Excessive daytime sleepiness (EDS) is classified as a neurofunctional disorder that manifests as uncontrolled sleeping propensity in the daytime. Currently, consistent and effective therapeutic approaches for EDS are lacking. Stellate ganglion block (SGB) has a clear effect in various complicated pain syndromes, vascular insufficiency, hyperhidrosis, and posttraumatic stress syndrome. We report an EDS case that involved a patient who recovered after several sessions of SGB.
An unreasonable allocation of resources has led to a low rate of output in the industry–university–research collaboration network. A solution to this problem is to control and predict the input and output. However, the network has the characteristics of strong nonlinearity and insufficient samples. It is difficult for the existing control methods to migrate to collaboration networks because the traditional control methods, including Proportional–Integral–Derivative (PID) control and Model Predictive Control (MPC), are usually not applied to the system with strong nonlinearity and the controlled system needs to have specific parameters, while the modern control methods, including feedforward control and feedback control, have their limitations in both parameters and other aspects. In addition, there is a lack of research on the control and output prediction of collaboration networks, and there is no effective and applicable scheme for the control and prediction. Considering the nonlinearity and insufficient samples of the collaboration network, a Feedforward Control–Feedback Control Model based on the Multi-Layer Perceptron (FCFCM-MLP) is proposed in this paper. Adopting the controller structure of the Grid Search-Multilayer Perceptron (GS-MLP), a control block diagram, a feedforward controller, a feedback controller, and prediction methods such as Harris Hawk Optimization-Support Vector Regression (HHO-SVR) are designed for the FCFCM-MLP, which effectively realizes the feedforward control, feedback control, and prediction of inputs and outputs. In this paper, simulation tests on output-feedback tracking control are conducted with real statistics of papers jointly produced by the industry–university–research collaboration network in the construction industry. The results show that the proposed model has obvious effectiveness. Specifically, compared with the model composed of other controller structures and prediction methods, the optimal model Particle Dynamic Multiple Perturbation_Butterfly Optimization Algorithm-Support Vector Regression_Grid Search-Multi-Layer Perceptron (PDM_BOA-SVR_GS-MLP) obtained in this paper can minimize the predictive control error and effectively improve the control accuracy.
With the development of the computer technology and international specialization, a growing number of companies consider outsourcing as an effective method to improve the operation environment, reduce the cost, and enhance the efficiency. Despite of the many advantages comes with it, the risk in the outsourcing process should not be overlooked-for instance, the risk of invisible transactional cost escalation and unsatisfactory services from incompetent outsourcing suppliers. In this paper we propose a risk analysis model, which is based on factor analysis, for the ITO's in China. This model is also proven to be feasible and practical through an empirical analysis.
An effective replica management method can save bandwidth, reduce latency, balance load, and improve system reliability. A comprehensive scheme is introduced to manage replica for the grid environment. The schemes of replica creation and placement based on the frequency of visits and storage space, replica replacement based on the replica value, and replica selection based on comprehensive performance are proposed. Our scheme can achieve optimization of data distribution and replication, improve the efficiency of data visits in the grid environment
To deal with the data security problems in the storage system for the E-government intranet, an integrated data security defense system, which incorporates information isolation, access control, virus detection, content filtering, real time backup and rapid information retrieval, has been designed and implemented. The result on trial displays that this system can ensure the data security of storage system for E-government intranet, with few side effects on the I/O performance of the network.
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