TESTED

Brand Owner (click to sort) Address Description
ANANDIA TESTED Anandia Laboratories Inc. #322-2259 Lower Mall Vancouver, B.C. V6T1Z4 Canada TESTED;Consumer product safety testing services; Material testing; Testing of living plants, living plant propagation material and plant-derived products; none of the foregoing relating to cannabis or cannabis derivatives with a delta-9 THC concentration of more than 0.3 percent on a dry weight basis;
ITESTED MADRE LABS 17400 Laguna Canyon Rd., Suite 400 Irvine CA 92618 I TESTED;Testing the goods of others for product quality;
TESTED TRUSTED NSF INTERNATIONAL 789 North Dixboro Road Ann Arbor MI 48105 TESTED;Testing, analysis and evaluation of the goods and services of others for the purpose of certification;
TITAN TESTED WEST DIRECT LABS 74 Maple Street Stoughton MA 02072 TESTED;testing and analysis of motor oils to detect the presence of contaminants, metals, water, and antifreeze and the preparation and furnishing to the customer of a written report summarizing the test results, including information as to the likely source of contaminants;
TITAN TESTED SIEGEL OIL CO. 1380 ZUNI ST. DENVER CO 80204 TESTED;testing and analysis of motor oils to detect the presence of contaminants, metals, water, and antifreeze and the preparation and furnishing to the customer of a written report summarizing the test results, including information as to the likely source of contaminants;
U.S. ARMY YPG TOUGH TESTED AT YPG DEPARTMENT OF THE ARMY The Pentagon Washington DC 20310 TESTED;Testing, analysis and evaluation of the goods and services of others for the purpose of certification; Designing and testing of new products for others;
 

Where the owner name is not linked, that owner no longer owns the brand

    
Technical Examples
  1. A method for named-entity (NE) recognition and verification is provided. The method can extract at least one to-be-tested segments from an article according to a text window, and use a predefined grammar to parse the at least one to-be-tested segments to remove ill-formed ones. Then, a statistical verification model is used to calculate the confidence measurement of each to-be-tested segment to determine where the to-be-tested segment has a named-entity or not. If the confidence measurement is less than a predefined threshold, the to-be-tested segment will be rejected. Otherwise, it will be accepted.