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Alternative splicing and related RnA binding proteins in human health and disease

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Signal Transduction and Targeted Therapy 2024年第3期9卷 839-871页

作者： yining Tao Qi Zhang Haoyu wang Xiyu Yang Haoran Mu Department of Orthopedics Shanghai General HospitalShanghai Jiao Tong University School of Medicine200000 ShanghaiChina Shanghai Bone Tumor Institution 200000 ShanghaiChina Department of Biochemistry and Molecular Cell Biology Shanghai Key Laboratory for Tumor Microenvironment and InflammationShanghai Jiao Tong University School of Medicine200000 ShanghaiChina

Alternative splicing(AS)serves as a pivotal mechanism in transcriptional regulation,engendering transcript diversity,and modifications in protein structure and *** varying tissues,developmental stages,or under specific conditions,AS gives rise to distinct splice *** implies that these isoforms possess unique temporal and spatial roles,thereby associating AS with standard biological activities and *** these,AS-related RnA-binding proteins(RBPs)play an instrumental role in regulating alternative splicing *** physiological conditions,the diversity of proteins mediated by AS influences the structure,function,interaction,and localization of proteins,thereby participating in the differentiation and development of an array of tissues and *** pathological conditions,alterations in AS are linked with various diseases,particularly *** changes can lead to modifications in gene splicing patterns,culminating in changes or loss of protein *** instance,in cancer,abnormalities in AS and RBPs may result in aberrant expression of cancer-associated genes,thereby promoting the onset and progression of *** and RBPs are also associated with numerous neurodegenerative diseases and autoimmune ***,the study of AS across different tissues holds significant *** review provides a detailed account of the recent advancements in the study of alternative splicing and AS-related RnA-binding proteins in tissue development and diseases,which aids in deepening the understanding of gene expression complexity and offers new insights and methodologies for precision medicine.

关键词： organs alterations thereby

Resource Allocation for Channel Estimation in Reconfigurable Intelligent Surface-Aided Multi-Cell networks

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Journal of Communications and Information networks 2024年第1期9卷 64-79页

作者： yining Xu Sheng Zhou Department of Electronic Engineering Beijing National Research Center for Information Science and TechnologyTsinghua UniversityBeijing 100084China

Reconfigurable intelligent surface(RIS)is a promising solution to deal with the blockage-sensitivity of millimeter wave band and reduce the high energy consumption caused by network densification. However, deploying large scale RISs may not bring expected performance gain due to significant channel estimation overhead and non-negligible reflected *** this paper,we derive the analytical expressions of the coverage probability, area spectrum efficiency(ASE)and energy efficiency (EE)of a downlink RIS-aided multi-cell *** order to optimize the network performance, we investigate the conditions for the optimal number of training symbols of each antenna-to-antenna and antenna-to-element path (referred to as the optimal unit training overhead) in channel *** study shows that:1)RIS deployment is not“the more, the better”, only when blockage objects are dense should one deploy more RISs;2) the coverage probability is maximized when the unit training overhead is designed as large as possible;3)however,the ASE-and-EE-optimal unit training overhead exists. It is a monotonically increasing function of the frame length and a monotonically decreasing function of the average signal-to-noise-ratio (in the high signal-to-noise-ratio region). Additionally,the optimal unit training overhead is smaller when communication nodes deploy particularly few or many antennas.

关键词： reconfigurable intelligent surface multi-cell network directional transmissions channel estimation resource allocation stochastic geometry

nuclear volume effects in kinetic isotope fractionation:A case study of mercury oxidation by chlorine species

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Acta Geochimica 2024年第3期43卷 411-423页

作者： Chenlu Yang yining Zhang Yun Liu Research Center for Planetary Science College of Earth and Planetary SciencesChengdu University of TechnologyChengdu 610059China State Key Laboratory of Ore Deposit Geochemistry Institute of GeochemistryChinese Academy of SciencesGuiyang 550081China

It is well-known that the equilibrium isotope fractionation of mercury(Hg)includes classical massdependent fractionations(MDFs)and nuclear volume effect(nVE)induced mass-independent fractionations(MIFs).However,the effect of the nVE on these kinetic processes is not *** total fractionations(MDFs+nVEinduced MIFs)of several representative Hg-incorporated substances were selected and calculated with ab initio calculations in this work for both equilibrium and kinetic ***-induced MIFs were calculated with scaled contact electron densities at the nucleus through systematic evaluations of their accuracy and errors using the Gaussian09 and DIRAC19 packages(named the electron density scaling method).Additionally,the nVE-induced kinetic isotope effect(KIE)of Hg isotopes are also calculated with this method for several representative Hg oxidation reactions by chlorine *** KIEs for 202 Hg/^(198)Hg ranging from−2.27‰to 0.96‰are *** anomalous^(202)Hg-enriched KIEs(δ^(202)Hg/^(198)Hg=0.83‰,0.94‰,and 0.96‰,)caused by the nVE are observed,which are quite different from the classical view(i.e.,light isotopes react faster than the heavy ones).The electron density scaling method we developed in this study can provide an easier way to calculate the nVE-induced KIEs for heavy isotopes and serve to better understand the fractionation mechanisms of mercury isotope systems.

关键词： nuclear volume effect Kinetic fractionation Hg isotopes Ab initio calculations

Carbon dots confined nanosheets assembled niCO_(2)S_(4)@CDs cross-stacked architecture for enhanced sodium ion storage

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Chinese Chemical Letters 2024年第7期35卷 508-513页

作者： Binyang Qin Mengqi wang Shimei Wu yining Li Chilin Liu Yufei Zhang Haosen Fan School of Chemistry and Chemical Engineering Guangzhou UniversityGuangzhou 510006China

na^(+)batteries(SIBs)have been emerging as the most promising candidate for the next generation of secondary ***,the development of high-performance and cost-effective anode materials is urgently needed for the large-scale applications of *** this study,carbon dots confined bimetallic sulfide(niCO_(2)S_(4))architecture(niCO_(2)S_(4)@CDs)was proposed and synthesized from assembling nanosheets into cross-stacked superstructure and the subsequent confinement of carbon *** novel decussated structure assembly from nanosheets is greatly beneficial to the structure stability of electrode material during the successive charge/discharge ***,the CDs based carbon conductive network can enhance the electrical conductivity for facilitating the easy transport of electron/na^(+).Benefitting from these advantages,niCO_(2)S_(4)@CDs exhibits high-rate performance and an ultralong cycling life in ***,the specific capacity of niCO_(2)S_(4)@CDs can reach the discharge specific capacity as high as 568.9 mAh/g at 0.5 A/g,which can also maintain 302.7 m Ah/g after 750 cycles at 5.0 A/***,ex-situ characterization techniques such as ex-situ XRD and ex-situ XPS were employed to further explore the sodium storage mechanism of the niCO_(2)S_(4)@CDs anode.

关键词： Carbon dots Sodium ion batteries niCo_(2)S_(4)@CDs Cross-stacked architecture Ex-situ XRD and XPS

Intellicise Model Transmission for Semantic Communication in Intelligence-native 6G networks

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China Communications 2024年第7期21卷 95-112页

作者： wang yining Han Shujun Xu Xiaodong Meng Rui Liang Haotai Dong Chen Zhang Ping State Key Laboratory of network and Switching Technology Beijing University of Posts and TelecommunicationsBeijing 100876China Department of Broadband Communication Peng Cheng LaboratoryShenzhen 518066China

To facilitate emerging applications and demands of edge intelligence(EI)-empowered 6G networks,model-driven semantic communications have been proposed to reduce transmission volume by deploying artificial intelligence(AI)models that provide abilities of semantic extraction and ***,it is not feasible to preload all AI models on resource-constrained ***,in-time model transmission becomes a crucial *** paper proposes an intellicise model transmission architecture to guarantee the reliable transmission of models for semantic *** mathematical relationship between model size and performance is formulated by employing a recognition error function supported with experimental *** consider the characteristics of wireless channels and derive the closed-form expression of model transmission outage probability(MTOP)over the Rayleigh ***,we define the effective model accuracy(EMA)to evaluate the model transmission performance of both communication and *** we propose a joint model selection and resource allocation(JMSRA)algorithm to maximize the average EMA of all *** results demonstrate that the average EMA of the JMSRA algorithm outperforms baseline algorithms by about 22%.

关键词： edge intelligence(EI) model transmission outage probability and accuracy resource allocation semantic communication

Catalytic C-H activation-initiated transdiannulation:An oxygen transfer route to ring-fluorinated tricyclic γ-lactones

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Chinese Chemical Letters 2024年第9期35卷 145-149页

作者： Qiuyun Li Yannan Zhu yining wang Gang Qi Wen-Juan Hao Kelu Yan Bo Jiang School of Chemistry and Chemical Engineering Yancheng Institute of TechnologyYancheng 224051China School of Chemistry&Materials Science Jiangsu Normal UniversityXuzhou 221116China Key Laboratory of Life-Organic Analysis of Shandong Province School of Chemistry and Chemical EngineeringQufu Normal UniversityQufu 273165China

Catalytic C–H activation-initiated annulation reactions have emerged as a versatile strategy for the efficient construction of diverse ring structural units and complex cyclic molecules in synthetic ***,we describe a new Rh(Ⅲ)-catalyzed C–H activation-initiated transdiannulation reaction of n,ndimethyl enaminones with gem-difluorocyclopropenes in the presence of H_(2)O,enabling a facile and oxygen transfer access to ring-fluorinated tricyclicγ-lactones with a 6-5 ring-junction tetrasubstituted *** approach features bond-forming/annulation efficiency,good functional group tolerance and complete regioselectivity,which may include a complex process consisting of Rh(Ⅲ)-catalyzed C(sp2)–H activation,cyclic alkene insertion,defluorinated ring-opening of gem-difluorocyclopropane,intramolecular oxygen transfer,intramolecular cyclization and oxidative hydration.

关键词： C-H bond activation Enaminones Transannulation Oxygen transfer Regioselectivity

Multi-scale hash encoding based neural geometry representation

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Computational Visual Media 2024年第3期10卷 453-470页

作者： Zhi Deng Haoyao Xiao yining Lang Hao Feng Juyong Zhang School of Mathematical Sciences University of Science and Technology of ChinaHefei 230026China Alibaba Artificial Intelligence Governance Laboratory Alibaba GroupHangzhou 310017China

Recently, neural implicit function-basedrepresentation has attracted more and more attention,and has been widely used to represent surfacesusing differentiable neural networks. However, surfacereconstruction from point clouds or multi-view imagesusing existing neural geometry representations stillsuffer from slow computation and poor accuracy. Toalleviate these issues, we propose a multi-scale hashencoding-based neural geometry representation whicheffectively and efficiently represents the surface asa signed distance field. Our novel neural networkstructure carefully combines low-frequency Fourierposition encoding with multi-scale hash encoding. Theinitialization of the geometry network and geometryfeatures of the rendering module are accordinglyredesigned. Our experiments demonstrate that theproposed representation is at least 10 times faster forreconstructing point clouds with millions of *** also significantly improves speed and accuracyof multi-view reconstruction. Our code and modelsare available at https://***/Dengzhi-USTC/neural-Geometry-Reconstruction.

关键词： neural geometry representation hash encoding point cloud reconstruction multi-view reconstruction

Sponge as Scaffolds in Bone and Cartilage Tissue Engineering

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CHEMICAL RESEARCH In CHInESE UnIVERSITIES 2024年第5期40卷 786-797页

作者： Luo, Lei Gong, yining Yan, Liang Bu, Yazhong Yanan Univ Yanan 716000 Peoples R China Xi An Jiao Tong Univ Honghui Hosp Dept Spine Surg Xian 710054 Peoples R China Xi An Jiao Tong Univ Inst Med Engn Hlth Sci Ctr Sch Basic Med SciDept Biophys Xian 710061 Peoples R China

In recent years, tissue scaffolds have emerged as a new therapeutic method for bone and cartilage regeneration, with sponge scaffolds gaining increasing attention. Sponge scaffolds possess several favorable characteristics, including appropriate biodegradability, excellent biocompatibility, good processability, powerful osteogenic ability, a unique porous structure, and adjustable pore size and connectivity. These attributes make sponge scaffolds a promising option for bone and cartilage regeneration. However, to date, there is a lack of comprehensive reviews summarizing the use of sponge scaffolds in this field. In this review, our objective is to provide a comprehensive overview of the research progress and development trends of sponge scaffolds. Firstly, we introduce the various materials used for sponge scaffolds. Secondly, we summarize the different preparation methods employed for creating sponge scaffolds. Subsequently, we discuss the functional additives that can be incorporated into the scaffolds. Finally, we present some special structures that can be achieved in sponge scaffolds. Our aim is for this review to offer valuable insights and serve as a comprehensive resource for the design of sponge scaffolds in cartilage and bone regeneration.

关键词： Bone Sponge Scaffold Tissue regeneration COMPOSITE SCAFFOLDS REGEnERATIVE MEDICInE STEM-CELLS FABRICATIOn IRISIn VIVO DIFFEREnTIATIOn PHYSIOLOGY STRATEGIES MEnISCUS

Wafer Defect Map Pattern Recognition Based on Improved Resnet

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Transactions of nanjing University of Aeronautics and Astronautics 2024年第S1期41卷 81-88页

作者： YAnG yining WEI Honglei College of Mechanical Engineering and Automation Dalian Polytechnic UniversityDalian 116034P.R.China

The defect detection of wafers is an important part of semiconductor *** wafer defect map formed from the defects can be used to trace back the problems in the production process and make improvements in the yield of wafer ***,for the pattern recognition of wafer defects,this paper uses an improved Resnet convolutional neural network for automatic pattern recognition of seven common wafer *** the basis of the original Resnet,the squeeze-and-excitation(SE)attention mechanism is embedded into the network,through which the feature extraction ability of the network can be improved,key features can be found,and useless features can be *** addition,the residual structure is improved,and the depth separable convolution is added to replace the traditional convolution to reduce the computational and parametric quantities of the *** addition,the network structure is improved and the activation function is *** experiments show that the precision of the improved Resnet in this paper reaches 98.5%,while the number of parameters is greatly reduced compared with the original model,and has well results compared with the common convolutional neural ***,the method in this paper can be very good for pattern recognition of common wafer defect types,and has certain application value.

关键词： Resnet deep learning machine vision wafer defect map pattern recogniton