An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
This paper takes an empirical study to examine and evaluate different effects on earnings management of four kinds of Executive power by taking the samples of 216 listed enterprises with equity incentive plan.Executive power was decomposed into four types: organization structure power, expert power, prestige power and ownership power.This paper finds that Executive structure power, ownership power and expert power have positive effects on earnings management, while prestige power has negative effects on earnings management.Because of the differences in the direction of effects from different Executive powers on earnings management, these effects offset each other, leading to unstable effects on earnings management of overall executive power both in direction and in degree.
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
Abstract Linqing brick is very famous in Chinese history. In 2008, "The manufacturing process of Linqing brick" was selected as the intangible cultural heritage list in China. Now in China, how to identify the origin of Linqing brick is an important issue in archeology and architectural history research. It can be used to verify some assumptions about the history of heritage buildings which cannot be solved only by historical documents. It can also be used to study the history of Linqing brick. Field portable X-ray fluorescence spectrometry (FPXRF) can quickly and non-destructively determine the main elements and concentrations of Linqing brick in situ. It may be significant for identifying the origin of Linqing brick. But FPXRF could be affected by many factors and it can only measure the element concentrations of surface. Which method we use can provide the most reliable data is an important issue. The aim of this study was to verify the reliability of FPXRF and to systematically evaluate different influential factors on measurement precision and accuracy, which can help with scientific advice for its use. We set up four experiments to determine the influential factors and assess reliability by cross validation using ICP-OES. Finally, we ensured that the FPXRF was reliable and determined the scientific advice required to use it to measure the main elements and concentrations of Linqing brick.
Hyperspectral (HS) pansharpening aims to fuse high-spatial-resolution panchromatic (PAN) images with low-spatial-resolution hyperspectral (LRHS) images to generate high-spatial-resolution hyperspectral (HRHS) images. Due to the lack of consideration for the modal feature difference between PAN and LRHS images, most deep leaning-based methods suffer from spectral and spatial distortions in the fusion results. In addition, most methods use upsampled LRHS images as network input, resulting in spectral distortion. To address these issues, we propose a dual-stage feature correction fusion network (DFCFN) that achieves accurate fusion of PAN and LRHS images by constructing two fusion sub-networks: a feature correction compensation fusion network (FCCFN) and a multi-scale spectral correction fusion network (MSCFN). Based on the lattice filter structure, FCCFN is designed to obtain the initial fusion result by mutually correcting and supplementing the modal features from PAN and LRHS images. To suppress spectral distortion and obtain fine HRHS results, MSCFN based on 2D discrete wavelet transform (2D-DWT) is constructed to gradually correct the spectral features of the initial fusion result by designing a conditional entropy transformer (CE-Transformer). Extensive experiments on three widely used simulated datasets and one real dataset demonstrate that the proposed DFCFN achieves significant improvements in both spatial and spectral quality metrics over other state-of-the-art (SOTA) methods. Specifically, the proposed method improves the SAM metric by 6.4%, 6.2%, and 5.3% compared to the second-best comparison approach on Pavia center, Botswana, and Chikusei datasets, respectively. The codes are made available at: https://github.com/EchoPhD/DFCFN.
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
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