Volume 8 | Issue 5

 Abstract

Abstract :In the present study an attempt has been made To see the effectiveness of the psychological intervention for the management of alcohol dependents and their quality of life .This pre-test and post- test study include 42 participants(alcohol dependents) age range 25-35 were screened on Alcohol Use Disorder Identification Test and their quality of life were assessed on WHOQOL?BREF. After that 21 each in the experimental and control group were selected randomly and statistical analysis ancova was applied. Finding indicated the significant improvement on the alcohol dependence usage of the participants and quality of life of the experimental group than the control group after the intervention.

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 Keywords

Psychological intervention; Alcohol Dependents; Quality of life;

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Road accidents have increased lately and so there needs to be a system that can help us to reduce accidents. So our proposed system does not need any human inception. The speed of the vehicle is detected by the potentiometer. If the person exceeds speed limit of 60 then the person gets alert with the help of BUZZER . If the person ignores the buzzer and exceeds the speed limit of 70 then along with the buzzer a notification will be raised through an e-mail mentioning the fine raised by government in the E-Challan. Accidents might occur because of over speed and also accidents might happen at any speed. If any accident happens then alert will be sent to the respective person we choose. To detect the accident there is ADXL335 Accelerometer sensor present in this rescue system. It detects irregular tilts of the vehicle. So, the emergency help team can immediately trace the location and action can be taken immediately.

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Alert, ADXL335 Accelerometer, Arduino, Blynk Application, Buzzer, NodeMCU

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Worldwide a great deal of research is currently being conducted concerning the use of fiber reinforced plastic wraps, laminates and sheet in the repair and strengthening of reinforced concrete member, fiber reinforced polymer (FRP)application is a very effective way to repair and strengthen structures that have become structurally weak over their life span , FRP repair system provide an economically viable alternative to traditional repair system and materialsExperimental investigations on the flexural and shear behavior of RC beams strengthened using continuous carbon fiber reinforced polymer (CFRP)sheets are carried out externally reinforced concrete beams with epoxy bonded CFRP sheets were tested to failure using a symmetrical two point concentrated static loading system .five beams were casted for this experimental test program .in one control beam ,other four beam first layer, two layer and three layer beam in flexural were casted were strengthened using laminates of carbon fiber reinforced polymer(CFRP) sheet. Experimental data on load deflection and failure modes of each of the beams were obtained .the detail procedure and application of CFRP sheet for strengthening of RC beams is also included .the effect of number of CFRP layers and its orientation on ultimate load carrying capacity and failure mode of the beams are investigated.

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FRP,CFRP,Carbon fiber,RC beam

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Creative Commons Attribution 4.0 and The Open Definition

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IOT based smart Street Lightning system aims at designing & executing the advanced development in embedded systems. This paper gives the most effective solution for electric power wastage for manual operation of the switching action of the road lights.Street Lightning system has multi functional features as two are used which are Light Dependent Resistor (LDR) sensor to point a day/night time and also the passive infrared sensor (PIR) to detect the movement of auto on the road. The ARDUINO UNO (ATMEGA328T) is employed as brain to regulate the road light system, where ARDUINO programming is used. The smoke sensor used also will detect the extend of pollution caused by the gases For over-speeding motion sensor is used as if vehicle on the road crosses the speed limits to avoid the accident on the road side areas and specially the highways. Upon sensing the movements the sensor transmits the info to the micro controller which instructs the sunshine to change ON. Similarly as soon as vehicle or an obstacle goes away the light intensity decreases.This was to scale back the side effects of this street lightning system, and find an answer to save lots of power. This project is cost effective, practical, Eco-friendly and also the safest thanks to save energy it clearly tackles the two problems that world is facing today, saving of energy and also disposal of incandescent lamps very efficiently. Thus, the paper contains a wider impact on the event of this method for the smart city project.

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 Keywords

Street Lights,LDR sensor, PIR sensor, ARDUINO UNO,ARDUINO NANO, SMOKE SENSOR, COMPARATOR, WI-FI-ESP MODULE(8266).

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Creative Commons Attribution 4.0 and The Open Definition

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Foreign Direct investment plays a very important role in the development of the nation. Sometimes domestically available capital is inadequate for the purpose of overall development of the country. Foreign capital is seen as a way of filling in gaps between domestic savings and investment. India can attract much larger foreign investments than it has done in the past. The present study has focused on the country wise performance of FDI equity inflows in India during 2016-17 to 2018-19 .The study also highlights country wise approvals of FDI inflows to India. The study based on Secondary data which have been collected through reports of the Ministry of Commerce and Industry, Department of Industrial Promotion and Policy, Government of India, Reserve Bank of India, and World Investment Report.

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 Keywords

FDI Equity Inflows, country�wise, Relationship, Two-tail test

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract- Neural network approaches for traf?c ?ow forecasting are usually even currently based on STL models, which do not take the data from the relative tasks. But instead of using STL and MTL, using Neural Networks can improve on generalization by transferring information in training signals of extra tasks. In our Deep Learning and Neural Networks are used in the prediction of traffic flow. Using DL and NN deep architecture to predict the short-term traffic flow in an urban traffic network have been used and are effective. Comprehensive experiments will be done to show that this method is effective in forecasting traffic.

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Deep Learning, Neural Networks.

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Abstract The new information to which the investors respond rapidly in the market is created by the efficiency of market, i.e. ability function. Informational efficiency and the analysis on the pattern of series on day-to-day basis of stock price have captured the maximum attention of research area in the field of finance. This research article presents an examination of efficiency of Mid-cap security in Indian stock market in NSE with different indices. It is an attempt to investigate the information efficiency in Mid-cap securities in Indian stock market. The fundamental objective of the study is to verify the informational efficiency of selected indices from NSE - NIFTY Mid-cap 50, NIFTY Mid-cap 100, NIFTY 50. For the purpose of accomplishing the objectives of the current study 3 years of data has been collected from the selected indices of NSE and the time series econometrics tools such as Unit root testing, Random walk modelling, VAR model, Causality model, and impulse response have been applied and results suggests that the Mid-cap securities at Indian stock market are highly inefficient and the price changes are not random.

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Key Words: Market efficiency, Mid-cap security, NIFTY Mid-cap 50, NIFTY Mid-cap 100, Random walk model

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Topology Optimization (TO) advantages are comprehend to a more extent cause to manufacturing freedom that Additive Manufacturing (AM) offer, analyzed to other conventional manufacturing methods. AM has the advantage of designing shallow and critical patterns formerly not feasible, and consequently opens up a whole new design spectrum. This paper study the capabilities of using topology optimization as a tool to find lighter and stronger patterns for the connecting rod in the si engine. By giving it more mass the connecting rod is optimized, subjecting it to load cases and pushing the topology optimization to generate the connecting rod meet the weight need without exceeding the yield strength. Result validation showing that the force/pressure loadings are the most prominent. The present topology optimization tools in ANSYS don't support optimization because features of thermal and thus optimization in the currented work has only been able to consider static structural loads. Nonetheless, this is possible to optimize the connecting rod because static structural loads and achieve a connecting rod which satisfies the weight need. However, optimization tools because thermal loading would be a desirable feature in the future.

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Connecting rob,Crank shaft, ANSYS work bench

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Surrogacy is an alternative option available to the intending parents, an option which encompasses the feeling of motherhood basically providing an opportunity to the infertile women to cast away the social stigma of being infertile so long the woman is alive. Apart from many alternatives, surrogacy has been considered as popular method to remove such social stigma with a view to sense the feeling of motherhood. The very recently introduced Bill , 2020 on surrogacy opened an avenue to the intending parents to avail the benefit of the same. The Bill has been introduced with a broader coverage to include the willing woman to become surrogate for others.This article has been prepared with a view to look into the procreative rights of the surrogate mother in the light of the Bill with necessary suggestions.

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surrogacy, procreative right, constitutional framework.

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Creative Commons Attribution 4.0 and The Open Definition

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In the present days of competitive world, the industries are trying to meet the market demand and increase the profits with optimal costs of the products being manufactured. Machining of hard metals, complex shapes with traditional manufacturing is difficult and it also results in extreme tool wear and damage of workpiece material. To overcome such drawbacks, unconventional machining processes such as Electric Discharge Machining (EDM) can be used to machine hard metals. In this project a prototype model of Die-Sinking EDM set-up is used consisting of different modules namely, pulse generation and control unit, tool-feed control unit. Square holes are machined on Zinc and Copper workpieces with Stainless Steel tool of size 9mm2 by using deionized water as dielectric fluid under different machining conditions by varying control factors like voltage and duty cycle. These experiments are carried out based on Taguchi�s Design of Experiments and Grey Relational Analysis is used for the optimization. An attempt has been made in this paper to investigate the optimal combination of process parameters, voltage, duty cycle.

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Electric Discharge Machining (EDM); EDM prototype; MRR; TWR; Machining time; voltage; duty cycle; Grey Relational Analysis; Grey Relational Grade

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Background: Swaddling was an almost universal child-care practice before the 18th century. In general, swaddled neonates shown improved neuromuscular development, less physiologic distress, better motor organization, and more self-regulatory ability and arouse less and sleep longer when they are swaddled. It can be helpful in regulating temperature but can also cause hyperthermia when misapplied. Although swaddling promotes the favourable supine position, the combination of swaddling with prone position increases the risk of sudden infant death syndrome, which makes it necessary to warn parents to stop swaddling if infants attempt to turn. Material and Method: A experimental study was conducted to evaluate the Effect of swaddling on Physiological and Neurobehavioral parameters among the neonates admitted at Pravara Rural Hospital, Loni (Bk). The sample consisted of 15 new-borns of experimental group and 15 new-borns control group; sampling technique used for present study was purposive sampling technique. was used prepared to collect the data. Descriptive Inferential statistics were used to analyse the data according to objectives and hypothesis. Results: The result of study found that the swaddling is effective to maintain physiological and neurobehavioral parameters in a normal range of neonates. Result of this study also conclude that, swaddling did not have any ill effect on physiological and neurobehavioral parameters. Neonates who received swaddling also did not develop any complications. Conclusion: The major conclusion drawn from this study is that the swaddling was found to be effective in maintain the physiological and neurobehavioral parameters in a normal state among the neonates. This study concludes that swaddling was beneficial in maintaining the physiological and neurobehavioral parameters in a normal range of neonates than the neonates who did not received swaddling.

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 Keywords

Effectiveness, Swaddling, Physiological parameters, Neurobehavioral parameters, Neonates

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Creative Commons Attribution 4.0 and The Open Definition

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This project deals with the treatment of grey water using corncob, activated corncob and combination of corncob with activated corncob. Corncobs are most important agricultural waste in maize cultivation therefore it is one of the cost effective method for water treatment and hence can be reused for irrigation, washing, flushing etc. On comparison of the three methods, activated corncobs are considered more efficient in removal of influent characteristics. BOD and COD has major removal efficiency of 86.16% and 66.94% respectively.

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Corncob, Synthetic Grey water

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

On March twenty four, the govt. of Asian nation ordered a 21-day, nation-wide captivity so as to contain the unfold of COVID-19. At that time, total case numbers in Asian nation were comparatively low, with solely 492 confirmed. However, total tests conducted at that time were thus low, within the order of twenty thousand, that it had been not possible to grasp what actuality infection rate was, or however the unwellness was spreading. the choice to impose imprisonment was thus taken within the face of deep uncertainty, and, needed deliberation up the implications to livelihoods against the danger of an uncontained eruption. What square measure the possible impacts of COVID-19 on Asian nation, each on its health care and economic systems, and on its property development and global climate change agenda?

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COVID-19, SAARC, BIMSTEC, STIMULUS PACKAGES, KEYNESIANISM, RCEP, MSME,

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Healthcare is an inevitable task to be done in humans daily life. Cardiovascular disease is a category for a range of diseases that are affecting heart and blood vessels. The early methods of forecasting the cardiovascular diseases helpful in making decisions about the changes to have occurred in high-risk patients which results in the reduction of risks. The health care industry contains medical data, therefore machine learning algorithms are required to make the decisions effectively in the prediction of heart diseases. Recently research has delved into uniting these techniques to provide hybrid machine learning algorithms. In the proposed research, data pre-processing uses techniques like the removal of noisy data, removal of missed data, filling default value if applicable and classification of attributes for prediction and decision making at different levels. The performance of the diagnosis model is obtained by using the methods like classification, accuracy, sensitivity analysis. This project proposes a prediction model to predict whether a people have any heart disease or not and to provide an diagnosis on that. This is done basically by comparing the accuracies of applying rules to the individual results of Support Vector Machine, Gradient Boosting, Random forest, Naive Bayes classifier and logistic regression on the dataset taken in a region to present an accurate model of predicting cardiovascular disease

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Heart Disease, Heart Disease Prediction System using Machine Learning

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This Study investigates the impact CSR has on the financial performance of companies using annual data ranging from 2014 to 2017 in India. Correlation analysis and Regression analysis have been used in this study to find the relationship and the impact on the variables. The results reveal that CSR has a positive significant influence on Net profits of the company.

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CSR, Financial Performance, Company

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Coordination transition metal complexes of Co(II) and Zn(II) ions with Schiff base ligand formed by condensation reactions using 3,5-dichloro-2-hydroxyacetophenone and 4-amino benzamide. The synthesized Schiff base is bidentate (ON) donor ligand to the metal ions. Both the ligand and the metal complexes are characterized by the various physico- chemical methods such as elemental analysis, molar conductance, UV, IR, NMR, powder XRD and ESR spectra. The spectral studies reveals that the complexes obtained as mononuclear structure and are four-coordinated metals center moieties with square planar geometry. Synthesized compounds are screened for their anti-bacterial activity against Gram positive and Gram negative bacteria by the well diffusion method.

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3,5-dichloro-2-hydroxyacetophenone, Schiff base, Transition metal complexes, P-XRD, Antibacterial studies

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 Abstract

A field experiment was conducted during Navarai season from February to June, 2017 at Agronomy farm of Pandit Jawaharlal Nehru College of Agriculture and Research Institute Karaikal, Union Territory of Puducherry, India to study the crop weather relationships on yield of aerobic rice under coastal region. The treatment consisted of three different date of sowing by weekly interval (February 6th, February 13th and February 20th) with five different seed priming practices. The treatments were evaluated in factorial concept of RBD with three replication. The results indicated that with respect to date of sowing, seeds sown on 6th February produced significantly the highest grain yield (2591.5 kg ha-1). This was followed by 13th February and 20th February of 1977.7 and 1236.8 kg ha-1, respectively. Correlation studies showed that the total bright sunshine hours did not significantly influenced the grain yield. However the mean maximum temperature, mean minimum temperature, total rainfall and total evaporation had a significant effect on grain yield. Considering the overall life span, the Agrometeorological indices viz., total Relative Temperature Disparity and total Relative Humidity Disparity did not influence the grain yield significantly, whereas all other derived weather parameters had a significant effect on grain yield. Regarding stepwise regression equations between grain yield of rice and weather parameters revealed that mean maximum temperature, mean morning relative humidity, mean evening relative humidity, total rainfall, total sunshine hours and total evaporation contributed to an extent of 90.5 per cent for total life span. The agrometeorological indices contributed significantly to the extent of 97.8 and 98.5 per cent during reproductive phase and total lifespan, respectively. From the study proved that the sowing window February 6th to be more effective for realizing higher productivity during Navarai season under aerobic rice cultivation at the coastal deltaic region.

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 Keywords

Date of sowing, Aerobic rice, Direct weather parameters, Agrometeorological indices, Correlation and Regression

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

When we are using soil for any construction work , such as subgrade in pavement ,or a foundation in building ,then there arises a need that a soil is to be stable, means the soil should able to withstand the stresses coming on it. When the work is done on granular soil ( Garvel, sand or silt ,with little or no clay ) then there occurs some problems, Granular soils are usually those type of soil which have low density and they also don�t have sufficient strength.So to solve this problem , we are using the cement as a stabiliser , which when mixes with the soil in some definite proportions, then there is a considerable improvement in the properties of soil.

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Granular soil, cement, compressive strength, fineness, gradation, cement,w/c ratio.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The pace of progress keeps on being quick with digital channels continually developing in volume and quality. More individuals invest more energy online in Delhi consistently, and the digital tools and sites they use assume an ever-developing role in their lives. Accordingly, which pushes an organization to embrace digital marketing for their endurance in industry. As a result, with the made digital marketing methodologies customer satisfaction level is accepted to raise too and, it is thus, a marketing type which should be centred around precisely by brands or organizations. The broad objective of this study is to learn the impact of digital marketing on client satisfaction, Delhi/NCR. However, the current situation of economy in 2020, cannot be denied which is prevailing due to the coronavirus crisis. Thus, this paper explains its upcoming issues for the businesses and how we can bravely deal with the multifarious challenges posed by this present crisis. This is along these lines, on the grounds that the point isn't to sell in digital marketing but to keep in contact with potential clienteles by which the overall GDP could reach at least at the same erg that it was three months back.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Digital Marketing, Growth, Social Media, Client Satisfaction

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In current scheme, user's data is completely stored in data servers. While storing the info in main server, users lose their right of control on data and face privacy leakage risk. Traditional privacy protection schemes usually support encryption technology. But these forms of methods cannot effectively resist attack within main server. So as to unravel this problem, we propose a framework which can take full advantage of information storage and also protect the privacy of information. We use Hash-Solomon code algorithm to divide data into different parts, so that these parts of data can be stored in local machine and main server and secondary server so as to guard privacy. To support computational intelligence, this algorithm can compute the distribution stored in main server, secondary server and native machine respectively.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Data Storage, Privacy, Hash-Solomon code

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Creative Commons Attribution 4.0 and The Open Definition