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Listening to Trees : Provocations for a Sonic Kinesthetic Approach
Listening encounters with the shifting rhythms and frequencies of climate change
This paper investigates the role of sound and listening in establishing newsensory connections with the environment. Climate change is affecting the wayour environment sounds and we need to expand our sense of listening to tunein to those new registers. Through the development of a digital prototype forspeculative sound co-creation, this study explores ways to engage with ourchanging environment b
Ways of knowing trees through sound, movement and drawing
In this workshop, we explore the question: How can we use our senses toknow trees and foster ecological empathy through interdisciplinary methodsacross landscape design, sound art, and dance/movement? We inviteparticipants to develop sensory responses to real or imaginary trees asimpetus for sonic kinesthetic expression. The workshop will encourageinteraction with trees to reveal the aliveness and
Medical Record Review Methodology for Assessing Child and Adolescent Depression Healthcare Quality : A Systematic Review and Thematic Synthesis
Background Early-onset depression contributes significantly to long-term disability and suicide, making high-quality healthcare for young people with depression a critical concern. Medical record review (MRR) is widely used to assess healthcare quality. However, its application to depression care for children and adolescents appears underexplored, with no consensus on conceptualising or measuring
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The Quercetum Chorus Workshop introduced students in the Cal Poly Pomona Interdisciplinary Paris Study Abroad Program (CPP IPSAP) to methods of deepening human-tree relations through sound, drawing and movement. Students applied a multi-sensory approach to knowing trees by attuning to their frequencies, textures, shapes, and movements. They were invited to reimagine trees as more-than-human bodies
Living Together, Loving Apart : Health, Sexuality and Relationships in Middle-Aged and Older Men in Europe
Background: Over time, family structures have grown more complex, diversifying adult relationships. While research has compared marital, cohabiting and living apart together relationships based on quality and health, less is known about their sexual dynamics. Theoretical frameworks suggest that co-resident relationships may integrate sexuality differently from living apart together unions, where p
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Cet article expose la perspective d’un field recording basé sur la notion de fictions soniques pour examiner une réalité de l’environnement de manière protéiforme et nous conduit ici à envisager, à travers l’expérience du son, à quel point celle-ci nous permet d’agir sur les espaces et leurs représentations. La fiction sonique désigne une capacité à façonner des mondes fantastiques et virtuels par
The AGORA High-resolution Galaxy Simulations Comparison Project. X. Formation and Evolution of Galaxies at the High-redshift Frontier
Recent observations from the James Webb Space Telescope have revealed unexpectedly luminous galaxies, exhibiting stellar masses and luminosities significantly higher than predicted by theoretical models at Cosmic Dawn. In this study, we present a suite of cosmological zoomed-in simulations targeting high-redshift (z ≥ 10) galaxies with dark matter halo masses in the range 1010-1011M⊙ at z = 10, us
Triangulation of 3D Target Points from Radar Range and Bearing Data
We propose a method for estimating the 3D position of a target point, given multiple measurements of it, using mm-wave radar data. Given azimuth headings and range estimates from posed radar positions, we find the 3D position, using an approximate, but geometrically and statistically meaningful cost. The 3D position is found in an optimal way, using this approximate cost. By deriving the Lagrangia
Frequency-dependent diffusion tensor distribution imaging in the evaluation of ischemic stroke
Non-invasive MRI is widely used to assess and monitor ischemic stroke, yet conventional approaches often lack sensitivity to subtle microstructural changes and struggle to evaluate tissue viability across lesion, penumbra, and distal regions. In this study, frequency dependent diffusion tensor distribution imaging (ωDTD) was combined with clustering of diffusion tensor distributions D(ω) and multi
Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features
Parkinsons sjukdom förknippas ofta med rörelsesymtom, som skakningar, stelhet och långsammare rörelser. Sjukdomen kan dock också påverka talet. Rösten kan bli svagare, mindre varierad eller mindre stabil, och uttalet kan bli svårare att kontrollera. Eftersom tal är enkelt att spela in och inte kräver några invasiva undersökningar är det intressant att undersöka om tal kan användas som en källa tilSpeech has become an increasingly important source of non-invasive information for Parkinson's disease detection, but much existing work still relies on sustained vowels. This thesis investigates whether carefully represented continuous speech can provide added predictive value over a strong sustained-vowel benchmark. Using the NeuroVoz corpus, sustained-vowel recordings were first used to est
Modelling Radionuclide Concentrations in Fucus on the Swedish West Coast
Past and present measurements of radionuclide activity concentrations in the seaweed species Fucus spp. on the Swedish west coast have shown significant temporal variation. The current understanding is that marine discharges originating from remote nuclear facilities contribute to the observed activity levels. Initial statistical exploration has been done, but no detailed modelling has been perfor
Environmental experiences and the psychological impact of lighting during urban forest walks. : Differences in daylight, electric light, and head torch scenarios.
A deep joint-learning proteomics model for diagnosis of six conditions associated with dementia
Co-pathology is a common feature of neurodegenerative diseases that complicates diagnosis, treatment and clinical management. However, sensitive, specific and scalable biomarkers for in vivo pathological diagnosis are not available for most neurodegenerative neuropathologies. Here we present Proteomics-based Artificial Intelligence for Dementia Diagnosis (ProtAIDe-Dx), a deep joint-learning model
megatron : the environments of Population III stars at Cosmic Dawn and their connection to present-day galaxies
We present results of Population III (Pop III) formation in the megatron suite of simulations, which self-consistently follows radiation and non-equilibrium chemistry, and resolves gas at near-pc resolution in a Milky Way-mass progenitor at Cosmic Dawn. While the very first Pop III stars form in haloes with masses well below the atomic cooling limit, the majority of Pop III stars form in more mass
Age- and sex-dependent differences in white matter pathology in the chronic phase of diffuse traumatic brain injury in the mouse
Traumatic brain injury (TBI) is commonly associated with white matter injury, leading to persistent symptoms and long-term disability. While advanced age is linked to worse outcome post-TBI, the influence of sex remains highly controversial. The present study aimed to identify age- and sex-dependent differences in white matter pathology during the chronic phase of TBI using the central (midline) f
Djävlar och Demoner
A Model of Social Duties
We develop and test a model of social duties. The model distinguishes unconditional duties to take or avoid certain actions from conditional duties that depend on the actions’ payoffs. It also distinguishes strict duties (must do) from liberal duties (ought to do). The disutility associated with duty violation depends on the duty’s strictness and is proportional to the externality the violation ca
Discovering Structural Patterns in Statistical Models via Regularization : Asymptotics, Exact Recovery and Estimation
In the linear regression model, when the dimension p is fixed and n→∞, the asymptotic distribution of the estimation error for Lasso-type M-estimators is well established. In contrast, the convergence of the discrete structures (patterns) induced by these regularizers, such as sparsity or clustering, has remained largely unaddressed, even for the standard Lasso penalty. Because these lower-dimensi
