Multi-valued quantum adder circuits,based on multi-valued logic,are significant components in numerous quantum algorithms.Their low-cost implementations can enhance the efficiency of these algorithms.In this paper,inn...Multi-valued quantum adder circuits,based on multi-valued logic,are significant components in numerous quantum algorithms.Their low-cost implementations can enhance the efficiency of these algorithms.In this paper,innovative universal architectures for d(d>3)-level quantum half-adder,full-adder,parallel adder,and parallel adder/subtractor circuits are designed using d-level 1-qudit(quantum digit)and M-S gates.To demonstrate the effectiveness of these architectures,quaternary adder circuits derived from them are displayed and compared with several existing counterparts.Judging by the results,these circuits exhibit reductions in quantum cost(QC),hardware complexity(HC),number of constant inputs(NCIs),and number of garbage outputs(NGOs).展开更多
很多未知功能结构域DUF(domain of unknown function)在植物生长发育中扮演着重要的角色,本研究以含有DUF1005结构域的基因为研究对象,通过CRISPR/Cas系统对拟南芥中AT1G10020进行基因编辑,在AT1G10020的第二外显子上设计sg RNA靶点序列...很多未知功能结构域DUF(domain of unknown function)在植物生长发育中扮演着重要的角色,本研究以含有DUF1005结构域的基因为研究对象,通过CRISPR/Cas系统对拟南芥中AT1G10020进行基因编辑,在AT1G10020的第二外显子上设计sg RNA靶点序列,构建重组质粒,获得CRISPR/Cas9-AT1G10020重组质粒,并采用农杆菌介导的花序浸染法转化至野生型拟南芥。结果分析发现,经抗性筛选和测序鉴定,共筛选获得6种不同的编辑类型,包括插入、缺失等;且拟南芥幼苗时期的根长发育表型观察显示,基因编辑株系与野生型比较,具有更短的初生根和更少的侧根。本研究获得了AT1G10020编辑纯合突变体,并为DUF1005的生物学功能的研究提供基础,也有助于对未知功能DUF新基因的挖掘和阐释。展开更多
The purpose of this article is to discuss a modified Halpern-type iteration algorithm for a countable family of uniformly totally quasi- ? -asymptotically nonexpansive multi-valued mappings and establish some strong c...The purpose of this article is to discuss a modified Halpern-type iteration algorithm for a countable family of uniformly totally quasi- ? -asymptotically nonexpansive multi-valued mappings and establish some strong convergence theorems under certain conditions. We utilize the theorems to study a modified Halpern-type iterative algorithm for a system of equilibrium problems. The results improve and extend the corresponding results of Chang et al. (Applied Mathematics and Computation, 218, 6489-6497).展开更多
Multi-Valued Neuron (MVN) was proposed for pattern classification. It operates with complex-valued inputs, outputs, and weights, and its learning algorithm is based on error-correcting rule. The activation function of...Multi-Valued Neuron (MVN) was proposed for pattern classification. It operates with complex-valued inputs, outputs, and weights, and its learning algorithm is based on error-correcting rule. The activation function of MVN is not differentiable. Therefore, we can not apply backpropagation when constructing multilayer structures. In this paper, we propose a new neuron model, MVN-sig, to simulate the mechanism of MVN with differentiable activation function. We expect MVN-sig to achieve higher performance than MVN. We run several classification benchmark datasets to compare the performance of MVN-sig with that of MVN. The experimental results show a good potential to develop a multilayer networks based on MVN-sig.展开更多
基金supported by the Natural Science Foundation of Sichuan Province(No.25QNJJ4066)Academic Degree and Post graduate Education Reform Project of Sichuan Province(Grants:YJGXM24-C017)。
文摘Multi-valued quantum adder circuits,based on multi-valued logic,are significant components in numerous quantum algorithms.Their low-cost implementations can enhance the efficiency of these algorithms.In this paper,innovative universal architectures for d(d>3)-level quantum half-adder,full-adder,parallel adder,and parallel adder/subtractor circuits are designed using d-level 1-qudit(quantum digit)and M-S gates.To demonstrate the effectiveness of these architectures,quaternary adder circuits derived from them are displayed and compared with several existing counterparts.Judging by the results,these circuits exhibit reductions in quantum cost(QC),hardware complexity(HC),number of constant inputs(NCIs),and number of garbage outputs(NGOs).
文摘很多未知功能结构域DUF(domain of unknown function)在植物生长发育中扮演着重要的角色,本研究以含有DUF1005结构域的基因为研究对象,通过CRISPR/Cas系统对拟南芥中AT1G10020进行基因编辑,在AT1G10020的第二外显子上设计sg RNA靶点序列,构建重组质粒,获得CRISPR/Cas9-AT1G10020重组质粒,并采用农杆菌介导的花序浸染法转化至野生型拟南芥。结果分析发现,经抗性筛选和测序鉴定,共筛选获得6种不同的编辑类型,包括插入、缺失等;且拟南芥幼苗时期的根长发育表型观察显示,基因编辑株系与野生型比较,具有更短的初生根和更少的侧根。本研究获得了AT1G10020编辑纯合突变体,并为DUF1005的生物学功能的研究提供基础,也有助于对未知功能DUF新基因的挖掘和阐释。
文摘The purpose of this article is to discuss a modified Halpern-type iteration algorithm for a countable family of uniformly totally quasi- ? -asymptotically nonexpansive multi-valued mappings and establish some strong convergence theorems under certain conditions. We utilize the theorems to study a modified Halpern-type iterative algorithm for a system of equilibrium problems. The results improve and extend the corresponding results of Chang et al. (Applied Mathematics and Computation, 218, 6489-6497).
文摘Multi-Valued Neuron (MVN) was proposed for pattern classification. It operates with complex-valued inputs, outputs, and weights, and its learning algorithm is based on error-correcting rule. The activation function of MVN is not differentiable. Therefore, we can not apply backpropagation when constructing multilayer structures. In this paper, we propose a new neuron model, MVN-sig, to simulate the mechanism of MVN with differentiable activation function. We expect MVN-sig to achieve higher performance than MVN. We run several classification benchmark datasets to compare the performance of MVN-sig with that of MVN. The experimental results show a good potential to develop a multilayer networks based on MVN-sig.
