Optimization of inhomogeneous electron correlation factors in periodic solids

A method is presented for the optimization of one-body and inhomogeneous two-body terms in correlated electronic wave functions of Jastrow-Slater type. The most general form of inhomogeneous correlation term which is compatible with crystal symmetry is used and the energy is minimized with respect to all parameters using a rapidly convergent iterative approach, based on Monte Carlo sampling of the energy and fitting energy fluctuations. The energy minimization is performed exactly within statistical sampling error for the energy derivatives and the resulting one- and two-body terms of the wave function are found to be well-determined. The largest calculations performed require the optimization of over 3000 parameters. The inhomogeneous two-electron correlation terms are calculated for diamond and rhombohedral graphite. The optimal terms in diamond are found to be approximately homogeneous and isotropic over all ranges of electron separation, but exhibit some inhomogeneity at short- and intermediate-range, whereas those in graphite are found to be homogeneous at short-range, but inhomogeneous and anisotropic at intermediate- and long-range electron separation.Comment: 23 pages, 15 figures, 1 table, REVTeX4, submitted to PR

Revealing Nanoscale Chemical Heterogeneities in Polycrystalline Mo-BiVO4 Thin Films

Indexación: Scopus.The activity of polycrystalline thin film photoelectrodes is impacted by local variations of the material properties due to the exposure of different crystal facets and the presence of grain/domain boundaries. Here a multi-modal approach is applied to correlate nanoscale heterogeneities in chemical composition and electronic structure with nanoscale morphology in polycrystalline Mo-BiVO4. By using scanning transmission X-ray microscopy, the characteristic structure of polycrystalline film is used to disentangle the different X-ray absorption spectra corresponding to grain centers and grain boundaries. Comparing both spectra reveals phase segregation of V2O5 at grain boundaries of Mo-BiVO4 thin films, which is further supported by X-ray photoelectron spectroscopy and many-body density functional theory calculations. Theoretical calculations also enable to predict the X-ray absorption spectral fingerprint of polarons in Mo-BiVO4. After photo-electrochemical operation, the degraded Mo-BiVO4 films show similar grain center and grain boundary spectra indicating V2O5 dissolution in the course of the reaction. Overall, these findings provide valuable insights into the degradation mechanism and the impact of material heterogeneities on the material performance and stability of polycrystalline photoelectrodes. © 2020 The Authors. Published by Wiley-VCH GmbHhttps://onlinelibrary-wiley-com.recursosbiblioteca.unab.cl/doi/10.1002/smll.20200160

Whole-genome sequencing reveals host factors underlying critical COVID-19

Critical COVID-19 is caused by immune-mediated inflammatory lung injury. Host genetic variation influences the development of illness requiring critical care1 or hospitalization2,3,4 after infection with SARS-CoV-2. The GenOMICC (Genetics of Mortality in Critical Care) study enables the comparison of genomes from individuals who are critically ill with those of population controls to find underlying disease mechanisms. Here we use whole-genome sequencing in 7,491 critically ill individuals compared with 48,400 controls to discover and replicate 23 independent variants that significantly predispose to critical COVID-19. We identify 16 new independent associations, including variants within genes that are involved in interferon signalling (IL10RB and PLSCR1), leucocyte differentiation (BCL11A) and blood-type antigen secretor status (FUT2). Using transcriptome-wide association and colocalization to infer the effect of gene expression on disease severity, we find evidence that implicates multiple genes—including reduced expression of a membrane flippase (ATP11A), and increased expression of a mucin (MUC1)—in critical disease. Mendelian randomization provides evidence in support of causal roles for myeloid cell adhesion molecules (SELE, ICAM5 and CD209) and the coagulation factor F8, all of which are potentially druggable targets. Our results are broadly consistent with a multi-component model of COVID-19 pathophysiology, in which at least two distinct mechanisms can predispose to life-threatening disease: failure to control viral replication; or an enhanced tendency towards pulmonary inflammation and intravascular coagulation. We show that comparison between cases of critical illness and population controls is highly efficient for the detection of therapeutically relevant mechanisms of disease

When should antiretroviral therapy be started for HIV-infected infants in resource-limited settings?

[No abstract available]Editoria

Prevalence and numbers ofsalmonellaspp. and enterobacteriaceae on pork cuts in abattoirs in the republic of ireland

Aims: This study aimed to determine the numbers and types of Salmonella spp. and Enterobacteriaceae on pork cuts in the meat cutting room environment of four commercial pork abattoirs in the Republic of Ireland. Methods and Results: Pork oysters (M. gluteus medius; n = 720) and swabs (n = 56) from equipment and surfaces were screened for Salmonella spp. using a DNA-based PCR method and confirmed by culture. Salmonella numbers were assessed using a three-tube most probable number (MPN) technique. Salmonella spp. was detected on 24/720 (3.3%) pork cuts (range of < 0.03-0.36 MPN g(-1)) and in 7/56 (12.5%) environmental swabs (range of < 0.03-1.10 MPN cm(-2)). There was significant variation in the prevalence of Salmonella on pork between different abattoirs and days of sampling (range of 0-31.7%). The predominant serotype was Salmonella serotype Typhimurium followed by Salmonella serotype Derby. Conclusions: Overall prevalence data conceal the key finding that there was considerable variation in the incidence of Salmonella on different days. A direct association between Salmonella contamination of pork cuts and equipment/surfaces was observed. Significance and Impact of the Study: Prevalence and numbers of Salmonella were low; however, results clearly demonstrate the potential for cross-contamination from equipment and meat contact surfaces in the cutting room environment

Prevalence and numbers ofsalmonellaspp. and enterobacteriaceae on pork cuts in abattoirs in the republic of ireland

Aims: This study aimed to determine the numbers and types of Salmonella spp. and Enterobacteriaceae on pork cuts in the meat cutting room environment of four commercial pork abattoirs in the Republic of Ireland. Methods and Results: Pork oysters (M. gluteus medius; n = 720) and swabs (n = 56) from equipment and surfaces were screened for Salmonella spp. using a DNA-based PCR method and confirmed by culture. Salmonella numbers were assessed using a three-tube most probable number (MPN) technique. Salmonella spp. was detected on 24/720 (3.3%) pork cuts (range of < 0.03-0.36 MPN g(-1)) and in 7/56 (12.5%) environmental swabs (range of < 0.03-1.10 MPN cm(-2)). There was significant variation in the prevalence of Salmonella on pork between different abattoirs and days of sampling (range of 0-31.7%). The predominant serotype was Salmonella serotype Typhimurium followed by Salmonella serotype Derby. Conclusions: Overall prevalence data conceal the key finding that there was considerable variation in the incidence of Salmonella on different days. A direct association between Salmonella contamination of pork cuts and equipment/surfaces was observed. Significance and Impact of the Study: Prevalence and numbers of Salmonella were low; however, results clearly demonstrate the potential for cross-contamination from equipment and meat contact surfaces in the cutting room environment