Environmental factors affecting soil metals near outlet roads in Poznan, Poland: impact of grain size, soil depth, and wind dispersal

We determined the Cd, Cr, Cu, Ni, Pb, and Zn concentrations in soil samples collected along the eight main outlet roads of Poznan. Samples were collected at distances of 1, 5, and 10 m from the roadway edges at depth intervals of 0-20 and 40-60 cm. The metal content was determined in seven grain size fractions. The highest metal concentrations were observed in the smallest fraction (<0.063 mm), which were up to four times higher than those in sand fractions. Soil Pb, Cu, and Zn (and to a lesser extent Ni, Cr, and Cd) all increased in relation to the geochemical background. At most sampling sites, metal concentrations decreased with increasing distance from roadway edges and increasing depth. In some locations, the accumulation of metals in soils appears to be strongly influenced by wind direction. Our survey findings should contribute in predicting the behavior of metals along outlet road, which is important by assessing sources for further migration of heavy metals into the groundwater, plants, and humans.

Statistical Analysis of Text Summarization Evaluation

This dissertation applies statistical methods to the evaluation of automatic summarization using data from the Text Analysis Conferences in 2008-2011. Several aspects of the evaluation framework itself are studied, including the statistical testing used to determine significant differences, the assessors, and the design of the experiment. In addition, a family of evaluation metrics is developed to predict the score an automatically generated summary would receive from a human judge and its results are demonstrated at the Text Analysis Conference. Finally, variations on the evaluation framework are studied and their relative merits considered. An over-arching theme of this dissertation is the application of standard statistical methods to data that does not conform to the usual testing assumptions.

Implementation of the CDM model to the analisys of the hotel sector

The main aim of this study was to determine the impact of innovation on productivity in service sector companies — especially those in the hospitality sector — that value the reduction of environmental impact as relevant to the innovation process. We used a structural analysis model based on the one developed by Crépon, Duguet, and Mairesse (1998). This model is known as the CDM model (an acronym of the authors’ surnames). These authors developed seminal studies in the field of the relationships between innovation and productivity (see Griliches 1979; Pakes and Grilliches 1980). The main advantage of the CDM model is its ability to integrate the process of innovation and business productivity from an empirical perspective.

Monitoring of specific activities of long-lived radioactive elements along the Mini- Okoro/Oginigba Creek, Port Harcourt

Presence and concentrations of radionuclides could be as a result of natural and human activities. This study examined the associations and differences among soil, sediment and water specific activities of long-lived radioactive element (LLRE). Gamma spectroscopy was used to measure the concentration of the LLRE along the Mini Okoro/Oginigba Creek, Port Harcourt. Specific activities of three selected LLRE were derived. Correlation analysis was carried out to examine associations among the specific activities across different substrates. A strong and a significant negative correlation exists between the specific activities of Water 40K and Soil 232Th (r =-0.721, p<0.05); Water 238U and Soil 238U (r = -0.717, p<0.05) and Water 40K and Sediment 238U (r=-0.69, p<0.05). Comparison using Mann-Whitney U test shows that, soil and sediment are similar in their specific activities with Z values of -0.408, -1.209 and -1.021 (p > 0.05) for 40K, 232Th and 238U respectively. The concentration of solid samples (soil and sediment) is different from the liquid (water) samples. These associations can be attributed to some specific underlying factors. And in other to understand them there is need for more studies.

Geoprocessing applied to the assessment of environmental noise: a case study in the city of Sorocaba, São Paulo, Brazil

Noise mapping has been used as an instrument for assessment of environmental noise, helping to support decision making on urban planning. In Brazil, urban noise is not yet recognized as a major environmental problem by the government. Besides, cities that have databases to drive acoustic simulations, making use of advanced noise mapping systems, are rare. This study sought an alternative method of noise mapping through the use of geoprocessing, which is feasible for the Brazilian reality and for other developing countries. The area chosen for the study was the central zone of the city of Sorocaba, located in So Paulo State, Brazil. The proposed method was effective in the spatial evaluation of equivalent sound pressure level. The results showed an urban area with high noise levels that exceed the legal standard, posing a threat to the welfare of the population.

Tendências das aves noturnas em Portugal: metodologias e análise de um programa de monitorização baseado em colaboradores voluntários

Uma avaliação das metodologias de análise e recolha de dados aplicadas pelo Programa NOCTUAPortugal é de extrema importância para se apurar se estas são as mais indicadas em estudos de citizen science. Comparou-se os resultados de diferentes metodologias analíticas de estimação das tendências populacionais das espécies de aves noturnas durante o período de realização do Programa NOCTUA-Portugal (análise gráfica simples, modelos lineares generalizados (GLM-Poisson e GLMM), modelos aditivos generalizados (GAM-LOESS e GAM-mgcv) e software TRIM). Analisou-se a metodologia de censo de modo a avaliar o número de registos face à duração dos pontos de escuta, comparar a eficiência do ponto de deteção com outros estudos, variação das respostas ao longo da noite e efeito da época do ano, vento, nebulosidade e luminosidade da lua. Os resultados mostraram que a metodologia analítica mais indicada era o GLMM e que não era necessário realizar nenhum ajuste em particular na metodologia de censo; Trends in nocturnal birds in Portugal Methods and analysis of a volunteer-based monitoring program ABSTRACT: An evaluation of the methodologies of analysis and data collection applied by NOCTUA-Portugal Program is extremely important to determine whether these are the most suitable in citizen science studies. We compared the results of different analytical methodologies to estimate population trends of the species of nocturnal birds during the period of the NOCTUA-Portugal Program (simple graphical analysis, generalized linear models (GLM-Poisson and GLMM), generalized additive models (GAM-LOESS and GAMmgcv) and software TRIM). We analyzed the field methodology to assess the effect of point duration on the number of records, compared the point count efficiency with other sources, the variation of responses throughout the night, the effect of time of year, wind, cloud cover and moon luminosity. The results showed that the most suitable analytical methodology was the GLMM and it was not necessary to make any particular adjustment in the field methodology.

Determinação de mercúrio total no material particulado atmosférico do Distrito Federal, Brasil

Dissertação (mestrado)—Universidade de Brasília, Instituto de Química, Programa de Pós-Graduação em Tecnologia Química e Biológica, 2016.

Adsorção de cobre e cromo utilizando fibra de sisal visando o tratamento da água produzida pela indústria petrolífera

Currently, the oil industry is the biggest cause of environmental pollution. The objective was to reduce the concentration of copper and chromium in the water produced by the oil industry. It was used as adsorbent natural sisal fiber Agave sp treated with nitric acid and sodium hydroxide. All vegetable fibers have physical and morphological properties that enablies the adsorption of pollutants. The basic composition of sisal is cellulose, hemicellulose and lignin. The features are typically found in the characterization of vegetable fibers, except the surface area that was practically zero. In the first stage of adsorption, it was evaluated the effect of temperature and time skeeking to optimize the execution of the factorial design. The results showed that the most feasible fiber was the one treated with acid in five hours (30°C). The second phase was a factorial design, using acid and five hours, this time was it determined in the first phase. The tests were conducted following the experimental design and the results were analyzed by statistical methods in order to optimize the main parameters that influence the process: pH, concentration (mol / L) and fiber mass/ metal solution volume. The volume / mass ratio factor showed significant interference in the adsorption process of chromium and copper. The results obtained after optimization showed that the highest percentages of extraction (98%) were obtained on the following operating conditions: pH: 5-6, Concentration: 100 ppm and mass/ volume: 1 gram of fiber/50mL solution. The results showed that the adsorption process was efficient to remove chromium and copper using sisal fibers, however, requiring further studies to optimize the process.

Detección, diagnóstico e intervención temprana en niños menores de tres años de alto riesgo biológico y ambiental pertenecientes a la comunidad indígena de Salasaca provincia de Tungurahua

The main objective on this research is to evaluate and detect the profile of development and possible deviations that expouses a high biological, social and / or environmental risk on Indigenous children under three years old who attend to Child Centers of Good Living in the Indigenous Community of Salasaca - Tungurahua. The study was conducted with 90 children whom attend these centers. The Bayley Scale for Infant Development III (Bayley Scales for Infant Development - BSID) was applied to the study, for it was a standardized international test for scientific research on child development. It values the state of development and identifies deficits on children from 0 to 42 months old. Two types of questionnaires were applied to the Technical Assistants Child Development and to the Daily care Child Centers. Another querionary was used for the mothers of this centers in order to establish the level of knowledge over some factors, which may influence on child development during early childhood, as well as the parenting patterns characteristic of the indigenous community of Salasaca- Tungurahua. Analytical, synthetical and statistical methods for results interpretation were used for the Theoretical framework of this work. The scope of this research is the socio educative type. It benefits generally to all society particularly to children on infant stage and to the Indigenous Community of Salasaca...

Solid waste monitoring coverage

This map of South Carolina is divided into different districts showing coverage of solid waste monitoring. A contact person with telephone number and email address is provided for each district.

Prevalencia y caracterización de la disfonía, en operadores de un call center en Bogotá Colombia.

Resumen Introducción: El uso de la voz profesional requiere de una técnica y medidas de conservación para no verse afectada. Un inadecuado esquema corporal en el profesional de la voz, ocasiona alteración en los parámetros respiratorios y vocales manifestándose como disfonía. Objetivo: Determinar la prevalencia y caracterización de disfonía en 200 tele operadores de un call Center en Bogotá Colombia. Métodos: Estudio de corte transversal con datos secundarios provenientes de una base de datos con registros de una población de 200 tele operadores de un call center en Bogotá, Colombia, a los cuales se les aplicó evaluación de respiración y de voz durante el año 2003. La estimación de la prevalencia de la disfonía se realizó a través de la distribución de frecuencias relativas. Se realizó caracterización de la población estudiada según variables sociodemográficas, ocupacionales y parámetros respiratorios y vocales a través de métodos estadísticos según la naturaleza de estas variables. Se determinó la asociación entre factores ambientales, síntomas asociados, síntomas vocales, perfil vocal de Wilson y disfonía mediante la prueba de Chi Cuadrado de Pearson. Resultados: la prevalencia de disfonía fue del 73% (n= 146), el 34% presentó grado de disfonía moderado. Los resultados obtenidos en los parámetros de evaluación vocal se encontraron dentro del rango de normalidad, analizados en forma individual (tono, rango intensidad) y se relacionan con los resultados obtenidos con la prevalencia disfonía. El 95,5% de los tele operadores los parámetros respiratorios se encontraron alterados. Los tele operadores con disfonía en comparación a los sin disfonía tuvieron mayor frecuencia de presentación de los siguientes factores ambientales: ruido (68% vs 50,9% p=0,03) y vapores (27,2% vs 11,3% p= 0,02), síntomas corporales y de la voz respectivamente: cuello (69,4% vs 54,7% p= 0,05), dolor en la laringe (19,7% vs 7,5% p= 0,04). Conclusión: La prevalencia de disfonía encontrada en este call center fue alta Lo que requiere la implementación de medidas de prevención como tamizajes acústicos, para hacer seguimiento a las cualidades de la voz más afectadas, entrenamiento respiratorio y vocal, pausas vocales y medidas de conservación de la voz, para contribuir a que el tele operador desarrolle un mejor manejo de sus cualidades vocales acorde con su uso y disminuir la prevalencia de disfonía.

Monitoring pasture variability: optical OptRx® crop sensor versus Grassmaster II capacitance probe

Estimation of pasture productivity is an important step for the farmer in terms of planning animal stocking, organizing animal lots, and determining supplementary feeding needs throughout the year. The main objective of this work was to evaluate technologies which have potential for monitoring aspects related to spatial and temporal variability of pasture green and dry matter yield (respectively, GM and DM, in kg/ha) and support to decision making for the farmer. Two types of sensors were evaluated: an active optical sensor(OptRx®, which measures the NDVI, Normalized Difference Vegetation Index) and a capacitance probe (GrassMaster II which estimates plant mass). The results showed the potential of NDVI for monitoring the evolution of spatial and temporal patterns of vegetative growth of biodiverse pasture. Higher NDVI values were registered as pasture approached its greatest vegetative vigor, with a significant fall in the measured NDVI at the end of Spring, when the pasture began to dry due to the combination of higher temperatures and lower soil moisture content. This index was also effective for identifying different plant species (grasses/legumes) and variability in pasture yield. Furthermore, it was possible to develop calibration equations between the capacitance and the NDVI (R2 = 0.757; p < 0.01), between capacitance and GM (R2 = 0.799; p<0.01), between capacitance and DM (R2 = 0.630; p<0.01), between NDVI and GM (R2=0.745; p < 0.01), and between capacitance and DM (R2=0.524; p<0.01). Finally, a direct relationship was obtained between NDVI and pasture moisture content (PMC, in %) and between capacitance and PMC (respectively, R2 = 0.615; p<0.01 and R2=0.561; p <0.01) in Alentejo dryland farming systems.

Digital design of an EPC Gen2 controller for enhanced RFID tags

This thesis presents an improvement of the long range battery-less UHF RFID platform for sensor applications which is based on the open source Wireless Identification and Sensing Platform (WISP) project. The purpose of this work is to design a digital logic that performs the RFID EPC gen2 protocol communication, is able to acquire information by sensors and provide an accurate estimation of tag location ensuring low energy consumption. This thesis will describe the hardware architecture on which the digital logic was inserted, the Verilog code developed, the methods by which the digital logic was tested and an explorative study of chip synthesis on Cadence.

Statistical learning of random probability measures

The study of random probability measures is a lively research topic that has attracted interest from different fields in recent years. In this thesis, we consider random probability measures in the context of Bayesian nonparametrics, where the law of a random probability measure is used as prior distribution, and in the context of distributional data analysis, where the goal is to perform inference given avsample from the law of a random probability measure. The contributions contained in this thesis can be subdivided according to three different topics: (i) the use of almost surely discrete repulsive random measures (i.e., whose support points are well separated) for Bayesian model-based clustering, (ii) the proposal of new laws for collections of random probability measures for Bayesian density estimation of partially exchangeable data subdivided into different groups, and (iii) the study of principal component analysis and regression models for probability distributions seen as elements of the 2-Wasserstein space. Specifically, for point (i) above we propose an efficient Markov chain Monte Carlo algorithm for posterior inference, which sidesteps the need of split-merge reversible jump moves typically associated with poor performance, we propose a model for clustering high-dimensional data by introducing a novel class of anisotropic determinantal point processes, and study the distributional properties of the repulsive measures, shedding light on important theoretical results which enable more principled prior elicitation and more efficient posterior simulation algorithms. For point (ii) above, we consider several models suitable for clustering homogeneous populations, inducing spatial dependence across groups of data, extracting the characteristic traits common to all the data-groups, and propose a novel vector autoregressive model to study of growth curves of Singaporean kids. Finally, for point (iii), we propose a novel class of projected statistical methods for distributional data analysis for measures on the real line and on the unit-circle.

Late onset spinal cord ischemia after thoracoabdominal aortic aneurysm open repair

The aim of this study is to evaluate if spinal cord ischemia (SCI), especially its late presentation, and can be correlated to the results of intraoperative evoked potential monitoring (IOM). Methods. This study is a physician-initiated, retrospective, single-center, non-randomized study. Data from all patients undergoing a thoracoabdominal aortic aneurysm surgical repair (TAAA SR) between January 2016 and March 2020 IOM was collected and analyzed. Results. During the study period, 261 patients underwent TAAA SR with MEP/SSEPs monitoring [190 males, 73%; median age 65 (57-71)]. Thirty-seven patients suffered from SCI, for an overall rate of 14% (permanent 9%). When stratifying patients according to the SCI onset, 18 patients presented with an early (11 permanent) and 19 with a late SCI (<24h) (11 permanent). Of 261 patients undergoing TAAA SR with IOM, 15 were excluded due to changes in the upper extremity motor evoked potentials. For the remaining 246, the association between SCI and IOM was investigated: only irreversible IOM loss without peripheral changes have been found to be a risk factor for late onset SCI (p=.006). Furthermore, given that no statistical differences were found between the two groups when no IOM changes were recorded (p=.679), this situation cannot reliably rule out any SCI in our cohort. Independent risk factors for late spinal cord ischemia onset found at multivariate analysis were smoking history (p=.008), BMI>28 (p=.048) and TAAA extent II (p=.009). The irreversible MEP change without peripheral showed a trend of significance (p=.052). Conclusions. Evoked potential intraoperative monitoring is an important adjunct during thoracoabdominal aortic open repair to predict and possibly prevent spinal cord ischemia. Irreversible IOM loss without peripheral changes was predictive of late SCI, therefore more attention should be paid to the postoperative management of this subgroup of patients.