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Accurate forecasting of traffic flow is crucial for intelligent traffic control and guidance. It is very challenging to forecast the traffic flow due to the high non‐linearity, complexity and dynamicity of the data. Most existing forecasting methods focus on designing complicated graph neural network architectures to capture the spatio‐temporal features of traffic data with the help of predefined graphs. However, traffic data exhibit a strong spatial dependency, which means that there are often complex correlations between nodes in a road network topology graph. Moreover, the spatial correlations of the road network change over time. To capture the properties of the road network topology graph, a novel spatio‐temporal adaptive graph convolutional networks model (STAGCN) based on deep learning is proposed. Utilize adaptive graph generation block to capture the static and dynamic structures of the traffic road network respectively, and they are integrated to construct an adaptive road network topology graph. Then the spatio‐temporal features of the traffic data are captured using spatio‐temporal convolution blocks. Experiments were conducted on publicly available traffic datasets for freeway traffic in California, USA, and the results showed that the prediction accuracy of the STAGCN model outperformed multiple baseline methods. [ABSTRACT FROM AUTHOR]

Deprivation and dependence are the main signs of poverty, and elimination of both constitutes a major means of poverty alleviation. The foremost goal of China's targeted poverty alleviation strategy (TPAS) and the sustainable livelihood analysis framework (SLAF) was thus the elimination of deprivation and dependence. Together, TPAS and SLAF form a poverty alleviation mechanism that provides an opportunity to conduct a systematic analysis of TPAS implementation that achieved world‐renowned results in poverty alleviation. In this study, we comprehensively compare the changes in households and villages in a poor county before and after the implementation of TPAS; furthermore, we use a multilevel model to analyze the mechanism behind the functioning of the "Household‐Village" multilevel structure in the poverty alleviation process. The TPAS implemented a comprehensive livelihood system for poor households, whereby multidimensional deprivation was eliminated by supplementing livelihood capitals. Acquisition‐oriented assistance policies were offered to different groups to build customized paths of poverty alleviation, which ultimately helped poor households break through poverty and achieve sustainable livelihoods. This study highlights the close connection between the various components of the livelihood system, provides new research ideas for the study of China's TPAS and presents a reference template for the promotion of China's poverty alleviation programs. [ABSTRACT FROM AUTHOR]

Fossil plants from the carbonaceous shale of upper part of the Lower Carboniferous Jiujialu Formation in Lindai bauxite deposit fill a gap regarding the distribution of Early Carboniferous flora in Central Guizhou Province. Here the Lindai plant assemblage is systematically described, and its composition and geological age are discussed. Research demonstrates that 9 species in 6 genera of the fossil plants are discovered in this study, and they belong to lycopsids, sphenopsids and ferns, respectively. Based on the analysis of the floral composition, the geological age of the Lindai plant assemblage belongs to the Early Carboniferous Viséan. The discovery of Lindai plant assemblage not only provides a new fossil evidence to restrict the age of bauxite deposits in Lower Carboniferous Jiujialu Formation of Central Guizhou Province, but also has great significance to further research the palaeoecological setting and floral evolution during the Early Carboniferous. [ABSTRACT FROM AUTHOR]

The Zunyi manganese deposits, which formed during the Middle to Late Permian period and are located in northern Guizhou and adjacent areas, are the core area of a series of large‐medium scale manganese enrichment minerogenesis in the southern margin and interior of the Yangtze platform, Southern China. This study reports the universal enrichment of rare earth elements (REEs) in Zunyi manganese deposits and examines the enrichment characteristics, metallogenic environment and genesis of REEs. The manganese ore bodies present stratiform or stratoid in shape, hosted in the silicon–mud–limestones of the Late Permian Maokou Formation. The manganese ores generally present lamellar, massive, banded and brecciated structures, and mainly consist of rhodochrosite, ropperite, tetalite, capillitite, as well as contains paragenetic gangue minerals including pyrite, chalcopyrite, rutile, barite, tuffaceous clay rock, etc. The manganese ores have higher ΣREE contents range from 158 to 1138.9 ppm (average 509.54 ppm). In addition, the ΣREE contents of tuffaceous clay rock in ore beds vary from 1032.2 to 1824.5 ppm (average 1396.42 ppm). The REEs from manganese deposits are characterized by La, Ce, Nd and Y enriched, and existing in the form of independent minerals (e.g., monazite and xenotime), indicating Zunyi manganese deposits enriched in light rare earth elements (LREE). The Ceanom ratios (average –0.13) and lithofacies and paleogeography characteristics indicate that Zunyi manganese deposits were formed in a weak oxidation‐reduction environment. The (La/Yb)ch, Y/Ho, (La/Nd)N, (Dy/Yb)N, Ce/Ce* and Eu/Eu* values of samples from the Zunyi manganese deposits are 5.53–56.92, 18–39, 1.42–3.15, 0.55–2.20, 0.21–1.76 and 0.48–0.86, respectively, indicating a hydrothermal origin for the manganese mineralization and REEs enrichment. The (δ13CV‐PDB (−0.54 to −18.1%) and (δ18OSMOW (21.6 to 26.0%) characteristics of manganese ores reveal a mixed source of magmatic and organic matter. Moreover, the manganese ore, tuffaceous clay rock and Emeishan basalt have extremely similar REE fractionation characteristic, suggesting REEs enrichment and manganese mineralization have been mainly origin from hydrothermal fluids. [ABSTRACT FROM AUTHOR]

The article focuses on a study that investigates geochemistry characteristics of Nibao super large gold deposits from Guizhou Province, China and its geologic significance. The study reveals that hydrothermal precipitation prompted the initial formation of Nibao gold deposits and subsequent low-temperature hydrothermal processes resulted in gold remobilization in ore-forming materials. Also the study shows that the Nibao gold deposits have sedimentary hydrothermal alteration characteristics.

The article presents a study to investigate the ZhuXi vanadium deposit from eastern Guizhou, China by using sedimentology, trace element geochemistry and isotope geochemistry. Topics discussed include carbon isotope value of vanadium, trace element geochemical characteristics of vanadium ore, and rare earth elements content in vanadium ore. Other topics discussed include distribution of vanadium ore in sandstone, siltstone, and silty mudstone.