Volume 12 | Issue 12 |

 Abstract

The era of 5G networks has arrived due to the quick development of broadband technology. These networks promise unmatched speed, low latency, and improved connectivity. This paper does a thorough analysis of 5G network performance, emphasising novel resource distribution techniques and important Quality of Service (QoS) indicators. According to our research, 5G networks often achieve ten times faster data transfer rates than their 4G counterparts. competitors through thorough analysis and real-world models..Furthermore, our results show a significant 30% decrease in latency, highlighting 5G technology's effectiveness and responsiveness. Furthermore, our research explores sophisticated resource allocation techniques, presenting a new method that maximises network resources and leads to a 15% rise in the overall effectiveness of the network. Empirical data from comprehensive field testing and simulations support these results, offering strong proof of the project's influence on 5G network performance. The study's findings might have a significant impact on the future of telecoms as 5G adoption picks up speed globally. They will provide network operators, legislators, and industry participants with useful advice on how to build a more dependable and efficient 5G ecosystem.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Resource Allocation, 5G, Machine Learning

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The advent of Artificial Intelligence (AI) has significantly transformed the landscape of scientific writing, offering tools that enhance efficiency, accuracy, and accessibility. AI-powered platforms such as ChatGPT, Grammarly, and Quillbot provide researchers with capabilities ranging from grammar refinement to content generation, citation management, and even plagiarism detection. These tools streamline the writing process, enabling scientists to focus more on data interpretation and innovative thinking. However, the integration of AI in scientific writing also poses challenges. Over-reliance on AI may result in a lack of originality, ethical concerns over authorship, and potential propagation of misinformation if outputs are not critically evaluated. This paper explores the multifaceted role of AI in scientific writing, examining its benefits, limitations, and ethical implications. By analyzing the functionalities of various AI-based tools, this study aims to provide a balanced perspective on how AI can be optimally utilized to complement human expertise in producing high-quality scientific literature.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial intelligence, scientific writing, pros, cons

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract Zinc is a trace element that has recognized biological activity, necessary for several fundamental body functions such as immune response, metabolism and particularly for wound healing. Nevertheless, zinc deficiency has become a significant public health concern to date and more so in the developing world. The following review aims at focusing on the physiological functions of zinc, especially as regards to immune system, oxidation and cell repair. Additionally, it analyses the correlation between the deficiencies of zinc and the various diseases such as; type 2 diabetes, age related macular degeneration and respiratory infections. Particular emphasis is placed on the importance of zinc in preventing childhood malnutrition and on possible uses of this element for syndrome treatment common illnesses such as diarrhea and the flu. For instance, zinc deficiency has been prevalent in India due to low level of zinc index in soils and poor consumption of zinc containing foods by children and pregnant women. This review emphasizes the necessity of generating more consistent and accurate data regarding zinc concentration in populations most affected; the necessity to increase the intake of zinc and the efficacy of supplementary doses with the goal of decreasing the effects of zinc deficiency.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Zinc, immune response, physiological functions, childhood malnutrition, deficiency, concentration, efficacy, supplementary doses.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Accurate traffic sign detection (TSD) is a critical component of autonomous driving and intelligent transportation systems, enabling vehicles to navigate safely and comply with traffic regulations. However, dynamic challenges such as small object detection, adverse weather conditions, and real-time performance constraints hinder the effectiveness of existing solutions. This research focuses on developing YOLOv7, a lightweight and efficient model optimized for real-time deployment on edge devices. The model incorporates innovative modules such as ELAN-REP for backbone optimization, CBAM for enhanced feature attention, AFPN for robust feature fusion, and SIOU loss for improved bounding box regression. To ensure real-world applicability, the Indian Traffic Sign Dataset (ITSD) was used, augmented with diverse environmental scenarios like rain, fog, and low light, to train and evaluate the model. Comparative analysis against state-of-the-art methods highlights the proposed model's superior trade-off between accuracy, speed, and computational efficiency. Real-world validation on edge devices such as NVIDIA Jetson Nano demonstrates the model's readiness for practical deployment. This research establishes a foundation for robust and efficient TSD in complex environments, paving the way for safer and more reliable autonomous driving technologies in diverse real-world scenarios.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Traffic Sign Detection, YOLOv7, CNN, real-time performance, adverse environments, lightweight architecture, autonomous vehicles.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

360-degree feedback is a comprehensive performance appraisal system that gathers input from various sources, including peers, subordinates, supervisors, and self-assessment, to evaluate employee performance. This study examines the impact of 360-degree feedback on employee performance, focusing on its effectiveness, challenges, and potential for development. The findings suggest that this method fosters improved communication, self-awareness, and performance enhancement when implemented effectively.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

360-degree feedback,employee performance,performance appraisal,self-awareness,organizational development.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The rise in transportation, population density, global warming, and abrupt climate changes has made air quality a critical parameter for monitoring in today's urban ecosystems. This paper explores the challenges, infrastructure, and methodologies for developing and deploying an integrated system for real-time air quality monitoring in both indoor and outdoor environments. The proposed system measures concentrations of gases such as carbon monoxide (CO) and carbon dioxide (CO2), along with temperature and humidity, to provide comprehensive air quality alerts. Experimental validations demonstrate the system's efficiency in real-time monitoring and alert generation

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Real-time, Urban ecosystems, Indoor and outdoor monitoring, Gases, Air quality alerts

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study explored the use of coconut shells, an abundant agricultural waste, as a partial replacement for traditional coarse aggregates in concrete. The primary goal was to evaluate the impact of this substitution on the concrete's compressive strength, a crucial factor determining its suitability for various construction applications. Concrete samples were prepared with varying percentages of coconut shell replacement, ranging from 0% to 30%. These samples were then subjected to compressive strength tests after standard curing periods. The results consistently showed a decrease in compressive strength as the percentage of coconut shell replacement increased. While lower replacement levels (up to 10-15%) resulted in a moderate reduction in strength, making the concrete suitable for specific applications like lightweight and non-structural elements, higher replacement levels (beyond 20%) led to a significant decline, rendering the concrete unsuitable for high-load- bearing structures. This research highlights the potential of coconut shells as a sustainable and environmentally friendly alternative to conventional coarse aggregates. By utilizing this agricultural waste, the construction industry can reduce its environmental impact. However, the trade-off between environmental benefits and reduced compressive strength must be carefully considered for specific applications

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Compressive Strength, Coconut Shell, Partial Replacement, Coarse Aggregate, Concrete, Sustainable Materials, Waste Utilization, Lightweight Concrete.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Vigna aconitifolia esterase, purification, yield

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This project is designed to make the management of insurance easier and accessible to everyone. It is a simple platform where users can quickly access their policy details using QR codes, avoiding longsearches. For added convenience, it includes a text-to-speech feature, allowing users to listen to their policy information, which is especially helpful forthosewith visual impairments or anyone who prefers audio support. The platform is designed to be secure and user-friendly, with anyone able to navigate the site easily. Users can get real-time updates withreminders for policy renewals, confirmations of payments, as well as important notifications such that they never miss what is critical. Payment features arealsohassle- free: an easy monthly subscription feature allows payment to be made easily every month. Filing claims can be done easily with a simple form that lets users submit new claims and the required documents effortlessly. The platform has set a goal to solve everyday issues with insurance customers, like knowing the intricacies of the policy, keeping upwith deadlines, and proper claim handling. It uses technology to increase transparency and user orientation to build trust between the customers and the insurance company, empowering users by providing control over their policies in an easy, fast, and reliable way. The simplicity in traditionally complex processes through this project sets a new benchmark for insurance management. Finally, it bridges the gap between technology and customer needs, ensuring the creation of a future-readysolution for the insurance industry. This platform shows how technology not only transforms processes but also changes relationships, bringing higher degrees of trust and satisfaction for customers.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Web Application, Insurance Policy Management, Claim Submission, Policy Tracking, Text-to-Speech, QR Code Integration.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper introduces AlziCare, a comprehensive web platform designed to enhance the quality of life for individuals with Alzheimer's disease through the integration of IoT, AI, and web technologies. AlziCare offers a range of features tailored to address the cognitive, emotional, and practical needs of patients and their caregivers. The platform includes mind games, music therapy, mime performances, access to e-books, and guided meditation sessions, providing cognitive stimulation and emotional support. A personal voice assistant offers assistance with daily tasks, reminders, and personalized information. Moreover, AlziCare incorporates IoT devices such as a lost item tracker using Raspberry Pi and a medicine dispenser utilizing servo motors controlled by Raspberry Pi, aiding in practical management and safety. The AI component of AlziCare enables personalized recommendations and adaptive assistance based on user interactions and preferences, creating a tailored experience for each patient. Additionally, the web interface allows seamless communication and appointment scheduling with healthcare professionals, promoting timely access to medical assistance and support. AlziCare represents a holistic approach to Alzheimer's care, leveraging IoT, AI, and web technologies to provide comprehensive support and enhance the overall well-being of patients and caregivers. This paper discusses the design, implementation, and potential impact of AlziCare in improving the lives of individuals affected by Alzheimer's disease

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Alzheimer, Web Application, Medicine Dispenser, Lost Item Tracker, intelligent system, Raspberry Pi, servo motors, Piezo buzzer ,IoT, Personal AI Assistance, Alzheimer Caring Intelligent Website

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Creative Commons Attribution 4.0 and The Open Definition