Results 71 to 80 of about 349,833 (278)
Automatic acquisition of Named Entities for Rule-Based Machine Translation [PDF]
, 2010 Este artículo propone enriquecer los diccionarios de traducción automática basada en reglas con nombres de entidades adquiridos automáticamente de Wikipedia. El método se aplica al sistema inglés-español de Apertium y su comportamiento se compara con el de Apertium con o sin nombres de entidades etiquetadas a mano.
Toral, Antonio, Way, Andy
openaire +1 more source
Liver‐specific lncRNAs associated with liver cancers
FEBS Open Bio, EarlyView.Long non‐coding RNAs (lncRNAs) are regulatory molecules with various functions. They are more tissue‐specific than proteins and can be used as potential biomarkers, particularly in cancer diagnostics and prognosis. In this review, we have systematically compiled all lncRNAs with exclusive expression in the human liver, verified their liver specificity ...
Olga Y. Burenina +3 more
wiley +1 more source
FEBS Open Bio, EarlyView.TTT and R2TP chaperone complexes are required for the assembly and activation of mTORC1. WAC directly interacts with components of TTT, R2TP, and mTORC1, and these interactions are affected by the availability of glucose and glutamine, correlating with changes in mTORC1 activity.
Sofía Cabezudo +11 more
wiley +1 more source
Combined Machine Learning Techniques for Decision Making Support in Medicine [PDF]
, 2016 Computational intelligent support for decision making is becoming increasingly popular and essential among medical professionals. Also, with the modern medical devices being capable to communicate with ICT, created models can easily find practical ...
Stoean, Ruxandra
core
Report on the 2nd MObility for Vesicle research in Europe (MOVE) symposium—2024
FEBS Open Bio, EarlyView.The 2nd MObility for Vesicle research in Europe (MOVE) Symposium in Belgrade brought over 280 attendees from 28 countries to advance extracellular vesicle (EV) research. Featuring keynotes, presentations, and industry sessions, it covered EV biogenesis, biomarkers, therapies, and manufacturing.
Dorival Mendes Rodrigues‐Junior +5 more
wiley +1 more source
International Journal of Adaptive Control and Signal Processing, EarlyView.Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez +2 more
wiley +1 more source
Automated implementation of rule-based expert systems with neural networks for time-critical applications [PDF]
In fault diagnosis, control and real-time monitoring, both timing and accuracy are critical for operators or machines to reach proper solutions or appropriate actions.
Govind, Girish +2 more
core +1 more source
Advanced Biology, EarlyView.The axolotl's remarkable regenerative abilities decline with age, the causes may include the numerous repetitive elements within its genome. This study uncovers how Ty3 retrotransposons and coexpression networks involving muscle and immune pathways respond to aging and regeneration, suggesting that transposons respond to physiological shifts and may ...
Samuel Ruiz‐Pérez +8 more
wiley +1 more source
Hybrid Approach to English-Hindi Name Entity Transliteration
, 2014 Machine translation (MT) research in Indian languages is still in its infancy. Not much work has been done in proper transliteration of name entities in this domain. In this paper we address this issue.
Mathur, Shruti, Saxena, Varun Prakash
core +1 more source
Advanced Biology, EarlyView.The glomerular filtration barrier (GFB) is the first step of blood filtration by the kidneys. The concerning increase of kidney diseases makes the development of new models essential. In this context, microphysiological glomerular filtration barriers focus on closely reproducing the physiological architecture of the in vivo GFB: podocytes, glomerular ...
Manon Miran +5 more
wiley +1 more source