Publications by authors named "Qin Binbin"

The proposal of the "dual carbon" targets has provided direction for promoting China's economic green transformation and green innovation. As enterprises are important entities driving technological innovation in China, enhancing their green innovation capabilities holds significant practical significance for reducing carbon emissions. While the flourishing development of the digital economy currently provides new avenues and impetus for enterprise green innovation, research on the micro-level effects of green innovation driven by digital economy is still lacking.

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Article Synopsis
  • Tobacco control is a critical public health issue, with some Chinese cities implementing smoke-free regulations despite the absence of a national law, highlighting varied attitudes and behaviors toward these policies.
  • The study employs a directed dyad-year event history analysis to explore factors that affect the adoption of comprehensive smoke-free policies in 36 major Chinese cities, utilizing the multiple streams framework for analysis.
  • Key influences identified include positive contributions from scientific evidence and media coverage, while challenges arise from administrative disparities and tobacco industry pressure, providing insights for advocacy efforts in tobacco control both locally and globally.
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Zinc oxide has been of interest because of its efficient redox capacity in the UV spectral region. However, the high bandwidth limits its application in the visible region. Although synthesizing heterojunctions and doping with other elements have become the focus of the problem, it inevitably has an impact on the environment.

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MCMC algorithm is widely used in parameters' estimation of GARCH-type models. However, the existing algorithms are either not easy to implement or not fast to run. In this paper, Hamiltonian Monte Carlo (HMC) algorithm, which is easy to perform and also efficient to draw samples from posterior distributions, is firstly proposed to estimate for the Gaussian mixed GARCH-type models.

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  • The study aimed to identify risk factors associated with pneumonia in diabetic patients, as the relationship was unclear prior.
  • A cohort of 1,043 adults with diabetes was analyzed to determine significant risk factors, such as age, gender, and comorbidities like COPD and hypertension.
  • A predictive tool (nomogram) was created to help assess pneumonia risk in diabetes patients, showing strong reliability and offering a foundation for personalized preventive strategies.
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The chloroplast (cp) genome sequence of has been characterized from Illumina pair-end sequencing. The complete cp genome was 160,830 bp in length, containing a large single-copy region (LSC) of 89,049 bp and a small single-copy region (SSC) of 19,071 bp, which were separated by a pair of 26,355 bp inverted repeat regions (IRs). The genome contained 131 genes, including 88 protein-coding genes, 37 tRNA genes, and 8 rRNA genes.

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