The question of whether appropriate decentralization can solve Corporate Social Responsibility (CSR) misplacement caused by Entrepreneurial Characteristics (EC) is an interesting ethical puzzle. ...Because corporate behavior depends on the decision-making choices of executives whose personality characteristics affect the choice tendency, power distribution undoubtedly becomes a big boost for most businesses to work out the adverse externality problems. Based on Upper Echelons Theory, this study developed a comparative impact model linking the effects of entrepreneurial intrinsic nature and experience characteristics on CSR performance. We tested the effective mechanism with the mediator role of the Corporate Power Distribution Index (CPDI) through a sample of listed Chinese companies from 2009 to 2017. The results provide that EC, such as female Gender, Degree, and Salary, have positive effects on CSR; CPDI plays a mediator role in the relationship between EC and CSR; and is moderated by Age, Academy, and Shares. The conclusion shows that EC can improve CSR performance to optimize CPDI to reduce corporate misplacement behavior.
The question of whether appropriate decentralization can solve Corporate Social Responsibility (CSR) misplacement caused by Entrepreneurial Characteristics (EC) is an interesting ethical puzzle. ...Because corporate behavior depends on the decision-making choices of executives whose personality characteristics affect the choice tendency, power distribution undoubtedly becomes a big boost for most businesses to work out the adverse externality problems. Based on Upper Echelons Theory, this study developed a comparative impact model linking the effects of entrepreneurial intrinsic nature and experience characteristics on CSR performance. We tested the effective mechanism with the mediator role of the Corporate Power Distribution Index (CPDI) through a sample of listed Chinese companies from 2009 to 2017. The results provide that EC, such as female Gender, Degree, and Salary, have positive effects on CSR; CPDI plays a mediator role in the relationship between EC and CSR; and is moderated by Age, Academy, and Shares. The conclusion shows that EC can improve CSR performance to optimize CPDI to reduce corporate misplacement behavior.
Photodetectors based on three dimensional organic-inorganic lead halide perovskites have recently received significant attention. As a new type of light-harvesting materials, formamidinium lead ...iodide (FAPbI
) is known to possess excellent optoelectronic properties even exceeding those of methylammonium lead iodide (MAPbI
). To date, only a few photoconductor-type photodetectors based on FAPbI
single crystals and polycrystalline thin films in a lateral structure have been reported. Here, we demonstrate low-voltage, high-overall-performance photodiode-type photodetectors in a sandwiched geometry based on polycrystalline α-FAPbI
thin films synthesized by a one-step solution processing method and post-annealing treatment. The photodetectors exhibit a broadband response from the near-ultraviolet to the near-infrared (330-800 nm), achieving a high on/off current ratio of 8.6 × 10
and fast response times of 7.2/19.5 μs. The devices yield a photoresponsivity of 0.95 AW
and a high specific detectivity of 2.8 × 10
Jones with an external quantum efficiency (EQE) approaching 182% at -1.0 V under 650 nm illumination. The photodiode-type photodetectors based on polycrystalline α-FAPbI
thin films with superior performance consequently show great promise for future optoelectronic device applications.
MYCN amplification in human cancers predicts poor prognosis and resistance to therapy. However, pharmacological strategies that directly target N-Myc, the protein encoded by MYCN, remain elusive. ...Here, we identify a molecular mechanism responsible for reciprocal activation between Polo-like kinase-1 (PLK1) and N-Myc. PLK1 specifically binds to the SCFFbw7 ubiquitin ligase, phosphorylates it, and promotes its autopolyubiquitination and proteasomal degradation, counteracting Fbw7-mediated degradation of N-Myc and additional substrates, including cyclin E and Mcl1. Stabilized N-Myc in turn directly activates PLK1 transcription, constituting a positive feedforward regulatory loop that reinforces Myc-regulated oncogenic programs. Inhibitors of PLK1 preferentially induce potent apoptosis of MYCN-amplified tumor cells from neuroblastoma and small cell lung cancer and synergistically potentiate the therapeutic efficacies of Bcl2 antagonists. These findings reveal a PLK1-Fbw7-Myc signaling circuit that underlies tumorigenesis and validate PLK1 inhibitors, alone or with Bcl2 antagonists, as potential effective therapeutics for MYC-overexpressing cancers.
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•PLK1 is essential for stabilizing Myc family oncoproteins•PLK1 promotes Fbw7 phosphorylation, autopolyubiquitination, and degradation•N-Myc directly activates PLK1 transcription•Combined inhibition of PLK1 and Bcl2 represent potential Myc-targeting therapeutics
Xiao et al. demonstrate that PLK1 promotes Fbw7 phosphorylation, self-ubiquitination, and proteasomal degradation, creating a PLK1-Myc feedforward activation loop in MYC-overexpressing tumor cells. Combination treatment with PLK1 and Bcl2 pharmacological inhibitors specifically induces synergistic cell death, partly because of PLK1 inhibitor-mediated depletion of Myc and Mcl1 expression.
Structural health monitoring (SHM) is a process of implementing a damage detection strategy in existing structures to evaluate their condition to ensure safety. The changes in the material, geometric ...and/or structural properties affect structural responses, which can be captured and analyzed for condition assessment. Various vibration-based damage detection algorithms have been developed in the past few decades. Among them, wavelet transform (WT) gained popularity as an efficient method of signal processing to build a framework to identify modal properties and detect damage in structures. This article presents the state-of-the-art implementation of various WT tools in SHM with a focus on civil structures. The unique features and limitations of WT, and a comparison of WT and other signal processing methods, are further discussed. The comprehensive literature review in this study will help interested researchers to investigate the use of WT in SHM to meet their specific needs.
According to the transaction cost theory for carbon mitigation, green technology innovation must achieve energy conservation and emission reduction through appropriate low-carbon regulation. As a ...consequence, this study compared the punishment effect of the carbon tax and the reward effect of carbon subsidy on the performance of green technology innovation in China’s provincial industries from 2006 to 2017. We also elucidated that the enterprises’ green technology innovation restricts and stimulates the role of low-carbon regulation on green efficiency in the case of the double threshold effect of carbon dioxide emission. Based on this framework, the integrated tax-subsidy policy for carbon mitigation has a significant differential effect on green efficiency, which changed from an inhibition effect in the high-carbon stage to a promotion effect in the low-carbon stage. And the validity of low-carbon regulations increases with the reduction degree of carbon dioxide emission. But it all depends on whether low-carbon regulations stimulate the enterprises’ willingness to green technology innovation, and whether innovations generate incentives that both increase carbon dioxide emissions and compensate for their innovation cost. Otherwise, enterprise performance should adopt follow strategy more than green technology innovation. Therefore, we further suggested that offsetting the costs of green technology innovation through carbon subsidies would improve the willingness of enterprises to make technological progress and increase the likelihood of carbon reductions which can help the peak in China’s carbon emissions.
Tiny changes in the mass of the sensor in a quartz crystal microbalance with dissipation monitoring (QCM-D) can be observed. However, the lack of specificity for target species has hindered the use ...of QCM-D. Here, molecularly imprinted polymers (MIPs) were used to modify a QCM-D sensor to provide specificity. The MIPs were formed in the presence of sodium dodecyl benzene sulfonate. Imprinted layers on Fe
O
nanoparticles were formed using pyrrole as the functional monomer and cross-linker and methylene blue (MB) as a template. The MIPs produced were then attached to the surface of a QCM-D sensor. The MIPs-coated QCM-D sensor could recognize MB and gave a linear response in the concentration range 25 to 1.5 × 10
µg/L and a detection limit of 1.4 µg/L. The QCM-D sensor was selective for MB over structural analogs. The MIPs-coated QCM-D sensor was successfully used to detect MB in river water and seawater samples, and the recoveries were good. This is the first time MB has been detected using a QCM-D sensor. Mass is an intrinsic property of matter, so this method could easily be extended to other target species by using different MIPs.
Inland water is an important part of the Earth’s water cycle. Mapping inland water is vital for understanding surface hydrology and climate change. Spaceborne global navigation satellite systems ...reflectometry (GNSS-R) has been proven to be an effective technique to detect inland water bodies. This paper proposes a new method to map inland water bodies using the delay-Doppler map (DDM) measurements provided by the GNSS-R platform Cyclone GNSS (CYGNSS). In this new method, we develop a refined power ratio to identify the coherence in DDM caused by the inland water. Processed with an image segmentation method, the refined power ratio is then applied to discriminate the permanent inland water bodies from the land. Using CYGNSS data over the Amazon Basin and the Congo Basin in 2020, we successfully generated water masks with a spatial resolution of 0.01°. Compared with the reference optical water masks, the overall detection accuracy in the Amazon Basin is 94.48% and the water detection accuracy is 92.23%, and the corresponding accuracies in the Congo Basin are 96.12% and 93.16%, respectively. Compared with the previous DDM power-spread detector (DPSD) method, the new method’s false alarms and misses in the Amazon Basin are reduced by 17.1% and 9.1%, respectively, while the false alarms and misses in the Congo Basin are reduced by 10.2% and 22%, respectively. Moreover, our method is proven to be useful for detecting short-term flood inundation.
Abstract
Does carbon mitigation depend on the force of government or the autonomy of enterprises? We should first distinguish the roles of green fiscal policy and corporate green investment to test ...whether they can independently guide enterprises to reduce carbon emissions. Because a clear relationship will help resolve the embarrassment caused by their different goals. Then we use theoretical and empirical methods to analyze green fiscal policies and corporate green investment mechanisms, which have nonlinear impacts on carbon mitigation in mathematics. Furthermore, we have empirically verified then in three effective paths: the promotion of green fiscal policies on green investment, the mediator of green investment in the influence of green fiscal policies on carbon mitigation and enterprise performance, and the difference in firm heterogeneity on green investment. The results show that green fiscal policies support enterprises in realizing carbon mitigation by pressure, stimulating green investment, and achieving
Innovation Compensation
. Carbon mitigation depends on the trigger of green fiscal policies and the catalysis of green investment. That means the green fiscal policy is an effective instrument for the government to stimulate green innovation only when they are vital in reducing carbon emissions. Finally, we can summarize the evolutionary process of carbon mitigate from mandatory green fiscal policies to independent green investment, which is helpful for green governance and the low-carbon development of enterprises.
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