Globalización y competitividad económica en las ciudades de la región Centro Occidente de México en la última década del siglo XX

Peer Reviewe

Optimal Nitrogen Fertilization to Reach the Maximum Grain and Stover Yields of Maize (Zea mays L.): Tendency Modeling

Utilization of maize stover to the production of meat and milk and saving the grains for human consumption would be one strategy for the optimal usage of resources. Variance and tendency analyses were applied to find the optimal nitrogen (N) fertilization dose (0, 100, 145, 190, 240, and 290 kg/ha) for forage (F), stover (S), cob (C), and grain (G) yields, as well as the optimal grain-to-forage, cob-to-forage, and cob-to-stover ratios (G:F, C:F, and C:S, respectively). The study was performed in central Mexico (20.691389° N and −101.259722° W, 1740 m a.m.s.l.; Cwa (Köppen), 699 mm annual precipitation; alluvial soils). N-190 and N-240 improved the individual yields and ratios the most. Linear and quadratic models for CDM, GDM, and G:F ratio had coefficients of determination (R2) of 0.20–0.46 (p < 0.03). Cubic showed R2 = 0.30–0.72 (p < 0.02), and the best models were for CDM, GDM, and the G:F, C:F, and C:S DM ratios (R2 = 0.60–0.72; p < 0.0002). Neither SHB nor SDM negatively correlated with CDM or GDM (r = 0.23–0.48; p < 0.0001). Excess of N had negative effects on forage, stover, cobs, and grains yields, but optimal N fertilization increased the proportion of the G:F, C:F, and C:S ratios, as well as the SHB and SDM yields, without negative effects on grain production

EL RAULÍ, UN ARBOL CON HISTORIA: En un área muy acotada de la cordillera patagónica crece un majestuoso árbol de invaluable importancia ecológica, histórica y científica conocido como raulí.

El raulí es un árbol de gran importancia ecológica, histórica y científica que en nuestro país solo se desarrolla en zonas montañosas del suroeste de la Provincia de Neuquén, casi exclusivamente en tierras de jurisdicción de Parques Nacionales. Sus importantes dimensiones y la calidad de su madera lo posicionaron como el “elegido” en el pasado maderero de la región. Su destacado potencial productivo desafía al manejo de sus bosques con el propósito de obtención de madera de calidad conservando su diversidad biológica, aún poco conocida, para el mantenimiento de los invaluables bienes y servicios ambientales que contribuyen a proveer

Using Machine Learning to Collect and Facilitate Remote Access to Biomedical Databases: Development of the Biomedical Database Inventory

[Abstract] Background: Currently, existing biomedical literature repositories do not commonly provide users with specific means to locate and remotely access biomedical databases. Objective: To address this issue, we developed the Biomedical Database Inventory (BiDI), a repository linking to biomedical databases automatically extracted from the scientific literature. BiDI provides an index of data resources and a path to access them seamlessly. Methods: We designed an ensemble of deep learning methods to extract database mentions. To train the system, we annotated a set of 1242 articles that included mentions of database publications. Such a data set was used along with transfer learning techniques to train an ensemble of deep learning natural language processing models targeted at database publication detection. Results: The system obtained an F1 score of 0.929 on database detection, showing high precision and recall values. When applying this model to the PubMed and PubMed Central databases, we identified over 10,000 unique databases. The ensemble model also extracted the weblinks to the reported databases and discarded irrelevant links. For the extraction of weblinks, the model achieved a cross-validated F1 score of 0.908. We show two use cases: one related to “omics” and the other related to the COVID-19 pandemic. Conclusions: BiDI enables access to biomedical resources over the internet and facilitates data-driven research and other scientific initiatives. The repository is openly available online and will be regularly updated with an automatic text processing pipeline. The approach can be reused to create repositories of different types (ie, biomedical and others).Proyecto colaborativo de integración de datos genómicos; PI17/0156

Desarrollo experimental de controladores Fuzzy para procesos térmicos y neumáticos

In this project, a Fuzzy control system is proposed in an industrial process training module with two independent systems between them, one thermal and the other pneumatic. The control algorithm is developed in Python language v3.6 executed by a Raspberry Pi B+, both controllers depend on the error and change in error that are updated in times of 2 s and 1 s, for temperature and pressure respectively, communication with the plants uses A/D and D/A converters, the thermal Fuzzy was analyzed with three temperature references [50,100 and 150]°C, with a rise time of 191 s, 360 s and 505 s; steady state error of 5.5%, 0.7% y 0.7%, in the pneumatic system the speed of change between references is evaluated from 10 psi to 15 psi varying the activation of the compressor at the beginning of the&nbsp;experiments, the settling times obtained are 111 s and 106 s, with the compressor off the result is 116 s and 88 s, besides a maximum excess of 13% with inherent oscillations to the type system that are in an acceptable range.&nbsp;En este proyecto, se propone un sistema de control Fuzzy en un módulo de entrenamiento de procesos industriales con dos sistemas independientes entre sí, uno térmico y otro neumático, el algoritmo de control se desarrolla en lenguaje Python v3.6 ejecutado por una Raspberry Pi B+, ambos controladores dependen del error y cambio en el error que se actualizan en tiempos de 2 s y 1 s, para temperatura y presión respectivamente, la comunicación con las plantas emplea conversores A/D y D/A, el Fuzzy térmico se analizo con tres referencias de temperatura [50,100 y 150]°C, con un tiempo de subida de 191 s, 360 s y 505 s; error de estado estacionario de 5.5 %, 0.7% y 0.7 %, en el sistema neumático se evalúo la velocidad de cambio entre referencias de 10 psi a 15 psi variando la activación del compresor al inicio de los experimentos, los tiempos de asentamiento que se obtienen son 111 s y 106 s, con el compresor apagado el resultado es de 116 s y 88 s, además de un sobrepaso máximo de 13% con oscilaciones inherentes al tipo sistema que se encuentran en un rango aceptable.&nbsp

Diseño de una red de sensores inalámbricos para el despliegue óptimo de los nodos sensores en un cultivo de Cacao

In this study, factorial experiments were conducted in two different scenarios to design a Wireless Sensor Network for monitoring a cocoa crop in a rural area in Colombia. Node sensors measured temperature, relative humidity, soil moisture, Ultra-Violet light, and visible light intensity. The factors considered in the experiments were distance between node sensors, height from the ground, and type of antenna; in turn, Received Signal Strength Indicator and data transfer time were the outputs. The wireless sensor network was deployed in the crop, covering approximately 3 % of the area and using 7 different nodes in a cluster tree topology. First, an open field scenario with line of sight was used to determine the appropriate height of the node sensors. Second, a scenario in the actual cocoa crop was utilized to find the appropriate distance between modules and type of antenna. We found, based on our calculations and experimental data, that a height of 1.25 m was required to avoid the Fresnel zone and improve the RSSI of the network. Furthermore, we determined that a distance below 35 m was needed to guarantee signal reception and avoid long data transfer times. The wire antenna exhibited a better performance. Finally, the proposed methodology and monitoring system can be used for agronomic applications in rural areas in Colombia to increase crop yield.En este trabajo se realizaron experimentos factoriales en dos escenarios diferentes, para diseñar una red de sensores inalámbricos, que permita monitorear un cultivo de cacao en una zona rural de Colombia. Los nodos sensores miden la temperatura, la humedad relativa, la humedad del suelo, la luz ultravioleta y la intensidad de la luz visible. Los factores considerados en los experimentos fueron la distancia entre los nodos sensores, la altura con respecto al suelo y el tipo de antena; el indicador de intensidad de señal recibida y el tiempo de transferencia de datos fueron las salidas. La red de sensores inalámbricos se implementó en el cultivo, cubriendo aproximadamente el 3 % del área, utilizando 7 nodos diferentes en una topología de cluster-tree. En primer lugar, se utilizó un escenario de campo abierto con línea de vista para determinar la altura adecuada de los sensores de nodo. Luego, se utilizó un escenario en el cultivo de cacao real para encontrar la distancia adecuada entre los módulos y el tipo de antena. Se obtuvo, por cálculos y datos experimentales, que se requería una altura de 1.25 m para evitar la zona de Fresnel y mejorar el RSSI de la red. Además, se determinó que se necesitaba una distancia inferior a 35 m para garantizar la recepción de la señal y evitar largos tiempos de transferencia de datos. Adicionalmente, la antena tipo Wire exhibió un mayor rendimiento y la metodología propuesta y el sistema de monitoreo se pueden usar para aplicaciones agronómicas en áreas rurales de Colombia, con el fin de aumentar el rendimiento de los cultivos

Analysis of the Behavior of an Indoor Position System Based on Fingerprints and IEEE 802.15.4

This paper presents an analysis of the behaviour of an indoor position system based on fingerprints and IEEE 802.15.4 that has been adapted to be tested in a competition, called EvAAL (Evaluating AAL Systems through Competitive Benchmarking), hold both in Madrid (tests) and Eindhoven (results). The objectives of this analysis are to determine the best algorithm that should have been applied in order to obtain the best results in the competition to use them in other environments. Among the different combinations that can be applied, i.e., the way the signature database is filled in and the algorithm uses to determine the closest location point, the best results are obtained using a global signature database where each signature entry is calculated by the medium of samples signatures database and the closest location is determined by a centroid algorithm with the parameter c set to 1.3. In this way, the error made improves the one obtained in the EvAAL, which is reduced by 100 centimetres.Junta de Andalucía p08-TIC-363