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Connection and Cohesion in a Co-designed Virtual World: Experience of Online Aphasia Groups
Get PDFPeople who have aphasia report having reduced social networks and social activity. This paper introduces and explores experiences in EVA Park, an accessible multi-user virtual world, co-designed with people with aphasia. The study reports 16 people with aphasia taking part in virtual world social support groups in EVA Park, exploring their experience through self-reported measures of connectedness, structured observations of cohesion, and interviews. Self-report outcomes suggest that virtual social support groups fostered feelings of social connection and observation analyses indicate consistent evidence of group cohesion across time. Interview outcomes reveal largely positive experiences of being part of an aphasia group in the virtual world but caution that such groups should represent an addition to and not a replacement for real-world connections. Findings suggest that social support groups delivered in a co-designed virtual world, offer users with aphasia a space in which to foster consistent levels of social connectio
A comparison of maximal acceleration between the “tic-tac” parkour action, drop jump and lay-up shot in youth basketball players: A preliminary study towards the donor sport concept
Get PDFThe aim of this cross-sectional study was to compare acceleration outputs of the parkour-style “tic tac” action with those of the drop jump and the lay-up shot in youth basketball players. A total of 25 participants (17 males, 13.80 ± 1.30 years of age; and 8 females, 15.00 ± 0.80 years of age) completed three trials of each action while wearing a single inertial motion capture unit with a sampling frequency of 200 Hz, positioned at the lumbar spine. All data was captured in a single session, using the same test order for all participants. Maximum resultant acceleration was calculated from the raw data for each action. Using sex and maturation status as covariates, data were analysed using a Bayesian one-way repeated measures ANCOVA. Results revealed the jump + sex model to be the best fitting (BF10 = 9.22 x 105). Post hoc comparisons revealed that the tic tac produced greater maximal acceleration than the drop jump and the lay-up. These findings provide a biomechanical basis for the potential use of the parkour tic tac as an activity that could be used within the athletic development of youth basketball players
From Ethical Goodness to Sustainable Excellence: The Impact of Learning Strategy and Practical Wisdom on Corporate Social Responsibility
Get PDFThis study provides empirical evidence that the practical wisdom of an organization (organisational phronesis) promotes socially responsible practices in businesses. It highlights the impact of organisational practical wisdom on improving performance and contributing to the larger societal good. We examined the correlation between organisational practical wisdom, learning strategy, and corporate social responsibility (CSR). We analysed the self-reported perceptions of Austrian for-profit organisation employees. It was performed using the STATA software's multiple regression model. The findings show a noteworthy and favourable association between the constructs. It reveals that an organisation's learning strategy positively affects the presence of phronesis within an organisation, implying that a deliberate focus on learning can contribute to developing and cultivating phronesis. Furthermore, the results indicate that organisational phronesis is positively linked to CSR, reflecting a greater commitment to ethical and sustainable practices that benefit both society and the environment. This paper thus provides novel insights into the role of organisational practical wisdom in creating future-oriented and responsible behaviour that contributes to long-term organisational success
Was Anna Freud a “friend of Dorothy”? A queer phenomenological historiography of Anna Freud and Dorothy Burlingham's personal and professional relationship
Get PDFAbstractThe nature of Anna Freud and Dorothy Burlingham's 5‐decade‐long personal and professional relationship has always been subject to speculation. This paper considers the historiography of this important and enigmatic relationship from 1920s Vienna to today. Drawing on Sara Ahmed's Queer Phenomenology, which theorises sexual orientation and whiteness in spatial terms, I illustrate how the relationship was seen as deviating from the ‘straight lines’ of mid‐20th century heteronormative society. I extend this queer phenomenological approach to think about cultural orientations to the relationship through an examination of its depiction in biographies published in the 1980s, the collections at the Freud Museums in London and Vienna, and a fictionalised account of Anna Freud's life published in 2014. Extending Ahmed's queer phenomenological vocabulary, I identify examples of ‘straightening up’, ‘straightening devices’ and ‘straightening up by queering’. The possibility of finding ‘queer angles’ in Anna Freud's early clinical writings, in contrast to the normative tendencies of her later writing on ego psychology, is explored as a counterbalance to discussions about non‐normative sexuality and gender in psychotherapy which typically position these as something new. The relevance for clinical practice today is considered through the lens of an ethical imperative to find space for queer angles in the history of psychoanalysis.</jats:p
Constant Inapproximability for PPA
Get PDFIn the \varepsilon -Consensus-Halving problem, we are given n probability measures v1, . . . , vn on the interval R = [0, 1], and the goal is to partition R into two parts R+ and R using at most n cuts, so that | vi(R+) vi(R )| \leq \varepsilon for all i. This fundamental fair division problem was the first natural problem shown to be complete for the class PPA, and all subsequent PPA-completeness results for other natural problems have been obtained by reducing from it. We show that \varepsilon -Consensus- Halving is PPA-complete even when the parameter \varepsilon is a constant. In fact, we prove that this holds for any constant \varepsilon < 1/5. As a result, we obtain constant inapproximability results for all known natural PPA-complete problems, including necklace splitting, the discrete ham sandwich problem, two variants of the pizza sharing problem, and for finding fair independent sets in cycles and paths
Do environmental, social, and governance standards improve the bargaining power of bidders? An empirical investigation
Get PDFDrawing from the bargaining power hypothesis, we investigate the impact of environmental, social, and governance (ESG) standards on takeover premiums in the international takeover market. Using an international sample of 8336 mergers and acquisitions from 26 bidder countries between 2003 and 2021, we find that bidders with higher pre-deal ESG standards – ESG champions – pay lower premiums to win the bid auction, suggesting that better engagement of stakeholders provides higher bargaining power to ESG champions. Contrary to the stylized fact that bidders destroy shareholder value in mergers and acquisitions, the results show that all bidders are not the same, and those with higher ESG standards enjoy takeover benefits. We also show that board independence and minority shareholder protection are potential channels through which ESG champions pay fair premiums to targets. Finally, the results document that ESG champions select targets from dissimilar industries and engage in cross-border deals to strengthen their reputation among stakeholders. Our results pass several robustness tests and hold after addressing the endogeneity issue. Overall, our findings dispense new evidence on how ESG standards increase the bargaining power of focal firms to negotiate on better terms with targets
MSC-Transformer-Based 3D-Attention with Knowledge Distillation for Multi-Action Classification of Separate Lower Limbs
Get PDFDeep learning has been extensively applied to motor imagery (MI) classification using electroencephalogram (EEG). However, most existing deep learning models do not extract features from EEG using dimension-specific attention mechanisms based on the characteristics of each dimension (e.g., spatial dimension), while effectively integrate local and global features. Furthermore, implicit information generated by the models has been ignored, leading to underutilization of essential information of EEG. Although MI classification has been relatively thoroughly investigated, the exploration of classification including real movement (RM) and motor observation (MO) is very limited, especially for separate lower limbs. To address the above problems and limitations, we proposed a multi-scale separable convolutional Transformer-based filter-spatial-temporal attention model (MSC-T3AM) to classify multiple lower limb actions. In MSC-T3AM, spatial attention, filter and temporal attention modules are embedded to allocate appropriate attention to each dimension. Multi-scale separable convolutions (MSC) are separately applied after the projections of query, key, and value in self-attention module to improve computational efficiency and classification performance. Furthermore, knowledge distillation (KD) was utilized to help model learn suitable probability distribution. The comparison results demonstrated that MSC-T3AM with online KD achieved best performance in classification accuracy, exhibiting an elevation of 2 %-19 % compared to a few counterpart models. The visualization of features extracted by MSC-T3AM with online KD reiterated the superiority of the proposed model. The ablation results showed that filter and temporal attention modules contributed most for performance improvement (improved by 2.8 %), followed by spatial attention module (1.2 %) and MSC module (1 %). Our study also suggested that online KD was better than offline KD and the case without KD. The code of MSC-T3AM is available at: https://github.com/BICN001/MSC-T3AM
Product renewal in platform-based ecosystems: The impact of product portfolio complexity in global derivative exchanges
No full textPurpose - Theoretical advancements in ecosystem innovation have largely focused on platform-based ecosystems within high-technology industries. This study extends prior works by examining derivatives exchange platforms —a long-established, increasingly digitalized segment of global financial services—where transaction dynamics differ from traditional platforms, thereby uncovering important contingencies in the business-to-business (B2B) marketing and ecosystem management literature.
Design/methodology/approach - This study analyzes a sample of 119 derivative exchanges from 1996 to 2013 across 37 countries. Using a zero-inflated Poisson (ZIP) model, we examine how product portfolio complexity (PPC) influences new product introduction and removal, and how these effects vary with PPC magnitude.
Findings - Our findings indicate that there is a nonlinear S-shaped relationship between PPC and product renewal in the context of platform-based ecosystems. The study reveals that both new product introduction and product removal are essential strategies for managing a complex product portfolio within derivatives exchange platforms, highlighting the cumulative effects of the knowledge base and ecosystem dynamics.
Originality/value - This research contributes to B2B marketing and innovation research by exploring the unique dynamics of derivatives exchange platforms within platform-based ecosystems. By identifying the S-shaped relationship between PPC and product renewal, we provide valuable insights for practitioners and scholars seeking to navigate the complexities of ecosystem management and innovation strategies in digitalized B2B markets
Self-supervised learning enhances accuracy and data efficiency in lower-limb joint moment estimation from gait kinematics.
Get PDFObjective Deep learning (DL) has introduced new possibilities for estimating human joint moments - a surrogate measure of joint loads. However, traditional methods typically require extensive synchronised joint angle and moment data for model training, which is challenging to collect in real-world applications. This study aims to improve the accuracy and data efficiency of knee joint moment estimation via leveraging self-supervised learning techniques to automatically extract human motion representations from large-scale unlabeled joint angle datasets.
Method We proposed a joint moment estimation method based on self-supervised learning (SSL), using a Transformer auto-encoder architecture. The model was pre-trained on large-scale unlabeled joint angle data with masked reconstruction to effectively capture spatiotemporal features of human motion. Subsequently, we fine-tuned the model using a small amount of labeled joint moment data, enabling accurate mapping from joint angles to joint moments. We evaluated this method on a dataset of 55 normally developing children and compared the performance of the pre-trained SSL model fine-tuned with different amounts of labeled data to a baseline model.
Results The Fine-tuned model significantly outperformed the baseline model, especially in scenarios with scarce labeled data. MSEs were reduced from 24.00% to 45.16% (with an average reduction of 36.29%), and MAE from 18.18% to 37.80% (with an average reduction of 26.48%). The proposed SSL model exceeded the performance of the baseline model trained with 100% data, using only 20% of the data in the labeled dataset during fine-tuning. When both models were fine-tuned using only 5% of the labeled data, the proposed SSL achieved four-fold better performance than the baseline model
Conclusion ing significantly improves the accuracy and data efficiency of joint moment estimation, providing a more efficient solution for biomechanical evaluation. The proposed model can reduce the burden of collecting data and expand clinical applications
Is There a Representation Gap? Citizen Preferences for Political Representation in Bosnia and Herzegovina
Get PDFThrough a public opinion survey, we find that citizens in Bosnia and Herzegovina have strong preferences for candidates that are their co-ethnics and practice “clean politics” devoid of corruption