Specifically designed restraint chairs are the preferred method of restraint for research studies that require NHP to sit in place for sustained periods of time. In light of increasing emphasis on refinement of restraint to improve animal wellbeing, it is important to have a better understanding of this potentially stressful procedure. Although chair restraint is used internationally, very little published information is available on this subject. We developed a survey to obtain an overview of equipment, procedures, and plans for improvement regarding chair restraint. We received 101 responses from people working in academic, government, contract research, and pharmaceutical laboratories within the Americas, Europe and Asia. Findings indicate that the majority of laboratories using restraint chairs work with macaque species. Restraint chairs are used for a wide range of procedures, including cognitive testing, recording neuronal activity, functional MRI, intravenous infusion, and blood sampling. Approximately 2/3 of laboratories use an enclosed 'box chair,' which the animal is trained to enter and then to extend its head through an opening on the top of the chair; the remaining one third of laboratories use an 'open chair' design, in which manual handling or the pole-and-collar system is used to transfer and secure the animal into the chair. Respondents reported that when selecting the type of chair to use, they considered comfort for the animal, ease of use, and the ability to adjust fit between animals of different sizes. Various training methods and timeframes are used to prepare macaques for restraint chair procedures. Several laboratories are incorporating greater use of positive reinforcement training. The community that uses these restraint procedures needs to work together to define best practice; our survey results can help in that effort.
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Science
January 2025
Department of Medicine and Surgery, University of Parma, Parma, Italy.
The current understanding of primate natural action organization derives from laboratory experiments in restrained contexts (RCs) under the assumption that this knowledge generalizes to freely moving contexts (FMCs). In this work, we developed a neurobehavioral platform to enable wireless recording of the same premotor neurons in both RCs and FMCs. Neurons often encoded the same hand and mouth actions differently in RCs and FMCs.
View Article and Find Full Text PDFMaterials (Basel)
December 2024
Centre of Materials and Building Technologies (C-MADE), Department of Civil Engineering and Architecture, University of Beira Interior (UBI), 6201-001 Covilhã, Portugal.
The paper examines the impact of passive restraint on fire-induced spalling in concrete, utilizing a concrete mixture to minimize compositional variability. A variety of specimen geometries was prepared, including standard cubes and cylinders for the determination of mechanical properties and slabs of different dimensions for fire spalling tests conducted under controlled conditions. A top-opening Dragon furnace, which applies ISO 834-1 fire curves, was used to evaluate the influence of "cold rim" boundaries, where slab edges were insulated to create thermal restraint.
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October 2024
Department of Anesthesiology, Uniformed Services University of the Health Sciences, Bethesda, USA.
Fertil Steril
September 2024
Department of Obstetrics and Gynecology, Research Unit of Clinical Medicine, University of Oulu and Oulu University Hospital, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland. Electronic address:
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Nat Commun
September 2024
Technische Universität Berlin, Chair of Bioanalytics, Berlin, Germany.
Scarcity of structural and evolutionary information on protein complexes poses a challenge to deep learning-based structure modelling. We integrate experimental distance restraints obtained by crosslinking mass spectrometry (MS) into AlphaFold-Multimer, by extending AlphaLink to protein complexes. Integrating crosslinking MS data substantially improves modelling performance on challenging targets, by helping to identify interfaces, focusing sampling, and improving model selection.
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