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Background: Dengue, Zika, and chikungunya, whose viruses are transmitted mainly by Aedes aegypti, significantly impact human health worldwide. Despite the recent development of promising vaccines against the dengue virus, controlling these arbovirus diseases still depends on mosquito surveillance and control. Nonetheless, several studies have shown that these measures are not sufficiently effective or ineffective. Identifying higher-risk areas in a municipality and directing control efforts towards them could improve it. One tool for this is the premise condition index (PCI); however, its measure requires visiting all buildings. We propose a novel approach capable of predicting the PCI based on facade street-level images, which we call PCINet. Methodology: Our study was conducted in Campinas, a one million-inhabitant city in São Paulo, Brazil. We surveyed 200 blocks, visited their buildings, and measured the three traditional PCI components (building and backyard conditions and shading), the facade conditions (taking pictures of them), and other characteristics. We trained a deep neural network with the pictures taken, creating a computational model that can predict buildings' conditions based on the view of their facades. We evaluated PCINet in a scenario emulating a real large-scale situation, where the model could be deployed to automatically monitor four regions of Campinas to identify risk areas. Principal findings: PCINet produced reasonable results in differentiating the facade condition into three levels, and it is a scalable strategy to triage large areas. The entire process can be automated through data collection from facade data sources and inferences through PCINet. The facade conditions correlated highly with the building and backyard conditions and reasonably well with shading and backyard conditions. The use of street-level images and PCINet could help to optimize Ae. aegypti surveillance and control, reducing the number of in-person visits necessary to identify buildings, blocks, and neighborhoods at higher risk from mosquito and arbovirus diseases. Author summary: The strategies to control Ae. aegypti require intensive work and considerable financial resources, are time-consuming, and are commonly affected by operational problems requiring urgent improvement. The PCI is a good tool for identifying higher-risk areas; however, its measure requires a high amount of human and material resources, and the aforementioned issues remain. In this paper, we propose a novel approach capable of predicting the PCI of buildings based on street-level images. This first work combines deep learning-based methods with street-level data to predict facade conditions. Considering the good results obtained with PCINet and the good correlations of facade conditions with PCI components, we could use this methodology to classify building conditions without visiting them physically. With this, we intend to overcome the high cost of identifying high-risk areas. Although we have a long road ahead, our results show that PCINet could help to optimize Ae. aegypti and arbovirus surveillance and control, reducing the number of in-person visits necessary to identify buildings or areas at risk. [ABSTRACT FROM AUTHOR]

Electric vehicle (EV) charging may impose a substantial power demand on existing low voltage (LV) and medium voltage (MV) networks, which are usually not prepared for high power demands in short time intervals. The influx of E-mobility may require an increase in grid reinforcements, but these can be reduced and optimized by a combination of new technologies, tools, and strategies, such as the deployment of solar PV generation integrated with aggregated energy storage systems. One of the challenges in the implementation of charging infrastructures in public stations is coupling the projected sizes of energy demand and power requirements in each location for each charger. This paper describes a method to estimate projected values for energy consumption and power demand in EV fast charging stations (CS). The proposed ideas were applied in a concept facility located in Campinas, Brazil, in a structure equipped with two 50 kW DC Fast Chargers, local 12.5 kW/13.2 kWp PV generation (to reduce energy impacts to the grid), and a 100 kW/200 kWh storage system, using electrochemical batteries (to minimize peak power requirements). [ABSTRACT FROM AUTHOR]

By definition, thefts are considered the act of taking away other people's mobile possessions for personal use or for others, affecting crime rates, economic indicators and enabling recent studies to create risk zones in society, contributing to insurance pricing in actuarial methods. This paper analyzes the number of vehicle thefts of 38 locations near Campinas/S˜ao Paulo, Brazil, using a GLARMA(p,q) model with Poisson and Negative Binomial response. The main feature of GLARMA(p,q) is to consider the peculiarities of counting data as high dispersion. As a result, it was possible to verify the adequacy and usefulness of the model for counting data. With specific techniques for estimating time series related to the public security area, patterns can be better understood, revealing relevant information that can be added to decision-making processes to direct public policies. [ABSTRACT FROM AUTHOR]

This paper analyzes ten recovery narratives of people with a serious mental illness who received mental health services in the public health care system of the city of Campinas, Brazil. We describe the person's recovery process and their relationship with the clinical services they received. This is a very needed conversation because the incorporation of recovery and recovering citizenship concepts in clinical practice are still incipient in South America. Most importantly, this research adds to the dialogue around recovering citizenship in different cultures. Methods: We used phenomenological methodology to interpret data drawn from the participant's life course interview (using the McGill Illness Narrative Interview). Results: We found that a) Before receiving services, people were overwhelmed by symptoms, but did not know what was going on; b) Loved ones and clinicians explained symptoms as part of a mental illness, and the proposed treatment was largely accepted; c) Mental health treatment was seen as helpful but not enough to address what was meaningful for their lives; d) People regained a life in their community, they felt proud of their recovery process, and solidarity and collectivism seemed to play important roles in their recovery process. Discussion: We identified similarities and differences in the recovery process of people with serious mental illness receiving public mental health services in Campinas, Brazil, when compared to the international literature. Receiving mental health services was very helpful for participants, principally when feeling overwhelmed by symptoms. Mental health services seemed to be less effective in helping people regain a meaningful life in their communities. Solidarity from friends and family members was recognized as an important recovery asset. [ABSTRACT FROM AUTHOR]

In this paper, we propose the display and analysis of the different periods of modernization that have reached Campinas, municipality of São Paulo. From the socio-spatial formation category, we seek to understand how the genesis of the city happened and how its urban structuring process, at different stages, was linked to the succession of the business cycles. The continuity of archaic production forms within the historical periods is the condition of the national socio-economic formation. In this formation process, the materialization of the structure and of the productive forces that are mediated by the state led to periods of relative stability, however, the accumulation of contradictions will be the condition for the occurrence of ruptures that inaugurate new periods. [ABSTRACT FROM AUTHOR]

The Higher Interdisciplinary Training Program (ProFIS) is a pilot course of higher education from the State University of Campinas (Unicamp), created in 2011, which offers 120 vacancies each year for the students from public schools in Campinas recently graduated from secondary education. The students enter the Program through their scores in the Enem (National High School Examination), and after two years of ProFIS, they choose which degree they wish to pursue at Unicamp. The Institute of Language Studies (IEL) is responsible for offering ProFIS students two disciplines of Reading and Production of Academic Texts throughout the academic year. In 2017, they studied the academic genres: critical review, scientific article and oral seminar. This paper aims to discuss the students' results in these text production activities (written and oral) in order to point out successes and learning difficulties of these academic genres. [ABSTRACT FROM AUTHOR]

The objetive of this paper were asses the municipalties eficiency at São Paulo State to improve local development. The municipalties were aggregated in four clusters by tax revenue profile. Through Data Envelopment Analysis it were created an efficiency index. The clusters elaborated separated the municipalities due to the reliance on federal transfer, transfer of state tax quota and collection of municipal taxes. Among the 602 municipalities evaluated, only 29 municipalities were considered simultaneous benchmarking in all dimensions of local development and 28% of them belongs to mesoregion of Campinas. Besides, the existence of benchmarking bordering municipalties might indicate the local scale exceeds the municipal geopolitical limit. [ABSTRACT FROM AUTHOR]

This paper presents partial results of a more comprehensive research on housing quality and the performance of social housing projects (EHIS) in the Metropolitan Region of Campinas (RMC). The overall goal is improving social housing production quality by valuing Brazilian advances in the regulatory context. More specifically, the goal was contributing to the consolidation of an EHIS knowledge base in Santa Barbara d'Oeste, SP in view of the Brazilian ABNT NBR 15575 Standard on Housing Performance. Documentary and bibliographic studies were conducted. After the completion of a comprehensive inventory and detailed characterization, case study projects were selected. The design projects were verified regarding compliance to a selection of NBR15575 requirements. Research allowed reflections on the importance of compliance to normative references in housing design phase. EHIS knowledge base can establish the foundation for future performance evaluations and design improvements for these and new projects. [ABSTRACT FROM AUTHOR]

The development of synchrotron radiation sources in Brazil is described from a brief historical point of view followed by a description of the Sirius project, a new 3 GeV fourth-generation synchrotron light source with 518m circumference and 0.25 nm.rad emittance, in final construction stage at the Brazilian Synchrotron Light Laboratory campus, in Campinas. As one of the pioneer fourth-generation machines, many accelerator engineering challenges were studied in depth and resulted in quite a few innovative developments. In this paper, we review some of these developments. [ABSTRACT FROM AUTHOR]

Research within the geography of crime and spatial criminology literature most often show that crime is highly concentrated in particular places. Moreover, a subset of this literature has shown that the spatial patterns of these concentrations are different across crime types. This raises questions regarding the appropriateness of aggregating crime types (property and violent crime, for example) when the underlying spatial pattern is of interest. In this paper, using crime data from Campinas, Brazil, we investigate the crime concentrations and the similarities among different crime types across space. Similar to some recent research in another context, we find that crime is highly concentrated in Campinas but the ability to aggregate similar crime types at the street segment level is not generalizability when compared to a North American context. [ABSTRACT FROM AUTHOR]

Digital artifacts have the potential for augmenting the interest of students and the quality of learning environments. However, it is still common to find technology being inserted in learning settings without a closer connection to the learners' contemporary world. In this paper we report on results of a qualitative research conducted to address questions such as: How could a new technology be introduced in schools in a way that it makes sense to the users? Could it contribute to more integrated learning scenarios? The study took place at an elementary public school in the city of Campinas, in São Paulo, Brazil, and involved more than 500 people. Data were collected from participatory Workshops, informal interviews and pictographic questionnaire. The results suggest that it is possible to combine school's formal and informal practices into meaningful learning by using the XO educational laptop. The activities helped teachers and students realize that the use of technology can be recreated, influenced by their own feelings, values and culture. A discussion is conducted towards new perspectives on understanding learning practices mediated by technology and the role of the concept of 'Affectibility' in the design of educational systems [ABSTRACT FROM AUTHOR]

Th e objective of this paper is to analyze a set of technology-based enterprises connected to incubators and the University of Campinas, both located in the Metropolitan Region of Campinas, Brazil. We call these, respectively, "induced" and "spontaneous" companies. A survey was conducted directly with the companies and reveled an answer rate of 31%for our population connected to incubators and 24%for those connected with the university. We propose a discussion of fi rm's endogenous and exogenous characteristics, as well as their relations with the geographic space. Our main conclusions are as follows: 1) the space emerges as fundamental in the creation and development of technology-based endeavors, 2) both groups of companies do not diff er substantially in successful growth potential, 3) diff erences emerge with the level of integration with the university and network access, and 4) their main limitation is connected with fi nancing access. [ABSTRACT FROM AUTHOR]

This paper provides an overview of the research master's, which seeks to understand the religious education in Colégio Progresso da cidade de Campinas of Campinas (SP) in the period 1900 to 1937. The religious education was a feature of this school since, when in its founding in 1900, was to offer a secular establishment for females. The College Progress was founded by the initiative of five influential Campineira in the city and have a proposal different from other women's schools, all outside the city of character and faith. The school's religious character of Catholic imprint, gained strength under the direction of Mrs. Emilia de Paiva Meira, the second director of the school, he held the post from 1902 to 1937, when he died. Besides investigating the religious spirit of the principal, which sought to inspire teachers and students with her example, this research seeks to understand the religious education as part of the culture of this school (JULIA, 2001), both as a disciplinary body, and as a set of practices and beliefs. [ABSTRACT FROM AUTHOR]

The particulate matter PM 10 concentrations have been impacting hospital admissions due to respiratory diseases. The air pollution studies seek to understand how this pollutant affects the health system. Since prediction involves several variables, any disparity causes a disturbance in the overall system, increasing the difficulty of the models' development. Due to the complex nonlinear behavior of the problem and their influencing factors, Artificial Neural Networks are attractive approaches for solving estimations problems. This paper explores two neural network architectures denoted unorganized machines: the echo state networks and the extreme learning machines. Beyond the standard forms, models variations are also proposed: the regularization parameter (RP) to increase the generalization capability, and the Volterra filter to explore nonlinear patterns of the hidden layers. To evaluate the proposed models' performance for the hospital admissions estimation by respiratory diseases, three cities of São Paulo state, Brazil: Cubatão, Campinas and São Paulo, are investigated. Numerical results show the standard models' superior performance for most scenarios. Nevertheless, considering divergent intensity in hospital admissions, the RP models present the best results in terms of data dispersion. Finally, an overall analysis highlights the models' efficiency to assist the hospital admissions management during high air pollution episodes. [ABSTRACT FROM AUTHOR]

[Display omitted] • Multi-objective optimization of a Plug-in hybrid electric vehicle (PHEV). • Optimization of several PHEV subsystems and fuzzy power-split and shifting control. • Air pollutant emissions analysis based on ADVISOR™ transient engine simulation. • 43% decrease in vehicle travel cost with a reduction of 43% CO, 45% HC and 72% NOx. • Improvement of the battery state of health (SoH) to maximize its lifespan. Plug-in hybrid electric vehicles (PHEV) offer an attractive alternative to achieve the ambitious goals set by strong policies focused on near-term air quality and fuel-efficient road transportation. This paper provides a comprehensive study regarding the PHEV's optimum powertrain design, by means of a multi-criteria analysis carried out by the interactive adaptive-weight genetic algorithm approach. The optimization aims to simultaneously minimize the PHEV's fuel consumption, exhaust emissions, electric powertrain size, battery state of health, charging time and costs. To achieve these objectives, several PHEV's design parameters are optimized such as in-wheel electric motors' torque curves, battery voltage and capacity. The drivetrain is also optimized according to the determination of the best configuration of gearbox and differential gear ratios, taking into account constructive constraints. Furthermore, the fuzzy logic controllers responsible for the engine/electric motors power-split management and gear shifting control are included in the multi-objective optimization in order to define the best membership functions, rules and respective weights. To guarantee robust solutions, the PHEV is optimized under different driving conditions, which is given by the combination of the FTP-75, HWFET and US06 driving cycles. To evaluate the optimum PHEV performance, it is also simulated under the WLTC driving cycle and a real-world driving cycle based on the Campinas city. The best trade-off configuration results in 39.57% decrease in vehicle travel cost along with 43.39% carbon monoxide (CO), 45.13% unburned hydrocarbons (HC) and 72.64% nitrogen oxides ( NO x ) emissions reduction under the combined driving cycle. [ABSTRACT FROM AUTHOR]

Solar stills are convenient, cheap and ambient friendly but has the drawback of low production of potable fresh water. To explore better the concept and make more attractive for use some more research is necessary to improve the productivity and thermal performance of these units. In this paper a numerical study on an inclined type solar still is performed to investigate the influence of the water film thickness on the heat transfer and fluid flow inside the device cavity. The solar still system temperatures are calculated for four film thicknesses, 0.14, 0.5, 1.0 and 3.0 mm, through the Runge-Kutta method for the ambient conditions of Campinas, southeast of Brazil. The temperatures of the film and the glass are input to the computational fluid dynamics investigation. The radiative transfer and double-diffusive convection of air and vapor mixture are simulated considering the nongray Spectral Line Based Weighted-Sum-of-Gray-Gases method. The results indicate that the use of film thickness δ w = 3.0 mm increased the temperature difference between the water film and the glass from 2.14 °C to 9.15 °C when compared to the film flowing over the bare plate, δ w = 0.14 mm, and increased the rate of fresh water yield more than 2.0 times, for summer conditions and peak insolation hours. The use of transparent gas approach slightly overpredicted radiative and convective heat transfer inside the solar still cavity. • An inclined solar still is numerically simulated considering nongray gas approach • Thick water films increase temperature and vapor concentration in the cavity core. • A film thickness of 3 mm is adequate for increased fresh water yield. • The moving water film does not induce a clockwise moving mixture. • The transparent gas approach results in errors up to 39% in temperature and vapor profiles. [ABSTRACT FROM AUTHOR]

• Polyether ionophores residues were monitored in pasteurized milk samples. • Monensin was the only ionophore found in 18 of 40 samples. • Concentrations of 0.1 to 0.27 μg kg−1 were quantified in 13 samples. • Monensin dietary intake through milk do not indicate a consumer risk. This paper aimed to survey the occurrence of six polyether ionophores (lasalocid, maduramycin, monensin, narasin, salinomycin and semduramycin) in pasteurized milk using a validated method by liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS). For that, 40 samples of pasteurized milk, from seven brands, collected in six locations (supermarkets, grocery stores and greengrocers) in the metropolitan region of São Paulo and Campinas, São Paulo State, Brazil, were evaluated. Sampling included whole (18), skimmed (8) and semi-skimmed (10) milk as well as lactose-free (4) products. Only monensin antibiotic residues were found in the analyzed samples. This ionophore was confirmed in 45% of the samples and quantified in 32.5% at concentrations ranging from 0.1 to 0.27 μg kg−1. The positive samples were whole or semi-skimmed milk. Considering the levels of monensin reported in the present study and data on milk consumption in Brazil, an exposure assessment indicated that the intake of this antibiotic does not represent a risk to health. [ABSTRACT FROM AUTHOR]

Based on the relationship between lightning and thunderstorm microphysics, this paper aims to determine the averaged vertical profiles of polarimetric variables for different classes of lightning density according to the GLM grid and then evaluate the potential use of these profiles for data assimilation in models with high spatial and temporal resolutions. Polarimetric variables from an X-band radar located in Campinas-SP and data from the Brazilian Network were used to detect the microphysics properties and atmospheric discharges of clouds (GLM proxy). The main differences between the lightning density class-averaged profiles for the four variables of Z H , Z DR , K DP and ρ HV were observed in the region above the melting layer. For the most intense lightning classes, the signatures associated with high concentrations of ice particles at high altitudes, the presence of supercooled drops above the freezing level and the occurrence of large and more oblate raindrops were observed. To analyze the possible use of reflectivity profiles as a way to indirectly assimilate GLM information into forecast models, two case studies were conducted using the Weather Research and Forecasting model. The analyses and forecasts obtained with the assimilation of radar data (reflectivity factor and Doppler winds) and with the indirect assimilation of GLM lightning density rates through mean reflectivity profiles were evaluated against a control run assimilating no data. Overall, the two assimilation experiments offered substantial improvements over the control run in terms of short-term forecasts of reflectivity patterns and storm motion. These encouraging results supports the ability of the GLM data to positively contribute to nowcasting and forecasting of convective-scale systems, especially over the vast regions of the South American continent currently suffering from limited and, even, an utter lack of observations. • Vertical reflectivity profile can represent systems of different lighting intensity. • The most significant differences among profiles are mainly in high altitudes. • Tests assimilating these profiles suggested they can improve short-term forecast. [ABSTRACT FROM AUTHOR]

The authors reflect on the special issue of the journal "Drying Technology," which focuses on research on drying technology in Brazil. They relate on the special forum Brazilian Congress of Particulate Systems (ENEMP), which discusses new developments in particulate systems in Brazil. Moreover, the author mention that selected papers in the issue were presented at the XXXIV Brazilian Congress of Particulate Systems (ENEMP 2009) in Campinas, Brazil on October 18-21, 2009.