bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Analysis of Banana Peels are used as Water Purifying Materials
Authors: Tjahjanti P H , Iswanto  , Luliafan M F , Fahruddin A , Ernanda R R 
Published: February 2021

Abstract
Banana peels are generally considered to be waste usually thrown away, but in fact it has important benefits to clear water. The purpose of this study is to use banana peels to clear dirty water from rivers. The process used is filtered coated water using gravel sand, charcoal, palm fiber and the final filter layer is banana peels that acts as a place to disinfect raw water against germs and bacteria still present in the water. The results obtained indicate that water purification using banana peels meets the criteria for physical testing, including water levels with a pH between 7.0 8.5, and does not interfere with the taste and smell of water. Rainwater and river water can be used as cleaning water because the pH meets all requirements but cannot be used as clean water because bacteriologically all samples do not meet the drinking water
A Disease Interaction Retrieval and Recommendation System based on NLP Technology
Authors: Yao Puyuan 
Published: February 2021

Abstract
There is a great request for a Chatbot system that uses natural language processing for disease retrieval and recommendation in medical treatment with interactive functions. This paper uses cMedQA2 data for training, developing and testing. The Chinese word segmentation tool jieba to reassemble the text data of consecutive words into the word sequences, and uses Bag of Words to count the frequency of keywords appearing in sentences, and uses N-gram method to predict whether the evaluation and prediction of a sentence is reasonable. This paper proposes an improved TextCNN network framework structure, which uses overlap technology to ensure the contextual coherence of information. The final experimental results show that there are 96.2% on the training dataset and 87.5% on the testing dataset.
Research on Hybrid Index Method of Double-Layer B+ Tree for Power Big Data Considering Knowledge Graph
Authors: Gao Ling Chao , Yao Li Ming , Yang ZhiWei , Zheng Fei 
Published: February 2021

Abstract
Efficient power data access can not only ensure the normal operation of power system, but also be one of the key supporting technologies to improve the operational efficiency of power grid enterprises. Aiming at the problem that traditional B+ tree does not take into account the relevance of power information fragments and cannot be indexed flexibly, a hybrid index structure and index method of power big data with knowledge graph is proposed, that is, the first layer uses B+ tree structure to store attributes, and the second layer uses knowledge graph to store attribute value, thus realizing the relevance index of power data. The simulation results show that the hybrid index structure can achieve the index of power big data with relevance information without affecting the index efficiency, which provides technical reference for efficient retrieval of multi-modal data in the future.
Study on the correlation between the fingerprint of Rosa rugosa and its formula granules
Authors: Zhang Yanyan , Qin Ping , Lv Lijuan , Yang Xiaosong , Wu Hongmei , kong Juan , Wang Xiangpei 
Published: February 2021

Abstract
As one of the medicinal and food homologous plants, Rosa rugosa has great development potential. Rosa rugosa formula granules has the features of easy to dispensing, carry, store and no decocting and so on. However, there is a lack of effective quality standards and quality monitoring system. Therefore, high performance liquid chromatography(HPLC) is used in this paper, taking the characteristic spectrum as the control, the correlation between the medicinal materials and the formula granules was evaluated. There were 8 common characteristic peaks in the characteristic spectrum of Rosa rugosa and formula granules, showing good correlation. Among the eight common peaks, rutin was identified. The fingerprint method established in this study has good precision, repeatability, stability, short analysis time and strong specificity, which can provide scientific basis for the quality evaluation and control of Rosa rugosa.
Development of algorithms for data transmission in sensor networks based on fully homomorphic encryption using symmetric Kuznyechik algorithm
Authors: Babenko L K , Tolomanenko E A 
Published: February 2021

Abstract
The article presents the development of algorithms for data transmission in wireless sensor networks based on fully homomorphic encryption (FHE) using a symmetric encryption algorithm Kuznyechik. During the study, the main points related to the use of modern sensor networks were considered: data transfer protocols, the most common vulnerabilities and various emulators of sensor networks. Approaches to the use of homomorphic encryption for data exchange are considered. An algorithm for the interaction of the base station and sensor nodes of the sensor network for data exchange based on FHE using the Kuznyechik algorithm has been developed. To use the encryption algorithm Kuznyechik as part of the FHE, an algorithm for constructing Zhegalkin polynomials for nonlinear cipher elements has been developed and implemented. For the encryption algorithm Kuznyechik, for the first time, Zhegalkin polynomials are obtained, which describe the operation of the replacement S-block. The use of the obtained Zhegalkin polynomials makes it possible to decrypt the data encrypted by the Kuznyechik algorithm and at the same time leave them in the encrypted form of the FHE.
Modelling size distributions of marine plastics under the influence of continuous cascading fragmentation
Authors: Kaandorp Mikael L A , Dijkstra Henk A , van Sebille Erik 
Published: February 2021

Abstract
Field studies in the global ocean have shown that plastic fragments make up the majority of plastic pollution in terms of abundance. It is not well understood how quickly plastics in the marine environmental fragment, however. Here, we study the fragmentation process in the oceanic environment by considering a model which captures continuous fragmentation of particles over time in a cascading fashion. With this cascading fragmentation model we simulate particle size distributions (PSDs), specifying the abundance or mass of particles for different size classes. The fragmentation model is coupled to an environmental box model, simulating the distributions of plastic particles in the ocean, coastal waters, and on the beach. We demonstrate the capabilities of the model by calibrating it to estimated plastic transport in the Mediterranean Sea, and compare the modelled PSDs to available observations in this region. Results are used to illustrate the effect of size-selective processes such as vertical mixing in the water column and resuspension of particles from the beach into coastal waters. The model quantifies the role of fragmentation on the marine plastic mass budget: while fragmentation is a major source of secondary plastic particles in terms of abundance, it seems to have a minor effect on the total mass of particles larger than 0.1 mm. Future comparison to observed PSD data allow us to understand size-selective plastic transport in the environment, and potentially inform us on plastic longevity.
Accounting for re-exports substantially reduces China’s virtual water demand through agricultural trade
Authors: Ali Tariq , Xie Wei , Zhu Anfeng , Davis Kyle Frankel 
Published: February 2021

Abstract
Traditional methods of assessing virtual water (VW) trade usually overestimate the foreign VW used by a country as the imported VW can also be re-exported and used by the countries other than the initial importer. Due to its ability to provide better estimates of transboundary resource use, the global value chain (GVC) method can provide more precise guidelines for the global policy debate over sustainable resource use. Here, we use GVC analysis based on multi-regional input-output tables to quantify the embodied trade of virtual blue and green water for China in the major agricultural sectors and agro-based industries. We find that China is a net importer of blue VW (2.9 billion m3) and green VW (57.9 billion m3) through agricultural commodities. Our results reveal that a large portion of imported blue (37%) and green (17%) VW is re-exported by China and consumed in other countries, representing the overestimated parts of China’s VW import use. These ratios are even higher for individual commodities, including 44% for blue VW for cotton and 22% for green VW for grains. This work demonstrates the importance of improved accounting in VW trade to achieve the sustainable use of global water resources and equitably share responsibility between producers, intermediates, and end-users.
Phycoremediation of heavy metals from a point source in asa drainage systems using Water Hyacinth (Eichornia crassipes)
Authors: Adewoye S.O. , Adenigba V.O. , Adewoye A.O. 
Published: February 2021

Abstract
The indiscriminate release of untreated or poorly treated effluent from industries into the environment is one of major challenge of industrialization. Heavy metals remain of the components of these effluent that has a deleterious effect on both aquatic lives and man who directly or indirectly depends on the aquatic system for survival. The persistent and non-biodegradable nature of heavy metals has required extended attention to materials that have the ability to remove the non-biodegradable metals by adsorption. The potential of Eichorniacrassipes as an adsorbent in removing heavy metals present in pharmaceutical effluent was investigated. The adsorbentwas introduced to the effluent under different concentrations (1, 5 and 10 mg) and contact time (24, 48 and 72 h). The concentration of Manganese, Copper, Lead and Zinc before and after the experiment was measured using Induced Coupled Plasma –Mass Spectrophotometer. The percentage reduction in concentration of each metal was calculated, for manganese, the highest percentage reduction of 61.86 % (1 mg at 24 h), 63.09 % (1 mg at 24 h), 38.99 % (1 mg, 72 h) and 93.37% (10 mg, 48 h) was reported for Manganese, Zinc, Copper and Lead respectively. This work has presented Eichornia crassipiesas a potential adsorbent with high heavy metal removal efficiency.
Global ocean mesoscale vortex recognition based on DeeplabV3plus model
Authors: Wang Taotao , He Hongchang , Fan Donglin , Fu Bolin , Dong Shundan 
Published: February 2021

Abstract
Ocean mesoscale vortices play a very important role in global energy and material transport, and to a large extent affect the distribution of nutrients and phytoplankton. Traditional mesoscale vortex extraction methods have the problems of dependence on threshold and sensitivity to noise. In recent years, the machine learning methods that have emerged in recent years have also made the generalization ability of the model poor due to the limited coverage of the training data set, resulting in most methods only suitable for extraction in specific sea areas. This paper uses daily global sea level data from 2008 to 2017, combined with the py-eddy algorithm, to complete the construction of a label data set covering the entire sea. At the same time, based on the DeeplabV3plus model, by adjusting the loss function, a recognition model conforming to the mesoscale vortex characteristics is realized. Experimental results show that the verification accuracy rate of the model reaches 80.5%, and the Kappa coefficient is 0.758. Compared with the previous extraction method, the accuracy of this model is increased by 13.8%, and the Kappa coefficient is increased by 0.255. Experiments show that the mesoscale vortex recognition method proposed in this paper has good recognition accuracy for different sea areas and different scale vortices.
Remote sensing abnormal extraction of hydroxyl alteration based on PCA method
Authors: Tianshi Feng , Zhiguo Pang , Wei Jiang , Guanbo Pei , Hao Li 
Published: February 2021

Abstract
Anomalous geological events often occur during the formation and evolution of mineral deposits. The use of remote sensing technology to extract anomalies is one of the important contents of remote sensing prospecting. The principle is to use different minerals to show differences in the responses of different bands of remote sensing images. Landsat satellite has accumulated massive amounts of remote sensing image data since its launch, providing a research foundation for geological remote sensing. This paper takes the eastern part of Tuoli County, Tacheng District, Xinjiang Uygur Autonomous Region as the research area, and selects ENVI software for remote sensing image preprocessing and remote sensing anomaly extraction. Four bands including TM1, TM4, TM5, and TM7 of Landsat5 TM image are used as the basic bands for extracting hydroxyl remote sensing anomaly information. After preprocessing, the influence of vegetation and water bodies on remote sensing prospecting is suppressed by masking method, and then the Corsta method is used to delimit the threshold value to judge the degree of alteration. The PCA method is generally used to extract the remote sensing anomalies of hydroxyl alteration in the study area, and finally the thematic map visually displays the results of the remote sensing anomaly extraction, which proves that the PCA method based on Landsat5 TM images can provide a certain reference for geological work such as prospecting.
Initiation characteristics of tight sandstone reservoir under different fracturing fluid infiltrations
Authors: Zhang Yin , Yu Rangang , Yang Wendong , Tian Yong , Shi Zhicheng , Sheng Chengxiang , Sun Hongyuan 
Published: February 2021

Abstract
True triaxial hydraulic fracturing experiments were carried out on artificial analogue rock samples (AARS) of tight sandstone to analyze initiation characteristics under different fracturing fluid (FF) infiltrations. Moreover, the initiation was monitored by acoustic emission (AE) system. The results show that: FF fracturing has the lowest initiation pressure (37.7MPa) and average pressurization rate (0.2MPa/s), and takes the longest time for initiation (209s). Besides, AE signal is scattered and no extension appears after initiation. FF + temporary plugging agent (TP) fracturing has the highest initiation pressure (43.5MPa) which is lower than extension pressure, and it also has higher pressurization rate and amplitude peak as well as shorter time for initiation compared with FF fracturing. As for FF + sleeve fracturing and FF + nano-organo boron crosslinking agent (NBC) fracturing, they have much shorter time for initiation as well as higher evidently average pressurization rate and amplitude peak. Extension pressure is lower than initiation and almost all AE signal is concentrated at initiation moment.
Research on Sawing Mining Technology of Soft Dimension Stone
Authors: Ronggang Lv , Jianqiao Yang , Qizhong Luo 
Published: February 2021

Abstract
China is the main production and consumption country of dimension stone in the world, the development of dimension stone industry is of great significance. According to the concept, types and characteristics of dimension stone, this paper analyzes the factors affecting dimension stone mining, introduces the general technological process of dimension stone mining. On the basis of analysis, comparison and comprehensive research, combined with literature and practical experience of dimension stone exploitation, the paper puts forward more advanced, efficient and safer soft dimension stone sawing technology and various concrete schemes of soft dimension stone mining, and also discusses the advantages and disadvantages of sawing methods and the future development trends of sawing technology.
Source rock characteristics and sedimentary environment analysis of Lucaogou Formation in the eastern Jimusaer Sag, Junggar Basin
Authors: Feng Chengcheng , Haiguang Wu 
Published: February 2021

Abstract
In recent years, shale oil has gradually become the focus of oil exploration. The source rocks of Lucaogou Formation in the east of Jimusaer Sag of the Junggar basin have great shale oil potential. However, there is still much controversy regarding the sedimentary environment of the source rocks which restrict shale oil exploration. In order to address this problem, 45 mudstone samples of Jx-1 well are selected for testing and analysis. The results show that the Permian Lucaogou Formation in the Jimusaer Sag is developed with high quality source rocks, and the organic matter type is mainly type II, and the source rocks are in mature stage. Both higher terrestrial plants and aquatic algae are important sources of organic matter in source rocks, but the source of organic matter is still dominated by lower aquatic organisms. The source rocks of Lucaogou Formation are mainly deposited in reducing environment, and the water salinity is high, which is conducive to the preservation of organic matter.
Object Recognition of Urban Buildings in High Spatial Resolution Remote Sensing Imagery
Authors: Liu Yuan 
Published: February 2021

Abstract
High-resolution remote sensing images can finely express rich surface information. Using the macroscopic and spatial-temporal full coverage advantages of high-resolution remote sensing images for urban building objectification recognition is a current research hot spot in the field of remote sensing image analysis and application. However, the current research still lacks effective technical means to convert surface elements quickly and accurately from remote sensing image space to geographic information space. In this paper, the complementary advantages between image processing and deep learning are combined to research target-level extraction of high-resolution remote sensing urban buildings based on the building element information data. The experimental results achieved the precision of 0.9481 and the recall of 0.9733, indicating that the method proposed in this paper can be applied to the effective extraction of urban-level buildings, which expands the theoretical basis of the object recognition method of remote sensing thematic features based on the idea of object image analysis.
Computer modeling of gas shale reservoirs basing on dynamic mechanical characteristics - A Case Study of Well No. 202 in Weiyuan Area of Sichuan Basin
Authors: Zhu Zhengping , Li Sheng , Zhou Yali , Chang Tianquan , Xiong Qian 
Published: February 2021

Abstract
Global shale oil and gas resources are very rich, are becoming an important supplement to conventional oil and gas. However, due to strong plasticity, strong reservoir stress sensitivity and poor stability, easy burst collapse, rupture, card Drilling or well leakage and other phenomena, restricting the development of shale oil and gas resources. In order to improve the safety and efficiency of the shale formation drilling project, This paper uses the rock physics, logging, geology and other disciplines as the theoretical guidance, using the dynamic model to build the method, and the No. 202 well logging data and related research results as an example, the prediction, verification and evaluation of rock mechanics parameters, in-situ stress, wellbore stability and compressibility of the shale formation were carried out respectively. The results show that the rock mechanics model provides the key information for the construction of hydraulic fracturing engineering. There are significant wall collapse phenomena in the well sections of the Well No. 202, and there are significant differences in the maximum and minimum horizontal principal stresses at specific parts. The results of this study are of great significance to the follow-up of shale reservoirs and the design of late fracturing.
Detection Capability and Application Analysis of the Small-Loop Transient Electromagnetic Method
Authors: Zhengyu Xu , Nengyi Fu , Longhuan Liu , Xian Liao , Xuhua Liu , Zhihong Fu 
Published: February 2021

Abstract
When working in the areas with strong interference and limited sites, such as cities, dams, and mountainous areas, using the conventional transient electromagnetic (TEM) devices is difficult to lay out large transmitter loops for conventional surveys. The small-loop transient electromagnetic method, which has the advantages of lightweight and high efficiency, is a new technology of current researches. First of all, A one-dimensional (1-D) layered model and a three-dimensional (3-D) homogeneous half-space model were established by using numerical simulation method. The research results show that the small-loop TEM devices can not only accurately reflect the anomaly information of deep targets, but also be more sensitive to the detection of shallow targets. By using high-current technology, the signal intensity and detection depth of multi-turn small-loop TEM devices and that of large loop device are the same. Finally, the accuracy and effectiveness of small-loop devices were verified through analysing the results of dam karst investigation. The research work provides a reference for the qualitative analysis of response characteristics and data interpretation of small-loop TEM.
Application research of attribute fusion technology based on principal component analysis in fracture identification
Authors: Wang Rui , Qiong Li 
Published: February 2021

Abstract
The seismic interpretation and analysis of a single attribute has multiple solutions and limitations, so the article proposes the technical research on the feature identification of fault structure based on the attribute fusion of principal component analysis (PCA). The results indicate that, compared with a single attribute, the integrated seismic attributes obtained by the fusion of the principal component analysis (PCA) method can more clearly reflect the development direction and boundary range of the fault, and the small fractures distributed around it can also be more obvious. The characterization proves that this technology has great application potential in fracture identification.
Simulation of seawater eddy current loss in in-situ detection system for the magnetic properties of seabed sediments
Authors: Zhao Tianxue , Pan Weidong 
Published: February 2021

Abstract
This paper mainly simulates and analyzes the working conditions of the in-situ detection system for the magnetic properties of seabed sediments in the marine environment. Firstly, the causes and influencing factors of eddy current loss in seawater are analyzed. Secondly, the influence of seawater eddy current loss is equivalent to seawater impedance circuit, and the influence on coil resistance, inductance and magnetic field generated by the coil is qualitatively analyzed. Finally, a COMSOL simulation model is built to verify the mentioned-above theoretical analysis. The simulation results show that compared with those in the air environment, the equivalent resistance of the coil increases, the equivalent inductance decreases and the magnetic field generated by the coil decreases in the marine environment.
The theory of drought-earthquake relationship revisited
Authors: Jinhua Zhao , Hanpeng Lu , Hong Li , Jianchang Zheng , Puyu Zhong , Feng Wang 
Published: February 2021

Abstract
Geng Qingguo summarized the drought-earthquake relationship data from 1956 to 1972 to derive a theoretical formula for drought-earthquake. In this paper, the area of the drought area and the duration of drought before the ½ magnitude earthquake in Tancheng in 1668 were substituted into this formula to invert the future earthquake magnitude. At the same time, the magnitude 7 earthquakes that occurred since 1972 that were related to drought were also inverted for future magnitudes. The analysis suggests that there may be a relationship between drought and earthquakes, and that the drought-earthquake relationship can also be used as one of the medium-term forecasting methods for large earthquakes when earthquake forecasting has not yet been overcome, and the possible future earthquake magnitudes in drought areas are calculated by Geng Qingguo’s empirical formula for drought-earthquakes.