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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

The Banana MaWRKY18, MaWRKY45, MaWRKY60 and MaWRKY70 Genes Encode Functional Transcription Factors and Display Differential Expression in Response to Defense Phytohormones

SERGIO GARCIA LAYNES VIRGINIA AURORA HERRERA VALENCIA Lilia Guadalupe Tamayo Torres VERONICA LIMONES BRIONES FELIPE ALONSO BARREDO POOL FRAY MARTIN BAAS ESPINOLA Ángel Gabriel Alpuche Solís CARLOS ALBERTO PUCH HAU SANTY PERAZA ECHEVERRIA (2022, [Artículo])

"WRKY transcription factors (TFs) play key roles in plant defense responses through phytohormone signaling pathways. However, their functions in tropical fruit crops, especially in banana, remain largely unknown. Several WRKY genes from the model plants rice (OsWRKY45) and Arabidopsis (AtWRKY18, AtWRKY60, AtWRKY70) have shown to be attractive TFs for engineering disease resistance. In this study, we isolated four banana cDNAs (MaWRKY18, MaWRKY45, MaWRKY60, and MaWRKY70) with homology to these rice and Arabidopsis WRKY genes. The MaWRKY cDNAs were isolated from the wild banana Musa acuminata ssp. malaccensis, which is resistant to several diseases of this crop and is a progenitor of most banana cultivars. The deduced amino acid sequences of the four MaWRKY cDNAs revealed the presence of the conserved WRKY domain of ~60 amino acids and a zinc-finger motif at the N-terminus. Based on the number of WRKY repeats and the structure of the zinc-finger motif, MaWRKY18 and MaWRKY60 belong to group II of WRKY TFs, while MaWRKY45 and MaWRKY70 are members of group III. Their corresponding proteins were located in the nuclei of onion epidermal cells and were shown to be functional TFs in yeast cells. Moreover, expression analyses revealed that the majority of these MaWRKY genes were upregulated by salicylic acid (SA) or methyl jasmonate (MeJA) phytohormones, although the expression levels were relatively higher with MeJA treatment. The fact that most of these banana WRKY genes were upregulated by SA or MeJA, which are involved in systemic acquired resistance (SAR) or induced systemic resistance (ISR), respectively, make them interesting candidates for bioengineering broad-spectrum resistance in this crop."

Banana Transcription factor WRKY Defense phytohormones Salicylic acid Methyl jasmonate SAR ISR Broad-spectrum resistance BIOLOGÍA Y QUÍMICA CIENCIAS DE LA VIDA GENÉTICA GENÉTICA

Agroecology can promote climate change adaptation outcomes without compromising yield in smallholder systems

Sieglinde Snapp Yodit Kebede Eva Wollenberg (2023, [Artículo])

A critical question is whether agroecology can promote climate change mitigation and adaptation outcomes without compromising food security. We assessed the outcomes of smallholder agricultural systems and practices in low- and middle-income countries (LMICs) against 35 mitigation, adaptation, and yield indicators by reviewing 50 articles with 77 cases of agroecological treatments relative to a baseline of conventional practices. Crop yields were higher for 63% of cases reporting yields. Crop diversity, income diversity, net income, reduced income variability, nutrient regulation, and reduced pest infestation, indicators of adaptative capacity, were associated with 70% or more of cases. Limited information on climate change mitigation, such as greenhouse gas emissions and carbon sequestration impacts, was available. Overall, the evidence indicates that use of organic nutrient sources, diversifying systems with legumes and integrated pest management lead to climate change adaptation in multiple contexts. Landscape mosaics, biological control (e.g., enhancement of beneficial organisms) and field sanitation measures do not yet have sufficient evidence based on this review. Widespread adoption of agroecological practices and system transformations shows promise to contribute to climate change services and food security in LMICs. Gaps in adaptation and mitigation strategies and areas for policy and research interventions are finally discussed.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CLIMATE CHANGE CROPS FOOD SUPPLY GAS EMISSIONS GREENHOUSE GASES FARMING SYSTEMS AGROECOLOGY FOOD SECURITY LESS FAVOURED AREAS SMALLHOLDERS YIELDS NUTRIENTS BIOLOGICAL PEST CONTROL CARBON SEQUESTRATION LEGUMES

La diáspora sij y su transnacionalización religiosa en México

Greta Alvarado Lugo (2024, [Tesis de doctorado])

"Esta tesis desprende el objetivo principal, centrado en: Analizar, desde una perspectiva antropológica, los procesos y estrategias socioculturales que la comunidad sij (migrantes y mexicanos) ha configurado para asentarse en México".

Vida social y costumbres -- Monoteísmo -- Sij -- México Religión y sociología -- Migración -- México Sijismo -- Indios de México -- Cultura HUMANIDADES Y CIENCIAS DE LA CONDUCTA ANTROPOLOGÍA ANTROPOLOGÍA

A Comparison of Multi-Label Text Classification Models in Research Articles Labeled With Sustainable Development Goals

Roberto Carlos Morales-Hernández Joaquín Gutiérrez Jaguey David Becerra-Alonso (2022, [Artículo])

"The classification of scientific articles aligned to Sustainable Development Goals is crucial for research institutions and universities when assessing their influence in these areas. Machine learning enables the implementation of massive text data classification tasks. The objective of this study is to apply Natural Language Processing techniques to articles from peer-reviewed journals to facilitate their classification according to the 17 Sustainable Development Goals of the 2030 Agenda. This article compares the performance of multi-label text classification models based on a proposed framework with datasets of different characteristics. The results show that the combination of Label Powerset (a transformation method) with Support Vector Machine (a classification algorithm) can achieve an accuracy of up to 87% for an imbalanced dataset, 83% for a dataset with the same number of instances per label, and even 91% for a multiclass dataset."

Classification algorithm, multi-label text classification, problem transformation method, scientific articles, sustainable development goals, text classification INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS TECNOLOGÍA DE LOS ORDENADORES LENGUAJES ALGORÍTMICOS LENGUAJES ALGORÍTMICOS