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Type I interferon pathway in pediatric systemic lupus erythematosus

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World Journal of Pediatrics 2024年第7期20卷 653-668页

作者： Yu Zhou Hong‑Mei song Department of Pediatrics Peking Union Medical College HospitalChinese Academy of Medical SciencesBeijingChina State Key Laboratory of Complex Severe and Rare Diseases Peking Union Medical College HospitalBeijingChina

Background The role of type I interferon(IFN-I)signaling in systemic lupus erythematosus(SLE)has been well ***,unanswered questions remain regarding the applicability of these findings to pediatric-onset *** aim of this review is to provide an overview of the novel discoveries on IFN-I signaling in pediatric-onset *** sources A literature search was conducted in the PubMed database using the following keywords:“pediatric systemic lupus erythematosus”and“type I interferon”.Results IFN-I signaling is increased in pediatric SLE,largely due to the presence of plasmacytoid dendritic cells and pathways such as cyclic GMP-AMP synthase–stimulator of interferon genes–TANK-binding kinase 1 and Toll-like receptor(TLR)4/*** extracellular traps and oxidative DNA damage further stimulate IFN-I *** variants in IFN-I-related genes,such as IFN-regulatory factor 5 and tyrosine kinase 2,are linked to SLE susceptibility in pediatric *** addition,type I interferonopathies,characterized by sustained IFN-I activation,can mimic SLE symptoms and are thus important to *** on interferonopathies also contribute to exploring the pathogenesis of *** IFN-I activation is crucial for SLE diagnosis and *** IFNstimulated gene expression and serum IFN-α2 levels are common *** cytometry markers such as CD169 and galectin-9 are promising ***-IFN therapies,such as sifalimumab and anifrolumab,show promise in adult patients with SLE,but their efficacy in pediatric patients requires further *** kinase inhibitors are another treatment option for severe pediatric SLE *** This review presents an overview of the IFN-I pathway in pediatric *** the intricate relationship between IFN-I and pediatric SLE may help to identify potential diagnostic markers and targeted therapies,paving the way for improved patient care and outcomes.

关键词： Interferonopathies Pediatric systemic lupus erythematosus Type I interferon

Constraint Learning-based Optimal Power Dispatch for Active Distribution Networks with Extremely Imbalanced Data

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CSEE Journal of Power and Energy Systems 2024年第1期10卷 51-65页

作者： Yonghua song Ge Chen Hongcai Zhang State Key Laboratory of Internet of Things for Smart City and Department of Electrical and Computer Engineering University of MacaoMacao 999078China School of Electrical and Computer Engineering Purdue UniversityWest LafayetteIN 47907 USA

Transition towards carbon-neutral power systems has necessitated optimization of power dispatch in active distribution networks(ADNs)to facilitate integration of distributed renewable *** to unavailability of network topology and line impedance in many distribution networks,physical model-based methods may not be applicable to their *** tackle this challenge,some studies have proposed constraint learning,which replicates physical models by training a neural network to evaluate feasibility of a decision(i.e.,whether a decision satisfies all critical constraints or not).To ensure accuracy of this trained neural network,training set should contain sufficient feasible and infeasible ***,since ADNs are mostly operated in a normal status,only very few historical samples are ***,the historical dataset is highly imbalanced,which poses a significant obstacle to neural network *** address this issue,we propose an enhanced constraint learning ***,it leverages constraint learning to train a neural network as surrogate of ADN's ***,it introduces Synthetic Minority Oversampling Technique to generate infeasible samples to mitigate imbalance of historical *** incorporating historical and synthetic samples into the training set,we can significantly improve accuracy of neural ***,we establish a trust region to constrain and thereafter enhance reliability of the *** confirm the benefits of the proposed method in achieving desirable optimality and feasibility while maintaining low computational complexity.

关键词： Deep learning demand response distribution networks imbalanced data optimal power flow

When debugging encounters artificial intelligence: state of the art and open challenges

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Science China(Information Sciences) 2024年第4期67卷 42-84页

作者： Yi song Xiaoyuan XIE Baowen XU School of Computer Science Wuhan University State Key Laboratory of Novel Software Technology Nanjing University

Both software debugging and artificial intelligence techniques are hot topics in the current field of software engineering. Debugging techniques, which comprise fault localization and program repair, are an important part of the software development lifecycle for ensuring the quality of software systems. As the scale and complexity of software systems grow, developers intend to improve the effectiveness and efficiency of software debugging via artificial intelligence(artificial intelligence for software debugging, AI4SD). On the other hand, many artificial intelligence models are being integrated into safety-critical areas such as autonomous driving, image recognition, and audio processing, where software debugging is highly necessary and urgent(software debugging for artificial intelligence, SD4AI). An AI-enhanced debugging technique could assist in debugging AI systems more effectively, and a more robust and reliable AI approach could further guarantee and support debugging techniques. Therefore, it is important to take AI4SD and SD4AI into consideration comprehensively. In this paper, we want to show readers the path, the trend, and the potential that these two directions interact with each other. We select and review a total of 165 papers in AI4SD and SD4AI for answering three research questions, and further analyze opportunities and challenges as well as suggest future directions of this cross-cutting area.

关键词： software debugging fault localization program repair artificial intelligence machine learning

伞形科鸭儿芹属植物营养成分及矿质元素含量分析

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植物资源与环境学报 2014年第3期23卷 114-116页

作者：吴宝成刘启新周伟宋春凤江苏省.中国科学院植物研究所(南京中山植物园) 江苏南京210014

鸭儿芹属（Cryptotaenia DC.）隶属于伞形科（Apiaceae），全世界有5或6种，均为草本植物，其中部分种类可供食用。鸭儿芹（C. japonica Hassk.）自然分布于中国[1]，别名三叶芹、鸭脚板、鸭掌菜或野芹菜，具有一定的药用价值和保健功... 详细信息

鸭儿芹属（Cryptotaenia DC.）隶属于伞形科（Apiaceae），全世界有5或6种，均为草本植物，其中部分种类可供食用。鸭儿芹（C. japonica Hassk.）自然分布于中国[1]，别名三叶芹、鸭脚板、鸭掌菜或野芹菜，具有一定的药用价值和保健功能，也是一种营养丰富的蔬菜，在中国广东（佛山）、湖南、湖北、贵州和江苏等地均有一定种植面积，也是日本设施农业栽培面积最大的蔬菜种类。目前有关鸭儿芹的研究主要集中在种子产量、栽培措施及病虫害防治等方面。

关键词：伞形科鸭儿芹属营养成分矿质元素蔬菜

Approximately Bi-Similar Symbolic Model for Discretetime Interconnected Switched System

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IEEE/CAA Journal of Automatica Sinica 2024年第10期11卷 2185-2187页

作者： Yang song Yongzhuang Liu Wanqing Zhao School of Mechatronic Engineering and Automation Shanghai UniversityShanghai 200444China School of Computing Newcastle UniversityNewcastle upon Tyne NE45TGUK

Dear Editor,This letter concerns the development of approximately bi-similar symbolic models for a discrete-time interconnected switched system(DT-ISS).The DT-ISS under consideration is formed by connecting multiple switched systems known as component switched systems(CSSs).Although the problem of constructing approximately bi-similar symbolic models for DT-ISS has been addressed in some literature,the previous works have relied on the assumption that all the subsystems of CSSs are incrementally input-state stable.

关键词： approximate symbolic connected

Multiscale feature learning and attention mechanism for infrared and visible image fusion

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Science China(Technological Sciences) 2024年第2期67卷 408-422页

作者： GAO Li LUO DeLin WANG song School of Aerospace Engineering Xiamen UniversityXiamen 361102China Electric Power Research Institute China Southern Power GridGuangzhou 510063China

Current fusion methods for infrared and visible images tend to extract features at a single scale,which results in insufficient detail and incomplete feature *** address these issues,we propose an infrared and visible image fusion network based on a multiscale feature learning and attention mechanism(MsAFusion).A multiscale dilation convolution framework is employed to capture image features across various scales and broaden the perceptual ***,an attention network is introduced to enhance the focus on salient targets in infrared images and detailed textures in visible *** compensate for information loss during convolution,jump connections are utilized during the image reconstruction *** fusion process utilizes a combined loss function consisting of pixel loss and gradient loss for unsupervised fusion of infrared and visible *** experiments on the dataset of electricity facilities demonstrate that our proposed method outperforms nine state-of-theart methods in terms of visual perception and four objective evaluation metrics.

关键词： infrared and visible images image fusion attention mechanism CNN feature extraction

A Least-squares-based Iterative Method with Better Convergence for PF/OPF in Integrated Transmission and Distribution Networks

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CSEE Journal of Power and Energy Systems 2024年第3期10卷 953-962页

作者： Kunjie Tang Shufeng Dong Yonghua song College of Electrical Engineering Zhejiang UniversityHangzhou 310027China State Key Laboratory of Internet of Things for Smart City and Department of Electrical and Computer Engineering University of MacaoMacao SARChina IEEE

The limitations of the conventional master-slavesplitting(MSS)method,which is commonly applied to power flow and optimal power flow in integrated transmission and distribution(I-T&D)networks,are first *** that the MSS method suffers from a slow convergence rate or even divergence under some circumstances,a least-squares-based iterative(LSI)method is *** with the MSS method,the LSI method modifies the iterative variables in each iteration by solving a least-squares problem with the information in previous iterations.A practical implementation and a parameter tuning strategy for the LSI method are ***,a LSI-PF method is proposed to solve I-T&D power flow and a LSIheterogeneous decomposition(LSI-HGD)method is proposed to solve optimal power *** experiments demonstrate that the proposed LSI-PF and LSI-HGD methods can achieve the same accuracy as the benchmark ***,these LSI methods,with appropriate settings,significantly enhance the convergence and efficiency of conventional ***,in some cases,where conventional methods diverge,these LSI methods can still converge.

关键词： Fixed-point theory integrated transmission and distribution networks least-squares-based iterative method master-slave-splitting method optimal power flow power flow

Adaptive Consensus of Uncertain Multi-Agent Systems With Unified Prescribed Performance

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IEEE/CAA Journal of Automatica Sinica 2024年第5期11卷 1310-1312页

作者： Kun Li Kai Zhao Yongduan song The authors are with the School of Automation Chongqing UniversityChongqing 400044China

Dear Editor,An adaptive consensus control algorithm for uncertain multi-agent systems(MAS),capable of guaranteeing unified prescribed performance,is presented in this *** many existing prescribed performance related works,the developed control exhibits some ***,a distributed prescribed time observer is introduced so that not only each follower is able to estimate the leader’s signal within a predetermined time,but also the control design for each agent is independent with its neighbors.

关键词： agent prescribed Uncertain

滨海前胡(伞形科)的后选模式指定及其花色释疑

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植物资源与环境学报 2022年第5期31卷 92-94页

作者：周伟吴宝成李慧敏宋春凤江苏省中国科学院植物研究所(南京中山植物园)江苏省植物资源研究与利用重点实验室江苏南京210014

1784年Thunberg描述并发表滨海前胡(Peucedanum japonicum Thunb.),但未明确指定模式标本。通过标本检查以及原始文献分析,依据最新的《国际藻类、菌物和植物命名法规》(深圳法规)中规则9.1和9.4,为其指定了后选模式。通过野外调查及比... 详细信息

1784年Thunberg描述并发表滨海前胡(Peucedanum japonicum Thunb.),但未明确指定模式标本。通过标本检查以及原始文献分析,依据最新的《国际藻类、菌物和植物命名法规》(深圳法规)中规则9.1和9.4,为其指定了后选模式。通过野外调查及比较《中国植物志》、《Flora of China》和《Flora of Taiwan》等文献,进一步确认滨海前胡的花色为白色。

关键词：滨海前胡伞形科后选模式花色