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Genes & Diseases 2024年第1期11卷 76-79页

作者： Bo Jin Yutong Ma Qian Wu Qiuxiang Ou Yang Shao Shun Xu Department of medical Oncology The First Hospital of China Medical UniversityShenyangLiaoning 110001China Geneseeq Research Institute Nanjing Geneseeq Technology Inc.NanjingJiangsu 210000China School of Public Health Nanjing Medical UniversityNanjingJiangsu 211166China Department of Thoracic Surgery The First Hospital of China Medical UniversityShenyangLiaoning110001China

MET gene alterations in lung cancer patients mainly include exon 14 skipping and gene amplification,which are the key therapeutic targets and drive resistance to tyrosine kinase inhibitors(TKls).1 However,the structural variants of MET,such as MET fusions,are much rarer(0.26%),as reported in a Chinese non-small cell lung cancer(NSCLC)cohort.2 Several recurrent MET fusions,such as KIF5B-MET and HLADRB1-MET,were reported as oncogenic drivers and showed favorable responses to crizotinib.

关键词： lung patients alterations

PHOTOTHERAPY OF GINGIVITIS:PILOT CLINICAL STUDY

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Journal of Innovative Optical Health Sciences 2011年第4期4卷 437-446页

作者： ELINA A.GENINA VLADIMIR A.TITORENKO VALERY V.TUCHIN GEORGY V.SIMONENKO ALEXEY N.BASHKATOV GENNADY M.SHUB ALEXANDER V.LEPILIN ILYA V.YAROSLAVSKY GREGORY B.ALTSHULER Saratov State University Saratov410012Russia Saratov State medical University Saratov410012Russia Institute of Precise Mechanics and Control of RAS Saratov 410028Russia palomar medical technology inc.burlington MA 01803USA

The goal of this work was to evaluate the safety and efficacy of the Red Light Emitted Toothbrush(R-LETB)emitting at wavelength of 663 nm with power density of 3.3mW/cm2 in combination with 0.1%-methylene blue(MB)solution for the reduction of plaque and treatment of gingivitis.A microbiological in vitro study and a pilot clinical study were *** microbiological study has shown total suppression of pathogenicflora after a 3-min exposure to the dye solution followed by a 20-sec treatment with the *** the clinical study,37 subjects of both sexes with gingivitis were enrolled and randomly assigned to one of two *** in thefirst(treatment)group were instructed to rinse their mouth with MB solution provided for 1 min and then brush the teeth with the R-LETB and standardized *** second(control)group used only the toothpaste and a regular *** in both groups followed their respective procedures 2 times a day(morning and evening)for 30 *** of plaque,gingival bleeding,and inflammation were evaluated at 14-day and 30-day *** the both groups,all indices improved in comparison with ***,the treatment group demonstrated more pronounced improvement of the studied indices that was attributed to additional anti-microbial action of red light and MB on gum ***,the use of R-LETB with MB appears to have a multifactor therapeutic action on oral pathological microflora:mechanical removal of the bacteria and suppressing action on microorganisms due to photodynamic reaction.

关键词： Tooth brushing methylene blue photodynamic therapy pathogenic bacteria

SAM3D: zero-shot 3D object detection via the segment anything model

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Science China(Information Sciences) 2024年第4期67卷 331-332页

作者： Dingyuan ZHANG Dingkang LIANG Hongcheng YANG Zhikang ZOU Xiaoqing YE Zhe LIU Xiang BAI School of Artificial Intelligence and Automation Huazhong University of Science and Technology Baidu inc. School of Electronic Information and Communication Huazhong University of Science and Technology

In the past few years, foundation models have thrived and succeeded in linguistic and visual tasks, showing astonishing zero-shot and few-shot capabilities. Their advances encourage researchers and industries to extend the boundaries of what artificial intelligence can do and have shown some fantastic products(e.g., ChatGPT [1]) with the potential to change the world.

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Semantic segmentation via pixel-to-center similarity calculation

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CAAI Transactions on Intelligence technology 2024年第1期9卷 87-100页

作者： Dongyue Wu Zilin Guo Aoyan Li Changqian Yu Nong Sang Changxin Gao National Key Laboratory of Science and technology on Multispectral Information Processing School of Artificial Intelligence and AutomationHuazhong University of Science and TechnologyWuhanChina Meituan inc. BeijingChina

Since the fully convolutional network has achieved great success in semantic segmentation,lots of works have been proposed to extract discriminative pixel ***,the authors observe that existing methods still suffer from two typical challenges:(i)The intra-class feature variation between different scenes may be large,leading to the difficulty in maintaining the consistency between same-class pixels from different scenes;(ii)The inter-class feature distinction in the same scene could be small,resulting in the limited performance to distinguish different classes in each *** authors first rethink se-mantic segmentation from a perspective of similarity between pixels and class *** weight vector of the segmentation head represents its corresponding semantic class in the whole dataset,which can be regarded as the embedding of the class ***,the pixel-wise classification amounts to computing similarity in the final feature space between pixels and the class *** this novel view,the authors propose a Class Center Similarity(CCS)layer to address the above-mentioned challenges by generating adaptive class centers conditioned on each scenes and supervising the similarities between class *** CCS layer utilises the Adaptive Class Center Module to generate class centers conditioned on each scene,which adapt the large intra-class variation between different *** designed Class Distance Loss(CD Loss)is introduced to control both inter-class and intra-class distances based on the predicted center-to-center and pixel-to-center ***,the CCS layer outputs the processed pixel-to-center similarity as the segmentation *** experiments demonstrate that our model performs favourably against the state-of-the-art methods.

关键词： computer vision deep neural networks image segmentation scene understanding

A Survey of Multimodal Controllable Diffusion Models

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Journal of Computer Science & technology 2024年第3期39卷 509-541页

作者：江锐郑光聪李藤杨天瑞王井东李玺 College of Computer Science and technology Zhejiang UniversityHangzhou310007China Department of Mathematics Nanjing UniversityNanjing 210023China Baidu Visual technology Department Baidu Inc.Beijing 100085China IEEE

Diffusion models have recently emerged as powerful generative models,producing high-fidelity samples across *** this,they have two key challenges,including improving the time-consuming iterative generation process and controlling and steering the generation *** surveys provide broad overviews of diffusion model ***,they lack comprehensive coverage specifically centered on techniques for controllable *** survey seeks to address this gap by providing a comprehensive and coherent review on controllable generation in diffusion *** provide a detailed taxonomy defining controlled generation for diffusion *** generation is categorized based on the formulation,methodologies,and evaluation *** enumerating the range of methods researchers have developed for enhanced control,we aim to establish controllable diffusion generation as a distinct subfield warranting dedicated *** this survey,we contextualize recent results,provide the dedicated treatment of controllable diffusion model generation,and outline limitations and future *** demonstrate applicability,we highlight controllable diffusion techniques for major computer vision tasks *** consolidating methods and applications for controllable diffusion models,we hope to catalyze further innovations in reliable and scalable controllable generation.

关键词： diffusion model controllable generation application personalization

TextFormer: A Query-based End-to-end Text Spotter with Mixed Supervision

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Machine Intelligence Research 2024年第4期21卷 704-717页

作者： Yukun Zhai Xiaoqiang Zhang Xiameng Qin Sanyuan Zhao Xingping Dong Jianbing Shen School of Computer Science Beijing Institute of TechnologyBeijing 100081China Department of Computer Vision technology Baidu Inc.Beijing 100193China

End-to-end text spotting is a vital computer vision task that aims to integrate scene text detection and recognition into a unified *** methods heavily rely on region-of-interest(Rol)operations to extract local features and complex post-processing steps to produce final *** address these limitations,we propose TextFormer,a query-based end-to-end text spotter with a transformer ***,using query embedding per text instance,TextFormer builds upon an image encoder and a text decoder to learn a joint semantic understanding for multitask *** allows for mutual training and optimization of classification,segmentation and recognition branches,resulting in deeper feature sharing without sacrificing flexibility or ***,we design an adaptive global aggregation(AGG)module to transfer global features into sequential features for reading arbitrarilyshaped texts,which overcomes the suboptimization problem of Rol ***,potential corpus information is utilized from weak annotations to full labels through mixed supervision,further improving text detection and end-to-end text spotting *** experiments on various bilingual(i.e.,English and Chinese)benchmarks demonstrate the superiority of our *** on the TDA-ReCTS dataset,TextFormer surpasses the state-of-the-art method in terms of 1-NED by 13.2%.

关键词： End-to-end text spotting arbitrarily-shaped texts transformer mixed supervision multitask modeling.

Optimal SOC Headroom of Pump Storage Hydropower for Maximizing Joint Revenue from Day-ahead and Real-time Markets Under Regional Transmission Organization Dispatch

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Journal of Modern Power Systems and Clean Energy 2024年第1期12卷 238-250页

作者： Yikui Liu Bing Huang Yang Lin Yonghong Chen Lei Wu Electrical and Computer Engineering Department Stevens Institute of TechnologyHobokenNJ 07030USA Midcontinent Independent System Operator Inc.CarmelIN 46032USA

In response to the increasing penetration of volatile and uncertain renewable energy,the regional transmission organizations(RTOs)have been recently focusing on enhancing the models of pump storage hydropower(PSH)plants,which are one of the key flexibility assets in the day-ahead(DA)and real-time(RT)markets,to further boost their flexibility provision *** by the recent research works that explored the potential benefits of excluding PSHs’cost-related terms from the objective functions of the DA market clearing model,this paper completes a rolling RT market scheme that is compatible with the DA ***,with the vision that PSHs could be permitted to submit state-of-charge(SOC)headrooms in the DA market and to release them in the RT market,this paper uncovers that PSHs could increase the total revenues from the two markets by optimizing their SOC headrooms,assisted by the proposed tri-level optimal SOC headroom ***,in the proposed tri-level model,the middle and lower levels respectively mimic the DA and RT scheduling processes of PSHs,and the upper level determines the optimal headrooms to be submitted to the RTO for maximizing the total revenue from the two *** case studies quantify the profitability of the optimal SOC headroom submissions as well as the associated financial risks.

关键词： Pump storage hydropower energy market state-of-charge(SOC) headroom market revenue tri-level problem

Graph-decomposed k-NN searching algorithm on road network

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Frontiers of Computer Science 2024年第3期18卷 243-245页

作者： Wei JIANG Bo NING Guanyu LI Mei BAI Xiao JIA Fangliang WEI Faculty of Information Science and technology Dalian Maritime UniversityDalian 116026China Jiangxing Intelligence inc. Shenzhen 518100China

1 Introduction The k-NN(k Nearest Neighbors)searching problem on road network constitutes a crucial aspect of location-oriented services,which has boasted the practical implications.

关键词： services searching network

A Review on the Security of the Ethereum-Based DeFi Ecosystem

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Computer Modeling in Engineering & Sciences 2024年第4期139卷 69-101页

作者： Yue Xue Dunqiu Fan Shen Su Jialu Fu Ning Hu Wenmao Liu Zhihong Tian Cyberspace Institute of Advanced technology Guangzhou UniversityGuanzhou510000China Innovation Center NSFOCUS Inc.Beijing100089China Engineering Research Center of Integration and Application of Digital Learning technology Ministry of EducationBeijing100816China

Decentralized finance(DeFi)is a general term for a series of financial products and *** is based on blockchain technology and has attracted people’s attention because of its open,transparent,and intermediary *** them,the DeFi ecosystem based on Ethereum-based blockchains attracts the most ***,the current decentralized financial system built on the Ethereum architecture has been exposed to many smart contract vulnerabilities during the last few ***,we believe it is time to improve the understanding of the prevailing Ethereum-based DeFi ecosystem security *** that end,we investigate the Ethereum-based DeFi security issues:1)inherited from the real-world financial system,which can be solved by macro-control;2)induced by the problems of blockchain architecture,which require a better blockchain platform;3)caused by DeFi invented applications,which should be focused on during the project *** on that,we further discuss the current solutions and potential directions ofDeFi *** to our research,we could provide a comprehensive vision to the research community for the improvement of Ethereum-basedDeFi ecosystem security.

关键词： Blockchain smart contract decentralized finance DeFi security

Investigating the Potential Mechanism of Huazhi Rougan Granules Against Alcoholic Liver Disease by Network Pharmacology and Experiment

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World Journal of Traditional Chinese Medicine 2024年第2期10卷 191-203页

作者： Ying-Ying Tan Ying-Ying Liu Yi-Yan Zhai Yi-Xuan Wang Zhi-Shan Wu Antony Stalin Guo-Liang Cheng Bing Li Chao Wu Zhi-Hong Huang Shan Lu Xiao-Tian Fan Zheng Zhao Jia-Rui Wu Department of Clinical Chinese Pharmacy School of Chinese Materia MedicaBeijing University of Chinese MedicineBeijingChina Department of Bioinformatics Institute of Fundamental and Frontier SciencesUniversity of Electronic Science and Technology of ChinaChengduChina Department of Traditional Chinese Medicine State Key Laboratory of Generic Manufacture Technology of Chinese Traditional MedicineLinyiChina Department of Clinical Medicine Beijing Zest Bridge Medical Technology Inc.BeijingChina

Objective: Huazhi Rougan granules(HRGs) are a promising drug to improve alcoholic liver disease(ALD), but its mechanism remains unclear. Materials and Methods: Network pharmacology, molecular docking, and animal experiments were used to reveal the potential mechanism of HRG against ALD. Results: A total of 245 potential targets of HRG against ALD were obtained. Functional enrichment analysis suggests that HRG could synergistically regulate various biological pathways to exert therapeutic effects on ALD. Molecular docking showed that the key targets exhibited the good binding ability with the key compounds. The in vivo experiments showed that HRG can effectively alleviate pathological changes in liver tissue, improve blood lipid levels, antioxidant stress ability, and liver function, and reduce the release of inflammatory cytokines in the liver. Conclusions: This study reflects that HRG is an effective strategy for treating ALD, providing a basis for revealing the prevention and treatment mechanisms of ALD.

关键词： Alcoholic liver disease Huazhi Rougan granules inflammatory response network pharmacology