Results 51 to 60 of about 775,918 (292)

The Cost of Address Translation

open access: yes, 2012
Modern computers are not random access machines (RAMs). They have a memory hierarchy, multiple cores, and virtual memory. In this paper, we address the computational cost of address translation in virtual memory.
Jurkiewicz, Tomasz, Mehlhorn, Kurt
core   +1 more source

Establishment of a humanized patient‐derived xenograft mouse model of high‐grade serous ovarian cancer for preclinical evaluation of combination immunotherapy

open access: yesMolecular Oncology, EarlyView.
We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric   +10 more
wiley   +1 more source

Neural Machine Translation with Contrastive Translation Memories

open access: yesProceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Différents des travaux antérieurs qui utilisent des mémoires de traduction (TM) similaires mais redondantes, nous proposons un nouveau NMT à récupération augmentée pour modéliser des mémoires de traduction récupérées de manière contrastée qui sont globalement similaires à la phrase source tout en étant individuellement contrastives les unes par rapport
Xiuzhen Cheng   +4 more
openaire   +2 more sources

Cache-Oblivious VAT-Algorithms [PDF]

open access: yes, 2014
The VAT-model (virtual address translation model) extends the EM-model (external memory model) and takes the cost of address translation in virtual memories into account. In this model, the cost of a single memory access may be logarithmic in the largest
Jurkiewicz, Tomasz   +2 more
core  

Translating Phrases in Neural Machine Translation

open access: yes, 2017
Phrases play an important role in natural language understanding and machine translation (Sag et al., 2002; Villavicencio et al., 2005). However, it is difficult to integrate them into current neural machine translation (NMT) which reads and generates ...
Tu, Zhaopeng   +3 more
core   +1 more source

Digital twins to accelerate target identification and drug development for immune‐mediated disorders

open access: yesFEBS Open Bio, EarlyView.
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley   +1 more source

Rapid, experience-dependent translation of neurogranin enables memory encoding [PDF]

open access: yes, 2018
Experience induces de novo protein synthesis in the brain and protein synthesis is required for long-term memory. It is important to define the critical temporal window of protein synthesis and identify newly synthesized proteins required for memory ...
Dziembowska, Magdalena   +12 more
core   +1 more source

Natural Products as Geroprotective Modulators in Diabetic Nephropathy: A Mechanistic Framework Integrating Aging Hallmarks and the AMPK–SIRT1–Nrf2 Axis

open access: yesAging and Cancer, EarlyView.
Natural products target the aging kidney in diabetic nephropathy by restoring the AMPK–SIRT1–Nrf2 axis, reducing oxidative stress, inflammation, fibrosis, and cellular senescence while enhancing mitochondrial biogenesis and antioxidant defenses.
Sherif Hamidu   +8 more
wiley   +1 more source

Maurice Halbwachs and Social Memory Studies in Poland and Bohemia: on Two Translations and their Contexts

open access: yesHistoricka Sociologie, 2017
In the fall of 2010 Prague Sociologické nakladatelství (SLON) published the Czech translation of Maurice Halbwachs’s book La mémoire collective [2010]. The French sociologist is considered the founder of social memory studies, popular research field of ...
Jarosław Kilias
doaj   +1 more source

Memory-enhanced Decoder for Neural Machine Translation

open access: yes, 2016
We propose to enhance the RNN decoder in a neural machine translator (NMT) with external memory, as a natural but powerful extension to the state in the decoding RNN. This memory-enhanced RNN decoder is called \textsc{MemDec}.
Li, Hang   +3 more
core   +1 more source

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