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Due to the relatively short duration of earthquakes, most studies simplify their impact on structures by considering the total effect of each event rather than modelling the instantaneous accumulation of damage during the event itself. This approach may underestimate performance degradation, as incremental damage occurring during the shock can lead to an immediate reduction in capacity. Furthermor
The development of high-energy density solid-state batteries is critical for the achievement of carbon neutrality goals and the advancement of clean energy. Still, the fundamental understanding of lithium transport mechanisms and degradation processes remains limited. Current characterisation methods face significant challenges in studying these complex systems, particularly due to the difficulty
This paper examines digital wellbeing as an evolving, mul-tifaceted concept shaped by technological design, data practices, and policy measures. Focusing on children and young people, it explores how digital wellbeing is governed through individual, platform, and government regulation. The technological dimension is foregrounded through well-being management tools such as screen-time dashboards, a
Begonia limprichtii (Begoniaceae) is reported from India for the first time. It belongs to the section Platycentrumand is similar to B. thomsonii, but is overall less hairy with ovary nearly glabrous (versus villous) and upper ovary wing beaked and rounded (versus triangular).
A decentralized strategy for object transportation is presented, assuming that the object is grasped by a team of N cooperative manipulators. The proposed strategy consists of two steps. First, each robot estimates the wrenches applied to the object by all the others robots, even without all-to-all communication. Second, an admittance control scheme is used to limit internal wrenches, preventing e
Mental health assessments increasingly rely on remote formats that produce rich but complex multimodal data in the form of text, audio, and video, processed through multiple machine learning models. While these environments offer new opportunities for insight, they also pose significant challenges for effective clinical sensemaking. This study introduces a dashboard designed to address these chall
Nomenclature for the disease widely known as Sjögren syndrome has proven unsatisfactory. Patients have perceived ‘syndrome’ as indicative of a vague collection of symptoms, prompting the Sjögren’s Foundation to abandon the term. Furthermore, the traditional distinction between ‘primary’ and ‘secondary’ forms fails to account for the complex interplay between overlapping autoimmune diseases. Follow
This special issue introduction explores dialogic organizing centred on affirming public engagement for hope and solidarity. We propose ways of retheorizing and revitalizing dialogic perspectives and practices. In so doing we take our cue a Bakhtinian understanding of dialogue; however, we suggest that it is necessary to move beyond this foundational understanding. Instead, it needs to be read in
BACKGROUND: The aim of the study was to determine the role of Vascular Endothelial Growth Factor (VEGF) on the microvasculature and on angiogenetic gene expression after partial hepatectomy (PH) in the rat model.METHODS: To determine the effect of exogenous and endogenous VEGF after PH, rats were subjected to 70% PH and treated either with VEGF, anti-VEGF or NaCl. Postoperatively (3-168 h), vessel
The HIBEAM-NNBAR program is a proposed two-stage experiment at the European Spallation Source focusing on searches for baryon number violation processes as well as ultralight dark matter. This paper presents recent advancements in computing and simulation, including machine learning for event selection, fast parametric simulations for detector studies, and detailed modeling of the time projection
We report 23 lichenicolous fungi new to Sweden, among these, one is new to Europe, 21 are new to Fennoscandia, and two are newly reported for Norway. This article focuses only on mitosporic fungi. The newly reported species are Acremonium pertusariae, Cladophialophora dimorphospora, Cladosporium licheniphilum, Corynespora laevistipitata, Didymocyrtis cladoniicola, D. grumantiana, Ellisembia lichen
Membrane technology plays a crucial role in food by-product valorization, especially in protein recovery. Initially applied to whey protein extraction from cheese production, it enabled the concentration and purification of whey, leading to the production of protein concentrates and isolates. This success was extended to other animal proteins like blood plasma, fish proteins, and albumen.With a gr
IntroductionGlobal water scarcity necessitates innovative approaches to water treatment. Membrane technology has emerged as a key solution, demonstrating its effectiveness across a range of applications, from seawater desalination using reverse osmosis to wastewater treatment with membrane bioreactors. This presentation will introduce three novel water treatment concepts based on membrane technolo
Sustainable access to effective antibiotics is a main rationale for addressing antimicrobial resistance, for calls to enhance antibiotic supply security and for development support to promote health system capacity in low- and middle-income settings. Standard models for valuing pharmaceuticals fail to capture the full value of sustainable access to effective antibiotics. In effect, assessments of
The rate of change in adaptive laboratory evolution (ALE), in which a population of microorganisms is continuously cultivated under a specific selective pressure, is controlled by the cellular mutagenesis rate and the randomness of where in the genetic material mutations are introduced. The constant selection pressure makes it a crucial, yet slow, method in developing microorganisms with novel phe
Post-extrusion flow dynamics of soft matter are governed by their elasto-viscoplastic (EVP) rheological properties, which influence filament stability, die swelling, and shape fidelity in extrusion-based 3D printing. Achieving precision and control in printed structures requires optimizing yield stress, viscoelasticity, and extrusion pressure to minimize excessive die swelling and material spreadi
The Dirichlet–Neumann alternating method is a common domain decomposition method for nonoverlapping domain decompositions without cross-points, and the method has been studied extensively for linear elliptic equations. However, for nonlinear elliptic equations, there are only convergence results for some specific cases in one spatial dimension. The aim of this manuscript is therefore to prove that
Digitalization of the downstream process for monoclonal antibodies can be used as a tool towards more efficient and sustainable processing. One part of digitalization are digital twins, which can help provide insights into a process and be used for process optimization, reducing production costs and accelerating drug discovery. However, creating a useful digital twin is often difficult and time-co
