The contribution of strong and weak ties to resilience: The case of small-scale maize farming systems in Mexico

Tania Carolina Camacho Villa Ernesto Adair Zepeda Villarreal Julio Díaz-José Roberto Rendon-Medel Bram Govaerts (2023, [Artículo])

Social Network Analysis Farm Typologies Social Ties Strong Ties CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA INNOVATION NETWORKS PERSISTENCE SOCIAL NETWORK ANALYSIS MAIZE FARMING SYSTEMS

From character to person. A contribution to the study of characterization of real people in factual narrative texts   

Martín Ignacio Koval (2023, [Artículo, Artículo])

In this paper we propose some arguments in favor of the terminological differentiation between agents in fictional settings (characters) and those in factual settings (people, actors, etc.), and nevertheless we suggest the applicability of the tools of narratology to factual journalistic texts. Then, we propose an analytical-descriptive model -conceived only as provisional- which, although it resorts to traditional tools of narratology "in the strict sense" (that is, the one that deals exclusively with fictional texts), tries to do justice to the aforementioned categorical difference between fictional and factual texts insofar as it is accompanied, in the presentation, by a series of mediations that allow the extrapolation from one setting to the other. This model will be explained on the basis of the analysis of a fragment of a recently published journalistic chronicle, referring to the death of the Argentine soccer player Diego Maradona.

factualidad personaje persona caracterización reacción afectiva HUMANIDADES Y CIENCIAS DE LA CONDUCTA HUMANIDADES Y CIENCIAS DE LA CONDUCTA Factuality character person characterization affective reaction

Modeling spatiotemporal patterns of land use/land cover change in Central Malawi using a neural network model

Leah Mungai Joseph Messina Leo Zulu Jiaguo Qi Sieglinde Snapp (2022, [Artículo])

Multilayer Perceptrons CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA AGRICULTURE LAND USE POPULATION SATELLITE IMAGERY TEXTURE LAND COVER NEURAL NETWORKS REMOTE SENSING

Synthesis of hollow carbon spheres by chemical activation of carbon nanoparticles for their use in electrochemical capacitor

Cesar Eduardo Sanchez Rodriguez EDUARDO TOVAR MARTINEZ MARISOL REYES REYES Luis Felipe Cházaro Ruiz ROMAN LOPEZ SANDOVAL (2022, [Artículo])

"Naphthalene combustion has been used to synthesize grams per hour of solid carbon spheres (CS). The carbon soot was activated by acid treatment consisting in a mixture of HNO3 and H2SO4 (1/3 v/v) to produce hollow carbon spheres (HCS). The effect of two concentrations of CSs (5 and 10 mg mL−1) in the acid mixture, on the physicochemical properties of the activated HCSs was studied. The HSCs were subjected to a thermal treatment to increase their graphitization to enhance their electrical conductivity. High-resolution transmission electron microscopy confirmed the formation of HCSs due to the acid treatment whereas FTIR spectra showed that the chemical activation produced functional groups on the carbon spheres surface and the heat treatment effect to remove some of them as well. A specific surface area of 300 m2 g−1 and a large density of micropores for the acid-treated CSs as well as the heat-treated CSs were estimated by analysis of N2 adsorption-desorption isotherms. A specific capacitance 70 F g−1 was calculated by cyclic voltammetry of the acid and thermally treated HCSs at 5 mV s−1, for both CS concentrations, indicating the possibility of synthesizing these HCSs using a simple method in large quantities for their use in electrochemical capacitors."

Physicochemical properties Carbon nanoparticles Chemical activation Electrochemical capacitor BIOLOGÍA Y QUÍMICA QUÍMICA QUÍMICA

The Chemical Evolution of Narrow Emission Line Galaxies: the Key to their Formation Processes

JUAN PABLO TORRES PAPAQUI ROGER COZIOL RENE ALBERTO ORTEGA MINAKATA (2011, [Artículo])

Using the largest sample of narrow emission line galaxies available so far, we show that their spectral characteristics are correlated with different physical parameters, like the chemical abundances, the morphologies, the masses of the bulge and the mean stellar age of the stellar populations of the host galaxies. It suggests that the spectral variations observed in standard spectroscopic diagnostic diagrams are not due solely to variations of ionization parameters or structures but reflect also the chemical evolution of the galaxies, which in turn can be explained by different galaxy formation processes.

Utilizando la mayor muestra de galaxias con líneas de emisión angostas disponible hasta el momento, se muestra que sus características espectrales están correlacionadas con diferentes parámetros físicos, como las abundancias químicas, las morfologías, las masas del bulbo, y la edad estelar promedio de las poblaciones estelares de la galaxia anfitrio-na. Por lo tanto, se sugiere que las variaciones espectrales observadas en diagramas de diagnóstico estándares no se deben únicamente a las variaciones de los parámetros o las estructuras de ionización, sino que reflejan también la evolución química de las galaxias, relacionada con diferentes procesos de formación

CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA Galaxy Chemical Activity Formation Chemical evolution Galaxias Actividad química Formación Evolución química

Chapter 9. Genome-informed discovery of genes and framework of functional genes in wheat

awais rasheed Rudi Appels (2024, [Capítulo de libro])

Wheat Genomics KASP Markers Gene Discovery Functional Markers Gene Networks CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA WHEAT GENOMICS SINGLE NUCLEOTIDE POLYMORPHISMS FUNCTIONAL GENOMICS

Difusión de cursos que la Fundación Carlos Slim ofrece en aprende.org

Cesar Petroli (2021, [Poster de congreso])

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA TRAINING AGRICULTURAL TRAINING SOCIAL NETWORKS TRAINING COURSES SUSTAINABLE AGRICULTURE

E. African spring wheat breeding pipeline and Network (CIMMYT-KALRO)

sridhar bhavani (2023, [Objeto de congreso])

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA WHEAT PLANT BREEDING RESEARCH NETWORKS

Multi-environment genomic prediction of plant traits using deep learners with dense architecture

Osval Antonio Montesinos-Lopez Jose Crossa (2018, [Artículo])

Shared Data Resources Deep Learning Genomic Prediction CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA ACCURACY GENOMICS NEURAL NETWORKS FORECASTING DATA MARKER-ASSISTED SELECTION

Sorghum value chain analysis in semi-arid Zimbabwe

Abbyssinia Mushunje Munyaradzi Junia Mutenje Charles Pfukwa (2019, [Artículo])

Small Scale Farmers Extension Networks CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA AGRO-INDUSTRIAL SECTOR MARKETING MARGINS SORGHUM VALUE CHAINS