We present a simplified, automatable single-column radiochemical separation method using the extraction chromatographic branched-DGA resin for the production of no-carrier-added Y with a radiochemical yield higher than 95%, an apparent molar activity of 1.4 ± 0.4 Ci/μmol (DOTA) and 2.3 ± 0.7 Ci/μmol (DTPA), and a run-to-run recycling efficiency of the isotopically-enriched target of 98 ± 1%. These results enable the preparation of Y radiopharmaceuticals for Y/Y-based cancer theranostic applications.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.apradiso.2018.09.016 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Dairy Victory Platform: A novel benchmarking platform to empower economic decisions on dairy farms.
JDS Commun
January 2025
Animal and Dairy Sciences Department, University of Wisconsin-Madison, Madison, WI 53706.
In the face of diminishing economic margins, dairy farmers globally are compelled to maintain economic competitiveness. Benchmarking emerges as a strategic tool to establish new, achievable improvement objectives that balance ambition with practicality. This typically requires integrating diverse data sources, such as feed, milk production, diet, and market prices.
View Article and Find Full Text PDFAutomatic classification of temporomandibular joint disorders by magnetic resonance imaging and convolutional neural networks.
J Dent Sci
January 2025
Institute of Statistics, National Yang Ming Chiao Tung University, Hsinchu City, Taiwan.
Background/purpose: In this study, we utilized magnetic resonance imaging data of the temporomandibular joint, collected from the Division of Oral and Maxillofacial Surgery at Taipei Veterans General Hospital. Our research focuses on the classification and severity analysis of temporomandibular joint disease using convolutional neural networks.
Materials And Methods: In gray-scale image series, the most critical features often lie within the articular disc cartilage, situated at the junction of the temporal bone and the condyles.
The Effect of Plaque Detectors on the Color Stability of Two Types of Restorative Materials.
J Esthet Restor Dent
January 2025
Department of Biomedical and Neuromotor Science (DIBINEM), Alma Mater Studiorum, University of Bologna, Bologna, Italy.
Objective: To investigate the color stability of a one-shade resin-based composite material (RC) and a glass-ionomer cement (GIC) after staining with plaque detectors (PDs) with different formulations and delivery forms.
Materials And Methods: Rectangular-shaped specimens (7 × 3 × 2 mm) were produced with RC (Venus Diamond One, Kulzer) and GIC (Fujy IX GP, GC) (n = 30). Further, the following PDs were used on the specimens: (1) tablets (T; Plaq-Search, TePe); (2) mouthwash (M; Plaque Agent, Miradent); and (3) light-curing liquid (L; Plaque test, Ivoclar).
Automated Volumetric Milling Area Planning for Acoustic Neuroma Surgery via Evolutionary Multi-Objective Optimization.
Sensors (Basel)
January 2025
School of Biomedical Engineering, Tsinghua University, Shuang Qing Road, Beijing 100084, China.
Mastoidectomy is critical in acoustic neuroma surgery, where precise planning of the bone milling area is essential for surgical navigation. The complexity of representing the irregular volumetric area and the presence of high-risk structures (e.g.
View Article and Find Full Text PDFTARREAN: A Novel Transformer with a Gate Recurrent Unit for Stylized Music Generation.
Sensors (Basel)
January 2025
School of Computer Science, Shaanxi Normal University, Xi'an 710062, China.
Music generation by AI algorithms like Transformer is currently a research hotspot. Existing methods often suffer from issues related to coherence and high computational costs. To address these problems, we propose a novel Transformer-based model that incorporates a gate recurrent unit with root mean square norm restriction (TARREAN).
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!