The University of Manchester (account for UKRI-funded authors)
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University of Manchester authors whose work acknowledges funding from one of the UK Research Councils (AHRC, BBSRC, EPSRC, ESRC, MRC, NERC, STFC) may be eligible for funding to cover Article Processing Charges (APCs) when publishing with BioMed Central. Please contact the University Library’s Open Access service at Uml.openaccess@manchester.ac.uk to discuss your paper and funding options. If funding is available, the Library will provide you with a submission code to use when submitting your paper to BioMed Central. This will ensure payment is made from the University’s UKRI account if your paper is accepted for publication.
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The University of Manchester (account for UKRI-funded authors)'s Articles
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Citation: Environmental Sciences Europe 2024 36:112
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Effects of variations in po river discharge on physical water characteristics and chlorophyll-a levels in the gulf of manfredonia
Citation: Geoscience Letters 2024 11:24 -
Impact of contextual factors on new product development process: evidence from a large company in Thailand
Citation: Journal of Innovation and Entrepreneurship 2024 13:30 -
Managing sepsis and septic shock in an endothelial glycocalyx-friendly way: from the viewpoint of surviving sepsis campaign guidelines
Citation: Annals of Intensive Care 2024 14:64 -
The impact of face coverings on audio-visual contributions to communication with conversational speech
Citation: Cognitive Research: Principles and Implications 2024 9:25 -
Application of artificial intelligence to eyewitness identification
Citation: Cognitive Research: Principles and Implications 2024 9:19 -
Assessing microbially mediated vivianite as a novel phosphorus and iron fertilizer
Citation: Chemical and Biological Technologies in Agriculture 2024 11:47 -
Errors in visual search: Are they stochastic or deterministic?
Citation: Cognitive Research: Principles and Implications 2024 9:15 -
Deep transfer learning for visual analysis and attribution of paintings by Raphael
Citation: Heritage Science 2023 11:268 -
Optimisation of the air fraction correction for lung PET/CT: addressing resolution mismatch
Citation: EJNMMI Physics 2023 10:77 -
The use of class imbalanced learning methods on ULSAM data to predict the case–control status in genome-wide association studies
Citation: Journal of Big Data 2023 10:174 -
Quantitative validation of Monte Carlo SPECT simulation: application to a Mediso AnyScan GATE simulation
Citation: EJNMMI Physics 2023 10:60 -
Factorial validity and comparability of the six translations of the Rivermead Post-Concussion Symptoms Questionnaire translations: results from the CENTER-TBI study
Citation: Journal of Patient-Reported Outcomes 2023 7:90 -
Is triple antithrombotic therapy a safe option in patients with AF who receive drug-eluting stents?: a review article
Citation: The Egyptian Heart Journal 2023 75:74 -
Artificial intelligence learning landscape of triple-negative breast cancer uncovers new opportunities for enhancing outcomes and immunotherapy responses
Citation: Journal of Big Data 2023 10:132 -
Going beyond the ‘typical’ student? Voicing diversity of experience through biographical encounters with migrant students in Portugal
Citation: Comparative Migration Studies 2023 11:26 -
Teaching computing for complex problems in civil engineering and geosciences using big data and machine learning: synergizing four different computing paradigms and four different management domains
Citation: Journal of Big Data 2023 10:89 -
Correction: Face coverings: considering the implications for face perception and speech communication
Citation: Cognitive Research: Principles and Implications 2023 8:36 -
Research in computing-intensive simulations for nature-oriented civil-engineering and related scientific fields, using machine learning and big data: an overview of open problems
Citation: Journal of Big Data 2023 10:73 -
Status report of the n_TOF facility after the 2nd CERN long shutdown period
Citation: EPJ Techniques and Instrumentation 2023 10:13