Volume 10 | Issue 4

 Abstract

Diabetes mellitus and thyroid disorders are the most common endocrinopathies. Thyroid disorders are pathological states that can adversely affect glycemic control in diabetics and has the potential to affect their health. Hypothyroidism is found commonly in diabetes and is associated with advanced age, particularly in type 2 diabetes. The current study was a Comparative Cross-sectional and hospital-based study which was undertaken in the Outpatients and Inpatient Department of NMCTH, Birgunj, Parsa, Madhesh Province, Nepal. The study variables for the study were Fasting Blood sugar, postprandial blood sugar, HbA1C, fT3, fT4, TSH, Age, and Gender. We had enrolled two hundred and fifty participants, out of which 60% were male and 40% were female participants. In our population the pattern of thyroid status showed that euthyroidism predominated contributing 64.8%, followed by subclinical hypothyroidism (24%) and then primary hypothyroidism (11.2%). There was significant positive correlation with FBS, PPBS, HbA1C and TSH having correlation coefficient (0.23, 0.00), (0.20, 0.00), (0.16, 0.00) and (0.67, 0.00) respectively. There was a significant negative correlation with fT3 and fT4 having correlation coefficients (-0.32, 0.00) and (-0.28, 0.00) respectively. Our study revealed that subclinical and primary hypothyroidism may occur in the diabetic population. Once the diabetes is diagnosed the patients should be screened for the thyroid profile to diagnose the thyroid abnormalities mainly hypothyroidism. Diabetes mellitus and thyroid disorders are the most common endocrinopathies. Thyroid disorders are pathological states that can adversely affect glycemic control in diabetics and has the potential to affect their health. Hypothyroidism is found commonly in diabetes and is associated with advanced age, particularly in type 2 diabetes. The current study was a Comparative Cross-sectional and hospital-based study which was undertaken in the Outpatients and Inpatient Department of NMCTH, Birgunj, Parsa, Madhesh Province, Nepal. The study variables for the study were Fasting Blood sugar, postprandial blood sugar, HbA1C, fT3, fT4, TSH, Age, and Gender. We had enrolled two hundred and fifty participants, out of which 60% were male and 40% were female participants. In our population the pattern of thyroid status showed that euthyroidism predominated contributing 64.8%, followed by subclinical hypothyroidism (24%) and then primary hypothyroidism (11.2%). There was significant positive correlation with FBS, PPBS, HbA1C and TSH having correlation coefficient (0.23, 0.00), (0.20, 0.00), (0.16, 0.00) and (0.67, 0.00) respectively. There was a significant negative correlation with fT3 and fT4 having correlation coefficients (-0.32, 0.00) and (-0.28, 0.00) respectively. Our study revealed that subclinical and primary hypothyroidism may occur in the diabetic population. Once the diabetes is diagnosed the patients should be screened for the thyroid profile to diagnose the thyroid abnormalities mainly hypothyroidism.

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 Keywords

Diabetes mellitus, Hypothyroidism, Thyroid profile

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The present investigation was conducted in Raichur district of Karnataka state in the year 2019-20. Findings of this investigation reveal that independent variables viz. experience in cotton cultivation, social participation, extension contact, mass media exposure, cosmopolitans, scientific orientation, economic motivation, education, risk orientation and knowledge had positive and highly significant correlation with management efficiency of cotton growers.

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 Keywords

Characteristics, Cotton Growers, Management Efficiency

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Digitalisation , public sector banks

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Data Structure and Algorithm Visualizations, Algorithm Animation, E-Learning.

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Sepsis , Artificial Intelligence & Machine learning, Systemic Inflammatory Response Syndrome (SIRS),multiple organ damage

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Drones are being employed in our day-to-day lives as a result of their versatile applications. The main objective of this project to design and create a Pandemic Health Monitoring and Sanitizing System. Drones can be used to monitor and disinfect congested and dangerous places. This drone can detect temperature, recognize mask wearers and non-mask wearers, and disinfect the appropriate area. The use of a temperature pistol to monitor temperature is dangerous and ineffective and Hand-pump sanitization is a time-consuming and exhausting process. This health monitoring system will detect temperature without the need for a human interaction to solve this problem. The surface will be sanitized by the sanitizing system in the drone. The camera will take photographs of both mask wearers and non-mask wearers.

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Drone, Mask detection, temperature detection, sanitizing, non-contact.

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Management of cotton cultivation, Cotton grower, Constraints suggestion

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The Scheduled Tribe population represents one of the most economically impoverished and marginalized groups in India, with a population of more than 10.2crores. This constitutes 8.6 per cent of the total population of the country (Census of India, 2011). Tripura is one of state in India with population of 3673917. As per the Census India 2011, there are 31.76% Scheduled Tribe (ST) of total population in Tripura. There are so many problems of ST students in Tripura at Elementary Education. ST students dropout rate is high as compare to other tribes. Due to the weakness of socio-economy, they are daily facing so many problems. Education is the key element to improve their socio-economy. Aim of this study is to solve the various problems of ST students in Tripura at Elementary Education.

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ST, Elementary education, marginalized, socio-economy

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ABSTRACT Shopping is likely probably the most seasoned term used to discuss what we have all been doing throughout the long term. Web based shopping has turned into a well known shopping strategy since the time the web has pronounced a takeover. The expansion in innovation gives great open doors to the merchant to arrive at the client in a lot quicker, more straightforward and in financial way. Web based shopping is arising exceptionally quick lately. Many investigations have centered that the high touch items that the shopper feels when they need to contact, smell or attempt the item. It requires the disconnected shopping at the buying stage since it isn't possible in the internet shopping. This exploration paper centered to investigate the huge contrast between the on the web and disconnected shopper bunches as far as segment, innovation use, accessibility and disposition of the purchaser.

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Online shopping, offline shopping, comparison website, influencing factors.

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Mobile Forensics (MF) field uses prescribed scientific approaches with a focus on recovering Potential Digital Evidence (PDE) from mobile devices leveraging forensic techniques. Consequently, increased proliferation, mobile-based services, and the need for new requirements have led to the development of the MF field, which has in the recent past become an area of importance. In this article, the authors take a step to conduct a review on Mobile Forensics Investigation Process Models (MFIPMs) as a step towards uncovering the MF transitions as well as identifying open and future challenges. Based on the study conducted in this article, a review of the literature revealed that there are a few MFIPMs that are designed for solving certain mobile scenarios, with a variety of concepts, investigation processes, activities, and tasks. A total of 100 MFIPMs were reviewed, to present an inclusive and up-to-date background of MFIPMs. Also, this study proposes a Harmonized Mobile Forensic Investigation Process Model (HMFIPM) for the MF field to unify and structure whole redundant investigation processes of the MF field. The paper also goes the extra mile to discuss the state of the art of mobile forensic tools, open and future challenges from a generic standpoint. The results of this study find direct relevance to forensic practitioners and researchers who could leverage the comprehensiveness of the developed processes for investigation.

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Mobile forensics, investigation process model, digital forensics

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 Abstract

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Consumer, e-commerce, online, retailer, internet

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In this paper, implement a system that enables drivers to seek out parking slots online and reserve them. The drivers use this technique on their personal devices. It eliminates the drawbacks of existing systems just like the use of RFID, LED, and IR sensors. In this system, drivers can reserve the parking slot in a particular zone, checking the free slots and reserving them as per their requirements of the vehicle. Further, the QR code is generated that encodes the distinctive details of the user. QR code is used for encryption and to ease the method of authentication. Thus by using this technique it may be very useful to cut back the load on the driver as well as to reduce traffic on road and may be helpful to park the vehicle within the peak hours.

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Keywords-Smart Parking System (SPS), Radio Frequency Identification (RFID), Infrared Sensors (IR), GSM (Global System for Mobile communication), Infrared (IR) light, NarrowBand- Internet of Things (NB-IoT)

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Plato, Aristotle, Tennessee William, Imagination, falsehood, theory of form, The Glass Menagerie, illusion, memory, characters, setting.

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Corona Virus is a big and dynamic threat to us humans. Now, the whole world is trying to lessen the spread of Covid-19. Wearing masks in a proper way is one of the practices that helps to control the transmission of the virus according to the notable World Health Organization. However, to ensure that all people wear a facemask is a very gigantic task. To prevent the spread of illness, face masks must be used, and cells should be killed or eliminated utilising available therapies such as surgery, radiotherapy, chemotherapy, and others. 30,000 people die each year, according to estimates. Early detection procedures are critical in lowering the mortality rate. X-rays, MRIs, CT scans, ultrasounds, and other imaging techniques are utilised for this. In this research paper, we propose a very simple and effective model for real-time monitoring through the convolution neural of networks to detect if an individual wears a face mask or not. This model is trained, validated, tested upon two datasets. Corresponding to dataset the accuracy of the model was 95.77% and, it was 94.58% for dataset.

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Face mask, Convolution neural network, deep learning, TensorFlow.

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Woman play indispensable role in various spheres of her life.Without the woman, the family and, subsequently, the larger society, cannot function properly.This paper examines the struggles of the female gender in the light of the socio-cultural realities of the traditional kerala society from a feminist perspective.The main objectives of the study is to examine the contributions of women in the socio-economic development of kerala and to describe the role of women in the development of the state.The paper also indented to explore the role and emotions of women and also to discuss the role of women in society.

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Socio-economic development, Feminism, Role.

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Covid-19, pandemic, syndrome, strategies, treatment, Health

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At the present time, due to covid-19 situation it is risky to leave home for any purpose. As this disease spreads rapidly from people who are in close contact with the infected person. The precautions of this disease is to maintain social distance and avoid going to crowded places like Cinema hall, Malls, Market, etc. But it is very difficult to manage crowds from these places. In this paper, we design a new token system which is able to maintain crowds from crowded places. This technology can help to overcome this problem. This system helps us by allowing a limited number of people in supermarket by giving them a fixed time slot. In this we create a mobile app for users. After user login, if the user wants to do shopping first he has to search a supermarket. Before going to the supermarket the user has to book a slot online. Then check if a time slot is available in that supermarket or not. If a user wants to continue he has to proceed for a booking time slot. After the booking is done the system generates the barcode of that supermarket at that time for the user. Then the user has to visit the supermarket in a given time. User has to scan the barcode at the time of entering the supermarket and the timer of the user starts for shopping. User has to finish shopping before the time given to the user. If the user given time is less than 15 minutes, the user gets notification to hurry up. If a user does not complete shopping in a given time he has to pay a fine for taking extra time else he has no fine and user shopping completed. From this system we are able to maintain social distance possible on a better scale. The main aim of this system is to avoid crowds by giving a fixed time slot to customers and a system that integrates alert notification via SMS to be sent to customers at the counter on given time.

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Android, SQLyog, Spyder, Barcode Scanner, Reward Points

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Vehicle detection and counting are turning out to be progressively significant in the field of Highway management. In any case, because of the various sizes of vehicles, their identification stays a test that straight forwardly influences the exactness of vehicle counts. To resolve this issue, we propose a vehicle detection system and counting framework. In the proposed vehicle detection and counting system we uses Yolov3 for vehicle detection and counting of vehicles from still images that can detect, classify and count numerous vehicles from CCTV footage. This system is implemented in Google Colab and any recorded video of Vehicles is used to test it. The execution time is 5 minutes, with 99% accuracy.

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YOLOv3, CNN, Deep Learning, MAD Technique, R-CNN, Fast R-CNN.

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Traffic congestion is a serious problem in every city. Most of the time in traffic is spent waiting for the red signal to turn green. The changing of traffic light is hard coded and it does not depend on the traffic volume. The system we have created tries to minimize the possibility of traffic jams at a reasonable degree. In our system we have used the Arduino, Cameras and LED lights. Image processing is used to count the number of cars present on each road. Depending upon to the count of cars the signal timing will be varied and thus the amount of waiting time will be reduced. Hence, this system will minimize the traffic problem at a considerable level.

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Arduino, OV7670 Camera, LED, Traffic

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 Abstract

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Surveillance, Security, Intrusion, Wi-Fi, User, Notification

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