This study aimed to establish a reliable high-performance liquid chromatography(HPLC)method for determining Voriconazole concentrations in rat plasma,employing an internal standard approach to enhance accuracy.The pha...This study aimed to establish a reliable high-performance liquid chromatography(HPLC)method for determining Voriconazole concentrations in rat plasma,employing an internal standard approach to enhance accuracy.The pharmacokinetics of Voriconazole were also investigated.The method utilized Fluconazole as the internal standard,with gradient elution of a methanol-water mobile phase(0–2.5 min:50%methanol;2.5–4 min:50%–70%methanol;after 4 min:70%methanol).The analysis was performed at 30℃ with a flow rate of 1.0 mL/min,a detection wavelength of 254 nm,and a 20-μL injection volume.Following a single oral dose of Voriconazole(40 mg/kg),plasma concentrations were measured at various time points and analyzed using DAS2.0 software to calculate pharmacokinetic parameters.The method demonstrated excellent linearity(R^(2)=0.9992)over the concentration range of 0.2–40 mg/L.The extraction recoveries ranged from 85%to 115%,and intra-day and inter-day relative standard deviations(RSDs)were below 10%.Pharmacokinetic analysis revealed a distribution half-life of 69.315 min,an elimination half-life of 69.315 min,and an AUC0–t of 8040.73 min·mg/L after oral administration at 40 mg/kg.The proposed HPLC method was simple,rapid,and precise,making it suitable for pharmacokinetic studies of Voriconazole in rats.Furthermore,this method offered potential applicability for clinical batch detection of Voriconazole in blood samples.展开更多
In this paper, the authors investigate the synchronization of an array of linearly coupled identical dynamical systems with a delayed coupling. Here the coupling matrix can be asymmetric and reducible. Some criteria e...In this paper, the authors investigate the synchronization of an array of linearly coupled identical dynamical systems with a delayed coupling. Here the coupling matrix can be asymmetric and reducible. Some criteria ensuring delay-independent and delay- dependent global synchronization are derived respectively. It is shown that if the coupling delay is less than a positive threshold, then the coupled network will be synchronized. On the other hand, with the increase of coupling delay, the synchronization stability of the network will be restrained, even eventually de-synchronized.展开更多
The aim of this paper is to provide a sys- tematic review on the framework to analyze dynamics in recurrently connected neural networks with discontinu- ous right-hand sides with a focus on the authors＇ works in the ...The aim of this paper is to provide a sys- tematic review on the framework to analyze dynamics in recurrently connected neural networks with discontinu- ous right-hand sides with a focus on the authors＇ works in the past three years. The concept of the Filippov so- lution is employed to define the solution of the neural network systems by transforming them to differential in- clusions. The theory of viability provides a tool to study the existence and uniqueness of the solution and the Lya- punov function （functional） approach is used to investi- gate the global stability and synchronization. More pre- cisely, we prove that the diagonal-dominant conditions guarantee the existence, uniqueness, and stability of a general class of integro-differential equations with （al- most） periodic self-inhibitions, interconnection weights, inputs, and delays. This model is rather general and in- cludes the well-known Hopfield neural networks, Cohen- Grossberg neural networks, and cellular neural networks as special cases. We extend the absolute stability anal- ysis of gradient-like neural network model by relaxing the analytic constraints so that they can be employed to solve optimization problem with non-smooth cost func- tions. Furthermore, we study the global synchronization problem of a class of linearly coupled neural network with discontinuous right-hand sides.展开更多
文摘This study aimed to establish a reliable high-performance liquid chromatography(HPLC)method for determining Voriconazole concentrations in rat plasma,employing an internal standard approach to enhance accuracy.The pharmacokinetics of Voriconazole were also investigated.The method utilized Fluconazole as the internal standard,with gradient elution of a methanol-water mobile phase(0–2.5 min:50%methanol;2.5–4 min:50%–70%methanol;after 4 min:70%methanol).The analysis was performed at 30℃ with a flow rate of 1.0 mL/min,a detection wavelength of 254 nm,and a 20-μL injection volume.Following a single oral dose of Voriconazole(40 mg/kg),plasma concentrations were measured at various time points and analyzed using DAS2.0 software to calculate pharmacokinetic parameters.The method demonstrated excellent linearity(R^(2)=0.9992)over the concentration range of 0.2–40 mg/L.The extraction recoveries ranged from 85%to 115%,and intra-day and inter-day relative standard deviations(RSDs)were below 10%.Pharmacokinetic analysis revealed a distribution half-life of 69.315 min,an elimination half-life of 69.315 min,and an AUC0–t of 8040.73 min·mg/L after oral administration at 40 mg/kg.The proposed HPLC method was simple,rapid,and precise,making it suitable for pharmacokinetic studies of Voriconazole in rats.Furthermore,this method offered potential applicability for clinical batch detection of Voriconazole in blood samples.
基金Project supported by the National Natural Science Poundation of China(Nos.60574044,60774074)the Graduate Student Innovation Fonndation of Fudan University.
文摘In this paper, the authors investigate the synchronization of an array of linearly coupled identical dynamical systems with a delayed coupling. Here the coupling matrix can be asymmetric and reducible. Some criteria ensuring delay-independent and delay- dependent global synchronization are derived respectively. It is shown that if the coupling delay is less than a positive threshold, then the coupled network will be synchronized. On the other hand, with the increase of coupling delay, the synchronization stability of the network will be restrained, even eventually de-synchronized.
文摘The aim of this paper is to provide a sys- tematic review on the framework to analyze dynamics in recurrently connected neural networks with discontinu- ous right-hand sides with a focus on the authors＇ works in the past three years. The concept of the Filippov so- lution is employed to define the solution of the neural network systems by transforming them to differential in- clusions. The theory of viability provides a tool to study the existence and uniqueness of the solution and the Lya- punov function （functional） approach is used to investi- gate the global stability and synchronization. More pre- cisely, we prove that the diagonal-dominant conditions guarantee the existence, uniqueness, and stability of a general class of integro-differential equations with （al- most） periodic self-inhibitions, interconnection weights, inputs, and delays. This model is rather general and in- cludes the well-known Hopfield neural networks, Cohen- Grossberg neural networks, and cellular neural networks as special cases. We extend the absolute stability anal- ysis of gradient-like neural network model by relaxing the analytic constraints so that they can be employed to solve optimization problem with non-smooth cost func- tions. Furthermore, we study the global synchronization problem of a class of linearly coupled neural network with discontinuous right-hand sides.
