Miracle-dz/UniFAR-FTUs huggingface dataset:
A worldwide comparison of regional flood estimation methods and climate

Abstract A summary of the results of regional flood frequency analyses that have been carried out in many tropical and sub-tropical countries is presented. The results provide a set of flood estimation methods which should be of immediate usefulness in practical applications, bearing in mind the errors of generalization. By defining the representative values of the mean annual flood and of the flood frequency curves for each region, an attempt has been made to develop relationships between the methods and climatic characteristics. These show that adequate relationships can be obtained based solely on the median annual average rainfall and the median catchment area for the regions. In particular, the steepness of the regional flood frequency curve can be estimated reasonably well from these two parameters. The relationships confirm that, broadly speaking, for humid regions the “average” flood—the flood that occurs regularly every one or two years—is relatively large, but the flood frequency curve is not ve.
An Intelligent Mechanism to Explore a Two-Level Cache Hierarchy Considering Energy Consumption and Time Performance

Cache memory hierarchy contributes positively to system performance. Moreover, tuning cache architectures in platforms for embedded applications can dramatically reduce energy consumption. This paper presents an automated method for adjusting two-level cache memory hierarchy intended for data caches in order to reduce energy consumption and improve the performance of embedded applications. We propose an automated mechanism called TEMGA (Two-level cache Exploration Mechanism based on Genetic Algorithm), to determine the suitable cache hierarchy configuration by exploring a small part of search space. In our experiments, we applied the proposed mechanism to 12 different benchmarks from the MiBench suite. The results show an average reduction of about 15% in the energy consumption for data caches when compared to existing heuristics and a reduction of 5 times in the number of cycles needed to execute applications from Mibench Benchmark suite.
The Ionized Nuclear Environment in NGC 985 as seen by Chandra and BeppoSAX

We investigate the ionized environment of the Seyfert 1 galaxy NGC 985 with a new Chandra HETGS observation and an archival BeppoSAX observation. Both spectra exhibit strong residuals to a single-power-law model, indicating the presence of an ionized absorber and a soft excess. A detailed model over the Chandra data shows that the 0.6-8 keV intrinsic continuum can be well represented by a power law (Γ ≈ 1.6) plus a blackbody component (kT = 0.1 keV). Two absorption components are clearly required to fit the absorption features observed in the Chandra spectrum. The components have a difference of 29 in ionization parameter and 3 in column density. The presence of the low-ionization component is evidenced by an Fe M-shell unresolved transition array produced by charge states VII-XIII. The high-ionization phase is required by the presence of broad absorption features arising from several blends of Fe L-shell transitions (Fe XVII-XXII). A third highly ionized component might also be present, but the data do not allow us to constrain its properties. Although poorly constrained, the outflow velocities of the components (581 ± 206 km s-1 for the high-ionization phase and 197 ± 184 km s-1 for the low-ionization one) are consistent with each other and with the outflow velocities of the absorption components observed in the UV. In addition, the low-ionization component produces significant amounts of O VI, N V, and C IV, which suggests that a single outflow produces the UV and X-ray features. The broadband (0.1-100 keV) continuum in the BeppoSAX data can be parameterized by a power law (Γ ≈ 1.4), a blackbody (kT = 0.1 keV), and a high-energy cutoff (Ec ≈ 70 keV). An X-ray luminosity variation by a factor of 2.3 is observed between the BeppoSAX and Chandra observations (separated by almost 3 yr). Variability in the opacity of the absorbers is detected in response to the continuum variation, but while the colder component is consistent with a simple picture of photoionization equilibrium, the ionization state of the hotter component seems to increase, while the continuum flux drops. The most striking result in our analysis is that during both the Chandra and the BeppoSAX observations, the two absorbing components appear to have the same pressure. Thus, we suggest that the absorption arises from a multiphase wind. Such a scenario can explain the change in the opacity of both absorption components during the observations, but it requires that a third, hotter component be pressure-confining the two phases. Hence, our analysis points to a three-phase medium similar to the wind found in NGC 3783, and it further suggests that such a wind might be a common characteristic in active galactic nuclei. The pressure-confining scenario requires fragmentation of the confined phases into a large number of clouds.
Broadband Observations of the Afterglow of GRB 000926: Observing the Effect of Inverse Compton Scattering

GRB 000926 has one of the best-studied afterglows to date, with multiple X-ray observations, as well as extensive multifrequency optical and radio coverage. Broadband afterglow observations, spanning from X-ray to radio frequencies, provide a probe of the density structure of the circumburst medium, as well as of the ejecta energetics, geometry, and physical parameters of the relativistic blast wave resulting from the explosion. We present an analysis of Chandra X-Ray Observatory observations of this event, along with Hubble Space Telescope and radio monitoring data. We combine these data with ground-based optical and IR observations and fit the synthesized afterglow light curve using models where collimated ejecta expand into a surrounding medium. We find that we can explain the broadband light curve with reasonable physical parameters if the cooling is dominated by inverse Compton scattering. For this model, an excess due to inverse Compton scattering appears above the best-fit synchrotron spectrum in the X-ray band. No previous bursts have exhibited this component, and its observation would imply that the GRB exploded in a moderately dense (n ~ 30 cm-3) medium, consistent with a diffuse interstellar cloud environment.
Amphibians of Serra Bonita, southern Bahia: a new hotpoint within Brazil’s Atlantic Forest hotspot

Abstract We studied the amphibian community of the Private Reserve of Natural Heritage (RPPN) Serra Bonita, an area of 20 km2 with steep altitudinal gradients (200–950 m a.s.l.) located in the municipalities of Camacan and Pau-Brasil, southern Bahia State, Brazil. Data were obtained at 38 sampling sites (including ponds and transects within the forest and in streams), through active and visual and acoustic searches, pitfall traps, and opportunistic encounters. We recorded 80 amphibian species distributed in 15 families: Aromobatidae (1), Brachycephalidae (3), Bufonidae (4), Centrolenidae (2), Ceratophryidae (1), Craugastoridae (7), Eleutherodactylidae (2), Hemiphractidae (2), Hylidae (42), Hylodidae (1), Leptodactylidae (7), Microhylidae (3), Siphonopidae (1), Odontophrynidae (3) and Pipidae (1). Species richness was positively correlated with monthly rainfall. Near 36% of the species were found in strictly forest environments, 15% are endemic to Bahia State and 77.2% are endemic to the Atlantic Forest biome. The large species diversity of this small area, the high degree of endemism and the taxonomic and biogeographic significance turn the Serra Bonita mountain into a hotpoint for amphibians within Brazil’s Atlantic Forest hotspot.
Combination therapy targeting platelet activation and virus replication protects mice against lethal influenza pneumonia.

Excessive neutrophils recruited during influenza pneumonia contribute to severe lung pathology through induction of neutrophil extracellular traps (NETs) and release of extracellular histones. We have recently shown that activation of platelets during influenza enhances pulmonary microvascular thrombosis leading to vascular injury and hemorrhage. Emerging evidence indicates that activated platelets also interact with neutrophils forming neutrophil-platelet aggregates (NPAs), which contribute to tissue injury. Here, we examined neutrophil-platelet interactions and evaluated formation of NPAs during influenza pneumonia. We also evaluated the efficacy of clopidogrel (CLP), an antagonist of the ADP-P2Y12 platelet receptor, alone or in combination with an antiviral agent, oseltamivir against influenza infection in mice. Our studies demonstrate increased platelet activation and induction of NPAs in influenza-infected lungs and these NPAs lead to NETs release both in in vitro and in vivo. Further, neutrophil integrin macrophage-1 antigen (Mac-1) mediated platelet binding was critical in NPAs formation and NETs release. Administration of CLP reduced platelet activation and NPA formation, but did not protect mice against lethal-influenza challenge. However, administration of CLP together with oseltamivir improved survival in mice compared to oseltamivir-alone treatment. Combination treatment reduced lung pathology, neutrophil influx, NPAs, NETs release and inflammatory cytokine release in infected-lungs. Taken together, these studies provide first report that NPAs formed during influenza contribute to acute lung injury. Targeting both platelet activation in addition to virus replication could represent an effective therapeutic option for treatment of severe influenza pneumonia.
Multiple mutations and frameshifts are the hallmark of defective hPMS2 in pZ189-transfected human tumor cells

Two HeLa variants defective in the mismatch repair protein hPMS2 were isolated by selection for methylation tolerance. Neither variant expressed detectable hPMS2 protein as determined by western blotting. Cell extracts were defective in correcting a single base mispair and were unable to perform mismatch repair-dependent processing of a methylated DNA substrate. Correction of the repair defect and restoration of sensitivity to a methylating agent was achieved by introducing a wild-type copy of chromosome 7 on which the hPMS2 gene is located. Loss of hPMS2 function in the HeLa variants was associated with a 5-fold increase in mutation frequency in the supF gene of the pZ189 shuttle vector. Wild-type levels of mutagenesis were restored by the transferred chromosome 7. Comparisons of mutational spectra identified multiple base substitutions, frameshifts and, to a lesser extent, single base pair changes as the types of mutation which are selectively increased in a hPMS2-defective background. The location of multiple mutations and frameshifts indicates that misalignment-mediated mutagenesis could underlie most of these events. Thus the mutator phenotype associated with loss of hPMS2 most likely arises because of the failure to correct replication slippage errors. Our data also suggest that a considerable fraction of mutagenic intermediates are recognized by the hMutSbeta complex and processed via the hMLH1/hPMS2 heterodimer.
Effects of biogas slurry fertilization on fruit economic traits and soil nutrients of Camellia oleifera Abel

Camellia oleifera Abel (C. oleifera) absorb nutrients from surrounding soils and its yield is highly influenced by these nutrients and by fertilizer application. Thus, the soil nutrients play a central role in C. oleifera production. This study investigated the effects of biogas slurry applications on soil nutrients and economic traits of C. oleifera fruits. Five different amounts of biogas slurry (0, 10, 20, 30, or 40 kg/plant/year, three applications per year) were used as fertilizer for C. oleifera plants in 2015 and 2016. The nutrients of rhizosphere soil and the economic traits, including fruit yield, seed rate, and oil yield of C. oleifera fruit, were measured each year. The results showed that fertilization with biogas slurry significantly increased soil organic matter, available nitrogen (N), phosphorus (P), and potassium (K) both in 2015 and 2016. Increases in soil available N, P, and K were maximal in the highest slurry application group followed by the second highest application group. The oil yield correlated with the content of soil available P in both 2015 and 2016, and with soil organic matter in 2015. Fertilization with biogas slurry decreased the saturated fatty acid content in fruit but had no effect on the unsaturated fatty acid content. In conclusion, fertilization with biogas slurry increased rhizosphere soil nutrients and fruit economic traits of C. oleifera and rates of at least30 kg/plant/year had the most positive effects. This study expands the knowledge of fertilization with biogas slurry in C. oleifera production.
Severe tissue trauma triggers the autoimmune state systemic lupus erythematosus in the MRL/++ lupus-prone mouse

Tissue damage associated with a severe injury can result in profound inflammatory responses that may trigger autoimmune development in lupus-prone individuals. In this study, we investigated the role of a large full-thickness cutaneous burn injury on the early onset of autoimmune disease in lupus-prone MRL/++ mice. MRL/++ mice (chronic model) exhibit autoimmune symptoms at >70 weeks of age, whereas MRL/-Faslpr mice (acute model) develop autoimmune disease in 17–22 weeks due to a lymphoproliferative mutation. Autoimmune disease developed in MRL/++ mice (4–15 weeks post injury) is manifested by skin lesions, vasculitis, epidermal ulcers, cellular infiltration, splenomegaly, lymphadenopathy, hypergammaglobulinemia, elevated autoantibodies and renal pathologies including proteinuria, glomerulonephritis and immune complex deposition; complications that contribute to reduced survival. Transcription studies of wound margin tissue show a correlation between the pathogenic effects of dysregulated IL-1β, IL-6, TNF-α and PGE2 synthesis during early wound healing and early onset of autoimmune disease. Interestingly, MRL/++ mice with healed wounds (30–40 days post burn) strongly rejected skin isografts. Conversely, skin isografts transplanted onto naive age-matched MRL/++ littermates achieved long-term survival. Collectively, these findings suggest that traumatic injury exacerbates inflammatory skin disease and severe multi-organ pathogenesis in lupus-prone mice.
Submatrices of Hadamard matrices: complementation results

Two submatrices $A,D$ of a Hadamard matrix $H$ are called complementary if, up to a permutation of rows and columns, $H=[^A_C{\ }^B_D]$. We find here an explicit formula for the polar decomposition of $D$. As an application, we show that under suitable smallness assumptions on the size of $A$, the complementary matrix $D$ is an almost Hadamard sign pattern, i.e. its rescaled polar part is an almost Hadamard matrix.
Evaluating citizen science data for forecasting species responses to national forest management

Abstract The extensive spatial and temporal coverage of many citizen science datasets (CSD) makes them appealing for use in species distribution modeling and forecasting. However, a frequent limitation is the inability to validate results. Here, we aim to assess the reliability of CSD for forecasting species occurrence in response to national forest management projections (representing 160,366 km2) by comparison against forecasts from a model based on systematically collected colonization–extinction data. We fitted species distribution models using citizen science observations of an old‐forest indicator fungus Phellinus ferrugineofuscus. We applied five modeling approaches (generalized linear model, Poisson process model, Bayesian occupancy model, and two MaxEnt models). Models were used to forecast changes in occurrence in response to national forest management for 2020‐2110. Forecasts of species occurrence from models based on CSD were congruent with forecasts made using the colonization–extinction model based on systematically collected data, although different modeling methods indicated different levels of change. All models projected increased occurrence in set‐aside forest from 2020 to 2110: the projected increase varied between 125% and 195% among models based on CSD, in comparison with an increase of 129% according to the colonization–extinction model. All but one model based on CSD projected a decline in production forest, which varied between 11% and 49%, compared to a decline of 41% using the colonization–extinction model. All models thus highlighted the importance of protected old forest for P. ferrugineofuscus persistence. We conclude that models based on CSD can reproduce forecasts from models based on systematically collected colonization–extinction data and so lead to the same forest management conclusions. Our results show that the use of a suite of models allows CSD to be reliably applied to land management and conservation decision making, demonstrating that widely available CSD can be a valuable forecasting resource.
A model of sensory neural responses in the presence of unknown modulatory inputs

Neural responses are highly variable, and some portion of this variability arises from fluctuations in modulatory factors that alter their gain, such as adaptation, attention, arousal, expected or actual reward, emotion, and local metabolic resource availability. Regardless of their origin, fluctuations in these signals can confound or bias the inferences that one derives from spiking responses. Recent work demonstrates that for sensory neurons, these effects can be captured by a modulated Poisson model, whose rate is the product of a stimulus-driven response function and an unknown modulatory signal. Here, we extend this model, by incorporating explicit modulatory elements that are known (specifically, spike-history dependence, as in previous models), and by constraining the remaining latent modulatory signals to be smooth in time. We develop inference procedures for fitting the entire model, including hyperparameters, via evidence optimization, and apply these to simulated data, and to responses of ferret auditory midbrain and cortical neurons to complex sounds. We show that integrating out the latent modulators yields better (or more readily-interpretable) receptive field estimates than a standard Poisson model. Conversely, integrating out the stimulus dependence yields estimates of the slowly-varying latent modulators.
Exploring the role of genetic confounding in the association between maternal and offspring body mass index: evidence from three birth cohorts

Abstract Background Maternal pre-pregnancy body mass index (BMI) is positively associated with offspring birth weight (BW) and BMI in childhood and adulthood. Each of these associations could be due to causal intrauterine effects, or confounding (genetic or environmental), or some combination of these. Here we estimate the extent to which the association between maternal BMI and offspring body size is explained by offspring genotype, as a first step towards establishing the importance of genetic confounding. Methods We examined the associations of maternal pre-pregnancy BMI with offspring BW and BMI at 1, 5, 10 and 15 years, in three European birth cohorts (n ≤11 498). Bivariate Genomic-relatedness-based Restricted Maximum Likelihood implemented in the GCTA software (GCTA-GREML) was used to estimate the extent to which phenotypic covariance was explained by offspring genotype as captured by common imputed single nucleotide polymorphisms (SNPs). We merged individual participant data from all cohorts, enabling calculation of pooled estimates. Results Phenotypic covariance (equivalent here to Pearson’s correlation coefficient) between maternal BMI and offspring phenotype was 0.15 [95% confidence interval (CI): 0.13, 0.17] for offspring BW, increasing to 0.29 (95% CI: 0.26, 0.31) for offspring 15 year BMI. Covariance explained by offspring genotype was negligible for BW [–0.04 (95% CI: –0.09, 0.01)], but increased to 0.12 (95% CI: 0.04, 0.21) at 15 years, which is equivalent to 43% (95% CI: 15%, 72%) of the phenotypic covariance. Sensitivity analyses using weight, BMI and ponderal index as the offspring phenotype at all ages showed similar results. Conclusions Offspring genotype explains a substantial fraction of the covariance between maternal BMI and offspring adolescent BMI. This is consistent with a potentially important role for genetic confounding as a driver of the maternal BMI–offspring BMI association.
Use of health services by the population living in contaminated areas in the region of the Santos and São Vicente estuarine system, Brazil

ABSTRACT Objective: To relate the socio-demographic profile with access to health services of the population living in environmentally degraded areas in an estuary region. Study design: A sectional field study of 8819 people, evaluating three contaminated areas of São Vicente. Methods: Households were divided by studied area. A structured and pre-tested questionnaire was applied to obtain the data. A probabilistic sample was used. The prevalence of each of the outcomes of interest by area was calculated. To verify the existence of an association between the outcomes of interest and other variables (qualitative), by area, a descriptive analysis and to compare percentages and a comparison test was used between two proportions, a Chi-square test and/or a Fisher’s exact test and a Kruska-wallis and Dunn multiple comparison were used as well. The significance level was 5%. Results: Most residents (94%) reported the use of public health services at least once a year (p < 0.001), mainly through the Basic Health Units (BHU) (p < 0.001). Most of the studied population (65%) did not have private health insurance and their schooling was basically restricted to primary education (p < 0.001). The predominant family income (70%) in the three areas was between one and five minimum wages (p < 0.001), with a higher incidence of people receiving one to three minimum wages at the time. The demand for health services was not associated with education or income. Conclusion: The population of the regions analysed heavily rely on the Unified Health System – SUS, but there was no association between income and frequency of health services and there was also no association between education and use of health services.
Beam Steering by Lag Synchronization in Ultra-Wide Bandwidth , Chaotic Arrays

We introduce a new method for beam steering in ultra-wide bandwidth arrays. The approach avoids the need for tunable microwave delays by using lag synchronization in a linear array of locally coupled chaotic oscillators. Steering is controlled by tuning the natural frequency of the oscillators and is analytically equivalent to first order to using explicit delay elements. Using chaotic rf circuits oscillating at ~20MHz, we show both lag and lead synchronization can be practically controlled in rf arrays.