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Miftahur Rahman

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Fossil Fuels: The Facts & Concerns
About 87 percent of all human generated carbon dioxide (CO2) emissions come from the combustion or burning of fossil fuels like coal, natural gas and oil. Carbon dioxide emissions, largely by-products of energy production and use, account for the largest contributor of greenhouse gases, which are associated with global warming is measured in kt (kiloton) often calculated and reported as elemental carbon. This article will study and present each of these three fossil fuels separately to know about their reserve, production, consumption, price, and their corresponding CO2 emissions. The analyses will be carried out at the country and global levels to reveal and identify the potential contributors of the CO2 emissions and make recommendations to reduce the global temperature rise. Also, the impact of fossil fuels on climate change of our planet will be studied and presented. Furthermore, how global warming above 1.5oC threshold level is impacting the rise of sea level, creating extreme weather condition, biodiversity loss and species extinction, as well as food scarcity, worsening health and poverty for millions of people worldwide will be thoroughly investigated.
Gun Violence
Global and US homicide data analysis.
Monty Hall problem
The Monty Hall problem is a brain teaser, originated from the American television game show *Let's Make a Deal* and named after its original host, Monty Hall. It is basically a probability puzzle, originally posed (and solved) in a letter by Steve Selvin to the American Statistician in 1975. It became famous as a question from reader Craig F. Whitaker's letter quoted in Marilyn vos Savant's "Ask Marilyn" column in Parade magazine in 1990.
Monte Hall problem
The Monty Hall problem is a brain teaser, originated from the American television game show Let’s Make a Deal and named after its original host, Monty Hall. It is basically a probability puzzle, originally posed (and solved) in a letter by Steve Selvin to the American Statistician in 1975. It became famous as a question from reader Craig F. Whitaker’s letter quoted in Marilyn vos Savant’s “Ask Marilyn” column in Parade magazine in 1990.
Ethical and Moral Medical Practices
Medical practitioners, physicians, nurses have extremely difficult tasks in determining the course of action in determining the diseases and their respective treatments. At no circumstance a doctor or nurse decide to kill a patient due to the severity of patients or any other racially motivated issues or stigmas. Also, medical practitioners cannot give up and let the patient suicide to end her/his life because of any shortcomings and insurance policies. This is where our baseline ethical and moral fine line has to be drawn to distinguish between righteous and wrongdoers. An ailing patient in a death bed is helpless and what else she/he can do rather than trusting a doctor. A morally corrupt person cannot be given a task to be a medical practitioner simply her/his inability to distinguish between right and wrong. Some times medical practitioners and patients value system could be in direct conflict. In the most of the Abrahamic religions no person is allowed to commit suicide. Therefore it is not right to impose a death sentence to kill an ailing patient without letting her/him know her/his wish or conviction. It is absolutely unethical by medical practitioners to withheld or end treatment because of insurance and hospital financial budget.
IRays : COVID-19 Updates
IRays : COVID-19 Updates
COVID-19 Updates dashboard.
Orbital Mechanics-I
This article on Oribital Mechanics-I is written based on excerpts taken from “Chapter-13: Gravitaion” of my unpublished book on “The Fundamentals of Newtonian Mechanics”. This is basically a kind of review paper addressing the fundamental mathematical tools that are required to understand the orbital mechanics. It is intended to inspire my present and past students and professor colleagues who are interested to develop the next generation “Deep Space Communication and Exploration of Solar System through Inter-Lagrangian Data Relay Satellite Constellation”, which was presented by my students at iCubeSat 2019, the 8th Interplanetary CubeSat Workshop at the Politecnico di Milano, Milan, italy on 28-29 May 2019.
Meditation
Reflection (Tafakkur)
Movielens Capstone Project HarvardXDocument
The first capstone project of the HarvardX Data Science Professional Certificate Series is a recommendation system on MovieLens. A 10M MovieLens dataset was made available from GroupLens Research Lab to make the analysis. To apply the required machine learning algorithms the given movielens dataset was partitioned to create edx and validation sets. Two different algorithms were used on the edx set to predict movie ratings in the unknown validation set to find the RMSE for accuracy determination of the predictions. Penalized Least Squares and Matrix Factorization with Parallel Stochastic Gradient Descent (SGD) methods were used to find the RMSEs keeping the genres combined. RMSEs were also calculated with genres separated in both methods. The RMSE value with genres separated showed about 10% improvement over genres combined in the MF-SGD method but no such change happened in the Penalized Least Squares method. Therefore, without proper consideration of genre, optimal RMSE cannot be obtained.
Driving on an Icy Road
Winter in New England
"COVID-19 US Prediction"
In this study propagation pattern of the COVID19 pandemic in US is made using a widely used SIR model. A R-library is created to fetch the COVID19 data from JHU-CCSE to predict the propagation pattern over a period of 130 days starting from the first US reported death on February 29 upto the projected end sometime in the second week of July, 2020. In this analysis initial population, N is cosidered to be 20.23M which is the combined population of New York City (8.399M), Washington (7.615) and Oregon (4.218). We calculated the optimized parameter $\beta$ that controls the transition between S to I (susceptible (S) to infectious (I)) and $\gamma$ that controls the transition between I to R ( infectious (I) to recovered (R)) to be 0.6391959 and 0.4476751 respectively. Furthermore, we estimated the reproduction number of 1.43, and using the formula $1-\frac{1}{R_{0}} = 1 - \frac{1}{1.43} = 0.3007$, about 30.00% of the population of US which is about 99.30 million, need to be vaccinated to stop the pandemic in the future. Based on the available US data for the period of February 29 to May 9, the model preddicts what happens if the pandemic continues over a total time span of 130 days or longer. It is estimated from the analysis that peak infected case already happened around May 01, 2020, and the pandemic is expected to come back to the normal state sometime at the end of first week of July, 2020. This paper is based on the similar case study reported in [1] but adapted for US with modfifications with our own library and methods.