gao,Fan Cao,Guangqi An,Siyu Gui,Weiwei Tang,Liping Du,Liming Tao,Xianwen Wang 한국생체재료학회 2023 생체재료학회지 Vol.27 No.00
Background EAU is an inflammatory disease usually characterized by autoinflammation and autoimmunity and is aggravated by excessive generation of ROS. Conventional hormone therapy often has more adverse effects. It is urgent to find a therapeutic drug with higher efficiency and fewer adverse effects. Methods We developed an Fe-curcumin nanozyme in which natural antioxidants coordinate with Fe3+ to form nanoparticles with excellent solubility for directing anti-inflammatory and ROS scavenging effects to treat EAU. Several experiments were used to detect the characteristics of nanozymes. EAU model rats were used to detect the abilities of decreasing autoinflammation and autoimmunity. PBMCs were used to detect the ability to inhibit cell proliferation. Results Free radical scavenging experiments showed that nanozymes decreased the level of free radicals at low concentrations. In vitro and in vivo experiments revealed that the group treated with Fe-curcumin nanozymes had lower inflammatory reactions and ROS levels than the control group, as reflected by the downregulated levels of several critical inflammatory cytokines, such as IFN-γ, IL-17, and TNF-α; decreased H2O2 release; inhibited proliferation of Th1 and Th17 cells; and alleviated pathological changes in the eye. Importantly, the Fe-curcumin nanozyme was detected in the retina using Prussian blue staining. Additionally, Fe-curcumin nanozyme is noncytotoxic when directing these biological activities. Conclusion This study has demonstrated the feasibility of using the Fe-curcumin nanozyme as a nanodrug to inhibit inflammatory reactions and scavenge ROS in the treatment of EAU, indicating that it may serve as a promising therapeutic agent in clinical treatment.
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A Light-weighted Data Collection Method for DNS Simulation on the Cyber Range
( Shuang Li ),( Shasha Du ),( Wenfeng Huang ),( Siyu Liang ),( Jinxi Deng ),( Le Wang ),( Huiwu Huang ),( Xinhai Liao ),( Shen Su ) 한국인터넷정보학회 2020 KSII Transactions on Internet and Information Syst Vol.14 No.8
The method of DNS data collection is one of the most important parts of DNS simulation. DNS data contains a lot of information. When it comes to analyzing the DNS security issues by simulation on the cyber range with customized features, we only need some of them, such as IP address, domain name information, etc. Therefore, the data we need are supposed to be light-weighted and easy to manipulate. Many researchers have designed different schemes to obtain their datasets, such as LDplayer and Thales system. However, existing solutions consume excessive computational resources, which are not necessary for DNS security simulation. In this paper, we propose a light-weighted active data collection method to prepare the datasets for DNS simulation on cyber range. We evaluate the performance of the method and prove that it can collect DNS data in a short time and store the collected data at a lower storage cost. In addition, we give two examples to illustrate how our method can be used in a variety of applications.
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