Spatial and Temporal Patterns of Green Energy Development in China

The development of non-conventional energy sources is not only an important guarantee for national energy security but also a key support for the realization of carbon peaking and carbon neutrality goals. However, there is limited knowledge of the spatial and temporal patterns and changing characteristics of green energy development in China. Here, based on the energy production and consumption data of the last decade, we combined the gravity center model and statistical model to assess the spatial and temporal patterns of non-conventional energy in 31 provinces of China. The research results show: (1) under the impetus of the development of green low-carbon and ecological civilization strategy, the rate of increase in the production of non-conventional energy in China and the proportion of it increase year by year, and the energy structure obviously presents the characteristics of being low-carbon and cleaner. (2) For the spatial patterns of non-conventional energy development, due to the development of wind power and photovoltaic constraints by natural resource conditions and technology, their development trend is best in northeast, north, and northwest China. (3) The generation of PV and wind power is dominated by northwest China and north China, and the generation of nuclear power is dominated by southeast China, whereas the consumption is dominated by east China and central China; there is an obvious spatial imbalance between non-conventional energy production and consumption. (4) The proportion of photovoltaics in non-conventional energy production has increased significantly over the 2010–2020 period, which is the main driver of the overall shift in the gravity center of non-conventional energy production towards the northwest region of China. (5) In recent years, the gradual transfer of industries from the east to the central and western regions of China and the improvement in the economic level of the western regions have led to an increase in energy production and consumption, promoting a shift in the gravity center of energy production and consumption to the west. Overall, the structural transformation of China’s energy production and consumption (from a high-carbon black structure to a low-carbon and carbon-free green structure) is progressing, and some provinces have achieved significant results, presenting a non-conventional energy industry in accordance with local conditions and the development trend of the non-conventional energy industry

A gigabyte interpreted seismic dataset for automatic fault recognition

The lack of large-scale open-source expert-labelled seismic datasets is one of the barriers to applying today’s AI techniques to automatic fault recognition tasks. The dataset present in this article consists of a large number of processed seismic images and their corresponding fault annotations. The processed seismic images, which are originally from a seismic survey called Thebe Gas Field in the Exmouth Plateau of the Carnarvan Basin on the NW shelf of Australia, are represented in Python Numpy format, which can be easily adopted by various AI models and will facilitate cooperation with researchers in the field of computer science. The corresponding fault annotations were firstly manually labelled by expert interpreters of faults from seismic data in order to investigate the structural style and associated evolution of the basin. Then the fault interpretation and seismic survey are processed and collected using Petrel software and Python programs separately. This dataset can help to train, validate, and evaluate the performance of different automatic fault recognition workflow

Systematic genome editing of the genes on zebrafish Chromosome 1 by CRISPR/Cas9

Genome editing by the well-established CRISPR/Cas9 technology has greatly facilitated our understanding of many biological processes. However, a complete whole-genome knockout for any species or model organism has rarely been achieved. Here, we performed a systematic knockout of all the genes (1333) on Chromosome 1 in zebrafish, successfully mutated 1029 genes, and generated 1039 germline-transmissible alleles corresponding to 636 genes. Meanwhile, by high-throughput bioinformatics analysis, we found that sequence features play pivotal roles in effective gRNA targeting at specific genes of interest, while the success rate of gene targeting positively correlates with GC content of the target sites. Moreover, we found that nearly one-fourth of all mutants are related to human diseases, and several representative CRISPR/Cas9-generated mutants are described here. Furthermore, we tried to identify the underlying mechanisms leading to distinct phenotypes between genetic mutants and antisense morpholino-mediated knockdown embryos. Altogether, this work has generated the first chromosome-wide collection of zebrafish genetic mutants by the CRISPR/Cas9 technology, which will serve as a valuable resource for the community, and our bioinformatics analysis also provides some useful guidance to design gene-specific gRNAs for successful gene editing