bluuebunny/crossref_metadata_2025_split huggingface dataset:
Acute Physiological Response to Light- and Heavy-load Power-oriented Exercise in Older Adults
Authors: Rodriguez-Lopez Carlos , Alcazar Julian , Losa-Reyna Jose , Carmona-Torres JuanManuel , Cruz-Santaella Aurora Maria , Ara Ignacio , Csapo Robert , Alegre Luis M. 
Published: April 2021

AbstractThis study investigated the acute responses to volume-load-matched heavy-load (80% 1RM) versus light-load (40% 1RM) power-oriented resistance training sessions in well-functioning older adults. Using a randomized cross-over design, 15 volunteers completed each condition on a leg press. Neuromuscular (maximal isometric force and rate of force development) and functional performance (power during sit-to-stand test), lactate, and muscle damage biochemistry (creatine kinase, lactate dehydrogenase and C-reactive protein serum concentration) were assessed pre- and post-exercise. Performance declines were found after heavy-load (Cohen’s d effect size (d); maximal isometric force=0.95 d; rate of force development=1.17 d; sit-to-stand power =0.38 d, all p<0.05) and light-load (maximal isometric force=0.45 d; rate of force development=0.9 d; sit-to-stand power=1.17 d, all p<0.05), while lactate concentration increased only after light-load (1.7 d, p=0.001). However, no differences were found between conditions (all p>0.05). Both conditions increased creatine kinase the day after exercise (marginal effect=0.75 d, p<0.001), but no other blood markers increased (all, p>0.05). Irrespective of the load used, power training induced non-clinically significant decreases in sit-to-stand performance, moderate declines in maximal isometric force, but pronounced decreases in the rate of force development. Furthermore, the metabolic stress and muscle damage were minor; both sessions were generally well tolerated by well-functioning older adults without previous experience in resistance training.
Mesenteric Lymphatic Malformation Causing Midgut Volvulus in an Adult: An Unusual Presentation
Authors: Prasad Surya Nandan , Singh Rani Kunti R. , Chaturvedi Pragya , Singh Vivek 
Published: April 2021

AbstractMesentery is an uncommon location for occurrence of lymphatic malformations. Lymphatic malformations causing midgut volvulus are described in pediatric population; however, it is a rare presentation in adults. We present case of 20-year-old man with a large mesenteric lymphatic malformation who presented with acute abdominal complaints. On radiological work up, the lymphatic malformation was seen causing midgut volvulus and closed loop small bowel obstruction with the presence of classical whirlpool sign. The patient underwent emergency surgery and the lymphatic malformation was completely excised along with resection of a segment of small bowel loop.
The intersection of nation and gender in the Linguistic Landscape of Ireland’s Eighth Amendment referendum
campaign
Authors: Strange Louis 
Published: April 2021

Abstract
In May 2018, voters in the Republic of Ireland passed a referendum proposal to repeal the Eighth Amendment of the
Constitution, lifting the Irish state’s near-total ban on abortion. Scholars have argued that Ireland’s abortion ban has
historically played a key role in the construction of Irish national identity along Catholic, traditional, and heteronormative
lines, meaning the lead-up to the vote allowed for key insights into the discursive construction of national identity and gender
in Ireland. Drawing on theoretical discussions in both the nationalism and Linguistic Landscape (LL) literature and adopting a
qualitative, multimodal approach to analyse the referendum campaign’s LL, I argue that there was a dominant understanding of the
relationship between women and Irish national identity, predicated on a positive stance towards Irish identity, while any
dissenting voices which questioned whether advancing gender equality was compatible with nationalist ideology were confined to the
margins of the debate.
Development on Compensating Unbalanced Load of Energy Storage Converter in Distribution Network
Authors: Chen Tiancheng , Chen Weimin , Chen Jianming , Dai Ruijin , He Yilin 
Published: April 2021

Abstract
By analyzing the current equivalent circuit of unbalanced load, the mathematical model of the three-phase four-wire energy storage converter in the dq0 coordinate system is established. Comparing the characteristics of the Decouple Double Synchronous Reference Frame (DDSRF)and the Delay Signal Cancellation (DSC) to decompose the positive and negative sequence line parameters, the DSC with faster dynamic response is selected for the practical application effect. Compensate the decomposed zero sequence component and negative sequence component. The DC component is adjusted by Proportional Integral (PI) controller, and the AC component is controlled by Proportional Resonance controller (PR) to achieve no static error. Finally, a split capacitive energy storage converter system is built in Matlab/Simulink for simulation verification, which proves that the control strategy can effectively compensate the current asymmetry caused by load unbalance.
Data Science in Face Recognition System Based on BP Neural Network
Authors: Ziqiang Ma , Zhang Guidong 
Published: April 2021

Abstract
With the rapid development of economy, people have higher and higher requirements for the performance of security system. The traditional access control system based on face recognition based on deep learning has gradually replaced the traditional access control system. This paper mainly describes the concepts of BP neural network and face recognition, and improves and designs a face recognition system. The detection accuracy of the system reaches 97.8%, the false detection rate is 0.8%, and the leakage rate is 0.8% the detection rate is 1.4%, and the accuracy of face recognition is 96.7%, which can well meet the requirements of contemporary face recognition.
Application Analysis of Virtual Reality VR Technology in Art Design Teaching
Authors: Du Sijia 
Published: April 2021

Abstract
The rapid growing of Internet promotes the emergence and application of teaching methods and new teaching media. When multimedia is widely used in teaching, teaching technology is updated very quickly, and virtual reality technology, a new teaching media, has emerged. Traditional environmental art design creation and expression methods cannot fully satisfy the development requirements of the digital period, and new technical forces are needed to enrich and expand the content and tension of art design, the art design industry also needs VR technology, which should have more new vitality. This article will study virtual reality technology from the perspective of educational technology, as a new educational technology, and on this basis, put forward a new research field related to educational technology-virtual reality VR technology teaching. After studying the types of VR technology characteristics and actual teaching cases, the concept of desktop VR technology intervening in experimental model making courses is proposed, a virtual learning environment is constructed, and the objective reality generated by the use of knowledge is reproduced, thereby imparting knowledge points It is provided to students and guides them to use their own senses such as vision and hearing to receive information in the virtual environment, which enhances students’ interest in learning and their own sense of innovation, enhances students’ ability to actively exert their own imagination, and greatly reduces The hardware cost improves the learning effect of users.
Development of Evaluation System for Rural Planting Adaptability Based on Computer Technology
Authors: Xu Zhiyi 
Published: April 2021

Abstract
With the rapid development of computer technology, there are many researches on the use of computer technology to deal with the adaptability of rural planting. Aiming at the problem that a large number of basic farmland evaluation results have not yet been fully utilized, with the help of the enterprise manager and component technology of Map GIS K9, combined with Visual C 2008, a crop planting adaptive selection system based on the analytic hierarchy process is proposed, which realizes the rural planting Feature functions such as decision analysis, crop sales, 3D roaming and Google Map connection, and added basic functions such as spatial query, image file operation, spatial data analysis, etc., provide a reasonable and efficient evaluation system for the adaptability of rural crops. Use the design of rural planting adaptability assessment system to investigate the temperature and soil conditions in the planting area, analyze the villagers’ willingness to change land use and the ecological adaptability of alternative species, and determine the construction of standardized production bases for alternative species within the planting area. The construction of a demonstration project for the introduction of new varieties, adjustment of the industrial planting structure, increasing the income level of local farmers, improving the ecological service function of the planting area, and establishing a deeper system for the long-term sustainable use of land, the evaluation of ecosystem services, and the evaluation of rural planting adaptability Provide support for level of exploratory research.
Error Analysis and Fault Diagnosis of CNC Machine Tools under Artificial Intelligence Technology
Authors: Wang Jun 
Published: April 2021

Abstract
With the development of technology and the arrival of the era of artificial intelligence, the relationship between machine and human is becoming closer and closer. This paper mainly studies the error analysis and fault diagnosis of CNC machine tools based on artificial intelligence technology. The detection of machine tool error is mainly completed by laser interferometer. In this paper, a dual frequency laser interferometer is used. In order to ensure the efficiency of the program, the display image is refreshed in 20ms. According to the structure analysis, the error branches of CNC machine tools are determined, and the position feature relationship and motion feature relationship between adjacent bodies in each error branch are analyzed. In this paper, the fault tree analysis method is used to establish the fault tree model of computerized numerical control machine tool, and the fault reasoning method based on fault tree is given. On this basis, the deep neural network model is used to classify and identify the difficult to identify features such as fault degree, so as to achieve the purpose of deep fault diagnosis. The data show that the average recognition rate of BP network before feature reduction is 82%, and the average recognition rate of BP network after feature reduction is 86%. The results show that artificial intelligence technology can improve the accuracy of error analysis of CNC machine tools.
Implementation of Large Instrument Sharing Platform Based on District, University and Enterprise
Authors: Huang Yingying , Xie Nan , Ni Yiran , Lu Qiaofeng , Chen Weimin 
Published: April 2021

Abstract
Large-scale instruments sharing platform has been completed based on using Java language to program, and using spring Boot framework technology for building the background project, and using MySQL database to store the data, and using Vue to design the front-page, which will been shared and used in District, University and Enterprise. The test system of eclipse is used for case test to realize the sharing function of large-scale instruments. Through this platform, the instruments’ information and leasing of large-scale instruments can be understood in real time, and the status information, online use records, equipment using experience, and online booking, comments and customer service consultation can also be carried out on the platform, so as to make rational and efficient use of large-scale instruments, reduce the using waste of large-scale instruments, and be more conducive to the sustainable development of economy, science and technology and expand the scope of resource sharing.
Integration of Information Technology and PE Teaching Process
Authors: Yang Chaozhi 
Published: April 2021

Abstract
Since entering the new era, with the rapid development of information technology and the acceleration of the process of global economic integration, many aspects of my country’s social life and economic fields are undergoing profound historical changes. The integration of information technology and physical education is becoming a hot topic in my country’s current information technology education and even the entire education informatization process. The purpose of this article is to study the integration of information technology and physical education process. This article uses modern information technology to integrate with physical education. The teaching effect produced by it is significantly better than the traditional teaching model. It can more effectively solve the difficulties in the textbook, and can help students establish movement representations and understand movements faster. Essentials to stimulate students’ interest in learning. This research systematically elaborates the connotation and significance of information technology and the impact of information technology on middle school physical education, and scientifically explores the physical education curriculum, analyzes the basis and conditions of the integration of physical education and information technology education, and studies the information technology and middle school through teaching experiments. The mode and effect of physical education integration. This article takes the university’s physical education major curriculum integration as the research object, and conducts research and analysis through literature method, questionnaire survey method and mathematical statistics method to define the level of information technology and physical education major curriculum integration. Investigation and research show that more than 30% of physical education humanities teachers can often find a suitable resource bank and obtain relevant teaching materials, but the lack of targeted physical education software largely affects teachers’ access to resources.
Pollution-Free Cultivation Techniques of Leafy Vegetables under the Background of Information Technology
Authors: Duan Xi , Wang Jinquan , Liu Min , Hao Shuqin 
Published: April 2021

Abstract
China is one of the world’s agricultural development powers, vegetables in agriculture is worthy of the majority of planting. With the improvement of people’s living standard, “eating Chinese cabbage” has become the focus of people’s general attention. This paper mainly studies the analysis of the pollution-free cultivation techniques of leaf vegetables under the information background. Aiming at the defects of the existing vegetable cultivation expert system in protected areas, such as single function and several vegetables, the vegetable network expert system for disaster mitigation and cultivation has no public cellar, and the design and implementation of the system are introduced. The development of the system is oriented towards the majority of agricultural technicians and farmers, and provides them with a service platform for the safe production of vegetables in protected areas, the identification and prevention of major diseases and insect pests, scientific management, and so on, has a strong practical value and development prospects of grassroots.
The Function and Application of 3D Visualization in Power Operation and Maintenance System
Authors: Xia Pin 
Published: April 2021

Abstract
Traditional power system monitoring of substation and distribution related equipment often relies on sensor measurement parameters and relay action displayed on the system platform, and it is often difficult to intuitively obtain power system operating status information. In unmanned operation and maintenance, smart substations and other systems there are many shortcomings in the design process. Three-dimensional visualization technology provides a boost to the upgrade of the power operation and maintenance system, which can realize the identification of the physical image of the power equipment and the display of the three-dimensional model, and can combine the big data processing technology to realize the efficient operation and maintenance management of the power equipment. In the process of specific applications, electric power companies can correlate the actual operation of power equipment with the operation and maintenance system, and can also assist operation and maintenance managers in decision-making analysis by obtaining relevant data including three-dimensional time and space, but can also build a simulation platform Space to assist in relevant training.
Construction of Seismic Cloud Platform Based on OpenStack
Authors: Yin Yuzhen , Yu Cheng , Guan Yiliang 
Published: April 2021

Abstract
Based on virtualization technology, cloud computing realizes resource sharing according to its application to meet business requirements. Such a platform can effectively save resources and provide customers with more quality services. Due to the large amount of seismic data processing and that of computing tasks of seismic cloud platform, the whole cloud computing technology and cloud computing platform construction need to be ensured. At present, there is no large-scale application of the current computing platform, it mainly focuses on the construction and research of private platform. Based on the standard system of OpenStack, this study first analyzes the current situation and problems of seismic cloud platform, then designs the seismic cloud platform, and finally elaborates the construction, deployment and functional application of the platform from the perspective of heterogeneous cloud.
Research on Mooring System under Static Equilibrium
Authors: Chai Wangyang , Liu Yifan , Zhang Ziyi , Tang Jiaying , Zhang Tong 
Published: April 2021

Abstract
As an important treasure house of territorial resources, the ocean has been paid more and more attention in recent years. In this paper, according to the actual working situation of the transmission node of the near shallow water observation network, the anchor chain system, the steel barrel system, the steel pipe system and the buoy system are analyzed. The model is established through the connection between the systems, and then the model is improved according to the specific situation of the three problems. The state of each system is analyzed and solved, and the good design of the mooring system is given according to the data The scheme of calculation.
Information Design Used In Metro and Public Service System in China
Authors: Chen Mengqian 
Published: April 2021

Abstract
Information design has become more and more popular these days as we have step into a smart phone new era. This document take a survey on some of the main metro station based in shanghai, and analyzed the pros and cons of the information design in existing metro system. Also explained how better information design can be put to use in order to refine user experience when taking metro.
Analysis of the Effectiveness of Online Teaching Based on Big Data
Authors: Zhang Hanping 
Published: April 2021

Abstract
Online teaching is a new teaching method that has emerged with the development of the Internet. Online teaching can realize remote teaching with the help of a network platform, which can not only meet the learning needs of students anytime and anywhere, but also achieve the purpose of teacher-student interaction and personalized teaching. Applying big data to online teaching can undoubtedly improve teaching efficiency to the greatest extent. This article will analyze the effectiveness of online teaching based on big data, and point out that the use of big data analysis can improve the pertinence of teaching and improve the effectiveness of online teaching. Effectiveness improves the quality of teaching.
Status of Cloud Computing in Data Intensive Data Center
Authors: Zhao Dalin 
Published: April 2021

Abstract
With the advent of big data era, data intensive computing has been widely concerned by the industry, but the research on data intensive center is still in its infancy. With the development of science and technology, the emergence of cloud computing has brought great convenience to people, and has become a research hotspot for a time. This paper analyzes the application status of cloud computing in data intensive data center. In the research, we analyzed the application status of cloud computing in data intensive data center. Taking data decision-making as an example, we studied the application effect of cloud computing in data intensive data center by analyzing the influence of different number of data sets and data centers on the time cost of data transmission. The results of this paper show that by 2019, the corresponding rate of cloud computing in data decision-making, data security and data management has reached 88%, 92% and 95% respectively. Moreover, the research results show that the application of cloud computing in data intensive data center can effectively reduce the time cost of data transmission and achieve good application effect.
RETRACTED: Research on the Application of Cloud Accounting in Government Accounting under the Background of Big Data
Authors: Li Sijin 
Published: April 2021

Abstract
In the era of big data, cloud computing and big accounting data are combined to build a cloud accounting application platform that mainly integrates spatial distribution, security, accessibility, and the importance of transforming the state of accounting information. In the face of the wave of economic development, cloud accounting will also begin to be applied to administrative agencies and show great vitality in these departments. On this basis, this article focuses on the application of cloud accounting in government accounting under the background of big data. This article attempts to analyze the characteristics of cloud accounting to explore its functions and application services. In the new requirements of the new government accounting system, the importance of “big data” in the implementation of the new government accounting system is systematically analyzed. The use of cloud accounting in the government compares the settings and levels of the application with traditional government accounting work. The research results show that the emergence of cloud accounting is a major change in the accounting industry. It improves production efficiency and reduces company costs, and is favored by units. But cloud computing has some disadvantages. In today’s digital age, how to make cloud accounting a foothold takes a long time to think about how to make cloud accounting seize opportunities and respond to challenges.
Based on the Optimal Learning Algorithm of Vortex Search, the Prediction of Oil Field Development Index is Studied
Authors: Tian Jin 
Published: April 2021

Abstract
Nowadays, with the development of the times, many times we will use high-tech to enrich and facilitate our lives, and as the backbone of our energy system - the oil industry, is no exception. Especially in the current oil field oil storage is insufficient, but also to strictly control oil exploration in the field to ensure the stability of the entire national system. Therefore, in order to strictly control the development forecast of oil fields, this paper uses the optimization learning algorithm based on vortex search to control this. In this paper, with the support of existing technology, sandbox simulation and eddy current algorithm are used to model the future oil field development without disclosing oil field information and actual reserves. The experimental results show that the selection of a suitable algorithm can predict the development index of oil field within a certain range, and the general error rate is not more than 5%.