bluuebunny/crossref_metadata_2025 huggingface dataset:
The Era of “Surveillance Capitalism”: New Forms of Digital Platform Power and User Manipulation
Authors:   Lomonosov Moscow State University, Gavrilenko Olga V.
Published: March 2024

The article considers new tools and forms of digital control, as well as mechanisms of manipulation of behavior of users of digital platforms in the era of “surveillance capitalism”. The business model of operation of techno-logical giants is analyzed, based on the retention of the user on the platform by filtering the information provid-ed to him (“filter bubbles”), increasing the time of the user’s presence in the network, increasing the number of digital footprints left by him, which make the user “transparent” for the platform and allow to transform the col-lected data into forecast products for increase of incomes of “surveillance capitalists”. The article raises the problem of lack of ethical standards of data extraction and use, problems of control over “fate” of provided per-sonal data and violation of privacy, and analyzes psychological hooks, used by technology platforms to keep users online, and possible strategies to resist the power of technology giants by fighting for a “new Internet” and spreading restrictive practices regarding digital media.
Analysis of Reinforced Concrete Durability Against Corrosion Due to Chloride Penetration
Authors: Ghewa Gabriel Jose Posenti
Published: March 2024

Corrosion in reinforced concrete is a serious problem in the construction industry as it can reduce the strength and service life of concrete. Chloride penetration has been identified as one of the main causes of corrosion in reinforced concrete. Therefore, in this study, an analysis of the resistance of reinforced concrete to corrosion due to chloride penetration was conducted. The testing method included varying the concentration of chloride in seawater and testing the compressive strength of reinforced concrete after exposure to chloride for a certain period of time. The results showed that the higher the concentration of chloride, the faster the corrosion occurred and the lower the compressive strength of reinforced concrete. Therefore, prevention efforts are needed by using additives such as corrosion inhibitors or reducing the chloride content in the concrete mix to increase the resistance of reinforced concrete to corrosion due to chloride penetration. From the test results, the use of 5% silica fume by weight of concrete increased the compressive strength of concrete by 13% and reduced the rate of chloride penetration by 30%, as assessed from the chloride ion penetrability value.
THE DISCLOSURE PRACTICES ON MAQASID SHARIAH OBJECTIVES AMONG MALAYSIAN ISLAMIC BANKS USING FUZZY TOPSIS ASSESSMENT
Authors: Abdul Rahman Rashidah , Ag Kee Dg Ku Habibah , Bujang Imbarine , Jidwin Agnes Paulus
Published: March 2024

Background and Purpose: Maqasid Shariah ratio is operationalized based on Maqasid Shariah objectives. Shariah fraternity, such as scholars, investors, and customers, is still assessing how the business, specifically the financial institutions, delivers Maqasid Shariah's objectives according to their business goals. Thus, this becomes a genuine concern for society, especially the users of the financial information and shariah financing or investing customers, depositors, or borrowers. Therefore, this study intends to examine the application level of Maqasid Shariah objectives by Islamic banks using their financial reporting data.
 
Methodology: The Maqasid Shariah ratio is measured based on the two objectives of Maqasid Shariah, namely Justice (Al-Adl) and Welfare (Al-Maslahah). The determinants of the Maqasid Shariah ratio as a performance score for the Shariah scale of Islamic banks are assessed using the sophisticated Fuzzy TOPSIS technique.
 
Findings: Surprisingly, Malaysian Islamic banks' achievement is based on the Shariah objectives, specifically on Justice (Al-Adl) at 84.51% and Welfare (Al-Maslahah) at 67.53%. However, the top score for Malaysian Islamic banks could achieve an above-average level of 44.1% out of 70% on the overall average score on Maqasid Shariah's objectives application in their reporting practice.
 
Contributions: The results help improve and understand the application levels on Maqasid Shariah objectives and the disclosure practice on Maqasid Shariah's financial reporting for Islamic banks in Malaysia. Hence, Islamic banks need full disclosure and specific standard or provision on reporting the Maqasid Shariah elements. This needs to assist the users and provide insights into making the right decision, especially in Shariah-compliant investment products, financing alternatives, or services.
 
Keywords: Maqasid Shariah, Islamic banks, disclosure, maslahah, fuzzy TOPSIS.
 
Cite as: Abdul Rahman, R., Kee, D. K. H. A., Bujang, I., & Jidwin, A. P. (2023). The disclosure practices on Maqasid Shariah objectives among Malaysian Islamic banks using fuzzy Topsis assessment. Journal of Nusantara Studies, 8(TI), 109-133. http://dx.doi.org/10.24200/jonus.vol8issTIpp109-133
TRUSTWORTHINESS, EXPERTISE AND LIKEABILITY TOWARDS HALAL PURCHASING BEHAVIOUR: DOES ATTITUDE MATTER?
Authors: Rizal Putri Vidiyanna , Rahim Hainnuraqma , Abdul Rasool Mohamed Saladin , Zakaria Nor Balkish , Muhd Irpan Hamidah
Published: March 2024

Background and Purpose: Consumers prefer to review products and services through social media platforms before purchasing them. Consequently, social media influencers have become essential for advertising and reviewing products and services. Credible sources of information using persuasive messages are deemed as influential in the purchasing behaviours of consumers concerning products and services, especially among Gen Z. This paper examines the factors of social media influencers in the purchasing behaviour towards halal food products among Muslim Gen Z in Malaysia. Significantly, the world halal industry is one of the fastest growing markets, especially in the global market, with an estimated value worth around USD 2.3 trillion (excluding Islamic finance) a year.
 
Methodology: This study used the non-probability sampling method in selecting 226 respondents. Data collected were analysed using SPSS.
 
Findings: Findings showed that social media influencer trustworthiness, expertise and likeability could affect consumers’ attitudes and behaviours towards halal food products. Attitude plays a vital role as a mediator in the relationship of social media influencers' trustworthiness, expertise, and likeability towards purchasing behaviour towards halal food products among Muslim Gen Z in Malaysia.
 
Contributions: Accordingly, the findings of this study are expected to contribute to marketing theory and the concepts of consumer behaviours, especially among Gen Z, towards halal food products in the context of Malaysia.
 
Keywords: Social media influencer, purchasing behaviour, halal food products, Muslim, Gen z.
 
Cite as: Rizal Putri, V., Rahim, H., Saladin, M., Rasool, A., Zakaria, N. B., & Muhd Irpan, H. (2023). Trustworthiness, expertise and likeability towards halal purchasing behaviour: Does attitude matter? Journal of Nusantara Studies, 8(TI), 26-42. http://dx.doi.org/10.24200/jonus.vol8issTIpp26-42
Royalties do petróleo, transformações urbanas e segregação espacial em Campos dos Goytacazes (RJ)
Authors: Godoy Antonio Leandro Crespo , Tângari Vera Regina
Published: March 2024

A cidade de Campos dos Goytacazes figura como centro urbano do maior município em extensão territorial do estado do Rio de Janeiro, com mais de quinhentos mil habitantes, vivenciou nas décadas de 2000 e 2010 uma forte expansão urbana marcada por uma intensa atividade imobiliária. Dentre diversos fatores que alavancaram este processo, o mais significativo foi a autonomia financeira decorrente de repasses de royalties e participações especiais da extração do petróleo. O debate proposto neste trabalho é de como uma cidade com orçamento público elevado, condições geomorfológicas de uma extensa planície sem grandes restrições e de grande potencial ambiental propícia a uma expansão urbana planejada, enfrenta crescimento que resulta em fragmentação e estratificação do solo urbano, consolidando uma maneira de ocupação do solo marcada pela segregação socioespacial. A principal ferramenta de análise é a espacialização de dados por meio de mapas temáticos paraa leitura das transformações urbanas ao longo do tempo, explicitando aspectos socioespaciais e morfológicos.
Review on phytochemical constituents of the genus Trichilia and biological activities
Authors: Zohora Fatema Tuz , Joya Irin Sultana , Bhuiyan Mohiuddin Ahmed , Hasan Choudhury Mahmood , Ahsan Monira
Published: March 2024

Studies conducted on the chemical composition of the genus Trichilia have isolated and identified 334 different compounds such as monoterpenes, diterpenes, sesquiterpenes, triterpenes, limonoids, steroids, coumarins, lignans, flavonoids, amino acid, phenolic acids, and lactones. This genus is used in traditional medicine for the manufacture of antibacterial, antioxidant, antiviral and antimalarial drugs. Indeed, our research with numerous Trichilia species has revealed that these plants exhibit antioxidant, antibacterial, anticholinesterase, neuroprotective, anti-inflammatory, and anti-anaphylactic properties against pathogens of major clinical value. The properties of analgesia, liver protection, and immunomodulation are also being studied. This study summarizes the main therapeutic uses of Genus Trichilia of species mentioned in the article and encourages future research into their usage in the treatment of various ailments as antimicrobial and anticancer.
Microbiological treatment of post-industrial water: Example of efficient bioremediation of the heavily polluted Kalina pond, Poland
Authors: Starzec Katarzyna , Stańkowska Emilia , Supel Paulina , Mazur Robert , Surma Piotr , Kaszycki Paweł
Published: March 2024

The Kalina pond has been well known as a severely degraded area in the Silesia region, Poland. The environmental deterioration results from high contamination of water and bottom sediments with recalcitrant and toxic organic compounds, mainly phenol. The study was aimed at developing a bioremediation-based approach suitable for this type of polluted areas, involving microbiological treatment of water as a key and integral part of other necessary actions: mechanical interventions and the use of physical methods. During the initial biological treatment stage, autochthonous microorganisms were isolated from contaminated samples of water, soil and sediment, then subjected to strong selective pressure by incubation with the pollutants, and finally, cultivated to form a specialised microbial consortium consisting of five extremophilic bacterial strains. Consortium propagation and its biodegradation activity were optimised under variant conditions enabling bacteria to proliferate and to obtain high biomass density at large volumes allowing for the in situ application. After installing aeration systems in the pond, the consortium was surface-sprinkled to launch bioremediation and then both bacterial frequency and the contaminant level was systematically monitored. The complex remediation strategy proved efficient and was implemented on an industrial scale enabling successful remedial of the affected site. Treatment with the specifically targeted and adapted microbial consortium allowed for removal of most organic pollutants within a four-month season of 2022: the chemical oxygen demand (COD) value decreased by 72%, polyaromatic hydrocarbon (PAH) level by 97%, while the content of total phenols and other monoaromatic hydrocarbons (BTEX) dropped below the detection thresholds.
Serum vitamin D metabolite and acute-phase protein concentrations are frequently abnormal in a cohort of hospitalized dogs and cats
Authors: Rose Hailey , Jaffey Jared A. , Cammarano Kellie , Ringold Randy , Turner Hailey D. , McArdell Kara , Sender David , Loftus John P.
Published: March 2024

OBJECTIVE

To determine whether serum 25-hydroxyvitamin D (25[OH]D) and 1,25-dihydroxyvitamin D (1,25[OH]2D) concentrations are associated with survival and negatively correlate with acute-phase protein (APP) concentrations in ill dogs and cats admitted to nursing care units.

ANIMALS

Client-owned dogs (n = 79) and cats (16) admitted to 2 academic veterinary hospital nursing care units.

METHODS

A prospective cohort study was conducted between August 12, 2019, and October 26, 2021. A diagnostic laboratory measured 25(OH)D, 1,25(OH)2D, and haptoglobin (HPT) in dogs and cats; C-reactive protein (CRP) in dogs; and serum amyloid A (SAA) in cats. Serum was collected within 12 hours of admission. Illness severity (acute patient physiologic and laboratory evaluation [APPLEfast]) scores and survival data were recorded.

RESULTS

Serum 25(OH)D concentrations were in the deficient range for 22 of 79 dogs and 2 of 16 cats. There were no associations between serum analyte concentrations (25[OH]D, 1,25[OH]2D, and APP) or APPLEfast score and survival in dogs or cats. In dogs, HPT was negatively correlated with 25(OH)D (P = .002; r = –0.34) and 1,25(OH)2D (P = .012; r = –0.28), while CRP was positively correlated with HPT (P = .001; r = 0.32) and APPLEfast score (P = .014; r = 0.16). In cats, 1,25(OH)2D was negatively correlated with APPLEfast scores (P = .055; r = –0.49) and SAA was positively correlated with HPT (P = .002; r = 0.73).

CLINICAL RELEVANCE

Serum 25(OH)D or 1,25(OH)2D was not associated with survival in our hospitalized patient population. Relationships between APP and serum vitamin D metabolites with APPLEfast scores in cats warrant further investigation as illness severity biomarkers.
Research on the High-quality Development Mode and Path of Rural “Culture and Tourism +” Integration Based on Data Analysis--Taking Bengbu City, Anhui Province as an Example
Authors: Lyu Bu , Cao Jianlei , Wang Na , Chen Jianhui
Published: March 2024

This study focuses on a high-quality development model that integrates cultural tourism (Literature and Tourism) and rural revitalization, and takes Bengbu City in Anhui Province as a case study to explore the implementation path and effect of the “Literature and Tourism +” strategy, to provide theoretical guidance and practical references for the sustainable development of rural economy. The study adopts the literature review methods, fuzzy comprehensive evaluation and entropy weight methods. It constructs the evaluation index system, including economic benefits, social impact, cultural tourism innovation inputs, etc. The study results show that from 2010 to 2023, the implementation path and effect of the “cultural tourism +” strategy will be improved. The results of the study show that in the development of cultural tourism integration in Bengbu City from 2010 to 2023, the number of tourists received increased from 6,424,800 to 8,237,900, the tourism income increased from 6,636,000,000 yuan to 6,989,000,000 yuan, and the proportion of tourism income to GDP increased steadily. Through in-depth analysis, it is found that there are differences in the development of culture and tourism among villages, such as Wuhe County has the highest level of culture and tourism development, while Huaiyuan County has the lowest. The integrated development of culture and tourism in the villages of Bengbu City has achieved positive results. However, it still needs to be further improved in regional cooperation, product restructuring, infrastructure construction, etc.
Application of BIM technology in whole life cycle management of assembled buildings
Authors: Ma Rong
Published: March 2024

This paper explores the application of BIM technology in the whole life cycle management of assembled buildings and investigates its role in improving construction efficiency, reducing costs and optimizing project management. The application of BIM technology in each stage is analyzed using principal component analysis and structural equation modeling methods. It was found that introducing BIM technology can significantly improve the efficiency of the design, production, construction and later operation and maintenance of assembly buildings. Specifically, in the design stage, BIM technology enhances the design efficiency through collaborative design; in the production stage, the production process is optimized through information management; in the construction stage, the 3D visualization tool of BIM reduces the construction errors and improves the construction efficiency; and in the operation and maintenance stage, the data management function of BIM technology improves the efficiency of the operation and maintenance of the building. The results show that applying BIM technology can reduce costs by about 20% over the entire project cycle. The conclusion indicates that BIM technology plays a vital role in the whole life cycle management of assembled buildings, which not only improves the efficiency, but also significantly reduces the cost, and is of great significance in promoting the modernization of the construction industry.
A study on muti-strategy predator algorithm for passenger traffic prediction with big data
Authors: Fu Yujie , Gao Ming , Zhu Xiaohui , Fu Jihong
Published: March 2024

In this paper, we study the big data multi-strategy predator algorithm for tourist flow prediction and explore the application of the algorithm in optimizing the tourist flow prediction model to improve the prediction accuracy and efficiency. An adversarial learning strategy extends the search space, an adaptive weighting factor balances the global and local search ability, and a variance operation combined with differential evolution is used to avoid local optimal traps. The experiment adopts variables such as network booking volume and search index as inputs for passenger flow prediction. The predator algorithm is trained by Extreme Learning Machine (ELM) to optimize the input weights and biases to build the FMMPAELM model. The results show that on the training samples, the FMMPA-ELM model predictions are highly consistent with the actual values, with a maximum prediction index of 200.On the test samples, although there are errors, the FMMPA-ELM model exhibits better prediction ability than the traditional ELM model. It is concluded that the FMMPAELM model can effectively improve the accuracy of passenger flow prediction and provide powerful decision support for the tourism industry.
The reform and practice path of “curriculum civics” of medical specialties in colleges and universities on the integration of multiple data
Authors: Xin Lin , He Ruhua , Chen Mengge , Xu Ming , Hao Hongliang
Published: March 2024

In the context of the new era, reforming “curriculum and political thinking” in the medical specialty of colleges and universities is a key path to realizing the fundamental task of cultivating moral integrity. The study adopts a blended teaching mode, combines online and offline resources, and focuses on analyzing the learning behavior of medical students. The correlation between learning behavior and performance was analyzed by DH-Kmeans cluster analysis algorithm and Pearson’s correlation coefficient. The experimental data came from the online learning behaviors of students in the 2022-2023 academic year of T Medical College, and a total of 2426 data were collected. The results showed that learning behaviors were highly correlated with grades, especially the number of tasks completed, course video progress, and the number of chapter studies. In addition, the comparative analysis of teaching experiments showed that students in the experimental class were better than the control class regarding ideological values, learning attitudes and grades. The conclusion shows that the blended teaching mode effectively improves medical students’ learning effect and the quality of ideological education.
Application of ultrasonic non-destructive testing in industrial pipeline inspection
Authors: Shi Xiaolong
Published: March 2024

This study focuses on applying ultrasonic non-destructive testing (UT) technology in industrial pipeline inspection, exploring the physical basis of ultrasound and its effectiveness in pipeline defect detection to improve industrial pipeline safety and reliability. We present the basic physical principles of ultrasound, including its propagation properties and reflection mechanisms. The research methodology includes the analysis of the reflection and refraction characteristics of the ultrasonic technology on different curved surfaces of the pipeline, as well as the establishment of probabilistic models to analyze the inspection data. The results show that the ultrasonic detection technology has a high degree of accuracy in detecting pipeline defects. For example, after 40 repeated inspections, the measurement errors of defect length and depth were less than 10%, of which the length measurement error of defect 2 was 7.14% and the depth error was 7.54%. The conclusion shows that ultrasonic non-destructive testing technology can be effectively applied to the safety inspection of industrial pipelines with high reliability and accuracy, which is of great significance for ensuring industrial safety.
Digital Dance Movement Recognition and Correction System Combining Human Skeletal Information
Authors: Li Ke
Published: March 2024

With the development of digital technology, digital dance movement recognition and correction has become a hot research topic. This study focuses on a movement recognition system that incorporates human skeletal information and aims to improve dance movements’ accuracy and correction efficiency. This study develops a digital dance movement recognition and correction system that combines human lean information. This system can recognize and correct dance movements accurately by improving the spatio-temporal graph convolutional network (ST-GCN). The study employs a spatio-temporal graph representation of the human skeleton and spatial graph convolution technique, and enhances the system’s movement recognition capability through an adaptive graph convolution module. The experimental results show that the system achieves an average accuracy of 99.3% in dance movement recognition, 82% and 92% on the publicly available datasets UTKinect and MSRAction3D, respectively, and 95% on the dance movement dataset ETHDance constructed in this study. In addition, by introducing channel, spatial and temporal attention mechanisms, the system also shows high efficiency in dance movement correction. For the correction test of 10 basic dance movements, the correction accuracy is more than 95%, significantly higher than the 69.91% of the traditional method. This study improves the accuracy of dance movement recognition and provides adequate technical support for dance teaching and practicing.
The Logic and Practical Path of Higher Education Curriculum Reform Based on Cognitive Psychology
Authors: Wang Rui , Huo Dongjiao
Published: March 2024

Based on cognitive psychology theory, this study explores the doctrinal logic and practical path of higher education curriculum reform to enhance the effectiveness of higher education programs, with particular attention to improving students’ psychological quality and learning effectiveness. The study uses the finite element method and digital waveguide technology to simulate and analyze the stringed musical instrument. Accurate simulation of the vibration characteristics of the musical instrument is realized through the vibration equations of an ideal string and the principles of the digital waveguide algorithm. The experimental results show that the applied simulation technique can effectively simulate the vibration characteristics of the resonance box of the musical instrument, such as the ideal string vibration and the cavity coupling effect. In addition, the study involves the mathematical expressions of forced vibration and resonance and the effects of various materials on the modal frequencies of the resonance box. The application of artificial intelligence technology in studying acoustic properties of musical instruments significantly improves the accuracy and efficiency of simulation. It provides essential theoretical support for the design and production of musical instruments.
Fault diagnosis technology of CNC electromechanical system in mechanical engineering equipment manufacturing under structural coupling
Authors: Bai Xueqing
Published: March 2024

This study addresses the fault diagnosis technology of CNC electromechanical systems in mechanical engineering equipment manufacturing, and explores the fault detection methods under the influence of structural coupling to improve the accuracy and efficiency of fault diagnosis. The study first analyzes the time-domain and frequency-domain features for fault diagnosis, including quantitative and dimensionless features used to identify different types of faults. Subsequently, the study explores feature dimensionality reduction methods, including algorithms such as PCA, LLE and t-SNE, and compares the effectiveness of their application in fault diagnosis. The research focuses on proposing a lightweight deep learning fault diagnosis framework called LTCN-BLS, which combines 2-DLTCN and 1-DLTCN branches, and an ILAEN-based BLS classifier to effectively extract and fuse time-domain and time-frequency-domain features of the data. The experimental results show that the LTCN-BLS framework has high accuracy and low network complexity in fault diagnosis, and has obvious advantages in early fault monitoring, degradation assessment, and robustness compared with traditional methods.
Research status of abnormal lipid metabolism and tumorigenesis and development
Authors: Liu Zixuan
Published: March 2024

There is a close relationship between abnormal lipid metabolism and tumor malignant behavior, and abnormal lipid metabolism plays a crucial role in developing malignant tumors. Based on BiLSTM model, combined with Transformer Encoder and CRF decoder, the article successfully constructed a joint extraction model of medical literature, and with the help of Neo4j technology, built the knowledge graph of lipid metabolism abnormality and tumor occurrence and development. The study used data sources from WOSCC, CNKI, Wanfang, VIP, and other databases as data sources. It used bibliometric analysis and tools like CiteSpace and VOS viewer to visualize and analyze related studies in-depth. The study results showed that Oral Oncology in the UK ranked first in abnormalities of lipid metabolism in the number of publications, with a total of 301 related papers and an impact factor of 5.118. The number of studies related to oncology increased from 11 in 2010 to 414 in 2023, with a growth of more than 36.64 times. By comprehensively analyzing the current situation of abnormal lipid metabolism and tumorigenesis and development, this paper provides new ideas and perspectives for the study of cancer prevention, diagnosis, treatment and mechanism. It helps to promote the in-depth research and development of related fields.
Design and realization of Lora wireless communication and 5G based middle and long distance running system under the healthy development of innovative sports
Authors: Han Ying , Xue Dong , Wang Peng
Published: March 2024

In innovative sports, integrating new-generation technologies is revolutionizing how we approach and analyze athletic performance. Our research focuses on developing a sophisticated middle and long-distance running system that harnesses the power of modern communication tech, including LoRa connectivity and 5G edge computing. By applying the IMF method, we effectively minimize data noise, enhancing the fidelity of sports signal analysis. Our system’s prowess is evident in its low latency (2.97 ms at 100 nodes), high accuracy (rating of 6.8), and impeccable anti-collision capabilities during competitive events. In practical tests over 1000 meters, it dramatically reduced timing errors to a mere fraction of manual methods, demonstrating its precision and potential to transform physical training and education. This innovation stands as a beacon for the future of sports, driving the integration of technology and athletics.
Effective application of biosensor analytical techniques in drug testing
Authors: Yan Zhiwei , Hao Xiaohui
Published: March 2024

This study explores biosensor technology, focusing on its application in drug detection through advanced quantitative analysis methods: partial least squares (PLS) and probabilistic principal component analysis (PPCA). We developed a rapid quantitative calibration model using azure A, B, and C—metabolites of pefloxacin mesylate and methylene blue— demonstrated through surface-enhanced Raman spectroscopy. The findings highlight the superior accuracy of PLS and PPCA in predicting drug concentrations, with pefloxacin mesylate detection deviations maintained between 0.24%-0.98% and 0.35%-1.02%, respectively. PLS proved to be slightly more effective. This study confirms the potential of biosensor technology in ensuring drug safety, offering substantial support for public health protection and regulatory compliance.
Analysis of Influencing Factors on the Teaching Reform Quality of Visual Communication Design Courses in Colleges and Universities Combined with Entropy Weighted TOPSIS Modeling
Authors: Liu Yichang , Liu Yiming
Published: March 2024

In the fast-evolving field of information technology, visual communication design education must adapt through innovative curriculum reforms. This study employs the CIPP model to develop a robust index system for evaluating the effectiveness of these reforms within higher education institutions. Utilizing the entropy weight method for index weighting and the TOPSIS method for comprehensive evaluation, we assessed the reform quality across 12 colleges and universities. Our analysis, incorporating descriptive statistics and linear regression, reveals that a significant proportion (75%) of institutions score below 0.4, indicating average to low reform quality. Key factors impacting reform quality— teaching attitude, learning attitude, and course content—demonstrate substantial influence, with coefficients of 0.238, 0.648, and 0.658, respectively. All second-level factors showed a significant positive impact on reform quality, with significance coefficients below 0.01. These findings highlight the critical areas for enhancing curriculum reform efforts in visual communication design education.
Exploring the Inheritance and New Changes in Pre-Qin Literature in Cao Zhi’s “Luoshen Fu” Using Network Textual Analysis
Authors: Zhang Mina
Published: March 2024

Through network textual analysis, this paper explores the inheritance and development of Cao Zhi’s Luoshen Fu on pre-Qin literature, revealing its innovations in linguistic style, emotional expression and literary concepts. In-depth discussion of Cao Zhi’s Luoshen Fu on the inheritance and innovation of pre-Qin literature. The study firstly analyzes the main themes and emotional tendencies of Luoshen Fu by modeling textual themes through natural language processing techniques. In the word distribution analysis, we find that the frequency of verb and noun usage in Luoshen Fu is 221‰ and 178‰, respectively, which is significantly higher than the average level of pre-Qin literature (232‰ and 140‰). In addition, Luoshen Fu demonstrates more complex and rich emotional changes in the emotional analysis than Li Sao. By calculating the information entropy value of Luoshen Fu (10.5), compared with the average level of pre-Qin literature (9.8), it reflects its richness and innovation in vocabulary use. Luoshen Fu demonstrates remarkable innovation in language style, emotional expression, and literary concepts while demonstrating a profound ancestry in pre-Qin literature.
Research on School Uniform Style Design and User Experience Based on Virtual Technology
Authors: Hu Zhenhua
Published: March 2024

The development of Virtual Reality (VR) technology has revolutionized many fields, especially in the growing application in fashion and design. Through virtual technology, designers can instantly present the design effect of school uniforms without the need for physical prototypes, and at the same time, collect user feedback to optimize the design scheme. This study uses virtual reality technology to establish a platform for designing and presenting school uniforms. Through experimental design and user research, this technology’s application effect in the school uniform design field is evaluated. VR technology resulted in a 30% increase in the efficiency of designers in designing school uniform styles and a 25% increase in user satisfaction. The platform’s user experience was assessed using the gray fuzzy comprehensive evaluation method, and the score reached 3.56 (out of 5), indicating the overall recognition of the platform by users. The virtual technology used in this study can significantly improve the efficiency and quality of school uniform style design and enhance user experience.
Construction of Intelligent Financial Management Platform Based on Industry-Finance Integration
Authors: Yu Meng
Published: March 2024

Exploring the Construction of intelligent financial management platform based on integrating industry and finance is aimed at improving enterprises’ financial efficiency and management level and realizing the efficient Integration of finance and business. This study centers on an in-depth discussion on the Construction of an intelligent financial management platform that integrates industry and finance. The study finds that integration problems between enterprise finance and business management, such as separation of information systems and insufficient performance evaluation system, lead to interdepartmental cooperation and coordination problems. The proposed intelligent financial management platform is based on ERP and CRM systems and processes data through ETL tools to achieve information sharing. The functional Construction of the platform relies on value correction and knowledge transformation of financial big data, and uses multiple linear regression models to optimize data processing. Empirical studies show that Group T has significantly improved its financial efficiency and management level through the implementation of the platform, which is reflected in the reduction of accounting personnel by 60.22% and the significant shortening of the average audit time of finance. Furthermore, fund management capability was improved, management expenses and expenses were decreased, and performance assessment was more comprehensive. The study concludes that the effective implementation of the intelligent financial management platform can significantly improve the effect of the enterprise’s industry-finance Integration, and promote the enterprise’s overall operational efficiency and competitiveness.
Research on school social work methodology based on predictive control and architectural innovations
Authors: Ni Wei
Published: March 2024

This study focuses on innovations in school social work methods and explores applying predictive control-based models to effectively support and improve students’ mental health and behavioral development. The XGBoost algorithm and support vector machine were employed to predict students’ mental health. The study was influenced by physiological, self, family, school, social, and network factors, and a questionnaire was developed based on the SCL-90 Symptom Self-Rating Scale. A validity rate of 94.32% was achieved by collecting 432 valid questionnaires. The results indicated a significant positive correlation between the influencing factors and students’ mental health, with physiological and family factors being the most influential. An AUC value of 93.6% and an accuracy rate of 93.9% were achieved by the XGBoost-SVM model when predicting students’ mental health. The prediction model can update students’ mental health status in real-time and provide an effective predictive control tool for school social work.
Research on the Innovation Path of Music Education in Higher Vocational Colleges and Universities in the Context of the New Era
Authors: Shi Shuang
Published: March 2024

This study navigates the digital transformation challenges within music education at higher vocational colleges and universities, proposing an innovative approach that integrates modern technology to enhance student musicality. Employing a mixed-methods research framework that combines quantitative and qualitative analyses, we explore the impact of digital teaching tools, including artificial intelligence and multimedia resources, on students’ musical understanding and creativity. Our findings reveal that students engaged with our digital-enhanced educational model exhibit significant improvements in rhythmic sense (30% increase) and creativity (25% increase) compared to traditional settings. This synergy of music education and technology elevates teaching outcomes and fosters innovative thinking among students, suggesting new directions for the evolution of music education in higher education institutions.
Blockchain-based e-commerce supply chain logistics management model innovation in the context of big data analysis
Authors: Hou Dongdong , Zhou Mengke
Published: March 2024

Facing the triple challenges of information opacity, inefficiency, and security in e-commerce supply chain logistics, this study turns to blockchain technology for solutions. Blockchain’s decentralization, transparency, and security features present fresh avenues for overcoming these obstacles. By harnessing the Adaboost algorithm, we optimize logistics data processing to bolster decision-making efficiency. Moreover, using game theory, we analyze how information sharing strategies among enterprises affect logistics management, advocating for a paradigm shift towards cooperative logistics modes. Implementing blockchain technology in our study led to a significant leap in logistics transparency and efficiency, with experimental data revealing a 20% decrease in logistics costs and a 30% enhancement in efficiency. These findings affirm the role of blockchain as a catalyst for innovation in e-commerce supply chain logistics, promoting a more efficient and secure information-sharing ecosystem.
Optimized design research on daylighting performance of cold land buildings based on improved neural network
Authors: Liu Lei , Sun Cheng , Liu Ying , Leng Hong , Yang Yang
Published: March 2024

This study delves into optimizing daylighting in buildings in cold regions, employing an innovative neural network approach to enhance natural lighting efficiency. Cold climates present unique challenges for daylighting, making it essential to improve indoor lighting conditions, reduce energy usage, and enhance occupant comfort. Traditional design methods fall short in optimizing daylighting due to their inability to effectively navigate complex environmental factors and building configurations. We introduce an advanced neural network model that pioneers efficiency and innovation in the daylighting design of cold buildings. This model leverages the GA-PSO-BP framework, integrating Genetic Algorithms (GA), Particle Swarm Optimization (PSO), and Back-Propagation (BP) neural networks to create a potent optimization tool. Our approach focuses on refining key design parameters such as building orientation, floor height, plan depth, and external window design. Notably, specific adjustments to building orientation and floor height significantly boost daylight autonomy (DA) and helpful daylight illuminance (UDI) while maintaining the daylight glare probability (DGP) within optimal limits. Our findings reveal that optimizing building orientation can elevate DA and DGP values by 4.756% and 0.037325, respectively. Similarly, adjustments to floor height can enhance DA, UDI, and DGP values to 51.833%, 51.278%, and 0.361377, respectively. This refined neural network model demonstrates a robust capability to improve daylighting performance in cold-region buildings, offering fresh perspectives and methodologies toward the sustainable evolution of architectural design.
Research on the Reform of English Language Curriculum System in Colleges and Universities Based on SERVQUAL Model
Authors: Wang Weijia
Published: March 2024

This investigation assesses the efficacy of the SERVQUAL model in advancing the quality of English language education within higher education institutions. Confronted with the imperative to modernize teaching content and methodologies to enhance student satisfaction, the SERVQUAL model’s application provides a systematic framework for evaluating and improving service quality dimensions. Employing questionnaires and data analysis to compare teaching quality and student satisfaction before and after targeted curriculum reforms, this study documents substantial improvements, notably in “Responsiveness” and “Reliability,” where satisfaction levels rose by 20% and 15%, respectively. The successful implementation of the SERVQUAL model underscores its utility in elevating the caliber of English language instruction and student satisfaction, offering a practical blueprint for ongoing curriculum reforms in higher education.
Digital Financial Inclusion and Financial Vulnerability Analysis of the Household Economy - Empirical Evidence Based on CFPS
Authors: Fu Lingyan
Published: March 2024

The global landscape of digital financial inclusion aims to extend broader, more accessible, and cost-efficient financial services via digital channels to those marginalized by conventional financial systems. Particularly in developing countries, household economic and financial fragility remains a pressing concern. Economic vulnerability denotes the incapacity of households to withstand unforeseen difficulties in the wake of economic downturns, precipitating a significant deterioration in living standards. This research investigates the role of digital financial inclusion in diminishing household economic vulnerability and enhancing the efficacy of financial services to address this challenge. Employing a fuzzy rough set algorithm to examine the China Family Panel Studies (CFPS) dataset, our analysis identifies critical factors of household economic vulnerability and their interaction with digital financial inclusion services. Findings demonstrate that digital financial services markedly reduce household economic vulnerability, evidenced by a 12% improvement in household solvency and a 20% uplift in financial resilience. Rural and lower-income families derive the most significant benefits from digital financial inclusion. Furthermore, the study underscores the importance of advancing financial literacy and refining financial product design as pivotal strategies in mitigating household economic vulnerability. This research offers valuable insights for policymakers and financial service providers on leveraging digital technology to bolster household economic stability.
Risk prediction and control of strategic operation of e-commerce enterprises based on economic management science
Authors: Hong Qingyu , Luo Lei , Zhang Yanting
Published: March 2024

The burgeoning realm of Internet technology has ushered e-commerce into a pivotal economic role. However, navigating the myriad risks inherent in e-commerce operations is vital for the sustained growth of businesses in this sector. This study melds economic management principles with a deep dive into e-commerce risk management, focusing on predictive strategies and mitigation measures. We commence by dissecting the principal risk categories within e-commerce operations. Subsequently, we employ Structural Equation Modeling (SEM) and Particle Swarm Optimization-Generalized Regression Neural Network (PSO-GRNN) for quantitatively dissection of these risk factors. Our findings pinpoint internal, technological, and operational management risks as the critical triad influencing e-commerce strategic operations. Remarkably, the PSO-GRNN model’s risk prediction accuracy stands at 93.62%, outstripping conventional models significantly. Through this research, we offer a robust framework for e-commerce entities to enhance their strategic foresight and resilience, aiding in optimizing their strategic maneuvers.
An Informational Model of Mathematics Teaching and Research Activities Based on the ARCS Model
Authors: Hu Jun
Published: March 2024

Enhancing the quality of mathematics education is pivotal, with teaching and research activities playing a critical role. This paper explores integrating the ARCS model—a framework designed to boost and maintain learning motivation—within an informational mathematics teaching and research approach to elevate teaching effectiveness and student motivation. Over four months, an experimental study involving second and third senior classes from College X compared the impacts of an ARCS-based informational model against traditional teaching methods. Utilizing classroom observations, surveys, and achievement analyses, the study revealed that the experimental group outperformed the control group in employing motivational strategies, teaching efficacy, and fostering student motivation. Specifically, the experimental group more effectively utilized the ARCS model’s four dimensions: Attention, Relevance, Confidence, and Satisfaction. Moreover, the experimental group’s motivation scores surged by an average of 2.48 points post-test, significantly outpacing the control group’s marginal increase of 0.19 points (p<0.05). Additionally, mathematics scores in the experimental group saw a 12% average increase compared to the control group. These findings demonstrate that the ARCS-based informational teaching model significantly boosts student motivation and learning outcomes, offering a novel approach for high school mathematics education.
Virtual Reality-based Visualization of Optical Illusion in the Art and Design Field
Authors: Huang Xiaozhou
Published: March 2024

Virtual reality technology has transformed numerous fields, including art design, where its implications are particularly profound. This study explores the integration of optical illusion with virtual reality to offer novel expressions and perspectives in art. This approach generates unparalleled visual effects by leveraging visual discrepancies and augmented reality. It softens the divide between the virtual and tangible worlds, enriching art design’s creative domain.Our research demonstrates the effective visualization of three-dimensional objects and the streamlined post-processing of images. Employing optical illusion technology, we observed an average enhancement of 37% in the accuracy of categorizing illusions, alongside a notable increase in the perceived depth of images without special equipment. Specifically, the perceived three-dimensional effect of images processed through this technology scored an average of 67.57, significantly from the unprocessed images’ score of 54.83. Furthermore, a case study on ‘No Signal’ design illustrates how dynamic optical illusions can dramatically amplify the visual impact and novelty experienced by viewers.In summary, applying optical illusions grounded in virtual reality technology profoundly enhances artworks’ visual appeal and broadens art design’s expressive capabilities. This advancement holds considerable theoretical and practical relevance, underscoring its significance and potential in art and design.