{ "story_id": "246a4e140a64dbb81548ed68dab3d3fa", "desk": "drm3", "revision": 1, "published_at": "2026-09-01T16:00:00.000Z", "content_hash": "3b344ac05b1f148cf78c095249bfdebbc0ec304145f4807f936f84710f64f25e", "hash_basis": "sha256 over `headline\\ndek\\nprose`, plus `\\n` + the canonical citations JSON when any source is placed, plus `\\n#blog` for blogs", "basis": { "headline": "Researchers Discover Possible New Worm Species in Chilean Rivers", "dek": "Scientists in Chile have identified potential new species of worms in local rivers and lakes.", "prose": "Researchers in Chile have discovered possible new species of worms in the country's rivers and lakes. [^1]\n\nResearchers have developed a system where human sperm cells race through courses less than half a centimeter long etched into microfluidic silicon chips. [^2]\n\nResearchers introduced a large, fully annotated experimental dataset for batch distillation under normal and anomalous operating conditions to address data scarcity in industrial anomaly detection. [^3]\n\nThe study augments the experimental dataset with a corresponding simulation dataset to create a novel hybrid dataset for deep anomaly detection. [^4]\n\nThe discovery is based on a scientific study that is currently being analyzed and may be subject to new tests. [^5]\n\nThe microfluidic silicon chips used in the experiment feature specific tracks designed to simulate racing conditions for the sperm cells. [^6]\n\nAfter calibration to a single reference experiment, the dynamics of other experiments are well predicted, enabling the fully automated generation of time-series data. [^7]\n\nThe simulation data is generated using a novel Python-based process simulator that employs a tailored index-reduction strategy for differential-algebraic equations. [^8]\n\nThe article states that the results of the study should not be considered conclusive at this time. [^9]\n\nThe experiment is described as a 'World Cup' style event to evaluate the competitive performance of the sperm cells. 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