Book Reviews by MD. M O S T A F I J U R RAHMAN
Moral relativism contends that moral truth is relative, whereas moral realism asserts that moral ... more Moral relativism contends that moral truth is relative, whereas moral realism asserts that moral truth is objective and opinion-independent. Disagreements about moral issues do not necessitate moral relativism. No, I do not believe that the fact that people disagree about what is morally right and wrong proves the truth of ethical relativism, as disagreement alone does not entail the absence of objective moral truths.
was a prominent Indian nationalist leader who was instrumental in India's war for independence fr... more was a prominent Indian nationalist leader who was instrumental in India's war for independence from British colonial rule. From a very young age, he began taking his life seriously and pondering his life. When he began to read about Swami Vivekananda, he entered a new period of his life and began to develop a rebellious disposition. During the age of playing sports, he thinking altering the globe and assisting others. In 1916, he got rusticated from college for nationalist and activities then in 1919, he went to England to prepare for the civil service(ICS) examination. In England, he saw that the situation was different from India. Here Indians are getting proper respect. Then he realized the importance of freedom and built the mindset to free India from the britishers.
After reading "oporichita," I became a huge fan of Rabindranath's works. So I have selected to re... more After reading "oporichita," I became a huge fan of Rabindranath's works. So I have selected to review "The Home and the World".The book is based on the real-life "Swadeshi Movement," which was instrumental in the establishment of modernday Bangladesh. This novel's protagonist possesses unique characteristics, including patriotism, cowardice, education, knowledge, and treachery. It offers an intriguing description of the circumstances that develop during movement. The novel follows the nationalist movements of today while focusing on the commercial difficulties the colonial powers had in India. He was a staunch advocate of individual liberty. Bimla, Sandip, and Nikhil are the three main characters in this book. These three characters represent their own characteristics. Nikhil is a well-educated, peace-loving guy who recognizes the importance of education and desires to educate his wife Bimla. Nikhil motivated Bimla, a lady who later became involved in the swadeshi movement, to get an education and join the fight for independence. After hearing Sandip's speech about the movement, she grew interested in it. Sandip thrived in his first position as a communicator and a leader. In contrast, he was portrayed as a liar, a phony, and a traitor at the climax. Two further characters are amulya and bara rani. Even while the story has a great deal of regional identity and is written in a style that may be considered extremely european, there are various reasons to detect the story's Romantic origins. Hence, to sum up, Rabindranath Tagore's writing is highly recommended. As I read this fascinating work of fiction, I am learning more about the background of the Swadeshi movement. Moreover, it is experiencing an amazing love story. I'm excited to read the entire book.
The constitution of a nation can explain a state, authority, or law. Constitution is like a count... more The constitution of a nation can explain a state, authority, or law. Constitution is like a country's identity card. The Bangladesh Constitution was ratified on December 16, 1972.
The novel "Home and the World" is written by Rabindranath Tagore and translated by Surendranath T... more The novel "Home and the World" is written by Rabindranath Tagore and translated by Surendranath Tagore.
Papers by MD. M O S T A F I J U R RAHMAN
Heatwaves, defined as prolonged periods of excessively hot weather, pose significant risks to hum... more Heatwaves, defined as prolonged periods of excessively hot weather, pose significant risks to human
health, agriculture, and the environment. With climate change intensifying, the frequency and severity
of heatwaves are expected to increase, underscoring the need for accurate prediction methods. Traditional
meteorological models have provided insights into heatwave occurrences; however, their limitations in
handling complex datasets necessitate the exploration of advanced techniques. Recently, machine learning (ML) has emerged as a powerful tool for heatwave prediction, leveraging large datasets and nonlinear
relationships among variables. This review aims to synthesize current research on ML techniques for
heatwave prediction, identify prevailing methodologies, discuss their limitations, and propose future
research directions.
Uploads
Book Reviews by MD. M O S T A F I J U R RAHMAN
Papers by MD. M O S T A F I J U R RAHMAN
health, agriculture, and the environment. With climate change intensifying, the frequency and severity
of heatwaves are expected to increase, underscoring the need for accurate prediction methods. Traditional
meteorological models have provided insights into heatwave occurrences; however, their limitations in
handling complex datasets necessitate the exploration of advanced techniques. Recently, machine learning (ML) has emerged as a powerful tool for heatwave prediction, leveraging large datasets and nonlinear
relationships among variables. This review aims to synthesize current research on ML techniques for
heatwave prediction, identify prevailing methodologies, discuss their limitations, and propose future
research directions.
health, agriculture, and the environment. With climate change intensifying, the frequency and severity
of heatwaves are expected to increase, underscoring the need for accurate prediction methods. Traditional
meteorological models have provided insights into heatwave occurrences; however, their limitations in
handling complex datasets necessitate the exploration of advanced techniques. Recently, machine learning (ML) has emerged as a powerful tool for heatwave prediction, leveraging large datasets and nonlinear
relationships among variables. This review aims to synthesize current research on ML techniques for
heatwave prediction, identify prevailing methodologies, discuss their limitations, and propose future
research directions.