Abstract: Methods, devices, and systems for placing dental auxiliaries on teeth and/or removing dental auxiliaries from teeth are provided. In some embodiments, a device for removing a dental auxiliary from a tooth includes: a first elongate member having a proximal end and a distal end; a second elongate member having a proximal end and a distal end, where the first and second elongate members are pivotally coupled to each other; a scraper at the distal end of the second elongate member, where the scraper is configured to apply force to the dental auxiliary to remove the dental auxiliary from the tooth; and a pair of sidewalls configured to capture debris resulting from the removal of the dental auxiliary from the tooth.

Abstract: Systems and methods for confidential database surgical search and access-less retrieval using a hybrid-computing-powered system with multi-thread processing are provided. The systems and methods may include a quantum processor and a classical processor. The systems and methods may include requesting data elements pertinent to reports. The systems and methods may include authenticating requests and creating classical request strings via a classical processor. The systems and methods may include interfacing classical request strings with a quantum processor. The systems and methods may include running Grover's searches in parallel over the request strings. The systems and methods may include fetching data from smart contracts within ledgers and sub-ledgers within a blockchain. The systems and methods may include pulling dynamic market data through a legacy transformation platform including dynamically derived data values and a machine learning model (MLM).

Abstract: A system for providing performance optimization for a software solution may scan multiple predefined levels of the software solution to extract corresponding metadata information from each of the multiple predefined levels. The system may store the extracted corresponding metadata information pertaining to standard parameters associated with performance of the software solution. The system may determine a standard score based on a plurality of attributes of the extracted corresponding metadata information, optimize the determined standard score based on training data received from a learning model, and generate an insight information comprising information related to determined rule violations and of evaluation steps involved in determining the determined standard score.

Abstract: A system for providing performance optimization for a software solution may scan multiple predefined levels of the software solution to extract corresponding metadata information from each of the multiple predefined levels. The system may store the extracted corresponding metadata information pertaining to standard parameters associated with performance of the software solution. The system may determine a standard score based on a plurality of attributes of the extracted corresponding metadata information, optimize the determined standard score based on training data received from a learning model, and generate an insight information comprising information related to determined rule violations and of evaluation steps involved in determining the determined standard score.