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RATIONALE: Acute otitis media (AOM) is one of the most common bacterial infections in children worldwide, and the most common reason for prescribing antibiotics. Although serious complications (e.g. mastoiditis or meningitis) are rare, the infection causes acute pain and can lead to hearing impairment. Since AOM often resolves spontaneously, current treatment guidelines recommend an approach of wa
Few-shot segmentation (FSS) tackles data scarcity using multiple priors, but its simplicity limits handling base and novel classes with limited data access. Generalized few-shot semantic segmentation (GFSS) enhances model performance for base classes with abundant data, while novel classes have limited data access, improving generalization with scarce data. Building on the design of query-based se
The strong shell effects observed experimentally and theoretically at high spins and moderate deformations are explained in terms of the interference between two effects. Thus, the effect of the quadrupole deformation to destroy the spherical shell degeneracy can be largely compensated by the orbital separation due to rotational motion. In the resulting coupling scheme, the subshell degeneracy of
Many audio applications, including echo-cancellation and active noise control, rely on the availability of accurately estimated room impulse responses (RIRs). For these applications, it is common that the source signal is short and primarily consists of speech or music, which may cause the estimation of the RIR to be poorly conditioned. Although priors on the amplitudes of the RIR could in princip
This paper introduces a novel diffusion-based method for learning representations from categorical data. Conditional diffusion models have demonstrated their potential to extract meaningful representations from input samples. However, they often struggle to yield versatile, multi-task information, limiting their adaptability to unforeseen tasks. To address this, we propose a cycle conditioning app
Time-frequency decomposition is a well-established method to unmix signals generated by multiple sources with unique characteristics. However, there are cases of high signal complexity where existing time-frequency decomposition tools are insufficient for localizing and representing short-bursting signals. One example is the currently highly popular extracellular low-impedance recordings from mult
Den nationalekonomiska forskningen har genomgått en snabb utveckling under de senaste 10–20 åren. Nya teorier och nya forskningsfält har tillkommit. Traditionellt har man föreställt sig att ekonomisk teori bara är av värde för förståelsen av hur marknaden fungerar. Nu hävdar ekonomer att deras teori med fördel kan användas på alla sidor av det svenska samhället, även dem som vi betraktar som tillh
The clinical commissioning of beams for neutron capture therapy involves the measurement and analysis of a large amount of data in various geometries and using various detectors. We have attempted methods and considerations common to the radiotherapy field, while particular care and attention is given to the specifics of the field of neutron capture therapy. This chapter provides an introduction a
Automatic voice pathology detection is promising for non-invasive screening and early intervention using sound signals. Nevertheless, existing methods are susceptible to covariate shifts due to background noises, human voice variations, and data selection biases leading to severe performance degradation in real-world scenarios. Hence, we propose a non-invasive framework that contrastively learns p
Hemophilia A and B are rare, X-linked bleeding disorders characterized by deficiencies in coagulation factor VIII (FVIII) and factor IX (FIX), respectively. Numerous advances have helped to reduce disease burden. However, hemophilia B is not as well studied as hemophilia A, likely reflecting its lower prevalence. Clinical management of hemophilia B has often relied on inference and extrapolation f
People with obesity commonly face a pervasive, resilient form of social stigma. They are often subject to discrimination in the workplace as well as in educational and healthcare settings. Research indicates that weight stigma can cause physical and psychological harm, and that affected individuals are less likely to receive adequate care. For these reasons, weight stigma damages health, undermine
PURPOSE: Obesity is associated with a wide range of chronic illnesses and disabilities familiar to rehabilitation researchers and practitioners. Obesity discourse in the area of rehabilitation science and practice is limited.METHOD: A meeting of rehabilitation researchers, practitioners, industry and decision makers was held for the purpose of identifying research and practice priorities in the ar
We study the realizability and strong satisfiability problems for SAFETY LTL, a syntactic fragment of Linear Temporal Logic ([Formula presented]) capturing safe formulas. While it is well-known that realizability for this fragment lies in [Formula presented], the best-known lower bound is [Formula presented]-hardness. Surprisingly, closing this gap has proven an elusive task. Previous works have c
We extend and strengthen a theorem of Bates that says that row-finite graphs that are strong shift equivalent have Morita equivalent graph C*-algebras. This allows us to ask whether our stronger notion of Morita equivalence does in fact characterise strong shift equivalence. We believe this will be relevant for future research on infinite graphs and their C*-algebras. We also study in-splits and o
This paper addresses the problem of synchronizing orthogonal matrices over directed graphs. For synchronized transformations (or matrices), composite transformations over loops equal the identity. We formulate the synchronization problem as a least-squares optimization problem with nonlinear constraints. The synchronization problem appears as one of the key components in applications ranging from
