Comparing performances and effectiveness of machine learning classifiers in detecting financial accounting fraud for Turkish SMEs

Turkish small- and medium-sized enterprises (SMEs) are exposed to fraud risks and creditor banks are facing big challenges to deal with financial accounting fraud.This study explores effectiveness of machine learning classifiers in detecting financial accounting fraud assessing financial statements of 341 Turkish SMEs from 2013 to 2017.The data are

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Foundational principles of classical Ayurveda research

Double-blind randomized controlled trials (RCTs) are viewed as the golden standard of drug research in Western medicine.However, RCTs are far from "golden" in many respects.They are impractical for many therapies, such as for surgeries and complex lifestyle changes.They encourage a one-size-fits-all approach to medical treatment that fails to addre

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Shape-memory properties of magnetically active triple-shape nanocomposites based on a grafted polymer network with two crystallizable switching segments

Thermo-sensitive shape-memory polymers (SMP), which are capable of memorizing two or more different shapes, have generated significant research and technological interest.A Ice Cube Tray triple-shape effect (TSE) of SMP can be activated e.g.by increasing the environmental temperature (Tenv), whereby two switching temperatures (Tsw) have to be excee

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