60419 research outputs found
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Threat of infectious disease during an outbreak: Influence on tourists’ emotional responses to disadvantaged price inequality
The ongoing COVID-19 pandemic has negatively influenced the global tourism industry. Despite the documented negative impacts of diseases on tourism demand and people’s perceived health risk, researchers have seldom examined the psychological responses of tourists travelling during an infectious disease outbreak. We therefore conducted three studies to examine this key aspect, and our findings indicate that tourists have a strong negative emotional reaction towards disadvantaged tourism-related prices in response to a high (vs low) infectious disease threat. Furthermore, risk aversion acts as an underlying mechanism driving this effect: tourists are more risk aversive under the threat of an infectious disease, which consequently magnifies their negative emotional reaction. At last, theoretical and practical implications of these findings for tourism are discussed
Brain gyrification in wild and domestic canids: Has domestication changed the gyrification index in domestic dogs?
Over the last 15 years, research on canid cognition has revealed that domestic dogs possess a surprising array of complex socio‐cognitive skills pointing to the possibility that the domestication process might have uniquely altered their brains; however, we know very little about how evolutionary processes (natural or artificial) might have modified underlying neural structure to support species‐specific behaviors. Evaluating the degree of cortical folding (i.e., gyrification) within canids may prove useful, as this parameter is linked to functional variation of the cerebral cortex. Using quantitative magnetic resonance imaging to investigate the impact of domestication on the canine cortical surface, we compared the gyrification index (GI) in 19 carnivore species, including six wild canid and 13 domestic dog individuals. We also explored correlations between global and local GI with brain mass, cortical thickness, white and grey matter volume and surface area. Our results indicated that GI values for domestic dogs are largely consistent with what would be expected for a canid of their given brain mass, although more variable than that observed in wild canids. We also found that GI in canids is positively correlated with cortical surface area, cortical thickness and total cortical grey matter volumes. While we found no evidence of global differences in GI between domestic and wild canids, certain regional differences in gyrification were observed
Visitors’ Place Attachment and Destination Loyalty: Examining the Roles of Emotional Solidarity and Perceived Safety
Hosting ethnically and culturally rich religious festivals provides visitors a glimpse into how a sense of togetherness and faith are not only established but strengthened through shared beliefs and ritualistic behavior. This research examines visitors’ destination loyalty through their emotional bonding with place, the emotional solidarity they experience with residents, and their perceived level of safety. Based on data collected from 813 visitors during the Attur Church Feast in Karkala, India, the results indicated that place attachment directly influences loyalty and two dimensions of emotional solidarity and, in turn, emotional solidarity has a positive effect on loyalty. Additionally, it was found that emotional solidarity partially mediates the effect of place attachment on destination loyalty. Finally, employing a moderated mediation analysis, visitor level of perceived safety at the festival partially moderated the indirect effect of place attachment on destination loyalty through emotional solidarity
Sharing Care: Equal and Primary Carer Fathers and Early Years Parenting
Drawing on detailed qualitative research, this timely study explores the experiences of fathers who take on equal or primary care responsibilities for young children.
The authors examine what prompts these arrangements, how fathers adjust to their caregiving roles over time, and what challenges they face along the way.
The book asks what would encourage more fathers to become primary or equal caregivers, and how we can make things easier for those who do. Offering new academic insight and practical recommendations, this will be key reading for those interested in parenting, families and gender, including researchers, policymakers, practitioners and students.</p
Teacher feedback literacy and its interplay with student feedback literacy
Feedback processes are difficult to manage, and the accumulated frustrations of teachers and students inhibit the learning potential of feedback. In this conceptual paper, challenges to the development of effective feedback processes are reviewed and a new framework for teacher feedback literacy is proposed. The framework comprises three dimensions: a design dimension focuses on designing feedback processes for student uptake and enabling student evaluative judgment; a relational dimension represents the interpersonal side of feedback exchanges; and a pragmatic dimension addresses how teachers manage the compromises inherent in disciplinary and institutional feedback practices. Implications discuss the need for partnership approaches to feedback predicated on shared responsibilities between teachers and students, and the interplay between teacher and student feedback literacy. Key recommendations for practice are suggested within the design, relational and pragmatic dimensions. Avenues for further research are proposed, including how teacher and student feedback literacy might be developed in tandem
Timed physical exercise does not influence circadian rhythms and glucose tolerance in rotating night shift workers – the EuRhythDia study
Exploring stories of learning and professional development: interactions between GP personal tutors and medical students
Background: The demanding environment at medical school results in some students being prone to a high risk of mental health issues. GMC recommendations include positioning personal tutors for pastoral support and to act as academic role models. Tutors who are clinicians, such as GPs, could help students develop their academic and professional narratives. Our study explores interactions between GP tutors and students and evaluates how personal tutoring can support the ways in which students respond to the medical school culture and its demands.
Method: Six pairs of GP tutors and medical students had three personal tutor meetings over 9 months. Twelve meetings were recorded. A dialogical narrative analytical approach was used to assess how students’ problems and reflective processes were negotiated with tutors. Three themes were formed to consolidate findings.
Results: Tutors’ affirmations helped students develop an alternative narrative to perfectionism focusing on ‘doing well’ and self-care. Reflection on students’ perceptions of a medical career were prompted by tutors who encouraged students to keep an open-minded and enthusiastic outlook. Active participation from students sometimes required tutors to relinquish hierarchical power and share personal experiences.
Conclusion: GP tutors can help reframe student narratives of perfectionism and professionalism by expressing their vulnerabilities and working collaboratively. With clear guidance, there is potential for personal tutors working as GPs, to benefit students in the long run both academically and professionally. However, this should go hand in hand with a transformation of medical school culture to prevent sole focus on building student resilience
Multi-Band Multi-Resolution Fully Convolutional Neural Networks for Singing Voice Separation
Deep neural networks with convolutional layers
usually process the entire spectrogram of an audio signal with the same time-frequency resolutions, number of filters, and dimensionality reduction scale. According to the constant-Q transform, good features can be extracted from audio signals if the low frequency bands are processed with high frequency resolution filters and the high frequency bands with high time resolution filters. In the spectrogram of a mixture of singing voices and music signals, there is usually more information about
the voice in the low frequency bands than the high frequency
bands. These raise the need for processing each part of the
spectrogram differently. In this paper, we propose a multi-band multi-resolution fully convolutional neural network (MBR-FCN) for singing voice separation. The MBR-FCN processes the frequency bands that have more information about the target signals with more filters and smaller dimensionality reduction scale than
the bands with less information. Furthermore, the MBR-FCN
processes the low frequency bands with high frequency resolution filters and the high frequency bands with high time resolution filters. Our experimental results show that the proposed MBRFCN with very few parameters achieves better singing voice separation performance than other deep neural networks
Adoption timing of OHSAS 18001 and firm performance: An institutional theory perspective
Previous studies have shed light on the effects of the adoption of OHSAS (Occupational Health and Safety Assessment Series) 18,001 certification on performance. One important factor that has been neglected so far is the adoption timing. The question of whether early OHSAS 18001 adopters achieve better financial performance and operational performance than do late adopters (or vice versa) remains unanswered. We develop hypotheses and then analyze the secondary longitudinal data of listed Chinese manufacturing firms by employing a rigorous event study approach and performing regressions. The results indicate that early adopters enjoy significantly greater performance gains than do late adopters and this can be explained by institutional theory. We find that early adopters of OHSAS 18001 certification motivated by normative pressure realize additional financial performance from the second year to the fourth year after adoption, and the early adopter advantages of improved labor productivity can at least last in the medium term, but late adopters motivated by coercive and mimetic pressure only benefit in the preparation year. Moreover, early adoption is more favorable to firms with high labor intensity and low internationalization level. Thus, this study extends research in understanding the effects of OHSAS 18001 on firm performance and suggest new insights to the implementation of occupational health and safety practices
Sound Event Detection of Weakly Labelled Data with CNN-Transformer and Automatic Threshold Optimization
Sound event detection (SED) is a task to detect sound
events in an audio recording. One challenge of the SED task
is that many datasets such as the Detection and Classification of Acoustic Scenes and Events (DCASE) datasets are weakly labelled. That is, there are only audio tags for each audio clip without the onset and offset times of sound events. We compare segment-wise and clip-wise training for SED that is lacking in previous works. We propose a convolutional neural network transformer (CNN-Transfomer) for audio tagging and SED, and show that CNN-Transformer performs similarly to a convolutional recurrent neural network (CRNN). Another challenge of SED is that thresholds are required for detecting
sound events. Previous works set thresholds empirically, and are not an optimal approaches. To solve this problem, we propose an automatic threshold optimization method. The first stage is to optimize the system with respect to metrics that do not depend on thresholds, such as mean average precision (mAP). The second
stage is to optimize the thresholds with respect to metrics that depends on those thresholds. Our proposed automatic threshold optimization system achieves a state-of-the-art audio tagging F1 of 0.646, outperforming that without threshold optimization of
0.629, and a sound event detection F1 of 0.584, outperforming that without threshold optimization of 0.564