Results 211 to 220 of about 221,251 (313)

Emergence of alternative states in a synthetic human gut microbial community. [PDF]

open access: yesNat Commun
Garza DR   +8 more
europepmc   +1 more source

High‐throughput information extraction of printed specimen labels from large‐scale digitization of entomological collections using a semi‐automated pipeline

open access: yesMethods in Ecology and Evolution, EarlyView.
Abstract Natural history museums curate billions of insect specimens, representing an unparalleled record of biodiversity. Although large‐scale digitization has expanded access to specimen images, extracting label metadata remains a major bottleneck, typically requiring time‐intensive manual transcription.
Margot Belot   +7 more
wiley   +1 more source

Teaching molecular genetics using <i>Paramecium</i> and RNA interference: research-based learning and project ownership. [PDF]

open access: yesJ Microbiol Biol Educ
Valentine MS   +6 more
europepmc   +1 more source

A short guide for effective field data collection

open access: yesMethods in Ecology and Evolution, EarlyView.
Abstract Field data collection is a foundation of ecological research, but it can be challenging and error‐prone. Researchers planning and undertaking fieldwork for the first time are especially vulnerable to logistical issues that can be avoided with more guidance.
Faith A. M. Jones   +2 more
wiley   +1 more source

Rural land rental markets in developing countries: Can survey design innovations improve land market participation statistics?

open access: yesAmerican Journal of Agricultural Economics, EarlyView.
Abstract A longstanding puzzle in the African land rental market literature is the often‐observed discrepancy between the number of tenants (renters‐in) and the much smaller number of landlords (renters‐out) in survey data. If this discrepancy derives from systematic biases in survey data responses on rental market participation, then the existing body
Gashaw T. Abate   +3 more
wiley   +1 more source

Customizing AI‐based screening with real‐world data: Practical insights from diabetic retinopathy

open access: yesActa Ophthalmologica, EarlyView.
Abstract Purpose Diabetic retinopathy (DR) is a leading cause of vision loss in middle‐aged adults globally. Although artificial intelligence (AI)‐based screening tools like IDx‐DR (classification) and Thirona RetCAD (regression) have shown high sensitivity in controlled settings, real‐world screening faces challenges due to missing or low‐quality ...
Broder Poschkamp   +17 more
wiley   +1 more source

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