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Toward knowledge societies in the gandhian perspective and the civil rights movement
Mohandas K Gandhi and Martin Luther King, Jr as disciples of nonviolence fought against oppression. Gandhi and King strove to learn beyond what their schools taught them and became better educated men. Gandhi had a vision and King a dream. Through education Gandhi helped those who had Kings dream to connect the dream with the vision to deal with the awful reality of injustice and helped to make the world a better place. This paper through the four Pillars of Learning will demonstrate how Gandhi impacted the Civil Rights Movement with his vision and how leaders of the Civil Rights Movement and King among them appropriated the vision of Gandhi and used nonviolence as a tool to deal with the oppression under which they lived. 2019 Journal of Dharma: Dharmaram Journal of Religions and Philosophies (DVK, Bangalore). -
10-camphor sulfonic acid: A simple and efficient organocatalyst to access anti-SARS-COV-2 Benzoxanthene derivatives
10-Camphor sulfonic acid (10-CSA) has gained popularity as an organocatalyst due to its broad range of solubility and user-friendliness. Affordable multicomponent reactions (MCRs) for the preparation of benzoxanthenes (4a-4 h) (5a-5i) are presented in this work. Extensive investigations and records have been conducted on the diverse biological features exhibited by xanthenes and benzoxanthenones, such as their antiviral, antibacterial, and anti-inflammatory capabilities.Using ?-naphthol, dimedone, and aldehydes, we demonstrate a cost-effective and environmentally friendly catalytic method. Under ideal circumstances, the 10-CSA catalyzes one-pot reaction, procuring impressive amounts of benzoanthenes (8595 %). All the synthesized compounds were characterized by 1H NMR and 13C NMR. A wide variety of suitable chemicals, simple work-up procedures, and solvent-free synthesis outperforms numerous existing methods for procuring biologically relevant benzoxanthene derivatives are some of the interesting features of this organocatalyzed bronsted acid process. Therefore this synthesis is industrially inevitable. Furthermore, computational studies such as molecular docking and ADMET data analysis were performed on a number of the synthesized benzoxanthene molecules. This has led to the identification of the most potent synthetic against the SARS-CoV-2 spike protein. Additionally, to mimic how medicinal compounds interact to target proteins, computational docking and dynamics techniques were used. These studies showed that, in terms of binding affinity and other crucial traits, 4a, 4b, and 5a are potential possibilities. Overall, the current study should be of great help in the development of benzoxanthene analogs which can be potential drugs for treatment of COVID-19. 2024 Elsevier B.V. -
Prediction of ground water quality in western regions of Tamilnadu using LSTM network
Assessing and safeguarding groundwater quality is critical for sustaining life in water-scarce regions like western Tamil Nadu. The motivation behind this study stems from the pressing need to address water quality challenges in a region grappling with scarcity. Despite existing efforts, a notable research gap exists in predictive tools that comprehensively capture the nuanced temporal variations and trends in groundwater quality. This is where the LSTM network steps in, showcasing exceptional accuracy in short-term predictions and discerning long-term trends. This research uses Long Short-Term Memory (LSTM) networks, a variant of recurrent neural networks, to predict groundwater quality in South Indian Regions, especially in Tamil Nadu. Extensive data, encompassing parameters such as pH, dissolved oxygen, turbidity, and various chemical constituents, were gathered over an extended timeframe. The LSTM model was then trained on this historical dataset, factoring in temporal dependencies and seasonality inherent in groundwater quality data. The validation process rigorously tests the LSTM model against actual groundwater quality measurements. The results were impressive, as the model demonstrated a remarkable ability to unravel the complex variations in groundwater quality. 2024 Elsevier B.V. -
Studies on the antifungal activity of biotemplated gold nanoparticles over Candida albicans
Green synthesis and applications of gold nanoparticles are more fascinating research area due to their unique optical properties and high X-ray attenuation power. In this study, we have synthesized gold nanoparticles of uniform size (5 nm) with spherical shape. UVvis spectroscopy, Transmission Electron Microscopy and Atomic Force Microscopy were employed to characterize the synthesized gold nanoparticles. The biomedical applications of the synthesized gold nanoparticles were carried out against most prevalent human fungal pathogen, Candida albicans. Broth micro dilution assay was used to determine minimum inhibitory concentration (MIC). We observed that 0. 5 mM concentration was effective in inhibiting the growth of fungal cells which was later confirmed by spot assay. 2019 Elsevier Ltd -
Evaluation of Wound Healing Effect of Curcumin Loaded OPL Carbon Nanospheres Embedded Chitosan Membranes
Biowaste-derived carbon biomaterial scaffolds are being used for wound healing and are the focus of interest. Carbon nanospheres derived from oil palm leaves without any catalysts via pyrolysis were loaded with a traditional drug curcumin. The wound healing scaffolds were fabricated on the PP non-woven fabric support using chitosan as the biopolymer matrix. Prepared carbon nanospheres and the scaffolds were characterized using ATR-IR and FESEM techniques. The wettability of scaffolds was examined to ensure the feasible moisture absorption ability, in vitro drug release profile and in vitro antibacterial activity against two strains of bacteria. The in vivo wound healing feature of scaffolds was studied by excision wound model for MRSA infected wound. Measured wound contraction percentage and the bacterial count on wounds at regular time intervals proved that, the scaffold dressed with chitosan and curcumin loaded carbon nanospheres showed an efficient reconstruction of skin through histopathological investigations. 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. -
Battle fatigue of Covid 19 warriors Heal the healers
[No abstract available] -
Work from home in the pandemic era: Loss of mental equilibrium?
[No abstract available] -
Effect of poetry intervention on emotional intelligence among Indian young adults
This study examines the impact of poetry intervention on emotional intelligence (EI) among young Indian adults using purposive sampling and the Emotional Intelligence Questionnaire (EIQ-30). Thirty participants with low EI scores were selected through criterion sampling and divided into Experimental and Control groups. A concurrent embedded design was employed, with pre- and post-test assessments analyzed using Paired Sample t-tests. Results indicate a significant improvement in EI due to the poetry intervention. Thematic analysis of qualitative data revealed six key themes: Navigating Inner Struggles, Personal Development and Coping, Acceptance and Growth, Social Bonds and Interactions, Artistic Social Engagement, and Reunion Dynamics and Expectations. These findings highlight poetrys potential to foster emotional expression, self-awareness, and social connection. The study underscores poetry as a transformative tool for personal growth and meaningful interpersonal engagement, contributing valuable insights into its role in enhancing emotional intelligence and promoting psychological well-being. 2025 National Association for Poetry Therapy. -
10-camphor sulfonic acid: A simple and efficient organocatalyst to access anti-SARS-COV-2 Benzoxanthene derivatives
10-Camphor sulfonic acid (10-CSA) has gained popularity as an organocatalyst due to its broad range of solubility and user-friendliness. Affordable multicomponent reactions (MCRs) for the preparation of benzoxanthenes (4a-4 h) (5a-5i) are presented in this work. Extensive investigations and records have been conducted on the diverse biological features exhibited by xanthenes and benzoxanthenones, such as their antiviral, antibacterial, and anti-inflammatory capabilities.Using ?-naphthol, dimedone, and aldehydes, we demonstrate a cost-effective and environmentally friendly catalytic method. Under ideal circumstances, the 10-CSA catalyzes one-pot reaction, procuring impressive amounts of benzoanthenes (8595 %). All the synthesized compounds were characterized by 1H NMR and 13C NMR. A wide variety of suitable chemicals, simple work-up procedures, and solvent-free synthesis outperforms numerous existing methods for procuring biologically relevant benzoxanthene derivatives are some of the interesting features of this organocatalyzed bronsted acid process. Therefore this synthesis is industrially inevitable. Furthermore, computational studies such as molecular docking and ADMET data analysis were performed on a number of the synthesized benzoxanthene molecules. This has led to the identification of the most potent synthetic against the SARS-CoV-2 spike protein. Additionally, to mimic how medicinal compounds interact to target proteins, computational docking and dynamics techniques were used. These studies showed that, in terms of binding affinity and other crucial traits, 4a, 4b, and 5a are potential possibilities. Overall, the current study should be of great help in the development of benzoxanthene analogs which can be potential drugs for treatment of COVID-19. 2024 Elsevier B.V. -
Facile green synthesis of MoO2/BiOCl nanocomposite using Hibiscus rosa-sinensis leaf extract and its application in visible-light-driven oxidative transformations
This article describes a green approach for synthesizing MoO2/BiOCl nanocomposite using a combustion procedure with Hibiscus rosa-sinensis leaf extract as a renewable fuel source, which also acts as a reducing and stabilizing agent. The synthesized material is characterized using X-ray diffraction (XRD), scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDX), X-ray photoelectron spectroscopy (XPS), transmission electron microscopy (TEM) and Fourier-transform infrared spectroscopy (FTIR), confirming the successful formation of the nanocomposite. The photocatalytic performance of MoO2/BiOCl nanocomposite was evaluated for visible-light-driven oxidative transformations of different aromatic amines to nitroarenes. The unique structure of MoO?/BiOCl provides better accessibility to the reactant molecules, facilitating faster and more efficient oxidation. The advantages of this oxidative process are high catalytic efficiency, mild reaction conditions, recyclability, environmental sustainability, and producing nitroarenes in good to exceptional yields (6795 %). The conversion of the compounds was validated using gas chromatography-mass spectrometry (GCMS), 1H NMR, and 13C NMR. The results demonstrated that the MoO2/BiOCl nanocomposite exhibited enhanced photocatalytic activity compared to its components, attributed to the synergistic effects between MoO2 and BiOCl. The use of Hibiscus rosa-sinensis leaf extract in the synthesis is not only environmentally friendly and cost-effective but also contributes to the stability and efficiency of the nanocomposite. 2025 Elsevier B.V. -
Physicochemical characterization of fluoride solid electrolyte PbSnF4 synthesized via sonochemical reaction
Demand for batteries with enhanced energy density and improved thermal safety is a key focus for researchers striving to build a sustainable environment. As fluoride ion batteries (FIB) are expected to exhibit high energy density and exceptional thermal stability, research activities are focused on identifying fluoride ion-conducting electrolytes. Among the various fluoride ion conductors, PbSnF4, renowned for its superior ionic conductivity, is typically synthesized via mechanochemical reaction. In the present work, PbSnF4 was synthesized via an acoustic cavitation-driven sonochemical reaction. This novel synthesis route has reduced the duration of the synthesis process to a few minutes compared with several hours for the mechanochemical reaction. The structural, morphological, and ionic transport properties are investigated. The ionic conductivity of the resulting orthorhombic PbSnF4 is evaluated to be 4.5 10?4 S/cm at RT. The contribution of fluoride ions to the total ionic conductivity is estimated via the DC polarization technique as 0.92. The electrochemical stability window (ESW) is measured through cyclic voltammetry (CV) as 0.7 V with PbF2/PbSnF4/SS cell configuration. 2025 -
Light Tracking Bot Endorsing Futuristic Underground Transportation
Controlling a bot machine that uses non-conventional energy form, i.e. light is said to have an upper hand in pioneering transportation system. The expanding request of making the streets more secure has persuaded a ton of organizations to create finest autonomous vehicles. This paper will concentrate on the potential outcomes of utilizing just light-sensing gadgets alone for the light tracking bot using advanced color detection algorithm. The algorithm would help the bot in sensing the color of light and act accordingly, for instance green color to proceed, red color to stop. This particular requisition has high scope in real time application over the emergent underground transportation system; speculating on how the emerging innovative advances fit to the fiddle urban areas of the 21st century. 2020, Springer Nature Switzerland AG. -
A Pragmatic Study on Movie Recommender Systems Using Hybrid Collaborative Filtering
The Movie Recommendation System (MRS) is part of a comprehensive class of recommendation systems, which categorizes information to predict user preferences. The sum of movies is increasing tremendously day by day, and a reliable recommender system should be developed to increase the user satisfaction. Most of the approaches are made to prevent cold-start, first-rater drawbacks, and gray sheep user problems, nevertheless, in order to recommend the related items, various methods are available in the literature. Firstly, content-based method has some drawbacks like data of similar user could not be achieved, and what category of these items the user likes or dislikes are also not known. Secondly, this paper discusses about collaborative filtering to find both user and item attributes that have been considered. Since there exist some issues pictured with collaborative filtering, so this paper further aims into hybrid collaborative filtering and deep learning with KNN algorithm of ratings of top K-nearest neighbors. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Big data management and smart drug delivery system based on Internet of Bio-Nano Things
Integrating big data analytics and Internet of Bio-Nano Things (IoBNT) presents disruptive prospects in healthcare, especially in advancing intelligent medication delivery systems. This chapter examines the complex dynamics of big data management, emphasizing the collection, processing, and analysis of extensive biomedical data produced by IoBNT-enabled devices. IoBNT, an innovative network of bio-nanosensors and actuators, enables accurate and real-time monitoring of physiological states, hence advancing personalized and targeted drug delivery systems. Key components like data integration, predictive analytics, machine learning algorithms, and the way contemporary communication protocols enable smooth data flow between bio-nanodevices and healthcare infrastructure. The chapter also explores the challenges associated with data security, privacy, next scalability within the frameworks of IoBNT designs. Using big data analytics, IoBNT-based innovative drug delivery systems can improve therapeutic outcomes by optimizing dosage, timing, and administration paths. This chapter underscores the potential of the Internet of Things and big data to transform healthcare in the future through a more agile, responsive, and efficient method of disease management. The discussion is supported by analyzing emerging trends and concrete case studies, illustrating how these advancements can lead to significant improvements. 2026 Elsevier Inc. All rights reserved.. -
Reproductive health vs overall well-being: systematic review of studies on women migration and health care utilization
Purpose: Sustainable development goals (SDGs) recognize the importance and interrelation between health and migration. Women migration and health is well researched, yet less attention is paid to their healthcare utilization, especially with regard to overall health and well-being. This paper aims to highlight the gap in the existing literature on health care utilization by women migrants. Design/methodology/approach: A systematic review was carried out following the PRISMA guideline. For the review, the literature was taken from three electronic databases, which were Springer Link, Taylor and Francis and PubMed. From a total of 1,575 studies, seven studies cleared the eligibility screening. Findings: Of seven studies, five were found to focus on the sexual and reproductive health of the women migrants than their general health and well-being, and less attention is paid to health promotion and illness prevention beyond reproductive and sexual health. While, studies on general health have focused on the influence of health status on health care utilization and the influence of health insurance in health care utilization. The review has revealed the disparities faced by migrant women in different countries while seeking health care. Originality/value: Studies on women migration and health care utilization have largely focused on the reproductive and sexual health needs of women, and this overemphasis often undermines their accessibility and affordability to overall health and well-being. Therefore, the present study has moved away from the concept of sexual and reproductive health tot that of overall health and well-being of women migrants. 2021, Emerald Publishing Limited. -
Changes in wage trends and earnings differences in Kerala /
The Indian Journal of Labour Economics, Vol.61, Issue 4, pp.624-638, ISSN No: 0971-7927. -
Interactions of Environmental Pollutant Aromatic Amines With Photo Excited States of Thiophene Substituted 1,3,4-Oxadiazole Derivative: Fluorescence Quenching Studies
In the present work, the fluorescence quenching of novel thiophene substituted1,3,4-oxadiazole derivative 2-(4-(4-vinylphenyl) phenyl)-5-(5-(4-vinylphenyl)thiophen-2-yl)-1,3,4-oxadiazole (TSO) by five different environmental pollutant aromatic amine derivatives like 2,4-dimethylaniline, 3-chloroaniline, 4-chloroaniline, o-anisidine, and m-toluidine has been studied at room temperature through steady-state and time-resolved methods. It is observed that, the quenching efficiency is highest in the case of o-anisidine and least in the case of 3-chloroaniline. The fluorescence quenching mechanism between TSO and aromatic amines is analysed through different quenching models. The results suggest that, the fluorescence quenching is due to diffusion assisted dynamic or collisional quenching according to the sphere of action static quenching model and according to the finite sink approximation model, the bimolecular quenching reactions are due to the collective effect of dynamic and static quenching. Further, cyclic voltammetry and DFT studies suggest that the fluorescence quenching is due to electron transfer. Binding equilibria analysis confirms the 1:1 stoichiometric ratio between fluorophore and the quencher. 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. -
The diffuse radiation field at high galactic latitudes /
The Astrophysical Journal, Vol.858, Issue 2, pp.1-9, ISSN No: 1538-4357. -
Dynamics of Sutterby fluid flow due to a spinning stretching disk with non-Fourier/Fick heat and mass flux models
The magnetohydrodynamic Sutterby fluid flow instigated by a spinning stretchable disk is modeled in this study. The Stefan blowing and heat and mass flux aspects are incorporated in the thermal phenomenon. The conventional models for heat and mass flux, i.e., Fourier and Fick models, are modified using the Cattaneo-Christov (CC) model for the more accurate modeling of the process. The boundary layer equations that govern this problem are solved using the apt similarity variables. The subsequent system of equations is tackled by the Runge-Kutta-Fehlberg (RKF) scheme. The graphical visualizations of the results are discussed with the physical significance. The rates of mass and heat transmission are evaluated for the augmentation in the pertinent parameters. The Stefan blowing leads to more species diffusion which in turn increases the concentration field of the fluid. The external magnetism is observed to decrease the velocity field. Also, more thermal relaxation leads to a lower thermal field which is due to the increased time required to transfer the heat among fluid particles. The heat transport is enhanced by the stretching of the rotating disk. 2021, Shanghai University.