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Repetitive traumatic brain injury–induced complement C1–related inflammation impairs long-term hippocampal neurogenesis

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Neural Regeneration Research 2025年第3期20卷 821-835页

作者： Jing Wang Bing Zhang Lanfang Li Xiaomei Tang jinyu Zeng Yige Song Chao Xu Kai Zhao Guoqiang Liu Youming Lu Xinyan Li Kai Shu Department of Neurosurgery Tongji HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhanHubei ProvinceChina Department of Neurosurgery Shanxi Bethune HospitalShanxi Academy of Medical SciencesTongji Shanxi HospitalThird Hospital of Shanxi Medical UniversityTaiyuanShanxi ProvinceChina Department of Pathophysiology School of Basic Medicine and Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanHubei ProvinceChina Institute for Brain Research Wuhan Center of Brain ScienceHuazhong University of Science and TechnologyWuhanHubei ProvinceChina Department of Graduate Student Chongqing Medical UniversityChongqingChina Department of Basic Medicine School of Medical ScienceHubei University for NationalitiesEnshiHubei ProvinceChina Department of Anatomy School of Basic Medicine and Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanHubei ProvinceChina

Repetitive traumatic brain injury impacts adult neurogenesis in the hippocampal dentate gyrus,leading to long-term cognitive ***,the mechanism underlying this neurogenesis impairment remains *** this study,we established a male mouse model of repetitive traumatic brain injury and performed long-term evaluation of neurogenesis of the hippocampal dentate gyrus after repetitive traumatic brain *** results showed that repetitive traumatic brain injury inhibited neural stem cell proliferation and development,delayed neuronal maturation,and reduced the complexity of neuronal dendrites and *** with repetitive traumatic brain injuryalso showed deficits in spatial memory ***,following repetitive traumatic brain injury,neuroinflammation was enhanced in the neurogenesis microenvironment where C1q levels were increased,C1q binding protein levels were decreased,and canonical Wnt/β-catenin signaling was *** inhibitor of C1 reversed the long-term impairment of neurogenesis induced by repetitive traumatic brain injury and improved neurological *** findings suggest that repetitive traumatic brain injury–induced C1-related inflammation impairs long-term neurogenesis in the dentate gyrus and contributes to spatial memory retrieval dysfunction.

关键词： complement C1 dendrite dentate gyrus hippocampus neural stem cell neurogenesis neuroinflammation neurological function neuron traumatic brain injury

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Catalytic reduction of water pollutants:knowledge gaps,lessons learned,and new opportunities

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Frontiers of Environmental Science & Engineering 2023年第2期17卷 173-188页

作者： Jinyong Liu jinyu Gao Department of Chemical&Environmental Engineering University of California-RiversideRiversideCA 92521USA

In this paper,we discuss the previous advances,current challenges,and future opportunities for the research of catalytic reduction of water *** present five case studies on the development of palladium-based catalysts for nitrate,chlorate,and perchlorate reduction with hydrogen gas under ambient *** emphasize the realization of new functionalities through the screening and design of catalytic metal sites,including(i)platinum group metal(PGM)nanoparticles,(ii)the secondary metals for improving the reaction rate and product selectivity of nitrate reduction,(iii)oxygen-atom-transfer metal oxides for chlorate and perchlorate reduction,and(iv)ligand-enhanced coordination complexes for substantial activity *** also highlight the facile catalyst preparation approach that brought significant convenience to catalyst *** on our own studies,we then discuss directions of the catalyst research effort that are not immediately necessary or desirable,including(1)systematic study on the downstream aspects of under-developed catalysts,(2)random integration with hot concepts without a clear rationale,and(3)excessive and decorative *** further address some general concerns regarding using H2 and PGMs in the catalytic ***,we recommend future catalyst development in both“fundamental”and“applied”*** purpose of this perspective is to remove major misconceptions about reductive catalysis research and bring back significant innovations for both scientific advancements and engineering applications to benefit environmental protection.

关键词： Molybdenum Rhenium Rhodium Ruthenium Catalyst Support Bromate

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Incorporating Variation and Quality of the Underlying Effects in Meta-Analysis

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Journal of Systems Science & Complexity 2022年第6期35卷 2381-2397页

作者： FU jinyu LIN Jinguan School of Mathematics Southeast UniversityNanjing 210096China School of Statistics and Data Science Nanjing Audit UniversityNanjing 211815China

This paper proposes a model to further explore the effects of the quality information and variation of the underlying effects on the summary effect measure in meta-analysis.A shape parameter is used in this model to quantify the asymmetry of the effect sizes of studies that are *** of the proposed model parameters is carried out by the Bayesian MCMC *** of the resultant estimates are examined in the simulations and empirical case with data obtained from a total of 22 meta-analyses taken from three different designs.A conclusion would be drawn that it is advisable to take the proposed model,when quality information becomes available,in particular with a situation where the underlying effects approximately follow a normal ***,however,the quality information is absent,the skew-normal distribution for random effect model should be adopted.

关键词： Bayesian estimation heterogeneity overall effect size quality score skew-normal distribution

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Recent Progresses in Deep Learning Based Acoustic Models

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IEEE/CAA Journal of Automatica Sinica 2017年第3期4卷 396-409页

作者： Dong Yu jinyu Li Tencent AI Lab Tencent Microsoft AI and Research Microsoft

In this paper,we summarize recent progresses made in deep learning based acoustic models and the motivation and insights behind the surveyed *** first discuss models such as recurrent neural networks(RNNs) and convolutional neural networks(CNNs) that can effectively exploit variablelength contextual information,and their various combination with other *** then describe models that are optimized end-to-end and emphasize on feature representations learned jointly with the rest of the system,the connectionist temporal classification(CTC) criterion,and the attention-based sequenceto-sequence translation *** further illustrate robustness issues in speech recognition systems,and discuss acoustic model adaptation,speech enhancement and separation,and robust training *** also cover modeling techniques that lead to more efficient decoding and discuss possible future directions in acoustic model research.

关键词： Attention model convolutional neural network(CNN) connectionist temporal classification(CTC) deep learning(DL) long short-term memory(LSTM) permutation invariant training speech adaptation speech processing speech recognition speech separation

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Integrative cancer genomics： models, algorithms and analysis

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Frontiers of Computer Science 2017年第3期11卷 392-406页

作者： jinyu CHEN Shihua ZHANG National Center for Mathematics and Interdisciplinary Sciences Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing 100190 China

In the past decade, the remarkable development of high-throughput sequencing technology accelerates the generation of large amount of multiple dimensional data such as genomic, epigenomic, transcriptomic and proteomic data. The comprehensive data make it possible to understand the underlying mechanisms of biology and disease such as cancer systematically. It also provides great challenges for computa- tional cancer genomics due to the complexity, scale and noise of data. In this article, we aim to review the recent develop- ments and progresses of computational models, algorithms and analysis of complex data in cancer genomics. These topics of this paper include the identification of driver mutations, the genetic heterogeneity analysis, genomic markers discovery of drug response, pan-cancer scale analysis and so on.

关键词： cancer genomics model algorithm data integration bioinformatics computational biology

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Machine learning-based direct solver for one-to-many problems on temporal shaping of relativistic electron beams

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Frontiers of physics 2022年第6期17卷 15-24页

作者： jinyu Wan Yi Jiao Key Laboratory of Particle Acceleration Physics and Technology Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China University of Chinese Academy of Sciences Beijing 100049China China Spallation Neutron Source Dongguan 523803China

To control the temporal profile of a relativistic electron beam to meet requirements of various advanced scientific applications like free-electronlaser and plasma wakefield acceleration,a widely-used technique is to manipulate the dispersion terms which turns out to be one-to-many *** to their intrinsic one-to-many property,current popular stochastic optimization approaches on temporal shaping may face the problems of long computing time or sometimes suggesting only one *** we propose a real-time solver for one-to-many problems of temporal shaping,with the aid of a semi-supervised machine learning method,the conditional generative adversarial network(CGAN).We demonstrate that the CGAN solver can learn the one-to-many dynamics and is able to accurately and quickly predict the required dispersion terms for different custom temporal *** machine learning-based solver is expected to have the potential for wide applications to one-to-many problems in other scientific fields.

关键词： beam shaping one-to-many problem machine learning

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PREVENTING RUMOR SPREADING ON SMALL-WORLD NETWORKS

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Journal of Systems Science & Complexity 2011年第3期24卷 449-456页

作者： jinyu HUANG Xiaogang JIN AI Institute School of Computer Science Zhejiang University Hangzhou 310027 China Ningbo Institute of Technology Zhejiang University Ningbo 315100 China

Since the spreading of harmful rumors can deeply endanger a society, it is valuable to investigate strategies that can efficiently prevent hazardous rumor propagation. To conduct this investigation, the authors modify the SIR model to describe rumor propagation on networks, and apply two major immunization strategies, namely, the random immunization and the targeted immunization to the rumor model on a small-world network. The authors find that when the average degree of the network is small, both two strategies are effective and when the average degree is large, neither strategy is efficient in preventing rumor propagation. In the latter case, the authors propose a new strategy by decreasing the credibility of the rumor and applying either the random or the targeted immunization at the same time. Numerical simulations indicate that this strategy is effective in preventing rumor spreading on the small-world network with large average degree.

关键词： Complex networks credibility immunization strategy rumor propagation

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Acoustic emission characterization methods of damage modes identification on carbon fiber twill weave laminate

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Science China(Technological Sciences) 2013年第9期56卷 2228-2237页

作者： HAN WenQin ZHOU jinyu School of Material Engineering Jiangsu University of Technology

In order to get a deep understanding of composite failure mechanisms, the new advanced signal processing methodologies are established for the analysis of the large number of acoustic emission (AE) data obtained from the quasi-static tension test of carbon fiber twill weave composite. For this purpose, AE signals have been collected and post-processed for tension test, and are analyzed with three signal processing methods: Empirical Mode Decomposition (EMD), Hilbert-Huang Transform (HHT) and modified energy entropy algorithm. AE signals can be decomposed into a set of Intrinsic Mode Functions (IMF) components, results from this study reveal that the peak frequency of IMF components based on Fast Fourier Transform (FFT) corresponds to different damage mechanisms of composite. HHT of AE signals can clearly express the frequency distribution of IMF component in time-scale in different damage stages, and can calculate accurate instantaneous frequency for damage modes recognition. The energy entropy based on EMD is introduced to act as a new relevant descriptor of composite damage modes in order to improve the characterization and the discrimination of the damage mechanisms.

关键词： carbon fiber twill weave composite acoustic emission EMD HHT energy entropy

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Influence of confi ning pressure and impact loading on mechanical properties of amphibolite and sericite-quartz schist

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Earthquake Engineering and Engineering Vibration 2014年第2期13卷 215-222页

作者： Liu Shi Xu jinyu Lv Xiaocong Department of Airfi eld and Building Engineering Air Force Engineering University College of Mechanics and Civil Architecture Northwest Polytechnic University

In order to investigate the dynamic mechanical properties of amphibolite and sericite-quartz schist under confi ning pressure, two rocks are subjected to impact loadings with different strain rates and confi ning pressures by using split Hopkinson pressure bar equipment with a confi ning pressure device. Based on the experimental results, the stress-strain curves are analyzed and the effects of confi ning pressure and strain rates on the dynamic compressive strength, peak strain and failure mode are summarized. The results show that:(1) The characteristics of two rocks in the ascent stage of the stressstrain curve are basically the same, but in the descent stage, the rocks gradually show plastic deformation characteristics as the confi ning pressure increases.(2) The dynamic compressive strength and peak strain of two rocks increase as the strain rate increases and the confi ning pressure effects are obvious.(3) Due to the effect of confi ning pressure, the normal stress on the damage surface of the rock increases correspondingly, the bearing capacity of the crack friction exceeds the material cohesion and the slippage of the fractured rock is controlled, which all lead to the compression and shear failure mode of rock. The theoretical analysis and experimental methods to study the dynamic failure mode and other related characteristics of rock are useful in developing standards for engineering practice.

关键词： rock mechanics SHPB with confi ning pressure device confi ning pressure strain rate impact loading

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Optimal hardware/software co-synthesis for core-based SoC desi gns

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Journal of Systems Engineering and Electronics 2006年第2期17卷 402-409页

作者： Zhan jinyu Xiong Guangze Coll. of Computer Science and Engineering Univ. of Electronic Science and Technology of China Chengdu 610054 P.R. China

A hardware/software co-synthesis method is presented for SoC designs consisting of both hardware IP cores and software components on a graph-theoretic formulation. Given a SoC integrated with a set of functions and a set of performance factors, a core for each function is selected from a set of alternative IP cores and software components, and optimal partitions is found in a way to evenly balance the performance factors and to ultimately reduce the overall cost, size, power consumption and runtime of the core-based SoC. The algorithm formulates IP cores and components into the corresponding mathematical models, presents a graph-theoretic model for finding the optimal partitions of SoC design and transforms SoC hardware/software co-synthesis problem into finding optimal paths in a weighted, directed graph. Overcoming the three main deficiencies of the traditional methods, this method can work automatically, evaluate more performance factors at the same time and meet the particularity of SoC designs. At last, the approach is illustrated that is practical and effective through partitioning a practical system.

关键词： SoC co-synthesis partition IP core software component optimal path.

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