This essay has two strands.It examines Simone White’s writing on U.S.Trap in Dear Angel of Death(2017),bringing in questions of gender and of the history of writings of“The Music,”in dialogue with thinkers such as ...This essay has two strands.It examines Simone White’s writing on U.S.Trap in Dear Angel of Death(2017),bringing in questions of gender and of the history of writings of“The Music,”in dialogue with thinkers such as Amiri Baraka and Nathaniel Mackey.Historicizing writings on Black music,and their intersections with questions of gender and class,the essay also reflects on the relations between U.S.and U.K.thinking on anti-blackness and music,and sketches some speculative lineages for the different poetic traditions from which such work emerges.Exploring Trap’s address to male desire and vulnerability within the context of anti-black violence and the American carceral State,White hears in Trap something beyond nihilism,even if only as proxy or metaphor—an expression of desire and horror which is the threat of aliveness in the face of social death.The essay also explores U.K.-born,U.S.-based D.S.Marriott’s engagement with grime in his most recent book of poetry,Duppies(2017,U.S.edition 2019).“Post-work”and“post-brexit,”Marriott’s grime poetics registers the racial antagonisms unleashed by the Brexit vote,and harks back to the 2011 U.K.riots triggered by Mark Duggan’s murder at the hands of the police.Marriott understands grime as representing performances of labor,and racialized identity performance itself as a kind of un-remunerated labor,related to Black social death.Both internalizing and refusing the interpellation of the police and state apparatus,and often literally unintelligible to white mainstream society,it is a space of performative subversion,powerful even when mocked,derided or ignored.As“the thread which links afro-pessimism to afro-futurism,”grime could be positioned as a theoretical solution to ongoing debates on Afro-pessimism and Afro-optimism;but it“proceeds without ties or duplicity,”refusing identification or pigeonholing.Neither grime nor Trap,Marriott’s nor White’s poetry,ask for or require empathy.Their“fierce rigor and method”are tools of diagnosis and resistance vital for understanding poetry,race and politics today.展开更多
多智能体信息融合(multi-agent information fusion,MAIF)系统主要面向多个智能体之间的信息融合、调节、交流和矛盾处理。研究针对数据高度冲突条件下的D-S证据理论失效问题,提出一种将重构的基本概率分配和信念熵相结合的多智能体系...多智能体信息融合(multi-agent information fusion,MAIF)系统主要面向多个智能体之间的信息融合、调节、交流和矛盾处理。研究针对数据高度冲突条件下的D-S证据理论失效问题,提出一种将重构的基本概率分配和信念熵相结合的多智能体系统冲突数据融合方法。该方法使用重构的基本概率分配和信念熵修正证据的可靠性,获得更合理的证据,使用Dempster组合规则将证据进行融合得到结果,在2个实验中均得到了超过90%的置信度。实验表明了该方法的有效性,提高了MAIF系统辨识过程的精度。展开更多
目的:验证运用有机溶剂/去污剂(S/D)处理法和干热法对C1酯酶抑制剂(C1-INH)中病毒灭活效果。方法:采用S/D处理法灭活含S/D样品中添加的辛德毕斯病毒,噬斑滴定法检测灭活前后的病毒滴度,-干热法灭活脑心肌炎病毒(EMCV)和猪细小病毒(PPV)...目的:验证运用有机溶剂/去污剂(S/D)处理法和干热法对C1酯酶抑制剂(C1-INH)中病毒灭活效果。方法:采用S/D处理法灭活含S/D样品中添加的辛德毕斯病毒,噬斑滴定法检测灭活前后的病毒滴度,-干热法灭活脑心肌炎病毒(EMCV)和猪细小病毒(PPV),细胞病变法检测灭活前后的病毒滴度。结果:经S/D处理法灭活后,3批含S/D样品中辛德毕斯病毒降低量分别为>4.35 lg PFU·mL^(-1)、>4.51 lg PFU·mL^(-1)、>4.64 lg PFU·mL^(-1)。经干热法灭活后,3批不含S/D样品中EMCV降低量分别为≥5.38 lg TCID_(50)/0.1 mL、≥5.12 lg TCID_(50)/0.1 mL、≥5.25 lg TCID_(50)/0.1 mL,PPV降低量分别为4.57 lg TCID_(50)/0.1 mL、4.18 lg TCID_(50)/0.1 mL、4.68 lg TCID_(50)/0.1 mL。结论:通过对指示病毒的验证效果评估,证明S/D法和干热法对C1-INH中的辛德毕斯病毒、EMCV和PPV均有较好的灭活效果。展开更多
准确判别燃爆状态是测量燃爆延滞期并计算爆发点参数的关键。针对单一传感器判别效果不佳、多个传感器判别结果相互冲突的问题,利用D-S(Dempster-Shafer)证据理论对冲突证据进行联合判别。首先根据含能材料燃爆特性和爆发点测试原理,设...准确判别燃爆状态是测量燃爆延滞期并计算爆发点参数的关键。针对单一传感器判别效果不佳、多个传感器判别结果相互冲突的问题,利用D-S(Dempster-Shafer)证据理论对冲突证据进行联合判别。首先根据含能材料燃爆特性和爆发点测试原理,设计了基于温度和声音的联合判别装置;从实验数据出发,采用模型拟合提取温度特征值,以及声音信号最大值为声音特征值。其次,根据Sigmoid模型求解出BPA(Basic Probability Assignment)函数,并通过信度熵对可能存在冲突的BPA函数值进行预处理;最终,利用D-S证据理论进行燃爆状态联合判别。实验结果表明,所提方法有效提高了实验装置的鲁棒性和状态判别的置信概率,燃爆判别准确率达到了96.5%,优于温度、声音等单一传感器的判别效果。展开更多
文摘This essay has two strands.It examines Simone White’s writing on U.S.Trap in Dear Angel of Death(2017),bringing in questions of gender and of the history of writings of“The Music,”in dialogue with thinkers such as Amiri Baraka and Nathaniel Mackey.Historicizing writings on Black music,and their intersections with questions of gender and class,the essay also reflects on the relations between U.S.and U.K.thinking on anti-blackness and music,and sketches some speculative lineages for the different poetic traditions from which such work emerges.Exploring Trap’s address to male desire and vulnerability within the context of anti-black violence and the American carceral State,White hears in Trap something beyond nihilism,even if only as proxy or metaphor—an expression of desire and horror which is the threat of aliveness in the face of social death.The essay also explores U.K.-born,U.S.-based D.S.Marriott’s engagement with grime in his most recent book of poetry,Duppies(2017,U.S.edition 2019).“Post-work”and“post-brexit,”Marriott’s grime poetics registers the racial antagonisms unleashed by the Brexit vote,and harks back to the 2011 U.K.riots triggered by Mark Duggan’s murder at the hands of the police.Marriott understands grime as representing performances of labor,and racialized identity performance itself as a kind of un-remunerated labor,related to Black social death.Both internalizing and refusing the interpellation of the police and state apparatus,and often literally unintelligible to white mainstream society,it is a space of performative subversion,powerful even when mocked,derided or ignored.As“the thread which links afro-pessimism to afro-futurism,”grime could be positioned as a theoretical solution to ongoing debates on Afro-pessimism and Afro-optimism;but it“proceeds without ties or duplicity,”refusing identification or pigeonholing.Neither grime nor Trap,Marriott’s nor White’s poetry,ask for or require empathy.Their“fierce rigor and method”are tools of diagnosis and resistance vital for understanding poetry,race and politics today.
文摘多智能体信息融合(multi-agent information fusion,MAIF)系统主要面向多个智能体之间的信息融合、调节、交流和矛盾处理。研究针对数据高度冲突条件下的D-S证据理论失效问题,提出一种将重构的基本概率分配和信念熵相结合的多智能体系统冲突数据融合方法。该方法使用重构的基本概率分配和信念熵修正证据的可靠性,获得更合理的证据,使用Dempster组合规则将证据进行融合得到结果,在2个实验中均得到了超过90%的置信度。实验表明了该方法的有效性,提高了MAIF系统辨识过程的精度。
文摘目的:验证运用有机溶剂/去污剂(S/D)处理法和干热法对C1酯酶抑制剂(C1-INH)中病毒灭活效果。方法:采用S/D处理法灭活含S/D样品中添加的辛德毕斯病毒,噬斑滴定法检测灭活前后的病毒滴度,-干热法灭活脑心肌炎病毒(EMCV)和猪细小病毒(PPV),细胞病变法检测灭活前后的病毒滴度。结果:经S/D处理法灭活后,3批含S/D样品中辛德毕斯病毒降低量分别为>4.35 lg PFU·mL^(-1)、>4.51 lg PFU·mL^(-1)、>4.64 lg PFU·mL^(-1)。经干热法灭活后,3批不含S/D样品中EMCV降低量分别为≥5.38 lg TCID_(50)/0.1 mL、≥5.12 lg TCID_(50)/0.1 mL、≥5.25 lg TCID_(50)/0.1 mL,PPV降低量分别为4.57 lg TCID_(50)/0.1 mL、4.18 lg TCID_(50)/0.1 mL、4.68 lg TCID_(50)/0.1 mL。结论:通过对指示病毒的验证效果评估,证明S/D法和干热法对C1-INH中的辛德毕斯病毒、EMCV和PPV均有较好的灭活效果。
文摘准确判别燃爆状态是测量燃爆延滞期并计算爆发点参数的关键。针对单一传感器判别效果不佳、多个传感器判别结果相互冲突的问题,利用D-S(Dempster-Shafer)证据理论对冲突证据进行联合判别。首先根据含能材料燃爆特性和爆发点测试原理,设计了基于温度和声音的联合判别装置;从实验数据出发,采用模型拟合提取温度特征值,以及声音信号最大值为声音特征值。其次,根据Sigmoid模型求解出BPA(Basic Probability Assignment)函数,并通过信度熵对可能存在冲突的BPA函数值进行预处理;最终,利用D-S证据理论进行燃爆状态联合判别。实验结果表明,所提方法有效提高了实验装置的鲁棒性和状态判别的置信概率,燃爆判别准确率达到了96.5%,优于温度、声音等单一传感器的判别效果。
