Zobrazeno 1 - 10
of 25
pro vyhledávání: '"A. Y. Tetteh"'
Publikováno v:
Carbon Trends, Vol 14, Iss , Pp 100328- (2024)
The historicity and versatility of activated carbons (ACs) and other carbon derivatives (OCDs) date back to antiquity. This article reviews the recent advances in synthesis, characterization, and environmental applications of these demand-driven adso
Externí odkaz:
https://doaj.org/article/4fb82cbf1727442ca7ce0f23eecbdf30
Publikováno v:
Cogent Engineering, Vol 10, Iss 1 (2023)
AbstractThere are a number of genotypes/varieties of kenaf (Hibiscus cannabinus L) fibre in Ghana. The kenaf fibre is used in both engineering and social products and its properties improve its choice. This paper reports the tensile strength and elon
Externí odkaz:
https://doaj.org/article/5c2f72200a9a44d596e4f7e714fbb4ef
Publikováno v:
Environmental Advances, Vol 11, Iss , Pp 100351- (2023)
This review, which presents recent advancements in production and applications in environmental remediation of chitosan and chitosan derivatives, covers relevant literature in the last 7–8 years, which is nearly half-term of the 15-year period wher
Externí odkaz:
https://doaj.org/article/88ce2edac3674694a46c8bc44ef9fa5e
Publikováno v:
Plants, Vol 8, Iss 11, p 518 (2019)
Climate change is expected to aggravate the effects of drought, heat and combined drought and heat stresses. An important step in developing ‘climate smart’ maize varieties is to identify germplasm with good levels of tolerance to the abiotic str
Externí odkaz:
https://doaj.org/article/c048f5ec66ec4928aae5704aa35d7d24
Publikováno v:
AIAA SCITECH 2022 Forum.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91f8214ee633228354faeb7c3b91803a
https://doi.org/10.2514/6.2022-2162
https://doi.org/10.2514/6.2022-2162
Publikováno v:
AIAA SCITECH 2022 Forum.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::853123c1e63e5260e9feb810458bbac2
https://doi.org/10.2514/6.2022-2161
https://doi.org/10.2514/6.2022-2161
Autor:
Charles Nelimor, Antonia Y. Tetteh, Simon P. A. Nguetta, Ana Luísa Garcia-Oliveira, Baffour Badu-Apraku
Publikováno v:
Journal of Crop Improvement. 34:122-138
Landraces of maize (Zea mays L.) are invaluable sources of genetic variability for improving agronomic traits, and they hold great promise in developing new maize varieties with enhanced re...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d38984efed82515be935c3c57ad1945d
https://doi.org/10.1080/15427528.2019.1674760
https://doi.org/10.1080/15427528.2019.1674760
Publikováno v:
African Journal of Plant Science. 13:168-184
Roselle (Hibiscus sabdariffa var. altissima), a bast fibre crop adapted to the warm climate of Northern Ghana, offers a great economic potential not yet explored for lack of information on its distribution, collection, and genetic diversity. Little v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::448260beb68d3f1d98b071c59a07bf17
https://doi.org/10.5897/ajps2019.1783
https://doi.org/10.5897/ajps2019.1783
Autor:
Antonia Y. Tetteh, Katherine H. Sun, Chiu-Yueh Hung, Farooqahmed S. Kittur, Gordon C. Ibeanu, Daniel Williams, Jiahua Xie
Publikováno v:
International Journal of Microbiology, Vol 2014 (2014)
Bacteria can reduce toxic selenite into less toxic, elemental selenium (Se0), but the mechanism on how bacterial cells reduce selenite at molecular level is still not clear. We used Escherichia coli strain K12, a common bacterial strain, as a model t
Externí odkaz:
https://doaj.org/article/3908122a55724accb03159b10e311e6c
Autor:
Enoch Odame Anto, Bright Amankwah, Emmanuel Awuni Kolog, Ebenezer Afrifa-Yamoah, Eric Adua, Antonia Y. Tetteh, Wei Wang, Christian Obirikorang, Emmanuel Acheampong
Publikováno v:
Translational Medicine Communications, Vol 6, Iss 1, Pp 1-15 (2021)
Background Accurate prediction and early recognition of type II diabetes (T2DM) will lead to timely and meaningful interventions, while preventing T2DM associated complications. In this context, machine learning (ML) is promising, as it can transform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a8b630189eebbdb46c36006dc14644f
https://doi.org/10.21203/rs.3.rs-172421/v1
https://doi.org/10.21203/rs.3.rs-172421/v1
