Actas de las V Jornadas ScienCity 2022. Fomento de la Cultura Científica, Tecnológica y de Innovación en Ciudades Inteligentes

ScienCity es una actividad que viene siendo continuada desde 2018 con el objetivo de dar a conocer los conocimientos y tecnologías emergentes siendo investigados en las universidades, informar de experiencias, servicios e iniciativas puestas ya en marcha por instituciones y empresas, llegar hasta decisores políticos que podrían crear sinergias, incentivar la creación de ideas y posibilidades de desarrollo conjuntas, implicar y provocar la participación ciudadana, así como gestar una red internacional multidisciplinar de investigadores que garantice la continuación de futuras ediciones. En 2022 se recibieron un total de 48 trabajos repartidos en 25 ponencias y 24 pósteres pertenecientes a 98 autores de 14 instituciones distintas de España, Portugal, Polonia y Países Bajos.Fundación Española para la Ciencia y la Tecnología-Ministerio de Ciencia, Innovación y Universidades; Consejería de la Presidencia, Administración Pública e Interior de la Junta de Andalucía; Estrategia de Política de Investigación y Transferencia de la Universidad de Huelva; Cátedra de Innovación Social de Aguas de Huelva; Cátedra de la Provincia; Grupo de investigación TEP-192 de Control y Robótica; Centro de Investigación en Tecnología, Energía y Sostenibilidad (CITES

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time, and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space. While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes, vast areas of the tropics remain understudied. In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity, but it remains among the least known forests in America and is often underrepresented in biodiversity databases. To worsen this situation, human-induced modifications may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge, it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Performance of two-dimensional Doppler echocardiography for the assessment of infarct size and left ventricular function in rats

Although echocardiography has been used in rats, few studies have determined its efficacy for estimating myocardial infarct size. Our objective was to estimate the myocardial infarct size, and to evaluate anatomic and functional variables of the left ventricle. Myocardial infarction was produced in 43 female Wistar rats by ligature of the left coronary artery. Echocardiography was performed 5 weeks later to measure left ventricular diameter and transverse area (mean of 3 transverse planes), infarct size (percentage of the arc with infarct on 3 transverse planes), systolic function by the change in fractional area, and diastolic function by mitral inflow parameters. The histologic measurement of myocardial infarction size was similar to the echocardiographic method. Myocardial infarct size ranged from 4.8 to 66.6% when determined by histology and from 5 to 69.8% when determined by echocardiography, with good correlation (r = 0.88; P < 0.05; Pearson correlation coefficient). Left ventricular diameter and mean diastolic transverse area correlated with myocardial infarct size by histology (r = 0.57 and r = 0.78; P < 0.0005). The fractional area change ranged from 28.5 ± 5.6 (large-size myocardial infarction) to 53.1 ± 1.5% (control) and correlated with myocardial infarct size by echocardiography (r = -0.87; P < 0.00001) and histology (r = -0.78; P < 00001). The E/A wave ratio of mitral inflow velocity for animals with large-size myocardial infarction (5.6 ± 2.7) was significantly higher than for all others (control: 1.9 ± 0.1; small-size myocardial infarction: 1.9 ± 0.4; moderate-size myocardial infarction: 2.8 ± 2.3). There was good agreement between echocardiographic and histologic estimates of myocardial infarct size in rats

Gradiente florístico das florestas secundárias do Nordeste Paraense Floristic gradient of the northeast Paraense secondary forests

O presente estudo descreve um gradiente florístico de uma cronosequência de florestas secundárias do Nordeste Paraense, a partir de 19 sítios de diferentes idades, avaliados em diferentes anos. Foram usados os dados de densidade e realizada análise de regressão para riqueza, diversidade, densidade, densidade relativa máxima e equibilidade em relação à idade. Foi usado o método de análise de agrupamento hierárquico, sendo a distância euclidiana utilizada como medida de dissimilaridade e aplicada uma Análise de Componente Principal (PCA) para confirmação dos grupos. Após a definição dos grupos, foi feita a análise indicadora de espécies (IndVal) sobre a mesma matriz utilizada para análise de agrupamento. Encontrou-se um gradiente geográfico na cronosequência analisada e as espécies Tapirira guianensis, Vismia guianensis, Inga alba, Lacistema aggregatum, Croton maturensis, Abarema jupunba, Inga rubiginosa, Guateria poepigiana e Thyrsodium paraense, são indicadoras das florestas secundárias do Nordeste Paraense analisadas neste estudo.<br>This study describes a floristic gradient of secondary forest chronosequence in northeast of Pará State - Brazil, from 19 sites of different ages, evaluated in different years. We used density data and carried out regression analysis for richness, diversity, density, maximum relative density and equitability in relation to the age. We used the hierarchic grouping method of analysis and the Euclidean distance as dissimilarity measure, and applied a Principal Component Analysis (PCA) for confirming the groups. After defining the groups, we made an indicating species analysis (IndVal) on the same matrix used for the grouping analysis. We found a geographic gradient in the chronosequence analyzed and the species Tapirira guianensis, Vismia guianensis, Inga alba, Lacistema aggregatum, Croton maturensis, Abarema jupunba, Inga rubiginosa, Guateria poepigiana and Thyrsodium paraense to be indicators of the northeast Para (Brazil) secondary forests analyzed in this study