Kakatiya University is a public university located in Hanmakonda in the Indian state of Telangana. It was most recently accredited with an "A" Grade by the National Assessment and Accreditation Council of India on 12 September 2017. The university offers about 120 programs at undergraduate and postgraduate levels in the faculties of arts, science, commerce and business management, social sciences, education, engineering and pharmaceutical sciences with constituent and affiliated colleges spread over 12 districts of Telangana. The faculties include 248 teaching staff and 622 non-teaching staff.
To develop spiramycin lipid-based nano delivery systems for improved oral bioavailability (BA) and antibacterial action. Spiramycin lipid nanoemulsions/solid lipid nanoparticles (LNEs/SLNs) are novel, not previously reported, and have the potential to be industrially produced for patient benefit. LNEs/SLNs were prepared by using known methods and characterized for particle size, poly dispersity, charge, drug entrapment, drug content, and drug release. Bioavailability (BA) was found in rats. Next, in vitro antibacterial action was seen by the agar diffusion test. IVIVCs (In vitro In vivo correlations) of optimal LNE and SLN were analysed. The size, Polydispersity Index ( PDI), and Zeta potential (ZP) of LNEs varied in between 212.1 ± 0.95 and 269.7 ± 1.6 nm, 0.12 ± 0.03 and 0.25 ± 0.03, and − 28.6 ± 1.8 and − 30.5 ± 1.1 mV, respectively. Drug content, entrapment efficiency (EE), and cumulative release of LNEs varied in between 98.1 ± 1.24 and 98.6 ± 0.2
This study investigates the integrated enhancement of concrete performance through Microbially Induced Calcite Precipitation (MICP) and steel fiber reinforcement to improve mechanical properties, durability, and microstructural characteristics. Sixteen concrete mixes including conventional, steel fiber-reinforced (0.8–2
Asthma poses significant health risks, with severe exacerbations often managed through anti-inflammatory therapies and biologics. Personalized treatment requires accurate prediction of individual responses, yet clinical variability and multiple predictive factors complicate this task. A triadic deep learning framework is proposed for predicting pediatric asthma treatment responses. The first controller employs a multi-layer recurrent neural network (ML-RNN) for temporal modeling, the second integrates pre-trained feature extraction with ML-RNN classification, and the third applies the modified tomtit flock optimization (MTFO) algorithm for optimal feature selection, reducing dimensionality and retaining critical clinical variables. Evaluation on a dataset from Srebrnjak Children’s Hospital, Croatia, demonstrates that the UNet+MTFO + ML-RNN model achieves 98.04
The sol-gel technique was employed to synthesise Sm3+-doped Cu-MgFe2O4 spinel ferrites, confirming the samples’ cubic spinel structure. X-ray diffraction analysis confirmed a single-phase cubic spinel structure, with Rietveld refinement indicating that Sm3 + ions occupy octahedral sites, leading to lattice deformation and improved crystallinity. With increasing Sm3 + concentration, both grain and particle sizes decreased. The mechanical parameter indicated that the surface area varied between 29.645 and 31.606 (m2/g). The SEM and TEM images showed that each particle had a spherical morphology. FESEM illustrations indicated grain sizes between 58.16 and 62.15 nm. The compositional verification was conducted using EDS analysis, which confirmed the presence of components in appropriate proportions. UV-vis analysis identified a direct band gap ranging from 1.85 to 1.67 eV, suggesting semiconducting properties of the materials. Sm3 + doping enhanced the dielectric constant through its effects on space charge polarisation and charge hopping, with conductivity following a Debye-type relaxation mechanism. DC electrical conductivity studies further confirmed the semiconducting nature of these materials. Magnetic measurements were conducted using VSM, revealing that the saturation magnetisation decreased from 26.826 to 22.542 emu/g upon the introduction of the Sm3+ ions. The MR/MS ratio for all ferrites is below 0.5, confirming their ferromagnetic isotropy and their functioning as magnetic semiconductors.
The current study used the citrate sol-gel auto-combustion method to fabricate Yb3+-doped Cu0.7Mg0.3Fe2O4 (Cu0.7Mg0.3Fe2-xYbxO4; x = 0.00, 0.004, 0.008, 0.012, 0.016, 0.020) ferrite nanoparticles. The P-XRD observations confirmed the presence of nano-spinel crystallites with sizes between 35.84 nm and 37.92 nm. According to FE-SEM and TEM data, Yb3+ doping improved grain dispersion and slightly increased grain size. All the FE-SEM micrographs showed spherical, well-structured, polycrystalline particles believed to consist of multiple grains. FT-IR measurements identify the two ferrite characteristic bands, upsilon 1 (similar to 386-401 cm(-1)) and upsilon(2) (similar to 510-574 cm(-1)). Additional Yb3+ doping decreased the optical band gap from 3.35 to 2.81 eV. As the temperature increases, the DC resistivity decreases in both the ferromagnetic and paramagnetic regions. CMYF nano-ferrites exhibit standard dielectric behaviour in terms of dielectric constant, dielectric loss, and AC conductivity. A lower loss tangent in Yb-doped Cu-Mg nano-ferrite materials is beneficial for deflection coupling and high-frequency applications. Coercivity (Hc) increased, and saturation magnetisation (Ms) decreased in proportion to the addition of Rare-Earth Yb3+ ions. The highest coercivity (204.441 Oe) and the lowest saturation magnetisation (21.799 emu/g) of CMYF-5 make it suitable for high-frequency, microwave, and magnetic recording applications, as well as magnetoelectric composite applications, where magnetic stability and reduced loss are essential.
