Proposed Marine Mammal Noise Exposure Criteria: Current Data Base, Limitations, and Research Needs

2008 ◽  
Vol 123 (5) ◽  
pp. 2988-2988
Author(s):  
Darlene R. Ketten ◽  
Ann E. Bowles ◽  
William T. Ellison ◽  
James J. Finneran ◽  
Roger L. Gentry ◽  
...  
Keyword(s):  
Data Base ◽  
Marine Mammal ◽  
Noise Exposure ◽  
Current Data ◽  
Research Needs

Marine Mammal Noise Exposure Criteria: Updated Scientific Recommendations for Residual Hearing Effects

2019 ◽  
Vol 45 (2) ◽  
pp. 125-232 ◽  
Author(s):  
Brandon L. Southall ◽  
James J. Finneran ◽  
Colleen Reichmuth ◽  
Paul E. Nachtigall ◽  
Darlene R. Ketten ◽  
...  
Keyword(s):  
Marine Mammal ◽  
Noise Exposure ◽  
Residual Hearing

Evolutions in Marine Mammal Noise Exposure Criteria

2021 ◽  
Vol 17 (1) ◽  
pp. 52
Author(s):  
Brandon L. Southall
Keyword(s):  
Marine Mammal ◽  
Noise Exposure

MARINE MAMMAL NOISE-EXPOSURE CRITERIA: INITIAL SCIENTIFIC RECOMMENDATIONS

Bioacoustics ◽  
2008 ◽  
Vol 17 (1-3) ◽  
pp. 273-275 ◽  
Author(s):  
BRANDON L. SOUTHALL ◽  
ANN E. BOWLES ◽  
WILLIAM T. ELLISON ◽  
JAMES J. FINNERAN ◽  
ROGER L. GENTRY ◽  
...  
Keyword(s):  
Marine Mammal ◽  
Noise Exposure

Data Streams

2011 ◽  
pp. 561-565
Author(s):  
João Gama ◽  
Pedro Pereira Rodrigues
Keyword(s):  
Decision Support ◽  
Data Analysis ◽  
Data Base ◽  
Data Streams ◽  
Active Role ◽  
Analysis Data ◽  
Current Data ◽  
Data Mining Algorithms ◽  
Exact Answer ◽  
Approximate Answers

Nowadays, data bases are required to store massive amounts of data that are continuously inserted, and queried. Organizations use decision support systems to identify potential useful patterns in data. Data analysis is complex, interactive, and exploratory over very large volumes of historic data, eventually stored in distributed environments. What distinguishes current data sources from earlier ones are the continuous flow of data and the automatic data feeds. We do not just have people who are entering information into a computer. Instead, we have computers entering data into each other (Muthukrishnan, 2005). Some illustrative examples of the magnitude of today data include: 3 billion telephone calls per day, 4 Giga Bytes of data from radio telescopes every night, 30 billion emails per day, 1 billion SMS, 5 Giga Bytes of Satellite Data per day, 70 billion IP Network Traffic per day. In these applications, data is modelled best not as persistent tables but rather as transient data streams. In some applications it is not feasible to load the arriving data into a traditional Data Base Management Systems (DBMS), and traditional DBMS are not designed to directly support the continuous queries required in these applications (Alon et al., 1996; Babcock et al. 2002; Cormode & Muthukrishnan, 2003). These sources of data are called Data Streams. Computers play a much more active role in the current trends in decision support and data analysis. Data mining algorithms search for hypothesis, evaluate and suggest patterns. The pattern discovery process requires online ad-hoc queries, not previously defined, that are successively refined. Due to the exploratory nature of these queries, an exact answer may be not required: a user may prefer a fast but approximate answer to a exact but slow answer. Processing queries in streams require radically different type of algorithms. Range queries and selectivity estimation (the proportion of tuples that satisfy a query) are two illustrative examples where fast but approximate answers are more useful than slow and exact ones. Approximate answers are obtained from small data structures (synopsis) attached to data base that summarize information and can be updated incrementally

scholarly journals A fine-scale marine mammal movement model for assessing long-term aggregate noise exposure

2022 ◽  
Vol 464 ◽  
pp. 109798
Author(s):  
Ruth Joy ◽  
Robert S. Schick ◽  
Michael Dowd ◽  
Tetyana Margolina ◽  
John E. Joseph ◽  
...  
Keyword(s):  
Marine Mammal ◽  
Noise Exposure ◽  
Fine Scale ◽  
Movement Model

Interdisciplinary Approach to Assessing the Health Risk of Air Toxic Chemicals: An Overview

1990 ◽  
Vol 6 (5) ◽  
pp. 157-169 ◽  
Author(s):  
E. C. Grose ◽  
M. J. K. Selgrade ◽  
P. J. Busnell ◽  
J. E. Simmons ◽  
J. Allen ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Data Base ◽  
Health Effects ◽  
Environmental Protection Agency ◽  
Structural Characteristics ◽  
Interdisciplinary Approach ◽  
Health Data ◽  
Current Data ◽  
Toxic Chemicals ◽  
Route Of Exposure

To assist the regulatory branch of the Environmental Protection Agency in addressing the risk assessment of air toxics, the Health Effects Research Laboratory initiated a comprehensive inhalation toxicology program to provide key health effects data missing from the current data base. A priority ranking of chemicals based on the potential for substantial human exposure and the need for health effects data was developed to identify candidate chemicals for toxicological research. The major goal of the program is to evaluate the concentration-response from acute, intermittent and subchronic inhalation exposures to developmental, genetic, hepatic, immunologic, neurologic, pulmonary and reproductive toxicity in a manner that provides data for the regulatory health assessment of air toxic chemicals. Extrapolation and dosimetry research is also conducted to improve the basis for human risk assessment. Determination of biological endpoints to be examined will be decided on a compound-by-compound basis, depending on the physical, chemical and structural characteristics of the chemical and evaluation of the existing health data base. Although the main emphasis is on inhalation as the primary route of exposure, some of the laboratories will compare inhalation to other routes, such as oral, to better understand the influence of route of exposure and hence the potential applicability of existing health data. Acute and intermittent exposures will be done for all compounds. Upon evaluation of the acute results, a decision will be made as to whether subchronic studies are needed. Endpoints that show unusual sensitivity may be investigated in greater detail. The total length of exposure will vary from 1 to 21 days. The daily length of exposure will range from 1 to 8 hr. If adverse effects are observed at ambient levels, the time to recovery after exposure will be investigated.

The macrosatellites of the Toulouse goose: the major tandemly repetitive DNA in the Toulouse goose genome

Genome ◽  
1990 ◽  
Vol 33 (5) ◽  
pp. 641-645 ◽  
Author(s):  
X. Zhu ◽  
J. Skinner ◽  
L. A. Burgoyne
Keyword(s):  
Data Base ◽  
Repetitive Dna ◽  
Dna Sequences ◽  
Tandem Repeats ◽  
Current Data ◽  
Anser Anser ◽  
Site Class ◽  
Class B ◽  
Repeat Class ◽  
A Current

This paper examines the principal classes of repetitive DNA of the Toulouse goose (Anser anser) genome. There are four major classes and they are tandem repeats of less than 200 base pairs (bp). The longest repeat (class A) is 190 bp long and starts with a HinfI site. Class B is 43 bp long, commencing with a FokI site. Classes A and B show no extensive homology to DNA sequences held on a current data base (Genbank) but were confirmed to exist as major repeats in another strain of goose, the Emden goose (Anser anser) genome. Classes C and D are 5-bp repeats of 5′ GAGAG 3′ and 5′ GGGAA 3′, respectively. The macrosatellites C and D were compared with a current data base (Genbank) and were found to exist in a variety of other organisms as satellites.Key words: anseriform, avian, goose, repetitive DNA.

Marine mammal noise exposure criteria: Initial scientific recommendations.

2009 ◽  
Vol 125 (4) ◽  
pp. 2517-2517 ◽  
Author(s):  
Brandon L. Southall ◽  
Ann E. Bowles ◽  
William T. Ellison ◽  
James J. Finneran ◽  
Roger L. Gentry ◽  
...  
Keyword(s):  
Marine Mammal ◽  
Noise Exposure

The Effects of Different Data Base Formats on Information Retrieval

1987 ◽  
Vol 31 (9) ◽  
pp. 983-987 ◽  
Author(s):  
Deborah Boehm-Davis ◽  
Robert Holt ◽  
Matthew Koll Gloria Yastrop ◽  
Robert Peters
Keyword(s):  
Information Retrieval ◽  
Data Base ◽  
Correct Response ◽  
Current Data ◽  
Retrieval Performance ◽  
Query Type

This research examined the effects of three different data base formats on the information retrieval performance of users. Spatial, tabular, and verbal forms of two data base domains (airline and thesaurus) were constructed, along with questions that required users to search through the data base to determine the correct response. Three types of questions were designed — spatial, tabular, and verbal. The data indicate that users are faster and more accurate in responding to the questions when the format of the information in the data base matches the type of information needed to answer the question. While the importance of matching data base format to query type may seem to be obvious, it would appear that the designers of most current data base systems have not taken this into account.

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