Results 41 to 50 of about 33,652 (268)
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
Machine Translation Indonesian Bengkulu Malay Using Neural Machine Translation-LSTM
The machine translator is an application in Natural Language Processing (NLP) that focuses on translating between languages. Several previous research have used Statistical Machine Translation (SMT) with a parallel corpus of Indonesian and Bengkulu Malay
Bella Okta Sari Miranda +2 more
doaj +1 more source
Machine translation for monolinguals [PDF]
We describe sister machine translation prototypes, Ntran, an English to Japanese system developed at UMIST, and Aidtrans, Japanese to English, at Sheffield, both designed for use by an English monolingual. Aidtrans uses extensive and sophisticated collocational analysis radically to reduce the need for conventional post-editing.
Mary McGee Wood, Brian J. Chandler
openaire +2 more sources
The human gut microbiome across the life course
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero +4 more
wiley +1 more source
We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace +6 more
wiley +1 more source
Translating science fiction in a CAT tool: machine translation and segmentation settings
There is increasing interest in machine assistance for literary translation, but research on how computer-assisted translation (CAT) tools and machine translation (MT) combine in the translation of literature is still incipient, especially for non ...
Lucas Nunes Vieira +4 more
doaj +1 more source
Sublanguages in machine translation [PDF]
There have been various attempts at using the sublanguage notion for disambiguation and the selection of target langauge equivalents in machine translation. In this paper a theoretical concept and its implementation in a real MT application are presented. Above this, means of linguistic engineering like weighting mechanisms are proposed.
openaire +2 more sources
Grammatical machine translation [PDF]
We present an approach to statistical machine translation that combines ideas from phrase-based SMT and traditional grammar-based MT. Our system incorporates the concept of multi-word translation units into transfer of dependency structure snippets, and models and trains statistical components according to state-of-the-art SMT systems.
Stefan Riezler, John T. Maxwell III
openaire +2 more sources
Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley +1 more source
Cross-Linguistic Near-Synonym in the Context of Machine Translation
The present study seeks to address the emotional lexical units in the context of Turkish synonyms that fall under the categories of terms for pain, joy, and excitement, in addition to examining potential English equivalents based on two machine ...
Emrah Eriş, Yılmaz Akdemir
doaj +1 more source

