The levels of soluble, structural and total proteins, and the activities of AlAT and AAT decreased along with an increase in the levels of free amino acids and the activity of protease in the ctenidium, hepatopancreas...The levels of soluble, structural and total proteins, and the activities of AlAT and AAT decreased along with an increase in the levels of free amino acids and the activity of protease in the ctenidium, hepatopancreas and foot of the freshwater mussel L. marginalis after 1,2,3 and 4 d of exposure to a lethal concentration (115 mg.L-1) of nickel. But the activity of GDH and the level of urea decreased in the hepatopancreas and increased in the ctenidium and foot. A reverse trend was observed in the level of ammonia. In a sublethal concentration (23 mg.L-1), the levels of soluble, structural and total proteins and ammonia decreased in these three organs of the mussel after 1, 5, 10 and 15 d of exposures, with an increase in the levels.of free aminoacids, urea and in the activities of protease, Al AT, AAT and ODH. The extent of these changes differed in degree depending on exposure period in the lethal and sublethal concentrations. The results are discussed in order to arrive at the degree of metal stress on the overall nitrogen metabolism of the mussel according to the period of exposure to lethal and sublethal concentrations of nickel.展开更多
As per World Health Organization report which was released in the year of 2019,Diabetes claimed the lives of approximately 1.5 million individuals globally in 2019 and around 450 million people are affected by diabete...As per World Health Organization report which was released in the year of 2019,Diabetes claimed the lives of approximately 1.5 million individuals globally in 2019 and around 450 million people are affected by diabetes all over the world.Hence it is inferred that diabetes is rampant across the world with the majority of the world population being affected by it.Among the diabetics,it can be observed that a large number of people had failed to identify their disease in the initial stage itself and hence the disease level moved from Type-1 to Type-2.To avoid this situation,we propose a new fuzzy logic based neural classifier for early detection of diabetes.A set of new neuro-fuzzy rules is introduced with time constraints that are applied for thefirst level classification.These levels are further refined by using the Fuzzy Cognitive Maps(FCM)with time intervals for making thefinal decision over the classification process.The main objective of this proposed model is to detect the diabetes level based on the time.Also,the set of neuro-fuzzy rules are used for selecting the most contributing values over the decision-making process in diabetes prediction.The proposed model proved its efficiency in performance after experiments conducted not only from the repository but also by using the standard diabetic detection models that are available in the market.展开更多
文摘The levels of soluble, structural and total proteins, and the activities of AlAT and AAT decreased along with an increase in the levels of free amino acids and the activity of protease in the ctenidium, hepatopancreas and foot of the freshwater mussel L. marginalis after 1,2,3 and 4 d of exposure to a lethal concentration (115 mg.L-1) of nickel. But the activity of GDH and the level of urea decreased in the hepatopancreas and increased in the ctenidium and foot. A reverse trend was observed in the level of ammonia. In a sublethal concentration (23 mg.L-1), the levels of soluble, structural and total proteins and ammonia decreased in these three organs of the mussel after 1, 5, 10 and 15 d of exposures, with an increase in the levels.of free aminoacids, urea and in the activities of protease, Al AT, AAT and ODH. The extent of these changes differed in degree depending on exposure period in the lethal and sublethal concentrations. The results are discussed in order to arrive at the degree of metal stress on the overall nitrogen metabolism of the mussel according to the period of exposure to lethal and sublethal concentrations of nickel.
文摘As per World Health Organization report which was released in the year of 2019,Diabetes claimed the lives of approximately 1.5 million individuals globally in 2019 and around 450 million people are affected by diabetes all over the world.Hence it is inferred that diabetes is rampant across the world with the majority of the world population being affected by it.Among the diabetics,it can be observed that a large number of people had failed to identify their disease in the initial stage itself and hence the disease level moved from Type-1 to Type-2.To avoid this situation,we propose a new fuzzy logic based neural classifier for early detection of diabetes.A set of new neuro-fuzzy rules is introduced with time constraints that are applied for thefirst level classification.These levels are further refined by using the Fuzzy Cognitive Maps(FCM)with time intervals for making thefinal decision over the classification process.The main objective of this proposed model is to detect the diabetes level based on the time.Also,the set of neuro-fuzzy rules are used for selecting the most contributing values over the decision-making process in diabetes prediction.The proposed model proved its efficiency in performance after experiments conducted not only from the repository but also by using the standard diabetic detection models that are available in the market.
