K L University, officially K L Deemed to be University, formerly K L College of Engineering (KLCE) and Koneru Lakshmaiah Educational Foundation (KLEF), is a higher educational institution Deemed to be University, located in Vaddeswaram which is part of Mangalagiri Tadepalle Municipal Corporation nearby Vijayawada, Andhra Pradesh, India. Established in 1980 as a college of engineering, it consists of eight schools, offering academic programs at UG, PG, doctoral, and post-doctoral industry-focused courses.
Geopolymers have now made their way through as a low-carbon substitute for Portland cement with the increasing demand for construction materials that are both sustainable and thermally resilient. This research revolves around the fly ash–calcium carbide residue (FA–CCR) geopolymer composites and the attempts that are made to optimize their properties and performance comprehensively, i.e. mechanical, thermal, environmental, and economic ones, by applying an experimental and decision-making integrated framework. In total, ten different geopolymer mixes were formulated through CCR content from 0 to 20
Accurate classification of glioma grades from magnetic resonance imaging (MRI) is essential for clinical decision-making in neuro-oncology. Although deep learning performance has been impressive with classical models, they struggle with high-dimensional medical imaging data and generalise poorly beyond their training data, especially in time- and resource-constrained settings. In light of the aforementioned challenges, we propose QuantumMedDx, a hybrid quantum–classical learning framework for classifying gliomas using MRI. The framework combines quantum feature encoding and variational quantum circuits with classical neural inference to improve diagnostic performance. The base model, QImageNet, uses amplitude-based quantum encoding for writing, entanglement-enabled parameterised quantum circuits (EPQCs) as feature extractors, and classical dense layers for classifying HGG and LGG from multimodal MRI slices. We demonstrate the effectiveness of the proposed approach on the BraTS 2021 benchmark dataset using a patient-aware 5-fold cross-validation protocol. Experimental results show that QuantumMedDx achieves accuracies of 94.12
This study explores the antidiabetic potential of Turbinaria decurrens marine seaweed extract loaded solid lipid nanoparticles (SLNs) targeting the TGFBR1 signalling pathway using an integrated computational and experimental approach. A Random Forest based machine learning model was developed to predict TGFBR1 inhibitory activity, achieving a prediction accuracy of 91.02
A new series of amide derivatives of oxazol-2-yl)pyrazin-2-yl)-5-(pyridin-4-yl)-1,3,4-oxadiazole derivatives were designed, synthesized and evaluated in-vitro anticancer activities against breast cancer (MCF-7), lung cancer (A549), colon cancer (Colo-205) and ovarian cancer (A2780) by using of MTT assay, and the etoposide used as reference drug. The IC50 values ranges of compound from 0.23 ± 0.045 µM to 7.38 ± 5.62 µM, where etoposide showed values ranges from 0.17 ± 0.034 µM to 3.34 ± 0.152 µM. Most of the tested derivatives were showed good to moderate activities than etoposide. This study investigates the multitarget anticancer potential of compounds 21a–21d through molecular docking and ADME–Tox analysis. The compounds demonstrated strong binding affinities and critical interactions with EGFR and VEGFR2, indicating their potential to modulate key cancer-associated pathways, including proliferation and angiogenesis. ADME–Tox predictions revealed good solubility but identified limitations such as low intestinal absorption, P-gp–mediated efflux, and inhibition of multiple CYP450 isoforms, highlighting the need for further structural optimization. Overall, these findings provide mechanistic insights supporting the potential of this scaffold in multitarget-oriented anticancer drug discovery.
To develop energy-efficient devices for a sustainable future, this study investigated thulium-doped lanthanum zirconate (La2Zr2O7) as a phosphor for solid-state lighting. The material was synthesized via the sol–gel technique. X-ray diffraction (XRD) analysis was used to confirm the phosphor phase, with no impurity peaks observed. The phosphor is single-phase, has a pyrochlore cubic formation, and the crystallite size was found to be around 36 nm. Fourier transform infrared (FTIR) spectroscopy was used to identify the various bonds in the host lattice. The energy bandgap of the optimized phosphor was calculated to be 4.87 eV using the diffuse reflectance data by applying the Kubelka–Munk function. Photoluminescence (PL) emission and excitation studies were also conducted on these phosphors. A sharp blue luminescence, centered at 460 nm under 360 nm excitation, was observed, originating from the 1D2 → 3F4 transition. The intensity of this luminescence increased up to 0.05 mol of Tm3+ ions in the host lattice. Dipole–dipole interaction was confirmed as the interaction between the activator ions, leading to the quenching of the concentration. The Commission Internationale de l’Eclairage (CIE) coordinates of the prepared phosphors lay in the blue region, with the optimized sample exhibiting the highest color purity of around 76
