Results 221 to 230 of about 824,250 (266)

An artificial neural network–based deep learning model to predict combined stress impact and interaction in plants

Applications in Plant Sciences, EarlyView.
Abstract Premise Plants are frequently exposed to combinations of abiotic and biotic stresses that pose a greater threat to yield and productivity than individual stresses. However, knowledge of the impact of many stress combinations in numerous plants is limited due to the lack of experimental data, which could take decades to generate.
Piyush Priya, Prachi Pandey, Rubi Jain, Manu Kandpal, Shradha Jain, Rim Chaudhury, Venkategowda Ramegowda, Muthappa Senthil‐Kumar   +7 more
wiley   +1 more source

Pollen-foraging preferences of honey bee colonies (Apis mellifera L.) based on plant bloom timing in an urbanized Northeast U.S. habitat. [PDF]

PLoS One
Moran-Bariso CFP, Gilley DC.
europepmc   +1 more source

Taxonomy of the Full Health and Societal Value of Maternal Vaccination to Prevent Infant Respiratory Syncytial Virus Disease. [PDF]

Infect Dis Ther
Sevilla JP, Burnes D, Bloom DE.
europepmc   +1 more source

Diversity, Assembly, and Habitat-Driven Dynamics of Microbial Communities in Eutrophic Dianchi Lake, Southwest China. [PDF]

Microorganisms
Chen J, Zhang Z, Wang B, Yang J, Cao G, Dong J, Li T, Guo Y.   +7 more
europepmc   +1 more source

Prokaryotic and Eukaryotic Community Succession and Potential Parasitic Interactions During Two <i>Alexandrium pacificum</i> Blooms in Aotearoa New Zealand. [PDF]

Toxins (Basel)
Biessy L, Mackenzie L, Smith KF.
europepmc   +1 more source

Rapid assessment of phytoplankton assemblages using Next Generation Sequencing and Barcode of Life Data System: a widely applicable HAB-ID toolkit for detecting and monitoring biodiversity loss and harmful algal blooms. [PDF]

PeerJ
Ivanova NV, Watson LC, Comte J, Bessonov K, Abrahamyan A, Crevecoeur S, Watson SB.   +6 more
europepmc   +1 more source

Magnetic resonance enterography to predict disabling disease in newly diagnosed Crohn's disease: the METRIC-EF multivariable prediction model, multicentre diagnostic inception cohort study.

Health Technol Assess
Kumar S, Plumb A, Mallett S, Clarke C, Parry T, Weng JYJ, Bhatnagar G, Bloom S, Hamlin J, Hart A, Travis S, Vega R, Hameed M, Bhagwanani A, Greenhalgh R, Helbren E, Stephenson JA, Zealley I, Eze V, Franklin J, Corr A, Gupta A, Isaac E, Tolan D, Hogg W, Higginson A, Cicchetti M, Gupta S, Serran M, Raine T, Ahmed M, Brezina B, Patterson I, Lee L, Pollok R, Patel J, Seward A, Baillie S, Chowdary K, Philpott S, Wadke A, Halligan S, Taylor SA.   +42 more
europepmc   +1 more source