83,227 research outputs found
wde0924/X-STILT: X-STILT (for Geoscientific Model Development 2018)
No full text<p>This release includes the model code of X-STILT built on STILT (Lin et al., 2003) and STILT-R version 2 (Fasoli et al., 2018) and bookmarks the code version documented in the following manuscript:</p>
<p>Wu, D., Lin, J. C., Oda, T., Ye, X., Lauvaux, T., Yang, E. G., and Kort, E. A.: A Lagrangian Approach Towards Extracting Signals of Urban CO2 Emissions from Satellite Observations of Atmospheric Column CO2 (XCO2): X-Stochastic Time-Inverted Lagrangian Transport model ("X-STILT v1.1"), Geosci. Model Dev. Discuss., <a href="https://doi.org/10.5194/gmd-2018-123">https://doi.org/10.5194/gmd-2018-123</a>, in review, 2018.</p>
<p>Please contact Dien Wu ([email protected]) if you have any questions, comments, and suggestions.</p>
Singaporemma banxiaoensis Lin & Li 2014
No full textSingaporemma banxiaoensis Lin & Li, 2014 Figures 6B–b, 7C Singaporemma banxiaoensis Lin & Li, 2014: 42, figs 4–6, 16C–D, 20A Examined material. Holotype ♂, paratypes 1♂ and 1♀ (IZCAS), CHINA: Guangxi, Pingxiang, Xiashi Town, Xinming Village, Banxiaotun, Banxiao Cave, 22°5.542'N, 106°52.148'E, altitude 175 m, 26 July 2011, X. Wang leg. Diagnosis. Male of this species is similar to S. halongense (Fig. 6A) and S. lenachanae (Fig. 6D), but can be distinguished from the latter two by the narrower, pointed embolic tip (Fig. 6b vs. Fig. 6a, 6d), and by the vestigial white eyespots lacking black ocular base in the both sexes (see Lin & Li, 2014: fig. 4G–H vs. Lin et al., 2017: figs 16E–F, 21A). Female is close to S. takensis sp. n. in having a similar configuration of vulva, but differs from the latter by the inverted triangular inner vulval plate, the wider, shorter central process (Fig. 7C vs. Fig. 5C–D). Description. See Lin & Li, 2014: 42. Distribution. China (Guangxi) (Fig. 10).Published as part of Yan, Fanhu & Lin, Yucheng, 2018, A review of the spider genus Singaporemma (Araneae: Tetrablemmidae), with the description of a new species, pp. 329-346 in Zootaxa 4392 (2) on page 331, DOI: 10.11646/zootaxa.4392.2.6, http://zenodo.org/record/119544
Lin Zexu, Couplet in Running Script
No full textParis of hanging scrolls, ink and gold on waxed paper,Dimension: calligraphy 125.5 x 29 cm; mounting 159 x 36 cmCalligraphy: 道德允符温潤玉, 文章和氣吉祥花。Inscription: 林則徐Artist's Seal: 臣林則徐字少穆印, 身行萬里半天下Lin Zexu (1785-1850, alternative name Shaomu 少穆) was a high-ranking government official who was summoned by Emperor Daoguang to quell the opium problem. Backed by Confucian ideal, Lin carried out a hard campaign against opium. British merchants had been smuggling opium into China for big profit, and hurting the country’s morale as well as its finances. Lin’s strong stance against opium trade angered Britain and led to the Opium War (1840-1842). As a result, Lin was banished to Yili in modern-day Xinjian-Uygur province. In 1850, he was called back to help suppress the Taiping Rebellion, but passed away on the way to his new post. Although the couplet is not dated, it can be assumed that it was executed sometime after 1811, the year Lin Zexu passed the national Civil Service Exam, because one of his seals contains a letter that connotes being an Emperor’s official (chen 臣). The running script in the conservative, orthodox style with copious ink seems appropriate for this elite, dedicated official who was not afraid to stand up against Great Britain.
Reference:
Shinmura Izuru, ed. Kōjien. Fifth edtion. Tokyo: Shinmura Izuru kinen zaidan, 2004.
Spence, Jonathan D. The Search for Modern China. New York: W. W. Norton & Company,
1990
wde0924/X-STILT: X-STILT (for Geoscientific Model Development 2018)
No full text<p>This release includes the latest model code of X-STILT built on STILT (Lin et al., 2003) and STILT-R version 2 (Fasoli et al., 2018) and bookmarks the code version documented in the following manuscript:</p>
<p>Wu, D., Lin, J. C., Fasoli, B., Oda, T., Ye, X., Lauvaux, T., Yang, E. G., and Kort, E. A.: A Lagrangian Approach Towards Extracting Signals of Urban CO2 Emissions from Satellite Observations of Atmospheric Column CO2 (XCO2): X-Stochastic Time-Inverted Lagrangian Transport model ("X-STILT v1"), Geosci. Model Dev. Discuss., <a href="https://doi.org/10.5194/gmd-2018-123">https://doi.org/10.5194/gmd-2018-123</a>, accepted, 2018.</p>
<p><strong>Please refer to the latest updates on <a href="http://github.com/wde0924/X-STILT">https://github.com/uataq/X-STILT</a>. Please contact Dien Wu ([email protected]) if you have any questions, comments, and suggestions.</strong></p>
Newly discovered native orchids of Taiwan (X)
No full textThis report presents three new orchids of Taiwan, i.e., Habenaria alishanensis T.P. Lin & D.M. Huang, Neottia cinsbuensis T.P. Lin & D.M. Huang, and Nephelaphyllum tenuiflorum Blume
uataq/X-STILT: X-STILT
No full text<p>This release includes the model code of X-STILT built on STILT-R version 2 (Fasoli et al., 2018) and STILT (Lin et al., 2003). Important changes from the last version v1.3 include X-STILT code refactoring with STILTv2 being a submodule along with few optimizations and minor changes:</p>
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<p>Refactor transport error code using the latest X-STILT framework (see <code>run_xstilt</code>). Specifically, move the traj-level CO2 calculation (starting with <code>cal.trajfoot.stat()</code>) into <code>before_footprint_xstilt()</code>.</p>
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<p>Minor bugs/typos fixed (leading to very small impact on the calculation), when 1) weighting traj-level foot for trajec with wind error component (<code>wgt.trajec.footv3</code>) and 2) calculating the traj-level CO2 (<code>cal.trajfoot.stat</code>). Specifically, no AK weighting for <code>endpts.trajfoot.r</code>.</p>
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<p>Remove two sections of the code for simplifications, including 1) calculation of lat-int signals or errors in <code>run_xstilt</code> and 2) two scripts for plotting that used to be in ./r/src/plot_scripts.</p>
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<p>Optimize several functions for trajec-level CO2 calculations (<code>*.trajfoot</code>) to reduce the memory needed.</p>
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</ul>
<p>This version bookmarks the code version documented in the following manuscript: Wu, D., Lin, J. C., Fasoli, B., Oda, T., Ye, X., Lauvaux, T., Yang, E. G., and Kort, E. A.: A Lagrangian approach towards extracting signals of urban CO2 emissions from satellite observations of atmospheric column CO2 (XCO2): X-Stochastic Time-Inverted Lagrangian Transport model ("X-STILT v1"), Geosci. Model Dev., 11, 4843-4871, <a href="https://doi.org/10.5194/gmd-11-4843-2018">https://doi.org/10.5194/gmd-11-4843-2018</a>, 2018.</p>
<p>Please refer to https://github.com/uataq/X-STILT for the latest updates. Please contact Dien Wu ([email protected]) if you have any questions, comments, and suggestions.</p>
A comprehensive analysis and resource to use CRISPR-Cas13 for broad-spectrum targeting of RNA viruses. Lin et al.
No full textThe COVID-19 pandemic caused by SARS-CoV-2 and variants has led to significant mortality. We recently reported that an RNA-targeting CRISPR-Cas13 system, termed prophylactic antiviral CRISPR in human (PAC-MAN), offered an antiviral strategy against SARS-CoV-2 and influenza A virus. Here, we expand in silico analysis to use PAC-MAN to target a broad spectrum of human- or livestock-infectious RNA viruses with high specificity, coverage, and predicted efficiency. Our analysis reveals that a minimal set of 14 crRNAs is able to target >90% of human-infectious viruses across 10 RNA virus families. We predict that a set of 5 experimentally validated crRNAs can target new SARS-CoV-2 variant sequences with 0 mismatches. We also build an online resource (crispr-pacman.stanford.edu) to support community use of CRISPR-Cas13 for broad-spectrum RNA virus targeting. Our work provides a new bioinformatic resource for using CRISPR-Cas13 to target diverse RNA viruses in order to facilitate development of CRISPR-based antivirals
A comprehensive analysis and resource to use CRISPR-Cas13 for broad-spectrum targeting of RNA viruses. Lin et al.
No full textThe COVID-19 pandemic caused by SARS-CoV-2 and variants has led to significant mortality. We recently reported that an RNA-targeting CRISPR-Cas13 system, termed prophylactic antiviral CRISPR in human (PAC-MAN), offered an antiviral strategy against SARS-CoV-2 and influenza A virus. Here, we expand in silico analysis to use PAC-MAN to target a broad spectrum of human- or livestock-infectious RNA viruses with high specificity, coverage, and predicted efficiency. Our analysis reveals that a minimal set of 14 crRNAs is able to target >90% of human-infectious viruses across 10 RNA virus families. We predict that a set of 5 experimentally validated crRNAs can target new SARS-CoV-2 variant sequences with 0 mismatches. We also build an online resource (crispr-pacman.stanford.edu) to support community use of CRISPR-Cas13 for broad-spectrum RNA virus targeting. Our work provides a new bioinformatic resource for using CRISPR-Cas13 to target diverse RNA viruses in order to facilitate development of CRISPR-based antivirals
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