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Variaciones en un transecto profundo frente a la costa de Nayarit, México
Emilio Palacios Hernández Luis Brito Castillo LAURA ELENA CARRILLO BIBRIEZCA CARLOS EDUARDO CABRERA RAMOS JORGE MANUEL MONTES ARECHIGA (2022, [Artículo])
"Six oceanographic cruises in a NE-SW transect were made nearshore of southern Sinaloa and Nayarit from March 2006 through May 2008, where no in situ hydrographic data are available. Applying the Thermodynamic Equation of Seawater 2010 (TEOS-10) to the observations, the hydrography and geostrophic currents of the region were characterized. Results indicate that surface variability (0-50 m) emerged mainly from seasonal atmospheric forcing. A relative salinity maximum was present during all cruises below this surface layer, which is attributed to a water mass intrusion of Subtropical Subsurface Water that could be associated with the Mexican Coastal Current. Another water mass intrusion is from the California Current. Samples from the 2007-2008 La Niña produced an uncommon circulation, where water flowing from the Gulf of California along the coast of Sinaloa was observed, opposite to what is commonly known as a mean circulation. This uncommon circulation matches the generation of anticyclonic eddies around the Islas Marias archipelago."
Gulf of California, Mexican Coastal Current, Nayarit Coast, seasonal variation, La Niña CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA CIENCIAS DE LA TIERRA Y DEL ESPACIO OCEANOGRAFÍA OCEANOGRAFÍA DESCRIPTIVA OCEANOGRAFÍA DESCRIPTIVA
Lovemore Chipindu Walter Mupangwa Isaiah Nyagumbo Mainassara Zaman-Allah (2023, [Artículo])
Autoregressive Integrated Moving Average Facebook Prophet Hidden Markov Model Regression Regression with Hidden Logistic Process CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA COASTAL AREAS SEMIARID ZONES SUBHUMID ZONES RAINFALL CLIMATE CHANGE
Maintenance of Coastal Surface Blooms by Surface Temperature Stratification and Wind Drift
MARY CARMEN RUIZ DE LA TORRE (2013, [Artículo])
Algae blooms are an increasingly recurrent phenomenon of potentially socio-economic impact in coastal waters globally and in the coastal upwelling region off northern Baja California, Mexico. In coastal upwelling areas the diurnal wind pattern is directed towards the coast during the day. We regularly found positive Near Surface Temperature Stratification (NSTS), the resulting density stratification is expected to reduce the frictional coupling of the surface layer from deeper waters and allow for its more efficient wind transport. We propose that the net transport of the top layer of approximately 2.7 kilometers per day towards the coast helps maintain surface blooms of slow growing dinoflagellate such as Lingulodinium polyedrum. We measured: near surface stratification with a free-rising CTD profiler, trajectories of drifter buoys with attached thermographs, wind speed and direction, velocity profiles via an Acoustic Doppler Current Profiler, Chlorophyll and cell concentration from water samples and vertical migration using sediment traps. The ADCP and drifter data agree and show noticeable current shear within the first meters of the surface where temperature stratification and high cell densities of L. polyedrum were found during the day. Drifters with 1m depth drogue moved towards the shore, whereas drifters at 3 and 5 m depth showed trajectories parallel or away from shore. A small part of the surface population migrated down to the sea floor during night thus reducing horizontal dispersion. The persistent transport of the surface bloom population towards shore should help maintain the bloom in favorable environmental conditions with high nutrients, but also increasing the potential socioeconomic impact of the blooms. The coast wise transport is not limited to blooms but includes all dissolved and particulate constituents in surface waters. © 2013 Ruiz-de la Torre et al.
chlorophyll, algal bloom, article, cell count, cell density, coastal waters, controlled study, dinoflagellate, Lingulodinium polyedrum, meteorological phenomena, Mexico, near surface temperature stratification, nonhuman, nutrient concentration, popul CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA CIENCIAS DE LA TIERRA Y DEL ESPACIO OCEANOGRAFÍA OCEANOGRAFÍA
MAURO WILFRIDO SANTIAGO GARCIA (2019, [Artículo])
Gap wind jets (Tehuano winds) trigger supersquirts of colder water and mesoscale asymmetric dipoles in the Gulf of Tehuantepec (GT). However, the effects of successive gap wind jets on dipoles and their effects inside eddies have not yet been studied. Based on the wind fields, geostrophic currents, and surface drifter dispersion, this research documented three dipoles triggered and modified by Tehuano winds. Once a dipole develops, successive gap wind jets strengthen the vortices, and the anticyclonic eddy migrates southwestward while the cyclonic eddy is maintained on the east side of the GT. During the wind relaxation stage, the cyclonic eddy may propagate westward, but due to the subsequent re-intensification of the Tehuano winds, the vortex could break down, as was suggested by surface drifter dispersion pattern and geostrophic field data. The effect of the Tehuano winds was evaluating via eddy-Ekman pumping. Under Tehuano wind conditions, Ekman downwelling (upwelling) inside the anticyclonic (cyclonic) eddies may reach ~ -2.0 (0.5) m d-1 and decrease as the wind weakens. In the absence of Tehuano winds, Ekman downwelling inside the anticyclonic eddy was ~ 0.1 (-0.1) m d-1. The asymmetry of downwelling and upwelling inside eddies during Tehuano wind events may be associated with Tehuano wind forcing. © 2019 Santiago-García et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
article, dipole, leisure, Mexico, cold, ecosystem, factual database, geographic mapping, hurricane, Mexico, satellite imagery, season, water flow, wind, sea water, Cold Temperature, Cyclonic Storms, Databases, Factual, Ecosystem, Geographic Mapping, CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA CIENCIAS DE LA TIERRA Y DEL ESPACIO OCEANOGRAFÍA OCEANOGRAFÍA
Marrit Van den Berg Jason Donovan (2023, [Artículo])
Living in poverty can present cognitive biases that exacerbate constraints to achieving healthier diets. Better diets could imply food choice upgrades within certain food categories, such as electing processed foods with an improved nutritional profile. This study evaluated the influence of monetary and health concerns on the willingness to pay (WTP) for healthier processed foods in a low-income section of Mexico City. We employed priming techniques from the scarcity literature, which are applied for the first time to healthier food purchasing behaviours in low-income settings. Our predictions are based on a dual system framework, with choices resulting from the interaction of deliberative and affective aspects. The WTP was elicited through a BDM mechanism with 423 participants. Results showed that induced poverty concerns reduced the valuations of one of the study's healthier food varieties by 0.17 standard deviations. The latter effect did not differ by income level. The WTP for a healthier bread product but one with relatively high sugar and fat content was reduced by induced poverty concerns only among certain consumers without bread purchasing restrictions (78% of the sample). Potential mechanisms were assessed through regression analysis and structural equation modelling. The relationship between poverty concerns and WTP was mediated by increased levels of stress. While we could not rule out impact on cognitive load, it was not deemed a mediator in this study. Our findings signal that improvements in economic and psychological well-being among low-income consumers may aid to increase their demand for healthier processed foods.
Healthier Diets Poverty Psychology Dual System Model CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA DIET POVERTY PSYCHOLOGY STRESS WILLINGNESS TO PAY
Genetic variability for aluminium tolerance in sunflower (Helianthus annuus L.)
Subhash Chander Ana Luisa Garcia-Oliveira (2022, [Artículo])
Characterization Variability CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA ALUMINIUM TOXICITY STRESS SUNFLOWERS GENETIC VARIATION
Amsal Tarekegne Dagne Wegary Gissa Jill Cairns Mainassara Zaman-Allah Yoseph Beyene Adefris Teklewold Kindie Tesfaye MacDonald Jumbo Biswanath Das THOKOZILE NDHLELA Xavier Mhike Prasanna Boddupalli (2024, [Artículo])
Early-Maturity Stress Tolerance CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA DROUGHT TOLERANCE EARLY MATURATION GENETIC GAIN HYBRIDS STRESS MAIZE
Luis Ricardo Uribe Dávila (2023, [Tesis de maestría])
Vivimos la industria 4.0, misma que no es nueva, ya que sus orígenes se remontan a finales de la década de los 2000, en Alemania. Un pilar de la industria 4.0 es el análisis de datos, conocido como Big Data. El conocer los datos de un proceso, de un estudio, ayuda en gran medida a predecir el comportamiento que tendrá el proceso o la máquina a estudiar en un periodo a corto o mediano plazo. En el presente proyecto se analizan los datos arrojados por un motor eléctrico de corriente alterna, del tipo inducción, jaula de ardilla. El motor está diseñado para trabajar de manera continua, sin embargo, el uso que se le da, es meramente educativo; es decir, no sobre pasa las 15 horas por semana de uso. Mediante la toma de datos de las tres fases de corriente RMS o corriente de valor eficaz que posee el motor eléctrico que se realizará con el microcontrolador Arduino UNO, se analizarán los mismos mediante el software de cómputo numérico MATLAB, ordenando los datos, descartando valores que no aporten información relevante para lograr la predicción de datos. Por último, se llevará a conocer este proyecto a la carrera mecatrónica, área sistemas de manufactura flexible y área automatización, con el fin de que puedan observar de una mejor manera la aplicación y funcionamiento de uno de los pilares de la actual industria 4.0.
We live in industry 4.0, which is not new, since its origins date back to the late 2000s, in Germany. One pillar of industry 4.0 is data analysis, known as Big Data. Knowing the data of a process, of a study, helps greatly to predict the behavior that the process or machine will have to study in a short- or medium-term period. This project analyzes the data released by an electric motor of alternating current, of the type induction, squirrel cage. The engine is designed to work continuously, however, the use given to it is merely educational, that is; only not over spends 15 hours per week of use. By taking data from the three phases of RMS current or effective value current of the electric motor that will be made with the Arduino UNO micro controller, they will be analyzed using MATLAB numerical computing software, ordering the data, discarding values that do not provide relevant information to achieve data prediction. Finally, this project will be presented to the mechatronics career, flexible manufacturing systems area and automation area, so that they can observe in a better way the application and operation of one of the pillars of the current industry 4.0.
Mantenimiento predictivo Regresión lineal Industria 4.0 Big data Corriente RMS Predictive maintenance Linear regression Industry 4.0 Big data RMS Current INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS OTRAS ESPECIALIDADES TECNOLÓGICAS OTRAS OTRAS
Hussein Shimelis Baloua Nébié Chris Ojiewo Abhishek Rathore (2023, [Artículo])
Heterotic Grouping Breeding Population Development Marker-Assisted Cultivar Development CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA POPULATION STRUCTURE GENE FLOW SINGLE NUCLEOTIDE POLYMORPHISMS SORGHUM BICOLOR BREEDING PROGRAMMES
Population genetic structure of the maize weevil, Sitophilus zeamais, in southern Mexico
Michael Jones Martha Willcox (2023, [Artículo])
Maize Weevil Genetic Structure CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA AGRICULTURAL WORKERS FILTRATION GENE FLOW MAIZE SINGLE NUCLEOTIDE POLYMORPHISM SITOPHILUS ZEAMAIS CURCULIONIDAE