A 12 week prospective clinical evidence of empagliflozin efficacy in uncontrolled type 2 diabetes mellitus treated with metformin and a sulfonylurea

Background: The main aim of the study is to evaluate the efficacy of empagliflozin 10 mg once daily over 12 weeks as add-on therapy to metformin plus sulfonylurea in patients with type 2 diabetes mellitus with inadequate glycemic control.Methods: It is a prospective, observational, study conducted in patients of Sri Badhrakali Diabetic Center located in Warangal, Telangana, India. The efficacy of empagliflozin 10 mg was assessed by measuring the change in the glycated hemoglobin (HbA1c), fasting plasma glucose (FPG), body mass index (BMI) at the baseline and 12 weeks, systolic blood pressure (SBP) and diastolic blood pressure (DBP) at the baseline and after 24 hours of treatment.Results: In the present study, the addition of empagliflozin to metformin and Sulfonylurea therapy for 12 weeks provided 0.87 % reduction in HbA1c. The mean changes of FPG from baseline to 12-week is -26 mg/dl. At 24 hours empagliflozin significantly reduced blood pressure with mean changes of SBP and DBP -4.147 and -1.526 mmHg respectively. The mean changes in BMI from baseline to week 12 is -0.638 kg/m2.Conclusions: Empagliflozin 10 mg provided ancillary reduction in HbA1c outside of metformin and sulfonylurea. Controlled body weight, HbA1c, blood pressure decreases diabetes progression, decreased risk of diabetic complications and reduced risk for cardiovascular disorders

An Experiential Study of SVM and Naïve Bayes for Gender Recognization

Classification and regression are the important aspects of data mining. Data mining is the systematic procedure of extracting useful data from large datasets. Naïve Bayes and SVMs are useful for classification and regression. The naïve Bayes classifier is a typical generative classifier .while The SVM classifier is a typical Discriminative classifier .The naive Bayesian (NB) classifier is one of the simple yet powerful classification methods. It is considered as one of the most effectual and significant learning algorithms for machine learning and data mining and also has been treated as a core technique in information retrieval. Support Vector Machines (SVM) are supervised learning models with associated learning algorithm that analyses data and recognize patterns, used for classification and regression analysis. Here we attempt to analyze the performance both algorithms i.e. Naïve Bayes and SVMs through the development of useful application. With the accuracy of developed application this will going to estimate the performance. This paper presents the novel idea towards the classification of the naive bayes and SVMs algorithm by analyzing the human characteristics for the sake of their gender identification

Review Paper on Smart Security System

These days, CCTV cameras are a boon to many agencies in order to keep them safe and keep an eye on any sort of malpractices. But they largely require manpower in cases of live streaming. Hence, to reduce manpower and to assure efficiency a smarter system with the camera is required. A smart security system has a lot of uses these days in order to detect any sort of malfunctioning in the companies, detecting hazards in work places, homes etc. or to control any sorts of misconducts. This review paper contains the reviews of existing applications of such cameras for detecting an intruder in the house and smoke in case of fire. The other applications involve using such system in order to detect vehicles and count them to see if they reach the traffic congestion rate. They have also been used for indoor parking purposes using an MAV (Micro Air Vehicle) to detect if a parking spot is available for a car and also find the car for a driver in case he forgets where he has parked it. The paper has also laid a proposal of such system using Raspberry Pi as to show how various conditions can be programmed into that camera in order to deal with the malpractices and misconducts happening in various workplaces and organizations today and why it will be more useful to do so

Design Paper on Petrol Pump Theft Security System

Automobiles have become an integral part of modern life. The increase in the number of vehicles has led to the rise in the consumption of petroleum fuel and the cheating happening in this business. There are numerous ways in which the consumer can be cheated, and this kind of fraud can harm the consumer as well as the company's reputation. So, there is a need for a system that can reduce such type of malpractices and give the right to the customers to check if they are being cheated or not. The system in which not the operator at dispenser nor the manager of respective petrol pump but the customer has the power to check whether he or she has been wronged or not. The CCTV camera surveillance provides a way to monitor any place 24x7 but it requires manpower to scan the footages captured by the camera, and there is a possibility that such malpractices can remain uncaught in this type of monitoring. So, there is a need for a smarter system at such places which aims at identifying all such malpractices and which do not depend on manpower for their identification. This design paper gives the design of a security system at a petrol pump which can overcome almost all malpractices that can happen in its surroundings. The system identifies the malpractice and notifies the consumer and the manager by itself without depending on manpower at the petrol pump

Review of Pulse Monitoring System

Technology has evolved over the years and revolutionized our lives that have enabled the evolution of fields such as monitoring systems. This paper describes the development of a wireless heartbeat and monitoring system based on a Arduino at a reasonable cost with great effect. This paper describes a technique of measuring the heart rate through a fingertip and Arduino. Most monitoring system that are used today is a system must be designed so that patient can be monitored remotely in real time. The paper consists of sensors which measures heartbeat of a patient which is controlled by the Arduino. Both the readings are displayed in Application. The heartbeat sensor counts the heartbeat for specific interval of time and estimates Beats per Minute. Finally, the data are displayed in the Application at the receiving end

Highly Sensitive Electrospun Multiwalled Carbon Nanotubes Embedded Zinc Oxide Nanowire Based Interface for Label Free Biosensing

We demonstrate synthesis of Multiwalled carbon nanotubes (MW CNTs) embedded highly oriented Zinc Oxide (ZnO) nanowires targeted towards development of ultrasen sitive electrochemical nanobiosensors using electrospinning method. The synthesized composite nanowires combines advantages of ZnO such as biocompa tibility, electrostatic affinity towards biomolecules with the excellent conductivity and surface functi onalization capabilities of MWCNTs. Calcinatio n temperature is optimized so as to ensure MWCNTs are present in their original form and at the same time highly crystalline ZnO is obtained. The key advantage o f this process is that there is no separate functionalization pr ocess is required to create functional groups on MWCNTs. Furthermore, the electrochemical activity of MWCNTs embedded ZnO nanowires is much higher as compared to pure ZnO nanowires. We have demonstrated the performance of electrochem ical nanobiosensor using Biotin -streptavidin interaction as model system. The sensor exhibits excellent sensitivity in the range 10 μ gmL -1 - 0.5 fgmL -1 of streptavidin with 0.5fgmL -1 limit of detection

Tube wells for irrigation in India

Call number: LD2668 .R4 1963 V25

Non-thermal plasma assisted CO2 conversion to CO: Influence of non-catalytic glass packing materials

The current research is focused on the decomposition of carbon dioxide (CO2) into carbon monoxide (CO) and oxygen (O2) in a non-thermal plasma reactor using dielectric barrier discharge (DBD) at ambient conditions. Pure CO2 was injected into the DBD reactor at a flow rate of 30 mL min-1, and the voltage was varied between 16 kV to 22 kV. The filamentary micro discharges generated during plasma has a significant effect on CO2 conversion. The effect of packing materials on CO2 conversion was investigated by packing non-catalytic materials such as quartz wool, glass capillary, glass wool, and glass beads in the discharge zone of the DBD reactor. Among the studied packing materials, quartz wool exhibited a maximum CO2 conversion of 9.3 % at a discharge power of 2.0 W and specific energy input (SEI) of 4.0 J mL-1. However, glass capillary exhibited the highest energy efficiency of 1.2 mmol kJ-1 at an SEI of 3.5 J mL-1

Review Paper on Smart Systems

Nowadays, technology has become an inseparable part of human lives. Technologies are smart enough to respond to human commands, provide protection to them and their accessories. Smart systems provide functionalities that of humans and are able to execute them much more efficiently than us. Smart systems search for multiple solutions for a particular problem and based on their intellectual capability and available knowledge base and are able to process solutions from solution set to give optimized output to the user

Ultrasensitive, Label Free, Chemiresistive Nanobiosensor Using Multiwalled Carbon Nanotubes Embedded Electrospun SU-8 Nanofibers

This paper reports the synthesis and fabrication of aligned electrospun nanofibers derived out of multiwalled carbon nanotubes (MWCNTs) embedded SU-8 photoresist, which are targeted towards ultrasensitive biosensor applications. The ultrasensitivity (detection in the range of fg/mL) and the specificity of these biosensors were achieved by complementing the inherent advantages of MWCNTs such as high surface to volume ratio and excellent electrical and transduction properties with the ease of surface functionalization of SU-8. The electrospinning process was optimized to precisely align nanofibers in between two electrodes of a copper microelectrode array. MWCNTs not only enhance the conductivity of SU-8 nanofibers but also act as transduction elements. In this paper, MWCNTs were embedded way beyond the percolation threshold and the optimum percentage loading of MWCNTs for maximizing the conductivity of nanofibers was figured out experimentally. As a proof of concept, the detection of myoglobin, an important biomarker for on-set of Acute Myocardial Infection (AMI) has been demonstrated by functionalizing the nanofibers with anti-myoglobin antibodies and carrying out detection using a chemiresistive method. This simple and robust device yielded a detection limit of 6 fg/mL