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Genes & Diseases 2024年第1期11卷 87-90页

作者： Hongxia Zhang Yueya Zhong yuanming He Yujia Xu Ying Ren Haixia zhuang Tong Sun Zhigang zhu Xinliang Mao Institute of Clinical Pharmacology Science and Technology Innovation CenterGuangzhou University of Chinese MedicineGuangzhouGuangdong 510403China Guangdong Provincial Key Laboratory of Protein Modification and Degradation School of Basic Medical SciencesGuangzhou Medical UniversityGuangzhouGuangdong 511436China Department of Pharmacology College of Pharmaceutical SciencesSoochow UniversitySuzhouJiangsu 215123China Division of Hematology&Oncology Department of GeriatricsGuangzhou First People's HospitalCollege of MedicineSouth China University of TechnologyGuangzhouGuangdong 510180China

Chronic myelogenous leukemia(CML)is a malignancy from bone marrow myeloid stem cells mainly driven by the fusion gene BCR-ABL.In addition to BCR-ABL,other genes including RNF6 are also dysregulated in CML cells.1 RNF6,a ubiquitin ligase of the RING family,promotes various cancer cell proliferation,chemoresistance,and tumor growth in vivo by targeting various proteins for ubiquitination and degradation,including SHP1,TLE3,FOXA1,and MAD1.^(2) However,its specific mechanism in CML is not known.

关键词： ubiquitin myelogenous leukemia

A Local Quadratic Embedding Learning Algorithm and Applications for Soft Sensing

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Engineering 2022年第11期18卷 186-196页

作者： Yaoyao Bao yuanming zhu Feng Qian Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of EducationEast China University of Science and TechnologyShanghai 200237China

Inspired by the tremendous achievements of meta-learning in various fields,this paper proposes the local quadratic embedding learning(LQEL)algorithm for regression problems based on metric learning and neural networks(NNs).First,Mahalanobis metric learning is improved by optimizing the global consistency of the metrics between instances in the input and output space.Then,we further prove that the improved metric learning problem is equivalent to a convex programming problem by relaxing the constraints.Based on the hypothesis of local quadratic interpolation,the algorithm introduces two lightweight NNs;one is used to learn the coefficient matrix in the local quadratic model,and the other is implemented for weight assignment for the prediction results obtained from different local neighbors.Finally,the two sub-mod els are embedded in a unified regression framework,and the parameters are learned by means of a stochastic gradient descent(SGD)algorithm.The proposed algorithm can make full use of the information implied in target labels to find more reliable reference instances.Moreover,it prevents the model degradation caused by sensor drift and unmeasurable variables by modeling variable differences with the LQEL algorithm.Simulation results on multiple benchmark datasets and two practical industrial applications show that the proposed method outperforms several popular regression methods.

关键词： Local quadratic embedding Metric learning Regression machine Soft sensor

A novel chemical composition estimation model for cement raw material blending process

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Chinese Journal of Chemical Engineering 2019年第11期27卷 2734-2741页

作者： Yaoyao Bao yuanming zhu Weimin Zhong Feng Qian Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and TechnologyShanghai 200237China

Raw material blending process is an essential part of the cement production process. The main purpose of the process is to guarantee a certain oxide composition for the raw meal at the outlet of the mill by regulating the four raw materials. But the chemical compositions of raw materials vary from time to time, resulting in difficulties to control the oxide compositions to a predefined value. Therefore, a novel algorithm to estimate the chemical compositions of the raw materials is developed. The paper mainly consists of two parts. In model construction part, a novel constrained least square model is proposed to overcome the deviation introduced by long-term drift of the material components, and the model parameters are estimated with an online strategy. And in validation part, the approach is implemented to two examples including datasets from simulation model and the actual industrial process. The final results show the effectiveness of the proposed method.

关键词： Raw material blending process Chemical component estimation Modulus prediction System identification

EFECL:Feature encoding enhancement with contrastive learning for indoor 3D object detection

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Computational Visual Media 2023年第4期9卷 875-892页

作者： Yao Duan Renjiao Yi yuanming Gao Kai Xu Chenyang zhu School of Computing National University of Defense TechnologyChangsha 410000China

Good proposal initials are critical for 3D object detection applications.However,due to the significant geometry variation of indoor scenes,incomplete and noisy proposals are inevitable in most cases.Mining feature information among these“bad”proposals may mislead the detection.Contrastive learning provides a feasible way for representing proposals,which can align complete and incomplete/noisy proposals in feature space.The aligned feature space can help us build robust 3D representation even if bad proposals are given.Therefore,we devise a new contrast learning framework for indoor 3D object detection,called EFECL,that learns robust 3D representations by contrastive learning of proposals on two different levels.Specifically,we optimize both instance-level and category-level contrasts to align features by capturing instance-specific characteristics and semantic-aware common patterns.Furthermore,we propose an enhanced feature aggregation module to extract more general and informative features for contrastive learning.Evaluations on ScanNet V2 and SUN RGB-D benchmarks demonstrate the generalizability and effectiveness of our method,and our method can achieve 12.3%and 7.3%improvements on both datasets over the benchmark alternatives.The code and models are publicly available at https://***/YaraDuan/EFECL.

关键词： indoor scene object detection contrastive learning feature enhancement

自主产权的航道设计BIM软件的研发与工程应用

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水运工程 2024年第4期 150-156页

作者：钱原铭陈良志朱峰中交第四航务工程勘察设计院有限公司广东广州510290

针对水运工程航道设计BIM软件“卡脖子”问题,进行了航道设计软件关键性能需求分析和软件研发。结合国内某30万吨级航道改扩建工程,介绍了自研软件在航道工程设计中三维地质模型、航道参数化设计、自动剖图、工程量计算以及与其他BIM软... 详细信息

针对水运工程航道设计BIM软件“卡脖子”问题,进行了航道设计软件关键性能需求分析和软件研发。结合国内某30万吨级航道改扩建工程,介绍了自研软件在航道工程设计中三维地质模型、航道参数化设计、自动剖图、工程量计算以及与其他BIM软件交互等应用。结果表明,自研的航道设计BIM软件符合国内航道工程设计习惯,满足当前国内水运工程航道的BIM设计要求,可为类似航道项目设计软件的自主可控提供借鉴和参考。

关键词： BIM软件航道设计自主可控国产化

Photoactive donor-acceptor conjugated macrocycles:New opportunities for supramolecular chemistry

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中国化学快报:英文版 2023年第8期34卷 28-48页

作者： Shanyuan Zhong Lingyun zhu Shuai Wu yuanming Li Meijin Lin Key Laboratory of Molecule Synthesis and Function Discovery and Fujian Provincial Key Laboratory of Electrochemical Energy Storage MaterialsCollege of ChemistryFuzhou UniversityFuzhou 350116China College of Materials Science and Engineering Fuzhou UniversityFuzhou 350116China

The design and synthesis of photoactive macrocyclic molecules continue to attract attention because such species play important roles in supramolecular chemistry as well as photoelectronic applications.Donoracceptor(D-A)conjugated macrocycles are an emerging class of photoactive molecules due to their D-A conjugated structural characteristics and tunable optical properties.In addition,the well-defined cavities in such D-A macrocycles endow them with versatile host-guest properties.In this review,we provide a comprehensive summary of D-A conjugated macrocycle chemistry,detailing recent progress in the area of synthetic methods,optical properties,host-guest chemistry and applications of the underlying chemistry to chemical sensors,bioimaging and photoelectronic devices.Our objective is to provide not only a review of the fundamental findings,but also to outline future research directions where D-A conjugated macrocycles and their constructs may have a role to play.

关键词： Conjugated macrocycles Donor-acceptor Photoactive Supramolecular chemistry Photoelectronic materials

Paper triboelectric nanogenerator designed for continuous reuse and quick construction

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Nano Research 2022年第2期15卷 1109-1114页

作者： Zhenhuan Zhang Yang Jie Jiaqing zhu Zongye zhu Hong Chen Qixin Lu yuanming Zeng Xia Cao Ning Wang Zhonglin Wang Research Center for Bioengineering and Sending Technology Beijing Key Laboratory for Bioengineering and Sensing technologySchool of Chemistry and Biological engineeringand Beijing Municipal Key Laboratory of New Energy Materials and TechnologiesUniversity of Science and Technology BeijingBeijing 100083China CAS Center for Excellence in Nanoscience Beijing Institute of Nanoenergy and NanosystemsChinese Academy of SciencesBeijing 100083China College of Nanoscience and Technology University of Chinese Academy of SciencesBeijing 100049China Center on Nanoenergy Research School of Physical Science and TechnologyGuangxi UniversityNanning 530004China School of Materials Science and Engineering Georgia Institute of TechnologyAtlantaGeorgia 30332-0245USA

Along with the unceasing growth of worldwide economic and the associated issues on resources,energy and environment,clean energy generating technologies that are based on recyclable materials,if possible,may become the future trend of development.Here,we report the design of a cheap,lightweight,and recyclable single-electrode triboelectric nanogenerator(TENG)that utilizes waste paper as the triboelectric material.Under the current strategy,we successfully developed green energy machines without vastly increasing the mining of various critical minerals around the world.The as-designed TENG could not only collect and convert mechanical energy into electricity with sound efficiency,but also has the merit for continuous reuse and quick construction.The maximum output power density is as high as 171 mW·m^(-2) at a resistance of 130 MQ and could be integrated into a book for monitoring reading actions,thus providing a new approach to the low-cost,green and sustainable self-powered electronic systems.

关键词： single-electrode triboelectric nanogenerator paper clean energy green

黄连解毒汤对脂多糖诱导的小鼠急性肾损伤治疗作用及机制

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中草药 2024年第3期55卷 853-860页

作者：熊致立王瑞朱晓云付彤飞李成银吴俊松王林群沈银峰巴元明湖北中医药大学中医临床学院湖北武汉430000 湖北省中医院湖北中医药大学附属医院湖北省中医药研究院湖北武汉430000

目的研究黄连解毒汤对脂多糖诱导的小鼠急性肾损伤的作用及作用机制。方法雄性C57BL/6小鼠随机分为对照组、模型组和黄连解毒汤低、中、高剂量(50、100、150 mg/kg)组,每组8只。连续ig黄连解毒汤3 d,末次给药2 h后,ip脂多糖(10 mg/kg)... 详细信息

目的研究黄连解毒汤对脂多糖诱导的小鼠急性肾损伤的作用及作用机制。方法雄性C57BL/6小鼠随机分为对照组、模型组和黄连解毒汤低、中、高剂量(50、100、150 mg/kg)组,每组8只。连续ig黄连解毒汤3 d,末次给药2 h后,ip脂多糖(10 mg/kg)建立急性肾损伤模型。检测血清中肌酐和尿素氮水平;苏木素-伊红(HE)和高碘酸-席夫(PAS)染色检测肾组织病理变化;免疫组化法检测肾组织B淋巴细胞瘤-2(B-cell lymphoma-2,Bcl-2)和Bcl-2相关X蛋白(Bcl-2 associated X protein,Bax)表达;TUNEL染色检测肾组织细胞凋亡情况;Western blotting检测肾组织磷酸酯酶与张力蛋白同源物(phosphatase and tensin homolog,PTEN)、磷脂酰肌醇3-激酶(phosphatidylinositol 3-kinase,PI3K)、蛋白激酶B(protein kinase B,Akt)、p-PI3K和p-Akt蛋白表达。结果黄连解毒汤明显降低急性肾损伤小鼠血清中尿素氮及肌酐水平(P<0.01、0.001),改善肾脏组织病理变化,抑制肾组织细胞凋亡,上调肾组织PI3K、Akt蛋白表达(P<0.05),下调PTEN、p-PI3K、p-Akt蛋白表达(P<0.05)。结论黄连解毒汤通过调控PTEN/PI3K/Akt通路抑制细胞凋亡,进而缓解急性肾损伤。

关键词：黄连解毒汤急性肾损伤炎症反应细胞凋亡磷酸酯酶与张力蛋白同源物/磷脂酰肌醇3-激酶/蛋白激酶B通路咖啡酸小檗碱黄芩素

Built in electric field boosted photocatalytic performance in a ferroelectric layered material SrBi_(2)Ta_(2)O_(9)with oriented facets:Charge separation and mechanism insights

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Journal of Materials Science & Technology 2022年第28期123卷 222-233页

作者： Biru Liao Xiaomin Liao Huiyuan Xie Yuanchu Qin Yi zhu Yang Yu Sen Hou yuanming Zhang Xiaoyun Fan College of Chemistry and Materials Science Jinan UniversityGuangzhou 510632China Guangdong Key Laboratory of Environmental Pollution and Health School of EnvironmentJinan UniversityGuangzhou 510632China Guangdong Provincial Key Laboratory of Functional Supramolecular Coordination Materials and Applications Jinan UniversityGuangzhou 510632China

Antibiotics have received increasing attention due to their potential adverse effects on aquatic life and human health.How to efficiently degrade them into harmless substances is a challenging subject.Ferroelectric materials with a built-in electric field can offer a strong separation ability for the photoinducedcharge pairs and are now found to be used as photocatalysts.Herein,a series of different morphologies of SrBi_(2)Ta_(2)O_(9)ferroelectric photocatalysts with high antibiotic degradation efficiency have been successfully synthesized through a molten salt method.With the addition of KCl,SrBi_(2)Ta_(2)O_(9)(SBTO 3)with exposed(001)facets shows the most excellent photocatalytic activity for decomposing tetracycline(TC)and ciprofloxacin(CIP)under visible light illumination(λ>420 nm).The rate constants of SBTO 3 for TC and CIP degradation are 1.38×10^(–1)and 4.54×10^(–2)min^(–1),which are 18 and 138 times that of the unmodified sample,respectively.The enhancement of photocatalytic performance is mainly attributed to the spontaneous polarization electric field along the[001]direction which provides a strong driven force for the separation of photoinduced charges.The KPFM results also confirm that the superior photocatalytic activity is consistent with the big large surface potential changes before and after light irradiation.The possible degradation pathways and intermediates of TC and CIP were well analyzed by DFT calculation and LC-MS.The results highlight that morphology control of the ferroelectric materials exhibits enhanced photocatalytic performance for the degradation of the antibiotic.

关键词： SrBi_(2)Ta_(2)O_(9) Morphology Ferroelectric Photocatalysis Antibiotics Built-in electric field

A slippery hydrogel coating with durable oil-repellent property and self-regeneration capacity

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Science China(Technological Sciences) 2022年第8期65卷 1819-1827页

作者： XU Ting GAO ZhongShuai LI FangChao MIAO Gan JIA YuYu MIAO Xiao zhu XiaoTao LU JingWei WANG Bo SONG yuanming REN GuiNa LI XiangMing School of Environmental and Material Engineering Yantai UniversityYantai 264405China Shandong Key Laboratory of Optical Communication Science and Technology School of Physics Science and Information TechnologyLiaocheng UniversityLiaocheng 252000China

Traditional lubricant impregnated surfaces usually required fluorinated lubricants to achieve slippery oil repellency, but the lubricants infused were expensive and toxic and also suffered from limited stability because of their migrating, evaporating, and leaking during use. Herein, to address this issue, we fabricated a durably fluorine-free slippery oil-repellent hydrogel coating using water as the lubricant. Due to its enhanced water-binding affinity, water could wet the hydrogel completely and form a hydrated-water layer on the surface. The hydrated water layer could act as a lubricant to repel foreign oils, which allowed the hydrogel to display slippery oil-repellency in air, exhibit superoleophobicity underwater, and resist oil fouling upon oil immersion.The hydrogel kept its oil-repellent properties after mechanical tests as well as thermal and freezing treatments,demonstrating its durability. Thanks to its moisture absorption, the water lubricant layer could self-regenerate upon the lubricated water layer depletion through exposure to a humid environment. Exploiting it is water-attracting and oil repellency, the hydrogel coating was demonstrated as a versatile platform for oil/water separation, polymer/water separation, drag-reduction, and antifogging.

关键词： slippery oil repellency self-regeneration moisture absorbing oil/water separation