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Study highlights how population density and location shape litter levels facing UK communities

A study of over 97 citizen scientists found that coastal areas have significantly more litter than inland locations, with urban areas consistently exhibiting more litter than rural areas. The research highlights the need for tailored waste management strategies to address regional differences in litter patterns.

SourceUniversity of Plymouth·JournalMarine Pollution Bulletin·TypeExperimental study·DateMar 6, 2025

Artificial intelligence can be used to predict river discharge and warn of potential flooding, new Concordia study shows

Researchers developed a machine-learning tool that provides accurate predictions for flood-prone areas, using historical data and weather-based predictors. The model can predict short-term river discharge with high accuracy, giving real-time data on water movement through the river.

SourceConcordia University·JournalHydrology·TypeComputational simulation/modeling·DateNov 19, 2024

Novel sex-determination mechanism revealed in mammals

Researchers at Hokkaido University discovered a novel sex-determination mechanism in the Amami spiny rat, a species lacking the Y chromosome and Sry gene. The mechanism involves the upregulation of Sox9 gene on chromosome 3, induced by a new regulatory element similar to Enh14.

SourceHokkaido University·JournalProceedings of the National Academy of Sciences·TypeExperimental study·DateNov 28, 2022

Pandemic planning: Government should embrace uncertainty rather than confront it or shy away from it

New research suggests the UK's pandemic planning was limited by an outdated modelling structure, highlighting the need for a more holistic approach to decision-making. Professor Ashraf Labib proposes a hybrid model combining resilience triangle and bowtie modelling with five guiding principles to enhance public policy decisions.

SourceUniversity of Portsmouth·JournalSafety Science·DateJun 16, 2021

Wrangling data flood to manage the health of streams

Researchers at Michigan State University have developed a new database and algorithm to analyze upstream data, enabling the management of stream health across large landscapes. The system allows for rapid analysis of 2.6 million stream reaches in the contiguous United States, reducing analysis time from weeks to just five hours.

SourceMichigan State University·JournalSpringerPlus·DateNov 2, 2014

Making sense of the genome

A new two-step method for identifying transcription factors has been developed, reducing irrelevant regulators by 85%. The tool, ConSite, uses a combination of sequence scanning and conservation analysis to pinpoint regulatory elements.

SourceBMC (BioMed Central)·JournalJournal of Biology·DateMay 22, 2003