University College of Engineering, Nagercoil

A Lignin-derived bio-based admixture (LSBFB) was synthesized from Borassus flabellifer L. flower biomass through acid hydrolysis and chemical modification. The synthesized admixture exhibited a yield of 55.2 ± 4.8%, a homogeneous dark-brown appearance, a density of 1.15–1.25 g cm−3, and a moisture content of 3–8%. It was characterized using FTIR, Raman, UV-Visible spectroscopy, DLS, and SEM. The admixture was incorporated into M30 grade concrete at different dosages to evaluate its fresh, mechanical, and durability properties. Among the investigated dosages, 1% admixture by mass of cement exhibited the best overall performance, increasing slump and 28-day compressive strength by 21.4% and 14.3%, respectively, with corresponding improvements in flexural and split tensile strengths. Initial and final setting times increased by 20% and 16.4%, respectively. Water absorption and RCPT charge decreased by 22.9% and 35.7%, respectively. Under sulfate exposure, the 1% LSBFB mixture exhibited a 50% reduction in mass loss and an increase in compressive strength retention from 86% to 90.9% compared with the control. SEM-EDS examination of hardened concrete further supported the observed modification of matrix morphology and elemental characteristics. These findings demonstrate the potential of Borassus flabellifer flower biomass as a renewable source of bio-based concrete admixture, contributing to agricultural waste valorization and sustainable construction.

A Lignin-derived bio-based admixture (LSBFB) was synthesized from Borassus flabellifer L. flower biomass through acid hydrolysis and chemical modification. The synthesized admixture exhibited a yield of 55.2 ± 4.8%, a homogeneous dark-brown appearance, a density of 1.15–1.25 g cm −3 , and a moisture content of 3–8%. It was characterized using FTIR, Raman, UV-Visible spectroscopy, DLS, and SEM. The admixture was incorporated into M30 grade concrete at different dosages to evaluate its fresh, mechanical, and durability properties. Among the investigated dosages, 1% admixture by mass of cement exhibited the best overall performance, increasing slump and 28-day compressive strength by 21.4% and 14.3%, respectively, with corresponding improvements in flexural and split tensile strengths. Initial and final setting times increased by 20% and 16.4%, respectively. Water absorption and RCPT charge decreased by 22.9% and 35.7%, respectively. Under sulfate exposure, the 1% LSBFB mixture exhibited a 50% reduction in mass loss and an increase in compressive strength retention from 86% to 90.9% compared with the control. SEM-EDS examination of hardened concrete further supported the observed modification of matrix morphology and elemental characteristics. These findings demonstrate the potential of Borassus flabellifer flower biomass as a renewable source of bio-based concrete admixture, contributing to agricultural waste valorization and sustainable construction.

The demand for efficient prediction methods to evaluate and treat post-COVID disorders has increased due to the COVID-19 epidemic. This work presents a novel strategy for anticipating and addressing these health risks that makes use of transformer-based models. To improve the disease prognosis accuracy, this study integrates detailed tabular data and X-ray images of chest, who pretentious with COVID-19.A hybrid transformer model that incorporates the most recent advancements helps to predict the course of the disease. This approach makes it possible for the model to successfully adjust to each patient’s distinctive characteristics and disease progression. Preliminary findings indicate that the proposed approach demonstrates promising results in accurately prognosing post-COVID diseases. Integrating diverse datasets significantly improves the model’s predictive capabilities and treatment efficacy, allowing for tailored recommendations that align with individual patient needs. The Vision Token Transformer (ViToT) architecture is a Hybrid transformer, which contains Vision Transformer in order to train a model with chest X-ray (CXR) images and Feature Tokernizer transformer in order extract features from tabular data to capable of recognizing and categorizing key patterns in CXR images while also extracting optimal features from tabular data. Late fusion technique is applied to combine an extracted feature which leads to cardiovascular disorder. Across 150 training epochs, the model demonstrated a robust performance, achieving a final accuracy of 97.6

This research investigates a vinyl ester composites system strengthened with chemically modified flax fibers and finely milled Caesalpiniabonducella seed shell particulates (CBSSP) (1 μm) with emphasis on its mechanical response and drilling characteristics including performance after moisture exposure. The application of vinyl silane treatment promoted stronger bonding at the fiber-matrix interface and curing was facilitated using methyl ethyl ketone peroxide. Among all compositions fabricated, the hybrid laminate labelled FC2, containing 3 vol

Co(II), Ni(II), Cu(II), and Zn(II) complexes were synthesized from a Schiff base ligand using their respective acetate salts and characterized by CHN analysis, mass spectrometry, IR, UV-Vis, and p-XRD techniques. Spectroscopic studies confirmed coordination through the azomethine nitrogen atoms, leading to square-planar metal complexes, while p-XRD analysis revealed their nanocrystalline nature. Cyclic voltammetry demonstrated irreversible redox behavior, and thermal analysis supported the proposed structures. The photocatalytic performance of the complexes was evaluated by the degradation of methylene blue under visible light irradiation, with the Cu(II) complex exhibiting the highest degradation efficiency. Molecular docking studies revealed strong binding affinities toward the selected target proteins, which correlated well with the observed biological activities. DNA-binding studies demonstrated significant interactions with calf thymus DNA. Biological screening against four bacterial strains (B. subtilis, S. aureus, E. coli, and K. pneumoniae) and two fungal strains (A. niger and C. albicans) revealed significant antimicrobial potential, with the Cu(II) complex exhibiting the highest cytotoxic efficacy against the SK-MEL-28 cancer cell line. DFT calculations, including frontier molecular orbital (HOMO-LUMO) analysis and chemical reactivity descriptors, supported the experimental findings. Overall, the Cu(II) complex emerged as a promising candidate for photocatalytic and biomedical applications.