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Two-terminal self-rectifying optoelectronic synaptic devices with largest-dynamic-range updates

APPLIED MATERIALS TODAY 2023年 30卷

作者： Huang, Wen Hang, Pengjie Xia, xuwen Li, Bin Li, Biao Kan, chenxia Zhang, Huixing Zhu, chen Wang, chenhao Zhu, Xiaodong Yang, Deren Pi, Xiaodong Yu, Xuegong Li, Xing'ao Nanjing Univ Posts & Telecommun New Energy Technol Engn Lab Jiangsu Provence 9 Weiyuan Rd Nanjing 210023 Peoples R China Nanjing Univ Posts & Telecommun Sch Sci 9 Weiyuan Rd Nanjing 210023 Peoples R China Zhejiang Univ State Key Lab Silicon Mat Hangzhou 310027 Peoples R China Nanjing Univ Posts & Telecommun Coll Elect & Opt Engn Nanjing 210023 Peoples R China Nanjing Univ Posts & Telecommun Coll Microelect Nanjing 210023 Peoples R China Zhejiang Univ Sci & Technol Sch Sci Hangzhou 310027 Peoples R China

Two-terminal optoelectronic synaptic devices have attracted increasing attention owing to their simplicity of structures, which facilitate the device integration in neuromorphic computing systems. However, synaptic-weight updates and self-rectifying properties in two-terminal optoelectronic synaptic devices are inferior. Here, we fabricate two-terminal optoelectronic synaptic devices in accordance with the hybrid structure of optically active layers MAPbI(3) and electron transport layers (ETLs) SnO2 in an n-i-p planar system, where MAPbI3 and SnO2 are used for generating and trapping carriers, respectively. Synaptic functionalities such as excitatory post-synaptic current (EPSC), paired-pulse facilitation (PPF), spike-number dependent plasticity (SNDP), and spike-rate dependent plasticity (SRDP) are all successfully mimicked without external bias. These synaptic devices possess self-rectifying properties with a highest ratio of similar to 0.3 x 10(3) and their synaptic weight exhibits largest-dynamic-range updates of 14.3 within 14 seconds among the reported two-terminal optoelectronic synaptic devices. Furthermore, the spike-number tunability of EPSC in the synaptic devices leads to the realization of straight running of agrimotor driverless technology. Results dramatically promote the development of two-terminal optoelectronic synaptic devices in neuromorphic computing.

关键词： Two-terminal optoelectronic synaptic devices SnO2 MAPbI(3) Self-rectifying Synaptic-weight updates

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知识驱动的船舶分段建造车间在线调度方法

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船舶工程 2023年第7期45卷 156-161,169页

作者：陈冶景旭文刘磊李海鹏康超刘金锋江苏科技大学机械工程学院江苏镇江212100 招商局邮轮制造有限公司江苏南通226116

针对船舶分段建造车间工位利用率低的问题,提出基于聚类算法的知识驱动船舶分段建造车间在线调度方法。利用DBSCAN算法对小组立参数进行聚类,并提取簇中的调度特征参数,作为该簇的调度知识;对于待加工小组立,依据参数数据确定归属的聚类... 详细信息

针对船舶分段建造车间工位利用率低的问题,提出基于聚类算法的知识驱动船舶分段建造车间在线调度方法。利用DBSCAN算法对小组立参数进行聚类,并提取簇中的调度特征参数,作为该簇的调度知识;对于待加工小组立,依据参数数据确定归属的聚类簇,并为其绑定该簇调度知识。实例验证表明,知识驱动的在线调度方法相对于传统的调度方法,车间工位平均利用率提升了7.97%,说明采用文章提出的在线调度方法可有效改善分段建造车间调度问题。

关键词：船舶建造聚类算法调度知识知识驱动

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基于德尔菲法构建慢性心力衰竭病人居家容量管理行为偏差评估工具

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护理研究 2024年第13期38卷 2281-2287页

作者：徐佳忆张慧超孙兴陈辰徐冬梅殷徐雯宋海燕周媛顾则娟南京中医药大学护理学院江苏210023 南京医科大学附属妇产医院南京医科大学护理学院南京医科大学第一附属医院

目的:构建慢性心力衰竭病人居家容量管理行为偏差评估工具。方法:通过文献回顾、半结构化访谈、小组讨论、专家函询形成慢性心力衰竭病人居家容量管理行为偏差评估工具初稿,采用德尔菲法进行2轮专家函询,对评估工具各条目进行修订,形成... 详细信息

目的:构建慢性心力衰竭病人居家容量管理行为偏差评估工具。方法:通过文献回顾、半结构化访谈、小组讨论、专家函询形成慢性心力衰竭病人居家容量管理行为偏差评估工具初稿,采用德尔菲法进行2轮专家函询,对评估工具各条目进行修订,形成最终评估工具。结果:2轮专家咨询积极系数为88.00%和90.91%,权威系数分别为0.891和0.900,肯德尔协调系数(Kendall′s W)值分别为0.108和0.206,均P<0.001。最终形成的评估工具共有8个维度、49个条目,即基本信息(6个条目),限制液体摄入量(6个条目),监测液体排出量(6个条目),限制钠盐摄入(8个条目),监测体重(8个条目),监测心力衰竭相关症状体征及血压、心率(6个条目),关注就医指征(4个条目)和利尿剂的调整时机(5个条目)。结论:基于德尔菲法构建的慢性心力衰竭病人居家容量管理行为偏差评估工具具有较高的可靠性,可用于慢性心力衰竭病人居家容量管理行为偏差现状及影响因素的调查,为提高病人院外自我管理能力、改善容量管理现状、制定干预方案提供参考依据。

关键词：慢性心力衰竭容量管理行为偏差延续性护理德尔菲法

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Fe2+-Coupled Organic-Substrate-Enhanced Nitrogen Removal in Two-Stage Anammox Biofilm Reactors

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Processes 2025年第5期13卷 1603-1603页

作者： Yingchun Bao Qilong Ge Siyuan Li Xiaowei Wang xuwen Zheng Zhenguo chen Architecture & Engineers Co. Ltd. of Southeast University Nanjing 210096 China Hua An Biotech Co. Ltd. Foshan 528300 China School of Environment South China Normal University Guangzhou 510006 China

Anammox is a novel and energy-efficient biological nitrogen removal technology. Enhancing its performance in treating low-strength nitrogen wastewater is essential for expanding its practical applications. In response to challenges such as low nitrogen removal efficiency (NRE), poor operational stability, limited environmental resistance, and the interference of organic compounds commonly found in real wastewater, this study developed a two-stage upflow anammox biofilm reactor system (R1 and R2) enhanced by an Fe2+-coupled organic substrate strategy for deep nitrogen removal under low-nitrogen conditions. Results showed that sodium acetate at a chemical oxygen demand (COD) concentration of 40 mg/L provided the greatest enhancement to anammox activity, achieving an average total nitrogen removal efficiency (NRE) of 90.02%. However, the reactor performance was significantly inhibited under higher COD conditions (e.g., COD = 60 mg/L). Under an influent Fe2+ concentration of 10 mg/L, the reactors’ NRE increased and then decreased as the COD concentration rose from 0 to 100 mg/L, resulting in the highest efficiency being achieved at an average NRE of 94.11%, observed under 10 mg/L Fe2+ coupled with 60 mg/L of COD in the two-stage anammox system. Scanning electron microscopy revealed that the co-addition of Fe2+ and organic substrates led to the formation of granular protrusions and pores on the sludge surface, which favored the structural stability of the biomass. At a COD level of 40 mg/L, the contents of extracellular polymeric substances and heme c in anammox biofilm were significantly higher compared to the addition of 10 mg/L Fe2+ alone, whereas excessive COD inhibited both indicators. These findings suggest that moderate levels of Fe2+ coupled with organic matter can promote anammox activity for deep nitrogen removal, while excessive organics have inhibitory effects. This study provides theoretical support for enhancing nitrogen removal from low-strength wastewater

关键词： biological nitrogen removal anammox Fe organic substrates enhancement

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Combining ¹H-NMR-based metabonomics and network pharmacology to dissect the mechanism of antidepression effect of Milletia speciosa Champ on mouse with chronic unpredictable mild stress-induced depression

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JOURNAL OF PHARMACY AND PHARMACOLOGY 2021年第7期73卷 881-892页

作者： Su, Zhiheng Ruan, Junxiang Liu, Xi Zheng, Hua Ruan, Jingzhou Lu, Yuying cheng, Bang Wu, Fang Wu, Jinxia Liu, xuwen Song, Fangming chen, Zhaoni Song, Hui Liang, Yonghong Guo, Hongwei Guangxi Med Univ Pharmaceut Coll Nanning 530021 Peoples R China Guangxi Yuhualing Technol Dev Co LTD Nanning Peoples R China Guangxi Med Univ Life Sci Inst Nanning Peoples R China Peoples Hosp Guangxi Zhuang Autonomous Reg Dept Pharm Nanning Peoples R China

Objectives Milletia speciosa Champ (MS), a traditional Chinese medicine, has the abilities of antistress, antifatigue, anti-oxidation and so on. In our previous study, MS was found to antidepression while the underlying mechanism of which needs further elucidation. Methods Here, a proton nuclear magnetic resonance (H-1-NMR)-based metabonomics combined network pharmacology research approach was performed to investigate the antidepressive mechanism of MS act on mouse with chronic unpredictable mild stress-induced depression. Key findings Results showed that MS could alleviate the ethology of depression (including sucrose preference degree, crossing lattice numbers and stand-up times) and disordered biochemical parameters (5-hydroxytryptamine, norepinephrine and brain-derived neurotrophic factor). Metabonomics study and network pharmacology analysis showed that MS might improve depression through synergistically regulating five targets including Maoa, Maob, Ache, Ido1 and Comt, and three metabolic pathways such as tryptophan metabolism, synthesis of neurotransmitter and phospholipid metabolism. Conclusions This study for the first time preliminary clarified the potential antidepressive mechanism of MS and provided theoretical basis for developing MS into novel effective antidepressant.

关键词： metabonomics H-1-NMR network pharmacology depression chronic unpredictable mild stress Milletia speciosa Champ

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一种基于STI-YOLO的锌花背景干扰下带钢表面缺陷检测方法

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河南师范大学学报（自然科学版） 2023年第4期51卷 84-92页

作者：魏明军陈钊纪占林周太宇闫旭文刘铭华北理工大学人工智能学院河北唐山063210 华北理工大学河北省工业智能感知重点实验室河北唐山063210

针对有花镀层钢板表面缺陷检测过程中由于锌花底纹干扰导致缺陷识别率低的问题,提出一种以目标检测算法YOLOv5s为基础并通过引入通道注意力机制和金字塔卷积网络的Spangles Texture Interference-YOLO(STI-YOLO)算法模型.根据缺陷数据... 详细信息

针对有花镀层钢板表面缺陷检测过程中由于锌花底纹干扰导致缺陷识别率低的问题,提出一种以目标检测算法YOLOv5s为基础并通过引入通道注意力机制和金字塔卷积网络的Spangles Texture Interference-YOLO(STI-YOLO)算法模型.根据缺陷数据集重新聚类,优化先验框;在特征融合网络PANet之前引入通道注意力机制SENet,抑制锌花背景的干扰;在预测网络之前添加金字塔卷积网络,取得更加丰富的上下文特征.实验结果表明,STI-YOLO模型提升了带钢表面缺陷的检测精度,平均精度均值mAP达到了95.79%,较YOLOv3、YOLOv4和YOLOv5s算法分别提高了13.13个百分点、14.59个百分点和2.07个百分点.检测速度为54.14 frame/s,满足实时性要求,可见STI-YOLO模型具有较好的检测性能.

关键词：缺陷检测特征融合注意力机制多尺度特征锌花背景干扰

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畜禽肌内脂肪沉积相关转录组研究进展

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黑龙江畜牧兽医 2023年第9期 24-27,32页

作者：邵旭文鲁馨檀柳杭孙丽敏陈洋姜怀志吉林农业大学动物科学技术学院/农业农村部畜禽资源(羊)评价利用重点实验室长春130118

肌内脂肪是影响动物肉质的重要因素之一,由肌内脂肪形成的大理石花纹是消费者评价动物肉质的最直观指标之一。肌内脂肪含量直接影响肉的口感、嫩度和风味,是动物肉质性状的重要组成部分,也是评定动物肉质的关键指标,受品种、性别、年龄... 详细信息

肌内脂肪是影响动物肉质的重要因素之一,由肌内脂肪形成的大理石花纹是消费者评价动物肉质的最直观指标之一。肌内脂肪含量直接影响肉的口感、嫩度和风味,是动物肉质性状的重要组成部分,也是评定动物肉质的关键指标,受品种、性别、年龄、日粮组成和营养成分的影响,通过引进国外品种与本地品种杂交改良并研究肌内脂肪沉积分子机制可以改善肌内脂肪含量。因此,动物肌内脂肪沉积及特异性调控因子的作用机制受到研究者们的广泛关注。文章对国内外运用转录组学探寻畜禽肌内脂肪沉积相关基因进行了综述,以期为深入研究畜禽产肉与肉质性状形成机制提供理论参考。

关键词：肌内脂肪脂肪沉积 mRNA lncRNA miRNA

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A Faster Maximum-Likelihood Modulation Classification in Flat Fading Non-Gaussian Channels

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IEEE COMMUNICATIONS LETTERS 2019年第3期23卷 454-457页

作者： chen, Wenhao Xie, Zhuochen Ma, Lu Liu, Jie Liang, xuwen Chinese Acad Sci Shanghai Inst Microsyst & Informat Technol Shanghai 200050 Peoples R China Chinese Acad Sci Shanghai Engn Ctr Microsatellites Shanghai 201210 Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China Shanghai Spaceok Technol Co Ltd Shanghai 201802 Peoples R China

In this letter, we use squared iterative method with parameter checking to accelerate the convergence rate of expectation/conditional maximization (ECM) algorithm when estimating the channel parameters blindly in flat fading nonGaussian channels, and further, we proposed automatic modulation classification (AMC) in flat fading non-Gaussian channels based on the proposed maximum likelihood estimator. The numerical results show that the proposed method can accelerate the convergence rate of ECM algorithm, and AMC based on the proposed method is faster than that based on ECM, while the accuracy of the former shows nearly no loss compared with that of the latter.

关键词： Maximum likelihood estimation expectation/conditional maximization algorithm squared iterative method Gaussian mixture model automatic modulation classification

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Development of the CEPC booster prototype dipole magnets

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INTERNATIONAL JOURNAL OF MODERN PHYSICS A 2021年第22期36卷

作者： Kang, Wen chen, Yuan Zhou, Jianxin Yang, Mei Dai, xuwen Mu, Zhihui Guo, Runbing Chinese Acad Sci Inst High Energy Phys 19B Yuquan Rd Beijing 100049 Peoples R China

The CEPC booster will accelerate the e(-)e(+) beam from 10 GeV to 120 GeV, so the field of the dipole magnets will change with the beam energy, of which the minimal working field is 29 Gs whereas the maximal field is 338 Gs. To reach the requirement of high precision at lower field level, three kinds of new dipole magnets are proposed and studied. To test and verify the designs of the magnets, two subscale prototype magnets are fabricated.

关键词： CEPC dipole magnet high precision low field field errors reproducibility

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Purines enrich root-associated Pseudomonas and improve wild soybean growth under salt stress

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NATURE COMMUNICATIONS 2024年第1期15卷 3520页

作者： Zheng, Yanfen Cao, xuwen Zhou, Yanan Ma, Siqi Wang, Youqiang Li, Zhe Zhao, Donglin Yang, Yanzhe Zhang, Han Meng, chen Xie, Zhihong Sui, Xiaona Xu, Kangwen Li, Yiqiang Zhang, cheng-Sheng Chinese Acad Agr Sci Tobacco Res Inst Marine Agr Res Ctr Qingdao 266101 Peoples R China Shandong Univ Inst Marine Sci & Technol Qingdao 266200 Peoples R China Shandong Agr Univ Coll Resources & Environm Natl Engn Lab Efficient Utilizat Soil & Fertilizer Tai An 271018 Peoples R China

The root-associated microbiota plays an important role in the response to environmental stress. However, the underlying mechanisms controlling the interaction between salt-stressed plants and microbiota are poorly understood. Here, by focusing on a salt-tolerant plant wild soybean (Glycine soja), we demonstrate that highly conserved microbes dominated by Pseudomonas are enriched in the root and rhizosphere microbiota of salt-stressed plant. Two corresponding Pseudomonas isolates are confirmed to enhance the salt tolerance of wild soybean. Shotgun metagenomic and metatranscriptomic sequencing reveal that motility-associated genes, mainly chemotaxis and flagellar assembly, are significantly enriched and expressed in salt-treated samples. We further find that roots of salt stressed plants secreted purines, especially xanthine, which induce motility of the Pseudomonas isolates. Moreover, exogenous application for xanthine to non-stressed plants results in Pseudomonas enrichment, reproducing the microbiota shift in salt-stressed root. Finally, Pseudomonas mutant analysis shows that the motility related gene cheW is required for chemotaxis toward xanthine and for enhancing plant salt tolerance. Our study proposes that wild soybean recruits beneficial Pseudomonas species by exudating key metabolites (i.e., purine) against salt stress.

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