The Performance Fluoropolymer Partnership (PFP) represents the world’s leading manufacturers, formulators, or processors of fluoropolymers. PFP members promote the responsible production, use, and management of fluoropolymers and advocate for a sound science- and risk-based approach to regulation.

The Performance Fluoropolymer Partnership (PFP), founded in 2020, is a global organization that represents the world’s leading companies that manufacture, formulate, or process fluoropolymers.

The American Chemistry Council’s (ACC) Performance Fluoropolymer Partnership (hereafter “PFP”) has developed a White Paper that focuses on the Infrastructure & Construction (I&C) end-use segments noted below. The PFP’s members are some of the world’s leading manufacturers, processors and users of fluoropolymers, including

WASHINGTON (May 13, 2020) – AGC Inc., the Chemours Company LLC, and Daikin Industries Ltd. have formed a new organization, the Performance Fluoropolymer Partnership (PFP). “Fluoropolymers make important products for vital industries possible,” said Jay West, a representative of PFP .

ACC strongly supports the responsible production, use and management of fluorinated substances and supports a comprehensive approach to managing PFAS that is protective of human health and the environment.

Plasmid pRFP from Dr. Ron Weiss's lab contains the insert LacI, HcRed and is published in Nature. 2005 Apr 28. 434(7037):1130-4. This plasmid is available through Addgene.

提供 prfp-c-rs 载体/质粒图谱，全长序列，抗性，大小和元件信息。

2023年8月21日 · 本文详细解释了准确率、精度、召回率和F1分数在多标签分类任务中的计算方法，讨论了不同平均值处理策略（如micro、macro和weighted）以及如何根据样本量差异调整评估指标。 还提及了P-R曲线在优化样本分配中的作用。 1. 准确率 ACC： 其中， ncorrect 为被正确分类的样本个数， ntotal 为总样本个数。 分类器不将负样本标记为正样本的能力。 ‘binary’: 仅报告由pos_label指定的类的结果. 这仅适用于目标（y_ {true, pred}）是二进制的情况. ‘ micro ’: 通过 …

Below you find information about the composition of the Invesco Preferred Shares UCITS ETF. The performance numbers include distributions/dividends (if there are any). By default, the total performance of the ETF is displayed. Volatility, annualised, measured for 1, 3 and 5 year periods.

2020年10月6日 · 通俗解释：以预测值是否与真实值相符，判别真假； AC C = T P + F P + F N +T N T P +T N. 接下来我们考虑ROC曲线图中的四个点和一条线。 第一个点 （0,1），即FPR (False Positive Rate)=0，TPR (True Positive Rate)=1;这是一个完美的分类器，负样本分错的概率为0，正样本分对的概率为1，即所有的样本预测值与真实值相符。 这是一个最糟糕的分类器，负样本分错的概率为1，正样本分对的概率为0，即所有的样本预测值与真实值都不相符。 负样本分 …