Volume 6 | Issue 4

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

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SA213 T12, HVOF, SEM/EDX, Porosity etc

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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.

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

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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.

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

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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.

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

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 Abstract

Aadhunik sahitya mein naari chetna

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Aadhunik sahitya mein naari chetna

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Contracts bloomed into their fullness during the laissez fair era when the concept of volitional freedom of the individual reached its zenith. Then it became the accepted legal norms that two individuals were free to enter into any contract and agree to any terms thereunder, and they would be given effect to. In its essence, contract is that concept of law and in that way, a unique concept of law which permits two individual to make law for themselves; parties are free to enter into and agree to, any terms and undertake any obligations under a contract, and once they do so, they have got to abide by them. The terms of contract and obligations accepted there under are enforceable.

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A STUDY OF STANDARD FORM OF CONTRACTS

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Theory of Decreasing Responsibility thus states that a person may start his financial life with low assets and high liabilities, and therefore may have highest need for insurance at that stage of his life. But as he build up his wealth and his liabilities gets reduced after paying up for loans if any over the years, his need for insurance reduces gradually. He may then reach a point where his requirements for life insurance becomes little to no insurance as thus now he will be able to get self-insure using his accumulated wealth over the period of his life. This stimulates the people to adopt "Buy the Term and Invest the Difference" strategy while making investment in life insurance products. To validate this theory X-curve is used.

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Decreasing Responsibility, Life Insurance, Buy Term & Invest difference.

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The primary goal of this work is to investigate and construct a fingerprint-based passport identification and verification system based on microcontroller matching, which is often utilized in fingerprint approaches. The method consists of deleting fingerprint feature elements from the fingerprint sensor unit and then comparing fingerprints based on how many times the two fingerprints in question have been linked. When they do, the passports' validity for individual verification is confirmed. It's a wonderful method for selecting and positively identifying a specific person. We can use technology to improve security in every location.

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Fingerprint Recognition, Biometric Authentication, Cryptography Authentication.

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In the age of information, communication, and technology, cybersecurity has become a complex and fast changing security challenge (ICT). Cyber threats appear to be infiltrating every nook and cranny of national economies and infrastructure as ICT dependence spreads around the world; in fact, the increased use of computers and Internet-based networking has been accompanied by an increase in cyberattack incidents targeting individuals, businesses, and governments. Certain governments are increasingly viewing ICT as both a battleground for strategic warfare and a strategic asset to be leveraged for national security purposes. This paper examines the role of cybersecurity in the present security discussion, deepening the analysis by looking at the cybersecurity area from India's perspective.

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Cyber Security, Information Technology

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The migration phenomenon, particularly from rural to urban areas, is a significant determinant shaping demographic dynamics globally and in the Indian context. In India, rural-urban migration has profound socio-political and economic implications, impacting population size, composition, and spatial distribution. This research focuses on analysing the drivers, experiences, and consequences of migration from Umla Village to Leh Town, situated in the Ladakh region of India, contributing to the discourse on rural-urban migration in the country. Through a mixed-method approach combining qualitative and quantitative methodologies, the study aims to provide a comprehensive understanding of migration dynamics and their impacts on both sending and receiving communities. The findings reveal that a significant proportion of migrants from Umla Village have successfully integrated into the labour market of Leh Town, with 30.6% securing employment in the government sector and 50.3% in the private sector. However, 19.1% of migrants remain unemployed upon relocation, indicating potential challenges in accessing suitable employment opportunities in the urban environment. Additionally, disparities in demographic characteristics between Umla Village and Leh Town are evident, with differences in dependency ratios and educational attainment levels. The reasons motivating migration vary, with economic opportunities, education, healthcare, better infrastructure, and environmental factors such as water shortages playing significant roles. These findings have several implications for policy interventions aimed at addressing the needs of migrants and promoting sustainable development. Enhancing rural livelihood opportunities, strengthening access to education and healthcare services in rural areas, and investing in urban infrastructure in Leh Town are crucial steps to support local development, accommodate the growing influx of migrants, and ensure their well-being in urban environments.

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Migration; Rural-Urban Migration; Ladakh: Trans-Himalayan region; Leh; Households Migration

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