GSTDTAP

浏览/检索结果: 共77条,第1-10条 帮助

已选(0)清除 条数/页:   排序方式:
BGS公布其对英国石灰资源空间分析的最新研究进展 快报文章
地球科学快报,2021年第21期
作者:  张树良
Microsoft Word(15Kb)  |  收藏  |  浏览/下载:746/0  |  提交时间:2021/11/10
lime resources  spatial analysis  agricultural production system  BGS  
Spatial distribution of urban greenspace in response to urban development from a multi-scale perspective 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (6)
作者:  Wang, Jing;  Zhou, Weiqi;  Wang, Jia;  Yu, Wenjuan
收藏  |  浏览/下载:11/0  |  提交时间:2020/08/18
urban ecology  urban greenspace  urban expansion  multiscale analysis  spatial distribution  dynamic  China  
The single-cell pathology landscape of breast cancer 期刊论文
NATURE, 2020, 578 (7796) : 615-+
作者:  Fouda, Abdelrahman Y.
收藏  |  浏览/下载:25/0  |  提交时间:2020/07/03

Single-cell analyses have revealed extensive heterogeneity between and within human tumours(1-4), but complex single-cell phenotypes and their spatial context are not at present reflected in the histological stratification that is the foundation of many clinical decisions. Here we use imaging mass cytometry(5) to simultaneously quantify 35 biomarkers, resulting in 720 high-dimensional pathology images of tumour tissue from 352 patients with breast cancer, with long-term survival data available for 281 patients. Spatially resolved, single-cell analysis identified the phenotypes of tumour and stromal single cells, their organization and their heterogeneity, and enabled the cellular architecture of breast cancer tissue to be characterized on the basis of cellular composition and tissue organization. Our analysis reveals multicellular features of the tumour microenvironment and novel subgroups of breast cancer that are associated with distinct clinical outcomes. Thus, spatially resolved, single-cell analysis can characterize intratumour phenotypic heterogeneity in a disease-relevant manner, with the potential to inform patient-specific diagnosis.


A single-cell, spatially resolved analysis of breast cancer demonstrates the heterogeneity of tumour and stroma tissue and provides a more-detailed method of patient classification than the current histology-based system.


  
Dualities and non-Abelian mechanics 期刊论文
NATURE, 2020, 577 (7792) : 636-+
作者:  Song, Xinyang;  Sun, Ximei;  Oh, Sungwhan F.;  Wu, Meng;  Zhang, Yanbo;  Zheng, Wen;  Geva-Zatorsky, Naama;  Jupp, Ray;  Mathis, Diane;  Benoist, Christophe;  Kasper, Dennis L.
收藏  |  浏览/下载:13/0  |  提交时间:2020/07/03

Dualities-mathematical mappings between different systems-can act as hidden symmetries that enable materials design beyond that suggested by crystallographic space groups.


Dualities are mathematical mappings that reveal links between apparently unrelated systems in virtually every branch of physics(1-8). Systems mapped onto themselves by a duality transformation are called self-dual and exhibit remarkable properties, as exemplified by the scale invariance of an Ising magnet at the critical point. Here we show how dualities can enhance the symmetries of a dynamical matrix (or Hamiltonian), enabling the design of metamaterials with emergent properties that escape a standard group theory analysis. As an illustration, we consider twisted kagome lattices(9-15), reconfigurable mechanical structures that change shape by means of a collapse mechanism(9). We observe that pairs of distinct configurations along the mechanism exhibit the same vibrational spectrum and related elastic moduli. We show that these puzzling properties arise from a duality between pairs of configurations on either side of a mechanical critical point. The critical point corresponds to a self-dual structure with isotropic elasticity even in the absence of spatial symmetries and a twofold-degenerate spectrum over the entire Brillouin zone. The spectral degeneracy originates from a version of Kramers'  theorem(16,17) in which fermionic time-reversal invariance is replaced by a hidden symmetry emerging at the self-dual point. The normal modes of the self-dual systems exhibit non-Abelian geometric phases(18,19) that affect the semiclassical propagation of wavepackets(20), leading to non-commuting mechanical responses. Our results hold promise for holonomic computation(21) and mechanical spintronics by allowing on-the-fly manipulation of synthetic spins carried by phonons.


  
Decoding the development of the human hippocampus 期刊论文
NATURE, 2020, 577 (7791) : 531-+
作者:  Zhong, Suijuan;  Ding, Wenyu;  Sun, Le;  Lu, Yufeng;  Dong, Hao;  Fan, Xiaoying;  Liu, Zeyuan;  Chen, Ruiguo;  Zhang, Shu;  Ma, Qiang;  Tang, Fuchou;  Wu, Qian;  Wang, Xiaoqun
收藏  |  浏览/下载:13/0  |  提交时间:2020/07/03

The hippocampus is an important part of the limbic system in the human brain that has essential roles in spatial navigation and the consolidation of information from short-term memory to long-term memory(1,2). Here we use single-cell RNA sequencing and assay for transposase-accessible chromatin using sequencing (ATAC-seq) analysis to illustrate the cell types, cell linage, molecular features and transcriptional regulation of the developing human hippocampus. Using the transcriptomes of 30,416 cells from the human hippocampus at gestational weeks 16-27, we identify 47 cell subtypes and their developmental trajectories. We also identify the migrating paths and cell lineages of PAX6(+) and HOPX+ hippocampal progenitors, and regional markers of CA1, CA3 and dentate gyrus neurons. Multiomic data have uncovered transcriptional regulatory networks of the dentate gyrus marker PROX1. We also illustrate spatially specific gene expression in the developing human prefrontal cortex and hippocampus. The molecular features of the human hippocampus at gestational weeks 16-20 are similar to those of the mouse at postnatal days 0-5 and reveal gene expression differences between the two species. Transient expression of the primate-specific gene NBPF1 leads to a marked increase in PROX1(+) cells in the mouse hippocampus. These data provides a blueprint for understanding human hippocampal development and a tool for investigating related diseases.


Single-cell RNA sequencing is used to catalogue and explore the developmental trajectories of more than 30,000 cells in the developing human hippocampus.


  
Comparative analysis of spatial variation in forest fire drivers between boreal and subtropical ecosystems in China 期刊论文
FOREST ECOLOGY AND MANAGEMENT, 2019, 454
作者:  Su, Zhangwen;  Tigabu, Mulualem;  Cao, Qianqian;  Wang, Guangyu;  Hu, Haiqing;  Guo, Futao
收藏  |  浏览/下载:12/0  |  提交时间:2020/02/17
Fire drivers  Fire prevention  Geographically weighted regression  Geospatial analysis  Spatial analysis  
Stochastic Analysis of the Soil Water Content Standard Deviation-Mean Value Relationships: On the Physical Significance of the Critical Mean Soil Water Content 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (12) : 10588-10601
作者:  Russo, David
收藏  |  浏览/下载:6/0  |  提交时间:2020/02/16
unsaturated flow  spatial heterogeneity  constitutive relations  stochastic first-order analysis  numerical simulations  
Nonstationary influence of the North Atlantic tropical cyclones on the spatio-temporal variability of the eastern United States precipitation extremes 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2019
作者:  Dhakal, Nirajan;  Jain, Shaleen
收藏  |  浏览/下载:6/0  |  提交时间:2020/02/17
cluster analysis  extreme daily precipitation  nonstationary  principal component analysis  spatial and temporal variability  tropical cyclones  
Dynamical downscaling over the complex terrain of southwest South America: present climate conditions and added value analysis 期刊论文
CLIMATE DYNAMICS, 2019, 53 (11) : 6745-6767
作者:  Bozkurt, Deniz;  Rojas, Maisa;  Pablo Boisier, Juan;  Rondanelli, Roberto;  Garreaud, Rene;  Gallardo, Laura
收藏  |  浏览/下载:10/0  |  提交时间:2020/02/17
Model evaluation  Temporal-spatial scale analysis  Climate variability  Chile  Patagonia  Atacama Desert  
A spatial shift-share decomposition of energy consumption changes in China 期刊论文
ENERGY POLICY, 2019, 135
作者:  Lin, Gang;  Jiang, Dong;  Fu, Jingying;  Wang, Di;  Li, Xiang
收藏  |  浏览/下载:7/0  |  提交时间:2020/02/17
Energy consumption  Spatial analysis  Neighborhood effects  Spatial weight matrix