Abstract
International trade, enabled by rapid technological advances, has had a profound effect on the way employees work and communicate in a borderless, virtual environment. Within this context, classroom collaboration through online virtual teams can be an effective strategy to enhance intercultural and employability skills. Research in this area advocates that using digital media to connect students with international classrooms is an easy and efficient way to develop intercultural competence. In this paper we describe and present the results of one such initiative. The authors have designed and implemented virtual and experiential intercultural communications assignments across four countries: Germany, Portugal, Scotland, and the United States. By creating virtual teams and then simulating a real-world team project, we have been able to study how students work with, and react to, teammates from other cultures. We explored students' views and opinions on the expected outcomes of their international experience in virtual teams and the potential impact of online intercultural learning experiences on their future employability. The findings suggest that collaborative online international learning (COIL) can help to develop the kind of soft skills that employers value and need in the globalized workplace. © This work is licensed under a Creative Commons License CC BY-NC-ND 4.0

Abstract
Purpose - Perfume is arguably one of the most challenging experience products offered online. This article explores how the associations between the human senses of olfaction and audition can help consumers recognize the characteristics of the scent in the absence of the real scent. Method - Given the scarcity of contributions regarding online shopping behavior for perfume, an exploratory qualitative approach was implemented. Twenty-seven in-depth interviews were conducted among individuals from three countries with prior experience of purchasing perfume online. Results -The study highlights the associations made by the interviewees between the types of sounds/voice and types of scents and the complementary role of these cues in online shopping of perfume. Practical implications - Both e-sellers and e-buyers can benefit from the findings of this research. In fact, it is likely that e-shoppers decide to either consider or ignore an unknown perfume for purchase based on the scent signals perceived from sounds, which can provide guidance for e-sellers as well.

Abstract
Purpose In the context of European consumers' experiences of austerity, this study aims to advance current resilience theory in marketing through developing persistent resilience from a context of austerity influenced consumption. Design/methodology/approach Following an interpretivist approach, 38 face to face, in-depth interviews were conducted with European consumers from Ireland, UK, Spain, Portugal, Italy and Greece who were affected in some way by the global financial crisis. Findings Building upon limited conceptual and empirical investigations in social geography, the analysis identifies the themes of persistent stressors and temporal orientation as constants, alongside day-to-day coping, relating and pragmatism, consumer adjustment, repertoires of resistance and transformation as key elements of persistent resilience within the consumption context of austerity. Research limitations/implications The study addresses the limited theoretical and empirical focus on persistent resilience and austerity and directly contributes to consumer behaviour and marketing theory in understanding persistent resilience and its implications. Practical implications Changes to behaviours as a result of persistent resilience included reducing and stopping consumption, discount shopping, alternative consumption in the form of growing or making and mindful consumption through wastage reduction and re-use. Social implications The study highlights the significant social impact of austerity while also identifying positive outcomes for social relations among family, friends and the wider community. Originality/value This study develops and extends Golubchikov's (2011) theory of persistent resilience through exploring European consumer responses to austerity, identifying key consumption characteristics relevant for marketing theory and practice.

Abstract
By means of a cross-cultural virtual teams project involving classrooms in Scotland, Germany, and Portugal, students were exposed to the challenges of collaborating internationally with the intention of increasing their intercultural competency. Intercultural sensitivity and intercultural communication competency were measured using responses to surveys before and after the 6-week project. Students reported, among other aspects, a heightened awareness of the difficulties of intercultural communication. Despite a general appreciation of the project and its outcomes, negative results, such as an increased dislike of intercultural interaction, emerged. Contradictory results warrant further investigation with data from future collaborations.

Abstract
This paper proposes the linear frequency cepstral coefficients as highly discriminative features for anomaly detection in ball bearings using vibration sensor data. These features are based on cepstral analysis and are capable of encoding the patterns of a spectral magnitude profile. Incipient damages on bearings can grow rapidly under normal use resulting in vibration and harsh noise. If left undetected, this damage will worsen, leading to high maintenance costs or even injury. Multiple interferences in an industrial environment contaminate the signal, making it a challenge to correctly identify the bearings' condition. Many studies have attempted to overcome this issue at the signal level. However, the discriminative capacity of the current vibration signal features is still vulnerable to interference, which motivates this work. In order to demonstrate the benefits of these features, we (1) show that they are computationally efficient and suitable for real-time incremental training; (2) conduct discriminative analysis by evaluating the separability performance and comparing it with the state of the art; and (3) test the robustness of the proposed features under noise interference, which is ideal for use in the harsh operating conditions of industrial machinery. The data was obtained from a laboratory workbench setting that reproduces bearing fault scenarios. Results show that the proposed features are fast, competitive when compared to state-of-the-art features, and resilient to high levels of interference. Despite the higher performance when using the quadratic model, the proposed features remain highly discriminative when used with several other discriminant function.

Abstract
The dynamic behavior of urban mobility patterns makes matching taxi supply with demand as one of the biggest challenges in this industry. Recently, the increasing availability of massive broadcast GPS data has encouraged the exploration of this issue under different perspectives. One possible solution is to build a data-driven real-time taxi-dispatching recommender system. However, existing systems are based on strong assumptions such as stationary demand distributions and finite training sets, which make them inadequate for modeling the dynamic nature of the network. In this paper, we propose BRIGHT: a drift-aware supervised learning framework which aims to provide accurate predictions for short-term horizon taxi demand quantities through a creative ensemble of time series analysis methods that handle distinct types of concept drift. A large experimental set-up which includes three real-world transportation networks and a synthetic test-bed with artificially inserted concept drifts, was employed to illustrate the advantages of BRIGHT when compared to S.o.A methods for this problem.