Volume 10 | Issue 4 |

 Abstract

Background: Lumbarization of the first sacral vertebra refers to the segmentation and incorporation of this vertebra into the lumbar spine. Sacralization is the fusion between L5 and the first sacral segment. Aim: To Identification Sacralization of L5 and Lumbarization of S1 in Ls Spine in plain x-ray. Methods: Patients are divided into two groups according to sacralization and lumbarization . 120 patients 66 males and 54 females were divided into two groups on the basis of age and gender. Result: Out of 120 patient, 66 patient were men and 54 were women. Result shows that Lumbarization and Sacralization were found in age group of 20-40 years and they were mostly men. The rest patients have normal back pain and not found any deformity. Conclusion: It can be concluded that patient of group A age 20-40 years have higher risk of Lumbarization and Sacralization . A total no. of 120 patients in which 38 patients have Lumbarization, 13 patients have sacralization and rest is normal. In the study found that males have higher no. of Lumbarization and Sacralization compare with females.

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 Keywords

Sacralization, L5, S1, LS, Lumbarization, Spine, Radiography.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

COVID-19 pandemic has rapidly affected our day-to-day life disrupting the world trade and movements. Wearing a protective face mask has become a new normal. In the near future, many public service providers will ask the customers to wear masks correctly to avail of their services. Therefore, face mask detection has become a crucial task to help global society. The proposed method detects the face from the image correctly and then identifies if it has a mask on it or not. As a surveillance task performer, it can also detect a face along with a mask in motion.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

OpenCV = Open Computer Vision, CNN= Convolutional Neural Network

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Creative Commons Attribution 4.0 and The Open Definition

 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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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Characteristics, Cotton Growers, Management Efficiency

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Digitalisation , public sector banks

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Management of cotton cultivation, Cotton grower, Constraints suggestion

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ST, Elementary education, marginalized, socio-economy

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Creative Commons Attribution 4.0 and The Open Definition