| 1. |
- He, Chao, et al.
(författare)
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A clinical study of high-dose urokinase for the treatment of the patients with hypertension induced ventricular hemorrhage
- 2021
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Ingår i: Brain protection strategies and nanomedicine. - : Elsevier BV. - 9780323989275 ; , s. 349-355
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Bokkapitel (refereegranskat)abstract
- Objective: This study discusses the therapeutic effect of high-dose urokinase treatment for hypertension ventricular hemorrhage.Methods: A total of 60 patients with hypertension ventricular hemorrhage were randomly assigned to two groups: treatment group (n = 30)and control group (n = 30). Both groups received bilateral external ventricular drain. The treatment group was injected with 50,000 IU urokinase to the lateral ventricle every day; the total injection volume per day was 100,000 IU. The control group was injected with 20,000 IU urokinase to the lateral ventricle every day with a total injection volume per day of 40,000 IU. Lumbar puncture was performed in both groups after the later ventricular drain was removed to release cerebrospinal fluid (CSF). Head Computed tomography(CT) examination was performed regularly to observe changes in the ventricular hematoma as well as the occurrence of complications such as intracranial infection and hydrocephalus. Patient prognosis 6 weeks after surgery was compared between the two groups.Results: In the treatment group, the intraventricular hemorrhage clearance time and the number of instances of urokinase treatment were significantly less than those of the control group (P<0.05). The total urokinase dosage of the treatment group was significantly higher than that of the control group (P<0.05). With respect to post-surgery complications, in the treatment group, there were three cases of hydrocephalus and one case of intracranial infection. In the control group, there were four cases of hydrocephalus and three cases of intracranial infection. Intraventricular re-hemorrhage was not observed in either group. Intracranial infection was relieved after strengthened anti-infective therapy and continuous drainage. There was a statistically significant difference in the occurrence of complications between the treatment group and the control group (P<0.05). The rate of good prognosis in the treatment group was higher than that of the control group (P<0.05), and the inefficiency rate was lower (P<0.05).Conclusions: High-dose urokinase treatment produces a significant therapeutic effect in hypertension ventricular hemorrhage. This treatment can quickly eliminate intraventricular hemorrhage, shorten the ventricular drain tube indwelling time, decrease the occurrence of intracranial infection, and increase the likelihood of a good prognosis.
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| 2. |
- Wang, Sen, et al.
(författare)
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VNE-TD : a Virtual Network Embedding Algorithm Based on Temporal-Difference Learning
- 2019
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Ingår i: Computer Networks. - : Elsevier. - 1389-1286 .- 1872-7069. ; 161, s. 251-263
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Tidskriftsartikel (refereegranskat)abstract
- Recently, network virtualization is considered as a promising solution for the future Internet which can help to overcome the resistance of the current Internet to fundamental changes. The problem of embedding Virtual Networks (VN) in a Substrate Network (SN) is the main resource allocation challenge in network virtualization. The major challenge of the Virtual Network Embedding (VNE) problem lies in the contradiction between making online embedding decisions and pursuing a long-term objective. Most previous works resort to balancing the SN workload with various methods to deal with this contradiction. Rather than passive balancing, we try to overcome it by learning actively and making online decisions based on previous experiences. In this article, we model the VNE problem as Markov Decision Process (MDP) and develop a neural network to approximate the value function of VNE states. Further, a VNE algorithm based on Temporal-Difference Learning (one kind of Reinforcement Learning methods), named VNE-TD, is proposed. In VNE-TD, multiple embedding candidates of node-mapping are generated probabilistically, and TD Learning is involved to evaluate the long-run potential of each candidate. Extensive simulation results show that VNE-TD outperforms previous algorithms significantly in terms of both block ratio and revenue.
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| 3. |
- Xing, Yi, et al.
(författare)
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Integrated opposite charge grafting induced ionic-junction fiber
- 2023
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Ingår i: Nature Communications. - : NATURE PORTFOLIO. - 2041-1723. ; 14:1
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Tidskriftsartikel (refereegranskat)abstract
- The emergence of ionic-junction devices has attracted growing interests due to the potential of serving as signal transmission and translation media between electronic devices and biological systems using ions. Among them, fiber-shaped iontronics possesses a great advantage in implantable applications owing to the unique one-dimensional geometry. However, fabricating stable ionic-junction on curved surfaces remains a challenge. Here, we developed a polyelectrolyte based ionic-junction fiber via an integrated opposite charge grafting method capable of large-scale continuous fabrication. The ionic-junction fibers can be integrated into functions such as ionic diodes and ionic bipolar junction transistors, where rectification and switching of input signals are implemented. Moreover, synaptic functionality has also been demonstrated by utilizing the fiber memory capacitance. The connection between the ionic-junction fiber and sciatic nerves of the mouse simulating end-to-side anastomosis is further performed to realize effective nerve signal conduction, verifying the capability for next-generation artificial neural pathways in implantable bioelectronics. Ionic-junction devices are difficult to integrate with fiber-shaped tissues like nerves and muscles for applications in implantable bioelectronics due to their large size and bulk structure. Authors realize here easy to implant fiber-shaped iontronics through an integrated opposite charge grafting process, enabling the construction of ionic logic gates and artificial neural pathways.
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