external data representation

External Data Representation（XDR）是一种用于在不同计算机或操作系统之间传输数据的标准数据编码格式。它是一种二进制协议，可以在网络上进行数据传输，并确保数据的互通性。

XDR定义了一种数据格式，该格式可以将数据表示为字节序列，并且可以在不同的计算机上使用相同的字节序列进行解释。这使得在不同操作系统之间传输数据变得更加容易，因为数据可以在传输之前进行编码，并且可以在接收方进行解码。

XDR数据通常用于网络应用程序中，例如在RPC（远程过程调用）中，客户端和服务器之间通过XDR编码的数据进行通信。XDR也可以用于其他应用程序，例如在文件系统中，用于存储和检索文件数据。

总的来说，XDR提供了一种跨平台的数据编码格式，使得不同操作系统和编程语言之间的数据交换变得更加容易和可靠。

相关问题

Compared with homogeneous network-based methods, het- erogeneous network-based treatment is closer to reality, due to the different kinds of entities with various kinds of relations [22– 24]. In recent years, knowledge graph (KG) has been utilized for data integration and federation [11, 17]. It allows the knowledge graph embedding (KGE) model to excel in the link prediction tasks [18, 19]. For example, Dai et al. provided a method using Wasser- stein adversarial autoencoder-based KGE, which can solve the problem of vanishing gradient on the discrete representation and exploit autoencoder to generate high-quality negative samples [20]. The SumGNN model proposed by Yu et al. succeeds in inte- grating external information of KG by combining high-quality fea- tures and multi-channel knowledge of the sub-graph [21]. Lin et al. proposed KGNN to predict DDI only based on triple facts of KG [66]. Although these methods have used KG information, only focusing on the triple facts or simple data fusion can limit performance and inductive capability [69]. Su et al. successively proposed two DDIs prediction methods [55, 56]. The first one is an end-to-end model called KG2ECapsule based on the biomedical knowledge graph (BKG), which can generate high-quality negative samples and make predictions through feature recursively propagating. Another one learns both drug attributes and triple facts based on attention to extract global representation and obtains good performance. However, these methods also have limited ability or ignore the merging of information from multiple perspectives. Apart from the above, the single perspective has many limitations, such as the need to ensure the integrity of related descriptions, just as network-based methods cannot process new nodes [65]. So, the methods only based on network are not inductive, causing limited generalization [69]. However, it can be alleviated by fully using the intrinsic property of the drug seen as local information, such as chemical structure (CS) [40]. And a handful of existing frameworks can effectively integrate multi-information without losing induction [69]. Thus, there is a necessity for us to propose an effective model to fully learn and fuse the local and global infor- mation for improving performance of DDI identification through multiple information complementing.是什么意思

这段文字讨论了异质网络方法相对于同质网络方法更接近现实的原因，并介绍了知识图谱和知识图谱嵌入模型在链接预测任务中的应用。作者提出了一些方法来解决多信息融合和归纳能力限制等问题，包括使用药物的局部信息如化学结构，以及利用多种信息来提高药物相互作用识别的性能。这段文字主要是关于药物相互作用预测领域的研究。

6. What is the State chart Diagram? Explain the following. a. Process b.Data Flows c. Actor d.Data Stores

State chart diagram is a graphical representation of the states and state transitions of a system. It describes the behavior of a system over time and helps to model the dynamic aspects of a system.

a. Process: A process is a set of activities that are performed to achieve a specific goal. In a state chart diagram, a process is represented by a rectangular box with rounded corners. It shows the steps involved in achieving the goal of the system.

b. Data Flows: Data flows are the movement of data from one part of the system to another. In a state chart diagram, data flows are shown as arrows with labels that represent the data being transferred. Data flows can be used to represent inputs, outputs, and intermediate data.

c. Actor: An actor is a person, organization, or system that interacts with the system being modeled. In a state chart diagram, an actor is represented by a stick figure. Actors can be used to represent users, other systems, or external entities that interact with the system.

d. Data Stores: A data store is a repository of data that is used by the system. In a state chart diagram, a data store is represented by a rectangle with two parallel lines at the top and bottom. Data stores can be used to represent databases, files, or other storage mechanisms used by the system.