Tamal Mondal
Hiralal Mazumdar Memorial College For Women, Botany, Faculty Member
- Department of Botany and Biotechnology, Mycorrhiza, Arbuscular mycorrhizal fungi, Medicinal Plants, Botany, Ethnobotany, and 24 moreNatural Products, Public Health, Biology, Mycorrhizal Research, Plant Science, Medicinal Plants, Traditional Knowledge, Traditional Knowledge and Intellectual Property Rights, Intellectual Property, Medicinal mushrooms, Mycology, Vegetation Ecology, Conservation Biology, Biodiversity Research, Landscape and Land-use-history, Forest Ecology, Alpine and Arctic Research, Landscape Ecology, Ecology, Plant Pathology, History of Botany, Ethno Veterinary medicine, Biotechnology, Climate Change, and Environmental Sustainabilityedit
- plant biologist by passion...........................edit
Research Interests:
Research Interests:
Aloe vera is a well known traditional medicinal plant cultivated throughout the world for different medicinal and commercial purpose. The plant Aloe is used for curing several diseases mainly connected with digestive system. The present... more
Aloe vera is a well known traditional medicinal plant cultivated throughout the world for different medicinal and commercial purpose. The plant Aloe is used for curing several diseases mainly connected with digestive system. The present study is the assessment of vesicular-arbuscular mycorrhizal root colonization in two different districts, one from the hill area and another from land. They show around 95.5% root colonization in both areas averagely. In the root both vesicles and arbuscules were observed and spores are abundant from the both rhizospheric soil sample. Both the rhizospheric soils were dominated by Glomus species.
Research Interests:
The history of data stored can be used to forecast potential patterns and help companies make competitive decisions to increase their success and benefits. Many analysts look at healthcare sector data to identify and forecast illnesses in... more
The history of data stored can be used to forecast potential patterns and help companies make competitive decisions to increase their success and benefits. Many analysts look at healthcare sector data to identify and forecast illnesses in order to benefit patients and physicians in a variety of ways. This study is concerned with the diagnosis and estimation of heart disease. Heart disease is one of the most dangerous illnesses for humans, leading to death all over the world. Many different groups of researchers have used knowledge exploration methods in diverse fields to forecast heart disease and have shown acceptable degrees of precision. There were no real-time methods for analyzing and forecasting heart disease in its early stages. For the prediction of heart disease, decision trees are used to analyze various training and evaluation datasets. Classification algorithms such as Naive Bayes, ID3, C4.5, and SVM are being investigated. The UCI machinery heart disease data set is use...
Research Interests:
The history of data stored can be used to forecast potential patterns and help companies make competitive decisions to increase their success and benefits. Many analysts look at healthcare sector data to identify and forecast illnesses in... more
The history of data stored can be used to forecast potential patterns and help companies make competitive decisions to increase their success and benefits. Many analysts look at healthcare sector data to identify and forecast illnesses in order to benefit patients and physicians in a variety of ways. This study is concerned with the diagnosis and estimation of heart disease. Heart disease is one of the most dangerous illnesses for humans, leading to death all over the world. Many different groups of researchers have used knowledge exploration methods in diverse fields to forecast heart disease and have shown acceptable degrees of precision. There were no real-time methods for analyzing and forecasting heart disease in its early stages. For the prediction of heart disease, decision trees are used to analyze various training and evaluation datasets. Classification algorithms such as Naive Bayes, ID3, C4.5, and SVM are being investigated. The UCI machinery heart disease data set is use...
Research Interests:
In recent years, a slew of mobile medical APPs have appeared in China, allowing for more interactions between patients and doctors. It facilitates the exchange of medical information and services in a more timely and convenient manner.... more
In recent years, a slew of mobile medical APPs have appeared in China, allowing for more interactions between patients and doctors. It facilitates the exchange of medical information and services in a more timely and convenient manner. Despite various disadvantages, mobile medical applications increase patient medical experience, doctor-patient relationships, the doctor's self-price value, and contain a significant economic value. The medical pattern will be drastically transformed in the future, especially for outpatients , as laws and regulations improve, market competition increases, and technology advances.
Research Interests:
Nanobiotechnology is now an integral part of our daily life. Day by day with sophisticated research on nanotechnology and its applications in food supplements are enriched. Microorganisms like virus, bacteria and fungi are used... more
Nanobiotechnology is now an integral part of our daily life. Day by day with sophisticated research on nanotechnology and its applications in food supplements are enriched. Microorganisms like virus, bacteria and fungi are used successfully for the synthesis of nanomaterials as well as nanoparticles for their better efficiency. Biopolymers obtained from biological organisms were used successfully for the preparation of nutraceuticals. The search for these type of polymers obtained from biological sources continues for their tremendous potentiality in bio-based nutraceuticles. Natural biopolymers works effectively as nanoparticle in now a day's neutraceuticals. It has been found that inorganic nanoparticles now can be produced by various microorganisms via intracellular or extracellular routes. Nanoparticle biosynthesis research is very attractive because of its simplicity, cost effectiveness and eco-friendliness.
Research Interests:
This study and survey was aimed to find out the ethno-medicinal plants of Ghatal Block of West Midnapur District, West Bengal, India, which are used to treat the various diseases and disorders. In the present study, 21 medicinal plants... more
This study and survey was aimed to find out the ethno-medicinal plants of Ghatal Block of West Midnapur District, West Bengal, India, which are used to treat the various diseases and disorders. In the present study, 21 medicinal plants belonging to 19 families used as ethno-medicines have been identified. According to this study, identification of the ethno-medicinal plants and associated indigenous knowledge can be used for conservation and sustainable use of medicinal plants in the area and for effective medicinal uses of human beings.
Research Interests:
Medicinal plants are associated with the local heritage all over the World. These plants are used as traditional medicines for human healthcare. This practice is very common among the local peoples of Bangaon Subdivision,North 24... more
Medicinal plants are associated with the local heritage all over the World. These plants are used as traditional medicines for human healthcare. This practice is very common among the local peoples of Bangaon Subdivision,North 24 Paraganas District of West Bengal.Ethno-botanical study as well as taxonomic documentation of medicinal plants now a days are very important tool for the protection of intellectual property right (IPR).In this field survey, information was collected from traditional practitioners of that area and documentation was made from this. It is found that 31 plants belonging to 26 families and their herbal preparation are used as potent medicine to treat various disease and disorders of common peoples.