In this short note, we express our viewpoint regarding declaring study success based on Bayesian predictive probability of study success.
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| http://dx.doi.org/10.1007/s43441-022-00456-3 | DOI Listing |
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Third molar maturity index for discriminating between adults and minors: validation in an Iranian sample.
J Forensic Odontostomatol
December 2024
Department of Oral and Maxillofacial Radiology, School of Dentistry, Shiraz University of Medical Sciences, Shiraz, Iran.
The life-altering effects of criminal trials necessitate providing reliable methods to distinguish adults (≥18) from minors (< 18). The present study aims to evaluate the accuracy of the third molar maturity index (I3M) introduced by Cameriere et al. (2008) in distinguishing adults from minors in the Iranian population.
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Genesupport, Avenue de Sévelin 18, Lausanne, Switzerland.
Catalysis and specifically autocatalysis are the quintessential building blocks of life. Yet, although autocatalytic networks are necessary, they are not sufficient for the emergence of life-like properties, such as replication and adaptation. The ultimate and potentially fatal threat faced by molecular replicators is parasitism; if the polymerase error rate exceeds a critical threshold, even the fittest molecular species will disappear.
View Article and Find Full Text PDFInvestigating the contributors to hit-and-run crashes using gradient boosting decision trees.
PLoS One
January 2025
School of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing, Jiangsu, China.
A classification prediction model is established based on a nonlinear method-Gradient Boosting Decision Tree (GBDT) to investigate the factors contributing to a perpetrator's escape behavior in hit-and-run crashes. Given the U.S.
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PLoS One
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General Surgery, Cancer Center, Department of Vascular Surgery, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China.
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School of Applied Sciences, University of West of England, Bristol, United Kingdom.
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