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Watchdog: EPA s lead pipe fix sent about $3 billion to states based on unverified data

The Environmental Protection Agency distributed about $3 billion to states last year to replace harmful lead pipes based on unverified data, according to an agency inspector general's memo, likely meaning some states got too much money and others got too little. Investigators found two states had submitted inaccurate data, the memo released Wednesday said. The EPA has since made changes, but the inspector general said the agency could do more.

United statesNew jerseyErik olsonSeanw odonnellMary katherine wildemanJohn rumplerTom neltnerNatural resources defense councilEnvironmental protection agencyFlorida department of environmental qualityAssociated pressWalton family foundationGeneral seanBipartisan infrastructure lawUnleaded kidsEnvironment america

FDA Issues Reminder for Medical Device Manufacturers to Ensure Data Reliability | Gardner Law

FDA Issues Reminder for Medical Device Manufacturers to Ensure Data Reliability | Gardner Law
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Bioresearch monitoring programDrug administrationEmerging trendUnreliable dataMonitoring programMedical device manufacturersAccreditation schemeConformity assessment

The Cities With the Fastest and Slowest Traffic in the World

Traffic moves fastest in midwestern US cities, while it's slowest in cities in India, Bangladesh, and Nigeria.

South koreaNew yorkUnited statesCity ofUnited kingdomP yongyang siNorth koreaSloan museumMexico cityDistrito federalRehman asad nurphotoProttoy akbarJustice shahabuddin ahmedNational bureau of economic researchAalto universitySloan museum of discovery

Beware of Unreliable Data in Model Evaluation: A LLM Prompt Selection case study with Flan-T5

You may choose suboptimal prompts for your LLM (or make other suboptimal choices via model evaluation) unless you clean your test data.

Jonas muellerChris mauckCommunity slackGoogle researchUnreliable dataModel evaluationStanford politeness datasetObserved testClean testClean test accuracyObserved test accuracyNoisy evaluationLarge language modelTest accuracyAvailable test dataMore reliable

Unzuverlässige Daten: Apple Watch als wissenschaftlicher Gesundheitssensor nur bedingt geeignet

Unzuverlässige Daten: Apple Watch als wissenschaftlicher Gesundheitssensor nur bedingt geeignet
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