bluuebunny/crossref_metadata_2025 huggingface dataset:
FIBROMYALGIA BEYOND PAIN: THE POSSIBILITIES OF CORTICAL ELECTRICAL ASSESSMENT TO DIRECT TREATMENT
Authors: Melo Géssika Araújo de , Madruga Marcela Laís Lima Holmes , Torro Nelson
Published: May 2024

O presente estudo investigou a relação entre a atividade elétrica cortical em repouso e o desempenho cognitivo em mulheres com fibromialgia (FM). Para tanto, foram utilizados dados extraídos de um ensaio clínico randomizado, envolvendo 31 mulheres com diagnóstico de FM. Os resultados evidenciaram que um melhor desempenho cognitivo estava associado a uma maior potência das oscilações de alfa 1 e alfa 2 nas regiões frontal, parietal e occipital. Esses resultados sugerem que a dor crônica pode afetar não apenas a percepção sensorial, mas também a capacidade cognitiva. Além disso, a relação entre mudanças nas oscilações de alfa e os níveis de depressão, ressalta a interconexão entre estado emocional, percepção da dor e cognição na FM. Essas descobertas têm implicações para o manejo clínico da FM, destacando a importância de considerar as manifestações cognitivas e emocionais, e sugerem o potencial da neuromodulação, para melhorar tanto a dor quanto a função cognitiva, embora mais pesquisas sejam necessárias para entender melhor os mecanismos envolvidos.
PENGARUH DUKUNGAN ORGANISASI, GAYA KEPEMIMPINAN, DAN KECERDASAN EMOSIONAL TERHADAP KINERJA KARYAWAN DINAS LINGKUNGAN HIDUP KOTA SURAKARTA
Authors: Ely Kurniawati  , Ambyah Atas Aji
Published: May 2024

In this study, the authors aimed to determine organizational support, leadership style, and emotional intelligence on the performance of employees of the Surakarta City Environmental Service. Organizational Support (X1), Leadership Style (X2), Emotional Intelligence (X3), Employee Performance (Y). This research is a quantitative case study. Primary data obtained by questionnaire method from a sample of 100 respondents. The analysis technique used is multiple linear regression test, T test, F test, and coefficient of determination test. The results of this study indicate that organizational support, leadership style, and emotional intelligence have a significant effect on the performance of employees of the Surakarta City Environmental Service both partially and simultaneously.
ANALISIS PENGARUH KOMUNIKASI, LINGKUNGAN KERJA, DAN MOTIVASI KERJA TERHADAP KINERJA KARYAWAN (Studi Kasus pada PT Smartfren Telecom Tbk di Sragen)
Authors: Tri Agung Bawono  , Budiwinarto Kim
Published: May 2024

This study aims to determine the effect of comunication, work environment, and work motivation on employees performance at PT Smartfren Telecom Tbk in Sragen for the 2018-2021. This research is a quantitative assessment of the data collection method used in this study using a questionnaire by giving a set of questions or written questions to the respondent to answer. The analysis technique used is multiple linear regression model, t-test, F-test, and the coefficient of determination. The results of the analysis show that there is no effect of communication on employee performance. The influence of the work environment also has positive results and the influence of motivation on employees also has positive results in the company. When these variables have a positive effect and increase company productivity. These things indicate that the communication of work environment motivation is significant and improve employee performance and develop the idea of commitment and responsibility at work.
MEDICAL SURVEILLANCE ROBOT
Authors:   Associate Professor of Department of Mechanical Engineering, Nadimpalli Satyanarayana Raju Institute of Engineering and Technology (Autonomous), Visakhapatnam – 531173., BABU V. ANANDA
Published: May 2024

This project presents the design and fabrication of a Medical Surveillance Robot which aims at enhancing healthcare monitoring in clinical setting. The robot is equipped with various components and an imaging device to capture vital signs and ensuring seamless mobility in providing the patients with their required medicines and required meals and assisting the medical staff in various important roles and tasks. Through the integration of robotics and engineering, this project aims to revolutionize the response to situations like the covid pandemic minimizing human interference to infectious agents and maximizing operational efficiency and safety protocol.
Vehicle Accident Alerting System
Authors:   Controller of Examination & Professor of Mechanical Engineering Department, Nadimpalli Satyanarayana Raju Institute of Engineering and Technology (Autonomous), Visakhapatnam – 531173., Kumar Dr. G. Vijay
Published: May 2024

This journal presents a detailed exploration of the design, development, and implementation of a vehicle accident alerting system aimed at significantly enhancing road safety and improving emergency response to accidents. The system employs a multi-faceted approach, integrating advanced sensor technology, real-time data processing algorithms, and efficient communication protocols to detect accidents promptly and notify emergency services and relevant stakeholders. The core components of the system include sensors strategically installed within vehicles to monitor motion, orientation, and environmental conditions. These sensors provide raw data, which is processed in real-time using sophisticated algorithms to detect patterns indicative of potential accidents. The system incorporates confirmation mechanisms to reduce false positives and accurately assess the severity of detected events. Key Words: Accident detection, alert system, GPS, GSM, Accelerometer, Android application.
HELMET RULE VIOLATION DETECTION USING DEEP LEARNING
Authors: V Mrs.  Veena
Published: May 2024

The widespread non-compliance of helmet-wearing regulations among motorcyclists in India poses a significant threat to road safety. This paper introduces a new approach to address this issue through the developing a Helmet Rule Violation Detection system. Given the challenges faced by traffic police in enforcing helmet regulations, the proposedsystem leverages computer vision techniques to automatically identify motorcyclists without helmets. The methodology involves the detection of moving vehicles through thresholding, followed by a classification process based on area and aspect ratio to distinguish between motorcyclists and non-motorcyclists. The subsequent identification of helmet violation is achieved by isolating relevant blobs and employing a classification mechanism. By automating this process, the system aims to reduce the burden on traffic police and enhance the overall safety of road users. The proposed approach not only contributes to the mitigation of helmet rule violations but also promotes responsible road behavior, fostering a safer and more compliant traffic environment in India.
AI Health Chatbot using ML
Authors:   Btech-CSE Student, IIMT College of Engg, Greater Noida, UP, India, KR Prahlad
Published: May 2024

This project aims to develop a personalized and interactive healthcare chatbot leveraging natural language processing and machine learning. It offers tailored advice based on user symptoms, medical history, and preferences. Integrated with healthcare databases, it provides reliable information and services like symptom analysis, triage recommendations, medication details, and personalized health tips. Seamlessly accessing patient records and appointment schedules within existing healthcare systems ensures a cohesive user experience. The AI healthcare chatbot optimizes services by reducing communication burdens, improving information accessibility, and enhancing patient engagement. Preliminary evaluations demonstrate promising results in user satisfaction and healthcare administration efficiency gains. Keywords: Healthcare chatbot, Symptom analysis, Disease Prediction, Medication information and Machine learning.
A Study on Virtual Local Area Network (VLAN) Management
Authors:   Department – Inft, Vesit, Chembur Mumbai - 400074, Jaiswar Amar Bahadur Haricharan
Published: May 2024

This article consists of the implementation of a VLAN network in the education sector like College & school. The objective is to increase information security & avoiding broadcasting in networks, as well as to improve and optimize user data, and this is achieved through the development and use of different protocols, restrictions, and methods that helped to achieve this purpose. These phases focused on analyzing, developing, and improving the different processes for designing and implementing a VLAN network topology. As a technique, an interview was conducted with the person who handled the college network expressing their opinion on the college's problems under study. Data processing was carried out at a qualitative level using HA SOPHOS XGS 5500 FIREWALL DEVICE and managed switches, which allowed internet access to all students and staff. This information was used to obtain the data for the research work. The result was a slow bandwidth and broadcasting in network with the system they are currently using. In addition, the conclusion obtained was that in view of the existing problems, the experts indicated that the proposal related to the implementation of a VLAN Network would meet the desired expectations, providing security to the information, so they consider it a feasible and appropriate option that would be a great alternative for the improvement of the college. Keywords: VLAN network, IP address allocation, Information security, Network topology, Inter Switch Link,Top-down methodology.
Enhancing Loan Prediction Accuracy: A Comparative Analysis of Machine Learning Algorithms with XAI Integration
Authors: B .Meenakshi,
Published: May 2024

The contemporary financial landscape necessitates loan recommendation systems that offer both accuracy and transparency. Conventional assessment methodologies often suffer from limitations in efficiency and transparency, leading to potential risks for both lenders and borrowers. This research proposes the development of a novel loan recommendation system that leverages the power of machine learning (ML) and Explainable Artificial Intelligence (XAI). The paper delves into the processes of data collection, preprocessing, model training, evaluation, and subsequent integration into a web application using the Flask framework. The employed datasets encompass a variety of loan types, with the study aiming to identify the most effective ML algorithms from a selection that includes XGBoost, CatBoost, Random Forest, Gradient Boosting, and Logistic Regression. To enhance the system's transparency, Explainable AI methods, such as LIME, are incorporated. The culmination of this research is a web application that facilitates personalized predictions regarding loan eligibility, accompanied by clear explanations. Index terms - Loan Recommendation System, Machine Learning, Explainable AI, XGBoost, CatBoost, Random Forest, Gradient Boost, Logistic Regression,LIME.
Case Study on- “Recruitment and Selection Process” at Unique Rotopack Pvt Ltd
Authors:   Master of Business Administration (MBA)  Rai School of Management Studies, Asodiya Mr. Maulikkumar Babubhai
Published: May 2024

Role of Human Resource Management is important Function concerned with organizational activity aimed at Betterment of Employee’s performance as individuals and groups in organizational Settings. Recruitment and selection is the process of attracting individuals on a timely basis in sufficient numbers and with appropriate qualification, to apply for jobs within an organization. The process of searching prospective employees with multidimensional skills and experience that suits organization strategies in fundamental to the growth of the organization, this demands more comprehensive strategic perspective recruitment. Organizations require the services of large number of personnel, these personnel occupies the various positions created to the process of organization. Each position of the organization has certain specific contributions to achieve the organizational objectives. The recruitment process of the organizational has to be strong enough to attract and select the potential candidates with right job specification. The recruitment and selection process begins with human resource planning and concludes with the selection of required number of candidates, both HR staff and operating managers have responsibilities in the process. People are internal part of an organization today. No organization can run without its Human Resource In today highly complex and competitive situation, choice of right person at the right place at the right time has far implication for an organization’s functioning. An employee well selected and well placed would not only contribute to the efficient running of the organization but also offer significant potential for future replacement Thus hiring is an important function. Recruitment Programs are organized in discipline manner by preparing training budget, training calendar and supported by training rules and regulations. Training and Development is backbone of the organization as it helps to improve and enhance employee’s skills. knowledge, talent, behavior and overall personality development that increases Productivity.
A Novel Method of Fake Signature Detection Using Deep Learning Techniques
Authors:   IT, IIMT College of Engineering, Greater Noida, Yagvalya Gaurav
Published: May 2024

In today's digital world, making sure signatures are real is super important. Sometimes, though, people fake signatures, causing problems for money and legal stuff. This research looks into fixing this issue by finding a new way to catch fake signatures. We know that nowadays, a lot of things happen online, like signing documents and doing money stuff, and we need to make sure signatures are real. This paper introduces a fresh perspective by leveraging Convolutional Neural Networks (CNN), a deep learning technique. The objective is to enable the CNN model to autonomously learn and distinguish genuine signatures from counterfeits, offering a dynamic and adaptive solution to the evolving landscape of forgery. The research encompasses the development and application of a novel signature detection model, highlighting its adaptability and effectiveness. Through experimentation with diverse datasets and the optimization of hyperparameters, the approach aims to significantly enhance the accuracy of fake signature detection. The outcome of this research holds the promise of bolstering the security of digital transactions and contributing to the evolution of more robust signature verification systems. Keywords: Forged Signature, Convolutional Neural Networks (CNN), Digital Transactions, Signature Authentication
Analysis of Soil Samples for its Physicochemical Parameters of Soil in Bawal Block of Haryana
Authors:   Ph.D. Research Scholar, Department of Chemistry, Baba Mastnath University, Rohtak, Yadav Manju
Published: May 2024

Without a question, the oldest occupation on Earth is agriculture. The soil was virgin in the early stages of evolution, and farming was done very differently than it is now. Growing more food in a less amount of space has made it necessary to plant more crops more frequently and to use omnicides and fertilizers frequently. Excessive use of fertilizers and omnicides negatively impacts soil characteristics, air and water pollution levels. The study of agricultural science or soil science has piqued people's curiosity. An attempt has been made to address the aforementioned issues in this work. The soil in the area being studied has been physicochemical characterized. Key Words: Water Holding Capacity, High-performance Liquid Chromatography, Nutritive index, Fertility index
A Study on Working Capital Management in Automotive chassis Manufacturing Pvt Ltd
Authors:   Department of management studies  Narayana engineering college, Gudur, I .KARUNA
Published: May 2024

The effective management of working capital is crucial for all companies. Key elements of working capital management include days sales outstanding (DSO), days inventory outstanding (DIO), days payable outstanding (DPO), and cash conversion cycle (CCC). A study conducted on 332 Czech companies, 20 of which were certified by the EFQM (European Foundation for Quality Management) Model, investigated how these components of working capital management impact a company's profitability. Two regression models were utilized for testing - pooled regression and maximum likelihood estimation (MLE). The results indicated that all components of working capital management have a negative effect on profitability. Interestingly, the interaction between EFQM certified companies and working capital components had a positive impact on profitability, suggesting a beneficial relationship between these components and profitability for certified firms. However, it was found that receiving a quality certificate/award from the EFQM Excellence Model actually decreased a company's profitability. Keywords Working capital, Firm profitability CCC, EFQM, Czech firms
Research Paper on Smart Car Parking System
Authors:   B.M Polytechnic Belati, Solapur. Student of Department Of Mechanical Engineering, Sona Randive
Published: May 2024

Ø With the ever-growing urbanization and the increasing number of vehicles on the road, efficient management of parking spaces has become a critical challenge in modern cities. In this project, we propose a smart car parking system based on Arduino micro controllers to address this issue. The system utilizes ultrasonic sensors to detect the presence of vehicles in parking spaces and employs RFID technology for vehicle identification. Ø The smart parking system offers several innovative features to enhance user experience and optimize parking space utilization. Users can conveniently locate available parking spaces through a mobile application or digital displays placed at strategic locations. The system also integrates with existing payment systems, allowing for seamless payment transactions and automated access control. Ø One of the key advantages of the proposed system is its scalability and flexibility. It can be easily deployed in various parking environments, including on-street parking, parking garages, and commercial parking lots. Furthermore, the use of open-source Arduino platforms ensures affordability and accessibility, making it suitable for implementation in both developed and developing regions. Ø In addition to improving parking efficiency and reducing traffic congestion, the smart parking system contributes to sustainability efforts by minimizing carbon emissions associated with vehicle circulation in search of parking spaces. It also provides valuable data insights for urban planners and policymakers to optimize parking policies and infrastructure planning. Ø Through this project, we demonstrate the feasibility and effectiveness of using Arduino-based technology to develop innovative solutions for urban parking management. The smart car parking system presented here serves as a practical demonstration of how IoT and embedded systems can contribute to creating smarter and more sustainable cities.
Review Paper - Study on Product Life Cycle of Netflix
Authors:   PG Student, ARMIET, MUMBAI University, Chillala MS. Sunanda N
Published: May 2024

The product life cycle (PLC) is a theoretical framework that delineates the stages a product traverses throughout its existence in the market. The concept encapsulates four principal phases: introduction, growth, maturity, and decline. During the introduction stage, a product is launched, initial sales are modest, and companies typically invest heavily in marketing and distribution. As the product gains traction, it enters the growth phase, marked by exponential sales growth, intensified competition, and rising profitability. Subsequently, the product transitions into the maturity stage, characterized by a plateau in sales growth, increased competition, and a focus on differentiation strategies. Finally, the decline stage ensues, where sales decline due to market saturation, changing consumer preferences, or technological advancements. Companies may opt to discontinue the product or pursue rejuvenation efforts to prolong its lifespan. Understanding the product life cycle aids businesses in formulating effective strategies for product development, marketing, pricing, and resource allocation across its lifecycle stages.
DEEP LEARNING METHODS FOR CARDIOVASCULAR RISK ASSESSMENT WITH RETINAL IMAGES
Authors:   Dept of Artificial Intelligence & Data Science, East West Institute of Technology, K Dr. Vidhya
Published: May 2024

Cardiovascular diseases (CVDs) remain a leading cause of mortality worldwide, necessitating accurate risk assessment for early intervention. Deep learning methodologies offer promising avenues for such assessments, leveraging retinal images as a non-invasive proxy for cardiovascular health. This paper surveys recent advancements in deep learning techniques for cardiovascular risk assessment utilizing retinal images. It explores convolutional neural networks (CNNs), transfer learning, and ensemble methods, highlighting their efficacy in feature extraction and risk prediction. Key challenges such as data scarcity and interpretability are addressed, alongside potential solutions. By integrating machine learning with medical imaging, this research contributes to enhanced early detection and management of CVDs, fostering improved patient outcomes. Key Words- Deep learning, cardiovascular risk assessment, retinal images, convolutional neural networks, transfer learning, ensemble methods, medical imaging.
Speech under Stress: Analysis and Recognition using KNN
Authors:   Assistant Professor, Guru Nanak Khalsa College, Yamunanagar, Sharma Bhawna
Published: May 2024

This work examines how speech characteristics might be analyzed to tailor automated conversation recognition to illness diagnosis. Voice analysis, which is now performed by a skilled physician using techniques based on auditory analysis, enables the diagnosis of illnesses that impact the vocal apparatus. The suggested work offers a cutting-edge way to monitor a patient's pathology. It is stress-free to use, quick, and affordable for the physician, and safe for the patient. This technique practices a parametric methodology (jitter, shimmer, harmonic to sound, etc.) to assess the sick vocal sound. Additionally, the technique for this work rest on on the feature extraction of Mel Frequency Cepstral Coefficient (MFCC) and the feature matching of Dynamic Time Warping (DTW). This article provides a step-by-step breakdown of the speech analysis procedure used on anxious individuals. The degree of classification accuracy attained for each of the retrieved characteristics confirms that our method is effective in differentiating between stressed individuals. Thus, the speech analysis feature on the PRAAT platform has produced positive results and shown to be an effective tool for differentiating between those who are under stress and those who are not. Using MATLAB 2018b, the work displays several 2D and 3D displays of teaching and anticipated matters. Keywords: Dynamic Time Warping, Mel Frequency Cepstral Coefficient, K nearest neighbor, Virtual Reality
Maize Seed Defect Detection Using Deep Learning
Authors:   Vidya Pratishthan’s Kamalnayan Bajaj Institute of Engineering and Technology, Baramati 1,2,3,4 UG students, Department of Information Technology, Aishwarya Dombe
Published: May 2024

In the realm of agriculture, ensuring high-quality seeds is pivotal for maximizing crop yield and productivity. This study delves into the application of deep learning techniques, specifically Google Net, to address the challenge of maize seed defect detection. By utilizing convolutional neural networks (CNNs) and leveraging the power of transfer learning, this research aims to accurately identify and classify various defects in maize seeds. The technique begins with dataset curation and preprocessing, followed by the adaptation of the Google Net architecture. The model is then trained, validated, and tested, with performance metrics. Keywords: GoogleNet, Convolutional Neural network, Deep learning, Image processing, Segmentation.
SECURING PDFS: AN INNOVATIVE LSTM ALGORITHM FOR IMAGE-BASED MALWARE DETECTION
Authors:   Sri Manakula Vinayagar Engineering College, Puducherry, India, T Maheshwaran.
Published: May 2024

The proposed system aims to enhance the current approach to combating PDF malware by addressing a key vulnerability in existing systems—specifically, the generation of evasive variants capable of bypassing machine learning based classifiers. Unlike the current system, the proposed solution leverages a hybrid algorithm and Variational Autoencoder (VAE) approach. Notably, it incorporates a pre-trained model to significantly reduce training time without compromising accuracy. This innovative combination of techniques presents an efficient and effective solution for image-based malware detection. In comparative testing, our proposed system outperforms the existing system, demonstrating superior accuracy and faster training times. By integrating hybrid algorithms and VAE, our approach provides an advanced defense against the evolving landscape of PDF based mal- ware threats. Keywords: Variational Autoencoder (VAE), PDF-based malware threats
A Comprehensive Review on Advantages of Ultra Performance Liquid Chromatography (UPLC) for Analytical Method Development, Validation, and Stability Studies
Authors:   Department of Quality Assurance, MCE’s Allana college of Pharmacy, Pune., khan Pathan Daud Ahmed
Published: May 2024

Ultra Performance Liquid Chromatography (UPLC) represents a paradigm shift in analytical separation science, offering enhanced speed, sensitivity, and resolution while retaining the foundational principles of traditional liquid chromatography. This comprehensive review explores the principles, instrumentation, advantages, and applications of UPLC in analytical method development, validation, and stability studies, with a focus on pharmaceutical analysis. UPLC leverages finer particles and intensified flow rates to achieve unprecedented performance gains, facilitating rapid and precise separations without compromising analytical rigor. The discussion delves into the intricate instrumentation involved, including sample injection, column selection, and detector operation, highlighting the critical role of each component in ensuring optimal analytical performance. Advantages of UPLC include drastically reduced run times, streamlined method optimization, and increased sample throughput, while limitations such as higher back pressures and limited column regenerability are also discussed. Furthermore, the review outlines the diverse applications of UPLC across pharmaceutical, environmental, food and beverage, clinical, forensic, bioanalytical, and polymer analysis domains, underscoring its versatility and significance in advancing research, development, and quality control in various industries. In summary, UPLC represents a transformative tool in analytical chemistry, offering unparalleled capabilities for expedited and accurate analysis of complex sample matrices, ultimately driving innovation and scientific progress. Key Words: Ultra Performance Liquid Chromatography (UPLC), analytical method development, validation, stability studies, pharmaceutical analysis, instrumentation, advantages, applications, sample injection, column chemistry, detector technology, back pressures, method optimization, sample throughput, environmental analysis, food and beverage analysis, clinical diagnostics, forensic analysis, bioanalytical research, polymer analysis, analytical chemistry.
Importance of Cyber Security in Gaming Industry: A Review
Authors:   Department of MCA JAIN(Deemed-to-beUniversity), Jalihal Shreyas
Published: May 2024

The Gaming industry, which was once a small industry, has now become one of the fastest-growing industries in the world. With the development of internet technology, online gaming has become a way of entertainment and connecting among the young generation of the modern era. This review paper speaks about the cyber security required in gaming to protect players and gaming companies from potential losses from cyber attacks. By exploring different situations, this paper explores various and effective security measures for the gaming industry. This paper also discusses existing cyber security technology used in cyber security. In a further paper, some cyber security solutions are discussed for fortifying games.. Keywords— Cyber Security, Gaming, Gaming Industry, Threats, Cyber Attacks, Protection, Cybersecurity Education, Protection measures.
Beyond Bombs: The Growing Threat of Cyberterrorism
Authors:   Jain (Deemed-to-be University), Bangalore,, S Rachan
Published: May 2024

Cyberterrorism, which once was a virtual version of physical attacks, has now moved to a digital platform that targets the critical infrastructure. These activities pursue to introduce fear, make a disruption in essential services, and influence politics. On the other hand, a comprehensive strategy should be applied to deal with this dynamic danger. The importance of understanding cyber terrorism lies in the fact that it creates breach of trust, collapse of the system, and sufferings among the population mentally. The economic impacts comprise businesses losses, decline in productivity, and discouragement of foreign investments. Efficient tools such as network security monitoring, vulnerability scanning and threat intelligence can locate anomalous activity as well as loopholes in systems. Strong authentication, employee training, data encryption, and regular backups all lead to a digital environment that is less vulnerable to attack. International cooperation, public education, and constant development are the key aspects for having a preparedness against cyberterrorism. We can accomplish this through collaboration and thereby ensure the safety and security of the digital world. Keywords—Cyberterrorism, digital threats, international cooperation, public awareness, critical infrastructure.
MAGNO TUNE: ADVANCED ROAD SURFACE RECOGNITION & EMS OPTIMIZATION
Authors:   Department of EEE & Vidya Vikas Institute of Engineering and Technology, V Sumanth
Published: May 2024

Electromagnetic suspension systems represent a revolutionary technology in the automotive industry, offering unparalleled comfort, control, and safety in vehicle dynamics. This project delves into the design, implementation, and performance evaluation of electromagnetic suspension systems used in vehicles and road surface detection. This paper is an overview of traditional suspension systems and their limitations in providing a smooth ride quality while maintaining optimal handling characteristics. It then introduces electromagnetic suspension systems as an innovative solution to these challenges. Key components and principles of electromagnetic suspension systems are discussed, including electromagnetic actuators and sensors for road surface detection. The integration of these components into the vehicle chassis is explained, highlighting the synergy between mechanical and electrical engineering disciplines. Furthermore, the project explores the benefits of electromagnetic suspension systems, such as enhanced ride comfort, improved stability, and adaptive damping capabilities. Overall, this project provides valuable insights into the advancements and applications of electromagnetic suspension systems, paving the way for the future of vehicle ride and handling dynamics.
AN EFFICIENT DATA SECURITY IN MEDICAL REPORT USING BLOCKCHAIN TECHNOLOGY
Authors:   Department of Computer Science and Engineering, Jawaharlal Nehru New College of Engineering, Shimoga, S Sathyanarayana
Published: May 2024

The health care services industry is always showing signs of change and supporting new advancements and advances. One of the predominant requirements in today’s health care systems is to protect the patient's medical report against potential attackers. Hence, it is basic to have secure information that can just approve people can get to the patient's medical report. So, it has proposed Block chain technology as a disbursed approach to grant security in accessing the medical report of a patient. It’s composed of three phases: Authentication, Encryption and Data Retrieval using Block Chain Technology. For authentication –Quantum Cryptography. Key Words: Block chain, Medical Report, Data Accessibility, Security, Encryption, Data Retrieval.
BIOLOGICAL AUTHENTICATION VOTING SYSTEM USING BLOCKCHAIN
Authors:   Department of Computer Science and Engineering, Jawaharlal Nehru New College of Engineering, Shimoga, V Manohar Nelli
Published: May 2024

The "Biological Authentication Voting System using Blockchain" marks a significant advancement in electoral processes by introducing a secure and efficient online voting solution.This project integrates cutting edge biometric authentication specifically ,fingerprint and facial recognition with the transparency and immutability of blockchain technology. This cohesive integration aims to fortify the security, accessibility, and inclusivity of the electoral process .The core functionality of the system involves the incorporation of advanced biometric authentication during user registration, establishing a secure digital identity for both voters and candidates. This identity becomes the linchpin during the voting process, providing a robust security layer that not only mitigates identity theft but also ensures the legitimacy of participants. Key Words: Blockchain, Secure Voting, Biometric Voting.
Optimizing Online Shopping: Leveraging Llama for Product Review Summarization
Authors:   Zeal College of Engineering and Research, Parate Roshani
Published: May 2024

This article highlights a unique "Customer Satisfaction Analysis" module and presents an innovative online commodity search system. The system's goal is to rapidly retrieve product data such as search results, product details, and reviews—through e-commerce API endpoints and display it in an intuitive user interface. The "Customer Satisfaction Analysis" section is particularly noteworthy as it utilizes sophisticated algorithms to examine customer feedback and produce detailed summaries that accentuate the salient features of user opinion. This methodology endows prospective purchasers with a more profound and perceptive comprehension of product attributes and client contentment. Sentiment analysis is integrated into the search process, allowing consumers to make well-informed buying selections. Our approach improves consumers' capacity to make decisions by synthesizing product features and user feedback. This allows consumers to make better educated choices and ultimately have a more fulfilling online shopping experience. Key Words: API, Large Language Model , Llama, Search System
IoT BASED SMART PUBLIC LIGHTING SYSTEM
Authors:   Dept of IT, MGIT., V Mrs. Veena
Published: May 2024

We can observe that public lights are lit even during daytime in many areas leading to the inefficient usage and wastage of power consumption. Even though energy efficient LEDs are being used still in many places’ timer controlled or manual turning on/off mechanisms are being employed to operate the lights which proved to be ineffective in saving energy. Hence using an IoT based system including solar panel to dynamically control the intensity of the lights will not only help to minimize the power consumption but also including a fault detection capability will help in real time monitoring of the lighting infrastructure and tracking the location using web application interface thereby reduces the maintenance time for repairing. Key words: Solar Panel, IoT, fault detection, real time monitoring
Review Paper- STUDY ON TRANING AND DEVELOPMENT IN BANKING SECTOR
Authors:   Student of Master of Management Studies, Alamuri Ratamala Institute of Engineering and Technology, Mumbai University,, S Miss Arati
Published: May 2024

With the advancement of information technology, the globe has become a global village, and it is bringing upheaval to every industry, including banking. Banks began to emerge with technology and information technology-based products and services. Customers nowadays are extremely demanding, and the only way to properly meet their needs is to employ innovative technology. Liberalization, globalization, and privatization have given the banking business additional features in this highly competitive market. As a result, banks must provide ongoing training to their staff, not simply at the entry level. Training and development programs have a significant impact on bank employee’s knowledge enhancement, skill development, and work enrichment, which reduces attrition, increases job retention, and is advantageous for employee value addition. All of these elements work together to help banks enhance their market share and productivity. KEYWORDS Skill Development, Workshops, On Job Training, Career Development Professional Growth, Mentor, Learning
Carbon Emissions in Cloud Computing: Challenges and Opportunities for Sustainability
Authors:   Jain (Deemed-to-be-University), Bengaluru, India., PS VAIBHAV
Published: May 2024

In the land of the unreal cloud computing, where bits go on unseen routes, the grim truth manifests itself to the abundant marvels in among the virtuals; carbon emissions. The following concerns the novel problem of greenhouse gas collection within cloud computing - it finds the most hidden source of pollution and building blocks behind this digital paradox. From the humming data centers, crammed with complex meshes of hardware and processes drawing massive amounts of energy, and the kaleidoscope of sources power these huge fiends, an actual stage is created to allow emissions to appear on it in silence. And in the midst of this complexity, even if we do not see very clearly where we are heading towards solutions, there is some light, making us capable for what comes. Source is the right word. The alchemist of innovation, from the energy saving squeezing to the resource sharing singing, all found the soil. Transparency thus turns out to be a steering light amid the obscurity and leads stakeholders towards the trajectories of greener spheres as carbon accounting frameworks show the way. Coordination pivots to the focal point linking stakeholders in the sector as well as the policy and advocacy networks. This weft and waft forms a device that corresponds to the structure of collective action. Hence, beneath the infinitude of the cloud, the two play a dance together where the advanced technology and environmental preservation work together to pave the way of a future that celebrates resilience and sustainability.
Cómputo del tiempo de fijeza discontinua a efectos de servicios previos.
Authors: Sempere Navarro Antonio V.
Published: May 2024

Se discute cómo contabilizar el tiempo de contratación fija discontinua (régimen laboral) a efectos de servicios previos cuando una persona accede a la condición de funcionaria. La STS-CONT comentada se inclina por contabilizar como periodo de servicios tanto el tiempo en que se ha trabajado cuanto los tramos intermedios. Invoca el criterio de la Sala Cuarta del Tribunal Supremo, así como la jurisprudencia del Tribunal de Justicia de la Unión Europea.

It discusses how to count the time of permanent discontinuous hiring (labor regime) for the purposes of previous services when a person accesses the status of civil servant. The STS-CONT is inclined to count as a period of service both the time in which work has been carried out and the intermediate sections. It relies on the judgment of the Fourth Chamber of the Supreme Court and the case-law of the Court of Justice of the European Union.
Control del absentismo y control de las bajas por incapacidad temporal: circunstancias deseablemente diferentes.
Authors: Arias Domínguez Ángel
Published: May 2024

Se cuestiona si el sistema de incentivos económicos aplicable en la empresa que tiene en consideración el absentismo de las personas trabajadoras puede configurar, tras la entrada en vigor de la Ley 15/2002, como 'no recuperables' las horas dejadas de trabajar por encontrarse el trabajador en incapacidad temporal y las perdidas por reposos médicos y convalecencia de operaciones.

It is questioned whether the system of economic incentives applicable in the company that takes into consideration the absenteeism of workers can configure, after the entry into force of Law 15/2002, as 'non-recoverable' the hours stopped working due to the worker on temporary disability and losses due to medical rest and convalescence from operations.
Factors Influencing Pre-Service Technical Teachers' Academic Performance: Cross-Sectional Study
Authors: Chiranorawanit Sukit , Nittayathammakul Vitsanu
Published: May 2024

This research aims to identify factors predicting pre-service technical teachers’ academic performance in a technical teacher training context. This study employed a predictive correlational design. We developed the conceptual framework by combining previous research, and then created a survey to gather data. Between August 1 and August 30, 2022, 109 undergraduates from the Faculty of Technical Education at Rajamangala University of Technology Krungthep (RMUTK) received an online self-administered questionnaire. The statistical analysis employed the Pearson correlation coefficient and multiple regression. The findings of the research showed that there was a positive correlation between various factors such as gender, motivation and attitude towards learning, study habits, family support, curriculum quality, and teaching quality with pre-service technical teachers' academic performance, with the correlation coefficients ranged from .230 to .292 and were all statistically significant (p < 0.05). The multiple correlation coefficient (R) was .474 showed a significant relationship between the independent and dependent variables at the .05 level. The R-squared value was .225, indicating that these six variables combined explain 22.5% of the variation in academic performance. However, this also suggests that our model fails to explain around 77.5% of the variance. Some aspects of the findings derived from this study are expected to result in the creation of digital interventions to better track students' academic performance, aiming to provide equitable educational experiences that maximize the academic performance of each gender group in the future.
Inkoop: vergeet de transactiekosten voor de eindgebruikers niet
Authors: de Kruijf Johan A.M.
Published: May 2024

Procurement: don’t forget the transaction costs for end users

A procurement procedure implies that the organisation has assessed whether outsourcing is financially preferable to vertical integration of production. Transaction cost economics is commonly used as a framework for this assessment. The basics in transaction cost theory focus on a bilateral relation between commissioning and supplying entities. When it concerns public service delivery, a third party, the actual user of the service, is often involved. The actual user also faces transaction costs, but they are often neglected during the procurement procedure. This paper focuses on the relevance of transaction costs for third parties and suggests including third-party transaction costs explicitly as a selection criterion in a public procurement procedure.
De waarde van publieke inkoop
Authors: Kuitert Lizet
Published: May 2024

The value of public procurement: Analysis of conflict arenas in public procurement transition

This research focuses on changing the role of public procurement in the public sector with the emergence of NPG. A municipal case study is used to understand the complex dynamics between projects and the broader organisational context. The findings show value conflicts arising from the convergence of elements of TPA, NPM, and NPG in different arenas in commissioning. These findings provide insight into the challenges public clients face in integrating NPG in a context where traditional governance mechanisms and contractual procurement processes are still dominant and argue for a flexible approach to public value creation that will allow public clients to better manage value complexity in construction and further professionalize themselves.
Evaluation of gingival crevicular fluid volume with periopapers in patients who have recovered from COVID-19 infections
Authors: Üner Devrim Deniz , İzol Bozan Serhat
Published: May 2024

Aim: Coronavirus disease 2019 (COVID-19) reportedly affects many body tissues and organs and is detectable in body fluids, such as saliva and gingival crevicular fluid (GCF). Additionally, COVID-19 can cause an increased GCF volume (GCFV). This study investigated GCFV in patients with a history of COVID-19 infection using periopapers.
Methodology: This study included 50 patients (25 males and 25 females) aged 21–69 years who were considered periodontally healthy and had a history of COVID-19 infection. GCF was collected from the central incisors’ buccal sites using paper strips, and GCFV was calculated using a Periotron 8000. 
Results: In patients with a history of COVID-19, the mean GCFV for all patients was 0.5226 ± 0.11 µl. The mean was 0.5208 ± 0.1011 µl in men and 0.5244 ± 0.1261 µl in women. No significant difference was found between the two genders regarding GCFV.
Conclusion: Regarding GCFV, no significant difference was found between individuals with a history of COVID-19 infection and those with no history of COVID-19 infection.
 
How to cite this article:
Üner DD, İzol BS. Evaluation of gingival crevicular fluid volume with periopapers in patients who have recovered from COVID-19 infections. Int Dent Res 2023;13(3):119-24. https://doi.org/10.5577/intdentres.492
 
Linguistic Revision: The English in this manuscript has been checked by at least two professional editors, both native speakers of English.
Estudo epidemiológico da cobertura vacinal contra o sarampo em menores de 01 ano pós pandemia do Covid-19 no Brasil e sua correlação com o ressurgimento dos casos de sarampo
Authors: Oliveira Julie Mayara da Silva , Silva Nallanda Sophia de Lemos da , Freitas Maria da Glória , Lima Marlene de Souza
Published: May 2024

Introdução: O ressurgimento do sarampo no Brasil tem sido uma preocupação significativa em saúde pública, especialmente após a pandemia do COVID-19. A queda na cobertura vacinal e a disseminação de desinformação contribuíram para o aumento dos casos da doença, destacando a necessidade de compreender a relação entre a cobertura vacinal e o ressurgimento do sarampo. Objetivo geral: Analisar a cobertura vacinal contra o sarampo em menores de 01 ano pós pandemia do COVID-19 no Brasil e sua correlação com o ressurgimento dos casos de sarampo. Metodologia: Trata-se de um estudo epidemiológico, descritivo, retrospectivo, de abordagem quantitativa. Resultados e discussão: Os dados revelaram uma redução na cobertura vacinal contra o sarampo ao longo dos anos estudados, com um aumento nos casos da doença, sobretudo entre 2019 e 2020, fato este que apresentou correlação com o contexto pandêmico, onde houve uma queda da cobertura vacinal em várias regiões do Brasil. A disseminação de desinformação, a desconfiança nas vacinas contra o sarampo e as interrupções nos serviços de saúde durante a pandemia do COVID-19 na queda da cobertura vacinal também foram fatores influenciadores. Conclusão: Portanto, destaca-se a urgência de promover a vacinação como uma medida de saúde pública para prevenir surtos de sarampo. São necessárias ações coordenadas para melhorar a cobertura vacinal, combater a desinformação e fortalecer os sistemas de saúde, visando proteger a população contra o sarampo e outras doenças, essas medidas são fundamentais para garantir a saúde e o bem-estar de todos os cidadãos brasileiros.