bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploring the Integration of Corpus-Based and Multimodal Approaches in Academic English Instruction
Authors: Wang Shaofan
Published: May 2024

With the comprehensive advancement of English teaching reforms, the integration of corpus-based methods and the utilization of multimodal educational approaches have emerged as a new developmental trend, aiming to further elevate the quality of academic English instruction. The combination of these two approaches offers an effective means to rectify the various shortcomings present in traditional academic English teaching, consequently enhancing classroom instruction. This paper provides an analysis of the current research landscape and practical application strategies while elucidating the corpus-based multimodal model for academic English instruction.
O IMPACTO DA PANDEMIA DE COVID-19 NA SAÚDE MENTAL DOS IDOSOS
Authors: Oliveira Leonardo Araújo de , Alves Joniomá Evangelista
Published: May 2024

A pandemia causada pelo COVID-19 gerou um impacto muito grande na vida da população, por seguir as medidas de proteção como o isolamento social.  A população idosa teve danos ainda maiores, pois a solidão desenvolveu transtornos mentais na maioria dessas pessoas. O objetivo deste estudo foi identificar os impactos da pandemia da COVID -19 na saúde mental dos idosos. Trata-se de uma revisão da literatura, com buscas de artigos disponíveis na base de dados MEDLINE e LILACS utilizando-se dos descritores: SAÚDE MENTAL, IDOSOS, ISOLAMENTO SOCIAL. Teve um resultado inicial de 236 artigos, após um filtro e critérios de exclusão, foram selecionados 4 artigos, no qual abordavam o tema necessário sobre a saúde mental dos idosos, distanciamento social, mudança de rotina. Os principais impactos encontrados nessa revisão que obtiveram um destaque maior foram relacionados a depressão, estresse, ansiedade, medo da perda de entes queridos e sentimento de solidão.
CUIDADOS PALIATIVOS SOBRE A ASSISTÊNCIA DE ENFERMAGEM AOS PACIENTES IDOSOS COM A DOENÇA DE ALZHEIMER: UMA REVISÃO BIBLIOGRAFICA
Authors: Bevilaqua Maria Raymunda Castro , Souza Leila Nascimento de , Guerreiro Thayanne Sá Bezerra
Published: May 2024

A Doença de Alzheimer (DA) é uma condição neurodegenerativa progressiva e principal causa de demência entre idosos, destacando a importância dos cuidados paliativos na melhoria da qualidade de vida dos pacientes e suas famílias. Os cuidados paliativos, enfatizados pela abordagem multidisciplinar, visam aliviar o sofrimento e proporcionar suporte integral, focando no alívio da dor e outros problemas físicos, psicossociais e espirituais. A enfermagem desempenha um papel crucial, não apenas no manejo de sintomas físicos, mas também no apoio emocional e psicossocial aos pacientes e familiares, demandando profissionais bem preparados para atender às necessidades especiais desses pacientes. No Brasil, a implementação efetiva de cuidados paliativos enfrenta desafios, como a escassez de profissionais capacitados e a necessidade de maior integração entre os serviços de saúde. O estudo visa avaliar o impacto da assistência de enfermagem em cuidados paliativos para pacientes idosos com DA, através de uma revisão bibliográfica abrangendo estudos de 2014 a 2024. Ressalta-se a importância de uma abordagem que vá além da assistência técnica, engajando-se em práticas que considerem a complexidade da experiência humana diante da terminalidade, necessitando habilidades comunicativas, empatia, e conhecimento técnico para promover uma qualidade de vida digna até o final.
A KEBIJAKAN WORK FROM HOME DALAM PANDANGAN REMAJA STUDI FENOMENOLOGI PADA REMAJA KAMPUNG AMBULEUIT, KECAMATAN KARANGTANJUNG, KABUPATEN PANDEGLANG.
Authors: Novianto Mochamad Adam
Published: May 2024

Penelitian ini memiliki tujuan untuk mengetahui dampak dari kebijakan Work From Home kepada remaja di Kampung Ambuleuit, Kecamatan Karang Tanjung, Kabupaten Pandeglang. Fenomena ini dianalisa menggunakan studi fenomenologi dari Creswell untuk mengetahui secara jelas pengalaman-penagalaman yang dirasakan oleh remaja di Kampung Ambuleuit. Dengan begitu, informan yang diwawancara oleh penulis merupakan informan yang didapatkan dengan menggunakan teknik snowball sehingga penulis dapat mendapatkan informan yang sudah pasti mengalami Work From Home. Hasil yang didapat dalam penelitian ini adalah bahwa para remaja memiliki pandangan negatif terhadap Work From Home karena sangat menghambat kegiatan hingga pekerjaan mereka yang tidak bisa dilakukan secara luring, dengan adanya pandangan negatif ini para remaja tidak mematuhi kebijakan Work From Home sehingga akan berbahaya. Kesimpulan yang penulis temukan ialah bahwa pemangku kebijakan harus lebih memerhatikan proses berjalannya kebijakan serta perlu adanya petugas untuk melaksanakan hal tersebut.
Analisis Kebutuhan Sumber Daya Manusia Pemerintahan Desa Kesugihan Kecamatan Pulung, Kabupaten Ponorogo
Authors: Hilman Yusuf Adam , Alfrianto Redi Lutvian , Rohmawati Tatik
Published: May 2024

This study was conducted with the aim of analyzing the needs of government human resources in Sugihan Village, Pulung District, Ponorogo Regency based on Regulation and Law Number 6 of 2014. This type of research uses descriptive qualittaif, where all data is obtained from the results of interviews and documents in the village Sugihan. To obtain the validity of researchers' data using triangulation tests. In this study, the results of the study are known that the most ages that are village officials are 45-55, while the highest level of village apparatus education is high school graduates. From the results of the interview of Sugihan Village apparatus there is no self -development in increasing the competencies of the local government or from the sub -district level, there is limited human resources due to lack of participating in training or capacity building. This can be seen from the community development in Kesugihan Village which has not met the criteria in accordance with the law in terms of social development due to the lack of basic training that is followed and given by village officials. Therefore Sugihan Village must conduct training for village officials to create a device that can develop Sugihan Village.
Anti-Phishing: A Web Identifier for Spoofed Sites Using Neural Network
Authors:   UG students, Dept. of CS&E , JNNCE, Shivamogga, India., A P Akshatha
Published: May 2024

Phishing attacks persist as a significant threat to cybersecurity, exploiting deceptive websites to illicitly acquire sensitive user information. Conventional anti-phishing techniques often struggle to keep pace with the evolving sophistication of these attacks. An approach for detecting phishing websites using Long Short-Term Memory (LSTM) networks, a type of recurrent neural network (RNN) known for its ability to capture sequential dependencies in data.Method leverages the temporal dynamics inherent in website content and user interactions to discern between legitimate and phishing websites and constructed a comprehensive data-set comprising diverse samples of legitimate and phishing websites, ensuring the model's ability to generalize across various attack vectors.LSTM-based model exhibits resilience to adversarial evasion techniques commonly employed by attackers, demonstrating robustness in real-world scenarios and conducted extensive analysis to interpret the learned representations captured by the LSTM network, providing insights into the distinguishing features of phishing websites. Key Words:Phishing, Deep Learning,
AIR QUALITY MONITERING & ALERT SYSTEM
Authors:   EEE Department Vidya vikas institute of engineering & technology, S Varshith
Published: May 2024

This document provides an insight on air quality monitoring and alert system ,Air pollution poses a significant threat to global health, impacting respiratory and cardiovascular systems. This dissertation proposes an air quality monitoring and alert system to safeguard public health. The system leverages a network of sensors to collect real-time data on key pollutants like particulate matter, ozone, and carbon monoxide. This data is transmitted wirelessly to a blynk cloud for processing and analysis using advanced c++ programming algorithms. The system features a user-friendly interface accessible through web and mobile applications. It provides real-time air quality index (AQI) visualizations, and customizable alerts based on user-defined thresholds. Alerts can be disseminated through buzzer allowing individuals to take preventive measures during periods of poor air quality.
Revolutionizing Healthcare: AI-Driven Advances in EMR Management
Authors:   Dr D Y Patil Institute of Engineering, Management and Research, Akurdi, Pune, Pagar Surbhi
Published: May 2024

The integration of artificial intelligence (AI) and blockchain technologies signifies a significant paradigm shift within the healthcare domain, unlocking novel pathways for transformation. Conventional healthcare infrastructures grapple with challenges such as disjointed patient data, manual prescription processes, and restricted access to complete medical records. In response to these issues, our initiative presents an innovative solution that harnesses the synergies of AI and blockchain to establish a state-of-the-art healthcare framework. At its core, our mission revolves around the creation of a decentralized ecosystem that reimagines how patient records are managed and prescriptions are handled. By seamlessly blending AI algorithms with blockchain technology, our system aims to tackle pivotal challenges in healthcare, including addressing gaps in data interoperability, ensuring prescription accuracy, and facilitating streamlined access to comprehensive patient information. The foundational elements of this framework include decentralized data storage, AI-guided prescription generation, consolidation of extensive patient histories, user-centric design, robust data security, compliance with privacy regulations, and a steadfast commitment to ethical considerations. This exploration delves deep into the obstacles confronting traditional healthcare systems, presenting a thorough problem statement. It articulates the objectives of our proposed system, providing a transparent roadmap for confronting these challenges head-on. As we progress towards achieving these objectives, our project envisions a metamorphosed healthcare landscape characterized by heightened precision in medical decision-making, increased patient engagement, and overall enhanced efficiency. This endeavor holds the potential to revolutionize healthcare practices, empower healthcare professionals, and elevate the patient experience by seamlessly harnessing the convergence of AI and blockchain technologies. Keywords: Artificial Intelligence (AI), Blockchain, Healthcare, Decentralized, Electronic Medical Record (EMR), comprehensive patient history consolidation.
Sign language Detection and Recognization using Deep Learning
Authors:   Department of Information Technology, Sir Visvesvaraya Institute of Technology, Nashik, Maharashtra, India, Ghuge Prof. Archana
Published: May 2024

In our modern society, effective communication is crucial for social interaction, personal growth, and professional success. Yet, individuals with hearing and speech impairments often encounter significant obstacles in expressing themselves and understanding others, leading to communication barriers and social isolation. Sign language serves as a vital means of communication for the deaf and dumb community, allowing them to convey thoughts, ideas, and emotions through gestures and expressions. This research paper introduces a groundbreaking "Sign Language Detection and Recognition using Deep Learning" system to address these challenges. Utilizing Convolutional Neural Networks (CNN) and image processing techniques like Histogram of Oriented Gradients , our system accurately detects and interprets sign language gestures in real-time. Additionally, it features a two-way communication interface that facilitates seamless interaction between individuals with different communication modalities, enabling inclusive communication among deaf, dumb, and normal individuals. Through a comprehensive methodology encompassing data collection, preprocessing, model training, and system integration, our research aims to advance technology-driven solutions that promote inclusivity, equality, and dignity for individuals with hearing and speech impairments. By empowering effective communication and full participation in social, educational, and professional contexts, our research endeavors to create a more inclusive and accessible world for all members of society.
Using Cognitive IOT In Vehicle System for On Actual Time Monitoring of CO2 Emission with Temperature and Alcohol Detector
Authors:   Department of Mechanical Engineering  Wainganga College of Engineering and Management  Rastrasant Tukdoji Maharaj Nagpur University, Pardhi Mukesh Radhesham
Published: May 2024

One of the pressing environmental challenges we face today is the phenomenon of global warming, primarily driven by the release of greenhouse gases. Among these gases, carbon dioxide stands out as a significant contributor, with its emissions leading to a warming effect on the Earth's surface. Protecting our environment requires us to address and manage these changes effectively, presenting a considerable challenge. For long-term control of carbon dioxide emissions at their source, there is a growing recognition of the need for preventive and control technologies. This paper aims to employ IoT technology, utilizing Raspberry Pi's CO2 sensitivity, to monitor emissions from various sources such as public transportation, industries, and forest fires. Continuous monitoring of carbon dioxide levels within a city will help identify areas with the highest pollution levels. Additionally, this initiative seeks to implement an intelligent system for early detection of forest fires, also known as wildfires. These uncontrolled fires in natural areas pose significant threats to both ecosystems and human resources. It's noteworthy that wildfires emit more CO2 gas than initially assumed, impacting state climate targets. Integrating these efforts with IoT enhances security and enables various services, including the deployment of a Simple Notification Service (SNS) to alert mobile users about high CO2 levels in specific areas. Furthermore, this model aims to extend its capabilities to include the detection of temperature in heated vehicle components, such as engines, using temperature detectors. Moreover, alcohol detectors will be utilized to monitor alcohol consumption by vehicle drivers, enhancing safety measures on the road. Keywords: SNS (Simple Notification Service), IoT (Internet of Things), GPS (Global Positioning System), GVG (Green Vehicle Guide), MAQUMON (Mobile Air Quality Monitoring Network).
Review Paper – “Recruitment Policies And Procedures In Organizations And Companies ”
Authors:   ARMIET, Mumbai University,, Pandey Richa
Published: May 2024

Human resource management (HRM) is the practice of recruiting, hiring, deploying and managing an organization's employees. HRM is often referred to simply as human resources (HR). A company or organization's HR department is usually responsible for creating, putting into effect and overseeing policies governing workers and the relationship of the organization with its employees. The term human resources was first used in the early 1900s, and then more widely in the 1960s, to describe the people who work for the organization, in aggregate. HRM is employee management with an emphasis on employees as assets of the business. In this context, employees are sometimes referred to as human capital. As with other business assets, the goal is to make effective use of employees, reducing risk and maximizing return on investment (ROI). The modern term human capital management (HCM) is often used by large and midsize companies when discussing HR technology. Human resource management is meant for proper utilization of available skilled workforce and also to make efficient use of existing human resource in the organization. The best example in present situation is, construction industry has been facing serious shortage of skilled workforce. It is expected to triple in the next decade from the present 30 per cent, will negatively impact the overall productivity of the sector, warn industry experts. Today many experts claim that machines and technology are replacing human resource and minimizing their role or effort. However, machines and technology are built by the humans only and they need to be operated or at least monitored by humans and this is the reason why companies are always in hunt for talented, skilled and qualified professionals for continuous development of the organization.
Fast Identity Online 2 :Authentication Technique
Authors:   Department of CSE, JNN College of Engineering, R M Bhavana
Published: May 2024

Fast Identity Online 2 (FIDO2) emerges as a transformative solution to the vulnerabilities inherent in traditional password-based authentication methods. Leveraging public key cryptography and authenticators, it establishes a passwordless authentication paradigm, extending its relevance beyond web applications to diverse realms such as online payments and government services. This paper explores FIDO2's emphasis on a seamless user experience while bolstering security measures through innovative credential management techniques. The acceptance of FIDO2 on major browsers ensures its usability on mobile devices, with most modern devices equipped to support FIDO2 authentication, thus expanding its reach and applicability. Additionally, its adoption by major tech companies and standards bodies underscores its credibility and potential for widespread adoption. However, challenges remain, including overcoming legacy systems, addressing compatibility issues, and ensuring user education. Despite these challenges, FIDO2 represents a significant advancement in online authentication, offering strong security, usability, and privacy features, positioning it as a key enabler of the passwordless authentication paradigm. Keywords: Public key cryptosystem, challenge, relying party, web browser and web authentication.
Exploring the Role of Customer Relationship Management in Enhancing Customer Engagement
Authors: Bharti Julee
Published: May 2024

In this competitive market, customer is the most important property in an organization. It is not surprising that customer relationship management is increasingly used by the organizations to support different type of their customer. Customer is a source of information which is necessary for implementation of marketing strategy. According to changes in market place and active participation of customers in communicating marketing activities, customer relationship management becomes important. Customer relationship management is a phrase that describes how a firm interacts with customers. Most people think of customer relationship management as a system to capture information about customers. However, that is only part of the picture. Customer relationship management involves using technology to gather the intelligence you need to provide improved support and services to your customers. We reviewed previous studies, and identify these benefits which will be affected on customers. Our result will help the managers and companies to know and recognize the benefits of customer relationship management which are more significant for their customers. Keywords: Customer, Customer Relationship Management
PLANT DISEASE RECOGNITION USING VGG-16
Authors:   Sri Shakthi Institute of Engineering and Technology Coimbatore, India
Published: May 2024

Agriculture and modern farming is one of the fields where IoT and automation can have a great impact. Maintaining healthy plants and monitoring their environment in order to identify or detect diseases is essential in order to maintain a maximum crop yield. The implementation of current high rocketing technologies including artificial intelligence (AI), machine learning, and deep learning has proved to be extremely important in modern agriculture as a method of advanced image analysis domain. Artificial intelligence adds time efficiency and the possibility of identifying plant diseases, in addition to monitoring and controlling the environmental conditions in farms. Several studies showed that machine learning and deep learning technologies can detect plant diseases upon analyzing plant leaves with great accuracy and sensitivity. In this study, considering the worth of machine learning for disease detection, we present a convolutional neural network VGG-16 model to detect plant diseases, to allow farmers to make timely actions with respect to treatment without further delay. To carry this out, 19 different classes of plants diseases were chosen, where 15,915 plant leaf images (both diseased and healthy leaves) were acquired from the Plant Village dataset for training and testing. Based on the experimental results, the proposed model is able to achieve an accuracy of about 95.2% with the testing loss being only 0.4418. The proposed model provides a clear direction toward a deep learning-based plant disease detection to apply on a large scale in future. Keywords—Machine learning; VGG-16; disease detection; convolutional networks; Plant Village; modern farming. Keywords—Machine learning; VGG-16; disease detection; convolutional networks; Plant Village; modern farming.
Language Translation Tool
Authors:   M. Visvesvaraya Institute of Technology,Bangalore-562157
Published: May 2024

The Language Translation Tool project aims to develop an advanced, user-friendly software application that facilitates accurate and efficient translation between multiple languages. Leveraging the latest advancements in neural machine translation (NMT) and artificial intelligence (AI), the tool is designed to overcome the limitations of traditional translation methods, providing high-quality translations in real-time. The core of the tool is built on state-of-the-art transformer models, such as OpenAI's GPT-4 and other comparable architectures, which have been fine-tuned on extensive multilingual datasets. This allows the tool to not only translate text with remarkable accuracy but also to understand context, idiomatic expressions, and cultural nuances, ensuring that the output is both grammatically correct and contextually appropriate. Key features of the Language Translation Tool include: The project also emphasizes data privacy and security, ensuring that user data is handled with the utmost confidentiality and compliance with international data protection standards. In conclusion, the Language Translation Tool project represents a significant step forward in bridging language barriers, fostering global communication, and promoting cross-cultural understanding through innovative technology. The successful implementation of this tool promises to revolutionize how individuals and organizations interact in an increasingly interconnected world.
THE REAL TIME HIGH PRECISION CRIMINAL FACE RECOGNITION FOR ATM SECURITY IN DEEP LEARNING
Authors:   epartment of CSE Assistant Professor, Dhanalakshmi Srinivasan Engineering College, Perambalur
Published: May 2024

The proposed ATM security system, utilizing composable deep face recognition, emphasizes user protection during transactions with a specific focus on eye retina accuracy. In the event of a potential threat identified through real-time face detection and tracking, an automatic alert is initiated. Prioritizing precision, the system employs advanced face detection algorithms for accurate location and tracking, even in dynamic scenarios. A down sampling technique ensures efficient processing of facial data, crucial for meticulous identification in crowded ATM locations. The integration of a face tracking ID unit enhances accuracy, providing continuous monitoring and persistence in identification, particularly focusing on the distinctive patterns in the eye retina. The scoring method, rooted in face tracking and embedding distance, significantly elevates user identification reliability, minimizing the risk of false positives, especially in criminal identification based on unique eye retina features. In response to potential threats, the system promptly generates automatic alerts and dispatches secure emails to relevant entities, including the affected card user, the respective bank, and cybersecurity authorities. These emails include comprehensive information, such as a high-precision image of the detected criminal's face, detailed facial recognition data, and a thorough summary of their known criminal history. This accuracy-driven and retina focused approach enhances safety, emphasizing continuous refinement and adherence to privacy and ethical considerations during implementation. KEYWORDS: Crime prevention, down-sampling, face recognition.
DESIGN AND IMPLEMENTATION OF SMART ELECTRIC FENCE BUILT ON SOLAR WITH AN AUTOMATIC IRRIGATION SYSTEM
Authors: ROHINI P.
Published: May 2024

The agricultural sector faces significant challenges due to crop damage caused by animals, resulting in substantial financial losses and maintenance efforts for farmers. To mitigate this issue, a smart electric fence is proposed, energized upon animal approach and deactivated upon their retreat. The system administers minimal shock pulses to immobilize animals harmlessly. Additionally, an automated irrigation system is integrated, activating the pump during dry soil conditions and deactivating it when soil moisture is sufficient. Solar energy powers the entire system. The prototype features infrared sensors distributed across the fence, detecting approaching animals. A high-frequency switching transformer generates shock pulses, controlled by an IC 555 configured in an astable mode. The Arduino Nano serves as the main processing unit, displaying soil moisture and motor status on an LCD and transmitting data via Wi-Fi to a smartphone app. The system aims to provide efficient and sustainable solutions to agricultural challenges.
Assessing the Effectiveness of Digital Media Marketing on Real Ispat Performance
Authors: Dora, Ms. Sneha
Published: May 2024

In today's digital age, the efficacy of digital media marketing channels in amplifying brand messaging and influencing consumer perceptions has become increasingly vital. This paper examines the digital marketing strategies employed by Real Ispat and their impact on brand visibility, customer engagement, and business performance. Using a case study approach, the study delves into the specific digital marketing initiatives implemented by Real Ispat across various channels, including social media, website optimization, and online advertising. It analyzes the effectiveness of these strategies in reaching the target audience, enhancing brand awareness, and driving customer acquisition and retention. The paper also evaluates key performance metrics and indicators to assess the overall impact of Real Ispat's digital marketing efforts on its business outcomes. Keywords: Digital marketing, Real Ispat, social media, brand visibility, customer engagement, business performance
AI Based Model for Prediction of Heavy/High Impact Rain Events
Authors: Srivastava Aviral
Published: May 2024

India is a farming country whose economy is heavily reliant on the development of rainforests. In order to analyse agricultural yields, rainfall estimates are essential and fundamental for all ranchers. The ability to predict the climate with the aid of science and innovation is unsurprising rainfall. To effectively use water resources, horticulture production, and water arranging, it is important to determine the amount of rainfall. Rainfall can be predicted using a variety of information mining techniques. The process of information extraction is used to evaluate rainfall. Probably the most well-known rainfall forecast calculations may be found in this article. Some of the computations compared with this record include Logistic Regression, K-Neighbors Classifier, Random Forest Classifier, and Certificate Tree. It is possible to decompose the process of precisely predicting rainfall from a relative standpoint. To do this, we gathered satellite data. We have taken a number of variables into account in order to predict (temperature, dew point, humidity, wind pressure, wind speed, wind direction, etc.). Key Words: Random Forest Classifier, KNeighbors Classifier, Logistic Regression, Oversampling, Under sampling, and Rainfall Prediction.
EXAMINING THE IMPACT OF PRODUCT QUALITY ON CUSTOMER SATISFACTION, LOYALTY, AND REPEAT PURCHASE BEHAVIOR
Authors: Sainy Dr. Monica
Published: May 2024

In today's highly competitive business environment, providing high-quality products is no longer a luxury but a necessity for organizations seeking to build strong customer relationships and to promote sustainable growth. This paper investigates the central role of product quality on customer satisfaction, loyalty, and repeat purchase behavior. By examining the impact of different aspects of product quality on these key indicators, this study aims to provide valuable insights for companies looking to improve customer relationships and achieve long-term success. The results of this study are expected to highlight the significant influence of product quality on customer satisfaction, loyalty, and repeat purchase behavior, factors such as performance, Reliability, durability and perceived quality appear to be key factors in these results. Key Words: Product Quality, Customer Satisfaction, Loyalty, Repeat Purchase
A Study on Employee Relationship Management
Authors: Ershad, S.Md.
Published: May 2024

Recent studies highlight the importance of employee relationship management in the context of strategic human resources management, outlining the role of organizational context. Accordingly, the paper presents an employee performance appraisal conceptual framework including the role of contextual factors, where strategic human resources management plays a key role. Moreover, the model includes two sets of procedural and representative basic performance criteria, as well as a new category of profile performance criteria as the foundation for developing flexible, customized and meaningful employee performance appraisal systems and processes aimed at improving individual and organizational overall performance. Keywords—Conceptual model, organizational context, employee relationship performance criteria.
A STUDY ON ETHICAL RAMIFICATIONS OF UTILIZING AI IN TALENT SOURCING
Authors: PM PORKODI
Published: May 2024

This study investigates the ethical implications of using AI in talent acquisition, focusing on biases in AI algorithms, transparency, privacy of candidate data, the balance between AI automation and human oversight, and societal impacts on employment and diversity. Leveraging technologies like NLP, machine learning, and predictive analytics, it aims to improve recruitment strategies while ensuring compliance with regulations like GDPR. Through descriptive research and various statistical methods, the study identifies benefits and concerns of AI in recruitment. Recommendations include enhancing transparency, prioritizing data privacy, fostering diversity, and establishing accountability to ensure ethical practices in organizations.
A STUDY ON THE IMPACT OF PAYROLL ON EMPLOYEE’S FINANCIAL WELLNESS IN CODEBOARD TECHNOLOGY PRIVATE LTD
Authors: S SHARMILA
Published: May 2024

This study explores how payroll deductions impact employee financial wellness at Code Board Technology. It assesses their influence on perceived income stability, financial stress, attitudes, and disposable income. The research adopts a multidimensional approach, evaluating savings behavior, debt management, budgeting skills, stress levels, and overall satisfaction. Various deduction types are examined, including taxes, insurance premiums, retirement contributions, and loan repayments. Data from 148 employees were analyzed using various statistical tests and tools. The findings shed light on challenges and perceptions related to deductions, suggesting implications for enhancing both employee financial wellness and organizational practices.
YOLO-FaceNet Fusion: Innovative System for Facial Recognition and Feature Extraction
Authors: Kumar Mr. Mukesh
Published: May 2024

Facial verification is vital in domains like Heathcare, Identity verification, etc. study presents a sophisticated facial verifying system utilizing state-of-the-art technologies: ArcFace is utilized for the edification of the model, while FaceNet is employed for the elicitation of facial characteristics. Initially, YOLO is deployed to discern and extricate visages from the input effigies. Subsequently, FaceNet is utilized to derive high-caliber facial attributes. In the final stage, ArcFace is employed for the model's edification, thus augmenting its robustness and precision. The apparatus gauges facial resemblance employing the Euclidean distance metric and is appraised through measures such as recall, accuracy, and precision. This approach yields a dependable and accurate facial verification system, thereby enhancing operational efficiency in practical applications.. Keywords – You Only Look Once (YOLO), ArcFace, Convolutional Neural Network (CNN), FaceNet, Machine Learning, Deep Learning, Euclidean Distance.
EMPLOYEE PERCEPTION ABOUT ORGANIZATIONAL HR PRACTICES AND ITS CULTURE
Authors: Shalini, Dr. P.
Published: May 2024

A study on employee perception about organizational HR practices and culture at IWL India Private Limited. This study explores employee perceptions of organizational HR practices and culture and their impact on employee satisfaction and engagement. The research aims to understand how employees perceive various HR practices, such as recruitment, training, performance management, and compensation, and how these practices influence their perceptions of the organization's culture. The study also examines the relationship between employee perceptions of HR practices and their job satisfaction, organizational commitment, and intention to stay with the organization. The research adopts a descriptive research design to analyze the perspectives of 200 employees through a survey questionnaire. Using SPSS 16 for data analysis, quantitative research methodology is used. The questionnaire assesses the overall HR practices and culture. The transparency, flexibility, monetary rewards and remuneration, HR practices and culture which makes task easier and comfortable, and employee’s opinions and ideas in the study. The findings aim to provide insights into how employees perceive these practices and their impact on organizational culture. This study contributes to the existing literature by offering a comprehensive analysis of employee perceptions, which can guide organizations in improving their HR practices and fostering a positive organizational culture. Key Words: HR practices, organisational culture
RESEARCH ON BRAND ANALYSIS OF NEXA
Authors: URMALIYA SHIVAM
Published: May 2024

The analysis of NEXA as a Premium Brand is the goal of this study. Maruti Automobile Brands are not regarded as premium brands, as is well known. As the primary target market since the company's founding, the Indian market is seeing significant growth in sales and recognition for the distinctive and prominent Indian brand NEXA. India's top automaker, Maruti Suzuki, has done a great job of holding onto its coveted title for a number of years. Nevertheless, Maruti Suzuki was not expected to control more than 60% of the market when the industry was opened up in the early 1990s. This business was not without its share of issues, though. Perception was the main problem the organization was dealing with at the time. Maruti's sincere attempt to appeal to a tech-savvy and brand-conscious generation of customers is NEXA, the next generation showroom.
DIVERSITY AND INCLUSION TOWARDS ORGANISATIONAL COMPETITIVENESS
Authors: Shalini Dr .P.
Published: May 2024

Diversity and inclusion in the workforce are thought to benefit organizations because they increase the breadth of perspectives and areas of expertise. The aim of this research is to consolidate the diverse literature on workforce diversity and inclusion and to provide insights into potential future directions for workforce diversity management research. The review of workforce diversity and inclusion in the paper makes use of secondary data that was collected. The evaluation made it quite evident what the modern period means for diversity and inclusion in the workforce. The review's conclusions indicate that a substantial amount of study has been done on diversity and its effects. Further Since inclusion is a relatively new area of study, more research is required to fully understand its consequences. This study looks at how well literature reviews work to expand on what is already known about a particular topic and help researchers come up with ideas for new research directions. Originality/value: This study offers a theoretical framework for managing important diversity and building diverse companies. Quantitative data was collected using the non probability, self administated questionnaire that consisted of influencing factors are identified and also using parametric test (ANOVA, correlation) and non parametric test (U test, correlation,Run test) analysis tools suitable interpretation was found it make positive change. Key words: Diversity and inclusion, dimension, environmental challenges, strategies adoption, inclusive practices, engagement.
Examining the Significance of Communication in the Context of Future Engineers: A Comparative Analysis
Authors:   Kirkuk Engineering Technical College/ Northern Technical University/ Iraq, K. Saleh Intisar
Published: May 2024

The study looks at how engineering teams may use communication to innovate, emphasising how important it is to communicate throughout the project's ideation and implementation phases. It looks into how effective communication can encourage the exchange of ideas, spark creative thinking, and lead to the development of ground-breaking solutions for difficult technical challenges. The study also looks into how communication impacts project management practices, highlighting how crucial it is for setting clear objectives, monitoring due dates, and lowering risks. The research emphasises the critical relationship between communication skills and project performance in engineering pursuits by elucidating these connections. The ethical implications of communication in the engineering domain are also examined, with a focus on issues of honesty, integrity, and openness in interpersonal interactions. Through bringing these moral issues up in conversation, the study provides a thorough grasp of the function of communication in engineering practice and education. In order to cultivate a new generation of proficient communicators who will be able to foster innovation and growth in the sector, it also provides stakeholders in academia and industry with helpful ideas.
Analisis Manajemen ResikoPada Pembangunan Gedung "X"
Authors: Lima krisnan Nandan , Raidyarto Adri , Irianto Irianto , Fauzi Mohammad , E. Lapian Franky , Indrawati Clasinamaya
Published: May 2024

Manajemen risiko telah dipelajari dan diperkenalkan berbagai literatur, yang termasuk dalam proses manajemen risiko, identifikasi risiko, analisis risiko, respon risiko, dan pemantauan risiko. Dalam proyek konstruksi bangunan, penilaian risiko dilakukan dari perspektif teknis dan non-teknis. Dari sisi teknis, risiko yang dinilai mulai dari peralatan berat yang digunakan, keselamatan pekerja, material, dan kualitas pekerjaan, sedangkan dari segi nonteknis, dinilai risiko yang timbul dari aspek lingkungan, sosial ekonomi, hukum dan kelembagaan serta keuangan. Tujuan dari penelitian ini adalah Mengetahui risiko-risiko potensial yang mungkin timbul selama pelaksanaan proyek konstruksi Gedung X dan Mengetahui kemampuan mitigasi risiko pada proyek dan pengambilan keputusan dengan memberikan informasi yang akurat dan relevan mengenai risiko-risiko yang dihadapi dengan metode skala likert dan penyebaran kuisioner dengan hasil pengumpulan data sumber daya manusia, sumber daya alat dan kuisioner dengan menganalisa data menggunakan identifikasi risiko, analisis probabilitas risiko dan matriks risiko.
Influence of Motivation and Work Environment on Employee Performance
Authors: Ikhsan Muhamad Nurul , Machmud Senen , Manik Ester , Danasasmita Windi Matsuko
Published: May 2024

This study aims to analyze the impact of motivation and work environment on employee performance. It employs Descriptive and Verification Methods. The data source utilized in this study consists of a questionnaire administered to employees of a fashion firm located in Bandung. The research has a sample size of 35 respondents.
The research employs Descriptive and Verification Methods as its statistical methodologies. The initial step involves employing Correlation Data Analysis, Path Analysis, and Coefficient of Determination Analysis, with assistance from the SPSS (Statistical Product and Service Solution) program version 26. After conducting a comprehensive study of the data collected, the Motivation, Work Environment, and Employee Performance at a fashion company in Bandung are categorized as somewhat reasonable. The R Square number indicates that it is 75.5%. Employee Performance is primarily influenced by Motivation and Work Environment, accounting for 75.5% of the overall impact. The remaining 24.5% is attributed to unexplored factors. In addition, Motivation has a lesser impact, accounting for 42.3% of the total influence, in contrast to the Work Environment, which has a total influence of 50.6%. Companies should prioritize creating a conducive work atmosphere while striving to optimize Motivation in a fashion company in Bandung.
Influence of Transformational Leadership and Organizational Culture on Employee Performance
Authors: Farras M. Faishal , Hadian Dedi , Hardiyana Aan
Published: May 2024

This study utilized SPSS 16 software for research analysis. Its objective was to examine the impact of transformational leadership and organizational culture on employee performance. This research intends to analyze the elements that exert the most significant influence on employee performance, specifically the relationship between transformational leadership, organizational culture, and employee performance. The analysis will be conducted utilizing a questionnaire administered to 30 respondents.
Research utilizing path analysis indicates that the variable of transformational leadership (X1) exerts a direct influence of 41.3% and an indirect influence through its link with organizational culture (X2) of 12.3%, resulting in a total influence of 53.6%. The variable of organizational culture (X2) has a direct impact of 12.9% and an indirect impact through its association with transformational leadership (X1) of 12.3%. The total impact is 25.2%. The research findings demonstrate that the coefficient of determination (R-square), expressed as a percentage, highlights the significant impact of both transformational leadership (X1) and organizational culture (X2) on the employee performance variable (Y), accounting for 78.8% of the variance. It is important to note that there may be other factors that also influence performance. Employees (Y) who were not included in the study are represented by an epsilon value of 21.2%. The research findings suggest that focusing on transformational leadership and organizational culture can enhance employee performance in a publishing and book trading company located in Bandung. It is recommended that more attention be given to these factors.
The impact of participatory Islamic finance on Shari'ah banks' profitability
Authors: Kulmie Dayah Abdi , Omar Mahdi Mohamed
Published: May 2024

Shari'ah Banks offer financing based on Islamic values, fairness, equity, and ethics, promoting stable economies and prosperous societies through employing a variety of methods, including participatory finance. The aim of this research is to investigate how participatory financing impacts the profitability of Shari'ah banks in Somalia. Specifically, the study focused on analyzing the influence of mudarabah and musharakah financing on Islamic banks' profitability. The research employed a correlational design to examine the relationship between variables, and primary data was analyzed using SPSS. The results of this study indicate a strong positive correlation between participatory Islamic financing and the profitability of Shari'ah Banks. The findings suggest that both mudarabah and musharakah financing have statistically significant positive effects on the profitability of Shari'ah Banks. According to the findings, the study concluded that an increased implementation of participatory Islamic financing methods could potentially enhance banking institutions' profitability and performance. Moreover, the article recommends that Shari'ah banks should expand their services, increase product exposure to attract new customers, promote participatory Islamic financing, and develop clear risk-handling policies and strategies. This paper adds valuable insights to the existing literature on Islamic banking and finance while also providing guidance for Islamic financial institutions to improve their profitability, growth, and performance through participatory Islamic finance.
Some Observations on Definitions of Legal Terms
Authors: Tumenjargal Davaasuren
Published: May 2024

Legal terminology is a specialized lexical unit used in legal language. Thus, the terminology of the legal field should be rational, clear and understandable. In this article, we aimed to analyze the grammatical and stylistic errors in the definitions of 1368 terms (249 laws) in the “Legal Terms” menu of the Mongolian legal database www.legalinfo.mn, and whether the requirements of the definition of the term are met the standard, whether the concepts are fully expressed from the cognitive point of view, whether it is concise, clear and understandable from the user’s point of view, and to give opinions on the issues to be considered in the future. According to the results of the study, the definition of terms in the unified database of legal terms has orthographic and stylistic errors, concepts are incorrectly expressed, and the terms do not meet the international standard requirements with no fixed models.
Keywords: Legislation, legal terms, definitions, concepts, cognition, terminology standards.
Хуулийн нэр томьёоны тодорхойлолтод хийсэн зарим ажиглалт
Хураангуй: Хуулийн нэр томьёо хууль зүйн хэм хэмжээг боловсруулахад хэрэглэдэг мэргэжлийн онцлог бүхий үгийн сангийн нэгж тул оновчтой, тодорхой, ойлгомжтой байх ёстой. Иймээс Монгол Улсын эрх зүйн мэдээллийн нэгдсэн сан www.legalinfo.mn-ийн “Хуулийн нэр томьёо” цэсийн 1368 нэр томьёоны тодорхойлолт (249 хуулийн)-ыг хэлний талаас зөв бичих дүрмийн болон найруулгын алдаа буй эсэх, танин мэдэхүйн талаас ухагдахууныг бүрэн илэрхийлсэн эсэх, стандартын талаас нэр томьёоны тодорхойлолтын шаардлага хангасан эсэх, хэрэглэгчид товч, тодорхой, ойлгомжтой эсэхэд задлан шинжилгээ хийж, цаашид анхаарах асуудлын талаар санал дүгнэлт өгөхийг зорилоо. Судалгааны дүнгээс үзэхэд, хуулийн нэр томьёоны нэгдсэн санд буй нэр томьёоны тодорхойлолт нь хэлний талаас зөв бичих дүрмийн болон найруулгын алдаатай, танин мэдэхүйн талаас зарим нэр томьёоны тодорхойлолт ухагдахууныг буруу томьёолж алдаа гаргасан, стандартын талаас тогтсон нэг загваргүй, шаардлагад нийцээгүй, хэрэглээний талаас ойлгомжгүй зэрэг алдаа дутагдалтай байна. Түлхүүр үг: хууль тогтоомж, хуулийн нэр томьёо, тодорхойлолт, ухагдахуун, танин мэдэхүй, нэр томьёоны стандарт