bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Deep Learning-based English Vocabulary Teaching Aid System in Colleges and Universities
Authors: Chen Leilei , Yu Fangfang , Wu Jiqin
Published: April 2024

Currently, English teaching in colleges and universities faces the challenge of low efficiency in vocabulary teaching. Deep learning technology, an advanced artificial intelligence technology, provides new ideas for solving this problem. Constructing an efficient teaching aid system can achieve personalized vocabulary learning and significantly improve learning efficiency and effectiveness. Aiming to address the efficiency and effectiveness problems in English vocabulary teaching in colleges and universities, this study develops an English vocabulary teaching assistance system based on deep learning. Deep learning algorithms allow the system to analyze students’ learning habits and abilities and provide personalized vocabulary learning suggestions. The research constructs neural network models, uses big data to explore students’ learning behaviors, and develops an intelligent pushing mechanism. The system in this paper achieved face recognition accuracy of 81.08% and 98.84% on the FER and C.K. datasets, which verify the model’s effectiveness. Through the teaching experiments conducted on two classes in Y school in W city, the average score of the English vocabulary test of the class taught with this system increased from 75 to 93, significantly higher than that of the traditional teaching methods. This auxiliary system can improve the effectiveness and efficiency of English vocabulary learning, which also offers new technical support for English teaching in colleges and universities.
Analysis of Chinese Higher Calligraphy Education in the Context of Big Data Era
Authors: Fu Weigang
Published: April 2024

The development of modern digital technology provides a new way for the inheritance and innovation of the art of calligraphy. Digitization has dramatically enriched the dissemination carrier of calligraphy, enabling calligraphy education resources to be widely disseminated across physical boundaries, and realizing the personalization and intelligence of calligraphy education through the intelligent calligraphy cultural resources service model. The application of Digitization in higher calligraphy education analyzes the effective use of educational resources and promotes innovation in calligraphy education models through methods such as multi-layer linear regression. This study focuses on the digital dissemination of calligraphic educational resources, the intelligent calligraphic cultural resource service model, and the use of digital resources in higher calligraphic education. It has been found that teachers’ ability to apply digital resources is positively correlated with their academic qualifications. The educational background improves their application ability by 0.5 times. The study found a significant correlation between learning interaction activities and learning effectiveness by enhancing the random forest algorithm and analyzing students’ behavioral data. Higher calligraphy education should fully utilize big data technology to promote the digital transformation of educational resources and meet the needs of calligraphy education in the new era.
Analysis of the enhancement of computer simulation on physical education teaching in colleges and universities
Authors: Hou Yuanyuan , Ouyang Bo
Published: April 2024

The integration of computer simulation and modeling into physical education represents a significant shift in teaching methodologies within higher education, prompted by the advancements of the digital era. This study scrutinizes the effectiveness of such technologies in augmenting student learning outcomes and pedagogical efficiency in PE courses. Through the application of virtual reality and precise movement modeling, the research contrasts the impacts of traditional teaching with those of computer-assisted simulations. Findings demonstrate that computer simulation significantly improves students’ physical fitness (by 15%) and skill proficiency (by 20%) and markedly increases their engagement with the subject matter. Additionally, the ability to practice in a simulated, hazard-free environment reduces the time required to master skills. These results support the broad implementation of simulation technologies in physical education, promising enhanced student motivation, skill development, and academic interest.
Exploring the Thinking Transformation and Development of Graphic Design in Mobile Digital Media
Authors: Huang Zheng
Published: April 2024

The transition of graphic design from traditional print to mobile digital media has revolutionized the technology and the creative process. This evolution demands designers adapt their strategies to meet the challenges of smaller screens and varied user behaviors. This study explores how graphic design has transformed the mobile digital era, emphasizing the shift towards user interaction and visual communication efficiency. An empirical analysis of hundreds of designs reveals that innovative design methods significantly outperform traditional ones, increasing user engagement and communication effectiveness by 30% and 50%, respectively. The findings underscore graphic designers’ need to evolve their thinking and methodologies, enhancing interactivity and visual appeal to thrive in the mobile digital landscape.
Combination of Efficient Informationized Music Teaching and Traditional Music Culture in the Internet Era
Authors: Li Yanhui
Published: April 2024

Music teaching in education is undergoing a profound change under the development of information technology. Integrating information technology not only enhances teaching efficiency, but also expands the reach of teaching resources. The challenge for educators is to combine the use of modern information technology with the preservation and promotion of traditional music culture. This study discusses how to effectively combine efficient informatization teaching methods with China’s rich traditional music culture in the Internet era, intending to provide new perspectives and strategies for the innovative development of music education. By comparing and analyzing the learning effectiveness of the experimental group (using informatized teaching methods) and the control group (using traditional teaching methods), the study shows that the experimental group’s average improvement rates in music comprehension, skill mastery, and creativity reached 20%, 30%, and 40%, respectively, which were higher than those of the control group. The combination of informatization teaching tools and strategies in this study can significantly improve students’ interest and effectiveness in learning traditional music culture, injecting new vitality into conventional music education.
Digital Twin Based Resource Optimization and Dynamic Decision Making in Air Terminal Yards
Authors: Qiu Yicheng
Published: April 2024

With the growth of globalized trade, the efficient operation of airports is crucial. In this paper, we study the use of digital twin technology to optimize the yard resources of airports, which can improve their operational efficiency and decision-making quality. The study first constructs a digital twin framework for intelligent yard scheduling, which contains physical and virtual space and the connection between them. Data is collected through the physical perception module, while the virtual space is used for real-time simulation and optimized decision-making. The research methodology includes mixed integer programming and adaptive immune cloning algorithms for optimizing yard resource allocation and box space allocation. The experimental results show that the method can effectively reduce the total transportation distance in the air terminal yard operation and improve operation efficiency. The experiments demonstrate an average improvement in operational efficiency of around 20% and a cost reduction of around 15%. It is concluded that digital twin technology has apparent advantages in allocating resources in air terminal yards, which can achieve efficient utilization of resources and dynamic optimization of decision-making.
Research on the synergistic evolution of tourism economy and urban ecological resilience based on coupling model in the context of ethnic arts
Authors: Wang Jiaxiang
Published: April 2024

This study delves into the crucial relationship between the tourism industry and urban ecological resilience in areas renowned for ethnic arts, highlighting the dual objectives of cultural promotion and environmental sustainability. We employ a coupled model that integrates multi-indicator group evaluation and entropy weight method to assess the synergy between tourism economic growth and urban ecological health in the M city cluster from 2009 to 2022. Findings reveal a notable improvement in their coupling coordination, with an average degree of 0.65, suggesting a mutually beneficial interaction. Analysis underlines urban ecological resilience—especially its resistance component—as the most robust, achieving a score of 0.54. The research identifies vital misalignments hindering their synergistic development and offers strategic recommendations for harmonization. This study enhances our understanding of balancing tourism development with ecological conservation, providing valuable insights for policymakers.
Design of Intelligent Security System for Higher Vocational Colleges Based on Internet of Things
Authors: Wei Ying , Tao Weijiang , Lei Junjie
Published: April 2024

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

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

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

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

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

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

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

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

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

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

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

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

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.
The Truth about Prescription Drug Abuse
Authors:   Ashkelon Academic College, Barg Jacob
Published: April 2024

Abuse of prescription medicines is defined as using them for purposes other than those for which they were intended or in a way that is not authorized by a medical expert. This can involve using the substance recreationally, receiving prescription medications from someone else, or taking larger quantities than advised.
Lower Seminal Oxytocin Levels have a Positive Association with Successful Intrauterine Insemination
Authors:   University Of South Carolina School Of Medicine Greenville, WE Roudebush
Published: April 2024

Oxytocin is a neuropeptide that is mostly recognized for its role in parturition and lactation. Oxytocin and its receptor are also present in the reproductive tracts of males and females and is understood to support sperm transport in both as well.
Color Image Compression Using Wavelet Compression and Zero-MeanCoding
Authors: Azeez Nassr , Al-Taie Inas
Published: April 2024

Thousands pictures require a very large amount of storage. So differenttechniques of digital image compression is used to reduce the storage requirementsfor these images. In this paper an adaptive compression method applied on colorimage. Firstly the color image is transformed to the RGB system, and then convertsthe color data to a luminance/chrominance color space (YIQ).The adaptivecompression method is applied on Y. The image may contain a uniform region andedge region; the uniform regions compress depending on zero-mean coding and theedge region compress depending on Daubechies wavelet transform, then returnedthe final image to RGB system. The proposed algorithms has many advantageswhich make it very efficient, these are, low bit rate, low computational complexity,fast processing and edge preservation with good reconstructed image quality.
Improving Spatial Resolution Of Satellite Image Using Data Fusion Method
Authors: Muhsin Israa , Mashee Foud
Published: April 2024

While many remote sensing and GIS applications require both the spatialresolution and spectral resolution be high, image fusion, or in other words, imagesharpening, is a useful technique. To date, numerous image fusion techniques havebeen developed to combine the clear geometric features of the panchromatic imageand the color information of the multispectral image. This paper compares theresults of four different pixel based fusion techniques, HLS, Broveytransformation,Gram–Schmidt and HSV techniques used to merge the ETM+multispectral image with (28.5 m)spatial resolution and panchromatic imagecaptured by SPOT satellite with (10m) spatial resolution, correlation coefficient ,root mean square error and peak signal to noise ratio criteria have been used toachieve the comparison among the using techniques
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.
The Effect of Uneven Metal Foam Distribution on Solar Compound Parabolic Trough Collector Receiver Thermal Performance
Authors: Farhan Israa S. , Mohammed Akeel A. , Al-Jethelah Manar S. M.
Published: April 2024

Solar energy is a key player among other renewable energies that reduce greenhouse gases and replace conventional fuel, i.e., to solve global warming and fossil fuel descending issues. However, the thermal solar systems’ performance should be enhanced to cope with intermittent solar radiation. Metal foam can be used as an enhancer in solar collectors’ receivers. However, metal foams are associated with pressure drop. To benefit from the metal foam as a thermal enhancer and overcome the pressure drop issue, the present study numerically and experimentally investigates a novel Compound Parabolic Solar Collector (CPC) receiver with innovative uneven metal foam inserts of varying thickness. Two pores per inch (PPI) Cu-foam inserts, PPI10 and PPI20, were tested. These inserts were strategically placed at three different positions along the receiver, with thicknesses of 3 cm, 2 cm, and 1 cm starting from the inlet side. In the experimental part, three tubular receivers were tested, empty, i.e., without metal foam, inserted with Cu-foam of PPI10, and inserted with Cu-foam of PPI20. The experiments were conducted from 09:00 AM to 04:00 PM. The investigation involved water volume flow rates from 0.2 to 0.6 l/min. The numerical part included solving the governing equations, i.e., mass, momentum, and energy conservation, simulating conditions similar to the experiments. The Brinckman model described the fluid flow through the metal foam. The thermal performance of the CPC system was evaluated using the Nusselt number (Nu), thermal efficiency, water bulk temperature, and water outlet-inlet temperature difference. Inserting Cu-foam of PPI20 resulted in the hourly maximum Nu and thermal efficiency compared to the empty and PPI10 cases. Experimentally, the hourly maximum Nu was 8.9, 8.4, and 7.9 for PPI20, PPI10, and empty receivers, respectively, at 0.6 l/min. The average thermal efficiency was 88.3, 85, and 81.9 for PPI20, PPI10, and empty receivers, respectively, at 0.6 l/min. As for the outlet-inlet water temperature difference, the highest values were at 0.2 l/min. Again, PPI20 recorded the best results, i.e., 23.3 K, 21.5 K, and 20.2 K for PPI20, PPI10, and empty cases, respectively.
Decision-Making for Project Delivery System in Construction Projects Based on SWARA-TOPSIS Methods
Authors: Ahmed Mohammed Neamah , Aswed Gafel Kareem , Mohammed Hussein Ali
Published: April 2024

The owner of construction projects often faces difficulty choosing the appropriate project delivery system. The construction project’s owner must choose a suitable project delivery system throughout the project's early decision-making stages. This choice greatly impacts the success of the project. This paper aims to construct a method for project delivery decisions. This method can provide a reference for the owner to select the proper project delivery system. This research described the factors affecting the decision about the project delivery method through a literature review. These factors were categorized into eight groups: scope, time, quality, cost, risk and relationships, owner organization, project characteristics, and external environmental factors. Then, a combined methodology of Stepwise Weight Assessment Ratio Analysis (SWARA) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) are proposed for project delivery system selection. The SWARA is used to determine the factors’ weights. The TOPSIS technique determines the rank of the alternatives proposed for the delivery system in the various categories. The results showed the most significant factors related to the cost with a weight of 0.335, and the design-build is the closest to the ideal solution and ranked first among the other suggested project delivery systems with a relative closeness of 0.829. This paper stipulates the basis for such a process of decision-making.
Efficient Removal of Heavy Metals from Crude Oil Using High Surface Area Adsorbent Media: Vanadium as a Case Study
Authors: Alhamd Salem J. K. , Manteghian Mehrdad , Abdulhameed Mohammed A. , Ibrahim Thekra A. , Jarmondi Karar D. S.
Published: April 2024

Vanadium, one of the heavy metals present in crude oil, harmfully affects the equipment of oil refineries and the quality of petroleum products. As a result, it is important to innovate effective methods for reducing or removing its concentration. This paper aims to study removing vanadium metal from Iraqi crude oil using activated carbon as an effective adsorbent material. Different experimental factors, i.e., the activated carbon dose, contact time, and agitation speed, were regulatory varied to evaluate their impact on vanadium adsorption efficiency. The outcomes revealed an exceptionally good efficacy of activated carbon to eliminate vanadium. The results exhibited that the maximum remediation was 86.33%, recorded at optimum factors, i.e., 0.5 g of activated carbon, 400 rpm of agitation speed, 75 °C temperature, and time of 400 minutes. According to these findings, activated carbon has a great ability to adsorb vanadium from crude oil. Thus, it can be considered a sustainable material for treating petroleum. Furthermore, this approach will help the refineries by reducing costs by eliminating the heavy metals that lead to corrosion or poisoning catalysts.
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.
About the Peak Age of Information in a Single-Channel Transmission Group Modeled by the $PH/PH/1/r/LCFS$ System with Inversion Discipline, Interruption Maintenance and Re-service of Applications
Authors: Гайдамака Юлия Васильевна , Матюшенко Сергей Иванович , Самуйлов Константин Евгеньевич
Published: April 2024

Данная статья продолжает цикл работ авторов, посвященных проблеме возраста информации (Age of Information, AoI) - метрики, используемой в информационных системах для количественной оценки «свежести» информации, доставляемой в центр управления от периферийных источников. В работе рассматривается двухузловая группа передачи информации, состоящая из узла-отправителя, узла-получателя и канала связи между ними. Процесс передачи информации моделируется посредством однолинейной системы обслуживания конечной емкости с распределениями фазового типа, которая в обозначениях Кендалла кодируется как $PH/PH/1/r$. При этом учитываются особые условия передачи, состоящие в том, что поступающий в систему пакет, минуя очередь, сразу отправляется на передачу, захватывая канал у предыдущего пакета, если тот не завершил передачу. Пакет, передача которого была прервана, перемещается на первое место в очереди и после освобождения канала заново осуществляет попытку передачи. Для данной системы получено выражение для преобразования Лапласа-Стилтьеса стационарной функции распределения пикового возраста информации и его среднего значения. Проведено численное исследование зависимости пикового возраста информации от загрузки системы. Корректность аналитических результатов проверена путем их сравнения с результатами имитационного моделирования.

This article continues the author's cycle of works devoted to the problem of the Age of Information (AoI), a metric used in information systems to quantify the ``freshness'' of information delivered to the control center from peripheral sources. The paper considers a two-node information transmission group consisting of a sender node, a recipient node and a communication channel between them. The information transfer process is modeled by means of a single-line finite capacity queuing system with phase-type distributions, which in Kendall's notation is encoded as $PH/PH/1/r$. This takes into account the special requirements of the transmission protocol, which consist in the fact that a packet entering the system, bypassing the queue, is immediately sent for transmission, capturing the channel from the previous packet if it has not completed transmission. The packet whose transmission was interrupted is moved to the first place in the queue and, after the channel is released, attempts transmission again. For this system, an expression is obtained for the Laplace-Stieltjes transformation of the stationary distribution function of the peak age of information and its average value. A numerical study of the dependence of the peak age of information on the system load was carried out. The correctness of the analytical results was verified by comparing them with the results of simulation modeling.
A Comprehensive Survey of Deep Learning and Its Applications in Advancing Artificial Intelligence
Authors:   Research Scholar (Reg.No:23111242282011) Department of Computer Applications & Research Centre Sarah Tucker College (Autonomous), affiliated to Manonmaniam Sundaranar University, Tirunelveli-627007 Tamilnadu, India, Sugil A.Jasmine
Published: April 2024

: Deep learning, a subset of machine learning, stands at the forefront of artificial intelligence, striving to bridge the gap to its ultimate goal. This paper employs summary and induction methodologies to research into the area of deep learning. It begins by surveying the global development and current landscape of deep learning. Next, it elucidates the structural principles, characteristics, and key models, including stacked auto encoders, deep belief networks, deep Boltzmann machines, and convolutional neural networks. Furthermore, it examines the latest advancements and applications of deep learning across diverse domains such as speech processing, computer vision, natural language processing, and medical diagnostics. Finally, the paper outlines the challenges and future research directions within the realm of deep learning
LEVERAGING DEEP LEARNING FOR ACCURATE RICE LEAF DISEASE RECOGNITION
Authors:   Assistant Professor, CSE, GITAM University, Hyderabad., Karampudi Dr Radha
Published: April 2024

: Imagine a Rice Field, seemingly healthy, yet harboring invisible foes. This paper delves into the world of crop disease detection for the Tan spot, Leaf blight, Sheath decay, Bacterial leaf rot, and False smut Dataset consists of 3546 images. The image segmentation is done by BIRCH clustering followed by GMM clustering; various texture features have been extracted through this. The classification is done using existing models such as VGG16, VGG19, RESNET50, and INCEPTION V3. After comparing various models and validation, the observation was made that VGG19 performs well compared to other models. The overall accuracy obtained for the VGG19 is 95.88.%. The achieved accuracy surpasses that of conventional backpropagation neural network models, indicating significant advancements in crop disease diagnosis. This study introduces a novel approach that opens avenues for future research in the field of deep learning for crop disease diagnosis.
CLOSED-DOMAIN QUESTION-ANSWERING SYSTEM FOR INDIAN LEGAL ACTS
Authors:   School of Computer & Systems Sciences Jawaharlal Nehru University                                                       New Delhi, India, Yadav Ankita
Published: April 2024

: In Today’s digital age, access to legal knowledge among students is crucial for fostering a well-informed citizenry. However, comprehending the intricacies of provisions of Indian Legal Acts, especially in a complex legal system like India’s, can be daunting, even for seasoned professionals, let alone for educational purposes among children. To bridge this gap and foster legal literacy from a young age, we introduced a PDF-based Closed-domain Question-Answering (CDQA) System for Indian Legal Acts. Our system simplifies educating students about provisions of Indian Legal Acts such as RTI(Right to Education), RTE(Right to Education), Anti-Dowry Act, etc. By leveraging natural language processing(NLP) techniques and machine learning algorithms, our system, powered by LangChain, enables users to pose questions in natural language related to Indian Legal Acts. LangChain represents a groundbreaking advancement in question-answer systems, harnessing the power of cutting-edge language models to provide accurate and comprehensive responses to user queries. Developed based on state-of-the-art NLP techniques, LangChain is a versatile and highly adaptable tool that offers a versatile solution with transformative potential across diverse industries, including education, healthcare, legal research, customer support, etc.