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17 results for “AEP”
Figure 2. Example AEP-Selecting Operations for Assembler Encoding
<p>Figure 2. Example AEP and its NDM (AEP presented on the right includes four operations and four memory<br> cells. Operation 0 updates a single entry in NDM. To this end, it uses three consecutive memory cells. The first<br> two cells store an address to the element in NDM being updated. To determine the final address of the element<br> mentioned, values of registers are also used. The third memory cell used by Operation 0 stores a new value for<br> the element. The value is scaled before NDM is updated. A pointer to the memory part of AEP where three cells<br> used by Operation 0 are located is included in Operation itself.)</p>
Figure 7. Using ADDN and DELN by AEP-Selecting Operations for Assembler Encoding
<p>In addition to the operations whose task is to modify a content of NDM, AE also uses<br> a jump operation denoted as JMP. The jump makes it possible to repeatedly use the same code<br> of AEP in different places of NDM. It is possible thanks to changing values of the registers<br> once the jump is run. An example use of the jump is demonstrated in Fig 6. The program<br> presented in the figure proceeds as follows. First, both registers are initiated to 0. Then, the<br> first two operations are carried out, the result of which is visible in the top left corner of<br> NDM. In the next step, the jump, denoted in the figure as JMP(0,2,0,*), is run. It first<br> updates values of the registers and then control goes back to the first operation of AEP. R1 is<br> set to 0 (Memory cell 0) whereas R2 to 2 (Memory cell 1). At this point, the two operations<br> preceding the jump are carried out once again. This time, however, both operations update a<br> different fragment of NDM. Since the jump is run twice, each time with different values of<br> the registers, the first two operations of AEP are executed in three different areas of NDM.</p>
Figure 8. AEP encoding scheme-Selecting Operations for Assembler Encoding
<p>Each population delegates exactly one representative to each AEP.<br> In the beginning, AEPs have only one operation and a sequence of data. Both the operation<br> and data come from two different populations. Further populations including operations are<br> successively added if AEPs cannot accomplish progress in performance over the assumed<br> number of co-evolutionary cycles (we use term “co-evolutionary cycle” to differ it from the<br> evolutionary generation that takes place inside a single population with operations and data).</p>
Dataset: American Electric Power Company, Inc. (AEP) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: American Electric Power Company, Inc. (AEP) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Supporting materials for the methodology for optimal combinations of agroecological practices (AEPs)
<p><span>The assessment framework is developed by first reviewing existing agroecological sustainability assessment tools. Indicators are collected based on literature review. Then they are synthesized into the holistic agroecology assessment framework. New indicators are developed during the project and are also used to address any context-specific data needs or cover gaps of the existing tools. </span></p>
Methodology for optimal combinations of agroecological practices (AEPs)
<table> <tbody> <tr> <td>The assessment framework is developed by first reviewing existing agroecological sustainability assessment tools. Indicators are collected based on literature review. Then they are synthesized into the holistic agroecology assessment framework. New indicators are developed during the project and are also used to address any context-specific data needs or cover gaps of the existing tools.<span> </span></td> </tr> </tbody> </table>
A Media Based Motivational Intervention to Prevent Alcohol Exposed Pregnancies (AEPs)
ClinicalTrials.gov study NCT00219336. IPD Sharing: NO. Countries: 1. Publications: 1.
Analysis of gene expression in MyD88-Knockdown-Hydra vulgaris (AEP)
GEO Series GSE32383. Hydra vulgaris. 11 samples. Type: Expression profiling by array.
Grid data for AEPs
<p>The associated grid data for the AEPs presented in Sonnewald et al. "Elucidating Ecological Complexity: Unsupervised Learning determines global marine eco-provinces".</p>
Automated Embedded Polysomnography (AEP)
ClinicalTrials.gov study NCT03067233. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Optimizing a Digital AEP Risk Intervention With Native Women and Communities
ClinicalTrials.gov study NCT06324929. IPD Sharing: YES. Countries: 1. Publications: 0.
The Effect of an AEP on Patient's Knowledge Regarding Asthma Disease and Inhaler Technique: RCT
ClinicalTrials.gov study NCT02715219. IPD Sharing: YES. Countries: 0. Publications: 0.
Control and Linc-AAM (a lincRNA associated with activated macrophages) knockdown RAW264.7 cells expression profiling under AEPS (the polysaccharide from the roots of Actinidia eriantha) stimulation
GEO Series GSE120788. Mus musculus. 4 samples. Type: Expression profiling by array.
Transcriptome profile in RAW264.7 cells in response to the polysaccharide from the roots of Actinidia eriantha (AEPS)
GEO Series GSE120832. Mus musculus. 6 samples. Type: Expression profiling by array.
Transcriptome profile of peritoneal lavage in response to adjuvants Alum and the polysaccharide from the roots of Actinidia eriantha (AEPS)
GEO Series GSE124938. Mus musculus. 5 samples. Type: Expression profiling by array.
COVID-19 US Teachers AEP
<p>Clean dataset for COVID-19 US Teachers from the American Educator Panel</p>
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OpenNeuro
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