Institution
Ensenada Center for Scientific Research and Higher Education
Facility•Ensenada, Mexico•
About: Ensenada Center for Scientific Research and Higher Education is a facility organization based out in Ensenada, Mexico. It is known for research contribution in the topics: Population & Nonlinear system. The organization has 1934 authors who have published 3733 publications receiving 63115 citations.
Papers published on a yearly basis
Papers
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TL;DR: An adaptive job allocation scheme named admissible allocation is proposed and analyzed, which aims to set job allocation constraints, and dynamically adapt them to cope with different workloads and Grid properties.
23 citations
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TL;DR: In this paper, the effects of two nitrogen sources (ammonium and nitrate) and two irradiance levels (50 and 200 μmol photons m−2 ǫ s−1) on the growth rate, cell size, proximate composition, pigment content, and photosynthesis of the unicellular red alga, Porphyridium cruentum, were determined.
Abstract: We determined the effects of two nitrogen sources (ammonium and nitrate) and two irradiance levels (50 and 200 μmol photons m−2 s−1) on the growth rate, cell size, proximate composition, pigment content, and photosynthesis of the unicellular red alga, Porphyridium cruentum. Irradiance significantly affects growth rate, as well as carbohydrate, protein, and phycoerythrin content. Nitrogen form significantly affects cell size, total dry weight, organic dry weight, ash content, carotene content, phycocyanin content, allophycocyanin content, maximum relative electron transport rate (rETRm), and photosynthetic efficiency (α). However, the irradiance and nitrogen source had significantly interaction with the content of lipids and chlorophyll a content, relative electron transport rate (rETR), and irradiance of saturation (Ik). These findings demonstrate that irradiance and nitrogen source influence the metabolism of P. cruentum and that the combination of these two variables induces the production of chemical products for biotechnological, aquaculture, and nutraceutical industry.
23 citations
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TL;DR: The output of four regional climate models (RCMs) from the Coordinated Regional Climate Downscaling Experiment (CORDEX)-North America (NA) region was analyzed for the 1990-2008 period, with particular interest on the mechanisms associated with wet and dry years over the North American Monsoon (NAM) core region.
Abstract: The output of four regional climate models (RCMs) from the Coordinated Regional Climate Downscaling Experiment (CORDEX)-North America (NA) region was analysed for the 1990–2008 period, with particular interest on the mechanisms associated with wet and dry years over the North American Monsoon (NAM) core region. All RCMs (RCA3.5, HadGEM3-RA, REMO, and RegCM4) were forced by the ERA-Interim reanalysis. Model precipitation was compared against several observational gridded data sets at different time scales. Most RCMs capture well the annual cycle of precipitation and outperform ERA-Interim, which is drier than the observations. RCMs underestimate (overestimate) the precipitation over the coastal plains (mountains) and have some problems to reproduce the interannual variability of the monsoon. To further investigate this, two extreme summers that showed the largest consistency among observations and RCMs were chosen: one wet (1990) and one dry (2005). The impact of the passage of tropical cyclones, the size of the Western Hemisphere Warm Pool (WHWP), the Intertropical Convergence Zone (ITCZ) position, and the initial intensity of the land–sea thermal contrast (LSTC) were analysed. During the wet year, the LSTC was stronger than the 2005 dry monsoon season and there were a larger number of hurricanes near the Gulf of California, the WHWP was more extended, and the ITCZ was located in a more northerly position than in 2005. All these processes contributed to a wetter NAM season. During the dry year, the LSTC was weaker, with a later onset, probably due to a previous very wet winter. The inverse precipitation relationship between winter and summer in the monsoon region was well captured by most of the RCMs. RegCM4 showed the largest biases and HadGEM3-RA the smallest ones.
23 citations
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TL;DR: The metamorphic basement of the Merida Andes in western Venezuela is constituted of paragneiss, orthogneiss, amphibolite, and metagranitoid of the Iglesias Complex.
Abstract: The metamorphic basement of the Merida Andes in western Venezuela is constituted of paragneiss, orthogneiss, amphibolite, and metagranitoid of the Iglesias Complex. In this paper, U–Pb zircon geoch...
22 citations
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05 Dec 2005TL;DR: Experimental results confirm the conflict among the considered objectives and offer important insights into the relationships between solution quality and process efficiency for high-accurate 3D reconstruction systems.
Abstract: In this work the problem of camera placement for automated visual inspection is studied under a multi-objective framework. Reconstruction accuracy and operational costs are incorporated into our methodology as separate criteria to optimize. Our approach is based on the initial assumption of conflict among the considered objectives. Hence, the expected results are in the form of Pareto optimal compromise solutions. In order to solve our optimization problem an evolutionary based technique is implemented. Experimental results confirm the conflict among the considered objectives and offer important insights into the relationships between solution quality and process efficiency for high-accurate 3D reconstruction systems.
22 citations
Authors
Showing all 1956 results
Name | H-index | Papers | Citations |
---|---|---|---|
Scott L. Stephens | 65 | 228 | 14311 |
Stephen V. Smith | 51 | 106 | 9235 |
Rodrigo Vargas | 49 | 183 | 10924 |
Salomon Bartnicki-Garcia | 46 | 96 | 7928 |
Sarah K. Spurgeon | 46 | 358 | 12231 |
Gloria Mark | 46 | 197 | 7426 |
Frank L. Vernon | 45 | 192 | 8765 |
Edwin L. Piner | 42 | 162 | 5020 |
Rafael Kelly | 38 | 142 | 5083 |
Gary J. Axen | 37 | 101 | 5397 |
Yury Orlov | 36 | 191 | 4160 |
Antonio Manuel Lazaro | 35 | 318 | 5219 |
Ingo Horn | 34 | 86 | 5359 |
Miguel F. Lavín | 34 | 86 | 3320 |
Francisco J. Beron-Vera | 32 | 116 | 3282 |