Nominal means unadjusted for inflation or simply a face value in finance. Nominal fees are minor compared to the main product or service cost. Market values of stocks and bonds can differ ...
The Local Food for Schools program, a federal program that funneled $8.8 million to Washington, played a crucial role in helping 160 districts boost the amount of fresh produce and locally grown meat, ...
Editor’s note: Keep up with live updates as Michigan budget talks make progress to avoid government shutdown. With state lawmakers poised to pass the Oct. 1 deadline without a final budget package, ...
To get you up to speed, Rowling wrote the Harry Potter book series that catapulted Emma to global fame when she was cast as one of the leading roles in the movie adaptations at age 10. Since 2020, ...
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As a highly contagious respiratory disease, influenza exhibits significant spatiotemporal fluctuations in incidence, posing a persistent threat to public health and placing considerable strain on ...
Accurately identifying fracture zones and their types in strata is of great significance for enhancing oil and gas recovery efficiency. Due to its complicated geological structure and long-term ...
The funds in most U.S. retirement accounts are pretty basic - stocks and bonds. But what about investing in all kinds of other stuff? That's the idea behind a recent executive order signed by ...
President Trump signed an executive order to clear the way for Americans to add new types of investments to their 401(k) outside of traditional stocks and bonds, opening the door to higher-risk ...
Trump to sign executive order allowing crypto, real estate, and private equity in 401(k) retirement plans. Fiduciaries may receive updated guidance clarifying how ERISA applies to crypto in retirement ...
The Trump administration is rescinding Biden administration guidance that discouraged cryptocurrency investing by 401(k) plans. The 2022 guidance directed plan fiduciaries to exercise “extreme care” ...
ABSTRACT: Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering ...