BUSCADOR RECOLECTA

Dataset, This initial database was developed in a study of 403 patients who underwent major pulmonary resections in the Salamanca University Hospital from 1994 to 2016. We have taken patients with known survival status and a surgical procedure other than pneumonectomy. The variables used in our study are: (1) Age of patient; (2) Body mass index (abbr. BMI, expressed in kg/m^2); (3) Existence of chronic obstructive pulmonary disease (abbr. COPD); (4) Forced vital capacity calculated percentage (abbr. FEV1%); (5) Approach of the surgery (thoracotomy or video-assisted thoracoscopic surgery, VATS); and (6) Presence of complications in the surgery. The variable of mortality allows us to establish the survival of the patient. Age is obtained from the date of birth and the date of surgery. Body mass index is calculated based on the weight and size of the patient., The variables used in our study are: (1) Age of patient; (2) Body mass index (abbr. BMI, expressed in kg/m^2); (3) Existence of chronic obstructive pulmonary disease (abbr. COPD); (4) Forced vital capacity calculated percentage (abbr. FEV1%); (5) Approach of the surgery (thoracotomy or video-assisted thoracoscopic surgery, VATS); (6) Presence of complications in the surgery.

[EN]This database was compiled for use in a study on tax incidence. The research was carried out using the Web of Science (WoS) and Scopus databases and considers the period 1980-2020. This set would initially include articles that described or evaluated the tax incidence in any area, for which areas that are not eligible for the sample have been excluded from the analysis: Engineering, Arts and Humanities, History and Life Sciences., The information used in our study is: (1) Citation information; (2) Bibliographic information; (3) Abstract and keywords; (4) Financing details; (5) Other information.

[EN]The dataset includes seven Supplementary Figure Legends about the exchange factor Rgf1p is involved in the repair of DNA double-strand breaks induced by Phl treatment. In S. pombe, the DNA damage checkpoint is activated by Rad3p (ATR homolog), which in turn activates its downstream protein kinase, Chk1p (67). The rgf1Δ cells are sensitive to CPT and highly sensitive to Phl, both drugs trigger a strong checkpoint response., CICYT, Spain [BFU2011-24683/BMC]; Junta de Castilla y León [SA073U14]. Funding for open access charge: MINECO.

[EN] Nitroso-compounds are potentially mutagenic and carcinogenic compounds due to their ability to alkylate DNA bases. One of the most common sources of human exposure to nitroso-compounds is their formation in the acidic environment of the stomach by the reaction between electron-rich molecules present in the lumen and sodium nitrite ingested in the diet. To date, the formation of nitroso-compounds by the reaction of nitrite with food components has been investigated in depth, but little attention has been paid to substances secreted in the stomach, such as dopamine or serotonin, whose reaction products with nitrite have proven mutagenic properties. In this article we present a kinetic study with UV-visible spectroscopy of the nitrosation reactions of both molecules, as well as of L-tyrosine, the amino-acid precursor of dopamine. As a result, we have determined their reaction mechanisms, which show that in all of them the favoured reaction product is a stable nitroso-compound and that the molecule whose product is the most mutagenic, serotonin, undergoes two consecutive nitrosation reactions. These findings suggest that more research is needed to understand how this reaction alters the function of these neurotransmitters as well as the potential toxic effects they may have once nitrosated., a) Ministerio de Economía y Competitividad and the European Regional Development Fund. b) Universidad de Salamanca. M.G.J. had got a PhD. grant of the Ministerio de Economía y Competitividad J.A.V. had got a PhD. grant of the Junta de Castilla y León for a PhD. grant., Carpeta 1. Tirosine: 1. Extinction coefficient , 2. Extinction coefficient nitrosotirosine, 3. Reaction orders, 4. Influence Ionic ,Strength, 5. Influence Temperature, 6. Influence pH, 7. KIE. Carpeta 2. Dopamine: 1. Extinction coefficient, 2. Selfoxidation dopamine, 3. Extinction coefficient nitrosodopamine, 4. Catalysis by chloride ions, 5. Reaction orders, 6. Influence Ionic Strength, 7. Influence Temperature, 8. KIE. Carpeta 3. Serotonin: 1. Extinction coefficient, 2. Extinction coefficient nitrosated serotonin, 3. Influence Ionic Strength, 4. Reaction orders, 5. Influence pH, 6. Influence Temperature, 7. KIE

El uso de sustancias ergogénicas en la práctica de deportes de resistencia es una práctica ampliamente extendida. Los complementos alimenticios derivados de la remolacha se contemplan como ayuda ergogénica en este tipo de actividad deportiva, por su alto contenido en nitratos. Los nitratos se metabolizan en óxido nítrico, que actúa sobre el nucleótido guanosin monofosfato y mejora el rendimiento deportivo aumentando la vasodilatación y favoreciendo la contracción muscular. El objetivo de esta revisión bibliográfica es revisar la evidencia científica en cuanto al efecto ergogénico de los complementos alimenticios derivados de la remolacha sobre e rendimiento en deportes de resistencia, además de concretar sobre qué parámetros fisiológicos específicos se presentan mayores mejoras y a través de qué dosis aplicada se observan estas mejoras. Se realizó una búsqueda a través de palabras clave en las bases de datos electrónicas PubMed, Google Scholar, Scielo, y CINAHL de los ensayos clínicos publicados entre 2012 y 2022, de la que se seleccionaron finalmente 7 artículos. Los resultados obtenidos no permitieron la extracción de evidencias con la suficiente potencia estadística como para la realización de conclusiones concretas. Siendo la única correlación posible la mejora de resultados en esfuerzos de fuerza resistencia cuando se consumió zumo de remolacha en una dosis única entre dos y tres horas antes del esfuerzo. Son necesarios futuros estudios que puedan confirmar esta posible correlación., The use of ergogenic substances in the practice of endurance sports is a very common practice. Beet-derived food supplements are considered an ergogenic aid in this type of sports activity, due to their high nitrate content. Nitrates are metabolized into nitric oxide, which acts on the nucleotide guanosine monophosphate and improves sports performance by increasing vasodilation and favoring muscle contraction. The objective of this bibliographic review is to review the scientific evidence regarding the ergogenic effect of food supplements derived from beetroot on performance in endurance sports, in addition to specify which physiological parameters show greater improvements specifically and through which dose applied these improvements are observed. A key search was performed in the electronic databases PubMed, Google Scholar, Scielo, and CINAHL of clinical trials published between 2012 and 2022, from which 7 articles were finally selected. The results obtained did not allow the extraction of evidence with sufficient statistical power to draw specific conclusions. The only possible connection being the improvement of results in resistance strength efforts when beet juice was consumed in a single dose between two and three hours before the effort. Future studies are needed to confirm this possible connection., L'ús de substàncies ergogèniques en la pràctica d'esports de resistència és una pràctica àmpliament estesa. Els complements alimentosos derivats de la remolatxa es contemplen com a ajuda ergogènica en aquesta mena d'activitat esportiva, pel seu alt contingut en nitrats. Els nitrats es metabolizan en òxid nítric, que actua sobre el nucleòtid guanosin monofosfato i millora el rendiment esportiu augmentant la vasodilatació i afavorint la contracció muscular. L'objectiu d'aquesta revisió bibliogràfica és revisar l'evidència científica quant a l'efecte ergogènic dels complements alimentosos derivats de la remolatxa sobre e rendiment en esports de resistència, a més de concretar sobre quins paràmetres fisiològics específics es presenten majors millores i a través de quina dosi aplicada s'observen aquestes millores. Es va realitzar una cerca a través de paraules clau en les bases de dades electròniques PubMed, Google Scholar, Scielo, i CINAHL dels assajos clínics publicats entre 2012 i 2022, de la qual es van seleccionar finalment 7 articles. Els resultats obtinguts no van permetre l'extracció d'evidències amb la suficient potència estadística com per a la realització de conclusions concretes. Sent l'única correlació possible la millora de resultats en esforços de força resistència quan es va consumir suc de remolatxa en una dosi única entre dues i tres hores abans de l'esforç. Són necessaris futurs estudis que puguin confirmar aquesta possible correlació.

SeriesInformation: This dataset records translations and reviews of foreign works published in Spanish or Latin American modernist journals (understanding 'modernist' in the anglophone sense). Thus, it currently includes all translations or reviews from the following journals: La Revista (Barcelona) from 1915 to 1936; the second period of Proa (Buenos Aires) from 1924 to 1926, and Sur (Buenos Aires) from 1931 to 1939. The dataset will be expanded to include more Iberoamerican journals in the future.

L'objectiu d'aquest treball es analitzar les dades històriques dels incendis forestals a Catalunya. S'utilitzen diversos conjunt de dades d'incendis, meteorològiques, orogràfiques i de vegetació, amb els quals es pretén obtenir les variables determinants dels incendis. A partir d'aquest anàlisis i mitjançant tècniques d'aprenentatge automàtic es pretén construir una xarxa neuronal que predigui el risc d'incendis forestals, per a un dia determinat. Amb aquests model entrenat sobre les dades històriques, s’han generat mapes de risc d’incendi per a 4 dies diferents. A més, s'utilitzaran eines de teledetecció per obtenir les àrees cremades en els 2 grans incendis forestals del 2022 i quantificar el carboni emès i la biomassa perduda., The aim of this work is to analyze historical data on forest fires in Catalonia. Various sets of fire, meteorological, orographic and vegetation data are used, with which it is intended to obtain the determining variables of the fires. Based on this analysis and using machine learning techniques, the aim is to build a neural network that predicts the risk of forest fires, for a given day.With this model trained on the historical data, fire risk maps were generated for 4 different days. In addition, remote sensing tools will be used to obtain the areas burned in the 2 major wildfires of 2022 and quantify the carbon emitted and biomass lost., El objetivo de este trabajo se analizar los datos históricos de los incendios forestales en Cataluña. Se utilizan varios conjunto de datos de incendios, meteorológicas, orográficas y de vegetación, con los cuales se pretende obtener las variables determinantes de los incendios. A partir de este análisis y mediante técnicas de aprendizaje automático se pretende construir una red neuronal que prediga el riesgo de incendios forestales, para un día determinado. Con estos modelo entrenado sobre los datos históricos, se han generado mapas de riesgo de incendio para 4 días diferentes. Además, se utilizarán herramientas de teledetección para obtener las áreas quemadas en los 2 grandes incendios forestales del 2022 y cuantificar el carbono emitido y la biomasa perdida.