205,077 research outputs found
Data and code for TFlux measurement associated with the publication: PCP-dependent polarized mechanics in the cortex of individual cells during convergent extension
This dataset contains MATLAB scripts and example demonstration files for the TFlux measurement in the publication: Weng, S., Devitt, C. C., Nyaoga, B. M., Alvarado, J. & Wallingford, J. B. PCP-dependent polarized mechanics in the cortex of individual cells during convergent extension. Dev. Biol. 523, 59–67 (2025). https://doi.org/10.1016/j.ydbio.2025.04.007 </a
Bastid (M.), Bergère (M.-C), Chesneaux (J.) : Histoire de la Chine, t. II : de la guerre franco-chinoise à la fondation du parti communiste chinois, 1885-1921
Cheong Weng Eang. Bastid (M.), Bergère (M.-C), Chesneaux (J.) : Histoire de la Chine, t. II : de la guerre franco-chinoise à la fondation du parti communiste chinois, 1885-1921. In: Revue française d'histoire d'outre-mer, tome 61, n°222, 1er trimestre 1974. pp. 186-187
Utetes breviculus Chen & Weng 2005
Utetes breviculus Chen & Weng, 2005 Utetes breviculus Chen & Weng [as “Geng”], 2005: 156, figs 73A–D, 206–207 (examined). Type material. Holotype, ♂ (FAFU) “[China:] Ningxia, Mt. Liupan, Xixia, 2.viii.2001, Quanxiu Shi ”. Comparative diagnosis. Differs from the other species from NW China by its larger size (length of body of ♂ approx. 5 mm; less than 4 mm in other species), colour of the wing membrane (brown instead of subhyaline) and the presence of vein m-cu in the hind wing (absent in other species). Distribution. China (Ningxia). Biology. Unknown.Published as part of Tan, Jiang-Li, Achterberg, Cornelis Van, Zhang, Ruo-Nan & Wu, Jia-Xuan, 2018, Five new species of Utetes Foerster (Hymenoptera, Braconidae, Opiinae) from NW China, pp. 525-541 in Zootaxa 4402 (3) on page 530, DOI: 10.11646/zootaxa.4402.3.6, http://zenodo.org/record/120975
Support of wind resource modeling using Earth observation – a European perspective on the status and future options
This contribution outlines the potential of remote sensing data to support wind resource modelling especially through improved input parameterization regarding the state and characterization of the land surface. Wind speed and wind flow is strongly influenced by land surface properties. Three different remote sensing based parameters can help to characterize wind resources: a) land cover and land use; b) digital elevation models (DEM); c) phenological information. Earth observation data are used already in wind resource models to some extent. However, the new advances and especially the possibilities which open up through the Copernicus Sentinel satellites are not considered yet. Opportunities include seasonal mapping of land cover which will allow a precise quantification of vegetation cover which has a direct influence on heat fluxes. The use of newest DEMs like Tandem-X with a 12 m resolution allows detecting also small landscape feature like rows of hedges and trees. Further, elevation models derived by either photogrammetric approaches or airborne laser scanning can further refine the information. By using EO-based information on the surface, e.g. roughness, and in-situ wind measurements, realistic wind fields for sufficiently large areas can be derived by considering also shadowing effects and wind shear
Enqi Weng, Media Perceptions of Religious Changes in Australia: Of Dominance and Diversity
Book review of Media Perceptions of Religious Changes in Australia: Of Dominance and Diversity by Enqi Weng, Routledge, 2019, ISBN 978036719257
Microresonator-based spectral translation of a gain-switched semiconductor laser comb
Abstract not availableWenle Weng, Aleksandra Kaszubowska-Anandarajah, Prince M. Anandarajah, and Andre N. Luite
Generating high-temporal and spatial resolution tir image data
Remote sensing imagery to monitor global biophysical dynamics requires the availability of thermal infrared data at high temporal and spatial resolution because of the rapid development of crops during the growing season and the fragmentation of most agricultural landscapes. Conversely, no single sensor meets these combined requirements. Data fusion approaches offer an alternative to exploit observations from multiple sensors, providing data sets with better properties. A novel spatio-temporal data fusion model based on constrained algorithms denoted as multisensor multiresolution technique (MMT) was developed and applied to generate TIR synthetic image data at both temporal and spatial high resolution. Firstly, an adaptive radiance model is applied based on spectral unmixing analysis of. TIR radiance data at TOA (top of atmosphere) collected by MODIS daily 1-km and Landsat - TIRS 16-day sampled at 30-m resolution are used to generate synthetic daily radiance images at TOA at 30-m spatial resolution. The next step consists of unmixing the 30 m (now lower resolution) images using the information about their pixel land-cover composition from co-registered images at higher spatial resolution. In our case study, TIR synthesized data were unmixed to the Sentinel 2 MSI with 10 m resolution. The constrained unmixing preserves all the available radiometric information of the 30 m images and involves the optimization of the number of landcover classes and the size of the moving window for spatial unmixing. Results are still being evaluated, with particular attention for the quality of the data streams required to apply our approach.Optical and Laser Remote Sensin
Dr. Duane M. Jackson, Morehouse College, July 2011
This video is a conversation with Dr. Duane M. Jackson. Dr. Jackson talks about his paper, "Recall and the Serial Position Effect: The Role of Primacy and Recency on Accounting Students' Performance." Jackie Daniel, AUC Woodruff Library, is the interviewer
Publisher's Note: Electronic Structure and Optical Properties of Layered Perovslotes Sr2MO4 (M=Ti, V, Cr, and Mn): An ab initio study [Phys. Rev. B 74, 205112 (2006)]
学術論文 (Article)See Also: Original Article: Hongming Weng, Y. Kawazoe, Xiangang Wan, and Jinming Dong, Electronic structure and optical properties of layered perovskites Sr2MO4 (M=Ti, V, Cr, and Mn): An ab initio study, Phys. Rev. B 74, 205112 (2006).journal articl
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