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43 resultados, página 1 de 5

Vida de un muerto. Entre nuestro universo y el otro

Nicolás Amoroso Boelcke (2023, [Capítulo de libro])

Capítulo número 3 de la Sección Imágenes y representaciones.

Se analiza el film Raymond & Ray, desde la construcción de la vida de Harris, personaje muerto desde el principio del film, y esto se hace mediante las palabras, no con escenas de la infancia que mencionan Raymond y Ray ni tampoco en las acciones que participa con los otros perso¬najes que hablan de él. Harris habita el filme desde las palabras.

Semiotics and motion pictures. Culture--Semiotic models. Dialogue analysis. Semiótica y cine. Análisis del diálogo. NX180.S46 HUMANIDADES Y CIENCIAS DE LA CONDUCTA CIENCIAS DE LAS ARTES Y LAS LETRAS TEORÍA, ANÁLISIS Y CRÍTICA DE LAS BELLAS ARTES CINEMATOGRAFÍA

La semiótica ataca de nuevo: diseño y prácticas semióticas

Olivia Fragoso-Susunaga (2023, [Capítulo de libro])

Capítulo número 3 de la Sección Abordajes semióticos.

Este trabajo hace una revisión del texto El campo de la semiótica visual. De los sistemas a las prácticas semióticas realizado por la Dra. Julieta Haidar en la Universidad Autónoma Metropolitana Azcapotzalco (UAM-A). El objetivo es señalar la relevancia que tiene el Modelo semiótico-discursivo transdisciplinario como aproximación teórico-metodológica para la comprensión del Diseño de la Comunicación Gráfica (DCG). La propuesta consiste en revisar los principales conceptos del Modelo expuestos por la autora en el citado texto y recuperar la memoria de las ideas formuladas en relación con la semiótica desde la División de Ciencias y Artes para el Diseño (CyAD) de la UAM-A al tiempo que se evidencia su vigencia y pertinencia para atender las problemáticas en el campo del diseño.

Communication in design. Visual communication. Semiotics. Comunicación en diseño. Comunicación visual. Semiótica. NC730 HUMANIDADES Y CIENCIAS DE LA CONDUCTA CIENCIAS DE LAS ARTES Y LAS LETRAS TEORÍA, ANÁLISIS Y CRÍTICA DE LAS BELLAS ARTES

Urban stories and representations in the cultural memory of the Main Square of Tunja, Colombia

Leonardo osorio (2021, [Artículo, Artículo])

The relations between history and memory in the urban space inherited from the Main Square of Tunja, Colombia, are questioned during the nineteenth century and the first half of the twentieth century, and the monumental, urban and architectural representations related to the processes of independence and revolution that impacted on the foundation of the Colombian state. The model of inquiry is inductive and qualitative, and involved the integration of historical and historiographical sources that were subjected to processes of analysis, reflection, and explanatory synthesis. As a result of this work, the narratives of the changes and prevalences that characterize the urban heritage of this foundational environment decisive for the understanding of urban and cultural history in Colombia are presented.

semiotics narratives historical city canon urban decoherence semiótica narrativas ciudad histórica decoherencia histórica HUMANIDADES Y CIENCIAS DE LA CONDUCTA HUMANIDADES Y CIENCIAS DE LA CONDUCTA

Optimizing nitrogen fertilizer and planting density levels for maize production under current climate conditions in Northwest Ethiopian midlands

Kindie Tesfaye Dereje Ademe Enyew Adgo (2023, [Artículo])

This study determined the most effective plating density (PD) and nitrogen (N) fertilizer rate for well-adapted BH540 medium-maturing maize cultivars for current climate condition in north west Ethiopia midlands. The Decision Support System for Agrotechnology Transfer (DSSAT)-Crop Environment Resource Synthesis (CERES)-Maize model has been utilized to determine the appropriate PD and N-fertilizer rate. An experimental study of PD (55,555, 62500, and 76,900 plants ha−1) and N (138, 207, and 276 kg N ha−1) levels was conducted for 3 years at 4 distinct sites. The DSSAT-CERES-Maize model was calibrated using climate data from 1987 to 2018, physicochemical soil profiling data (wilting point, field capacity, saturation, saturated hydraulic conductivity, root growth factor, bulk density, soil texture, organic carbon, total nitrogen; and soil pH), and agronomic management data from the experiment. After calibration, the DSSAT-CERES-Maize model was able to simulate the phenology and growth parameters of maize in the evaluation data set. The results from analysis of variance revealed that the maximum observed and simulated grain yield, biomass, and leaf area index were recorded from 276 kg N ha−1 and 76,900 plants ha−1 for the BH540 maize variety under the current climate condition. The application of 76,900 plants ha−1 combined with 276 kg N ha−1 significantly increased observed and simulated yield by 25% and 15%, respectively, compared with recommendation. Finally, future research on different N and PD levels in various agroecological zones with different varieties of mature maize types could be conducted for the current and future climate periods.

Maize Model Planting Density CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MAIZE MODELS SPACING NITROGEN FERTILIZERS YIELDS

Ablepsia congénita. Condición humana para una semiosis

JORGE EDUARDO ZARUR CORTÉS (2023, [Capítulo de libro])

Capítulo número 4 de la Sección El juego de los signos.

Las miradas que desde la discapacidad visual se dan, se vinculan –sin duda–, con la semiosis desde cierta acción, comportamiento o desarrollo que implica a los signos y su significado. La ablepsia congénita, como otra variedad perceptiva podría considerarse como una modalidad que tergiversa los conceptos visuales ante una reinterpretación de los acontecimientos. Sin embargo, también propone nuevas significaciones desde la subjetividad ante la realidad y/o la objetividad visual, conformándose otras realidades generadas ante la concepción de las cosas y del mundo en la indagación de los detalles de éstas y en el que la “vivencia” de las imágenes mentales se presentan para el ciego congénito como parte de sí o de otra realidad. Por lo tanto, ¿qué sentido le dan a los “signos” del entorno? y cómo estos son proveedores de información valiosa para concebir el ser y estar en un contexto en el que la oscuridad es permanente y la que los sonidos, olores, sabores y texturas lo orientan en lo no visual.

Communication--Social aspects. Semiotic--Social aspects. Social interaction. Comunicación visual. Semiótica. Interacción social. P95.54 HUMANIDADES Y CIENCIAS DE LA CONDUCTA CIENCIAS DE LAS ARTES Y LAS LETRAS

Sentido y significación del habla en la actuación

Claudia Fragoso Susunaga (2023, [Capítulo de libro])

Capítulo número 2 de la Sección El juego de los signos.

El objetivo de este texto es identificar los elementos de los actos de habla y la pragmática lingüística, que tienen que ver con procesos de significación e intención en la enunciación de un texto dramático-escénico o de algún personaje, pensando en las actividades de doblaje, radio-drama, videojuegos, audiolibros y la escena misma. Desarrollando, desde una visión transdisciplinaria la interacción de diferentes campos del conocimiento, como lo son el teatro, la semiótica y la lingüística e incluso todas aquellas disciplinas humanas que comprenden el habla y su interés en los procesos de comunicación. Las repercusiones de este análisis pueden recaer directamente en la formación y desempeño actoral, favoreciendo procesos de análisis de texto, en función a un enriquecimiento de la expresión comunicativa de actores y actrices.

Discourse analysis. Discourse analysis, Literary. Voice actors and actresses. Modality (Linguistics) Semiotics--Social aspects. Actores y actrices de doblaje. Análisis del discurso literario. Modalidad (Lingüística) Semiótica. PC5252 HUMANIDADES Y CIENCIAS DE LA CONDUCTA CIENCIAS DE LAS ARTES Y LAS LETRAS TEORÍA, ANÁLISIS Y CRÍTICA DE LAS BELLAS ARTES

Using an incomplete block design to allocate lines to environments improves sparse genome-based prediction in plant breeding

Osval Antonio Montesinos-Lopez ABELARDO MONTESINOS LOPEZ RICARDO ACOSTA DIAZ Rajeev Varshney Jose Crossa ALISON BENTLEY (2022, [Artículo])

Genomic selection (GS) is a predictive methodology that trains statistical machine-learning models with a reference population that is used to perform genome-enabled predictions of new lines. In plant breeding, it has the potential to increase the speed and reduce the cost of selection. However, to optimize resources, sparse testing methods have been proposed. A common approach is to guarantee a proportion of nonoverlapping and overlapping lines allocated randomly in locations, that is, lines appearing in some locations but not in all. In this study we propose using incomplete block designs (IBD), principally, for the allocation of lines to locations in such a way that not all lines are observed in all locations. We compare this allocation with a random allocation of lines to locations guaranteeing that the lines are allocated to

the same number of locations as under the IBD design. We implemented this benchmarking on several crop data sets under the Bayesian genomic best linear unbiased predictor (GBLUP) model, finding that allocation under the principle of IBD outperformed random allocation by between 1.4% and 26.5% across locations, traits, and data sets in terms of mean square error. Although a wide range of performance improvements were observed, our results provide evidence that using IBD for the allocation of lines to locations can help improve predictive performance compared with random allocation. This has the potential to be applied to large-scale plant breeding programs.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA Bayes Theorem Genome Inflammatory Bowel Diseases Models, Genetic Plant Breeding

Big data, small explanatory and predictive power: Lessons from random forest modeling of on-farm yield variability and implications for data-driven agronomy

Martin van Ittersum (2023, [Artículo])

Context: Collection and analysis of large volumes of on-farm production data are widely seen as key to understanding yield variability among farmers and improving resource-use efficiency. Objective: The aim of this study was to assess the performance of statistical and machine learning methods to explain and predict crop yield across thousands of farmers’ fields in contrasting farming systems worldwide. Methods: A large database of 10,940 field-year combinations from three countries in different stages of agricultural intensification was analyzed. Random effects models were used to partition crop yield variability and random forest models were used to explain and predict crop yield within a cross-validation scheme with data re-sampling over space and time. Results: Yield variability in relative terms was smallest for wheat and barley in the Netherlands and for wheat in Ethiopia, intermediate for rice in the Philippines, and greatest for maize in Ethiopia. Random forest models comprising a total of 87 variables explained a maximum of 65 % of cereal yield variability in the Netherlands and less than 45 % of cereal yield variability in Ethiopia and in the Philippines. Crop management related variables were important to explain and predict cereal yields in Ethiopia, while predictive (i.e., known before the growing season) climatic variables and explanatory (i.e., known during or after the growing season) climatic variables were most important to explain and predict cereal yield variability in the Philippines and in the Netherlands, respectively. Finally, model cross-validation for regions or years not seen during model training reduced the R2 considerably for most crop x country combinations, while for wheat in the Netherlands this was model dependent. Conclusion: Big data from farmers’ fields is useful to explain on-farm yield variability to some extent, but not to predict it across time and space. Significance: The results call for moderate expectations towards big data and machine learning in agronomic studies, particularly for smallholder farms in the tropics where model performance was poorest independently of the variables considered and the cross-validation scheme used.

Model Accuracy Model Precision Linear Mixed Models CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MACHINE LEARNING SUSTAINABLE INTENSIFICATION BIG DATA YIELDS MODELS AGRONOMY

Abduction according to Peirce: reflections from the south on the crisis of representation brought on by COVID-19

Paulina Aroch (2023, [Artículo, Artículo])

In this article, I reflect on the importance of abductive thinking for processes of material and conceptual reinvention in the context of the current public health crisis. Inseparable from the climate change engulfing the planet, this crisis provides the basis for a semiotic revolution. Therefore, I interrogate Peirce’s work without losing sight of my own time and place of interlocution. COVID-19 has brought with it a crisis of representation which, in contrast to that unleashed by the Holocaust and World War II, and to which the Frankfurt School responded, demands responses from the Global South. Beginning from Dussel’s call to defend life as a matter of ethical urgency in the face of its irresponsible objectification within colonial capitalist modernity –which arguably triggered the pandemic–, I trace a “nocturnal map” that registers the present meaning-making crisis, and allows for a reimagining and remaking of the world from elsewhere.

estudios de la comunicación semiótica crítica Sur Global crisis de representación COVID-19 HUMANIDADES Y CIENCIAS DE LA CONDUCTA HUMANIDADES Y CIENCIAS DE LA CONDUCTA Critical theory interdisciplinarity Global South crisis of representation