Traditional Style Research Articles

Smart leader di era revolusi industri 4.0

Significant transformations have taken place with regards to the way products are produced thanks to manufacturing digitization. This transition is so convincing that it is called Industry 4.0 to represent the fourth revolution that has taken place in manufacturing. From the first industrial revolution (mechanization through hydro and steam power) to mass production and assembly lines using electricity in the second revolution, the fourth industrial revolution will take what started in the third with the adoption of computers and automation and enhance it with intelligent and autonomous systems driven by data and machine learning. The research aims to address leadership styles that are influenced by rapid technological developments by changing traditional leadership styles to digital leadership. A smart leader has the ability to inspire his employees to innovate and defend ideas. An acumen in implementing smart leadership benchmarks demonstrates a fast, cross-hierarchical, cooperative, and team-oriented approach that integrates innovation frequently. 

A Study on the Traditional Culture and Family Style Ideological and Political Education of Young Doctors in the New Era

The key and essence of ideological and political education lies in integrating theory with practice, leaving the classroom and campus, and integrating into social life. This article elaborates on how to strengthen the family culture and excellent traditional cultural curriculum ideological and political construction of young doctors under the new situation, thereby promoting the internalization of medical ethics and medical ethics into the spiritual pursuit of young doctors, promoting the harmonious relationship between doctors and patients in the new era, exploring and utilizing various resources contained in ideological and political courses to carry out curriculum ideological and political work, and providing a summary of practical experience for young doctors in China to strengthen traditional culture and family culture cultivation.

Influences of parenting styles on perceptions of high-freedom-threatening language in anti-drug messages in Hong Kong

ABSTRACT This paper considers the notion derived from psychological reactance theory that Asian audiences, Chinese in particular, have a less negative attitude towards high-freedom-threatening (HT) messages owing to their collectivistic culture that places less value on individual freedom. The attitudes of 48 participants studying at a local university in Hong Kong towards HT messages in anti-drug campaigns revealed clear preferences for HT messages. Our findings highlight that such a positive attitude cannot be explained solely by collectivistic values of freedom. Instead, we found the influence of traditional Chinese parenting styles experienced during childhood as a potential origin of such perceptions. These findings emphasise the need for a nuanced understanding of the factors shaping attitudes towards HT messages in Asian contexts and the development of more effective anti-drug messaging strategies tailored to the preferences and cultural backgrounds of the target audiences.

An Appreciation of the First Movement of Mozart’s Piano Sonata in D Major, KV.576

The most outstanding and influential composer of the Viennese classical school is Mozart, and the Piano Sonata in D Major (KV.576) is Mozart's last sonata, written in 1789. This paper will mainly focus on the first movement of KV.576, analysing it in detail from the compositional background, the period background, the performance technique, and the perception of the performance. KV.576 achieves balance and harmony by contrasting composition, theme, and texture. Instead of following the traditional style, Mozart's music reinterprets the new music with the vocabulary of the time to realize the aesthetic ideal of classical music.

Research on the Generative Mechanism of Intelligent Reconstruction for the Integration of Traditional Paper-cutting Art Symbols and Modern Pattern Designs

Abstract In the realm of Chinese traditional arts, paper-cutting symbols embody deep-seated aesthetic and cultural values. Within the framework of artificial intelligence, the fusion of these conventional symbols with contemporary pattern design through intelligent reconstruction processes promotes innovation in modern design. This paper introduces a novel pattern feature extraction algorithm specifically designed for identifying and extracting the essence of traditional paper-cutting art. Utilizing Deep Convolutional Generative Adversarial Networks (DCGAN), an automated method for generating woven patterns is developed, integrating conventional motifs with modern design elements. Additionally, a segmentation model based on DeepLabV3+ semantics is constructed to facilitate this integration. The study focuses on the fusion of traditional paper-cutting symbols with fabric patterns, providing a new direction for textile design research. The empirical evaluation involved seven experimenters who predominantly favored patterns that blended abstract and traditional styles, with the average style rating exceeding 3.2. Moreover, the color performance analysis of the reconstructed fabric patterns across five regions showed color difference values greater than 4, indicating superior color fidelity. These findings underscore the potential of combining AI-driven techniques with traditional art forms to enhance and revolutionize modern design practices.

Quantum Information Technology Facilitates Innovative Research on Traditional Painting Art Styles

Quantum Information Technology Facilitates Innovative Research on Traditional Painting Art Styles

A Review of Contemporary Perspectives Impact on Leadership Styles on Job Satisfaction: A Comparative Analysis of Traditional and Modern Leadership Styles

A Review of Contemporary Perspectives Impact on Leadership Styles on Job Satisfaction: A Comparative Analysis of Traditional and Modern Leadership Styles

Exploring the Intersection of Biological and Artificial Neural Networks in Architectural Contexts, Followed by Investigation of Algorithms Supporting the Evolution of the Design Process

This review explores the relationship between neural networks and architecture, specifically in the domains of facade design, interior design, and building construction. It investigates two types of neural networks: biological, representing the human brain’s neural system, and artificial, which are computational systems inspired by the brain’s structure and functions. The study provides a descriptive overview of these neural networks and their applications across various fields. It further examines how these networks integrate with architecture at different levels. The study emphasizes the concept of “neural architecture,” which combines artificial neural networks (ANNs) with architecture to generate multiple design possibilities and uncover hidden patterns. ANNs are utilized in creating smart buildings and optimizing structural design processes to reduce costs. Additionally, the study explores “neuroarchitecture,” which explores the interaction of biological neural networks (BNNs) with architecture, focusing on the impact of built environments on the brain and behavior. It combines principles from neuroscience, architecture, and environmental psychology. The analysis of case studies demonstrates the importance of AI tools such as ‘pix2pix’, GCNNs, DCGAN, CycleGAN, and StyleGAN in modernizing architectural design by blending traditional and contemporary styles and enhancing the creative process.

A post geographical vision of emergent micro cultural rural material world

<abstract> <p>This paper analyzes the emergence of micro-cultural material worlds in marginal rural areas of Spain from the viewpoint of postmodern rural cultural geography. The methodology is qualitative and geo-ethnographic, based on the study of three cases that suggest a renewed relevance of place as cultural capital in the production and consumption pattern of new or renovated rural materialities. The main conclusions suggest that two sides characterized the renovated houses: externally linked with traditional spirit and style of the area and internal with an individual and cosmopolitan design These represent a new dialectic similarity/difference.</p> </abstract>

Student success and experience in a flipped, senior physical chemistry course spanning before and after the COVID-19 pandemic

A flipped classroom is typically one where some of the instruction occurs asynchronously prior to the scheduled synchronous meeting between students and the instructor. Since 2000, they have gained substantial popularity especially in STEM fields where they have been shown to have increased exam scores and reduce the number of students who fail. In the university setting, many of these studies have been performed in lower division courses. Very few studies have been conducted in senior physical chemistry courses resulting in very little data being collected on this instructional technique at this level. The purpose of this study is to assess student outcomes when flipped classroom techniques are implemented in a senior physical chemistry course. In our flipped classroom, students were expected to watch lecture videos and complete preparation exercises created by the authors prior to coming to class. Then in class, a just in time teaching model was employed prior to students working in groups to complete activities created by the authors. Seven quizzes were performed individually and in groups while three midterms and a cumulative final exam were performed individually. Grade, student opinion questionnaires and survey data collected over seven semesters from Fall 2017 to Spring 2022 will be presented. Our findings indicate that there was only one semester out of seven where the average GPA of the students was significantly higher than the control class which was taught in a traditional lecture style. According to student surveys, the students focused on the importance of the preparation questions and dismissed the importance of completing activity/homework problems given that preparation activities were assigned credit while homework was not. Given that the in-class activities/homework questions resembled the material in assessments like quizzes, midterms and final exams, while preparation questions were scaffolded formative problems meant to introduce students to the concepts to be studied during the synchronous lecture, an important link between course concepts and material on summative assessments was not made. Future changes to address this issue will be discussed as well as how COVID-19 affected students during the pandemic as well as flipped classroom instruction.

Evaluating the effectiveness of machine learning models for detecting AI-generated art

Breakthroughs in technology mean the creation of new programs that can produce results startlingly close to human creations. AI-generated art, for example, has garnered attention and debate by redefining artistic creations, originality, and the ethics of artificial intelligence. By training on existing artwork, these programs can generate images startlingly close to the intended art style and topic and can fool the ordinary person. In this paper, we examine whether the type and style of the input image will impact the accuracy of existing AI-detection machine learning models. The first part of the hypothesis is that the existing models are more accurate in classifying whether an image is AI or human-created if the image is centered around human subjects rather than the environment. The second part of the hypothesis is that the models are more accurate in classifying realistic images compared to images in animation style and traditional mediums. The data show that current models are slightly better at classifying images of the environment, with 84.7% accuracy, compared to images of human characters, with 81.9% accuracy, which doesn’t support the first part of our hypothesis. However, most models have greater success with realism style than with traditional and animation styles, which supports the second part of our hypothesis. These results may serve as suggestions for further improvements in current models. With efficient machine learning models, artists and the general public can discern between AI and human-created art, which may help improve the regulation and usage of AI-generated art.

University Lecturers’ Experiences from the Classroom to a MOOC. Are they ready?

This article explores the experience of contributors to a MOOC designed mainly for students embarking on second-cycle Master’s degree courses. Following the COVID pandemic, university lecturers were forced to adapt their traditional courses and lecture style in order to continue teaching. This involved a sudden shift to video conferencing platforms and the transformation of the format of learning objects. Teaching staff rapidly had to become familiar with new technologies and teaching strategies. Although all educators in Higher Education had to develop these new skills, getting involved in creating asynchronous online courses was yet another step into unfamiliar territory. A departmental research group designed a MOOC which will award university credits to users completing it. An initial survey to assess willingness to be involved and create content revealed considerable interest among teaching staff. Throughout the design and production process, the drop-out rate remained low. Teaching staff remained keen to contribute to the MOOC. Our hypothesis was that the recent disruption caused by the pandemic meant that teaching staff would be more open to new methods of teaching, and this would affect their approach to the design process in the future. Through the use of surveys and interviews to evaluate contributors’ attitudes, experience and knowledge, we focus on the connections between traditional F2F teaching, online teaching and asynchronous teaching via MOOC, as well as highlighting lessons for both contributors and organisers.

Magical Realism Journey of Juan Rulfo’s Images:A Cross-Media Photographic Method for Juan Rulfo’s Photographs

The essay seeks to explore Juan Rulfo’s photographs from a perspective of magical realism, which is a traditional literary aesthetic style traditionally used in many Latin American novels rather than photos. Firstly, the essay analyses the possibilities of employing magical realism in Rulfo’s photographs from three perspectives. Secondly, it explores how magical realism is demonstrated in some Rulfo’s novels, El Llano en Llamas (1953) and Pedro Páramo (1955). Thirdly, the essay explores how to apply magical realism to analyses of Rulfo’s visual work. Meanwhile, this paper will also examine, through the magical realism in his photographs, how Rulfo demonstrates his concern for marginalised groups, his perspectives on issues of individual memory and collective memory, and his reflections on Mexican history. The essay aims to provide a new cross-media analytical method for contemporary photography analysis, while also prompting scholars and audiences to pay closer attention to the relevance of photography to other media. In this way the relationship between photography and history, memory, politics, culture and landscapes can be better understood.

Game-based Activity Design in Primary School Students’ Learning Style Detection

Generation Alpha, the present primary school cohort born after 2010, has significant exposure to mobile devices and gaming. Adopting a "One Size Fits All" approach in modern teaching methods may not be effective, as it overlooks individual learning preferences. Personalized learning can be facilitated by identifying a student’s learning style (LS). Adaptive learning based on LS has been found to have positive effects in several studies. However, traditional learning style detection techniques such as questionnaires and self-assessments can be time-consuming and demotivating for primary school students. This study aims to propose a game-based activity framework as an alternative to the Index of Learning Style (ILS) questionnaire linked with Felder Silverman Learning Style Model for LS detection. The proposed game was evaluated with a sample of sixty students, and preliminary results indicate that the game outperforms the original ILS questionnaire in terms of student engagement and motivation to complete LS activities, achieving an overall satisfaction rate of 87.5%. The second phase of the research will focus on evaluating the accuracy of LS prediction using the designed game, which is currently ongoing.

IRANIAN ART OF THE QAJAR ERA: EUROPEAN INFLUENCES AND «PERSIAN STYLE» FOR EXPORT

The Qajar era (late XVIII-1925) gave the world a unique style, unmistakably recognizable in painting, crafts, and photography. Clumsy, striking the imagination with its amazing brightness of colors and bold artistic techniques, it was formed largely due to active interaction with European culture via respect for the Persian traditional styles. The article deals with the significance of Europe and the European in the formation and development of Qajar art, addressing two opposing processes. Borrowing Western methods and techniques, educational models and new products on the one hand, and European fashion for Persian things, which influenced local production and its transformation on the other. The first process is seen in easel painting and the fashion for "european«details in interior decoration, the second — in «re-creation» of an updated carpet and ceramic production in Persia. The illustrative effect will be provided by selected items from the collection of the State Museum of Oriental Art in Moscow, including court portraits, glass paintings, qalamkaras, tiles, etc.

Authorship style transfer with inverse transfer data augmentation

Authorship style transfer aims to modify the style of neutral text to match the unique speaking or writing style of a particular individual. While Large Language Models (LLMs) present promising solutions, their effectiveness is limited by the small number of in-context learning demonstrations, particularly for authorship styles not frequently seen during pre-training. In response, this paper proposes an inverse transfer data augmentation (ITDA) method, leveraging LLMs to create (neutral text, stylized text) pairs. This method involves removing the existing styles from stylized texts, a process made more feasible due to the prevalence of neutral texts in pre-training. We use this augmented dataset to train a compact model that is efficient for deployment and adept at replicating the targeted style. Our experimental results, conducted across four datasets with distinct authorship styles, establish the effectiveness of ITDA over traditional style transfer methods and forward transfer using GPT-3.5. For further research and application, our dataset and code are openly accessible at https://github.com/AnonymousRole/ITDA.

하서 김인후의 누정원림 문학공간 연구

This paper examined how Kim In-hoo's spatial perception was embodied in Nujeong Garden Forest through an analysis of Nujeong Garden Forests created in Gwangju, Damyang, and Jangseong in Gwangju and Jeonnam. Kim In-hoo often visited Gwangju and Damyang Nujeong Garden Forest, the center of Honam City, after returning to his hometown and living in Jangseong.
 It can be seen that the Pungyeongjeong Pavilion in the Gwangju area became a space for Kim In-hoo to enjoy natural customs and express pure emotions. In addition, it could be considered that Hwanbyeokdang became a space for Kim In-hoo to cultivate his mind and body and self-sacrifice. Kim In-hoo reflected on his inner self in Pungyeongjeong and Hwanbyeokdang, while expressing the excitement felt there while enjoying beautiful nature in a poem.
 Next, Kim In-hoo focused on embodying the appearance of scholars who wanted to become a reclusive self-developed by relaxing in Soswawon or Nujeongwonrim in Myeonangjeong in Damyang area. Kim In-hoo was able to consider Kim In-hoo's spatial perception, which embodies the joy of living in Soswawon and Myeonangjeong, not just as a natural space, but as a secular space separated from the world.
 Finally, Kim In-hoo's sublimation from a space called Nujeong Garden Forest in Jangseong to a space that embodies filial piety for parents beyond the traditional style of enjoying the beautiful mountains of his hometown is a characteristic of Kim In-hoo's Nujeong Garden Forest literature. Jangseong area, his hometown, was a place of living where he had to return with his exhausted body from his public office and finally commission and live.

Research on the Application of Artistic Elements in Plastic Packaging Design Based on the Vision of Multivariate Statistical Analysis Inheritance

Abstract Characteristics with humanization and cultural heritage have become a new trend in plastic packaging design, and the integration of traditional art elements can effectively help complete the design. In this paper, the image of traditional culture and art is segmented and processed, and the description of regional significant values is realized through the multivariate statistics of regional features, and the constituent elements of art images are analyzed from different features. After extracting elements statistically, the traditional style migration of art elements is completed using a VGG network. To address the issue of slow optimization calculations during the iterative process, an offline model is used to achieve fast migration. In practice, the dynamic set ArtEleData is constructed based on the art and culture images of some ethnic minorities, and the evolution of the main elements such as clothing, food, shelter, and passages is studied, and the effect of the plastic packaging design using the above elements as the migrating body is measured. The color composition of the migrated art elements is the same as that of the plastic packaging design generated in this paper, with a small difference in the color ratio, and the average difference of different colors is 0.541. Among them, “12G” has the highest similarity in color moment characteristics, with a color moment of 0.00569, which proves the effectiveness of the migrated design of the art element packaging. This proves the effectiveness of the packaging migration design for artistic elements.

A High-Quality Hybrid Mapping Model Based on Averaging Dense Sampling Parameters

Navigation map generation based on remote sensing images is crucial in fields such as autonomous driving and geographic surveying. Style transfer is an effective method for obtaining a navigation map of the current environment. However, there is lack of robustness of the map-style transfer model, resulting in unsatisfactory quality of the generated navigation maps. To address these challenges, we average the parameters of generators sampled from different iterations with a dense sampling strategy in the Generative Adversarial Network (CycleGAN). The results demonstrate that the training efficiency of our method on the MNIST and generation quality on the Google Map dataset are significantly superior to traditional style transfer methods. Moreover, it performs well in multi-environment hybrid mapping. Our method improves the generalization ability of the model and converts existing navigation maps to other styles of maps precisely. It can better adapt to different types of urban layout and road planning, bringing innovative solutions for traffic management and navigation systems.

THE PLUM BRANDY FROM OAȘ LAND SYMBOL OF IDENTITY AND OF LOCAL SPECIFICITY

The plum brandy from Oaș Land is an identitary, specific element, deeply rooted into geographical romanian realities. With its origins long lost in past time, the craft and art of obtaining the plum brandy are nowadays in danger to be lost against the background of socio-economic changes specific to globalization. In this context, the purpose of the present study is to highlight and briefly describe a traditional occupation (plum tree cultivation and obtaining plum brandy) that has endured and survived over time. The obtained results highlighted the main aspects regarding the culture of plums and the craft of obtaining traditional style plum brandy, in Gherța Mică Commune, Romania.