Fuzzy min-max neural networks for categorical data: application to missing data imputation

The fuzzy min–max neural network classifier is a supervised learning method. This classifier takes the hybrid neural networks and fuzzy systems approach. All input variables in the network are required to correspond to continuously valued variables, and this can be a significant constraint in many real-world situations where there are not only quantitative but also categorical data. The usual way of dealing with this type of variables is to replace the categorical by numerical values and treat them as if they were continuously valued. But this method, implicitly defines a possibly unsuitable metric for the categories. A number of different procedures have been proposed to tackle the problem. In this article, we present a new method. The procedure extends the fuzzy min–max neural network input to categorical variables by introducing new fuzzy sets, a new operation, and a new architecture. This provides for greater flexibility and wider application. The proposed method is then applied to missing data imputation in voting intention polls. The micro data—the set of the respondents’ individual answers to the questions—of this type of poll are especially suited for evaluating the method since they include a large number of numerical and categorical attributes

Area-level and individual correlates of active transportation among adults in Germany: A population-based multilevel study

This study aimed at estimating the prevalence in adults of complying with the aerobic physical activity (PA) recommendation through transportation-related walking and cycling. Furthermore, potential determinants of transportation-related PA recommendation compliance were investigated. 10,872 men and 13,144 women aged 18 years or older participated in the cross-sectional 'German Health Update 2014/15 - EHIS' in Germany. Transportation-related walking and cycling were assessed using the European Health Interview Survey-Physical Activity Questionnaire. Three outcome indicators were constructed: walking, cycling, and total active transportation (>= 600 metabolic equivalent, MET-min/week). Associations were analyzed using multilevel regression analysis. Forty-two percent of men and 39% of women achieved >= 600 MET-min/week with total active transportation. The corresponding percentages for walking were 27% and 28% and for cycling 17% and 13%, respectively. Higher population density, older age, lower income, higher work-related and leisure-time PA, not being obese, and better self-perceived health were positively associated with transportation-related walking and cycling and total active transportation among both men and women. The promotion of walking and cycling among inactive people has great potential to increase PA in the general adult population and to comply with PA recommendations. Several correlates of active transportation were identified which should be considered when planning public health policies and interventions

Political airs : from monitoring to attuned sensing air pollution

In Madrid, as in many European cities, air pollution is known about and made accountable through techno-scientific monitoring processes based on data, and the toxicity of the air is defined through epidemiological studies and made political through policy. In 2009, Madrid’s City Council changed the location of its air quality monitoring stations without notice, reducing the average pollution of the city and therefore provoking a public scandal. This scandal challenged the monitoring process, as the data that used to be the evidence of pollution could not be relied on anymore. To identify the characteristics of some of the diverse forms of public’s participation that emerged, I route theories of environmental sensing from STS and feminist theory through the notion of attuned sensing. Reading environmental sensing through the processual and orientational processes of attunement expands the ways in which toxicity can be sensed outside of quantitative data. This mode of sensing recognizes how the different spontaneous attunements to and with air pollution and the scandal acknowledged Madrid’s chemical infrastructure, rendering visible qualitative conditions of toxicity. This mode of sensing politicized the toxicity of the air not through management or policy making, nor only through established forms environmental activism, but through contagion and accumulation of the different forms of public participation. All together, they made air pollution a matter of public concern. They also redistributed the actors, practices and objects that make the toxicity not only knowable, but also accountable, and most importantly, they opened up spaces for citizen intervention

The branded and gendered Brazilian body: Material and symbolic constructions in an overlooked context

Since its first conference in 2006, CCT has been growing in size and reach. Some have noted that CCT has become much more European in the recent years, with North American and European countries taking turns to host the event

A linguistic analysis of lying in negative evaluations: The speech act performance of Chinese learners of Korean

이 논문은 중국인 한국어 학습자와 한국어 화자들 사이의 ‘거짓말’ 화행 양상을 언어학적으로 분석한 연구이다. 여기서 말하는 ‘거짓말’이란 요청, 사과, 거절 등과 같은 화행의 일종으로서 ‘부정적 평가’에 속하며 대화 참여자나 상황을 고려한 소위 ‘선의의 거짓말’을 가리키는 것으로 이해할 수 있을 것이다. 우리는 중국인 한국어 학습자 15명과 한국어 화자 15명을 대상으로 담화완성테스트(DCT)와 부연설명질문지(QFE)를 사용하여 피실험자들의 화행을 분석하였다. 피실험자 자신들의 설명과 한국어교육 전문가 다섯 명의 판정을 종합해 ‘거짓말’ 화행을 가려내고 통계 처리를 바탕으로 다음과 같은 결론에 도달했다. 한국어 화자들이 중국인 한국어 학습자들보다 (선의의) 거짓말을 더 많이 수행하는 것으로 나타났다. 그리고 두 집단 모두 부정적 평가가 사물에 관련된 경우보다 사람에 관련된 경우에 ‘거짓말’ 화행을 더 많이 사용한다. 그러나 화자와 청자 사이의 친소관계(distance)나 상하관계(power)는 거짓말 사용에 직접적 상관 관계를 보여주지 않았다. 이 연구는 지금까지 화행 연구 중에서 상대적으로 연구가 부진했던 부정평가와 ‘거짓말’ 화행에 대한 분석을 시도했다는 점에서 의미가 있다. 또한 한국어 화자와 중국인 한국어 학습자 사이에 보이는 화행 수행의 차이를 문화인식(cultural awareness)의 관점에서 해석해 볼 수 있는 가능성도 열어 주었다

Programming environments: environmentality and citizen sensing in the smart city

A new wave of smart cities projects is underway that proposes to deploy sensor-based ubiquitous computing across urban infrastructures and mobile devices to achieve greater sustainability. But in what ways do these smart and sustainable cities give rise to distinct material-political arrangements and practices that potentially delimit urban “citizenship” to a series of actions focused on monitoring and managing data? And what are the implications of computationally organized distributions of environmental governance that are programmed for distinct functionalities, and are managed by corporate and state actors that engage with cities as datasets to be manipulated? Working through an early and formative smart cities design proposal, the Connected Sustainable Cities (CSC) project, developed by MIT and Cisco within the Connected Urban Development initiative from 2007 to 2008, this paper discusses the ways in which smart city proposals might be understood through processes of environmentality, or the distribution of governance within and through environments and environmental technologies. Revisiting and reworking Foucault’s notion of environmentality in the context of the CSC smart cities design proposal, this paper advances an approach to environmentality that deals not with the production of environmental subjects, but rather attends to the specific spatial-material distribution and relationality of power through environments, technologies and ways of life. By updating and advancing environmentality through a discussion of computational urbanisms, this paper considers how practices and operations of citizenship emerge that are a critical part of the imaginings of smart and sustainable cities. This re-versioning of environmentality through the smart city recasts who or what counts as a “citizen,” and attends to the ways in which citizenship is articulated environmentally through the distribution and feedback of monitoring and urban data practices, rather than through governable subjects or populations

ESTRO consensus guideline for target volume delineation in the setting of postmastectomy radiation therapy after implant-based immediate reconstruction for early stage breast cancer

© 2019 Elsevier B.V. Immediate breast reconstruction (IBR) rates after mastectomy are increasing. Postmastectomy radiation therapy (PMRT) contouring guidelines for target volumes in the setting of IBR are lacking. Therefore, many patients who have had IBR receive PMRT to target volumes similar to conventional simulator-based whole breast irradiation. The aim of this paper is to describe delineation guidelines for PMRT after implant-based IBR based on a thorough understanding of the surgical procedures, disease stage, patterns of recurrence and radiation techniques. They are based on a consensus endorsed by a global multidisciplinary group of breast cancer experts

Automated Adaptation Strategies for Stream Learning

Automation of machine learning model development is increasingly becoming an established research area. While automated model selection and automated data pre-processing have been studied in depth, there is, however, a gap concerning automated model adaptation strategies when multiple strategies are available. Manually developing an adaptation strategy can be time consuming and costly. In this paper we address this issue by proposing the use of flexible adaptive mechanism deployment for automated development of adaptation strategies. Experimental results after using the proposed strategies with five adaptive algorithms on 36 datasets confirm their viability. These strategies achieve better or comparable performance to the custom adaptation strategies and the repeated deployment of any single adaptive mechanism

Consórcio couve-coentro em cultivo orgânico e sua influência nas populações de joaninhas.

O consórcio de culturas é comumente praticado na produção de hortaliças devido a diversos benefícios econômicos. Em alguns casos, podem reduzir infestações de pragas por favorecer a conservação dos inimigos naturais nos agroecossistemas. Avaliou-se a viabilidade agronômica do consórcio de couve e coentro, sob manejo orgânico, com base em parâmetros fitotécnicos, além de sua influência sobre populações de joaninhas (Coleoptera: Coccinellidae), na comparação com os respectivos cultivos solteiros. O coentro, representando a cultura secundária, foi utilizado com a finalidade de fornecer recursos para as joaninhas. O estudo foi realizado em área do Sistema Integrado de Produção Agroecológica em Seropédica-RJ. O experimento consistiu dos consórcios: 1) couve consorciada com coentro, cujas quatro linhas de plantas foram colhidas na fase vegetativa (consórcio I), e 2) couve consorciada com coentro, cujas plantas das duas linhas internas (próximas à linha da couve) foram colhidas na fase vegetativa e as duas linhas externas foram cortadas após floração (consórcio II). Em ambos consórcios foram avaliados os parâmetros fitotécnicos da couve e do coentro na fase vegetativa (padrão comercial), enquanto que no consórcio II, também se avaliou as populações de joaninhas, por meio de coletas semanais de adultos, em comparação com a couve em cultivo solteiro. O delineamento experimental foi em blocos ao acaso com quatro repetições. O coentro não interferiu na produtividade da couve consorciada e sua introdução contribuiu positivamente para a abundância e diversidade de espécies de joaninhas. O índice de equivalência de área para o consórcio I, com referência aos rendimentos de biomassa aérea fresca, foi superior em 92% em relação ao cultivo solteiro. Este resultado demonstra a viabilidade do consórcio I, no manejo orgânico adotado, para plantios de outono nas condições edafoclimáticas da Baixada Fluminense

Global Policy Barriers and Enablers to Exercise and Physical Activity in Kidney Care

Objective: Impairment in physical function and physical performance leads to decreased independence and health-related quality of life in people living with chronic kidney disease and end-stage kidney disease. Physical activity and exercise in kidney care are not priorities in policy development. We aimed to identify global policy-related enablers, barriers, and strategies to increase exercise participation and physical activity behavior for people living with kidney disease. Design and Methods: Guided by the Behavior Change Wheel theoretical framework, 50 global renal exercise experts developed policy barriers and enablers to exercise program implementation and physical activity promotion in kidney care. The consensus process consisted of developing themes from renal experts from North America, South America, Continental Europe, United Kingdom, Asia, and Oceania. Strategies to address enablers and barriers were identified by the group, and consensus was achieved. Results: We found that policies addressing funding, service provision, legislation, regulations, guidelines, the environment, communication, and marketing are required to support people with kidney disease to be physically active, participate in exercise, and improve health-related quality of life. We provide a global perspective and highlight Japanese, Canadian, and other regional examples where policies have been developed to increase renal physical activity and rehabilitation. We present recommendations targeting multiple stakeholders including nephrologists, nurses, allied health clinicians, organizations providing renal care and education, and renal program funders. Conclusions: We strongly recommend the nephrology community and people living with kidney disease take action to change policy now, rather than idly waiting for indisputable clinical trial evidence that increasing physical activity, strength, fitness, and function improves the lives of people living with kidney disease