Understanding how molecular alterations propagate across biological systems to drive disease remains a central challenge. Although high-throughput profiling enables comprehensive characterization of t...
Bayesian palaeoclimate reconstruction from fossil pollen counts relies on a modern pollen-climate calibration data set to infer the pollen-climate relationships used to reconstruct past climates. Whil...
The diverse formats of CSV and Parquet files in data lakes pose a significant challenge to traditional ETL, which relies on data engineers to pre-define a target database schema and build a complex pi...
The seafloor is the ultimate sink for most litter worldwide. Although significant efforts have been made over the past two decades to assess the impact of litter on marine ecosystems, collecting quant...
Causal discovery algorithms learn a network that describes the causal dependencies among random variables. A common workflow involves first utilizing conditional independence properties on observation...
In recent years, Marine Natural Products (MNPs) have emerged as a significant source for anticancer drug discovery, as many natural products can offer structural diversity, unique mechanisms of action...
Global fisheries are under increasing pressure from overfishing and climate change, threatening marine biodiversity and food security. Disentangling the impacts of these two drivers is essential for s...
As the Gulf of Maine warms, characterizing seasonal baseline levels of the human pathogen Vibrio parahaemolyticus (Vp) in Eastern oysters (Crassostrea virginica) is crucial, along with synoptic enviro...
Diverse ecosystems on land and in the ocean are thought to be more productive, stable and resistant to change, but these relationships are highly variable across systems and scales. Although the produ...
The aim of this study is to empirically investigate the existence of a sectoral asset price channel of monetary policy in the region of the six republics of former Yugoslavia. The study constructs sec...
Modeling higher-order interactions (HOI) has emerged as a crucial challenge in complex systems analysis, as many phenomena cannot be fully captured by pairwise relationships alone. Hypergraphs, which ...
Causal discovery aims to infer causal relationships among variables from observational data, typically represented by a directed acyclic graph (DAG). Most existing methods assume independent and ident...
The Gulf of California sustains important fisheries, including those targeting spiny lobsters. Despite their economic importance, little is known about the interactions with their parasites, which pla...
Elasmobranchs (sharks and rays) are among the most threatened marine vertebrates worldwide, yet the consequences of their decline across multiple dimensions of biodiversity remain poorly understood. H...
This paper revisits and extends the 2013 development by Rockafellar and Uryasev of the Risk Quadrangle (RQ) as a unified scheme for integrating risk management, optimization, and statistical estimatio...
🌊
