Transcending conventional biometry frontiers: Diffusive Dynamics PPG Biometry

In the first half of the 20th century, a first pulse oximeter was available to measure blood flow changes in the peripheral vascular net. However, it was not until recent times the PhotoPlethysmoGraphic (PPG) signal used to monitor many physiological parameters in clinical environments. Over the last decade, its use has extended to the area of biometrics, with different methods that allow the extraction of characteristic features of each individual from the PPG signal morphology, highly varying with time and the physical states of the subject. In this paper, we present a novel PPG-based biometric authentication system based on convolutional neural networks. Contrary to previous approaches, our method extracts the PPG signal's biometric characteristics from its diffusive dynamics, characterized by geometric patterns image in the (p, q)-planes specific to the 0-1 test. The diffusive dynamics of the PPG signal are strongly dependent on the vascular bed's biostructure, which is unique to each individual, and highly stable over time and other psychosomatic conditions. Besides its robustness, our biometric method is anti-spoofing, given the convoluted nature of the blood network. Our biometric authentication system reaches very low Equal Error Rates (ERRs) with a single attempt, making it possible, by the very nature of the envisaged solution, to implement it in miniature components easily integrated into wearable biometric systems.Comment: 18 pages, 6 figures, 4 table

Comparison of methods for downscaling runoff from regional climate models in Spanish basins

At present there is much literature that refers to the advantages and disadvantages of different methods of statistical and dynamical downscaling of climate variables projected by climate models. Less attention has been paid to other indirect variables, like runoff, which play a significant role in evaluating the impact of climate change on hydrological systems. Runoff presents a much greater bias in climate models than other climate variables, like temperature or precipitation. It is very important to identify the methods that minimize bias while downscaling runoff from the gridded results of climate models to the basin scal

Fear of Hazards in Commodity Futures Markets

We examine the commodity futures pricing role of active attention to weather, disease,geopolitical or economic threats or “hazard fear” as proxied by the volume of internet searches by 149 query terms. A long-short portfolio strategy that sorts the cross-section of commodity futures contracts according to a hazard fear signal captures a significant premium. This commodity hazard fear premium reflects compensation for extant fundamental, tail, volatility and liquidity risks factors, but it is not subsumed by them. Exposure to hazard-fear is strongly priced in the cross-section of commodity portfolios. The hazard fear premium exacerbates during periods of adverse sentiment or pessimism in financial markets

Looking beyond the average agricultural impacts in defining adaptation needs in Europe.

The effects of climate change on agriculture are often characterised by changes in the average productivity of crops; however, these indicators provide limited information regarding the risks associated with fluctuations in productivity resulting from future changes in climate variability that may also affect agriculture. In this context, this study evaluates the combined effects of the risks associated with anomalies reflected by changes in the mean crop yield and the variability of productivity in European agroclimatic regions under future climate change scenarios. The objective of this study is to evaluate adaptation needs and to identify regional effects that should be addressed with greater urgency in the light of the risks and opportunities that are identified. The results show differential effects on regional agriculture and highlight the importance of considering both regional average impacts and the variability in crop productivity in setting priorities for the adaptation and maintenance of rural incomes and agricultural insurance programme

Evaluación de la escorrentía media anual obtenida por fórmulas climáticas y modelos regionales de clima

En regiones en las que no se dispone de un modelo hidrológico correctamente calibrado para estimar la escorrentía, se puede recurrir a la utilización de la escorrentía directa simulada por los modelos climáticos o a la escorrentía calculada a partir de fórmulas climatológicas que emplean variables climáticas básicas como la precipitación, temperatura y radiación solar, simuladas por los modelos regionales de clima (MRC). El presente trabajo compara el comportamiento de la escorrentía directa obtenida por 10 simulaciones de los MRC del proyecto europeo PRUDENCE y la escorrentía media anual calculada a partir de la aplicación de cinco fórmulas climatológicas (Schreiber, Ol’dekop, Budyko, Turc-Pike, Zhang et al.) basadas en el índice de aridez, definido por la relación entre la evapotranspiración potencial y la precipitación. Series temporales mensuales de escorrentía, precipitación, temperatura y radiación solar son generadas a partir de las simulaciones de los MRC en 338 cuencas de España que cubren la totalidad del territorio peninsular, bajo condiciones de clima actual (periodo 1961-1990). La evapotranspiración potencial se obtiene usando el método presentado por Hargreaves. Estas formas funcionales estiman la relación entre la evapotranspiración actual y la precipitación y a través de un balance hídrico se calculan los valores de escorrentía anual. El comportamiento general de las variables climáticas simuladas por los MRC se caracteriza por presentar menor sesgo para precipitación y temperatura que para escorrentía. Empleando estadísticos de comparación se analiza la capacidad que tiene la escorrentía directa y la escorrentía anual calculada a partir de las fórmulas climáticas para reproducir los valores observados de escorrentía natural estimada por el modelo hidrológico distribuido SIMPA en las cuencas españolas. En total se generaron 10 series mensuales de escorrentía directa y 50 series de escorrentía anual basadas en el índice de aridez (cada fórmula climática aplicada a las 10 simulaciones de los MRC). Los resultados muestran que la fórmula de Schreiber produce la mejor aproximación a los valores observados y por tanto minimiza el sesgo predominante en la variable escorrentía. Adicionalmente, estos resultados se validan con las capas de escorrentía media anual de alta resolución proporcionada por la UNH/GRDC (University of New Hampshire/Global Runoff Data Centre) que preservan la exactitud de las medidas de las aportaciones observadas en las principales estaciones hidrológicas de todo el mundo, y que en la actualidad es el “mejor estimador” de la escorrentía terrestre sobre grandes extensiones. En este caso, los resultados muestran también que la fórmula de Schreiber estima mejor los valores de escorrentía anual que la escorrentía directa simulada por MRC

Improving runoff estimates from regional climate models: a performance analysis in Spain

An important step to assess water availability is to have monthly time series representative of the current situation. In this context, a simple methodology is presented for application in large-scale studies in regions where a properly calibrated hydrologic model is not available, using the output variables simulated by regional climate models (RCMs) of the European project PRUDENCE under current climate conditions (period 1961–1990). The methodology compares different interpolation methods and alternatives to generate annual times series that minimise the bias with respect to observed values. The objective is to identify the best alternative to obtain bias-corrected, monthly runoff time series from the output of RCM simulations. This study uses information from 338 basins in Spain that cover the entire mainland territory and whose observed values of natural runoff have been estimated by the distributed hydrological model SIMPA. Four interpolation methods for downscaling runoff to the basin scale from 10 RCMs are compared with emphasis on the ability of each method to reproduce the observed behaviour of this variable. The alternatives consider the use of the direct runoff of the RCMs and the mean annual runoff calculated using five functional forms of the aridity index, defined as the ratio between potential evapotranspiration and precipitation. In addition, the comparison with respect to the global runoff reference of the UNH/GRDC dataset is evaluated, as a contrast of the “best estimator” of current runoff on a large scale. Results show that the bias is minimised using the direct original interpolation method and the best alternative for bias correction of the monthly direct runoff time series of RCMs is the UNH/GRDC dataset, although the formula proposed by Schreiber (1904) also gives good result

Heterogeneous vancomycin-intermediate susceptibility in a community-associated methicillin-resistant Staphylococcus aureus epidemic clone, in a case of Infective Endocarditis in Argentina

BACKGROUND: Community-Associated Methicillin Resistant Staphylococcus aureus (CA-MRSA) has traditionally been related to skin and soft tissue infections in healthy young patients. However, it has now emerged as responsible for severe infections worldwide, for which vancomycin is one of the mainstays of treatment. Infective endocarditis (IE) due to CA-MRSA with heterogeneous vancomycin-intermediate susceptibility-(h-VISA) has been recently reported, associated to an epidemic USA 300 CA-MRSA clone. CASE PRESENTATION: We describe the occurrence of h-VISA phenotype in a case of IE caused by a strain belonging to an epidemic CA-MRSA clone, distinct from USA300, for the first time in Argentina. The isolate h-VISA (SaB2) was recovered from a patient with persistent bacteraemia after a 7-day therapy with vancomycin, which evolved to fatal case of IE complicated with brain abscesses. The initial isolate-(SaB1) was fully vancomycin susceptible (VSSA). Although MRSA SaB2 was vancomycin susceptible (≤ 2 μg/ml) by MIC (agar and broth dilution, E-test and VITEK 2), a slight increase of MIC values between SaB1 and SaB2 isolates was detected by the four MIC methods, particularly for teicoplanin. Moreover, Sab2 was classified as h-VISA by three different screening methods [MHA5T-screening agar, Macromethod-E-test-(MET) and by GRD E-test] and confirmed by population analysis profile-(PAP). In addition, a significant increase in cell-wall thickness was revealed for SaB2 by electron microscopy. Molecular typing showed that both strains, SaB1 and SaB2, belonged to ST5 lineage, carried SCCmecIV, lacked Panton-Valentine leukocidin-(PVL) genes and had indistinguishable PFGE patterns (subtype I2), thereby confirming their isogenic nature. In addition, they were clonally related to the epidemic CA-MRSA clone (pulsotype I) detected in our country. CONCLUSIONS: This report demonstrates the ability of this epidemic CA-MRSA clone, disseminated in some regions of Argentina, to produce severe and rapidly fatal infections such as IE, in addition to its ability to acquire low-level vancomycin resistance; for these reasons, it constitutes a new challenge for the Healthcare System of this country.This study was supported by the National Council for Scientific Research and Technology of Argentina (CONICET), Agencia Nacional de Promoción Científica y Tecnológica (ANPCyT - PICT 01630 to JLB), Secretaría de Ciencia y Técnica-Universidad Nacional de Córdoba (SECyT-UNC) and Agencia Córdoba Ciencia.S

Frequency of hereditary transthyretin amyloidosis among elderly patients with transthyretin cardiomyopathy

Transthyretin amyloid cardiomyopathy (ATTR-CM) is increasingly recognized as a cause of heart failure in the elderly. Although wild-type transthyretin amyloidosis is the most frequent form of ATTR-CM found in the elderly, hereditary transthyretin amyloidosis (ATTRv) can also occur. We sought to determine the prevalence of ATTRv among elderly ATTR-CM patients, identify predictors of ATTRv and evaluate the clinical consequences of positive genetic testing in this population. Prevalence of ATTRv in elderly ATTR-CM patients (≥70 years) was assessed in a cohort of 300 consecutive ATTR-CM patients (median age 78 years at diagnosis, 82% ≥70 years, 16% female, 99% Caucasian). ATTRv was diagnosed in 35 (12%; 95% confidence interval [CI] 3.1–8.8) and 13 (5.3%; 95% CI 5.6–26.7) patients in the overall cohort and in those ≥70 years, respectively. Prevalence of ATTRv among elderly female patients with ATTR-CM was 13% (95% CI 2.1–23.5). Univariate analysis identified female sex (odds ratio [OR] 3.66; 95% CI 1.13–11.85; p = 0.03), black ancestry (OR 46.31; 95% CI 3.52–Inf; p = 0.005), eye symptoms (OR 6.64; 95% CI 1.20–36.73; p = 0.03) and polyneuropathy (OR 10.05; 95% CI 3.09–32.64; p<0.001) as the only factors associated with ATTRv in this population. Diagnosis of ATTRv in elderly ATTR-CM patients allowed initiation of transthyretin-specific drug treatment in 5 individuals, genetic screening in 33 relatives from 13 families, and identification of 9 ATTRv asymptomatic carriers. Hereditary transthyretin amyloidosis is present in a substantial number of ATTR-CM patients aged ≥70 years. Identification of ATTRv in elderly patients with ATTR-CM has clinical meaningful therapeutic and diagnostic implications. These results support routine genetic testing in patients with ATTR-CM regardless of ageThis study has been funded by Instituto de Salud Carlos III (ISCIII) through the projects ‘PI18/0765 & PI20/01379’ (co-funded by European Regional Development Fund/European Social Fund ‘A way to make Europe’/‘Investing in your future’). AMB receives grant support by ISCIII (CM20/002209). The CNIC is supported by the ISCIII, MCIN, the Pro-CNIC Foundation, and the Severo Ochoa grant (CEX2020-001041-S

Estudios sobre anuros de Argentina durante la década 2010-2020: tendencias y vacíos de información

Scientific knowledge may present taxonomic, geographic and thematic biases, which could have negative consequences on conservation decisions, especially in highly threatened groups such as amphibians. This work aimed to explore the scientific production of anurans from Argentina during the 2010-2020 decade, to understand the current state of knowledge and identify possible biases and information gaps. Our results showed that the production of scientific knowledge on anurans from Argentina remained constant during the studied period. Nonetheless, we observed taxonomic, geographic and topic biases. The number of studies was higher in areas with higher human population density and on topics related to morphology, as well as for common species with medium body sizes, general habits, with a broad geographic distribution, and occurring in rural-urban areas. Our results represent a baseline to clarify and evidence the different biases of scientific knowledge about anurans from Argentina.La producción del conocimiento científico puede presentar sesgos taxonómicos, geográficos y temáticos, los que a su vez podrían tener consecuencias negativas al momento de tomar decisiones en conservación, sobre todo en grupos altamente amenazados como son los anfibios. El objetivo de este trabajo fue explorar la producción científica sobre anuros de Argentina durante la década 2010-2020, a fin de establecer el estado actual del conocimiento e identificar posibles sesgos y vacíos de información. Nuestros resultados sugieren que la producción del conocimiento científico en anuros de Argentina se mantuvo constante en el período estudiado. Se observaron sesgos en cuanto a la distribución geográfica de las publicaciones, en las especies más estudiadas y en los temas abordados. El número de estudios fue mayor en provincias con una densidad de su población más alta y en temas relacionados con morfología, así como para especies comunes con tamaños corporales medianos, de hábitos generalistas, con una amplia distribución geográfica, y con ocurrencia en zonas rurales-urbanas. Estos resultados constituyen un punto de partida para esclarecer y evidenciar los diferentes sesgos del conocimiento científico sobre anuros de Argentina.Asociación Herpetológica Argentin