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Preoperative Nodal Metastatic Risk Evaluation in Early Breast Cancer : A Multimodal Deep Learning Approach

Sentinel lymph node biopsy (SLNB) remains the standard method for axillary staging in breast cancer. However,for the majority of patients with early breast cancer, it offers no treatment benefit and carries a risk of long-termside effects. In the era of surgical de-escalation, reliable preoperative assessment of axillary lymph node metastasis isessential to avoid overtreatment and support treatmen

Nonlinear Dynamical Unbalanced Optimal Transport : Relaxation and Duality

In this paper, we introduce a generalized dynamical unbalanced optimal transport framework by incorporating limited control input and mass dissipation, addressing limitations in conventional optimal transport for control applications. We derive a convex dual of the problem using dual optimal control techniques developed before and during the 1990s, transforming the non-convex optimization into a m

Biokinetics and dosimetry of [18F]flutemetamol in patients with Alzheimer’s disease

Beta-amyloid positron emission tomography/computed tomography (PET/CT) with [18F]flutemetamol is used to demonstrate presence of Alzheimer’s disease. With the possibility to use [18F]flutemetamol PET/CT for early detection of mild cognitive impairment and the development of prevention drugs, the demand for the procedure may increase significantly. The biokinetics and dosimetry of [18F]flutemetamol

Temperature-dependent ontogeny of bird thermoregulation and growth

This thesis investigates the ontogeny of thermoregulation and growth in birds, to improve the understanding of how prevailing environmental temperature affects physiology and morphology, and to examine whether body size influences thermoregulation. My focus has been on temperature effects emerging after hatching, which are poorly understood compared to effects of variation in embryonic developmentThis thesis investigates the ontogeny of thermoregulation and growth in birds, to improve the understanding of how prevailing environmental temperature affects physiology and morphology, and to examine whether body size influences thermoregulation. My focus has been on temperature effects emerging after hatching, which are poorly understood compared to effects of variation in embryonic development

Class Pay Gaps and the Role of Childhood Neighborhood Exposure 1939-2015

This paper examines whether high levels of intergenerational class mobility in twentieth-century Sweden eliminated class-origin income inequalities within adult occupationaldestinations, and whether childhood neighborhood exposure moderated these inequalities.Using longitudinal population-register, income, occupation, and geocoded residential data, thestudy follows individuals born between 1922 an

Hamming Distance Method-Based Stator Inter-Turn Short Circuit Phase Detection in PMSM

Permanent Magnet Synchronous Motor (PMSM) is a main component in electrical aircraft and electric vehicles. Due to its advantages, it is gaining the attention of manufacturers. This machine is highly efficient and reliable. It has a high torque to weight ratio. Due to its criticality in application, we need to detect the faults at the initiation stage. The faults associated with PMSM can be electr

Solidarity and Contentiousness in Migrant Worker Mobilisation : Syndicalist Unionisation in Sweden

This article analyses the mobilisation of migrant workers in SAC, the main syndicalist trade union in Sweden. It theorises mobilisation and solidarity from a labour process perspective and, based on ethnography, identifies accessibility, contentiousness and belonging as key mechanisms to explain the union’s form of mobilisation. By drawing on the class struggle unionism framework, it conceptualise

GPify : leveraging the combined strength of normalizing flow and softmax for an out-of-distribution aware confidence score

In order for any learning-based model to be considered reliable, it needs a well-behaved uncertainty or confidence estimate. Most modern neural networks do produce a confidence estimate in the form of their softmax output probability. However, the softmax probability is invalid for out-of-distribution data. Gaussian processes are known to produce a well-behaved confidence estimate that is aware of

Evolution of DNA repair defects during malignant progression of low-grade gliomas after temozolomide treatment

Temozolomide (TMZ) increases the overall survival of patients with glioblastoma (GBM), but its role in the clinical management of diffuse low-grade gliomas (LGG) is still being defined. DNA hypermethylation of the O (6) -methylguanine-DNA methyltransferase (MGMT) promoter is associated with an improved response to TMZ treatment, while inactivation of the DNA mismatch repair (MMR) pathway is associ

Porous media characterization for fuel cell optimization : a mesoscopic approach via Lattice Boltzmann Method

The efficiency and durability of Polymer Electrolyte Fuel Cells (PEFCs) depend on optimizing porous media components such as gas diffusion and catalyst layers. In parallel, the Lattice Boltzmann Method (LBM) has emerged as a powerful tool to model fluid flow, mass transport, and multiphase interactions in complex porous structures. This works provides a concise overview of recent advances in apply