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Background and Aims: Pancreatic and periampullary cancers are sometimes found to have a too advanced disease during surgery to allow resection. The aim was to describe characteristics, treatment, outcome, and time trends for patients that were planned for pancreatic surgery but found unresectable during surgery. Material and Methods: Data from the Swedish National Pancreatic and Periampullary Canc

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Airborne Laser Scanning (ALS) is used to acquire three-dimensional (3D) city model data over large areas. However, because of the long ALS update cycle, building information models (BIM) could be utilized to maintain city models. In this study, we designed, implemented, and evaluated a methodology to formalize the integration of BIM data into city models. CityGML models were created from BIM data

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Cancer-associated gene fusions resulting in chimeric proteins or aberrant expression of one or both partner genes are pathogenetically and clinically important in several hematologic malignancies and solid tumors. Since the advent of different types of massively parallel sequencing (MPS), the number of identified gene fusions has increased dramatically, prompting the question whether they all have

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Although the use of induction therapy has reduced the risk of acute rejection after heart transplantation, its use may be associated with other adverse outcomes. We aimed to examine the effect of no induction (NoInd), induction with basiliximab (BAS), or induction with antithymocyte globulin (ATG) on outcome after heart transplantation. We analyzed data from the International Society for Heart and

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The aim of this study was to improve the accuracy and precision of perfusion fraction and blood velocity dispersion estimates in intravoxel incoherent motion (IVIM) imaging, using joint analysis of flow-compensated and non-flow-compensated motion-encoded MRI data. A double diffusion encoding sequence capable of switching between flow-compensated and non-flow-compensated encoding modes was implemen

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Dynamic susceptibility contrast MRI (DSC-MRI) tends to return elevated estimates of cerebral blood flow (CBF) and cerebral blood volume (CBV). In this study, subject-specific calibration factors (CFs), based on steady-state CBV measurements, were applied to rescale the absolute level of DSC-MRI CBF.

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Objective: The aim of this study is to describe how the use of diagnostic imagingfor prostate cancer (PCa) has evolved over time and to determine whether thereare any differences in access to diagnostic imaging, type of cancers detected, andmortality based on the education level of patients.Methods: 11,063 men were recruited between 1991 and 1996 and thenprospectively followed until 2020. All new

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Two-dimensional terahertz spectroscopy (2DTS) is a low-frequency analog of two-dimensional optical spectroscopy that is rapidly maturing as a probe of a wide variety of condensed matter systems. However, a persistent problem with 2DTS is the long experimental acquisition times, which prevent its broader adoption. A potential solution, requiring no increase in experimental complexity, is signal rec

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The enhancement of the electromagnetic field elicited by localized surface plasmon resonance (LSPR) is conducive to the generation of charge carriers, which have an important effect in driving many kinds of chemical reactions. Nonetheless, the short lifespan of charge carriers generated by plasmon (typically femtoseconds to nanoseconds) limits their effectiveness in promoting chemical reactions. H

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Accurate prediction of spatial yield variations within individual fields is crucial for precision agriculture, as it enables optimized resource allocation and targeted crop management. In this study, we propose a novel framework that leverages remote sensing data and Graph Attention Networks (GATv2) to predict fine-scale yield variations for winter wheat at a high resolution (10 m × 10 m). The obj

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Over recent years many urban areas have experienced severe floods caused by extreme precipitation events. To avoid the devastating socioeconomic and environmental consequences of such floods, countries have issued laws or recommendations on flood risk assessment in urban planning. However, these laws or recommendations seldom include detailed requirements on input data quality or explicit instruct

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Map mashups, as a common way of presenting geospatial information on the Web, are generally created by spatially overlaying thematic information on top of various base maps. This simple overlay approach often raises geometric deficiencies due to geometric uncertainties in the data. This issue is particularly apparent in a multi-scale context because the thematic data seldom have synchronised level

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Heart transplantation (HT) is a life saving procedure, but a limited donor supply forces the surgeons to prioritize the recipients. The understanding of factors that predict mortality could help the doctors with this task. The objective of this study is to find locally optimal feature sets to predict survival of HT patients for different time periods. To this end, we applied logistic regression to

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Background: Precision prevention involves tailoring interventions to the unique characteristics of a group or individual to maximize their effectiveness. In this study, we examined the role of participant characteristics in the effectiveness of lifestyle interventions to optimize gestational weight gain (GWG). Methods: We searched Medline, Embase, and PubMed, from inception up to March 2025, to id

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X-rays are commonly used in imaging experiments due to their penetration power, which enables non-destructive resolution of internal structures in samples that are opaque to visible light. Time-resolved X-ray tomography is the state-of-the-art method for obtaining volumetric 4D (3D + time) information by rotating the sample and acquiring projections from different angular viewpoints over time. Thi

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Explicit solutions to optimal control problems are rarely obtainable. Of particular interest are the explicit solutions derived for minimax problems, providing a frame work to address adversarial conditions and uncertainty. This work considers a multi-disturbance minimax Linear Regulator (LR) framework for positive linear time-invariant systems in continuous time, which, analogous to the Linear-Qu

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Time- and Angle-Resolved Photoelectron Spectroscopy (tr-ARPES) is employed to monitor photoexcited electrons in the 2D hybrid perovskite (BA) (Formula presented.) (MA) (Formula presented.) (Formula presented.) (Formula presented.). Photoelectron intensity maps are in good agreement with ab-initio calculations of the band structure. The effective mass is (Formula presented.) and (Formula presented.

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Multi-beam ptychography (MBP) offers a scalable solution to improve the throughput of state-of-the-art ptychography by increasing the number of coherent beams that illuminate the sample simultaneously. However, increasing the number of beams in ptychography makes ptychographical reconstructions more challenging and less robust. It has been demonstrated that MBP reconstructions can be made more rob