Results 51 to 60 of about 495,712 (260)
A Survey on Accelerated Technologies for Mixture-of-Experts Model Training Systems
Mixture-of-Experts (MoE) models have emerged as a transformative paradigm for scaling Large Language Models (LLMs), enabling unprecedented model capacity while maintaining computational efficiency through sparse activation mechanisms. However, the unique
Qi Zhang, Jidong Zhai, Weimin Zheng
doaj +1 more source
Accurate and noninvasive prostate cancer detection using plasma‐derived extracellular vesicle RNA
Plasma extracellular vesicles were captured with WGA‐conjugated magnetic beads and profiled for RNA biomarkers. A three‐RNA panel (NM_024955, NR_047469, and NR_002564) distinguished prostate cancer from healthy controls and benign prostatic hyperplasia, supporting a simple, noninvasive approach to improve prostate cancer detection.
Hanping Wei, Haoran Wu, Wei Feng
wiley +1 more source
We report the first β‐glucosidase with demonstrated hydrolytic activity on an N‐linked glycopyranoside. The enzyme, native to maize, was biochemically characterised for this novel reaction, and structural modelling of the enzyme–substrate complex revealed several clues to the underlying reduced catalytic rate relative to its native O‐glycopyranoside ...
Hani Gharabli +3 more
wiley +1 more source
Efficient Training of Large-Scale Neural Networks Using Linear Pipeline Broadcast
Recently, the adoption of deep learning models in several domains and for various tasks has increased, correspondingly amplifying the number of model layers and parameters needed to achieve the required performance.
Chanhee Yu, Kyongseok Park
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Glioblastoma cells express calcitonin receptor variants (CT receptor isoforms) that may help them survive stress. Using qPCR, transcript‐specific long‐read nanopore sequencing, immunofluorescence co‐localisation and comparative sequence analysis, this study identifies a novel alternatively spliced CALCR transcript that encodes the CTb receptor isoform ...
Pragya Gupta +7 more
wiley +1 more source
Mechanisms to build research capacity in the rural health workplace: a realist synthesis
IntroductionWorkplace-based research training contributes to research capability and capacity in rural areas where access to university expertise is limited.
David Schmidt, Emma Webster, David Lyle
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Comparative assessment of crystallographic and cryo‐EM models in the Protein Data Bank
Raw data obtained by X‐ray crystallography or cryo‐EM result in experimental maps, ultimately fitted by atomic models. Although the physical principles are different, the final results can be viewed, compared, and evaluated in the same way. With cryogenic electron microscopy (cryo‐EM) on track to surpass X‐ray crystallography as the preferred method ...
Alexander Wlodawer +7 more
wiley +1 more source
Personalized Privacy-Preserving Data Utilization Approach Powered by Distributed-GAN
Recently, Machine Learning (ML) has made great achievements in a wide range of fields with the increasing data exploring. However, the development of ML faces the challenges of data silos due to privacy considerations.
Shuo Wang +4 more
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A minimal cellulosome‐like system in Cellulosilyticum lentocellum
Cellulose‐degrading bacteria typically use cellulosomes, large multi‐enzyme complexes on a scaffold protein. In Cellulosilyticum lentocellum, we characterise a far smaller arrangement, a single scaffold bound to one cellulase through a single cohesin‐dockerin interaction.
John Allan +2 more
wiley +1 more source
IntroductionAddressing the shortage of primary-care physicians, especially in remote and rural areas, is a crucial target in many countries. This article introduces the Scottish Graduate Entry Medicine (ScotGEM) programme: a compressed, tailor-made ...
Fiona Graham +11 more
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