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Consultancy Deed 4%
file · #67

dential Information is disclosed warrants not to disclose the Confidential Information in accordance with clause 6.1; (b) that party obtains the prior written consent of the party who is the owner of the Confidential Information; (c) that part of the Confidential Information which is to be disclosed is available in the public domain (other than as a result of a breach by the Company of this Deed); or (d) the disclosure is required by law. 6.3 Return of Confidential Information On termination of this Deed, each party must immediately return all Confidential Information which is the property of the other party and which is in the first party's possession or control, to the party who is the owner of the Confidential Information. 6.4 Uncertainty If the Company is uncertain about whether information is Confidential Information, or lawfully within the public domain, the information is taken to be Confidential Information unless the Company is advised by the Client in writing that the information is not Confidential Information. 7 INTELLECTUAL PROPERTY AND MORAL RIGHTS 7.1 Ownership of Intellectual Property The parties acknowledge and agree that the following provisions apply in respect of ownership of Intellectual Property: (a) if the Client makes available or introduces any of the Client's Intellectual Property during the Term, then all rights to that Intellectual Property will remain the sole property of the Client; (b) if the Company makes available or introduces any of the Company's Intellectual Property during the Term, then all rights to that original Intellectual Property will remain the sole property of the Company; and 7.2 Assignment of Intellectual Property (a) The Company presently assign to the Client all existing and future Intellectual Property rights in all

Proposing a short version of the Unesp-Botucatu pig acute pain scale using a novel application of machine learning technique 2%
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 2%
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/​

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

Sutureless Technique for Surgical Castration in Adult Boars: A Feasibility Study 1%
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 1%
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.

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 · #35

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)

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)

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