bluuebunny/crossref_metadata_2025_split huggingface dataset:
An experimental study of the carbohydrate exchange method combined with aerobic exercise to intervene in the physical health of obese college students
Authors: Luo Guangxia , Cao Miao , Zhao Xiaopeng , Wu Gang , Wang Chunli , Yu Hui , Li Ming , Liu Ming , Liu Yang 
Published: September 2023

Abstract
The purpose of investigating the carbohydrate exchange method in combination with aerobic exercise for obese college students is to help college students have better bodies to cope with their academic life. This paper introduces the qualitative and quantitative analysis technique based on near-infrared spectroscopy, starting from the analysis of the carbohydrate exchange method, and explains the physical, mathematical, and chemical information bases, respectively. A NIR detection model is constructed using the NIR spectroscopy detection method, and the main evaluation indexes of the model are given. Three experimental groups, namely, carbohydrate exchange method, aerobic exercise, and carbohydrate exchange method combined with aerobic exercise were set up to investigate the physical health interventions for obese college students. In the single test, the FPG, BUN, TC, and HbA1c values of the subjects in the carbohydrate exchange experiment group were reduced by 18.61%, 17.33%, 11.09%, and 18.16%, respectively. The FPG, BUN, TC, and HbA1c values were reduced by 23.42%, 18.84%, 11.62%, and 13.48%, respectively, in subjects in the aerobic exercise experimental group. From the carbohydrate exchange method combined with the aerobic exercise experimental group, the subjects’ FPG, BUN, TC, and HbA1c values were reduced by 28.38%, 22.24%, 11.27%, and 27.4%, respectively, which was a better level of intervention than the single experimental group. Thus, the carbohydrate exchange method combined with aerobic exercise can be an effective intervention for the physical health of obese college students.
Design of a text evaluation and interaction system for university English textbooks based on a perceptual machine model in the context of globalization
Authors: Lei Wanrong 
Published: September 2023

Abstract
In the globalization of big data, how to use big data technology to evaluate the text of college English teaching materials and design the interactive system is a hot issue of current concern. In this paper, firstly, we design the interactive system of university English teaching based on the middle dense vector, knowledge embedding vector, learning feature vector, and other letter cores of fused interactive information, implement the interactive interaction system and debug it. Then the index system is constructed based on the evaluation data of English majors and students in a Normal University on university English teaching materials. Finally, the university English teaching materials evaluation grade data analysis uses a multilayer perceptron neural network. The results showed that the accuracy rate of nine indicators was 73.56%~80.36% for excellent evaluation grade, 86.23%~88.53% for good evaluation grade, and 63.96%~69.43% for average evaluation grade. The accuracy rate of good evaluation grades is higher than the other two categories. This study comprehensively and accurately analyzes the text evaluation of college English textbooks by English majors and students in central China; this university to improve the applicability and group of college English textbooks in a targeted way and promote the improvement of the teaching quality of college English courses in universities.
Improvement of the financial management supervision system of universities in the context of big data
Authors: Shan Jingjing 
Published: September 2023

Abstract
This paper first describes the process of the BP neural network mining algorithm, then applies the optimization algorithm to optimize the BP neural network model to improve its performance. The data mining algorithm is used to mine the financial management and supervision data of colleges and universities and analyze the problems in the financial management and supervision system of colleges and universities in terms of the financial management reimbursement process, budget process, financial information entry, and financial supervision respectively, and put forward suggestions for improvement. Regarding the awareness of financial information in colleges and universities, only about 30% of the people in each project said they understood it. In terms of financial work satisfaction, more than 50% are satisfied and very satisfied. On the problems of the reimbursement process, 87.75% of people think the approval process is long, 70.5% think the reimbursement rework rate is high, and 57.6% think the reimbursement queuing time is long. It is difficult to track the budget progress on a financial budget, lack of modern technology in the financial system, and lack of budget supervision are the top three, accounting for 77.3%, 77.5%, and 69.6%, respectively. Financial management in universities should keep up with the times and actively reform for the existing problems.
The use of new media technology in the creation of media animation under the threshold of big data
Authors: Guan Ping 
Published: September 2023

Abstract
This paper first introduces the support vector machine mining algorithm to find the optimal linearly bounded hyperplane utilizing a nonlinear transformation. Then the algorithm’s comparison criterion is introduced, and its performance is evaluated in terms of accuracy and other aspects. Finally, the support vector machine mining algorithm is used to mine and analyze the problems of traditional animation and the impact of new media technology on the creation of media animation. Among the existing problems, the most important one is that 67.9% of people think the animation content has no connotation and is boring. 7.8% of people think that the technology is not up to the standard and the use of new technology is lacking, and 55% think that the theme is old and repetitive. In the influence of new media technology on media animation creation, 67% think new media technology makes animation themes diversified, 73% think new media technology makes animation content young and theme civilians grounded. 79% think new media technology keeps animation creation up with the times, and connotation and creativity are improved. New media technology makes media animation’s connotation theme sublimated, but it also should reflect on its shortcomings in time with the development of the times.
Information technology system to promote drug production command supervision
Authors: Zhou Jing 
Published: September 2023

Abstract
Drug quality problems caused by problems in drug production processes generally cannot be effectively controlled by current drug quality standards, leading to potential safety risks for drugs. This paper applies the information system to promote the command and control of drug production to the quality control of the drug production process. By using five key quality technology points affecting drug quality as the input of the improved PSO-BP algorithm for network training based on the GMP (Good Manufacturing Practice) standard, the output of the classification prediction network is used to determine whether the drug is qualified or not to achieve the purpose of drug quality control. The parameters of the BP algorithm are optimized to minimize the output error after the PSO algorithm is improved by invoking the linear variational operator. The results show that the average absolute error and the average relative error of the improved PSOBP algorithm are 0.129 and 1.86%, respectively, and the average absolute error and the average relative error of the PSOBP algorithm are 0.694 and 8.28%, respectively, compared with the PSO-BP algorithm, the error of the improved PSOBP algorithm is effectively reduced. The improved PSO-BP algorithm proposed in this paper can be used for drug production command supervision, and it effectively reduces the inferiority rate of drug production and fundamentally eliminates the circulation market of inferior drugs.
Exploring English-Chinese Translation Skills Based on Big Data Technology
Authors: Hu Rong 
Published: September 2023

Abstract
This paper first explores and evaluates English-Chinese translation skills through deep learning in machine learning based on big data technology, focusing on applying convolutional neural networks and long and short-term memory network models in English-Chinese translation. Then it is to construct a deep learning evaluation model based on the dataset with text-level labels of English-Chinese translation. The structure of the deep learning evaluation model consists of three categories: data representation of text, feature extraction of text, and text classifier. Finally, the research object is determined from the purpose of the study, and the data analysis is performed on the experimental and control groups using the deep learning model to characterize the fluency by the continuous convergence of the data. The results showed that the continuous convergence of the experimental group remained in the range of 76.95% to 82.6%, and its average value was 79.76%. The continuous convergence of the control group remained in the range of 60.15% to 71.92%, with a mean value of 67.02%. The average convergence value of the experimental group was 12.74% higher than that of the control group, and the experimental group outperformed the control group. This study should learn and cultivate English-Chinese translation skills while improving the efficiency and accuracy of English-Chinese translation, which is a guiding reference value for the progress of translation talents.
Empirical evidence of coupling and coordination between circular economy and foreign trade based on big data
Authors: Liu Qian , Yao Xuesong , Pei Lei 
Published: September 2023

Abstract
Promoting foreign trade development based on a circular economy is the key to dealing with the problems between the resource environment and economic growth. This paper first constructs a comprehensive evaluation index system of circular economy and foreign trade by taking 19 urban agglomerations in China as research objects. Secondly, the entropy value method is used to measure and analyze the circular economy development and foreign trade development of Chinese urban agglomerations from 2014 to 2021. Finally, the coupled coordination level of circular economy and foreign trade of Chinese urban agglomerations was measured using the coupled coordination degree model in physics, and the spatial and temporal evolution process of the synergistic development of circular economy and foreign trade of Chinese urban agglomerations was studied. The results show that the mean values of the coupling coordination degree of circular economy and foreign trade in the east and west regions of China from 2014 to 2021 are generally maintained above 0.85, and all tend to 0.95 equilibrium value, which is at a high coupling stage, indicating that there is an obvious interaction between the circular economy and foreign trade in China. This paper analyzes the spatial and temporal evolution of the coupling degree and coupling coordination degree of circular economy and foreign trade in Chinese urban agglomerations and provides a theoretical basis for governments at all levels to formulate policies and regulations on the synergistic development of circular economy and foreign trade in Chinese urban agglomerations.
The use of management accounting and financial accounting in financial management based on multiple linear regression algorithm
Authors: Liu Yu 
Published: September 2023

Abstract
Artificial intelligence has had varying degrees of impact on various industries, and many traditional financial tasks have been replaced by artificial robots, which will inevitably lead to the transformation of financial accounting to management accounting, which is also the key to the continuous development of enterprises. Firstly, this paper proposes a multiple linear regression algorithm, which is solved by the classical least squares method, while the parity results of the least squares method are relatively stable and generally do not have valuation drift. Then, we analyze management accounting and financial accounting, analyze the importance of using both in enterprise financial management and propose some specific application paths based on this to provide help for enterprise financial management. Finally, a multiple regression algorithm is used to analyze management accounting and financial accounting data. The regression analysis results showed that the coefficient of management accounting and financial accounting change and the degree of competition was 0.7952, t=2.4457, F=5.9813, R2=0.0520, and management accounting and financial accounting change were not significantly influenced by the size of the enterprise and competition. This study improves the traditional accounting concept, establishes a perfect accounting system, realizes the integration of organizations, and pays attention to the importance of consolidating original resources to provide some theoretical guidance for the effective improvement of enterprise financial management quality.
The positive impact of increased government bailout on weakening corporate default risk
Authors: Zhang Yadong 
Published: September 2023

Abstract
Along with the increasing uncertainty of the global economy and the spread of the new crown pneumonia epidemic, the risk challenges to economic development have increased significantly, and the risk of corporate debt defaults has become more pronounced. As an important component of the capital market, the bond market also began to experience credit bond defaults during this period. Since 2021 the global bond market has shown a sharp increase in defaults, with the default rate of non-state enterprise bonds significantly higher than the overall market, and the capital market has also ushered in a period of pain and accelerated credit risk release. Enterprises are on the verge of bankruptcy restructuring and urgently need the government to provide a bailout and stabilize the market. Therefore, this paper uses the financial data of Chinese listed companies from 2016-2021, constructs a relief intensity variable using the equity pledge rate of listed companies before the relief (2021), and empirically analyzes the impact of local government relief and financing cost on the default risk of listed companies using an intensity double difference model. The results of this study show that: (1) local government bailout significantly reduces the default rate of listed companies by 13%; (2) the effect of local government bailout varies significantly depending on whether listed companies have connected transactions with financing platform companies, and the increase of bailout intensity increases the return on assets of listed companies with related transactions with financing platform companies by 9.8%, which laterally reduces the default rate of corporate debt; (3) the cost of financing is an important mechanism by which local government bailouts affect the credit default rate of listed companies, with a regression correlation of 0.75; (4) the above effect is more pronounced in regions with a higher degree of marketization, with a 9% increase in the effect. The findings of this paper are important for actively managing the risk of dual corporate debt and credit defaults and enhancing the effectiveness of macroeconomic regulation during the epidemic period.
The Confederate Admiralty Court at Key West
Authors: Jarvis Robert M. 
Published: September 2023

Abstract
In 1861, the Confederate States of America authorized the establishment of a “Court of Admiralty and Maritime Jurisdiction” at Key West. Although a judge was appointed, the court never sat because the island remained in Union hands throughout the Civil War. After first describing the court's creation and staffing, this article highlights the various procedural and practical problems the court would have faced if it had been able to operate.
Letter to Editor Quality of 2017 Population Census of Pakistan by Age and Sex
Authors: Wazir Asif , Goujon Anne 
Published: September 2023

Abstract
This Letter to Editor is a supplement to the previously published article in the Journal of Official Statistics (Wazir and Goujon 2021).
In 2021, a reconstruction method using demographic analysis for assessing the quality and validity of the 2017 census data has been applied, by critically investigating the demographic changes in the intercensal period at national and provincial levels. However, at the time when the article was written, the age and sex structure of the population from the 2017 census had not yet been published, making it hard to fully appreciate the reconstruction of the national and subnational level populations.
In the meantime, detailed data have become available and offer the possibility to assess the reconstruction’s outcome more in detail. Therefore, this letter aims two-fold: (1) to analyze the quality of the age and sex distribution in the 2017 Population census of Pakistan, and (2) to compare the reconstruction by age and sex to the results of the 2017 population census. Our results reveal that the age and sex structure of the population as estimated by the 2017 census suffer from some irregularities. Our analysis by age and sex reinforces the main conclusion of previous article that the next census in Pakistan should increase in quality with an inbuild post-enumeration survey along with post-census demographic analysis.
Database Reconstruction Is Not So Easy and Is Different from Reidentification
Authors: Muralidhar Krishnamurty , Domingo-Ferrer Josep 
Published: September 2023

Abstract
In recent years, it has been claimed that releasing accurate statistical information on a database is likely to allow its complete reconstruction. Differential privacy has been suggested as the appropriate methodology to prevent these attacks. These claims have recently been taken very seriously by the U.S. Census Bureau and led them to adopt differential privacy for releasing U.S. Census data. This in turn has caused consternation among users of the Census data due to the lack of accuracy of the protected outputs. It has also brought legal action against the U.S. Department of Commerce. In this article, we trace the origins of the claim that releasing information on a database automatically makes it vulnerable to being exposed by reconstruction attacks and we show that this claim is, in fact, incorrect. We also show that reconstruction can be averted by properly using traditional statistical disclosure control (SDC) techniques. We further show that the geographic level at which exact counts are released is even more relevant to protection than the actual SDC method employed. Finally, we caution against confusing reconstruction and reidentification: using the quality of reconstruction as a metric of reidentification results in exaggerated reidentification risk figures.
A Rejoinder to Garfinkel (2023) – Legacy Statistical Disclosure Limitation Techniques for Protecting 2020 Decennial US Census: Still a Viable Option
Authors: Muralidhar Krishnamurty , Domingo-Ferrer Josep 
Published: September 2023

Abstract
In our article “Database Reconstruction Is Not So Easy and Is Different from Reidentification”, we show that reconstruction can be averted by properly using traditional statistical disclosure control (SDC) techniques, also sometimes called legacy statistical disclosure limitation (SDL) techniques. Furthermore, we also point out that, even if reconstruction can be performed, it does not imply reidentification. Hence, the risk of reconstruction does not seem to warrant replacing traditional SDC techniques with differential privacy (DP) based protection. In “Legacy Statistical Disclosure Limitation Techniques Were Not an Option for the 2020 US Census of Population and Housing”, by Simson Garfinkel, the author insists that the 2020 Census move to DP was justified. In our view, this latter article contains some misconceptions that we identify and discuss in some detail below. Consequently, we stand by the arguments given in “Database Reconstruction Is Not So Easy:: :”.
A Note on the Optimum Allocation of Resources to Follow up Unit Nonrespondents in Probability Surveys
Authors: Tam Siu-Ming , Holmberg Anders , Wang Summer 
Published: September 2023

Abstract
Common practice to address nonresponse in probability surveys in National Statistical Offices is to follow up every non respondent with a view to lifting response rates. As response rate is an insufficient indicator of data quality, it is argued that one should follow up non respondents with a view to reducing the mean squared error (MSE) of the estimator of the variable of interest. In this article, we propose a method to allocate the nonresponse follow-up resources in such a way as to minimise the MSE under a quasi-randomisation framework. An example to illustrate the method using the 2018/19 Rural Environment and Agricultural Commodities Survey from the Australian Bureau of Statistics is provided.
A Survey Analysis: The Current Real Estate Marketing Situation in the China Greater Bay Area in the Context of the COVID-19 Epidemic
Authors: Kong Juan , Kepili Ema Izati Binti Zull 
Published: September 2023

Abstract
Real estate in the Guangdong-Hong Kong-Macao Greater Bay Area (also known as the Greater Bay Area, GBA) - a good representation of China’s advanced and developed urban agglomeration - has received considerable attention from the international community in recent years. However, the real estate market has been under extraordinary stress due to the expansion of COVID-19 in China, the strain on people’s livelihoods brought on by the coronavirus pandemic, and the Chinese government’s series of epidemic preventive initiatives. This study used a combination of qualitative and quantitative techniques, making use of interviews and questionnaires as instruments. It examined China’s GBA real estate market as the pandemic looms. The primary goals are to demonstrate the current state of the GBA’s real estate industry, pinpoint the factors holding back its growth, and estimate when the market might finally experience a breakthrough. Our findings suggested that the impact of COVID-19 on the GBA real estate sector in China is evident, but that it still has a bright future despite the negative externalities. This is because the city has a large population, high purchasing power, and is close to some of the most developed areas in southern China. This study establishes a baseline for studying the impact of China’s “One Belt, One Road” initiative on the GBA real estate market in the future. It also provides valuable resources for China’s GBA’s real estate industry.
Review of Clustering Methods Used in Data-Driven Housing Market Segmentation
Authors: Skovajsa Štěpán 
Published: September 2023

Abstract
A huge effort has already been made to prove the existence of housing market segments, as well as how to utilize them to improve valuation accuracy and gain knowledge about the inner structure of the entire superior housing market. Accordingly, many different methods on the topic have been explored, but no universal framework is yet known. The aim of this article is to review some previous studies on data-driven housing market segmentation methods with a focus on clustering methods and their ability to capture market segments with respect to the shape of clusters, fuzziness and hierarchical structure.