bluuebunny/crossref_metadata_2025 huggingface dataset:
"THE ANTECEDENTS FOR EFFECTIVENESS OF AUTOMATED ENFORCEMENT SYSTEM (AES) IN MALAYSIA"
Authors:   Faculty of Administrative Science and Policy Studies, UiTM Negeri Sembilan, Mohd Ramlan Mohd Arshad , Mohd Nazir Rabun ,   Faculty of Administrative Science and Policy Studies, UiTM Kedah, Mohd Azrul Asraf Kamarulzaman ,   Road Transport Department (JPJ), JPJ Negeri Pulau Pinang
Published: February 2024

This study aims to investigate the antecedents of the effectiveness of the Automated Enforcement System (AES) in Malaysia. Apart from that, the main objective is to identify the relationship between reducing road accidents, human errors, external conditions, government revenue, and the effectiveness of AES implementation in Malaysia. A total of 200 respondents in this study were the drivers who used highways (PLUS) equipped with an AES system. Purposive and convenience sampling techniques were used with a questionnaire as the instrument. Descriptive and inferential statistics conducted are Pearson correlation and multiple regression analyses. The findings show that there is a significant relationship between reducing road accidents, human errors, external conditions, government revenue, and the effectiveness of the AES system. However, regression analysis shows that reducing road accidents was found to be the main antecedent that affected the effectiveness of AES. Hence, various parties such as authorities, non-governmental bodies, and drivers have benefited from the study.
"PROFICIENCY IN ARABIC LANGUAGE AND ITS INFLUENCE ON COMPREHENSION OF TEXT READING OF ARABIC LITERARY SUBJECTS"
Authors:   Universiti Teknologi MARA Kelantan, Malaysia, Muhammad Saiful Anuar Yusoff ,   " SMK Agama Wataniah, Machang, Kelantan", Zawiah Seman
Published: February 2024

The subject of Arabic Literature is one of the important subjects that should be taken by students who want to take the Sijil Tinggi Agama Malaysia (STAM) examination. This subject requires high skills in understanding poetry and prose texts to get good results in the Sijil Tinggi Agama Malaysia (STAM) examination. To understand a reading text, a mastery of the Arabic language involving aspects of vocabulary and grammar is required. However, the low achievement of students in the subject of Adab and Nusus raises questions related to students' comprehension when reading Arabic literary texts. This situation caused the students' Arabic language proficiency to be questioned. Therefore, this study was conducted with the aim of looking at the level of reading comprehension of Arabic literary subjects. In addition, this study also aims to identify the influence of Arabic language proficiency on the text reading comprehension of STAM Arabic literature subjects. A total of 400 questionnaires were distributed to students who took the STAM examination in Kelantan. Of that total, 375 data were used after the data cleaning process was carried out. The results of the analysis using Muhammad Saiful Anuar Yusoff & Zawiah Seman 96 SmartPLS 3.0 software showed that the Arabic language proficiency factor (β=0.486, t=12.242, p<0.01, f 2 =0.300) positively influenced the reading comprehension of Arabic literature subjects with the total variance described by this factor as 23.1% (R2 = 0.231). This finding proves the great contribution of Arabic language proficiency factors to the reading comprehension of Arabic literary subjects. Mastery of aspects of Arabic vocabulary and grammar should be given priority in realizing the reading comprehension of the reading text and in turn ensure excellence in the subject of Arabic literature STAM
THE EFFECT OF STUDY SKILLS ON THE ACADEMIC PERFORMANCE OF DIPLOMA IN ACCOUNTANCY STUDENTS OF UITM SARAWAK
Authors:   Faculty of Accountancy, Universiti Teknologi MARA, Sarawak, Josephine Avelind Noyem , Delilah Samson Juan ,   Faculty of Accountancy, Universiti Teknologi MARA, Sarawak, Azalilah Kassim ,   Faculty of Accountancy, Universiti Teknologi MARA, Sarawak, Azlin Abdillah ,   Faculty of Accountancy, Universiti Teknologi MARA, Sarawak, Mariam Rahmat ,   Faculty of Accountancy, Universiti Teknologi MARA, Sarawak
Published: February 2024

This study aims to examine the relationship between study skills and their effect on academic performance of Diploma in Accountancy students of Universiti Teknologi MARA Sarawak. This study covers a total of 142 selected final year students. Data were collected and analyzed using Kruskal-Wallis Test. Among the study skills, it was observed that the “Test Strategies and Test Anxiety” skill was significantly different between low performing and high performing students. Only Test Strategies and Test Anxiety skills affected students’ academic performance. An emphasis should be put on test-taking strategies and anxiety management in their early years of tertiary education as this could potentially influence their academic performance.
UNDERSTANDING FOREST DEGRADATION – A REVIEW OF FOREST STRUCTURE INDICATORS
Authors:   Fakulti Perladangan dan Agroteknologi, Universiti Teknologi MARA, Kota Kinabalu, Sabah, Alexius Korom ,   " Fakulti Sains Gunaan, Universiti Teknologi MARA, Kota Kinabalu, Sabah ", Mohd Shahrizan Syukur, , Ajimi Jawan ,   Fakulti Sains Gunaan, Universiti Teknologi MARA, Shah Alam, Selangor, Mohd Nazip Suratman ,   Fakulti Pertanian Lestari, Universiti Malaysia Sabah, Sandakan, Sabah", Mohamadu Boyie Jalloh ,   " Fakulti Pertanian Lestari, Universiti Malaysia Sabah, Sandakan, Sabah", Mohd Azizul Hafiz Jamian ,   Fakulti Sains Sosial dan Kemanusiaan, Universiti Malaysia Sarawak, Kota Samarahan, Sarawak, Zulkiflee Abd Latif ,   Fakulti Senibina, Perancangan dan Ukur, Universiti Teknologi MARA, Shah Alam, Selangor
Published: February 2024

Forest degradation has profoundly impacted the forest structure which has affected the carbon stock, biodiversity, microclimate and function of the ecosystem. This consequently reduces the forest’s capacity in providing goods and services. Forest degradation is typically a multi-stage anthropological process that develops gradually but might be accelerated by phenomena such as forest fires, storms, landslides, or floods. Hence, identification of site-specific forest degradation is crucial in the forest management system. Unlike deforestation, estimating the carbon emission from forest degradation is challenging due to the difficulty in defining the motive of degradation itself. Under the Reducing Emissions from Deforestation and Forest Degradation-plus (REDD+) framework, it is important to measure the changes in forest structure. This study discusses a few related forest structure indicators in assessing forest degradation such as the canopy cover, aboveground biomass and stand structure. To understand forest degradation, it is necessary to understand the forest structure indicators which could contribute to establishing a better forest management system
Augmented reality application: enhancing visitor experience at the Sabah State Museum
Authors:   Universiti Teknologi MARA Sabah Branch, Kota Kinabalu Campus, MOHD YATIM MOHD DARNISH SYAHMI , RABUSAH NUR SABRINA ,   Universiti Teknologi MARA Sabah Branch, Kota Kinabalu Campus, OMAR AAQILAH ,   Universiti Teknologi MARA Sabah Branch, Kota Kinabalu Campus, GATU ALVIN ,   Universiti Teknologi MARA Sabah Branch, Kota Kinabalu Campus, MOHAMAD MUSA NURAFIQAH ,   Universiti Teknologi MARA Sabah Branch, Kota Kinabalu Campus, MOHD ZAIDI NUR MURNIZA ,   Universiti Teknologi MARA Sabah Branch, Kota Kinabalu Campus
Published: February 2024

Advancements in technology and its merging with tourism is making travel a more pleasurable and memorable experience. Now, more than ever, travelers and visitors can enjoy visiting places with the use of technical apparatus and the internet. The development and advancement of Augmented Reality (AR) in tourism enables people to use digital visual components, sound, or other sensory stimulation transmitted via technology to create an improved version of the real physical world. Hence, the purpose of this study is to examine the effects of Augmented Reality in augmenting the experiences of visitors to the Sabah State Museum specifically in terms of learning outcomes, entertainment experiences, and expectations met. The study applied a quantitative approach and analysis that focused on visitors to the museum who reside in Kota Kinabalu. Through purposive sampling technique and cross-sectional data collection, 388 responses met the requirements of the survey and were used for data analysis. Data was collected via Google Form while the survey questionnaire was adopted from various previous studies with some modifications. Based on the results, the learning outcomes significantly affected the visitor experience as AR was instrumental in increasing the learning outcome. In addition, it was found that using AR features attracted visitors to learn more using the technology provided by the museum. As for the entertainment experience, the results of the study also showed a positive effect of the usage of AR on the visitors’ experience in the museum. Thus, the findings have important contributions particularly how AR can enhance the visitors’ experience at the Sabah State Museum.
Analisis perubahan norma baharu aktiviti harian berasaskan penggunaan ICT dalam kalangan masyarakat di Sabah, Malaysia sebelum dan selepas PKP
Authors:   Pusat Penataran Ilmu & Bahasa (PPIB) Universiti Malaysia Sabah (UMS), Kota Kinabalu, Sabah, ATIONG ROMZI 
Published: February 2024

Pelaksanaan Perintah Kawalan Pergerakan (PKP) berikutan penularan pandemik COVID-19 memainkan kesan yang signifikan terhadap norma harian masyarakat seluruh dunia. Kesan seumpamanya dapat dikesan dalam konteks penggunaan Teknologi Maklumat dan Komunikasi (Information and Communication Technology, ICT) masyarakat di negeri Sabah, Malaysia, khususnya dalam aspek pengurusan kewangan dan ekonomi. Namun demikian, tidak dapat dipastikan sejauh manakah perbezaan norma baharu aktiviti harian berasaskan penggunaan ICT dalam konteks pengurusan kewangan dan ekonomi dalam kalangan masyarakat tersebut sebelum dan semasa PKP tersebut. Bagi menjelaskan hal ini maka kajian yang mengaplikasi pendekatan kuantitatif dengan penggunaan borang soal selidik yang dijawab oleh sejumlah 1228 responden telah dijalankan. Objektif utama kajian ini ialah bagi menjelaskan perbezaan atau perubahan norma baharu penggunaan ICT dalam aktiviti harian masyarakat di Sabah, Malaysia yang meliputi aspek pengurusan kewangan dan ekonomi sebelum dan semasa PKP. Secara umum kajian ini mendapati bahawa perubahan signifikan telah berlaku ke-atas norma kehidupan masyarakat di Sabah berdasarkan aspek yang dikaji sebelum dan semasa PKP berlangsung. Ini menunjukkan pelaksanaan PKP telah mendatangkan kesan yang ketara dalam kehidupan masyarakat di Sabah, Malaysia.
Editorial for Characterization and Application of Nanomaterials (Vol-ume 6 Issue 1)
Authors: Hatami Amir
Published: February 2024

Nanomaterials stand as transformative elements across diverse domains, ranging from biotechnology, aircraft, aviation, and space exploration to medicine, health, environmental preservation, resources, energy, and aerospace. This issue, comprising nine original research articles and two insightful reviews, we embark on a journey to unravel the multifaceted uses of nanomaterials, with a special emphasis on their contributions to environmental protection and medicine. Delving into the unique traits of various nanomaterials, our aim is to provide readers with a comprehensive understanding that transcends conventional boundaries, fostering a deeper appreciation for the impact of nanomaterials.
On observer compensator design for non-autonomous control semi-linear evolution equations
Authors: Badri Fatma , Damak Hanen , Hammami Mohamed Ali
Published: February 2024

This paper investigates the Luenberger observer design problem for non-autonomous control semilinear evolution equations with disturbances in Banach spaces. Then, the practicalstabilization problem of the system is solved, yielding a compensator based on the Luenberger observer by using integral inequalities of the Gronwall type. Sufficient conditions of the controller and observer problem are satisfied, we show that the proposed controller with estimatedstate feedback from the proposed practical Luenberger observer will achieve global practical stabilization. We develop novel ideas and techniques, which present the further development of mathematical control theory. Furthermore, an example is given to show the applicability of our theoretical results.
Many direct-to-consumer canine genetic tests can identify the breed of purebred dogs
Authors: Rando Halie M. , Graim Kiley , Hampikian Greg , Greene Casey S.
Published: February 2024

OBJECTIVE

To compare pedigree documentation and genetic test results to evaluate whether user-provided photographs influence the breed ancestry predictions of direct-to-consumer (DTC) genetic tests for dogs.

ANIMALS

12 registered purebred pet dogs representing 12 different breeds.

METHODS

Each dog owner submitted 6 buccal swabs, 1 to each of 6 DTC genetic testing companies. Experimenters registered each sample per manufacturer instructions. For half of the dogs, the registration included a photograph of the DNA donor. For the other half of the dogs, photographs were swapped between dogs. DNA analysis and breed ancestry prediction were conducted by each company. The effect of condition (ie, matching vs shuffled photograph) was evaluated for each company’s breed predictions. As a positive control, a convolutional neural network was also used to predict breed based solely on the photograph.

RESULTS

Results from 5 of the 6 tests always included the dog’s registered breed. One test and the convolutional neural network were unlikely to identify the registered breed and frequently returned results that were more similar to the photograph than the DNA. Additionally, differences in the predictions made across all tests underscored the challenge of identifying breed ancestry, even in purebred dogs.

CLINICAL RELEVANCE

Veterinarians are likely to encounter patients who have conducted DTC genetic testing and may be asked to explain the results of genetic tests they did not order. This systematic comparison of commercially available tests provides context for interpreting results from consumer-grade DTC genetic testing kits.
The sodium correction factor for dogs undergoing treatment for a hyperglycemic crisis is a 1.6-mEq/L decrease in sodium per 100-mg/dL increase in glucose
Authors: Gough Sanna M. , Thevelein Britt , Brainard Benjamin M. , Koenig Amie
Published: February 2024

OBJECTIVE

To determine the sodium correction factor for clinical use in hyperglycemic diabetic dogs.

SAMPLE

Retrospective analysis of 76 hospitalization episodes from 67 different dogs presenting to the University of Georgia Veterinary Teaching Hospital between January 1, 2015, and January 1, 2023.

METHODS

For each hospitalization episode, paired blood sodium and glucose concentration measurements were recorded from the time of presentation until glucose concentration was ≤ 201 mg/dL. Therapies administered, primary diagnosis, and concurrent diseases were also recorded for each episode. A linear mixed model was used to determine the sodium correction factor per 100-mg/dL increase in glucose. Piecewise linear mixed models were also constructed for blood glucose measurements ≤ 400 mg/dL and > 400 mg/dL to explore potential correction factor differences between low and high glucose concentrations.

RESULTS

A sodium correction factor of a 1.6-mEq/L (95% CI, 1.3 to 1.9 mEq/L) decrease in sodium concentration per 100-mg/dL increase in blood glucose concentration was calculated. Differences in the correction factor between conditions of low and high glucose concentrations could not be determined due to a small sample size of blood glucose values > 400 mg/dL. Most dogs received similar treatments throughout the study period, including balanced isotonic crystalloids (97% [74/76]), electrolyte supplementation (84% [64/76]), and regular insulin (97% [74/76]). Almost all patients (93% [71/76]) had 1 or more concurrent diseases.

CLINICAL RELEVANCE

A sodium correction factor of 1.6 mEq/L (decrease in sodium per 100-mg/dL increase in glucose) is recommended for clinical use in hyperglycemic diabetic dogs.
Power Semiconductor Losses Simulation Capabilities in Matlab/Simulink
Authors: Gordan Daniel , Pástor Marek
Published: February 2024

The paper describes methods of simulation conduction and switching losses of power semiconductors in MATLAB/Simulink. The comparison of simulation results for Infineon’s semiconductor with PLECS Standalone simulation is presented. The results show that the simple ideal switching model of the IGBT in Simulink gives similar results to the PLECS simulation with the Infineon PLECS library.
Implementation Mechanism of Industry-Education-Creation Mixed Ownership Industrial College Based on AHP Fuzzy Evaluation Model
Authors: Li Li
Published: February 2024

The management of modern industrial colleges is the deepening and developing the fusion of industry-teaching-creation and school-enterprise cooperation talent cultivation mode, which has strategic height and practical significance. This paper establishes the evaluation index system of the implementation mechanism of industrial colleges based on BSC theory. It creates the implementation mechanism model of mixed teaching and learning in industrial colleges. Combining qualitative and quantitative analysis, the hierarchical and fuzzy hierarchical analysis methods are used to construct the hybrid teaching quality evaluation model of industry-teaching-creation. Then the weights of the evaluation indexes of the implementation mechanism of industrial colleges are calculated. The industrial colleges of college A and college B are selected as the research objects to comprehensively evaluate the implementation effect of their mixed industry-teaching-creation teaching. The optimal model is determined by calculating the comprehensive scores of the five industry-education-creation hybrid teaching implementation mechanisms. The study shows that the highest weight of finance is 0.333. The total scores of college A and B are 80.56 and 83.33, and college B has a higher level of industry-teaching-creation hybrid teaching implementation mechanism. The composite score of the co-constructed science and technology park model is 0.233, the optimal mixed teaching implementation mechanism of Industry, education and creativity.
The Influence of Self-Media on Mainstream Media News Dissemination in the Perspective of New Media
Authors: Wang Jing
Published: February 2024

In this paper, web crawler technology is used to obtain research data on news dissemination of self media and mainstream media, data cleaning is performed on the initial data through Pandas package, and the processed research data is stored in the database. From the acquired research data of self media and mainstream media news dissemination, the independent variables and dependent variables are determined to complete the construction of linear regression model of mainstream media news dissemination, and the influence of self media on mainstream media news dissemination is judged by calculating the correlation coefficients of the linear regression model. The results show that compared with X1, X3 (Bate=0.223, p<0.01) and X7 (Bate=−0.016, p<0.01), have a significant positive effect on the overall communication effect of mainstream media, indicating that the comprehensive population coverage and communication speed of self media undoubtedly bring considerable influence on the news dissemination of mainstream media. This study hopes to provide theoretical support for the research of related workers. It significantly promotes the joint development of self media and mainstream media news dissemination.
Optimization of the realization of social practice cultivation function in colleges and universities combined with multi-objective optimization algorithm
Authors: Zhou Qing , Yu Jianguo , Li Zhenyu , Wang Qian , Gao Yiqing
Published: February 2024

With the construction of China’s socialist modernization, the social demand for practical talents is increasing. In this paper, in the multi-objective optimization problem of social practice parenting in colleges and universities, each planning objective is assigned to select an adaptability function. And the individuals are sorted and stratified according to the calculated fitness values to generate sub-fitness tasks that are more suitable for promoting individuals in each layer. Finally, using college students and faculty members from five universities in province G as a research case, the entropy weight method is used to calculate the weights of secondary indicators in the multi-objective optimization model, which together form a set of particle vectors and search for the optimal solution within a limited range. The results show that the final calculation of the indicators affecting social practice in colleges and universities yields a mean value of 4.27, close to the set value of 5. It shows that the multi-objective optimization has good adaptability and the solution results are more accurate. At the same time, it is found that the empirical measurements are all in line with the actual situation of the universities, which once again shows that the model’s design is reasonable and practical.
Virtual Practice Teaching of Civics Classes in Colleges and Universities in the Context of Big Data Technology
Authors: Yuan Xiaochen
Published: February 2024

In this study, we successfully realized the interaction design of virtual Civics teaching scene through multiresolution hierarchical detail (LOD) model, and constructed an immersive teaching environment using texture mapping technology. Combined with the gesture recognition and training of Adaboost classifier, this paper proposes an innovative interaction model for virtual Civics and Politics teaching. Through in-depth Analysis of the virtual interactive teaching elements of Civics courses in colleges and universities, this study conducted a covariance analysis of the aspects of creativity, critical thinking, metacognition, self-efficacy, and scientific ideological reasoning. Then it explored the effects of different places of origin and types of schools on the acceptance of virtual Civics courses by the students. It was found that among the science and engineering and teacher training students, the science and engineering students paid more attention to the virtual Civics teaching (3.36 and 3.05, respectively). In addition, compared with traditional Civics teaching, virtual practice teaching significantly increased students’ motivation (3.79), proving that Civics courses incorporating virtual interaction design have significant advantages in improving learning attractiveness.
Research on Text Value and Linguistic Characteristics in Ancient Literature Based on Text Mining Technology
Authors: Wu Yujun
Published: February 2024

By combining mining algorithms, this paper provides a new method for quantifying the characteristics of literary language, thereby reducing the subjectivity of the value and language discussion of ancient literature in Chinese. Firstly, the TF-IDF algorithm is improved, the methods of inter-class dispersion and intra-class dispersion are adopted, and the optimal number of topics K of the LDA topic model is determined by using the confusion degree, and the quantitative model of the value and language characteristics of ancient literary texts is constructed. Furthermore, the concept of maximum word-to-frequency ratio is introduced. It is integrated into the traditional information gain method, and an old academic text recognition algorithm based on XGBoost model is constructed. The model’s results were applied to the network corpus mining and analysis, and the results showed that the word “cherishing spring” ranked first with a frequency of 7085 occurrences, followed by “hurt autumn” with 4598 occurrences. Among the eight themes, “natural imagery” (Topic 3) accounted for the highest proportion, reaching 23.68%, followed by “landscape and pastoral” (Topic 7) and “euphemistic words” (Topic2), accounting for 16.29% and 14.54%, respectively. The method of this paper not only provides a new perspective and tool for the quantitative analysis of the linguistic characteristics of literary works, but also points out a new research direction for the in-depth discussion of textual value and linguistic characteristics in the future.
Digital Innovation Path of Traditional Music Culture into Modern Informational Music Teaching
Authors: Zhang Chunfeng
Published: February 2024

This study proposes an intelligent teaching model for music that incorporates traditional music culture and scientifically evaluates learning outcomes through a simulated annealing algorithm. The algorithm determines the initial temperature by adaptive function transformation, which enhances its applicability and generalization. The music intelligent teaching model is applied in actual teaching and data are collected by comparing and analyzing the learning outcomes of two parallel classes using questionnaires and statistical methods. The results of the experiment showed that the mean scores of the students in the experimental class were significantly better than those of the control class in terms of linguistic intelligence (P=0.042) and musical intelligence (P=0.003), indicating the effectiveness of the teaching model. The most significant advantage of the model is that it allows students to learn anytime, anywhere, free from the constraints of time and space, which amounted to 60.8%. However, its main limitation was the tonal differences in digital course recordings. Overall, this study provides new ideas and methods for intelligent teaching of music integrating traditional cultural elements, which is of great significance for improving the quality of education.
Study on the Path of Enhancing the Effectiveness of College Students’ Education and Management in the Context of Informatization
Authors: Chen Miaoqin
Published: February 2024

To cope with the problems existing in the education and Management of students in traditional colleges and universities, improve the management efficiency and realize the informatization of education management, this study proposes a set of optimization paths for the education and Management of students in colleges and universities. In this paper, an intelligent and diversified education management platform is constructed, aiming to strengthen the operation efficiency of the education management team in colleges and universities. By introducing a fuzzy evaluation algorithm to judge the educational management paths of college students and normalizing the input data, empirical evaluation results are derived. Comparative Analysis of the data in the study showed that the optimized educational management path significantly improved students’ daily behavior and mental health status. Students’ average daily online time was effectively controlled between 5.6 and 10.5 hours, the online period was more in line with the healthy work and rest, and the rates of disciplinary behaviors and Internet fraud victimization decreased respectively. At the same time, students’ mental health and learning effects were also improved. In summary, the education and management path for college students proposed in this paper significantly strengthens the management system and comprehensively cultivates students. It provides an effective informatization strategy for education management in colleges and universities.
Preparation and properties of biodegradable biomedical metal zinc alloy
Authors: Liu Lijun , Li Weimin , Zhang Xiaoli
Published: February 2024

In this study, the effects of Mg addition on the organization refinement and mechanical properties of the alloys were investigated by designing Zn-Mg binary alloys with different compositions. Solution treatment and cold drawing successfully prepared fine wire materials with smooth surface and uniform organization. The material’s mechanical properties were further improved by treating the fine wires with an optimized annealing process. Electrochemical tests and in vitro degradation experiments showed that the degradation properties of the alloy in simulated body fluids were closely related to the alloy composition and microstructure. Cytotoxicity tests showed that the prepared Zn-Mg alloys were significantly cytotoxic to tumor cells. The corrosion weight loss analysis revealed the corrosion behavior of the alloy and its trend with time. Overall, this study provides critical experimental data and theoretical basis for preparing biodegradable biomedical metal-zinc alloys with excellent performance, and lays a solid foundation for future clinical applications.
Optimization of Psychological Characteristics and Education Management Path of Poor College Students in Colleges and Universities Based on Improved PCA
Authors: Ding Zhengrong , Zhou Yuan
Published: February 2024

Aiming at the mental health problems of poor college students, this study proposes an expression recognition method based on the optimization of PCA algorithm and applies it to the mental health test framework. By comparing the differences between poor college students and norms, and using multiple linear regression and typical correlation analysis to explore the impact of educational management paths. The study also addressed the effect of different types of colleges and universities on the level of management of academic support for poor students, and found that 985 colleges and universities significantly outperformed the norm in this area, i.e. P > |t| = 0.031. This provides valuable insights into improving educational and psychological support for poor college students.
Performance Optimization of Machine Learning Algorithms Based on Spark
Authors: Luo Weikang , Zhang Shenglin , Xu Yinggen
Published: February 2024

This paper proposes a performance optimization strategy for Spark-based machine learning algorithms in Shuffle and memory data management modules. The Shuffle module is optimized by introducing Observer monitoring module in Spark cluster to achieve task status monitoring and dynamic ShuffleWrite task generation. Meanwhile, an adaptive caching mechanism for RDD data addresses the lack of in-memory data caching. The performance-optimized algorithm performs well in the experiments, with a clustering accuracy of 89% and a response time that is 5% faster than the Random Forest algorithm. In road network traffic state discrimination, the optimized algorithm’s classification decision F-measure value is as high as 99.53%, which is 5.32% higher than that before unoptimization, and the running time is 767 seconds less than that of the unoptimized algorithm when dealing with about 6,880,000 pieces of data, which significantly improves the efficiency and accuracy.
Construction and Implementation of Innovation and Entrepreneurship Education System in Colleges and Universities in the Internet Era
Authors: Li Baozhen
Published: February 2024

This study focuses on Innovation and entrepreneurship education resources in colleges and universities, constructs a comprehensive innovation and entrepreneurship education system in colleges and universities through the application of Internet technology, and discusses its logical structure and implementation path in depth. Based on this System, an evaluation system for the quality of Innovation and entrepreneurship education in colleges and universities, which contains four primary indicators and 20 secondary indicators, is screened by expert survey method, and an evaluation model is constructed by combining entropy weight method and TOPSIS algorithm. By analyzing the data, this paper comprehensively assesses the development level of Innovation and entrepreneurship education in Chinese colleges and universities in each province. The results show that 2016 Beijing’s composite score was 0.577; by 2020, Guangdong’s composite score was raised to 0.737, significantly higher than that of other provinces. However, the 10-year average combined scores of Xinjiang, Tibet, Ningxia, and Qinghai in western China were lower than 0.07, highlighting the uneven development of university innovation and entrepreneurship education in the eastern and western regions. The findings of this study provide valuable references for the construction of Innovation and entrepreneurship education system in colleges and universities. They are of great practical significance in promoting the development of Innovation and entrepreneurship education in colleges and universities.
Analysis of College Students’ Consumption Behavior Characteristics Based on ADDIE Model under the Background of Ideological and Political Education
Authors: He Zihao
Published: February 2024

This paper provides an in-depth study of the consumption characteristics of college students, which is not only related to the high-quality development of the economy, but also vital to students’ physical and mental health. The study uses the ADDIE teaching model, combined with the Apriori association algorithm and the K-means++ algorithm to analyze the intrinsic correlation of college students’ consumption behaviors. While applying the traditional association rule’s confidence and enhancement calculation methods, the study adopts a horizontal weighting method with downward closure nature to obtain the weights of the maximum weighted items in the item set. In addition, based on the distance between the initial clustering center and the sample point, the probability of the sample point becoming the next clustering center is calculated to enhance the clustering effect. After the model is built, the performance test is conducted firstly. Then the ADDIE-based model for teaching Civics in colleges and universities is designed and analyzed using the model of this study. It is found that after the occurrence of follower consumption behavior (C), there is a 100% probability of shifting to differentiated consumption (E). There is a 94.7% likelihood that personalized consumption will occur after the follower consumption behavior (C). There is an 85.67% likelihood of excellence for those students who spend low amounts of money, less frequently, and more off-campus. The survey revealed that 11.57% of the student population falls under this consumption profile. These findings have important implications for understanding the consumption behavior of college students and its impact on education and the economy.
Research on the Influencing Factors and Countermeasures of Cultivating Financial Innovation Talents under the Background of Big Data
Authors: Xu Feng
Published: February 2024

The lack of high-quality financial innovation talents has become an obvious shortcoming in the development of financial innovation, and the call for the cultivation of talents to adapt to the increasingly changing new economic environment has become increasingly urgent. This study extracted the key factors affecting the cultivation of financial innovation talents by preprocessing the relevant data and eliminating the unreasonable information, and used factor analysis to remove the key factors influencing the cultivation of financial innovation talents, and used Pearson’s correlation coefficient method and correlation rule analysis algorithm to analyze the interrelationships between these factors in depth. The analysis results show that the correlation coefficients between the level of economic development and educational background and technological innovation reach 0.69 and 0.58, respectively, while the correlation coefficient between the level of human capital and the level of technological innovation is 0.46. Analyzing the level of financial innovation talent cultivation, we find that financial innovation development grows from about 22.5% to about 37.5% from 2016 to 2023. At the same time the amount of financial innovation talent grows from 490,000 to 880,000 people. However, the growth of financial innovation talent is gradually slowing down, pointing to the urgent need to develop talent. The strategies and suggestions put forward in this study provide essential references for cultivating financial innovation talents in the future, aiming to promote the sustainable development of financial innovation and the optimization of talent structure.
Construction of Physical Education Teaching Reform Innovation Guarantee System Based on Multivariate Statistical Analysis
Authors: Yang Hong
Published: February 2024

To promote the innovative reform of physical education teaching, this paper adopts the multivariate statistical analysis method to construct a set of multivariate evaluation system. A comprehensive assessment and classification of teaching quality was realized through principal component analysis, flower-pollinated cluster analysis and robust factor analysis model. The teaching quality assessment system of the physical education option course designed in this study includes four primary indicators and 13 secondary indicators. The results showed significant differences in teaching quality among teachers, and the three retained principal factors could reflect 78.15241% of the student performance information, which provided a vital quality control reference for physical education teaching.
Innovation and Informatization of Civics Teaching Mode in Colleges and Universities under Integrated Transfer Learning Strategies
Authors: Zou Liegang
Published: February 2024

This study addresses the problem of predicting student performance by proposing a heterogeneous transfer learning method based on FMBCC-FT, which aims to accurately predict students’ Civics knowledge mastery. The study achieves effective knowledge transfer by defining university Civics teaching as the source domain and considering the university’s demand for students’ Civics dynamics as the target domain. After collecting and standardizing students’ Civics education data, this study constructed a knowledge base model of Civics teaching based on the source domain data and migrated it to the target domain. To compensate for the bias in the migration, the study designed a three-stage iterative optimization migration weight learning method, which significantly improved the quality of Civics teaching by updating the parameter weights of the source domain model. The process was verified through the experimental control group pre and post-tests. The results showed that the total score of critical thinking ability pre and post-tests was −3.39. The students’ innovative consciousness score in the experimental group was 3.96, which was significantly higher than that of the control group, which was 0.18. In addition, the scores of the quality dimensions of the students in the control group and the experimental group ranged from 3.22 to 3.40 and 3.43 to 3.68, respectively. This empirical result effectively confirms that the Civics teaching model proposed in this paper can effectively improve students’ critical thinking ability, innovation consciousness and overall quality, which is of great guiding significance to the current practice of Civics teaching in colleges and universities.
Research on key technology of transmission and OPGW line hidden danger prediction based on neural network
Authors: Wang Xin , Liang Gang , Li Qing , Cui Limin , Hu Changyue , Wang Xiaozhen
Published: February 2024

This paper focuses on the high-quality detection of hidden safety hazards in transmission and OPGW lines, and adopts neural network technology as the research basis. A Faster-R-CNN network structure model is constructed to realize end-to-end target detection by combining RPN and Fast-R-CNN network structure. To further improve the detection accuracy, the BAM algorithm is introduced to enhance the Faster-R-CNN, to realize the accurate detection of hidden dangers in transmission and OPGW lines. This paper also compares the performance of the traditional and improved algorithms, and explores the practical application effect of the constructed model in depth. The experimental results show that the enhanced Faster-R-CNN algorithm significantly improves the correctness of observation in the sky and land regions, with an average accuracy mean value of about 26%, especially when observing field villages, factories, playgrounds, urban areas and swimming pools. Therefore, the improved algorithm proposed in this study effectively enhances the detection capability and accuracy of hidden safety hazards in transmission and OPGW lines.
Research on the Interaction Design of Urban Public Environmental Facilities under the Background of Digital Intelligence
Authors: Wei Liang
Published: February 2024

With the in-depth development of data intelligence, the design of public environmental facilities has gone beyond mere aesthetics and practicality, and is moving towards a deeper integration with interaction design. This paper addresses this trend, discusses the strategies and principles of interaction design for public environmental facilities, and proposes an innovative single-facility siting problem model (MP) and multi-facility siting problem model (MWP). The article solves and analyzes the optimal siting problems in these models using the advanced new projection contraction algorithm (PC). To practically test the effectiveness of these designs, two sets of empirical experiments are conducted to explore them in depth. The results show that the optimized interaction design of the public facilities substantially increased the frequency of users, especially in the period from 15:00 to 15:10 on rest days, the number of users was as high as 43, of which the highest number of users was 46, mainly among the middle-aged and elderly people, especially the middle-aged group. In addition, this interaction design is excellent in satisfying people’s necessary, spontaneous, and social activities, with satisfaction levels of 0.78, 0.71, and 0.62, respectively. The interaction design strategy proposed in this paper effectively enhances the efficiency of the use of the public facilities and profoundly satisfies the users’ daily needs.
Research on the artistic aesthetic value of violin performance under the integration of information technology
Authors: Du Pan
Published: February 2024

This study utilizes the ERP model of aesthetic cognition to reveal the neural basis of aesthetic experience, pointing out the complex cognitive processes including emotional escalation. Advanced techniques are used to pre-process violin sound signals and multiple algorithms are applied to extract critical features for accurate emotion recognition. The developed DBM-LSTM model combines the advantages of multi-layer stacked RBM and LSTM, which substantially improves emotion recognition accuracy with a success rate of more than 0.85. Finally, through a questionnaire survey, it is found that the public’s aesthetic preference of violin performance is significantly correlated with emotion perception, indicating that the more the performance conforms to the public’s aesthetics, the more it can stimulate positive emotions. This study not only provides theoretical and practical guidance on the combination of violin performance art and information technology, but also opens up a new way for the emotional communication of artistic performances and enhancing public aesthetic experience.
Innovation of Civics Teaching Mode and Informatization Teaching in Colleges and Universities Based on Knowledge Mapping System
Authors: Li Jie
Published: February 2024

This paper discusses the construction and application of the knowledge map of the Civics curriculum. Firstly, the courses’ ontology concept and hierarchical relationship are identified, and their attributes and relationships are defined. Then, BiLSTM-CRF model was used to extract the Civics entities, and relevant data were obtained from websites using crawler technology and regular expressions. The keyword screening technique was used to ensure the Civic politics relevance of the data. The data storage adopts RDF triples and Neo4j graph database to construct a visualization system for Civics teaching. The experimental results show that the BiLSTM-CRF model performs well in extracting Civics entities, mainly in specialized knowledge, and achieves high accuracy. The study effectively improves the efficiency and quality of Civics learning through knowledge mapping and visualization techniques.
Suggestions for Promoting a Better Public Service System under the Low Fertility Dilemma Based on VAR Modeling
Authors: Liu Xiuqing , Xu Lixin , Chen Weiwei , Wu Qingshan
Published: February 2024

This paper provides an in-depth analysis of the rapid decline in fertility and population aging. Using LASSO penalized Poisson regression and TVP-VAR model improved by MCMC algorithm based on Bayesian network, the factors affecting the fertility level and their interrelationships are studied. It is found that fertility and education levels affect each other with probabilities of 0.0806 and 0.0825 respectively at 10% significance level. The positive shock of social security level on fertility level increases the response value of fertility level from −1.5 to about 7.5 in 10 lags, showing a positive effect. In contrast, the response of fertility level to house prices gradually decreases from 5 in period 1 to −2.5 in period 10, indicating a negative impact. These analyses provide a scientific basis for constructing a public service fertility support system that can help mitigate the current challenges of low fertility levels.
Harnessing GPT-2 for Feature Extraction in Malware Detection: A Novel Approach to Cybersecurity
Authors: Basharat Mahmoud , Omar Marwan
Published: February 2024

In the rapidly advancing digital age, the surge in malware complexity presents a formidable challenge to cybersecurity efforts, rendering traditional signature-based detection methods increasingly obsolete. These methods struggle to keep pace with the swift evolution of malware, particularly with the emergence of polymorphic and metamorphic variants designed to bypass conventional detection. This study introduces a groundbreaking approach to malware detection by utilizing GPT-2, a cutting-edge language model developed by OpenAI, specifically for the purpose of feature extraction. By applying GPT-2’s deep learning capabilities to the EMBER and Drebin datasets, this research explores the model’s effectiveness in identifying malware through the intricate patterns present in binary data. Contrary to its original design for natural language processing, GPT-2’s application in this context demonstrates a significant potential for enhancing malware detection strategies. The model’s proficiency in extracting complex features from binary sequences marks a notable advancement over traditional methods, providing a more adaptive and robust mechanism for identifying malicious software. However, the study also acknowledges the challenges associated with the interpretability of deep learning models and their susceptibility to adversarial attacks, underscoring the imperative for ongoing innovation in the field of cybersecurity. This exploration into the unconventional use of GPT-2 for feature extraction in malware detection not only showcases the model’s versatility beyond language tasks but also sets a new precedent for the application of unsupervised learning models in enhancing cybersecurity defenses.
The emergence of Design Thinking from Design Science to a Business Paradigm through the lens of Bibliometric Review
Authors: Khurana Reema , Gupta Rakesh
Published: February 2024

This study evaluates the current knowledge base of research on Design Thinking (DT) by conducting a bibliometric and network analysis of 986 scientific documents gathered from the Scopus database from 1992- 2021. The results reveal, inter alia, publication trends, identify influential documents, productive authors, journals, institutions, countries working and collaborating in the field of DT and the potential future research opportunities. Co-occurrence of Keywords and PageRank analysis was performed and relevant clusters emerging out of this analysis were described. The study maps the existing literature available and examines key research trends and theoretical underpinnings of this emerging discipline. Finally, the study provides detailed recommendations about the topics that need to be probed in detail in future research to advance a better understanding of this field.