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TRIM66-HP1γ remodels the chromatin through phase separation

Biophysics Reports 2025年第1期11卷 18-33页

作者： Siyuan Shen Feng Chen Yifan Zhang Fudong Li Xuebiao Yao Dan Liu Yunyu Shi Liang Zhang Center for Advanced Interdisciplinary Science and Biomedicine of IHM Division of Life Sciences and MedicineUniversity of Science and Technology of China Ministry of Education Key Laboratory for Membraneless Organelles and Cellular Dynamics University of Science and Technology of China Hefei National Research Center for Cross disciplinary Science University of Science and Technology of China

Chromatin contains not only heterochromatin(HC) and euchromatins(EC) but also facultative heterochromatin(f HC), which experience the dynamic remodeling between HCs and ECs by different regulators. The regulation of f HCs involves lots of different cell functions, like genomic stability and gene transcription. Heterochromatin protein 1(HP1) recognizes methylated H3K9 and reshapes the chromatin into the f HCs through liquid–liquid phase separation(LLPS). Among the three members of the HP1 family, HP1α can condensate by itself and HP1β forms granules with the help of TRIM28, while the HP1γ cannot phase separation alone either and the coordinator is still unclear. So, in this study, we investigated the molecular mechanism of how HP1γ interacts with TRIM66 through Px Vx L motif. Based on that, we examined the key regions that controlled the TRIM66-HP1γ co-phase separation behaviors both in vitro and in vivo. Furthermore, we proved that the liquid granules of TRIM66-HP1γ and chromatin highly correlated with H3K9me3 sites, which indicated the relationship with DNA damage response. Finally, combined with our previous study, we proposed the system for how TRIM66 remodeled the chromatin into compressed f HC through the TRIM66-HP1γ-H3K9me3 axis with liquid–liquid phase separation.

关键词： Chromatin TRIM66-HP1γ Facultative heterochromatin Phase separation

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Poly(alkyl-biphenyl pyridinium)anion exchange membranes with a hydrophobic side chain for mono-/divalent anion separation

Industrial Chemistry & Materials

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Industrial Chemistry & Materials 2023年第1期1卷 129-139页

作者： Hongxin Yang Noor Ul Afsar Qian Chen Xiaolin Ge Xingya Li Liang Ge Tongwen Xu Anhui Provincial Engineering Laboratory of Functional Membrane Materials and Technology Department of Applied ChemistrySchool of Chemistry and Materials ScienceUniversity of Science and Technology of ChinaHefei 230026PR China Applied Engineering Technology Research Center for Functional Membranes Institute of Advanced TechnologyUniversity of Science and Technology of ChinaHefei230088PR China

A series of poly(alkyl-biphenyl pyridinium)anion exchange membranes(AEMs)with a hydrophobic side chain were prepared for mono-/divalent anion separation using electrodialysis(ED).A poly(alkyl-biphenyl pyridinium)polymer was synthesized via superacid-catalyzed polymerization,and then quaternization was conducted using Menshutkin reactions with *** obtained quaternized product had excellent solubility in common organic solvents,making it flexible to form homogeneous membranes by a solution casting *** introduction of a hydrophobic side chain resulted in a microphase separation structure in the membrane,which is favorable to the active transport of Cl−(higher Cl−flux of up to 3.37 mol m−2 h−1 at a 10 mA cm−2 current density)compared with that of SO42−ions giving a high permselectivity of 11.9 in a mixed salt(NaCl/Na2SO4)*** addition,the prepared membrane exhibited excellent alkaline stability in successive ED *** showed an OH−flux of up to 3.6 mol m−2 h−1 with a permselectivity of 361.2 between OH−and WO42−,which is much higher than that of Neosepta ACS *** ED results manifest that the poly(alkyl-biphenyl pyridinium)AEMs can be promising candidates for practical mono-/divalent anion separation in industry.

关键词： Superacid-catalyzed polymerization Anion exchange membrane Mono-/divalent anion separation Electrodialysis Permselectivity

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Developing silicon-based photocathodes for CO_(2) conversion

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science China Chemistry 2024年第6期67卷 1904-1921页

作者： Weijie Zhuang Miao Kan Tao Meng Jinlong Zhang Key Laboratory for Advanced Materials and Joint International Research Laboratory of Precision Chemistry and Molecular Engineering Feringa Nobel Prize Scientist Joint Research CenterSchool of Chemistry and Molecular EngineeringEast China University of Science and TechnologyShanghai200237China Shanghai Engineering Research Center for Multimedia Environmental Catalysis and Resource Utilization East China University of Science and TechnologyShanghai200237China

Photoelectrochemical(PEC)conversion of CO_(2) presents a promising avenue for solar-driven chemical fuel production,with silicon emerging as a cost-effective and high-light-absorbing material pivotal to this *** at exploring opportunities for industrializing PEC CO_(2) reduction(PEC-CO_(2)R)by minimizing reaction energy consumption,enhancing reaction efficiency and selectivity,this review summarizes recent advancements in developing Si-based photocathodes for PEC-CO_(2)*** outlines the fundamental principles,advantages,and limitations of Si photocathodes with key performance *** on this understanding,the strategies to enhance the performance of the PEC-CO_(2)R system,including light absorption,charge separation,and catalytic reactions are categorized as the interfacial modification,active site decoration,and protective layer *** design ideas of this advantageous three-layer structure in promoting the efficiency,stability,and selectivity have been ***,this review scrutinizes the influence of the photocathodic chemical *** review consolidates the mechanism insights and notable breakthroughs of various fuel generation processes within Si-based PEC-CO_(2)R *** this wealth of information offers an up-to-date perspective on the dynamic developments in silicon-based PEC-CO_(2) conversion and underscores the promising pathways toward the sustainable fuel synthesis from pollutant CO_(2).

关键词： photoelectrochemistry solar fuels silicon photocathodes carbon dioxide reduction microenvironment

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Photoelectrochemical seawater oxidation with metal oxide materials:Challenges and opportunities

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Journal of Energy Chemistry 2024年第10期97卷 767-782,I0016页

作者： Miao Kan Hangyu Hu Weijie Zhuang Meng Tao Shiqun Wu Jinlong Zhang Key Laboratory for Advanced Materials and Joint International Research Laboratory of Precision Chemistry and Molecular Engineering Feringa Nobel Prize Scientist Joint Research CenterSchool of Chemistry and Molecular EngineeringEast China University of Science and TechnologyShanghai 200237China Shanghai Engineering Research Center for Multimedia Environmental Catalysis and Resource Utilization East China University of Science and TechnologyShanghai 200237 China

Photocatalytic water oxidation is a crucial counter-electrode reaction in the process of photoelectrochemical energy *** its importance,challenges remain in effectively and sustainably converting water to oxygen,particularly with readily available and inexpensive electrolyte solutions such as *** metal oxide materials have demonstrated their advantages in promoting efficiency by reducing overpotential and improving light utilization,stability remains limited by corrosion in multicomponent *** this paper,we reviewed the relationship between four basic concepts including photoelectrochemistry,metal oxide,water oxidation and seawater to better understand the challenges and opportunities in photoelectrochemical(PEC)seawater *** overcome these challenges,the advances in material design,interfacial modification,local environment control and reactor design have been further reviewed to benefit the industrial PEC seawater ***,we demonstrate engineered layered metal oxide electrodes and cell structures that enable powerful and stable seawater *** also outline and advise on the future direction in this area.

关键词： Photoelectrochemistry Anode Water oxidation Metal oxide Seawater Stability

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A Novel Approach to Deep Metric Learning with In-Batch Feature Vector Constraint 24

A Novel Approach to Deep Metric Learning with In-Batch Featu...

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8th International Conference on Innovation in Artificial Intelligence, ICIAI 2024

作者： Kim, Wonjik National Institute of Advanced Industrial Science and Technology Artificial Intelligence Research Center Japan

ISBN: (纸本)9798400709302

In recent years, deep metric learning has gained significant attention, primarily due to its capability to merge distance metric learning with deep neural networks seamlessly. While various approaches, such as the pair-based angular loss function or spherical embedding constraint, have been proposed, they often require additional trainable parameters, making them complex and challenging to integrate with other loss functions. This paper introduces a novel approach termed "In-Batch Feature Distance Constraint,"which does not require extra trainable parameters. Due to its high accessibility, this constraint can be effortlessly amalgamated with diverse loss functions. Experimental evaluations on image classification and semantic segmentation tasks, spanning five datasets, nine network architectures, and three loss functions, show the effectiveness of the proposed method in improving network performance. © 2024 Owner/Author.

关键词： Semantic Segmentation

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Deep learning-enhanced NIR-II fluorescence volumetric microscopy for dynamic 3D vascular imaging

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Journal of Innovative Optical Health sciences 2025年第3期18卷 154-164页

作者： Shiyi Peng Yuhuang Zhang Xuanjie Mou Tianxiang Wu Mingxi Zhang Jun Qian State Key Laboratory of Extreme Photonics and Instrumentation International Research Center for Advanced PhotonicsCentre for Optical and Electromagnetic ResearchCollege of Optical Science and EngineeringZhejiang UniversityHangzhou 310058P.R.China State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of TechnologyWuhan 430070P.R.China

Three-dimensional (3D) visualization of dynamic biological processes in deep tissue remains challenging due to the trade-off between temporal resolution and imaging depth. Here, we present a novel near-infrared-II (NIR-II, 900–1880nm) fluorescence volumetric microscopic imaging method that combines an electrically tunable lens (ETL) with deep learning approaches for rapid 3D imaging. The technology achieves volumetric imaging at 4.2 frames per second (fps) across a 200 μm depth range in live mouse brain vasculature. Two specialized neural networks are utilized: a scale-recurrent network (SRN) for image enhancement and a cerebral vessel interpolation (CVI) network that enables 16-fold axial upsampling. The SRN, trained on two-photon fluorescence microscopic data, improves both lateral and axial resolution of NIR-II fluorescence wide-field microscopic images. The CVI network, adapted from video interpolation techniques, generates intermediate frames between acquired axial planes, resulting in smooth and continuous 3D vessel reconstructions. Using this integrated system, we visualize and quantify blood flow dynamics in individual vessels and are capable of measuring blood velocity at different depths. This approach maintains high lateral resolution while achieving rapid volumetric imaging, and is particularly suitable for studying dynamic vascular processes in deep tissue. Our method demonstrates the potential of combining optical engineering with artificial intelligence to advance biological imaging capabilities.

关键词： NIR-II fluorescence bioimaging volumetric microscopy deep learning reconstruction dynamic vascular imaging

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A Novel FDTD-PIC Scheme for Accurate Transient Analysis of Terahertz Gyrotrons

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IEEE Transactions on Terahertz science and technology 2025年第3期15卷 496-504页

作者： Tang, Runfeng Chen, Xianfei Xie, Liangqian Liu, Weijian He, Chenxi Han, Xiaotao Savilov, Andrei V. Yu Glyavin, Mikhail Xiao, Houxiu Huazhong University of Science and Technology Wuhan National High Magnetic Field Center School of Electrical and Electronic Engineering Wuhan China Russian Academy of Sciences Federal Research Center Institute of Applied Physics Nizhny Novgorod603950 Russia Lobachevsky State University of Nizhny Novgorod Advanced School of General and Applied Physics Nizhny Novgorod603950 Russia

As the resonant frequencies advance into the terahertz regime, the mode competition in the gyrotron becomes increasingly intense, exhibiting atypical and varied transient processes. Consequently, rigorous time-domain simulation is crucial for developing terahertz gyrotrons. Traditional dedicated codes typically utilize the gyro-averaged method to address fast time-scale behaviors. However, this approach may lead to misinterpretation when analyzing transient processes involving modes with different response properties and multi-scale behaviors, such as harmonic and gyro-BWO operations. To address this challenge, this paper directly analyzes the dynamic behavior of various modes based on fast-varying field variables without any time-scale assumption, ensuring a precise depiction of beam-wave interactions. The proposed numerical framework integrates a scalar 1D Finite Difference Time Domain (FDTD) method with a 3D Particle-In-Cell (PIC) algorithm, providing a comprehensive description of full-wave physics. The simplified 1D FDTD model, along with the pre-selection of relevant modes, significantly reduces data storage requirements. A thorough validation of the proposed numerical framework demonstrates that the results align well with those obtained from established dedicated codes, showcasing superior accuracy in transient analysis. © 2011-2012 IEEE.

关键词： Transient analysis

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Virtual Reality Based Shading Pattern Recognition and Interactive Global Maximum Power Point Tracking in Photovoltaic Systems

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Journal of Modern Power Systems and Clean Energy 2024年第6期12卷 1849-1858页

作者： Kangshi Wang Jieming Ma Xiao Lu Jingyi Wang Ka Lok Man Kaizhu Huang Xiaowei Huang School of Advanced Technology Xi'an Jiaotong-Liverpool UniversitySuzhou 215123China Data Science Research Center Duke Kunshan UniversitySuzhou 215316China School of Computer Science the University of LiverpoolLiverpoolU.K

The performance of photovoltaic(PV)systems is in-fluenced by various factors,including atmospheric conditions,geographical locations,and spatial and temporal ***,the optimization of PV systems relies heavily on the global maximum power point tracking(GMPPT)*** this paper,we adopt virtual reality(VR)technology to visual-ize PV entities and simulate their *** integra-tion of VR technology introduces a novel spatial and temporal dimension to the shading pattern recognition(SPR)of PV sys-tems,thereby enhancing their descriptive ***-more,we introduce an interactive GMPPT(IGMPPT)method based on VR *** method leverages interactive search techniques to narrow down search regions,thereby en-hancing the search *** results demonstrate the effectiveness of the proposed IGMPPT in representing the spatial and temporal characteristics of PV systems and improv-ing the efficiency of GMPPT.

关键词： Photovoltaic(PV)system virtual reality(VR) shading pattern recognition(SPR) global maximum power point tracking(GMPPT)

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Bipolar ionomer electrolytes with desirable self-discharge suppression for supercapacitors

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Journal of Energy Chemistry 2023年第3期78卷 422-429,I0012页

作者： Wenqiang Wang Qingyun Zeng Ruoyu Wang Gengchao Wang Chunzhong Li Shanghai Engineering Research Center of Hierarchical Nanomaterials Shanghai Key Laboratory of Advanced Polymeric MaterialsSchool of Materials Science and EngineeringEast China University of Science and TechnologyShanghai 200237China Shanghai Engineering Research Center of Hierarchical Nanomaterials School of Chemical EngineeringEast China University of Science and TechnologyShanghai 200237China

Supercapacitors based on electric double layers are prone to serious self-discharge due to electrolyte ion desorption and the resulting energy loss severely limits the application range of *** design of polymer electrolyte systems to address this problem shows considerable generality and high ***,we reported a quasi-solid-state bipolar ionomer electrolyte prepared by an in-situ layer-by-layer ultraviolet-curing method,which has an integrated Janus structure with an intermediate binding *** on the synergistic effect of confining impurity ions by ionizable groups and electrostatic repulsion to stabilize the electric double layers and superimposing synergies on both sides,the assembled device not only possesses ideal supercapacitor characteristics,but also exhibits an ultrahigh voltage retention of 71% after being left to stand for 100 h after being fully ***,through the quasi-in-situ energy dispersive X-ray spectroscopy linear scanning,the characteristics of ion diffusion in this ionomer electrolyte are revealed,suggesting its correlation with self-discharge behavior.

关键词： Bipolar membrane Ionomer electrolyte Supercapacitors Self-discharge

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Enhancement of densification and mechanical property of(Hf_(0.2)Zr_(0.2)Ti_(0.2)Nb_(0.2)Ta_(0.2))N high-entropy bulk ceramic via silicon carbide addition

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Journal of advanced Ceramics 2025年第1期14卷 59-70页

作者： Wuyang Song Youjun Lu Lutong Yang Maohui Li Xiao Zhang Bo Ma Chuyun Wang Yanmin Wang Jinfeng Li Xiang Liu School of Materials Science and Engineering North Minzu UniversityYinchuan 750021China National and Local Joint Engineering Research Center of Advanced Carbon-Based Ceramics Preparation Technology Yinchuan 750021China College of Materials Science and Engineering South China University of TechnologyGuangzhou 510641China

In this work,high-entropy composite bulk ceramic of(Hf_(0.2)Zr_(0.2)Ti_(0.2)Nb_(0.2)Ta_(0.2))N/silicon carbide(HEN–SiC)was fabricated via spark plasma sintering(SPS)at 2100℃with submicron-sized single-phase(Hf_(0.2)Zr_(0.2)Ti_(0.2)Nb_(0.2)Ta_(0.2))N(HEN)powder as a raw material and SiC particles as a sintering *** crystal structure,phase composition,and grain size/morphology of the composite were characterized by X-ray diffraction,scanning electron microscopy,transmission electron microscopy,and energy dispersive *** relative density and mechanical properties(i.e.,bending strength,Vickers hardness,and fracture toughness)of the composite bulk ceramics were *** results show that the relative density of the composite bulk ceramics with increasing SiC particle content from 0 to 10.0 wt%increases from 93.08%±0.13%to 99.12%±0.12%.The high-entropy composite bulk ceramic with SiC particle content of 10.0 wt%exhibits the optimum mechanical properties(i.e.,Vickers hardness of 23.34±0.67 GPa,fracture toughness of 4.35±0.13 MPa·m^(1/2),and bending strength of 409±11 MPa)compared with the ceramic without SiC particles(i.e.,Vickers hardness of 19.16±0.56 GPa,fracture toughness of 3.78±0.09 MPa·m^(1/2),and bending strength of 335±11 MPa).These results indicate that SiC particles can be distributed and fill the HEN grain boundaries in the ceramic matrix,promoting composite densification via pinning grain boundaries and inhibiting grain *** enhanced fracture toughness can be due mainly to fine-grain toughening in addition to lamellar/chain structure *** use of SiC as a sintering aid can promote the densification and fracture toughness of high-entropy nitride bulk ceramics,providing a promising approach for the preparation of high-density,high-performance high-entropy nitride bulk ceramics.

关键词： high-entropy nitride ceramic composite ceramic fine-grain toughening mechanical properties

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