bluuebunny/crossref_metadata_2025_split huggingface dataset:
Revealing the hiden mystery of Piezo: A phylogenetic study
Authors: Jia Chenyang 
Published: February 2021

Abstract
Piezo proteins are a group of important mechanical-responsive ion channel proteins, which play an indispensable role in the normal physiological process of the organism. Therefore, Piezo proteins have attracted many researchers to develop relevant studies. In this work, an evolutionary tree of the Piezo1 gene was constructed using the gene sequences from National Center for Biotechnology Information (NCBI). Using MEGA, the ancestral gene sequence was constructed and the conserved and variable regions of Piezo1 protein were marked. According to the tree, the evolution of Piezo genes can be analysed, and then it is possible to predict the direction of gene mutation. The pathogenic mutation site to the corresponding regions was also mapped. Although there is still much work to be improved, the efforts to analyze the Piezo 1 gene from an evolutionary perspective is valuable, which might be helpful for future disease diagnosis and individualized therapy.
Basic Theory of Quantum Entanglement and the Possibility of Passing on Information Faster than the Speed of Light
Authors: Xue Yihe 
Published: February 2021

Abstract
Quantum entanglement is the core of quantum physics, which is a part of theoretical physics. This theory is once assumed to be the hope of faster-than-light communication. If the technique is achievable, it would be a great breakthrough in the field of physics. I went through the development history of quantum entanglement and conclude it, which is the main stuff I write about in this article, as it involves many differing and sometimes contradictory opinion of physicists. The main part of my research depends on articles about quantum mechanics. I read them first and extracted the relevant contents to form a complete timeline of development. During my exploration, a conclusion of faster-than-light communication is impossible is arose.
The String Theory: Past and Present
Authors: Chen Beibei 
Published: February 2021

Abstract
String Theory is a theory that could be a candidate for “Theory of Everything.” It does not have a long history, as many scientists had witnessed it evolved overtime. The theory is still considered unprovable today. Since lesser scientists are still focusing on this theory in the present time, this passage will be focusing on how it was developed and explains why it was still a problem left for future generations.
Application of ECRS Comprehensive Anomaly Analysis In Zhangjiakou-bohai Fault Belt
Authors: Hong Li 
Published: February 2021

Abstract
ECRS (earthquake corresponding relevancy spectrum) is one of the statistical methods for quantitative identification of earthquake comprehensive precursor anomalies. It is used to identify and extract precursor anomalies information of observed data. Taking Zhangjiakou-bohai fault belt as the study area, we carry out earthquake comprehensive anomaly analysis on base of ECRS method. According to seismic characteristic of study area, magnitude of target earthquake and initial earthquake in calculation are Ms5 and Ms2, respectively. By case analysis and extrapolation of multi-parameter earthquake relevancy spectrum of different inspection period, we select the proper time-interval which has better prediction efficiency and give quantitative evaluation of research area. The anomaly correspondence rate and earthquake correspondence rate are 6/8 and 8/9, respectively, when anomaly threshold is 0.45 times standard deviation.
Analysis of Temporal and Spatial Variation Process of Dianchi Lake Surface Water Temperature Based on MODIS Remote Sensing Images
Authors: Wang Yunhui , Luo Yi , Tan Wenjing , Su Hong 
Published: February 2021

AbstractLake surface water temperature (LSWT) is an important physical attribute that affects the ecological environment of lakes. It plays an important role in the ecological process of the water environment and directly affects human production and life, the ecological environment system of the water area, and the diversity of organisms. In order to adjust and improve the ecological conditions of the watershed, it is necessary to obtain a large amount of effective lake surface water temperature data, and use this as a basis to analyze the temporal and spatial change process of the LSWT. This study uses MODIS (MOD11A2) surface temperature product data to obtain the LSWT of Dianchi Lake, and then analyzes the temporal and spatial variation characteristics of the LSWT of Dianchi Lake on different time scales (year, season, month) during the day and night. The research results show that the annual, seasonal and monthly average values of the LSWT during the day and night are all increasing from 2001 to 2017. The average annual temperature rise rate of Dianchi LSWT during the day and night is 0.09°Cyr−1and 0.05°Cyr−1, respectively. The spatial analysis results show that the LSWT increase area of Dianchi Lake is expanding.
Analysis on the Characteristics of Cultivated Land Change in DianChi Lake Basin based on remote sensing image processing technonlogy in the past 20 years
Authors: Gao Min , Luo Yi , Shi Lina , Shang Chunxue 
Published: February 2021

Abstract
Cultivated land is the fundamental guarantee of agricultural production, accurate acquisition of information such as the area and distribution of cultivated land and the change characteristics of cultivated land is of great significance for agricultural resource monitoring and production. The development of remote sensing technology provides a new technical scheme for rapid and efficient extraction of cultivated land information. This article takes Dianchi Lake Basin as the research object to study the characteristics of cultivated land changes in Dianchi Lake Basin in the past 20 years. In the past 20 years, the distribution of cultivated land in the dianchi lake basin gradually changed from species concentration to decentralization, and showed a trend of gradually moving away from dianchi lake. Through the analysis of the dynamic attitude of land use, it is found that the cultivated land area in the dianchi basin has significantly changed between the land use in the past 20 years. From the perspective of the change trend and state index of single land use in the dianchi lake basin, the bidirectional transition of all land use in the region is frequent and extremely unbalanced. The area converted from cultivated land to non-cultivated land is larger than the area converted from non-cultivated land to this type. It develops towards the direction of scale reduction and is in the state of “falling trend”.
The temporal and spatial distribution of Chinese old trees and its analysis
Authors: Zhao Limei , Yang Kun , Luo Yi 
Published: February 2021

AbstractThe oldest old trees in China are distributed in remote and high-altitude areas. Studying the distribution and characteristics of old trees in China is conducive to understanding the impact of human activities on the survival of old trees and plays a great role in the protection of old trees. In this paper, combined with the old tree data set compiled by Jiajia Liu et al., the geographical population boundary of China, etc., the distribution and characteristics of first-class old trees are analyzed and discussed. The results show that: the first-class old trees are generally distributed on the mountains; they are basically distributed on the left side of the population boundary; from the tree species, they are mostly Juniperus przewalskii, Juniperus tibetica, Chamaecyparis obtuse, Cunninghamia lanceolate, Pinus armandii, Tsuga dumosa, Picea likiangensis and Larix sibirica.
The influence of environmental factors on the intensity of typhoon Mirinae in the South China Sea and its forecast analysis
Authors: Huang Ying , Huang Xiaoyan , Zhao Huasheng , Jin Jian 
Published: February 2021

Abstract
The rapidly intensifying typhoon Mirinae (1603) originated in the South China Sea (SCS) has been selected to analyze the high and low level circulations, vertical wind shear (VWS) and ocean conditions in and around the SCS when Mirinae was strengthening. Further, the fuzzy neural network (FNN) ensemble model has been developed for 24-hour intensity prediction based on climatology and persistence factors and dynamic factors of numerical prediction products as potential predictors. The underlying conditions were favorable for Mirinae, however, it did not be intensified to a strong typhoon because of the weak high and low level circulations and strong VWS. For the FNN ensemble prediction model input, predictors were selected by employing both a novel stepwise variable selection algorithm based on the k-nearest mutual information estimation and Laplacian Eigenmaps of manifold learning, and then the main prediction information hidden in high dimensional data set was extracted with low-dimensional structure. Results show that, the predictions of the new model are stable and reliable, and the forecast accuracy is high, providing a new forecasting tool and modeling method for the objective forecast of typhoon intensity.
Flood Monitoring in Weifang City, Shandong Province based on Sentinel-1A SAR
Authors: Wang X G , Jiang A H , Dai J , Wang Z W , Zhang S N , Guo X R 
Published: February 2021

Abstract
Flood disasters pose numerous hazards which seriously endanger human life and property. Therefore, flood monitoring is essential. In August 2018, an unusual precipitation occurred in Weifang City, Shandong Province, China, causing severe flooding. By making full use of polarization information from Sentinel-1A SAR data before and during the disaster in Weifang City, we were able to employ the Doublet, Otsu and Region Growing methods towards VV and VH images to extract the water body information. To improve the accuracy of water body identification we took the intersection processing of VV and VH images before and during disaster respectively. Then we monitored the submerged area by taking overlay analysis of the results of before and during flood. The comparison analysis between these three methods and the InSAR result show that the Doublet method has the largest difference with the InSAR result and has the lowest recall and precision rate. The Otsu and Region Growing methods are equivalent, but the Otsu had a higher recall rate while the Region Growing method had a higher precision. The area of flood inundation in Weifang City based on the Otsu method is about 1892.7km2, while the area of flood inundation according to the Region Growing method is about 1576.6km2.
A revised forecast method of ECMWF precipitation based on CNN feature extraction
Authors: Zhao Huasheng , Huang Xiaoyan , Huang Ying , Jin Jian 
Published: February 2021

Abstract
The paper proposes a method for correcting the precipitation forecast of the European Centre for Medium-Range Weather Forecasts (ECMWF) model. The method first uses the ECMWF physical quantity field to draw the flow field diagram in the form of weather, and uses it as the input of the convolutional neural network(CNN) and performs feature extraction on it. Secondly, select several characteristic factors that are highly correlated with the forecast object from the many characteristic factors. Finally, the selected characteristic factors and the precipitation forecast factors of the ECMWF model are used as the input factors of the random forest regression model for modeling and forecasting. Through the correction forecast test of the next 24h precipitation at 10 forecast test stations, the results show that the ECMWF precipitation correction forecast method proposed in this paper is 15% less than the forecast method using ECMWF interpolation to the station on the MAE and RMSE indicators. And 17%. At the same time, on the TS scores of rainstorms above 24h, the revised forecast method proposed in this paper has a false alarm rate significantly lower than the forecast method of ECMWF interpolation to the station.
Lift and Drag Analysis of a Bionics Flapping Aircraft
Authors: Wang Yifan , Xie Siwen 
Published: February 2021

Abstract
This article focuses on the study of bionic wings. Based on the analysis of insect thoracic cavity structure and movement mechanism, two groups of insect flapping wings models were simulated, and unsteady aerodynamic problems were studied using computational fluid dynamics numerical simulation methods, with emphasis on computer simulation, iterative calculation equations and observation. The convergence is used to analyze the driving force curve, verify and analyze the influence of air fluid on the surface pressure and speed of the wing during the flight of the insect. Studying the influence of fluid mechanics during insect flight is of great significance to further optimize and improve existing aircraft structure forces.
Application and analysis of inverted ruler method in vault settlement monitoring of underground excavation station
Authors: Xu Yiteng , Guo Hao 
Published: February 2021

Abstract
In the urban rail transit engineering, the construction of undercutting under the existing rail line is plagued by high construction risk and high monitoring accuracy requirements. Taking a station A in an urban rail transit project as an example, combined with the characteristics of the project, the monitoring scheme of vault settlement in the excavation section is formulated. In order to establish two sets of relatively independent elevation system and adopt the method of setting up independent station to measure the inverted ruler, the feasibility of this method is verified, and the sources of measurement error and control measures are analyzed. The actual results show that the method can meet the requirements of monitoring accuracy of vault settlement in the underground excavation section of subway station.
Transfer analysis of land-use type gravity center based on Landsat data - A case study of Zhoushan, China
Authors: Chen Huixin , Chen Chao 
Published: February 2021

Abstract
Based on the Landsat images of 7-time phases from 1984 to 2016, this paper analyzes the center of gravity transfer of land types in Zhoushan City, China. The research shows that the center of gravity migration distances of construction land, forest land, water, tidal flats, cultivated land/grassland and bare land are 1.80km, 0.37km, 4.27km, 3.84km, 0.55km and 1.60km respectively. The construction land expands along the coastal plain of each island, leading to the gradual encroachment of cultivated land/grassland and the spatial distribution of cultivated land/grassland tends to be discrete. This study will provide data support for the rational decision-making of land resource management in Zhoushan City and promote the sustainable use of land resources.
Fitting Atmosphere Temperature of 20th Century in 49 European Capitals using Random Walk Model
Authors: Yan Shaomin , Wu Guang 
Published: February 2021

Abstract
The 20th century has been witnessed with the rise of global temperature due to CO2 emission since the industrial revolution. The global warming is observed around the world, and the governments take measures to reduce CO2 emission to combat the rise of temperature. The temperature profile has been mainly modelled at global level. Yet, it necessarily models the temperature in cities because each city would have its own feature. Among various models to fit or simulate the temperature, the application of random walk model is rare. In this study, we used the random walk model to fit the temperature of the 21th century in 49 European capitals not only because the industrial revolution first appeared in Europe but also European governments commit and endorse the Paris Agreement. First, the yearly temperature was simplified as increase (+1) or decrease (–1) in comparison with previous year, whose addition in the 20th century in each of 49 European capitals construct a step-typed curve. Second, random walk model was used to fit these step-typed curves with the least squared method. Third, the widely used CRUTEM3 temperature in the 20th century in each of 49 European capitals was directly fitted using random walk. The results show that random walk can fit the step-typed curves and CRUTEM3 temperature.
On-time response of unexploded ordnance-like targets detection with transient electromagnetic system
Authors: Hao Jun , Zhang Shuang , Chen Shudong 
Published: February 2021

Abstract
Time-domain electromagnetic induction method including on-time and off-time illumination is widely developed in unexploded ordnance (UXO) detection. The secondary field response detected in off-time is almost ineffective for targets with small size and great depth due to fast signal attenuation and low signal-to-noise ratio at late stage. In this paper, the on-time response for UXO detection with TEM system is discussed in detail. Firstly, the on-time response of a sphere is calculated theoretically and compared with the off-time response. Secondly, the transmitting circuit with four NMOS is designed to generate desired transmitting current to measure on-time response effectively. Finally, the on-time and off-time response of several targets are measured simultaneously. Results show that the late signal-to-noise ratio of on-time response is much higher and the attenuation of target with small size and iron pipe is slower than the off-time response, which is consistent with the theoretical results.
Sea surface temperature prediction model based on long and short-term memory neural network
Authors: Li Xiaojing 
Published: February 2021

Abstract
In response to the monitoring and forecasting of El Nino/La Nina phenomenon, This paper proposes a sea surface temperature prediction method based on long and short-term memory neural network for the average sea surface temperature in the NINO comprehensive area. This method uses the monthly anomaly sea surface temperature sequence for the mean sea surface temperature in the NINO Comprehensive area as the input of the long- and short-term memory neural network to establish a forecast model. The average sea surface temperature of the NINO comprehensive area is forecasted for the next 1 to 3 months. The results show that the method can better predict the average sea surface temperature of the NINO comprehensive area, which is useful for the monitoring and forecasting of El Nino/La Nina phenomenon. Provides a new approach.
Study on Extraction of Landslide Information Based on UAV Survey
Authors: Wang Zhiyuan , Huang Taosheng , Bao Xiaojun , Ma Shuai , Sun Cheng , Liu Gao 
Published: February 2021

Abstract
Traditional analysis of landslide evolution discipline requires particular on-site investigation, which not only consumes a lot of manpower and material resources, but is also very inefficient. With the development of small drone aerial photography technology, a method based on the whole area landslide measurement becomes possible. This paper uses the rapid development of digital photogrammetry technology in recent years to monitor the surface deformation of the Qinyu landslide, and conducts an in-depth study of its evolution. The results show that the evolution of the Qinyu landslide is inherited and different in time and space. The reconstruction of the three-dimensional model greatly simplifies the traditional on-site investigation, and it also provides new methods and ideas for landslide monitoring.
Research status and characteristics of advanced hydrocarbon trap evaluation
Authors: Wang Wei , Chen Guomin , Deng Kang , Du Tangzhong , Wang Lin 
Published: February 2021

Abstract
Advanced hydrocarbon trap evaluation is crucial and necessary for the exploration target optimization decision. Its evaluation conclusion is verified by actual drilling results, so its research status has a direct impact on exploration benefits. This paper discusses the essence of advanced hydrocarbon trap evaluation that focuses on the development of quantitative and integration evaluation under the guidance of exploration target decision. Then, from these aspects, such as the theory method system, the basic geological research, the quantitative evaluation, economic evaluation and degree of computer application, their current situation of the development was unraveled one by one, the research status tends to be the higher degree of computer application, the deep involvement of basic geological research, and integration of multi-disciplinary procedure, the higher qualitative evaluation combined with the quantitative evaluation, and also a research chain of predication and decision-making process so that it needed constantly and actively by the support of different multi-disciplines, such as the system engineering theory and evaluation theory, decision-making theory, computer science and other disciplines to improve the evaluation theory and advanced evaluation methods.
Study on a feasible detection method based on acoustic characteristics of sea moon jellyfish
Authors: Wei Dan , Yang Qian 
Published: February 2021

Abstract
In order to solve the problem of water intake clogging by jellyfish in cold source water area of nuclear power plant, a jellyfish detection method based on high-resolution multi beam imaging is proposed. The sea moon jellyfish detection experiment in real environment is carried out in the laboratory pool, and the echo characteristics of individual jellyfish are analyzed. In the experiment, the acoustic images of jellyfish and other sea creatures are obtained by using acoustic means. It is found that the change of posture has an important influence on the echo energy of jellyfish. The feasibility of detecting jellyfish and other marine organisms by high frequency multi beam method is preliminarily verified.
The main principles of formation of a collection of strains of the causative agents of septoriosis of cereal crops
Authors: Pakholkova E V , Kolomiets T M , Salnikova N N , Kurkova N A 
Published: February 2021

Abstract
A collection of strains of the causative agents of septoriosis of cereal crops was established at the All-Russian Scientific Research Institute of Phytopathology (ARRIP) as a result of long-term monitoring of the species and intraspecies structure of pathogen populations in Russia and the CIS countries. It is the basis for immunological, phytopathological and genetic researches both within the Institute and in other institutions working in the field of plant breeding and plant protection. The article describes the main principles of formation of collection, the main criteria of selection of strains, and their significance and evaluation methods. The structure of the collection fund formed on the basis of these principles is presented.
The use of Superstim modifications in low and ultra-low doses for long term deposition of micro-plants of perpetual raspberry in the culture room conditions
Authors: Akimova S V , Kirkach V V , Demenko V I , Malevannaya N N 
Published: February 2021

Abstract
A method for long-term deposition of micro-plants in the culture room conditions when adding Superstim-1 and Superstim-2 products in low doses to the nutrient medium has been developed for clonal micro-propagation of perpetual raspberry (Diamond, Gerakl varieties). This method does not require any special equipment and ensures viability sustaining of micro-plants without signs of necrosis and chlorosis for 10-12 months without additional transfers to a fresh nutrient medium. When depositing regenerants of the Brilliantovaya variety for 12 months in the culture room conditions, the advantage of adding Superstim-1 in concentration of 1&#x00D7;10-9 %, 1&#x00D7;10-15 %, 1&#x00D7;10-18 % to the nutrient medium composition was revealed. When depositing the Gerakl variety, it was found that storing of micro-plants of the Gerakl variety for more than 10 months is impractical, since at the 12-th month of sub-culturing the viability of micro-plants did not exceed 30% even in the best variants of the experiment. At the 10th month of sub-culturing, the advantage of adding the Superstim-1 product 1 1&#x00D7;10-6 %, 1&#x00D7;10-9%, 1&#x00D7;10-15 %, 1&#x00D7;10-18 % to the nutrient medium composition of the Superstim-1 product was revealed.