5 research outputs found

    The Relationship between Principles-based Accounting Rules and Audit Fees

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    This paper examines the relations between principles-based accounting standards and audit fees. Our empirical evidence suggests auditors charge a lower fee when firms’ standards are more principles based. Further analyses indicate this fee saving is more pronounced for firms with stronger corporate governance and firms in post-SOX era. Our result is consistent with the notion that principles-based accounting standards improve earnings quality and reduce auditor’s risk-related premium. The results add to the growing body of literature examining cost/benefit of principles-based accounting standards, as well as to the literature of the determinants of audit fees

    One-class models for validation of miRNAs and ERBB2 gene interactions based on sequence features for breast cancer scenarios

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    One challenge in miRNA–genes–diseases interaction studies is that it is challenging to find labeled data that indicate a positive or negative relationship between miRNA and genes. The use of one-class classification methods shows a promising path for validating them. We have applied two one-class classification methods, Isolation Forest and One-class SVM, to validate miRNAs interactions with the ERBB2 gene present in breast cancer scenarios using features extracted via sequence-binding. We found that the One-class SVM outperforms the Isolation Forest model, with values of sensitivity of 80.49% and a specificity of 86.49% showing results that are comparable to previous studies. Additionally, we have demonstrated that the use of features extracted from a sequence-based approach (considering miRNA and gene sequence binding characteristics) and one-class models have proven to be a feasible method for validating these genetic molecule interactions

    Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review

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