A Comparison of Multi-Label Text Classification Models in Research Articles Labeled With Sustainable Development Goals

Roberto Carlos Morales-Hernández Joaquín Gutiérrez Jaguey David Becerra-Alonso (2022, [Artículo])

"The classification of scientific articles aligned to Sustainable Development Goals is crucial for research institutions and universities when assessing their influence in these areas. Machine learning enables the implementation of massive text data classification tasks. The objective of this study is to apply Natural Language Processing techniques to articles from peer-reviewed journals to facilitate their classification according to the 17 Sustainable Development Goals of the 2030 Agenda. This article compares the performance of multi-label text classification models based on a proposed framework with datasets of different characteristics. The results show that the combination of Label Powerset (a transformation method) with Support Vector Machine (a classification algorithm) can achieve an accuracy of up to 87% for an imbalanced dataset, 83% for a dataset with the same number of instances per label, and even 91% for a multiclass dataset."

Classification algorithm, multi-label text classification, problem transformation method, scientific articles, sustainable development goals, text classification INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS TECNOLOGÍA DE LOS ORDENADORES LENGUAJES ALGORÍTMICOS LENGUAJES ALGORÍTMICOS

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

Assessing the Response of Nematode Communities to Climate Change-Driven Warming: A Microcosm Experiment

RUTH GINGOLD WERMUTH (2013, [Artículo])

Biodiversity has diminished over the past decades with climate change being among the main responsible factors. One consequence of climate change is the increase in sea surface temperature, which, together with long exposure periods in intertidal areas, may exceed the tolerance level of benthic organisms. Benthic communities may suffer structural changes due to the loss of species or functional groups, putting ecological services at risk. In sandy beaches, free-living marine nematodes usually are the most abundant and diverse group of intertidal meiofauna, playing an important role in the benthic food web. While apparently many functionally similar nematode species co-exist temporally and spatially, experimental results on selected bacterivore species suggest no functional overlap, but rather an idiosyncratic contribution to ecosystem functioning. However, we hypothesize that functional redundancy is more likely to observe when taking into account the entire diversity of natural assemblages. We conducted a microcosm experiment with two natural communities to assess their stress response to elevated temperature. The two communities differed in diversity (high [HD] vs. low [LD]) and environmental origin (harsh vs. moderate conditions). We assessed their stress resistance to the experimental treatment in terms of species and diversity changes, and their function in terms of abundance, biomass, and trophic diversity. According to the Insurance Hypothesis, we hypothesized that the HD community would cope better with the stressful treatment due to species functional overlap, whereas the LD community functioning would benefit from species better adapted to harsh conditions. Our results indicate no evidence of functional redundancy in the studied nematofaunal communities. The species loss was more prominent and size specific in the HD; large predators and omnivores were lost, which may have important consequences for the benthic food web. Yet, we found evidence for alternative diversity-ecosystem functioning relationships, such as the Rivets and the Idiosyncrasy Model. © 2013 Gingold et al.

aquaculture, article, bacterivore, benthos, biodiversity, biomass, climate, community dynamics, controlled study, ecosystem, environmental temperature, microcosm, nematode, nonhuman, population abundance, species diversity, species richness, taxonomy CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA CIENCIAS DE LA TIERRA Y DEL ESPACIO OCEANOGRAFÍA OCEANOGRAFÍA