If approved, the fund would trade on Nasdaq, giving traditional investors easier access to the AVAX token through a regulated vehicle. The move marks the second regulatory step in the conversion ...

CHENNAI: The state government has decided to convert the entire 118 acres of land retrieved from the Madras Race Club (MRC) into a waterbody, a move aimed at boosting flood mitigation and groundwater ...

Kenya is in talks with China to convert dollar-denominated debt the East African nation owes its biggest bilateral lender to yuan and extend the repayment period, Treasury Secretary John Mbadi said.

NAIROBI, Aug 20 (Reuters) - Kenya is in talks with China to convert a dollar-denominated railway loan into Chinese yuan, an aide to the Finance Minister John Mbadi told Reuters on Wednesday. China is ...

Investing.com -- US Commerce Secretary Lutnick said Tuesday that the United States cannot rely on Taiwan to manufacture semiconductors and expressed hope that Intel (NASDAQ:INTC) could become a ...

The proposal to convert Carnarvon Golf Course into a cemetery will be formally presented to residents on Tuesday. The local Labor MP has described the plans as "lazy and short-sighted," claiming the ...

The Interborough Express will cover 14 miles through Brooklyn and Queens and create 19 new stations on an existing right-of-way. The Metropolitan Transportation Authority is advancing plans to convert ...

TF Cornerstone made the announcement after signing a new ground lease with the building’s landowner, 700 Lexington LLC, controlled by William Wallace. Jeremy Shell, principal at TF Cornerstone, ...

Dubbed Tower 57, this property will comprise 350 multifamily units upon completion. Image courtesy of Yardi Research Data TF Cornerstone will convert Tower 57, a 397,354-square-foot office tower in ...

With Grouped AS ( SELECT td.hobbies_1, td.hobbies_2, COUNT(*) AS count FROM _temp_data td GROUP BY GROUPING SETS ( (td.hobbies_1), (td.hobbies_2) ) ) SELECT jsonb ...

Have you ever found yourself staring at a long, messy column of data, wondering how to quickly transform it into a clean, structured table? For anyone working with Power Query, this challenge is all ...