The development and utilization of mining resources are basic requirements for social economic development. Both open-pit underground have impacts on land, ecology, the environment. Of these, is considered to greatest impact due drastic changes wrought original landform disturbance vegetation. As awareness environmental protection has grown, land reclamation been included in process. In this study, we used Shengli Coalfield eastern steppe region Inner Mongolia demonstrate a monitoring We...

Coal is an important global energy resource. However, the negative impacts of mining are factors restricting sustainable development areas. Under superimposed influences different intensities, natural ground conditions, and social-economic development, there large differences in restoration characteristics response strategies for mining. To guide utilization coal resources ecological restoration, spatial distribution should be appropriately analyzed at macroscale. Based on web-crawler...

Coal-based industries are critical to the contemporary world's growth, while environmental degradation associated with industry is also increasing. In this study, we develop Remote Sensing Ecological Index (RSEI) and map its distribution from 2000 2020 using Muli coalfield near Qinghai Lake as research object. This index obtained by fitting four components that critically related quality of ecological environment, including greenness, humidity, heat dryness, finally obtain a desirable...

Background Asthma poses a significant public health burden in China, affecting millions with substantial incidence and mortality. Understanding the trends future projections of asthma mortality is crucial for healthcare planning. Methods We analyzed data sourced from Global Burden Disease (GBD) 2021 study 1990 to 2021, calculated age-standardized rates (ASIR ASMR) estimated annual percentage change (EAPC), meanwhile, employed Joinpoint regression model assess trends. The age-period-cohort...

Accurate and up-to-date built-up area mapping is of great importance to the science community, decision-makers, society. Therefore, satellite-based, (BUA) extraction at medium resolution with supervised classification has been widely carried out. However, spectral confusion between BUA bare land (BL) primary hindering factor for accurate over large regions. Here we propose a new methodology efficient using multi-sensor data under Google Earth Engine cloud computing platform. The proposed...

Investigating groundwater storage (GWS) could greatly better our understanding of dynamics and the factors that influence them. To generate changes in ΔGWS at a finer scale, we developed statistical downscaling model applied it to Gravity Recovery Climate Experiment (GRACE). The is based on relevance vector machine (RVM), which needs few parameters (kernel function kernel width) for regression. In addition, considering anthropogenic GWS, interferometry synthetic aperture radar (InSAR) time...

Abstract Many coal mining areas overlapped with agricultural land in the world. However, surface subsidence and waterlogging brought on by inexorably harm land. Soil moisture can reflect variation of impact significantly according to geographic features high underground water table, which shows significant spatial gradient within basin. Previous studies have used site survey unmanned aerial vehicle (UAV), are not applicable large‐scale assessments ecological impacts defining scale impacts....

In recent years, digital finance has been developing continuously, and commercial banks have developed their own financial services in order to gain more profits from it line with the advancement of technology, presented unparalleled opportunities, as well great challenges. To examine influence on risk spillover among various categories banks. Theoretical analysis is employed direct indirect impacts transmission banks, measure effect different types using GARCH-CoVaR model skewed...

It is indisputable food delivery enterprises have a big market potential with the development of science and technology.Meituan delivers magnate that occupies large share in China, which obvious good case to study.In this paper, we investigated current business model Meituan, method reform delivery, evaluated future market.According our analysis, Meituan will adapt more quickly through diversified comprehensive scope, as well traditional methods.The demand for increasing since people are...

Abstract Load clustering is the foundation of big data mining in power distribution system. It helpful for companies to accurately grasp users’ electricity consumption habits, improve quality and develop demand response. To overcome characteristic redundancy problem high-dimensional load data, method based on RP CAE proposed. Firstly, one-dimensional curves are converted into two-dimensional recurrence plot realize feature enhancement. Secondly, advanced extraction capability used dimension...

As an international language, English has become more and important for nonnative speakers. Therefore, writers ought to consider the needs of non-native speakers, i.e. write in a way that can be understood quite well by audience. In this paper, we investigate position six discourse markers within texts whose target audience was intermediate speakers English. The are: because since, which represent “reason” relation; if when, “condition” although while, “concession” / “contrast” relation....

This paper describes the microplanner of SILK system which can generate texts appropriate for intermediate non-native users on discourse level. Four factors (i.e. nucleus position, between-text-span punctuation, embedded markers and punctuation pattern) are regarded to affect readability at It is preferences among these that decide readability. Since number possible combinations huge, we use Genetic Algorithm solve such a problem. We adopt two methods evaluate system: one evaluating...