Zobrazeno 1 - 10
of 2 274
pro vyhledávání: '"Donkor, P"'
Computing in the life sciences has undergone a transformative evolution, from early computational models in the 1950s to the applications of artificial intelligence (AI) and machine learning (ML) seen today. This paper highlights key milestones and t
Externí odkaz:
http://arxiv.org/abs/2406.12108
Autor:
Banerjee, Debarshi, Azizi, Khatereh, Egan, Colin K., Donkor, Edward Danquah, Malosso, Cesare, Di Pino, Solana, Miron, Gonzalo Diaz, Stella, Martina, Sormani, Giulia, Hozana, Germaine Neza, Monti, Marta, Morzan, Uriel N., Rodriguez, Alex, Cassone, Giuseppe, Jelic, Asja, Scherlis, Damian, Hassanali, Ali
The use of computer simulations to study the properties of aqueous systems is, today more than ever, an active area of research. In this context, during the last decade there has been a tremendous growth in the use of data-driven approaches to develo
Externí odkaz:
http://arxiv.org/abs/2403.06236
Autor:
Donkor, Edward Danquah, Offei-Danso, Adu, Rodriguez, Alex, Sciortino, Francesco, Hassanali, Ali
The presence of a second critical point in water has been a topic of intense investigation for the last few decades. The molecular origins underlying this phenomenon are typically rationalized in terms of the competition between local high-density (H
Externí odkaz:
http://arxiv.org/abs/2401.16245
Autor:
Di Pino, Solana, Donkor, Edward Danquah, Sánchez, Verónica M., Rodriguez, Alex, Cassone, Giuseppe, Scherlis, Damian, Hassanali, Ali
The structure of the excess proton in liquid water has been the subject of lively debate from both experimental and theoretical fronts for the last century. Fluctuations of the proton are typically interpreted in terms of limiting states referred to
Externí odkaz:
http://arxiv.org/abs/2308.15319
Autor:
Verdel, R., Vitale, V., Panda, R. K., Donkor, E. D., Rodriguez, A., Lannig, S., Deller, Y., Strobel, H., Oberthaler, M. K., Dalmonte, M.
Publikováno v:
Phys. Rev. B 109, 075152 (2024)
Quantum simulators offer powerful means to investigate strongly correlated quantum matter. However, interpreting measurement outcomes in such systems poses significant challenges. Here, we present a theoretical framework for information extraction in
Externí odkaz:
http://arxiv.org/abs/2307.10040
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract In low- and middle-income countries, indoor air pollution (IAP) is a serious public health concern, especially for women and children who cook with solid fuels. IAP exposure has been linked to a number of medical conditions, including pneumo
Externí odkaz:
https://doaj.org/article/7669e93097214a1c91216916a624c8e6
Publikováno v:
African Journal of Emergency Medicine, Vol 14, Iss 2, Pp 122-127 (2024)
Introduction: Frequent reassessment of injured patients is an important component of trauma and emergency care. How frequently such reassessment is done in African hospitals has been minimally addressed. We sought to address this gap, as well as to a
Externí odkaz:
https://doaj.org/article/3e7fc9a905c04f9fac1aa833c93068c6
Autor:
Silas Selorm Daniels-Donkor, Agani Afaya, Dennis Bomansang Daliri, Timothy Tienbia Laari, Solomon Mohammed Salia, Mabel Apaanye Avane, Richard Adongo Afaya, Vida Nyagre Yakong, Martin Amogre Ayanore, Robert Kaba Alhassan
Publikováno v:
Archives of Public Health, Vol 82, Iss 1, Pp 1-11 (2024)
Abstract Background A significant factor impacting the incidence of maternal and neonatal fatalities is the timely initiation of antenatal care (ANC) services in healthcare facilities. Despite the recommendations by the World Health Organization and
Externí odkaz:
https://doaj.org/article/3173399a21164462a6fa3c0054cab99d
Autor:
John-Lewis Zinia Zaukuu, Zeenatu Suglo Adams, Nana Ama Donkor-Boateng, Eric Tetteh Mensah, Donald Bimpong, Lois Adofowaa Amponsah
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Discriminating different cultivars of maca powder (MP) and detecting their authenticity after adulteration with potent adulterants such as maize and soy flour is a challenge that has not been studied with non-invasive techniques such as near
Externí odkaz:
https://doaj.org/article/19bf58fb5b2649218a4312cfcef2a0d8
Machine-learning (ML) has become a key workhorse in molecular simulations. Building an ML model in this context, involves encoding the information of chemical environments using local atomic descriptors. In this work, we focus on the Smooth Overlap o
Externí odkaz:
http://arxiv.org/abs/2211.16196