Polymetallic sulfide deposits produced at hydrothermal vent fields are targets for mining exploitation along the Mid-Atlantic Ridge, threatening the functioning and resilience of vent ecosystems that ...
Understanding the current and future trajectories of critical habitats is essential for biodiversity conservation and ecosystem management, especially in semi-enclosed environments such as the Mediter...
The high dimensionality of microbial diversity data from 'omics observations can be reduced using Machine Learning, with many recent studies showcasing ML utility for exploratory ecological feature fi...
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...
We study the minimax risk for detecting a sparse elevated-mean Gaussian submatrix inside a larger noisy matrix. When the planted submatrix has size $n\times n$ and the ambient matrix has size $N\times...
Large reasoning models rely on long chain-of-thought generation to solve complex problems, but extended reasoning often incurs substantial computational cost and can even degrade performance due to ov...
An investigation, from a gender perspective, of how students view the ethical implications and societal effects of artificial intelligence is conducted, examining concepts that could have a big influe...
Determining an appropriate sample size for a study is a crucial step in planning scientific research. Appropriate sample size planning avoids both inadequate and inflated sample sizes. Inflated sample...
Naphthopyranones represent a structurally diverse family of fungal polyketides exhibiting a broad range of biological activities, including antibacterial, antifungal, and cytotoxic properties. Despite...
Determining the number of change-points is a first-step and fundamental task in change-point detection problems, as it lays the groundwork for subsequent change-point position estimation. While the ex...
Mechanistic interpretability (MI) is an emerging framework for interpreting neural networks. Given a task and model, MI aims to discover a succinct algorithmic process, an interpretation, that explain...
Verifiable claim detection asks whether a claim expresses a factual statement that can, in principle, be assessed against external evidence. As an early filtering stage in automated fact-checking, it ...
Prediction of genetic biomarkers, e.g., microsatellite instability in colorectal cancer is crucial for clinical decision making. But, two primary challenges hamper accurate prediction: (1) It is diffi...
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