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This keynote explores the borderlands of costume through the “corpo colectivo” (collective body) experiments (Lepecki 2017) initiated by Brazilian artist Lygia Clark (1920–1988) in the 1970s and Dutch textile artist Maria Blaisse’s (born 1944) ‘study of form and material possibilities’ (Marshall 2024, 144). These practices challenge conventional notions of costume offering ways to rethink costume
This brief summarizes expert knowledge on what really works to protect pollinators. To guide and assist national governments and other relevant governmental bodies in the endeavor to stop and reverse pollinator decline, this brief is intended for everyone interested in pollinator and nature restoration, from local practitioners to national and international governmental agencies.
Several ice-dammed lakes formed between the Younger Dryas moraines and the Tana River valley during the retreat of the Fennoscandian Ice Sheet over northeast Norway. Drainage of these lakes left an indelible scar on the landscape; the Gaccetávži ravine, a feature over 10 km long and up to 120 m deep. Here, we use LiDAR-derived digital terrain models, alongside field investigations and novel remote
Influenced by climate warming and sea-level rise, seacoasts in many parts of the world are undergoing regime shifts, including increased coastal erosion in the southeastern Baltic Sea. The aim of this study is to reconstruct the depositional and erosional history of the Järve coastal scarp using sediment stratigraphy, new luminescence and radiocarbon dates, ground-penetrating radar, and LiDAR data
We obtained 420 high-resolution spectra of Proxima, over 159 nights, using the Near Infra Red Planet Searcher (NIRPS). We derived 149 nightly binned radial velocity measurements with a standard deviation of 1.69 m s−1 and a median uncertainty of 55 cm s−1, and performed a joint analysis combining radial velocities, spectroscopic activity indicators, and ground-based photometry, to model the planet
Context. Early theoretical works suggested that ultrahot Jupiters have inverted temperature-pressure (T-P) profiles in the presence of optical absorbers, such as TiO and VO. Recently, an inverted T-P profile of KELT-7b was detected, in agreement with the predictions. However, the diagnosis of T-P inversions has always been recognized to be a model-dependent process. Aims. We used the Characterisin
Background: Five risk factors account for approximately 50% of the global burden of cardiovascular disease. How the presence or absence of classic risk factors affects lifetime estimates of cardiovascular disease and death from any cause remains unclear. Methods: We harmonized individual-level data from 2,078,948 participants across 133 cohorts, 39 countries, and 6 continents. Lifetime risk of car
Additive manufacturing (AM) makes it feasible to realise complex lattice structuresthat provide structural flexibility through engineered structural design rather thanrelying solely on material softness. Across sectors such as furniture, healthcare,protective equipment, and robotics, such flexibility is a core functional requirement,that influences comfort, fit, impact response, lightweighting, an
Context. Near-infrared high-resolution échelle spectrographs unlock access to fundamental properties of exoplanets, from their atmospheric escape and composition to their orbital architecture, which can all be studied simultaneously from transit observations. Aims. We present the first results of the newly commissioned ESO near-infrared spectrograph, Near-InfraRed Planet Searcher (NIRPS), from thr
The Applied Nuclear Physics Group at Lund University has constructed a CANS (Compact Accelerator-driven Neutron Source). The CANS is based around a 3 MV, single-ended, Pelletron accelerator, which is used to impinge a 2.8 MeV deuterium beam into a beryllium target. The anticipated neutron production will be on the order of 1010 n/s in 4π sr, with future upgrades expected to increase neutron produc
The mass of the top quark is measured using top-quark-top-antiquark pair events with high transverse momentum top quarks. The dataset, collected with the ATLAS detector in proton–proton collisions at s=13 TeV delivered by the Large Hadron Collider, corresponds to an integrated luminosity of 140 fb−1. The analysis targets events in the lepton-plus-jets decay channel, with an electron or muon from a
BACKGROUND: Ageing is associated with circadian rhythm sleep disorders, poor sleep at night, less physical activity and more time spent indoors, affecting the wellbeing of older adults. Their sleep and mood could benefit from daytime outdoor physical activity, exposure to daylight, better indoor lighting and sleep routines. However, changes to routines can be challenging depending on individual be
Context. Ultra-hot Jupiters (UHJs) are gas giant exoplanets that are strongly irradiated by their star, setting intense molecular dissociation that leads to atmospheric chemistry dominated by ions and atoms. These conditions inhibit day-to-night heat redistribution, which results in high temperature contrasts. Phase-curve observations over several passbands offer insights on the thermal structure
Importance: Etiologic heterogeneity in breast carcinogenesis needs to be well characterized for targeted prevention. Associations between menopausal hormonal therapy (MHT) and oral contraceptive (OC) use and breast cancer intrinsic-like subtypes are not well understood. Objective: To examine whether exogenous hormone use is differentially associated with breast cancer subtypes and to evaluate hete
A measurement of the B0 meson lifetime using B0→J/ψK∗0 decays in data from 13 TeV proton–proton collisions with an integrated luminosity of 140fb-1 recorded by the ATLAS detector at the LHC is presented. The measured effective lifetime is (Formula presented.) The average decay width extracted from the effective lifetime, using parameters from external sources, is (Formula presented.) where the unc
Deep learning has advanced flood forecasting through its strong nonlinear modeling capabilities. However, accuracy declines and robustness remain insufficient at longer forecast lead times. Therefore, an evolutionary deep learning model for flood forecasting was developed by integrating time-varying filter-based empirical mode decomposition (TVFEMD), sample entropy-based signal reconstruction (SE)
