Hayvancılık Alanında Bootstrap Tekniğinin Bir Uygulaması: Yumurta Sarı Rengi Örneği

Narinç, Doğan; Aygün, Ali; Küçükönder, Hande; Aksoy, Tülin; Gürcan, Eser Kemal

doi:10.9775/kvfd.2014.12693

Cited by 5 publications

(2 citation statements)

References 17 publications

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“…The omnipresent high variance in animal experiments is not only a problem regarding reproducibility but also hampers the usefulness of statistical methods. Non-parametric methods like bootstrapping 37 , 38 can help to obtain more reliable parameter estimators and the corresponding confidence intervals 39 . This method was deemed superior to classical inferential statistics, especially in the clinical context 40 , 41 .…”

Section: Introductionmentioning

confidence: 99%

Robustness of a multivariate composite score when evaluating distress of animal models for gastrointestinal diseases

Talbot

Kumstel

Schulz

et al. 2023

Sci Rep

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The fundament of an evidence-based severity assessment in laboratory animal science is reliable distress parameters. Many readouts are used to evaluate and determine animal distress and the severity of experimental procedures. Therefore, we analyzed four distinct parameters like the body weight, burrowing behavior, nesting, and distress score in the four gastrointestinal animal models (pancreatic ductal adenocarcinoma (PDA), pancreatitis, CCl4 intoxication, and bile duct ligation (BDL)). Further, we determined the parameters’ robustness in various experimental subgroups due to slight variations like drug treatment or telemeter implantations. We used non-parametric bootstrapping to get robust estimates and 95% confidence intervals for the experimental groups. It was found that the performance of the readout parameters is model-dependent and that the distress score is prone to experimental variation. On the other hand, we also found that burrowing and nesting can be more robust than, e.g., the body weight when evaluating PDA. However, the body weight still was highly robust in BDL, pancreatitis, and CCl4 intoxication. To address the complex nature of the multi-dimensional severity space, we used the Relative Severity Assessment (RELSA) procedure to combine multiple distress parameters into a score and mapped the subgroups and models against a defined reference set obtained by telemeter implantation. This approach allowed us to compare the severity of individual animals in the experimental subgroups using the maximum achieved severity (RELSAmax). With this, the following order of severity was found for the animal models: CCl4 < PDA ≈ Pancreatitis < BDL. Furthermore, the robustness of the RELSA procedure and outcome was externally validated with a reference set from another laboratory also obtained from telemeter implantation. Since the RELSA procedure reflects the multi-dimensional severity information and is highly robust in estimating the quantitative severity within and between models, it can be deemed a valuable tool for laboratory animal severity assessment.

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Section: Introductionmentioning

confidence: 99%

Robustness of a multivariate composite score when evaluating distress of animal models for gastrointestinal diseases

Talbot

Kumstel

Schulz

et al. 2023

Sci Rep

View full text Add to dashboard Cite

show abstract

“…The omnipresent high variance in animal experiments is not only a problem regarding reproducibility but also hampers the usefulness of statistical methods. Non-parametric methods like bootstrapping [36,37] can help to obtain more reliable parameter estimators and the corresponding confidence intervals [38]. This method was deemed superior to classical inferential statistics, especially in the clinical context [39,40].…”

Section: Introductionmentioning

confidence: 99%

Robustness of a multivariate composite score when evaluating distress of animal models for gastrointestinal diseases

Talbot

Kumstel

Schulz

et al. 2022

Preprint

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The fundament of an evidence-based severity assessment in laboratory animal science is reliable distress parameters. Many readouts are used to evaluate and determine animal distress and the severity of experimental procedures. Therefore, we analyzed four distinct parameters like the body weight, burrowing behavior, nesting, and distress score in the four gastrointestinal animal models (pancreatic ductal adenocarcinoma (PDA), pancreatitis, CCl4intoxication, and bile duct ligation (BDL)). Further, we determined the parameters‘ robustness in various experimental subgroups due to slight variations like drug treatment or telemeter implantations. We used non-parametric bootstrapping to get robust estimates and 95 % confidence intervals for the experimental groups. It was found that the performance of the readout parameters is model-dependent and that the distress score is prone to experimental variation. On the other hand, we also found that burrowing and nesting can be more robust than, e.g., the body weight when evaluating PDA. However, the body weight still was highly robust in BDL, pancreatitis, and CCl4intoxication. To address the complex nature of the multi-dimensional severity space, we used the Relative Severity Assessment (RELSA) procedure to combine multiple distress parameters into a score and mapped the subgroups and models against a defined reference set obtained by telemeter implantation. This approach allowed us to compare the severity of individual animals in the experimental subgroups using the maximum achieved severity (RELSAmax). With this, the following order of severity was found for the animal models: CCl4< PDA ≈ Pancreatitis < BDL. Furthermore, the robustness of the RELSA procedure and outcome was externally validated with a reference set from another laboratory also obtained from telemeter implantation. Since the RELSA procedure reflects the multi-dimensional severity information and is highly robust in estimating the quantitative severitywithinandbetweenmodels, it can be deemed a valuable tool for laboratory animal severity assessment.

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Innovative foam drying technique for salted egg yolk powder production

Ma,

Yang,

Cui

et al. 2024

J Sci Food Agric

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BACKGROUNDThe powderization of salted egg yolks can circumvent the gelatinization issues that occur during frozen storage. In this study, salted egg yolk powder (SEYP) was prepared using microwave‐assisted foam drying (MFD) technology.RESULTSThe results show that, compared to traditional microwave drying and hot‐air drying, the SEYP prepared by MFD exhibits a bright color and a loose structure, and shows significant improvements in emulsifying properties, lecithin retention rate and antioxidant activity (P < 0.05). The optimal microwave power for MFD of SEYP, established through principal component analysis, is 350 W, with no requirement for a cooking treatment of the salted egg yolks. Gas chromatography–mass spectrometry identified n‐butanol, hexanal, nonanal, ethyl acetate, d‐limonene and isopentanal as the primary volatile compounds in SEYP, contributing to its unique flavor profile. Furthermore, the SEYP prepared using MFD at 350 W also shows a reduction of 18.88% in the content of bitter‐tasting amino acids compared with microwave drying.CONCLUSIONIn summary, MFD technology is a green and efficient drying method suitable for the preparation of flavor‐type SEYP. © 2024 Society of Chemical Industry.

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Hayvancılık Alanında Bootstrap Tekniğinin Bir Uygulaması: Yumurta Sarı Rengi Örneği

Cited by 5 publications

References 17 publications

Robustness of a multivariate composite score when evaluating distress of animal models for gastrointestinal diseases

Robustness of a multivariate composite score when evaluating distress of animal models for gastrointestinal diseases

Robustness of a multivariate composite score when evaluating distress of animal models for gastrointestinal diseases

Innovative foam drying technique for salted egg yolk powder production

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