Network Database Language (NDL)

Author(s):  
E. J. Yannakoudakis ◽  
C. P. Cheng
1999 ◽  
Vol 08 (01) ◽  
pp. 47-82 ◽  
Author(s):  
JOSEPH FONG ◽  
SHI-MING HUANG

RDB has been dominant in the industry for the last decade. OODB is recongnized as a post-relational technology that can improve productivity, Hierarchical Database and Network Database were popular in the 1970s, and have been developed into legacy database systems. The DBMS of various data models have proliferated into many companies, and become their important assets. There is a need to integrate these database system into a data warehouse in the company. We investigate a solution to the problem by offering an architecture of a universal database for the connectivity of various DBMSs using different data models. A frame model is chosen to represent the conceptual and logical schema of the universal database, which structures an application domain into classes organized via generalization, aggregaton and user-defined relationships, and its data in relational tables. The schemas of the existing database systems are translated into frame model conceptual shcemas which are integrated into a global frame model in a knowledge representation that includes classes for object structure descriptions and constraints for supporting user-defined relationships. The universal database is implemented by a relational DBMS as a kernel. In addition to relational tables, the universal database consists of program area to emulate database navigation in nonrelatoinal DBMS, method classes to implement program calls to emulate methods of OODBMS, and contraint classes to preserve semantic and resolve naming conflicts in schema translation and integration. To ensure each database program access the universal database, a database gateway for each source DBMS is developed to translate their DML into SQL, which is chosen to be its kernel database language, for its user-friendliness, standardization and popularity in the industry.


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
K Watanabe ◽  
H Yoshino ◽  
T Takahashi ◽  
M Usui ◽  
K Akutsu ◽  
...  

Abstract   Both acute aortic dissection (AAD) and acute myocardial infarction (AMI) present with chest pain and are life-threatening diseases that require early diagnosis and treatment for better clinical outcome. However, two critical diseases in the very acute phase are sometimes difficult to differentiate, especially prior to arrival at the hospital for urgent diagnosis and selection of specific treatment. The aim of our study was to clarify the diagnostic markers acquired from the information gathered from medical history taking and physical examination for discriminating AAD from AMI by using data from the Tokyo Cardiovascular Care Unit (CCU) Network database. We examined the clinical features and laboratory data of patients with AAD and AMI who were admitted to the hospital in Tokyo between January 2013 and December 2015 by using the Tokyo CCU Network database. The Tokyo CCU Network consists of >60 hospitals that fulfil certain clinical criteria and receive patients from ambulance units coordinated by the Tokyo Fire Department. Of 15,061 patients diagnosed as having AAD and AMI, 3,195 with chest pain within 2 hours after symptom onset (537 AAD and 2,658 AMI) were examined. The patients with out-of-hospital cardiac arrest were excluded. We compared the clinical data of the patients with chest pain who were diagnosed as having AAD and AMI. The following indicators were more frequent or had higher values among those with AAD: female sex (38% vs. 20%, P<0.001), systolic blood pressures (SBPs) at the time of first contact by the emergency crew (142 mmHg vs. 127 mmHg), back pain in addition to chest pain (54% vs. 5%, P<0.001), history of hypertension (73% vs. 58%, P<0.001), SBP ≥150 mmHg (39% vs. 22%, P<0.001), back pain combined with SBP ≥150 mmHg (23% vs. 0.8%, P<0.001), and back pain with SBP <90 mmHg (4.5% vs. 0.1%, P<0.001). The following data were less frequently observed among those with AAD: diabetes mellitus (7% vs. 28%, P<0.001), dyslipidaemia (17% vs. 42%, P<0.001), and history of smoking (48% vs. 61%, P<0.001). The multivariate regression analysis suggested that back pain with SBP ≥150 mmHg (odds ratio [OR] 47; 95% confidence interval [CI] 28–77; P<0.001), back pain with SBP <90 mmHg (OR 68, 95% CI 16–297, P<0.001), and history of smoking (OR 0.49, 95% CI 0.38–0.63, P<0.001) were the independent markers of AAD. The sensitivity and specificity of back pain with SBPs of ≥150 mmHg and back pain with SBPs <90 mmHg for detecting AAD were 23% and 99%, and 4% and 99%, respectively. In patients with chest pain suspicious of AAD and AMI, “back pain accompanied by chest pain with SBP ≥150 mmHg” or “back pain accompanied by chest pain with SBP <90 mmH” is a reliable diagnostic marker of AAD with high specificity, although the sensitivity was low. The two SBP values with back pain are markers that may be useful for the ambulance crew at their first contact with patients with chest pain. Funding Acknowledgement Type of funding source: None


Author(s):  
Takehiro Michikawa ◽  
Seiichi Morokuma ◽  
Shin Yamazaki ◽  
Akinori Takami ◽  
Seiji Sugata ◽  
...  

Abstract Background Maternal exposure to fine particulate matter (PM2.5) was associated with pregnancy complications. However, we still lack comprehensive evidence regarding which specific chemical components of PM2.5 are more harmful for maternal and foetal health. Objective We focused on exposure over the first trimester (0–13 weeks of gestation), which includes the early placentation period, and investigated whether PM2.5 and its components were associated with placenta-mediated pregnancy complications (combined outcome of small for gestational age, preeclampsia, placental abruption, and stillbirth). Methods From 2013 to 2015, we obtained information, from the Japan Perinatal Registry Network database, on 83,454 women who delivered singleton infants within 23 Tokyo wards (≈627 km2). Using daily filter sampling of PM2.5 at one monitoring location, we analysed carbon and ion components, and assigned the first trimester average of the respective pollutant concentrations to each woman. Results The ORs of placenta-mediated pregnancy complications were 1.14 (95% CI = 1.08–1.22) per 0.51 μg/m3 (interquartile range) increase of organic carbon and 1.11 (1.03–1.18) per 0.06 μg/m3 increase of sodium. Organic carbon was also associated with four individual complications. There was no association between ozone and outcome. Significance There were specific components of PM2.5 that have adverse effects on maternal and foetal health.


2021 ◽  
Vol 9 (2) ◽  
pp. e000780
Author(s):  
Lisanne Andra Gitsels ◽  
Ilyas Bakbergenuly ◽  
Nicholas Steel ◽  
Elena Kulinskaya

ObjectiveAssess whether statins reduce mortality in the general population aged 60 years and above.DesignRetrospective cohort study.SettingPrimary care practices contributing to The Health Improvement Network database, England and Wales, 1990–2017.ParticipantsCohort who turned age 60 between 1990 and 2000 with no previous cardiovascular disease or statin prescription and followed up until 2017.ResultsCurrent statin prescription was associated with a significant reduction in all-cause mortality from age 65 years onward, with greater reductions seen at older ages. The adjusted HRs of mortality associated with statin prescription at ages 65, 70, 75, 80 and 85 years were 0.76 (95% CI 0.71 to 0.81), 0.71 (95% CI 0.68 to 0.75), 0.68 (95% CI 0.65 to 0.72), 0.63 (95% CI 0.53 to 0.73) and 0.54 (95% CI 0.33 to 0.92), respectively. The adjusted HRs did not vary by sex or cardiac risk.ConclusionsUsing regularly updated clinical information on sequential treatment decisions in older people, mortality predictions were updated every 6 months until age 85 years in a combined primary and secondary prevention population. The consistent mortality reduction of statins from age 65 years onward supports their use where clinically indicated at age 75 and older, where there has been particular uncertainty of the benefits.


2013 ◽  
Vol 15 (5) ◽  
pp. 699-709 ◽  
Author(s):  
Hiroyuki Kurata ◽  
Kazuhiro Maeda ◽  
Toshikazu Onaka ◽  
Takenori Takata

Author(s):  
Subhra Prosun Paul ◽  
◽  
Dr. Shruti Aggarwal ◽  

In today’s World sensor networks offer various opportunities for data management applications because of their low cost, reliability, scalability, high-speed data processing, and other versatile advantageous purposes. It is a great challenge to organize data effectively and to retrieve the appropriate data from the large volume of various data sets in ad-hoc network databases, mobile databases, etc. The sensor network is necessary for routing of data, performance analysis of data management activities, and data incorporation for the right application. Data management involves intranet and extranet query handling, data access mechanism, modeling of data, different data movement algorithm, data warehousing, and data mining of network database. Additionally, connectivity, design, and lifetime are important issues for sensor networks to perform all data management activities smoothly. In this paper, we are trying to give a cognitive research tendency of Sensor network data management in the last two decades considering all the challenges and issues of both sensor network database and data management functions using Scopus and Web of Science database. To analyze data, different assessments are done considering various parameters like the author, time, publication and citation number, place, source, document separately for Web of Science and Scopus database in global perspective. It is noticed that there is a significant growth of research in data management for sensor networks because of the popularity of this topic.


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