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Pablo de los Cobos Alcalá (2020, [Tesis de maestría])
Después de caminar, el transporte público colectivo es la base de la movilidad en la Zona Metropolitana del Valle de México. Sin embargo, los incentivos de la regulación del sector, así como la relación entre transportistas y autoridad, han hecho que este servicio tenga deficiencias que diferentes gobiernos han intentado mejorar. Esta tesina versa sobre uno de esos intentos: el ordenamiento de las rutas alimentadoras hacia las estaciones del Tren Suburbano en el Estado de México. A partir de entrevistas semiestructuradas y análisis documental, este trabajo describe la influencia que tienen las estructuras institucionales de gobernanza en los esfuerzos de mejora del transporte público. Esta tesina hace dialogar a las teorías neoinstitucionalistas y de clientelismo político al analizar la forma en la que los grupos transportistas vetan los intentos de mejora por parte de la autoridad. Asimismo, este trabajo discute la pertinencia de las tipologías de provisión del transporte público para comprender las ventajas de las diferentes modalidades de participación de la autoridad, sector privado y personas usuarias. El estudio de las tipologías permite estimar las posibilidades de éxito de ciertas estrategias al considerar si éstas van en un sentido concordante con las lógicas de estructuración institucional.
Urban transportation -- Mexico -- Mexico (State) -- Case studies. CIENCIAS SOCIALES CIENCIAS SOCIALES
Funcionamiento del proceso de digestión en rumiantes
Abel Jaime Leal González (2021, [Libro])
CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA RUMIANTE DIGESTIÓN RUMINAL NUTRIENTES CARBOHIDRATOS ABOMASO ABSORCIÓN DIGESTIVA GANADO BOVINO PASTOREO RUMINANTS RUMEN DIGESTION NUTRIENTS CARBOHYDRATES ABOMASUM DIGESTIVE ABSORPTION CATTLE GRAZING
Economic development, transport investment, and urbanization in Mexico: causality and effects
Vicente German-Soto Alexsandra De la Peña Flores Karina García (2023, [Artículo, Artículo])
The transport investment is often used as a tool for economic development and urbanization. However, there is still debate about whether transport improvements promote development and urbanization or, conversely, these latter create the conditions that stimulate the transport. In theory, the transport system contributes to development and urbanization because it speeds up the exchange of goods and services, but the effects can also be reversed, so the direction of causality is not so easily identified. This work uses Mexican state information of the 1988-2018 period, grouped as panel, to know both magnitude and direction of the impacts. Methodology consists in cointegration tests and VECM regressions. The results reveal that long-term causality goes from economic development to transport and its subsectors, which means that economic development is a necessary condition to modernize transport in Mexico. For urbanization, the causality and magnitude of the effects vary depending on the transport subsector. The total economy and passenger sector’s investments cause urbanization, but transportation and subsectors of cargo carriers and communications estimate two-way causality. The conclusions suggest that urbanization depends on improvements in transportation and the latter, in turn, on economic development.
Desarrollo regional Transporte Economía urbana Causalidad Modelo VECM CIENCIAS SOCIALES CIENCIAS SOCIALES Economic development, Granger-Causality, VECM Models, Productivity, Urban Economics
Ana Luisa Garcia-Oliveira Mahalingam Govindaraj Rodomiro Ortiz (2023, [Artículo])
Bioaccessibility and Absorption Biofortified Crop Cultivars Genes and Genetic Markers Nutrient Acquisition Transport and Storage CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA BIOAVAILABILITY ABSORPTION CLIMATE CHANGE GENETIC MARKERS GENETIC ENGINEERING NUTRIENTS TRANSPORT STORAGE
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
Estimating lime requirements for tropical soils: Model comparison and development
Fernando Aramburu Merlos João Vasco Silva Frédéric Baudron Robert Hijmans (2023, [Artículo])
Acid tropical soils may become more productive when treated with agricultural lime, but optimal lime rates have yet to be determined in many tropical regions. In these regions, lime rates can be estimated with lime requirement models based on widely available soil data. We reviewed seven of these models and introduced a new model (LiTAS). We evaluated the models’ ability to predict the amount of lime needed to reach a target change in soil chemical properties with data from four soil incubation studies covering 31 soil types. Two foundational models, one targeting acidity saturation and the other targeting base saturation, were more accurate than the five models that were derived from them, while the LiTAS model was the most accurate. The models were used to estimate lime requirements for 303 African soil samples. We found large differences in the estimated lime rates depending on the target soil chemical property of the model. Therefore, an important first step in formulating liming recommendations is to clearly identify the soil property of interest and the target value that needs to be reached. While the LiTAS model can be useful for strategic research, more information on acidity-related problems other than aluminum toxicity is needed to comprehensively assess the benefits of liming.
Exchangeable Acidity Aluminum Saturation Calcium Carbonate Equivalent CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CHEMICOPHYSICAL PROPERTIES LIMES TROPICAL ZONES ACID SOILS ALUMINIUM BASE SATURATION CALCIUM CARBONATE
A comprehensive review of wheat phytochemicals: From farm to fork and beyond
Wenfei Tian Michael Tilley Zhonghu He Yonghui Li (2022, [Artículo])
Cereal Nutrients Health Benefits Wheat Phytochemicals CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA ALKYLRESORCINOLS ANTIOXIDANTS PHENOLIC ACIDS WHEAT
Luis Ricardo Uribe Dávila (2023, [Tesis de maestría])
Vivimos la industria 4.0, misma que no es nueva, ya que sus orígenes se remontan a finales de la década de los 2000, en Alemania. Un pilar de la industria 4.0 es el análisis de datos, conocido como Big Data. El conocer los datos de un proceso, de un estudio, ayuda en gran medida a predecir el comportamiento que tendrá el proceso o la máquina a estudiar en un periodo a corto o mediano plazo. En el presente proyecto se analizan los datos arrojados por un motor eléctrico de corriente alterna, del tipo inducción, jaula de ardilla. El motor está diseñado para trabajar de manera continua, sin embargo, el uso que se le da, es meramente educativo; es decir, no sobre pasa las 15 horas por semana de uso. Mediante la toma de datos de las tres fases de corriente RMS o corriente de valor eficaz que posee el motor eléctrico que se realizará con el microcontrolador Arduino UNO, se analizarán los mismos mediante el software de cómputo numérico MATLAB, ordenando los datos, descartando valores que no aporten información relevante para lograr la predicción de datos. Por último, se llevará a conocer este proyecto a la carrera mecatrónica, área sistemas de manufactura flexible y área automatización, con el fin de que puedan observar de una mejor manera la aplicación y funcionamiento de uno de los pilares de la actual industria 4.0.
We live in industry 4.0, which is not new, since its origins date back to the late 2000s, in Germany. One pillar of industry 4.0 is data analysis, known as Big Data. Knowing the data of a process, of a study, helps greatly to predict the behavior that the process or machine will have to study in a short- or medium-term period. This project analyzes the data released by an electric motor of alternating current, of the type induction, squirrel cage. The engine is designed to work continuously, however, the use given to it is merely educational, that is; only not over spends 15 hours per week of use. By taking data from the three phases of RMS current or effective value current of the electric motor that will be made with the Arduino UNO micro controller, they will be analyzed using MATLAB numerical computing software, ordering the data, discarding values that do not provide relevant information to achieve data prediction. Finally, this project will be presented to the mechatronics career, flexible manufacturing systems area and automation area, so that they can observe in a better way the application and operation of one of the pillars of the current industry 4.0.
Mantenimiento predictivo Regresión lineal Industria 4.0 Big data Corriente RMS Predictive maintenance Linear regression Industry 4.0 Big data RMS Current INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS OTRAS ESPECIALIDADES TECNOLÓGICAS OTRAS OTRAS
Sustainable urban mobility: An alternative for air pollution in the Guadalajara Metropolitan Area
José Antonio Olivares Mendoza Clemente Hernandez-Rodriguez Luz Alicia Jimenez Portugal (2023, [Artículo, Artículo])
The objective of this paper is to evaluate whether the low-carbon transport strategy (subway, rapid transit bus system -Macrobús-, trolleybus, and shared bicycles) implemented in the Guadalajara Metropolitan Area (AMG) from 2000 to 2019 improves air quality. Sustainable urban mobility is the movement of people in cities in a way that generates the least impact on the environment. We analyze three actions of government intervention in the same sense. This is the first study for Guadalajara, the third-largest city in Mexico. We use robust Newey-West estimators and endogenously model pollution disruptions using the Bai Perron approach. Our results suggest that this type of public transport reduces SO2, NO2, O3, and CO, though we find an increase in PM10. We also identified that when the service of the first line of the Bus Rapid Transit was consolidated CO, O3 and PM10 decreased. In addition, the improvement in the connectivity of the bus network with the subway means that only NO2 diminished. Finally, the entry into operation of the shared bicycle program reduced PM10, while increasing O3 and in SO2. In short, sustainable urban mobility is an alternative to making the transit of people efficient, while mitigating air pollution in the AMG.
Contaminación del aire Transporte urbano Bicicletas compartidas Autobuses de tránsito rápido Metro CIENCIAS SOCIALES CIENCIAS SOCIALES Air pollution Urban transport Bus Rapid Transit
Kindie Tesfaye Dereje Ademe Enyew Adgo (2023, [Artículo])
Spatiotemporal studies of the annual and seasonal climate variability and trend on an agroecological spatial scale for establishing a climate-resilient maize farming system have not yet been conducted in Ethiopia. The study was carried out in three major agroecological zones in northwest Ethiopia using climate data from 1987 to 2018. The coefficient of variation (CV), precipitation concertation index (PCI), and rainfall anomaly index (RAI) were used to analyze the variability of rainfall. The Mann-Kendall test and Sen’s slope estimator were also applied to estimate trends and slopes of changes in rainfall and temperature. High-significance warming trends in the maximum and minimum temperatures were shown in the highland and lowland agroecology zones, respectively. Rainfall has also demonstrated a maximum declining trend throughout the keremt season in the highland agroecology zone. However, rainfall distribution has become more unpredictable in the Bega and Belg seasons. Climate-resilient maize agronomic activities have been determined by analyzing the onset and cessation dates and the length of the growth period (LGP). The rainy season begins between May 8 and June 3 and finishes between October 26 and November 16. The length of the growth period (LGP) during the rainy season ranges from 94 to 229 days.
Climate Trends Spatiotemporal Analysis Agroecology Zone CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA AGROECOLOGY CLIMATE CLIMATE VARIABILITY MAIZE