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Daily Archives: September 25, 2025

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Review On Case Studies Of Highway Pavement Crack Recognition Under Complex Environment.

Authors: Harsh Tomar, Professor Jitendra Chouhan

Abstract: Pavements are complex structures involving many variables, such as materials, construction methods, loads, environment, maintenance, and economics. Thus, various technical and economic factors must be well understood to design, build pavements, and to maintain better pavements. Moreover, the problems relating to pavement maintenance are still complex due to the dynamic nature of road pavements where elements of the pavement are constantly changing, being added or removed. These elements deteriorate with time and therefore to be maintained in good condition requires substantial expenditure

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Advancing Compliance Maturity Through The Five Whys Methodology: A Strategic Framework For Root Cause Analysis And Continuous Improvement

Authors: Justin Paul Iacouzzi

Abstract: This article critically examines the Five Whys methodology within the context of regulatory compliance, emphasizing its role as a structured root cause analysis tool that transcends traditional reactive approaches. It situates the method historically and practically, corroborates its efficacy through empirical evidence, explores organizational adoption challenges, and illustrates its application through case studies in cybersecurity and logistics. The article concludes by highlighting the Five Whys’ strategic potential to enhance compliance maturity, operational performance, and ethical governance, particularly in the era of rapid technological advancement enabling more sophisticated risk management capabilities

 

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Waste Management – An Urgent National Need Of India – A Comprehensive Analysis

Authors: Dr. Shubham Tayal

Abstract: India faces a critical challenge in managing its burgeoning waste generation due to its rapidly growing population and urbanization. This research paper explores the multifaceted dimensions of waste management in India, highlighting its urgent need and the complex interplay of factors contributing to the crisis. The paper analyzes the current state of waste management, including the types of waste generated, collection systems, and disposal methods. It delves into the environmental, health, and socioeconomic impacts of improper waste management. Furthermore, the paper examines various stakeholders involved in waste management, such as government agencies, urban local bodies, private sector, and civil society. It assesses the existing policies, regulations, and initiatives aimed at addressing the waste crisis. Finally, the paper proposes a comprehensive framework for sustainable waste management in India, emphasizing the need for integrated approaches, technological advancements, public awareness, and behavioral change.

DOI: http://doi.org/10.5281/zenodo.17199754

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Growth And Morphological Changes Of Two-dimensional Carbon Nanostructures With Time Of Deposition By Radio Frequency Plasma Enhanced Chemical Vapor Deposition

Authors: V. Durga Prasadu, Dr. B Purna Chandra rao, R. Haribabu, Dr.K. Subbarao

Abstract: In this work, we report the growth of different types of two-dimensional(2D) carbon nanostructures and their change in the morphology, growth and size on Si substrate with deposition time. The 2D carbon nanostructure were grown in the presence of Argon plasma with Methane as a carbon source without any special pre-treatment of the substrate using Radio Frequency Plasma Enhanced Chemical Vapor Deposition (RF-PECVD). Field Emission Scanning Electron Microscopy (FE-SEM) and Atomic Force Microscopy (AFM) were proven the grown carbon nanostructures were hexagonal Islands, rod shaped and white patches like structures. We identified the changes in the diameters of the grown nanostructures from 35-130 nm with deposition times 30 to 120 minutes. The surface roughness of the samples was reported by the 3D analysis of AFM. The presence of D and G peaks was identified by Raman Spectroscopy. Raman spectroscopy showed that the ratio of I(D)/I(G) increases with increasing deposition time.

DOI: https://doi.org/10.5281/zenodo.17198747

 

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Lab-Grown Meat: The Future Of Poultry On Your Plate

Authors: Mr. G. Vignesh, Mr. G. Karthikeyan, Ms. Kowsalya

 

Abstract: The increasing global demand for protein, together with environmental degradation, animal welfare concerns, and food safety risks associated with conventional poultry farming, has motivated research into lab‑grown (cultured) poultry. This review (or article) explores the state of the art in cultured‐meat technology applied to poultry: from cell sourcing and culture media, to scaffolding, bioreactor design, tissue vascularization, and challenges in mimicking texture and flavor. It discusses the potential advantages of lab‑grown poultry—reduced greenhouse gas emissions, lower land and water use, elimination of slaughter, and improved safety control—and weighs these against the technical, regulatory, economic, and consumer‑acceptance obstacles. The article concludes by projecting a pathway toward commercialization, outlining necessary innovations and policy frameworks, and evaluating the prospects for lab‑grown poultry becoming a mainstream component of the human diet.

DOI: https://doi.org/10.5281/zenodo.17198116

 

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Multi-Functional Assistant For Task, Technology And Intelligent Support

Authors: Haritha A, Nithyasri P, Sandhiya M

Abstract: In our fast-moving digital age, the demand for automation and intelligent systems is on the rise. More and more people are turning to digital assistants to help them juggle tasks, enhance workflows, and minimize manual effort. However, many of the voice assistants available today struggle with multitasking, remembering context, and executing tasks effectively. This gap creates a mismatch between user expectations and the capabilities of current virtual assistants. Enter M.A.T.T.I.S (Multi-Functional Assistant for Task, Technology, and Intelligent Support). This innovative solution aims to bridge that gap by integrating cutting-edge automation, multi-language processing, and AI-driven conversational memory. Built on Python frameworks, M.A.T.T.I.S leverages advanced speech recognition and natural language processing to deliver highly accurate responses. Unlike traditional virtual assistants, M.A.T.T.I.S is crafted to manage multiple tasks simultaneously, minimizing delays and enhancing productivity. It also boasts smart automation features, allowing users to control system functions, access real-time data, and streamline their digital activities effortlessly. This paper takes a deep dive into M.A.T.T.I.S ’s system architecture, workflow, and implementation strategies. It also compares M.A.T.T.I.S [Multi-functional Assistant for Task, Technology and Intelligent Support] with leading commercial voice assistants, showcasing its superior efficiency in task execution and user-friendly design. Additionally, the study presents real-life scenarios where M.A.T.T.I.S significantly improves task management in both professional and personal settings. A series of tests were conducted to assess the assistant’s accuracy, efficiency, and performance in real-time situations. The results reveal an impressive 95% accuracy rate in speech recognition, an average response time of under a second, and the capability to seamlessly handle over 50 tasks simultaneously.

DOI: http://doi.org/10.5281/zenodo.17197525

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