Volume 10 | Issue 4

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Work Life Balance, Covid-19, Women, Remote Work

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Many sports may need a tactical assessment, movement analysis, video, and statistical database and modeling, and coach and player data presentations. Large amounts of data were collected in the world of cricket. The data requires to be analyzed for useful insights. Cricket analytic is an ideal market for acquiring innovative players. The Cricket Analysis and Prediction using Machine learning will make use of different machine learning techniques. Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy. Predictions like who would be the winner, what would be a score, or which player has the same skills as other players will be made using the Machine learning model. The proposed system will be developed using the Python programming language. Django framework will be used. The Ml learning model will be built and trained using Sklearn and Tensorflow

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 Keywords

Machine Learning, Supervised learning, Analytic, Cricket.

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Keywords: Perceived usefulness of online teaching-learning, Attitude towards online learning, student teachers.

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Increasing thirst for novel new sources of energy is unquenchable, but we seldom realize that we are wasting a component of the power everyday because of the lagging power factor in the inductive loads we use.Hence necessity arises to provide energy to load at its full potential without the wastage of power so as to achieve such, we have to improve power factor which occurs because of phase shift between voltage and current.To minimize harmonic contamination in power system and reduce transmission loss, power factor correction became an essential topic. Many control methods for Power Factor Correction (PFC) were proposed. This paper describes the layout and development of a one-phase power factor corrector using PIC (Programmable Interface Circuit) micro- controlling chip unit, after determining their zero crossing locations of load voltage and current waveforms. Capacitive banks are used for the compensation of power factor according to the load connected which is determined based on microcontroller based algorithm. Then using desired algorithm in determining and triggering switching capacitors in order to compensate excessive reactive components, thus withdraw PF about unity; as a result, acquires higher efficiency and better-quality AC output

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Introduction, proposed topology,circuit design,working,conclusion,references

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 Abstract

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Population,Green Energy,National Solar Energy Mission,Air Pollution, Carbon Emission Fuels, Fire Wood, Non-renewable Resources

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About student grade prediction using machine learning algorithm for students who wants to know their grade based on their previous exam results and their activities.

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Machine learning algorithms, web development tools like html, JavaScript, etc , python , pycharm tools , excel dataset

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 Abstract

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Hill State, Decreasing, Agriculture land, surviving for employment, irrigated & unirrigated land

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There are some locations where humans find it difficult to reach for inspection; for example, a minor leak in an engine may be practically impossible to detect with the naked eye, but such minor faults will result in significant air accidents. We need to increase the quality of repair and inspection to reduce such errors. Humans may become tired and complacent over time, while robots do not. We may be able to have a better examination with a higher rate of accuracy if we use robots. As a result, we've presented a new concept for aircraft robot inspection that could serve as a second layer of inspection. Our research has the potential to drastically reduce the amount of negligence that occurs. With this study, we hope to make significant advancements in airplane inspection. These robots can also be used in pipeline inspections because they are equipped with a night vision camera that allows them to send video even when there is no light source inside, detect gas leaks, and determine the temperature of a given location.

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Inspection, Aircraft, Pipeline, Robot, temperature, night vision, gas detection

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Cooperative Banking, Finance, Rural Economy, PACS

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

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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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OpenCV = Open Computer Vision, CNN= Convolutional Neural Network

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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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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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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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Creative Commons Attribution 4.0 and The Open Definition

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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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