bluuebunny/crossref_metadata_2025 huggingface dataset:
Regulation of Environmental Responsibility by Multinational Enterprises: From the Perspective of Host States
Authors: Zeng Qixuan
Published: September 2024

With the vigorous development of the global economy, the global ecology and environment are deteriorating. As one of the main economic activities in the world, transnational corporations greatly promote the economic development of the home country and the host country. However, at the same time, when transnational corporations conduct business activities overseas, due to various reasons, their activities in the host country have a great impact on the surrounding environment, and have caused actual environmental harm to the local environment. This paper uses the method of case analysis and comparative analysis to study. Therefore, this paper discusses the environmental regulation of multinational enterprises from the perspective of the host country. It examines how host countries implement local environmental standards and the impact of MNEs activities on the local environment. The analysis includes a discussion of the effectiveness of the current regulatory framework and its ability to hold multinational corporations accountable for environmental degradation. At the same time, taking the environmental impact as an example, the problems existing in the current legal regulatory framework are pointed out. Finally, the paper proposes strategies to strengthen the environmental responsibility and sustainability practices of MNE operating in host countries.
The Interaction Between Japanese Buddhism and Christianity in the Meiji Period
Authors: Wen Shaoming
Published: September 2024

Although initially fraught with tension, spanning roughly two decades, Buddhists employed various strategies to combat the spread of Christianity and uphold their traditional values. As the 1890s dawned, a new wave of Buddhists emerged, spearheading the reconstruction of Japanese Buddhism through processes of secularization and westernization in alignment with the currents of the Meiji Restoration. This paper delves into the intricate relationship between Buddhism and Christianity in Japan following the Perry Expedition. By scrutinizing the writings and orations of numerous Buddhist leaders spanning the period from the 1860s to the 1890s, this paper elucidates the multifaceted conflicts and interactions between Japanese Buddhism and Christianity. A nuanced analysis of their endeavors, reveals the evolving dynamics and strategies employed by both religions in navigating their coexistence in Japan's religious landscape, where both involuntarily made corresponding relative changes to be involved in social trends and Japanese traditions. This paper also discusses the cooperation and potential union between the two religions at the beginning of the 19th century, when New Buddhists received education in Western philosophy and examined Christianity. In short, the Buddhist-Christian relationship underwent a conversion from opponents to equal religion, even collaboratively enforcing social justice and care.
The Logical Path of Applying Sora Technology in the Cultural Industry
Authors: Li Ran
Published: September 2024

Today, with the in-depth development of science and technology, the application of artificial intelligence has become a new driving force for the development of the cultural industry. As the latest technological achievement in the field of generative artificial intelligence, the rational application of Sora in the cultural industry can produce synergistic effects and significant results. This paper aims to sort out the application logic of Sora technology in the cultural industry, comprehensively showcasing its core features of technology-driven, multi-faceted synergy, and paradigm shift from the five elements of technology, information, talent, systems, and channels. In this process, in order to further optimize the application of Sora technology in the cultural industry, it is necessary to strengthen the construction through innovative strategies, and improve the technological, economic, and aesthetic dimensions, thereby contributing to the prosperity and flourishing of socialist culture with Chinese characteristics.
The Prevalence of Self-Exploitation in Media Production: Analyzing the Impact of Technological and Societal Transformations
Authors: Wang Niqin
Published: September 2024

The development of science and technology and the changes of society have given a new look to traditional conceptual work. The developed network and ubiquitous communication have broken the time and space boundaries of work. Working from home has become a reality. Some people continue to predict that work will become a relaxed enjoyment. But the reality is frustrating. Not only did people not relax, but they also took on increasingly heavy work pressures. The boundaries between work and leisure are eliminated by heavy business, and the office is transformed into a place where people spend the most time. Therefore, work is no longer a pleasure, but self-exploitation behaviour. The unstable and unsafe nature of creative work in the media industry creates stress and anxiety, and the strong emotional pleasure associated with this kind of work exists. The tension between "pleasure" and "pain" in creative occupations has been fully proven. Unstable labour has now become a key feature of creative work. Creative occupations are driven by self-fulfilling desires and are places for exploitation and serious insecurity.
Changes and Mechanisms of Social Interaction Models in the Digital Age
Authors: Lv Jiaqi , Zhang Maoyuan
Published: September 2024

In the wave of the digital age, technology is rapidly evolving from Web 1.0 to Web 2.0 and moving towards the new era of the metaverse. Social media, as a pioneer of this transformation, has deeply permeated peoples daily lives, reshaping our social interaction models. The rise of companion socialization is a typical phenomenon in this transformation, reflecting significant changes in social interaction models in the digital age. This paper aims to systematically review the notable changes in social speed, social subjects, and social methods during the evolution of social media, and to deeply analyze the reasons behind these changes. By exploring the mechanisms of market evolution, platform manipulation, and user addiction, this study seeks to help people better understand the pros and cons of social media, adopt a more rational attitude towards the social challenges of the digital age, and promote the construction of a healthy social ecosystem.
Visible Artificial Intelligence: Exploring the Enhancement of Chatgpt and Film Script Creation
Authors: Zhou Xinhao , Xu Meiqi , Sun Min
Published: September 2024

As a joint link of artificial intelligence products, the emergence of ChatGPT triggered a global debate, and attracted the attention of practitioners all over the world. Meanwhile, multiple film and television production fields such as computer graphics processing, digital virtual shooting, CG special effects production, have embedded automatic content generation factors. However, artificial intelligence is also facing legal dilemmas and ethical constraints, researchers need to compare and analyze its advantages and problems, systematically consider the strengths and impacts, limitations and problems of AIGC, and provide reference and practical guidance for AI to better promote itself.
Community Shaping and User Segmentation: A New Approach to Shaping Consumer Stickiness--Take Lululemon as an Example
Authors: Chen Zhiyi
Published: September 2024

In recent years, social marketing has become an indispensable part of the marketing strategies of major sports brands. This article uses literature analysis, case tracking and other research methods to analyze the social marketing of Lululemon, a well-known Canadian sports brand. The study found that Lululemon makes full use of user segmentation to locate its target audience, and then carries out community building for the target group, combining online and offline, so as to better convey the brand concept, arouse consumer resonance, and achieve the purpose of strengthening consumers' brand stickiness. Based on this analysis, this article puts forward several inspirations for the community marketing of major sports brands: carrying out user segmentation and accurately positioning brand target groups is the foundation; focusing on consumer experience feedback, creating efficient communities, and conveying the core concepts of the brand are the key is to increase consumer stickiness and improve consumer loyalty to the brand.
Functioning School Leadership During COVID-19
Authors: Li Yanan
Published: September 2024

The current global pandemic has created an extraordinary and unprecedented opportunity for educational authorities to initiate significant reforms in the operating protocols of schools as a necessary response to the challenges posed by the COVID-19 crisis. The abrupt shift from traditional, in-person classroom instruction to remote and online learning environments has highlighted the need for swift action and thorough preparedness, requiring educational systems to adapt rapidly to new teaching methods and technologies. The long-lasting impact of the COVID-19 pandemic has introduced additional challenges for school leadership, emphasizing the urgent need for change and adaptation during this ongoing global health emergency. The critical role of academic leadership has become increasingly important, as leaders are now tasked with addressing complex issues and ensuring that education continues to be delivered effectively despite the disruptions caused by the pandemic. This study conducts a comprehensive analysis of the current literature on the effects of school leadership during the COVID-19 pandemic. It aims to identify significant trends, advancements, and insights regarding academic leadership practices and their impact on school communities during the pandemic. Practical guidelines and views are offered for immediate use and future research areas.
Current Status, Hotspots, and Trends of "Artificial Intelligence + Education" Research in China
Authors: Zhang Xueyi
Published: September 2024

The rapid development of artificial intelligence technology is profoundly leading education towards an intelligent direction. This article takes the literature related to "Artificial Intelligence + Education" published in the core journals of CSSCI from 2013 to 2024 as the research object, and uses the CiteSpace tool for visualization analysis. It combs and discusses the current status of domestic research in this field from aspects such as publication status, authors, institutions, and keyword co-occurrence and burst words, analyzes research hotspots, and predicts research trends. The results show that: in the past decade, the number of publications in this field in China can be divided into three stages: preliminary exploration, rapid development, and steady growth; some high-productivity authors have gradually formed a core group of authors, showing an overall development trend of multi-author cooperation and multi-unit collaboration; the types of publishing institutions are mainly normal colleges and departments of colleges and universities, with relatively low participation of enterprises and government institutions; research hotspots focus on three aspects: educational reform, categories of education, and educational technology, revealing the active exploration of the education field for intelligent technology; with the transformation of education and the development of technology, the combination of artificial intelligence and digital economy, new requirements for citizens' core literacy, and new challenges for teachers' professional literacy and educational models have become hot topics in current artificial intelligence research.
Research on Heidegger's Fundamental Ethics
Authors: Fan Xiaoou
Published: September 2024

Based on Heidegger's idea of original ethics, this paper analyzes the state of how Da-sein has being-in-the-world, takes Heidegger's concept of conscience as an entry point, explores the difference between Heidegger's original ethics and traditional ethics, and reflects on what kind of ethics his thought is. From the perspective of ontology, Heidegger takes the being of human as the highest philosophical ontology, inquires deeply into the existence of Da-sein, and explores the relationship between Da-sein and Being. Through the diffusion of the understanding of Potentiality-of-Being of Da-sein, this paper gradually analyzes the basic construction of Da-sein being-in-the-world, under the definition of the structure Being-in is embedded in the world, the existence of Da-sein being-in-the-world unfolds. In the process of understanding the world, Da-sein is thrown into everyday life, losing himself and falling prey, but the true nature of Da-sein keeps calling him, Da-sein listens to the call of its conscience and makes a decision to face death and his true ones self. Starting from the process of alienation from the true self to the untrue self of Da-sein, we analyze Heidegger's basic concept of human-centeredness. What exactly constitutes the Being of Da-sein and how does the existence of Da-sein unfold. Even though many later scholars and Heidegger himself did not consider his thought to be a concept under the banner of ethics, and considered his thought to be contrary to traditional ethics. What is undeniable is that Heidegger's original ethics, with its in-depth exploration of the inner man, greatly expands the definition of universal morality and norms in traditional ethics.
Effects of Student Choice on Intrinsic Motivation and Language Proficiency in High School L2 Education
Authors: Hou Yiyi
Published: September 2024

This literature review investigates the impact of student choice on intrinsic motivation and language proficiency in high school second language (L2) classrooms. The study addresses the existing gap in comprehensive research regarding how the implementation of student autonomy influences these educational outcomes. A systematic review of empirical studies, teaching practices, and peer-reviewed articles was conducted. Relevant keywords were used to search journals from different academic databases. The identified studies were evaluated based on their methodology, relevance, and quality. This review finds that providing students with autonomy in selecting learning materials and activities could enhance their intrinsic motivation. Increased autonomy fosters greater interest, engagement, and enjoyment in learning. However, the impact of autonomy on language proficiency is mixed. Some studies demonstrate improved proficiency due to personalised learning experiences, while others indicate that excessive autonomy without adequate instructional support can hinder language development. The review highlights the necessity of balancing autonomy with teacher guidance and considers the developmental stage of high school students. While student autonomy in high school L2 classrooms generally increases intrinsic motivation, its impact on language proficiency necessitates carefully combining autonomy with appropriate instructional support. This review underscores the need for longitudinal research to better understand the long-term effects of autonomy on motivation and proficiency, the development of sophisticated tools for measuring intrinsic motivation, and the implementation of practical strategies for integrating student choice in educational practices.
An Analysis of Narrative Relationships in Animal Farm
Authors: Dong Yiying
Published: September 2024

The purpose of this paper is to explore in depth the narrative relationships in George Orwell's classic work Animal Farm. By analyzing the novel's narrative structure, character setting, plot development, theme and symbolism, as well as narrative technique and language style from multiple perspectives, it reveals the profound political and social allegory behind the work, analyses the methods of global analyze and micro analyze in the novel, further analyses the novel's writing characteristics, and discusses the wonderful use of these coherent relationships and rhetorical techniques in the novel. An analysis of the narrative relationships in Animal Farm not only reveals the profound political and social allegory of the work, but also demonstrates author George Orwell's remarkable literary talent and profound insight. By analysing various aspects of narrative structure, character setting, plot development, theme and symbolism, as well as narrative technique and language style, this paper provides readers with a comprehensive and in-depth understanding of Animal Farm.
An empirical research on the influence of house price on the consumer market based on monthly statistics in Shanghai
Authors: Liu Xinyan , Lyu Kejing , Wang Zhuoyuan
Published: September 2024

Consumption plays a crucial role in peoples daily lives. In recent years, Chinas consumer market has faced urgent needs for consumption transformation and heavy pressure from economic downturn. As an important component of everyday consumption and wealth savings, there is a close relationship between changes in house prices and the consumer market. There has been a heated debate in the academic community regarding the positive or negative relationship between the two. The study keeps focus on the changes of consumer market, attempting to reveal the effects of house price has. This article extracts monthly consumption and housing price data in Shanghai from 2014 to 2024, strictly arranges them in chronological order, and uses the ECM model to handle the instability of time series data. The conclusion of this study is that the rise in housing prices can stimulate consumption. Also house prices have a controlling effect on the fluctuations of the consumer market.
Research on the influencing factors of housing price based on multiple linear regression and random forest
Authors: Jiang Xinran , Li Changrong
Published: September 2024

This paper aims to use multiple linear regression model and random forest models to analyze and study the factors affecting the housing price in Boston. The multiple linear regression model describes the relationship between multiple independent variables and one dependent variable through linear equations, and the random forest improves the accuracy and robustness by constructing multiple decision trees and combining their prediction results. To deal with complex nonlinear relationships and high dimensional data. Housing price is an important index to reflect the level and condition of economic and social development of a region, so it is of theoretical value and practical significance to explore its influencing factors and ways and degrees. Multiple factors are selected to analyze the weight and importance of each influencing factor, so as to help the government and decision makers to formulate more accurate policies, promote the stable development of the market, and provide scientific decision-making support for real estate developers, investors and ordinary buyers. In this study, the random forest model based on decision tree was used to clean, select and reduce the acquired housing price data, and to find out the main factors affecting housing price from the perspective of information gain, so as to obtain a relatively complete mathematical model and provide a reference scheme for future research by scholars.
Near-space radiation environment analysis and protective measures
Authors: Qi Xuan
Published: September 2024

As a matter of fact, near space radiation environment analysis plays a crucial role in near space physics. With this in mind, this study introduces the types of radiation damage in the near-space radiation environment as well as corresponding protective measures. To be specific, the protective strategy for Total Ionizing Dose (TID) and for Displacement Damage (DD) are similar, focusing on material shielding to mitigate the effects. According to the analysis, the guiding principle for the protection strategy against Single Event Effects (SEE) is risk management, aiming to minimize the probability of catastrophic SEE and to detect and mitigate the impact of non-destructive SEE. Based on the analysis, some measures are proposed accordingly. In fact, current strategies for future radiation protection may involve the use of biological membranes to absorb radiation or the application of quantum mechanics principles to eliminate the effects brought about by radiation. These results shed light on guiding further exploration if near space radiation.
The Impact of Financing Structure on Innovation: Empirical Evidence from Chinese Firms
Authors: Zang Ran , Guan Yuhao
Published: September 2024

Selecting an appropriate financing structure is vital to support corporate R&D activities, which is crucial for firms competitive advantages. So how does financing structure affect innovation? This paper investigates the impact of external financing ratios on corporate R&D. The study finds that a high proportion of external financing suppresses R&D investment. Internal financing and equity financing significantly promote corporate R&D investment, whereas debt financing and government subsidies have a notable inhibitory effect. The presence of equity concentration and financing constraints weakens the suppressive impact of external financing on R&D investment. The inhibitory effect of external financing on R&D intensity is more pronounced in state-owned, small-scale, and traditional enterprises. This paper delves into the optimal financing structure for corporate innovation, providing new perspectives on the relationship between financing structures and corporate R&D, and offering empirical evidence to support the improvement of the equity financing market in the country.
Portfolio Optimization Based on Rolling Window Using 5 Stocks
Authors: Chen Penghan
Published: September 2024

This paper aims to explore a method of constructing dynamically adjusted investment portfolios through the combination of rolling windows and mean-variance models. The construction of investment portfolios plays a crucial role in financial markets by effectively diversifying risks and achieving stable investment returns. This study analyzed adjusted closing price data from five stocks (AAPL, JPM, JNJ, XOM, and PG), sourced from Yahoo Finance. The rolling window method was employed to predict future stock prices and construct investment portfolios based on these predictions. This study calculated annualized average return and covariance matrix for each window. The mean-variance model and optimization algorithms were then used to determine the optimal weights for daily portfolio composition. The results demonstrate the high accuracy of the rolling window method in predicting short-term stock prices. Notably, Procter & Gamble (PG) and Johnson & Johnson (JNJ) exhibited the lowest prediction errors. Investment portfolios based on rolling window predictions performed well over a certain period. Nevertheless, the S&P 500 index did not show a substantial disadvantage compared to their long-term performance. This research provides dynamic portfolio optimization methods of practical value for investors in financial markets.
A Research of Fine-Tuning CNN-LSTM Model for Gold Price Prediction
Authors: Luo Yang
Published: September 2024

Gold price and foreign exchange price prediction are usually regarded as serialized data with strong time correlation. It is precisely because of this feature that the performance of traditional convolutional neural networks is often not as good as that of recurrent neural networks. This paper fine-tunes the CNN-LSTM model in two ways. The first is to simplify the input data, convert the time series into binary data, and change the model task from predicting prices to predicting price fluctuations. The second is to add a dropout layer and use the dropout layer to improve the model's overfitting problem. The results demonstrate that the improved model outperforms the first model, with prediction accuracy rising from 54% to 57%. Furthermore, the refined model is not limited to processing the gold price series; it can also be applied to other time series, and when paired with other models, it could yield even better outcomes.
Metal Futures Prices Prediction Based on LSTM-GRU Hybrid Model
Authors: Liu Boang
Published: September 2024

Accurately predicting the prices of metal futures such as aluminum, copper, lead, nickel, tin, and zinc is crucial for investors, manufacturers, and policymakers due to their significant impact on economic activities and industrial processes. This paper presents a comprehensive study on the prediction of futures prices using a hybrid model combining Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) neural networks. The research utilizes historical data from 2014 to 2024, including daily open, high, low, close prices, trading volumes, and return. Data preprocessing involved interpolation for missing values and normalization using MinMaxScaler. The models performance was evaluated with various accuracy metrics, such as Root Mean Squared Error (RMSE), Mean Squared Error (MSE), Mean Absolute Error (MAE) ect, showing high accuracy for lead, tin, and zinc futures in both train and test datasets. However, the model performed well only on the train data for aluminum, copper, and nickel, indicating the need for more iterations, additional factors, or the consideration of unexpected events. The results highlight the efficacy of the LSTM-GRU hybrid model in futures price prediction, with significant implications for informed investment decisions. Future research should consider cross-market analysis and additional factors to enhance model accuracy further.
Research on enhancing human-machine interaction in medical exoskeleton devices through the integration of artificial intelligence
Authors: Han Mengyao
Published: September 2024

This paper explores the integration of Artificial Intelligence (AI) to enhance human-machine interaction in medical exoskeleton devices. AI technologies such as machine learning, natural language processing (NLP), and predictive analytics can significantly improve the efficiency and comfort of these devices. Machine learning algorithms analyze sensor data in real-time, optimizing control strategies to adapt to user movements. NLP enables intuitive control through voice commands, reducing the cognitive and physical burden on users. Predictive analytics anticipates user needs, enhancing responsiveness and reducing the risk of errors. Case studies of AI-integrated exoskeletons, like the EksoGT and ReWalk, demonstrate improved rehabilitation outcomes and user satisfaction. Despite challenges such as data privacy and the need for significant investment, the benefits of AI integration are substantial. This paper provides insights into the potential of AI to transform medical exoskeletons, offering new levels of independence and quality of life for individuals with mobility impairments. Future research should focus on developing advanced AI algorithms and exploring new applications to further enhance user experience and device performance.
Mixed training backdoor attack method improves generalization of backdoor attacks: An empirical study based on multiple models and datasets
Authors: Zeng Tong
Published: September 2024

In recent years, backdoor attacks have posed significant security threats to the training process of deep neural networks (DNNs). Attackers attempt to embed triggers in the training set, causing the victim model to behave normally when processing benign samples, but maliciously alter predictions when the hidden backdoor is activated by these triggers. However, our research found that when the trigger locations differ between the training and test data, the success rate of backdoor attacks decreases. This finding was consistent across different models and datasets through our experiments. To address the issue of decreased attack success rates caused by inconsistent trigger distributions between training and test data, we propose a mixed training backdoor attack method. This method enhances the generalization of attacks by constructing backdoor attack data with triggers in various positions during the training phase. When applying this mixed training backdoor attack approach to the BadNets and Blended attack methods, the ASR (Attack Success Rate) on test sets improved by up to 99.57% and 94.96%, respectively, across different models and datasets.
A review of RIS-assisted wireless communication research
Authors: Zhu Zhuorui
Published: September 2024

This paper presents a review of the research progress in Reconfigurable Intelligent Surface (RIS) assisted wireless communications. It begins by providing an overview of recent developments and trends in the field of wireless communications. The following sections introduce the fundamental principles of both RIS technology and wireless communication technology, providing a foundation for the subsequent comprehensive examination of the current research status of RIS-assisted wireless communication. This study then turns to an in-depth analysis of the advancements in RIS-assisted wireless communication research, encompassing hardware regulation, baseband algorithms, multi-access enhancement, and network design. Subsequently, this paper offers a concise examination of the opportunities and challenges associated with RIS in wireless communication. This paper closes with a summary of the field of RIS-assisted wireless communication, followed by an outlook on future directions.
A ResNet based transfer learning pulmonary medical image disease detection system
Authors: Zhang Gengyuan
Published: September 2024

Medical imaging represents a significant application of deep learning. In response to the vast domain of medical image analysis and the limitations and inefficiencies of conventional methods for diagnosing brain diseases, this paper explores the application of an enhanced ResNet-50 model in the classification of brain CT images. The goal is to improve the detection and classification accuracy of aneurysms, cancer, and malignant tumors. The study utilized 259 images, undergoing training, validation, and testing processes to verify the model's efficacy. The ResNet-50 model addresses the issue of vanishing gradients in deep networks through residual learning, making it suitable for high-resolution images and small datasets. Results indicate good training performance, though some fluctuations in validation performance, achieving a validation accuracy of 0.960. This research not only enhances diagnostic accuracy for brain diseases but also paves a new path for the further application of deep learning technologies in the medical field.
BIM Technology and Sustainable Application Development of Green Building under New Evaluation Standard
Authors: Luan Hanrui
Published: September 2024

Taking the integration of modern information technology and green building as the research background, we study the current status of BIM technology and green building development and application in the existing green building evaluation standard system, analyze the obstacles existing in the practical application of BIM technology in the whole life cycle of green building under the new global evaluation standard, and point out the direction of further research. The results of the study show that at this stage, BIM technology and green building-related regulations and systems are not yet sound, the evaluation standard system is not yet perfect, and there is a lack of organic synergy between each other,"Siloing" at certain points throughout the life cycle of a building. Green buildings are far away from the development and application of BIM technology and green buildings. The phenomenon of "isolated" in some stages of the whole life cycle of the building, some links appear as an "island" phenomenon, there is still a gap between green building and comprehensive coverage, and the widespread application of BIM technology needs to be promoted. In the future, the application research on sustainable development of green buildings based on BIM should be committed to further improve the relevant regulations, systems, and evaluation standards, create a core database of all relevant information in each stage of the whole life cycle of the building, realize the interactive sharing of information, implement the BIM integrated application mode, give full play to the advantages of the whole life cycle and integrated management of BIM, and integrate BIM technology with green building in a deeper way.
The ways and mechanisms of using CFRP materials to strengthen the flexural performance of reinforced concrete beams
Authors: Zhang Junyi
Published: September 2024

Due to the increasing demand for structural strengthening and retrofitting solutions, Fiber-reinforced plastic (FRP) materials has emerged as a promising technology to improve the performance of existing structures. FRP material is a composite material composed of fiber-reinforced plastics, known for its excellent strength and resistance to corrosion. The primary components of this material consists of various fibers, such as glass fiber, carbon fiber, or aramid fiber, along with a resin matrix, such as epoxy resin, polyester resin. FRP materials are commonly employed in construction engineering to enhance the flexural strength of concrete structures. This paper, through methods of literature review and building physical models, investigates the effectiveness of Carbon Fiber Reinforced Polymer (CFRP) materials in enhancing the bending strength of reinforced concrete beams. This study aims to examine the impact of carbon fiber reinforced polymer (CFRP) sheets on the flexural strength of reinforced concrete beams, which aims to establish calculation formulas based on the specific impacts observed. The findings of this study demonstrate the capacity of FRP materials, specifically CFRP materials, to improve the bending strength of reinforced concrete beams. The usage of FRP materials for structural reinforcement offers a durable, corrosion-resistant, and lightweight solution that can prolong the lifespan and improve the structural efficacy of existing infrastructure.
The working principles of canard wings and its aerodynamic advantages and effects on aircraft
Authors: Lai Wenduo
Published: September 2024

Canard wings have gradually become more and more popular since the advent of the supersonic jet era, and research on the subject has become more detailed in order to be able to manoeuvre this pair of small wings more perfectly and effectively. This paper mainly studies the aerodynamic principle of the canard wings and the impact of its aerodynamic advantages on the efficacy and stealth performance of the aircraft under different aerodynamic stability and makes a comparative analysis with the horizontal tail. Through literature analysis and review as well as a small number of comparative analyses, this paper concludes that although canard wings can provide many aerodynamic advantages, they also have their limitations. Canards can only be effectively coupled when they are close to the main wing and longitudinally higher than or equal to the height of the main wings. The radar cross-section (RCS) characteristic of the canard wings will increase with the angle of its deflection.
Design of urban low-carbon green transportation demonstration area in the context of "dual carbon" --Taking Wuhua District of Kunming City (Zhengyi Road and Sanshi Street area) as an example
Authors: Yan Jingfei
Published: September 2024

In the context of "dual-carbon", by reconstructing the relationship between people and vehicles, optimizing spatial quality, and taking street space renovation as a starting point, we can continuously improve the travel experience of human-centered neighborhoods, build a higher-quality living environment, and guide green travel. Under this context, this study takes Wuhua District, Kunming, Zhengyi Road and Sanshi Street as a case to explore the design of urban low-carbon green transportation demonstration area under the background of "dual-carbon". By analyzing the "dual-carbon" strategy and related policies, and taking into account the current transportation situation in Wuhua District, Kunming, it is found that there are problems such as traffic congestion, chaotic parking, and poor bus routes in this area. To address these challenges, this study proposes a series of optimization measures based on successful cases at home and abroad, including improving the transportation network, strengthening non-motorized parking management, introducing intelligent traffic management systems, and optimizing the connection between bus routes and rail transit. These measures will help improve transportation efficiency, reduce congestion, promote green travel, and provide useful lessons and references for the construction of low-carbon transportation demonstration zones in other cities.
Adding Yaw System to Improve Wind Energy Utilization of Offshore Wind Turbines
Authors: Wu HangCheng
Published: September 2024

In wind power generation, the wind energy loss caused by yaw and other factors is as high as 50%, which directly leads to the difficulty of greatly improving The efficiency of wind power generating in producing electricity. The development of yaw control system restricts the progress of wind energy utilization, The purpose of this study is to investigate the application and influence of automatic steering of offshore wind turbines in practice. This paper proposes that the automatic yaw system of offshore wind turbine can improve the efficiency of wind power generation. The outcomes of the experiment demonstrate that the wind resources can be fully utilized and the power generation efficiency of the offshore fan can be improved by enabling the offshore fan to automatically turn according to the wind direction. The research has a certain value for the development of new energy power generation technology. In this paper, the method of Simulink simulation experiment is used to demonstrate that the yaw system can improve the wind energy utilization coefficient of offshore fan.
A CONSTRUÇÃO DO INIMIGO: HATERS E A CULTURA DO ÓDIO
Authors: Rodrigues João Gaspar
Published: September 2024

Analisa-se, neste estudo, a partir de uma revisão bibliográfica e exploratória, os contornos conceituais do termo “hater”, situando-o no contexto histórico e atual. Alguns fatores morais, psicológicos, sociais e emocionais que determinam o fenômeno são objeto de atenção. O desenvolvimento do ensaio ainda contempla o crime de ódio, a estilização do afeto hostil e estratégias de enfrentamento. Estas estratégias podem envolver tanto a compreensão psicológica, moral e jurídica do comportamento quanto abordagens sociais para mitigar suas consequências. Ao final, é apresentada uma síntese sobre possíveis direções futuras de pesquisa e recomendações para lidar com a proliferação dos haters.
ESTUDO DE CASO: A INVESTIGAÇÃO DA GRAVE CRISE NO SISTEMA PRISIONAL DA REGIÃO METROPOLITANA DE FORTALEZA (2016), QUE ANTECEDEU E MOTIVOU A REESTRUTURAÇÃO DO NÚCLEO DE INVESTIGAÇÃO CRIMINAL (NUINC) DO MINISTÉRIO PÚBLICO DO ESTADO DO CEARÁ
Authors: MELO ARAGÃO ALICE IRACEMA , Ibiapina Lima Maia Humberto , Mota Martins Samuel
Published: September 2024

A crise penitenciária experimentada pelo sistema prisional cearense no ano de 2016 apresentou contexto bastante peculiar. Nos dias que antecederam as rebeliões em 07 (sete) unidades prisionais, o Sindicato dos Agentes e Servidores do Sistema Penitenciário do Estado do Ceará (SINDASP/CE) organizava junto à categoria um movimento grevista de paralisação em busca da valorização da política remuneratória do cargo de policial penal. Inobstante a existência de decisão judicial atestando a ilegalidade do movimento, a greve foi mantida pela categoria, que decidiu por iniciar a paralisação exatamente no dia de visitas aos detentos, gerando caos e revolta da população carcerária. A crise penitenciária acarretou um prejuízo material elevado e um número de 14 (quatorze) detentos mortos. Esse cenário fomentou a criação, no âmbito do Ministério Público do Estado do Ceará, de um órgão com a expertise voltada para o enfrentamento das questões penitenciárias, principalmente aquelas vinculadas ao combate à corrupção no seio prisional. Daí fora regulamentado o Núcleo de Investigação Criminal, definido como órgão de execução ministerial com atribuição criminal para, dentre diversas outras competências, atuar no combate à corrupção de agentes públicos em meio penitenciário.
JUSTIÇA ALTERNATIVA E PRISÃO PREVENTIVA OFICIAL: O MITO DO SEU ANTAGONISMO
Authors: Carreón Perea Héctor
Published: September 2024

En el proceso penal surgen disyuntivas sobre la viabilidad de la autocomposición de controversias en el marco de la aplicación de medidas punitivas como la prisión preventiva oficiosa. Este trabajo propone analizar los supuestos y requisitos de procedencia de un mecanismo alternativo frente a manifestaciones coercitivas del poder estatal, a fin de incorporar un enfoque de resolución de los conflictos que respete las necesidades tanto de la víctima como de la persona ofensora.
Libro de resúmenes: I Congreso Nacional de Proyectos Fin de Grado de Farmacia
Published: September 2024

Desde el grado en farmacia de la Universidad San Jorge se convoca el I Congreso de Proyectos de Fin de Grado. Es un evento académico y científico que reúne a estudiantes, profesores, profesionales y expertos en el campo de la farmacia. El I Congreso de Proyectos de Fin de Grado de Farmacia tiene como objetivo proporcionar una reunión para que los estudiantes presenten sus proyectos de fin de grado, compartan conocimientos y experiencias y fomenten la discusión sobre temas relevantes en el campo de la farmacia. Características del Congreso: • Presentación de Proyectos: Los estudiantes tienen la oportunidad de presentar los resultados de sus proyectos de fin de grado, destacando la relevancia, metodología, resultados y conclusiones. • Intercambio de Conocimientos: El congreso fomenta el intercambio de conocimientos y la discusión entre estudiantes, profesores y profesionales del sector, promoviendo la colaboración y el networking. • Foro de Debate: Se organizan sesiones de debate y mesas redondas para abordar temas relevantes y desafíos actuales en el ámbito de la farmacia, con la participación activa de los asistentes. • Reconocimiento Académico: Se otorgan premios y reconocimientos a los proyectos más destacados, fomentando la excelencia académica y la innovación en el campo de la farmacia.
Radiation induced osteosarcoma of clavicle: A case report
Authors: Paul Manu , Kumar Bhavya , Philip Deepa , Sugath Bhaskar
Published: September 2024

Radiation induced sarcomas (RIS) are the most dreaded long-term complications of head and neck irradiation. RISs are usually high grade and aggressive in nature. Although osteosarcoma is a common RIS in head and neck region, radiation induced osteosarcoma of the clavicle is rarely reported and generalized outcome is poor. Here we report a case of radiation induced osteosarcoma of the clavicle following neck irradiation for a carcinoma of tongue.
Detection of Crimean-Congo Haemorrhagic Fever virus antibodies in cattle in Kenedougou and Mouhoun provinces in Burkina Faso
Authors: Dahourou Laiban , Savadogo Madi , Dera Mikhailou , Abga Lamoussa , Ouoba Bruno , Tapsoba Rayangn , Yougbare Bernadette , Akio Salimata , Zerbo Lamouni , Traore Amadou , Alambedji Rianatou
Published: September 2024

Background:
Crimean-Congo haemorrhagic Fever (CCHF) is a zoonotic disease caused by an Orthonairovirus of the Nairoviridae family transmitted by tick bites and also contact with infected blood, tissues or body fluids. Until now, fewer studies have been conducted in animals in Burkina Faso.
Aim:
This study was conducted to investigate the seroprevalence and risk factors of CCHF in two provinces of Burkina Faso.
Methods:
Serum samples were collected from 371 bovine animals. In addition, questionnaire surveys were performed with cattle breeders. The double-antigen sandwich ELISA test was used to determine the presence of antibodies against the CCHF virus in serum samples.
Results:
The results showed an overall prevalence of 72.2% (95% CI: 67.6% - 76.7%). Within the 74 herds included in the study a herd prevalence of 96% (95% CI: 91.4% - 100%) was obtained. The prevalence was significantly higher in Mouhoun province (80%, 95% CI: 74% - 86%) compared to Kénédougou province (65.6%, 95% CI: 59.1% -72.2%). Multivariable regression analysis showed that females were more likely to be infected (OR=1.99, 95% CI: 1.1-3.6, p=0.023) than males. In addition, cross-breed animals (OR= 6.42, 95% CI: 1.71-24.14, p=0.006) were more likely to be infected compared to local-bred animals. This study revealed the presence of antibodies of CCHF virus in cattle in the study area, indicating the need of implementing control measures in veterinary sector.
Conclusion:
Despite the importance of CCHF in public health, no study has been implemented regarding this condition in animal in Burkina Faso. This study described evidence of cattle exposure to the virus in Burkina Faso.
A IMPORTÂNCIA DO INCENTIVO AO ESTILO DE VIDA SAUDÁVEL: UM RELATO DE EXPERIÊNCIA
Authors: Sousa Júlia Mapelli de , Elias Luiza Santos
Published: September 2024

O presente relato de caso foi elaborado com a finalidade de expor a experiência das autoras em uma intervenção em uma escola, cujo tema foi estilo de vida saudável. As metodologias utilizadas incluíram coleta de dados, rodas de conversa, percurso com objetos e perguntas, além de uma avaliação final para os alunos. Concluiu-se que os alunos demonstraram grande satisfação e solicitaram mais atividades semelhantes.
PENGARUH PELATIHAN KERJA, KOMPENSASI DAN PENGEMBANGAN KARIR TERHADAP KINERJA KARYAWAN PIZZA HUT DELIVERY PLAJU PALEMBANG
Authors: Indah Mawarni
Published: September 2024

Tujuan pada penelitian ini untuk mengetahui dan menganalisa pengaruh Kompensasi, Pelatihan dan Pengembangan Karir terhadap Kinerja Karyawan PHD Plaju Palembang. Desain penelitian pada penelitian ini adalah asosiatif, variabel dalam penelitian ini terdiri dari tiga variable bebas dan satu variable terikat. Sebagai variable bebasnya adalah pelatihan kerja (X1), kompensasi (X2) dan pengembangan karir (X3), sedangkan variable terikatnya adalah Kinerja Karyawan (Y). Sampel yang digunakan peneliti untuk penelitian ini adalah sampel jenuh yaitu seluruh populasi yang berjumlah 31 orang dijadikan sebagai sampel. Data yang digunakan dalam penelitian ini adalah data primer dan data sekunder. Penelitian ini dilakukan dengan menyebarkan kuesioner yang menggunakan skala likert.  Teknik Analisis Data Kuantitatif menggunakan Uji Validitas, Uji Reliabilitas, Uji Asumsi Klasik, Analisis Regresi Linier Berganda, Uji Parsial (Uji t), Uji hipotesis secara bersama (Uji F) dan Koefisien Determinan (R2). Berdasarkan hasil analisis data yang telah dibahas oleh peneliti dapat disimpulkan bahwa Pelatihan Kerja, Kompensasi dan Pengembangan Karir berpengaruh secara simultan terhadap Kinerja Karyawan PHD Plaju Palembang.