Shear Force Fiber Spinning: Process Parameter and Polymer Solution Property Considerations

For application of polymer nanofibers (e.g., sensors, and scaffolds to study cell behavior) it is important to control the spatial orientation of the fibers. We compare the ability to align and pattern fibers using shear force fiber spinning, i.e. contacting a drop of polymer solution with a rotating collector to mechanically draw a fiber, with electrospinning onto a rotating drum. Using polystyrene as a model system, we observe that the fiber spacing using shear force fiber spinning was more uniform than electrospinning with the rotating drum with relative standard deviations of 18% and 39%, respectively. Importantly, the approaches are complementary as the fiber spacing achieved using electrospinning with the rotating drum was ~10 microns while fiber spacing achieved using shear force fiber spinning was ~250 microns. To expand to additional polymer systems, we use polymer entanglement and capillary number. Solution properties that favor large capillary numbers (\u3e50) prevent droplet breakup to facilitate fiber formation. Draw-down ratio was useful for determining appropriate process conditions (flow rate, rotational speed of the collector) to achieve continuous formation of fibers. These rules of thumb for considering the polymer solution properties and process parameters are expected to expand use of this platform for creating hierarchical structures of multiple fiber layers for cell scaffolds and additional applications

A Novel Method of Fraud Detection of Credit Cards by Fuzzy, LSTM, and PSO Optimization

Since online shopping has become so popular, credit card theft has skyrocketed. This makes it hard to spot fake charges on accounts. In this research, credit card fraud detection is performed using a fuzzy database. It has been considered a data mining challenge to reliably identify whether or not a transaction is legitimate. This paper discusses the LSTM method and fuzzy logic. The learning process was sped up and made more precise by using a technique called particle swarm optimization (PSO). Performance values have been compared with those of the LSTM and fuzzy logic techniques, and a PSO-based neural network has been intensively trained by increasing the number of iterations and the population, or number of swarms. It has been shown that the PSO-based algorithm yields the best result for detecting fraudulent transactions. The goal of this method is to lower the mean square error (MSE) rate of the system. PSO is a popular optimization technique that can be used to locate the optimal set of features for the credit card fraud detection system. The proposed method PSO shows less mean squared error compared with Fuzzy and LSTM techniques

Studies on clinical anatomy of the maxillofacial and mandibular regions of the Madras Red sheep (Ovis aries) in India

Background: The present study aimed to study the clinical anatomy of the maxillofacial and mandibular regions of the Madras Red sheep through the morphometric analysis of some clinically important parameters pertaining to the regional anaesthesia.  Materials and methods: The study was conducted in 20 male and 20 female adult Madras Red sheep around 20–25 kg body weight. Eleven parameters re- lated to the clinical regional anaesthesia of the maxillofacial and the mandibular regions were recorded.  Results: The distance between the facial tuberosity to the infraorbital canal was 2.25 ± 0.14 cm in males and 2.14 ± 0.15 cm in females. The distance from the infraorbital canal to the root of the alveolar tooth was 1.73 ± 0.28 cm in males and 1.73 ± 0.13 cm in females. The length and height of the mandibles were 15.37 ± 0.56 cm, 9.00 ± 0.24 cm and in males 14.53 ± 0.24 cm, 9.68 ± 0.16 cm in females, respectively. The maximum height of the mandible to the coro- noid process, width or height of the mandibular foramen and the distance from the condyloid process to the base of the mandible were recorded as 9.0 ± 24, 0.82 ± 0.05, 6.68 ± 0.19 cm in males and 9.68 ± 0.16, 0.83 ± 0.04, 6.25 ± ± 0.28 cm in females, respectively.  Conclusions: The present study revealed that most of the parameters showed statistically significant difference between the sexes i.e. the males had higher values. However, from the practical point of view, these differences were meagre. The results were discussed with regard to their clinical applications in various regional anaesthesia performed in maxillofacial and mandibular regions of the Madras Red sheep.

Authenticated web management system

In an era where web development is taking priority over other areas of development, the management of web based resources is still done in old ways, i.e., by closing the site down and making changes and uploading the changes back to the web server. There is a need for a more versatile management of the resource wherein the changes can be done to the content over the site from its original location over the web server. This project is based on an application that provides extended support for maintenance of the web management from its hosted environment. Web Manager is an ASP.NET Server Web Management System. The application is controlled by two users based upon the access levels allotted to them. The admin user can do every task with the application. Every user is specified with a minimum of one home directory (The application on which the person has the privilege to work with). Using Web Manager, only the sites which are authorized to a user can be managed. The web pages, pages related content can be newly created as well as modifications can be done on the existing documents, which will reflect a change on the outlook of the site. A single user can have authority to manage number of sites but only the site which is set as a home directory can be managed at a given moment of time. It also provides the features of uploading and downloading the files needed for management

EMUSIC USING SUPPORT VECTOR MACHINE LEARNING ALGORITHM

The emotion or mood of a user can be detected by their facial expressions. Those expressions can be extracted from the live feed through the system’s camera. Machine learning provides various techniques, one of which is detection of facial expression. It connects us across markets, aeons, backgrounds, dialects, political views, and financial status. Nowadays, music applications and other streaming services are of high demand and are sought by many people not restricted to ages as there are a remarkable and rapid evolution of multimedia, digital music, and cellular networks. Most of the people use music for their mood regulation, increase energy level, and more specifically to change their unpleasant mood or reduce tension. In addition to it, by tuning in to the right type of music at the apparent time may refine your mental health. Thus, human emotions or mood have a intense bond with music. Here, in this project, we propose an efficient solution to meet the people needs in music by live feed and Support Vector Machine learning algorithms

On possible wormhole solutions supported by non-commutative geometry within f(R,Lm)f(R, L_m) gravity

Non-commutativity is a key feature of spacetime geometry. The current article explores the traversable wormhole solutions in the framework of $f(R,L_m)$ gravity within non-commutative geometry. By using the Gaussian and Lorentzian distributions, we construct tideless wormholes for the nonlinear $f(R,L_m)$ model $f(R,L_m)=\dfrac{R}{2}+L_m^\alpha$. For both cases, we derive shape functions and discuss the required different properties with satisfying behavior. For the required wormhole properties, we develop some new constraints. The influence of the involved model parameter on energy conditions is analyzed graphically which provides a discussion about the nature of exotic matter. Further, we check the physical behavior regarding the stability of wormhole solutions through the TOV equation. An interesting feature regarding the stability of the obtained solutions via the speed of sound parameters within the scope of average pressure is discussed. Finally, we conclude our results.Comment: AOP accepted versio

Wormhole Geometry and Three-Dimensional Embedding in Extended Symmetric Teleparallel Gravity

In the present manuscript, we study traversable wormhole solutions in the background of extended symmetric teleparallel gravity with matter coupling. With the anisotropic matter distribution we probe the wormhole geometry for two different gravity models. Primarily, we consider the linear model $f(Q,T) =Q + 2 \, \xi \,T$. Firstly, we presume a logarithmic form of shape function and analyze the scenario for different redshift functions. Secondly, for a specific form of energy density, we derive a shape function and note its satisfying behavior. Next, for the non-linear model $f(Q,T) = Q + \alpha ,Q^2 + \beta ,T$ and a specific shape function we examine the wormhole solution. Further, with the aid of embedding diagrams, we interpreted the geometry of wormhole models. Finally, we conclude results.Comment: New Astronomy published versio

Examining the Impact of Wealth Redistribution through Zakat

As society considers it, it is scattered with distinct differences. If we highlight this issue, this gap is due to economic instability. Religion never differs between the rich and the poor, but the people who follow the religion will do, so as the fundamental thoughts, religion itself guides on the matter of removing the imbalance in religion in particular and society at large, for which we can find the taxing system in India. At the same time, Islam also proposes the idea of zakat to remove the gap between those who have and those who do not. To examine the idea of which the study was conducted by considering the Karnataka Zakat Trust of Mangaluru City of Karnataka state, as it is a donation that people are making out of their wealth. The information was gathered using a structured interview method, and for the remaining randomly selected 75 samples mail questionnaire was distributed, out of which 62 respondents responded to the study, so the total respondents of the study were 87 beneficiaries of Mangaluru City. This study shows that in the potential and globally recognized Mangaluru City, zakat is working effectively through Karnataka Zakat and Charitable Trust. Here, it is also proposed to claim the rebate for the relief of Islamic followers to make a difference in the country’s policy

PHYLOGENETIC ANALYSIS OF COLD SHOCK PROTEINS IN PSEUDOMONAS SPECIES

Objective: The present study focuses on the determination of the relativity of the different types of cold shock proteins.Methods: Our study was to determine the relationship among the types of CSPs. Three different strains of pseudomonas genus, Pseudomonas fluorescens, Pseudomonas aeruginosa and Pseudomonas putida were chosen and molecular profiling was performed. The sequences thus obtained were subjected to multiple sequence analysis in ClustalW database. The molecular evolution and phylogenetic study have been carried out using phylodraw.Results: The phylogenetic analysis has clearly revealed the evolutionary pattern of cold shock proteins in pseudomonas species and the current stress of mutation among the strains.Conclusion: Phylogenetic analysis of cold shock proteins has clearly shown that important conserved sequences can be very useful to study the phylogeny of bacteria