Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3313274 | PMC |
| http://dx.doi.org/10.1186/1471-2105-10-S11-S1 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Hotspots and status of Fetal Alpha-Thalassemia from 2009 to 2023: a bibliometric analysis.
Front Pediatr
December 2024
Maternity and Child Health Care of Guangxi Zhuang Autonomous Region, Nanning, China.
Objective: to evaluate the research status and development hotspots of fetal α-thalassemia by quantitatively analyzing the diagnostic status, key areas, related management measures and prospects of the disease by bibliometrics.
Methods: The global literature on fetal α-thalassemia and severe α-thalassemia from 2009-2023 in the Web of Science Core Collection (WOSCC) was visually analyzed by VOSviewer and CiteSpace.
Results: (1) The examination of the quantity of publications concerning fetal α-thalassemia indicates a rising tendency prior to 2018, followed by a decrease after 2018.
A retrospective approach for evaluating ecological niche modeling transferability over time: the case of Mexican endemic rodents.
PeerJ
December 2024
Departamento de Zoología, Instituto de Biología, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Ecological niche modeling (ENM) is a valuable tool for inferring suitable environmental conditions and estimating species' geographic distributions. ENM is widely used to assess the potential effects of climate change on species distributions; however, the choice of modeling algorithm introduces substantial uncertainty, especially since future projections cannot be properly validated. In this study, we evaluated the performance of seven popular modeling algorithms-Bioclim, generalized additive models (GAM), generalized linear models (GLM), boosted regression trees (BRT), Maxent, random forest (RF), and support vector machine (SVM)-in transferring ENM across time, using Mexican endemic rodents as a model system.
View Article and Find Full Text PDFServing Queensland: reflecting on geographical access to the pelvic exenteration service in Queensland.
ANZ J Surg
November 2024
Colorectal Department, Royal Brisbane and Women's Hospital (RBWH), Brisbane, Queensland, Australia.
Article Synopsis
- Pelvic exenteration for rectal cancer is a complex surgical procedure aimed at achieving complete cancer removal, but access to this service is limited in Queensland.
- A study reviewed data from 176 patients referred to the Royal Brisbane and Women's Hospital between 2009 and 2023, revealing that more patients from major cities underwent surgery compared to those from regional areas.
- Findings suggest that many patients in remote areas chose not to proceed with surgery, highlighting the need for better awareness of the pelvic exenteration service to improve patient access and care.
Photoexcitation and One-Electron Reduction Processes of a CO Photoreduction Dyad Catalyst Having a Zinc(II) Porphyrin Photosensitizer.
Inorg Chem
December 2024
Department of Chemistry, Faculty of Science, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan.
We have explored the photophysical properties and one-electron reduction process in the dyad photocatalyst for CO photoreduction, , in which the catalyst of -[Re(1,10-phenanthoroline)(CO)Br] is directly connected with the photosensitizer of zinc(II) porphyrin (), using time-resolved infrared spectroscopy, transient absorption spectroscopy, and quantum chemical calculations. We revealed the following photophysical properties: (1) the intersystem crossing occurs with a time constant of ∼20 ps, which is much faster than that of a single unit, and (2) the charge density in the excited singlet and triplet states is mainly localized on , which means that the excited state is assignable to the π-π* transition in . The one-electron reduction by 1,3-dimethyl-2-phenyl-2,3-dihydro-1-benzo[]imidazole occurs via the triplet excited state with the time constant of ∼100 ns and directly from the ground state with the time constant of ∼3 μs.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!