bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploring the moderating effect of organisational climate on organisational justice and employees’ commitment in selected Nigerian banking sectors
Authors: Misturat Olanrewaju, Kofoworola , Adenike Adeniji Anthonia
Published: October 2024

Organisations are currently facing challenges due to internationalization and fundamental shifts in industries worldwide. The Nigerian banking sector is experiencing exceptional difficulties and competitive forces such as the issue of managerial decisions, perceptions of inequality, unfair treatment and a poor connection between individuals and their work environment. As a result, this study aims to acquire improved knowledge of how organisational justice and climate variables influence employee engagement in this industry. This investigation took a descriptive research technique. There were 361 questionnaires issued but only 332 were returned. 91.97% of the questionnaires examined were returned which is considered satisfactory for this study. Descriptive statistics were analysed using Statistical Packages for the Social Sciences (SPSS) while inferential statistics were used to evaluate the generated hypothesis using SEM-PLS. The findings showed that organisational climate does not moderate the relationship between organisational justice and employees' commitment but organisational justice has a direct relationship with employees' commitment. It can be concluded that organisational climate does not moderate the relationship between organisational justice and employees' commitment. Organisational stakeholders should make informed choices and implement successful strategies to improve employee well-being and organisational outcomes by understanding the relationship between organisational justice and employees' commitment.
Evaluation of internship programs abroad at universities in Indonesia: A case study of Indonesian intern students in Japan
Authors: Haryanti Pitri , Suryadimulya Agus Suherman , Dienaputra Reiza , Nur Tajudin
Published: October 2024

The purpose of this study is to evaluate internship programs in Japan held by Japanese departments at universities in Indonesia as an implementation of the Indonesian Ministry of Education and Culture's policy on independent study on campuses in 2020, examining the students’ culture shock level and the difficulties they encountered during the internship program. This study used a mixed-methods approach with case studies. We used quantitative data to measure the students’ culture shock level, and qualitative data to uncover the difficulties they encountered. Data were collected through a questionnaire, and a semi-structured interview with 100 intern students took place. This research found that Indonesian intern students’ culture shock was at a moderate level and encountered difficulties due to language, job performance, Japanese work culture, negative local attitude toward intern students, and the intern's personalities such as low adaptability and lack of confidence. This study also found that all of the students at each level of culture shock faced difficulties in performing jobs because of their low Japanese ability and work culture differences, but student personalities and locals’s responses are the determinants of the student’s culture shock level. The implications of this study highlight the need for an evaluation of Japanese language and culture learning curricula and methods in Indonesia.
The implications of educational games on the development of children's intellectual abilities
Authors: Izat Meruyert , Kyyakbayeva Ulbossyn , Nurgaliyeva Saniya , Urinova Feruzakhon , Khallokova Maksudakhon
Published: October 2024

Educational games have emerged as powerful tools in contemporary pedagogy, leveraging interactive and engaging platforms to enhance children's intellectual abilities. This research explores the multifaceted implications of educational games on cognitive development focusing on critical thinking, problem-solving skills and knowledge retention among children. This study used a mixed-data collection strategy. The goal of this research was to determine the impact of developed educational game technology on improving children's intellectual abilities. The study included 43 participants. According to the study, children have an average level of intellectual development. In this regard, training preschool-aged children required modifications to the content, procedural and personal aspects of learning for children using educational game technology. The study's findings revealed that incorporating educational game technological advances into the process of training children improved their cognitive abilities. Teachers can improve their teaching strategies using the useful tools and materials provided by the study's findings on the usage of educational games to support children' intellectual development.  This research underscores the importance of integrating educational games into curricula to maximize their intellectual benefits and prepare children for future academic and life challenges.
Learning styles and regulation of task value in new university students
Authors: Sanchez-Dominguez Juan Pablo , Torres-Zapata Angel Esteban , Brito-Cruz Teresa del Jesus , López-Cisneros Manuel Antonio
Published: October 2024

International organizations’ analyses of Mexican students have shown that the nation's educational system is currently facing significant challenges in its ability to support the development of academic skills at all educational levels. Evaluations carried out by international organizations on Mexican students have revealed that the educational system in this country currently presents serious difficulties in effectively contributing to the development of academic skills at all educational levels. Models that consider learning styles and other factors that support academic performance such as intrinsic motivation, mastery goals, beliefs, control and Regulation of the Value of Tasks (RVT) have been developed since the last century to improve the skills of both high school and university students. A quantitative, non-experimental, cross-sectional, descriptive and correlational study was conducted to identify the relationship between Regulation of the Value of Tasks (RTV) and learning style (LS). RTV data collection used the motivated strategies for learning questionnaire while EA was assessed using the Honey-Alonso Learning Styles Questionnaire (CHAEA). The study involved 108 university students enrolled in a public institution located in southeastern Mexico. The results indicate a "very weak" relationship between SRL and the active, pragmatic and theoretical learning styles. According to the literature review conducted for this study, there are very few similar investigations making it difficult to compare the results with previous data. Further research is suggested to explore the relationship between these variables in other populations.
Advanced smart grid controller: a next-gen alternative to Fuzzy-logic for UPFC
Authors: Abderrahmani Abdesselam , Nasri Abdelfatah , Gasbaoui Brahim
Published: October 2024

A very valuable component of flexible AC transmission systems (FACTs) is the Unified Power Flow Controller (UPFC). By simultaneously regulating both active and reactive power on transmission lines, it maintains voltage stability on linked buses. This study devised a thorough control strategy for the Unitary Power Flow Controller (UPFC), combining traditional and artificial intelligence (AI)-based methods. To see how the system would react in different situations and how well artificial intelligence control worked compared to more traditional proportional-integral power control, we ran a lot of simulations. The study found that the control strategy based on artificial intelligence (AI) was better than the proportional-integral (PI) control at managing power flow, keeping the voltage stable, and responding to changes in the environment. The results of this study emphasize the capacity of artificial intelligence methods to improve the performance and stability of FACT components such as the UPFC. The research provides important insights into power system control and optimization, indicating that strategies based on artificial intelligence could greatly enhance power generation. In order to enhance the AI control strategy, future research should focus on its practical application in actual power systems.
A Comparative Analysis of Agriculture in Tropical and Temperate Climates
Authors: Pimentel Carlos
Published: October 2024

T he largest agricultural areas in the world are in North America, Euro-Asia, and Central South America. However, agriculture in tropical and temperate climates is very different, mainly because of the environmental conditions. Unlike in temperate climates, there are not four seasons in the tropics. The tropics have only two seasons, rainy and dry, with plants f lowering all year round because air temperatures are not too low in the winter, and crops can grow during this season; thus, some crops may have three cycles per year in the tropics. In most temperate climates, there is only one crop cycle per year due to low winter temperatures, but the yield can be the highest. The low temperatures of a temperate climate, below 0°C, allow soils to be shallow, with high organic matter content and fertility because soil microbial activity and lixiviation are arrested at such temperatures, and organic matter is less degraded than in tropical soils where soil microorganisms and lixiviation continue throughout the year. As a result, yields of major crops in temperate climates are the highest in the world, confirming the efficiency of temperate agriculture, even with only one crop cycle per year. On the other hand, in tropical climates, yields are lower, but crops can be grown several times a year, thus increasing the annual production.
Qualidade, nutrientes foliares e características morfológicas de mudas de sobrasil (Colubrina glandulosa Perkins) produzidas por semeadura direta e repicagem
Authors: Conceição Maria Eduarda Marques da , Oliveira Lorena Lacerda de , Oliveira Carlos Henrique Rodrigues de , Amaral Bruna Chaves , Zucolotto Mateus Zava , Angelos Jacyelli Sgranci , Oliveira Fabricia Benda de
Published: October 2024

O objetivo deste trabalho foi avaliar a qualidade e o crescimento morfológico das mudas de sobrasil (Colubrina glandulosa Perkins) sob o método de repicagem, em comparação com o semeio direto. O experimento foi realizado em uma casa de vegetação no Ifes - campus de Alegre, sendo estabelecidos dois tratamentos, 1 - semeio direto e 2 - repicagem. As mudas do tratamento 2 foram repicadas aos 30 dias após a germinação. As mudas produzidas por semeio direto e repicagem foram comparadas quanto suas características morfológicas, aéreas e radiculares, o índice de qualidade de Dickson, índice SPAD e nutrientes foliares. O experimento foi disposto em blocos casualizados (DBC), com 20 plantas para cada repetição e 3 repetições, totalizando 120 plantas. Todos os dados foram analisados pelo teste de variância (ANOVA) ao nível de 5% de significância. Mediantes os resultados encontrados, com poucas diferenças significativas para a maioria das características analisadas nos tratamentos, a repicagem se mostra uma alternativa viável para a produção de sobrasil, pois não compromete a qualidade das mudas, e ainda se aproveita todas as sementes germinadas e as plântulas que seriam descartadas no raleio.
Invention in Bergson's Integral Empiricism: Differential Matter and Integral Memory
Authors: Bagby John Robert
Published: October 2024

Bergson's integral empiricism is a philosophical approach that aims to harmonize the scientific study of nature with the experience of consciousness. Bergson drew heavily on the basic concepts of calculus in framing his philosophy of intuition. He did not merely use calculus metaphorically to describe processes and organizational patterns of consciousness. Instead, he studied the thought processes actually involved in calculus and showed that they are intimately connected to how we think about change more generally. I propose a distinction between derivative empiricism, i.e., reductionism, and integral empiricism that incorporates the study of the mind by the mind. The method involves the invention of a new kind of knowledge that is not based on generalization or abstraction but rather on the integration of experience. This is predicated on a study of the act of integration in consciousness that underpins our ability to think and do philosophy.
The Objectivity of Whitehead's Propositions: An Explication of the Truth-Relation
Authors: Snyder Benjamin E.
Published: October 2024

In this article, I argue, contrary to a noticeable trend in Whitehead scholarship, that in Whitehead's system propositions and their truth-values are objective in the sense that their own identities are independent of any particular subjects feeling or knowing them. This stance reinforces a core value of Whitehead's philosophy: his realism. As part of this argument, I examine Whitehead's analysis of an actual entity's determination and provide a more precise definition of what it means for a proposition to be true or false.
The Development Path of Livestreaming Influencers in the Context of New Trends
Authors: Lyu Shaofeng , Musa Rosidah , Ding Xuehui
Published: October 2024

In the context of rapid economic development, live banding is rapidly emerging as an emerging e-commerce model, but intensified competition in the industry, upgraded consumer demand and tightened regulatory policies have caused influencers to face many challenges. This paper analyses the current situation and problems of influencer live banding, pointing out the phenomena of false propaganda and uneven service quality. To cope with these problems, it is suggested to strengthen the education of regulations and improve the quality of influencers. Looking ahead, influencers should continue to learn, focus on personal branding, and innovate live content to achieve sustainable development. Promoting the standardization and professionalization of the industry will help meet the growing demand of consumers and create new development opportunities for the live streaming bandwagon industry. This article aims to provide reference and guidance for practitioners and promote the healthy and sustainable development of the industry.
Analysis on Innovation and Application of Anti-counterfeiting Technology of Printed Matter
Authors: Li Xiaomei , Shao Fuzhen , Chen Yuanyuan , Gao Xuemei , Li Hongwei
Published: October 2024

This paper deeply focuses on the innovation and application of printed matter anti-counterfeiting technology, through a variety of advanced anti-counterfeiting technology principle, characteristics and rich application examples to carry out a detailed study, a comprehensive and in-depth analysis of its protection of product safety, resolutely prevent counterfeiting and fully maintain market order and other aspects of the key and important role. At the same time, the future development trend of anti-counterfeiting technology and the current severe challenges are deeply discussed, aiming at providing a very valuable and meaningful reference for the in-depth research and practical operation in related fields.
The Value and Development Strategy of Guzheng Performing Arts
Authors: Zhang Surong
Published: October 2024

As one of the traditional Chinese musical instruments, the guzheng has a long history and rich musical connotation. From the perspective of the value and development of guzheng performing art, this paper firstly introduces the historical development of guzheng, its musical characteristics and its position in Chinese music culture, and then analyses the value of guzheng performing art in music aesthetics, cultural inheritance and social education. When discussing the current development of guzheng performing arts, the article points out the phenomena of the prosperous performance market, the improvement of the education system and the conflict between innovation and tradition. On this basis, the article puts forward a series of development strategies, including adhering to the combination of tradition and innovation, improving the quality of education, expanding the performance market and communication platform, and utilising modern technology. Finally, the article summarises the value and importance of the development of guzheng performing arts, and emphasises that in the context of the new era, opportunities should be seized to promote the prosperity of guzheng performing arts.
The Impact of Consumer Trust on Purchase Intentions in China
Authors: Liu Xinxin , Abbas Ali Prof Dr Dhakir
Published: October 2024

This paper aims to explore the impact of consumer trust on purchase intentions in the Chinese market. Consumer trust plays a critical role in purchasing decisions, especially in the complex and rapidly changing environment of China. This study first defines the core concept of consumer trust and constructs a theoretical framework linking trust with purchase intentions. By analyzing the unique cultural, market, and policy context of China, the research examines how these factors influence consumer trust and its impact on purchasing decision mechanisms. The paper further employs empirical research methods to analyze data on the relationship between consumer trust and purchase intentions and offers recommendations for businesses and policymakers. The findings indicate that consumer trust significantly affects purchase intentions, and enhancing consumer trust can effectively increase positive purchasing tendencies. Finally, the paper summarizes the main findings, discusses their theoretical and practical implications, and outlines directions for future research.
Artificial Intelligence in Education Management: Opportunities, Challenges, and Solutions
Authors: Feng Tong , Li Qinglun
Published: October 2024

Education management, as an integral part of management science, encompasses core functions such as organizing, planning, coordinating, and controlling educational resources, which closely align with the management concepts used in business administration. Whether in the field of education or business, managers need to improve organizational performance through effective strategy development, resource allocation, and decision-making support. The emergence of Artificial Intelligence (AI) has profoundly transformed several industries, and its impact on education is progressively gaining prominence.This paper explores the opportunities, challenges, and solutions associated with the integration of AI in the education sector. AI offers substantial benefits such as personalized learning experiences, automated educational management, and global access to shared educational resources, revolutionizing the traditional educational landscape. However, its application also presents significant challenges, including concerns over data privacy, the widening of the digital divide, and the evolving role of teachers.Through an analysis of both opportunities and challenges, this paper emphasizes the need for strategic measures to ensure the ethical and equitable use of AI in education. These measures include stronger policy frameworks for data protection, comprehensive teacher training programs for AI integration, and the promotion of global cooperation to bridge technological gaps in underdeveloped regions. Furthermore, the paper projects the potential future developments in AI-driven education, highlighting the importance of balancing technology with human interaction in the learning environment.By addressing both the benefits and risks associated with AI, this paper provides actionable insights for educators, policymakers, and technologists, aimed at creating a more inclusive, efficient, and innovative educational system. Future research should continue to examine AI's ethical implications and strive for solutions that ensure education remains accessible and fair in an increasingly AI-driven world.
Sentiment Analysis and Facial Expression Recognition in Customer Service Interactions
Authors: Hu Qinrui
Published: October 2024

In the evolving landscape of digital customer service, the need for advanced methods to accurately understand and respond to customer emotions has become critical. Traditional systems often rely solely on textual data, missing non-verbal cues that significantly contribute to the customer's emotional state. This study proposes a combined approach integrating Facial Expression Recognition (FER) and Natural Language Processing (NLP) to enhance emotion detection accuracy in customer service interactions. The FER component employs Convolutional Neural Networks (CNNs) to analyze facial expressions, while the NLP component uses Long Short-Term Memory (LSTM) networks to process textual data. This multimodal system aims to provide a comprehensive understanding of customer emotions by capturing both verbal and non-verbal cues. Experiments demonstrate that the integrated FER and NLP model significantly outperforms standalone models, achieving an accuracy of 92.3%, compared to 85.2% for FER-only and 87.4% for NLP-only models. The results highlight the benefits of a multimodal approach, showing substantial improvements in both training and validation performance. This study also compares the proposed model with other state-of-the-art models such as the Deep Learning Assisted Semantic Text Analysis (DLSTA) and Multimodal Emotion Recognition using Deep Belief Networks (DBN). While DLSTA achieves higher accuracy in text-based emotion detection, and DBNs provide robust emotion classification by integrating various modalities, our model effectively balances the strengths of both visual and textual data. The findings suggest that integrating FER and NLP can significantly enhance the quality of customer service by enabling more empathetic and effective interactions. Future work will focus on optimizing computational efficiency, addressing data variability, and ensuring adaptability across diverse customer service scenarios.
Risk Challenges and Regulatory Approaches in Fintech Data Application Regulation
Authors: Chen Pengfei
Published: October 2024

In the era of data capital, the combination of the traditional financial sector and emerging technological forces has forged a fintech industry with great potential. In the process of its prosperous development,ethical risks such as data ethical dilemma have arisen, and legal problems such as legislation, law enforcement, justice, and law-abiding have appeared.How to solve the multi-dimensional challenges brought about by ethical and legal risks requires not only the participation of multi-party subjects to formulate the relevant industry ethical standards and legal system, and to strengthen the supervision of relevant ethical and legal risks, but also the deepening of the corresponding judicial remedial system, and the formation of a good and orderly social ethical and moral atmosphere and law-abiding.It is also necessary to deepen the corresponding judicial relief system, so as to form a good and orderly social ethical and moral atmosphere and law-abiding environment, and help the healthy development of fintech.
Evolución de las creencias sobre la enseñanza de los profesores de Química en un programa de formación docente
Authors: Trinidad Velasco Rufino , Reyes Cárdenas Flor de María
Published: October 2024

Introducción: las creencias y concepciones que los profesores tienen sobre la enseñanza y el aprendizaje definen en buena medida el enfoque (centrado en el estudiante o en el docente) de las actividades en el aula. En general, los profesores noveles cuentan con un enfoque centrado en el docente, por lo que los programas de formación docente (Profordems) son una buena oportunidad para apoyar el cambio del enfoque. Existen pocos estudios que documenten este cambio en profesores de bachillerato de ciencias naturales. ¿Cambian las creencias docentes a lo largo del Profordems inicial? Con esta pregunta en mente, se plantea como objetivo documentar las creencias sobre la enseñanza de profesores de Química de bachillerato al ingreso y al finalizar un programa de desarrollo profesional en maestría. Metodología: se realizó una investigación cualitativa y longitudinal usando el instrumento dibujo de un profesor de ciencias, para documentar la evolución de las creencias sobre la enseñanza que tienen profesores de cuatro generaciones en un Profordems. Resultados y discusión: se identificó que, después de participar en un Profordems en el que hacen énfasis en el área psicopedagógica compaginados con la práctica docente en química, la mayoría cambia su enfoque de enseñanza hacia una centralidad en el estudiante. Conclusión: los programas de formación de profesores son fundamentales para potenciar las habilidades docentes y reflexionar sobre el eje de su enseñanza y sus estrategias más frecuentes. Es importante destacar que, aunque muchos profesores en formación inicialmente adoptan un enfoque centrado en ellos mismos, después de la formación docente se experimenta un cambio hacia una orientación centrada en el estudiante.
FREQUENCY OF PIPERACILLIN/TAZOBACTAM RESISTANCE IN SPONTANEOUS BACTERIAL PERITONITIS PATIENTS
Authors: IBRAHIM M , ASLAM M , RAHMAN MU , RAHMAN SU , ZAMAN SU , KHALIL MUK
Published: October 2024

Spontaneous bacterial peritonitis (SBP) is a serious infection in patients with chronic liver disease, requiring prompt antibiotic therapy. Due to growing resistance to first-line antibiotics like ceftriaxone, piperacillin/tazobactam is often used as a second-line treatment. However, emerging resistance to piperacillin/tazobactam poses a significant clinical challenge. Identifying local resistance patterns is crucial for optimizing treatment, particularly in resource-limited settings like Peshawar, Pakistan. Objective: To determine the frequency of piperacillin/tazobactam resistance among patients with spontaneous bacterial peritonitis at a tertiary care hospital in Peshawar, Pakistan. Methods: This cross-sectional study was conducted over five months at Lady Reading Hospital, Peshawar from 18th April to 18th September. A total of 169 patients aged 16 to 75 years with SBP secondary to chronic liver disease were included using non-probability consecutive sampling. Demographic and clinical data were collected, and ascitic fluid samples were cultured to assess resistance to piperacillin/tazobactam. Data were analyzed using descriptive statistics and chi-square tests to examine associations. A p-value < 0.05 was considered statistically significant. Results: Piperacillin/tazobactam resistance was found in 9.5% (16/169) of SBP patients. Resistance was observed in 8.0% (7/88) of Escherichia coli isolates and 11.1% (9/81) of other bacterial isolates (p = 0.04). Resistance rates were slightly higher in the 46–75 age group (11.0%, 11/100) compared to the 16–45 age group (7.3%, 5/69). Male patients had a resistance rate of 10.2% (11/108), while female patients showed 8.2% (5/61). Conclusion: This study highlights significant resistance to piperacillin/tazobactam among SBP patients in Peshawar, particularly in non-E. coli bacteria. These findings underline the need for personalized antibiotic regimens and ongoing surveillance to address growing antimicrobial resistance in chronic liver disease patients.
SUSTAINABLE AQUACULTURE; ORGANIC INNOVATIONS FOR DISEASE PREVENTION AND HEALTH MANAGEMENT IN NILE TILAPIA (OREOCHROMIS NILOTICUS)
Authors: NASEER A , ZAFAR M , AZAM K , MUNEER A , ALI M , ATHER N , PARVEEN S , RIZWAN Z , YASIN N
Published: October 2024

Sustainable aquaculture has become imperative in guaranteeing the enduring prosperity of aquatic farming, specifically for the Nile tilapia (Oreochromis niloticus), one of the most extensively farmed fish species. This study examines organic developments in Nile tilapia farming focused on eco-friendly practices that reduce the use of artificial chemicals and antibiotics to avoid sickness and maintain health. Integrating natural probiotics, probiotics, and immunostimulants into fish meals is one of the most critical tactics for strengthening the immune system and boosting the resistance of Nile tilapia against parasitic, bacterial, and viral infections. By maintaining the fish's natural defenses and promoting intestinal health, these natural additions lessen the need for conventional antibiotics. Moreover, the employment of beneficial microorganisms and biofiltration systems are two sustainable water management strategies that are essential for limiting the spread of illness in aquaculture settings. By emphasizing water quality through natural filtration processes, organic pond systems create a more balanced environment, lowering stress levels and disease susceptibility. By minimizing nutrient run-off, organic feed formulations using plant-based components, essential oils, and herbal extracts improve fish health and reduce the environmental effects of aquaculture techniques. This analysis also assesses these organic systems' economic viability, emphasizing how cost-effective and scalable they are compared to conventional aquaculture techniques. The aquaculture sector may minimize ecological impact while increasing fish health, producing better results, and adding to global food security through sustainable methods in Nile tilapia cultivation. To further advance sustainable aquaculture in the future, more studies are required to maximize these advances under various environmental circumstances and tilapia strains.
ANGIOGRAPHIC PATTERNS AND CLINICAL OUTCOMES OF IN-STENT RESTENOSIS IN DIABETIC PATIENTS FOLLOWING PERCUTANEOUS CORONARY INTERVENTION: A RETROSPECTIVE ANALYSIS
Authors: DURRANI T , QADEER A , HUSSAIN I , KHAN KM , SETHI P , DURRANI H
Published: October 2024

In-stent restenosis (ISR) remains a significant complication after percutaneous coronary intervention (PCI), particularly in diabetic patients. Introducing drug-eluting stents (DES) has substantially reduced restenosis rates compared to bare-metal stents (BMS), yet diabetic patients continue to exhibit higher ISR rates due to their distinct vascular biology. Understanding the angiographic patterns and associated clinical outcomes of ISR in this population is crucial for optimizing treatment strategies. Objective: This study aims to evaluate the angiographic patterns of ISR in diabetic patients and compare the clinical outcomes of these patients to non-diabetic controls following PCI. Methods: A retrospective analysis was conducted on 1,452 patients who underwent coronary stenting and subsequent repeat angiography at a tertiary care centre between January 2021 and December 2023. The study population included 726 diabetic patients and 726 non-diabetic controls. Based on angiographic findings, ISR patterns were classified as focal, diffuse, proliferative, or occlusive. Clinical outcomes, including procedural success of repeat interventions and major adverse cardiovascular events (MACE) within 12 months, were compared between the two groups. Data were analysed using multivariate logistic regression to identify predictors of diffuse ISR patterns. Results: Diabetic patients exhibited significantly higher rates of diffuse ISR (46.3%) compared to nondiabetic patients (34.5%) (p<0.001). Focal ISR was more prevalent in non-diabetics (40.5% vs. 31.1%, p<0.001). Diabetic patients also had a higher incidence of MACE within 12 months (23.4% vs. 15.2%, p<0.001), with myocardial infarction being the most frequent event. Conclusion: Diffuse ISR is more common in diabetic patients and is associated with worse clinical outcomes compared to non-diabetic patients. These findings underscore the need for tailored interventions and close follow-up in diabetic patients post-PCI.
A Comprehensive Survey on AlexNet improvements and fusion techniques
Authors:   Dept. of Electrical Engineering, Benha Faculty of Engineering, Benha University, Benha, Egypt., Bahaa Bahaa ,   Dept. of Electrical Engineering, Benha Faculty of Engineering, Benha University, Benha, Egypt.,   Dept. of Electrical Engineering, Benha Faculty of Engineering, Benha University, Benha, Egypt, Selmy Ayman S. , Mohamed Wael A.
Published: October 2024

Machine- and deep-learning techniques have been used in numerous real-world applications. One of the famous deep-learning methodologies is the Deep Convolutional Neural Network. AlexNet is a well-known global deep convolutional neural network architecture. AlexNet significantly contributes to solving different classification problems in different applications based on deep learning. Therefore, it is necessary to continuously improve the model to enhance its performance. This survey study formally defined the AlexNet architecture, presented information on current improvement solutions, and reviewed applications based on AlexNet improvements. This work also presents a simple survey based on a fusion of AlexNet with different machine-learning techniques for recent research in biomedical applications. In the survey results for about 11 research papers for both improvement and fusion techniques of AlexNet, it was clear that the fusion was the superior one with 99.72, and the improved one was 99.7%. In the conclusion and discussion section, there was a comparison between the improved techniques and fusion techniques of AlexNet and a proposal for future work on AlexNet development.
Enhancing Object Detection and Classification Using White Shark Optimization with Deep Learning on Remote Sensing Images
Authors:   Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, 21589, Saudi Arabia, Reda Reda
Published: October 2024

Remote sensing (RS) object detection is extensively applied in the fields of civilian and military. The important role of remote sensing is to identify objects like planes, ships, harbours airports, etc., and then it can attain position information and object classification. It is of considerable importance to use RS images for observing the densely organized and directional objects namely ships and cars parked in harbours and parking areas. The object detection (OD) process involves object localization and classification. Due to its wide coverage and longer shooting distance, Remote sensing images (RSIs) have hundreds of smaller objects and dense scenes. Deep learning (DL), in particular convolution neural network (CNN), has revolutionized OD in different fields. CNN is devised to automatically learn the hierarchical representation of data, which makes them fit for feature extraction. Hence, the study proposes a new white shark optimizer with DL-based object detection and classification on RSI (WSODL-ODCRSI) method. The purpose of the WSODL-ODCRSI model is to classify and detect the presence of the objects in the RSI. To accomplish this, the WSODL-ODCRSI model uses a modified single-shot multi-box detector (MSSD) for the OD process. The next stage of OD is the object classification process, which takes place with the use of the Elman Neural Network (ENN) algorithm. The WSO algorithm is exploited as a parameter-tuning model for improving the object classification results of the ENN approach. The stimulated study of the WSODL-ODCRSI algorithm has been established on the benchmark data set and the outcomes underlined the promising performance of the WSODL-ODCRSI model on the object process of classification
Mystery and Foil A Study on Lises Other Image in The Brothers Karamazov
Authors: Li Fangyuan
Published: October 2024

In The Brothers Karamazov, Lise is a female supporting character whose narrative presence is relatively limited. However, as Alyoshas lover, Dostoevsky invests a great deal of emotion in this young woman, intentionally creating a character who is lovable. Yet, Lises character reflects a disciplinary influence of patriarchal discourse. Although her image presents an outward sense of rebellion and independence, she is further trapped in the mold of traditional discipline, embodying characteristics of the Other. Her attempts to break through the traditional female image and patriarchal order are not significant.
Evolution and future directions of Artificial Intelligence Generated Content (AIGC): A comprehensive review
Authors: Xu Yihan
Published: October 2024

Artificial Intelligence Generated Content (AIGC) has rapidly evolved, revolutionizing the creation of text, images, audio, and video content. Despite these advancements, research on the development process of AIGC technology remains scarce, necessitating a systematic discussion of its current state and future directions. So this paper delves into the significant advancements and foundational technologies driving AIGC, emphasizing the contributions of state-of-the-art models such as DALL-E 3 [1] and Sora [2]. We analyze the evolution of generative models from single-modal approaches to the current multimodal generative models. The paper further explores the application prospects of AIGC across various domains such as office work, art, education, and film, while addressing the existing limitations and challenges in the field. We propose potential improvement directions, including more efficient model architectures and enhanced multimodal capabilities. Emphasis is placed on the environmental impact of AIGC technologies and the need for sustainable practices. Our comprehensive review aims to provide researchers and professionals with a deeper understanding of AIGC, inspiring further exploration and innovation in this transformative domain.
CN-ViT- Visual Object Detection with VisionTransformer
Authors: Wang Chuan
Published: October 2024

Object detection has always been an important and challenging task in the field of computer vision. In recent years, Vision Transformers (ViT) have achieved remarkable results on image classification tasks, demonstrating its potential in vision tasks. In this paper, we propose CN-ViT, a novel Vision Transformer based visual object detection model.CN-ViT effectively improves the accuracy and robustness of object detection by combining the advantages of self-attention mechanism and convolutional neural network, and introducing the GCCA (Global Context Block and Coordinate Attention) module. In this paper, CN-ViT is evaluated on the Mini COCO standard dataset. The experimental results suggest that CN-ViT may outperform current mainstream object detection methods in terms of detection accuracy and speed. This study sheds light on the potential of Transformer architectures for complex visual tasks and offers valuable insights for future research in this area.
To What Extent Did the Chinese Banking Industry Affect Chinas Economic Growth in Past 50 Years?
Authors: Su Yutian
Published: October 2024

Currently, the Chinese economy is encountering a period of stagnation in its development. Sustaining the rapid growth rate of the economy has become a challenge, as there is a lack of adequate momentum for continuous high-speed advancement. The nation is edging closer to the middle-income trap, and the conventional approach of relying on investment, exports, and consumption to propel economic growth is proving to be unattainable. It must be achieved through the transformation of economic structure, and the transformation of the financial industry is the most important part of it. The research question of this article is how commercial banks affect economic growth and how China's banking system has developed. The WTO's entrance into China has been a major catalyst for the banking industry and its system to be built. The literature review section delved deeply into economic growth, examining the concept of it, how it is achieved in China, as well as any factors that may influence it. More importantly, the study reviewed what the banking industry is and the development stages of China's banking industry. The banking industry's development was examined in the concluding part of the literature review, examining pertinent studies on the effect of economic expansion. In the discussion section of the research, we analyzed how the banking industry affects economic growth through its impact on capital allocation, banking services, and currency. Ultimately, we drew corresponding conclusions and proposed countermeasures and suggestions for the future development of the banking industry. Due to the fact that the industrial structure of developing countries is usually dominated by labor-intensive industries, clarifying the interrelationship between China's banking structure, capital allocation efficiency, and economic growth has universal significance and reference value for relevant financial arrangements in developing countries.
The Impact of Employee Satisfaction on Firm Profitability: A Focus on Employee Performance and Customer Satisfaction
Authors: Wu Hongjie
Published: October 2024

This thesis endeavors to conduct a comprehensive analysis of the correlation between employee satisfaction, employee performance, customer satisfaction, and firm profitability. In a contemporary business landscape where employee satisfaction is increasingly acknowledged as a pivotal determinant of organizational success, this study aims to elucidate the intricate dynamics governing this relationship. By meticulously scrutinizing existing research and empirical evidence, this research aims to shed light on how employee satisfaction influences employee performance, subsequently impacting customer satisfaction, and ultimately, firm profitability. In the swiftly evolving modern business milieu, grasping the profound implications of employee satisfaction has become an imperative for achieving sustainable growth. This investigation narrows its focus to dissect the intricate web of interactions that either propel or hinder an organization's journey towards profitability.
Through a meticulous analysis of empirical data and scholarly discourse, this study underscores the pivotal role of employee satisfaction in shaping workforce influencing customer perceptions, and, consequently, augmenting a company's financial well-being. As we navigate this exploration, it becomes increasingly evident that employee satisfaction constitutes a cornerstone of organizational prosperity.
To What Extent Does Blind Box Marketing Affect Peoples Consuming Behavior?
Authors: Ke Yanxin
Published: October 2024

Blind boxes, as an emerging industry, have gradually opened the Chinese market in recent years, and are sought after by consumers and various industries. It is a unique box that contains toys or other commodities, and people don't know what's inside until they open it. Meanwhile, continuous innovation has created a unique blind box marketing strategy, which uses consumers different motivations effectively to promote purchasing behavior. Based on the theory of consumer behavior and the strategy of blind box marketing +4p marketing theory (combined with AISAS model), this paper takes psychological motivation, demand motivation and investment motivation as intermediary paths to explore the impact on consumer purchasing behavior. Through the analysis of literature, questionnaire and tools such as SPSS25.0, the conclusions of relevant research are drawn: the effective combination of blind box marketing and product strategy can have a significant positive impact on consumers' purchasing behavior. The tremendous positive impact of price strategy on consumers' purchasing behavior is based on the consideration of different age groups. Place strategy and promotion strategy can only serve as the intermediary path between consumers' purchasing behavior, but cannot have a significant positive impact on them. Finally, through the above research, some suggestions for blind box marketing are provided.
To What Extent Are Taxes on Cigarettes Effective and How Does the Impact of These Taxes Affect Across Income Groups?
Authors: Peng Qingying
Published: October 2024

In this project, it will analyze the effectiveness of cigarette taxes and their impact on consumers of different income levels. The nature of cigarettes and the factors that determine the effectiveness of cigarette taxes will be considered, as well as the risks that cigarettes and cigarette taxes will bring. In particular, it will explore how consumers of lower and higher income, are impacted differently. In academic literature there is significant debate over the effectiveness or cigarette taxes. This paper will contribute to this debate by considering the impact of cigarette taxes on smokers of different income level from their perspectives. In this study, my goal is to demonstrate the effectiveness of cigarette taxes varies across income groups. Specifically, this paper will investigate the economic rationale for cigarette taxes, how the impact of these taxes varies across income groups, and the causes of this variation in effectiveness. The rest for this paper will be organized as follows. The introduction will present the background and importance related to this paper. The literature review will survey the current debate on cigarette tax effectiveness and will summarize the evidence. The discussion section will: explain why cigarettes need to be taxed, study the price elasticity of cigarettes and how this determines the impact of the tax on smoking level, and discuss how high- income and low-income groups are affected by cigarette taxes, differently. The conclusion will summarize the research findings and outline areas for future work.
What Are the Differences of Luxury Goods Purchasing Behaviors of Hetero- Geneous Consumer Groups?
Authors: Xin Chengxuan
Published: October 2024

In today's world, many scholars have begun to research the different benefits that luxury goods bring to society. Although luxury goods research-only appeared in the last hundred years, it has an absolute voice in today's trend circle and even involves other industries. However, few people have researched the impact of different people's characteristics on luxury consumption, so I choose to research the difference in luxury purchase behaviors among heterogeneous groups. I believe this research will provide a clear picture of how this difference arises and what the implications are. This research provides empirical evidence for the differences of the luxury goods purchasing from heterogeneous consumer groups. This model could be applied to empirical studies of Economics and Sociology. In practice, the empirical findings from some surveys, data research and some expertise provide convincing evidence for the reliability of the model. It can be used that people with different characteristics have different purposes when acquiring luxury goods. Although there are some limitations in the current study, the findings could give researchers and practitioners suggestions to the impact of population heterogeneity on luxury purchases. Specifically, this study demon st-rates that gender, age, personal or family income, job content and local development level will all influence people's different opinions on luxury brands, so they have different purposes for using luxury goods in China.