42 research outputs found
Evidence for the Gompertz Curve in the Income Distribution of Brazil 1978-2005
This work presents an empirical study of the evolution of the personal income
distribution in Brazil. Yearly samples available from 1978 to 2005 were studied
and evidence was found that the complementary cumulative distribution of
personal income for 99% of the economically less favorable population is well
represented by a Gompertz curve of the form , where
is the normalized individual income. The complementary cumulative
distribution of the remaining 1% richest part of the population is well
represented by a Pareto power law distribution . This
result means that similarly to other countries, Brazil's income distribution is
characterized by a well defined two class system. The parameters , ,
, were determined by a mixture of boundary conditions,
normalization and fitting methods for every year in the time span of this
study. Since the Gompertz curve is characteristic of growth models, its
presence here suggests that these patterns in income distribution could be a
consequence of the growth dynamics of the underlying economic system. In
addition, we found out that the percentage share of both the Gompertzian and
Paretian components relative to the total income shows an approximate cycling
pattern with periods of about 4 years and whose maximum and minimum peaks in
each component alternate at about every 2 years. This finding suggests that the
growth dynamics of Brazil's economic system might possibly follow a
Goodwin-type class model dynamics based on the application of the
Lotka-Volterra equation to economic growth and cycle.Comment: 22 pages, 15 figures, 4 tables. LaTeX. Accepted for publication in
"The European Physical Journal B
Self-reported daily walking time in COPD: relationship with relevant clinical and functional characteristics
Background: Quantifying physical activity in chronic obstructive pulmonary disease (COPD) is important as physical inactivity is related to poor health outcomes. This study analyzed the relationship between patients' self-reported daily walking time and relevant characteristics related to COPD severity. Methods: Pooled analysis was performed on data from four observational studies on which daily walking time was gathered from a personal interview. Patients were classified as physically inactive if walking time was 3, post-bronchodilator forced expiratory volume in the first second 4, and CAT score >30. Conclusion: Lower self-reported walking times are related to worse markers of disease severity in COPD
Above-ground carbon stocks, species diversity and fire dynamics in the Bateke Plateau
Savannas are heterogeneous systems characterised by a high spatial and temporal variation
in ecosystem structure. Savannas dominate the tropics, with important ecological functions,
and play a prominent role in the global carbon cycle, in particular responsible for much of its
inter-annual variability. They are shaped by resource availability, soil characteristics and
disturbance events, particularly fire. Understanding and predicting the demographic
structure and woody cover of savannas remains a challenge, as it is currently poorly
understood due to the complex interactions and processes that determine them. A predictive
understanding of savanna ecosystems is critical in the context of land use management and
global change.
Fire is an essential ecological disturbance in savannas, and forest-savanna mosaics
are maintained by fire-mediated positive feedbacks. Over half of the world’s savannas are
found in Africa, and over a quarter Africa’s surface burns every year, with fires occurring
principally in the savanna biome. These have strong environmental and social impacts. Most
fires in Africa are anthropogenic and occur during the late dry season, but their dynamics and
effects remain understudied.
The main objective of this research is to understand the floristic composition, carbon
storage, woody cover and fire regime of the mesic savannas of the Bateke Plateau. The
Bateke Plateau is savanna-forest mosaic ecosystem, situated mainly in the Republic of Congo,
with sandy Kalahari soils and enough precipitation for potential forest establishment (1600
mm/yr). Despite occupying 89,800 km2, its ecology and ecosystem functions are poorly
understood. This study combines two approaches: firstly experimental, setting up long term
field experiments where the fire regime is manipulated, and then observational, using
remote sensing to estimate the carbon storage and study the past history of the fire regime
in the region. I established four large (25 ha) plots at two savanna sites, measured their
carbon stocks, spatial structure and floristic composition, and applied different annual fire
treatments (early and late dry season burns). These treatments were applied annually during
3 years (2015, 2016 and 2017), and the plots were re-measured every year to estimate tree
demographic rates and the identification of the key processes that impact them, including
fire and competition. Field data were combined with satellite radar data from ALOS PALSAR,
and the fire products of the MODIS satellites, to estimate carbon stocks and fire regimes for
the entire Bateke Plateau. I also analyse the underlying biophysical and anthropogenic
processes that influence the patterns in Above-Ground Woody Biomass (AGWB) and their
spatial variability in the Bateke landscape.
The total plant carbon stocks (above-ground and below-ground) were low, averaging
only 6.5 ± 0.3 MgC/ha, with grass representing over half the biomass. Soil organic matter
dominate the ecosystem carbon stocks, with 16.7 ± 0.9 Mg/ha found in the top 20 cm alone.
We identified 49 plant species (4 trees, 13 shrubs, 4 sedges, 17 forbs and 11 grass species),
with a tree hyperdominance of Hymenocardia acida, and a richer herbaceous species
composition. These savannas showed evidence of tree clustering, and also indications of
tree-tree competition. Trees had low growth rates (averaging 1.21 mm/yr), and mortality was
relatively low (3.24 %/yr) across all plots. The experiment showed that late dry season fires
significantly reduced tree growth compared to early dry season fires, but also reduced stem
mortality rates. Results show that these mesic savannas had very low tree biomass, with tree
cover held far below its climate potential closed-canopy maximum, likely due to nutrient
poor sandy soils and frequent fires.
Results from the remote sensing analysis indicated that multiple explanatory
variables had a significant effect on AGWB in the Bateke Plateau. Overall, the frequency of
fire had the largest impact on AGWB (with higher fire frequency resulting in lower AGWB),
with sand content the next most important explanatory variable (with more sand reducing
AGWB). Fires in the Bateke are very frequent, and show high seasonality. The proportion of
fires that occurred in the late dry season, though smaller predictor, was also more important
than other factors (including soil carbon proportion, whether or not the savanna area was in
a protected area, annual rainfall, or distance to the nearest town, river or road), with a larger
proportion of late dry season fires associated with a small increase in AGWB. The results give
pointers for management of the savannas of the Bateke Plateau, as well as improving our
understanding of vegetation dynamics in this understudied ecosystem and help orient policy
and conservation
Temporal changes in the epidemiology, management, and outcome from acute respiratory distress syndrome in European intensive care units: a comparison of two large cohorts
Background: Mortality rates for patients with ARDS remain high. We assessed temporal changes in the epidemiology and management of ARDS patients requiring invasive mechanical ventilation in European ICUs. We also investigated the association between ventilatory settings and outcome in these patients. Methods: This was a post hoc analysis of two cohorts of adult ICU patients admitted between May 1–15, 2002 (SOAP study, n = 3147), and May 8–18, 2012 (ICON audit, n = 4601 admitted to ICUs in the same 24 countries as the SOAP study). ARDS was defined retrospectively using the Berlin definitions. Values of tidal volume, PEEP, plateau pressure, and FiO2 corresponding to the most abnormal value of arterial PO2 were recorded prospectively every 24 h. In both studies, patients were followed for outcome until death, hospital discharge or for 60 days. Results: The frequency of ARDS requiring mechanical ventilation during the ICU stay was similar in SOAP and ICON (327[10.4%] vs. 494[10.7%], p = 0.793). The diagnosis of ARDS was established at a median of 3 (IQ: 1–7) days after admission in SOAP and 2 (1–6) days in ICON. Within 24 h of diagnosis, ARDS was mild in 244 (29.7%), moderate in 388 (47.3%), and severe in 189 (23.0%) patients. In patients with ARDS, tidal volumes were lower in the later (ICON) than in the earlier (SOAP) cohort. Plateau and driving pressures were also lower in ICON than in SOAP. ICU (134[41.1%] vs 179[36.9%]) and hospital (151[46.2%] vs 212[44.4%]) mortality rates in patients with ARDS were similar in SOAP and ICON. High plateau pressure (> 29 cmH2O) and driving pressure (> 14 cmH2O) on the first day of mechanical ventilation but not tidal volume (> 8 ml/kg predicted body weight [PBW]) were independently associated with a higher risk of in-hospital death. Conclusion: The frequency of and outcome from ARDS remained relatively stable between 2002 and 2012. Plateau pressure > 29 cmH2O and driving pressure > 14 cmH2O on the first day of mechanical ventilation but not tidal volume > 8 ml/kg PBW were independently associated with a higher risk of death. These data highlight the continued burden of ARDS and provide hypothesis-generating data for the design of future studies
The clinical relevance of oliguria in the critically ill patient : Analysis of a large observational database
Funding Information: Marc Leone reports receiving consulting fees from Amomed and Aguettant; lecture fees from MSD, Pfizer, Octapharma, 3 M, Aspen, Orion; travel support from LFB; and grant support from PHRC IR and his institution. JLV is the Editor-in-Chief of Critical Care. The other authors declare that they have no relevant financial interests. Publisher Copyright: © 2020 The Author(s). Copyright: Copyright 2020 Elsevier B.V., All rights reserved.Background: Urine output is widely used as one of the criteria for the diagnosis and staging of acute renal failure, but few studies have specifically assessed the role of oliguria as a marker of acute renal failure or outcomes in general intensive care unit (ICU) patients. Using a large multinational database, we therefore evaluated the occurrence of oliguria (defined as a urine output 16 years) patients in the ICON audit who had a urine output measurement on the day of admission were included. To investigate the association between oliguria and mortality, we used a multilevel analysis. Results: Of the 8292 patients included, 2050 (24.7%) were oliguric during the first 24 h of admission. Patients with oliguria on admission who had at least one additional 24-h urine output recorded during their ICU stay (n = 1349) were divided into three groups: transient - oliguria resolved within 48 h after the admission day (n = 390 [28.9%]), prolonged - oliguria resolved > 48 h after the admission day (n = 141 [10.5%]), and permanent - oliguria persisting for the whole ICU stay or again present at the end of the ICU stay (n = 818 [60.6%]). ICU and hospital mortality rates were higher in patients with oliguria than in those without, except for patients with transient oliguria who had significantly lower mortality rates than non-oliguric patients. In multilevel analysis, the need for RRT was associated with a significantly higher risk of death (OR = 1.51 [95% CI 1.19-1.91], p = 0.001), but the presence of oliguria on admission was not (OR = 1.14 [95% CI 0.97-1.34], p = 0.103). Conclusions: Oliguria is common in ICU patients and may have a relatively benign nature if only transient. The duration of oliguria and need for RRT are associated with worse outcome.publishersversionPeer reviewe
Rethinking teachers' professional development in Malta: agenda for the twenty-first century
Determining Greenhouse Gas Emissions and Removals Associated with Land-Use and Land-Cover Change
Health Related Quality of Life And Health Care Utilization in Primary Care Patients With Moderate/Persistent Severity Asthma
Depressive status explains a significant amount of the variance in COPD assessment test (CAT) scores
Marc Miravitlles,1 Jesús Molina,2 José Antonio Quintano,3 Anna Campuzano,4 Joselín Pérez,4 Carlos Roncero5 On behalf of the DEPREPOC study investigators 1Department of Pneumology, Hospital Universitari Vall d’Hebron, CIBER de Enfermedades Respiratorias (CIBERES), Barcelona, Spain; 2Centro de Salud Francia, Dirección Asistencial Oeste, Madrid, Spain; 3Centro de Salud Lucena I, Lucena, Cordoba, Spain; 4Medical Department Grupo Ferrer, Barcelona, Spain; 5Psychiatric Service, University of Salamanca Health Care Complex, Institute of Biomedicine of Salamanca, University of Salamanca, Salamanca, Spain Background: COPD assessment test (CAT) is a short, easy-to-complete health status tool that has been incorporated into the multidimensional assessment of COPD in order to guide therapy; therefore, it is important to understand the factors determining CAT scores. Methods: This is a post hoc analysis of a cross-sectional, observational study conducted in respiratory medicine departments and primary care centers in Spain with the aim of identifying the factors determining CAT scores, focusing particularly on the cognitive status measured by the Mini-Mental State Examination (MMSE) and levels of depression measured by the short Beck Depression Inventory (BDI). Results: A total of 684 COPD patients were analyzed; 84.1% were men, the mean age of patients was 68.7 years, and the mean forced expiratory volume in 1 second (%) was 55.1%. Mean CAT score was 21.8. CAT scores correlated with the MMSE score (Pearson’s coefficient r=-0.371) and the BDI (r=0.620), both p<0.001. In the multivariate analysis, the usual COPD severity variables (age, dyspnea, lung function, and comorbidity) together with MMSE and BDI scores were significantly associated with CAT scores and explained 45% of the variability. However, a model including only MMSE and BDI scores explained up to 40% and BDI alone explained 38% of the CAT variance. Conclusion: CAT scores are associated with clinical variables of severity of COPD. However, cognitive status and, in particular, the level of depression explain a larger percentage of the variance in the CAT scores than the usual COPD clinical severity variables. Keywords: COPD, CAT, Mini-Mental State Examination, MMSE, Beck Depression Inventory, BD
Floristic evidence for alternative biome states in tropical Africa
The idea that tropical forest and savanna are alternative states is crucial to how we manage these biomes and predict their future under global change. Large-scale empirical evidence for alternative stable states is limited, however, and comes mostly from the multimodal distribution of structural aspects of vegetation.
These approaches have been criticized, as structure alone cannot separate out wetter savannas from drier forests for example, and there are also technical challenges to mapping vegetation structure in unbiased ways. Here, we develop an alternative approach to delimit the climatic envelope of the two biomes in Africa using tree species lists gathered for a large number of forest and savanna sites distributed across the continent. Our analyses confirm extensive climatic overlap of forest and savanna, supporting the alternative stable states hypothesis for Africa, and this result is corroborated by paleoecological evidence. Further, we find the two biomes to have highly divergent tree species compositions and to represent alternative compositional states. This allowed us to classify tree species as forest vs. savanna specialists, with some generalist species that span both biomes. In conjunction with georeferenced herbarium records, we mapped the forest and savanna distributions across Africa and quantified their environmental limits, which are primarily related to precipitation and seasonality, with a secondary contribution of fire.
These results are important for the ongoing efforts to restore African ecosystems, which depend on accurate biome maps to set appropriate targets for the restored states but also provide empirical evidence for broad-scale bistability