Research Keyword: computational modeling

From consortium design to bioaugmented filters: scalable yeast-based strategies for lead remediation in water systems

Lead contamination in water is a serious health problem worldwide. This research developed a solution using natural yeast strains from a river that can remove lead from water. Scientists optimized three different yeast types to work together and incorporated them into filters, achieving up to 99.97% lead removal. This sustainable, low-cost approach could make clean water more accessible globally, especially in resource-limited areas.

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The cellular architecture of memory modules in Drosophila supports stochastic input integration

Scientists created a detailed computer model of a memory-processing neuron in the fruit fly brain to understand how memories are stored and recalled. The study found that the neuron’s design allows it to store many different memories using random connections from input neurons, similar to how a brain might encode multiple learned experiences. This research reveals that memories can be efficiently stored without requiring precise positioning of individual neural connections, suggesting the brain uses flexibility and randomness as computational strategies.

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