Barreiras a internacionalização de pequenas e médias empresas no Brasil um modelo de mensuração aplicado em empresas do interior do estado de São Paulo = Barriers to internationalization of small and medium enterprises in Brazil: a measurement model applied in companies of the interior of the State of Sao Paulo

2019 ◽  
Author(s):  
Mário César Barreto Pólis
Keyword(s):  
Small And Medium Enterprises ◽  
Measurement Model ◽  
Sao Paulo ◽  
The State ◽  
São Paulo ◽  
Medium Enterprises

Systemic Model for Diagnosis of the Micro, Small and Medium Enterprises from Two Cities from the Countryside of the State of São Paulo in Brazil

2009 ◽  
Vol 23 (3) ◽  
pp. 221-236 ◽  
Author(s):  
Omar S. Donaires ◽  
Marília G. Pinheiro ◽  
Luciana O. Cezarino ◽  
Luiz H. Ostanel ◽  
Dante P. Martinelli
Keyword(s):  
Small And Medium Enterprises ◽  
Sao Paulo ◽  
The State ◽  
São Paulo ◽  
Systemic Model ◽  
Two Cities ◽  
Medium Enterprises

The Daily Routine of Students in the Classroom

2020 ◽  
Vol 8 (3) ◽  
pp. 157-163
Author(s):  
Lilian Marques Silva
Keyword(s):  
Elementary School ◽  
Public School ◽  
Data Collection ◽  
New Technologies ◽  
Sao Paulo ◽  
The State ◽  
Daily Routine ◽  
São Paulo ◽  
Access To Information ◽  
Technological Advances

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.

Sound-Politics in São Paulo

2019 ◽  
Author(s):  
Leonardo Cardoso
Keyword(s):  
Crime Control ◽  
State Intervention ◽  
Sao Paulo ◽  
The State ◽  
Ethnographic Study ◽  
São Paulo ◽  
Cultural Rights ◽  
Point Of Entry ◽  
Wide Range ◽  
Analytical Category

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.

scholarly journals Crustacea, Isopoda, Oniscidea Latreille, 1802: new continent record and distribution extension in Brazil

Check List ◽  
2010 ◽  
Vol 6 (2) ◽  
pp. 217 ◽  
Author(s):  
Mariana Juventina Magrini ◽  
Paula Beatriz Araujo ◽  
Marcio Uehara-Prado
Keyword(s):  
Rio Grande ◽  
Sao Paulo ◽  
The State ◽  
Southeastern Brazil ◽  
Pitfall Traps ◽  
São Paulo ◽  
Undescribed Species ◽  
Rio Grande Do Sul ◽  
Serra Do Mar ◽  
First Time

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.

scholarly journals Towards Providing Effective Data-Driven Responses to Predict the Covid-19 in São Paulo and Brazil

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 540
Author(s):  
Fabio Amaral ◽  
Wallace Casaca ◽  
Cassio M. Oishi ◽  
José A. Cuminato
Keyword(s):  
Learning Strategies ◽  
Time Series Data ◽  
Sao Paulo ◽  
The State ◽  
Data Driven ◽  
Series Data ◽  
São Paulo ◽  
Time Data ◽  
Unified Framework ◽  
Infected People

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.

scholarly journals Modelling the impact of delaying vaccination against SARS-CoV-2 assuming unlimited vaccine supply

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Marcos Amaku ◽  
Dimas Tadeu Covas ◽  
Francisco Antonio Bezerra Coutinho ◽  
Raymundo Soares Azevedo ◽  
Eduardo Massad
Keyword(s):  
Mathematical Model ◽  
Vaccination Campaign ◽  
Vaccination Rate ◽  
Sao Paulo ◽  
The State ◽  
São Paulo ◽  
Health Authorities ◽  
The World ◽  
The Moment ◽  
The Impact

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.

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