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Chinese Journal of Natural Medicines 2024年第5期22卷 385-386页

作者： CHEN Qian fan Xiaohui Pharmaceutical Informatics Institute College of Pharmaceutical SciencesZhejiang UniversityHangzhou 310058China National Key Laboratory of Chinese Medicine Modernization Innovation Center of Yangtze River DeltaZhejiang UniversityJiaxing 314100China

With the awarding of the 2015 Nobel Prize in Physiology or Medicine to Chinese pharmacologist Tu Youyou,and the significant contributions of traditional Chinese medicine(TCM)for coronavirus disease 2019(COVID-19),TCM has garnered increasing attention and interest *** advanced research progress has been made in the efficacy research,mechanism elucidation and target prediction of TCM in recent years[1].

关键词： Protein interactome Traditional Chinese medicine Therapeutic effectiveness

Electrocatalytic CO2 reduction to syngas

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Green Energy & Environment 2024年第7期9卷 1085-1100页

作者： Bing Chang Zhaojun Min Ning Liu Nan Wang Maohong fan Jing fan Jianji Wang School of Environment Key Laboratory of Yellow River and Huai River Water Environment and Pollution Control Ministry of Education Henan Normal University School of Chemistry and Chemical Engineering Key Laboratory of Green Chemical Media and Reactions Ministry of Education Henan Normal University College of Engineering and Physical Sciences and School of Energy Resources University of Wyoming College of Engineering Georgia Institute of Technology

While carbon dioxide （CO2） is a major greenhouse gas,it is also an important C1 *** the trend of energy conservation and emission reduction,electrocatalytic reduction has become a very promising strategy for CO2utilization because it can convert CO2directly to high-valued chemicals and fuels under mild *** particular,the product CO and by-product H2can be combined into syngas by an electrocatalytic CO2reduction reaction （CO2RR） in an aqueous *** molar ratios of CO and H2may be used to produce essential bulk chemicals or liquid fuels such as methanol,alkanes,and olefins through thermochemical catalysis,Fischer–Tropsch synthesis,microbial fermentation,and other *** work discusses the latest strategies in controlling the molar ratio of CO/H2and improving the yield of *** challenges of electrocatalytic syngas production are analyzed from an industrial application perspective,and the possible measures to overcome them are proposed in terms of new catalyst design,electrolyte innovation,flow reactor optimization,anodic reaction coupling,and operando technique application.

关键词： Electrocatalysis CO 2 reduction Syngas Electrolyte Electrolyzer

Gyroscope Dynamic Balance Counterweight Prediction Based on Multi-Head ResGAT Networks

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Computer Modeling in Engineering & Sciences 2024年第6期139卷 2525-2555页

作者： Wuyang fan Shisheng Zhong School of Mechanical Engineering Harbin Institute of TechnologyHarbin150000China

The dynamic balance assessment during the assembly of the coordinator gyroscope significantly impacts the guidance accuracy of precision-guided *** dynamic balance debugging,reliance on rudimentary counterweight empirical formulas persists,resulting in suboptimal debugging accuracy and an increased repetition *** mitigate this challenge,we present a multi-head residual graph attention network(ResGAT)model,designed to predict dynamic balance counterweights with high *** this research,we employ graph neural networks for interaction feature extraction from assembly graph *** SDAE-GPC model is designed for the assembly condition classification to derive graph data inputs for the ResGAT regression model,which is capable of predicting gyroscope counterweights under small-sample *** results of our experiments demonstrate the effectiveness of the proposed approach in predicting dynamic gyroscope counterweight in its assembly *** approach surpasses current methods in mitigating repetition rates and enhancing the assembly efficiency of gyroscopes.

关键词： Gyroscope counterweight assembly small-sample ResGAT repetition rate

Evolutionary genomics of climatic adaptation and resilience to climate change in alfalfa

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Molecular Plant 2024年第6期17卷 867-883页

作者： fan Zhang Ruicai Long Zhiyao Ma Hua Xiao Xiaodong Xu Zhongjie Liu Chunxue Wei Yiwen Wang Yanling Peng Xuanwen Yang Xiaoya Shi Shuo Cao Mingna Li Ming Xu Fei He Xueqian Jiang Tiejun Zhang Zhen Wang Xianran Li Long-Xi Yu Junmei kang Zhiwu Zhang Yongfeng Zhou Qingchuan Yang Institute of Animal Science Chinese Academy of Agricultural SciencesBeijing 100193China National Key Laboratory of Tropical Crop Breeding Shenzhen BranchGuangdong Laboratory of Lingnan Modern AgricultureKey Laboratory of Synthetic BiologyMinistry of Agriculture and Rural AffairsAgricultural Genomics Institute at ShenzhenChinese Academy of Agricultural SciencesShenzhen 518000China School of Grassland Science Beijing Forestry UniversityBeijing 100083China Department of Agronomy and Horticulture University of Nebraska-LincolnLincolnNE 68583USA Department of Crop and Soil Sciences Washington State UniversityPullmanWA 99163USA U.S.Department of Agriculture-Agricultural Research Service Plant Germplasm Introduction and Testing ResearchProsserWA 99350USA National Key Laboratory of Tropical Crop Breeding Tropical Crops Genetic Resources InstituteChinese Academy of Tropical Agricultural SciencesHaikou 571101China

Given the escalating impact of climate change on agriculture and food security,gaining insights into the evolutionary dynamics of climatic adaptation and uncovering climate-adapted variation can empower the breeding of climate-resilient crops to face future climate ***(Medicago sativa ***),the queen of forages,shows remarkable adaptability across diverse global environments,making it an excellent model for investigating species responses to climate *** this study,we performed population genomic analyses using genome resequencing data from 702 accessions of 24 Medicago species to unravel alfalfa’s climatic adaptation and genetic susceptibility to future climate *** found that interspecific genetic exchange has contributed to the gene pool of alfalfa,particularly enriching defense and stress-response *** introgression between *** ***(***)and alfalfa not only aids alfalfa’s climatic adaptation but also introduces genetic burden.A total of 1671 genes were associated with climatic adaptation,and 5.7%of them were introgressions from *** integrating climate-associated variants and climate data,we identified populations that are vulnerable to future climate change,particularly in higher latitudes of the Northern *** findings serve as a clarion call for targeted conservation initiatives and breeding *** also identified preadaptive populations that demonstrate heightened resilience to climate fluctuations,illuminating a pathway for future breeding ***,this study enhances our understanding about the local adaptation mechanisms of alfalfa and facilitates the breeding of climate-resilient alfalfa cultivars,contributing to effective agricultural strategies for facing future climate change.

关键词： Medicago local adaptation population genetics adaptive introgression genetic vulnerability alfalfa breeding

Cross-Modal Consistency with Aesthetic Similarity for Multimodal False Information Detection

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Computers, Materials & Continua 2024年第5期79卷 2723-2741页

作者： Weijian fan Ziwei Shi State Key Laboratory of Media Convergence and Communication Communication University of ChinaBeijing100024China Software Research Institute China United Network Communication Group Co.Ltd.Beijing100024China

With the explosive growth of false information on social media platforms, the automatic detection of multimodalfalse information has received increasing attention. Recent research has significantly contributed to multimodalinformation exchange and fusion, with many methods attempting to integrate unimodal features to generatemultimodal news representations. However, they still need to fully explore the hierarchical and complex semanticcorrelations between different modal contents, severely limiting their performance detecting multimodal falseinformation. This work proposes a two-stage detection framework for multimodal false information detection,called ASMFD, which is based on image aesthetic similarity to segment and explores the consistency andinconsistency features of images and texts. Specifically, we first use the Contrastive Language-Image Pre-training(CLIP) model to learn the relationship between text and images through label awareness and train an imageaesthetic attribute scorer using an aesthetic attribute dataset. Then, we calculate the aesthetic similarity betweenthe image and related images and use this similarity as a threshold to divide the multimodal correlation matrixinto consistency and inconsistencymatrices. Finally, the fusionmodule is designed to identify essential features fordetectingmultimodal false information. In extensive experiments on four datasets, the performance of the ASMFDis superior to state-of-the-art baseline methods.

关键词： Social media false information detection image aesthetic assessment cross-modal consistency

CMMCAN:Lightweight Feature Extraction and Matching Network for Endoscopic Images Based on Adaptive Attention

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Computers, Materials & Continua 2024年第8期80卷 2761-2783页

作者： Nannan Chong fan Yang School of Electronic and Information Engineering Hebei University of TechnologyTianjin300401China School of Information and Intelligence Engineering Tianjin Renai CollegeTianjin301636China

In minimally invasive surgery,endoscopes or laparoscopes equipped with miniature cameras and tools are used to enter the human body for therapeutic purposes through small incisions or natural ***,in clinical operating environments,endoscopic images often suffer from challenges such as low texture,uneven illumination,and non-rigid structures,which affect feature observation and *** can severely impact surgical navigation or clinical diagnosis due to missing feature points in endoscopic images,leading to treatment and postoperative recovery issues for *** address these challenges,this paper introduces,for the first time,a Cross-Channel Multi-Modal Adaptive Spatial Feature Fusion(ASFF)module based on the lightweight architecture of ***,a novel lightweight feature extraction and matching network based on attention mechanism is *** network dynamically adjusts attention weights for cross-modal information from grayscale images and optical flow images through a dual-branch Siamese *** extracts static and dynamic information features ranging from low-level to high-level,and from local to global,ensuring robust feature extraction across different widths,noise levels,and blur *** and local matching are performed through a multi-level cascaded attention mechanism,with cross-channel attention introduced to simultaneously extract low-level and high-level *** ablation experiments and comparative studies are conducted on the HyperKvasir,EAD,M2caiSeg,CVC-ClinicDB,and UCL synthetic *** results demonstrate that the proposed network improves upon the baseline EfficientViT-B3 model by 75.4%in accuracy(Acc),while also enhancing runtime performance and storage *** compared with the complex DenseDescriptor feature extraction network,the difference in Acc is less than 7.22%,and IoU calculation results on specific datasets outperform complex dense ***

关键词： Feature extraction and matching lightweighted network medical images endoscopic attention

Center of the Yangian double in type A

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Science China Mathematics 2024年第9期67卷 1957-1988页

作者： fan Yang Naihuan Jing Department of Mathematics Jiaying UniversityMeizhou 514000China Department of Mathematics North Carolina State UniversityRaleighNC 27695USA

We prove that the R-matrix and Drinfeld presentations of the Yangian double in type A are *** central elements of the completed Yangian double in type A at the critical level are *** images of these elements under a Harish-Chandra-type homomorphism are calculated by applying a version of the Poincaré-Birkhoff-Witt theorem for the R-matrix *** images coincide with the eigenvalues of the central elements in the Wakimoto modules.

关键词： Yangian double Harish-Chandra homomorphism Wakimoto module

MetaOracle:A High-Throughput Decentralized Oracle for Web 3.0-Empowered Metaverse

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ZTE Communications 2024年第2期22卷 11-18页

作者： CHEN Rui LI Hui LI Wuyang BAI He WANG Han WU Naixing fan Ping kang Jian Selwyn DENG ZHU Xiang School of Electronic and Computer Engineering Peking UniversityShenzhen 518055China China United Network Communications Co. Ltd.Shenzhen BranchShenzhen 518031China

Recent rapid advancements in communication technology have brought forth the era of Web 3.0,representing a substantial transformation in the Internet *** shift has led to the emergence of various decentralized metaverse applications that leverage blockchain as their underlying technology to enable users to exchange value directly from point to ***,blockchains are blind to the real world,and smart contracts cannot directly access data from the external *** address this limitation,the technology of oracles has been introduced to provide real-world data for smart contracts and other blockchain *** this paper,we focus on mitigating the risks associated with oracles providing corrupt or incorrect *** propose a novel Web 3.0 architecture for the Metaverse based on the multiidentifier network(MIN),and its decentralized blockchain oracle model called Meta *** experimental results show that the proposed scheme can achieve minor time investment in return for significantly more reliable data and increased throughput.

关键词： Web 3.0 metaverse blockchain smart contract oracle

Recent Progress on Water-based Liquid Embolic Agents in Endovascular Treatment

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CHEMICAL RESEARCH IN CHINESE UNIVERSITIES 2024年第5期40卷 776-785页

作者： Qi, Yi fan, Hailong Hokkaido Univ Dept Hematol Fac Med Sapporo 0608638 Japan Hokkaido Univ Grad Sch Med Sapporo 0608638 Japan Hokkaido Univ Inst Chem React Design & Discovery WPI ICReDD Sapporo 0010021 Japan

Vascular embolization treatment, a minimally invasive surgery for various blood vessel-related conditions, has emerged as a crucial method in treating such as hemorrhage, arteriovenous malformation, aneurysms, and hypervascular tumors. Liquid embolic agents are gaining prominence due to their distinct advantage in infiltrating distal regions, expanding the scope of embolization beyond the reach of solid agents. Recent strides in biomaterials and technologies have spurred the development of novel liquid embolic agents, addressing challenges posed by traditional options. This mini-review provides a concise overview of the recent progress in water-based liquid embolic agents, highlighting their potential to overcome limitations associated with current embolic materials. By presenting selected research outcomes, we illuminate advancements that enhance the efficacy of liquid embolic agents. Furthermore, the review outlines essential properties for effective liquid embolic agents, offering insights for future developments in this field.

关键词： Endovascular treatment Lquid embolic agent Hydrogel TRANSCATHETER ARTERIAL EMBOLIZATION BENIGN PROSTATIC HYPERPLASIA ELASTINLIKE PROTEIN POLYMER HEPATOCELLULAR-CARCINOMA POTENTIAL APPLICATION METHYLACRYLATE) NANOGEL VASCULAR OCCLUSION IN-VIVO PH HYDROGELS

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预切缝位置及深度对SBM滚刀破岩的影响

煤炭学报 2024年第1期49卷 415-425页

作者：杨仁树康一强杨立云刘康丁晨曦樊谨豪中国矿业大学(北京)力学与土木工程学院北京100083 北京科技大学土木与资源工程学院北京100083

利用水射流对岩体进行预切缝是提高竖井全断面掘进机破岩效率、实现深部资源机械化开发的关键技术。针对预切缝位置及深度合理参数选取的难题,首先指出了锥面刀盘带动下滚刀破岩的工况特征,进而基于Cohesive单元方法,建立了预切缝条件... 详细信息

利用水射流对岩体进行预切缝是提高竖井全断面掘进机破岩效率、实现深部资源机械化开发的关键技术。针对预切缝位置及深度合理参数选取的难题,首先指出了锥面刀盘带动下滚刀破岩的工况特征,进而基于Cohesive单元方法,建立了预切缝条件下的滚刀破岩离散-连续耦合数值模型。以完整岩体为对照组,对比分析了不同预切缝距离和深度对滚刀破岩的受力特征和岩石破碎特征的影响规律。阐述了预切缝条件下,滚刀破岩时密实核形成、块状岩渣形成、Hertz裂纹扩展3个阶段性特征,指出了岩体的非对称破碎特性和不同区域岩渣的形成机制。最终从滚刀受力、破岩面积、破岩比能耗、岩渣破碎程度4个方面综合分析,确定了预切缝的最佳距离和深度取值范围。研究结果表明:预切缝可以显著减小竖井全断面掘进机滚刀破岩过程中的贯入力和侧向力。与完整岩体相比,贯入力峰值降低了44.0%~10.3%。侧向力峰值降低了35.2%~6.5%。预切缝间距及深度较小时,会限制滚刀破岩范围,同时使得破碎岩体块度更小,导致破岩比能耗增高。随着预切缝深度的增大,破岩体积先增大后趋于稳定,比能耗先减小后保持不变。最终,确定了切缝距离为70~90 mm,深度为60~80 mm时破岩效果最佳,破岩体积较无切缝时提高约1倍,破岩比能耗降低69.2%。研究结果为刀盘辅助破岩装备的设计及参数确定提供了参考。

关键词：预切缝滚刀破岩分形维数竖井全断面掘进机