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Recently Added 

  1. The origin of compositional variations in kimberlites based on comparative petrology and geochemistry of samples from four cratons 

    Zech, Rebecca F.; Giuliani, Andrea; Weiss, Yaakov; et al. (2025)
    Mineralogy and Petrology
    The term 'kimberlite' describes rocks that span a large mineralogical variety including enrichments in mica, carbonates, perovskite, spinel and/or ilmenite. The origin of these compositional variations is addressed here by comparing the petrography, mineral chemistry and bulk-rock as well as groundmass geochemistry of seven representative kimberlite samples (from Wesselton in South Africa; Karowe in Botswana; Diavik and Gahcho Ku & eacute; ...
    Journal Article

  2. Combining eDNA Metabarcoding, Hydrology-Based Modeling and Camera Trap Datasets to Assess the Potential of River eDNA in Monitoring Terrestrial Mammals 

    Goralczyk, Monika; Lyet, Arnaud; Naidoo, Robin; et al. (2025)
    Environmental DNA
    Global efforts aimed at safeguarding and restoring biodiversity require methods to monitor progress towards conservation objectives. Such methods should provide a systematic and robust assessment of biodiversity for the lowest cost. River environmental DNA (eDNA) metabarcoding has been successfully applied to measure biodiversity in dendritic riverine habitats and is increasingly used to describe communities of terrestrial vertebrates in ...
    Journal Article

  3. Multi-Axial Subassemblage Testing System for Hybrid Simulation With Large-Scale Structural Components 

    Pizarro, Diego; Kovarbasic, Milan; Abbiati, Giuseppe; et al. (2025)
    Earthquake Engineering & Structural Dynamics
    This article presents the Multi-Axial Subassemblage Testing facility of ETH Zurich, Switzerland (ETHZ-MAST) for quasi-static testing and hybrid simulation (HS) of large-scale structural components and assemblies. The ETHZ-MAST features a 6-degrees-of-freedom (DOFs, 3 translations and 3 rotations) loading system based on a steel crosshead and 10 hydraulic actuators. The control system of the test system allows for mixed-mode control of ...
    Journal Article

  4. A matrix product state model for simultaneous classification and generation 

    Mossi, Alex; Zunkovic, Bojan; Flouris, Kyriakos (2025)
    QUANTUM MACHINE INTELLIGENCE
    Quantum machine learning (QML) is a rapidly expanding field that merges the principles of quantum computing with the techniques of machine learning. One of the powerful mathematical frameworks in this domain is tensor networks. These networks are used to approximate high-order tensors by contracting tensors with lower ranks. Initially developed for simulating quantum systems, tensor networks have become integral to quantum computing and, ...
    Journal Article

  5. Cooling down the climate discourse: communicating about collapse 

    Walton, Craig R. (2025)
    BioScience
    Other Publication

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