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Sergi Meseguer
Àrea de Cristal·lografia i Mineralogia, Departament de Ciències Agràries i del Medi Natural, Universitat Jaume I, Castelló, España

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Anatomy
Published: 07 July 2021 in PLOS ONE
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A new styracosternan ornithopod genus and species is described based on the right dentary of a single specimen from the Mirambell Formation (Early Cretaceous, early Barremian) at the locality of Portell, (Castellón, Spain). Portellsaurus sosbaynati gen. et sp. nov. is diagnosed by two autapomorphic features as well as a unique combination of characters. The autapomorphies include: the absence of a bulge along the ventral margin directly ventral to the base of the coronoid process and the presence of a deep oval cavity on the medial surface of the mandibular adductor fossa below the eleventh-twelfth tooth position. Phylogenetic analyses reveal that the new Iberian form is more closely related to the African taxon Ouranosaurus nigeriensis than to its synchronic Iberian taxa Magnamanus soriaensis and Iguanodon galvensis. In addition, Portellsaurus sosbaynati is less related to other Iberian taxa such as Iguanodon bernissartensis and Proa valdearinnoensis than to the other Early Cretaceous Iberian styracosternans Mantellisaurus atherfieldensis and Morelladon beltrani. A new phylogenetic hypothesis is proposed that resolves Iguanodon (I. bernissartensis, I. galvensis) with the Valanginian Barilium dawsoni into a monophyletic clade (Iguanodontoidea). The recognition of Portellsaurus sosbaynati gen. et sp. nov. as the first styracosternan dinosaur species identified from the Margas de Mirambell Formation (early Barremian–early late Barremian) in the Morella sub-basin (Maestrat Basin, eastern Spain) indicates that the Iberian Peninsula was home to a highly diverse assemblage of medium-to-large bodied styracosternan hadrosauriforms during the Early Cretaceous.

ACS Style

Andrés Santos-Cubedo; Carlos de Santisteban; Begoña Poza; Sergi Meseguer. A new styracosternan hadrosauroid (Dinosauria: Ornithischia) from the Early Cretaceous of Portell, Spain. PLOS ONE 2021, 16, e0253599 .

AMA Style

Andrés Santos-Cubedo, Carlos de Santisteban, Begoña Poza, Sergi Meseguer. A new styracosternan hadrosauroid (Dinosauria: Ornithischia) from the Early Cretaceous of Portell, Spain. PLOS ONE. 2021; 16 (7):e0253599.

Chicago/Turabian Style

Andrés Santos-Cubedo; Carlos de Santisteban; Begoña Poza; Sergi Meseguer. 2021. "A new styracosternan hadrosauroid (Dinosauria: Ornithischia) from the Early Cretaceous of Portell, Spain." PLOS ONE 16, no. 7: e0253599.

Journal article
Published: 29 April 2020 in Applied Sciences
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The production of porcelain stoneware has experienced a considerable increase. Therefore, it was necessary to undertake an investigation that would allow knowing the mineralogical evolution that porcelain stoneware undergoes during the firing process, as well as establishing the influence of the formation of mullite and other mineral or vitreous phases and their quantification. The firing transformations of mine spoils associated with mined coal in the Utrillas-Escucha-Estercuel and Ariño-Andorra areas are studied in this paper. The mineralogical composition of the bulk mine spoils is kaolinite, illite, chlorite, and smectites (in traces), with quartz and feldspar, and minor hematite, calcite, and dolomite. The main objective is to understand the generation of high-temperature mineral phases after firing, and their quantification. The formation of mullite and other high-temperature phases are studied from samples that include variable proportions of illite. Samples with a high content of illite generate mullite at 995 °C. Cristobalite was not detected as a high-temperature phase. Mullite is the most abundant mineral. The hercynite content is higher at low temperatures (995 °C), and hematite content is higher at 1150 °C. The vitreous phase represents about 50% of fired bodies. Despite observing a porous microstructure, the non-porous areas are well sintered.

ACS Style

Manuel Miguel Jordán; Sergio Meseguer; Francisco Pardo; María Adriana Montero. High-Temperature Mineral Formation after Firing Clay Materials Associated with Mined Coal in Teruel (Spain). Applied Sciences 2020, 10, 3114 .

AMA Style

Manuel Miguel Jordán, Sergio Meseguer, Francisco Pardo, María Adriana Montero. High-Temperature Mineral Formation after Firing Clay Materials Associated with Mined Coal in Teruel (Spain). Applied Sciences. 2020; 10 (9):3114.

Chicago/Turabian Style

Manuel Miguel Jordán; Sergio Meseguer; Francisco Pardo; María Adriana Montero. 2020. "High-Temperature Mineral Formation after Firing Clay Materials Associated with Mined Coal in Teruel (Spain)." Applied Sciences 10, no. 9: 3114.

Journal article
Published: 16 December 2019 in Sustainability
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A suitable and quick determination of air quality allows the population to be alerted with respect to high concentrations of pollutants. Recent advances in computer science have led to the development of a high number of low-cost sensors, improving the spatial and temporal resolution of air quality data while increasing the effectiveness of risk assessment. The main objective of this work is to perform a validation of a particulate matter (PM) sensor (HM-3301) in indoor and outdoor environments to study PM2.5 and PM10 concentrations. To date, this sensor has not been evaluated in real-world situations, and its data quality has not been documented. Here, the HM-3301 sensor is integrated into an Internet of things (IoT) platform to establish a permanent Internet connection. The validation is carried out using a reference sampler (LVS3 of Derenda) according to EN12341:2014. It is focused on statistical insight, and environmental conditions are not considered in this study. The ordinary Linear Model, the Generalized Linear Model, Locally Estimated Scatterplot Smoothing, and the Generalized Additive Model have been proposed to compare and contrast the outcomes. The low-cost sensor is highly correlated with the reference measure ( R 2 greater than 0.70), especially for PM2.5, with a very high accuracy value. In addition, there is a positive relationship between the two measurements, which can be appropriately fitted through the Locally Estimated Scatterplot Smoothing model.

ACS Style

Sergio Trilles; Ana Belen Vicente; Pablo Juan; Francisco Ramos; Sergi Meseguer; Laura Serra. Reliability Validation of a Low-Cost Particulate Matter IoT Sensor in Indoor and Outdoor Environments Using a Reference Sampler. Sustainability 2019, 11, 7220 .

AMA Style

Sergio Trilles, Ana Belen Vicente, Pablo Juan, Francisco Ramos, Sergi Meseguer, Laura Serra. Reliability Validation of a Low-Cost Particulate Matter IoT Sensor in Indoor and Outdoor Environments Using a Reference Sampler. Sustainability. 2019; 11 (24):7220.

Chicago/Turabian Style

Sergio Trilles; Ana Belen Vicente; Pablo Juan; Francisco Ramos; Sergi Meseguer; Laura Serra. 2019. "Reliability Validation of a Low-Cost Particulate Matter IoT Sensor in Indoor and Outdoor Environments Using a Reference Sampler." Sustainability 11, no. 24: 7220.

Journal article
Published: 22 October 2019 in Sustainability
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A statistical modelling of PM10 concentration (2006–2015) is applied to understand the behaviour, to know the influence of the variables to exposure risk, to treat the missing data to evaluate air quality, and to estimate data for those sites where they are not available. The study area, Castellón region (Spain), is a strategic area in the framework of EU pollution control. A decrease of PM10 is observed for industrial and urban stations. In the case of rural stations, the levels remain constant throughout the study period. The contribution of anthropogenic sources has been estimated through the PM10 background of the study area. The behaviour of PM10 annual trend is tri-modal for industrial and urban stations and bi-modal in the case of rural stations. The EU Normative suggests that 90% of the data per year are necessary to control air quality. Thus, interpolation statistical methods are presented to fill missing data: Linear Interpolation, Exponential Interpolation, and Kalman Smoothing. This study also focuses on testing the goodness of these methods in order to find the ones that better approach the gaps. After analyzing graphically and using the RMSE the last method is confirmed to be the best option.

ACS Style

Ana Belen Vicente; Pablo Juan; Sergi Meseguer; Laura Serra; Sergio Trilles. Air Quality Trend of PM10. Statistical Models for Assessing the Air Quality Impact of Environmental Policies. Sustainability 2019, 11, 5857 .

AMA Style

Ana Belen Vicente, Pablo Juan, Sergi Meseguer, Laura Serra, Sergio Trilles. Air Quality Trend of PM10. Statistical Models for Assessing the Air Quality Impact of Environmental Policies. Sustainability. 2019; 11 (20):5857.

Chicago/Turabian Style

Ana Belen Vicente; Pablo Juan; Sergi Meseguer; Laura Serra; Sergio Trilles. 2019. "Air Quality Trend of PM10. Statistical Models for Assessing the Air Quality Impact of Environmental Policies." Sustainability 11, no. 20: 5857.