DEVELOPMENT, CHARACTERIZATION, AND EVALUATION OF SELEGILINE BIONANOSUSPENSIONS USING BUCHANANIA LANZAN AS BIOSTABILIZER

Objective: Development and evaluation of selegiline-loaded bio-nanosuspensions using biopolymer which was isolated from seeds of Buchanania lanzan (Chironji), used as biostabilizer and compared with standard polymer. Methods: The selegiline-loaded bio-nanosuspensions were prepared using novel biopolymer and standard stabilizer (hydroxypropyl methylcellulose) by sonication solvent evaporation method with different ratios (1%, 2%, 3%, 4%, and 5%) and evaluated for particle size, polydispersity index, zeta potential, pH stability studies, percentage entrapment efficacy, in vitro drug release, and stability studies. Results: The prepared selegiline bio-nanosuspensions were subjected to the best formulation based on comparison of above-mentioned evaluation parameters, so Fb2 (2%) formulation was found to be the best formulation showing an R2=0.9842, T50% of 32 h and T80% of 70 h, respectively. According to the release kinetics, the best fit model was found to be Peppas-Korsmeyer with Fickian diffusion (Higuchi matrix) as the mechanism of drug release, and Fs5 (5%) formulation was found to be the best formulation showing an R2=0.9564, T50% of 25 h and T80% of 60 h, respectively. According to the release kinetics, the best fit model was found to be Peppas-Korsmeyer with Fickian diffusion (Higuchi matrix) as the mechanism of drug release. The biopolymer provided excellent stability for the formulation and resulting particle size for the best formulation was found to be 360 nm. The best formulation was found to be polydispersity index of 0.43 with zeta potential of −5.12 mV. Conclusion: The prepared bio-nanosuspensions using biopolymer were found to be safe and compatible with the novel drug delivery for the treatment of depression in comparison of standard polymer

SMART INNOVATIVE APPROACH FOR DESIGNING FLUVOXAMINE LOADED BIO-NANOSUSPENSION FOR THE MANAGEMENT OF DEPRESSION

Objective: Design and evaluation of fluvoxamine loaded bio-nanosuspensions using biopolymer which was isolated from the wood of Santalum album used as the stabilizer.Methods: The main aim of the present investigation was to obtain an ocular drug delivery system with improved stability using biopolymer. The fluvoxamine loaded Bio-nanosuspension was prepared using novel biopolymer isolated from Santalum album by sonication solvent evaporation method with different ratios (1%, 2%, 3%, 4% and 5%) and evaluated for particle size, polydispersity index, zeta potential, pH stability studies, %entrapment efficacy, in vitro drug release, stability studies.Results: The prepared bio-nanosuspension was subjected to the best formulation based on the comparison of above-mentioned evaluation parameters, so Fb3 (3%) formulation was found to be the best formulation showing an R2 value of 0.9744, T50% of 31.3 h and T80% of 50.1 h respectively. According to the release kinetics, the best fit model was found to be Peppas Korsmeyer with Fickian Diffusion (Higuchi Matrix) as the mechanism of drug release. Santalum album provided excellent stability for the formulation, and resulting particle size for the best formulation was found to be 196 nm. The bio-nanosuspension had Polydispersity Index (PDI) of 0.19 with zeta potential of-20mV.Conclusion: The prepared bio-nanosuspension was found to be safe and compatible with the ophthalmic delivery for treatment of depression

High-pressure x-ray diffraction study of bulk and nanocrystalline PbMoO4

We studied the effects of high-pressure on the crystalline structure of bulk and nanocrystalline scheelite-type PbMoO4. We found that in both cases the compressibility of the materials is highly non-isotropic, being the c-axis the most compressible one. We also observed that the volume compressibility of nanocrystals becomes higher that the bulk one at 5 GPa. In addition, at 10.7(8) GPa we observed the onset of an structural phase transition in bulk PbMoO4. The high-pressure phase has a monoclinic structure similar to M-fergusonite. The transition is reversible and not volume change is detected between the low- and high-pressure phases. No additional structural changes or evidence of decomposition are found up to 21.1 GPa. In contrast nanocrystalline PbMoO4 remains in the scheelite structure at least up to 16.1 GPa. Finally, the equation of state for bulk and nanocrystalline PbMoO4 are also determined.Comment: 18 pages, 4 figure

Spin-lattice coupling mediated giant magnetodielectricity across the spin reorientation in Ca2FeCoO5

The structural, phonon, magnetic, dielectric, and magneto dielectric responses of the pure bulk Brownmillerite compound Ca2FeCoO5 are reported. This compound showed giant magneto dielectric response (10%-24%) induced by strong spin-lattice coupling across its spin reorientation transition (150-250 K). The role of two Debye temperatures pertaining to differently coordinated sites in the dielectric relaxations is established. The positive giant magneto-dielectricity is shown to be a direct consequence of the modulations in the lattice degrees of freedom through applied external field across the spin reorientation transition. Our study illustrates novel control of magneto-dielectricity by tuning the spin reorientation transition in a material that possess strong spin lattice coupling.Comment: 7 pages, 12 figure

Load Balancing in SDN-Enabled WSNs Toward 6G IoE: Partial Cluster Migration Approach

The vision for the sixth-generation (6G) network involves the integration of communication and sensing capabilities in internet of everything (IoE), towards enabling broader interconnection in the devices of distributed wireless sensor networks (WSN). Moreover, the merging of SDN policies in 6G IoE-based WSNs i.e. SDN-enable WSN improves the network’s reliability and scalability via integration of sensing and communication (ISAC). It consists of multiple controllers to deploy the control services closer to the data plane for a speedy response through control messages. However, controller placement and load balancing are the major challenges in SDN-enabled WSNs due to the dynamic nature of data plane devices. To address the controller placement problem, an optimal number of controllers is identified using the articulation point method. Furthermore, a nature-inspired cheetah optimization algorithm is proposed for the efficient placement of controllers by considering the latency and synchronization overhead. Moreover, a load-sharing based control node migration (LS-CNM) method is proposed to address the challenges of controller load balancing dynamically. The LS-CNM identifies the overloaded controller and corresponding assistant controller with low utilization. Then, a suitable control node is chosen for partial migration in accordance with the load of the assistant controller. Subsequently, LS-CNM ensures dynamic load balancing by considering threshold loads, intelligent assistant controller selection, and real-time monitoring for effective partial load migration. The proposed LS-CNM scheme is executed on the open network operating system (ONOS) controller and the whole network is simulated in ns-3 simulator. The simulation results of the proposed LS-CNM outperform the state of the art in terms of frequency of controller overload, load variation of each controller, round trip time, and average delay

AUTOMATIC DETECTION OF ACCESS POINT LOCATION USING MACHINE LEARNING AND PRIOR MODEL CALIBRATION

Knowledge of the correct location of an access point (AP) is of vital importance within a wireless ecosystem. Techniques are presented herein that support a new AP location identification method that uses prior model calibrations and machine learning (ML) techniques to detect an AP’s location using either received signal strength indicator (RSSI) data or fine time measurement (FTM) protocol data. Among other things, the new method is faster and more accurate than conventional trilateration methods