Results 121 to 130 of about 53,972 (305)

Functional Blood‐Brain Barrier Crossing by Biomimetic M13 Phage Vectors for Targeted Neuronal Delivery

Advanced Healthcare Materials, EarlyView.
This study investigates the M13 bacteriophage as a biomimetic nanovector capable of crossing in vitro models of the blood–brain barrier. By exploiting peculiar transcellular pathways, M13 avoids lysosomal degradation and preserves its structural integrity and functionality.
Silvia Vercellino, Lucia Pappagallo, Francesca De Chirico, Luca Boselli, Hazem Ahmed, Luca Spagnoletti, Giovanni Pittaluga, Paolo Emidio Costantini, Matteo Calvaresi, Pier Paolo Pompa, Alberto Danielli, Fabio Benfenati, Valentina Castagnola   +12 more
wiley   +1 more source

Amharic-arabic Neural Machine Translation

5th International Conference on Data Mining and Applications (DMAP 2019), 2019
Many automatic translation works have been addressed between major European language pairs, by taking advantage of large scale parallel corpora, but very few research works are conducted on the Amharic-Arabic language pair due to its parallel data scarcity.
Ibrahim Gashaw, H. L. Shashirekha
openaire   +2 more sources

Extending hybrid word-character neural machine translation with multi-task learning of morphological analysis

, 2017
VK: COINThis article describes the Aalto University entry to the English-to-Finnish news translation shared task in WMT 2017. Our system is an open vocabulary neural machine translation (NMT) system, adapted to the needs of a morphologically complex ...
Virpioja, Sami, Stig-Arne Grönroos, Grönroos, Stig-Arne, Mikko Kurimo, Kurimo, Mikko, Sami Virpioja   +5 more
core   +1 more source

Immunoinflammatory Mechanisms and Biocompatibility of Bioactive Dental Biomaterials: From Fundamental Insights to Clinical Translation

Advanced Healthcare Materials, EarlyView.
Surface‐host dialogue at the implant interface governs biological fate and osseointegration. Surface physicochemical properties of titanium (Ti) dental implants, including microgrooves, nanopatterns, nanotopography, roughness, and wettability, modulate the initial adsorption of proteins and the formation of a dynamic biointerface.
Daniela Moreira Cunha, Amanda Paino Santana, Marta Maria Alves Pereira, Mariana Martins Guerreiro, Jose Mauro Granjeiro, Jamil Awad Shibli, Jeroen J. J. P. van den Beucken, Anton Sculean, Rafael Scaf de Molon, Erica Dorigatti de Avila   +9 more
wiley   +1 more source

Natural Biomaterials for Osteochondral Repair: From Source to Strategy

Advanced Healthcare Materials, EarlyView.
Biological origin‐guided overview of natural biomaterials and therapeutic strategies for osteochondral tissue engineering. The circular diagram categorizes representative materials and strategies into plant/algae‐derived, microbial‐derived, animal‐derived, and human‐derived sources, centered on an osteochondral defect repair model.
Hengyu Liu, Hanyang Zhang, Wenbo Yang, Hao Chen, Jincheng Wang, Fei Chang   +5 more
wiley   +1 more source

Chinese-English machine translation model based on transfer learning and self-attention

Journal of Applied Science and Engineering
With the continuous development of machine learning and neural networks, neural machine translation (NMT) has been widely used due to its strong translation ability.
Shu Ma
doaj   +1 more source

Neural Machine Translation for Indian Languages

Journal of Intelligent Systems, 2019
Machine Translation bridges communication barriers and eases interaction among people having different linguistic backgrounds. Machine Translation mechanisms exploit a range of techniques and linguistic resources for translation prediction.
Pathak Amarnath, Pakray Partha
doaj   +1 more source

Beyond multi-class – structured learning for machine translation

, 2010
In this thesis, we explore and present machine learning (ML) approaches to a particularly challenging research area – machine translation (MT). The study aims at replacing or developing each component in the MT system with an appropriate discriminative ...
Ni, Y, Ni, Yizhao
core  

Evaluation of Terminology Translation in Instance-Based Neural MT Adaptation [PDF]

, 2018
We address the issues arising when a neural machine translation engine trained on generic data receives requests from a new domain that contains many specific technical terms.
Negri, Matteo, Marco Turchi, Farajian, M. Amin, Matteo Negri, Federico, Marcello, Nicola Bertoldi, Marcello Federico, Bertoldi, Nicola, M. Farajian, Turchi, Marco   +9 more
core  

Machine Translation and Neural Networks for a multilingual EU [PDF]

, 2018
This paper presents an overview of the current developments and use of Machine Translation (MT) and Neural Machine Translation (NMT), specifically eTranslation, in the European Institutions.
Chartier-Brun, Pascale, Mahler, Katharina   +1 more
core   +1 more source