Cluster simulation of relativistic fermions in two space-time dimensions

For Majorana-Wilson lattice fermions in two dimensions we derive a dimer representation. This is equivalent to Gattringer's loop representation, but is made exact here on the torus. A subsequent dual mapping leads to yet another representation in which a highly efficient Swendsen-Wang type cluster algorithm is constructed. It includes the possibility of fluctuating boundary conditions. It also allows for improved estimators and makes interesting new observables accessible to Monte Carlo. The algorithm is compatible with the Gross-Neveu as well as an additional Z(2) gauge interaction. In this article numerical demonstrations are reported for critical free fermions.Comment: 24 pages, 3 figures: tiny changes, mainly typo

Meron-Cluster Simulation of a Chiral Phase Transition with Staggered Fermions

We examine a (3+1)-dimensional model of staggered lattice fermions with a four-fermion interaction and Z(2) chiral symmetry using the Hamiltonian formulation. This model cannot be simulated with standard fermion algorithms because those suffer from a very severe sign problem. We use a new fermion simulation technique - the meron-cluster algorithm - which solves the sign problem and leads to high-precision numerical data. We investigate the finite temperature chiral phase transition and verify that it is in the universality class of the 3-d Ising model using finite-size scaling.Comment: 21 pages, 6 figure

Meron-cluster algorithms and chiral symmetry breaking in a (2+1)-d staggered fermion model

The recently developed Meron-Cluster algorithm completely solves the exponentially difficult sign problem for a number of models previously inaccessible to numerical simulation. We use this algorithm in a high-precision study of a model of N=1 flavor of staggered fermions in (2+1)-dimensions with a four-fermion interaction. This model cannot be explored using standard algorithms. We find that the Z(2) chiral symmetry of this model is spontaneously broken at low temperatures and that the finite-temperature chiral phase transition is in the universality class of the 2-d Ising model, as expected.Comment: 18 pages, LaTe

Meron-Cluster Approach to Systems of Strongly Correlated Electrons

Numerical simulations of strongly correlated electron systems suffer from the notorious fermion sign problem which has prevented progress in understanding if systems like the Hubbard model display high-temperature superconductivity. Here we show how the fermion sign problem can be solved completely with meron-cluster methods in a large class of models of strongly correlated electron systems, some of which are in the extended Hubbard model family and show s-wave superconductivity. In these models we also find that on-site repulsion can even coexist with a weak chemical potential without introducing sign problems. We argue that since these models can be simulated efficiently using cluster algorithms they are ideal for studying many of the interesting phenomena in strongly correlated electron systems.Comment: 36 Pages, 13 figures, plain Late

American Literature in the World: An Anthology from Anne Bradstreet to Octavia Butler

Contains Title Page, Table of Contentshttps://mavmatrix.uta.edu/english_ctt/1135/thumbnail.jp

Gut Microbiome Dysbiosis in Antibiotic-Treated COVID-19 Patients is Associated with Microbial Translocation and Bacteremia

Although microbial populations in the gut microbiome are associated with COVID-19 severity, a causal impact on patient health has not been established. Here we provide evidence that gut microbiome dysbiosis is associated with translocation of bacteria into the blood during COVID-19, causing life-threatening secondary infections. We first demonstrate SARS-CoV-2 infection induces gut microbiome dysbiosis in mice, which correlated with alterations to Paneth cells and goblet cells, and markers of barrier permeability. Samples collected from 96 COVID-19 patients at two different clinical sites also revealed substantial gut microbiome dysbiosis, including blooms of opportunistic pathogenic bacterial genera known to include antimicrobial-resistant species. Analysis of blood culture results testing for secondary microbial bloodstream infections with paired microbiome data indicates that bacteria may translocate from the gut into the systemic circulation of COVID-19 patients. These results are consistent with a direct role for gut microbiome dysbiosis in enabling dangerous secondary infections during COVID-19

Positive End-Expiratory Pressure may alter breathing cardiovascular variability and baroreflex gain in mechanically ventilated patients

<p>Abstract</p> <p>Background</p> <p>Baroreflex allows to reduce sudden rises or falls of arterial pressure through parallel RR interval fluctuations induced by autonomic nervous system. During spontaneous breathing, the application of positive end-expiratory pressure (PEEP) may affect the autonomic nervous system, as suggested by changes in baroreflex efficiency and RR variability. During mechanical ventilation, some patients have stable cardiorespiratory phase difference and high-frequency amplitude of RR variability (HF-RR amplitude) over time and others do not. Our first hypothesis was that a steady pattern could be associated with reduced baroreflex sensitivity and HF-RR amplitude, reflecting a blunted autonomic nervous function. Our second hypothesis was that PEEP, widely used in critical care patients, could affect their autonomic function, promoting both steady pattern and reduced baroreflex sensitivity.</p> <p>Methods</p> <p>We tested the effect of increasing PEEP from 5 to 10 cm H2O on the breathing variability of arterial pressure and RR intervals, and on the baroreflex. Invasive arterial pressure, ECG and ventilatory flow were recorded in 23 mechanically ventilated patients during 15 minutes for both PEEP levels. HF amplitude of RR and systolic blood pressure (SBP) time series and HF phase differences between RR, SBP and ventilatory signals were continuously computed by complex demodulation. Cross-spectral analysis was used to assess the coherence and gain functions between RR and SBP, yielding baroreflex-sensitivity indices.</p> <p>Results</p> <p>At PEEP 10, the 12 patients with a stable pattern had lower baroreflex gain and HF-RR amplitude of variability than the 11 other patients. Increasing PEEP was generally associated with a decreased baroreflex gain and a greater stability of HF-RR amplitude and cardiorespiratory phase difference. Four patients who exhibited a variable pattern at PEEP 5 became stable at PEEP 10. At PEEP 10, a stable pattern was associated with higher organ failure score and catecholamine dosage.</p> <p>Conclusions</p> <p>During mechanical ventilation, stable HF-RR amplitude and cardiorespiratory phase difference over time reflect a blunted autonomic nervous function which might worsen as PEEP increases.</p

Aboveground biomass of a "campina" ecosystem in Roraima, Northern of Brazilian Amazonia

The aboveground biomass of a "campina" ecosystem was estimated in Roraima, in the northern portion of Brazilian Amazonia. The biomass was determined from a phytosociological inventory (1 ha) and distributed between two categories: (1) grassy-woody, composed of "herbs+lichens" (Poaceae, Cyperaceae, Eriocaulaceae, Cladonia spp), Bromeliaceae, seedlings, fine and coarse litter and, (2) woody, composed of trees and bushes. The grassy-woody category was estimated by the direct method (cutting and weighing) in 10 1-m² plots, taking advantage of transects of the inventory. The category woody was estimated by the indirect method cutting 98 individuals of different species and diameters. A model was generated to express the relationship among total dry above-ground biomass (kg), base circumference (cm) and total height (m) for the individuals in this category. The equation was applied to the 3,966 ind.ha-1 observed in the inventory. The total biomass was estimated at 15.91 t.ha-1, of which 2.20 ± 0.23 t.ha-1 (13.8%) was in the grassy-woody category and 13.70 ± 7.13 t.ha-1 (86.2%) in woody category. The tree species with the highest biomass was Humiria balsamifera (Aubl.) St. Hill. (8.43 t.ha-1), followed by Pagamea guianensis Aubl. (1.14 t.ha-1). These results are important for refining the calculations of greenhouse-gas emissions from burning and decomposition of above-ground biomass in "campina" ecosystems in the Amazon region.Foi estimada a biomassa (viva + morta) acima do solo de um ecossistema de "campina" localizado em Roraima, norte da Amazônia brasileira. A biomassa foi determinada a partir de um inventário fitossociológico (1 ha amostral) e distribuída em dois estratos(1) gramíneo-lenhoso, composto de "ervas + liquens" (Poaceae, Cyperaceae, Eriocaulaceae, Cladonia spp), Bromeliaceae, plântulas, "litter" fino e grosso e, (2) arbóreo-arbustivo, composto por árvores e arbustos. O estrato gramíneo-lenhoso foi estimado pelo método direto (corte e pesagem) através de 10 quadras de 1m², aproveitando os transectos do inventário. O estrato arbóreo-arbustivo foi estimado pelo método indireto com o corte de 98 indivíduos de diferentes espécies e diâmetros. Foi gerado um modelo para expressar a relação entre a biomassa seca total (kg), a circunferência de base (cm) e a altura total (m) para os indivíduos deste estrato. A equação foi aplicada nos 3.966 indivíduos.ha-1 observados no inventário. A biomassa total foi estimada em 15,91 t.ha-1, sendo 2,20 ± 0,23 t.ha-1 (13,8%) do estrato gramíneo-lenhoso e 13,70 ± 7,13 t.ha-1 (86,2%) do arbóreo-arbustivo. A espécie arbórea de maior biomassa foi Humiria balsamifera (Aubl.) St. Hill. (8,43 t.ha-1), seguida de Pagamea guianensis Aubl. (1,14 t.ha-1). Estes resultados são importantes para refinar os cálculos de emissão de gases do efeito estufa pela queima e decomposição da biomassa acima do solo em ecossistemas de campinas na Amazônia