Using homosoils for quantitative extrapolation of soil mapping models

Andree Nenkam Alexandre Wadoux Budiman Minasny Alex McBratney Pierre C. Sibiry Traore Gatien Falconnier Anthony Whitbread (2022, [Artículo])

Cubist Digital Soil Mapping Model-Based Validation Soil Spatial Variation Soil-Forming Factors CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA LAND USE ORGANIC CARBON SOIL SURVEYS SPATIAL VARIATIONS

Modeling spatiotemporal patterns of land use/land cover change in Central Malawi using a neural network model

Leah Mungai Joseph Messina Leo Zulu Jiaguo Qi Sieglinde Snapp (2022, [Artículo])

Multilayer Perceptrons CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA AGRICULTURE LAND USE POPULATION SATELLITE IMAGERY TEXTURE LAND COVER NEURAL NETWORKS REMOTE SENSING

Ajustar las condiciones de operación de una prensa hidráulica horizontal de fabricación propia para un proceso de doblado en frío a 90°

Hugo Estrada Pimentel HUGO ARCOS GUTIERREZ JOSE ANTONIO BETANCOURT CANTERA Jan Mayén Chaires John Edison García Herrera (2023, [Artículo])

During the cold-bending process, the tooling suffers considerable damage due to excess pressure. This also causes the machines to break down, causing problems in the precision and quality of the metal parts formed. The precision depends on the operating conditions of the press, the tooling employed, and the elastic recovery effect of the material. This study determines the working conditions for a made-in-house horizontal hydraulic press through an experimental design (DOE). This research carried out the V-forming to 90° (ISO 2768-1) of a hot-rolled carbon steel plate, considering pressure, piston permanence time, and recovery factor (Kr). The experimental and statistical analysis ensures accurate forming while the work pressure decreases by 17% and 33%, respectively, regarding the maximum. This reduction will delay the appearance of fatigue damage and have the operating parameters well established; in turn, it will be possible to design tools according to commercial standards.

Durante el proceso de conformado en frío, las herramientas sufren daños considerables debido al exceso de presión. Esto también causa que las máquinas se rompan, causando problemas en la precisión y calidad de las piezas metálicas formadas. La precisión depende de las condiciones de funcionamiento de la prensa, las herramientas empleadas y el efecto elástico de recuperación del material. Este estudio determina las condiciones de trabajo de una prensa hidráulica horizontal fabricado en casa a través de un diseño experimental (DOE). Esta investigación llevó a cabo el conformado en V a 90° (ISO 2768-1) de una placa de acero al carbono laminada en caliente, teniendo en cuenta la presión, el tiempo de permanencia del pistón y el factor de recuperación (Kr). El análisis experimental y estadístico asegura un conformado preciso, mientras que la presión de trabajo disminuyó en un 17% y 33%, respectivamente, con respecto al máximo. Esta reducción retrasará la aparición de daños por fatiga y tendrá los parámetros de funcionamiento bien establecidos; con estos, a su vez, será posible diseñar herramientas de acuerdo con los estándares comerciales.

Authorship acknowledgement: Hugo Estrada: Conceptualization; methodology; validation; writing; revision; project administration; software; investigation; display; draft writing; reviewing and editing. Hugo Arcos: Conceptualization; methodology; validation; writing; revision; simulation; software; reviewing. José A. Betancourt: Supervision; methodology; validation; writing; revision; draft writing: writing reviewing and editing. Jan Mayen: Supervision; methodology; validation; writing; revision; formal analysis.

John E. García: Conceptualization; supervision; methodology; validation; writing; revision; project management; formal analysis, draft writing: writing reviewing and editing.

Cold forming DOE ANOVA Recovery factor (Kr) Factorial analysis 2k Spring back (SB) Conformado en frío Factor de recuperación (Kr) Análisis factorial 2k Recuperación elástica (SB) INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS OTRAS ESPECIALIDADES TECNOLÓGICAS OTRAS OTRAS

GENERATION OF LG VECTOR MODES WITH ULTRAHIGH STABILITY BASED ON COMPLEX AMPLITUDE MODULATION IN AN ON-AXIS CONFIGURATION

Gloria Elizabth Rodríguez García (2023, [Tesis de maestría])

"This thesis presents a novel technique for generating vector beams using complex amplitude modulation (CAM) in an on-axis configuration. The holograms used to generate the beams were created using the Mathlab software and displayed on a reflective spatial light modulator (SLM). The main goal of this research was to address both the purity and stability of the beams during generation and propagation, introducing a quantitative approach to assess their stability. As a proof-of-concept, Laguerre-Gaussian vector beams have been generated and characterized using Stokes polarimetry with the proposed experimental set up."

Structured light Laguerre-Gauss vector beams Stokes polarimetry Beam generation Spatial light modulators CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA FÍSICA ÓPTICA OPTICA FÍSICA OPTICA FÍSICA

Systematic Literature Review on Smart Specialization: Future Prospects and Opportunities

Beatriz Rosas Michael Demmler (2023, [Artículo])

"Smart specialisation (SS) has been the new cohesion policy in the European Union during the last two periods. The present study aims to analyse the most relevant existing state-of-the-art literature on smart specialisation through a systematic and bibliometric review. Using the Web of Science bibliographic database, we analysed the content of 207 articles under the TCCM methodology and constructed a network of citations in order to summarize theories, characteristics, context and methods presented in existing studies on the topic. Our results show the theoretical and methodological gaps of the past, such as Entrepreneurial Discovery Process and SS indicators. These remain to the present day. The context analysis showed that the scope of smart specialisation extended beyond the frontiers of the European Union, given how it has been adopted by other countries as well. These results suggest the importance of developing a more robust theoretical, conceptual and methodological framework. Consequently, the guides need to be more accurate and should be continuously updated. Our results are valuable for the EDP actors and have policymaking implications".

Especialización inteligente Estrategias de innovación regional Revisión de literatura sistemática Métodos de especialización inteligente Smart specialization Smart specialization methods CIENCIAS SOCIALES CIENCIAS SOCIALES

Evaluación del aporte hidrológico superficial en el sistema de bloque de montaña de la subcuenca Ojos Negros

Surface hydrological contribution evaluation in the mountain block system of the Ojos Negros subbasin

Ricardo Adolfo Hidalgo Rodríguez (2023, [Tesis de maestría])

Este trabajo se realizó en la sección de la subcuenca Ojos Negros, sobre el bloque de montaña de la Sierra de Juárez (denominado Sistema de Bloque de Montaña de la Subcuenca Ojos Negros, SBMON), en el estado de Baja California, México. Se llevó a cabo un modelado hidrológico del escurrimiento en el periodo 1981-2020 para cuantificar el aporte hidrológico de salida hacia el Valle de Ojos Negros. En cumplimiento del objetivo, se diseñó una base de datos meteorológicos compuesta por los registros diarios de las estaciones meteorológicas en la región y del modelo de forzamiento de superficie NLDAS2. Se recopiló un conjunto de información edafológica, forestal, geológica, satelital y topográfica dentro del área de estudio. Con la información recolectada, se elaboraron dos modelos de escurrimiento empleando el método de las curvas numeradas (CN) del Departamento de Agricultura de los Estados Unidos (USDA). Los modelos fueron ajustados con los valores de sustracción inicial, Ia, de 0.2 (modelo A) y 0.05 (modelo B). Las series generadas se compararon con los resultados del modelo GCN250, basado en los datos edafológicos y forestales de la Agencia Espacial Europea (ESA). A nivel regional, se observó un aporte de escurrimiento anual de 9.2 Mm3 (GCN250), 10.9 Mm3 (modelo A) y 4.7 Mm3 (modelo B). La sección oriental del SBMON mostró el mayor potencial de infiltración, pero también fue la zona con mayor producción de escurrimiento en todos los modelos. Desde la perspectiva estacional, se identificaron periodos donde los escurrimientos formados a partir de las lluvias en verano superaron a los generados en la temporada invernal. Con base a los resultados obtenidos, el aporte de escurrimiento dentro del SBMON es significativa, no obstante, los procesos de escurrimiento subsuperficial y subterráneo pueden tener un papel todavía más importante en la recarga hacia el Valle de Ojos Negros. Se recomienda dar seguimiento a la variación del contenido de humedad en los suelos del SBMON, a los patrones anuales y estacionales de precipitación, así como la contribución hídrica del derretimiento de la nieve en la Sierra de Juárez.

This work was realized in the section of the Ojos Negros sub-basin, on the Sierra de Juárez mountain block (denominated Mountain Block System of the Ojos Negros Sub-Basin, SBMON), in the state of Baja California, Mexico. A hydrological runoff modeling was carried out for the period 1981-2020 to quantify the output hydrological contribution toward the Ojos Negros Valley. In compliance with the objective, a meteorological database consisting of the daily records of the meteorological stations and the NLDAS-2 surface forcing model was designed. A set of edaphological, forestry, geological, satellite, and topographical information was collected within the study area. Based on the collected information, two runoff models were developed using the Curve Number (CN) method from the United States Department of Agriculture (USDA). The models were adjusted with the initial subtraction values, Ia, of 0.2 (model A) and 0.05 (model B). The generated series were compared with the results of the GCN250 model, based on soil and forestry data from the European Space Agency (ESA). Regionally, an annual runoff contribution of 9.2 Mm3 (GCN250), 10.9 Mm3 (model A), and 4.7 Mm3 (model B) was observed. The eastern section of the SBMON showed the highest infiltration potential, but it was also the area with the highest runoff production in all models. From the seasonal perspective, periods were identified where the runoff formed from summer rains exceeded that generated in the winter season. Based on the results obtained, the runoff contribution within the SBMON is significant, however, the subsurface and underground runoff processes may have an even more key role in the recharge toward the Ojos Negros Valley. It is recommended to monitor the variation of the moisture content in the SBMON soils, the annual and seasonal patterns of precipitation, as well as the water contribution from the snow melting in the Sierra de Juárez.

Sistema de bloque de montaña de la subcuenca Ojos Negros, escurrimiento, infiltración, método de las Curvas Numeradas, GCN250 Mountain Block System of the Ojos Negros Sub-Basin, runoff, infiltration, Curve Number method, GCN250 CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA CIENCIAS DE LA TIERRA Y DEL ESPACIO OTRAS ESPECIALIDADES DE LA TIERRA, ESPACIO O ENTORNO OTRAS OTRAS

Multi-environment genomic prediction of plant traits using deep learners with dense architecture

Osval Antonio Montesinos-Lopez Jose Crossa (2018, [Artículo])

Shared Data Resources Deep Learning Genomic Prediction CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA ACCURACY GENOMICS NEURAL NETWORKS FORECASTING DATA MARKER-ASSISTED SELECTION

Enviromic prediction enables the characterization and mapping of Eucalyptus globulus Labill breeding zones

Germano Costa Neto Jose Crossa (2024, [Artículo])

Forest Tree Breeding Genomic Relationship Matrix Genomic Selection Best Linear Unbiased Prediction CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA FOREST TREES BREEDING MARKER-ASSISTED SELECTION MYRTACEAE EUCALYPTUS GLOBULUS

The potential of UAV and very high-resolution satellite imagery for yellow and stem rust detection and phenotyping in Ethiopia

Gerald Blasch David Hodson Francelino Rodrigues (2023, [Artículo])

Very high (spatial and temporal) resolution satellite (VHRS) and high-resolution unmanned aerial vehicle (UAV) imagery provides the opportunity to develop new crop disease detection methods at early growth stages with utility for early warning systems. The capability of multispectral UAV, SkySat and Pleiades imagery as a high throughput phenotyping (HTP) and rapid disease detection tool for wheat rusts is assessed. In a randomized trial with and without fungicide control, six bread wheat varieties with differing rust resistance were monitored using UAV and VHRS. In total, 18 spectral features served as predictors for stem and yellow rust disease progression and associated yield loss. Several spectral features demonstrated strong predictive power for the detection of combined wheat rust diseases and the estimation of varieties’ response to disease stress and grain yield. Visible spectral (VIS) bands (Green, Red) were more useful at booting, shifting to VIS–NIR (near-infrared) vegetation indices (e.g., NDVI, RVI) at heading. The top-performing spectral features for disease progression and grain yield were the Red band and UAV-derived RVI and NDVI. Our findings provide valuable insight into the upscaling capability of multispectral sensors for disease detection, demonstrating the possibility of upscaling disease detection from plot to regional scales at early growth stages.

Very High Resolution Imagery Disease Detection Methods Early Growth Stages CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA UNMANNED AERIAL VEHICLES STEM RUST PHENOTYPING HIGH-THROUGHPUT PHENOTYPING WHEAT

The contribution of strong and weak ties to resilience: The case of small-scale maize farming systems in Mexico

Tania Carolina Camacho Villa Ernesto Adair Zepeda Villarreal Julio Díaz-José Roberto Rendon-Medel Bram Govaerts (2023, [Artículo])

Social Network Analysis Farm Typologies Social Ties Strong Ties CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA INNOVATION NETWORKS PERSISTENCE SOCIAL NETWORK ANALYSIS MAIZE FARMING SYSTEMS