GR-267 Churn Prediction

Employee churn is a situation where people leave the organization voluntarily or involuntarily. This has become a serious problem in recent times. We have also seen that attrition rates in several industries are going high. So, it is very much required to understand and analyze the reason behind attrition and why this is happening. We must conduct an analysis to know what the factors affecting employee churn are. It will create a huge impact on the organization if the attrition rate goes high. In order to resolve this issue, we are trying to take up this issue and find the best solution for this

BIO-ANALYTICAL METHOD DEVELOPMENT AND VALIDATION FOR THE SIMULTANEOUS ESTIMATION OF DECITABINE AND CEDAZURIDINE IN HUMAN PLASMA USING LC-MS/MS

Objective: The present work aimed to develop a novel, reliable and accurate Liquid Chromatography-Mass Spectrometry/Mass spectrometry (LC-MS/MS) method for the simultaneous quantification of Decitabine and Cedazuridine a combined medication used for the treatment of chronic myelomonocytic leukemia in human plasma. Methods: Talazoparib drug is used as an internal standard in the study. Both the analytes and internal standard were isolated from 100 ml plasma samples by liquid-liquid extraction and then chromatographed on Zorbax SB-CN (4.6 mm×75 mm, 3.5 µm) column with a mobile phase consisting of 0.1 % ammonium formate and methanol in the ratio of 65:45 (v/v) pumped at 0.5 ml/min. The method had a chromatographic total run time of 5 min. Results: The developed method gave a symmetric peak at a retention time of 1.7 min for Decitabine, 2.2 min for Cedazuridine, 3.5 min for Talazoparib and satisfied all the peak properties as per USP guidelines. The mass spectral characterization of separated analytes in the LC method was performed using a mass detector operated at Multiple Reaction Monitoring mode with precursor-to-product ion transitions at m/z of 229 to m/z of 114 as MH+ion for Decitabine, m/z of 269 to m/z of 118 as MH+ion for Cedazuridine. A very sensitive limit of detection of 0.3 ng/ml was observed and showed a calibration curve linear over the concentration range of LLOQ (lower limit of quantification) to 500 ng/ml. The other validation parameters were found to have acceptable accuracy, precision, linearity, and selectivity. The mean extraction concentration was acceptable and very high for both the analytes in HQC (high-quality control concentration), MQC (medium quality control concentration) and LLOQ levels. The peak area response ratio of Decitabine and Cedazuridine with the internal standard in freeze-thaw, short term and long term stability studies was found to be acceptable confirms that the method is stable. Conclusion: It can be concluded that the proposed method is specific, accurate, and precise and could be used for the simultaneous estimation of Decitabine and Cedazuridine in human plasma

DEVELOPMENT AND VALIDATION OF ZERO AND FIRST ORDER SPECTROPHOTOMETRIC METHOD FOR DETERMINATION OF OPIPRAMOL IN BULK AND PHARMACEUTICAL DOSAGE FORM

Objective: Two simple, precise and accurate zero and first order spectrophotometric methods were developed and validated for the quantification of opipramol in bulk and tablet dosage form.Methods: The quantitative analysis of the drug was carried out using the zero order and first order derivative values were measured at 254 nm and 266 nm respectively. The estimation of the drug was carried out by regression equations with the standard solution.Results: Calibration graph was found to be linear r2 = 0.996 for zero order and r2 = 0.998 for first order derivative over the concentration range of 2-10 µg/ml. Precise (intra-day relative standard deviation [RSD] and inter-day RSD values < 1.0%), accurate (mean recovery = 100.77 %), specific and robust. No obstruction was observed from general pharmaceutical adjutants.Conclusion: The developed derivative methods can be utilized in its routine analysis opipramol in quality control division.Â

SystemsGenetics/KINC.R v1.2

Added a new function for detecting phased edges. Also fixed a bug where ranks for edges were returned as strings instead of numeric values

Enhancing Online Security: A Random Forest Classifier Approach to Payment Fraud Detection

<p>The rise of the internet and e-commerce appears to entail the usage of online payment transactions. The increased usage of online payments is leading to a rise in fraud. However, as the number of online transactions increases, so does the number of fraud instances. Fraud detection is an important component of online payment systems since it serves to protect both customers and merchants from financial damages. In this project, we propose a fraud detection system for online payments that uses machine learning techniques to identify and prevent fraudulent transactions. Using machine learning algorithms, we can find unique data patterns or uncommon data patterns that will be useful in detecting any fraudulent transactions. The Random Forest Classifier will be utilized to get the best results. Our approach strives to improve fraud detection accuracy while reducing the amount of false positives, resulting in a more efficient and effective method for identifying and combating fraud.</p><p>Keywords: Fraud Detection, Machine Learning, Random  Forest Algorithm, SVM, Classification, Data Pre- Processing, Prediction.</p&gt

Improving the Mechanical Properties of AISI 2205 Duplex Stainless Steel by Cryogenic Treatment Process

The Duplex stainless steel AISI 2205 is well known for its corrosion resistance, applicable to high pitting and stress resistance. Cryogenic treatment is chosen to boost the mechanical properties of AISI 2205 Stainless Steel. The specimens undergo cryogenic treatment, one of them being treated to the saturated limit. For comparison purpose, one specimen is kept as untreated. Wear test will be conducted at a constant speed and variable load by a pin on disc wear testing apparatus. Wear test is completed to assess the capability of utilizing a specific surface building innovation to diminish wear for a particular application and to research the impact of treatment conditions on the wear execution, so upgraded surface treatment conditions can be figured it out. Eventually, all specimens were undergone with Scanning Electron Microscope analysis

Understanding the negative temperature coefficient phenomenon in methane-air mixtures at high pressures

Design and operation of advanced reactors such as fuel reformers require reliable micro-kinetic models that capture the dynamics of the reaction. The negative temperature coefficient phenomenon causes a reduction in mixture temperature for increasing inlet temperatures. However, micro-kinetic models available in the literature have not been critically evaluated for their ability to capture this phenomenon. Consequently, the ability to predict system behavior for particular application situations, such as in the presence of certain diluents or at high pressures, is largely missing. In this work, we adapt multiple reaction mechanisms from literature and compare them for methane oxidation over a wide range of pressures and temperatures. Using reaction path analysis and sensitivity analysis, we find that the C2 formation through the recombination pathway is chiefly responsible for negative temperature coefficient behavior. With this insight, the dependence of steam addition and pressure on is also discussed.by Anand Parejiya, Manjeet Chaudhary, Sai Mani Prudhvi Valleti, Marm Dixit, Atul Bhargav and Suman Roy Choudhur