Patterns in temporal series of meteorological variables using SOM & TDIDT

The purpose of the present article is to investigate if there exist any such set of temporal stable patterns in temporal series of meteorological variables studying series of air temperature, wind speed and direction an atmospheric pressure in a period with meteorological conditions involving nocturnal inversion of air temperature in Allen, Río Negro, Argentina. Our conjecture is that there exist independent stable temporal activities, the mixture of which give rise to the weather variables; and these stable activities could be extracted by Self Organized Maps plus Top Down Induction Decision Trees analysis of the data arising from the weather patterns, viewing them as temporal signals.IFIP International Conference on Artificial Intelligence in Theory and Practice - Industrial Applications of AIRed de Universidades con Carreras en Informática (RedUNCI

Análisis del viento en el valle del río Negro mediante mapas auto organizados y algoritmos de inducción

El presente trabajo incluye el análisis de series temporales de dirección e intensidad de viento en la estación Allen en Río Negro obtenidas durante el desarrollo del Proyecto MECIN, utilizando procedimientos de redes neuronales a partir de la integración de mapas auto organizados y algoritmos de inducción. Se efectuó el análisis de reglas de comportamiento. Se detectaron 7 grupos, y 38 reglas, de las que se seleccionaron 9 que cumplían simultáneamente con las siguientes consideraciones: eran soportadas por más de 25 datos y nivel de confianza superior a 0.84. Esto incluyó el 79% del total de los datos. Los grupos separaron patrones asociables al comportamiento esperable según análisis previos realizados a las series utilizando métodos tradicionales. La inclusión de un número más grande de variables como tiempo y fecha produjo un número mucho mayor de reglas, sin definir intervalos precisos, con pautas confusas y separando tanto pautas obvias como útiles.The present work includes the analysis of time series of wind speed and wind direction in Allen automatic weather station in Negro River valley, obtained during the Mecin Project, using neuronal networks procedures. The behavior rules were obtained from the analysis of self organized maps and algorithms of induction. The methodology detected 7 groups, and 38 rules, of which, 9 rules were selected because they simultaneously follow: inclusion of more than 25 data and its confidence level was above 0.84. This facts included the 79% of the total data. The behavior of separated clusters matches prior analysis carried out using traditional methods. The inclusion of a larger number of variables as time and date produced a greater number of rules, without clear defining intervals, with confused guidelines and separating so much obvious patterns like useful ones.Asociación Argentina de Energías Renovables y Medio Ambiente (ASADES

Análisis del viento en el valle del río Negro mediante mapas auto organizados y algoritmos de inducción

El presente trabajo incluye el análisis de series temporales de dirección e intensidad de viento en la estación Allen en Río Negro obtenidas durante el desarrollo del Proyecto MECIN, utilizando procedimientos de redes neuronales a partir de la integración de mapas auto organizados y algoritmos de inducción. Se efectuó el análisis de reglas de comportamiento. Se detectaron 7 grupos, y 38 reglas, de las que se seleccionaron 9 que cumplían simultáneamente con las siguientes consideraciones: eran soportadas por más de 25 datos y nivel de confianza superior a 0.84. Esto incluyó el 79% del total de los datos. Los grupos separaron patrones asociables al comportamiento esperable según análisis previos realizados a las series utilizando métodos tradicionales. La inclusión de un número más grande de variables como tiempo y fecha produjo un número mucho mayor de reglas, sin definir intervalos precisos, con pautas confusas y separando tanto pautas obvias como útiles.The present work includes the analysis of time series of wind speed and wind direction in Allen automatic weather station in Negro River valley, obtained during the Mecin Project, using neuronal networks procedures. The behavior rules were obtained from the analysis of self organized maps and algorithms of induction. The methodology detected 7 groups, and 38 rules, of which, 9 rules were selected because they simultaneously follow: inclusion of more than 25 data and its confidence level was above 0.84. This facts included the 79% of the total data. The behavior of separated clusters matches prior analysis carried out using traditional methods. The inclusion of a larger number of variables as time and date produced a greater number of rules, without clear defining intervals, with confused guidelines and separating so much obvious patterns like useful ones.Asociación Argentina de Energías Renovables y Medio Ambiente (ASADES

Análisis del viento en el valle del río Negro mediante mapas auto organizados y algoritmos de inducción

El presente trabajo incluye el análisis de series temporales de dirección e intensidad de viento en la estación Allen en Río Negro obtenidas durante el desarrollo del Proyecto MECIN, utilizando procedimientos de redes neuronales a partir de la integración de mapas auto organizados y algoritmos de inducción. Se efectuó el análisis de reglas de comportamiento. Se detectaron 7 grupos, y 38 reglas, de las que se seleccionaron 9 que cumplían simultáneamente con las siguientes consideraciones: eran soportadas por más de 25 datos y nivel de confianza superior a 0.84. Esto incluyó el 79% del total de los datos. Los grupos separaron patrones asociables al comportamiento esperable según análisis previos realizados a las series utilizando métodos tradicionales. La inclusión de un número más grande de variables como tiempo y fecha produjo un número mucho mayor de reglas, sin definir intervalos precisos, con pautas confusas y separando tanto pautas obvias como útiles.The present work includes the analysis of time series of wind speed and wind direction in Allen automatic weather station in Negro River valley, obtained during the Mecin Project, using neuronal networks procedures. The behavior rules were obtained from the analysis of self organized maps and algorithms of induction. The methodology detected 7 groups, and 38 rules, of which, 9 rules were selected because they simultaneously follow: inclusion of more than 25 data and its confidence level was above 0.84. This facts included the 79% of the total data. The behavior of separated clusters matches prior analysis carried out using traditional methods. The inclusion of a larger number of variables as time and date produced a greater number of rules, without clear defining intervals, with confused guidelines and separating so much obvious patterns like useful ones.Asociación Argentina de Energías Renovables y Medio Ambiente (ASADES

Asymptomatic and symptomatic deep venous thrombosis in hospitalized acutely ill medical patients: risk factors and therapeutic implications

Background Acutely ill medical patients experience deep venous thrombosis (DVT) during the hospitalization, however the time course of DVT is still unclear. Objectives To evaluate risk factors in acutely ill hospitalized medical patients for proximal asymptomatic DVT (ADVT) and symptomatic DVT (SDVT) at admission and discharge. Patients/Methods In this prospective observational study, consecutive acutely ill medical patients (hospitalized mainly for acute medical disease as infections, neoplasm, anemia, heart failure) underwent compression ultrasonography (CUS) of proximal lower limb veins within 48 h from admission and at discharge to diagnose ADVT and SDVT. Covid-19 patients, anticoagulant therapy, surgical procedures, acute SDVT, and acute pulmonary embolism, were exclusion criteria. Biographical characteristics at hospitalization, D-Dimer (assessed by ELISA)) and DD-improve score. Results Of 2,100 patients (1002 females, 998 males, age 71 +/- 16 years) 58 (2.7%) had proximal ADVT at admission. Logistic regression analysis showed that age, and active cancer were independently associated with ADVT at admission. The median length of hospitalization was 10 days [interquartile range: 6-15]. During the hospital stay, 6 patients (0.3%) with a negative CUS at admission experienced DVT (2 SDVT and 4 ADVT). In the subgroup of patients (n = 1118), in whom D-dimer was measured at admission, D-Dimer and IMPROVE-DD score were associated with ADVT at admission (n = 37) and with all DVT (n = 42) at discharge. ROC curve defined an IMPROVE-DD score of 2.5 as the optimal cut-off for discriminating patients with and without thrombotic events. Conclusions We provide evidence of early development of ADVT in unselected acutely ill medical patients suggesting the need of investigating patients by CUS immediately after hospital admission (within 48 h). Advanced age, active cancer, known thrombophilia and increased IMPROVE-DD score may identify patients at risk. The benefit of anticoagulation needs to be investigated in patients with these specific risk factors and negative CUS at admission

How Trophic Conditions Affect Development of Fire Salamander (Salamandra salamandra) Larvae: Two Extreme Cases

Reduced trophic resources can pose relevant constraints to the development of freshwater animals with complex life cycles. For amphibians, food deprived environments, such as high-altitude ponds and springs and groundwaters are frequently used for breeding. The aim of this study is to outline trophic conditions leading to extreme cases of delayed larval development and increased size at metamorphosis of a European widespread amphibian, the fire salamander (Salamandra salamandra). We collected 150 fire salamander larvae, split them in two groups, one with high and one with low trophic resource availability. We then observed the effects of nutritional conditions on larval development recording time to metamorphosis and average day growth. Moreover, in the field, we surveyed larvae growth and size at metamorphosis in two artificial subterranean sites with low prey availability. Trophic conditions strongly affected larval development and under low food treatment time to metamorphosis reached up to 416 days. In the subterranean environments we observed a similar pattern, with larvae requiring more than one year to attain metamorphosis but reaching unexpected large sizes. Environmental trophic conditions experienced during early stages can induce strong delay in metamorphosis of the fire salamander; this plasticity makes fire salamander larvae optimal models for comparative studies and cross-environment experiments

How Trophic Conditions Affect Development of Fire Salamander (<i>Salamandra salamandra</i>) Larvae: Two Extreme Cases

Reduced trophic resources can pose relevant constraints to the development of freshwater animals with complex life cycles. For amphibians, food deprived environments, such as high-altitude ponds and springs and groundwaters are frequently used for breeding. The aim of this study is to outline trophic conditions leading to extreme cases of delayed larval development and increased size at metamorphosis of a European widespread amphibian, the fire salamander (Salamandra salamandra). We collected 150 fire salamander larvae, split them in two groups, one with high and one with low trophic resource availability. We then observed the effects of nutritional conditions on larval development recording time to metamorphosis and average day growth. Moreover, in the field, we surveyed larvae growth and size at metamorphosis in two artificial subterranean sites with low prey availability. Trophic conditions strongly affected larval development and under low food treatment time to metamorphosis reached up to 416 days. In the subterranean environments we observed a similar pattern, with larvae requiring more than one year to attain metamorphosis but reaching unexpected large sizes. Environmental trophic conditions experienced during early stages can induce strong delay in metamorphosis of the fire salamander; this plasticity makes fire salamander larvae optimal models for comparative studies and cross-environment experiments

Decellularized Cryopreserved Allografts as Off-the-Shelf Allogeneic Alternative for Heart Valve Replacement: In Vitro Assessment Before Clinical Translation

none6noopenIop, Laura; Paolin, Adolfo; Aguiari, Paola; Trojan, Diletta; Cogliati, Elisa; Gerosa, GinoIop, Laura; Paolin, Adolfo; Aguiari, Paola; Trojan, Diletta; Cogliati, Elisa; Gerosa, Gin

Prevalence of Inherited Thrombophilia in Patients With Documented Stent Thrombosis

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