Sex of guard dogs and their behaviour towards external dogs. af Konstanze Krueger (6750239)

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The effect of the guard dogs’ socialization on their proximity of 1–3 body lengths with goats and horses and their behaviour towards their own species, farm animals, farm persons a... af Konstanze Krueger (6750239)

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Observation methods. af Konstanze Krueger (6750239)

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Guard dogs (N = 19) by breed, in proximity of 1–3 body lengths to goats and horses. af Konstanze Krueger (6750239)

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Protocol data. af Konstanze Krueger (6750239)

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The observed guard dogs’ proximity to goats and horses. af Konstanze Krueger (6750239)

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Field observation data. af Konstanze Krueger (6750239)

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Observed direction of the guard dogs’ (N = 15) behaviour when guarding horses. af Konstanze Krueger (6750239)

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Reported direction of the guard dogs’ behaviour when guarding various farm animal species (N = 25 farms). af Konstanze Krueger (6750239)

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Information on the farms and their livestock, and on the applied observation method. af Konstanze Krueger (6750239)

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The observed guard dogs’ behaviour towards their own species, farm animals, farm persons and others. af Konstanze Krueger (6750239)

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Short periods of increased connectivity between ROIs are characterized by a sparse overall network state. af Adam J. O. Dede (11554007)

High-frequency broadband (HFB) peak latency timing changes with memory. af Adam J. O. Dede (11554007)

Table 1_Association between vascular aging and cardiovascular-kidney-metabolic syndrome.docx af Shuyi Zeng (8551422)

“...Further mediation analysis revealed that the triglyceride–glucose (TyG) index mediated 25.23% of the association between ePWV and CKM. In the external validation cohort, the ePWV threshold corresponding to CKM Stage 4 was 8.52, which was consistent in direction and statistical significance with the NHANES-derived model....”

Table 2_Deep learning approach for objective differentiation of kidney deficiency syndrome in reproductive age females: a tongue-face fusion model.xlsx af Kaiwei Li (4372756)

“...We used 5-fold cross-validation to evaluate the performance by six indicators: accuracy, precision, recall, F1 score, receiver operating characteristic (ROC) and area under the curve (AUC). Finally, external validation was conducted on an independent test set consisting of 130 patients with a 1:1 ratio of KDS to NKDS cases....”

Table 1_Deep learning approach for objective differentiation of kidney deficiency syndrome in reproductive age females: a tongue-face fusion model.xlsx af Kaiwei Li (4372756)

“...We used 5-fold cross-validation to evaluate the performance by six indicators: accuracy, precision, recall, F1 score, receiver operating characteristic (ROC) and area under the curve (AUC). Finally, external validation was conducted on an independent test set consisting of 130 patients with a 1:1 ratio of KDS to NKDS cases....”

Table 2_Development and validation of a nomogram-based prediction model for hospital-acquired carbapenem-resistant Acinetobacter baumannii in critically ill patients: a multicenter... af Wenjing Jiang (7436471)

“...Future research should focus on prospective external validation and integration of environmental surveillance and microbiological genomic data to enhance the model’s predictive accuracy and generalizability....”

Table 1_Development and validation of a nomogram-based prediction model for hospital-acquired carbapenem-resistant Acinetobacter baumannii in critically ill patients: a multicenter... af Wenjing Jiang (7436471)

“...Future research should focus on prospective external validation and integration of environmental surveillance and microbiological genomic data to enhance the model’s predictive accuracy and generalizability....”

Table 1_Cross-species validation of a 6-miRNA blood signature for Parkinson’s disease: from MPTP mice to human PBMC and serum exosomes.docx af Nagyum Jung (22686458)

“...Stability selection identified a 6-miRNA panel comprising miR-92b, miR-133a, miR-326, miR-125b, miR-148a, and miR-30b. External validation demonstrated consistent discriminative performance across platforms: GSE16658 AUC = 0.696 (p = 0.060), GSE269776 AUC = 0.791 (p < 0.001), and GSE269775 AUC = 0.725 (p < 0.001)....”