Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
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Rice mill workers can be considered as the lifeline to maintain the country’s food security. More than half of them were female. However, a few studies focused on socioeconomic conditions and well-being of rice mill workers. The present study aimed to assess the social well-being of female rice mill workers in Bangladesh and socio-economic factors affecting it. The data were collected from a sample of 398 female rice mill workers (age mean = 31.82 years, SD = 8.39 years) who were selected through mixed sampling method. The data were collected using face-to-face interview with a structured questionnaire. The questionnaire included questions about personal information, education, income, living environment, health, violence, belongingness, equality, working environment, and social well-being. Results showed that there was a lower household income, a lower standard of living environment, lack of health and recreational facilities, unhealthy working environment, and a lower social well-being of female rice mill workers.
Md. Arif Uddin Khan. 2026. \u201cThe Social Well-Being Status of Female Rice Mill Workers in Bangladesh: An Empirical Study\u201d. Unknown Journal GJHSS-C Volume 24 (GJHSS Volume 24 Issue C6): .
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Neural Networks and Rules-based Systems used to Find Rational and
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Rice mill workers can be considered as the lifeline to maintain the country’s food security. More than half of them were female. However, a few studies focused on socioeconomic conditions and well-being of rice mill workers. The present study aimed to assess the social well-being of female rice mill workers in Bangladesh and socio-economic factors affecting it. The data were collected from a sample of 398 female rice mill workers (age mean = 31.82 years, SD = 8.39 years) who were selected through mixed sampling method. The data were collected using face-to-face interview with a structured questionnaire. The questionnaire included questions about personal information, education, income, living environment, health, violence, belongingness, equality, working environment, and social well-being. Results showed that there was a lower household income, a lower standard of living environment, lack of health and recreational facilities, unhealthy working environment, and a lower social well-being of female rice mill workers.
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