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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  
Projected regional responses of precipitation extremes and their joint probabilistic behaviors to climate change in the upper and middle reaches of Huaihe River Basin, China 期刊论文
ATMOSPHERIC RESEARCH, 2020, 240
作者:  Mou, Shiyu;  Shi, Peng;  Qu, Simin;  Feng, Ying;  Chen, Chen;  Dong, Fengcheng
收藏  |  浏览/下载:21/0  |  提交时间:2020/08/18
CMIP5  Precipitation indices  Spatial distribution  Copula function  Kendall return period  
Inter-comparison of multi-satellites and Aeronet AOD over Indian Region 期刊论文
ATMOSPHERIC RESEARCH, 2020, 240
作者:  Mangla, Rohit;  Indu, J.;  Chakra, S. S.
收藏  |  浏览/下载:15/0  |  提交时间:2020/08/18
AOD  MODIS  MISR  OMI  Aeronet  Seasonal  Spatial correlation  
Spatial distribution of levoglucosan and alternative biomass burning tracers in atmospheric aerosols, in an urban and industrial hot-spot of Central Italy 期刊论文
ATMOSPHERIC RESEARCH, 2020, 239
作者:  Massimi, Lorenzo;  Simonetti, Giulia;  Buiarelli, Francesca;  Di Filippo, Patrizia;  Pomata, Donatella;  Riccardi, Carmela;  Ristorini, Martina;  Astolfi, Maria Luisa;  Canepari, Silvia
收藏  |  浏览/下载:9/0  |  提交时间:2020/08/18
Wood burning  Levoglucosan  Water-soluble element  Spatial variability  PCA  Size distribution  
Dynamic spatial-temporal precipitation distribution models for short-duration rainstorms in Shenzhen, China based on machine learning 期刊论文
ATMOSPHERIC RESEARCH, 2020, 237
作者:  Liu, Yuan-Yuan;  Li, Lei;  Liu, Ye-Sen;  Chan, Pak Wai;  Zhang, Wen-Hai
收藏  |  浏览/下载:10/0  |  提交时间:2020/07/02
Short-duration rainstorm  Machine learning  Locally linear embedding method  Dynamic spatial-temporal distribution  Shenzhen  
A developmental landscape of 3D-cultured human pre-gastrulation embryos 期刊论文
NATURE, 2020, 577 (7791) : 537-+
作者:  Xiang, Lifeng;  Yin, Yu;  Zheng, Yun;  Ma, Yanping;  Li, Yonggang;  Zhao, Zhigang;  Guo, Junqiang;  Ai, Zongyong;  Niu, Yuyu;  Duan, Kui;  He, Jingjing;  Ren, Shuchao;  Wu, Dan;  Bai, Yun;  Shang, Zhouchun;  Dai, Xi;  Ji, Weizhi;  Li, Tianqing
收藏  |  浏览/下载:12/0  |  提交时间:2020/07/03

Our understanding of how human embryos develop before gastrulation, including spatial self-organization and cell type ontogeny, remains limited by available two-dimensional technological platforms(1,2) that do not recapitulate the in vivo conditions(3-5). Here we report a three-dimensional (3D) blastocyst-culture system that enables human blastocyst development up to the primitive streak anlage stage. These 3D embryos mimic developmental landmarks and 3D architectures in vivo, including the embryonic disc, amnion, basement membrane, primary and primate unique secondary yolk sac, formation of anterior-posterior polarity and primitive streak anlage. Using single-cell transcriptome profiling, we delineate ontology and regulatory networks that underlie the segregation of epiblast, primitive endoderm and trophoblast. Compared with epiblasts, the amniotic epithelium shows unique and characteristic phenotypes. After implantation, specific pathways and transcription factors trigger the differentiation of cytotrophoblasts, extravillous cytotrophoblasts and syncytiotrophoblasts. Epiblasts undergo a transition to pluripotency upon implantation, and the transcriptome of these cells is maintained until the generation of the primitive streak anlage. These developmental processes are driven by different pluripotency factors. Together, findings from our 3D-culture approach help to determine the molecular and morphogenetic developmental landscape that occurs during human embryogenesis.


A 3D culture system to model human embryonic development, together with single-cell transcriptome profiling, provides insights into the molecular developmental landscape during human post-implantation embryogenesis.


  
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.


  
Detected climatic change in global distribution of tropical cyclones 期刊论文
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2020, 117 (20) : 10706-10714
作者:  Murakami, Hiroyuki;  Delworth, Thomas L.;  Cooke, William F.;  Zhao, Ming;  Xiang, Baoqiang;  Hsu, Pang-Chi
收藏  |  浏览/下载:6/0  |  提交时间:2020/05/13
tropical cyclones  detection and attribution  large-ensemble simulations  climate change  spatial pattern  
Confinement of atomically defined metal halide sheets in a metal-organic framework 期刊论文
NATURE, 2020, 577 (7788) : 64-+
作者:  Gonzalez, Miguel I.;  Turkiewicz, Ari B.;  Darago, Lucy E.;  Oktawiec, Julia;  Bustillo, Karen;  Grandjean, Fernande;  Long, Gary J.;  Long, Jeffrey R.
收藏  |  浏览/下载:8/0  |  提交时间:2020/07/03

The size-dependent and shape-dependent characteristics that distinguish nanoscale materials from bulk solids arise from constraining the dimensionality of an inorganic structure(1-3). As a consequence, many studies have focused on rationally shaping these materials to influence and enhance their optical, electronic, magnetic and catalytic properties(4-6). Although a select number of stable clusters can typically be synthesized within the nanoscale regime for a specific composition, isolating clusters of a predetermined size and shape remains a challenge, especially for those derived from two-dimensional materials. Here we realize a multidentate coordination environment in a metal-organic framework to stabilize discrete inorganic clusters within a porous crystalline support. We show confined growth of atomically defined nickel(ii) bromide, nickel(ii) chloride, cobalt(ii) chloride and iron(ii) chloride sheets through the peripheral coordination of six chelating bipyridine linkers. Notably, confinement within the framework defines the structure and composition of these sheets and facilitates their precise characterization by crystallography. Each metal(ii) halide sheet represents a fragment excised from a single layer of the bulk solid structure, and structures obtained at different precursor loadings enable observation of successive stages of sheet assembly. Finally, the isolated sheets exhibit magnetic behaviours distinct from those of the bulk metal halides, including the isolation of ferromagnetically coupled large-spin ground states through the elimination of long-range, interlayer magnetic ordering. Overall, these results demonstrate that the pore environment of a metal-organic framework can be designed to afford precise control over the size, structure and spatial arrangement of inorganic clusters.


  
Internal state dynamics shape brainwide activity and foraging behaviour 期刊论文
NATURE, 2020, 577 (7789) : 239-+
作者:  Marques, Joao C.;  Li, Meng;  Schaak, Diane;  Robson, Drew N.;  Li, Jennifer M.
收藏  |  浏览/下载:5/0  |  提交时间:2020/07/03

The brain has persistent internal states that can modulate every aspect of an animal'  s mental experience(1-4). In complex tasks such as foraging, the internal state is dynamic(5-8). Caenorhabditis elegans alternate between local search and global dispersal(5). Rodents and primates exhibit trade-offs between exploitation and exploration(6,7). However, fundamental questions remain about how persistent states are maintained in the brain, which upstream networks drive state transitions and how state-encoding neurons exert neuromodulatory effects on sensory perception and decision-making to govern appropriate behaviour. Here, using tracking microscopy to monitor whole-brain neuronal activity at cellular resolution in freely moving zebrafish larvae(9), we show that zebrafish spontaneously alternate between two persistent internal states during foraging for live prey (Paramecia). In the exploitation state, the animal inhibits locomotion and promotes hunting, generating small, localized trajectories. In the exploration state, the animal promotes locomotion and suppresses hunting, generating long-ranging trajectories that enhance spatial dispersion. We uncover a dorsal raphe subpopulation with persistent activity that robustly encodes the exploitation state. The exploitation-state-encoding neurons, together with a multimodal trigger network that is associated with state transitions, form a stochastically activated nonlinear dynamical system. The activity of this oscillatory network correlates with a global retuning of sensorimotor transformations during foraging that leads to marked changes in both the motivation to hunt for prey and the accuracy of motor sequences during hunting. This work reveals an important hidden variable that shapes the temporal structure of motivation and decision-making.