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Engineering 2024年第2期33卷 108-120页

作者： Kang Yuan Yanjun Huang Shuo Yang zewei zhou Yulei Wang Dongpu Cao Hong Chen College of Electronic and Information Engineering Tongji UniversityShanghai 201804China Shanghai Institute of Intelligent Science and Technology Tongji UniversityShanghai 201210China School of Automotive Studies Tongji UniversityShanghai 201804China School of Vehicle and Mobility Tsinghua UniversityBeijing 100084China

Decision-making and motion planning are extremely important in autonomous driving to ensure safe driving in a real-world environment.This study proposes an online evolutionary decision-making and motion planning framework for autonomous driving based on a hybrid data-and model-driven method.First,a data-driven decision-making module based on deep reinforcement learning(DRL)is developed to pursue a rational driving performance as much as possible.Then,model predictive control(MPC)is employed to execute both longitudinal and lateral motion planning tasks.Multiple constraints are defined according to the vehicle’s physical limit to meet the driving task requirements.Finally,two principles of safety and rationality for the self-evolution of autonomous driving are proposed.A motion envelope is established and embedded into a rational exploration and exploitation scheme,which filters out unreasonable experiences by masking unsafe actions so as to collect high-quality training data for the DRL agent.Experiments with a high-fidelity vehicle model and MATLAB/Simulink co-simulation environment are conducted,and the results show that the proposed online-evolution framework is able to generate safer,more rational,and more efficient driving action in a real-world environment.

关键词： Autonomous driving Decision-making Motion planning Deep reinforcement learning Model predictive control

Notoginsenoside Ft1 inhibits colorectal cancer growth by increasing CD8^(+)T cell proportion in tumor-bearing mice through the USP9X signaling pathway

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Chinese Journal of Natural Medicines 2024年第4期22卷 329-340页

作者： FENG Yutao LI Yuan MA Fen WU Enjiang CHENG zewei zhou Shiling WANG Zhengtao YANG Li SUN Xun ZHANG Jiwei Shanghai Key Laboratory of Compound Chinese Medicines The MOE Key Laboratory for Standardization of Chinese MedicinesInstitute of Chinese Materia MedicaShanghai University of Traditional Chinese MedicineShanghai 201203China Gastrointestinal surgery Longhua HospitalShanghai University of Traditional Chinese MedicineShanghai 200032China

The management of colorectal cancer(CRC)poses a significant challenge,necessitating the development of innovative and effective therapeutics.Our research has shown that notoginsenoside Ft1(Ng-Ft1),a small molecule,markedly inhibits subcutaneous tumor formation in CRC and enhances the proportion of CD8^(+)T cells in tumor-bearing mice,thus restraining tumor growth.Investigation into the mechanism revealed that Ng-Ft1 selectively targets the deubiquitination enzyme USP9X,undermining its role in shieldingβ-catenin.This leads to a reduction in the expression of downstream effectors in the Wnt signaling pathway.These findings indicate that Ng-Ft1 could be a promising small-molecule treatment for CRC,working by blocking tumor progression via the Wnt signaling pathway and augmenting CD8^(+)T cell prevalence within the tumor environment.

关键词： Notoginsenoside Ft1 Colorectal cancer CD8^(+)T cell Ubiquitin-specific peptidase 9 X-linked β-Catenin Wnt

Robust Distributed Model Predictive Control for Formation Tracking of Nonholonomic Vehicles

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IEEE/CAA Journal of Automatica Sinica 2024年第2期11卷 560-562页

作者： Zhigang Luo Bing Zhu Jianying Zheng zewei Zheng School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191China

Dear Editor,This letter proposes a robust distributed model predictive control(MPC) strategy for formation tracking of a group of wheeled vehicles subject to constraints and disturbances. Formation control has attract... 详细信息

关键词： letter constraints searching

Recent advancements in the diagnosis and treatment of acral melanoma

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Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2024年第2期25卷 106-122页

作者： Ahmad ALHASKAWI Sohaib Hasan Abdullah EZZI Yanzhao DONG Haiying zhou zewei WANG Jingtian LAI Chengjun YAO Vishnu Goutham KOTA Mohamed Hasan Abdulla Hasan ABDULLA Hui LU Department of Orthopedics the First Affiliated HospitalSchool of MedicineZhejiang UniversityHangzhou310003China Department of Orthopaedics Third Xiangya HospitalCentral South UniversityChangsha410013China Zhejiang University School of Medicine Hangzhou310058China Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare Zhejiang UniversityHangzhou310058China

Acral melanoma(AM)is the most common histologic subtype of melanoma in dark-skinned patients and is associated with a worse prognosis and a high mortality rate,largely due to the inconspicuous nature of early-stage lesions,which can lead to late diagnosis.Because of the overlapping clinical and histopathological features of AM with other forms of cutaneous melanomas,early detection of AM requires a multidisciplinary approach that integrates various diagnostic modalities,including clinical examination,dermoscopy,histopathology,molecular testing,radiological imaging,and blood tests.While surgery is the preferred method of treatment for AM,other therapeutic options may be employed based on the stage and underlying etiology of the disease.Immune checkpoint inhibitors,molecular targeted therapy,radiotherapy,chemotherapy,and oncolytic virotherapy represent promising advanced treatment options for AM.In this review,we provide an overview of the latest advancements in diagnostic and therapeutic methods for AM,highlighting the importance of early detection and the prompt,individualized management of this challenging disease.

关键词： Acral melanoma Acral lentiginous melanoma Acral nevus Cutaneous malignant melanoma Dermoscopy Oncolytic virotherapy

CMKLR1 senses chemerin/resolvin E1 to control adipose thermogenesis and modulate metabolic homeostasis

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Fundamental Research 2024年第3期4卷 575-588页

作者： zewei Zhao Siqi Liu Bingxiu Qian Lin zhou Jianglin Shi Junxi Liu Lin Xu Zhonghan Yang Department of Biochemistry Molecular Cancer Research CenterSchool of MedicineSun Yat-sen UniversityShenzhenGuangdong 518107China Department of Biochemistry Zhongshan School of MedicineSun Yat-sen UniversityGuangzhouGuangdong 510080China School of Public Health Sun Yat-sen UniversityGuangzhouGuangdong 510080China

Induction of beige fat for thermogenesis is a potential therapy to improve homeostasis against obesity.β3-adrenoceptor(β3-AR),a type of G protein-coupled receptor(GPCR),is believed to mediate the thermogenesis of brown fat in mice.However,β3-AR has low expression in human adipose tissue,precluding its activation as a standalone clinical modality.This study aimed at identifying a potential GPCR target to induce beige fat.We found that chemerin chemokine-like receptor 1(CMKLR1),one of the novel GPCRs,mediated the development of beige fat via its two ligands,chemerin and resolvin E1(RvE1).The RvE1 levels were decreased in the obese mice,and RvE1 treatment led to a substantial improvement in obese features and augmented beige fat markers.Inversely,despite sharing the same receptor as RvE1,the chemerin levels were increased in obesogenic conditions,and chemerin treatment led to an augmented obese phenotype and a decline of beige fat markers.Moreover,RvE1 and chemerin induced or restrained the development of beige fat,respectively,via the mechanistic target of rapamycin complex 1(mTORC1)signaling pathway.We further showed that RvE1 and chemerin regulated mTORC1 signaling differentially by forming hydrogen bonds with different binding sites of CMKLR1.In conclusion,our study showed that RvE1 and chemerin affected metabolic homeostasis differentially,suggesting that selectively modulating CMKLR1 may be a potential therapeutic target for restoring metabolic homeostasis.

关键词： Obesity Insulin resistance Thermogenesis CMKLR1 Resolvin E1 Chemerin

Steering surface reconstruction of hybrid metal oxides for efficient oxygen evolution reaction in water splitting and zinc-air batteries

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Journal of Energy Chemistry 2024年第5期92卷 383-393页

作者： Jie Zhu Junxue Chen Xida Li Kun Luo zewei Xiong Zhiyu zhou Wenyun Zhu Zhihong Luo Jingbin Huang Yibing Li Key Lab of New Processing Technology for Nonferrous Metals and Materials Ministry of EducationSchool of Materials Science and EngineeringGuilin University of TechnologyGuilin 541000GuangxiChina The Key Laboratory of Rare Earth Functional Materials and Applications Zhoukou Normal UniversityZhoukou 466001HenanChina School of Chemistry and Chemical Engineering Beijing Institute of TechnologyBeijing 100081China School of Materials Science and Engineering Changzhou UniversityChangzhou 213164JiangsuChina Wuhan Sunmoon Battery Co. LtdWuhan 430090HubeiChina

Surface reconstruction yields real active species in electrochemical oxygen evolution reaction(OER)conditions;however,rationally regulating reconstruction in a targeted manner for constructing highly active OER electrocatalysts remains a formidable challenge.Here,an electrochemical activation strategy with selective etching was utilized to guide the reconstruction process of a hybrid cobalt-molybdenum oxide(CoMoO_(4)/Co_(3)O_(4)@CC)in a favorable direction to improve the OER performance.Both in-situ Raman and multiple ex-situ characterization tools demonstrate that controlled surface reconstruction can be easily achieved through Mo etching,with the formation of a dynamically stable amorphous-crystalline heterostructure.Theoretical calculations together with experimental results reveal that the synergistic effects between amorphous CoOOH and crystalline Co_(3)O_(4) are crucial in enhancing the catalytic performance.Consequently,the reconstructed CoMoO_(4)/Co_(3)O_(4)@CC exhibits a low overpotential of 250 mV to achieve a current density of 10 mA cm^(-2) in 1 M KOH,and more importantly it can be practiced in electrolytic water splitting and rechargeable zinc-air batteries devices,achieving ultra-long stability for over 500 and 1200 h,respectively.This work provides a promising route for the construction of high-performance electrocatalysts.

关键词： Electrocatalyst Oxygen evolution reaction Surface reconstruction Selective etching Amorphous-crystalline heterostructures

Sparse representation scheme with enhanced medium pixel intensity for face recognition

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CAAI Transactions on Intelligence Technology 2024年第1期9卷 116-127页

作者： Xuexue Zhang Yongjun Zhang zewei Wang Wei Long Weihao Gao Bob Zhang State Key Laboratory of Public Big Data Institute for Artificial IntelligenceCollege of Computer Science and TechnologyGuizhou UniversityGuiyangGuizhouChina Department of Computer and Information Science University of MacaoAvenida da UniversidadeTaipaMacaoChina

Sparse representation is an effective data classification algorithm that depends on the known training samples to categorise the test sample.It has been widely used in various image classification tasks.Sparseness in sparse representation means that only a few of instances selected from all training samples can effectively convey the essential class-specific information of the test sample,which is very important for classification.For deformable images such as human faces,pixels at the same location of different images of the same subject usually have different intensities.Therefore,extracting features and correctly classifying such deformable objects is very hard.Moreover,the lighting,attitude and occlusion cause more difficulty.Considering the problems and challenges listed above,a novel image representation and classification algorithm is proposed.First,the authors’algorithm generates virtual samples by a non-linear variation method.This method can effectively extract the low-frequency information of space-domain features of the original image,which is very useful for representing deformable objects.The combination of the original and virtual samples is more beneficial to improve the clas-sification performance and robustness of the algorithm.Thereby,the authors’algorithm calculates the expression coefficients of the original and virtual samples separately using the sparse representation principle and obtains the final score by a designed efficient score fusion scheme.The weighting coefficients in the score fusion scheme are set entirely automatically.Finally,the algorithm classifies the samples based on the final scores.The experimental results show that our method performs better classification than conventional sparse representation algorithms.

关键词： computer vision face recognition image classification image representation

OcBSA:An NGS-based bulk segregant analysis tool for outcross populations

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Molecular Plant 2024年第4期17卷 648-657页

作者： Lingkui Zhang Yanfeng Duan zewei Zhang Lei Zhang Shumin Chen Chengcheng Cai Shaoguang Duan Kang Zhang Guangcun Li Feng Cheng State Key Laboratory of Vegetable Biobreeding Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural AffairsKey Laboratory of Biology and Genetic Improvement of Tuber and Root Crop of Ministry of Agriculture and Rural AffairsSino-Dutch Joint Laboratory of Horticultural GenomicsInstitute of Vegetables and FlowersChinese Academy of Agricultural SciencesBeijing 100081China

Constructing inbred lines for self-incompatible species and species with long generation times is challenging,making the use of F1 outcross/segregating populations the main strategy for genetic studies of such species.However,there is a lack of dedicated algorithms/tools for rapid quantitative trait locus(QTL)mapping using the F1 populations.To this end,we have designed and developed an algorithm/tool called OcBSA specifically for QTL mapping of F1 populations.OcBSA transforms the four-haplotype inheritance problem from the two heterozygous diploid parents of the F1 population into the two-haplotype inheritance problem common in current genetic studies by removing the two haplotypes from the heterozygous parent that do not contribute to phenotype segregation in the F1 population.Testing of OcBSA on 1800 simulated F1 populations demonstrated its advantages over other currently available tools in terms of sensitivity and accuracy.In addition,the broad applicability of OcBSA was validated by QTL mapping using seven reported F1 populations of apple,pear,peach,citrus,grape,tea,and rice.We also used OcBSA to map the QTL for flower color in a newly constructed F1 population of potato generated in this study.The OcBSA mapping result was verified by the insertion or deletion markers to be consistent with a previously reported locus harboring the ANTHOCYANIN 2 gene,which regulates potato flower color.Taken together,these results highlight the power and broad utility of OcBSA for QTL mapping using F1 populations and thus a great potential for functional gene mining in outcrossing species.For ease of use,we have developed both Windows and Linux versions of OcBSA,which are freely available at:https://***/Bioinformaticslab/OcBSA.

关键词： outcross BSA self-incompatible F1 population QTL mapping potato

Matrix-Mediated Color-Tunable Ultralong Organic Room Temperature Phosphorescence of 7H-Benzo[c]carbazole Derivatives

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CCS Chemistry 2024年第3期6卷 798-811页

作者： Chen Qian Xue Zhang Zhimin Ma Xiaohua Fu zewei Li Huiwen Jin Mingxing Chen Hong Jiang Zhiyong Ma Beijing Advanced Innovation Center for Soft Matter Science and Engineering State Key Laboratory of Organic–Inorganic CompositesCollege of Chemical EngineeringBeijing University of Chemical TechnologyBeijing 100029 Beijing National Laboratory for Molecular Sciences College of Chemistry and Molecular EngineeringPeking UniversityBeijing 100871

Building on the recent systematic research on 1Hbenzo[f]indole(Bd),an important advancement in constructing ultralong organic room temperature(UORTP)materials with a universal strategy via a readily obtained unit(7H-Benzo[c]carbazole,BCz)is proposed in this work.Pure powders of BCz and its derivatives merely exhibit blue fluorescence at ambient condition.However,when BCz and its derivatives are dispersed into polymer or powder matrixes,strong photo-activated green UORTP can be observed from their doped systems at room temperature.Moreover,the UORTP color can be tuned between green and yellow depending on the matrix.The ultralong phosphorescence originates from the generation of charge-separated states via radicals.The matrixes play a key role in both stabilizing charge-separated states and controlling UORTP color.More interestingly,when using polymethyl methacrylate as matrix,the doped films achieve stronger photo-activated ultralong phosphorescence underwater than in air at room temperature.Comparedwith Bd,BCz achieves better performance not only in ultralong phosphorescence properties but also in practical applications.This work gains a deeper insight into the mechanism of UORTP and paves a new approach to applying organic phosphorescent materials to underwater coating and imaging.

关键词： 7H-Benzo[c]carbazole ultralong organic room temperature phosphorescence ion radical matrix-mediated color tunning underwater application

非编码RNA编码多肽在原发性肝细胞癌中的研究进展

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中华肝脏病杂志 2024年第1期32卷 91-96页

作者：谌冬梅于洲张泽威黄金兰福建医科大学附属第一医院检验科福州350005 福建省检验医学重点实验室福州350005 福建医科大学基因诊断研究中心福州350005 福建医科大学医学技术与工程学院福州350004

肝细胞癌(HCC)是最常见的恶性肿瘤之一,其进展迅速,预后不良。越来越多的研究表明大量非编码RNA(ncRNA)的分子序列上存在小的开放阅读框(sORFs),这些sORFs可编码保守的多肽,而这些保守多肽在调控HCC的发生、发展中起着重要作用。现介绍n... 详细信息

肝细胞癌(HCC)是最常见的恶性肿瘤之一,其进展迅速,预后不良。越来越多的研究表明大量非编码RNA(ncRNA)的分子序列上存在小的开放阅读框(sORFs),这些sORFs可编码保守的多肽,而这些保守多肽在调控HCC的发生、发展中起着重要作用。现介绍ncRNA编码多肽的发现、预测与验证方法,并对其在HCC中的研究进展进行综述,以期为HCC的早期诊断、靶向治疗以及预后评估等方面提供新的靶点和思路。

关键词：肝细胞癌非编码RNA 开放阅读框多肽