38 research outputs found

    A consensus statement for trauma surgery capacity building in Latin America

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    Background Trauma is a significant public health problem in Latin America (LA), contributing to substantial death and disability in the region. Several LA countries have implemented trauma registries and injury surveillance systems. However, the region lacks an integrated trauma system. The consensus conference’s goal was to integrate existing LA trauma data collection efforts into a regional trauma program and encourage the use of the data to inform health policy. Methods We created a consensus group of 25 experts in trauma and emergency care with previous data collection and injury surveillance experience in the LA. region. Experts participated in a consensus conference to discuss the state of trauma data collection in LA. We utilized the Delphi method to build consensus around strategic steps for trauma data management in the region. Consensus was defined as the agreement of ≄ 70% among the expert panel. Results The consensus conference determined that action was necessary from academic bodies, scientific societies, and ministries of health to encourage a culture of collection and use of health data in trauma. The panel developed a set of recommendations for these groups to encourage the development and use of robust trauma information systems in LA. Consensus was achieved in one Delphi round. Conclusions The expert group successfully reached a consensus on recommendations to key stakeholders in trauma information systems in LA. These recommendations may be used to encourage capacity building in trauma research and trauma health policy in the region

    AICLE y pensamiento crítico a través de la literatura: actividades con poemas sobre la dictadura militar argentina

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    Content and Language Integrated Learning (CLIL) is a relatively novel approach to L2 learning. Designed under this approach, this paper proposes a set of three activities that seek to foster secondary level students’ critical thinking, creativity, and intrapersonal skills. English language learning is integrated with the specific subjects of Literature, by analyzing and creating ­poetry, and History, discussing poems by Marcelo Gelman, Osvaldo Balbi, and JoaquĂ­n Enrique Areta, who were victims of the final Argentina’s military dictatorship (1976–1983).El Aprendizaje Integrado de Contenidos y Lenguas Extranjeras (AICLE) es un enfoque relativamente novedoso para el aprendizaje de L2. Diseñado bajo este enfoque, este artĂ­culo propone un conjunto de tres actividades que buscan fomentar el pensamiento crĂ­tico, la creatividad y las habilidades intrapersonales de estudiantes de nivel secundario. El aprendizaje del idioma inglĂ©s se integra con las materias especĂ­ficas de Literatura, analizando y creando poesĂ­a, asĂ­ como de Historia, discutiendo poemas de diferentes autores vĂ­ctimas de la Ășltima dictadura militar ­argentina (1976–1983)

    AICLE y pensamiento crítico a través de la literatura: actividades con poemas sobre la dictadura militar argentina

    No full text
    Content and Language Integrated Learning (CLIL) is a relatively novel approach to L2 learning. Designed under this approach, this paper proposes a set of three activities that seek to foster secondary level students’ critical thinking, creativity, and intrapersonal skills. English language learning is integrated with the specific subjects of Literature, by analyzing and creating ­poetry, and History, discussing poems by Marcelo Gelman, Osvaldo Balbi, and JoaquĂ­n Enrique Areta, who were victims of the final Argentina’s military dictatorship (1976–1983).El Aprendizaje Integrado de Contenidos y Lenguas Extranjeras (AICLE) es un enfoque relativamente novedoso para el aprendizaje de L2. Diseñado bajo este enfoque, este artĂ­culo propone un conjunto de tres actividades que buscan fomentar el pensamiento crĂ­tico, la creatividad y las habilidades intrapersonales de estudiantes de nivel secundario. El aprendizaje del idioma inglĂ©s se integra con las materias especĂ­ficas de Literatura, analizando y creando poesĂ­a, asĂ­ como de Historia, discutiendo poemas de diferentes autores vĂ­ctimas de la Ășltima dictadura militar ­argentina (1976–1983)

    Effect of Delayed Refrigeration on the Microbial Carcass Contamination of Wild Boars (Sus scrofa)

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    The immediate refrigeration of meat after slaughter is a key issue for the proper storage and aging of meat. The industry standard cold chain relies on low temperatures and ventilation to lower the internal carcass temperature to 0–4 °C within the first 48 h, i.e., within four times the so-called semi-cooling time. On the other hand, for games, once bled and eviscerated, the carcass must be sent to a point where it can be sectioned or kept on air for maturation at refrigeration temperature. The precautions to observe are few and simple but essential: protect the meat and start the cooling process quickly. After preparing the animal (bleeding and evisceration), it may be necessary to face a period of transport that is sometimes long and not very easy; while small animals can be easily transported in a backpack, larger ones must necessarily be carried by several people or sometimes dragged to the vehicle capable of transporting them. It is obvious that a wild boar opened from the jaws to the pelvis and dragged for hundreds of meters will tend to be contaminated, although these contaminations are to be considered secondary for the preservation of the meat, compared to contamination by the intestinal contents. In an attempt to investigate the effect of delayed refrigeration on wild boar carcass contamination, the aim of this work was to determine a correlation between several hunting and logistic parameters (age, sex, animal weight, shooting distance, number of shots, weather and temperature and time from shot to refrigeration and to analysis) and bacterial contamination of the carcass. The correlation coefficient, r, was found to be 0.038 for the eviscerated body weight (p < 0.05), 0.091 for the external temperature on the day of hunting (p < 0.05), 0.027 for the time from shot to refrigeration (p = 0.081), 0.038 for the time from refrigeration to analysis (p < 0.05) and 0.043 for the time from shot to analysis (p < 0.05). These results stand for a negative correlation between the bacterial population and eviscerated carcass weight and between the bacterial population and external temperature and for a positive correlation between the time from shot to analysis and from refrigeration to analysis. No association was demonstrated between the bacterial population and the time from shot to refrigeration

    La pandemia en/desde Jujuy: reflexiones situadas

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    Acaso no podrĂ­ amos afirmar que la pandemia llego a nuestra sociedad mundial causando un pandemo - nium?. En cierto modo, ma s alla del juego de palabras, gran parte de nosotros lo sentimos asĂ­ . Es claro, una pandemia, es una enfermedad que afecta a la sociedad. Perturba intensamente la cotidianeidad, las ocupaciones, y, en general, lo que en estos dĂ­ as an oramos como la “vida normal” de todos. Si contraemos una enfermedad ma s o menos aguda, todas nuestras actividades se ven afectadas, se desordenan. Cuando ello ocurre, pra cticamente debemos concentrarnos, casi con exclusividad, en superar la afeccio n con la ayuda de profesionales de la salud, cualquiera sea el abordaje disciplinario que nos resulte ma s adecuado y confiable. AsĂ­ , del mismo modo, la pandemia afecta a toda la comunidad, a todas sus actividades. Y, en este caso tambie n la principal preocupacio n es superar la afeccio n. Entonces hay que buscar alternativas para el resto de las tareas, que deben transcurrir entre los estrechos ma rgenes que nos permiten tanto el cuidado personal como el social, ambos imprescindibles.Fil: Aramayo, AnahĂ­. Universidad Nacional de Jujuy; ArgentinaFil: Lopez, Andrea Noelia. Universidad Nacional de Jujuy; ArgentinaFil: DĂ­az, Rodrigo Fernando. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - Salta. Unidad Ejecutora en Ciencias Sociales Regionales y Humanidades. Universidad Nacional de Jujuy. Unidad Ejecutora en Ciencias Sociales Regionales y Humanidades; ArgentinaFil: Astorga, Farid Diego. Universidad Nacional de Jujuy; Argentina. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas; ArgentinaFil: Assad, Lucas Gabriel. Universidad Nacional de Jujuy; ArgentinaFil: Hoyos, Gustavo Daniel. Universidad Nacional de Jujuy; ArgentinaFil: Balut, Jorgelina. No especifĂ­ca;Fil: Angulo VillĂĄn, Florencia Raquel. No especifĂ­ca;Fil: Brailovsky, Sofia Miriam. No especifĂ­ca;Fil: Carrizo, MarĂ­a JosĂ©. No especifĂ­ca;Fil: Bustamante, Patricia. No especifĂ­ca;Fil: Jaled, Daniela Alejandra. No especifĂ­ca;Fil: Castillo, Silvina Ana Lia. No especifĂ­ca;Fil: DĂ­az, Enrique Antonio. No especifĂ­ca;Fil: Cieza, Fernanda. Universidad Nacional de Jujuy. Facultad de Humanidades y Ciencias Sociales; ArgentinaFil: Cuva, Cecilia Alejandra. Universidad Nacional de Jujuy. Facultad de Humanidades y Ciencias Sociales; ArgentinaFil: Rivas, Rosana VerĂłnica. Universidad Nacional de Jujuy. Facultad de Humanidades y Ciencias Sociales; ArgentinaFil: Altea, Laura. Universidad Nacional de Jujuy. Facultad de Humanidades y Ciencias Sociales; ArgentinaFil: Garzon, Analia Soledad. Universidad Nacional de Jujuy. Facultad de Humanidades y Ciencias Sociales; Argentina. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas; ArgentinaFil: Mamani, Claudia. Universidad Nacional de Jujuy. Facultad de Humanidades y Ciencias Sociales; ArgentinaFil: Villarroel, Viviana Mabel. Universidad Nacional de Jujuy. Facultad de Humanidades y Ciencias Sociales; ArgentinaFil: Costas Frison, Celeste. No especifĂ­ca;Fil: Montenegro, Erica Maricel. No especifĂ­ca;Fil: GuzmĂĄn, Vilma Roxana. No especifĂ­ca;Fil: Donaire, Claudia. No especifĂ­ca;Fil: Herrera, Ana Soledad. No especifĂ­ca;Fil: Cardozo, Juana Griselda. No especifĂ­ca;Fil: Nieva, Nuria Noelia. No especifĂ­ca;Fil: Miranda , Ana LĂ­a. Universidad Nacional de Jujuy; ArgentinaFil: Patagua, Patricia Evangelina. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - Salta. Unidad Ejecutora en Ciencias Sociales Regionales y Humanidades. Universidad Nacional de Jujuy. Unidad Ejecutora en Ciencias Sociales Regionales y Humanidades; ArgentinaFil: Gomez, Carina Elizabeth. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - Salta. Unidad Ejecutora en Ciencias Sociales Regionales y Humanidades. Universidad Nacional de Jujuy. Unidad Ejecutora en Ciencias Sociales Regionales y Humanidades; ArgentinaFil: Bustamante, Patricia. Universidad Nacional de Jujuy; ArgentinaFil: Navarro SuĂĄrez, Camila. Universidad Nacional de Jujuy; ArgentinaFil: Yufra, Laura Cristina. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - Salta. Unidad Ejecutora en Ciencias Sociales Regionales y Humanidades. Universidad Nacional de Jujuy. Unidad Ejecutora en Ciencias Sociales Regionales y Humanidades; ArgentinaFil: Massari, MarĂ­a Justina. Universidad Nacional de Jujuy; ArgentinaFil: Cortez, Carla Melisa. Universidad Nacional de Jujuy; ArgentinaFil: Rovetta, Ana InĂ©s. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Oficina de CoordinaciĂłn Administrativa Ciudad Universitaria. Instituto de QuĂ­mica BiolĂłgica de la Facultad de Ciencias Exactas y Naturales. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de QuĂ­mica BiolĂłgica de la Facultad de Ciencias Exactas y Naturales; ArgentinaFil: Zinger, Sabrina. Universidad Nacional de Jujuy; ArgentinaFil: Alba, Juan Pablo. Universidad Nacional de Jujuy; ArgentinaFil: Arrueta, Patricia Marisel. Universidad Nacional de Jujuy; Argentina. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas; ArgentinaFil: Constant, Juan. Universidad Nacional de Jujuy; ArgentinaFil: Gumiel, Silvina. Universidad Nacional de Jujuy; ArgentinaFil: Zazzarini, Susana. Universidad Nacional de Jujuy; ArgentinaFil: Valente, VerĂłnica. Universidad Nacional de Jujuy; ArgentinaFil: Bergesio, Liliana del Carmen. Universidad Nacional de Jujuy. Facultad de Humanidades y Ciencias Sociales; Argentina. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - Salta; ArgentinaFil: GonzĂĄlez, Natividad MarĂ­a. Universidad Nacional de Jujuy. Facultad de Ciencias EconĂłmicas. Instituto de Investigaciones EconĂłmicas; Argentina. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas; ArgentinaFil: Nieva, Florencia Antonella. Universidad Nacional de Jujuy; ArgentinaFil: Callieri, Ivanna Gabriela. Universidad Nacional de Jujuy; ArgentinaFil: Montes, Elena Patricia. Universidad Nacional de Jujuy; ArgentinaFil: Civila Orellana, Fabiola Vanesa. Universidad Nacional de Jujuy; Argentina. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas; ArgentinaFil: Villarrubia GĂłmez, Álvaro Patricio. Universidad Nacional de Jujuy; ArgentinaFil: Quispe, Gloria. Universidad Nacional de Jujuy; ArgentinaFil: Cosme, MarĂ­a Cristina. Universidad Nacional de Jujuy; ArgentinaFil: Quispe, Ariadna Vanesa. Universidad Nacional de Jujuy; ArgentinaFil: GaliĂĄn, VĂ­ctor Joel. Universidad Nacional de Jujuy; ArgentinaFil: Vazquez, Omar Eduardo. Universidad Nacional de Jujuy; ArgentinaFil: Cerpa, Daniela Soledad. Universidad Nacional de Jujuy; ArgentinaFil: MartĂ­nez, Luis Gustavo. Universidad Nacional de Jujuy; ArgentinaFil: FernĂĄndez, Laura Soledad. Universidad Nacional de Jujuy; ArgentinaFil: Tolaba, Gladys Sarai. Universidad Nacional de Jujuy; ArgentinaFil: Escalante, Norberto Oscar. Universidad Nacional de Jujuy; ArgentinaFil: CazĂłn, Mariela. Universidad Nacional de Jujuy; ArgentinaFil: Ugarte, MarĂ­a Adela. Universidad Nacional de Jujuy; ArgentinaFil: GarcĂ­a Vargas, Alejandra. Universidad Nacional de Jujuy. Facultad de Humanidades y Ciencias Sociales; Argentina. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - Salta; ArgentinaFil: Gaona, Melina. Universidad Nacional de Quilmes. Departamento de Ciencias Sociales. Centro de Estudios de Historia, Cultura y Memoria; ArgentinaFil: Zubia, Gonzalo Federico. Universidad Nacional de Quilmes. Departamento de Ciencias Sociales. Centro de Estudios de Historia, Cultura y Memoria; Argentina. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas; ArgentinaFil: Kulemeyer, Jorge Alberto. No especifĂ­ca;Fil: Pantoja, Rodrigo. No especifĂ­ca;Fil: Paz, MarĂ­a Elisa. No especifĂ­ca;Fil: Rivero, Ariel Rodolfo. No especifĂ­ca;Fil: Rocabado, Cecilia InĂ©s. Universidad Nacional de Jujuy; ArgentinaFil: Villagra, Gabriela Soledad. Instituto de Ciencia y TecnologĂ­a Regional; Argentina. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas; ArgentinaFil: RodrĂ­guez, Ana. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas; Argentina. Instituto de Ciencia y TecnologĂ­a Regional; ArgentinaFil: Adi Barrionuevo, Ana Carolina. Universidad Nacional de Jujuy; ArgentinaFil: Adi Barrionuevo, Irene. Universidad Nacional de Jujuy; ArgentinaFil: Aramayo, Natalia. Universidad Nacional de Jujuy; ArgentinaFil: FernĂĄndez, Gabriel. Universidad Nacional de Jujuy; ArgentinaFil: Morales, Miriam Mariana. Universidad Nacional de Jujuy. Instituto de Ecorregiones Andinas. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - Salta. Instituto de Ecorregiones Andinas; ArgentinaFil: Rios, Natalia Fatima. Facultad Latinoamericana de Ciencias Sociales; Argentina. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas; ArgentinaFil: Rocabado, Zaida Nadia. Universidad Nacional de Jujuy; ArgentinaFil: Sandoval, Cecilia. No especifĂ­ca;Fil: Soto, Mercedes. No especifĂ­ca;Fil: Osores, Noelia Andrea del Valle. No especifĂ­ca;Fil: Revollo, Jimena ;Citterio. No especifĂ­ca;Fil: GutiĂ©rrez, Ivone BelĂ©n. Universidad Nacional de Jujuy; ArgentinaFil: Juste, Stella Maris. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - Salta. Unidad Ejecutora en Ciencias Sociales Regionales y Humanidades. Universidad Nacional de Jujuy. Unidad Ejecutora en Ciencias Sociales Regionales y Humanidades; ArgentinaFil: Vidal, JosĂ© Fernando. Universidad Nacional de Jujuy; ArgentinaFil: Karasik, Gabriela Alejandra. Universidad Nacional de Jujuy. Facultad de Humanidades y Ciencias Sociales; Argentina. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - Salta; ArgentinaFil: Bruce, Beatriz Maria. Universidad Nacional de Jujuy; Argentin

    Same data, different analysts: variation in effect sizes due to analytical decisions in ecology and evolutionary biology

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    Gould E, Fraser H, Parker T, et al. Same data, different analysts: variation in effect sizes due to analytical decisions in ecology and evolutionary biology. 2023.Although variation in effect sizes and predicted values among studies of similar phenomena is inevitable, such variation far exceeds what might be produced by sampling error alone. One possible explanation for variation among results is differences among researchers in the decisions they make regarding statistical analyses. A growing array of studies has explored this analytical variability in different (mostly social science) fields, and has found substantial variability among results, despite analysts having the same data and research question. We implemented an analogous study in ecology and evolutionary biology, fields in which there have been no empirical exploration of the variation in effect sizes or model predictions generated by the analytical decisions of different researchers. We used two unpublished datasets, one from evolutionary ecology (blue tit, Cyanistes caeruleus, to compare sibling number and nestling growth) and one from conservation ecology (Eucalyptus, to compare grass cover and tree seedling recruitment), and the project leaders recruited 174 analyst teams, comprising 246 analysts, to investigate the answers to prespecified research questions. Analyses conducted by these teams yielded 141 usable effects for the blue tit dataset, and 85 usable effects for the Eucalyptus dataset. We found substantial heterogeneity among results for both datasets, although the patterns of variation differed between them. For the blue tit analyses, the average effect was convincingly negative, with less growth for nestlings living with more siblings, but there was near continuous variation in effect size from large negative effects to effects near zero, and even effects crossing the traditional threshold of statistical significance in the opposite direction. In contrast, the average relationship between grass cover and Eucalyptus seedling number was only slightly negative and not convincingly different from zero, and most effects ranged from weakly negative to weakly positive, with about a third of effects crossing the traditional threshold of significance in one direction or the other. However, there were also several striking outliers in the Eucalyptus dataset, with effects far from zero. For both datasets, we found substantial variation in the variable selection and random effects structures among analyses, as well as in the ratings of the analytical methods by peer reviewers, but we found no strong relationship between any of these and deviation from the meta-analytic mean. In other words, analyses with results that were far from the mean were no more or less likely to have dissimilar variable sets, use random effects in their models, or receive poor peer reviews than those analyses that found results that were close to the mean. The existence of substantial variability among analysis outcomes raises important questions about how ecologists and evolutionary biologists should interpret published results, and how they should conduct analyses in the future

    NEOTROPICAL XENARTHRANS: a data set of occurrence of xenarthran species in the Neotropics

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    Xenarthrans—anteaters, sloths, and armadillos—have essential functions for ecosystem maintenance, such as insect control and nutrient cycling, playing key roles as ecosystem engineers. Because of habitat loss and fragmentation, hunting pressure, and conflicts with domestic dogs, these species have been threatened locally, regionally, or even across their full distribution ranges. The Neotropics harbor 21 species of armadillos, 10 anteaters, and 6 sloths. Our data set includes the families Chlamyphoridae (13), Dasypodidae (7), Myrmecophagidae (3), Bradypodidae (4), and Megalonychidae (2). We have no occurrence data on Dasypus pilosus (Dasypodidae). Regarding Cyclopedidae, until recently, only one species was recognized, but new genetic studies have revealed that the group is represented by seven species. In this data paper, we compiled a total of 42,528 records of 31 species, represented by occurrence and quantitative data, totaling 24,847 unique georeferenced records. The geographic range is from the southern United States, Mexico, and Caribbean countries at the northern portion of the Neotropics, to the austral distribution in Argentina, Paraguay, Chile, and Uruguay. Regarding anteaters, Myrmecophaga tridactyla has the most records (n = 5,941), and Cyclopes sp. have the fewest (n = 240). The armadillo species with the most data is Dasypus novemcinctus (n = 11,588), and the fewest data are recorded for Calyptophractus retusus (n = 33). With regard to sloth species, Bradypus variegatus has the most records (n = 962), and Bradypus pygmaeus has the fewest (n = 12). Our main objective with Neotropical Xenarthrans is to make occurrence and quantitative data available to facilitate more ecological research, particularly if we integrate the xenarthran data with other data sets of Neotropical Series that will become available very soon (i.e., Neotropical Carnivores, Neotropical Invasive Mammals, and Neotropical Hunters and Dogs). Therefore, studies on trophic cascades, hunting pressure, habitat loss, fragmentation effects, species invasion, and climate change effects will be possible with the Neotropical Xenarthrans data set. Please cite this data paper when using its data in publications. We also request that researchers and teachers inform us of how they are using these data

    Evaluation of a quality improvement intervention to reduce anastomotic leak following right colectomy (EAGLE): pragmatic, batched stepped-wedge, cluster-randomized trial in 64 countries

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    Background Anastomotic leak affects 8 per cent of patients after right colectomy with a 10-fold increased risk of postoperative death. The EAGLE study aimed to develop and test whether an international, standardized quality improvement intervention could reduce anastomotic leaks. Methods The internationally intended protocol, iteratively co-developed by a multistage Delphi process, comprised an online educational module introducing risk stratification, an intraoperative checklist, and harmonized surgical techniques. Clusters (hospital teams) were randomized to one of three arms with varied sequences of intervention/data collection by a derived stepped-wedge batch design (at least 18 hospital teams per batch). Patients were blinded to the study allocation. Low- and middle-income country enrolment was encouraged. The primary outcome (assessed by intention to treat) was anastomotic leak rate, and subgroup analyses by module completion (at least 80 per cent of surgeons, high engagement; less than 50 per cent, low engagement) were preplanned. Results A total 355 hospital teams registered, with 332 from 64 countries (39.2 per cent low and middle income) included in the final analysis. The online modules were completed by half of the surgeons (2143 of 4411). The primary analysis included 3039 of the 3268 patients recruited (206 patients had no anastomosis and 23 were lost to follow-up), with anastomotic leaks arising before and after the intervention in 10.1 and 9.6 per cent respectively (adjusted OR 0.87, 95 per cent c.i. 0.59 to 1.30; P = 0.498). The proportion of surgeons completing the educational modules was an influence: the leak rate decreased from 12.2 per cent (61 of 500) before intervention to 5.1 per cent (24 of 473) after intervention in high-engagement centres (adjusted OR 0.36, 0.20 to 0.64; P < 0.001), but this was not observed in low-engagement hospitals (8.3 per cent (59 of 714) and 13.8 per cent (61 of 443) respectively; adjusted OR 2.09, 1.31 to 3.31). Conclusion Completion of globally available digital training by engaged teams can alter anastomotic leak rates. Registration number: NCT04270721 (http://www.clinicaltrials.gov)

    Deep Underground Neutrino Experiment (DUNE), Far Detector Technical Design Report, Volume I Introduction to DUNE

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    International audienceThe preponderance of matter over antimatter in the early universe, the dynamics of the supernovae that produced the heavy elements necessary for life, and whether protons eventually decay—these mysteries at the forefront of particle physics and astrophysics are key to understanding the early evolution of our universe, its current state, and its eventual fate. The Deep Underground Neutrino Experiment (DUNE) is an international world-class experiment dedicated to addressing these questions as it searches for leptonic charge-parity symmetry violation, stands ready to capture supernova neutrino bursts, and seeks to observe nucleon decay as a signature of a grand unified theory underlying the standard model. The DUNE far detector technical design report (TDR) describes the DUNE physics program and the technical designs of the single- and dual-phase DUNE liquid argon TPC far detector modules. This TDR is intended to justify the technical choices for the far detector that flow down from the high-level physics goals through requirements at all levels of the Project. Volume I contains an executive summary that introduces the DUNE science program, the far detector and the strategy for its modular designs, and the organization and management of the Project. The remainder of Volume I provides more detail on the science program that drives the choice of detector technologies and on the technologies themselves. It also introduces the designs for the DUNE near detector and the DUNE computing model, for which DUNE is planning design reports. Volume II of this TDR describes DUNE's physics program in detail. Volume III describes the technical coordination required for the far detector design, construction, installation, and integration, and its organizational structure. Volume IV describes the single-phase far detector technology. A planned Volume V will describe the dual-phase technology

    Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

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    International audienceThe Pandora Software Development Kit and algorithm libraries provide pattern-recognition logic essential to the reconstruction of particle interactions in liquid argon time projection chamber detectors. Pandora is the primary event reconstruction software used at ProtoDUNE-SP, a prototype for the Deep Underground Neutrino Experiment far detector. ProtoDUNE-SP, located at CERN, is exposed to a charged-particle test beam. This paper gives an overview of the Pandora reconstruction algorithms and how they have been tailored for use at ProtoDUNE-SP. In complex events with numerous cosmic-ray and beam background particles, the simulated reconstruction and identification efficiency for triggered test-beam particles is above 80% for the majority of particle type and beam momentum combinations. Specifically, simulated 1 GeV/cc charged pions and protons are correctly reconstructed and identified with efficiencies of 86.1±0.6\pm0.6% and 84.1±0.6\pm0.6%, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation
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