scholarly journals Boron adsorption in soils from the State of São Paulo, Brazil

2000 ◽  
Vol 35 (2) ◽  
pp. 413-421 ◽  
Author(s):  
LUÍS REYNALDO FERRACCIÚ ALLEONI ◽  
OTÁVIO ANTONIO DE CAMARGO

Boron adsorption was studied in five representative soils (Rhodic Hapludox, Arenic Paleudalf and three Typic Hapludox) from the State of São Paulo, Brazil. Adsorption was higher in the clayey Oxisols, followed by the Alfisol and the coarser Oxisols. Calcium carbonate promoted an increase in the amount of adsorbed boron in all soils, with the most pronounced effect in the coarser-textured Oxisols. High correlation coefficients were found between adsorbed boron and clay and amorphous aluminum oxide contents and specific surface area (r = 0.79, 0.76 and 0.73, respectively, p < 0.01). Clay content, free aluminum oxide, and hot CaCl2 (0.01 mol L-1)-extracted boron explained 93% of the variation of adsorbed boron. Langmuir and Freundlich isotherms fitted well to the adsorbed data, and highest values for maximum boron adsorption were found in clayey soils, which were significantly correlated with contents of total, free and amorphous iron and aluminum oxides, as well with the physical attributes. Ninety four percent of the variation in the maximum adsorption could be related to the free iron content.

2014 ◽  
Vol 60 (5) ◽  
pp. 419-423 ◽  
Author(s):  
Stephani Felício da Silva Campi ◽  
Luiz Fernando C. Nascimento

Objective: to identify spacial patterns for cesarean deliveries per microregion in the state of São Paulo. Methods: this is an ecological and exploratory study with data on live births occurred between 2003 and 2007 in 63 microregions in the state of São Paulo. Variables analyzed included cesarean delivery rates, teenage mothers, mothers with high levels of education and who had at least seven prenatal consultations. Moran's index (I), a measure of spatial autocorrelation of rates related to the variables described above and which identifies the presence of spatial clusters, was calculated. The distributions of the variables' rates in this study were visualized using thematic maps. The Moran map was used to identify microregions with high priority need for attention. Pearson correlation coefficients among the variables were also obtained. Results: there were 3,045,293 births, being 1,636,009 (53.7 %) cesarean deliveries. It was possible to identify spatial clusters of C-sections (I = 0.58 and p < 0.01) in the microregions located on the north and northwest of the state of São Paulo, as well as in Guaratinguetá; the values found for Moran index were, I = 0.32, I = 0.30 and I = 0.24, for the rates of teenage mothers, schooling and number of consultations, respectively, being all significant results (p <0.01). Micro-regions with high-priority need for attention were identified. Cesarean rates were significantly correlated with high rates of maternal education and number of prenatal consultations. Conclusion: the identification of these microregion clusters with high rates of cesarean delivery allows health managers to implement policies in order to minimize these rates.


1999 ◽  
Vol 56 (2) ◽  
pp. 295-300
Author(s):  
Luís Reynaldo Ferracciú Alleoni ◽  
Otávio Antonio de Camargo ◽  
José Maria Aires Silva Valadares

Relationship between soluble boron extracted with a hot CaCl2 0.01 mol L-1 solution and pH; organic carbon; exchangeable cations; cation exchange capacity (CEC); base saturation; total, free and amorphous iron and aluminum oxide contents; clay content; and specific surface area were performed for surface and subsurface samples of five soils. The soils were a Rhodic Hapludox, an Arenic Paleudalf and three Typic Hapludox, all representative soils of the State of São Paulo, Brazil. To quantify the relations between soluble boron and the different soil characteristics, simple linear correlations and multiple regressions, using a stepwise regression program, were performed. Hot-CaCl2 extractable boron (HCB) was significantly correlated with clay content (r = 0.69*), specific surface area (r = 0.68*), CEC (r = 0.63*) and total aluminum oxides (r = 0.70*) in all five soils. In addition, there was a correlation between HCB and organic carbon (r = 0.75*) in the four Oxisols. The correlation coefficient between the product (carbon x clay) and soluble boron contents was also highly significant (r = 0.78**). Multiple regression analysis showed that total aluminum oxide, as well as exchangeable calcium and aluminum, were correlated with HCB, explaining 85% of the variation. The product (carbon x clay) took into account the effect of textural gradient and showed high positive correlation with hot-CaCl2 0.01 mol L-1extractable boron.


Author(s):  
Lilian Marques Silva

The almost instantaneous access to information provided by technological advances has revolutionized the behavior of people and of the classrooms too. Teachers had to adapt themselves to new technologies to maintain students interested and attentive to the discipline being taught. In this work, the behavior of the students of the 6th grade of elementary school II during class was observed. The school chosen is a public school in the State of São Paulo (Brazil). The research was based on data collection. The students were observed by being filmed during six months. The results showed that the students were interested in the classes and committed to the activities. The place that the student chooses to sit in the classroom influences the behavior of the teacher, because the more distant the teacher, the less he participates in the class.


Author(s):  
Leonardo Cardoso

This book is an ethnographic study of controversial sounds and noise control debates in Latin America’s most populous city. It discusses the politics of collective living by following several threads linking sound-making practices to governance issues. Rather than discussing sound within a self-enclosed “cultural” field, I examine it as a point of entry for analyzing the state. At the same time, rather than portraying the state as a self-enclosed “apparatus” with seemingly inexhaustible homogeneous power, I describe it as a collection of unstable (and often contradictory) sectors, personnel, strategies, discourses, documents, and agencies. My goal is to approach sound as an analytical category that allows us to access citizenship issues. As I show, environmental noise in São Paulo has been entangled in a wide range of debates, including public health, religious intolerance, crime control, urban planning, cultural rights, and economic growth. The book’s guiding question can be summarized as follows: how do sounds enter and leave the sphere of state control? I answer this question by examining a multifaceted process I define as “sound-politics.” The term refers to sounds as objects that are susceptible to state intervention through specific regulatory, disciplinary, and punishment mechanisms. Both “sound” and “politics” in “sound-politics” are nouns, with the hyphen serving as a bridge that expresses the instability that each concept inserts into the other.


Check List ◽  
2010 ◽  
Vol 6 (2) ◽  
pp. 217 ◽  
Author(s):  
Mariana Juventina Magrini ◽  
Paula Beatriz Araujo ◽  
Marcio Uehara-Prado

Terrestrial Isopods were sampled in four protected Atlantic Forest areas located in Serra do Mar, state of São Paulo, southeastern Brazil. A total of 2,217 individuals of six species (Atlantoscia sp., Benthana werneri, Pseudodiploexochus tabularis, Pudeoniscus obscurus, Styloniscus spinosus and Trichorhina sp.) were captured in pitfall traps. The exotic species S. spinosus is recorded for the first time for the Americas. Another introduced species, P. tabularis, previously recorded only from the state of Rio Grande do Sul, had its geographic distribution extended to the state of São Paulo. The most abundant isopods in this study belong to an undescribed species of Atlantoscia.


Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 540
Author(s):  
Fabio Amaral ◽  
Wallace Casaca ◽  
Cassio M. Oishi ◽  
José A. Cuminato

São Paulo is the most populous state in Brazil, home to around 22% of the country’s population. The total number of Covid-19-infected people in São Paulo has reached more than 1 million, while its total death toll stands at 25% of all the country’s fatalities. Joining the Brazilian academia efforts in the fight against Covid-19, in this paper we describe a unified framework for monitoring and forecasting the Covid-19 progress in the state of São Paulo. More specifically, a freely available, online platform to collect and exploit Covid-19 time-series data is presented, supporting decision-makers while still allowing the general public to interact with data from different regions of the state. Moreover, a novel forecasting data-driven method has also been proposed, by combining the so-called Susceptible-Infectious-Recovered-Deceased model with machine learning strategies to better fit the mathematical model’s coefficients for predicting Infections, Recoveries, Deaths, and Viral Reproduction Numbers. We show that the obtained predictor is capable of dealing with badly conditioned data samples while still delivering accurate 10-day predictions. Our integrated computational system can be used for guiding government actions mainly in two basic aspects: real-time data assessment and dynamic predictions of Covid-19 curves for different regions of the state. We extend our analysis and investigation to inspect the virus spreading in Brazil in its regions. Finally, experiments involving the Covid-19 advance in other countries are also given.


2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Marcos Amaku ◽  
Dimas Tadeu Covas ◽  
Francisco Antonio Bezerra Coutinho ◽  
Raymundo Soares Azevedo ◽  
Eduardo Massad

Abstract Background At the moment we have more than 177 million cases and 3.8 million deaths (as of June 2021) around the world and vaccination represents the only hope to control the pandemic. Imperfections in planning vaccine acquisition and difficulties in implementing distribution among the population, however, have hampered the control of the virus so far. Methods We propose a new mathematical model to estimate the impact of vaccination delay against the 2019 coronavirus disease (COVID-19) on the number of cases and deaths due to the disease in Brazil. We apply the model to Brazil as a whole and to the State of Sao Paulo, the most affected by COVID-19 in Brazil. We simulated the model for the populations of the State of Sao Paulo and Brazil as a whole, varying the scenarios related to vaccine efficacy and compliance from the populations. Results The model projects that, in the absence of vaccination, almost 170 thousand deaths and more than 350 thousand deaths will occur by the end of 2021 for Sao Paulo and Brazil, respectively. If in contrast, Sao Paulo and Brazil had enough vaccine supply and so started a vaccination campaign in January with the maximum vaccination rate, compliance and efficacy, they could have averted more than 112 thousand deaths and 127 thousand deaths, respectively. In addition, for each month of delay the number of deaths increases monotonically in a logarithmic fashion, for both the State of Sao Paulo and Brazil as a whole. Conclusions Our model shows that the current delay in the vaccination schedules that is observed in many countries has serious consequences in terms of mortality by the disease and should serve as an alert to health authorities to speed the process up such that the highest number of people to be immunized is reached in the shortest period of time.


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
A B Guerra ◽  
L M Guerra ◽  
L F Probst ◽  
B V Castro Gondinho ◽  
G M Bovi Ambrosano ◽  
...  

Abstract Background The state of São Paulo recorded a significant reduction in infant mortality, but the desired reduction in maternal mortality was not achieved. Knowledge of the factors with impact on these indicators would be of help in formulating public policies. The aims of this study were to evaluate the relations between socioeconomic and demographic factors, health care model and both infant mortality and maternal mortality in the state of São Paulo, Brazil. Methods In this ecological study, data from national official open sources were used. Analyzed were 645 municipalities in the state of São Paulo, Brazil. For each municipality, the infant mortality and maternal mortality rates were calculated for every 1000 live births, 2013. The association between these rates, socioeconomic variables, demographic models and the primary care organization model in the municipality were verified. We used the zero-inflated negative binomial model. Gross analysis was performed and then multiple regression models were estimated. For associations, we adopted “p” at 5%. Results The increase in the HDI of the city and proportion of Family Health Care Strategy implemented were significantly associated with the reduction in both infant mortality (neonatal + post-neonatal) and maternal mortality rates. In turn, the increase in birth and caesarean delivery rates were associated with the increase in infant and maternal mortality rates. Conclusions It was concluded that the Family Health Care Strategy model that contributed to the reduction in infant (neonatal + post-neonatal) and maternal mortality rates, and so did actors such as HDI and cesarean section. Thus, public health managers should prefer this model. Key messages Implementation of public policies with specific focus on attenuating these factors and making it possible to optimize resources, and not interrupting the FHS. Knowledge of the factors with impact on these indicators would be of help in formulating public policies.


Author(s):  
Hildo Meirelles de Souza Filho ◽  
Marcela Mello Brandão Vinholis ◽  
Marcelo José Carrer ◽  
Roberto Bernardo

Sign in / Sign up

Export Citation Format

Share Document