bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design of Intelligent Security System for Higher Vocational Colleges Based on Internet of Things
Authors: Wei Ying , Tao Weijiang , Lei Junjie 
Published: April 2024

Abstract
The increase in Internet of Things (IoT) technologies for security in higher vocational institutions provides new solutions to enhance campus security. The challenges faced by campus security management include break-ins, emergency response, and environmental monitoring. Effective security system design can improve the ability to deal with these challenges and ensure the safety and comfort of students and faculty. In this study, an intelligent security system based on IoT technology is designed to realize dynamic management and real-time response to campus security by integrating advanced face recognition, environmental monitoring and data analysis technologies, thus improving campus security and management efficiency. Haar feature recognition, face detection optimized by Adaboost algorithm, and ecological monitoring technologies are some of the technological approaches introduced in the study. The system design integrates multiple aspects such as video surveillance, environmental parameter monitoring, and data analysis to build an efficient and reliable security monitoring system. In this paper, the system can monitor the campus security situation in real time, the face recognition accuracy rate reaches 95%, and the illegal intrusion detection time is reduced to within 2 seconds, effectively improving the response speed and accuracy of campus security management. This study proves the effectiveness and feasibility of IoT technology in designing campus intelligent security systems, which is of great significance to improve campus security management.
Student Sentiment Analysis and Classroom Feedback Prediction Using Deep Learning
Authors: Wang Peisong 
Published: April 2024

Abstract
The application of deep learning is becoming a research hotspot in education, especially in student sentiment analysis and classroom feedback prediction. Accurate sentiment analysis can help teachers understand their students’ learning status and improve their teaching effectiveness. In this study, we explored students’ emotional changes in different teaching environments through face detection technology and facial expression recognition. We predicted their feedback on classroom content, which optimized the teaching methods and enhanced students’ learning experience. The research methodology includes using the MTCNN face detection algorithm to locate students’ faces and analyzing facial expressions to recognize their emotional states through an improved deep learning model. In this study, the method was able to identify primary emotional states of students, including happiness, sadness, and surprise, with an accuracy of 85%. After analyzing the link between students’ emotions and classroom engagement, the study discovered that students’ positive emotional states were positively associated with high levels of classroom engagement. Student sentiment analysis is used to propose a classroom feedback prediction model that can predict student feedback on classroom content with 72% accuracy in this study. This paper utilizes deep learning to analyze student sentiment and predict classroom feedback, which improves teaching effectiveness and enhances students’ learning experience.
Impact of digital transformation on global services trade flows
Authors: Zhang Zhe 
Published: April 2024

Abstract
Globalization paired with rapid technological advancements has transformed the landscape of the services trade, positioning digital transformation as a critical determinant of trade flows. This analysis delves into how digital transformation influences global services trade flows, establishing a model to examine the dynamics between exports and imports. Through empirical analysis using cross-country panel data, the study reveals a positive correlation between digitalization and the activities of exporting and importing services. Notably, the escalation in digitalization level markedly boosts exports in telecommunication, information technology, and other business sectors. Factoring in controls such as exchange rates and trade efficiency, the findings highlight digital transformation’s role in elevating the growth rate of global services trade exports by 5.82%, especially pronounced in telecommunication and information services sectors. The study advocates for enhanced investment in digital infrastructure and policy innovation to minimize trade barriers and optimize global services trade flows.
A Music Teaching Model Combining Deep Learning in the Perspective of Ecological Aesthetic Education: The Integration of Traditional Music Culture
Authors: Shen Yuanyuan 
Published: April 2024

Abstract
In the contemporary educational environment, the protection and inheritance of traditional music culture faces challenges. The current diverse needs of music education urgently require innovative teaching models to integrate traditional music culture and enhance students’ aesthetic and cultural literacy. The eco-beauty perspective provides a new educational idea that emphasizes the harmonious coexistence with nature and promotes all-around development of students. Combining traditional music culture and modern education technology effectively can be achieved by combining deep learning technology and new paths in music education. This study explores the music teaching model that integrates traditional music culture with deep learning technology, under the perspective of ecological aesthetic education. The study utilizes a mixed methodology, combines quantitative and qualitative Analysis, and compares the experimental design to verify the effectiveness of the teaching model. In this paper, implementing the music teaching model under the perspective of ecological aesthetic education has improved students’ performance in music perception ability, music emotion expression, music composition and performance, and music knowledge theory. The average increase in music perception ability of the experimental class students is 5.18 points, and the average increase in music composition and performance ability is 11.57 points, showing the impact of this teaching mode on the overall improvement of students’ music ability. In this paper, the music teaching mode combining deep learning under the perspective of ecological aesthetic education can effectively integrate traditional music culture, promote the improvement of students’ music literacy, and provide a new teaching strategy for the inheritance and development of traditional music culture.
Research on the Utilization of Sichuan and Chongqing Red Cultural Symbols in the Creation of Chinese Paintings in the Background of Internet
Authors: Tang Qinghua 
Published: April 2024

Abstract
As an essential part of China’s revolutionary history and culture in the current Internet era, applying the symbols of Sichuan and Chongqing red culture in creating Chinese paintings has received increasing attention. The creation of modern Chinese paintings is inspired by the rich historical and cultural values carried by this cultural symbol. By studying the use of Sichuan and Chongqing red cultural symbols in Chinese painting, we can deepen our understanding of the communicative efficacy of the cultural symbols, and provide theoretical support and practical guidance to promote the innovative development of Chinese painting. This study thoroughly analyzes the connotations of the red cultural symbols in Sichuan and Chongqing and their application in creating Chinese paintings. In this paper, the Sichuan and Chongqing red cultural symbols enhance Chinese paintings’ cultural connotation and expressive power. Through the Analysis of 2,000 works, the average audience evaluation score of the works using the Sichuan and Chongqing red cultural symbols is 20% higher than those that do not use them. The effective integration of Sichuan and Chongqing red cultural symbols in this study enriches the expression of Chinese painting, promotes the integration of traditional and modern culture, and provides a new path for the innovative development of Chinese painting.
Biotechnological for improving maize grain storage tolerance: progress and prospects
Authors: Lv Jing 
Published: April 2024

Abstract
Multi-omics technology integrates gene, protein, and metabolic information to construct comprehensive gene regulatory networks. This approach aligns with the complex nature of maize storage, characterized by its multi-component, multi-target, and multi-pathway processes. This technology offers a holistic view for exploring nutritional changes during maize storage, addressing the challenges of high costs and inefficiency in grain storage. Despite the potential of multi-omics, current research primarily focuses on the fundamental physical and chemical changes during storage, with limited application of omics technologies to understand the underlying quality change mechanisms. This paper reviews advancements in genomics, transcriptomics, proteomics, and metabolomics, and their application to maize storage. It highlights the challenges in maize storage research and underscores the potential of multi-omics to revolutionize this field. By leveraging existing research, we propose a feasible technical route for applying multi-omics to maize storage, aiming to innovate and stimulate omics research in grain storage and establish effective, green, and safe storage strategies.
Research on end-to-end secure rerouting and switching protocols for multi-domain communication in wireless LANs
Authors: Feng Shuo 
Published: April 2024

Abstract
In response to the escalating demands of wireless local area network (WLAN) users for enhanced network transmission quality, this study explores the optimization of a multi-domain communication system within WLANs. By applying cross-layer technology, we optimize WLAN routing protocols and address end security issues through re-routing and handshake protocol-based solutions. Empirical analysis reveals that our multi-domain communication system outperforms traditional systems, with a 0.28s reduction in delay, a 3.6% to 4.5% decrease in transmit channel utilization, a 2.7% to 3.3% reduction in receive channel utilization, and a queue response time improvement of 0.05 to 0.072s. This research not only demonstrates the superiority of the WLAN multi-domain communication system and End Secure Interaction Protocol over conventional WLAN systems but also provides a viable approach to significantly enhancing WLAN quality.
Analysis of the application of optical illusion in the field of art and design
Authors: Yang Yin 
Published: April 2024

Abstract
This study ventures into the captivating realm of visual illusion art, where the enigmatic principles of visual perception are harnessed to enhance artistic creativity. Through mathematical modeling of the visual perception process, we uncover the essence of visual illusions and their profound impact on art and design. Leveraging cellular neural networks, this research merges dynamic processes with the WC visual illusion and color space models to craft a novel visual illusion neural network model adept at reproducing the nuances of visual illusion art. Our investigation into the application of visual illusions in art design reveals a notable affinity for the “transparent” quality, achieving a 57% certainty level and embodying the art’s ethereal nature. Furthermore, we identify significant correlations between interactive effects, color coordination, design structure, visual impact, and the overarching quality of art designs, with correlation indices of 0.508, 0.487, 0.535, and 0.602, respectively. This work highlights visual illusion’s pivotal role in propelling the field of art and design forward, thereby enriching the tapestry of human experience.
The design of university security intelligent management platform based on VR technology
Authors: Wang Zhenhua 
Published: April 2024

Abstract
This paper combines the actual situation of security management in colleges and universities, and analyzes the demand for security innovative management platform in colleges and universities to facilitate teachers and students to live happily and research in a comfortable and modernized campus. According to the different functionality, the innovative campus system can be divided into the 3D campus roaming navigation module based on VR technology, the intelligent attendance module based on the combination of convolutional neural network and face recognition, and the induced parking module based on ant colony algorithm. The structure of each module and the operation process are all described in detail. Simulation experiment analysis is used empirically to analyze the intelligent campus management platform. The results show that the method of this paper has an average pass rate of about 89.55% for a given number of vehicles, and compared with the pre-optimization period, the waiting time for parking has been reduced by 19.5%, with an optimization rate range of 72.37%. Even after the optimization of the method in this paper can not wholly avoid the parking wait, but it can reduce the parking wait time, which for the parking lot, can ease the parking congestion in the peak time. The theoretical guidance provided by this study is used to construct a more brilliant campus, promoting the development of security and intelligent management in colleges and universities.
Exploring the Teaching Mode of College Students’ Mental Health Education under Artificial Intelligence Technology Guided by Cognitive Behavioral Theory
Authors: You Xiaoyan , Zhang Qiyun 
Published: April 2024

Abstract
This study pioneers a mental health education model for college students, merging cognitive-behavioral theory with artificial intelligence (AI) technology. By employing mathematical statistics to analyze teaching variables, we establish regression equations that elucidate the relationship between cognitive-behavioral based mental health education and its impact on students’ psychological well-being and psychological capital. Our findings highlight the significant mediating roles of cognitive behavioral instruction on positive emotion regulation (0.161), subjective happiness (0.348), sadness and frustration management (0.412), and anger control (0.376), confirming the efficacy of this approach. The application of cognitive behavioral therapy (CBT) in student psychoeducation has shown promising results in improving cognitive abilities, reducing emotional disturbances, and enhancing cognitive functions, offering valuable insights for advancing mental health education in higher education institutions.
Curriculum Mode Setting and Teaching Development of “Party Building + Civic and Political Thinking” in Chinese Universities in the Era of Big Data
Authors: Yuan Xiaochen 
Published: April 2024

Abstract
This research delves into the critical evaluation of the “Party Building + Civic and Political” program within higher education, addressing the sector’s contemporary challenges and opportunities. By implementing the entropy value method and the efficacy function model, this Analysis spans an experimental cohort of 38 students from College J, scrutinizing their autonomous learning proficiency, educational outcomes, and the integrative impact of Party building on civic and political education. The empirical evidence showcases a substantial elevation in independent learning abilities among participants (with improvements ranging from 1.181 to 1.765, markedly surpassing the control group’s 0.257 to 0.563) and a remarkable increase in the coupling degree from 0.1542 in 2012 to 0.8186 in 2023. These results underscore the significant strides made in student learning and teaching quality through the “Party Building + Civic and Political” model, advocating its utility in enhancing the comprehensive capabilities of students and innovating higher education methodologies.
Applications and Challenges of Fieldbus Technology in Intelligent Manufacturing Systems
Authors: Zhang Li , Hu Xiaojing , Wu Baoyin 
Published: April 2024

Abstract
This study advances the field of intelligent manufacturing by integrating automation, information technology, and digitalization into a novel “five horizontal and three vertical” system architecture. We introduce an enhanced model-free adaptive control (MFAC) algorithm that utilizes a dynamic linearization method alongside pseudo-partial derivatives (PPD) for optimizing data transfer within intelligent manufacturing systems. Using CANoe software for simulation, our research demonstrates the improved MFAC algorithm’s superior bus message transmission efficiency by 0.0224 to 0.026 and a significant reduction in the network load factor by 0.2068. These advancements highlight the efficacy of fieldbus technology in reducing network congestion and enhancing real-time performance in intelligent manufacturing environments.
Digital Code as an Object Graphic Design for Dissemination and Promotion of Brand
Authors: Vorobchuk Maria , Pashkevych Kalina 
Published: April 2024

Summary
The article reveals the features of the graphic language of coded information by identifying, systematizing, and combining QR-codes and AR-codes at the present stage of graphic design development. The analysis of coded information in different types of graphic design is presented: advertising, environmental, motion, print, packaging, set prop, web, mobile app, art, and illustration graphic design. The role of a graphic designer in the development of digital codes of various types for various fields of application is described. It is proved that the coded information is a trigger between the online and offline worlds. The article also reveals the importance of using coded information for the formation, development, and improvement of the brand.
السياسة المالية ودورها في معالجة الأزمة المالية والأقتصادية في أقليم كوردستان العراق
Authors: Hasan Mohammed Muhsin , Sulaiman Al-saffar Ahmed , Aref Taher Merkhas 
Published: April 2024

يتناول البحث دور السياسة المالية في معالجة الأزمات الاقتصادية والمالية من خلال أدواتها المتمثلة في النفقات العامة والإيرادات العامة والموازنة العامة، متخذا من الأزمة الاقتصادية في أقليم كوردستان الممتدة من سنة 2014 ولحد الان (وخاصة بعد أزمة جائحة كورونا وما تبعتها من تباعد اجتماعي وانغلاقات جزئية وكلية للكثير من القطاعات والمنشات الاقتصادية في مختلف دول العالم والإنخفاض الهائل لأسعار النفط وبالتالي تعميق اكثر لهذه الأزمة في الأقليم) كحالة دراسية بهدف الوصول الى مقترح حول اعادة صياغة السياسة المالية لحكومة الأقليم باتجاه معالجة الأزمة الاقتصادية. وقد أستنتج البحث بأن هناك نطاق واسع لحكومة أقليم كردستان يمكن من خلاله إجراء إصلاحات مالية تتعلق بترشيد الإنفاق الحكومي و توجيهه بشكل اكثر نحو الجوانب الاستثمارية الداعمة للاقتصاد الكلي من جهة، و تنويع مصادر الإيرادات الحكومية من جهة اخرى، لتساهم بشكل فوري في التخفيف من شدة الأزمة المالية و كذلك لتجعل مالية الحكومة أقل عرضة لتقلبات أسعار النفط و المشاكل الاقتصادية الاخرى.
Mitral Annulus Pre-Systolic Excursion (MAPSE) Versus Modified Simpson’s Method for Ejection Fraction Estimation in Patients with Acute Coronary Syndrome
Authors: Baig Akif Ahamad , Betham Rajendra , Nathani Srikanth 
Published: April 2024

Objectives:
Evaluating left ventricle (LV) systolic function is pivotal in cardiac assessment, primarily relying on the left ventricular ejection fraction (LVEF) calculated through the modified Simpson’s method. However, challenges arise in accurately determining LVEF, especially in patients with acute coronary syndrome, where difficulty in visualizing the blood tissue interface can lead to inaccuracies. Mitral annular plane systolic excursion (MAPSE), which evaluates longitudinal function of LV has shown promise in detecting subtle myocardial abnormalities, particularly in patients with preserved ejection fraction (EF).

Materials and Methods:
The study included three groups of patients based on EF measurement using modified Simpson’s method: Group A with EF <50%, Group B with EF >50%, and Group C as healthy controls. In each group, MAPSE and EF derived from MAPSE formula were calculated: 4.8 × MAPSE (mm) + 5.8 in males, 4.2 × MAPSE (mm) + 2.0 in females. Statistical analyses were conducted to assess the agreement and potential differences between the two methods within each group.

Results:
The mean age of study population was 55.63 ± 9.21 years in Group A, 54.79 ± 9.82 years in Group B, and 55.10 ± 8.79 years in Group C. In Group A, mean EF measured through modified Simpson’s formula was 37.79 ± 5.38, whereas mean EF measured through MAPSE was 37.95 ± 5.32. There was no statistical difference among EF calculation through Simpson’s method or MAPSE method. (P = 0.8293). In Group B, Mean EF calculated through Simpson method was 56.24 ± 3.12 whereas with MAPSE method was 52.31 ± 4.26. There was found to be a statistical difference in EF calculation by both of this method in patients with EF>50% (P < 0.0001). In Group C, mean EF calculated through Simpson’s method was 64.23 ± 5.21 and through MAPSE was 64.99 ± 4.85, respectively. There was no statistical difference between this two methods in terms of EF calculation (P = 0.2812).

Conclusion:
EF assessment using the traditional modified Simpson’s method and MAPSE demonstrated a strong correlation in patients with EF <50% and controls. However, in patients with EF >50%, MAPSE revealed subendocardial dysfunction undetected by the Simpson method, highlighting MAPSE’s value in identifying subtle myocardial abnormalities.
Analysis Of People's Decisions To Choose Murabahah Financing Products Of Bank Syariah Pekanbaru City
Authors: Melina Ficha , Zulfa Marina , Putra Hardiansyah 
Published: April 2024

Pembiayaan merupakan solusi bagi seseorang untuk dapat memenuhi segala kebutuhan konsumtif dan kebutuhan ekonomi lainnya. Tujuan didirikannya lembaga keuangan syariah adalah untuk menerapkan prinsip-prinsip ekonomi syariah untuk keuangan, perbankan, dan transaksi terkait lainnya. Riba dilarang dalam banyak operasional, keuntungan hukum harus diperoleh ketika melakukan bisnis dan berjualan, memberikan zakat adalah prinsip utama bank syariah. Berdasarkan hasil penelitian penulis sebelumnya, dengan persentase 77,03% yang menunjukkan bahwa mereka memiliki pemahaman kuat yang memadai terhadap produk tersebut. Dari pemahaman masyarakat terhadap produk pembiayaan murabahah, penulis ingin mengetahui faktor-faktor yang mempengaruhi keputusan warga Kota Pekanbaru untuk memilih produk pembiayaan murabahah di bank syariah, sehingga penulis tertarik untuk menelaah lebih lanjut "Analisis Keputusan Masyarakat Memilih Produk Pembiayaan Murabahah Bank Syariah Kota Pekanbaru". Penelitian ini bertujuan untuk mengetahui apakah faktor pribadi dan psikologis mempengaruhi keputusan warga Kota Pekanbaru untuk memilih produk pembiayaan murabahah di bank syariah. Penelitian ini bersifat deskriptif kuantitatif dengan sampel sebanyak 100 orang dari Kota Pekanbaru. Hasil berbagai uji regresi menunjukkan bahwa variabel personal dan psikologis sama-sama mempengaruhi variabel yield sebesar 68,0%. Selain itu, besarnya pengaruh antara pribadi dan psikologis (pada saat yang sama) pada hasil terlihat pada 0,558. Demikian pula, variabel psikologis memiliki pengaruh signifikan sebesar 0,382.
Weak convergence of Hilbert-valued semimartingales to a stochastically continuous process with independent increments
Authors: Лаврентьев Виктор Владимирович 
Published: April 2024

В работе изучается слабая сходимость семимартингалов, принимающих значения в Гильбертовом пространстве, к произвольному стохастически непрерывному процессу с независимыми приращениями. Получены достаточные условия слабой сходимости таких семимартингалов к стохастически непрерывному семимартингалу с независимыми приращениями.
The paper studies the weak convergence of semimartingales taking values in Hilbert space to an arbitrary stochastically continuous process with independent increments. Sufficient conditions for the weak convergence of such semimartingales to a stochastically continuous semimartingale with independent increments are obtained.