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    17837 research outputs found

    Expressive Power of Monotonic Graph Neural Networks via Datalog

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    Leadership Lessons From the Swat Pathans:Anthropology and Global Leadership

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    Although there are relatively few works on global leadership in social and cultural anthropology, nonetheless, scholars of global leadership can learn a lot from key works in the discipline. In this chapter, I consider the ways in which anthropologists in the 1950s and 1960s explored the dynamics between leaders and followers and the influence of culture on preferred types of leadership, and how more recent anthropologists have been applying critical and postcolonial approaches to globalizing cultures and movements. Although anthropologists take a global focus, including in business, they do not often consider leadership as an exclusive phenomenon, but only in a holistic perspective. On the other hand, global leadership studies tend to take larger scale and theory-focused approaches, which tend not to produce the sort of insights that a longitudinal qualitative study can develop. I consider ways in which ethnographic methodologies and critical approaches to leadership can add to our understanding of global leadership and, conversely, ways in which a focus on global leadership can add to anthropologists' understanding of contemporary social and political movements. I conclude by considering how the two disciplines might engage in fruitful collaboration

    The Capacity of a Finite Field Matrix Channel

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    The Additive-Multiplicative Matrix Channel (AMMC) was introduced by Silva, Kschischang and Kötter in 2010 to model data transmission using random linear network coding. The input and output of the channel are n×mn\times m matrices over a finite field Fq\mathbb{F}_q. When the matrix XX is input, the channel outputs Y=A(X+W)Y=A(X+W) where AA is a uniformly chosen n×nn\times n invertible matrix over Fq\mathbb{F}_q and where WW is a uniformly chosen n×mn\times m matrix over Fq\mathbb{F}_q of rank tt.Silva et al. considered the case when 2nm2n\leq m. They determined the asymptotic capacity of the AMMC when tt, nn and mm are fixed and qq\rightarrow\infty. They also determined the leading term of the capacity when qq is fixed, and tt, nn and mm grow linearly. We generalise these results, showing that the condition 2nm2n\geq m can be removed. (Our formula for the capacity falls into two cases, one of which generalises the 2nm2n\geq m case.) We also improve the error term in the case when qq is fixed

    Leveraging Multimodal Shapley Values to Address Multimodal Collapse and Improve Fine-Grained E-Commerce Product Classification

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    Multimodal models can experience multimodal collapse, leading to sub-optimal performance on tasks like fine-grained e-commerce product classification. To address this, we introduce an approach that leverages multimodal Shapley values (MM-SHAP) to quantify the individual contributions of each modality to the model's predictions. By employing weighted stacked ensembles of unimodal and multimodal models, with weights derived from these Shapley values (MM-SHAP), we enhance the overall performance and mitigate the effects of multimodal collapse. Using this approach we improve previous results (F1-score) from 0.67 to 0.79

    The Everyday Security of Living With Conflict

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    When ‘cyber’ is used as a prefix, attention is typically drawn to the technological and spectacular aspects of war and conflict – and, by extension, security. We offer a different approach to engaging with and understanding security in such contexts, by foregrounding the everyday – mundane – experiences of security within communities living with and fleeing from war. We do so through three vignettes from our field research in Colombia, Lebanon and Sweden, respectively, and by highlighting the significance of ethnography for security research with communities living in regions afflicted by war. We conclude by setting out a call to action for security researchers and practitioners to consider such lived experiences in the design of security technology that aims to cater to the needs of communities in ‘global conflict and disaster regions’.---Cuando se usa el prefijo ‘ciber-’, suele centrarse la atención en los aspectos tecnológicos y espectaculares de la guerra y el conflicto - y, por extensión, en la seguridad. Sin embargo, en este artículo ofrecemos un enfoque diferente para abordar y comprender la seguridad en estos contextos, al tomar en cuenta y resaltar las experiencias cotidianas – mundanas – de seguridad dentro de las comunidades que viven en guerra o huyen de ella. Lo hacemos a través de tres casos de nuestras investigaciones de campo en Colombia, Líbano y Suecia, respectivamente, resaltando la importancia de la etnografía para la investigación sobre seguridad en comunidades que viven en regiones afligidas por la guerra. Concluimos con un llamado a la acción para que los investigadores y profesionales en el área de la seguridad consideren estas experiencias vividas en el diseño de tecnologías de seguridad que buscan atender las necesidades de las comunidades en 'regiones afectadas por conflictos y desastres a nivel mundial

    Periostin Exon 17 Skipping Enhances the Efficacy of Local Adeno-Associated Viral-Microdystrophin Administration in a Fibrotic Model of Duchenne Muscular Dystrophy

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    Duchenne muscular dystrophy (DMD) is a severe, progressive genetic disorder primarily affecting boys, characterized by muscle degeneration due to mutations in the DMD gene encoding dystrophin, a crucial protein for muscle fiber integrity. The disease leads to significant muscle weakness and eventually to loss of ambulation. Adeno-associated viral (AAV)-microdystrophin (MD) gene therapy shows promise in preclinical and clinical settings. However, muscle fibrosis, a consequence of chronic inflammation and extracellular matrix remodeling, exacerbates disease progression and may hinder therapeutic efficacy. Periostin, a matricellular protein involved in fibrosis, is upregulated in DMD rodent models and correlates with collagen deposition. We previously developed an antisense oligonucleotide strategy to induce exon 17 skipping and so reduce periostin expression and collagen accumulation in the fibrotic D2.mdx mouse model of DMD. Here, we investigated the combined effects of periostin modulation and AAV-MD1 treatment. We found that systemic periostin splicing modulation significantly improved muscle function, assessed by forelimb grip strength and treadmill performance. Importantly, periostin exon skipping increased the MD protein expression. These findings suggest that targeting periostin in conjunction with MD therapy could represent a valid therapeutic strategy for DMD.</p

    Applying Social Networks to Snowball Sampling of a ‘Hard-to-Reach’ Population and to Illustrate Qualitative Findings

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    Ever since Moreno's sociograms were introduced in the 1930s, social network analysis has been a popular way of analysing existing and custom-built data. Social network analysis has been gaining popularity since online social networks were invented with their ever-increasing volumes of social media data available to extract and analyse. This paper explores using social networks as part of the methodology and data analysis stages of an existing research project. The research concerns victims of online crime asking who individuals and organisations can approach for cybersecurity help and advice after becoming online crime victims. Participants worked in UK law enforcement, government, businesses and support organisations. Two networks were built and analysed. The recruitment network monitored snowball sampling of a ‘hard-to-reach’ population-UK adults whose work concerned victims of online crime or who were online crime victims. The organisations' network described the landscape for supporting victims. The recruitment network tracked the recruitment of participants and highlighted successful and influential contacts in the network. The organisations' network explained and illustrated the qualitative findings. Social networks give insights into data missed by other methods of analysing data collected. Sociograms were added to text-based sections in the doctoral thesis to help explain the inherent messiness of the interdisciplinary field of cybercrime

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