CFD Analyses and Experiments in a PAT Modeling: Pressure Variation and System Efficiency

[EN] Analysis of a PAT modeling is presented for application in water pipe systems as an interesting and promising energy converter to improve the system energy efficiency. The study is focused on the use of a Computational Fluid Dynamics (CFD) model in conjunction with laboratory data for representing PAT performance. The first stage of the procedure concerns a systematic analysis of the role played by the characteristic PAT parameters in the computational mesh definitions of the CFD model, with the aim of defining the most efficient set of capturing the main features of the PAT behaviour under different operating conditions. In the second stage, comparisons of CFD results and experiments were carried out to examine some system components for better understanding the PAT response. Specifically, the behavior of the pressure distribution along the PAT installation when implemented in a water pipe system are analyzed, and the links between pressure variation and the head drop in different system components responsible for the head losses and net head definition are also examined.This research is supported by the "Program to support the academic career of the faculty of the Universitat Politecnica de Valencia 2016/2017 in the project 'Maximization of the global efficiency in PATs in laboratory facility of the first author. The authors wish to thank to the project REDAWN (Reducing Energy Dependency in Atlantic Area Water Networks) EAPA_198/2016 from INTERREG ATLANTIC AREA PROGRAMME 2014-2020 and CERIS (CEHIDRO-IST), the Hydraulic Laboratory, for the support in the conceptual developments and the experiments on PATs.Pérez-Sánchez, M.; Simao, M.; López Jiménez, PA.; Ramos, HM. (2017). CFD Analyses and Experiments in a PAT Modeling: Pressure Variation and System Efficiency. Fluids. 2(4):1-17. doi:10.3390/fluids2040051S1172

Testing repeatability, measurement error and species differentiation when using geometric morphometrics on complex shapes: a case study of Patagonian lizards of the genus Liolaemus (Squamata: Liolaemini)

The repeatability of findings is the key factor behind scientific reliability, and the failure to reproduce scientificfindings has been termed the "replication crisis". Geometric morphometrics is an established tool in evolutionarybiology. However, different operators (and/or different methods) could act as large sources of variation in the dataobtained. Here, we investigated inter-operator error in geometric morphometric protocols on complex shapes ofLiolaemus lizards, as well as measurement error in three taxa varying in their difficulty of digitalization. We alsoexamined the potential for these protocols to discriminate among complex shapes in closely related species. Wefound a wide range of inter-operator error, contributing between 19.5% and 60% to the total variation. Moreover,measurement error increased with the complexity of the quantified shape. All protocols were able to discriminatebetween species, but the use of more landmarks did not imply better performance. We present evidence that complexshapes reduce repeatability, highlighting the need to explore different sources of variation that could lead to suchlow repeatability. Lastly, we suggest some recommendations to improve the repeatability and reliability of geometricmorphometrics results.Fil: Vrdoljak, Juan Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico para el Estudio de los Ecosistemas Continentales; ArgentinaFil: Sánchez, Kevin Imanol. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico para el Estudio de los Ecosistemas Continentales; ArgentinaFil: Arreola Ramos, Roberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico para el Estudio de los Ecosistemas Continentales; ArgentinaFil: Diaz Huesa, Emilce Guadalupe. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto de Diversidad y Evolución Austral; ArgentinaFil: Villagra, Alejandro. Universidad Nacional de la Patagonia "San Juan Bosco"; ArgentinaFil: Avila, Luciano Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico para el Estudio de los Ecosistemas Continentales; ArgentinaFil: Morando, Mariana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico para el Estudio de los Ecosistemas Continentales; Argentin

Use of Veterinary Vaccines for Livestock as a Strategy to Control Foodborne Parasitic Diseases

Foodborne diseases (FBDs) are a major concern worldwide since they are associated with high mortality and morbidity in the human population. Among the causative agents of FBDs, Taenia solium, Echinococcus granulosus, Toxoplasma gondii, Cryptosporidium spp., and Trichinella spiralis are listed in the top global risk ranking of foodborne parasites. One common feature between them is that they affect domestic livestock, encompassing an enormous risk to global food production and human health from farm to fork, infecting animals, and people either directly or indirectly. Several approaches have been employed to control FBDs caused by parasites, including veterinary vaccines for livestock. Veterinary vaccines against foodborne parasites not only improve the animal health by controlling animal infections but also contribute to increase public health by controlling an important source of FBDs. In the present review, we discuss the advances in the development of veterinary vaccines for domestic livestock as a strategy to control foodborne parasitic diseases.Fil: Sander, Valeria Analia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Biotecnológicas. Instituto de Investigaciones Biotecnológicas "Dr. Raúl Alfonsín" (sede Chascomús). Universidad Nacional de San Martín. Instituto de Investigaciones Biotecnológicas. Instituto de Investigaciones Biotecnológicas "Dr. Raúl Alfonsín" (sede Chascomús); ArgentinaFil: Sánchez López, Edwin Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Biotecnológicas. Instituto de Investigaciones Biotecnológicas "Dr. Raúl Alfonsín" (sede Chascomús). Universidad Nacional de San Martín. Instituto de Investigaciones Biotecnológicas. Instituto de Investigaciones Biotecnológicas "Dr. Raúl Alfonsín" (sede Chascomús); ArgentinaFil: Mendoza Morales, Luisa Fernanda. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Biotecnológicas. Instituto de Investigaciones Biotecnológicas "Dr. Raúl Alfonsín" (sede Chascomús). Universidad Nacional de San Martín. Instituto de Investigaciones Biotecnológicas. Instituto de Investigaciones Biotecnológicas "Dr. Raúl Alfonsín" (sede Chascomús); ArgentinaFil: Ramos Duarte, Víctor Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Biotecnológicas. Instituto de Investigaciones Biotecnológicas "Dr. Raúl Alfonsín" (sede Chascomús). Universidad Nacional de San Martín. Instituto de Investigaciones Biotecnológicas. Instituto de Investigaciones Biotecnológicas "Dr. Raúl Alfonsín" (sede Chascomús); ArgentinaFil: Corigliano, Mariana Georgina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Biotecnológicas. Instituto de Investigaciones Biotecnológicas "Dr. Raúl Alfonsín" (sede Chascomús). Universidad Nacional de San Martín. Instituto de Investigaciones Biotecnológicas. Instituto de Investigaciones Biotecnológicas "Dr. Raúl Alfonsín" (sede Chascomús); ArgentinaFil: Clemente, Marina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Biotecnológicas. Instituto de Investigaciones Biotecnológicas "Dr. Raúl Alfonsín" (sede Chascomús). Universidad Nacional de San Martín. Instituto de Investigaciones Biotecnológicas. Instituto de Investigaciones Biotecnológicas "Dr. Raúl Alfonsín" (sede Chascomús); Argentin

Programa de innovación tecnológica con impacto social

ITESO, A.C

Breakthrough invasive fungal infection among patients with haematologic malignancies: A national, prospective, and multicentre study

Objectives: We describe the current epidemiology, causes, and outcomes of breakthrough invasive fungal infections (BtIFI) in patients with haematologic malignancies.Methods: BtIFI in patients with & GE; 7 days of prior antifungals were prospectively diagnosed (36 months across 13 Spanish hospitals) according to revised EORTC/MSG definitions.Results: 121 episodes of BtIFI were documented, of which 41 (33.9%) were proven; 53 (43.8%), probable; and 27 (22.3%), possible. The most frequent prior antifungals included posaconazole (32.2%), echinocandins (28.9%) and fluconazole (24.8%)-mainly for primary prophylaxis (81%). The most common haematologic malignancy was acute leukaemia (64.5%), and 59 (48.8%) patients had undergone a hematopoietic stem-cell transplantation. Invasive aspergillosis, principally caused by non-fumigatus Aspergillus, was the most fre-quent BtIFI with 55 (45.5%) episodes recorded, followed by candidemia (23, 19%), mucormycosis (7, 5.8%), other moulds (6, 5%) and other yeasts (5, 4.1%). Azole resistance/non-susceptibility was commonly found. Prior antifungal therapy widely determined BtIFI epidemiology. The most common cause of BtIFI in proven and probable cases was the lack of activity of the prior antifungal (63, 67.0%). At diagnosis, antifungal therapy was mostly changed (90.9%), mainly to liposomal amphotericin-B (48.8%). Overall, 10 0-day mor-tality was 47.1%; BtIFI was either the cause or an essential contributing factor to death in 61.4% of cases.Conclusions: BtIFI are mainly caused by non-fumigatus Aspergillus, non-albicans Candida, Mucorales and other rare species of mould and yeast. Prior antifungals determine the epidemiology of BtIFI. The exceed-ingly high mortality due to BtIFI warrants an aggressive diagnostic approach and early initiation of broad-spectrum antifungals different than those previously used.& COPY; 2023 The Author(s). Published by Elsevier Ltd on behalf of The British Infection Association. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)

Mental Health in university students in social isolation during the COVID-19 Pandemic. Arequipa, Peru.

Introducción: La Pandemia COVID-19, ha tenido impactos negativos en la salud física y mental de las personas, así como las medidas adoptadas por los gobiernos, para prevenir el contagio masivo de la población como el confinamiento, el aislamiento social, el trabajo y educación virtual. Dentro de los afectados por estos cambios, se encontrarían los estudiantes universitarios del área de la salud, que además de estudiar en estas condiciones de pandemia, no han podido hacer sus prácticas de los servicios de salud. Esta situación de exposición al aislamiento, podría afectar la salud mental de los jóvenes estudiantes universitarios.  Objetivo: determinar los niveles de depresión, ansiedad y estrés en estudiantes universitarios y su relación con variables sociodemográficas y las características del aislamiento social durante la Pandemia COVID-19.. Métodos:  Se realizó un estudio descriptivo, observacional, de corte transversal y cuantitativo, con una muestra de 818 estudiantes universitarios de facultades de ciencias de la salud, mediante el cuestionario autoadministrado DASS-21. Resultados:  Los principales hallazgos fueron: una mayor prevalencia en niveles altos (severos y extremadamente severos) en la ansiedad, alcanzado casi a 4 de cada 10 de los evaluados; por otro lado, en depresión y el estrés, 2 de cada 10 de los evaluados, se encontraron en los niveles mencionados. En relación con las variables sociodemográficas, las relacionadas con el COVID-19 y aislamiento social, se hallaron diferencias estadísticamente significativas con el género (mujeres > varones), el haber tenido COVID-19 (Si > No) y vivir con familiares como antes de la pandemia (Si > No) obtuvieron en promedio mayores puntajes en depresión, ansiedad y estrés. Conclusión: Los estudiantes que presentaron mayor depresión, ansiedad y estrés con una diferencia significativa fueron de género femenino, con antecedentes de haber tenido Covid-19, menor contacto con famiiares y haber cumplido con aislamiento social totalAbstractIntroduction: The COVID-19 Pandemic has had negative impacts on the physical and mental health of people, as well as the measures adopted by governments to prevent the massive contagion of the population, such as confinement, social isolation, virtual work, and virtual education. Among those affected by these changes would be university students in the health area who, in addition to studying in these pandemic conditions, have been unable to do their health service practices. This situation of exposure to isolation could affect the mental health of young university students. Objective: To determine the levels of depression, anxiety, and stress in university students, their relationship with sociodemographic variables, and the characteristics of social isolation during the COVID-19 Pandemic. Methods: A descriptive, observational, cross-sectional, and quantitative study was carried out with a sample of 818 university students from health sciences faculties using the DASS-21 self-administered questionnaire. Results: The main findings were a higher prevalence of high levels (severe and highly severe) in anxiety, reaching almost 4 out of 10 of those evaluated; On the other hand, in depression and stress, 2 out of 10 of those evaluated were found at the mentioned levels. Concerning the sociodemographic variables, those related to COVID-19 and social isolation, statistically significant differences were found with gender (women > men), having had COVID-19 (Yes > No), and living with relatives as before. On average, the pandemic (Yes > No) obtained higher scores in depression, anxiety, and stress. Conclusion: The students who presented greater depression, anxiety, and stress with a significant difference were female, with a history of having had Covid-19, less contact with family members, and having complied with total social isolation &nbsp

SDSS-III: Massive Spectroscopic Surveys of the Distant Universe, the Milky Way Galaxy, and Extra-Solar Planetary Systems

Building on the legacy of the Sloan Digital Sky Survey (SDSS-I and II), SDSS-III is a program of four spectroscopic surveys on three scientific themes: dark energy and cosmological parameters, the history and structure of the Milky Way, and the population of giant planets around other stars. In keeping with SDSS tradition, SDSS-III will provide regular public releases of all its data, beginning with SDSS DR8 (which occurred in Jan 2011). This paper presents an overview of the four SDSS-III surveys. BOSS will measure redshifts of 1.5 million massive galaxies and Lya forest spectra of 150,000 quasars, using the BAO feature of large scale structure to obtain percent-level determinations of the distance scale and Hubble expansion rate at z<0.7 and at z~2.5. SEGUE-2, which is now completed, measured medium-resolution (R=1800) optical spectra of 118,000 stars in a variety of target categories, probing chemical evolution, stellar kinematics and substructure, and the mass profile of the dark matter halo from the solar neighborhood to distances of 100 kpc. APOGEE will obtain high-resolution (R~30,000), high signal-to-noise (S/N>100 per resolution element), H-band (1.51-1.70 micron) spectra of 10^5 evolved, late-type stars, measuring separate abundances for ~15 elements per star and creating the first high-precision spectroscopic survey of all Galactic stellar populations (bulge, bar, disks, halo) with a uniform set of stellar tracers and spectral diagnostics. MARVELS will monitor radial velocities of more than 8000 FGK stars with the sensitivity and cadence (10-40 m/s, ~24 visits per star) needed to detect giant planets with periods up to two years, providing an unprecedented data set for understanding the formation and dynamical evolution of giant planet systems. (Abridged)Comment: Revised to version published in The Astronomical Journa

Differential cross section measurements for the production of a W boson in association with jets in proton–proton collisions at √s = 7 TeV

Measurements are reported of differential cross sections for the production of a W boson, which decays into a muon and a neutrino, in association with jets, as a function of several variables, including the transverse momenta (pT) and pseudorapidities of the four leading jets, the scalar sum of jet transverse momenta (HT), and the difference in azimuthal angle between the directions of each jet and the muon. The data sample of pp collisions at a centre-of-mass energy of 7 TeV was collected with the CMS detector at the LHC and corresponds to an integrated luminosity of 5.0 fb[superscript −1]. The measured cross sections are compared to predictions from Monte Carlo generators, MadGraph + pythia and sherpa, and to next-to-leading-order calculations from BlackHat + sherpa. The differential cross sections are found to be in agreement with the predictions, apart from the pT distributions of the leading jets at high pT values, the distributions of the HT at high-HT and low jet multiplicity, and the distribution of the difference in azimuthal angle between the leading jet and the muon at low values.United States. Dept. of EnergyNational Science Foundation (U.S.)Alfred P. Sloan Foundatio