Volume 9 | Issue 3 |

 Abstract

The present study has been undertaken to assess knowledge score regarding management of schizophrenia among nursing students by customized awareness program in Jai Narayan College of Nursing, Bhopal. The research design adopted for the study was pre- experimental in nature. The tool for the study was self-structured knowledge questionnaire which consists of two parts-PART- I consisted questions related to Socio-demographic data; PART-II consisted of self -structured knowledge questionnaire to assess the knowledge score regarding management of schizophrenia among nursing students. The data was analyzed by using descriptive and inferential statistical methods. The most significant finding was that 17.39% of nursing students were having average knowledge regarding management of schizophrenia whereas 82.60% had good knowledge after post-test. It was suggested that the nurses must educate nursing students regarding management of schizophrenia.

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 Keywords

Effectiveness, customized awareness program, knowledge and management of schizophrenia

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 Abstract

The current study was to study the significant difference in the level of anxiety among males and females when exposed to someone tested positive for COVID-19. For the purpose of this study sample of 100 participants (50 males and 50 females) were selected within the age range of 16-40 years. The sample was administered to Health Anxiety Inventory (short version) by Salkavskis et at. (2002). For statistical analysis mean, SD and Independent Sample t-test were used which drew out the results stated there exists a significant gender difference in the level of anxiety when exposed to someone tested positive for COVID-19, that provide evidence to accept the hypothesis mentioned in the study. Also, there are insignificant gender differences in the case of hypochondriasis.

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 Keywords

Anxiety, Anxiety Disorders, Hypochondriasis, Coronavirus Anxiety

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The Indian Banking sector is undergoing significant changes and growth. This study assesses the social awareness among the consumers regarding security and privacy while using ATM/Cards (Debit/Credit) in Udaipur City. Primary data was collected from 550 consumers who are using ATM/Cards (Debit/Credit) service by using convenient sampling method and by means of structured questionnaire. The data were analyzed using Kruskal Wallis and chi square test. The study revealed that demographic factor i.e. gender, age, education and occupation play an important role for measuring the level of social awareness among the consumers with regard to security and privacy in ATM/Cards (Debit/Credit). It was also observed that except gender and age groups other demographic factors such as education and occupation directly affect the level of social awareness among the consumers of Udaipur city.

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 Keywords

Automated Teller Machine, banking, awareness, security and privacy

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Abstract: In the present study, the investigator intended to examine and explore Internet addiction in relation to the learning achievement of post-graduate level students. The investigator adopted a descriptive survey method and selected 110 P.G. level students from four social science courses of Kurukshetra University using stratified random sampling. Further, the investigator adopted the Internet Addiction Test (IAT) designed by Dr. Kimberly Young for the data collection regarding student's Internet Addiction. The researcher used t-test and product moment coefficient of correlation of Pearson for analysis of data. The results showed that there actually is negative and negligible correlation between addiction to the internet and achievement of learning of P.G. level students. There exists no significant variation in internet addiction between male and female P.G. level learners, but the difference in learning achievement between male and female P.G. level students was significant. Again there exists a significant difference in Internet addiction between Urban and Rural P.G. level students, and there exists no significant difference in Learning achievement between Urban and Rural P.G. level students. Finally, it was found that the difference in Internet Addiction and learning achievement of P.G. level students was significant.

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Internet Addiction, Learning Achievement

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In today's world the wireless technology is getting more and more used technology. This paper deals with use of one such wireless technology GSM for controlling electronic notice boards using ATMEGA328P microcontroller IC. This embedded system contains 2 types of main components. Those are hardware and software components. The hardware module constitutes of GSM modem, computer interface, microcontroller, monitoring system, and 16X2 LCD. The software module also consists of Arduino so as to monitor the information to be displayed on notice board efficiently as well as enter in the notices through the computer were the GUI is been used.

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Wireless technology, ATMEGA328P, 16X2LCD, SIM900 GSM Modem.

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Emotion recognition deals with sentiment analysis in Natural Language Processing which mainly focused on extraction and analysis of emotions. Individuals show their emotions through their conversations, emojis, short notes. Nowadays, information from Facebook, Twitters and Instagram etc., are used as a resource for text mining to find hidden emotions. Emotion retrieval behind these posts is a large and complex work. With the assistance of attitude detection, gadgets will create higher choices to assist their users. Hence, attitude detection from text is important in many areas such as decision making, user-robot interaction etc. Work done in this field is very less as compare to other fields. Therefore, it broadens our scope in the field of attitude detection from text. In this paper, we propose a hybrid model which extract phrasal words from the input and calculate the affect vector for the extracted words. Then based on affect vector, the proposed model categorize the sentence into appropriate target class. This survey paper covers the existing emotion detection models, available datasets, their options and their drawbacks. We have a tendency to concentrate on reviewing analysis efforts analyzing emotions supported text and summarize basic achievements within the field and highlight potential extensions for higher outcome.

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Emotion detection, text, emotions, machine learning techniques, Human-robot interaction.

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Non-healing ulcers, Qurooh-e-Aseeerat-ul-Indamaal, Irsal e Alaq, Itrifal e shahatara

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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House price, prediction, linear regression, real estate, economy

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Covid-19, Patti work, Social media, Applique, craft, Sheath dress, Sizes, Colors, Aligarh

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Creative Commons Attribution 4.0 and The Open Definition

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Tear Speaks...

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