Camellia oil, recognized as a high-quality edible oil endorsed by the Food and Agriculture Organization, is confronted with authenticity issues arising from fraudulent adulteration practices.These practices not only pose health risks but also lead to economic losses.This study proposes a novel machine learning framework, referred to as a transforme
Background Although hepatocellular Shipping-Fee carcinoma (HCC) is the most common type of primary liver cancer, there is a lack of effective diagnostic measures.Circular RNAs (circRNAs) can be used as biomarkers for monitoring the occurrence and development of HCC.However, a convenient and reliable serum circRNA biomarker is not currently availabl
Background: The more the cancer treatments progress, the more the needs increase to taper and discontinue opioids in cancer patients.Furthermore, opioid dependence of cancer survivors has become a bigger problem.However, a safe opioid tapering and discontinuation method has not yet been established in cancer patients.Objective: To suggest a safe op
In a multi-cultural democracy based on Pancasila philosophy of independence, ethnic, religious, racial and intergroup issues it call (SARA) are political indicators that can trigger conflict and division.If the player is ambitious and power-hungry, then he Handlebar Set will not hesitate to do everything he can to gain power, even build a big consp
We present a novel benchmark and associated evaluation metrics for assessing the performance of text anonymization methods.Text anonymization, defined as the task Impedance Simulator of editing a text document to prevent the disclosure of personal information, currently suffers from a shortage of privacy-oriented annotated text resources, making it