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基于BOX和前馈成本控制的新型ERP体系 被引量:12
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作者 李从东 张洪亮 《计算机集成制造系统-CIMS》 EI CSCD 北大核心 2004年第5期528-531,共4页
提出广义工作中心的概念,由此建立基于广义工作中心的成本分配方法和前馈成本控制模式。根据广义工作中心列表、企业过程列表和资源消耗列表的概念,构建综合列表体系,以描述企业结构单元、企业动态过程和资源转换的特征。在此基础上,针... 提出广义工作中心的概念,由此建立基于广义工作中心的成本分配方法和前馈成本控制模式。根据广义工作中心列表、企业过程列表和资源消耗列表的概念,构建综合列表体系,以描述企业结构单元、企业动态过程和资源转换的特征。在此基础上,针对现有企业资源计划的缺点,建立基于综合列表和前馈成本控制的新型企业资源计划体系,并对其框架结构和实现方法进行了研究。最后,给出一个应用实例以证明该方法的可行性。 展开更多
关键词 企业资源计划 综合列表 广义工作中心列表 企业过程列表 资源消耗列表 前馈成本控制
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Analysis of differentially expressed tumor-related genes in Peutz-Jeghers syndrome combined with colorectal carcinoma with cDNA microarrays
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作者 Xiaosan Zhu Yichen Dai +8 位作者 Qingzhen Nan Zhangxin Chen Junpei Xie Wei Zeng Yuka Fu Yuanyuan Lin Qingna Lian Qiaofang Sang Xiaojuan Zhan 《The Chinese-German Journal of Clinical Oncology》 CAS 2011年第8期462-467,共6页
Objective:The aim of the study was to screen the differentially expressed genes of Peutz-Jeghers syndrome (PJS) and colorectal carcinoma (CRC).Methods:This study used cDNA microarray to comparatively analyze the gene ... Objective:The aim of the study was to screen the differentially expressed genes of Peutz-Jeghers syndrome (PJS) and colorectal carcinoma (CRC).Methods:This study used cDNA microarray to comparatively analyze the gene expression profiles of 4 cases of PJS combined with colorectal adenocarcinoma vs.normal mucosae.The cDNA microarray contained 8064 human genes,and then using RT-PCR to test three genes of all.Results:The experimental data showed that fourteen genes were differentially expressed,which were up-regulated in PJS.Fifty-one genes expressions were altered in CRCs,of which 32 were up-regulated,as compared to the normal mucosae.In addition,5 genes were similarly altered in both PJS and CRCs.RT-PCR analyses confirmed the cDNA microarray data for three of those genes:LATS2,APC and MADH4.Conclusion:LCN2,USP4,GRO3,HYAL1 and APC-these differentially expressed genes likely represent biomarkers for early detection of CRC and may be potential therapeutic targets. 展开更多
关键词 Peutz-Jeghers syndrome (PJS) colorectal carcinoma (CRC) cDNA microarrays gene ANALYSIS
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