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External quality assessment (EQA) schemes for pathology are essential, yet large/international programmes do not assess morphology-based biomarkers or address local/regional needs. This study outlines bottom-up initiated, flexible Swedish Digital Pathology EQA rounds for breast pathology, and presents results from the 2021 and 2023 rounds. Six breast carcinoma cases were selected for each EQA roun

Background: Congenital heart disease (CHD) is the most common organ anomaly in humans affecting approximately 1:125 newborns worldwide. Early diagnosis enables postnatal stabilisation and may improve outcomes, especially in critical CHD, in which the circulation is dependent on patency of the arterial duct. Detection of CHD in newborns remains incomplete and current screening programs do not aim t

Recent studies have demonstrated that the transcription factor hepatocyte nuclear factor 4α (HNF4A) drives epithelial differentiation in the renal proximal tubules (PTs) and is critical for maintaining a mature PT phenotype. Furthermore, HNF4A down-regulation has been observed following kidney injury in mouse models. The aim of the present work was to investigate the role of HNF4A during acute and

One of the key purposes of bone tissue engineering is the development of new biomaterials that can stimulate the body's own regenerative mechanism for patient's anatomical and functional recovery. Bioactive glasses, due to their versatile properties, are excellent candidates to fabricate porous 3-D architectures for bone replacement. In this work, morphological and structural investigations are ca

The Gaussian phase distribution approximation enables analysis of restricted diffusion encoded by general gradient waveforms but fails to account for the diffraction-like features that may occur for simple pore geometries. We investigate the range of validity of the approximation by random walk simulations of restricted diffusion in a cylinder using isotropic diffusion encoding sequences as well a

A search for long-lived particles (LLPs) using Formula Presented of Formula Presented collision data with Formula Presented recorded by the ATLAS experiment at the LHC is presented. The search targets LLPs with masses between 5 and 55 GeV that decay hadronically in the ATLAS inner detector. Benchmark models with LLP pair production from exotic decays of the Higgs boson and models featuring long-li

Although many efforts have been made to eliminate barriers in public transport worldwide, research shows that public transport is still often perceived as challenging, inconvenient, and inaccessible for many people with disabilities. A growing body of research points to several issues, relating to the spatial and temporal distribution of public transport, affordability, safety, and social barriers

BACKGROUND: Selective glomerular hypofiltration syndrome (SGHS), formerly shrunken pore syndrome, an emerging marker of glomerular dysfunction, is associated with worsened prognosis in cardiovascular disease, but its role in kidney failure remains underexplored. Osteopontin (OPN) is associated with worsening kidney function and prognosis in chronic kidney disease.PURPOSE: To explore if increased l

Date palm oases in North Africa have historically supported agriculture through indigenous irrigation techniques such as foggaras and tabias, made possible by a relatively stable water supply. However, the sustainability of these systems is increasingly threatened by irrational water use, climate change and environmental resources degradation. In response to these challenges, we introduced and eva

The effects of possible climate changes on a cold attic performance are considered in this work. The hygro-thermal responses of the attic to different climate data conditions are simulated using a numerical model, which has been made using the IBPT. Cold attic, which is the most exposed part of the building to the environment, is classified as a risky construction in Sweden. Mould growth on intern

Oestrogen receptor alpha (ER; gene symbol ESR1) is the most important prognostic and treatment-predictive biomarker in breast cancer. Drugs targeting oestrogen and ER for endocrine therapy of breast cancer include aromatase inhibitors, the selective ER modulator tamoxifen and the selective ER degrader fulvestrant. Tumours can develop resistance to endocrine therapy through several mechanisms, whic

Higgsinos with masses near the electroweak scale can solve the hierarchy problem and provide a dark matter candidate, while detecting them at the LHC remains challenging if their mass splitting is O(1  GeV). This Letter presents a novel search for nearly mass-degenerate Higgsinos in events with an energetic jet, missing transverse momentum, and a low-momentum track with a significant transverse im

We study a simple extension of the Standard Model featuring a dark sector with an ultralight pseudo-Nambu-Goldstone boson as a dark matter candidate. We focus on the mass range O(10-20-10-10) eV, relevant for strong gravity applications, and explore its production and evolution in the early Universe. The model is formulated in such a way that dark matter does not couple directly to photons or othe

Utilizing green hydrogen produced by water electrolysis offers a viable strategy to mitigate the global energy crisis. In the present work, a high-performance, readily synthesized, and cost-effective anion exchange membrane (AEM) for alkaline water electrolyzers has been developed and studied. Glycidyl trimethyl ammonium chloride (GTA) was grafted onto poly(oxindole biphenylene) (POB) through

Dynamic restructuring of silver catalysts during the industrial conversion of methanol to formaldehyde leads to surface faceting and pinhole formation. Subsequent sintering under reaction conditions, followed by increased pressure drop and decreased catalyst activity requires catalyst bed replacement after several months of operation. This necessitates a comprehensive understanding of the bulk cat

Climate change and land degradation menace ecosystem sustainability. This study assessed the effectiveness of integrating nature-based solutions (NBSs); soil and water conservation techniques, agroforestry, and reforestation, to mitigate these impacts. Focusing on carbon storage and sediment retention at the watershed level (Sidi Barrak), the InVEST model quantified changes from 1990 to 2050 under

In this paper we present the differentiable log-Mel spectrogram (DMEL) for audio classification. DMEL uses a Gaussian window, with a window length that can be jointly optimized with the neural network. DMEL is used as the input layer in different neural networks and evaluated on standard audio datasets. We show that DMEL achieves a higher average test accuracy for sub-optimal initial choices of th