Antimicrobial Activity of Fuller’s Earth, Turmeric, and Sandalwood against Streptococcus Mutans, Micrococci and Coagulase Negative Staphylococci -an In vitro Study

Introduction: Sandalwood powder (Santalum alba) is used if the skin is oily for removing dark spots on the skin. Sandalwood has an anti-tanning and anti-aging property. Turmeric powder (Curcuma longa) is mainly used to rejuvenate the skin. It helps to delay aging like wrinkles and also possesses other properties like antibacterial, antiseptic, and anti-inflammatory, and many other properties. Multani mitti helps the skin in many different ways like the reduction of pore size pore sizes, removing blackheads and removing whiteheads fading freckles, soothing sunburns, cleansing skin, improving blood circulation, complexion, reducing acne and blemishes, and gives a glowing effect to your skin as they contain many-particles which can inhibit various organisms. Materials and Methods: In this investigation, the antimicrobial viability of Turmeric, sandalwood and Multani Mutti was tested against Streptococcus mutans, Micrococci, and coagulase-negative staphylococcus. The microorganisms were filled in strong media, and culture containing stock suspensions was made and, in this way, standard strains of Streptococcus mutans, Micrococci, and Coagulase-negative staphylococci were obtained. Microorganisms were subcultured in fitting society media to affirm their virtue. Results: The zone of inhibition of turmeric against Streptococcus mutans is about 11mm. The zone of inhibition of turmeric against Micrococci is about 9 mm. The zone of inhibition of turmeric against Coagulase-negative staphylococci is about 13mm. There was no zone of inhibition for both sandalwood and Multani mitti for Coagulase-negative staphylococci, Streptococcus mutans, and Micrococci. Conclusion: The study proves the turmeric has antimicrobial potential against Coagulase-negative staphylococci, Streptococcus mutans,, and Micrococci with good prospects of development into antimicrobial face pack or face wash

Hearing the shape of a drum for light: isospectrality in photonics

The independent tailoring of wave quantities lays the foundation for controlling wave phenomena and designing wave devices. The concept of isospectrality, which suggests the existence of systems that provide identical spectra, has inspired a novel route to the spectrum-preserved engineering of wave–matter interactions in photonics, acoustics, and quantum mechanics. Recently, in photonics, constructing isospectral optical structures has become an emerging research topic to handle the intricate spectral responses of the systems composed of many-particles or inhomogeneous materials. The cornerstones in this field have stimulated the realization of non-Hermitian systems with real eigenspectra, one-dimensional structures exhibiting higher-dimensional physics, and novel engineering methodologies for broadband devices such as phase-matched multiplexers and multimodal lasing platforms. Here we review recent achievements based on isospectrality in photonics. We outline milestones in two different subfields of supersymmetric photonics and interdimensional isospectrality. We illustrate that isospectrality has paved the way for the independent control of wave quantities, showing great potential for the analytical and platform-transparent design of photonic systems with complex structures and materials.

In-House Software Development for Data Visualization of Random Motion Configuration of Particles in Fluid

This study aims to develop in-house software for data visualization program using Python programming language. Implement a simple algorithm and use the matplotlib library for 2D plotting. The results of development of this program were tested using a dataset from random motion simulation results of many particles modeled by two-dimensional circle shape and the diameter size as D. Data visualization in the form of particles configuration then confirmed with the particles configuration of the simulation results. Based on the test, it is found that the particles configuration results of the visualization are same as the configuration of the simulated particles. This shows that the data visualization program that has been developed can be used to process other data stored in a predetermined data format.

In-House Software Development for Data Visualization of Random Motion Configuration of Particles in Fluid

This study aims to develop in-house software for data visualization program using Python programming language. Implement a simple algorithm and use the matplotlib library for 2D plotting. The results of development of this program were tested using a dataset from random motion simulation results of many particles modeled by two-dimensional circle shape and the diameter size as D. Data visualization in the form of particles configuration then confirmed with the particles configuration of the simulation results. Based on the test, it is found that the particles configuration results of the visualization are same as the configuration of the simulated particles. This shows that the data visualization program that has been developed can be used to process other data stored in a predetermined data format.

CALCULATION OF FLOWS IN AN ACCELERATOR OF ELEMENTARY PARTICLES

The Schrödinger and Klein-Gordon equations have a finite velocity solution using the Navier-Stokes equation. But the Dirac equation did not lend itself to solving with the help of a finite formula for an arbitrary vector and scalar potential. Finally, the transition from the derivative of the function to the derivative of the logarithm of the function worked. Then we managed to solve a linear equation with respect to the derivative of the logarithm of the function, which can be integrated. Moreover, it turned out that it is possible to describe many particles. At accelerators, the trajectories of particles with an error are described, i.e. complex trajectories. In this article, the task is to calculate the accelerator in the complex plane, where the imaginary part is the error of the mean — the real part.

Comparison of two model reduction approaches of an industrial drying process

Dynamic models have proven to be helpful for determining the residual water content in combustible biomass. However, these models often require partial differential equations, which render simulations impracticable when several thousand particles need to be considered, such as in the drying of wood chips. Reduced-order models help to overcome this problem. We compare proper orthogonal decomposition (POD) based to balanced truncation based reduced-order models. Both reduced models are lean enough for an application to systems with many particles, but the model based on balanced truncation shows more accurate results.

Integrable bootstrap for AdS3/CFT2 correlation functions

We propose an integrable bootstrap framework for the computation of correlation functions for superstrings in AdS3 × S3 × T4 backgrounds supported by an arbitrary mixture or Ramond-Ramond and Neveu-Schwarz-Neveu-Schwarz fluxes. The framework extends the “hexagon tessellation” approach which was originally proposed for AdS5 × S5 and for the first time it demonstrates its applicability to other (less supersymmetric) setups. We work out the hexagon form factor for two-particle states, including its dressing factors which follow from those of the spectral problem, and we show that it satisfies non-trivial consistency conditions. We propose a bootstrap principle, slightly different from that of AdS5 × S5, which allows to extend the form factor to arbitrarily many particles. Finally, we compare its predictions with some correlation functions of protected operators. Possible applications of this construction include the study of wrapping corrections, of higher-point correlation functions, and of non-planar corrections.

The distribution and effects of microbeads on host-parasite interactions of Ontario wetland fauna: tadpoles, snails and trematodes

Plastic microbeads pose an environmental problem as they easily enter into waterbodies, take a long time to break down, and their ingestion can have negative effects on aquatic organisms. I found that microbead consumption had a significant negative effect on the growth of northern leopard frog (Lithobates pipiens) tadpoles, as well as their susceptibility to trematode parasite (Echinostoma trivolvis) infection, but minimal effects on leukocyte profiles and infection tolerance. Freshwater snails (Stagnicola elodes) given microbead diets exhibited a non-monotonic response in their production of trematode (Haematolechus parviplexus) infectious stages, with those in the highest microbead treatment tending to exhibit greater growth and shorter longevity. I also found that algae (Chlorella pyrenoidosa) and microbeads created density-dependent aggregations that could be a potential ingestion pathway for herbivorous fauna. Lastly, I found many particles in Ontario wetlands and ponds that may be used for controlled pesticide release, thus potentially posing a threat.

The distribution and effects of microbeads on host-parasite interactions of Ontario wetland fauna: tadpoles, snails and trematodes

Plastic microbeads pose an environmental problem as they easily enter into waterbodies, take a long time to break down, and their ingestion can have negative effects on aquatic organisms. I found that microbead consumption had a significant negative effect on the growth of northern leopard frog (Lithobates pipiens) tadpoles, as well as their susceptibility to trematode parasite (Echinostoma trivolvis) infection, but minimal effects on leukocyte profiles and infection tolerance. Freshwater snails (Stagnicola elodes) given microbead diets exhibited a non-monotonic response in their production of trematode (Haematolechus parviplexus) infectious stages, with those in the highest microbead treatment tending to exhibit greater growth and shorter longevity. I also found that algae (Chlorella pyrenoidosa) and microbeads created density-dependent aggregations that could be a potential ingestion pathway for herbivorous fauna. Lastly, I found many particles in Ontario wetlands and ponds that may be used for controlled pesticide release, thus potentially posing a threat.

How many particles make up a chaotic many-body quantum system?

We numerically investigate the minimum number of interacting particles, which is required for the onset of strong chaos in quantum systems on a one-dimensional lattice with short-range and long-range interactions. We consider multiple system sizes which are at least three times larger than the number of particles and find that robust signatures of quantum chaos emerge for as few as 4 particles in the case of short-range interactions and as few as 3 particles for long-range interactions, and without any apparent dependence on the size of the system.