Primary pulmonary synovial sarcoma (PPSS) is an exceptionally rare malignancy representing < 0.5% of all primary lung tumors. The monophasic (spindle cell) variant poses significant diagnostic challen...
Marine mussels represent a valuable source for discovery of novel biologically active peptides targeting key enzymes in the coagulation system. However, traditional iterative isolation methods are oft...
Marine algae-derived neurotoxins, commonly associated with harmful algal blooms (HABs), represent a paradox in marine and biomedical sciences. While traditionally studied for their ecological disrupti...
The integration of Automated Shuttles into shared urban spaces presents unique challenges due to the absence of traffic rules and the complex pedestrian interactions. Accurately anticipating pedestria...
NDAI zones let inventor and investor agents negotiate inside a Trusted Execution Environment (TEE) where any disclosed information is deleted if no deal is reached. This makes full IP disclosure the r...
Triangles capture higher-order structures in graphs and are fundamental to applications such as clustering and network analysis. To enable efficient use of such structures at scale, we study the probl...
Fisheries can strongly alter marine ecosystem dynamics, influencing the ecology and behaviour of top predators such as cetaceans. At the Tiber River estuary (Tyrrhenian Sea, Western Mediterranean), bo...
Seaweeds are important marine resources that contain a great variety of beneficial compounds, including protein, essential fatty acids, vitamins, minerals, fibers, and bioactive compounds such as poly...
Microplastics (MPs) have emerged as pervasive contaminants in marine ecosystems; however, their vertical distribution within the Arabian Sea water column remains poorly understood. This study investig...
Analysts routinely use Bayesian hierarchical models to understand natural processes. The no-U-turn sampler (NUTS) is the most widely used algorithm to sample high-dimensional, continuously differentia...
Probabilistic forecasts are essential for inventory management, where decisions depend on the full distribution of future demand. While probabilistic forecast combination is widely used to improve sta...
In this paper we study optimal exit strategies of gamblers with cumulative prospect theory (CPT) preferences in games where the expected payoff is strictly negative at each play, and formulate the pro...
Transformational electric vertical take-off and landing (eVTOL) vehicles have gained significant attention over the past decade due to their efficient wing-borne cruise capabilities and reduced relian...
Decentralized stochastic optimization is a fundamental paradigm for large-scale learning over networks, where agents communicate only with their neighbors and no central coordinator is required. For s...
Conventional robot social behavior generation has been limited in flexibility and autonomy, relying on predefined motions or human feedback. This study proposes CRISP (Critique-and-Replan for Interact...
Online misinformation is one of the most challenging issues lately, yielding severe consequences, including political polarization, attacks on democracy, and public health risks. Misinformation manife...
Recent work on distillation transfers the capabilities of large models to smaller ones often by updating the latter's parameters, through teacher forcing, on-policy distillation, and related training-...
The kelp Laminaria digitata uses iodide as a unique inorganic antioxidant to protect its surface and apoplastic space, with implications for atmospheric and marine chemistry as well as regional climat...
Understanding the transport of inorganic mercury (Hg) and the bioaccumulative neurotoxin methylmercury (MeHg) from land into coastal waters is essential for the people and wildlife of the Arctic. Here...
Like other rorqual whale species, blue whales (Balaenoptera musculus) evolved to specialize in consuming large numbers of small-bodied prey through engulfment filter feeding.1,2 Blue whales in the eas...
🌊
