Zobrazeno 1 - 10
of 15 766
pro vyhledávání: '"Lent"'
Autor:
Karsor K. Kollie, Jack Jenkins, Sally Theobald, Gartee Nallo, Otis Kpadeh, Lent Jones, Darwosu Borbor, Maneesh Phillip, Anna Wickenden, Jewel Tarpeh Kollie, Emerson Rogers, Zeela Zaizay, Martyn Stewart, Laura Dean
Publikováno v:
Parasitology, Vol 150, Pp 1052-1062 (2023)
Effective supply chain management is a critical pillar of well-functioning health systems ensuring that medical commodities reach those in need. In Liberia, the national neglected tropical disease (NTD) programme supports health systems strengthening
Externí odkaz:
https://doaj.org/article/440e7f0e2c69495d86894243ae705cd6
Autor:
Laura Dean, Mark Taylor, Sally Theobald, Zeela Zaizay, Karsor K. Kollie, Lent Jones, Otis Kpadeh, Gartee Nallo, Darwosu Borbor, Maneesh Phillip, Tiawanlyn G Godwin-Akpan, Deborah Fulamuso Mensah, Anna Wickenden, Jewel T Kollie, Emerson Rogers, Martyn Stewart
Publikováno v:
BMJ Global Health, Vol 9, Iss 1 (2024)
Introduction The WHO neglected tropical disease (NTD) roadmap stresses the importance of integrating NTDs requiring case management (CM) within the health system. The NTDs programme of Liberia is among the first to implement an integrated approach an
Externí odkaz:
https://doaj.org/article/f780047bb8764a79bc2bfe4887cad313
Autor:
Tatariya, Kushal, Kulmizev, Artur, Poelman, Wessel, Ploeger, Esther, Bollmann, Marcel, Bjerva, Johannes, Luo, Jiaming, Lent, Heather, de Lhoneux, Miryam
Wikipedia's perceived high quality and broad language coverage have established it as a fundamental resource in multilingual NLP. In the context of low-resource languages, however, these quality assumptions are increasingly being scrutinised. This pa
Externí odkaz:
http://arxiv.org/abs/2411.05527
Despite excellent results on benchmarks over a small subset of languages, large language models struggle to process text from languages situated in `lower-resource' scenarios such as dialects/sociolects (national or social varieties of a language), C
Externí odkaz:
http://arxiv.org/abs/2409.12683
Large Language Models (LLMs) are susceptible to malicious influence by cyber attackers through intrusions such as adversarial, backdoor, and embedding inversion attacks. In response, the burgeoning field of LLM Security aims to study and defend again
Externí odkaz:
http://arxiv.org/abs/2408.11749
Autor:
Bennett, Wendy L, Bramante, Carolyn T, Rothenberger, Scott D, Kraschnewski, Jennifer L, Herring, Sharon J, Lent, Michelle R, Clark, Jeanne M, Conroy, Molly B, Lehmann, Harold, Cappella, Nickie, Gauvey-Kern, Megan, McCullough, Jody, McTigue, Kathleen M
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 5, p e24003 (2021)
BackgroundThere is growing interest in identifying and recruiting research participants from health systems using electronic health records (EHRs). However, few studies have described the practical aspects of the recruitment process or compared elect
Externí odkaz:
https://doaj.org/article/82c60cd14e4b4352a99ea38657e9d2bd
Autor:
Mahoney, Brendan J., Lent, Craig S.
Publikováno v:
Physical Review RESEARCH 6, 023286 (2024)
The Lieb-Robinson correlation function is the norm of a commutator between local operators acting on separate subsystems at different times. This provides a useful state-independent measure for characterizing the specifically quantum interaction betw
Externí odkaz:
http://arxiv.org/abs/2402.11080
Emotion classification is a challenging task in NLP due to the inherent idiosyncratic and subjective nature of linguistic expression, especially with code-mixed data. Pre-trained language models (PLMs) have achieved high performance for many tasks an
Externí odkaz:
http://arxiv.org/abs/2402.03137
Textual data is often represented as real-numbered embeddings in NLP, particularly with the popularity of large language models (LLMs) and Embeddings as a Service (EaaS). However, storing sensitive information as embeddings can be susceptible to secu
Externí odkaz:
http://arxiv.org/abs/2401.12192