Decay scheme of 67Ga.

Appl Radiat Isot

National Accelerator Centre, Faure, South Africa.

Published: March 2000

A review of the 67Ga decay data from various evaluations reveals uncertainty as to whether or not there is an electron-capture (EC) branch decaying directly to the ground state of 67Zn. Measurements made at NAC and elsewhere of the intensity of the conversion electrons from the 93 keV transition (extracted from the standardization of 67Ga by coincidence counting techniques), place a fairly stringent restriction on the decay scheme that suggests that the ground-state branch is nonzero. Decay parameter values are proposed that are consistent with available data. Analysis indicates an EC branching ratio to the ground state of (4.01+/-0.27)%.

Download full-text PDF

Source
http://dx.doi.org/10.1016/s0969-8043(99)00209-2DOI Listing

Publication Analysis

Top Keywords

decay scheme
8
ground state
8
decay
4
scheme 67ga
4
67ga review
4
review 67ga
4
67ga decay
4
decay data
4
data evaluations
4
evaluations reveals
4

Similar Publications

Purpose: The main objectives were to study differences between the first and the fourth cycle in dosimetry variables in patients treated for neuroendocrine tumours with four cycles of [Lu]Lu-DOTA-TATE, as well as to look for absorbed dose-effect correlations aiming to help individualise and optimise this therapy for future patients.

Material And Methods: SPECT based dosimetry of tumour lesions and kidneys was performed in the first and the fourth cycles of the [Lu]Lu-DOTA-TATE treatments for 17 patients from 2020 to 2023. Clinical variables of interest were collected in order to look for correlations with some dosimetry variables.

View Article and Find Full Text PDF

Regulation of abscisic acid receptor mRNA stability: involvement of microRNA5628 in PYL6 transcript decay.

Plant Physiol

December 2024

Laboratory of Plant Genetics, Center for Molecular Biology and Genetic Engineering, University of Campinas, 13083-875, Campinas, São Paulo, Brazil.

Phytohormone signaling is fine-tuned by regulatory feedback loops. The phytohormone abscisic acid (ABA) plays key roles in plant development and abiotic stress tolerance. PYRABACTIN RESISTENCE 1/PYR1-LIKE/REGULATORY COMPONENT OF ABA RECEPTOR (PYR/PYL/RCAR) receptors sense ABA, and in turn, ABA represses their expression.

View Article and Find Full Text PDF

Macroscopic features of dynamical systems such as almost-invariant sets and coherent sets provide crucial high-level information on how the dynamics organizes phase space. We introduce a method to identify time-parameterized families of almost-invariant sets in time-dependent dynamical systems, as well as the families' emergence and disappearance. In contrast to coherent sets, which may freely move about in phase space over time, our technique focuses on families of metastable sets that are quasi-stationary in space.

View Article and Find Full Text PDF

In long-span bridges and high-rise buildings, closely spaced modes are commonly observed, which greatly increases the challenge of identifying modal parameters. Hilbert-Huang transform (HHT), a widely used method for modal parameter identification, first applies empirical mode decomposition (EMD) to decompose the acquired response and then uses the Hilbert transform (HT) to identify the modal parameters. However, the problem is that the deficiency of mode separation of EMD in HHT limits its application for structures with closely spaced modes.

View Article and Find Full Text PDF

The emerging field of molecular cavity polaritons has stimulated a surge of experimental and theoretical activities and presents a unique opportunity to develop the many-body simulation methodology. This paper presents a numerical scheme for the extraction of key kinetic information of lossy cavity polaritons based on the transfer tensor method (TTM). Steady state, relaxation timescales, and oscillatory phenomena can all be deduced directly from a set of transfer tensors without the need for long-time simulation.

View Article and Find Full Text PDF

Want 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!