Results 41 to 50 of about 18,168 (283)
This study reveals how the mitochondrial protein Slm35 is regulated in Saccharomyces cerevisiae. The authors identify stress‐responsive DNA elements and two upstream open reading frames (uORFs) in the 5′ untranslated region of SLM35. One uORF restricts translation, and its mutation increases Slm35 protein levels and mitophagy.
Hernán Romo‐Casanueva +5 more
wiley +1 more source
ADAPTING HYBRID MACHINE TRANSLATION TECHNIQUES FOR CROSS-LANGUAGE TEXT RETRIEVAL SYSTEM [PDF]
This research work aims in developing Tamil to English Cross - language text retrieval system using hybrid machine translation approach. The hybrid machine translation system is a combination of rule based and statistical based approaches. In an existing
P. ISWARYA, V. RADHA
doaj
LOST IN MACHINE TRANSLATION: CONTEXTUAL LINGUISTIC UNCERTAINTY
The article considers the issues related to the semantic, grammatical, stylistic and technical difficulties currently present in machine translation and compares its four main approaches: Rule-based (RBMT), Corpora-based (CBMT), Neural (NMT), and ...
Anton V. Sukhoverkhov +4 more
doaj +1 more source
Brain-Computer Interface-Based Humanoid Control: A Review
A Brain-Computer Interface (BCI) acts as a communication mechanism using brain signals to control external devices. The generation of such signals is sometimes independent of the nervous system, such as in Passive BCI.
Vinay Chamola +3 more
doaj +1 more source
Structural biology of ferritin nanocages
Ferritin is a conserved iron‐storage protein that sequesters iron as a ferric mineral core within a nanocage, protecting cells from oxidative damage and maintaining iron homeostasis. This review discusses ferritin biology, structure, and function, and highlights recent cryo‐EM studies revealing mechanisms of ferritinophagy, cellular iron uptake, and ...
Eloise Mastrangelo, Flavio Di Pisa
wiley +1 more source
A MOOC on Approaches to Machine Translation
This paper describes the design, development and analysis of a MOOC entitled “Approaches to Machine Translation: rule-based, statistical and hybrid” providing lessons learnt on conclusions to be take into account in the future.
Marta Ruiz Costa-jussà +4 more
doaj +1 more source
O ensaio fornece uma avaliação crítica do desempenho de dois sistemas distintos de tradução automática, Systran e Google Translate. Primeiro, é fornecida uma breve visão geral dos sistemas de tradução automática baseados em regras e estatísticas, seguida de uma discussão sobre os problemas envolvidos na avaliação automática e humana das outputs de ...
openaire +5 more sources
We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley +1 more source
Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley +1 more source
Using artificial intelligence tools for translating computer terminology
The emergence of artificial intelligence (AI) technologies has significantly transformed the field of translation, streamlining processes through automation and enhancing both efficiency and accuracy.
Maryna Tymchyk, Natalia Drabov
doaj +1 more source

