Nodeless superconductivity in the noncentrosymmetric ThIrSi compound

The ThIrSi superconductor, with $T_c = 6.5$ K, is expected to show unusual features in view of its noncentrosymmetric structure and the presence of heavy elements featuring a sizable spin-orbit coupling. Here, we report a comprehensive study of its electronic properties by means of local-probe techniques: muon-spin rotation and relaxation ({\textmu}SR) and nuclear magnetic resonance (NMR). Both the superfluid density $\rho_\mathrm{sc}(T)$ (determined via transverse-field {\textmu}SR) and the spin-lattice relaxation rate $T_1^{-1}(T)$ (determined via NMR) suggest a nodeless superconductivity. Furthermore, the absence of spontaneous magnetic fields below $T_c$, as evinced from zero-field {\textmu}SR measurements, indicates a preserved time-reversal symmetry in the superconducting state of ThIrSi. Temperature-dependent upper critical fields as well as field-dependent superconducting muon-spin relaxations suggest the presence of multiple superconducting gaps in ThIrSi.Comment: 8 pages, 8 figure

Tailoring Bi2MoO6 by Eu3+ incorporation for enhanced photoluminescence emissions

Here, an experimental study is presented on the structural, electronic, and optical properties of Bi2-xMoO6:xEu3+ (x = 0, 0.5, 1.0, 2.0, and 4.0 mol%) materials, synthesized by means of the microwave-assisted solvothermal method using ethylene glycol as a solvent. Different characterization techniques (X-ray diffraction measurements with Rietveld refinements, Raman and ultraviolet–visible diffuse reflectance spectroscopy, field emission scanning electron microscopy, and photoluminescence emissions) have been employed to examine the structural and electronic properties, energy transfer and defect evolution which control the performance of the as-synthetized materials. Present findings provide deep insights into the substitution of Eu3+ cations in Bi2MoO6, with focus on their influence on process that dictate the superior optical properties.Funding for open access charge: CRUE-Universitat Jaume

Efecto de tres tipos de presas vivas en la larvicultura de bagre blanco (Sorubim cuspicaudus)

RESUMENObjetivo. Evaluar el efecto de diferentes presas vivas en la larvicultura de bagre blanco (Sorubim cuspicaudus). Materiales y métodos. Al inicio de la alimentación exógena de Sorubim cuspicaudus, se ofreció zooplancton producido en mesocosmos (T1), zooplancton silvestre (T2) y nauplios de Artemia (T3), en concentración de 10.000 zoop/L, dos veces al día, durante seis días. Se utilizaron 18 acuarios de cinco litros de volumen útil, con densidad de 25 Larvas/L, seis réplicas por tratamiento en un diseño al azar. Se estimaron la ganancia en peso (Gp) y longitud (Gl), tasa de crecimiento específico (G), sobrevivencia (S), resistencia al estrés (Re), mortalidad acumulada (Ma) y mortalidad por canibalismo (Mc). Resultados. Las larvas alimentadas con mesocosmos presentaron la mayor sobrevivencia (81.3±15.9%); aunque el mejor crecimiento lo presentaron las larvas alimentadas con zooplancton silvestre (T2) las cuales presentaron la mayor mortalidad (42.0±10.7%) y la menor resistencia al estrés (30.0±33.0%). El canibalismo se observó en todos los tratamientos, oscilando entre 4.0 (T2) y 14.3% (T1) sin diferencias significativas entre estos valores (p>0.05). Conclusiones. El uso de zooplancton producido bajo condiciones controladas permitió una alta sobrevivencia, adecuado desempeño y resistencia de las larvas, perfilándose como alternativa viable en la primera alimentación de bagre blanco

Serologic Survey of Hantavirus Infection, Brazilian Amazon

Federal University of Maranhão. São Luís, MA, Brazil.Federal University of Maranhão. São Luís, MA, Brazil.Federal University of Maranhão. São Luís, MA, Brazil.Federal University of Maranhão. São Luís, MA, Brazil.Federal University of Maranhão. São Luís, MA, Brazil.Federal University of Maranhão. São Luís, MA, Brazil.State Department of Health. São Luís, MA, Brazil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Belém, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Belém, PA, Brasil

SN 2013ai: a link between Hydrogen-rich and Hydrogen-poor Core-collapse Supernovae

We present a study of the optical and near-infrared (NIR) spectra of SN 2013ai along with its light curves. These data range from discovery until 380 days after explosion. SN 2013ai is a fast declining Type II supernova (SN II) with an unusually long rise time, 18.9 2.7 days in the V-band, and a bright V-band peak absolute magnitude of -18.7 0.06 mag. The spectra are dominated by hydrogen features in the optical and NIR. The spectral features of SN 2013ai are unique in their expansion velocities, which, when compared to large samples of SNe II, are more than 1,000 km s-1 faster at 50 days past explosion. In addition, the long rise time of the light curve more closely resembles SNe IIb rather than SNe II. If SN 2013ai is coeval with a nearby compact cluster, we infer a progenitor zero-age main-sequence mass of ∼17 M o˙. After performing light-curve modeling, we find that SN 2013ai could be the result of the explosion of a star with little hydrogen mass, a large amount of synthesized 56Ni, 0.3-0.4 M o˙, and an explosion energy of 2.5-3.0 1051 erg. The density structure and expansion velocities of SN 2013ai are similar to those of the prototypical SN IIb, SN 1993J. However, SN 2013ai shows no strong helium features in the optical, likely due to the presence of a dense core that prevents the majority of γ-rays from escaping to excite helium. Our analysis suggests that SN 2013ai could be a link between SNe II and stripped-envelope SNe.Fil: Davis, Scott. University of California; Estados UnidosFil: Pessi, Priscila Jael. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Astrofísica La Plata. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas. Instituto de Astrofísica La Plata; ArgentinaFil: Fraser, M.. University College Dublin; IrlandaFil: Ertini, Keila Yael. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Astrofísica La Plata. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas. Instituto de Astrofísica La Plata; ArgentinaFil: Martinez, Veronica Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Astrofísica La Plata. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas. Instituto de Astrofísica La Plata; ArgentinaFil: Hoeflich, Peter. Florida State University; Estados UnidosFil: Hsiao, Eric. Florida State University; Estados UnidosFil: Folatelli, Gaston. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Astrofísica La Plata. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas. Instituto de Astrofísica La Plata; ArgentinaFil: Ashall, Chris. University of Hawaii at Manoa; Estados UnidosFil: Phillips, Mark. Carnegie Observatories. Las Campanas Observatory; ChileFil: Anderson, J. P.. European Southern Observatory Chile; ChileFil: Bersten, Melina Cecilia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Astrofísica La Plata. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas. Instituto de Astrofísica La Plata; ArgentinaFil: Englert, B.. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas; ArgentinaFil: Fisher, A.. Florida State University; Estados UnidosFil: Benetti, S.. Osservatorio Astronomico di Padova; ItaliaFil: Simaz Bunzel, Adolfo. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto Argentino de Radioastronomía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto Argentino de Radioastronomía; ArgentinaFil: Burns, Christopher R.. Observatories of the Carnegie Institution for Science; Estados UnidosFil: Chen, T. W.. Stockholm University; SueciaFil: Contreras, Carlos. 9Carnegie Observatories. Las Campanas Observatory; ChileFil: Elias Rosa, N.. Osservatorio Astronomico di Padova; ItaliaFil: Falco, E.. Harvard-Smithsonian Center for Astrophysics; Estados UnidosFil: Galbany, Lluís. Harvard-Smithsonian Center for Astrophysics; Estados UnidosFil: Kirshner, Robert. Harvard-Smithsonian Center for Astrophysics; Estados UnidosFil: Kumar, S.. Florida State University; Estados UnidosFil: Lu, J.. Florida State University; Estados UnidosFil: Lyman, D.. University of Warwick; Reino UnidoFil: Marion, G. H.. University of Warwick; Reino UnidoFil: Mattila, S.. University of Turku; FinlandiaFil: Maund, J.. University of Sheffield; Reino UnidoFil: Morrell, Nidia Irene. Carnegie Observatories. Las Campanas Observatory; ChileFil: Serón, J.. University of Sheffield; Reino UnidoFil: Stritzinger, Maximilian. Aarhus University; DinamarcaFil: Shahbandeh, Melissa. Florida State University; Estados UnidosFil: Sullivan, Mark. Aarhus University; DinamarcaFil: Suntzeff, N. B.. Texas A&M University; Estados UnidosFil: Young, D. R.. Texas A&M University; Estados Unido

Persistent symptoms and decreased health-related quality of life after symptomatic pediatric COVID-19: A prospective study in a Latin American tertiary hospital

OBJECTIVES: To prospectively evaluate demographic, anthropometric and health-related quality of life (HRQoL) in pediatric patients with laboratory-confirmed coronavirus disease 2019 (COVID-19) METHODS: This was a longitudinal observational study of surviving pediatric post-COVID-19 patients (n=53) and pediatric subjects without laboratory-confirmed COVID-19 included as controls (n=52) was performed. RESULTS: The median duration between COVID-19 diagnosis (n=53) and follow-up was 4.4 months (0.8-10.7). Twenty-three of 53 (43%) patients reported at least one persistent symptom at the longitudinal follow-up visit and 12/53 (23%) had long COVID-19, with at least one symptom lasting for >12 weeks. The most frequently reported symptoms at the longitudinal follow-up visit were headache (19%), severe recurrent headache (9%), tiredness (9%), dyspnea (8%), and concentration difficulty (4%). At the longitudinal follow-up visit, the frequencies of anemia (11% versus 0%, p=0.030), lymphopenia (42% versus 18%, p=0.020), C-reactive protein level of >30 mg/L (35% versus 0%, p=0.0001), and D-dimer level of >1000 ng/mL (43% versus 6%, p=0.0004) significantly reduced compared with baseline values. Chest X-ray abnormalities (11% versus 2%, p=0.178) and cardiac alterations on echocardiogram (33% versus 22%, p=0.462) were similar at both visits. Comparison of characteristic data between patients with COVID-19 at the longitudinal follow-up visit and controls showed similar age (p=0.962), proportion of male sex (p=0.907), ethnicity (p=0.566), family minimum monthly wage (p=0.664), body mass index (p=0.601), and pediatric pre-existing chronic conditions (p=1.000). The Pediatric Quality of Live Inventory 4.0 scores, median physical score (69 [0-100] versus 81 [34-100], p=0.012), and school score (60 [15-100] versus 70 [15-95], p=0.028) were significantly lower in pediatric patients with COVID-19 at the longitudinal follow-up visit than in controls. CONCLUSIONS: Pediatric patients with COVID-19 showed a longitudinal impact on HRQoL parameters, particularly in physical/school domains, reinforcing the need for a prospective multidisciplinary approach for these patients. These data highlight the importance of closer monitoring of children and adolescents by the clinical team after COVID-19

Identification of genomic regions associated with feed efficiency in Nelore cattle

Abstract\ud \ud Background\ud Feed efficiency is jointly determined by productivity and feed requirements, both of which are economically relevant traits in beef cattle production systems. The objective of this study was to identify genes/QTLs associated with components of feed efficiency in Nelore cattle using Illumina BovineHD BeadChip (770 k SNP) genotypes from 593 Nelore steers. The traits analyzed included: average daily gain (ADG), dry matter intake (DMI), feed-conversion ratio (FCR), feed efficiency (FE), residual feed intake (RFI), maintenance efficiency (ME), efficiency of gain (EG), partial efficiency of growth (PEG) and relative growth rate (RGR). The Bayes B analysis was completed with Gensel software parameterized to fit fewer markers than animals. Genomic windows containing all the SNP loci in each 1 Mb that accounted for more than 1.0% of genetic variance were considered as QTL region. Candidate genes within windows that explained more than 1% of genetic variance were selected by putative function based on DAVID and Gene Ontology.\ud \ud \ud Results\ud Thirty-six QTL (1-Mb SNP window) were identified on chromosomes 1, 2, 3, 5, 6, 7, 8, 9, 10, 12, 14, 15, 16, 18, 19, 20, 21, 22, 24, 25 and 26 (UMD 3.1). The amount of genetic variance explained by individual QTL windows for feed efficiency traits ranged from 0.5% to 9.07%. Some of these QTL minimally overlapped with previously reported feed efficiency QTL for Bos taurus. The QTL regions described in this study harbor genes with biological functions related to metabolic processes, lipid and protein metabolism, generation of energy and growth. Among the positional candidate genes selected for feed efficiency are: HRH4, ALDH7A1, APOA2, LIN7C, CXADR, ADAM12 and MAP7.\ud \ud \ud \ud Conclusions\ud Some genomic regions and some positional candidate genes reported in this study have not been previously reported for feed efficiency traits in Bos indicus. Comparison with published results indicates that different QTLs and genes may be involved in the control of feed efficiency traits in this Nelore cattle population, as compared to Bos taurus cattle.CNPqCAPE