Results 61 to 70 of about 55,432,686 (234)

Predicting Enzyme Turnover Numbers and Enabling Rational Enzyme Evolution

open access: yesAdvanced Science, EarlyView.
MCKcat, a deep learning framework combining multi‐scale convolution and cross‐attention, accurately predicts enzyme turnover number (kcat) by fusing sequence and reaction representations. It couples with rational design in a two‐step strategy for Bacillus aryabhattai laccase engineering, achieving a 75% positive rate with synergistically enhanced ...
Fengya Ge   +6 more
wiley   +1 more source

What influences recruitment to randomised controlled trials? A review of trials funded by two UK funding agencies. [PDF]

open access: yes, 2006
National Coordinating Centre for Research Methodology; Medical Research Council, UK Department of Health; Chief Scientist OfficeNot peer reviewedPublisher ...
McDonald, AM   +70 more
core   +4 more sources

Internet and telephone intervention to support patients discontinuing long-term antidepressants in primary care: the REDUCE research programme including RCT

open access: yesProgramme Grants for Applied Research
Background There is significant concern about increasing long-term antidepressant use in Western countries, much of which is not evidence-based. Median duration of treatment is more than 2 years in the United Kingdom, and more than 10% of adults are ...
Tony Kendrick   +37 more
doaj   +1 more source

Multimodal Imaging of Hypoxia, Metabolism and pH in Feline Sarcoma Using Hyperpolarized 13C MRI and PET

open access: yesAdvanced Science, EarlyView.
This work presents a clinically deployable simultaneous PET/MRI workflow which integrates hyperpolarized 13C imaging of metabolism and extracellular pH with [18F]FMISO PET to characterize hypoxia, acidosis, and metabolic reprogramming in feline sarcoma.
Martin Grashei   +17 more
wiley   +1 more source

Research Report 2008–2009 [PDF]

open access: yes, 2010
The NHMRC Clinical Trials Centre at the University of Sydney runs large multicentre investigator-initiated clinical trials, takes part in trials of national and international collaborative trial groups and contributes expertise to trials run by others ...
NHMRC Clinical Trials Centre
core  

Low-dose titrated amitriptyline as second-line treatment for adults with irritable bowel syndrome in primary care: the ATLANTIS RCT

open access: yesHealth Technology Assessment
Background Irritable bowel syndrome, characterised by abdominal pain and a change in stool form or frequency, is most often managed in primary care. When first-line therapies are ineffective, National Institute for Health and Care Excellence guidelines ...
Alexandra Wright-Hughes   +21 more
doaj   +1 more source

Determinants of Knowledge and Usage of Generative Artificial Intelligence in Agricultural Extension: Evidence From Tennessee Extension Personnel

open access: yesAgribusiness, EarlyView.
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani   +3 more
wiley   +1 more source

Research Report 2004–2005 [PDF]

open access: yes, 2006
The National Health and Medical Research Council Clinical Trials Centre has the purpose of improving outcomes in health through clinical trials research.
NHMRC Clinical Trials Centre
core  

Impact of Social Stories on social and emotional health of autism spectrum primary school children: the ASSSIST2 RCT with economic evaluation

open access: yesHealth Technology Assessment
Background Differences in the way autistic children experience the world can contribute to anxiety and stress. Carol Gray’s Social Stories™ are a highly personalised intervention to support children by providing social information about specific ...
Barry Wright   +23 more
doaj   +1 more source

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

open access: yesAdvanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser   +6 more
wiley   +1 more source

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