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| 1 | Pros and Cons: Autophagy in Acute Spinal Cord Injury显示文摘Autophagy plays an important role in the development and pathogenesis of various diseases. It can be induced by a variety of events such as hypoxia, nutrient-starvation, and mechanical damage. Many neurological disorders such Parkinson’s disease, Alzheimer’s disease, amyotrophic lateral sclerosis, Huntington’s disease, cerebral ischemia, and acute spinal cord injury (ASCI), are closely related to autophagy. However, therapeutic strategies to manipulate autophagy have not yet been fully deciphered due to the limited knowledge of the molecular mechanisms underlying autophagy in these disorders. | Zheng Li Tianshi Chen Yuanwu Cao Xiaoxing Jiang Haodong Lin Jian Zhang Zixian Chen | 2019 | Neuroscience Bulletin2019，35，5： | 6 |
| 2 | A survey of neural network accelerators显示文摘 | Zhen LI Yuqing WANG Tian ZHI Tianshi CHEN | 2017 | Frontiers of Computer Science2017，11，5： | 4 |
| 3 | Unveiling the Effects of Interchain Hydrogen Bonds on Solution Gelation and Mechanical Properties of Diarylfluorene-Based Semiconductor Polymers显示文摘The intrinsically rigid and limited strain of most conjugated polymers has encouraged us to optimize the extensible properties of conjugated polymers.Herein,learning from the hydrogen bonds in glucose,which were facilitated to the toughness enhancement of cellulose,we introduced interchain hydrogen bonds to polydiarylfluorene by amide-containing side chains.Through tuning the copolymerization ratio,we systematically investigated their influence on the hierarchical condensed structures,rheology behavior,tensile performances,and optoelectronic properties of conjugated polymers.Compared to the reference copolymers with a low ratio of amide units,copolymers with 30%and 40%amide units present a feature of the shearthinning process that resembled the non-Newtonian fluid,which was enabled by the interchain dynamic hydrogen bonds.Besides,we developed a practical and universal method for measuring the intrinsic mechanical properties of conjugated polymers.We demonstrated the significant impact of hydrogen bonds in solution gelation,material crystallization,and thin film stretchability.Impressively,the breaking elongation for P4 was even up to~30%,which confirmed the partially enhanced film ductility and toughness due to the increased amide groups.Furthermore,polymer light-emitting devices(PLEDs)based on these copolymers presented comparable performances and stable electroluminescence(EL).Thin films of these copolymers also exhibited random laser emission with the threshold as low as 0.52μJ/cm^(2),suggesting the wide prospective application in the field of flexible optoelectronic devices. | Lubing Bai Yamin Han Chen Sun Xiang An Chuanxin Wei Wei Liu Man Xu Lili Sun Ning Sun Mengna Yu He Zhang Qi Wei Chunxiang Xu Yingguo Yang Tianshi Qin Linghai Xie Jinyi Lin Wei Huang | 2020 | Research2020，，1： | 2 |
| 4 | Senp2 regulates adipose lipid storage by de-SUMOylation of Setdbl显示文摘 | Quan Zheng Ying Cao Yalan Chen Jiqiu Wang Qiuju Fan Xian Huang Yiping Wang Tianshi Wang Xiuzhi Wang Jiao Ma Jinke Cheng | 2018 | Journal of Molecular Cell Biology2018，10，3： | 2 |
| 5 | Recent Advances in Two-Dimensional Magnets:Physics and Devices towards Spintronic Applications显示文摘The emergence of low-dimensional nanomaterials has brought revolutionized development of magnetism,as the size effect can significantly influence the spin arrangement.Since the first demonstration of truly two-dimensional magnetic materials(2DMMs)in 2017,a wide variety of magnetic phases and associated properties have been exhibited in these 2DMMs,which offer a new opportunity to manipulate the spin-based devices efficiently in the future.Herein,we focus on the recent progress of 2DMMs and heterostructures in the aspects of their structural characteristics,physical properties,and spintronic applications.Firstly,the microscopy characterization of the spatial arrangement of spins in 2D lattices is reviewed.Afterwards,the optical probes in the light-matter-spin interactions at the 2D scale are discussed.Then,particularly,we systematically summarize the recent work on the electronic and spintronic devices of 2DMMs.In the section of electronic properties,we raise several exciting phenomena in 2DMMs,i.e.,long-distance magnon transport,field-effect transistors,varying magnetoresistance behavior,and(quantum)anomalous Hall effect.In the section of spintronic applications,we highlight spintronic devices based on 2DMMs,e.g.,spin valves,spin-orbit torque,spin field-effect transistors,spin tunneling field-effect transistors,and spin-filter magnetic tunnel junctions.At last,we also provide our perspectives on the current challenges and future expectations in this field,which may be a helpful guide for theorists and experimentalists who are exploring the optical,electronic,and spintronic properties of 2DMMs. | Vertikasari PNingrum Bowen Liu Wei Wang Yao Yin Yi Cao Chenyang Zha Hongguang Xie Xiaohong Jiang Yan Sun Sichen Qin Xiaolong Chen Tianshi Qin Chao Zhu Lin Wang Wei Huang | 2020 | Research2020，，1： | 2 |
| 6 | Global robust stabilization of feedforward systems with uncertainties显示文摘This paper studies the global robust stabilization problem for a class of feedforward systems that is subject to both dynamic and time-varying static uncertainties.A small gain theorem-based bottom-up recursive design is developed for constructing a nested saturation control law.At each recursion,two versions of small gain theorem with restrictions are employed to establish the global attractiveness and local stability of the closed-loop system at the equilibrium point,respectively. | Tianshi CHEN Jie HUANG | 2010 | 控制理论与应用(英文版)2010，8，3： | 1 |
| 7 | MW-DLA:a dynamic bit width deep learning accelerator显示文摘Deep learning algorithms are the basis of many artificial intelligence applications.Those algorithms are both computationally intensive and memory intensive,making them difficult to deploy on embedded systems.Thus various deep learning accelerators(DLAs)are proposed and applied to achieve better performance and lower power consumption.However,most deep learning accelerators are unable to support multiple data formats.This research proposes the MW-DLA,a deep learning accelerator supporting dynamic configurable data-width.This work analyzes the data distribution of different data types in different layers and trains a typical network with per-layer representation.As a result,the proposed MW-DLA achieves 2X performance and more than 50%memory requirement for AlexNet with less than 5.77%area overhead. | 李震 Zhi Tian Liu Enhe Liu Shaoli Chen Tianshi | 2020 | High Technology Letters2020，26，2： | 1 |
| 8 | Comments on “State estimation forlinear systems with state equality constraints ”显示文摘 | Chen Tianshi | 2010 | IEEE Transactions on Automatic Control2010，46，8： | 1 |
| 9 | A small gain approach to global stabilization of nonlinear feedforward systems with input unmodeled dynamics显示文摘 | Tianshi Chen Jie Huang | 2010 | Automatica2010，，6： | 1 |
| 10 | Analysis of computational time of simple estimation of distribution algorithms显示文摘 | Chen Tianshi Tang Ke Chen Guoliang | 2010 | IEEE Transactions on Evolutionary Computation2010，14，1： | 1 |
| 11 | Comments on“State estimation for linear systems with state equality constraints”显示文摘 | Chen Tianshi | 2010 | IEEETransactions on Automatic Control2010，46，： | 1 |
| 12 | Analysis of computational time of simple estimation of distribution algorithms显示文摘 | Chen Tianshi Tang Ke Chen Guoliang | 2010 | IEEE Trans on Evolutionary Computation2010，14，1： | 1 |
| 13 | Analysis of computational time of simple estimation of distribution algorithms 显示文摘 | CI-IEN TIANSHI TANG KE CHEN GUOLIANG | 2010 | IEEE Transactions on Evolutionary Computation2010，14，1： | 1 |
| 14 | Compressive Behavior of Wood-based 2-D Lattice Structure under Multivariable Analysis显示文摘In order to optimize the out-of-plane compression performance of the wood structure,wood-based 2-D lattice structures were designed and manufactured with oriented strand board as the panel and birch round stick as the core by using a simple insert-glue method.In this experiment,the different thicknesses of the upper and lower panels,the different shavings arrangement directions of the upper and lower panels and the different configurations of the specimens were used to analyze the compression performance of the specimens under multivariable conditions.Through the combination of experimental test and theoretical analysis,we analyzed and compared different failure types of the structure and multiple compression parameters.The results showed that the shavings arrangement direction of the panel has a more important influence on the whole specimen than the thickness of the panel,especially the transverse shavings of the panel can withstand greater shear stress than the longitudinal shavings for a specimen. | Yanxia FENG Mengyuan WANG Shaochen HU Lili JIA Jihe CHEN Tianshi FENG Yingcheng HU | 2019 | Journal of Bioresources and Bioproducts2019，4，2： | 0 |
| 15 | Stealth-ACK:stealth transmissions of NoC acknowledgements显示文摘Network-on-Chip(No C) is a promising replacement of bus architecture due to its better scalability.In state-of-the-art No Cs, each packet contains several fixed-length flits, which facilitates allocations of network resources but brings in many unused bits. In this paper, we propose a novel technique called Stealth-ACK to effectively address the above problem. Stealth-ACK leverages unused bits in head flits of non-ACK packets to carry and stealthily transmit ACK information. Such stealth transmissions of ACK information effectively reduce not only the amount of dedicated ACK packets on No C, but also the number of unused bits in head flits of non-ACK packets, which significantly reduces wastes on No C bandwidth. Experimental results show that Stealth-ACK averagely increases the throughput of 16 × 16 2-D mesh No C by 11.9%, and averagely reduces the No C latency by 34.8% on application traces of SPLASH-2. Moreover, Stealth-ACK only requires trivial hardware modification to basic router architectures, which incurs negligible power consumption and area cost. | Jinhua TAO Shi QIU Shaoli LIU Tianshi CHEN Rui MAO | 2017 | Science China(Information Sciences)2017，60，9： | 0 |
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