The Business of Materials Data Banks

2008 ◽  
pp. 211-211-5
Author(s):  
JE Martini-Vvedensky
Keyword(s):  
Data Banks

Determining the Most Valuable Clinical Variables : a Stepwise Multiple Logistic Regression Program

1980 ◽  
Vol 19 (01) ◽  
pp. 42-49 ◽  
Author(s):  
B. W. Brown ◽  
C. Engelhard ◽  
J. Haipern ◽  
J. F. Fries ◽  
L. S. Coles
Keyword(s):  
Logistic Regression ◽  
Predictor Variable ◽  
Clinical Problem ◽  
Relevant Information ◽  
Stepwise Logistic Regression ◽  
Multiple Logistic Regression ◽  
Binary Outcome ◽  
Medical Problems ◽  
Valuable Predictor ◽  
Data Banks

In solving a clinical problem of diagnosis, prognosis, or treatment choice, a physician must select from among a large group of possible tests. In general, an ordering exists specifying which tests are most valuable in providing relevant information concerning the problem on hand. The computer program package to be described (MW) extracts appropriate data from the ARAMIS data banks and then analyzes the data by stepwise logistic regression. A binary outcome (diagnosis, prognostic event, or treatment response) is sequentially associated with possible tests, and the most powerful combination of tests is identified. For example, the most valuable predictor variable of early mortality in SLE is proteinuria, followed sequentially by anemia and absence of arthritis. Experience with these techniques suggests : 1. optimal certainty is usually reached after only three or four tests; 2. several different test sequences may lead to the same level of certainty; 3. diagnosis may usually be ascertained with greater certainty than prognosis; 4. many medical problems contain considerable non-reducible uncertainty; 5. a relatively small group of tests are typically found among the most powerful; 6. results are consistent across several patient populations; 7. results are largely independent of the particular statistic employed. These observations suggest strategies for maximizing information while minimizing risk and expense.

Chemical toxicology searching: a collaborative evaluation, comparing information resources and searching techniques

1982 ◽  
Vol 5 (1) ◽  
pp. 3-18 ◽  
Author(s):  
David Bawden ◽  
Alison M. Brock
Keyword(s):  
Public Sector ◽  
Failure Analysis ◽  
Objective Evaluation ◽  
Information Resources ◽  
Data Bases ◽  
Online Data ◽  
Chemical Toxicology ◽  
Collaborative Evaluation ◽  
Evaluation Project ◽  
Data Banks

A collaborative evaluation project has been carried out by fourteen UK and European organisations, both industrial and public sector, to compare information resources and searching techniques for chemical toxrcology information. The project had two objectives: to improve the participants' own expertise in this area, and to allow an objective evaluation of searching methods. Eight test queries were designed and searched by the participants, and the results evaluated semi-qualitatively, with an extensive failure analysis. Printed sources, online data-bases, data-banks, and in-house files were included in the evaluation. The results are presented and discussed, including both comments on strengths and weaknesses of sources and search techniques, and recommenda tions for future improvements to facilitate access to chemical toxicology information.

scholarly journals Linguistic Data Banks and the Technical Translator

1971 ◽  
Vol 16 (1-2) ◽  
pp. 117 ◽  
Author(s):  
Friedrich Krollmann
Keyword(s):  
Linguistic Data ◽  
Data Banks

Using Public Well Data Banks to Improve Field Investigations for Excavations

2021 ◽  
Vol 44 (6) ◽  
pp. 20200202
Author(s):  
Robert P. Chapuis ◽  
Vahid Marefat ◽  
Lu Zhang
Keyword(s):  
Field Investigations ◽  
Well Data ◽  
Data Banks

scholarly journals Bacterial Co-infections in HIV/AIDS-positive Subjects: A Systematic Review and Meta-analysis

Folia Medica ◽  
2018 ◽  
Vol 60 (3) ◽  
pp. 339-350 ◽  
Author(s):  
Farzad Khademi ◽  
Arshid Yousefi-Avarvand ◽  
Amirhossein Sahebkar ◽  
Fahimeh Ghanbari ◽  
Hamid Vaez
Keyword(s):  
Bacterial Infections ◽  
Wide Spectrum ◽  
Meta Analysis ◽  
Exclusion Criteria ◽  
Sexually Transmitted ◽  
Related Data ◽  
Preventive Methods ◽  
Timely Treatment ◽  
Data Banks ◽  
Hiv Aids

Abstract Background: Bacterial infections are the most common complications in people with HIV/AIDS. There has been no previous report on the prevalence of bacterial co-infections in Iranian HIV/AIDS-positive subjects. Aim: To evaluate the frequency of bacterial infections in hospitalized HIV/AIDS-infected patients in Iran. Materials and methods: Based on PRISMA guidelines, a computerized search in related data banks using relevant keywords was performed in both Persian and English languages for articles that were published until March 10, 2017. A total of 1118 original articles were systematically reviewed to identify eligible studies on the prevalence of bacterial co-infections in HIV/AIDS-infected patients from Iran. After screening for inclusion and exclusion criteria, we extracted data from 28 eligible articles for the meta-analysis. Results: The overall bacterial infection rate among Iranian HIV/AIDS-positive individuals was estimated to be 48.6%. Gastrointestinal disorders (59.5%) were the most frequent bacterial infections in this group of patients followed by bacterial lymphadenopathy (38.9%), TB infection (38.2%), bacterial pneumonia (31.2%), brucellosis (26.3%), skin infections (13.3%) and sexually transmitted infections (9.7%). The prevalence of other bacterial infections including endocarditis, sepsis and Staphylococcus aureus (S. aureus) were 10%, 9.1%, and 6.9%, respectively. Conclusion: The prevalence of a wide spectrum of bacterial co-infections, especially endemic infections, in Iranian HIV/AIDS-infected patients, is alarming and calls for urgent need to improve the currently applied diagnostic and preventive methods. In addition, timely treatment of these infections is pivotal to decrease the morbidity and mortality rates in HIV/AIDS-infected patients.

scholarly journals Polymorphic Microsatellite Loci in the Independent-founding Wasp Polists versicolor (Hymenoptera: Vespidae)

Sociobiology ◽  
2016 ◽  
Vol 63 (2) ◽  
pp. 845
Author(s):  
Yumi Takahashi ◽  
Ayano Yamada ◽  
Sidnei Mateus ◽  
Ronaldo Zucchi ◽  
Fabio Nascimento ◽  
...  
Keyword(s):  
Social Interactions ◽  
Microsatellite Loci ◽  
Genetic Relatedness ◽  
Conflicts Of Interest ◽  
Microsatellite Primers ◽  
Expected Heterozygosity ◽  
Polistes Wasps ◽  
Polymorphic Microsatellite ◽  
Genetic Conflicts ◽  
Data Banks

Microsatellite primers developed for a given species are sometimes useful for another in the same genus, making possible to search for pre-existing suitable primers in the data banks such as GenBank. We examined whether existing primers developed for Polistes wasps could be used for the independent-founding wasp Polistes versicolor. We tested 50 microsatellite primers from three Polistes species and found that five microsatellite loci show polymorphism in size in P. versicolor. These five loci were highly polymorphic, having four to 10 alleles in P. versicolor with an expected heterozygosity of 0.530–0.836. These loci can be used to study parameters concerning genetic relatedness such as social interactions in colonies and genetic conflicts of interest among nestmate individuals.

Central banks have a key role in greening the economy

2021 ◽  
Keyword(s):  
Carbon Price ◽  
Central Banks ◽  
Price Stability ◽  
Carbon Taxes ◽  
Content Type ◽  
Mission Creep ◽  
Financial Firms ◽  
Short Run ◽  
Green Investments ◽  
Data Banks

Significance It will not be easy to reconcile new tasks with traditional price-stability mandates. Moreover, it is not clear what data banks should use to measure progress, while a green transition will depend on closer coordination with governments, creating challenges for politically independent central banks. Impacts As governments raise carbon taxes, there will be calls to loosen monetary policy to offset their deflationary effect. ‘Mission creep’ is a risk for authorities; financial firms may incur losses if politicians fail to follow through on carbon price moves. Green investments risk a bubble effect, especially as short-run supplies of metals such as cobalt and lithium are limited.

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