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Larger in-plane upper critical field and superconducting diode effect observed in topological superconductor candidate InNbS_(2)nanoribbons

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Nano Research 2024年第7期17卷 6686-6694页

作者： Bo Zheng Changlong Wang xukun feng Xiaozhen Sun Shasha Wang Dawei Qiu Xiang Ma Ruimin Li Guanglei Cheng Lan Wang Yalin Lu Peng Li Shengyuan A.Yang Bin Xiang Department of Materials Science and Engineering CAS Key Lab of Materials for Energy ConversionAnhui Laboratory of Advanced Photon Science and TechnologyUniversity of Science and Technology of ChinaHefei 230026China Research Laboratory for Quantum Materials Singapore University of Technology and DesignSingapore 487372Singapore School of Microelectronics University of Science and Technology of ChinaHefei 230052China CAS Key Laboratory of Microscale Magnetic Resonance and School of Physical Sciences University of Science and Technology of ChinaHefei 230026China Lab of Low Dimensional Magnetism and Spintronic Devices School of PhysicsHefei University of TechnologyHefei 230009China Research Laboratory for Quantum Materials IAPMEUniversity of MacaoMacaoChina

Recently,the coexistence of topology and superconductivity has garnered considerable ***,the dimensionality of these materials is crucial for the realization of topological quantum ***,the naturally grown materials,especially with one-dimensional feature that exhibits the coexistence of topology and superconductivity,still face challenges in terms of experimental realization and scalability,which hinders the fundamental research development and the potential to revolutionize quantum ***,we report the first experimental synthesis of quasi-one-dimensional InNbS_(2)nanoribbons that exhibit the coexistence of topological order and superconductivity via a chemical vapor transport ***,the inplane upper critical field of InNbS_(2)nanoribbons exceeds the Pauli paramagnetic limit by more than 2.2 times,which can be attributed to the enhanced spin-orbit coupling and the weakened interlayer interaction between the NbS_(2)layers induced by the insertion of In atoms,making InNbS_(2)exhibit spin-momentum locking similar to that of monolayer NbS_(2).Moreover,for the first time,we report the superconducting diode effect in a quasi-one-dimensional superconductor system without any inherent geometric *** measured maximum efficiency is manifested as 14%,observed atμ0H≈±60 mT,and we propose that the superconducting diode effect can potentially be attributed to the presence of the nontrivial topological *** work provides a platform for studying exotic phenomena in condensed matter physics and potential applications in quantum computing and quantum information processing.

关键词： topological order superconductivity nanoribbon superconducting anisotropy superconducting diode

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Temperature-dependent photoluminescence of lead-free cesium tin halide perovskite microplates

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Chinese Physics B 2023年第11期32卷 116-123页

作者：谭佳雨周译玄卢德冯旭坤刘玉琪张蒙恩卢方正一黄媛媛徐新龙 Shaanxi Joint Laboratory of Graphene State Key Laboratory of Photon-Technology in Western China EnergyInternational Collaborative Center on Photoelectric Technology and Nano Functional MaterialsInstitute of Photonics&Photon-TechnologySchool of PhysicsNorthwest UniversityXi’an 710069China

Tin halide perovskites recently have attracted extensive research attention due to their similar electronic and band structures but non-toxicity compared with their lead analogues. In this work, we prepare high-quality CsSnX_(3)(X=Br,I) microplates with lateral sizes of around 1–4 μm by chemical vapor deposition and investigate their low-temperature photoluminescence(PL) properties. A remarkable splitting of PL peaks of the CsSnBr_(3)microplate is observed at low temperatures. Besides the possible structural phase transition at below 70 K, the multi-peak fittings using Gauss functions and the power-dependent saturation phenomenon suggest that the PL could also be influenced by the conversion from the emission of bound excitons into free excitons. With the increase of temperature, the peak position shows a blueshift tendency for CsSnI_(3), which is governed by thermal expansion. However, the peak position of the CsSnBr3microplate exhibits a transition from redshift to blueshift at ~160 K. The full width at half maximum of CsSnX_(3)broadens with increasing temperature, and the fitting results imply that longitudinal optical phonons dominate the electron–phonon coupling and the coupling strength is much more robust in CsSnBr3than in CsSnI_(3). The PL intensity of CsSnX_(3)microplates is suppressed due to the enhanced non-radiative relaxation and exciton dissociation competing with radiative recombination. According to the Arrhenius law, the exciton binding energy of CsSnBr_(3)is ~38.4 meV, slightly smaller than that of CsSnI_(3).

关键词： cesium tin halide perovskite temperature-dependent photoluminescence chemical vapor deposi-tion microplate

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HACH(DRB200)型消解反应器在废水总氮测定中的应用

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环保科技 2015年第1期21卷 42-44页

作者：冯绪坤魏薇张伟山东省南四湖水质监测中心站山东济宁272100

将HACH（DRB 200）型消解反应器运用于紫外分光光度法测定水中总氮,通过探讨测定过程中碱性过硫酸钾溶液用量、盐酸溶液用量、加热温度和加热时间等影响因素,得到最优实验条件。实验结果表明,该优化方法可节省碱性过硫酸钾溶液和盐酸溶... 详细信息

将HACH（DRB 200）型消解反应器运用于紫外分光光度法测定水中总氮,通过探讨测定过程中碱性过硫酸钾溶液用量、盐酸溶液用量、加热温度和加热时间等影响因素,得到最优实验条件。实验结果表明,该优化方法可节省碱性过硫酸钾溶液和盐酸溶液用量,升温速度快,提高了分析效率,在0.25~5.00 mg/L范围内线性关系良好,方法检出限为0.03 mg/L,实际水样加标回收率处于97.0%~104.0%之间,在准确度、精密度以及最低检出浓度方面均能满足质控要求。

关键词： HACH(DRB 200)型反应器消解总氮

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北京地区白蜡敛片叶蜂生物学初步观察及色板诱集试验

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植物保护 2024年第4期50卷 318-322页

作者：薛正黄旭昆冯淼王松袁宝庆赵文秀张菁宇张旭杨梦怡北京市昌平区园林绿化局北京102200 北京农生科技有限公司北京101313 北京市昌平区十三陵镇城乡建设服务中心北京102213 北京绿宜生植物养护科技有限公司北京101313

白蜡敛片叶蜂Tomostethus fraxini是近些年白蜡树上新发现的一种食叶害虫,调查发现该虫在北京1年发生1代,以老熟幼虫做茧在土中越冬,3月中旬开始化蛹,3月下旬出现成虫;成虫将卵产于叶片边缘,幼虫取食叶片,为害盛期为4月下旬至5月上旬。... 详细信息

白蜡敛片叶蜂Tomostethus fraxini是近些年白蜡树上新发现的一种食叶害虫,调查发现该虫在北京1年发生1代,以老熟幼虫做茧在土中越冬,3月中旬开始化蛹,3月下旬出现成虫;成虫将卵产于叶片边缘,幼虫取食叶片,为害盛期为4月下旬至5月上旬。色板诱集试验表明,8种颜色粘虫板均可以诱集到成虫,深绿色、蓝色、黄色诱集效果较好,与其他5种颜色粘虫板达到显著性差异。本文对各虫态进行了描述,提供了彩色图片,讨论了该虫发生趋势。

关键词：白蜡敛片叶蜂形态学生物学诱集试验

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Learning Semantic Concepts from Noisy Media Collection for Automatic Image Annotation

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Chinese Journal of Electronics 2015年第4期24卷 790-794页

作者： TIAN feng SHEN xukun School of Computer and Information Technology Northeast Petroleum University State Key Laboratory of Virtual Reality Technology and Systems Beihang University

Along with the explosive growth of images, automatic image annotation has attracted great interest of various research communities. However, despite the great progress achieved in the past two decades, automatic annotation is still an important open problem in computer vision, and can hardly achieve satisfactory performance in real-world environment. In this paper, we address the problem of annotation when noise is interfering with the dataset. A semantic neighborhood learning model on noisy media collection is proposed. Missing labels are replenished, and semantic balanced neighborhood is construct. The model allows the integration of multiple label metric learning and local nonnegative sparse *** construct semantic consistent neighborhood for each sample, thus corresponding neighbors have higher global similarity, partial correlation, conceptual similarity along with semantic balance. Meanwhile, an iterative denoising method is also proposed. The method proposed makes a marked improvement as compared to the current state-ofthe-art.

关键词： Image annotation Noisy media collection Semantic neighborhood

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Image Tagging by Semantic Neighbor Learning Using User-Contributed Social Image Datasets

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Tsinghua Science and Technology 2017年第6期22卷 551-563页

作者： feng Tian xukun Shen Xianmei Liu Maojun Cao the School of Computer and Information Technology Northeast Petroleum University Daqing 163318 China xukun Shen is with State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing 100191 China.

The explosive increase in the number of images on the Internet has brought with it the great challenge of how to effectively index, retrieve, and organize these resources. Assigning proper tags to the visual content is key to the success of many applications such as image retrieval and content mining. Although recent years have witnessed many advances in image tagging, these methods have limitations when applied to high-quality and large-scale training data that are expensive to obtain. In this paper, we propose a novel semantic neighbor learning method based on user-contributed social image datasets that can be acquired from the Web＇s inexhaustible social image content. In contrast to existing image tagging approaches that rely on high-quality image-tag supervision, we acquire weak supervision of our neighbor learning method by progressive neighborhood retrieval from noisy and diverse user-contributed image collections. The retrieved neighbor images are not only visually alike and partially correlated but also semantically related. We offer a step-by-step and easy-to-use implementation for the proposed method. Extensive experimentation on several datasets demonstrates that the performance of the proposed method significantly outperforms others.

关键词： image tag social image tagging user-contributed datasets semantic neighbor learning

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A Systematic Investigation of Complement and Coagulation-Related Protein in Autism Spectrum Disorder Using Multiple Reaction Monitoring Technology

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Neuroscience Bulletin 2023年第11期39卷 1623-1637页

作者： Xueshan Cao Xiaoxiao Tang Chengyun feng Jing Lin Huajie Zhang Qiong Liu Qihong Zheng Hongbin Zhuang xukun Liu Haiying Li Naseer Ullah Khan Liming She College of Life Science and Oceanography Shenzhen UniversityShenzhen518060China College of Physics and Optoelectronics Engineering Shenzhen UniversityShenzhen518060China Maternal and Child Health Hospital of Baoan Shenzhen518100China Department of Endocrinology Guiyang First People’s HospitalGuiyang550002China Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions Shenzhen518055China Shenzhen Key Laboratory of Marine Biotechnology and Ecology Shenzhen518060China

Autism spectrum disorder(ASD)is one of the common neurodevelopmental disorders in *** etiology and pathogenesis are poorly *** studies have suggested potential changes in the complement and coagulation pathways in individuals with *** this study,using multiple reactions monitoring proteomic technology,16 of the 33 proteins involved in this pathway were identified as differentially-expressed proteins in plasma between children with ASD and *** them,CFHR3,C4BPB,C4BPA,CFH,C9,SERPIND1,C8A,F9,and F11 were found to be altered in the plasma of children with ASD for the first ***1 expression was positively correlated with the CARS *** the machine learning method,we obtained a panel composed of 12 differentially-expressed proteins with diagnostic potential for *** also reviewed the proteins changed in this pathway in the brain and blood of patients with *** complement and coagulation pathways may be activated in the peripheral blood of children with ASD and play a key role in the pathogenesis of ASD.

关键词： pathogenesis children complement

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弱标签环境下基于语义邻域学习的图像标注

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计算机研究与发展 2014年第8期51卷 1821-1832页

作者：田枫沈旭昆虚拟现实技术与系统国家重点实验室(北京航空航天大学) 北京100191 东北石油大学计算机与信息技术学院黑龙江大庆163318

图像语义自动标注是实现图像语义检索与管理的关键,是具有挑战性的研究课题.传统的图像标注方法需要具有完整、准确标签的数据集才能取得较好的标注性能.然而,在现实应用中获得数据的标签往往是不准确、不完整的,并且标签分布不均衡.对... 详细信息

图像语义自动标注是实现图像语义检索与管理的关键,是具有挑战性的研究课题.传统的图像标注方法需要具有完整、准确标签的数据集才能取得较好的标注性能.然而,在现实应用中获得数据的标签往往是不准确、不完整的,并且标签分布不均衡.对于Web图像和社会化图像尤其如此.为了更好地利用这些弱标签样本,提出了一种基于语义邻域学习的图像自动标注方法(semantic neighborhood learning from weakly labeled image,SNLWL).首先在邻域标签损失误差最小化意义下,填充训练集样本标签.通过递进式的邻域选择过程,保证建立的语义一致邻域内样本具有全局相似性、部分相关性和语义一致性,并且语义标签分布平衡.在邻域标签重构误差最小化意义下进行标签预测,降低噪声标签对性能的影响.多个数据集上的实验结果表明,与已知的具有较好标注效果的方法相比,此方法更适用于处理弱标签数据集,标准评测集上的测试也表明了此方法的有效性.

关键词：图像标注自动标注弱标签语义邻域邻域学习

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The R2R3-MYB transcription factor GhMYB1a regulates flavonol and anthocyanin accumulation in Gerbera hybrida

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Horticulture Research 2020年第1期7卷 1783-1795页

作者： Chunmei Zhong Yi Tang Bin Pang xukun Li Yuping Yang Jing Deng Chengyong feng Lingfei Li Guiping Ren Yaqin Wang Jianzong Peng Shulan Sun Shan Liang Xiaojing Wang College of Forestry and Landscape Architecture Key Laboratory of Energy Plants Resource and UtilizationMinistry of AgricultureP.R.ChinaSouth China Agricultural UniversityGuangzhou 510642China Guangdong Provincial Key Laboratory of Biotechnology for Plant Development School of Life SciencesSouth China Normal UniversityGuangzhou 510631China Key Laboratory of Plant Resources and Beijing Botanical Garden Institute of BotanyChinese Academy of SciencesBeijing 100093China Key Laboratory of Southern Subtropical Plant Diversity Fairy Lake Botanical GardenShenzhen&Chinese Academy of SciencesShenzhenGuangdong 518004China

Anthocyanins and flavonols have vital roles in flower coloration,plant development,and *** anthocyanins and flavonols share the same subcellular localization and common biosynthetic substrates,these pathways may compete for ***,the mechanism regulating this potential competition remains ***,we identified GhMYB1a,an R2R3-MYB transcription factor involved in the regulation of anthocyanin and flavonol accumulation in gerbera(Gerbera hybrida).GhMYB1a shares high sequence similarity with that of other characterized regulators of flavonol *** addition,GhMYB1a is also phylogenetically grouped with these *** overexpression of GhMYB1a in gerbera and tobacco(Nicotiana tabacum)resulted in decreased anthocyanin accumulation and increased accumulation of flavonols by upregulating the structural genes involved in flavonol *** further found that GhMYB1a functions as a homodimer instead of interacting with basic helix-loop-helix *** results suggest that GhMYB1a is involved in regulating the anthocyanin and flavonol metabolic pathways through precise regulation of gene *** functional characterization of GhMYB1a provides insight into the biosynthesis and regulation of flavonols and anthocyanins.

关键词： precise similarity insight

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大规模图像语义相关性自动标注

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计算机辅助设计与图形学学报 2013年第2期25卷 160-166,174页

作者：田枫沈旭昆刘贤梅北京航空航天大学虚拟现实技术与系统国家重点实验室北京100191 东北石油大学计算机与信息技术学院大庆163318

针对大规模图像集合的自动标注问题,提出一种图像语义相关性自动标注方法.首先提取图像的视觉特征,将每个样本表示为局部邻域样本点的稀疏线性组合;然后采用一种基于最大后验概率准则的多标签学习方法得到每幅图像的单特征标签相关度;... 详细信息

针对大规模图像集合的自动标注问题,提出一种图像语义相关性自动标注方法.首先提取图像的视觉特征,将每个样本表示为局部邻域样本点的稀疏线性组合;然后采用一种基于最大后验概率准则的多标签学习方法得到每幅图像的单特征标签相关度;最终对单个特征和特定标签的相关度阈值进行无偏估计,并采用无监督组合方法融合多种视觉特征和标签的相关度.互联网数据集测试结果表明,该方法是有效的.

关键词：图像标注语义相关性稀疏表示多标签学习

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