Volume 6 | Issue 4 | October-November-December-2018

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Context: One of the leading causes of death in India is severe hepatic dysfunction. The primary goal of this study is to determine whether the polyherbal combination of chosen fruit peel extracts and hepatoprotective efficacy. Environment and Design: 1. With CCl4, induce hepatotoxicity 2. Investigation of the PHM and hepatoprotective properties of certain peel extracts. 3 Calculating different enzymes to determine liver function. Materials and Procedures After inducing hepatotoxicity, male Wistar albino rats (180-200 g) were separated into 12 groups and treated with PHM and specific extracts. Blood and liver samples were then taken and analysed on the 14th day. The experimental findings were reported as the mean of the statistical analysis (SEM). ANOVA was applied to the data where appropriate.Results and Discussion: All the selected plant extracts and PHM shown to prevent the leakage of SGOT, SGPT, and ALP in CCl4 induced hepatotoxicity. The order of potency was PHM>APMP>APCM>APMI>APAC. The APMP was the better hepatoprotective among the selected plant extracts. The activities might be due to the conditioning of hepatocytes by protecting the integrity of the membrane from CCl4 induced leakage of serum markers into circulation. All the selected plant extracts and PHM shown to revert back the SOD, CAT and GSH to the normal values in CCl4 induced rats in a dose dependent manner in liver homogenates.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Fruit peels, Hepatoprotective effects, hepatotoxicity, poly herbal mixture, non enzymatic antioxidants.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

HR analytics, often known as people analytics, is the methodical application of analytical methodologies to human resources (HR) data. Estimating turnover, locating knowledge and skills inside a company, and forecasting job performance are common issues in HR analytics. Instead than only employing key performance indicators, HR analytics is an area of significant interest. This is because the amount, velocity, and diversity of HR data are all quickly increasing as a result of the digitalization of work processes. Steel cabinets were used to store personnel files. It is now kept in the business systems together with information from emails, process data, employee satisfaction surveys, and the hiring process. The ethics of human resource analysis need to be discussed as it becomes more common. The purpose of this paper is to discuss the ethical implications of applying sophisticated analytical methods to human resource management problems.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Big data, company, Ethical dilemmas, HR Analytics, Human resource management

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The current study makes an effort to explain how Indian customers feel about insurance services. Due to the availability of broad knowledge about insurance, consumers are now impacted by numerous insurance kinds, including health insurance, vehicle insurance, property insurance, and travel insurance. People are increasingly choosing to invest in these types of insurance, which aids con artists in defrauding victims. Insurance fraud is banned, whether it comes from the customer or the insurance provider. Client-side insurance fraud might take the shape of postponed policies, overstated claims, and other issues. However, insurance vendor fraud is seen in the form of policies from fictitious firms and inability to pay premiums, and as a result. In this paper, we perform a comparative analysis on various classification algorithms

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

India, attitude, demography, insurance services, marketing activities.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The goal of our study, which is summarized in this article, is to create a machine learning model that can determine if reviews in Yelp's dataset are authentic or not. To determine which machine learning categorization approach would produce the best results, we specifically applied and contrasted them. To make it easier to understand why some approaches are preferable to others in specific situations, brief explanations are provided for each of the categorization strategies. The SVM classification algorithm produced the best result, with an F-1 score of 0.91 in the forecast

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Classification, regression, svm, navie bayes, logestic regression, supervised learning

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

SA213 T12, HVOF, SEM/EDX, Porosity etc

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Real photographs frequently contain complex blur, such as the combination of space-variant and space-invariant blur, which is challenging to mathematically represent. In this work, we provide a cutting-edge blur kernel-free picture deblurring technique. We use two photographs, one fuzzy with low shutter speed and low ISO noise, and the other noisy with fast shutter speed and high ISO noise, both of which may be easily obtained in low-light conditions. By dividing the blurred picture into patches, we can use the corresponding patches in the noisy image to extend the Gaussian mixture model (GMM) and describe the underlying intensity distribution of each patch. Utilizing an analysis of the optical flow between the two pictures, we generate patch correspondences. The Expectation Maximization (EM) algorithm is utilized to estimate the parameters of GMM. To preserve sharp features, we add an additional bilateral term to the objective function in the M-step. We eventually add a detail layer to the deblurred image for refinement. Extensive experiments on both synthetic and real-world data demonstrate that our method outperforms state-of-the terms of robustness, visual quality, and quantitative metrics.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Image deblurring, optical flow, gaussian mixture model(GMM)

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

There is an increasing trend to use products manufactured from the Carbon Fiber Reinforced Plastics or Carbon Fiber Reinforced Polymer (CFRP) composites in the industry like aerospace, automotive, sports, medical, renewable energy etc. It is because of the lighter weight, higher strength, hence, higher strength-to-weight ratio of these materials, their higher corrosion resistance, higher fatigue resistance etc. Manufacturing of products from CFRP composites need precise machining, including cutting. Cutting of these materials is very difficult and inefficient with non-laser traditional techniques. Using continuous wave (cw) or pulsed fiber lasers solves many of these limitations of cutting CFRP composites. These processes have been optimized by many researchers for reducing the heat affected zones (HAZ) by optimizing the laser parameters like its power, pulse duration, feeding speed etc. Finally the environmental hazards of laser-based cutting of CFRP composites and the safety measures are also discussed in this paper.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Laser cutting, CFRP composites, Carbon Fiber Reinforced Plastics, Polymers.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The development of MEMS has been driven by the need for miniaturization and lowering the overall manufacturing cost. The field of MEMS is concerned with the development of integrated systems of sensors, actuators and associated electronics. Even though the electronics industry provides an economy of scale for the silicon industry, crystalline silicon is still a complex and relatively expensive material to produce. The development of polymer micromachining technologies that complement traditional silicon approaches has enabled the broadening of microelectromechanical systems (MEMS) applications. Polymeric Bio-MEMS (Biomedical Micro-Electro-Mechanical Systems) have great potential in their current and future applications which include genomics, proteomics, molecular diagnostics, point-of-care diagnostics, tissue engineering, single cell analysis and implantable micro-devices. The polymeric materials are very fragile and not rigid which restrict their manufacturing processes. To minimize many such problems, excimer lasers and femtosecond lasers have been used for the precise micromachining of Bio-MEMS, the details of which are discussed in this paper.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

excimer laser, femtosecond laser, micromachining, polymers, MEMS, Bio-MEMS

  License

Creative Commons Attribution 4.0 and The Open Definition