Yan Liu

ORCID: 0000-0002-1612-779X
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About
Contact & Profiles
Research Areas
  • Land Use and Ecosystem Services
  • Urban Transport and Accessibility
  • Neuroendocrine regulation and behavior
  • Remote Sensing and Land Use
  • Urban Design and Spatial Analysis
  • Neural Networks and Applications
  • Building materials and conservation
  • Transportation Planning and Optimization
  • Environmental Quality and Pollution
  • Stress Responses and Cortisol
  • Evolutionary Psychology and Human Behavior
  • Housing Market and Economics
  • Urban Green Space and Health
  • Human Mobility and Location-Based Analysis
  • Energy, Environment, Economic Growth
  • Environmental Changes in China
  • Urban, Neighborhood, and Segregation Studies
  • Health disparities and outcomes
  • Advanced Wireless Communication Techniques
  • Advanced Computational Techniques and Applications
  • Machine Learning and ELM
  • Evaluation Methods in Various Fields
  • Air Quality and Health Impacts
  • Economic and Environmental Valuation
  • Fuzzy Logic and Control Systems

Hong Kong University of Science and Technology
2002-2025

University of Hong Kong
2002-2025

Shaanxi Normal University
2019-2025

Environmental Earth Sciences
2017-2024

The University of Queensland
2015-2024

Minzu University of China
2023-2024

Dalian Polytechnic University
2013-2024

Ningxia University
2024

Sichuan Agricultural University
2020-2024

Northwest University
2020-2024

Spatiotemporal forecasting has various applications in neuroscience, climate and transportation domain. Traffic is one canonical example of such learning task. The task challenging due to (1) complex spatial dependency on road networks, (2) non-linear temporal dynamics with changing conditions (3) inherent difficulty long-term forecasting. To address these challenges, we propose model the traffic flow as a diffusion process directed graph introduce Diffusion Convolutional Recurrent Neural...

10.48550/arxiv.1707.01926 preprint EN other-oa arXiv (Cornell University) 2017-01-01

To understand the spatiotemporal evolution and driving mechanisms of vegetation in Yellow River Basin, as well to promote regional ecological construction, we used MODIS NDVI data growth indicator, methods Theil-Sen slope statistics, Mann-Kendall, GeoDetector, correlation analysis, residual trend analysis. The results show that spatial distribution grows stepwise from northwest southeast, leached soil with high organic matter content weak water erosion can make grow better. growing season...

10.1016/j.ecolind.2022.108832 article EN cc-by-nc-nd Ecological Indicators 2022-04-05

Although the role of nucleus accumbens (NAcc) dopamine (DA) in reward learning has been extensively studied, few investigations have addressed its involvement socially relevant information. Here, we examined NAcc DA social attachment "monogamous" prairie vole (<i>Microtus orchrogaster</i>). We first demonstrated that is necessary for formation male voles, because administration haloperidol blocked, whereas apomorphine induced, partner-preference formation. then provided descriptions...

10.1523/jneurosci.23-08-03483.2003 article EN cc-by Journal of Neuroscience 2003-04-15

The prairie vole (Microtus ochrogaster), a monogamous rodent that forms long-lasting pair bonds, has proven useful for the neurobiological study of social attachment. In laboratory, bonds can be assessed by testing partner preference, choice test in which pair-bonded voles regularly prefer their to conspecific stranger. Studies reported here investigate role dopamine D2-like receptors (i.e., D2, D3, and D4 receptors) nucleus accumbens (NAcc) formation preference female voles. Mating...

10.1037//0735-7044.114.1.173 article EN Behavioral Neuroscience 2000-01-01

Abstract A spatial multi-objective land use optimization model defined by the acronym 'NSGA-II-MOLU' or 'non-dominated sorting genetic algorithm-II for of use' is proposed searching optimal scenarios which embrace multiple objectives and constraints extracted from requirements users, as well providing support to planning process. In this application, we took MOLU was initially developed integrate coupled with a revised version algorithm NSGA-II based on specific crossover mutation operators....

10.1080/13658816.2011.570269 article EN International Journal of Geographical Information Science 2011-11-02

10.1016/s0198-9715(02)00069-8 article EN Computers Environment and Urban Systems 2003-03-25

Abstract In the mammalian brain, adult neurogenesis has been found to occur primarily in subventricular zone (SVZ) and dentate gyrus of hippocampus (DG) be influenced by both exogenous endogenous factors. present study, we examined effects male exposure or social isolation on female prairie voles ( Microtus ochrogaster ). Newly proliferated cells labeled a cell proliferation marker, 5‐bromo‐2′‐deoxyuridine (BrdU), were SVZ DG, as well other brain areas, such amygdala, hypothalamus,...

10.1002/neu.10042 article EN Journal of Neurobiology 2002-03-27

Abstract Male prairie voles ( Microtus ochrogaster ) display mating‐induced pair bonding indicated by social affiliation with their female partners and aggression toward unfamiliar conspecifics. In the present study, we characterized associated examined related neuronal activation neurochemical architecture. Males that were pair‐bonded for 2 weeks displayed intense levels of a or male conspecific stranger but maintained high level familiar partners. These interactions induced increases in...

10.1002/cne.21364 article EN The Journal of Comparative Neurology 2007-04-19

After pair-bonding, male prairie voles ( Microtus ochrogaster ) display aggression toward novel females but not their female partner. Here we show that this selective in pair-bonded is associated with increased release of vasopressin (AVP) the anterior hypothalamus (AH). Pharmacological activation AVP-V1a receptors (V1aR) AH induced sexually naive males, whereas V1aR blockade diminished males. Pair-bonded males also showed an density binding compared to counterparts and overexpression AH, by...

10.1073/pnas.0908620106 article EN Proceedings of the National Academy of Sciences 2009-10-27

Spatially explicit and reliable data on poverty is critical for both policy makers researchers. However, such remain scarce particularly in developing countries. Current research limited using environmental from different sources isolation to estimate despite the fact that a complex phenomenon which cannot be quantified either theoretically or practically by one single type. This study proposes random forest regression (RFR) model at 10 km × spatial resolution combining features extracted...

10.3390/rs11040375 article EN cc-by Remote Sensing 2019-02-13

Whereas monthly and annual nighttime light (NTL) composite datasets are being increasingly used to estimate socioeconomic status, use of the National Polar-orbiting Partnership Visible Infrared Imaging Radiometer Suite (NPP-VIIRS) Day/Night Band (DNB) daily data has been limited for detecting assessing impact short-term disastrous events. This study explores application NPP-VIIRS DNB in three types natural disasters: earthquakes, floods, storms. Daily images one month prior 10 days after a...

10.3390/rs10101526 article EN cc-by Remote Sensing 2018-09-23
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