检索结果-南通市图书馆

Verifying hierarchical network nonlocality in general quantum networks

在线全文

学校读者我要写书评

暂无评论

Chinese Physics B 2024年第7期33卷 199-208页

作者：杨舒媛侯晋川贺衎 College of Mathematics Taiyuan University of TechnologyTaiyuan 030024China

Recently, a class of innovative notions on quantum network nonlocality(QNN), called full quantum network nonlocality(FQNN), have been proposed in Phys. Rev. Lett. 128 010403(2022). As the generalization of full network nonlocality(FNN), l-level quantum network nonlocality(l-QNN) was defined in arxiv. 2306.15717 quant-ph(2024). FQNN is a NN that can be generated only from a network with all sources being non-classical. This is beyond the existing standard network nonlocality, which may be generated from a network with only a non-classical source. One of the challenging tasks is to establish corresponding Bell-like inequalities to demonstrate the FQNN or l-QNN. Up to now, the inequality criteria for FQNN and l-QNN have only been established for star and chain networks. In this paper, we devote ourselves to establishing Bell-like inequalities for networks with more complex structures. Note that star and chain networks are special kinds of tree-shaped networks. We first establish the Bell-like inequalities for verifying l-QNN in k-forked tree-shaped networks. Such results generalize the existing inequalities for star and chain networks. Furthermore, we find the Bell-like inequality criteria for l-QNN for general acyclic and cyclic networks. Finally, we discuss the demonstration of l-QNN in the well-known butterfly networks.

关键词： full network nonlocality hierarchical network nonlocality tree network

Treatment of a patient with aconitine poisoning using veno-arterial membrane oxygenation:A case report

在线全文

学校读者我要写书评

暂无评论

World Journal of Clinical Cases 2024年第21期12卷 4842-4852页

作者： Yu-Yao Bian jin hou Sudha Khakurel Department of Emergency Medicine Hebei Petro China Central HospitalLangfang 065000Hebei ProvinceChina Department of Internal Medicine Langfang Health Vocational CollegeLangfang 065000Hebei ProvinceChina Dallas Campus UT Health Houston School of Public HealthDallasTX 75201United States

BACKGROUND Aconitine poisoning is highly prone to causing malignant *** elimination of aconitine from the body takes a considerable amount of time,and during this period,patients are at a significant risk of death due to malignant arrhythmias associated with aconitine *** SUMMARY A 30-year-old male patient was admitted due to accidental ingestion of aconitinecontaining *** arrival at the emergency department,the patient intermittently experienced malignant arrhythmias including ventricular tachycardia,ventricular fibrillation,ventricular premature beats,and cardiac *** interventions such as cardiopulmonary resuscitation and defibrillation were promptly ***,veno-arterial extracorporeal membrane oxygenation(VA-ECMO)therapy was *** resuscitation was achieved before ECMO placement,but upon initiation of ECMO,the patient experienced recurrent malignant *** was utilized to maintain hemodynamics and respiration,while continuous blood purification therapy for toxin clearance,mechanical ventilation,and hypothermic brain protection therapy were concurrently *** the third day of VA-ECMO support,the patient’s respiratory and hemodynamic status stabilized,with only frequent ventricular premature beats observed on electrocardiographic monitoring,and echocardiography indicated recovery of cardiac contractile *** the fourth day,a significant reduction in toxin levels was observed,along with stable hemodynamic and respiratory *** a successful pump-controlled retrograde trial occlusion test,ECMO assistance was *** patient gradually improved postoperatively and achieved *** was discharged 11 days *** VA-ECMO can serve as a bridging resuscitation technique for patients with reversible malignant arrhythmias.

关键词： Poisoning Arrhythmia Blood purification Veno-arterial extracorporeal membrane oxygenation Resuscitation Case report

基于二阶统计特性的方向向量估计算法的DOA估计

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

电子与信息学报 2024年第2期46卷 697-704页

作者：侯进盛尧宝张波西南交通大学信息科学与技术学院智能感知智慧运维实验室成都611756

为了减小天线阵流形误差对波达方向(DOA)估计结果的影响,以及克服基于传统盲源分离算法的DOA估计算法不能应用于少通道测向设备的不足,提出一种基于2阶统计特性的方向向量估计算法的DOA估计算法。首先,根据确定性最大似然(DML)估计算法... 详细信息

为了减小天线阵流形误差对波达方向(DOA)估计结果的影响,以及克服基于传统盲源分离算法的DOA估计算法不能应用于少通道测向设备的不足,提出一种基于2阶统计特性的方向向量估计算法的DOA估计算法。首先,根据确定性最大似然(DML)估计算法谱函数的特征,构造关于协方差矩阵的酉约束下的优化问题;然后,通过优化该问题获得各个单信号的实际方向向量;最后,将各个单信号的实际方向向量输入到空间谱算法中实现DOA估计。由于将多信号的DOA估计转化为多个单信号的DOA估计,因此在天线阵列流形存在误差时,所提算法比传统的DOA方法具有更好的DOA估计性能。由于所提算法仅需使用协方差矩阵,因此所提算法可应用于少通道测向设备。由仿真实验结果可知,在阵列流形存在误差以及测向设备为少通道测向设备时,与传统DOA方法相比,所提算法的DOA估计的准确度、抗扰度以及分辨率更高。

关键词： DOA估计天线阵列流形误差盲源分离酉约束

在线全文

学校读者我要写书评

暂无评论

基于Rényi-α熵的参数化纠缠度量

物理学报 2024年第4期73卷 37-46页

作者：戴伟鹏贺衎侯晋川太原理工大学数学学院太原030024

与各种非参数化纠缠度量相比,参数化纠缠度量显示了其优越性.并发纠缠被广泛用于描述量子实验中的纠缠.作为一种纠缠度量,它与特定Rényi-α熵有关.本文提出了一种基于Rényi-α熵的参数化两体纠缠度量,命名为α-对数并发纠缠.与现有的... 详细信息

与各种非参数化纠缠度量相比,参数化纠缠度量显示了其优越性.并发纠缠被广泛用于描述量子实验中的纠缠.作为一种纠缠度量,它与特定Rényi-α熵有关.本文提出了一种基于Rényi-α熵的参数化两体纠缠度量,命名为α-对数并发纠缠.与现有的参数化度量不同,首先定义了纯态的度量,然后推广到混合态.进一步验证了α-对数并发纠缠满足纠缠度量3个条件.展示了对纯态的度量是容易计算的,然而对于混合态,解析计算只适用于特殊的双量子位态或特殊的高维混合态.因此,本文致力于建立一般两体态α-对数并发纠缠的一个下界.令人惊讶的是,这个下界是这个混合态的正部分转置判据和重排判据的函数.这表明了3种纠缠度量之间的联系.有趣的是,下界依赖于与具体态相关的熵参数.这样我们可以选择适当的参数α,使得Gα(ρ)≫0用于特定态ρ的实验纠缠检测.此外,计算了isotropic态的α-对数并发纠缠的表达式,并给出了d=2时isotropic态的解析表达式.最后,讨论了α-对数并发纠缠的的单配性.建立了两个量子比特系统中并发纠缠和α-对数并发纠缠之间的函数关系,然后得到了该函数的一些有用性质,并结合Coffman-Kundu-Wootters(CKW)不等式,建立了关于α-对数并发纠缠的单配性不等式.最终证明了单配性不等式对于α-对数并发纠缠是成立的.

关键词：参数化度量 Rényi-α熵纠缠度量并发纠缠

Dynamics of self-hybridized exciton–polaritons in 2D halide perovskites

同方期刊数据库博看期刊评论

在线全文

学校读者我要写书评

暂无评论

Light(Science & Applications) 2024年第1期13卷 13-22页

作者： Surendra B.Anantharaman Jason Lynch Christopher E.Stevens Christopher Munley Chentao Li jin hou Hao Zhang Andrew Torma Thomas Darlington Francis Coen Kevin Li Arka Majumdar PJames Schuck Aditya Mohite Hayk Harutyunyan Joshua R.Hendrickson Deep Jariwala Department of Electrical and Systems Engineering University of PennsylvaniaPhiladelphiaPA19104USA KBR Inc. BeavercreekOH45431USA Air Force Research Laboratory Sensors DirectorateWright-Patterson Air Force BaseOH45433USA Department of Physics University of WashingtonSeattleWA98195USA Department of Physics Emory UniversityAtlantaGA30322USA Department of Chemical and Biomolecular Engineering Rice UniversityHoustonTX77005USA Department of Materials Science and Nanoengineering Rice UniversityHoustonTX77005USA Applied Physics Program Smalley‐Curl InstituteRice UniversityHoustonTX77005USA Department of Mechanical Engineering Columbia UniversityNew YorkNY10027USA Department of Electrical and Computer Engineering University of WashingtonSeattleWA98195USA

Excitons,bound electron–hole pairs,in two-dimensional hybrid organic inorganic perovskites(2D HOIPs)are capable of forming hybrid light-matter states known as exciton-polaritons(E–Ps)when the excitonic medium is confined in an optical *** the case of 2D HOIPs,they can self-hybridize into E–Ps at specific thicknesses of the HOIP crystals that form a resonant optical cavity with the ***,the fundamental properties of these self-hybridized E–Ps in 2D HOIPs,including their role in ultrafast energy and/or charge transfer at interfaces,remain ***,we demonstrate that>0.5µm thick 2D HOIP crystals on Au substrates are capable of supporting multiple-orders of self-hybridized E–P *** E–Ps have high Q factors(>100)and modulate the optical dispersion for the crystal to enhance sub-gap absorption and *** varying excitation energy and ultrafast measurements,we also confirm energy transfer from higher energy E–Ps to lower energy E–***,we also demonstrate that E–Ps are capable of charge transport and transfer at *** findings provide new insights into charge and energy transfer in E–Ps opening new opportunities towards their manipulation for polaritonic devices.

关键词： charge polar excitation

钙铝层状双氢氧化物(CaAl-LDH)对铅镉砷污染废水的吸附性能及机制研究

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Central South University 2024年第4期31卷 1292-1305页

作者：侯金凤孙倩郝秀珍 State Key Laboratory of Soil and Sustainable Agriculture Institute of Soil ScienceChinese Academy of SciencesNanjing 210008China University of Chinese Academy of Sciences Beijing 100049China College of Agricultural Sciences and Engineering Hohai UniversityNanjing 210098China

重金属污染普遍存在且日趋严重,解决阳离子和阴离子重金属共存的复合污染问题依然是一个严峻的挑战。本研究采用简便的原位共沉淀法制备了钙铝层状双氢氧化物(CaAl-LDH),用于去除水中的重金属离子。通过XRD、SEM、FTIR和XPS等表征方法研... 详细信息

重金属污染普遍存在且日趋严重,解决阳离子和阴离子重金属共存的复合污染问题依然是一个严峻的挑战。本研究采用简便的原位共沉淀法制备了钙铝层状双氢氧化物(CaAl-LDH),用于去除水中的重金属离子。通过XRD、SEM、FTIR和XPS等表征方法研究CaAl-LDH的制备及其对重金属离子的吸附机理。采用批吸附实验研究CaAl-LDH对Pb(Ⅱ)、Cd(Ⅱ)和As(Ⅴ)三种金属离子的吸附能力。结果表明,准一级动力学模型可以很好地拟合CaAl-LDH对三种重金属的吸附。吸附等温线结果表明,与Freundlich模型(R^(2)0.92)。Langmuir和Freundlich模型都能有效拟合Pb和As的吸附(R^(2)>0.90)。CaAl-LDH对Pb(Ⅱ)、Cd(Ⅱ)和As(Ⅴ)的最大吸附量分别为786.6、437.2和72.9 mg/g,并且在10 min内能够达到吸附平衡,反应快速高效。CaAl-LDH对铅、镉、砷的吸附机理各异。铅的吸附可能通过表面沉淀实现,而镉的吸附机理为同晶置换。至于As的吸附,可能涉及LDH层间的离子交换。该实验提供了一种对阴、阳离子重金属都具有高效吸附性能的LDH材料,并在重金属复合污染废水治理中显示出一定的应用潜力。

关键词：钙铝层状双氢氧化物(CaAl-LDH) 吸附重金属复合污染废水治理

Dual-channel face recognition system based on lightweight network

在线全文

学校读者我要写书评

暂无评论

Dual-channel face recognition system based on lightweight ne...

Lightweight abnormal behavior detection based on improved SSD algorithm

第35届中国过程控制会议

作者： Yan Chen jin hou Xingzhong Xiong Xuemei Li Hao Zhou Tao Wu Guobin Mao School of Automation and Information Engineering Sichuan University of Science & Engineering Artificial Intelligence Key Laboratory of Sichuan Province

Traditional face recognition techniques have achieved high recognition accuracy in normalized environments, but facing the occlusion caused by factors such as masks, hats, glasses, etc. will reduce their face recognition accuracy. Therefore, this paper proposes a dual-channel face recognition system based on a lightweight network to optimize recognition efficiency under non-ideal shooting conditions. The system adopts the MobileNetv3 lightweight convolutional neural network instead of InceptionResNet-v1 as the feature extraction network of FaceNet, which effectively reduces the model parameters and improves the computing speed. Secondly, a hybrid attention mechanism is introduced to compensate for the lack of spatial dimension of the SE attention mechanism in MobileNetv3, and the FPN feature pyramid module is integrated into the network to adapt to face images of different scales, which enhances the adaptability and robustness of the model. In view of the fact that training the model only on the occluded dataset may reduce the recognition accuracy of unoccluded faces, this paper trains and recognizes the occluded and unoccluded datasets separately. The experimental results show that the algorithm in this paper achieves a high recognition rate of 99.65% on the unobstructed test set and improves the recognition rate to 92.31% on the obstructed test set, which improves the accuracy of face recognition compared to the original network and other lightweight variants.

关键词： MobileNet V3 Lightweight network Face recognition FPN feature pyramid

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

Lightweight abnormal behavior detection based on improved SS...

第35届中国过程控制会议

作者： Xuemei Li jin hou Xingzhong Xiong Yan Chen Tao Wu Hao Zhou Guobin Mao Sichuan University of Science and Engineering Automation and Information Engineering Artificial Intelligence Key Laboratory of Sichuan Province

For the abnormal behavior identification problem, where the model depth is huge and cumbersome to deploy on mobile devices, a lightweight abnormal behavior detection model based on the improved SSD algorithm is proposed. Multiscale feature fusion is used to combine feature maps at different levels so that the model can capture simultaneous images;the backbone network is switched from VGGNet16 to the lighter MobileNetV3 to reduce the model size;the K-means clustering algorithm is introduced to cluster and analyze the size of the anchor frames that show anomalous behaviors, and the a priori frame sizes are corrected according to the clustering results to improve the detection speed several information scales, which strengthen the model's robustness and increase the detection performance of both small and large targets. The revised SSD model can be easily deployed on edge devices for real-time detection, as demonstrated by the experimental results, which also reveal that it has a superior detection effect for aberrant behavior detection and a smaller network structure volume.

关键词： MobileNetV3 K-means clustering Abnormal behavior detection

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

慢性应激诱导慢性痛-抑郁共病机制研究进展

生理科学进展 2024年第3期55卷 191-198页

作者：侯锦雯邢国刚北京大学神经科学研究所北京大学基础医学院神经生物学系教育部/卫健委神经科学重点实验室北京100191

慢性疼痛(简称慢性痛)和抑郁障碍是危害人类健康的两类常见疾病。慢性痛和抑郁常常伴随发生,相互影响,极大地提高了治疗难度。慢性痛和抑郁的发生具有共同或相互作用的神经回路及神经递质系统,神经炎症在慢性痛和抑郁的发病中也都具有... 详细信息

慢性疼痛(简称慢性痛)和抑郁障碍是危害人类健康的两类常见疾病。慢性痛和抑郁常常伴随发生,相互影响,极大地提高了治疗难度。慢性痛和抑郁的发生具有共同或相互作用的神经回路及神经递质系统,神经炎症在慢性痛和抑郁的发病中也都具有重要作用。相关神经回路功能障碍和神经炎症是慢性痛-抑郁共病的重要机制。慢性应激(chronic stress)是诱发抑郁和慢性痛的重要原因。以往的研究表明,下丘脑-垂体-肾上腺(hypothalamic-pituitary-adrenal,HPA)轴功能紊乱是慢性应激诱导抑郁及共病疼痛的病理基础,慢性应激可能通过HPA轴功能紊乱,促进神经炎症反应和神经回路功能障碍,导致慢性痛-抑郁共病。本文就慢性应激诱导慢性痛-抑郁共病的发病机制进行探讨,从HPA轴功能、神经炎症、涉及的大脑结构和神经回路等方面阐述慢性应激诱导慢性痛-抑郁共病的发病机制。

关键词：慢性应激慢性痛-抑郁共病 HPA轴神经炎症神经环路