El corrido, voz del pueblo en Nuevo León

Tesis (Maestría en Letras Españolas) UANLUANLhttp://www.uanl.mx

A new narrative?. Three exponents of contemporary Latin American literature: Jorge Volpi, Martin Rejtman and Rodrigo Fresán

A partir de las propuestas de Jorge Volpi, Martín Rejtman y Rodrigo Fresán, autores latinoamericanos nacidos en la década de los sesenta, intentaremos dar cuenta de cómo esta narrativa enfrenta un cambio de paradigma resultado de los procesos contemporáneos marcados por la globalización. Ello se traduce en la exploración de una identidad desprendida ahora de lo local y en la configuración de unos personajes determinados por la inercia. En definitiva, estéticas que confluyen en la búsqueda de nuevas perspectivas con que enfrentar lo latinoamericanoIn this article we analyze the fiction of Jorge Volpi, Martín Rejtman and Rodrigo Fresán, Hispano-American writers born in the sixties. We focus on how this narrative undergoes a change of paradigm as a result of contemporary dynamics affected by Globalization. This literature explores an identity emerging from the loss of the «local» concerns (contradictory to «global»), as well as develops characters determined by inertia. In short, the aesthetics converge in search of new perspectives to confront Latin American issue

Alternative Calibration of Cup Anemometers: A Way to Reduce the Uncertainty of Wind Power Density Estimation

T1 Q1 (15/64 Instruments & Instrumentation, IF 2019= 3.275)This study presents a procedure to reduce the uncertainty of wind power density estimations, which is useful to improve the energy production predictions of wind farms. Power density is usually determined from the wind speed measured by a cup anemometer and the air density value (conventional procedure). An alternative procedure based on wind speed and dynamic pressure estimations provided by a cup anemometer is proposed. The dynamic pressure is obtained by means of a calibration curve that relates the anemometer rotation frequency and the dynamic pressure measured by a Pitot tube. The quadratic regression, used to define the calibration curve, and its uncertainty are both detailed. A comparison between the alternative procedure and the conventional one points out the advantage of the proposed alternative since results show a high reduction of the indirect measurement uncertainty of wind power density

High-Throughput System for the Early Quantification of Major Architectural Traits in Olive Breeding Trials Using UAV Images and OBIA Techniques

The need for the olive farm modernization have encouraged the research of more efficient crop management strategies through cross-breeding programs to release new olive cultivars more suitable for mechanization and use in intensive orchards, with high quality production and resistance to biotic and abiotic stresses. The advancement of breeding programs are hampered by the lack of efficient phenotyping methods to quickly and accurately acquire crop traits such as morphological attributes (tree vigor and vegetative growth habits), which are key to identify desirable genotypes as early as possible. In this context, an UAV-based high-throughput system for olive breeding program applications was developed to extract tree traits in large-scale phenotyping studies under field conditions. The system consisted of UAV-flight configurations, in terms of flight altitude and image overlaps, and a novel, automatic, and accurate object-based image analysis (OBIA) algorithm based on point clouds, which was evaluated in two experimental trials in the framework of a table olive breeding program, with the aim to determine the earliest date for suitable quantifying of tree architectural traits. Two training systems (intensive and hedgerow) were evaluated at two very early stages of tree growth: 15 and 27 months after planting. Digital Terrain Models (DTMs) were automatically and accurately generated by the algorithm as well as every olive tree identified, independently of the training system and tree age. The architectural traits, specially tree height and crown area, were estimated with high accuracy in the second flight campaign, i.e. 27 months after planting. Differences in the quality of 3D crown reconstruction were found for the growth patterns derived from each training system. These key phenotyping traits could be used in several olive breeding programs, as well as to address some agronomical goals. In addition, this system is cost and time optimized, so that requested architectural traits could be provided in the same day as UAV flights. This high-throughput system may solve the actual bottleneck of plant phenotyping of "linking genotype and phenotype," considered a major challenge for crop research in the 21st century, and bring forward the crucial time of decision making for breeders

Cyberbullying on Instagram: How Adolescents Perceive Risk in Personal Selfies?

The nature of social networking sites and the overconfidence and lack of awareness that characterize the adolescent stage favor the assumption of risk behaviors on Instagram (e.g., self-objectified photos, that is, photos showing sexualized body parts such as skin cleavage or the abdomen). Two experimental studies examine the social perceptions of adolescents regarding the risk of suffering from cyberbullying behaviors by posting selfies on Instagram. Study 1 (N = 373 adolescents) revealed that participants perceived more risk when an individual uploaded an objectified selfie (vs. a non-objectified). Participants perceived that the target will be more likely to suffer from cyberbullying behaviors when they: (a) uploaded on Instagram an objectified selfie (vs. a non-objectified) and (b) were female (vs. male). Study 2 (N = 210 adolescents) showed that when a girl (vs. a boy) uploaded an objectified selfie, participants perceived more risk in her behavior and perceived that she would be more likely to suffer from cyberbullying behaviors. Specifically, female adolescents (vs. males) perceived that a girl (vs. a boy) would be a target of cyberbullying behaviors to a greater extent. Finally, participants perceived that uploading an objectified photo was more risky when the target was a girl (vs. a boy), which led to suffering from cyberbullying behaviors to a greater extent. These results can help to further understand the risk to which adolescents are exposed on Instagram, being higher among adolescent girls. Therefore, this work highlights the importance of considering gender differences in the design of cyberbullying prevention programs.Spanish Ministry of Science and Innovation (Ref: PSI-2017-84703-R; PID2021-123125OB-100 [MINECO/AEI/FEDER/UE])Regional Ministry of Economy, Knowledge, Enterprise and Universities (CECEU) of Andalusia [B–SEJ–472–UGR18 (FEDER)]Grant PID2021-123125OB-100 funded by MCIN/AEI/ 10.13039/501100011033ERDF A way of making EuropeEuropean Union NextGenerationEU/PRT

Mathematical Modeling of Polyamine Metabolism in Mammals.

Polyamines are considered as essential compounds in living cells, since they are involved in cell proliferation, transcription, and translation processes. Furthermore, polyamine homeostasis is necessary to cell survival, and its deregulation is involved in relevant processes, such as cancer and neurodegenerative disorders. Great efforts have been made to elucidate the nature of polyamine homeostasis, giving rise to relevant information concerning the behavior of the different components of polyamine metabolism, and a great amount of information has been generated. However, a complex regulation at transcriptional, translational, and metabolic levels as well as the strong relationship between polyamines and essential cell processes make it difficult to discriminate the role of polyamine regulation itself from the whole cell response when an experimental approach is given in vivo. To overcome this limitation, a bottom-up approach to model mathematically metabolic pathways could allow us to elucidate the systemic behavior from individual kinetic and molecular properties. In this paper, we propose a mathematical model of polyamine metabolism from kinetic constants and both metabolite and enzyme levels extracted from bibliographic sources. This model captures the tendencies observed in transgenic mice for the so-called key enzymes of polyamine metabolism, ornithine decarboxylase, S-adenosylmethionine decarboxylase and spermine spermidine N-acetyl transferase. Furthermore, the model shows a relevant role of S-adenosylmethionine and acetyl-CoA availability in polyamine homeostasis, which are not usually considered in systemic experimental studies.Andalusian Government Grants SAF2005-01812 and funds to group CVI-267 and to the “Amine System Project” (CVI-657) Ministerio de Ciencia y Tecnología, Spain, Grant SAF2005-01627 (to M. C.). The costs of publication of this article were defrayed in part by the payment of page charges