bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluating the Impact of a Sino-Portuguese Exchange Programme on Portuguese-major Students Personal Development in Chinese Higher Education
Authors: Wang Yaling
Published: May 2024

This dissertation investigates the impact of a Sino-Portuguese exchange program on the personal development of Chinese undergraduate students majoring in Portuguese who have participated in the programme for a semester or a year. Generally, students aim to enhance language proficiency, expand cultural perspectives, and establish new social networks during exchange study. However, the topic of what specific activities during exchange study made the students more competent was less discussed. Therefore, to better understand the role of exchange experiences, the research adopts a qualitative approach grounded in interpretivism, utilizing semi-structured voice interviews with seven participants. and the thematic analysis is adopted to process the interview transcripts, the findings demonstrate overall positive attitudes toward the program. Notably, socio-cultural immersion significantly improved exchange students oral expression, increased social resilience, enhanced independence, and greater cultural awareness. This study offers insights into Chinese students' international exchange experiences in higher education and it can probably contribute to improving the design, operation, and management of exchange programs.
The Influence of the Language Used in the Lyrics on How People Perceive the Emotions in Music
Authors: Liang Yutong , Lin Zixin
Published: May 2024

According to the existing research, the part of the brain in charge of language is also linked with musical functions. Besides, it is not a secret that music can influence language development in the human brain. However, there is seldom research on how language can influence the processing of musics. Here, research is designed to measure how the presence of language can alter the perception of music and, specifically, how lyrics (language) can affect how people perceive the emotions in the music. The scores given by the participants about how strong the emotions perceived (including positive to negative ones) in the music will be the operational definition.
Inequality of RightsHow Discrimination Against Sexuality Affect Economic Growth in China
Authors: Wu Yuxuan
Published: May 2024

This article delves into the economic implications arising from discrimination based on sexual orientation in China, a country with an estimated 70 million individuals who identify as lesbian, gay, bisexual, or transgender (LGBT). Despite substantial advancements in social and economic spheres, China still grapples with inequality and discrimination against the LGBT community. This discrimination takes various forms, including exclusion, bullying, and harassment, and not only violates fundamental human rights but also has the potential to undermine sustainable economic growth. The article analyzes the possible economic impact of this significant LGBT demographic by examining its effects on individuals, businesses, and society as a whole. It sheds light on the adverse consequences of such discrimination on diverse groups within Chinese society and considers how this collective impact could impede China's progress in terms of economic development. By recognizing the complex relationship between inequality in rights and economic advancement, this article highlights the critical need to foster an inclusive and prosperous future that benefits all segments of Chinese society.
How Family Environment Affects Students' Academic Performance
Authors: Luo Beier
Published: May 2024

Often within a school, students' academic performance always appears different. Some students do well on the exam and get high scores, but some students struggle. It has been proved that the academic performance of students is not only related to how they work at school, but also strongly relevant to factors outside school, and this can be related to many factors, for example, the IQ of students, the hard work of students at home and the environments of their family, etc. This article mainly discusses how the family environment of students impacts their academic performance. In this paper family environment has been divided into four parts: parental educational level, family income, family structure of students, and parental involvement. The paper is trying to discover do these four parts of family are related to students' study achievement. This paper searches many previous researches to support the idea. After reading and analyzing the resources, the conclusion can be that: the four parts of family environment have a certain relationship with students' academic achievement and influence from different aspects.
The Influence of Facial Feature Similarity on Preference under Different Gender
Authors: Niu Xiaoxuan
Published: May 2024

Many human beings spend mountains of time in their life in order to search for how to be liked by others and many might be confused about how to be liked. However, according to scientific study, it can be claimed that peoples preference, love or like in another word, has its own rules and principles. What this paper want to discuss is that a critical amount of study done by social psychologists showed that people would be attracted by those who have similarity with them, including cultural background, childhood experience, habits and customs, and facial features. Among all these factors, facial feature similarity out to be one that deserves discussion. What is the difference between male and female when they are choosing a partner or children that they like? The answer may vary according to different groups of scientists. For instance, some may state that gender does not make a difference to similar facial feature preference because that ought to be some common traits whole human society have, something hidden behind out culture or DNA. On the other side of the coin, a part of people might hold the opinion that males' choice of preference can distinguish from women because different sex is affected by social norms and cultural background differently. In this article, the opinion is that males are more likely to be influenced by similar facial features when having preferences.
Unity-based Chinese Digital Education Game: Journey to Cultural Relics of Ancient China
Authors: Zhang Jinman
Published: May 2024

This project is the study of a digital educational game primarily designed to aid foreigners in the process of learning Chinese characters and Chinese culture. The game was created to be three-dimensional, incorporating semi-realistic traditional Chinese art-style illustrations. In addition to the incorporated card memory game, designed to help memorize Chinese characters, there are also elements used to introduce the culture and history of China's four great inventions, assimilating them into four task-setting mini-games. Through this method, players can deepen their impression of Chinese culture by playing mini-games. The game was developed based on the Unity development platform, utilizing Maya for modeling, Substance Painter for textures, employing PS and Proceate for material painting, and interface design. From the interview results of the user test, the game has achieved the purpose of helping players learn Chinese characters, understand Chinese culture, and increase their interest in China.
Study on the Status quo of Mental Health Education for 12th Grade Students
Authors: Zhuo Xinyue , Ren Yijun
Published: May 2024

The adolescent period is a critical stage for children's rapid physical and mental growth and self-awareness development, which is prone to various psychological and emotional problems. According to the Report on the Development of China's National Mental Health (2019-2020), the detection rate of depression among adolescents in 2020 was 24.6 percent, of which 7.4 percent were severely depressed. In addition, depression increases with grade level, with more than 10 percent of high school students suffering from severe depression. It is not difficult to see that the mental health of teenagers is not optimistic. In order to explore the influence of family and school education on the mental health of high school students, I will design a group of classified questionnaires for senior high school students. My expected goal was to conclude that students who received positive help from their families and teachers were psychologically healthier than those who did not.
Social, Celebrity, and Appearance Anxiety in Adolescent
Authors: Xia Minhang
Published: May 2024

This review paper delves into the intricate nexus between social media, celebrity culture, and the growing instances of appearance anxiety among adolescents. The rapid proliferation of social media platforms and the consequent rise in celebrity idolization has reshaped the way adolescents perceive beauty standards and their own self-worth. This dissertation seeks to synthesize extant literature on the subject, investigating how exposure to celebrity-driven content on social media platforms contributes to or exacerbates appearance anxiety among this vulnerable demographic. Results indicate a strong correlation between frequent interaction with celebrity content and heightened levels of self-consciousness and appearance anxiety among adolescents. This is particularly prevalent in scenarios where idealized and often unattainable beauty standards are perpetuated. This research has many implications: it highlights the need for interventions in digital media consumption, helps parents and educators understand the challenges of the digital age, and advocates for social media companies to take accountability and take action to lessen the harmful effects of celebrity culture. By highlighting these concerns, the study emphasizes the imperative to foster a healthier digital environment for the well-being of adolescents.
The Correlation Between Education and Income Inequality
Authors: Tian Qiming
Published: May 2024

This paper analyzes the dynamics of wealth and education inequality in the world. This topic is very useful for the current economic situation. Meanwhile, the economic circle has different views on this issue by searching different literature. Each paper comes up with a different result and a different conclusion based on a different way of calculating economic inequality, and most scholars are divided into two groups, those who think they are strongly related and those who think they are not deeply related. These papers use some special calculations to calculate economic inequality. After analyzing the experimental process and results, it was found this issue and came up with personal views. In opinion, education does have a great impact on the economic situation of the middle class, but for the richest group of people, education has little impact on them. However, this research result still has some defects, so researchers need to consult more pieces of literature and obtain more data to obtain a more accurate result, which would greatly improve the level of economic inequality and extreme poverty in the world.
Possible Ways to Help Raise China's Fertility Rate
Authors: Lyu Pinjiao
Published: May 2024

This paper explores the reasons why the current problem of fertility reduction in China is mainly due to the unclear future family planning of women and young people and the incomplete inclusion of the responsibility of raising children in their future planning. By comparing the three types of countries in the world - backward countries, developing countries and developed countries - as "three small islands" and comparing the welfare they provide to their citizens, as well as their demands for different productive forces and human resources, we gradually determine the orientation of China and its future development direction. Finally, by citing and learning from the fertility policies of Japan and South Korea, the article gives several feasible plans to help China raise its fertility rate. With mild encouragement and some financial support, young families can be helped to settle down in their plans to start a family.
Towards a World of Peace and Development: Expansion and Inclusion
Authors: Pan Haoyang , Wu Yuchen
Published: May 2024

This paper analyzes the problems existing in the current UN Security Council mechanism: the mechanism is rigid, the binding force is limited, and the representative is lacking. The authors propose corresponding reforms to better constrain the use of force between states: increase the membership of the Security Council within the existing framework, create new permanent seats, and devolve some of the Council's powers to UN trusteeship bodies. As the topic of our paper says: "Expansion and inclusion" is the core of the whole article and the value we want to convey. After combining the innovative membership expansion proposals put forward by regional powers such as Germany, Italy, Japan and India, we put forward a new set of proposals with our own views. Based on the legal provisions put forward by these countries, we add a point of view: We will give full play to the functions of the Trusteeship Council so that this body will no longer be idle. The successful implementation of these ideas will do more good than harm for countries to restrain the use of force. Countries will be more effectively restrained in the use of force, and the tragedies of Ukraine and Syria will not be repeated again. In the context of globalization, the effective implementation of these proposals will lead the world to peace and development.
The Impacts of Social Media on Changing Mass Attitudes Towards Asian Hate in the U.S. During the COVID-19 Outbreak in the U.S.
Authors: Huang Shiyun , Li Yuguo
Published: May 2024

In this study, our primary research focus was on analyzing the changes in anti-Asian sentiment within the United States during the mid-to-late stages of the outbreak. The authors conducted a critical examination of the context surrounding the 2019 outbreak to explore its correlation with the escalation of anti-Asian sentiment in the United States. First, it is found that historical perceptions, such as the Native American concept of "yellow peril" stemming from the Opium War and the notion of "white privilege" within the mindset of white individuals, could have contributed to the emergence of the anti-Asian phenomenon. Furthermore, the discourse that unfolded on the Internet in response to the COVID-19 pandemic resulted in changes in native Americans perceptions of Asian hate. Our research identified a noticeable surge in racially motivated hate crimes during the pandemic, as indicated by publicly available data. These incidents were predominantly characterized by instances of physical violence and harassment. Asian hatred has seriously disrupted the daily lives of Asian residents in the U.S. This phenomenon may have arisen from the general belief among most Americans that the pandemic originated in Asia, coupled with long-standing tendencies to view Asians as outsiders irrespective of their duration of residence in the U.S. To address these issues, our study aims to compare trends in anti-Asian sentiment before and after the epidemic by analyzing Twitter data from both periods. The authors also conducted a comparative analysis of relevant literature and books to formulate hypotheses explaining the variations in Americans' attitudes toward anti-Asian sentiments across the two timeframes. Ultimately, our goal is to advocate for the cessation of such unequal behavior and the establishment of equality for all.
The Review of CEO Gender: Based on the Perspective of Empirical Literature
Authors: Zhang Boyu
Published: May 2024

In China, the CEO position is still dominated by men in traditional companies. However, in some emerging industries and the Internet field, there are gradually increasing numbers of female CEOs and the rise of female leadership. In the international community, male CEOs still dominate, and female CEOs are showing a gradually changing trend. CEO gender promotes economic diversity in economic construction, which helps companies better respond to market competition and changes and promotes the economic construction of enterprises. For technology, CEO gender drives innovation and problem-solving, and gender diversity encourages different ways of thinking and problem-solving, which is crucial for innovation and technological progress. At the social level, the promotion of gender diversity can help reduce gender discrimination and promote a more equal and inclusive society. All in all, the theoretical significance of CEO gender in economic construction, technological progress, and social development is to promote diversity and inclusion and create a more competitive, innovative, and just social and business environment. In practice, companies and governments should proactively take steps to ensure that more women have the opportunity to serve as CEOs and other senior leadership positions to fully leverage the advantages of gender diversity.
Infrastructure and Human Capital Investment in Madagascar
Authors: Guo Yuchen
Published: May 2024

Madagascar, an island country that separated from mainland Africa 80 million years ago, has inherent advantages that potentially allow it to develop a tourism industry that could lead the country out of poverty. However, due to reasons such as political instability or difficulty during implementation, Madagascar has yet to improve its economic conditions. This work puts forth an implementable set of actions, mainly composed of investment in infrastructure and human capital around Andasibe-Mantadia National Park, that may improve Madagascars current economic situation. Although many difficulties during implementation can be predicted, it is believed that Madagascars unique biodiversity, especially in Andasibe, could create significant changes. By comparing Andasibes situation with other East African countries national parks, this work attempts to prove how this investment may lead Madagascar to develop a strong tourism industry, leading the whole country to take another step towards industrialization.
Analisis Hukum Dagang terhadap Kebijakan Pajak Perdagangan Elektronik Pasca Pandemi Corona Virus Disease (Covid-19) di Indonesia
Authors: Nandarista Cahya , Sutrisno Sutrisno
Published: May 2024

Dengan adanya sistem perdagangan secara online atau e-commerce di Indonesia, masyarakat lebih mudah dalam meletakkan transaksi jual beli untuk memenuhi kebutuhan hidup, baik untuk pelaku usaha kecil, menengah atau pun perusahaan besar. Penelitian ini merupakan penelitian yang bersifat kualitatif yang menggunakan metode penelitian deskriptif. Dengan menggunakan metode kualitatif deskriptif tersebut, data yang telah dikumpulkan kemudian akan disusun, dijelaskan, dan selanjutnya akan dianalisis secara komprehensif dan mendalam. Hasil pembahasan ialah penerapan regulasi terkait dengan penetapan pajak, masih saja diatur di dalam PP Nomor 8 Tahun 2019 yang mengatur terkait dengan Perdagangan Melalui Sistem Elektronik. Sehingga, dalam memaksimalkan adanya penerapan penerimaan pajak negara dari adanya suatu transaksi e-commerce atau peragangan elektronik tersebut maka diperlukan adanya regulasi yang tidak secara luas namun secara khusus mengatur hanya pada hal transaksi online dan suatu sistem pengawas yang baik guna pendapatan kas negara atau pajak tersebut dari adanya transaksi online dapat ter-collect dengan baik dan maksimal dan tidak merugikan baik dari pihak manapun.
Pandangan Generasi Z terhadap Pengaruh Agama dalam Kehidupan
Authors: Benny Benny
Published: May 2024

Penelitian ini bertujuan untuk mengeksplorasi pengaruh agama terhadap motivasi belajar, semangat, kegigihan, dan sikap belajar mahasiswa Gen Z. Responden dalam penelitian ini terdiri dari 211 mahasiswa perguruan tinggi swasta berusia 17-23 tahun. Metode penelitian ini menggunakan pendekatan kualitatif. Pengumpulan data dilakukan melalui kuesioner, dan analisis dilakukan menggunakan statistik deskriptif. Hasil penelitian menunjukkan bahwa sebanyak 127 (61%) mahasiswa menyatakan bahwa keinginan mereka untuk belajar hal-hal baru meningkat karena pengaruh agama. Sebanyak 124 (59%) mahasiswa merasa agama membuat mereka lebih gigih dalam menjalani hidup, sementara 87 (41%) mahasiswa tidak melihat adanya hubungan antara agama dan kegigihan dalam hidup. Spiritualitas juga dinilai dapat memberikan semangat dalam kehidupan, seperti yang dinyatakan oleh 129 responden (61%), namun hanya 82 (39%) mahasiswa yang tidak melihat hubungan antara semangat dan agama. Hanya 94 (44.5%) mahasiswa menganggap bahwa agama memberikan motivasi dalam belajar, sementara 117 (55.5%) tidak melihat adanya hubungan antara agama dan motivasi belajar. Dari penelitian ini dapat disimpulkan bahwa agama terutama berpengaruh terhadap semangat, keinginan untuk belajar, dan kegigihan seseorang. Namun, motivasi belajar tidak sepenuhnya dipengaruhi oleh agama. Jika dibandingkan dengan pemeluk agama lainnya, mayoritas responden yang beragama Islam sangat setuju bahwa agama yang dianutnya mendorong mereka untuk memiliki rasa ingin tahu yang kuat, kegigihan dalam menjalani kehidupan, dan semangat dalam hidupnya.
Bilişim Felsefesi Bağlamında Bilişim Etiği ve Güncel Tartışmalar
Authors: Kantar Nesibe
Published: May 2024

Bilgi, malumat/bilişim dahil olmak üzere her türlü görsel, işitsel ve metin verilerinin bilişim teknolojileri aracılığıyla işlenmesini, hesaplamalı akıllı teknolojilerin temel kavramlarını, ilkelerini, değerlerini inceleyen bilişim etiği, çağdaş felsefede bilişim felsefesinin aksiyoloji alanı ile ilgidir. Bilişim felsefesi bağlamında bilişim etiği ve tartışmalı konuları ele alan bu makale, bilişim teknolojilerinin geliştirilmesinde, kullanımında ve insan-makine etkileşiminde neşet eden etik sorunları incelemektedir. Makalede, evvela bilişim etiğinin arka planını oluşturan bilişim devrimine ve etkilerine açıklık getirilmektedir. İkinci olarak, bilişim etiğinin tanımı ve sınıflandırılmasına yer verilmektedir. Üçüncü olarak tartışmalı etik konuların süreç içindeki evrimini ortaya koymak adına bilişim etiğinin bir disiplin olarak ortaya çıkışı tarihsel kronoloji içinde açıklanmaktadır. Son olarak, bilişim etiği konularının başında gelen fikri mülkiyet, mahremiyet, ağ oluşturma, anonimlik, siber zorbalık, güvenlik, yapay zekâ etiği, manipülasyon, antropomorfizm sorunu, internet etiği, bilgisayar oyunları ve etik konularına yer verilmektedir. Bilişim teknolojilerinin sosyal ve ekonomik yaşam, kültür alanlarına entegre olması, insanın anlamlı bir hayat yaşaması için aksiyolojik edinimlere olan ihtiyacı arttırmıştır. Bireysel- toplumsal, ekonomik ve değerler yaşantımıza etkilerini anlamak için bilişim felsefesi ve etiği çalışmalarını daha fazla gündeme getirmek büyük bir öneme sahiptir. Bu nedenle bilişim felsefesi ve bilişim etiği vurgusu ile okuyucunun bilişim etiği konuları hakkında genel bir anlayışa sahip olması amaçlamaktadır.
Performance Evaluation of Decision Trees with Machine Learning Algorithm
Authors:   Datta Meghe College of Engineering Navi-Mumbai, India, Babar Kiran Nitin
Published: May 2024

Decision tree learning is a supervised learning approach used in statistics, data mining and machine learning. Decision trees are considered to be one of the most popular approaches for representing classifiers. Researchers from various disciplines such as statistics, machine learning, pattern recognition and Data Mining have dealt with the issue of growing a decision tree from available data. Decision trees in machine learning will be used for classification problems, to categorize objects to gain an understanding of similar features. Decision trees helps in decision-making by representing complex choices in a hierarchical structure. Every node in decision tree verifies specific attributes, guiding decisions based on different data values in the dataset. Leaf nodes provide final outcomes and result which gives a clear and interpretable path for decision analysis in machine learning. Therefore implementation of Decision tree algorithm using python is presented in this paper Keywords— Decision Trees, Classification. Machine learning, statistics, regression
Exploring and Analyzing a Hybrid PAPR Reduction Method for OFDM Optimization
Authors:   Galgotias University, Tripath Atul
Published: May 2024

Orthogonal Frequency Division Multiplexing (OFDM) is a effective modulation technique widely used in modern communication systems, including 5G and wireless networks because of its high spectral efficiency and robustness towards multipath fading. However, OFDM signals are characterized by a high Peak-to-Average Power Ratio (PAPR), which can severely impact the power efficiency and operational cost of these systems. This research investigates and analyse effectiveness of two conventional PAPR reduction methods that is Selective Mapping (SLM), and Partial Transmit Sequence (PTS) with incorporating their approach of PAPR reduction to develop a hybrid variant: SLM-PTS. This study utilized MATLAB simulations to implement and test each PAPR reduction technique on a standard OFDM system model. Parameters such as the number of subcarriers, oversampling factor, and modulation types were systematically varied to analyze the impact on PAPR, BER, and computational complexity. The effectiveness of each technique was measured using the Complementary Cumulative Distribution Function (CCDF) of PAPR values and BER performance under different channel conditions. Key findings reveal that hybrid techniques, particularly SLM & PTS, offer significant improvements in PAPR reduction compared to traditional methods alone, without a corresponding increase in BER or computational overhead. The research underscores the potential of hybrid PAPR reduction techniques to significantly enhance the efficiency and reliability of OFDM systems. These findings have important implications for the design and optimization of next-generation wireless communication systems, suggesting that hybrid approaches can provide a balanced solution to the longstanding issue of PAPR in OFDM transmissions. This study contributes valuable insights into the practical application of combined PAPR reduction strategies, offering a pathway toward more power-efficient and robust OFDM technologies. Keywords : OFDM, PAPR, CCDF, SLM and PTS
A Review on Utilization of Plastic Waste as Aggregate in Construction Materials
Authors:   Department of Civil Engineering Rama University Kanpur UP, Swaroop Balvant
Published: May 2024

In a construction material in a modern construction if we look the major component includes concrete and steel reinforcement. However, in recent studies it showed the replacement of steel bars by the different material like bamboo etc. and in concrete there is fiber, red mud and fly ash is been deployed as the replacement for the binding material say cement.In today’s scenario the utilization of plastic in day-to-day life is showed the substantial growth but the associated problem with the plastic is their environmental impact as they cannot get easily decomposed. So, if we utilize this plastic waste in a construction works as a construction materialmay lead to the significant reduction in its waste foot print. In recent literature, significant strides have been made in the development of concrete mixtures that integrate plastic waste as a partial substitute for traditional aggregates during the concrete manufacturing process. Some recent studies show that it can be used construction industry due to some of its properties like inert behaviour, resistance to degradation etc. Also, use of waste plastic can help in reducing plastic waste. This emerging trend reflects a broader commitment to sustainability, aiming to mitigate plastic pollution while fostering environmentally conscious construction practices.
IOT based Railway Crossing Gate Status detection and Security Code Generation System based on ESP8266
Authors:   U.G. Students, Department of Mechanical Engineering, K.D.K. College of Engineering, Nagpur, Shahare Utsav
Published: May 2024

In rapidly developing nations like India, the railway system plays a pivotal role in facilitating transportation for the population. However, the safety of level crossing gates within this extensive railway network is of utmost importance and requires careful consideration. Unfortunately, due to human oversight, a significant number of accidents occur daily at these junctures, prompting a pressing need for technological interventions to address this issue. This study delves into two key approaches: firstly, the automation of railway gate operations at level crossings to streamline closure processes and reduce human involvement. A practical demonstration of this concept is showcased through a scaled-down model, which effectively tackles the challenge at hand. In this model, strategically positioned sensors near the level crossing gates detect approaching trains at a predetermined distance from the railway track. Subsequently, these proximity sensors relay signal pulses to a controller situated at the level crossing site, triggering motor activation for automated gate closure and opening. Secondly, the focus shifts towards monitoring the status of the crossing gates. Instances occur where gatekeepers unintentionally overlook gate closure and fail to communicate the security code to the station master, potentially leading to accidents. To address this issue, a system is proposed to generate the security code upon detecting the status of the railway gate, utilizing microcontrollers, LCD displays, and proximity sensors. Key Words: Railway Gate, Sensors, Microcontroller, IOT
BLOOD BANK MANAGEMENT STSTEM
Authors:   Assistant Professor, Department Of CSE  Department Of Computer Science and Engineering  IIMT College Of Engineering, Choudhary, Aniket
Published: May 2024

The Blood Bank Management System (BBMS) is a comprehensive software solution designed to streamline and automate the operations of blood banks and transfusion centers. This system provides a centralized platform for managing blood inventory, donor information, blood testing, and distribution processes, thereby enhancing operational efficiency and ensuring timely access to safe blood products for patients.
A BLOCKCHAIN FRAMEWORK FOR SMART AND CYBER-RESILIENT CITIES
Authors:   Department of CSE, Assistant Professor, Dhanalakshmi Srinivasan Engineering College, Perambalur, SR Mrs.SOWMIYA
Published: May 2024

The transition of urban environments into smart cities brings forth unprecedented challenges and vulnerabilities in the face of cyber threats. In response, this study presents a pioneering Blockchain Framework tailored to fortify smart cities against evolving cyber risks. Embracing decentralization and immutability inherent in blockchain technology, the framework addresses the shortcomings of centralized systems, thereby enhancing security and resilience. The primary objective of the framework is to in still trust, mitigate cyber risks, and ensure uninterrupted services within the dynamic urban landscape. By leveraging blockchain's distributed ledger capabilities, the framework establishes a robust foundation for securely managing and validating critical urban data and transactions. Furthermore, its decentralized architecture minimizes single points of failure, reducing the susceptibility of smart city infrastructures to malicious attacks and disruptions. This innovative approach represents a significant stride towards the development of cyber-resilient infrastructures for smart cities, safeguarding against potential threats and vulnerabilities. By fostering trust, bolstering security measures, and promoting continuity of services, the Blockchain Framework serves as a cornerstone in fortifying the resilience of modern urban environments amidst the rapid pace of technological advancement and urbanization. Keywords: Mitigate Cyber Risks , Blockchain Framework , Smart cities , Dynamic urban landscape
Leveraging Artificial Intelligence for Crime Detection and Prevention
Authors:   Department of Computer Science Bachelor of Technology  KALINGA UNIVERSITY, ATAL NAGAR (C.G.), India, Kahla Louis Zvikomborero
Published: May 2024

This paper sheds light on how Artificial Intelligence (AI) is reshaping the landscape of crime detection and prevention, bringing about a significant change in traditional law enforcement methods. With society increasingly embracing AI-driven solutions, it's crucial to understand how they contribute to public safety. We'll dive into various aspects of AI, such as predictive policing, video surveillance analysis, forensic science, and criminal profiling, to see how they enhance law enforcement capabilities and streamline crime resolution processes.Starting with predictive policing, AI algorithms sift through massive datasets to identify patterns and predict future criminal activity, empowering law enforcement to take proactive measures. Similarly, AI-powered video surveillance systems enhance real-time monitoring and anomaly detection, allowing for quick identification of suspicious behavior in urban environments.Moving on, we'll explore AI's impact on forensic analysis, where it expedites processes like DNA sequencing, fingerprint recognition, and ballistics analysis, speeding up the resolution of cold cases. Additionally, we'll delve into AI's role in criminal profiling, highlighting its ability to decipher behavioral patterns and predict criminal motivations, though ethical considerations remain paramount.We'll also address ethical concerns surrounding AI deployment in law enforcement, including privacy issues and algorithmic biases. Emphasizing the need for transparency and accountability, we advocate for responsible use of AI-powered crime detection systems to uphold ethical standards and protect individual rights.
ENHANCING POWER SYSTEM SECURITY THROUGH RESILIENT FREQUENCY REGULATION IN THE FACE OF HYBRID CYBER-ATTACKS
Authors:   Department of CSE, Assistant Professor, Dhanalakshmi Srinivasan Engineering College (Autonomous), Perambalur, K Aswin
Published: May 2024

The growing reliance on modern communication technologies in power systems for Frequency Regulation (FR) introduces vulnerabilities to cyberattacks, posing significant threats to system stability and reliability. These attacks can disrupt the coordination among various components, such as sensors, control centers, and actuators, thereby compromising the integrity of FR analysis. In response, this article proposes a resilient solution in the form of a deep-learning-based Attack Detection and Mitigation system. By integrating advanced AI techniques, this system aims to fortify the security of FR operations within the cyber-physical framework, swiftly identifying and neutralizing cyber threats. Ultimately, this approach ensures the continuous and reliable operation of power systems, mitigating the risks posed by hybrid cyberattacks and safeguarding critical infrastructure. The proposed system represents a proactive approach to mitigating the escalating risks associated with cyberattacks targeting FR in power systems. Through its deep-learning algorithms, the system can dynamically adapt to emerging threats, enhancing the resilience of FR analysis against malicious intrusions. By bolstering security measures within the cyber-physical model, the system minimizes the potential impact of cyberattacks on power system stability and reliability. Moreover, its ability to detect and mitigate threats in real-time ensures uninterrupted operation, thereby safeguarding the functionality of power systems even amidst the evolving landscape of hybrid cyber threats. This resilient solution represents a crucial step towards fortifying power system security and maintaining essential services in the face of adversarial cyber activities. Keywords: Attack detection and mitigation (ADM) system, Frequency Regulation(FR), hybrid power system, Renewable Energy Sources (RESs), resiliency.
LawBot : From Documents to Answers, Unveiling A New Era In Real Estate Legal Assistance
Authors:   Akurdi, Pune, India, Pagar Surbhi
Published: May 2024

In an era of technological advancement, the real estate sector is poised for a transformative leap with the introduction of an AI-powered chatbot that integrates LangChain technology and machine learning. The proposed method aims to redefine user experiences by providing comprehensive insights into land property, evaluating PDF documents, and offering invaluable guidance on real estate law. The core objectives of this endeavor are twofold : to enhance user trust and to optimize profitability within the real estate industry. Leveraging cutting-edge AI capabilities, our chatbot promises precision in legal knowledge and personalized interactions using Large Language Models (LLMS) and NLP driven approaches, ultimately reshaping the way individuals and businesses navigate the real estate landscape. Keywords - LangChain, AI, Chatbot, Real Estate, Large Language Models, NLP.
Development of Smart Fire Safety System for Vehicles Using IOT
Authors:   Student, Department of Electronics and Telecommunication Engineering, Wainganga College of Engineering & Management, Nagpur., Ambade Manjutai B.
Published: May 2024

Today, fire accidents often occur in homes and industrial environments, where climate change and human negligence can be predicted. The proposed prototype is designed to detect such fire accidents and remotely extinguish the fire from the user, thus reducing the risk to firefighters. The main idea of ​​this concept is to propose a model that focuses on the cost-effective design and implementation of an automatic fire protection system for electric vehicles. In this system, the fire extinguisher is activated when it detects flame/smoke in the vehicle fire area and extinguishes the fire automatically. There are many reasons for an electric vehicle that can cause fire accidents. The main cause of electric car fires is the battery used in them. There have been many cases of cars catching fire for the reasons mentioned above and ending with the entire vehicle reduced to ashes. The installation of an automatic extinguishing system allows to minimize the financial losses that can arise from a fire and to increase the safety level of the vehicle, passengers and other road users. Keywords : Fire Situation, Controller, Emergency Alert, Accident Prevention, IOT Technology etc.
Evolution of Grand Prix
Authors:   Student. Amity School of Architecture and Planning. Amity University Chhattisgarh, India, Biswas Joyeeta
Published: May 2024

Grand Prix is a Circuit where different types of Motorsport racing held in which Formula One car racing is the highest class of take automatic racing sanction by the (FIA). In Grand Prix series of races held annually in different countries around the world. Each race is held on a specifically designed racetrack and consist of multiple laps around the track. This paper speaks on the evolution of Grand Prix over the 70 years of its history in architectural aspects and its future prospect and compare between the temporary spaces and the permanent built spaces and its circulation around the circuit. KEYWORDS- Circulation, Formula 1, History, Temporary spaces, Permanent spaces
Analyzing the Economic Impact of Airport Expansion Projects on Local Communities
Authors:   NIMS University, Jaipur, Choudhary, Tushar
Published: May 2024

Airport expansion projects have significant economic implications for local communities, ranging from job creation and increased tourism to enhanced infrastructure and property development. However, the economic impact of such projects is complex and multifaceted, influenced by factors such as location, scale, and community characteristics. This research paper examines the economic effects of airport expansion on local communities, drawing on empirical evidence and case studies to explore the opportunities and challenges associated with these projects. By analyzing various dimensions of economic impact, including employment, tourism, and infrastructure development, this paper aims to provide insights for policymakers, urban planners, and community stakeholders engaged in airport expansion initiatives.
The Swiss Association as a Legal Wrapper for a Global DAO and vis-à-vis the MiCA Regime
Authors: Hostettler Marcel , Wojtowicz Piotr
Published: May 2024

The Swiss Association as a Legal Wrapper for a Global DAO and vis-à-vis the MiCA Regime

The article explores the utilization of decentralized autonomous organizations (DAOs) and the legal framework of Swiss associations as a possible legal wrapper – particularly for globally operating DAOs. All against the backdrop of a steadily growing regulation to the likes of the EU’s MiCA framework.

The discussion encompasses the essential characteristics of DAOs, emphasizing their decentralized nature, shared purpose, autonomy, and predefined rules.

The article highlights the legal complexities around DAOs. Considering many DAOs operating without a deliberately chosen legal structure, the argument is made that even though DAOs might be set up with the idea to not be regulated at law, the contrary might be the case. Legal concepts to the effect of ‘joint ventures’ or ‘simple partnership’ may lead to the inadvertent formation of legal entities. Thus, legal risks may very likely loom over participants of DAOs whether they may desire that outcome or not.

The article emphasizes liability as a driving force behind the need of a quest for legal wrappers. To mitigate unintended liabilities, selected solutions are being proposed. The text discusses further benefits of a legal wrapper. The argument is made that DAOs should deliberately chose a legal wrapper mirroring their nature and fitting their needs.

The discussion then turns to the Swiss association as an attractive choice for globally operating DAOs. The autonomy granted to Swiss associations under Swiss Law providing for freedom, self-governance, and flexibility mirror the nature of a DAO. The features of the Swiss association and its benefits as a legal wrapper for DAOs are then being scrutinized. The text posits the establishment of a Swiss association as a solution to limit liability for DAOs participants. Ultimately, the Swiss association is presented as a wrapper offering not only liability protection but also additional benefits for DAOs, which are further explored.
Investigating of Protozoa Parasites in Some Fish Species in Tigris River-Salah Al-Din Governorate
Authors: Jasim Al-Shaima M. , Abdullah Abdullah H. , Khlaf Waser Saad
Published: May 2024

The currently study was achieved from February 2021 to end January 2022 in order to investigate the external and intestinal parasites in some fish species of Tigris River passing Tikrit city.   During the period of this study, 580 fish were collected that belonged to 8 species including Acanthobrama marmid, Alburnus sellal, Chondrostoma regium, Cyprinion kais, Cyprinius carpio, Leuciscus vorax, Mystus pelusius, and Planiliza abu. Also, it involves 6 species of protozoa as following: Eimeria sinensis, Apiosoma megamicronucleate, Chilodonella cyprinid, Trichodina domerguei, Trichodina elegini and Trichodina heterodentata.
REFERENCE INTERVAL OF PLACENTAL GROWTH FACTOR IN NON-PREGNANT AND PREGNANT FEMALES
Authors: Afaaq Asma , Khan Muhammad Dilawar , Batool Hijab , Chughtai Omer , Chughtai Akhtar Sohail , Ashraf Shakeel
Published: May 2024

Objective: To determine the reference interval of placental growth factor in healthy non-pregnant and pregnant females.
Material and Methods: This cross-sectional study was conducted at Chughtai Institute of Pathology Chemical pathology department from January 2023-May 2023. Reference individuals were selected by purposive, non-probability sampling technique from 130 diseased free non-pregnant and 130 disease free pregnant females. Informed consent was obtained from females of reproductive age group who fulfilled the inclusion criteria. Levels for PGF was measured by a fully automated immunoassay analyser Elecsys system Cobas e601. Data was analyzed by using SPSS21. Kolmogorov-Smirnov test was applied.  P value <0.05 was considered significant. The 2.5th and 97.5th percentiles were calculated at 90% CI by using the formula 0.025x(n+1) at rank number 1 and 0.975x(n+1) at rank number 7.
Results: Reference intervals were calculated by Rank-based method. Data values were arranged and rank numbers were allocated. Reference interval of PGF in non-pregnant and pregnant females were determine on the basis of 2.5th and 97.5th percentiles was 3.8 to 12.7 pg/mL and 46.43 to 1148 pg/mL respectively.
Conclusion: Current study findings add on contribution in comparison between reference interval of PGF in healthy non-pregnant and pregnant females. It will subsequently help the gynaecologist, clinicians, pathologist to interpret the results in order to decrease the feto/maternal complications related to pre-eclampsia. PGF levels can be cost effective by reducing unnecessary hospitalization and investigations in females at minimal risk of pre-eclampsia.
Keywords: Reference interval, Placental growth factor, Pre-eclampsia.
Impact of Crop Production on Economic Growth in Nigeria, 1981 – 2018
Authors:   Department of Economics, Faculty of Social Sciences, Nassarawa State University, Keffi Nigeria, M. IBBIH Joseph
Published: May 2024

This study examined the impact of crop production on economic growth in Nigeria utilizing annual time series data from 1981 to 2018. The study used Johansen cointegration test, Vector Error Correction test, the impulse response functions and variance decomposition for data analysis after the data series were checked against unit root problem using the Augmented Dickey Fuller unit root test. The study tested and found that increase in the production of cassava, cocoyam, groundnut, guinea corn, maize, millet, rice and yam spurs economic growth in Nigeria in the long-run except for cotton production and with only groundnut production contributing significantly to the output of the Nigerian economy in the short- run. The study, therefore recommends that the Nigerian government should encourage farmers in the production of crops through supply of fertilizer to increase their productivity and food output while improving their use of modern seedlings and technology in the production that may in turn increase the crop production while farmers should be encouraged to adapt best practices in farming to maximize crop yield.
ON THE TRAINING OF CADRES FOR THE CHINESE REVOLUTION IN THE USSR (ON THE HISTORY OF THE YUANLI SCHOOL OF FOREIGN LANGUAGES)
Authors: YUE Q. , KICHIK K.V.
Published: May 2024

The victory of the October Revolution in Russia in 1917 awakened the enthusiasm of advanced Chinese intellectuals to master the Russian revolutionary experience, and many young Chinese revolutionaries sought to study directly in the birthplace of October. In order to study Russian revolutionary theory and experience and achieve the goal of transforming the country, it was necessary to train a group of Russian-speaking cadres for the future revolution. The article deals with the history of the first cadre school of the Communist Party of China, the School of Foreign Languages in Yuyangli, a neighborhood of Shanghai. The research shows that, although it existed for only about a year, this school made an important contribution to the education of the first cadres of the CPC and to the development of the Chinese revolution. Its teachers and students vigorously propagated Marxism, actively participated in party construction, led the Chinese workers, peasants, youth, women’s movements and armed struggle. They played a special role in connecting Marxist theory with the practice of the Chinese revolution, developing and strengthening the Party’s organizational strength and expanding its political influence. Old Yuyangli and New Yuyangli are two neighboring streets. In 1920, it was here that a group of Chinese communists in Shanghai established the School of Foreign Languages, which actually became a school for training Chinese revolutionary cadres. The first group of young communists who studied here were sent to the USSR after only a few months of Russian language and political training. Upon returning home, most of the graduates of the School of Foreign Languages became prominent figures of the Chinese revolution. The spread of Marxism in China is closely connected with this group of young people who studied in the USSR. Yuyangli is not just a toponym and a place where the School of Foreign Languages was located, but it is a historical “witness” of the CPC’s more than century-long struggle for its ideals.