Oedaleus decorus asiaticus, Calliptamus abbreviatus, Angaracris rhodopa, and Myrmeleotettix palpalis are the main grasshoppers that harm the natural grassland in the Hexi Corridor. In this study, the MaxEnt model was employed to identify the key environmental factors affecting the distribution of the four grasshoppers habitats and to assess their distribution under current and future climate change conditions. The aim was to provide a basis for grasshopper monitoring, prediction, and precise control. In this study, 61 occurrences of O. decorus asiaticus, 68 occurrences of A. rhodopa, 58 occurrences of C. abbreviatus, and 92 occurrences of M. palpalis were recorded by GPS, and the distribution of suitable habitats for O. decorus asiaticus, C. abbreviatus, A. rhodopa, and M. palpalis were predicted under current and future climatic scenarios using a MaxEnt model. The average AUC and TSS values of the four grasshoppers were greater than 0.9, and the simulation results were excellent and highly reliable. The mean annual precipitation was the main factor limiting the current range of suitable areas for these four species. Under the current climate, O. asiaticus, C. abbreviatus, and A. rhodopa were mainly distributed in the central and eastern parts of the Hexi Corridor, and M. palpalis was distributed throughout the Hexi Corridor, with a potential distribution area of 1.44×104, 1.43×104, 1.29×104, and 2.12×104 km2, accounting for 15.3, 15.2, 13.7, and 22.5% of the total area of the grasslands in the Hexi Corridor, respectively. The highly suitable areas of O. asiaticus, C. abbreviatus, and A. rhodopa were mainly distributed in the east-central part of Zhangye City, the western part of Wuwei City, and the western and southern part of Jinchang City, with areas of 0.35×104, 0.29×104, and 0.20×104 km2, accounting for 3.7, 3, and 2.2% of the grassland area, respectively. The high habitat of M. palpalis was mainly distributed in the southeast of Jiuquan City, the west, middle, and east of Zhangye City, the west of Wuwei City, and the west and south of Jinchang City, with an area of 0.32×104 km2, accounting for 3.4% of the grassland area. In the 2030s, the range of O. asiaticus, C. abbreviatus, A. rhodopa, and M. palpalis was predicted to decrease.
According to the current water construction features and requirements, 11 indexes on three aspects which involve in water environment protection, the flood management and disaster mitigation and effective utilization of water resources are selected to establish a set of objective and scientific evaluation index system of local water conservancy development. Based on its hierarchy characteristics, a fuzzy clustering iterative model is established to determine the index weights. Finally, the model is used to evaluate water conservancy development situation in 14 cities of Liaoning province. The rank scoring of water development of each city in Liaoning province is analyzed, and the key factor is found.
Background: Contextual determinants of health including social, environmental, healthcare and others, are a so-called deck of cards one is dealt. The ability to modify health outcomes varies then based upon how one’s hand is played. It is thus of great interest to understand how these determinants associate with the emerging pandemic coronavirus disease 2019 (COVID-19).Methods: To this end, we conducted a deep-dive analysis into this problem using a recently curated public dataset on COVID-19 that connects infection spread over time to a rich collection of contextual determinants for all counties of the U.S and Washington, D.C.Results: Using random forest machine learning methodology, we identified a relevant constellation of contextual factors of disease spread which manifest differently for urban and rural counties.Conclusions: The findings also have clear implications for better preparing for the next wave of disease.
The main task of this work is to design a control system for a small tail-sitter Unmanned Aerial Vehicle (UAV) during the transition process. Although reasonable control performance can be obtained through a well-tuned single PID or cascade PID control architecture under nominal conditions, large or fast time-varying disturbances and a wide range of changes in the equilibrium point bring nonlinear characteristics to the transition control during the transition process, which leads to control precision degradation. Meanwhile, the PID controller's tuning method relies on engineering experiences to a certain extent and the controller parameters need to be retuned under different working conditions, which limits the rapid deployment and preliminary validation. Based on the above issues, a novel control architecture of L1 neural network adaptive control associated with PID control is proposed to improve the compensation ability during the transition process and guarantee the security transition. The L1 neural network adaptive control is revised to solve the multi-input and multi-output problem of the tail-sitter UAV system in this study. Finally, the transition characteristics of the time setting difference between the desired transition speed and the desired transition pitch angle are analyzed.
As the concepts of intellectual property and media marketing have gained popularity, media marketing has gradually become an integral part of intellectual property marketing, and its use has become more widespread. However, the field of intellectual property marketing (media marketing) has become confused and faces challenges such as loss of uniqueness and weak consumer connections. Existing research efforts have focused on marketing strategies for branded intellectual property, but have neglected the important perspective of consumer psychology and behaviour. In this study, we use the AISAS model to segment digital marketing and delve into consumer psychology and behavioural factors that influence intellectual property marketing (media marketing). This exploration covers intellectual property content at the attention stage, intellectual property value at the interest stage, emotional trust at the search stage, mental consumption at the purchase stage and fan interaction at the sharing stage. We conducted a comprehensive analysis of the data using SPSS and AMOS, and integrated a consumer attitude questionnaire. The final findings confirm that intellectual property content, value, emotional trust, spiritual consumption and fan interaction all positively influence consumer psychology and behaviour. In addition, we make consumer-centric recommendations to extend the life cycle of intellectual property and promote sustainable brand development.
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