Results 51 to 60 of about 70,068 (263)
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
A Deep Learning-Based Intelligent Quality Detection Model for Machine Translation
With more and more active international connections, the complex scenes-aware machine translation has been a novel concern in the area of natural language processing.
Meijuan Chen
doaj +1 more source
Empirical machine translation and its evaluation
Aquesta tesi estudia l'aplicació de les tecnologies del Processament del Llenguatge Natural disponibles actualment al problema de la Traducció Automàtica basada en Mètodes Empírics i la seva Avaluació.<br/><br/>D'una banda, tractem el problema de l'avaluació automàtica.
openaire +6 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
Machine Translation (MT) evaluation is a hard task considering the difficulties that raise from the translation process itself. In this paper we present the results of the evaluation of a Statistical Machine Translation (SMT) system in which the Moses ...
Polyxeni Kanelliadou +1 more
doaj +1 more source
A machine learning approach to the automatic evaluation of machine translation [PDF]
We present a machine learning approach to evaluating the well-formedness of output of a machine translation system, using classifiers that learn to distinguish human reference translations from machine translations. This approach can be used to evaluate an MT system, tracking improvements over time; to aid in the kind of failure analysis that can help ...
Simon Corston-Oliver +2 more
openaire +1 more source
Inositol pyrophosphates are energy‐rich signaling molecules that perform critical functions in cells. Three different families of phosphatases hydrolyze the β phosphate of the inositol pyrophosphate molecules: two have narrow specificities and one is promiscuous.
Ronda J. Rolfes
wiley +1 more source
Machine Translation Evaluation between Arabic and English during 2020 to 2024: A Review Study
The field of machine translation is one of the new fields of study that attracts the interest of many researchers. The evaluation of machine translation is central to the field and so many research has been conducted on this.
Aziz Mohammed Abdo Saeed
doaj +1 more source
Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source

