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45 results for “Arithmetic”
Virginia Coast Reserve site, station NOAA Station 8632200, Kiptopeke, VA, study of mean sea level: the arithmetic mean of hourly heights observed over the National Tidal Datum Epoch (as defined by NOAA) in units of meter on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Virginia Coast Reserve (VCR) contains mean sea level: the arithmetic mean of hourly heights observed over the National Tidal Datum Epoch (as defined by NOAA) measurements in meter units and were aggregated to a yearly timescale.
Florida Coastal Everglades site, station NOAA Station 8724580, Key West, FL, study of mean sea level: the arithmetic mean of hourly heights observed over the National Tidal Datum Epoch (as defined by NOAA) in units of meter on a monthly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Florida Coastal Everglades (FCE) contains mean sea level: the arithmetic mean of hourly heights observed over the National Tidal Datum Epoch (as defined by NOAA) measurements in meter units and were aggregated to a monthly timescale.
Florida Coastal Everglades site, station NOAA Station 8724580, Key West, FL, study of mean sea level: the arithmetic mean of hourly heights observed over the National Tidal Datum Epoch (as defined by NOAA) in units of meter on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Florida Coastal Everglades (FCE) contains mean sea level: the arithmetic mean of hourly heights observed over the National Tidal Datum Epoch (as defined by NOAA) measurements in meter units and were aggregated to a yearly timescale.
Baltimore Ecosystem Study LTER site, station NOAA Station 8574680, Baltimore, MD, study of mean sea level: the arithmetic mean of hourly heights observed over the National Tidal Datum Epoch (as defined by NOAA) in units of meter on a monthly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Baltimore Ecosystem Study LTER (BES) contains mean sea level: the arithmetic mean of hourly heights observed over the National Tidal Datum Epoch (as defined by NOAA) measurements in meter units and were aggregated to a monthly timescale.
Baltimore Ecosystem Study LTER site, station NOAA Station 8574680, Baltimore, MD, study of mean sea level: the arithmetic mean of hourly heights observed over the National Tidal Datum Epoch (as defined by NOAA) in units of meter on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Baltimore Ecosystem Study LTER (BES) contains mean sea level: the arithmetic mean of hourly heights observed over the National Tidal Datum Epoch (as defined by NOAA) measurements in meter units and were aggregated to a yearly timescale.
Georgia Coastal Ecosystems site, station NOAA Station 8670870, Ft. Pulaski, GA, study of mean sea level: the arithmetic mean of hourly heights observed over the National Tidal Datum Epoch (as defined by NOAA) in units of meter on a monthly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Georgia Coastal Ecosystems (GCE) contains mean sea level: the arithmetic mean of hourly heights observed over the National Tidal Datum Epoch (as defined by NOAA) measurements in meter units and were aggregated to a monthly timescale.
Georgia Coastal Ecosystems site, station NOAA Station 8670870, Ft. Pulaski, GA, study of mean sea level: the arithmetic mean of hourly heights observed over the National Tidal Datum Epoch (as defined by NOAA) in units of meter on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Georgia Coastal Ecosystems (GCE) contains mean sea level: the arithmetic mean of hourly heights observed over the National Tidal Datum Epoch (as defined by NOAA) measurements in meter units and were aggregated to a yearly timescale.
Quadratic Arithmetic Programs used for testing
<p>Quadratic arithmetic programs used for benchmarking results presented in section 5.1</p> <p>Hardware used: Text editor, Python script</p> <p>Data format: Text files</p> <p>Source: Randomly generated with Python script mvp.py from http://security1.win.tue.nl/~meilof/files/verifiability/trinocchio-0.1.zip</p> <p>Number of samples: 2</p> <p>Size per sample: 203428, 571046 eqs</p>
An Efficient Implementation of Online Arithmetic -- Data set
<p>This is the released dataset for 'An Efficient Implementation of Online Arithmetic'</p>
FIGURE 5b. The arithmetic mean and 99 in Cave shrimps Troglocaris s. str. (Dormitzer, 1853), taxonomic revision and description of new taxa after phylogenetic and morphometric studies
FIGURE 5b. The arithmetic mean and 99 % confidence interval (where N> 10) of the most discriminating morphological characters (MC) for six phylogroups of Troglocaris s. str. For explanation of MCs' symbols, see taxonomic descriptions in the text. Note that T. (T.) a. – E-Slo contains T. (T.) a. anophthalmus (T. a. a.), T. (T.) a. intermedia (T. a. i.) and T. (T.) a. ocellata (T. a. o.); T. a. p. – T. (T.) a. periadriatica; T. a. s. – T. (T.) a. sontica, T. a. l. – T. (T.) a. legovici.
FIGURE 5a. The arithmetic mean and 99 in Cave shrimps Troglocaris s. str. (Dormitzer, 1853), taxonomic revision and description of new taxa after phylogenetic and morphometric studies
FIGURE 5a. The arithmetic mean and 99 % confidence interval (where N> 10) of the most discriminating morphological characters (MC) for six phylogroups of Troglocaris s. str. For explanation of MCs' symbols, see taxonomic descriptions in the text. Note that T. (T.) a. – E-Slo contains T. (T.) a. anophthalmus (T. a. a.), T. (T.) a. intermedia (T. a. i.) and T. (T.) a. ocellata (T. a. o.); T. a. p. – T. (T.) a. periadriatica; T. a. s. – T. (T.) a. sontica, T. a. l. – T. (T.) a. legovici.
Monte Carlo Arithmetic Instrumented DeepGOPlus Protein Function Predictions
<p>This dataset contains the perturbed protein function predictions by the DeepGOPlus model excluding the Diamond tool component. The model was perturbed with Verrou, an implementation of Monte Carlo Arithmetic (MCA), a stochastic arithmetic technique that injects noise into a program that simulates changes in a user's execution environment. The folders contain pkl files that can be read with the Pandas python library to load up dataframes containing the predictions and original values. Each file is one MCA sample run across the entire DeepGOPlus test set.</p> <p>The folder "Verrou_All" contains predictions where the entirety of the model was instrumented with MCA.</p> <p>The folder "Verrou_TF" contains predictions where only the Tensorflow library was instrumented with MCA.</p> <p>The folder "Fuzzy_Python" contains predictions where only the Python interpreter was instrumented with MCA.</p> <p>The folder "VPREC_Outbound_Mode" contains predictions where the virtual precision of the floating point operations was reduced witht the VPREC precision simulator tool in outbound mode.</p> <p>The folder "VPREC_Inbound_Mode" contains predictions where the virtual precision of the floating point operations was reduced witht the VPREC precision simulator tool in inbound mode.</p> <p>More information can be found by consulting <a href="https://arxiv.org/abs/2212.06361">this paper</a> or <a href="https://github.com/big-data-lab-team/deepgoplus-stability">this Github repository</a>.</p>
ARITHMETIC OPERATIONS IN THE ELEMENTARY MATHEMATICS CLASS AND METHODS OF THEIR STUDY.
<p><i>В данной статье рассматривается вопрос о том, что при формировании умственного мышления у учащихся начального класса с помощью арифметических заданий повышаются их интеллектуальные способности.</i><strong> </strong></p>
Cerebral Bases of Arithmetics Processing
ClinicalTrials.gov study NCT02899676. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Arithmetic Abilities in Children With 22q11.2DS
ClinicalTrials.gov study NCT04373226. IPD Sharing: NO. Countries: 1. Publications: 1.
ABOUT THE BASIC CONCEPTS OF ARITHMETIC AND OPERATIONS PERFORMED ON THEM
Open the record for dataset details and reuse information.
Pre-Arithmetic Behaviors: Systematic Review and Proposed Definition
<p>Included Studies and sources (start software)</p>
Proof of the Collatz Conjecture and Application of Alternator Arithmetic #### Abstract
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Figure 1. Unweighted Pair Group Method with Arithmetic Mean-dendrogram showing clustering pattern for 26 in Intra and inter-monkey transmission of bacteria in wild black capuchins monkeys (Sapajus nigritus): a preliminary study
Figure 1. Unweighted Pair Group Method with Arithmetic Mean-dendrogram showing clustering pattern for 26 genotypes of enterococci isolated from paired oral (O) and rectal (R) swabs of black capuchin monkeys (Sapajus nigritus-SN). UPGMA using Sorensen-Dice coefficients of similarity (> 75%).
ORGANIZING A MENTAL ARITHMETIC COURSE AND ASSISTING STUDENTS WORKING IN GROUPS
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