Abstract: A computer-implemented media content optimization platform includes a media server programmed for receiving original media content comprising streaming media content and extracting audio and/or video data from the received streaming media content. A media processor of the platform is programmed for dividing the transmitted audio and/or video data media content into multiple audio component segments and multiple video component segments, applying at least one optimizing profile to at least the audio component segments of the streaming media content, and combining each of the video component segments with their corresponding optimized audio component segments to generate at least one optimized streaming media content segment.

Abstract: Systems, methods, and non-transitory computer-readable media can determine a first dataset provided by a first party, wherein the first dataset includes a set of vectors that are each associated with a user identifier. A second dataset provided by a second party can be determined, wherein the second dataset includes a set of vectors that are each associated with a user identifier. One or more vectors in the first dataset can be matched to vectors in the second dataset based on a secure multi-party computation without revealing respective graph information of the first party or the second party. Respective mappings between vectors in the first dataset to a set of shared universal identifiers can be provided to the first party. Respective mappings between vectors in the second dataset to the set of shared universal identifiers can be provided to the second party.

Abstract: A content publisher may transfer an impression token value to a user in response to the content publisher displaying an advertisement for a merchant to the user. The content publisher may record the transfer on a zero knowledge blockchain. The merchant may transfer a conversion token value to the user in response to the user making a purchase from the merchant. The merchant may record the transfer on the zero knowledge blockchain. The user may transfer the impression token value and the conversion token value to a measurement company. The measurement company may calculate attribution and lift results for the advertisement.

Abstract: The invention provides a method of extracting protein from a protein source material such as egg white material. The method comprises contacting a crosslinked alginate-based carrier with the protein source material and allowing the protein to bind to the carrier, so as to form a protein-loaded carrier product. The method then comprises separating the protein-loaded carrier product from the remaining protein source material.

Abstract: A system is provided for modifying media content, including remastering audio or video components of the content. The system may include an application programming interface programmed for communicating selected mastering profiles to a user interface; applying the mastering profiles to uploaded original media content files; separating the uploaded media content files into their audio and video component portions; applying the selected mastering profiles to at least the audio component portion to generate a remastered audio component portion; and, combining the video component portions with the remastered audio component portions to generate modified media content files. The system may also include a user interface programmed for selecting original media content files for electronic upload from an access device; displaying multiple available mastering profiles in connection with the selected media content files; and receiving and previewing the modified media content files.

Abstract: A content publisher may transfer an impression token value to a user in response to the content publisher displaying an advertisement for a merchant to the user. The content publisher may record the transfer on a zero knowledge blockchain. The merchant may transfer a conversion token value to the user in response to the user making a purchase from the merchant. The merchant may record the transfer on the zero knowledge blockchain. The user may transfer the impression token value and the conversion token value to a measurement company. The measurement company may calculate attribution and lift results for the advertisement.

Abstract: Systems, methods, and non-transitory computer-readable media can generate individual feature data for each user of a plurality of users. A first cohort comprising a first plurality of users is generated, wherein the first plurality of users are selected from the plurality of users based on the individual feature data. A first set of cohort feature data associated with the first cohort is generated based on individual feature data for the first plurality of users. The first set of cohort feature data and a first set of cohort membership information are transmitted to a modeler. The first set of cohort membership information identifies each user of the plurality of users.

Abstract: Systems, methods, and non-transitory computer-readable media can determine a set of mappings between vectors in a first dataset associated with a first party to a set of shared universal identifiers based on a secure multi-party computation. A set of mappings can be determined between vectors in a second dataset associated with a second party to the set of shared universal identifiers based on the secure multi-party computation. Membership information for each vector in the first dataset can be obtained. The membership information indicating whether an individual associated with the vector is assigned to a test group, a control group, or neither. Conversion information for each vector in the second dataset can be obtained. The conversion information indicating whether an individual converted. Conversion counts for the test group and the control group can be determined based at least in part on the membership information and the conversion information.

Abstract: The present invention relates to specific binding molecules that bind the HLA-A*02 restricted peptide GLSPTVWLSV (SEQ ID NO: 1) derived from HBV envelope protein. The specific binding molecules may comprise alpha and/or beta TCR variable domains and may comprise non-natural mutations within the alpha and/or beta variable domains relative to a native TCR. The specific binding molecules of the invention are particularly suitable for use as novel immunotherapeutic reagents for the treatment of infectious or malignant disease.

Abstract: Secure multi-party computations may be used to get attribution results without compromising user privacy. A content provider and an advertiser may each sign a calculation indicating that they wish to share data using a secure multi-party computation. A measurement company may sign the calculation indicating that the measurement company has evaluated the computation and that the computation will protect user privacy. A user device may confirm with the verification service that all parties have signed the calculation. The user device may transmit one-time identifiers to the measurement company, which allows impression data and conversion data stored by the content provider and the advertiser to be linked. The content provider, the advertiser, and the measurement company may perform the secure multi-party computation, which allows the advertiser to evaluate attribution results without accessing the user data stored by the content provider.

Abstract: Secure multi-party computations may be used to get attribution results without compromising user privacy. A content provider and an advertiser may each sign a calculation indicating that they wish to share data using a secure multi-party computation. A measurement company may sign the calculation indicating that the measurement company has evaluated the computation and that the computation will protect user privacy. A user device may confirm with the verification service that all parties have signed the calculation. The user device may transmit one-time identifiers to the measurement company, which allows impression data and conversion data stored by the content provider and the advertiser to be linked. The content provider, the advertiser, and the measurement company may perform the secure multi-party computation, which allows the advertiser to evaluate attribution results without accessing the user data stored by the content provider.

Abstract: There is provided a method of identifying a resin for isolating or enriching a protein of interest using affinity chromatography. The method comprises the steps of: i) providing the three-dimensional structure of the protein of interest; ii) determining and/or calculating one or more parameters of the protein of interest in its two- and/or three-dimensional form; iii) determining and/or calculating one or more parameters of one or more resin in their two- and/or three-dimensional form; and iv) selecting a resin expected to bind complementarily to the protein of interest based upon one or more of the parameters of the protein of interest.

Abstract: An online system receives a list of third party user identifiers from a third party attribution system, each associated with one or more user action events by each of a set of users across multiple content providers. The online system determining if it has its own user identifiers that match to at least a subset of the received third party user identifiers. The online system determines relevant impressions corresponding to the matching online system user identifiers, and sends them to the third party attribution system along with an associated subset of the third party user identifiers.

Abstract: Semi-anonymous tracking cookies may be utilized to provide relevant content and advertisements to users, while maintaining user privacy. A content publisher may place a tracking cookie on a device. The tracking cookie may include an attribute identifying the cookie as a cross-site semi-anonymous tracking cookie. The device may request anonymization advice for the tracking cookie. An anonymization service may provide anonymization advice for the tracking cookie. The device may store a semi-anonymous value based on the anonymization advice. The semi-anonymous value may be shared by multiple devices. The content publisher may store the actions performed by the multiple devices, without uniquely identifying which device performed the actions. Content and advertisements may be targeted to the device based on the stored actions performed by the multiple devices sharing the semi-anonymous value for the tracking cookie. Additionally, attribution for conversions may be calculated based on the stored actions.

Abstract: A content publisher may transfer an impression token value to a user in response to the content publisher displaying an advertisement for a merchant to the user. The content publisher may record the transfer on a zero knowledge blockchain. The merchant may transfer a conversion token value to the user in response to the user making a purchase from the merchant. The merchant may record the transfer on the zero knowledge blockchain. The user may transfer the impression token value and the conversion token value to a measurement company. The measurement company may calculate attribution and lift results for the advertisement.

Abstract: Secure multi-party computations may be used to get attribution results without compromising user privacy. A content provider and an advertiser may each sign a calculation indicating that they wish to share data using a secure multi-party computation. A measurement company may sign the calculation indicating that the measurement company has evaluated the computation and that the computation will protect user privacy. A user device may confirm with the verification service that all parties have signed the calculation. The user device may transmit one-time identifiers to the measurement company, which allows impression data and conversion data stored by the content provider and the advertiser to be linked. The content provider, the advertiser, and the measurement company may perform the secure multi-party computation, which allows the advertiser to evaluate attribution results without accessing the user data stored by the content provider.

Abstract: In various embodiments, tools and techniques are provided for automatically retrieving data associated with licensing media. One method includes receiving, in a computer system, a request including inputs identifying parameters for matching different media licenses or media license types. The computer system employs a load balancer for determining a server to process the request. Based on the received parameters, matching media licenses are identified and displayed for access by a user interface. Also, based on the request, the method involves locating and retrieving content stored in different data storage media in response to a quality attribute associated with the content.

Abstract: A license plate covering assembly includes a frame that may be coupled to a vehicle. The frame may surround a license plate on the vehicle. The frame comprising a first half that is hingedly coupled to a second half. A window is coupled to the second half. The window facilitates the license plate to be visible when the frame is positioned in a closed position.

Abstract: A license plate covering assembly includes a frame that may be coupled to a vehicle. The frame may surround a license plate on the vehicle. The frame comprising a first half that is hingedly coupled to a second half. A window is coupled to the second half. The window facilitates the license plate to be visible when the frame is positioned in a closed position.

Abstract: Embodiments are directed to purchasing and storing media licenses and to identifying and presenting media licenses base on parameters. In one scenario, a computer system instantiates a user interface that includes the following: a field configured to present information relating to identified media licenses, an actionable element that allows selection of the type of media license to be acquired by a user for a selected media item, a field that displays a determined price for the selected type of media license, and an actionable element that processes payment for the selected type of media license. The purchased license is added to a collection of media licenses that includes the purchased media license and any previously purchased media licenses.