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| 1 | The KiSS-1 receptor GPR54 is essential for the development of the murine reproductive system显示文摘 | Sandrine Funes Joseph A Hedrick Galya Vassileva Lisa Markowitz Susan Abbondanzo Andrei Golovko Shijun Yang Frederick J Monsma Eric L Gustafson | 2003 | Biochemical and Biophysical Research Communications2003，，： | 2 |
| 2 | Fractal characteristics of shales from a shale gas reservoir in the Sichuan Basin,China显示文摘 | YANG Feng ZHANG Funing LIU Huiqing | 2014 | Fuel2014，115，： | 1 |
| 3 | UAV Frequency-based Crowdsensing Using Grouping Multi-agent Deep Reinforcement Learning显示文摘Mobile CrowdSensing(MCS)is a promising sensing paradigm that recruits users to cooperatively perform sensing tasks.Recently,unmanned aerial vehicles(UAVs)as the powerful sensing devices are used to replace user participation and carry out some special tasks,such as epidemic monitoring and earthquakes rescue.In this paper,we focus on scheduling UAVs to sense the task Point-of-Interests(PoIs)with different frequency coverage requirements.To accomplish the sensing task,the scheduling strategy needs to consider the coverage requirement,geographic fairness and energy charging simultaneously.We consider the complex interaction among UAVs and propose a grouping multi-agent deep reinforcement learning approach(G-MADDPG)to schedule UAVs distributively.G-MADDPG groups all UAVs into some teams by a distance-based clustering algorithm(DCA),then it regards each team as an agent.In this way,G-MADDPG solves the problem that the training time of traditional MADDPG is too long to converge when the number of UAVs is large,and the trade-off between training time and result accuracy could be controlled flexibly by adjusting the number of teams.Extensive simulation results show that our scheduling strategy has better performance compared with three baselines and is flexible in balancing training time and result accuracy. | Cui ZHANG En WANG Funing YANG Yong jian YANG Nan JIANG | 2023 | 计算机科学2023，50，2： | 0 |
| 4 | A Biological Perspective of TLR8 Signaling in Host Defense and Inflammation显示文摘Toll-like receptors(TLRs)play important roles in immune responses against pathogens and tumors.Recently,TLR8 has gained attention because of its association with multiple inflammatory diseases,infections and antitumor responses.TLR8 senses the degradation products of single-stranded RNA from microbes and self-released RNA to induce type I interferons,inflammatory gene expression and nucleotide-binding and oligomerization domain–,leucine-rich repeat–and pyrin domain–containing protein 3(NLRP3)inflammasome activation.So far,the understanding of TLR8 function in vivo is still limited,partially because of lacking a reliable rodent animal model.Murine Tlr8 cannot sense the ligands of human TLR8.In mammals,TLR8 distinguishes live bacteria from dead bacteria to regulate the magnitude of immune responses.Recently,TLR8 has been reported to recognize severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)RNA to induce inflammatory responses,suggesting that TLR8 participates in coronavirus disease 2019(COVID-19).In this review,we discuss the mechanism of ligand recognition by TLR8,TLR8-mediated signaling pathways and signaling crosstalk between TLR8 and other molecules,and untangle the contribution of TLR8 to inflammatory diseases,infectious diseases,antitumor immunity and vaccination. | Funing Bian Dong Yan Xiaopeng Wu Chao Yang | 2023 | Infectious Microbes & Diseases2023，5，2： | 0 |
| 5 | Maximum-Profit Advertising Strategy Using Crowdsensing Trajectory Data显示文摘Out-door billboard advertising plays an important role in attracting potential customers.However,whether a customer can be attracted is influenced by many factors,such as the probability that he/she sees the billboard,the degree of his/her interest,and the detour distance for buying the product.Taking the above factors into account,we propose advertising strategies for selecting an effective set of billboards under the advertising budget to maximize commercial profit.By using the data collected by Mobile Crowdsensing(MCS),we extract potential customers’implicit information,such as their trajectories and preferences.We then study the billboard selection problem under two situations,where the advertiser may have only one or multiple products.When only one kind of product needs advertising,the billboard selection problem is formulated as the probabilistic set coverage problem.We propose two heuristic advertising strategies to greedily select advertising billboards,which achieves the expected maximum commercial profit with the lowest cost.When the advertiser has multiple products,we formulate the problem as searching for an optimal solution and adopt the simulated annealing algorithm to search for global optimum instead of local optimum.Extensive experiments based on three real-world data sets verify that our proposed advertising strategies can achieve the superior commercial profit compared with the state-of-the-art strategies. | LOU Kaihao YANG Yongjian YANG Funing ZHANG Xingliang | 2021 | ZTE Communications2021，19，2： | 0 |
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