Eight oligonucleotide fragments were designed with the aid of a computer and synthesizedaccording to the amino add sequcnce of human atrial natriuretic factor(ANF).By means of an-nealing and ligation,these fragments w...Eight oligonucleotide fragments were designed with the aid of a computer and synthesizedaccording to the amino add sequcnce of human atrial natriuretic factor(ANF).By means of an-nealing and ligation,these fragments were assembled into an overlapping concatenator consisting oftwo ANF genes ligated by TGATG for termination and initiation of translation.Theconcatenator was omserted into plasmid pRC23 and the recobinant DNA was transformed into E.coli strain TAP106.Analysis by restriction enzyme mapping,hybridization and DNA sequenongshowed that the orientation and reading frame of the gene were correct.展开更多
近年来,基于张量补全的频谱制图得到了广泛研究.目前用于频谱制图的张量补全算法大多隐含地假设张量具有平衡特性,而对于非平衡张量,难以利用其低秩性估计完整的张量信息,导致补全算法性能受损.本文提出基于重叠Ket增强(Overlapping Ket...近年来,基于张量补全的频谱制图得到了广泛研究.目前用于频谱制图的张量补全算法大多隐含地假设张量具有平衡特性,而对于非平衡张量,难以利用其低秩性估计完整的张量信息,导致补全算法性能受损.本文提出基于重叠Ket增强(Overlapping Ket Augmentation,OKA)和张量列车(Tensor Train,TT)的非平衡频谱制图算法,以解决非平衡张量在应用传统张量补全算法时性能下降的问题.首先使用OKA将低阶高维张量表示为高阶低维张量,在无信息损耗的情况下解决非平衡张量无法利用其低秩性进行张量补全的问题;然后使用TT矩阵化得到较平衡的矩阵,在维度较平衡条件下提高补全算法的精确度;最后利用高阶低维张量的低秩性,使用并行矩阵分解或基于F范数的无奇异值分解(Singular Value Decomposition Free,SVDFree)算法完成张量补全.仿真结果表明,针对非平衡张量,所提方案与现有的张量补全算法相比,可以获得更精确的无线电地图,同时所提SVDFree算法具有更低的计算复杂度.展开更多
文摘Eight oligonucleotide fragments were designed with the aid of a computer and synthesizedaccording to the amino add sequcnce of human atrial natriuretic factor(ANF).By means of an-nealing and ligation,these fragments were assembled into an overlapping concatenator consisting oftwo ANF genes ligated by TGATG for termination and initiation of translation.Theconcatenator was omserted into plasmid pRC23 and the recobinant DNA was transformed into E.coli strain TAP106.Analysis by restriction enzyme mapping,hybridization and DNA sequenongshowed that the orientation and reading frame of the gene were correct.
文摘目的:探讨化痰理肺定喘汤联合噻托溴铵治疗老年哮喘-慢阻肺重叠综合征(Asthma-COPD overlap syndrome,ACOS)的临床效果。方法:回顾性收集2020年8月至2023年8月期间采用噻托溴铵治疗的37例老年ACOS患者资料,纳入对照组;采集同时期本院采用化痰理肺定喘汤联合噻托溴铵治疗的老年ACOS患者38例患者资料,纳入研究组。分析比较两组治疗前后中医证候积分、哮喘控制测试(Asthma control test,ACT)、慢阻肺评估测试(COPD assessment test,CAT)、用力肺活量(Forced vital capacity,FVC)、第一秒用力呼吸容积(Forced respiratory volume in the first second,FEV_(1))、最大呼气流量(Maximum expiratory flow,PEF)、白介素-6(Interleukin-6,IL-6)、肿瘤坏死因子-α(Tumor necrosis factor-α,TNF-α)、C-反应蛋白(C-reactive protein,CRP)以及不良反应。结果:治疗后,研究组各证候积分均显著低于对照组(P<0.05)。治疗后,研究组的ACT评分显著高于对照组,CAT评分显著低于对照组(P<0.05)。治疗后,研究组的FVC、FEV_(1)、PEF均显著高于对照组(P<0.05)。治疗后,研究组的IL-6、TNF-α、CRP均显著低于对照组(P<0.05)。两组治疗期间均未发生不良反应。结论:化痰理肺定喘汤联合噻托溴铵治疗老年ACOS患者,能缓解临床症状,改善肺功能,减轻炎症反应,且安全性好。
文摘近年来,基于张量补全的频谱制图得到了广泛研究.目前用于频谱制图的张量补全算法大多隐含地假设张量具有平衡特性,而对于非平衡张量,难以利用其低秩性估计完整的张量信息,导致补全算法性能受损.本文提出基于重叠Ket增强(Overlapping Ket Augmentation,OKA)和张量列车(Tensor Train,TT)的非平衡频谱制图算法,以解决非平衡张量在应用传统张量补全算法时性能下降的问题.首先使用OKA将低阶高维张量表示为高阶低维张量,在无信息损耗的情况下解决非平衡张量无法利用其低秩性进行张量补全的问题;然后使用TT矩阵化得到较平衡的矩阵,在维度较平衡条件下提高补全算法的精确度;最后利用高阶低维张量的低秩性,使用并行矩阵分解或基于F范数的无奇异值分解(Singular Value Decomposition Free,SVDFree)算法完成张量补全.仿真结果表明,针对非平衡张量,所提方案与现有的张量补全算法相比,可以获得更精确的无线电地图,同时所提SVDFree算法具有更低的计算复杂度.
