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In the realm of biological image analysis, deep learning (DL) has become a core toolkit, for example for segmentation and classification. However, conventional DL methods are challenged by large biodiversity datasets characterized by unbalanced classes and hard-to-distinguish phenotypic differences between them. Here we present BioEncoder, a user-friendly toolkit for metric learning, which overcom
Neutrino oscillation experiments provide a unique window in exploring several new physics scenarios beyond the standard three flavour. One such scenario is quantum decoherence in neutrino oscillation which tends to destroy the interference pattern of neutrinos reaching the far detector from the source. In this work, we study the decoherence in neutrino oscillation in the context of the ESSnuSB exp
Beta-delayed proton and gamma emission in the decay of 21Mg has been measured at ISOLDE, CERN with the ISOLDE Decay Station (IDS) set-up. The existing decay scheme is updated, in particular what concerns proton transitions to excited states in 20Ne. Signatures of interference in several parts of the spectrum are used to settle spin and parity assignments to highly excited states in 21Na. The previ
Current syntheses of CsPbBr3 halide perovskite nanocrystals (NCs) rely on overstoichiometric amounts of Pb2+ precursors, resulting in unreacted lead ions at the end of the process. In our synthesis scheme of CsPbBr3 NCs, we replaced excess Pb2+ with different exogenous metal cations (M) and investigated their effect on the synthesis products. These cations can be divided into two groups: group 1 d
Abstract: The antioxidant molecule protocatechuic acid (PCA) can also serve as a precursor for polymer building blocks. PCA can be produced in Escherichia coli overexpressing 3-dehydroshikimate dehydratase (DSD), an enzyme that catalyses the transformation of 3-dehydroshikimate to PCA. Nevertheless, optimizing the expression rate of recombinant enzymes is a key factor in metabolic engineering when
The human brain performs tasks with an outstanding energy efficiency, i.e., with approximately 20 Watts. The state-of-the-art Artificial/Deep Neural Networks (ANN/DNN), on the other hand, have recently been shown to consume massive amounts of energy. The training of these ANNs/DNNs is done almost exclusively based on the back-propagation algorithm, which is known to be biologically implausible. Th
PURPOSE: To assess the effect of an intensive initial IOP lowering treatment strategy on the progression of visual field damage. DESIGN: A randomized, controlled, open-labelled two-center clinical trial. METHODS: A total of 242 patients with newly detected early or moderate untreated open-angle glaucoma were enrolled at two university hospitals in Sweden. Participants were randomly allocated (1:1)
Background/aims: Congestion is prognostically relevant in cardiac transthyretin amyloidosis (ATTR-CA), but whether congestion has an incremental prognostic value beyond the well-established, congestion-sensitive NT-proBNP is unknown. Therefore, we aimed to comparatively evaluate the prognostic utility of several congestion surrogates over NT-proBNP. Methods: We estimated hazard ratios by Cox propo
While our understanding of the nanoscale architecture of anterograde synaptic transmission is rapidly expanding, the qualitative and quantitative molecular principles underlying distinct mechanisms of retrograde synaptic communication remain elusive. We show that a particular form of tonic cannabinoid signaling is essential for setting target cell–dependent synaptic variability. It does not requir
Suppose (f,X, μ) is a measure preserving dynamical system and φ: X → R a measurable function. Consider the maximum process Mn := max{X1, ,Xn}, where Xi = φ ○ fi-1 is a time series of observations on the system. Suppose that (un) is a non-decreasing sequence of real numbers, such that μ(X1 > un) → 0. For certain dynamical systems, we obtain a zero- one measure dichotomy for μ(Mn ≤ un i.o.) dependin
While there are thousands of books written about feedback control, it is surprising that this is the very first book about feedforward control. Feedforward control is a very powerful technique to compensate for measurable load disturbances in regulation control problems, and the use of feedforward control to assist the traditional feedback controllers is rapidly increasing in industry. The main go
In the era of Industry 4.0, fostering innovation through strong collaboration among universities, industry, and government is crucial. However, the Tanzanian economy has faced challenges due to, among others, weak links between these entities. To address this, Sida initiated the Innovation Systems and Cluster Development Program (ISCP-Tz) in partnership with the University of Dar es Salaam. This w
Novel hydrophobic membranes for direct contact membrane distillation (DCMD) were developed using poly(1,1-difluoroethylene) (PVDF) loaded with the ionic liquid methyltrioctylammonium bis(2-ethylhexyl) phosphate (MTOA-DEHP). These polymer inclusion membranes (PIMs) were fabricated via non-solvent induced phase separation (NIPS). Detailed characterization revealed that MTOA-DEHP significantly enhanc
The last twenty years have seen 3D documentation and modelling emerge as an important vector for methodological innovation in cutting-edge research in archeology. Adopting techniques such as photogrammetric modelling and laser scanning, archeologists are experimenting with new ways of producing and communicating knowledge; and they do so by innovating and developing new ways to record, report, and
