Total Suspended Solids (TSS) and chlorophyll-a concentration are two critical parameters to monitor water quality. Since directly collecting samples for laboratory analysis can be expensive, this paper presents a methodology estimate information through remote sensing Machine Learning (ML) techniques. TSS optically active components, therefore enabling measurement by sensing. Two study cases in distinct bodies performed, those use different spatial resolution data from Sentinel-2 spectral...

Background Road traffic injuries (RTI) are a major public health epidemic killing thousands of people daily. Low and middle-income countries, such as Brazil, have the highest annual rates road fatalities. In order to improve safety, this study mapped fatalities on Brazilian highway determine main environmental factors affecting Methods Findings Four techniques were utilized identify analyze RTI hotspots. We used spatial analysis by points applying kernel density estimator, wavelet hot...

A rapid increase in atmospheric water vapour is a fundamental ingredient for many intense rainfall events. High‐frequency precipitable (PWV) estimates (1 min) from Global Positioning System (GPS) meteorological site are evaluated this paper events during the CHUVA Vale field campaign Brazil (November and December 2011) which precipitation of differing intensities spatial dimensions, as observed by an X‐band radar, were explored. sharp GPS‐PWV before more was found termed “jumps.” These jumps...

The objective was to analyze the impact of Brazilian Traffic Code and Law Against Drinking Driving on mortality from traffic accidents in State Paraná, Brazil, 1980 2014. This an ecological time series study residents 15 49 years age, stratified by sex, categories victims, with data Mortality Information System. trend used a segmented linear regression model Cochrane-Orcutt iterative procedure. assumption independence residuals verified correlograms Box-Pierce test. highest rates during...

The concentration of suspended solids in water is one the quality parameters that can be recovered using remote sensing data. This paper investigates data obtained a sensor coupled to an unmanned aerial vehicle (UAV) order estimate lake southern Brazil based on relation spectral images and limnological samples underwent laboratory analysis determine total (TSS). UAV were orthorectified georeferenced so values referring near, green, blue infrared channels collected at each sampling point...

The composition of a Brazilian green propolis ethanolic extract (Et‐Bra) and its effect on Trypanosoma cruzi trypomastigotes other pathogenic microorganisms have already been reported. Here, we further investigated Et‐Bra targets in T. experimental infection mice. IC 50 /4 days for inhibition amastigote proliferation was 8.5 ± 1.8 μ g mL −1 , with no damage to the host cells. In epimastigotes induced alterations reservosomes, Golgi complex mitochondrion. These effects were confirmed by flow...

Objectives: Aromatic diamidines have been successfully used to combat a wide range of parasites that cause important human infections. One such compound is furamidine (DB75) and we recently reported one its analogues, an N-phenyl analogue (DB569), exhibits higher trypanocidal dose time-dependent effects against different forms Trypanosoma cruzi as compared with DB75. Our present aim was investigate the efficacy DB569 in T. mouse model.

The identification of fractures and discontinuities has great importance on the fluid flow estimation in hydrocarbon reservoirs since they influence properties porosity permeability. Due to inaccessibility sparsity reservoir data, fracture characterization is generally assessed through study outcrop analogues using remote sensing or <i>situ</i> observations by a specialist. Considering methods, unmanned Aerial Vehicle (UAV) acquisition combined with Structure from Motion (SfM) photogrammetry...

The aim of this study is to investigate the impact rotavirus vaccine on hospitalization rates for acute diarrhea in children younger than 5 years old after introduction 2006. A descriptive analytical observational was carried out occurred between 2000 and 2011 22 Regional Health Centers Paraná State, Brazil. effect assessed by applying SARIMA/Box-Jenkins time series methodology intervention analysis, which allows verifying slopes are different estimating magnitude these effects five age, age...

Fractures greatly impact hydrocarbon exploration as they modify fluid flow properties within reservoir rocks, creating an interconnected network. The reservoirs are often difficult to assess, and the methods employed in acquiring information from these locations offer too sparse data or have a low spatial resolution. Otherwise, outcrops allow fracture characterization directly field using 2D 3D digital representations of outcrops. These networks, usually related fractal propagation power-law...

Abstract. A rapid increase in atmospheric water vapor is a fundamental ingredient for many intense rainfall events. High-frequency precipitable (PWV) estimates from Global Positioning System meteorological site (GPS) are evaluated here events during the CHUVA Vale field campaign Brazil (November–December 2011), which precipitation of differing intensities and spatial dimensions, as observed by an X-band radar, have been explored. wavelet cross-correlation analysis shows that there important...

The Total Electron Content (TEC) derived from Global Navigation Satellite System (GNSS) data processing has been used as a tool for monitoring earthquakes. purpose of this study is to bring an alternative approach the prediction earthquakes and determine their magnitudes based on Artificial Neural Networks (ANN) ionospheric disturbances. For this, Vertical (VTEC) National Oceanic Atmosphere Administration (NOAA) were train ANN. Results show that ANN process achieved accuracy 85.71% in...

Due to the ability of time-frequency location, wavelet transform hasbeen applied in several areas research involving signal analysis and processing,often replacing conventional Fourier transform. The discrete transformhas great application potential, being an important tool compression,signal image processing, smoothing denoising data. It also presentsadvantages over continuous version because its easy implementation, goodcomputational performance perfect reconstruction upon...

Studies show that educational interventions improve glycemic control in patients with diabetes mellitus (DM), reducing the occurrence of complications associated disease. To evaluate effects a mobile DM consultancy on clinical and laboratory parameters, disease knowledge, quality life type 2 (T2DM) at primary health care network Brazil. Randomized trial conducted city southern Brazil 52 T2DM receiving setting. The intervention lasted for 6 months consisted follow-up an endocrinologist (five...

Fractures affect the intrinsic properties of permeability and porosity reservoir geobodies, making its network characterization an important task for fluid flow modeling. Direct acquisition data on reservoirs is labor-intensive generally produces sparse information. Thus, study analogue outcrops with similar characteristics often carried out by using unmanned aerial vehicle image digital photogrammetry. However, accurate automatic recognition fractures over outcrop images remains a...

Although GPS kinematic relative positioning can provide high accuracy, observables, like any other kind of measurement, are not free errors. Indeed, they have several kinds In this paper, we show how to construct a functional mathematical model within the context Kalman Filter in order eliminate most these Furthermore, discuss multipath effect, error modeled model, be corrected using proposed wavelet method. The behavior double difference mode is also demonstrated and analyzed aiming better...

Total suspended solids (TSS) and chlorophyll-a concentration are two critical parameters to monitor water quality. Since directly collecting samples for laboratory analysis can be expensive, the technique proposed in this paper takes another approach. TSS optically active components therefore enable measures through remote sensing. Using data from both Sentinel-2 spectral images analysis, an artificial neural network was trained predict of chlorophyll-a. The predictions were evaluated using...

This article proposes a technique named Printgrammetry, structured workflow that allows the extraction of 3-D models from Google Earth platform through combination image captures screen monitor with structure motion algorithms. was developed to help geologists and other geoscientists in acquiring photo-realistic outcrops natural landscapes big proportions without need field mapping expensive equipment. The methodology is detailed aiming permit easy reproducibility focused on achieving...