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The impact of salvage radiotherapy (SRT) on overall survival (OS) in patients experiencing biochemical recurrence (BCR) of prostate cancer remains an area of active investigation. The international multicenter PROMISE registry provides a valuable dataset to explore the association between SRT and long-term clinical outcomes in this patient population (NCT06320223). Methods: Comprehensive restaging
We present three-dimensional measurements of particle-size-dependent acoustophoretic motion of micropar- ticles with diameters from 4.8 μm down to 0.5 μm suspended in either homogeneous or inhomogeneous fluids inside a glass-silicon microchannel and exposed to a standing ultrasound wave. To study the crossover from radiation force dominated to streaming dominated motion as the particle size is dec
Diffusion magnetic resonance imaging (dMRI) is a powerful non-invasive technique for probing tissuemicrostructure. While highly sensitive, conventional dMRI methods suffer from low specificity, due in part toexperimental designs that conflate multiple contrast mechanisms. This thesis aims to address these limitations bydeveloping advanced time-dependent dMRI techniques to disentangle competing sou
Memories link elements across event boundaries, integrating overlapping content experienced at different times and places. Such memory representations are thought to rely on memory integration mechanisms. The present study used multivariate pattern analysis (MVPA) of electroencephalographic (EEG) data to elucidate the temporal dynamics of integrative encoding memory processes. Memory integration w
This work presents a framework for designing self-locking 3D compliant structures using elasto-plastic topology optimization. Design updates are generated using the gradient-based method of moving asymptotes, while the material behavior is modeled under small strain elasto-plasticity. To accurately capture the Bauschinger effect that occur during reversed loading, kinematic hardening is a crucial
Surface-subsurface flow models for hydrological applications solve a coupled multiphysics problem. This usually consists of some form of the Richards and shallow water equations. A typical setup couples these two nonlinear partial differential equations in a partitioned approach via boundary conditions. Full interaction between the subsolvers is ensured by an iterative coupling procedure. This can
The atmosphere, ocean, and sea ice components in Earth system models are coupled via boundary conditions at the sea surface. Standard coupling algorithms correspond to the first step of an iteration, so-called Schwarz waveform relaxation. Not iterating is computationally cheap but introduces a numerical coupling error, which we aim to quantify for the case of a coupled single column model: the EC-
Background: Composite outcome measures aim to provide a more holistic view when determining the effectiveness and safety of surgical interventions. Recently, 'Ideal Outcome' (IO) harmonized the European and American composite outcome of pancreatic surgery. The rate of IO after pancreatoduodenectomy was 54% but is unknown after left pancreatectomy(LP). Methods: This transatlantic analysis included
We consider waveform iterations for dynamical coupled problems, or more specifically, PDEs that interact through a lower-dimensional interface. We want to allow for the reuse of existing codes for the subproblems, called a partitioned approach. To improve computational efficiency, different and adaptive time steps in the subsolvers are advisable. Using so-called waveform iterations in combination
Probing the internal structure of crystalline materials is vital for understanding and optimizing their functional properties, especially in semiconductors and multiferroics, where nanoscale distortions such as strain and lattice tilt can dramatically affect performance. Among various characterization tools, X-ray diffraction imaging offers a unique combination of deep penetration, nondestructive
Synthetic aperture radar (SAR) remote sensing (RS) technology is an ideal tool to map flooded areas on account of its all-time, all-weather imaging capability. Existing SAR data-based change detection approaches lack well-discriminant change indices for reliable floodwater mapping. To resolve this issue, an unsupervised change detection approach, made up of two main steps, is proposed for detectin
The planetary system K2-24 is composed of two transiting low-density Neptunians locked in an almost perfect 2:1 resonance and showing large transit time variations (TTVs), and it is an excellent laboratory to search for signatures of planetary migration. Previous studies performed with K2, Spitzer, and RV data tentatively claimed a significant non-zero eccentricity for one or both planets, possibl
Tendons are known to adapt their structural and mechanical properties in response to mechanical loading, but the precise mechanisms underlying this adaptation remain poorly understood. A previous study on rat Achilles tendons compared the effect of unloading (Botox injections and orthosis) with free cage activity (full loading) and revealed that unloading impaired the mechanical response and resul
Managed honey bees (Apis mellifera L.) are increasingly used worldwide to meet the growing demand for agricultural pollination services and honey production. The spillover of managed honey bees into natural habitats can strongly transform wild plant-pollinator communities, resulting in mixed consequences for plant reproduction. To effectively predict and cope with the impacts of managed honey bees
Steric clashes pose a challenge when exploring dense protein systems using conventional explicit-chain methods. A minimal example is a single lattice protein confined on a minimal grid, with no free sites. Finding its minimum energy is a hard optimization problem, with similarities to scheduling problems. It can be recast as a quadratic unconstrained binary optimization (QUBO) problem amenable to
Viruses are the most abundant and genetically diverse entities on Earth, yet the functions and evolution of most viral proteins remain poorly understood. Their rapid evolution often obscures evolutionary relationships, limiting the ability to assign functions using sequence-based methods. Although the conservation of protein fold can reveal deep homologies, viral proteins remain underrepresented i
Joint modeling of diffusion and relaxation has seen growing interest due to its potential to provide complementary information about tissue microstructure. For brain white matter (WM), we designed an optimal diffusion-relaxometry MRI protocol that samples multiple b-values, B-tensor shapes, and echo times (TE). This variable-TE protocol (27 min) has as subsets a fixed-TE protocol (15 min) and a tw
Surface-subsurface flow models for hydrological applications solve a coupled multiphysics problem. This usually consists of some form of the Richards and shallow water equations. A typical setup couples these two nonlinear partial differential equations in a partitioned approach via boundary conditions. Full interaction between the subsolvers is ensured by an iterative coupling procedure. This can
Background: Artificial intelligence (AI) systems can potentially aid the diagnostic pathway of prostate cancer by alleviating the increasing workload, preventing overdiagnosis, and reducing the dependence on experienced radiologists. We aimed to investigate the performance of AI systems at detecting clinically significant prostate cancer on MRI in comparison with radiologists using the Prostate Im
Immunotherapy has largely failed in ovarian carcinoma (OC), likely due to that the vast tumor heterogeneity and variation in immune response have hampered clinical trial outcomes. Tumor-immune microenvironment (TIME) profiling may aid in stratification of OC tumors for guiding treatment selection. Here, we used Digital Spatial Profiling combined with image analysis to characterize regions of spati
