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

 Abstract

Concrete, a widely common building material, has cement as its primary ingredient. Global warming-causing greenhouse gases are released into the environment as a result of cement manufacture. Current research is thus concentrating on other materials to replace and lessen the requirement for cement. Steel fibers are incorporated to geo-polymer concrete in this study using GGBS. GGBS is a by-product of the steel industry. Concrete has been strengthened by the use of steel fibers. This experiment used geo-polymer concrete with GGBS and steel fiber (0.5%) together with 8 and 10 mol alkaline activators. The ratio of these alkali activators is 1:2.5. The results showed that fiber may significantly enhance mechanical properties. As the fiber volume fraction grows, so does the augmentation.

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Alkaline Activator Solution, Geo-polymer, Ground Granulated Blast Furnace Slag (GGBS), Molarity, and Steel Fibers, split tensile strength (STS), compressive strength (CS), flexural strength (FS), geo-polymer concrete (GPC)

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IoT and Big Data have been the talk of the technological industry for a while, and they are now essential technologies rather than just "nice to have" items. Organizations are under pressure to accept big data, which has greatly increased the usage of big data analysis over the past several years. As a result, companies are also quickly realizing what they need for it. The Internet of Things (IoT), on the other hand, has inspired the globe by demonstrating the benefits that a fully networked world may provide. Though IoT and Big data evolved independently, they have become interrelated over the period. Furthermore, the relation between big data and IoT has shown a convergence of the two technologies which is aligning the technologies in the best possible way. Hence, if IoT big data combination separately gives plenty of reasons for excitement, then combining the two technologies multiplies the anticipation. In this paper, we will discuss how IoT and big data go hand in hand and how organizations are obtaining benefits by using the internet of things big data together.

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IoT, Big Data, Data Mining

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For conducting caesarean sections sub arachnoid blocks are shown to be an easy, safe, and most commonly followed anesthetics technique. Nonetheless its connotation with some side effects like perioperative hypotension, bradycardia nausea and vomiting can't be ignored. The majority of these side effects are induced by sympathetic blockade, hypovolemia and Bezold-Jarisch reflex through intra-cardiac serotonin (5HT3) receptors and vague nerve. Various studies have already established the use of 5HT3 antagonists like Ondansetron in preventing the serotonin induced BJR and thus peri-operative hypotension. In the present study, it was imaginedby blocking type 3 serotonin receptors by intravenous (i.v.) ondansetrondecreases the incidence of hypotension brought by spinalanesthesia After procurement approval of recognized ethical group, and printed informed consent we conducted a study in 100 pregnant patients aged between 18-45 years with ASA 1 and 2status planned for an elective caesarean section at term. This is a potential, randomized, measured, double blinded study. Group I (n=50) received 4milligram ondansetron in 10 ml saline intravenously 5 mins before spinal puncture. Group II (n=50) received10 ml saline in the same way and at the same timing. Patients in both the group I and II received 1000 ml of Ringers lactate solutionover30 minutes in the pre-operative room prior to induction of spinal anesthesia which was induced using2.2 ml of 0.5% Bupivacaine heavy injected in intrathecalspaceinboththegroupsbysameanesthesiologist.Standard ASA monitoring including, ECG, Pulse oximetry and NIBP was recorded in both the groups. Measurements of BP and heart rate (HR) was taken every 5 minutes for 60 minutes. Hypotension was defined as a reduction in mean arterial pressure (MAP) of more than 20%, and 3 mg of me phentermine was administered intravenously. Bradycardia was defined as a reduction in heart rate of more than 20%, and atropine 0.6 mg iv was administered intravenously. Results Both groups are comparable in demographic. Statistically significant difference was noted in the Systolic Blood Pressures in both the groups at 0, 10, 20, 30, 40, 50 mins and 1-hour post sub arachnoid block. Requirement of vasopressor was significantly low in Group I 9 patients (18%) with a p=0.005 as compared to group II 32 (64%)patients Conclusion:It was safely concluded that administering intravenous ondansetron prior to spinal puncture significantly depress the incidence of hypotension and requirement of vasopressors.

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Ondansetron, hypotension, subarachnoid-block caesarean section

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This original copy examines the use of a fuzzy logic circuit (FLC) based dynamic voltage restorer (DVR) to alleviate voltage droops. Subordinate types of assistance, such as voltage and receptive force control, are offered by the electric framework that is urgently needed to ensure expanded appropriated age dispersion framework disabling capacity wanted to remain connected lists, ensuring the operational soundness of the force framework. This paper investigates how the current systems for dynamic and receptive force infusion sway the activity of lattice tied inverters as far as required force, current streaming, and decrease of dynamic force conveyance during the voltage hangs. Such informational resources are important for measuring converters for use in problematic situations. Moreover, incorporates stage lattice thinking and stable pinnacle dynamic force control approaches about characteristic () reference outline. The plan and execution of the examined power infusion methodologies are talked about, and their adequacy and specialized practicality are investigated through unique computational reenactments under even/topsy-turvy voltage hangs, and variety of the short out proportion.

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Fuzzy logic circuit, dynamic voltage regulator

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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.

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

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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.

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

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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

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

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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

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 Keywords

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

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