In the present study corrosion inhibition studies of electropolymerised 2,4-Diamino-6-Phenyl-1,3,5-Triazine(DAPTA) has been investigated on aluminium in 3.5% NaCl solution. DAPTA was electropolymerised on aluminium surface and the it was found that a naofilm of the poly2,4-Diamino-6-Phenyl-1,3,5-Triazine(PDAPTA )was deposited on the aluminium surface. The nanofilm was characterised by IR spectroscopy. The electrochemical studies carried out -OCP and Potentiodynamic Polaraisation showed remarkable corrosion inhibition property of the polymeric nanofilm. The DFT studies for the molecule have been carried out and the results supports the inhibition property of the monomer.

This research study is intended to investigate effect of demographic variable age between Promotional Benefit, Trust and Perceived Security and its moderating effect on mobile wallet usage. The research design followed in the study, is descriptive based on primary data collected from 250 respondents.The respondents are chosen on Purposive sampling method. Andrew F. Hayes Process has been followed to examine the moderating effect independent variable on mobile wallet adoption.This research findings elucidate that the effect of demographic variable age has statistical significant moderating effect between independent variables and mobile . Andrew F. Hayes process results elucidate that age collection doesn't have a significant effect on dependent variables Perceived Security, Promotional Benefits and Trust while the age collection and it�s has a significant impact on dependent variables.

A large number of the computational model has developed to study the communications of the information through the synaptic interaction between neurons and astrocytes. The mechanism of the signalling process by astrocytes and other cells are triggered in the computational models with normal conditions and also during neurodegenerative processes. The computational models based on the interaction have shown calcium dynamics, synchronization, information transfer, and also in vascular events, hyper excitability, and homeostasis. The tripartite synapse denotes the junction of a pre- and postsynaptic neuron modulated by a synaptic astrocyte. Astrocytes are not only regulated neuronal transmission by integrating and process synaptic information but also a part of many functions like the physical structure of the brain, glucose buffer, metabolic support, blood-brain barrier, transmitter uptake, and release, regulation of ion concentration in the extracellular space, modulation of synaptic transmission. In order to understand calcium dynamics in the brain physiology here we incorporate mitochondria with neuron-astrocyte synapse model.

The present research article deals with design and development of a user friendly soft computing model to solve real-life problems related with Medical sciences with specific reference to cardiac problem. In order to achieve the aim we made fusion of Saaty's pair wise comparison matrices and fuzzy relational equations.

Pneumonia is a lung infection that can be caused by different types of microorganisms, including bacteria, viruses, and fungi. It is characterized primarily by inflammation of the alveoli in the lungs or by alveoli that are filled with fluid. The conventional method for diagnosing this disease is through Chest X-Ray. This article is an attempt to trace the severity of the infection. The work in this article is divided into two parts. In the first part, the X-Ray Image is preprocessed and then undergoes colorization process. In the second part, the image is segmented and the infected features alone are extracted. This image undergoes supervised learning method to classify the severity of the infection. The colorized X-Ray image gives a better accuracy about the severity than the ordinary gray scale X-Ray image. From the numerical results, with a sample image, the colored X-Ray image detection accuracy is measured as 69 %. But whereas, for the same sample image, the gray scale X-Ray image detection showed only 56.79 %.

The COVID-19 pandemic put a full stop worldwide and brought our lives into an unpredictable situation. All countries started closing their boundaries, and everyone got stuck at home for months of self-quarantined. All industries began to sink, and the tourism industry is one of the most affected industries because of travel restrictions. However, today, as the globe is opening and the tourism industry is slowly getting back on its feet. Therefore, to plan the itinerary with the new normal conditions in the post-COVID-19 world, we have suggested an itinerary planning destination ranking tourism analytics system based on various tourists' interests in the world-famous tourist destination Varanasi, India. The rankings evaluated by the designed system have been investigated with sensitivity analysis to check the ranking system's robustness.

hCAs IX and XII are used as markers of the disease progression in many hypoxic tumours and their targeted inhibition is associated with significant reduction of the growth of both primary tumours and metastases. Ligand �based quantitative structure-activity relationship (QSAR) studies were performed on aromatic, curcumin based, sulphonamide derivatives as potential inhibitors of human trans-membrane carbonic anhydrase isozyme, hCA IX by comparative molecular field similarity analysis (CoMSIA) implemented through the SYBYL package. The predictive ability of the model was assessed using test set of three compounds. The best model demonstrated a good fit having r2 value of 0.811 and cross validated coefficient q2 value of 0.617 in tripos CoMSIA Hydrophobic region. Our results indicate that Hydrophobic region factors play a significant role in hCA IX inhibition for investigated compounds.

In this paper, it is proved that every Context-Sensitive Language can be generated by String-Token Petri Net(STPN). Also, some of the closure properties of Context-Sensitive Languages(CSL) generated by STPN are derived.