scholarly journals Seized Ecstasy Pills: Infrared Spectra and Image Datasets

Data ◽  
2020 ◽  
Vol 5 (4) ◽  
pp. 116
Author(s):  
Luc Patiny ◽  
Michaël Zasso ◽  
Pierre Esseiva ◽  
Julien Wist
Keyword(s):  
Cost Effective ◽  
Distribution Networks ◽  
Quality Data ◽  
High Quality Data ◽  
Mid Infrared ◽  
Stimulant Drugs ◽  
Synthetic Drugs ◽  
The World ◽  
Reduction Methods ◽  
Mir Spectra

According to the World Drug Report 2020, cocaine and ecstasy are the most consumed stimulant drugs, with 19 and 27 million estimated users in 2018. In this context, large efforts are being made to design fast and cost-effective analytical methods to track and monitor the distribution networks of these synthetic drugs. Here, we share two datasets of ecstasy pills seized in the northeast of Switzerland between 2010 and 2011. The first contains 621 forensic-grade images of pills, while the second one consists of 486 mid-infrared (mIR) spectra. While both sets are not covering the same seizure, both provide high-quality data with orthogonal information to evaluate clustering and dimension reduction methods.

Count Models to Represent the Impacts of Weather and Infrastructure on Flight Disruptions

2020 ◽  
Vol 2674 (5) ◽  
pp. 510-521
Author(s):  
Sabrena Jahan Ohi ◽  
Amy M. Kim
Keyword(s):  
Incomplete Data ◽  
Performance Metrics ◽  
Quantitative Model ◽  
Data Availability ◽  
Quality Data ◽  
High Quality ◽  
High Quality Data ◽  
Count Models ◽  
The World ◽  
The Relationship

This paper explores the application of count models to represent the relationship between flight disruptions and weather. Throughout the world, flights are regularly disrupted by delays at airports and in the terminal airspace, and less frequently by diversions and cancelations. Many delay studies have been conducted for large American and European airports, in part due to the availability of high-quality data. However, such high-quality data is not as readily available for other airports throughout the world. In this study, excess-zero count models are built using a publicly available dataset for Iqaluit Airport (YFB) in Northern Canada, to determine the influence of different weather components on disruption counts. Visibility and crosswind speeds are shown to have the largest influence on flight disruptions. The models are also applied using Aviation System Performance Metrics (ASPM) flight data for Anchorage Airport (ANC) in Alaska; the data is systematically degraded to match completeness of the Iqaluit data to test the models. The results verify that an excess-zero model using incomplete data yields results similar to that of a count model with complete data, demonstrating that an excess-zero model can overcome data incompleteness to yield acceptable results. Although count models have been applied extensively in the transportation literature, the authors believe this to be the first application to flight disruptions, and the first quantitative model of operations at a northern Canadian airport. This paper demonstrates that challenges in data availability—the case for most airports throughout the world—can be addressed with novel statistical modeling applications, and thus, delay studies can be conducted for almost any airport.

scholarly journals The Globalization of Crystallographic Knowledge

1998 ◽  
Vol 54 (6) ◽  
pp. 1065-1070 ◽  
Author(s):  
Peter Murray-Rust
Keyword(s):  
World Wide ◽  
Distributed Databases ◽  
Quality Data ◽  
Markup Language ◽  
High Quality ◽  
High Quality Data ◽  
The World ◽  
Extensible Markup ◽  
Structured Documents ◽  
New Generation

The rapid growth of the World Wide Web provides major new opportunities for distributed databases, especially in macromolecular science. A new generation of technology, based on structured documents (SD), is being developed which will integrate documents and data in a seamless manner. This offers experimentalists the chance to publish and archive high-quality data from any discipline. Data and documents from different disciplines can be combined and searched using technology such as eXtensible Markup Language (XML) and its associated support for hypermedia (XLL), metadata (RDF) and stylesheets (XSL). Opportunities in crystallography and related disciplines are described.

scholarly journals Trends in indices for extremes in daily air temperature over Utah, USA

2011 ◽  
Vol 26 (1) ◽  
pp. 19-28 ◽  
Author(s):  
Carlos Antonio Costa dos Santos
Keyword(s):  
Climate Change ◽  
Air Temperature ◽  
Quality Data ◽  
High Quality ◽  
High Quality Data ◽  
Ongoing Research ◽  
United State ◽  
The World ◽  
Extreme Indices

The main objective of this study was to obtain analysis of the trends in eleven annual extreme indices of temperature for Utah, United State of America (USA). The analyses have been obtained for 28 meteorological stations, in general, for the period of 1930 to 2006, characterizing a long-term period and with high quality data. The software used to process the data was the RClimdex 1.0. The analysis has identified that the temperature increased in Utah during the last century, evidencing the importance of the ongoing research on climate change in many parts of the world.

scholarly journals THE METHODOLOGICAL RELEVANCE OF MASS OBSERVATION DATA

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S757-S757
Author(s):  
Charlotte L Eost-Telling ◽  
Paul Kingston ◽  
Louise Taylor ◽  
Jan Bailey
Keyword(s):  
Qualitative Data ◽  
Social Issues ◽  
Cost Effective ◽  
Alternative Methods ◽  
Quality Data ◽  
Observation Data ◽  
High Quality Data ◽  
Wide Range ◽  
The Uk ◽  
Written Questions

Abstract The Mass Observation Project, established in 1937, documents the lives of ordinary people living in the UK, and explores a wide range of social issues. The Project distributes a set of written questions (“Directives”) to a panel of 500 members of the British public (“Observers”) three times each year; “Observers” respond in writing. From the initial commissioning of a “Directive” to data becoming available for analysis takes between four to six months. This approach offers researchers an opportunity to capture in-depth qualitative data from individuals with a range of demographic backgrounds who live across the UK. As there are no word limits on “Observers’” responses and they remain anonymous, a “Directive” often yields rich, high-quality data. Additionally, compared with alternative methods of collecting large volumes of qualitative data from a heterogeneous population, commissioning a “Directive” is cost-effective in terms of time and resource.

scholarly journals Requirements of a network telescope

1988 ◽  
Vol 123 ◽  
pp. 541-544
Author(s):  
Ian Elliott
Keyword(s):  
Low Cost ◽  
Computer Control ◽  
Effective Means ◽  
Cost Effective ◽  
General Purpose ◽  
Quality Data ◽  
Light Weight ◽  
Dome A ◽  
High Quality Data ◽  
Reasonable Cost

General purpose telescopes fail to provide a cost-effective means of obtaining photometric data for asteroseismology. A continuous observing run on a particular star is best suited to automatic operation with a dedicated photoelectric telescope. As optical requirements for on-axis photometry are less severe than those for imaging, low-cost light-weight mirrors permit a saving in the size and cost of mount and dome. A stiff mounting with a low moment of inertia permits rapid movement under computer control. Adoption of a permanently mounted photometer and the elimination of manual controls also leads to design and operating economies. Maintenance can be shared with other instruments and travel and subsistence requirements are minimised. Therefore remote operation of a network of automatic telescopes at good sites could provide high quality data at reasonable cost.

scholarly journals The International Register of Open Abdomen (IROA): An occasion to better understand the pediatric open abdomen -Preliminary results and call for pediatric intensive care participants

2017 ◽  
Author(s):  
Federico Coccolini ◽  
Torsten Kaussen ◽  
Mirco Nacoti ◽  
Giulia Montori ◽  
Marco Ceresoli ◽  
...  
Keyword(s):  
Intensive Care ◽  
Emergency Surgery ◽  
Pediatric Patients ◽  
Open Abdomen ◽  
Pediatric Intensive Care ◽  
Quality Data ◽  
High Quality ◽  
High Quality Data ◽  
The World ◽  
Web Platform

In pediatric patients open abdomen (OA) is applied with many and not standardized indications. Several studies have been published regarding the OA management in adults and fewer in pediatrics. Several issues are still unclear and need more high quality data. The World Society of Emergency Surgery (WSES) promoted the International Register of Open Abdomen (IROA) dedicated to adults and pediatric patients. The register is held on a web platform (Clinical Registers®) through a dedicated web site: www.clinicalregisters.org. (ClinicalTrials. gov Identifier: NCT02382770).

scholarly journals Productivity and Size of the Export Market

2007 ◽  
Vol 227 (4) ◽  
Author(s):  
Joachim Wagner
Keyword(s):  
World Market ◽  
Export Market ◽  
Quality Data ◽  
Export Markets ◽  
High Quality Data ◽  
Euro Zone ◽  
The World ◽  
Nationally Representative ◽  
Plant Level ◽  
The Relationship

SummaryUsing unique recently released nationally representative high-quality data at the plant level, this paper presents the first comprehensive evidence on the relationship between productivity and size of the export market for Germany, a leading actor on the world market for manufactured goods. It documents that firms that export to countries inside the euro-zone are more productive than firms that sell their products in Germany only, but less productive than firms that export to countries outside the euro-zone, too. This is in line with the hypothesis that export markets outside the euro-zone have higher entry costs that can only be paid by more productive firms.

scholarly journals Emergency Authorization of Chloroquine and Hydroxychloroquine for Treatment of COVID-19

2020 ◽  
Vol 54 (8) ◽  
pp. 827-831 ◽  
Author(s):  
Christopher R. Piszczatoski ◽  
Jason Powell
Keyword(s):  
Literature Review ◽  
Treatment Option ◽  
Safety Profile ◽  
Careful Consideration ◽  
Quality Data ◽  
High Quality ◽  
High Quality Data ◽  
The World ◽  
Experimental Treatments ◽  
Novel Coronavirus

The world is suffering a respiratory pandemic disease caused by a novel coronavirus (2019-nCoV), commonly known as COVID-19 (coronavirus disease 2019). The Food and Drug Administration issued an emergency authorization for chloroquine and hydroxychloroquine as experimental treatments for COVID-19 leading to a shortage of both medications. A literature review conducted in April 2020 shows a lack of high-quality data available, resulting in ambiguous guideline recommendations. Decisions to use either drug should be made with careful consideration of risks versus benefits along with proper monitoring. Because of its higher potency and better safety profile, hydroxychloroquine may be the more reasonable treatment option if treatment is initiated.

What Can Digitization Do For Formulated Product Innovation and Development

2020 ◽  
Author(s):  
James McDonagh ◽  
William Swope ◽  
Richard L. Anderson ◽  
Michael Johnston ◽  
David J. Bray
Keyword(s):  
High Performance ◽  
Quality Data ◽  
High Quality Data ◽  
Base Level ◽  
Hybrid Approaches ◽  
Digital Ecosystem ◽  
Recent Developments ◽  
Chemical Simulation ◽  
High Level ◽  
Physical And Chemical

Digitization offers significant opportunities for the formulated product industry to transform the way it works and develop new methods of business. R&D is one area of operation that is challenging to take advantage of these technologies due to its high level of domain specialisation and creativity but the benefits could be significant. Recent developments of base level technologies such as artificial intelligence (AI)/machine learning (ML), robotics and high performance computing (HPC), to name a few, present disruptive and transformative technologies which could offer new insights, discovery methods and enhanced chemical control when combined in a digital ecosystem of connectivity, distributive services and decentralisation. At the fundamental level, research in these technologies has shown that new physical and chemical insights can be gained, which in turn can augment experimental R&D approaches through physics-based chemical simulation, data driven models and hybrid approaches. In all of these cases, high quality data is required to build and validate models in addition to the skills and expertise to exploit such methods. In this article we give an overview of some of the digital technology demonstrators we have developed for formulated product R&D. We discuss the challenges in building and deploying these demonstrators.<br>

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