I miss being me: phenomenological effects of deep brain stimulation

The phenomenological effects of deep brain stimulation (DBS) on the self of the patient remains poorly understood and under described in the literature, despite growing evidence that a significant number of patients experience postoperative neuropsychiatric changes. To address this lack of phenomenological evidence, we conducted in-depth, semistructured interviews with 17 patients with Parkinson’s disease who had undergone DBS. Exploring the subjective character specific to patients’ experience of being implanted gives empirical and conceptual understanding of the potential phenomenon of DBSinduced self-estrangement. Our study concluded that (1) the more patients preoperatively felt alienated by their illness, the more they experienced postoperative self-estrangement, and (2) the notion of self-estrangement seems to exist in association with certain common qualitative characters, namely, loss of control, which reflects a deteriorative estrangement, and distorted perception of capacities, which reveals a restorative estrangement. These findings indicate that subjective self-reports help us to understand some aspects of the potential phenomenon of DBS-induced self-estrangement. seems to exist in association with certain common qualitative characters; namely loss of control which reflects a deteriorative estrangement, and distorted perception of capacities which reveals a restorative estrangement. These findings indicate that subjective self-reports help us to understand some aspects of the potential phenomenon of DBS-induced self-estrangement

Simulation-based Inference for Exoplanet Atmospheric Retrieval: Insights from winning the Ariel Data Challenge 2023 using Normalizing Flows

Advancements in space telescopes have opened new avenues for gathering vast amounts of data on exoplanet atmosphere spectra. However, accurately extracting chemical and physical properties from these spectra poses significant challenges due to the non-linear nature of the underlying physics. This paper presents novel machine learning models developed by the AstroAI team for the Ariel Data Challenge 2023, where one of the models secured the top position among 293 competitors. Leveraging Normalizing Flows, our models predict the posterior probability distribution of atmospheric parameters under different atmospheric assumptions. Moreover, we introduce an alternative model that exhibits higher performance potential than the winning model, despite scoring lower in the challenge. These findings highlight the need to reevaluate the evaluation metric and prompt further exploration of more efficient and accurate approaches for exoplanet atmosphere spectra analysis. Finally, we present recommendations to enhance the challenge and models, providing valuable insights for future applications on real observational data. These advancements pave the way for more effective and timely analysis of exoplanet atmospheric properties, advancing our understanding of these distant worlds.Comment: Conference proceeding for the ECML PKDD 202

Conflict transformation in indigenous' peoples territories: doing environmental justice with a 'decolonial turn'

One of the distinctive features of environmental justice theory in Latin America is its influence by decolonial thought, which explains social and environmental injustices as arising from the project of modernity and the ongoing expansion of a European cultural imaginary. The decolonization of knowledge and social relations is highlighted as one of the key challenges for overcoming the history of violent oppression and marginalization in development and conservation practice in the region. In this paper we discuss how conflict transformation theory and practice has a role to play in this process. In doing so, we draw on the Socio-environmental Conflict Transformation (SCT) framework elaborated by Grupo Confluencias, which puts a focus on building community capacity to impact different spheres of power: people and networks, structures and cultural power. We discuss this framework and its practical use in the light of ongoing experiences with indigenous peoples in Latin America. We propose that by strengthening the power of agency of indigenous peoples to impact each of these spheres it is possible to build constructive intra and intercultural relations that can help increase social and environmental justice in their territories and thus contribute to decolonizing structures, relations and ways of being