Abstract: This paper proposes a new method to depict the dynamic characteristics of hybrid AC/DC power distribution system with high-proportion renewable energy sources (RES), and describe its ...

Sampling is an essential step in estimating a parameter: thus, cost and time associated to this step should be minimized. Sequential sampling is characterized by using samples of variable sizes given ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Thomas J. Brock is a CFA and CPA with more ...

Introduction: Species distribution models can predict the spatial distribution of vector-borne diseases by forming associations between known vector distribution and environmental variables. In ...

When reduced-sugar gummy startup Häppy Candy debuted last fall it launched a free sampling campaign online supported by nano-influencers to help drive foot traffic to local retailers, gather consumer ...

The AccSamplingDesign package provides tools for designing acceptance sampling plans for both attribute and variable data. Key features include: p1 = 0.005 p2 = 0.03 alpha = 0.05 beta = 0.1 # known ...

Sampling from probability distributions with known density functions (up to normalization) is a fundamental challenge across various scientific domains. From Bayesian uncertainty quantification to ...

In the first part of his video interview with Pharma Commerce Editor Nicholas Saraceno, Mark Jara, founder and CTO, RxS, describes the progression of the sample distribution process. In a video ...

Reinforcement learning from human feedback RLHF is essential for ensuring quality and safety in LLMs. State-of-the-art LLMs like Gemini and GPT-4 undergo three training stages: pre-training on large ...

Predicting the timing of phenological events is important in agriculture, especially high-revenue products. A project sponsored by USDA-ARS had the objective of adapting a previously developed model ...