Despite the remoteness of their breeding sites, subantarctic seabirds are susceptible to anthropogenic pollutants (e.g. microplastics) and other chemical stressors (e.g. plastic additives) that are re...
The Gulf Stream is important for the climate system through its transport and air-sea exchange of heat. What is less well accepted is the role of the Gulf Stream in the carbon cycle. Here we examine h...
The Arctic and sub-Arctic are warming at least three times faster than the global average, altering terrestrial carbon delivery to the oceans and marine carbon cycling. The sequestration of such carbo...
Marine pollution is an escalating global concern, and marine mammals are widely recognized as sentinels of cumulative chemical and biological stressors in coastal ecosystems. South American otariids (...
Indonesia's marine ecosystem is rich in biodiversity, including sea cucumbers that contain a range of potentially valuable bioactive compounds. Among these, exosomes-nanosized extracellular vesicles (...
Murcia coastline sustains high marine biodiversity but has suffered severe impacts from toxic heavy-metal discharges. We report mercury (Hg) and selenium (Se) levels, and the Se:Hg molar ratio, in liv...
We modify the Double Machine Learning estimator to broaden its applicability to macroeconomic time-series settings. A deterministic cross-fitting step, termed Reverse Cross-Fitting, leverages the time...
AlphaFold3-class structure predictors pair a representational trunk, which processes sequence and context, with a diffusion module, which generates atomic coordinates. How biological information chang...
Daily probability changes in Kalshi macro prediction markets forecast cryptocurrency realized volatility through two distinct channels. The monetary policy channel, measured by Fed rate repricing on K...
Marine bioactive materials are obtained from diverse organisms, which include algae, sponges, corals, and mollusks. These materials possess unique chemical structures and evolutionary traits that prov...
Untethered soft robots are governed by habitat-specific constraints because operation without physical tethers requires their compliant structures, actuation mechanisms, and energy-delivery pathways t...
With the help of harsh propagation environments, reliable data acquisition in UWSNs/UGWSNs may suffer from packet loss a few times, extra communication latency, energy scarcity, and retransmission ove...
Deep learning models often struggle under natural distribution shifts, a common challenge in real-world deployments. Test-Time Adaptation (TTA) addresses this by adapting models during inference witho...
Staged tree models enhance Bayesian networks by incorporating context-specific dependencies through a stage-based structure. In this study, we present a new framework for estimating staged trees using...
Longitudinal causal studies often record histories as irregular functional fragments: laboratory values, physiologic signals, sensor streams, and image-derived summaries measured at unequal and inform...
Robust and accurate neural decoders are integral to neurotechnologies such as brain-computer interfaces and closed-loop experiments. Recent work has shown that tokenizing neural data at the spike leve...
Online advertising platforms host hundreds of thousands of A/B tests, but the platform's delivery algorithm routes each creative to the audience it predicts will engage. Every two-arm test therefore c...
The global ocean receives an estimated 15 teragrams of plastic annually, yet less than 0.2% of this mass is detected floating at the surface. This imbalance, known as the "missing plastic paradox," in...
Primary production in coastal upwelling regions has often been presumed to be supported primarily by allochthonous nutrients, but inconsistent nutrient delivery and the metabolic cost of nitrate assim...
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