Detection and Identification of Abnormalities in Customer Consumptions in Power Distribution Systems

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Evaluation of urban ants (hymenoptera: formicidae) as vectors of microorganisms in residential and industrial environments: II. Fungi

Collections in households and industrial kitchens were done aiming at evaluating the potential of urban ants in spreading fungi. The most abundant ant species in households were Tapinoma melanocephalum and Paratrechina longicornis. In industrial kitchens Paratrechina longicornis and Monomorium floricola were the most common. Tapinoma melanocephalum was the species that most carried fungi, followed by Paratrechina longicornis, Tetramorium sp., Monomorium pharaonis and Monomorium floricola. An aflatoxigenic strain of Aspergillus flavus was isolated.

Rational use of residential digesters for sewage treatment with Carbon Credits

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Sistema inteligente híbrido intercomunicativo para detecção de perdas comerciais

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Análise de perdas na rede de distribuição de água em um subsetor da cidade de Presidente Prudente - SP

Pós-graduação em Engenharia Civil - FEIS

Responsabilidade social e satisfação do consumidor: um estudo de caso

O tema deste estudo é o fenômeno empresarial responsabilidade social. Esta pesquisa constitui um estudo de caso com uma empresa socialmente responsável, objetivando verificar a percepção do consumidor acerca da responsabilidade social desta empresa e sua influência, em conjunto com algumas variáveis de desempenho empresarial (preço da tarifa, serviço de energia elétrica, atendimento ao cliente, comunicação com o cliente), na satisfação do consumidor. A empresa estudada foi a Rede Celpa Centrais Elétricas do Pará S.A. Em estudo preliminar foi desenvolvido um instrumental de mensuração do significado atribuído pelo consumidor ao termo responsabilidade social (Escala de Significado de Responsabilidade Social), validado com amostra de 672 consumidores belenenses. Esta escala foi adaptada e renomeada para Escala de Responsabilidade Social, a fim de ser utilizada no presente estudo. Também foram construídos mais dois instrumentos (Indicadores de Desempenho Empresarial e Avaliação de Satisfação do Consumidor) para alcançar os objetivos pretendidos. O levantamento dos dados se deu por meio de análise de documentos existentes na empresa; entrevistas em profundidade com a categoria diretiva da empresa; amostragem residencial de 595 consumidores de energia elétrica, moradores dos bairros Cremação e Umarizal, na cidade de Belém. Os dados foram analisados através de Análise de Conteúdo, Análise Fatorial e Análise de Regressão Múltipla e Hierárquica. O fato da concessionária Rede Celpa realizar ações de cunho socialmente responsável ainda não é claramente percebido pelo seu consumidor, embora tenha ciência de que a empresa cumpre obrigações legais no trato de funcionários, consumidores e meio ambiente. As variáveis de desempenho empresarial atestaram efeito sobre a satisfação do consumidor, embora tenha restado uma margem de variância não explicada sugerindo a necessidade de explorar outras variáveis antecedentes. A empresa teve seus atributos avaliados com conceitos variando de razoável a bom pelo consumidor, o que contribui para que este demonstre grau moderado quanto à satisfação em consumir desta concessionária.

Effects of residential energy-saving lamps on the attraction of nocturnal insects

Many species of insects display a disposition to move towards light. As a consequence, nocturnal artificial lighting often contributes to an increase in insect population among humans. We tested the hypothesis that residential white lamps can evoke significantly different attraction to insects even when their light outputs are nearly indistinguishable to humans. In a two-choice experiment using insect traps equipped with either a compact fluorescent or a LED light source with similar photometric specifications, about three times more insects were captured in the trap with a compact fluorescent lamp than in the LED trap. The results suggest that LED lamps are preferable to compact fluorescent lamps when the objective is to avoid attracting nocturnal insects to households.

Customer Evolution in Sales Channel Migration

This research has been triggered by an emergent trend in customer behavior: customers have rapidly expanded their channel experiences and preferences beyond traditional channels (such as stores) and they expect the company with which they do business to have a presence on all these channels. This evidence has produced an increasing interest in multichannel customer behavior and it has motivated several researchers to study the customers’ channel choices dynamics in multichannel environment. We study how the consumer decision process for channel choice and response to marketing communications evolves for a cohort of new customers. We assume a newly acquired customer’s decisions are described by a “trial” model, but the customer’s choice process evolves to a “post-trial” model as the customer learns his or her preferences and becomes familiar with the firm’s marketing efforts. The trial and post-trial decision processes are each described by different multinomial logit choice models, and the evolution from the trial to post-trial model is determined by a customer-level geometric distribution that captures the time it takes for the customer to make the transition. We utilize data for a major retailer who sells in three channels – retail store, the Internet, and via catalog. The model is estimated using Bayesian methods that allow for cross-customer heterogeneity. This allows us to have distinct parameters estimates for a trial and an after trial stages and to estimate the quickness of this transit at the individual level. The results show for example that the customer decision process indeed does evolve over time. Customers differ in the duration of the trial period and marketing has a different impact on channel choice in the trial and post-trial stages. Furthermore, we show that some people switch channel decision processes while others don’t and we found that several factors have an impact on the probability to switch decision process. Insights from this study can help managers tailor their marketing communication strategy as customers gain channel choice experience. Managers may also have insights on the timing of the direct marketing communications. They can predict the duration of the trial phase at individual level detecting the customers with a quick, long or even absent trial phase. They can even predict if the customer will change or not his decision process over time, and they can influence the switching process using specific marketing tools

The temporal pattern of customer satisfaction: a construal-level approach

Customer satisfaction has been traditionally studied and measured regardless of the time elapsed since the purchase. Some studies have recently reopened the debate about the temporal pattern of satisfaction. This research aims to explain why “how you evaluate a service depends on when you evaluate it” on the basis of the theoretical framework proposed by Construal-Level Theory (CLT). Although an empirical investigation is still lacking, the literature does not deny that CLT can be applied also with regard to past events. Moreover, some studies support the idea that satisfaction is a good predictor of future intentions, while others do not. On the basis of CLT, we argue that these inconsistent results are due to the different construal levels of the information pertaining to retrospective and prospective evaluations. Building on the Two-Factor Theory, we explain the persistence of certain attributes’ representations over time according to their relationship with overall performance. We present and discuss three experiments and one field study that were conducted a) to test the extensibility of CLT to past events, b) to disentangle memory and construal effects, c) to study the effect of different temporal perspective on overall satisfaction judgements, and d) to investigate the temporal shift of the determinants of customer satisfaction as a function of temporal distance.

Sistemi hands-free basati su smart-glass a supporto di attivita di customer care di un'impresa

Da alcuni anni in ambito business ed enterprise si sta diffondendo l'utilizzo di dispositivi wearable al fine di rendere più efficiente ed efficace la gestione di molteplici attività e processi aziendali. I sistemi hand-held comunemente utilizzati in ambito lavorativo, tra cui smartphone e tablet, spesso non risultano idonei in contesti in cui un operatore debba interagire con il dispositivo mentre ha le proprie mani impegnate con attrezzature e strumenti di lavoro. I sistemi hands-free rimediano a tali problematiche supportando tecniche di interazione non convenzionali che consentono all'operatore di mantenere libere le proprie mani durante la consultazione del dispositivo e di rimanere concentrato sull'attività che sta svolgendo. I sistemi basati su smart-glass, oltre ad offrire funzionalità hands-free, presentano l'ulteriore vantaggio di poter presentare all'interno del campo visivo dell'utente importanti informazioni di supporto inerenti all'attività che sta svolgendo, avvalendosi anche dell'utilizzo di tecnologie di realtà aumentata. La sinergia tra dispositivi basati su smart-glass e tecniche di realtà aumentata sta destando un crescente interesse sia in ambito accademico che industriale; esiste la possibilità che in un prossimo futuro questa tipologia di sistemi divenga la nuova piattaforma computazionale enterprise di riferimento. L'obiettivo di questo lavoro di tesi è stato lo studio e la progettazione di una soluzione hands-free basata su smart-glass in grado di supportare alcune attività di customer care del Gruppo Loccioni, una società che si occupa dello sviluppo di sistemi automatici di misura e controllo per migliorare la qualità, l'efficienza e la sostenibilità di prodotti, processi ed edifici. In particolare, il sistema sviluppato ha consentito di migliorare la gestione dei processi di manutenzione e riparazione degli impianti energetici sostenibili che il Gruppo Loccioni installa presso le sedi di imprese clienti.

Examining the Justification for Residential Recycling

Municipalities in the United States have for the past two decades initiated two policies to reduce residential solid waste generation by increasing recycling. The first policy, implemented in over 4,000 municipalities in the United States, requires households to pay a fee for each unit of garbage presented at the curb for collection. The second policy, initiated in 8,875 municipalities, subsidizes household recycling efforts by providing free curbside collection of certain recyclable materials. Both initiatives serve as examples of incentive-based environmental policies favored by many economists. But before economists can celebrate this wide-spread adoption of incentive-based environmental policies, further examination reveals that potentially inefficient command and control policies have been more instrumental in promoting recycling than might be commonly known. This article examines the empirical lessons gained from studying twenty years of solid waste policy in the United States and argues for the replacement of several state recycling mandates with a system of state and/or national landfill taxes.

The Economics of Residential Solid Waste Management

This paper provides a broad overview of recent trends in solid waste and recycling, related public policy issues, and the economics literature devoted to these topics. Public attention to solid waste and recycling has increased dramatically over the past decade both in the United States and in Europe. In response, economists have developed models to help policy makers choose the efficient mix of policy levers to regulate solid waste and recycling activities. Economists have also employed different kinds of data to estimate the factors that contribute to the generation of residential solid waste and recycling and to estimate the effectiveness of many of the policy options employed.

Depressive symptoms as a predictor of alcohol relapse after residential treatment programs for alcohol use disorder

Alcohol use disorder (AUD) and depressive disorders often co-occur. Findings on the effects of major depressive disorder (MDD) or depressive symptoms on posttreatment alcohol relapse are controversial. The study's aim is to examine the association of MDD and depressive symptoms with treatment outcomes after residential AUD programs. In a naturalistic-prospective, multisite study with 12 residential AUD treatment programs in the German-speaking part of Switzerland, 64 patients with AUD with MDD, 283 patients with AUD with clinically significant depressive symptoms at admission, and 81 patients with AUD with such problems at discharge were compared with patients with AUD only on alcohol use, depressive symptoms, and treatment service utilization. MDD was provisionally identified at admission and definitively defined at discharge. Whereas patients with MDD did not differ from patients with AUD only at 1-year follow-up, patients with AUD with clinically significant depressive symptoms had significantly shorter time-to-first-drink and a lower abstinence rate. These patients also had elevated AUD indices and treatment service utilization for psychiatric disorders. Our results suggest that clinically significant depressive symptoms are a substantial risk factor for relapse so that it may be important to treat them during and after residential AUD treatment programs.

Treatment outcomes of an integrated residential programme for patients with schizophrenia and substance use disorder

About half of all schizophrenic patients have a co-occurring substance use disorder, leading to poorer social and functional outcomes than obtained in non-abusing patients. To improve outcomes, integrated treatments have been designed that address the two conditions simultaneously. Results are, however, conflicting because the available effect studies are hampered by various methodological issues, among which are heterogeneous patient samples.

A prediction model for assessing residential radon concentration in Switzerland

Indoor radon is regularly measured in Switzerland. However, a nationwide model to predict residential radon levels has not been developed. The aim of this study was to develop a prediction model to assess indoor radon concentrations in Switzerland. The model was based on 44,631 measurements from the nationwide Swiss radon database collected between 1994 and 2004. Of these, 80% randomly selected measurements were used for model development and the remaining 20% for an independent model validation. A multivariable log-linear regression model was fitted and relevant predictors selected according to evidence from the literature, the adjusted R², the Akaike's information criterion (AIC), and the Bayesian information criterion (BIC). The prediction model was evaluated by calculating Spearman rank correlation between measured and predicted values. Additionally, the predicted values were categorised into three categories (50th, 50th-90th and 90th percentile) and compared with measured categories using a weighted Kappa statistic. The most relevant predictors for indoor radon levels were tectonic units and year of construction of the building, followed by soil texture, degree of urbanisation, floor of the building where the measurement was taken and housing type (P-values <0.001 for all). Mean predicted radon values (geometric mean) were 66 Bq/m³ (interquartile range 40-111 Bq/m³) in the lowest exposure category, 126 Bq/m³ (69-215 Bq/m³) in the medium category, and 219 Bq/m³ (108-427 Bq/m³) in the highest category. Spearman correlation between predictions and measurements was 0.45 (95%-CI: 0.44; 0.46) for the development dataset and 0.44 (95%-CI: 0.42; 0.46) for the validation dataset. Kappa coefficients were 0.31 for the development and 0.30 for the validation dataset, respectively. The model explained 20% overall variability (adjusted R²). In conclusion, this residential radon prediction model, based on a large number of measurements, was demonstrated to be robust through validation with an independent dataset. The model is appropriate for predicting radon level exposure of the Swiss population in epidemiological research. Nevertheless, some exposure misclassification and regression to the mean is unavoidable and should be taken into account in future applications of the model.