Broadband 2.12 GHz Ti : sapphire laser compressed to 5.9 femtoseconds using MIIPS

CAPES - COORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DE NÍVEL SUPERIORFAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULOCNPQ - CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICOWe report a self-starting prismless femtosecond Ti:sapphire ring laser whose repetition rate has been gradually increased from 1 to 2.12 GHz. A broadband spectrum extending from 650 to 1040 nm, in which 17% of the intracavity power is generated in a single-pass through the crystal, is preserved in spite of the reduction in peak power. An average power of 0.95 W was obtained for 7.5 W of pump power, with very stable operation verified over 22 hours. Pulses from this laser have been fully characterized in spectral phase, and then compressed to 5.9 femtoseconds using multiphoton intrapulse interference phase scan (MIIPS).We report a self-starting prismless femtosecond Ti:sapphire ring laser whose repetition rate has been gradually increased from 1 to 2.12 GHz. A broadband spectrum extending from 650 to 1040 nm, in which 17% of the intracavity power is generated in a single-pass through the crystal, is preserved in spite of the reduction in peak power. An average power of 0.95 W was obtained for 7.5 W of pump power, with very stable operation verified over 22 hours. Pulses from this laser have been fully characterized in spectral phase, and then compressed to 5.9 femtoseconds using multiphoton intrapulse interference phase scan (MIIPS).16141003310038CAPES - COORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DE NÍVEL SUPERIORFAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULOCNPQ - CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICOCAPES - COORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DE NÍVEL SUPERIORFAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULOCNPQ - CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICOSem informaçãoSem informaçãoSem informaçãoG. T. Nogueira acknowledges a scholarship from CAPES. F. C. Cruz ([email protected]) acknowledges financial support from FAPESP, CEPOF, and CNPq. The MSU team acknowledges partial funding for the project from the National Science Foundation

Macrofauna assemblages in a XVIIth century shipwreck: comparison with those on natural reefs and sandy bottoms

The macrofauna assemblages of a XVIIth century shipwreck off southern Portugal were studied and compared with those of nearby natural reefs and sandy bottoms, by underwater visual census. A total of 11 173 specimens of 224 different fauna taxa and 12 phyla were recorded. Natural reefs had the highest density of specimens (35 122 / 1000 m2) followed by the shipwreck (21 392 / 1000 m2) and the sandy bottoms (3771 / 1000 m2). Three biodiversity indices were estimated (Margalef, Shannon- Wiener and Pielou), with the natural reefs showing the highest values. However, the shipwreck presented values relatively similar to those of the natural reefs for the Shannon-Wiener and Pielou indices. The three habitats were clearly distinguishable by multivariate statistical analysis, with the average dissimilarity between sand and shipwreck, and between sand and natural reefs being much higher than that between the shipwreck and the natural reefs. The shipwreck had higher abundances of some commercially important species, such as the pouting Trisopterus luscus, European conger Conger conger, and common spider crab Maja squinado, as well as some vulnerable and threatened species such as the pink seafan Eunicella verrucosa. The results presented emphasize the importance of this habitat on the southern Portuguese coast.info:eu-repo/semantics/publishedVersio

Macrofauna assemblages in a XVIIth century shipwreck: comparison with those on natural reefs and sandy bottoms

The macrofauna assemblages of a XVIIth century shipwreck off southern Portugal were studied and compared with those of nearby natural reefs and sandy bottoms, by underwater visual census. A total of 11 173 specimens of 224 different fauna taxa and 12 phyla were recorded. Natural reefs had the highest density of specimens (35 122 / 1000 m2) followed by the shipwreck (21 392 / 1000 m2) and the sandy bottoms (3771 / 1000 m2). Three biodiversity indices were estimated (Margalef, Shannon- Wiener and Pielou), with the natural reefs showing the highest values. However, the shipwreck presented values relatively similar to those of the natural reefs for the Shannon-Wiener and Pielou indices. The three habitats were clearly distinguishable by multivariate statistical analysis, with the average dissimilarity between sand and shipwreck, and between sand and natural reefs being much higher than that between the shipwreck and the natural reefs. The shipwreck had higher abundances of some commercially important species, such as the pouting Trisopterus luscus, European conger Conger conger, and common spider crab Maja squinado, as well as some vulnerable and threatened species such as the pink seafan Eunicella verrucosa. The results presented emphasize the importance of this habitat on the southern Portuguese coast.info:eu-repo/semantics/publishedVersio

Macrofauna assemblages in a XVIIth century shipwreck: comparison with those on natural reefs and sandy bottoms

The macrofauna assemblages of a XVIIth century shipwreck off southern Portugal were studied and compared with those of nearby natural reefs and sandy bottoms, by underwater visual census. A total of 11 173 specimens of 224 different fauna taxa and 12 phyla were recorded. Natural reefs had the highest density of specimens (35 122 / 1000 m²) followed by the shipwreck (21 392 / 1000 m²) and the sandy bottoms (3771 / 1000 m²). Three biodiversity indices were estimated (Margalef, Shannon-Wiener and Pielou), with the natural reefs showing the highest values. However, the shipwreck presented values relatively similar to those of the natural reefs for the Shannon-Wiener and Pielou indices. The three habitats were clearly distinguishable by multivariate statistical analysis, with the average dissimilarity between sand and shipwreck, and between sand and natural reefs being much higher than that between the shipwreck and the natural reefs. The shipwreck had higher abundances of some commercially important species, such as the pouting Trisopterus luscus, European conger Conger conger, and common spider crab Maja squinado, as well as some vulnerable and threatened species such as the pink seafan Eunicella verrucosa. The results presented emphasize the importance of this habitat on the southern Portuguese coast.As comunidades de macrofauna de um naufrágio do século XVII ocorrido ao largo da costa Sul de Portugal, foram estudadas e comparadas com recifes naturais e fundos de areia através de census visuais subaquáticos. Foram registados 11 173 espécimes pertencentes a 224 taxa faunísticos e 12 phyla. Os recifes naturais apresentaram a maior densidade de espécimes (35 122 / 1000 m²) seguidos do naufrágio (21 392 / 1000 m²) e dos fundos de areia (3771 / 1000 m²). Foram calculados três índices de biodiversidade (Margalef, Shannon-Wiener e Pielou), com os recifes naturais que apresentarem os valores mais elevados. No entanto, o naufrágio mostrou valores relativamente semelhantes aos fundos rochosos nos índices de Shannon-Wiener e Pielou. Os três habitats foram separados por estatística multivariada, com a dissimilaridade média entre areia e naufrágio, e entre areia e recifes naturais sendo muito superior à dissimilaridade entre os recifes naturais e o naufrágio. O naufrágio apresentou elevada abundância de algumas espécies comercialmente importantes, como a faneca Trisopterus luscus, o safio Conger conger e a santola Maja squinado, assim como de espécies vulneráveis e ameaçadas como a gorgonia rosa Eunicella verrucosa. Os resultados apresentados realçam a importância desse habitat para a costa Sul de Portugal

Un enfoque de aprendizaje profundo para estimar la frecuencia respiratoria del fotopletismograma

This article describes the methodology used to train and test a Deep Neural Network (DNN) with Photoplethysmography (PPG) data performing a regression task to estimate the Respiratory Rate (RR). The DNN architecture is based on a model used to infer the heart rate (HR) from noisy PPG signals, which is optimized to the RR problem using genetic optimization. Two open-access datasets were used in the tests, the BIDMC and the CapnoBase. With the CapnoBase dataset, the DNN achieved a median error of 1.16 breaths/min, which is comparable with analytical methods in the literature, in which the best error found is 1.1 breaths/min (excluding the 8 % noisiest data). The BIDMC dataset seems to be more challenging, as the minimum median error of the literature’s methods is 2.3 breaths/min (excluding 6 % of the noisiest data), and the DNN based approach achieved a median error of 1.52 breaths/min with the whole dataset.Este trabajo presenta una metodología para entrenar y probar una red neuronal profunda (Deep Neural Network – DNN) con datos de fotopletismografías (Photoplethysmography – PPG), con la finalidad de llevar a cabo una tarea de regresión para estimar la frecuencia respiratoria (Respiratory Rate – RR). La arquitectura de la DNN está basada en un modelo utilizado para inferir la frecuencia cardíaca (FC) a partir de señales PPG ruidosas. Dicho modelo se ha optimizado a través de algoritmos genéticos. En las pruebas realizadas se usaron BIDMC y CapnoBase, dos conjuntos de datos de acceso abierto. Con CapnoBase, la DNN logró un error de la mediana de 1,16 respiraciones/min, que es comparable con los métodos analíticos reportados en la literatura, donde el mejor error es 1,1 respiraciones/min (excluyendo el 8 % de datos más ruidosos). Por otro lado, el conjunto de datos BIDMC aparenta ser más desafiante, ya que el error mínimo de la mediana de los métodos reportados en la literatura es de 2,3 respiraciones/min (excluyendo el 6 % de datos más ruidosos). Para este conjunto de datos la DNN logra un error de mediana de 1,52 respiraciones/min

Does microbicide use in consumer products promote antimicrobial resistance? A critical review and recommendations for a cohesive approach to risk assessment

The increasing use of microbicides in consumer products is raising concerns related to enhanced microbicide resistance in bacteria and potential cross resistance to antibiotics. The recently published documents on this topic from the European Commission have spawned much interest to better understand the true extent of the putative links for the benefit of the manufacturers, regulators, and consumers alike. This white paper is based on a 2-day workshop (SEAC-Unilever, Bedford, United Kingdom; June 2012) in the fields of microbicide usage and resistance. It identifies gaps in our knowledge and also makes specific recommendations for harmonization of key terms and refinement/standardization of methods for testing microbicide resistance to better assess the impact and possible links with cross resistance to antibiotics. It also calls for a better cohesion in research in this field. Such information is crucial to developing any risk assessment framework on microbicide use notably in consumer products. The article also identifies key research questions where there are inadequate data, which, if addressed, could promote improved knowledge and understanding to assess any related risks for consumer and environmental safety

Un enfoque de aprendizaje profundo para estimar la frecuencia respiratoria del fotopletismograma

Este trabajo presenta una metodología para entrenar y probar una red neuronal profunda (Deep Neural Network – DNN) con datos de fotopletismografías (Photoplethysmography – PPG), con la finalidad de llevar a cabo una tarea de regresión para estimar la frecuencia respiratoria (Respiratory Rate – RR). La arquitectura de la DNN está basada en un modelo utilizado para inferir la frecuencia cardíaca (FC) a partir de señales PPG ruidosas. Dicho modelo se ha optimizado a través de algoritmos genéticos. En las pruebas realizadas se usaron BIDMC y CapnoBase, dos conjuntos de datos de acceso abierto. Con CapnoBase, la DNN logró un error de la mediana de 1,16 respiraciones/min, que es comparable con los métodos analíticos reportados en la literatura, donde el mejor error es 1,1 respiraciones/min (excluyendo el 8 % de datos más ruidosos). Por otro lado, el conjunto de datos BIDMC aparenta ser más desafiante, ya que el error mínimo de la mediana de los métodos reportados en la literatura es de 2,3 respiraciones/min (excluyendo el 6 % de datos más ruidosos). Para este conjunto de datos la DNN logra un error de mediana de 1,52 respiraciones/min.//This article describes the methodology used to train and test a Deep Neural Network (DNN) with Photoplethysmography (PPG) data performing a regression task to estimate the Respiratory Rate (RR). The DNN architecture is based on a model used to infer the heart rate (HR) from noisy PPG signals, which is optimized to the RR problem using genetic optimization. Two open-access datasets were used in the tests, the BIDMC and the CapnoBase. With the CapnoBase dataset, the DNN achieved a median error of 1.16 breaths/min, which is comparable with analytical methods in the literature, in which the best error found is 1.1 breaths/min (excluding the 8 % noisiest data). The BIDMC dataset seems to be more challenging, as the minimum median error of the literature’s methods is 2.3 breaths/min (excluding 6 % of the noisiest data), and the DNN based approach achieved a median error of 1.52 breaths/min with the whole dataset

Thermal oxidation of Poly(dicyclopentadiene)– kinetic modeling of double bond consumption

This paper reports chemical changes that occur in polydicyclopentadiene during thermal oxidation at several temperatures and oxygen pressures. A particular attention was paid to the double bond consumption since these latter are associated with crosslinking and subsequent changes in mechanical properties. A kinetic model was derived from the experimental results. Its rate constants were assessed from the “inverse approach” based on their selective identification under specific ageing conditions (for example under oxygen excess). The resulting model satisfactorily describes both carbonyl formation and double bond consumption for a wide range of temperature and oxygen pressure for the first time. This can be exploited to predict the changes of local mechanical properties

O Sítio Submarino dos Cortiçais

Artigo sobre os trabalhos arqueológicos subaquáticos desenvolvidos no sitio dos Cortiçais (Peniche