bluuebunny/crossref_metadata_2025 huggingface dataset:
Study On Copyright Infringement of Artificial Intelligence Paintings
Authors: Yan Ziyan , Hao Zhao
Published: June 2024

Since 2022, artificial intelligence (AI) technology has been fully developed, and its performance in the field of art has been extremely outstanding. Programs of AI painting have been able to generate paintings with different styles and great innovativeness, but AI still needs to access and utilize other people's works in the process of painting, and there exists a risk of infringement. According to the cases that happened in reality, AI has the risk of infringement of reproduction rights, infringement of adaptation rights, and infringement of the author's right of authorship. The governance of copyright infringement of AI painting is also extremely complex, there are difficulties in the identification of infringement, the identification of the responsible subject, and difficulties in the rights defense litigation. Given the copyright infringement problem of AI paintings, this paper will study the formulation of judgment standards, the promotion of litigation methods, the improvement of laws and regulations, and the promotion of industry self-discipline. This paper is committed to protecting the legitimate rights and interests of copyright holders and effectively reducing the infringement of AI paintings.
Specific Impairments and Challenges in Women with ADHD
Authors: Guo Congyu
Published: June 2024

Gender differences in behavior, preferences, and roles contribute to distinct gender-related stigma and expectations. Women who deviate from these expectations often face stigmatization and feelings of inadequacy. Gender-specific symptoms and challenges are prevalent among individuals with Attention-Deficit/Hyperactivity Disorder (ADHD). This paper explores the unique experiences and difficulties of ADHD in women. Understanding these gender-specific challenges is essential for effective ADHD treatment in women. This review takes a closer look at the specific ways ADHD affects women. During pregnancy, women with ADHD encounter particular challenges, like impulsivity and inattention, which makes it essential to have tailored approaches to support them. This study also dives into the personal journey of women dealing with ADHD, emphasizing the difficulties they face in areas like self-esteem, sensitivity to rejection, managing their emotions, and academic performance. Moreover, in the workplace, women with ADHD confront their own set of obstacles, making it necessary to develop strategies and accommodations that cater to their unique needs. Besides, young women with ADHD have more significant depressive symptoms, compared to their male counterparts. They exhibit gender-specific vulnerabilities, including higher rates of depression, suicidal ideation, and self-harm behaviors, which are influenced by childhood impulsivity and mediated by peer relationships. Emotion regulation (ER) difficulties are significantly more pronounced in women with ADHD as well. ER challenges contribute to depression, with a more substantial impact in women. This review underscores the importance of considering gender-specific symptoms and challenges, emphasizing the need for tailored interventions and further research into women-specific ADHD experiences.
The Influence of MBTI Personality Types on College Students' Academic Performance: The Mediating Role of Learning Motivation
Authors: Ke Maihang
Published: June 2024

With the exchange and development of culture, Myers-Briggs Type Indicator (MBTI) personalities has gradually spread among Chinese young people. MBTI personalities are one of the key topics in current research, and it also has influence on secondary school students' learning motivation and academic performance. However, researcher found that there was still a research gap in this problem among college students. Based on the data collected in a university in Guangzhou, correlation analysis and regression analysis were used to study the intermediary effect of learning motivation on college students' academic performance. It is found that MBTI personalities positively affect college students' academic performance, MBTI personalities positively affects learning motivation, learning motivation positively affects academic performance, and learning motivation plays a mediating role between MBTI positively affecting academic performance. Furthermore, learning motivation, academic performance was significantly different in personality types, with ISTJ being significantly higher than ENFP. This study provides preliminary evidence to explore the influencing mechanisms of personality on academic performance.
Real-Life Symptoms, Difficulties, and Interventions for Adult ADHD: A Literature Review
Authors: Chen Jingying
Published: June 2024

Attention-Deficit/Hyperactivity Disorder (ADHD) is a prevalent neurobiological disorder, persisting into adulthood for approximately 5% of the global population. Adults with ADHD often grapple with a spectrum of comorbid challenges, including developmental brain impairments, learning disabilities, increased risks of traffic accidents, addiction, criminal activities, and a range of physical and mental health issues. This research article delves into the multifaceted difficulties faced by adults with ADHD and presents an extensive review of various treatment methodologies. This article critically examines the efficacy and limitations of diverse interventions, such as Cognitive-Behavioral Therapy (CBT), Dialectical Behavioral Therapy (DBT), Mindfulness-Based Cognitive Therapy (MBCT), occupational therapy, physical exercise, goal management training, and innovative digital health interventions. The analysis highlights significant improvements in core ADHD symptoms, executive functioning, emotional regulation, and essential life skills facilitated by these treatments. All findings in the related research underscore the necessity for an integrated, multidisciplinary deeper understanding in treatments and interventions for adult ADHD. This comprehensive evaluation contributes valuable insights to the evolving field of adult ADHD treatment, advocating for holistic, tailored treatment regimens that address the unique needs of this population.
Britain's Labour Party First Came to Power on Welfare Policy: Taking Housing Policy for Example
Authors: Chi Han
Published: June 2024

In 1924, the British Labour Party, which was based on the working class, first came to power. Faced with the miserable conditions of the British working class after the First World War, the British Labour Party implemented a series of social welfare policies with socialism as its goal. The most far-reaching of these was Labour's housing policy, the Wheatley Housing Act. This policy continued after the fall of Labour and into the Great Depression. This policy effectively solved the housing problem in British society at that time, alleviating the social contradictions in the UK, and setting a good example for other countries to solve the housing problem in the process of industrialization. This paper uses literature analysis to analyze the Wheatley House Act from the aspects of background, content, and function and finally comes to the conclusion that the Act increases the number of people employed in the construction industry by modifying the term of life, and provides more rental houses for the proletariat by restricting the right of homeowners to dispose of houses. This kind of policy is a good embodiment of the "social organism" social ideology of the Labour leader MacDonald in the 1920s.
A Comparison of the BS-Model, the V-Model and the G-Model in Estimating Call Option Prices
Authors: Su Boyuan
Published: June 2024

This research used Monte Carlo Simulation (MCS) to simulate stock paths, which is used in estimating the Call Option Prices for the Black Scholes-Model (BS-Model), the Vasicek-BS-Model (write the V-Model for short) and the GARCH-BS-Model (write the G-Model for short). Then, the accuracies of the three models are compared using the MSE test (MSE-test), based on the estimated Call Option Prices and the actual Call Option Prices of the three models. The results revealed that the G-Model is the most accurate model, and that V-Model doesn’t improve the BS-Model. The significance of this research is to realize that improving the interest rate component won’t improve the accuracy of the BS-Model in estimating Call Option Prices whereas improving the volatility component.
Investigate Tesla’s Financial Condition Using SWOT Analysis
Authors: Liang Hanwen
Published: June 2024

The natural environment is gradually degrading due to the fast expansion of the world's economy and technology, individuals are increasingly promoting environmental conservation and introducing electric automobiles. Tesla is the market leader in the field of electric automobiles. This essay will use the SWOT analysis to assess Tesla's operations, current state, and the hazards and risks that must be considered in the future. The major conclusion is that Tesla's greatest assets are its exceptional design and vehicle engineering. Using a single electric powertrain makes the electric car quicker and more fuel-efficient than a vehicle powered by an internal combustion engine. Tesla's vehicles' long-range and charging flexibility help to minimize consumer worry over range. This is also possible to argue that the image it produces on customers is positive. Innovation capabilities and consumer performance are also Tesla’s strengths. Tesla's weakness is that its debt grows during the fiscal year, which will have a significant influence on following operational finance and even the company's reputation. Investing in or developing electric vehicles that consume less power is an opportunity for Tesla. Furthermore, there is still a significant disparity between other brands and Tesla in the worldwide market. Tesla should take advantage of this gap and accelerate its development efforts. The threat is that when competition heats up, it will almost certainly lead to reduced market pricing, revenue shortages, client loss, and other issues. In this instance, while Tesla has significant benefits, too much rivalry will restrict Tesla's earnings growth to some extent.
Logistic and Lotka-Volterra based dynamic ecological modeling of Sea lamprey.
Authors: Zhang Jingxin , Zeng Zimo , Xiang Yukang
Published: June 2024

The parasitic sea lamprey contributed to the devastating collapse of native fish communities after invading the Great Lakes during the 1800s and early 1900s. Addressing this threat requires studying the environmental impacts of changes in sea lamprey populations. Sea lampreys become male or female depending on how quickly they grow during the larval stage, Sex affects the population status of Sea lampreys. Population status affects the environment. This paper introduces a comprehensive model, incorporating a resource consumption rate alongside Logistic growth and Lotka-Volterra competition frameworks, to elucidate the complex dynamics between Sea lampreys, their environment, and other species. Through this model, dubbed the Sea Lamprey Ecological Model, we deduce a significant increase in the male-to-female ratio under constrained environmental resources. Further analysis, integrating a sex ratio variable and human intervention factor into the Sea Lamprey Ecological Model, reveals a decrease in sex-quantity disparity, diminished competitive edge for counterparts, and heightened survival pressures for prey species. The paper culminates in a critical evaluation of the model's efficacy and areas for further research, highlighting its potential to inform sustainable management practices for mitigating the adverse biodiversity impacts of Sea lamprey invasion in the Great Lakes.
Quantitative Analysis of the Impact of Sex Ratio Bias on Ecosystems: The Case of the Sea Lamprey
Authors: Zhang Junwei , Xiong Yi , Nan Xiaolu , Wang Nan , Jiang Yi , Ju Zehan
Published: June 2024

In recent years, the widely distributed invasive parasitic species, sea lamprey, through its unique sex-influenced reproductive strategy, has had far-reaching impacts on host populations and aquatic ecosystems, highlighting the importance of species interactions in ecosystems and their importance to ecological balance. To address this, an EcoGenderDynamics model was developed to analyze the ecosystem effects of deviations in the sex ratio of sea lamprey populations. This study simulated the dynamic evolutionary pattern, as a result, the expression of the function of sex ratio and resource availability, and when the average resource availability was lower than 83% of the satiation level of each sea lamprey, the percentage of male lamprey increased significantly, gradually increasing from an initial 52% to 76.4%, and then slowly increasing and stabilizing. Also, a comprehensive assessment system was established to comprehensively evaluate the specific impact indicators of the sex ratio of the lamprey in the ecosystem. The results showed that in the case of insufficient resources, the population could improve its stability through the mechanism of adjusting the sex ratio, thus achieving a certain balance with the environment through a certain degree of showing weakness, indicating the importance of the ability to change the sex ratio for the survival of the population.
The Influence of Generative AI Technologies On Academic Writing in EFL Education
Authors: Tian Chuan
Published: June 2024

Generative Artificial Intelligence (GAI) has emerged as a power to transform academic writing courses, especially in the English-as-a-foreign-language (EFL) field, offering innovative tools and methodologies that can reshape pedagogical practices. Through a comprehensive exploration, this paper discusses the development of GAI technologies, their applications in natural language processing, and their potential to revolutionize academic writing support. The paper then examines the integration of GAI tools into EFL academic writing pedagogy, showing its benefits for both students and educators. However, the use of GAI is not without challenges. Concerns surrounding academic integrity, potential for plagiarism, data privacy, and the ethical implications of GAI tools underscore the complexities of this integration. Drawing from various studies, this paper argues that responsible advancement of GAI requires a balance between innovation and ethics. Stakeholders must consider potential implications. A measured approach is advocated for future work in related fields.
The Impact of Capital Structure on the Corporate Governance
Authors: Wang Xinyi , Wang Xinyi
Published: June 2024

The purpose of this paper is to analyze the general characteristics of capital structure and measures to optimize the capital structure of each enterprise under heavy-asset and light-asset industries, the characteristics, differences, and connections of capital structure of each enterprise underdeveloped and developing countries, as well as the similarities and differences between the capital structure of Chinese and Vietnamese enterprises. Meanwhile, it discusses the assumptions and limitations of the classical capital structure theory, the Modigliani-Miller theorem. It concludes that it is difficult for firms to have an optimal debt-to-debt ratio in the actual business environment. Therefore, no matter in different industries or markets, each enterprise should choose the capital structure that best suits its own operating characteristics, objectives, and business conditions according to the macroeconomic environment and relevant national policies, financial market environment, market demand, industry competition, and development trends, as well as its business planning, etc. This will help the enterprise improve its operating ability and ability to cope with economic risks and market changes, realize the enterprise's progress in various aspects, and ultimately benefit the long-term development and sustainable operation of the enterprise.
Impact Of “Rise of Burgher Class” On Art: Italian Renaissance Painting
Authors: Zhang Muhan
Published: June 2024

With the further development of Europe's overall economy, the seeds of capitalism began to appear, and cities also emerged. At the same time, the burgher class, the predecessor of the bourgeoisie, began to step onto the stage of history and began to transform society according to the needs of this class. The changes in the art of painting during the Italian Renaissance are closely related to the rise of the burgher class. The values advocated by the burgher class profoundly affected the painting art of this period, and the paintings also became the carrier of the new ideas of the Renaissance, then they further affected every member of society and embodied the social function of art. This article uses document analysis and work analysis methods to collect relevant historical materials and paintings, and conducts analysis based on the social background of the time, exploring the impact of the "rise of the burgher class " on art, and taking "Italian Renaissance painting art" for an example to explores the relationship between the two and clarifies that the class values advocated by the burgher class after the rise played a role in promoting the changes in the themes and connotations of paintings during this period.
Analyze the Brand Marketing Strategies on the RED Platform, including Practices and Effects in KOL Cooperation.
Authors: Xu Haijia
Published: June 2024

Nowadays in the modern world, shopping is experiencing a trend of advertising and marketing more online. Several social apps also involve marketing, and the brand started to promote themselves by gaining a reputation on those platforms with popularity as well as being acknowledged among the public. A popular way is to cooperate with those KOL. However, the effects of those strategies vary between different consumer groups. First, the background of the RED is introduced. This famous social media app RED contains several problems that affect the impacts. Second, according to the analysis, the main problems are a lack of operational capacity and information low quality and low diversity. Finally, several suggestions are given to improve the marketing strategies being used and help brand promotion be more successful, while the work of those KOL becomes more effective. The author also considered the special consumer group involved in the app RED and make matched suggestions according to this.
Artificial Intelligence Application in the Three Stages of Marketing: An In-Depth Case Study of Tesla.
Authors: Tai Junye
Published: June 2024

Driven by emerging technologies, the traditional marketing style is undergoing a profound change. Artificial Intelligence, as a cutting-edge technology, plays a crucial role in this revolution process. This study aims to understand and explore the general application of AI models in marketing activities by deeply analyzing the different types of applications of AI in the three stages of Tesla's marketing. Since the application of AI in marketing has a relatively short history, there is a lack of core literature and primary data, ambiguity of related concepts, and unclear development direction, this study draws on the three-stage framework of marketing strategic planning, including the marketing research stage, the marketing strategy stage, and the marketing action stage, and focuses mainly on the application of AI in Tesla's marketing practices based on the various AI types in these three stages respectively. Meanwhile, this study combines the theory of STP strategic analysis and deeply explores the wide application and value of AI in the real marketing environment. Therefore, this paper expects that through in-depth research and understanding of the application of AI in real marketing, it can not only advance the depth and breadth of academic research but also provide valuable insights and inspiring action guidelines for real-world enterprise marketing departments.
Artificial Intelligence and the Economy - The Impact of Artificial Intelligence on the Job Market
Authors: Shen Yingying
Published: June 2024

Because of the improvement of the performance of modern computer hardware and the continuous development of algorithms, the application of artificial intelligence is more widely used in all walks of life. In this work, the application of artificial intelligence technology in the fields of finance, medical care, industry, information, education and social life, especially in the manufacturing industry, has formed an unstoppable trend. For future careers, the arrival of artificial intelligence is also thought-provoking. In addition to bringing a lot of new jobs, but also let some low-cost, labor-intensive jobs disappear, causing great pressure on the job market, the employment threshold has significantly increased, familiar with artificial intelligence managers and experts pay much higher than manual workers, so that the income pattern of workers gradually prolonged. The arrival of AI technology has also triggered changes in the labor market, with labor market and automation technologies have largely replacing repetitive and more basic skilled workers.
Enhancing user engagement and satisfaction through personalized news recommendation systems
Authors: Zhao Wenhao
Published: June 2024

Personalized news recommendation systems have emerged as essential tools in addressing information overload by tailoring news content to individual user preferences. This paper provides a comprehensive overview of the advanced techniques employed in these systems, their impacts on user engagement, and the ethical considerations surrounding their development and implementation. We delve into the intricacies of data collection, processing, and user profiling, highlighting the methodologies and challenges inherent in each stage. Additionally, we explore advanced algorithmic foundations, including collaborative filtering, content-based filtering, and hybrid methods, elucidating their strengths and limitations. Furthermore, we examine the dynamics of user engagement within personalized news recommendation systems, analyzing key metrics and the role of user feedback in refining recommendation algorithms. Finally, we address privacy concerns, data sparsity issues, and biases, proposing solutions to mitigate ethical challenges and uphold user trust and fairness. This paper serves as a comprehensive guide for researchers, practitioners, and policymakers navigating the complexities of personalized news recommendation systems.
IFRS 18 Implementation in Brazilian Enterprises: Challenges and Opportunities
Authors: Neves Henrique De Castro
Published: June 2024

This article delves into the challenges and opportunities faced by Brazilian enterprises in adopting International Financial Reporting Standards (IFRS) 18. It examines four key areas: (i) the main proposed changes of the new standards, (ii) challenges and opportunities, (iii) legal obstacles, and (iv) feasibility of timely implementation. The discussion on challenges and opportunities underscores the need for companies to align their financial reporting practices with international standards while grappling with complexities in financial statement preparation and disclosure. Legal obstacles, particularly conflicts with the Lei das S.A. (Brazilian Corporation Law), pose significant hurdles to implementation, necessitating legislative amendments or regulatory exemptions to reconcile conflicting requirements. Feasibility of timely implementation is hindered by the prevalence of outsourced accountants in Brazil and the need to coordinate with multiple external parties. Proactive measures such as early planning and collaboration with legal experts are crucial for mitigating risks and ensuring timely compliance. Through a comprehensive exploration of these topics, this article provides valuable insights into the complexities and implications of adopting IFRS 18 in the Brazilian context, offering guidance for companies navigating the transition to international accounting standards.
Sustainability Disclosure of GRI Towards Improving The Welfare of Local Communities in Shipping Industry Companies in Surabaya
Authors: Tumbelaka Gracesheila Florencia , Ekasari Kurnia , Wahyuni Hesti
Published: June 2024

This research discusses and analyzes the Corporate Social Responsibility (CSR) programs implemented by PT PAL Indonesia (Persero) and PT Adiluhung Saranasegara Indonesia. Using a qualitative approach, this research explores the impact of CSR programs on improving the welfare of local communities. The data analysis method used is content analysis, with the research sample involving PT PAL Indonesia and PT Adiluhung Saranasegara Indonesia in Surabaya. The discussion covers aspects of education, economy, environment, and spiritual well-being. The results show that PT PAL Indonesia is holistically involved in supporting Micro, Small and Medium Enterprises (MSMEs) and the education sector with training and scholarship programs. Involvement in environmental activities and the construction of worship facilities also reflects the company's commitment to spiritual and environmental aspects. PT Adiluhung Saranasegara Indonesia, on the other hand, shows concern for health and social assistance, with the distribution of aid to vulnerable groups and victims of natural disasters. While both companies have not reported fully on GRI 300 (Environment) and GRI 400 (Social) standards, their positive contributions to the well-being of local communities remain significant. However, further steps are needed to increase transparency and comprehensiveness in CSR reporting in order to improve the effectiveness of the companies' CSR reporting.
The Influence of Digital Business Education and Perceived Usefulness on The Use of The Shopee Marketplace On The Digital Entrepreneurship Intention of University Students
Authors: Nadila Salsaufy Brillian , Pratikto Heri , Hermawan Agus
Published: June 2024

This study aims to examine the effect of Digital business on Digital entrepreneurship intention and perceived usefulness on Digital entrepreneurship intention. The type of research used in this research is quantitative research. The type of data in this study uses primary data. The analysis method used is multiple linear regression analysis using the SPSS 23 program. The population taken by researchers is undergraduate students of the Faculty of Economics and Business. The sampling technique in this study was purposive sampling, namely with predetermined criteria. Based on the purposive sampling method, 369 respondents were obtained who met the criteria. The results of hypothesis testing in this study indicate that digital business education has a positive and significant effect on digital entrepreneurship intention. Perceived usefulness has no direct effect on digital entrepreneurship intention. Shopee marketplace customers have a direct effect on Digital Entrepreneurship Intention. Digital business education has a direct effect on the Shopee marketplace. Perceived usefulness has a direct effect on the Shopee marketplace. There is a simultaneous influence of digital business education through the Shopee marketplace on digital entrepreneurship intention. There is a simultaneous influence of perceived usefulness through the Shopee marketplace on digital entrepreneurship intention
Henri Michaux et la crise du « descriptif »
Authors: Ribeiro de Lima Bruno
Published: June 2024

La lecture des « Ravagés » d’Henri Michaux nous a permis de questionner la non-évidence du dialogue entre l’art et la littérature. Les « Ravagés » est un petit recueil placé en tête d’une compilation poétique et réflexive intitulée Chemins cherchés, chemins perdus, transgressions, parue en 1981 chez Gallimard. L’ouvrage, par nature composite, rassemble cinq recueils qui sont pour chacun d’entre eux centrés sur une obsession d’Henri Michaux. « Les Ravagés » se compose de quarante fragments autour des dessins de malades mentaux. Dans chacun de ces fragments, le rapport littérature et peinture s’esquisse. Nous en ferons le centre de notre étude. Pour cela, cet article se divise en trois moments complémentaires : le dialogue mis en question, la négativité chez Michaux et, finalement, un aspect du rythme dans « Les Ravagés » comme mise en échec du discontinu du logos.
La Sainte-Victoire de Nico Orengo : l’écrivain face au peintre
Authors: Lorenzi Federica
Published: June 2024

Une des dernières oliveraies de la Ligurie risque de disparaître, détruite par la spéculation immobilière. Comment sauver cet élément essentiel du paysage ? L’art a-t-il ce pouvoir ? Nico Orengo se pose ces questions dans Gli Spiccioli di Montale. Requiem per un uliveto (La Menue Monnaie de Montale. Requiem pour une oliveraie). Orengo envisage deux solutions : la « solution Picasso », qui consiste à acheter l’oliveraie, mais il n’en a pas les moyens, et la « solution Cézanne » qui consiste à peindre l’oliveraie pour l’immortaliser. Il décide donc de faire une aquarelle. Le livre décrit ses tentatives pour réaliser une aquarelle qui soit à la hauteur de l’art de Cézanne, son modèle. Sur la trame principale du récit s’insèrent plusieurs digressions, dont une qui donne son titre à l’œuvre. Eugenio Montale avait affirmé que Cézanne n’aurait pas donné sa menue monnaie au poète-mendiant Germain Nouveau : Orengo ne croit pas à cette histoire et mène « une enquête » qui démontre qu’elle est fausse. Même s’il n’est pas arrivé à peindre sa propre Sainte-Victoire, Orengo a réussi à la raconter en donnant à l’écriture les vertus de la peinture.
Du récit au tableau : le mythe dans la littérature grecque tardive
Authors: Clo Magdeleine
Published: June 2024

Cet article s’intéresse particulièrement au phénomène de l’ekphrasis en tant que genre littéraire renouvelé dans la prose grecque tardive, bien des siècles après Homère et la première ekphrasis du bouclier d’Achille. Philostrate propose, par exemple, un ouvrage entier qui est uniquement constitué de descriptions de tableaux. C’est le premier du genre. Les premiers romans, écrits à la même période, sont aussi truffés de représentations picturales décrites et parfaitement intégrées à la narration. Nous nous interrogeons ici sur la réécriture d’un récit de mythe à travers la description qu’en font les prosateurs : comment l’image donnée à voir synthétise-t-elle un récit narratif, tandis que l’auteur redéploie cette image dans un texte d’un autre genre ? Nous remarquons ainsi que les objets présents dans les mythes nous permettent de mieux comprendre ce transfert du récit narratif au récit synthétique : c’est le passage du récit au tableau qui permet à son tour à l’auteur de faire le chemin inverse.
Être authentique : un pas vers la santé
Authors: Lo Bue Salvatore
Published: June 2024

Notre article passe en revue la littérature concernant la personnalité dite « authentique ». Trente ans de recherche sur le sujet indiquent que l’authenticité modère les effets délétères des expériences stressantes sur la santé et la performance. Notre article place l’authenticité dans une perspective bio-psycho-sociale. Nous décrivons ainsi comment l’authenticité influence les processus cognitifs, les comportements favorisant la santé, la recherche de soutien social et comment ces processus affectent à leur tour les mécanismes physiologiques. Notre article aborde les limitations auxquelles le concept d’authenticité est actuellement confronté. Enfin, nous évoquons des lignes de recherche originales et innovantes pour poursuivre les études concernant les relations entre authenticité, santé et performance humaine.
Navigating the Tensions: ESA, EU, the Geographical Return Principle, and Competitiveness in the European Ambit
Authors: Franzoso Marco
Published: June 2024

This academic paper explores the relationship between the European Space Agency (ESA) and the European Union (EU), that has been marked by perceived incompatibilities, particularly regarding the ESA’s Geographical Return Principle (GRP) and the EU’s principles of unrestricted trade in the single market. The GRP, aimed at distributing contracts based on Member States’ financial contributions, has raised concerns about restricted competition, conflicting with the EU’s objective of fostering a fair and competitive market. Frictions have also arisen concerning EU competition rules and state aid regulations. While the ESA has incorporated certain EU procurement regulations into its procedures to enhance competitiveness, reconciling the unique characteristics of the space sector and long-term projects remains essential. The compatibility between the ESA and the EU has been debated, with some highlighting exemptions in the EU treaty and the scientific nature of the ESA. However, aligning the GRP with the EU single market presents significant challenges due to conflicting principles and potential discrimination among Member States. The ESA-EU relationship continues to grapple with the tension between the GRP and the EU’s single market principles. The creation of the European Union Agency for the Space Programme (EUSPA) reflects the EU’s recognition of its lack of technical capabilities and the need to align with market-driven competitiveness. The evolving landscape suggests a potential future where a centralized EU agency oversees the European space sector, but questions about fairness and state aid remain.
PAKISTAN'S PARADIGM SHIFT FROMTRADITIONAL TO NON-TRADITIONALSECURITY: AN ANALYSIS
Authors: Awan Sajjad Hussain
Published: June 2024

Since its inception, traditional security considerations have largely driven Pakistan’s national security orientation. Traditional security focuses on military aspects of national security,addressing the domain of direct strategy. Contextually, traditional imperatives such as the Indian factor, nuclear domain and conventional dimension have been the dominant themes of the country’s national security architecture. However, the emergence of the National Security Policy in 2022 can be termed a watershed moment in itsnational security history. The document entails a paradigm shift in its security orientation. That is to say, shift from state-centric security to human-centric security. It recognizes the contemporary imperatives such as economic security, climate security, cyber space security and human resource development as thestate’stop most priorities. In this context, the paper examines Pakistan’s paradigm shift from traditional to non-traditional security as an aspired reality complemented by securitization theory and a human security approach tointernational security based on mixed methodology.
Transfer Learning for Facial Emotion Recognition on Small Datasets
Authors: Barile Paolo , Bassano Clara , Piciocchi Paolo
Published: June 2024

In the context of human interactions, complexity science (CS) provides a way to understand the dynamics that arise from the interplay of different individuals. Recently, the possibility of applying the theory of CS to computer science, has shifted the focus to the research of machine learning methods for studying human behaviors and relational dynamics. Among the various existing AI techniques, facial emotion recognition (FER) has proven to be the best-performing and easiest to use human- computer interaction (HCI) tool for emotion detection. Despite the numerous existing approaches, the task of FER is not trivial, mainly due to the absence of large enough datasets to train deep learning (DL) models. A widely used solution is transfer learning (TL), which allows a model, pre-trained on enough data, to be used for a specific task where there is much less data available. The aim of our work is to test the effectiveness of TL for FER on an extremely small dataset, to understand which parameters need to be optimised to obtain the best outcomes. The results showed an overall accuracy of 85.54% for our model and revealed the concrete possibility of applying computer science to complex systems typical of the human psyche.
SYSTEMATIC POISONING ATTACKS ON AND DEFENSES FOR MACHINE LEARNINNG TO HEALTHCARE
Authors:   Dept. of Computer Science
Published: June 2024

Machine learning is being used in a wide range of application domains to discover patterns in large datasets. increasingly, the results of machine learning drive critical decisions in applications related to healthcare and biomedicine. Such health related applications are often sensitive, and thus, any security breach would be catastrophic. Naturally, the integrity of the results computed by machine learning is of great importance. Recent research has shown that some machine-learning algorithms can become promised by augmenting their training datasets with malicious data, leading to a new class of attacks called poisoning attacks. Hindrance of a diagnosis may have life-threatening consequences and could cause distrust. On the other hand, not only false diagnosis prompt users to distrust the machine-learning algorithm and even abandon the entire system but also such a false positive classification may cause patient distress. In this paper, we present a systematic, algorithm- independent approach for mounting poisoning attacks across a wide range of machine-learning algorithms and health care datasets. The proposed attack procedure generates input data, which, when added to the training set, can either cause the results of machine learning to have targeted errors (e.g., increase the likelihood of classification into a specific class), or simply introduce arbitrary errors (incorrect classification). These attacks may be applied to both fixed and evolving datasets. They can be applied even when only statistics of the training dataset are available or, in some cases, even without access to the training dataset, although at a lower efficacy. We establish the effectiveness of the proposed attacks using a suite of six machine-learning algorithms and five healthcare datasets. Finally, we present countermeasures against the proposed generic attacks that are based on tracking and detecting deviations in various accuracy metrics, and benchmark their effectiveness. Keywords- Healthcare, machine learning, poisoning attacks, security.
A Comprehensive Literature Review on Hyperspectral Remote Sensing Techniques and Applications
Authors: Gautam Anjali S.
Published: June 2024

Hyperspectral Imaging (HSI) is an advanced analytical technique that utilizes spectroscopy to capture numerous images at various wavelengths for a given spatial area. Unlike the human eye, which can only perceive three colors (blue, green, and red), HSI measures the complete spectrum of light for each pixel in the scene with precise wavelength resolution, extending beyond the visible spectrum into the near-infrared. The data collected from this process form a hyperspectral cube, where two dimensions represent the spatial extent of the scene and the third dimension represents its spectral content. In HSI, there are three main types of spectral imagers employed: push broom scanners and related whisk broom scanners (spatial scanning), which capture images over time; band sequential scanners (spectral scanning), which acquire images of an area at different wavelengths sequentially; and snapshot hyperspectral imaging, which utilizes a staring array to generate an image instantaneously. Each material possesses a distinct spectral signature that can serve as a unique 'fingerprint' for its identification, making HSI an incredibly powerful tool for a wide range of applications in remote sensing. Keywords: hyperspectral imaging (HSI), hyperspectral cube, wavelengths, push broom scanners, spatial scanning, scattered data
Optimization of Weld Qualities in Various Welding Operations Using Advanced Computational Techniques: A Comprehensive Review
Authors:   Senior Lecturer in Mechanical Engineering
Published: June 2024

This study explores various computational methodologies for optimizing the weld-bead geometry and parameters in different welding processes. It encompasses a range of techniques, including linear progression, response surface methodology, artificial neural networks, Taguchi techniques, and genetic algorithms. The optimization of process parameters significantly impacts productivity, quality, and production costs. This review highlights the profound effects of these optimization methodologies on manufacturing processes and demonstrates their integral role in welding. Detailed insights into each method are provided, forming a robust foundation for further research and development in welding procedure optimization. Keywords: Weld Bead Geometry, Optimization Techniques, Computational Methods, Welding Processes, Neural Networks
Advancing Cloud Security with AI-Enhanced AWS Identity and Access Management
Authors: Muppa Kaushik Reddy
Published: June 2024

In today’s digital landscape, the migration to cloud platforms is accelerating, making cloud security a paramount concern. This research paper explores the integration of Artificial Intelligence (AI) with Amazon Web Services (AWS) Identity and Access Management (IAM) to enhance cloud security frameworks. Leveraging AI’s predictive capabilities alongside AWS’s robust IAM tools can significantly improve perimeter security, streamline authentication and authorization processes, and provide proactive responses to emerging threats. The paper discusses the methodology, system architecture, empirical results, and the broader implications for cloud security.
Perbandingan Persentase Brondol di Berbagai Macam Areal di Perkebunan Kelapa Sawit
Authors: Ramadhan M.Fauzan , Gunawan Sri , Tarmadja Samsuri
Published: June 2024

Palm oil productivity is influenced by many factors. One factor is crop rotation. Harvest rotation greatly influences productivity in oil palm plantations. Obstructed harvest rotation causes the number of fruit bunches to increase in an area compared to the weight of fresh fruit bunches (FFB) harvested. The percentage of brondol in oil palm plantations is very important because it will affect the average bushel weight (BJR) and payments to employees for oil palm plantation companies. The decrease in BJR due to the high percentage of brondol will also have an impact on the morale of workers, especially harvesters on oil palm plantations because the harvest base will be higher to get a harvest premium. This research aims to determine the comparison of the percentage of brondol in various areas, namely hilly, lowland and plain areas and to find out the causes of the high percentage of brondol in the treatment blocks. This research uses an agronomic trait survey method by observing secondary data on productivity and percentage of brondol in the last six years, then analyzed using the t test at a level of 5%.  This research was carried out at PT. Cahaya Nusa Gemilang (CNG) Kenanga Estate garden, Marau District, Ketapang Regency, West Kalimantan. The results of the analysis show that plain areas have the best productivity and percentage of brondol compared to lowland and hilly areas.
Amino Acid Profile Analysis of Paramphistomum Species
Authors: Gupta Sheela
Published: June 2024

This study investigates the amino acid profiles of various species of Paramphistomum, a group of parasitic flatworms known to affect livestock. By analyzing the amino acid composition, we aim to better understand the nutritional and metabolic needs of these parasites. Our findings reveal distinct amino acid profiles across different Paramphistomum species, which could have implications for developing targeted treatments and control measures. This research provides valuable insights into the biochemical characteristics of these parasites and underscores the importance of amino acid profiling in parasitology.
‘Turbulence’ in practice: How Zoom technologies affected architecture making
Authors: Yaneva Albena , Armando Alessandro
Published: June 2024

This essay offers a glimpse into the ways the COVID-19 pandemic of 2020-21 affected the day-to-day reality of architectural practice. But what exactly happened in this ‘world’ during the pandemic? Did we just witness another digital ‘turn’? If not, how exactly did the shift to online forms of working and their related technological changes redefine the creative apparatus of small-scale practices and modify their design culture? How did it alter the working space and epistemic habits, reshuffle expertise and redefine project priorities in these firms? This essay focuses on studies of the COVID experiences of a group of Italian practices, representative of what was happening all over the world in terms of architectural practice during the pandemic.
Validity of the Reverse Shock Index multiplied by the Glasgow Coma Scale score for determining mortality in patients with severe trauma in the prehospital environment
Authors: Benito Romeral Carmen María , Sarmiento Torres José Antonio , Corral Torres Ervigio , Jiménez Gallego Rosa María , Pérez Alonso Antonio
Published: June 2024

INTRODUCCIÓN. Diversas escalas tratan de determinar la mortalidad y pronóstico de los pacientes con enfermedad traumática grave (ETG). Sin embargo, éstas son de difícil aplicación en el medio prehospitalario. El Índice de Shock Reverso por Glasgow (rSIG) cuenta con evidencia que lo respalda como predictor de mortalidad en los pacientes con ETG. OBJETIVO. Evaluar si el rSIG aumenta la predicción de mortalidad en pacientes ETG en el entorno prehospitalario, con respecto a Índice de Shock (IS), IS asociado a la edad (SIA) y Revised Trauma Score (RTS). MATERIAL Y MÉTODOS. Estudio observacional retrospectivo de una cohorte de pacientes mayores de 16 años atendidos por un servicio de emergencias prehospitalario con diagnóstico de ETG, entre junio 2021 y diciembre 2023. Se calculó el AUC (área bajo la curva) para mortalidad a los 7 días del rSGI, IS, SIA y RTS. Se analizaron las AUROC de parámetros analíticos y constantes vitales. RESULTADOS. Se analizaron 619 pacientes: la media de edad de 42,1 años con un 79,8% de varones. La mortalidad global a los 7 días fue: 10,3%. Solamente rSIG (AUC 0,734, IC 95%: 0,807-0,660, p < 0,001) y RTS (AUC 0,734, IC 95%: 0,807-0,660, p < 0,001) se asociaron estadísticamente con mortalidad. El rSIG, con un punto de corte de 12,7, mostró sensibilidad del 70,3% y especificidad del 69,7% para mortalidad los primeros 7 días. CONCLUSIONES. En el medio prehospitalario, el rSIG puede ser un índice pronóstico fiable para predecir la mortalidad en ETG. Los pacientes con valor de rSIG < 12,7 podrían ser considerados inicialmente como potencialmente graves.
Diversity and species composition of harmful grasshoppers in Central Mongolia
Authors: Enkhzaya Chinbold , Altanchimeg Dorjsuren , Suvdtsetseg Chuluunbat
Published: June 2024

In this study, we aimed to determine the harmful species of grasshoppers that are distributing in the central region of Mongolia. We conducted our research at 12 different sites across 5 provinces, collecting samples entered 10 sweeps in a site of 100 m2 each were used as individuals. The study successfully determined the species composition of 25 harmful grasshoppers, and it encompassed analyses of their distribution, richness, diversity, evenness and the similarities among grasshoppers communities in 6 phytogeographical regions.
Mammalian species richness and conservation status in the Numrug Strictly Protected Area
Authors: Dovchindorj Ganbold , Ariunbold Jargalsaikhan , Terbish Kolya , Batbold Gal-Ochir , Ariunjargal Gerelkhuu , Lkhagvasuren Davaa
Published: June 2024

The Numrug Strictly Protected Area (SPA) in eastern Mongolia serves as a unique ecological region, encompassing diverse landscapes from medium-low mountains to forests, meadows, and steppes. It was established in 1992, with subsequent expansion in 2019 to preserve the Khingan ecosystem and Manchuria's rich biodiversity. A total of 57 mammal species belonging to seven orders were identified in Numrug SPA, representing 39.3% of Mongolia's recorded mammal species after its expansion of 1.8 more in territory size and increases in habitats. Notably, 15 of these species hold regional and international endangered statuses, emphasizing the ecological significance of the area. The analysis reveals that river valleys and mountain steppes as key habitats to mammal diversity and warrants possible new species or registration in the species richness of Chiroptera and Rodentia in further.