The Statistical Properties of Superfluid Turbulence in 4^4He from the Hall-Vinen-Bekharevich-Khalatnikov Model

We obtain the von K\'arm\'an-Howarth relation for the stochastically forced three-dimensional Hall-Vinen-Bekharvich-Khalatnikov (3D HVBK) model of superfluid turbulence in Helium ($^4$He) by using the generating-functional approach. We combine direct numerical simulations (DNSs) and analyitcal studies to show that, in the statistically steady state of homogeneous and isotropic superfluid turbulence, in the 3D HVBK model, the probability distribution function (PDF) $P(\gamma)$, of the ratio $\gamma$ of the magnitude of the normal fluid velocity and superfluid velocity, has power-law tails that scale as $P(\gamma) \sim \gamma^3$, for $\gamma \ll 1$, and $P(\gamma) \sim \gamma^{-3}$, for $\gamma \gg 1$. Furthermore, we show that the PDF $P(\theta)$, of the angle $\theta$ between the normal-fluid velocity and superfluid velocity exhibits the following power-law behaviors: $P(\theta)\sim \theta$ for $\theta \ll \theta_*$ and $P(\theta)\sim \theta^{-4}$ for $\theta_* \ll \theta \ll 1$, where $\theta_*$ is a crossover angle that we estimate. From our DNSs we obtain energy, energy-flux, and mutual-friction-transfer spectra, and the longitudinal-structure-function exponents for the normal fluid and the superfluid, as a function of the temperature $T$, by using the experimentally determined mutual-friction coefficients for superfluid Helium $^4$He, so our results are of direct relevance to superfluid turbulence in this system.Comment: 12 pages, 3 figure

Applied Mathematics for Pharmaceutical Problems Using Robotics as Assistive Tools for Learning: A Comprehensive Review

Smart machine endures getting smarter as they are going to access more about the facts and pieces of evidence that make our work even more authentic than before. The term “robot” was created in 1920 by Czechoslovakian playwright Karel Capek and has been a principal point in science fiction ever since. Pharmacy automation involves machine-driven or mechanical processes of distributing, dispensing and managing medications. Pharmaceutical organizations take advantage of robotics to manoeuvre biological or chemical samples around to integrate novel chemical structure or to test the pharmaceutical value of remaining organic material. Pharmaceutical applications with aid of robotic systems are progressively accepted for enhanced throughput and proficiency to satisfy this growing demand, within a rapidly ageing population that directly requires sophisticated medical devices and newer drugs. According to Robot IQ, mathematics is one of the few main robotics attributes that cannot be learned along the way. A good background in many fields of mathematics and science is needed for robotics at the very least. Several studies have shown that robotics is an effective medium for teaching STEM (Science, Technology, Engineering, and Mathematics) skills to students. Thus, Novel methods are under development in machine learning, symbolic reasoning and signal processing which may be utilized in production and packaging concerned to the pharmaceuticals. The target is to review the Planning, Safety, Reliability, Accuracy, Quality, Flexibility, Redeployment, Efficiency and other vital applications of Robotics in Pharmacy

Structural, Dielectric, Semiconducting and optical properties of High-Energy Ball Milled YFeO3 Nano-particles

In this work, we report the effects of calcination temperature on structural, dielectric, semiconducting and optical properties of YFeO3 nanoparticles prepared by a high energy ball milling process. The structural analysis of the X-ray diffraction data shows that YFeO3 exists in orthorhombic as well as in hexagonal mixed-phase states. The Rietveld analysis confirms that orthorhombic YFeO3 crystallizes into Pnma space group. The optical band gap of YFeO3 reduces from 1.96 eV to 1.68 eV with increasing the calcination temperature of the YFeO3 sample. The bandgap reducing effect might be attributed to the increased crystallite size and decreased lattice strain which is confirmed by the Williamson-Hall plot method. The obtained low bandgap YFeO3 ceramic may provide a new possibility to develop eco-friendly Ferroelectric photovoltaic devices

Monopole Cavity Resonator Antenna with AMC and Superstrate for 5G WiMAX Applications

For 5G and WiMAX applications, a coplanar waveguide (CPW)-fed monopole antenna sandwiched between an artificial magnetic conductor (AMC) and a superstrate is investigated. Because traditional planar antennas have low gains, they are unsuitable for a wide range of applications. This paper explores scientific strategies for increasing radiation gain in low-gain antennas such as planar monopoles. We use AMC in conjunction with superstrate to achieve a high gain antenna, with the monopole antenna serving as the primary radiator. However, a superstate like this demands the use of materials with high permittivity, and most of such materials are not readily available on the market. Even if such materials are available, they are mostly expensive and unsuitable for commercial systems. We investigate various superstrates and elaborate on which way these superstrates can be used interchangeably without compromising antenna performance. In the end, we fabricate one of these three superstrates. The antenna, which also employs AMC in tandem with the superstrate, has an impedance bandwidth ranging from 3.2 GHz to 3.75 GHz with 7 dBi gain, so it can be a viable candidate for 5G and WiMAX application

Recent Advances in Lossy Mode Resonance-Based Fiber Optic Sensors: A Review

Fiber optic sensors (FOSs) based on the lossy mode resonance (LMR) technique have gained substantial attention from the scientific community. The LMR technique displays several important features over the conventional surface plasmon resonance (SPR) phenomenon, for planning extremely sensitive FOSs. Unlike SPR, which mainly utilizes the thin film of metals, a wide range of materials such as conducting metal oxides and polymers support LMR. The past several years have witnessed a remarkable development in the field of LMR-based fiber optic sensors; through this review, we have tried to summarize the overall development of LMR-based fiber optic sensors. This review article not only provides the fundamental understanding and detailed explanation of LMR generation but also sheds light on the setup/configuration required to excite the lossy modes. Several geometries explored in the literature so far have also been addressed. In addition, this review includes a survey of the different materials capable of supporting lossy modes and explores new possible LMR supporting materials and their potential applications in sensing

ANTI MICRO-BIOLOGICAL ANALYSIS OF ARJUNARISTA

Arjunarista, an imperative Ayurvedic formulation used for treatment of cardiovascular disorders and prepared by fermenting the decoction of specified plant materials i.e. Arjuna twak (Terminalia arjuna), Draksha phala (Vitis vinifera), Madhuk puspa (Madhuka indica), Dhataki puspa (Woodfordia fruticosa) and Jaggery (Saccharum officinarum). Aim: To assess anti-microbial analysis of Arjunarista. Setting and Design: Arjunarista was prepared as per process of Shandhan kalpana mentioned in manuscripts of Ayurveda with consideration of two variations. These variations were at the level of pot like earthen pot and porcelain pot and addition/deletion of flowers of Dhataki (Woodfordia fruticosa (L.) Kurz). Methods and Materials: Micro-biological analysis was done for total bacterial count, total fungal count and specific pathogens. Total bacterial count, total fungal count was done via plate count agar method and potato dextrose agar respectively. Test for specific pathogens like E. coli, Salmonella sp., Staphylococcus aureus & Pseudomonas aeruginosa was done by Violet red bile agar, Salmonella Agar and Mueller Hinton Agar (for last two bacteria). Results: Total bacterial count (TBC) was absent in all batches except one sample of batch II and batch IV respectively. Total fungal count (TFC) was not present in all batches except one sample of batch I. Specific pathogens count were not present at all in any batches. Conclusion: Arjunarista showed anti micro-biological activity irrespective of variations taken in study

Cell Biology in Rheumatoid Arthritis

Rheumatoid arthritis (RA) is a systemic autoimmune disease, which affects about 0.33 to 2.65% of the population. In RA Synovium contain various type of immune cell. In which only one cell population cannot cause rheumatoid arthritis that requires more than one cell population. In normal condition, they act as a switch (active or inactive the cell signaling). It controls cell growth, proliferation or metastasizes. In an autoimmune disorder such as rheumatoid arthritis, the immune system mistakenly attacks and destroys the body's cells and tissues. Mostly cells are present in limited numbers in normal human synovium, but in rheumatoid arthritis and other inflammatory joint diseases, this population can expand to constitute 5-20% or more of all synovial cells. Recent investigations in a murine model have demonstrated that cells can have a critical role in the generation of inflammation within the joint. Keyword: Cell Biology in rheumatic arthritis; Dendrite cell; T-cell; Mast cell; Fibroblastic cell; Macrophages cell