bluuebunny/crossref_metadata_2025 huggingface dataset:
Mobile Apps–Based Applications in Libraries and Information Centers: A Systematic Review of the Literature and Future Research Agendas
Authors: Singh B. P. , Margam Madhusudhan
Published: September 2023

Due to the worldwide rapid adoption of mobile-based applications in libraries to foster the delivery of information services on mobile devices of library users, there are vast and growing collections of peer-reviewed research and conference papers available in various online databases. Analyzing the literature related to mobile-based library services is one method to conduct future research to enhance library collections and services in the digital age. The primary goal of this paper is to review the most relevant literature in the field to better understand these previous research works, identify trends and to determine the research gaps for future studies. A comprehensive and systematic review of the literature on mobile-based applications in libraries and information centres of peer-reviewed research papers, and conference proceedings published in online databases (ProQuest-LISA and Web of Science) during the last seven years (2015–2022) was conducted for critical analysis and to address the present trends of mobile-based applications in these studies. We identified that many studies have described the use of mobile apps–based applications like Mobile Online Public Access Catalogue (MOPAC), Mobile websites, Mobile databases, WhatsApp, SMS, RSS, and Quick Response (QR) Codes in the enhancement of library collections and services around the globe. We observed that 75.93% of documents were published as research articles, and 42.59% of publications were identified under the two authorship patterns. Also, the authors investigated the current and future state of the research in this field by synthesizing the results of published high-quality experimental studies and systematic mapping studies on related disciplines. We hope that this study will be helpful for librarians and information professionals to better understand and implement the applications of mobile technologies for enhancement of library collections and services in the virtual world.
Qualifications and Skills Required for Cataloging Positions in Academic Libraries
Authors: Mu Peng
Published: September 2023

This research analyses cataloging librarian job advertisements in the United States academic libraries. The purpose is to find what skills and knowledge are required for cataloging positions in academic libraries. The results may help Library Information Science (LIS) educators develop new curricula and prepare students to meet the needs of prospective employers. The research will also help LIS students find jobs in the technical service area, and incumbent cataloging librarians promote their expertise.
On the Numerical Solution of Boundary Value Problem (BVP) of the Ordinary Differential Equation (ODE) - The Case of Steady-State Bio-Heat Equation with Combined Heat Transfer Coefficient by Pseudo-Spectral Collocation Method
Authors: Odongo Benard A. , Manyonge Alfred W. , Owego Dancun O. , Opiyo Richard O. , Onyango Homas M.
Published: September 2023

Spectral methods for the solution of a boundary value problem of an ordinary differential equation are reviewed with particular emphasis laid on pseudo-spectral collocation method. The pseudo-collocation method is then used to solve the one dimensional bio-heat equation with metabolic heat generation in cylindrical coordinates applied to human tissue. It was noticed that an increase in heat transfer coefficient (hA), enhanced the temperature but a decrease in the tissue thickness was observed when this coefficient was increased. The effects of the combined heat transfer coefficient are analyzed and the results indicate that the obtained solution can be used in the study of the thermal behaviour of a biological system with the potential to locate tumours in the living tissue.
When fear is a factor: consumer behavior changes during the pandemic
Authors:   Faculty of Economics, Matej Bel University in Banská Bystrica, Institute of managerial systems in Poprad, Slovak republic, Veselovska Lenka
Published: September 2023

This paper focuses on the current topic of consumer behavior changes influenced by the COVID-19 pandemic. The purpose of the research was to explore how the factor of fear affected consumers and analyze their response to shopping habits. Design/methodology of the research was based on a survey conducted on a sample of 252 consumers in Slovak republic. Findings in the study map the individual changes in consumer behavior that occurred during the pandemic with special focus on changes related to panic buying. Up to 82% of consumers reported an increase in amount of goods they bought in 2020, however, this form of panic buying significantly decreased in later years of the pandemic. Results show that male consumers were less likely to experience panic buying, however, they men expressed concerns about the negative impacts of the pandemic on the state's economy to a greater extent than women. The majority of consumers were concerned by health threats and related risks, but it was discovered that they feared more for others than themselves which resulted in an increased tendency to prefer unaccompanied shopping. Practical implications of this research provide guidelines for businesses that need to adjust their strategies according to the new reality in the post-pandemic era. Findings can also provide foundation for further risk management measures that companies need to consider should a similar situation arise again in the future to be better prepared and to design a flexible response. This contribution was supported by the project No. 1/0134/22, “Changes in consumer behavior due to the COVID-19 pandemic with intent to predict its development”.
The role of deceptive advertisements and ethical decision outcomes in determining buying behavior
Authors:   Department of Business Administration,Lahore School of Economics, Masood Maheen , Salman Mehrukh ,   Department of Business Administration,Lahore School of Economics
Published: September 2023

The study was conducted to identify the opinions of consumers’ regarding deceptive advertisements and the extent to which they considered it immoral. It aimed to collectively examine the impact of deceptive advertisements on consumers’ perceptions and their ability to make an ethical decision regarding buying behavior. A cross-sectional design is conducted in order to gather data from respondents. The digital advertisements were shown to 378 respondents through web survey designs. SEM (structural equational modelling) was used to analyze the data. The results depicted that advertiser make use of moral decoupling strategies in developing countries as it becomes easier for the consumers to get influenced by a transgressor. After identifying the deception in an advertisement, it becomes necessary to analyze the role of consumers’ ethical decision-making abilities in order to determine their buying behaviors. Moral intensity, perceived risks and moral judgements have a significant impact on consumers’ ethical decision-making abilities. However, consumers’ perception regarding a deceptive claim was not found to have any significant impact on their buying behavior. The relation only becomes significant in the presence of consumers’ ethical decision-making abilities.
Financial impact of COVID-19 lockdown restrictions on Small, Micro and Medium enterprises in the restaurant industry (Gauteng)
Authors:   Department Business Management, College of Business and Economics, University of Johannesburg, South Africa, Mkansi Mienkie , Bronkhorst Seugnet ,   Department Business Management, College of Business and Economics, University of Johannesburg, South Africa
Published: September 2023

Purpose: The study presents a comparison of the financial impact of the COVID-19 lockdown restrictions on Gauteng-based SMMEs in the restaurant industries using a South-African bank’s point-of-sale (POS) de-identified data. Research: The positivist research philosophy was preferred. Due to, the participating bank's existing data, quantitative research method applied. This research study comprised both exploratory and descriptive objectives. It was longitudinal in nature because it investigated the financial impact of the COVID-19 lockdown restrictions on Gauteng-based SMMEs in the restaurant industry over time (April-May 2020 and April-May 2021). The longitudinal time horizon was from April 2020 to May 2021 (a year into the lockdown period). Results: The study found that the restaurant industry was adversely financially impacted, based on turnover sales transacted through POS devices during the two periods of April to May 2020 and April to May 2021. According to the study, during the COVID-19 pandemic lockdown periods Gauteng-based SMMEs relied heavily on the benefits of the Fourth Industrial Revolution (4IR), such as POS devices, for customer payments. Conclusions: Based on a monthly turnover comparison the restaurant industry had the second-highest turnover, following the supermarket industry with the highest turnover. When the alert level 5 lockdown was declared on March 23, 2020, some restaurants shut down temporarily while others adjusted their operational protocols to safeguard their employees and customers. Study originality: However, the restaurant industry turnovers increased in 2021 compared to 2020, indicating that there was some adaptation or rather innovation around mitigating the COVID-19 pandemic challenges. Practical implications: Restaurants took additional measures by persuading consumers to order ‘takeaways’ online through delivery App platforms. The restaurant industry COVID-19 digital strategies remain relevant in South Africa today even after the removal of the COVID-19 lockdown restrictions because customers still make use of these digital services.
Through the Lens of EFL Teachers: Teaching Online on Lockdown
Authors: Çeşme Hatice , Akdağ Çimen Birgül
Published: September 2023

There has been a growing interest in online EFL teaching studies after the COVID-19 outbreak. However, the majority of the studies have centered around students’ perspectives. The studies examining the issue from EFL teachers’ perspectives, on the other hand, are relatively scarce. Therefore, this study qualitatively investigated EFL teachers’ perceptions and experience in this critical process to bridge the gap in the literature. For the study, the data were collected through written semi-structured interviews with 25 EFL teachers in Turkey. Five themes with several categories emerged based on the thematic analysis of the data with MAXQDA 2020 package program. The teachers commonly focused on the challenges of emergency online teaching and suggested potential solutions. The primary stemmed from the poor communication between teachers and students due to low engagement levels and technology-related issues. The teachers also struggled to find proper online EFL teaching materials since they had no or little experience in online education and did not know how find teaching resources. They suggested providing EFL teachers with workshop opportunities to learn how to tackle technology-related problems and improve their online material developing skills. This study may extend the relevant literature by providing a deeper insight into EFL teachers’ practices and recommendations for practitioners of online teaching
Pedagogical Concept of Integrative Teaching and Learning in the Context of Interdepartmental Interaction
Authors: Khomenko Oleksandr , Vasylchuk Liudmyla , Sotnykov Andrii , Slaba Oksana
Published: September 2023

This article presents the pedagogical framework for integrative teaching and learning, melding foreign language instruction with professional disciplines within the interdepartmental interaction. Through a comprehensive review of both foreign and domestic literature, the authors highlight the insufficient development of this concept in Ukraine, particularly in practical application. The study advocates for adapting and assimilating positive foreign experiences to the distinctive contours of Ukrainian higher education, underpinned by a robust theoretical and methodological foundation. The authors contend that the demands of modern life necessitate the active integration of interdisciplinary links into higher education curricula, leveraging foreign languages to develop foreign language professional communicative competence as an integral component of professional competence. They emphasize the pivotal role of interdepartmental collaboration in fostering such interdisciplinary convergence. Considering the unresolved nature of this issue in Ukraine, the significance and imperative for establishing an integrative teaching and learning concept in the context of interdepartmental interaction are undeniable. The article delineates the concept’s goals and objectives, scrutinizes the pivotal preconditions and rationale for its development, and furnishes a comprehensive algorithm for the seamless integration of professional subjects and foreign language instruction. Two main stages of integrative training, preparatory and organizational-procedural, are distinguished, with their characteristics outlined. Additionally, the article underscores the need for designing specialized transitional courses to harmonize profession-oriented content in foreign languages with specific disciplines.
Investigating the fishery of Owabi fishing community in Ghana, West Africa using traditional ecological knowledge
Authors: AMPONSAH Samuel
Published: September 2023

This study aimed at identifying issues confronting fishermen within the Owabi reservoir, Ghana, West Africa using LEK. Data from twenty (20) fishermen were collected on fishing methods and techniques, fish species, and alternative livelihood using open and closed-ended questionnaires. From the study, fishers indicated nine species are mostly harvested from the dam, with most fish species declining in abundance. The status of fish species in the reservoir is affected negatively by climate change and waste disposal. As a result, most fisherfolks are engaged in alternative livelihoods to supplement returns from fishing activities. Fisherfolks engage in illegal fishing methods, though materials for illegal fishing methods are rarely available on the open market. To sustain the fisheries of the Reservoir, management should engage fisherfolks in community awareness programs on the impact of illegal fishing activities, as it will sustain the fisheries of the Reservoir.
Polymorphism of fucosyltransferase 3 gene is associated with inflammatory bowel disease: a systematic review
Authors: Zheng Jiansheng , Zhu Tang
Published: September 2023

Background

Inflammatory bowel disease (IBD) is a condition with an unclear genetic basis. Fucosyltransferase 3 (FUT3) could potentially be linked to IBD susceptibility.

Objective

To investigate the association between FUT3 gene polymorphisms and IBD.

Methods

Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 checklist and Population, Intervention, Comparison, Outcomes, and Study (PICOS) guidelines, case-control studies published until April 30, 2020 was searched. Two independent reviewers conducted screening, data extraction, and quality assessment using the Newcastle-Ottawa Scale. Meta-analysis, sensitivity analysis, and Egger tests were performed using RevMan and Stata12.0.

Results

The review included 5 articles and 12 case-control studies involving 1712 IBD patients and 1903 controls. The meta-analysis revealed the following combined odds ratios [95% confidence intervals]: rs3745635 genotype (GA+AA vs GG) 0.84 (0.72–0.97), (GG+GA vs AA) 1.93 (1.23–3.05), (GG vs AA) 2.38 (1.52–3.74), (A vs G) 0.84 (0.73–0.96); rs3894326 genotype (TA+AA vs TT) 1.03 (0.87–1.23), (TT+TA vs AA) 1.19 (0.56–2.51), (TT vs AA) 1.19 (0.56–2.51), (A vs T) 1.02 (0.86–1.20); rs28362459 genotype (TG+GG vs TT) 0.98 (0.85–1.12), (TT+TG vs GG) 1.20 (0.90–1.61), (TT vs GG) 1.21 (0.90–1.62), (G vs T) 0.96 (0.86–1.07). Sensitivity analysis indicated the stability of the results, and Egger analysis showed no significant publication bias.

Conclusions

The rs3745635 gene polymorphism may be associated with IBD susceptibility, whereas the rs3894326 and rs28362459 gene polymorphisms may not be associated with IBD.
Single-center experience of endovascular treatment for patients with progressive posterior circulation cerebral infarction exceeding 24 h
Authors: Zhao Guangfeng , He Xiongjun , Liu Yajie , Zhang Liang , Li Kaifeng
Published: September 2023

Background

Evidence of endovascular treatment (ET) for patients with progressive infarction of the posterior circulation exceeding 24 h is lacking.

Objective

To evaluate the efficacy and safety of ET for progressive posterior circulation cerebral infarction.

Methods

This retrospective study evaluated the ET for 18 patients with posterior circulation infarction caused by vertebrobasilar artery occlusion from July 2017 to November 2018. The conditions of patients worsened despite receiving intravenous thrombolysis or combination therapy with clopidogrel and aspirin. The time from the onset of cerebral infarction to puncture was >24 h. The preoperative National Institutes of Health Stroke Scale (NIHSS), modified Rankin Scale (mRS), and related risk factors of patients at 3 months were analyzed postoperatively.

Results

The preoperative NIHSS score was 10.6 (IQR: 6.5), and the time from onset to puncture was 163.5 ± 144.7 h. Postoperative blood flow was modified thrombolysis in cerebral infarction (mTICI) grade 2b or above. During the follow-up period, 1 patient died of basilar artery re-occlusion and pulmonary infection, and 1 died of postoperative hyperperfusion hemorrhage, with a mortality rate of 11.1% (2/18). No recurrent ischemic events were observed in any of the 16 patients during the 3-month follow-up period. The mean mRS score was 1.3 (IQR: 2.3), and 75% patients (12/16) had an mRS score of 0–2. There were no significant differences in age, gender, clinical characteristics, and stroke subtype between patients with mRS scores ≤2 and >2.

Conclusion

In patients with progressive posterior circulation cerebral infarction caused by vertebral basilar artery occlusion, ET is effective and safe even if the time from onset to puncture exceeds 24 h.
Acidic environment could modulate the interferon-γ expression: Implication on modulation of cancer and immune cells’ interactions
Authors: Sharma Vishal , Kaur Jagdeep
Published: September 2023

Background

In rapidly growing solid tumors, insufficient vascularization and poor oxygen supply result in an acidic tumor microenvironment, which can alter immune response.

Objective

To investigate the role of the acidic microenvironment in immune response modulation along with cancer and immune cells’ interactions.

Method

To mimic the tumor microenvironment conditions, T cells (Jurkat), macrophages (THP-1), and HeLa (cervical) cells were cultured under acidic conditions (pH 6.9, pH 6.5) and physiological pH (7.4). The HeLa cell culture medium was exploited as a tumor cell conditioned medium. Real-time PCR was carried out to quantify the mRNA levels, while flow cytometry and western blot hybridization was carried out to ascertain the levels of different proteins.

Results

The acidic microenvironment around the T cells (Jurkat) and macrophage cells (THP-1) could lead to the downregulation of the interferon gamma (IFN-γ). An increase in IFN-γ expression was observed when Jurkat and macrophage cells were cultured in HeLa cells conditioned medium (HCM) at low pH (pH 6.9, pH 6.5). The HeLa cells under acidic environment (pH 6.9, pH 6.5) upregulated interleukin 18 levels and secreted it as exosome anchored. Additionally, enhanced nuclear localization of NF-κB was observed in Jurkat and THP-1 cells cultured in HCM (pH 6.9, pH 6.5). Jurkat and THP-1 cultured in HCM revealed enhanced cytotoxicity against the HeLa cells upon reverting the pH of the medium from acidic to physiological pH (pH 7.4).

Conclusion

Collectively, these results suggest that the acidic microenvironment acted as a key barrier to cancer and immune cells’ interactions.
New Applications on the Flows of Space-like curves specified by Normal acceleration in Minkowski Space ℝ2,1
Authors: Al Elaiw Abeer , Gaber Samah
Published: September 2023

This paper investigates the kinematic motions of space-like and time-like curves specified by acceleration fields in Minkowski space ℝ2,1. Through the motion, the relationship between the acceleration fields and velocity fields is determined. In this study, we focus on studying the flows of inextensible space-like curves with a space-like principal normal vector specified by a normal acceleration that equals the curvature of the curve. Through the motion of the inextensible space-like curve with normal acceleration, we prove that the position vector of the curve satisfies a one-dimensional wave equation. We present some novel applications and visualize the flows of curves and their curvatures.
A Study on Normal Motion of the Torus of Revolution in ℝ3
Authors: Gaber Samah , Alfadhli Norah , Mahmoud Elsayed I.
Published: September 2023

In the present research paper, we investigate the motion of surfaces in ℝ3 according to their curvatures. We study the motion of the torus of revolution via the normal velocity. We consider two cases: when the normal velocity is a function of both the time and the coordinates of the torus, and when it is a function of time only. We also study how the torus moves under different types of curvature flows, such as inverse mean curvature flow, inverse Gaussian curvature flow, and harmonic mean curvature flow. Moreover, we present some new applications of these flows.
Research on the cultivation mechanism of “double-creative” talents in ethnic regions with the integration of industry and education in the context of the Internet
Authors: Lu Caixiu
Published: September 2023

In the context of the rapid development of the Internet and big data technology, it is both an opportunity and a challenge for cultivating “dual-innovation” talents in ethnic regions. This paper proposes a fuzzy hierarchical analysis-fuzzy comprehensive evaluation model to study the cultivation mechanism of “dual-creative” talents in ethnic regions. The fuzzy hierarchical analysis-fuzzy comprehensive evaluation model consists of the evaluation system, a fuzzy comprehensive evaluation method, and a fuzzy hierarchical analysis. Then, based on the characteristics of fuzzy hierarchical analysis, the factors are organized and stratified to obtain a reasonable index set and build a hierarchical analysis structure. Using the fuzzy comprehensive evaluation method to analyze the school-enterprise cooperation in the integration of industry education in Tibetan higher vocational colleges, the results show that 55.4% of the students chose extremely unsatisfactory and unsatisfactory, indicating that they are not satisfied with the current communication status between the school and the internship enterprises, and another 28.6% of the students chose uncertainty full or unsatisfactory. This study explores the causes of the problems in the integration of industry-education personnel training from four levels: government, enterprises, society, and schools, and proposes guiding reference values for the integration of industry-education personnel training in Tibetan higher education institutions.
Application of biofilm-membrane bioreactor in municipal wastewater treatment
Authors: Li Qi , Qian Yue , Shi Yuhang , Miao Yuyin , Luo Min
Published: September 2023

To verify the feasibility of biofilm-membrane bioreactor in municipal wastewater treatment. In this paper, based on the Fourier series algorithm, the basic configuration of biofilm-membrane bioreactor, the design of membrane bioreactor test index and method, the proposed urban wastewater treatment system based on biofilm-membrane bioreactor, and the creation of experiments to verify the biofilm-membrane bioreactor with the example of urban wastewater in the sewer of residential buildings in the district on the two CODCr and NH4
+-N in urban wastewater in municipal wastewater. The results showed that the removal rate of CODCr in municipal wastewater by the biofilm-membrane bioreactor system increased with time, and the removal rate was stable at about 83%. The NH4
+-N removal rate increased with time and was stable between 85 and 90%. It can be shown that biofilm-membrane bioreactor can sufficiently reduce the concentration of CODCr and NH4
+-N in municipal wastewater, thus promoting municipal wastewater treatment. It also presents a new solution for urban wastewater treatment.
Innovative cultivation path of great craftsmanship based on logistic regression model
Authors: Wang Wenhui
Published: September 2023

The word “craftsmanship” appeared for the first time in the 2016 Chinese government work report, bringing it back to the public eye. In the Industry 4.0 era, China has accelerated the transformation from manufacturing power to manufacturing energy, and various parties in the society have higher and higher requirements for talent. The “craftsmanship” fits the content of patriotism and professionalism in the core socialist values and the new concept of contemporary China’s development. Therefore, the cultivation of craftsmanship should be vigorously advocated in society, and a new path of cultivating craftsmanship should be explored. This paper analyzes the factors influencing the cultivation of craftsmanship through a logistic regression model based on a large number of vivid cases, and the research on the cultivation path around the cultivation status of “craftsmanship” can more vividly explain the essence of craftsmanship to people; it proposes to use the multiple logistic regression correlation in statistics to estimate Then, the logistic regression algorithm is applied to the product quality assurance, and the success rate of each node is calculated by analyzing the correlation between various characteristic factors and product quality to obtain the best cultivation path of craftsmanship innovation. This study shows that after one month of craftsmanship training, the product perfection rate of CM employees reached 93%, and the defect rate decreased by 13.6%, reflecting that craftsmanship has dramatically improved the product quality and laid a solid foundation for the long-term development and brand influence of the company.
Research on Fault Prevention and Maintenance System of Automatic Substation Primary Equipment Based on Decision Tree Algorithm
Authors: Wang Xinyue
Published: September 2023

Electric power enterprises are developing rapidly in the era of big data information digitization. At this stage, the total number of substations is gradually increasing, the structure of the power engineering system is slowly becoming complicated, and the video monitoring system instantly collects a lot and contains a lot of noisy data information, which affects the power supply system’s access to effective data information and fault detection. To prevent the above phenomenon. This paper selects a decision tree algorithm to obtain and analyze meaningful operation-confirming information from a large amount of data information, and then can quickly and confirm the diagnosis of common fault machines and equipment in substations, reduce the running time of common fault machines, and improve the safety and reliability of primary equipment in substations with automation technology. The paper describes the basic concept of big data mining common algorithm and its data mining algorithm in the automation technology substation primary equipment fault detection, selected the typical alarm signal to start the analysis, and categorization and collocation solution. A decision tree algorithm entity model is built, several classical decision tree algorithms are described, and their data analysis is carried out for each attribute, and then the decision tree algorithm is improved. According to build the decision tree algorithm according to improve the decision tree algorithm under the fuzzy set base theory, mainly by expertise in the four on cannot identify the association, rough set and up close and down close, similar and membership relationship, expertise concise to optimize the calculation method. And the common ID3, C4.5, and CRAT algorithm of each property is compared and analyzed, and the results show that: compared with C4.5 and ID3, the boosted optimization algorithm has higher classification accuracy and can model rate more quickly. The research in this paper can quickly diagnose the automation technology substation primary equipment and fault phenomena, and its establishment of the whole process is easy, the scope of application is relatively high, and it has wide applicability.
The construction of innovation system of college physical education reform based on Bp neural network
Authors: Zhu Liang
Published: September 2023

The substance here is to workshop the current problems of physical education in higher learning institutions and construct a reform and innovation machinery of sports learning style in institutions of higher learning. This paper researches the teaching system of college sports learning style based on BP nervous enlist the services, proposes a majorization network foundation hereditary compute mode for the shortcoming that BP nervous enlist the services to be prone to land oneself in the optimal regional solution, and takes 10 influence element the results of academy sports learning style as the sample features of the data set, uses the optimized GA-BP nervous enlist the services for discipline and compares the test results with the practice price and the dispatch of other algorithms. The average error of the detection of GA-BP nervous enlist the services was 1.23, and the average error rate was 1.85%, which performed better compared with other neural networks. In terms of the poundage of the influencing factors in the export multiple, the diversity of curriculum, the advancement of teaching philosophy and the science of sports skill instruction have significant effects on the amount of sports learning style in institutions of higher learning, with the weights reaching 0.1212, 0.1387 and 0.1453, respectively. The reform and innovation of sports learning style in institutions of higher learning should develop diversified physical education courses according to students’ constitution bases and sports levels and impart scientific methods of the constitution and sports values of enjoying sports.
Exploring the application of composite materials in ceramic design based on fuzzy numerical analysis
Authors: Wang Ruoyu
Published: September 2023

Compared with traditional monolithic carbide ceramics, Cu-based composite ceramics have the advantages of higher hardness, good wear resistance and oxidation resistance and are a new type of structural ceramics with wide application prospects. This paper first proposes a novel bi-directional freezing technique to construct a three-dimensional long-range ordered layer network hierarchical structure based on the pressure infiltration process. Secondly, a composite finite element model based on fuzzy numerical analysis is proposed for the vibroacoustic analysis of the periodic composite coupled system (PCSAS). Finally, thermal analysis experiments and mechanical property tests verify the effectiveness of Cu-based composites applied to ceramic matrices. The experimental results show that the toughness of Cu-based composite ceramics increases with the increase of TiC content, and the toughness increases from 2.15±0.27Mpa.m1/2 to 4.21±0.25Mpa.m1/2 compared with that of conventional monolithic carbide ceramics. The Cu-based composite ceramics designed in this paper give full play to the advantages of the high strength of ceramic particles and high toughness of metal matrix and develop an effective method to prepare structural metal-ceramic composites. This paper has developed an efficient route for preparing structural metal-ceramic composites, which can provide a reference for materials researchers to develop high-toughness composite ceramics.
The application of computer VR technology in physical education
Authors: Shi Yuehong
Published: September 2023

Under the digitalization of big data information, how to use VR technology combined with physical education teaching is a hot topic of concern in the current education sector. Firstly, the intelligent teaching system of VR technology based on genetic algorithms is proposed based on big data technology. Secondly, the system framework and ideas are constructed according to the needs of teachers and students in physical education, and then the debugging and operation of the teaching system are realized. Finally, to ensure more accurate experimental results of VR technology applied in college physical education, the homogeneity of experimental objects is detected through a VR technology intelligent teaching system based on analyzing efficiency values in the application of VR technology in physical education. The results show that the average efficiency values of VR technology in basketball, soccer, volleyball, badminton and table tennis are 21.04%, 19.36%, 19.64%, 20.33% and 19.63%, respectively. This study verifies that VR technology is beneficial to improving physical education teaching efficiency and provides a guiding reference value for improving physical education teaching in colleges and universities.
Gymnastic movement recognition based on support vector machine classification model
Authors: Zhang Xiaolong , Wang Jing , Shi Yuehong
Published: September 2023

The gymnastic movement recognition system is designed to determine the standard degree of trainers’ movements by accurately grasping their body contours and body positions through motion capture to achieve the training effect. This paper proposes an improved LSI-SVM algorithm based on a support vector machine applied to a gymnastic movement recognition system. Firstly, based on the idea of NMFDA, for each class of samples, its intra-class k-nearest neighbor and inter-class k-nearest neighbor local structure information are mined. Secondly, the obtained structural information is introduced into TSVM to obtain a new classification model. Finally, system operation test experiments are conducted to verify the generalization and accuracy of the proposed LSI-TSVM algorithm for the gymnastic movement recognition system. The experimental results show that the average recognition rate of the LST-TSVM algorithm proposed in this paper is 94.1%, which is 5.9% higher than S-TSVM and 14% higher than SVM, and 8.9% higher compared to SRSVM. The gymnastic action recognition system based on the LST-TSVM algorithm can effectively solve the problem of matching the corresponding frames of gymnastic action sequences on the time axis and effectively improve the action recognition rate, which can better assist trainers in learning gymnastic items.
Research on the integration of online teaching resources in higher education institutions under the perspective of industry-education integration
Authors: Shen Yu , Yang Xiaojiang , Wang Libin , Zheng Ruxin
Published: September 2023

The purpose of exploring the development mode of online teaching resources in colleges and universities is to enhance the utilization rate of online teaching resources to promote the diversification of teaching methods. In this paper, based on big data technology, a cloud education platform integrating online teaching resources in colleges and universities is constructed under the perspective of integrating industry and education, and the architecture and functions of the cloud education platform are explained. Then the collaborative filtering algorithm is used to filter and collect the information on online teaching resources, and the Pearson correlation formula is used to pre-process the data and help users to recommend teaching resources. Finally, the pre-processed data are filtered and analyzed using the multilayer perceptron technology under the deep learning model. To verify the practicality of the cloud education platform proposed in this paper, the platform’s performance is evaluated by combining MAE metrics with RMSE metrics. In terms of load capacity, the platform has the best load capacity when the number of users is 200. From the performance test, the average transmission rate of the cloud education platform is 8.1% and 0.93% higher than that of NetEase Cloud Classroom and Tencent Classroom, and the average transmission time is 7.09 s. From the practicality analysis, the average value of the MAE index is 0.317%, and the average value of the RMSE index is 0.232%. This shows that the cloud education platform can effectively integrate university online teaching resources and help universities achieve diversified development of teaching methods.
Application of multiple regression models in the analysis of kinematic parameters in competitive gymnastics
Authors: Wang Jing , Zhang Xiaolong , Shi Yuehong
Published: September 2023

Nowadays, the progress of competitive gymnasts needs more and more help from sports science, and it is from the mechanics perspective that human movement science analyzes this complex system of the human body. In this paper, the back handsprings in gymnastics were tested and recorded with a motion capture system to evaluate the back handsprings’ technical movements quantitatively. A multiple regression model was used to model the dynamics of the human body and carry out simulation calculations to analyze and study the movement patterns and lower limb stresses. The results showed that the maximum load rate through the back handspring experimental stage was (379.91±101.23) BW/s, and the time of appearance of the maximum load rate was (0.025±0.003) s. The maximum load decay rate was (-321.61±107.21) BW/s, and the time of appearance of the maximum load decay rate was (0.043±0.005) s. The difference between the results and the actual test value difference between the results and the actual test values was less than 0.005, indicating the feasibility of applying the multiple regression model to the kinematic parameters analysis of competitive gymnastics. The multiple regression-based kinematic parameter analysis models can effectively solve the problem of force on the bones and joints of difficult gymnastic movements, which can better assist trainers in learning gymnastic items and provide theoretical support and reference basis for the development and training of difficult skills in competitive gymnastics.
Application of Data Mining Algorithms in Power Marketing Predictive Analytics
Authors: Xu Wei , Zhao Jia , Chen Hao , Zhang Hang
Published: September 2023

The electric power industry has accumulated a large amount of historical data, and the analysis based on data mining can provide an effective reference for the electric power marketing of enterprises. In this paper, according to the analysis architecture of electric power marketing and its functional modules, the electric power marketing analysis system based on Bayesian algorithm is constructed through data extraction and transformation, modeling of Bayesian network, and simulation operation. At the same time, for the shortcomings of Bayesian algorithm with the large error of classification results under the condition of strong sample correlation, mutual information is introduced to modify the number of Laplace smoothing. The MI-NB model predicts the probability of electricity risk for company A to be 60% and the probability of electricity risk for company B to be 40%, with an error rate of 9.65% and 8.37%, respectively. In line loss rate analysis, the MI-NB model predicts an average line loss rate of 60.46% for station 1 and 60.43% for station 2, both in the high line loss rate range. The Bayesian algorithm based on mutual information can improve the practicality and intelligence of the power marketing decision analysis system, which makes the decision management of power supply enterprises more scientific and reasonable, and is of great practical significance in reducing the operational risk of enterprises.
Optimization of Teaching Path of Artificial Intelligence Programming Course in the Context of New Engineering Construction
Authors: Wang Hongmei
Published: September 2023

Under the background of new engineering construction and the requirements of new curriculum reform, the problem of using big data technology to combine with the teaching of the “Artificial Intelligence Programming” course has caused many educational researchers to focus on the problem. In this paper, we propose data mining based on a clustering algorithm to build a teaching management system to optimize the teaching path of the Artificial Intelligence Programming course and build a web-based teaching management system based on clustering analysis and clustering validity index. Then the system structure and database are designed through the teaching system requirements, and the course teaching evaluation index system is built based on the teaching objectives of Artificial Intelligence Programming. Finally, the course’s teaching efficiency is analyzed using the teaching system with 20 weeks of teaching Artificial Intelligence Programming in one semester. The results show the clustering algorithm: the average course teaching efficiency is 39.95%, and the BP neural algorithm: the average course teaching efficiency is 34.71%. Genetic algorithm: the average course teaching efficiency is 33.96%. Based on the clustering algorithm teaching system improves the course teaching efficiency by 39.95% compared with the other two better performances, which is conducive to improving the quality of course teaching and teaching reform. This study provides better information technology support for new engineering construction and engineering teaching optimization and has reference guiding value for course teaching research.
Research on the current situation and development countermeasures of Chinese sports industry companies in the context of big data
Authors: Wu Xiaoyan , Wang Zhaoling
Published: September 2023

To solve various problems in the development of the sports industry and enhance the pulling effect of the sports industry on the national economy. This paper first analyzes the development scale, the number of institutions and the number of people in China’s sports industry at present through sports industry-related indicators. It further constructs an index system to evaluate the comprehensive strength of the regional sports industry. Secondly, the factors affecting the spatial differences in the comprehensive strength of the sports industry are studied, and the spatial effect test and industrial network centrality analysis are conducted. A geographically weighted regression (GWR) power-driven model was further established for empirical analysis. Finally, the estimated parameters of the model were spatially visualized, and the influence of each influencing factor on the comprehensive strength of the local sports industry was analyzed in depth. The results show that the adjusted goodness-of-fit of the GWR model proposed in this paper is 0.8929, which is closer to 1 than 0.8073 of the OLS regression model, indicating that the GWR model has a better fit. Meanwhile, the AICc value of the GWR model is 5.4177, which is also smaller than that of the OLS regression model. The GWR model has a significant positive contribution to the development of the sports industry in each region in terms of the explanatory variables proposed government input, scientific and technological innovation and talent pool, which are all important to enhance the economic benefits of the sports industry in each region.
Exploring the teaching practice of visual communication design in colleges and universities under the background of big data
Authors: Yuan Dezun , Wang Xinpeng
Published: September 2023

Under the digitalization of big data information, how to use big data technology to combine with visual communication design teaching has become a key topic of concern in the current education sector. Firstly, this paper proposes using a deep learning model based on big data technology for teaching practice research of visual communication design majors in colleges and universities and constructs a deep learning model by combining perceptron and bp neural algorithm for data mining property and accurate prediction. Secondly, the deep learning model is optimized by using the activation function and knowledge distillation function in response to the limitation problem of the deep learning model. Then the teaching evaluation data of visual communication design majors in colleges and universities are obtained through questionnaire survey work, and evaluation indexes are determined according to the evaluation data. Finally, students of visual design majors at Guizhou Vocational and Technical College were selected as research samples, and the practice performance of communication design majors was analyzed based on the deep learning model. The results showed that the deep learning model: from week 1 to week 20, the score improved from 52 to 88, which improved the score by 69.23%. The traditional method: from week 1 to week 20, the score improved from 52 to 80, improving the score by 53.84%. This study is conducive to promoting the healthy development of the visual communication profession and cultivating design talents that meet the needs of the information age and is of great significance to the development of the visual communication profession in China.
Big data-based output-oriented teaching competency development for mathematics teacher trainees
Authors: Pan Jian
Published: September 2023

The purpose of exploring output-oriented ways to develop the teaching ability of teacher-training students in mathematics is to help better them improve their teaching ability. Starting from big data analysis technology, this paper first introduces the principle of support vector machines and explains that many types of support vector machines are classified by solving the optimal objective function through the Lagrange multiplier method. Then, the principle of the particle swarm optimization algorithm is introduced, the steps and process of the PSO algorithm are given, and the PSO-SVM classification model is constructed by using the PSO algorithm to optimize the parameters of support vectors. Finally, the PSO-SVM model is used to construct and analyze the evaluation index system with the example of teacher-training students majoring in mathematics at YL University. From the indicators of professional foundation and instructional design, 40%, 39.32%, 14.31%, and 6.35% were evaluated at A, B, C, and D levels, respectively. From the indicators of teaching evaluation and reflective development, the four levels of A, B, C and D evaluations accounted for 40.84%, 24.77%, 15.98% and 18.41%, respectively. This indicates that in addition to theoretical and practical techniques, it is also necessary to train teacher trainees in teaching evaluation and reflective development to improve their teaching ability under the output-oriented approach.