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MLN disease diagnostics, MLN disease-free seed production and MLN disease management
Suresh L.M. (2022, [Objeto de congreso])
CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA DISEASES DISEASE MANAGEMENT SEED PRODUCTION MAIZE NECROSIS YIELD LOSSES ECONOMIC IMPACT SURVEILLANCE SYSTEMS TRAINING
On-farm storage loss estimates of maize in Kenya using community survey methods
Hugo De Groote Anani Bruce (2023, [Artículo])
Maize is the most important staple in sub-Saharan Africa (SSA), with highly seasonal production. High storage losses affect food security, but good estimations are lacking. A new method using focus group discussions (FGDs) was tested with 121 communities (1439 farmers, 52% women) in Kenya's six maize-growing zones, to estimate the maize losses to storage pests and analyze farmer practices. As control strategies, half of the farmers used chemical pesticides (49%), while hermetic bags (16%) and botanicals (15%) were also popular. Relative loss from weevils in the long rains was estimated at 23%, in the short rains 18%, and annually 21%. Fewer farmers were affected by the larger grain borer (LGB) than by maize weevils: 42% in the long rainy season and 32% in the short rainy season; losses from LGB were also smaller: 19% in the long season, 17% in the short season, and 18% over the year. Total storage loss, from both species combined, was estimated at 36%, or 671,000 tonnes per year. The greatest losses occur in the humid areas, especially the moist mid-altitudes (56%), and with smaller loss in the drylands (20–23%). Extrapolating the point data and overlaying with the maize production map shows the geographic distribution of the losses, with the most important area found around Lake Victoria. FGDs provide convenient and cheap tools to estimate storage losses in representative communities, but a total loss estimate of 36% is higher than is found in other studies, so its accuracy and framing effects need to be assessed. We conclude that storage pests remain a major problem, especially in western Kenya, and that the use of environmentally friendly technologies such as hermetic storage and botanicals needs more attention, both by the public extension service and private agrodealers.
Larger Grain Borer Maize Weevil CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MAIZE STORAGE LOSSES PESTS SURVEY METHODS
MLN disease diagnostics, MLN disease-free seed production and MLN disease management
Suresh L.M. (2023, [Objeto de congreso])
CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA YIELD LOSSES DISEASES MAIZE PHENOTYPING GERMPLASM SYMPTOMS ECONOMIC ASPECTS
Johan Sebastian Buriticá Bolaños (2023, [Tesis de maestría])
"This work explores the possibility of implementing a detection mechanism in optical fibers called “Lossy Mode Resonance” (LMR), which has begun to grow in popularity because, compared to other similar detection mechanisms in the area of optical fibers, has high flexibility with respect to its implementation."
Crystal Fiber sensor Leaky modes LMR CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA FÍSICA ÓPTICA FIBRAS ÓPTICAS FIBRAS ÓPTICAS
Development of a thermoelectric test for electrical contactors
PABLO OROZCO CORRAL FRANCISCO JAVIER IBARRA VILLEGAS NOE VILLA VILLASEÑOR (2023, [Artículo])
In the economic model in which we develop, there is a dependence on the means of transport that every day is increasing and due to the importance of electrification in the issue of efficient and clean transportation, has caused the need for companies supplying components for automotive manufacturers to evolve and develop new technologies to stay ahead of the needs of their customers being in full evolution towards electrified transport. This evolution extends not only to manufacturing but to the test methods that currently exist, since automotive standards require suppliers to test in laboratory, the components they sell to their customers to ensure their correct operation.
Electrical contactors Powered thermal cycle endurance Busbars Electrification industry INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS OTRAS ESPECIALIDADES TECNOLÓGICAS OTRAS OTRAS
Tensile behavior of 3D printed polylactic acid (PLA) based composites reinforced with natural fiber
Eliana M Agaliotis BALTAZAR DAVID AKE CONCHA ALEJANDRO MAY PAT Juan Pablo Morales Arias Celina Bernal Alex Valadez González Pedro Jesús Herrera Franco Gwenaelle Proust JUAN FRANCISCO KOH DZUL José Gonzalo Carrillo Baeza Emmanuel Alejandro Flores Johnson (2022, [Artículo])
Natural fiber-reinforced composite (NFRC) filaments for 3D printing were fabricated using polylactic acid (PLA) reinforced with 1–5 wt% henequen flour comprising particles with sizes between 90–250 μm. The flour was obtained from natural henequen fibers. NFRCs and pristine PLA specimens were printed with a 0° raster angle for tension tests. The results showed that the NFRCs’ measured density, porosity, and degree of crystallinity increased with flour content. The tensile tests showed that the NFRC Young’s modulus was lower than that of the printed pristine PLA. For 1 wt% flour content, the NFRCs’ maximum stress and strain to failure were higher than those of the printed PLA, which was attributed to the henequen fibers acting as reinforcement and delaying crack growth. However, for 2 wt% and higher flour contents, the NFRCs’ maximum stress was lower than that of the printed PLA. Microscopic characterization after testing showed an increase in voids and defects, with the increase in flour content attributed to particle agglomeration. For 1 wt% flour content, the NFRCs were also printed with raster angles of ±45° and 90° for comparison; the highest tensile properties were obtained with a 0° raster angle. Finally, adding 3 wt% content of maleic anhydride to the NFRC with 1 wt% flour content slightly increased the maximum stress. The results presented herein warrant further research to fully understand the mechanical properties of printed NFRCs made of PLA reinforced with natural henequen fibers. © 2022 by the authors.
POLYLACTIC ACID (PLA) NATURAL FIBER HENEQUEN FIBER NATURAL FIBER REINFORCED COMPOSITE (NFRC) ADDITIVE MANUFACTURING 3D PRINTING MECHANICAL PROPERTY INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS TECNOLOGÍA DE MATERIALES PROPIEDADES DE LOS MATERIALES PROPIEDADES DE LOS MATERIALES
Pablo Hernández Almaraz ORLANDO LUGO LUGO Ramón Gaxiola Robles OSCAR KURT BITZER QUINTERO Luis Javier Ramírez Jirano Elizabeth Brassea Pérez TANIA ZENTENO SAVIN (2022, [Artículo])
"Di-(2-ethylhexyl) phthalate (DEHP) is among the most common plasticizer additives that humans are in contact with daily. DEHP can be released from plastic and enter the human body, whereby it is metabolized and transformed into oxidative hydrophilic molecules. Clinical follow-ups in patients exposed to this phthalate and investigations in cultures of several cell types have provided information on its effects. For example, it is associated with inhibition of diploid human cell development and morphological changes in cultured germ cells. Although skeletal muscle represents around 50 % of the human body mass, knowledge about the effects of DEHP on this tissue is poor. Cultured skeletal muscle cells were exposed to DEHP (1 mM) for 13 days with the aim of exploring and evaluating some of the potential morphological effects. Three culture development parameters and nine cell characteristics were monitored during the bioassay. At 13 days, growth area, cell viability, and concentration of total proteins were lower in DEHP exposed than in control cells. Cell width and area, as well as the diameter of the nucleus and nucleolus, were greater in exposed cells than in control cells. These are interpreted as signs of cytotoxicity and suggest potential adverse effects on the development of skeletal muscle cells from DEHP exposure, as reported for other cell types."
Emerging pollutants, Morphometry, Phthalates, Plasticizers, Toxicity MEDICINA Y CIENCIAS DE LA SALUD CIENCIAS MÉDICAS BIOLOGÍA HUMANA FISIOLOGÍA DEL MÚSCULO FISIOLOGÍA DEL MÚSCULO
Survival of Artemia franciscana in coculture with Vibrio campbellii and Nitzschia thermalis f. kurta
Dalia Azucena Verde Inzunza (2023, [Tesis de maestría])
La acuicultura es uno de los sectores más importantes y de mayor producción alimentaria. Sin embargo, se ve afectada por enfermedades bacterianas como la vibriosis, la cual puede ocasionar pérdidas totales en los cultivos. El método más utilizado para controlar la vibriosis es el uso de antibióticos, lo cual ha contribuido al desarrollo de cepas bacterianas resistentes. Por ello, se buscan medios de control naturales para inhibir el crecimiento de Vibrio, como el uso de aguas verdes. El objetivo de este trabajo fue evaluar el efecto inhibitorio de Nitzschia thermalis f. kurta en la concentración de V. campbellii y en la supervivencia de nauplios de Artemia franciscana al estar en cocultivo. Se realizó un bioensayo de inhibición de V. campbellii en cocultivo con N. thermalis y nauplios de A. franciscana. Se mantuvieron cultivos monoespecíficos, no axénicos y por triplicado en medio “f” con una densidad celular de 250,000 cél. mL-1 de N. thermalis. Los cultivos fueron inoculados con una concentración inicial de 1 x105 V. campbellii mL-1 y una densidad de 1 nauplio de A. franciscana mL-1. Para cada tratamiento se evaluó la densidad celular de N. thermalis, conteo de bacterias heterotróficas, cuantificación de la concentración de V. campbellii y la supervivencia de nauplios de A. franciscana durante 5 días. Se obtuvo una supervivencia promedio de 55% de nauplios de A. franciscana al estar en cocultivo con N. thermalis. Mientras que el tratamiento control sin la presencia de N. thermalis obtuvo una supervivencia de nauplios de A. franciscana del 0%. El contenido de bacterias heterotróficas se presentó en todos los tratamientos en un orden de magnitud de 106 UFC mL-1, lo cual nos indica que el efecto inhibitorio de N. thermalis es específico para V. campbellii. La concentración de V. campbellii disminuyó a 53 V. campbellii mL-1 al día 5 en el cocultivo de V. campbellii con N. thermalis y nauplios de A. franciscana. Se concluye que N. thermalis tiene un efecto inhibitorio contra V. campbellii y brinda protección a los nauplios de A. franciscana en cocultivo con V. campbellii.
Aquaculture is one of the most important sectors with the highest food production. However, it is affected by bacterial diseases such as vibriosis, which can cause total crop losses. The most used method to control vibriosis is antibiotics, which have contributed to the developing of resistant bacterial strains. For this reason, natural control means are sought to inhibit Vibrio growth, such as using green water. This work aimed to evaluate the inhibitory effect of Nitzschia thermalis f. kurta in the concentration of V. campbellii and the survival of Artemia franciscana nauplii when in coculture. An inhibition bioassay of V. campbellii was carried out in coculture with N. thermalis and nauplii of A. franciscana. Monospecific, non-axenic cultures were maintained in triplicate in “f” medium with a cell density of 250,000 cells mL-1 of N. thermalis. The cultures were inoculated with an initial concentration of 1 x105 V. campbellii mL-1 and a density of 1 nauplius of A. franciscana mL-1. For each treatment, the cell density of N. thermalis, count of heterotrophic bacteria, quantification of the concentration of V. campbellii, and the survival of A. franciscana nauplii were evaluated for 5 days. Was obtained an average survival of 55% of A. franciscana nauplii when cocultured with N. thermalis. In contrast, the control treatment without the presence of N. thermalis obtained a survival of A. franciscana nauplii of 0%. The content of heterotrophic bacteria was present in all treatments in order of magnitude of 106 CFU mL-1, which indicates that the inhibitory effect of N. thermalis is specific to V. campbellii. The concentration of V. campbellii decreased to 53 V. campbellii mL-1 on day 5 in the co-culture of V. campbellii with N. thermalis and A. franciscana nauplii. It is concluded that N. thermalis has an inhibitory effect against V. campbellii and provides protection to A. franciscana nauplii in coculture with V. campbellii.
Artemia franciscana, Vibrio campbellii, inhibición, Nitzschia thermalis Artemia franciscana, Vibrio campbellii, inhibition, Nitzschia thermalis CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CIENCIAS AGRARIAS PECES Y FAUNA SILVESTRE PISCICULTURA PISCICULTURA
Low thermal conductivity solar domestic water heater
MIGUEL ANGEL PORTA GANDARA JOSE LUIS FERNANDEZ ZAYAS JUAN FRANCISCO VILLA MEDINA NORBERTO CHARGOY DEL VALLE (2022, [Artículo])
"Solar domestic water heaters (SWH) with thermosyphon circulation are the most common commercial applications of solar energy in Mexico. They are also becoming popular in the rest of the world, given their simplicity, good economic returns, and sustainability. Traditionally the solar collector, the piping, and the storage tank are built of copper and steel. However, wáter quality in many parts of the Mexican Northwest has high mineral contents and, when heated, results in early metal pitting corrosion of SWH parts. Short-lived water heaters are bad promoters of the technology. In this work, a SWH thermoplastic Chlorinated Polyvinyl Chloride (CPVC) is built and tested under real operating conditions in La Paz, BCS, Mexico. The optimal design is detected with the aid of a suitable numerical model. Results reveal that a full SWH-CPVC can be technically and economically convenient for the weather conditions of the Northwestern states of Mexico."
Low thermal conductivity solar water heater CPVC solar water heater Solar water heater cooper pitting corrosion Thermosiphon circulation INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS TECNOLOGÍA ELECTRÓNICA DISPOSITIVOS TERMOELÉCTRICOS DISPOSITIVOS TERMOELÉCTRICOS
Control de sistemas usando aprendizaje de máquina
Systems control using machine learning
Jesús Martín Miguel Martínez (2023, [Tesis de maestría])
El aprendizaje por refuerzo es un paradigma del aprendizaje de máquina con un amplio desarrollo y una creciente demanda en aplicaciones que involucran toma de decisiones y control. Es un paradigma que permite el diseño de controladores que no dependen directamente del modelo que describe la dinámica del sistema. Esto es importante ya que en aplicaciones reales es frecuente que no se disponga de dichos modelos de manera precisa. Esta tesis tiene como objetivo implementar un controlador óptimo en tiempo discreto libre de modelo. La metodología elegida se basa en algoritmos de aprendizaje por refuerzo, enfocados en sistemas con espacios de estado y acción continuos a través de modelos discretos. Se utiliza el concepto de función de valor (Q-función y función V ) y la ecuación de Bellman para resolver el problema del regulador cuadrático lineal para un sistema mecánico masa-resorte-amortiguador, en casos donde se tiene conocimiento parcial y desconocimiento total del modelo. Para ambos casos las funciones de valor son definidas explícitamente por la estructura de un aproximador paramétrico, donde el vector de pesos del aproximador es sintonizado a través de un proceso iterativo de estimación de parámetros. Cuando se tiene conocimiento parcial de la dinámica se usa el método de aprendizaje por diferencias temporales en un entrenamiento episódico, que utiliza el esquema de mínimos cuadrados con mínimos cuadrados recursivos en la sintonización del crítico y descenso del gradiente en la sintonización del actor, el mejor resultado para este esquema es usando el algoritmo de iteración de valor para la solución de la ecuación de Bellman, con un resultado significativo en términos de precisión en comparación a los valores óptimos (función DLQR). Cuando se tiene desconocimiento de la dinámica se usa el algoritmo Q-learning en entrenamiento continuo, con el esquema de mínimos cuadrados con mínimos cuadrados recursivos y el esquema de mínimos cuadrados con descenso del gradiente. Ambos esquemas usan el algoritmo de iteración de política para la solución de la ecuación de Bellman, y se obtienen resultados de aproximadamente 0.001 en la medición del error cuadrático medio. Se realiza una prueba de adaptabilidad considerando variaciones que puedan suceder en los parámetros de la planta, siendo el esquema de mínimos cuadrados con mínimos cuadrados recursivos el que tiene los mejores resultados, reduciendo significativamente ...
Reinforcement learning is a machine learning paradigm with extensive development and growing demand in decision-making and control applications. This technique allows the design of controllers that do not directly depend on the model describing the system dynamics. It is useful in real-world applications, where accurate models are often unavailable. The objective of this work is to implement a modelfree discrete-time optimal controller. Through discrete models, we implemented reinforcement learning algorithms focused on systems with continuous state and action spaces. The concepts of value-function, Q-function, V -function, and the Bellman equation are employed to solve the linear quadratic regulator problem for a mass-spring-damper system in a partially known and utterly unknown model. For both cases, the value functions are explicitly defined by a parametric approximator’s structure, where the weight vector is tuned through an iterative parameter estimation process. When partial knowledge of the dynamics is available, the temporal difference learning method is used under episodic training, utilizing the least squares with a recursive least squares scheme for tuning the critic and gradient descent for the actor´s tuning. The best result for this scheme is achieved using the value iteration algorithm for solving the Bellman equation, yielding significant improvements in approximating the optimal values (DLQR function). When the dynamics are entirely unknown, the Q-learning algorithm is employed in continuous training, employing the least squares with recursive least squares and the gradient descent schemes. Both schemes use the policy iteration algorithm to solve the Bellman equation, and the system’s response using the obtained values was compared to the one using the theoretical optimal values, yielding approximately zero mean squared error between them. An adaptability test is conducted considering variations that may occur in plant parameters, with the least squares with recursive least squares scheme yielding the best results, significantly reducing the number of iterations required for convergence to optimal values.
aprendizaje por refuerzo, control óptimo, control adaptativo, sistemas mecánicos, libre de modelo, dinámica totalmente desconocida, aproximación paramétrica, Q-learning, iteración de política reinforcement learning, optimal control, adaptive control, mechanical systems, modelfree, utterly unknown dynamics, parametric approximation, Q-learning, policy iteration INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS TECNOLOGÍA DE LOS ORDENADORES INTELIGENCIA ARTIFICIAL INTELIGENCIA ARTIFICIAL