quoll

Taylor & Francis Group

10 results · hybrid · 746.55534ms

Filters
Effects of a Multimodal Pain Control Protocol Using 2% Lidocaine Intradermal and Meloxicam Intramuscular on Mitigating Behavioral Castration Pain in Piglets Using a Needleless System 36%
Erin Elizabeth King-Podzaline, Gabriella-Louise Stephen, Alexandria Bokhart, Pedro Henrique Esteves Trindade, Victoria Rocha Merenda & Monique Danielle Pairis-Garcia · file · #15

…Published by Informa View supplementary material UK Limited, trading as Taylor & Francis Group. Published online: 18 Dec 2024. Submit your article to this journal Article views: 659 View related articles View Crossmark…

Anesthesia for Livestock Husbandry Procedures—An Australian Perspective 6%
Sabrina Lomax; Meredith Sheil; Peter Windsor · file · #51

…Taylor and Francis shall not be liable for any losses, actions, claims, proceedings, demands, costs, expenses, damages, and other liabilities whatsoever or howsoever caused arising directly or indirectly in connection with, in…

Effects of a Multimodal Pain Control Protocol Using 2% Lidocaine Intradermal and Meloxicam Intramuscular on Mitigating Behavioral Castration Pain in Piglets Using a Needleless System 6%
Erin Elizabeth King-Podzaline; Gabriella-Louise Stephen; Alexandria Bokhart; Pedro Henrique Esteves Trindade; Victoria Rocha Merenda; Monique Danielle Pairis-Garcia · file · #82

…Published by Informa View supplementary material UK Limited, trading as Taylor & Francis Group. Published online: 18 Dec 2024. Submit your article to this journal Article views: 659 View related articles View Crossmark…

Proposing a short version of the Unesp-Botucatu pig acute pain scale using a novel application of machine learning technique 3%
Giovana Mancilla Pivato; Gustavo Venâncio da Silva; Beatriz Granetti Peres; Stelio Pacca Loureiro Luna; Monique Danielle Pairis-Garcia; Pedro Henrique Esteves Trindade · file · #103

eting interests The authors declare no competing interests. Additional information Supplementary Information The online version contains supplementary material available at ​h​t​t​p​s​:​/​/​d​oi​ ​.​o​r​g​/​1​ 0​.​10​ ​3​8​/​s​4​1​5​9​8-​ ​0​2​5​-​9​1​5​5​1​-​6​​​.​ ​​ Correspondence and requests for materials should be addressed to P.H.E.T. Reprints and permissions information is available at www.nature.com/reprints. Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit ​h​t​t​p​:/​ ​/​c​r​e​a​t​i​v​ec​ ​o​m​m​o​ n​s​.​o​rg​ ​/​l​i​c​e​n​s​e​s/​

Proposing a short version of the Unesp-Botucatu pig acute pain scale using a novel application of machine learning technique 3%
Giovana Mancilla Pivato; Gustavo Venâncio da Silva; Beatriz Granetti Peres; Stelio Pacca Loureiro Luna; Monique Danielle Pairis-Garcia; Pedro Henrique Esteves Trindade · file · #36

eting interests The authors declare no competing interests. Additional information Supplementary Information The online version contains supplementary material available at ​h​t​t​p​s​:​/​/​d​oi​ ​.​o​r​g​/​1​ 0​.​10​ ​3​8​/​s​4​1​5​9​8-​ ​0​2​5​-​9​1​5​5​1​-​6​​​.​ ​​ Correspondence and requests for materials should be addressed to P.H.E.T. Reprints and permissions information is available at www.nature.com/reprints. Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit ​h​t​t​p​:/​ ​/​c​r​e​a​t​i​v​ec​ ​o​m​m​o​ n​s​.​o​rg​ ​/​l​i​c​e​n​s​e​s/​

Sutureless Technique for Surgical Castration in Adult Boars: A Feasibility Study 2%
Stella Maria Teresa Romeo; Sarah Morrone; Toufic Akl; Antonio Scanu; Nicolò Columbano · file · #77

tor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Sutureless Technique for Surgical Castration in Adult Boars: A Feasibility Study 2%
Stella Maria Teresa Romeo; Sarah Morrone; Toufic Akl; Antonio Scanu; Nicolò Columbano · file · #10

tor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Welfare Footprint Framework: Methodological Foundations and Quantitative Assessment Guidelines 1%
Alonso, W. J.; Schuck-Paim, C. · file · #104

This document provides foundational methodological guidelines and quantitative assessment standards for implementing the Welfare Footprint Framework (WFF). The guidelines outlined herein serve as a practical reference for conducting systematic, evidence-based measurement of animal welfare impacts, facilitating decision-making and benchmarking across sectors. This core documentation should be cited as: Alonso, W. J., & Schuck-Paim, C. (2025). Welfare Footprint Framework: Methodological Foundations and Quantitative Assessment Guidelines. Center for Welfare Metrics (Sao Paulo). https://doi.org/10.17605/osf.io/94bxs 1 Summary................................................................................................................................. 3 Innovative Tools and Metrics....................................................................................................4 Introduction............................................................................................................................. 5 Trademark Usage and Requirements........................................................................................ 6 Core Framework Components.................................................................................................. 6 Intraspecific Analyses............................................................................................................ 12 Definition of Analytical Boundaries........................................................................................ 12 I. Zootechnical Description..........................................................................................................13 II. Veterinary

Simplified assessment of castration‑induced pain in pigs using lower complexity algorithms 1%
Gustavo Venâncio da Silva; Giovana Mancilla Pivato; Beatriz Granetti Peres; Stelio Pacca Loureiro Luna; Monique Danielle Pairis‑Garcia; Pedro Henrique Esteves Trindade · file · #102

ence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creat​iveco​mmons.​org/​licen​ses/​by/4.​0/. © The Author(s) 2023 Scientific Reports | (2023) 13:21237 | https://doi.org/10.1038/s41598-023-48551-1 10 Vol:.(1234567890)

Load more results