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Background: Obstetrical anal sphincter injuries are complications of vaginal birth that have the potential to cause substantial maternal morbidity. Predicting these injuries might help to improve maternal care as well as antenatal counseling and patient education. Previous attempts to create prediction models have in many cases involved variables only known postpartum, which limits their use in an
Introduction: Extrauterine pregnancy (EP), represents a significant challenge in reproductive medicine, manifesting in approximately 2% of all pregnancies, primarily implanting within the fallopian tubes (95%). Surgery remains a cornerstone in the therapeutic options for ectopic pregnancies. The most common surgical approach at the moment is laparoscopy. However a relatively new surgical technique
High Performance Research Desktops are used by HPC centers and research computing organizations to lower the barrier of entry to HPC systems. These Linux desktops are deployed alongside HPC systems, leveraging the investments in HPC compute and storage infrastructure. By serving as a gateway to HPC systems they provide users with an environment to perform setup and infrastructure tasks related to
Globally, road traffic accidents (RTAs) remain a major cause of death, particularly among individuals aged 15–30 years. While Sweden has been at the forefront of traffic safety through the Vision Zero initiative, in-hospital management remains crucial in determining RTA outcomes. Drawing on North American evidence suggesting improved survival at trauma centres, the Swedish healthcare system has in
By 2050, electric vehicles (EVs) are expected to be 40% of all cars on the road1. In some countries like Norway, more than 90% of the new cars sold are electric2. This rise in EVs presents challenges to the current electricity infrastructure to meet this rapid increase in electricity demand. In this study, we simulate urban residential electricity demand using an agent-based model to investigate t
This paper explores how evolutionary epistemology can offer insights into the discussion of naturalization of epistemology and normativity. Living organisms have an inherent disposition to continue living – i.e., staying in homeostasis – which they accomplish through an anticipatory regulatory process called allostasis. Organisms only survive under certain conditions, and so their actions and pred
Additive manufacturing (AM) is revolutionizing industrial production by enabling the fabrication of complex, customized components with reduced material waste. However, the scheduling of AM machines presents significant challenges in terms of optimizing both time-related performance and energy consumption. This paper introduces a novel multi-objective mixed-integer linear programming (MILP) model
This paper combines density-based topology optimization (TO) with a “contact aware” shape optimization (SO) which combines the design freedom of TO with the precise boundary representation of SO. Using gradient based optimization, the objective is to design structures in frictionless contact, including the shape of the contacting surfaces. SO is performed on each contacting structure which defines
Oily wastewater presents a serious environmental challenge, demanding sustainable and regenerative membrane technologies. Here, we report a green and scalable method for fabricating skin-replaceable cellulose membranes (SRC-M) from jute agro-waste, using a NaOH/urea activation route and argon-pressurized deposition onto ceramic supports. The resulting Cellulose II-based asymmetric membranes exhibi
Discovering topological quantum materials that combine nontrivial topology with large bandgaps and experimentally accessible signatures remains a central pursuit in condensed matter physics. We demonstrate, through first-principles calculations and tight-binding modeling, that pyrite-type osmium disulfide (OsS2) is a fragile topological insulator (FTI) characterized by an exceptionally large direc
While recent cognitive science research shows a renewed interest in understanding intelligence, there is still little consensus on what constitutes intelligent behaviour and how it should be assessed. Here we propose a refined approach to biological intelligence as accurate prediction, according to which intelligent behaviour should be understood as adaptive control driven by the minimisation of u
In this work we present a simultaneous shape and topology optimization framework that generates large-scale 3D designs on unstructured grids. We consider a “parameter-free” shape optimization approach, wherein the nodal coordinates in the finite element mesh serve as design variables. To regularize the design changes we use a PDE-based filter, similar to the filtering techniques used in topology o
This study investigated the birth prevalence of cleft lip and/or palate (CL/P) in Sweden between 2000 and 2020 using data from the Swedish National Medical Birth Register, which includes over 97% of children born in the country, and its subregister the National Register of Congenital Anomalies. The dataset included 2,230,771 anonymized children, with the variables year of b
PURPOSE: Neglecting imaging gradients in b-value calculations has been a documented issue for decades and remains unaccounted for in the current postprocessing pipelines. This omission may introduce inaccuracies that propagate into diffusion parameter estimates, such as in ADC and DTI analysis. Because intravoxel incoherent motion (IVIM) makes use of low b-values, these inaccuracies may be of grea
The macroscopic response governed by a statistical volume element, generated from 3D X-ray computer tomography images of paperboard, is explored. The statistical volume element, which consists of fibres and void, is derived from X-ray computer tomography images. Two filters for computing intensity fields and intensity gradients have been implemented and compared. Using an intensity threshold, the
Introduction: The rate of vaginal hysterectomies is declining globally. We investigated surgical techniques, outcomes, and costs in a large national cohort of benign hysterectomies with prerequisites for vaginal surgery. Material and Methods: A retrospective register-based cohort study with benign hysterectomies in the Swedish GynOp registry 2014–2023 (n = 17 804). Inclusion criteria were non-prol
In this work we tailor the response of trusses loaded beyond their yield limit. The truss structures are modeled using finite strain theory and rate-independent elasto-plasticity. We design trusses with a tailored mechanical response that is between “elastic” and “elastic-ideal-plastic” subject to the volume constraint. The design updates are generated by the gradient-based Method of Moving Asympt
