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Science China Chemistry 2025年

作者： Shunfei Cui Yiyao Pan chenzhe Ma Bin Qi Qingqiang min ming Li Huabing chen Hengte Ke Xingyue Ji Jiangsu Province Engineering Research Center of Precision Diagnostics and Therapeutics Development College of Pharmaceutical ScienceSoochow University

Carbon monoxide（CO） has recently been well-established as a promising therapeutic modality against cancer. The development of transition-metal-free and tumor-targeted delivery platforms for CO is highly demanded but remains very sporadic. Herein, we developed a polyprodrug system for the co-delivery of CO and a chemotherapeutic agent combretastin A-4（CA-4） to the tumor site based on a chemiexcitation mechanism. Such a poly-prodrug successfully achieved the co-activation of CO and CA-4 in response to H2O2at the tumor site both in vitro and in vivo. Importantly, a synergist effect between CO and CA-4 was observed in suppressing tumor growth in a mouse tumor model. It is anticipated that such a poly-prodrug system could be potentially adapted for the co-delivery of CO and another drug payload for combinational therapy for other indications.

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Facile synthesis of the dodecahydridododecaborate (B12H122-) from borane Lewis base adducts

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Science China Chemistry 2025年

作者： Yi Jing Xin-Ran Liu Xing-Hua Wang Hui Han Sha-Sha Liang Xi-Meng chen dong-Hui Wei Lai-Sheng Wang Xue-Nian chen College of Chemistry Zhengzhou University School of Chemistry and Chemical Engineering Henan Key Laboratory of Boron Chemistry and Advanced MaterialsHenan Normal University Department of Chemistry Brown University

Polyhedral boranes are a class of well-known boron molecular clusters widely used in energy,chemistry,medicine,and materials science because of their unique physical and chemical *** efforts have been made in the past decades to find more effective synthetic methods for this important class of boron ***,existing synthetic methods suffer from low efficiency and low ***,we report a facile one-pot synthesis of[（CH3）3S]2B12H12with moderate yields at mild *** mechanisms for the multi-step chemoselective synthesis of B12H122-without other by-products are elucidated based on theoretical results and our previous *** Lewis base used in B–H bond condensation reaction,which acts as a hydrogen or to balance the newly generated polyhedral borane charges,is proposed and studied in *** current study has led to a more effective and selective synthetic method for B12H122-and has also implicated the syntheses of other new polyhedral boranes.

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垃圾焚烧电厂废水综合利用和“零排放”工艺设计

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中国资源综合利用 2018年第3期36卷 72-76页

作者：李敏陈冬孟鑫侯静刚江苏省节能工程设计研究院有限公司南京211100

以苏州某生活垃圾焚烧发电厂为例,本文分析并评价了其污/废水利用现状,然后研究了该垃圾发电厂的污/废水"零排放"工艺设计。首先,生活污水排到渗滤液站合并处理;其次,渗滤液经DTRO减量化系统再浓缩处理后,产生的浓水经MVR(机械式蒸汽再... 详细信息

以苏州某生活垃圾焚烧发电厂为例,本文分析并评价了其污/废水利用现状,然后研究了该垃圾发电厂的污/废水"零排放"工艺设计。首先,生活污水排到渗滤液站合并处理;其次,渗滤液经DTRO减量化系统再浓缩处理后,产生的浓水经MVR(机械式蒸汽再压缩技术)处理,最终少量浓缩液回喷于锅炉。渗滤液处理后的出水回用于厂内循环冷却水补水等用水点,从而实现污/废水的零排放。

关键词：垃圾焚烧污/废水综合利用零排放渗滤液浓水处理机械式蒸汽再压缩技术

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对数动态骨架本构模型的多维实现及其在ABAQUS中的应用

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岩土工程学报 2025年第1期47卷 192-199页

作者：董青陈苏李小军董云陈亚东周正华朱俊淮阴工学院建筑工程学院江苏淮安223003 北京工业大学城建学部北京100124 南京工业大学交通运输工程学院江苏南京210009

对数动态骨架本构以对数函数作为骨架曲线,引入“修正动骨架曲线”和“阻尼比退化系数”的概念,考虑试验阻尼对滞回曲线的影响,实现试验阻尼和滞回阻尼在数学上自洽的非线性动力本构。该本构只适用于一维土层场地时域非线性地震反应分... 详细信息

对数动态骨架本构以对数函数作为骨架曲线,引入“修正动骨架曲线”和“阻尼比退化系数”的概念,考虑试验阻尼对滞回曲线的影响,实现试验阻尼和滞回阻尼在数学上自洽的非线性动力本构。该本构只适用于一维土层场地时域非线性地震反应分析。基于对数动态骨架本构函数关系式,给出对数动态骨架参数的求解方法,并推导出加卸载曲线的时变切线剪切模量。通过ABAQUS软件的操作平台和等效剪应变算法,开发了基于对数动态骨架本构模型的显式子程序模块,该模型适用于二维和三维土层场地非线性地震反应分析。选取含软弱淤泥质土层场地作为计算模型,将从基岩输入不同加速度峰值的EI centro地震动的数值模拟结果进行对比,验证可考虑土体阻尼效应的对数动态骨架本构以及开发子程序的合理性和可用性。

关键词：对数动骨架本构阻尼比场地地震反应时变切线剪切模量

Toward understanding the role of genomic repeat elements in neurodegenerative diseases

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Neural Regeneration Research 2025年第3期20卷 646-659页

作者： Zhengyu An Aidi Jiang Jingqi chen Institute of Science and Technology for Brain-Inspired Intelligence Fudan UniversityShanghaiChina MOE Frontiers Center for Brain Science Fudan UniversityShanghaiChina MOE Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence Fudan UniversityShanghaiChina Zhangjiang Fudan International Innovation Center ShanghaiChina

Neurodegenerative diseases cause great medical and economic burdens for both patients and society;however, the complex molecular mechanisms thereof are not yet well understood. With the development of high-coverage sequencing technology, researchers have started to notice that genomic repeat regions, previously neglected in search of disease culprits, are active contributors to multiple neurodegenerative diseases. In this review, we describe the association between repeat element variants and multiple degenerative diseases through genome-wide association studies and targeted sequencing. We discuss the identification of disease-relevant repeat element variants, further powered by the advancement of long-read sequencing technologies and their related tools, and summarize recent findings in the molecular mechanisms of repeat element variants in brain degeneration, such as those causing transcriptional silencing or RNA-mediated gain of toxic function. Furthermore, we describe how in silico predictions using innovative computational models, such as deep learning language models, could enhance and accelerate our understanding of the functional impact of repeat element variants. Finally, we discuss future directions to advance current findings for a better understanding of neurodegenerative diseases and the clinical applications of genomic repeat elements.

关键词： Alzheimer's disease ataxia deep learning long-read sequencing neurodegeneration neurodegenerative diseases Parkinson's disease repeat element structural variant

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Fabrication and Mechano-sensing Characteristics of Bending Polypyrrole Actuator

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Journal of Wuhan University of Technology(Materials Science) 2025年第1期40卷 240-245页

作者： chen Jinyou HU Wei School of Automotive Engineering Hunan Financial&Industrial Vocational-technical CollegeHengyang 421002China College of Mechanical and Electrical Engineering Hunan Agricultural UniversityChangsha 410128China

To prepare a conductive polymer actuator with decent performance,a self-built experimental platform for the preparation of polypyrrole film is *** of the essential goals is to examine the mechanical characteristics of the actuator in the presence of various combinations of process parameters,combined with the orthogonal test method of"four factors and three levels".The bending and sensing characteristics of actuators of various sizes are methodically examined using a self-made bending polypyrrole *** functional relationship between the bending displacement and the output voltage signal is established by studying the characteristics of the actuator sensor subjected to various degrees of *** experimental results reveal that the bending displacement of the actuator tip almost exhibits a linear variation as a function of length and *** the voltage reaches 0.8 V,the bending speed of the actuator tends to be ***,the mechanical properties of the self-assembled polypyrrole actuator are verified by the design and fabrication of the microgripper.

关键词： conductive polymer polypyrrole mechanical characteristics actuators sensing characteristics

A strategy to control microstructures of a Ni-based superalloy during hot forging based on particle swarm optimization algorithm

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Advances in Manufacturing 2019年第2期7卷 238-247页

作者： dong-dong chen Yong-cheng Lin Xiao-min chen School of Mechanical and Electrical Engineering Central South University Changsha 410083 People's Republic of China State Key Laboratory of High Performance Complex Manufacturing Changsha 410083 People's Republic of China College of Automotive and Mechanical Engineering Changsha University of Science and Technology Changsha 410114 People's Republic of China

In this study, a strategy based on the particle swarm optimization (PSO) algorithm is developed to control the microstructures of a Ni-based superalloy during hot forging. This strategy is composed of three parts, namely, material models, optimality criterions, and a PSO algo rithm. The material models are utilized to predict microstructure information, such as recrystallization volume fraction and average grain size. The optimality crite? non can be determined by the designed target microstructures and random errors. The developed strategy is resolved using the PSO algorithm, which is an intelligent optimal algorithm. This algorithm does not need a derivable objective function, which renders it suitable for dealing with the complex hot forging process of alloy components. The optimal processing parameters (deformation temperature and strain rate) are obtained by the developed strategy and validated by the hot forging experiments. Uniform and fine target microstructures can be obtained using the optimized processing parameters, which indicates that the developed strategy is effective for controlling the microstructural evolution during the hot forging of the studied superalloy.

关键词： Processing parameters Microstructure Particle swarm optimization (PSO) algorithm Superalloy

Analysis of Micromechanical Properties at the Interface of Pre-wet SBS Modified Asphalt Mixture Based on Molecular Simulation Technology

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Journal of Wuhan University of Technology(Materials Science) 2025年第1期40卷 103-113页

作者： chen Wuxing chen Shuang YU Yan ZHANG Jiangyi XU Haiyang GUO Wei School of mines China University of Mining and TechnologyXuzhou 221000China College of Construction Engineering Jilin Uni-versityChangchun 130026China

The pre-wetting of aggregate surface is a means to improve the interface performance of SBS modified asphalt and *** effect of pre-wetting technology on the interaction between SBS modified asphalt and aggregate was analyzed by molecular dynamics *** diffusion coefficient and concentration distribution of SBS modified asphalt on aggregate surface are *** simulation results show that the diffusion coefficient of the aggregate surface of SBS modified asphalt is increased by 47.6%and 70.5%respectively after 110#asphalt and 130#asphalt are *** concentration distribution of SBS modified asphalt on the aggregate surface after pre-wetting is more *** to the results of interface energy calculation,the interface energy of SBS modified bitumen and aggregate can be increased by about 5%after *** to the results of molecular dynamics simulation,the pre-wetting technology can effectively improve the interface workability of SBS modified bitumen and aggregate,so as to improve the interface performance.

关键词： pre-wet oil-stone interface interface interaction interface mechanics molecular dynamics simulation

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肝癌门静脉癌栓内碘油沉积的CT表现和意义

实用放射学杂志 2003年第7期19卷 627-630页

作者：程红岩徐爱民陈栋贾雨辰第二军医大学东方肝胆外科医院影像科第二军医大学东方肝胆外科医院影像科上海200438

目的　研究经皮肝动脉碘油化疗栓塞 (lipiodoltranscatheterarterialchemoembolization ,Lp -TACE)治疗肝癌后门静脉癌栓碘油沉积CT表现和意义。方法　 42例肝癌患者行Lp -TACE ,灌注碘油 5～ 2 0ml不等 ,碘油用量以肿瘤内基本上被碘油... 详细信息

目的　研究经皮肝动脉碘油化疗栓塞 (lipiodoltranscatheterarterialchemoembolization ,Lp -TACE)治疗肝癌后门静脉癌栓碘油沉积CT表现和意义。方法　 42例肝癌患者行Lp -TACE ,灌注碘油 5～ 2 0ml不等 ,碘油用量以肿瘤内基本上被碘油完全充满为止。经螺旋CT 3期薄层扫描发现门静脉内碘油沉积。结果　在 42例患者中巨块型肝癌 3 4例、多结节性 8例 (包括术后复发 4例 ) ;3 6例为多血供 ,6例少血供 ;DSA时 3 1例有动静脉瘘 ,11例无明显动静脉瘘 ;碘油沉积于门静脉右支 18例、左支 9例和左右支及主干 15例 ,6例随着Lp -TACE的次数增加 ,门静脉癌栓内碘油量也增加 ;门静脉内碘油表现为条片状 16例 ,混合状 10例 ,团状和“双轨”状各 6例 ,点状 4例。结论　Lp -TACE可使碘油进入门静脉 ,碘油沉积于门静脉癌栓内呈现不同的表现 ,并可起到一定的治疗作用。

关键词：癌,肝细胞化学栓塞,治疗性碘油栓子门静脉

A Lightweight Multiscale Feature Fusion Network for Solar Cell Defect Detection

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Computers, Materials & Continua 2025年第1期82卷 521-542页

作者： Xiaoyun chen Lanyao Zhang Xiaoling chen Yigang Cen Linna Zhang Fugui Zhang School of Mechanical Engineering Guizhou UniversityGuiyang550025China School of Computer Science and Technology Beijing Jiaotong UniversityBeijing100044China

Solar cell defect detection is crucial for quality inspection in photovoltaic power generation *** the production process,defect samples occur infrequently and exhibit random shapes and sizes,which makes it challenging to collect defective ***,the complex surface background of polysilicon cell wafers complicates the accurate identification and localization of defective *** paper proposes a novel Lightweight Multiscale Feature Fusion network(LMFF)to address these *** network comprises a feature extraction network,a multi-scale feature fusion module(MFF),and a segmentation ***,a feature extraction network is proposed to obtain multi-scale feature outputs,and a multi-scale feature fusion module(MFF)is used to fuse multi-scale feature information *** order to capture finer-grained multi-scale information from the fusion features,we propose a multi-scale attention module(MSA)in the segmentation network to enhance the network’s ability for small target ***,depthwise separable convolutions are introduced to construct depthwise separable residual blocks(DSR)to reduce the model’s parameter ***,to validate the proposed method’s defect segmentation and localization performance,we constructed three solar cell defect detection datasets:SolarCells,SolarCells-S,and *** and SolarCells-S are monocrystalline silicon datasets,and PVEL-S is a polycrystalline silicon *** results show that the IOU of our method on these three datasets can reach 68.5%,51.0%,and 92.7%,respectively,and the F1-Score can reach 81.3%,67.5%,and 96.2%,respectively,which surpasses other commonly usedmethods and verifies the effectiveness of our LMFF network.

关键词： Defect segmentation multi-scale feature fusion multi-scale attention depthwise separable residual block