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Network pharmacology has become the new approach for drug mechanism research and novel drug design. Drug target prediction based on computational approach became one of the primary approaches. However, due to the diversity and complexity of herbal chemical structures, the performance of herb target prediction based on chemical structure similarity is limited by the quality and the data availability...
Named Data Networking (NDN) is a new Internet architecture that replaces today's focus on where - addresses and hosts - with what - the content that users and applications care about. One of NDN's prominent advantages is scalable and efficient content distribution due to its native support of caching and multicast in the network. However, at the last hop to wireless users, often the WiFi link, current...
Objective: This study aimed to explore the primary Chinese herbs and their combination regularity in treating human immunodeficiency virus (HIV)/ acquired immunodeficiency syndrome (AIDS) patients with different syndromes. Methods: Data of first visit of 1,788 HIV/AIDS patients from August 2004 to December 2010 in 11 pilot projects are extracted. The medication law is analysed with frequency analysis...
Reasonable and right decisions are the keys to the successful financing guarantee project, and the core of decision-making is the correct evaluation. The improved spectral clustering algorithm is used to build the financing guarantee project evaluation model, which can avoid the set of scale factor, and reduce the computational complexity of matrix eigenvalue decomposition. The financing guarantee...
In this paper we present a new use of a new kind of stochastic learning automaton called a Skinner automaton as a psychological model to formalize the theory of opérant conditioning. The animal opérant learning is identified with a thermodynamic process, and a so-called Skinner algorithm from Monte Carlo method and Metropolis algorithm as well as simulated annealing is derived. In this paper, the...
Treatment based on the syndrome differentiation is the key of Traditional Chinese Medicine (TCM) treating the disease of acquired immune deficiency syndrome (AIDS). Therefore, a feasible way of improving the clinical therapy effectiveness is to correctly explore the syndrome classifications. Recently, more and more AIDS researchers are focused on exploring the syndrome classifications. In this paper,...
Purpose: According to the theory of symptomatic treatment, to explore the characteristics of symptoms and the principles of TCM herbal treatment in HIV/AIDS population. Method: Extracting clinical case of HIV/AIDS for TCM herbal treatment gathered by pilot projects named the “National Free Treating HIV/AIDS with TCM Program” including 1695 patients with total 12,985 attendances from August 2004 to...
The high penetration of distributed energy resources (DERs) causes huge pressure on the operation and management. In this paper, the distribution network is divided into regions based on the sectionalizing switch position. Each region receives the optimization goal from global optimal power flow (OPF) algorithm. Regional optimization algorithm is based on the indicator of feeder control error (FCE)[1]...
Messages spreading inside vehicular ad hoc networks (VANETs) generally need to achieve the property of verifiability and content integrity, while preserving user privacy. Otherwise, VANETs will either fall into chaos, or prevent users from embracing it. To achieve this goal, we propose a protocol, which contains a priori and posteriori countermeasures, to guarantee these features. The a priori process...
The Internet of Things (IoT) has experienced a blooming development these years. Most of the current IoT applications are built in a highly vertical way, consisting of proprietary protocols and devices. This leads to the users bound in a single service provider, poor quality of service, redundancy of the core platform functionality and delay of the whole industry. IoT over IP brings the fundamental...
The centralized switching fabric is increasingly becoming the performance bottleneck of the routers due to the constraints of the port size and the complexity of scheduling algorithm. In order to address scalability problem, interconnection networks have been widely used to build distributed switching fabrics. P2i is an asymptotically minimal node-degree interconnection network which has an ideal...
Conventional multi-stage switches perform well in theory but degrade in application. The conventional traffic control to a flow corresponds to the destination module, so the flows destined to the same output module have bandwidth competition although they should not. The evaluation of conventional switches is only based on traffic patterns with these two features: the required bandwidth of all output...
Out-of-sequence (OOS) is a problem faced by most multistage Clos-network switches. One classical three-stage Clos-network switch structure is to use round-robin to achieve load balancing at the first stage, then switch stage by stage at the latter two stages, using SAR (segments and reassemble) which has to deal with OOS. To address this problem, we propose Frame-based Fair Round-robin (FFRR) for...
This paper provides a survey of data mining methods that have been commonly applied to real-world TCM clinical data in recent years, and sets forth the requirements of data mining on real-world TCM clinical diagnosis and treatment data, in order to provide reference for better analyzing the syndrome differentiation and treatment principle hidden in the massive TCM clinical data in the future.
Traditional Chinese Medicine (TCM) is a clinical medicine, which focuses on human physiology, pathology, diagnosis and treatment of diseases. Numerous clinical practice and theory research in the TCM field have accumulated huge amount of data. These data include TCM basic databases, TCM literature, as well as a large number of databases or data warehouse on TCM clinical diagnoses and treatment. More...
With the explosion increasing data in Internet, high performance scalable router has become a hot spot research area both in academe and industry recently. The underlying topology is a very important fold for scalable router. In this paper, we propose a new underlying topology of the scalable router, and name it Compressed 3D-Torus (C3D-Torus). It's more like the 3D-Torus, which is a famous architecture...
In order to make robots perceive and explain the scene, and plan its object grabbing and processing behavior, 3D information becomes increasingly important. For obtaining 3D expression of objects from the ToF camera data, this paper has carried a three-step process: a) data pre-processing, including the definition of neighborhood, the establishment of point cloud topology, and outliers removal; b)...
The objective of this research is to explore the spatial correlation between impervious surface, green space and urban heat island based on a case study of Nanjing, China. The Landsat TM image was used to retrieve land surface temperature. According to the impervious surface area (ISA) and the fractional vegetation cover (Fr) having an inversely relation in urban built-up areas, the spatial pattern...
In this paper, environment protection investment measurement of construction projects are discussed, aiming at providing decision support for estimating accurately on environment protection investment of construction projects. An example of highway construction project is settled to study the measurement and analysis technique of the whole life environmental investment benefit. Admittedly, the CS...
Rolling moment is a main design basis of rolling mills. The coefficient of moment arm is an important parameter for calculating rolling moment. It has significant influence on the calculating results. There are many factors that have much influence on the coefficient of moment arm in which tension is a significant one, but the influence of tension on the coefficient of moment arm is still a pendent...
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