Results 221 to 230 of about 1,164,328 (326)

Plant Diseases [PDF]

Agronomy Journal, 1953
openaire   +2 more sources

Transcriptional network analysis of PTEN‐protein‐deficient prostate tumors reveals robust stromal reprogramming and signs of senescent paracrine communication

Molecular Oncology, EarlyView.
Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice, Jose I. Lopez, Aitziber Ugalde‐Olano, Maite Zufiaurre, Ianire Astobiza, Natalia Martin‐Martin, Laura Bozal‐Basterra, Saioa Garcia‐Longarte, Amaia Zabala‐Letona, Sofia Rey, Aida Santos‐Martin, Miguel Unda, Ana Loizaga‐Iriarte, Mariona Graupera, Paolo Nuciforo, Arkaitz Carracedo, Isabel Mendizabal   +16 more
wiley   +1 more source

The synergistic effects of humic acid, chitosan and <i>Bacillus subtilis</i> on tomato growth and against plant diseases. [PDF]

Front Microbiol
Qiu C, Bao Y, Lü D, Yan M, Li G, Liu K, Wei S, Wu M, Li Z.   +8 more
europepmc   +1 more source

Corrigendum: mPD-APP: a mobile-enabled plant diseases diagnosis application using convolutional neural network toward the attainment of a food secure world. [PDF]

Front Artif Intell, 2023
Asani EO, Osadeyi YP, Adegun AA, Viriri S, Ayoola JA, Kolawole EA.   +5 more
europepmc   +1 more source

DEEP LEARNING – BASED PLANT DISEASE IDENTIFICATION AND CATEGORIZATION

Vedali Narayan Nemade, T Thiruvenkadam, W Mcculloch, W Pitts, D Ackley, G Hinton, T Sejnowski, H Kelley, S Dreyfus, S Dreyfus, Y Lecun, L Bottou, Y Bengio, P Haffner, G Hinton, S Osindero, Y.-W Teh, G Hinton, R Salakhutdinov, G Hinton, R Salakhutdinov, S Hossain, D.-J Lee, J Kocic, N Jovicic, V Drndarevic, A Esteva, A Robicquet, B Ramsundar, V Kuleshov, M Depristo, K Chou, C Cui, G Corrado, S Thrun, J Dean, R Miotto, F Wang, S Wang, X Jiang, J Dudley, D Rav, C Wong, F Deligianni, M Berthelot, J Andreu-Perez, B Lo, G.-Z Yang, S Yousfi, S.-A Berrani, C Garcia, P Devries, F Vigas, M Wattenberg, B Meade, S Mousavi, W Zhu, Y Sheng, G Beroza, Cred, T Perol, M Gharbi, M Denolle, K Siau, Y Yang, J Heaton, N Polson, J Witte, K He, X Zhang, S Ren, J Sun, S Mohanty, D Hughes, M Salath, S Sladojevic, M Arsenovic, A Anderla, D Culibrk, D Stefanovic, J Wan, D Wang, S Hoi, P Wu, J Zhu, Y Zhang, J Li, A Krizhevsky, I Sutskever, G Hinton   +89 more
openalex   +1 more source

The traditional use of southern African medicinal plants in the treatment of viral respiratory diseases: A review of the ethnobotany and scientific evaluations

, 2020
Ian Edwin Cock, Sandy van Vuuren
openalex   +2 more sources

Next‐generation proteomics improves lung cancer risk prediction

Molecular Oncology, EarlyView.
This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj, Clara Frick, Ben Schöttker, Bernd Holleczek, Hermann Brenner   +4 more
wiley   +1 more source

An Overview of <i>Aspergillus</i> Species Associated with Plant Diseases. [PDF]

Pathogens
Zakaria L.
europepmc   +1 more source

Plant Diseases [PDF]

Botanical Gazette, 1906
openaire   +3 more sources

Predictive Modeling of Soil Pathogenic Microorganisms in Diseased Plants: A Comparative Machine Learning Approach

meriem benbernou, Hadjer Khelifa, Kenzi Meriem, Hadja Fatima Tbahriti   +3 more
openalex   +1 more source