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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

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

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

Real-world evaluation of a population-based vaginal self-sampling program for cervical cancer prevention in Region Skåne, Sweden

Introduction: Cervical cancer represents a significant public health challenge worldwide. To improve screening accessibility and participation, we implemented vaginal human papilloma virus (HPV) self-sampling as part of an organized cervical cancer prevention strategy. This study aimed to evaluate the implementation and outcomes of the self-sampling program in a real-world setting. Material and Me

Sensitivity Lower Bounds for Approximation Algorithms

Sensitivity measures how much the output of an algorithm changes, in terms of Hamming distance, when part of the input is modified. While approximation algorithms with low sensitivity have been developed for many problems, no sensitivity lower bounds were previously known for approximation algorithms. In this work, we establish the first polynomial lower bound on the sensitivity of (randomized) ap

Fast Approximate ℓ-Center Clustering in High-Dimensional Spaces

We study the design of efficient approximation algorithms for the ℓ-center clustering and minimum-diameter ℓ-clustering problems in high-dimensional Euclidean and Hamming spaces. Our main tool is randomized dimension reduction. First, we present a general method of reducing the dependency of the running time of a hypothetical algorithm for the ℓ-center problem in a high-dimensional Euclidean space

Psychedelic Experiences in Religion : Academic to Academic

Jeffrey Breau of Harvard University and Natalie Bloch, Research Fellow at Lund University, discuss how psychedelic experiences are interpreted within religious traditions, with particular attention to Judaism and the emergence of new psychedelic churches in the United States.Their conversation explores how these experiences are shaped by cultural frameworks and by ongoing debates between perennial

Red Blood Cell Antigens and Antibodies

A blood group may be defined as an inherited character of the red cell surface detected by a specific alloantibody. This definition would not receive universal acceptance, since cell surface antigens on platelets and leucocytes might also be considered blood groups (see Chapter 4), as might acquired characteristics on red cells defined by autoantibodies or polyagglutinins. The definition is suitab

On the origins of charge transport in spin crossover complexes

Spin crossover (SCO) complexes are highly promising candidates for a myriad of potential applications in room-temperature electronics; however, as it stands, establishing a clear connection between their spin-state switching and transport properties has been far from trivial. In this perspective, an effort to unravel the underlying charge transport mechanism in these SCO complexes, via a general t

The hypothalamic vasopressin circuit drives lateralized endocrine signaling

Traumatic brain injury and stroke often result in contralateral sensorimotor deficits, including asymmetric posture. While these lateralized effects are classically attributed to neural tract disruption, recent evidence supports the existence of a complementary humoral pathway. Our previous work demonstrated that the neurohormone Arg-vasopressin (AVP) mediates right hindlimb responses to left-side

Adverse outcomes following psychedelic use in adolescents and adults : associations with age and personality traits

Background: Adolescents are increasingly using classical psychedelics, yet little is known about how psychedelics use is related to their mental health. Emerging evidence suggests that adolescents may be more vulnerable to adverse outcomes in relation to psychedelic use compared to adults. This descriptive and exploratory study examined differences between adolescents and adults in reported psyche