Volume 10 | Issue 6

 Abstract

This study examined the relationship between emotional intelligence and resilience. The study was conducted to know the Emotional Intelligence and Resilience very well, to study these variables. To know the emotional behaviour of the person. And to know how the people, cope the difficult situations of their life. For this study survey method was used. It was conducted in Pune. Sample number was 50. Resilience test is an abbreviated version of the Nicholson McBride Resilience. The Wong and Law Emotional Intelligence Scale - WLEIS (Wong & Law, 2002), was used for emotional intelligence. In short the findings of this research were not consistent with the findings of the researches done before. Hypothesis that was constructed in this research was not supported. Hence, Emotional Intelligence is negatively corelated with resilience in early adulthood.

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Key words - resilience, emotional intelligence, early adulthood, correlation.

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Our project main aim is to reduces power consumption, time delay, area of multiplier and increases the efficiency, speed of multiplier

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XilinxVivado, Multiplier, Full Adder, FPGA, Verilog

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Bone fractures are the major and common issues faced by many people. These fractures often occur during accidents. To predict these fractures doctors are using x-rays. Sometimes it is difficult to predict whether it is fractured or not through the x-rays manually. These x-rays show a clear picture of the damage but the main issue is that some physicians are overlooking the small fractures which may cause a lot of damage in the future to that particular person. Model which analyses and classifies the images of hand, leg, chest, fingers and wrist fractures in a clear way. There are many other techniques to detect these fractures and this project is molded by using some artificial intelligence applications using machine learning and deep learning techniques. This project investigates specifically various models dependent on Convolutional Neural Networks which helps us to provide a better solution as it is a step-by-step process of image analyzing algorithm to predict whether the bone is fractured or normal. By comparing 3 types of CNN models which are ConvNet/CNN, VGG16 & R-CNN with the same image dataset, R-CNN gave the best accuracy.

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Convolutional Neural Networks, Machine Learning, algorithm, Fractures, Bones, Accidents, Doctors, X-Rays.

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 Abstract

The compact antenna for on-body applications is designed for covering ISM frequency bands. The antenna covering ISM frequency bands in range of 2.45 and 5.8 GHz. The circular structure with triangular slots is responsible for obtaining the dual band applications. The antenna designed on flexible polyimide substrate having dielectric constant of 3.5 with loss tangent of 0.008. The bending analysis of the antenna is performed to analyze the flexible nature. The proposed antenna covering the frequency range 2.3-3.5 GHz and 5.1-6.8 GHz with fractional bandwidth of 41% and 28%. The antenna provides the stable dipole and omnidirectional patterns. The measured antenna provides the peak gain of 2.3 dBi at 2.5GHz and 4.7 dBi at 5.8 GHz radiation efficiency of 78% at 2.5 GHz and 84% at 5.8 GHz. To validate the antenna performance antenna undergone for the comparison of simulated and measured results by placing antenna on human body.

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Specific absorption rate, On-body applications, Circular Ring

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ESP32, NODEMCU, Internet of Things (IoT), MAX30100 sensor, GPS Module, LM35, BMP180, BLYNKAPP, Arduino IDE

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Induction heating, VFSRI, Zero- Voltage Switching, Zero- Current Switching, Matching transformer.

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We found that a significant extent of people in general in China has a clear expectation to get the COVID-19 antibody; a higher extent communicated a plausible goal. Seen advantages and boundaries to inoculation (antibody adequacy and unfavorable occasion worries) of the wellbeing conviction model develops were critical indicators of COVID-19 immunization purpose. To a significant extent I was worried about phony or broken COVID-19 antibodies; in any case, this was not a critical indicator of immunization aim. The eagerness to pay for the COVID was not entirely set in stone and was viewed as emphatically connected with pay. Higher trust in locally made COVID-19 immunizations was likewise found in this review. The inclination for locally made over unfamiliar made COVID-19 immunizations proves that a future COVID-19 antibody created by homegrown organizations will get an ideal reaction from the general population in China. The discoveries of this study give helpful direction to fitted mediations to upgrade the acknowledgment of another COVID-19 antibody once it is accessible. Special messages outlining the advantage of immunization and worries about new antibody wellbeing to upgrade antibody take-up is justified.

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Covid-19, vaccinations, linear regression, graphs

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Present examination estimated sugar content in extracted juices of four different fruits (grapes, orange, pineapple, and watermelon) available in the local market. For this work, Fehling's solution was standardized by using glucose and then estimated the reducing and non-reducing sugar of samples by titrimetric analysis. The sugar content of different samples was compared by drawing a bar diagram. From my analysis, it is clear that almost all fruits contain a considerable amount of sugar. Orange was formed to be the richest source of sugar and watermelon the least. The amount of sugar and relative proportions present in various fruits depend on their nature and degree of maturation.

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Reducing sugar, Non-reducing sugar, Different fruits, Glucose, Fehling's solution Methylene blue, Titration, Bar diagram.,

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Diabetes mellitus is caused by decreased insulin secretion. The people throughout the world increasingly affected by diabetes mellitus, a global problem. Due to side effects and other reasons usage of oral hypoglycemic agents is reduced. Globally, there will be an increase in the usage of herbal medicines for treating various diseases was reported. According to WHO all herbal medicines should be scientifically evaluated for their activities. In India from ancient time onwards herbal medicines were used to cure many diseases. Diabetes mellitus is cured by many medicinal plants. Many formulations were also formulated to treat diabetes mellitus but there is a lack of scientific validation so, the aim of this study is to select and scientifically validate a traditional polyherbal formulation. This review work is a small step towards scientifically studying the traditional polyherbal antidiabetic formulation, so as to standardize and improve the formulation for the benefit of humankind. traditional polyherbal formulation. This review work is a small step towards scientifically studying the traditional polyherbal antidiabetic formulation, so as to standardize and improve the formulation for the benefit of humankind. This dreadful disease is found in all parts of the world and is becoming a serious threat to mankind health. It is caused by the deficiency or ineffective production of insulin by pancreas which results in increase or decrease in concentrations of glucose in the blood. There are lots of chemical agents available to control and to treat diabetic patients, but total recovery from diabetes has not been reported up to this date.

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Antihyperglycemic, antioxidant, metformin, streptozotocin, Diabetes mellitus

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The Go-kart Vehicle is made with Four tires, a seat, steering, and brakes, and without suspension and differential. Racing go-karts are vehicles with very low ground clearance that can be used only on level circuits. This gokart was designed and analysed using an electric motor. These calculations and analyses show the details of the design and analysis. We aim to reduce weight and improve performance. It was decided to use AISI 4130 for making the chassis frame. An analysis of the part was then performed with Solidworks2018 CAD software following the 3d solid modelling step. In addition, analyse the deformation of the chassis in front, side, and rear impacts. Ackerman angles are provided on all steering systems. The caster angle is 11 degrees and the kingpin inclinations are 6 degrees, respectively. Due to maximum deformation of 2.481.and the maximum factor of safety of 15 and the maximum stress 337.84.

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material used AISI4130, impact test, chassis frame, battery cell, electric motors, factor of safety

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Cefixime, Efficacy, Safety, Community-acquired pneumonia ,systematic review.

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Chronic kidney Disease (CKD) means your kidneys are damaged and not filtering your blood the way it should. The primary role of kidneys is to filter extra water and waste from The associate editor coordinating the review of this manuscript and approving it for publication was Haruna Chiroma. your blood to produce urine and if the person has suffered from CKD, it means that wastes are collected in the body. This disease is chronic because of the damage gradually over a long period. It is flattering a common disease worldwide. Due to CKD may have some health troubles. There are many causes of CKD like diabetes, high blood pressure, and heart disease. Prediction of Chronic Kidney Disease depends on age and gender. If your kidney is not working, then you may notice one or more symptoms like abdominal pain, back pain, diarrhea, fever, nosebleeds, rash, vomiting In our project, we are going to improve the Deep neural network for detecting chronic kidney disease by increasing the number of hidden layers in it. So that we can able to get high accuracy during classification.

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Deep neural network, hidden layers, CKD.

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Abstract: An inductor-based DC-DC converter with dual input and output (DIDO) is presented in this paper for renewable energy systems. SOC (State of Charge) control for battery and time-sharing control for switches has been proposed for power flow management between battery, solar PV, and standalone DC load. The converter integrates solar and battery sources at the input and provides a constant output for the load. The surplus energy is stored in the battery and can be utilized later in the absence of renewable energy sources. Both the input sources can power up the load individually and simultaneously. The converter operates in several modes depending upon the availability of input sources and load conditions. Sboost is main boost converter switch, and it will operate at both Dual Output Boost Mode (DOBM) and Dual Input Boost Mode (DIBM). The switches and diodes are used to set the battery as an output to store excess solar PV power and used to set battery as an input. The output capacitor and input capacitor are connected across the load and the input terminal respectively to reduce the output voltage and input voltage ripples. The steady state performance of the single stage converter has been explained with the relevant analytical expressions derived along with the characteristics. The simulation of the entire system is simulated by MATLAB- SIMULINK software and the characteristics are presented. A hardware prototype of the proposed system has been fabricated and dsPIC16F887 controller have been implemented.

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- DC-DC power converter, DIDO converter, Batteries, Solar power generation, Boost converter, Photovoltaic power systems

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Frederick Henry believes that defeat is worst than living because life becomes horrible and lifeless as he says,"I believe we should get the war over," I said. " It would not finish if one side stopped fighting.It would only be worse if we stopped fighting...Defeat is worse...They come after you.They take your home.They take your sisters...They hang you.They come and make you be a soldier again.Not in the auto-ambulance in the infantry...I think you do not know anything about being conquered and so you think it is bad."To the ambulance driver Frederick describes that if the war is won then nothing happens but if there is a defeat everything is ruined when Frederick says to the ambulance driver that war is always either a defeat or a winning because if one is defeated then they have to pay for their failure as they take away their family,home and near and dear friends and sisters away from them so it is very essential to win a war and to avoid a defeat in war.

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This paper advocates an information summarization approach supported distance instead of the standard period of time once developing personal machine learning models for fuel consumption. This approach is employed in conjunction with some predictors derived from vehicle speed and road grade to provide a extremely prognosticative neural network model for average fuel consumption in significant vehicles.

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A Machine Learning Model For Average Fuel Consumption In Heavy Vehicles

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We are going through a period of lockdown where the Indians have not known this situation for so long. In such a situation, in the era of technology and the Internet plays important role in pandemic period. Everyone spending their free time in front of the digital screen, where they have many options to see. The growing number of viewers of OTT video streaming services and the big star's penchant for this platform justifies this. Today, the time we spend in front of our screens has increased enormously. As cinemas close and film release has been suspended across the country, this technological shift has taken place. The internet has created a new kind of viewing experience and it could end up changing the collective cinema experience that causes a dent in the tread every time the screens reopen. This change in viewing experience created by OTT is a big fear for movie theater owners. This thesis explores seeks to analyze the impact of the rise of OTT video streaming services viewership in lockdown to assess the future of collective watching experience in India.

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azithromycin dihydrate, dental cones, swelling index, in vitro drug release. Antibacterial study.

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There are number of users who purchase products online and make payment through various websites. There are multiple websites who ask user to provide sensitive data such as username, password or credit card details etc. often for malicious reasons. This type of websites is known as phishing website. Phishing attacks are becoming more common and sophisticated, putting Internet users at risk. While these assaults have shown robust to a wide number of countermeasures presented by academia, business, and research groups, machine learning algorithms look to be a viable option for discriminating between phishing and authentic websites. Existing machine learning algorithms for phishing detection have three major drawbacks. The first issue is that there is neither a framework for extracting features and maintaining the dataset up to date, nor an updated collection of phishing and genuine websites. The second point of concern is the vast number of features employed, as well as the absence of supporting evidence for the characteristics used to train the machine learning classifier. The final point of concern is the sort of datasets utilised in the research, which appear to be unwittingly skewed in terms of URL or content-based attributes. The development of our open-source and extendable system to extract features and produce up-to-date phishing dataset is described in this thesis. We integrated 29 distinct characteristics into our framework, dubbed Fresh-Phish, to determine whether a particular website is authentic or phishing. We constructed a dataset of 6,000 websites with these qualities, 3,000 of which were malicious and 3,000 of which were legitimate, and evaluated our technique using 26 features published in previous work and three novel features. We concentrate on this aspect of phishing websites and design features that investigate the domain name's relationship to the website's key elements. Our study varies from the previous state-of-the-art in that our feature set assures that a dataset has low or no bias. On a sample dataset, our learning model achieves a true positive rate of 98 percent and a classification accuracy of 97 percent using only seven features. Our per data instance processing and classification is 4 times quicker for authentic websites and 10 times faster for phishing websites when compared to state-of-the-art work. We also show the drawbacks of utilising URL-based characteristics, since they are likely to be skewed towards dataset acquisition and consumption.

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Detection of Phishing Websites using an Efficient Deep Learning Framework

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Slabs are a major component of the structural element for building foundations and there is also a great demand for the use of concrete in most constructions. These are the reasons for the creative development of reinforced concrete concepts that reduce weight and give a longer duration. U boot technology is proposed to obtain large-span slabs or to accommodate heavy loads without beams. This technique is used where the U-boot baton can be placed in slabs with concrete and steel with proper arrangement. U-Boot Baton is a container like formwork structure produced using reused polypropylene, a result of the business for building lightweight wide chunks and pontoon establishments in built up concrete.. One solution is to build a slab with a wide span with more bearing power. The utilization of the U-boot structure assists with diminishing how much concrete and steel expected for laying sections.

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U Boot, Polypropylene, Slab, Weight Reduction, Voided Slab, Concrete.

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