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| 1 | Lateral Hypothalamic Area Glutamatergic Neurons and Their Projections to the Lateral Habenula Modulate the Anesthetic Potency of Isoflurane in Mice显示文摘The lateral hypothalamic area(LHA)plays a pivotal role in regulating consciousness transition,in which orexinergic neurons,GABAergic neurons,and melanin-concentrating hormone neurons are involved.Glutamatergic neurons have a large population in the LHA,but their anesthesia-related effect has not been explored.Here,we found that genetic ablation of LHA glutamatergic neurons shortened the induction time and prolonged the recovery time of isoflurane anesthesia in mice.In contrast,chemogenetic activation of LHA glutamatergic neurons increased the time to anesthesia and decreased the time to recovery.Optogenetic activation of LHA glutamatergic neurons during the maintenance of anesthesia reduced the burst suppression pattern of the electroencephalogram(EEG)and shifted EEG features to an arousal pattern.Photostimulation of LHA glutamatergic projections to the lateral habenula(LHb)also facilitated the emergence from anesthesia and the transition of anesthesia depth to a lighter level.Collectively,LHA glutamatergic neurons and their projections to the LHb regulate anesthetic potency and EEG features. | Shiyi Zhao Rui Li Huiming Li Sa Wang Xinxin Zhang Dan Wang Juan Guo Huihui Li Ao Li Tingting Tong Haixing Zhong Qianzi Yang Hailong Dong | 2021 | Neuroscience Bulletin2021，37，7： | 5 |
| 2 | The next detectors for gravitational wave astronomy显示文摘This paper focuses on the next detectors for gravitational wave astronomy which will be required after the current ground based detectors have completed their initial observations, and probably achieved the first direct detection of gravitational waves. The next detectors will need to have greater sensitivity, while also enabling the world array of detectors to have improved angular resolution to allow localisation of signal sources. Sect. 1 of this paper begins by reviewing proposals for the next ground based detectors,and presents an analysis of the sensitivity of an 8 km armlength detector, which is proposed as a safe and cost-effective means to attain a 4-fold improvement in sensitivity. The scientific benefits of creating a pair of such detectors in China and Australia is emphasised. Sect. 2 of this paper discusses the high performance suspension systems for test masses that will be an essential component for future detectors, while sect. 3 discusses solutions to the problem of Newtonian noise which arise from fluctuations in gravity gradient forces acting on test masses. Such gravitational perturbations cannot be shielded, and set limits to low frequency sensitivity unless measured and suppressed. Sects. 4 and 5 address critical operational technologies that will be ongoing issues in future detectors. Sect. 4 addresses the design of thermal compensation systems needed in all high optical power interferometers operating at room temperature. Parametric instability control is addressed in sect. 5. Only recently proven to occur in Advanced LIGO, parametric instability phenomenon brings both risks and opportunities for future detectors. The path to future enhancements of detectors will come from quantum measurement technologies. Sect. 6 focuses on the use of optomechanical devices for obtaining enhanced sensitivity, while sect. 7 reviews a range of quantum measurement options. | BLAIR David JU Li ZHAO ChunNong WEN LinQing MIAO HaiXing CAI RongGen GAO JiangRui LIN XueChun LIU Dong WU Ling-An ZHU ZongHong HAMMOND Giles PAIK Ho Jung FAFONE Viviana ROCCHI Alessio BLAIR Carl MA YiQiu QIN JiaYi PAGE Michael | 2015 | Science China(Physics,Mechanics & Astronomy)2015，58，12： | 3 |
| 3 | Multi-objective Optimisation Design of Water Distribution Systems:Comparison of Two Evolutionary Algorithms显示文摘In order to compare two advanced multi-objective evolutionary algorithms,a multi-objective water distribution problem is formulated in this paper.The multi-objective optimization has received more attention in the water distribution system design.On the one hand the cost of water distribution system including capital,operational,and maintenance cost is mostly concerned issue by the utilities all the time;on the other hand improving the performance of water distribution systems is of equivalent importance,which is often conflicting with the previous goal.Many performance metrics of water networks are developed in recent years,including total or maximum pressure deficit,resilience,inequity,probabilistic robustness,and risk measure.In this paper,a new resilience metric based on the energy analysis of water distribution systems is proposed.Two optimization objectives are comprised of capital cost and the new resilience index.A heuristic algorithm,speedconstrained multi-objective particle swarm optimization( SMPSO) extended on the basis of the multi-objective particle swarm algorithm,is introduced to compare with another state-of-the-art heuristic algorithm,NSGA-II.The solutions are evaluated by two metrics,namely spread and hypervolume.To illustrate the capability of SMPSO to efficiently identify good designs,two benchmark problems( two-loop network and Hanoi network) are employed.From several aspects the results demonstrate that SMPSO is a competitive and potential tool to tackle with the optimization problem of complex systems. | Haixing Liu Jing Lu Ming Zhao Yixing Yuan | 2016 | Journal of Harbin Institute of Technology(New Series)2016，23，3： | 3 |
| 4 | HSNR:A Network Representation Learning Algorithm Using Hierarchical Structure Embedding显示文摘Vertices in the same group tend to connect densely,and usually share common attributes.Groups of different sizes reflect the relations of vertices in different ranges,and also reflect the features of different orders of the network.In this work,we propose a novel network representation learning algorithm by introducing group features of vertices of different orders to learn more discriminative network representations,named as network representation learning algorithm using Hierarchical structure embedding(HSNR).HSNR algorithm firstly constructs hierarchical relations of network structures of different orders based on greedy algorithm and modularity.In order to introduce hierarchical features into the network representation learning model,HSNR algorithm then introduces the idea of multi-relational modeling from knowledge representation,and converts the hierarchical relations into the triplet form between vertices.Finally,HSNR proposes a joint learning model embedding vertex triplets into the network representations.The experimental results show that the HSRN algorithm presented has an excellent performance in network vertex classification task on three real-world datasets. | YE Zhonglin ZHAO Haixing ZHU Yu XIAO Yuzhi | 2020 | Chinese Journal of Electronics2020，29，6： | 3 |
| 5 | DeepHGNN:A Novel Deep Hypergraph Neural Network显示文摘With the development of deep learning,graph neural networks(GNNs)have yielded substantial results in various application fields.GNNs mainly consider the pair-wise connections and deal with graph-structured data.In many real-world networks,the relations between objects are complex and go beyond pair-wise.Hypergraph is a flexible modeling tool to describe intricate and higher-order correlations.The researchers have been concerned how to develop hypergraph-based neural network model.The existing hypergraph neural networks show better performance in node classification tasks and so on,while they are shallow network because of oversmoothing,over-fitting and gradient vanishment.To tackle these issues,we present a novel deep hypergraph neural network(DeepHGNN).We design DeepHGNN by using the technologies of sampling hyperedge,residual connection and identity mapping,residual connection and identity mapping bring from graph convolutional neural networks.We evaluate DeepHGNN on two visual object datasets.The experiments show the positive effects of DeepHGNN,and it works better in visual object classification tasks. | LIN Jingjing YE Zhonglin ZHAO Haixing FANG Lusheng | 2022 | Chinese Journal of Electronics2022，31，5： | 2 |
| 6 | Changes of plant species diversity and biomass with reclaimed marshes restoration显示文摘Wetland restoration had been implemented for more than two decades in Sanjiang Plain,Northeast China.To assess the restoration effi ciency of wetland vegetation,we investigated plants composition of community,plant species diversity and aboveground biomass of restored sites in a chronosequence of restoration(1,2,3,6,8,11,15 and 25 years)in the Sanjiang Nature Reserve.As comparison,we also investigated the same factors in a cropland and a natural marsh adjacent to the restored sites.The results showed that wetland plant species can invade quickly after croplands were abandoned when there were suitable hydrology conditions.On the early stage of the restoration,weeds were main plant species in the restored sites.Wetland species appeared at the same time but diff ered from the dominant species from the adjacent natural marshes.Common native wetland species could dominance the community after 3-year restoration.Species richness and diversity increased on the early stage,and then decreased to the similar level of the natural marsh with the extension of restoration.Plant biomass could restore easier than the species composition and diversity.Our results indicated that plant species composition and diversity of abandoned reclaimed wetlands can restore gradually by natural succession in Sanjiang Plain.However,25-year restoration site had similarity index of only 56%with the natural marsh,which revealed that two decades are not enough for complete restoration of vegetation. | Xin Jin Xiaoxin Sun Haixing Li Danhui Zhao Dong Li Lei Wang Xiuling Man | 2021 | Journal of Forestry Research2021，32，1： | 2 |
| 7 | On the Fibonacci Numbers of Trees显示文摘 | Zhao Haixing Li Xueliang | 2005 | The Fibonacci Quartly2005，53，： | 1 |
| 8 | The Chromaticity of Certain Complete Multipartite Graphs 显示文摘 | Zhao Haixing Li Xueliang Liu Ruying | 2004 | Graphs and Combinatorics2004，20，： | 1 |
| 9 | A complete solution to a conjecture on chromatic uniqueness of :omplete tripartite graphs显示文摘 | Liu Ruying Zhao Haixing Ye Chengfu | 2004 | Discrete Mathematics2004，289，： | 1 |
| 10 | On the Minimum Real Roots of the Adjoint Polynomial of a Graph显示文摘 | Zhao Haixing Liu Ruying | 2009 | Discrete Math2009，309，： | 1 |
| 11 | On the minimum real roots of the a-polynomials and chromatic uniqueness of graphs 显示文摘 | Zhao Haixing Li Xueliang Zhang Shenggui | 2004 | Discrete Math2004，281，： | 1 |
| 12 | On the Fibonacci Numbers of Trees 显示文摘 | Zhao Haixing Li Xueliang | 2005 | The Fibonaeci Quartly2005，53，2： | 1 |
| 13 | On the Fibonacci numbers of trees显示文摘 | Li Xueliang | 2005 | The Fibonacci Quarterly2005，53，： | 1 |
| 14 | The chromaticity of certain complete Multipartite graphs显示文摘 | Zhao Haixing Li xueliang Liu Ruying Ye Chenfu | 2004 | Graphs and Combinatorics2004，，20： | 1 |
| 15 | On the minimum real roots of the adjoint polynomial of a graph显示文摘 | Zhao Haixing Liu Ruying | 2009 | Discrete Mathematics2009，309，： | 1 |
| 16 | Text-enhanced network representation learning显示文摘Network representation learning called NRL for short aims at embedding various networks into low-dimensional continuous distributed vector spaces.Most existing representation learning methods focus on learning representations purely based on the network topology.i.e.,the linkage relationships between network nodes,but the nodes in lots of networks may contain rich text features,which are beneficial to network analysis tasks,such as node classification,link prediction and so on.In this paper,we propose a novel network representation learning model,which is named as Text-Enhanced Network Representation Learning called TENR for short,by introducing text features of the nodesto learn more discriminative network representations,which come from joint learning of both the network topology and text features,and include common influencing factors of both parties.In the experiments,we evaluate our proposed method and other baseline methods on the task of node classihication.The experimental results demonstrate that our method outperforms other baseline methods on three real-world datasets. | Yu ZHU Zhonglin YE Haixing ZHAO Ke ZHANG | 2020 | Frontiers of Computer Science2020，14，6： | 1 |
| 17 | Chromaticity of paths显示文摘 | ZHAO HAIXING HUO BOFENG LIU RUYING | 2000 | Math Study2000，，33： | 1 |
| 18 | The Chromaticity of Certain Complete Mulfipartite Graphs显示文摘 | Zhao Haixing Li Xueliang Liu Ruying | 2004 | Graphs and Combinatorics2004，，20： | 1 |
| 19 | On the character of the matching polynomial and its applications to characterization of graphs显示文摘 | Zhao Haixing Liu Ruying | 2001 | JCMCC2001，37，： | 1 |
| 20 | Determination of andrographolide, deoxyandrographolide and neoandrographolide in the Chinese herb andrographis paniculata by MECC显示文摘 | Zhao Jingxiang Yang C-engliang Liu Haixing | 2002 | Phytochemical analysis2002，13，： | 1 |
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