The following publications have been captured over the last month and University of Leicester publications linked to either the Newton Fund or Global Challenges Research Fund. Both funds are supported as Official Development Assistance (ODA) by the UK Government.
(Data are updated on the first day of each month)
The following information was updated on 1 March 2022 by the DevPubMetric system using data captured by the Scopus database.
There are 13 publications included in this list.
Berenguer E., Lennox G., Ferreira J., Malhi Y., Aragão L., Barreto J.R., Del Bon Espírito-Santo F., Figueiredo A.E.S., França F., Gardner T., et al. (2021), Tracking the impacts of El Niño drought and fire in human-modified Amazonian forests, Proceedings of the National Academy of Sciences of the United States of America 118: https://doi.org/10.1073/pnas.2019377118 |
Berenguer E., Lennox G., Ferreira J., Malhi Y., Aragão L., Barreto J.R., Del Bon Espírito-Santo F., Figueiredo A.E.S., França F., Gardner T., et al. (2021), Tracking the impacts of El Niño drought and fire in human-modified Amazonian forests, Proceedings of the National Academy of Sciences of the United States of America 118: https://doi.org/10.1073/pnas.2019377118 |
Bickton F.M., Mankhokwe T., Nightingale R., Fombe C., Mitengo M., Mwahimba L., Lipita W., Wilde L., Pina I., Yusuf Z.K., et al. (2022), Protocol for a single-centre mixed-method pre-post single-arm feasibility trial of a culturally appropriate 6-week pulmonary rehabilitation programme among adults with functionally limiting chronic respiratory diseases in Malawi, BMJ Open 12: https://doi.org/10.1136/bmjopen-2021-057538 |
Danielli M., Gillies C., Thomas R., Melford S.E., Baker P., Yates T., Khunti K., Tan B.K. (2022), Effects of Supervised Exercise on the Development of Hypertensive Disorders of Pregnancy: A Systematic Review and Meta‐Analysis, Journal of Clinical Medicine 11: https://doi.org/10.3390/jcm11030793 |
Hanley S., Pellny T., De Vega J., Castiblanco V., Arango J., Eastmond P.J., Heslop-Harrison J.S., Mitchell R. (2021), Allele mining in diverse accessions of tropical grasses to improve forage quality and reduce environmental impact, Annals of Botany 128: 627-637 https://doi.org/10.1093/aob/mcab101 |
Hanley S., Pellny T., De Vega J., Castiblanco V., Arango J., Eastmond P.J., Heslop-Harrison J.S., Mitchell R. (2021), Allele mining in diverse accessions of tropical grasses to improve forage quality and reduce environmental impact, Annals of Botany 128: 627-637 https://doi.org/10.1093/aob/mcab101 |
Pacheco-Pascagaza A.M., Gou Y., Louis V., Roberts J., Rodríguez-Veiga P., da Conceição Bispo P., Espírito-Santo F., Robb C., Upton C., Galindo G., et al. (2022), Near Real-Time Change Detection System Using Sentinel-2 and Machine Learning: A Test for Mexican and Colombian Forests, Remote Sensing 14: https://doi.org/10.3390/rs14030707 |
Wang S.H., Zhou J., Zhang Y. (2022), Community-Acquired Pneumonia Recognition by Wavelet Entropy and Cat Swarm Optimization, Mobile Networks and Applications : https://doi.org/10.1007/s11036-021-01897-0 |
Wang W., Zhang Y. (2021), A short survey on deep learning for skeleton-based action recognition In: ACM International Conference Proceeding Series, pgs: (Conference Proceeding) https://doi.org/10.1145/3492323.3495571 |
Wright C., Kapwata T., Abdelatif N., Batini C., Wernecke B., Kunene Z., Millar D., Mathee A., Street R., Panchal R., et al. (2022), Household Air Pollution and Respiratory Symptoms a Month Before and During the Stringent COVID-19 Lockdown Levels 5 and 4 in South Africa, Annals of Global Health 88: https://doi.org/10.5334/aogh.3465 |
Zhang Y., Wang W., Zhang X., Wang S.H. (2022), Secondary Pulmonary Tuberculosis Recognition by 4-Direction Varying-Distance GLCM and Fuzzy SVM, Mobile Networks and Applications : https://doi.org/10.1007/s11036-021-01901-7 |
Zhang Y., Jiang X., Wang S.H. (2022), Fingerspelling Recognition by 12-Layer CNN with Stochastic Pooling, Mobile Networks and Applications : https://doi.org/10.1007/s11036-021-01900-8 |
Zhou Q., Zhu H., Zhang X., Zhang Y. (2021), Knowledge distillation for secondary pulmonary tuberculosis classification ensemble In: ACM International Conference Proceeding Series, pgs: (Conference Proceeding) https://doi.org/10.1145/3492323.3495570 |
Data were captured and processed by the DevPubMetric system. The list of publications was generated from data reported by projects directly to UKRI through ResearchFish
Publication data were captured from the UKRI Gateway to Research system.
Open Government Licence
Additional records were generated using the Scopus database through structured searches for new documents by programme name and project reference.All records were then processed to collate full bibliographic data downloaded from Scopus.
This list of publications only contains documents that can be matched against source publications that are included in the Scopus database and the identification process requires researchers to have either reported the outcome to ResearchFish or to have included the programme name or project reference number in a publication's acknowledgement.
It is recognised that a small number of publications reported by researchers in this way and then captured by the DevPubMetric process may have limited levels of direct attribution to the programme.
This list of publications is generated through an automated process. It is possible that a few publications may be included which should not be attributed to this list and that some others may have been missed. Please send requests for corrections to admin@pvgglobal.uk