Adsorção de íons Cu(II) sobre superfícies de sílicas gel modificadas com 4-amino-2-mercaptopirimidina e com 2-mercaptopirimidina

Pós-graduação em Ciência dos Materiais - FEIS

Desenvolvimento e teste de nanocatalisadores a base de Pd para a redução de oxigênio

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Preparação de aluminas porosas hierarquicamente estruturadas

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Projeto de um parque eólico com a utilização de sistema de informação geográfica

Pós-graduação em Engenharia Mecânica - FEG

Preventive effect of a high fluoride toothpaste and arginine-carbonate toothpaste on dentinal tubules exposure followed by acid challenge: a dentine permeability evaluation

Coordenação de Aperfeicoamento de Pessoal de Nivel Superior (CAPES)

Obtenção de nanofibras de carbono a partir do processo de eletrofiação

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Classification and regression tree (CART) model to predict pulmonary tuberculosis in hospitalized patients

Background: Tuberculosis (TB) remains a public health issue worldwide. The lack of specific clinical symptoms to diagnose TB makes the correct decision to admit patients to respiratory isolation a difficult task for the clinician. Isolation of patients without the disease is common and increases health costs. Decision models for the diagnosis of TB in patients attending hospitals can increase the quality of care and decrease costs, without the risk of hospital transmission. We present a predictive model for predicting pulmonary TB in hospitalized patients in a high prevalence area in order to contribute to a more rational use of isolation rooms without increasing the risk of transmission. Methods: Cross sectional study of patients admitted to CFFH from March 2003 to December 2004. A classification and regression tree (CART) model was generated and validated. The area under the ROC curve (AUC), sensitivity, specificity, positive and negative predictive values were used to evaluate the performance of model. Validation of the model was performed with a different sample of patients admitted to the same hospital from January to December 2005. Results: We studied 290 patients admitted with clinical suspicion of TB. Diagnosis was confirmed in 26.5% of them. Pulmonary TB was present in 83.7% of the patients with TB (62.3% with positive sputum smear) and HIV/AIDS was present in 56.9% of patients. The validated CART model showed sensitivity, specificity, positive predictive value and negative predictive value of 60.00%, 76.16%, 33.33%, and 90.55%, respectively. The AUC was 79.70%. Conclusions: The CART model developed for these hospitalized patients with clinical suspicion of TB had fair to good predictive performance for pulmonary TB. The most important variable for prediction of TB diagnosis was chest radiograph results. Prospective validation is still necessary, but our model offer an alternative for decision making in whether to isolate patients with clinical suspicion of TB in tertiary health facilities in countries with limited resources.

Elastic Propagation in random media: applications to the imaging of volcano structures

High-frequency seismograms contain features that reflect the random inhomogeneities of the earth. In this work I use an imaging method to locate the high contrast small- scale heterogeneity respect to the background earth medium. This method was first introduced by Nishigami (1991) and than applied to different volcanic and tectonically active areas (Nishigami, 1997, Nishigami, 2000, Nishigami, 2006). The scattering imaging method is applied to two volcanic areas: Campi Flegrei and Mt. Vesuvius. Volcanic and seismological active areas are often characterized by complex velocity structures, due to the presence of rocks with different elastic properties. I introduce some modifications to the original method in order to make it suitable for small and highly complex media. In particular, for very complex media the single scattering approximation assumed by Nishigami (1991) is not applicable as the mean free path becomes short. The multiple scattering or diffusive approximation become closer to the reality. In this thesis, differently from the ordinary Nishigami’s method (Nishigami, 1991), I use the mean of the recorded coda envelope as reference curve and calculate the variations from this average envelope. In this way I implicitly do not assume any particular scattering regime for the "average" scattered radiation, whereas I consider the variations as due to waves that are singularly scattered from the strongest heterogeneities. The imaging method is applied to a relatively small area (20 x 20 km), this choice being justified by the small length of the analyzed codas of the low magnitude earthquakes. I apply the unmodified Nishigami’s method to the volcanic area of Campi Flegrei and compare the results with the other tomographies done in the same area. The scattering images, obtained with frequency waves around 18 Hz, show the presence of high scatterers in correspondence with the submerged caldera rim in the southern part of the Pozzuoli bay. Strong scattering is also found below the Solfatara crater, characterized by the presence of densely fractured, fluid-filled rocks and by a strong thermal anomaly. The modified Nishigami’s technique is applied to the Mt. Vesuvius area. Results show a low scattering area just below the central cone and a high scattering area around it. The high scattering zone seems to be due to the contrast between the high rigidity body located beneath the crater and the low rigidity materials located around it. The central low scattering area overlaps the hydrothermal reservoirs located below the central cone. An interpretation of the results in terms of geological properties of the medium is also supplied, aiming to find a correspondence of the scattering properties and the geological nature of the material. A complementary result reported in this thesis is that the strong heterogeneity of the volcanic medium create a phenomenon called "coda localization". It has been verified that the shape of the seismograms recorded from the stations located at the top of the volcanic edifice of Mt. Vesuvius is different from the shape of the seismograms recorded at the bottom. This behavior is justified by the consideration that the coda energy is not uniformly distributed within a region surrounding the source for great lapse time.

Opportunities and risks in reconciling conservation and development in a post-Soviet setting: The example of the Tajik National Park

In the Tajik National Park (TNP) - a high-altitude area of nearly 26,000 km2 in Central Asia - past and present human activities visibly contrast with standard conservation requirements for protected areas worldwide. This paper focuses on resource management, and highlights three major processes that threaten both the sustainable use of natural resources and the preservation of nature per se: (i) intensified use of biomass as a fuel resource, (ii) inappropriate pasture management, and (iii) increased pressure on endangered wildlife. From analysis of these processes - their historical background, root causes, trends and interrelationships - options and needs to improve park management are proposed and discussed.

Development and testing of an asymmetric capacitor with a nickel-carbon foam positive electrode

Electrochemical capacitors (ECs), also known as supercapacitors or ultracapacitors, are energy storage devices with properties between batteries and conventional capacitors. EC have evolved through several generations. The trend in EC is to combine a double-layer electrode with a battery-type electrode in an asymmetric capacitor configuration. The double-layer electrode is usually an activated carbon (AC) since it has high surface area, good conductivity, and relatively low cost. The battery-type electrode usually consists of PbO2 or Ni(OH)2. In this research, a graphitic carbon foam was impregnated with Co-substituted Ni(OH)2 using electrochemical deposition to serve as the positive electrode in the asymmetric capacitor. The purpose was to reduce the cost and weight of the ECs while maintaining or increasing capacitance and gravimetric energy storage density. The XRD result indicated that the nickel-carbon foam electrode was a typical α-Ni(OH)2. The specific capacitance of the nickel-carbon foam electrode was 2641 F/g at 5 mA/cm2, higher than the previously reported value of 2080 F/g for a 7.5% Al-substituted α-Ni(OH)2 electrode. Three different ACs (RP-20, YP-50F, and Ketjenblack EC-600JD) were evaluated through their morphology and electrochemical performance to determine their suitability for use in ECs. The study indicated that YP-50F demonstrated the better overall performance because of the combination of micropore and mesopore structures. Therefore, YP-50F was chosen to combine with the nickel-carbon foam electrode for further evaluation. Six cells with different mass ratios of negative to positive active mass were fabricated to study the electrochemical performance. Among the different mass ratios, the asymmetric capacitor with the mass ratio of 3.71 gave the highest specific energy and specific power, 24.5 W.h/kg and 498 W/kg, respectively.

DUAL ENERGY COMPUTED TOMOGRAPHY FOR PROTON THERAPY TREATMENT PLANNING

Proton radiation therapy is gaining popularity because of the unique characteristics of its dose distribution, e.g., high dose-gradient at the distal end of the percentage-depth-dose curve (known as the Bragg peak). The high dose-gradient offers the possibility of delivering high dose to the target while still sparing critical organs distal to the target. However, the high dose-gradient is a double-edged sword: a small shift of the highly conformal high-dose area can cause the target to be substantially under-dosed or the critical organs to be substantially over-dosed. Because of that, large margins are required in treatment planning to ensure adequate dose coverage of the target, which prevents us from realizing the full potential of proton beams. Therefore, it is critical to reduce uncertainties in the proton radiation therapy. One major uncertainty in a proton treatment is the range uncertainty related to the estimation of proton stopping power ratio (SPR) distribution inside a patient. The SPR distribution inside a patient is required to account for tissue heterogeneities when calculating dose distribution inside the patient. In current clinical practice, the SPR distribution inside a patient is estimated from the patient’s treatment planning computed tomography (CT) images based on the CT number-to-SPR calibration curve. The SPR derived from a single CT number carries large uncertainties in the presence of human tissue composition variations, which is the major drawback of the current SPR estimation method. We propose to solve this problem by using dual energy CT (DECT) and hypothesize that the range uncertainty can be reduced by a factor of two from currently used value of 3.5%. A MATLAB program was developed to calculate the electron density ratio (EDR) and effective atomic number (EAN) from two CT measurements of the same object. An empirical relationship was discovered between mean excitation energies and EANs existing in human body tissues. With the MATLAB program and the empirical relationship, a DECT-based method was successfully developed to derive SPRs for human body tissues (the DECT method). The DECT method is more robust against the uncertainties in human tissues compositions than the current single-CT-based method, because the DECT method incorporated both density and elemental composition information in the SPR estimation. Furthermore, we studied practical limitations of the DECT method. We found that the accuracy of the DECT method using conventional kV-kV x-ray pair is susceptible to CT number variations, which compromises the theoretical advantage of the DECT method. Our solution to this problem is to use a different x-ray pair for the DECT. The accuracy of the DECT method using different combinations of x-ray energies, i.e., the kV-kV, kV-MV and MV-MV pair, was compared using the measured imaging uncertainties for each case. The kV-MV DECT was found to be the most robust against CT number variations. In addition, we studied how uncertainties propagate through the DECT calculation, and found general principles of selecting x-ray pairs for the DECT method to minimize its sensitivity to CT number variations. The uncertainties in SPRs estimated using the kV-MV DECT were analyzed further and compared to those using the stoichiometric method. The uncertainties in SPR estimation can be divided into five categories according to their origins: the inherent uncertainty, the DECT modeling uncertainty, the CT imaging uncertainty, the uncertainty in the mean excitation energy, and SPR variation with proton energy. Additionally, human body tissues were divided into three tissue groups – low density (lung) tissues, soft tissues and bone tissues. The uncertainties were estimated separately because their uncertainties were different under each condition. An estimate of the composite range uncertainty (2s) was determined for three tumor sites – prostate, lung, and head-and-neck, by combining the uncertainty estimates of all three tissue groups, weighted by their proportions along typical beam path for each treatment site. In conclusion, the DECT method holds theoretical advantages in estimating SPRs for human tissues over the current single-CT-based method. Using existing imaging techniques, the kV-MV DECT approach was capable of reducing the range uncertainty from the currently used value of 3.5% to 1.9%-2.3%, but it is short to reach our original goal of reducing the range uncertainty by a factor of two. The dominant source of uncertainties in the kV-MV DECT was the uncertainties in CT imaging, especially in MV CT imaging. Further reduction in beam hardening effect, the impact of scatter, out-of-field object etc. would reduce the Hounsfeld Unit variations in CT imaging. The kV-MV DECT still has the potential to reduce the range uncertainty further.

Public service use by residents of Jackson Hinds Gardens before and after enrollment

Homelessness is associated with high use of public services such as health care and criminal justice services. Intervention designs to reverse homelessness have broadly fallen into two categories: either standard care which employs requisitely addressing the causes of homelessness, or housing first, which emphasizes provision of permanent housing without requisitely addressing the causes of homelessness. Multiple cities have recently commenced housing first interventions. Locally, Houston’s first housing first development is the Jackson Hinds Gardens project. The purpose of this study is to analyze the public service use of residents of housing first in Houston. Residents of Jackson Hinds Gardens who have been enrolled for at least 6 months were evaluated for public service use for an equal amount of time preceding and during their residence at Jackson Hinds. Resident interactions with county health services and criminal justice entities were determined by electronic database searches; these data were supplemented by life experience interview data. Service usage values pre- and post-enrollment at Jackson Hinds Gardens were compared by paired t-test analyses. We found that ER and inpatient usage decreased following enrollment in Jackson Hinds, although these reductions were not significant. In contrast, outpatient care and number of medications significantly increased following enrollment. These analyses inform on the effects of housing first in another major city, as well as informing the ethical considerations regarding housing first versus standard care. ^

La producción de leche orgánica en la región Puno : Una alternativa de desarrollo sostenible

El consumo de productos orgánicos viene creciendo en todo el mundo y la leche orgánica no es la excepción. En Puno, por sus características geográficas, culturales e históricas, la producción agropecuaria aún mantiene tecnologías de producción ancestrales, buscando el equilibrio con el medio ambiente, con un uso mínimo de fertilizantes y pesticidas, con lo que se muestra un enfoque en la sostenibilidad y una tendencia a producir orgánicamente. El objetivo de este trabajo fue determinar mediante una simulación la viabilidad económica y el riesgo de producir leche orgánica como una alternativa de desarrollo sostenible. Se consideró la producción por encima de los 3.000 metros de altura, área de 6,5 has, una vaca (criolla) por hectárea produciendo 10 litros de leche/día. Los indicadores económicos resultaron positivos: el VAN fue S/. 2.916,38, TIR 24, VAE S/. 866,33, ratio B/C S/. 1,48 (se aclaro en la metodología) y el período de recuperación de la inversión resultó de 5,88 años, evidenciando que la producción de leche orgánica es económicamente viable pero con riesgo elevado: la simulación de Monte Carlo mostró que existe 71,43 de probabilidad de no resultar viable

La producción de leche orgánica en la región Puno : Una alternativa de desarrollo sostenible

El consumo de productos orgánicos viene creciendo en todo el mundo y la leche orgánica no es la excepción. En Puno, por sus características geográficas, culturales e históricas, la producción agropecuaria aún mantiene tecnologías de producción ancestrales, buscando el equilibrio con el medio ambiente, con un uso mínimo de fertilizantes y pesticidas, con lo que se muestra un enfoque en la sostenibilidad y una tendencia a producir orgánicamente. El objetivo de este trabajo fue determinar mediante una simulación la viabilidad económica y el riesgo de producir leche orgánica como una alternativa de desarrollo sostenible. Se consideró la producción por encima de los 3.000 metros de altura, área de 6,5 has, una vaca (criolla) por hectárea produciendo 10 litros de leche/día. Los indicadores económicos resultaron positivos: el VAN fue S/. 2.916,38, TIR 24, VAE S/. 866,33, ratio B/C S/. 1,48 (se aclaro en la metodología) y el período de recuperación de la inversión resultó de 5,88 años, evidenciando que la producción de leche orgánica es económicamente viable pero con riesgo elevado: la simulación de Monte Carlo mostró que existe 71,43 de probabilidad de no resultar viable

La producción de leche orgánica en la región Puno : Una alternativa de desarrollo sostenible

El consumo de productos orgánicos viene creciendo en todo el mundo y la leche orgánica no es la excepción. En Puno, por sus características geográficas, culturales e históricas, la producción agropecuaria aún mantiene tecnologías de producción ancestrales, buscando el equilibrio con el medio ambiente, con un uso mínimo de fertilizantes y pesticidas, con lo que se muestra un enfoque en la sostenibilidad y una tendencia a producir orgánicamente. El objetivo de este trabajo fue determinar mediante una simulación la viabilidad económica y el riesgo de producir leche orgánica como una alternativa de desarrollo sostenible. Se consideró la producción por encima de los 3.000 metros de altura, área de 6,5 has, una vaca (criolla) por hectárea produciendo 10 litros de leche/día. Los indicadores económicos resultaron positivos: el VAN fue S/. 2.916,38, TIR 24, VAE S/. 866,33, ratio B/C S/. 1,48 (se aclaro en la metodología) y el período de recuperación de la inversión resultó de 5,88 años, evidenciando que la producción de leche orgánica es económicamente viable pero con riesgo elevado: la simulación de Monte Carlo mostró que existe 71,43 de probabilidad de no resultar viable