journals

LC-MS/MS Method Development and Validation for Human Plasma Canagliflozin Determination

Author(s): Kaveri Wagh*, Abdurrahman Bakhshi, Sufiyan Ahmad, Harshal Tare, Sumit Deore
Volume: 5 Issue: 1 Pages: 441-451
DOI: https://doi.org/10.47857/irjms.2024.v05i01.0246


Abstract Hyperglycemia is treated with canagliflozin (CANA), for determination of CANA in human plasma, simple, accurate, precise, and reproducible RP-HPLC with mass spectrometry method was developed and validated via protein precipitation method. The average rate of CANA revival was 89.79 percent. There were no interfering endogenous components detected during the analyte’s retention time. Bioavailability and […]

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Therapeutic Uses, Chemical Compositions, With Special References to Oral Health Care, Market Values and Clinical Trial of Bee Propolis: An Updated Review

Author(s): Gayatree Nayak, Akankshya Sahu, Sanat Kumar Bhuyan*, Ruchi Bhuyan, Dattatreya Kar, Ananya Kuanar
Volume: 5 Issue: 1 Pages: 317-335
DOI: https://doi.org/10.47857/irjms.2024.v05i01.0212


Abstract Bee propolis is a natural ingredient seen in several floras such as poplar, palm, pine, conifer secretions, gums, resins, mucilage, and leaf buds. Propolis has numerous health benefits such as enhancing immunity, lowering blood pressure, and treating allergies and skin conditions; therefore, it is widely used in the prevention and treatment of a wide

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2-(3,4-Dihydroxyphenyl)-5,7-Dihydroxy-4H-Chromen-4-One Flavones Based Virtual Screening for Potential JAK Inhibitors in Inflammatory Disorders

Author(s): Sumit Deore, Pravin Tajane, Avinash Bhosale, Ujjwala Thube, Vijay Wagh, Vijay Wakale, Harshal Tare*
Volume: 5 Issue: 1 Pages: 557-567
DOI: https://doi.org/10.47857/irjms.2024.v05i01.0268


Abstract This computational work uses ligand-based virtual screening and molecular docking simulations to uncover and characterize anti-inflammatory flavones. Flavones with experimental validation and anti-inflammatory activities were chosen for the investigation. The three-dimensional structure of Janus kinase (JAK) from Protein Data Bank (PDB) was extensively processed to ensure its quality and reliability. R and R-free values,

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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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