Results 41 to 50 of about 1,198,610 (285)

Inferring spatial and signaling relationships between cells from single cell transcriptomic data. [PDF]

, 2020
Single-cell RNA sequencing (scRNA-seq) provides details for individual cells; however, crucial spatial information is often lost. We present SpaOTsc, a method relying on structured optimal transport to recover spatial properties of scRNA-seq data by ...
Cang, Zixuan, Nie, Qing
core  

Dynamical Downscaling of CO2 in 2016 Over the Contiguous United States Using WRF‐VPRM, a Weather‐Biosphere‐Online‐Coupled Model

Journal of Advances in Modeling Earth Systems, 2020
Ecosystem function (particularly CO2 fluxes and the subsequent atmospheric transport), synoptic‐scale weather (e.g., midlatitude cyclones), and interactions between ecosystems and the atmosphere can be investigated using a weather‐biosphere‐online ...
Xiao‐Ming Hu, Sean Crowell, Qingyu Wang, Yao Zhang, Kenneth J. Davis, Ming Xue, Xiangming Xiao, Berrien Moore, Xiaocui Wu, Yonghoon Choi, Joshua P. DiGangi   +10 more
doaj   +1 more source

Seasonal variation of underwater sound propagation in the Beibu Gulf

Frontiers in Marine Science
Variations in the underwater sound speed significantly influence sound propagation in the ocean, thereby impacting both underwater navigation systems and a substantial portion of marine organisms reliant on sound. This study utilizes cruise data from the
Feihong Zeng, Feihong Zeng, Lingling Xie, Lingling Xie, Lingling Xie, Mingming Li, Mingming Li, Mingming Li, Qiang Li, Qiang Li, Qiang Li, Simeng Liu, Simeng Liu   +12 more
doaj   +1 more source

On the effect of preferential sampling in spatial prediction [PDF]

Environmetrics, 2012
The choice of the sampling locations in a spatial network is often guided by practical demands. In particular, many locations are preferentially chosen to capture high values of a response, for example, air pollution levels in environmental monitoring. Then, model estimation and prediction of the exposure surface become biased because of the selective ...
Gelfand, Alan, Sahu, Sujit K., Holland, David   +2 more
openaire   +4 more sources

Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction

, 2018
Taxi demand prediction is an important building block to enabling intelligent transportation systems in a smart city. An accurate prediction model can help the city pre-allocate resources to meet travel demand and to reduce empty taxis on streets which ...
Gong, Pinghua, Jia, Yitian, Ke, Jintao, Li, Zhenhui, Lu, Siyu, Tang, Xianfeng, Wu, Fei, Yao, Huaxiu, Ye, Jieping   +8 more
core   +1 more source

Prediction Modeling and Driving Factor Analysis of Spatial Distribution of CO₂ Emissions from Urban Land in the Yangtze River Economic Belt, China

Land
In recent years, China’s urbanization has accelerated, significantly impacting ecosystems and the carbon balance due to changes in urban land use. The spatial patterns of CO2 emissions from urban land are essential for devising strategies to mitigate ...
Chao Wang, Jianing Wang, Le Ma, Mingming Jia, Jiaying Chen, Zhenfeng Shao, Nengcheng Chen   +6 more
doaj   +1 more source

Site Selection via Learning Graph Convolutional Neural Networks: A Case Study of Singapore

Remote Sensing, 2022
Selection of store sites is a common but challenging task in business practices. Picking the most desirable location for a future store is crucial for attracting customers and becoming profitable.
Tian Lan, Hao Cheng, Yi Wang, Bihan Wen
doaj   +1 more source

Spatial facilitation predicted with end-stopped spatial filters

Vision Research, 1997
We examined the role of putative end-stopped spatial filters in determining spatial facilitation associated with a line target flanked by square inducers. Results obtained in normal and amblyopic observers were well predicted by end-stopping and other receptive field features of end-stopped spatial filters revealed in a modified Westheimer paradigm ...
Yu, Cong, Levi, Dennis M.
openaire   +2 more sources

Digging Deeper into Egocentric Gaze Prediction

, 2019
This paper digs deeper into factors that influence egocentric gaze. Instead of training deep models for this purpose in a blind manner, we propose to inspect factors that contribute to gaze guidance during daily tasks. Bottom-up saliency and optical flow
Borji, Ali, Kannala, Juho, Rahtu, Esa, Tavakoli, Hamed R.   +3 more
core   +1 more source

Statistical Downscaling of Future Temperature in Tianshan Mountains Based on Batch Gradient Descent Nonlinear Regression

Earth and Space Science
Temperature is a key variable in alpine regions such as the Tianshan Mountains, which affects the population and economic development in lowlands by regulating the melting of snow and glaciers.
Wen‐Jie Zhang, Zhi‐Yuan He, Meng‐Tian Fan, Bing‐Cheng Wan, Su‐Ning Xiao, Bo‐Tao Zhou   +5 more
doaj   +1 more source