Rashtrasant Tukadoji Maharaj Nagpur University (RTMNU), formerly Nagpur University, is a public state university located in Nagpur, Maharashtra. It is one of India's oldest universities, as well as the second oldest in Maharashtra. It is named after Rashtrasant Tukdoji Maharaj, a spiritual leader, orator, and musician from Vidarbha. The university is a member of the Association of Indian Universities and the Association of Commonwealth Universities.
The densities and speed of sound in binary mixtures consisting of water with 1,2-propanediol, 1,3-propanediol, 1,2-butanediol, and 1,3-butanediol were extensively measured across the entire composition spectrum, ranging from 288.15 K to 323.15 K with 5 K intervals. Utilizing the gathered experimental data, excess properties including excess molar volume, excess isentropic compressibility, excess molar isentropic compressibility, excess speed of sound, excess isobaric thermal expansion, excess acoustic impedance and excess free length was computed for these examined mixtures. The outcomes were evaluated based on molecular interactions and structural impacts. In the investigation of excess molar volume, it was observed that smaller water molecules tend to form more efficient arrangements when packing with larger diols. In order to investigate molecular electronic properties, Density Functional Theory (DFT) calculations were also carried out. The parameters that were obtained confirmed the existence of intermolecular interactions between water and diol molecules.
Nasal administration provides a route for drug delivery to the brain. This research aimed to formulate and evaluate donepezil hydrochloride (DNP)-loaded nanocomplexes using dextran as a cationic polymer and gellan gum as an anionic polymer, to enhance brain delivery via the intranasal route, avoid its oral enzymatic degradation in the gastric, and enhance its bioavailability. Nanocomplexes were formulated at four different pH levels: 5, 8, 10, and 12. The optimized batch, selected based on physicochemical characteristics, was obtained at pH 10 and exhibited a production yield of 93.18 ± 0.33
The development of durable, intelligent wound-care systems is hindered by the mechanical fragility and signal instability of conventional flexible electronics. To address these limitations, this study presents a self-healing smart bandage integrating 2D material–based conductive networks, multimodal sensing, and AI-driven wound-state analytics. The objective is to design and simulate a fully flexible, self-repairing electronic platform capable of monitoring temperature, pH, moisture, and strain while maintaining long-term performance under repetitive deformation. Using COMSOL Multiphysics, the mechanical, electrical, and thermal behavior of a MXene/GO/MoS2–hydrogel composite was evaluated, demonstrating 94.7
This work investigates the LRS (Locally Rotationally Symmetric) Bianchi Type II cosmological framework that incorporates bulk-viscous fluid, string dust, a magnetized component, and a time-dependent cosmological term (Lambda) within Rosen's bimetric theory of gravitation (BTG). By solving field equations developed by Rosen's, we construct exact solutions that describe the dynamical evolution of an anisotropic universe influenced by bulk viscosity, cosmic strings, magnetic fields, and dark energy. The analysis highlights the role of Lambda in driving the late-time acceleration of cosmic expansion, examines the transformation from a decelerated to an accelerated phase, and explores anisotropic dark energy dominated epochs. The results of our model provide insights into how magnetic fields, cosmic strings, and dark energy influence the universe's structure, background radiation, and evolution in alternative gravity theories. Furthermore, the geometric and physical properties of the model are examined under both power-law and exponential-law expansions.
Traditional anthropometric measures such as body mass index (BMI) have limitations in accurately assessing cardiometabolic risk and body fat distribution. Consequently, advanced anthropometric indices have emerged as more specific tools for assessing metabolic health and predicting cardiovascular complications. To assess the prevalence of metabolic syndrome (MetS) in the study population and evaluate its relationships with advanced anthropometric indices and selected cardiometabolic marker. The study comprised of 2354 participants from the tertiary care setting and screened for metabolic syndrome using IDF and revised NCEP ATP III criteria. The demographic, anthropometric and biochemical data were recorded. BMI and advanced anthropometric indices and cardiometabolic marker, viz., body roundness index (BRI), conicity index (CI), waist-to-height ratio (WHtR), relative fat mass (RFM) and triglyceride-glucose index (TyG index), were computed. Advanced anthropometric indices and cardiometabolic marker showed significant associations with age, gender, BMI and BMI classification stages (p < 0.000). The prevalence of MetS was 40.2
