The most common orthopedic illness in the worldwide, osteoarthritis (OA), affects mainly hand, hip, and knee joints. OA invariably leads to surgical intervention, which is a huge burden on both the individual and the society. There are numerous risk factors that contribute to OA, although the pathogenesis of OA and the molecular basis of through such are unknown at this time. OA is presently identified with an analyses were used to examine and, if required, corroborated through imaging - a radiography study. These traditional methods, on the other hand, are not susceptible to sense the beginning phases of OA, making the creation of precautionary interventions for specific disease problematic. As a result, other approaches which might permit for the timely identification of OA are needed. As a result, computerized perception algorithms give measurable indicators that may be used to determine the severity of OA from photographs in an automated and systematic manner. The study of Knee radiography and its quantitative analysis is analyzed in this paper.
{"title":"Quantitative Analysis of Knee Radiography","authors":"R. Kanthavel, R. Dhaya","doi":"10.36548/jei.2021.3.002","DOIUrl":"https://doi.org/10.36548/jei.2021.3.002","url":null,"abstract":"The most common orthopedic illness in the worldwide, osteoarthritis (OA), affects mainly hand, hip, and knee joints. OA invariably leads to surgical intervention, which is a huge burden on both the individual and the society. There are numerous risk factors that contribute to OA, although the pathogenesis of OA and the molecular basis of through such are unknown at this time. OA is presently identified with an analyses were used to examine and, if required, corroborated through imaging - a radiography study. These traditional methods, on the other hand, are not susceptible to sense the beginning phases of OA, making the creation of precautionary interventions for specific disease problematic. As a result, other approaches which might permit for the timely identification of OA are needed. As a result, computerized perception algorithms give measurable indicators that may be used to determine the severity of OA from photographs in an automated and systematic manner. The study of Knee radiography and its quantitative analysis is analyzed in this paper.","PeriodicalId":10896,"journal":{"name":"Day 1 Tue, September 21, 2021","volume":"30 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88825755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-27DOI: 10.36548/jucct.2021.3.001
P. P. Joby
At present, the traditional healthcare system is completely replaced by the revolutionary technique, the Internet of Medical Things (IoMT). Internet of Medical Things is the IoT hub that comprises of medical devices and applications which are interconnected through online computer networks. The basic principle of IoMT is machine-to-machine communication that takes place online. The major goal of IoMT is to reduce frequent or unwanted visits to the hospitals which makes it comfortable and is also highly preferred by the older people. Another advantage of this methodology is that the interpreted or collected data is stored in cloud modules unlike amazon and Mhealth, making it accessible remotely. Although there are countless advantages in IoMT, the critical factor lies in data security or encryption. A surplus number of threat related to devices, connectivity, and cloud might occur under unforeseen or threatening circumstances which makes the person in the situation helpless. Yet, with the help of data security techniques designed especially for Internet of Medical Things, it is possible to address these challenges. In this paper, a review on data securing techniques for the internet of medical things is made along with a discussion on related concepts.
{"title":"A Review on Data Securing Techniques using Internet of Medical Things","authors":"P. P. Joby","doi":"10.36548/jucct.2021.3.001","DOIUrl":"https://doi.org/10.36548/jucct.2021.3.001","url":null,"abstract":"At present, the traditional healthcare system is completely replaced by the revolutionary technique, the Internet of Medical Things (IoMT). Internet of Medical Things is the IoT hub that comprises of medical devices and applications which are interconnected through online computer networks. The basic principle of IoMT is machine-to-machine communication that takes place online. The major goal of IoMT is to reduce frequent or unwanted visits to the hospitals which makes it comfortable and is also highly preferred by the older people. Another advantage of this methodology is that the interpreted or collected data is stored in cloud modules unlike amazon and Mhealth, making it accessible remotely. Although there are countless advantages in IoMT, the critical factor lies in data security or encryption. A surplus number of threat related to devices, connectivity, and cloud might occur under unforeseen or threatening circumstances which makes the person in the situation helpless. Yet, with the help of data security techniques designed especially for Internet of Medical Things, it is possible to address these challenges. In this paper, a review on data securing techniques for the internet of medical things is made along with a discussion on related concepts.","PeriodicalId":10896,"journal":{"name":"Day 1 Tue, September 21, 2021","volume":"58 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79312128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-27DOI: 10.36548/jscp.2021.3.008
N. Bhalaji
In recent days, we face workload and time series issue in cloud computing. This leads to wastage of network, computing and resources. To overcome this issue we have used integrated deep learning approach in our proposed work. Accurate prediction of workload and resource allocation with time series enhances the performance of the network. Initially the standard deviation is reduced by applying logarithmic operation and then powerful filters are adopted to remove the extreme points and noise interference. Further the time series is predicted by integrated deep learning method. This method accurately predicts the workload and sequence of resource along with time series. Then the obtained data is standardized by a Min-Max scalar and the quality of the network is preserved by incorporating network model. Finally our proposed method is compared with other currently used methods and the results are obtained.
{"title":"Cloud Load Estimation with Deep Logarithmic Network for Workload and Time Series Optimization","authors":"N. Bhalaji","doi":"10.36548/jscp.2021.3.008","DOIUrl":"https://doi.org/10.36548/jscp.2021.3.008","url":null,"abstract":"In recent days, we face workload and time series issue in cloud computing. This leads to wastage of network, computing and resources. To overcome this issue we have used integrated deep learning approach in our proposed work. Accurate prediction of workload and resource allocation with time series enhances the performance of the network. Initially the standard deviation is reduced by applying logarithmic operation and then powerful filters are adopted to remove the extreme points and noise interference. Further the time series is predicted by integrated deep learning method. This method accurately predicts the workload and sequence of resource along with time series. Then the obtained data is standardized by a Min-Max scalar and the quality of the network is preserved by incorporating network model. Finally our proposed method is compared with other currently used methods and the results are obtained.","PeriodicalId":10896,"journal":{"name":"Day 1 Tue, September 21, 2021","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82480024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-27DOI: 10.36548/jitdw.2021.3.001
R. Kanthavel, R. Dhaya
There is a need for better medical and preclinical instruments to diagnose knee OA in its initial phases owing to the increase occurrence of knee osteoarthritis (OA), a devastating knee joint degeneration. Osteoarthritis commonly affects patients who are obese and those above the age of 60. This mainly happens to age down and over-weighted people. The goal is to provide practical methods for assessing the seriousness of knee OA quickly and with human consistency. We also present Changes that affect your chances of getting sick of knee osteoarthritis, Treatment of knee osteoarthritis and the Prevention methods of knee osteoarthritis.
{"title":"PROGRESS AND PRECLUSION OF KNEE OSTEOARTHRITIS: A STUDY","authors":"R. Kanthavel, R. Dhaya","doi":"10.36548/jitdw.2021.3.001","DOIUrl":"https://doi.org/10.36548/jitdw.2021.3.001","url":null,"abstract":"There is a need for better medical and preclinical instruments to diagnose knee OA in its initial phases owing to the increase occurrence of knee osteoarthritis (OA), a devastating knee joint degeneration. Osteoarthritis commonly affects patients who are obese and those above the age of 60. This mainly happens to age down and over-weighted people. The goal is to provide practical methods for assessing the seriousness of knee OA quickly and with human consistency. We also present Changes that affect your chances of getting sick of knee osteoarthritis, Treatment of knee osteoarthritis and the Prevention methods of knee osteoarthritis.","PeriodicalId":10896,"journal":{"name":"Day 1 Tue, September 21, 2021","volume":"125 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73152596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-27DOI: 10.36548/jtcsst.2021.3.003
S. Shakya
Deep learning methods have gained an increasing research interest, especially in the field of image denoising. Although there are significant differences between the different types of deep learning techniques used for natural image denoising, it includes significant process and procedure differences between them. To be specific, discriminative learning based on deep learning convolutional neural network (CNN) may effectively solve the problem of Gaussian noise. Deep learning based optimization models are useful in predicting the true noise level. However, no relevant research has attempted to summarize the different deep learning approaches for performing image denoising in one location. It has been suggested to build the proposed framework in parallel with the previously trained CNN to enhance the training speed and accuracy in denoising the Gaussian White Noise (GWN). In the proposed architecture, ground truth maps are created by combining the additional patches of input with original pictures to create ground truth maps. Furthermore, by changing kernel weights for forecasting probability maps, the loss function may be reduced to its smallest value. Besides, it is efficient in terms of processing time with less sparsity while enlarging the objects present in the images. As well as in conventional methods, various performance measures such as PSNR, MSE, and SSIM are computed and compared with one another.
{"title":"Removal of Gaussian White Noises from the image by probability map prediction based Deep learning approach","authors":"S. Shakya","doi":"10.36548/jtcsst.2021.3.003","DOIUrl":"https://doi.org/10.36548/jtcsst.2021.3.003","url":null,"abstract":"Deep learning methods have gained an increasing research interest, especially in the field of image denoising. Although there are significant differences between the different types of deep learning techniques used for natural image denoising, it includes significant process and procedure differences between them. To be specific, discriminative learning based on deep learning convolutional neural network (CNN) may effectively solve the problem of Gaussian noise. Deep learning based optimization models are useful in predicting the true noise level. However, no relevant research has attempted to summarize the different deep learning approaches for performing image denoising in one location. It has been suggested to build the proposed framework in parallel with the previously trained CNN to enhance the training speed and accuracy in denoising the Gaussian White Noise (GWN). In the proposed architecture, ground truth maps are created by combining the additional patches of input with original pictures to create ground truth maps. Furthermore, by changing kernel weights for forecasting probability maps, the loss function may be reduced to its smallest value. Besides, it is efficient in terms of processing time with less sparsity while enlarging the objects present in the images. As well as in conventional methods, various performance measures such as PSNR, MSE, and SSIM are computed and compared with one another.","PeriodicalId":10896,"journal":{"name":"Day 1 Tue, September 21, 2021","volume":"97 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85682329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-23DOI: 10.36548/jscp.2021.3.007
R. Dhaya
In recent years, there has been an increasing research interest in image de-noising due to an emphasis on sparse representation. When sparse representation theory is compared to transform domain-based image de-noising, the former indicates that the images have more information. It contains structural characteristics that are quite similar to the structure of dictionary-based atoms. This structure and the dictionary-based method is highly unsuccessful. However, image representation assumes that the noise lack such a feature. The dual-tree complex wavelet transform incorporates an increase in transform data density to reduce the effects of sparse data. This technique has been developed to decrease the image noise by selecting the best-predicted threshold value derived from wavelet coefficients. For our experiment, Discrete Cosine Transform (DCT) and Complex Wavelet Transform (CWT) are used to examine how the suggested technique compares the conventional DCT and CWT on sets of realistic images. As for image quality measures, DT-CWT has leveraged superior results. In terms of processing time, DT-CWT gave better results with a wider PSNR range. Further, the proposed model is tested with a standard digital image named Lena and multimedia sensor images for the denoising algorithm. The suggested denoising technique has delivered minimal effect on the MSE value.
{"title":"Comparative Analysis of an Efficient Image Denoising Method for Wireless Multimedia Sensor Network Images in Transform Domain","authors":"R. Dhaya","doi":"10.36548/jscp.2021.3.007","DOIUrl":"https://doi.org/10.36548/jscp.2021.3.007","url":null,"abstract":"In recent years, there has been an increasing research interest in image de-noising due to an emphasis on sparse representation. When sparse representation theory is compared to transform domain-based image de-noising, the former indicates that the images have more information. It contains structural characteristics that are quite similar to the structure of dictionary-based atoms. This structure and the dictionary-based method is highly unsuccessful. However, image representation assumes that the noise lack such a feature. The dual-tree complex wavelet transform incorporates an increase in transform data density to reduce the effects of sparse data. This technique has been developed to decrease the image noise by selecting the best-predicted threshold value derived from wavelet coefficients. For our experiment, Discrete Cosine Transform (DCT) and Complex Wavelet Transform (CWT) are used to examine how the suggested technique compares the conventional DCT and CWT on sets of realistic images. As for image quality measures, DT-CWT has leveraged superior results. In terms of processing time, DT-CWT gave better results with a wider PSNR range. Further, the proposed model is tested with a standard digital image named Lena and multimedia sensor images for the denoising algorithm. The suggested denoising technique has delivered minimal effect on the MSE value.","PeriodicalId":10896,"journal":{"name":"Day 1 Tue, September 21, 2021","volume":"57 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79001577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-23DOI: 10.36548/jtcsst.2021.3.002
G. Christina
Antennas are metallic structure elements developed for transmitting signals through radio waves. Nowadays, antennas are available in different shape depending upon their application and signal strength. The antennas which are employed for space and large signal communication utilizes a bowl shape structure for focusing the signals on a single point. Certain antennas are designed to move on both horizontal and vertical directions for their signal transmission. The microstrip patch antennas are very small in size and it comes under the type of printed antennas. The microstrip patch antennas are widely employed on mobile phone communications and medical applications. The performances of the microstrip patch antennas are increased in recent years and the motive of the review work is to analyse the methodology followed behind it. In the same way, the work analyses the merits and limitations of the recent techniques developed for the performance improvement of the microstrip patch antennas.
{"title":"A Review on Microstrip Patch Antenna Performance Improvement Techniques on Various Applications","authors":"G. Christina","doi":"10.36548/jtcsst.2021.3.002","DOIUrl":"https://doi.org/10.36548/jtcsst.2021.3.002","url":null,"abstract":"Antennas are metallic structure elements developed for transmitting signals through radio waves. Nowadays, antennas are available in different shape depending upon their application and signal strength. The antennas which are employed for space and large signal communication utilizes a bowl shape structure for focusing the signals on a single point. Certain antennas are designed to move on both horizontal and vertical directions for their signal transmission. The microstrip patch antennas are very small in size and it comes under the type of printed antennas. The microstrip patch antennas are widely employed on mobile phone communications and medical applications. The performances of the microstrip patch antennas are increased in recent years and the motive of the review work is to analyse the methodology followed behind it. In the same way, the work analyses the merits and limitations of the recent techniques developed for the performance improvement of the microstrip patch antennas.","PeriodicalId":10896,"journal":{"name":"Day 1 Tue, September 21, 2021","volume":"72 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88119463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
It is a crucial issue to retain highly qualified educators to provide high quality education in private schools. High turnover of educators in private schools has a negative impression on the pupil satisfaction and on their educational progress as well. Retention of educators refers to retaining qualified and efficient teachers in schools for a long time. As recruitment is a complex process for the selection of qualified and competent teachers so, retention of teachers is most crucial and extensive issue for private schools in of Pakistan. The present research study was conducted to explore the impacts of school’s administrations on educators’ retention at the private schools in Pakistan. The descriptive statistics and t-test statistical tools were applied to assess collected data with respect to school’s administrations, their behavior and facilities. The findings of the study based on the Likert Scale indicated that most of teachers were not satisfied with their school’s administration, their behaviors and facilitation. T-test analysis indicated that no significance difference was found between the retention intentions of male and female teachers.
{"title":"THE IMPACT OF ADMINISTRATORS ON TEACHER RETENTION AT PRIVATE SECONDARY SCHOOLS IN PAKISTAN","authors":"Noman Tariq, Imran Yousuf, F. Ajmal","doi":"10.51380/gujr-37-03-08","DOIUrl":"https://doi.org/10.51380/gujr-37-03-08","url":null,"abstract":"It is a crucial issue to retain highly qualified educators to provide high quality education in private schools. High turnover of educators in private schools has a negative impression on the pupil satisfaction and on their educational progress as well. Retention of educators refers to retaining qualified and efficient teachers in schools for a long time. As recruitment is a complex process for the selection of qualified and competent teachers so, retention of teachers is most crucial and extensive issue for private schools in of Pakistan. The present research study was conducted to explore the impacts of school’s administrations on educators’ retention at the private schools in Pakistan. The descriptive statistics and t-test statistical tools were applied to assess collected data with respect to school’s administrations, their behavior and facilities. The findings of the study based on the Likert Scale indicated that most of teachers were not satisfied with their school’s administration, their behaviors and facilitation. T-test analysis indicated that no significance difference was found between the retention intentions of male and female teachers.","PeriodicalId":10896,"journal":{"name":"Day 1 Tue, September 21, 2021","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81668009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This article narrates that strategic leadership thinking and quick decision- making ability are vital to minimize the negative impact of COVID 19 on the public health and safety. Current outbreak poses serious need to develop a model for tackling the outbreak. The study also argues that the strategic management process and emergency decision-making provide direction to the leadership efforts in ensuring public health and enable scientific allocation of resources during the COVID 19 pandemic. The study presents the strategic management model of COVID 19 by integrating the strategic management process with emergency decision-making model. The study applies the model on People's Republic of China experience with COVID 19 and finds high applicability of proposed model. Moreover, the study argues that other countries can use proposed model to guard the public health and safety by defeating COVID 19. Deloped strategic management model posses a significant practical implications in the current scenarios, as COVID 19 is posing a threat to human race.
{"title":"THE STRATEGIC MANAGEMENT MODEL FOR COVID 19 \"A RACE AGAINST TIME\": EVIDENCE FROM PEOPLE'S REPUBLIC OF CHINA","authors":"Z. Sarwar, Muhammad Asif Khan, A. Sarwar","doi":"10.51380/gujr-37-03-03","DOIUrl":"https://doi.org/10.51380/gujr-37-03-03","url":null,"abstract":"This article narrates that strategic leadership thinking and quick decision- making ability are vital to minimize the negative impact of COVID 19 on the public health and safety. Current outbreak poses serious need to develop a model for tackling the outbreak. The study also argues that the strategic management process and emergency decision-making provide direction to the leadership efforts in ensuring public health and enable scientific allocation of resources during the COVID 19 pandemic. The study presents the strategic management model of COVID 19 by integrating the strategic management process with emergency decision-making model. The study applies the model on People's Republic of China experience with COVID 19 and finds high applicability of proposed model. Moreover, the study argues that other countries can use proposed model to guard the public health and safety by defeating COVID 19. Deloped strategic management model posses a significant practical implications in the current scenarios, as COVID 19 is posing a threat to human race.","PeriodicalId":10896,"journal":{"name":"Day 1 Tue, September 21, 2021","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90003616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the study of stock investment in capital market by investors in Pandemic Covid-19, it is always carried out rationally. Indeed, the decisions on stock investments are not always rational.The main purpose of this research is to analyze the behavioral factors that affect the preferences of individual’s investors and fund managers in the emerging stock market, Pakistan Stock Exchange. The data of this research were collected through interviews semi structured with the five investor and five fund managers from the stock exchange from Pakistan. The researchers used thematic analysis for data interpretation. The major findings stress that retail investors are more effected by behavioral biases in comparison with fund managers. Further, the results shows that there are some major biases which are effecting both type of investors such as: Herding, Market, Prospect, Overconfidence- gambling errors and Anchoring-ability bias. This study fills a gap in literature on investor psychological response during pandemic epidemic. According to the report, policymakers should devise a strategy to combat COVID-19. To avoid future catastrophes, government should control the health-care budget.
{"title":"ASSESSMENT OF INDIVIDUAL AND INSTITUTIONAL INVESTOR’S INVESTMENT BEHAVIOR DURING COVID-19. A CASE OF EMERGING ECONOMY","authors":"Sybert Mutereko, A. Hussain, A. Sohail","doi":"10.51380/gujr-37-03-02","DOIUrl":"https://doi.org/10.51380/gujr-37-03-02","url":null,"abstract":"In the study of stock investment in capital market by investors in Pandemic Covid-19, it is always carried out rationally. Indeed, the decisions on stock investments are not always rational.The main purpose of this research is to analyze the behavioral factors that affect the preferences of individual’s investors and fund managers in the emerging stock market, Pakistan Stock Exchange. The data of this research were collected through interviews semi structured with the five investor and five fund managers from the stock exchange from Pakistan. The researchers used thematic analysis for data interpretation. The major findings stress that retail investors are more effected by behavioral biases in comparison with fund managers. Further, the results shows that there are some major biases which are effecting both type of investors such as: Herding, Market, Prospect, Overconfidence- gambling errors and Anchoring-ability bias. This study fills a gap in literature on investor psychological response during pandemic epidemic. According to the report, policymakers should devise a strategy to combat COVID-19. To avoid future catastrophes, government should control the health-care budget.","PeriodicalId":10896,"journal":{"name":"Day 1 Tue, September 21, 2021","volume":"32 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82273909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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