Segunda etapa del estudio para restituir y mejorar la capacidad de conducción, mediante un manejo adecuado del aire y optimización del funcionamiento hidráulico, en las líneas 1 y 2 del Sistema Cutzamala

RODRIGO ULISES SANTOS TELLEZ Velitchko Tzatchkov OSCAR JESUS LLAGUNO GUILBERTO José Manuel Rodríguez Varela JOSE CARLOS MARTINEZ PEREZ (2018, [Documento de trabajo])

El objetivo principal de este estudio fue identificar la razón de la disminución de la capacidad de conducción de la línea 1 y 2 y proponer alternativas para recuperar dicha capacidad. Los tramos de TSI-TP y TP-TASJ operan por debajo de su capacidad de conducción y tienen una parte operando como canal. El “cuello de botella” está en el tramo TO5-TSI en el cual se puede presentar alguna de las siguientes situaciones: aire atrapado; obstrucciones físicas en la tubería; alta rugosidad de las paredes de la conducción.

Redes de distribución de agua Válvulas de aireación Operación y mantenimiento Modelos matemáticos INGENIERÍA Y TECNOLOGÍA

Mapas, territorios y narrativas urbanas

María Esther Sánchez Martínez MARCELA DAVALOS LOPEZ Maria del Carmen Bernardez de la Granja JUAN ANTONIO LAVIADA Martín Sánchez Rodriguez Luis Carlos Colon Llamas Anthony Picón Rodríguez Jorge Ernesto Gómez Sánchez Rodrigo O. Tirado (2023, [Libro])

Los mapas nunca se han dibujado solos. Desde Cipango hasta Santafé, pasando por la ciudad de México, la de Michoacán o barrios inadvertidos como Xocotitla, siempre han existido unos ojos para describir o medir los territorios. Entre las varas, millas, cartas de navegación, croquis o fuentes cartográficas no sólo hallamos distancias, sino también abismos culturales. En este libro los planos participan de una historia contextual: revelan tanto el horizonte cultural de quienes los elaboraron como de sus usuarios. Se muestran paisajes narrados, vividos y representados: desde las notas de Marco Polo a las rutas de Cristóbal Colón, hasta los proyectos futuristas irrealizados en Bogotá, pasando por la presencia de las trazas renacentistas en las urbes prehispánicas, la división por cuarteles o por el reparto de tierras comunales indígenas, todo nos invita aquí a compartir una apasionante reflexión sobre cómo se construye el pasado desde el mundo visual de los planos.

Mapas, territorios, urbano, cartografía, planos, croquis. Mexico--Historical geography. Mexico--Maps. City planning--Mexico--History. City planning--Mexico--Mexico City--History. Cartography--Mexico--Mexico City--History. Cartography--Mexico--Michoacán de Ocampo--History. Cartography--Colombia--History. City planning--Colombia--Bogotá. Urbanismo Cartografía Mapas. Cartografía -- Historia. F2175 HUMANIDADES Y CIENCIAS DE LA CONDUCTA CIENCIAS DE LAS ARTES Y LAS LETRAS ARQUITECTURA URBANISMO CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA CIENCIAS DE LA TIERRA Y DEL ESPACIO GEOGRAFÍA CARTOGRAFÍA GEOGRÁFICA

Gráfica de protesta: PuntosB, Lapiztola y La Guillotina. Un análisis entre el cuerpo y el espacio en la imagen de protesta

Jorge Gabriel Ortiz Leroux (2023, [Capítulo de libro])

Capítulo número 5 de la Sección Imágenes y representaciones.

El objetivo del presente texto es el de mostrar como la obra emanada de colectivos de análisis del espacio social de la protesta, permite reconocer las claves que relacionan al espacio con los actores que lo ocupan. Asimismo, se pretende abordar cómo el conflicto que se interpone entre los actores de la protesta define sus magnitudes y reelabora sus disposiciones y sus formas de entrecruzamiento en relación con la presencia de la imagen. Asimismo, la representación imaginaria y visual del espacio permite ver a la ciudad como un laboratorio, que puede también ser registrado, interpretado y resituado respecto a los discursos hegemónicos. Los proyectos visuales que aquí abordamos representan un trabajo que a través de los años ha expresado su visión sobre las realidades sociales y políticas de nuestro país, en las que el conflicto aparece como telón de fondo de la creación e interpretación visual de esas realidades. La interacción entre política y estética tiene como escenario el espacio público y la ciudad, que fungen como trasfondo para la expresión de formas imaginarias y que conforman en sí mismas el sentido de los reclamos y las transformaciones gestadas. Mirando a la ciudad, observamos sus cambios y las formas de relación, cada vez más complejas, que se viven en ella.

Public spaces--Social aspects--Mexico. Dissident art. Protest movements--Mexico--Posters. Graphic arts--Political aspects--Mexico. Political posters, Mexican--20th century. Espacios públicos -- México. Arte disidente. Movimientos de protesta. Carteles políticos mexicanos. HT185 HUMANIDADES Y CIENCIAS DE LA CONDUCTA CIENCIAS DE LAS ARTES Y LAS LETRAS TEORÍA, ANÁLISIS Y CRÍTICA DE LAS BELLAS ARTES

On-farm assessment of yield and quality traits in durum wheat

Facundo Tabbita Iván Ortíz-Monasterios Francisco Javier Pinera-Chavez Maria Itria Ibba Carlos Guzman (2023, [Artículo])

BACKGROUND: Durum wheat is key source of calories and nutrients for many regions of the world. Demand for it is predicted to increase. Further efforts are therefore needed to develop new cultivars adapted to different future scenarios. Developing a novel cultivar takes, on average, 10 years and advanced lines are tested during the process, in general, under standardized conditions. Although evaluating candidate genotypes for commercial release under different on-farm conditions is a strategy that is strongly recommended, its application for durum wheat and particularly for quality traits has been limited. This study evaluated the grain yield and quality performance of eight different genotypes across five contrasting farmers’ fields over two seasons. Combining different analysis strategies, the most outstanding and stable genotypes were identified. RESULTS: The analyses revealed that some traits were mainly explained by the genotype effect (thousand kernel weight, flour sodium dodecyl sulfate sedimentation volume, and flour yellowness), others by the management practices (yield and grain protein content), and others (test weight) by the year effect. In general, yield showed the highest range of variation across genotypes, management practices, and years and test weight the narrowest range. Flour yellowness was the most stable trait across management conditions, while yield-related traits were the most unstable. We also determined the most representative and discriminative field conditions, which is a beneficial strategy when breeders are constrained in their ability to develop multi-environment experiments. CONCLUSIONS: We concluded that assessing genotypes in different farming systems is a valid and complementary strategy for on-station trials for determining the performance of future commercial cultivars in heterogeneous environments to improve the breeding process and resources.

Wheat Quality GGE Analysis Flour Yellowness CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA FLOURS WHEAT QUALITY YIELDS FIELD EXPERIMENTATION

Remote sensing of quality traits in cereal and arable production systems: A review

Zhenhai  Li xiuliang jin Gerald Blasch James Taylor (2024, [Artículo])

Cereal is an essential source of calories and protein for the global population. Accurately predicting cereal quality before harvest is highly desirable in order to optimise management for farmers, grading harvest and categorised storage for enterprises, future trading prices, and policy planning. The use of remote sensing data with extensive spatial coverage demonstrates some potential in predicting crop quality traits. Many studies have also proposed models and methods for predicting such traits based on multi-platform remote sensing data. In this paper, the key quality traits that are of interest to producers and consumers are introduced. The literature related to grain quality prediction was analyzed in detail, and a review was conducted on remote sensing platforms, commonly used methods, potential gaps, and future trends in crop quality prediction. This review recommends new research directions that go beyond the traditional methods and discusses grain quality retrieval and the associated challenges from the perspective of remote sensing data.

Quality Traits Grain Protein CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA REMOTE SENSING QUALITY GRAIN PROTEINS CEREALS PRODUCTION SYSTEMS

Determinantes del uso de efectivo en México: análisis a través de la ENIF 2018

Juan Pablo Gómez Ayala (2021, [Tesis de maestría])

En este trabajo se analiza el impacto que tienen la economía formal como la educación y disciplina financiera en el uso de efectivo como medio de pago en México. Se estima que como mínimo, una persona que mejore su educación financiera (acerté una pregunta adicional) reducirá en 1.5% su probabilidad de comprar algún bien con efectivo; en cambio si mejora su disciplina financiera (practicar hábitos saludables más frecuentemente), aumentará la probabilidad de que pague servicios con efectivo en 2%.

Cash and carry transactions -- Payment -- Effect of financial literacy on -- Mexico -- 2018 -- Econometric models. Cash and carry transactions -- Payment -- Effect of informal sector (Economics) on -- Mexico -- 2018 -- Econometric models. CIENCIAS SOCIALES CIENCIAS SOCIALES

Influence of novel coconut oil and beeswax edible coating and MAP on postharvest shelf life and quality attributes of lemon at low temperature

Mohammad Mainuddin Molla Ashfak Ahmed Sabuz Md Abdul Matin (2023, [Artículo])

Weight loss, turning of peel colour from green to yellow and microbial infections are the major postharvest problems of lemon. Lipid-based edible coatings and modified atmospheric packaging (MAP) are effective techniques in maintaining postharvest quality of fruits for long-term storage. With this view, an investigation was conducted for the preservation of green lemon using coconut oil and beeswax edible coating and MAP during storage at low temperature. Physiologically matured lemons were collected and washed with potable water; fruit surface water was removed and then coated with coconut oil-beeswax (90:10) or only coconut oil. After coating, lemons were packaged in MAP or kept in open crates and stored at 12±1 °C and 85±5% relative humidity (RH) for 8 weeks and a week interval, the sampling was conducted. The results revealed that coconut oil-beeswax coating had immense effect on retaining shiny green colour, reducing respiration, weight loss, shrivelling and preserving firmness and ascorbic acid of lemon throughout the storage. On the other hand, MAP mainly helped to retain moisture & firmness and reduce shrivelling. Uncoated lemons kept open lost the highest amount of ascorbic acid and retained only 13.7 mg/100 g that is significantly (p < 0.05) less than the lemons of all other treatments at 8th week of storage period. While lemons coated with coconut oil-beeswax and packaged in MAP was preserved the highest amount (24.2 mg/100 g) of ascorbic acid and there was no significant difference (p < 0.05) with the amount of ascorbic acid content of lemons coated with only coconut oil and packaged in MAP at the last week (8th week) of storage. Hue angle value was 93.4 in uncoated lemons packaged in MAP while it was 113.67 in coconut oil-beeswax coated lemon kept open and 112.64 in lemon coated with coconut oil-beeswax and packaged in MAP at 8th week of storage. Based on all sensory, physical and chemical parameters uncoated lemons kept open was acceptable up to 1 week, coconut oil-beeswax coated lemon kept open was 6 weeks and coconut oil-beeswax coated lemon packaged in MAP was 8 weeks with good quality and shiny green colour.

Edible Coating Sensory Quality Hue Angle Yellowing CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA EDIBLE FILMS RESPIRATION RATE LEMONS MODIFIED ATMOSPHERE PACKAGING COLD

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

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

A Flexible, Extensible, Machine-Readable, Human-Intelligible, and Ontology-Agnostic Metadata Schema (OIMS)

Gideon Kruseman (2022, [Artículo])

Reusability Java Script Object Notation CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA DATA MANAGEMENT INTEROPERABILITY METADATA SOCIOECONOMIC ASPECTS