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新时期我国党政干部选拔任用适度制度性强化研究 被引量:1
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作者 董志霄 《河北经贸大学学报(综合版)》 2010年第2期37-41,共5页
干部选拔任用行为,需要适度制度性强化,以对该行为给予更有力的保障和制约,从而利于遏制和消除腐败现象,进而有效实现干部选拔任用行为的预期目标。制度性强化涵盖选举、异地交流任职、公开选拔与竞争上岗、干部调配、考核评估、责任追... 干部选拔任用行为,需要适度制度性强化,以对该行为给予更有力的保障和制约,从而利于遏制和消除腐败现象,进而有效实现干部选拔任用行为的预期目标。制度性强化涵盖选举、异地交流任职、公开选拔与竞争上岗、干部调配、考核评估、责任追究等。 展开更多
关键词 组织 干部 选拔任用 制度性强化
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Combined effects of Bi and Sb elements on microstructure,thermal and mechanical properties of Sn−0.7Ag−0.5Cu solder alloys 被引量:2
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作者 Suchart CHANTARAMANEE Phairote SUNGKHAPHAITOON 《Transactions of Nonferrous Metals Society of China》 SCIE EI CAS CSCD 2022年第10期3301-3311,共11页
This research investigated the combined effects of addition of Bi and Sb elements on the microstructure,thermal properties,ultimate tensile strength,ductility,and hardness of Sn−0.7Ag−0.5Cu(SAC0705)solder alloys.The r... This research investigated the combined effects of addition of Bi and Sb elements on the microstructure,thermal properties,ultimate tensile strength,ductility,and hardness of Sn−0.7Ag−0.5Cu(SAC0705)solder alloys.The results indicated that the addition of Bi and Sb significantly reduced the undercooling of solders,refined theβ-Sn phase and extended the eutectic areas of the solders.Moreover,the formation of SbSn and Bi phases in the solder matrix affected the mechanical properties of the solder.With the addition of 3 wt.%Bi and 3 wt.%Sb,the ultimate tensile strength and hardness of the SAC0705 base alloy increased from 31.26 MPa and 15.07 HV to 63.15 MPa and 23.68 HV,respectively.Ductility decreased due to grain boundary strengthening,solid solution strengthening,and precipitation strengthening effects,and the change in the fracture mechanism of the solder alloys. 展开更多
关键词 Sn−0.7Ag−0.5Cu solder alloys intermetallic compounds strengthening mechanism UNDERCOOLING mechanical properties
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Retting of Musa sapientum Pseudostem with Pectin Decomposting Bacteria
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作者 H. Rasmina M. S. Naimah +2 位作者 H. Aziah Y. N. Kiew Y. Konami 《Journal of Agricultural Science and Technology(B)》 2011年第8期1238-1244,共7页
The upper and lower portions of Musa sapientum pseudo-stem sheaths were exposed in four types of treatments: pectin decomposing bacteria, magnesium oxide (MgO), both pectin decomposing bacteria and MgO and control.... The upper and lower portions of Musa sapientum pseudo-stem sheaths were exposed in four types of treatments: pectin decomposing bacteria, magnesium oxide (MgO), both pectin decomposing bacteria and MgO and control. The fibre strength properties were tested using SIRIM Standard methods and colour changed using gray scale. The bioaugmentation of pectin decomposing bacteria together with MgO additions were found to enhance retting process and reduced retting periods 52% and yielded better strength on the fibres. The lower portion pseudo-stem sheaths gave the higher strength than upper portion. Colour changed showed that the bioaugmentation of pectin bacteria enhanced the degradation colouring compound in banana fibres. 展开更多
关键词 Banana pseudo-stem banana fibre RETTING pectin decomposing bacteria catalyst MgO.
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Robustness of reinforced gradient-type iterative learning control for batch processes with Gaussian noise
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作者 Xuan Yang Xiao'e Ruan 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2016年第5期623-629,共7页
In this paper,a reinforced gradient-type iterative learning control pro file is proposed by making use of system matrices and a proper learning step to improve the tracking performance of batch processes disturbed by ... In this paper,a reinforced gradient-type iterative learning control pro file is proposed by making use of system matrices and a proper learning step to improve the tracking performance of batch processes disturbed by external Gaussian white noise.The robustness is analyzed and the range of the step is speci fied by means of statistical technique and matrix theory.Compared with the conventional one,the proposed algorithm is more ef ficient to resist external noise.Numerical simulations of an injection molding process illustrate that the proposed scheme is feasible and effective. 展开更多
关键词 Batch process lterative learning control Reinforced gradient Gaussian white noise
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