Research on fair trade has flourished over the past decade as fair trade food products have gained popularity amongst consumers in many developed economies. This study examines the effects of recessionary economic conditions on fair trade consumers’ purchasing behaviour. An online survey was administered to 306 fair trade consumers from Canada, the United Kingdom and the United States of America. The results reveal a discrepancy among fair trade consumers as only consumers that purchase fair trade on an occasional basis adhered (...) to established consumer behaviour norms, i.e. decreasing their purchases of fair trade products and becoming significantly more price aware. Respondents who actively consume fair trade generally remained loyal to their purchase. While some active consumers altered their purchasing behaviour, this phenomenon was not common amongst this group as no statistically significant changes were observed. Differences were also noted among the three countries as the Canadian and US fair trade consumers significantly decreased their consumption of fair trade as a result of the recession, whereas the UK consumers did not. In addition to the research results, theoretical and managerial implications will be discussed along with future research directions. (shrink)

Introduction: Neurobiological systems engineering models are useful for treating patients. We show a model of “high opioid tone” autism and present a hypothesis about how autism is caused by administration of opioids during childbirth.Main Symptoms: Clinical diagnosis of autism in a 25 year old man was confirmed by a Social Responsiveness Scale self-rating of 79, severe, and a Social Communications Questionnaire by the patient's father scoring 27. Cold pressor time was 190 seconds—unusually long, consonant with the high pain tolerance of (...) autism.Therapeutic Intervention and Outcomes: At naltrexone 50 mg/day SRS fell to 54 and SCQ-−2–9; both non-significant. CPT fell to 28, repeat 39 s. Improved relatedness was experienced ambivalently, understood as feelings never before experienced—causing pain. Non-compliance with naltrexone was followed by cutting open his palm and drinking alcoholically. Transference focused psychotherapy has helped him remain naltrexone—compliant while he works on issues of identity and relatedness.Conclusion: The model suggests studies that could be conducted to both prevent and treat this form of autism. (shrink)

Entrepreneurship is increasingly considered to be integral to development; however, social and cultural norms impact on the extent to which women in developing countries engage with, and accrue the benefits of, entrepreneurial activity. Using data collected from 49 members of a rural social enterprise in North India, we examine the relationships between social entrepreneurship, empowerment and social change. Innovative business processes that facilitated women’s economic activity and at the same time complied with local social and cultural norms that constrain their (...) agency contributed to changing the social order itself. We frame emancipatory social entrepreneurship as processes that empower women and contribute to changing the social order in which women are embedded. (shrink)

In order to understand how adults deal with children's questions about death, we must examine how children understand death, as well as the broader society's conceptions of death, the tensions between biological and supernatural views of death and theories on how children should be taught about death. This collection of essays comprehensively examines children's ideas about death, both biological and religious. Written by specialists from developmental psychology, pediatrics, philosophy, anthropology and legal studies, it offers a truly interdisciplinary approach to the (...) topic. The volume examines different conceptions of death and their impact on children's cognitive and emotional development and will be useful for courses in developmental psychology, clinical psychology and certain education courses, as well as philosophy classes - especially in ethics and epistemology. This collection will be of particular interest to researchers and practitioners in psychology, medical workers and educators - both parents and teachers. (shrink)

Deep neural networks have been playing a significant role in acoustic modeling. Convolutional neural networks are the advanced version of DNNs that achieve 4–12% relative gain in the word error rate over DNNs. Existence of spectral variations and local correlations in speech signal makes CNNs more capable of speech recognition. Recently, it has been demonstrated that bidirectional long short-term memory produces higher recognition rate in acoustic modeling because they are adequate to reinforce higher-level representations of acoustic data. Spatial and temporal (...) properties of the speech signal are essential for high recognition rate, so the concept of combining two different networks came into mind. In this paper, a hybrid architecture of CNN-BLSTM is proposed to appropriately use these properties and to improve the continuous speech recognition task. Further, we explore different methods like weight sharing, the appropriate number of hidden units, and ideal pooling strategy for CNN to achieve a high recognition rate. Specifically, the focus is also on how many BLSTM layers are effective. This paper also attempts to overcome another shortcoming of CNN, i.e. speaker-adapted features, which are not possible to be directly modeled in CNN. Next, various non-linearities with or without dropout are analyzed for speech tasks. Experiments indicate that proposed hybrid architecture with speaker-adapted features and maxout non-linearity with dropout idea shows 5.8% and 10% relative decrease in WER over the CNN and DNN systems, respectively. (shrink)

In recent years, the network has become more complex, and the attacker’s ability to attack is gradually increasing. How to properly understand the network security situation and improve network security has become a very important issue. In order to study the method of extracting information about the security situation of the network based on cloud computing, we recommend the technology of knowledge of the network security situation based on the data extraction technology. It converts each received cyber security event into (...) a standard format that can be defined as multiple brochures, creating a general framework for the cyber security situation. According to the large nature of network security situation data, the Hadoop platform is used to extract aggregation rules, and perform model extraction, pattern analysis, and learning on a network security event dataset to complete network security situation rule mining, and establish a framework for assessing the state of network security. According to the results of the federal rule extraction, the level of network node security risk is obtained in combination with signal reliability, signal severity, resource impact, node protection level, and signal recovery factor. A simulation test is performed to obtain the intrusion index according to the source address of the network security alarm. Through the relevant experiments and analysis of the results, the attack characteristics obtained in this study were obtained after manually reducing the network security event in the 295 h window. The results show that after the security event is canceled, the corresponding window attack index decreases to 0, indicating that this method can effectively implement a network security situation awareness. The proposed technique allows you to accurately sense changes in network security conditions. (shrink)

Concealing information requires that adolescents manage the information that they share, which requires cognitive skills, for example, theory of mind. This study explored motivations for concealment that early adolescents endorsed concealing or disclosing to friends and parents, in relation to their theory of mind. We found that adolescents broadly endorsed disclosure to both parents and friends, even when it might mean they would face consequences, be impolite, or face negative identity-related emotions. We found that ToM ability was associated with a (...) tendency to endorse being forthcoming and sharing information with both friends and parents. These findings provide new insight into how the relation between ToM and concealment may change with age, specifically how in early adolescence it may foster open communication rather than concealment as is the case in early and middle childhood. (shrink)

Since their introduction in the early 2000s, the use of social networking websites has exploded. Many businesses are seeing increased revenue due to their social commerce strategy. Despite the popularity of social commerce websites, some consumers are still hesitate to use them. This study aims to evaluate the factors that influence the adoption of social commerce. A sample of 721 Chinese We Chat users took part in the research. The findings reveal that social capital mediates the positive effect of social (...) commerce adoption and perceived ease of use on techno-stress and online impulse purchasing. Likewise, information overloading mediates the positive effect of social commerce adoption and PERU on techno-stress and online impulse purchasing. The findings have implications for both practice and research in understanding social commerce adoption in emerging economies. (shrink)

Approaches to legal pluralism vary widely across the spectrum of different disciplines. They comprise normative and descriptive perspectives, focus both on legal pluralist realities as well as public debates, and address legal pluralism in a range of different societies with varying political, institutional and historical conditions. Emphasising an empirical research to contemporary legal pluralist settings in Muslim contexts, the present collected volume contributes to a deepened understanding of legal pluralist issues and realities through comparative examination. This approach reveals some common (...) features, such as the relevance of Islamic law in power struggles and in the construction of (state or national) identities, strategies of coping with coexisting sets of legal norms by the respective agents, or public debates about the risks induced by the recognition of religious institutions in migrant societies. At the same time, the studies contained in this volume reveal that legal pluralist settings often reflect very specific historical and social constellations, which demands caution towards any generalisation. The volume is based on papers presented at a conference in Münster (Germany) in 2016 and comprises contributions by Judith Koschorke, Karen Meeschaut, Yvonne Prief, Ulrike Qubaja, Werner de Saeger, Ido Shahar, Katrin Seidel, Konstantinos Tsitselikis, Vishal Vora and Ihsan Yilmaz. (shrink)