January 2024

Polysaccharide Derived Light Harvesting Materials: A Comprehensive Review on Enhancing Performance

Author(s): Jitubhai Morabiya, Hardik Bhatt*, Gayatri Prasad, Sanjay Bamaniya
Volume: 5 Issue: 1 Pages: 504-515
DOI: https://doi.org/10.47857/irjms.2024.v05i01.0261


Abstract Polysaccharides, intricate natural carbohydrates, have gained acclaim for their versatility and broad applications across various fields. This thorough investigation explores their pivotal role in light harvesting and their far-reaching impact on technology. Highlighting their unique attributes like sustainability, compatibility with living organisms, and diverse functionalities, the study showcases their utilization in material science, chemical […]

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Predicting Human Activity and Behavior Patterns from Cell Phone Data Using Machine Learning

Author(s): Arivoli A*, Soumya Brata Paul
Volume: 5 Issue: 1 Pages: 113-123
DOI: https://doi.org/10.47857/irjms.2024.v05i01.0165


Abstract Across the globe, Smartphones enjoy a high ownership rate. A person’s day-to-day activities are incomplete without the use of smartphones. These sensor-rich devices are often repurposed to collect various forms of data from the user in the domains of 1) app usage, 2) overall phone activity, 3) location, 4) day and night-time activity, 5)

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An In-Vitro Study to Assess the Adhesive Bond Strength of Different Denture Liners

Author(s): Sahu Ashutosh, Sarangi Debarchita*, Mohapatra Abhilash, Das Sitansu Sekhar
Volume: 5 Issue: 1 Pages: 493-503
DOI: https://doi.org/10.47857/irjms.2024.v05i01.0259


Abstract The most common cause of adhesion failure between two materials is the difference in structure. Relining materials are commonly used to reline the tissue surface of the denture. The efficiency of these liners depends on the adhesion between the denture base and liner. This study evaluated and compared the adhesive bond strength of four

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Attitudes of Higher Secondary Learners Relating to the Physics Curriculum: Alignment Analysis

Author(s): Thangjam Medha Devi, Aribam Dhaneshwari Devi, Soibam Birajit Singh*
Volume: 5 Issue: 1 Pages: 481-492
DOI: https://doi.org/10.47857/irjms.2024.v05i01.0258


Abstract Alignment analysis refers to the degree of alignment between the content or objectives of a curriculum and the assessments or standards to evaluate students’ learning. In general, it is recorded and examined as Curriculum Alignment in various educational contexts. The present paper explores level of alignment in physics curriculum based on knowledge, understanding, application,

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A Novel Crop Yield Prediction Using Deep Learning and Dimensionality Reduction

Author(s): Kandasamy Subramaniam Leelavathi*, Marimuthu Rajasenathipathi
Volume: 5 Issue: 1 Pages: 101-112
DOI: https://doi.org/10.47857/irjms.2024.v05i01.0158


Abstract Crop yield prediction (CYP) at the field level is crucial in quantitative and economic assessment for creating agricultural commodities plans for import-export strategies and enhancing farmer incomes. Crop breeding has always required a significant amount of time and money. CYP is developed to forecast higher crop production. This paper proposes an efficient deep learning

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IoT based Smart Trolley for Shopping using RFID and Node MCU

Author(s): Sangeetha R*, Josephine Pon Gloria Jeyaraj, Balaji Vignesh LK, Subhamathi ASF, Divya K
Volume: 5 Issue: 1 Pages: 93-100
DOI: https://doi.org/10.47857/irjms.2024.v05i01.0157


Abstract Customers are helped when shopping by the sophisticated shopping cart system. The goal of this proposed work is to create a hardware and software implementation of a modular, affordable, and user-friendly smart shopping system. This system may be tweaked, and dealers can begin using it right now. It tries to satisfy as numerous of

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Green Supply Chain Integration: A Systematic Literature Review

Author(s): Huahui Li, Haoran Fu*, T Ramayah, Angran Fu
Volume: 5 Issue: 1 Pages: 464-480
DOI: https://doi.org/10.47857/irjms.2024.v05i01.0255


Abstract Green Supply Chain Integration (GSCI) can break organizational boundaries, actively seek cooperation with supply chain partners, and acquire complementary resources, which is crucial for sustainable development. This paper aims to conduct an in-depth analysis of the current state of GSCI research, delineating existing findings, avenues for development, and research gaps. Employing a systematic literature

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Contemporaneity of Modernism as an Aesthetic Innovation

Author(s): Antony Jose, Berlin Grace VM and D David Wilson*
Volume: 5 Issue: 1 Pages: 86-92
DOI: https://doi.org/10.47857/irjms.2024.v05i01.0147


Abstract Modernism as a literary movement can be periodized from the point of literary history where postmodernism follows modernism. However, modernism as an aesthetic innovation was ever-present in so-called postmodernism and is present in the contemporary literary world. In other words, because of modernism’s open-ended nature as an aesthetic innovation as well as the essential

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Spiritual Intelligence and Triadic Movements: A Study on Hermann Hesse’s Protagonists

Author(s): Antony Jose* , VM Berlin Grace, D David Wilson
Volume: 5 Issue: 1 Pages: 452-463
DOI: https://doi.org/10.47857/irjms.2024.v05i01.0251


Abstract Spiritual Intelligence can be metaphorically compared to the framework of human awareness, which oversees creating meaning and developing moral character. Research has been done applying Spiritual Intelligence to different areas such as leadership, emotional intelligence, consumer attitudes, educational contexts, workplaces and human resource development, psychological well-being, and religious beliefs. However, there is a research

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Machine Learning Driven Spam Detection for IoT Devices

Author(s): Blessa Binolin Pepsi M*, Renuka S, Rajeshwari K, Abithanjalee PV
Volume: 5 Issue: 1 Pages: 74-85
DOI: https://doi.org/10.47857/irjms.2024.v05i01.0146


Abstract Smart homes are gradually incorporating Internet of Things (IoT) devices, producing massive amounts of data. Wireless methods are used to convey the vast majority of this data. Several IoT devices may be impacted by a variety of IoT risks, including cyberattacks, inconsistent network connectivity, data leakage, etc. Machine learning (ML) techniques could be quite

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