This editorial focuses on the relationship between nonalcoholic fatty pancreas disease(NAFPD)and the development and remission of type 2 diabetes(T2D).NAFPD is characterized by intrapancreatic fatty deposition associa...This editorial focuses on the relationship between nonalcoholic fatty pancreas disease(NAFPD)and the development and remission of type 2 diabetes(T2D).NAFPD is characterized by intrapancreatic fatty deposition associated with obesity and not associated with alcohol abuse,viral infections,and other factors.Ectopic fat deposition in the pancreas is associated with the development of T2D,and the underlying mechanism is lipotoxicβ-cell dysfunction.However,the results on the relationship between intrapancreatic fat deposition(IPFD)andβ-cell function are conflicting.Regardless of the therapeutic approach,weight loss improves IPFD,glycemia,andβ-cell function.Pancreatic imaging is valuable for clinically monitoring and evaluating the management of T2D.展开更多
βray online monitoring technique for resin content measurement has been developed, which is characterized by simple operation, short measuring time, and high measuring accuracy. It has been used to measure the resin ...βray online monitoring technique for resin content measurement has been developed, which is characterized by simple operation, short measuring time, and high measuring accuracy. It has been used to measure the resin content of pregreg tapes during manufacturing of them. This paper gives the measuring results. Meanwhile, the effects of the deviation of the βray monitoring system itself and the variation of the release paper on the measuring accuracy have been analyzed and discussed.展开更多
The amino acid composition and the biased auto-correlation function are considered as features, BP neural network algorithm is used to synthesize these features. The prediction accuracy of this method is verified by u...The amino acid composition and the biased auto-correlation function are considered as features, BP neural network algorithm is used to synthesize these features. The prediction accuracy of this method is verified by using the independent non-homologous protein database. It is shown that the average absolute errors for resubstitution test are 0.070 and 0.068 with the standard deviations 0.049 and 0.047 for the prediction of the content of α-helix and β-sheet respectively. For cross-validation test, the average absolute errors are 0.075 and 0.070 with the standard deviations 0.050 and 0.049 for the prediction of the content of α-helix and β-sheet respectively. Compared with the other methods currently available, the BP neural network method combined with the amino acid composition and the biased auto-correlation function features can effectively improve the prediction accuracy.展开更多
文摘This editorial focuses on the relationship between nonalcoholic fatty pancreas disease(NAFPD)and the development and remission of type 2 diabetes(T2D).NAFPD is characterized by intrapancreatic fatty deposition associated with obesity and not associated with alcohol abuse,viral infections,and other factors.Ectopic fat deposition in the pancreas is associated with the development of T2D,and the underlying mechanism is lipotoxicβ-cell dysfunction.However,the results on the relationship between intrapancreatic fat deposition(IPFD)andβ-cell function are conflicting.Regardless of the therapeutic approach,weight loss improves IPFD,glycemia,andβ-cell function.Pancreatic imaging is valuable for clinically monitoring and evaluating the management of T2D.
文摘βray online monitoring technique for resin content measurement has been developed, which is characterized by simple operation, short measuring time, and high measuring accuracy. It has been used to measure the resin content of pregreg tapes during manufacturing of them. This paper gives the measuring results. Meanwhile, the effects of the deviation of the βray monitoring system itself and the variation of the release paper on the measuring accuracy have been analyzed and discussed.
文摘The amino acid composition and the biased auto-correlation function are considered as features, BP neural network algorithm is used to synthesize these features. The prediction accuracy of this method is verified by using the independent non-homologous protein database. It is shown that the average absolute errors for resubstitution test are 0.070 and 0.068 with the standard deviations 0.049 and 0.047 for the prediction of the content of α-helix and β-sheet respectively. For cross-validation test, the average absolute errors are 0.075 and 0.070 with the standard deviations 0.050 and 0.049 for the prediction of the content of α-helix and β-sheet respectively. Compared with the other methods currently available, the BP neural network method combined with the amino acid composition and the biased auto-correlation function features can effectively improve the prediction accuracy.
