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S M Nazmuz Sakib’s Toxic Comparative Theory The Mathematical Approach to Social Sciences

Author Name: S M Nazmuz Sakib | Format: Paperback | Genre : Reference & Study Guides | Other Details

S M Nazmuz Sakib’s Toxic Comparative Theory: The Mathematical Analysis of Sociology is a groundbreaking research book that explores the phenomenon of Sakibphobia,

The book is divided into several chapters. The first one introduces the concept of Sakibphobia and its historical and cultural origins. After that, the next writing discusses the psychological and social factors that contribute to the development and maintenance of Sakibphobia. The writing examines the behavioral and emotional consequences of Sakibphobia for individuals, such as reduced self-esteem, impaired performance, increased stress, and social isolation. The next writings analyzes the effects of Sakibphobia on social and economic outcomes, such as inequality, conflict, corruption, and innovation. The other writing presents a mathematical model of Sakibphobia based on game theory and decision theory. The model captures the strategic interactions and preferences of agents who suffer from or inflict Sakibphobia.

The book is intended for researchers, students, practitioners, and policymakers who are interested in understanding and addressing Sakibphobia in various social and cultural contexts. The book combines mathematical rigor with empirical relevance and offers a unique perspective on a timely and important topic. The book is also accessible to readers who are not familiar with advanced mathematics, as it provides intuitive explanations and examples throughout.

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S M Nazmuz Sakib

S M Nazmuz Sakib was born in Dinajpur, Bangladesh on the 16th of April in 2001. He achieved his Primary School Certificate (PSC) from Cotton Research Station School, Sreepur, Gazipur and after several months of studying Class 6 in Alhaz Dhanai Bepari Memorial High School, Sreepur, Gazipur, he relocated to Jashore. He accomplished his Junior School Certificate (JSC) from Jagodishpur Mirzapur Ismail Secondary School, Jagodishour, Chaowgacha, Jashore and his Secondary School Certificate (SSC) from A. K. High School And College, Dhania, Dhaka-1236. He obtained his Higher Secondary Certificate (HSC) from Chowgacha Government College, Chowgacha, Jashore. He received a BSc in Business Studies, earning a CGPA of 4 out of 4 (1st class 1st) with 97.06% marks from School of Business and Trade, an online business school situated in Switzerland. He completed an MBA in Human Resources from International MBA Institute, an online business institute in Switzerland. He studied Bachelor of Laws (Hon’s) or LLB(Hon's) at Dhaka International University, Dhaka, Bangladesh. He has accomplished CPD verified advanced diploma and diploma programs i.e. Advanced Diploma in Tissue Engineering, Advanced Diploma in Genetic Engineering - Theory and Application, Diploma in Fashion Design, Diploma in Nutrition, Therapeutics and Health, Diploma in Biology, Diploma in Pharmacy Technician, Software Test Engineer Diploma (Advanced), Advanced Diploma in Soil Science and Technology, Diploma in Audio System Engineering, Diploma in ISO Standards - Integrated Management System (IMS) etc.
As a multidisciplinary researcher, he has published several articles in the Asian Pacific Journal of Environment and Cancer, Waste Technology, and The IUP Journal of Electrical and Electronics Engineering. Several of his articles are published by Cambridge Open Engage, a publication of Cambridge University Press. Some of the titles of his published research works include "The Impact of Oil and Gas Development on the Landscape and Surface in Nigeria," "Assessing the Impact of Arctic Melting in the Predominantly Multilateral World System," "LiDAR Technology - An Overview," "Electrochemical Waste Water Treatment.". Published chapters i.e. “Chapter 3: Artificial Intelligence Model for Analyzing the Buying Patterns of Customers” and “Chapter 11: Restaurant Sales Prediction Using Machine Learning” of the book titled “Handbook of Research on AI and Machine Learning Applications in Customer Support and Analytics”.

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