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During embryonic development, hematopoiesis occurs through primitive and definitive waves, giving rise to distinct blood lineages. Hematopoietic stem cells (HSCs) emerge from hemogenic endothelial (HE) cells, through endothelial-to-hematopoietic transition (EHT). In the adult, HSC quiescence, maintenance, and differentiation are closely linked to changes in metabolism. However, metabolic processes
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
This study is aimed at detecting Parkinson's disease by analyzing voice measurements made using a mobile phone. The key objectives include creating a model that ensures accurate predictions while maintaining interpretability, consistent with the existing literature on Parkinson's disease. We introduce a novel group-wise scaling method to address typical age and biological sex biases in the dataset
Out-of-distribution (OOD) detection is a crucial step in ensuring robustness and trustworthiness for deep learning (DL) models. This is particularly important for classification tasks in medical applications. Previous work has shown that point-of-care ultrasound (POCUS) imaging combined with a DL classification network could improve access to early breast cancer diagnosis. In this work, we investi
Multi-electron donation remains a challenge for CO2 photocatalytic conversion to multi-electron products due to the efficient Auger recombination or annihilation at multiple excitation conditions for conventional molecules or semiconductor photocatalysts. In this paper, we demonstrated possible multi-electron donation within a quantum dot (QD)/metal complex hybrid photocatalyst system when multipl
BACKGROUND: Hyperglycemia is a risk factor for postoperative complications but its impact on outcome after pancreatoduodenectomy (PD) is scarcely studied. This prospective cohort study aimed to assess the effect of continuous insulin infusion on postoperative complications and blood glucose, as well as to evaluate the impact of hyperglycemia on complications, after PD. MATERIALS AND METHODS: One h
Developing semiconductor devices requires a fast and reliable source of strain information with high spatial resolution and strain sensitivity. This work investigates the strain in an axially heterostructured 180 nm-diameter GaInP nanowire with InP segments of varying lengths down to 9 nm, simultaneously probing both materials. Scanning X-ray diffraction (XRD) is compared with Bragg projection pty
Inconel 718 is one type of nickel-based alloy used for a large range of applications, including gas turbines and aeroengines components. Although mechanical and thermodynamic properties of this material have been deeply studied in the past years, a method able to investigate local properties of the thin white layer formed on the alloy surface after machining remains challenging. Here, a 90 nm X-ra
The two phases of El-Niño-Southern Oscillation (ENSO) influence both regional and global terrestrial vegetation productivity on inter-annual scales. However, the major drivers for the regional vegetation productivity and their controlling strengths during different phases of ENSO remain unclear. We herein disentangled the impacts of two phases of ENSO on regional carbon cycle using multiple data s
Land-cover changes have a clear impact on local climates via biophysical effects. European land cover has been affected by human activities for at least 6000 years, but possibly longer. It is thus highly probable that humans altered climate before the industrial revolution (AD1750–1850). In this study, climate and vegetation 6000 years (6 ka) ago is investigated using one global climate model, two
Gestational diabetes mellitus (GDM) is associated with increased risk of pregnancy complications and adverse perinatal outcomes. GDM often reoccurs and is associated with increased risk of subsequent diagnosis of type 2 diabetes (T2D). To improve our understanding of the aetiological factors and molecular processes driving the occurrence of GDM, including the extent to which these overlap with T2D
Climate change is estimated to increase the risk of the bark beetle (Ips typographus L.) mass outbreaks in Norway Spruce (Picea abies (L.) Karst) forests. Habitats that are thermally suitable for bark beetles may expand, and an increase in the frequency and intensity of droughts can promote drought stress on host trees. Drought affects tree vigor and in unison with environmental features it influe
BACKGROUND: This paper investigates the impact of a non-mandatory and age-specific social distancing recommendation on isolation behaviors and disease outcomes in Sweden during the first wave of the COVID-19 pandemic (March to July, 2020). The policy stated that people aged 70 years or older should avoid crowded places and contact with people outside the household.METHODS: We used a regression dis
Bark beetle infestations pose a significant threat to forest ecosystems, necessitating timely intervention for effective management and conservation. This study focuses on an 8,100 km2 area in southern Sweden, heavily impacted by a bark beetle outbreak triggered by a severe drought in 2018. Using spectral indices derived from Sentinel-2 data, it explores the potential of a window-based approach fo
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
Independent estimation and verification of fossil CO2 emissions on a regional and national scale are crucial for evaluating the fossil CO2 emissions and reductions reported by countries as part of their nationally determined contributions (NDCs). Top-down methods, such as the assimilation of in situ and satellite observations of different tracers (e.g., CO2, CO, Δ14CO2, XCO2), have been increasing
The sparse identification of nonlinear dynamics (SINDy) algorithm enables us to discover nonlinear dynamical systems purely from data but is noise-sensitive, especially in low-data scenarios. In this work, we introduce an advanced method that integrates group sparsity thresholds with Earth Mover's distance-based similarity measures in order to enhance the robustness of identifying nonlinear dynami
This study investigates the requirements for estimating CO2 emissions at the country scale using observational data from the Integrated Carbon Observation System (ICOS) atmosphere network, taking Italy as a case study. In particular, we explore the potential expansion of Italy’s current atmospheric ICOS network by identifying additional existing and future stations that would most effectively impr
