Volume 10 | Issue 2 |

 Abstract

The high-throughput study of small molecule metabolites in biological matrices is the focus of metabolomics, a rapidly expanding field of omics research. As a result, metabolomics is well situated to be employed in food nutrition and food science research. Technology and databases are the two factors that now limit the potential impact of metabolomics. For metabolite detection and quantification systems to become more accurate, automated, and comprehensive, significant equipment changes are obviously needed. Food quality, monitoring of food intake, food component analysis, physiological supervision in food intercession, food authenticity assessment, and diet challenge research are imperative fields of food science and technology. The study's main emphasis is on metabolomics' present potential future usage and trends.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Food, Technology, Metabolomics, Analysis, Nutrition, Quality

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A comparative study of the agricultural ideas of Ambedkar and Deendayal

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

A comparative study of the agricultural ideas of Ambedkar and Deendayal

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Globalization means entry into the global economy for trade, transaction, investment and employment without any restriction. Any world citizen can import, export, invest and seek employment freely according to one's own choice and ability. Its other companions are liberalization and privatization. Globalization is termed as 'market populism' or 'neolibealism. It means 'privatisation', 'deregulation' and 'liberalization of the national economies in order to promote the allocation of resources by the 'market'.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

GLOBALISATION AND ITS IMPACT ON ECONOMY

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The rapid proliferation of high-bandwidth-consuming applications such as data communication in Local Area Networks (LANs) has heightened the need for highly trustworthy optical transmission media. Optical fibers, especially single-mode-fiber fibers (SMF) and the multimode-fiber (MMF), are the foundation of current fast-paced communication systems. Despite extensive research on long-haul fiber systems, relatively little effort has been put into the systematic performance analysis of single-mode and multimode fibers within LAN-specific operational constraints. This work provides a detailed theoretical and simulation-based study of the SMF and MMF behavior in LAN systems, focusing on the dispersion behavior of the systems, attenuation behavior of the systems, spectral behavior, and integrity of eye diagrams with different transmission distances and data rates. The transmission of optical signals through SMF and MMF through OptSim-based numerical modeling was studied both before and after transmission, and a direct comparison of the bandwidth limitations due to modal and chromatic dispersion was provided. The mathematical modeling of pulse broadening, frequency response degradation, and signal-to-noise behavior was included to determine quantitative performance benchmarks. The findings show that multimode fiber is economical to install in all LAN links with short ranges, but the dispersion of the modes is detrimental to the data rate capabilities of multimode fibers at long distances. In contrast, single-mode fibers have much better dispersion control and spectral stability, allowing for much longer transmission distances and reduced bit-error penalties. These results provide vital information for optimal fiber choice and network design in LAN structures and present a solid theoretical framework for the automated planning of optical networks.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Single-mode fiber; Multimode fiber; Local Area Network; Optical dispersion; Attenuation; Eye-diagram analysis; Optical spectrum; Fiber-optic communication

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Supervisory Control and Data Acquisition (SCADA) systems are widely used in industrial environments to ensure efficient monitoring and control of critical processes. This paper presents a SCADA Oriented Embedded Monitoring System using LPC2148, aimed at providing a reliable and cost-effective alternative to conventional PLC-based SCADA solutions. The proposed system employs the LPC2148 ARM7 microcontroller as the core processing unit for real-time data acquisition and control. Various industrial sensors are interfaced to continuously monitor parameters such as voltage, current, temperature, and load conditions. The acquired data is processed locally and transmitted to a centralized SCADA system through serial communication. The system supports real-time visualization, alarm generation, and historical data analysis through a Human Machine Interface (HMI). Embedded control logic ensures rapid response during abnormal operating conditions, enhancing system safety and reliability. The modular hardware and software architecture allows easy scalability and integration with existing industrial infrastructure. Experimental implementation validates the accuracy of sensor data and the stability of communication with the SCADA interface. Results indicate reduced system complexity and lower deployment cost compared to traditional solutions. The proposed system is suitable for power monitoring, industrial automation, and remote supervisory applications.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

SCADA, LPC2148, Embedded Monitoring System, ARM7, Industrial Automation, Real-Time Data Acquisition.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Humans often initiate a new age when they discover methods to enhance convenience and enjoyment in existence. There is an increasing need for approaches capable of autonomously analysing audio material, including auditory event identification for assessing object distance, depth, and the elevation of wells and valleys. This is due to the growing significance of audio information within the extensive array of digital material accessible today. Sound waves serve as an illustration of a non-stationary process. This study aims to illustrate the methodology for measuring the distance between two unidentified objects using the principles of sound wave physics. We used estimated sound waves segmented by pyAudio Analysis to ascertain basic frequencies. Utilizing digital signal processing and machine learning, we can filter signals derived from eco-sound wave observations. Digital signal processing is a commonly used technique for segmentation, since it can differentiate between desirable echoes, noise, and silence. Further signal processing is necessary to align and convert the data into a time-frequency graph. Achieving the utmost accuracy is essential, since the selection of the fundamental frequency occurs on a frame-by-frame basis. This paper presents a summary and analysis of the approach for audio segmentation and fundamental frequency signal prediction.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

DSP, Machine learning, Sound wave, PyAudio Analysis, audio segmentation

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

India's building sector is one of the fastest growing in the world due to rapid urbanization, infrastructure investment and housing demand. However, construction and demolition (C&D) waste has remained poorly quantified and weakly regulated as a consequence of this expansion. The construction sector contributes about 25% of the total solid waste stream. When demolition, redevelopment and infrastructure works are fully accounted for, the annual C&D waste generation may reach hundreds of millions of metric tonnes. In India, only a small proportion of C&D waste is converted into secondary raw material. Most construction debris is informally dumped along roadsides, in drains, on riverbanks, or co-disposed with municipal solid waste at open dumps and landfills, leading to dust emissions, urban blight, traffic disruption and encroachment on ecological assets. To address this, the Ministry of Environment, Forest and Climate Change has created a dedicated national regulatory framework. This paper provides a structured, narrative review of construction waste management in India based on peer-reviewed articles, technical reports, guidelines and fact sheets published up to February 22, 2022. Evidence on the magnitude and composition of C&D waste, the evolution of the regulatory and institutional framework, existing practices and technologies, and the socio-economic and behavioural barriers that limit effective management are synthesised. The paper proposes an integrated set of interventions to move Indian construction towards a circular economy, in which waste prevention, reuse and high-quality recycling are systematically embedded into planning, design and execution

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Construction and demolition waste, C&D waste, recycling, circular economy, India, environmental regulation, urban infrastructure.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper explores the theoretical foundations of Jacques Derrida's deconstruction, situating it within the intellectual contexts of postmodernism and poststructuralism. It examines the critical departure from structuralism and the philosophical stakes of Derrida's intervention. By focusing on the early formulations of deconstruction, this article aims to demonstrate the significance of Derrida's critique of Western metaphysics and its implications for contemporary theory.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Derrida, Deconstruction, Postmodernism, Poststructuralism, Logocentrism

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

India is one of the top twelve most biodiverse nations in the world. India is home to some of the most ecologically varied ecosystems on Earth. The term ''biodiversity'' is used to describe a large range of organisms. The term ''biodiversity'' refers to the wide range of living forms found on Earth, including both land and sea creatures. For the purpose of conservation of biodiversity, we mean the management of human influence on the biosphere in a manner that maximises benefits to present generations while conserving its ability to meet the needs and aspirations of future generations. The Convention on Biological Diversity, which all signatory nations are bound to by law, is briefly summarised in this article. On top of that, India is one of the signatories to this agreement. The objectives of this conference are the preservation of biological variety, the responsible use of its parts, and the equal sharing of the advantages that result from the use of genetic resources. This biodiversity pact is like the holy book for the Indian government when it comes to implementing rules and regulations. This page provides a thorough analysis of the biodiversity conservation laws in India. Also discussed in this research is the role of the courts in upholding the Biological Diversity Act of 2002's mandate to safeguard biodiversity.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Biodiversity, Conservation, Convention, Implementation

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Accounttakeoverfraudrepresentsasignificantthreattoonlinesecurity,leadingtofinancial losses and reputational damage for both individuals and organizations. As cyber threats become increasingly sophisticated, traditional security measures have proven insufficient in combating these sophisticated attacks and using Artificial Intelligence (AI) in fraud detection has gained prominence. AI systems can analyze vast amounts of data to identify patterns and anomalies indicative of fraudulent activities. However, these systems are not without challenges.This paper explores how Artificial Intelligence (AI) and Machine Learning (ML) address these challenges by leveraging advanced analytics to detect anomalies and predict fraudulent activities. While AI- driven systems significantly enhance detection capabilities, they also present challenges such as false positives, data dependency, and ethical concerns. This study offers a comprehensive exploration of AI's role in fraud detection, mitigation strategies, and emerging trends shaping the future of account security.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cyber Security, Account Takeover, Digital Fraud Detection,Machine Learning, Technology Modernization, Digital Transformation, Information Security, Multi-Factor Authentication (MFA), Threat Intelligence, Data Protection, Encryption, Continuous Monitoring, Identity Verification

  License

Creative Commons Attribution 4.0 and The Open Definition