Effect of ecological civilization pilot demonstration area construction on urban land green use efficiency

Improvement of urban land green use efficiency (ULGUE) in the context of sustained economic growth is a major challenge for the regional sustainable development and ecological civilization construction in China. This study measures the ULGUE of 263 cities in China at the prefecture or above level, clarifies its spatio-temporal changes, investigates the effect of ecological civilization pilot demonstration area construction on ULGUE with the multi-period PSM-DID model and spatial Durbin difference model, and evaluates the spatial spillover effect of the policy. The results show that: 1) In terms of spatio-temporal changes, ULGUE shows a steady upward trend with time. From 2006 to 2019, the national mean value of ULGUE increases from 0.5284 to 0.6439, with an increase rate of 21.86%; in the spatial dimension, ULGUE is characterized by a pattern of eastern > national > central > western. 2) Ecological civilization pilot demonstration area construction has significantly improved the ULGUE of pilot cities by about 0.12% relative to that of non-pilot cities, which was validated by the robustness test. 3) Ecological civilization pilot demonstration area construction has significant positive spillover effects on the ULGUE of neighboring cities, which are related to the urban characteristics such as geographical location, resource endowment, and environmental protection intensity. 4) Ecological civilization pilot demonstration area construction has certain heterogeneity in its effect on ULGUE in different regions and cities, with a more significant promoting effect for non-eastern regions, non-resource-based cities, and non-key cities of environmental protection. Therefore, it is necessary to summarize the successful experience of ecological civilization pilot demonstration area construction and fully consider differential policies, so as to maximize the policy dividends while strengthening regional linkage, and further contribute to national popularization of this policy

Finishing the euchromatic sequence of the human genome

The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

Research on Data Optimization of CT System for Patients with Severe Pneumonia Based on Filtered Back Projection and Internet of Things

CT technology can clearly and intuitively display the internal structure, composition, material, and defect status of the detected object under the condition of no damage to the detected object. This paper is based on the filtering back projection and the Internet of Things technology to carry out the data optimization of the CT system of patients with severe pneumonia. First of all, the Internet of Things technology is used in the structural design and operation process of the CT system for patients with severe pneumonia, which improves the advancement and convenience of the original system. Secondly, the system data is optimized through the filtering back projection algorithm, which improves the data accuracy and transmission efficiency. Finally, simulation tests have verified the effectiveness of the established CT system data optimization method for patients with severe pneumonia, which is helpful for medical comparison, analysis, and diagnosis