QUALITY MARKER DISCOVERY AND QUALITY EVALUATION OF EUCOMMIA ULMOIDES POLLEN USING UPLC-QTOF-MS COMBINED WITH A DPPH-HPLC ANTIOXIDANT ACTIVITY SCREENING METHOD

Quality Marker Discovery and Quality Evaluation of Eucommia ulmoides Pollen Using UPLC-QTOF-MS Combined with a DPPH-HPLC Antioxidant Activity Screening Method

Pollen, as an important component of Eucommia ulmoides (EUP), is rich in nutrients and is receiving increasing attention.At present, there are no reports on research related to the chemical composition and quality standards of EUP, and there are significant quality differences and copyright phenomena in the market.This study used a UPLC-QTOF-MS sys

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Predictive Power Estimation Algorithm (PPEA)--a new algorithm to reduce overfitting for genomic biomarker discovery.

Toxicogenomics promises to aid in predicting adverse effects, understanding the mechanisms of drug action or toxicity, and uncovering unexpected or secondary OtherRestraints pharmacology.However, modeling adverse effects using high dimensional and high noise genomic data is prone to over-fitting.Models constructed from such data sets often consist

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Environment-Readiness Entrepreneurship Intention Model: The Case of Estonians and the Russian-Speaking Minority in Estonia

The entrepreneurship intention Bottle research is mainly focused on individual related features, and the aspects of the external environment are not sufficiently considered.The present article aims to present and empirically test the Environment-Readiness Entrepreneurship Intention (EREI) Model, which consists of the perception of the environment (

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