bluuebunny/crossref_metadata_2025 huggingface dataset:
Discovery Learning with Link Map and Motivation on Calculus
Authors: Marsitin Retno , Rahayu Sesanti Nyamik , Farida Nur
Published: July 2021

Calculus has a high abstractness so calculus requires the ability to think in solving mathematical problems. Calculus is one of the fields of mathematics that is full of calculations and formulas, so it needs the motivation to be happy and interested in calculus. This study aims to analyze discovery leaning with link maps and learning motivation on calculus. This research is quantitative descriptive with research variables including discovery learning, link maps and academic abilities of students. The study is conducted at Universitas Kanjuruhan Malang with 105 students. The research data is obtained from the results of the students’ academic ability test, the results of student worksheets on discovery learning and link maps and learning motivation with questionnaires. Data analysis uses multiple linear regressions assisted by SPSS. The results show that discovery learning with link maps has a positive effect on students’ academic abilities. In addition, motivation influences on discovery learning with link maps and student academic abilities. If students have high motivation and the ability to find their own concepts, the results of the concept last a long time in students’ memory, the students’ thinking ability and memory of students in understanding mathematical concepts, therefore it can solve mathematics problems better. Discovery learning with link maps gives students better academic abilities.
Analysis of Landslide Mapping With Multicopter in Somangari, Kaligesing, Purworejo, Central of Java
Authors: Suroso Indreswari , Eko Prasetiyo Erwan
Published: July 2021

Drones are unmanned aircraft, drone function mapping one of them trough landslide. This research was conducted by direct observation in the field, namely Somangari Village, Kaligesing, Purworejo. This area is famous for landslide drone areas and is a concern of Central Java Province. This research uses a multicopter with four propellers. The method used in this study prepare for making a drone, survey area to flood and landslide in Somangari; planning test altitude in the air; calibration drone; taking an aerial photograph in area landslides and then analysis of data then mapping the area in Somangari. This drone can fly with a hight of up to 100 meters and can map an area of 1.5 km. This research with hot weather conditions and wind speeds of around 20 km/hour. Multicopter has the advantage of being stable against wind speed. Drone battery can be used for 20 minutes. Battery capacity is 5000 mAH with camera DJI Phantom. The advantages in this research are that the drone used DJI Phantom has a good camera, the drone is stable so that it can produce good aerial photographs. In Somangari Village, which is famous for areas prone to landslides and floods, has greatly helped the Purworejo Regional Disaster Management Agency and Purworejo Regional Government, Central Java. With the mapping of flood and landslide areas with a multicopter to help the Somangari village government to always be prepared to the rainy season.
Development of Vibration Isolator Magnetorheological Elastomer Based
Authors: Priyandoko G , Suwandono P , Ismail NR , Utomo WM , Ubaidillah
Published: July 2021

Most of the vibration isolator has fixed stiffness, such as a passive vehicle mounting system. This article presents the development of the adjustable stiffness engine mounting magnetorheological elastomers (MREs) based to reduce vibration. The development of MREs vibration isolator is to design of engine mounting first step, for next step is to simulate the electromagnetic circuit. The housing material selection and MREs thickness were considered to provide ample and uniform magnetic fields to change the stiffness. The innovative magnetic circuit design includes the type and size of the wire and the number of turns of the coil to obtain the best magnetic fields to eliminate vibration. Finite Element Method Magnetics (FEMM) software was used to show the effectiveness of the electromagnetic circuit to generate magnetic fields through the MREs. Finally, the varies current input influence to the MREs vibration isolator is investigated. The higher current input is more useful to eliminate vibration using MREs isolator system.
The Analyze of Relationship between Revenue and Customer Payment Methods in Small Medium Enterprise Based on Clustering K-Means
Authors: Marisa Fitri , Sakinah Syed Ahmad Sharifah , Izzah Mohd Yusof Zeratul , Mohammad Akhriza Tubagus , Purnomowati Wiwin , Kumar Pandey Rakesh
Published: July 2021

Business capital and revenue are not only the decisive of the health of SMEs but also they must be balanced. In general, customers find their benefit from the flexible payment methods while on the other hand the SMEs should get their benefit too. So that, it needs to be studied whether it is necessary for SMEs to get their profit in accordance to this situation. One of the methods that suitable to be applied is by applying customer groupings based on revenue and payment namely the K-means clustering method since it can raise several groups that have not been known before. This information is useful for SMEs to be utilized based on their needs. Data in this study were gathered from customer attributes, number of transactions, and payment methods. The number of centroids was 3. The grouping results were stopped at the 5thiteration. The finding showed that the ratio value of the 4thiteration and the 5thiteration having the same ratio value, 0.07393. From the results of the iterations can be found; first, based on the customers’ number, the groups can be classified into three C1(18%), C2 (45%), C3 (36%). Second, based on the average number of transactions, post-paid payments was in the first rank (12.7 / week). From the results, it can be analyzed that this situation is burdensome for SMEs because the more the number of transactions, the more investment must be prepared for accounts receivable.
Analysis Of Drug Data Mining With Clustering Technique Using K-Means Algorithm
Authors: Lia Hananto April , Assiroj Priati , Priyatna Bayu , Nurhayati  , Fauzi Ahmad , Yuniar Rahman Aviv , Shofiah Hilabi Shofa
Published: July 2021

Data processing is very important in the development of information technology. Almost all fields of work have information data. Data can be used to help analysis in work. At present, health information data is very important to be processed in order to help medical personnel to make decisions. So that the results of the right decision to help patients. Lately, drug data has been misused for information eliminating a depressed patient without a doctor’s prescription with a total data of 53766. The results shown are very large. So it requires very much attention from the government. As a result of the deviation of information and applied to the patient will result in death. Therefore, research needs to be conducted to group data on drug data. The source of research data is obtained from the UCI Machine Learning Repository Education website. The method proposed in this research is data mining. This solution can help researchers in the analysis of these data. One technique in data mining with clustering is using the K-means algorithm. The variables used are drug name, condition, useful count. The first research results can classify three categories consisting of using the highest drugs, using medium drugs and using lace drugs. Then the accuracy of the data is obtained with condition 99.45% valid records 53471, drug name 100% with valid records 53766, useful count 100% with valid records 53766.
Pineal Eye for Blind using Ultrasonic sensors
Authors: Sahana M S , Tejaswini S , Bhanu H S , Bhargavi K , Praveena K S , Jayanna S S
Published: July 2021

In regular day to day existence, blind individuals face various issues for their navigation. The fundamental aim is to acquire a gadget which is suitable for the entire visually impaired community. Ongoing occasions, they have developed various gadgets to help. However, most of them have certain issues and limitations, and it needs a lot of training to utilise. The normally existing strategies are difficult to utilise, so as to defeat with their confinements we have to propose another framework that gives less reliance on their day-by-day exercises. This system is proposed to build a device that helps the blind navigate and use public transport with ease and certainty.
Comparative analysis of CNN and Viola-Jones for face mask detection
Authors: SivaKumar M , Saranprasath N , Sridharan N S , Shanmuga Praveen V
Published: July 2021

According to the World Health Organization, the Coronavirus (COVID-19) pandemic is causing a worldwide emergency, and one safe way to cover oneself is to wear masks. This pandemic constrained governments everywhere in the world to force lock-downs to avoid the transmission of infection. Reports show that wearing masks at work diminishes the danger of infection. We assemble our model by utilizing the concept of deep neural learning and AI. The dataset comprises pictures with masked faces and non-masked faces. Several computer algorithms are there for face detection. But this analysis centers around two of the most widely recognized procedures: The Viola-Jones algorithm and the Convolution Neural Networks. We will check whether the individual in the image/video wears a mask or not with a CV and Deep neural learning. Not only finding out about face mask detection, but this project also introduced the chance to delve into the field of computer algorithms.
A Study on Different hardware and Cloud based Internet of Things Platforms
Authors: Payal Ravi , Singh Amit Prakash
Published: July 2021

This paper talk about various types of available Platforms related to Internet of things. For running various Internet of thing applications, there is a need of Hardware platforms and Software Platforms. Various types of Cloud based Internet of things (IoT) platforms are available. These IoT platforms are used for creating various types of research applications, scientific applications etc. Paper is divided into three main sections, first section discuss first about IoT, second section tells about various types of cloud based Internet of things (IoT) Platforms and third section talks about hardware platforms. Comparison between of Latest Cloud based IoT platforms is done.
Driver drowsiness detection system with opencv and keras
Authors: Vishnu R. , Vishvaragul S. , Srihari P. , Nithiavathy R. , Asmitha shree R.
Published: July 2021

Drowsiness of the drivers is the principal cause of injuries in the world. Because of loss of sleep and tiredness, drowsiness can occur even as riding. The first-rate manner to keep away from accidents because of drivers’ drowsiness is to come across drowsiness of the driving force and warn him before fall into sleep. To discover drowsiness many techniques like eye retina detection, facial function recognition has been used. Here on this paper, we suggest a way of detecting motive force drowsiness, the usage of eye retina detection and pulse charge detection of the driving force. On this record, we endorse an extra accurate drowsiness detection approach which is a hybrid technique of eye retina detection and pulse sample detection.
Sensor based Automized Solar Water Management System
Authors: Murugan K , Jeevitha E , Harini R K , Aswath S , Kabilesh B
Published: July 2021

Automized hot water management system is an automatic system for management of water, to form our standard of living simple and economical. The automated use of water referred to as water automation that may be a method to make sure the right use of water and scale back the human effort. The solar water heater may be a device that uses alternative energy to heat water for domestic, commercial, industrial desires and numerous desires. In solar heater, we do not get plight instantly. It’ll nearly take twenty liters of traditional water to produce plight in sunny days and in cloudy days quite fifty liters of water. On a median someone wastes 0-45 liters of water per day, nearly one hundred twenty five million liters of water wasted daily. In our system once there’s no availableness of plight from solar heater the cold water is taken to electrical heater and plight is made to user. Temperature sensor device is mounted on the faucet to acknowledge whether or not the new water is ready or not. The main objective of our project is to save lots of water and to form economical usage of water while not wasting.
Hybrid Chinese text classification model based on pretraining model
Authors: Zhaoye Xing , Xiaoqun Liu , Peijie Sun
Published: July 2021

In order to solve the problems of fuzzy boundary of Chinese words, polysemy of one word and the inability of traditional models to reflect the importance of each word in the text, a hybrid text classification model based on Ernie CNN and bilstm attention (mecba) is proposed. Firstly, Ernie model is used to generate the corresponding word vector, which can retain rich semantic information and enhance the semantic representation of words. Then, the word vector is input into CNN to extract local information, and the context feature is extracted by bilstm attention, and the output of the two is spliced; Finally, softmax classifier is used for classification. The experimental results show that the model is better than CNN, bilstm and other classification models, and can effectively improve the performance of Chinese text classification.
Research on Location Convergence Method Based on BeiDou Navigation System Satellite Enhancement
Authors: Hu Bo , Li Guangye , Cui Wenjun , Wang Tao , Zhang Jiaxin
Published: July 2021

Through mobile communication data transmission, the precise ephemeris and precise clock offset of the IGS website are obtained in real time, and the BeiDou star-based enhanced differential data is obtained through the receiver antenna; then a combination of dual-frequency ionospheric non-difference observations is used to eliminate the impact of the ionosphere. The average clustering algorithm is used to classify the location results, and the center point of each cluster is obtained. The center points of each cluster are added and averaged to get the starting point of PPP convergence. Finally, the fast convergence of PPP positioning results is achieved by using hatch algorithm.
Traffic signal image detection technology based on YOLO
Authors: Gao Hui , Wang Wenhao , Yang Chengjin , Jiao Weile , Chen Ziwei , Zhang Tong
Published: July 2021

The detection and recognition of traffic signal image is an important content in intelligent transportation system. It can be applied to driver assistance system to effectively recognize traffic signal signs on the road, so as to reduce the occurrence of traffic accidents. At the same time, it also provides strong technical support for the future unmanned driving system. The main content of this paper is based on the deep learning method, using YOLOv3 and YOLOv4 algorithm to detect and recognize the traffic signal image on the road. The experimental results show that the recognition result of YOLOv4 network is better than that of YOLOv3 network.
Image registration of SAR and Optical based on salient image sub-patches
Authors: Ge Yuchen , Xiong Zhaolong , Lai Zuomei
Published: July 2021

As a fundamental and critical task in multi-source image fusion, the registration of optical image and synthetic aperture radar (SAR) image can identify corresponding identical or similar structures from two heterogeneous images. Although Pseudo Siamese network has achieved notable success in matching heterogeneous images, the network prone to mismatch when there are blurred, duplicate or similar scenes appeared in the search image. To improve the performance, in this paper, the OPT-to-SAR image pair is cut into sub-patch pairs through a pre-defined sliding window. Then a two-stage image filtering mechanism is proposed to maintain candidate sub-patches with ideal texture information. After sending all the qualified sub-patch pairs into the Pseudo Siamese network, the final matching result will be passed through a RANSAC module. In this way, the interference from invalid image areas can be reduced and the model robustness can be ensured by using the statistic information of the whole image pair. A series of experiments conducted under various data scenarios proved the effectiveness of the method.
Geological hazard risk assessment based on GIS in Mianchi County
Authors: Liu Yingran , Sun Yu , Dong Qi , Wei Ningyu
Published: July 2021

The probability of surface collapse, landslide, collapse and debris flow is very high in hilly and mountainous areas of Mianchi County of western Henan province. The article obtained geological hazard district of Mianchi County though the analytic hierarchy process(AHP) to carry on the geological hazard risk assessment in the study area. Eight disaster-inducing factors were selected the density of disasters, slope gradient, slope height, slope shape, rock-soil body types, vegetation index, rainfall index, and engineering activity intensity based on the GIS platform and combined with the field investigation result of geological disaster points.
Counting of Pine Wood Nematode Disease Trees Based on Threshold Segmentation
Authors: Yu Bowen , Liu Yifan , Zhao Tong
Published: July 2021

Pine wood nematode disease is a very contagious and devastating forest pest. Finding infected trees in time, counting them, and clearing or selective cutting according to different diseased tree densities is the main way to control the spread of the disease. In this paper, threshold segmentation technology is used to reduce the adverse effects of interference factors such as buildings, rocks, and soil in the data set on density estimation, and finally a higher-quality density map is obtained to realize the counting of pine wood nematode diseased trees. Compared with the classic density estimation algorithm, the mean absolute error of this algorithm has dropped by 9.2, the root mean square error has dropped by 7.4, the variance of absolute error has dropped by 65.0, and the counting accuracy has increased by 19.6%.
Application Analysis of Virtual Simulation Training Platform in Practical Teaching
Authors: Liu Juan
Published: July 2021

This article starts with the application of virtual simulation training platform to practical teaching, and analyzes and researches the integration of practical teaching and virtual simulation technology. This article briefly describes the significance of integrating virtual simulation training platform into practical teaching, the specific path of applying virtual simulation training platform in practical teaching, and the precautions of virtual simulation training platform in practical teaching application. The author hopes that this article can provide a feasible new path reference for advancing the application of practical teaching in the new era.
Exploration and Research of Noise Automatic Processing Algorithm Based on Multi-scale Convolution Neural Network
Authors: Huang Jing , Chen Bidong , Tan Meijuan , Liu Miao , Jia Chao
Published: July 2021

This paper introduces the secondary development process of simcenter Test.Lab software. Using simcenter Test.Lab software’s multi language support and its advantages in noise test and analysis, combined with computer image recognition technology, an automatic noise processing algorithm system (LMS Test.Lab) based on Simcenter Test.Lab software test data is developed. The system is simple to use, high accuracy of data recognition, and can intelligently judge specific abnormal conditions. Engineers can use the secondary development program to do intelligent processing of specific data and automatic generation of test reports, which effectively improves the accuracy and efficiency of automatic data processing.
Path guidance based on landmark user preference fuzzy entropy weight model
Authors: Wei Chang , Wei Bo
Published: July 2021

Compared with electronic map or static point of interest (POI), the path guidance integrating landmarks with salience features can reduce the cognitive burden better. However, due to the influence of various factors on the significance of landmarks, specific mathematical formulas need to be constructed, and there is no unified formula construction standard. To solve this problem, considering the consistency of the idea between multiple factor comprehensive of landmark and multiple constraint optimal scheme decision of fuzzy decision, this paper constructs a fuzzy entropy weight model of landmark based on user preferences, which the actual values of landmark significance are converted to vague set values, and the weights of landmark factors are determined by fuzzy entropy of Vague soft sets. Subsequently, the landmark preference model and path guidance model are obtained and applied in the case of path guidance. Compared with the mathematical formula, the constructed landmark user preference model by fuzzy entropy of Vague soft sets reduces the construction complexity, and is an effective method to realize landmark preference and apply in path guidance.
Research on Crop Disease Classification Algorithm Based on Mixed Attention Mechanism
Authors: Chen Zhen , Cao Maoyong , Ji Peng , Ma Fengying
Published: July 2021

The prevention and control of crop diseases is an important measure to ensure the yield of crops, and the prerequisite for achieving this link is to improve the accuracy of crop disease identification. This paper constructs a new hybrid attention mechanism by realizing the serial connection of Spatial attention and Efficient Channel Attention (ECA)and proposes a new hybrid attention module Spatial_Efficient Channel Attention (S_ECA). This module is combined with the neural network to improve the disease classification and recognition ability of the network model, the network stability, and the overall performance of the network. In the classification of a part of the data of the crop disease data set in the 2018AI_Chllenger competition, a classification accuracy of 87.28% was achieved, which is an increase of 0.78% compared to the original network, thus verifying the effectiveness of the algorithm in this paper.
Application of Big Data and Artificial Intelligence Technology in the Prevention and Control of COVID-19 Epidemic
Authors: Wang Xiaoshu
Published: July 2021

This article analyzes the content related to big data and artificial intelligence technology. The author studied the characteristics of the COVID-19 epidemic, epidemic characteristics, and transmission routes. The author has studied the use of big data and artificial intelligence technologies in genome sequencing and analysis, intelligent medical diagnostic services, vaccine research and development and drug screening, reasonable scheduling of anti-epidemic resources, epidemic monitoring and early warning analysis, epidemic prevention inspection robots, unmanned delivery models, and epidemic robots Specific application. The purpose of this article is to give full play to the value of big data and artificial intelligence technology to improve the prevention and control of the COVID-19 epidemic.
Application of Computer Virtual Technology in Ceramic Packaging Design
Authors: Xiong Limei
Published: July 2021

At present, with the continuous development of science and technology, computer virtual technology has become one of the indispensable components in ceramic packaging design. These computer virtual technologies play an important role in the process of ceramic packaging design, effectively improving the efficiency and quality of ceramic packaging design, and the significance of its in-depth research is self-evident. Based on this, this paper discusses the application of computer virtual technology in ceramic packaging design. Firstly, it briefly discusses the related contents of ceramic packaging design and its basic design principles. Then, taking the actual product design as an example, it discusses in detail how the commonly used Rhinoceros and V-rayforrhinoceros can be effectively applied in ceramic packaging design, can be effectively applied in ceramic packaging design and their final results, with a view to providing reference for similar work in the future.
A WebGIS-Based Platform for Sewage Treatment Facilities in Villages and Small Towns Near the Lake Dian
Authors: Luo Wei , Liang Hong , Xu Wenjie , Kang Xiaolin
Published: July 2021

Lake Dian is one of “Three-river and Three-lake Project” that focus on water pollution prevention and control in China. Rural non-point source pollution is increasing year by year. In order to effectively control the amount of sewage from villages and small towns entering the lake, a full coverage of treatment facilities has been built near the Lake Dian. Among them, the facilities are scattered in the eight districts and two counties of Kunming City, Yunnan Province. It is so difficult to manage that we have to rely on WebGIS technology for management and analysis. This paper designs a visualization platform for sewage treatment facilities in villages and small towns, which is a three-tier system architecture of B/S model. The system takes the map engine of ArcGIS API for JavaScript and the component development of Vue.js as the technical core, combined with ArcGIS Online service portal and spatial database technology. It finishes function implementation such as the visualization of the treatment situation and data management. The platform can scientifically analyse the problems in the construction, management, and operation of sewage treatment facilities in villages and small towns. It improves the ability to share information, and provide decision-making support to the sewage treatment department of the Lake Dian.
Interest Contour Region Fusion Method based on Gaussian Mixture Model Segmentation
Authors: He Xinyu , Chen Shu , Li Yi
Published: July 2021

This paper presents an edge feature light-shadow fusion algorithm based on image segmentation. A new edge light shadow feature fusion algorithm based on image segmentation, morphological operation and image filtering is presented to extract target objects from image and fuse them with new background, which is cumbersome, difficult to operate, and lack of fast and effective target acquisition and feature fusion methods. The algorithm first labels the input image through an interactive system, then divides the labeled image to get the image target information, then processes the target object, obtains the edge of the target object, expands the edge to form a mask, combines the target object with the background, and filters through the edge mask to achieve the effect of fusing the target object with the background. The experimental results show that this method can process images with different complexity, not only to generate a combination of portrait and monochrome background, but also to generate a combination of other objects and natural scenery, so that the image can produce transitional natural effects.
Research on Workpiece Assembly Application Based on Machine Vision
Authors: Yang Hongwei , Hui Shuai
Published: July 2021

A workpiece assembly system based on machine vision is designed to resolve the difficulty of manual clamp and high requirements in the industrial production line. The system applies the template matching algorithm into positioning detection of the two workpieces, automatically assemble and unload after secondary calibration. Compared with the manual operation, the system has reduced operation difficulty greatly, and the speed and repeated assembly accuracy are greatly improved, which can meet the requirements of the production line.
Simulation-based optimization of a thermal neutron detector with SERS method
Authors: Chai K.K. , Wang K.K. , Chang S.Q. , Zhang H.Q.
Published: July 2021

A Monte Carlo simulation-based optimization of a SERS-based thermal neutron detector is aimed at improving detection efficiency for thermal neutrons. The moderator and collimator have been designed for a 241Am-9Be source to maximize the thermal neutrons flux in the irradiation area. Simulated thermal neutron detection efficiency can be increased to approximately 50.5% when polyethylene is added as neutron reflector and 10B enriched 4-MPBA is used. With Monte Carlo software GEANT4, the SERS-based thermal neutron detector has been proven to have almost no effect on original thermal neutron flux as well as the distribution and could be used for thermal neutron detection accurately.
Measurements correlated to efficiency studies of NaI(Tl) scintillator with vertical hexagonal radioactive source
Authors: Badawi M.S. , Thabet A.A.
Published: July 2021

Nowadays, many scientists work on the geometry change between source-to-detector arrangement to calibrate the 3”× 3” γ-ray NaI(Tl) detector based on the available sample shape in the laboratory. The calculated full-energy peak efficiency is more sensitive in radiation activity determination and can be estimated build on complex analytical and numerical techniques. In the present study, the full-energy peak and total efficiencies beside the peak-to-total ratio (P/T) for γ-ray NaI(Tl) detector concerning vertical hexagonal ^152Eu radioactive source is calculated for all γ-rays involved in the cascade and estimate the suitable correction for coincidence summing effects (COI) by mean of the numerical simulation method (NSM). The extra factors which cause the γ-ray attenuation taken into consideration as well, such as, source composition materials, “self-attenuation within the source itself”, the detector end cap with the other supporting materials around the detector crystal, the source container material, and the holder used during the measurement process. The theory of this methodology depends on the efficiency transfer technique; calculate the effective solid angle, that be positioned in between the source-to-detector system, besides estimating the path lengths of the γ-rays inside the hexagonal ^152Eu radioactive sources and the active medium inside the detector itself as well. The results gained in the present work gave an agreement between simulation and measured data. The results show that to improve the accuracy of the γ-rays detector efficiency, many technical and methodological aspects of the present method are fitting and possible for applications inside the radiation laboratory, industrial, and medical sectors.
Operational planning of WEF infrastructure: quantifying the value of information sharing and cooperation in the Eastern Nile basin
Authors: Verhagen Jeroen , van der Zaag Pieter , Abraham Edo
Published: July 2021

Integrating the planning of a multi-reservoir system in nexus with agricultural and electricity infrastructure could alleviate security concerns for these resources in regions where demand is growing while water and land scarcity are exacerbated by climate change and anthropogenic pressures. This study focuses on the benefits of resource integration and cooperation in the Eastern Nile basin. To overcome common limitations of equilibrium and soft-linked partial equilibrium models (e.g. high levels of spatial aggregation, non-insightful cooperation scenarios and a lack of heterogeneity), we propose a regional hard-linked WEF-nexus model that explicitly represents resource connectivity networks for water and electricity, and describes heterogeneity in resource availability, production potentials and physical constraints. Using a non-linear operational process, we optimise reservoir operations, water allocations, cropping patterns, electricity mixes and trade quantities on a monthly time-step over multiple years in a receding horizon fashion to maximize economic benefits for each country and regionally. This iterative implementation allows the modelling of operational changes as feedback against exogenous climate disturbances and enables information exchange between upstream-downstream countries. Thus, we describe four different levels of transboundary cooperation with their corresponding constraints and policy objectives. Compared to the reference scenario of unilateral planning, our results indicate an increase in regional economic returns for scenarios in which river flow information is shared between countries (+9%), river flow and trade information are shared (+10%) and WEF resources are coordinated regionally (+15%). These increased returns successively come from an increase in the effectiveness of agricultural water consumption, especially in Sudan, a change in trade patterns for agricultural products and a shift in cropping patterns. These findings underscore the importance of adequate representations of spatial and temporal heterogeneity of resources and their connectivity, as well as the need for a more diverse set of collaboration scenarios to facilitate planning in transboundary river systems.
Research on enhanced absorption technology of odour pollution
Authors: Deng Gaoya , Zeng Wenhao , Chen Dingsheng , Zeng Huanmu , Huang Jianhang , Chen Zhihang , Cen Chaoping
Published: July 2021

The Odor pollution problem in the feed industry was particularly prominent, which restricts the development of the industry and threatens the “vegetable basket” livelihood project. The air pollutant emission of feed processing enterprises were investigated in Pearl River Delta and its surrounding areas, find out the peculiar odor pollutants in feed industry through analysis and monitoring. With the characteristics of many kinds of odor pollutants and low threshold in feed industry, high efficient adsorbent was developed to explore the influence of adsorbent concentration, residence time, temperature and space velocity on the purification efficiency of odor gas, so as to achieve more efficient coordination of odor VOCs pollutants. In this study, a highly effective SCOP adsorbent was developed, and the removal rate of the main odor pollutants was more than 90%. It provides technical support for air pollution control and government environmental management of feed industry.
Combination blade roller for straw returning cultivator
Authors: Xiumei Zhang , Jumin Zhang , Junfang Xia
Published: July 2021

The straw was buried in field in transitory and busy farming season whether it’s paddy or dry land. Mechanized straw application was beneficial to solve the problem of straw burning, and also conducive to the fertility of soil and beneficial to soil improvement. It was an important measure to develop ecological agriculture and agriculture sustainable development. In order to solve the problem of crop residue burning, we designed a straw burying rotary tiller. It can bury crop straw not only in wet land, but also in dry land. It is suitable for tillage in middle and lower reaches of Yangtze River, where the principal crop rotation is wet land rice after dry land crop annually. Based on our previous research achievements, the cultivator for high stubble returning in paddy field and so on, are widely used. So there are two main kinds of cultivating blades in this rotary tiller. They are rotary blades IIT245 and spiral blades. The former blades are used to cut soil, while the latter blades are to bury straw. The results provide the basis for the structure optimization of the cultivator for straw returning and the improvement of its working performance, and also provide a suitable implement to achieve high stubble straw mulching and soil tillage in paddy field and dry land.
High sensitivity and specificity Enzyme-Linked immunosorbent assay for detection of Acetaminophen in herbal tea and liquor
Authors: Pu ShunChang , Lu Ning , Zhang HuiMin , Zhang Yu
Published: July 2021

The acidified structure of acetaminophen (ACA) and 3-Oxo-3-(phenylamino) propanoic acid (3-O-3) were used to couple bovine serum albumin (BSA) to prepare haptens, respectively. A highly sensitive and specificive competitive indirect enzyme-linked immunosorbent assay (ciELISA) method was developed for the detection of acetaminophen using 3-O-3-BSA for New Zealand white rabbit immunization to produce antibodies. The IC50 was 6.66 ng/mL, the detection limit was 0.32 ng/mL, and the quantitative detection range was 0.91-48.54 ng/mL. Comparing the performance of ACA-BSA antibody and 3-O-3-BSA antibody recognition of acetaminophen, it was found that the carbonyl site of 3-O-3 plays a major role in antigen-antibody recognition, while para-phenolic hydroxyl does not play an important role in the recognition process. The study provided theoretical guidance for the preparation of acetaminophen recognition antibodies, and established a rapid detection method for acetaminophen.
Analysis on the level and influencing factors of agricultural sustainable development in Qinghai Province
Authors: Juan Wang , Pengjuan Shi
Published: July 2021

The 14th Five-Year Plan puts forward the priority of developing agriculture and rural areas, comprehensively promoting the strategy of rural revitalization, and points out the need to accelerate the realization of agricultural and rural modernization [1]. The improvement of the level of sustainable agricultural development is one of the main factors to promote the improvement of the level of agricultural modernization. Based on the reality of Qinghai Province, this paper constructed the evaluation index system of the level of sustainable agricultural development in Qinghai Province from five aspects of agricultural economy, resources, environment, society and science and technology [2]. Entropy method was used to calculate the level of agricultural sustainable development in Qinghai Province from 2010 to 2019. The results showed that the level of agricultural sustainable development in Qinghai Province increased greatly from 2010 to 2019, with an overall growth rate of 126.74%. Based on the analysis of the obstacle degree model, the main factors that restrict the level of sustainable agricultural development in Qinghai Province ranked the top six. Thus, countermeasures and suggestions are put forward from four aspects, namely, enhancing agricultural output, improving agricultural environment, adding infrastructure and introducing professional and technical personnel.
Advances in the Prevention and Treatment of Colorectal Cancer (CRC) by Lactobacillus
Authors: Zhong Yiyang
Published: July 2021

Colorectal cancer (CRC) is one of the leading death-causing cancers in the modern society that is associated with the health of human gastrointestinal tract. It is frequently diagnosed in patients with unhealthy living habits, as well as disturbed gut microbiota. Current treatment of CRC remains to be primary treatments like resection and chemotherapy. According to recent studies, administration of probiotics, especially Lactobacillus strains have been shown to have beneficial effects in treating and preventing the development of CRC. This article discussed the current mechanisms of lactobacillus treating CRC, including 1) increasing immune response, 2) promotion of the health of gut barrier, 3) anti-inflammatory effect, and 4) suppressive effects on cancer cells. As administration of lactobacillus strains is considered a promising tool of treating CRC in vitro and in vivo, more studies need to be done in clinical trials.
Study on the Difference of EXP and PsEXPA10 in Ripening Period of ‘jinmi’ plum and ‘qingcui’ plum
Authors: Zhang Huiyi , Wang Huaer , Li Huizhi , Zhang Haonan , Duan Changwen , Qiu Xia , Wang Zhihui
Published: July 2021

The softening of plum fruit is an important factor affecting its promotion in production. In order to explore the changes of extension (EXP)during the ripening and softening stage of plum fruit, ‘jinmi’ plum and ‘qingcui’ plum were used as experimental materials to study the difference of EXP activity and PsEXPA10 expression during plum maturation and softening period. The results showed that as the fruit matured, the hardness of the fruit decreased, but there was a difference in the magnitude and rate of decrease between the two varieties, and the decrease of ‘Jinmi’ plum was even greater. The expression trends of EXP and PsEXPA10 were basically the same. At 81 d after flowering, the expression of PsEXPA10 in peel and flesh of ‘jinmi’plum was the highest, and the activity of EXP reached the highest at 88 d after flowering. The expression levels of EXP and PsEXPA10 in peel and flesh of plum were gradually increased, and the highest values of PsEXPA10 expression in flesh of plum were all at 109 d after flowering, except that the expression level of PsEXPA10 in flesh of plum was at 102 d after flowering. The results showed that EXP was closely related to plum fruit ripening and softening. And this study also laid a foundation for further exploring the molecular mechanism of EXP’s role in plum fruit softening.
Effects of calcium on gluconic acid accumulation in ‘Shine Muscat’ grape
Authors: Wang Pei , Huang Yan , Wang Xiao , Wang Jin , Liu Fang
Published: July 2021

Five year old “Shine Muscat” grape was used as material to spray amino acid calcium and water-soluble calcium solution on grape leaves and ears during fruit expansion and color changing stages. The effects of exogenous calcium fertilizer on the formation of fruit rust and fruit quality of “Shine Muscat” grape were studied in a randomized block design with 1000 times of amino acid calcium solution and 1500 times of water-soluble calcium solution, and the spraying water was used as the control. The results show that: compared with calcium fertilizer in fruit expanding stage, it is more beneficial to the accumulation of sugar components in pericarp to spaying calcium fertilizer in turn-color stage. The content of sugar in pulp can be increased by spraying calcium fertilizer compared with water in fruit expanding stage. Spraying calcium fertilizer in turn-color stage can promote the degradation of malic acid and citric acid in the pericarp of mature grape and inhibit the degradation of tartaric acid. Spraying calcium fertilizer in fruit expanding stage can promote the degradation of citric acid in mature grape pulp, while calcium amino acid can inhibit the degradation of oxalic acid and tartaric acid and promote the degradation of malic acid. Spraying calcium fertilizer in turn-color stage can promote the degradation of organic acids in mature grape pulp. Combined with the content of soluble sugar and titratable acid, spraying 1500 times of soluble calcium in fruit expansion period is beneficial to improve the fruit quality of “Shine Muscat” grape.
Influence of potato variety and PVY infection on aphid behaviour: preferences from Myzus persicae and Macrosiphum euphorbiae
Authors: Zhou Haibo , Yu Teng , Chen Longsheng , Li Weiwen , Dong Ling , Sun Song
Published: July 2021

In order to determine the potential effects of potato plant infected by Potato virus Y (PVY) on the biology of aphid vectors, plastic box experiments were set up to study the preference of two of the most efficient PVY vectors, Myzus persicae (Sulzer) and Macrosiphum euphorbiae (Thomas). Aphid-plant selections were assessed 4h and 8h after aphid set in observation chamber presenting dual choices using two potato varieties, cv. Désiré e and cv. Bintje. Experiments show that both M. persicae and M. euphorbia preferentially settled on cv. Bimtie potato plants infested by PVY when compared to healthy potato plants after 4h and 8h. Compared healthy cv. Désirée plant and infested cv. Désirée plant, M. persicae tended to choose healthy plant, no significant preference for M. euphorbiae was found. When both cv. Bintje and cv. Désirée plant were infested by PVY, M. persicae tended to choose cv. Désirée plant, whereas M. euphorbiae made a choice to cv. Bintje plant. While the healthy plants were also compared, no significant preference for M. euphorbiae was observed, M. persicae preferred to cv. Désirée plant in dual-choice experiment. Results of our studies could help to further increase the knowledge on aphid dynamics and viral epidemiology in the potato cropping systems.
The Effects of different agricultural management measures on CH4 emission from paddy fields in southwest Shandong Province
Authors: Shen Yi Lin , Yu Shu
Published: July 2021

The field experiments were conducted on garlic stubble rice fields in southwestern Shandong Province. The experimental program was designed and the influence of different agricultural management measures on CH4 emission flux and the factors affecting CH4 emission were analyzed. The results show that although temperature affects CH4 emissions from paddy fields, it is not the only influencing factor. Compared with submerged irrigation+no basal fertilizer method, the CH4 emission flux of intermittent irrigation+basal fertilizer method is significantly larger; under the same submerged irrigation method, applying basal fertilizer is beneficial to CH4 emission. In the submerged irrigation+basal fertilizer mode, tillering fertilizer is more conducive to methane emission than panicle fertilizer. The use of intermittent irrigation method to apply appropriate amount of base fertilizer and tiller fertilizer can effectively control the increase of rice yield and the reduction of CH4 emissions in the rice field. The above operations can increase agricultural production and income and reduce greenhouse gas emissions.
Sustainable Asphalt Concrete for Road Construction and Building Material
Authors: Abuaddous M , Dahim M , Ismail R , Taamneh M , Alomari A H , Darwish W , Al-Mattarneh H
Published: July 2021

In this study, the possibility of producing new geopolymer concrete from olive oil waste in Jordan is presented. Olive oil residues in Jordan and many Mediterranean countries constitute a major environmental and health problem. So far, the waste is disposed of by means of sanitary landfill, and this poses an environmental risk and pollutes the groundwater, the main source of water in Jordan. The ash remaining from burning olive oil residues was used to produce geopolymer concrete by adding sodium hydroxide and without using any Portland cement. Mixtures were prepared using the central composite design. The focus was on the two most important factors affecting the properties of geopolymer concrete, which is the amount of ash and the amount of alkaline solution. After curing the concrete and passing 28 days, the compressive strength, slump, absorption, and porosity were measured. The Results of compressive strength, absorption and porosity was excellent in comparison with the results obtained from conventional concrete. Despite the promising results the slump of the proposed concrete is low, and the slump loss was very fast. Further studies are needed to improve the workability of geopolymer concrete from olive oil waste. This concrete allows to recycle a large amount of olive waste in Jordan and many other countries which reduce the impact on health and environment.