Estimating Query Result Sizes for Proxy Caching in Scientific Database Federations

2006 ◽  
Author(s):  
Tanu Malik ◽  
Randal Burns ◽  
Nitesh Chawla ◽  
Alex Szalay
Keyword(s):  
Proxy Caching ◽  
Scientific Database ◽  
Query Result

Investigating performance insights of segment-based proxy caching of streaming media strategies

2003 ◽  
Author(s):  
Songqing Chen ◽  
Bo Shen ◽  
Susie J. Wee ◽  
Xiaodong Zhang
Keyword(s):  
Streaming Media ◽  
Proxy Caching

The Current Status of Hearing Care: Can We Change the Status Quo?

2005 ◽  
Vol 16 (07) ◽  
pp. 410-418 ◽  
Author(s):  
Dennis Van Vliet
Keyword(s):  
United States ◽  
Hearing Loss ◽  
Care Delivery ◽  
The United States ◽  
Status Quo ◽  
Hearing Impaired ◽  
Current Status ◽  
High Quality ◽  
Scientific Database ◽  
The Status

The members of the profession of audiology often express concern that the services and products that have been developed to provide benefit to the hearing impaired are not sought after or delivered to the majority of those diagnosed with hearing loss. A critical look at the status quo of hearing care delivery in the United States is needed to verify this assumption and to develop strategies to improve the situation. A key concern is the lack of a comprehensive high-quality scientific database upon which to build continuous improvements in the effectiveness of the services and products that are provided to the hearing impaired.

scholarly journals On the complexity of query result diversification

2013 ◽  
Vol 6 (8) ◽  
pp. 577-588 ◽  
Author(s):  
Ting Deng ◽  
Wenfei Fan
Keyword(s):  
Query Result ◽  
Result Diversification

scholarly journals Disposition of MDMA and Metabolites in Human Sweat Following Controlled MDMA Administration

2009 ◽  
Vol 55 (3) ◽  
pp. 454-462 ◽  
Author(s):  
Allan J Barnes ◽  
Bruno S De Martinis ◽  
David A Gorelick ◽  
Robert S Goodwin ◽  
Erin A Kolbrich ◽  
...  
Keyword(s):  
Solid Phase ◽  
Random Order ◽  
Research Unit ◽  
Sweat Test ◽  
Test Results ◽  
Double Blind ◽  
Scientific Database ◽  
Sweat Testing ◽  
Clinical Research Unit ◽  
Sweat Tests

Abstract Background: Understanding the excretion of 3,4-methylenedioxymethamphetamine (MDMA) and metabolites in sweat is vital for interpretation of sweat tests in drug treatment, criminal justice, and workplace programs. Methods: Placebo, low (1.0 mg/kg), and high (1.6 mg/kg) doses of oral MDMA were given double-blind in random order to healthy volunteers (n = 15) with histories of MDMA use. Participants resided on the closed clinical research unit for up to 7 days after each dose. Volunteers wore PharmChek® sweat patches (n = 640) before, during, and after controlled dosing. Patches were analyzed by solid phase extraction and GC-MS for MDMA, methylenedioxyamphetamine (MDA), 4-hydroxy-3-methoxyamphetamine (HMA), and 4-hydroxy-3-methoxymethamphetamine (HMMA). Limits of quantification (LOQ) were 2.5 ng/patch for MDMA and 5 ng/patch for HMA, HMMA, and MDA. Results: MDMA was the primary analyte detected in 382 patches (59.7%), with concentrations up to 3007 ng/patch. MDA was detected in 188 patches (29.4%) at <172 ng/patch, whereas no HMMA or HMA was detected; 224 patches (35.0%) and 60 patches (9.4%) were positive for MDMA and MDA, respectively, at the 25-ng/patch threshold proposed by the Substance Abuse and Mental Health Services Administration. Conclusions: Sweat testing was shown to be an effective and reliable method for monitoring MDMA use in this controlled MDMA administration study. However, variability in sweat excretion suggests that results should be interpreted qualitatively rather than quantitatively. These data provide a scientific database for interpretation of MDMA sweat test results.

QARTA

2021 ◽  
Vol 14 (11) ◽  
pp. 2273-2282
Author(s):  
Mashaal Musleh ◽  
Sofiane Abbar ◽  
Rade Stanojevic ◽  
Mohamed Mokbel
Keyword(s):  
Machine Learning ◽  
Road Network ◽  
Contextual Information ◽  
Time Of Day ◽  
Food Delivery ◽  
Machine Learning Techniques ◽  
Navigation Systems ◽  
Query Result ◽  
Learning Techniques ◽  
Map Service

Maps services are ubiquitous in widely used applications including navigation systems, ride sharing, and items/food delivery. Though there are plenty of efforts to support such services through designing more efficient algorithms, we believe that efficiency is no longer a bottleneck to these services. Instead, it is the accuracy of the underlying road network and query result. This paper presents QARTA; an open-source full-fledged system for highly accurate and scalable map services. QARTA employs machine learning techniques to construct its own highly accurate map, not only in terms of map topology but more importantly, in terms of edge weights. QARTA also employs machine learning techniques to calibrate its query answers based on contextual information, including transportation modality, location, and time of day/week. QARTA is currently deployed in all Taxis and the third largest food delivery company in the State of Qatar, replacing the commercial map service that was in use, and responding in real-time to hundreds of thousands of daily API calls. Experimental evaluation of QARTA shows its comparable or higher accuracy than commercial services.

The world's lingua franca of science

English Today ◽  
2002 ◽  
Vol 18 (4) ◽  
pp. 45-49 ◽  
Author(s):  
Hikomaro Sano
Keyword(s):  
Relevant Information ◽  
Science And Engineering ◽  
Lingua Franca ◽  
Scientific Database ◽  
Quantitative Manner ◽  
Bibliometric Approach ◽  
Scientific Fields ◽  
Language Of Chemistry

A survey of English as the universalizing language of chemistry.In recent decades the use of English has extended greatly in various fields, including both science and engineering, where it is now more widely used than in any other scientific fields. However, only a few papers have been published (cf. Sano, 1986) to demonstrate the trend in a quantitative manner. In order to discuss this trend here, a bibliometric approach has been adopted in order to retrieve the relevant information from a large scientific database.

Sign in / Sign up

Export Citation Format

Share Document