نتایج جستجو برای: data elements
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In the SAS DATA step, you can manipulate data by instructing SAS what to do. However, SAS understands only instructions given in its own tongue. The DATA step language (SAS DSL) is simple and powerful, its syntax is crisp and highly readable, and it is easy to learn. In this presentation, we will try to introduce the basics of speaking SAS. Just like in any language, a valid SAS phrase contain...
Introduction: Liver cirrhosis has grown significantly in Asian countries over the last few years. However, there is no tool for collecting liver cirrhosis data. The purpose of this study was to design a minimum data set for the self-care education of liver cirrhosis. Methods: This descriptive study was conducted in the first half of 2018 in cooperation with 16 liver specialists of Rasool Akram ...
Introduction: Liver cirrhosis has grown significantly in Asian countries over the last few years. However, there is no tool for collecting liver cirrhosis data. The purpose of this study was to design a minimum data set for the self-care education of liver cirrhosis. Methods: This descriptive study was conducted in the first half of 2018 in cooperation with 16 liver specialists of Rasool Akram ...
Open data ecosystems are expected to bring many advantages, such as stimulating citizen participation and innovation. However, scant attention has been given to what constitutes an open data ecosystem. The objective of this paper is to provide an overview of essential elements of open data ecosystems for enabling easy publication and use of open data. To achieve this objective, the literature h...
core data fields to include in all neurological registries in Canada. This project targeted neurological registries in Canada for all priority neurological conditions identified in the call for proposal including: Alzheimer’s disease (AD) and other dementias, amyotrophic lateral sclerosis (ALS), brain tumours, cerebral palsy (CP), dystonia, epilepsy, Huntington’s disease (HD), hydrocephalus, mu...
Identifying the most frequent elements in a data stream is a well known and difficult problem. Identifying the most frequent elements for each individual, especially in very large populations, is even harder. The use of fast and small memory footprint algorithms is paramount when the number of individuals is very large. In many situations such analysis needs to be performed and kept up to date ...
background orthopedic injuries are the most common types of injuries. to identify the main causes of injuries, collecting data in a standard manner at the national level are needed, which justifies necessity of making a minimum data set (mds). objectives the aim of this study was to develop an mds of the information management system for orthopedic injuries in iran. materials and methods this d...
We present three algorithms to count the number of distinct elements in a data stream to within a factor of 1 ± ǫ. Our algorithms improve upon known algorithms for this problem, and offer a spectrum of time/space tradeoffs.
With the rising use of optical communication in different commercial as well as military systems, the issue of optical data security becomes eminent. There are two approaches for dealing with this need: using known encoding methods from electronic communication or developing optical encoding methods. In the first approach, the encoding may be done electronically before converting the informatio...
Data Type: unsigned8 Data Type Semantics: identifier ElementId: 413 References: [IEEE802.1Q] Status: current Range: The valid range is 0-7. 3.2.7. dot1qCustomerSourceMacAddress Description: The value of the Encapsulated Customer Source Address (C-SA) portion of the Backbone Service Instance Tag (I-TAG) Tag Control Information (TCI) field of an Ethernet frame as described in [IEEE802.1Q]. Abstra...
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