Volume 9 | Issue 2 |

 Abstract

The Corona virus disease 2019 (COVID-19) pandemic, which originated in Wuhan China, has had disastrous effects on the global community and has overburdened advanced healthcare systems throughout the world. Globally; over 4,063,525 confirmed cases and 282,244 deaths have been recorded as of 11th May 2020, according to the European Centre for Disease Prevention and Control agency. However, the current rapid and exponential rise in the number of patients has necessitated efficient and quick prediction of the possible outcome of an infected patient for appropriate treatment using AI techniques. This paper proposes a fine-tuned Random Forest model boosted by the Ada Boost algorithm. The model uses the COVID-19 patient's geographical, travel, health, and demographic data to predict the severity of the case and the possible outcome, recovery, or death. The model has an accuracy of 94% on the dataset used.

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 Keywords

Covid 19 prediction, Neural Network

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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

Communication, Mobile Instrument, Technology, Features, Kinds of Mobile

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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

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Creative Commons Attribution 4.0 and The Open Definition

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The study is aimed to understand whether the charting patterns (Japanese candlesticks and classical price patterns) work for the charts of smallcap and midcap companies. Also, whether charting patterns can be relied upon as a tool for technical analysis or not. The study takes into account various charting patterns (both, Japanese candlestick patterns and classical price patterns) and sees if they work for these companies as well. Systematic sampling was chosen and companies were categorised on the basis of their market capitalization. Three companies from both, midcap and smallcap categories were considered as the sample of the study. Upon analysis, it was found that the 16 patterns (11 Japanese candlestick patterns and 5 classical price patterns) existed in the sample considered for the purpose of study and those patterns had a success rate of 75% and the number of patterns so found were more in the smallcap companies than the midcap companies. Japanese Candlesticks had a success rate of 72%, whereas the classical price patterns had a success rate of 80%. If the patterns are observed correctly and a person enters (and exits) into trades timely, then he/she can reward himself tremendously with just little work and practice.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Technical Analysis, Stock Markets, Smallcap Companies, Midcap Companies, Reliability, Charting Patterns.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Arthritis is an auto immune disorder which can cause inflammation, tenderness, swelling, stiffness and pain at the site of joins that can worsen according to age. Pain (intermittent or sharp), swelling, flare, physical deformity, redness, fatigue, malaise, difficulty in walking, muscle weakness indicates arthritis. A reduction in the normal amount of cartilage tissue, when immune system attacks your own body causes arthritis. Usually these condition should be diagnosed with clinical symptoms, RF (rheumatoid factor), ANA (anti nuclear antibody), X-ray, CT scan, MRI. Arthritis can be treated with NSAIDS, Steroids, Analgesics, Immune suppressives, replacement surgeries and supportive measures.

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 Keywords

Calcaneo-cuboid, Talo-navicular,Triple-arthrodesis.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Affordability, accessibility, counterfeit, invention, IP protection

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

With the evolution and development of man and society, crime also grew in diverse forms and degrees. People were prone to do crime for certain reasons or needs. Crime was not something peculiar to Travancore. When we analyze history, we can find that there is no organized crime, nor even professional criminals. The commonest offences were those against the person, against property and those involving disputes regarding the possession of land with cases of smuggling and forgery. There are, both criminal and civil, crimes were happened. But there were any distinction in early days regarding the criminal and civil offences. In that time heinous offences were crime against the King, assemblies and the temples etc.

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trial, punishment, Travancore, ordeal

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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

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Key words: Attitude of parents, Inclusion in education.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Artificial Intelligence (AI) is the order of the day; there is no dimension of life (including organizational ecosystems) that has not been permeated by AI. While AI is making its mark in almost every role in an organization, it must critically examine its effect on the function of Human Resource (HR), especially as this is the most 'human' of all verticals in an organization. Undoubtedly, the method of discovering, recruiting, engaging, maintaining and cultivating talent is the cornerstone of organizations' good economic health. In processes such as talent screening, recruiting, engaging, re-engaging, employee relationships, on-boarding, etc., which used to consume many working hours in the past, AI-based systems currently allow HR automate a wide segment of routine activities, allowing the HR department to be more effective and focus on building compliant and regulatory policies. Talent Acquisition is one of the influential fields within the HR feature that affects AI, for which AI has been nothing short of a game changer - Talent Acquisition is at the height of the organizations' talent management lifecycle. This paper investigates the cascading effect of Artificially Intelligent Systems on organizational talent acquisition processes. It provides a deeper understanding of current AI frameworks and their ability to automate repetitive TA procedures to improve the effectiveness and efficiency of the operation. The paper documents the current, also extrapolating the future of Talent Development in AI assisted professional settings, through many case studies of existing AI programs in TA from around the world.

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 Keywords

Recruitment, Artificial Intelligence, Machine Learning, Talent Acquisition

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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

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Creative Commons Attribution 4.0 and The Open Definition