Knowledge-Based Systems as Database Design Tools

2002 ◽  
pp. 43-71 ◽  
Author(s):  
W. Amber Lo ◽  
Joobin Choobineh
Keyword(s):  
Database Design ◽  
Practical Experience ◽  
Support Tool ◽  
Knowledge Based ◽  
Learning Techniques ◽  
Knowledge Intensive ◽  
Design Support Tool ◽  
Term Maintenance ◽  
Database Schemata

Database design process is a knowledge intensive task that requires expertise, practical experience, and judgment. It is not surprising, therefore, that over the last few years many research prototype database design expert systems have been reported in the literature. This paper is a survey of such tools. These tools are compared with respect to four major aspects: database design support, tool flexibility, expert system features, and implementation characteristics. This study reveals that, in general, there is lack of 1) support for all the phases of the design, 2) support for group database design, 3) graphic support, 4) empirical verification of effectiveness of the tools, 5) long-term maintenance of the tool and database schemata, and 6) specialized knowledge representation schemes, inference, and learning techniques.

Efficacious long-term maintenance therapy with pantoprazole (PAN) in patients with Zollinger-Ellison syndrome

2001 ◽  
Vol 120 (5) ◽  
pp. A613-A613
Author(s):  
P BORNMAN ◽  
K RADEBOLD ◽  
H DEBAERE ◽  
L VENTER ◽  
H HEINZE ◽  
...  
Keyword(s):  
Maintenance Therapy ◽  
Zollinger Ellison Syndrome ◽  
Term Maintenance

From Freezing to Investing: New Approaches to Monetary and Currency Policies

2008 ◽  
pp. 47-55
Author(s):  
A. Nekipelov ◽  
Yu. Goland
Keyword(s):  
Economic Policy ◽  
Property Rights ◽  
Main Idea ◽  
State Intervention ◽  
Economic Thought ◽  
Human Potential ◽  
Knowledge Based ◽  
Russian Economy ◽  
Knowledge Based Economy

The appeals to minimize state intervention in the Russian economy are counterproductive. However the excessive involvement of the state is fraught with the threat of building nomenclature capitalism. That is the main idea of the series of articles by prominent representatives of Russian economic thought who formulate their position on key elements of the long-term strategy of Russia’s development. The articles deal with such important issues as Russia’s economic policy, transition to knowledge-based economy, basic directions of monetary and structural policies, strengthening of property rights, development of human potential, foreign economic priorities of our state.

Possibilities and prospects in early orthopaedic rehabilitation of children with ectodermal dysplasia and congenital edentulism. clinical features and practical experience

2020 ◽  
pp. 40-50
Author(s):  
V.G. Galonsky ◽  
N.V. Tarasova ◽  
E.S. Surdo ◽  
A.V. Gradoboev
Keyword(s):  
Preschool Children ◽  
Clinical Features ◽  
Ectodermal Dysplasia ◽  
Dental Treatment ◽  
Practical Experience ◽  
Dental Clinic ◽  
Pedagogical Tools ◽  
Psychological Types ◽  
Clinical Cases

The article is devoted to the issue of early orthopaedic rehabilitation of youngest preschool children with ectodermal dysplasia and congenital edentulism. The essence and details of children’s psychophysiological development at this age are revealed, as well as main pedagogical tools making it possible to adapt the children to the specific environment of the dental clinic and motivate them for undergoing long-term multistage orthopaedic dental treatment. Clinical approaches and peculiarities in the dentist’s work with children of different psychological types as well as particular aspects in their adaptation to removable dentures are described. Two clinical cases of effective orthopaedic rehabilitation of 3-years-old children with ectodermal dysplasia and congenital edentulism using full removable lamellar dentures.

scholarly journals The Effect of Curcumin Supplementation on Anthropometric Measures among Overweight or Obese Adults

Nutrients ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 680
Author(s):  
Farah J. Alsharif ◽  
Yara A. Almuhtadi
Keyword(s):  
Primary Component ◽  
Obese Adults ◽  
Macronutrient Composition ◽  
Anthropometric Measures ◽  
Different Types ◽  
Prevalence Of Obesity ◽  
Dietary Spices ◽  
Multiple Health ◽  
Term Maintenance

Over the past decades, the worldwide prevalence of obesity has dramatically increased, thus posing a serious public health threat. Obesity is associated with the development of comorbid conditions and psychological disorders. Several lifestyle interventions have been proposed to tackle obesity; however, long-term maintenance of these interventions often proves challenging. In addition, among the different types of diets there is still a debate about the optimal macronutrient composition that will achieve the best results in weight loss. Recently, several commonly used spices such as pepper, ginger, and curcumin have been shown to play a beneficial role in obesity management. Therefore, exploring the effects of certain herbs or dietary spices on obesity may be promising. Among these spices, curcumin, which is the primary component of the spice turmeric, has gained great interest for its multiple health benefits. Several randomized controlled trials have investigated the potential favorable effects of curcumin supplementation on anthropometric measures. The aim of this review is to evaluate the effect of curcumin supplementation on the anthropometric indices among overweight or obese adults.

scholarly journals A Novel LSTM Model with Interaction Dual Attention for Radar Echo Extrapolation

2021 ◽  
Vol 13 (2) ◽  
pp. 164
Author(s):  
Chuyao Luo ◽  
Xutao Li ◽  
Yongliang Wen ◽  
Yunming Ye ◽  
Xiaofeng Zhang
Keyword(s):  
Short Term Memory ◽  
Weather Forecast ◽  
Vital Role ◽  
Data Sets ◽  
Short Term ◽  
Learning Techniques ◽  
Radar Echo ◽  
Hidden States ◽  
Better Than

The task of precipitation nowcasting is significant in the operational weather forecast. The radar echo map extrapolation plays a vital role in this task. Recently, deep learning techniques such as Convolutional Recurrent Neural Network (ConvRNN) models have been designed to solve the task. These models, albeit performing much better than conventional optical flow based approaches, suffer from a common problem of underestimating the high echo value parts. The drawback is fatal to precipitation nowcasting, as the parts often lead to heavy rains that may cause natural disasters. In this paper, we propose a novel interaction dual attention long short-term memory (IDA-LSTM) model to address the drawback. In the method, an interaction framework is developed for the ConvRNN unit to fully exploit the short-term context information by constructing a serial of coupled convolutions on the input and hidden states. Moreover, a dual attention mechanism on channels and positions is developed to recall the forgotten information in the long term. Comprehensive experiments have been conducted on CIKM AnalytiCup 2017 data sets, and the results show the effectiveness of the IDA-LSTM in addressing the underestimation drawback. The extrapolation performance of IDA-LSTM is superior to that of the state-of-the-art methods.

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