scholarly journals Characterization of major waste data sources

1991 ◽  
Author(s):  
R. Cordes ◽  
J. Eisenhauer
Keyword(s):  
Data Sources

scholarly journals Protein informatics combined with multiple data sources enriches the clinical characterization of novelTRPV4variant causing an intermediate skeletal dysplasia

2019 ◽  
Vol 7 (3) ◽  
pp. e566 ◽  
Author(s):  
Stephanie L. Hines ◽  
John E. Richter ◽  
Ahmed N. Mohammad ◽  
Jain Mahim ◽  
Paldeep S. Atwal ◽  
...  
Keyword(s):  
Skeletal Dysplasia ◽  
Data Sources ◽  
Multiple Data Sources ◽  
Multiple Data

An Overview of Molecular and Genetic Alterations in Selected Benign Odontogenic Disorders

2014 ◽  
Vol 138 (6) ◽  
pp. 754-758 ◽  
Author(s):  
Robert J. Cabay
Keyword(s):  
Patient Outcomes ◽  
Molecular Level ◽  
Genetic Alterations ◽  
Data Sources ◽  
Dental Abnormalities ◽  
Prevention And Treatment ◽  
Environmental Causes

Context.— Some dental abnormalities have environmental causes. Other odontogenic alterations are idiopathic and may have hereditary etiologies. Investigations of these conditions are ongoing. Objective.— —To provide a discussion of developmental odontogenic abnormalities and benign odontogenic overgrowths and neoplasms for which genetic alterations have been well demonstrated and well documented. Data Sources.— Relevant peer-reviewed literature. Conclusions.— —The understanding of benign odontogenic lesions at a molecular level is rather well developed for some lesions and at the initial stages for many others. Further characterization of the molecular underpinnings of these and other odontogenic lesions would result in an enhanced comprehension of odontogenesis and the pathogenesis of a variety of odontogenic aberrations. These advancements may lead to better prevention and treatment paradigms and improved patient outcomes.

Revision of Thaumatocranaus Roewer, 1932, with description of two new species (Opiliones: Laniatores: Gonyleptoidea)

Zootaxa ◽  
2017 ◽  
Vol 4254 (4) ◽  
pp. 457
Author(s):  
MARCOS R. HARA ◽  
CIBELE BRAGAGNOLO ◽  
RICARDO PINTO-DA-ROCHA
Keyword(s):  
New Species ◽  
Type Species ◽  
Data Sources ◽  
Two New Species ◽  
Relationship Of ◽  
The Relationship

Gonyleptid systematics has changed considerably in recent years, thanks to the increasing number of opilionologists and use of new data sources to infer relationships. This scenario promotes revisions of yet unrevised or recently proposed supraspecific groups. In an ongoing revision of the Gonyleptidae subfamilies Pachylinae, Ampycinae and some species of Cranainae (former Cranaidae), we found that Thaumatocranaus Roewer, 1932, a hitherto monotypic cranaine genus, is currently misplaced. According to the recent characterization of gonyleptid subfamilies and its close families, it should be transferred to Ampycinae based on pedipalpal and penial characters. This genus is revised, including redescription of its type species, T. mirabilis Roewer, 1932, and description of two new species, both from Colombia, Amazonas: T. magnificus sp. nov. (from Araracuara) and T. splendidus sp. nov. (from Leticia). The relationship of this genus with other Ampycinae genera is also discussed.  

Identification and Characterization of Data Sources for Logger Injuries and Fatalities

2014 ◽  
Vol 19 (2) ◽  
pp. 201-202
Author(s):  
Hasanat Alamgir ◽  
Sharon Cooper ◽  
Jeffrey Levin
Keyword(s):  
Data Sources ◽  
Identification And Characterization

scholarly journals Characterizing Tractability of Simple Well-Designed Pattern Trees with Projection

2020 ◽  
Author(s):  
Stefan Mengel ◽  
Sebastian Skritek
Keyword(s):  
Semantic Web ◽  
Structural Characterization ◽  
Incomplete Data ◽  
Query Language ◽  
Query Languages ◽  
Data Sources ◽  
Central Feature ◽  
Simple Pattern ◽  
Underlying Graph

Abstract We study the complexity of evaluating well-designed pattern trees, a query language extending conjunctive queries with the possibility to define parts of the query to be optional. This possibility of optional parts is important for obtaining meaningful results over incomplete data sources as it is common in semantic web settings. Recently, a structural characterization of the classes of well-designed pattern trees that can be evaluated in polynomial time was shown. However, projection—a central feature of many query languages—was not considered in this study. We work towards closing this gap by giving a characterization of all tractable classes of simple well-designed pattern trees with projection (under some common complexity theoretic assumptions). Since well-designed pattern trees correspond to the fragment of well-designed {, }-SPARQL queries this gives a complete description of the tractable classes of queries with projections in this fragment that can be characterized by the underlying graph structures of the queries. For non-simple pattern trees the tractability criteria for simple pattern trees do not capture all tractable classes. We thus extend the characterization for the non-simple case in order to capture some additional tractable cases.

scholarly journals A Characterization of Metrics for Comparing Satellite-Based and Ground-Measured Global Horizontal Irradiance Data: A Principal Component Analysis Application

2020 ◽  
Vol 12 (6) ◽  
pp. 2454 ◽  
Author(s):  
Maria. C. Bueso ◽  
José Miguel Paredes-Parra ◽  
Antonio Mateo-Aroca ◽  
Angel Molina-García
Keyword(s):  
Principal Component Analysis ◽  
Power Systems ◽  
Power Plants ◽  
Principal Component ◽  
Component Analysis ◽  
Data Sources ◽  
Time Data ◽  
Irradiance Data ◽  
One Year

The increasing integration of photovoltaic (PV) power plants into power systems demands a high accuracy of yield prediction and measurement. With this aim, different global horizontal irradiance (GHI) estimations based on new-generation geostationary satellites have been recently proposed, providing a growing number of solutions and databases, mostly available online, in addition to the many ground-based irradiance data installations currently available. According to the specific literature, there is a lack of agreement in validation strategies for a bankable, satellite-derived irradiance dataset. Moreover, different irradiance data sources are compared in recent contributions based on a diversity of arbitrary metrics. Under this framework, this paper describes a characterization of metrics based on a principal component analysis (PCA) application to classify such metrics, aiming to provide non-redundant and complementary information. Therefore, different groups of metrics are identified by applying the PCA process, allowing us to compare, in a more extensive way, different irradiance data sources and exploring and identifying their differences. The methodology has been evaluated using satellite-based and ground-measured GHI data collected for one year in seven different Spanish locations, with a one-hour sample time. Data characterization, results, and a discussion about the suitability of the proposed methodology are also included in the paper.

scholarly journals Challenges for the Measurement of Innovation Ecosystems and Entrepreneurial Ecosystems in Brazil

2020 ◽  
Author(s):  
Renata Lèbre La Rovere ◽  
Guilherme de Oliveira Santos ◽  
Bianca Louzada Xavier Vasconcellos
Keyword(s):  
Small Businesses ◽  
Time Lag ◽  
Point Of View ◽  
Data Sources ◽  
Theoretical Point ◽  
Entrepreneurial Ecosystems ◽  
Innovation Ecosystems ◽  
Multiple Data ◽  
Brazilian Case

Purpose: This paper aims to identify metrics and indicators of innovation ecosystems and entrepreneurial ecosystems and to discuss the limitations of these metrics in the Brazilian case. Theoretical framework: From a theoretical point of view, the paper contributes to the analysis of the differences and similarities between the concepts of innovation ecosystems and entrepreneurial ecosystems. From a methodological perspective, the paper proposes indicators and metrics and points out the limitations for measuring entrepreneurial and innovative ecosystems in Brazil. Design/methodology/approach: The study’s qualitative approach is based on a literature review, a documentary research, and data collection for the characterization of innovation ecosystems and entrepreneurial ecosystems. The paper identifies the main indicators and metrics, their data sources and the limitations of these indicators and metrics in the Brazilian case. Findings: It was observed that despite the existence of multiple data sources, the measurement of entrepreneurial ecosystems in Brazil entails constraints such as time lag of the data; voluntary filling of databases; lack of transparency at the regional level; and incomplete or skewed data. Research, Practical & Social implications: From a theoretical point of view, the paper contributes to the analysis of the differences and similarities between the concepts of innovation ecosystems and entrepreneurial ecosystems. From a methodological point of view, the study proposes indicators and metrics and points out the limitations for the measurement of entrepreneurial and innovative ecosystems in Brazil. Originality/value: When identifying limitations, the paper proposes alternatives to improve the measurement of innovation ecosystems and entrepreneurial ecosystems in the country and in its different regions. This is essential for designing and monitoring public policies to support innovation, especially those aimed to support entrepreneurs and small businesses.

THE CHARACTERIZATION OF CONTINUOUS QUERIES

1999 ◽  
Vol 08 (04) ◽  
pp. 295-323 ◽  
Author(s):  
DANIEL BARBARÁ
Keyword(s):  
Information Sources ◽  
Wide Spectrum ◽  
Black Box ◽  
Data Sources ◽  
Continuous Queries ◽  
Electronic Information ◽  
Data Manipulation ◽  
Implementation Techniques ◽  
General Data

In a world where the amount of electronic information available is constantly growing, techniques to select and filter information efficiently become increasingly important. Continuous queries are a tool that allows users to monitor one or more information sources, by giving the impression that the queries are being run continually over them. In this paper, we formalize the notion of continuous queries for a wide spectrum of environments. We consider both append-only data sources and systems that allow more general data manipulation. We examine the case where the database management software may be modified as well as where we must treat it as a black box. We study the classes of queries that can be supported in each case and present efficient implementation techniques for them.

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