Výsledky vyhledávání

Akademický článek

Datasets on agromorphological characters and distribution of cassava (Manihot esculenta L.) accessions cultivated in South-West and North-Central regions of Nigeria

Autor: Isaac O. Abegunde, Oghenevwairhe P. Efekemo, Olabode Onile-ere, Folashade Otitolaye, Emmanuel O. Idehen, Angela O. Eni

Publikováno v: Data in Brief, Vol 57, Iss , Pp 110899- (2024)

The data presented here are agronomic indicators of cassava accessions collected during epidemiological surveys of cassava farms across South-West and North-Central Nigeria in 2021-2022. Cassava accessions were obtained from each farm surveyed and in

Externí odkaz: https://doaj.org/article/74d0aae5118d4152bbe20d6cdc6d4314

Zobrazit plný text záznamu

Akademický článek

An Alarming Eastward Front of Cassava Mosaic Disease in Development in West Africa

Autor: Mariam Combala, Justin S. Pita, Michel Gbonamou, Alusaine Edward Samura, William J.-L. Amoakon, Bekanvié S. M. Kouakou, Olabode Onile-ere, Seydou Sawadogo, Guy R. Eboulem, Daniel H. Otron, John Steven S. Seka, Angela Eni, Cyrielle Ndougonna, Fidèle Tiendrébéogo

Publikováno v: Viruses, Vol 16, Iss 11, p 1691 (2024)

Begomoviruses are a major threat to cassava production in Africa. Indeed, during the 1990s, the emergence of a recombinant begomovirus (East African cassava mosaic virus-Uganda, EACMV-Ug) resulted in crop devastation and severe famine in Uganda. In 2

Externí odkaz: https://doaj.org/article/7fa1e3bf9e784ac4a8c6ea4f7d3f22da

Zobrazit plný text záznamu

Plný text ve formátu HTML

Report

AMGPT: a Large Language Model for Contextual Querying in Additive Manufacturing

Autor: Chandrasekhar, Achuth, Chan, Jonathan, Ogoke, Francis, Ajenifujah, Olabode, Farimani, Amir Barati

Generalized large language models (LLMs) such as GPT-4 may not provide specific answers to queries formulated by materials science researchers. These models may produce a high-level outline but lack the capacity to return detailed instructions on man

Externí odkaz: http://arxiv.org/abs/2406.00031

Zobrazit plný text záznamu

Report

Integrating Multi-Physics Simulations and Machine Learning to Define the Spatter Mechanism and Process Window in Laser Powder Bed Fusion

Autor: Ajenifujah, Olabode T., Ogoke, Francis, Wirth, Florian, Beuth, Jack, Farimani, Amir Barati

Laser powder bed fusion (LPBF) has shown promise for wide range of applications due to its ability to fabricate freeform geometries and generate a controlled microstructure. However, components generated by LPBF still possess sub-optimal mechanical p

Externí odkaz: http://arxiv.org/abs/2405.07823

Zobrazit plný text záznamu

Report

The Canadian VirusSeq Data Portal & Duotang: open resources for SARS-CoV-2 viral sequences and genomic epidemiology

Autor: Gill, Erin E., Jia, Baofeng, Murall, Carmen Lia, Poujol, Raphaël, Anwar, Muhammad Zohaib, John, Nithu Sara, Richardsson, Justin, Hobb, Ashley, Olabode, Abayomi S., Lepsa, Alexandru, Duggan, Ana T., Tyler, Andrea D., N'Guessan, Arnaud, Kachru, Atul, Chan, Brandon, Yoshida, Catherine, Yung, Christina K., Bujold, David, Andric, Dusan, Su, Edmund, Griffiths, Emma J., Van Domselaar, Gary, Jolly, Gordon W., Ward, Heather K. E., Feher, Henrich, Baker, Jared, Simpson, Jared T., Uddin, Jaser, Ragoussis, Jiannis, Eubank, Jon, Fritz, Jörg H., Gálvez, José Héctor, Fang, Karen, Cullion, Kim, Rivera, Leonardo, Xiang, Linda, Croxen, Matthew A., Shiell, Mitchell, Prystajecky, Natalie, Quirion, Pierre-Olivier, Bajari, Rosita, Rich, Samantha, Mubareka, Samira, Moreira, Sandrine, Cain, Scott, Sutcliffe, Steven G., Kraemer, Susanne A., Joly, Yann, Alturmessov, Yelizar, consortium, CPHLN, consortium, CanCOGeN, Academic, VirusSeq Data Portal, network, Health, Fiume, Marc, Snutch, Terrance P., Bell, Cindy, Lopez-Correa, Catalina, Hussin, Julie G., Joy, Jeffrey B., Colijn, Caroline, Gordon, Paul M. K., Hsiao, William W. L., Poon, Art F. Y., Knox, Natalie C., Courtot, Mélanie, Stein, Lincoln, Otto, Sarah P., Bourque, Guillaume, Shapiro, B. Jesse, Brinkman, Fiona S. L.

The COVID-19 pandemic led to a large global effort to sequence SARS-CoV-2 genomes from patient samples to track viral evolution and inform public health response. Millions of SARS-CoV-2 genome sequences have been deposited in global public repositori

Externí odkaz: http://arxiv.org/abs/2405.04734

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání