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Expression of interferon inducible protein-10 in pancreas of mice 被引量:4
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作者 Dong Li Su-Wen Zhu +1 位作者 Dong-Juan liu guo-liang liu 《World Journal of Gastroenterology》 SCIE CAS CSCD 2005年第30期4750-4752,共3页
AIM: To investigate the expression of interferon inducible protein-10 (IP-10) in pancreas of mice and to discuss its possible role in the pathogenesis of type 1 diabetes.METHODS: Non-obese diabetic (NOD) mice were use... AIM: To investigate the expression of interferon inducible protein-10 (IP-10) in pancreas of mice and to discuss its possible role in the pathogenesis of type 1 diabetes.METHODS: Non-obese diabetic (NOD) mice were used as experiment group and BALB/c mice as non-diabetic prone model. Immunohistochemistry method was used to evaluate the expression of IP-10 in the pancreas of NOD mice and BALB/c mice. Immunoelectron microscope was used to show the location of IP-10 in pancreatic islet β cells.RESULTS: Pancreatic islets were positively stained in all the NOD mice. Insulitis could be found in mice at the age of 4 wk. The weakly positive results were found in control group with no insulitis. Immunoelectron microscopy further demonstrated that IP-10 was produced by pancreatic β cells and stored in cytoplasm of the cells.CONCLUSION: IP-10 can be largely produced in pancreatic islets of NOD mice at the age of 2 wk when there is no significant insulitis, and may play an important part in the pathogenesis of type 1 diabetes by attracting immune cells to infiltrate the pancreatic islets. 展开更多
关键词 基因表达 干扰素诱导蛋白-10 胰岛疾病 1型糖尿病 细胞免疫
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航空发动机压气机转子叶片开裂原因分析 被引量:2
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作者 刘明坤 刘国良 +2 位作者 韩振宇 佟文伟 吴才广 《风机技术》 2022年第5期76-80,共5页
某航空发动机高压压气机转子叶片使用后分解检查时发现叶身裂纹。通过宏观检查、能谱分析、金相检查、锻造模拟试验及原材料工艺复查,对裂纹原因进行了综合分析。结果表明:裂纹性质为疲劳,起源于内部缺陷。缺陷性质为原材料料头未切除... 某航空发动机高压压气机转子叶片使用后分解检查时发现叶身裂纹。通过宏观检查、能谱分析、金相检查、锻造模拟试验及原材料工艺复查,对裂纹原因进行了综合分析。结果表明:裂纹性质为疲劳,起源于内部缺陷。缺陷性质为原材料料头未切除干净的氧化物夹杂。氧化物夹杂的存在,严重降低了材料的塑性和强度,导致叶片首先在内部缺陷处开裂。在弯曲应力的作用下,裂纹由缺陷位置向叶片表面扩展,形成宏观裂纹。 展开更多
关键词 压气机叶片 疲劳 氧化物夹杂 锻造 木纹状
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Coupling effect of micro-textured tools and cooling conditions on the turning performance of aluminum alloy 6061
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作者 guo-liang liu Jin-Tao Zheng +5 位作者 Chuan-Zhen Huang Shu-Feng Sun Xin-Fu liu Long-Jie Dai De-Xiang Wang Xiang-Yu Wang 《Advances in Manufacturing》 SCIE EI CAS CSCD 2023年第4期663-681,共19页
Micro-texturing has been widely proven to be an effective technology for achieving sustainable machining.However,the performance of micro-textured tools under different cooling conditions,especially their coupling eff... Micro-texturing has been widely proven to be an effective technology for achieving sustainable machining.However,the performance of micro-textured tools under different cooling conditions,especially their coupling effect on machined surface integrity,was scarcely reported.In this paper,the non-textured,linear micro-grooved,and curvilinear micro-grooved inserts were used to turn aluminum alloy 6061 under dry,emulsion,and liquid nitrogen cryogenic cooling conditions.The coupling effects of different micro-textures and cooling conditions on cutting force,cutting temperature,and machined surface integrity,including the surface roughness,work hardening,and residual stress,were revealed and discussed in detail.Results indicated that the micro-grooved tools,especially the curvilinear micro-grooved tools,not only reduced the cutting force and cutting temperature,but also improved the machined surface integrity.In addition,the micro-grooved tools can cooperate with the emulsion or liquid nitrogen to reduce the cutting force,cutting temperature,and improve the machined surface integrity generally,although the combination of emulsion cooling condition and micro-grooved tools generated negative coupling effects on cutting forces and surface work hardening.Especially,the combination of curvilinear micro-grooved cutting tools and cryogenic cooling condition resulted in the lowest cutting force and cutting temperature,which generated the surface with low roughness,weak work hardening,and compressive residual stress. 展开更多
关键词 Micro-grooved cutting tool Cooling condition Cutting force Cutting temperature Surface integrity
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A Selective Attention Guided Initiative Semantic Cognition Algorithm for Service Robot 被引量:1
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作者 Huan-Zhao Chen Guo-Hui Tian guo-liang liu 《International Journal of Automation and computing》 EI CSCD 2018年第5期559-569,共11页
With the development of artificial intelligence and robotics, the study on service robot has made a significant progress in recent years. Service robot is required to perceive users and environment in unstructured dom... With the development of artificial intelligence and robotics, the study on service robot has made a significant progress in recent years. Service robot is required to perceive users and environment in unstructured domestic environment. Based on the perception,service robot should be capable of understanding the situation and discover service task. So robot can assist humans for home service or health care more accurately and with initiative. Human can focus on the salient things from the mass observation information. Humans are capable of utilizing semantic knowledge to make some plans based on their understanding of the environment. Through intelligent space platform, we are trying to apply this process to service robot. A selective attention guided initiatively semantic cognition algorithm in intelligent space is proposed in this paper. It is specifically designed to provide robots with the cognition needed for performing service tasks. At first, an attention selection model is built based on saliency computing and key area. The area which is highly relevant to service task could be located and referred as focus of attention(FOA). Second, a recognition algorithm for FOA is proposed based on a neural network. Some common objects and user behavior are recognized in this step. At last, a unified semantic knowledge base and corresponding reasoning engine is proposed using recognition result. Related experiments in a real life scenario demonstrated that our approach is able to mimic the recognition process in humans, make robots understand the environment and discover service task based on its own cognition. In this way, service robots can act smarter and achieve better service efficiency in their daily work. 展开更多
关键词 Service robot cognition computing selective attention semantic knowledge base artificial neural network.
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