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DEPRESSIVE SYMPTOMS (DS) AND CITIES: A SOCIOECONOMIC PERSPECTIVE FOR THE MEXICAN CASE

Jorge López Martínez Déborah Féber González (2023, [Artículo, Artículo])

This article presents an analysis of the proportion of the population that lives in the 20 top cities of Mexico. Population that suffers from moderate to severe Depressive Symptoms (DS) in relation to urban and socioeconomic factors typical of urban territories and comparing them with people living in rural or non-urban environments that suffers DS. To check this, we generated the Complex Index of Socioeconomic and Urban Conditions (CISUC), based on the Mind the GAPS framework, a model that relates the susceptibility or prevention of mental illness in cities based on urban factors, we also used socioeconomic indicators that exist in Mexican cities. For the construction of the ICCSU database, we used data from the National Health and Nutrition Survey in the years 2006, 2012 and 2018-19 and the data of the Mexican Institute for Competitiveness, A.C. and National Institute of Statistics and Geography in the same years. The results obtained from CISUC were reinforced with the use of a panel data model. The findings that we obtained reveal that there is a more important correlation between cities and people who suffer from moderate to severe DS than in rural areas, a condition that intensifies with the socioeconomic conditions of the population, for example, their socioeconomic stratum, their gender, and present urban marginalization. This allows to generate future discussions about other types of diseases such as anxiety, depression, stress, loneliness, and schizophrenia for large population groups. The panel model yields a lower goodness of adjustment, due to the lack of more time points, however, it points out that improvements in socioeconomic and urban conditions slightly reduce depressive symptoms.

mental health depressive symptoms (DS) urban marginalization socioeconomic factors cities salud mental sintomatología depresiva (SD) ciudades marginación urbana factores socioeconómicos CIENCIAS SOCIALESCIENCIAS SOCIALES CIENCIAS SOCIALES

La construcción fantástica y gótica en una pieza teatral, El fantasma del hotel Alsace. Los últimos días de Oscar Wilde de Vicente Quirarte

Andrea Carolina Godínez Rivera (2023, [Otro, Trabajo terminal, especialidad])

45 páginas. Especialización en Literatura Mexicana del Siglo XX.

Esta investigación recibió apoyo del Sistema Nacional de Posgrados (SNP), del Consejo Nacional de Humanidades, Ciencias y Tecnologías (CONAHCYT)

El propósito de la presente tesina es plantear una guía general con los componentes más sobresalientes que colaboran para la construcción gótica y fantástica de la obra de teatro El fantasma del hotel Alsace de Vicente Quirarte. Se analizarán los recursos como la representación y la simbología del fantasma, el efecto de la ambigüedad, la construcción del espacio y el tiempo como productores de universos ficcionales. En el primer capítulo, “El fantasma literario”, se visualizará la construcción fantástica del fantasma por medio de la teatralidad y el recurso de la fantasmagoría con base en las teorías de Max Milner, David Roas y José Miguel Sardiñas, Anne Ubersfeld y José Luis García Barrientos con el fin de mostrar la subjetividad de los misterios del ser humano donde existen los miedos y las angustias, los terrores del humano y así, mostrar lo que en otro tipo de literaturas no se puede hacer: presentar lo inexpresable de los horrores del hombre. En el segundo capítulo, “La imaginería gótica en lo fantástico”, se desarrolla el efecto de la ambigüedad que parte de la imaginería mental del personaje Oscar Wilde como producto de la locura. Además, se explicará en qué consiste la configuración del espacio encarcelado y el tiempo estático y desdibujado como parte de la construcción de la atmósfera gótica que aparece a lo largo de las cuatro escenas de la obra de teatro.

Wilde, Oscar, 1854-1900--Criticism and interpretation. Ghosts in the theater. Art, Gothic. Fantasmas en la literatura. Arte gótico. PR5824 HUMANIDADES Y CIENCIAS DE LA CONDUCTA CIENCIAS DE LAS ARTES Y LAS LETRAS TEORÍA, ANÁLISIS Y CRÍTICA DE LAS BELLAS ARTES

Influence of poverty concerns on demand for healthier processed foods: A field experiment in Mexico City

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

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

Potential impact of prosthetic biomaterials on the periodontium: a comprehensive review.

NATIVIDAD CASTRO ALARCON Artak Heboyan Gustavo Fernandes Norma Samanta Romero Castro (2023, [Artículo])

The success of a prosthetic treatment is closely related to the periodontal health of the individual. The aim of this article was to review and present the importance of prosthetic restorative materials on the condition of the periodontium, the changes that occur in the composition of the subgingival microbiota and the levels of inflammatory markers in gingival crevicular fluid. Articles on the influence of different prosthetic restorative materials on subgingival microbiota and proinflammatory cytokines were searched for using the keywords ¿prosthetic biomaterials¿, ¿fixed prosthesis¿, ¿periodontal health¿, ¿subgingival microbiota¿, ¿periodontal biomarkers¿ and ¿gingival crevicular fluid¿ in PubMed/Medline, Science Direct, Scopus and Google Scholar. The type of material used for prosthesis fabrication together with poor marginal and internal fit can result in changes in the composition of the subgingival microbiota, as well as increased accumulation and retention of dentobacterial plaque, thus favoring the development of periodontal disease and prosthetic treatment failure. Biological markers have helped to understand the inflammatory response of different prosthetic materials on periodontal tissues with the main purpose of improving their clinical application

in patients who need them. Metal-free ceramic prostheses induce a lower inflammatory response regardless of the fabrication method; however, the use of CAD/CAM systems is recommended for their fabrication. In addition, it is presumed that metal-ceramic prostheses cause changes in the composition of the subgingival microbiota producing a more dysbiotic biofilm with a higher prevalence of periodontopathogenic bacteria, which may further favor periodontal deterioration.

prosthetic biomaterials fixed prosthesis periodontal health MEDICINA Y CIENCIAS DE LA SALUD CIENCIAS MÉDICAS SALUD PÚBLICA