Volume 9 | Issue 5 |

 Abstract

The widespread use of the World Wide Web has ushered in a new way for people to share their feelings. It is also a medium with a wealth of knowledge where users can see other users' opinions, which are divided into various sentiment groups and are gradually becoming a key factor in decision-making. This paper contributes to the sentiment analysis for consumer review classification, which is useful for analysing information in the form of a large number of tweets with highly unstructured views that are either positive or negative, or somewhere in between. To do so, we first pre-processed the dataset, then extracted the adjectives from it that have some context, which is known as feature extraction. vector, then added the function vector list classification algorithms that use machine learning, such as: The content function is extracted using Naive Bayes, Maximum Entropy, and SVM, as well as the Semantic Orientation based WordNet, which extracts synonyms and similarity. Finally, we evaluated the classifier's output in terms of recall, precision, and accuracy.

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 Keywords

Machine Learning, Sentiment Analysis , Twitter

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Mental health is basically the key through which individual can enter into the chamber of happiness and wholesome adjustment. Wellness is dependent on the adequate coordination of physical and psychological health. Current new normal situation is creating a new arena in front of us and hence adjustment to such lifestyles is also a new task for everybody. Achieving proper mental health is reliant on the fulfillment and possession of some basic criteria like integration of thoughts, positive healthy feelings, development of healthy self-concept etc. Entire population is affected by this pandemic but the nature of consequence is to some extent different for the adolescent subsample. Sudden changes in daily life styles make them more prone towards internet usage, substance abuse. Grief, depression, anxiety are now companion of their journey to existence. Life is not static, so intervention strategies and probable coping up processes are also there. Psychologists and Sociologists have suggested some probable pathways for achieving the homeostasis in the frame of mental health. Problems and remedial measures are just the opposite of the same coin, name life cycle and it is our duty to help the individual who is out of such healthy track so that at the end positive fragrance of life can be achieved by them. This particular tries to throw light on several mental health issues among adolescents and coping strategies during covid-19 pandemic.

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 Keywords

Mental health, Adolescence, Pandemic, Coping strategies

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 Abstract

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 Keywords

climate change

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 Abstract

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 Keywords

self, New World, egotism, literary independence, individual, traditional

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 Abstract

ABSTRACT: OBJECTIVE: This study was designed to compare the efficacy of EMLA to ease the pain of intravenous cannulation after 15 minutes application and 60 minutes of application. Material and method: Randomized cross-sectional study was conducted on 100 patients. EMLA was applied for 15minutes in 50 patients and in remaining 50 patients for 60 minutes. Pain was assessed in two groups by VAS score. Result : Pain was assessed in both the groups and showed lower pain score. Both the groups were haemodynamically stable for intravenous cannulation. Conclusion: Hence EMLA can also be considered for 15 minutes prior to intravenous cannulation rather then 60 minutes.

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 Keywords

Keyword: EMLA, Intravenous Cannulation, VAS score.

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The objective of the study is to analyze the recent trends in public expenditure of Kerala in order to understand the fiscal stability and sustainability of the state of Kerala. The study analyses the major trends in expenditure of the State and the changing structure of public expenditure of the State. Revenue expenditure constitutes more than 90% of the total expenditure of the State and on average, more than 60 % of revenue expenditure is spent on salary, interest and pension and more than 75% of revenue receipt is used for them. While more than 90% of the total expenditure of the State was revenue expenditure, the average share of capital expenditure in total expenditure was only 9.06%. It shows that the State is not able to adequately mobilize resources for the development of infrastructure, public services and public utilities. Proper management of expenditure is required for attaining fiscal stability and sustainability for the state of Kerala.

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 Keywords

Revenue expenditure, capital expenditure, development expenditure, non-development expenditure, and capital outlay

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Speech Emotion Recognition is the act of attempting to recognize human emotion from the input audio file and the associated affective states from speech. This is capitalizing on the fact that voice often reflects underlying emotion through tone, frequency and pitch. Here we use python modules and machine learning algorithms for detecting the emotion from the audio file. Here we are predicting the emotion and display it to the user on the screen. We have mainly three different steps to detect the emotion and they are like training the model, extracting feature sets and providing input test audio. We use machine learning techniques like Multilayer perceptron Classifier (MLP Classifier) which is used to categorize the given data into respective groups which are non-linearly separated. We use python modules like librosa, pyaudio, sklearn, numpy to detect the emotion from audio file.

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 Keywords

Feature subset extraction, MLP Classifier, Emotion recognition.

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 Abstract

Ambrisentan is an orally active selective type A endothelin receptor antagonist indicated for the treatment of pulmonary arterial hypertension. The present investigation aimed at enhancing the oral bioavailability of Ambrisentan by improving its solubility and dissolution rate by preparing nanosuspensions. The nanosuspensions of Ambrisentan were prepared using emulsification solvent evaporation method. Various formulation as well as process parameters were optimized in order to achieve desirable size and saturation solubility. Characterization of the prepared nanosuspension was done with respect to particle size, zeta potential, saturation solubility, dissolution rate, morphology study (SEM), in-vitro dissolution study. The results indicated that increase in the stabilizer concentration of PEG 6000 shows 99.65% of drug release, so the formulations prepared by using PEG 6000 releases more drug release at the end of 30mins than the other stabilizers and follows first order kinetics. Nanosuspension seems to be a promising approach for bioavailability enhancement because of the simple method of its preparation and its universal applicability.

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 Keywords

Ambrisentan, PVP K30, zeta potential, SEM, solubility

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 Abstract

Centrifugal pumps are probably among the most often used machinery in industrial facilities as well as in common life. Centrifugal pump is widely used as a universal machine, so improving performances of the centrifugal pump is important for energy saving. With the development of computational fluid dynamics (CFD), numerical simulation has become the main method for performance prediction and structure design of the pump. The impeller is the most important part in a centrifugal pump since it is the place where the mechanical energy is converted into hydraulic energy. Hence the parameters related to the impeller are directly affecting the performance of the pump. Parameters are the blade exit angle, Blade inlet angle, blade diameter etc. if it is not correctly designed, it can negatively affect the head and the hydraulic efficiency of the pump. The previous research suggests that a larger blade angle is suitable. Also, exit blades angle variation contributes more in the performance. Compared with the values of theoretical and CFD simulation, the solution of the final design point exhibits a good consistency.

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 Keywords

Centrifugal Pump, Computational fluid dynamics

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 Abstract

Designing a concrete mix for some particular aspects of durability is relatively simple if a correct choice of the constitute materials is made. Adopting carefully designed concrete mixtures in the actual construction is no guarantee that the structures will be durable up to its designed life cycle. The first obstacle is non-homogeneity of the concrete in various parts of the structures caused by insufficient or lack of vibration due to carelessness of the workers or improper supervision. This report illustrates how a combination type SCC, made with a Viscosity Modifying Admixtures in an aqueous solution may be utillised efficiently for constructing durable structure with readily available local material and labour and present several international projects where SCC has been used with success.Also this report illustrates the study carried out on determination of suitable methods for assessing SCC at site. This work is based on the method for assessment of key properties of SCC like flow, passing ability, filling ability and segregation resistance. Final aim of this work is to decide and proposed a test method, which gives fast and accurate assessment of fresh SCC properties. A combination of Slump-flow test and L-Box test has been found suitable for workability assessment of SCC at job sites.

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 Keywords

scc,concrete,slump, test, viscosity,etc

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Creative Commons Attribution 4.0 and The Open Definition