Previous experiments showed that pigeons allowed to smell olfactory cues at a 'false' release site, and subsequently transported to and released from another unfamiliar locality, oriented according to the home direction at the false site but eventually homed despite their wrong initial orientation. In the above 'site simulation' experiments, data collection was restricted to the initial bearings and homing performance, and no information was obtained on the actual route flown by pigeons. Route correction in site simulation tests is now investigated by releasing pigeons equipped with bird-borne direction recorders to track their route. Our results show that the experimental birds can actually fly for a long time in wrong directions, related to the home direction at the false release site, before correcting their path to the true homeward direction. This correction occurs 2 h or more after release, when the birds are supposed to have recovered from the anaesthesia of their olfactory membranes which they had been subjected to just prior to release. This result confirms the basic role of the olfactory information, collected during the outward journey, in the pigeon's homing process.
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http://dx.doi.org/10.1016/s0376-6357(98)00054-0 | DOI Listing |
Eur J Nucl Med Mol Imaging
January 2025
Nuclear Medicine and Clinical Molecular Imaging, University Hospital Tuebingen, Otfried-Mueller-Str. 14, 72076, Tuebingen, Germany.
Purpose: Somatostatin receptor (SSTR)-PET is crucial for effective treatment stratification of neuroendocrine neoplasms (NENs). In highly proliferating or poorly differentiated NENs, dual-tracer approaches using additional [F]FDG PET can effectively identify SSTR-negative disease, usually requiring separate imaging sessions. We evaluated the feasibility of a one-day dual-tracer imaging protocol with a low activity [F]FDG PET followed by an SSTR-PET using the recently introduced [F]SiFAlin-TATE tracer in a long axial field-of-view (LAFOV) PET/CT scanner and its implications in patient management.
View Article and Find Full Text PDFJ Drug Target
January 2025
College of Pharmacy, Harbin Medical University, Harbin, 150081, China.
Arsenic trioxide (ATO), the active ingredient in Chinese arsenic, effectively inhibits hepatocellular carcinoma (HCC) cell growth, but its clinical application is limited by the lack of a targeted delivery system. Phosphatidylinositol proteoglycan 3 (GPC3) is specifically expressed in HCC, and CPP44 is a cell-penetrating peptide that targets HCC cells. Here, we developed a liposome incorporating ATO with dual surface modifications of anti-GPC3 antibody and CPP44.
View Article and Find Full Text PDFJ Phys Chem B
January 2025
Department of Chemical Engineering, School of Engineering, The University of Manchester, Oxford Road, Manchester M13 9PL, U.K.
In this article, we present three mesoscopic models for water. All three models make use of local density-dependent interaction potentials, as employed within the Pagonabarraga-Frenkel framework [Pagonabarraga, I.; Frenkel, D.
View Article and Find Full Text PDFBMJ Open
January 2025
Department of Obstetrics and Gynecology, University of Toronto, Toronto, Ontario, Canada.
Objectives: To study the effect of implementing a Trial of Labour After Caesarean (TOLAC) delivery bundle with respect to decreasing caesarean delivery rates across five hospitals.
Design: Prospective quality improvement study.
Setting: Five Canadian hospital sites participated, two academic centres and three community hospitals, with annual delivery rates ranging from 2500 to 7500 per site.
Philos Trans A Math Phys Eng Sci
January 2025
Brigham Young University, Provo, UT, USA.
There are powerful tools for modelling swarms that have strong spatial structures like flocks of birds, schools of fish and formations of drones, but relatively little work on developing formalisms for other swarm structures like hub-based colonies doing foraging, maintaining a nest or selecting a new nest site. We present a method for finding low-dimensional representations of swarm state for simulated homogeneous hub-based colonies solving the best-of-N problem. The embeddings are obtained from latent representations of convolution-based graph neural network architectures and have the property that swarm states which have similar performance have very similar embeddings.
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