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MAFA and MAFB regulate exocytosis-related genes in human β-cells

AIMS: Reduced expression of exocytotic genes is associated with functional defects in insulin exocytosis contributing to impaired insulin secretion and type 2 diabetes (T2D) development. MAFA and MAFB transcription factors regulate β-cell physiology, and their gene expression is reduced in T2D β cells. We investigate if loss of MAFA and MAFB in human β cells contributes to T2D progression by regul

Domain-adversarial neural network for improved generalization performance of gleason grade classification

When training a deep learning model, the dataset used is of great importance to make sure that the model learns relevant features of the data and that it will be able to generalize to new data. However, it is typically difficult to produce a dataset without some bias toward any specific feature. Deep learning models used in histopathology have a tendency to overfit to the stain appearance of the t

Is there a potential international market for Danish welfare pork? - A consumer survey from Denmark, Sweden, and Germany

This cross-country study investigates the potential to improve pig welfare by exploiting consumer demand, domestically and in export markets, for welfare pork produced in indoor production systems. The analysis is based on questionnaire data collected in 2019 focusing on demand for Danish welfare pork both in Denmark and in two nearby export markets, Sweden and Germany. To reduce hypothetical bias

Risks in the visual environment such as glare, illuminance, and luminance ratio - risk assessments made with visual ergonomics risk assessment method - VERAM - a descriptive paper

The visual environment has an impact on subjective strain and headaches. A visual ergonomics risk assessment method, VERAM, was used on 217 workplaces, and consists of both of a subjective questionnaire and an objective risk assessment, the objective risks are presented in this paper. The risk for daylight was assessed to be yellow (risk) or red (high risk) at 53% of the workplaces and the risk fo

Forced LMX1A expression induces dorsal neural fates and disrupts patterning of human embryonic stem cells into ventral midbrain dopaminergic neurons

The differentiation of human pluripotent stem cells into ventral mesencephalic dopaminergic (DA) fate is relevant for the treatment of Parkinson's disease. Shortcuts to obtaining DA cells through direct reprogramming often include forced expression of the transcription factor LMX1A. Although reprogramming with LMX1A can generate tyrosine hydroxylase (TH)-positive cells, their regional identity rem

Investigating Ras homolog gene family member C (RhoC) and Ki67 expression following external beam radiation therapy show increased RhoC expression in relapsing prostate cancer xenografts

Ras homolog gene family member C (RhoC) is a GTPase involved in cell migration, implicated in epithelial-mesenchymal transition and treatment resistance and metastasis of cancer. For example, RhoC has been shown to be involved in resistance to radiation in cervical carcinoma. Here, the effect of X-ray irradiation on RhoC expression in prostate cancer (PCa) xenografts was investigated in both xenog

Prediction of energy generation target of hydropower plants using artificial neural networks

Hydropower is a renewable, reliable, and highly predictable source of energy. It has been used for centuries. The tariff of energy generation is divided into two parts: fixed charges and variable charges. Fixed charges are based on the availability of machinery (i.e., plant availability factor) and variable charges are based on the actual energy generation. The energy generation targets are decide

Previous SARS-CoV-2 infections and their impact on the protection from reinfection during the Omicron BA.5 wave – a nested case-control study among vaccinated adults in Sweden

Objectives: We evaluated the protection afforded by SARS-CoV-2 infection-induced immunity against reinfection among working-age vaccinated individuals during a calendar period from June to December 2022 when Omicron BA.5 was the dominating subvariant in Scania County, Sweden. Methods: The study cohort (n = 71,592) mainly consisted of health care workers. We analyzed 4144 infected cases during the

Sub-Nanomolar Detection of Oligonucleotides Using Molecular Beacons Immobilized on Lightguiding Nanowires

The detection of oligonucleotides is a central step in many biomedical investigations. The most commonly used methods for detecting oligonucleotides often require concentration and amplification before detection. Therefore, developing detection methods with a direct read-out would be beneficial. Although commonly used for the detection of amplified oligonucleotides, fluorescent molecular beacons h

Structuring Concepts of Legal Personhood : On Legal Personhood as a Cluster Property

Legal persons have traditionally been understood as entities with legal rights and/or duties. This traditional concept of legal personhood has been challenged during the last decades: In legal practice through the global development in law where previous legal non-persons such as different non-human natural entities, non-human animals, fetuses and artificial intelligences have been ascribed, or be

Prior electrocardiograms not useful for machine learning predictions of major adverse cardiac events in emergency department chest pain patients

At the emergency department (ED), it is important to quickly and accurately determine which patients are likely to have a major adverse cardiac event (MACE). Machine learning (ML) models can be used to aid physicians in detecting MACE, and improving the performance of such models is an active area of research. In this study, we sought to determine if ML models can be improved by including a prior

MRI BrainAGE demonstrates increased brain aging in systemic lupus erythematosus patients

Introduction: Systemic lupus erythematosus (SLE) is an autoimmune connective tissue disease affecting multiple organs in the human body, including the central nervous system. Recently, an artificial intelligence method called BrainAGE (Brain Age Gap Estimation), defined as predicted age minus chronological age, has been developed to measure the deviation of brain aging from a healthy population us

The Socioeconomics of Wind Power Expansion: Evidence from Sweden

We document the socioeconomics of wind power expansion in Sweden using two metrics. First, we compute the difference in socioeconomic status (SES) between residents exposed to wind power (0-2 km from the closest turbine) and those not exposed. For each site, the metric is computed ten years prior until five years after construction. When the comparison group is other residents within the same muni

Lessons from early life : understanding development to expand stem cells and treat cancers

Haematopoietic stem cell (HSC) self-renewal is a process that is essential for the development and homeostasis of the blood system. Self-renewal expansion divisions, which create two daughter HSCs from a single parent HSC, can be harnessed to create large numbers of HSCs for a wide range of cell and gene therapies, but the same process is also a driver of the abnormal expansion of HSCs in diseases

3D Strain Imaging of a Heterostructured GaInP/InP Nanowire Using Bragg Coherent Diffraction X-ray Imaging : Implications for Optoelectronic Devices

Imaging the strain in nanoscale heterostructures is challenging since it requires a combination of high strain sensitivity and spatial resolution. Here, we show that three-dimensional (3D) Bragg coherent diffraction imaging (BCDI) can be used to image the strain in a single InP segment within an axially heterostructured GaInP-InP nanowire. We use a 350 nm-diameter X-ray beam, which is smaller than