Abstract: A method for detecting and verifying A.I.-generated material, said method comprising the steps of: receiving a submitted material; analyzing the received material for attributes characteristic of at least one of an A.I.-generated material or human-generated material; scoring the analyzed material for a detection score; flagging the scored material above a pre-defined detection score; prompting a verification request for at least one submission of a response to at least one of a question or task; analyzing said response material by referencing against the submitted material for a verification score; and verifying the authenticity of the submitted material based on the verification score.

Abstract: A flapper check valve includes a valve seat body. Two flapper valve portions are each mounted on their own shaft to the valve seat body, and pivotable between open and closed positions. The flapper valve portions pivot in a common rotational direction to the open position and to the closed position. A fluid systems is also disclosed.

Abstract: A flapper check valve includes a valve seat body. Two flapper valve portions are each mounted on their own shaft to the valve seat body, and pivotable between open and closed positions. The flapper valve portions pivot in a common rotational direction to the open position and to the closed position. A fluid systems is also disclosed.

Abstract: The present invention provides methods for enhancing T cell activation and expansion, and methods for stimulating a T cell immune response in a subject. The methods of the invention involve the use of a targeting agent-enzyme conjugate that contains (a) a targeting moiety that specifically binds a cell surface molecule on T cells, and (b) a sialidase or enzymatically active fragment thereof. Also provided in the invention are targeting agent-enzyme conjugates that can be used in the therapeutic methods, including antibody conjugates that are formed of a sialidase and a T cell targeting antibody (e.g., an anti-PD1 antibody).

Abstract: An approach for predictively scoring test case results in real-time. Test case results associated with a test run are received by a software testing environment. Using predictive statistical models, test case results and attribute relationships are matched against model rules and test case history. A statistical correlation and confidence parameter provide the ability to generate test case relationships for predicting the outcome of other test cases in the test run. The test case relationships are transformed into scoring results and output for the further processing.

Abstract: An approach for predictively scoring test case results in real-time. Test case results associated with a test run are received by a software testing environment. Using predictive statistical models, test case results and attribute relationships are matched against model rules and test case history. A statistical correlation and confidence parameter provide the ability to generate test case relationships for predicting the outcome of other test cases in the test run. The test case relationships are transformed into scoring results and output for the further processing.

Abstract: An approach for predictively scoring test case results in real-time. Test case results associated with a test run are received by a software testing environment. Using predictive statistical models, test case results and attribute relationships are matched against model rules and test case history. A statistical correlation and confidence parameter provide the ability to generate test case relationships for predicting the outcome of other test cases in the test run. The test case relationships are transformed into scoring results and output for the further processing.

Abstract: An approach for predictively scoring test case results in real-time. Test case results associated with a test run are received by a software testing environment. Using predictive statistical models, test case results and attribute relationships are matched against model rules and test case history. A statistical correlation and confidence parameter provide the ability to generate test case relationships for predicting the outcome of other test cases in the test run. The test case relationships are transformed into scoring results and output for the further processing.

Abstract: An approach for predictively scoring test case results in real-time. Test case results associated with a test run are received by a software testing environment. Using predictive statistical models, test case results and attribute relationships are matched against model rules and test case history. A statistical correlation and confidence parameter provide the ability to generate test case relationships for predicting the outcome of other test cases in the test run. The test case relationships are transformed into scoring results and output for the further processing.

Abstract: An approach for predictively scoring test case results in real-time. Test case results associated with a test run are received by a software testing environment. Using predictive statistical models, test case results and attribute relationships are matched against model rules and test case history. A statistical correlation and confidence parameter provide the ability to generate test case relationships for predicting the outcome of other test cases in the test run. The test case relationships are transformed into scoring results and output for the further processing.

Abstract: An approach for predictively scoring test case results in real-time. Test case results associated with a test run are received by a software testing environment. Using predictive statistical models, test case results and attribute relationships are matched against model rules and test case history. A statistical correlation and confidence parameter provide the ability to generate test case relationships for predicting the outcome of other test cases in the test run. The test case relationships are transformed into scoring results and output for the further processing.

Abstract: The present disclosure includes methods and systems for identifying articles. One method embodiment includes positioning a number of movable Faraday screens in particular locations relative to a number of different stages in a laundering process, and moving a mobile electronic identification device (EID) reader past the locations.

Abstract: The present disclosure includes methods and systems for identifying articles. One method embodiment includes positioning a number of movable Faraday screens in particular locations relative to a number of different stages in a laundering process, and moving a mobile electronic identification device (EID) reader past the locations.