bluuebunny/crossref_metadata_2025 huggingface dataset:
Using satellite image data to identify rice varieties through linear spectral unmixing method (case study: Karangjati Sub District, Ngawi Regency)
Authors: Kusoiry Moch Rafli , Jaelani Lalu Muhamad , Sanjaya Hartanto
Published: May 2024

Remote sensing technology has increasingly emerged as a potent tool for precision agriculture, particularly in facilitating the mapping and monitoring of crops on a large scale. An application of this technology is the identification of different types of rice by analyzing the pixels acquired in satellite images. Regrettably, the pixels in the image have been mixed from different recorded items. Therefore, they have the potential to influence the outcome of the identification. An effective approach to addressing this problem is to employ the linear spectral unmixing (LSU) technique. The LSU approach quantifies the ratio of pure objects in every pixel of an image by utilizing the spectral value associated with the endmember of the rice variety. The investigation was carried out in the Karangjati District during the generative stage (70 ± DAP) of the rice planting season. The data indicates that the dominant variety is Inpari 32 HDB. The data validation tests, which involved the use of a confusion matrix and Kappa analysis, resulted in an overall accuracy rate of 85.48% and a Kappa analysis score of 70.6%.
Frequencies of the disk displacements and joint effusions of temporomandibular joint disorders using 3T MRI.
Authors: kawashima Yusuke , Abe Hiroshi , Hagimoto Aya , MIyakoshi Masaaki , Kawabata Yoshihiro , Indo Hiroko , Tanaka Tatuso
Published: May 2024

Aim
The purpose of this study was to assess frequencies of the disk displacements and joint effusions of temporomandibular joint disorders using 3T MRI.
Methods
We retrospectively evaluated 229 TMJs. We recorded 1) pattern of disk displacement (anterior, anterolateral, anteromedial, posterior, medial and posteromedial disk displacement); 2) prevalence of the disk displacement; 3) presence/absence, of joint effusions in each disk displacement and 4) prevalence of dynamics of the disk (with or without reduction) in each disk displacement, and 5) prevalence of the disk displacement in each age group. The data were collected in 2023 and the study was conducted in 2023.
Results
One hundred nineteen out of 229 TMJs showed anterior disk displacement. Anteromedial and lateral disk displacement had joint effusions. In anterior disk displacement, 46 joints showed with reduction of the disk and 73 joints showed without reduction of the disk. Anterior disk displacement was more frequent in females than in males in 20’s, 50’s, 60’s, and 70’s
Conclusions
The disk displacements showed age and gender difference. More than 60% of joints showed reduction in anterior disk displacement. These findings may useful for age- and gender-specific treatment interventions of the TMDs.
APPLYING TOGAF-BASED ENTERPRISE ARCHITECTURE IN THE HEALTHCARE SECTOR: A CASE STUDY OF THE NATIONAL CENTER FOR DIABETES IN JORDAN
Authors: Omari Hania , Alkhateeb Abedalrhman , Hammo Bassam
Published: May 2024

Technology implementation can significantly benefit organizations, but ensuring it aligns with their business needs and goals is crucial. Adopting an enterprise architecture approach can aid healthcare enterprises in overcoming challenges during the transformation process. In particular, this study examines how The Open Group Architecture Framework (TOGAF) can facilitate digital transformation while ensuring alignment with business needs. Using the Architecture Development Method (ADM) of TOGAF, the study analyzes the current architecture of the National Center for Diabetes, Endocrinology, and Genetics (NCDEG) in Jordan, intending to develop a target architecture that helps NCDEG effectively achieve its goals.
Assessment of knowledge, attitude, and practice of artificial intelligence among medical students in a tertiary care hospital
Authors: S Srinath , S Anusha , P Roshini
Published: May 2024

Background: Artificial intelligence (AI) is gaining prominence in the field of medicine with potential benefits in diagnosis, treatment, and medical education. However, the extent to which medical students are informed about AI, their attitudes toward the integration of AI with medicine, and their engagement in AI-related practices remains an essential aspect yet to be explored.

Aims and Objectives: This study aims at assessing the knowledge, attitude, and practice of AI among medical students in a tertiary care hospital and understanding the perspectives of students toward AI as a teaching tool and in medical practice.

Materials and Methods: This is a cross-sectional study using an online survey consisting of closedended questions under categories of demographical data, knowledge, attitude, practice, and discussion among medical students of a government medical college and hospital in Kallakurichi.

Results: Among 150 participants of the study, 74.16% were found to have a basic knowledge of AI cumulatively. 49.33% of the participants reported that they expected a positive impact of AI in health care; 14.0% shared that AI could have a negative impact on existing health-care practices; and the remaining 36.67% were impartial toward the outcome of AI integration. 10.67% of participants were extremely confident in their AI skills in medical practice; 26% reported that they were somewhat confident; 45.33% believed that they could adapt if needed; and 18% were uncertain of it. Finally, 17.33% were accepting toward AI evaluating their clinical skills, 36.0% were in strong denial of AI-based evaluation, and 46.67% agreed that it could be useful in some specific cases.

Conclusion: In conclusion, the study highlights the current level of knowledge and attitudes of medical students toward AI. Incorporating AI tools and knowledge into medical education may lead to more informed and positively inclined future health-care professionals who can harness the potential benefits of AI in health care and advance medical knowledge.
The effects of corporate governance on financial performance of selected companies listed at the Lusaka securities exchange
Authors: Chiwele Chansa , Mwange Austin
Published: May 2024

This study examines the influence of corporate governance on the financial performance of companies that are publicly traded on the Lusaka Stock Exchange (LuSE). The study uses a sample of eight corporations to examine the correlation and regression analysis of three key governance features: board independence, board size, and audit committees. The study aims to investigate the relationship between these aspects and financial outcomes. The study reveals a direct association between the size of the board and revenue, indicating that larger boards may enhance financial performance by bringing in a wider range of experience and implementing improved governance methods. Nevertheless, there is a clear inverse relationship between board independence and revenue, suggesting that greater levels of independence may not necessarily be associated with improved financial performance, potentially due to an excessive focus on risk mitigation. The existence of audit committees is directly associated with revenue, highlighting their significance in enhancing financial transparency and adherence to regulations. This study adds to the discussion on corporate governance in developing economies by emphasizing the subtle impacts of governance frameworks on financial outcomes. It implies that although some governance methods are advantageous, their effects can differ based on the particular circumstances and dynamics of the companies and marketplaces in which they function.
Exploring the integration of Chinese nationalized piano education in modern music pedagogy
Authors: Zou Weixin , On Tharanat Hin , Sapaso Pongpitthaya
Published: May 2024

This study investigates the integration of Chinese Nationalized Piano Education into modern music pedagogy, aiming to enhance student's musical understanding and appreciation while fostering cultural connections. The introduction outlines the significance of cultural integration in music education and introduces the concept of Chinese Nationalized Piano Education, highlighting its unique pedagogical approach rooted in Chinese cultural heritage. The objective is to investigate and analyze the methods and outcomes of integrating Chinese Nationalized Piano Education into modern music pedagogy. The content and research site focus on educational institutions incorporating Chinese Nationalized Piano Education, with key informants including music educators and students. Data analysis involves qualitative techniques such as thematic coding and content analysis, complemented by quantitative methods for data visualization and statistical analysis. The research results reveal innovative teaching methods, holistic curriculum designs, improved student engagement, cultural awareness, and musical proficiency. Suggestions include adopting diverse teaching strategies, integrating cultural elements, providing immersive learning experiences, and promoting a global perspective in music education.
Challenges and strategies in teaching blind student’s piano at the beginner level
Authors: Chen Chun , Kaenampornpan Pornpan , Sapaso Pongpitthaya
Published: May 2024

This study delves into the challenges and strategies involved in teaching blind students piano at the beginner level, with a focus on creating inclusive and effective learning environments. The objective is to comprehensively explore and analyze the challenges faced by teachers when instructing blind students in piano at the beginner level. The content revolves around a pilot teaching program conducted at a school in Jiangsu, China, involving blind and deaf students aged 8-12 years old. Key informants include experienced piano teachers specializing in blind student education. Data analysis combines qualitative methods from interviews and observations with quantitative data from surveys, leading to key findings on segmented practice, mastering music rules, technology integration, and curriculum design. The research results highlight the effectiveness of auditory-based learning strategies in enhancing blind students' rhythmic precision and melodic expression. Suggestions for improving inclusive piano education include integrating technology, designing tailored curricula, and conducting formal teaching evaluations.
CONSCIENTIZAÇÃO E PRESERVAÇÃO AMBIENTAL NO MEIO ESCOLAR
Authors: Zottele Thauane Gonçalves , Pinho Silvia Teixeira de
Published: May 2024

Este artigo aborda a importância de desenvolver a conscientização e proteção do meio ambiente no dia a dia nas escolas, com o objetivo de tornar alunos disseminadores de informações benéficas para a população, reforçando que um ambiente impoluto é necessário para a saúde dos seres humanos, para a fauna e flora. Com isso, tem como objetivo principal promover educação ambiental referente a Conscientização e Preservação Ambiental no Meio Escolar. Posto isso, é de suma relevância inserir o tema dentro da grade curricular dos alunos, em todos os níveis de ensino. À vista disso, adotou-se uma metodologia de revisão bibliográfica, por meio de uma pesquisa crítica de artigos científico publicados, livros, trabalhos acadêmicos e relatos referente a encontros nacionais pertinentes ao tema. A revisão propos compreender a significância de potencializar a educação ambiental nas escolas públicas do país. Os resultados apontam que este estudo, no meio escolar, exerce um papel essencial no processo de tornar alunos/cidadãos cônscios. Conclui-se, tambem que, a Conscientização e Preservação Ambiental no Meio Escolar é indispensável nas escolas, principalmente nos dias de hoje que tem-se elevados índices de desmatamento. No entanto, é necessário o empenho dos educadores escolares para estar sempre atualizados sobre o tema, desenvolvendo-o tanto em aulas teóricas como práticas, para que os alunos assegurem para si e as para futuras gerações a disponibilidade de um ambiente saudável, recuperando e conservando as nossas riquezas naturais.
Pengungkapan Aspek Sosial Sesuai Standar GRI 400 Versus Kepercayaan Pemangku Kepentingan
Authors: Amalia Rizky , Kharisma Andy Novendra , Firmansyah Amrie
Published: May 2024

Penelitian ini bertujuan untuk mengulas keinformatifan dan komparabilitas indikator pelaporan non-keuangan pada aspek sosial perusahaan dalam melakukan bisnis sesuai dengan Standar Global Reporting Initiative (GRI). Selain itu, penelitian ini juga mengulas keselarasan indikator GRI 400 (topik sosial) dalam mendukung ketercapaian Sustainable Deveopment Goals (SDGs). Metode penelitian yang digunakan dalam penelitian ini adalah scoping review dan analisis konten. Scoping review dilakukan dengan cara melakukan identifikasi literatur dari berbagai sumber referensi yang berkaitan dengan GRI 400. Sementara itu, analisis konten digunakan untuk menambahkan informasi pengungkapan yang diperlukan dalam ulasan pembahasan. Hasil penelitian ini menyimpulkan bahwa indikator GRI 400 telah mendukung ketercapaian SDGs. Penelitian ini juga memberikan usulan beberapa indikator dalam seri GRI 400 secara kuantitatif dan biaya. Hasil penelitian ini diharapkan bermanfaat untuk para pemangku kebijakan lokal untuk mempertimbangkan usulan tambahan informasi yang diungkapkan dalam laporan keberlanjutan dan dapat menambah kepercayaan para pemangku kepentingan atas laporan keberlanjutan yang disajikan.
Analysis Of The Implementation And Implications Of OECD/G20 Pillar One On The Taxation System In Indonesia
Authors: Fajar Fadlol Muhammad , Irawan Ferry
Published: May 2024

One of the efforts taken by member countries of OECD/G20 Inclusive Framework for BEPS is to capture tax revenue from the digital economy is called Pillar One: Unified Approach specifically Amount A. This research aims to obtain information on the progress and obstacles on the implementation of Pillar One in Indonesia, including the impact generated by Pillar One as well as understand policy alternatives that could potentially become replacement for Pillar One. The method used in this research is qualitative with a case study approach. The results obtained in this study show that currently Pillar One cannot be implemented because it encounters various obstacles and is related to other jurisdictions. If Pillar One has been implemented, the implications are additional tax revenue potential but relatively low, adjustment on policy, tax administration systems, IT systems and human resources. Pillar One, which has the potential to be canceled, raises alternative policies that can be implemented by Indonesia such as Digital service tax, Article 12B UN Model Convention and new PE criteria namely Significant Economic Presence. The government must reconsider the cost and benefit on implementation of Pillar One. The government must also prepare and compile alternative policies and supporting aspects such as IT system development due to the potential failure of the Pillar One implementation.
The Effect Of Economic Growth And Inflation On Value Added Tax Revenue In ASEAN Countries With Foreign Direct Investment As a Moderation
Authors: Tricahyono Danang , Wijaya Suparna
Published: May 2024

Goods and Services Tax or also known as Value Added Tax is one of the taxation systems implemented by many countries around the world. The VAT system has been implemented in most ASEAN member countries with various rates. This study aims to analyze the effect of economic growth and inflation on VAT revenue in ASEAN countries in the period 2012 to 2019. In addition, this study will also examine the effect of foreign investment as a moderating variable. The analysis method used is panel data multiple linear regression analysis. The results showed that the GDP and FDI variables had a positive and significant effect on VAT revenue and the CPI variable had a negative and significant effect on VAT revenue. Furthermore, FDI weakens the relationship between economic growth and VAT revenue and FDI does not affect the relationship between inflation and VAT revenue. Due to the limited availability of data, it is expected that future research can use more comprehensive and up-to-date data so that it can be more accurate and relevant in analyzing the factors that affect VAT revenue in ASEAN countries.
The Evolution of E-Sports: How its Changing the Way We Play
Authors:   Amity University Uttar Pradesh, India, Chaudhary Miss Anshika
Published: May 2024

The realm of gaming has witnessed a transformative shift with the advent of electronic sports, commonly known as e-sports. This report delves into the dynamic landscape of e-sports, exploring its evolution and the profound impact it has on the way we engage with gaming. Through a comprehensive analysis, this study examines the rise of esports from its humble beginnings to its current status as a global phenomenon. By investigating the technological advancements, sociocultural factors, and economic dynamics driving the growth of esports, this report elucidates the intricate interplay between virtual competition and real-world experiences. Furthermore, it discusses the implications of e-sports on gaming communities, professional athletes, and broader societal trends. Ultimately, this report seeks to provide insights into how e-sports are reshaping the gaming landscape and influencing the way we play. Keywords: E- Sports, Gaming, technological advancements, sociocultural factors
IMPACT OF GST ON INDIAN BUSINESSES
Authors:   Amity Law School, Amity University, Lucknow Campus, Singh Utsav
Published: May 2024

The Goods and Services Tax (GST) regime in India, implemented in July 2017, represents a transformative overhaul of the country's indirect tax system. This research paper extensively analyzes the multifaceted impact of GST on Indian businesses across various sectors. By harmonizing numerous central and state levies into a unified tax structure, GST aims to simplify compliance, boost economic growth, and cultivate a common national market. The study delves into the intricate aspects of GST, encompassing its objectives, statutory framework, and implementation challenges. It evaluates the profound implications for diverse business entities, ranging from large corporations to micro, small, and medium enterprises (MSMEs). Key areas of focus include supply chain optimization, pricing strategies, working capital management, and transitional complexities. Furthermore, the paper scrutinizes sector-specific ramifications, shedding light on industries experiencing seismic shifts due to GST, such as manufacturing, services, e-commerce, and real estate. It also examines the role of technology in facilitating GST compliance and the digital transformation catalyzed by this tax reform. Through empirical analysis and case studies, the research paper assesses the extent to which GST has achieved its intended objectives, identifying areas of success and ongoing challenges. It provides valuable insights for policymakers, industry stakeholders, and academics, contributing to the discourse on optimizing the GST framework for enhanced economic competitiveness and ease of doing business in India. Keywords: GST, Indian Businesses, Tax Reform, Supply Chain, Compliance, Digital Transformation, Sectoral Impact, Economic Growth, Policy Implications.
Ethics of Artificial Intelligence(AI)
Authors:   PDM University,, K. K Pragya
Published: May 2024

In today's research and development, artificial intelligence (AI) ethics are a complex and urgent issue. Concerns about artificial intelligence (AI) systems' possible effects on people, communities, and the larger global environment are raised as these systems are incorporated into more and more facets of society. This study examines the ethical implications of artificial intelligence (AI), looking at topics including privacy, fairness, accountability, transparency, and the possibility of prejudice and discrimination in AI algorithms and decision-making processes. The study endeavours to contribute to the establishment of frameworks and rules that encourage the responsible and ethical use of AI technologies, guaranteeing their conformity with society values and the preservation of human rights, by critically assessing these ethical issues. Keywords:-AI ethics , artificial intelligence, ethics, machine ethics, robotics, challenges.
Bridging Languages through Images: A Multilingual Text-to-Image Synthesis Approach
Authors: S Tarun
Published: May 2024

This research investigates the challenges posed by the predominant focus on English language text-to-image generation (TTI) because of the lack of annotated image caption data in other languages. The resulting inequitable access to TTI technology in non-English-speaking regions motivates the research of multilingual TTI (mTTI) and the potential of neural machine translation (NMT) to facilitate its development. The study presents two main contributions. Firstly, a systematic empirical study employing a multilingual multi-modal encoder evaluates standard cross-lingual NLP methods applied to mTTI, including TRANSLATE TRAIN, TRANSLATE TEST, and ZERO-SHOT TRANSFER. Secondly, a novel parameter-efficient approach called Ensemble Adapter (ENSAD) is introduced, leveraging multilingual text knowledge within the mTTI framework to avoid the language gap and enhance mTTI performance. Additionally, the research addresses challenges associated with transformer-based TTI models, such as slow generation and complexity for high-resolution images. It proposes hierarchical transformers and local parallel autoregressive generation techniques to overcome these limitations. A 6B-parameter transformer pretrained with a cross-modal general language model (CogLM) and fine-tuned for fast super-resolution results in a new text-to-image system, denoted as It, which demonstrates competitive performance compared to the state-of-the-art DALL-E-2. Furthermore, It supports interactive text-guided editing on images, offering a versatile and efficient solution for text-to-image generation.. Keywords: Text-to-image generation, Multilingual TTI (mTTI), Neural machine translation (NMT), Cross-lingual NLP, Ensemble Adapter (ENSAD), Hierarchical transformers, Super- resolution, Transformer-based models, Cross-modal general language model (CogLM).
Virtual Mouse
Authors:   Dept. Computer Science MIT ADT University,, Thakur Shanu
Published: May 2024

Now a days the use of hand gesture recognition became popular due to the advance technology of artificial Intelligence (AI). In recent years, there has been a growing interest in developing alternative methods for human-computer interaction (HCI) that go beyond traditional input devices like keyboards and mouse. Hand gesture recognition has emerged as a promising approach, offering intuitive and natural ways for users to interact with digital interfaces. The proposed system utilizes computer vision techniques to detect and track hand gestures in real-time. By mapping specific gestures to mouse control commands, users can navigate and interact with graphical user interfaces (GUIs) without the need for physical input devices. In this paper A hand gesture- controlled virtual mouse system utilizes the AI and Machine learning algorithms to recognize the proper hand gestures and translate them into the mouse movements. The system we are designed that the people who have problems or difficulty using a traditional mouse or keyboard it will be appropriate for them. For this we are using camera that capture images of the user’s hand, which are processed by an AI and ML algorithm to recognize the gesture of hands being made. We trained the system by using a dataset of hand gestures. Keywords — Hand gesture recognition, Machine Learning, Artificial Intelligence, Virtual Mouse, Python, Media Pipe
Medicare: Doctor Appointment Website and Hosting Using Cloud Services
Authors:   Department of Information Technology, KDK College of Engineering Nagpur, Maharashtra, India., Kolte Prof. Roshan
Published: May 2024

The "Doctor Appointment Website Hosting with Cloud Services" project aims to revolutionize the healthcare appointment scheduling process by leveraging modern web technologies and cloud infrastructure. The web application provides a user-friendly platform for patients and healthcare providers to efficiently manage appointments, access relevant information, and communicate seamlessly. By integrating AWS cloud services, the platform ensures scalability, reliability, and accessibility, accommodating growing user bases and maintaining high availability. Additionally, the project incorporates telemedicine capabilities, enabling virtual appointments and improving accessibility to healthcare services. Through the implementation of innovative features and robust system architecture, the project addresses key challenges in traditional appointment management systems and enhances the overall patient experience. Future scope includes the integration of advanced functionalities such as health monitoring, AI-powered chatbots, and predictive analytics, further advancing the platform's capabilities and fostering a patient-centric approach to healthcare delivery. Overall, the project represents a significant step towards modernizing healthcare appointment scheduling and optimizing clinical workflows in a cloud-based environment. Keywords: - Doctor Appointment, Website Hosting, Cloud Services, Appointment Management, JavaScript.
GUARDIAN OF THE GHATS AND HEADLIGHTS FOR VISIBILITY
Authors:   EEE Department Vidya Vikas institute of engineering and technology, V Shiva
Published: May 2024

The abstract introduces a ground breaking project aimed at revolutionising road safety through adaptive lighting and collision detection in challenging driving environments. In the contemporary context, road accidents pose a significant threat to public safety, with statistics revealing a staggering number of incidents globally. According to recent data from the World Health Organization (WHO), over 1.3 million people die each year in road traffic accidents, and an additional 20 to 50 million suffer non-fatal injuries. A substantial portion of these accidents occurs during turns in hilly terrains, highlighting the need for innovative solutions. This project addresses the aforementioned issue by proposing a dynamic lighting system that utilises light intensity sensor to sense oncoming vehicle headlights. By adjusting the brightness of our vehicle's LED lights in response to detected light intensity, the system aims to reduce the risk of blinding oncoming drivers, thereby mitigating the likelihood of accidents. Furthermore, the introduction of Ghats Section Collision Detection using Infrared (IR) sensors enhances safety during turns. In Ghats sections, where accidents are more prevalent, IR sensors strategically placed on each side of the car detect potential collisions and activate warning indicators, such as a red light, to alert the driver. This dual-feature system provides a comprehensive approach to address the complex challenges associated with road safety, offering a promising solution to reduce accident rates and enhance overall driving experience.
Identification of Counterfeit Videos using Deep Learning Methodology
Authors:   School of Computer Science and Artificial Intelligence, SR University, Warangal-506371, Telangana State, Vaishnavi Thoutam
Published: May 2024

The rise of deep learning has ushered in a proliferation of deep fake videos, posing significant challenges to the credibility of visual content. Our research introduces a groundbreaking approach by merging Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) to enhance the accuracy of deepfake prediction. This unique integration, which has not been previously implemented, significantly boosts the model's capability to discern deepfakes. The synergy of CNNs and RNNs in our methodology represents an advancement, contributing to increased accuracy in detecting synthetic content. We leverage CNNs and RNNs for an efficient solution. First, we employ a Res-Next CNN to extract distinctive features from individual video frames, effectively encoding spatial information. These features are then used in the subsequent phase, where a LSTM-RNN models temporal dynamics within the videodata.The temporal aspect is crucial in differentiating deep fake videos due to subtle inconsistencies over time. The LSTM RNN processes the feature sequence, enabling the model to identify temporal patterns unique to deep fakes. This holistic approach, combining spatial and temporal analysis, enhances the model's ability to detect even highly convincing synthetic content. Our model is trained on a comprehensive dataset with rigorous evaluations, demonstrating competitive performance through standard metrics such as accuracy, precision. Practically, our model offers real- time video analysis, automatically identifying deep fake content and mitigating potential risks. Importantly, our approach is simple and robust, suitable for deployment across diverse scenarios. In summary, our research provides an effective solution to the critical issue of deepfake detection. By synergizing CNNs and LSTM-based RNNs, we offer a practical means to uphold the integrity of visual content in an era where digital information authenticity is paramount. Keywords— Deep Learning, CNN, RNN, Deepfake, LSTM, accuracy, precision, visual content, digital information
A REVIEW PAPER ON: DECORDING THE IMPACT OF INFLUENCER MARKETING ON MODERN CONSUMER BEHAVIOUR
Authors:   Department of BBA, Kalinga University, Naya Raipur C.G, Tiwari Subham
Published: May 2024

The Internet has become an important part of daily life in the electronic age, with approximately 5 billion users and 80% of people participating in social networks. The development of the program was then transferred to this electronic domain and the beautiful display of energy emerged as a clear method of communication. A strong influence allows local influencers to promote business and product development to solve all kinds of problems of brands and customers. This is research into the complex connection between customer dynamic cycles and the power of promotion. By uncovering speculative development and examining the evidence from a local and holistic perspective, this research aims to uncover the mysterious systems that drive the impact of buyer decisions of sensational uniqueness. Additionally, this study aims to determine the key factors that contribute to the success of business operations and their impact on businesses. Knowledge of technology. Data is collected on the basis of comprehensive analysis and processed from various sources such as sound assessments, annual consolidated reports, non-academic inventories and experts. This distinction involves a general assessment of the difference between a particular aesthetic improvement and its effect on the recipient's freedom of action. important workplaces. Factors such as partner base, emotional profile, authenticity, and accountability are seen as important factors in making a good decision. Additionally, the surprising possibility of building a relationship with fans is the main consideration that makes buyers come and see the show. An important element of trust, creativity and long-term cooperation with large companies have been proven to yield significant products. Key Words: Influencer; Influencer marketing; Decision-making process; Consumer behavior; Social media; Digital marketing; Brand engagement; Authenticity; Relationship building; Content creation; Follower engagement; Brand promotion.
Block Chain Based Counterfeit Product Identification
Authors:   Vignan’s Institute of Information Technology (A), Beside VSEZ,Duvvada,VadlapudiPost,  Gajuwaka, Visakhapatnam-530049.
Published: May 2024

In recent years, counterfeit goods have grown to be a significant issue for the product manufacturing sector. They affect the companies' sales, profit margins, and brand. Block chain technology is used to distinguish between authentic and fake goods. It is a distributed, decentralized digital ledger that keeps track of transactions by storing blocks of data across several databases linked together by chains. It is secure, therefore no block can be changed or breached. Block chain technology allows users and customers to verify a product's safety without depending on outside parties. Quick Response (QR) codes, which capitalize on new developments in mobile and wireless technology, provide a potent means of countering the practice of product counterfeiting in this project. It is possible to detect counterfeit goods with a QR code scanner that connects a product's QR code to a block chain. Keywords: Counterfeit products, Block chain technology, QR codes, Manufacturing sectors, Secure, Digital ledger.
Currency Classification Using Deep Learning
Authors:   MCA Student, Department of Master of Computer Applications,  Vignan’s Institute of Information Technology(A),, Jyothsna K. Amrutha
Published: May 2024

Among the uses of machine learning is the recognition of facial expressions. Based on the features that are derived from an image, it assigns a facial expression to one of the classes of facial expressions. Convolutional Neural Network (CNN) is a classification technique that may also be used to identify patterns in an image. We used the CNN approach to identify facial expressions in our proposed study. To increase the precision of facial emotion recognition, the wavelet transform is used after CNN processing. Seven distinct facial expressions are included in the facial expression image dataset that was obtained from Kaggle. The findings of the face expression recognition experiment utilizing CNN and wavelet transform show that the accuracy is improved, and the output is audible. Index Terms: Facial and Convolutional Neural Nets
A STUDY ON DIGITALISATION IN HUMAN RESOURCE MANAGEMENT
Authors: Lokhande Ms. Jayashri Sadanand
Published: May 2024

Digitalization is the newest trend in all industries these days, including finance, marketing, human resources, etc. This paper will provide a quick overview of the digitalization of human resources and provide examples of firms who are implementing this strategy. Digitalization is the process of establishing a business culture that relies heavily on technology. The practice of utilising social media, cloud computing, analytics, mobile, and other tools to improve HR's effectiveness, efficiency, and connectivity is known as "digital HR." HR functions including hiring, performance management, pay, on boarding, training & development, etc. are all becoming digitalized. As they say, everything has advantages and disadvantages.
GESTURE CONTROLLED SMART GLOVE WITH WEB APPLICATION
Authors: Ajith Anagha
Published: May 2024

his paper presents a gesture-controlled smart glove system integrated with a web application for interactive user interface and control. The glove utilizes an array of sensors, such as accelerometers, gyroscopes, and flex sensors, to detect hand movements and gestures with high precision. These sensors capture real-time data, which is processed by an embedded microcontroller unit (MCU) onboard the glove. The processed data is then transmitted wirelessly to a web application via Bluetooth or Wi-Fi connectivity. The web application, accessible through a browser on any device, provides a user-friendly interface for controlling various applications and devices remotely. Users can customize gesture mappings to specific actions, enabling seamless interaction with IoT devices, virtual reality environments, and computer applications. The system's architecture emphasizes modularity and scalability, allowing for easy integration of additional sensors or functionalities. Moreover, the web application employs responsive design principles, ensuring compatibility with different screen sizes and devices. In conclusion, the proposed gesture-controlled smart glove system offers a versatile and intuitive interface for interacting with digital environments. Its integration with a web application enhances accessibility and usability, making it suitable for a wide range of applications, including gaming, rehabilitation, and virtual control interfaces. Key Words: MCU, Flex sensors, Web Application, Gesture Control, IOT
Design and Implementation of a Honeypot-based Intrusion Detection System for Mitigating SQL Injection-based Botnet Attacks in E-commerce Websites.
Authors: K, Santhosh
Published: May 2024

Sensitive data on e-commerce websites has been more vulnerable to cyberattacks in recent years, especially when those assaults take advantage of SQL injection flaws. Botnets are a ubiquitous hazard that increase the risks by automating large-scale attacks. This paper provides a new method for preventing SQL injection-based botnet assaults on e-commerce websites by creating and deploying an intrusion detection system (IDS) based on honeypots. By tricking attackers into interacting with dummy systems and then watching and analyzing their actions, the suggested solution seeks to proactively detect and neutralize such attacks. Our system improves the security posture of e-commerce platforms by using a combination of machine learning algorithms, anomaly detection techniques, and honeypot deployment. This protects sensitive client data and maintains business integrity. Keywords: E-commerce, SQL injection, Botnet, Honeypot, Intrusion Detection System, Machine Learning, Anomaly Detection
City Of Dreams: An Open-World Games
Authors: Shree Dr. Tanu
Published: May 2024

In recent years, the gaming industry has witnessed a remarkable evolution, with open-world games emerging as a dominant genre that captivates players with expansive virtual worlds, intricate narratives, and immersive gameplay experiences. Among these innovative titles, "City of Dreams" stands out as a pinnacle of open-world game design, offering players a richly detailed urban landscape to explore, inhabit, and shape according to their desires. This research paper provides a comprehensive analysis of "City of Dreams," examining its technical development, player engagement dynamics, societal impact, and broader implications within the gaming industry and digital culture. The technical development of "City of Dreams" is explored in detail, encompassing various aspects such as game engine selection, character animation, environment design, and physics implementation. By delving into the technical intricacies of game development, this research sheds light on the creative processes and technological innovations that underpin the creation of immersive gaming experiences. Furthermore, the paper investigates the player engagement dynamics of "City of Dreams," exploring how its diverse gameplay mechanics, immersive world design, and compelling narrative drive player engagement and immersion. Through an analysis of player behavior, feedback, and interaction patterns, insights are gained into the factors that contribute to the game's success and longevity. Keywords—open-world games, player experience, player behavior, game development, immersive environments, Non-Playable Characters (NPCs).
Enhanced Pothole Detection Using YOLOv8 Nano
Authors: Shevtekar Sumit
Published: May 2024

With over 50 million cars sold annually and over 1.3 million motor vehicle accident deaths worldwide each year, road safety is an urgent concern. It is critical to address driving behavior in countries like India, which contributes 11% of all traffic fatalities worldwide. This study uses YOLOv8, a state-of- the-art deep learning model, to improve pothole identification, hence improving road safety. Our technology achieves a detection accuracy of over 90% by utilizing YOLOv8, which considerably lowers the likelihood of accidents caused by potholes. Moreover, our method has exceptional scalability, processing more than thirty frames per second, which makes it appropriate for real- time implementation in a variety of road conditions. Through rigorous experimentation and analysis, we showcase the potential of our system to revolutionize road safety measures by proactively addressing pothole-related hazards. Index Terms—Pothole detection, YOLOv8, Deep learning, Object detection, Real-time detection, Road safety.
StoryCraft AI: Exploring Generative Approaches to Story Narration through AI
Authors: Swaroopa Pethota
Published: May 2024

In this project, we demonstrate a Storytelling AI system, which can generate short stories and complementary illustrated images with minimal input from the user. The system makes use of a text generation model, a text-to-image synthesis network, and a neural style transfer model. The final project is deployed into a website where users can build their stories. The field of AI has made significant changes in various domains, including Natural Language Processing and Generative models. One captivating application of these advancements is in the realm of storytelling. This project introduces a novel approach to story narration using a Generative AI model, specifically leveraging the GPT architecture. Traditional storytelling involves human creativity, imagination, and the ability to craft engaging narratives. However, the integration of AI into storytelling brings about new opportunities and challenges. In this project, we delve into the methodologies and techniques used to train a GPT-based model for generating coherent and captivating stories. In the end, we found that using computers for storytelling can be exciting, but we need to work together to ensure the stories are great and meaningful. Key Words: Artificial Intelligence (AI), Generative Adversarial Network (GAN), Generative Pre-trained Transformer (GPT)
IMPLICATIONS IN INDONESIAN LANGUAGE LEARNING CLASS VIII SMP N 2 TOROH GROBOGAN
Authors: Aulia Firdaus Elyariza Devy , Andayani Andayani , Rohmadi Muhammad
Published: May 2024

This study aims to describe and explain the types of implications in learning Indonesian students of Class VIII SMP Negeri 2 Toroh, Grobogan Regency. The research method used is qualitative research with a descriptive approach. The data used in this study is in the form of teacher and student speech in Indonesian learning in which there are implications. The source of data in the study was obtained from speech events in Indonesian learning in grade VIII SMP N 2 Toroh. Techniques used in collecting data using observation, listening, recording, and interview techniques. The results showed that the types of implicatures found in the learning process, namely conventional and unconventional implicatures (conversation) and the results of research that has been done, researchers found some data about the type of implicature of a speech. The data to be analyzed in this study is in the form of speeches of teachers and grade VIII students of SMP N 2 Toroh which contain types of implications
Application of Hands on Activity Learning Model to Improve English Learning Outcomes of My Uncle is A Zookeeper Material in Grade Viii Students
Authors: Kartini Kartini , Nursyamsiah Nursyamsiah , Mualimah Mualimah
Published: May 2024

The problems to be studied in this action research are: (a) Does the Hands on Activity Learning Method affect the learning outcomes of Class VIII English? (b) How does the Hands on Activity Learning Method affect the mastery of English learning materials in Class VIII students? The research objectives to be obtained are: (a) To reveal the influence of the Hands on Activity Learning Method on Class VIII English learning outcomes. (b) To reveal the Hands on Activity Learning Method for mastery of Class VIII English learning material. This study used three rounds of action research. Each round consists of four stages: design, activity and observation, reflection, and reference. The target of this study is Class VIII students. The data obtained are in the form of formative test results, observation sheets of teaching and learning activities. From the results of the analysis, it was found that student learning achievement increased from cycle I to cycle III, namely, cycle I (69%,), cycle II (76%), cycle III (92%). The conclusion of this study is that the combination of Hands on Activity with working groups can have a positive effect on the achievement and motivation of Grade VIII students, and this learning model can be used as an alternative to English language learning.
Relationship Between Chemical Treatment of Soybean (Glycine max (L.) Merr.) Seeds and Synthesis of Antioxidant Enzymes
Authors: Pereira Renata Cristiane , Silva Breno Gabriel da , Bastiani Géssica Gaboardi De , Endo Karina Midori , Joia Breno Miguel , Costa Rafaela Tavares da , Pegoraro Julia Magnani , Rosendo Arthur Almenara , Alves Lorrayne dos Santos , Braccini Alessandro Lucca , Santos Wanderley Dantas dos , Pelloso Murilo Fuentes , Borges Yana Miranda
Published: May 2024

This research aimed to assess the relationship between chemical treatment with different combinations of products and the physiological quality of seeds stored for 0 and 180 days. The experimental design adopted was the completely randomized (CRD), with four replications. The treatments consisted of the “cultivar”, “seed treatments” and “storage periods” factors. To characterize the quality of the seeds, lignin quantification analysis, peroxidase activity analysis, catalase activity analysis, and scanning electron microscopy (SEM) were carried out. The physiological quality of the seeds decreases as the storage period increases. The lignin present in the seed coat of cultivar TMG 7061 IPRO provided greater protection compared to cultivar 7067. The images referring to cultivar 7067 showed morphological changes resulting from damage caused by the treatment and storage of the seeds.
Toxicity of Bt Protein on Spodoptera frugiperda (Smith) (Lepidoptera: Noctuidae) Fed With Corn Leaves in Paraguay
Authors: Silva Bereniz , Gómez Victor , Arias Osmar , Gaona Edgar , Ramirez María
Published: May 2024

The fall armyworm Spodoptera frugiperda is the most destructive pest in corn cultivation in Paraguay with yield losses of 20 to 70%. The adoption of genetically modified crops (GMO) is a valid technique for managing this pest. The objective of this investigation was to evaluate the toxicity among Bt events used locally; determining mortality and important biological parameters. The S. frugiperda population previously collected from the field was raised under laboratory conditions fed with leaves from events MIR162TM (Vip3A19), VT3ProTM (Cry1A105, Cry2Ab2, Cry3Bb), PowerCoreTM (Cry1A105, Cry1F, Cry2Ab2) and a treatment with non-maize. Bt BR106TM. The mortality of 120 larvae was evaluated for each treatment and the viability until the adult stage of those larvae that managed to survive the different treatments was observed. A high toxicity effect was verified with 100% mortality of neonatal larvae fed with the MIR162TM (Vip3A19) event; as for the other events, 86% and 61% VT3ProTM (Cry1A105, Cry2Ab2, Cry3Bb), and PowerCoreTM (Cry1A105, Cry1F, Cry2Ab2) respectively; with 13% mortality for the non-Bt control variety BR106TM. The oviposition period, viability and number of eggs laid in adults surviving the PowerCoreTM (Cry1A105, Cry1F, Cry2Ab2) and VT3ProTM (Cry1A105, Cry2Ab2, Cry3Bb) events were reduced, affecting the fecundity of the surviving insect population.
Absolutism and Misguided Policies: Muhammadiyah and NU's Criticism against Government's Handling of COVID-19A
Authors: Yunanto Sri , Murod Mamun , Suhail Suhail , Usni Usni , Andriyani Lusi , Setiawan Asep , Anwar Khoirul
Published: May 2024

This study examines the role of Islamic Civil Society Organizations (ICSOs), specifically Muhammadiyah and Nahdlatul Ulama (NU), in addressing COVID-19 in Indonesia. In contrast to previous works, it focuses on their constructive criticism against the Indonesian government, which has undergone political absolutism leading to misguided policies in addressing COVID-19 Pandemics. Drawing on theoretical frameworks from Civil Society Organizations, this study shows that the two ICSOs constructively criticized the state for its inadequate, inconsistent, and contradictory policies on handling Covid 19 pandemics caused by political absolutism in the parliament. The results enriched the debate on Islamic Civil Society theories, shedding light on their voluntary and inclusive nature and their intricate relationship with government.