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European Association of Nuclear Medicine Focus 5 : Consensus on Molecular Imaging and Theranostics in Prostate Cancer

Background: In prostate cancer (PCa), questions remain on indications for prostate-specific membrane antigen (PSMA) positron emission tomography (PET) imaging and PSMA radioligand therapy, integration of advanced imaging in nomogram-based decision-making, dosimetry, and development of new theranostic applications. Objective: We aimed to critically review developments in molecular hybrid imaging an

Certified Dominance and Symmetry Breaking for Combinatorial Optimisation

Symmetry and dominance breaking can be crucial for solving hard combinatorial search and optimisation problems, but the correctness of these techniques sometimes relies on subtle arguments. For this reason, it is desirable to produce efficient, machine-verifiable certificates that solutions have been computed correctly. Building on the cutting planes proof system, we develop a certification method

Human prostate MRI at ultrahigh-performance gradient : A feasibility study

Purpose: To demonstrate the technical feasibility and the value of ultrahigh-performance gradient in imaging the prostate in a 3T MRI system. Methods: In this local institutional review board–approved study, prostate MRI was performed on 4 healthy men. Each subject was scanned in a prototype 3T MRI system with a 42-cm inner-diameter gradient coil that achieves a maximum gradient amplitude of 200 m

Pharmacological and mechanical properties of isolated pig coronary veins

Recent successful cardiac transplantation from pig to non-human primates and the first pig-to-human transplantation has put the focus on the properties of the pig heart. In contrast to the coronary arteries, the coronary veins are less well characterized and the aim was to examine the mechanical and pharmacological properties of coronary veins in comparison to the arteries. Vessel segments from th

On being drawn to different types of arguments : A mouse-tracking study

How people distinguish well-justified from poorly justified arguments is not well known. To study the involvement of intuitive and analytic cognitive processes, we contrasted participants’ personal beliefs with argument strength that was determined in relation to established criteria of sound argumentation. In line with previous findings indicating that people have a myside bias, participants (N =

Congenital heart disease : changes in recorded birth prevalence and cardiac interventions over the past half-century in Sweden

Aims Our objective was to assess changes in the birth prevalence of CHD over a half-century in a high-resource, nationwide setting, as well as changes in the prevalence of cardiac interventions in this population. Methods The Swedish National Patient and Cause of Death registers were linked to estimate the annual rates of CHD and cardiac and results interventions among live-born infants from 1970

A Case Report of a Challenging Disease : Immunoglobulin G4-Related Disease With Acute Kideny Injury

Immunoglobulin G4-related disease (IgG4-RD), which was initially identified as a type of autoimmune pancreatitis around the year 2000, is now widely acknowledged to be a systemic sickness. Based on both general and organ-specific criteria, alongside laboratory measurements of IgG4-subtype, the diagnosis is made. The diagnosis requires, however, a heightened index of suspicion, especially given the

Application of multiple spatial interpolation approaches to annual rainfall data in the Wadi Cheliff basin (north Algeria)

This study addresses a challenging problem of predicting mean annual precipitation across arid and semi-arid areas in northern Algeria, utilizing deterministic, geostatistical (GS), and machine learning (ML) models. Through the analysis of data spanning nearly five decades and encompassing 150 monitoring stations, the result of Random Forest showed the highest training performance, with R square v

Optimization of Induction Machine Design for Electric Vehicle Powertrain

This paper proposes a methodology to include induction machine (IM) in an optimization scheme for EV powertrains using Particle Swarm Optimization (PSO) as the optimization algorithm. The IM model is developed based on finite element analysis (FEA) and all the losses are estimated. The main objective is to generate a large database of base designs in a computationally efficient but accurate way. T