GSTDTAP

浏览/检索结果: 共121条,第1-10条 帮助

已选(0)清除 条数/页:   排序方式:
美国NOAA资助3400万美元改善野火天气研究 快报文章
气候变化快报,2024年第3期
作者:  刘燕飞
Microsoft Word(37Kb)  |  收藏  |  浏览/下载:541/0  |  提交时间:2024/02/05
fire weather  observing systems  fire detection  
怀俄明州大学创建具有更好探测能力的地震系统模型 快报文章
地球科学快报,2021年第20期
作者:  王晓晨
Microsoft Word(16Kb)  |  收藏  |  浏览/下载:380/0  |  提交时间:2021/10/25
Machine learning model  Earthquake Detection and Location  
Improved Himawari-8/AHI Radiance Data Assimilation With a Double Cloud Detection Scheme 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2020, 125 (13)
作者:  Li, Xin;  Zou, Xiaolei;  Zhuge, Xiaoyong;  Zeng, Mingjian;  Wang, Ning;  Tang, Fei
收藏  |  浏览/下载:15/0  |  提交时间:2020/08/18
data assimilation  satellite infrared imager  cloud detection  
NASA基于机器学习开发云检测的新方法 快报文章
地球科学快报,2020年第12期
作者:  刘燕飞
Microsoft Word(13Kb)  |  收藏  |  浏览/下载:346/0  |  提交时间:2020/06/24
NASA  Machine learning  Cloud detection  methods  
Human influence on frequency of temperature extremes 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (6)
作者:  Hu, Ting;  Sun, Ying;  Zhang, Xuebin;  Min, Seung-Ki;  Kim, Yeon-Hee
收藏  |  浏览/下载:9/0  |  提交时间:2020/08/18
temperature extremes  detection and attribution  anthropogenic forcing  natural forcing  CMIP6 models  HadEX3 dataset  
Evaluation and comparison of the precipitation detection ability of multiple satellite products in a typical agriculture area of China 期刊论文
ATMOSPHERIC RESEARCH, 2020, 236
作者:  Peng, Fanchen;  Zhao, Shuhe;  Chen, Cheng;  Cong, Dianmin;  Wang, Yamei;  Ouyang, Hongda
收藏  |  浏览/下载:8/0  |  提交时间:2020/07/02
IMERG VO6B  Multiple satellite precipitation  Evaluation  Precipitation detection capability  Huanghuaihai Plain  
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  
Field-resolved infrared spectroscopy of biological systems 期刊论文
NATURE, 2020, 577 (7788) : 52-+
作者:  Pupeza, Ioachim;  Huber, Marinus;  Trubetskov, Michael;  Schweinberger, Wolfgang;  Hussain, Syed A.;  Hofer, Christina;  Fritsch, Kilian;  Poetzlberger, Markus;  Vamos, Lenard;  Fill, Ernst;  Amotchkina, Tatiana;  Kepesidis, Kosmas V.;  Apolonski, Alexander;  Karpowicz, Nicholas;  Pervak, Vladimir;  Pronin, Oleg;  Fleischmann, Frank;  Azzeer, Abdallah;  Zigman, Mihaela;  Krausz, Ferenc
收藏  |  浏览/下载:14/0  |  提交时间:2020/07/03

The proper functioning of living systems and physiological phenotypes depends on molecular composition. Yet simultaneous quantitative detection of a wide variety of molecules remains a challenge(1-8). Here we show how broadband optical coherence opens up opportunities for fingerprinting complex molecular ensembles in their natural environment. Vibrationally excited molecules emit a coherent electric field following few-cycle infrared laser excitation(9-12), and this field is specific to the sample'  s molecular composition. Employing electro-optic sampling(10,12-15), we directly measure this global molecular fingerprint down to field strengths 10(7) times weaker than that of the excitation. This enables transillumination of intact living systems with thicknesses of the order of 0.1 millimetres, permitting broadband infrared spectroscopic probing of human cells and plant leaves. In a proof-of-concept analysis of human blood serum, temporal isolation of the infrared electric-field fingerprint from its excitation along with its sampling with attosecond timing precision results in detection sensitivity of submicrograms per millilitre of blood serum and a detectable dynamic range of molecular concentration exceeding 10(5). This technique promises improved molecular sensitivity and molecular coverage for probing complex, real-world biological and medical settings.


  
A cold, massive, rotating disk galaxy 1.5 billion years after the Big Bang 期刊论文
NATURE, 2020, 581 (7808) : 269-+
作者:  Poplawski, Gunnar H. D.;  Kawaguchi, Riki;  Van Niekerk, Erna;  Lu, Paul;  Mehta, Neil;  Canete, Philip;  Lie, Richard;  Dragatsis, Ioannis;  Meves, Jessica M.;  Zheng, Binhai;  Coppola, Giovanni;  Tuszynski, Mark H.
收藏  |  浏览/下载:59/0  |  提交时间:2020/07/03

Massive disk galaxies like the Milky Way are expected to form at late times in traditional models of galaxy formation(1,2), but recent numerical simulations suggest that such galaxies could form as early as a billion years after the Big Bang through the accretion of cold material and mergers(3,4). Observationally, it has been difficult to identify disk galaxies in emission at high redshift(5,6) in order to discern between competing models of galaxy formation. Here we report imaging, with a resolution of about 1.3 kiloparsecs, of the 158-micrometre emission line from singly ionized carbon, the far-infrared dust continuum and the near-ultraviolet continuum emission from a galaxy at a redshift of 4.2603, identified by detecting its absorption of quasar light. These observations show that the emission arises from gas inside a cold, dusty, rotating disk with a rotational velocity of about 272 kilometres per second. The detection of emission from carbon monoxide in the galaxy yields a molecular mass that is consistent with the estimate from the ionized carbon emission of about 72 billion solar masses. The existence of such a massive, rotationally supported, cold disk galaxy when the Universe was only 1.5 billion years old favours formation through either cold-mode accretion or mergers, although its large rotational velocity and large content of cold gas remain challenging to reproduce with most numerical simulations(7,8).


A massive rotating disk galaxy was formed a mere 1.5 billion years after the Big Bang, a surprisingly short time after the origin of the Universe.


  
Massively multiplexed nucleic acid detection with Cas13 期刊论文
NATURE, 2020, 582 (7811) : 277-+
作者:  Mahato, Biraj;  Kaya, Koray Dogan;  Fan, Yan;  Sumien, Nathalie;  Shetty, Ritu A.;  Zhang, Wei;  Davis, Delaney;  Mock, Thomas;  Batabyal, Subrata;  Ni, Aiguo;  Mohanty, Samarendra;  Han, Zongchao;  Farjo, Rafal;  Forster, Michael J.;  Swaroop, Anand;  Chavala, Sai H.
收藏  |  浏览/下载:62/0  |  提交时间:2020/07/03

CRISPR-based nucleic acid detection is used in a platform that can simultaneously detect 169 human-associated viruses in multiple samples, providing scalable, multiplexed pathogen detection aimed at routine surveillance for public health.


The great majority of globally circulating pathogens go undetected, undermining patient care and hindering outbreak preparedness and response. To enable routine surveillance and comprehensive diagnostic applications, there is a need for detection technologies that can scale to test many samples(1-3)while simultaneously testing for many pathogens(4-6). Here, we develop Combinatorial Arrayed Reactions for Multiplexed Evaluation of Nucleic acids (CARMEN), a platform for scalable, multiplexed pathogen detection. In the CARMEN platform, nanolitre droplets containing CRISPR-based nucleic acid detection reagents(7)self-organize in a microwell array(8)to pair with droplets of amplified samples, testing each sample against each CRISPR RNA (crRNA) in replicate. The combination of CARMEN and Cas13 detection (CARMEN-Cas13) enables robust testing of more than 4,500 crRNA-target pairs on a single array. Using CARMEN-Cas13, we developed a multiplexed assay that simultaneously differentiates all 169 human-associated viruses with at least 10 published genome sequences and rapidly incorporated an additional crRNA to detect the causative agent of the 2020 COVID-19 pandemic. CARMEN-Cas13 further enables comprehensive subtyping of influenza A strains and multiplexed identification of dozens of HIV drug-resistance mutations. The intrinsic multiplexing and throughput capabilities of CARMEN make it practical to scale, as miniaturization decreases reagent cost per test by more than 300-fold. Scalable, highly multiplexed CRISPR-based nucleic acid detection shifts diagnostic and surveillance efforts from targeted testing of high-priority samples to comprehensive testing of large sample sets, greatly benefiting patients and public health(9-11).