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http://dx.doi.org/10.1002/anie.200351810 | DOI Listing |
Med Vet Entomol
January 2025
Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada.
Dermacentor variabilis (Say) (Acari: Ixodidae) is a vector for pathogens that can impact human and animal health. The geographic range of this species is expanding, but there are some areas with limited up-to-date information on the distribution of D. variabilis.
View Article and Find Full Text PDFBMC Cancer
January 2025
Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA.
Background: Butaro Cancer Center of Excellence (BCCOE) was founded to serve Rwanda's rural low-income population, providing subsidized cancer diagnosis and treatment with transport stipends for the lowest-income patients. We examined whether travel distance to BCCOE was associated with advanced-stage diagnoses and treatment completion.
Methods: We conducted a retrospective cohort study using medical record data from BCCOE patients with pathologically-confirmed breast cancer from 2012-2016.
Sci Rep
January 2025
Department of Pathology, Microbiology, and Immunology, School of Veterinary Medicine, University of California, Davis, CA, 95616, USA.
This study utilizes an integrated Geographic Information System (GIS)-based Multi-Criteria Decision-Making (MCDM) approach to perform Solar Power Plant Site Selection (SPPSS) in Kermanshah Province, Iran. It introduces a novel group weighting method, the Dempster-based Best-Worst Method (DBWM), which combines weights vectors derived from experts' opinions. The study also conducts a comprehensive sensitivity analysis comparing four GIS-based models for SPPSS.
View Article and Find Full Text PDFNat Commun
January 2025
Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA.
An essential task in spatial transcriptomics is identifying spatially variable genes (SVGs). Here, we present Celina, a statistical method for systematically detecting cell type-specific SVGs (ct-SVGs)-a subset of SVGs exhibiting distinct spatial expression patterns within specific cell types. Celina utilizes a spatially varying coefficient model to accurately capture each gene's spatial expression pattern in relation to the distribution of cell types across tissue locations, ensuring effective type I error control and high power.
View Article and Find Full Text PDFMed Dosim
January 2025
Department of Radiation Oncology, Duke University Medical Center, Durham, NC 27710, USA.
Most of conventional 2-dimensional (2D) methods verify dose of multiple targets separately one-by-one for Single-isocenter Multiple-target (SIMT) brain plans, which are inefficient and sub-optimal. This study presented a practical method to verify the dose of 2 targets simultaneously for improved efficiency and accuracy. Fifteen Stereotactic Radiation Therapy (SRT) and sixteen Stereotactic Radiosurgery (SRS) plans were used for this study.
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