Biolaw Technology, Inc. is the world's leading dental laser company, is a medical technology company that develops, manufactures and markets lasers and related products focused on technologies that advance the practice of dentistry and medicine. The Company's products incorporate patented and patent pending technologies designed to provide clinically superior performance with less pain and faster recovery times. BIOLASE's principal products are dental laser systems that perform a broad range of dental procedures, including cosmetic and complex surgical applications. Other products under development address ophthalmology and other medical and consumer markets....
+See MoreSharpe-Lintner-Black CAPM alpha (Premium Members Only) Fama-French (1993) 3-factor alpha (Premium Members Only) Fama-French-Carhart 4-factor alpha (Premium Members Only) Fama-French (2015) 5-factor alpha (Premium Members Only) Fama-French-Carhart 6-factor alpha (Premium Members Only) Dynamic conditional 6-factor alpha (Premium Members Only) Last update: Saturday 6 December 2025
2023-09-14 09:28:00 Thursday ET

Colin Camerer, George Loewenstein, and Matthew Rabin assess the recent advances in the behavioral economic science. Colin Camerer, George Loewenstei
2019-05-15 12:32:00 Wednesday ET

The May administration needs to seek a fresh fallback option for Halloween Brexit. After the House of Commons rejects Brexit proposals from the May administ
2018-11-23 09:39:00 Friday ET

Former White House chief economic advisor Gary Cohn points out that there is no instant cure for the Sino-U.S. trade dilemma. After the U.S. midterm electio
2023-04-28 16:38:00 Friday ET

Peter Schuck analyzes U.S. government failures and structural problems in light of both institutions and incentives. Peter Schuck (2015) Why
2016-10-19 00:00:00 Wednesday ET

India's equivalent to Warren Buffett in America, Rakesh Jhunjhunwala, offers several key lessons for stock market investors: When the press o
2019-09-01 10:31:00 Sunday ET

Most artificial intelligence applications cannot figure out the intricate nuances of natural language and facial recognition. These intricate nuances repres